Medicare Program; Comprehensive Care for Joint Replacement Payment Model for Acute Care Hospitals Furnishing Lower Extremity Joint Replacement Services, 73273-73554 [2015-29438]
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Vol. 80
Tuesday,
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November 24, 2015
Part II
Department of Health and Human Services
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Centers for Medicare & Medicaid Services
42 CFR Part 510
Medicare Program; Comprehensive Care for Joint Replacement Payment
Model for Acute Care Hospitals Furnishing Lower Extremity Joint
Replacement Services; Final Rule
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Federal Register / Vol. 80, No. 226 / Tuesday, November 24, 2015 / Rules and Regulations
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Centers for Medicare & Medicaid
Services
42 CFR Part 510
[CMS–5516–F]
RIN 0938–AS64
Medicare Program; Comprehensive
Care for Joint Replacement Payment
Model for Acute Care Hospitals
Furnishing Lower Extremity Joint
Replacement Services
Centers for Medicare &
Medicaid Services (CMS), HHS.
ACTION: Final rule.
AGENCY:
This final rule implements a
new Medicare Part A and B payment
model under section 1115A of the
Social Security Act, called the
Comprehensive Care for Joint
Replacement (CJR) model, in which
acute care hospitals in certain selected
geographic areas will receive
retrospective bundled payments for
episodes of care for lower extremity
joint replacement (LEJR) or
reattachment of a lower extremity. All
related care within 90 days of hospital
discharge from the joint replacement
procedure will be included in the
episode of care. We believe this model
will further our goals in improving the
efficiency and quality of care for
Medicare beneficiaries with these
common medical procedures.
DATES: These regulations are effective
on January 15, 2016, and applicable on
April 1, 2016 when the first model
performance period begins.
FOR FURTHER INFORMATION CONTACT:
Claire Schreiber, Claire.Schreiber@
cms.hhs.gov, 410 786 8939.
Gabriel Scott, Gabriel.Scott@
cms.hhs.gov, 410 786 3928.
SUPPLEMENTARY INFORMATION:
SUMMARY:
Electronic Access
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This Federal Register document is
also available from the Federal Register
online database through Federal Digital
System (FDsys), a service of the U.S.
Government Printing Office. This
database can be accessed via the
internet at https://www.gpo.gov/fdsys/.
Alphabetical List of Acronyms
Because of the many terms to which
we refer by acronym, abbreviation, or
short form in this final rule, we are
listing the acronyms, abbreviations and
short forms used and their
corresponding terms in alphabetical
order.
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mSA Micropolitan Statistical Area
ACE Acute Care Episode
ACO Accountable Care Organization
APM Alternative Payment Model
ASC Ambulatory Surgical Center
ASPE Assistant Secretary for Planning and
Evaluation
BPCI Bundled Payments for Care
Improvement
CAH Critical Access Hospital
CBSA Core-Based Statistical Area
CCN CMS Certification Number
CFR Code of Federal Regulations
CJR Comprehensive Care for Joint
Replacement
CMHC Community Mental Health Center
CMI Case Mix Index
CMMI Center for Medicare and Medicaid
Innovation
CMP Civil Monetary Penalty
CMS Centers for Medicare & Medicaid
Services
CoPs Conditions of Participation
CPCi Comprehensive Primary Care
Initiative
CPT Current Procedural Terminology
CSA Combined Statistical Area
DME Durable Medical Equipment
DMEPOS Durable Medical Equipment,
Prosthetics, Orthotics, and Supplies
eCQM Electronic Clinical Quality Measures
EFT Electronic funds transfer
ESRD End-Stage Renal Disease
FFS Fee-for-service
GAAP Generally Accepted Accounting
Principles
GEM General Equivalence Mapping
GPCI Geographic Practice Cost Index
HAC Hospital-Acquired Condition
HACRP Hospital-Acquired Condition
Reduction Program
HCAHPS Hospital Consumer Assessment of
Healthcare Providers and Systems
HCC Hierarchical Condition Category
HCPCS Healthcare Common Procedure
Coding System
HHA Home health agency
HHPPS Home Health Prospective Payment
System
HHRG Home Health Resource Group
HHVBP Home Health Value-Based
Purchasing
HIT Health Information Technology
HIQR Hospital Inpatient Quality Reporting
HLMR HCAHPS Linear Mean Roll Up
HOOS Hip Dysfunction and Osteoarthritis
Outcome Score
HOPD Hospital outpatient department
HRR Hospital Referral Region
HRRP Hospital Readmissions Reductions
Program
HVBP Hospital Value Based Purchasing
Program
ICD–9–CM International Classification of
Diseases, 9th Revision, Clinical
Modification
ICD–10–CM International Classification of
Diseases, 10th Revision, Clinical
Modification
IPPS Inpatient Prospective Payment System
IPF Inpatient psychiatric facility
IRF Inpatient rehabilitation facility
KOOS Knee Injury and Osteoarthritis
Outcome Score
LEJR Lower extremity joint replacement
LOS Length of stay
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LTCH Long term care hospital
LUPA Low Utilization Payment Adjustment
MAC Medicare Administrative Contractor
MACRA Medicare Access and Chip
Reauthorization Act of 2015
MAPCP Multi-Payer Advanced Primary
Care Practice model
MCC Major Complications or Comorbidities
MCCM Medicare Care Choices Model
MDH Medicare-Dependent Hospital
MedPAC Medicare Payment Advisory
Commission
MIPS Merit-based Incentive Payment
System
MP Malpractice
MPFS Medicare Physician Fee Schedule
MSA Metropolitan Statistical Area
MS–DRG Medical Severity DiagnosisRelated Group
NPI National Provider Identifier
NPP Nonphysician Practitioner
NPRA Net Payment Reconciliation Amount
NQF National Quality Forum
OCM Oncology Care Model
OPPS Outpatient Prospective Payment
System
PAC Post-Acute Care
PBPM Per Beneficiary Per Month
PE Practice Expense
PGP Physician Group Practice
PHA Partial hip arthroplasty
PPS Prospective Payment System
PRO Patient-Reported Outcome
PROMIS Patient-Reported Outcomes
Measurement Information Systems
PRO–PM Patient-Reported Outcome
Performance Measure
QIO Quality Improvement Organization
RAC Recovery Audit Contractor
RRC Rural Referral Center
RSCR Risk-Standardized Complication Rate
RSRR Risk-Standardized Readmission Rate
RVU Relative Value Unit
SCH Sole Community Hospital
SNF Skilled nursing facility
THA Total hip arthroplasty
TIN Taxpayer identification number
TKA Total knee arthroplasty
TP Target price
VR–12 Veterans Rand 12 Item Health Survey
Table of Contents
I. Executive Summary
A. Purpose
B. Summary of the Major Provisions
1. Model Overview: LEJR Episodes of Care
2. Model Scope
3. Payment
4. Similar, Previous, and Concurrent
Models
5. Overlap With Ongoing CMS Efforts
6. Quality Measures and Reporting
Requirements
7. Data Sharing Process
8. Beneficiary Protections
9. Financial Arrangements and Program
Policy Waivers
C. Summary of Economic Effects
II. Background
A. General Background
B. Acronym of This Model
C. Public Comments Received in Response
to the CJR Proposed Rule
III. Provisions of the Proposed Regulations
and Analysis of and Responses to Public
Comments
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A. Definition of the Episode Initiator and
Selected Geographic Areas
1. Background
2. Definition of Episode Initiator
3. Financial Responsibility for the Episode
of Care
4. Geographic Unit of Selection and
Exclusion of Selected Hospitals
a. Overview and Options for Geographic
Area Selection
b. MSA Selection Methodology
(1) Exclusion of Certain MSAs
(2) Selection Strata
(a) MSA Average Wage-Adjusted Historic
LEJR Episode Payments
(b) MSA Population Size
(c) Analysis of Strata
(3) Factors Considered But Not Used in
Creating Proposed Strata
(4) Sample Size Calculations and the
Number of Selected MSAs
(5) Method of Selecting MSAs
B. Episode Definition for the CJR Model
1. Background
2. Clinical Dimension of Episodes of Care
a. Definition of the Clinical Conditions
Included in the Episode
b. Definition of Related Services Included
in the Episode
3. Duration of Episodes of Care
a. Beginning the Episode and Beneficiary
Care Inclusion Criteria
b. Middle of the Episode
c. End of the Episode
C. Methodology for Setting Episode Prices
and Paying Model Participants Under the
CJR Model
1. Background
2. Performance Years, Retrospective
Episode Payment, and Two-Sided Risk
Model
a. Performance Period
b. Retrospective Payment Methodology
c. Two-Sided Risk Model
3. Adjustments to Payments Included in
Episode
a. Treatment of Special Payment Provisions
Under Existing Medicare Payment
Systems
b. Treatment of Payment for Services That
Extend Beyond the Episode
c. Pricing Adjustment for High Payment
Episodes
4. Episode Price Setting Methodology
a. Overview
b. Pricing Features
(1) Different Target Prices for Episodes
Anchored by MS–DRG 469 vs. MS–DRG
470
(2) Three Years of Historical Data
(3) Trending of Historical Data to the Most
Recent Year of the Three
(4) Update Historical Episode Payments for
Ongoing Payment System Updates
(a) Inpatient Acute Services Update Factor
(b) Physician Services Update Factor
(c) IRF Services Update Factor
(d) SNF Services Update Factor
(e) HHA Services Update Factor
(f) Other Services Update Factor
(5) Blend Hospital-Specific and Regional
Historical Data
(6) Define Regions as U.S. Census Divisions
(7) Normalize for Provider-Specific Wage
Adjustment Variations
(8) Combination of CJR Episodes Anchored
by MS–DRGs 469 and 470
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(9) Discount Factor
c. Approach To Combine Pricing Features
5. Use of Quality Performance in the
Payment Methodology
a. Background
b. Implementation of Quality Measures for
in the Payment Methodology
(1) General Selection of Quality Measures
(2) Adjustment to the Payment
Methodology for Voluntary Submission
of Data for Patient-Reported Outcome
Measure
(3) Measure Risk-Adjustment and
Calculations
(4) Applicable Time Period
(5) Criteria for Applicable Hospitals and
Performance Scoring
(a) Identification of Applicable Hospitals
for the CJR Model
(b) Methodology to Determine Performance
on the Quality Measures
(c) Methodology to Link Quality and
Payment
(i) Background
(ii) Alternatives Considered To Link
Quality and Payment
(iii) Threshold Methodology and Final
Policy to Link Quality and Payment
6. Process for Reconciliation
a. Net Payment Reconciliation Amount
b. Payment Reconciliation
7. Adjustments for Overlaps With Other
CMMI Models and CMS Programs
a. Overview
b. CJR Beneficiary Overlap With BPCI
Episodes
c. Accounting for CJR Reconciliation
Payments and Repayments in Other
Models and Programs
d. Accounting for Per Beneficiary Per
Month (PBPM) Payments in the Episode
Definition
e. Accounting for Overlap With Other
Medicare Initiatives Involving Shared
Savings and Total Cost of Care Models
8. Limits or Adjustments to Hospital
Financial Responsibility
a. Overview
b. Limit on Raw NPRA Contribution to
Repayment Amounts and Reconciliation
Payments
(1) Limit on Raw NPRA Contribution to
Repayment Amounts
(2) Limit on Raw NPRA Contribution To
Reconciliation Payments
c. Policies for Certain Hospitals To Further
Limit Repayment Responsibility
d. Hospital Responsibility for Increased
Post-Episode Payments
9. Appeal Procedures
a. Payment Processes
b. Calculation Error
c. Dispute Resolution
(1) Limitations on Review
(2) Matters Subject To Dispute Resolution
(3) Dispute Resolution Process
10. Financial Arrangements and
Beneficiary Incentives
a. Financial Arrangements
(1) CJR Sharing Arrangement Requirements
(2) Participation Agreement Requirements
(3) Gainsharing Payment and Alignment
Payment Conditions and Restrictions
(4) Documentation and Maintenance of
Records
b. Beneficiary Incentives Under the CJR
Model
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11. Waivers of Medicare Program Rules
a. Overview
b. Post-Discharge Home Visits
c. Billing and Payment for Telehealth
Services
d. SNF 3-Day Rule
e. Waivers of Medicare Program Rules to
Allow Reconciliation Payment or
Repayment Actions Resulting From the
Net Payment Reconciliation Amount
12. Enforcement Mechanisms
D. Quality Measures and Display of Quality
Metrics Used in the CJR Model
1. Background
a. Purpose of Quality Measures in the CJR
Model
b. Public Display of Quality Measures in
the CJR Model
2. Quality Measures for Performance Year
1 (CY 2016) and Subsequent Years
a. Hospital-Level Risk-Standardized
Complication Rate (RSCR) Following
Elective Primary Total Hip Arthroplasty
(THA) and/or Total Knee Arthroplasty
(TKA) (NQF #1550)
(1) Background
(2) Data Sources
(3) Cohort
(4) Inclusion and Exclusion Criteria
(5) Risk-Adjustment
(6) Calculating the Risk-Standardized
Complication Rate and Performance
Period
b. Hospital-Level 30-Day, All-Cause RiskStandardized Readmission Rate (RSRR)
Following Elective Primary Total Hip
Arthroplasty (THA) and/or Total Knee
Arthroplasty (TKA) (NQF #1551)
(1) Background
(2) Data Sources
(3) Cohort
(4) Inclusion and Exclusion Criteria
(5) Risk-Adjustment
(6) Calculating the Risk-Standardized
Readmission Rate and Performance
Period
c. Hospital Consumer Assessment of
Healthcare Providers and Systems
(HCAHPS) Survey
(1) Background
(2) Data Sources
(3) Cohort
(4) Inclusion and Exclusion Criteria
(5) Case-Mix-Adjustment
(6) HCAHPS Scoring
(7) Performance Period
d. Applicable Time Period
3. Possible New Outcomes for Future
Measures
a. Hospital-Level Performance Measure(s)
of Patient-Reported Outcomes Following
Elective Primary Total Hip and/or Total
Knee Arthroplasty
(1) Background
(2) Data Sources
(3) Cohort
(4) Inclusion and Exclusion Criteria
(5) Outcome
(6) Risk-Adjustment (If Applicable)
(7) Calculating the Risk-Standardized Rate
(8) Performance Period
(9) Requirements for Successful
Submission of THA/TKA Voluntary Data
b. Measure That Captures Shared DecisionMaking Related to Elective Primary Total
Hip and/or Total Knee Arthroplasty
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c. Future Measures Around Care Planning
d. Future Measures for Use of Health IT
and Health Enforcement Exchange
4. Form, Manner and Timing of Quality
Measure Data Submission
5. Display of Quality Measures and
Availability of Information for the Public
From the CJR Model
E. Data Sharing
1. Overview
2. Beneficiary Claims Data
3. Aggregate Regional Data
4. Timing and Period of Baseline Data
5. Frequency and Period of Claims Data
Updates for Sharing BeneficiaryIdentifiable Claims Data During the
Performance Period
6. Legal Permission To Share BeneficiaryIdentifiable Data
F. Monitoring and Beneficiary Protection
1. Introduction and Summary
2. Beneficiary Choice and Beneficiary
Notification
3. Monitoring for Access to Care
4. Monitoring for Quality of Care
5. Monitoring for Delayed Care
G. Coordination With Other Agencies
IV. Evaluation Approach
A. Background
B. Design and Evaluation Methods
C. Data Collection Methods
D. Key Evaluation Research Questions
E. Evaluation Period and Anticipated
Reports
V. Collection of Information Requirements
VI. Regulatory Impact Analysis
A. Statement of Need
B. Overall Impact
C. Anticipated Effects
1. Overall Magnitude of the Model and Its
Effects on the Market
2. Effects on the Medicare Program
a. Assumptions and Uncertainties
b. Analyses
c. Further Consideration
3. Effects on Beneficiaries
4. Effects on Small Entities
5. Effects on Small Rural Hospitals
6. Unfunded Mandates
D. Alternatives
E. Accounting Statement
F. Conclusion
Regulations Text
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I. Executive Summary
A. Purpose
The purpose of this final rule is to
implement a new payment model called
the Comprehensive Care for Joint
Replacement (CJR) model under the
authority of the Center for Medicare and
Medicaid Innovation (CMMI). Section
1115A of the Social Security Act (the
Act) authorizes CMMI to test innovative
payment and service delivery models to
reduce program expenditures while
preserving or enhancing the quality of
care furnished to Medicare, Medicaid,
and Children’s Health Insurance
Program beneficiaries. The intent of the
CJR model is to promote quality and
financial accountability for episodes of
care surrounding a lower-extremity joint
replacement (LEJR) or reattachment of a
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lower extremity procedure.1 CJR will
test whether bundled payments to acute
care hospitals for LEJR episodes of care
will reduce Medicare expenditures
while preserving or enhancing the
quality of care for Medicare
beneficiaries. We anticipate the CJR
model will benefit Medicare
beneficiaries by improving the
coordination and transition of care,
improving the coordination of items and
services paid for through Medicare FeeFor-Service (FFS), encouraging more
provider investment in infrastructure
and redesigned care processes for higher
quality and more efficient service
delivery, and incentivizing higher value
care across the inpatient and post-acute
care (PAC) spectrum spanning the
episode of care. We will test the CJR
model for 5 performance periods,
beginning April 1, 2016, and ending
December 31, 2020. Under FFS,
Medicare makes separate payments to
providers and suppliers for the items
and services furnished to a beneficiary
over the course of treatment (an episode
of care). With the amount of payments
dependent on the volume of services
delivered, providers may not have
incentives to invest in quality
improvement and care coordination
activities. As a result, care may be
fragmented, unnecessary, or duplicative.
We have previously used our
statutory authority under section 1115A
of the Act to test bundled payment
models such as the Bundled Payments
for Care Improvement (BPCI) initiative.
Bundled payments, for multiple services
in an episode of care, hold participating
organizations financially accountable
for an episode of care. They also allow
participants to receive payment, in part,
based on the reduction in expenditures
for Medicare arising from their care
redesign efforts.
We believe the CJR model will further
the mission of CMMI and the Secretary’s
goal of increasingly paying for value
rather than for volume,2 because it will
promote the alignment of financial and
other incentives for all health care
providers and suppliers caring for a
beneficiary during an LEJR episode. In
the CJR model, the acute care hospital
that is the site of surgery will be held
accountable for spending during the
1 In this final rule, we use the term LEJR to refer
to all procedures within the Medicare SeverityDiagnosis Related Groups (MS–DRGs) we selected
for the model, including reattachment of a lower
extremity, as described in section III.B.2.a. of this
final rule.
2 Sylvia Mathews Burwell, HHS Secretary,
Progress Towards Achieving Better Care, Smarter
Spending, Healthier People, https://www.hhs.gov/
blog/2015/01/26/progress-towards-better-caresmarter-spending-healthier-people.html (January
26, 2015).
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episode of care. Participant hospitals
will be afforded the opportunity to earn
performance-based payments by
appropriately reducing expenditures
and meeting certain quality metrics.
They will also gain access to data and
educational resources to better
understand LEJR patients’ PAC needs
and associated spending. Payment
approaches that reward providers that
assume financial and performance
accountability for a particular episode of
care create incentives for the
implementation and coordination of
care redesign between hospitals and
other providers and suppliers.
The CJR model requires the
participation of hospitals in multiple
geographic areas that might not
otherwise participate in the testing of
bundled payments for episodes of care
for LEJR procedures. Other episodebased, bundled payment models being
tested by the Centers for Medicare &
Medicaid Services (CMS), such as the
BPCI initiative, are voluntary in nature.
Interested participants must apply to
such models to participate. To date, we
have not tested an episode payment
model with bundled payments in which
providers are required to participate. We
recognize that realizing the full
potential of new payment models will
require the engagement of an even
broader set of providers than have
participated to date, providers who may
only be reached when new payment
models are applied to an entire class of
providers of a service. As such, we are
interested in testing and evaluating the
impact of a bundled payment approach
for LEJR procedures in a variety of
circumstances, especially among those
hospitals that may not otherwise
participate in such a test.
This model will allow CMS to gain
experience with making bundled
payments to hospitals who have a
variety of historic utilization patterns;
different roles within their local
markets; various volumes of services;
different levels of access to financial,
community, or other resources; and
various levels of population and health
provider density including local
variations in the availability and use of
different categories of PAC providers.
We believe that by requiring the
participation of a large number of
hospitals with diverse characteristics,
the CJR model will result in a robust
data set for evaluation of this bundled
payment approach, and will stimulate
the rapid development of new evidencebased knowledge. Testing the model in
this manner will also allow us to learn
more about patterns of inefficient
utilization of health care services and
how to incentivize the improvement of
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quality for common LEJR procedure
episodes. This learning potentially
could inform future Medicare payment
policy.
This final rule implements a model
focused on episodes of care for LEJR
procedures. We chose LEJR episodes for
the CJR model because as discussed in
depth in section III.C. of this final rule,
these are high-expenditure, high
utilization procedures commonly
furnished to Medicare beneficiaries,3
where significant variation in spending
for procedures is currently observed.
The high volume of episodes and
variation in spending for LEJR
procedures create a significant
opportunity to test and evaluate the CJR
model that specifically focuses on a
defined set of procedures. Moreover,
there is substantial regional variation in
PAC referral patterns and the intensity
of PAC provided for LEJR patients, thus
resulting in significant variation in PAC
expenditures across LEJR episodes
initiated at different hospitals. The CJR
model will enable hospitals to consider
the most appropriate PAC for their LEJR
patients. The CJR model additionally
will offer hospitals the opportunity to
better understand their own processes
with regard to LEJR, as well as the
processes of post-acute providers.
Finally, while many LEJR procedures
are planned, the CJR model will provide
a useful opportunity to identify
efficiencies both for when providers can
plan for LEJR procedures and for when
the procedure must be performed
urgently.
The following is a summary of the
comments received on the proposed
model as a whole, including the
authority for the model and general
comments on CMS’ implementation of
the CJR model at this time and our
responses.
Comment: A commenter stated that
while the proposed rule emphasized the
learning CMS hoped to gain from
implementing and testing the CJR
model, it made inadequate mention of
the potential benefits to beneficiaries,
providers, hospitals, and other
stakeholders. Other commenters
3 For example, total hip arthroplasty and total
knee arthroplasty procedures are very high volume
LEJR procedures that together represent the largest
payments for procedures under Medicare. Suter L,
Grady JL, Lin Z et al.: 2013 Measure Updates and
Specifications: Elective Primary Total Hip
Arthroplasty (THA) And/Or Total Knee
Arthroplasty (TKA) All-Cause Unplanned 30-Day
Risk-Standardized Readmission Measure (Version
2.0). 2013. https://www.cms.gov/Medicare/QualityInitiatives-Patient-Assessment-Instruments/
HospitalQualityInits/Measure-Methodology.html;
Bozic KJ, Rubash HE, Sculco TP, Berry DJ., An
analysis of Medicare payment policy for total joint
arthroplasty. J Arthroplasty. Sep 2008; 23(6 Suppl
1):133–138.
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contended that bundled payment
models encourage hospitals to engage in
care stinting and potentially stifle
innovation.
Response: We appreciate the
commenters’ concerns. We refer readers
to section III.F. of this final rule for
discussion of monitoring and
beneficiary protections under this
model which we believe will address
the commenters’ concerns about care
stinting. We expect that the CJR model
will benefit not just CMS, but also
beneficiaries, hospitals, and other
providers in the health care system. The
goals of this model are to improve the
quality of care furnished to beneficiaries
and reduce spending during LEJR
episodes. Beneficiaries would directly
benefit from improved care coordination
and care redesign activities that reduce
readmissions and complications rates,
for example, as well as provide an
improved care experience during the
inpatient hospitalization and postdischarge period. Hospitals also stand to
benefit from the CJR model, in the form
of the opportunity to earn reconciliation
payments if successful under the model,
and a structured incentive to redesign
care processes for beneficiaries
receiving LEJR procedures. For example,
section III.C.11. of this final rule details
waivers of Medicare program rules that
would allow hospitals to test additional
ways to introduce flexibility into care
processes and improve the quality of
care for beneficiaries. In addition,
providers and suppliers across the
spectrum of care provided during an
LEJR episode could also benefit from the
care redesign strategies as well as the
financial arrangements as detailed in
section III.C.10. of this final rule.
Finally, we disagree with commenters
that the CJR model will stifle innovation
for care furnished during an LEJR
episode. We proposed, and are
finalizing in this final rule, a payment
methodology that will account for
changes in care patterns and utilization
trends for LEJR episodes by updating
the historical performance periods used
throughout the model, as described in
section III.C.4. of this final rule. In
addition, the CJR financial incentives
would be consistent with clinical
practices that result in reductions of
spending during LEJR episodes,
allowing hospitals that engage in such
practices to earn reconciliation
payments and engage with other
providers furnishing services during the
episode, as discussed in section III.C.10.
of this final rule.
Comment: Several commenters
questioned CMS’ legal authority to
require participation in a model.
Commenters stated that CMS lacks the
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legal authority to compel participation
in a model, and that CMS misreads
section 1115A(a)(5) of the Act as the
legal basis for compelling providers in
selected Metropolitan Statistical Area
(MSAs) to participate in the CJR model.
A commenter stated that language in the
Act has never been interpreted to afford
the Secretary the authority to compel
provider participation in a Medicare
demonstration project or model, and
that the Congress intended for model
tests to be voluntary, not mandatory,
when authorizing CMS to test new
models. The commenter noted that
requiring providers to participate in a
model that would encompass a
substantial proportion of a particular
service would render the statutory
distinction between testing and
expanding models meaningless. The
commenter also expressed concern
about the model’s potential effect on
beneficiaries’ appeal rights. Several
commenters stated that CMS is
sidestepping the legal safeguards
designed to prevent the Agency from
imposing novel or haphazard models on
providers prior to adequate testing and
evaluation. Commenters also claimed
that CMS had exceeded its statutory
authority because under section 1115A
of the Act, providers are precluded from
appealing their selection in a model,
raising further concern that CMS is
overreaching by requiring participation
in the CJR model. Commenters also
noted that there is no precedent for a
CMS demonstration or model that
requires providers to participate.
Finally, several commenters stated that
CMS has reversed the intended
sequence of testing and then expanding
models.
Response: We disagree with
commenters that we lack the legal
authority to test the CJR model as
proposed and specifically, to require the
participation of selected hospitals. We
note that although CJR will be the first
Innovation Center model in which acute
care hospitals are required to
participate, we refer readers to the 2016
Home Health Prospective Payment
System (HHPS) Final Rule, which
finalizes the Home Health Value-Based
Purchasing (HHVBP) model. Home
health agencies in selected states will be
required to participate in the HHVBP
model beginning in January 2016.
We believe that both section 1115A
and the Secretary’s existing authority to
operate the Medicare program authorize
the CJR model as we have proposed and
are finalizing it. Section 1115A of the
Act authorizes the Secretary to test
payment and service delivery models
intended to reduce Medicare costs while
preserving quality. The statute does not
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require that models be voluntary, but
rather gives the Secretary broad
discretion to design and test models that
meet certain requirements as to
spending and quality. Although section
1115A(b) of the Act describes a number
of payment and service delivery models
that the Secretary may choose to test,
the Secretary is not limited to those
models. Rather, models to be tested
under section 1115A of the Act must
address a defined population for which
there are either deficits in care leading
to poor clinical outcomes or potentially
avoidable expenditures. Here, the CJR
model addresses a defined population
(FFS Medicare beneficiaries undergoing
LEJR procedures) for which there are
potentially avoidable expenditures
(arising from less than optimal care
coordination). For the reasons described
elsewhere in this rule, we have
determined that it is necessary to test
this model among varying types of
hospitals that have not chosen to
voluntarily participate in another
episode payment model such as BPCI.
As noted elsewhere in this final rule, we
are testing an episode approach for LEJR
episodes through the voluntary BPCI
models. We have designed the CJR
model to require participation by
hospitals in order to avoid the selection
bias inherent to any model in which
providers may choose whether to
participate. Such a design will allow for
testing of how a variety of hospitals will
fare under an episode payment
approach, leading to a more robust
evaluation of the model’s effect on all
types of hospitals. We believe this is the
most prudent approach for the following
reasons. The information gained from
testing of the CJR model will allow CMS
to more comprehensively assess
whether LEJR episode payment models
are appropriate for any potential
national expansion. We will have
evaluation information on results for
providers who are participating in such
models voluntarily (under BPCI) as well
as for hospitals that are required to
participate in CJR. Under CJR, we will
have tested and evaluated such a model
across a wide range of hospitals
representing varying degrees of
experience with episode payment. We
believe it is important to gain
knowledge from a variety of
perspectives in considering whether and
which models merit national expansion.
Thus, the CJR model meets the criteria
required for initial model tests.
Moreover, the Secretary has the
authority to establish regulations to
carry out the administration of
Medicare. Specifically, the Secretary has
authority under both sections 1102 and
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1871 of the Act to implement
regulations as necessary to administer
Medicare, including testing this
Medicare payment and service delivery
model. We note that while CJR will be
a model, and not a permanent feature of
the Medicare program, the model will
test different methods for delivering and
paying for services covered under the
Medicare program, which the Secretary
has clear legal authority to regulate. The
proposed rule went into great detail
about the provisions of the proposed
CJR model, enabling the public to fully
understand how the proposed model
was designed and could apply to
affected providers. We acknowledge
section 1115A(d)(2) of the Act, which
states that there shall be no
administrative or judicial review of,
among other things, ‘‘the selection of
organizations, sites, or participants to
test . . . models selected,’’ as well as
the commenter’s concern that this
provision would preclude a participant
hospital from appealing its selection as
a participant in the CJR model.
However, it is precisely because the
model will impose new requirements
upon participant hospitals that we
undertook notice and comment
rulemaking to implement it.
In response to the comment indicating
that we misread section 1115A(a)(5) of
the Act, we believe that the commenter
misunderstood the reference to that
provision in the proposed rule. The
reference to section 1115A(a)(5) of the
Act was made in the context of the
discussion of selecting certain MSAs
within which we will test the model.
We do not rely on section 1115A(a)(5)
of the Act specifically as the authority
for a model in which participation is not
voluntary; rather, as noted previously,
we rely on section 1115A of the Act as
a whole, as well as the Secretary’s
existing authority to carry out her duties
and administer the Medicare program.
We disagree with commenters that
implementing the CJR model will
negatively affect beneficiaries’ appeal
rights. We note that normal claims
processes will continue under this
model, including beneficiary and
provider appeal rights. We also refer
readers to section III.C.9. of this final
rule for discussion of hospital appeals
procedures under the CJR model.
With regard to the comment about
CMS sidestepping safeguards designed
to prevent imposing haphazard models
prior to appropriate vetting and testing,
we reiterate that we have undertaken
rulemaking to solicit comprehensive
public input on all aspects of the CJR
model. In addition, as previously noted,
the CJR model has been designed to
limit selection bias, which will allow for
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more robust evaluation results across a
variety of providers.
We note that this is a new model, not
an expansion of an existing model. We
disagree with the commenters who
believe that we have reversed the order
of testing and expansion of Innovation
Center models. As permitted by section
1115A of the Act, we are testing the CJR
model within specified limited
geographic areas. The fact that the
model will require the participation of
certain hospitals does not mean it is not
an initial model test. If the model is
successful such that it meets the
statutory requirements for expansion,
and the Secretary determines that
expansion is warranted, we would
undertake rulemaking to implement the
expansion, as required by section
1115A(c) of the Act.
Comment: Several commenters
questioned how the proposed CJR
model relates to the potential for
expansion of BPCI. Commenters also
noted that CMS included language in
the FY 2016 IPPS/LTCH PPS proposed
rule requesting public input on an
eventual expansion of BPCI.
Response: CMMI’s three major
priorities include testing new payment
and service delivery models, evaluating
results and advancing best practices,
and engaging stakeholders. Since 2011,
we have been working to develop and
test models of bundling Medicare
payments under the authority of section
1115A of the Act. Consistent with its
ongoing commitment to develop new
models and refine existing models based
on additional information and
experience, we may modify existing
models or test additional models under
our authority under section 1115A of
the Act. The CJR model is a new,
additional episode payment model
being tested under the authority of
section 1115A of the Act. As such, it is
not an expansion of the BPCI initiative,
which needs further evaluation to
determine its impact on both Medicare
cost and quality before the Secretary can
determine whether the findings from the
evaluation of the initiative demonstrate
that it meets all criteria for expansion,
consistent with the requirements of
section 1115A(c) of the Act, and that,
based on these findings and other
pertinent factors, expansion is
warranted.
In the FY 2016 IPPS/LTCH PPS
proposed rule (80 FR 24414 through
24418), we solicited public comments
regarding policy and operational issues
related to a potential expansion of the
BPCI initiative in the future. We
explained that as we initiated
discussions about potential expansion,
we continued to value stakeholder
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engagement within the framework of
our three priorities. With respect to
expansion, section1115A(c) of the Act,
as added by section 3021 of the
Affordable Care Act, provides the
Secretary with the authority to expand
through rulemaking the duration and
scope of a model that is being tested
under section 1115A(b) of the Act, such
as the BPCI initiative (including
implementation on a nationwide basis),
if the following findings are made,
taking into account the evaluation of the
model under section 1115A(b)(4) of the
Act: (1) The Secretary determines that
the expansion is expected to either
reduce Medicare spending without
reducing the quality of care or improve
the quality of patient care without
increasing spending; (2) the CMS Chief
Actuary certifies that the expansion
would reduce (or would not result in
any increase in) net Medicare program
spending; and (3) the Secretary
determines that the expansion would
not deny or limit the coverage or
provision of Medicare benefits. The
decision of whether or not to expand
BPCI will be made by the Secretary in
coordination with CMS and the Office
of the Chief Actuary based on whether
findings about the initiative meet the
statutory criteria for expansion under
section 1115A(c) of the Act. We did not
propose an expansion of any of the BPCI
models or any policy changes associated
with those models in the FY 2016 IPPS/
LTCH PPS proposed rule.
Although BPCI and the CJR model
both include testing episode payment
for LEJR episodes of care, CJR differs
from BPCI in significant ways, as
detailed throughout this final rule.
Providers elected to participate in BPCI,
and were given a choice of various
design features, such as the clinical
episodes included and the episode
length. The CJR model was designed in
part based on feedback and experience
from BPCI, and will provide additional
information on the impact of episode
payment for LEJR episodes across a
variety of hospitals, including those
who may not have elected to participate
in the model. As previously discussed
in this section, it is necessary to require
participation in the CJR model in order
to avoid the selection bias inherent to
any voluntary model. When the CJR
model begins on April 1, 2016, we will
be testing both episode payment models
concurrently for a period of time, as
well as many other payment and service
delivery models, in order to gain
information about the most successful
strategies to improve the quality of care
and reduce spending. The different
design features of BPCI and the CJR
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model will aid us in evaluating the
success of episode-based payment
across a range of provider types and in
a range of geographic areas. As
evaluation results addressing the impact
of each model on Medicare quality and
cost become available, the Secretary will
review this information to determine
whether the findings from the
evaluation of the model demonstrate
that it meets all criteria for expansion,
consistent with the requirements of
section 1115A(c) of the Act, and that,
based on these findings and other
pertinent factors, expansion is
warranted.
Comment: Many commenters
requested changes to the BPCI model in
response to the proposed rule.
Commenters also requested clarification
on how BPCI awardees would be
transitioned into the CJR model; for
example, which performance year
policies would apply to the new model
participants.
Response: We will not address
comments about BPCI policies in this
final rule. We will address commenters’
suggestions on BPCI through our usual
processes for informing BPCI
participants and the public of any
changes to BPCI. As discussed in
section III.A of this final rule, all
Inpatient Prospective Payment System
(IPPS) hospitals in the selected MSAs
that are not participating in BPCI Model
1 or Phase II of Models 2 or 4 for LEJR
episodes would be included in the CJR
model. We intend for the current
performance year’s policies to be in
effect for any new entrants in the CJR
model. We also note that an acute care
hospital formerly participating in BPCI
for the LEJR episode will have likely
established care coordination and
redesign strategies for success. As such,
it would not be necessary to grant such
hospitals additional time to transition
from BPCI into the CJR model.
Comment: Numerous commenters
requested that physicians who enter
into sharing arrangements with CJR
hospitals qualify as eligible
professionals under the Medicare
Access and Chip Reauthorization Act of
2015 (MACRA) beginning in 2019. A
commenter requested that all CJR
collaborators qualify as eligible
professionals under MACRA. Several
commenters outlined wholly different
structures for the proposed CJR model,
including provisions that would allow
for the CJR model to qualify as an
alternative payment model (APM) under
MACRA.
Response: We interpret commenters’
requests as follows: That collaborators
under the CJR model would be able to
meet the requirements that would
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73279
otherwise apply under the Merit-based
Incentive Payment System (MIPS) or,
alternatively, qualify as APM
participants under section 1833(z)(2) of
the Act (and therefore be excluded from
MIPS) through their participation in
CJR. We further interpret commenters’
requests as follows: That CJR would
include eligible alternative payment
entities, and therefore that eligible
professionals in CJR would potentially
be qualifying APM participants. We
note that the statute specifies which
types of individuals qualify as eligible
professionals (EPs) under section
1848(k)(3)(B) of the Act or as MIPS EPs
under section 1848(q)(1)(C) of the Act.
We plan to develop regulations under
MACRA through notice and comment
rulemaking. We will be releasing further
guidance on the implementation of
MACRA, and through such guidance,
will be clarifying the parameters for
eligibility under MACRA.
Comment: Several commenters
presented different episode payment
models for CMS’ consideration to be
tested in addition to or instead of the
CJR model, or suggested such major
changes to the proposed CJR model
design elements that the result of their
adoption would be a wholly different
test of episode payment than CMS
proposed. A few commenters
recommended that CMS consider testing
a model that emphasizes the role of PAC
providers in managing episode care for
beneficiaries, instead of just the
hospital. Such a model would assign
financial responsibility during an
episode to a PAC entity with
capabilities to coordinate care across a
wide range of post-acute settings. Other
commenters suggested that CMS test a
model that would create physician-led
organizations to manage financial risk
for LEJR episodes of care, instead of
assigning risk to hospitals. These
organizations would receive prospective
episodic payments and allocate such
payments among the providers and
suppliers furnishing care to
beneficiaries during an LEJR episode.
Several commenters recommended CMS
implement a population-based model
similar to an Accountable Care
Organization (ACO) model, in lieu of an
episode-based payment model. Finally,
a commenter requested that instead of
including rural and low-volume
hospitals in the CJR model, CMS
develop a model tailored to this subset
of providers.
Response: We appreciate the
suggestions for alternatives to the CJR
model design that were recommended
by the commenters, including the
details and rationale provided about
many features of those models. We are
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not adopting these approaches to an
episode payment model under this final
rule as we did not propose the design
elements of such models for public
notice and comment nor did we propose
the additional policies that would be
required to implement such features
that do not rely on existing Medicare
definitions (for example, the definition
of a physician-led organization to
manage risk). However, we note that we
are constantly considering
modifications to existing models and
designing new models under our testing
authority under section 1115A of the
Act, taking into consideration
stakeholder input received through
many channels, including public
comments on this proposed rule and the
FY 2016 IPPS/LTCH PPS proposed rule
discussion item on potential BPCI
expansion considerations, as well as
feedback from providers participating in
existing models. We note that potential
modifications to the CJR model would
go through notice and comment
rulemaking as necessary. As we
consider developing additional payment
service and delivery models, we will
continue to engage with stakeholders
and review all of the information
available to us about alternative
approaches to episode payment that
could be tested.
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B. Summary of the Major Provisions
1. Model Overview: LEJR Episodes of
Care
LEJR procedures are currently paid
under the IPPS (IPPS) through one of
two Medicare Severity-Diagnosis
Related Groups (MS–DRGs): MS–DRG
469 (Major joint replacement or
reattachment of lower extremity with
Major Complications or Comorbidities
(MCC)) or MS–DRG 470 (Major joint
replacement or reattachment of lower
extremity without MCC). Under the CJR
model, as described further in section
III.B of this final rule, episodes will
begin with admission to an acute care
hospital for an LEJR procedure that is
assigned to MS–DRG 469 or 470 upon
beneficiary discharge and paid under
the IPPS and will end 90 days after the
date of discharge from the acute care
hospital. This episode of care definition
offers operational simplicity for
providers and CMS. The episode will
include the LEJR procedure, inpatient
stay, and all related care covered under
Medicare Parts A and B within the 90
days after discharge, including hospital
care, PAC, and physician services.
2. Model Scope
We have finalized that participant
hospitals will be the episode initiators
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and bear financial risk under the CJR
model. In comparison to other health
care facilities, hospitals are more likely
to have resources that will allow them
to appropriately coordinate and manage
care throughout the episode, and
hospital staff members are already
involved in hospital discharge planning
and PAC recommendations for recovery,
key dimensions of high quality and
efficient care for the episode. We require
all hospitals paid under the IPPS in
selected geographic areas to participate
in the CJR model, with limited
exceptions. Eligible beneficiaries who
elect to receive care at these hospitals
will automatically be included in the
model. We have selected geographic
areas based on a stratified random
sampling methodology within strata
using the following criteria: historical
wage adjusted episode payments and
population size. Our geographic area
selection process is detailed further in
section III.A of this final rule.
3. Payment
We will test the CJR model for 5
performance years. We have finalized an
alternative start date for the model from
the timeline set forth in the proposed
rule. As discussed in further detail in
section III.C.2.a. of this final rule, the
first performance year for the CJR model
will begin on April 1, 2016 and end on
December 31, 2016. During these
performance years we will continue
paying hospitals and other providers
and suppliers according to the usual
Medicare FFS payment systems.
However, after the completion of a
performance year, the Medicare claims
payments for services furnished to the
beneficiary during the episode, based on
claims data, will be combined to
calculate an actual episode payment.
The actual episode payment is defined
as the sum of related Medicare claims
payments for items and services
furnished to a beneficiary during a CJR
episode. The actual episode payment
will then be reconciled against an
established CJR target price that is
stratified based on the beneficiary’s
fracture status, with consideration of
additional payment adjustments based
on quality performance, post-episode
spending, and policies to limit hospital
financial responsibility. The amount of
this calculation, if positive, will be paid
to the participant hospital. This
payment will be called a reconciliation
payment. If negative, we will require
repayment from the participant hospital.
Medicare will require repayment of the
difference between the actual episode
payments and the CJR target price from
a participant hospital if the CJR target
price is exceeded.
We will make reconciliation
payments to participant hospitals that
achieve quality outcomes and cost
efficiencies relative to the established
CJR target prices in all performance
years of the model. We will also phase
in the requirement that participant
hospitals whose actual episode
payments exceed the applicable CJR
target price pay the difference back to
Medicare beginning in performance year
2. Under this final rule, Medicare will
not require repayment from hospitals for
performance year 1 for actual episode
payments that exceed their target price
in performance year 1.
We will also limit how much a
hospital can gain or lose based on its
actual episode payments relative to
target prices. We have also put in place
additional policies to further limit the
risk of high payment cases for all
participant hospitals and for special
categories of participant hospitals as
described in section III.C. of this final
rule.
4. Similar, Previous, and Concurrent
Models
The CJR model is informed by other
models and demonstrations currently
and previously conducted by CMS and
will explore additional ways to enhance
coordination of care and improve the
quality of services through bundled
payments. We recently announced the
Oncology Care Model (OCM), a new
voluntary payment model for physician
practices administering chemotherapy.
Under OCM, practices will enter into
payment arrangements that include
financial and performance
accountability for episodes of care
surrounding chemotherapy
administration to cancer patients. We
plan to coordinate with other payers to
align with OCM in order to facilitate
enhanced services and care at
participating practices. More
information on the OCM can be found
on CMMI’s Web site at: https://
innovation.cms.gov/initiatives/
Oncology-Care/. Medicare tested
innovative approaches to paying for
orthopedic services in the Medicare
Acute Care Episode (ACE)
demonstration, a prior demonstration,
and is currently testing additional
approaches under BPCI. Both of these
models have also informed the design of
the CJR model.
Under the authority of section 1866C
of the Act, we conducted a 3-year
demonstration, the ACE Demonstration.
The demonstration used a prospective
global payment for a single episode of
care as an alternative approach to
payment for service delivery under
traditional Medicare FFS. The episode
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of care was defined as a combination of
Part A and Part B services furnished to
Medicare FFS beneficiaries during an
inpatient hospital stay for any one of a
specified set of cardiac and orthopedic
MS–DRGs. The MS–DRGs tested
included 469 and 470, which are
included in the CJR model. The
discounted bundled payments generated
an average gross savings to Medicare of
$585 per episode for a total of $7.3
million across all episodes (12,501
episodes) or 3.1 percent of the total
expected costs for these episodes. After
accounting for increased PAC costs that
were observed at two sites, Medicare
saved approximately $4 million, or 1.72
percent of the total expected Medicare
spending. More information on the ACE
Demonstration can be found on CMMI’s
Web site at: https://innovation.cms.gov/
initiatives/ACE/.
We are currently testing the BPCI
initiative. The BPCI initiative is
comprised of four related payment
models, which link payments for
multiple services that Medicare
beneficiaries receive during an episode
of care into a bundled payment. Under
the initiative, entities enter into
payment arrangements with CMS that
include financial and performance
accountability for episodes of care.
Episodes of care under the BPCI
initiative begin with either—(1) An
inpatient hospital stay; or (2) PAC
services following a qualifying inpatient
hospital stay. The BPCI initiative is
evaluating the effects of episode-based
payment approaches on patient
experience of care, outcomes, and cost
of care for Medicare FFS beneficiaries.
Each of the four models tests LEJR
episodes of care. While final evaluation
results for the models within the BPCI
initiative are not yet available, we
believe that CMS’ experiences with
BPCI support the design of the CJR
model. Under section 1115A(c) of the
Act, the Secretary may, taking into
consideration an evaluation conducted
under section 1115A (b)(4) of the Act,
‘‘through rulemaking, expand (including
implementation on a nationwide basis)
the duration and the scope of a model
that is being tested under’’ CMMI’s
authority. CJR is not an expansion of
BPCI, and BPCI may be expanded in the
future. We published a discussion item
soliciting public comment on a potential
future expansion of one or more of the
models within BPCI in the FY2016 IPPS
rule, 80 FR 24414 through 24418. CJR
will not be an expansion or
modification of BPCI; nor does it reflect
comments received in response to the
proposed rule for the 2016 IPPS Rule.
CJR is a unique model that tests a
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broader, different group of hospitals
than BPCI. It is necessary to provide
CMS with information about testing
bundled payments to hospitals that are
required to participate in an APM. For
a discussion of why we are requiring
hospitals to participate in the CJR
model, see section III.A. of this final
rule.
The CJR model’s design was informed
to a large degree by our experience with
BPCI Model 2. BPCI’s Model 2 is a
voluntary episode payment model in
which a qualifying acute care
hospitalization initiates a 30, 60 or 90
day episode of care. The episode of care
includes the inpatient stay in an acute
care hospital and all related services
covered under Medicare Parts A and B
during the episode, including PAC
services. More information on BPCI
Model 2 can be found on CMMI’s Web
site at: https://innovation.cms.gov/
initiatives/BPCI-Model-2/.
Further information of why elements
of the OCM, the ACE Demonstration,
and BPCI Model 2 were incorporated
into the design of the CJR model appears
later in this final rule.
5. Overlap With Ongoing CMS Efforts
We are excluding from participation
in CJR certain hospitals participating in
the risk-bearing phase of BPCI Models 2
and 4 for LEJR episodes, as well as acute
care hospitals participating in BPCI
Model 1. We are not excluding
beneficiaries in CJR model episodes
from being included in other Innovation
Center models or CMS programs, such
as the Medicare Shared Savings Program
(Shared Savings Program), as detailed
later in this final rule. We will account
for overlap, that is, where CJR
beneficiaries are also included in other
models and programs, to ensure the
financial policies of CJR are maintained
and results and spending reductions are
attributed to the correct model or
program.
6. Quality Measures and Reporting
Requirements
We are adopting two hospital-level
quality of care measures for the CJR
model. Those measures include a
complications measure and a patient
experience survey measure. We will use
these measures in the model pay-forperformance payment methodology, as
well as to test the success of the model
in achieving its goals under section
1115A of the Act and to monitor for
beneficiary safety. We intend to publicly
report this information on the Hospital
Compare Web site. Additionally, we
will encourage the voluntary
submission of data to support the
development of a hospital-level measure
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73281
of patient-reported outcomes following
an elective primary total hip (THA) or
total knee arthroplasty (TKA) through
incorporation of the measure in the
composite quality scoring methodology
described in III.C.5. of this final rule.
7. Data Sharing Process
We will share data with participant
hospitals upon request throughout the
performance period of the CJR model to
the extent permitted by the HIPAA
Privacy Rule and other applicable law.
We will share upon request both raw
claims-level data and claims summary
data with participants. This approach
will allow participant hospitals without
prior experience analyzing claims to use
summary data to receive useful
information, while allowing those
participant hospitals who prefer raw
claims-level data the opportunity to
analyze claims. We will provide
hospitals with up to 3 years of
retrospective claims data upon request
that will be used to develop their target
price, as described in section III.C. of
this final rule. In accordance with the
HIPAA Privacy Rule, we will limit the
content of this data set to the minimum
data necessary for the participant
hospital to conduct quality assessment
and improvement activities and
effectively coordinate care of its patient
population.
8. Beneficiary Protections
Under the CJR model, beneficiaries
retain the right to obtain health services
from any individual or organization
qualified to participate in the Medicare
program. Under the CJR model, eligible
beneficiaries who receive services from
a participant hospital will not have the
option to opt out of inclusion in the
model. We require participant hospitals
to supply beneficiaries with written
information regarding the design and
implications of this model as well as
their rights under Medicare, including
their right to use their provider of
choice. We will also make a robust effort
to reach out to beneficiaries and their
advocates to help them understand the
CJR model.
We also will use our existing
authority, if necessary, to audit
participant hospitals if claims analysis
indicates an inappropriate change in
delivered services. Beneficiary
protections are discussed in greater
depth in section III.E. of this final rule.
9. Financial Arrangements and Program
Policy Waivers
We will hold participant hospitals
financially responsible for CJR LEJR
episodes as participants in the model as
discussed in section III.C.6. of this final
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rule. Specifically, only these hospital
participants will be directly subject to
the requirements of this final rule for
the CJR model. Participant hospitals
will be responsible for ensuring that
other providers and suppliers
collaborating with the hospital on LEJR
episode care redesign are in compliance
with the terms and conditions of the
model, including any applicable
program policy waivers.
Several of the Medicare program
policy waivers outline the conditions
under which SNFs and physicians
could furnish and bill for certain
services furnished to CJR beneficiaries
where current Medicare programs rules
will not permit such billing. We draw
the attention of SNFs and physicians to
these waivers, which are included in
section III.C.11.b.(5). of this final rule.
C. Summary of Economic Effects
As shown in our impact analysis, we
expect the CJR model to result in
savings to Medicare of $343 million
over the 5 performance years of the
model. We note that a composite quality
score will be calculated for each
hospital in order to determine eligibility
for a reconciliation payment and
whether the hospital qualifies for
quality incentive payments that will
reduce the effective discount percentage
experience by the hospital at
reconciliation for a given performance
year.
More specifically, in performance
year 1 of the model, we estimate a
Medicare cost of approximately $11
million, as hospitals will not be subject
to downside risk in the first year of the
model. As we introduce downside risk
beginning in performance year 2 of the
model, we estimate Medicare savings of
approximately $36 million. In
performance year 3 of the model, we
estimate Medicare savings of $71
million. In performance years 4 and 5 of
the model, we will move from target
episode pricing that is based on a
hospital’s experience to target pricing
based on regional experience, we
estimate Medicare savings of $120
million and $127 million, respectively.
As a result, we estimate the net
savings to Medicare to be $343 million
over the 5 performance years of the
model. We anticipate there will be a
broader focus on care coordination and
quality improvement for LEJR episodes
among hospitals and other providers
and suppliers within the Medicare
program that will lead to both increased
efficiency in the provision of care and
improved quality of the care provided to
beneficiaries.
We note that under section
1115A(b)(3)(B) of the Act, the Secretary
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is required to terminate or modify a
model unless certain findings can be
made with respect to savings and
quality after the model has begun. If
during the course of testing the model
it is determined that termination or
modification is necessary, such actions
will be undertaken through rulemaking
as necessary.
II. Background
A General Background
This final rule finalizes the
implementation of a new innovative
health care payment model under the
authority of section 1115A of the Act.
Under the model, called the CJR model,
acute care hospitals in certain selected
geographic areas will receive bundled
payments for episodes of care where the
diagnosis at discharge includes a lower
extremity joint replacement (LEJR) or
reattachment of a lower extremity that
was furnished by the hospital. The
bundled payment will be paid
retrospectively through a reconciliation
process; hospitals and other providers
and suppliers will continue to submit
claims and receive payment via the
usual Medicare FFS payment systems.
All related care covered under Medicare
Part A and Part B within 90 days after
the date of hospital discharge from the
joint replacement procedure will be
included in the episode of care. We
believe this model will further our goals
of improving the efficiency and quality
of care for Medicare beneficiaries for
these common medical procedures.
B. Acronym of This Model
We have changed the acronym of this
model to ‘‘CJR’’ and have updated all
references in this rule and the
regulations to reflect this change.
C. Public Comments Received in
Response to the CJR Proposed Rule
We received approximately 400
timely pieces of correspondence
containing multiple comments on the
CJR proposed rule. We note that some
of these public comments were outside
of the scope of the proposed rule. These
out-of-scope public comments are
mentioned but not addressed with the
policy responses in this final rule.
Summaries of the public comments that
are within the scope of the proposed
rule and our responses to those public
comments are set forth in the various
sections of this final rule under the
appropriate heading.
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III. Provisions of the Proposed
Regulations and Analysis of and
Responses to Public Comments
A. Definition of the Episode Initiator
and Selected Geographic Areas
1. Background
The CJR model is different from BPCI
because it would require participation
of all hospitals (with limited exceptions)
throughout selected geographic areas,
which would result in a model that
includes varying hospital types.
However, a discussion of BPCI is
relevant because its design informs and
supports the proposed CJR model. The
BPCI model is voluntary, and under that
model we pay a bundled payment for an
episode of care only to entities that have
elected to participate in the model. We
are interested in testing and evaluating
the impact of an episode payment
approach for LEJRs in a variety of other
circumstances, including among those
hospitals that have not chosen to
voluntarily participate because we have
not tested bundled payments for these
hospitals previously. This would allow
CMS and participants to gain experience
testing and evaluating episode-based
payment for LEJR procedures furnished
by hospitals with a variety of historic
utilization patterns; roles within their
local markets; volume of services
provided; access to financial,
community, or other resources; and
population and health care provider
density. Most importantly, participation
of hospitals in selected geographic areas
will allow CMS to test bundled
payments without introducing selection
bias such as the selection bias inherent
in the BPCI model due to self-selected
participation.
2. Definition of Episode Initiator
Under the CJR model, as described
further in section III.B. of this final rule,
episodes will begin with admission to
an acute care hospital for an LEJR
procedure that is paid under the IPPS
through Medical Severity DiagnosisRelated Group (MS–DRG) 469 (Major
joint replacement or reattachment of
lower extremity with MCC) or 470
(Major joint replacement or
reattachment of lower extremity without
MCC) and end 90 days after the date of
discharge from the hospital. For the CJR
model, we proposed that hospitals
would be the only episode initiators.
For purposes of CJR, the term ‘‘hospital’’
means a hospital as defined in section
1886(d)(1)(B) of the Act. This statutory
definition of hospital includes only
acute care hospitals paid under the
IPPS. We proposed that all acute care
hospitals in Maryland would be
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excluded from CJR. The state of
Maryland entered into an agreement
with CMS, effective January 1, 2014, to
participate in CMS’ new Maryland AllPayer Model. In order to implement the
Maryland All-Payer Model, CMS waived
certain requirements of the Act, and the
corresponding implementing
regulations, as set forth in the agreement
between CMS and Maryland.
Specifically, under the Maryland AllPayer Model, Maryland acute care
hospitals are not paid under the IPPS or
Outpatient Prospective Payment System
(OPPS) but rather are paid under rates
set by the state. Following the model’s
performance period, Maryland will
transition to a new model that
incorporates the full spectrum of care,
not just hospital services. As such, with
respect to Maryland hospitals, CMS
intends to test and develop new
payment and delivery approaches that
can incorporate non-hospital services in
a manner that accounts for Maryland’s
unique hospital rate setting system and
permit Maryland to develop its own
strategy to incentivize higher quality
and more efficient care across clinical
situations within and beyond hospitals,
including but not limited to LEJR
episodes of care. We proposed that
because Maryland hospitals are not paid
under the IPPS or OPPS, payments to
Maryland hospitals will be excluded in
the regional pricing calculations as
described in section III.C.4. of this final
rule. We sought comment on whether
there were potential approaches for
including Maryland acute care hospitals
in CJR. In addition, we sought comment
on whether Maryland hospitals should
be included in CJR in the future upon
any termination of the Maryland AllPayer Model.
The following is a summary of the
comments received and our responses.
Comment: Several commenters
commented on the proposed exclusion
of Maryland hospitals in the All-Payer
model from the model. A commenter
requested that if we are considering
approaches for including Maryland
acute care hospitals in the CJR model
that we ensure that the inclusion of
such hospitals would not jeopardize the
current all-payer system in Maryland. If
such an approach were to be developed,
the commenter noted that it would
welcome the opportunity to participate
in the CJR model and further stated that
it is confident that it would be
successful under the CJR model in
helping to further to goals of providing
high quality care at lower costs to better
patient outcomes and population health.
Another commenter noted that
Maryland’s All-Payer Model Agreement
is focused on holding hospitals
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accountable for improving care,
improving health, and reducing the total
cost of hospital care for all payers.
Under the All-Payer model, Maryland
has shifted its long-standing hospital
rate-setting system from a volume-based
system, focused on cost per case, to a
global population-based system that
incorporates performance requirements
for quality and outcomes. The Maryland
system will be held accountable for the
total cost of care for Medicare patients
under its contract with CMS and thus
already has two-sided risk for hospital
costs. The commenter stated that
Maryland wants to work with CMS to
develop a unique approach to achieving
the goals of the model, but under the
All-Payer model. Lastly, another
commenter expressed confusion if we
were announcing a plan to have
Maryland transition to a new model that
incorporates the full spectrum of care,
not just hospital services.
Response: Under the All-Payer model,
Maryland has facilitated the movement
of regulated hospital revenue into
population-based payment
reimbursement under a hospital global
budget model. We appreciate the state’s
efforts to move away from volume-based
payments and to focus on reducing total
cost of care and improving quality of
care, and we have seen improvement on
these areas in the first year of the AllPayer model. However, we remain
concerned that certain aspects of the
All-Payer Model make it challenging for
Maryland to be included in other
payment and delivery innovations being
launched by the CMS Innovation
Center. As we anticipate testing more
models across the country, we do not
want Maryland to fall behind in
payment and delivery innovation. We
are very interested in Maryland’s
strategy to be accountable for total cost
of care beyond hospital services, which
we intend to implement under the AllPayer model in 2019. We note that we
are not announcing a new model for
Maryland in this rule, but rather the
CMS Innovation Center looks forward to
working with Maryland on its total cost
of care model.
Comment: Several commenters agreed
with CMS that Maryland hospitals
should not be included in our definition
of ‘‘hospital’’ and, instead, the state of
Maryland should be allowed to develop
its own strategy to encourage higher
quality care and efficiencies across
clinical settings.
Response: We agree that for the
purposes of the CJR model, the term
‘‘hospital’’ should only encompass
hospitals currently paid under the IPPS
and we are finalizing as proposed to
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exclude Maryland hospitals from the
CJR model.
Final Decision: After consideration of
the public comments we received, we
are finalizing, for purposes of the CJR
model, the term ‘‘hospital’’ to mean a
hospital subject to the IPPS as defined
in section 1886(d)(1)(B) of the Act. This
statutory definition of hospital includes
only acute care hospitals paid under the
IPPS, thus excluding Maryland
hospitals from participating in CJR and
excluding payments to Maryland
hospitals in regional pricing
calculations described in section III.C.4
of this final rule. This definition will be
codified in § 510.2
We proposed to designate IPPS
hospitals as the episode initiators to
ensure that all Medicare FFS LEJR
services furnished by participant
hospitals in selected geographic areas to
beneficiaries who do not meet the
exclusion criteria (specified in section
III.B.3. and section III.C.7. of this final
rule) are included in the CJR model.
Given that our proposal that the LEJR
episode begins with an admission to a
hospital paid under the IPPS that results
in a discharge assigned to MS–DRG 469
or 470, we further believed that utilizing
the hospital as the episode initiator is a
straightforward approach for this model
because the hospital furnishes the LEJR
procedure. In addition, we noted our
interest in testing a broad model in a
number of hospitals under the CJR
model in order to examine results from
a more generalized payment model.
Thus, we believed it is important that,
in a model where hospital participation
is not voluntary, all Medicare FFS LEJR
episodes that begin at the participant
hospital in a selected geographic area
should be included in the model for
beneficiaries that do not meet the
exclusion criteria specified in section
III.B.3. of this final rule and are not LEJR
BPCI episodes that we are excluding as
outlined in this section and also in
section III.C.7 of this final rule. This is
best achieved if the hospital is the
episode initiator. Finally, as described
in the following sections that present
our proposed approach to geographic
area selection, this geographic area
selection approach relies upon our
definition of hospitals as the entities
that initiate episodes. We sought
comment on our proposal to define the
episode initiator as the hospital under
CJR. However, commenters generally
commented on our proposal to define
the episode initiator as the hospital in
tandem with comments regarding the
proposal that the hospital also be the
entity financially responsible for the
episode of care under CJR. As such,
comments regarding the proposed
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episode initiator and the entity
financially responsible for the episode
of care are summarized in section
III.A.2. of this final rule.
3. Financial Responsibility for the
Episode of Care
BPCI Model 2 participants that have
entered into agreements with CMS to
bear financial responsibility for an
episode of care include acute care
hospitals paid under the IPPS, health
systems, physician-hospital
organizations, physician group practices
(PGPs), and non-provider business
entities that act as conveners by
coordinating multiple health care
providers’ participation in the model.
Thus, our evaluation of BPCI Model 2
will yield information about how results
for LEJR episodes may differ based on
differences in which party bears
financial responsibility for the episode
of care. For the CJR model, we proposed
to make hospitals financially
responsible for the episode of care.
Although we proposed that hospitals
would bear the financial responsibility
for LEJR episodes of care under CJR,
because there are LEJR episodes
currently being tested in BPCI Model 1,
2, 3 or 4, we believed that participation
in CJR should not be required if it
would disrupt testing of LEJR episodes
already underway in BPCI models.
Therefore, we proposed certain
exceptions for instances where IPPS
hospitals located in an area selected for
the model are active participant
hospitals or episode initiators for LEJR
episodes as of July 1, 2015, and
exceptions for LEJR episodes initiated
by other providers or suppliers under
certain BPCI models.
The following is a summary of the
comments received and our responses.
Comment: Most commenters
expressed overall support for the CJR
model, with some commenters noting
that the CJR model could help to
transform care delivery through
improved care coordination and
financial accountability. Several
commenters further expressed support
for our proposal to designate hospitals
as the episode initiators and the entity
financially responsible for the episode
of care under the CJR model. These
commenters agreed that hospitals
should bear the responsibility of
implementing the CJR model and
further agreed with being able to share
this responsibility with ‘‘collaborators’’
through gainsharing agreements. The
commenters noted that the themes
surrounding responsibility and cost in
conjunction with quality as presented in
the proposed rule were encouraging and
show a continued focus on bettering
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outcomes and patient engagement while
lowering costs.
Response: We thank the commenters
for their support. As noted in the
proposed rule, the intent of the CJR
model is to promote quality and
financial accountability for episodes of
care surrounding a lower-extremity joint
replacement (LEJR) or reattachment of a
lower extremity procedure. We
anticipate the CJR model would benefit
Medicare beneficiaries by improving the
coordination and transition of care,
improving the coordination of items and
services paid for through Medicare FFS,
encouraging more provider investment
in infrastructure and redesigned care
processes for higher quality and more
efficient service delivery, and
incentivizing higher value care across
the inpatient and PAC spectrum
spanning the episode of care (80 FR
41198).
Comment: Several commenters
disagreed with the proposal for the CJR
model to limit financial responsibility
for the episode of care to only hospitals.
Commenters advocated for PGPs or
orthopedic surgeons to be financially
responsible, while other commenters
advocated for PAC entities to be
financially responsibility for the episode
of care. Commenters listed a variety of
reasons why orthopedic physician
groups and/or PAC providers should be
financially responsible for the episode
of care. Some commenters stated that
the episode initiator for the CJR model
should be a physician, as key clinical
decisions about care within the episode
are made by physicians, including
determining what kind of follow-up care
is needed. A few commenters stated that
the episode initiator should be the PAC
provider, similar to BPCI Model 3, since
much of the reduction in CJR episode
costs could occur through changes in
PAC utilization. A few commenters
stated that CMS should distribute
program risk across all providers within
the episode of care and not delegate that
function to the hospital because during
a CJR episode, ideal care and successful
care coordination involve multiple
providers across the care continuum
and is especially dependent on PAC
providers. Finally, several commenters
stated that with gainsharing there is
greater opportunity for the physician to
participate in patient care redesign, but
that unless the physician is also
financially responsible, physician
involvement in the full care redesign
would be less than ideal.
Response: As noted in the proposed
rule (80 FR 41204 through 41205),
because the CJR model is testing a more
generalizable model by including
providers that might not participate in
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a voluntary model, we believe it is most
appropriate to identify a single type of
provider to bear financial responsibility
for making repayment to CMS under the
CJR model as one entity needs to be
ultimately responsible for ensuring that
care for CJR model beneficiaries is
appropriately furnished and
coordinated in order to avoid
fragmented approaches that are often
less effective and more costly. Hospitals
play a central role in coordinating
episode-related care and ensuring
smooth transitions for beneficiaries
undergoing LEJR procedures. Most
hospitals already have some
infrastructure in place related to patient
and family education and health
information technology as hospitals
receive incentive payments for the
adoption and meaningful use of
interoperable health information
technology (HIT) and qualified
electronic health records (EHRs). In
addition, hospitals are required by the
hospital Conditions of Participation
(CoPs) to have in effect a discharge
planning process that applies to all
patients (§ 482.43). As part of the
discharge planning process, hospitals
are required to arrange for the initial
implementation of the discharge plan
(§ 482.43(c)(3)), which includes
coordinating with PAC providers, a
function usually performed by hospital
discharge planners or case managers.
Thus hospitals can build upon already
established infrastructure, practices, and
procedures to achieve efficiencies under
this episode payment model. Many
hospitals also have recently heightened
their focus on aligning their efforts with
those of community providers to
provide an improved continuum of care
due to the incentives under other CMS
models and programs, including ACO
initiatives such as the Medicare Shared
Savings Program, and the Hospital
Readmissions Reduction Program
(HRRP), establishing a base for
augmenting these efforts under the CJR
model. Hospitals are also more likely
than other providers and suppliers to
have an adequate number of episode
cases to justify an investment in episode
management for this model, have access
to resources that would allow them to
appropriately manage and coordinate
care throughout the LEJR episode, and
hospital staff is already involved in
discharge planning and placement
recommendations for Medicare
beneficiaries, and more efficient PAC
service delivery provides substantial
opportunities for improving quality and
reducing costs under CJR.
We considered requiring treating
physicians (orthopedic surgeons or
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others) or their associated PGPs, if
applicable, to be financially responsible
for the episode of care under the CJR
Model. However, the services of
providers and suppliers other than the
hospital where the acute care
hospitalization for the LEJR procedure
occurs would not necessarily be
furnished in every LEJR episode. For
example, that physicians of different
specialties play varying roles in
managing patients during an acute care
hospitalization for a surgical procedure
and during the recovery period,
depending on the hospital and
community practice patterns and the
clinical condition of the beneficiary and
could not be assumed to be included in
every LEJR episode. This variability
would make requiring a particular
physician or PGP to be financially
responsible for a given episode very
challenging. If we were to assign
financial responsibility to the operating
physician, it is likely that there would
be significant variation in the number of
relevant episodes that could be assigned
to an individual person. Where the
physician was included in a PGP,
episodes could be aggregated to this
group level but this would not be
possible for all cases and would likely
still have multiple instances with
physicians with a very low volume of
cases. We acknowledge that providers
and suppliers with low volumes of cases
may not find it in their financial
interests to make systematic care
redesigns or engage in an active way
with the CJR model. We expect that low
volume hospitals may achieve less
savings compared to their target episode
payments for the simple reason that
they would not find the financial
incentive present in the CJR sufficiently
strong to cause them to shift their
practice patterns. While this concern is
present in low volume hospitals, it is
much more likely to occur if physicians
are financially responsible for episode
costs because physicians typically do
not have the case volume to justify an
investment in the infrastructure needed
to adequately provide the care
coordination services required under
the CJR model (such as dedicated
support staff for case management),
which leads us to believe that as a
result, the model would be less likely to
succeed.
Although the BPCI initiative allows a
PGP and PAC providers to have
financial responsibility for episodes of
care, the physician groups and PAC
providers electing to participate in BPCI
have done so because their business
structure supports care redesign and
other infrastructure necessary to bear
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financial responsibility for episodes and
is not necessarily representative of the
typical group practice or PAC provider.
Most of the PGPs in BPCI are not
bearing financial responsibility, but are
participating in BPCI as partners with
convener organizations, which enter
into agreements with CMS on behalf of
health care providers, through which
they accept financial responsibility for
the episode of care. The PAC providers
in BPCI are not at risk for episodes that
include more than just the post-anchor
hospital discharge period. The incentive
to invest in the infrastructure necessary
to accept financial responsibility for the
entire CJR episode of care, starting at
admission to an acute care hospital for
an LEJR procedure that is paid under
the IPPS MS–DRG 469 or 470 and
ending 90 days after the date of
discharge from the hospital, would not
be present across all PGPs and PAC
providers. Thus we do not believe it
would be appropriate to designate PGPs
or PAC providers to bear the financial
responsibility for making repayments to
CMS under the CJR model where
participation is mandatory, rather than
voluntary in nature, potentially causing
this model to be less likely to succeed.
We may consider, through future
rulemaking, other episode of care
models in which PGPs or PAC providers
are financially responsible for the costs
of care.
Comment: Several commenters
suggested that conveners—non-provider
business entities that coordinate
multiple health care providers’
participation in the model—should also
be allowed to bear financial
responsibility for episodes of care under
the proposed CJR model. A commenter
suggested that instead of making
hospitals responsible for managing
payments and costs, a management
organization should be designated or
created to manage the costs and
payments.
Response: In the BPCI initiative,
participants have entered into a variety
of relationships with entities above the
hospital level. Some of these
relationships are ones where the
financial responsibility is borne by an
entity other than the hospital, such as a
parent organization (known as awardee
conveners). Other relationships between
hospitals and other organizations
(known as facilitator conveners) are
more managerial or consultative where
financial responsibility remains with
the episode initiator (for example, the
hospital). We acknowledge the
important role that conveners play in
the BPCI initiative with regard to
providing infrastructure support to
hospitals and other entities initiating
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episodes in BPCI. The convener
relationship (where another entity
assumes financial responsibility) may
take numerous forms, including
contractual (such as a separate for-profit
company that agrees to take on a
hospital’s financial risk in the hopes of
achieving financial gain through better
management of the episodes) and
through ownership (such as when
financial responsibility is borne at a
corporate level within a hospital chain).
However, we proposed that for the CJR
model we would hold only the
participant hospitals financially
responsible for the episode of care. This
is consistent with the goal of evaluating
the impact of bundled payment and care
redesign across a broad spectrum of
hospitals with varying levels of
infrastructure and experience in
entering into risk-based reimbursement
arrangements. If conveners were
included as participants in CJR, we may
not gain the knowledge of how a variety
of hospitals can succeed in relationship
with CMS in which they bear financial
risk for the episode of care.
While we proposed that the
participant hospital be financially
responsible for the episode of care
under CJR, we agreed that effective care
redesign for LEJR episodes requires
meaningful collaboration among acute
care hospitals, PAC providers,
physicians, and other providers and
suppliers within communities to
achieve the highest value care for
Medicare beneficiaries. We believe it
may be essential for key providers and
suppliers to be aligned and engaged,
financially and otherwise, with the
hospitals, with the potential to share
financial responsibility with those
hospitals. As such, CJR participant
hospitals may enter into relationships
with other entities in order to manage
the episode of care or distribute risk. We
refer readers to section III.C.10 of this
final rule for further discussion of
financial arrangements between
participant hospitals and other
providers and suppliers. Depending on
a hospital’s current degree of clinical
integration, new and different
contractual relationships among
hospitals and other health care
providers and suppliers may be
important, although not necessarily
required, for CJR model success in a
community. We acknowledge that
financial incentives for other providers
and suppliers may be important aspects
of the model in order for hospitals to
partner with these providers and
suppliers and incentivize certain
strategies to improve episode efficiency.
As noted in the proposed rule (80 FR
41261), in addition to providers and
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suppliers with which the participant
hospital may want to enter into
financial arrangements to share risks
and rewards, we expect that participant
hospitals may choose to engage with
organizations that are neither providers
nor suppliers to assist with matters such
as: Episode data analysis; local provider
and supplier engagement; care redesign
planning and implementation;
beneficiary outreach; CJR beneficiary
care coordination and management;
monitoring participant hospital
compliance with the terms and
conditions of the CJR model; or other
model-related activities. These
organizations may play important roles
in a hospital’s plans to implement the
CJR model based on the experience
these organizations may bring to the
hospital’s successful participation in the
model, such as prior experience with
bundled payment initiatives, care
coordination expertise, familiarity with
the local community, and knowledge of
Medicare claims data. All relationships
established between participant
hospitals and these organizations for
purposes of the CJR model would only
be those permitted under existing law
and regulation, meaning that
gainsharing agreements between
hospitals and organizations that are
neither providers nor suppliers are not
permitted. Hospital relationships with
organizations other than providers and
suppliers would be based solely on the
ability of such organizations to directly
support the participant hospitals’ CJR
model implementation.
Comment: Numerous commenters
urged CMS to implement the CJR model
on a voluntary basis, rather than
requiring hospitals to participate.
Commenters observed that the CJR
model was unprecedented, unjustified,
and risky for beneficiaries, because it
was the first time CMS would require
participation of providers who may not
have the interest, experience, capability,
or infrastructure to carry out what is
necessary for an experiment whose
outcomes are unknown. Other
commenters claimed that some of the
hospitals in the selected MSAs would
not be prepared for model participation
due to a lack of resources to better
coordinate care, insufficient
infrastructure, low patient volumes, and
lack of negotiating power in their
communities, among other reasons. A
few commenters disagreed with
designating hospitals as financially
responsible for the episode of care
under CJR if the hospital cannot
withdraw its participation if it cannot
thrive under the model. The
commenters stated that absent
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readmissions, hospitals have limited
influence over other, non-surgical costs
associated with joint replacements, such
as PAC, rehabilitation, home care,
doctors’ visits, and more. Conversely, a
commenter wrote that there may be
some hospitals not in the selected MSAs
that would like to participate in CJR and
would be precluded from doing so
unless CMS opens the model to other
hospitals who volunteered to
participate. Several commenters
requested that CMS continue to test
voluntary payment models so that
providers can continue to tailor bundled
payment reforms to their particular
patient populations, practice settings,
markets, infrastructure, and
administrative resources. A commenter
stated that requiring participation in the
CJR model may preclude testing of
alternative, potentially more effective,
approaches. Another commenter
contended that requiring participation
in this model for providers who may
also be participating in a voluntary
payment model could create confusion
and competing incentives. Commenters
further questioned the appropriateness
of requiring participation in CJR, given
that hospitals may not have contractual
agreements with other providers and
suppliers furnishing services during an
episode. Finally, several commenters
contended that the CJR model could
result in beneficiary harm; a commenter
stated that because participation in the
CJR model is required, CMS should be
held responsible for any harm to
beneficiaries as a result of the model.
Response: We appreciate the views of
the commenters on our proposal for
required participation in the CJR model
test of LEJR episode payment. We
recognize that the CJR model represents
the first time the Innovation Center will
require hospital participation in a
payment model being tested under
section 1115A of the Act, and we have
engaged in rulemaking to ensure robust
opportunity for public notice and
comment on the model and its design.
This model will allow CMS to gain
experience with making bundled
payments to hospitals who have a
variety of historic utilization patterns;
different roles within their local
markets; various volumes of services;
different levels of access to financial,
community, or other resources; and
various levels of population and health
provider density including local
variations in the availability and use of
different categories of PAC providers.
We believe that by requiring the
participation of a large number of
hospitals with diverse characteristics,
the CJR model will result in a robust
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data set for evaluation of this bundled
payment approach, and will stimulate
the rapid development of new evidencebased knowledge. Testing the model in
this manner will also allow us to learn
more about patterns of inefficient
utilization of health care services and
how to incentivize the improvement of
quality for common LEJR procedure
episodes. Finally, requiring
participation removes selection bias and
gives CMS a better, more accurate
picture of the effects of the model for
consideration of any potential
expansion on a national scale.
We have multiple years of experience
with several types of large voluntary
episode payment models where we have
successfully collaborated with
participants on implementation of
episode payment in a variety of settings
for multiple clinical conditions. We
believe the relatively narrow scope of
the model (LEJR episodes only), the
phasing in of full financial
responsibility over multiple years of the
model, and our plan to engage with
hospitals to help them succeed under
this model through the provision of
claims data, will aid hospitals in
succeeding under the CJR model. As
discussed in section III.C.2. of this final
rule, we are also finalizing that the
model’s first performance period will
begin April 1, 2016, instead of on
January 1, 2016 as originally proposed.
The longer notice of the final model
policies before implementation will
provide hospitals with more time to
prepare for participation by identifying
care redesign opportunities, beginning
to form financial and clinical
partnerships with other providers and
suppliers, and using data to assess
financial opportunities under the
model.
We acknowledge commenters’
concern that some hospitals not in a
selected MSA may desire to participate
in the CJR model. We also note that
CMS will continue to test voluntary
bundled payment models, including
those already undergoing testing
through the BPCI initiative, which
offered several open periods over the
past few years where interested
hospitals and other organizations could
join. We expect that many providers
will continue to engage in initiatives
such as BPCI, and may also participate
in other emerging models in the coming
years. The coexistence of voluntary
initiatives such as BPCI alongside new
models in which providers are required
to participate will provide CMS,
providers, and beneficiaries with
multiple opportunities to benefit from
various care redesign and payment
reform initiatives. We will also continue
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to explore alternative approaches that
may also prove effective in improving
care for beneficiaries while reducing
spending.
We disagree that requiring
participation in the CJR model could
create confusion and competing
incentives for hospitals already
participating in voluntary initiatives.
We note that simultaneous testing of
multiple bundled payment models is
appropriate in many situations,
depending on the care targeted under
each model. Section III.C.7. of this final
rule lays out our policies for accounting
for overlap between models and
contains discussion of the potential
synergies and improved care
coordination we expect will ensue
through allowing for hospitals and
beneficiaries to be engaged in more than
one initiative simultaneously.
We appreciate that not all hospitals
will have contractual arrangements with
providers and suppliers furnishing
services to beneficiaries during LEJR
episodes. However, this final rule lays
out the various financial arrangements
that will be permitted under the CJR
model, to allow hospitals the
opportunity to engage with other
providers and suppliers and to form
clinical and financial partnerships.
Section III.C.10. of this final rule details
the requirements for these financial
arrangements. Although hospitals will
not be required to form financial
relationships with other providers and
suppliers, we expect many will do so in
order to help align the clinical and
financial incentives of key providers
and suppliers caring for CJR model
beneficiaries.
Finally, we do not see how
participation in the CJR model, in and
of itself, would lead to beneficiary harm
and that if beneficiary harm were to
occur, that CMS would be responsible.
First, and most importantly, we note
that under the model, providers and
suppliers are still required to provide all
medically necessary services, and
beneficiaries are entitled to all benefits
that they would receive in the absence
of the model. Second, we note that we
have employed many payment systems,
such as IPPS, and payment models,
such as BPCI and ACOs, that include
similar economic incentives to promote
efficiency, and we have not determined
that beneficiaries have been harmed by
those systems and models. Third, we
note that CMS has numerous tools and
monitoring plans which are both
specific to this model and common to
all FFS Medicare. These include audits,
monitoring of utilization and outcomes
within the model, and the availability of
Quality Improvement Organization
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(QIOs) and 1–800–MEDICARE for
reporting beneficiary concerns, among
other protections. The CJR model
includes monitoring to ensure
beneficiary access, choice, and quality
of care is maintained under the model.
We refer readers to section III.F. of this
final rule for discussion of beneficiary
protections and monitoring under the
CJR model. The model pricing structure,
discussed in III.C. of this final rule, also
includes features to protect against such
potential harm, such as responsibility
for post-episode spending increases,
stop-gain policies that set a maximum
threshold a hospital can earn for savings
achieved during episodes, and other
policies as detailed in that section. In
summary, we note that this payment
model does not constrain the practice of
medicine and we do not expect clinical
decisions to be made on the basis of the
payment amount.
Comment: Several commenters stated
that all states selected to participate in
the proposed HHVBP should be
exempted from having to participate in
the CJR model. Commenters stated that
forcing HHAs to participate in two
mandatory models simultaneously is
harsh and punitive and would likely
skew the results of both models in areas
of overlap.
Response: Only participant hospitals
under the CJR model are financially
responsible to CMS for the episode of
care. HHAs will continue to be paid the
FFS amount that they would otherwise
receive for beneficiaries included in the
CJR model. Therefore, there is no reason
to exempt hospitals located in MSAs
selected for participation in CJR that are
also located in states selected for
participation in the HHVBP model.
Comment: Many commenters
expressed concern with the interaction
between BPCI and the proposed joint
replacement model due to instances
where LEJR episodes excluded from CJR
due to BPCI would cause a low volume
issue for certain hospitals. Other
commenters stated that the proposed
CJR model penalizes providers that are
voluntarily participating in the BPCI
initiative and suggested that CMS allow
hospitals in selected MSAs to be
allowed to choose between participation
in BPCI and the joint replacement
model.
Response: Because there are LEJR
episodes currently being tested in BPCI
Models 1, 2, 3 and 4, we noted in the
proposed rule that we believed that
participation in CJR should not be
required if it would disrupt testing of
LEJR episodes already underway in
BPCI models. Therefore, we proposed
that IPPS hospitals located in an area
selected for the model that are active
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Model 1 BPCI participant hospitals as of
July 1, 2015, or episode initiators for
LEJR episodes in the risk-bearing phase
of Model 2 or 4 of BPCI as of July 1,
2015, would be excluded from
participating in CJR during the time that
their qualifying episodes are included in
one of the BPCI models. We clarify that
we will utilize current information on
BPCI participation to determine whether
a given hospital is included in CJR. For
example, if a hospital elected to
participate in the LEJR episode under
BPCI Model 2 in September 2015, that
hospital would not be included in CJR
during the time that their qualifying
episodes are included in BPCI.
Likewise, we proposed that if the
participant hospital is not an episode
initiator for LEJR episodes under BPCI
Model 2, then LEJR episodes initiated
by other providers or suppliers under
BPCI Model 2 or 3 (where the surgery
takes place at the participant hospital)
would be excluded from CJR. Otherwise
qualifying LEJR episodes (that is, those
that are not part of a Model 3 BPCI LEJR
episode or a Model 2 PGP-initiated LEJR
episode) at the participant hospital
would be included in CJR. We are
testing a model where participation is
not voluntary; therefore, it would not be
appropriate for hospitals in selected
MSAs to be allowed to choose between
participation in BPCI and the joint
replacement model. If hospitals were
allowed to voluntarily participate in the
CJR model, this would introduce
selection bias and hamper CMS’ ability
to analyze how such a payment model
potentially would work on a national
scale. In addition, a hospital interested
in participating in a voluntary model
had the opportunity under BPCI. In
response to concerns regarding the
interaction between BPCI and CJR and
potential for too few LEJR episodes at a
given hospital to remain under the CJR
model, low volume concerns are
discussed and addressed in section
III.A.4.b of this final rule.
Comment: Some commenters
requested CMS to allow hospitals
participating in ACOs that achieved
shared savings in recent performance
periods, Shared Savings Program ACOs
(Track 2 and Track 3), and full-risk
ACOs (such as Next Generation ACO),
to opt-out of participation in the CJR
model.
Response: As we previously noted
and in the proposed rule, many
hospitals have recently heightened their
focus on aligning their efforts with those
of community providers to provide an
improved continuum of care due to the
incentives under other CMS models and
programs. Therefore, hospitals that are
already involved in ACO initiatives and
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the CCN level including the
determination of physical location. The
physical location associated with the
CCN at the time of the model start will
be used to determine whether that CCN
is located in a selected MSA. For
hospitals that share a CCN across
various locations, all hospitals under
that CCN would be required to
participate in the CJR model if the
physical address associated with the
CCN is in the MSA, unless otherwise
excluded. Similarly, all hospitals under
the same CCN, even if some are
physically located in the MSA selected
for participation, would not participate
in in the CJR model if the physical
address associated with the CCN is not
in the MSA. Our analysis of the
hospitals in the selected MSAs indicates
that this phenomenon is not present in
the selected areas.
Final Decision: After consideration of
the public comments we received, we
are finalizing the proposal to designate
IPPS hospitals as the episode initiators.
The initiation of an episode is described
in § 510.100. We are also finalizing our
proposal to require IPPS hospitals
physically located in an area selected
for participation in the CJR model,
according to the address associated with
the CCN, to participate in the model and
bear the financial responsibility for LEJR
episodes of care under the CJR model.
Finally, we are finalizing our proposal
that hospitals selected for the model
that are active Model 1 BPCI participant
hospitals as of July 1, 2015, or episode
initiators for LEJR episodes in the riskbearing phase of Model 2 or 4 of BPCI
as of October 1, 2015, are excluded from
participating in CJR during the time that
their qualifying episodes are included in
one of the BPCI models. However, LEJR
episodes initiated by other providers or
suppliers under BPCI Model 2 or 3
(where the surgery takes place at the
participant hospital) are excluded from
CJR. Otherwise qualifying LEJR episodes
(that is, those that are not part of a
Model 3 BPCI LEJR episode or a Model
2 physician group practice-initiated
LEJR episode) at the participant hospital
are included in CJR. The definition of a
‘‘participant hospital’’ and ‘‘CJRregional hospital’’ will be codified in
§ 510.2, exclusions to episodes being
tested due to BPCI overlap will be
codified in § 510.100(b). The following
chart illustrates the inclusion of
episodes in CJR relative to BPCI.
4. Geographic Unit of Selection and
Exclusion of Selected Hospitals
would result in a more narrow test on
the effects of an episode-based payment,
or whether to include all hospitals in
particular geographic areas, which
would result in testing the effects of an
episode-based payment approach more
broadly across an accountable care
community seeking to coordinate care
longitudinally across settings. Selecting
certain hospitals where a high volume
of LEJRs are performed may allow for
fewer hospitals to be selected as model
participants, but still result in a
sufficient number of CJR episodes to
In determining which hospitals to
include in the CJR model, we
considered whether the model should
be limited to hospitals where a high
volume of LEJRs are performed, which
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the HRRP have already established a
base for augmenting these efforts under
the CJR model (80 FR 41205). Therefore,
we see no compelling reason why
hospitals participating in ACO
initiatives and other efforts cannot be
participant hospitals in the CJR model.
However, adjustments to account for
overlaps with other innovation center
models and CMS programs are
discussed in section III.C.7. of this final
rule.
Comment: A commenter stated that a
CMS Certification Number (CCN) can
include multiple hospitals. The
commenter inquired, if at least one
hospital under the CCN is in a selected
MSA, would the entire CCN be required
to participate in the CJR model. The
commenter also requested if some of the
hospitals in the CCN are not eligible for
the CJR program, would they be
required to participate because they are
under the same CCN.
Response: The proposed approach
indicated that CMS would base
selection on the physical location of the
hospital. The manner in which CMS
tracks and identifies hospitals is
through the CCN. In keeping with this
approach, the CJR model will
administer model-related activities at
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evaluate the success of the model.
However, there would be more potential
for behavioral changes that could
include patient shifting and steering
between hospitals in a given geographic
area that could impact the test.
Additionally, this approach would
provide less information on testing
episode payments for LEJR procedures
across a wide variety of hospitals with
different characteristics. Selecting
geographic areas and including all IPPS
hospitals in those areas not otherwise
excluded due to BPCI overlap as
previously described and in section
III.C.7. of the proposed rule as model
participants would help to minimize the
risk of participant hospitals shifting
higher cost cases out of the CJR model.
Moreover, in selecting geographic areas
we could choose certain characteristics,
stratify geographic areas according to
these characteristics, and randomly
select geographic areas from within each
stratum. Such a stratified random
sampling method based on geographic
area would allow us to observe the
experiences of hospitals with various
characteristics, such as variations in
size, profit status, and episode
utilization patterns, and examine
whether these characteristics impact the
effect of the model on patient outcomes
and Medicare expenditures within
episodes of care. Stratification would
also substantially reduce the extent to
which the selected hospitals will differ
from non-selected hospitals on the
characteristics used for stratification,
which would improve the statistical
power of the subsequent model
evaluation, improving our ability to
reach conclusions about the model’s
effects on episode costs and the quality
of patient care. Therefore, given the
authority in section 1115A(a)(5) of the
Act, which allows the Secretary to elect
to limit testing of a model to certain
geographic areas, we proposed to use a
stratified random sampling method to
select geographic areas and require all
hospitals paid under the IPPS in those
areas to participate in the CJR model
and be financially responsible for the
cost of the episode, with certain
exceptions as previously discussed and
in sections III.B.3 and III.C.7. of the
proposed rule.
a. Overview and Options for Geographic
Area Selection
In determining the geographic unit for
the geographic area selection for this
model, we considered using a stratified
random sampling methodology to
select—(1) Certain counties based on
their Core-Based Statistical Area (CBSA)
status, (2) certain zip codes based on
their Hospital Referral Regions (HRR)
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status; or (3) certain states. We address
each geographic unit in turn.
We considered selecting certain
counties based on their CBSA status. A
CBSA is a core area containing a
substantial population nucleus, together
with adjacent communities having a
high degree of economic and social
integration within that core. Counties
are designated as part of a CBSA when
the county or counties or equivalent
entities are associated with at least one
core (urbanized area or urban cluster) of
at least 10,000 in population, plus
adjacent counties having a high degree
of social and economic integration with
the core as measured through
commuting ties with the counties
associated with the core. There are 929
CBSAs currently used for geographic
wage adjustment purposes across
Medicare payment systems.4 The 929
CBSAs include 388 MSAs, which have
an urban core population of at least
50,000, and the 541 Micropolitan
Statistical Areas (mSA), which have an
urban core population of at least 10,000
but less than 50,000. CBSAs may be
further combined into a Combined
Statistical Area (CSA) which consists of
two or more adjacent CBSAs (MSAs or
mSAs or both) with substantial
employment interchange. Counties not
classified as a CBSA are typically
categorized and examined at a state
level.
The choice of a geographical unit
based on CBSA status could mean
selection of a CBSA, an MSA, or a CSA.
We proposed basing the selection on an
MSA, which we will discuss later in
this section.
We proposed that counties not in an
MSA would not be subject to the
selection process. These counties not
subject to selection would include the
mSA counties and the counties without
a core urban area of at least 10,000.
These areas are largely rural areas and
have a limited number of qualifying
LEJR cases. Relatively few of these areas
would be able to qualify for inclusion
based on the minimum number of LEJR
episodes in year requirement discussed
later in this section.
We considered, but ultimately
decided against, using CSA designation
instead of MSAs as a potential unit of
selection. Under this scenario, we
would look at how OMB classifies
4 As stated in the FY 2014 IPPS/LTCH PPS
proposed rule (78 FR 27552) and final rule (78 FR
50586), on February 28, 2013, OMB issued OMB
Bulletin No.13–01, which established revised
delineations for MSAs, mSA s, and CSAs, and
provided guidance on the use of the delineations of
these statistical areas. A copy of this bulletin may
be obtained at https://www.whitehouse.gov/sites/
default/files/omb/bulletins/2013/b-13-01.pdf.
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73289
counties. We would first assess whether
a county has been identified as
belonging to a CSA, a unit which
consists of adjacent MSAs or mSAs or
both. If the county was not in a CSA, we
would determine if it was in an MSA
that is not part of a larger CSA. Counties
not associated with a CSA or an MSA
would be unclassified and excluded
from selection. These unclassified areas
would include the counties in a state
that were either not a CBSA (no core
area of at least 10,000) or associated
with a mSA (core area of between 10,000
and 50,000) but unaffiliated with a CSA.
Whether to select on the basis of CSA/
MSAs or just on MSAs was influenced
by a number of factors. We considered
the following factors:
• CSAs, by definition, have a
significantly lower degree of
interchange between component parts
than the interchange experienced within
an MSA. Thus, we did not believe that
using CSAs would be necessary in order
to capture referral patterns. A case study
examination of the geographic areas
included in CSAs with respect to the
health care markets of those areas and
their respective parts helped to validate
our conclusion.
• We assessed the anticipated degree
to which LEJR patients would be willing
to travel for their initial hospitalization.
• We assessed the extent to which
surgeons are expected to have admitting
privileges in multiple hospitals located
in different MSAs.
• We considered the degree to which
we desire to include hospitals within
mSAs that are part of a larger CSA.
After examining these factors, we
concluded that that the anticipated risk
for patient shifting and steering between
MSAs within a CSA was not severe
enough to warrant selecting CSAs given
CMS’ preference for smaller geographic
units. However, because MSAs are units
with significant levels of social and
commercial exchange and due to the
mobility of patients and providers
within MSAs, we believed that selecting
complete MSAs is preferable to
selecting metropolitan divisions of
MSAs for inclusion in the CJR model.
We use the metropolitan divisions to set
wage indices for its prospective
payment systems (PPSs). Of the 388
MSAs, there are 11 MSAs that contain
multiple metropolitan divisions. For
example, the Boston-CambridgeNewton, MA–NH MSA is divided into
the following metropolitan divisions:
• Boston, MA.
• Cambridge-Newton-Framingham,
MA.
• Rockingham County-Strafford
County, NH.
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The Seattle-Tacoma-Bellevue, WA
MSA is divided into the following
metropolitan divisions:
• Seattle-Bellevue-Everett, WA.
• Tacoma-Lakewood, WA.
We proposed selecting entire MSAs
rather than sub-divisions within an
MSA.
We next considered selecting HRRs.
HRRs represent regional health care
markets for tertiary medical care. There
are 306 HRRs with at least one city
where both major cardiovascular
surgical procedures and neurosurgery
are performed. HRRs are defined by
determining where the majority of
patients were referred for major
cardiovascular surgical procedures and
for neurosurgery.5 Compared to MSAs,
HRRs are classified based on where the
majority of beneficiaries within a zip
code receive their hospital services for
selected tertiary types of care. The
resulting HRRs represent the degree to
which people travel for tertiary care that
generally requires the services of a
major referral center and not the size of
the referral network for more routine
services, such as knee and hip
arthroplasty procedures. In addition,
because HRRs are defined based on
referrals for cardiovascular surgical
procedures and neurosurgery, they may
not reflect referrals for orthopedic
procedures. Therefore, we believed that
MSAs as a geographic unit are
preferable over HRRs for this model.
We also considered selecting states for
the CJR model. However, we concluded
that MSAs as a geographic unit are
preferable over states for the CJR model.
As stated in section III.A.4.b. of the
proposed rule, we anticipate that
hospitals that would otherwise be
required to participate in the CJR model
would be excluded from the model
because their relevant LEJR episodes are
already being tested in BPCI. If we were
to select states as the geographic unit,
there is a potential that an entire state
would need to be excluded because a
large proportion of hospitals in that
state are episode initiators of LEJR
episodes in BPCI. In contrast, if we
excluded a specific MSA due to BPCI
participation, as discussed in the next
section, we could still select another
MSA within that same state. Likewise,
if we chose states as the geographic unit,
we would automatically include
hospitals in all rural areas within the
state selected. If MSAs are selected for
the geographic unit, we anticipate that
fewer small rural hospitals would be
included in the model. Using a unit of
5 The Dartmouth Atlas of Healthcare, https://
www.dartmouthatlas.org/data/region/. Accessed on
April 9, 2015.
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selection smaller than a state would
allow for a more deliberate choice about
the extent of inclusion of rural or small
population areas. Selecting states rather
than MSAs would also greatly reduce
the number of independent geographic
areas subject to selection under the
model, which would decrease the
statistical power of the model
evaluation. Finally, MSAs straddle state
lines where providers and Medicare
beneficiaries can easily cross these
boundaries for health care. Choosing
states as the geographic unit would
potentially divide a hospital market and
set up a greater potential for patient
shifting and steering to different
hospitals under the model. The decision
that the MSA-level analysis was more
analytically appropriate was based on
the specifics of this model and is not
meant to imply that other levels of
selection would not be appropriate in a
different model such as the proposed
HHVBP model.
For the reasons previously discussed,
we proposed to require all IPPS
hospitals to participate in the CJR model
(with limited exceptions as previously
discussed in section III.A.2. of the
proposed rule) if located in an MSA
selected through a stratified random
sampling methodology (outlined in
section III.A.3.b. of the proposed rule) to
test and evaluate the effects of an
episode-based payment approach for an
LEJR episodes. We proposed to
determine that a hospital is located in
an area selected if the hospital is
physically located within the boundary
of any of the counties in that MSA
where the counties are determined by
the definition of the MSA as of the date
the selection is made. In response to
comments, we are clarifying that we
will determine physical location using
the address associated with the CCN of
the hospital. Although MSAs are revised
periodically, with additional counties
added or removed from certain MSAs,
we proposed to maintain the same
cohort of selected hospitals throughout
the 5 performance years of the model
with limited exceptions as described
later in this section. Thus, we proposed
that, if after the start of the model, new
counties are added to one of the selected
MSAs or counties are removed from one
of the selected MSAs, those re-assigned
counties would retain the same CJR
status they had at the beginning of the
initiative. We believed that this
approach will best maintain the
consistency of the participants in the
model, which is crucial for our ability
to evaluate the results of the model. We
retain the possibility of adding a
hospital that is opened or incorporated
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within one of the selected counties after
the selection is made and during the
period of performance. (See section
III.C.4. of the proposed rule for
discussion of how target prices will be
determined for such hospitals.)
Hospitals in selected counties that do
not have any LEJR cases that qualify for
CJR, due to their participation in the
BPCI initiative as a hospital initiator in
an LEJR episode, will become subject to
CJR at the time their participation in
BPCI ends and their episodes become
eligible for CJR. Although we
considered including hospitals in a
given MSA based on whether the
hospitals were classified into the MSA
for IPPS wage index purposes, this
process would be more complicated,
and we could not find any compelling
reasons favoring this approach. For
example, we assign hospitals to metro
divisions of MSAs when those divisions
exist. See our previous discussion of
this issue. In addition, there is the IPPS
process of geographic reclassification by
which a hospital’s wage index value or
standardized payment amount is based
on a county other than the one where
the hospital is located. For the purpose
of this model, it is simpler and more
straightforward to use the hospital’s
physical location as the basis of
assignment to a geographic unit. This
decision would have no impact on a
hospital’s payment under the IPPS. We
sought comment on our proposal to
include participant hospitals for the CJR
model based on the physical location of
the hospital in one of the counties
included in a selected MSA.
The following is a summary of the
comments received and our responses.
Comment: Commenters generally
supported MSAs as the unit of
geographic selection. However, several
had concerns regarding the particular
circumstances of their MSAs. Some
commenters stated that MSAs were too
large and preferred the use of
metropolitan regions for large urban
areas such as New York City, while
others expressed concern with the
inclusion of rural portions of the MSA
counties. Commenters addressing the
rural providers within the selected
MSAs questioned whether the inclusion
of rural hospitals in the model was
deliberate or whether CMS believed
hospitals in rural areas should not be
included in the CJR model. Other
commenters expressed concern that
MSAs were a smaller than ideal unit of
selection and that selecting MSAs for
the model would encourage practices
such as funneling patients to hospitals
outside a selected MSA for surgery in
order to avoid inclusion in the model.
Conversely, a commenter asserted that
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participation in the model would result
in a competitive advantage for hospitals
in a selected MSA through the use of
gainsharing to recruit physicians to
move referrals into a selected market.
Some commenters were also concerned
about patient shifting in or out of a
selected MSA in areas where the MSA
was part of a larger CSA, such as in the
Atlanta CSA in which some, but not all,
component MSAs were selected for
participation in the CJR model.
Response: We first address the issue
of the inclusion of the entirety of an
MSA as the unit of selection rather than
just the core urban area. This was a
deliberate choice reflecting the fact that
we seek to examine the performance of
hospitals under CJR that could be
considered rural, low volume, or
outside the urban core. Inclusion of
such hospitals in the model will give us
insight on how the model functions in
these areas and increase the potential
generalizability of the model. The
proposed rule proposed additional
protections to selected classes of
hospitals such as SCHs, MedicareDependent Hospitals (MDHs), and RCHs
because we wanted to further protect
these federally-recognized categories of
vulnerable hospitals while including
them in the model.
We chose MSAs as the unit of
selection to balance the following
considerations: The scope for shifting
patients in or out of selected areas, our
ability to observe the impact of the
model in a variety of circumstances, and
our preference to not use a geographic
unit larger than strictly necessary to
evaluate the model. We acknowledge
that there are inevitably tradeoffs among
these criteria. With respect to the choice
of CSA versus MSA, a far greater
number of commenters were concerned
with the inclusion of rural providers
than were concerned with their or their
competitor’s markets crossing the
borders of MSAs within a CSA. By
definition, CSAs have a lesser degree of
the employment interchange than an
MSA and basing the geographic unit of
selection on a CSA would entail the
possibility of selecting mSAs within
CSAs. On balance, we believe it is
appropriate to limit the extent of rural
participation in CJR by confining it to
rural areas within MSAs. We are
sympathetic to concerns related to the
experience of hospitals that are located
near the borders between MSAs, but
believed that those concerns did not
outweigh these other considerations. In
contrast, the density of populations and
providers at the borders of these markets
was one of the reasons that we decided
to not proceed with allowing selection
to be done based on metropolitan
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divisions for those 11 MSAs that were
so sub-divided. Metropolitan divisions
are very likely to have hospitals whose
referral markets straddle divisions and
their use as a unit would have had been
problematic. After weighing the
comments we continue to believe that
MSAs are the most appropriate
compromise position for the choice of
geographic unit of selection.
Finally, we note that separate
commenters stated that a hospital in a
CJR selected county could be either at
both a competitive advantage (for
example, by providing an opportunity to
attract physicians through gainsharing),
or a competitive disadvantage (for
example, by causing physicians to shift
patients to nearby hospitals). We believe
that both phenomena may occur and
that the ability of a hospital to use the
opportunities presented to it under the
CJR model to strengthen its relationship
with other providers and potentially
achieve savings will vary by the
hospital’s specific circumstances and
capabilities. We do not see a strong
argument for why these types of effects
necessitate a change to the geographic
unit used for this model.
Comment: Some commenters
contended that the CJR model has
inadequate participation by small and
rural providers due to the elimination of
non-CBSA and mSAs from the
possibility of selection for this model.
The commenters wrote that CMS should
include more rural providers in order to
foster a model that is not overly tailored
to large providers and urban areas. A
commenter stated that inclusion in the
model would result in rural providers
being more prepared to adapt to future
payment and delivery reforms. Another
stated that it was important to include
more small volume hospitals, and urged
CMS to reconsider the implications of
this exclusion and to broaden the
definition of geographic areas.
Response: We appreciate commenters’
input on how to incorporate rural
providers in the CJR model and
acknowledge commenters’ concerns
related to the ability of small and rural
providers to effectively participate and
succeed in the model. Our proposed
approach to including low-volume and
non-urban providers within the selected
MSAs but removing from the possibility
of selection counties that are not in an
MSA or in an MSA with less than 400
qualifying LEJR cases is an appropriate
strategy that allows for inclusion of
rural providers in the model, while not
oversampling such providers.
Comments related to requests for
exclusion of particular hospitals are
addressed in the next section, MSA
Selection Methodology. Financial
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73291
protections for hospitals are addressed
later in section III.C.8. of this final rule.
Final Decision: After consideration of
the public comments we received, we
are finalizing the proposal, without
modification, to utilize MSAs as the
unit of selection for the model.
b. MSA Selection Methodology
We proposed to select the MSAs to
include in the CJR model by stratifying
all of the MSAs nationwide according to
certain characteristics.
(1) Exclusion of Certain MSAs
Prior to assigning an MSA to a
selection stratum, we examined whether
the MSA met specific proposed
exclusion criteria. MSAs were evaluated
sequentially using the following 4
exclusion criteria: First, MSAs in which
fewer than 400 LEJR episodes
(determined as discussed in section
III.B.2. of this final rule) occurred from
July 1, 2013 through June 30, 2014 were
removed from possible selection. The
use of the 400 LEJR cases in a year was
based on a simple one-sided power
calculation to assess the number of
episodes that would be needed to detect
a 5 percent reduction in episode
expenditures. Cases in hospitals paid
under either the critical access hospital
(CAH) methodology or the Maryland
All-Payer Model are not included in the
count of eligible episodes. This criterion
removed 156 MSAs from possible
selection.
Second, MSAs were removed from
possible selection if there were fewer
than 400 non-BPCI LEJR episodes in the
MSA in the reference year. For the
purposes of this exclusion, the number
of BPCI episodes was estimated as the
number of potentially eligible cases
during the reference year that occurred
in acute care hospitals participating in
BPCI Model 1, or in phase 2 of BPCI
Models 2 or 4 as of July 1, 2015 and the
number of LEJRs in the reference year
associated with these hospitals was
examined. This criterion removed an
additional 24 MSAs from potential
selection.
Third, MSAs were also excluded from
possible selection if the MSA was
dominated by BPCI Models 1, 2, 3, or 4
episodes to such a degree that it would
impair the ability of participants in
either the CJR model or the BPCI models
to succeed in the objectives of the
initiative or impair the ability to set
accurate and fair prices. We anticipate
that some degree of overlap in the two
models will be mutually helpful for
both models. There are two steps to this
exclusion. First, we looked at the
number of LEJR episodes at BPCI Model
1, 2 or 4 initiating hospitals and second,
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the number of LEJR episodes among
BPCI Model 3 SNF and Home Health
Agency (HHA) episode initiators. First,
we excluded MSAs if more than 50
percent of otherwise qualifying
proposed CJR episodes were in Phase 2
of BPCI Model 2 or 4 with hospital
initiators. Second, we excluded MSAs if
either SNF or HHA BPCI Model 3
initiating providers accounted for more
than 50 percent of LEJR referrals to that
provider type. As a result of this third
criterion, 4 additional MSAs were
removed from possible selection. No
MSAs were excluded based on SNF or
HHA participation in Model 3.
Finally, MSAs were removed if, after
applying the previous three criteria they
remained eligible for selection, but more
than 50 percent of estimated eligible
episodes during the reference year were
not paid under the IPPS system. The
purpose of this rule was to assess the
appropriateness of MSAs that contained
both Maryland and non-Maryland
counties. No MSAs were eliminated on
the basis of this rule. Please refer to the
appendix for this final rule for the status
of each MSA based on these exclusion
criteria, available at https://
innovation.cms.gov/initiatives/cjr/.
After applying these four exclusions,
196 MSAs remained to be stratified for
purposes of our proposed selection
methodology.
The following is a summary of the
comments received and our responses.
Comment: Many commenters
requested that we exclude additional
MSAs from the selection process.
Commenters supported our exclusion of
MSAs with less than a minimum
number of eligible LEJR episodes and a
high rate of BPCI LEJR penetration, but
were concerned that the list of BPCI
participating providers used in making
the exclusion determination did not
reflect providers entering BPCI as of
October 1, 2015. Such commenters
recommended that CMS recalculate
BPCI participation in LEJR episodes in
each MSA based on both hospital- and
physician-led participants and adjust
the MSA selection accordingly.
Commenters also suggested adding
additional selection criteria based on
the overall percent of LEJR episodes
associated with a BPCI episode, the
percent of LEJR episodes associated
with a PGP initiated BPCI episode, and
the percent of LEJR episodes associated
with an ACO.
Response: In response to the
comments, we re-examined the
exclusion rules based on an updated list
of providers participating in the BPCI
initiative for LEJR episodes. We also
examined the potential impact on
selection of MSAs that incorporating an
updated list of BPCI participants would
have. For the purposes of the reexamination of exclusion rule 2, which
eliminates MSAs with less than 400 CJR
eligible, non-BPCI episodes, we
estimated the BPCI LEJR episode count
as the number of potentially eligible
cases during the reference year that (1)
occurred in an acute care hospital
participating in BPCI Model 1 that
would still be active as of April 1, 2016;
(2) occurred in an acute care hospital in
a Phase 2 LEJR episode for BPCI Models
2 or 4 as of October 1, 2015; or (3) were
associated with an operating or
admitting physician on the hospital
claim assigned to a PGP with an LEJR
episode in Phase 2 of BPCI Model 2 as
of October 1, 2015. October 1, 2015 is
the final quarter for which participants
in Phase 1 of BPCI could transition any
episode into Phase 2. This represents a
change to the exclusion rule articulated
in the proposed rule, in that it updates
the list of BPCI participants and also
takes into account episodes associated
with Model 2 PGP episode initiators. As
we did for exclusion rule 2, we used the
October 2015 list of BPCI participants to
reassess exclusion rule 3. Rule 3
removes an MSA if more than 50
percent of patients were treated in a
BPCI initiating hospital or if more than
50 percent of LEJR patients treated in a
PAC setting of that type were treated in
a BPCI initiating HHA or SNF.
After we made the previously stated
changes, some MSAs previously eligible
for selection would now be considered
excluded. Additionally, two of the
MSAs previously excluded would now
be eligible for selection due to hospitals
withdrawing from BPCI and the MSAs
now having more than 400 eligible
cases. Eight MSAs that were selected in
the proposed rule would be classified as
excluded on the basis of these updated
exclusion rules.
We considered a variety of alternative
approaches to address the changes in
the eligibility of MSAs. First, we
considered proceeding with the list of
75 MSAs as initially selected and using
the exclusion rules as initially
proposed. Second, we considered
removing the 8 selected MSAs that
would now be excluded on the basis of
the updated BPCI participation
numbers. Third, we considered
replacing the 8 MSAs by randomly
selecting new MSAs from the remaining
MSAs in the relevant strata. However,
we believed that it would preferable,
although not required, to give the
selected MSAs a consistent period of
time between selection and the start of
the model. Fourth, we contemplated
creating a revised list of eligible MSAs
and randomly selecting a new group of
75 MSAs. Given the concern of many
commenters about the start date of the
model, we were reluctant to create a
completely new list of selected MSAs.
We believe that making a new selection
would be regarded unfavorably by
impacted MSAs and hospitals and
should be avoided if possible. In order
to be responsive to concerns regarding
the growth of BPCI after the publication
of the proposed rule and the increase in
PGP participation in BPCI, we are
proceeding with the second option.
The function of the stratification
approach was to ensure that our
selection of MSAs covered a range of
efficiency levels and population sizes
and allowed us to target our sampling
percentages so as to oversample in the
less efficient areas. Regarding the
selected MSAs now eliminated, they are
distributed fairly evenly throughout the
distribution of average episode
payments. From the least expensive to
the most expensive quartiles, the
number selected and now eliminated
are, in order, 2/15 (13 percent), 2/19 (11
percent), 3/30 (15 percent), and 1/22 (5
percent). We also believe that the
removal of these 8 MSAs from the
model will not preclude us from
undertaking a rigorous statistical
evaluation of the model.
Given the aforementioned
information, we believe that the
relatively minor reduction in statistical
power due to not re-selecting MSAs is
outweighed by the desire to give
affected participant hospitals equal time
to prepare for the model. We are
removing the 8 MSAs as noted in
Table 1.
TABLE 1—MSAS THAT WERE PREVIOUSLY SELECTED THAT ARE NO LONGER INCLUDED IN CJR
CBSA title
Revised exclusion rule 2 status
Colorado Springs, CO .............................................................
Evansville, IN–KY ....................................................................
Fort Collins, CO ......................................................................
Las Vegas-Henderson–Paradise, NV .....................................
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Fail
Fail
Fail
Fail
.........................................................
.........................................................
.........................................................
.........................................................
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Pass.
Pass.
Pass.
Fail.
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TABLE 1—MSAS THAT WERE PREVIOUSLY SELECTED THAT ARE NO LONGER INCLUDED IN CJR—Continued
Revised exclusion rule 2 status
Medford, OR ............................................................................
Richmond, VA .........................................................................
Rockford, IL .............................................................................
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CBSA title
Fail .........................................................
Fail .........................................................
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We next contemplated whether to
apply additional MSA-level exclusion
rules. We investigated a potential new
rule whereby an MSA would be
excluded based on the percent of the
MSA’s qualifying LEJR episodes
associated with Phase 2 Model 2 PGP
initiators. We did not believe that there
was as strong of an argument for
excluding MSAs on the basis of the
percent of patients treated by a BPCI
physician given that the hospital is the
financially accountable entity in CJR.
We examined two possible cut off
points (>65 percent and >50 percent) to
assess which MSAs would be
eliminated if we were to exclude MSAs
where a specific percent of an MSA’s
otherwise qualifying LEJR cases was
attributable to a BPCI PGP. At 65
percent, no selected MSAs not
otherwise excluded were impacted. 8
MSAs that were previously selected had
more than 50 percent of their LEJRs
performed by BPCI PGPs. Five of these
8 MSAs are already eliminated due to
the revised exclusion rule 2. For
markets with more than 400 non-BPCI
cases but more than 50 percent BPCI
PGP penetration, the number of the CJR
eligible patients was between 556 and
1834 indicating that there was a sizable
number of cases. Consequently, we did
not find this new exclusion rule
necessary.
Comment: Commenters requested
modifications to the proposed
exclusions of specific categories of
hospitals within an MSA. While
commenters stated a variety of concerns,
many of them were related to the
request that CMS exclude low volume
hospitals from the model. Commenters
made requests around specific
categories of hospitals including
Medicare Dependent Hospitals (MDHs),
Sole Community Hospitals (SCHs),
Rural Referral Centers (RRCs), hospitals
that are reclassified as rural, hospitals
perceived of as rural or outside of a core
urban area, and larger hospitals with a
low potential CJR LEJR volume due to
the exclusion of their patients because
their LEJR episodes were initiated by a
PGP BPCI LEJR episode initiator.
Commenters provided a variety of
rationales for why they believed it was
undesirable or unfair to include low
volume providers in the model. These
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reasons include, but are not limited to,
observations that—
• Low-volume providers are less
likely to be proficient at taking care of
these patients in an efficient costeffective manner and they will be less
likely to achieve savings;
• Low-volume hospitals will be
disproportionately impacted by outlier
cases and will have less predictable cost
and quality outcomes making it difficult
for them to manage the model
effectively. In addition, low volume
providers are likely to see a greater
proportion of hip fractures and nonplanned procedures;
• Low-volume hospitals will have
less control over and ability to impact
the behavior of other providers. The
pool of collaborating providers such as
orthopedic surgeons in most rural
communities may be limited and small
hospitals may not have the market
position to successfully influence
others’ behavior;
• Hospitals with a limited number of
Medicare hip and knee procedures may
not have sufficient incentive to invest
the time and resources necessary to
develop the infrastructure and
partnerships required to effectively
manage these episodes of care and may
not find the opportunity to improve
patient outcomes significant enough to
engage referring physicians and PAC
partners for redesign;
• Low volume providers may be more
financially vulnerable and with fewer
resources to design and carry out
initiatives or make effective responses to
the financial incentives in the model. A
commenter noted concerns with
hospital margins, and the possibility for
the reductions in revenue as a result of
the loss of volume or loss of margin
under CJR could result in additional
hospital closures.
Due to these concerns, commenters
requested a variety of solutions
including (1) the exclusion of hospitals
based on a volume cut off variously
defined by volume of eligible LEJR
cases, LEJR cases within specific MS–
DRGs and total hospital volume, (2)
making the model voluntary for low
volume providers, (3) extending the
protections afforded to SCH, MDH and
RRC to additional categories of hospitals
including hospitals electing to be
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Revised exclusion rule 3 status
Pass.
Pass.
Pass.
Fail.
treated as rural under § 412.103, and (4)
the provision of additional protections
or payment adjustments beyond what
was included in the proposed rule.
Response: We acknowledge the fact
that hospitals, particularly low volume
hospitals, are concerned and would like
to increase their probability of receiving
reconciliation payments under CJR
while minimizing the possibility of
reduction in revenue. We refer readers
to the following sections of this final
rule: Section III.C.8. for a discussion of
hospital financial protections, III.C.4. for
a discussion of how we will determine
target prices for hospitals with low
volume, and section III.C.4. for a
discussion of target prices for hip
fracture patients. We believe that the
modification of the treatment of hip
fractures in the payment methodology
should allay many concerns of small
and rural providers. This change may
disproportionately impact them since
emergency surgeries, such as hip
fractures, have a higher probability of
being performed in low volume settings.
As stated in relation to comments
requesting that CJR operate as a
voluntary model, the inclusion of low
volume hospitals in the CJR model is
consistent with the goal of evaluating
the impact of bundled payment and care
redesign across a broad spectrum of
hospitals with varying levels of
infrastructure, care redesign experience,
market position, and other
considerations and circumstances. The
design of the CJR model and the
inclusion of low volume providers
within the model reflects our interest in
testing and evaluating the impact of a
bundled payment approach for LEJR
procedures in a variety of
circumstances, especially among those
hospitals that may not otherwise
participate in such a test. The inclusion
of these providers allows CMS to better
appreciate and understand how the
model operates as a general payment
approach and its impact on a wide range
of hospitals. Many LEJR surgeries are
performed in low volume settings, thus,
the impact of the CJR model on low
volume hospitals is of great interest to
the evaluation of this initiative.
We acknowledge that providers with
low volumes of cases may not find it in
their financial interests to make
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systematic care redesigns or engage in
an active way with the CJR model. We
expect that low volume providers may
decide that their resources are better
targeted to other efforts because they do
not find the financial incentive present
in the CJR sufficiently strong to cause
them to shift their practice patterns. We
acknowledge that low volume hospitals
may achieve less savings because they
did not or could not make the necessary
changes to the treatment of their
qualifying beneficiary population. We
believe this choice is similar in nature
to that made as hospitals decide their
overall business strategies and where to
focus their attentions.
Comment: Many commenters
requested that CMS exclude hospitals
where more than 50 percent of the
eligible LEJRs performed at a hospital
would be attributed to a PGP initiated
BPCI episode and would thus not be in
CJR. The majority of these commenters
were concerned about low volumes of
patients, which is addressed in the
previous comment and response. Some
were concerned about the operational
complexity of identifying, tracking, and
managing patients treated in CJR versus
BPCI.
Response: We will not exclude IPPS
hospitals in selected MSAs other than as
already specified or allow IPPS
hospitals to opt out of participation in
CJR. As previously noted in the
discussion on low volume hospitals, we
consider the inclusion of low volume
providers a core feature of the model
that will aid us in understanding the
impact of a variety of providers in
various circumstances. Similarly, we do
not believe it is necessary or appropriate
to exclude hospitals on the basis of
some of the surgeons in their hospitals
being associated with a BPCI PGP. Like
with more traditional low volume
providers, the extent to which a hospital
alters its behavior in response to the CJR
model will likely be the result of a
variety of factors including but not
limited to the anticipated number of
cases. It should be noted that the revised
exclusion rule that resulted in the
elimination of 8 MSAs was based on
failing to meet a minimum MSA number
of LEJRs and not based on either the
number of LEJRs at a particular hospital
or the portion of PGPs at any level of
analysis. If an IPPS hospital in a
selected area has some of their LEJR
cases qualify as CJR episodes and some
that do not due to BPCI participation,
Medicare Advantage status or any other
reason, the fact that CJR cases are not
their full caseload will not be
considered a reason for exclusion of the
hospital.
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With respect to challenges that
hospitals may experience related to
identifying eligible patients and
following them over the course of their
episodes, we acknowledge that concern.
However, we consider the improved
tracking and communication with other
providers and suppliers that is likely to
occur as a result of hospital efforts in
CJR to be a benefit of the model that will
improve the coordination of patient care
and possibly improve patient outcomes.
Comment: Two commenters raised
the issue of hospital systems spanning
more than one MSA. They requested
that CMS either allow all of the
hospitals in the system to be included
in CJR or allow all of the hospitals to be
excluded. Commenters stated that the
additional administrative burden
associated with two concurrent
Medicare payment methodologies
would be unduly burdensome.
Additionally, commenters stated that
CMS should develop criteria under
which all providers in health systems
with a significant number of BPCI
participants would be excluded from
the CJR model due to operational
challenges to managing the BPCI and
CJR models simultaneously within a
health care system.
Response: With respect to the request
that all members within a health system
be allowed to have all of their hospitals
participate in BPCI because operating
under two systems is too onerous, if a
health system made the choice to enter
some but not all of their locations into
BPCI, they have already made the
business decision to operate partly
under one incentive structure and partly
under another. We do not believe that
the existence of CJR model as proposed
should change the timelines for
transitioning to Phase 2 of BPCI. We
will not exclude hospitals from the
model on the basis that some of the
hospitals in its health system are
participating in BPCI or some of the
hospitals in its health system have CCNs
with addresses located in a non-selected
MSA.
The CJR model will require hospitals
within selected geographic areas to
participate (unless otherwise excluded
as set forth in this final rule). The
inclusion of additional voluntarily
participating hospitals outside of these
selected areas would constitute a major
change to the model that was not
considered in the proposed rule.
Providers who wished to participate in
a voluntary episode model had the
opportunity under the BPCI initiative.
Final Decision: After consideration of
the public comments we received, we
are modifying the MSA exclusion rules
used in determining which MSAs are
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eligible for selection. The following is a
description of the MSA exclusion
criteria used in this final rule:
In determining if an MSA was eligible
for selection, we first examined whether
the MSA met any of the four exclusion
criteria as formulated in the proposed
rule. This process resulted in a pool of
196 MSA from which we then selected
75 for inclusion in CJR via stratified
random selection.
In this final rule, we revised the
exclusion rules as defined later in this
section, with the purpose of assessing
whether any of the 75 selected MSAs
would be considered not eligible for
selection based on applying the new
criteria.
Specifically, the second exclusion
rule, which eliminates MSAs with fewer
than 400 non-BPCI CJR eligible cases, is
modified with the following additions
(1) the determination of the count of
patients associated with a BPCI Phase 2
initiating hospital is based on the
participation in BPCI as of October 1,
2015 rather than July 1, 2015 and (2) the
count of BPCI episodes to be removed
from the count of eligible episodes takes
into consideration patients who would
have been attributed to a BPCI Model 2
initiating PGP in Phase 2 for an LEJR
episode as of October 1, 2015. The third
exclusion rule, wherein MSAs were
excluded based on the percent of the
MSA’s LEJR population associated with
either a BPCI hospital, SNF or HHA in
an MSA, was changed to be based on
episodes associated with participation
in BPCI as of October 1, 2015 rather
than July 1, 2015.
As a result of updating the list of BPCI
participants to those entering the model
in October 2015 and including Phase 2
PGPs in the calculation of the number
of cases in the MSA, 8 MSAs out of the
75 MSAs that were previously selected
are now deemed not eligible for
selection and are consequently no
longer required to participate in CJR.
These previously selected and now
excluded MSAs are shown in Table 1.
The remaining 67 MSAs selected in the
proposed rule will be required to
participate in CJR.
(2) Selection Strata
Numerous variables were considered
as potential strata for classifying MSAs
included in the model. However, our
proposal was intended to give priority
to transparency and understandability
of the strata. We proposed creating
selection strata based on the following
two dimensions: MSA average wageadjusted historic LEJR episode
payments and MSA population size.
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(a) MSA Average Wage-Adjusted
Historic LEJR Episode Payments
We were interested in being able to
classify and divide MSAs according to
their typical patterns of care associated
with LEJR episodes. As a
straightforward measure of LEJR
patterns of care, we selected the mean
MSA episode payment, as defined in the
proposed rule. MSAs vary in their
average episode payments. The average
episode payments in an area may vary
for a variety of reasons including—(1) In
response to the MS–DRG case mix and
thus the presence of complicating
conditions; (2) readmission rates; (3)
practice patterns associated with type of
PAC provider(s) treating beneficiaries;
(4) variations of payments within those
PAC providers, and (5) the presence of
any outlier payments.
The measure of both mean episode
payments and median episode
payments within the MSA was
considered. We proposed to stratify by
mean because it would provide more
information on the variation in episode
payments at the high end of the range
of payments. We are interested in the
lower payment areas for the purpose of
informing decisions about potential
future model expansion. However, the
CJR model is expected to have the
greatest impact in areas with higher
average episode payments.
The average episode payments used
in this analysis were calculated based
on the proposed episode definition for
CJR using Medicare claims accessed
through the Chronic Conditions
Warehouse for 3 years with admission
dates from July 1, 2011 through June 30,
2014. Episode payments were wageadjusted using the FY 2014 hospital
wage index contained in the FY 2014
IPPS Final Rule, downloaded at https://
www.cms.gov/Medicare/Medicare-Feefor-Service-Payment/
AcuteInpatientPPS/FY-2014-IPPS-FinalRule-Home-Page-Items/FY-2014-IPPSFinal-Rule-CMS-1599-F-Data-Files.html.
The adjusted payment was calculated by
dividing the unadjusted payment by a
factor equal to the sum of 0.3 plus the
multiplicative product of 0.7 and the
wage index value of the hospital where
the LEJR was performed. We truncated
the episode payment at the 99.9th
percentile of the distribution ($135,000)
to limit the impact of extreme outliers.
(b) MSA Population Size
The second dimension proposed for
the CJR selection strata is the number of
persons in the MSA. In deciding how
best to incorporate the dimensions of
urban density and availability of
medical resources, a variety of measures
were considered, including overall
population in the included counties,
overall population in the core area of
the MSA, population over the age of 65
in the MSA, the number of hospital beds
and the number of Medicare FFS LEJR
procedures in a year. The reason we
decided to include this dimension in
the strata definition is that these factors
are believed to be associated with the
availability of resources and variations
in practice and referral patterns by the
size of the healthcare market. When
examined, these alternative measures
were all very highly correlated with one
another, which allowed the use of one
of these measures to be able to
substitute for the others in the definition
of the stratum. From these alternative
approaches, we choose to use MSA
population. In operationalizing this
measure, MSAs were classified
according to their 2010 census
population.
(c) Analysis of Strata
The two proposed domains, MSA
population and MSA historic LEJR
73295
episode spending, were examined using
a K-Means factor analysis. The purpose
of this factor analysis was to inform the
process of which cut points most
meaningfully classify MSAs. Factor
analysis attempts to identify and isolate
the underlying factors that explain the
data using a matrix of associations.
Factor analysis is an interdependence
technique. Essentially, variables are
entered into the model and the factors
(or clusters) are identified based on how
the input variables correlate to one
another. The resulting clusters of MSAs
produced by this methodology
suggested natural cut points for average
episode payments at $25,000 and
$28,500. While not intentional, these
divisions correspond roughly to the
25th and 75th percentiles of the MSA
distribution. Cut points based on these
percentiles seemed reasonable from
statistical and face validity perspectives
in the sense that they created groups
that included an adequate number of
MSAs and a meaningful range of costs.
As a result of this analysis, we
classified MSAs according to their
average LEJR episode payment into four
categories based the on the 25th, 50th
and 75th percentiles of the distribution
of the 196 potentially selectable MSAs
as determined in the exclusion rules as
applied in the proposed rule (80 FR
41198). This approach ranks the MSAs
relative to one another and creates four
equally sized groups of 49. The
population distribution was divided at
the median point for the MSAs eligible
for potential selection as determined
and defined in the proposed rule. This
resulted in MSAs being divided into
two equal groups of 98. The
characteristics of the resulting strata are
shown in Table 2.
TABLE 2—SUMMARY POPULATION AND EPISODE PAYMENT STATISTICS BY MSA GROUP
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Payment in
lowest quarter
MSAs deemed eligible in the proposed rule (80 FR 41198)
with population less than median:
Number of Eligible MSAs .............................................
Average of Population ..................................................
Minimum MSA Population ............................................
Maximum MSA Population ...........................................
Average Episode Payments ($) ....................................
Minimum Episode Payments ........................................
Maximum Episode Payments .......................................
MSAs deemed eligible in the proposed rule (80 FR 41198)
with population more than median:
Number of Eligible MSAs .............................................
Average of Population ..................................................
Minimum MSA Population ............................................
Maximum MSA Population ...........................................
Average Episode Payments ($) ....................................
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Payment in
2nd lowest
quarter
Payment in
3rd lowest
quarter
Payment in
highest quarter
Total eligible
33
251,899
96,275
425,790
$22,994
$18,440
$24,846
19
238,562
55,274
416,257
$25,723
$24,898
$26,505
22
268,331
106,331
424,858
$27,725
$26,764
$28,679
24
254,154
96,024
428,185
$30,444
$29,091
$32,544
98
253,554
55,274
428,185
$26,410
$18,440
$32,544
16
1,530,083
464,036
4,335,391
$23,192
30
1,597,870
436,712
5,286,728
$25,933
27
1,732,525
434,972
12,828,837
$27,694
25
2,883,966
439,811
19,567,410
$30,291
98
1,951,987
434,972
19,567,410
$27,082
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TABLE 2—SUMMARY POPULATION AND EPISODE PAYMENT STATISTICS BY MSA GROUP—Continued
Payment in
lowest quarter
Payment in
2nd lowest
quarter
Payment in
3rd lowest
quarter
Payment in
highest quarter
Total eligible
Minimum Episode Payments ........................................
Maximum Episode Payments .......................................
$16,504
$24,819
$25,091
$26,754
$26,880
$28,659
$28,724
$33,072
$16,504
$33,072
Total Eligible MSAs ...............................................
49
49
49
49
........................
Note: Population and episode payment means are unweighted averages of the MSA values within each of the eight MSA groups.
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Please refer to the addenda for this
final rule for information on the nonexcluded MSAs, their wage adjusted
average LEJR episode spending, their
population and their resultant group
assignment at: https://
innovation.cms.gov/initiatives/cjr/.
(3) Factors Considered But Not Used in
Creating Proposed Strata
In addition to the two dimensions we
proposed to use for the selection groups
previously discussed, a variety of
possible alternative measures and
dimensions were considered. Many of
these variables are considered to be
important but it was believed that it was
important to have a fairly
straightforward and easily
understandable stratum definition.
Simplicity, by definition, required that
only the most important variables
would be used. If a market characteristic
under consideration was correlated with
one of the chosen dimensions or it was
believed that variations in the
characteristic could be adequately
captured by random selection within
the strata, is was not prioritized for
inclusion.
Some of the factors considered that
we did not propose as dimensions are—
• Measures associated with variation
in practice patterns associated with
LEJR episodes. In considering how to
operationalize this measure, a number
of alternatives were considered
including total PAC LEJR payments in
an MSA, percent of LEJR episodes with
a SNF claim in an MSA, percent of LEJR
episodes with an initial discharge to
HHA, percent of LEJR episodes with an
Inpatient rehabilitation facility (IRF)
claim, and percent of LEJR episodes
with claims for two or more types of
PAC providers;
• Measures associated with relative
market share of providers with respect
to LEJR episodes;
• Healthcare supply measures of
providers and suppliers in the MSA
including counts of IRF beds, SNF beds,
hospital beds, and number of orthopedic
surgeons;
• MSA level demographic measures
such as; average income, distributions of
population by age, gender or race,
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percent dually eligible, percent of
population with specific health
conditions or other demographic
composition measures; and
• Measures associated with the
degree to which a market might be more
capable or ready to implement care
redesign activities. Examples of market
level characteristics that might be
associated with anticipated ease of
implementation include the MSA-level
EHR meaningful use levels, managed
care penetration, ACO penetration and
experience with other bundling efforts.
It should be noted that, while these
measures were not proposed to be part
of the selection strata, we acknowledge
that these and other market-level factors
may be important to the proper
understanding of the evaluation of the
impact of CJR. It is the intention that
these and other measures will be
considered in determining which MSAs
are appropriate comparison markets for
the evaluation as well as considered for
possible subgroup analysis or risk
adjustment purposes. The evaluation
will include beneficiary, provider, and
market level characteristics in how it
examines the performance of this
proposed model.
(4) Sample Size Calculations and the
Number of Selected MSAs
Analyses of the necessary sample size
to facilitate a robust statistical analysis
of CJR’s effects led us to conclude that
we needed to include between 50 and
100 MSAs of the 384 MSAs with eligible
LEJR episodes to participate in CJR and
we proposed to select 75 MSAs. As
previously discussed, the proposed
revision of the MSA exclusion rules
resulted in 8 of the previously selected
MSAs now being considered excluded,
leading to their removal from the model.
The resulting number of selected MSAs,
67, is still within the acceptable range
for an MSA count as determined by our
analysis. The number and method of
selection of these original 75 MSAs from
the 8 proposed groups is addressed in
the following section. In finalizing this
approach, we are undertaking a test in
as few markets as possible while still
allowing us to be confident in our
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results and to be able to generalize from
the model to the larger national context.
We discuss the assumptions and
modeling that went into our proposal
later in this section.
In calculating the necessary size of the
model, a key consideration was
ensuring that the model would have
sufficient power to be able to detect the
desired size impact. The larger the
anticipated size of the impact, the fewer
MSAs we would have to sample in
order to observe it. However, a model
sized to be able to only detect large
impacts runs the risk of not being able
to draw conclusions if the size of the
change is less than anticipated. The
measure of interest used in estimating
sample size requirements for the CJR
model was wage-adjusted total episode
spending. To measure wage-adjusted
total episode spending, we used the 3
year data pull also used for the average
regional episode spending estimation
that covers LEJR episodes with
admission dates from July 1, 2011
through June 30, 2014. For the purposes
of the sample size calculation the
impact estimate assumed we wanted to
be able to detect a 2 percent reduction
in wage adjusted episode spending after
1 year of experience. This amount was
chosen because it is the anticipated
amount of the discount we proposed to
apply to target prices in CJR.
The next consideration in calculating
the necessary sample size is the degree
of certainty we will need for the
statistical tests that will be performed.
In selecting the right sample size, there
are two types of errors that need to be
considered ‘‘false negatives’’ and ‘‘false
positives’’. A false positive occurs if a
statistical test concludes that the model
was successful when it was, in fact, not.
A false negative occurs if a statistical
test fails to find statistically significant
evidence that the model was successful,
but it was, in fact, successful. In
considering the minimum sample size
needs of a model, a standard guideline
in the statistical literature suggests
calibrating statistical tests to generate no
more than a 5 percent chance of a false
positive and selecting the sample size to
ensure no more than a 20 percent
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chance of a false negative. In contrast,
the proposed sample size for this project
was based on a 20 percent chance of a
false positive and a 30 percent chance
of a false negative after one year of
episodes in order to be as conservative
as was practicable. A greater degree of
certainty will be available with
additional years of data.
A third consideration in the sample
size calculation was the appropriate
unit of selection and whether it is
necessary to base the calculation on the
number of MSAs, the number of
hospitals, or the number of episodes. As
discussed later in this section, we are
proposing to base the sample size
calculation at the MSA level.
The CJR model is a nested
comparative study, which has two key
features. First, the unit of assignment (to
treatment and comparison groups) is an
identifiable group; such groups are not
formed at random, but rather through
some physical, social, geographic, or
other connection among their members.
Second, the units of observation are
members of those groups. In such
designs, the major analytic problem is
that there is an expectation for a
positive correlation (intra-class
correlation (ICC)) among observations of
members of the same group (MSA). The
ICC reflects an extra component of
variance attributable to the group above
and beyond the variance attributable to
its members. This extra variation will
increase the variance of any aggregate
statistic beyond what would be
expected with random assignment of
beneficiaries or hospitals to the
treatment group.
In determining the necessary sample
size, we need to take into consideration
the degrees of freedom. As part of this
process, we examined the number of
beneficiaries, the number of hospitals,
and the number of MSAs and the level
of correlation in episode payments
between each level. For example, while
each beneficiary has their own episode
expenditure level, there are
commonalities between those
expenditure amounts at the hospital
level, based on hospital-specific practice
and referral patterns. The number of
degrees of freedom needed for any
aggregate statistic is related to the
number of groups (MSAs or hospitals),
not the number of observations
(beneficiary episodes). If we were to
base the determination of the size of the
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model on beneficiary episodes where
correlation exists, we would have an
inflated false positive error rate and
would overstate the impact of the
model. We empirically examined the
level of correlation between
beneficiaries and hospitals and between
hospitals and MSAs and determined
that the correlation was high enough to
be of concern and necessitate an MSA
level unit of selection.
Using the previous assumptions, a
power calculation was run which
indicated we would need between 50
and 150 treatment MSAs to be able to
reliably detect a 2 percent reduction in
payments after 1 year. The lower end of
this range assumed that our evaluation
approach could substantially reduce
variation through regression adjustment
and other types of statistical modeling.
We anticipated that we would have
adequate statistical power based on
prior research results, but wanted to
ensure that we did not have to achieve
the ‘‘best possible’’ results from such
modeling in order to draw conclusions.
In order to allow for some degree of
flexibility we proposed the selection of
75 MSAs. We narrowed the acceptable
range to between 50 and 100 MSAs
rather than 50 to 150 MSAs, based on
the assumption that we will be able to
substantially improve our estimates
through modeling, and then chose a
number near the middle of this reduced
range. Due to the revised exclusion
rules, we are proceeding with 67 MSAs,
which we believe will provide adequate
statistical power.
In assessing to what degree regression
adjustment and other statistical
adjustments could reduce the number of
MSAs needed to generate statistically
reliable results, it should be noted that
calculations are based on the actual
Medicare payments associated with
episodes. Thus, the variation in
payments associated with MS–DRG case
mix, or other reasons are already
captured in the methodology.
(5) Method of Selecting MSA
As previously discussed, we selected
75 MSAs from our proposed 8 selection
groups and subsequently reduced this
number to 67. In performing the initial
MSA selection, we examined and
considered a number of possible
approaches including equal selection in
each of the eight groups, equal selection
in the four payment groups, selection
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73297
proportionate to the number of MSAs in
each group, and a number of approaches
that differentially weighted the payment
categories.
After consideration, we proposed a
methodology that proportionally underweighted more efficient MSAs and overweighted more expensive MSAs was the
most appropriate approach to fulfilling
the overall priorities of this model to
increase efficiencies and savings for
LEJR cases while maintaining or
improving the overall quality of care.
This approach made MSAs in the lowest
spending category less likely to be
selected for inclusion. We thought this
appropriate because the MSAs in the
lowest expenditure areas have the least
room for possible improvement and are
already performing relatively efficiently
compared to other geographic areas,
which means that experience with the
model in these areas may be relatively
less valuable for evaluation purposes. At
the same time, we believed it was
important to include some MSAs in this
group in order to assess the performance
of this model in this type of
circumstance. We also believed it was
appropriate for higher payment areas to
be disproportionately included because
they are most likely to have significant
room for improvement in creating
efficiencies. We expect more variation
in practice patterns among the more
expensive areas. There are multiple
ways an MSA can be more relatively
expensive, including through outlier
cases, higher readmission rates, greater
utilization of physician services, or
through PAC referral patterns. A larger
sample of MSAs within the higher
payment areas will allow for us to
observe the impact of the CJR model on
areas with these various practice
patterns in the baseline period.
The method of disproportionate
selection between the strata used was to
choose 30 percent of the MSAs in the
two groups in the bottom quarter
percentile of the payment distribution,
35 percent of the MSAs in the two
groups in the second lowest quartile, 40
percent in the third quartile, and 45
percent in the highest episode payment
quartile. This proportion resulted in the
selection of the 75 originally selected
MSAs out of the 196 eligible. The
number of MSAs originally chosen as
well as the final selection counts within
the eight selection groups is shown in
Table 3.
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TABLE 3—NUMBER OF MSAS TO BE CHOSEN FROM THE EIGHT SELECTION GROUPS
Payment in
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Selection Proportion .............................................................
Less Than Median Population (Group #) ............................
Number Eligible MSAs per Proposed Rule (80 FR
41198) .......................................................................
Proportion x Number ....................................................
Number initially selected from group ............................
Number finally selected from group .............................
More Than Median Population (Group #) ............................
Number Eligible MSAs per NPRM ...............................
Proportion x Number ....................................................
Number initially selected from group ............................
Number finally selected from group .............................
Total Eligible MSAs per Proposed Rule (80 FR 41198) .....
Number initially selected ...............................................
Number finally selected from group .............................
We selected the proposed MSAs for
the CJR model through random
selection. In the proposed method of
selection, each MSA was assigned to
one of the eight selection groups
previously identified. Based on this
sampling methodology, SAS Enterprise
Guide 7.1 software was used to run a
computer algorithm designed to
randomly select MSAs from each strata.
SAS Enterprise Guide 7.1 and the
computer algorithm used to conduct
selection represents an industry
standard for generating advanced
analytics and provides a rigorous,
standardized tool by which to satisfy the
requirements of randomized selection.
The key SAS commands employed
include a ‘‘PROC SURVEYSELECT’’
statement coupled with the
‘‘METHOD=SRS’’ option used to specify
simple random sampling as the sample
selection method. A random number
seed was generated for each of the eight
strata by using eight number seeds
corresponding to birthdates and
anniversary dates of parties present in
the room. The random seeds for stratum
one through eight were as follows: 907,
414, 525, 621, 1223, 827, 428, 524. Note
that no additional stratification was
used in any of the eight groupings so as
to produce an equal probability of
selection within each of the eight
groups. For more information on this
procedure and the underlying statistical
methodology, please reference SAS
support documentation at: https://
support.sas.com/documentation/cdl/en/
statug/63033/HTML/default/viewer.
htm#statug_surveyselect_sect003.htm/
We also considered a potential
alternative approach to this random
selection in which we would generate a
starting number within SAS and then
choose every third MSA within a group
starting at this point until the relevant
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2nd lowest
quarter
Frm 00026
Payment in
highest quarter
Total eligible
MSAs
30%
(1)
35%
(2)
40%
(3)
45%
(4)
........................
........................
33
9.9
10
8
(5)
16
4.8
5
5
49
15
13
19
6.65
7
6
(6)
30
10.5
11
10
49
18
16
22
8.8
9
8
(7)
27
10.8
11
9
49
20
17
24
10.8
11
11
(8)
25
11.25
11
10
49
22
21
98
number of MSAs were chosen. We
opted to not utilize this feature for
simplicity’s sake and alignment with
other randomization methodologies
used for CMS models.
The selection of an MSA means that
all hospitals are included whose address
associated with their CCN is physically
located anywhere within the counties
that make up the MSA. By definition,
the entire county is included in an MSA
and hospitals that are in the relevant
counties will be impacted even if they
are not part of the core urban area.
We stated in the proposed rule,
should the methodology we propose in
this rule change as a result of comments
received during the rulemaking process,
it could result in different areas being
selected for the model. In such an event,
we would apply the final methodology
and announce the selected MSAs in the
final rule. Therefore we sought
comment from all interested parties in
every MSA on the randomized selection
methodology proposed in this section.
The following is a summary of the
comments received and our responses.
Comment: Two commenters raised
concerns regarding the number of MSAs
selected for inclusion in the model. One
noted that, given the range between 50
and 150 treatment MSAs to be able to
reliably detect a 2 percent reduction in
payments, CMS could drop some of the
75 selected MSAs without jeopardizing
the ability to produce generalizable
results from the CJR model. Another
commenter suggested that the approach
to the model should focus on an intense
analysis within fewer markets prior to
expansion into a larger representative
sample.
Response: As discussed in the
proposed rule, a variety of
considerations were made in the
determination of what would be an
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37
33
98
38
34
196
75
67
appropriate sample size. The initially
proposed 75 MSAs represented the 25
percentage points of the acceptable
range of MSAs to be included as
determined by sample size calculations.
We believe that using a number near the
bottom of the range would represent an
unnecessary risk to our ability to draw
conclusions from the model in a timely
manner. While we would prefer to have
75 MSAs in the model in order to
increase the likelihood of being able to
make definitive statements about the
impact of the model at an earlier date,
we believe the loss of the 8 MSAs now
deemed not eligible for selection
constitutes an acceptable risk.
With respect to the request to test the
model in a limited pool of MSAs prior
to testing it in the full set of selected
MSAs, we believe that the testing of this
model broadly is crucial to achieving
the model’s desired objectives and does
not believe that proceeding in a few test
MSAs prior to testing it in a broader set
of MSAs would yield the same degree
of information in the same time period.
Comment: A commenter was
concerned that the selection strata used
did not use MSA-level demographic
measures in its selection process,
including distributions of population by
age, gender, or race; percent of
population dually-eligible; percent of
population with specific health
conditions or other demographic
composition measures. They believed
these areas associated with more at-risk
populations should be represented less
in the selection. Another commenter did
not question the selection strata but
contended that the random selection
happened to choose fewer areas with
lower income and minority Medicare
beneficiaries than they thought
desirable. They specifically inquired
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after the lack of inclusion of MSAs in
Alabama and Georgia.
Response: We considered but
ultimately decided against including the
dimension based on the demographic
characteristics of an MSA incorporated
in the selection strata. If we were to
have done so, the purpose would have
been to ensure an adequate
representation along the range of these
demographic considerations rather than
to eliminate them from possible
selection. While these factors are not
explicitly part of the selection strata
used, the resulting selected MSAs
provide an adequate representation of a
variety of circumstances including the
experiences of areas with a higher
degree of non-white populations, MSAs
with a range in average income level,
and other key characteristics. With
regards to the specific concerns
regarding under-representation in the
MSAs selected from specific states, we
note that Alabama, which has relatively
high episode costs, had three of its
seven eligible MSAs selected while
Georgia, whose MSAs had episode
payments that indicated relatively more
efficient patterns of care, had two of its
six eligible MSAs selected. As such, we
believe that the experiences of these
states and MSAs that are similar in
nature to them are adequately
represented in the selected MSAs.
Comment: A commenter requested
clarification regarding how to interpret
which MSAs are included in the model.
Response: We refer readers to Table 4
for a final list of the MSAs that are in
the CJR model.
Final Decision: After consideration of
the public comments we received, we
are finalizing the proposal, with
modification to include 67 of the
originally selected 75 MSAs. We used
updated BPCI participation level
information in the application of the
MSA exclusion rules for this final rule,
resulting in the exclusion of an
additional 8 MSAs that were previously
selected. We note that we are posting
the list of the participant hospitals in
the selected MSAs on the CJR Web site
at https://innovation.cms.gov/initiatives/
CJR/. This list will be updated
throughout the model, to account for
circumstances such as hospital mergers,
BPCI termination, and new hospitals
within the selected MSAs.
We set forth this final policy in
§ 510.100 and § 510.105.
TABLE 4—MSAS INCLUDED IN THE
CJR MODEL
MSA
10420
TABLE 4—MSAS INCLUDED IN THE
CJR MODEL—Continued
MSA Name
MSA
10740
11700
12020
12420
13140
13900
14500
15380
Albuquerque, NM
Asheville, NC
Athens-Clarke County, GA
Austin-Round Rock, TX
Beaumont-Port Arthur, TX
Bismarck, ND
Boulder, CO
Buffalo-Cheektowaga-Niagara Falls,
NY
Cape Girardeau, MO-IL
Carson City, NV
Charlotte-Concord-Gastonia, NC-SC
Cincinnati, OH-KY-IN
Columbia, MO
Corpus Christi, TX
Decatur, IL
Denver-Aurora-Lakewood, CO
Dothan, AL
Durham-Chapel Hill, NC
Flint, MI
Florence, SC
Gainesville, FL
Gainesville, GA
Greenville, NC
Harrisburg-Carlisle, PA
Hot Springs, AR
Indianapolis-Carmel-Anderson, IN
Kansas City, MO-KS
Killeen-Temple, TX
Lincoln, NE
Los Angeles-Long Beach-Anaheim,
CA
Lubbock, TX
Madison, WI
Memphis, TN-MS-AR
Miami-Fort Lauderdale-West Palm
Beach, FL
Milwaukee-Waukesha-West Allis, WI
Modesto, CA
Monroe, LA
Montgomery, AL
Naples-Immokalee-Marco Island, FL
Nashville-Davidson–Murfreesboro–
Franklin, TN
New Haven-Milford, CT
New Orleans-Metairie, LA
New York-Newark-Jersey City, NYNJ-PA
Norwich-New London, CT
Ogden-Clearfield, UT
Oklahoma City, OK
Orlando-Kissimmee-Sanford, FL
Pensacola-Ferry Pass-Brent, FL
Pittsburgh, PA
Port St. Lucie, FL
Portland-Vancouver-Hillsboro, ORWA
Provo-Orem, UT
Reading, PA
Saginaw, MI
San
Francisco-Oakland-Hayward,
CA
Seattle-Tacoma-Bellevue, WA
Sebastian-Vero Beach, FL
South Bend-Mishawaka, IN-MI
St. Louis, MO-IL
Staunton-Waynesboro, VA
Tampa-St.
Petersburg-Clearwater,
FL
Toledo, OH
Topeka, KS
46220
46340
48620
31180
31540
32820
33100
33340
33700
33740
33860
34940
34980
35300
35380
35620
35980
36260
36420
36740
37860
38300
38940
38900
39340
39740
40980
41860
42660
42680
43780
41180
44420
45300
MSA Name
45780
45820
Akron, OH
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TABLE 4—MSAS INCLUDED IN THE
CJR MODEL—Continued
MSA
16020
16180
16740
17140
17860
18580
19500
19740
20020
20500
22420
22500
23540
23580
24780
25420
26300
26900
28140
28660
30700
31080
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73299
MSA Name
Tuscaloosa, AL
Tyler, TX
Wichita, KS
B. Episode Definition for the CJR Model
1. Background
CJR model is an episode payment
model, focused on incentivizing health
care providers to improve the efficiency
and quality of care for an episode of care
as experienced by a Medicare
beneficiary by bundling payment for
services furnished to the beneficiary for
an episode of care for a specific clinical
condition over a defined period of time.
Key policies of such a model include
the definition of episodes of care.
Episodes of care have two significant
dimensions—(1) A clinical dimension
that describes what clinical conditions
and associated services comprise the
episode; and (2) a time dimension that
describes the beginning, middle, and
end of an episode. We present our
proposals, summarize public comments
and provide our responses, and finalize
the policies for these two dimensions of
CJR episodes in this section.
2. Clinical Dimension of Episodes of
Care
a. Definition of the Clinical Conditions
Included in the Episode
As discussed previously in section
I.A. of this final rule, we identified LEJR
episodes, primarily hip and knee
replacements, as the focus of this model.
In the proposed rule, we stated our
belief that a straightforward approach
for hospitals and other providers to
identify Medicare beneficiaries in this
payment model is important for the care
redesign that is required for model
success, as well as to operationalize the
proposed payment and other model
policies.
The vast majority of LEJRs are
furnished in the inpatient hospital
setting, with a small fraction of partial
knee replacements occurring in the
hospital outpatient department (HOPD)
setting. Most of the Current Procedural
Terminology (CPT) codes that
physicians report for LEJR are on the
hospital OPPS inpatient only list. The
CY 2015 OPPS inpatient only list is
Addendum E of the CY 2015 Hospital
Outpatient Prospective Payment—Final
Rule with Comment Period, which is
available on the CMS Web site at: https://
www.cms.gov/Medicare/Medicare-Feefor-Service-Payment/ASCPayment/ASCRegulations-and-Notices-Items/CMS-
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1613-FC.html. Thus, under current FFS
payment policy, Medicare pays
hospitals for the facility services
required for most LEJR procedures only
when those procedures are furnished in
the inpatient hospital setting. Therefore,
in our proposal we stated our belief that
an episode payment model most
appropriately focuses around an
inpatient hospitalization for these major
surgical procedures, as there is little
opportunity for shifting the procedures
under this model to the outpatient
setting.
We noted further that LEJRs are paid
for under the IPPS through the
following two Medicare SeverityDiagnosis Related Groups (MS–DRGs):
• MS–DRG 469 (Major joint
replacement or reattachment of lower
extremity with Major Complications or
Comorbidities (MCC)).
• MS–DRG 470 (Major joint
replacement or reattachment of lower
extremity without MCC).
Multiple International Classification
of Diseases, 9th Revision, Clinical
Modification (ICD–9–CM) procedure
codes that describe LEJR procedures and
other less common lower extremity
procedures group to these MS–DRGs,
with their percentage distribution
within the IPPS MS–DRGs 469 and 470
for the past 4 years outlined in Table 5.
TABLE 5—DISTRIBUTION OF HOSPITAL CLAIMS FOR ICD–9–CM PROCEDURE CODES MAPPING TO MS–DRGS 469 AND
470
ICD–9–CM
procedure code
81.54
81.51
81.52
81.56
00.85
00.86
00.87
84.27
84.28
........................
........................
........................
........................
........................
........................
........................
........................
........................
FY 2014
(%)
Code descriptor
Total knee replacement .............................................................
Total hip replacement ................................................................
Partial hip replacement ..............................................................
Total ankle replacement ............................................................
Resurfacing hip, total, acetabulum and femoral head ..............
Resurfacing hip, partial, femoral head ......................................
Resurfacing hip, partial, acetabulum .........................................
Lower leg or ankle reattachment ...............................................
Thigh reattachment ....................................................................
57
30
12
0
0
0
0
0
N/A
FY 2013
(%)
FY 2012
(%)
58
29
13
0
0
0
0
N/A
N/A
58
29
13
0
0
0
0
N/A
N/A
FY 2011
(%)
58
28
14
0
0
0
0
N/A
0
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Note: Percentages or claim counts with ‘‘N/A’’ had no claims. Percentages of 0% represent less than 0.5% of total claims.
Additionally, we noted that there are
various types of claims-based
information available to CMS, hospitals,
and other providers, that could be used
to identify beneficiaries in the model
who receive LEJRs, including the MS–
DRGs for the acute care hospitalization
for the procedure, the ICD–9–CM
procedure code on the hospital claim, or
the CPT code(s) reported by the
orthopedic surgeon who furnishes the
surgical procedure. While we could
utilize ICD–9–CM procedure codes or
CPT codes to identify beneficiaries
included in the model, over 85 percent
of procedures that group to MS–DRGs
469 and 470 are hip or knee
replacements. Additionally, the
hospitals that would be participating in
this model receive payment under the
IPPS, which is not determined by CPT
codes and is based on clinical
conditions and procedures that group to
MS–DRGs. Finally, our review of the
other low volume procedures that group
to these same MS–DRGs, aside from
total or partial hip and knee
replacements, did not suggest that there
is significant clinical or financial
heterogeneity within these two MS–
DRGs such that we would need to
define care for included beneficiaries by
ICD–9–CM procedure codes.
Therefore, we proposed that an
episode of care in the CJR model would
be triggered by an admission to an acute
care hospital stay (hereinafter ‘‘the
anchor hospitalization’’) paid under
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MS–DRG 469 or 470 under the IPPS
during the model performance period.
This approach offers operational
simplicity, for providers and CMS, and
is consistent with the approach taken by
the BPCI initiative to identify
beneficiaries whose care is included in
the LEJR episode for that model. We
sought public comments on this
proposal to define the clinical
conditions that are the target of CJR.
The following is a summary of the
comments received and our responses.
Comment: Some commenters
expressed support for CMS’ proposal to
define the clinical conditions included
in the CJR model episode by discharge
from an anchor hospitalization that is
paid under MS–DRG 469 or 470 under
the IPPS, although a commenter claimed
that the cases within each MS–DRG are
too heterogeneous to form the basis of
a single target price as CMS proposed.
The commenter added that risk
adjustment could take the form of case
exclusions, stratifying cases within each
MS–DRG to create separate target prices,
or adjusting the target prices based on
principal procedure and patient
characteristics. Most commenters
recommended that CMS limit the model
to a subset of beneficiaries that were
discharged from these two MS–DRGs,
effectively excluding certain cases as
form of risk adjustment to reduce the
heterogeneity of the cases in the model.
The commenters asserted that CMS’
proposal, which did not include risk
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adjustment beyond setting different
target prices for episodes based on
discharges from the two different MS–
DRGs, failed to take into consideration
the variability of service needs of
beneficiaries discharged from these two
MS–DRGs related to the specific
procedure performed, the elective or
urgent/emergent nature of the
procedure, and the beneficiary’s clinical
and demographic characteristics,
including underlying medical
conditions and age. Several commenters
recommended that CMS define the
clinical conditions included in the
model by discharges only from MS–DRG
470, claiming that these beneficiaries
represented a more homogeneous group
that had less complex health care needs.
Some commenters urged CMS to define
the clinical conditions in the model
based on specific MS–DRG and ICD–9–
CM procedure code combinations for
hip and knee arthroplasty, and stated
that CMS should exclude low volume
procedures that also map to MS–DRGs
469 and 470 including ankle
replacement; lower leg, ankle, and thigh
reattachment; and hip resurfacing
procedures. The commenters stated that
these uncommon procedures display
substantial heterogeneity in the clinical
characteristics and needs of the
beneficiary, as well as the associated
Medicare payment for services
throughout an episode. They contended
that the rationale for CMS’ proposal
addressed hip and knee replacement in
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detail but failed to consider the different
PAC patterns of other beneficiaries
discharged from the same MS–DRGs but
who had different surgical procedures.
A commenter recommended that CMS
specifically exclude episodes for
conversion total joint arthroplasty
procedures, which require removal of
previously placed hardware followed by
THA or TKA in the same operative
session, arguing that these beneficiaries
had more complex needs.
Many commenters recommended that
CMS define the clinical conditions in
the model as episodes specific to
elective total hip arthroplasty (THA)
and total knee arthroplasty (TKA)
procedures. The commenters stated that
this group of beneficiaries is more
homogeneous than beneficiaries
undergoing emergent joint replacement
procedures for hip fractures or
undergoing the other low volume
procedures that map to the MS–DRGs.
Given that CMS did not propose risk
adjustment under the model based on
procedure or patient characteristics, the
commenters contended that limiting the
model to these clinical conditions, that
represent about 85 percent of
beneficiaries discharged for the two
MS–DRGs, would provide a sufficient
number of cases to test LEJR episode
payment and allow hospitals to create
efficient, effective clinical pathways for
these beneficiaries. The commenters
also observed that CMS’ quality
measures, specifically the THA/TKA
readmissions and complications
measures, as well as the voluntary data
collection for patient-reported
outcomes, would represent only the
quality of care for beneficiaries
undergoing elective THA and TKA
procedures. Several commenters
recommended that CMS only include
episodes in the model for beneficiaries
discharged from MS–DRG 469 or 470
whose data would be used to determine
the model’s quality measures for the
participant hospital.
The commenters suggested several
different approaches to defining the
clinical conditions included in the
model as elective THA or TKA. One
approach would be to eliminate from
the model beneficiaries with reported
ICD–9–CM procedure codes other than
THA or TKA, and then further exclude
some remaining beneficiaries with ICD–
9–CM codes for hip fracture on their
claim for the anchor hospitalization.
Other commenters asserted that CMS
should exclude the beneficiaries
receiving the low volume procedures as
well as those receiving partial hip
arthroplasty (PHA) procedures. The
commenters pointed out that almost all
of the beneficiaries receiving PHA
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would have hip fractures and observed
that the average Medicare episode
payment for beneficiaries undergoing
PHA was similar to beneficiaries
discharged from MS–DRG 469 or 470
with hip fracture diagnoses, almost
twice the payment for beneficiaries
undergoing elective THA and TKA.
Several commenters presented analyses
that demonstrated that beneficiaries
with hip fracture, regardless of their
discharge from MS–DRG 469 or 470,
when compared to beneficiaries with
elective procedures, experience twice as
high readmissions and PAC utilization
rates, as well as higher morbidity and
mortality.
The commenters in favor of excluding
clinical conditions involving hip
fractures from the model stated that the
number of hip fracture cases treated by
individual hospitals can vary
significantly on an annual basis, both
due to random variation and practice or
population changes. Moreover, different
hospitals provide care for different
percentages of beneficiaries with hip
fracture and, according to some
commenters, academic medical centers
and small hospitals care for
disproportionate percentages of these
cases for reasons of medical complexity
and the urgent nature of the procedure,
respectively, because beneficiaries who
fall and experience a hip fracture are
commonly transported to their local
hospital for emergent treatment.
Furthermore, in addition to the
variation a hospital itself may
experience regarding the percentage of
hip fracture cases, which could lead to
the hospital-specific historical data used
for a portion of the target price to not
be reflective of the health care needs of
the hospital’s episode population in a
given performance year, some
commenters observed that the
increasing percentage of the target price
contributed by regional data exacerbated
their concerns. Hospitals in a region that
care for a disproportionately high
percentage of hip fracture patients
compared to the regional average would
be disadvantaged due to the more
intense service needs of hip fracture
patients, whereas hospitals caring for a
disproportionately low percentage of
hip fracture patients compared to the
regional average would be advantaged.
The commenters contended that
excluding clinical conditions involving
hip fractures from the CJR model would
ensure homogeneity in the beneficiaries
in the model such that hospitals would
be treated fairly with respect to episode
pricing based on the hospital-specific
and regional historical CJR episode data
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for only those beneficiaries undergoing
elective THA and TKA.
Response: We appreciate the analyses
and suggestions provided by the
commenters regarding the most
appropriate approach to defining the
clinical conditions included in the CJR
model. As discussed in section III.C.4.b.
of this final rule, we have decided to
risk stratify the target price for each
MS–DRG-anchored episode based on a
beneficiary’s hip fracture status. This
policy allows us to maintain
beneficiaries who receive LEJR
procedures due to hip fractures in the
CJR model, while acknowledging their
typically greater health care needs by
providing a target price that is based on
payment for services furnished in the
historical CJR episode data for Medicare
beneficiaries with hip fractures in order
to account for a significant amount of
beneficiary-driven episode expenditure
variation. While beneficiaries with hip
fractures may present a more costly
population due to greater health care
needs, and CJR participant hospitals
may vary in their percentages of such
beneficiaries, we believe that
beneficiaries with hip fracture have the
potential to benefit substantially from
the care pathways and improved care
coordination among providers and
suppliers that is incentivized by an
episode payment model. In addition, we
believe there are opportunities for
increased efficiency in the care of
beneficiaries with hip fracture who
receive LEJR procedures with respect to
appropriate PAC utilization and care
coordination and management of
chronic conditions that may be affected
by the LEJR procedure or post-surgical
care. Thus, we are finalizing our
proposal to include LEJR procedures
that result from hip fracture treatment in
the clinical conditions that are part of
the CJR model episodes, rather than
limiting the model conditions to only
elective THA and TKA.
We are also finalizing our proposal to
include clinical conditions represented
by discharge from both MS–DRG 469
and 470 in the CJR model. We believe
that providing separate prices for
episodes anchored by the two different
MS–DRGs accounts for the differences
in typical health care needs of the two
groups of beneficiaries, specifically the
higher IPPS payment for the anchor
hospitalization for beneficiaries
discharged under MS–DRG 469, as well
as the pattern of service utilization for
this group of beneficiaries in the 90 days
following discharge.
Additionally, we are finalizing our
proposal to include any lower extremity
joint procedure that results in discharge
from MS–DRG 469 or 470 in the CJR
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model, including ankle replacement;
lower leg, ankle, and thigh
reattachment; and hip resurfacing
procedures. While the model
beneficiaries with these less common
clinical conditions are likely to be a
small number at any specific participant
hospital, they too may benefit from care
redesign resulting in improved care
coordination and quality that are goals
of the CJR model. These beneficiaries
share the experience of undergoing
major surgical procedures involving the
lower extremity with the majority of CJR
model beneficiaries undergoing THA or
TKA, and they too are likely to require
PAC services and care coordination and
management of chronic medical
conditions to optimize their return to
function. We expect that the Medicare
actual episode payments for these
clinical conditions may be highly
variable given the small numbers and
variable clinical characteristics of these
beneficiaries such that historical
episode data may have little predictive
power regarding the actual episode
payment for the beneficiaries in a model
performance year. We do not believe
this small number of beneficiaries will
put participant hospitals at undue
financial risk and further note that our
payment policies as discussed in section
III.C.3.c. and III.C.8. of this final rule
provide a pricing adjustment for high
payment episodes and limit hospital
financial responsibilities to provide
participant hospitals with additional
protections.
We note that our final policy to
include all clinical conditions that
result in a discharge from MS–DRGs 469
or 470 in the CJR model allows us to
continue to rely on MS–DRGs to define
the clinical conditions included in the
LEJR episode being widely tested under
the CJR model, consistent with the BPCI
methodology to define clinical
conditions included in 48 different
episodes based on the MS–DRGs for the
anchor hospitalization. This approach
provides greater certainty from the
perspective of participant hospitals or
CMS regarding the clinical conditions
included in episodes, since the
discharge MS–DRG is the defining
parameter, and includes the greatest
number of beneficiaries with similar
clinical conditions in the CJR model
test.
Comment: Several commenters urged
CMS to include in the CJR model LEJR
procedures where the procedure that
would result in a beneficiary’s discharge
from MS–DRG 469 or 470 if furnished
in the inpatient hospital setting is
furnished in the HOPD, ambulatory
surgical center (ASC), or other dedicated
facility that is not an acute care facility.
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The commenters explained that elective
procedures are commonly furnished in
the HOPD, ASC, or other dedicated
facilities that are not acute care facilities
for certain beneficiaries covered by
commercial insurance, while Medicare
covers and pays for the procedures only
when they are furnished in the inpatient
hospital settings. The commenters
disputed CMS’ assertion in the
proposed rule that there is little
opportunity for shifting these
procedures to the outpatient setting.
They urged CMS to permit these LEJR
procedures to be furnished to Medicare
beneficiaries in other settings under the
CJR model to improve episode
efficiency. The commenters contended
that physicians should be able to select
the most appropriate inpatient hospital
or outpatient setting based on the
beneficiary’s clinical condition.
Response: We appreciate the interest
of the commenters in providing LEJR
procedures under the CJR model to
Medicare beneficiaries in alternative
outpatient settings as a further
opportunity to test strategies to provide
high quality, efficient episode care for
beneficiaries undergoing LEJR
procedures. As we discussed in the
proposed rule, the vast majority of LEJR
procedures are furnished to Medicare
beneficiaries in the inpatient hospital
setting, with a small fraction of partial
knee replacements occurring in the
hospital outpatient department (HOPD).
Most of the CPT codes that physicians
report for LEJR procedures are on the
hospital OPPS inpatient only list. Thus,
under current Medicare program policy,
Medicare generally pays hospitals for
the facility services required for LEJR
only when those procedures are
furnished in the inpatient hospital
setting. When we stated our belief in the
proposed rule that an episode payment
model such as the CJR model most
appropriately focuses around an
inpatient hospitalization for these major
surgical procedures, as there is little
opportunity for shifting the procedures
under the model to the outpatient
setting, we meant that this would be
true under current Medicare policy.
Because Medicare generally does not
pay hospitals if procedures that would
be assigned to MS–DRG 469 or 470
when furnished to inpatients are
performed on hospital outpatients, these
procedures would not be able to be
shifted under the CJR model to the
outpatient setting.
Because most LEJR procedures are on
the OPPS inpatient list and CMS has,
therefore, determined that Medicare
beneficiaries require an inpatient
hospitalization for payment of these
procedures to hospitals, we are not
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changing the current inpatient only list
designation of these LEJR procedures for
the CJR model. CJR is an episode
payment model, not a model designed
to test different sites of services for
procedures that CMS has thus far
determined may not be safely performed
on Medicare beneficiaries in the
outpatient setting. Therefore, we are
finalizing our proposal that the CJR
model will continue to focus around an
inpatient hospitalization for these major
surgical procedures that result in a
discharge from MS–DRG 469 or 470,
and a procedure furnished in the
outpatient setting will not be included
in the model.
Comment: Several commenters
maintained that because the procedures
that result in discharge from MS–DRG
469 and 470 that define the clinical
conditions included in the CJR model
are on the OPPS inpatient only list,
CMS should commit to keeping these
procedures on the inpatient only list for
the 5-year performance period of the
model. The commenters pointed out
that CMS has previously proposed, but
not finalized, the removal of TKA
procedures from the inpatient only list.
The commenters stated that if any
additional procedures that would
otherwise result in discharge from one
of the two MS–DRGs in the CJR model
were to be removed from the inpatient
only list during a year when the CJR
model is being tested, the beneficiaries
who would be included in the model
performance year due to a procedure in
the inpatient hospital setting would be
sicker and more complex than those
included in the historical CJR episodes
used to set target prices. Therefore, the
commenters reasoned that in order to
establish target prices that reflect the
health care needs and medical
complexity of the CJR model
beneficiaries in a model performance
year, CMS should not remove any LEJR
procedures from the OPPS inpatient
only list until after the CJR model ends.
Response: We share the commenters’
interest in ensuring that the historical
CJR episodes that are used to set the
target prices for CJR model episodes
during a performance year reflect the
health care needs and medical
complexity of beneficiaries who are
comparable to those actually included
in the CJR model. If we were to remove
an LEJR procedure from the OPPS
inpatient only list at any point during
the 5-year model test, we agree with the
commenters that we would need to
consider the effects of such a change on
the CJR model pricing methodology,
taking into consideration the
characteristics of the beneficiaries
expected to be in the model due to a
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procedure furnished in the inpatient
hospital setting after the change to the
inpatient only list. If we concluded that
changes in our pricing methodology
were necessary because the beneficiaries
in the historical CJR episodes used to set
target prices would no longer be similar
to those in the model performance year,
we would propose such changes
through notice and comment
rulemaking.
Comment: Several commenters
claimed that different states were testing
different LEJR episode payment models.
A commenter provided the example of
Tennessee mandatory Medicaid bundles
that utilize a different episode definition
than proposed for the CJR model. The
commenters encouraged CMS to move
toward standard episode definitions for
mandatory models, noting that each of
the inconsistent mandatory models is
being tested under the Innovation
Center’s statutory authority. The
commenters contended that different
episode payment models lead to
excessive burden and greater cost for
health care providers.
Response: We appreciate the
perspective of the commenters on the
challenges related to testing mandatory
bundled payments with different
episode definitions in the same
community. We note, however, that the
CJR model and various state episode
payment models are all in various stages
of testing and have used different
strategies to arrive at the episode
definitions for each model. By
definition, models being tested have not
yet produced evidence of improved
quality and/or cost savings, so we lack
the necessary evaluation results from
various approaches to consider
standardizing episode definitions. We
believe there is value in testing different
episode definitions given the current
state of knowledge about bundled
payment. We also believe that,
regardless of the specific definitions for
episodes that address the same clinical
conditions in various different payment
models, episode payment models share
a common focus on improving the
quality of care and increasing the
efficiency of care through a variety of
well-established strategies, such as
increased communication among health
care providers along the continuum of
acute and PAC and improved care
coordination and care management to
promote beneficiary engagement that
leads to adherence to treatment plans
and, correspondingly, reductions in
hospital readmissions and
complications. As we gain more
experience with episode payment
models and examine their results, we
will consider the potential benefits of
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standardizing episode definitions to the
extent possible.
Summary of Final Decisions: After
consideration of the public comments
we received, we are finalizing our
proposal to define the clinical
conditions included in the CJR model
by admission to an IPPS hospital that
results in a discharge from MS–DRG 469
or 470.
The final policies for defining the
clinical conditions are set forth in
§ 510.100 and § 510.200.
b. Definition of Related Services
Included in the Episode
For purposes of this model, as in
BPCI, given the frequent comorbidities
experienced by Medicare beneficiaries
and the generally elective nature of
LEJR, we are interested in testing
inclusive episodes to incentivize
comprehensive, coordinated patientcentered care for the beneficiary
throughout the episode. We proposed to
exclude only those Medicare items and
services furnished during the episode
that are unrelated to LEJR procedures
based on clinical justification. During
our experience with BPCI
implementation, we reviewed a number
of narrow episode definitions for LEJR
episodes that were recommended by
BPCI participants and other interested
parties during the design phase for this
project. We concluded that these narrow
definitions commonly exclude many
services that may be linked to the LEJR,
as LEJR beneficiaries, on average, are at
higher risk for more clinical problems
than Medicare beneficiaries who have
not recently undergone such
procedures.
Therefore, we proposed that all CJR
episodes, beginning with the admission
for the anchor hospitalization under
MS–DRG 469 or 470 through the end of
the proposed episode, include all items
and services paid under Medicare Part
A or Part B with the exception of certain
exclusions that would be excluded
because they are unrelated to the
episode. The items and services
ultimately included in the episode after
the exclusions are applied are called
related items and services. As discussed
in sections III.C.4. and III.C.6. of this
final rule, Medicare spending for related
items and services would be included in
the historical data used to set target
prices, as well as in the calculation of
actual episode spending that would be
compared against the target price to
assess the performance of participant
hospitals. In contrast, Medicare
spending for unrelated items and
services (excluded from the episode
definition) would not be included in the
historical data used to set target prices
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or in the calculation of actual episode
spending.
We proposed that related items and
services included in CJR episodes
would be the following items and
services paid under Medicare Part A or
Part B, after the exclusions are applied:
• Physicians’ services.
• Inpatient hospital services
(including readmissions), with certain
exceptions discussed later in this
section.
• Inpatient psychiatric facility (IPF)
services.
• Long Term Care Hospital (LTCH)
services.
• IRF services.
• SNF services.
• HHA services.
• Hospital outpatient services.
• Independent outpatient therapy
services.
• Clinical laboratory services.
• Durable medical equipment (DME).
• Part B drugs.
• Hospice.
We noted that under our proposed
definition of related services included
in the episode, the episode could
include certain per-member-per-month
model payments, as discussed in section
III.C.7.d. of this final rule.
We proposed to exclude from CJR
drugs that are paid outside of the MS–
DRG, specifically hemophilia clotting
factors (§ 412.115), identified through
HCPCS code, diagnosis code, and
revenue center on IPPS claims.
Hemophilia clotting factors, in contrast
to other drugs that are administered
during an inpatient hospitalization and
paid through the MS–DRG, are paid
separately by Medicare in recognition
that clotting factors are costly and
essential to appropriate care for certain
beneficiaries. Thus, in the proposed rule
we stated our belief that there are no
efficiencies to be gained in the variable
use of these high cost drugs when
particular beneficiaries receive LEJR
procedures who have significantly
different medical needs for clotting
factors under an episode payment
model, so we proposed to exclude these
high cost drugs from the actual
historical episode expenditure data used
to set target prices and from the
hospital’s actual episode spending that
is reconciled to the target price.
Similarly, we proposed to exclude IPPS
new technology add-on payments for
drugs, technologies, and services from
CJR episodes, excluding them from both
the actual historical episode
expenditure data used to set target
prices and from the hospital’s actual
episode spending that is reconciled to
the target price. This proposal would
apply to both the anchor hospitalization
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and any related readmissions during the
episode. New technology add-on
payments are made separately and in
addition to the MS–DRG payment under
the IPPS for specific new drugs,
technologies, and services that
substantially improve the diagnosis or
treatment of Medicare beneficiaries and
would be inadequately paid otherwise
under the MS–DRG system. Medicare
pays a marginal cost factor of 50 percent
for the costs to hospitals of the new
drugs, technologies, or services. We did
not believe it would be appropriate for
the CJR model to potentially hamper
beneficiaries’ access to new
technologies that are receiving new
technology add-on payments or to
burden hospitals who choose to use
these new drugs, technologies, or
services with concern about these
payments counting toward actual
episode expenditures. In addition,
because new drugs, technologies, or
services approved for the add-on
payments vary unpredictably over time
in their application to specific clinical
conditions, in the proposed rule we
stated our belief that we should exclude
IPPS new technology add-on payments
from CJR episodes.
We followed a number of general
principles in determining other
proposed excluded services from the
CJR episodes in order to promote
coordinated, high-quality, patientcentered care. Based on the broad nature
of these episodes, we proposed to
identify excluded (unrelated) services
rather than included (related) services
based on the rationale that all Part A
and Part B services furnished during the
episode are related to the episode,
unless they are unrelated based on
clinical justification as described in
more detail later in this section. In
developing our proposals for exclusions
for this model, we stated our belief that
no Part A services, other than certain
excluded hospital readmissions during
the episode as described in this section,
furnished post-hospital discharge
during the episode should be excluded,
as post-hospital discharge Part A
services are typically intended to be
comprehensive in nature. We also stated
our belief that no claims for services
with diagnosis codes that are directly
related to the LEJR procedure itself (for
example, loosening of the joint
prosthesis) based on clinical judgment,
and taking into consideration coding
guidelines, should be excluded.
Furthermore, we stated our belief that
no claims for diagnoses that are related
to the quality and safety of care
furnished during the episode, especially
the anchor hospitalization under MS–
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DRG 469 or 470, should be excluded,
such as direct complications of postsurgical care during the anchor
hospitalization. Examples of diagnoses
that would not be excluded on this basis
include surgical site infection and
venous thromboembolism. Finally, in
the proposed rule we stated our belief
that no claims for services for diagnoses
that are related to preexisting chronic
conditions such as diabetes, which may
be affected by care furnished during the
episode, should be excluded. However,
severe exacerbations of chronic
conditions (for example, some surgical
readmissions) that are unlikely to be
affected by care furnished during the
episode should be excluded; thus, when
a beneficiary is admitted to the hospital
during the episode for these
circumstances, we would not consider it
to be a related readmission for purposes
of CJR. We also stated our belief that
services for clinical conditions that
represent acute clinical conditions not
arising from an existing chronic clinical
condition or complication of LEJR
surgery occurring during an episode of
care, which would not be covered by the
previous principles about included
services, should be excluded.
To operationalize these principles for
CJR, we proposed to exclude unrelated
inpatient hospital admissions during the
episode by identifying MS–DRGs for
exclusion. We proposed to exclude
unrelated Part B services based on the
ICD–9–CM diagnosis code (or their
International Classification of Diseases,
10th Revision, Clinical Modification
(ICD–10–CM) equivalents when ICD–
10–CM codes are implemented) that is
the principal diagnosis code reported on
claims for services furnished during the
episode. More specifically, we proposed
to exclude specific inpatient hospital
admissions and services consistent with
the LEJR episode definition (also
triggered by MS–DRGs 469 and 470) that
is currently used in BPCI Model 2. We
note that the list of exclusions was
initially developed over 2 years ago for
BPCI through a collaborative effort of
CMS staff, including physicians from
medical and surgical specialties, coding
experts, claims processing experts, and
health services researchers. The list has
been shared with thousands of entities
and individuals participating in one or
more phases of BPCI, and has
undergone refinement over that time in
response to stakeholder input about
specific diagnoses or MS–DRGs for
exclusion, resulting in only minimal
changes over the last 2 years. Thus, the
BPCI list of exclusions for LEJR
procedures has been vetted broadly in
the health care community; refined
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based on input from a wide variety of
providers, researchers and other
stakeholders; and successfully
operationalized in the BPCI models. We
proposed its use in CJR based on our
confidence related to our several of
years of experience that this definition
is reasonable and workable for LEJR
episodes, for both providers and CMS.
With respect to the proposed
inpatient hospital admission exclusions
for this model, we proposed that all
medical MS–DRGs for readmissions be
included in CJR episodes as related
services, with the exception of oncology
and trauma medical MS–DRGs. We
proposed that admissions for oncology
and trauma medical MS–DRGs be
excluded from CJR episodes.
Readmissions for medical MS–DRGs are
generally linked to the hospitalization
for the LEJR procedure as a
complication of the illness that led to
the surgery, a complication of treatment
or interactions with the health care
system, or a chronic illness that may
have been affected by the course of care.
We refer readers to section III.D. of this
final rule for background and discussion
of the complication rate measure
proposed for CJR that includes common
medical complications resulting from
the previously stated circumstances
following LEJR procedures and that may
result in related hospital readmissions.
For readmissions for medical MS–DRGs,
the selection of the primary diagnosis
code is not clear-cut, so in the proposed
rule we stated our belief that all should
be included because providers should
focus on comprehensive care for
beneficiaries during episodes. We
proposed to include all disease-related
surgical MS–DRGs for readmissions,
such as hip/knee revision, in CJR
episodes. We also proposed to include
readmissions for all body system-related
surgical MS–DRGs as they are generally
related to complications of the LEJR
procedures. An example of a
readmission of this type would be for an
inferior vena cava filter placement for
treatment of thromboembolic
complications of the LEJR. We proposed
to exclude hospital admissions for
chronic disease surgical MS–DRGs, such
as prostatectomy (removal of the
prostate gland), as they are unrelated to
the clinical condition that led to the
LEJR and they would not have been
precipitated by the LEJR. Finally, we
proposed that hospital admissions for
acute disease surgical MS–DRGs, such
as appendectomy, be excluded because
they are highly unlikely to be related to,
or precipitated by, LEJR procedures and
would not be affected by LEJR episode
care redesign.
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With respect to the LEJR proposed
diagnosis code exclusions for Part B
services for this model, we proposed
that ICD–9–CM codes be excluded or
included as a category and as identified
by code ranges. We proposed that
disease-related diagnoses, such as
osteoarthritis of the hip or knee, are
included. We also proposed that body
system-related diagnoses are included
because they relate to complications
that may arise from interactions with
the health care system. An example of
this would be pressure pre-ulcer skin
changes. Additionally, we proposed that
all common symptom diagnoses are
included because providers have
significant discretion to select these as
principal diagnosis codes. We proposed
that acute disease diagnoses, such as
severe head injury, are excluded.
Finally, we proposed that chronic
disease diagnoses be included or
excluded based on specific clinical and
coding judgment as described
previously with respect to the original
development of the exclusions for LEJR
episodes under BPCI, taking into
consideration whether the condition
was likely to have been affected by the
LEJR procedure and recovery period and
whether substantial services were likely
to have been provided for the chronic
condition during the episode. Thus,
chronic kidney disease and cirrhosis
would be included in the episode, but
glaucoma and chemotherapy would be
excluded.
Proposed exclusions from CJR
episodes were based on care for
unrelated clinical conditions
represented by MS–DRGs for
readmissions during the episode and
ICD–9 CM codes for Part B services
furnished during the episode after
discharge from the anchor
hospitalization. The complete lists of
proposed excluded MS–DRGs for
readmissions and proposed excluded
ICD–9–CM codes for Part B services are
posted on the CMS Web site at https://
innovation.cms.gov/initiatives/cjr/.
In the proposed rule, we noted that as
CMS moves to implement ICD–10–CM
we would make the CJR exclusions that
would map to the final ICD–9–CM
exclusions for CJR available in the ICD–
10–CM format as well. We proposed
that all Part A and B-covered items and
services that would not be excluded
based on the exclusions list are
included in the episode. Furthermore,
we proposed to update the exclusions
list without rulemaking on an annual
basis, at a minimum, to reflect annual
changes to ICD–CM coding and annual
changes to the MS–DRGs under the
IPPS, as well as to address any other
issues that are brought to our attention
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by the public throughout the course of
the model test.
We would first develop potential
exclusions list revisions of MS–DRGs
for readmissions and ICD–9–CM (or
ICD–10–CM, as applicable) diagnosis
codes for Part B services based on our
assessment against the following
standards:
• We would not exclude any items or
services that are—
++ Directly related to the LEJR
procedure itself (such as loosening of
the joint prosthesis) or the quality or
safety of LEJR care (such as post-surgical
wound infection or venous
thromboembolism); and
++ For chronic conditions that may
be affected by the LEJR procedure or
post-surgical care (such as diabetes). By
this we mean that where a beneficiary’s
underlying chronic condition would be
affected by the LEJR procedure, or
where the beneficiary’s LEJR or postLEJR care must be managed differently
as a result of the chronic condition, then
those items and services would be
related and would be included in the
episode.
• We would exclude items and
services for—
++ Chronic conditions that are
generally not affected by the LEJR
procedure or post-surgical care (such as
removal of the prostate). By this we
mean that where a beneficiary’s
underlying chronic condition would not
be affected by the LEJR procedure, or
where the beneficiary’s LEJR or postLEJR care need not be managed
differently as a result of the chronic
condition, then those items and services
would not be related and would not be
included in the episode; and
++ Acute clinical conditions not
arising from existing episode-related
chronic clinical conditions or
complications of LEJR surgery from the
episode (such as appendectomy).
We proposed to post the potential
revised exclusions, which could include
additions to or deletions from the
exclusions list, to the CMS Web site to
allow for public input on our planned
application of these standards, and then
adopt changes to the exclusions list
with posting to the CMS Web site of the
final revised exclusions list after our
consideration of the public input.
We sought comment on our proposals
for identifying excluded readmissions
and Part B-covered items and services,
as well as our proposed process for
updating the exclusions list.
The following is a summary of the
comments received and our responses.
Comment: Several commenters
recommended that CMS clarify the
proposal that named ‘‘independent
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outpatient therapy services’’ in the
episode definition list of related Part A
and Part B services included in the
episode. The commenters pointed out
that while this list specified
‘‘independent outpatient therapy
services,’’ which would appear to only
represent services furnished by
therapists in private practices included
in CMS data under certain supplier
specialty codes, the commenters believe
that CMS should refer to the services as
outpatient therapy services in order to
include all outpatient physical therapy,
occupational therapy, and speechlanguage pathology therapy services in
the definition of related Part A and Part
B services included in the episode. The
commenters noted that in the proposed
rule discussion of CJR collaborators
CMS referred to financial arrangements
with outpatient therapy providers, a
category of providers that was not
defined in the proposed rule and has
not otherwise been previously defined
in the Medicare program. Therefore, the
commenters recommended that CMS
define outpatient therapy providers in
regulation in the CJR final rule as a
physician, supplier, or provider
furnishing outpatient physician therapy
services, outpatient occupational
therapy services, or outpatient speechlanguage pathology services. The
commenters suggested that CMS should
then clarify that services furnished by
these outpatient therapy providers
(outpatient therapy services) would be
included in the episode definition,
thereby including these payments in the
CJR historical episode data used to set
target prices and in the calculation of
actual episode spending that would be
compared against the target price.
Response: We agree with the
commenters’ suggestion that we define
outpatient therapy providers in
regulation to ensure consistent and
accurate reference to certain providers
and services under the CJR model, and
that we should include services
furnished by outpatient therapy
providers as related services in the CJR
model after the exclusions are applied.
Therefore, we are adding the following
new definition to § 510.2: Provider of
outpatient therapy services means a
provider or supplier furnishing—(1)
Outpatient physical therapy services as
defined in 410.60 of this chapter, or (2)
outpatient occupational therapy services
as defined in 410.59 of this chapter, or
(3) outpatient speech-language
pathology services as defined in 410.62
of this chapter. We are also revising
§ 510.200(b)(10) to remove the word
‘‘independent’’ preceding outpatient
therapy services.
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Comment: Several commenters
recommended that CMS add to the list
of related services included in CJR
model episodes drugs covered under
Medicare Part D. The commenters
asserted that Part D-covered drugs make
important contributions to beneficiary
health, especially for beneficiaries with
chronic medical conditions and,
therefore, should be included in a
broadly defined episode payment model
such as the CJR model to provide
opportunities for improved quality and
efficiency of care for beneficiaries.
Response: We appreciate the interest
expressed by the commenters in
including drugs covered under Part D in
the LEJR episode definition used for the
CJR model. However, while we agree
with the commenters that the
appropriate use of Part D-covered drugs
can play an important role in improving
a beneficiary’s health, we will not be
expanding our list of Part A and Part B
items and services related to the episode
to add Part D-covered drugs. We
proposed to require all beneficiaries
included in the CJR model to have both
Part A and Part B coverage throughout
the duration of the episode in order to
ensure we had comprehensive episode
payment data to calculate actual episode
spending to be compared against the
target price. However, enrollment in
Part D is voluntary and a substantial
percentage of Medicare beneficiaries do
not have Part D coverage, so we would
lack comprehensive payment
information for all beneficiaries in the
model in order to determine an episode
target price and calculate actual episode
spending. In addition, beneficiaryspecific information about Part D drug
spending that could be attributed to
episodes would not be available in a
timeframe consistent with the time
periods for claims used to set target
prices and the timeline for
reconciliation where actual episode
spending is aggregated and compared
against the target price. Finally, given
that the CJR model is testing LEJR
episodes, we believe there is limited
opportunity to shift spending from Part
B to Part D to reduce actual episode
spending, even though we have not
included Part D payments in the
episode definition. Most beneficiaries
with chronic conditions would be
taking similar drugs before and during
the episode, and, other than pain
medications, Part D-covered drugs are
not commonly used to manage the
direct post-surgical and PAC
rehabilitation needs of most LEJR
beneficiaries, who rarely experience
significant complications from the
surgery. Therefore, we are finalizing our
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proposal to not include all Part Dcovered drugs from the list of related
items and services included in CJR
episodes.
Comment: Several commenters
recommended that CMS exclude
Inpatient Psychiatric Facility (IPF)
services from CJR episodes because they
would be unlikely to be related to the
LEJR procedure. The commenters
suggested that the services are always
medically necessary with no
opportunities for efficiency and would
be more likely to be associated with
injury that led to the need for LEJR
procedure, rather than related to the
surgical procedure or recovery. Several
commenters stated that CMS should
exclude these services from the episode
definition because they were excluded
under LEJR episodes in BPCI. Another
commenter suggested that CMS exclude
IPF services furnished more than 14
days after surgery because after than
point, the commenter believes these
services would be unlikely to be related
to the surgery or recovery.
Response: We are clarifying that
under BPCI, IPF services furnished
following discharge from the LEJR
episode anchor hospitalization but
during the episode are included in the
LEJR episode definition, unless they fall
into one of the excluded MS–DRGs.
Thus, we include inpatient psychiatric
services whether paid under the IPPS or
the IPF PPS in LEJR episodes under
BPCI according to the same policy that
would exclude readmissions paid under
either payment system based on the
same exclusion list. We see no reason
under the CJR model not to apply the
standard we proposed to define related
and unrelated Part A and Part B services
with respect to CJR episodes. Therefore,
we believe the list of excluded MS–
DRGs identifies those IPF admissions
during the episode that would be
clinically unrelated to the LEJR episode
so we exclude them from the episode
definition, whereas IPF services any
time during a CJR episode that result in
discharge from an MS–DRG that is not
excluded would be related and included
in the CJR model episode definition. We
disagree with the commenter that all IPF
services furnished more than 14 days
after surgery are unlikely to be related
to the LEJR procedure or complications
of the procedure or to a chronic
condition that must be managed
differently as a result of the procedure.
Regardless of the time IPF services are
furnished following discharge from the
anchor hospitalization, we believe the
MS–DRG exclusions identify those
circumstances when IPF services are
unrelated to the CJR model episode.
Therefore, consistent with the BPCI
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policy, we are finalizing our proposal to
include IPF services in the CJR model
episode definition when they are
assigned to an MS–DRG that is not
excluded from episode definition.
Comment: Several commenters
commended CMS for proposing to
include hospice services in the episode
definition for the CJR model, which
provides recognition of hospice services
as an essential element of the health
care continuum. They stated that they
looked forward to CMS sharing data
resulting from the model that provides
insight into the impact of incorporating
hospice as part of a bundled care model
and coordinated approach to posthospital care. However, the commenters
asserted that generally hospice services
would be unrelated to the LEJR episode
because they would most commonly
address a serious and unanticipated
complication of surgery or the
hospitalization, discovery during or
immediately after the surgery of a
previously undetected terminal
prognosis, or an unrelated accident
following the procedure. While
acknowledging that some hospice
services would be related to the LEJR
episode under uncommon
circumstances, the commenters
encouraged CMS to include in the final
rule the process that would be used to
identify included and excluded hospice
services from CJR episodes. The
commenters urged CMS to further
describe its rationale for including
hospice services in the episode
definition, and supply data that relates
to hospice services and the CJR model.
Finally the commenters recommended
that CMS establish a data acquisition
system on hospice use in the final
model. Some commenters expressed
confusion about CMS’ proposal to
include hospice services in the episode
definition and inquired about whether
CMS intended to include all hospice
services or to exclude certain hospice
services as unrelated to the LEJR
episode according to the beneficiary’s
diagnosis.
A number of other commenters
recommended that CMS exclude all
hospice services from the CJR episode
definition, except for the post-episode
spending calculation that analyzes all
Part A and Part B spending for model
beneficiaries, both for consistency with
BPCI and to ensure no incentives for
underutilization of the hospice benefit
were created by the CJR model. The
commenters asserted that all hospice
services were unrelated to the LEJR
episode, and encouraged CMS to
exclude hospice services in order to
ensure timely access to hospice for CJR
model beneficiaries.
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Response: We appreciate the interest
of the commenters in ensuring
continuing beneficiary access to hospice
services under the CJR model. We note
that while we exclude all hospice
services under BPCI, our proposal for
the CJR model would exclude no
hospice services. Specifically, we
proposed no exclusions of Part A
services furnished during the 90 day
period after discharge from the anchor
hospitalization other than certain
hospital readmissions identified by
excluded MS–DRGs. We understand
that CJR model beneficiaries could
receive hospice services during an
episode under several different types of
clinical circumstances. For example, the
beneficiary could be enrolled in hospice
prior to the LEJR episode, experience a
pathologic hip fracture, and require
THA to stabilize the beneficiary’s hip.
Alternatively, the beneficiary could
have an LEJR procedure and enter into
hospice at some point during the
episode in the 90 days following
discharge from the anchor
hospitalization, either after experiencing
a surgical complication leading to a
terminal prognosis or based on a new
diagnosis of a terminal stage of an
illness. We note that given the presurgical screening that patients must
undergo before an LEJR procedure, it
would be rare for a new diagnosis that
would render the patient terminally ill
to occur within 3 months after the LEJR
procedure that was not already
identified during the pre-surgical
screening process.
Medicare hospice care is palliative
care for individuals with a prognosis of
living 6 months or less if the terminal
illness runs its normal course. As
referenced in § 418.22(b)(1), to be
eligible for Medicare hospice services,
the patient’s attending physician (if any)
and the hospice medical director must
certify that the individual is ‘‘terminally
ill,’’ as defined in section 1861(dd)(3)(A)
of the Act and our regulations at § 418.3
that is, the individual’s prognosis is for
a life expectancy of 6 months or less if
the terminal illness runs its normal
course. When an individual is
terminally ill, many health problems are
brought on by underlying condition(s),
as bodily systems are interdependent.
Section 1861(dd)(1) of the Act
establishes the services that are to be
rendered by a Medicare certified
hospice program and those services
include: nursing care; physical therapy;
occupational therapy; speech-language
pathology therapy; medical social
services; home health aide services
(now called hospice aide services);
physician services; homemaker services;
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medical supplies (including drugs and
biologics); medical appliances;
counseling services (including dietary
counseling); short-term inpatient care
(including both respite care and care
necessary for pain control and acute or
chronic symptom management) in a
hospital, nursing facility, or hospice
inpatient facility; continuous home care
during periods of crisis and only as
necessary to maintain the terminally ill
individual at home; and any other item
or service which is specified in the plan
of care and for which payment may
otherwise be made under Medicare, in
accordance with Title XVIII of the Act.
The services offered under the Medicare
hospice benefit must be available, as
needed, to beneficiaries 24 hours a day,
7 days a week (section 1861(dd)(2)(A)(i)
of the Act).
The regulations at § 418.54(c)
stipulate that the comprehensive
hospice assessment must identify the
patient’s physical, psychosocial,
emotional, and spiritual needs related to
the terminal illness and related
conditions, and address those needs in
order to promote the hospice patient’s
well-being, comfort, and dignity. The
comprehensive assessment must take
into consideration the following factors:
The nature and condition causing
admission (including the presence or
lack of objective data and subjective
complaints); complications and risk
factors that affect care planning;
functional status; imminence of death;
and severity of symptoms (§ 418.54(c)).
Additionally, the hospice CoPs at
§ 418.56(c) require that the hospice must
provide all reasonable and necessary
services for the palliation and
management of the terminal illness,
related conditions and interventions to
manage pain and symptoms. Therapy
and interventions must be assessed and
managed in terms of providing
palliation and comfort without undue
symptom burden for the hospice patient
or family. In the December 16, 1983
Hospice final rule (48 FR 56010 through
56011), regarding what is related versus
unrelated to the terminal illness, we
stated: ‘‘. . . we believe that the unique
physical condition of each terminally ill
individual makes it necessary for these
decisions to be made on a case–by-case
basis. It is our general view that
hospices are required to provide
virtually all the care that is needed by
terminally ill patients.’’
Thus, hospice services furnished to
CJR model beneficiaries should be
included in the episode definition for
the CJR model, regardless of the specific
diagnosis of the beneficiary, because
hospices are to provide virtually all care
that is needed by terminally ill patients.
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If a CJR beneficiary was receiving
hospice services during an episode,
either because the beneficiary was
enrolled in hospice prior to surgery and
continued in hospice following surgery
or the beneficiary enrolled in hospice
following surgery that initiated the CJR
model episode, we believe that hospice
services would encompass care related
to the LEJR episode and should,
therefore, be included in the episode
definition. As previously noted, given
the comprehensive nature of the hospice
benefit and the fact that body systems
are interdependent at end of life,
virtually all care needed by the
terminally-ill individual would be
related to the terminal prognosis and
thus the responsibility of the hospice.
As previously noted, hospices are
required, per the Hospice CoPs at
§ 418.56(c), to provide all reasonable
and necessary services for the palliation
and management of the terminal illness,
related conditions, and interventions to
manage pain and symptoms. For
patients that underwent LEJR
procedures as part of the CJR model that
have also elected the Medicare hospice
benefit, hospice services would need to
adapt and respond to the care needs of
the CJR beneficiary following surgery.
As in the case of other medically
necessary services that would improve a
beneficiary’s quality of care and quality
of life, we expect that CJR model
beneficiaries will receive clinically
appropriate referrals to hospice in a
timely manner. Furthermore, we also
believe hospice services could
contribute to episode efficiency through
improved comprehensive care
coordination and management for CJR
model beneficiaries that have a terminal
prognosis. As previously stated,
hospices are required to provide
comprehensive care coordination and
management per the hospice CoPs at
418.56. As discussed in sections III.F.3.
and 5. of this final rule, we will be
monitoring for access to care and
delayed care and will take actions as
described if problems are found.
Therefore, we are finalizing our
proposal to include hospice services in
the CJR model episode definition.
With regard to the commenters’
request for data regarding hospice use
and the CJR model, we note that the
evaluation approach described in IV.D.
of this final rule will yield utilization
information on CJR beneficiaries’
episodes for specific types of providers
and services. As discussed in section
IV.E. of this final rule, we plan to
evaluate the CJR model on an annual
basis and release internal periodic
summaries to offer useful insight, with
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a final analysis after the end of the 5year performance period. Finally, we
plan to make available to participant
hospitals upon their request periodic
summary claims data reports or raw
claims data, including payment
information, using type of service
categories that including hospice. We
refer readers to section III.E.2. of this
final rule for a more detailed discussion
of the plans for sharing data under the
CJR model.
Comment: Several commenters
requested that CMS exclude prosthetic
limbs, orthopedic braces, and
customized durable medical equipment
(DME) from the related services
included in CJR model episodes. The
commenters stated that these
uncommonly furnished items were at
risk of not being provided to CJR model
beneficiaries, and provided historical
example of access problems during
implementation of the SNF PPS that
eventually resulted in some HCPCS
codes for these items being exempted
from SNF consolidated billing. Another
commenter requested clarification about
included services with respect to the
definition of DME. The commenter
expressed its belief that there would be
no need for verification by CMS or its
contractors about coverage of DME as
CMS would be making a single episode
payment to hospitals. The commenter
sought clarification that devices that
would usually be paid for under the
MS–DRG payment should be able to be
used in the CJR beneficiary’s home.
Response: While some commenters
recommended that we exclude
altogether certain prosthetics, braces,
and customized DME from the episode
definition under the CJR model, we
believe that our Part B ICD–9–CM (or
equivalent ICD–10–CM) diagnosis code
exclusions will allow these items to be
excluded when they are unrelated to the
episode., both in determining historical
CJR episode payments used to set the
target price and in calculating actual
episode spending during the model
performance years Just as for other Part
B services, when the primary ICD–9–CM
(or equivalent ICD–10–CM) diagnosis
code on the claim for the item is not
excluded, the prosthetics, orthopedic
braces, and customized DME will be
included in the CJR episode. Because
we will identify unrelated items when
they are furnished, and the Medicare
payment for those items will not be
included in calculating the actual
episode spending, we believe that CJR
model beneficiaries will continue to
have access to these items when they
are furnished for unrelated diagnoses on
the Part B ICD–10–CM diagnosis code
exclusions list. With regard to the
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commenter who discussed a single
payment by CMS to hospitals for the
episode, we want to emphasize that this
is a retrospective payment model and,
thus, payments for all covered items and
services will continue to be made under
the usual Medicare program rules to all
providers and suppliers furnishing
services to CJR model beneficiaries,
unless we have specifically waived
certain Medicare program rules under
the CJR model. We refer readers to
section III.C.11. of this final rule for
further discussion of waivers of
Medicare program rules, but note that
we have waived no existing
requirements or conditions about DME.
All existing program rules for coverage
and payment of DME continue to apply.
Therefore, we are finalizing our
proposal to include DME in the CJR
model episode definition, after
application of the exclusions.
Comment: A number of commenters
commended CMS on the proposal to
exclude IPPS new technology add-on
payments from the CJR model episode
definition, as well as hemophilia
clotting agents furnished to hospital
inpatients. The commenters believe
these policies will ensure access to
these important treatments for CJR
model beneficiaries who would benefit
from them. Several commenters
suggested that CMS also exclude from
the CJR model episode definition OPPS
transitional pass-through payments for
devices, which are paid separately for a
limited period of time based on their
increased cost over existing
technologies and evidence that they are
a substantial clinical improvement, for
consistency with CMS’ proposed
treatment of IPPS new technology addon payments which accomplish the
same objective for hospital inpatients.
Other commenters recommended that
CMS exclude other innovative
technologies from the episode definition
by establishing a review process to see
if their cost should be removed from CJR
episode spending to ensure that the
financial incentives under the CJR
episode payment model did not
discourage appropriate use of new
technologies for CJR model beneficiaries
who would benefit from them. These
commenters stated that such a policy
would ensure that beneficiaries in the
CJR model have access to beneficial new
technologies that otherwise might be
limited because of participant hospitals’
concerns over providing items and
services that would increase actual
episode spending. A commenter,
arguing in support of CMS’ proposal to
exclude IPPS new technology add-on
payments from the episode definition,
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suggested that CMS analyze Hospital
Consumer Assessment of Healthcare
Providers and Systems (HCAHPS) data
to see if customized joints correlated
with HCAHPS scores under the model.
Response: We agree with the
commenters that CJR model
beneficiaries should have access to
beneficial new technologies while they
are in CJR episodes. We do not believe
it would be appropriate for the CJR
model to potentially hamper
beneficiaries’ access to new
technologies that are receiving IPPS new
technology add-on payments or to
burden hospitals who choose to use
these new drugs, technologies, or
services with concern about these
payments counting toward actual
episode expenditures. We also agree
with the commenters’ recommendation
that we should exclude OPPS passthrough payments for medical devices
from the episode definition for the same
reasons we proposed to exclude IPPS
new technology add-on payments. In
both of these cases, through the
established OPPS and IPPS review
processes, we have determined that
these technologies have a substantial
cost but also lead to substantial clinical
improvement for beneficiaries.
Therefore, we are finalizing our
proposal to exclude from the CJR
episode definition IPPS new technology
add-on payments and hemophilia
clotting factors paid separately during
an inpatient hospitalization. In addition,
we are modifying our proposal and will
exclude OPPS transitional pass-through
payments for medical devices from the
CJR model episode definition and price
determinations.
We will not establish a new process
to review innovative technologies and
make individual determinations
regarding their exclusion from the CJR
model episode definition, as
recommended by some commenters.
Because the CJR model is a retrospective
reconciliation model that pays all
providers and suppliers under the
regular Medicare program throughout
the episode of care, we believe it is more
appropriate to rely on the existing
processes under the Medicare program
to make determinations about separate
payment for new technology items and
services. If those existing processes
identify new technologies that would
qualify for add-on payments under the
IPPS or transitional pass-through
payment under the OPPS, we will
exclude them from the CJR model
episode definition to ensure that access
to new technology items and services
for beneficiaries is not influenced by
their care being include in the CJR
model. We note that the evaluation
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approach for the model as discussed in
section IV. of this final rule will analyze
a variety of information about the model
to draw conclusions about its effects on
quality and cost but is not designed to
examine patient experience as related to
specific items or services furnished
during the episode.
Comment: Most commenters
expressed support for CMS’ proposed
episode definition that would exclude
certain readmissions based on a list of
MS–DRGs, as well as certain Part B
services based on the principal
diagnosis on the claim, consistent with
the episode definition for LEJR episodes
under BPCI that has been used for
several years. The commenters
acknowledged that most services would
be included in the episode definition
under the proposal, thus creating
broadly defined episodes that should
lead to comprehensive care for
beneficiaries following LEJR procedures.
A number of commenters characterized
the proposed episode definition as
clinically reasonable and agreed with
the proposed lists of services that would
be excluded. A commenter claimed that
the proposed episode definition would
encourage the integration of postfracture care coordination, such as
could be provided through a fracture
liaison service, with acute care for CJR
model beneficiaries with hip fractures,
leading to improved outcomes.
However, some commenters expressed
general concern about CMS’ proposal to
hold participant hospitals financially
accountable for these broadly defined
episodes, especially as CMS did not
propose to risk adjust target prices for
the episodes to reflect beneficiaries’
chronic conditions.
Several commenters suggested that
CMS adopt an episode definition for the
CJR model that is flexible and
condition-specific. A commenter
questioned the role of the beneficiary’s
health care provider in evaluating
relatedness to the episode under the
proposal and recommended that CMS
permit the beneficiary’s health care
provider to make determinations of
relatedness of services to the episode on
a case-by case basis specific to a
beneficiary’s unique clinical condition.
A few commenters suggested that CMS’
proposed episode definition was more
consistent with a total cost of care
model by including beneficiaries with
chronic conditions and excluding so
few services. These commenters stated
that if CMS finalizes such a broad
definition, risk adjustment would be
necessary in order to ensure fair
payment to participant hospitals. Some
commenters contended that CMS
should include in the episode definition
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only services that are directly related to
the procedure and complications for
which the hospital could be held
accountable. In the view of some
commenters, CMS should exclude all
chronic conditions from the episode
definition, especially when the LEJR
episode is unavoidable, such as in
trauma cases. Examples provided by
commenters of chronic conditions that
should be excluded include diabetes
and renal failure. Other commenters
recommended that CMS only exclude
care for unrelated chronic conditions
and acute medical conditions such as
urinary tract infection and dehydration
occurring later than 30 days following
discharge from the anchor
hospitalization or otherwise shorten the
episode duration of the model to 30
days. They claimed that holding the
participant hospital accountable
through the episode definition for
chronic conditions two months after
surgery is unfair. A commenter
recommended that CMS include all
readmissions for the first 30 days
following discharge from the anchor
hospitalization and thereafter only those
hospital readmissions for the
subsequent 60 days that are directly
related to the LEJR procedures. Overall,
a number of commenters expressed
concern that unless CMS narrowed the
proposed CJR model episode definition
to exclude more services or diagnoses or
shortened the episode duration,
hospitals may be more cautious about
treating patients with complex medical
status, especially if CMS also does not
risk adjust the target prices for the
episode based on beneficiary
characteristics and specific procedures.
A commenter stated that the proposed
episode definition was not sufficiently
broad for frail patients, especially those
with multiple illnesses who may have
had a hip fracture. The commenter
contended that providers should be paid
to provide comprehensive care and treat
the whole person, who can have many
different types of interrelated health
care needs when he or she is acutely ill
due to a hip fracture in the face of
serious underlying chronic conditions.
The commenter stated that the CJR
model would contribute to the
fracturing of comprehensive care for
vulnerable beneficiaries by excluding
some services from the episode
definition, even if those services are for
clinical conditions that appear to be
clinically unrelated to the LEJR episode,
and claimed that the solution to this
challenge is moving people with
complex medical needs into a patientcentered medical home or
comprehensive ACO. The commenter
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stressed that any existing medical home
or ACO arrangements that apply to CJR
model beneficiaries should be respected
by the participant hospital managing the
CJR episode, so as to not disrupt or
otherwise interfere with comprehensive
care for beneficiaries with complex
medical needs.
Response: We appreciate the support
of many commenters for our proposed
overall approach of identifying
excluded services by MS–DRGs for
hospital readmissions and ICD–9–CM
(or equivalent ICD–10–CM) diagnosis
codes for Part B services for LEJR
episodes that are broadly inclusive of
related services. Because the
methodology for setting episode prices
as discussed in section III.C. of this final
rule requires the construction of
historical CJR episodes upon which to
base target prices that are then
compared with actual episode payment
during each performance year of the
model, we must use a standard episode
definition for the CJR model to ensure
comparability of services included in
the episode in the historical CJR episode
data and the model performance year.
Thus, we are unable to adopt the
suggestions of commenters that the CJR
model episode definition be flexible or
that health care providers make serviceby-service determinations of relatedness
for individual beneficiaries.
As discussed in the proposed rule and
confirmed by the commenters,
beneficiaries undergoing LEJR
procedures have frequent comorbidities
where their management may be
affected by the surgery and postoperative recovery period. We do not
believe it would be appropriate given
the frequent comorbidities experienced
by Medicare beneficiaries and the
generally elective nature of LEJR to
utilize a narrow episode definition for
CJR that includes only those services
directly related to the LEJR procedure or
the quality or safety of the LEJR care, as
we are interested in testing inclusive
episodes to incentivize comprehensive,
coordinated patient-centered care for
the beneficiary throughout the episode.
The care for many chronic conditions
and the development of acute medical
conditions may be affected by the LEJR
procedure or post-surgical care
throughout the post-surgical recovery
period that extends significantly beyond
30 days following hospital discharge, a
point in time where beneficiaries are
usually still receiving PAC services,
often including SNF services, and have
not returned to their level of presurgical
function. Therefore, we do not believe it
would be appropriate to define services
for chronic conditions and acute
medical conditions as related to the CJR
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model episode for 30 days postdischarge from the anchor
hospitalization, and unrelated for the
remaining 60 days in the episode. We
believe that care for chronic medical
conditions affected by the LEJR
procedure or post-surgical care is
related to the episode for the full
episode duration because the care for
these conditions is likely to be affected
by the procedure and associated
recovery for 90 days post-hospital
discharge or even longer as the
beneficiary recovers function over the
course of the episode and returns to the
community. We note that we have
finalized several waivers of Medicare
program rules as discussed in section
III.C.11. of this final rule specifically to
assist participant hospitals in efficient
and effective care coordination and care
management for CJR beneficiaries with
significant, ongoing health needs,
including chronic medical conditions
whose care may be affected by the LEJR
procedure and post-surgical recovery.
Thus, we will exclude only those
Medicare Part A and B-covered items
and services furnished during the
episode that are unrelated to LEJR
procedures based on clinical
justification, and the exclusions will
apply throughout the episode duration.
Finally, we believe that the payment
policies of the model as described in
sections III.C.3.c. and III.C.8. of this
final rule to adjust pricing for high
payment episodes and to provide stoploss limits provide sufficient protections
for participant hospitals from excessive
financial responsibility for high
payment cases that may result from the
broad episode definition adopted for the
model. We expect that participant
hospitals, with responsibility for the
quality and cost performance of CJR
model episodes, will work closely with
all providers, suppliers, and
organizations engaged in the care of
model beneficiaries, in order to ensure
that efficient, coordinated care is
furnished to the beneficiary.
We appreciate the concerns expressed
by commenters about holding
participant hospitals financially
responsible for broad LEJR episodes
extending 90 days post-discharge from
the anchor hospitalization. We note that
we are finalizing 90 days post-discharge
from the anchor hospitalization as we
proposed for the reasons discussed later
in this section. Additionally, we refer
readers to section III.C.4.b. of this final
rule for the final policy that will risk
stratify the target prices based on the
presence or absence of a hip fracture for
CJR model beneficiaries. We believe that
this risk stratification policy addresses
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the commenters’ concerns that
beneficiaries with chronic conditions
are likely to need more costly care
throughout the CJR model episode that
would have been inadequately paid
under our proposal because these
beneficiaries are those most likely to be
present in the population receiving LEJR
procedures emergently due to a hip
fracture. Beneficiaries with chronic
conditions are more likely to initiate
CJR episodes due to hip fracture than
beneficiaries without chronic condition
who more likely undergo elective THA
or TKA, so the typically higher
historical spending for chronically ill
beneficiaries will be reflected in the
historical CJR episodes used to risk
stratify target prices for hip fracture
patients. In contrast, beneficiaries
undergoing elective THA or TKA are
less likely to have chronic conditions,
so their typically lower historical
spending will be reflected in the
historical CJR episodes used to risk
stratify target prices for LEJR patients
without hip fracture. Thus, risk
stratification of target prices based on a
beneficiary’s hip fracture status should
account for patient-specific expenditure
variation both directly resulting from
more intense care due to the hip fracture
itself, as well as indirectly resulting
from the higher prevalence of chronic
conditions that must be treated and
managed in beneficiaries with hip
fracture. We also believe that risk
stratification based on a model
beneficiary’s hip fracture status will
help to ensure that participant hospitals
continue to treat these medically
complex patients because target prices
for these episodes will reflect the more
costly care that these beneficiaries are
likely to require based on historical
experience.
Additionally, while we agree with the
commenter that the ongoing and acute
health care needs of medically complex
beneficiaries may be addressed through
a patient-centered medical home or
ACO, many of these vulnerable
beneficiaries currently are not included
in such models or programs. In the case
of other beneficiaries who are included
in medical home or ACO models or
programs, they may have specific, new
care management needs arising from an
LEJR procedure that may be best
managed by the participant hospital that
has substantial expertise in coordinating
and managing care throughout LEJR
episodes because of the hospital’s
participation in the CJR model, while
the ACO or patient-centered medical
home may have less specific expertise
in managing beneficiaries recovering
from major orthopedic surgery. We
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expect that participant hospitals,
accountable for LEJR episode quality
and cost performance under this model,
will work closely with all providers and
other organizations with which a model
beneficiary has established
relationships, toward the mutual goal of
high quality, well-coordinated care that
maximizes the rate of a beneficiary’s
return of function following surgery.
We are finalizing our proposal to
include all Medicare Part A and B items
and services in the CJR model episode
definition, except for excluded services
identified by the CJR model exclusions
list, with modification to additionally
exclude OPPS transitional pass-through
payments for devices.
Comment: Many commenters
expressed support for CMS’ proposed
approach to identifying excluded
services by MS–DRGs for readmissions
and ICD–9–CM diagnosis codes on Part
B claims. Some commenters suggested
that CMS consider additional coding
sources beyond ICD–9–CM diagnosis
codes to identify exclusions by adding
ICD–9–CM procedure codes and HCPCS
and/or CPT codes to the list of Part B
exclusions.
Response: We appreciate the
commenters’ support for our proposal.
We note that we have successfully used
our current approach to identify
excluded services for 48 clinical
episodes under BPCI Models 2, 3, and
4 for several years. We will consider
whether supplementing our current
approach to identifying excluded
services with additional coding
strategies could help us more accurately
identify unrelated services as we review
future stakeholder input about the CJR
model episode definition. We would
need to also take into consideration the
current coding requirements for
different Part A and Part B services in
assessing the potential benefit of
supplementing our existing approaches
to identifying excluded services. We
would address any changes to the
current CJR model approach to
identifying excluded services through
rulemaking. Therefore, we are finalizing
our proposal to identify CJR model
excluded services by MS–DRGs for
readmissions and ICD–9–CM (or
equivalent ICD–10–CM) diagnosis codes
for Part B services.
Comment: A number of commenters
provided their perspective on certain
specific proposed related services and
exclusion. Several commenters
expressed support for CMS’ proposal to
exclude readmissions for trauma
medical and oncology MS–DRGs from
the CJR episode definition. The
commenters agreed with CMS that
readmissions during LEJR episodes for
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the clinical conditions that would result
in discharge from trauma medical or
oncology MS–DRGs would be clinically
unrelated to the LEJR episode. A
commenter recommended that CMS
exclude rheumatoid arthritis care from
the LEJR episode definition. While the
commenter pointed out that rheumatoid
arthritis can result in the need for LEJR
procedures, the commenter observed
that including treatment for rheumatoid
arthritis in the episode would result in
the accompanying high payments for
this care being included in actual
episode spending. The commenter
stated that the high costs of treatment
could either affect a beneficiary’s
treatment for rheumatoid arthritis
during the CJR model episode or reduce
the beneficiary’s access to a medically
necessary joint replacement. Several
commenters recommended that CMS
exclude services for which beneficiary
claims data are not made available,
specifically those subject to the
regulations governing the
confidentiality of alcohol and drug
abuse patient records (42 Code of
Federal Regulations (CFR) part 2). Other
commenters suggested that CMS
exclude elective surgery during the CJR
model episode, providing examples of
cataract surgery, hernia repair,
gallbladder procedures, and
transurethral resection of the prostate. A
commenter requested that CMS add the
ICD–9–CM procedure code for
chemotherapy administration to the Part
B exclusions list, because CMS
proposed to consider chemotherapy to
be unrelated and, therefore, excluded
from the CJR episode definition.
Several commenters requested further
justification of CMS’s proposals to
include all body system-related surgical
MS–DRGs and medical MS–DRGs
except oncology and trauma medical
MS–DRGs in the CJR episode definition.
Several commenters requested further
rationale for CMS’ proposal to include
all PAC services in the episode
following an excluded readmission.
Another commenter requested
clarification on the inclusion of
communication, cognitive, and
swallowing-related diagnoses in the
LEJR episode and CMS’ intent in
bundling services the commenter
believes to be unrelated. The commenter
also requested information about how
providers could submit clinical
justification when an exclusion of
therapy services from the CJR model
episode is needed. Finally, several
commenters expressed support for
excluding patients from the model with
acute disease diagnoses such as head
injury, based on their conclusion that
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CMS proposed to exclude these
beneficiaries due to CMS’ proposed
exclusion of Part B claims reporting
acute disease diagnoses, such as severe
head injury.
Response: We appreciate the specific
requests by the commenters for
clarification and modification of our
proposed list of exclusions from the CJR
model episode definition. We agree with
the commenters who supported our
proposal to exclude readmissions
resulting in discharges from oncology
and trauma medical MS–DRGs. While
we believe that readmissions for
medical MS–DRGs are generally linked
to the hospitalization for the LEJR
procedure as a complication of the
illness that led to the surgery, a
complication of treatment or
interactions with the health care system,
or a chronic illness that may have been
affected by the course of care, we agree
with the commenters that
hospitalizations resulting in discharge
from oncology and trauma medical MS–
DRGs are not related to the
hospitalization for the LEJR procedure.
We do not believe that Part B claims
including ICD–9–CM diagnosis codes
for rheumatoid arthritis should be
excluded from CJR model episodes. This
chronic condition is likely to be affected
by care during the procedure and
recovery period and, therefore, we
would consider claims reporting these
diagnoses codes to be related to the
LEJR episode. With regard to the
commenter’s concerns about delays in
timely treatment as a result of high
treatment costs and reduced access to
joint replacement procedures for
beneficiaries with rheumatoid arthritis,
we refer readers to sections III.F.3. and
5. of this final rule for discussion of our
plans to monitor for access to care and
delayed care due to the potential of the
CJR model to direct patients away from
more expensive services at the expense
of outcomes and quality. We will also
not exclude claims for substance abuse
and mental health services that are not
available in beneficiary claims data
because these services are clinically
related to LEJR episodes. Claims for
substance abuse and mental health
services include care for clinical
conditions that are related to the CJR
episode because these conditions may
be affected by the LEJR procedure or
post-surgical care. With regard to the
commenters’ requests that we exclude
elective procedures such as cataract
surgery, hernia repair, gallbladder
procedures, and transurethral resection
of the prostate from the CJR model
episode definition, while we believe
these procedures will be uncommon
during the post-surgical recovery period
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for CJR model beneficiaries that extends
90 days following discharge from the
anchor hospitalization, we will not
exclude them as unrelated because all of
the procedures may be related to care
furnished during the post-surgical
recovery period. Our exclusion
methodology does not allow us to
identify those procedures that are truly
elective; that is, the condition was
present and surgery was planned prior
to the LEJR procedure and scheduled
during the 90-cay post-hospital
discharge period.
While we agree with the commenter
that chemotherapy services should be
excluded from the CJR model episode,
our exclusion methodology for Part B
services does not rely upon ICD–9–CM
procedure codes but instead upon ICD–
9–CM (or equivalent ICD–10–CM)
diagnosis codes reported on Part B
claims. We note that the Part B payment
systems, including those for physicians’
services, Part B drugs, and institutional
services, reject claims that do not report
valid ICD–9–CM diagnosis codes.
Therefore, we believe that our proposal
to base Part B exclusions only on ICD–
9 diagnosis codes and not additionally
upon ICD–9 procedure codes should
allow us to identify and exclude from
the CJR episodes all Part B claims for
chemotherapy administration services.
Providers and suppliers do not report
ICD–9–CM (or equivalent ICD–10–CM)
procedure codes on Part B claims
because they are paid for their
chemotherapy and other services on the
basis of the CPT or HCPCS codes that
describe those services. However, these
Part B claims must also include ICD–9–
CM (or equivalent ICD–10–CM)
diagnosis codes. CMS requires ICD–9–
CM (or equivalent ICD–10–CM)
procedure codes to be reported only on
Part A claims, which are excluded from
the CJR model on the basis of
readmission MS–DRG rather than ICD–
9 (or equivalent ICD–10) codes, so
adding ICD–9–CM (or equivalent ICD–
10–CM) procedure codes to the Part B
exclusions list is not necessary.
As we stated in the proposed rule, for
readmissions to medical MS–DRGs the
selection of the primary diagnosis code
is not clear-cut so we believe they
should all be included in the episode
definition so that providers focus on
comprehensive care to beneficiaries in
episodes. We reiterate our belief that
readmissions to medical MS–DRGs are
generally linked to the hospitalization
for the procedure as a complication of
the illness that led to the surgery, a
complication of treatment or
interactions with the health care system,
or a chronic illness that may have been
affected by the course of care. Moreover,
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we believe that all body-system related
surgical MS–DRGs for readmissions are
also related to the LEJR episode because
these readmissions are generally related
to complications of the LEJR procedure.
Such surgeries result from the treatment
of systemic conditions that arise from
the LEJR procedure or its complications.
Examples include placement of an
inferior vena cava filer or a
percutaneous coronary intervention for
treatment of thromboembolic
complications of the LEJR procedure.
We did not propose to exclude any
PAC services in the 90-day post-hospital
discharge period, even when those PAC
services follow an excluded
readmission. As Part A services are
generally intended to be comprehensive
in nature and because the beneficiary in
a CJR model episode would still be in
the post-operative recovery period
following LEJR surgery, we believe any
PAC services provided during the
episode would be related to the LEJR
procedure. Regardless of the reason for
the hospitalization immediately
preceding the initiation of PAC services,
the PAC provider would need to address
the beneficiary’s post-surgical recovery
from the LEJR procedure, even if the
PAC services immediately followed an
unrelated readmission to the hospital.
We did not propose to exclude claims
for Part B services for communication,
cognitive, or swallowing-related
diagnoses from the CJR model episode
definition because we believe these
diagnoses are due either to chronic
conditions whose care may be affected
by the LEJR procedure or post-surgical
care or to complications of the
procedure, such as stroke, that result in
these diagnoses. Therefore, we consider
all Part B claims reporting these
diagnoses in the principal diagnosis
field to be related to the CJR episode.
Providers are unable to submit clinical
justification or other special requests for
services to be designated as unrelated to
the episode if one of these diagnoses is
in the principal diagnosis field on
claims. The CJR model is testing LEJR
episode payment and we need
consistency in the scope of the episode
for the model. We will include all
related Part A and Part B services as
identified in this final rule in the
calculation of episode target prices
based on historical CJR episode data and
in the calculation of actual episode
spending for a model performance year.
Finally, in response to the
commenters who supported the
exclusion of beneficiaries with acute
disease diagnoses, such as head injury,
from the CJR model, we want to clarify
that we did not propose to exclude these
beneficiaries from the model. Instead,
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we proposed to exclude Part B claims
reporting acute disease diagnoses from
the episode because we consider these
services to be unrelated under the
episode definition. Therefore, we will
not include claims for Part B services
reporting excluded acute disease ICD–
9–CM (or equivalent ICD–10–CM)
diagnosis codes in calculating target
prices based on historical CJR episodes
or in calculating actual episode
spending that will be compared to the
episode’s target price in the CJR model.
We are finalizing our proposal to
exclude the specific list of MS–DRGs for
readmissions and ICD–9–CM (or
equivalent ICD–10–CM) diagnosis codes
that is posted on the CMS Web site at:
https://innovation.cms.gov/initiatives/
cjr/.
Comment: A commenter requested
that CMS clarify how it will address
hospital-acquired conditions that
should never occur, when these
conditions are part of CMS’ HospitalAcquired Condition Reduction Program
and experienced by CJR model
beneficiaries. The commenter explained
that under current Medicare program
policy, Medicare will not pay the higher
MS–DRG arising from a specified list of
non-reimbursable hospital-acquired
conditions. The commenter pointed out
that CMS proposed to not exclude
claims for diagnoses related to the
quality and safety of care furnished
during the episode in the CJR model
episode definition, but CMS’ list of nonreimbursable hospital-acquired
conditions includes surgical site
infections after certain orthopedic
procedures. In addition to clarifying
how never events will be addressed in
setting payments under the CJR model,
the commenter recommended that CMS
incorporate an analysis of never events
and their incidence into the
reconciliation process and review
whether to expand the list of never
events for elective surgeries.
Another commenter recommended
that the CJR episode include a warranty
for complications associated with
surgery and other treatment, that is, if
complications occur, they should be
treated at no additional cost to the
patient or Medicare.
Response: We appreciate the
commenter’s request for clarification
about treatment of IPPS claims that
include hospital-acquired conditions
under the CJR model. Our model policy
as discussed in section III.C.4. of this
final rule bases the CJR target prices on
historical CJR episodes that reflect
discharge MS–DRGs and paid claim
amounts for those beneficiaries who
would have begun episodes by
admission to an IPPS hospital that
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resulted in a discharge from MS–DRG
469 and 470. To the extent that
Medicare does not pay the higher MS–
DRG amount due to a hospital-acquired
condition that was not present on
admission, the lower payment for the
hospitalization due to the hospitalacquired condition would be used in
setting the episode target price for the
MS–DRG that anchored the episode.
This same would hold true for related
readmissions during the episode. When
calculating actual episode spending
during a performance year, we would
use, once again, the paid claim amount
that, in the case of a hospital-acquired
condition that was not present on
admission, would be at the level of the
lower paying MS–DRG for the anchor
hospitalization or related readmission,
as applicable. We further note that if a
CJR beneficiary experiences a hospitalacquired condition that was not present
on admission during an anchor
hospitalization and has no other
comorbid conditions other than the
HAC that would result in assignment of
MS–DRG 469, the beneficiary’s episode
would be considered an MS–DRG 470anchored episode (initiated by the MS–
DRG for LEJR procedures without
complications). Therefore, the hospitalacquired condition penalty would not
itself inflate the target price such that
CMS would pay back the hospitalacquired condition penalty through a
reconciliation payment.
Our proposal not to exclude claims
for diagnoses related to the quality and
safety of care during the episode is the
basis for our excluded list of MS–DRGs
for readmissions and ICD–9–CM (or
equivalent ICD–10–CM) diagnosis codes
for Part B services and, therefore, this
list would not apply to the anchor
hospitalization itself where hospitalacquired conditions that were not
present on admission could be reported.
As discussed in sections III.C.5. and 6.
of this final rule, the model evaluation
will examine changes in utilization, as
well as outcomes and quality, in order
to assess the impact of the CJR model on
the aims of improved care quality and
efficiency as well as well as reduced
health care costs. We refer readers to
section IV. of this final rule for further
information on the planned evaluation.
We have an ongoing process to review
claims data regarding potential
candidates for additions to the list of
hospital-acquired conditions, so we do
not believe there is a need to
specifically identify CJR episodes for
analysis because the IPPS claims
included in CJR episodes would already
be considered in the ongoing process
used by CMS in the Hospital-Acquired
Condition Reduction Program.
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In response to the commenter who
recommended for the CJR model that if
complications due the LEJR procedure
occur, they should be treated at no
additional cost to the patient or
Medicare, we note that because the CJR
model uses a retrospective payment
approach, we will rely on the existing
Medicare program policies under the
Hospital-Acquired Condition Reduction
Program that define the specific
circumstances in which Medicare will
not make additional payment for a
condition occurring after surgery. When
these circumstances occur for CJR
model beneficiaries in episodes, the
existing Medicare program policies
apply and Medicare would not provide
additional payment. We do not believe
it would be appropriate to establish
policies specific to the CJR model
regarding Medicare nonpayment for
other complications, and we further
note that some complications may not
be preventable. The final pay-forperformance methodology for the CJR
model as discussed in section III.C.5. of
this final rule provides strong financial
incentives for participant hospitals to
coordinate and manage care to reduce
complications, as the THA/TKA
Complications measure (NQF #1550)
contributes half of the available points
for the hospital’s composite quality
score that determines the hospital’s
eligibility for reconciliation payments
and quality incentive payments.
Comment: Several commenters
opposed CMS’ proposal to make
changes to CJR model exclusions
through an annual, at a minimum,
update outside of rulemaking. Most
commenters recommended that CMS
update the exclusions annually through
rulemaking, at least for routine annual
updates. Other commenters stated that
they did see value in CMS making
possible additions and deletion to the
exclusions list on a quarterly basis,
especially early in the model. If
following a quarterly process outside of
rulemaking, these commenters urged
CMS to seek stakeholder comment and
input on candidate revisions through
the CMS Web site and list serves to
ensure broad input. The commenters
encouraged CMS to adopt a transparent
process for revisions to the episode
definition in considering other
exclusions. A number of commenters
recommended that CMS explore other
exclusions for the future, such as those
inpatient hospital admissions or
outpatient procedures planned for the
beneficiary prior to the episode, ongoing
care for patients’ chronic conditions,
and PAC following an excluded hospital
readmission.
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Response: We appreciate the interest
of the commenters’ in ensuring that any
changes to the CJR model episode
definition involve a transparent process
with opportunity for broad stakeholder
input. We continue to believe that
updating the exclusions annually, at a
minimum, outside of rulemaking, is
most appropriate for this 5-year model,
allowing for more frequent updates than
through rulemaking as necessary to
accommodate timely ICD–CM annual
coding changes and the transition to
ICD–10–CM and annual IPPS MS–DRG
changes, as well as to address
significant issues raised by participant
hospitals and other stakeholders.
Commenters who supported an
exclusions list update process outside of
rulemaking did not suggest specific
revisions to our proposed criteria for
updating the exclusions, namely that:
• We would not exclude any items or
services that are—
++ Directly related to the LEJR
procedure itself (such as loosening of
the joint prosthesis) or the quality or
safety of LEJR care (such as post-surgical
wound infection or venous
thromboembolism); and
++ For chronic conditions that may
be affected by the LEJR procedure or
post-surgical care (such as diabetes). By
this we mean that where a beneficiary’s
underlying chronic condition would be
affected by the LEJR procedure, or
where the beneficiary’s LEJR or postLEJR care must be managed differently
as a result of the chronic condition, then
those items and services would be
related and would be included in the
episode.
• We would exclude items and
services for—
++ Chronic conditions that are
generally not affected by the LEJR
procedure or post-surgical care (such as
removal of the prostate). By this we
mean that where a beneficiary’s
underlying chronic condition would not
be affected by the LEJR procedure, or
where the beneficiary’s LEJR or postLEJR care need not be managed
differently as a result of the chronic
condition, then those items and services
would not be related and would not be
included in the episode; and
++ Acute clinical conditions not
arising from existing episode-related
chronic clinical conditions or
complications of LEJR surgery from the
episode (such as appendectomy).
Thus, we continue to believe these
criteria provide the appropriate clinical
review framework for updates to the CJR
model exclusions. Finally, we believe
that our proposed process to post the
potential revised exclusions, which
could include additions to or deletions
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73313
from the exclusions list, to the CMS
Web site to allow for public input on
our planned application of these
standards, and then adopt changes to
the exclusions list with posting to the
CMS Web site of the final revised
exclusions list after our consideration of
the public input, is consistent with the
recommendation of commenters that we
use a transparent process reflective of
robust opportunity for public input.
Conducting this update process outside
of rulemaking based on the criteria set
forth in this final rule will allow us the
greatest flexibility to update the
exclusions as changes to the MS–DRGs
and ICD diagnosis codes, upon which
our exclusions rely, are released. This
process will also allow us to respond
quickly to any episode definition issues
that arise during implementation of the
model across the broad array of
participant hospitals in the selected
MSAs. We would widely publicize the
opportunity for review and public input
through the CMS Web site and listservs.
We also note that any changes to our
overall approach to identifying
excluded services or to our criteria for
evaluating services for exclusion would
be addressed through rulemaking.
Therefore, we are finalizing our
proposal to update the exclusions list
annually, at a minimum, using the
process as described.
Comment: Several commenters
referred to the impending change from
ICD–9–CM to ICD–10–CM coding on
claims and identified that this change
would have implications for the Part B
exclusions list. A commenters stated
that CMS would need to define the
excluded ICD–10–CM codes prior to
implementation of the CJR model and
recommended that CMS also provide
the ICD–10–CM diagnosis code list that
would identify included Part B services.
Response: We appreciate the
commenters’ interest in the list of CJR
model exclusions that are identified
based on ICD–10–CM codes. In the
proposed rule, we stated that as we
move to implement ICD–10–CM we
would develop the CJR exclusions that
would map to the final ICD–9–CM
exclusions for CJR available in the ICD–
10–CM format as well.
With ICD–10–CM implementation
beginning in October 2015, we are
making available the final CJR model
Part B exclusions list in ICD–10–CM
format as additional worksheet tabs to
the final exclusions list posted on the
CMS Web site at: https://innovation.cms.
gov/initiatives/cjr/. This is the same list
of exclusions that will be used for LEJR
episodes under BPCI. This list will be
applied to claims for services furnished
on or after October 1, 2015 and that
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report ICD–10–CM codes. For ease of
understanding by the public, our
objective was to present the ICD–10–CM
excluded codes as ranges of excluded
ICD–10–CM categories, just as we
present the ICD–9–CM excluded codes
as ICD–9–CM ranges.
To develop the ICD–10–CM
exclusions list, we began with the list of
final CJR ICD–9–CM code ranges. From
that list of ranges, we generated an
expanded list of all excluded ICD–9–CM
codes. We then compared the list of
excluded ICD–9–CM codes against both
the ICD–9–CM-to-ICD–10–CM and ICD–
10–CM-to-ICD–9–CM General
Equivalence Mappings (GEMs) available
at: https://www.cms.gov/Medicare/
Coding/ICD10/2015-ICD-10-CM-andGEMs.html. Comparing against both
GEM files was necessary because there
were matches in the ICD–9–CM-to-ICD–
10–CM GEM that did not appear in the
ICD–10–CM-to-ICD–9–CM GEM and
vice versa. For example —
• In the ICD–9–CM-to-ICD–10–CM
GEM file, ICD–9–CM code 85110
(Cortex (cerebral) contusion with open
intracranial wound, unspecified state of
consciousness) maps to ICD–10–CM
code S0190XA (Unspecified open
wound of unspecified part of head,
initial encounter), but there is not a
corresponding map from S019XA to
85110 in the ICD–10–CM-to-ICD–9–CM
GEM.
• In the ICD–10–CM-to-ICD–9–CM
GEM file, ICD–10–CM code A0101
(Typhoid meningitis) maps to ICD–9–
CM code 020 (Typhoid), but there is not
a corresponding map from 020 to A0101
in the ICD–9–CM to-ICD–10–CM GEM.
After compiling the results from both
GEM files, we created a list of every
billable ICD–10–CM code and whether
each billable ICD–10–CM code matched
to an excluded ICD–9–CM code. We
then moved from the list of individual
codes to a list of ICD–10–CM three-digit
categories (for example, ICD–10–CM
code A0101 (Typhoid meningitis) is in
ICD–10–CM category A01 (Typhoid and
paratyphoid fevers)) to present the final
CJR exclusions. We excluded ICD–10–
CM categories in which 100 percent of
billable ICD–10–CM codes matched to
an excluded ICD–9–CM code. There are
574 such categories, and we consider
these CD–10–CM categories excluded
based on a direct mapping from ICD–9–
CM (see the ‘‘Excluded Part B ICD10
Direct’’ worksheet tab in the final
exclusions list file). We did not exclude
ICD–10–CM categories in which no
billable ICD–10–CM codes matched to
an excluded ICD–9–CM code. There are
1,258 categories, and we consider these
categories not excluded based on a
direct mapping from ICD–9–CM. For
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those 71 categories in which only some
billable ICD–10–CM codes in the
category matched to an excluded ICD–
9–CM code after mapping, we excluded
48 ICD–10–CM categories where all of
the ICD–10–CM codes in the category
met one or more of our two final criteria
for updating the excluded codes on the
exclusions list as described previously
in this section (see the ‘‘Excluded Part
B ICD10 Medical’’ worksheet tab in the
final exclusions list file). Specifically,
the 48 ICD–10–CM categories that are
excluded on this basis include ICD–10–
CM codes that meet one or more of the
following two criteria:
• Chronic conditions that are
generally not affected by the LEJR
procedure or post-surgical care (such as
removal of the prostate). By this we
mean that where a beneficiary’s
underlying chronic condition would not
be affected by the LEJR procedure, or
where the beneficiary’s LEJR or postLEJR care need not be managed
differently as a result of the chronic
condition, then those items and services
would not be related and would not be
included in the episode.
• Acute clinical conditions not
arising from existing episode-related
chronic clinical conditions or
complications of LEJR surgery from the
episode (such as appendectomy).
We did not exclude the 23 other ICD–
10–CM categories in which only some
billable ICD–10–CM codes in the
category matched to an excluded ICD–
9–CM code after mapping because the
ICD–10–CM codes in these categories
met one or more of the following
criteria:
• Directly related to the LEJR
procedure itself (such as loosening of
the joint prosthesis) or the quality or
safety of LEJR care (such as post-surgical
wound infection or venous
thromboembolism).
• For chronic conditions that may be
affected by the LEJR procedure or postsurgical care (such as diabetes). By this
we mean that where a beneficiary’s
underlying chronic condition would be
affected by the LEJR procedure, or
where the beneficiary’s LEJR or postLEJR care must be managed differently
as a result of the chronic condition, then
those items and services would be
related and would be included in the
episode.
When constructing prices for CJR, we
will exclude Part B services from target
prices and from performance year
episodes based on the final excluded
ICD–9–CM code ranges and final
excluded ICD–10–CM code categories as
appropriate, based on the applicable
version of ICD diagnosis coding at the
time the services was furnished.
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In addition, we have addressed
changes to the CJR model exclusion list
that result from revisions for the FY
2016 IPPS. From FY 2015 to FY 2016,
there were few changes to IPPS MS–
DRGs that appear on the MS–DRG
excluded readmissions list for the CJR
model. Specifically, the FY 2016 IPPS
update contains changes to existing
MS–DRGs 237 and 238, Major
Cardiovascular Procedures with MCC
and without MCC, respectively, which
are on the exclusions list for CJR
episodes. For discharges after October 1,
2015, inpatient stays that previously
would have been assigned to MS–DRG
237 or 238 will be assigned to one of the
following MS–DRGs:
• 268 Aortic and Heart Assist
Procedures Except Pulsation Balloon
with MCC.
• 269 Aortic and Heart Assist
Procedures Except Pulsation Balloon
without MCC.
• 270 Other Major Cardiovascular
Procedures with MCC.
• 271 Other Major Cardiovascular
Procedures with CC.
• 272 Other Major Cardiovascular
Procedures without CC/MCC.
We also note that the list of excluded
readmissions posted with the proposed
rule inadvertently omitted MS–DRGs
490 and 491, which were eliminated in
the FY 2015 IPPS Final Rule and from
which MS–DRGs 518, 519, and 520
were created in FY 2015. We are adding
MS–DRGs 490 and 491 to the list of
excluded readmissions posted with this
final rule as we will exclude
readmissions in MS–DRGs 490 and 491
for the purposes of calculating CJR
target prices.
Additional information on the new
MS–DRGs is provided in the FY 2016
IPPS final rule (80 FR 49371 through
49390, available at: https://www.cms.
gov/Medicare/Medicare-Fee-for-ServicePayment/AcuteInpatientPPS/FY2016IPPS-Final-Rule-Home-Page.html).
When constructing prices for CJR, we
will exclude readmissions for MS–DRGs
237 and 238 in historical data. We will
also exclude readmissions for MS–DRGs
268, 269, 270, 271, and 272 from
performance year episodes.
Summary of Final Decisions: After
consideration of the public comments
we received, we are adding the
following new definition for the CJR
model: ‘‘Provider of outpatient therapy
services’’ means a provider or supplier
furnishing—(1) Outpatient physical
therapy services as defined in § 410.60
of this chapter, or (2) outpatient
occupational therapy services as defined
in § 410.59 of this chapter, or (3)
outpatient speech-language pathology
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services as defined in § 410.62 of this
chapter.
We are finalizing our proposal, with
modification to remove the term
‘‘independent’’ preceding outpatient
therapy services, that related items and
services included in CJR episodes,
defined by all of the clinical conditions
requiring an admission to an IPPS
hospital that results in a discharge from
MS–DRG 469 or 470 would be the
following items and services paid under
Medicare Part A or Part B, after the final
exclusions are applied:
• Physicians’ services.
• Inpatient hospital services
(including readmissions), with certain
exceptions, as discussed later in this
section.
• IPF services.
• LTCH services.
• IRF services.
• SNF services.
• HHA services.
• Hospital outpatient services.
• Outpatient therapy services.
• Clinical laboratory services.
• DME.
• Part B drugs.
• Hospice.
Medicare spending for related items
and services will be included in the
historical data used to set episode target
prices, as well as in the calculation of
actual episode spending that would be
compared against the target price to
assess the performance of participant
hospitals. In contrast, Medicare
spending for unrelated items and
services (excluded from the episode
definition) will not be included in the
historical data used to set target prices
or in the calculation of actual episode
spending.
Additionally, we are finalizing our
proposal to exclude inpatient hospital
readmissions based on the list of
excluded MS–DRGs and Part B services
that report an excluded ICD–9–CM (or
equivalent ICD–10–CM) diagnosis code
as the principal diagnosis based on the
list posted on the CMS Web site at:
https://innovation.cms.gov/initiatives/
cjr/. As we proposed, we will exclude
IPPS new technology add-on payments
for drugs, technology, and services and
hemophilia clotting factors paid
separately during an inpatient
hospitalization from the CJR model
episode definition. We are modifying
our proposal and, under our final
policy, we will also exclude OPPS
transitional pass-through payments for
devices. We are also finalizing our
proposal to update the exclusions list
without rulemaking on an annual basis,
at a minimum, to reflect annual changes
to ICD–CM coding and annual changes
to the MS–DRGs under the IPPS, as well
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as to address any other issues that are
brought to our attention by the public
throughout the course of the model test.
We will first develop potential
exclusions list revisions of MS–DRGs
for readmissions and ICD–9–CM (or
equivalent ICD–10–CM) diagnosis codes
for Part B services based on our
assessment against the following
standards:
• We would not exclude any items or
services that are—
++ Directly related to the LEJR
procedure itself (such as loosening of
the joint prosthesis) or the quality or
safety of LEJR care (such as post-surgical
wound infection or venous
thromboembolism); and
++ For chronic conditions that may
be affected by the LEJR procedure or
post-surgical care (such as diabetes). By
this we mean that where a beneficiary’s
underlying chronic condition would be
affected by the LEJR procedure, or
where the beneficiary’s LEJR or postLEJR care must be managed differently
as a result of the chronic condition, then
those items and services would be
related and would be included in the
episode.
• We would exclude items and
services for—
++ Chronic conditions that are
generally not affected by the LEJR
procedure or post-surgical care (such as
removal of the prostate). By this we
mean that where a beneficiary’s
underlying chronic condition would not
be affected by the LEJR procedure, or
where the beneficiary’s LEJR or postLEJR care need not be managed
differently as a result of the chronic
condition, then those items and services
would not be related and would not be
included in the episode; and
++ Acute clinical conditions not
arising from existing episode-related
chronic clinical conditions or
complications of LEJR surgery from the
episode (such as appendectomy).
We will post the potential revised
exclusions, which could include
additions to or deletions from the
exclusions list, to the CMS Web site to
allow for public input on our planned
application of these standards, and then
adopt changes to the exclusions list
with posting to the CMS Web site of the
final revised exclusions list after our
consideration of the public input.
Through the process for public input on
potential revised exclusions and then
posting of the final revised exclusions,
we will also provide information to the
public about when the revisions would
take effect and to which episodes they
would apply. These parameters could
vary, depending on the relationship of
exclusion list changes to annual ICD–
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CM or MS–DRG changes or to other
issues brought to our attention by the
public. While these revised exclusions
may correspond to the time when we
provide new target prices for a
performance year, depending on the
timing of when they would take effect
and to which episodes they would
apply, we would recalculate target
prices as necessary.
The final definitions are set forth in
§ 510.2 which has been revised to
remove proposed (b)(3) for inpatient
hospital readmission services because
hospital readmissions are already
referenced in (b)(2). The remaining
provisions under § 510.2(b) have been
renumbered accordingly. The final
policies for included services, excluded
services, and updating the lists of
excluded services are set forth in
§ 510.200(b), (d), and (e). We note that
§ 510.200(d)(3) has been renumbered to
§ 510.200(d)(4) and § 510.200(d)(3)
added to state, ‘‘Transitional passthrough payments for medical devices
as defined in § 419.66 of this chapter.’’
In addition, § 510.200(b)(10) has been
modified to read ‘‘Outpatient therapy
services.’’
3. Duration of Episodes of Care
a. Beginning the Episode and
Beneficiary Care Inclusion Criteria
While we proposed to identify LEJR
episodes by an acute care
hospitalization for MS–DRG 469 and
470, we recognize that the beneficiary’s
care for an underlying chronic
condition, such as osteoarthritis, which
ultimately leads to the surgical
procedure, typically begins months to
years prior to the surgical procedure.
Because of the clinical variability
leading up to the joint replacement
surgery and the challenge of identifying
unrelated services given the multiple
chronic conditions experienced by
many beneficiaries, we did not propose
to begin the episode prior to the anchor
hospitalization (that is, the admission
that results in a discharge under MS–
DRG 469 or 470). In the proposed rule,
we stated our belief that the
opportunities for care redesign and
improved efficiency prior to the
inpatient hospitalization are limited for
an episode payment model of this type
that focuses on a surgical procedure and
the associated recovery once the
decision to pursue surgery has been
made, rather than an episode model that
focuses on decision-making and
management of a clinical condition
itself (such as osteoarthritis).
We proposed to begin the episode
with an inpatient anchor hospitalization
for MS–DRG 469 or MS–DRG 470 in
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accordance with the methodology
described. This proposal to begin the
episode upon admission for the anchor
hospitalization is consistent with LEJR
episode initiation under Model 2 of
BPCI. While we did not propose to
begin the episode prior to the inpatient
hospital admission, we noted that our
proposed episode definition includes all
services that are already included in the
IPPS payment based on established
Medicare policies, such as diagnostic
services (including clinical diagnostic
laboratory tests) and nondiagnostic
outpatient services related to a
beneficiary’s hospital admission
provided to a beneficiary by the
admitting hospital, or by an entity
wholly owned or wholly operated by
the admitting hospital (or by another
entity under arrangements with the
admitting hospital), within 3 days prior
to and including the date of the
beneficiary’s admission. For more
information on the 3-Day Payment
Window payment policies, see CMS
Pub. 100–04, Chapter 3, section 40.3
and Chapter 4, section 10.12.
We proposed that the defined
population of Medicare beneficiaries
whose care will be included in CJR meet
the following criteria upon admission to
the anchor hospitalization. We noted
that these criteria are also consistent
with Model 2 of BPCI, as well as most
other Innovation Center models that do
not target a specific subpopulation of
beneficiaries. We proposed that the
LEJR episodes for all beneficiaries in the
defined population will be included in
CJR (although we proposed that certain
episodes may be canceled for purposes
of determining actual episode payments
for reasons discussed later in this final
rule), and we refer readers to section
III.F.2. of this final rule for further
discussion of beneficiary notification
and a beneficiary’s ongoing right under
CJR to obtain health services from any
individual or organization qualified to
participate in the Medicare program.
• The beneficiary is enrolled in
Medicare Part A and Part B throughout
the duration of the episode.
• The beneficiary’s eligibility for
Medicare is not on the basis of End
Stage Renal Disease (ESRD).
• The beneficiary must not be
enrolled in any managed care plan (for
example, Medicare Advantage, Health
Care Prepayment Plans, cost-based
health maintenance organizations).
• The beneficiary must not be
covered under a United Mine Workers
of America health plan, which provides
healthcare benefits for retired mine
workers.
• Medicare must be the primary
payer.
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Our proposal for inclusion of
beneficiaries in CJR is as broad as
feasible, representing all those LEJR
episodes for which we believe we have
comprehensive historical Medicare
payment data that allow us to
appropriately include Medicare
payment for all related services during
the episode in order to set appropriate
episode target prices. For beneficiaries
whose care we proposed to exclude
from the model, we are unable to
capture or appropriately attribute to the
episode the related Medicare payments
because of Medicare’s payment
methodology. For example, if a
beneficiary is enrolled in a Medicare
Advantage plan, Medicare makes
capitated payments (and providers do
not submit complete claims data to
CMS), so we would not have a way to
identify and attribute the portion of
those payments related to an LEJR
episode. More information on setting
bundled payment target prices for
episodes under CJR is available in
section III.C.4.b. of this final rule.
Including the broadest feasible array of
Medicare beneficiaries’ admissions in
the model would provide CMS with the
most robust information about the
effects of this model on expenditures
and quality for beneficiaries of the
widest variety of ages and
comorbidities, and allow the participant
hospitals the greatest opportunity to
benefit financially from systematic
episode care redesign because most
Medicare beneficiaries undergoing an
LEJR procedure will be included in the
model and, therefore, subject to the
policies we proposed.
We sought comment on our proposal
on when to begin the CJR episode, as
well as to identify the care included for
beneficiaries.
The following is a summary of the
comments received and our responses.
Comment: Most commenters agreed
that the episode should begin with the
hospital admission for the LEJR
procedure. Some of these commenters
noted that it would not be appropriate
to include the period prior to the
hospital admission as it could include
unrelated care and introduce variability.
Several orthopedic surgeons
commented that physician treatment
and care management begin prior to
surgery, with the physician continuing
to manage care during surgery,
following surgery, and throughout the
entire PAC period. These commenters
were concerned that beginning the
episode with the hospital admission
would result in beneficiaries choosing
and initiating care plans designed with
their treating physicians and later, when
hospitalized, the beneficiaries would
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receive conflicting care plans and,
ultimately, experience adverse
outcomes.
Many commenters recommended
starting the episode earlier than the
hospital admission. Some commenters
recommended starting the episode once
the decision to pursue surgery is made,
and some recommended specific
timeframes that ranged between four to
eight weeks prior to the surgery. Some
commenters provided examples of
presurgical services that they have
found improve patient outcome and
satisfaction, improve care quality, and
reduce costs, such as comprehensive
patient evaluations to assess a
beneficiary’s overall condition and
chronic comorbid conditions;
pre-surgical counseling for non-medical
pain management; home safety reviews;
post-discharge planning; patient and
caregiver education; weight loss
programs; and physical therapy. Some
commenters requested that CMS
consider additional program rule
waivers for the CJR model, beyond those
specifically proposed, to facilitate the
provision of various preoperative
services and incentives that are not
allowed or payable under current
Medicare rules.
A few commenters were concerned
that starting the episode with the
hospital admission may lead to
participants shifting costs to just prior to
the start of the episode to receive
payments for those services in addition
to the bundle. To minimize gaming,
they recommended starting the episode
once the surgery has been elected and
prior to the hospital admission, which
is consistent with many private sector
models.
Response: We appreciate the interest
expressed by the commenters in starting
comprehensive care coordination prior
to the hospital admission, and we
recognize that the beneficiary’s care
which ultimately leads to the LEJR
surgery, including the physician-patient
relationship, often begins long before
the surgical procedure. We also
appreciate concerns about providers
unbundling services and shifting costs
to just prior to the episode, between the
time the surgery has been elected and
the hospital admission. However,
beginning the episode too far in advance
of the LEJR surgery would make it
difficult to avoid bundling unrelated
items, and starting the episode prior to
the hospital admission is more likely to
encompass costs that vary widely
among beneficiaries, which would make
the episode more difficult to price
appropriately.
We appreciate commenters’
suggestions of pre-surgical services and
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programs that could support the
continuum of care for CJR beneficiaries.
However, identifying a specific set of
related presurgical services to include in
the episode, as recommended by some
commenters, would be of little value in
the model because many of the services
that are typically necessary or the
standard of care prior to surgery are
often included in the IPPS payment
under the three day payment window
payment policies and are therefore
already included in the CJR episode. We
note that some of the related services
suggested by commenters that are not
typically included in the three-day
payment window are intended to more
broadly manage the clinical condition(s)
that may have led to the LEJR, and as
discussed previously in this section, the
CJR model is designed to focus on the
surgical procedure and the associated
recovery. We also note that some of
these suggested services would be
applicable to a subset of CJR
beneficiaries and, therefore, do not
present a significant opportunity for
improving efficiency and redesigning
care management for the typical
beneficiary receiving an LEJR.
We believe that using the date of
admission as the start of the episode is
appropriate as hospitals are unlikely to
shift related services earlier than when
is clinically indicated. With respect to
expanding the waivers to presurgical
services that are not currently covered
or payable, we have finalized several
waivers of Medicare program rules as
discussed in section III.C.11. of this
final rule specifically to assist
participant hospitals in efficient and
effective care coordination and care
management for CJR beneficiaries, and
we do not believe it would be consistent
with the model design or otherwise
necessary for the model test to
implement waivers for the preoperative
period. While we appreciate
commenters’ interest in providing
additional presurgical services that may
enhance care coordination and care
management, the waivers of Medicare
program rules are only available if the
beneficiary is in the episode at the time
a service under the waiver is furnished.
We believe that allowing waivers in the
preoperative period prior to the anchor
hospitalization, based on an expectation
that a beneficiary will be in a CJR Model
episode, would not be appropriate as
there is no guarantee that the
beneficiary will actually initiate a CJR
Model episode and qualify for services
furnished under a waiver.
For purposes of the CJR model, we
continue to believe that beginning the
episode with the anchor hospitalization
is most appropriate due to the clinical
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variability leading up to the joint
replacement surgery and the challenge
of distinguishing between related and
unrelated services. We also believe that
beginning the episode with the anchor
hospitalization, and not prior to
admission, would be easier to
administer and provide more consistent
episodes for testing the CJR Model.
Therefore, we are finalizing our
proposal to begin the episode with
admission to an inpatient anchor
hospitalization for MS–DRG 469 or MS–
DRG 470 in accordance with the
methodology described.
Comment: Commenters generally
supported the proposed beneficiary
inclusion criteria as reasonable and
consistent with other programs. Some
commenters suggested we exclude
additional populations from CJR,
namely beneficiaries with serious
conditions or acute diseases, such as
traumatic brain injury, spinal cord
injuries, multiple-limb trauma,
amputations, moderate to severe strokes,
severe neuromuscular and
musculoskeletal conditions, HIV
infection, and cancer. A commenter
recommended that we design a separate
model to address the needs of patients
with chronic conditions. A few
commenters recommended excluding
all patients on hospice.
Many commenters recommended that
if we did not exclude high risk cases, we
must develop more robust risk
adjustment to account for
socioeconomic, clinical, or other risk
factors that are out of the hospital’s
control and impact patients’ health and
recovery. Some commenters were
concerned that without accurate risk
adjustment, hospitals will have an
incentive to avoid higher-risk LEJR
candidates. A commenter cited a study
that found significant differences in
Medicare spending per beneficiary
during the 90-day episode based on
various patient characteristics, such as
type of LEJR surgery; emergency versus
scheduled surgery; hip fractures versus
degenerative conditions; patients age 85
or older; patients with multiple
comorbidities, and patients who were
dual eligible. The commenter asserted
that robust risk adjustment based on the
risk profile of each hospital’s patients is
essential for the CJR model because
individual hospitals will not have
enough enrollment to spread their risk.
A few commenters recommended that at
least the initial implementation of the
Model should exclude vulnerable
populations with complicated or
intensive care needs until the CJR model
demonstrates sufficient quality
outcomes and has developed accurate
risk adjustments and patient safeguards
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to ensure high-quality care for
populations that the commenters
believe could face serious care
disadvantages in the CJR model.
Response: Many beneficiaries
undergoing procedures that result in
discharge from MS–DRG 469 and 470
have underlying conditions that may
affect care throughout the episode or
that may be influenced by the surgical
procedure that initiates the episode. We
believe it is important to include these
beneficiaries in the model so that they
can benefit from care coordination and
management throughout the episode,
and including the broadest feasible
array of Medicare beneficiaries in the
CJR model provides participant
hospitals with greater incentive to
redesign episode care. We also believe
that patients in hospice would benefit
from the improved comprehensive care
coordination incentivized by the CJR
model, and we refer readers to the
related discussion in section III.B.2. of
this final rule regarding our policy to
include hospice claims in the episode.
We refer readers to section III.C.4.b. of
this final rule for the final policy that
will risk stratify the target prices based
on the presence or absence of a hip
fracture for CJR model beneficiaries. We
believe that this risk stratification policy
addresses many of the commenters’
concerns that beneficiaries with serious
conditions, acute diseases, and chronic
conditions are likely to need more
costly care throughout the CJR model
episode that would have been
inadequately paid under our proposal
because these beneficiaries are those
most likely to be present in the
population receiving LEJR procedures
emergently due to a hip fracture.
Comment: Several commenters
recommended that CMS exclude
beneficiaries who opted out of data
sharing. These commenters asserted that
it would be virtually impossible to
manage risk and improve outcomes
without claims data.
Response: As discussed in section
III.E. of this final rule, we have decided
not to finalize our proposal to allow
beneficiaries the opportunity to decline
having their data shared. We refer
readers to section III.E. of this final rule
for additional discussion of data
sharing.
Comment: Some commenters
suggested that CMS limit the CJR model
to beneficiaries that live within a
limited distance from participant
hospitals so that the hospital would not
be penalized for inadequately managing
the PAC of medically complex patients
from remote or distant locations.
Response: We expect that in some
limited circumstances, participant
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hospitals will have limited ability to
coordinate care. However, following the
care coordination that takes place in the
hospital, we believe that much of the
subsequent coordination for PAC can be
accomplished through
telecommunications that do not require
the patient to remain within geographic
proximity of the hospital. Moreover, the
design of the model does not preclude
hospitals from coordinating care with
local providers outside of their
immediate referral area. We also note
that we have finalized several waivers of
Medicare program rules, as discussed in
section III.C.11. of this final rule, to
facilitate efficient and effective care
coordination for beneficiaries in remote
or distant locations outside the
immediate community. Therefore, we
will not exclude beneficiaries who are
referred to participant hospitals from
other areas.
Comment: A commenter requested
CMS to consider including beneficiaries
enrolled in MA plans in the model as
they are likely to be healthier and their
inclusion will help hospitals maintain
costs within their targets. The
commenter recognizes that the CJR
payment methodology makes it difficult
to identify and attribute payment related
to the LEJR episode. However, the
commenter asserts that participant
hospitals in states with a high
percentage of beneficiaries enrolled in
MA plans are more likely to care for CJR
patients with a higher than average risk
profile, which could make it more
difficult for a hospital to maintain costs
within the target rate.
Response: We appreciate the
commenter’s interest in increasing the
population of beneficiaries included in
the CJR model, and we recognize that
participant hospitals with higher risk
CJR beneficiaries may find it more
challenging to maintain actual aggregate
episode payments within their target
price. However, as discussed previously
in this section, Medicare makes
capitated payments for beneficiaries
enrolled in MA plans, and providers do
not submit complete claims data to
CMS. Therefore, we are finalizing our
proposal not to include beneficiaries
enrolled in MA plans because we are
unable to capture or appropriately
attribute to the episode the related
Medicare payments.
Comment: A couple of commenters
requested that CMS exclude episodes
where the LEJR surgery was furnished
either by an opt-out physician, because
the principal procedure is not paid by
Medicare, or by a non-participating
physician who does not accept
assignment. They requested that if such
episodes are to be included, CMS
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should establish policies under which
participant hospitals can provide
reconciliation payments to and receive
alignment payments from opt-out
physicians as well as non-participating
physicians.
Response: Consistent with the BPCI
policy, we do not believe it would be
appropriate to exclude beneficiaries
from the CJR model if a physician who
opted out of Medicare pursuant to
§ 405.420 or a non-participating
physician performs the LEJR surgery
during the anchor hospitalization. We
would expect that beneficiaries
undergoing LEJR procedures, regardless
of the Medicare participation or opt-out
status of the operating surgeon, would
have similar needs for care coordination
and management throughout the
episode period that extends 90 days
post-hospital discharge, and we see no
reason that hospitals should not have
the same quality and cost performance
responsibility for these episodes. We
note that less than 15 percent of episode
spending, on average, would be
expected to be paid for physicians’
services, with more than 80 percent of
the episode payment made for inpatient
hospital and PAC services. Thus, for a
beneficiary who otherwise meets the
CJR model’s inclusion criteria, a CJR
model episode would begin at the time
of the beneficiary’s admission for the
anchor hospitalization, regardless of
whether an opt-out physician or nonparticipating physician performs the
LEJR surgery during that stay.
We refer readers to section III.C.3. of
this final rule for discussion of the effect
on reconciliation payments on services
furnished by non-participating and optout physicians and to section III.C.10.a.
of this final rule for discussion of issues
related to gainsharing payments and
alignment payments.
Summary of Final Decisions: After
consideration of the public comments
we received, we are finalizing our
proposal to begin the episode with
admission for an inpatient anchor
hospitalization for MS–DRG 469 or MS–
DRG 470 in accordance with the
methodology described. We also are
finalizing our proposal as to the criteria
for beneficiary inclusion in the model as
follows:
• The beneficiary is enrolled in
Medicare Part A and Part B throughout
the duration of the episode.
• The beneficiary’s eligibility for
Medicare is not on the basis of ESRD.
• The beneficiary must not be
enrolled in any managed care plan (for
example, Medicare Advantage, Health
Care Prepayment Plans, cost based
health maintenance organizations).
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• The beneficiary must not be
covered under a United Mine Workers
of America health plan, which provides
healthcare benefits for retired mine
workers.
• Medicare must be the primary
payer.
The final policies for beginning an
episode are set forth in § 510.210(a). The
final policies for beneficiary inclusion
are set forth in § 510.205.
b. Middle of the Episode
We proposed that once the episode
begins for a beneficiary whose care is
included, the episode continues until
the end as described in the next section
of this final rule, unless the episode is
canceled because the beneficiary no
longer meets the same inclusion criteria
proposed for the beginning of the
episode at any point during the episode.
When an episode is canceled, we
proposed that the services furnished to
beneficiaries prior to and following the
episode cancellation will continue to be
paid by Medicare as usual but we will
not calculate actual episode spending
that would otherwise under CJR be
reconciled against the target price for
the beneficiary’s care (see section III.C.6.
of the proposed rule). As discussed in
section III.C.11.a. of the proposed rule,
if the beneficiary is in the episode at the
time the service under the waiver is
furnished, the waiver is available, even
if the episode is later canceled.
In the proposed rule, we stated our
belief that it would be appropriate to
cancel the episode when a beneficiary’s
status changes during the episode such
that they no longer meet the criteria for
inclusion because the episode target
price reflects full payment for the
episode, yet we would not have full
Medicare episode payment data for the
beneficiary to reconcile against the
target price.
In addition, we proposed that the
following circumstances would also
cancel the episode:
• The beneficiary is readmitted to an
acute care hospital during the episode
and discharged under MS–DRG 469 or
470 (in this case, the first episode would
be canceled and a new LEJR episode
would begin for the beneficiary).
• The beneficiary dies during the
anchor hospitalization.
• The beneficiary initiates an LEJR
episode under BPCI Models 1, 2, 3 or 4.
In the case of beneficiary death during
the anchor hospitalization, we stated
our belief that it would be appropriate
to cancel the episode as there are
limited efficiencies that could be
expected during the anchor
hospitalization itself. In the case of
beneficiary readmission during the first
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CJR episode for another LEJR (typically
a planned staged second procedure), we
stated our belief that it would not be
appropriate to include two episodes in
the model with some time periods
overlapping, as that could result in
attribution of the Medicare payment for
2 periods of PAC to a single procedure.
We sought comment on our proposals
to cancel episodes once they have begun
but prior to their end.
The following is a summary of the
comments received and our responses.
Comment: Commenters were
generally supportive of our proposals
for canceling the episode, though many
recommended additional circumstances
for canceling the episode, such as
adverse events which are beyond the
hospital’s control. Many commenters,
including MedPAC, recommended that
CMS cancel the episode if the
beneficiary dies at any time during the
episode, arguing that such cases could
be extremely low or high cost and
spending is, therefore, not typical.
These commenters recommended that
all episodes that end in patient death
should be excluded from the
calculations of the target price and
reconciliation amounts, not just those
episodes where patients die during the
initial hospitalization as CMS proposed,
as this type of episode of care could
skew the data. Given that hospitals are
held financially responsible for the
entire 90-day episode, a few
commenters suggested excluding all
episodes with death for consistency and
administrative simplicity. A commenter
observed that a deceased beneficiary no
longer meets all of the beneficiary
inclusion criteria, and on that basis
recommended that CMS cancel the
episode when the patient dies. A
commenter suggested also canceling
episodes for any beneficiaries that die
during the 30 day post-episode
monitoring period. Some commenters
suggested that other circumstances
should cancel an episode, such as a
beneficiary geographic move, change in
beneficiary residence from a home to a
facility, and loss of the beneficiary to
follow up care.
Response: While beneficiary deaths
during LEJR episodes are uncommon,
we expect them to vary unpredictably
across hospitals and, therefore, we agree
that it would be appropriate to cancel
episodes under these circumstances. We
also agree that canceling all episodes
during which a beneficiary dies is
consistent with the otherwise applicable
episode duration as the episode would
not extend to 90 days hospital postdischarge. However, we would include
episodes where the patient dies during
the 30 days post-episode as this would
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not affect the variability of episode
spending, and it would be appropriate
to monitor for beneficiary death during
the immediate post-episode period.
We expect some limited
circumstances where participant
hospitals will have limited ability to
coordinate care. However, we believe
that participant hospitals will be
incentivized to seek creative solutions
that do not rely on in-person services,
and we are finalizing our proposal that
all other beneficiary episodes would
remain in the CJR model, regardless of
where the beneficiary is located.
Payment for beneficiaries in these
circumstances will be reflected in the
target prices based on historical
utilization.
Comment: Commenters urged CMS to
hold beneficiaries and providers
financially harmless for care received as
part of a CJR episode if the episode is
later canceled. A few commenters
supported the continued application of
Medicare program waivers if an episode
is canceled when a beneficiary’s status
changes, and a few commenters were
unclear if waivers apply to beneficiaries
who are retrospectively identified as
ineligible for CJR program waivers due
to changes in coverage status.
Response: As discussed previously in
this section, we proposed that if the
beneficiary is in the episode at the time
the service under the program rule
waiver is furnished, the waiver is
available, even if the episode is later
canceled. If the beneficiary is not in the
episode at the time the service under the
waiver is furnished, financial liability
for these services would be determined
in accordance with the policies outlined
in the Medicare Claims Processing
Manual (Pub. L. 100–04), Chapter 30. As
we gain experience with CJR, we may
revisit this issue in future rulemaking.
We refer readers to section III.C.11. of
this final rule for additional discussion
and our finalized policy to apply
waivers of programs rules if the
beneficiary is in the episode at the time
the service under the waiver is
furnished, even if the episode is later
canceled.
Comment: A commenter was
concerned that initiation of a BPCI
episode would cancel a CJR episode,
when the CJR episode begins first. The
commenter also requested clarification
whether a BPCI episode for a different
clinical condition, such as cardiac
procedures, would cancel a CJR LEJR
episode.
Response: We proposed and are
finalizing our policy that a CJR episode
would be canceled when a beneficiary
initiates an LEJR episode under BPCI
Models 1, 2, 3, or 4. A CJR beneficiary
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73319
initiating a different clinical episode
under BPCI Models 1, 2, 3, or 4 would
remain in a CJR episode. We refer
readers to section III.C.7.b. of this final
rule for additional discussion of CJR
beneficiary overlap with BPCI episodes.
Summary of Final Decisions: After
consideration of the public comments
we received, we are finalizing our
proposal to cancel episodes once they
have begun but prior to their end if the
beneficiary no longer meets the same
inclusion criteria proposed for the
beginning of the episode at any point
during the episode. We also are
finalizing our proposal that the
following circumstances would also
cancel an episode:
• The beneficiary is readmitted to a
participant hospital during the episode
and discharged under MS–DRG 469 or
470.
• The beneficiary initiates an LEJR
episode under BPCI Models 1, 2, 3 or 4.
We are modifying our proposal for
canceling an episode when a beneficiary
dies during an anchor hospitalization.
Under our final policy, the following
circumstance would also cancel an
episode:
• The beneficiary dies at any time
during the episode.
The final policies for cancellation of
an episode are set forth in § 510.210(b).
We note that § 510.210(b)(4) has been
revised to state that an episode is
canceled if the beneficiary dies during
the episode.
c. End of the Episode
LEJR procedures are typically major
inpatient surgical procedures with
significant associated morbidity and a
prolonged recovery period that often is
marked by significant PAC needs,
potential complications of surgery, and
more intense management of chronic
conditions that may be destabilized by
the surgery. In light of the course of
recovery from LEJRs for Medicare
beneficiaries, we proposed that an
episode in the CJR model end 90 days
after discharge from the acute care
hospital in which the anchor
hospitalization (for MS–DRG 469 or
470) took place. Hereinafter, we refer to
the proposed CJR model episode
duration as the ‘‘90-day post-discharge’’
episode. To the extent that a Medicare
payment for included services spans a
period of care that extends beyond the
episode duration, we proposed that
these payments would be prorated so
that only the portion attributable to care
during the fixed duration of the episode
is attributed to the episode spending.
We noted that for the vast majority of
beneficiaries undergoing a hip or knee
joint replacement, a 90-day post-
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discharge episode duration
encompasses the full transition from
acute care and PAC to recovery and
return to activities. We stated our belief
that the 90-day post-discharge episode
duration encourages acute care
hospitals, physicians, and PAC
providers to promote coordinated,
quality care as the patient transitions
from the inpatient to outpatient settings
and the community.
In proposing the 90-day postdischarge duration for LEJR episodes in
CJR, we took into consideration the
literature regarding the clinical
experiences of patients who have
undergone THA or TKA procedures. In
2007–2008, the 30-day all-cause
readmission rate for primary THA
among Medicare beneficiaries was 8.5
percent, while the 90-day all-cause
readmission rate was 11.9 percent,
indicating that while the rate of
readmission begins to taper after 30
days, readmissions continue to accrue
throughout this 90 day window.6 In
single center studies, Schairer et al
found unplanned 30-day hospital
readmission rates were 3.5 percent and
3.4 percent and unplanned 90-day
hospital admission rates were 4.5
percent and 6 percent for primary THA
and TKA, respectively, demonstrating
that the risk of readmission remains
significantly elevated from 30 through
90 days post-hospital discharge.7 8
Further exploring the reasons for
unplanned admission for TKAs within
90 days of a knee replacement
procedure, Schairer et al found that 75
percent were caused by surgical causes
such as arthrofibrosis and surgical site
infection. Additional information on the
common reasons for hospital
readmission following TKA or THA can
be obtained from The American College
of Surgeons National Surgical Quality
Improvement Program.9 These data
identified the top 10 reasons for
readmission within 30 days of a hip or
knee arthroplasty:
• Surgical site infections (18.8
percent).
• Prosthesis issues (7.5 percent).
• Venous thromboembolism (6.3
percent).
• Bleeding (6.3 percent).
• Orthopedic related (5.1 percent).
• Pulmonary (3.2 percent).
• Cardiac (2.4 percent).
• CNS or CVA (2.4 percent).
• Ileus or Obstruction (2.3 percent).
• Sepsis (2.1 percent).
In addition, the authors concluded
that ‘‘readmissions after surgery were
associated with new post-discharge
complications related to the procedure
and not exacerbation of prior index
hospitalization complications,
suggesting that readmissions after
surgery are a measure of post-discharge
complications.’’ Finally, with regard to
the potential for readmission for joint
replacement revision within a 90-day
post-discharge episode, in a twelve-year
study on Medicare patients conducted
by Katz, et al., the risk of revision after
THA remained elevated at
approximately 2 percent per year for the
first eighteen months and then 1 percent
per year for the remainder of the followup period.10 This study suggests that a
longer episode, as opposed to a shorter
episode, is more likely to simulate the
increased risk of revision LEJR patients
face.
In order to address the complication
rates associated with elective primary
total hip or knee arthroplasty, we
developed an administrative claimsbased measure (for a detailed
description of the measure see section
III.D. of the proposed rule). During the
development of the Hospital-level RiskStandardized Complication Rate (RSCR)
following elective primary THA or TKA
or both, complications of elective
primary total hip or knee replacement
were identified to occur within specific
timeframes.11 For example, analyses
done during the development of the
measure as well as Technical Expert
Panel opinion found that—(1)
Mechanical complications and
periprosthetic joint infection/wound
infection are still attributable to the
procedure for the 90 days following
admission for surgery; (2) death,
surgical site bleeding, and pulmonary
embolism are still likely attributable to
the hospital performing the procedure
for up to 30 days; and (3) medical
complications of acute myocardial
infarction (AMI), pneumonia, and
sepsis/septicemia/shock are more likely
to be attributable to the procedure for up
to 7 days.
Other factors further supporting a 90day post-discharge episode duration are
the elevated risk of readmission
throughout this time period, as well as
the fact that treatment for pneumonia is
considered by American Thoracic
Society guidelines to be ‘‘health careassociated’’ if it occurs up to 90 days
following an acute care hospitalization
of at least 2 days.12 According to the
American Academy of Orthopedic
Surgeons, patients undergoing total hip
replacement should be able to resume
most normal light activities of daily
living within 3 to 6 weeks following
surgery.13 In a small randomized
controlled trial of two approaches to hip
arthroplasty, average time to ambulation
without any assistive device was 22–28
days.14 According to a 2011 systematic
review of studies evaluating physical
functioning following THA, patients
have recovered to about 80 percent of
the levels of controls by 8 months after
surgery.15
We also refer readers to a study by the
Assistant Secretary for Planning and
Evaluation (ASPE) in the U.S.
Department of Health and Human
Services that assessed the mean
payments for acute care, PAC, and
physician services grouped in the MS–
DRG 470.16 In this study, CMS payment
for services following an MS–DRG 470
hospitalization were concentrated
within the first 30 days following
discharge, with plateauing of payments
between 60- or 90-days post-discharge.
6 Cram P, Lu X, Kates SL, Singh JA, Li Y, Wolf
BR. Total Knee Arthroplasty Volume, Utilization,
and Outcomes Among Medicare Beneficiaries, 1
991–2010. JAMA. 2012;308(12):1227–1236.
doi:10.1001/2012.jama.11153.
7 Schairer WW, et al. Causes and frequency of
unplanned hospital readmission after total hip
arthroplasty. Clin Orthop Relat Res. 2014
Feb;472(2):464–70. doi: 1 0.1007/s11999–013–
3121–5.
8 Schairer WW, et al. What are the rates and
causes of hospital readmission after total knee
arthroplasty? Clin Orthop Relat Res. 2014
Jan;472(1):181–7. doi: 1 0.1007/s11999–013–3030–
7.
9 Merkow RP, Ju MH, Chung JW, et al. Underlying
Reasons Associated With Hospital Readmission
Following Surgery in the United States. JAMA.
2015;313(5):483–495. doi:10.1001/jama.2014.18614.
10 Katz JN, et al. Twelve-Year Risk of Revision
After Primary Total Hip Replacement in the U.S.
Medicare Population. J Bone Joint Surg Am. 2012
Oct 1 7; 94(20): 1 825–1832. doi: 1 0.2106/
JBJS.K.00569.
11 Hospital Quality Initiatives. Measure
Methodology. Available at: https://www.cms.gov/
Medicare/Quality-Initiatives-Patient-AssessmentInstruments/HospitalQualityInits/MeasureMethodology.html. See Hip and Knee Arthroplasty
Complications zip file under downloads. Accessed
on April 10, 2015.
12 Guidelines for the management of adults with
hospital-acquired, ventilator-associated, and
healthcare-associated pneumonia. American
Thoracic Society, Infectious Diseases Society of
America. Am J Respir Crit Care Med.
2005;171(4):388.
13 https://orthoinfo.aaos.org/topic.cfm?topic=
A00377.
14 Taunton MJ, et al. Direct Anterior Total Hip
Arthroplasty Yields More Rapid Voluntary
Cessation of All Walking Aids: A Prospective,
Randomized Clinical Trial The Journal of
Arthroplasty. Volume 29, Issue 9, Supplement,
September 2014, Pages 169–172.
15 Vissers MM, et al. Recovery of Physical
Functioning After Total Hip Arthroplasty:
Systematic Review and Meta-Analysis of the
Literature. Physical Therapy May 2011 vol. 91 no.
5 615–629.
16 Post-Acute Care Episodes Expanded Analytic
File. Assistant Secretary for Planning and
Evaluation. U.S. Department of Health and Human
Services. April 2011.
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Finally, payment and length of stay
analyses found the average length of
stay in PAC during a 90-day postdischarge episode for MS–DRG 470 to
be 47.3 days, indicating that a longer
period post-discharge of 90 days is
reasonable as a proposal to end the
episode of care.17 We noted that these
analyses did not include any time
between hospital discharge and the start
of PAC.
TABLE 6—COST AND LENGTH OF STAY STATISTICS FOR MS–DRG 470 FOR VARIOUS EPISODE DURATIONS
Statistics for DRG 470
(2006 data)
30-day
episode
Mean Medicare spending per hospital discharge .......................................................................
(acute+PAC+physician) ...............................................................................................................
Mean payment for anchor hospitalization ...................................................................................
Mean payment for PAC ...............................................................................................................
Mean payment for physicians (during anchor hospitalization) ....................................................
Mean payment for readmission (includes all PAC users, even if no readmission occurs during
the episode) .............................................................................................................................
Mean length of stay (LOS) for PAC ............................................................................................
60-day
episode
90-day
episode
$18,838
$10,463
$6,835
$1,540
$20,343
$10,463
$8,339
$1,540
$21,125
$10,463
$9,122
$1,540
$550
25.5 days
$929
39.6 days
$1,242
47.3 days
Other tests of bundled payment
models for hip and knee replacement
have used 90-day post-discharge
episodes.18 We also noted that despite
BPCI Model 2 allowing participants a
choice between 30-, 60-, or 90-day post-
discharge episodes, over 86 percent of
participants have chosen the 90-day
post-discharge episode duration for the
17 Analysis of Post-Acute Care Episode
Definitions File. https://innovation.cms.gov/
initiatives/bundled-payments/learning-area.html.
18 Ridgely MS, et al. Bundled Payment Fails To
Gain A Foothold In California: The Experience Of
The IHA Bundled Payment Demonstration. Health
Affairs, 33, no.8 (2014):1345–1352.
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Note: Data are per PAC user (88% of beneficiaries hospitalized under MS–DRG 470 are discharged to PAC). PAC users are defined as beneficiaries discharged to SNF, IRF, or LTCH within 5 days of discharge from the index acute hospitalization, or discharged to HHA or hospital outpatient therapy within 14 days of discharge from the index acute hospitalization. Mean LOS for PAC does not include any gap between hospital
discharge date and start of PAC.
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LEJR episode. Furthermore, a 90-day
post-discharge episode duration aligns
with the 90-day global period included
in the Medicare Physician Fee Schedule
(MPFS) payment for the surgical
procedure.
We also considered proposing a 60day post-discharge episode duration,
but the full transition of care following
LEJR would exceed this window for
some beneficiaries, especially those who
are discharged to an institutional PAC
provider initially and then transition to
home health or outpatient therapy
services for continued rehabilitation.
According to a report from ASPE on
Medicare beneficiaries receiving PAC
following major joint replacement in
2006, 13 percent first receive SNF
services and then receive HHA
services—with a total mean episode
duration of 56.8 days.19 An additional
9.2 percent receive HHA services first
and then receive outpatient therapy
services—with a total mean episode
duration of 78.7 days. Finally, 6.7
percent receive IRF services first and
then HHA services (total mean length of
stay 55.3 days), and 4.8 percent receive
SNF services first and then outpatient
therapy services (total mean length of
stay 71.5 days). The remainder only
receives one type of PAC.
Therefore, in order to be inclusive of
most possible durations of recovery, and
services furnished to reach recovery, we
proposed the 90-day post-discharge
episode duration for CJR. We stated our
belief that beneficiaries will benefit
from aggressive management and care
coordination throughout this episode
duration, and hospitals will have
opportunities under CJR to achieve
efficiencies from care redesign during
the 90-day post-discharge episode
period.
We sought comment on our proposal
to end the episode 90 days after the date
of discharge from the anchor
hospitalization, as well as on the
alternative we considered of ending the
CJR episode 60 days after the date of
discharge.
The following is a summary of the
comments received and our responses.
Comment: Most commenters
supported the 90-day post-discharge
episode duration. Many of these
commenters provided rationales for
supporting the 90-day duration (as
compared to 60 days or other shorter
durations), such as: It is a clinically
appropriate length to manage an LEJR to
recovery; it creates strong incentives for
19 Examining Post-Acute Care Relationships in an
Integrated Hospital. Assistant Secretary for
Planning and Evaluation. U.S. Department of Health
and Human Services. February 2009
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collaboration for multiple providers
across the care continuum that improves
care transitions and care coordination; it
will promote better long-term results; it
aligns with quality measures; and it is
the most popular timeframe selected for
BPCI Model 2. Some of these
commenters asserted that a shorter
duration is not sufficiently long to
capture the vast majority of issues
arising directly from LEJR procedures
and could put beneficiary care at risk by
encouraging providers to reduce
utilization inappropriately or shift
utilization outside of an episode.
A few commenters supported a 90day episode duration, but recommended
that we revise the 90-day post-discharge
episode duration to begin from the date
of surgery instead of discharge, thereby
aligning the episode with the MPFS
global surgical period and billing
policies. A commenter who appeared to
believe that CMS proposed to begin the
CJR episode immediately after discharge
from the anchor hospitalization and
extend the episode 90 days posthospital discharge, rather than upon
admission for the anchor hospitalization
as CMS actually proposed, asserted that
beginning the episode after hospital
discharge would make it difficult to
understand and account for patient
acuity changes within the episode in the
post-discharge period as the hospital
length-of-stay is related to the PAC
acuity of the beneficiary following
hospital discharge, especially if the
beneficiary has comorbidities. In other
words, the commenter believed that
beneficiaries with comorbidities would
be more likely to have longer anchor
hospitalizations and associated higher
intensity of PAC services, yet CMS
would not understand these
relationships if the anchor
hospitalization was not included in the
episode.
Several commenters supported a 60day post-discharge episode duration
because LEJR patients are nearly fully
recovered within 60 days. Some
commenters asserted that PAC services
associated with LEJR rarely occur after
60 days post-discharge; some
commenters cited data that the majority
of services for patients with LEJR
surgery occur within two months of
discharge with only a 6.2 percent
change in the total cost of an episode
between a 60-day episode and a 90-day
episode. Some of these commenters
asserted that a 60-day episode would be
sufficient to evaluate quality and cost,
and a longer duration would increase
the financial risk for hospitals without
providing significant value to CMS.
Some commenters asserted that a 90-day
duration increases the risk that
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unrelated random events that occur well
after surgery will disadvantage the
hospitals by unfairly impacting
participants’ performance.
Some commenters recommended a
hybrid approach, with every service
within the first 30 days post-discharge
assumed to be related unless
specifically excluded, and services in
days 31–90 included only if they meet
specified criteria for relatedness.
Some commenters recommended that
the episode end prior to 60 days postdischarge. A commenter recommended
an episode length of 45 to 60 days,
asserting that hospital admissions past
the 45 to 60 day window would be for
chronic medical admissions that are
unrelated to the LEJR procedure. A few
commenters recommended that we limit
the episode to 30 days citing various
rationales, such as: A SNF stay must
commence within 30 days of a
hospitalization; 30 days better aligns
with other quality improvement
initiatives such as readmissions;
analyses by Medicare Payment Advisory
Commission (MedPAC) and the
Congressional Budget Office that found
that the majority of a bundled payment’s
episode costs are incurred during the
first 30 days; and hospitals may find it
difficult to manage follow-up care after
30 days if patients have more than one
residence. Several commenters asserted
that multiple factors can exacerbate
comorbidities in the period beyond 30
days post-operatively, and a model of
longer duration that broadly defines
related services could result in
participant hospitals being more
cautious about selecting patients for
LEJR and complex patients being
discouraged from seeking LEJR
procedures in a participant hospital. A
few of these commenters noted that
Tennessee and Arkansas only include
30 days post-discharge for unrelated
chronic conditions in their bundled
payment episodes. A commenter shared
its experience that, while nearly all
patients are diligent about keeping 14day and 30-day post-operative
appointments, those with good
outcomes are less likely to return for
appointments at 90 days and beyond,
resulting in potentially skewed
outcomes as patients with
complications are much more likely to
keep a follow-up appointment at 90
days.
Some commenters recommended
giving participant hospitals the
flexibility to define the episode
duration, either as a duration for all of
a participant hospital’s LEJR episodes,
or to choose a duration based on a
patient’s clinical condition and
comorbidities. A couple of commenters
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recommended that if CMS offers
participants the option to choose the
duration, consistent with BPCI, CMS
should lower the discount percentage
for those willing to take the longer
episodes. A commenter disagreed with
CMS’ cited rationale of the operational
simplicity of a single duration for all
LEJR episodes by noting that BPCI
Model 2 operationalized a variety of
different bundles and gave participants
the choice of three durations for 48
different clinical episodes.
Other commenters suggested even
longer episode durations. A commenter
recommended increasing the episode
duration to 150 days post-discharge to
promote better long-term results and
reduce the likelihood of delaying care
beyond the end of the episode,
specifically urging CMS to adopt a
longer episode period for certain
clinically-complex subpopulations with
predictably longer recovery timeframes.
For outcome and quality measurement
purposes, some commenters
recommended that participant hospitals
be held accountable for a longer period,
with suggestions of six months, a year,
and even two to three years. A
commenter recommended increasing
the episode duration to two years to
better manage the improvements for the
entirety of the treatment. A commenter
recommended increasing the episode
duration to five years to account for the
late effects of sub-optimal implant
selection.
Response: We appreciate the support
of many commenters for the proposed
90-day post-hospital discharge CJR
model episode duration. We agree with
the commenters that this relatively long
episode duration should capture the
great majority of health care services
that are related to the episode, as well
as the beneficiary’s return to function
and short- and medium-term health
outcomes. We believe this episode
duration provides participant hospitals
with a substantial period of time in
which to work to improve the quality
and efficiency of LEJR episode
performance for beneficiaries who
undergo LEJR surgery at their hospital.
We have substantial BPCI Model 2
experience with Awardees engaged in
testing 90-day LEJR episodes, and note
that the vast majority of Awardees have
selected the 90-day episode duration,
compared to the 30-day and 60-day
alternative durations that are available
in the model. Our goal is to incentivize
efficient high quality care that returns
people to the community, and we
believe that a 90-day post-discharge
duration reflects a full continuum of
clinical services and transition of care
following LEJR procedures for the
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average beneficiary, at which time the
patient’s functional recovery is
relatively complete and the patient is
able to resume most normal activities of
daily living.
Due to the concentration of Medicare
spending in the earlier part of the
episode, we also believe that a 90-day
episode duration only nominally
increases the hospital’s financial risk
when compared to 30 or 60 days. While
we understand that uncommon events
during the 90-day episode may occur for
an individual beneficiary, resulting in
an unanticipated or unavoidable need
for costly health care services, we
believe that our episode definition that
excludes unrelated items and services
and our payment policies, namely the
adjustment for high payment episodes
and stop-loss policies discussed in
sections III.C.3. and III.C.8. of this final
rule, provide sufficient protections for
participant hospitals from undue
financial responsibility for the care of
unrelated clinical conditions as well as
for unusual circumstances. We also
believe that shorter episode durations
may incur a higher clinical risk for
beneficiaries if participants delay
services beyond the episode, and the
risk to beneficiaries of this response by
providers to episode payment that can
be minimized by the longer 90-day
episode duration that we proposed. We
refer readers to sections III.F.3. and 5. of
this final rule for discussion of our
plans to monitor for access to care and
delayed care.
In response to those commenters
requesting a hybrid approach where
CMS would include a broader set of
related services in the 30 days following
discharge from the anchor
hospitalization and a more limited set of
related services from days 31 to 90
because of the closer clinical link of a
beneficiary’s clinical conditions in the
first 30 days to the events during the
anchor hospitalization itself, we
emphasize that the CJR model is an
episode payment model where many
Medicare beneficiaries who receive PAC
services as part of their post-operative
recovery from surgery will also have
underlying health conditions that may
be affected by the surgery itself and care
throughout the recovery period and that
require attentive, flexible management if
good health outcomes are to be
achieved. Because PAC services are
designed to be comprehensive in nature,
we believe that the same Part A and Part
B services should be included
throughout the episode duration
because PAC providers should broadly
address the beneficiary’s health care
needs in high quality, efficient episodes,
even though the anchor hospitalization
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itself may be more remote from the
beneficiary’s health needs as the time
from hospital-discharge increases. As
discussed in section III.A.3. of this final
rule, we have identified hospitals as the
financially responsible organization for
the episode, although episode quality
and cost performance will clearly be
related in part to the quality and
efficiency of care furnished by other
providers and suppliers treating the
beneficiary throughout the episode. We
expect that participant hospitals will
develop the care pathways and
partnerships with other providers and
suppliers necessary for the hospital to
be successful in this responsibility, and
this model provides a variety of tools
that should be helpful to participant
hospitals, such as waivers of Medicare
program rules, the opportunity to
engage in certain financial
arrangements, and the ability to offer
certain beneficiary incentives (as
discussed in sections III.C.11. and
III.C.10. of this final rule, respectively).
We appreciate the interest of some
commenters in significantly longer
episodes than the 90 days post-hospital
discharge period we proposed, in order
to include the longer recovery period
that some beneficiaries may require as
well as to account for longer term health
outcomes, because the timing or
frequency of joint replacement revisions
may be related to implant selection,
surgical technique, or other aspects of
the primary joint replacement
procedure. However, as previously
noted, we believe that a 90-day postdischarge duration reflects a full
continuum of clinical services and
transition of care following LEJR
procedures for the average CJR
beneficiary, and we do not believe it
would be an appropriate test of the
model to extend the CJR episode
duration beyond 90 days post-hospital
discharge to reflect the longer recovery
needed by some beneficiaries.
Moreover, as noted previously in this
section, the CJR model focuses on the
surgical procedure and the associated
recovery, and at this time, we are not
testing a model of longer term outcomes.
Therefore, we are not going to
incorporate a longer time period in the
episode, and will not include periods
beyond then, other than to monitor the
30-day post-episode period. The 30-day
post-episode period is discussed in
section III.C.8.d. of this final rule, where
we describe the CJR model policy that
holds participant hospitals financially
responsible for significantly increased
Medicare Parts A and B spending in the
30 days immediately following the end
of the episode. We note that the
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evaluation described in section IV. of
this final rule will focus on a variety of
key topics including potential
unintended consequences such as cost
shifting beyond the CJR model episode
period and stinting on medically
necessary and appropriate care. As
such, CMS anticipates the examination
of claims submitted beyond the 90-day
episode will be incorporated in the
evaluation strategy. Finally, we
maintain that allowing for multiple
durations would be administratively
complex for a model of this scope as it
would be akin to implementing multiple
models concurrently, each with its own
customized payment calculations, risk
adjustments, and other elements. We do
not believe a variable approach such as
is used in BPCI, which is a voluntary
model, is appropriate for this large test
of LEJR episode payment for all IPPS
hospitals in the selected MSAs, as it
would greatly increase the
administrative complexity of the CJR
model. We also believe that a standard
duration for all episodes is important for
this test of LEJR episode payment in
providing us with a larger sample of
episodes of the same duration from
which we can learn.
Regarding the request to align the CJR
model episode duration with the MPFS
by beginning the 90-day duration on the
date of surgery, rather than on the date
of discharge from the hospital, we do
not agree with this suggestion. We
believe that the 90-day global surgical
period for LEJR procedures under the
MPFS lends support for an episode
duration under the CJR model that is
similar, because beneficiaries have a
significant post-operative recovery
period throughout which close care
coordination and management among
treating providers is important to
beneficiary return to function. The
MPFS global payment policy sets an
expectation that the operating surgeon
plays a significant role in caring for
beneficiaries in the typical case that
extends up to 90 days following surgery.
However, using this same 90-day
accounting methodology under the CJR
episode would lead to model episodes
including variable post-discharge
lengths because the duration of the
anchor hospitalization, which can vary
substantially, would count toward the
90 days. We are interested in testing
under the CJR model an episode
duration that is most likely to cover the
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time for the beneficiary’s full recovery
and return to the community so we
believe that including a standard length
of 90 days post-hospital discharge is the
best way to ensure that each CJR
beneficiary’s episode includes the same
length of post-hospital discharge
recovery in the episode. We do not
believe the minor 90-day definitional
differences between this model and the
MPFS global billing policies for LEJR
procedures should create significant
problems for physicians collaborating
with participant hospitals in the episode
care of CJR model beneficiaries.
In response to the commenter
concerned that starting the bundle after
hospital discharge would make it
difficult to account for patient acuity
changes post-discharge under the CJR
model, we want to emphasize that the
CJR model episode actually begins on
the day of admission for the anchor
hospitalization and extends 90 days
post-hospital discharge, with the day of
hospital discharge counting as the first
day in the 90-day post-hospital
discharge period. Thus, the episode
includes the full anchor hospital lengthof-stay that may affect changes in
patient acuity in the post-discharge
period. We note that according to this
episode duration definition, episodes
for individual beneficiaries will have a
variable total length that depends on the
length of the anchor hospitalization. For
example, the average length-of-stay for
MS–DRG 470 is 3 days, so the average
CJR model episode length for an
individual beneficiary would be 92
days. The average length-of-stay for MS–
DRG 569 is 6 days, so the average CJR
model episode length for an individual
beneficiary would be 95 days. Despite
their variable total length, all CJR model
episodes will include the complete
anchor hospitalization and 90 days posthospital discharge and, therefore, will
include all related items and services
furnished to the beneficiary throughout
the episode, including those provided to
address beneficiary acuity changes
during the hospitalization and postdischarge period.
Summary of Final Decisions: After
consideration of the public comments
we received, we are finalizing our
proposal to end the episode 90 days
after discharge from the anchor
hospitalization. We are revising the
definition of Episode of care to clarify
that the day of discharge itself counts as
the first day of the post-discharge period
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and adding the same clarification to
§ 510.210(a)
The final definitions policies for
ending an episode are set forth in
§ 510.2 and
§ 510.210(a).
C. Methodology for Setting Episode
Prices and Paying Model Participants
Under the CJR Model
1. Background
As described in section II.B. of the
proposed rule, we proposed to use the
CJR episode payment model to
incentivize participant hospitals to work
with other health care providers and
suppliers to improve quality of care for
Medicare beneficiaries undergoing LEJR
procedures and post-operative recovery,
while enhancing the efficiency with
which that care is provided. We
proposed to apply this incentive by
paying participant hospitals or holding
them responsible for repaying Medicare
based on their CJR episode quality and
Medicare expenditure performance. The
following sections describe our final
decisions for the—
• Performance years covered by the
model, the retrospective methodology
that will be applied, and the application
of two-sided risk beginning in the
second year of the model;
• Adjustments that will be made to
payments included in the episode;
• Episode price setting methodology;
• Use of quality performance in the
payment methodology;
• Process for reconciliation;
• Adjustments for overlaps with other
CMMI models and CMS programs;
• Limits and adjustments on
hospitals’ financial responsibility;
• Appeal procedures for
reconciliation;
• Financial arrangements and
beneficiary incentives; and
• Waivers of Medicare program rules.
2. Performance Years, Retrospective
Episode Payment, and Two-Sided Risk
Model
a. Performance Period
We proposed that the CJR model
would have 5 performance years. The
performance years would align with
calendar years, beginning January 1,
2016. Table 7 includes details on which
episodes would be included in each of
the 5 performance years.
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73325
TABLE 7—PROPOSED PERFORMANCE YEARS FOR CJR MODEL
Performance year
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1
2
3
4
5
.....................................
.....................................
.....................................
.....................................
.....................................
Calendar year
2016
2017
2018
2019
2020
.............................
.............................
.............................
.............................
.............................
Under our proposal, all episodes
tested in this model would have begun
on or after January 1, 2016 and ended
on or before December 31, 2020. We
noted that this definition would result
in performance year 1 being shorter than
the later performance years in terms of
the length of time over which an anchor
hospitalization could occur under the
model. We also noted that some
episodes that began in a given calendar
year may be captured in the following
performance year due to the episodes
ending after December 31st (for
example, episode beginning in
December 2016 and ending in March
2017 would be part of performance year
2). We stated our belief that 5 years
would be sufficient time to test the CJR
model and gather sufficient data to
evaluate whether it improves the
efficiency and quality of care for an
LEJR episode of care. Further, having
fewer than 5 performance years may not
provide sufficient time or data for
evaluation. The 5-year performance
period is consistent with the
performance period used for other
CMMI models (for example, the Pioneer
Accountable Care Organization (ACO)
Model).
The following is a summary of the
comments received and our responses.
Comment: Several commenters
supported our proposal for a 5-year
performance period as well as our
proposed start date of January 1, 2016.
However, a substantial number of
commenters expressed concerns over
the proposed start date and requested
that we delay implementation of the
model. Most of these commenters
expressed concerns about the ability of
participants to successfully participate
in the model, given the proposed
timeframes. Commenters noted that
participants would need additional time
for activities such as developing a new
infrastructure with respect to provider
networks, which would include
identifying and establishing contracts
with collaborators as well as
determining appropriate incentives and
gainsharing structures; identifying and
developing new care pathways and
performance metrics; and developing as
well as modifying accounting and IT
systems. In particular, a number of
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Episodes included in performance year
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Episodes
Episodes
Episodes
Episodes
Episodes
that
that
that
that
that
start on or after January
end between January 1,
end between January 1,
end between January 1,
end between January 1,
1, 2016, and end on or before December 31, 2016.
2017, and December 31, 2017, inclusive.
2018, and December 31, 2018, inclusive.
2019, and December 31, 2019, inclusive.
2020, and December 31, 2020, inclusive.
commenters expressed concern with the
proposed start date in light of the
requirement that hospitals begin to
assume risk in the second year of the
model, which is discussed further later
in this section. Moreover, given
variation in hospital preparedness, these
kinds of issues could be particularly
acute for certain kinds of hospitals, for
example, smaller hospitals or those with
more limited resources. Also, as
discussed in section III.E of this final
rule, commenters noted that their ability
to implement the previously stated
changes would be impeded by not
having received baseline and episodelevel data from CMS until after the
proposed start date. Commenters
indicated that these data would be
essential to identifying opportunities
and strategies for quality and efficiency
improvement, and that the model
should be delayed until after they have
had a chance to review and understand
their own episode data.
We also received comments
suggesting that implementation of the
model is premature and that it should
be delayed until certain actions or
events have occurred, for example, until
certain quality measures have been
developed, data required under the
Improving Medicare Post Acute Care
Transformation Act of 2014 (Pub. L.
113–185, enacted October 6, 2014)
(IMPACT Act) have been collected or
analyzed, or CMS has considered the
results of other bundled payment
models such as BPCI. For example,
several commenters requested a phased
implementation of the CJR model, due
to the limited evaluation results that
have been publicly released to date for
BPCI, and to allow for testing and
monitoring of the CJR model prior to
full implementation. Another
commenter asserted that a phased-in
approach to implementing CJR is
appropriate, given that while episodebased payment models have shown
potential to reduce cost, rigorous studies
and evaluation data on episode-based
payment models are limited. Some
commenters expressed the view that
CMS’ timeline ignores multiple
competing mandates that hospitals and
other providers have, for example, ICD–
10–CM implementation as well as EHR
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Meaningful Use and other qualityrelated programs.
In addition, we received a comment
urging a delayed start date due to
concerns on how requirements with
respect to the civil monetary penalty
(CMP) law (sections 1128A(a)(5), (b)(1)
and (b)(2) of the Act), the Federal Antikickback statute (section 1128B(b)(1)
and (2) of the Act), or the physician selfreferral prohibition (section 1877 of the
Act) would apply under the model. For
example, a commenter noted that the
proposed rule offered insufficient
protection from certain statutory and
regulatory risks associated with
developing coordinated care
arrangements among providers and that
significant ambiguity and challenges
existed with respect to compliance with
these requirements.
Commenters also stated that in
contrast to our proposed start date for
the CJR model, CMS allowed voluntary
BPCI participants, who were more likely
to be well positioned to participate in an
episode-based payment model, at least
one year to consider their episode data,
yet many of them likely found the
program and timing demands
challenging. Further, mandating the
program, especially for unprepared
participants, could result in even greater
challenges, and increase the chance of
failure and disruption of health care
services for Medicare beneficiaries.
Some commenters offered examples
of how, in their view, implementing the
model by the proposed start date could
result in unintended consequences such
as reduced access for beneficiaries or
lower care quality. For example,
commenters suggested that the proposed
timeframe could cause hospitals to
make care redesign choices that reduced
access for beneficiaries or certain kinds
of beneficiaries such as those who posed
greater risk or that care quality could be
compromised because participants
would have had insufficient time to
implement new care practices.
Given these concerns, commenters
generally requested that we delay the
start date by a specific period of time,
for example, by three months, six
months, nine months or a year, with
most commenters requesting a delay of
nine months to a year. Some
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commenters recommended delay
periods of two years or more. In some
cases, commenters tied their proposed
delay period to an event, for example,
some period of time subsequent to
having received baseline and episodelevel data from CMS. Some commenters
requested that only the mandatory
aspect of the model be delayed,
allowing providers willing to participate
the opportunity to do so or, in the event
of a delayed start date, providers be
permitted to voluntarily opt-in to the
model prior to the date of
implementation. As such, providers
who had begun to prepare for the model
could begin to generate cost savings
while driving improvements in quality
and patient experience for LEJR
patients.
Response: We appreciate the
comments we received in support of our
proposed performance period and start
date. We also appreciate and are
persuaded by comments expressing
concerns that our proposed start date
does not provide sufficient time for
participants to implement the kinds of
changes needed to successfully
participate in the model, particularly
given that baseline data would not be
available until after our proposed start
date of January 1, 2016. Accordingly,
this final rule will delay the start date
of the model to April 1, 2016. Also, as
indicated in section III.E.4 of this rule,
we intend to make participating
hospitals’ baseline data available upon
request in advance of the April 1, 2016
start date, which will allow participants
the opportunity to assess their baseline
data as they consider changes to their
care practices in advance of the model’s
start date. Also, as discussed in section
III.C.8. of this final rule, we are reducing
the potential risk to participants in Year
2 by lowering the stop-loss limit from 10
percent to 5 percent (and from 20
percent to 10 percent in Year 3). We
believe that these changes will both
facilitate participants’ abilities to be
successful under this model and allow
for a more gradual transition to full
financial responsibility under the
model.
Table 8 includes details on which
episodes would be included in each of
the 5 performance years under this
delay.
TABLE 8—PERFORMANCE YEARS FOR CJR MODEL
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1
2
3
4
5
.................................
.................................
.................................
.................................
.................................
Calendar year
2016
2017
2018
2019
2020
Episodes included in performance year
...........................
...........................
...........................
...........................
...........................
Under this revised schedule, all
episodes tested in this model will have
begun on or after April 1, 2016 and
ended on or before December 31, 2020.
Additional discussion on how this
revised performance year schedule
affects the use of quality measures for
the model and the timeline for the
reconciliation process is included in
sections III.C.5. and III.C.6. of this final
rule.
We do not agree that a longer delay
is needed. Hospital participants will not
be financially responsible for repayment
to Medicare until the second
performance year of the model. In
addition, as discussed in section III.C.8.
of this final rule, we have further
limited financial risk to hospitals in
performance years 2 and 3 by lowering
stop-loss limits; specifically, from 10
percent to 5 percent in Year 2, and from
20 percent to 10 percent in Year 3.
Finally, while we note that commenters
are correct that voluntary BPCI
participants received claims data prior
to taking on risk under the BPCI model,
and in some cases had more than a year
to prepare for participation in BPCI, we
believe that providing claims data to
CJR participants in early 2016 and
beginning the model April 1, 2016 is
appropriate for several reasons. First, we
note that under BPCI, voluntary
participants in Phase I had the option of
receiving claims data for multiple
episodes, up to the 48 clinical episodes
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Episodes
Episodes
Episodes
Episodes
Episodes
that
that
that
that
that
start on or after April 1, 2016, and end on or before December 31, 2016.
end between January 1, 2017, and December 31, 2017, inclusive.
end between January 1, 2018, and December 31, 2018, inclusive.
end between January 1, 2019, and December 31, 2019, inclusive.
end between January 1, 2020, and December 31, 2020, inclusive.
included in the BPCI initiative. The CJR
model will only include one type of
episode, and as such we believe it is
reasonable for hospitals to begin to
analyze data and identify care patterns
and opportunities for care redesign for
this episode in our stated
implementation timeline. We also note
that due to the gradual implementation
of downside risk, we expect that
hospitals would spend the first
performance year of the model
analyzing data, identifying care
pathways, forming clinical and financial
relationships with other providers and
suppliers, and assessing opportunities
for savings under the model, utilizing
the quarterly claims data we provide to
them. This is similar to the approach we
took to allow hospitals to participate in
Phase I of BPCI prior to entering Phase
II (the risk-bearing phase). As noted in
this section, participant hospitals would
also be eligible to receive reconciliation
payments for performance year 1 if
actual spending is below the target
price. We believe that our
implementation timeline is reasonable,
given the financial opportunity for
hospitals to earn reconciliation
payments for performance year 1 and
the gradual transition to financial
responsibility.
We are also not persuaded by
commenters that implementation of the
model is premature or that it should be
delayed until results for BPCI or other
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episode-based payment models are
available. While we anticipate that the
BPCI model will offer valuable
information that should assist CMS in
developing bundling payment models,
the CJR model will offer additional
insights that are not available under the
BPCI model; in particular, insights with
respect to bundling payment models on
a mandatory rather than voluntary basis.
Thus, we will be able to observe how a
bundling payment model might work
with participants that would otherwise
not participate in such a model. As
such, we expect the results from this
model should produce data that are
more broadly representative than what
might be achieved under a voluntary
model. Also, this model tests a different
target pricing approach than the one
used in BPCI. BPCI uses a purely
participant-specific pricing approach,
rewarding participants for improving
based on their historical performance.
While this may incentivize historically
less efficient participants to improve,
there may not be as much incentive for
already efficient participants. The
regional target pricing approach for this
model, though, would consider a
participant hospital’s performance
relative to its regional peers. As part of
this test, we will learn whether our
alternative pricing approach in this
model will better incentivize
participants who are already delivering
high quality and efficient care while
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still incentivizing historically less
efficient providers to improve. We
would not be able to test such a regional
pricing approach under a purely
voluntary model because it is likely that
only the already high quality and
efficient providers would sign up.
We would note that we have released
final evaluation results from the ACE
demonstration, which determined that
the demonstration led to reduced
episode spending with no adverse
impact on quality of care. Further, we
note that the significant level of
voluntary participation in BPCI, as well
as high participation in LEJR episodes
in particular in all BPCI models, signify
the potential for financial opportunity
for both hospitals and CMS to achieve
savings and improve quality of care
through an episode-based payment
model targeting LEJR procedures. As
further evaluation results for BPCI and
other models are available, we will
make such information available to the
public, and if necessary, could
incorporate lessons learned into the CJR
model. In addition, in section III.F. of
this final rule, we detail our plans to
monitor care to ensure beneficiaries’
access to quality and timely health care
is maintained under the CJR model.
While we acknowledge the benefits of
having more rigorous evidence to
support the success of episode-based
payment models, we believe that the
aforementioned findings and
encouraging preliminary evaluation data
from our prior and current bundled
payment models and demonstrations
support our plan to more broadly test
the model’s effectiveness at this time.
Moreover, the mission of the Innovation
Center is to test models of care that
reduce spending while maintaining or
improving the quality of care furnished
to Medicare, Medicaid and CHIP
beneficiaries. Testing this model will
provide additional information for CMS
and providers on successful payment
structures and care redesign strategies.
We also disagree that the model
should be delayed simply because other
similar efforts are currently ongoing.
Rather, we would note that it is not
uncommon for CMS to test multiple
similar models concurrently rather than
sequentially. For example, CMS
currently has multiple primary carefocused models in testing, the
Comprehensive Primary Care Initiative
(CPCI) and the Multi-Payer Advanced
Primary Care Practice (MAPCP) models.
In addition, CMS has a permanent ACO
program (the Medicare Shared Savings
Program), as well as multiple other ACO
models in the testing phase. We believe
our decision to test the CJR model at
this time is consistent with the
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approach taken for other models and
programs to test payment models that
may be similar in design but are targeted
at different groups of providers. Such an
approach provides CMS with additional
information on the potential success of
various model and program aspects and
design features.
Likewise, we do not agree that the
model should be delayed until certain
other actions have occurred (for
example, after additional quality
measures have been developed or data
required under the IMPACT Act have
been analyzed) or because of the
multiple competing mandates faced by
hospitals and other providers. Since the
Medicare program’s inception,
providers have and will continue to
contend with constantly evolving
statutory and administrative
requirements that often require them to
make concurrent changes in their
practices and procedures. We do not
believe the CJR model is dissimilar to
those requirements.
As stated previously, some
commenters urged a delayed start date
due to concerns on how requirements
with respect to the CMP law (sections
1128A(a)(5), (b)(1) and (b)(2) of the Act),
the Federal Anti-kickback statute
(section 1128B(b)(1) and (2) of the Act),
or the physician self-referral prohibition
(section 1877 of the Act) would apply
under the model. In response, we would
note that for programmatic reasons
discussed elsewhere in this final rule
and to give providers additional time to
ensure compliance with applicable
laws, we are delaying the start date of
the model to April 1, 2016.
Also as discussed earlier in this
section, some commenters pointed to
the potential for unintended
consequences that could result from our
proposed start date, including
impediments to beneficiary access and
reduced quality of care. As discussed in
section III.D of this final rule, we are
including quality measures for purposes
of evaluating hospitals’ performance
both individually and in aggregate
across the model. Also, as discussed in
section III.F of this final rule, we are
making final policies and actions to
monitor both care access and quality.
We believe these features will help
ensure that beneficiary access to high
quality care is not compromised under
the model.
Final Decision: We are modifying our
proposed policy on the model
performance years and establishing
April 1, 2016 as the start date for the
model. Accordingly, we are replacing
‘‘January 1, 2016’’ in § 510.200(a) with
‘‘April 1, 2016.’’
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b. Retrospective Payment Methodology
As described in section III.B. of the
proposed rule, we proposed that an
episode in the CJR model begins with
the admission for an anchor
hospitalization and ends 90 days postdischarge from the anchor
hospitalization, including all related
services covered under Medicare Parts
A and B during this timeframe, with
limited exclusions and adjustments, as
described in sections III.B., III.C.3., and
III.C.7. of the proposed rule. The
episodes would be attributed to the
participant hospital where the anchor
hospitalization occurred.
We proposed to apply the CJR episode
payment methodology retrospectively.
Under this proposal, all providers and
suppliers caring for Medicare
beneficiaries in CJR episodes would
continue to bill and be paid as usual
under the applicable Medicare payment
system. After the completion of a CJR
performance year, Medicare claims for
services furnished to beneficiaries in
that year that were included in the
model would be grouped into episodes
and aggregated, and participant
hospitals’ CJR episode quality and
actual payment performance would be
assessed and compared against episode
quality thresholds and target prices, as
described in sections III.C.5. and III.C.4.
of the proposed rule, respectively. After
the participant hospitals’ actual episode
performance in quality and spending are
compared against the previous episode
quality thresholds and target prices, we
would determine if Medicare would
make a payment to the hospital
(reconciliation payment), or if the
hospital owes money to Medicare
(resulting in Medicare repayment). The
possibility for hospitals to receive
reconciliation payments or be subject to
repayment (note: participant hospitals
would not be subject to repayment for
performance year 1) was further
discussed in section III.C.2.c. of the
proposed rule.
We considered an alternative option
of paying for episodes prospectively by
paying one lump sum amount to the
hospital for the expected costs of the 90day episode. However, we believed such
an option would be challenging to
implement at this time given the
payment infrastructure changes for both
hospitals and Medicare that would need
to be developed to pay and manage
prospective CJR episode payments. We
noted that a retrospective episode
payment approach is currently being
utilized under BPCI Model 2. Also, we
expressed our belief that a retrospective
payment approach can accomplish the
objective of testing episode payment in
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a broad group of hospitals, including
financial incentives to streamline care
delivery around that episode, without
requiring core billing and payment
changes by providers and suppliers,
which would create substantial
administrative burden. However, we
sought comment on potential ways to
implement a prospective payment
approach for CJR in future performance
years of the model.
The following is a summary of the
comments received and our responses.
Comment: Commenters submitted
mixed responses on our proposed
retrospective payment methodology.
Many comments we received expressed
support for our proposed retrospective
model. Some of these commenters
indicated that, since it would build
upon existing payment system
infrastructures and processes, a
retrospective model would be most
administratively feasible and
straightforward as well as involve fewer
infrastructure changes and logistical
challenges than would be required
under a prospective model. A
commenter noted that a retrospective
model would allow providers to gain
experience with a bundling payment
model without altering existing revenue
cycle practices. Further, the availability
of fee-for-service payments under a
retrospective model would maintain a
predictable cash flow for participants in
the model.
Some commenters expressed support
for the proposed retrospective
methodology provided that certain
conditions existed. For example, a
commenter expressed support for this
methodology provided that payment
reconciliation could be available on a
quarterly basis. Another commenter
supported the retrospective
methodology provided that beneficiaries
had access to any provider they chose
and were not limited to those with
whom a hospital had a contractual
arrangement.
Response: We appreciate the
comments we received that were in
support of our proposed retrospective
payment methodology, and concur with
commenters’ views on some of the
benefits of this model. As discussed
further in section III.C.6. of this final
rule, we are making final our proposed
reconciliation on an annual basis. Also,
as further discussed in section III.F.2. of
this final rule, because hospitals in
selected geographic areas will be
required to participate in the model,
individual beneficiaries will not be able
to opt out of the CJR model. However,
the payment model does not limit a
beneficiary’s ability to choose among
Medicare providers and suppliers or the
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range of services that are available to
them. Beneficiaries may continue to
choose any Medicare enrolled provider
or supplier, or any physician or
practitioner who has opted out of
Medicare, with the same costs,
copayments and responsibilities as they
have with other Medicare services. Also,
although the proposed model would
allow participant hospitals to enter into
sharing arrangements with certain
providers and suppliers and these
preferred providers and suppliers may
be recommended to beneficiaries as long
as those recommendations are made
within the constraints of current law,
hospitals may not restrict beneficiaries
to any list of preferred or recommended
providers and suppliers that surpass any
restrictions that already exist under
current statutes and regulations.
Comment: In addition to the many
commenters supporting our proposed
retrospective methodology, we received
many other comments that opposed our
proposal and expressed support for
some type of prospective payment
model. Some commenters expressed the
view that our proposed model was
complex, complicated by variation in
payment policies across Medicare FFS
payment models, and needed further
refinement. Others stated that as
compared to a prospective payment
model, a retrospective model is less
effective at holding providers
accountable or in stimulating the kinds
of behavior changes that are needed to
achieve the goals of the program. For
example, because providers are
expected to change their behavior in
anticipation of a reward that might
occur several months later, the model
diminishes the incentive for providers
to change their behavior. Moreover,
bonuses and penalties are not
sufficiently correlated with
performance. Further, a retrospective
model could limit the availability of
resources for providers to invest in the
changes needed to support and sustain
behavior change and high-quality care.
Some of the criticisms we received
focused on the potential effects of a
retrospective model on beneficiaries’
costs. For example, some commenters
expressed concerns on whether
beneficiaries would or even could see
cost-sharing reductions when a provider
achieves savings under a retrospective
model. Another comment suggested that
as compared to a prospective model,
payments under a retrospective model
are more difficult to be incorporated
into tools designed to help consumers
shop for facilities and providers and
reduced pricing predictability for the
consumer.
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In light of these concerns, many
commenters proposed that CMS adopt
or eventually transition to some kind of
prospective payment model or hybrid
model. Commenters suggested that
doing so would improve accountability
for costs and quality, strengthen risk/
reward relationships, better support
efforts to transition away from FFS,
encourage providers to adhere to
evidence-based clinical guidelines,
reduce unnecessary or duplicative care,
and help participants invest early in
supportive resources, such as health
information technology, care
coordination tools, and infrastructure
development to support accountability
for quality and costs. A commenter
offered the view that information
technology solutions are now available
that support prospective payment
models with minimal burden and
disruption to hospitals—concerns that
have discouraged the adoption of
prospective models.
Some examples of prospective models
that were suggested would be for CMS
to—
• Establish an extended DRG that
includes hospital, physician, and PAC
services for some period of time (for
example, 30, 60, 90 days);
• Make a prospective payment to
hospitals that are then distributed to
their partners based on volume, acuity,
quality, and efficiency;
• Withhold some percentage of the
total payment that would be intended
for downstream partners. Hospitals
would subsequently distribute these
payments to partners based on their
ability to meet quality and efficiency
targets;
• Move toward a prospectively
negotiated case rate to foster
collaboration among all clinicians
involved in patient care and provide
predictable pricing. For example, give
facilities a financial incentive to assume
the greater risk and uncertainty inherent
in a prospective bundle by reducing or
eliminating the two percent discount
from the payment benchmark or
narrowing the definition of ‘‘related
care’’ in the 90-day post-discharge; and
• Allow physicians to lead a team
where the participating physician and
their patient decide which other
providers and suppliers would be
involved in and what the treatment plan
would be for the episode. The team
would designate or create a jointly
governed management organization that
would be paid through new prospective
episode codes. Other providers,
including the hospital, could be paid by
that same organization or through
existing Medicare payment systems.
Medicare would pay a single bundled
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payment amount to cover the costs of all
of the services in that episode. The
hospital and other providers and
suppliers on the team could be paid
either through the management
organization or through traditional
Medicare payment systems, but only by
one of these sources. Amounts paid
through traditional payment systems
would be deducted from the amount
paid to the management organization.
In addition to comments supporting a
prospective payment model, we
received comments explicitly
expressing concern about adopting such
a model. For example, a commenter
expressed the view that non-hospital
providers and suppliers, including
physicians and PAC providers, would
likely be concerned with a policy that
would allow hospitals complete
authority to allocate payments among
participating providers and suppliers or
to be empowered with functions and
authorities typically associated with
Medicare Administrative Contractors
(MACs). Moreover, a prospective
payment methodology would exacerbate
anti-competitive concerns with respect
to the proposed model in general.
Response: We appreciate the
comments we received in opposition to
our proposed retrospective model.
While we believe that our proposed
retrospective payment model would be
effective in encouraging providers to
improve care quality while better
controlling the costs of the care, we also
share commenters’ optimism on the
potential benefits and effectiveness of
prospective models with respect to
improving accountability for costs and
quality, strengthening risk/reward
relationships, better supporting efforts
to transition away from FFS, and
encouraging providers to adhere to
evidence-based clinical guidelines
while reducing unnecessary or
duplicative care. We also are pleased
that information technology solutions
are being developed to support
prospective payment models.
We agree with commenters that there
are complexities and potential
complications associated with a
retrospective model and anticipate that
further refinements will likely be
needed with whatever kind of bundling
model that is implemented. Therefore,
we do not believe that the complexities
and potential complications with our
proposed model are significantly
different than what occurs with other
Medicare payment models, particularly
any of the more novel ones. Likewise,
we do not believe that such
complexities or complications would be
mitigated simply by adopting a
prospective model. Moreover, both CMS
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and some of the commenters have noted
that adoption of a prospective model
could result in potentially significant
complexities and logistical issues as
well.
We also do not agree with the view
suggesting that adoption of a
retrospective model could limit the
availability of resources for providers to
invest in the changes needed to improve
care quality and costs. Under our
retrospective model, participant
hospitals and other providers and
suppliers will continue to bill and be
paid under FFS Medicare as they would
in the absence of the model that should
result in a revenue stream comparable to
what they would be absent the model,
all else equal.
While we agree with the comment
stating that beneficiaries will not see a
reduction in their cost-sharing for joint
replacement services under this model,
we do not see this as being unique to the
CJR model or a reason to not test it. To
the contrary, if successful, our model
will improve the quality of care and
outcomes for these beneficiaries as well
as better control costs of care. For
example, if successful, we believe the
model could help to limit or mitigate
avoidable costs incurred by these
beneficiaries such as costs associated
with avoidable hospital readmissions.
Last, we also do not see the potential
challenges of integrating a retrospective
payment methodology into sites
designed to compare health care options
as a reason to not test our proposed
model or as being an insurmountable
problem.
Based on the comments that we
received, we believe there is support for
both prospective and retrospective
payment models. We also continue to
believe that a retrospective payment
model can accomplish the objective of
testing episode payments with a broad
group of hospitals, by including
financial incentives that will streamline
care delivery while producing less
administrative burden for providers
than would be possible with a
prospective model. Accordingly, we
will be implementing a retrospective
payment model at this time as we had
proposed. We appreciate the various
examples of prospective models that
commenters suggested for CMS’
consideration, and will consider these
examples along with other options to
potentially be tested in the future.
Final Decision: After considering the
public comments we received, we are
finalizing our proposal to implement a
retrospective payment model.
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73329
c. Two-Sided Risk Model
We proposed to establish a two-sided
risk model for hospitals participating in
the CJR model. We proposed to provide
episode reconciliation payments to
hospitals that meet or exceed quality
performance thresholds and achieve
cost efficiencies relative to CJR target
prices established for them, as was
defined later in sections III.C.4. and
III.C.5. of the proposed rule. Similarly,
we proposed to hold hospitals
responsible for repaying Medicare when
actual episode payments exceed their
CJR target prices in each of performance
years 2 through 5, subject to certain
proposed limitations discussed in
section III.C.8. of the proposed rule.
Target prices would be established for
each participant hospital for each
performance year.
We proposed that hospitals will be
eligible to receive reconciliation
payments from Medicare based on their
quality and actual episode spending
performance under the CJR model in
each of CJR performance years 1 through
5. Additionally, we proposed to phase
in the responsibility for hospital
repayment of episode actual spending if
episode actual spending exceeds their
target price starting in performance year
2 and continuing through performance
year 5. Under this proposal in
performance year 1, participant
hospitals would not be required to pay
Medicare back if episode actual
spending is greater than the target price.
We considered an episode payment
structure in which, for all 5 performance
years of the model, participant hospitals
would qualify for reconciliation
payments if episode actual spending
was less than the episode target price,
but would not be required to make
repayments to Medicare if episode
actual spending was greater than the
episode target price. However, we noted
our belief that not holding hospitals
responsible for repaying excess episode
spending would reduce the incentives
for hospitals to improve quality and
efficiency. We also considered starting
the CJR payment model with hospital
responsibility for repaying excess
episode spending in performance year 1
to more strongly align participant
hospital incentives with care quality
and efficiency. However, we stated our
view that hospitals may need to make
infrastructure, care coordination and
delivery, and financial preparations for
the CJR episode model, and that those
changes can take several months or
longer to implement. With this
consideration in mind, we proposed to
begin hospitals’ responsibility for
repayment of excess episode spending
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beginning in performance year 2 to
afford hospitals time to prepare, while
still beginning some incentives earlier
(that is, reconciliation payments in year
1) to improve quality and efficiency of
care for Medicare beneficiaries. We
solicited comment on the proposed
incentive structure for CJR.
In an effort to further ensure hospital
readiness to assume responsibility for
circumstances that could lead to a
hospital repaying to Medicare actual
episode payments that exceed the
episode target price, we proposed to
begin to phase in this responsibility for
performance year 2, with full
responsibility for excess episode
spending (as proposed in the proposed
rule) applied for performance year 3
through performance year 5. To carry
out this ‘‘phase in’’ approach, we
proposed during the first year of any
hospital financial responsibility for
repayment (performance year 2) to set
an episode target price that partly
mitigates the amount that hospitals
would be required to repay (see section
III.C.4.b. of the proposed rule), as well
as more greatly limits (as compared to
performance years 3 through 5) the
maximum amount a hospital would be
required to repay Medicare across all of
its episodes (see section III.C.8. of the
proposed rule).
Comment: Several commenters
expressed support for our proposal to
establish downside risk for participants
as well as our proposal to gradually
phase-in risk beginning in year 2. We
received very few comments requesting
the elimination of risk from the model.
A commenter suggested that it was
unfair to require hospitals to bear risk
given that there were no limitations on
beneficiary choices. Also, some
commenters suggested that CMS
consider excluding specific kinds of
hospitals from the model, for example
small hospitals or hospitals with low
volume.
Most of the comments we received,
however, requested that CMS ease the
glide path to downside risk by either
delaying the requirement for two to
three years or by incorporating features
to better limit risk, for example, by
adjusting stop-loss caps. Some
commenters requested that we modify
the CJR model to be more like a shared
savings model as is used in Shared
Savings Program or the Pioneer ACO
model. In their view, this option would
be particularly attractive to smaller
organizations with lower episode
volumes that face a higher risk of
random episode cost variation or those
with limited financial resources.
Some commenters requested these
changes because of concerns that
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hospitals have little or no experience
bearing risk and thus need additional
time to be ready to do so. Other
commenters stated that our proposed
timeframe for implementing the model
and requiring hospitals to assume risk
was simply too aggressive and offered
too little time for hospitals to put in
place the care procedures and
infrastructure needed to be successful in
the model and in a position to bear risk.
In recommending that CMS delay
downside risk, a commenter observed
that payment features of other Medicare
efforts such as BPCI and the Pioneer
ACO model have been refined more
than once since their implementation,
which suggested that more can be
learned about the appropriate
framework for a risk model, particularly
given that the CJR model is untested.
Response: We appreciate the
comments we received in support of our
proposal to phase-in downside risk to
CJR participants beginning in Year 2 of
the model. We are also encouraged that
very few commenters opposed a
requirement for participants to assume
downside risk at some point in the
model.
We disagree with the view that it is
unfair to require hospitals to bear risk
while beneficiaries retain the ability to
choose among providers. As is the case
with other new payment models such as
the Shared Savings Program, the CJR
model is intended to identify ways to
improve care quality and better control
costs in the Medicare FFS program.
While Medicare beneficiaries may
choose between Medicare FFS and
Medicare Advantage, the majority of
beneficiaries—roughly two-thirds in
2015—continue to choose the former.
Accordingly, it is in the interest of the
Medicare program and its beneficiaries
for CMS to identify new models that
both maintain beneficiary choice while
improving care quality and costs. Also,
while we appreciate suggestions to
exclude certain kinds of hospitals, for
example, small hospitals or hospitals
with a low-volume of cases, we believe
our methodology for selecting
geographic units, as discussed in section
III.A.4.of this final rule, as well as
additional protections for certain kinds
of these hospitals, as discussed in
section III.C.8.c. of this final rule
sufficiently address these concerns.
We also understand that commenters
would like a more gradual transition to
downside risk, and in response to the
commenters’ concerns, CMS has taken
steps for hospitals to do so. As
discussed in section III.C.8. of this final
rule, we are reducing the potential risk
to participants in Year 2 by lowering the
stop-loss limit from 10 percent to 5
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percent (and from 20 percent to 10
percent in Year 3). We believe these
actions should assist participants both
with respect to preparing for the
assumption of risk as well as reducing
the level of risk they must initially bear.
We do not support the proposal to
change the CJR model to a shared
savings model as it is inconsistent with
our intent of testing whether a bundled
payments model will promote quality
and financial accountability for
episodes of care surrounding an LEJR or
reattachment of a lower extremity
procedure. Last, we recognize that our
model, as would any model or program,
will evolve and may require some
adjustments over time. To the extent
that this occurs with the CJR model, we
would make adjustments that were
deemed necessary, as we would do with
any of these other models and programs;
however, we do not believe the
potential for model adjustments is a
reason to delay the requirement for
hospitals to bear risk in the absence of
data suggesting that a problem actually
exists.
Final Decision: After considering the
public comments we received, we are
finalizing our proposal to phase-in risk
beginning in Year 2 of the model.
3. Adjustments to Payments Included in
Episode
We proposed to calculate the actual
episode payment amount by summing
together Medicare payments for each
non-cancelled CJR episode during the
model’s performance year for Parts A
and B claims for services included in
the episode definition, as discussed in
section III.B. of this final rule. We
proposed three adjustments to this
general approach for—(1) Special
payment provisions under existing
Medicare payment systems; (2) payment
for services that straddle the end of the
episode; and (3) high payment episodes.
We noted there would be further
adjustments to account for overlaps
with other Innovation Center models
and CMS programs; we refer readers to
section III.C.7. of the proposed rule.
We did not propose to adjust hospitalspecific or regional components of target
prices for any Medicare repayment or
reconciliation payments made under the
CJR model; CJR repayment and
reconciliation payments would be not
be included per the episode definition
in section III.B. of this final rule. We
stated in the proposed rule our belief
that including reconciliation payments
and Medicare repayments in target price
calculations would perpetuate the
initial set of target prices once CJR
performance years are captured in the 3historical-years of data used to set target
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prices, as described in section III.C.4. of
this final rule, beginning with
performance year 3 when performance
year 1 would be part of the 3-historicalyears. Including any prior performance
years’ reconciliations or repayments in
target price calculations would
approximately have the effect of
Medicare paying hospitals the target
price, regardless of whether the hospital
went below, above, or met the target
price in the prior performance years
before accounting for the reconciliation
payments or repayments. We stated in
the proposed rule our intent for target
prices to be based on historical patterns
of service actually provided, so we did
not propose to include reconciliation
payments or repayments for prior
performance years in target price
calculations.
a. Treatment of Special Payment
Provisions Under Existing Medicare
Payment Systems
Many of the existing Medicare
payment systems have special payment
provisions that have been created by
regulation or statute to improve quality
and efficiency in service delivery. IPPS
hospitals are subject to incentives under
the HRRP, the Hospital Value-Based
Purchasing (HVBP) Program, the
Hospital-Acquired Condition (HAC)
Reduction Program, and the Hospital
Inpatient Quality Reporting Program
(HIQR) and Outpatient Quality
Reporting Program (OQR). IPPS
hospitals and CAHs are subject to the
Medicare EHR Incentive Program.
Additionally, the majority of IPPS
hospitals receive additional payments
for Medicare Disproportionate Share
Hospital (DSH) and Uncompensated
Care, and IPPS teaching hospitals can
receive additional payments for Indirect
Medical Education (IME). IPPS hospitals
that meet a certain requirements related
to low volume Medicare discharges and
distance from another hospital receive a
low volume add-on payment. As
previously stated in section III.B.2.b. of
this final rule, acute care hospitals may
receive new technology add-on
payments to support specific new
technologies or services that
substantially improve the diagnosis or
treatment of Medicare beneficiaries and
would be inadequately paid otherwise
under the MS–DRG system. Also, some
IPPS hospitals qualify to be sole
community hospitals (SCHs) or MDHs,
and they may receive enhanced
payments based on cost-based hospitalspecific rates for services; whether a
SCH or MDH receives enhanced
payments may vary year to year, in
accordance with § 419.43(g) and
§ 412.108(g), respectively.
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Medicare payments to providers of
PAC services, including IRFs, SNFs,
IPFs, HHAs, LTCHs, and hospice
facilities, are conditioned, in part, on
whether the provider satisfactorily
reports certain specified data to CMS:
The Inpatient Rehabilitation Facility
Quality Reporting Program (IRF QRP),
the Skilled Nursing Facility Quality
Reporting Program (SNF QRP), the
Inpatient Psychiatric Facility Quality
Reporting Program (IPF QRP), the Home
Health Quality Reporting Program (HH
QRP), the Long-Term Care Hospital
Quality Reporting Program (LTCH QRP),
and the Hospice Quality Reporting
Program. Additionally, IRFs located in
rural areas receive rural add-on
payments, IRFs serving higher
proportions of low-income beneficiaries
receive increased payments according to
their low-income percentage (LIP), and
IRFs with teaching programs receive
increased payments to reflect their
teaching status. SNFs receive higher
payments for treating beneficiaries with
human immunodeficiency virus (HIV).
HHAs located in rural areas also receive
rural add-on payments.
ASCs have their own Quality
Reporting Program (ASC QRP).
Physicians also have a set of special
payment provisions based on quality
and reporting: The Medicare EHR
Incentive Program for Eligible
Professionals, the Physician Quality
Reporting System (PQRS), and the
Physician Value-based Modifier
Program.
In the proposed rule we stated our
intent with the CJR model is not to
replace the various existing incentive
programs or add-on payments, but
instead to test further episode payment
incentives towards improvements in
quality and efficiency beyond
Medicare’s existing policies. Therefore,
we proposed that the hospital
performance and potential
reconciliation payment or Medicare
repayment be independent of, and not
affect, these other special payment
provisions.
We proposed to exclude the special
payment provisions as discussed
previously when calculating actual
episode payments, setting episode target
prices, comparing actual episode
payments with target prices, and
determining whether a reconciliation
payment should be made to the hospital
or funds should be repaid by the
hospital.
Not excluding these special payment
provisions would create incentives that
are not aligned with the intent of the
CJR model. Not excluding the quality
and reporting-related special payment
provisions could create situations where
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73331
a high-quality or reporting compliant
hospital or both receiving incentive
payments, or those hospitals that
discharge patients to PAC providers that
receive incentives for being reporting
compliant, may appear to be ‘‘high
episode payment’’ under CJR.
Conversely, lower quality or hospitals
not complying with reporting programs
or both that incur payment reduction
penalties, or hospitals that discharge to
PAC providers that are not reporting
compliant, may appear to be ‘‘low
episode payment’’ under CJR. Such
outcomes would run counter to CJR’s
goal of improving quality. Also, not
excluding add-on payments for serving
more indigent patients, having low
Medicare hospital volume, being located
in a rural area, supporting greater levels
of provider training, choosing to use
new technologies, and having a greater
proportion of CJR beneficiaries with HIV
from CJR actual episode payment
calculations may inappropriately result
in hospitals having worse episode
payment performance. Additionally, not
excluding enhanced payments for
MDHs and SCHs may result in higher or
lower target prices just because these
hospitals received their enhanced
payments in one historical year but not
the other, regardless of actual
utilization. In the proposed rule we
stated our belief that excluding special
payment provisions would ensure a
participant hospital’s actual episode
payment performance is not artificially
improved or worsened because of
payment reduction penalties or
incentives or enhanced or add-on
payments, the effects of which we are
not intending to test with CJR.
In addition to the various incentive,
enhanced and add on payments,
sequestration came into effect for
Medicare payments for discharges on or
after April 1, 2013, per the Budget
Control Act of 2011 and delayed by the
American Taxpayer Relief Act of 2012.
Sequestration applies a 2 percent
reduction to Medicare payment for most
Medicare FFS services.
In order to operationalize the
exclusion of the various special
payment provisions in calculating
episode expenditures, we proposed to
apply the CMS Price (Payment)
Standardization Detailed Methodology
described on the QualityNet Web site at
https://www.qualitynet.org/dcs/Content
Server?c=Page&pagename=QnetPublic
%2FPage%2FQnetTier4&cid=12287
72057350. This pricing standardization
approach is the same as used for the
HVBP program’s Medicare spending per
beneficiary metric.
We sought comment on this proposed
approach to treating special payment
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provisions in the various Medicare
payment systems.
Comment: Several commenters
supported the exclusion of the various
special payment provisions in
calculating episode expenditures. They
agreed that doing so would help isolate
the effect of utilization and quality of
delivered care differences and remove
any distortions due to Medicare
payment policies outside the control of
providers.
A few commenters expressed concern
about how hospitals would be paid the
special payment adjustments that are
removed in calculating episode
expenditures. A commenter inquired
whether CMS would account for vendor
rebates for hip and knee implants and
medical devices, because rebates are not
uncommon and can impact the cost of
an LEJR procedure to a hospital.
Response: We appreciate commenters’
support to exclude the various special
payment provisions in calculating
episode expenditures.
As discussed in section III.C.2.b. of
this final rule, we are finalizing our
proposal such that all providers and
suppliers caring for Medicare
beneficiaries in CJR episodes will
continue to bill and be paid as usual
under the applicable Medicare payment
system, and determination of any
reconciliation payments or repayments
to Medicare will be made
retrospectively after the end of each
performance year. Therefore, special
payment adjustments will continue to
be paid as usual under the applicable
Medicare payment systems, but their
effects will be excluded when
reconciliation payment and repayment
to Medicare determinations are made
retrospectively. This final rule will not
affect how hospitals are currently paid
special payment adjustments.
Payments for hip and knee implants
and medical devices will also continue
as usual under the applicable Medicare
payment systems. For inpatient
admissions paid under IPPS, in
particular, implants and medical
devices not categorized as new
technology add-on payment would be
included in the MS–DRG payment and
would not be reimbursed separately. To
mirror the IPPS approach, we will not
separately account for vendor rebates in
the LEJR episode.
We note that as previously stated, we
plan to utilize the CMS Price (Payment)
Standardization approach in order to
remove the effects of special payment
provisions from calculations of
historical and performance period
episode spending. We will follow the
methodology, with modifications as
necessary to be consistent with our
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episode definition in section III.B. of
this final rule and to ensure timely
reporting of reconciliation results, for
the performance year reconciliations,
which begin 2 months after the
conclusion of a performance year. We
will account for the information
available at the time due to claims
runout, payment system updates, and
the calculations necessary to fully
implement the standardization
methodology. We will utilize the
methodology, consistent with our
episode definition, for the target price
calculations and subsequent
reconciliation calculations 14 months
after the conclusion of the performance
year, in which we incorporate full
claims runout and further account for
overlap with other models. This
approach will provide feedback and
reconciliation payments, as available, to
hospitals in a timely manner and as
accurately as feasible, while ensuring
the standardization approach is utilized
for the subsequent calculation, which
represents the final calculation for a
given performance period.
Comment: Many commenters
requested that CJR reconciliation
payments made to participant hospitals
be included when updating the set of 3historical-years used for calculating CJR
episode target prices. They stated that
the participant hospitals would be
providing care coordination services
that may not be directly reimbursed
under applicable Medicare FFS
payment systems. These services would
then, instead, be funded by
reconciliation payments. While
historical Medicare FFS claim payments
would account for hospitals’ costs for
providing services reimbursed under
Medicare FFS, they would not account
for hospitals’ costs for care coordination
services not reimbursed under Medicare
FFS. Commenters contended that if we
do not include reconciliation payments
when calculating target prices using the
updated set of historical years, we may
underestimate hospital costs and target
prices.
Response: We agree that participant
hospitals may undertake activities that
promote care coordination and
improved quality of care but are not
directly reimbursed under applicable
Medicare FFS payment systems. We
appreciate commenters’ suggestions to
include reconciliation payments when
updating the set of historical years used
to calculate target prices. We also
believe this logic could be extended to
include repayments to Medicare to
mirror the inclusion of reconciliation
payments. However, in the proposed
rule we did not propose an alternative
to include reconciliation payments and
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repayments when updating the set of
historical years used to calculate target
prices, and because the first time this
policy would take effect would be for
performance year 3 (2018), we may
revisit this policy in future rulemaking
and allow for public comment on the
aforementioned alternative. At this time
we are not modifying our proposal to
exclude CJR reconciliation payments
and repayments to Medicare when
updating the set of historical years used
to set target prices.
Comment: A few commenters
inquired whether claims from nonparticipating physicians or payments to
physicians who have opted out of
Medicare would be included for
purposes of setting target prices and
calculating actual episode spending for
reconciliation and repayment amount
calculations. Commenters contended
that if claims from non-participating
providers or payments to physicians
who have opted out of Medicare are not
included, target prices and actual
episode spending may be
underestimated.
Response: With the exception of those
physicians and practitioners who have
complied with our opt-out procedures
(see 42 CFR 405.400 through 405.455),
when a physician or supplier furnishes
a service that is covered by Medicare,
the physician or supplier is subject to
the mandatory claim submission
provisions of section 1848(g)(4) of the
Social Security Act (the Act). Therefore,
if a physician or supplier charges or
attempts to charge a beneficiary for a
service that is covered by Medicare,
then the physician or supplier must
submit a claim to Medicare. As a result,
claims from both participating and nonparticipating physicians would be
included in our target price and actual
episode spending calculations.
Opt-out physicians are prohibited
from billing and receiving payment
(either directly or indirectly) from
Medicare except for emergency and
urgent care services provided the
physician has not previously entered
into a private contract with the
beneficiary. Therefore, we agree that
payments for services furnished by
physicians who have opted out of
Medicare would not be included in
target price and actual episode
expenditure calculations. However, we
estimate only a small portion of
physicians furnishing services to
beneficiaries captured in the CJR model
will have opted out of Medicare, and we
estimate that physician services
comprise less than 15 percent of the
average CJR episode expenditure, and
therefore we believe the impact of not
capturing expenditures from physicians
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who have opted out of Medicare will be
small.
Additionally, there may be some
participant hospitals with a
disproportionately higher share of
episodes for which services were
furnished by physicians who have opted
out of Medicare. Such participant
hospitals would experience lower actual
episode expenditures because payments
for physicians who have opted out of
Medicare would not be included. These
hospitals’ lower actual episode
expenditures would be balanced by
lower target prices because the
payments for physicians who have
opted out of Medicare would also be
excluded in the historical episode
expenditures, though this argument is
primarily relevant in the early years of
the CJR model before we move to 100
percent regional pricing as discussed in
section III.C.4.b.(5) of this final rule. In
the later years of this model, participant
hospitals with disproportionately
greater share of episodes for which
services were furnished by Medicare
opt-out physicians may unfairly benefit
from regional target prices that are
primarily based on the inclusion of
expenditures for physician services.
However, we believe this advantage to
be small because physician
expenditures comprise only a small
portion of the average episode, and we
expect very few physicians to opt out of
Medicare.
Comment: A commenter inquired
whether CMS would include IPPS
capital payments in calculating target
prices and actual episode expenditures,
and if CMS’ plan was to include them,
they requested that such payments be
excluded. The commenter stated that
capital payments may vary by hospitals,
and excluding capital payments would
be consistent with the pricing
standardization approach we proposed
to reduce variations due to Medicare
payment policies. The commenter also
noted that excluding capital payments
would be consistent with the approach
taken in BPCI.
Response: In response to comments,
we clarify that we will include IPPS
capital payments in target price and
actual episode expenditure calculations.
IPPS capital payments are included in
Medicare FFS payments, which we
proposed to use to calculate target
prices and actual episode expenditures.
Consistent with our proposed treatment
of special payment provisions, we do
not intend to distort incentives based on
IPPS capital payments that may vary
across hospitals due to Medicare
payment policies, as opposed to practice
pattern and quality differences. By using
the claims standardization approach
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previously described in this section,
though, we will be able to remove the
effect of variations due to Medicare
payment policies (including wage index
differences). We recognize that this
approach of including IPPS capital
payments would be different than the
approach taken in BPCI. However, we
note that other Medicare FFS payment
systems, such as those for SNF and IRF,
also are intended to cover providers’
capital costs. Carving out the capital
portion for IPPS payments would not be
consistent with the inclusion of the
capital portion for other Medicare FFS
payment systems. Lastly, including IPPS
capital payments affords participant
hospitals an opportunity to achieve
greater reconciliation payments if they
are able to achieve efficiencies for the
costs that the capital portion of IPPS
payments would cover, which may or
may not actually be capital costs.
Comment: Several commenters
expressed concern about the regions
that were selected for both the CJR
model and the proposed HHVBP model.
Response: We refer readers to
comments and responses to comments
in section III.A.3 of this final rule for
further discussion on the inclusion of
regions selected for both the CJR model
and the proposed HHVBP model, and
we reference it here because the
proposed HHVBP model would be
another special payment provision that
could affect Medicare payment
amounts. We reemphasize that the
intent of the CJR model is not to replace
the various existing incentive programs
or add on payments, and the claims
standardization approach previously
described in this section will remove
the effect of any special payment
provision, whether they currently exist
or may be introduced in the future.
Therefore, we do not believe any special
payment provisions due to the proposed
HHVBP model or other potential future
special payment provisions to have an
impact on the payments included in the
CJR model target price and
reconciliation calculations.
Comment: A commenter requested
clarification on how the CJR model
would interact with Medicare
beneficiaries who have exhausted their
benefits, and recommended that we
modify Medicare beneficiaries’ benefits
so as to not allow their benefits to be
exhausted while part of a CJR episode.
Response: We appreciate the
commenter’s suggestion. However, we
did not propose any changes to
Medicare beneficiaries’ benefits, and we
will not finalize any such changes in
this final rule.
Final Decision: We are finalizing our
proposal, without modification, to
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73333
exclude special payment provisions
from episode calculations. We clarify
that we will include IPPS capital
payments in target price and actual
episode expenditure calculations. We
also clarify that we will utilize the CMS
Price Standardization approach
previously referenced to remove the
effect of any current and potential future
special payment provisions. We may
revisit in future rulemaking any
modification to our policy to exclude
reconciliation and recoupment
payments when updating the historical
data used to set target prices.
b. Treatment of Payment for Services
That Extend Beyond the Episode
As we proposed a fixed 90-day postdischarge episode as discussed in
section III.B. of the proposed rule, we
stated our belief that there would be
some instances where a service
included in the episode begins during
the episode but concludes after the end
of the episode and for which Medicare
makes a single payment under an
existing payment system. An example
would be a beneficiary in a CJR episode
who is admitted to a SNF for 15 days,
beginning on Day 86 post-discharge
from the anchor CJR hospitalization.
The first 5 days of the admission would
fall within the episode, while the
subsequent 10 days would fall outside
of the episode.
We proposed that, to the extent that
a Medicare payment for included
episode services spans a period of care
that extends beyond the episode, these
payments would be prorated so that
only the portion attributable to care
during the episode is attributed to the
episode payment when calculating
actual Medicare payment for the
episode. For non-IPPS inpatient hospital
(for example, CAH) and inpatient PAC
(for example, SNF, IRF, LTCH, IPF)
services, we proposed to prorate
payments based on the percentage of
actual length of stay (in days) that falls
within the episode window. Prorated
payments would also be similarly
allocated to the 30-day post-episode
payment calculation in section III.C.8.d.
of this final rule. In the prior example,
one-third of the days in the 15-day
length of stay would fall within the
episode window, so under the proposed
approach, one-third of the SNF payment
would be included in the episode
payment calculation, and the remaining
two-thirds (because the entirety of the
remaining payments fall within the 30
days after the episode ended) would be
included in the post-episode payment
calculation.
For HHA services that extend beyond
the episode, we proposed that the
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payment proration be based on the
percentage of days, starting with the
first billable service date (‘‘start of care
date’’) and through and including the
last billable service date, that fall within
the CJR episode. Prorated payments
would also be similarly allocated to the
30-day post-episode payment
calculation in section III.C.8.d. of the
proposed rule. For example, if the
patient started receiving services from
an HHA on day 86 after discharge from
the anchor CJR hospitalization and the
last billable home health service date
was 55 days from the start of home
health care date, the HHA claim
payment amount would be divided by
55 and then multiplied by the days (5)
that fell within the CJR episode. The
resulting, prorated HHA claim payment
amount would be considered part of the
CJR episode. Services for the prorated
HHA service would also span the
entirety of the 30 days after the CJR
episode spends, so the result of the
following calculation would be
included in the 30-day post-episode
payment calculation: HHA claim
payment amount divided by 55 and
then multiplied by 30 days (the number
of days in the 30-day post-episode
period that fall within the prorated HHA
service dates).
There may also be instances where
home health services begin prior to the
CJR episode start date, but end during
the CJR episode. In such instances, we
also proposed to prorate HHA payments
based on the percentage of days that fell
within the episode. Because these
services end during the CJR episode,
prorated payments for these services
would not be included in the 30-day
post-episode payment calculation
discussed in section III.C.8.d. of the
proposed rule. For example, if the
patient’s start of care date for a home
health 60-day claim was February 1, the
anchor hospitalization was March 1
through March 4 (with the CJR episode
continuing for 90 days after March 4),
and the patient resumed home care on
March 5 with the 60-day home health
claim ending on April 1 (that is, April
1 was the last billable service date), we
would divide the 60-day home health
claim payment amount by 60 and then
multiply that amount by the days from
the CJR admission through April 1 (32
days) to prorate the HHA payment. This
proposed prorating method for HHA
claims is consistent with how partial
episode payments (PEP) are paid for on
home health claims.
For IPPS services that extend beyond
the episode (for example, readmissions
included in the episode definition), we
proposed to separately prorate the IPPS
claim amount from episode target price
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and actual episode payment
calculations as proposed in section
III.C.8. of the proposed rule, called the
normal MS–DRG payment amount for
purposes of this final rule. The normal
MS–DRG payment amount would be
pro-rated based on the geometric mean
length of stay, comparable to the
calculation under the IPPS PAC transfer
policy at § 412.4(f) and as published on
an annual basis in Table 5 of the IPPS/
LTCH PPS Final Rules. Consistent with
the IPPS PAC transfer policy, the first
day for a subset of MS–DRGs (indicated
in Table 5 of the IPPS/LTCH PPS Final
Rules) would be doubly weighted to
count as 2 days to account for likely
higher hospital costs incurred at the
beginning of an admission. If the actual
length of stay that occurred during the
episode is equal to or greater than the
MS–DRG geometric mean, the normal
MS–DRG payment would be fully
allocated to the episode. If the actual
length of stay that occurred during the
episode is less than the geometric mean,
the normal MS–DRG payment amount
would be allocated to the episode based
on the number of inpatient days that fall
within the episode. If the full amount is
not allocated to the episode, any
remainder amount would be allocated to
the 30 day post-episode payment
calculation discussed in section
III.C.8.d. of the proposed rule. The
proposed approach for prorating the
normal MS–DRG payment amount is
consistent with the IPPS transfer per
diem methodology.
The following is an example of
prorating for IPPS services that extend
beyond the episode. If beneficiary has a
readmission for MS–DRG 493—lower
extremity and humerus procedures
except hip, foot, and femur, with
complications—into an IPPS hospital on
the 89th day after discharge from a CJR
anchor hospitalization, and is
subsequently discharged after a length
of stay of 5 days, Medicare payment for
this readmission would be prorated for
inclusion in the episode. Based on Table
5 of the IPPS/LTCH PPS Final Rule for
FY 2015, the geometric mean for MS–
DRG 493 is 4 days, and this MS–DRG is
indicated for double-weighting the first
day for proration. This readmission has
only 2 days that falls within the
episode, which is less than the MS–DRG
493 geometric mean of 4 days.
Therefore, the normal MS–DRG
payment amount associated with this
readmission would be divided by 4 (the
geometric mean) and multiplied by 3
(the first day is counted as 2 days, and
the second day contributes the third
day), and the resulting amount is
attributed to the episode. The remainder
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one-fourth would be captured in the
post-episode spending calculation
discussed in section III.C.8. of the
proposed rule. If the readmission
occurred on the 85th day after discharge
from the CJR anchor hospitalization,
and the length of stay was 7 days, the
normal MS–DRG payment amount for
the admission would be included in the
episode without proration because
length of stay for the readmission falling
within the episode (6 days) is greater
than or equal to the geometric mean (4
days) for the MS–DRG.
We considered an alternative option
of including the full Medicare payment
for all services that start during the
episode, even if those services did not
conclude until after the episode ended,
in calculating episode target prices and
actual payments. Previous research on
bundled payments for episodes of PAC
services noted that including the full
payment for any claim initiated during
the fixed episode period of time will
capture continued service use. However,
prorating only captures a portion of
actual service use (and payments)
within the bundle.20 As discussed in
section III.B. of this final rule, the CJR
model proposed an episode length that
extends 90 days post-discharge, and
Table 5 in section III.B.3.c. of the
proposed rule demonstrates that the
average length of stay in PAC during a
90-day episode with a MS–DRG 470
anchor hospitalization is 47.3 days.
Therefore, the length of the episode
under CJR (90 days) should be sufficient
to capture the vast majority of service
use within the episode, even if
payments for some services that extend
beyond the episode duration are
prorated and only partly attributed to
the episode.
The following is a summary of
comments received and our responses.
Comment: Several commenters
supported the pro-rating of payments for
services that extend beyond the episode.
They agreed that pro-rating would help
ensure target prices and actual episode
payments reflect services that were
furnished during the episode. A
commenter requested clarification on
how payments for IRFs would be prorated. Another commenter stated that
the first day for pro-rated surgical MS–
DRGs paid under IPPS should be
weighted by more than the two-times
weight proposed; the commenter
believed that a multiplier of up to 4.5
would more accurately describe
hospitals’ costs for the first day of
surgical inpatient admissions
reimbursed under Medicare IPPS.
20 https://aspe.hhs.gov/health/reports/09/
pacepifinal/report.pdf.
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§ 412.4(f) and published on an annual
basis in Table 5 of the IPPS/LTCH PPS
Final Rules. We also note that many
surgical readmissions are excluded from
the episode definition described in
section III.B. of this final rule, which
should mitigate the impact of this
prorating approach on surgical
readmissions that extend beyond the
episode.
Final Decision: After consideration of
the public comments we received, we
are finalizing the proposal to prorate
payments for services that extend
beyond the episode when calculating
actual episode payments, setting
episode target prices, and calculating
reconciliation and repayment amounts.
c. Pricing Adjustment for High Payment
Episodes
Given the broad proposed LEJR
episode definition and 90-day postdischarge episode duration proposed for
CJR, we want to ensure that hospitals
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have some protection from the variable
repayment risk for especially high
payment episodes, where the clinical
scenarios for these cases each year may
differ significantly and unpredictably.
We did not believe the opportunity for
a hospital’s systematic care redesign of
LEJR episodes has significant potential
to impact the clinical course of these
extremely disparate high payment cases.
The BPCI Model 2 uses a generally
similar episode definition as proposed
for CJR and the vast majority of BPCI
episodes being tested for LEJR are 90
days in duration following discharge
from the anchor hospitalization.
Similarly in the proposed rule, we
stated our belief that the distribution of
90-day LEJR episode payment amounts
utilizing the BPCI Model 2 episode
definition as displayed in Figure 2
provides information that is relevant to
policy development regarding CJR
episodes.
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Response: We appreciate commenters’
support for pro-rating payments for
services that extend beyond the episode.
As described in section III.C.3.b of this
final, IRF payments will be pro-rated
based on the percentage of actual length
of stay (in days) that falls within the
episode window. Prorated IRF payments
would also be similarly allocated to the
30 day post episode payment
calculation in section III.C.8.d. of this
final rule.
We agree that costs for inpatient stays
may not be equal for each day of an
inpatient admission, and the
distribution of costs may differ between
surgical and non-surgical inpatient
stays. We acknowledge there may be
different methodologies to calculate
how much more costs are incurred on
the first day of a stay. However, we will
maintain consistency with the IPPS per
diem transfer policy that uses a twotimes weight for the first day for a
subset of MS–DRGs as described in
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As displayed, the mean episode
payment amount is approximately
$26,000. Five percent of all episodes are
paid at two standard deviations above
the mean payment or greater, an amount
that is slightly more than 2 times the
mean episode payment amount. While
these high payment cases are relatively
uncommon, we stated in the proposed
rule our belief that incorporation of the
full Medicare payment amount for such
high payment episodes in setting the
target price and correspondingly in
Medicare’s aggregate actual episode
payment that is compared to the target
price for the episode may lead in some
cases to excessive hospital
responsibility for these episode
expenditures. This may be especially
true when hospital responsibility for
repayment of excess episode spending is
introduced in performance year 2. The
hospital may have limited ability to
moderate spending for these high
payment cases. Our proposal to exclude
IPPS new technology add-on payments
and separate payment for clotting
factors for the anchor hospitalization
from the episode definition limits
excessive financial responsibility under
this model of extremely high inpatient
payment cases that could result from
costly hospital care furnished during the
anchor hospitalization. However, in the
proposed rule we stated our belief that
an additional pricing adjustment in
setting episode target prices and
calculating actual episode payments is
necessary to mitigate the hospital
responsibility for the actual episode
payments for high episode payment
cases resulting from very high Medicare
spending within the episode during the
period after discharge from the anchor
hospitalization, including for PAC,
related hospital readmissions, and other
items and services related to the LEJR
episode.
Thus, in order to limit the hospital’s
responsibility for the previously stated
high episode payment cases, we
proposed to utilize a pricing adjustment
for high payment episodes that would
incorporate a high payment ceiling at
two standard deviations above the mean
episode payment amount in calculating
the target price and in comparing actual
episode payments during the
performance year to the target prices.
Specifically, when setting target
prices, we would first identify for each
anchor MS–DRG in each region
(discussed further in section III.C.4. of
this final rule) the episode payment
amount that is two standard deviations
above the mean payment in the
historical dataset used (discussed
further in section III.C.4. of the
proposed rule). Any such identified
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episode would have its payment capped
at the MS–DRG anchor and regionspecific value that is two standard
deviations above the mean, which
would be the ceiling for purposes for
calculating target prices. We note that
the calculation of the historical episode
high payment ceiling for each region
and MS–DRG anchor would be
performed after other steps, including
removal of effects of special payment
provisions and others described in
section III.C.4.c. of this final rule.
When comparing actual episode
payments during the performance year
to the target prices, episode payments
for episodes in the performance year
would also be capped at two standard
deviations above the mean. The high
episode payment ceiling for episodes in
a given performance year would be
calculated based on MS–DRG anchorspecific episodes in each region. We
discuss further how the high episode
payment ceiling would be applied when
comparing episode payments during the
performance year to target prices in
section III.C.6. of this final rule.
While this approach generally lowers
the target price slightly, it provides a
basis for reducing the hospital’s
responsibility for actual episode
spending for high episode payment
cases during the model performance
years. When performing the
reconciliation for a given performance
year of the model, we would array the
actual episode payment amounts for all
episodes being tested within a single
region, and identify the regional actual
episode payment ceiling at two standard
deviations above the regional mean
actual episode payment amount. If the
actual payment for a hospital’s episode
exceeds this regional ceiling, we would
set the actual episode payment amount
to equal the regional ceiling amount,
rather than the actual amount paid by
Medicare, when comparing a hospital’s
episode spending to the target price.
Thus, a hospital would not be
responsible for any actual episode
payment that is greater than the regional
ceiling amount for that performance
year. We proposed to adopt this policy
for all years of the model, regardless of
the reconciliation payment opportunity
or repayment responsibility in a given
performance year, to achieve stability
and consistency in the pricing
methodology. We stated in the proposed
rule our belief that this proposal
provides reasonable protection for
hospitals from undue financial
responsibility for Medicare episode
spending related to the variable and
unpredictable course of care of some
Medicare beneficiaries in CJR episodes,
while still fully incentivizing increased
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efficiencies for approximately the 95
percent of episodes for which we
estimate actual episode payments to fall
below this ceiling.21 We sought
comment on our proposal to apply a
pricing adjustment in setting target
prices and reconciling actual episode
payments for high payment episodes.
The following is a summary of the
comments received and our responses.
Comment: Many commenters
supported the proposal for a high
episode payment ceiling at two standard
deviations above the mean episode
payment amount in calculating the
target price and in comparing actual
episode payments during the
performance year to the target prices.
They agreed that such a ceiling would
help limit financial exposure to
participant hospitals from outlier
episodes. Some commenters requested
the option of choosing specific risk
tracks as provided under BPCI (for
example, high episode payment ceiling
at 75th, 95th, or 99th percentile).
Response: We appreciate commenters’
support for a high episode payment
ceiling. We acknowledge that BPCI
offers different risk tracks with different
outlier protection features from which
participants can choose, and that we did
not propose to provide CJR participant
hospitals with choice of risk tracks or
outlier protection policy. However, with
the blending of regional and hospitalspecific historical episode expenditure
data that we are finalizing in section
III.C.4.b.(5) of this final rule to calculate
target prices, applying different risk
tracks or outlier protection policies to
different hospitals would distort target
price calculations; this is not an issue in
BPCI because target prices are
calculated using only hospital-specific
historical episode expenditure data.
Additionally, we continue to believe
that setting a high episode payment
ceiling at two standard deviations above
the mean episode payment amount,
along with the phasing in of
responsibility for hospital repayment in
performance year 1 as discussed in
section III.C.2 of this final rule, will be
sufficient to limit financial exposure
due to outlier episodes. We will finalize
our proposal to use a common outlier
policy for all participant hospitals.
Comment: Many commenters
requested that CMS risk adjust episode
spending based on patients’ hip fracture
status, among other clinical and
demographic dimensions.
Response: We refer readers to
comments and responses to comments
21 Medicare FFS Parts A and B claims, CJR
episodes as proposed, between October 1, 2013 and
September 30, 2014.
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in section III.C.4.b.(1) of this final rule
for further discussion on risk
stratification for hip fracture status, and
we reference it here because changes to
risk stratification would impact how a
high payment episode ceiling would
function. As discussed in the responses
to comments in section III.C.4.b.(1) of
this final rule, we will modify our
policy in this final rule so as to set
different target prices both for episodes
anchored by MS–DRG 469 vs. MS–DRG
470 and for episodes with hip fractures
vs. without hip fractures. Given this
change, we will also modify the
proposed approach to apply the high
payment episode ceiling. Specifically,
instead of calculating and applying high
payment episode ceilings for each
region and anchor MS–DRG
combination, we will now calculate and
apply high payment episode ceilings for
each region, anchor MS–DRG, and hip
fracture status combination.
Final Decision: After consideration of
the public comments we received, we
are finalizing the proposal to apply high
episode payment ceilings when
calculating actual episode payments,
setting episode target prices, and
calculating reconciliation and
repayment amounts. However, we do
note that the approach to calculate and
apply the high episode payment ceilings
will be adapted to account for the risk
stratification based on hip fracture
status discussed in section III.C.4.b. of
this final rule.
4. Episode Price Setting Methodology
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a. Overview
Whether a participant hospital
receives reconciliation payments or is
made responsible to repay Medicare for
the CJR model will depend on the
hospital’s quality and actual payment
performance relative to episode quality
and target prices. Quality performance
and its tie to payments is further
discussed in section III.C.5. of this final
rule, and the remainder of this section
will discuss the proposed approach to
establishing target prices.
We proposed to establish CJR target
prices for each participant hospital. For
episodes beginning in performance
years 1, 3, 4, and 5, a participant
hospital would have eight target prices,
one for each of the following:
• MS–DRG 469 anchored episodes
that were initiated between January 1
and September 30 of the performance
year, if the participant hospital
successfully submits data on the
voluntary patient-reported outcome
measure proposed in section III.C.5. of
the proposed rule.
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• MS–DRG 470 anchored episodes
that were initiated between January 1
and September 30 of the performance
year, if the participant hospital
successfully submits data on the
proposed voluntary patient-reported
outcome measure.
• MS–DRG 469 anchored episodes
that were initiated between October 1
and December 31 of the performance
year, if the participant hospital
successfully submits data on the
proposed voluntary patient-reported
outcome measure.
• MS–DRG 470 anchored episodes
that were initiated between October 1
and December 31 of the performance
year, if the participant hospital
successfully submits data on the
proposed voluntary patient-reported
outcome measure.
• MS–DRG 469 anchored episodes
that were initiated between January 1
and September 30 of the performance
year, if the participant hospital does not
successfully submit data on the
voluntary patient-reported outcome
measure.
• MS–DRG 470 anchored episodes
that were initiated between January 1
and September 30 of the performance
year, if the participant hospital does not
successfully submit data on the
proposed voluntary patient-reported
outcome measure.
• MS–DRG 469 anchored episodes
that were initiated between October 1
and December 31 of the performance
year, if the participant hospital does not
successfully submit data on the
proposed voluntary patient-reported
outcome measure.
• MS–DRG 470 anchored episodes
that were initiated between October 1
and December 31 of the performance
year, if the participant hospital does not
successfully submit data on the
proposed voluntary patient-reported
outcome measure.
For episodes beginning in
performance year 2, a participant
hospital would have 16 target prices.
These would include the same
combinations as for the other 4
performance years, but one set for
determining potential reconciliation
payments, and the other for determining
potential Medicare repayment amounts,
as part of the phasing in of two-sided
risk discussed later in this section.
Further discussion on our proposals for
different target prices for MS–DRG 469
versus MS–DRG 470 anchored episodes,
for episodes initiated between January 1
and September 30 versus October 1 and
December 31, and for participant
hospitals that do and do not
successfully submit data on the
proposed patient-reported outcome
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73337
measure can be found in sections
III.C.4.b. and III.C.5. of the proposed
rule.
We intend to calculate and
communicate episode target prices to
participant hospitals prior to the
performance period in which they apply
(that is, prior to January 1, 2017, for
target prices covering episodes initiated
between January 1 and September 30,
2017; prior to October 1, 2017 for target
prices covering episodes initiated
between October 1 and December 31,
2017). We stated in the proposed rule
our belief that prospectively
communicating prices to hospitals will
help them make any infrastructure, care
coordination and delivery, and financial
refinements they may deem appropriate
to prepare for the new episode target
prices.
The proposed approach to setting
target prices incorporated the following
features:
• Set different target prices for
episodes anchored by MS–DRG 469
versus MS–DRG 470 to account for
patient and clinical variations that
impact hospitals’ cost of providing care.
• Use 3 years of historical Medicare
payment data grouped into episodes of
care according to the episode definition
in section III.B. of the proposed rule,
hereinafter termed historical CJR
episodes. The specific set of 3historical-years used would be updated
every other performance year.
• Apply Medicare payment system
(for example, IPPS, OPPS, IRF PPS,
SNF, MPFS, etc.) updates to the
historical episode data to ensure we
incentivize hospitals based on historical
utilization and practice patterns, not
Medicare payment system rate changes
that are beyond hospitals’ control.
Because different Medicare payment
system updates become effective at two
different times of the year, we would
calculate separate target prices for
episodes initiated between January 1
and September 30 versus October 1 and
December 31.
• Blend together hospital-specific and
regional historical CJR episode
payments, transitioning from primarily
provider-specific to completely regional
pricing over the course of the 5
performance years, to incentivize both
historically efficient and less efficient
hospitals to furnish high quality,
efficient care in all years of the model.
Regions would be defined as each of the
nine U.S. Census divisions.
• Normalize for provider-specific
wage adjustment variations in Medicare
payment systems when combining
provider-specific and regional historical
CJR episodes. Wage adjustments would
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be reapplied when determining
hospital-specific target prices.
• Pool together CJR episodes
anchored by MS DRGs 469 and 470 to
use a greater historical CJR episode
volume and set more stable prices.
• Apply a discount factor to serve as
Medicare’s portion of reduced
expenditures from the CJR episode, with
any remaining portion of reduced
Medicare spending below the target
price potentially available as
reconciliation payments to the
participant hospital where the anchor
hospitalization occurred.
Further discussion on each of the
individual features can be found in
section III.C.4.b. of this final rule. In
section III.C.4.c. of this final rule, we
also provide further details on the
proposed sequential steps to calculate
target prices and how each of the
pricing features would fit together.
The following is a summary of the
comments received and our responses.
Comment: Commenters responded on
several of the proposed pricing features,
including how quality performance
would affect payment, and we refer
readers to comments and responses to
comments in sections III.C.4.b and
III.C.5 for further discussion on changes
to how quality would be tied to
payment as described in the proposed
rule. We reference these comments here
because any changes to the proposed
episode price setting methodology and
link between quality performance and
payment would impact the number of
target prices for each participant
hospital.
Response: As further discussed in
section III.C.4.b.(1) of this final rule, we
are modifying the proposed rule to risk
stratify (and set different prices) based
on not just different anchor MS–DRGs
but also patients’ hip fracture status. As
discussed in section III.C.4.b.(9) of this
final rule, we are modifying our policy
in this final rule so as to use lower
discount factors for purposes of
determining the hospital’s responsibility
for excess episode spending not only in
performance year 2, but also in
performance year 3. Additionally, as
discussed in section III.C.5 of this final
rule, we are modifying the proposed
rule so as to provide different levels of
quality incentive payments that would
modulate participant hospitals’ effective
target price discount factor based on
their quality performance. Because of
these changes, each participant hospital
in performance years 1, 4, and 5 will
have 8 potential target prices for each
combination of anchor MS–DRG (469
vs. 470), hip fracture status (with hip
fracture vs. no hip fracture), and episode
initiation date (between April 1 and
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September 30 vs. between October 1 and
December 31 for performance year 1,
and between January 1 and September
30 vs. between October 1 and December
31 for performance years 2 through 5).
Each participant hospital in
performance years 2 and 3 will have 16
target prices for the same combinations
in performance years 1, 4, and 5, but
with one group of 8 potential target
prices for purposes of calculating
reconciliation payments and another
group of 8 potential target prices for
purposes of determining hospital’s
responsibility for excess episode
spending.
b. Pricing Features
(1) Different Target Prices for Episodes
Anchored by MS–DRG 469 Versus MS–
DRG 470
For each participant hospital we
proposed to establish different target
prices for CJR episodes initiated by MS–
DRG 469 versus MS–DRG 470. MS–
DRGs under the IPPS account for some
of the clinical and resource variations
that exist and that impact hospitals’ cost
of providing care. Specifically, MS–DRG
469 is defined to identify, and provide
hospitals a higher Medicare payment to
reflect the higher hospital costs for, hip
and knee procedures with major
complications or comorbidities.
Therefore, we proposed to risk stratify
and calculate separate target prices for
each participant hospital for CJR
episodes with MS–DRG 469 versus MS–
DRG 470 anchor hospitalizations.
We considered risk adjusting the
episode target prices by making
adjustments or setting different prices
based on patient-specific clinical
indicators (for example, comorbidities).
However, we did not believe there is a
sufficiently reliable approach that exists
suitable for CJR episodes beyond MS–
DRG-specific pricing, and there is no
current standard on the best approach.
At the time of developing the proposed
rule Tennessee, Ohio, and Arkansas are
launching multi-payer (including
Medicaid and commercial payers,
excluding Medicare) bundles and
include hip and knee replacement as an
episode.22 23 24 These states’ hip and
22 Tennessee Health Care Innovation Initiative.
https://www.tn.gov/HCFA/strategic.shtml. Accessed
on April 16, 2015.
23 Ohio Governor’’s Office of Health
Transformation. Transforming Payment for a
Healthier Ohio, June 8, 2014. https://
www.healthtransformation.ohio.gov/
LinkClick.aspx?fileticket=TDZUpL4aSI%3d&tabid=138, Accessed on April 16, 2014.
24 Total Joint Replacement Algorithm Summary,
Arkansas Health Care Payment Improvement
Initiative, November 2012. https://
www.paymentinitiative.org/referenceMaterials/
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knee episode definitions and payment
models are consistent with, though not
the same as, the proposed CJR episode
described in the proposed rule.
However, each of these three states uses
different risk adjustment factors. This
variation across states supported our
stated belief in the proposed rule that
there is currently no standard risk
adjustment approach widely accepted
throughout the nation that could be
used under CJR, a model that would
apply to hospitals across multiple states.
Therefore, we did not propose to make
risk adjustments based on patientspecific clinical indicators.
We also considered making risk
adjustments based on the participant
hospital’s average Hierarchical
Condition Category (HCC) score for
patients with anchor CJR
hospitalizations. The CMS–HCC risk
adjustment model quantifies a
beneficiary’s risk by examining the
beneficiary’s demographics and
historical claims data and predicting the
beneficiary’s total expenditures for
Medicare Parts A and B in an upcoming
year. However, the CMS–HCC risk
adjustment model’s intended use is to
pay Medicare Advantage (MA) plans
appropriately for their expected relative
costs. For example, MA plans that
disproportionately enroll the healthy are
paid less than they would have been if
they had enrolled beneficiaries with the
average risk profile, while MA plans
that care for the sickest patients are paid
proportionately more than if they had
enrolled beneficiaries with the average
risk profile. The CMS–HCC risk
adjustment model is prospective. It uses
demographic information (that is, age,
sex, Medicare/Medicaid dual eligibility,
disability status) and a profile of major
medical conditions in the base year to
predict Medicare expenditures in the
next year.25 As previously noted, the
CMS–HCC risk adjustment model is
used to predict total Medicare
expenditures in an upcoming year, and
may not be appropriate for use in
predicting expenditures over a shorter
period of time, such as the CJR episode,
and may not be appropriate in instances
where its use is focused on LEJRs.
Therefore, since we have not evaluated
the validity of HCC scores for predicting
Medicare expenditures for shorter
episodes of care or for specifically LEJR
beneficiaries, we did not propose to risk
Documents/TJR%20codes.pdf. Accessed on
April 17, 2015.
25 Pope, C. et al., Evaluation of the CMS–HCC
Risk Adjustment Model Final Report. Report to the
Centers for Medicare & Medicaid Services under
Contract Number HHSM–500–2005–00029I. RTI
International. Research Triangle Park, NC. March,
2011.
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adjust the target prices using HCC scores
for the CJR model.
We also considered risk stratifying or
setting different prices for different
procedures, such as different prices for
hip versus knee replacements, but we
did not believe there would be
substantial variation in episode
payments for these clinical scenarios to
warrant different prices or adjustments.
Moreover, Medicare IPPS payments,
which account for approximately 50
percent 26 of CJR episode expenditures,
do not differentiate between hip and
knee procedures, mitigating procedurespecific variation for the anchor
hospitalization. Furthermore, there are
no widely accepted clinical guidelines
to suggest that PAC intensity would
vary significantly between knee and hip
replacements. We sought comment on
our proposal to price episodes based on
the MS–DRG for the anchor
hospitalization, without further risk
adjustment.
The following is a summary of the
comments received and our responses.
Comment: Many commenters stated
that proper risk adjustment is necessary
for the success of this model, and that
anchor MS–DRG-specific pricing can
help but is not sufficient on its own.
Proper risk adjustment would account
for differences in episode spend due to
patient variations that are out of
providers’ control. They stated that MS–
DRGs may capture variations within the
inpatient setting, but do not reflect
patient variations post-discharge.
Inappropriate risk adjustment could
lead to access issues for higher risk
patients and increased volume of LEJR
procedures for younger/healthier
patients by participant hospitals looking
to lower their average episode
expenditures.
Most commenters who wrote on the
issue suggested risk adjustment or
complete exclusion for episodes with
hip fractures, partial hip replacements,
and emergent (versus non-emergent or
elective) procedures. Some commenters
provided analysis on hip fractures, in
particular, and demonstrated episodes
with hip fractures are significantly more
expensive than those without hip
fractures. Other clinical and
demographic dimensions offered for risk
adjustment or exclusion include the
following: Procedure (total hip [THA]
vs. total knee [TKA] vs. partial hip
[PHA] vs. ankle vs. limb reattachment);
socioeconomic status; patient functional
status; age; and comorbidities. Requests
from commenters for risk adjustment
based on the previously stated
dimensions were usually paired with
requests to also exclude patients from
the CJR model, and we encourage
readers to read comments in section
III.B.2.a. of this final rule for additional
details on the clinical and demographic
dimensions requested for risk
adjustment or exclusion.
Some commenters who wrote on the
issue of risk adjustment disputed CMS’
statement in the proposed rule that
there is no standard risk adjustment
approach widely accepted throughout
the nation. They pointed to examples of
existing risk adjustment approaches that
could be used for CJR episodes, such as
Optum’s Procedure Episode Grouper
(PEG), Truven’s Medical Episode
Grouper (MEG), Health Care Incentives
Improvement Institute’s (HCI3) risk
adjustment model, CMS’s HCCs model,
and CMS’s risk-adjusted quality/
efficiency metric for elective LEJR
episodes: Hospital-Level, RiskStandardized Payment Associated with
a 90-Day Episode of Care for Elective
Primary Total Hip Arthroplasty (THA)
and/or Total Knee Arthroplasty (TKA).
Response: In response to comments,
we undertook further analysis. Our
analysis showed that episodes with hip
fractures, identified by historical anchor
hospitalization claims with an ICD–9–
CM hip fracture code as the principal
diagnosis, have approximately 70
percent greater historical average
episode expenditures than episodes
without hip fractures, even for episodes
within the same anchor MS–DRG,
confirming analyses shared by some
commenters that also showed episodes
with hip fractures to have significantly
greater average expenditures.27 PHA
episodes and emergent episodes had
similarly higher historical average
expenditures than TKA and THA
episodes and non-emergent episodes,
respectively. There are clearly patientspecific conditions that lead to
significant episode expenditure
variations, even within the same MS–
DRG.
On the basis of the comments and our
further analysis, we agree with
commenters that proper risk adjustment
is necessary to appropriately incentivize
participant hospitals to deliver high
quality and efficient care. We
acknowledge that a comprehensive risk
adjustment methodology beyond just
setting different prices by anchor MS–
DRGs could more accurately risk adjust
episodes for patient-specific clinical and
26 Medicare FFS Parts A and B claims, CJR
episodes, as proposed in this rule, between October
2013 and September 2014.
27 Medicare FFS Parts A and B claims, CJR
episodes, as proposed in the proposed rule,
between October 2013 and September 2014.
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73339
demographic factors that would drive
variations in CJR episode expenditures.
We disagree with commenters,
though, that there is an already existing,
widely accepted risk adjustment
methodology for CJR episodes. The HCC
model, as discussed earlier in this
section, is not designed to predict costs
within CJR episodes and may not
accurately predict CJR episode
expenditures. Commercial claims
groupers such as Optum’s PEG,
Truven’s MEG, and HCI3’s risk
adjustment model utilize different
episode definitions from how we will
define CJR episodes. Additionally, these
commercial groupers have yet to be
validated for a Medicare population; we
believe there may be a different set of
risk factors that predict episode
expenditures for Medicare beneficiaries
than those used to predict episode
expenditures for younger and generally
healthier individuals with commercial
insurance. We also acknowledge that
CMS has designed a risk-adjusted
quality/efficiency metric for elective
LEJR episodes: Hospital-Level, RiskStandardized Payment Associated with
a 90-Day Episode of Care for Elective
Primary Total Hip Arthroplasty (THA)
and/or Total Knee Arthroplasty (TKA).
This metric, though, has been developed
for a different episode definition; most
notably, this risk-adjusted metric
excludes emergent episodes while the
CJR episode definition does not exclude
emergent episodes, as discussed in
section III.B. of this final rule.
We do believe that there are
opportunities to learn from existing
comprehensive risk adjustment models,
and we may explore how a
comprehensive risk adjustment model
such as these may be adapted for the
CJR model in the future.
In the meantime, though, we also
believe we can improve upon the
proposed approach of only setting
different target prices by anchor MS–
DRG. Specifically, we can account for
the impact of hip fracture status (with
hip fracture vs. without hip fracture),
procedure choice (PHA vs. TKA or
THA), and emergence status (emergent
vs. non-emergent) on episode
expenditures. According to our analysis,
though, there was significant correlation
between incidence of hip fractures,
partial hip procedures, and emergent
procedures—94 percent of partial hip
replacement episodes and 93 percent of
emergent episodes are for patients with
hip fractures. Because of the correlation
between these three factors, we believe
we can account for all three by risk
stratifying based on hip fracture status
alone. We believe hip fracture status is
a more appropriate dimension on which
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to risk stratify because it reflects
patients’ clinical status, as opposed to
partial hip replacements and emergent
procedures which are influenced by
providers’ care delivery decisions.
In light of the comments and our
additional analysis, we will modify our
proposed policy to risk stratify, or set
different target prices, both for episodes
anchored by MS–DRG 469 vs. MS–DRG
470 and for episodes with hip fractures
vs. without hip fractures. By adding hip
fracture status to our risk stratification
approach, we believe we can capture a
significant amount of patient-driven
episode expenditure variation.
Additionally, because of the high
correlation between incidence of hip
fractures, partial hip procedures, and
emergent procedures, we do not believe
we need to add any procedure-specific
and emergent status factors for risk
stratification. We still believe, as stated
in the proposed rule that PAC intensity
would not vary significantly between
TKA and THA for beneficiaries without
hip fractures.
We will identify episodes with hip
fractures using ICD–9–CM or ICD–10–
CM diagnosis codes, where the hip
fracture diagnosis is the principal
diagnosis on the anchor hospitalization
claim for an LEJR procedure. Our goal
is to identify those CJR episodes where
the primary surgical treatment for the
hip fracture is an LEJR procedure
furnished during the anchor
hospitalization. The historical episodes
with hip fracture diagnosis codes on the
anchor hospitalization claim will be
used to set the hip fracture episode
target prices under the CJR model, and
episodes during the CJR model with hip
fracture diagnosis codes on the anchor
hospitalization claim will be reconciled
at the hip fracture episode target prices.
In order to develop the initial list of
ICD–9–CM hip fracture diagnosis codes
used to identify those historical
episodes with hip fracture for
calculating hip fracture episode target
prices, to implement changes to the list
to account for the transition to the ICD–
10–CM diagnosis code set that will be
used to identify episodes during the
model performance years that will
receive fracture episode target prices,
and to make other changes as necessary
based on annual ICD–10–CM coding
changes or to address issues raised by
the public throughout the model
performance years, we are
implementing the following
subregulatory process, which mirrors
the subregulatory process we will use
for the episode definition exclusions list
described in section III.B.2 of this final
rule. We will use this process on an
annual, or more frequent, basis to
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update the ICD–CM hip fracture
diagnosis code list and to address issues
raised by the public.
As part of this process, we will first
develop the potential ICD–CM hip
fracture diagnosis codes based on our
assessment according to the following
standards:
• The ICD–CM diagnosis code is
sufficiently specific that it represents a
bone fracture for which a physician
could determine that a hip replacement
procedure, either a PHA or a THA,
could be the primary surgical treatment.
• The ICD–CM diagnosis code is the
primary reason (that is, principal
diagnosis code) for the anchor
hospitalization.
We will then post a list of potential
hip fracture diagnosis codes (whether
ICD–9–CM diagnosis codes, as
necessary to develop initial target
prices, or ICD–10–CM diagnosis codes
to be utilized during the model
performance years) to the CMS Web site
at https://innovation.cms.gov/initiatives/
cjr/ to allow for public input on our
planned application of these standards,
and then we will adopt the ICD–CM hip
fracture diagnosis code list with posting
to the CMS Web site of the final ICD–
CM hip fracture diagnosis code list after
our consideration of the public input.
With public release of this final rule,
we are initiating this subregulatory
process to develop a final ICD–9–CM
hip fracture diagnosis code list that will
be used to identify historical anchor
hospitalizations for beneficiaries with
hip fracture for purposes of determining
episode spending in the historical
period and developing initial target
prices for the model. The potential ICD–
9–CM hip fracture diagnosis code list is
posted on the CJR Web site at https://
innovation.cms.gov/initiatives/cjr/.
Given our objective to quickly develop
target prices and provide them to
participant hospitals in the timeframe
described in section III.C.4. of this final
rule, we will allow for public input on
this list for 14 days after the public
release of this final rule. Public
comments will be submitted via an
email address posted on the CJR Web
site along with the list of potential ICD–
9–CM hip fracture diagnosis codes
previously referenced. We will consider
the public’s input and then, after
consideration, we will post the final
ICD–9–CM hip fracture diagnosis code
list to the CMS Web site. This list will
be used to calculate the first set of target
prices communicated to participant
hospitals. Within 30 days of public
release of the final rule, we will again
initiate this subregulatory process to
identify ICD–10–CM hip fracture
diagnosis codes by posting the potential
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ICD–10–CM hip fracture diagnosis code
list on the CMS Web site and seeking
public input, so we can provide in a
timely manner the final list of ICD–10–
CM hip fracture diagnosis codes prior
the beginning of the first model
performance year.
Final Decision: After consideration of
the public comments we received, we
are modifying the proposed rule to risk
stratify (and set different target prices)
based on not just different anchor MS–
DRGs but also patients’ hip fracture
status. We will identify episodes with
hip fractures using ICD–9–CM or ICD–
10–CM diagnosis codes in the principal
position on the claim for the anchor
hospitalization. We are instituting a
subregulatory process in order to allow
for public comment and to finalize the
ICD–9–CM and ICD–10–CM diagnosis
codes to be used in identifying hip
fracture cases in the CJR model, which
we are initiating as of the public release
of this final rule. We refer readers to the
list of ICD–9–CM diagnosis codes
posted on the CJR model Web site at
https://innovation.cms.gov/initiatives/
cjr/.
This policy is codified at § 510.300(a).
(2) Three Years of Historical Data
We proposed to use 3 years of
historical CJR episodes for calculating
CJR target prices. The set of 3-historicalyears used would be updated every
other year. Specifically—
• Performance years 1 and 2 would
use historical CJR episodes that started
between January 1, 2012 and December
31, 2014;
• Performance years 3 and 4 would
use historical episodes that started
between January 1, 2014 and December
31, 2016; and
• Performance year 5 would use
episodes that started between January 1,
2016 and December 31, 2018.
We considered using fewer than 3
years of historical CJR episode data, but
we are concerned with having sufficient
historical episode volume to reliably
calculate target prices. We also
considered not updating the historical
episode data for the duration of the
model. However, we stated in the
proposed rule our belief that hospitals’
target prices should be regularly
updated on a predictable basis to use
the most recent available claims data,
consistent with the regular updates to
Medicare’s payment systems, to account
for actual changes in utilization. We are
not proposing to update the data
annually, given the uncertainty in
pricing this could introduce for
participant hospitals. We also note that
the effects of updating hospital-specific
data on the target price could be limited
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as the regional contribution to the target
price grows, moving to two-thirds in
performance year 3 when the first
historical episode data update would
occur.
The following is a summary of the
comments received and our responses.
Comment: Commenters generally
supported using historical expenditures
to set target prices. Several commenters
expressed concern that updating the 3
years of historical CJR episode data
every other year would effectively make
participant hospitals compete against
themselves without consideration of
whether they are already efficient. Some
of these commenters cited that BPCI
does not update its historical data for
the entirety of the BPCI model, and
some other commenters noted that
Medicare Shared Savings Program resets
its historical benchmark every three
years with each new participation
agreement. There were also a few
commenters that supported updating
the 3 years of historical CJR episode
data every 2 years because it was better
than doing so every year.
Some commenters also stated that if
we do update the historical data, we
should include previous reconciliation
payments and repayments to Medicare
for the participant hospitals. We refer
readers to comments and responses to
comments in section III.C.3 of this final
rule for further discussion on this
comment.
Some commenters proposed
alternative approaches to getting to
target prices other than using and
updating historical data. Some
commenters suggested using a
negotiations/bidding process approach
to get to target prices; Medicare would
negotiate with or request bids from
providers for providing services covered
under the CJR episode definition. Some
other commenters suggested applying
some sort of inflation factor, such as a
CMS market basket update, for future
years of the model instead of updating
the 3 years of historical CJR episode
data. These alternatives to using and
updating the historical CJR episode data
would help prevent a participant
hospital from competing against its
historical self, even if it is already
efficient, in order to qualify for
reconciliation payments.
Response: We appreciate commenters’
support for using historical
expenditures to set target prices. We
acknowledge that BPCI does not update
participants’ historical data and
Medicare Shared Savings Program does
not reset participating entities’
benchmark for 3 years (until the
beginning of a new agreement period).
However, these programs employ
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alternative mechanisms to account for
recent national trends reflecting changes
in industry wide practice patterns.
BPCI, for example, retrospectively
applies a national trend factor to trend
forward historical episode expenditure
data and capture changes in nationwide
practice patterns between the time
period used in the historical data and
the performance period. BPCI
participants are not penalized or
rewarded for mirroring nationwide
practice pattern trends. In BPCI,
however, participants’ target prices are
determined retrospectively after the
close of each performance period. We
intend to calculate and communicate
target prices prior to the start of each
performance year, as discussed in
section III.C.4.a of this final rule, so we
cannot utilize the retrospective national
trend factor approach as used in BPCI.
Instead, we proposed to capture
changes in nationwide practice patterns
by updating every other year the
historical CJR episode data used to set
target prices. We recognize that this
approach of updating the historical
episode data every other year effectively
assumes a zero percent change in
utilization between the latest year of
historical episode data and the
performance year. We believe this can
be a valid estimate for a few years (for
example, 2014 as the latest year of
historical episode data for 2017 target
prices; update historical episode data
for 2018 target prices), but it is less
likely to hold true for longer periods of
time (for example, 2014 as the latest
year of historical episode data for 2020
target prices; no update to historical
episode data). Therefore, we believe
updating the historical episode data is
necessary. While updating the historical
episode data more frequently (that is,
every year, instead of every other year)
would lessen our reliance on an
assumption of zero percent utilization
change, doing so may exacerbate
commenters’ concerns that already
efficient hospitals would have to
compete against themselves, as
discussed further later in this section.
We appreciate commenters’ concerns
that it may be unsustainable for already
efficient participant hospitals to
continuously improve, and that
participant hospitals may undertake
activities that promote care coordination
and improved quality of care but are not
directly reimbursed under applicable
Medicare FFS payment systems. If we
were using 100 percent hospital-specific
pricing, updating the historical data
used to set target prices without
including reconciliation payments
would create a lower and harder to
achieve target price for participant
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hospitals that previously increased
efficiency. As discussed in section
III.C.3 of this final rule, we may revisit
in future rulemaking our decision to
exclude reconciliation payments and
repayment amounts when updating the
set of historical years used to set target
prices. Additionally, as we transition to
regional pricing over the course of the
model, participant hospitals will no
longer compete against their historical
selves but rather strive to outperform
their regional peers. Under regional
pricing, an already efficient hospital
may be able to achieve actual episode
expenditures below the regional target
price without having to become even
more efficient. By performance year 3,
when the first update to historical
episode data would occur, the majority
of the target price would be based on the
regional component, not the hospitalspecific component, as described in
section III.C.4.b.(5) of this final rule.
We appreciate commenters’
suggestions on using alternative
approaches to setting target prices. We
may consider such approaches for
future model tests.
Final Decision: After consideration of
the public comments we received, we
are finalizing the proposal, without
modification, to use three years of
historical expenditures, updated every
other year, to set target prices.
(3) Trending of Historical Data to the
Most Recent Year of the Three
We acknowledge that some payment
variation may exist in the 3 years of
historical CJR episodes due to updates
to Medicare payment systems (for
example, IPPS, OPPS, IRF PPS, SNF
PPS, etc.) and national changes in
utilization patterns. Episodes in the
third of the 3-historical-years may have
higher average payments than those
from the earlier 2 years because of
Medicare payment rate increases over
the course of the 3-historical-years. We
do not intend to have CJR incentives be
affected by Medicare payment system
rate changes that are beyond hospitals’
control. In addition to the changes in
Medicare payment systems, average
episode payments may change year over
year due to national trends reflecting
changes in industry-wide practice
patterns. For example, readmissions for
all patients, including those in CJR
episodes, may decrease nationally due
to improved industry-wide surgical
protocols that reduce the chance of
infections. We do not intend to provide
reconciliation payments to (or require
repayments from) hospitals for
achieving lower (or higher) Medicare
expenditures solely because they
followed national changes in practice
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patterns. Instead, we aim to incentivize
hospitals based on their hospitalspecific inpatient and PAC delivery
practices for LEJR episodes.
To mitigate the effects of Medicare
payment system updates and changes in
national utilization practice patterns
within the 3 years of historical CJR
episodes, we proposed to apply a
national trend factor to each of the years
of historical episode payments.
Specifically, we proposed to inflate the
2 oldest years of historical episode
payments to the most recent year of the
3-historical-years described in section
III.C.4.b.(2) of the proposed rule. We
proposed to trend forward each of the 2
oldest years using the changes in the
national average CJR episode payments.
We also proposed to apply separate
national trend factors for episodes
anchored by MS–DRG 469 versus MS–
DRG 470 to capture any MS–DRGspecific payment system updates or
national utilization pattern changes. For
example, when using CY 2012–2014
historical episode data to establish
target prices for performance years 1
and 2, under our proposal we would
calculate a national average MS–DRG
470 anchored episode payment for each
of the 3-historical-years. The ratio of the
national average MS–DRG 470 anchored
episode payment for CY 2014 to that of
CY 2012 would be used to trend 2012
MS–DRG 470 anchored episode
payments to CY 2014. Similarly, the
ratio of the national average MS–DRG
470 anchored episode payment for CY
2014 to that of CY 2013 would be used
to trend 2013 episode payments to CY
2014. The previously stated process
would be repeated for MS–DRG 469
anchored episodes. Trending CY 2012
and CY 2013 data to CY 2014 would
capture updates in Medicare payment
systems as well as national utilization
pattern changes that may have occurred.
We considered adjusting for regional
trends in utilization, as opposed to
national trends. However, we stated in
the proposed rule our belief that any
Medicare payment system updates and
significant changes in utilization
practice patterns would not be regionspecific but rather be reflected
nationally.
We sought comment on our proposal
to nationally trend historical data to the
most recent year of the 3 being used to
set the target prices.
The following is a summary of the
comments received and our responses.
Comment: Some commenters
supported the use of national trends for
trending historical data to the most
recent of the 3 being used to set the
target prices. Some commenters
suggested blending regional, instead of
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national, trends to be consistent with
how target prices will be blended, as
discussed in section III.C.4.b.(5) of this
final rule. Some commenters inquired
how trending historical data would
capture changes in Medicare FFS fee
schedules.
Response: We appreciate commenters’
support for the use of national trends for
trending historical data. This trending of
historical data to the most recent of the
3 being used to set target prices would
capture both Medicare FFS fee schedule
and practice pattern changes. Medicare
FFS fee schedule changes would be
captured in the trend factor
calculations; for example, if Medicare
FFS fee schedules change so as to
increase overall payments by 4 percent
between the oldest and most recent year
of historical episode data, the national
trend factor applied to the oldest year of
historical episode data would be 1.04
(assuming no change in utilization
patterns). Medicare FFS fee schedule
changes apply across the nation, and we
believe that major changes to practice
patterns would be nationwide and not
constrained to any one region.
Comment: Many commenters
requested for risk adjustment based on
patients’ hip fracture status, among
other clinical and demographic
dimensions.
Response: We refer readers to
comments and responses to comments
in section III.C.4.b.(1) of this final rule
for further discussion on risk
stratification, and we reference it here
because changes to risk stratification
would impact how we would trend
historical data to the most recent year of
the three being used. As discussed in
the responses to comments in section
III.C.4.b.(1) of this final rule, we will
modify our proposal so as to set
different target prices both for episodes
anchored by MS–DRG 469 vs. MS–DRG
470 and for episodes with hip fractures
vs. without hip fractures. Given this
change, we must also modify the
proposed approach to apply national
trend factor. Specifically, instead of
calculating different national trend
factors just for anchor MS–DRGs 469 vs.
470, we will calculate different national
trend factors for each combination of
anchor MS–DRG (469 vs. 470) and hip
fracture status (with hip fracture vs.
without hip fracture) using the
methodology we proposed.
Final Decision: After consideration of
the public comments we received, we
are finalizing the proposal to trend
historical data to the most recent of the
3 being used to set target prices, though
instead of calculating different national
trend factors just for anchor MS–DRGs
469 vs. 470, we will calculate different
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national trend factors for each
combination of anchor MS–DRG (469
vs. 470) and hip fracture status (with
hip fracture vs. without hip fracture).
(4) Update Historical Episode Payments
for Ongoing Payment System Updates
We proposed to prospectively update
historical CJR episode payments to
account for ongoing Medicare payment
system (for example, IPPS, OPPS, IRF
PPS, SNF, MPFS, etc.) updates to the
historical episode data and ensure we
incentivize hospitals based on historical
utilization and practice patterns, not
Medicare payment system rate changes
that are beyond hospitals’ control.
Medicare payment systems do not
update their rates at the same time
during the year. For example, IPPS, the
IRF PPS, and the SNF payment system
apply annual updates to their rates
effective October 1, while the hospital
OPPS) and MPFS apply annual updates
effective January 1. To ensure we
appropriately account for the different
Medicare payment system updates that
go into effect on January 1 and October
1, we proposed to update historical
episode payments for Medicare payment
system updates and calculate target
prices separately for episodes initiated
between January 1 and September 30
versus October 1 and December 31 of
each performance year. The target price
in effect as of the day the episode is
initiated would be the target price for
the whole episode. Note that in
performance year 5, the second set of
target prices would be for episodes that
start and end between and including
October 1 and December 31 because the
fifth performance period of the CJR
model would end on December 31,
2020. Additionally, a target price for a
given performance year may apply to
episodes included in another
performance year. For example, an
episode initiated in November 2016,
and ending in February 2017 would
have a target price based on the second
set of 2016 target prices (for episodes
initiated between October 1 and
December 31, 2016), and it would be
captured in the CY 2017 performance
year (performance year 2) because it
ended between January 1 and December
31, 2017. We refer readers to section
III.C.3.c. of the proposed rule for further
discussion on the definition of
performance years.
We proposed to update historical CJR
episode payments by applying separate
Medicare payment system update
factors each January 1 and October 1 to
each of the following six components of
each hospital’s historical CJR payments:
• Inpatient acute.
• Physician.
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• IRF.
• SNF.
• HHA.
• Other services.
A different set of update factors
would be calculated for January 1
through September 30 versus October 1
through December 31 episodes each
performance year. The six update
factors for each of the previously stated
components would be hospital-specific
and would be weighted by the percent
of the Medicare payment for which each
of the six components accounts in the
hospital’s historical episodes. The
weighted update factors would be
applied to historical hospital-specific
average payments to incorporate
ongoing Medicare payment system
updates. A weighted update factor
would be calculated by multiplying the
component-specific update factor by the
percent of the hospital’s historical
episode payments the component
represents, and summing together the
results. For example, let us assume 50
percent of a hospital’s historical episode
payments were for inpatient acute care
services, 15 percent for physician
services, 35 percent for SNF services,
and 0.0 percent for the remaining
services. Let us also assume for this
example that the update factors for
inpatient acute care services, physician
services, and SNF services are 1.02,
1.03, and 1.01, respectively. The
weighted update factor in this example
would be the following: (0.5 * 1.02) +
(0.15*1.03) + (0.35*1.01) = 1.018. The
hospital in this example would have its
historical average episode payments
multiplied by 1.018 to incorporate
ongoing payment system updates. The
specific order of steps, and how this
step fits in with others, is discussed
further in section III.C.4.c. of this final
rule.
Each of a hospital’s six update factors
would be based on how inputs have
changed in the various Medicare
payment systems for the specific
hospital. Additional details on these
update factors will be discussed later in
this section.
Region-specific update factors for
each of the previously stated
components and weighted update
factors would also be calculated in the
same manner as the hospital-specific
update factors. Instead of using
historical episodes attributed to a
specific hospital, region-specific update
factors would be based on all historical
episodes initiated at any CJR eligible
hospital within the region. For purposes
of this rule, CJR eligible hospitals are
defined as hospitals that are paid under
IPPS and not a participant in BPCI
Model 1 or in the risk-bearing period of
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Models 2 or 4 for LEJR episodes,
regardless of whether or not the MSAs
in which the hospitals are located were
selected for inclusion in the CJR model.
CJR episodes initiated at a CJR eligible
hospital will for purposes of this rule be
referred to as CJR episodes attributed to
that CJR eligible hospital.
We considered an alternative option
of trending the historical episode
payments forward to the upcoming
performance year using ratios of
national average episode payment
amounts, similar to how we proposed to
trend the 2 oldest historical years
forward to the latest historical year for
historical CJR episode payments in
section III.C.4.b.(3) of the proposed rule.
Using ratios of national average episode
payment amounts would have the
advantage of also capturing changes in
national utilization patterns in addition
to payment system updates between the
historical years and the performance
year. However, such an approach would
need to be done retrospectively, after
average episode payments can be
calculated for the performance year,
because it would rely on the payments
actually incurred in the performance
period, data that would be not be
available before the performance period.
While the proposed approach of using
component-specific weighted update
factors may be more complicated than
the previously stated alternative to use
ratios of national average episode
payment amounts, we stated in the
proposed rule our belief that the
additional complication is outweighed
by the value to hospitals of knowing
target prices before the start of an
episode for which the target price would
apply. We sought comment on this
proposed approach of updating
historical episode payments for ongoing
Medicare payment system changes.
We did not propose to separately and
prospectively apply an adjustment to
account for changes in national
utilization patterns between the
historical and performance years. If a
prospective adjustment factor for
national utilization pattern changes
were applied, it may only be meaningful
in performance years 2 and 4, when the
historical data used to calculate target
prices would not be updated, but
another year of historical data would be
available. In any of the other 3
performance years, the latest available
historical year of data would already be
incorporated into the target prices.
Given that we proposed to refresh the
historical data used to calculate target
prices every 2 years, we did not believe
an additional adjustment factor to
account for national practice pattern
changes is necessary to appropriately
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73343
incentivize participant hospitals to
improve quality of care and reduce
episode payments.
The following is a summary of the
comments received and our responses.
Comment: Several commenters noted
that the Medicare payment system
update factors were complicated to
calculate. Some commenters supported
the use of calculating Medicare payment
system update factors at the hospitalspecific and regional levels to reflect
practice pattern variations, while some
others proposed using national update
factors to incentivize reduction in
medically unnecessary and/or
inappropriate practice pattern
variations.
A couple of commenters also inquired
whether the Medicare payment system
update factors accounted for changes
Medicare FFS payment system changes.
A commenter requested we freeze MS–
DRG weights for MS–DRGs 469 and 470
if the weights decrease in any given year
as part of the annual Medicare FFS IPPS
payment system updates.
Response: We acknowledge that the
Medicare payment system update factor
calculations are complex, but we believe
the complexity is necessary to account
for Medicare FFS payment system
changes. We will use these payment
system update factors to ensure that we
incentivize hospitals based on
utilization and practice patterns, not
Medicare payment system rate changes.
While changes to Medicare FFS rates for
individual services would be applicable
nationwide, the relative composition of
each service in historical episodes will
likely vary by hospital and region.
Calculating payment system update
factors at the hospital-specific and
regional levels will more accurately
capture the effects of payment system
changes.
We also note that we are finalizing a
modification to the equations used to
calculate update factors for those
payment systems that apply annual
updates to their rates effective October
1 of each year. In lieu of calculating the
update factors for inpatient acute, SNF,
and IRF services using the values
applicable at the end of latest historical
year used to calculate target prices, we
will use a blend of the values applicable
during the latest historical year. Such a
change will account for the payment
systems that update payment rates on a
fiscal year cycle, ensure we are
calculating update factors based on the
payment rates that apply to a given
period to the extent feasible, and result
in more accurate target price
calculations. We reflect this change in
the sections III.C.4.b.(4)(a),
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III.C.4.b.(4)(c), and III.C.4.b.(4)(d) of this
final rule
We believe freezing MS–DRG weights
would run counter to our objective to
accurately account for the effects of
Medicare FFS payment system changes.
If we freeze MS–DRG weights and the
weights decrease, we may
inappropriately overestimate target
prices.
Comment: Some commenters
requested to have a single set of target
prices for the entire calendar year, as
opposed to two different sets of target
prices that would account for intra-year
Medicare FFS payment systems
updates: one set for January 1 through
September 30, and a second set for
October 1 through December 31. These
commenters stated that a single target
price for the entire year may be easier
to communicate to participant hospitals,
and that the effect of mid-calendar year
changes in Medicare FFS (for example,
October 1 IPPS changes) could be
estimated and reconciled against a
single set of target prices for the entire
calendar year.
Response: We appreciate commenters’
desire for simplicity. However, we
would not know the extent of October
1 Medicare FFS payment system
updates prior to January of the same
year. Additionally, the October update
includes payment system updates for
IPPS, which accounts for the plurality of
historical CJR episode expenditures.
Without knowing the magnitude of
Medicare FFS payment system updates,
we do not believe we could reliably
calculate target prices. Any estimate
would likely require corrections after
the end of the performance year,
rendering the initial target price
unreliable and unrepresentative of the
target price used for reconciliation.
Comment: Several commenters
recommended that we modify the
definition of ‘CJR eligible hospitals,’ the
term used to identify hospitals included
in calculations for the regional
component of target prices (discussed
further in section III.C.4.b.(5) of this
final rule), to not exclude hospitals that
are participants in BPCI Model 1 or in
the risk bearing period of Models 2 or
4 for LEJR episodes. They recommended
that some regions may have a greater
proportion of these BPCI participants,
and excluding them from the
calculations for the regional component
of target prices would not accurately
reflect the region’s historical
expenditures. Additionally, with fewer
hospitals included, the region
component of target prices would be
more significantly impacted by the
performance of just CJR participant
hospitals.
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Response: We agree with commenters’
arguments to include hospitals that are
participants in BPCI Model 1 or in the
risk bearing period of Models 2 or 4 for
LEJR episodes when calculating the
regional component of CJR target prices.
Including these BPCI hospitals would
more accurately reflect the region’s
historical expenditures, independent of
the level of BPCI participation in the
region. Therefore, we are not finalizing
our proposal to exclude these hospitals
from the regional calculation. We will
modify the definition of ‘‘CJR eligible
hospitals’’ to include these BPCI
hospitals so that their data is included
in the regional component of target
prices. We will treat these BPCI
participants as though they were any
other non-BPCI-participating hospital—
we would not apply the BPCI discount
factor to claims payments nor include
BPCI reconciliation or repayments for
these BPCI hospitals. We do not intend
to reduce target prices for participant
hospitals just because they are located
in a region with greater BPCI
participation; instead, we want to
ensure that we are calculating a
representative regional component for
target prices. In order to reduce
potential confusion, we will also
rename ‘‘CJR eligible hospitals’’ to be
‘‘CJR regional hospitals’’.
We also clarify that BPCI LEJR
episodes will be included in the
historical data used to calculate the
hospital-specific component of target
prices. There may be some CJR
participant hospitals who were
previously participants in BPCI Model
2; there may be some BPCI Model 2
episodes in the historical data initiated
by PGPs for which the LEJR procedure
took place at the CJR participant
hospital; or there may be some BPCI
Model 3 episodes in the historical data
for which the LEJR procedure took place
at the CJR participant hospital.
Including the BPCI LEJR episodes from
the historical data used to calculate the
hospital-specific component of target
prices would parallel the previously
discussed approach to include BPCI
LEJR episodes in the regional
component of target prices. Again, as
previously discussed for the regional
component of target prices, we would
not apply the BPCI discount factor to
claim payments nor include BPCI
reconciliation or repayments for the
hospital-specific component of target
prices.
Final Decision: After consideration of
the public comments we received, we
are modifying our proposal to update
historical episode payments for ongoing
payment system updates so as to
include in the definition of ‘‘CJR eligible
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hospitals’’ that are participants in BPCI
Model 1 or in the risk bearing period of
Models 2 or 4 for LEJR episodes, and
rename ‘‘CJR eligible hospitals’’ to be
‘‘CJR regional hospitals.’’ We are also
finalizing a modification to how we
calculate update factors to more
accurately capture payment system rate
changes throughout the calendar year
for inpatient acute, IRF, and SNF
services. The modification is reflected
in III.C.4.b.(4)(a), III.C.4.b.(4)(c), and
III.C.4.b.(4)(d) of this final rule.
(a) Inpatient Acute Services Update
Factor
The proposed inpatient acute services
update factor would apply to payments
for services included in the episode
paid under the IPPS. This would
include payments for the CJR anchor
hospitalization and related readmissions
at hospitals paid under IPPS, but not
payments for related readmissions at
CAHs during the episode window.
Payments for related readmissions at
CAHs would be captured under the
update factor for other services in
section III.C.4.b.(4)(f) of the proposed
rule.
The update factor applied to the
inpatient acute services component of
each participant hospital and region’s
historical average episode payments
would be based on how inputs for the
Medicare IPPS have changed between
the latest year used in the historical 3
years of episodes and the upcoming
performance period under CJR. We
proposed to use changes in the
following IPPS inputs to calculate the
inpatient acute services update factor:
IPPS base rate and average of MS–DRG
weights, as defined in the IPPS/LTCH
Final Rules for the relevant years. The
average MS–DRG weight would be
specific to each participant hospital and
region to account for hospital and
region-specific inpatient acute service
utilization patterns. Hospital-specific
and region-specific average MS–DRG
weights would be calculated by
averaging the MS–DRG weight for all
the IPPS MS–DRGs included in the
historical episodes attributed to each
participant hospital and attributed to
CJR eligible hospitals in the region,
respectively; including MS–DRGs for
anchor admissions as well as those for
subsequent readmissions that fall within
the episode definition. Expressed as a
ratio, the inpatient acute services
adjustment factor would equal the
following:
• The numerator is based on values
applicable for the upcoming
performance period (PP) for which a
target price is being calculated.
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73345
proposed methodology for calculating
update factors, as previously discussed
in section III.C.4.(b)(4) of this final rule.
Therefore, the inpatient acute services
update factor formula is shown as—
(b) Physician Services Update Factor
The proposed physician services
update factor would apply to payments
for services included in the episode
paid under the MPFS for physician
services. We proposed to use changes in
the following MPFS inputs to calculate
the physician services update factor of
each participant hospital and region’s
historical average episode payments:
RVUs; work, practice expense, and
malpractice (MP) liability geographic
practice cost indices (GPCIs); and
national conversion factor, as defined in
the MPFS Final Rule for the relevant
years. Hospital-specific and regionspecific RVU-weighted GPCIs would be
calculated to account for hospital and
region-specific physician service
utilization patterns. Hospital-specific
and region-specific RVU-weighted
GPCIs would be calculated by taking the
proportion of RVUs for work, practice
expense, and MP liability for physician
services included in the historical
episodes and attributed to each
participant hospital and attributed to
CJR eligible hospitals in the region,
respectively, and multiplying each
proportion by the relevant GPCI.
Expressed as a ratio, the physician
services update factor would equal the
following:
• The numerator is based on GPCI
values applicable for the upcoming
performance period (PP) for which a
target price is being calculated.
• The denominator is based on GPCI
values applicable at the end of the latest
of the 3 historical years used in the
target price (TP) calculations.
Therefore, the proposed physician
services update factor formula is shown
as—
(c) IRF Services Update Factor
the same for all IRFs and IRF services,
so there is no need to account for any
hospital-specific or region-specific IRF
utilization patterns; each participant
hospital and region would use the same
IRF services update factor.
Expressed as a ratio, the IRF PPS
update factor would equal the
following:
• The numerator is based on values
applicable for the upcoming
performance period (PP) for which a
target price is being calculated.
• The denominator is based on a
blend of values applicable in the latest
of the 3 historical years used in the
target price (TP) calculations, weighted
to account for the values applicable
prior to October 1, and values
applicable starting October 1 when IRF
PPS updates for the new fiscal year are
in effect. Note that this weighting
incorporates a modification to our
proposed methodology for calculating
update factors, as previously discussed
in section III.C.4.(b)(4) of this final rule.
Therefore, the IRF services update
factor formula is shown as—
(defined in the SNF PPS Final Rule)
have changed between the latest year
used in the historical 3 years of episodes
and the upcoming performance period
under CJR. The average RUG–IV CaseMix Adjusted Federal Rates would be
specific to each participant hospital and
region to account for hospital and
region-specific SNF service utilization
patterns. Hospital-specific and regionspecific average RUG–IV Case-Mix
Adjusted Federal Rates would be
calculated by averaging the RUG–IV
Case-Mix Adjusted Federal Rates for all
SNF services included in the historical
episodes attributed to each participant
hospital and attributed to CJR eligible
hospitals in the region, respectively. We
note that the RUG–IV Case-Mix
Adjusted Federal Rate may vary for the
same RUG, depending on whether the
SNF was categorized as urban or rural.
Expressed as a ratio, the SNF services
update factor would equal the
following:
• The numerator is based on values
applicable for the upcoming
The proposed IRF services update
factor applies to payments for services
included in the episode paid under the
Medicare inpatient rehabilitation
facility prospective payment system
(IRF PPS). We proposed to use changes
in the IRF Standard Payment
Conversion Factor, an input for the IRF
PPS and defined in the IRF PPS Final
Rule for the relevant years, to update
Medicare payments for IRF services
provided in the episode. The IRF
Standard Payment Conversion Factor is
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(d) SNF Services Update Factor
The proposed SNF services update
factor would apply to payments for
services included in the episode and
paid under the SNF PPS, including
payments for SNF swing bed services.
The update factor applied to the SNF
services component of each participant
hospital and region’s historical average
episode payments would be based on
how average Resource Utilization Group
(RUG–IV) Case-Mix Adjusted Federal
Rates for the Medicare SNF PPS
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ER24NO15.004 ER24NO15.005
prior to October 1, and values
applicable starting October 1 when IPPS
updates for the new fiscal year are in
effect. Note that this weighting
incorporates a modification to our
ER24NO15.003
• The denominator is based on a
blend of values applicable in the latest
of the 3 historical years used in the
target price (TP) calculations, weighted
to account for the values applicable
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between the latest year used in the
historical 3 years of episodes and the
upcoming performance period under
CJR. We proposed to use changes in the
HH PPS base rate and average of home
health resource group (HHRG) case-mix
weight, inputs for the HHA PPS and
defined in the HHA PPS Final Rule for
the relevant years, to calculate the home
health services update factor. The
average HHRG case-mix weights would
be specific to each participant hospital
and region to account for hospital and
region-specific home health service
utilization patterns. Hospital-specific
and region-specific HHA services
update factors would be calculated by
averaging the HHRG case-mix weights
for all home health payments (excluding
LUPA claims) included in the historical
episodes attributed to each participant
hospital and attributed to CJR eligible
hospitals in the region, respectively.
Expressed as a ratio, the HHA
adjustment factor would equal the
following:
• The numerator is based on values
applicable for the upcoming
performance period (PP) for which a
target price is being calculated.
• The denominator is based on values
applicable at the end of the latest of the
3 historical years used in the target price
(TP) calculations.
Therefore, the proposed HHA services
update factor formula is shown as—
(f) Other Services Update Factor
(5) Blend Hospital-Specific and
Regional Historical Data
We proposed to calculate CJR episode
target prices using a blend of hospitalspecific and regional historical average
CJR episode payments, including CJR
episode payments for all CJR eligible
hospitals in the same U.S. Census
division as discussed further in section
III.C.4.b.(6) of the proposed rule.
Specifically, we proposed to blend twothirds of the hospital-specific episode
payments and one-third of the regional
episode payment to set a participant
hospital’s target price for the first 2performance years of the CJR model (CY
2016 and CY 2017). For performance
year 3 of the model (CY 2018), we
proposed to adjust the proportion of the
hospital-specific and regional episode
payments used to calculate the episode
target price from two-thirds hospitalspecific and one-third regional to onethird hospital-specific and two-thirds
regional. Finally, we proposed to use
only regional historical CJR episode
payments for performance years 4 and 5
of the model (CY 2019 and CY 2020) to
set a participant hospital’s target price,
rather than a blend between the
hospital-specific and regional episode
payments. The specific order of steps,
and how this step fits in with others, is
discussed further in section III.C.4.c. of
the proposed rule. We welcome
comment on the appropriate blend
between hospital-specific and regional
episode payments and the change in
that blend over time.
We considered establishing episode
target prices using only historical CJR
hospital-specific episode payments for
all 5 performance years of the model
(that is, episode payments for episodes
attributed to the participant hospital, as
previously described in section III.C.2.
of the proposed rule). Using hospitalspecific historical episodes may be
appropriate in other models such as
BPCI Model 2 where participation is
voluntary and setting a region-wide
target price could lead to a pattern of
selective participation in which
inefficient providers decline to
participate, undermining the model’s
ability to improve the efficiency and
quality of care delivered by those
providers, while already-efficient
providers receive windfall gains even if
they do not further improve efficiency.
Because CJR model participants will be
required to participate in the model,
The other services update factor
would apply to payments for services
included in the episode and not paid
under the IPPS, MPFS, IRF PPS, or HHA
PPS (except for LUPA claims). This
component would include episode
payments for home health LUPA claims
and CJR related readmissions at CAHs.
For purposes of calculating the other
services update factor, we proposed to
use the Medicare Economic Index (MEI),
a measure developed by CMS for
measuring the inflation for goods and
services used in the provision of
physician services.28 We would
calculate the other services update
factor as the percent change in the MEI
between the latest year used in the TP
calculation and its projected value for
the upcoming performance period.
Because MEI is not hospital or regionspecific, each participant hospital and
region would use the same other
services update factor.
28 Medicare Market Basket Data. https://
www.cms.gov/Research-Statistics-Data-andSystems/Statistics-Trends-and-Reports/
MedicareProgramRatesStats/
MarketBasketData.html.
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ER24NO15.007
proposed methodology for calculating
update factors, as previously discussed
in section III.C.4.(b)(4) of this final rule.
Therefore, the SNF services update
factor formula is shown as—
ER24NO15.006
to account for values applicable prior to
October 1, and values applicable
starting October 1 when SNF PPS
updates for the new fiscal year are in
effect. Note that this weighting
incorporates a modification to our
(e) HHA Services Update Factor
The proposed HHA services update
factor would apply to payments for
services included in the episode and
paid under the HH PPS, but exclude
payments for Low Utilization Payment
Adjustment (LUPA) claims (claims with
four or fewer home health visits)
because they are paid differently and
would instead be captured in the update
factor for other services in section
III.C.4.b.(f) of the proposed rule. The
update factor applied to the home
health services component of each
participant hospital and region’s
historical average episode payments
would be based on how inputs for the
Medicare HH PPS have changed
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performance period (PP) for which a
target price is being calculated.
• The denominator is based on a
blend of values applicable in the latest
of the 3 historical years used in the
target price (TP) calculations, weighted
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solely using hospital-specific historical
episode data is not necessary to avoid
this potential concern. Furthermore,
using only hospital-specific historical
CJR episode payments may provide
little incentive for hospitals that already
cost-efficiently deliver high quality care
to maintain or further improve such
care. These hospitals could receive a
relatively low target price because of
their historical performance but have
fewer opportunities for achieving
additional efficiency under CJR. They
would not receive reconciliation
payments for maintaining high quality
and efficiency, while other hospitals
that were less efficient would receive
reconciliation payments for improving,
even if the less historically efficient
hospitals did not reach the same level
of high quality and efficiency as the
more historically efficient hospitals.
Using only hospital-specific historical
CJR episode payments may also not be
sufficient to curb inefficient care or
overprovision of services for hospitals
with historically high CJR episode
payments. In such instances, using
hospital-specific historical episode
payments for the CJR model could result
in Medicare continuing to pay an
excessive amount for episodes of care
provided by inefficient hospitals, and
inefficient hospitals would stand to
benefit from making only small
improvements. Thus, we did not
propose to set target prices based solely
on hospital-specific data for any
performance years of the model.
We considered establishing the
episode target price using only
historical CJR regional episode
payments for all 5 performance years of
the model. Though regional target
pricing would reward the most efficient
hospitals for continuing to provide high
quality and cost efficient care, we are
concerned about providing achievable
incentives under the model for hospitals
with high historical CJR average episode
payments. We stated in the proposed
rule our belief that a lower regional
price for such hospitals would leave
them with little financial incentive in
performance year 1, especially without
any responsibility to repay payments in
excess of the target price as described in
section III.C.3. of the proposed rule.
Thus, we did not propose to set target
prices solely on regional data for the
entire duration of the model.
Therefore, we proposed initially to
blend historical hospital-specific and
regional-historical episode payments
and then transition to using regionalonly historical episode payments in
establishing target prices to afford early
and continuing incentives for both
historically efficient and less efficient
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hospitals to furnish high quality,
efficient care in all years of the model.
Our proposal more heavily weights a
hospital’s historical episode data in the
first 2 years of the model (two-thirds
hospital-specific, one-third regional),
providing a reasonable incentive for
both currently efficient and less efficient
hospitals to deliver high quality and
efficient care in the early stages of
model implementation. Beginning in
performance year 3, once hospitals have
engaged in care redesign and adapted to
the model parameters, we proposed to
shift to a more heavily weighted
regional contribution (one-third
hospital-specific, two-thirds regional in
performance year 3) and ultimately to a
regional target price for performance
years 4 and 5. We stated in the proposed
rule our belief that by performance year
4, setting target prices based solely on
regional historical data would be
feasible because hospitals would have
had 3 years under this model to more
efficiently deliver high quality care,
thereby reducing some of the variation
across hospitals. We stated in the
proposed rule our belief that
transitioning to regional only pricing in
the latter years of the model would
provide important information about the
reduction in unnecessary variation in
LEJR episode utilization patterns within
a region that can be achieved.
We stated in the proposed rule our
belief that transitioning to regional-only
pricing in the latter years of the model
may provide valuable information
regarding potential pricing strategies for
successful episode payment models that
we may consider for expansion in the
future. As discussed previously,
substantial regional and hospitalspecific variation in Medicare LEJR
episode spending currently exists for
beneficiaries with similar demographic
and health status, so we are proposing
that the early CJR model years will more
heavily weight historical hospitalspecific experience in pricing episode
for a participant hospital. Once the
hospital has substantial experience with
care redesign, we expect that
unnecessary hospital-specific variation
in episode spending will be minimized
so that regional-only pricing would be
appropriate as we have proposed. We
noted that, like episode payment under
the CJR model, Medicare’s current
payment systems make payments for
bundles of items and services, although
of various breadths and sizes depending
on the specific payment system. For
example, the IPPS pays a single
payment, based on national prices with
geography-specific labor cost
adjustments, for all hospital services
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73347
furnished during an inpatient
hospitalization, such as nursing
services, medications, medical
equipment, operating room suites, etc.
Under the IPPS, the national pricing
approach incentivizes efficiencies and
has, therefore, led to a substantial
reduction in unnecessary hospitalspecific variation in resource utilization
for an inpatient hospitalization. On the
other hand, the episode payment
approach being tested under BPCI
Model 2 relies solely on providerspecific pricing over the lifetime of the
model, assuming the number of episode
cases is sufficient to establish a reliable
episode price, an approach that has
potential limitations were expansion to
be considered. Thus, we stated in the
proposed rule our belief that our
proposal for CJR will provide new,
important information regarding pricing
for even larger and broader bundles of
services once unnecessary providerspecific variation has been minimized
that would supplement our experience
with patterns and pricing under existing
payment systems and other episode
payment models. We expect that testing
of CJR will contribute further
information about efficient Medicare
pricing strategies that result in
appropriate payment for providers’
resources required to furnish high
quality, efficient care to beneficiaries
who receive LEJR procedures. This is
essential information for any
consideration of episode payment
model expansion, including nationally,
in the future, where operationally
feasible and appropriate pricing
strategies, including provider-specific,
regional, and national pricing
approaches would need to be
considered.
We proposed an exception to the
blended hospital-specific and regional
pricing approach for hospitals with low
historical CJR episode volume. We
proposed to define hospitals with low
CJR episode volume as those with fewer
than 20 CJR episodes in total across the
3-historical-years used to calculate
target prices. We stated in the proposed
rule our belief that calculating the
hospital-specific component of the
blended target price for these
historically low CJR episode volume
hospitals may be subject to a high
degree of statistical variation. Therefore,
for each performance year, we proposed
to use 100 percent regional target
pricing for participant hospitals who
have fewer than twenty historical CJR
episodes in the 3-historical-years used
to calculate target prices, as described in
section III.C.4.b.(2) of the proposed rule.
We note that the 3-historical-years used
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to calculate target prices would change
over the course of the model, as
described in section III.C.4.b.(2) of the
proposed rule, and when that happens,
the twenty episode threshold would be
applied to the new set of historical
years. If all IPPS hospitals nationally
participated (for estimation purposes,
only) in CJR, we estimate about 5
percent of hospitals would be affected
by this proposed low historical CJR
episode volume provision.29 A
minimum threshold of twenty episodes
is almost equal to the minimum number
of admissions required in the Medicare
HRRP. HRRP payment adjustment
factors are, in part, determined by
procedure/condition-specific
readmission rates for a hospital. HRRP
requires at least 25 procedure/
condition-specific admissions to
calculate the procedure/conditionspecific readmission rate and to be
included in the hospital’s overall HRRP
payment adjustment factor. Though the
proposed minimum threshold of twenty
episodes is slightly less than the 25
admissions required for HRRP, we
stated in the proposed rule our belief
that because we would not be
calculating infrequent events such as
readmissions, we can achieve a stable
price with slightly fewer episodes.
We also proposed an exception to the
blended hospital-specific and regional
pricing approach for participant
hospitals that received new CCNs
during the 24 months prior to the
beginning of, or during, the performance
year for which target prices are being
calculated. These participant hospitals
with new CCNs may have formed due
to a merger between or split from
previously existing hospitals, or may be
new hospitals altogether. As a general
principle, we aim to incorporate into the
target prices all the historical episodes
that would represent our best estimate
of CJR historical payments for these
participant hospitals with new CCNs.
For participant hospitals with new
CCNs that formed from a merger
between or split from previously
existing hospitals, we proposed to
calculate hospital-specific historical
payments using the episodes attributed
to the previously existing hospitals.
These hospital-specific historical
payments would then be blended with
the regional historical payments
according to the approach previously
described in this section. For participant
hospitals with new CCNs that are new
hospitals altogether, we proposed to use
the approach previously described in
29 Medicare FFS Parts A and B claims, CJR
episodes, as proposed in this rule, between October
2013 and September 2014.
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this section for hospitals with fewer
than 20 CJR episodes across the 3historical-years used to calculate target
prices. In other cases, due to an
organizational change a hospital may
experience a change to an already
existing CCN during the 24 months
prior to the beginning of, or during, the
performance year for which target prices
are being calculated. For example, one
hospital with a CCN may merge with a
second hospital assigned a different
CCN, and both hospitals would then be
identified under the single CCN of the
second hospital. While there may be
more than 20 CJR episodes under the
second hospital’s CCN in total across
the 3-historical-years used to calculate
target prices, in this scenario our use of
only those cases under the second
hospital’s CCN in calculating hospitalspecific historical payments would fail
to meet our general principle of
incorporating into target prices all the
historical episodes that would represent
our best estimate of CJR historical
payments for these now merged
hospitals. In this scenario, we proposed
to calculate hospital-specific payments
for the remaining single CCN (originally
assigned to the second hospital only)
using the historical episodes attributed
to both previously existing hospitals.
These hospital-specific historical
payments would then be blended with
the regional historical payments
according to the approach previously
described in this section in order to
determine the episode price for the
merged hospitals bearing a single CCN.
We sought comment on this proposed
approach for blending hospital-specific
and regional historical payments.
The following is a summary of the
comments received and our responses.
Comment: Many commenters
supported the proposal to blend
hospital-specific and regional historical
episode data to calculate target prices.
They explained that this balanced the
incentivizes for already efficient
hospitals to continue great performance,
and allowed hospitals with historically
high episode expenditures sufficient
time to create care pathways and
implement practice pattern changes
before getting to 100 percent regional
pricing in years 4 and 5 of the CJR
model. Some other commenters
recommended for hospital-specific
pricing only because any definition of
region would not properly account for
variations due to factors such as patient
characteristics, socioeconomic factors,
and access to care.
Some commenters recommended that
instead of blending regional and
hospital-specific historical average CJR
episode payments, we use the higher of
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the two to reward hospitals that are
already efficient.
Some commenters recommended that
we delay the transition to regional
pricing in order to afford more time for
hospitals with high historic episode
expenditures, some commenters
supported our proposal to get to 100
percent regional pricing by year 4, and
some others recommended that we
accelerate the transition to regional
pricing to appropriately reward already
efficient participant hospitals.
Response: We appreciate commenters’
support for blending hospital-specific
and regional historical episode data to
calculate target prices. We appreciate
that the pace of transitioning to regional
pricing may benefit some participant
hospitals more than others. However,
we believe that the proposed approach
to get to 100 percent regional pricing by
year 4 strikes an appropriate balance
between providing participant hospitals
time to adapt while providing important
information about the reduction in
unnecessary variation in LEJR episode
utilization patterns within a region that
can be achieved.
We believe that only using hospitalspecific pricing would not reward
already efficient participant hospitals
for maintaining high performance;
participant hospitals that are already
delivering efficient and high quality
care would find it challenging to
improve upon their own historical
performance in order to qualify for
reconciliation payments. Similarly, we
believe that using the higher of regional
and hospital-specific prices would not
sufficiently incentivize inefficient
participant hospitals to become more
efficient; participant hospitals that have
historically high episode expenditures
would have less of an incentive to
become significantly more efficient over
the course of the model if they can
qualify for reconciliation payments by
improving only slightly relative to their
own historical performance, while still
being less efficient than their regional
peers.
We acknowledge the importance of
properly accounting for variations in
patient-specific clinical characteristics,
socioeconomic conditions, and access to
care to appropriately incentivize
participant hospitals to deliver high
quality and efficient care. We refer
readers to response to comments in
section III.C.4.b.(1) of this final rule for
further discussion on risk stratification
to account for such variations. We also
acknowledge that incorporating a
regional component of historical
episode data into a participant
hospital’s target prices may increase the
presence of the variations as
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73349
random variations for hospitals with
few historical episodes. In the proposed
rule, we compared our proposed low
volume threshold of 20 episodes to the
threshold used for Medicare’s HRRP
program. We continue to believe that 20
episodes in the 3-historical-years of data
used to calculate target prices is the
appropriate ‘‘low volume’’ threshold for
blending target prices that mitigates
effects of random variation while still
incorporating hospital-specific
historical experience and affording
participant hospitals an opportunity to
transition to 100 percent regional
pricing.
Final Decision: After consideration of
the public comments we received, we
are finalizing the proposal to blend
hospital-specific and regional historical
expenditures in setting target prices,
though we note that the term ‘‘CJR
eligible hospitals’ is being renamed to
‘‘CJR regional hospitals’’ as discussed in
response to comments in section
III.C.4.b.(4) of this final rule.
performance years of the model, and
their target prices would not incorporate
any data from hospital-specific
historical experience. Let us take as an
example a participant hospital that has
50 episodes in the 3-historical-years of
data used to calculate target prices for
performance year 1, and let us assume
that the hospital-specific portion of its
target price is higher than the regional
component. This participant hospital
would need to become more efficient so
as to achieve actual episode
expenditures below its target prices. By
blending the hospital-specific and
regional components of the target price,
this hospital has a higher target price
than it would have had it received a 100
percent regional price. With the higher
target price, the participant hospital has
a greater opportunity to improve its
efficiency and qualify for reconciliation
payments. The blending of regional and
hospital-specific target prices affords
historically less efficient hospitals an
opportunity to be rewarded for
improvement in the earlier performance
years, while they prepare for
transitioning to 100 percent regional
pricing by performance year 4. We want
to afford this transition opportunity to
as many participant hospitals as
possible, while minimizing the effect of
In all 5 performance years we
proposed to define ‘‘region’’ as one of
the nine U.S. Census divisions 30 in
Figure 3.
30 There are four census regions—Northeast,
Midwest, South, and West. Each of the four census
regions is divided into two or more ‘‘census
divisions’’.’’. Source: https://www.census.gov/geo/
reference/gtc/gtc_census_divreg.html.. Accessed on
April 15, 2015.
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(6) Define Regions as U.S. Census
Divisions
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commenters stated, thereby making
appropriate risk adjustment and/or risk
stratification that much more important.
As discussed in the response to
comments in section III.C.4.b.(1) of this
final rule, we will risk stratify based on
anchor MS–DRG and hip fracture status,
and we may explore more
comprehensive risk adjustment
approaches.
Comment: Several commenters
recommended modifying the definition
of low volume as it is used to determine
which participant hospitals receive 100
percent regional target prices because
they do not have a sufficient number of
CJR episodes in the 3-historical-years of
data used to calculate target prices.
Commenters suggested increasing the
low volume threshold for hospitalspecific and regional target pricing from
20 to, for example, 100 episodes,
because 20 episodes was not sufficient
to remove random variation.
Response: We agree with commenters
that a greater number of participant
hospital-specific episodes would better
remove the effects of random variation.
However, if we increase the low volume
threshold for blending hospital-specific
and regional target prices, more
participant hospitals would receive 100
percent regional prices in the first three
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We considered using states, HRRs,
and the entire U.S. as alternative
options to U.S. Census divisions in
defining the region used in blending
provider-specific and regional historical
episode data for calculating target
prices. However, HRR definitions are
specifically based on referrals for
cardiovascular surgical procedures and
neurosurgery, and may not reflect
referral patterns for orthopedic
procedures. Using the entire U.S. would
not account for substantial current
regional variation in utilization, which
is significant for episodes that often
involve PAC use, such as LEJR
procedures.32 Finally, we considered
using states as regions but were
concerned that doing so would not
allow for sufficient LEJR episode
volume to set stable regional
components of target prices, especially
for participant hospitals in small states.
We believe U.S. Census divisions
provide the most appropriate balance
between very large areas with highly
disparate utilization patterns and very
small areas that would be subject to
price distortions due to low volume or
hospital-specific utilization patterns.
We sought comment on our proposal
to define a region as the U.S. Census
division for purposes of the regional
component of blended target prices
under CJR.
The following is a summary of the
comments received and our responses.
Comment: Some commenters
supported the use of U.S. Census
divisions as regions. Some commenters,
though, stated U.S. Census divisions are
too large with significant practice and
PAC access variations, resulting in
different average historical expenditures
across hospitals in the same U.S. Census
division. Some commenters suggested
an alternative of using MSAs as regions;
MSAs would align with the provider
selection process, and the smaller unit
for regions would better capture
regional practice pattern differences.
Other commenters, including MedPAC,
stated that we should define the entire
nation as the region (that is, national
pricing) because we should be striving
towards eliminating regional variations
in practice patterns.
Response: We appreciate commenters’
support for the use of U.S. Census
divisions as regions. Especially given
that commenters proposed both larger
regions (that is, national pricing) and
smaller regions (that is, MSAs), we still
believe U.S. Census divisions provide
the most appropriate balance between
very large areas with highly disparate
utilization patterns and very small areas
that would be subject to price
distortions due to low volume or
hospital specific utilization patterns.
Comment: Several commenters noted
that some of the selected MSAs for
participation in CJR span two different
U.S. Census divisions. These
commenters stated that the true cost for
hospitals in the same MSA would likely
not be different, and significant
differences in pricing would create
unfair market advantages due to a
hospital’s address within an MSA. They
suggested blending the regional target
price component of the two U.S. Census
divisions that are being spanned for
each of these MSAs, reflecting the
distribution of the population within
the MSA/census regions.
Response: We agree with commenters
that the true cost for hospitals in the
same MSA may not be different, and
significant differences in pricing may
create unfair market advantages due to
a hospital’s address within an MSA. We
will modify our proposal and apply the
same regional target price component to
target pricing for all participant
hospitals within an MSA, even if the
MSA spans two U.S. Census divisions.
There are three selected MSAs for
participation in CJR that span two U.S.
Census divisions: St. Louis, Cincinnati,
and Cape Girardeau.
We considered the approach
suggested by commenters—blending the
two regional target price components
based on the population distribution.
However, using 2010 U.S. Census data,
we determined that at least 75 percent
of the population in the previously
mentioned MSAs resides in just one of
the U.S. Census divisions that the MSA
spans. For simplicity, we will
completely group MSAs that span U.S.
Census divisions together with the U.S.
Census divisions in which the Census
estimates the majority of people reside,
as shown in Table 9:
TABLE 9—REGION GROUPING FOR SELECTED MSAS THAT SPAN U.S. CENSUS DIVISIONS
U.S. Census division
used
for CJR region
Original U.S. Census divisions spanned by MSA
(state included in MSA)
St. Louis, MO-IL ...............
Cincinnati, OH-KY-IN .......
Cape Girardeau, MO-IL ....
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MSA
West North Central (MO), East North Central (IL) ..............................................................
East North Central (OH, IN), East South Central (KY) ........................................................
West North Central (MO), East North Central (IL) ..............................................................
Final Decision: After consideration of
the public comments we received, we
are modifying our proposal to define
regions as U.S. Census divisions so as to
ascribe the same regional component of
target prices for participant hospitals in
MSAs that span U.S. Census divisions.
Specifically, as described in Table 9,
selected MSAs that span U.S. Census
divisions will be attributed to one U.S.
Census division for purposes of
calculating the regional component of
CJR target prices.
(7) Normalize for Provider-Specific
Wage Adjustment Variations
31 https://www.eia.gov/consumption/commercial/
census_maps.cfm.
32 Hussey PS, Huckfeldt P, Hirshman S, Mehrotra
A. Hospital and regional variation in Medicare
payment for inpatient episodes of care [published
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We note that some variation in
historical CJR episode payments across
hospitals in a region may be due to wage
adjustment differences in Medicare’s
payments. In setting Medicare payment
rates, Medicare typically adjusts
facilities’ costs attributable to wages and
wage-related costs (as estimated by the
Secretary from time to time) by a factor
(established by the Secretary) reflecting
the relative wage level in the geographic
area of the facility or practitioner (or the
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West North Central.
East North Central.
West North Central.
beneficiary residence, in the case of
home health and hospice services)
compared to a national average wage
level. Such adjustments are essential for
setting accurate payments, as wage
levels vary significantly across
geographic areas of the country.
However, having the wage level for one
hospital influence the regionalcomponent of hospital-specific and
regional blended target prices for
another hospital with a different wage
level would introduce unintended
pricing distortions not based on
utilization pattern differences.
online April 13, 2015]. JAMA Intern Med.
doi:10.1001/jamainternmed.2015.0674.
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In order to preserve how wage levels
affect provider payment amounts, while
minimizing the distortions introduced
when calculating the regionalcomponent of blended target prices, we
proposed to normalize for wage index
differences in historical episode
payments when calculating and
blending the regional and hospitalspecific components of blended target
prices. Calculating blended target prices
from historical CJR episodes would help
ensure we incentivize hospitals based
on historical utilization and practice
patterns, not Medicare payment system
rate changes that are beyond hospitals’
control.
We proposed to normalize for
provider-specific wage index variations
using the IPPS wage index applicable to
the anchor hospitalization (that is, the
IPPS wage index used in the calculation
of the IPPS payment for the anchor
hospitalization). The anchor
hospitalization accounts for
approximately 50 percent of the total
episode expenditures, and the IPPS
wage index is applied to IPPS payments
in a similar manner as wage indices for
other Medicare payment systems are
applied to their respective payments.33
Therefore, we proposed that the IPPS
wage index applicable to the anchor
hospitalization for each historical
episode be used to normalize for wage
index variations in historical episode
payments across hospitals when
calculating blended target prices. We
proposed to specifically perform this
normalization using the wage
normalization factor (0.7 * IPPS wage
index + 0.3) to adjust the labor-related
portion of payments affected by wage
indices. The 0.7 approximates the labor
share in IPPS, IRF PPS, SNF, and HHA
Medicare payments. We would
normalize for provider-specific wage
index variations by dividing a hospital’s
historical episode payments by the wage
normalization factor.
We proposed to reintroduce the
hospital-specific wage variations by
multiplying episode payments by the
wage normalization factor when
calculating the target prices for each
participant hospital, as described in
section III.C.4.c. of the proposed rule.
When reintroducing the hospitalspecific wage variations, the IPPS wage
index would be the one that applies to
the hospital during the period for which
target prices are being calculated (for
example, FY 2016 wage indices for the
target price calculations for episodes
that begin between January 1 and
33 Medicare FFS Parts A and B claims, CJR
episodes, as proposed in this rule, between October
2013 and September 2014.
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September 30, 2016). The specific order
of steps, and how this step fits in with
others, is discussed further in section
III.C.4.c. of the proposed rule. We
sought comment on our proposal to
normalize for wage index differences
using participant hospitals’ wage
indices in order to calculate blended
target prices.
The following is a summary of the
comments received and our responses.
Comment: Commenters emphasized
the need to account for wage index
differences. Not accounting for these
differences accurately may unfairly
disadvantage some hospitals. Some
commenters expressed concern about
using 0.7 as the labor share for the labor
related portions of Medicare FFS
payments; the weight index weight
varies by Medicare FFS payment
system, and in IPPS in particular, the
weight can be either 0.688 or 0.620,
depending on the IPPS hospital’s wage
index. Some other commenters noted
that using only the IPPS wage index for
the anchor hospital would not
accurately normalize expenditures for
PAC providers who have their own
wage indices. Some of these
commenters recommended we blend
hospital and PAC providers’ wage
indices. Some commenters requested
clarification on how we would account
for wage index differences between
baseline and performance periods.
Response: We acknowledge the need
to accurately account for wage index
differences so that we incentivize based
on practice patterns and not Medicare
FFS fee schedule differences. We
recognize that the proposed approach of
using the anchor hospital’s wage index
and 0.7 as the labor share for the labor
related portions of Medicare FFS
payments would only approximately
normalize and reapply wage indices.
In response to commenters, we will
modify our proposal and normalize for
wage indices at the claim level for both
historical episode expenditures and
actual episode expenditures in each
performance year by using the wage
index normalization algorithm included
in the CMS Price (Payment)
Standardization Detailed Methodology
discussed in section III.C.3 of this final
rule, the same methodology we finalized
to exclude the various special payment
provisions in calculating episode
expenditures. By normalizing claims for
wage indices in the historical episode
expenditure data at the claim level, we
will accurately account for wage indices
and labor shares for various providers
and suppliers under the different
Medicare FFS payment systems. This
will be a more accurate way than what
we proposed to achieve the same goal of
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accounting for wage index differences
so that we incentivize based on practice
patterns and not Medicare FFS wage
adjustment differences. We will also
normalize claims for wage indices in
performance year data, as we discuss
further in response to comments in
section III.C.6.a. of this final rule.
We believe it is still important to
reintroduce wage index variations near
the end of the target price calculation
methodology. Participant hospitals may
use their reconciliation payments to
invest in care coordination or care
delivery infrastructure, and we expect
that the costs for such investments
would vary by geography due to
differences in local wages. For example,
we expect that hiring a care coordinator
would cost a participant hospital more
in the New York metro region than in
a rural part of New Mexico. If we do not
reintroduce wage index variations into
target price calculations, we would
calculate reconciliation and repayment
amounts that would not capture labor
cost variation throughout the country,
and participant hospitals in higher labor
cost regions may see relatively less
financial incentive to invest in
improved care quality and efficiency.
We intend to incentivize all hospitals to
reduce episode spending under the CJR
model, regardless of local labor cost
variations.
We will use the proposed approach to
reintroduce wage index variations—
apply the participant hospital’s wage
index to episode spending, using 0.7 as
the labor share. While commenters are
correct that the IPPS labor share can be
0.688 or 0.620, depending on the
participant hospital’s wage index, the
labor share for PAC providers also
varies across Medicare FFS payment
systems: ∼0.695 for SNF PPS and IRF
PPS, and ∼0.785 for HH PPS. Given this
range for the labor share across
Medicare FFS payment systems, we
believe that using 0.7 is an appropriate
estimate of the labor share for
reintroducing wage index variations.
Additionally, as commenters pointed
out, PAC providers have their own wage
indices. Because wage index variations
are reintroduced near the end of the
target price calculation methodology
and after other features, such as
blending, pooling, and update factors
are applied, we do not believe there is
a simple approach to reintroduce wage
index variations at the claim level. We
acknowledge that using the participant
hospital’s wage index and 0.7 as the
labor share would only be an
approximation of the wage index
variations, but this approximation
would not change whether a participant
hospital qualifies for reconciliation
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payments or is obligated to repay
Medicare because we would apply wage
index normalization at the claim level
for both target price calculations (as
previously discussed) as well as
calculations of actual episode spending
(as discussed in response to comments
in section III.C.6.a. of this final rule),
and the wage index variation would be
reintroduced in the same manner to
both target price calculations (as
previously discussed) and actual
episode spending calculations (as
discussed in response to comments in
section III.C.6.a. of this final rule). We
believe that this approach to
reintroducing wage index variations is
sufficient to modulate the reconciliation
and repayment amounts to reflect local
labor cost variations.
Final Decision: After consideration of
the public comments we received, we
are modifying our proposal so as to
normalize for wage indices at the claim
level by using the wage index
normalization algorithm included in the
CMS Price (Payment) Standardization
Detailed Methodology discussed in
section III.C.3., the same claim-level
standardization methodology we
finalized in section III.C.3.a. to exclude
the various special payment provisions
in calculating episode expenditures. We
are finalizing the proposal to
reintroduce wage index differences into
calculations of historical and actual
episode spending based on the
participant hospital’s wage index and
0.7 as the labor cost share.
A hospital-specific pooled historical
average episode payment would be
calculated by multiplying the hospital’s
hospital weight by its combined
historical average episode payment
(sum of MS–DRG 469 and 470 anchored
historical episode payments divided by
the number of MS–DRG 469 and 470
historical episodes).
The calculation of the hospital
weights and the hospital-specific pooled
historical average episode payments
would be comparable to how case mix
indices are used to generate case mixadjusted Medicare payments. The
hospital weight essentially would count
each MS–DRG 469 triggered episode as
more than one episode (assuming MS–
DRG 469 anchored episodes have higher
average payments than MS–DRG 470
anchored episodes) so that the pooled
historical average episode payment, and
subsequently the target price, is not
skewed by the hospital’s relative
breakdown of MS–DRG 469 versus 470
anchored historical episodes.
The hospital-specific pooled
historical average payments would be
modified by blending and discount
factors, as described in section III.C.4.c.
of the proposed rule. Afterwards, the
hospital-specific pooled calculations
would be ‘‘unpooled’’ by setting the
MS–DRG 470 anchored episode target
price to the resulting calculations, and
by multiplying the resulting
calculations by the anchor factor to
produce the MS–DRG 469 anchored
target prices.
We would calculate region-specific
weights and region-specific pooled
historical average payments following
the same steps proposed for hospitalspecific weights and hospital-specific
pooled average payments. Instead of
grouping episodes by the attributed
hospital as is proposed for hospitalspecific calculations, region-specific
calculations would group together
episodes that were attributed to any CJR
eligible hospital located within the
region. The hospital-specific and regionspecific pooled historical average
payments would be blended together as
discussed in section III.C.4.b.(3) of the
proposed rule. The specific order of
steps, and how this step fits in with
others, is discussed further in section
III.C.4.c. of the proposed rule.
We considered an alternative option
of independently setting target prices for
MS–DRG 470 and 469 anchored
episodes without pooling them.
However, hospital volume for MS–DRG
469 was substantially less than for MS–
DRG 470. In 2013 across all IPPS
hospitals, there were more than 10 times
as many MS–DRG 470 anchored
episodes as compared to MS–DRG 469
anchored episodes.34 In the same
analysis, the median number of
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(8) Combination of CJR Episodes
Anchored by MS–DRGs 469 and 470
We proposed to pool together CJR
episodes anchored by MS–DRGs 469
and 470 for target price calculations to
use a greater historical CJR episode
volume and set more stable target
prices. We note that we would still
34 Source:
CCW Part A and Part B claims for CJR
episodes beginning in CY 2013.
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calculate separate target prices for
episodes anchored by MS–DRGs 469
versus 470, described later in this
section.
To pool together MS–DRG 469 and
470 anchored episodes, we proposed to
use an anchor factor and hospital
weights. The anchor factor would equal
the ratio of national average historical
MS–DRG 469 anchored episode
payments to national average historical
MS–DRG 470 anchored episode
payments. The national average would
be based on episodes attributed to any
CJR eligible hospital. The resulting
anchor factor would be the same for all
participant hospitals. For each
participant hospital, a hospital weight
would be calculated using the following
formula, where episode counts are
participant hospital-specific and based
on the episodes in the 3-historical-years
used in target price calculations:
episodes for a hospital with at least 1
episode for the MS–DRG anchored
episode was more than 80 for MS–DRG
470 anchored episodes, though fewer
than 10 for MS–DRG 469 anchored
episodes. Calculating target prices for
MS–DRG 469 anchored episodes
separately for each participant hospital
may result in too few historical episodes
to calculate reliable target prices. We
also considered pooling together MS–
DRG 469 and 470 anchored episodes
without any anchor factor or hospital
weights. However, internal analyses
suggest that average episode payments
for these two MS–DRG anchored
episodes significantly differed; CJR
episodes initiated by MS–DRG 469 had
payments almost twice as large as those
initiated by MS–DRG 470.35 This
difference is reasonable given that
Medicare IPPS payments differ for MS–
DRG 469 and 470 admissions, and
inpatient payments comprise
approximately 50 percent of CJR
episode payments. Thus, pooling
together MS–DRG 469 and 470 anchored
episodes without any anchor factor or
hospital weights would introduce
distortions due only to case-mix
differences.
The following is a summary of the
comments received and our responses.
35 Medicare FFS Parts A and B claims, CJR
episodes, as proposed in this rule, between October
2013 and September 2014.
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Comment: Many commenters
requested for risk adjustment based on
patients’ hip fracture status, among
other clinical and demographic
dimensions.
Response: We refer readers to
comments and responses to comments
in section III.C.4.b.(1) of this final rule
for further discussion on risk
stratification, and we reference it here
73353
because changes to risk stratification
would impact how we would combine
CJR episodes anchored by MS–DRGs
469 and 470. As discussed in the
responses to comments in section
III.C.4.b.(1) of this final rule, we will
modify our proposal so as to risk stratify
and set different target prices both for
episodes anchored by MS–DRG 469 vs.
MS–DRG 470 and for episodes with hip
fractures vs. without hip fractures. To
fully incorporate this change, we will
also modify the proposed approach to
calculate anchor factors and hospital
and regional weights so as to apply
them to four groups of target prices,
instead of two groups; otherwise, the
approach will be the same as proposed.
Specifically, we will have three anchor
factors, instead of one:
during that performance period and for
which the hospital would be fully, or
partly, accountable for episode spending
in relationship to the target price, as
discussed in section III.C.3. of the
proposed rule. We expect participant
hospitals to have significant opportunity
to improve the quality and efficiency of
care furnished during episodes in
comparison with historical practice,
because this model would facilitate the
alignment of financial incentives among
providers caring for beneficiaries
throughout the episode. This discount
would serve as Medicare’s portion of
reduced expenditures from the CJR
episode, with any episode expenditure
below the target price potentially
available as reconciliation payments to
the participant hospital where the
anchor hospitalization occurred. We
proposed to apply a 2 percent discount
for performance years 1 through 5 when
setting the target price. We stated our
belief in the proposed rule that applying
a 2 percent discount in setting the
episode target price allows Medicare to
partake in some of the savings from the
CJR model, while leaving considerable
opportunity for participant hospitals to
achieve further episode savings below
the target price that they would be paid
as reconciliation payments, assuming
they meet the quality requirements as
discussed in section III.C.5 of the
proposed rule.
The proposed 2 percent discount is
similar to the range of the discounts
used for episodes in the ACE
demonstration.36 In the Medicare ACE,
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(9) Discount Factor
When setting an episode target price
for a participant hospital, we proposed
to apply a discount to a hospital’s
hospital-specific and regional blended
historical payments for a performance
period to establish the episode target
price that would apply to the
participant hospital’s CJR episodes
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36 IMPAQ International. Evaluation of the
Medicare Acute Care Episode (ACE) Demonstration:
Final Evaluation Report. Columbia, MD: IMPAQ
International; May 2013. https://downloads.cms.gov/
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Final Decision: After consideration of
the public comments we received, we
are finalizing our proposal, with
modification to calculate anchor factors
and hospital and regional weights while
incorporating the previously discussed
changes to risk adjust not only on
anchor MS–DRG but also hip fracture
status. Additionally, note that the term
‘‘CJR eligible hospitals’’ is being
renamed to ‘‘CJR regional hospitals’’ as
discussed in response to comments in
section III.C.4.b.(4) of this final rule.
ER24NO15.011
Additionally, hospital and regional
weights will be calculated using the
following formula:
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a demonstration program that included
orthopedic procedures such as those
included in CJR, participant hospitals
negotiated with Medicare discounts of
2.5 to 4.4 percent of all Part A
orthopedic services and 0.0 to 4.4
percent of all Part B orthopedic services
during the inpatient stay (excluding
PAC). Hospitals received the discounted
payment and reported that they were
still able to achieve savings.37 We stated
our belief in the proposed rule that there
is similar, if not potentially more,
opportunity for savings in the CJR
payment model because it includes
acute inpatient, as well as PAC, an area
of episode spending that accounts for
approximately 25 percent of CJR
episode payments and exhibits more
than 2 times the episode payment
variation 38 than that of acute inpatient
hospitalization.39 We stated in the
proposed rule our belief that with the
proposed 2 percent discount,
participant hospitals have an
opportunity to create savings for
themselves as well as Medicare, while
also maintaining or improving quality of
care for beneficiaries.
The proposed 2 percent discount also
matches the discount used in the BPCI
Model 2 90-day episodes, and is less
than the discount used in BPCI Model
2 30-day and 60-day episodes (3
percent). Hundreds of current BPCI
participants have elected to take on
responsibility for repayment in BPCI
Model 2 with a 2 to 3 percent discount.
Because many BPCI participants
volunteered to participate in a bundled
payment model with a discount, we
stated in the proposed rule our belief
that a discount percent that is within,
and especially a discount of 2 percent
that is at the lower end of, the BPCI
discount range would allow CJR
participant hospitals to create savings
for both themselves and Medicare.
As stated previously in section III.C.3.
of the proposed rule, we proposed to
phase in the financial responsibility of
hospitals for repayment of actual
episode spending that exceeds the target
price starting in performance year 2. In
files/cmmi/ACE-EvaluationReport-Final-5-2-14.pdf.
Accessed April 16, 2015.
37 IMPAQ International. Evaluation of the
Medicare Acute Care Episode (ACE) Demonstration:
Final Evaluation Report. Columbia, MD: IMPAQ
International; May 2013. https://downloads.cms.gov/
files/cmmi/ACE-EvaluationReport-Final-5-2-14.pdf.
Accessed April 16, 2015.
38 Variation for purposes of this calculation refers
to standard deviation of inpatient and institutional
post-acute episode payments as a percentage of
average inpatient and post-acute episode payments,
respectively.
39 Medicare FFS Parts A and B claims, CJR
episodes, as proposed in this rule, between October
2013 and September 2014.
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order to help hospitals transition to
taking on this responsibility, we
proposed to apply a reduced discount of
one percent in performance year 2 for
purposes of determining the hospital’s
responsibility for excess episode
spending, but maintain the 2 percent
discount for purposes of determining
the hospital’s opportunity to receive
reconciliation payment for actual
episode spending below the target price.
For example, under this proposal in
performance year 2, a hospital that
achieves CJR actual episode payments
below a target price based on a 2 percent
discount would retain savings below the
target price, assuming the quality
thresholds for reconciliation payment
eligibility are met (discussed in section
III.C.5. of the proposed rule) and the
proposed performance year stop-gain
limit (discussed in section III.C.8. of the
proposed rule) does not apply. Medicare
would hold responsible for repayment
hospitals whose CJR actual episode
payments exceed a target price based on
a one percent discount, assuming the
proposed performance year 2 stop-loss
limit (discussed in section III.C.8. of the
proposed rule) does not apply. Hospitals
that achieve CJR actual episode
payments between a 2 percentdiscounted target price and 1 percentdiscounted target price would neither
receive reconciliation payments nor be
held responsible for repaying Medicare.
The decision on which percentdiscounted target price applies will be
made by evaluating actual episode
payments in aggregate after the
completion of performance year 2, and
the same percent-discounted target price
would apply to all episodes that are
initiated in performance year 2. We
proposed to apply this reduced one
percent discount for purposes of
hospital repayment responsibility only
in performance year 2 and apply the 2
percent discount for excess episode
spending repayment responsibility for
performance years 3 through 5. Under
this proposal, the discount for
determination of reconciliation payment
for episode actual spending below the
target price would not deviate from 2
percent through performance years 1
through 5.
In section III.C.5. of the proposed rule,
we proposed voluntary submission of
data for a patient-reported outcome
measure. We proposed to incent
participant hospitals to submit data on
this measure by reducing the discount
percentage by 0.3 percentage points for
successfully submitting data, as defined
in section III.D. of the proposed rule. By
successfully submitting data on this
metric for episodes ending in
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performance years 1, 2, 3, 4, and or 5,
we would adjust the discount
percentage in the corresponding year(s)
as follows:
• For episodes beginning in
performance year 2, set the discount
percentage in a range from 2 percent to
1.7 percent for purposes of determining
the hospital’s opportunity to receive
reconciliation payment for actual
episode spending below the target price,
and set the discount percentage in a
range from 1 percent to 0.7 percent for
purposes of determining the amount the
hospital would be responsible for
repaying Medicare for actual episode
spending above the target price.
• For episodes beginning in
performance years 3 through 5, set the
discount percentage in a range from 2
percent to 1.7 percent for purposes of
reconciliation payment and Medicare
repayment calculations.
The determination of whether the
hospital successfully submitted data on
the patient-reported outcome measure
cannot be made until after the
performance year ends and data is
reported. Therefore, participant
hospitals would be provided target
prices for both scenarios whether the
successfully submit data or not and
such determination will happen at the
time of payment reconciliation
(discussed further in section III.C.6. of
the proposed rule).
We sought comment on our proposed
discount percentage of 2 percent for CJR
episodes, our proposal to reduce the
discount to 1 percent on a limited basis
in performance year 2, and our proposal
to reduce the discount by 0.3 percentage
points for successfully reporting patientreported outcomes data in the
corresponding year.
The following is a summary of the
comments received and our responses.
Comment: Many commenters
expressed concern about participant
hospitals taking on financial risk in the
CJR model. We refer readers to
comments in section III.C.2, of this final
rule for more discussion of such
comments, and we reference them here
because these comments may impact
how the proposed discount factor is
used to phase in risk for participant
hospitals.
Response: As discussed in the
responses to comments in section
III.C.2. of this final rule, we appreciate
commenters’ concerns about participant
hospitals’ ability to manage risk. In the
proposed rule, we proposed to use
several design elements to phase in risk
to better help transition participant
hospitals. One of these design elements
to phase risk in was the use of a reduced
discount factor by 1 percentage point for
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purposes of calculating repayment
amounts in performance year 2, as
discussed earlier in this section. In
response to commenters’ concerns, we
will extend the use of a reduced
discount factor for purposes of
calculating repayment amounts to apply
not only in performance year 2, but also
in performance year 3.
Comment: Many commenters offered
a variety of suggestions to CMS’s
proposal and alternatives considered to
link quality and payment in the CJR
model, including varying the discount
percentage incorporated in the target
price at reconciliation based on the
participant hospital’s quality
performance. We refer readers to
comments in section III.C.5 of this final
rule for greater discussion of comments
on linking quality and payment in the
CJR mode.
Response: As discussed in the
responses to comments later in this final
rule in section III.C.5. of this final rule,
we are modifying the proposed rule so
as to use a composite score methodology
to link quality and payment in the CJR
model. With this composite score
methodology, each hospital will receive
a discount factor of 3 percent, though
the discount factor would be 2 percent
for purposes of calculating repayments
to Medicare in performance years 2 and
3, reflecting the proposed discount
factor reduction by 1 percentage point
and the extension to performance year
3 of this reduction, to phase in
downside risk, as discussed in the
previous response.
Each participant hospital may qualify
for a quality incentive payment. The
quality incentive payment would not be
a separate payment stream, but rather it
would alter a hospital’s effective
discount factor used to calculate its
target prices. Depending on a
participant hospital’s quality
performance, in performance years 1, 4,
and 5, the quality incentive payments
could result in effective discount factors
ranging from 3 percent to 1.5 percent. In
performance years 2 and 3, the quality
incentive payments could result in
effective discount factors for purposes of
calculating reconciliation payments
ranging from 3 percent to 1.5 percent,
and for purposes of calculating
repayment amounts from 2 percent to
0.5 percent. We note that the lower
effective discount factors for calculating
repayment amounts in performance
years 2 and 3 reflect the reduction by 1
percentage point in discount factor to
phase in downside risk.
If hospitals’ quality performance
during the CJR model mirrors historical
quality performance, we expect the
majority of the participant hospitals to
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qualify for an effective discount factor of
2 percent each performance year for
purposes of reconciliation payment
calculations, the same discount factor
proposed for all participant hospitals in
the proposed rule. By using a range of
discount factors, we will offer more
participant hospitals an opportunity to
qualify for reconciliation payments, and
we will be able to better reward the
highest quality participant hospitals.
We refer readers to responses to
comments in section III.C.5 of this final
rule for more details on quality
incentive payments, effective discount
factors, the link between quality and
payment, and how participant hospitals
may perform based on historical quality
performance.
Comment: Some commenters
recommended that we not apply a
discount factor to any hospital because
it would effectively function as a rate
cut for MS–DRGs 469 and 470. Some of
these commenters suggested we could
achieve savings using a shared savings
methodology (for example, participant
hospitals would receive 50 percent of
actual episode performance below
undiscounted target prices, and would
repay 50 percent of actual episode
performance above undiscounted target
prices).
Response: We disagree with
commenters that a discount factor is the
equivalent of a rate cut. We are
providing participant hospitals the
opportunity to qualify for reconciliation
payments for delivering high quality
and efficient care for LEJR episodes, and
reconciliation payments may likely
exceed the value of the discount factor.
The discount factor will serve as
Medicare’s portion of reduced
expenditures from the CJR episode. We
acknowledge that there are other
potential mechanisms, including shared
savings methodologies, to provide
savings to Medicare while also
incentivizing participant hospitals.
However, we also believe that a
discount model, as proposed, can also
incentivize participant hospitals to
deliver high quality and efficient care
while also providing savings to
Medicare. We appreciate commenters’
suggestions and we may consider
alternative methodologies, such as
shared savings, in the future.
Comment: Several commenters
requested that we not apply a discount
factor to hospitals that are already
efficient because they would not be able
to achieve further efficiencies. It would
be challenging for these efficient
hospitals to qualify for reconciliation
payments if benchmarked against a
target price that incorporates a discount
factor.
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Response: Commenters’ concerns
could be valid if we were basing target
prices only on hospital-specific episode
expenditure data. However, because we
are blending hospital-specific and
regional components in the target price
calculation, and transitioning to
completely regional target prices by
performance year 4, target prices for
more efficient hospitals likely would be
higher than what they would be under
a hospital-specific only pricing
approach. We believe that with the
blending and transition to regional
pricing, historically efficient and high
quality participant hospitals have a
significant opportunity to qualify for
reconciliation payments. Additionally,
as discussed in the response to
comments in section III.C.5. of this final
rule, we are modifying our proposal to
provide lower effective discount factors
used to calculate target prices for
participant hospitals with better quality
performance. Therefore, high quality
participant hospitals will have a lower
hurdle to overcome to qualify for
reconciliation payments. We will
continue to incorporate a discount
percentage into the target price for every
participant hospital, and we will use a
reduced discount factor for participant
hospitals with high quality
performance, as stated previously in this
section’s responses to comments and in
section III.C.5. of this final rule.
Comment: Commenters requested
upfront investments to fund care
delivery (for example, care
coordination), infrastructure, and
quality reporting changes that
participant hospitals may need to make,
similar to how some ACOs use upfront
investments in other models and
programs (for example, an initiative
similar to the ACO Investment Model
for Medicare Shared Savings Program
participants). Commenters suggested we
fund these upfront investments in a
number of ways, including the
following: a supplemental lump sum
payment at the start of the model;
increase, instead of discount, historical
episode expenditures by 2 percent; or
transition in an increasing discount
factor, getting to 2 percent by the end of
the model.
Response: We thank the commenter
for the suggestion and for recognizing
the importance of potential care
delivery, infrastructure, and quality
reporting changes participant hospitals
may need to make for an episode-based
payment model such as CJR. However,
we do not believe that an additional
upfront payment mechanism such as a
per-beneficiary-per-month payment or
an additional payment per episode will
be necessary for hospitals to
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successfully participate in this model.
In BPCI, a similar episode-based
payment model, participants have been
able to improve episode expenditure
performance without such additional
upfront payment mechanisms.
Additionally, we believe there may be
low investment opportunities for
participant hospitals to achieve high
quality and efficiency and qualify for
reconciliation payments in this model.
For example, participant hospitals may
refer to high quality and efficient PAC
providers when appropriate, and
updates to discharge and referral
patterns may be informed using already
publicly available quality data and
historical episode expenditure data
provided by CMS and discussed in
section III.E. of this final rule. PAC
expenditures account for a significant
proportion of historical CJR episode
expenditures (approximately 30
percent 40), and changes to discharge
and referral patterns could have
significant impact on participant
hospitals’ actual episode expenditure
performance. We note that this rationale
may not hold true for other models (for
example, patient-centered medical
homes, ACOs) where providers are
responsible for beneficiaries’ cost of care
over a longer period of time.
We also reiterate that as discussed in
section III.C.5.b. of this final rule, the
quality measures selected for this model
are already in use for mandatory CMS
quality reporting programs, such as the
IQR program. Hospitals will not
experience an additional reporting
burden under this model for such
measures. In addition, while we are
including testing of a voluntary patientreported outcomes measures, as
discussed in section III.C.5.b.2. of this
final rule, reporting of this measure will
be voluntary. We do not believe there is
any required additional burden on
participant hospitals to report quality
data.
Given the success of participants in a
similar model, the possibility to achieve
reconciliation payments with relatively
low investment approaches, and the
lack of required additional quality
reporting burden, we will not make
additional upfront payments through
mechanisms such as per-beneficiaryper-month payments or additional
payments per episode.
Final Decision: After consideration of
the public comments we received, we
are modifying our proposal to use a
composite score methodology to link
quality and payment in the CJR model.
40 Medicare FFS Parts A and B claims, CJR
episodes, as proposed in this rule, between October
2013 and September 2014.
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With this composite score methodology,
a participant hospital may qualify for a
reconciliation payment and for different
effective discount factors depending on
its quality performance. We refer
readers to section III.C.5. of this final
rule more details on how quality and
payment will be linked.
c. Approach To Combine Pricing
Features
In section III.C.4.(b) of the proposed
rule we discuss the various features we
proposed to incorporate into our
approach to set target prices. We refer
readers to that section for more
information on rationale and
alternatives considered for each feature.
In this section we discuss how the
different pricing features, as well as the
episode definition (section III.B. of the
proposed rule) and adjustments to
payments included in the episodes
(section III.C.3. of the proposed rule),
would fit together and be sequenced to
calculate CJR episode target prices for
participant hospitals. The following
steps would be used to calculate MS–
DRG 469 and 470 anchored episode
target prices for both January 1 through
September 30 and October 1 through
December 31 each performance year.
The output of each step would be used
as the input for the subsequent step,
unless otherwise noted.
• (1) Calculate historical CJR episode
payments for episodes that were
initiated during the 3-historical-years
(section III.C.4.b.(2) of the proposed
rule) for all CJR eligible hospitals for all
Medicare Part A and B services
included in the episode. We note that
specific Per Beneficiary Per Month
(PBPM) payments may be excluded
from historical episode payment
calculations as discussed in section
III.C.7.d. of the proposed rule.
• (2) Remove effects of special
payment provisions (section III.C.3.a. of
the proposed rule).
• (3) Prorate Medicare payments for
included episode services that span a
period of care that extends beyond the
episode (section III.C.3.b of the
proposed rule.).
• (4) Normalize for hospital-specific
wage adjustment variation by dividing
the episodes outputted in step (3) by the
hospital’s corresponding wage
normalization factor described in
section III.C.4.b.(7) of the proposed rule.
• (5) Trend forward 2 oldest historical
years of data to the most recent year of
historical data. As discussed in section
III.C.4.b.(3) of the proposed rule,
separate national trend factors would be
applied to episodes anchored by MS–
DRG 469 versus MS–DRG 470.
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• (6) Cap high episode payment
episodes with a region and MS–DRG
anchor-specific high payment ceiling as
discussed in section III.C.3.c. of the
proposed rule, using the episode output
from the previous step. We have posted
region-specific historical average
episode payments on the CJR Web site
at https://innovation.cms.gov/initiatives/
CJR/. Note that these historical average
episode payments were based on our
proposed policies and do not represent
actual target prices or the regional
portion of actual target prices under the
model.
• (7) Calculate anchor factor and
participant hospital-specific weights
(section III.C.4.b.(8) of the proposed
rule) using the episode output from the
previous step to pool together MS–DRG
469 and 470 anchored episodes,
resulting in participant hospital-specific
pooled historical average episode
payments. Similarly, calculate regionspecific weights to calculate regionspecific pooled historical average
episode payments.
• (8) Calculate participant hospitalspecific and region-specific weighted
update factors as described in section
III.C.4.b.(4) of the proposed rule.
Multiply each participant hospitalspecific and region-specific pooled
historical average episode payment by
its corresponding participant hospitalspecific and region-specific weighted
update factors to calculate participant
hospital-specific and region-specific
updated, pooled, historical average
episode payments.
• (9) Blend together each participant
hospital-specific updated, pooled,
historical average episode payment with
the corresponding region-specific
updated, pooled, historical average
episode payment according to the
proportions described in section
III.C.4.b.(5) of the proposed rule.
Participant hospitals that do not have
the minimum episode volume across the
historical 3 years would use 0.0 percent
and 100 percent as the proportions for
hospital and region, respectively.
• (10) Reintroduce hospital-specific
wage variations by multiplying the
participant hospital-specific blended,
updated, and pooled historical average
episode payments by the corresponding
hospital-specific wage normalization
factor, using the hospital’s IPPS wage
index that applies to the hospital during
the period for which target prices are
being calculated (section III.C.4.b.(7) of
the proposed rule).
• (11) Multiply the appropriate
discount factor, as discussed in section
III.C.4.b.(9) of the proposed rule to each
participant hospital’s wage-adjusted,
blended, updated, and pooled historical
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average episode payment. For
performance years 1, 3, 4, and 5, two
discount factors would be used, one if
the hospital successfully submits data
on the patient-reported outcomes
measure proposed in section III.C.5. of
the proposed rule, and one if the
hospital does not successfully submit
the data. For performance year 2, 4
discount factors would be used to
account for the 4 combinations of the
following: (a) Whether or not the
hospital successfully submits data on
the patient-reported outcomes measure;
and (b) for the different discount factors
proposed for purposes of calculating
reconciliation payments vs. calculating
repayment amounts. The result of this
calculation would be the participant
hospital-specific target prices for MS–
DRG 470 anchored episodes.
• (12) Multiply participant hospitals’
target prices for MS–DRG 470 anchored
episodes by the anchor factor (section
III.C.4.b.(8) of the proposed rule) to
calculate hospitals’ target prices for MS–
DRG 469 anchored episodes.
The previously stated twelve steps
would be used to calculate target prices
for episodes that begin between January
1 and September 30, as well as for
episodes that begin between October 1
and December 31, for each performance
year. The target price calculations for
the two different time periods each
performance year would differ by the
IPPS wage index used in step (11) and
the update factors used in step (8). By
following these twelve steps, we would
calculate target prices for each
participant hospital for each
performance year. We refer readers to
section III.C.4.b. of the proposed rule for
further details on each of the specific
steps.
We sought comment on the proposed
approach to sequence and fit together
the different pricing features, the
episode definition (section III.B. of the
proposed rule), and adjustments to
payments included in the episodes
(section III.C.3. of the proposed rule) to
calculate CJR episode target prices for
participant hospitals.
The following is a summary of the
comments received and our responses.
Comment: Many commenters
requested for risk adjustment based on
patients’ hip fracture status, among
other clinical and demographic
dimensions. Commenters also
recommended that we modify the
definition of ‘‘CJR eligible hospitals’’,
the term used to identify hospitals
included in calculations for the regional
component of target prices, to not
exclude hospitals that are participating
in BPCI.
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Response: We refer readers to
comments and responses to comments
in sections III.C.4.b.(1) and III.C.4.b.(4)
of the final rule for further discussion
on risk stratification and CJR eligible
hospitals, respectively. We reference
them here because changes to risk
stratification and CJR eligible hospitals
would impact how we would combine
CJR pricing features. Given the changes
to the proposed rule described in
sections III.C.3, III.C.4.b, and III.C.5, we
are modifying the different pricing
features would fit together and be
sequenced to calculate CJR episode
target prices for participant hospitals.
The following steps would be used to
calculate different target prices in each
performance year for each combination
of anchor MS–DRG (469 vs. 470), hip
fracture status (with hip fracture vs.
without hip fracture), and period during
which target prices are applicable
within a performance year (episodes
initiated January 1 through September
30 vs. October 1 through December 31
each performance year). The output of
each step would be used as the input for
the subsequent step, unless otherwise
noted.
• (1) Calculate historical CJR episode
payments for episodes that were
initiated during the 3-historical-years
(section III.C.4.b.(2) of this final rule) for
all CJR eligible hospitals for all
Medicare Part A and B services
included in the episode. We note that
specific PBPM payments may be
excluded from historical episode
payment calculations as discussed in
section III.C.7.d. of this final rule.
• (2) Remove effects of special
payment provisions (section III.C.3.a. of
this final rule) and normalize for wage
index differences (section III.C.4.b.(7) of
this final rule) by standardizing
Medicare FFS payments at the claimlevel.
• (3) Prorate Medicare payments for
included episode services that span a
period of care that extends beyond the
episode (section III.C.3.b of this final
rule.).
• (4) Trend forward 2 oldest historical
years of data to the most recent year of
historical data. As discussed in section
III.C.4.b.(3) of this final rule, separate
national trend factors would be applied
for each combination of anchor MS–
DRG (469 vs. 470) and hip fracture
status (with hip fracture vs. no hip
fracture).
• (5) Cap high episode payment
episodes with a region and MS DRG
anchor specific high payment ceiling as
discussed in section III.C.3.c. of this
final rule, using the episode output from
the previous step. We have posted
region specific historical average
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episode payments on the CJR final rule
Web site at https://innovation.cms.gov/
initiatives/CJR/.
• (6) Calculate anchor factor and
participant hospital specific weights
(section III.C.4.b.(8) of this final rule)
using the episode output from the
previous step to pool together MS DRG
469 and 470 anchored episodes with
and without hip fracture, resulting in
participant hospital specific pooled
historical average episode payments.
Similarly, calculate region specific
weights to calculate region specific
pooled historical average episode
payments.
• (7) Calculate participant hospital
specific and region specific weighted
update factors as described in section
III.C.4.b.(4) of this final rule. Multiply
each participant hospital specific and
region specific pooled historical average
episode payment by its corresponding
participant hospital specific and region
specific weighted update factors to
calculate participant hospital specific
and region specific updated, pooled,
historical average episode payments.
• (8) Blend together each participant
hospital specific updated, pooled,
historical average episode payment with
the corresponding region specific
updated, pooled, historical average
episode payment according to the
proportions described in section
III.C.4.b.(5) of this final rule. Participant
hospitals that do not have the minimum
episode volume across the historical 3
years would use 0.0 percent and 100
percent as the proportions for hospital
and region, respectively. For purposes
of this final rule, we will define the
output of this step as the pre-discount
target price for MS DRG 470 anchored
episodes without hip fracture.
• (9) Multiply the output of step (8)
by the appropriate anchor factors (step
(6) of this target price calculation
process and detailed in section
III.C.4.b.(8) of this final rule) for MS
DRG 469 anchored episodes with hip
fracture, MS DRG 469 anchored
episodes without hip fracture, and MS
DRG 470 anchored episodes with hip
fracture. For purposes of this final rule,
we will define the outputs of this step
as the pre-discount target prices for MS
DRG 469 anchored episodes with hip
fracture, MS DRG 469 anchored
episodes without hip fracture, and MS
DRG 470 anchored episodes with hip
fracture.
• (10) Multiply the pre-discount
target prices for MS DRGs 469 and 470
episodes with and without hip fracture
by the appropriate effective discount
factor that incorporates any quality
incentive payment, as briefly described
in section III.C.4.b.(9) of this final rule
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and more specifically detailed in the
response to comments in section III.C.5.
of this final rule and Tables 19, 20, and
21. The results of these calculations will
be participant hospitals’ target prices for
MS DRG 469 anchored episodes with
hip fracture, MS DRG 469 anchored
episodes without hip fracture, MS DRG
470 anchored episodes with hip
fracture, and MS DRG 470 anchored
episodes without hip fracture.
The previously stated 10 steps will be
used to calculate target prices for
episodes that begin between January 1
and September 30 (between April 1 and
September 30 for performance year 1),
as well as for episodes that begin
between October 1 and December 31, for
each performance year. The target price
calculations for the two different time
periods each performance year will
differ by the update factors used in the
seventh step. By following these ten
steps, we will calculate target prices for
each participant hospital for each
performance year. We refer readers to
section III.C.4.b. of this final rule for
further details on each of the specific
steps.
Final Decision: After consideration of
the public comments we received, we
are modifying our proposal to
incorporate changes described in
sections III.C.3, III.C.4.b, and III.C.5 of
this final rule when fitting together and
sequencing episode target price features
used to calculate CJR episode target
prices for participant hospitals.
These final policies are set forth at
§ 510.300 and § 510.305.
5. Use of Quality Performance in the
Payment Methodology
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a. Background
Over the past several years Medicare
payment policy has moved away from
FFS payments unlinked to quality and
towards payments that are linked to
quality of care. Through the Affordable
Care Act, we have implemented specific
IPPS programs like the HVBP program
(subsection (o) of section 1886 of the
Act), the Hospital Acquired Condition
Reduction Program (HACRP)
(subsection (q) of section 1886) and the
HRRP (subsection (p) of section 1886),
where quality of care is linked with
payment. We have also implemented
the Shared Savings Program, an ACO
program that links shared savings
payment to quality performance. Since
the implementation of the HRRP in
October 2012, readmission rates for
various medical conditions like THA
and TKA (THA/TKA) have improved.
Trend analyses show a decrease in
readmission rates and specifically with
THA/TKA risk-standardized
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readmissions rates (RSRR) from 5.4
percent (July 2010–June 2011) to 4.8
percent (July 2012–June 2013).41
Additionally, hospital THA/TKA RSCR
decreased from 3.4 percent (April 2010
through March 2011) to 3.1 percent
(April 2012 through March 2013).
Despite the downward trend of THA/
TKA RSRRs and RSCRs, the wide
dispersion in these readmission rates
suggests there is still room for hospitals
to improve their performance on these
measures as illustrated by a THA/TKA
RSRR distribution of 2.8 to 9.4 percent
(July 2010–June 2013) and a THA/TKA
RSCR distribution of 1.5 to 6.4 percent
(April 2010–March 2013). In the
proposed rule, we stated our belief that
the CJR model would provide another
mechanism for hospitals to improve
quality of care, while also achieving cost
efficiency. Incentivizing high-value care
through episode-based payments for
LEJR procedures is a primary objective
of CJR. Therefore, incorporating quality
performance into the episode payment
structure is an essential component of
the CJR model. We also stated our belief
that the financial opportunity discussed
in section III.C.2. of the proposed rule
would provide the appropriate
incentives necessary to reward a
participant hospital’s achievement of
episode savings when the savings are
greater than the discounted target price.
For the reasons stated previously, we
discussed our belief that it would be
important for the CJR model to link the
financial reward opportunity with
achievement in quality of care for
Medicare beneficiaries undergoing LEJR.
As discussed in section III.C. of this
final rule, which outlines the payment
structure proposed for the CJR model,
each participant hospital would have
target prices calculated for MS–DRG 469
and 470 anchored episodes; each
anchored episode would include an
anchor hospitalization for an LEJR
procedure and a 90–day period after the
date of discharge from the anchor
hospitalization. These episode target
prices represent expected spending for
all related Part A and Part B spending
for such episodes, with a discount
applied. Hospitals who achieve actual
episode spending below a target price
for a given performance period would
be eligible for a reconciliation payment
from CMS, subject to the proposed stopgain limit policy as discussed in section
III.C.8. of this final rule.
41 Hospital Quality Initiatives. CMS Hospital
Quality Chartbook 2014. Available at: https://
www.cms.gov/Medicare/Quality-Initiatives-PatientAssessment-Instruments/HospitalQualityInits/
Downloads/Medicare-Hospital-Quality-Chartbook2014.pdf. Accessed April 21, 2015.
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In the proposed rule, we proposed
quality performance standards that must
also be met in order for a hospital to be
eligible to receive a reconciliation
payment under CJR. Specifically, we
described our proposal to include a
performance measure result threshold
on select outcomes-based quality
measures as a requirement for
participants to receive a reconciliation
payment if actual episode spending is
less than the target price under CJR in
a performance year, in addition to a
payment adjustment for successful
reporting of a voluntary measure in
development. Beginning in performance
year one and continuing throughout the
duration of the model, we proposed to
make reconciliation payments only to
those CJR hospital participants that met
or exceeded a minimum measure result
threshold. We also discussed an
alternative approach to determining CJR
reconciliation payment eligibility and
adjusting payment based on a quality
score developed from performance on
three outcomes-based quality measures
and success in reporting the voluntary
measurement in development.
b. Implementation of Quality Measures
in the Payment Methodology
In section III.D. of the proposed rule,
we proposed three measures to assess
quality of care of the hospitals
participating in the CJR model. We also
proposed voluntary data submission for
a patient-reported outcome measure in
development. In section III.C.5. of the
proposed rule, we proposed using three
measures to determine eligibility for a
reconciliation payment, as well as
proposed rewarding hospitals that
voluntarily submit data for the patientreported outcome measure. We also
discussed an alternative approach to
determining reconciliation payment
eligibility and adjusting payment based
on a composite quality score calculated
from the three required outcome
measures and success on reporting
voluntary data on the patient-reported
outcome measure.
(1) General Selection of Quality
Measures
The CJR model is designed to provide
financial incentives to improve
coordination of care for beneficiaries
that we expect to lead to avoidance of
post-surgical complications and hospital
readmissions, as well as to improve
patient experience through care
redesign and coordination. Furthermore,
we acknowledge that achievement of
savings while ensuring high-quality care
for Medicare FFS beneficiaries in LEJR
episodes would require close
collaboration among hospitals,
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physicians, PAC providers, and other
providers and suppliers. In order to
encourage care collaboration among
multiple providers of patients
undergoing THA and TKA, we proposed
three measures, as described in detail in
section III.D.2. of this final rule, to
determine hospital quality of care and to
determine eligibility for a reconciliation
payment under the CJR model. The
measures we proposed are as follows:
• Hospital-level 30-day, all-cause
RSRR following elective primary THA
and/or TKA (National Quality Forum
(NQF)#1551), an administrative claimsbased measure.
• Hospital-level RSCR following
elective primary THA and/or TKA (NQF
#1550), an administrative claims-based
measure.
• HCAHPS Survey measure (NQF
#0166).
Beginning in performance year 1 and
continuing throughout the duration of
the model, we proposed to make
reconciliation payments only to those
CJR participant hospitals that met or
exceeded a minimum performance
threshold on the measures previously
listed. We proposed that hospitals must
meet or exceed the measure reporting
thresholds and other requirements
described in section III.C.5 and III.D. of
this final rule on all three measures in
order to be eligible for a reconciliation
payment.
These three outcome measures were
chosen due to their: (1) Alignment with
the goals of the CJR model; (2) hospitals’
familiarity with the measures due to
their use in other CMS hospital quality
programs, including programs that tie
payment to performance such as HVBP
and HRRP; and (3) assessment of CMS
priorities to improve the rate of LEJR
complications and readmissions, while
improving patient experience. In the
proposed rule, we stated our belief that
the three quality measures we proposed
for reconciliation payment eligibility
reflected these goals and accurately
measured hospitals’ level of
achievement on such goals.
(2) Adjustment to the Payment
Methodology for Voluntary Submission
of Data for Patient-Reported Outcome
(PRO) Measure
During our consideration of quality
metrics for the CJR model, we examined
the feasibility of linking voluntary data
submission of patient-reported
outcomes, beyond the current three
required measures discussed in section
III.D.2. of this final rule for use in the
model, with the possibility of
incentivizing participant hospitals
under the episode payment model to
participate in this voluntary submission
of data. We specifically examined
potential patient-reported outcome
measures since this type of outcome
measure aligns with the CJR model goal
of improving LEJR episode quality of
care, including a heightened emphasis
on patient-centered care where patients
provide meaningful input to their care.
Furthermore, the availability of patient
reported outcome data would provide
additional information on a participant
hospital’s quality performance,
especially with respect to a patient’s
functional status, beyond the current
three required measures discussed in
section III.D.2. of this final rule for use
in the model. We noted that we have a
measure in development, the HospitalLevel Performance Measure(s) of
Patient-Reported Outcomes Following
Elective Primary THA or TKA measure
or both (hence forth referred to as
‘‘THA/TKA patient-reported outcomebased measure’’), that would support
the National Quality Strategy domain of
patient and family engagement, and
could capture meaningful information
that would not otherwise be available
on patient outcomes that are related to
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the quality of LEJR episodes under CJR.
In the proposed rule, we stated our
belief that incorporating this measure
into CJR by adjusting the payment
methodology for successful voluntary
data submission on the THA/TKA
patient-reported outcome-based
measure (henceforth referred to as
‘‘THA/TKA voluntary data’’) would
provide participant hospitals with
valuable information on functional
outcomes that would assist them in
assessing an important patient-centered
outcome, engaging other providers and
suppliers in care redesign for LEJR
episodes, as well as provide them with
the potential for greater financial benefit
from improved LEJR episode
efficiencies. We did not believe it would
be appropriate at this time to hold any
participant hospitals financially
accountable for their actual THA/TKA
voluntary data, as we proposed to
require for the three measures described
in section III.C.5.b.(5) of this final rule.
Instead, we proposed to adjust the
episode payment methodology for
participant hospitals that successfully
submit THA/TKA voluntary data by
reducing the discount percentage used
to set the target price from 2.0 percent
to 1.7 percent of expected episode
spending based on historical CJR
episode data, hereinafter referred to as
the voluntary reporting payment
adjustment. The proposed payment
policies with respect to reconciliation
payment eligibility and the discount
percentage based on hospital voluntary
data submission are summarized in
Table 10 for performance years 3
through 5 where we proposed that
hospitals have full repayment
responsibility. The proposed specific
percentages that would apply for
purposes of the repayment amount and
reconciliation payment are outlined for
performance years 1 and 2 in the
discussion that follows.
TABLE 10—PROPOSED RECONCILIATION PAYMENT ELIGIBILITY AND DISCOUNT PERCENTAGE INCLUDED IN THE TARGET
PRICE FOR EACH PARTICIPANT HOSPITAL BASED ON QUALITY PERFORMANCE IN PERFORMANCE YEARS 3 THROUGH 5
Meets thresholds for all 3 required
quality measures
Does not meet thresholds for one
or more of 3 required quality
measures
Successfully submits THA/TKA voluntary data .......................................
Does not successfully submit THA/TKA voluntary data .........................
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Discount percentage included in target price/reconciliation
payment eligibility
1.7%/eligible ..................................
2.0%/eligible ..................................
1.7%/ineligible.
2.0%/ineligible.
We refer readers to section III.D.3.a. of
this final rule for further discussion of
the THA/TKA patient-reported
outcome-based measure and our
proposed definition of successful
reporting. In addition, we refer readers
to section III.C.4.b.(9) of this final rule
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for discussion of the proposed discount
of 2.0 percent (without the voluntary
reporting payment adjustment) to
establish the target price. In the
proposed rule, we stated our belief that
a voluntary reporting payment
adjustment of 0.3 percent of expected
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episode spending would, on average,
cover the participant hospitals’
additional administrative costs of
voluntarily reporting patient risk
variables and patient-reported reported
function for outcome calculation. We
estimated the value of this discount
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reduction, on average, to be about $75
per LEJR episode at a participant
hospital, which we believed would be
sufficient to pay hospitals for the
resources required to survey
beneficiaries pre- and post-operatively
about functional status and report this
information required for measure
development to CMS. We also believed
that voluntary reporting on this patientreported outcome measure would be
integral to implementation of the CJR
model, as it would allow us to further
develop and evaluate the measure for
potential use in this model in the future
as a measure of quality that is important
and not captured in any other available
measures.
We proposed that the voluntary
reporting payment adjustment would be
available for all years of the model,
unless we find the measure to be
unfeasible or have adequately
developed the measure such that
continued voluntary data collection is
no longer needed for measure
development during the course of the
model. In those situations, we would
notify participant hospitals that the
voluntary reporting payment adjustment
was no longer available as we would
cease collecting the data.
We proposed that when we provide
the episode target price to each
participant hospital at 2 times during
the performance year, we would provide
different target prices reflecting the 2.0
percent and 1.7 percent discounts. At
the time of reconciliation for the
performance year, we would determine
which participant hospitals successfully
reported the THA/TKA voluntary data
for that performance year. The effects of
this voluntary reporting payment
adjustment would vary for each year of
the model, depending on the proposed
reconciliation payment and repayment
policies for that performance year. For
hospitals that achieved successful
reporting of the THA/TKA voluntary
data in performance year 3, 4, or 5, we
would use the target price reflecting the
1.7 percent discount (compared with the
2.0 percent discount for nonreporting or
unsuccessfully reporting hospitals) to
calculate the hospital’s reconciliation
payment or repayment amount. Based
on this comparison, consistent with the
proposal described in section III.C.6. of
this final rule, we would make a
reconciliation payment if actual episode
spending was less than the target price
(and the thresholds for reconciliation
payment eligibility are met for the three
required quality measures) or make
participant hospitals responsible for
repaying Medicare if actual episode
spending exceeded the target price. For
performance year 2, when we proposed
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that repayment responsibility would be
phased-in, for participant hospitals with
successful THA/TKA voluntary data
reporting, we would use a target price
reflecting the 1.7 percent discount
(compared with the 2.0 percent discount
for nonreporting or unsuccessfully
reporting hospitals) to determine if
actual episode spending was below the
target price, whereupon the participant
hospital would receive a reconciliation
payment if the quality thresholds on the
three required measures were met. In
order to help hospitals transition to
taking on repayment responsibility, we
proposed to apply a reduced discount of
0.7 percent for successful THA/TKA
voluntary data reporting hospitals
(compared with 1.0 percent for
nonreporting or unsuccessfully
reporting hospitals) in performance year
2 for purposes of determining the
hospital’s repayment responsibility for
excess episode spending. For
performance year 1, when we proposed
that there would be no repayment
responsibility, for participant hospitals
with successful THA/TKA voluntary
data reporting, we would use a target
price reflecting the 1.7 percent discount
(compared with the 2.0 percent discount
for nonreporting or unsuccessfully
reporting hospitals) to determine if
actual episode spending was below the
target price, whereupon the participant
hospital would receive a reconciliation
payment if the quality thresholds on the
three required measures were met. In
the proposed rule, we stated our belief
that this proposed voluntary reporting
payment adjustment would provide the
potential for increased financial benefit
for participant hospitals due to a higher
target price (that reflects a lower
discount percentage) that successfully
report the measure. Participant hospitals
that successfully reported the voluntary
data would be subject to a lower
repayment amount (except for
performance year 1 when hospitals have
no repayment responsibility) or a higher
reconciliation payment (assuming the
thresholds are met on the three required
measures for reconciliation payment
eligibility), than hospitals that did not
successfully report the voluntary data.
In general, we proposed that
participant hospitals that met the
performance thresholds for the three
required quality measures and reduced
actual episode spending below the
target price, as well as successfully
reported the THA/TKA voluntary data,
would be eligible to retain an additional
0.3 percent of the reduced episode
expenditures relative to participant
hospitals that successfully reported the
three required quality measures but did
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not report voluntary data, funds which
would offset additional administrative
costs that the participant hospitals
would incur in reporting on the
measure. Additionally, for performance
years 2–5 where we proposed that
participant hospitals would have
payment responsibility, participant
hospitals with increased actual episode
spending above the target price would
not be required to repay 0.3 percent of
the increased episode expenditures
(relative to participant hospitals that do
not report voluntary data), funds that
would offset additional administrative
costs that the participant hospitals
would incur in reporting on the
measure. These costs would include the
hospital staff time required for training
on the measure, as well as then
gathering and reporting on multiple
patient risk variables from LEJR episode
beneficiaries’ medical records and
locating beneficiaries and administering
via phone survey questions on
functional status, which would also
then be reported to CMS. Thus, we
expected that the proposal would
encourage reporting by a number of
participant hospitals, and it would have
the potential to benefit those hospitals
that successfully reported on the
measure. Therefore, this proposal could
financially benefit reporting hospitals
that would also collect valuable
information on patient functional
outcomes that could inform their LEJR
care redesign. While this measure
remains in development from our
perspective to ensure translation of data
across care settings and the respective
hospital communities during the 90-day
post-discharge episode of care,
participant hospitals would gain
anecdotal, locally relevant information
regarding the patient-reported outcomes
of their own patients that could inform
participant hospitals’ continuous
quality improvement efforts.
We considered two alternative
options to adjust the CJR payment
methodology by modifying the required
quality measure thresholds for
reconciliation payment eligibility for
those participant hospitals that
successfully submit the THA/TKA
voluntary data. First, we considered
adjusting the threshold that hospitals
must meet on the three required quality
measures for reconciliation payment
eligibility if reduced episode spending
was achieved from the unadjusted 30th
percentile threshold to the adjusted 20th
percentile threshold for performance
years 1, 2, and 3, and from the
unadjusted 40th percentile to the
adjusted 30th percentile for
performance years 4 and 5. Second, we
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considered only requiring hospitals to
meet the 30th percentile threshold on
two of three outcome measures for
performance years 1, 2, and 3, and the
40th percentile threshold on two of
three outcome measures for
performance years 4 and 5. These
options would provide the opportunity
for some participant hospitals,
specifically those that missed the
unadjusted percentile for one or more of
the three required quality measures by
a specified margin, to receive
reconciliation payments if actual
episode spending was less than the
target price. However, these options
could benefit only a subset of
participant hospitals that successfully
reported the THA/TKA voluntary data.
For the majority of participant hospitals
that we expect would meet the
unadjusted thresholds for all three
required measures, these options would
not provide any incentive to voluntarily
report the data because the hospitals
would not benefit from voluntarily
reporting the additional measure. We
decided not to propose either of these
options to adjust the CJR payment
methodology for participant hospitals
that voluntarily report data on the new
measure because the limited benefit
could result in few hospitals choosing to
report on the measure, thereby limiting
our progress in developing the measure.
We noted that these two considered
options and our proposal were not
mutually exclusive.
We sought comment on the proposed
voluntary reporting payment adjustment
of reducing the discount percentage
from 2.0 percent to 1.7 percent for CJR
participant hospitals that voluntarily
and successfully report on the THA/
TKA voluntary data. Given our interest
in robust hospital participation in
reporting on the THA/TKA voluntary
data under CJR, we were specifically
interested in information on the
additional resources and their
associated costs that hospitals would
incur to report THA/TKA voluntary
data, as well as the relationship of these
costs to the potential financial benefit
participant hospitals could receive from
the proposed reduced discount of 1.7
percent. Based on such information, we
would consider whether a change from
the proposed discount factor reduction
due to successful voluntary data
submission would be appropriate. We
also sought comment on whether the
alternative payment methodology
adjustments considered, or combination
of adjustments, would more
appropriately incentivize CJR
participant hospitals to submit THA/
TKA voluntary data. In the proposed
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rule, we stated our belief that
development of the THA/TKA patientreported outcome measure would
benefit from reporting by a broad array
of participant hospitals, including those
that currently deliver high quality,
efficient LEJR episode care and those
that have substantial room for
improvement on quality and or costefficiency.
We summarize the public comments
we received on the proposed voluntary
reporting payment adjustment and
provide our responses in section
III.C.5.b.(5)(c)(iii) of this final rule. We
did not receive public comments on the
alternative payment methodology
adjustments that we discussed in the
proposed rule. Furthermore, in light of
our interest in encouraging CJR
participant hospital THA/TKA
voluntary data reporting, we also
considered alternative approaches to
collect this information or provide
hospitals with funds to help cover their
associated administrative costs other
than adjustments to the CJR model
payment methodology. One alternative
would be for hospitals to collect and
report on patient pre-operative
information collected 0 to 90 days
before surgery, while CMS would
engage a contractor to collect and report
the post-operative information collected
9 to 12 months after surgery. This
approach would reduce some of the
administrative burden of collection and
reporting on hospitals, although
participant hospitals would need to
provide CMS with certain beneficiary
information, including contact
information that would be needed for a
CMS contractor to contact the
beneficiary at a later date. We sought
comment on this alternative, including
whether hospitals would incur
significant additional administrative
costs to report on the data prior to
surgery and how CMS could best
provide funds to offset some of those
costs, through an adjustment to the CJR
payment methodology or other means.
We also sought comment on the
information participant hospitals would
need to provide to CMS so that a CMS
contractor could collect and report the
post-operative data, and the most
efficient ways for hospitals to provide
this information to us. Finally, we
considered an approach that would
provide hospitals with separate
payment outside of an adjustment to the
CJR payment methodology to
specifically assist in covering their
administrative costs of reporting THA/
TKA voluntary data, in order to achieve
robust hospital participation in
reporting. We sought comment on the
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73361
hospital administrative costs that would
be incurred for reporting, as well as on
approaches we could take to ensure that
hospitals achieved successful reporting
under such an approach if separate
payment was made. Finally, we
expressed our interest in comments
regarding the comparative strength of
these various alternatives in
encouraging hospitals to participate in
reporting THA/TKA voluntary data.
We did not receive any public
comments on the alternatives we
discussed other than adjustments to the
payment methodology to collect THA/
TKA voluntary data and provide
hospitals with funds to cover the
required resources. We summarize these
comments we received in section
III.C.5.b.(5)(c)(iii) of this final rule and
provide our responses.
(3) Measure Risk-Adjustment and
Calculations
All three proposed outcome measures
are risk-adjusted, and we refer readers to
section III.D.2. of this final rule for a full
discussion of these measures and riskadjustment methodologies. We believed
that risk-adjustment for patient case-mix
is important when assessing hospital
performance based on patient outcomes
and experience and understanding how
a given hospital’s performance
compares to the performance of other
hospitals with similar case-mix.
(4) Applicable Time Period
We proposed to use a 3-year rolling
performance or applicable period for the
Hospital-level 30-day, all-cause RSRR
following elective primary THA and/or
TKA (NQF #1551) and the Hospitallevel RSCR following elective primary
THA and/or TKA (NQF #1550)
measures. We also specifically proposed
to align with the HIQR Program’s 3-year
rolling performance period for the RSRR
and RSCR measures since we believed
that a 3-year performance period yields
the most consistently reliable and valid
measure results (FY 2015 IPPS/LTCH
final rule, 79 FR 50208 through 50209).
For the HCAHPS Survey measure, we
proposed to follow the same
performance period as in the HIQR
Program (FY 2015 IPPS/LTCH final rule,
79 FR 50259). HCAHPS scores are
created from 4 consecutive quarters of
survey data; publicly reported HCAHPS
results are also based on 4 quarters of
data. For the voluntary data collection
for the proposed THA/TKA patientreported outcome-based performance
measure, the optimal reporting time
period had not been determined at the
time of issuance of the CJR model
proposed rule. Therefore, we proposed
defining the applicable time period as
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12 month intervals that may begin
between July 1, 2016 and December 31,
2016, and continue in subsequent
performance years for a total of four or
fewer performance periods. Participant
hospitals will submit required data to
CMS in a mechanism similar to the data
submission process for the HIQR
Program within sixty days of the end of
each 12 month period. As described in
section III.C.5.b.(2) of the proposed rule,
the proposed voluntary reporting
payment adjustment of reducing the
discount percentage from 2.0 percent to
1.7 percent for CJR participant hospitals
that successfully report on the THA/
TKA voluntary data would begin in year
2 and also apply to subsequent years of
the model. We are not finalizing the
proposed voluntary reporting payment
adjustment, as discussed further in
section III.C.5.b.(5)(c)(iii) of this final
rule. We note that we summarize the
public comments we received on the
proposed applicable time period and
provide our responses in section
III.D.3.d. of this final rule, and we
summarize the public comments we
received on the reporting time period
for the THA/TKA patient-reported
outcome and limited risk variable data
and provide our responses in section
III.D.3.a.(9) of this final rule.
(5) Criteria for Applicable Hospitals and
Performance Scoring
(a) Identification of Participant
Hospitals for the CJR Model
As discussed in section III.A.2. of this
final rule, all CJR participant hospitals
will be IPPS hospitals.
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(b) Methodology To Determine
Performance on the Quality Measures
To determine performance on the
quality measures, we proposed to
calculate measure results for all three
measures as outlined in the Quality
Measures section III.D.2. of this final
rule. Performance on the three measures
for the CJR model participant hospitals
would be compared to the national
distribution of measure results for each
of these measures obtained through the
HIQR Program. The HIQR Program is an
IPPS program in which public reporting
is a focus of the program for the nation’s
acute care hospitals, and we proposed
using the absolute value of the CJR
model participant hospital’s result to
determine if that participant hospital
was eligible for a reconciliation
payment. In essence, we intended to
take the HIQR Program measure results
(also posted publicly) for the proposed
measures, identify the proposed
threshold, and apply the thresholds as
outlined in section III.C.5.b.(5)(c)(iii) of
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this final rule. In the proposed rule, we
stated our belief that it would be
reasonable to use the HIQR Program
distribution of measure results to
identify a measure result threshold
because—(1) The hospitals in the HIQR
Program represent most acute care
hospitals in the nation; (2) the CJR
model participant hospitals are a subset
of the hospitals in the HIQR Program;
and (3) the expectation that the CJR
model participant hospitals meet a
measure result threshold based on a
national distribution of measure results
would encourage the CJR model
participant hospitals to strive to attain
measure results consistent with or better
than hospitals across the nation. For a
detailed description of how we
proposed to determine the measure
result thresholds for consideration of a
reconciliation payment adjustment, see
section III.C.5.b.(3) and III.C.5.b.(5)(c) of
this final rule. We would not want to
encourage CJR model participant
hospitals to strive for measure results or
quality of care performance that may be
lower than the national measure results.
Given that the CJR participant hospitals
are a subset of the HIQR Program
participant hospitals, they are familiar
with these three measures and may have
put into place processes that will help
to improve quality of care in the LEJR
patient population. Finally, once the
measure results were calculated, we
proposed to use these results to
determine eligibility for reconciliation
payment, which is discussed in detail in
the next section.
We summarize the public comments
we received on the proposed calculation
of the measure results and application
of performance thresholds and provide
our responses in sections III.D.2 and
III.C.5.b.(5)(c)(iii) of this final rule,
respectively.
To be considered to have successfully
reported the voluntary data collection
and submission for the THA/TKA
voluntary data, we proposed that
successfully reporting would mean
participant hospitals must meet all of
the following:
• Submit the data elements listed in
section III.D.3.a.(2) of this final rule.
• Data elements listed in section
III.D.3.a.(3) of this final rule must be
submitted on at least 80 percent of their
eligible elective primary THA/TKA
patients (patients eligible for preoperative THA/TKA voluntary data
submission are those described in
section III.D.3.a.(3) of this final rule);
patients eligible for post-operative THA/
TKA voluntary data submission are
those described in section III.D.3.a.(3) of
this final rule and also having a THA/
TKA procedure date during the anchor
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hospitalization at least 366 days prior to
the end of the data collection period.
Therefore, participant hospitals would
not be expected to collect and submit
post-operative THA/TKA voluntary data
on patients who are fewer than 366 days
from the date of surgery.
• THA/TKA voluntary data
submission must occur within 60 days
of the end of the most recent
performance period.
Hospitals that meet these three
standards and successfully submit THA/
TKA voluntary data would be eligible
for the proposed voluntary reporting
payment adjustment of reducing the
discount percentage from 2.0 percent to
1.7 percent for CJR participant hospitals
that voluntarily and successfully report
on the THA/TKA voluntary data. We
note that we are not finalizing this
voluntary reporting payment adjustment
proposal as discussed in section
III.C.5.b.(5)(c)(iii) of this final rule.
However, we continue to believe that
encouraging collection and submission
of the THA/TKA voluntary data through
the CJR model would increase
availability of patient-reported
outcomes to both participant hospitals
that collect and submit data on their
own patients in the model (and their
patients as well); further development of
an outcomes measure that provides
meaningful information on patientreported outcomes for THA/TKA
procedures that are commonly
furnished to Medicare beneficiaries;
provide another quality measure that
may be incorporated into the CJR model
policy linking quality to payment in
future performance years, pending
successful development of the measure;
and inform the quality strategy of future
payment models. Collecting data on at
least 80 percent of hospital’s eligible
THA/TKA patients would provide
sufficiently representative data to allow
for development and testing of the THA/
TKA patient-reported outcome-based
performance measure.
We invited public comment on the
proposal to calculate measure results for
all three measures as outlined in the
Quality Measures section III.D.2. of this
final rule. We also sought public
comment on our proposal for hospitals
to meet three requirements, previously
outlined, in order to be considered as
successfully submitting THA/TKA
voluntary data.
We summarize the public comments
on the proposals to calculate measure
results and determine measure result
thresholds and provide our responses in
sections III.D.2. and III.C.5.b.(5)(c)(iii) of
this final rule, respectively. We
summarize the public comments on the
proposals for successful THA/TKA
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voluntary data submission and provide
our responses in section III.D.3.a. of this
final rule.
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(c) Methodology To Link Quality and
Payment
(i) Background
In proposing a methodology for
linking payment for LEJR episodes to
quality under this model, we considered
several alternatives. Specifically, we
considered making reconciliation
payments to hospitals tied to
achievement and improvement in
quality performance or, alternatively,
establishing minimum quality
performance thresholds for selected
quality measures from the beginning of
the model or a later year, which would
reward achievement but not necessarily
improvement. While we proposed as
discussed section III.C.5.b.(5)(c) of this
final rule to establish minimum
thresholds for participant hospital
performance on three selected quality
measures for reconciliation payment
eligibility each performance year from
the beginning of the model, we also
discussed in detail an alternative we
considered, which would make quality
incentive payments related to hospital
achievement and improvement on the
basis of a composite quality score
developed for each performance year.
The composite quality score would
affect reconciliation payment eligibility
and change the effective discount
included in the target price experienced
by a participant hospital at
reconciliation.
Similar to the proposal described in
section III.C.5.b.(5)(c) of this final rule,
the alternatives considered would
require a determination of participant
hospital performance on all three
proposed required quality measures,
described in section III.D.2. of this final
rule, based on the national distribution
of hospital measure result performance,
but instead of identifying the participant
hospital’s performance percentile for
comparison with a threshold
requirement, we would do so for
purposes of assigning points toward a
hospital composite quality score. Both
the hospital-level 30-day, all cause RiskStandardized Readmission Rate (RSRR)
following elective primary THA and/or
TKA (NQF #1551) measure and the
hospital-level Risk-Standardized
Complication Rate (RSCR) following
elective primary THA and/or TKA (NQF
#1550) measure directly yield rates for
which a participant hospital
performance percentile could be
determined and compared to the
national distribution in a
straightforward manner. As discussed in
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section III.D.2.c. of this final rule, we
proposed to use the HCAHPS Linear
Mean Roll Up (HLMR) score calculated
using the HCAHPS Survey measure
(NQF #0166). Once the HLMR scores are
calculated, the participant hospital
performance percentile could also be
determined and compared to the
national distribution in a
straightforward manner. In addition, the
alternatives considered would account
for the successful submission of
voluntary THA/TKA data on the
patient-reported outcome measure, as
discussed in section III.C.5.b.(2) of this
final rule, in the calculation of the
composite quality score.
(ii) Alternatives Considered To Link
Quality and Payment
We considered assigning each
participant hospital a composite quality
score, developed as the sum of the
individual quality measure scores
described later in this section, which
were set to reflect the intended weights
for each of the quality measures and the
successful submission of THA/TKA
voluntary data in the composite quality
score. The participant hospital’s
composite quality score would affect
reconciliation payment eligibility and
could also provide the opportunity for
quality incentive payments under the
CJR model. Each quality measure would
be assigned a weight in the composite
quality score and possible scores for the
measures would be set to reflect those
weights. A composite quality score for
each performance year would be
calculated for each participant hospital
based on its own performance that
would affect reconciliation payment
eligibility and the hospital’s opportunity
to receive quality incentive payments
under the model. The composite quality
score would also change the effective
discount included in the target price
experienced by the hospital at
reconciliation for that performance year.
We would weigh participant hospital
performance on each of the three
measures and successful submission of
voluntary THA/TKA data according to
the measure weights displayed in Table
11.
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TABLE 11—QUALITY MEASURE
WEIGHTS UNDER THE COMPOSITE
QUALITY SCORE ALTERNATIVE CONSIDERED IN THE PROPOSED RULE
Quality measure
Hospital-level 30-day,
all-cause RSRR following
elective primary THA and/
or TKA (NQF #1551) ........
Hospital-level RSCR following elective primary
THA and/or TKA (NQF
#1550) ...............................
HCAHPS Survey (NQF
#0166) ...............................
Voluntary THA/TKA data
submission on patient-reported outcome
measure ............................
Weight in
composite
quality score
(%)
20
40
30
10
We would assign the lowest weight of
10 percent to the successful submission
of THA/TKA data on the patientreported outcome measure because
these data represent a hospital’s
meaningful participation in advancing
the quality measurement of LEJR
patient-reported outcomes but not
actual outcome performance for LEJR
episodes under the CJR model. In the
proposed rule, we stated our belief the
three required measures that represent
LEJR outcomes deserve higher weights
in the composite quality score. We
would assign a modest weight of 20
percent to the readmissions measure
because, while we believed that
readmissions are an important quality
measure for LEJR episodes, the episode
payment methodology under the model
already provides a strong financial
incentive to reduce readmissions that
otherwise would contribute
significantly to greater actual episode
payments. Furthermore, hospitals
generally have already made significant
strides over the past several years in
reducing readmissions due to the
inclusion of this measure in other CMS
hospital programs that make payment
adjustments based on performance on
this measure. We believed that a higher
weight than 20 percent would overvalue
the contribution of readmissions
performance as an indicator of LEJR
episode quality in calculating the
composite quality score. Furthermore,
other CMS hospital programs may also
make a payment adjustment based on
hospital performance on the
readmissions measure, so we would not
want this measure to also strongly
influence reconciliation payment
eligibility and the opportunity for
quality incentive payments under the
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CJR model. We would assign a higher
weight of 30 percent to the HCAHPS
Survey measure because we believed
that incorporating this quality measure,
which reflects performance regarding
patients’ perspectives on care, including
communication, care transitions, and
discharge information, is a highly
meaningful outcome measure of LEJR
episode quality under the CJR model.
However, we did not believe it would be
appropriate assign the HCAHPS Survey
measure the highest weight of the four
measures, as the measure is not specific
to LEJR episode care, but rather to all
clinical conditions treated by
participant hospitals. Finally, we would
assign the highest weight, 40 percent, to
the complications measure. We believed
this measure should be weighted the
most because it is specific to meaningful
outcomes for primary THA and TKA
that are the major procedures included
in LEJR episodes under the CJR model.
The measure includes important
complications of LEJR episodes, such as
myocardial infarction, pneumonia,
surgical site bleeding, pulmonary
embolism, death, mechanical joint
complications, and joint infections
occurring within various periods of time
during the LEJR episode. LEJR episodes
under the CJR model are broadly
defined so that reducing complications
should be a major focus of care redesign
that improves quality and efficiency
under this model, yet because
complications may not be as costly as
readmissions, the payment incentives
under the model would not as strongly
target reducing complications as
reducing readmissions. We sought
comment on this weighting of the
individual quality scores in developing
a composite quality score for each
participant hospital.
Under such an approach, we would
first score individually each participant
hospital on the Hospital-level 30-day,
all-cause RSRR using the elective
primary THA and/or TKA (NQF #1551)
measure; Hospital-level RSCR following
using the elective primary THA and/or
TKA measure (NQF #1550); and
HCAHPS Survey measure (NQF #0166)
based on the participant hospital’s
performance percentile as compared to
the national distribution of hospitals’
measure performance, assigning scores
according to the point values displayed
in Table 12. These individual measure
scores were set to reflect the measure
weights included in Table 11 so they
could ultimately be summed without
adjustment in calculating the composite
quality score.
TABLE 12—INDIVIDUAL SCORING UNDER THE COMPOSITE QUALITY SCORE ALTERNATIVE CONSIDERED FOR THREE
REQUIRED QUALITY MEASURES IN THE PROPOSED RULE
Complications measure
quality score
(points)
Performance percentile
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≥90th ............................................................................................
≥80th and <90th ...........................................................................
≥70th and <80th ...........................................................................
≥60th and <70th ...........................................................................
≥50th and <60th ...........................................................................
≥40th and <50th ...........................................................................
≥30th and <40th ...........................................................................
<30th ............................................................................................
Given the current national
distribution of hospital performance on
these measures, in the proposed rule we
stated our belief that small point
increments related to higher measure
performance deciles would be the most
appropriate way to assign more points
to reflect meaningfully higher quality
performance on the measures. The
absolute differences for each decile
among the three measures reflect the
intended weight of the measure in the
composite quality score. We would
assign any low volume participant
hospital without a reportable value for
the measure to the 50th performance
percentile of the measure, so as not to
disadvantage a participant hospital
based on its low volume alone because
that hospital may in actuality provide
high quality care. These three measures
are well-established measures in use
under CMS hospital programs, so we
did not believe that scores below the
30th percentile reflect quality
performance such that they should be
assigned any individual quality measure
score points for LEJR episodes under
CJR. However, we also considered
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8.00
7.40
6.80
6.20
5.60
5.00
4.40
0.00
reducing scores incrementally across the
bottom three deciles in order to provide
greater incentives for quality
improvement for hospitals that may not
believe they can attain the 30th
performance percentile on one or more
of the three measures and to avoid
creating a ‘‘cliff’’ at the 30th
performance percentile. We sought
comment on this scoring approach to
the three required quality measures.
Additionally, we would assign a
measure quality score of one point for
participant hospitals that successfully
submit THA/TKA voluntary data and 0
points for participant hospitals that do
not successfully submit these data.
Because we would not use the actual
THA/TKA voluntary data on the
patient-reported outcome measure in
assessing LEJR episode quality
performance under the model, we
believed this straightforward binary
approach to scoring the submission of
THA/TKA voluntary data for the
patient-reported outcome measure
development would be appropriate.
We note that the Shared Savings
Program utilizes a similar scoring and
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HCAHPS survey
quality score
(points)
Fmt 4701
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6.00
5.55
5.10
4.65
4.20
3.75
3.30
0.00
Readmissions measure
quality score
(points)
4.00
3.70
3.40
3.10
2.80
2.50
2.20
0.00
weighting methodology, which is
described in detail in the CY2011
Shared Savings Program Final Rule (see
§ 425.502). The HVBP and HACRP
programs also utilize a similar scoring
methodology, which applies weights to
various measures and assigns an overall
score to a hospital (79 FR 50049 and
50102).
We would sum the score on the three
quality measures and the score on
successful submission of THA/TKA
voluntary data to calculate a composite
quality score for each participant
hospital. Then we would incorporate
this score in the model payment
methodology by first, requiring a
minimum composite quality score for
reconciliation payment eligibility if the
participant hospital’s actual episode
spending is less than the target price
and second, by making quality incentive
payments that change the effective
discount percentage included in the
target price experienced by the hospital
in the reconciliation process. The
payment policies we would apply are
displayed in Tables 13, 14, and 15 for
the performance years of the model.
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Under the CJR model as proposed, there
would be no participant hospital
repayment responsibility in
performance year 1 and this
responsibility would begin to be
phased-in in performance year 2, with
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full implementation in performance
year 3.
TABLE 13—PERFORMANCE YEAR 1: RELATIONSHIP OF COMPOSITE QUALITY SCORE TO RECONCILIATION PAYMENT ELIGIBILITY AND THE EFFECTIVE DISCOUNT PERCENTAGE EXPERIENCED AT RECONCILIATION UNDER THE COMPOSITE
QUALITY SCORE ALTERNATIVE CONSIDERED IN THE PROPOSED RULE
Effective discount
percentage for
reconciliation
payment
(%)
Composite quality score
Eligible for reconciliation
payment
Eligible for quality incentive
payment
≤5.00 .........................................
>5.00 and ≤9.25 ........................
>9.25 and ≤15.20 ......................
>15.20 .......................................
No .............................................
Yes ............................................
Yes ............................................
Yes ............................................
No .............................................
No .............................................
Yes ............................................
Yes ............................................
3.0
3.0
2.0
1.5
Effective discount
percentage for
repayment
amount
Not
Not
Not
Not
applicable.
applicable.
applicable.
applicable.
TABLE 14—PERFORMANCE YEAR 2: RELATIONSHIP OF COMPOSITE QUALITY SCORE TO RECONCILIATION PAYMENT ELIGIBILITY AND THE EFFECTIVE DISCOUNT PERCENTAGE EXPERIENCED AT RECONCILIATION UNDER THE COMPOSITE
QUALITY SCORE ALTERNATIVE CONSIDERED IN THE PROPOSED RULE
Effective discount
percentage for
reconciliation
payment
(%)
Composite quality score
Eligible for reconciliation
payment
Eligible for quality incentive
payment
≤5.00 ..........................................
>5.00 and ≤ 9.25 .......................
>9.25 and ≤ 15.20 .....................
>15.20 .......................................
No .............................................
Yes ............................................
Yes ............................................
Yes ............................................
No .............................................
No .............................................
Yes ............................................
Yes ............................................
3.0
3.0
2.0
1.5
Effective discount
percentage for
repayment
amount
(%)
2.0
2.0
1.0
0.5
TABLE 15—PERFORMANCE YEARS 3–5: RELATIONSHIP OF COMPOSITE QUALITY SCORE TO RECONCILIATION PAYMENT
ELIGIBILITY AND THE EFFECTIVE DISCOUNT PERCENTAGE EXPERIENCED AT RECONCILIATION UNDER THE COMPOSITE
QUALITY SCORE ALTERNATIVE CONSIDERED IN THE PROPOSED RULE
Effective discount
percentage for
reconciliation
payment
(%)
Eligible for quality incentive
payment
≤5.00 ..........................................
>5.00 and ≤ 9.25 .......................
>9.25 and ≤ 15.20 .....................
>15.20 .......................................
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Composite quality score
Eligible for reconciliation
payment
No .............................................
Yes ............................................
Yes ............................................
Yes ............................................
No .............................................
No .............................................
Yes ............................................
Yes ............................................
Under this approach, the CJR model
discount included in the target price
without consideration of the composite
quality score would be 3.0 percent, not
the 2.0 percent described under our
payment proposal in section III.C.4.b.(9)
of this final rule. In the proposed rule,
we stated our belief that a discount
percentage of 3.0 percent without
explicit consideration of episode quality
is reasonable as it is within the range of
discount percentages included in the
ACE demonstration and it is the Model
2 BPCI discount factor for 30 and 60 day
episodes, where a number of BPCI
participants are testing LEJR episodes
subject to the 3.0 percent discount
factor. Hospitals that provide high
quality episode care would have the
opportunity to receive quality incentive
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payments that would reduce the
effective discount percentage as
displayed in Tables 13, 14, and 15.
Depending on the participant hospital’s
actual composite quality score, quality
incentive payments could be valued at
1.0 percent to 1.5 percent of the
hospital’s benchmark episode price (that
is, of the expected episode spending
prior to application of the discount
factor to calculate a target price).
Under this methodology, we would
require hospitals to achieve a minimum
composite quality score of greater than
5.00 to be eligible for a reconciliation
payment if actual episode spending was
less than the target price. Participant
hospitals with below acceptable quality
performance reflected in a composite
quality score less than or equal to 5.00
would not be eligible for a
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3.0
3.0
2.0
1.5
Effective discount
percentage for
repayment
amount
(%)
3.0
3.0
2.0
1.5
reconciliation payment if actual episode
spending was less than the target price.
A level of quality performance that is
below acceptable would not affect
participant hospitals’ repayment
responsibility if actual episode spending
exceeds the target price. We believed
that excessive reductions in utilization
that lead to low actual episode spending
and that could result from the financial
incentives of an episode payment model
would be limited by a requirement that
this minimum level of LEJR episode
quality be achieved for reconciliation
payments to be made. This policy
would encourage hospitals to focus on
appropriate reductions or changes in
utilization to achieve high quality care
in a more efficient manner. Therefore,
these hospitals would be ineligible to
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receive a reconciliation payment if
actual episode spending was less than
the target price.
For hospitals with composite quality
scores of less than or equal to 5.00, we
also considered a potential alternative
approach. Under this approach, we
would still permit this group of
hospitals to receive reconciliation
payments but would impose a quality
penalty that would increase their
effective discount percentage to 4.0
percent for purposes of calculating the
reconciliation payment or recoupment
amount in performance years 3 through
5, 4.0 percent for calculating the
reconciliation payment and 3.0 percent
for calculating the repayment amount in
performance year 2, and 4.0 percent for
calculating the reconciliation payment
in performance year 1 where participant
hospitals have no repayment
responsibility. A potential advantage of
this approach is that it would provide
stronger incentives for quality
improvement for participant hospitals
with low performance on quality, even
if they did not expect to be able to
reduce actual episode spending below
the target price. In addition, this
approach would provide financial
incentives to improve the efficiency of
care even for hospitals that did not
expect to meet the minimum quality
score for reconciliation payment
eligibility, while still providing strong
incentives to provide high-quality care.
The disadvantage of this approach is
that it could provide reconciliation
payments even to hospitals that did not
achieve acceptable quality performance.
Participant hospitals with an
acceptable composite quality score of
>5.00 and ≤9.25 would be eligible for a
reconciliation payment if actual episode
spending was less than the target price
because their quality performance was
at the acceptable level established for
the CJR model. They would not be
eligible for a quality incentive payment
at reconciliation because their episode
quality performance, while acceptable,
was not good or excellent. Therefore,
these hospitals would be eligible to
receive a reconciliation payment if
actual episode spending was less than
the target price.
Participant hospitals with a good
composite quality score of >9.25 and
≤15.20 would be eligible for a quality
incentive payment at reconciliation if
actual episode spending was less than
the target price because their quality
performance exceeded the acceptable
level required for reconciliation
payment eligibility under the CJR
model. In addition, they would be
eligible for a quality incentive payment
at reconciliation for good quality
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performance that equals 1.0 percent of
the participant hospital’s benchmark
price, thereby changing the effective
discount percentage included in the
target price experienced by the hospital
at reconciliation. Thus, participant
hospitals achieving this level of quality
for LEJR episodes under CJR would
either have less repayment
responsibility (that is, the quality
incentive payment would offset a
portion of their repayment
responsibility) or receive a higher
payment (that is, the quality incentive
payment would add to the
reconciliation payment) at
reconciliation than they would have
otherwise based on a comparison of
actual episode spending to the target
price that reflects a 3.0 percent
discount. Therefore, these hospitals
would be eligible to receive a
reconciliation payment if actual episode
spending was less than the target price
and would also receive a quality
incentive payment.
Finally, hospitals with an excellent
composite score quality score of >15.20
would be eligible to receive a
reconciliation payment if actual episode
spending was less than the target price
because their quality performance
exceeded the acceptable level required
for reconciliation payment eligibility
under the CJR model. In addition, they
would be eligible for a higher quality
incentive payment at reconciliation for
excellent quality performance that
equals 1.5 percent of the participant
hospital’s benchmark price, thereby
changing the effective discount
percentage included in the target price
experienced by the hospital at
reconciliation. Thus, participant
hospitals achieving this level of quality
for LEJR episodes under CJR would
either have less repayment
responsibility (that is, the quality
incentive payment would offset a
portion of their repayment
responsibility) or receive a higher
payment (that is, the quality incentive
payment would add to the
reconciliation payment) at
reconciliation than they would have
otherwise based on a comparison of
actual episode spending to the target
price that reflects a 3.0 percent
discount. Therefore, these hospitals
would be eligible to receive a
reconciliation payment if actual episode
spending was less than the target price
and would also receive a quality
incentive payment.
Under this methodology, the
proposed stop-loss and stop-gain limits
discussed in section III.C.8. of this final
rule would not change. We believed this
approach to quality incentive payments
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based on the composite quality score
could have the effect of increasing the
alignment of the financial and quality
performance incentives under the CJR
model to the potential benefit of
participant hospitals and their
collaborators as well as CMS, although
it would substantially increase the
complexity of the methodology to link
quality and payment. We sought
comment on this alternative approach to
basing reconciliation payment eligibility
and quality incentive payments on the
participant hospital’s composite quality
score under the CJR model, as well as
the composite quality scoring ranges
applicable to the respective payment
policies.
While we described in detail this
alternative considered to link quality to
payment under CJR, we did not propose
this methodology for several reasons.
First, the Shared Savings Program and
HVBP program utilize many more
measures than we proposed for the CJR
model. For example, the Shared Savings
Program initially incorporated thirtythree measures across four quality
domains (79 FR 67916 and 67917). The
range of measures in the Shared Savings
Program and the HVBP program lends
itself to a scoring approach, which can
account for many measures and allows
providers to achieve a high score
despite performing well on some
measures but achieving lower
performance on others. There is a
detailed description of the Shared
Savings Program scoring methodology
on the CMS Web site at: https://
www.cms.gov/Medicare/Medicare-Feefor-Service-Payment/
sharedsavingsprogram/Quality_
Measures_Standards.html. We believed
that given the more limited set of
measures chosen for the CJR model, a
scoring approach such as the alternative
described in this section could diminish
the importance of each measure. Use of
a scoring approach would not allow
hospital performance on two different
outcomes to be easily reviewed and
understood with respect to the impact of
individual measure performance on
Medicare’s actual payment for the
episode under the model. Second, we
believed the measures proposed for this
model represent goals of clinical care
that should be achievable by all
hospitals participating in the model that
heighten their focus on these measures,
especially the readmissions and
complications measures, for LEJR
episodes based on the financial
incentives in the model. Finally, we
believed that a methodology that
assesses performance based on absolute
values of a specific set of measures that
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are already in use, as we proposed for
the CJR model, would be the most
appropriate methodology to provide
achievable and predictable quality
targets for participant hospitals on
measures that monitor the most
meaningful quality of care outcomes in
a model where some acute care
hospitals that might not choose to
participate in a voluntary model are also
included. Our proposed method as
discussed in the next section reflected
our expectation that hospitals achieve a
certain level of performance on
measures to ensure that hospitals
provide high-quality care under the
model.
Finally, we also considered an
approach whereby participant hospitals
would not be penalized with regard to
their eligibility for reconciliation
payments in CJR for failure to meet the
specified thresholds for the quality
measures in performance year 1 of the
model; in other words, we would delay
the proposal described in the next
section to performance year 2 rather
than beginning in performance year 1.
We considered calculating participant
hospital performance on the required
measures for the model, and, if actual
episode spending was less than the
target price, the participant hospital
would receive a full reconciliation
payment of savings achieved beyond the
target price, regardless of performance
on the quality measures. However, we
did not believe this would be
appropriate for the CJR model, given
that two of the measures are
administrative claims-based and thus
impose no additional reporting burden
on hospitals; rather, these two measures
are established measures in existing
CMS quality programs, and a central
goal of the model is improving care for
Medicare beneficiaries in LEJR episodes.
We noted that the HCAHPS Survey
measure (NQF #0166) is also an
established measure in the HIQR
Program and would not impose
additional reporting burden on
hospitals.
We summarize the public comments
we received on these alternatives
considered to link quality and payment
and provide our responses in section
III.C.5.b.(5)(c)(iii) of this final rule. We
note that we will be adopting the
composite score methodology for the
CJR model, as discussed in our
responses to comments in section
III.C.5.b.(5)(c)(iii) of this final rule.
(iii) Threshold Methodology and Final
Policy To Link Quality and Payment
For the reasons outlined in the
previous section, we did not propose to
use similar methodologies to other CMS
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programs that would tie CJR episode
reconciliation payment eligibility and
reconciliation payment and Medicare
repayment amounts to a composite
quality score on specified quality
measures, but as discussed later in this
section, we instead proposed to simply
assess performance or achievement on a
quality measure by setting a measure
result threshold for each measure
beginning in performance year 1 of the
model.
We proposed that the CJR measure
result threshold would be based on the
measure results from the HIQR Program,
a nationally-established program, and
would use its national distribution of
measure results. These are the same
measure results posted on Hospital
Compare or in the Hospital Compare
downloadable database (https://
data.medicare.gov/data/hospitalcompare) for the HIQR Program. We
refer readers to the earlier discussion of
the HIQR Program, which utilizes
measures to assess most acute care
hospitals in the nation. Determining the
CJR model target thresholds are
discussed in the next section.
As previously described, we proposed
for the CJR model the following three
required measures to assess LEJR
episode quality of care:
• Hospital-level 30-day, all-cause
RSRR following elective primary THA
and/or TKA (NQF #1551).
• Hospital-level RSCR following
elective primary THA and/or TKA (NQF
#1550).
• HCAHPS Survey (NQF #0166).
We also proposed to make a voluntary
reporting payment adjustment for CJR
participant hospitals who successfully
and voluntarily submit data for the
THA/TKA patient-reported outcomebased performance measure (henceforth
referred to as ‘‘THA/TKA voluntary
data’’) as described in sections
III.C.5.b.(2) and III.D.3.a. of this final
rule. We proposed that participant CJR
hospitals must meet or surpass a
specified threshold for each required
measure beginning for performance year
1 of the model in order to be eligible for
a reconciliation payment if actual
episode payments are less than the
target price. The calculation of the
HCAHPS Survey measure is described
in section III.D.2.c. of this final rule. We
proposed to use the individual measure
results calculated as specified in section
III.D. of this final rule for the three
required measures to determine hospital
eligibility for reconciliation payment for
each performance year of the CJR model.
Also, as discussed in section III.C.4. of
this final rule, which outlines the
proposed pricing structure for the CJR
model, target prices for MS–DRG 470-
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anchored episodes and for MS–DRG
469-anchored episodes would be
calculated for hospitals participating in
the model for an episode of care
extending 90 days after discharge from
the anchor hospitalization. Participant
hospitals that achieve actual episode
payment below the specified target price
for a given performance period would
be eligible for a reconciliation payment,
provided that the participant hospital
also met episode quality thresholds on
the three required measures for the
performance period.
We proposed to use the following
quality criterion to determine if a
participant hospital qualifies for a
reconciliation payment based on the
episode quality thresholds on the three
required measures:
The hospital’s measure result is at or
above the 30th percentile of the national
hospital measure results calculated for
all HIQR-Program participant hospitals
for each of the three required measures
for each performance period (for a
detailed description of how we
determined the performance period and
reconciliation payment eligibility, see
section III.C.5. of this final rule).
Using HIQR Program’s 3 year rolling
period as outlined in section III.D.2.d.
(Applicable Time Period) of this final
rule, if a participant hospital performed
at or above the 30th percentile of all
HIQR Program hospitals for each of the
three required measures and if actual
episode payment was less than the
target price for the specified
performance year, we would make a
reconciliation payment to the hospital.
Failure to achieve the threshold on one
or more measures would result in the
participant hospital not receiving a
reconciliation payment regardless of
whether the actual episode payment
was less than the target price for that
performance period. We proposed that
for hospitals with insufficient volume to
determine performance on an individual
measure, these hospitals would be
considered to be performing at the
threshold level and their results would
be publicly posted with all other
participant hospitals’ measure results
(for a detailed summary of public
reporting, see section III.D.5. of this
final rule). We did not believe it would
be appropriate to potentially penalize
high quality, efficient hospitals due to
their low volume, given that meeting the
required quality measure thresholds
would be required for reconciliation
payment eligibility.
We also proposed for performance
years 4 and 5 to increase the measure
result threshold to the 40th percentile.
We believed that increasing the measure
result threshold to the 40th percentile
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would encourage participants to strive
for continued quality improvement
throughout the 5 performance years of
the model. We sought comment on our
proposal to make a reconciliation
payment to a participant hospital that
achieves actual episode spending below
the target price for a performance year
and performs at or above the 30th
percentile of HIQR program participant
hospitals for all three required quality
measures in performance years 1
through 3 or the 40th percentile in
performance years 4 and 5, as well as
our proposal to consider low volume
hospitals to be performing at the
threshold level.
We proposed to require hospitals to
meet the threshold for all three
measures for the following reasons. The
measures proposed for this model are
fully developed, NQF-endorsed, and
implemented measures in CMS IPPS
programs. These measures are also
publicly reported on the Hospital
Compare Web site. Hospitals are
familiar with the complications and
readmissions quality measures and with
the HCAHPS Survey, as they are
currently included in the HIQR
Program, HVBP program, and HRRP (79
FR 50031, 50062, 50208, 50209 and
50259), and we believed that there
would be minimal additional
administrative burden for hospitals. All
three measures are widely utilized
nationally; thus, a nationally-based
threshold would be an appropriate
benchmark. In addition, the goal of the
CJR model is LEJR episode care redesign
that includes effective care coordination
and management of care transitions.
Strategies to prevent and efficiently
manage post-procedure complications
and hospital readmissions following an
LEJR procedure are consistent with the
goals of the model; a hospital cannot
succeed in this model without engaging
in care redesign efforts that would
address aspects of care included in
these measures. Failure to perform
successfully on these key quality
measures (defined by meeting the
minimum thresholds) would indicate
that hospitals are not achieving quality
consistent with the goals of the model
to specifically incentivize greater
improvement on these measures than
hospitals not participating in the CJR
model, and should not be eligible to
receive a reconciliation payment from
Medicare even if reduced episode
spending is achieved. Finally, the
approach we proposed is consistent
with CMS’ goal of moving hospitals and
other providers to value-based payment
that ties payment to quality. In the 5
performance years of this model,
performance on quality measures would
only be applied to determining
eligibility for a reconciliation payment;
quality measures would not be used to
determine participant hospitals’
financial responsibility, except for the
proposed voluntary reporting payment
adjustment described in described in
section III.C.5.b.(3) of this final rule. In
essence, participant hospitals’
responsibility to repay Medicare the
difference between their target price and
their actual episode payment, should
actual episode payments exceed the
target price, would not be impacted by
performance on quality measures.
Finally, we proposed to increase the
measure result thresholds for the final 2
performance years of the model, to
ensure that CJR participant hospitals
continue to maintain a high level of
quality performance or improve
performance on these measures as they
gain experience with implementation of
this payment model. More specifically,
we proposed that in order for a
participant hospital to receive a
reconciliation payment for actual
episode spending that is less than the
target price for performance years 4 and
5, the participant hospital’s measure
result must be at or above the 40th
percentile of the national hospital
measure results calculated for all HIQRProgram participant hospitals for each
of the three required measures for each
performance period. As previously
noted, we proposed to use the most
recently available HCAHPS 4-quarter
roll-up to calculate the HLMR. In the
proposed rule, we stated our belief that
holding the participant hospitals to a set
measure result threshold for the first 3
years, and increasing this threshold for
performance years 4 and 5, would
emphasize the need to maintain and
improve quality of care while cost
efficiencies are pursued. We sought
comment on our proposed approach to
incorporating quality performance into
eligibility for reconciliation payments
under the CJR model for participant
hospitals.
Table 16 displays the proposed
thresholds that participant hospitals
must meet on the various measures over
the 5 model performance years.
TABLE 16—PROPOSED THRESHOLDS FOR REQUIRED QUALITY MEASURES TO DETERMINE PARTICIPANT HOSPITAL
RECONCILIATION PAYMENT ELIGIBILITY OVER 5 YEARS
PY1 Threshold
PY2 Threshold
PY3 Threshold
PY4 Threshold
Hospital-level
30-day,
all-cause
RSRR following elective primary
THA and/or TKA (NQF #1551).
Hospital-level RSCR following elective primary THA and/or TKA (NQF
#1550).
HCAHPS Survey (NQF #0166) .........
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Measure
30th percentile ......
30th percentile ......
30th percentile ......
40th percentile ......
40th percentile.
30th percentile ......
30th percentile ......
30th percentile ......
40th percentile ......
40th percentile.
30th percentile ......
30th percentile ......
30th percentile ......
40th percentile ......
40th percentile.
We sought comment on our proposed
methodology to utilize quality measure
performance in the payment
methodology for CJR, as well as the
proposed thresholds for participant
hospital reconciliation payment
eligibility over the performance years of
the model.
As discussed in section III.C.5.b.(2) of
this final rule, we stated our belief that
hospitals that choose to submit THA/
TKA voluntary data should have the
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potential to benefit financially through
an adjustment to the payment
methodology of the model. We proposed
a voluntary reporting payment
adjustment for hospitals that
successfully submit the THA/TKA
voluntary data by reducing the discount
percentage incorporated into the target
price from 2.0 percent to 1.7 percent.
This voluntary reporting payment
adjustment would start in performance
year 1 and would be available through
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PY5 Threshold
performance year 5 of the model for
each year that the hospital successfully
reports THA/TKA voluntary data. As
proposed, reporting THA/TKA
voluntary data would not affect
eligibility for a reconciliation payment if
actual episode payments are less than
the target price. Participant hospitals
would still need to meet the 30th or
40th percentile threshold, as applicable
to the given performance year, on all
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three required quality measures (Table
16).
We considered, but did not propose,
two other alternatives to adjust the
payment methodology for participant
hospitals that successfully report the
THA/TKA voluntary data as described
in section III.C.5.b.(2) of this final rule.
These alternatives would change the
threshold percentile for the three
required quality measures or,
alternatively, reduce the number of
required measures in which the
threshold must be met provided that
successful THA/TKA voluntary data
were reported for a performance year.
First, we considered reducing the
threshold for reconciliation payment
eligibility that participant hospitals
must meet on the three required quality
measures from the 30th percentile
threshold to the 20th percentile
threshold for performance years 1, 2,
and 3, and from the 40th percentile to
the 30th percentile for performance
year. Second, we considered only
requiring hospitals to meet the 30th
percentile threshold on two of three
outcome measures for performance
years 1, 2, and 3, and the 40th percentile
threshold on two of three outcome
measures in performance years 4 and 5.
Under both of these alternatives, the
eligibility for reconciliation payments
could change based on the THA/TKA
voluntary data. We sought comment on
these alternative payment methodology
adjustments that could impact
reconciliation payment eligibility,
unlike the proposed voluntary reporting
payment adjustment. We note that the
other alternative approaches to
encouraging THA/TKA voluntary data
reporting for CJR beneficiaries as
discussed in section III.C.5.b.(2) of this
final rule that would not require
adjustments to the CJR payment
methodology would also not affect
reconciliation payment eligibility.
The following is a summary of the
comments received and our responses
on the proposals and alternatives
discussed in section III.C.5. of the
proposed rule, including the proposed
threshold methodology for
reconciliation payment eligibility, as
well as the alternatives considered that
would change the proposed threshold
requirements for participant hospitals
that successfully report voluntary THA/
TKA data. As cross-referenced several
times earlier in this section, these
comments and our responses also
discuss a number of other proposals,
alternatives considered, and other topics
related to linking quality and payment
under the CJR model for which we
sought public comment.
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Comment: Some commenters
questioned the rationale for linking
quality to episode payment for
participant hospitals under the CJR
model, arguing that the model should
not be focused on individual hospital
performance but on the overall
performance of hospitals within the
model, with respect to both the cost and
quality of LEJR episode performance.
The commenters observed that BPCI, a
bundled payment model that includes
LEJR as the most commonly selected
episode and shares many features with
the proposed CJR model, does not tie
payment to quality, although BPCI has
quality reporting requirements. They
claimed that CMS, hospitals, and other
providers lack experience with pay-forperformance in a bundled payment
context and, therefore, that the level of
performance that should be expected
from providers under bundled payment
is not yet understood. A commenter
urged CMS to focus on the big picture
in the CJR model, specifically changes
in critical aspects of performance versus
the national average for all hospitals
along the continuum, potential changes
in the types or nature of services to
beneficiaries undergoing LEJR
procedures, and aggregate changes in
patient outcomes. Commenters asserted
that tying a hospital’s payment to
performance on quality measures was
not the only or the best way to make
maintaining or improving LEJR episode
quality performance central to the CJR
model. Several commenters stated that
implementing pay-for-performance in
an episode payment model was
premature, and recommended that CMS,
at most, adopt a pay-for-reporting
methodology while quality data are
being collected and analyzed to
determine the appropriate level of
quality performance that should be
specifically rewarded.
Several commenters urged CMS to
delay implementing the proposed
quality performance thresholds for
reconciliation payment eligibility until
performance year 2, or later, where the
performance period for measure data
would correspond more fully or
completely to performance years under
the model. They recommended that the
first year or two of the CJR model
should be pay-for-reporting and,
because the proposed THA/TKA
Complications measure (NQF #1550)
and the THA/TKA Readmissions
measure (NQF #1551) are claims-based
measures and the HCAHPS Survey
measure (NQF #0166) is currently
administered by hospitals, all
participant hospitals would be expected
to meet the CJR model quality
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performance requirements, which
would only require public reporting in
performance year 1 and possibly
performance year 2. Several commenters
in favor of pay-for-reporting in the first
performance year asserted that such an
approach would be consistent with
other CMS value-based initiatives. A
commenter also claimed that a year of
pay-for-reporting would allow
participant hospitals the time to
establish internal systems for analyzing
quarterly claims data and provide them
with maximal opportunity to achieve
savings that could be invested in these
systems.
Response: We note that we currently
have broad experience with pay-forperformance in Medicare programs,
including the HRRP, HVBP Program,
HAC Reduction Program, and the
Shared Savings Program. These pay-forperformance programs have improved
the quality of care for Medicare
beneficiaries. For example, since the
implementation of HRRP in 2012,
readmission and complications rates for
various medical conditions such as
elective THA/TKA have been
significantly reduced, thereby resulting
in improvements in the quality of care
for Medicare beneficiaries undergoing
LEJR procedures. Furthermore, pay-forperformance is a feature of a number of
Innovation Center models currently in
testing. We refer readers to section
III.D.5. of this final rule for further
discussion of public reporting of payfor-performance data during
performance year 1 of the model.
While the current BPCI models do not
specifically link payment to quality, the
Request for Applications describing the
BPCI model design features was
released over 4 years ago, in August
2011. We now have two years of
experience with BPCI Model 2
Awardees, the model that most closely
resembles the CJR model, in the riskbearing period, and the year 1 BPCI
annual evaluation and monitoring
report from February 2015 is publicly
available on the CMS Web site at:
https://innovation.cms.gov/Files/
reports/BPCI-EvalRpt1.pdf. We have
developed and adopted a variety of new
quality measures in programs and
models since 2011, as well as gained
experience with pay-for-reporting and
pay-for-performance in a variety of
models and programs involving a wide
range of health care providers and
clinical conditions. Given our extensive
experience over the past several years
with pay-for-performance approaches,
the availability of existing measures that
reflect the quality of care for elective
THA/TKA episodes, and the breadth of
the CJR model, which reaches
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substantially all IPPS hospitals in the
selected MSAs, including those
hospitals who otherwise would not
participate in a voluntary payment
model, we believe that a pay-for
performance approach is necessary and
appropriate beginning in the model’s
first performance year. IPPS hospitals
have substantial experience over
multiple years with CMS programs that
include pay-for-performance and we
believe, given the proposed quality
measures for the CJR model, that CJR
pay-for-performance in an episode
payment model is a natural extension to
bundled payment of pay-forperformance measures used in current
CMS programs. While we acknowledge
that pay-for-performance is not the only
way for a model to heighten a focus on
maintaining or improving the quality of
LEJR episode care, we believe that the
CJR model, like other Innovation Center
models, should target both improved
quality and reduced costs. Based on our
experience in other programs and
models, we believe that pay-forperformance under the CJR model
shows great promise in moving
participant hospitals toward greater
efficiency and higher quality of LEJR
episodes. In view of successful
implementation of pay-for-performance
in other CMS hospital programs using
similar quality measures that has
resulted in significant improvements in
the quality of care, we believe IPPS
hospitals have sufficient experience to
be ready for pay-for-performance under
the CJR model. We expect that other
features of the model design, including
our plans for data sharing, will help
participant hospitals committed to care
redesign toward these goals achieve
success on both quality and cost
performance for episodes.
We note that the quality measures
finalized for the model as discussed in
section III.D.2. of this final rule rely
upon data that hospitals are already
submitting and which are already
analyzed by CMS for other programs, so
we see no reason to adopt a period of
pay-for-reporting for the first
performance year of the model or
longer. In the proposed rule, we
considered a similar policy that would
not penalize hospitals with regard to
their eligibility for reconciliation
payments for failure to meet the
proposed quality measure thresholds in
performance year 1. However, we
continue to believe that adopting payfor-reporting and not pay-forperformance in performance year 1 or
longer would be inappropriate given
that two of the proposed quality
measures are administrative claims-
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based measures and impose no
additional reporting burden on
hospitals, the proposed measures are all
established measures in existing CMS
quality programs, and a central goal of
the CJR model is improving care for
Medicare beneficiaries in LEJR episodes.
In this regard, the CJR model is different
from some other CMS value-based
initiatives where the data for some
measures were newly submitted by
providers or newly analyzed by CMS
early in the initiative. Furthermore, we
do not believe that participant hospitals
need a year of pay-for-reporting to
develop systems for analyzing episode
claims under the model, as we expect
hospitals to already be focused on
improving their performance on these
measures. The two measures finalized
for the CJR model are aligned with the
goals of the CJR model, are familiar to
hospitals based on their use in other
CMS hospital programs, and are aligned
with CMS priorities to reduce LEJR
complications while improving the
patient experience. Because the
measures reflect these goals and
accurately measure hospitals’ level of
achievement and improvement on
quality outcomes that are important to
beneficiaries undergoing LEJR
procedures, we are finalizing our
proposal to implement a pay-forperformance approach in the CJR model
in the first performance year by using
quality performance in the episode
payment methodology.
Comment: Some commenters
supported the proposed strategy to link
quality to payment through performance
thresholds for quality measures that
would result in reconciliation payment
eligibility if the thresholds were met.
Several commenters further reasoned
that there should be no need to increase
thresholds for reconciliation payment
eligibility over the performance years of
the model as CMS had proposed
because the possibility of reconciliation
payment provides an adequate quality
improvement incentive. A commenter
in favor of the proposed threshold
approach recommended that CMS make
the proposed THA/TKA voluntary
patient-reported outcome (PRO) data
submission mandatory and significantly
increase incentives around their
collection.
A number of commenters estimated
that under CMS’ proposal, more than
half of the participant hospitals would
be ineligible for reconciliation payments
based on their current quality measure
performance, even if episode savings
were achieved during a performance
year. The commenters stated that CMS
should not use performance percentiles
that would always exclude a
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predetermined number of participant
hospitals from reconciliation payments,
and hold hospitals to multiple quality
performance standards for the same
measure performance under different
CMS models and programs. They
contended that performance percentiles,
as measures of relative performance, do
not reflect best practices and, therefore,
recommended that CMS require a level
of absolute measure performance rather
than relative performance when
incorporating quality performance into
the payment methodology under the CJR
model. The commenters did not
describe the absolute levels of
performance that they would
recommend on the quality measures for
the CJR model. Several commenters
claimed that the use of thresholds for
reconciliation eligibility disadvantages
small hospitals because only one or two
patient instances could change the
participant hospital’s performance
percentile and, therefore, affect the
hospital’s eligibility for reconciliation
payments. Other commenters pointed
out that the Shared Savings Program
uses quality thresholds, but the
methodology accounts for improvement
and the program is voluntary, while
hospital participation would be required
in the CJR model and improvement was
not considered in the pay-forperformance methodology CMS
proposed.
Other commenters asserted that CMS’
proposal linking quality measure
performance to eligibility for
reconciliation payments failed to reflect
the quality of care delivered in the
context of the model due to flaws in the
proposed approach to determining
participant hospital performance in
relation to the thresholds. The
commenters contended that the
proposed methodology to determine
performance on quality measures and
link performance to reconciliation
payment eligibility uses arbitrary
distinctions in performance among
hospitals that are not borne out by the
data or even by CMS’s own method of
assigning ratings of performance on the
Hospital Compare Web site. They stated
that use of measure result point
estimates to determine performance
percentiles under CMS’ proposal for
performance thresholds for
reconciliation payment eligibility may
not be appropriate because: (1) The
THA/TKA Complications measure (NQF
#1550) and the THA/TKA Readmissions
measure (NQF #1551) are a ratio
comparing observed to expected
outcome, where expected is based on
the national performance, so an
individual hospital’s performance
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should be assessed within confidence
intervals as the measure was originally
specified, tested, and endorsed by the
NQF; and (2) there may not be a
clinically and statistically significant
difference in the performance of
hospitals immediately above and below
the 30th percentile. The commenters
observed that while the HRRP uses
measure result point estimates (the same
measure results proposed in section
III.C.5.b.(5)(b) of the proposed rule,
which proposed to use the absolute
values of the CJR model participant
hospital measure results) in calculating
the excess readmission ratio in
accordance with the statutory provision
that defines this ratio, they stated that
CMS has the flexibility under the
statutory authority for the CJR model to
use confidence intervals in determining
outcome measure results for use in the
payment methodology.
A number of commenters
recommended that CMS adopt a
threshold methodology that would
utilize the confidence intervals used on
the Hospital Compare Web site that
distinguishes performance based on the
three categories of comparison to the
national rate on the THA/TKA
Complications measure (NQF #1550)
and the THA/TKA Readmissions
measure (NQF #1551) to determine if a
participant hospital is eligible for
reconciliation payment. On Hospital
Compare, hospitals are grouped into
‘‘no different than national rate,’’ ‘‘better
than national rate,’’ or ‘‘worse than
national rate’’ for each measure. The
commenters recommending this
methodology recommended against use
of the HCAHPS Survey measure (NQF
#0166).
Therefore, the commenters
maintained that CMS should modify its
proposal and set the quality
performance thresholds for
reconciliation payment eligibility at
‘‘worse than national rate,’’ rather than
at the 30th percentile or above
compared to the national rate.
Specifically, the commenters suggested
if performance on both the THA/TKA
Complications measure (NQF #1550)
and the THA/TKA Readmissions
measure (NQF #1551) is statistically
‘‘worse than national rate,’’ then a
participant hospital should not be
eligible for reconciliation payment.
Those hospitals that are deemed ‘‘no
different than national rate’’ or ‘‘better
than national rate’’ on both measures
should automatically be deemed eligible
for any potential reconciliation
payment. Some commenters further
urged CMS to also allow participant
hospitals performing ‘‘worse than
national rate’’ on one or both quality
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measures to receive reconciliation
payments if CJR model episode savings
were achieved as long as the hospital
submits a corrective action plan to CMS
describing their future strategies to
improve quality of care, including
contributing a portion of the
reconciliation payment to quality
performance improvement strategies.
These commenters asserted that the
quality performance thresholds should
provide equal financial opportunity and
incentives to all hospital participants.
The commenters claimed that setting
quality performance thresholds at the
level of ‘‘worse than national rate’’ as
displayed on the Hospital Compare Web
site would reduce confusion among the
public with an interest in hospital
performance under the CJR model, and
strike an appropriate balance between
encouraging hospital to focus on quality
performance and providing hospitals
with a fair opportunity to receive
reconciliation payments if episode
savings are achieved. A commenter
reported that nationally there are 22
hospitals with performance on the THA/
TKA Complications measure (NQF
#1550) or the THA/TKA Readmissions
measure (NQF #1551) that is ‘‘worse
than national rate,’’ and only one
hospital that is ‘‘worse than national
rate’’ on both measures.
Response: We appreciate the support
of some commenters for our proposal to
set performance thresholds for
reconciliation payment eligibility at the
30th percentile based on the national
distribution of measure results, as well
as the concerns expressed by some
commenters about using relative
performance to assess participant
hospital episode quality performance in
the CJR model. We continue to believe
that relative measure performance is the
most appropriate way to incorporate
quality performance into the CJR model
because we do not have sufficient
information about hospital performance
to set and use an absolute performance
result on each measure. We believe that
hospitals nationally are working to
improve their performance on the
quality measures proposed for the CJR
model on an ongoing basis and, thus,
while we expect that CJR participant
hospitals will have a heightened focus
on improvement on these measures as a
result of the financial incentives
resulting from episode payment, we are
not yet certain in this model test what
performance outcomes can be achieved
under best practices. Therefore, we will
not set absolute performance results as
quality thresholds for reconciliation
payment eligibility under the CJR
model. We continue to believe that
relative measures of quality
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performance are most appropriate for
the CJR model as hospitals continue to
make progress nationally on improving
patient outcomes.
Furthermore, we will not make THA/
TKA voluntary PRO and limited risk
variable data submission mandatory and
increase the incentives around their
collection in the CJR pay-forperformance methodology as
recommended by a commenter. This
measure remains under development,
and we want to encourage robust
hospital reporting to speed measure
development, but the measure is not yet
ready to have its results incorporated in
the CJR model methodology in the
manner recommended by the
commenter. We refer readers to section
III.D.3.a. of this final rule for further
discussion of our future plans to
incorporate PRO measure results in the
CJR pay-for-performance methodology.
We appreciate the suggestions of
many commenters that we utilize
outcome measure thresholds of ‘‘worse
than national rate’’ as displayed on the
Hospital Compare Web site to set the
thresholds for reconciliation payment
eligibility. For purposes of the Hospital
Compare Web site, we made a specific
choice around categorizing hospitals to
performance categories for public
display of hospital measure results in
order to display a high level of
statistical certainty about differences in
hospital quality performance that would
be reviewed by beneficiaries and other
members of the public. Specifically for
the Hospital Compare Web site, to
assign hospitals to performance
categories, the hospital’s interval
measure estimate is compared to the
national rate. If the 95 percent interval
estimate includes the national observed
rate for that measure, the hospital’s
performance is in the ‘‘no different than
national rate’’ category. If the entire 95
percent interval estimate is below the
national observed rate for that measure,
then the hospital is performing ‘‘better
than national rate.’’ Finally, if the entire
95 percent interval estimate for the
hospital is above the national observed
rate for that measure, the hospital’s
performance is ‘‘worse than national
rate.’’
Regarding the commenter who
suggested that an individual hospital’s
performance on a measure should be
assessed within confidence intervals as
the measure was originally specified,
tested, and endorsed by the NQF, we
note that the THA/TKA Complications
measure (NQF #1550) was not endorsed
by the National Quality Forum for its
use with an interval estimate, since NQF
endorses measure specifications and not
the use of measures in various programs
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or models. We acknowledge that CMS
uses outcome measure ratios and rates
in different ways that may lead to some
confusion for stakeholders. We also
want to clarify that during measure
development of the THA/TKA
Complications measure (NQF #1550)
and the THA/TKA Readmissions
measure (NQF #1551), these measures
were developed and tested to yield riskstandardized ratios, which are
multiplied by the national rate and
reported as risk-standardized rates in
Hospital Compare, and that the 95
percent interval estimate is specifically
used to display the measure for public
reporting on the Hospital Compare Web
site. We chose to use rates on the
Hospital Compare Web site because we
believe that presentation of a rate on the
Hospital Compare Web site is better
understood by consumers than a
measure result expressed as a predictedto-expected ratio. For purposes of the
CJR model, we will also use riskstandardized rates for the THA/TKA
Complications measure (NQF #1550) as
discussed in section III.D.2.a. of this
final rule. We discuss our final decision
not to adopt the THA/TKA
Readmissions measure (NQF #1551) for
this model in section III.D.2.b. of this
final rule.
We note that ‘‘worse than national
rate’’ is the quality performance
threshold for reconciliation payment
eligibility recommended by many
commenters as the statistically certain
measure of poor hospital quality
performance, yet almost every hospital
in the country already exceeds this level
on the THA/TKA Complications
measure (NQF #1550) and the THA/
TKA Readmissions measure (NQF
#1551). Nationally, we estimate that
only 29 hospitals currently perform at
‘‘worse than national rate’’ on one or
more of these measures, a number that
is similar to the estimate provided by a
commenter. Thus, based on current
measure performance only a very small
number of hospitals would fail to meet
the quality performance thresholds for
reconciliation payment eligibility
recommended by many commenters.
We do not believe that adopting ‘‘worse
than national rate’’ as the threshold for
reconciliation payment eligibility, or
applying no threshold as recommended
by some commenters if a hospital
‘‘worse than national rate’’ submits a
corrective action plan to CMS, would
further encourage quality improvement
or maintenance of high performance for
participant hospitals in the CJR model,
beyond the incentives that already exist
in CMS programs.
Either incorporating a ‘‘worse than
national rate’’ threshold or applying no
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threshold would essentially eliminate
pay-for-performance under the CJR
model, which would not be consistent
with our final decision discussed in the
prior response to public comments to
incorporate a pay-for-performance
methodology in the CJR model
beginning in performance year 1.
Regarding the recommendations to
use interval estimates to identify
hospitals with performance ‘‘worse than
national average’’ as the most equitable
approach to identifying statistically
valid poor hospital performance on
quality measures, we have previously
explained our position on the use of
interval estimates when determining
payment outcomes for hospital
performance on measures. Specifically
for the HRRP where we use point
estimates for quality measure
performance, we acknowledged
outcome measures of risk-standardized
condition-specific readmission rates to
be statistical measures (77 FR 53394).
We also recognized that statistical
measures will include some degree of
variation and stated that other Medicare
programs use similar statistical
measures as part of their programs, so
any consideration of the use of interval
estimates with respect to the HRRP may
have implications for other programs
(77 FR 53394). Despite this reality, we
finalized the HRRP methodology for
quality measure performance (76 FR
51673), which results in the use of a
point estimate for a hospital’s excess
readmission ratio (77 FR 53394), and we
use point estimates in other CMS
programs that rely upon statisticallybased outcome measures, such as the
HVBP Program. (76 FR 26504). We note
that over the past several years the
HRRP has shown that use of point
estimates in the program has still led to
improvement in hospital readmission
rates.42 43 We, therefore, continue to
believe that quality performance can be
assessed by measure result point
estimates that do not rely on the
statistical certainty of interval estimates
which may fail to identify real,
clinically meaningful differences in
hospital measure performance.
42 Gerhardt G, Yemane A, Hickman P,
Oelschlaeger A, Rollins E, Brennan N. Data Shows
Reduction in Medicare Hospital Readmission Rates
During 2012. Medicare & Medicaid Research
Review 2013: 3(2): E1–E12.
43 Medicare Hospital Quality Chartbook 2014:
Performance Report on Outcome Measures.
Prepared by Yale New Haven Health Services
Corporation Center for Outcomes Research and
Evaluation for the Centers for Medicare and
Medicaid Services 2014:23. https://www.cms.gov/
Medicare/Quality-Initiatives-Patient-AssessmentInstruments/HospitalQualityInits/Downloads/
Medicare-Hospital-Quality-Chartbook-2014.pdf.
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However, we agree with the
commenters that our proposal to set
performance thresholds for
reconciliation payment eligibility at the
30th percentile does not reflect the
statistical certainty of intervals around
hospital measures performance results
and may not adequately account for the
variation that occurs in riskstandardized rates like the THA/TKA
Complications measure (NQF #1550)
and the THA/TKA Readmissions
measure (NQF #1551) proposed for use
in the CJR model. We also agree with
the commenters that setting required
measure performance thresholds for
reconciliation eligibility may provide
insufficient quality and cost episode
improvement incentives for some
participant hospitals in the CJR model.
We estimate that based on their current
quality measure performance one-third
of participant hospitals would not be
eligible for reconciliation payments
under our proposed thresholds for the
three required quality measures, even if
those hospitals achieved savings beyond
the target price. While our estimate is
lower than the estimate of more than 50
percent of participant hospitals that was
provided by some commenters, we agree
with the commenters that the proposed
methodology would not provide
significant quality and cost episode
improvement incentives for a
substantial percentage of participant
hospitals in the CJR model.
We continue to believe there are real,
clinically meaningful differences that
are important to Medicare beneficiaries
in hospital performance on the THA/
TKA Complications measure (NQF
#1550) finalized for this model, as well
as opportunities for improvement,
which are not recognized by the
statistical certainty approach that we
use for the Hospital Compare Web site
but can be appropriately recognized by
assigning hospitals to measure
performance percentiles, such as we
proposed for the CJR model. We also
believe it is appropriate to make
different choices for estimating measure
performance for model or program
payment policies, depending on the
context. For example, in the CJR model
where we proposed to use quality
performance in the payment
methodology of a model specifically
focused on quality outcomes directly
addressed by the proposed measures,
we believe a different approach to
estimating performance differences than
the statistical certainty approach used
on the Hospital Compare Web site
would allow us to observe and reward
real quality performance incentivized by
episode payment that otherwise would
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be unrecognized. Therefore, we
continue to believe that assigning
hospital measure results to a
performance percentile in comparison
with the national distribution is an
appropriate strategy to categorize and
recognize hospitals achieving different
levels of quality performance on the
measures. We note that assigning
hospitals to performance percentiles
based on their measure result point
estimates, and then using deciles of
performance in a pay-for-performance
model payment methodology that does
not use hospital performance
percentiles as thresholds, would help
account for some of the statistical
variation that could occur in measure
result point estimates and reduce the
likelihood that we would consider
variation to be a real change in measure
performance. Therefore, we are
finalizing our proposal discussed in
section III.C.5.b.(5)(b) of this final rule
to assign each participant hospital’s
measure point estimate to a performance
percentile based on the national
distribution of measure results.
However, because the statistical
uncertainty in measure results increases
the challenge of determining the most
equitable performance threshold, below
which the level of performance is no
longer in the best interest of the
beneficiary, as well as our interest in
providing quality and cost episode
improvement incentives for all
participant hospitals under the CJR
model, we are not finalizing our
proposal to set performance percentile
thresholds for reconciliation payment
eligibility in the CJR model. Because we
are not using performance percentile
thresholds for reconciliation payment
eligibility in the CJR model’s final payfor-performance methodology, we will
neither be setting nor changing such
thresholds in the context of the model’s
payment methodology over the model’s
performance years. We will be adopting
the composite score methodology, as
discussed in the following response to
comments.
Comment: Many commenters offered
a variety of other perspectives on CMS’
proposal and alternatives considered to
link quality and payment in the CJR
model. Several commenters
recommended that CMS tie a portion of
the reconciliation payment to the
proposed quality measure threshold
performance for each of the 3 measures,
specifically: 1⁄3 of the reconciliation
payment would be made if one of the
quality measure performance thresholds
is achieved, 2⁄3 of the reconciliation
payment would be made if two of the
quality measure performance thresholds
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were achieved, and the full
reconciliation payment would be made
if all three quality measure performance
thresholds were achieved. These
commenters urged CMS to accompany
this policy with no repayment
responsibility in all years for participant
hospitals that achieved all three quality
measure performance thresholds, even if
actual episode spending exceeds the
target price. The commenters reasoned
that this revised approach would
provide the potential for more financial
reward for participant hospitals
providing high quality episode care, and
limit the financial risk for participant
hospitals furnishing high quality care.
Some commenters who opposed the
use of performance percentiles on
quality measures that were included in
CMS’ threshold proposal also opposed
the alternative composite quality score
approach for the same reasons, mainly
because it would rely on performance
percentiles derived from point estimates
of quality measure performance to
award points toward the composite
quality score. However, a number of
commenters favored the use of a
composite quality score to link quality
and payment, rather than thresholds for
reconciliation payment eligibility,
because the composite quality score
would provide an opportunity for more
participant hospitals to receive
reconciliation payments if episode
savings were achieved and would vary
a participant hospital’s financial reward
in direct relationship to its episode
quality performance.
Other commenters suggested further
refinements to the composite score
methodology, including different
weighting of the measures. A
commenter urged CMS to reconsider the
composite score weights discussed in
the proposed rule, and establish them
as: HCAHPS Survey 25 percent;
Complications 50 percent, and
Readmissions 25 percent. The
commenter reasoned that the
Readmissions measure weight should be
reduced due to the measure’s use in
other CMS programs. Finally, the
commenter recommended that CMS
modify the minimum percentile to
receive quality measure score points to
the 10th percentile, and add a band for
incremental performance between the
10th percentile and the current national
average performance, where an
increasing proportion of any
reconciliation payment from episode
savings would be paid. The commenter
urged CMS to pay the full reconciliation
payment for episode savings beyond the
target price to any hospital with quality
performance above the national average.
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73373
Several commenters, who also
recommended additional quality
measures, stated that CMS should place
greater weight in the composite quality
score on ambulation, followed by pain
experience and management, and finally
followed by the Complications,
Readmissions, and HCAHPS Survey
measures in descending order of
importance when calculating the
composite quality score. Another
commenter contended that CMS should
increase the HCAHPS Survey measure
weight and make the submission of
THA/TKA voluntary PRO and limited
risk variable data mandatory for
performance year 2 and subsequent
years, to increase the effect of patient
experience on the financial opportunity
of participant hospitals under the CJR
model. A commenter recommended
that, rather than participant hospital
percentiles of performance compared to
the national distribution of hospital
measure performance, CMS use
hospital-specific metrics that should be
able to ‘‘top out’’ with high quality
performance. The commenter suggested
that CMS could measure performance
annually on each measure for every
participant hospital, and establish a
minimum and maximal optimal
measure result for the measure that
could guide performance scoring.
Finally, a commenter urged CMS to
reconsider awarding the 50th percentile
of performance for individual measure
scores that make up the composite
quality score without actual measure
results, as CMS would not be assured
that those hospitals were providing
good quality care.
A number of commenters
recommended that CMS vary the
discount percentage incorporated in the
target price at reconciliation based on
the participant hospital’s level of quality
performance. Other commenters stated
that high-performing hospitals on
quality should have opportunities for
greater reconciliation payments if that
high-quality performance is sustained,
recommending that CMS include no
discount in the target price or a smaller
discount percentage for these hospitals
than would be used for hospitals with
lower levels of quality performance.
Finally, several commenters contended
that hospitals furnishing care of lower
quality should incur financial penalties
based on their quality performance.
Response: We appreciate the
suggestions of the commenters on
features of the CJR pay-for-performance
methodology that would be valuable in
providing the most robust incentives for
quality improvement or maintenance of
high-quality performance for all CJR
participant hospitals. As described
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previously in this section, we are
finalizing our proposal discussed in
section III.C.5.b.(5)(b) of this final rule
to assign each participant hospital’s
quality measure result point estimate to
a performance percentile based on the
national distribution of measure results,
but we are not finalizing our proposal to
set performance percentile thresholds
for reconciliation payment eligibility
under the CJR model.
We agree with many of the
commenters that the pay-forperformance methodology under the
CJR model should provide the
opportunity for financial reward to
participant hospitals with an acceptable
level of episode quality performance,
while also including an incentive for
quality improvement if the hospital’s
current level of quality is low. We also
agree with the commenters who stated
that the CJR pay-for-performance
methodology should provide the
potential for increased financial reward
for participant hospitals that furnish
higher-quality care through payments
that would either increase the
reconciliation payment to the hospital
or reduce the hospital’s repayment
responsibility depending on the
hospital’s episode cost performance for
the model performance year. However,
we do not agree with the commenters
who recommended that those hospitals
achieving high-quality episode
performance should not be expected to
improve their episode efficiency
because we believe that substantial
opportunities to reduce Medicare
expenditures in the context of highquality episode care exist for virtually
all participant hospitals. Innovation
Center models are generally designed
with a focus on both reducing costs and
improving the quality of care for model
beneficiaries. Therefore, we will
continue to incorporate a discount
percentage into the target price for every
participant hospital as discussed in
section III.C.4.b. of this final rule in the
methodology for setting target prices for
the CJR model.
We also do not agree with the
commenters who recommended that
hospitals with low-quality performance
incur financial penalties under the
model, because the model is specifically
designed to reward episode quality
performance and cost savings. We
discussed an alternative under the
composite quality score approach in
section III.C.5.b.(5)(c)(ii) of the proposed
rule that would impose a quality
penalty on hospitals with a low
composite quality score that would
otherwise lead them to be ineligible for
reconciliation payments (80 FR 41243
through 41244). Under this alternative,
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we would reduce the effective discount
percentage for these hospitals, thus
imposing a 1 percent penalty for their
low quality performance, regardless of
whether or not episode savings are
achieved beyond the target price. We
continue to believe that while this
approach would provide stronger
incentives for quality improvement for
participant hospitals with low
performance on quality, even if they did
not expect to be able to reduce actual
episode spending below the target price,
it could provide reconciliation
payments even to those hospitals that
did not achieve acceptable quality
performance. Therefore, we believe that
the risk to beneficiaries and CMS of
these low-quality performing hospitals
achieving savings in the context of poor
quality care by sharply decreasing
utilization to levels that reflect stinting
on medically necessary care are so
significant that adopting this alternative
would not be appropriate. Instead, we
will provide the opportunity for quality
incentive payments that relate to the
participant hospital’s overall quality
performance and improvement on the
model’s quality measures as reflected in
the hospital’s composite quality score
that we will calculate for each
performance year at the time
reconciliation is carried out for that
performance year.
As previously discussed, we are not
finalizing our proposal to set
performance percentile thresholds for
reconciliation payment eligibility in the
CJR model. Based on public comments
that addressed our reconciliation
payment eligibility threshold proposal,
the alternatives considered, and the
objectives of the pay-for-performance
methodology under the CJR model, we
believe that the composite score
methodology that we discussed in the
proposed rule that would determine
reconciliation payment eligibility and
change the effective discount percentage
experienced by a participant hospital at
reconciliation is the most appropriate
pay-for-performance approach to
achieve the objectives previously
described. While the majority of
commenters favored the threshold
proposal with modification to adopt
much lower quality thresholds of
‘‘worse than national average’’
performance that would result in
eligibility of almost all participant
hospitals for reconciliation payments if
savings were achieved beyond the target
price, a substantial percentage of
commenters supported the composite
score methodology or another approach
that would provide greater financial
reward to participant hospitals for
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higher quality performance. The
composite score methodology omits the
proposed 30th percentile performance
minimum standard for all required
quality measures as a definitive cut-off
point for eligibility for reconciliation
payments and replaces it with a quality
scoring system that provides hospitals
with multiple possible combinations of
quality performance that can result in a
hospital reaching eligibility for the
reconciliation payment, thereby
providing opportunity for reconciliation
payments to hospitals achieving an
acceptable or higher level of overall
quality performance. This methodology
also provides an incentive structure that
acknowledges that high-quality episodes
should be rewarded with greater
financial opportunity under the CJR
model, either through increased
reconciliation payments or reduced
repayment responsibility, depending
upon the participant hospital’s episode
cost performance during a performance
year. We appreciate the support of the
commenters who share our view on the
merits of the composite score approach.
We discussed in the proposed rule,
but did not propose, a composite quality
score methodology because at the time
we believed that such an approach
could diminish the importance of each
quality measure given the limited
number in the model, that the measures
represented clinical goals that should be
achievable by all hospitals participating
in the model, and that a threshold
methodology would provide the most
achievable and predictable quality
targets for the CJR model that requires
participation (80 FR 41244). However,
we agree with the commenters that the
proposed threshold methodology would
not sufficiently incentivize and reward
quality improvement and acceptable or
high quality performance under the CJR
model for a substantial proportion of
participant hospitals even if savings
beyond the target are achieved. In
contrast, the composite quality score
methodology will allow performance on
each required quality measure to be
meaningfully valued in the model’s payfor-performance methodology,
incentivizing and rewarding cost
savings in relation to the quality of
episode care provided by the participant
hospital. Despite the small number of
final CJR model quality measures, the
measures represent both clinical
outcomes and patient experience, and
each carries substantial value in the
composite quality score. Participant
hospitals could achieve an acceptable or
good composite quality score despite
performing well on one of the required
measures but achieving lower
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performance on the other required
measure. Thus, while quality
performance on each measure would
not be required for reconciliation
payment eligibility, performance on
each measure would be valued in the
composite quality score methodology.
Based on our review of the public
comments, including the technical
issues raised about measure result
statistical variation in point estimates,
we believe that a participant hospital’s
overall quality performance under the
CJR model should be considered in the
pay-for-performance approach, rather
than performance on each quality
measure individually determining the
financial opportunity under the model.
The composite score methodology also
provides a framework for incorporating
additional measures of meaningful
outcomes for LEJR episodes, as
discussed in section III.D.3. of this final
rule, in the CJR pay-for-performance
methodology in the future. Finally,
while we believe that high quality
performance on all of the measures
represents goals of clinical care that
should be achievable by all CJR model
participant hospitals that heighten their
focus on these measures, we appreciate
that many hospitals have room for
significant improvement in their current
measure performance. The composite
score methodology, which does not set
performance thresholds for each
measure for reconciliation payment
eligibility, will provide the potential for
financial reward for more participant
hospitals that reach overall acceptable
or better quality performance, thus
incentivizing their continued efforts to
improve the quality and efficiency of
episodes.
In the proposed rule, we presented
weights for the proposed quality
measures in the composite quality score
and note that we need to revise those
weights for the final rule given that we
are not adopting the THA/TKA
Readmissions measure (NQF #1551) for
the CJR model. As some commenters
encouraged us to assign more weight
than we discussed in the proposed rule
to measures of patient experience and
functional status, we believe it would be
most appropriate to redistribute the 20
percent measure weight from the THA/
TKA Readmissions measure (NQF
#1551) equally to the two required
measures we adopted for the model,
specifically assigning an additional 10
percent weight each to the THA/TKA
Complications measure (NQF #1550)
and the HCAHPS Survey measure (NQF
#0166). We note that the overall
distribution of measure weight in the
composite quality score would provide
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50 percent weight to health-related
conditions that arise following LEJR
surgery (through the THA/TKA
Complications measure (NQF #1550))
and 50 percent weight to patient
experience (through the HCAHPS
Survey measure (NQF #0166) and THA/
TKA voluntary PRO and limited risk
variable data submission). We believe
this weighting appropriately balances
patient experience with meaningful
health outcomes for beneficiaries, by
providing equal weight in the composite
quality score to both dimensions,
consistent with the patient-centered
priorities for quality measurement that
some commenters urged us to adopt.
The final measure weights in the
composite quality score for the CJR
model are displayed in Table 17.
TABLE 17—FINAL QUALITY MEASURE
WEIGHTS IN COMPOSITE QUALITY
SCORE
Weight in
composite
quality score
(%)
Quality measure
Hospital-level RSCR following elective primary
THA and/or TKA (NQF
#1550) ...............................
HCAHPS Survey (NQF
#0166) ...............................
THA/TKA voluntary PRO and
limited risk variable data
submission ........................
50
40
10
Consistent with the scoring of
individual measure percentile
performance as assigned to a decile, as
we discussed in the proposed rule, and
our final decision to use performance
percentiles for both required quality
measures, as discussed earlier in this
section, for each model performance
year we will assign individual measure
performance scores to each participant
hospital based on the values in Table
18. These individual measure
performance scores have been set to
reflect the final measures weights in
Table 17 so they can ultimately be
summed without adjustment in
calculating the composite quality score.
The absolute differences for each
performance decile among the two
measures reflect the intended weight of
the measure performance in the
composite quality score.
As we further discussed in the
proposed rule, we will assign
participant hospitals without a measure
value to the 50th performance percentile
(80 FR 41242). A participant hospital
will not have a value for the THA/TKA
Complications measure (NQF #1550) if
the hospital does not meet the minimum
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73375
case count of 25 cases in the 3 year
measurement period which is required
to ensure reliability of the measure
result. In section III.D.4. of this final
rule, we discuss the 25 case minimum
and note that this quality measure case
minimum is the same as the minimum
used in the HIQR Program (75 FR 50185
and 76 FR 51609). We further note that
as described in section III.D.2.a. of this
final rule, the THA/TKA Complications
measure (NQF #1550) only includes
primary elective THA/TKA procedures
which are a subset of the LEJR episodes
included in the CJR model. As a result,
it is possible for a CJR participant
hospital to have LEJR episodes but no
cases that meet the criteria to be
included in the THA/TKA
Complications measure (NQF #1550).
Regarding the HCAHPS Survey measure
(NQF #0166), a participant hospital will
not have a reported value for the
HCAHPS Survey measure (NQF #0166)
if it did not meet the minimum of 100
completed surveys and did not have 4
consecutive quarters of HCAHPS data,
which are required to ensure the
reliably of the measure. In section
III.D.4. of this final rule, we discuss the
100 case minimum and note that this
quality measure case minimum is the
same as the minimum used in the HVBP
Program (76 FR 26502).
Moreover, we note that in rare cases,
if CMS identifies an error in the data
used to calculate the measure resulting
in suppression of the data for public
reporting on Hospital Compare, a
hospital will not have a value for the
THA/TKA Complications measure (NQF
#1550) or HCAHPS Survey measure
(NQF #0166) measure and would be
assigned to the 50th performance
percentile of the measure, as applicable.
Lastly, new hospitals that are
identified as participants in the CJR
model may not have sufficient data
within the measure performance periods
to calculate a value for the THA/TKA
Complications measure (NQF #1550) or
HCAHPS Survey measure (NQF #0166)
and would be assigned to the 50th
performance percentile of the measure,
as applicable.
For hospitals that are in the situations
previously described, we will assign
participant hospitals without a measure
value the 50th performance percentile of
the measure result distribution. We
intend to publicly report the measure
results used to calculate the composite
quality score for all participant
hospitals. While we understand the
concerns of the commenter that we have
no actual outcome measure results for
certain hospitals, we continue to believe
it would be unfair to disadvantage a
participant hospital in the pay-for-
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performance methodology of this model
based on insufficient number or no
applicable cases alone and, therefore,
we will assign these hospitals to the
50th performance percentile, which is
the middle of the national measure
performance distribution, and assign
quality performance points to the
participant hospital accordingly based
on the performance percentile scale
identified in Table 18.
Moreover, as we also discussed in the
proposed rule, we will not assign
individual measure score performance
points to a hospital categorized to a
performance percentile below the 30th
percentile because we do not believe
lower performance percentiles reflect
quality performance such that they
should be assigned any individual
quality measure score performance
points for LEJR episodes under the CJR
model. Although a commenter
suggested providing individual quality
measure score points to hospitals
beginning at the 10th performance
percentile, we continue to disagree that
performance below the 30th
performance percentile reflects
sufficient quality on these two wellestablished measures in CMS hospital
programs to award quality measure
points. We note, however, that a
participant hospital assigned no
performance points for one required
quality measure could still be eligible
for reconciliation payments if episode
savings are achieved beyond the target
price as long that hospital has achieved
a sufficient performance percentile on
the other required quality measure.
Additionally, we will assign a
measure quality score of two points for
participant hospitals that successfully
submit THA/TKA voluntary PRO and
limited risk variable data and 0 points
for participant hospitals that do not
successfully submit these data. The
requirements for successful data
submission in each performance year
are discussed in section III.D.3.a. of this
final rule. While we discussed awarding
1 point for successful submission in the
proposed rule, this was an error because
we also stated that the submission of
THA/TKA voluntary PRO and limited
risk variable data would constitute 10
percent of the composite quality score,
which is based on a maximum score of
20 points. Two points is the correct
value that reflects 10 percent of the
maximum score.
TABLE 18—FINAL INDIVIDUAL SCORING FOR TWO REQUIRED QUALITY MEASURES
THA/TKA Complications
measure (NQF #1550)
quality performance
score (points) (1 additional point available for
improvement)
Performance percentile
HCAHPS Survey
measure (NQF #0166)
quality performance
score (Points) (0.8 additional point available for
improvement)
10.00
9.25
8.50
7.75
7.00
6.25
5.50
0.00
8.00
7.40
6.80
6.20
5.60
5.00
4.40
0.00
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≥90th ........................................................................................................................................
≥80th and <90th ......................................................................................................................
≥70th and <80th ......................................................................................................................
≥60th and <70th ......................................................................................................................
≥50th and <60th ......................................................................................................................
≥40th and <50th ......................................................................................................................
≥30th and <40th ......................................................................................................................
<30th ........................................................................................................................................
We will sum the performance and, if
applicable, improvement scores (as
discussed in the following response to
comments) on the two required quality
measures with the score on the
successful submission of THA/TKA
voluntary PRO and limited risk variable
data to calculate a composite quality
score for each performance year for a
participant hospital. This composite
quality score will then be incorporated
into the pay-for-performance
methodology for the CJR model that
assigns a participant hospital to a
quality category at the time of
reconciliation for a performance year.
We will first require a minimum
composite quality score for
reconciliation payment eligibility if the
participant hospital’s actual episode
spending is less than the target price
and second, make quality incentive
payments that change the effective
discount percentage included in the
target price experienced by the hospital
in the reconciliation process. Thus,
hospitals with higher composite quality
scores may financially benefit from their
episode quality performance compared
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to hospitals with lower quality
performance in a different quality
category, regardless of whether episode
savings are achieved. For example, in
performance year 4, actual episode
spending for a hospital with an
excellent composite quality score would
be reconciled to a target price reflecting
a 3.0 percent discount factor, but then
the participant hospital would receive a
quality incentive payment of 1.5 percent
of the hospital’s pre-discount target
price that would either increase the
hospital’s reconciliation payment if
savings were achieved or reduce the
hospital’s repayment responsibility if
actual episode spending exceeded the
target price. In contrast, actual episode
spending for a hospital with an
acceptable composite quality score
would be reconciled to a target price
reflecting a 3.0 percent discount factor,
but then the participant hospital would
not receive any quality incentive
payment. Thus, the excellent quality
performance by the participant hospital
in the excellent quality category would
provide a financial benefit to that
hospital of 1.5 percent of the pre-
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discount target price, regardless of
whether the hospital achieved savings
for episodes.
As discussed in the proposed rule
regarding the composite quality score
alternative approach to pay-for-for
performance under the CJR model, the
discount for all participant hospitals
included in the target prices will be 3.0
percent. We refer readers to section
III.C.4.b.(9) of this final rule for further
discussion of the discount factor
included in the target prices. Hospitals
that provide high-quality episode care
will have the opportunity to receive
quality incentive payments that will
reduce the effective discount percentage
as displayed in Tables 19, 20, and 21,
based on their composite quality score
that places each hospital into one of
four quality categories, specifically
‘‘Below Acceptable,’’ ‘‘Acceptable,’’
‘‘Good,’’ and ‘‘Excellent.’’ Three tables
are required to display the effective
discount percentages for each quality
category due to the phase-in of hospital
repayment responsibility from no
responsibility in performance year 1, to
partial responsibility in performance
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years 2 and 3, and finally full
responsibility in performance years 4
and 5 as discussed in section
III.C.4.b.(9) of this final rule. Depending
on the participant hospital’s actual
composite quality score that places the
hospital in a quality category, quality
incentive payments will be valued at 1.0
percent to 1.5 percent of the hospital’s
benchmark episode price (that is, of the
expected episode spending prior to
application of the discount factor to
calculate a target price).
While the final policy to place
participant hospitals into one of four
quality categories to determine
reconciliation payment eligibility and, if
applicable, the value of quality
incentive payments is the same as that
presented in the proposed rule, the
applicable scoring ranges for each
quality category discussed in the
proposed rule are different from the
ranges we are finalizing in Tables 19,
20, and 21 for several reasons. First, we
are not finalizing the THA/TKA
Readmissions measure (NQF #1551) as
part of the CJR model’s pay-forperformance methodology, requiring us
to redistribute the 20 percent weight in
the composite quality score that we had
presented for that measure. That
redistribution is discussed earlier in this
section. Second, our final policy
includes quality improvement points in
addition to quality performance points
in the composite quality score, as
discussed in the following response to
comments. We estimate based on
current quality measure performance
that approximately 4 percent and 7
percent of all participant hospitals
would qualify for improvement points
on the HCAHPS Survey measure (NQF
#0166) and the THA/TKA
Complications measure (NQF #1550),
respectively.
The most significant reason for a
change in the scoring ranges for the
quality categories in the final rule is due
to our strengthening the financial
incentives for participant hospitals
under the CJR model through the
composite quality score pay-forperformance methodology to improve
quality performance or maintain highquality performance for episodes. We
agree with the commenters who urged
us to ensure that most participant
hospitals that achieve savings beyond
the discount included in the target price
receive reconciliation payments if their
episode quality is acceptable and that
we provide the potential for
significantly greater financial reward for
hospitals that achieve or maintain high
quality episode performance. Therefore,
we have reassessed our quality
performance expectations for each
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quality category by examining the
current quality measure performance of
participant hospitals in the context of
the national measure performance
distribution. We have adjusted the final
scoring ranges to balance the quality
performance required for each quality
category with the financial incentives
(reconciliation payment eligibility and
quality incentive payments) to achieve
the quality performance required for the
category. In the context of our final
composite quality score ranges for each
quality category, we estimate that
approximately 10 percent of participant
hospitals placed in the ‘‘Below
Acceptable’’ quality category based on
their composite quality score would not
be eligible for reconciliation payments
based on their current quality measure
performance, compared to 14 percent
based on the proposed rule composite
score measures and ranges. Similarly,
we estimate that approximately 12
percent of participant hospitals would
be eligible for reconciliation payments
through placement in the ‘‘Acceptable’’
quality category but would not receive
quality incentive payments based on
their current quality performance,
compared to 30 percent in this quality
category based on the proposed rule
measures and score ranges. We estimate
that the large majority of participant
hospitals, specifically 64 percent, would
be placed in the ‘‘Good’’ quality
category based on their current quality
performance and would, therefore, be
eligible for reconciliation payments and
for quality incentive payments valued at
1.0 percent of the hospital’s benchmark
episode price, compared to 46 percent
based on the proposed rule measures
and score ranges. Finally, we estimate
that 14 percent of participant hospitals
through placement in the ‘‘Excellent’’
quality category would be eligible for
reconciliation payments and for quality
incentive payments valued at 1.5
percent of the hospital’s benchmark
episode price, compared to an estimate
of 10 percent based on the proposed
rule measures and score ranges. Thus,
for each quality performance category,
we have slightly lowered our quality
performance expectations from our
proposed rule discussion of the
composite quality score approach, in
order to provide participant hospitals
with more significant financial
incentives to improve their quality and
cost performance under the CJR model,
as well as their incentives to maintain
high-quality performance.
Hospitals will be required to achieve
a minimum composite quality of score
greater than or equal to 4.0 to be eligible
for a reconciliation payment if actual
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episode spending is less than the target
price. Participant hospitals with below
acceptable quality performance reflected
in a composite quality score less than
4.0 will be assigned to the ‘‘Below
Acceptable’’ quality category and will
not be eligible for a reconciliation
payment if actual episode spending is
less than the target price. A level of
quality performance that is below
acceptable will not affect participant
hospitals’ repayment responsibility if
actual spending exceeds the target price.
We believe that the requirement that
this minimum level of LEJR episode
quality be achieved for reconciliation
payments to be made is important to
protect beneficiaries from excessive
reductions in utilization that may result
from the financial incentives in an
episode payment model to lower actual
episode spending. Under the pay-forperformance methodology of the CJR
model, this policy should encourage
participant hospitals to focus on
appropriate reductions or changes in
utilization that lead to high quality,
more efficient care. Based on current
hospital quality measure performance,
approximately ninety percent of
participant hospitals would have a
composite quality score of greater than
or equal to 4.0 and be eligible for
reconciliation payments based on
acceptable or better quality
performance.
Participant hospitals with an
acceptable composite quality score of
greater than or equal to 4.0 and less than
6.0 will be assigned to the ‘‘Acceptable’’
quality category and be eligible for a
reconciliation payment if actual episode
spending is less than the target price
because their quality performance is at
the acceptable level established for the
CJR model. They will not be eligible for
a quality incentive payment at
reconciliation because their episode
quality performance, while acceptable,
is not good or excellent. Therefore, these
hospitals will be eligible to receive a
reconciliation payment if actual episode
spending is less than the target price.
Participant hospitals with a good
composite quality score of greater than
or equal to 6.0 and less than or equal to
13.2 will be assigned to the ‘‘Good’’
quality category and be eligible for a
quality incentive payment at
reconciliation if actual episode
spending is less than the target price
because their quality performance
exceeds the acceptable level required for
reconciliation payment eligibility under
the CJR model. In addition, they will be
eligible for a quality incentive payment
at reconciliation for good quality
performance that equals 1.0 percent of
the participant hospital’s benchmark
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price, thereby changing the effective
discount percentage included in the
target price experienced by the hospital
at reconciliation. Thus, participant
hospitals achieving this level of quality
for LEJR episodes under CJR will either
have less repayment responsibility (that
is, the quality incentive payment will
offset a portion of their repayment
responsibility) or receive a higher
payment (that is, the quality incentive
payment would add to the
reconciliation payment) at
reconciliation than they would have
otherwise based on a comparison of
actual episode spending to the target
price that reflects a 3.0 percent
discount. Therefore, these hospitals will
be eligible to receive a reconciliation
payment if actual episode spending is
less than the target price and will also
receive a quality incentive payment.
Finally, hospitals with an excellent
composite score quality score of greater
than 13.2 will be assigned to the
‘‘Excellent’’ quality category and be
eligible to receive a reconciliation
payment if actual episode spending is
less than the target price because their
quality performance exceeds the
acceptable level required for
reconciliation payment eligibility under
the CJR model. In addition, they will be
eligible for a higher quality incentive
payment at reconciliation for excellent
quality performance that equals 1.5
percent of the participant hospital’s
benchmark price, thereby changing the
effective discount percentage included
in the target price experienced by the
hospital at reconciliation. Thus,
participant hospitals achieving this
level of quality for LEJR episodes under
CJR will either have less repayment
responsibility (that is, the quality
incentive payment will offset a portion
of their repayment responsibility) or
receive a higher payment (that is, the
quality incentive payment would add to
the reconciliation payment) at
reconciliation than they would have
otherwise based on a comparison of
actual episode spending to the target
price that reflects a 3.0 percent
discount. Therefore, these hospitals will
be eligible to receive a reconciliation
payment if actual episode spending is
less than the target price and would also
receive a quality incentive payment.
TABLE 19—PERFORMANCE YEAR 1: RELATIONSHIP OF COMPOSITE QUALITY SCORE TO RECONCILIATION PAYMENT
ELIGIBILITY AND THE EFFECTIVE DISCOUNT PERCENTAGE EXPERIENCED AT RECONCILIATION
Composite quality
score
<4.0 .............................
≥4.0 and <6.0 ..............
≥6.0 and ≤13.2 ............
>13.2 ...........................
Effective discount
percentage for
reconciliation
payment
(%)
Quality category
Eligible for
reconciliation
payment
Eligible for quality
incentive payment
Below Acceptable .......
Acceptable ..................
Good ...........................
Excellent ......................
No ................................
Yes ..............................
Yes ..............................
Yes ..............................
No ................................
No ................................
Yes ..............................
Yes ..............................
3.0
3.0
2.0
1.5
Effective discount
percentage for
repayment amount
Not
Not
Not
Not
applicable.
applicable.
applicable.
applicable.
TABLE 20—PERFORMANCE YEARS 2 AND 3: RELATIONSHIP OF COMPOSITE QUALITY SCORE TO RECONCILIATION PAYMENT
ELIGIBILITY AND THE EFFECTIVE DISCOUNT PERCENTAGE EXPERIENCED AT RECONCILIATION
Composite quality score
Quality category
Eligible for
reconciliation
payment
<4.0 ..............................
≥4.0 and <6.0 ...............
≥6.0 and ≤13.2 .............
>13.2 ............................
Below Acceptable .......
Acceptable ..................
Good ...........................
Excellent .....................
No ...............................
Yes ..............................
Yes ..............................
Yes ..............................
Effective discount
percentage for
reconciliation
payment
(%)
Eligible for quality
incentive payment
No ...............................
No ...............................
Yes ..............................
Yes ..............................
3.0
3.0
2.0
1.5
Effective discount
percentage for
repayment amount
2.0
2.0
1.0
0.5
TABLE 21—PERFORMANCE YEARS 4 AND 5: RELATIONSHIP OF COMPOSITE QUALITY SCORE TO RECONCILIATION PAYMENT
ELIGIBILITY AND THE EFFECTIVE DISCOUNT PERCENTAGE EXPERIENCED AT RECONCILIATION
Quality category
<4.0 ..............................
≥4.0 and <6.0 ...............
≥6.0 and ≤13.2 .............
>13.2 ............................
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Composite quality score
Eligible for
reconciliation
payment
Below Acceptable .......
Acceptable ..................
Good ...........................
Excellent .....................
No ...............................
Yes ..............................
Yes ..............................
Yes ..............................
Under this methodology, the final
stop-loss and stop-gain limits discussed
in section III.C.8. of the final rule will
not change for participant hospitals in
different quality categories. Despite the
limited number of quality measures
adopted for the CJR model at this point
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No ...............................
No ...............................
Yes ..............................
Yes ..............................
in time compared to other programs,
such as the Shared Savings Program and
HBVP Program that use more measures
in a quality scoring methodology, after
considering the public comments we
believe this approach to quality
incentive payments based on the
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Effective discount
percentage for
reconciliation
payment
(%)
Eligible for quality
incentive payment
Sfmt 4700
3.0
3.0
2.0
1.5
Effective discount
percentage for
repayment amount
3.0
3.0
2.0
1.5
composite quality score will have the
effect of increasing the alignment of the
financial and quality performance
incentives under the CJR model to the
potential benefit of participant hospitals
and their collaborators as well as CMS,
although it substantially increases the
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complexity of the pay-for-performance
methodology to link quality and
payment. The final methodology also
provides a framework for incorporating
quality performance and quality
improvement in the pay-forperformance methodology of the CJR
model as additional measures become
available for consideration for the CJR
model. We refer readers to section
III.D.3. of this final rule for discussion
of future measures for the model.
Comment: Many commenters urged
CMS to provide incentives for hospitals
to continuously improve the quality of
care under the model. The commenters
asserted that scoring approaches
incorporating improvement have been
successfully used in other CMS
programs, such as the Shared Savings
Program and HVBP Program, as well as
other Innovation Center payment
models. The commenters recommended
that the proposed thresholds for
reconciliation payment eligibility were
inadequate as they would provide no
incentive for further quality
improvement for the approximately 50
percent of participant hospitals
currently performing better than the
proposed thresholds on all three
proposed quality measures. Some of
these commenters favored the
composite quality score methodology
and further recommended that in
addition to incorporating quality
performance on the quality measures in
the CJR model payment methodology
through the composite quality score,
CMS should reward year-over-year
quality improvement, like the Shared
Savings Program.
A few commenters recommended that
CMS reward quality improvement under
the CJR model as long as there is no
increase in episode spending, observing
that under the statutory authority for the
CJR model, one of the three expectations
for a model is that it would increase the
quality of care without increasing
spending. The commenters claimed that
setting a target price that always
includes a discount over expected
episode spending should not be
necessary for participant hospitals that
demonstrate improvements in quality
performance.
Response: We appreciate the
perspectives of the commenters who
recommended that we directly reward
hospitals for quality improvement,
consistent with pay-for-performance
policies under other CMS programs
such as the HVBP Program and the
Shared Savings Program. We note that
the proposed pay-for-performance
quality threshold methodology would
have provided no additional potential
for financial reward for quality
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improvement once participant hospitals
met the 30th performance percentile
threshold for reconciliation payment
eligibility in the first three performance
years and the 40th performance
percentile threshold in the fourth and
fifth performance years on the three
proposed quality measures. As some
commenters pointed out, the proposal
was unlikely to advance a major goal of
the CJR model to continue to improve
the quality or maintain current high
quality of care for beneficiaries in LEJR
episodes at all participant hospitals. In
contrast, the composite quality score
methodology that incorporates quality
measure performance and that we
finalized in the preceding response to
public comments may indirectly reward
quality improvement. Quality measure
performance for a performance year
within a higher performance decile than
the prior performance year may result in
a higher number of quality performance
points for that measure and, ultimately,
a higher composite quality score that
may result in participant hospital
assignment to a quality category that
provides quality incentive payments or
a higher amount of quality incentive
payments than the prior performance
year’s lower composite quality score.
However, without further refinement of
the composite quality score
methodology finalized previously,
unlike the pay-for-performance
methodology in other CMS programs
such as the Shared Savings Program, the
CJR model would not directly reward
quality improvement in the scoring
methodology, thereby providing a lesser
incentive for quality improvement than
directly including points for
improvement in the composite quality
score as recommended by some
commenters.
As we stated earlier in this section,
we are not yet certain in this model test
what performance outcomes can be
achieved under best practices.
Therefore, we believe a refinement to
the composite score methodology in
order to drive quality improvement for
participant hospitals that have
historically lagged in quality
performance on the CJR model quality
measures is appropriate, to supplement
the composite score’s valuing of quality
performance in the pay-for-performance
methodology of the model. We agree
with the commenters that we should
directly reward quality improvement
under the CJR model pay-forperformance methodology to encourage
participant hospitals currently at all
levels of quality performance to improve
their performance as they strive to
achieve high quality performance
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73379
outcomes under best practices. Like the
commenters, we recognize that the
heightened focus on episode cost and
quality performance by participant
hospitals may lead to substantial yearover-year quality measure improvement
over the model performance years, and
we agree that improvement should be
valued in the pay-for-performance
methodology, in addition to the quality
measure performance percentile
actually achieved by the hospital.
However, we disagree with the
commenters who suggested that
participant hospitals demonstrating
quality improvement should not be
expected to demonstrate episode cost
efficiency in order for quality
improvement to be rewarded. Improved
quality performance and cost savings
are closely linked in the CJR pay-forperformance methodology, as both are
major goals of the CJR model.
Therefore, we will refine the
composite score methodology discussed
in the proposed rule that assigns quality
performance points based on
performance percentiles for each
measure to add the potential for
incremental quality improvement points
to be awarded for substantial
improvement in performance on a
required quality measure. We believe
that the actual level of quality
performance achieved should be most
highly valued in the composite quality
score to reward those hospitals
furnishing high-quality care to CJR
model beneficiaries, with a smaller
contribution to the composite quality
score made by improvement points if
measure result improvement is
achieved. We acknowledge that just
because a hospital shows substantial
improvement on a measure result, this
does not necessarily mean the episode
care is high-quality, yet the
improvement spurred by the hospital’s
participation in the CJR model deserves
to be valued as the hospital’s
performance is moving in a direction
that is good for the health of
beneficiaries. Valuing improvement is
especially important because the CJR
model involves such a wide range of
hospitals that must participate if they
are located in the selected MSAs, and
the hospitals will be starting from many
different current levels of quality
performance. This refinement to the
composite quality score methodology
will help to provide all participant
hospitals with a strong incentive to
improve LEJR episode outcomes,
including those hospitals with
historically lagging quality performance.
Specifically, we will add into the
composite quality score 10 percent of
the maximum value for one or both of
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the required measures, as applicable,
which would equal 1 point for the THA/
TKA Complications measure (NQF
#1550) or 0.8 point for the HCAHPS
Survey measure (NQF #0166), for those
participant hospitals that demonstrate
substantial improvement from the prior
year’s measure performance percentile
on that measure. This modest increment
of 10 percent will allow us to continue
to value most significantly quality
performance in the composite quality
score, while incorporating a significant
but lesser value on quality
improvement. We believe that
rewarding improvement by allocating 10
percent of the maximum quality
performance points to improvement on
a measure provides a significant
incentive for participant hospitals to
achieve national high performance
benchmarks on the quality measures, as
well as provides an incentive for
historically lagging hospitals to make
significant quality improvements.
Because of the uncertainty of
statistical measures, as discussed
previously in this section, and our
annual comparison of a participant
hospital’s measure result to the national
distribution to determine the hospital’s
performance percentile, we will only
award measure quality improvement
points where improvement is
substantial and reflective of true
improvement in quality performance on
the individual measure. Thus, in order
to be considered for improvement
points on one of the measures, a
participant hospital must have had a
reportable measure performance result
for that measure in the prior year. We
note that in considering quality
improvement points for award in the
first model performance year, we will
use measure results from the prior year
quality measure performance period in
determining each participant hospital’s
measure performance percentile against
which we will compare its measure
performance percentile for CJR model
performance year 1 to determine if
quality improvement points should be
awarded. For the HCAHPS Survey
measure (NQF #0166), the prior year
quality measure performance period
used will be July 1, 2014 through June
30, 2015. For the THA/TKA
Complications measure (NQF #1550),
the prior year quality measure
performance period used will be April
1, 2012 through March 31, 2015. The
measure performance percentiles for
performance year 1 will be determined
from measure results from the
performance year 1 quality measure
performance periods as displayed in
Table C5 of this final rule.
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We are defining substantial as
improving 3 deciles or more in
comparison to the national distribution
of measure results. Improvement of
three deciles represents a quality
measure result change of over one-third
of the range between the 10th percentile
and the 90th percentile measure results.
The 3 decile threshold to define
substantial improvement is based on
historical Hospital Compare information
demonstrating that improving three
deciles in measure performance on an
annual basis is a challenging but
attainable threshold for hospitals and
reflects true improvement in quality
performance on the individual measure.
We estimate based on current quality
measure performance over the most
recent two years of available quality
measure result data that 30 and 55
participant hospitals would qualify for
improvement points on the HCAHPS
Survey measure (NQF #0166) and the
THA/TKA Complications measure (NQF
#1550), respectively.
We note that when a participant
hospital is awarded improvement points
in addition to performance points on a
specific required measure, the sum of
these points for the measure will be
slightly greater than the measure
performance points that would be
awarded to a hospital in the
performance decile that is one level
higher than the participant hospital’s
actual performance decile. By
recognizing quality performance in the
CJR model pay-for-performance
methodology, supplemented by valuing
quality improvement, we believe
participant hospitals at all current levels
of quality performance, including those
historically lagging, will have the
greatest incentives to achieve high and/
or improved quality of care under the
CJR model through strong financial
incentives that are linked to quality.
Comment: A number of commenters
urged CMS to further reduce the CJR
model discount percentage in the target
price for those participant hospitals who
successfully reported THA/TKA
voluntary PRO and limited risk variable
data. They recommended that CMS
apply a discount of 1.5 percent, rather
than the proposed 1.7 percent, to the
target price in order to support a
participant hospital’s development of an
effective and efficient process for
reporting. A commenter requested that
CMS provide a stronger financial
incentive for THA/TKA PRO voluntary
and limited risk variable data
submission as well as compensation for
the additional hospital costs of data
collection, reasoning that because the
proposal for the reduced discount
percentage only covers the expected
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additional costs of data collection, no
financial incentive is present for
hospitals to report these data. Several
commenters stated that CMS should go
further and require the submission of
THA/TKA voluntary PRO and limited
risk variable data by participant
hospitals in order for reconciliation
payments to be paid because, while
limiting structure and process measures
to value more highly outcome measures
is laudable, the most important
consideration in quality outcomes for
CJR model beneficiaries should be
beneficiary functional status. The
commenters expressed disappointment
in CMS’ proposal that reporting would
be voluntary and urged CMS to institute
pay-for-reporting for these data are a
requirement for hospitals to be paid any
savings achieved for their episodes
beyond the target price. Many
commenters encouraged CMS to
incorporate patient-reported outcomes
measure performance in the CJR model
as soon as possible, and some
commenters further recommended that
CMS delay implementation of the model
until the PRO measure is available for
use.
Response: We appreciate the
emphasis the commenters placed upon
measure development and
implementation to capture the
functional status of beneficiaries
following LEJR procedures. Patientreported outcomes following elective
THA and TKA, which are the focus of
the measure under development, are
critically important for these costly
procedures that beneficiaries choose to
improve their quality of life, despite the
lengthy recovery period involved. Payfor-performance in the CJR model, an
episode payment model that is designed
to incentivize efficient, high-quality
episode care, will benefit greatly from
the incorporation of participant hospital
performance on a measure of functional
status when it is fully developed. We
refer readers to section III.D.3.a.(9) of
this final rule for further discussion of
our plans and timeline to incorporate
the THA/TKA Patient-Reported
Outcome Performance Measure (PRO–
PM) result in the CJR model when its
development is complete after the
period of THA/TKA voluntary PRO and
limited risk variable data submission
under the CJR model. We do not believe
it would be appropriate to delay
implementation of the CJR model until
the measure has completed
development, because the other final
measures adopted for the model, as
described in section III.D.2.a. through c.
of this final rule, are meaningful
measures of LEJR episode quality and
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the CJR model provides an
unprecedented opportunity to complete
development of the THA/TKA PRO–PM
because of the broad scope of the model
test.
Because the measure is currently
under development, we believe our final
model payment policies and future
plans for use of the measure result in
the CJR model provide sufficient
incentive and increased financial
opportunity to encourage robust
reporting by participant hospitals of
THA/TKA voluntary PRO and limited
risk variable data. For the reasons
discussed earlier in this section, we are
not finalizing our proposed pay-forperformance threshold methodology to
determine a participant hospital’s
reconciliation payment eligibility if
episode savings are achieved beyond the
target price. Therefore, we are not
finalizing our proposal to reduce the
discount percentage to 1.7 percent from
2.0 percent for successful submission of
THA/TKA voluntary PRO and limited
risk variable data. Instead, under our
final policy we are incorporating the
successful criterion for submission of
THA/TKA voluntary PRO and limited
risk variable data into our composite
quality score methodology for the CJR
model, awarding points to participant
hospitals who successfully submit these
data that will be added into the
calculation of the hospital’s composite
quality score, consistent with our
discussion of the alternative approach to
linking quality and payment in the
proposed rule as described in detail
earlier in this section. We refer readers
to section III.D.3.a.(9) of this final rule
for our final definition of successful
reporting of THA/TKA voluntary PRO
and limited risk variable data for each
performance year of the CJR model.
Furthermore, as the PRO–PM remains
under development, we will not require
the reporting of THA/TKA voluntary
PRO and limited risk variable data for
reconciliation payment eligibility.
However, the successful reporting of the
voluntary data may increase a
participant hospital’s financial
opportunity under the model, which
may be greater than the hospital’s
increased administrative cost to report
the data. While the final policy to
incorporate successful reporting of
THA/TKA voluntary PRO and limited
risk variable data into the composite
quality score methodology is not
directly keyed to addressing the hospital
resources required for reporting as
would have been true for the voluntary
reporting payment adjustment that we
proposed, we note that voluntary
reporting can only help a hospital
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qualify for quality incentive payments
and unsuccessful reporting will not hurt
a participant hospital’s eligibility for
reconciliation payments.
Summary of Final Decisions: After
consideration of the public comments
we received, we are finalizing our
proposal discussed in section
III.C.5.b.(5)(b) of this final rule to assign
participant hospital required outcome
measure point estimates to performance
percentiles based on the national
distribution. We summarize the public
comments we received on the proposed
criteria for successfully reporting the
voluntary THA/TKA data, as discussed
in section III.C.5.b.(5)(b) of this final
rule, and provide our responses in
section III.D.3.a. of this final rule.
However, we are not finalizing our
proposal discussed in section
III.C.5.b.(5)(c)(iii) of this final rule of a
pay-for-performance methodology that
identifies specific performance
thresholds for the required quality
measures that must be met for
reconciliation payment eligibility. We
are also not finalizing our proposal
discussed in section III.C.5.b.(2) of this
final rule to reduce the discount factor
included in the target price for
successful submission of THA/TKA
voluntary PRO and limited risk variable
data. Instead, based on our review of the
public comments, we are finalizing the
use of a composite quality score, as
discussed in section III.C.5.b.(5)(c)(ii) of
this final rule, that is based on quality
performance and improvement on the
THA/TKA Complications measure (NQF
#1550) and the HCAHPS Survey
measure (NQF #0116), as well as
submission of THA/TKA voluntary PRO
and limited risk variable data, and
places participant hospitals in one of
four quality categories for each
performance year, ‘‘Below Acceptable,’’
‘‘Acceptable,’’ ‘‘Good,’’ and ‘‘Excellent.’’
The final payment policies for the
quality categories for the CJR model
performance years are discussed earlier
in this section and displayed in Tables
19, 20, and 21. We summarize the
public comments we received on the
proposed applicable time period, as
discussed in section III.C.5.b.(4) of this
final rule, and provide our responses in
section III.D.3.d. of this final rule. We
also summarize the public comments
we received on the reporting time
period for the THA/TKA patient
reported outcome and limited risk
variable data discussed in section
III.C.5.b.(4) of this final rule and provide
our responses in section III.D.3.a.(8) of
this final rule.
We have added new definitions to
§ 510.2, specifically: ‘‘Composite quality
score’’ means a score computed for each
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participant hospital to summarize the
hospital’s level of quality performance
and improvement on specified quality
measures, as described in § 510.315;
‘‘Quality performance points’’ are points
that CMS adds to a participant
hospital’s composite quality score for a
measure based on the performance
percentile scale and for successful data
submission of patient reported
outcomes; and ‘‘Quality improvement
points’’ are points that CMS adds to a
participant hospital’s composite quality
score for a measure if the hospital’s
performance percentile on an individual
quality measure increases from the
previous performance year by at least
three deciles on the performance
percentile scale. We have revised
§ 510.305(f)(2) and (g)(2) and (3) to
reflect the role of the composite quality
score in determining reconciliation
payment eligibility. The final pay-forperformance methodology is set forth in
§ 510.315, which has been retitled,
‘‘Composite quality scores for
determining reconciliation payment
eligibility and quality incentive
payments,’’ and revised to set forth the
final pay-for-performance methodology
of the CJR model as described in this
final rule.
6. Process for Reconciliation
We outlined in the proposed rule our
proposals for how we intend to
reconcile aggregate related Medicare
payments for a hospital’s beneficiaries
in CJR episodes during a performance
year against the applicable target price
in order to determine if reconciliation
payment (or repayment, beginning in
performance year 2) is applicable under
this model. We refer readers to section
III.B. of this final rule for our definition
of related services for LEJR episodes
under CJR, to section III.C.2.a. of this
final rule for our definition of
performance years, and to section
III.C.4. of this final rule for discussion
of our approach to establish target
prices.
a. Net Payment Reconciliation Amount
(NPRA)
The proposed rule detailed our
proposal to conduct reconciliation by
calculating a NPRA for each hospital
participant in the model. After the
completion of a performance year, we
proposed to retrospectively calculate a
participant hospital’s actual episode
performance based on the episode
definition. We noted that episode
payments for purposes of the CJR model
would exclude the effects of special
payment provisions under existing
Medicare payment systems (section
III.C.3.a. of this final rule), be subject to
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proration for services that extend
beyond the episode (section III.C.3.b. of
this final rule), and exclude certain
PBPM payments for programs and
models specified in section III.C.7.d. of
this final rule. We proposed that some
episodes may be excluded entirely from
the CJR model due to overlap with BPCI
episodes, as discussed in section
III.C.7.b. of this final rule. Finally, we
proposed that actual episode payments
calculated for purposes of CJR would be
capped at anchor MS–DRG and regionspecific high episode payment ceilings
(section III.C.3.c. of this final rule). We
proposed to apply the high episode
payment ceiling policy to episodes in
the performance year similarly to how
we apply it to historical episodes
(section III.C.4.c. of this final rule).
Episode payments for episodes
attributed to CJR eligible hospitals
would be determined and the high
episode payment ceiling would be
calculated as two standard deviations
above the mean. Any actual episode
payment amount above the high
payment ceiling would be capped at the
applicable ceiling.
We proposed to compare each
participant hospital’s actual episode
payment performance to its target
prices. We proposed that, as discussed
in section III.C.4. of this final rule, a
participant hospital would have
multiple target prices for episodes
ending in a given performance year,
based on the MS–DRG anchor (MS–DRG
469 versus MS–DRG 470), the
performance year when the episode was
initiated, when the episode was
initiated within a given performance
year (January 1 through September 30 of
the performance year, October 1 through
December 31 of the performance year,
October 1 through December 31 of the
prior performance year), and whether
the participant hospital successfully
submitted THA/TKA voluntary PRO
and limited risk variable data. The
applicable target price for each episode
would be determined using the
previously stated criteria, and the
difference between each CJR episode’s
actual payment and the relevant target
price (calculated as target price
subtracted by CJR actual episode
payment) would be aggregated for all
episodes for a participant hospital
within the performance year,
representing the raw NPRA. This
amount would be adjusted per the steps
discussed later in this section, creating
the NPRA.
We proposed to adjust the raw NPRA
to account for post-episode payment
increases (section III.C.8.e. of this final
rule) and stop-loss and stop-gain limits
(section III.C.8.b. of this final rule). Any
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NPRA amount greater than the proposed
stop-gain limit would be capped at the
stop-gain limit, and any NPRA amount
less than the proposed stop-loss limit
would be capped at the stop-loss limit.
We did not propose to include any
CJR reconciliation payments or
repayments to Medicare under this
model for a given performance year in
the NPRA for a subsequent performance
year. We want to incentivize providers
to provide high quality and efficient
care in all years of the model. If
reconciliation payments for a
performance year are counted as
Medicare expenditures in a subsequent
performance year, a hospital would
experience higher Medicare
expenditures in the subsequent
performance year as a consequence of
providing high quality and efficient care
in the prior performance year, negating
some of the incentive to perform well in
the prior year. Therefore, we proposed
to not have the NPRA for a given
performance year be impacted by CJR
repayments or reconciliation payments
made in a prior performance year. For
example, if a CJR hospital receives a
$10,000 reconciliation payment in the
second quarter of 2017 for achieving
episode spending below the target price
for performance year 1, that $10,000
reconciliation payment amount would
not be included in the performance year
2 calculations of actual episode
spending. However, as discussed in
section III.C.6.b. of this final rule,
during the following performance year’s
reconciliation process, we proposed to
account for additional claims run-out
and overlap from the prior performance
year, and net that amount with the
subsequent performance year’s NPRA to
determine the reconciliation or
repayment amount for the current
reconciliation. The following is a
summary of comments received and our
response.
Comment: Commenters emphasized
the need to accurately account for wage
index differences when calculating
target prices and conducting
reconciliation activities.
Response: We refer readers to
comments and responses to comments
in section III.C.4.b.(7) of this final rule
for further discussion on the finalized
target price calculation policy to
normalize for wage index differences at
the claim level and to reintroduce wage
index differences based on the
participant hospital’s wage index and
labor cost share. In order to maintain
consistency with the target price
calculations, and to more accurately
normalize for the effects of wage index
differences, we will apply the same
claim-level wage index normalization to
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claim payments included in actual
episode expenditures for each
performance year when calculating a
hospital’s NPRA.
We also refer readers to response to
comments in section III.C.4.b.(7) of this
final rule on the importance of
reintroducing wage index differences
when calculating target prices and
reconciliation and repayment amounts.
In order to maintain consistency with
the target price calculations, we will
reintroduce wage index differences
when calculating NPRA by applying the
participant hospital’s wage index and
0.7 as the labor cost share. By mirroring
the target price calculation approach for
accounting for wage index differences,
we can better ensure that any
reconciliation amounts or repayments to
Medicare are due to differences in
practice patterns, not Medicare FFS
wage index policy variations.
Comment: A commenter suggested
that CMS perform reconciliation
calculations differently when a
beneficiary in a CJR episode receives
PAC from a SNF or HHA not
recommended by the CJR hospital
discharge planners. Another commenter
noted that the reconciliation calculation
CMS proposed needed refinement as it
pertains to the proposed methodology
for setting episode prices and paying
model participants; the commenter’s
suggestions pertaining to the payment
methodology are addressed in section
III.C.4. of this final rule.
Response: We thank commenters for
their suggestions. However, we do not
believe it is appropriate to make
adjustments to a given hospital’s NPRA
based on the choice of PAC facility for
beneficiaries discharged from that
facility. Such a change would be
inconsistent with our goal of
maintaining beneficiary choice and
access to care, discussed in section III.F.
of this final rule. We also note that the
process for calculating the NPRA is
consistent with our methodology for
calculating target prices and actual
episode spending during the
performance period (section III.C.4.b. of
this final rule), along with the
adjustments to NPRA that would
account for post-episode spending
(III.C.8.d. of this final rule) and the stoploss and stop-gain limits discussed in
section III.C.8.b. of this final rule.
Final Decision: We refer readers to
section III.C.4. of this final rule for
discussion of modifications to how the
target prices and performance period
episode spending are calculated,
including risk stratification for fracture
patients. In addition, section III.C.5. of
this final rule addresses our final policy
on how quality performance will be
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used to determine a CJR hospital’s
effective discount percentage. However,
after consideration of the public
comments we received, we are
modifying our proposal to calculate the
NPRA utilizing the methodology
described in this subsection to account
for wage index normalization and
reintroduction when calculating actual
episode expenditures in a performance
year and including the modifications to
calculation of target prices and actual
episode spending as described
elsewhere in this section. After the
completion of a performance year, we
will retrospectively calculate a
participant hospital’s actual episode
spending based on the episode
definition. Each participant hospital’s
actual episode payment performance
will be compared to its target prices,
creating the raw NPRA, and then
adjusted for the stop-loss and stop-gain
limits, as well as post-episode spending,
creating the NPRA.
b. Payment Reconciliation
We proposed to reconcile payments
retrospectively through the following
reconciliation process. We proposed to
reconcile a participant hospital’s CJR
actual episode payments against the
target price 2 months after the end of the
performance year. More specifically, we
would capture claims submitted by
March 1st following the end of the
performance year and carry out the
NPRA calculation as described
previously to make a reconciliation
payment or hold hospitals responsible
for repayment, as applicable, in quarter
2 of that calendar year.
Comment: Some commenters
explicitly supported CMS’s proposal to
implement a retrospective reconciliation
process. However, a few commenters
suggested CMS implement a prospective
reconciliation process (see section
III.C.2.b. of this final rule for discussion
of comments on the retrospective
payment methodology). Commenters
suggested CMS make a prospective
bundled payment to hospitals for all
services provided during a CJR episode;
hospitals would then distribute
payments to other providers and
suppliers. A commenter suggested that
CMS hold a specified percentage of total
episode payments for downstream (nonhospital) providers and suppliers
furnishing services during CJR episodes
and hospitals would later distribute the
amount of the withheld payment to
providers and suppliers based on
quality and efficiency.
Response: We refer readers to section
III.C.4.b. of this final rule for discussion
of comments received on our proposed
methodology to establish target prices
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and retrospectively calculate
performance period episode spending.
We considered the suggestion to
implement a blended reconciliation
approach by withholding a specified
percentage of FFS payments and later
distributing the remainder of payments
to hospitals for disbursement to
downstream providers and suppliers.
We believe that the operational
challenges associated with such an
approach would introduce significant
administrative burden for hospitals. We
also note that, as discussed in section
III.C.10. of this final rule, we are
finalizing policies that will allow
participant hospitals to engage in
financial arrangements and
relationships with downstream
providers and suppliers. We believe
these relationships will allow
participant hospitals the opportunity to
share financial risk with downstream
providers and suppliers and engage
such entities in efforts to improve
quality and efficiency throughout the
episode.
Final Decision: After consideration of
the public comments we received, we
are finalizing our proposal, without
modification, to conduct a retrospective
reconciliation process for the CJR
model.
To address issues of overlap with
other CMS programs and models that
are discussed in section III.C.7. of the
proposed rule, we also proposed that
during the following performance year’s
reconciliation process, we would
calculate the prior performance year’s
episode spending a second time to
account for final claims run-out, as well
as overlap with other models as
discussed in section III.C.7. of this final
rule. This would occur approximately
14 months after the end of the prior
performance year. As discussed later in
this section, the amount from this
calculation, if different from zero,
would be applied to the NPRA for the
subsequent performance year in order to
determine the amount of the payment
Medicare would make to the hospital or
the hospital’s repayment amount. We
note that the subsequent reconciliation
calculation would be applied to the
previous calculation of NPRA for a
performance year to ensure the stop loss
and stop gain limits discussed in section
III.C.8. of this final rule are not
exceeded for a given performance year.
For the performance year 1
reconciliation process, we would
calculate a participant’s, as previously
described, and if positive, the hospital
would receive the amount as a
reconciliation payment from Medicare.
If negative, the hospital would not be
responsible for repayment to Medicare,
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consistent with our proposal to phase in
financial responsibility beginning in
performance year 2. Starting with the
CJR reconciliation process for
performance year 2, in order to
determine the reconciliation or
repayment amount, the amount from the
subsequent reconciliation calculation
would be applied to the NPRA. We
proposed that if the amount is positive,
and if the hospital meets the minimum
quality score required to be eligible for
reconciliation, (discussed further in
section III.C.5. of this final rule), the
hospital would receive the amount as a
reconciliation payment from Medicare.
If the amount is negative, Medicare
would hold the participant hospital
responsible for repaying the absolute
value of the repayment amount
following the rules and processes for all
other Medicare debts. Note that given
our proposal to not hold participant
hospitals financially responsible for
repayment for the first performance
year, during the reconciliation process
for performance year 2 only, the
subsequent calculation amount (for
performance year 1) would be compared
against the performance year 1 NPRA to
ensure that the sum of the NPRA
calculated for performance year 1 and
the subsequent reconciliation
calculation for year 1 is not less than
zero. For performance years 2 through 5,
though, we proposed that Medicare
would hold the participant hospital
responsible for repaying the absolute
value of the repayment amount
following the rules and processes for all
other Medicare debts. The following
table illustrates a simplified example of
how the subsequent reconciliation
calculation may affect the following
year’s reconciliation payment. The
second column represents the raw
NPRA calculated for Performance Year
1, meaning that Hospital A’s aggregated
episode spending was $50,000 below
the target price multiplied by the
number of episodes. The third column
represents the subsequent reconciliation
calculation, indicating that when
calculating episode spending during
Performance Year 1 a second time, we
determined that Hospital A’s aggregated
episode spending was $40,000 below
the target price multiplied by the
number of episodes, due to claims
runout, accounting for model overlap, or
other reasons. The fourth column
represents the difference between the
subsequent reconciliation calculation
and the raw NPRA calculated for
Performance Year 1. This difference is
then combined with the amount in the
fifth column to create the reconciliation
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payment amount for PY2, which is
reflected in the sixth column.
TABLE 22—SAMPLE RECONCILIATION RESULTS
Performance
Year 1 (2016)
raw NPRA
Performance
Year 1
subsequent
reconciliation
calculation
Difference
between PY1
subsequent
reconciliation
calculation
and raw NPRA
Performance
Year 2 (2017)
raw NPRA
Reconciliation
payment made to
hospital in
quarter 2 2018
$50,000
$40,000
($10,000)
$25,000
$15,000
Hospital A .........................................................
This reconciliation process would
account for overlaps between the CJR
model and other CMS models and
programs as discussed in section III.C.7.
of this final rule, and would also
involve updating performance year
episode claims data. We also note that
in cases where a hospital has appealed
its quality performance results on the
complications and HCAHPS quality
measures through the IQR program
appeal process, discussed in section
III.D. of this final rule, and where such
appeal results would result in a
different effective discount percentage
or quality incentive payment under the
CJR model, the subsequent
reconciliation calculation will account
for these updates as well.
For example, for performance year 1
for the CJR model in 2016, we would
capture claims submitted by March 1st,
2017, and reconcile payments for
participant hospitals approximately 6
months after the end of the performance
year in quarter 2 of calendar year 2017.
We would carry out the subsequent
calculation in the following year in
quarter 2 of calendar 2018,
simultaneously with the reconciliation
process for the second performance
year, 2017. Table 23 provides the
reconciliation timeframes for the model.
Lastly, we proposed that the
reconciliation payments to or
repayments from the participant
hospital would be made by the MAC
that makes payment to the hospital
under the IPPS. This approach is
consistent with BPCI Model 2
operations.
We proposed this approach in order
to balance our goals of providing
reconciliation payments in a reasonable
timeframe, while being able to account
for overlap and all Medicare claims
attributable to episodes. We stated that
pulling claims 2 months after the end of
the performance year would provide
sufficient claims run-out to conduct the
reconciliation in a timely manner, given
that our performance year includes
episodes ending, not beginning, by
December 31st. We note that in
accordance with the regulations at
§ 424.44 and the Medicare Claims
Processing Manual (Pub. L. 100–04),
Chapter 1, Section 70, Medicare claims
can be submitted no later than 1
calendar year from the date of service.
We recognized that by pulling claims 2
months after the end of the performance
year to conduct reconciliation, we
would not have complete claims runout. However, we believed that the 2
months of claims run-out would be an
accurate reflection of episode spending
and consistent with the claims run-out
timeframes used for reconciliation in
other payment models, such as BPCI
Models 2 and 3. The alternative would
be to wait to reconcile until we have full
claims run out 12 months after the end
of the performance year, but we were
concerned that this approach would
significantly delay earned reconciliation
payments under this model. Because we
proposed to conduct a second
calculation to account for overlap with
other CMS models and programs, we
proposed to incorporate updated claims
data with 14 months run out at that
time. However, we did not expect that
the updated data should substantially,
in and of itself, affect the reconciliation
results assuming hospitals and other
providers and suppliers furnishing
services to Medicare beneficiaries in CJR
episodes follow usual patterns of claims
submission and do not alter their billing
practices due to this model.
TABLE 23—PROPOSED TIMEFRAME FOR RECONCILIATION IN CJR
Model
performance
year
Year 1 * ...............
Year 2 .................
Year 3 .................
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Year 4 .................
Year 5 .................
Reconciliation claims
submitted by
Reconciliation
payment or
repayment
Second calculation
to address overlaps
and claims run-out
Episodes ending April 30, 2016
to December 31, 2016.
Episodes ending January 1,
2017 through December 31,
2017.
Episodes ending January 1,
2018 through December 31,
2018.
Episodes ending January 1,
2019 through December 31,
2019.
Episodes ending January 1,
2020 through December 31,
2020.
March 1, 2017 .........
Q2 2017 ..................
March 1, 2018 .........
Q2 2018.
March 1, 2018 .........
Q2 2018 ..................
March 1, 2019 .........
Q2 2019.
March 1, 2019 .........
Q2 2019 ..................
March 2, 2020 .........
Q2 2020.
March 2, 2020 .........
Q2 2020 ..................
March 1, 2021 .........
Q2 2021.
March 1, 2021 .........
Q2 2021 ..................
March 1, 2022 .........
Q2 2022.
* Note that the reconciliation for Year 1 would not include repayment responsibility from CJR hospitals.
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amount
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Comment: Several commenters
supported the proposed reconciliation
process. However, many commenters
requested that CMS conduct
reconciliation activities on a quarterly
or semi-annual, instead of annual, basis.
Some commenters suggested that CMS
offer participant hospitals the option of
electing annual or a more frequent
reconciliation timeline. Commenters
stated numerous reasons for their
request, including: Providing revenue
and cash flow to hospitals throughout
the year to aid in care coordination and
redesign efforts; giving hospitals interim
data on financial performance; the time
lag between the end of a performance
year and the subsequent reconciliation
calculation; utilizing data for improving
care processes; giving hospitals the
opportunity to gainshare with other
providers and suppliers with greater
frequency; and consistency with the
frequency of reconciliation in the BPCI
initiative, among other reasons. Some
commenters supported the proposal to
make reconciliation payments or require
repayment on an annual basis, but
requested that CMS also conduct
interim quarterly reconciliation
projections to provide hospitals with
information on financial performance
throughout the performance year.
Several commenters claimed that the
proposed reconciliation process would
result in reduced revenue for hospitals
throughout the performance period.
However, a commenter stated that
receiving annual reconciliation results
in the second quarter of the calendar
year following the completion of a
performance year would provide
hospitals with timely feedback and
opportunity to adjust strategies in
subsequent years to improve or
maintain financial performance.
Another commenter noted that annual
reconciliation at the end of each
performance year would give
participants an early indication of
progress under the model.
Response: We appreciate the
perspectives of the commenters on our
proposal. In response to commenters’
concerns that an annual reconciliation
process would result in reduced
revenue for hospitals, we are clarifying
that model participants, and all
providers and suppliers, would
continue to bill and be paid through
normal Medicare FFS processes
throughout the model for Part A and
Part B services furnished to
beneficiaries during a CJR episode, with
a retrospective reconciliation process
after the conclusion of a performance
year. We disagree that an annual
reconciliation process would result in
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reduced revenue for hospitals. In
addition, we note that beginning in the
second quarter of 2017 when the first
reconciliation is performed, CJR
hospitals will be able to utilize any
reconciliation payments they earn to
invest in care redesign and coordination
efforts on an ongoing basis. We
emphasize that the delay of financial
repayment responsibility until
performance year 2 means no hospital
will be required to make a repayment to
Medicare until the second quarter of
2018 for actual episode spending
exceeding the target price. In addition,
the delay of the model start date until
April 1, 2016 and truncated first
performance year will reduce the
amount of time between beginning
participation in the CJR model and the
first reconciliation.
We appreciate commenters’ concerns
and request for more frequent feedback
on performance throughout the
performance period. However, we
continue to believe that an annual
reconciliation process is most
appropriate for the following reasons.
As previously stated in this section,
providers and suppliers have a calendar
year to submit FFS claims for payment.
Implementing a quarterly reconciliation
process, as we do for the BPCI models,
would mean that many claims may be
incomplete at the time of the
reconciliation. The BPCI reconciliation
process incorporates 3 subsequent
reconciliation calculations, and BPCI
participants have experienced
significant fluctuation in financial
results between the initial reconciliation
and the subsequent calculations. We
believe our proposed annual
reconciliation approach will lead to
more stable financial results for
providers. We also note based on our
experience with the BPCI models that a
quarterly reconciliation process results
in model participants’ near constant
engagement in the reconciliation and
appeals processes. This can potentially
take time away from efforts focused on
care redesign and coordination with
providers and suppliers engaged in
furnishing care for beneficiaries under
the model. In addition, given our plan
to assess hospital performance on
quality measures (discussed in section
III.C.5. of this final rule), we note that
annual reconciliation processes will be
necessary in order to calculate an
accurate composite quality score for
hospital participants, since quality
measures are calculated on an annual
basis. We also proposed to perform
annual reconciliation for consistency
with other models and programs such as
the Shared Savings Program. As
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discussed in section III.C.7.e.of this final
rule, we will allow for beneficiaries to
be assigned to an ACO and have a
concurrent CJR episode. We will
perform our reconciliation calculations
and then make the reconciliation and
repayment amounts available to other
models and programs in order to
account for overlapping beneficiaries.
We have aligned our annual
reconciliation timeline with the ACO
models and program in order to make
this information available before the
ACO models and program begin their
annual financial reconciliation
calculations; such a timeline is
necessary to be able to account for
program and model overlap.
We understand commenters’
assertions that annual reconciliation
does not allow for frequent feedback on
financial performance under the model.
We would like to reiterate that we will
be providing both line-level and
summary claims data to model
participants on a quarterly basis, as
discussed in section III.E. of this final
rule. Such data are intended to provide
hospitals with information about their
care patterns and to identify
opportunities for care redesign and
savings. This data will also provide
ongoing feedback to hospitals about
their performance under the model, by
including both raw claims as well as
summary data with information about
their episode spending and care
patterns. Moreover, unlike in BPCI
Models 2 and 3, we will be providing
model participants with performance
year target prices on a prospective basis,
as discussed in section III.C.4 of this
final rule. Prospective target pricing will
provide hospitals with increased
certainty about financial targets under
the model. Finally, we also considered
commenters’ requests to conduct
interim financial reconciliation
calculations on a quarterly basis and
provide the results of such calculations
to hospitals. Because of the potential for
volatility between the interim results
and the final reconciliation results, and
our concern that such results would not
provide additional meaningful
information to hospitals not present in
the claims data and prospective target
prices, we are not pursuing an interim
reconciliation process at this time.
However, we will continue to consider
commenters’ suggestions and will
consider the feasibility of providing
interim results in the future if we
believe it could aid hospitals in
succeeding under this model and would
provide additional information not
already present in the previously stated
claims data and target prices.
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Final Decision: After consideration of
the public comments we received, we
are finalizing our proposal, without
modification, to conduct financial
reconciliation on an annual basis. We
will engage with CJR hospitals
throughout the model to ensure the
prospective target prices and quarterly
data provided to hospitals provide
sufficient ongoing feedback and data to
hospitals between reconciliations. As
previously noted, we will continue to
consider commenters’ suggestions and
consider the feasibility of further
interim financial results in the future if
warranted.
Comment: Several commenters
expressed concerns about post-payment
denials and Recovery Audit Contractor
(RAC) or MAC reviews that may occur
after the CJR model reconciliation
processes are complete. A commenter
asserted that providers could be doubly
penalized for such claims if review and
denial occurs after the subsequent
reconciliation calculation, in particular
if a claim is denied for more than 100
percent of the payment amount. The
commenter noted further concern due to
the aggregated reconciliation
calculation; that is if a given claim is
later denied for an amount greater than
100 percent of the payment amount, the
denied amount could affect more than
just the claim in question. The
commenter urged CMS to exempt all
claims attributed to the CJR model from
post-payment review and denial.
Another commenter requested that
CMS further outline the reconciliation
and repayment processes, including
how reconciliation would be conducted
for Periodic Interim Payment (PIP)
hospitals. Finally, a commenter
requested a more flexible repayment
process for hospitals meeting certain
eligibility criteria, but did not suggest
specific criteria.
Response: We appreciate the
commenters’ views. We believe the
proposed process to perform a
reconciliation calculation 2 months after
the conclusion of a performance year,
with a subsequent reconciliation
calculation 12 months later, will allow
sufficient time for routine monitoring,
review, and adjustment. We
acknowledge that audits and reviews
may occur after our reconciliation
processes are complete, agreeing that
post-payment reviews may occur up to
3 years after the submission of a claim,
or longer in some instances. However,
we believe that concluding
reconciliation processes 14 months after
the completion of a performance year
provides a reasonable timeframe for
claims run-out and subsequent actions
on a claim and is consistent with other
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payment reconciliation processes, such
as the reconciliation of hospital cost
reports, which can have impacts that are
mostly but not entirely reconciled
across multiple payment systems. With
respect to commenters’ specific
suggestions, we note that prohibiting
review of all claims submitted for a
beneficiary during a CJR episode would
not be consistent with our stated goals
of the model to monitor for quality and
appropriateness of care. While we
appreciate the concern that the price
setting methodology under this model
already provides a limit on spending
during the episode, we point out that
provider payments are not absolutely
capped and hospitals are therefore not
completely at risk. During the initial
model period in which hospitals will
not be financially responsible for
repayment to Medicare for spending
exceeding the target price, all risk will
be borne by Medicare. In addition, in
later years of the model all CJR hospital
gains and losses are capped, as
discussed in section III.C.8. of this final
rule, meaning that Medicare will
continue to bear risk for unusually
costly cases. We do not believe that
CMS should be denied the full
flexibility to utilize all current processes
for pre- and post-payment review based
on existing rules and regulations for
claims associated with care furnished
under this model. Such a policy could
potentially encourage inefficient or
inaccurate billing practices, or hinder
CMS’ ability to appropriately monitor
provider and supplier practices under
the model. We also note that such
situations would only happen if a claim
were later denied and as such,
encourage providers and suppliers
submitting claims to ensure accuracy
and that policies as laid out in this final
rule are followed by all providers and
suppliers submitting Medicare FFS
claims for services furnished to
beneficiaries under the model.
In response to these comments we
have considered whether it would be
appropriate to allow subsequent
reconciliations if claims are denied and
reprocessed after the second
reconciliation. We do not believe this is
appropriate for several reasons. First, we
note that in the event that the hospital’s
total episode spending exceeded the
target price, we are finalizing policies
that limit hospitals’ financial
responsibility for such spending, as
discussed in section III.C.8. of this final
rule. Second, the entire purpose of MAC
and RAC audits is to ensure that
Medicare payments are correctly
administered and made only for services
delivered in accordance with statute
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and regulation. If the hospital enters
into appropriate collaboration
agreements with high quality,
responsible, and compliant PAC
providers, the 14-month period prior to
the second reconciliation provides
ample opportunity for the hospital and
its collaborators to work together to
conduct internal audits and ensure that
PAC claims are properly submitted or
corrected. We believe it is appropriate
for hospitals to continue to share some
risk with Medicare even after the final
reconciliation, and believe this provides
additional incentives for them to work
closely with their collaborators to
ensure that all services are delivered
appropriately. Third, we believe it is
important to conclude the reconciliation
process in the timeframe we have
previously outlined in this section, in
order to provide hospitals with financial
results and certainty over their
performance under the model.
Additional subsequent reconciliations
could introduce uncertainty for model
participants. Finally, we do agree that
we have a responsibility to ensure that
MACs, RACs, and other auditing entities
audit services delivered under the CJR
using the rules and regulations
governing the CJR model in addition to
all other relevant statute, regulation, and
guidance. We believe that appropriate
contractor training and oversight will
protect hospitals from inappropriate
denials while protecting beneficiaries
from the use of inappropriate services
and protecting Medicare from making
payments on inappropriate claims. We
reiterate the information provided in the
proposed rule that when a hospital is
eligible for a reconciliation payment,
such payment would be made to
participant hospitals in a form and
manner specified by CMS. In cases
where repayment is required, as stated
in the proposed rule, CMS will follow
the normal Medicare debt processes,
such as issuing a demand letter. CMS
intends to build on existing processes
for making reconciliation payments to
hospitals or requiring repayment which
are familiar to hospitals. Such processes
will rely on electronic and other
established processes to the extent
possible. We also reiterate that as
discussed in section III.C.8. of this final
rule, certain hospitals would be afforded
additional financial protections. We
believe are protections are sufficient and
an extended repayment process for such
hospitals is not necessary.
With regard to PIP hospitals, we
appreciate that commenters point out
the different payment processes that
apply to such hospitals. PIP hospitals
receive biweekly payments based on
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hospitals’ estimates of applicable
Medicare reimbursement for a given
cost period. Such hospitals also submit
FFS claims to Medicare, which are
reconciled against the payments made
through the PIP processes. Given that
such hospitals continue to submit FFS
claims and the reconciliation and
repayment amounts from the CJR model
would not be included in the PIP
hospital cost reports at settlement, we
do not believe it is necessary to institute
a separate reconciliation process for PIP
hospitals.
Summary of Final Decisions: After
consideration of the public comments
we received, we are finalizing our
proposal to calculate the NPRA as
73387
previously outlined. We are also
finalizing, without modification, our
proposal to conduct an annual
retrospective reconciliation with one
subsequent reconciliation calculation in
the following year.
The following table illustrates the
final timeframe for reconciliation.
TABLE 24—FINAL TIMEFRAME FOR RECONCILIATION IN CJR
Second calculation
adjustment to
reconciliation
amount
Model
performance year
Model performance period
Reconciliation claims
submitted by
Reconciliation
payment or
repayment
Second calculation
to address overlaps
and claims run-out
Year 1 * ...............
Episodes ending June 30,
2016 to December 31, 2016.
Episodes ending January 1,
2017 through December 31,
2017.
Episodes ending January 1,
2018 through December 31,
2018.
Episodes ending January 1,
2019 through December 31,
2019.
Episodes ending January 1,
2020 through December 31,
2020.
March 1, 2017 .........
Q2 2017 ..................
March 1, 2018 .........
Q2 2018.
March 1, 2018 .........
Q2 2018 ..................
March 1, 2019 .........
Q2 2019.
March 1, 2019 .........
Q2 2019 ..................
March 2, 2020 .........
Q2 2020.
March 2, 2020 .........
Q2 2020 ..................
March 1, 2021 .........
Q2 2021.
March 1, 2021 .........
Q2 2021 ..................
March 1, 2022 .........
Q2 2022.
Year 2 .................
Year 3 .................
Year 4 .................
Year 5 .................
* Note that the reconciliation for Year 1 would not include repayment responsibility from CJR hospitals.
This final policy is set forth at
§ 510.305.
7. Adjustments for Overlaps With Other
Innovation Center Models and CMS
Programs
a. Overview
In the proposed rule, we
acknowledged that there may be
circumstances where a Medicare
beneficiary in a CJR episode may also be
assigned to an ACO participating in the
Shared Savings Program or otherwise
accounted for in a payment model being
tested by the Innovation Center. Current
or forthcoming programs and models
with potential overlap with CJR are
displayed in Table 24. For purposes of
this final rule, ‘‘total cost of care’’
models refers to models in which
episodes or performance periods
include participant financial
responsibility for all Part A and Part B
spending, as well as some Part D
spending in select cases. We use the
term ‘‘shared savings’’ to refer to models
in which the payment structure
includes a calculation of total savings
and CMS and the model participants
each retain a particular percentage of
that savings. We note that there exists
the possibility for overlap between CJR
episodes and shared savings programs
and models such as the Pioneer ACO
Model, other total cost of care models
such as the OCM, other Innovation
Center payment models such as BPCI,
and other models or programs that
incorporate per-beneficiary-per-month
fees or other payment structures.
TABLE 25—CURRENT PROGRAMS AND MODELS WITH POTENTIAL OVERLAP WITH CJR MODEL
Per-beneficiaryper-month
(PBPM)
payments?
Brief description
Shared savings?
Pioneer ACO Model ..............................................
Medicare Shared Savings Program (Shared Savings Program).
Next Generation ACO Model * ..............................
Comprehensive Primary Care initiative (CPCi) ....
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Program/model
ACO shared savings model ................................
ACO shared savings program .............................
Yes .........................
Yes .........................
No.
No.
ACO shared savings model ................................
Pays primary care providers for improved and
comprehensive care management.
Multi-payer model for advanced primary care
practices, or ‘‘medical homes‘‘.
Bundled payment program for acute or PAC
services or both.
Multi-payer model for oncology physician group
practices (PGPs).
ACO for ESRD Medicare beneficiaries ...............
Model targeting prevention of heart attack and
stroke.
Yes .........................
Yes .........................
No.
Yes.
Yes .........................
Yes.
No ..........................
No.
No ..........................
Yes.
Yes .........................
No ..........................
No.
Yes.
Multi-payer Advanced Primary Care Practice
(MAPCP).
Bundled Payments for Care Improvement (BPCI)
Oncology Care Model (OCM) * .............................
Comprehensive ESRD Care Initiative (CEC) * .....
Million Hearts * ......................................................
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TABLE 25—CURRENT PROGRAMS AND MODELS WITH POTENTIAL OVERLAP WITH CJR MODEL—Continued
Program/model
Brief description
Shared savings?
Medicare Care Choices Model (MCCM) * ............
Hospice concurrent care model ..........................
No ..........................
Per-beneficiaryper-month
(PBPM)
payments?
Yes.
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* Denotes model in pre-implementation phase.
In the proposed rule, we outlined the
following issues that may arise in such
overlap situations that must be
addressed under CJR. First, beneficiaries
in CJR episodes could also be part of
BPCI Model 2 or 3 LEJR episodes or
BPCI non-LEJR episodes, and the
clinical services provided as part of
each episode may overlap entirely or in
part. Second, CJR reconciliation
payments and repayments that are made
under Part A and B and attributable to
a specific beneficiary’s episode may be
at risk of not being accounted for by
other models and programs when
determining the cost of care under
Medicare for that beneficiary. Third,
some Innovation Center models make
PBPM payments to entities for care
coordination and other activities, either
from the Part A or B Trust Fund or both,
or from the Innovation Center’s own
appropriation (see section 1115A(f) of
the Act). These payments may occur
during a CJR episode. Finally, there
could be instances when the expected
Medicare savings for a CJR beneficiary’s
episode (represented by the discount
percentage) is not achieved by Medicare
because part of that savings is paid back
to the hospital or another entity under
the Shared Savings Program or a total
cost of care model in which the
beneficiary is also included. We sought
comment on our proposals to account
for overlap with the Shared Savings
Program and other models, including
those listed in Table 24 as well as other
CMS models or programs.
The following is a summary of the
comments received and our responses.
Comment: A commenter requested
that CMS not limit providers from
developing and implementing other
episode-based payment models while
participating in the CJR model.
Response: We clarify that we have not
included any limitations on
participation in future or current models
through this final rule. In addition, we
have included the policies in this
section in order to allow for CJR
hospitals to participate in other models
and initiatives concurrently with the
CJR model.
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b. CJR Beneficiary Overlap With BPCI
Episodes
BPCI is an episode payment model
testing LEJR episodes, as well as 47
other episodes, in acute or PAC or both
settings (Models 1, 2, 3 or 4). As
discussed in section III.A. of the
proposed rule, we proposed to exclude
from selection for participation in the
CJR payment model those geographic
areas where 50 percent or more of LEJR
episodes are initiated at acute care
hospitals testing the LEJR episode in
BPCI in Models 1, 2 or 4 as of July 1,
2015. In that same section, we proposed
that acute care hospitals in selected
geographic areas participating in BPCI
under Model 1 (acute care only) and
those participating as episode initiators
for the LEJR episode in Model 2 (acute
and PAC from 30 to 90 days postdischarge) or Model 4 (prospective
episode payment for the LEJR anchor
hospitalization and related readmissions
for 30 days post-discharge) be excluded
from CJR. We discuss the comments
received on this proposal and our
responses in section III.A.4. of this final
rule.
While we believed these proposals
will mitigate the overlap of CJR
beneficiaries with BPCI episodes, there
may still be instances of model overlap
that we need to account for under CJR.
These include circumstances when a
beneficiary is admitted to a CJR
participant hospital for an LEJR
procedure where the beneficiary would
also be in a BPCI Model 2 episode under
a PGP that would initiate the episode
under BPCI. In another example, a
beneficiary discharged from an anchor
hospitalization under CJR could enter a
BPCI Model 2 LEJR episode at another
hospital for a phased second joint
replacement procedure or enter a BPCI
Model 3 LEJR episode upon initiation of
PAC services at a BPCI PAC provider
episode initiator for the LEJR episode.
Similarly, a beneficiary in a BPCI Model
2 or Model 3 LEJR episode could be
admitted to a CJR participant hospital
for a phased second joint replacement.
In all such scenarios in which there is
overlap of CJR beneficiaries with any
BPCI LEJR episodes, we proposed that
the BPCI LEJR episode under Models 1,
2, 3, or 4 take precedence and we would
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cancel (or never initiate) the CJR
episode. Because the cancelation (or
lack of initiation) would only occur for
overlap with BPCI LEJR episodes, we
expect that the participant hospital and
treating physician would generally be
aware of the beneficiary’s care pathway
that would cancel or not initiate the CJR
episode. Therefore, we would exclude
the CJR episode from the CJR participant
hospital’s reconciliation calculations
where we compare actual episode
payments to the target price under the
CJR model. If we were to allow both CJR
and BPCI LEJR episodes to overlap, we
would have no meaningful way to apply
the payment policies in two models
with overlapping care redesign
interventions and episodes. Participants
in BPCI have an expectation that eligible
episodes will be part of the BPCI model
test, whereas CJR participants would be
aware that episodes may be canceled
when there is overlap with BPCI
episodes as previously discussed in this
final rule. We aim to preserve the
integrity of ongoing model tests without
introducing major modifications (that is,
CJR episode precedence) that could
make evaluation of existing models
more challenging. We considered that
there may also be instances of overlap
between CJR and BPCI Model 3 LEJR
episodes where our proposal to give
precedence to all BPCI episodes could
lead to undesirable patient steering
because the BPCI Model 3 episode does
not begin until care is initiated at an
episode-initiating PAC provider. It
could be possible for a participating CJR
hospital to purposefully guide a
beneficiary to a BPCI Model 3 LEJR
episode initiating PAC provider to
exclude that beneficiary’s episode from
CJR. We considered giving precedence
to the CJR episode in overlap with
Model 3 beneficiaries because the CJR
episode begins with admission for the
anchor hospitalization and thus
includes more of the episode services.
However, we believed the steering
opportunities would be limited due to
the preservation of beneficiary choice of
provider in this model (as discussed in
section III.E. of the proposed rule). As
outlined in section III.F. of this final
rule, CJR hospitals must provide
patients with a complete list of all
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available PAC options. Moreover, BPCI
Model 3 PAC providers are actively
involved in the decision to admit
patients to their facilities. As episode
initiators in BPCI, such providers are
subject to monitoring and evaluation
under that model and would be vigilant
about not engaging in steering
themselves or spurred by other
providers. Nevertheless, we will
monitor CJR hospitals to ensure steering
or other efforts to limit beneficiary
access or move beneficiaries out of the
model are not occurring (see section
III.F.).
We sought comment on the proposed
approach to address overlap between
CJR and BPCI episodes. The following is
a summary of the comments we
received and our responses.
Comment: Many commenters
supported the proposal to apply
precedence rules that attribute episodes
to BPCI PGPs and PAC providers in
cases of overlap with CJR. Commenters
noted the significant investment PGPs
and PAC providers have made in BPCI
and a desire for these entities to
continue engagement in care redesign
under BPCI. A commenter noted that for
many providers, 3-year participation in
BPCI will expire near the time when CJR
begins requiring participant hospitals to
accept full financial responsibility for
episode spending. The commenter
believes it would not be appropriate to
change the episode precedence rules for
BPCI providers prior to the conclusion
of providers’ 3-year BPCI participation,
as attributing Model 2 and Model 3 PGP
and PAC LEJR episodes to CJR in lieu
of BPCI could create confusion.
Commenters also requested that CMS
provide additional clarification of a
number of potential scenarios beyond
those addressed in the proposed rule.
Some commenters disagreed with our
proposed policy to apply precedence to
BPCI Model 2 and Model 3 PGPs and
PAC providers. Commenters contended
that the proposed policy was unfair,
given that BPCI participants entered
models voluntarily, but hospitals in CJR
were not given the opportunity to opt
out and would be at risk for episodes
where others did not perceive enough
opportunity to voluntarily enter into
risk agreements under BPCI.
Commenters expressed concern that,
given the precedence rules, CJR
hospitals could potentially lose many
episodes to BPCI and may be financially
responsible for a low volume of
episodes. Some commenters also
suggested we apply a minimum
threshold to remove hospitals from the
CJR model based on BPCI PGP
participation.
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A commenter disagreed with the
proposal for BPCI PAC entities at risk
for a shorter episode duration than the
CJR proposed episode to be given
precedence. Another commenter cited
the potential for patient steering issues
that could arise due to our proposed
policy to give BPCI PGPs precedence
over CJR hospitals for LEJR episodes. In
particular, the commenter was
concerned that the precedence rules
would lead to BPCI PGPs capturing
lower-risk episodes, leaving CJR
hospitals at risk for more high-risk
episodes. The commenter suggested we
give precedence to CJR episodes over
BPCI PGP and PAC episodes to mitigate
steering concerns.
Another commenter was concerned
about potential confusion when
episodes initiated at the same acute care
hospital could be in both models; for
example, when episodes initiated by a
BPCI PGP at a hospital or discharged to
a Model 3 PAC are attributed to BPCI
while the remaining episodes are a part
of CJR. The commenter believed that
following both sets of rules (for the BPCI
and CJR models) within the same
hospital could be confusing for
hospitals and partner providers and
suppliers, limiting providers’ ability to
target care redesign efforts toward
patients for whom a CJR hospital is
financially responsible. Another
commenter requested CMS publish a
public list of BPCI episode initiators
whose episodes would take precedence
over CJR episodes.
Response: We agree with commenters’
assertion that maintaining participation
in the voluntary BPCI models and
recognizing the significant investments
in care redesign and care coordination
already made by BPCI participants is
important. BPCI participants have an
agreement with CMS and in some cases
have already been participating in the
voluntary BPCI initiative for several
years.
In response to commenters’ requests
for additional examples of overlap
scenarios, we clarify that LEJR overlap
could occur in, but is not limited to, the
following situations:
• A beneficiary is admitted to a CJR
hospital for an LEJR procedure and
discharged to a PAC provider
participating in BPCI Model 3 for the
LEJR episode; the episode is attributed
to the BPCI Model 3 PAC provider.
• A beneficiary is admitted to a CJR
hospital for an LEJR procedure by a PGP
participating in BPCI Model 2; the
episode is attributed to the BPCI Model
2 PGP.
• A beneficiary is admitted to a CJR
hospital for an LEJR procedure by a PGP
participating in BPCI Model 3; the
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episode is attributed to the BPCI Model
3 PGP.
• A beneficiary is admitted to a CJR
hospital for an LEJR procedure,
followed by a second phased LEJR
procedure within 90 days of the first
procedure. The second LEJR procedure
is attributed to a PGP participating in
BPCI Model 2 or 3 or is followed by
admission to a PAC provider
participating in BPCI Model 3 for the
LEJR episode. The first LEJR episode
would be canceled and the second
episode would be attributed to the BPCI
provider.
We acknowledge that some CJR
hospitals could be financially at risk for
a small proportion of LEJR episodes
initiated at the hospital if there are highvolume PGPs or PAC providers in their
community initiating LEJR episodes
under BPCI, yet we continue to believe
those hospitals have opportunity under
the CJR model. Physicians and PAC
providers may already have worked on
care redesign for LEJR beneficiaries, and
the hospitals have an opportunity to
learn from that experience. Having a
smaller number of beneficiaries in the
CJR model to begin with also places
hospitals at less financial risk, which
may allow them to more rapidly and
nimbly design care pathways, test them,
and refine them on a smaller number of
beneficiaries and with less resources
than if all of the hospital’s LEJR
beneficiaries were in the CJR model
from the start. We also note that, given
that many providers’ 3-year
participation in BPCI would end in 2017
or 2018, in many cases full financial
responsibility for all of a participant
hospital’s LEJR procedures under the
CJR model would not be in effect until
the conclusion of the BPCI participation
period when the CJR participant
hospitals could have responsibility for a
larger number of episodes. By that point
in time, CJR participant hospitals
should have several years of experience
with LEJR episodes focusing on quality
and efficiency, and the larger number of
beneficiaries can then be integrated into
existing pathways.
While we understand the concerns of
some commenters that physician and
PAC providers participating in BPCI
will focus on low-risk beneficiaries,
leaving higher-risk beneficiaries to be
the participant hospital’s responsibility
under the CJR model so that the CJR
model beneficiaries in a performance
year will not resemble those in the
baseline period used to set target prices,
there are a number of model design
features that make this unlikely. First, as
discussed in section III.C.4.b.(1) of this
final rule, we are stratifying episodes on
the basis of a beneficiary’s hip fracture
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status, a major factor related to highercost episodes, so that CJR model
participant hospitals will be
appropriately paid for higher-risk
beneficiaries with hip fractures. Second,
we will be monitoring for access to care
and delayed care as discussed in section
III.F. of this final rule as well as under
BPCI, and examining the CJR model for
unintended consequences such as
adverse selection of patients and
inappropriate referral practices in the
evaluation as discussed in section IV. of
this final rule. Section III.C.12. of this
final rule also details our enforcement
mechanisms for the CJR model.
We appreciate commenters’
contention that allowing for both
models to coexist for LEJR episodes
within the same acute care hospital may
be confusing for providers. However, we
believe the importance of continuing
PGP and PAC participation in BPCI
Models 2 and 3 outweighs this risk, and
believe that local providers, in the best
interest of Medicare beneficiaries and
cost and quality success under the two
models, will coordinate and collaborate
to respond to their circumstances. We
also note that while the BPCI and CJR
models differ in various ways, the broad
goals of the models are the same:
Improving quality of care while
reducing spending during the episode.
We believe it is reasonable for hospitals,
PGPs, and PAC providers to engage in
care redesign strategies targeted at LEJR
episodes in general, regardless of
attribution of an LEJR episode to a
particular model. Such overlap within
the same hospital may incentivize
additional coordination between the
entities already engaged in care redesign
under BPCI and acute care hospitals that
will begin such activities as participants
in CJR.
In response to the commenter who
requested a list of BPCI episode
initiators, we refer readers to the
publicly available list of current episode
initiators in BPCI on the model Web site
at https://innovation.cms.gov/initiatives/
Bundled-Payments/ParticipatingHealth-Care-Facilities/.
Final Decision: After consideration of
the public comments received, we are
finalizing our proposal, without
modification, to apply precedence to
BPCI Model 2 and Model 3 PGP and
PAC provider LEJR episodes.
Specifically, if at any time during a
beneficiary’s CJR LEJR episode, that
beneficiary would also be in a BPCI
Model 2 or Model 3 LEJR episode, the
beneficiary’s CJR episode would either
not be initiated or would be canceled
such that it would not be included in
the participant hospital’s CJR
reconciliation where actual episode
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spending is compared to the target
price.
Comment: Many commenters
requested that CMS apply precedence
rules in cases of CJR and BPCI non-LEJR
overlap. Some commenters requested
that BPCI non-LEJR episodes would
have precedence in the case of overlap
between a BPCI non-LEJR episode and
a CJR LEJR episode, while others
requested that CJR have precedence.
Commenters stated that there was no
way to fairly attribute savings between
the two models in such scenarios, if
CMS allows for overlap between CJR
and BPCI non-LEJR episodes as
proposed. A commenter stated that it
would not be possible to comment on
which model should have precedence
(CJR or BPCI) due to ambiguity about
which model would be more prevalent
or expanded in the future; another
commenter shared this view, but stated
that its opinion on which model should
have precedence was dependent upon
the specific financial arrangements and
waivers finalized for the CJR model.
Response: We appreciate the feedback
and request for clarification on whether
BPCI or CJR episode would have
precedence when the same beneficiary
could be in a CJR model episode and a
BPCI non-LEJR episode for an
overlapping period of time. We clarify
that we did not propose a calculation to
attribute savings between the two
models when concurrent episodes
occur. We proposed that each model
would continue to perform financial
reconciliation activities as usual. We
also believe such overlap situations will
be relatively rare, given that many LEJR
procedures are elective and would only
be furnished when a physician
determines it is clinically appropriate
for a beneficiary to undergo a major
surgery. We believe a beneficiary
undergoing an LEJR procedure in close
proximity to an inpatient
hospitalization for another condition
will be an infrequent occurrence.
Applying precedence rules could
introduce confusion for providers
participating in BPCI for non-LEJR
episodes and in the CJR model. For
example, if a CJR hospital could
retrospectively have an LEJR episode
canceled if the beneficiary is readmitted
to another hospital and initiates a BPCI
episode for a non-LEJR episode such as
congestive heart failure, the CJR hospital
could be generally unaware of the
beneficiary’s care pathway.
As we noted in the proposed rule, we
believe that where there is overlap
between BPCI and CJR LEJR episodes,
providers would generally be aware of
such situations. For example, BPCI
PGPs and PAC providers would be
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aware that a PGP initiating an LEJR
episode at a CJR hospital, or an
admission to a PAC facility in BPCI
Model 3 would cancel the CJR episode.
CJR hospitals could maintain a list of
BPCI participants in their area. In
contrast, if we allow any BPCI non-LEJR
episode to cancel all CJR episodes, CJR
hospitals may not be aware of the
beneficiary’s eventual care pathway. For
example, CJR hospitals may be unaware
of cases in which the CJR LEJR episode
is canceled and the non-LEJR BPCI
episode takes precedence because a
wide range of BPCI clinical episodes
and provider types could cancel the CJR
episode during the 90 day postdischarge period.
We expect such cases of overlap to be
rare given current BPCI participation
and the participant CJR model hospitals.
We also reiterate that when such
overlap occurs, each model (BPCI and
CJR) would continue its normal
financial reconciliation processes. When
overlap occurs, it is possible that
savings achieved during one model
could also be counted as savings under
the other model. In such cases it could
be difficult to determine whether
savings achieved during an episode
were attributable to care redesign
activities under BPCI or CJR. However,
allowing for overlap between BPCI nonLEJR and CJR episodes will maximize
the testing of episodes under both
models and encourage providers under
BPCI and CJR to engage in care redesign
and coordination activities for all
beneficiaries attributed to either model.
The following examples illustrate
potential situations of overlap:
• A beneficiary is admitted to a CJR
hospital for an LEJR procedure and later
readmitted to the same or a different CJR
hospital for a congestive heart failure
episode under BPCI.
• A beneficiary is in a BPCI PGP
Model 2 episode for chronic obstructive
pulmonary disease at a CJR hospital and
has an LEJR procedure at the same or a
different CJR hospital during the postanchor hospital discharge period of the
BPCI episode.
In both situations, each model would
calculate episode spending and perform
financial reconciliation as normal.
Summary of Final Decisions: After
consideration of the public comments
received, we are finalizing our proposal,
without modification, to apply
precedence to BPCI Model 2 and Model
3 PGP and PAC LEJR episodes. By
precedence, we mean that if for any
portion of CJR model episode, a
beneficiary would also be in a BPCI
LEJR episode under Model 2 or Model
3, we will cancel (or never initiate) the
CJR episode. We refer readers to III.B.3.
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for further discussion of the
circumstances under which CJR
episodes will be canceled. We are also
finalizing the proposal, without
modification, to allow for overlap
between the period of time in which a
beneficiary is in a CJR episode and a
BPCI non-LEJR episode.
c. Accounting for CJR Reconciliation
Payments and Repayments in Other
Models and Programs
Under CJR, we proposed to annually,
as applicable, make reconciliation
payments to or receive repayments from
participating CJR hospitals based on
their quality performance and Medicare
expenditures, as described in section
III.C.6. of the proposed rule. While we
proposed that these reconciliation
payments or repayments would be
handled by MACs, the calculation of
these amounts would be done separately
before being sent through the usual
Medicare claims processing systems.
Nevertheless, it is important that other
models and programs in which
providers are accountable for the total
cost of care be able to account for the
full Medicare payment, including CJRrelated reconciliation payments and
repayments as described in section
III.C.6. of the proposed rule, for
beneficiaries who are also in CJR
episodes. Accordingly, it is necessary to
have beneficiary-specific information on
CJR-related reconciliation payments and
repayments available when those
models and programs make their
financial calculations. Thus, in addition
to determining reconciliation payments
and repayments for the participant
hospitals in the CJR model, we proposed
to also calculate beneficiary-specific
reconciliation payment or repayment
amounts for CJR episodes to allow for
those other programs and models, as
their reconciliation calculation
timeframes permit, to determine the
total cost of care for overlapping
beneficiaries. We would perform the
reconciliation calculations for CJR
hospitals and make information about
the CJR reconciliation or repayment
amounts available to other programs
and models, such as the Shared Savings
Program and Pioneer ACO as well as
non-ACO total cost of care models such
as CPCi and OCM that begin
reconciliation calculations after CJR. For
example, this strategy is currently in
place to account for overlaps between
beneficiaries assigned or aligned to
Pioneer and Shared Savings Program
ACOs and BPCI model beneficiaries.
Beneficiary-specific reconciliation
payment or repayment amounts are
loaded into a shared repository for use
during each program or model’s
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respective reconciliations. However, we
note that we proposed not to make
separate payments to, or collect
repayments from, participating CJR
hospitals for each individual episode,
but, instead, to make a single aggregate
reconciliation payment or repayment
determination for all episodes for a
single performance year, as discussed in
section III.C.6. of the proposed rule. As
described in section III.C.6 of the
proposed rule, we proposed to conduct
reconciliation based on claims data
available 2 months after the end of the
performance year and a second
calculation based on claims data
available 14 months after the end of a
performance year to account for claims
run-out and potential overlap with other
models. The rationale for this proposed
reconciliation process was to be able to
make payments to, and require
repayment from, CJR participant
hospitals in a timely manner and to be
able to account for overlaps in other
models and programs. In addition, the
timing of the reconciliation was
determined giving consideration to
when the other total cost of care
programs and models conduct their
reconciliations so that when they
perform their financial calculations,
they will have the information
necessary to account for beneficiaryspecific payments/repayments made
under the CJR model as it is consistent
with their policies. We intend to report
beneficiary-specific payments and
repayment amounts made for the CJR
model in the CMS Master Database
Management (MDM) System that
generally holds payments/repayment
amounts made for CMS models and
programs. Other total cost of care
models and programs can use the
information on CJR payment/repayment
amounts reported in the Master
Database Management System in their
financial calculations such as in their
baseline or benchmark calculations or
reconciliations, to the extent that is
consistent with their policies.
We sought comment on our proposed
approach to ensuring that the full CJR
episode payment for a beneficiary is
accounted for when performing
financial calculations for other total cost
of care and episode-based payment
models and programs. The following
comments and responses refer to the
implications of our proposal to ensure
other models are able to account for the
full CJR episode payment, including any
reconciliation payment or repayment
amount. As discussed later in this
section, many commenters expressed
concern about how this policy would
affect ACO financial calculations.
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Because total cost of care models and
programs, including the Shared Savings
Program and other ACO models, would
include the full CJR episode payment
(that is, including any reconciliation or
repayment amounts) in their annual
financial calculations determining the
total spending for a beneficiary, most of
the savings achieved during a CJR
episode would be attributed to the CJR
model. As discussed in section III.C.7.e.
of this final rule, in some select cases
the savings amount represented by the
discount percentage could be attributed
to a Shared Savings Program or other
ACO model entity.
The following is a summary of
comments received and our response.
Comment: Commenters did not offer
feedback on the implications of the
proposed policy on overlap with nonACO total cost of care models.
Commenters generally supported the
proposal to attribute episode savings to
the CJR model when the CJR hospital is
aligned to an ACO as a participant or
provider/supplier. However, several
commenters expressed concern about
the proposed policy, requesting that
savings earned during an episode (that
is, any reconciliation payments) be fully
attributed to the ACO—by not
accounting for reconciliation payments
in determining Medicare spending for
an ACO’s assigned beneficiaries—when
the ACO and CJR participant hospital
are unrelated. These commenters
claimed that attributing savings to the
ACO in such cases is important for the
following reasons: Ensuring ACOs are
able to earn savings during a CJR
episode in some situations, supporting
population-based health models, not
penalizing providers already taking on
risk, and testing a different method of
overlap from the BPCI initiative. Several
commenters stated that attributing
savings to the CJR episode, regardless of
whether the ACO and CJR hospital are
related, would make ACOs unable to
earn savings during any CJR episode
and could erode the Shared Savings
Program over the long-term as episodebased payment models grow. A
commenter also asserted that the
proposed policy could result in
increased utilization of LEJR procedures
in lieu of less costly clinical
interventions.
Response: We thank commenters for
their feedback and engagement on the
issue of how to attribute savings among
various models and programs when
overlap occurs. We also appreciate
commenters’ support for the proposal to
attribute savings to the CJR episode
when the CJR hospital is aligned to the
ACO as a participant or provider/
supplier.
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In response to commenters who
requested that we fully attribute savings
achieved (represented by reconciliation
payments) during CJR episodes to the
ACO in cases where a beneficiary is
assigned to an ACO and initiates a CJR
episode at a hospital that is not aligned
to the ACO as a participant or provider/
supplier, we decline to diverge from the
approach we have taken in other
episode payment models because we
wish to maintain consistency and
because such a change would be
unworkable, as we discuss later in this
section. There are several ways in which
CMS potentially could attribute savings
achieved during a CJR episode to the
ACO in lieu of the CJR hospital, but
after considering them, we have
concluded that each option has farreaching and undesirable implications
for the policies and operations of both
the CJR model and ACOs. The first
option would involve making the ACO
to which a beneficiary is assigned the
financially responsible entity for the CJR
episode so that reconciliation payments
or repayments would ultimately be the
responsibility of the ACO. To
accomplish this, we would need to
determine a way to make the
reconciliation payment to or request the
repayment amount from the unrelated
CJR hospital on behalf of the ACO. This
would mean that the CJR hospital would
need to have a financial arrangement
with the unrelated ACO to pay the ACO
the reconciliation payment or the ACO
would need to pay the CJR hospital if
payment is due to Medicare. Under this
approach, it would be necessary to
conduct a separate reconciliation
process for beneficiaries attributed to
the unrelated ACO and another
reconciliation for all other beneficiaries
with CJR episodes. This would disrupt
our approach to the financial
protections discussed in section III.C.8.
of this final rule—that is, stop-loss and
stop-gain, which are intended to apply
to all of a CJR hospital’s episodes,
because we would need to apply those
thresholds separately to the episodes
attributed to the unrelated ACO. We
believe this, in turn, would be confusing
for participant hospitals. We note that
this is distinct from our policy to report
beneficiary-specific reconciliation
amounts in the MDM, as previously
discussed in this section, which would
occur after performing the reconciliation
calculations and applying the stop-loss
and stop-gain thresholds for a given
hospital across all of its aggregated
episodes.
A second approach would be for all
models or programs (CJR and the Shared
Savings Program or other ACO) to
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conduct reconciliation activities for all
beneficiaries as normal. The attribution
of savings for those CJR beneficiaries
assigned to an unrelated ACO could be
accounted for through the subsequent
reconciliation through the following
process. Reconciliation payments could
be recouped from CJR participant
hospitals and paid to the ACOs in cases
where a beneficiary was assigned to an
ACO and had a CJR episode at an
unrelated CJR hospital. However, we
decline to adopt this approach because
it would introduce significant
uncertainty for CJR participant hospitals
and could cause large fluctuations in
reconciliation and repayment amounts
between the initial reconciliation and
subsequent calculation. Additional
policies would also need to be adopted
in order to ensure the financial
reconciliation activities for the CJR
model and the Shared Savings Program
or shared savings models are able to
account for such transactions, including
further coordination of reconciliation
timelines and policies to account for the
subsequent reconciliation calculations.
At present, we have not made any
proposals for such types of financial
arrangements between the initiatives
that would allow for such transactions.
A final option would be to cancel (or
never initiate) a CJR episode for any
beneficiary assigned to an unrelated
ACO. Beneficiaries assigned to such
ACOs would need to be excluded from
CJR financial reconciliation
calculations. Implementing such a
policy would be challenging, given our
plan to conduct CJR reconciliation
activities prior to ACO financial
reconciliations, in which ACOs finalize
their list of assigned beneficiaries. It
would not be possible to finalize a list
of CJR episodes or beneficiaries until
after the ACO models or the Shared
Savings Program, as applicable, had
completed their financial
reconciliations. Additionally, CJR
participant hospitals would not know
until well after episodes were
completed whether the hospital was
actually responsible for a particular
beneficiary’s episode under the CJR
model. While we note that in some
cases a CJR episode could be canceled
for other reasons, such as precedence for
a BPCI PGP episode as discussed in
III.C.7.b, in such cases we believe that
CJR hospitals will generally be aware of
the possibility of episode cancelation
due to BPCI precedence. For example, a
CJR hospital may be aware that any time
a given PGP furnishes an LEJR
procedure to a Medicare beneficiary in
the CJR hospital, that beneficiary will
most likely be in a BPCI, not CJR,
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episode. In contrast, the uncertainty of
final ACO assignment lists prior to the
CJR reconciliation activities could lead
to significant unanticipated changes in
episode attribution. In addition, the
high volume of potential CJR episodes
that would be canceled under this
approach could potentially limit the
scope of the CJR model test. As
discussed in section I.A. of this final
rule, CJR is intended to be a robust test
of episode payment across many types
of hospitals.
Because this approach is generally
inconsistent with our proposals for the
CJR model, we decline to adopt it. In
addition, if CMS were to pursue a policy
for attributing CJR model episode
savings to an ACO in lieu of to the CJR
hospital, the ACO—not the hospital—
would become the risk-bearing entity for
some beneficiaries (those assigned to the
ACO), which is inconsistent with our
stated policy in section III.A.2. of this
final rule to designate hospitals as
financially responsible for all CJR
episodes. As discussed in detail in
section III.A.2. of this final rule, we
believe hospitals are the most
appropriate entities to manage the care
and financial responsibility for CJR
episodes. CJR hospitals could be
unaware that beneficiaries are assigned
to an ACO, given that their episodes
would be canceled or attributed to the
ACO only in cases where the CJR
hospital is not participating in the ACO.
Given the significant complexity such
a change would introduce, and the
changes in other CJR model and ACO
policies and operations that would be
required to implement such a change
(such as CJR model reconciliation
processes, application of financial
protections for hospitals, and financial
arrangements), we continue to believe it
is most appropriate, consistent with the
policies of both the CJR model and the
Shared Savings Program and other ACO
models, and operationally feasible to
attribute savings achieved during a CJR
episode (that is, reconciliation
payments) to the CJR model in all cases.
Doing so also attributes these savings to
the episode that is most proximate to
the beneficiary’s care during an LEJR
episode. We refer readers to section
III.C.7.e. of this final rule for discussion
of the CJR discount percentage and
attribution of the savings represented by
the discount percentage.
We do not agree that our proposal to
attribute savings achieved during CJR
episodes via reconciliation payments to
the CJR participant instead of the ACO
incentivizes overutilization of LEJR
procedures, penalizes providers taking
on risk, or harms population-based
health models. First, as discussed in
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section III.F.2. of this final rule, we
believe that the usual tools employed by
CMS including data analysis, the
process of tracking patterns of
utilization and trends in the delivery of
care, and medical review, a clinical
audit process by which we verify that
services paid by Medicare were
reasonable and necessary in accordance
with section 1862(a)(1)(A) of the Act,
will help to ensure that LEJR procedures
under the CJR model are reasonable and
necessary. Second, ACOs will be
assured of predictable spending (at the
amount of the target price, which would
in all cases reflect a discount off total
spending that would have occurred
absent the CJR model) for care provided
during CJR episodes, as opposed to the
uncertainty of spending for beneficiaries
not included in CJR episodes. Although
ACOs may estimate they can achieve
more savings for these beneficiaries’
episodes than the discount factor
reflected in the CJR model target price,
higher savings are not certain. ACOs
will continue to have savings
opportunities for CJR model
beneficiaries during the other 9 or so
months of the ACO’s performance year,
as well as for unrelated services
throughout the CJR model episode. This
also holds true for the BPCI episodes
currently in testing, which include 48
surgical and medical episodes, many of
them far less frequent and with less
predictable costs than the LEJR episodes
in the CJR model. Finally, the
population health focus of ACOs will
continue to be valuable as it is much
broader than the CJR model, with great
potential for improving the overall
health of Medicare beneficiaries and
reducing costs. For example, the CJR
model begins with admission to the
inpatient hospital for the LEJR
procedure, yet the underlying clinical
condition for beneficiaries undergoing
elective THA or TKA is most likely to
be long-standing osteoarthritis.
Evidence-based conservative
management of this condition may
delay the THA or TKA or eliminate the
need for it altogether, in which case a
CJR model episode would never occur.
The same concept holds true for all of
the episode payment models currently
in testing that are focused around an
inpatient hospitalization. An ACO’s
expertise and skill in population health
care management may sharply reduce
the need for inpatient hospitalization,
resulting in substantial direct savings to
the ACO and no initiation of an episode
under an episode payment model.
Coexistence of episode-based
payment models and ACOs may lead to
improved care redesign and
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coordination strategies, and ultimately,
improved quality of care for
beneficiaries. While episode-based
payment models such as the CJR model
target care during a relatively short time
span, models incorporating the total
cost of care over a longer time period
such as ACOs focus on population
health and strategies to improve care
coordination across the entire spectrum
of care. In order to achieve the agency’s
goals of better care, smarter spending,
and healthier people, CMS must engage
providers in a variety of models and
rigorously evaluate the results of such
models and programs in order to
identify specific care redesign strategies
and payment mechanisms that are
effective in reaching these goals. An
important feature of such testing and
evaluation is also understanding how
various models or programs work
alongside other initiatives. For this
reason, we believe it is appropriate for
CMS to allow for the coexistence of
various initiatives such as episodebased payment models and ACOs.
Doing so will provide robust
information on the results of each
model, including information on how
particular payment structures fare
across a variety of regions and in
markets with varying levels of provider
participation in other models.
In addition, we note that although
there are important structural
differences between initiatives such as
CJR and the Shared Savings Program or
other ACO models, the underlying goals
are the same. Both CJR and the ACO
initiatives target improved quality of
care and reduced spending during a
defined period of time. Over time,
provider organizations participating in
one or both types of models will
continue to find ways to work together
to better coordinate care for
beneficiaries, improve clinical
efficiencies and reduce unnecessary
utilization of health care services, and
succeed financially under various types
of payment models and programs.
Finally, while we appreciate
commenters’ suggestion that we test a
different method for overlap with ACOs
than that used for the BPCI initiative,
we do not intend to test a different
savings attribution method at this time.
Both BPCI and the CJR model share the
common episode-initiating event of an
inpatient hospitalization and, in the
case of each of these models as
designed, we have concluded that the
same savings attribution policy is
appropriate. As we develop other
episode payment models in the future
and consider the potential for expansion
of successful episode payment models,
we will consider the perspectives
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offered by the commenters on the CJR
model in the design of those models as
we develop overlap policies or consider
changes to existing policies.
For the reasons previously stated, we
are finalizing our proposal to attribute
savings achieved (via reconciliation
payments) during CJR episodes to CJR
participant hospitals. We refer readers
to section III.C.7.e. of this final rule for
discussion of the attribution of savings
for the CJR discount percentage.
Comment: A commenter requested
that CMS not account for overlap
between models by including
reconciliation payments or savings
amounts from one model in the
financial calculations for another model.
The commenter asserted that any double
counting of savings would be offset by
compounded efficiencies and clinical
integration.
Response: We agree with the
commenter that the coexistence of
various models and programs is likely to
result in compounded efficiencies and
clinical integration. However, under all
models and programs we believe it is
important that Medicare Trust Fund
payments made on behalf of
beneficiaries be accounted for to the
extent feasible and that CMS not pay
back savings that should be maintained
by the Medicare program. We are
finalizing various policies, as outlined
elsewhere in this section, to minimize
the double payment of savings achieved
during CJR episodes and under other
models and programs. In addition, we
note that under the Shared Savings
Program regulations at 425.604(a)(6)(ii),
CMS considers all Part A and B
expenditures, including payments made
under a demonstration or model. Given
that CJR reconciliation payments are
made from the Trust Funds, and can be
attributed to a particular assigned
beneficiary, the Shared Savings Program
regulations require that such payments
be taken into account for the calculation
of shared savings or losses.
Comment: Several commenters
requested that CMS provide CJR
hospitals with a list of beneficiaries
prospectively aligned to ACOs.
Commenters stated that such
information would aid participants in
both CJR and the model or program.
Response: We appreciate the
commenters’ suggestion. However,
providing such a list to CJR participants
could potentially lead to patient
steering. Because we expect hospitals
and other providers and suppliers to
engage in care redesign activities under
both an ACO model or the Shared
Savings Program and the CJR model, it
would not be appropriate to create
incentives for providers and suppliers to
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treat beneficiaries differently based on
ACO alignment status.
Comment: Numerous commenters
requested that CMS allow for Shared
Savings Program ACOs or other current
or future ACOs participating in riskbearing ACO models (such as under the
Next Generation ACO model) to opt out
of the CJR model for beneficiaries
aligned to those ACOs. Several
commenters suggested allowing Track 2
or Track 3 Shared Savings Program
ACOs that had achieved savings in
previous performance years to opt out of
the CJR model for their aligned
beneficiaries.
Response: As previously discussed,
we believe it is possible and desirable
for the multiple CMS programs and
models to coexist. We also believe the
coexistence of episode-based payment
models and total cost of care models
such as ACOs can lead to increased
efficiencies for both initiatives and
additional coordination among
providers. As discussed in section III.A.
of this final rule, we do not believe it
would be appropriate to allow ACOs to
opt their aligned hospitals out of the CJR
model. Such a policy could significantly
diminish the number of participants in
the CJR model, eroding our ability to
evaluate the CJR model. As discussed in
section I.A. of this final rule, CJR is
intended to test the effect of episode
payment across a variety of hospitals.
Significantly limiting the scope of the
model by allowing ACOs to opt their
hospitals out of participation in CJR
would impact our ability to achieve the
goals of the model.
Comment: A commenter requested
that if precedence is not given to Shared
Savings Program ACOs for savings
arising from CJR episodes initiated at
unrelated hospitals, CMS should require
CJR hospitals to sign agreements with
ACOs in the same MSA to coordinate
care for such beneficiaries. The
commenter suggested such mandated
agreements include specific
requirements for the CJR hospital to
coordinate a beneficiary’s care, such as
documented use of clinical practice
guidelines and a care plan.
Response: Requiring this type of
agreement would be inappropriate at
this time because it is inconsistent with
current CMS policies and practices.
While we offer opportunities for
providers participating in models such
as CJR to enter into financial
arrangements with other providers and
suppliers and encourage model
participants to form clinical
partnerships or financial arrangements
with other providers and suppliers
where appropriate, we do not require
specific care coordination agreements or
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arrangements between entities
participating in different CMS models or
programs. For further information on
our policies regarding agreements and
relationships between providers and
suppliers coordinating care for
beneficiaries under the CJR model, we
refer readers to section III.C.10. of this
final rule for discussion of financial
arrangements under the CJR model.
Summary of Final Decisions: After
consideration of the public comments
we received, we are finalizing our
policy to make reconciliation and
repayment amounts under the CJR
model available to other models and
programs to include in their financial
reconciliation calculations.
This policy is set forth at § 510.305.
d. Accounting for PBPM Payments in
the Episode Definition
There are currently five CMS models
that pay PBPM payments to providers
for new or enhanced services as
displayed in Table 17. These PBPM
payments vary as to their funding
source (Medicare Trust Funds or
Innovation Center appropriation), as
well as to their payment methodology.
In general, these PBPM payments are
for new or enhanced provider or
supplier services that share the goal of
improving quality of care overall and
reducing Medicare expenditures for
services that could be avoided through
improved care coordination. Some of
these PBPM payments may be made for
services furnished to a beneficiary that
is in another Innovation Center model at
the that same time that the beneficiary
is in a CJR LEJR episode, but the clinical
relationship of services paid by the
PBPM payments to the CJR episode will
vary. For purposes of CJR, we consider
clinically related those services paid by
PBPMs that are for the purpose of care
coordination and care management of
any beneficiary diagnosis or hospital
readmission not excluded from the CJR
episode definition, as discussed in
section III.B.2. of this final rule.
We would determine whether the
services paid by PBPM payments are
excluded from the CJR episode on a
model by model basis based on their
funding source and clinical relationship
to CJR episodes. If we determine a
model’s PBPM payments are for new or
enhanced services that are clinically
related to the CJR episode and the PBPM
payment is funded through the
Medicare Part A or B Trust Fund, we
would include the services paid by the
PBPM payment to the extent they
otherwise meet the proposed episode
definition for the CJR model. That is, we
would include the clinically related
services paid by a PBPM payment if the
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services would not otherwise be
excluded based on the principal
diagnosis code on the claim, as
discussed in section III.B.2 of the
proposed rule. The PBPM payments for
clinically related services would not be
excluded from the historical CJR
episodes used to calculate target prices
when the PBPM payments are present
on Part A or Part B claims, and they
would not be excluded from calculation
of episode actual expenditures during
the performance period. PBPM model
payments that we determine are
clinically unrelated would be excluded,
regardless of the funding mechanism or
diagnosis codes on claims for those
payments. We note that in the case of
PBPM model payments, principal
diagnosis codes on a Part B claim
(which are used to identify exclusions
from CJR episodes, as discussed in
section III.B. of this final rule), would
not denote the only mechanism for
exclusion of a service from the CJR
episode. All such PBPM model
payments we determine are clinically
unrelated would be excluded as
discussed in this proposal. Finally, all
services paid by PBPM payments
funded through the Innovation Center’s
appropriation under section 1115A of
the Act would be excluded from CJR
episodes, without a specific
determination of their clinical
relationship to CJR episodes. We
believed including such PBPM
payments funded under the Innovation
Center’s appropriation and not included
on claims would be operationally
burdensome and could significantly
delay any reconciliation payments and
repayments for the CJR model. In
addition, because these services are not
paid for from the Medicare Part A or B
Trust Fund, we are not confident that
they would be covered by Medicare
under existing law. Therefore, we
believed the services paid by these
PBPM payments are most appropriately
excluded from CJR episodes. Our
proposal for the treatment of services
paid through model PBPM payments in
CJR episodes would pertain to all
existing models with PBPM payments,
as well as future models and programs
that incorporate PBPM payments. We
believed that this proposal is fully
consistent with our goal of including all
related Part A and Part B services in the
CJR episodes, as discussed in section
III.B.2. of the proposed rule.
Under this proposal, only one of the
active models displayed in Table 17
include services paid by PBPM
payments that would not be excluded
from CJR episodes. The MAPCP model
makes PBPM payments that are funded
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through the Trust Fund for new or
enhanced services that coordinate care,
improve access, and educate patients
with chronic illnesses. We expect these
new or enhanced services to improve
quality and reduce spending for services
that may have otherwise occurred, such
as hospital readmissions, and consider
them to be clinically related to CJR
episodes because the PBPM payments
would support care coordination for
medical diagnoses that are not excluded
from CJR episodes. Thus, we proposed
that services paid by PBPM payments
under the MAPCP model not be
excluded from CJR episodes to the
extent they otherwise meet the proposed
episode definition. While the OCM
model will pay for new or enhanced
services through PBPM payments
funded by the Medicare Part B Trust
Fund, we did not believe these services
are clinically related to CJR episodes.
The OCM model incorporates episodebased payment initiated by
chemotherapy treatment, a service
generally reported with ICD–9–CM and
ICD–10–CM codes that are specifically
excluded from the CJR episode
definition in section III.B.2. of this final
rule. We believed the care coordination
and management services paid by OCM
PBPM payments would be focused on
chemotherapy services and their
complications, so the services would be
clinically unrelated to CJR episodes.
Therefore, we proposed that services
paid by PBPM payments under the OCM
model be excluded from CJR episodes.
Similarly, we proposed to exclude
services paid by PBPM payments under
the Medicare Care Choices Model
(MCCM) from the CJR episode spending
calculations. The MCCM focuses on
providing care coordination and
palliative care services for beneficiaries
with certain conditions certified as
terminally ill with a life expectancy of
6 months or less that have not elected
the Medicare hospice benefit. The
MCCM seeks to test whether providing
palliative care services, without
beneficiaries having to forgo curative
care, incentivizes beneficiaries to elect
hospice sooner. This is aimed at
addressing the large percentage of
hospice beneficiaries who elect the
hospice benefit too late to fully benefit
from the range of services that hospice
has to offer at end of life. Since the
purpose of the MCCM is to test whether
providing palliative care services to
beneficiaries who are otherwise eligible
to elect the Medicare hospice benefit
without requiring the beneficiary to
forgo curative care results in
beneficiaries electing the hospice
benefit sooner, we are not including
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such payments in the CJR episode
spending calculations at this time. In
addition, unlike the regular hospice
benefits, which are furnished to
beneficiaries in lieu of curative care and
which therefore can be coordinated
during a LEJR episode, as described in
section III.B.2.b. of this final rule, the
services furnished under the MCCM
will be in addition to curative services.
We note that we are including such
curative services in the episode, as they
are consistent with our episode
definition described in III.B.2.of this
final rule, but not the services
represented by the PBPM, which are
provided in addition to curative
services. Beneficiaries electing the
hospice benefit could have lower
episode spending because they have
forgone curative care, however
beneficiaries included in the MCCM
may have higher episode spending
because they are receiving both curative
care and the services represented by the
PBPM. We do not want to create
incentives that deter providers from
enrolling beneficiaries in the MCCM
model. We note that Part A and Part B
services would be included in episodes
in both the historical and performance
periods used for spending calculations,
while the inclusion of PBPM payments
would only occur for those time periods
(historical and performance periods)
during which the relevant model was
active. Given that the MCCM was not
active during the CJR initial historical
period, if we were to include MCCM
PBPM payments they would only be
included in CJR performance period
spending calculations. Excluding
MCCM payments also ensures that we
do not incentivize providers to avoid
enrolling beneficiaries in the MCCM to
minimize the effect of the PBPM
payment amounts on episode spending
during CJR performance periods.
We acknowledge there may be new
models not included in Table 17 that
could incorporate a PBPM payment for
new or enhanced services. We would
plan to make our determination about
whether services paid by a new model
PBPM payment that is funded under the
Medicare Trust Funds are clinically
related to CJR episodes through the
same subregulatory approach that we
are proposing to use to update the
episode definition (excluded MS–DRGs
and ICD–10–CM diagnosis codes). We
would assess each model’s PBPM
payment to determine if it would be
primarily used for care coordination or
care management services for excluded
clinical conditions under the LEJR
episode definition for CJR based on the
standards we proposed to use to update
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the episode definition that are discussed
in section III.B.2 of the proposed rule.
If we determine that the PBPM
payment would primarily be used to
pay for services to manage an excluded
clinical condition, we would exclude
the PBPM payment from the CJR
episode on the basis that it pays for
unrelated services. If we determine that
the PBPM payment could primarily be
used for services to manage an included
clinical condition, we would include
the PBPM payment in the CJR episode
if the diagnosis code on the claim for
the PBPM payment was not excluded
from the episode, following our usual
process for determining excluded claims
for Part B services in accordance with
the episode definition discussed in
section III.C.2 of the proposed rule. We
would post our proposed determination
about whether the PBPM payment
would be included in the episode to the
CMS Web site to allow for public input
on our planned application of these
standards, and then adopt changes to
the overlap list with posting to the CMS
Web site of the final updated list after
our consideration of the public input.
We sought comment on our proposals
to account for Innovation Center model
PBPM payments under CJR.
The following is a summary of the
comments received and our responses.
Comment: A commenter supported
the proposal to exclude CPCi, OCM, and
MCCM PBPM payments and the
proposal to seek future public input on
PBPM payments that are clinically
related to CJR.
Response: We thank the commenter
for support of our proposal to exclude
CPCi, OCM, and MCCM PBPM
payments from CJR episode spending
calculations.
Final Decision: After consideration of
the public comments we received, we
are finalizing the proposed policy,
without modification, to include PBPM
payments that are funded with Trust
Fund dollars, if the services would not
otherwise be excluded under the model
episode definition. Included PBPM
payments would be included in CJR
model financial calculations only for
historical and performance periods
during which the model with a PBPM
is active and the PBPM is funded with
Trust Fund dollars.
This policy is set forth at § 510.200.
e. Accounting for Overlap With
Medicare Initiatives Involving Shared
Savings and Total Cost of Care Models
In addition to the Medicare Shared
Savings Program under section 1899 of
the Act, there are several ACO and other
Innovation Center models that make or
will make, once implemented, providers
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accountable for total cost of care over 6
to 12 months, including the Pioneer
ACO Model, Next Generation ACO
Model, Comprehensive ESRD Care
(CEC) Model, CPCi, OCM, and the
MAPCP Demonstration. Some of these
are shared savings models (or programs,
in the case of the Shared Savings
Program), while others do not involve
shared savings but still hold
participating providers accountable for
the total cost of care during a defined
episode of care, such as OCM. Note that
as discussed in section III.C.7.a. of this
final rule, ‘‘total cost of care’’ models
refer to models in which episodes or
performance periods include participant
financial responsibility for all Part A
and Part B spending, as well as some
Part D spending in select cases. Each of
these payment models holds providers
accountable for the total cost of care
over the course of an extended period of
time or episode of care by applying
various payment methodologies. In the
proposed rule, we stated our belief that
it is important to simultaneously allow
beneficiaries to receive care under
broader population-based and other
total cost of care models, as well as
episode payment models that target a
specific episode of care with a shorter
duration, such as CJR. Allowing
beneficiaries to receive care under both
types of models may maximize the
potential benefits to the Medicare Trust
Funds and participating providers and
suppliers, as well as beneficiaries.
Beneficiaries stand to benefit from care
redesign that leads to improved quality
for LEJR episodes of care even while
also receiving care under these broader
models, while entities that participate in
other models and programs that assess
total cost of care stand to benefit, at least
in part, from the cost savings that accrue
under CJR. For example, a beneficiary
receiving an LEJR procedure may
benefit from a hospital’s care
coordination efforts with regard to care
during the inpatient hospitalization.
The same beneficiary may be attributed
to a primary care physician affiliated
with an ACO who is actively engaged in
coordinating care for all of the
beneficiary’s clinical conditions
throughout the entire performance year,
beyond the 90-day post-discharge LEJR
episode.
We proposed that a beneficiary could
be in a CJR episode, as defined in
section III.B. of this final rule, by
receiving an LEJR procedure at a CJR
hospital, and also attributed to a
provider participating in a model or
program in Table 17. For example, a
beneficiary may be attributed to a
provider participating in the Pioneer
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ACO model for an entire performance
year, as well as have a CJR episode
during the ACO’s performance year.
Each model incorporates a
reconciliation process, where total
included spending during the
performance period or episode are
calculated, as well as any potential
savings achieved by the model or
program. Given that we proposed to
allow for such beneficiary overlap, we
stated our belief that it would be
important to account for savings under
CJR and the other models and programs
with potential overlap in order that
CMS can apply the respective
individual savings-related payment
policies of the model or program,
without attributing the same savings to
more than one model or program. In the
proposed rule, we stated our belief that
when overlap occurs, it is most
appropriate to attribute Medicare
savings accrued during the CJR time
period (hospitalization plus 90 days
post-discharge) to CJR to the extent
possible. The CJR episode has a shorter
duration and is initiated by a major
surgical procedure, requiring an
inpatient hospitalization. In contrast,
the total cost of care models listed in
Table 17 incorporate 6 to 12 month
performance periods for participants
and, in general, have a broader focus on
beneficiary health. Our intention was to
ensure that CJR episodes are attributed
the full expected savings to Medicare to
the extent possible. As such, we
proposed the following policies to
ensure that other programs and models
are able to account for the reconciliation
payments paid to CJR hospitals to the
extent possible prior to performing their
own reconciliation calculations and
that, in all appropriate circumstances,
the CJR model or the other program or
model would make an adjustment for
savings achieved under the CJR model
and partially paid back through shared
savings/performance payments under
other initiatives to ensure that the full
CJR model savings to Medicare is
realized.
We proposed that the total cost of care
calculations under non-ACO total cost
of care models would be adjusted to the
extent feasible to account for
beneficiaries that are aligned to
participants in the model and whose
care is included in CJR in order to
ensure that the savings to Medicare
achieved under CJR (the discount
percentage) are not paid back under
these other models through shared
savings or other performance-based
payment. Thus, the non-ACO total cost
of care models would adjust their
calculations to ensure the CJR discount
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percentage is not paid out as savings or
other performance-based payment to the
other model participants. As previously
discussed, we believe that the
efficiencies achieved during the CJR
episode should be credited to the entity
that is closest to that care for the
episode of care in terms of time,
location, and care management
responsibility, rather than the broader
entity participating in a total cost of care
model that spans a longer duration. We
proposed that the non-ACO total cost of
care models to which this policy would
apply would include CPCi, OCM, and
MAPCP. We sought comment on our
proposal to account for overlap with
those non-ACO total cost of care models
and any other current or forthcoming
models.
We received no comments on our
proposed policy to account for the
potential for the discount percentage to
be paid out as savings by a non-ACO
total cost of care model.
We proposed a different policy for
accounting for overlap with Shared
Savings Program and other ACO
models. We noted that given the
operational complexities and
requirements of the Shared Savings
Program reconciliation process, it would
not be feasible for the Shared Savings
Program to make an adjustment to
account for the discount to Medicare
under a CJR episode under existing
program rules and processes.
Additionally, for programmatic
consistency across the Shared Savings
Program and other ACO models, given
that our ACO models generally are
tested for the purpose of informing
future potential changes to the Shared
Savings Program, in the proposed rule
we stated our belief that the ACO model
overlap adjustment policy should be
aligned with the Shared Savings
Program policy. Thus, we proposed that
under CJR, we would make an
adjustment to the reconciliation amount
if available to account for any of the
applicable discount for an episode
resulting in Medicare savings that is
paid back through shared savings under
the Shared Savings Program or any
other ACO model, but only when a CJR
participant hospital also participates in
the ACO and the beneficiary in the CJR
episode is also assigned to that ACO.
This adjustment would be necessary to
ensure that the applicable discount
under CJR is not reduced because a
portion of that discount is accounted for
in shared savings to the ACO and thus,
indirectly, is paid back to the hospital.
However, we proposed not to make an
adjustment under CJR when a
beneficiary receives an LEJR procedure
at a participant hospital and is assigned
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to an ACO in which the hospital is not
participating. While this proposal
would leave overlap unaccounted for in
such situations, we did not believe it
would be appropriate to hold
responsible for repayment the hospital
that managed the beneficiary during the
episode through a CJR adjustment, given
that the participant hospital may have
engaged in care redesign and reduced
spending during the CJR episode and
may be unaware that the beneficiary is
also assigned to an ACO. However, we
recognized that as proposed this policy
would allow an unrelated ACO full
credit for the Medicare savings achieved
(via the discount percentage) during the
episode. The evaluation of the CJR
model, as discussed in section IV. of
this final rule, would examine overlap
in situations where there is overlap
between ACOs and CJR to the extent
feasible and the potential effect on
Medicare savings.
We note that our proposed policy
would entail CJR reclaiming from the
participant hospital any discount
percentage paid out as shared savings
under the Shared Savings Program or
ACO models only when the hospital is
participating in an ACO as a participant
or provider/supplier and the beneficiary
is assigned to that ACO, while other
total cost of care models such as CPCi
would adjust for the discount
percentage in their calculations to the
extent feasible. While it is operationally
feasible for smaller total cost of care
models in testing, such as CPCi, to make
an adjustment to account for any CJR
discount percentage paid out as sharing
savings or other performance-based
payments, the operational complexities
and requirements of the large permanent
Medicare ACO program, the Shared
Savings Program, make it infeasible for
that program to make an adjustment in
such cases, and in the proposed rule we
stated our belief that other ACO models
in testing that share operating principles
with the Shared Savings Program
should follow the same policies as the
Shared Savings Program adjustment for
certain overlapping ACO beneficiaries.
As the landscape of CMS models and
programs changes, we may revisit this
policy through future rulemaking.
We sought comment on our proposal
for adjustments to account for overlap of
the discount percentage between CJR
and ACO models or programs.
The following is a summary of the
comments received and our responses.
Comment: A commenter suggested
that the proposal could create a
disincentive for health systems to
expand participation in ACO initiatives
due to the more favorable treatment of
non-ACO participating hospitals. The
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commenter also requested that CMS not
recoup the portion of the discount
percentage paid out as savings,
regardless of whether the CJR hospital is
participating in an ACO as a participant
or provider/supplier.
Response: As discussed in section
III.C.7.c. of this final rule, we proposed
to make CJR reconciliation and
repayment amounts available for other
models and programs to include in their
financial calculations. As commenters
noted, the effect of this proposed policy
is that savings achieved during the CJR
episode would generally be attributed to
the CJR model. This proposed policy
does not distinguish between ACO and
non-ACO entities. In contrast, this
section outlines our proposal to make an
adjustment to CJR reconciliation
amounts in certain situations when a
portion of the CJR discount percentage
was paid out as savings to an ACO.
For purposes of limiting the instances
in which a portion of the discount
percentage is doubly counted as savings,
we proposed the following. When a
beneficiary has a CJR episode and is also
assigned to an ACO, it is possible that
a portion of the CJR discount percentage
could be paid out as savings through the
ACO’s financial reconciliation. The
reconciliation or repayment amounts
shared with other models for
incorporation into their financial
calculations are based on the episode
target price, which does not include the
spending amount equal to the discount
percentage as the discount represents
potential savings to Medicare. We
proposed that when overlap occurs
between CJR hospitals that are
participating in an ACO model or
program as a participant or provider/
supplier, we would make an adjustment
to the reconciliation payment (if
available) to account for the portion of
the discount that was paid to the ACO
as shared savings. For example, through
the subsequent reconciliation
calculation, described in section III.C.6.
of this final rule we would reduce a CJR
hospital’s reconciliation payment by the
dollar amount that would have been
saved by CMS under the applicable CJR
discount percentage, but was
determined to have been paid to the
ACO as shared savings. In cases where
the CJR hospital is not participating in
the Shared Savings Program or an ACO
model, we would not make such an
adjustment. We believe it is reasonable
to minimize the situations in which the
CJR discount percentage is double
counted as savings. We also believe our
policy not to make this adjustment in
the case of an unrelated ACO is
appropriate, given that the ACO may be
unaware of the beneficiary’s care
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pathway or that the beneficiary’s LEJR
episode is included in the CJR model
because the CJR hospital and the ACO
are not related. We also note that while
making an adjustment to a CJR
hospital’s reconciliation payment is
within the scope of the CJR model,
adjusting shared savings amounts for
ACO entities would necessitate changes
to agreements to the Shared Savings
Program and other ACO model
agreements and methodologies. For the
reasons previously stated, we believe
unrelated ACOs should not be required
to repay the amount of the CJR discount
percentage included in the ACO’s
financial reconciliation.
We do not believe our proposed
policy would create a disincentive for
health systems to participate in an ACO.
Hospitals that are not participating in
the Shared Savings Program or other
ACO models are treated the same as
those participating in an ACO for
purposes of determining attribution of
savings during the CJR episode
represented by the reconciliation
payments, as previously discussed in
section III.C.7.c. of this final rule. As
discussed in that section, after
performing the financial reconciliation
calculations for CJR, we will put the
reconciliation or repayment amounts, as
applicable, in a shared repository for
other models or programs to use in their
own financial calculations. The
reconciliation or repayment amounts
would be taken into account as if they
were FFS payments made for a covered
service furnished to a beneficiary, to the
extent that such inclusion of payments
is consistent with the other model or
program’s policies. In applying this
policy, we will not make a distinction
between hospitals or other providers
based on participation in an ACO or
other initiative. The reconciliation or
repayment amounts will be available for
all other models or programs to use in
their financial calculations as
appropriate. In cases where the other
initiative includes the CJR
reconciliation or repayment amounts in
their financial calculations, the savings
achieved during an episode would be
attributed to CJR, except in cases where
the discount percentage is paid out as
savings to another model or program
participant, as discussed later in this
section. In addition, in cases where
some or all of the CJR discount
percentage is paid out to an ACO
hospital through the ACO’s financial
reconciliation, making an adjustment to
the reconciliation payment where
available to account for the discount
percentage does not penalize the
hospital participating in an ACO. Such
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adjustment ensures that the discount
percentage is not paid out as savings to
the same or a related entity.
Comment: A commenter questioned
the methodology CMS proposed for
accounting for such overlap, requesting
that the calculation be pro-rated for the
90-day episode and only include the
portion related to CJR model
participants.
Response: Although our calculations
to determine reconciliation or
repayment amounts would be done in
aggregate across all CJR episodes for a
given participants, overlap adjustments
and calculations would be done at the
beneficiary level. Therefore, we do not
believe proration is necessary.
Final Decision: After consideration of
the public comments we received, we
are finalizing our proposal, without
modification, to account for overlap
with non-ACO total cost of care models
and ACO models and programs. In cases
where a portion of the CJR discount
percentage is paid out as savings to a
non-ACO model participant, the other
model will make an adjustment to their
financial reconciliation calculation to
the extent feasible. In the case of such
overlap with an entity participating in
the Shared Savings Program or an ACO
model, the CJR model would require
repayment of the portion of the discount
percentage paid out as savings through
the subsequent reconciliation process,
by making an adjustment to the
reconciliation amount if available. If a
CJR hospital did not earn a
reconciliation payment, the adjustment
would not be made. That is, we will not
increase the amount of a hospital’s
repayment amount in order to account
for the portion of the discount
percentage paid out as savings. This
adjustment would only be undertaken
when the CJR hospital is also aligned to
an ACO as a participant or a provider/
supplier and the beneficiary in the CJR
episode was assigned or aligned to the
ACO. We may revisit our approach to
accounting for overlap with the Shared
Savings Program and ACO models in
future rulemaking.
Summary of Final Decisions: After
consideration of the public comments
we received, we are finalizing our
proposal, without modification, for nonACO total cost of care models to adjust
their financial reconciliation
calculations to the extent feasible to
ensure that a portion of the CJR discount
is not paid out as savings under that
model. We are also finalizing our
proposal, without modification, to make
an adjustment to a CJR hospital’s
subsequent reconciliation calculation,
when the CJR hospital also participates
in the ACO and the beneficiary in the
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CJR episode is also assigned to that
ACO, to account for when a portion of
the CJR discount percentage is paid out
as shared savings the ACO.
This policy is set forth at § 510.305.
8. Limits or Adjustments to Hospital
Financial Responsibility
a. Overview
As discussed in section III.A. of the
proposed rule, we proposed designating
as the financially responsible providers
in CJR all acute care hospitals paid
under the IPPS that are located in the
selected geographic areas for this test of
90-day post-discharge LEJR episodes,
with the exception of some hospitals
that we proposed to exclude because of
participation in BPCI (Models 1, 2, or 4)
for LEJR episodes. We are interested in
ensuring a broad test of episode
payment for this clinical condition
among different types of hospitals,
including those who may not otherwise
choose to participate in an episode
payment model. Many of the participant
hospitals would likely be key service
providers in their communities for a
variety of medical and surgical
conditions extending well beyond
orthopedic procedures. We want to gain
experience with this model before
extending it to hospitals in uncommon
circumstances. In addition, we
acknowledge that hospitals designated
for participation in CJR currently vary
with respect to their readiness to
function under an episode payment
model with regard to their
organizational and systems capacity and
structure, as well as their beneficiary
population served. Some hospitals may
more quickly be able to demonstrate
high quality performance and savings
than others, even though we proposed
that the episode target prices be based
predominantly on the hospital’s own
historical episode utilization in the
early years of CJR.
We also note that providers may be
incentivized to excessively reduce or
shift utilization outside of the CJR
episode, even with the quality
requirements discussed in section
III.C.5. of the proposed rule. In order to
mitigate any excessive repayment
responsibility for hospitals or reduction
or shifting of care outside the episode,
especially beginning in performance
year 2 of the model when we proposed
to begin to phase in responsibility for
repaying Medicare for excess episode
spending, we proposed several specific
policies that are also referenced in
section III.C.6.b. of the proposed rule.
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b. Limit on Raw NPRA Contribution to
Repayment Amounts and Reconciliation
Payments
(1) Limit on Raw NPRA Contribution to
Repayment Amounts
When hospital repayment
responsibility begins in the second
performance year of CJR, under this
final rule, hospitals would be required
to repay Medicare for episode
expenditures that are greater than the
applicable target price. As discussed in
the section III.C.3.c of the proposed rule
regarding our proposed pricing
adjustment for high payment episodes,
hospitals participating in CJR would not
bear financial responsibility for actual
episode payments greater than a ceiling
set at two standard deviations above the
mean regional episode payment.
Nevertheless, hospitals would begin to
bear repayment responsibility beginning
in performance year 2 for those episodes
where actual episode expenditures are
greater than the target price up to the
level of the regional episode ceiling. In
aggregate across all episodes, the money
owed to Medicare by a hospital for
actual episode spending above the
applicable target price could be
substantial if a hospital’s episodes
generally had high payments. As an
extreme example, if a hospital had all of
its episodes paid at two standard
deviations above the mean regional
episode payment, the hospital would
need to repay Medicare a large amount
of money, especially if the number of
episodes was large.
To limit a hospital’s overall
repayment responsibility for the raw
NPRA contribution to the repayment
amount under this model, we proposed
a 10 percent limit on the raw NPRA
contribution to the repayment amount
in performance year 2 and a 20 percent
limit on the raw NPRA contribution to
the repayment amount in performance
year 3 and subsequent years. Hereinafter
we refer to these proposed repayment
limits as stop-loss limits. In
performance year 2 as we phase in
repayment responsibility, the hospital
would owe Medicare under the
proposed CJR payment model no more
than 10 percent of the hospital’s target
price for the anchor MS–DRG
multiplied by the number of the
hospital’s CJR episodes anchored by that
MS–DRG during the performance year,
for each anchor MS–DRG in the model.
Ten percent provides an even transition
with respect to maximum repayment
amounts from performance year 1,
where the hospital bears no repayment
responsibility, to the proposed stop-loss
limit in performance years 3 through 5
of 20 percent. In performance years 3
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through 5 when repayment
responsibility is fully phased in, no
more than 20 percent of the hospital’s
target price for the MS–DRG multiplied
by the number of the hospital’s CJR
episodes with that MS–DRG in that
performance year would be owed by the
hospital to Medicare under the
proposed CJR payment model. The
proposed stop-loss percentage of 20
percent would be symmetrical in
performance years 3 through 5 with the
proposed limit on the raw NPRA
contribution to reconciliation payments
discussed in the following section.
We had believed that a stop-loss limit
of 20 percent is appropriate when the
hospital bears full repayment
responsibility, based on our assessment
of the changes in practice pattern and
reductions in quality of care that could
lead to significant repayment
responsibility under the CJR model, as
compared to historical LEJR episode
utilization. We estimate that the IPPS
payment for the anchor hospitalization
makes up approximately 50 percent of
the episode target price, and we expect
that the anchor hospitalization offers
little opportunity for efficiencies to be
achieved by reducing Medicare
expenditures. In contrast, we expect
significant episode efficiencies could be
achieved in the 90 days following
discharge from the anchor
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hospitalization through reductions in
related hospital readmissions and
increased utilization of appropriate
lower intensity PAC providers,
specifically increased utilization of
home health services and outpatient
therapy and reduced utilization of SNFs
and IRFs. Hospital readmissions and
facility-based PAC increase the typical
Medicare episode payment by 30 to 45
percent over episodes that do not
include these services. The proposed 20
percent stop-loss limit related to the
total episode payment corresponds to
approximately 40 percent of episode
payment for the post-discharge period
only, where the major opportunities for
efficiency through care redesign occur.
Thus, taking into consideration the
historical patterns used to set target
prices, we believed it is reasonable to
hold participant hospitals responsible
for repayment of actual episode
spending that is up to 20 percent greater
than the target price. If a participant
hospital’s repayment amount due to the
raw NPRA would otherwise have
exceeded the stop-loss limit of 20
percent (comparable to 40 percent of
Medicare payment for the postdischarge period), the hospital’s
episodes would include much poorer
episode efficiency as compared to the
hospital’s historical episodes, with large
proportions of episodes including
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related readmissions and facility-based
PAC, costly services that we do not
expect to be necessary for most
beneficiaries whose care is wellcoordinated and appropriate throughout
a high quality LEJR episode.
The following hypothetical example
illustrates how the proposed stop-loss
percentage would be applied in a given
performance year for the episodes of a
participant hospital. In performance
year 3, a participant hospital had ten
episodes triggered by MS–DRG 469,
with a target price for these episodes of
$50,000. The hospital’s episode actual
spending for these ten episodes was
$650,000. The hospital’s raw NPRA that
would otherwise be $150,000 ((10 ×
$50,000)¥$650,000) would be capped
at the 20 percent stop-loss limit of
$100,000 (0.2 × 10 × $50,000) so the
hospital would owe CMS $100,000,
rather than $150,000. In performance
year 3, the same participant hospital
also has 100 episodes triggered by MS–
DRG 470, with a target price for these
episodes of $25,000. The hospital’s
episode actual spending for these 100
episodes was $2,800,000. The hospital’s
raw NPRA would be $300,000 ((100 ×
$25,000)¥$2,800,000), an amount that
would be due to CMS in full as it would
not be subject to the 20 percent stop-loss
limit of $500,000 (0.2 × 100 × $25,000).
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As illustrated in Figure 4 where we
display results from our national model
for the proposed CJR performance year
2 policies when the phase-in of
repayment responsibility begins and
under the assumption that utilization
remains constant, we estimate that the
10 percent stop-loss limit would impact
the amount of repayment due to the raw
NPRA for about 11 percent of hospitals.
For performance year 3, the 20 percent
stop-loss limit would affect significantly
fewer hospitals, only about 3 percent.
We note that the stop-loss limit for years
3 through 5 where repayment
responsibility is fully implemented is
consistent with the BPCI Model 2
policy. While Figure 3 assumes no
change in utilization patterns, under the
model test we expect that the proposed
stop-loss limits could actually affect a
smaller percentage of hospitals in each
performance year because we expect
LEJR episode care redesign incentivized
by the model’s financial opportunities
to generally reduce unnecessary
utilization, thereby reducing actual
episode spending and, correspondingly,
any associated repayment amounts due
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to the raw NPRA. We note that we
would include any post-episode
spending amount due to Medicare
according to the policy proposed in
section III.C.8.d. of the proposed rule in
assessing the total repayment amount
due to the raw NPRA against the stoploss limit for the performance year to
determine a hospital’s total payment
due to Medicare, if applicable.
We sought comment on our proposal to
adopt a 10 percent stop-loss limit in
performance year 2 and 20 percent stoploss limit in performance year 3 and
beyond in CJR as hospital repayment
responsibility for excess episode
spending above the target price is
phased in and then maintained in the
model. The following is a summary of
the comments received and our
responses.
Comment: Several commenters
commented on our proposal for stoploss limits and expressed support of our
proposal to establish stop-loss limits on
financial responsibility to 10 percent in
year 2, 20 percent in years 3 through 5
that aligned with BPCI and comments in
support of the premise of phase-in risk
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under a mandatory model. However, we
also received several comments in
opposition of our approach for stop-loss
limits. Several commenters requested
that we either delay downside risk until
Performance Year 3 or set the maximum
stop-loss limit at 10 percent, as opposed
to 20 percent. Several commenters
suggested that we phase in downside
risk more slowly with various
permutations of the transition to
downside risk such as 3 percent in year
3, 6 percent in year 4 and 10 percent in
year 5 which aligned more with the
Shared Savings Program Track 2 or that
we phase in risk with no repayment in
year 1 and 2 and stop loss limit set at
intervals leading up to 10 percent by
performance year 5. Commenters found
the stop loss limit to be high
considering that the IPPS payment for
an LEJR episode comprised 50 percent
of a payment, so a 10 percent stop-loss
limit would actually represent 20
percent of DRG payment and a 20
percent stop-loss limit would represent
40 percent of DRG payment.
Additionally, a commenter was
concerned that if hospitals only treat
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outlier cases, episode costs could be
highly skewed, resulting in repayment.
Commenters requested for a more
gradual transition to downside risk and
a lower stop-loss limit to allow for
hospitals to have more time to gain
experience under a mandatory model.
Additionally, commenters were
concerned with the downward
pressures faced by hospitals under
Medicare reimbursement such as
penalties under HRRP, HAC, HITECH
and sequestration, and that hospitals
need to manage moving to ICD–10 and
changes under MACRA. The commenter
requested that given the other
competing Medicare payment policies
that are affecting hospitals, we should
provide for a lower stop-loss limit.
Response: We thank the commenters
for the concerns they raised regarding
the proposed stop-loss limit. As
described earlier in this final rule, we
acknowledge that it may take time for
the hospitals to make changes in
response to this model and to assume
downside risk. We have made several
changes in response to such concerns,
including delaying the start date of this
model to April 1, 2016. Additionally,
we have provided safeguards for high
cost outlier episodes where we are
finalizing capping episodes that are two
standard deviations above the mean
regional price when determining
episode target prices and actual episode
payments. Similarly, we agree with
commenters that we can provide a more
gradual transition to downside risk as
hospitals make changes to
infrastructure, care coordination, and
financial alignment in response to this
model. Additionally, we believe a
gradual transition to downside risk may
reduce the effect of random variation in
the early years of the model that could
result in highly skewed episode costs
that would result in hospital repayment.
We are finalizing our policy for no
downside risk in Performance Year 1, a
stop-loss limit of 5 percent in
Performance Year 2, a stop-loss limit of
10 percent in Performance Year 3 and
full downside risk with a stop-loss limit
of 20 percent in Performance Years 4
and 5. We believe that as we move to
regional pricing, hospitals will gain
more experience with the model and
reduce unnecessary utilization, allowing
them better manage additional
downside risk capped at 20 percent in
Performance Year 4 and 5.
Comment: We received a comment
that we should align our stop-loss limit
policy with BPCI such that we allow
hospitals to choose their level of risk
among different tracks such as 5 percent
stop loss/stop gain, 10 percent stop loss/
stop gain or 20 percent stop loss/stop
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gain limits. The commenter suggested
that as hospitals have more control over
the risk they take on, they can get more
benefit in terms of stop-gain.
Commenter suggested that, similar to
BPCI, hospitals should be able to change
their risk level on a quarterly basis.
Response: While this may be similar
to how the BPCI model operates, we do
not believe it would be appropriate to
allow for that option at this time. One
of the goals of this model is to evaluate
the generalizability of a bundled
payment model for selected hospitals
and we are interested in evaluating the
effects on hospitals for assuming
financial responsibility of an episode of
care that include downside risk with
limits over time. If we allow hospitals
to choose their risk level over time, it
adds to the operational complexity of
this model and may limit the
generalizability of the findings.
Comment: We received a comment
that we should use dollar thresholds to
set the stop-loss limits as opposed to
percentages. The commenter was
concerned that depending on the
amount of volume at a hospital, the
proposed 10 percent stop-loss limit in
Performance Year 2 or 20 percent stoploss limit in Performance Year 3 through
5 could be difficult to absorb.
Response: We believe that it would be
operationally complex to establish a
stop-loss limit based on a dollar amount
given the payment policies finalized in
this rule. It would be difficult to
establish a dollar amount stop-loss limit
as selected hospitals have varying
volumes for LEJR episodes that we are
not able to predict over the course of the
model. Additionally, we are finalizing
to adjust target episode prices twice a
year in accordance with updates to the
Medicare FFS schedules so it would be
challenging to additionally adjust stoploss limits based on a dollar amount. We
believe the percentage based stop-loss
limits are easier for the public to
understand.
Final Decision: After consideration of
the public comments we received, we
are finalizing to apply stop-loss limits of
5 percent in performance year 2, 10
percent in performance year 3 and 20
percent for performance years 4 and 5.
This is a change from the proposed rule
where we had proposed to apply stoploss limits of 10 percent in Performance
Year 2 and 20 percent in Performance
Years 3 through 5. We are codifying
these changes at § 510.305(e)(1)(v)(C).
(2) Limit on Raw NPRA Contribution to
Reconciliation Payments
We believed a limit on reconciliation
payments for CJR would be appropriate
for several reasons. Due to the proposed
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nature of the CJR model during
performance year 1, when hospitals
have no repayment responsibility for
excess episode spending above the
target price, CMS bears full financial
responsibility for Medicare actual
episode payments for an episode that
exceed the target price, and we believed
our responsibility should have judicious
limits. Therefore, we believed it would
be reasonable to cap a hospital’s
reconciliation payment due to the raw
NPRA as a percentage of episode
payment on the basis of responsible
stewardship of CMS resources. In
addition, we note that beginning in
performance year 1, participant
hospitals would be eligible for
reconciliation payments due to the
NPRA if actual episode expenditures are
less than the target price, assuming the
proposed quality thresholds are met.
This proposal for reconciliation
payments due to the NPRA provides a
financial incentive to participant
hospitals from the beginning of the
model to manage and coordinate care
throughout the episode with a focus on
ensuring that beneficiaries receive the
lowest intensity, medically appropriate
care throughout the episode that results
in high quality outcomes. Therefore, we
also believed it would be reasonable to
cap a hospital’s reconciliation payment
due to the raw NPRA based on concerns
about potential excessive reductions in
utilization under the CJR model that
could lead to beneficiary harm.
In determining what would constitute
an appropriate reconciliation payment
limit due to the raw NPRA, we believed
it should provide significant
opportunity for hospitals to receive
reconciliation payments for greater
episode efficiency that includes
achievement of quality care and actual
episode payment reductions below the
target price, while avoiding creating
significant incentives for sharply
reduced utilization that could be
harmful to beneficiaries. Thus, for all 5
performance years of the model, we
proposed a limit on the raw NPRA
contribution to the reconciliation
payment of no more than 20 percent of
the hospital’s target prices for each MS–
DRG multiplied by the number of the
hospital’s episodes for that MS–DRG.
Hereinafter we refer to this proposed
reconciliation payment limit as the stopgain limit. This proposed stop-gain limit
is parallel to the 20 percent stop-loss
limit proposed for performance year 3
and beyond. We believed that a parallel
stop-gain and stop-loss limit is
important to provide proportionately
similar protections to CMS and
participant hospitals for their financial
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responsibilities under CJR, as well as to
protect the health of beneficiaries.
As illustrated in Figure 3 where we
displayed results from our national
model for the proposed CJR
performance year 2 policies under the
assumption that utilization remains
constant, we estimate that the 20
percent stop-gain limit would impact
the reconciliation payment amount due
to the raw NPRA of almost no hospitals.
We note that a stop-gain limit of 20
percent is consistent with BPCI Model
2 policy. While Figure 3 assumes no
change in utilization patterns, under the
model test we expect that the proposed
stop-gain limit could actually affect a
few hospitals in each performance year
because we expect LEJR episode care
redesign incentivized by the model’s
financial opportunities to generally
reduce unnecessary utilization, thereby
reducing actual episode spending and,
correspondingly, increasing any
associated reconciliation payment
amounts due to the raw NPRA.
Nevertheless, we believed the proposed
stop-gain limit of 20 percent provides
substantial opportunity for hospitals to
achieve savings over the target price
without excessive reductions in
utilization, and those savings would be
paid back to hospitals fully in most
cases without being affected by the stopgain limit. We sought comment on our
proposal to adopt a 20 percent stop-gain
limit for all performance years of CJR.
We note that we plan to monitor
beneficiary access and utilization of
services and the potential contribution
of the stop-gain limit to any
inappropriate reduction in episode
services. We refer readers to section
III.F. of the proposed rule for our
proposals on monitoring and addressing
hospital performance under CJR.
The following is a summary of the
comments received and our responses.
Comment: Commenters were
generally supportive of the proposed
stop-gain limit policy at 20 percent as it
aligns with BPCI. Another commenter
supported the 20 percent stop-gain limit
but noted that it is not proportional to
the stop-loss limit of 20 percent that was
proposed to begin in Performance Year
3 because hospitals have to invest and
achieve a minimum 2 percent savings
for the Medicare discount from a blend
of regional and provider spend which
may represent a higher cost savings.
Some commenters requested that we
remove a stop-gain limit as there are
sufficient safeguards in the rule that a
stop gain limit was not necessary.
Additionally, commenters found a stopgain limit could serve as a disincentive
for hospitals and hospital systems to
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undertake those reforms that truly
transform care.
Response: As described earlier, in
response to comments that hospitals
need a more time to assume downside
risk, we are similarly finalizing a more
gradual transition the stop-loss limit of
20 percent such that in Performance
Year 2, the stop-loss limit is 5 percent,
in Performance Year 3, the stop loss
limit is 10 percent and in Performance
Year 4 and 5, the stop-loss limit is 20
percent. As described in the proposed
rule, we proposed parallel stop-loss and
stop-gain limits in order to provide
proportionately similar protections to
CMS and participant for their financial
responsibilities under CJR, as well as to
protect the health of beneficiaries.
Because we are changing our stop-loss
limits in this final rule to provide for a
more gradual transition to a stop-loss
limit of 20 percent, we are believe it
would be similarly appropriate to
implement a gradual transition to the
full stop-gain limit of 20 percent. We
believe that the commenters’ arguments
for requiring additional time to make
changes to adapt to the model and to
take on financial responsibility similarly
applies to hospitals’ ability to obtain
upside risk under this model. We want
to ensure that any repayments in the
early years of the model are not due to
random variation and accordingly, we
have applied a transition to downside
risk with more gradual stop-loss limits
during the course of the model. We
similarly want to ensure that any
savings achieved by the hospitals in the
early years of the model are also not due
to random variation and believe it
would be appropriate to apply a parallel
transition with more gradual stop-gain
limits during the course of the model.
Additionally, we want to ensure that
changes that the hospitals undertake to
improve efficiency that include
achievement in quality care and episode
payment reductions below the target
episode price also do not result in sharp
decreases in utilization that could be
harmful to beneficiaries. Implementing
parallel stop-loss and stop-gain limits
provides significant opportunity for
hospitals to reduce episode spending
through care redesign and care
coordination, with appropriate
safeguards to ensure that such redesign
and coordination activities are clinically
appropriate and do not result in reduced
quality of care. We recognize that while
some hospitals may already be adept at
such coordination activities, given that
we are requiring participation in the CJR
model, such safeguards are necessary to
protect beneficiaries and the Trust
Funds while hospitals less experienced
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with care redesign adapt to the model
and begin to engage in care redesign
activities. While we are implementing
various mechanisms to monitor for
inappropriate changes in utilization as
discussed later in this rule, we believe
it would also be appropriate to
transition to upside risk in the same
manner as we are finalizing to transition
to downside risk. In addition, we
believe parallel stop-loss and stop-gain
limits are appropriate for the CJR model
in order to ensure that both CMS and
hospitals in the model are similarly at
risk for episode spending. Accordingly,
we are finalizing a 5 percent stop-gain
limit in Performance Year 1 and 2, 10
percent stop-gain limit in Performance
Year 3 and 20 percent stop-gain limit in
Performance Years 4–5. We believe that
it is appropriate that as participant
hospitals increase their downside risk,
they can similarly increase their
opportunity for additional payments
under this model.
Additionally, we acknowledge the
comment that hospitals need to achieve
a certain percent savings, representing
the Medicare discount before they are
able to receive a reconciliation payment
and be subject to the stop-gain limits. As
discussed in section III.C.4.b.(9) of this
final rule, we are modifying our policy
in this final rule so as to use lower
discount factors for purposes of
determining the hospital’s responsibility
for excess episode spending not only in
performance year 2, but also in
performance year 3. Additionally, as
discussed in section III.C.5. of this final
rule, we are modifying the proposed
rule so as to provide different levels of
quality incentive payments that would
modulate participant hospitals’ effective
target price discount factor based on
their quality performance. We expect
participant hospitals to have significant
opportunity to improve the quality and
efficiency of care furnished during
episodes in comparison with historical
practice, because this model would
facilitate the alignment of financial
incentives among providers and
suppliers caring for beneficiaries
throughout the episode. This discount
would serve as Medicare’s portion of
reduced expenditures from the episode,
with any episode expenditure below the
target price potentially available as
reconciliation payments to the
participant hospital where the anchor
hospitalization occurred.
Final Decision: After consideration of
the public comments we received, we
are finalizing to establish stop-gain
limits that correspond to the finalized
stop-loss limits such that the stop-gain
limit is 5 percent in Performance Years
1 and 2, 10 percent in Performance Year
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3 and 20 percent in Performance Year 4
and 5. We are codifying the
establishment of stop-gain limits in this
model at § 510.305(e)(1)(v)(D).
c. Policies for Certain Hospitals To
Further Limit Repayment Responsibility
As discussed in section III.C.3. of the
proposed rule, we proposed that
participant hospitals would be subject
to repayment responsibility for episode
actual spending in excess of the
applicable target price beginning in
performance year 2. Hospitals
participating in CJR would not be
responsible for actual episode payments
greater than a ceiling set at two standard
deviations above the mean regional
episode payment as described earlier in
this section. Additionally, we proposed
a 10 percent limit on the raw NPRA
contribution to the repayment amount
in performance year 2 and a 20 percent
limit on the raw NPRA contribution to
the repayment amount in performance
year 3 and beyond, as described in the
previous section of this final rule.
Though our proposals provide several
safeguards to ensure that participant
hospitals have limited repayment
responsibility due to the raw NPRA, we
are proposing additional protections for
certain groups of hospitals that may
have a lower risk tolerance and less
infrastructure and support to achieve
efficiencies for high payment episodes.
Specifically, we are proposing
additional protections for rural
hospitals, SCHs, Medicare Dependent
Hospitals and Rural Referral Centers
(RRCs). We note that these categories of
hospitals often have special payment
protections or additional payment
benefits under Medicare because we
recognize the importance of preserving
Medicare beneficiaries’ access to care
from these hospitals. In MedPAC’s
Report to the Congress in June 2012,
MedPAC examined issues related to
rural Medicare beneficiaries and found
that ‘‘The primary objective of rural
special payments is to ensure that
Medicare does its part to support the
financial viability of rural providers that
are necessary for beneficiaries’ access to
care. Some form of special payments
will be needed to maintain access in
areas with low population density
where providers inevitably have low
patient volumes and lack economies of
scale.’’ 44
We proposed that a rural hospital
would have additional protections
under the stop-loss limit proposal. For
the purpose of this model, we are
proposing to define a rural hospital as
44 MedPAC
Report to Congress June 2012,
Chapter 5, page 121.
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an IPPS hospital that is either located in
a rural area in accordance with
§ 412.64(b) or in a rural census tract
within an MSA defined at
§ 412.103(a)(1) or has reclassified to
rural in accordance with § 412.103.
Such rural hospitals would have
additional protections under the stoploss limit proposal. Consistent with the
findings in MedPAC’s June 2012 Report
to the Congress, we believed rural
hospitals may have a lower risk
tolerance and less infrastructure and
support to achieve efficiencies for high
payment episodes, particularly if they
are the only rural hospital in an area.
Our preliminary analysis examining
national spending for MS–DRGs 469
and 470 from October 1, 2013 to
September 30, 2014 showed that MS–
DRGs 469 and 470 cases represent a
slightly higher proportion of cases and
spending for rural hospitals than the
national average (for example, MS–DRG
470 episode spending represents 12
percent of IPPS spending for rural
hospitals and represents 9 percent of
IPPS spending nationally).45
Additionally, our analysis on the
distribution of national spending of
MS–DRGs 469 and 470 episodes by
service type (that is inpatient,
outpatient, SNF, Home Health,
Physician Part B, DME), found that on
average, inpatient services account for
the most spending for an MS–DRGs 469
and 470 episode (53 percent of spending
for an MS–DRG 469 episode and 55
percent of spending for MS–DRG 470
episode). SNF services account for 27
percent of spending for MS–DRG 469
and 18 percent of spending for MS–DRG
470. The spending distribution for all
rural IPPS hospitals also differs from the
national average. For rural hospitals,
inpatient services for CJR episodes
account for more spending than the
national average (56 percent for MS–
DRG 469 and 57 percent for MS–DRG
470 for rural hospitals) and SNF
spending is higher than the national
average (29 percent for MS–DRG 469
and 21 percent for MS–DRG 470 for
rural hospitals). It is evident that this
category of hospitals has different
spending patterns than the national
average. Furthermore, hospitals in rural
areas often face other unique challenges.
Rural hospitals may be the only source
of healthcare services for beneficiaries
living in rural areas, and beneficiaries
have limited alternatives should rural
hospitals be subject to financial changes
under this model. Additionally, because
rural hospitals may be in areas with
45 Medicare FFS Parts A and B claims, CJR
episodes as proposed, between October 1, 2013 and
September 30, 2014.
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fewer providers including fewer
physicians and PAC facilities, rural
hospitals may have more limited
options in coordinating care and
reducing spending while maintain
quality of care under this model. We
believed that urban hospitals may not
have similar concerns as they are often
in areas with many other providers and
have greater opportunity to develop
efficiencies under this model. Given
that rural hospitals have different
episode spending patterns, have
different challenges in coordinating care
and reducing cost than urban hospitals
and serve as a primary access to care for
beneficiaries, we believed that we
should have a more protective stop-loss
limit policy as described later in this
section.
Additionally, we proposed to provide
additional protections for SCHs as
defined in § 412.92, Medicare
Dependent Hospitals as defined in
§ 412. 108 and RRCs as defined in
§ 412.96. Hospitals paid under the IPPS
can qualify for SCH status if they meet
one of the following criteria:
• Located at least 35 miles from other
like hospitals.
• Located in a rural area, located
between 25 and 35 miles from other like
hospitals, and no more than 25 percent
of residents or Medicare beneficiaries
who become hospital inpatients in the
hospital’s service area are admitted to
other like hospitals located within a 35mile radius of the hospital or the
hospital has fewer than 50 beds and
would meet the 25 percent criterion if
not for the fact that some beneficiaries
or residents were forced to seek
specialized care outside of the service
area due to the unavailability of
necessary specialty services at the
hospital.
• Hospital is rural and located
between 15 and 25 miles from other like
hospitals but because of local
topography or periods of prolonged
severe weather conditions, the other like
hospitals are inaccessible for at least 30
days in each of 2 out of 3 years.
• Hospital is rural and the travel time
between the hospital and the nearest
like hospital is at least 45 minutes.
If an IPPS hospital qualifies to be a
SCH, the hospital can be paid the higher
of the federal payment rate paid to IPPS
hospitals or a cost-based hospitalspecific rate as described in § 412.78.
Under OPPS, a rural SCH can receive a
7.1 percent add on payment for most
services with certain exceptions, in
accordance with § 419.43(g). These
criteria to qualify for SCH status
demonstrate that SCHs are likely to be
the sole hospital in an area.
Furthermore, additional payments
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provided under Medicare FFS for SCHs,
demonstrates Medicare’s interest in
ensuring these hospitals are able to
provide services to the Medicare
beneficiaries who may have limited
access to providers in their area. As a
result, we believed that we should
provide SCHs additional protections
from hospital responsibility for
repayment in this model. We note that
we proposed to exclude these add-on
payments for SCHs, as described in
section III.C.3.a. of the proposed rule.
MDHs are defined as a hospital that
meets the following criteria:
• Located in a rural area.
• Has 100 beds or less.
• Is not a SCH.
• Sixty percent of the hospital’s
inpatient days or discharges were
attributable to individuals entitled to
Medicare Part A benefits during
specified time periods as provided in
§ 412.108.
MDHs also qualify for special
additional payments under the IPPS
where an MDH can receive the higher of
a payment under the federal standard
rate for IPPS hospitals or the payment
under federal standard rate for IPPS
hospitals plus 75 percent of the
difference in payments between a cost
based hospital-specific rate and the
federal standard rate as described in
§ 412.108(c). These criteria demonstrate
that MDHs are small, rural hospitals that
have a high Medicare case mix
percentage and receive additional
payments under the IPPS to ensure
financial stability and preserve
beneficiary access to care to these
hospitals. Thus, we believed these
factors demonstrate that we should
provide additional safeguards from
hospital responsibility for repayment in
order to preserve access to care. We note
that we proposed to exclude these
payment enhancements for MDHs, as
described in section III.C.3.a. of the
proposed rule.
RRCs are defined as IPPS hospitals
with at least 275 beds that meet the
following criteria:
• Fifty percent of the hospital’s
Medicare patients are referred from
other hospitals or from physicians who
are not on the staff of the hospital.
• At least 60 percent of the hospital’s
Medicare patients live more than 25
miles from the hospital.
• At least 60 percent of all services
the hospital furnishes to Medicare
patients are furnished to patients who
live more than 25 miles from the
hospital.
If a hospital does not meet the criteria
described previously, a hospital can also
qualify for RRC status if a hospital meets
the following criteria:
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• For specified period of time, the
hospital has a case-mix that equals the
lower of the median case mix index
(CMI) value for all urban hospitals
nationally; or the median CMI value for
urban hospitals located in its region,
excluding those hospitals receiving
indirect medical education payments.
• Its number of discharges is at
least—
++ 5,000 (or 3,000 for an osteopathic
hospital); or
++ The median number of discharges
for urban hospitals in the census region
in which it is located, set by the CMS
through IPPS rulemaking.
• Additionally, a hospital must meet
one of the following criteria:
++ More than 50 percent of its active
medical staff are specialists who meet
the conditions specified at§ 412.96(c)(3).
++ At least 60 percent of all
discharges are for inpatients who reside
more than 25 miles from the hospital.
++ At least 40 percent of all
inpatients treated are referred from
other hospitals or from physicians who
are not on the hospital’s staff.
As an RRC, a hospital can qualify for
several additional payments under the
IPPS. For example, an RRC is not
subject to the 12 percent cap on
Medicare Disproportionate Share
Hospital payments that a rural hospital
would otherwise be subject to, in
accordance with § 412.106(d). Although
RRCs are larger and have a higher
Medicare patient mix, they often serve
as the sole provider to treat higher
acuity cases, as demonstrated by the
RRC qualification criteria. As a result of
these unique characteristics of these
hospitals, RRCs can receive additional
payments under Medicare FFS. Thus, it
is also important to provide additional
protections for RRCs such that
participation in this model does not
result in significant financial loss that
may reduce access for Medicare
beneficiaries.
For these reasons, we proposed a
stop-loss limit of 3 percent of episode
payments for these categories of
hospitals in performance year 2 and a
stop-loss limit of 5 percent of episode
payments for performance years 3
through 5. More specifically, in
performance year 2, a rural hospital,
SCH, RRC or MDH that is a participant
hospital would owe Medicare due to the
raw NPRA no more than 3 percent of the
hospital’s target price for the anchor
MS–DRG multiplied by the number of
the hospital’s CJR episodes with that
anchor MS–DRG in the performance
year. Additionally, in performance years
3 through 5, a rural hospital, SCH, RRC
or MDH that is a participant hospital
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would owe Medicare due to the raw
NPRA no more than 5 percent of the
hospital’s target price for the anchor
MS–DRG multiplied by the number of
the hospital’s CJR episodes with that
anchor MS–DRG in the performance
year. We believed a different stop-loss
limit policy is warranted given the
different spending patterns and the
unique hospital characteristics for these
groups of hospitals as described earlier.
We believed this proposal strikes an
appropriate balance between protecting
hospitals that often serve as the only
access of care for Medicare beneficiaries
and having these hospitals meaningfully
participate in the model. We note that
this proposal does not impact the
proposed stop-gain policy for these
categories of hospitals. Rural hospitals,
SCHs, MDHs and RRCs would still have
the opportunity to participate in full
gains at 20 percent similar to other
hospitals.
Hospitals can apply for SCH, MDH
and RRC status through their MACs and
Regional Office at any time. MACs
maintain the list of SCHs, MDHs, and
RRCs in the CMS Provider Specific File,
which they update on a quarterly basis.
The special hospital designations
recorded in the Provider Specific File
are used in Medicare claims pricing to
ensure that these hospitals are paid
according to their special hospital
designation. Additionally, CMS can
identify which hospitals are considered
rural for the purpose of this policy,
using the Provider Specific File to
identify physical geographic location of
a hospital and the MACs to identify
whether an urban hospital has
reclassified to rural under § 412.103 or
located in a rural census tract of an
MSA defined under § 412.103(a)(1).
Thus, we proposed to identify rural
hospitals, MDHs, SCHs and RRCs at the
time of reconciliation using the Provider
Specific File updated in December of
the end of the performance year and
information from the MACs, and those
hospitals would be subject to the 3
percent stop-loss limit policy for that
performance year 2, and 5 percent stoploss limit policy in performance years 3
through 5. For example, to identify the
hospitals that would receive a 3 percent
stop-loss limit for performance year 2,
we would use the Provider Specific File
updated in December 2017. We note
that the special Medicare payment
designation of MDH status has been
extended through FY 2017 by legislation
under the MACRA. As a result, the
proposed additional protections for
hospital responsibility for repayment for
MDHs would only apply to the extent
that MDH status exists under Medicare.
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In other words, should MDH expire on
or after September 30, 2017, we would
not identify hospitals as MDHs to
receive the 5-percent stop-loss limit
policy for performance year 3. Though
MDH status is set to expire after the
third quarter of 2017, we would still
identify MDHs to receive the 3-percent
stop loss limit policy for all of
performance year 2.
We note that we also considered
excluding rural hospitals, SCHs, MDHs
and RRCs from the CJR model altogether
due to our concerns of placing
significant responsibility for actual
episode payment above the target price
on these hospitals. Additionally, we
were also concerned that from an
evaluation perspective, we would not
have sufficient sample size of CJR
episodes from these categories of
hospitals to have significant results of
how these groups of hospitals perform
under this model. We weighed our
reasons for excluding these hospitals
with the potential qualitative
information we would gain from
payment innovation tests on rural
hospitals in this model. We concluded
that because the CJR model strives to
test episode payment for a broad variety
of hospitals, it would be preferable to
include these hospitals in the CJR model
and provide additional protections from
a large repayment responsibility. We
welcome public comment on our
proposed stop-loss limit for rural
hospitals, SCHs, MDHs and RRCs and
on our alternative consideration to
exclude these hospitals entirely from
the CJR model.
Comment: Several commenters
commented on our proposal to provide
a more protective stop-loss for rural
hospitals, SCHs, MDHs and RRCs. and
support of the more protective stop-loss
for rural hospitals, SCHs, MDHs and
RRCs in order to preserve access to care.
Some commenters suggested even more
protective stop-loss for these categories
of hospitals such as delaying downside
risk until Performance Year 3, not
providing for downside risk to these
hospitals or reducing downside to 1
percent in Performance Year 3, 3
percent in Performance Year Four, and
5 percent in Performance Year Five. We
also received comments that we should
exclude all-together rural hospitals,
SCHs, MDH and RRCs, because as we
had acknowledged in the proposed rule,
these hospitals may not be able to take
on financial risk under this model.
Response: We are interested in
including these categories of hospitals
in our model to see the impact of a
bundled payment model in providers
that may not otherwise participate in a
voluntary program and to better
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understand the generalizability of this
model. However, we recognize the
concerns that these categories of
hospitals may be less equipped to take
on risk and may be the only access of
care in their areas. Thus, we proposed
to provide for a more limited stop-loss
for these categories of hospitals at 3
percent for Performance Year 2 and 5
percent for Performance Years 3 through
5. We had proposed that rural hospitals,
MDHs, SCHs and RRCs would still have
the opportunity to participate in full
gains at 20 percent similar to other
hospitals in the model. While we would
provide for more limited downside risk
for these categories of hospitals for the
reasons previously stated, we believe
rural hospitals, MDHs, SCHs and RRCs
should have the opportunity to receive
the gains to the same extent as the other
hospitals in the model. We note that we
are finalizing to provide for a more
gradual stop-loss limit for all other
hospitals in the model where the stoploss limit is 5 percent in Performance
Year 2, 10 percent in Performance Year
3 and 20 percent in Performance Years
4–5. Additionally, we are finalizing that
the stop-gain limit would be
proportional to the stop-loss limit such
that in Performance Year 1–2, the stopgain limit would be 5 percent; in
Performance Year 3, the stop-gain limit
would be 10 percent; and in
Performance Years 4–5, the stop gain
limit would be 20 percent We believe
the our rationale described earlier in
this section to provide for a more
gradual transition to stop-gain limits
over the course of the model should
similarly apply to rural hospitals, SCHs,
MDHs and RRCs, particularly in light of
our concerns that these categories of
hospitals have lower risk tolerance and
less infrastructure and support to
achieve efficiencies for high payment
episodes. We want to ensure that any
performance gains by these categories of
hospitals are not based on random
variation but rather due to
implementing changes to achieve
efficiencies for high payment episodes.
Thus, we are finalizing a more gradual
stop-gain limit where the stop-gain limit
is 5 percent in Performance Year 2, 10
percent in Performance Year 3 and 20
percent in Performance Years 4–5 for all
hospitals in the model, including rural
hospitals, SCHs, MDHs and RRCs.
Comment: Some commenters
recommended that we apply the
protective stop-loss limits to other
categories of providers with similar lowrisk tolerance as rural hospitals, SCHs,
MDHs and RRCs. A commenter
suggested that we apply the protective
stop-loss limit to hospitals in
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73405
bankruptcy, or undergoing major
restructuring under State oversight like
safety net hospitals under the Medicaid
DSRIP waiver in New York. Another
commenter suggested that we provide a
protective stop-loss limit for urban
referral centers. Another commenter
requested that we provide risk corridors
for providers that partner with
participant hospitals such as IRFs and
SNFs.
Response: As described in the
proposed rule and finalized in this final
rule, we are providing additional
protections on repayment through more
limited stop-loss to certain categories of
hospitals that are financially responsible
for the 90-day episode spending in this
model. Because the provider at risk in
this model is the hospital, we believe it
is appropriate to provide for limits on
financial gain and repayment. We do
not believe it would be appropriate to
provide risk corridors for other types of
providers that may be involved in the
continuum of care in a 90 day episode
for LEJR such as PAC providers since
we will not be making a reconciliation
payment or recoupment to those
providers. Additionally, we have
provided more protective stop-loss
limits for certain categories of hospitals
that have been recognized by Medicare
through additional Medicare FFS
payment incentives as often being the
only access of care for Medicare
beneficiaries and thus it is in our
interest to both be able to keep them in
the model but recognizing their lower
risk tolerance. We do not believe it
would be appropriate to provide a
limited stop-loss to safety net hospitals
under the Medicaid DSRIP waiver in
New York. The CJR model addresses a
defined population (FFS Medicare
beneficiaries undergoing LEJR
procedures) for which there are
potentially avoidable expenditures
(arising from less than optimal care
coordination). We believe the DSRIP
waiver in New York, which is a waiver
provided under the Medicaid program,
does not directly impact Medicare FFS
payments or a hospital’s ability to be in
the CJR model at this time. If healthcare
transformation initiatives led by States
raise concerns about a participant
hospital’s ability to be in the model, we
would address the issue in future
rulemaking as necessary. Additionally,
we do not believe it would be
appropriate to carve out additional
protections for other types of hospitals
at this time because we want to
evaluate, in part, the model’s
generalizability, which becomes
challenging if we add more exceptions.
We will continue to monitor the effects
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of this model on different categories of
hospitals.
Comment: We received a comment
regarding our proposal to provide MDHs
with the more limited stop-loss until the
MDH payment status expires under
statute in 2017. The commenter
requested that we continue to provide
the more limited-stop loss for hospitals
currently classified as MDHs in the final
rule, if MDH status expires. The
commenter stated that while the higher
payments afforded to MDHs are set to
expire in 2017, the concerns on their
ability to bear risk and infrastructure
capacity issues will remain.
Response: We had proposed that
hospitals that maintain SCH, MDH or
RRC status during the performance year
would be subject to the protective stoploss limit. We understand the concern
that with the expiration of MDH status
under legislation in September 30, 2017,
hospitals will lose their MDH
designation and additional Medicare
FFS payments provided under the MDH
designation. Additionally, under the
expiration of MDH status, hospitals
would no longer qualify for the
protective stop-loss limit tied to that
status under this model. Should the
MDH payment status expire, some
MDHs may apply with their MACs to
determine if they qualify as an RRC or
SCH and would be able to maintain the
protective stop-loss limit in this model.
However, we believe it would be
inconsistent to apply the additional
benefit of protective stop-loss limits to
former MDHs when by law, those
hospitals are not permitted to retain the
other Medicare payment benefits
provided to MDHs. Additionally we
proposed and are finalizing to identify
MDHs at the time of reconciliation in
the Provider Specific File updated in
December of the end of the performance
year and information from the MACs
and the MDHs identified in that file
would be subject to the protective stoplimits. Should the MDH payment status
expire, the Provider Specific File would
no longer be updated by MACs to
identify hospitals that would have met
the expired MDH criteria as it would no
longer be a Medicare payment policy.
As a result, it would be operationally
challenging to appropriately identify the
hospitals that would have met the
criteria to receive MDH status and to
apply protective stop-loss to those
hospitals. In general, we recognize that
hospitals may change their status on an
annual basis during the course of this
model based on whether or not a
hospital can continue to meet the
criteria for the special payment
designation, and should a hospital no
longer meet the rural, SCH, MDH or
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RRC designation, it would no longer
receive the protective stop-loss limit.
Comment: Some comments requested
that urban hospitals that reclassify to
rural hospitals should be considered
rural and be subject to the more
protective stop-loss limits. The
commenters stated that we generally
consider hospitals that undergo urbanto-rural reclassification pursuant to
§ 412.103 as rural for all Medicare
payment purposes and we should
consistently treat them as rural under
this model and provide this category of
hospitals with the more protective stoploss limit.
Response: We agree with the
commenters that urban hospitals that
reclassify to rural under § 412.103
should be considered a rural hospital for
the purposes of this model and receive
the more limited stop-loss. We note that
we proposed to define rural hospitals as
an IPPS hospital that is either located in
a rural area in accordance with
§ 412.64(b) or in a rural census tract
within an MSA defined at
§ 412.103(a)(1) or has reclassified to
rural in accordance with § 412.103 and
to provide a more limited stop-loss for
such rural hospitals. However, we note
that rural hospitals were inadvertently
excluded from the proposed regulation
language at § 510.305(e)(1)(v)(E)
defining which categories of hospitals
would be subject to a lower stop-loss
limit. Thus, we are finalizing our
proposal to provide a more protective
stop-loss limit to rural hospitals as
previously defined, as well as MDHs,
SCHs and RRC, and will revise the
regulatory language at
§ 510.305(e)(1)(v)(E) to reflect our final
policy.
Comment: Some commenters were
concerned that hospitals with low
volume of LEJR episodes have a lower
risk tolerance, similar to rural hospitals,
SCHs, MDHs and RRCs, may be subject
to greater volatility in episode payments
and would not have adequate volume to
spread the risk of high cost episodes. A
commenter’s analysis showed that
volume is an important determinant of
per-episode spending where the average
loss was higher for hospitals with fewer
episodes. Commenters raised concerns
that hospitals with fewer episodes per
year may have fewer resources in terms
of capital to invest in data infrastructure
or care redesign. Commenters suggested
that we exclude low volume hospitals
from the model, remove downside risk
for low volume hospitals or provide a
lower stop-loss limit for these hospitals.
Commenters provided varying
definitions for what qualifies as a low
volume hospital ranging from 35 LEJR
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episodes per year to 100 LEJR episodes
per year.
Response: We believe that we can
address these concerns for low volume
hospitals by the other design changes
that we are finalizing in this final rule
to mitigate risk as participant hospitals
implement the necessary changes to
improve efficiencies for LEJR episodes
and quality of care. These changes made
in this final rule would alleviate
concerns for low volume hospitals such
that special policies for low volume
hospitals are not necessary. First, we
believe that the policy finalized in this
rule in response to public comments to
allow for a more gradual transition to
the stop-loss limit of 20 percent
beginning in Performance Year 4 will
alleviate the concerns of hospitals
bearing financial risk in a mandatory
model. Participant hospitals, including
low volume hospitals, will have
additional time to make changes in
response to the model and gradually
take on more upside and downside risk.
Second, we believe that our policy,
finalized in this rule, to risk stratify
MS–DRG 469 and MS–DRG 470 for hip
fractures will reduce the variability in
the episode costs. We acknowledge that
hip fractures can increase the 90 day
episode spend so by risk stratifying for
hip fracture, we are creating an episode
target price for MS–DRG 469 and MS–
DRG 470 with and without hip
fractures. For a hospital with a lower
volume of cases, the risk stratification
for hip fractures will mitigate variability
in episode costs if a hospital that has
fewer episodes treats higher proportion
of hip fracture cases. We disagree with
commenters that we should exclude low
volume hospitals from the model
because we are interested in evaluating
the experience of small providers and
the inclusion of these hospitals in the
model is part of our overall desire to see
the impact of a bundled payment model
in providers who would not otherwise
participate in a voluntary program. We
would be concerned that setting a
threshold for low volume could result in
hospital gaming in order to be below
that threshold and be excluded from the
model.
We are finalizing our proposal to
provide for a lower stop-loss limit for
rural hospitals, RRCs, MDHs and SCHs
and codifying this policy at
§ 510.305(e)(1)(v)(E). Additionally, we
are finalizing to provide a stop-gain
limit that correspond to the finalized
stop-loss limits for other hospitals in the
model such that the stop-gain limit is 5
percent in Performance Years 1 and 2,
10 percent in Performance Year 3 and
20 percent in Performance Years 4 and
5 that would apply to all hospitals in
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the model including rural hospitals,
MDHs, SCHs and RRCs. We are
codifying the establishment of stop-gain
limits in this model at
§ 510.305(e)(1)(v)(D).
d. Hospital Responsibility for Increased
Post-Episode Payments
We noted that while the proposed CJR
episode would extend 90-days postdischarge from the anchor
hospitalization, some hospitals may
have an incentive to withhold or delay
medically necessary care until after an
episode ends to reduce their actual
episode payments. We did not believe
this would be likely, especially given
the relatively long episode duration.
However, in order to identify and
address such inappropriate shifting of
care, we proposed to calculate for each
performance year the total Medicare
Parts A and B expenditures in the 30day period following completion of each
episode for all services covered under
Medicare Parts A and B, regardless of
whether the services are included in the
proposed episode definition (section
III.B. of the proposed rule), as is
consistent with BPCI Model 2. Because
we base the proposed episode definition
on exclusions, identified by MS–DRGs
for readmissions and ICD–9–CM
diagnosis codes for Part B services as
discussed in section III.B. of the
proposed rule, and Medicare
beneficiaries may typically receive a
wide variety of related (and unrelated)
services during the CJR episode that
extends 90 days following discharge
from the anchor hospitalization, there is
some potential for hospitals to
inappropriately withhold or delay a
variety of types of services until the
episode concludes, without attending
carefully to the episode definition,
especially for Part B services where
diagnosis coding on claims may be less
reliable. This inappropriate shifting
could include both those services that
are related to the episode (for which the
hospital would bear financial
responsibility as they would be
included in the actual episode spending
calculation) and those that are unrelated
(which would not be included in the
actual episode spending calculation),
because a hospital engaged in shifting of
medically necessary services outside the
episode for potential financial reward
may be unlikely to clearly distinguish
whether the services were related to the
episode or not in the hospital’s
decisions.
This calculation would include
prorated payments for services that
extend beyond the episode as discussed
in section III.C.3.b. of the proposed rule.
Specifically, we would identify whether
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the average 30-day post-episode
spending for a participant hospital in
any given performance year is greater
than three standard deviations above the
regional average 30-day post-episode
spending, based on the 30-day postepisode spending for episodes attributed
to all CJR regional hospitals in the same
region as the participant hospital. We
proposed that beginning in performance
year 2, if the hospital’s average postepisode spending exceeds this
threshold, the participant hospital
would repay Medicare for the amount
that exceeds such threshold, subject to
the stop-loss limits proposed elsewhere
in the proposed rule. We sought
comment on this proposal to make
participant hospitals responsible for
making repayments to Medicare based
on high spending in the 30 days after
the end of the episode and for our
proposed methodology to calculate the
threshold for high post-episode spend.
The following is a summary of the
comments received and our responses.
Comment: Some commenters opposed
the proposal entirely, finding that it
represented excessive monitoring of
LEJR episodes. Other commenters
supported monitoring 30 day postepisode spending, but requested certain
modifications to the proposal. Other
commenters supported our rationale to
monitor a hospital’s 30 day post-episode
spending to identify potential
inappropriate shifting of care, but they
opposed our proposal to require
participant hospitals to repay Medicare
for the amount of post-episode spend
that exceeds the threshold. Commenters
also requested that the categories of
services excluded from the episode
definition should also be excluded
when determining the 30 day postepisode spending because they found it
to be inappropriate to hold a hospital
responsible for unrelated services,
particularly those related to high-cost
conditions like the onset of therapy for
cancer or the sudden inclusion of
clotting factors for hemophilia. Lastly,
we received comments in support of our
proposal, agreeing that this approach
could help identify participant hospitals
that withhold or delay medically
necessary care until after an episode
ends in order to reduce their actual
episode spending. A commenter
suggested that rather than requiring a
participant hospital to repay Medicare
up to the stop-loss limit if they are
found to have excessive 30 day postepisode spending, we implement an
additional financial penalty for
participant hospitals that are found to
inappropriately delay care. The
commenter suggested that the penalty
should not be capped at the proposed
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stop-loss limit arguing that a hospital
that has already substantially exceeded
target prices and had to repay CMS
under the stop-loss limit will have little
incentive to refrain from stinting on care
unless a separate penalty exists.
Response: We continue to believe that
monitoring for 30 day post-episode
spending is an appropriate tool to
identify inappropriate shifts in care
based on our experience with BPCI. We
disagree with commenters that we
should exclude the same set of services
that are excluded from the episode
definition in the 30 day post-episode
spend because of concern that this
model could lead to shifting of both
related and unrelated (those not
included in the episode definition)
services due to some providers
encouraging delays of services for
beneficiaries that are not immediately
necessary, without discriminating
between those services that are in and
out of the episode definition.
Additionally, our experience with BPCI
that similarly includes all costs when
monitoring for 30 day post-episode
spending has helped to inform our
policy for the CJR model. Based on our
experience with BPCI, we have not
found that by including all costs to
measure 30 day post-episode spending,
that we are inappropriately penalizing
hospitals. While we understand
commenters’ concerns that hospitals
could be held responsible for high costs
conditions that are not included in the
episode definition, our policy aims to
strike a balance to hold participating
hospitals accountable for inappropriate
shifts or delays in care and to provide
hospitals with safeguards on financial
risk for 30 day post-episode spend. To
that end, we are setting a high threshold
where only hospitals that have a 30 day
post-episode spending average that is
three standard deviations above the
regional average would be subject to
repay that difference to Medicare, and
in the case where the hospital’s average
30 day post-episode spending exceeds
regional average 30 day post-episode
spending, the participant hospital
would repay Medicare for the amount
that exceeds such threshold, subject to
the stop loss limits. Additionally, we
disagree with the commenter that the
penalty for high post-episode spending
should not be capped at the proposed
stop-loss limit because we still want to
provide safeguards for high cost
spending for participant hospitals. We
note that, as described earlier, we are
finalizing to reduce the stop-loss limits
for Performance Year 2 and 3 to provide
participating hospitals a more gradual
transition to assume downside risk
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under this model so that repayment
under the 30 day post-episode spending
policy will be even more limited. We
note that participant hospitals that are
eligible for reconciliation payments in a
performance year that also have an
average 30 day post-episode spend that
is higher than three standard deviations
from the regional average 30 day postepisode spend would have their
reconciliation payments reduced by the
amount by which spending exceeds
three standard deviations.
Final Decision: After consideration of
the public comments we received, we
are finalizing the proposal as proposed
and codifying this policy at
§ 510.305(e)(1)(v)(A). We note that the
term ‘‘CJR eligible hospitals’’ is being
renamed to ‘‘CJR regional hospitals’’ as
discussed in response to comments in
section III.C.4.b.(4) of this final rule. CJR
regional hospitals are all IPPS hospitals
located in a region, including IPPS
hospitals that are participants in BPCI
Model 1 or in the risk bearing period of
Models 2 or 4 for LEJR episodes.
Accordingly, 30-day post-episode
spending for episodes attributed to all
IPPS hospitals including BPCI hospitals
in the same region as the participant
hospital would be included to
determine the value that is three
standard deviations greater than the
regional average 30 day post-episode
spend and to determine if a participant
hospital has excessive average 30 day
post-episode spending.
9. Appeal Procedures
Under the CJR model, we proposed
that we would determine target prices
for episodes of care using the
methodology described in section III.C.
of the proposed rule. We proposed to
institute a reconciliation payment
process as described in section III.C.6. of
the proposed rule, and we proposed to
retrospectively calculate a participant
hospital’s actual episode performance
relative to its target price after the
completion of each performance year.
The difference between the actual
episode spending of each CJR episode
and the target price of that episode
(calculated as target price subtracted by
CJR actual episode payment) would be
aggregated for all episodes initiated at a
participant hospital during each
performance year. This calculation for a
participant hospital would be adjusted
for post-episode payment increases and
stop gain and stop loss limits, as
described in section III.C.6.a. of the
proposed rule. We proposed to use
quality measure percentiles to
determine hospital eligibility to receive
the reconciliation payment and use the
successful reporting of the voluntary
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PRO THA/TKA data to adjust the
reconciliation payment, as described in
section III.C.5. of the proposed rule. The
NPRA would be reflected in a report
sent to the participant hospital called
the CJR Reconciliation Report.
We also proposed to institute appeals
processes for the CJR model that would
allow participant hospitals to appeal
matters related to reconciliation and
payment (that are previously discussed
in this section), as well as non-payment
related issues, such as enforcement
matters detailed in section III.C.12. of
this final rule.
a. Payment Processes
The proposed processes with regard
to reconciliation, payment, use of
quality measures to determine payment,
and stop-loss and stop-gain policies are
set forth in detail in sections III.C.5.
through 8. of this final rule. In this
section, we proposed an appeals process
that will apply to the matters addressed
in sections III.C.5 through 8. of this final
rule, as well as matters not related to
payment or reconciliation. These
appeals processes will apply to the
following payment and reconciliation
processes:
• Starting with the CJR Reconciliation
Report for performance year 1, if the CJR
Reconciliation Report indicates the
reconciliation amount is positive, CMS
would issue a payment, in a form and
manner specified by CMS, for that
amount to the awardee within 30
calendar days from the issue date of the
CJR Reconciliation Report, unless the
participant hospital selects to pursue
the calculation error and
reconsideration review processes, in
which case payment will be delayed as
detailed later in this section.
• For performance year 1, if the CJR
reconciliation report indicates a
repayment amount, the participant
hospital would not be required to make
payment for that amount to CMS, as we
have finalized our proposal not to hold
hospitals financially responsible for
negative NPRAs for the first
performance year. In addition, if it is
determined that a CJR hospital has a
positive NPRA for performance year 1,
and the subsequent calculation for
performance year 1 the following year,
as described in section III.C.6. of the
proposed rule, determines that in
aggregate the performance year 1 NPRA
and the subsequent calculation amount
for performance year 1 is a negative
value (adding together the NPRA
amount from the reconciliation for
performance year 1 as well as the
amount determined in the subsequent
calculation, which would be detailed on
the CJR reconciliation report for
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performance year 2), the hospital would
only be financially responsible for a
repayment amount that would net the
performance year 1 NPRA and
subsequent calculation for performance
year 1 to zero. This would be true for
performance year 1 only, given our
proposal to begin phasing in financial
responsibility in year 2 of the model as
discussed in section III.C.2.c. of the
proposed rule. For performance years 2
through 5 of the model, for example, if
there was a positive NPRA for
performance year 1 for a given hospital
of $3,000, and the subsequent
calculation performed in Q2 2018 to
account for claims run-out and overlaps
determined a repayment amount of
$3,500 for claims incurred and overlap
during performance year 1, $3,000
would be applied to the CJR
reconciliation report for performance
year 2. If the positive NPRA for
performance year 2 were $5,000, the
repayment amount of $3,000 would be
netted against the $5,000, and the
reconciliation payment for performance
year 2 would be $2,000. Given that
downside risk has been waived for
performance year 1, the remaining $500
would not be added to the CJR
reconciliation report for performance
year 2. However, beginning with the
reconciliation process for performance
year 3, any repayment amounts
generated through the subsequent
calculation process detailed in section
III.C.6.b. of this final rule would be
netted against any repayment or
reconciliation amount on the respective
CJR reconciliation reports for
performance years 2, 3, 4, and 5.
Starting with the reconciliation for
performance year 2, if the CJR
Reconciliation Report indicates the
NPRA is negative, the participant
hospital would make payment for the
absolute value of that amount to CMS
within 30-calendar days from the issue
date of the CJR Reconciliation Report, in
a form and manner specified by CMS.
For example, if there was a positive
NPRA for performance year 3 for a given
hospital of $1,000, and the subsequent
calculation performed in Q2 2019 to
account for claims run-out and overlaps
determined a repayment amount of
$2,500 for claims incurred and overlap
during performance year 3, the full
$2,500 would be applied to the CJR
reconciliation report for performance
year 4, subject to the stop loss/stop gain
limits detailed in section III.C.8. of this
final rule. Thus, if the positive NPRA for
performance year 4 were $2,000, the
repayment amount of $2,500 would be
netted against the $2,000, and a
repayment amount for performance year
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4 would be $500. Where the participant
hospital does not issue payment within
30-calendar days, we will issue a
demand letter requiring payment be
made immediately.
• The reconciliation or repayment
amount may include adjustments,
arising from matters from the previous
performance year, as necessary to
account for subsequent calculations
performed for performance years that
were specified in earlier CJR
Reconciliation Reports, as discussed in
section III.C.6. of the proposed rule. For
example, we would potentially make
determinations of additional monies
owed by Medicare to participant
hospitals or vice versa in subsequent
periods based on the availability of
updated Medicare administrative data.
These subsequent calculations would be
contained in the succeeding
reconciliation report. For example, the
subsequent calculations applicable to
performance year 1 would be contained
in the reconciliation report for
performance year 2.
• If the participant hospital fails to
pay CMS the amount owed by the date
indicated in the demand letter, CMS
will recoup owed monies from
participant hospital’s present and future
Medicare payments to collect all monies
due to CMS. While we proposed that a
participant hospital may enter into
financial arrangements with CJR
collaborators that allow for some risksharing, as discussed in section III.C. of
the proposed rule, the participant
hospital would be solely liable for the
repayment of the negative repayment
amount to CMS. Where the participant
hospital fails to repay CMS in full for all
monies owed, CMS would invoke all
legal means to collect the debt,
including referral of the remaining debt
to the United States Department of the
Treasury, pursuant to 31 U.S.C. 3711(g).
b. Calculation Error
We proposed the following
calculation error process for participant
hospitals to contest matters related to
payment or reconciliation, of which the
following is a non-exhaustive list: The
calculation of the participant hospital’s
reconciliation amount or repayment
amount as reflected on a CJR
reconciliation report; the calculation of
NPRA; the calculation of the percentiles
of quality measure performance to
determine eligibility to receive a
reconciliation payment; and the
successful reporting of the voluntary
PRO THA/TKA data to adjust the
reconciliation payment. Participant
hospitals would review their CJR
reconciliation report and be required to
provide written notice of any error, in
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a notice of calculation error that must be
submitted in a form and manner
specified by CMS. Unless the
participant provides such notice, the
reconciliation report would be deemed
final within 30 calendar days after it is
issued, and CMS would proceed with
payment or repayment. If CMS receives
a timely notice of an error in the
calculation, CMS would respond in
writing within 30 calendar days to
either confirm or refute the calculation
error, although CMS would reserve the
right to an extension upon written
notice to the participant hospital. We
proposed that if a participant hospital
does not submit timely notice of
calculation error in accordance with the
timelines and processes specified by
CMS, the participant hospital would be
precluded from later contesting any of
the following matters contained in the
CJR reconciliation report for that
performance year: Any matter involving
the calculation of the participant
hospital’s reconciliation amount or
repayment amount as reflected on a CJR
reconciliation report; any matter
involving the calculation of NPRA; the
calculation of the percentiles of quality
measure performance to determine
eligibility to receive a reconciliation
payment; and the successful reporting of
the voluntary PRO THA/TKA data to
adjust the reconciliation payment.
c. Dispute Resolution
(1) Limitations on Review
In accordance with section 1115A(d)
of the Act, there is no administrative or
judicial review under sections 1869 or
1878 of the Act or otherwise for the
following:
• The selection of models for testing
or expansion under section 1115A of the
Act.
• The selection of organizations, sites
or participants to test those models
selected.
• The elements, parameters, scope,
and duration of such models for testing
or dissemination.
• Determinations regarding budget
neutrality under subsection 1115A(b)(3)
of the Act.
• The termination or modification of
the design and implementation of a
model under subsection 1115A(b)(3)(B)
of the Act.
• Decisions about expansion of the
duration and scope of a model under
subsection 1115A(c) of the Act,
including the determination that a
model is not expected to meet criteria
described in paragraph (1) or (2) of such
subsection.
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73409
(2) Matters Subject To Dispute
Resolution
We proposed that a participant
hospital may appeal an initial
determination that is not precluded
from administrative or judicial review
by requesting reconsideration review by
a CMS official. The request for review
must be submitted for receipt by CMS
within 10 days of the notice of the
initial determination, in a form and
manner specified by CMS.
(3) Dispute Resolution Process
We proposed the following dispute
resolution process. First, we proposed
that only a participant hospital may
utilize the dispute resolution process.
Second, in order to access the dispute
resolution process a participant hospital
must have timely submitted a notice of
calculation error, as previously
discussed, for any matters related to
payment. We proposed these matters
would include any amount or
calculation indicated on a CJR
reconciliation report, including
calculations not specifically reflected on
a CJR reconciliation report but which
generated figures or amounts reflected
on a CJR reconciliation report. The
following is a non-exhaustive list of the
matters we proposed would need to be
first adjudicated by the calculation error
process as previously detailed:
Calculations of reconciliation or
repayment amounts; calculations of
NPRA; and any calculations or
percentile distribution involving quality
measures that we proposed could affect
reconciliation or repayment amounts. If
a participant hospital wants to engage in
the dispute resolution process with
regard to one of these matters, we
proposed it would first need to submit
a notice of calculation error. Where the
participant hospital does not timely
submit a notice of calculation error, we
proposed the dispute resolution process
would not be available to the participant
hospital with regard to those matters for
the reconciliation report for that
performance year.
If the participant hospital did timely
submit a notice of calculation error and
the participant hospital is dissatisfied
with CMS’s response to the participant
hospital’s notice of calculation error, the
hospital would be permitted to request
reconsideration review by a CMS
reconsideration official. The
reconsideration review request would
be submitted in a form and manner and
to an individual or office specified by
CMS. The reconsideration review
request would provide a detailed
explanation of the basis for the dispute
and include supporting documentation
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for the participant hospital’s assertion
that CMS or its representatives did not
accurately calculate the NPRA or postepisode spending amount in accordance
with CJR rules. The following is a nonexhaustive list of representative
payment matters:
• Calculations of NPRA, post-episode
spending amount, target prices or any
items listed on a reconciliation report.
• The application of quality measures
to a reconciliation payment, including
the calculation of the percentiles
thresholds of quality measure
performance to determine eligibility to
receive reconciliation payments, or the
successful reporting of the voluntary
PRO THA/TKA data to adjust the
reconciliation payment.
• Any contestation based on the
grounds that CMS or its representative
made an error in calculating or
recording such amounts.
Where the matter is unrelated to
payment, such as termination from the
model, the participant hospital need not
submit a notice of calculation error. We
proposed to require the participant
hospital to timely submit a request for
reconsideration review, in a form and
manner to be determined by CMS.
Where such request is timely received,
we proposed CMS would process the
request as discussed later in this
section.
We proposed that the reconsideration
review would be an on-the-record
review (a review of briefs and evidence
only). The CMS reconsideration official
would make reasonable efforts to notify
the hospital in writing within 15
calendar days of receiving the
participant hospital’s reconsideration
review request of the date and time of
the review, the issues in dispute, the
review procedures, and the procedures
(including format and deadlines) for
submission of evidence (the
‘‘Scheduling Notice’’). The CMS
reconsideration official would make
reasonable efforts to schedule the
review to occur no later than 30
calendar days after the date of the
Scheduling Notice. The provisions at
§ 425.804(b), (c), and (e) will apply to
reviews conducted pursuant to the
reconsideration review process for CJR.
The CMS reconsideration official would
make reasonable efforts to issue a
written determination within 30 days of
the review. The determination would be
final and binding.
We solicited comment on our
proposals related to appeals rights
under this model. The two-step appeal
process for payment matters—(1) Notice
of calculation error, and (2)
reconsideration review—is used broadly
in other CMS models. We sought
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comment on whether we should
develop an alternative appeal process.
We are also interested in whether there
should be appeal rights for reductions or
eliminations of NPRA as a result of
enforcement actions, as discussed in
section III.C.12. of the proposed rule,
and if so, whether the process for such
appeals should differ from the processes
proposed here.
The following is a summary of the
comments received and our responses.
Comment: The comments we received
on the calculation error process varied
widely. Multiple commenters were
supportive of the process, including
commenters that have experience in
BPCI, in which an identical calculation
error process is used. A majority of the
comments recommended that CMS
extend the timeframe for appeals under
the calculation error process.
Commenters indicated that they
appreciated CMS providing details of an
appeal procedure, but many suggested
that the 30-day timeframe for
submission of a notice of calculation
error is too short. Some commenters
offered proposals for longer periods;
specifically, we received separate
comments indicating that 45 days, 60
days, or 180 days would be acceptable
timeframes. With regard to the proposal
to allow for 180 days, multiple
commenters noted that this timeframe is
similar to the timeframe afforded
hospitals to appeal adjustments in the
Medicare Cost Report. Multiple
commenters also noted that a longer
timeframe for notices of calculation
error may benefit participant hospitals
in providing additional time to identify
and understand calculation errors.
Response: We appreciate these
comments and are sympathetic to the
requests from commenters for more time
to review reconciliation reports and
submit notices of calculation error. We
agree with commenters that providing
additional time may benefit some
participant hospitals in identifying and
understanding calculation errors. We
are committed to paying participant
hospitals accurately and correctly and
believe that the calculation error process
serves an important function in
achieving that goal.
CMS uses the following processes for
appeals that we are finalizing in section
III.C.9. of this final rule. The procedures
for processing and issuing reconciliation
payments and repayments require that
we submit the payment files for
participant hospitals to the payment
systems in batches. CMS uses these
processes for several reasons. It is
administratively more efficient to
continue to use MACs to issue payments
to all providers and suppliers that
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furnish services to beneficiaries during
a CJR episode, so as not to disrupt the
timing of FFS payments that providers
and suppliers normally receive. For
reconciliation payments and
repayments, CMS has developed a
process for processing these payments,
which is used for other CMS models.
This current process is the result of a
substantial number of infrastructure
changes to payment and recoupment
procedures that were made over a
period of several years. As a result, we
believe it is appropriate to utilize those
processes for the CJR model, given that
the challenges associated with
establishing these processes, as well as
the fact that they were created for other
CMS models.
The effect of these processes is that
the batches are sent at specified
intervals. The first batch is sent after the
calculation error timeframe closes. The
second batch is sent after CMS has
responded to the notices of calculation
error of participant hospitals and those
hospitals choose to not proceed with the
dispute resolution process detailed in
section III.C.9.b.(3) of this final rule. The
final batch is sent after CMS has
adjudicated all of the reconsideration
reviews for those participant hospitals
that selected to utilize the dispute
resolution process.
Given these processes, any extension
in the timeframe allowed for submission
of notices of calculation error delays
payment not only to participant
hospitals that choose to utilize the
calculation error and dispute resolution
processes, but even those participant
hospitals that choose not to engage in
these processes. As such, we believe the
need for extending the deadline for
submission of notices of calculation
error should be balanced with CMS’
goal to issue reconciliation payments
and repayments promptly, as an
extension for these submissions would
delay the processing of reconciliation
payments for all participant hospitals
for a significant period of time.
However, we acknowledge the
commenters’ concerns and the need for
participant hospitals to have adequate
time to analyze and prepare notices of
calculation error.
Therefore, we believe that a longer
timeframe for submission of the
calculation error form is appropriate for
the CJR model, given that CMS is
reconciling on an annual basis, as
opposed to quarterly for the BPCI
initiative. Given that participant
hospitals in CJR are likely have a larger
subset of data to review on their annual
reconciliation reports than their BPCI
counterparts who receive quarterly
reconciliation reports, we believe it is
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prudent for CMS to allow additional
time for participant hospitals to review
their reconciliation reports for
calculation errors. We agree with the
commenters who suggested that 45 days
would allow sufficient time for
participant hospitals to review
reconciliation reports, and if they
choose, submit notices of calculation
error. We believe that 45 days is the
appropriate timeframe to allow for this
process, as it responds to the requests
for more time than our proposal of 30
days, but does not seriously delay
payment of reconciliation payments, in
the way in which a submission
timeframe of 180 days would do. We
considered the recommendations for 60
days, but we rejected these
recommendations because we note that
the calculation error form represents the
first step in a two-step appeals process.
Where a participant hospital submits a
calculation form and is dissatisfied with
CMS’ response, the dispute resolution
option is available to the participant
hospital via a reconsideration review
request. Upon receipt of a
reconsideration review request, the date
of such a review would be scheduled by
CMS approximately 130 days from the
issue date of the reconciliation report.
Thus, we believe that the option for
reconsideration review, at a much later
date, provides participant hospitals with
adequate additional time to analyze the
date on reconciliation reports, that a 60day submission deadline for the
calculation error form is unnecessary.
Finally, we believe that extending this
period to 45 days appropriately balances
the goal of CMS to process
reconciliation payments on a timely
basis with the needs of participant
hospitals to have adequate time to
review their reconciliation reports and
submit notices of calculation error.
Final Decision: After consideration of
the public comments we received, we
are finalizing the proposal with one
modification to allow participant
hospitals 45 days to submit a
calculation error form. We are finalizing
our proposal to process and issue
reconciliation payments and collect
repayments as described in section
III.C.6. of this final rule, and to allow for
an optional appeals process, as
previously described in this section, in
which participant hospitals may submit
a calculation error form, as well as have
an opportunity to engage in dispute
resolution.
With regard to the calculation error
process, we are finalizing our proposal
with one modification. Participant
hospitals may submit a calculation error
form to contest matters related to
payment or reconciliation, of which the
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following is a non-exhaustive list: The
calculation of the participant hospital’s
reconciliation amount or repayment
amount as reflected on a CJR
reconciliation report; the calculation of
NPRA; the calculation of the percentiles
of quality measure performance to
determine eligibility to receive a
reconciliation payment; and the
successful reporting of the voluntary
PRO THA/TKA data to adjust the
reconciliation payment. Upon receipt of
its CJR reconciliation report, the
participant hospital may choose to
submit a calculation error form. The
form must be submitted in a form and
manner specified by CMS. Unless the
participant provides such notice, the
reconciliation report will be deemed
final within 45 calendar days after it is
issued, and CMS will proceed with
payment or repayment. If CMS receives
a timely notice of an error in the
calculation, CMS will respond in
writing within 30 calendar days to
either confirm or refute the calculation
error, although CMS reserves the right to
an extension upon written notice to the
participant hospital. If a participant
hospital does not submit timely notice
of calculation error in accordance with
the timelines and processes specified by
CMS, the participant hospital is
precluded from later contesting any of
the following matters contained in the
CJR reconciliation report for that
performance year: any matter involving
the calculation of the participant
hospital’s reconciliation amount or
repayment amount as reflected on a CJR
reconciliation report; any matter
involving the calculation of NPRA; the
calculation of the percentiles of quality
measure performance to determine
eligibility to receive a reconciliation
payment; and the successful reporting of
the voluntary PRO THA/TKA data to
adjust the reconciliation payment.
With regard to the dispute resolution
process, we are finalizing our proposal
without modification. In accordance
with section 1115A(d) of the Act, there
is no administrative or judicial review
under sections 1869 or 1878 of the Act
or otherwise for the following:
• The selection of models for testing
or expansion under section 1115A of the
Act.
• The selection of organizations, sites
or participants to test those models
selected.
• The elements, parameters, scope,
and duration of such models for testing
or dissemination.
• Determinations regarding budget
neutrality under subsection 1115A(b)(3)
of the Act.
• The termination or modification of
the design and implementation of a
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model under subsection 1115A(b)(3)(B
of the Act.
• Decisions about expansion of the
duration and scope of a model under
subsection 1115A(c), including the
determination that a model is not
expected to meet criteria described in
paragraph (1) or (2) of such subsection.
We are also finalizing our proposal
without modification regarding the
matters subject to dispute resolution,
and the process CMS will use to
adjudicate dispute resolution matters.
Thus, a participant hospital may appeal
an initial determination that is not
precluded from administrative or
judicial review by requesting
reconsideration review by a CMS
official. The request for review must be
submitted for receipt by CMS within 10
days of the notice of the initial
determination, in a form and manner
specified by CMS. Only a participant
hospital may utilize the dispute
resolution process.
In order to access the dispute
resolution process, a participant
hospital must timely submit a
calculation error form, as previously
discussed, for any matters related to
payment. These matters include any
amount or calculation indicated on a
CJR reconciliation report, including
calculations not specifically reflected on
a CJR reconciliation report but which
generated figures or amounts reflected
on a CJR reconciliation report. The
following is a non-exhaustive list of the
matters that we are requiring must be
first adjudicated by the calculation error
process as previously detailed:
Calculations of reconciliation or
repayment amounts; calculations of
NPRA; and any calculations or
percentile distribution involving quality
measures that we proposed could affect
reconciliation or repayment amounts. If
a participant hospital wants to engage in
the dispute resolution process with
regard to one of these matters, the
participant hospital must first submit a
calculation error form. Where the
participant hospital does not timely
submit a calculation error form, the
dispute resolution process is not
available to the participant hospital
with regard to those matters for the
reconciliation report for that
performance year.
If the participant hospital does timely
submit a calculation error form and the
participant hospital is dissatisfied with
CMS’s response to the participant
hospital’s calculation error form, the
hospital is permitted to request
reconsideration review by a CMS
reconsideration official. The
reconsideration review request must be
submitted in a form and manner and to
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an individual or office specified by
CMS. The reconsideration review
request must provide a detailed
explanation of the basis for the dispute
and include supporting documentation
for the participant hospital’s assertion
that CMS or its representatives did not
accurately calculate the NPRA or postepisode spending amount in accordance
with CJR rules. The following is a nonexhaustive list of representative
payment matters:
• Calculations of NPRA, post-episode
spending amount, target prices or any
items listed on a reconciliation report.
• The application of quality measures
to a reconciliation payment, including
the calculation of the percentiles
thresholds of quality measure
performance to determine eligibility to
receive reconciliation payments, or the
successful reporting of the voluntary
PRO THA/TKA data to adjust the
reconciliation payment.
• Any contestation based on the
grounds that CMS or its representative
made an error in calculating or
recording such amounts.
Lastly, we are finalizing our proposal
without modification that the
reconsideration review is an on-therecord review (a review of briefs and
evidence only). The CMS
reconsideration official will make
reasonable efforts to notify the hospital
in writing within 15 calendar days of
receiving the participant hospital’s
reconsideration review request of the
date and time of the review, the issues
in dispute, the review procedures, and
the procedures (including format and
deadlines) for submission of evidence
(the ‘‘Scheduling Notice’’). The CMS
reconsideration official will make
reasonable efforts to schedule the
review to occur no later than 30
calendar days after the date of the
Scheduling Notice. The provisions at
§ 425.804(b), (c), and (e) will apply to
reviews conducted pursuant to the
reconsideration review process for CJR.
The CMS reconsideration official will
make reasonable efforts to issue a
written determination within 30 days of
the review. The determination will be
final and binding.
This modification is set forth in
§ 510.310(a)(1). The remainder of the
proposal is finalized as proposed and
set forth in § 510.310.
10. Financial Arrangements and
Beneficiary Incentives
a. Financial Arrangements
As previously noted, in the proposed
rule we stated our belief that given the
financial incentives of episode payment
in CJR, participant hospitals in the
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model might want to engage in financial
arrangements to share reconciliation
payments or hospital internal cost
savings or both, as well as responsibility
for repaying Medicare, with providers
and suppliers making contributions to
the hospital’s episode performance on
spending and quality. Such
arrangements would allow the
participant hospitals to share all or
some of the reconciliation payments
they may be eligible to receive from
CMS, or the participant hospital’s
internal cost savings that result from
care for beneficiaries during a CJR
episode. Likewise, such arrangements
could allow the participant hospitals to
share the responsibility for the funds
needed to repay Medicare with
providers and suppliers engaged in
caring for CJR beneficiaries, if those
providers and suppliers have a role in
the hospital’s episode spending or
quality performance. We use the term
‘‘CJR collaborator’’ to refer to such
providers and suppliers, who we
proposed may include the following:
• SNFs.
• HHAs.
• LTCHs.
• IRFs.
• PGPs.
• Physicians, nonphysician
practitioners, and providers or suppliers
of therapy services.
We stated our belief that CJR
collaborators should have a role in the
participant hospital’s episode spending
or quality performance. Accordingly, we
proposed that the CJR collaborator
would directly furnish related items or
services to a CJR beneficiary during the
episode and/or specifically participate
in CJR model LEJR episode care
redesign activities, such as attending
CJR meetings and learning activities;
drafting LEJR episode care pathways;
reviewing CJR beneficiaries’ clinical
courses; developing episode analytics;
or preparing reports of episode
performance under the direction of the
participant hospital or a CJR
collaborator that directly furnishes
related items and services to CJR
beneficiaries. We also stated that in
addition to playing a role in the
participant hospital’s episode spending
or quality performance, physician,
nonphysician, and PGP CJR
collaborators must directly furnish
services to CJR beneficiaries in order to
receive a gainsharing payment as result
of their financial arrangement with the
participant hospital. We sought
comment on our proposed definition of
CJR collaborators, as well as our
proposed definition of a provider’s or
supplier’s role in the participant
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hospital’s episode spending or quality
performance.
We proposed that certain financial
arrangements between a participant
hospital and a CJR collaborator be
termed a ‘‘CJR sharing arrangement,’’
and that the terms of each CJR sharing
arrangement be set forth in a written
agreement between the participant
hospital and the CJR collaborator. We
proposed to use the term ‘‘Participation
Agreement’’ to refer to such agreements.
We proposed that a ‘‘CJR sharing
arrangement’’ would be a financial
arrangement contained in a
Participation Agreement to share only
the following: (1) CJR reconciliation
payments (as that term is defined in
section III.C. of the proposed rule); (2)
the participant hospital’s internal cost
savings (as that term is defined later in
this section); and (3) the participant
hospital’s responsibility for repayment
to Medicare, as discussed later in this
section. Where a payment from a
participant hospital to a CJR
collaborator is made pursuant to a CJR
sharing arrangement, we proposed to
define that payment as a ‘‘gainsharing
payment.’’ A gainsharing payment may
only be only composed of the following:
(1) Reconciliation payments; (2) internal
cost savings; or (3) both. Where a
payment from a CJR collaborator to a
participant hospital is made pursuant to
a CJR sharing arrangement, we proposed
to define that payment as an ‘‘alignment
payment.’’ We proposed that CJR
sharing arrangements that provide for
alignment payments would not relieve
the participant hospital of its ultimate
responsibility for repayment to CMS.
Many of the programmatic requirements
discussed later in this final rule for
gainsharing payments and alignment
payments are similar to those in Model
2 of the BPCI initiative.
CJR sharing arrangements must be
solely related to the contributions of the
CJR collaborators to care redesign that
achieve quality and efficiency
improvements under this model for CJR
beneficiaries. All gainsharing payments
or alignment payments between
participant hospitals and CJR
collaborators resulting from these
arrangements must be auditable by
HHS, as discussed later in this section,
to ensure their financial and
programmatic integrity. We emphasized
that any CJR collaborator that receives a
gainsharing payment or makes an
alignment payment must have furnished
services included in the episode to CJR
beneficiaries. Furthermore, the payment
arrangements for gainsharing payments
or alignment payments contained in a
CJR sharing arrangement must be
actually and proportionally related to
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the care of beneficiaries in a CJR
episode, and the CJR collaborator must
be contributing to the care redesign
strategies of the participant hospital.
We considered whether CJR
collaborators should be termed
‘‘participants’’ in this model, or whether
the term ‘‘participant’’ should refer only
to the participant hospitals located in
MSAs selected for participation. If CJR
collaborators are participants in the
model, we proposed that their activities
with regard to CJR beneficiaries would
be regulated directly by CMS. However,
if CJR collaborators are not participants,
but rather are participating entities and
individuals in the CJR model through
signed agreements with participant
hospitals, their activities with regard to
CJR beneficiaries would be governed by
the Participation Agreement between a
CJR collaborator and a participant
hospital. Given the large number of
potential CJR collaborators, the expected
varied nature of their respective
arrangements with participant hospitals,
and the potential administrative burden
in reporting information to CMS, we
believed the activities of CJR
collaborators with regard to CJR
beneficiaries would be best managed by
participant hospitals. As we discussed
earlier in this final rule, one justification
for proposing that acute care hospitals
be the provider type financially
responsible under the CJR model is the
position of the hospital with respect to
other providers and suppliers, in terms
of coordinating care for CJR
beneficiaries. Given that position, we
proposed that where participant
hospitals enter into Participation
Agreements that contain CJR sharing
arrangements, the participant hospital
must also be responsible for ensuring
that those providers and suppliers
comply with the terms and
requirements of the proposed rule. We
sought comments on this proposal;
specifically, whether CJR collaborators
should be termed participants in this
model and subject to the applicable
requirements, or whether the
responsibility for compliance with the
model’s requirements is better managed
by participant hospitals. We were
particularly interested in comments that
address the advantages and
disadvantages of making CJR
collaborators participants in the model,
and whether there are certain provider
or supplier types that CMS should
consider including as ‘‘participants’’ in
the model.
The following discussion outlines our
proposed requirements and
responsibilities of participant hospitals
that engage in such CJR sharing
arrangements. In the proposed rule, we
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stated our belief that these proposed
requirements and responsibilities are
essential to ensuring that all CJR sharing
arrangements are for the sole purpose of
aligning the financial incentives of
collaborating providers and suppliers
with those of the participant hospital
toward the CJR model goals of improved
LEJR episode care quality and
efficiency. We believed that the
rationale for and details of these
arrangements must be documented and
auditable by HHS, with a direct
connection to the arrangements and the
participant hospital’s episode
performance. Finally, we believed that
the proposed limitations to the
arrangements, as described later in this
section, are necessary to ensure the
integrity of the CJR model by
minimizing incentives for problematic
behaviors, such as patient steering. We
sought comments on all proposed
requirements regarding CJR sharing
arrangements.
With respect to whether certain
entities or individuals should be
prevented from participating in the CJR
model, either as participant hospitals or
CJR collaborators, we considered
whether CMS should conduct screening
for program integrity purposes. Many
CMS models conduct screening during
the application process and periodically
thereafter. These screenings examine
provider and supplier program integrity
history, including any history of
Medicare program exclusions or other
sanctions and affiliations with
individuals or entities that have a
history of program integrity issues.
Where a screening reveals that a
provider or supplier has a history of
program integrity issues or affiliations
with individuals or entities that have a
history of program integrity issues, we
may remove that provider or supplier
from the model. We utilize these
screening processes for many CMS
models, including the BPCI initiative.
For several reasons, in the proposed
rule we stated our belief that this type
of screening for participant hospitals
would be inapplicable to the CJR model.
Most importantly, this model seeks to
evaluate the performance in the model
of hospitals located in a particular MSA.
We believed it is important that all
hospitals that meet the criteria for
participation in the model be included.
Further, in section III.F. of the proposed
rule we proposed that CMS would
evaluate the quality of care and institute
beneficiary protections via a monitoring
plan that in ways that would go beyond
some of the efforts of previous or
existing CMS models. We solicited
comments on this proposal, including
whether screening of participant
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73413
hospitals or CJR collaborators might be
appropriate or useful in aiding HHS’
program integrity efforts and identifying
untrustworthy parties or parties with
program integrity history problems.
(1) CJR Sharing Arrangement
Requirements
We proposed that each CJR sharing
arrangement must include and set forth
in writing at a minimum—
• A specific methodology and
accounting formula for calculating and
verifying internal cost savings, if the
participant hospital elects to share
internal cost savings through
gainsharing payments with CJR
collaborators. We proposed to define
internal cost savings as the measurable,
actual, and verifiable cost savings
realized by the participant hospital
resulting from care redesign undertaken
by the participant hospital in
connection with providing items and
services to beneficiaries within specific
CJR episodes of care. Internal cost
savings would not include savings
realized by any individual or entity that
is not the participant hospital. Each CJR
sharing arrangement must include
specific methodologies for accruing and
calculating internal cost savings of the
participant hospital, where the hospital
intends to share internal cost savings
through a CJR sharing arrangement. The
specific methodologies for accruing and
calculating internal cost savings must be
transparent, measurable, and verifiable
in accordance with Generally Accepted
Accounting Principles (GAAP) and
Government Auditing Standards (The
Yellow Book). The methodology must
set out the specific care redesign
elements to be undertaken by the
participant hospital or the CJR
collaborator or both;
• A description of the methodology
and accounting formula for calculating
the percentage or dollar amount of a
reconciliation payment received from
CMS that will be paid as a gainsharing
payment from the participant hospital to
the CJR collaborator;
• A description of the methodology,
frequency or dates of distribution, and
accounting formula for distributing and
verifying any and all gainsharing
payments;
• A description of the arrangement
between the participant hospital and the
CJR collaborator regarding alignment
payments, where the hospital and CJR
collaborator agree through a CJR sharing
arrangement to share risk for repayment
amounts due to CMS, as reflected on a
CJR reconciliation report. The
description of this arrangement must
include safeguards to ensure that such
alignment payments are made solely for
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purposes related to sharing
responsibility for funds needed to repay
Medicare in the CJR model. This
description should also include a
methodology, frequency of payment,
and accounting formula for payment
and receipt of any and all alignment
payments;
• A provision requiring the
participant hospital to recoup
gainsharing payments paid to CJR
collaborators if gainsharing payments
were based on the submission of false or
fraudulent data;
• Plans regarding care redesign,
changes in care coordination or delivery
that are applied to the participant
hospital or CJR collaborators or both,
and any description of how success will
be measured;
• Management and staffing
information, including type of
personnel or contactors that will be
primarily responsible for carrying out
changes to care under the model;
• The participant hospital must
maintain records identifying all CJR
collaborators, and the participant
hospital’s process for determining and
verifying the eligibility of CJR
collaborators to participate in Medicare;
and
• All CJR sharing arrangements must
require compliance, from both the
participant hospital and the CJR
collaborator, with the policies regarding
beneficiary notification set forth in
section III.F. of the final rule.
With respect to these requirements for
Participation Agreements and CJR
sharing arrangements, we considered
whether we should require participant
hospitals and CJR collaborators to
periodically report this information to
CMS for purposes of enforcement of
these proposed regulations. However,
we are mindful of the administrative
burden in reporting this information as
well as the challenges associated with
creating a universal collection tool that
would account for all the various
iterations of financial arrangements into
which participant hospitals and CJR
collaborators may enter. We sought
comment on this proposal as well as
whether CMS should require participant
hospitals and CJR collaborators to
periodically report data such as:
Gainsharing payments and/or alignment
payments distributed and received;
name and identifier (NPI, CCN, TIN) of
all CJR collaborators; and any other
relevant information related to
Participation Agreements and CJR
sharing arrangements that would assist
HHS with enforcement of these
regulations.
We solicited comments about all of
the requirements set out in the
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preceding discussion, including
whether additional or different
safeguards would be needed to ensure
program integrity, protect against abuse,
and ensure that the goals of the model
are met.
(2) Participation Agreement
Requirements
We proposed that the Participation
Agreement must obligate the parties to
comply, and must obligate the CJR
collaborator to require any of its
employees, contractors or designees to
comply, without limitation, with the
following requirements:
• Each individual’s or entity’s
participation in the CJR sharing
arrangement is voluntary and without
penalty for nonparticipation.
• Any gainsharing payments made
pursuant to a CJR sharing arrangement
must be made only from the participant
hospital to the CJR collaborator with
whom the participant hospital has
signed a Participation Agreement
containing a CJR sharing arrangement.
Additionally, we proposed to require
the following for all CJR sharing
arrangements between a participant
hospital and a CJR collaborator that is a
PGP:
+ Where a gainsharing payment is
made to a CJR collaborator that is a PGP,
all monies contained in such a
gainsharing payment must be shared
only with physician or nonphysician
practitioners that furnished a service to
a CJR beneficiary during an episode of
care in the calendar year from which the
Net Payment Reconciliation Amount
(NPRA), as that term is defined in
section III.C.6. of this final rule, or
internal cost savings was generated,
either or both of which are the only
permitted sources of funds for a
gainsharing payment. We further
proposed that each CJR sharing
arrangement between a participant
hospital and a CJR collaborator that is a
PGP must stipulate that the PGP may
not retain any portion of a gainsharing
payment or distribute, by any method,
any portion of a gainsharing payment to
physician or nonphysician practitioners
who did not furnish a service to a CJR
beneficiary during an episode of care in
the calendar year from which the NPRA
or internal cost savings was generated.
• Any alignment payments made
pursuant to a CJR sharing arrangement
may be made only to the participant
hospital from the entity or individual
with whom the participant hospital has
signed a Participation Agreement
containing a CJR sharing arrangement.
• Each CJR sharing arrangement must
require that the CJR collaborator be in
compliance with all Medicare provider
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enrollment requirements at § 424.500 et
seq., including having a valid and active
TIN or NPI.
• Any internal cost savings or
reconciliation payments that the
participant hospital seeks to share
through CJR sharing arrangements must
meet the requirements set forth in the
final CJR rule (as finalized) and be
administered by the participant hospital
in accordance with GAAP. In no event
may the participant hospital distribute
any amounts pursuant to a CJR sharing
arrangement that are not comprised of
either internal cost savings or a
reconciliation payment, as those terms
are defined in this final rule. All
amounts determined to be internal cost
savings by the participant hospital must
reflect actual, internal cost savings
achieved by the participant hospital
through implementation of care
redesign elements identified and
documented by the participant hospital.
In no case may internal cost savings
reflect ‘‘paper’’ savings from accounting
conventions or past investment in fixed
costs.
• Any alignment payments that the
participant hospital receives through a
CJR sharing arrangement must meet the
requirements set forth in the final CJR
rule (as finalized) and be administered
by the participant hospital in
accordance with GAAP.
• CJR sharing arrangements must not
include any amounts that are not
alignment payments or gainsharing
payments.
• Further, we proposed that each
Participation Agreement—
++ Between the participant hospital
and a CJR collaborator must obligate the
CJR collaborator to provide the
participant hospital and HHS access to
the CJR collaborator’s records,
information, and data for purposes of
monitoring and reporting and any other
lawful purpose. Records, information,
and data regarding the CJR sharing
arrangement must have sufficient detail
to verify compliance with all material
terms of the CJR sharing arrangement
and the terms of the CJR model;
++ Must require the participant
hospital and the CJR collaborator to
include in their compliance programs
specific oversight of their Participation
Agreements and compliance with the
requirements of the CJR model;
++ If the participant hospital or CJR
collaborator does not have a compliance
program, each party must create one and
incorporate the provisions described in
this part in that program;
++ Must require compliance, from
both the participant hospital and the
CJR collaborator, with the policies
regarding beneficiary notification set
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forth in section III.F.2. of this final rule;
and
++ Must require the board or other
governing body of the participant
hospital to have responsibility for
overseeing the participant hospital’s
participation in the model, its
arrangements with CJR collaborators, its
payment of gainsharing payments and
receipt of alignment payments, and its
use of beneficiary incentives in the CJR
model.
• Participation Agreements must
require all CJR collaborators to comply
with any evaluation, monitoring,
compliance, and enforcement activities
performed by HHS or its designees for
the purposes of operating the CJR
model.
• Each Participation Agreement must
require the CJR collaborator to permit
site visits from CMS, or one of its
designees, for purposes of evaluating the
model.
We solicited comments about all of
the requirements set out in the
preceding discussion, including
whether additional or different
safeguards would be needed to ensure
program integrity, protect against abuse,
and ensure that the goals of the model
are met.
(3) Gainsharing Payment and Alignment
Payment Conditions and Restrictions
We proposed the following conditions
and restrictions concerning gainsharing
payments and alignment payments
made pursuant to a CJR sharing
arrangement:
• No entity or individual, whether or
not a party to a Participation Agreement,
may condition the opportunity to give
or receive gainsharing payments in CJR
on the volume or value of past or
anticipated referrals or other business
generated to, from, or among a
participant hospital, any CJR
collaborators, and any individual or
entity affiliated with a participant
hospital or CJR collaborator.
• Participant hospitals would not be
required to share reconciliation
payments, internal cost savings, or
responsibility for repayment to CMS
with other providers and suppliers.
However, where a participant hospital
elects to engage in those activities, we
proposed that such activities be limited
to the provisions prescribed in the
proposed rule.
• We proposed that gainsharing
payments must be distributed on an
annual basis, and are required to meet
the following criteria:
++ Must be clearly identified and
comply with all provisions in the
proposed rule, as well as all applicable
laws, statutes, and rules;
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++ Must not be a loan, advance
payments, or payments for referrals or
other business; and
++ Must be made by electronic funds
transfer (EFT).
• We proposed that alignment
payments from a CJR collaborator to a
participant hospital may be made at any
interval, and are required to meet the
following criteria:
++ Must be clearly identified and
comply with all provisions in the
proposed rule, as well as all applicable
laws, statutes, and rules;
++ Must not be issued, distributed, or
paid prior to the calculation by CMS of
a reconciliation report reflecting a
negative NPRA;
++ Must not be a loan, advance
payments, or payments for referrals or
other business; and
++ Must be made by EFT.
• We proposed that each CJR sharing
arrangement stipulate that any CJR
collaborator that is subject to any action
involving noncompliance with the
provisions of the proposed rule, engaged
in fraud or abuse, providing
substandard care, or have other integrity
problems not be eligible to receive any
gainsharing payments related to NPRA
generated during the time that coincides
with the action involving any of the
issues previously listed until the action
has been resolved in a forum or manner
that constitutes a final determination,
either by the state or federal court of last
resort, as applicable, or by CMS, HHS,
or its designees.
• No entity or individual, whether or
not a party to a Participation Agreement,
may condition the opportunity to make
or receive alignment payments in CJR
on the volume or value of past or
anticipated referrals or other business
generated to, from, or among a
participant hospital, any CJR
collaborators, and any individual or
entity affiliated with a participant
hospital or CJR collaborator.
• In a calendar year, the aggregate
amount of the total gainsharing
payments distributed by the participant
hospital that are derived from a CJR
reconciliation payment may not exceed
the amount of the reconciliation
payment that the participant hospital
received from CMS.
• In a calendar year, the aggregate
amount of the total alignment payments
received by the participant hospital may
not exceed 50 percent of the participant
hospital’s repayment amount due to
CMS. If no repayment amount is due,
then no alignment payments may be
received by the participant hospital.
• We proposed that the participant
hospital must retain at least 50 percent
of its responsibility for repayment to
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CMS, pursuant to the repayment
amount reflected in each annual
reconciliation report, under the CJR
model. Given that the participant
hospital will be responsible for
developing and coordinating care
redesign strategies in response to its
participation in the CJR model, we
believed it is important that the
participant hospital retain a significant
portion of its responsibility for
repayment to CMS. For example, upon
receipt of a reconciliation report
indicating that the participant hospital
owes $100 to CMS, the participant
hospital would be permitted to receive
no greater than $50 in alignment
payments, in the aggregate, from its CJR
collaborators.
• Further, we proposed that a CJR
sharing arrangement must limit the
amount a single CJR collaborator may
make in alignment payments to a single
participant hospital. We proposed that a
single CJR collaborator not make an
alignment payment to a participant
hospital that represents an amount
greater than 25 percent of the repayment
amount reflected on the participant
hospital’s annual reconciliation report.
For example, upon receipt of a
reconciliation report indicating that the
participant hospital owes $100 to CMS,
the participant hospital would be
permitted to receive no more than $25
in an alignment payment from a single
entity or individual who is a CJR
collaborator of the participant hospital.
• Gainsharing payments and
alignment payments must not induce
the participant hospital, CJR
collaborators, or the employees,
contractors, or designees of the
participant hospital or CJR collaborators
to reduce or limit medically necessary
services to any Medicare beneficiary.
• Individual physician and
nonphysician practitioners, whether or
not a party to a CJR sharing
arrangement, must retain their ability to
make decisions in the best interests of
the patient, including the selection of
devices, supplies, and treatments.
• Entities furnishing services to
beneficiaries during a CJR episode,
whether or not a party to a CJR sharing
arrangement, must retain their ability to
make decisions in the best interests of
the patient, including the selection of
devices, supplies, and treatments.
• Gainsharing methodologies for
determining gainsharing payments and
alignment payments must not directly
account for volume or value of referrals,
or business otherwise generated,
between or among a participant
hospital, any CJR collaborators, and any
individual or entity affiliated with a
participant hospital or CJR collaborator.
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• Gainsharing payments must be
derived solely from reconciliation
payments or internal cost savings or
both.
• The total amount of gainsharing
payments for a calendar year paid to an
individual physician or nonphysician
practitioner who is a CJR collaborator
must not exceed a cap. The cap is 50
percent of the total Medicare approved
amounts under the Medicare Physician
Fee Schedule (MPFS) for services
furnished to the participant hospital’s
CJR beneficiaries during a CJR episode
by that physician or nonphysician
practitioner. This cap of 50 percent on
gainsharing payments to individual
physician or nonphysician practitioner
is consistent with the same policy for
the BPCI initiative. The purpose of this
cap is to limit the amount of gainsharing
payments an individual practitioner
may receive due to his/her provision of
services included in the CJR model.
• The total amount of gainsharing
payments for a calendar year paid to a
PGP that is a CJR collaborator must not
exceed a cap. The cap is 50 percent of
the sum of the total Medicare approved
amounts under the MPFS for services
furnished by physician or nonphysician
practitioner members of the PGP to the
participant hospital’s CJR beneficiaries
during a CJR episode by those
physicians or nonphysician
practitioners.
We solicited comments about all of
the requirements set out in the
preceding discussion, including
whether additional or different
safeguards would be needed to ensure
program integrity, protect against abuse,
and ensure that the goals of the model
are met.
(4) Documentation and Maintenance of
Records
We proposed to require participant
hospitals and CJR collaborators to
comply with audit and document
retention requirements similar to those
required by the Medicare Shared
Savings Program, BPCI Model 2, and
other Innovation Center models.
Specifically, with respect to all
Participation Agreements and CJR
sharing arrangements, the participant
hospital and CJR collaborator must:
• Comply with the retention
requirements regarding Participation
Agreements and CJR sharing
arrangements set forth in subsection
III.C.10.(a) of this final rule.
• Maintain and give CMS, the Office
of Inspector General of the Department
of Health and Human Services (OIG),
and the Comptroller General or their
designee(s) access to all books,
contracts, records, documents, and other
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evidence (including data related to
utilization and payments, quality
performance measures, billings, and CJR
sharing arrangements related to CJR)
sufficient to enable the audit,
evaluation, inspection, or investigation
of the participant hospital’s compliance,
as well as the compliance of any CJR
collaborator that has a CJR sharing
arrangement with the participant
hospital, with CJR rules and
requirements, the Participation
Agreement, the quality of services
furnished, the obligation to repay any
reconciliation payments owed to CMS,
the determination, distribution, receipt,
or recoupment of gainsharing payments
or alignment payments.
• Maintain such books, contracts,
records, documents, and other evidence
for a period of 10 years from the last day
of the participant hospital’s
participation in the CJR model or from
the date of completion of any audit,
evaluation, inspection, or investigation,
whichever is later, unless—
++ CMS determines there is a special
need to retain a particular record or
group of records for a longer period and
notifies the participant hospital or CJR
collaborator at least 30 calendar days
before the normal disposition date; or
++ There has been a dispute or
allegation of fraud or similar fault
against the participant hospital or any
CJR collaborator in which case the
records must be maintained for an
additional 6 years from the date of any
resulting final resolution of the dispute
or allegation of fraud or similar fault.
• Notwithstanding any CJR sharing
arrangements, the participant hospital
must have ultimate responsibility for
adhering to and otherwise fully
complying with all provisions of the CJR
model.
• OIG Authority is not limited or
restricted by the provisions of the CJR
model, including the authority to audit,
evaluate, investigate, or inspect the
participant hospital, CJR collaborators,
or any other person or entity or their
records, data, or information, without
limitation.
• None of the provisions of the CJR
model limits or restricts any other
government authority permitted by law
to audit, evaluate, investigate, or inspect
the participant hospital, CJR
collaborators, or any other person or
entity or their records, data, or
information, without limitation.
We solicited comments about all of
the requirements set out in the
preceding discussion, including
whether additional or different
safeguards would be needed to ensure
program integrity, protect against abuse,
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and ensure that the goals of the model
are met.
The following is a summary of the
comments received and our responses.
Comment: Many commenters
requested clarification regarding the
application of the fraud and abuse laws
to arrangements contemplated by the
CJR model.
Response: We understand the
commenters’ interest in the availability
of fraud and abuse waivers for the CJR
model. However, as indicated in the
proposed rule, such waivers would be
issued separately by OIG (as to sections
1128A and 1128B of the Act) and CMS
(as to section 1877 of the Act). Any
fraud and abuse waivers issued in
connection with the CJR model will be
available at https://www.cms.gov/
Medicare/Fraud-and-Abuse/
PhysicianSelfReferral/Fraud-andAbuse-Waivers.html and on OIG’s Web
site. No waivers of any fraud and abuse
authorities are being issued in this final
rule.
Comment: Some commenters
recommended that CMS rename the
proposed ‘‘Participation Agreements’’ as
‘‘collaborator agreements.’’ The
justification for this recommendation
was that CJR collaborators, unlike the
participant hospital, will not have
responsibility for managing the
compliance of other CJR collaborators
with terms of the CJR sharing
arrangement, and that it would be,
therefore, appropriate to differentiate
‘‘participant hospitals’’ from entities or
individuals signing a ‘‘Participation
Agreement.’’
Response: We agree that changing the
term from Participation Agreement to
collaborator agreement is appropriate
and may help to eliminate confusion
about the type and purpose of such
agreements. To avoid confusion,
throughout the remainder of this final
rule we are substituting the term
collaborator agreement in all instances
where the term Participation Agreement
was used in the proposed rule. All
instances in this final rule in which the
term Participation Agreement appears
have the same meaning as collaborator
agreement.
For the same reason, we are also
revising the term ‘‘CJR sharing
arrangement,’’ to ‘‘sharing
arrangement.’’ Given that a sharing
arrangement is contained in a
collaborator agreement that has been
created solely for the purpose of
establishing a financial arrangement
between a participant hospital and a CJR
collaborator, we believe the inclusion of
the acronym CJR in the term for sharing
arrangement is unnecessary. Therefore,
to avoid confusion, throughout the
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remainder of this final rule we are
substituting the term sharing
arrangement in all instances where the
term CJR sharing arrangement was used
in the proposed rule. All instances in
this final rule in which the term CJR
sharing arrangement appears have the
same meaning as sharing arrangement.
Comment: Many commenters
expressed support for CMS’ proposal to
allow participant hospitals to enter into
financial arrangements with other
providers and suppliers to share the
participant hospital’s reconciliation
payments or hospital internal cost
savings or both, as well as a portion of
the participant hospital’s responsibility
for repayment to Medicare. Some
commenters claimed that past and
current experience with gainsharing or
risk-sharing have yielded positive
results for many hospitals, particularly
with regard to aligning the financial
incentives of various providers and
suppliers that furnish services during an
episode of care. For example, A
commenter noted that a prior program
involving gainsharing yielded
significant cost reductions to the
hospital participants, while
maintaining, and in many cases
improving, the quality of care. The
commenter noted that it had observed
through participation in that
gainsharing program that it takes time,
discipline, and vigilance to change
provider behavior, and that gainsharing
was one method of attempting to
effectuate such change.
Several commenters supported CMS’
proposal to define ‘‘CJR collaborators’’
to include only certain providers and
suppliers, including that CJR
collaborators that are physicians,
nonphysicians, or PGPs must furnish
services to CJR model beneficiaries.
Some of these commenters suggested
that these particular provider and
supplier types, given the nature of the
services they furnish to beneficiaries,
have increased commitments to clinical
responsibility, to sustainable change,
and to a long-term investment in the
communities in which they operate, as
opposed to entities that do not furnish
these types of services to beneficiaries.
By contrast, some commenters
expressed disappointment that the list
of CJR collaborators did not include
individuals such as Infectious Disease
Specialists, or entities such as
accountable care organizations (ACOs),
medical device companies, and other
third parties, such as the types of
convening organizations participating in
other CMMI models. Some of the
commenters suggested that CMS should
expand the list of potential CJR
collaborators to include non-provider or
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non-supplier entities, particularly given
that these entities in many cases have a
track record of providing Medicare
providers and suppliers participating in
other models with support services such
as care redesign, data analytics, and
general program support. A commenter
noted that were device manufacturers
allowed to be CJR collaborators, those
manufacturers might collaborate with
health care providers to make a
meaningful contribution to the success
of the CJR model and the individual
initiatives of participant hospitals.
Multiple commenters added that
entities like ACOs and conveners might
provide such services at a reduced cost
through economies of scale—as these
organizations could spread the expense
of developing this infrastructure over
many clients. These commenters also
noted that some entities that are not
providers or suppliers might be willing
to assume a high percentage of
downside risk, in order to reduce that
risk to participant hospitals.
Additionally, a commenter shared its
perspective that CMS failed to indicate
whether the proposed list of CJR
collaborators is exhaustive, and
requested clarification as to whether
that was the case. Finally, another
commenter requested clarification on
the status of episodes in which services
are furnished by physicians who opt out
of Medicare.
Response: We have noted the positive
feedback from commenters indicating
their support for CMS’ proposed list of
CJR collaborators. We also value the
input from other commenters requesting
that CMS expand the list of CJR
collaborators to include additional
entities, some of which may be neither
Medicare providers nor suppliers, and
the justifications to consider allowing
these entities to participate in
gainsharing. We want to point out that
infectious disease specialists are
physicians and, therefore, could
potentially be CJR collaborators based
on our proposed list. We also are
clarifying that with the exception of
PGPs that are CJR collaborators (as
discussed later in this section), all other
CJR collaborators (SNF, HHAs, LTCHs,
IRFs, physicians, nonphysician
practitioners, and providers or suppliers
of outpatient therapy services) must
actually furnish a billable service to CJR
beneficiaries during CJR episodes in the
calendar year in which the savings or
loss was created in order to be eligible
to receive a gainsharing payment or
make an alignment payment.
Although we are open to
reconsidering the eligibility of
additional entities to be CJR
collaborators in the future based on the
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73417
early implementation experience with
the CJR model, at this time we will not
adopt a final policy that includes
additional entities or individuals
beyond those listed as CJR collaborators
in the proposed rule. As we stated in
section III.A. of the proposed rule, we
selected acute care hospitals as the
financially responsible entity because
we are interested in evaluating the
impact of bundled payment and care
redesign across a broad spectrum of
hospitals with varying levels of
infrastructure and experience in
entering into risk-based reimbursement
arrangements. We also stated our belief
that it is most appropriate to identify a
single type of provider to bear financial
responsibility for making repayment to
CMS under the CJR model; given that
hospitals perform a central role in
coordinating episode-related care and
ensuring smooth transitions for
beneficiaries undergoing LEJR
procedures, this role factored in our
decision to select IPPS hospitals as the
financially responsible entity for this
model. Given this structure, we believe
that limiting the testing of gainsharing
relationships to solely those between
hospitals and providers and suppliers
enrolled in Medicare is most
appropriate because we expect enrolled
providers and suppliers to be most
directly and specifically engaged with
the participant hospitals in care
redesign and episode care for
beneficiaries who have LEJR surgery at
the hospital.
We also note that many of the
potential reasons that were suggested by
commenters for us to consider allowing
individuals and entities other than
providers and suppliers to be CJR
collaborators eligible for gainsharing
payments, such as data analytics and
general program support, can be
achieved outside of the context of
gainsharing through other relationships
between the participant hospital and
those entities. With the exception of
PGPs (as discussed in detail later in this
section), we continue to believe that any
CJR collaborator that receives a
gainsharing payment must have
furnished a billable service included in
the episode to CJR beneficiaries, that the
payment arrangements for gainsharing
payments must be actually and
proportionally related to the care of
beneficiaries in a CJR episode, and that
the CJR collaborator must be
contributing to the care redesign
strategies of the participant hospital. We
further note that we operate many
models concurrently, and not all
providers and suppliers are eligible for
participation in all models. Models have
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different design features and, therefore,
the permitted financial arrangements
under the models vary. Testing different
financial arrangements in various
models provides additional information
about important factors in success of
models in improving care quality and
reducing costs.
Given our experience to date with the
intersection between Medicare ACO
programs, Medicare ACO models, and
bundled payment models, we believe it
important to note that financial
arrangements between non-Medicare
providers and suppliers, such as ACOs
or other third parties, are allowed under
existing laws, rules, and regulations,
outside of the context of the CJR model.
While we agree that the potential for
leveraging the economies of scale of
services offered by many entities that
are not Medicare providers or suppliers
may be significant, we do not believe
their involvement necessitates CMS
allowing for gainsharing relationships
between hospitals and these entities at
this time. In many circumstances,
financial arrangements between
hospitals and these entities may be
possible outside the context of
gainsharing under a sharing
arrangement in the CJR model. For
example, a hospital may pay an ACO for
care coordination services the ACO
provides during or after a beneficiary’s
stay in the hospital, in the event that a
hospital and the ACO are collaborating
and agree to that arrangement. In the
event an ACO provides care
coordination services to the hospital,
the hospital is not precluded from
compensating the ACO for the services.
In other words, if an ACO hires a case
manager to work in the hospital to focus
on beneficiaries in CJR episodes, the
hospital may contract with the ACO for
those case manager services. However,
this payment would be outside of the
context of the CJR model and would not
fall under the categories of a gainsharing
payment or alignment payment, as those
terms are defined in this final rule.
Further, nothing in this section alters
the applicable laws, rules, and
regulations that apply to such
arrangements. Thus, we are maintaining
the conditions set forth in the proposed
rule, and finalizing the list of CJR
collaborators as proposed. This finalized
list of CJR collaborators is an exhaustive
list—only entities and individuals that
meet the criteria listed in this final rule
may be eligible as CJR collaborators.
Finally, with regard to the comment
regarding physicians that have opted
out of Medicare, we note that as
discussed in section III.C.3. of this final
rule, there are implications related to
reconciliation payment when services
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are furnished by physicians and
nonphysician practitioners that have
opted out of Medicare. With regard to
sharing arrangements, we are clarifying
in this final rule that in order to be a CJR
collaborator, an individual must not
have opted out of Medicare, meaning
that the individual physician or
nonphysician practitioner must be
either enrolled in Medicare as a
‘‘Participating physician/supplier’’ or as
a ‘‘Non-participating physician/
supplier.’’ In this model, the payments
to physicians and nonphysician
practitioners that have opted out of
Medicare are not included in a
participant hospital’s target price and
the actual episode spending
calculations. Thus, the purpose of this
policy is to prevent an individual from
receiving a gainsharing payment in the
CJR model if he/she has opted out of
Medicare.
Comment: Some commenters
expressed concern that a participant
hospital may steer beneficiaries to
certain providers and suppliers,
particularly PAC providers, with which
the participant has a sharing
arrangement. Another commenter
opined that sharing arrangements have
the potential to result in decisions that
are not in the best interest of patient
care but rather are in the best interest of
increased profit for CJR collaborators.
The commenter suggested that this
incentive-based arrangement may lead
to lower quality of care and restricted
access to medically necessary services.
Several commenters requested that CMS
allow hospitals to steer patients to
particular providers and suppliers.
Response: We emphasize that
beneficiaries included in a CJR episode
retain their full rights to choose their
providers and suppliers. Participant
hospitals, providers, and suppliers are
reminded that patient steering is not
permissible and such entities and
individuals must continue to comply
with current laws. Participant hospitals
and CJR collaborators that engage in
sharing arrangements may not adversely
impede those rights of the beneficiary.
Furthermore, we reiterate that sharing
arrangements or gainsharing payments
must not induce the participant
hospital, CJR collaborators, or the
employees, contractors, or designees of
the participant hospital or CJR
collaborators to reduce or limit
medically necessary services to any
Medicare beneficiary, and that
individual physician and nonphysician
practitioners, whether or not a party to
a sharing arrangement, must retain their
ability to make decisions in the best
interests of the patient, including the
selection of devices, supplies, and
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treatments. For further discussion on
this topic, we refer readers to see the
provisions addressing beneficiary
notification in section III.F. of this final
rule.
Comment: A commenter suggested
that hospitals located in rural
communities may be less likely to have
resources to enter into sharing
arrangements with CJR collaborators.
The commenter stated that in regions
where there is not a core group of PAC
providers where patients will seek care,
rural hospitals may incur additional
costs to try to form arrangements with
CJR collaborators to support efforts to
reduce costs and improve the quality of
care.
Response: We appreciate the
perspective of the commenter that
highlights some of the challenges for
providers and suppliers located in rural
areas. This model seeks to test episode
payment for LEJR procedures initiated
at acute care hospitals located in
selected Metropolitan Statistical Areas
(MSAs). By selecting MSAs as the
geographic unit, the majority of
participant hospitals located in the
selected regions will not be located in
rural areas. However, some participant
hospitals are located in rural areas, and
we agree that these hospitals may face
unique challenges in establishing
sharing arrangements with CJR
collaborators if there are few eligible
providers or suppliers, or such
providers or suppliers are located across
significant distances.
Several studies have shown that
Medicare beneficiaries located in rural
areas historically have had identifiable
patterns pertaining to hospital choice,
with results across multiple studies and
decades indicating that rural Medicare
beneficiaries tend to choose larger
hospitals and those offering a broader
scope of services.46 Particularly,
patients with complex acute medical
conditions have been found to be more
likely to bypass their closest rural
hospitals for larger, urban hospitals.
These patterns have been chronicled
across several decades, and we expect
that rural hospitals are familiar with
many of these studies, as well as related
studies demonstrating that patients are
more likely to seek care from broader
regional networks—comprised of
individual rural hospitals—than
alternatives with fewer hospitals.47
46 Buczko, W. ‘‘Bypassing of Local Hospitals by
Rural Medicare Beneficiaries.’’ Journal of Rural
Health. 1994; 10(4): 237–46.
47 Tai, Porell, and Adams. ‘‘Hospital Choice of
Rural Medicare Beneficiaries: Patient, Hospital
Attributes, and the Patient-Physician Relationship.’’
Health Services Research. 2004; 39(6 Pt 1): 1903–
1922.
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Perhaps based in part on this research,
a number of rural health alliances and
rural health networks have been created
to address these patient preferences, and
we expect these alliances and networks
may be useful to rural hospitals in
exploring the potential for establishing
sharing arrangements with CJR
collaborators.
We anticipate that CJR beneficiaries
located in rural areas are likely to follow
this historical trend, and that some
patients will seek care from nonrural
hospitals. By contrast, other CJR
beneficiaries will initiate CJR episodes
at rural hospitals. But this trend is
unlikely to be unique to CJR
beneficiaries, and we expect that rural
hospitals already have established
relationships, either on their own or
through rural health networks, with
providers and suppliers that can furnish
services to the hospital’s patients upon
discharge. Thus, we believe it is
possible that rural hospitals may
identify a small core group of PAC
providers where their model
beneficiaries commonly seek care
following surgery. We will be providing
claims data to assist hospitals in
identifying potential CJR collaborators,
as discussed in section III.E. of this final
rule. Finally, one of the purposes of
requiring participation in this model of
all hospitals in the selected MSAs is to
gain information about the challenges
and successes achieved by different
types of hospitals in the CJR model, and
to share strategies related to success.
Comment: Multiple commenters
requested that CMS clarify the
relationships between participant
hospitals and CJR collaborators. A
commenter requested that CMS explain
whether these are financial or clinical
relationships. Another commenter
expressed concern that CJR
collaborators that are non-compliant
with the requirements of this final rule
and/or the terms of a collaborator
agreement with a participant hospital
might make a participant hospital liable
or financially responsible for the
conduct of other organizations. The
commenter reasoned that it would be
unreasonable for a participant hospital
to be held responsible for the behavior
of CJR collaborators with whom they
may enter into a contract for the
provision of services under this model.
Response: With respect to the
question of whether arrangements
between a CJR collaborator and a
participant hospital constitute clinical
or financial relationships, we note that
a CJR collaborator is a specific type of
provider or supplier, as previously
described, which has signed a written
collaborator agreement with a
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participant hospital. The collaborator
agreement must describe a sharing
arrangement between the parties. A
sharing arrangement, by definition,
documents a financial arrangement
between the CJR collaborator and the
participant hospital that is for the
purpose of making gainsharing
payments or alignment payments or
both. While a collaborator agreement
may also address clinical matters, such
as care redesign strategies, a provider or
supplier is not a CJR collaborator unless
the collaborator agreement signed by the
provider or supplier contains a sharing
arrangement.
As to the second question of provider
responsibility, we proposed that
participant hospitals in the CJR model
that enter into sharing arrangements ‘‘be
responsible for ensuring that those
providers and suppliers comply with
the terms and requirements of this
proposed rule.’’ We are not suggesting
that CJR collaborators be able to escape
responsibility for noncompliance with
the Medicare Conditions of
Participation, or a state or federal law,
rule, or regulation merely by entering
into a sharing arrangement. Rather, this
provision is meant to not only make
participant hospitals aware of their
responsibility to oversee their CJR
collaborators for compliance with the
CJR model, but also to inform the
participant hospitals of the potential
remedial actions that may be taken
against them if their CJR collaborators
do not comply with all requirements of
the CJR model. Specifically, where
CMS, HHS, or its designees discovers an
instance of noncompliance by a CJR
collaborator with the requirements of
the CJR model, CMS, HHS, or its
designees may take remedial action
against the participant hospital, which
may include requiring the participant
hospital to terminate a collaborator
agreement with a CJR collaborator and
prohibit further engagement in the CJR
model by that CJR collaborator.
Furthermore, this provision requires
participant hospitals to include in their
collaborator agreements provisions
requiring compliance from CJR
collaborators with the requirements of
the CJR model. This provision is
discussed further in section III.C.12. of
this final rule, in which we detail the
enforcement mechanisms that CMS,
HHS, or its designees may apply to a
participant hospital.
Comment: Several commenters
recommended that CMS screen
participant hospitals and CJR
collaborators to address program
integrity concerns.
Response: We appreciate the
recommendations of the commenters
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that we screen participant hospitals and
CJR collaborators. However, for several
reasons, we continue to believe that this
type of screening for participant
hospitals would be inapplicable to the
CJR model. Most importantly, this
model seeks to evaluate the performance
in the model of hospitals located in a
particular MSA. Given this important
objective, we believe it is crucial for
evaluation purposes that all hospitals
that meet the criteria for participation in
the model be included. Further, as
discussed in sections III.F and IV, we
have finalized our proposal to include
evaluation and monitoring provisions
that go beyond some of the efforts of
previous or existing CMS models.
With regard to screening CJR
collaborators, we believe the additional
administrative burden on participant
hospitals and CMS to periodically
prepare, collect, and specifically screen
lists of CJR collaborators would not
substantially enhance the program
integrity protections otherwise built into
the model design. We note that CMS
will be monitoring for inappropriate
behavior of participant hospitals
through monitoring efforts specifically
for this model. We further note that
CMS retains all of its existing
mechanisms to directly monitor
providers and suppliers, even if they are
CJR collaborators. We have included a
number of enforcement mechanisms in
this final rule that will be available to
CMS should a participant hospital or
CJR collaborator be out of compliance
with the model’s requirements.
Comment: Some commenters
recommended that CMS provide
additional opportunities for entities and
individuals other than participant
hospitals to assume downside risk
under the model. Several commenters
indicated that the risk sharing
arrangements CMS proposed, via
alignment payments from CJR
collaborators to participant hospitals,
are too limited. In particular,
commenters called for PGPs to be able
to take on increased risk beyond the 25
percent of a participant hospital’s
repayment amount that CMS proposed.
These commenters suggested that if
PGPs were permitted to negotiate
sharing arrangements containing
provisions for higher gainsharing
payments, they would be able to assume
greater financial risk as well.
Commenters further suggested that
transferring risk to PGPs in this manner
would be unlikely to result in
problematic behaviors such as patient
steering, but rather, that such
allowances would result in greater
provider alignment and better patient
care.
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Response: We believe the limits
proposed on alignment payments
perform two important functions. First,
as described in section III.A. of this final
rule, we seek to test in this model the
effects of placing financial
responsibility on acute care hospitals for
episodes of care initiating with an
inpatient stay involving LEJR
procedures. While we agree with the
commenters that some ability to share
downside risk could be useful for
participant hospitals and CJR
collaborators in creating greater
provider alignment and improving
patient care, we believe that allowing a
participant hospital to shift a majority of
its repayment risk under the CJR model
to a different entity would
fundamentally change the model CMS
seeks to test. Further, our experience
with other episode payment models,
particularly Models 2 and 3 of BPCI, has
demonstrated that relatively few PGPs
have committed to assuming downside
risk in those models. Nearly all of the
PGPs participating in Models 2 and 3 of
BPCI are participating under another
entity that assumes all (or a substantial
majority) of the downside risk. Thus,
this experience suggests to us that
increasing the limits on alignment
payments is unlikely to result in many
PGPs assuming a greater percentage of
risk than what we proposed.
Furthermore, limiting alignment
payments as we proposed operates as a
safeguard in much the same manner as
we discuss later in this section
regarding the cap on gainsharing
payments. Thus, we do not agree that
increasing the limits on alignment
payments is appropriate at this time or
necessary to test the model.
Finally, we reiterate that beneficiaries
included in a CJR episode retain their
full rights to choose their providers and
suppliers. Participant hospitals and CJR
collaborators that engage in sharing
arrangements may not adversely impede
those rights of the beneficiary.
Alignment payments, or the potential
for such payments, must not induce the
participant hospital, CJR collaborators,
or the employees, contractors, or
designees of the participant hospital or
CJR collaborators to reduce or limit
medically necessary services to any
Medicare beneficiary. Individual
physician and nonphysician
practitioners, whether or not a party to
a sharing arrangement, must retain their
ability to make decisions in the best
interests of the patient, including the
selection of devices, supplies, and
treatments.
Comment: Many commenters opposed
the proposed cap on the total amount of
gainsharing payments for a calendar
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year that could be paid to a PGP, or an
individual physician or nonphysician
practitioner who is a CJR collaborator,
arguing that the 50 percent figure is
arbitrary and should be removed. Other
commenters asserted that a PGP that is
a CJR collaborator should have the
freedom to determine the most
appropriate way to distribute
gainsharing payments, given the
multiple disciplines involved in patient
care. Additionally, some commenters
requested that internal cost savings be
treated separately from reconciliation
payments under the cap on gainsharing
payments. These commenters attempted
to differentiate these two revenue
streams by explaining that while
internal cost savings may be achieved
by the participant hospital relatively
early in the model, reconciliation
payments are based upon changes in
payment made to providers for services
related to episodes in the CJR model.
The commenters noted that the financial
effects of these latter changes, in the
form of positive reconciliation
payments, may not be realized for some
time. These commenters added that
gainsharing payments comprised of
internal cost savings are derived from
hospital cost improvements and do not
result from or impact Medicare
payments. Thus, in the commenters’
opinion, the cap on gainsharing
payments should apply only to the
portion of a gainsharing payment
derived from a reconciliation payment.
A commenter further added that the
many requirements that CMS proposed,
including that all payments must be
auditable by HHS, provide assurance
that the distribution will be documented
and supported, thus avoiding the
possibility of program abuse.
Other commenters acknowledged the
necessity for a cap on gainsharing
payments, but urged CMS to apply the
same cap to the CJR model as is applied
to Model 2 of the BPCI initiative, which
does not place a cap on gainsharing
payments to PGPs. Commenters stated
that having different policies between
the models could create the potential for
an uneven playing field across CJR
participant hospitals and BPCI Model 2
episode initiator hospitals. These
commenters asserted that the cap on
gainsharing payments to PGPs in CJR
may work to the detriment of
participant hospitals, as compared to
hospitals in the same geographic
markets that are participating in BPCI.
Given the proposed cap on gainsharing
payments to PGPs, the commenters
stated that participant hospitals in CJR
may be placed at a competitive
disadvantage within the market, with
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the potential for PGPs to view hospitals
in BPCI Model 2 as more lucrative
financial partners.
In addition, some commenters
objected to the proposed requirement
that only CJR collaborators that actually
furnish a service to a CJR beneficiary
during an episode of care would be
eligible to receive a gainsharing
payment. This policy would prohibit,
for example, a PGP from distributing
any portion of a received gainsharing
payment to physicians or nonphysician
practitioners who did not furnish a
service to the CJR beneficiary during an
episode of care. Commenters suggested
that such a requirement might be
difficult to institute with PGPs and may
necessitate group practices amending
their particular bylaws and internal
contracts. Another commenter
acknowledging that CMS’ rationale for
this proposal was to preserve program
integrity and ensure that individuals
who did not furnish services to a CJR
beneficiary during an episode are not
permitted to receive a payment,
nevertheless also disagreed with the
proposal, stating that billing records do
not always capture all of the surgeons
who deliver care to each beneficiary, as
other PGP members would likely deliver
some postoperative services that are not
separately recorded and thereby not
identifiable from claims data. According
to the commenter, only at the PGP level
would it be feasible for the group
members to most appropriately allocate
gainsharing payments.
Response: We acknowledge the many
perspectives of the commenters on the
proposed cap on gainsharing payments
to physicians, nonphysician
practitioners, and PGPs in the CJR
model. The purpose of the cap is to
serve as a safeguard against the potential
risks of stinting, steering, and denial of
medically necessary care due to
financial arrangements specifically
allowed under the CJR model by
providing an upper limit on the
potential additional funds a physician,
nonphysician practitioner, or PGP can
receive for their engagement with
participant hospitals in caring for CJR
model beneficiaries beyond the FFS
payments that those suppliers are also
paid and that are included in the actual
episode spending calculation for the
episodes.
While we appreciate the distinction
being made by the commenters
regarding the potential timing
differences between internal cost
savings and reconciliation payments, as
well as that internal cost savings that
could be paid to a CJR collaborator
would not actually be due to a change
in Medicare payment, as would be the
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case for reconciliation payments, we do
not agree that it would be appropriate to
exclude gainsharing payments based on
internal cost savings from the cap on
this basis. There is the potential for
stinting, steering, or denial of medically
necessary care to be implicated by the
sharing of either internal cost savings or
reconciliation payments. For example, if
a physician were to discharge a
beneficiary from the hospital earlier
than medically necessary, and not
transfer that beneficiary to PAC services
that were medically necessary, such
behavior could have impacts on both a
hospital’s internal cost savings and
reconciliation payments. We do not
agree that only reconciliation payments
should be subject to the cap on
gainsharing payments, but rather that
the cap on gainsharing payments should
apply to all potential dollars that could
be transferred to a CJR collaborator
subject to the cap. We believe that
allowing a physician or nonphysician
practitioner to be paid up to 50 percent
more for engagement with the episode
care of CJR beneficiaries than they are
paid for furnishing direct services to
those beneficiaries under the MPFS
provides participant hospitals with
substantial flexibility in developing
meaningful financial arrangements that
align the financial interests of
physicians and nonphysician
practitioners with the quality and cost
goals of the hospital under the CJR
model. Moreover, we note that we have
applied the 50 percent cap on
gainsharing payments to physicians and
nonphysician practitioners in the BPCI
initiative, and participants have not
voiced significant complaints that this
moderate financial limitation has
hampered their ability to engage
physicians and nonphysician
practitioners in care redesign to improve
episode quality and reduce costs. Given
this feedback, and that the provisions
governing financial arrangements for the
BPCI initiative and the CJR model are
similar, we believe that the 50 percent
cap on gainsharing payments is an
appropriate condition for this model.
We understand the perspective from
some commenters that the cap on
gainsharing payments to PGPs may have
impacts on revenue sharing within
PGPs, particularly for multi-specialty
practices. If the CJR model included
clinical episodes for many different
conditions, such as in the case of a
number of BPCI participants who are
testing multiple different clinical
episodes, we could understand how it
might be justified to remove the cap on
gainsharing payments to PGPs.
However, with CJR, there is only a
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single episode—LEJR procedures. As
such, we believe it is likely that most
services to CJR beneficiaries during an
episode will be furnished by an
identifiable subset of physician and
nonphysician practitioners within a
PGP. From our experience with other
bundled payment models, such as the
BPCI initiative, we have found that even
in large, multi-specialty PGPs, the
majority of services to LEJR patients are
furnished by a subset of practitioners.
We proposed that a cap on
gainsharing payments made to a PGP
that is a CJR collaborator be limited by
the aggregate billable services furnished
during a calendar year to the participant
hospital’s CJR beneficiaries during CJR
episodes by physicians and
nonphysician practitioners that are
members of the PGP. This cap on
gainsharing payments to PGPs is based
on Medicare payments for the services
delivered to CJR beneficiaries by PGP
members. We also proposed that the
only PGP members that could receive all
or a portion of the gainsharing payment
made to the PGP are those PGP members
that furnished a billable service to a CJR
beneficiary during a CJR episode.
Therefore, we believe that the cap on
gainsharing payments as it has been
proposed for the CJR model is
appropriate, because it ensures that only
physicians and nonphysician
practitioners within a PGP that may
receive all or a portion of a gainsharing
payment are those physicians and
nonphysician practitioners who actually
furnished services to CJR beneficiaries
during CJR episodes, and that the
amounts those PGP members receive
does not exceed the capped amounts
that would be applied to those
physician and nonphysician
practitioners if they were directly
engaging with a participant hospital as
CJR collaborators.
For example, for a physician or
nonphysician practitioner who
furnishes billable services in a calendar
year to CJR beneficiaries during CJR
episodes that amount $1,000 in total
Medicare approved amounts under the
MPFS, the cap for that physician or
nonphysician practitioner would be
$500. By comparison, if the physician or
nonphysician practitioner furnishes
billable services in a calendar year to
CJR beneficiaries during CJR episodes
that amount $0 in total Medicare
approved amounts under the MPFS, the
cap for that physician or nonphysician
practitioner would be $0. In both
scenarios, if the physician or
nonphysician practitioner is a PGP
member in a PGP that is a CJR
collaborator that has a sharing
arrangement with a participant hospital,
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then the maximum gainsharing payment
that could be made to the PGP would be
the aggregate capped amounts, as
previously described, of all physician
and nonphysician practitioners that
furnished a billable service in a calendar
year to a CJR beneficiary during a CJR
episode. Similarly, if the physician or
nonphysician practitioner has a sharing
arrangement directly with a participant
hospital (regardless of whether the
physician or nonphysician practitioner
is a PGP member), the maximum
gainsharing payment that could be made
to the physician or nonphysician
practitioner would be the capped
amount, as previously described, for
services furnished to the participant
hospital’s CJR beneficiaries during a CJR
episode by that physician or
nonphysician practitioner. We believe
that the flexibilities inherent in these
policies on limits to gainsharing
recognize the various levels of
engagement from physicians and
nonphysician practitioners in a
participant hospital’s care redesign, and
allows for arrangements to be structured
accordingly.
Our proposed policies for limits on
gainsharing also recognized that the
work of care redesign will also likely be
carried out by those same physicians
caring for model beneficiaries. We
further note that MSAs with high
proportions of acute care hospitals
initiating LEJR episodes in BPCI have
not been included in the random
selection process for the CJR model, as
described in section III.A. of this final
rule. This should limit those
communities where participant
hospitals in CJR and BPCI hospitals
initiating LEJR episodes are co-located
such that PGPs could consider moving
their current practice locations based on
financial considerations under a model
in testing.
Furthermore, we do not see how
allowing all or a portion of a gainsharing
payment to be distributed to individual
physicians, nonphysician practitioners,
or members of PGPs who did not
furnish any services to model
beneficiaries during a CJR episode is
likely to increase the quality of care that
was furnished to those beneficiaries or
reduce the cost to Medicare. We can,
however, see the potential for abuse by
allowing such payments to flow freely
to any member of a PGP, as PGPs in
some markets could potentially funnel
portions of a gainsharing payment to
practitioners not involved in LEJR care
as a means of impacting the referral
patterns of those practitioners to
particular hospitals or the PGP. As
stated previously, the cap on
gainsharing payments functions to deter
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steering, stinting, and denial of
medically necessary care. For these
reasons, we believe that the limits on
gainsharing payments to certain types of
CJR collaborators via the proposed cap
are necessary and tailored appropriately
to the risks we seek to minimize.
In summation, the cap on gainsharing
payments ensures that only physician
and nonphysician practitioners that
actually furnish a service to a
beneficiary during a CJR episode are
eligible for gainsharing payments, and
that gainsharing payments made to
PGPs are limited to the aggregate capped
amounts of each physician or
nonphysician practitioner member that
furnished a service to a CJR beneficiary.
We reiterate that while the cap is only
applicable to gainsharing payments
made to CJR collaborators who are
physicians, nonphysician practitioners,
providers or suppliers of outpatient
therapy services, and PGPs, CJR
collaborators that are SNFs, HHAs,
LTCHs, IRFs, physicians, nonphysician
practitioners, and providers or suppliers
of outpatient therapy services that are
CJR collaborators must have furnished a
billable service during a CJR episode to
a CJR beneficiary during the calendar
year in which the internal cost savings
was generated or to which the NPRA
applied (the latter of which are directly
reflected in a reconciliation payment),
in order to be eligible to receive a
gainsharing payment. As discussed later
in this section, CJR collaborators that are
PGPs need to have participated in care
redesign activities that involved the
provision of care to CJR beneficiaries
during the calendar year in which the
internal cost savings was generated or to
which the NPRA applied (the latter of
which is directly reflected in a
reconciliation payment), in order to be
eligible to receive a gainsharing
payment. We believe this connection to
beneficiaries is likely to be important in
aligning the financial incentives of the
practitioner with those of the
participant hospital, as well as the other
providers and suppliers involved in the
delivery of care to beneficiaries.
Comment: A commenter suggested
that outside of large orthopedic groups,
few CJR collaborators are likely to have
a sufficient volume of cases for
gainsharing to be a financially
meaningful incentive. The commenter
further explained that in the current
environment, there is no compelling
reason for a CJR collaborator to enter
into a sharing arrangement containing
provisions for alignment payments.
Many commenters offered related
comments regarding CMS’ proposed
gainsharing policies as applied to PGPs.
Commenters vigorously requested that
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CMS remove the provision prohibiting a
PGP that is a CJR collaborator from
retaining any portion of a gainsharing
payment. CMS’ proposal would have
required the PGP to distribute 100
percent of the gainsharing payment to
the PGP’s member physicians and
nonphysician practitioners that actually
furnished a service to a CJR beneficiary
during a CJR episode. In opposing this
proposed requirement, commenters
stressed that PGPs should have the
freedom to determine the most
appropriate way to distribute
gainsharing payments, given the
multiple disciplines involved in patient
care, and the potential for clinical and
financial involvement of the PGP in the
care of CJR beneficiaries. Multiple
commenters suggested that if CMS were
to finalize this proposal without
modification that PGPs would likely be
discouraged from participating as CJR
collaborators in the model.
Response: We appreciate these
perspectives, and have carefully
considered the potential consequences
of our proposals. With regard to the
commenter that recommended that
gainsharing will be meaningful for only
a small subset of large PGPs, our
experience in gainsharing in other
models suggests otherwise. For
example, we have received extensive
feedback from participants in the BPCI
initiative that gainsharing can be a
highly effective tool in assisting
hospitals in aligning financial
incentives not only with physician
group practices, but also with
individual physicians. Second, as we
detail in section III.C. of this final rule,
PAC spending within a 90-day LEJR
episode constitutes a significant portion
of the overall episode spending. As a
result, we believe that participant
hospitals may choose to engage in
sharing arrangements with a wide
variety of CJR collaborators, including
physicians, PGPs, and PAC providers to
attempt to reduce unnecessary episode
spending during the post-anchor
hospital discharge period. Our
experience with BPCI suggests these
efforts may be best served from
involvement by multiple individuals
and entities, not just large orthopedic
practices.
We considered whether PGPs that are
CJR collaborators should be permitted to
retain all or a portion of a gainsharing
payment. We are concerned by the
comments suggesting that some PGPs
may be unwilling to engage in care
redesign efforts as a CJR collaborator
with a participant hospital if the PGP is
not permitted to retain a gainsharing
payment. We also understand that PGPs
might serve a variety of functions that
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contribute to care redesign and
innovations in care furnished to CJR
beneficiaries. For example, while a PGP,
as an entity, would not furnish a billable
service to a CJR beneficiary (that
function is performed by the member
physician and nonphysician
practitioners of the PGP), a PGP that is
engaged in care redesign with a
participant hospital could serve as an
organizing entity for the physician and
nonphysician practitioner members of
the PGP that are furnishing services to
CJR beneficiaries. Further, the PGP
might provide care coordination
services for CJR beneficiaries or invest
in new technologies that improve care
for CJR beneficiaries. In this way, a PGP
is distinct from the other provider and
supplier types eligible to be CJR
collaborators in that, although the PGP
is a Medicare enrolled entity, it does not
furnish billable services to beneficiaries.
Given these considerations, we are
persuaded that a PGP that is a CJR
collaborator should be permitted to
retain all or a portion of a gainsharing
payment. Thus, we are finalizing our
proposal with a modification to allow
PGPs that are CJR collaborators to retain
all or a portion of a gainsharing payment
that the PGP receives from a participant
hospital. We believe that this
modification will provide greater
financial flexibility to PGPs that are CJR
collaborators, and will allow for those
PGPs to consider sharing arrangements
that contain provisions regarding
alignment payments. We note that for
purposes of this final rule, a PGP is an
entity that furnishes clinical patient care
services, including evaluation and
management services, or professional
surgical services. We do not believe that
an entity is a PGP if it merely furnishes
supplies or tests to patients.
In order to be eligible to receive a
gainsharing payment, the PGP that is a
CJR collaborator must meet all of the
following:
• The PGP must have at least one
member of the PGP that is a physician
or nonphysician practitioner, as those
terms are defined at § 510.2, that
actually furnished a service to a CJR
beneficiary during a CJR episode during
the calendar year in which the
participant hospital’s internal cost
savings was generated, or to which the
NPRA applied (the latter of which is
directly reflected in a reconciliation
payment), as these funds are the only
two sources that may comprise a
gainsharing payment;
• The PGP must contribute to a
participant hospital’s care redesign in
CJR and be clinically involved in the
care of CJR beneficiaries. The following
is a non-exhaustive list of ways in
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which a PGP might be clinically
involved in the care of CJR beneficiaries:
++ Provide care coordination services
to CJR beneficiaries during and/or after
inpatient hospital admission;
++ Engage with a participant hospital
in developing care redesign strategies,
and actually perform a role in
implementing such strategies, that are
designed to improve the quality of care
for LEJR episodes and reduce LEJR
episode spending;
++ In coordination with other
providers and suppliers (such as the
PGP’s members, participant hospitals,
and PAC providers), implement
strategies designed to address and
manage the comorbidities of CJR
beneficiaries.
Finally, should the PGP wish to
distribute all or a portion of a
gainsharing payment to its member
physicians and nonphysician
practitioners, we discuss later in this
section, in detail, the requirements for
such distributions.
Comment: Multiple commenters
raised issues related to participant
hospitals’ consideration of quality of
care in initially selecting CJR
collaborators and later determining
gainsharing payments for CJR
collaborators. While some commenters
recommended that CMS require
hospitals to engage in sharing
arrangements with all providers and
suppliers caring for CJR model
beneficiaries, other commenters
encouraged CMS to maintain participant
hospital flexibility in selecting CJR
collaborators based on parameters such
as contributions to the efficiency and
quality of episode care.
With respect to the determination of
gainsharing payments, a commenter
stated that gainsharing payments should
be founded in quality performance, with
each CJR collaborator needing to meet
minimum thresholds prior to any gains
being distributed. Other commenters
suggested that the ability of all CJR
collaborators to receive a gainsharing
payment should be based on the quality
performance of the CJR collaborators
both as individuals and as a group—
essentially recommending that CMS
institute a ‘‘quality gate’’ that would
need to be met by all CJR collaborators
in order for any single CJR collaborator
to receive a gainsharing payment. The
suggested methodologies varied as to
how quality would be measured—some
commenters suggested that selection
should be done by CMS while others
recommended that participant hospitals
should choose quality criteria important
to them. Commenters did not suggest
particular quality criteria that CMS
should consider, and most commenters
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did not describe how CMS or
participant hospitals would select
quality criteria.
Response: We agree with commenters
that quality should be a consideration in
the participant hospital’s selection of
CJR collaborators, as well as the
determination of gainsharing payments
for CJR collaborators. However, we do
not believe that we need be as
prescriptive on quality criteria used for
determining gainsharing payments as
some commenters suggested. Participant
hospitals are best positioned to
determine the quality of care
considerations for CJR collaborator
selection and the quality criteria for
gainsharing payments that are most
important to them and that are the most
meaningful indicators of the quality of
care furnished to CJR model
beneficiaries. By way of comparison,
BPCI participants are required to report
the quality targets they will use in
determining gainsharing payments, and
providers and suppliers who do not
meet the BPCI participant’s quality
targets are prohibited from receiving
gainsharing payments. For the CJR
model, we are adopting a more flexible
approach to quality considerations in
the selection of CJR collaborators and
the requirement that quality criteria be
described in sharing arrangements
under the CJR model, once again
balancing our interest in encouraging
financial arrangements that consider
high quality of care and not the volume
and value of referrals, with allowing
participant hospitals maximal flexibility
to determine the issues related to
quality of most importance to their
efforts to improve episode quality and
efficiency.
With regard to the selection of CJR
collaborators, while we do not agree
with the commenters suggesting that we
require participant hospitals to engage
as CJR collaborators with all providers
and suppliers caring for CJR model
beneficiaries, we believe the providers
and suppliers that the participant
hospital selects as CJR collaborators
should be held to certain standards
related to the quality of care for CJR
model beneficiaries. Thus, we believe it
is appropriate to require the participant
hospital to create a written set of
policies for selecting providers and
suppliers for sharing risks and gains as
CJR collaborators. Those policies must
be related to, and inclusive of, the
quality of care to be delivered to
beneficiaries during a CJR episode. We
believe these criteria could permit
selection of CJR collaborators based on
their previous demonstration of the
ability to furnish high-quality services
to beneficiaries receiving LEJR or based
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on their expected high quality care due
to requirements specified in the
hospital’s collaborator agreement. For
example, some participant hospitals
may choose to satisfy this requirement
by adopting quality criteria that look at
a provider/supplier’s past performance
on certain quality metrics, such as
complication rates, whereas other
hospitals may choose to adopt quality
criteria that rely primarily on
satisfaction of forward-looking
requirements that the participant
hospital expects to lead to improved
quality of episode care, such as
attending weekly care coordination
meetings, contacting CJR beneficiaries
frequently, or following specified
clinical care pathways. As previously
stated, we believe it is important that
participant hospitals have the ability to
select the CJR collaborators that are
willing to engage in the participant
hospital’s care redesign strategies, as
well as provide high-quality care, so
that the CJR collaborators are likely to
contribute to improvements in episode
quality and efficiency. Thus, with
regard to the role of quality in the
selection of CJR collaborators, we will
require the participant hospital to
develop a written set of criteria that it
will use to determine the selection of all
CJR collaborators.
We also believe the quality of care
furnished by CJR collaborators to
beneficiaries during an episode should
be a factor in determining a gainsharing
payment, not just the savings created by
the CJR collaborator. We believe that
requiring participant hospitals to
include quality criteria when
determining gainsharing payments will
incentivize CJR collaborators to provide
high quality, medically necessary care
that contributes to the quality of episode
care. Because the CJR model
incorporates pay-for-performance in the
payment methodology, rewarding high
quality performance and quality
improvement with increased financial
opportunity for participant hospitals as
discussed in section III.C.5. of this final
rule, we believe this same principle
should carry through to gainsharing
payments, to which episode quality and
cost performance should be linked. We
further believe that requiring the
participant hospital to include quality
criteria as a factor in the determination
of gainsharing payments should prevent
low quality providers and suppliers that
have not contributed to the quality of
episodes that leads to participant
hospital financial opportunity from
receiving gainsharing payments in this
model.
With regard to the role of quality in
the determination of gainsharing
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payments, we will require the
participant hospital to develop a written
methodology included in the
collaborator agreement that specifies
how the hospital will determine
gainsharing payments. To be eligible to
receive a gainsharing payment, a CJR
collaborator must meet quality criteria,
established by the participant hospital
and directly related to CJR episodes of
care, for the calendar year for which the
gainsharing payment is determined. For
purposes of this requirement, we note
that participant hospitals may utilize a
variety of quality criteria depending on
their priorities for care redesign and
quality improvement, as long as those
criteria are directly related to CJR
episodes of care. For example, some
participant hospitals may choose to
incorporate health outcome measures
specific to each CJR collaborator in the
gainsharing methodology, such as the
hospital readmission rate of CJR
beneficiaries for each physician or the
complication rate of CJR beneficiaries at
each SNF, in their quality criteria for
gainsharing payments. Other hospitals
may choose to incorporate specific
process measures that are aligned with
the hospital’s objectives for care
redesign to improve CJR episode
quality, such as the rate of attendance
by CJR collaborators at weekly care
coordination meetings to discuss the
care of CJR beneficiaries or performance
on patient experience surveys of CJR
model beneficiaries. Again, we
underscore that the set of quality criteria
used to determine gainsharing payments
must be directly related to the care of
CJR beneficiaries, but we believe that
each hospital should be permitted to
determine the quality criteria most
important to them and which relate to
the areas of care redesign on which they
seek improvement.
In summary, we will require the
participant hospital to develop and
maintain a written set of policies for
selecting its CJR collaborators. Further,
this set of policies must contain criteria
for selection of CJR collaborators that
include criteria related to, and inclusive
of, the quality of care to be delivered to
beneficiaries by the CJR collaborator
during a CJR episode. The selection
criteria cannot be based directly or
indirectly on the volume or value of
referrals or revenue generated by
providers or suppliers. All CJR
collaborators must have met, or agree to
meet, the quality criteria for selection.
In the case of selection criteria regarding
an individual’s or entity’s willingness to
engage in activities that are expected to
improve the quality of care (such as
following specified clinical pathways),
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such activities must be specified in the
collaborator agreement as an obligation
of the CJR collaborator. We are also
adding a requirement that the
participant hospital include in its
collaborator agreements with CJR
collaborators the methodology the
participant hospital will use to
determine gainsharing payments, and
this methodology must be based, at least
in part, on criteria related to, and
inclusive of, the quality of care to be
delivered to beneficiaries during a CJR
episode, and not directly on the volume
or value of referrals or business
generated by providers and suppliers.
Finally, we will require participant
hospitals, in considering the quality
criteria to incorporate as part of their
gainsharing methodologies, to use
quality criteria that are directly related
to CJR episodes of care, so that the
criteria used by the participant hospital
are relevant to care for beneficiaries in
the model. To be eligible to receive a
gainsharing payment, a CJR collaborator
must meet quality criteria for the
calendar year for which the gainsharing
payment is determined by the
participant hospital. Any CJR
collaborator that does not meet the
quality criteria described with
specificity in the collaborator agreement
is not eligible for a gainsharing payment
for the calendar year for which the
gainsharing payment is being
calculated.
Lastly, with regard to the application
of a participant hospital’s quality
criteria prior to the distribution of
gainsharing payments, we are clarifying
our proposal by changing the word
‘‘calculation’’ to ‘‘determination.’’ As
previously discussed, we are requiring
that participant hospitals use a
methodology to determine gainsharing
payments, and that this methodology be
explained in detail in all sharing
arrangements with CJR collaborators.
We expect that this methodology may
include calculations, but we are
clarifying that while quality criteria
must be used when determining the
gainsharing payment for each CJR
collaborator, the quality criteria are not
specifically required to be a part of the
calculated amount of the gainsharing
payment.
Comment: Many commenters
recommended specific changes to the
gainsharing policies proposed by CMS.
First, some commenters recommended
that CMS require participant hospitals
to offer the same gainsharing
arrangement to all CJR collaborators of
the same provider or supplier type. For
example, MedPAC recommended that
CMS allow participant hospitals the
flexibility to draft their own risk-sharing
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arrangements, but require that hospitals
have the same gainsharing arrangement
with all physicians; the per-episode
payment for each physician that is a CJR
collaborator in the gainsharing pool
would be the same. MedPAC also
suggested that physicians in a
gainsharing pool should be judged
across all CJR beneficiaries treated by all
physicians in the pool, which would
prevent hospitals from making
gainsharing payments on a patientspecific basis. MedPAC stated that these
requirements would limit the incentive
for physicians to select low-cost
patients. With respect to CJR
collaborators that are PAC providers,
MedPAC and other commenters
recommended that participant hospitals
should not be required to offer risk
sharing to all PAC providers, the
arrangements offered should be
identical across all selected PAC
providers, and the gainsharing
payments should be calculated for all
PAC providers offered risk sharing by
the hospital using a methodology that is
not patient-specific or provider/
supplier-specific. The commenters
recommended that gainsharing
methodologies that reward providers or
suppliers based on the performance of a
group of similar providers or suppliers
would limit the incentives for certain
CJR collaborators to select low-cost
patients over higher cost patients. In
addition, the commenters recommended
that such methodologies would
encourage all CJR collaborators to lower
episode spending, improve quality, and
reduce Medicare spending for all CJR
model beneficiaries.
Second, a number of commenters
urged CMS to make sharing
arrangements mandatory; in effect
suggesting that participant hospitals be
required to enter into gainsharing
relationships. For example, a
commenter recommended that CMS
require participant hospitals to enter
into sharing arrangements with ACOs in
the participant hospital’s MSA. Another
commenter recommended that CMS
require participant hospitals to enter
into sharing arrangements with all
orthopedic physicians credentialed at
the hospital, in order to reduce the
potential for hospitals to arbitrarily
decide whether or not to enter into such
arrangements with a physician. Multiple
commenters cautioned that participant
hospitals may choose to select only the
most ‘‘efficient’’ or ‘‘cost effective’’
orthopedic surgeons to enter into
sharing arrangements, and thus
recommended that CMS require
participant hospitals to enter into
sharing arrangements with all
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physicians. Another commenter
likewise urged CMS to require, or
strongly encourage, participant
hospitals to collaborate with
independent professionals who can
demonstrate effectiveness and efficiency
in the rehabilitation treatment of THA
and TKA patients in the model.
However, many other commenters
recommended that CMS retain the
provision in the proposed rule to allow
participant hospitals the freedom to
determine whether they want to enter
into gainsharing or risk-sharing
arrangements. MedPAC stated that a
participant hospital should not be
required to offer sharing arrangements
to all providers and suppliers in its
market, and that participant hospitals
should be allowed to exclude providers
and suppliers that are not contributing
to efficiencies or that are delivering a
poor quality of care. Many commenters
recommended that CMS allow
participant hospitals to discontinue a
sharing arrangement with any
individual or entity not contributing to
savings. Several commenters urged CMS
to finalize its proposed policy to
prohibit participant hospitals from
coercing or requiring physician
participation in the CJR model.
Many commenters stated that the
proposed sharing arrangement
requirements, such as the gainsharing
and alignment payment caps, were too
limiting. Several commenters noted that
certain types of physicians—particularly
orthopedic surgeons—serve a critical
role in care redesign and creating
internal cost savings for a participant
hospital and episode savings to
Medicare. Thus, these commenters
stated, applying the same policies
regarding sharing gains and losses to
orthopedic surgeons as to other
providers and suppliers—such as
physical therapists or PAC providers—
would be inapplicable. These
commenters recommended that CMS
allow physicians greater freedom to
negotiate sharing arrangements—such as
the ability to assume greater financial
risk above the 25 percent for alignment
payments proposed by CMS in the
proposed rule, and removal of the 50
percent cap on gainsharing payments for
CJR collaborators that are physicians,
nonphysician practitioners, and PGPs.
Several commenters suggested that
the proposed caps on gainsharing
payments and alignment payments were
arbitrary, particularly given the
proposed policy that gainsharing
payments must be ‘‘actually and
proportionally related to the care’’ of
beneficiaries in CJR episodes and that
the CJR collaborator must be
contributing to the care redesign
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strategies of the participant hospital.
Other commenters likewise suggested
that the capped limits were arbitrary
because they may not reflect the efforts
that a physician undertook to meet
required quality metrics and reduce
episode spending. Rather than setting
what they argue is an arbitrary limit,
these commenters recommended that
CMS should allow providers to
determine the distribution amounts.
Some commenters noted that
gainsharing structures in the private
sector allow for more flexibility and are
less prescriptive. Other commenters
recommended that the participant
hospital should be afforded broad
discretion to establish its policies for the
distribution of gainsharing payments.
For example, a commenter suggested
that CMS should remove the
requirement that gainsharing payments
be made annually, and allow participant
hospitals to make this payments at any
interval, or at a minimum, twice per
year. These commenters also noted that
hospitals are likely to be experienced
business entities and should be able to
make independent financial decisions
without a regulatory structure for
gainsharing like the one proposed.
Further, these commenters suggested
that in the absence of gainsharing, the
participant hospital would retain the
full reconciliation payment, and thus
the hospitals are unlikely to make
distributions of gainsharing payments
unnecessarily.
Response: We appreciate the robust
response from commenters on these
issues. We proposed to allow financial
arrangements in this model to
incentivize higher quality care and
reductions in episode spending through
improved financial alignment between
providers and suppliers furnishing
services to beneficiaries during a CJR
episode, while protecting against undue
risk from beneficiary steering, care
stinting, and inappropriate reductions
in access to care that could otherwise
result from the financial incentives in
an episode payment model.
We appreciate the reasons for the
recommendations by some commenters
that we require participant hospitals to
essentially offer the same gainsharing
arrangement to all providers and
suppliers of the same type. While we
understand the potential benefits of a
policy standardizing sharing
arrangements to protect against
selection of low-cost patients and the
resulting patient steering, we believe
that participant hospitals may have
legitimate reasons to enter into a sharing
arrangement with a particular provider
or supplier that differs from the
hospital’s arrangements with other
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similar providers or suppliers. For
example, it is possible there may be
instances in which a particular SNF
offers certain therapies or has resources
that a participant hospital believes will
benefit its patients in the model. In
these instances, it may be prudent for a
hospital to enter into a different sharing
arrangement with that SNF, as opposed
to other SNFs. Furthermore, participant
hospitals may have legitimate reasons to
construct different sharing arrangements
with CJR collaborators that agree to take
on a portion of the participant hospital’s
financial risk compared to sharing
arrangements with CJR collaborators
that do not assume downside risk. We
believe that the CJR model’s policies
that require participant hospitals to be
financially liable for episodes of care
will incentivize participant hospitals to
decrease episode spending and increase
the quality of care by engaging
participant hospitals to seek CJR
collaborators that are also supportive of
these goals.
We believe that the MedPAC
recommendation to require identical
per-episode payments for each
physician that is a CJR collaborator
would likely limit physician
commitment to the goals of the model
and the model would be less likely to
result in reduced episode spending and
improved quality of care. Our
experience in other models that
incorporate gainsharing has indicated
that a hospital may have legitimate
reasons to construct different sharing
arrangements with different physicians,
depending on factors such as the
involvement of the physician in the
hospital’s care redesign efforts, adoption
of leadership roles requiring direction
and instruction of other physicians, and
the number and magnitude of
disruptions in the physician’s existing
practice patterns.
We have included safeguards in this
final rule to address patient steering,
including the requirement that
beneficiaries retain their full rights to
choose their providers and suppliers,
the requirement that hospitals not limit
beneficiary choice of providers or
suppliers, the cap on gainsharing
payments, the requirement that the
opportunity to receive gainsharing
payments (or the opportunity to make or
receive alignment payments) may not be
conditioned on the volume or value of
past or anticipated referrals or other
business generated to, from, or among
the participant hospital and any CJR
collaborator, the requirement that
gainsharing payments be distributed
only to CJR collaborators that meet the
quality criteria established by the
participant hospital, and the
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requirement that gainsharing
methodologies must not directly
account for the volume or value of
referrals or business otherwise
generated between or among the
participant hospital and CJR
collaborators. For these reasons, we
believe that participant hospitals should
be allowed to enter into different
sharing arrangements with various CJR
collaborators.
While we appreciate the reasons why
some commenters recommended that
we require participant hospitals to enter
into financial relationships with certain
entities and individuals, we do not
agree that such a requirement is
necessary. We agree with the
commenters who supported the
voluntary nature of sharing
arrangements, and we continue to
believe that it is essential that sharing
arrangements be voluntary and without
penalty for nonparticipation. Although
we are not requiring participant
hospitals to offer sharing arrangements
to all providers or suppliers, we are
finalizing our proposal prohibiting
hospitals from coercing or requiring
individuals or entities to enter into a
sharing arrangement, and participant
hospitals may not penalize or
discriminate against physicians and
nonphysician practitioners on the
grounds that they are not CJR
collaborators. However, in response to
these comments, we are also modifying
our proposal, discussed in detail later in
this section, regarding the selection
criteria a participant hospital must use
in choosing CJR collaborators. We
believe that our final requirement for
selection criteria for CJR collaborators
responds to the concerns from some
commenters regarding how a participant
hospital selects it CJR collaborators.
In response to the view of some
commenters that the provisions for
gainsharing and risk-sharing in the CJR
model are overly restrictive, we note
that we constructed a framework for
financial arrangements in the CJR model
that we believe leaves participant
hospitals and CJR collaborators
relatively unconstrained to develop
sharing arrangements in a manner they
see fit, provided that all the
requirements contained in this final rule
are met. We have not proposed that
participant hospitals would need to use
a particular methodology for
determining gainsharing payments or
alignment payments, other than placing
upper thresholds on those payments
and a requirement for quality criteria for
gainsharing payments, which we
discuss in greater detail previously in
this section.
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With regard to the provision on the
annual distribution of gainsharing
payments, given that CMS is not
requiring participant hospitals to submit
gainsharing methodologies for review or
to report gainsharing payments to CMS,
we believe that the provision allowing
for gainsharing payments on an annual
basis is appropriately placed, for
purposes of tracking by the participant
hospital, as well as facilitating any
program integrity matters by CMS, HHS,
and its designees. We also believe that
annual distributions of gainsharing
payments are appropriate because
reconciliation within the model will
occur on an annual basis. Also, because
providers and suppliers will continue to
be paid according to the existing FFS
processes throughout the duration of the
model, CJR collaborators will continue
to have sources of revenue other than
gainsharing payments, which we believe
makes distributions of gainsharing
payments more often than once per year
unnecessary. Finally, while gainsharing
arrangements in the private sector may
be less restrictive, as suggested by some
commenters, other commenters
nonetheless noted that a number of
Federal laws are implicated by
gainsharing, and thus a more
prescriptive set of gainsharing policies
is an appropriate reflection of the
presence and importance of that legal
framework. We agree with those
commenters, and emphasize that while
we have attempted to avoid making the
provisions on sharing arrangements and
collaborator agreements unnecessarily
complex, we believe that the regulatory
requirements for these documents are
justified, for reasons such as limiting
opportunities for patient steering,
preserving beneficiary choice, and
protecting Federal healthcare dollars.
We continue to believe that the
permissible sharing arrangements under
the CJR model should allow participant
hospitals substantial and appropriate
flexibility to develop these
arrangements with the care redesign
needs of their beneficiaries in mind to
achieve the model objective of quality
improvement and reduced episode cost,
while providing sufficient protections
against the possible risks of beneficiary
steering, stinting, and inappropriate
reductions in access to care under an
episode payment model. Therefore, final
policies apply certain limited
protections to minimize these risks and
reduce the opportunities for providers
and suppliers to engage in inappropriate
behavior, while allowing participant
hospitals sufficient flexibility to achieve
success in the model, striking an
appropriate balance between these two
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important objectives. These protections
fall into the following several categories:
• Requirements that the basis for
selection of CJR collaborators be on
criteria related to, and inclusive of, the
quality of care to be delivered to
beneficiaries during a CJR episode, and
that the selection criteria cannot be
based directly or indirectly on the
volume or value of referrals or revenue
generated by providers or suppliers.
Further, all CJR collaborators must have
met, or agree to meet, the quality criteria
for selection.
• Requirements that the basis for, and
determination of, gainsharing payments
include provisions describing with
specificity in the collaborator
agreement, including the quality criteria
that the participant hospital will use in
its determination of gainsharing
payments, and that such payments be
based on criteria other than the volume
or value of past or future referrals, or
business otherwise generated.
• Contemporaneous documentation
requirements to ensure that collaborator
agreements between participant
hospitals and CJR collaborators are
memorialized in writing and comply
with all the provisions of this final rule.
• Limits on the absolute amount of
dollars in alignment payments to ensure
that such payments are made solely for
the purposes permitted under this final
rule.
• Restrictions on the types of
providers and suppliers that may
receive gainsharing payments and
provisions requiring that those
providers and suppliers have actually
furnished a service to a beneficiary and/
or been involved in care redesign, as
required by this final rule.
• Limits on the absolute amount of
dollars an individual practitioner or
PGP may receive as gainsharing
payments.
• Compliance from participant
hospitals and CJR collaborators with the
requirements of this final rule.
Finally, for the many reasons
previously provided, we disagree with
commenters who suggested that we
proposed an arbitrary structure for
financial arrangements in the CJR
model. We acknowledge that any
protections will inherently provide
some limits on the flexibility of
participant hospitals to develop certain
financial arrangements, but we believe
that the CJR model requirements
appropriately balance the need for
flexibility and program integrity.
Comment: Some commenters
expressed confusion about the manner
in which gainsharing payments can be
distributed from participant hospitals to
CJR collaborators. For example, these
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commenters inquired about whether a
physician who is engaged in CJR model
care redesign with a participant hospital
and is also a member of a PGP would
contract directly with the participant
hospital through a collaborator
agreement or whether the PGP would
contract with the participant hospital,
including on behalf of the physician
member who is working with the
hospital.
Response: We appreciate these
requests for clarification. We
understand from the comments that
some physicians engaged in care
redesign with a participant hospital may
wish to contract directly with a hospital
through a collaborator agreement, and
other physicians may prefer to have
their PGP contract directly with a
participant hospital on behalf of the
members of the PGP that furnish
services to CJR beneficiaries. We note
that as previously discussed, we are
finalizing our proposal with a
modification to allow PGPs that are CJR
collaborators to retain all or a portion of
a gainsharing payment, provided that
the PGP meets certain conditions. A
PGP that does not retain any or all of a
gainsharing payment can distribute all
or the remaining portion of the
gainsharing payment to individual
practitioners who are members of the
PGP under certain conditions. As such,
we are adding new § 510.505 to set forth
the requirements for the arrangement
between a PGP that is a CJR collaborator
and the individual practitioners who are
members of the PGP. The section only
applies when the PGP chooses to
distribute all or a portion of a
gainsharing payment to individual
physicians or nonphysician
practitioners who are members of the
PGP.
We specify in § 510.505(a) that a PGP
that has entered into a collaborator
agreement with a participant hospital
may distribute all or a portion of any
gainsharing payment it receives from
the hospital only in accordance with a
‘‘distribution arrangement,’’ which we
define as a financial arrangement
between a PGP that is a CJR collaborator
and a ‘‘practice collaboration agent’’
pursuant to which the PGP distributes
some or all of a gainsharing payment.
We define a ‘‘practice collaboration
agent’’ as a PGP member who has
entered into a distribution arrangement
with the same PGP of which he or she
is a member and who has not entered
into a collaborator agreement with a
participant hospital. We are defining the
terms ‘‘PGP member’’ and ‘‘member of
a PGP’’ to mean a physician,
nonphysician practitioner, or therapist
who is an owner or employee of the PGP
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and who has reassigned to the PGP his
or her right to receive Medicare
payment. We note that the fact that an
entity employs or contracts with
physicians, nonphysician practitioners
or therapists does not make the entity a
PGP. We are adding commonplace
definitions of ‘‘physician’’ and
‘‘nonphysician practitioner’’ and we are
defining ‘‘therapist’’ to include physical,
occupational, and speech therapists.
We emphasize that a PGP that is a CJR
collaborator (hereafter in this section, ‘‘a
PGP,’’ unless noted otherwise) is not
obligated under this final rule to
distribute (make a ‘‘distribution
payment’’) of a gainsharing payment to
its PGP members. Upon receipt of a
gainsharing payment, the PGP may
retain some or all of the gainsharing
payment. If the PGP chooses to make
distribution payments, it must do so
only in accordance with a distribution
arrangement. This final rule requires at
new § 510.505 that all distribution
arrangements must comply with all
applicable laws and regulations,
including the applicable fraud and
abuse laws, and the following criteria:
• All distribution arrangements must
be in a writing signed by the PGP and
practice collaboration agent.
• Participation in a distribution
arrangement must be voluntary and
without penalty for nonparticipation.
• The distribution arrangement must
require the practice collaboration agent
to comply with the requirements set
forth in this final rule.
• The opportunity to receive a
distribution payment must not be
conditioned directly on the volume or
value of past or anticipated referrals or
other business generated to, from, or
among a participant hospital, the PGP,
other CJR collaborator, any practice
collaboration agents, and any individual
or entity affiliated with a participant
hospital, CJR collaborator, or practice
collaboration agent.
• Methodologies for determining
distribution payments must not directly
account for volume or value of referrals,
or business otherwise generated,
between or among the participant
hospital, CJR collaborators, practice
collaboration agents, and any individual
or entity affiliated with a participant
hospital, CJR collaborator, or practice
collaboration agent.
• A practice collaboration agent is
eligible to receive a distribution
payment only if the PGP billed for an
item or service furnished by the practice
collaboration agent to a CJR beneficiary
during a CJR episode that occurred
during the calendar year in which the
participating hospital accrued the
internal cost savings or earned the
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73427
reconciliation payment that comprise
the gainsharing payment made to the
PGP.
• Where a PGP receives a gainsharing
payment from a participant hospital
pursuant to a sharing arrangement, all
monies contained in such a gainsharing
payment must be shared only with the
physician or nonphysician practitioners
that are PGP members that furnished a
service to a CJR beneficiary during an
episode of care in the calendar year
from which the NPRA, as that term is
defined in section III.C.6. of the final
rule, or internal cost savings was
generated, either or both of which are
the only permitted sources of funds for
a gainsharing payment.
• The total amount of distribution
payments for a calendar year paid to a
practice collaboration agent must not
exceed 50 percent of the total Medicare
approved amounts under the Medicare
Physician Fee Schedule (MPFS) for
services billed by the PGP and furnished
by the practice collaboration agent to
the participant hospital’s CJR
beneficiaries during a CJR episode.
• With respect to the distribution of
any gainsharing payment received by a
PGP, the total amount of all distribution
payments must not exceed the amount
of the gainsharing payment.
• All distribution payments must be
made through EFTs.
• The practice collaboration agents
must retain their ability to make
decisions in the best interests of the
patient, including the selection of
devices, supplies, and treatments.
• The distribution arrangement must
not—
++ Induce a practice collaboration
agent to reduce or limit medically
necessary services to any Medicare
beneficiary; or
++ Reward the provision of items and
services that are medically unnecessary.
• The PGP must maintain
documentation regarding practitioner
distribution arrangements in accordance
with § 510.500(e), including the relevant
written agreements, documentation of
the amount of any distribution payment,
the identity of each practice
collaboration agent who received a
distribution payment, and a description
of the methodology and accounting
formula for calculating the amount of
any distribution payment.
• The PGP may not enter into a
distribution arrangement with any
member of the PGP that has a
collaborator agreement in effect with a
participant hospital.
These provisions require distribution
payments to be made by a PGP only to
individuals who furnished an item or
service to a CJR beneficiary during a CJR
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episode. As a result, a PGP’s existing
practice compensation methodology is
likely to be inapplicable to the
determination and payment of
distribution payments. For example,
where a PGP retains a gainsharing
payment and elects not to make
distribution payments to eligible
practice collaboration agents, the
aforementioned criteria would prohibit
the PGP from placing the gainsharing
payment in its general funds and
distributing those monies to any
member of the PGP who did not furnish
an item or service to a CJR beneficiary
during a CJR episode that occurred
during the calendar year in which the
participating hospital accrued the
internal cost savings or earned the
reconciliation payment that comprise
the gainsharing payment made to the
PGP. We emphasize that such
individuals are not permitted under this
final rule to receive a distribution
payment.
Comment: Some commenters
requested that CMS offer additional
protections to small businesses, such as
some physical therapy or physician
group practices, who may desire to
engage as CJR collaborators with
participant hospitals, but may have
limited resources to do so.
Recommendations from these
commenters were for CMS to ensure
that gainsharing payments are paid in a
timely manner, that gainsharing
payments are distributed fairly and
equitably to CJR collaborators according
to the provisions in this final rule as
well as those agreed upon in a
collaborator agreement, and that
participant hospitals and CJR
collaborators not be permitted to engage
in unfair business practices.
Response: It is our intent to construct
a model that offers opportunities for
providers and suppliers of all sizes to be
CJR collaborators, provided they meet
the criteria in this final rule. In response
to the timely payment comment, we
direct those commenters to the
requirement that gainsharing payments
must be distributed on an annual basis.
Accordingly, a gainsharing payment can
only be distributed to eligible CJR
collaborators once per year. As
previously noted, CMS is not requiring
participant hospitals to enter into
collaborator agreements with all
providers and suppliers caring for CJR
beneficiaries, but where a hospital does
enter one or more collaborator
agreements, the participant hospital
must not distribute any gainsharing
payments more than once per year. We
believe that this requirement ensures
that gainsharing payments are timed to
sufficiently maintain a CJR
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collaborator’s commitment to lowering
costs and improving quality of care.
To the extent the commenters were
advocating that CMS prohibit late
payment of amounts owed to CJR
collaborators, we believe that the
consequences for breach of contract
offer sufficient protection. Regarding the
commenters’ desire to ensure that
gainsharing payments are distributed
fairly and equitably to CJR collaborators,
we believe that the provisions of this
final rule adequately address their
comment. For example, this final rule
prohibits participant hospitals and all
CJR collaborators from reducing or
limiting medically necessary services,
prohibits conditioning the opportunity
to receive gainsharing payments on the
volume or value of referrals, requires
gainsharing payment eligibility to
include quality criteria and gainsharing
payment determinations to be based on
criteria related to the quality of care to
be delivered to CJR beneficiaries during
episodes, prohibits gainsharing
methodologies that directly account for
the volume or value of referrals, and
caps the amount a physician or
nonphysician practitioner can receive in
gainsharing payments as a CJR
collaborator. Finally, we agree with the
commenters that it is important to deter
unfair business practices, but the
regulation of such practices is outside
the scope of our authority. Accordingly,
we decline to add a prohibition against
unfair business practices. However, we
believe that many of the program
integrity provisions regarding sharing
arrangements will also serve to deter
unfair business practices.
Comment: A few commenters
suggested that CMS should encourage
participant hospitals and CJR
collaborators to establish multi-year
collaborator agreements, with the goal of
fostering a long-term relationship
resulting in optimal program alignment.
Response: Nothing in this final rule
prohibits participant hospitals and CJR
collaborators from entering into
collaborator agreements for a duration of
more than one year.
Comment: Several commenters
opposed the adoption of reporting
requirements for gainsharing and
alignment payments, a topic upon
which CMS sought comment but did not
make a specific proposal. Alternatively,
these commenters recommended CMS
should not finalize the adoption of
reporting requirements without
considering the administrative burden
such reporting would place on
hospitals. However, other commenters
recommended that CMS take a more
active role in managing the agreements
and payments between participant
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hospitals and CJR collaborators. For
example, some commenters
recommended that all collaborator
agreements should be submitted to CMS
and that CMS should perform random
audits of these agreements to ensure
they comply with current regulations.
Another commenter urged CMS to track
all gainsharing payments from
participant hospitals to each CJR
collaborator. Furthermore, multiple
commenters recommended that CMS
include a requirement that participant
hospitals submit to CMS, or publish
themselves, a list of all CJR
collaborators. These commenters believe
that disclosure of all sharing
arrangements would foster transparency
regarding the business and referral
networks of providers and suppliers that
may arise through sharing arrangements.
Response: We appreciate the feedback
with respect to the potential burden of
periodically reporting data to CMS on
matters related to gainsharing payments.
We proposed to require participant
hospitals to retain documentation
regarding sharing arrangements and
solicited comments on whether we
should require participant hospitals and
CJR collaborators to periodically report
certain data, including gainsharing
payments, alignment payments,
identification of all CJR collaborators,
and other relevant information related
to collaborator agreements and sharing
arrangements. We also sought comment
on whether we should require reporting
of any other information that would
assist HHS with enforcement of the
regulations governing this model and
whether additional or different
safeguards are needed to protect the
program and to ensure that its goals are
satisfied.
We agree with the commenters that
transparency is important to ensure
program integrity and to assist with
evaluation of the model. We have tried,
where possible, to ensure transparency
regarding sharing arrangements and
distribution arrangements without
imposing undue administrative burden
on the individuals and entities that
enter into such arrangements.
Because documenting financial
arrangements is consistent with general
business practices, we believe that our
documentation requirement imposes
minimal additional administrative
burden on participant hospitals and CJR
collaborators. To promote transparency,
we are modifying our regulation text to
require contemporaneous
documentation of collaborator
agreements. This will discourage
gaming by ensuring that these
agreements are entered into before care
is furnished to CJR beneficiaries.
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Further, we are modifying our
regulation text to require that the
documentation for collaborator
agreements must include a description
of the sharing arrangement; its date; the
purpose; the provisions and scope of the
arrangement; and the financial terms of
the arrangement. We believe that these
requirements will ensure that these
agreements are entered into before the
care furnished to CJR beneficiaries and
will be auditable by the government. We
have imposed similar requirements for
distribution arrangements.
We do not agree that it is necessary
for participant hospitals to submit
periodically to CMS documentation
regarding sharing arrangements, lists of
CJR collaborators, or documentation
regarding all gainsharing payments and
alignment payments. We are sensitive to
the potential burden of such a reporting
requirement. We believe that the goals
of transparency and program integrity
can be achieved by requiring participant
hospitals and CJR collaborators to retain
contemporaneous documentation of
collaborator agreements, gainsharing
payments, and alignment payments for
at least 10 years following completion of
the arrangement and to allow CMS,
HHS, or its designee’s access to such
records. In addition, we are modifying
the regulation text to require each
participant hospital to maintain
accurate, current, and historical lists of
CJR collaborators and to publish on its
Web site, on a Web page accessible to
the general public, an accurate and
current list of all CJR collaborators. The
hospital must update its published list
of CJR collaborators no less frequently
than quarterly. The dollar amounts of
any gainsharing payments or alignment
payments need not be listed on the
participant hospital’s Web site.
We note that the participant hospital’s
records associated with tracking
gainsharing payments must reflect
whether the participant hospital
recouped any gainsharing payments
received by a CJR collaborator that
contain funds derived from a CMS
overpayment on a reconciliation report
or because such gainsharing payments
were the result of the submission of
false or fraudulent data. Similarly, this
final rule also requires PGPs to maintain
documentation regarding distribution
arrangements in accordance with
§ 510.500(e), including the relevant
written agreements, documentation of
the amount of any distribution payment,
the identity of each practice
collaboration agent who received a
distribution payment, and a description
of the methodology and accounting
formula for determining the amount of
any distribution payment. We have
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revised the regulation text to reflect
these requirements.
We do not believe that the obligation
to maintain accurate current or
historical lists of CJR collaborators and
documentation regarding all gainsharing
payments and alignment payments,
imposes any significant additional
burden on participant hospitals.
Participant hospitals will likely
maintain such lists for their own
operational purposes whether or not
they are required by our regulations to
do so. We believe that maintaining an
accurate list of all CJR collaborators and
documentation regarding all gainsharing
payments, alignment payments, and
distribution payments is a necessary
and appropriate provision for purposes
of transparency, keeping beneficiaries
informed, and ensuring that such
information is auditable by CMS, HHS,
or its designees. We also believe that
such information will help inform both
CMS and the public about collaborator
agreements.
We leave open the possibility for
future rulemaking on the issue of
documentation and reporting for this
model. CMS may consider additional
documentation requirements, including
submission of lists of CJR collaborators
and practice collaboration agents to
CMS at regular, ongoing intervals.
Summary of Final Decisions: After
consideration of the public comments
we received, we are finalizing the
proposal with thirteen modifications.
These modifications are:
• The term ‘‘Participation
Agreement’’ has been changed to
‘‘collaborator agreement’’.
• The term ‘‘CJR sharing
arrangement’’ has been changed to
‘‘sharing arrangement’’.
• In order for a physician or
nonphysician practitioner to be a CJR
collaborator, the physician or
nonphysician practitioner must not
have opted out of Medicare.
• PGPs that are CJR collaborators may
retain all or a portion of a gainsharing
payment, provided that the PGP meets
all the criteria in this final rule for such
retention.
• Sharing arrangements, included in
collaborator agreements, must be
entered into before care is furnished to
CJR beneficiaries under the terms of the
arrangement.
• A requirement that the participant
hospital develop and maintain a written
set of policies for selecting its CJR
collaborators. This set of policies must
contain criteria for selection of CJR
collaborators that include criteria
related to, and inclusive of, the quality
of care to be delivered to beneficiaries
during a CJR episode. The selection
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73429
criteria cannot be based directly or
indirectly on the volume or value of
referrals or business otherwise
generated by, between or among the
participant hospital and CJR
collaborators, and any individual or
entity affiliated with a participant
hospital or CJR collaborator. All CJR
collaborators must have met, or agree to
meet, the quality criteria for selection.
• A requirement that the participant
hospital include in its collaborator
agreements with CJR collaborators the
methodology the participant hospital
will use to determine gainsharing
payments, and this methodology must
be based, at least in part, on criteria
related to, and inclusive of, the quality
of care to be delivered to beneficiaries
during a CJR episode, and not directly
on the volume or value of referrals or
business otherwise generated by,
between or among the participant
hospital and CJR collaborators, and any
individual or entity affiliated with a
participant hospital or CJR collaborator
• A requirement that the participant
hospital, in considering the quality
criteria to incorporate as part of its
gainsharing methodologies, use quality
criteria that are directly related to CJR
episodes of care, so that the criteria used
by the participant hospital are relevant
to care for beneficiaries in the model.
Any CJR collaborator that does not meet
the quality criteria described with
specificity in the sharing arrangement is
not eligible for a gainsharing payment
for the calendar year for which the
gainsharing payment is being
determined.
• Requirements that the participant
hospital keep contemporaneous
documentation of collaborator
agreements.
• A requirement that the participant
hospital maintain accurate current and
historical lists of CJR collaborators.
• A requirement that the participant
hospital publish on its Web site, on a
Web page accessible to the general
public, accurate current and historical
lists of CJR collaborators.
• A participant hospital must not
make a gainsharing payment to a CJR
collaborator that is subject to any action
for noncompliance with this part or the
fraud and abuse laws, or for the
provision of substandard care in CJR
episodes or other integrity problems.
• A regulatory framework has been
created to allow PGPs that are CJR
collaborators to share all or portions of
gainsharing payments with individual
practitioners that are members of the
PGP. These requirements are set forth in
new § 510.505.
With the exception of new § 510.505,
the final policies are set forth in
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§ 510.500, which we have reorganized to
eliminate redundancy and internal
inconsistencies and to more clearly set
forth the requirements for CJR sharing
arrangements.
‘‘General.’’ We are finalizing at
§ 510.500(a) the following general
requirements for all sharing
arrangements that a participant hospital
may elect to enter into:
• A participant hospital must not
make a gainsharing payment or receive
an alignment payment except in
accordance with a sharing arrangement.
Any gainsharing payments or alignment
payments made pursuant to a sharing
arrangement must be made only from
the participant hospital to the CJR
collaborator with whom the participant
hospital has signed a collaborator
agreement containing a sharing
arrangement.
• CMS may review any sharing
arrangement for compliance with the
requirements of this part and to ensure
that it does not pose a risk to beneficiary
access, beneficiary freedom of choice, or
quality of care.
• Notwithstanding any sharing
arrangements between the participant
hospital and CJR collaborators, the
participant hospital must have ultimate
responsibility for fully complying with
all provisions of the CJR model.
• If a participant hospital enters into
a sharing arrangement, it must update
its compliance program to include
oversight of sharing arrangements and
compliance with the requirements of the
CJR model.
• The board or other governing body
of the participant hospital must have
responsibility for overseeing the
participant hospital’s participation in
the model, its arrangements with CJR
Collaborators, its payment of
gainsharing payments and receipt of
alignment payments, and its use of
beneficiary incentives in the CJR model.
• Participant hospitals must develop
and maintain a written set of policies for
selecting its CJR collaborators. This set
of policies must contain criteria for
selection of CJR collaborators that
include criteria related to, and inclusive
of, the quality of care to be delivered by
the CJR collaborator to beneficiaries
during a CJR episode. The selection
criteria cannot be based directly or
indirectly on the volume or value of
referrals or business otherwise
generated by, between or among the
participant hospital and CJR
collaborators, and any individual or
entity affiliated with a participant
hospital or CJR collaborator. All CJR
collaborators must have met, or agree to
meet, the quality criteria for selection.
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‘‘Sharing Arrangements.’’ We have
consolidated at § 510.500(b) the criteria
that each sharing arrangement must
satisfy. Specifically, each sharing
arrangement must comply with the
following criteria:
• The sharing arrangement must be
set forth in a collaborator agreement that
complies with the requirements of
§ 510.500(c).
• The sharing arrangement must
comply with all relevant laws and
regulations, including the applicable
fraud and abuse laws and all applicable
payment and coverage requirements.
• An individual or entity’s
participation in a sharing arrangement
must be voluntary and without penalty
for nonparticipation.
• The parties must enter into a
sharing arrangement before care is
furnished to CJR beneficiaries under the
terms of the sharing arrangement.
• To be eligible to receive a
gainsharing payment, a CJR collaborator
must meet quality criteria for the
calendar year for which the gainsharing
payment is determined by the
participant hospital. The quality criteria
must be established by the participant
hospital and directly related to CJR
episodes of care.
• To be eligible to receive a
gainsharing payment or make an
alignment payment, a CJR collaborator
other than a PGP must directly furnish
a billable service to a CJR beneficiary
during a CJR episode that occurred in
the calendar year in which the savings
or loss was created.
• To be eligible to receive a
gainsharing payment, a PGP that is a
CJR collaborator must meet the
following criteria:
++ The PGP must have billed for an
item or service that was rendered by one
or more members of the PGP to a CJR
beneficiary during a CJR episode that
occurred during the calendar year in
which the participant hospital’s internal
cost savings was generated, or to which
the NPRA applied;
++ The PGP must contribute to a
participant hospital’s care redesign in
the CJR model and be clinically
involved in the care of CJR beneficiaries.
We set forth in the regulation a nonexhaustive list of ways in which a PGP
might be clinically involved in the care
of CJR beneficiaries.
• No entity or individual, whether a
party to a collaborator agreement or not,
may condition the opportunity to make
or receive gainsharing payments or to
make or receive alignment payments on
the volume or value of referrals or
business otherwise generated by,
between or among the participant
hospital, CJR collaborators, and any
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individual or entity affiliated with a
participant hospital or CJR collaborator.
• Gainsharing payments, if any, must
be—
++ Derived solely from reconciliation
payments, or internal cost savings, or
both;
++ Actually and proportionally
related to the care of beneficiaries in a
CJR episode;
++ Distributed on an annual basis
(not more than once per calendar year);
and
++ Not be a loan, advance payments,
or payments for referrals or other
business.
• Alignment payments from a CJR
collaborator to a participant hospital
may be made at any interval that is
agreed upon by both parties, and must—
++ Not be issued, distributed, or paid
prior to the calculation and issuance by
CMS of a reconciliation report reflecting
a repayment amount; and
++ Not be a loan, advance payments,
or payments for referrals or other
business.
• A participant hospital must not
make a gainsharing payment to a CJR
collaborator that is subject to any action
for noncompliance with this part or the
fraud and abuse laws, or for the
provision of substandard care in CJR
episodes or other integrity problems.
• In a calendar year, the aggregate
amount of all gainsharing payments
distributed by a participant hospital that
are derived from a CJR reconciliation
payment may not exceed the amount of
the reconciliation payment the
participant hospital receives from CMS.
• In a calendar year, the aggregate
amount of all alignment payments
received by the participant hospital
must not exceed 50 percent of the
participant hospital’s repayment
amount. No alignment payments may be
collected by a participant hospital if it
does not owe a repayment amount.
• The aggregate amounts of all
alignment payments from any one CJR
collaborator to a participant hospital
must not be greater than 25 percent of
the participant hospital’s repayment
amount.
• A sharing arrangement must not
induce the participant hospital, CJR
collaborator, or any employees or
contractors of the participant hospital or
CJR collaborator to reduce or limit
medically necessary services to any
Medicare beneficiary.
• A sharing arrangement must not
restrict the ability of a CJR collaborator
to make decisions in the best interests
of its patients, including the selection of
devices, supplies, and treatments.
• The methodology for determining
gainsharing payments must be based, at
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least in part, on criteria related to, and
inclusive of, the quality of care to be
delivered to CJR beneficiaries during an
episode and must not directly account
for the volume or value of referrals or
business otherwise generated by,
between or among the participant
hospital, CJR collaborators, and any
individual or entity affiliated with a
participant hospital or CJR collaborator.
• The methodology for determining
alignment payments must not directly
account for the volume or value of
referrals or business otherwise
generated by, between or among the
participant hospital, CJR collaborators,
and any individual or entity affiliated
with a participant hospital or CJR
collaborator.
• The total amount of a gainsharing
payment for a calendar year paid to an
individual physician or nonphysician
practitioner who is a CJR collaborator
must not exceed 50 percent of the total
Medicare approved amounts under the
Physician Fee Schedule (PFS) for
services furnished to the participant
hospital’s CJR beneficiaries during a CJR
episode by that physician or
nonphysician practitioner.
• The total amount of gainsharing
payments for a calendar year paid to a
PGP that is a CJR collaborator must not
exceed 50 percent of the total Medicare
approved amounts under the Physician
Fee Schedule (PFS) for services that are
billed by the PGP and furnished during
a calendar year by members of the PGP
to the participant hospital’s CJR
beneficiaries during CJR episodes.
• The participant hospital’s
determination of internal cost savings
must satisfy the following criteria:
++ Internal cost savings are
calculated in accordance with generally
accepted accounting principles and
Government Auditing Standards (The
Yellow Book).
++ All amounts determined to be
internal cost savings must reflect actual,
internal cost savings achieved by the
participant hospital through
implementation of care redesign
elements identified and documented by
the participant hospital. Internal cost
savings does not include savings
realized by any individual or entity that
is not the participant hospital.
++ Internal cost savings may not
reflect ‘‘paper’’ savings from accounting
conventions or past investment in fixed
costs.
• All gainsharing payments and any
alignment payments must meet the
requirements set forth in this section
and be administered by the participant
hospital in accordance with generally
accepted accounting principles. In no
event may the participant hospital
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receive any amounts from a CJR
collaborator under a sharing
arrangement that are not alignment
payments.
• All gainsharing payments and
alignment payments must be made
through electronic funds transfers.
‘‘Participation Agreements.’’ We
proposed a number of provisions that
we believed should be set forth in the
sharing arrangement or participation
agreement (now termed ‘‘collaborator
agreement’’). We have finalized and
consolidated these provisions under
§ 510.500(c). Specifically, we are
finalizing our proposal to require that
each collaborator agreement must
include and set forth in writing the
following:
• The collaborator agreement must
contain a description of the arrangement
between the participant hospital and the
CJR collaborator regarding gainsharing
payments and alignment payments. This
description must specify the following:
++ The parties to the sharing
arrangement.
++ The date of the sharing
arrangement.
++ The purpose and scope of the
sharing arrangement; ++ The financial
or economic terms of the sharing
arrangement, including the frequency of
payment, and the methodology and
accounting formula for determining the
amount of any gainsharing payment or
alignment payment.
++ Safeguards to ensure that
alignment payments are made solely for
purposes related to sharing
responsibility for funds needed to repay
Medicare in the CJR model.
++ Plans regarding care redesign.
++ Changes in care coordination or
delivery that is applied to the
participant hospital or CJR collaborators
or both.
++ A description of how success will
be measured.
++ Management and staffing
information, including type of
personnel or contractors that will be
primarily responsible for carrying out
changes to care under the model.
• The collaborator agreement must
contain a requirement that the CJR
collaborator and its employees and
contractors must comply with the
applicable provisions of this part
(including requirements regarding
beneficiary notifications, access to
records, record retention, and
participation in any evaluation,
monitoring, compliance, and
enforcement activities performed by
CMS or its designees) and all other
applicable laws and regulations.
• The collaborator agreement must
require the CJR collaborator to be in
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compliance with all Medicare provider
enrollment requirements at § 424.500 of
this chapter, including having a valid
and active TIN or NPI, during the term
of the agreement.
• The collaborator agreement must
require the CJR collaborator to have a
compliance program that includes
oversight of the collaborator agreement
and compliance with the requirements
of the CJR model.
• The collaborator agreement must set
forth a specific methodology for
accruing, calculating, and verifying the
internal cost savings generated by the
participant hospital based on the care
redesign elements specifically
associated with the particular CJR
collaborator.
++ The methodology must set out the
specific care redesign elements to be
undertaken by the participant hospital
or the CJR collaborator or both.
++ The methodology must be based,
at least in part, on criteria related to,
and inclusive of, the quality of care to
be delivered to CJR beneficiaries during
an episode and must not directly
account for the volume or business
otherwise generated by, between, or
among the participant hospital, CJR
collaborators, and any individual or
entity affiliated with a participant
hospital or CJR collaborator.
++ The specific methodologies for
accruing and calculating internal cost
savings must be transparent,
measurable, and verifiable in
accordance with generally accepted
accounting principles and Government
Auditing Standards (The Yellow Book).
• The collaborator agreement must set
forth the quality criteria established by
the participant hospital that will be
used in determining the gainsharing
payment.
• The collaborator agreement must
require the participant hospital to
recoup gainsharing payments paid to
CJR collaborators if gainsharing
payments contain funds derived from a
CMS overpayment on a reconciliation
report, or were based on the submission
of false or fraudulent data.
• Any alignment payments made
pursuant to a sharing arrangement may
be made only to the participant hospital
from the entity or individual with
whom the participant hospital has
signed a collaborator agreement
containing a sharing arrangement.
• The collaborator agreement must
require the CJR collaborator to comply
with the beneficiary notice requirements
specified in § 510.405, as applicable.
• Any internal cost savings or
reconciliation payments that the
participant hospital seeks to share
through sharing arrangements must
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meet the requirements set forth in this
final rule and be administered by the
participant hospital in accordance with
GAAP. In no event may the participant
hospital distribute any amounts
pursuant to a sharing arrangement that
are not comprised of either internal cost
savings or a reconciliation payment, as
those terms are defined in this final
rule. All amounts determined to be
internal cost savings by the participant
hospital must reflect actual, internal
cost savings achieved by the participant
hospital through implementation of care
redesign elements identified and
documented by the participant hospital.
In no case may internal cost savings
reflect ‘‘paper’’ savings from accounting
conventions or past investment in fixed
costs.
• Any alignment payments that the
participant hospital receives through a
sharing arrangement must meet the
requirements set forth in this final rule
and be administered by the participant
hospital in accordance with GAAP.
• Sharing arrangements must not
include any amounts that are not
alignment payments or gainsharing
payments.
• Each collaborator agreement —
++ Between the participant hospital
and a CJR collaborator must obligate the
CJR collaborator to provide the
participant hospital and HHS access to
the CJR collaborator’s records,
information, and data for purposes of
monitoring and reporting and any other
lawful purpose. Records, information,
and data regarding the sharing
arrangement must have sufficient detail
to verify compliance with all material
terms of the sharing arrangement and
the terms of the CJR model;
++ Must require the participant
hospital and the CJR collaborator to
include in their compliance programs
specific oversight of their collaborator
agreements and compliance with the
requirements of the CJR model;
++ If the participant hospital or CJR
collaborator does not have a compliance
program, each party must create one and
incorporate the provisions described in
this part in that program; and
++ Must require the board or other
governing body of the participant
hospital to have responsibility for
overseeing the participant hospital’s
participation in the model, its
arrangements with CJR Collaborators, its
payment of Gainsharing Payments and
receipt of Alignment Payments, and its
use of beneficiary incentives in the CJR
model.
• Collaborator agreements must
require all CJR collaborators to comply
with any evaluation, monitoring,
compliance, and enforcement activities
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performed by HHS (including CMS and
OIG) and its designees for the purposes
of operating the CJR model.
• Each collaborator agreement must
require the CJR collaborator to permit
site visits from CMS, and its designees,
for purposes of evaluating the model.
‘‘Documentation and Maintenance of
Records.’’ We are finalizing at
§ 510.500(d) our proposal with regard to
certain documentation requirements,
and we are finalizing at new
§ 510.500(e) our proposal regarding
access to documents and record
retention. Under § 510.500(d), we
require the following documentation:
• Documentation of any collaborator
agreement containing a sharing
arrangement must be contemporaneous
with the establishment of the
arrangement.
• A participant hospital must
maintain accurate current and historical
lists of all CJR collaborators, including
their names and addresses. The
participant hospital must update the
lists on at least a quarterly basis and
publicly report the current and
historical lists of CJR collaborators on a
public-facing Web page on the
participant hospital’s Web site.
• The participant hospital and CJR
collaborator must maintain
contemporaneous documentation of the
payment or receipt of any gainsharing
payment or alignment payment. The
documentation must identify at least the
following: The nature of the payment
(gainsharing payment or alignment
payment); the identity of the parties
making and receiving the payment; the
date of the payment; the amount of the
payment; and the date and amount of
any recoupment of all or a portion of a
CJR collaborator’s gainsharing payment.
++ The participant hospital must
keep records of the following:
++ Its process for determining and
verifying the eligibility of CJR
collaborators to participate in Medicare.
++ Information confirming the
organizational readiness of the
participant hospital to measure and
track internal cost savings.
++ The participant hospital’s plan to
track internal cost savings.
++ Information on the accounting
systems used to track internal cost
savings.
++ A description of current health
information technology, including
systems to track reconciliation
payments and internal cost savings.
++ The participant hospital’s plan to
track gainsharing payments and
alignment payments.
++ Whether the participant hospital
recouped any gainsharing payments
received by a CJR collaborator that
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contain funds derived from a CMS
overpayment on a reconciliation report,
or were based on the submission of false
or fraudulent data.
‘‘Access to Records and Record
Retention.’’ Section 510.500(e) finalizes
our proposal regarding government
access to books and records and
document retention requirements.
Specifically, § 510.500(e) requires that
each participant hospital and CJR
Collaborator, at a minimum, adhere to
the following requirements:
• Provide to CMS, the OIG, and the
Comptroller General or their designees
scheduled and unscheduled access to
all books, contracts, records, documents,
and other evidence (including data
related to utilization and payments,
quality criteria, billings, lists of CJR
collaborators, sharing arrangements, and
distribution arrangements, and other
documentation) sufficient to enable the
audit, evaluation, inspection, or
investigation of the individual’s or
entity’s compliance with CJR
requirements, the quality of services
furnished, the obligation to repay any
reconciliation payments owed to CMS,
or the calculation, distribution, receipt,
or recoupment of gainsharing payments,
alignment payments, or distribution
payments.
• Maintain such books, contracts,
records, documents, and other evidence
for a period of 10 years from the last day
of the participant hospital’s
participation in the CJR model or from
the date of completion of any audit,
evaluation, inspection, or investigation,
whichever is later, unless—
++ CMS determines there is a special
need to retain a particular record or
group of records for a longer period and
notifies the participant hospital or CJR
collaborator at least 30 calendar days
before the normal disposition date; or
++ There has been a dispute or
allegation of fraud or similar fault
against the participant hospital or any
CJR collaborator in which case the
records must be maintained for an
additional 6 years from the date of any
resulting final resolution of the dispute
or allegation of fraud or similar fault.
We are finalizing without
modification our proposal that OIG
Authority is not limited or restricted by
the provisions of the CJR model,
including the authority to audit,
evaluate, investigate, or inspect the
participant hospital, CJR Collaborators,
or any other person or entity or their
records, data, or information, without
limitation. In addition, we are finalizing
without change our proposal that none
of the provisions of the CJR model limits
or restricts any other government
authority permitted by law to audit,
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evaluate, investigate, or inspect the
participant hospital, CJR Collaborators,
or any other person or entity or their
records, data, or information, without
limitation. These provisions are
finalized at§ 510.510.
‘‘Distribution Arrangements.’’ As
previously noted, we are finalizing our
proposal with a modification to allow
PGPs that are CJR collaborators to enter
into distribution arrangements for the
purposes of distributing all or a portion
gainsharing payment with certain PGP
members (practice collaboration agents).
We note that we are not requiring the
PGP to distribute all or a portion of a
gainsharing payment to its member
physicians and nonphysician
practitioners. But where a PGP chooses
to make such distributions, this final
rule requires at new § 510.505 that all
distribution arrangements must comply
with all applicable laws and regulations
and the following criteria:
• All distribution arrangements must
be in writing and signed by the PGP and
practice collaboration agent.
• Participation in a distribution
arrangement must be voluntary and
without penalty for nonparticipation.
• The distribution arrangement must
require the practice collaboration agent
to comply with the requirements set
forth in this part.
• The opportunity to receive a
distribution payment must not be
conditioned directly or indirectly on the
volume or value referrals or business
otherwise generated by, between or
among a participant hospital, the PGP,
other CJR collaborators, any practice
collaboration agents, and any individual
or entity affiliated with a participant
hospital, CJR collaborator, or practice
collaboration agent.
• Methodologies for determining
distribution payments must not directly
account for the volume or value of
referrals, or business otherwise
generated, by, between or among the
participant hospital, CJR collaborators,
other CJR collaborators, practice
collaboration agents, and any individual
or entity affiliated with a participant
hospital, CJR collaborator, or practice
collaboration agent.
• A practice collaboration agent is
eligible to receive a distribution
payment only if the PGP billed for an
item or service furnished by the practice
collaboration agent to a CJR beneficiary
during a CJR episode that occurred
during the calendar year in which the
participating hospital accrued the
internal cost savings or earned the
reconciliation payment that comprise
the gainsharing payment made to the
PGP.
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• Where a PGP receives a gainsharing
payment from a participant hospital
pursuant to a sharing arrangement, all
monies contained in such a gainsharing
payment must be shared only with the
physician or nonphysician practitioners
that are PGP members that furnished a
service to a CJR beneficiary during an
episode of care in the calendar year
from which the NPRA, as that term is
defined in section III.C.6. of the final
rule, or internal cost savings was
generated, either or both of which are
the only permitted sources of funds for
a gainsharing payment.
• The total amount of distribution
payments for a calendar year paid to an
individual physician or nonphysician
practitioner who is a practice
collaboration agent must not exceed a
cap. The total amount of distribution
payments for a calendar year paid to a
practice collaboration agent must not
exceed 50 percent of the total Medicare
approved amounts under the Medicare
Physician Fee Schedule (MPFS) for
services billed by the PGP and furnished
by the practice collaboration agent to
the participant hospital’s CJR
beneficiaries during a CJR episode.
• With respect to the distribution of
any gainsharing payment received by a
PGP, the total amount of all distribution
payments must not exceed the amount
of the gainsharing payment.
• All distribution payments must be
made through electronic funds transfers.
• The practice collaboration agents
must retain their ability to make
decisions in the best interests of the
patient, including the selection of
devices, supplies, and treatments.
• The distribution arrangement must
not—
++ Induce a practice collaboration
agent to reduce or limit medically
necessary services to any Medicare
beneficiary; or
++ Reward the provision of items and
services that are medically unnecessary.
• The PGP must maintain
contemporaneous documentation
regarding distribution arrangements in
accordance with § 510.500(e), including
the relevant written agreements, the
date and amount of any distribution
payment, the identity of each practice
collaboration agent who received a
distribution payment, and a description
of the methodology and accounting
formula for determining the amount of
any distribution payment.
• The PGP may not enter into a
distribution arrangement with any
member of the PGP that has a
collaborator agreement in effect with a
participant hospital.
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73433
b. Beneficiary Incentives Under the CJR
Model
In the proposed rule, we stated our
belief that the CJR model would incent
participant hospitals to furnish services
directly and otherwise coordinate
services throughout the episode that
lead to higher quality care for the
beneficiary and lower episode spending.
We proposed that one mechanism that
may be useful to the participant hospital
in achieving these goals would be the
provision of certain items and services
to the beneficiary during the episode of
care. We also considered whether this
policy on beneficiary incentives should
extend to providers and suppliers, other
than the participant hospital, that
furnish services during the CJR episode
of care. In the proposed rule, we stated
our belief that hospitals are better suited
than other providers and suppliers to
provide beneficiary incentives. Thus,
we proposed that participant hospitals
could choose to provide certain in-kind
patient engagement incentives to the
beneficiary, subject to a number of
conditions, including the following:
• The incentive must be provided by
the participant hospital to the
beneficiary during CJR episode of care.
• There must be a reasonable
connection between the item or service
and the beneficiary’s medical care.
• The item or service must be a
preventive care item or service or an
item or service that advances a clinical
goal for a CJR beneficiary, including the
following: Increasing the beneficiary’s
engagement in the management of his or
her own health care; adherence to a
treatment or drug regimen; adherence to
a follow-up care plan; reduction of
readmissions and complications
resulting from LEJR procedures; and
management of chronic diseases and
conditions that may be affected by the
LEJR procedure.
• Items of technology must comply
with certain safeguards, as discussed
later in this section.
• The participant hospital must
maintain contemporaneous
documentation of the incentives
provided to beneficiaries for a period of
10 years.
• The cost of the incentives must not
be shifted to another federal health care
program.
For example, under this proposal,
participant hospitals could provide
incentives such as post-surgical
monitoring equipment to track patient
weight and vital signs for post-surgical
patients discharged directly to home,
but they could not provide theater
tickets, which would bear no reasonable
connection to the patient’s medical care.
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Similarly, we proposed that participant
hospitals might provide post-surgical
monitoring equipment, but not broadly
used technology that is more valuable to
the beneficiary than equipment that is
reasonably necessary for the patient’s
post-surgical care. In such
circumstances, a reasonable inference
arises that the technology would not be
reasonably connected to the medical
care of the patient. Among other things,
this safeguard precludes incentives that
might serve to induce beneficiaries
inappropriately to receive other medical
care that is not included in the episode.
In addition to the conditions
previously noted, we proposed that
participant hospitals would be required
to maintain contemporaneous
documentation of such items and
services furnished whose value exceeds
$10, including the date and identity of
the beneficiary to whom the item or
service was provided. We further
proposed that the required
documentation be maintained for a
period of 10 years.
We also proposed that items and
services involving technology provided
to beneficiaries may not exceed $1,000
in retail value at the time of donation for
any one beneficiary in any one CJR
episode. Items of technology exceeding
$50 in retail value at the time of
donation must remain the property of
the participant hospital and must be
retrieved from the beneficiary at the end
of the episode, with the documentation
of the date of retrieval. In addition, we
proposed that the amount and nature of
the technology must be the minimum
necessary to achieve the goals
previously noted earlier in this section.
Finally, we proposed that beneficiary
incentives may not be tied to the receipt
of services outside the episode of care
and that the cost of the incentives
cannot be shifted to a federal health care
program. Our proposals regarding
beneficiary incentives are consistent
with the policies on beneficiary
incentives in other CMS models, such as
the BPCI initiative.
We sought comment on our proposal
for beneficiary incentives under CJR. In
addition to general comments on the
proposal, we described our interest in
comments on whether the $1000 retail
value limit on technology items and
services is necessary, reasonable, and
appropriate. We also solicited comment
on whether retrieving technology valued
at more than $50 would be too
burdensome and whether elimination of
that requirement would prevent abuse.
We also solicited comment on the
documentation requirement for items
and services furnished that exceed $10,
or whether a different amount would be
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more appropriate and less burdensome.
We welcomed comments on additional
program integrity safeguards for these
arrangements.
We proposed to set forth the CJR
beneficiary incentives policies in
§ 510.505. However, in this final rule,
the beneficiary incentives section has
been renumbered to § 510.515. Thus, the
following discussion incorporates the
final beneficiary incentive policies
under the new section number.
The following is a summary of the
comments received and our responses.
Comment: Many commenters
expressed appreciation for CMS’
proposal to permit beneficiary
incentives to be provided by participant
hospitals. The commenters agreed that
CMS should establish certain conditions
under which beneficiary incentives
would be permitted, in order to ensure
that beneficiary incentives are used
solely to advance the goals of the CJR
model for the beneficiary’s care. These
commenters further agreed that the
beneficiary incentives should only be
used when a beneficiary was in a CJR
episode.
Several commenters expressed
concern about the use of beneficiary
incentives in a payment model such as
the CJR model that commonly includes
a substantial period of PAC services
which may be furnished by different
provider types during the episode, as
opposed to the more traditional use of
beneficiary incentives in a wellness
environment where such incentives are
related to prevention and primary care.
The commenters urged CMS to maintain
the requirement of a reasonable
connection between the service and a
beneficiary’s medical care and that the
service advance a meaningful clinical
goal for the beneficiary under the CJR
model. The commenters suggested that
CMS take two further actions to
strengthen the protections against
hospitals’ misuse of beneficiary
incentives to influence the beneficiary’s
choice of providers and types of care.
First, they recommended that CMS
include strong and specific language
prohibiting the formal or informal use of
incentives as a way to steer beneficiaries
toward a certain provider or type of
services. Second, they urged CMS to
additionally require that hospitals offer
beneficiary incentives in the same way
to all patients and that the hospital
make their beneficiary incentive policy
publicly available.
Response: We appreciate the support
of the commenters for our proposal to
allow beneficiary incentives under
certain conditions in the CJR model,
including requirements related to
advancing a clinical goal and use of the
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incentive during the episode. We wish
to clarify that beneficiary incentives
should be reasonably connected to
medical care that is provided during an
episode, which is consistent with our
proposal that beneficiary incentives not
be tied to the receipt of services outside
the episode of care. We note that the
clinical goals of the model that may be
advanced through beneficiary incentives
include beneficiary adherence to drug
regimens, beneficiary adherence to a
care plan, reduction of readmissions
and complications resulting from LEJR
procedures, and management of chronic
diseases and conditions that may be
affected by the LEJR procedure. We
further note that this final rule defines
an episode to include services for
chronic diseases and conditions that
may be affected by the LEJR procedure
or post-surgical care (see section
III.B.2.b. of this final rule). To the extent
that services for these chronic
conditions are included in CJR model
episodes, we believe it is appropriate to
permit beneficiary incentives to manage
these chronic diseases and conditions
during the episode. For example, we
would consider a beneficiary incentive
to advance the clinical goals of the CJR
model and to be connected to medical
care provided to the beneficiary during
the episode if the incentive is related to
a chronic condition, such as diabetes or
congestive heart failure, that may be
affected by the LEJR procedure or postsurgical care and is included in the LEJR
episode.
We appreciate the concerns of some
commenters about the potential misuse
of beneficiary incentives to steer
beneficiaries toward a certain type of
provider or type of services. We believe
that requiring beneficiary incentives to
be provided only by a participant
hospital partially reduces the likelihood
that such an incentive would be used to
steer a beneficiary toward a specific
PAC provider or type of PAC services.
We are accepting the commenters’
suggestion to add a requirement that
beneficiary incentives must not be tied
to the receipt of items or services from
a particular provider or supplier. We
believe this requirement, which will
appear at new § 510.515(a)(5), will
further reduce the potential for use of
beneficiary incentives to steer a
beneficiary toward a specific provider or
supplier.
While we agree with the commenters
who recommended that we explicitly
prohibit the use of beneficiary
incentives to steer a beneficiary toward
a certain type of provider or types of
services, we do not believe that
hospitals should be required to offer the
incentives in the same way to all
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beneficiaries in the model or to make
their policies regarding beneficiary
incentives publicly available. Hospitals
may want to offer beneficiary incentives
to those CJR model beneficiaries with
the greatest need, even if CJR model
beneficiaries have similar clinical goals.
In addition, we do not believe it would
be appropriate to require hospitals to
make their policies regarding
beneficiary incentives publicly available
because, as later discussed in this
section, we do not believe that the
availability of beneficiary incentives
should be advertised or marketed to
beneficiaries.
We believe that certain aspects of our
proposal on beneficiary incentives will
help to protect the program and
beneficiaries from misuse of such
incentives, including the requirements
that only a hospital may provide patient
incentives, that the incentives must be
furnished during an episode of care, and
that the item or service is either a
preventive care item or service or
advances a clinical goal for a CJR
beneficiary. Accordingly, we are
finalizing the conditions that we
proposed in § 510.515(a)(1) and (2), but
with some modification. First, we wish
to clarify that the items and services
may be provided by the hospital
through an agent who is under the
hospital’s direction and control. We
note that if a reasonable beneficiary
would perceive the item or service as
being from the agent rather than the
hospital, we would not consider the
incentive to have been provided by the
hospital. Second, as previously noted,
we are clarifying in § 510.515(a)(2) that
the items and services must be
reasonably connected to medical care
provided to a beneficiary during an
episode. We are separately
incorporating the requirement that the
item or service be a preventive care item
or service or advance a clinical goal for
a beneficiary in a CJR episode in new
§ 510.515(a)(3). In addition, we are also
adding a new § 510.515(a)(4) to set forth
the proposed requirement that the item
or service must not be tied to the receipt
of services outside of the episode of
care. To clarify, our proposed
requirement that the item or service
must not be tied to the receipt of
services outside of the episode of care
should have also referred to the receipt
of items outside of the episode of care.
Thus, the new § 510.515(a)(4) requires
that the item or service must not be tied
to the receipt of items or services
outside of the episode of care.
Comment: Some commenters
recognized that beneficiary incentives
have potential value to model
beneficiaries, especially the use of new
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technology that will help beneficiaries
better monitor their health. However,
they pointed out that the incentives
could be a financial burden on hospitals
when model beneficiaries can choose
any provider for their care. They added
that beneficiary incentives would lead
to a cost to the hospital, with no
guarantee of quality improvement. The
commenters expressed concerns that
small benefits due to beneficiary
incentives would be outweighed by
their costs to hospitals and the
additional cost to CMS of monitoring
their use.
Response: We recognize that the
provision of beneficiary incentives may
create some additional costs and
administrative burden for participant
hospitals. However, we believe that it is
important to provide participant
hospitals with the option to furnish
beneficiary incentives in a manner that
will not result in patient steering or
other abuse. The participant hospitals
are not required to offer beneficiary
incentives. Thus, hospitals are free to
determine whether it will be useful or
feasible to provide beneficiary
incentives in accordance with the terms
of this final rule.
Comment: Several commenters
recommended that CMS not permit
marketing of beneficiary incentives,
similar to the existing requirements for
beneficiary incentives in Medicare
Advantage plans. The commenters
stated that this additional condition
would provide further protection
against the potential for beneficiary
incentives being used to steer
beneficiaries to certain providers.
Response: We agree that beneficiary
incentives should not be marketed to
beneficiaries, because this could unduly
influence their selection of a provider or
type of service. As discussed previously,
we are incorporating the requirement
that beneficiary incentives must not be
tied to the receipt of items or services
from a particular provider or supplier.
We believe it would be difficult to meet
this requirement if the availability of the
items or services was advertised or
promoted except in the case where a
CJR beneficiary is only made aware of
the availability of the items or services
at the time the beneficiary could
reasonably benefit from them. For
example, when a participant hospital
initiates post-discharge planning for a
CJR beneficiary with a chronic health
condition, the participant hospital could
discuss providing the beneficiary with
an electronic tablet for home use to
track certain measurements and health
information and to transmit this
information periodically to the
beneficiary’s physician to aid in post-
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73435
operative recovery and management of
the chronic health condition. We are
including this condition in new
§ 510.515(a)(6).
Comment: Many commenters opposed
the proposed requirements that
hospitals maintain contemporaneous
documentation of beneficiary incentive
items and services whose value exceeds
$10. The commenters recommended
that CMS increase the threshold to $50,
$100, or a higher value in order to
minimize unnecessary administrative
burden. Some commenters also
suggested that CMS exempt beneficiary
incentives from the 10-year
documentation requirement to further
reduce burden.
Response: We appreciate the
perspectives of the commenters on our
proposed requirements for
contemporaneous documentation of all
beneficiary incentive items and services
furnished whose value exceeds $10,
including the date and the identity of
the beneficiary to whom the item or
service was provided. We note that, like
the $1,000 limit for beneficiary
incentives involving technology items
and services, our proposed
documentation threshold of $10 was
intended to represent the retail value of
the item or service. We proposed a $10
retail value threshold for documentation
because we recognized that a
beneficiary could receive many
incentives that are each of low dollar
value but in the aggregate constitute an
excessively high value to the
beneficiary. We believe is important to
maintain the documentation threshold
at a modest level for all beneficiary
incentives in order to monitor
compliance with the requirements for
providing these items and services. We
believed that the $10 threshold
represented an appropriate balance
between the benefits of beneficiary
incentives and burden of the
documentation requirement.
The commenters did not provide
specific examples of items and services
that would be commonly furnished as
beneficiary incentives such that the
cumulative documentation burden on
the hospital for CJR model beneficiaries
would outweigh the potential benefit to
the beneficiary of the item or services.
However, after considering the
comments, we believe a higher retail
value threshold of $25 would strike the
appropriate balance between beneficiary
and program protections and participant
hospital administrative burden. This
higher threshold will eliminate the
documentation burden for some
beneficiary incentives. Therefore, at
§ 510.515(c)(1), we are finalizing our
proposed requirement that participant
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hospitals must maintain a
contemporaneous list of items and
services furnished as beneficiary
incentives, including the date the
incentive was provided and the identity
of the beneficiary to whom it was
provided. We specify in that section that
this obligation applies only to
incentives that exceed $25 in retail
value. Under new § 510.515(c)(2), we set
forth the requirement that the
participant hospital must retain the
required documentation in accordance
with new § 510.515(e), which we have
added to establish our proposed
documentation and maintenance of
records provision for beneficiary
incentives.
We recognize that the 10-year
retention requirement imposes some
administrative burden, but we note that
such a 10-year requirement is
commonly used in Medicare. We do not
believe it would be appropriate to
reduce that document retention period
for beneficiary incentives furnished
under this model.
Comment: Several commenters
provided their perspectives on the
proposed $50 retail value threshold for
items of technology that must remain
the property of the participant hospital
and be retrieved at the end of the
episode. Some commenters
recommended that CMS increase this
threshold to $100 or $500. Many
commenters expressed particular
concern about the proposed requirement
to retrieve technology from a beneficiary
following the end of the episode
because they believed it could be
impossible to locate some beneficiaries
and/or retrieve the technology from
them in some cases. These commenters
requested that CMS waive this
requirement for hospital demonstration
of a good faith effort to retrieve the
technology. A number of commenters
requested that CMS eliminate the
requirement to maintain documentation
of the date of retrieval. The commenters
generally expressed concerns about the
legal, compliance, documentation, and
administrative resources associated with
the proposed requirements for items of
technology provided as beneficiary
incentives. While no commenters
objected to the proposed retail value
limit of $1,000 on items and services of
technology, a commenter questioned the
meaning of this limit. The commenter
inquired whether a hospital could be
paid by CMS for the incentive and
questioned the use of the term ‘‘donate’’
in the proposed rule in the discussion
of the ‘‘retail value at the time of
donation’’ of items involving
technology.
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Response: The commenters did not
provide specific information about the
types of technology that they believe
should remain the property of the
beneficiary at the end of episode.
However, we believe that a higher
threshold than the one we proposed for
items of technology that must remain
the property of the participant hospital
may result in useful beneficiary
incentives that, in light of other
regulatory safeguards, would not pose
an undue risk of patient steering or
other abuse. One important safeguard is
the inability of a hospital to advertise or
promote the availability of the
technology. In addition, we are
finalizing our proposed safeguard
requiring that items and services
involving technology must be the
minimum necessary to advance a
clinical goal for a CJR beneficiary (as
defined in § 510.515(b)). We note that
we are finalizing the term ‘‘advance a
clinical goal’’ in this provision, rather
than our proposed language (‘‘achieve a
clinical goal’’), for consistency with
§ 510.515(b), which identifies the
clinical goals that may be ‘‘advanced’’
through beneficiary incentives.
Accordingly, in light of these
safeguards, we believe it is appropriate
to raise the technology retrieval
threshold to a retail value of $100
which, for example, would allow some
types of electronic tablets that could be
furnished to a beneficiary for health
monitoring during a CJR model episode
to remain the property of the beneficiary
following the end of the episode.
We understand the administrative
burden on hospitals that tracking and
retrieval requires, but believe that a
higher retrieval threshold is not
warranted. For example, given that the
majority of CJR episodes will be elective
THA or TKA procedures, we believe it
would be inappropriate for participant
hospitals to furnish items of technology
with a retail value of over $100 for
beneficiaries’ permanent use because
the high value of these items could
unduly influence the beneficiary to
receive services from the hospital,
particularly services outside of the CJR
episode of care. We do not believe the
administrative burden of retrieving
items involving technology with a retail
value in excess of $100 outweighs the
program integrity benefits of retrieval.
Therefore, we are finalizing
§ 510.515(d)(3) to reflect the $100 retail
value threshold for retrieval of items of
technology.
We decline to exempt items of
technology and their retrieval date from
the documentation requirements. We
believe that documentation is important
to ensure that the provision of items of
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technology is in compliance with
program requirements and is not used
by a participant hospital to steer
beneficiaries toward one provider or
type of service or to engage in other
abusive conduct. We stress that
hospitals must carefully and completely
document all of their attempts to
retrieve from a beneficiary at the end of
an episode items of technology whose
retail value exceeds $100, regardless of
whether the hospital is ultimately
successful in retrieving the technology.
Documented, diligent, good faith
attempts to retrieve items of technology
will be deemed to meet the retrieval
requirement. These policies are set forth
in § 510.515(d)(3)(ii).
Hospitals will not be reimbursed by
CMS for the cost of items and services
furnished to CJR model beneficiaries as
beneficiary incentives. Participant
hospitals may choose to provide in-kind
patient engagement incentives to
beneficiaries in CJR model episodes in
accordance with the CJR regulations.
Items and services of technology
furnished as beneficiary incentives may
not exceed $1,000 in retail value at the
time they are furnished to any one
beneficiary in a single CJR model
episode.
Finally, we acknowledge that, in light
of our proposal to require retrieval of
certain items of technology, our use of
the word ‘‘donate’’ was imprecise. We
intended to refer to the retail value of
technology at this time it was
‘‘furnished’’ to a model beneficiary.
Comment: Several commenters
recommended that CMS allow other
types of beneficiary incentives,
including waivers of Part B coinsurance
amounts and opportunities for
participant hospitals to share
reconciliation payments with model
beneficiaries when actual episode
spending is less than the target price.
Response: We appreciate these
suggestions for additional beneficiary
incentives. However, we are limiting
our policies to the incentives as
proposed and subsequently modified
and finalized in this final rule. We do
not believe that waivers of the Part B
coinsurance amounts are necessary for
the model test to advance clinical goals
for model beneficiaries in view of the
typical services furnished to
beneficiaries in LEJR episodes and the
aggregate modest associated coinsurance
amounts. We also do not believe that
sharing savings would be appropriate as
such a policy could unduly influence a
beneficiary’s choice of types of care.
Comment: Several commenters
recommended that CMS or the OIG
should establish a dedicated email
address or other communication portal
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for questions about beneficiary
incentives, so that participant hospitals
could receive informal compliance
advice in order to ensure that their use
of beneficiary incentives in the CJR
model meets the required conditions.
Other commenters requested specific
guidance on certain items with respect
to the beneficiary incentives conditions,
including post-surgical intermittent
pneumatic compression devices, the
determination of retail prices,
supportive services that are in short
supply or inadequate such as hot meal
delivery, home preparation for a
beneficiary who left home urgently, or
enhanced homemaker or personal care
aide services.
Response: We appreciate the interest
of the commenters in understanding the
conditions under which beneficiary
incentives can be furnished under the
CJR model. We believe that this final
rule provides sufficient guidance on the
requirements for beneficiary incentives
under the model. Only beneficiary
incentives that meet all of these
requirements are permitted under this
model. We will not provide informal
compliance advice or provide additional
advisory information about specific
items or services or other definitions
and terms in this final rule. Participant
hospitals should review the regulations
for the conditions and requirements to
make sure their plans for beneficiary
incentives comply with all of the
requirements and conditions set forth in
this final rule and any other applicable
law. Any guidance from OIG regarding
its authorities would be provided
outside the scope of this rulemaking.
Comment: Several commenters
recommended that CMS prohibit
hospitals from shifting the cost of the
incentives to government programs
generally, including state health care
programs, not only federal health care
programs. Other commenters suggested
that CMS further extend the costshifting prohibition to commercial
programs.
Response: We intend to prohibit cost
shifting to a ‘‘Federal health care
program,’’ as defined at 42 U.S.C.
1320a–7b(f) (section 1128–7b(f) of the
Act), which encompasses the following
broad array of government health care
programs:
• Any plan or program that provides
health benefits, whether directly,
through insurance, or otherwise, which
is funded directly, in whole or in part,
by the United States Government (other
than the health insurance program
under chapter 89 of title 5, United States
Code [5 U.S.C. 8901 et seq.]); or
• Any state health care program, as
defined in section 1128(h) [42 U.S.C.
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1320a-7(h)], which includes the
following:
• A state plan approved under title
XIX [42 U.S.C. 1396 et seq.].
• Any program receiving funds under
title V [42 U.S.C. 701 et seq.] or from an
allotment to a state under such title.
• Any program receiving funds under
subtitle 1 of title XX [42 U.S.C. 1397 et
seq.] or from an allotment to a State
under such subtitle.
• A state child health plan approved
under title XXI [42 U.S.C. 1397aa et
seq.].
We do not believe it would be
appropriate to expand this cost-shifting
prohibition to other government
programs generally or to commercial
programs. We question whether we have
the authority to expand the cost-shifting
prohibition to commercial payers.
Moreover, we believe it would be very
difficult to enforce such a provision in
a meaningful manner.
We are finalizing this proposed
condition in § 510.515(a)(7).
Final Decision: After consideration of
the public comments we received, we
are finalizing the proposal for
beneficiary incentives under the CJR
model, with certain modifications. We
are clarifying at § 510.515(a)(1) that the
items and services may be provided by
the hospital through an agent who is
under the hospital’s direction and
control. We note that if a reasonable
beneficiary would perceive the item or
service as being from the agent rather
than the hospital, we would not
consider the incentive to have been
provided by the hospital. As previously
noted, we are clarifying in
§ 510.515(a)(2) that the items and
services must be reasonably connected
to medical care provided to a
beneficiary ‘‘during an episode.’’ We are
separately incorporating at
§ 510.515(a)(3) the proposed
requirement that the item or service be
a preventive care item or service or
advance a clinical goal for a beneficiary
in a CJR episode. In addition, we are
also adding a new paragraph(a)(4) at
§ 510.515 to set forth the proposed
requirement that the item or service
must not be tied to the receipt of items
or services outside of the episode of
care. At the suggestion of the
commenters, we are adding new
provisions to require that—(1) The item
or service may not be tied to receipt of
items or services from a particular
provider or supplier; and (2) the
availability of the items or services must
not be advertised or promoted, except
that a beneficiary may be made aware of
the availability of the items or services
at the time the beneficiary could
reasonably benefit from them. These
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conditions appear at § 510.515(a)(5) and
(6). We are finalizing the proposed
requirement in § 510.515(a)(7) that the
cost of the items or services must not be
shifted to another federal health care
program.
We are also finalizing § 510.515(b)
regarding the goals of the CJR model.
We note that § 510.515(b)(2) is being
finalized with modification to avoid
redundancy. The provision will refer to
beneficiary adherence to ‘‘a care plan,’’
rather than ‘‘a follow-up care plan or
care,’’ since a care plan would include
follow up and other care. In addition,
we are finalizing the proposed
documentation requirement for
beneficiary incentives with certain
changes; it will apply only to those
items and services furnished as
beneficiary incentives whose retail
value exceeds $25, and it requires
contemporaneous documentation to be
retained for 10 years. As no commenters
objected to the proposed limit of $1,000
in retail value for items and services
involving technology provided to any
one beneficiary in any one CJR episode,
we are finalizing this requirement under
§ 510.515(d)(1). We are also finalizing in
revised § 510.515(d)(2) the proposed
condition that the items or services
involving technology provided to a
beneficiary must be the minimum
necessary to advance a clinical goal for
a CJR beneficiary. Moreover, we are
modifying the requirement that items of
technology furnished as beneficiary
incentives remain the property of the
participant hospital and be retrieved
from the beneficiary at the end of the
model to apply only to those items of
technology that exceed $100 in retail
value, and finalizing these requirements
under § 510.515(d)(3) and paragraph
(d)(3)(i). Under § 510.515(d)(3)(ii),
documented, diligent, good faith
attempts to retrieve items of technology
will be deemed to meet the retrieval
requirement. Finally, we are adding new
§ 510.515(e) to establish the proposed
documentation and record retention
provision for beneficiary incentives
furnished under the CJR model.
The final beneficiary incentive
policies are set forth in § 510.515.
11. Waivers of Medicare Program Rules
a. Overview
In the proposed rule, we stated our
belief that it may be necessary and
appropriate to provide additional
flexibilities to hospitals participating in
CJR, as well as other providers that
furnish services to beneficiaries in CJR
episodes. The purpose of such
flexibilities would be to increase LEJR
episode quality and decrease episode
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spending or provider and supplier
internal costs, or both, and to provide
better, more coordinated care for
beneficiaries and improved financial
efficiencies for Medicare, providers, and
beneficiaries. These possible additional
flexibilities could include use of our
waiver authority under section 1115A of
the Act, which provides authority for
the Secretary to waive such
requirements of title XVIII of the Act as
may be necessary solely for purposes of
carrying out section 1115A of the Act
with respect to testing models described
in section 1115A(b) of the Act. This
provision affords broad authority for the
Secretary to waive statutory Medicare
program requirements as necessary to
carry out the provisions of section
1115A of the Act.
As we have stated elsewhere in
sections I.A. and III.A.3 of this final
rule, our previous and current efforts in
testing episode payment models have
led us to believe that models where
entities bear financial responsibility for
total Medicare spending for episodes of
care hold the potential to incentivize the
most substantial improvements in
episode quality and efficiency. As
discussed in section III.C. of this final
rule, we proposed that hospitals
participating in this model be eligible
for reconciliation payments based on
improved performance starting in
performance year 1, and we would
phase-in repayment responsibility for
excess episode spending starting in
performance year 2. In the proposed
rule, we stated our belief that where
participant hospitals bear repayment
responsibility for excess episode
spending that surpasses the target price
while high quality care is valued, they
will have an increased incentive to
coordinate care furnished by the
hospital and other providers and
suppliers throughout the episode to
improve the quality and efficiency of
care. With these incentives present,
there may be a reduced likelihood of
over-utilization of services that could
otherwise result from waivers of
Medicare program rules. Given these
circumstances, waivers of certain
program rules for providers and
suppliers furnishing services to CJR
beneficiaries may be appropriate to offer
more flexibility than under existing
Medicare rules for such providers and
suppliers, so that they may provide
appropriate, efficient care for
beneficiaries. An example of such a
program rule that could be waived to
potentially allow more efficient LEJR
episode care would be the 3-day
inpatient hospital stay requirement
prior to a covered SNF stay for
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beneficiaries who could appropriately
be discharged to a SNF after less than
a 3-day inpatient hospital stay.
In addition, in the proposed rule we
stated our belief that waivers of certain
Medicare program rules are necessary to
make reconciliation payments to or
recoup payments from participant
hospitals as a result of the NPRA for
each performance year as discussed in
section III.C.6.a. of this final rule, as
well as to exclude beneficiary costsharing from these reconciliation
payments or repayments.
We welcomed comments on possible
waivers under section 1115A of the Act
of certain Medicare program rules that
surpass those specifically discussed in
the proposed rule that might be
necessary to test this model. In the
proposed rule, we stated that we would
consider the comments that are received
during the public comment period and
our early model implementation
experience and may make future
proposals regarding program rule
waivers during the course of the model
test. We noted that we were especially
interested in comments explaining how
such waivers could provide providers
and suppliers with additional ways to
increase quality of care and reduce
unnecessary episode spending, but that
could be appropriately used in the
context of CJR where participant
hospitals bear full responsibility for
total episode spending by performance
year 3. We were also interested in
receiving comments regarding the
timing and manner in which such
waivers, were they to be offered, would
be implemented. For example, would it
be necessary and appropriate to offer
program waivers early in the model to
allow providers and suppliers adequate
time to adjust their care coordination
strategies to implement changes
permitted by the waivers, despite there
being no full repayment responsibility
for excess episode spending until
performance year 3? What program
integrity and beneficiary protection
risks could be introduced by waivers of
the program rules described later in this
section of this final rule and how could
we mitigate those risks? What other
issues should be considered when
making use of waiver authority with
respect to program rules? What
operational issues do CMS and
providers and suppliers furnishing
services to beneficiaries in the model
need to consider and what processes
would need to be in place to implement
these alternative program policies?
What implications would there be for
provider and supplier infrastructure,
including IT and other systems and
processes? What provider education
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would be needed? We noted that any
waivers included in a final rule would
be offered to participant hospitals, but
depending on the specifics of each
waiver, might be applied to services
furnished by providers and suppliers
other than the hospital. Where that is
the case, we sought input on how we
may best educate and disseminate
information using methods effective in
reaching providers and suppliers.
Additionally, we sought comment on
how we would appropriately and
accurately track the use of waivers by
providers and suppliers other than
participant hospitals.
Specific program rules for which we
proposed waivers under the CJR model
to support provider and supplier efforts
to increase quality and decrease episode
spending and for which we invited
comments are included in the sections
that follow. We proposed that these
waivers of program rules would apply to
the care of beneficiaries who are in CJR
episodes at the time a service is
furnished to a beneficiary under a
waiver, even if the episode is later
canceled as described in section III.B.3.b
of this final rule. If a service is found to
have been billed and paid by Medicare
under circumstances only allowed by a
program rule waiver for a beneficiary
not in the CJR model at the time a
service under a waiver was furnished,
CMS would recoup payment for that
service from the provider or supplier
who was paid, and require that provider
or supplier to repay the beneficiary for
any coinsurance previously collected.
The following is a summary of the
comments received and our response.
Comment: Many commenters
commended CMS for proposing that the
waivers of Medicare program rules
would apply to the care of beneficiaries
who are in CJR episodes at the time a
service is furnished to a beneficiary
under a waiver, even if the episode is
later canceled. The commenters believe
that CMS addressed an important
ambiguity that exists in the use of
similar waivers under BPCI, given that
both BPCI and the proposed CJR model
are retrospective payment models where
payment is made to Medicare providers
and suppliers throughout the episode.
Several commenters requested
clarification of the proposal regarding
its applicability to beneficiaries whose
change in coverage at some point in the
episode following provision of a service
under a waiver leads to the beneficiary’s
care ultimately being excluded from the
model. They provided examples such as
a beneficiary who enrolled in a
Medicare Advantage plan or whose
Medicare eligibility changed to the
ESRD benefit at some point during an
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episode after a service permitted by a
CJR model program rule waiver was
furnished. These commenters argued
that CMS should treat situations of
changes in coverage that exclude
beneficiaries’ care from the CJR model
the same as CMS proposed to treat
episode cancellations. That is, the
commenters recommended that the
waivers should apply to the care of
beneficiaries who are in CJR episodes at
the time a service is furnished to a
beneficiary under the waiver, even if the
beneficiary’s care is later excluded from
the model due to a change in the
beneficiary’s coverage during the
episode.
Response: We agree with the
commenters that it would be
appropriate to treat the applicability of
program rule waivers to beneficiaries
whose care is later excluded from the
model due to changes in beneficiary
coverage in the same way as we
proposed to treat episode cancellations,
because based on beneficiary coverage
at the time services are furnished under
the waiver, the beneficiary’s care was
included in the model. The ultimate
exclusion of the beneficiary’s care from
the model would not be decided until
a later point in the episode when a
change in the beneficiary’s coverage
would result in cancellation of the
episode. As discussed in the proposed
rule in regard to episode cancellation,
we believe it would be appropriate to
cancel the episode when a beneficiary’s
status changes during the episode such
that they no longer meet the criteria for
inclusion. Therefore, if a beneficiary’s
coverage or circumstances change
during the episode such that they no
longer meet the criteria for inclusion, as
would occur in the examples provided
by the commenters, the episode would
be canceled. Thus, under our proposal,
waivers of Medicare program rules
would apply to the care of beneficiaries
who are in CJR episodes at the time a
service is furnished to a beneficiary
under a waiver even if the episode is
later canceled, which includes
circumstances where the beneficiary’s
care is ultimately excluded from the CJR
model due to a change in the
beneficiary’s coverage during the
episode. We believe it is important to
structure the CJR Medicare program rule
waivers in this way so that later episode
cancellations that could not be known
or anticipated by providers or
beneficiaries at the time services are
furnished under a waiver, would not
result in unexpected provider or
beneficiary financial liability.
Final Decision: After consideration of
the public comments we received, we
are finalizing our proposal, without
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modification, that waivers of Medicare
program rules would apply to the care
of beneficiaries who are in CJR model
episodes at the time the service is
furnished to the beneficiary under the
waiver, even if the episode is later
canceled. This policy would include
circumstances where a beneficiary’s
care is ultimately excluded from the CJR
model due to a change in the
beneficiary’s coverage during the
episode. As discussed in the proposed
rule, if a service is found to have been
billed and paid by Medicare under
circumstances only allowed by a
program rule waiver for a beneficiary
not in the CJR model at the time a
service under a waiver was furnished,
CMS will recoup payment for that
service from the provider or supplier
who was paid. However, for this
situation we are not finalizing our
proposal to require that providers or
suppliers repay the beneficiary for any
coinsurance previously collected. We
may consider other approaches to
handling these types of issues in the
future.
In the proposed rule, we also
generally sought comment on any
additional Medicare program rules that
it may be necessary to waive using our
authority under section 1115A of the
Act in order to effectively test the CJR
model that we could consider in the
context of our early model
implementation experience to inform
any future proposals we may make.
The following is a summary of the
comments received and our response.
Comment: Many commenters
requested that CMS consider additional
program rule waivers for the CJR model
that surpass those specifically proposed
for the model. The commenters
provided information about how those
waivers could be used to enhance the
efficiency and quality of care for CJR
model beneficiaries, allowing the widest
variety of interested and well-prepared
providers and suppliers to partner with
hospitals in care redesign for LEJR
episodes. Some suggested waivers were
specific to payment, such as providing
‘‘per diem’’ payment for IRFs, changing
payment under the IPPS PAC transfer
policy, and eliminating the Part B
therapy caps. Several commenters
recommended that CMS waive the Part
B copayments for CJR model
beneficiaries. Requests for waivers
specific to the rules governing certain
types of providers and suppliers
included waivers of the IRF 60-percent
rule and 3-hour therapy rule that
specifies the particular models of
therapy permitted, waiver of the
physician supervision rules for certified
registered nurse anesthetists, and waiver
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of the requirement for physicians to
certify home health services to allow
NPPs to perform this task. Waivers of
CMS review policies for CJR
collaborators were requested by some
commenters, including waivers of
manual medical review policies and
prepayment and postpayment reviews.
Many commenters requested waivers of
the hospital discharge planning
requirements in order to allow hospitals
to share lists of only those PAC
providers collaborating on the model
with the participant hospital, as well as
waivers to allow home health providers
to furnish pre-surgical counseling and
visits and to assist with discharge
planning and care transitions for
beneficiaries. Finally, several
commenters suggested that CMS
provide very general waivers that would
waive all policies that may impact a
PAC provider’s ability to admit a CJR
beneficiary or be paid for services
furnished to them or, even more
broadly, waivers of all the relevant
regulations that impede the ability of
hospitals to effectively coordinate and
manage a patient’s care.
Response: We appreciate the
information provided by the
commenters and, as discussed in the
proposed rule, we will consider the
comments we received during the
public comment period and our early
model implementation experience and
may make future proposals regarding
program rule waivers during the course
of the model test.
We refer readers to section III.F.2. of
this final rule for a discussion of the
discharge planning requirements under
the CJR model.
Final Decision: We address the
Medicare programmatic waivers we
proposed in the proposed rule in the
following sections. We decline at this
time to waive any additional Medicare
programmatic requirements. We will
review the information provided by the
commenters and our early model
experience and may consider waiving
additional requirements during the
course of the model test.
b. Post-Discharge Home Visits
In the proposed rule, we stated our
expectation that the broadly defined
LEJR episodes with duration of 90 days
following hospital discharge as we
proposed in section III.B. of this final
rule would result in participant
hospitals redesigning care by increasing
care coordination and management of
beneficiaries following surgery. This
would require participant hospitals to
pay close attention to any underlying
medical conditions that could be
affected by the anchor hospitalization
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and improving coordination of care
across care settings and providers.
Beneficiaries may have substantial
mobility limitations during LEJR
episodes following discharge to their
home or place of residence that may
interfere with their ability to travel
easily to physicians’ offices or other
health care settings. Adopting new
strategies to increase beneficiary
adherence to and engagement with
recommended treatment and follow-up
care following discharge from the
hospital or PAC setting would also be
important to high quality episode care.
Scientific evidence exists 48 to support
the use of home nursing visits among
Medicare beneficiaries in improving
care coordination following hospital
discharge. In addition, in the proposed
rule, we stated our belief that the
financial incentives in this episode
payment model would encourage
hospitals to closely examine the most
appropriate PAC settings for
beneficiaries so that the clinically
appropriate setting of the lowest acuity
is recommended following discharge
from the anchor hospitalization. We
discussed our expectation that all these
considerations would lead to greater
interest on the part of hospitals and
other providers and suppliers caring for
CJR beneficiaries in furnishing services
to beneficiaries in their home or place
of residence. Such services could
include visits by licensed clinicians
other than physicians and nonphysician
practitioners.
In order for Medicare to pay for home
health services, a beneficiary must be
determined to be ‘‘home-bound’’.
Specifically, sections 1835(a) and
1814(a) of the Act require that a
physician certify (and recertify) that in
the case of home health services under
the Medicare home health benefit, such
services are or were required because
the individual is or was ‘‘confined to the
home’’ and needs or needed skilled
nursing care on an intermittent basis, or
physical or speech therapy or has or had
a continuing need for occupational
therapy. A beneficiary is considered to
be confined to the home if the
beneficiary has a condition, due to an
illness or injury, that restricts his or her
ability to leave home except with the
assistance of another individual or the
aid of a supportive device (that is,
crutches, a cane, a wheelchair or a
walker) or if the beneficiary has a
condition such that leaving his or her
48 Naylor MD, Brooten D, Campbell R, Jacobsen
BS, Mezey MD, Pauly MV, Schwartz JS.
Comprehensive discharge planning and home
follow up of hospitalized elders: A randomized
clinical trial. JAMA. 1999: 281(7): 613 620. doi:10/
1001/jama.281.7.6136.
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home is medically contraindicated.
While a beneficiary does not have to be
bedridden to be considered confined to
the home, the condition of the
beneficiary must be such that there
exists a normal inability to leave home
and leaving home requires a
considerable and taxing effort by the
beneficiary. Absent this condition, it
would be expected that the beneficiary
could typically get the same services in
an outpatient or other setting. Thus, the
homebound requirement provides a way
to help differentiate between patients
that require medical care at home versus
patients who could more appropriately
receive care in a less costly outpatient
setting. Additional information
regarding the homebound requirement
is available in the Medicare Benefit
Manual (Pub 100–02); Chapter 7, ‘‘Home
Health Services’’ Section 30.1.1,
‘‘Patient Confined to the Home’’.
We considered whether a waiver of
the homebound requirement would be
appropriate under the CJR model,
particularly beginning in performance
year 2, where hospitals begin to bear
repayment responsibility for excess
episode spending. Waiving the
homebound requirement would allow
additional beneficiaries to receive home
health care services in their home or
place of residence. As previously
discussed, physician certification that a
beneficiary meets the homebound
requirement is a prerequisite for
Medicare coverage of home health
services, and waiving the homebound
requirement could result in lower
episode spending in some instances. For
example, if a beneficiary is allowed to
have home health care visits, even if the
beneficiary is not considered
homebound, the beneficiary may avoid
a hospital readmission. All other
requirements for the Medicare home
health benefit would remain unchanged.
Thus, under such a waiver, only
beneficiaries who otherwise meet all
program requirements to receive home
health services would be eligible for
coverage of home health services
without being homebound.
However, we did not propose to
waive the homebound requirement
under CJR for several reasons. Based on
the typical clinical course of
beneficiaries after LEJR procedures, we
stated our belief that many beneficiaries
would meet the homebound
requirement for home health services
immediately following discharge from
the anchor hospitalization or following
discharge to their home or place of
residence from a SNF that furnished
PAC services immediately following the
hospital discharge, so they could receive
medically necessary home health
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services under existing program rules.
Home health episodes are 60 days in
duration, and payment adjustments are
made for beneficiaries who require only
a few visits during the home health
episode or who are discharged during
the home health episode. For those CJR
beneficiaries who could benefit from
home visits by a licensed clinician for
purposes of assessment and monitoring
of their clinical condition, care
coordination, and improving adherence
with treatment but who are not
homebound, we did not believe that
paying for these visits as home health
services under Medicare is necessary or
appropriate, especially given that
Medicare payments for home health
services are set based on the clinical
care furnished to beneficiaries who are
truly homebound. Finally, in other CMS
episode payment models, such as BPCI,
we have not waived the homebound
requirement for home health services.
The following is a summary of the
comments received and our response.
Comment: Several commenters
requested that CMS waive the
homebound requirement for the entire
90-day period of time included in the
LEJR episode following discharge from
the anchor hospitalization. They
recommended that such a waiver would
allow home health services to be
furnished whenever medically
necessary throughout the entire length
of the CJR model episode, leading to
improvements in continuity and care
coordination and serving as a natural
extension of home health care furnished
by a HHA that many beneficiaries
would likely receive when homebound
at an earlier time in the episode.
Response: While we appreciate the
commenters’ requests that we waive the
homebound requirement for home
health services, we disagree that
waiving the homebound requirement is
necessary for the test of the CJR model.
As discussed in the proposed rule, we
proposed to waive the ‘‘incident to’’
direct physician supervision
requirement for post-discharge home
visits in order to allow clinical staff to
furnish post-discharge home visits to
CJR model beneficiaries who do not
meet the requirements for home health
services. We believe that this would
allow the home visits for nonhomebound CJR model beneficiaries
that we believe are necessary for testing
the model. As we discussed in the
proposed rule, we believe many CJR
beneficiaries should qualify for home
health services under the existing
program rules, especially immediately
after discharge from the hospital or
discharge from an institutional setting
such as a SNF to their residence.
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Furthermore, as a retrospective payment
model, all providers and suppliers are
paid for services furnished to model
beneficiaries at their usual rates, and
program payments for home health
services are set based on the needs of
Medicare beneficiaries who are truly
homebound. The resources required to
care for homebound beneficiaries in the
home are likely greater than those
required for CJR beneficiaries who are
not homebound. Therefore, waiving the
homebound requirement would lead to
inappropriate payment for postdischarge home visits to CJR model
beneficiaries and could result in
increased CJR episode actual spending,
which is counter to the goals of the CJR
model.
Final Decision: After consideration of
the public comments we received, we
are finalizing our proposal, without
modification, to maintain the existing
Medicare requirements for home health
services, including the requirement that
the beneficiary be homebound, when
home health services are furnished to
CJR model beneficiaries.
In the proposed rule, we noted that in
BPCI, we have provided a waiver of the
‘‘incident to’’ direct physician
supervision requirement in order to
allow a physician or NPP participating
in care redesign under a participating
BPCI provider to bill for services
furnished to a beneficiary who does not
qualify for Medicare coverage of home
health services as set forth under
§ 409.42 where the services are
furnished in the beneficiary’s home
during the episode after the
beneficiary’s discharge from an acute
care hospital. The ‘‘incident to’’ direct
physician supervision requirement is set
forth at § 410.26(b)(5), in which services
and supplies furnished ‘‘incident to’’
the service of a physician or other
practitioner must be provided under the
direct supervision (as defined at
§ 410.32(b)(3)(ii)) of a physician or other
practitioner.
In BPCI, the waiver is available only
for services that are furnished by
licensed clinical staff under the general
supervision (as defined at
§ 410.32(b)(3)(i)) of a physician (or other
practitioner), as long as the individual is
an employee, leased employee, or
independent contractor of the physician
(or other practitioner), or of the same
entity that employs or contracts with the
physician (or other practitioner), and
while the services may be furnished by
licensed clinical staff they must be
billed by the physician (or other
practitioner) in accordance with CMS
instructions using a HCPCS G-code
created by CMS specifically for the BPCI
initiative. As discussed in section III.B.
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of this final rule, participants in the
BPCI initiative are permitted to select
the duration of an episode as 30 days,
60 days or 90 days. In the case of the
‘‘incident to’’ direct physician
supervision waiver under BPCI, the
waiver allows physicians and NPPs to
furnish the services not more than once
in a 30-day episode, not more than
twice in a 60-day episode, and not more
than three times in a 90-day episode. All
other Medicare coverage and payment
criteria must be met.
For the CJR model, we proposed to
waive the ‘‘incident to’’ direct physician
supervision requirement set forth at
§ 410.26(b)(5), to allow a CJR beneficiary
who does not qualify for home health
services to receive post-discharge visits
in his or her home or place of residence
any time during the episode. The waiver
would not apply for beneficiaries who
would qualify for home health services
under the Medicare program, as set forth
under § 409.42. Therefore these visits
could not be billed for such
beneficiaries. We proposed to allow
licensed clinicians, such as nurses,
either employed by a hospital or not, to
furnish the service under the general
supervision of a physician, who may be
either an employee or a contractor of the
hospital. We proposed to allow services
furnished under such a waiver to be
billed under the MPFS by the physician
or NPP or by the hospital to which the
supervising physician has reassigned
his or her benefits. In the latter scenario,
we noted that the post-discharge home
visit services would not be ‘‘hospital
services,’’ even when furnished by
clinical staff of the hospital. While we
used the term ‘‘licensed clinicians’’ in
the proposed rule to describe the
personnel furnishing a post-discharge
home visit to CJR model beneficiaries,
for purposes of consistency with correct
coding guidelines, hereinafter we will
instead use the term ‘‘clinical staff’’ as
it is defined in the CPT coding
guidelines. Specifically, in the ‘‘CPT
Coding Guidelines, Introduction,
Instructions for Use of the CPT
Codebook’’ it says, a ‘‘clinical staff
member is a person who works under
the supervision of a physician or other
qualified health care professional, and
who is allowed by law, regulation and
facility policy to perform or assist in the
performance of a specific professional
service, but does not individually report
that professional service.’’
We proposed that up to 9 postdischarge home visits could be billed
and paid during each 90-day postanchor hospitalization CJR episode.
Given the average PAC length of stay of
approximately 45 days for these
episodes and the incentives under CJR
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73441
to improve efficiency, which may
shorten PAC stays, 9 visits would
represent a home visit on average of
once per week for two-thirds of the 90day episode duration, the period of time
when the typical beneficiary may have
concluded PAC in an efficient episode.
In the proposed rule, we stated our
belief that a home visit of once a week
to a non-homebound beneficiary who
has concluded PAC and who could also
receive services in the physician’s office
or hospital outpatient department as
needed, along with telehealth visits in
the home from a physician or NPP as
proposed, should be sufficient to allow
comprehensive assessment and
management of the beneficiary
throughout the LEJR episode. We
proposed that the service be billed with
HCPCS code GXXXX (CJR model, home
visit for patient assessment performed
by a qualified health care professional
for an individual not considered
homebound, including, but not
necessarily limited to patient
assessment of clinical status, safety/fall
prevention, functional status/
ambulation, medication reconciliation/
management, compliance with orders/
plan of care, performance of activities of
daily living, and making beneficiary
connections to community and other
services; (for use only in the Medicare
approved CJR model); may not be billed
for a 30 day period covered by a
transitional care management code) and
paid at approximately $50 under the
MPFS. We proposed that the standard
MPFS ratesetting methodologies would
establish relative value units (RVUs)
based on the resources required to
furnish the typical service. We stated
that final RVUs under the CY 2016
MPFS for the proposed new HCPCS
code for CJR home visits would be
included in the CJR final rule. In
addition, we proposed to update the
values each year to correspond to final
values established under the MPFS.
The waiver would not apply with
respect to a CJR beneficiary who has
qualified, or would qualify, for home
health services when the visit was
furnished. We discussed our
expectation that the visits by clinical
staff could include patient assessment,
monitoring, assessment of functional
status and fall risk, review of
medications, assessment of adherence
with treatment recommendations,
patient education, communication and
coordination with other treating
clinicians, care management to improve
beneficiary connections to community
and other services, etc. These postdischarge home visits would remove
barriers to follow-up care outside of the
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home with providers and suppliers and
allow the beneficiary to be treated in his
or her home environment or place of
residence, where potential safety
concerns, such as tripping hazards,
could quickly be identified and
remediated. Given these occasions for
further patient assessment and
intervention, we stated out belief that
where such post-discharge home visits
are furnished, there are opportunities to
increase patient-centered care
coordination and decrease episode
spending, potentially resulting in higher
quality care for beneficiaries and
increased episode efficiency which may
benefit the beneficiaries, the Medicare
Trust Fund, and participant hospitals.
We also proposed to waive current
Medicare billing rules in order to allow
the separate reporting of these postdischarge home visits during surgical
global periods. The MPFS payment for
the surgical procedure includes 90 days
of post-operative care furnished by the
surgeon. Post-operative follow-up care
is not separately billable by the surgeon.
We note that in the proposed rule we
had incorrectly stated that Medicare
limits the separate billing of postoperative care when there is a transfer
of care to another practitioner. The
current construction of the global
packages included in MPFS payments
reflects a more narrow view of surgical
follow-up care that does not encompass
broader, more comprehensive models of
post-operative care, such as an episode
model like CJR. As we have noted in the
past, it is also difficult to determine the
appropriate valuation of the various
components of the current global
packages (2015 Physician Fee Schedule
79 FR 67584). We did not believe that
the CJR post-discharge home visits,
which can include nursing assessments
for chronic conditions for which care
may be affected by the surgery, would
replace or substantially duplicate the
kind of post-operative visits involved in
furnishing post-operative follow-up care
for the global surgery procedure under
the MPFS. Instead, we anticipated that
the work of these post-discharge visits
would be similar to the work furnished
by the physician coordinating the
patient’s overall episode care. Therefore,
we proposed to waive the global surgery
billing rules to allow the surgeon or
other practitioners to furnish and bill for
the post-discharge home visits during
surgical global periods.
In the proposed rule, we noted that
we planned to monitor utilization
patterns of post-discharge home visits
under CJR to monitor for overutilization
and significant reductions in medical
home health services. We sought
comments on the proposed waiver of
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the ‘‘incident to’’ direct physician
supervision requirement to pay for a
maximum number of post-discharge
home visits to beneficiaries who do not
qualify for home health services by
clinical staff under the general
supervision of a physician.
The following is a summary of the
comments received and our responses.
Comment: Many commenters
commended CMS for the proposal to
waive the ‘‘incident to’’ direct physician
supervision requirement to allow a CJR
beneficiary who does not qualify for
home health services to receive postdischarge visits in his or her home or
place of residence any time during the
episode. The commenters believe these
home visits will provide participant
hospitals with a useful tool for care
coordination and management that will
ultimately improve the quality and
reduce the cost of an LEJR episode
extending 90 days following hospital
discharge. The commenters asserted that
the flexibility afforded by these postdischarge home visits and the latitude
for testing different configurations of
visits will be very valuable to the
development of new care pathways for
LEJR patients, to CJR model
beneficiaries’ health, and to overall
participant hospital episode quality and
payment performance. In addition,
several commenters specifically
commended CMS for proposing to
waive current Medicare billing rules in
order to allow the separate reporting of
these post-discharge home visits during
surgical global periods. These
commenters explained that this
proposal would allow the clinical staff
of orthopedic surgeons engaged in care
management throughout the CJR
beneficiary’s episode to furnish postdischarge home visits to address
beneficiary health concerns, where the
resources required for the surgeon to
coordinate the beneficiary’s overall
episode of care during the global
surgical period are not accounted for in
the typical case used under the MPFS to
price the global period for the surgical
procedure.
Response: We agree that allowing
post-discharge home visits to be
furnished to non-homebound CJR model
beneficiaries may contribute to
improved care coordination and
management and stronger patient
engagement, ultimately resulting in
better health outcomes and reduced
episode spending. We also believe it is
appropriate for these visits to be paid
separately in addition to payment for
the surgical procedure, if they are
furnished during the global surgical
period ‘‘incident to’’ the services of the
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physician who performed the surgical
procedure.
Comment: Several commenters
recommended that CMS permit home
visits under the ‘‘incident to’’ direct
physician supervision waiver,
regardless of whether or not the
beneficiary qualified for home health
services. These commenters believe that
participant hospitals should have the
full flexibility to determine the most
efficient and appropriate way to furnish
home nursing visits to beneficiaries who
would qualify for home health services,
including those who are homebound.
Response: While we appreciate the
commenters’ suggestions that we
provide maximal flexibility to
participant hospitals to deliver the
configuration of services the hospital
believes to be most appropriate to
manage a beneficiary’s care, we
continue to believe that home visits
furnished under the ‘‘incident to’’ direct
physician supervision waiver should be
limited to CJR model beneficiaries who
otherwise would not qualify for home
health services. We note that while
home health episodes are 60 days in
duration, payment adjustments are
made for beneficiaries who require only
a few visits during the episode or who
are discharged during the home health
episode. Therefore, CJR model
beneficiaries who qualify for home
health services could receive home
health services that would be
appropriately paid even if they qualified
for such services for less than 60 days.
Those beneficiaries who qualify for
home health services for any duration of
time during the CJR model episode
would not need to receive postdischarge home visits under the
‘‘incident to’’ direct physician
supervisions waiver. Furthermore, we
expect that homebound CJR model
beneficiaries may typically need other
types of services provided under the
home health benefit than just postdischarge home visits by clinical staff,
including skilled nursing services,
therapy services, medical supplies, and
medical social services. We would not
expect that post-discharge home visits
provided under the ‘‘incident to’’ direct
physician supervision waiver would
adequately substitute for home health
services under the more comprehensive
Medicare home health benefit. For those
beneficiaries receiving home health
care, paying additionally for postdischarge home visits under the
‘‘incident to’’ direct physician
supervision waiver would be
duplicative of services that should be
furnished under the home health
episode and could lead to ineffective
care coordination and management due
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to the involvement of multiple clinical
staff working for different organizations
or physician practices.
Comment: Many commenters
expressed support for CMS’s proposal to
pay for up to 9 post-discharge home
visits under the proposed ‘‘incident to’’
direct physician supervision waiver for
CJR model beneficiaries during episodes
of care. These commenters asserted that
9 post-discharge home visits should be
sufficient to address the care
coordination and management needs of
beneficiaries throughout the episode
during the time when those
beneficiaries are not homebound. Other
commenters recommended that CMS
should not limit the number to 9 visits
because such a limit inappropriately
prescribes patterns of care. In the
context of bundled payment that
provides a target price for the episode,
these commenters believe that providers
should be able to furnish any number of
home visits they believe is appropriate
based on the beneficiary’s clinical
condition and that there is no risk of
overutilization due to the preestablished target price. Other
commenters arguing in favor of the
proposal for up to 9 post-discharge
home visits further recommended that
CMS revisit the maximum number of
visits over the course of the model and
increase the maximum number
permitted based on the early experience
of model participants if a higher number
of post-discharge visits seems
warranted.
Response: While we understand that
some commenters would prefer no limit
or a higher limit on the number of postdischarge home visits, as discussed
previously these visits are restricted to
CJR model beneficiaries who do not
quality for home health services. The
commenters did not offer specific
clinical rationale for setting a higher
maximum number of post-discharge
home visits. Moreover, we continue to
believe it is appropriate to limit the
number of post-discharge home visits
that can be paid under the CJR model to
mitigate the risk of overutilization,
especially in the early years of the
model where participant hospitals have
no, or limited, repayment responsibility
for excess actual episode spending
above the target price. Thus, we
continue to believe that it is most
appropriate to allow up to 9 postdischarge home visits during a CJR
model episode, which should be
sufficient for the episode period when
CJR model beneficiaries would not
qualify for home health services. As we
discussed in the proposed rule, 9 visits
would represent a home visit on average
of once per week for two-thirds of the
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90-day episode duration, the period of
time when the typical beneficiary may
have concluded PAC in an efficient
episode. We are not prescribing the
periodicity, pattern, or number of these
visits for model beneficiaries. We will
monitor utilization of these visits and
may revisit the maximum number of
visits over the course of the model based
on the implementation experience of
participant hospitals.
Comment: Several commenters
requested that CMS permit HHAs to bill
and be paid for the post-discharge home
visits under the proposed ‘‘incident to’’
direct physician supervision waiver.
They asserted that such a policy would
allow HHA expertise and experience to
contribute to LEJR episode efficiency
and quality because HHAs routinely
furnish effective home nursing visits to
homebound beneficiaries. A commenter
pointed out that beneficiaries receiving
home health care have especially low
hospital readmission rates compared to
beneficiaries receiving PAC from other
types of providers. A number of
commenters asserted that allowing
HHAs to furnish home visits outside of
home health episodes of care would
contribute to continuity of care for CJR
model beneficiaries, as nurses from the
HHA with established relationships
with the beneficiary and his or her
family could continue to furnish home
visits when the beneficiary was no
longer homebound and, therefore, not
eligible for home health services.
Some commenters suggested that
HHAs furnishing post-discharge home
visits could be paid under the MPFS at
the same rate as physicians, while other
commenters suggested that HHAs
should be paid at the HHPPS disciplinespecific LUPA rates for the postdischarge home visits. Commenters
pointed out that HHAs regularly carry
out assessment home visits paid by
commercial insurers, and asserted that
allowing HHAs to furnish home visits to
CJR model beneficiaries who are not in
a home health episode would provide
opportunities for physician groups to
partner with HHAs on needed
interventions.
Some commenters recommended that
other organizations be allowed to
furnish and be paid for home visits to
CJR model beneficiaries, including
community-based organizations and
hospitals. A few commenters asserted
that hospitals should be able to send
nurses to a CJR beneficiary’s home and
bill directly for the services, rather than
a hospital-based physician billing for
those services. Finally, a commenter
suggested that nurse practitioners be
allowed to bill for the home visits.
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Response: We appreciate the
commenters’ suggestions that we permit
HHAs and other organizations and
providers to furnish post-discharge
home visits to CJR model beneficiaries.
We note that nurse practitioners may
currently furnish and bill for home care
visits that are paid by Medicare under
the usual MPFS rules. Under our
proposal, post-discharge home visits
would be furnished ‘‘incident to’’ a
physician’s professional services while
under the general supervision of a
physician. In some cases, this may be
the orthopedic surgeon who performed
the surgical procedure during the
anchor hospitalization, and in other
cases it may be a physician identified by
the participant hospital to assume care
coordination and management
responsibility following the
beneficiary’s discharge from the initial
hospital stay. The regulations at
§ 410.26 outline specific limitations on
‘‘incident to’’ services. We require that
services and supplies furnished
‘‘incident to’’ a physician’s professional
service must be—
• Furnished in a noninstitutional
setting to a non-institutional patient.
• An integral, though incidental, part
of the services of a physician (or other
practitioner) in the course of diagnosis
or treatment of an injury or illness.
• Commonly furnished without
charge or included in the bill of a
physician (or other practitioner).
• Of a type that are commonly
furnished in the office or clinic of a
physician (or other practitioner)
• Furnished under direct supervision
of the physician or practitioner.
• Furnished by the physician,
practitioner with an ‘‘incident to’’
benefit, or auxiliary personnel.
• A physician (or other practitioner)
may be an employee or independent
contractor.
Although we proposed to waive the
direct physician supervision
requirement in § 410.26(b)(5) as
previously discussed, clinical staff
providing post-discharge home visits as
‘‘incident to’’ services would still need
to be considered ‘‘auxiliary personnel’’
(employed, contracted, or leased
employee of the physician or same
employing organization as physician) as
required by § 410.26(a)(1) and
§ 410.26(b)(6). Therefore, it would not
be permissible for HHAs, communitybased organizations, hospitals, or others
to provide post-discharge home visits
under the proposed ‘‘incident to’’ direct
physician supervision waiver as these
entities would not meet the definition of
‘‘auxiliary personnel’’ as outlined in
regulation. At this time, we are
declining to waive any additional
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requirements of the ‘‘incident to’’ rules
that would be necessary for these other
entities to furnish CJR post-discharge
home visits because we continue to
believe that the post-discharge home
visits should always be ‘‘incident to’’ a
physician’s professional services,
including that they are an integral,
although incidental, part of the
physician’s professional services in the
course of the diagnosis or treatment of
an illness of injury, and that they are
furnished by auxiliary personnel (if not
by the physician or practitioner with an
‘‘incident to’’ benefit), who by definition
are linked to the physician (or
employing organization of the
physician) by employment, contract, or
lease. We believe the ‘‘incident to’’
relationship of post-discharge home
visits to a physician’s professional
services is critical due to the importance
of robust care coordination and close
care management to episode cost and
quality performance, given the lengthy,
broadly defined CJR episodes. We note
that in the case where a post-discharge
home visit is furnished by clinical staff
employed by the hospital, the hospital
could bill under the MPFS if the
supervising physician who is an
employee or a contractor of the hospital
has reassigned his or her benefits to the
hospital.
As a result, we are not providing
additional waivers for post-discharge
home visits to beneficiaries in the CJR
model who otherwise do not qualify for
Medicare home health services, other
than under our proposal to allow for 9
post-discharge home visits under the
‘‘incident to’’ direct physician
supervision waiver. We further note that
under BPCI, post-discharge home visits
consistent with the goals of episode
payment for LEJR procedures are
furnished under a similar ‘‘incident to’’
direct physician supervision waiver,
and BPCI participants have not
expressed concerns that the waiver
limits their ability to efficiently provide
the necessary visits. This leads us to
believe that the limited waiver of only
the direct physician supervision
requirement for ‘‘incident to’’ postdischarge home visits that we are
providing under the CJR model will be
sufficient.
Comment: Several commenters
recommended that CMS require
physician claims for post-discharge
home visits to identify and document
the specialties of clinical staff providing
the visit. They recommended that
billing for services provides no
information about the process of care
coordination, which would be
important to understand success under
the model test. The commenters
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expressed concern that the waiver of the
‘‘incident to’’ direct physician
supervision requirement could allow a
non-qualified clinician to provide
follow up care to CJR beneficiaries,
supervised only by a hospital
contractor. Several commenters
requested that CMS further specify the
clinical staff who can furnish postdischarge home visits to CJR model
beneficiaries. Finally, another
commenter inquired whether a nurse,
physical therapist, or occupational
therapist could furnish the visit under
the order of a physician.
Response: We appreciate the interest
of the commenters in understanding the
roles of various clinical staff in care
coordination under the CJR model.
However, we do not plan to collect
specific information about the clinical
staff who furnish post-discharge home
visits under this waiver of the ‘‘incident
to’’ direct physician supervision
requirement because this would be
administratively burdensome to the
physicians involved who are not
themselves participants in the CJR
model and, we believe, unnecessary to
ensure the delivery of safe, medically
necessary services. We proposed to
waive only the direct physician
supervision requirement for ‘‘incident
to’’ services in order to permit general
physician supervision for these home
visits. All other Medicare rules for
coverage and payment of services
‘‘incident to’’ a physician’s service
continue to apply, including that the
personnel meet the definition of
‘‘auxiliary personnel’’ (requiring a
relationship with the billing
professional); that the services and
supplies must be an integral, though
incidental, part of the service of a
physician (or other practitioner) in the
course of diagnosis or treatment of an
injury or illness; and that the services
and supplies must be of a type that are
commonly furnished in the office or
clinic of a physician (or other
practitioner) and must be in compliance
with state law. Thus, we do not believe
it is necessary to apply a different
standard or other requirements to postdischarge home visits permitted under
the CJR model. We also will not further
define the clinical staff that can furnish
the post-discharge home visit but would
refer readers to the description of
clinical staff in the CPT coding
guidelines that we provided earlier in
this section. We further note that the
HCPCS G-code descriptor for the postdischarge home visits includes various
activities that must be in the clinical
staff’s scope of practice, as would be
true for any service furnished ‘‘incident
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to’’ a physician’s service. Finally, the
evaluation approach to the model as
described in section IV. of this final rule
will yield information about care
redesign approaches and their
association with quality and cost
performance under the CJR model.
Comment: Several commenters
expressed support for the proposed
level of payment for the post-discharge
home visits, agreeing that this should
provide adequate payment for the
service. A few commenters
recommended that $50 would not cover
the cost of a home visit by any licensed
provider and recommended that CMS
substantially increase the payment
amount for the visits to reflect the fair
market value of the services.
Response: In response to commenters
recommending a higher payment for the
post-discharge home visits, we note that
we have experience with home visits
being furnished to model beneficiaries
under BPCI, and BPCI participants have
not expressed concern about the MPFS
payment for post-discharge home visits
under that model that are priced in the
same way as our proposal for payment
of such visits under the CJR model. We
proposed to use the standard MPFS
ratesetting methodologies to establish
the MPFS RVUs based on the resources
required to furnish the typical CJR
model post-discharge home visit
service. We did not receive any specific
information from commenters about the
resources required to furnish these CJR
model post-discharge home visits that
would lead us to adjust our proposed
rule estimate of the resources required
to furnish the typical CJR model postdischarge home visit service, which is
similar to the BPCI post-discharge home
visit service. Therefore, we are not
changing our methodology for
determining the payment for the CJR
model post-discharge home visit under
the MPFS. We have crosswalked the
RVUs for the CJR model post-discharge
home visit directly from those used for
the similar service under BPCI, because
we estimate that the typical resources to
furnish these services under the two
models are the same. We provide
specific information on the final HCPCS
post-discharge home visit G-code and
CY 2016 pricing in the following Table
26.
Comment: Several commenters
recommended that CMS waive the
‘‘incident to’’ direct physician
supervision requirement for services
other than just post-discharge home
visits. The commenters recommended
that CMS pay for those services using
existing CPT codes and their RVUs
under the MPFS in order to ensure
appropriate payment for the resources
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required. Infusion therapy was
identified as a service for which the
waiver should be provided, in order to
allow CJR model beneficiaries who
experience post-surgical infections to
receive infusion therapy at home, a
practice that commenters believe would
improve the efficiency of the episode
and increase beneficiary satisfaction
with care.
Response: We appreciate the requests
that CMS waive the ‘‘incident to’’ direct
physician supervision requirement for
services other than post-discharge home
visits. However, we do not agree with
the commenters that such a waiver is
necessary for the CJR model because we
believe existing Medicare program
policies and other proposed waivers of
program rules for this model, such as
the proposed telehealth waiver, will
provide sufficient flexibility to meet the
episode care management and care
coordination needs for CJR model
beneficiaries in a variety of facility,
office, and home settings after discharge
from the anchor hospitalization.
In the specific clinical scenario cited
by the commenters, we note that there
are already several circumstances in
which CMS may cover and pay for
home infusions under existing Medicare
program rules should a beneficiary
develop a post-surgical infection that is
not preventable following LEJR surgery
and that requires treatment with
intravenous antibiotics. For example,
many post-surgical beneficiaries will be
homebound for a period of time, and
skilled nursing visits for infusion would
be covered under the home health
benefit if the beneficiary is homebound
and has no willing and able caregiver
that could administer such a service. In
addition, aDME for an infusion pump
would be covered under the DME
benefit if the drug being infused is
included on the national coverage
determination (NCD) for infusion
pumps (https://www.cms.gov/medicarecoverage-database/details/ncddetails.aspx?NCDId=223&ncdver=
2&DocID=280.14&SearchType=
Advanced&bc=IAAAABAAAAAA&). If
an infusion pump is covered under
DME, Prosthetics, Orthotics, and
Supplies (DMEPOS), the DME supplier
is required to set up the equipment and
provide the training necessary to teach
the patient how to infuse themselves at
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home. Infusion therapy may also be
furnished in SNFs, physicians’ offices,
and hospital outpatient departments.
Thus, because coverage is readily
available to beneficiaries, we do not
believe it is necessary to waive the
‘‘incident to’’ direct physician
supervision requirement for other
services, including infusion therapy, in
order to allow them to be furnished in
the beneficiary’s home under the
general supervision of a physician.
Final Decision: After consideration of
the public comments we received, we
are finalizing the proposal, without
modification, to waive the ‘‘incident to’’
direct physician supervision
requirement set forth at § 410.26(b)(5),
to allow a CJR beneficiary who does not
qualify for home health services to
receive up to 9 post-discharge visits in
his or her home or place of residence
any time during the episode following
discharge from an anchor
hospitalization. We will allow clinical
staff, such as nurses, considered
‘‘auxiliary personnel’’ as defined in
§ 410.26(a)(1), to furnish the service
under the general, rather than direct,
supervision of a physician. In some
situations the clinical staff providing
these services may be employees of the
participant hospital and, as long as
these clinical staff are supervised by a
physician and the appropriate
relationship exists between the
physician and the clinical staff,
payment under the MPFS can be made.
Services furnished under the waiver
will be billed under the MPFS by the
physician or NPP or by the entity,
including a hospital, to which the
supervising physician or NPP has
reassigned his or her benefits. We are
also waiving current Medicare billing
rules in order to allow the separate
reporting by the physician who
performed the LEJR procedure of these
post-discharge home visits during
surgical global periods when he or she
is providing the general supervision of
the post-discharge home visit.
The post-discharge home visit will be
billed with the HCPCS code displayed
in Table 26. This code will be payable
for CJR model beneficiaries beginning
April 1, 2016, the start date of the first
CJR model performance year as
discussed in section III.C.2.a. of this
final rule. Rather than finalizing the
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73445
specific RVUs for this new HCPCS code
in this final rule, we are finalizing them
through reference to the RVUs for
another HCPCS G-code paid under the
MPFS, which will be released in
proximity to this rule. Specifically, the
RVUs for this new code will be based
upon the same inputs used to determine
the CY 2016 payment rate for HCPCS
code G9187 (BPCI initiative home visit
for patient assessment performed by a
qualified health care professional for
individuals not considered homebound
including, but not limited to,
assessment of safety, falls, clinical
status, fluid status, medication
reconciliation/management, patient
compliance with orders/plan of care,
performance of activities of daily living,
appropriateness of care setting; (for use
only in the Medicare-approved BPCI
initiative); may not be billed for a 30day period covered by a transitional
care management code), the specific
HCPCS G-code currently used to report
post-discharge home visits under BPCI.
We are crosswalking the RVUs for new
HCPCS code G9490 to the RVUs for the
existing post-discharge home visit
HCPCS G-code for the BPCI model
because, given our view of the
similarities between these two services
in the two different models and the
similar HCPCS G-code descriptors, we
expect the resources required to be the
same so the two codes are assigned the
same inputs under the standard MPFS
ratesetting methodologies. In summary,
we are finalizing the policy in this CJR
final rule that the new HCPCS code
G9490 for CJR model post-discharge
home visits will have the same RVUs as
HCPCS code G9187 for BPCI model
post-discharge home visits, and we will
finalize the RVUs for HCPCS code
G9187 in the CY 2016 MPFS final rule.
The final CY 2016 RVUs, geographic
practice cost indices and conversion
factor that determine the MPFS payment
for HCPCS code G9187 will be included
in the CY 2016 MPFS final rule. We will
annually update the RVUs for HCPCS
code G9490 for post-discharge home
visits for CJR model beneficiaries by
crosswalking the RVUs for HCPCS code
G9490 to HCPCS code G9187as part of
the annual MPFS update, and
information on the update will be
included in the MPFS final rule each
year.
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TABLE 26—HCPCS CODE FOR POST-DISCHARGE HOME VISITS FOR CJR MODEL BENEFICIARIES
Long descriptor
Short descriptor
G9490 ...............
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HCPCS code
No.
CJR model, home visit for patient assessment performed by clinical staff for an individual not considered homebound, including,
but not necessarily limited to patient assessment of clinical status, safety/fall prevention, functional status/ambulation, medication reconciliation/management, compliance with orders/plan of
care, performance of activities of daily living, and ensuring beneficiary connections to community and other services. (for use
only in the Medicare-approved CJR model); may not be billed
for a 30 day period covered by a transitional care management
code.
Joint replac mod home visit ............
Beneficiaries will be able to receive
post-discharge home visits furnished
under the ‘‘incident to’’ direct physician
supervision waiver only during the CJR
LEJR episode. All other Medicare rules
for coverage and payment of services
‘‘incident’’ to a physician’s service
continue to apply.
The final post-discharge home visit
policies are set forth at § 510.600, which
has been revised to use the term clinical
staff instead of licensed clinician, as
well as to eliminate references to
licensed clinician and supervising
physician employment relationships
that are unnecessary because all other
‘‘incident to’’ coverage and payment
policies continue to apply. The waiver
of certain post-operative billing
restrictions under the MPFS global
surgery rules is set forth at § 510.615.
We note that we plan to monitor
utilization patterns of post-discharge
home visits under CJR to monitor for
overutilization or significant reductions
in home health services. c. Billing and
Payment for Telehealth Services
As discussed in the previous section,
in the proposed rule, we described our
expectation that the CJR model design
features would lead to greater interest
on the part of hospitals and other
providers and suppliers caring for CJR
beneficiaries in furnishing services to
beneficiaries in their home or place of
residence, including physicians’
professional services. While physicians
and NPPs may furnish and be paid by
Medicare for home visits under the
MPFS, few visits are actually furnished
to Medicare beneficiaries because of the
significant physician and NPP resources
required for such visits and the general
structure of most physician and nonphysician practitioner office-based
practices. For example, in 2014 only 2.6
million physician or NPP home E/M
visits were furnished to Medicare
beneficiaries in contrast to almost 250
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million office or other outpatient
evaluation and management visits
furnished by physicians or NPPs. CJR
would create new incentives for
comprehensive episode care
management for beneficiaries, including
early identification and intervention
regarding changes in health status
following discharge from the anchor
hospitalization. We discussed our
understanding that participant hospitals
may want to engage health care
professionals in furnishing timely visits
to homebound or non-homebound CJR
beneficiaries in their homes or places of
residence to address concerning
symptoms or observations raised by
beneficiaries themselves, by clinicians
furnishing home health services, or by
clinical staff furnishing post-discharge
home visits, but physicians and NPPs
committed to LEJR care redesign may
not be able to revise their practice
patterns to meet this home visit need for
CJR beneficiaries.
Under section 1834(m) of the Act,
Medicare pays for telehealth services
furnished by a physician or practitioner
under certain conditions even though
the physician or practitioner is not in
the same location as the beneficiary.
The telehealth services must be
furnished to a beneficiary located in one
of the eight types of originating sites
specified in section 1834(m)(4)(C)(ii) of
the Act, and the site must satisfy at least
one of the requirements of section
1834(m)(4)(C)(i)(I) through (III) of the
Act. These sites include the following:
• Offices of physicians or
practitioners.
• Hospitals.
• CAHs.
• RHCs
• Federally Qualified Health Centers.
• Hospital-based or CAH-based Renal
Dialysis Centers (including satellites).
• SNFs.
• CMHCs.
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RVUs equal to
those of this
HCPCS code for
same calendar
year under the
MPFS
G9187.
Generally, for Medicare payment to be
made for telehealth services under the
MPFS, several conditions must be met,
as set forth under § 410.78(b).
Specifically, the service must be on the
Medicare list of telehealth services and
meet all of the following other
requirements for payment:
• The service must be furnished via
an interactive telecommunications
system.
• The service must be furnished to an
eligible telehealth individual.
• The individual receiving the
services must be in an eligible
originating site.
When all of these conditions are met,
Medicare pays a facility fee to the
originating site and provides separate
payment to the distant site practitioner
for the service. Section 1834(m)(4)(F)(i)
of the Act defines Medicare telehealth
services to include professional
consultations, office visits, office
psychiatry services, and any additional
service specified by the Secretary, when
furnished via a telecommunications
system. For the list of approved
Medicare telehealth services, see the
CMS Web site at https://www.cms.gov/
Medicare/Medicare-GeneralInformation/Telehealth/TelehealthCodes.html. Under section
1834(m)(4)(F)(ii) of the Act, we have an
annual process to consider additions to
and deletions from the list of telehealth
services. We do not include any services
as telehealth services when Medicare
does not otherwise make a separate
payment for them.
Some literature suggests that
technologies that enable health care
providers to deliver care to patients in
locations remote from providers are
being increasingly used to complement
face-to-face patient-provider encounters
in both urban and rural areas.49 In these
49 Telehealth in an Evolving Health Care
Environment: Workshop Summary (2012).
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cases, the use of remote access
technologies may improve the
accessibility and timeliness of needed
care, increase communication between
providers and patients, enhance care
coordination, and improve the
efficiency of care. We noted that certain
professional services that are commonly
furnished remotely using
telecommunications technology are paid
under the same conditions as in-person
physicians’ services, and thus do not
require a waiver to be considered as
telehealth services. Such services that
do not require the patient to be present
in person with the practitioner when
they are furnished are covered and paid
in the same way as services delivered
without the use of telecommunications
technology when the practitioner is in
person at the medical facility furnishing
care to the patient.
In other CMS episode payment
models, such as BPCI Models 2 and 3,
we determined it was necessary to
waive the geographic site requirements
of section 1834(m)(4)(C)(i)(I) through
(III) of the Act. This waiver allows
telehealth services to be furnished to
eligible telehealth individuals when
they are located at one of the eight
originating sites at the time the service
is furnished via a telecommunications
system but without regard to the site
meeting one of the geographic site
requirements. For CJR, we proposed a
waiver of this same provision as well as
waiver of the requirement that the
eligible telehealth individual be in an
originating site when the otherwise
eligible individual is receiving
telehealth services in his or her home or
place of residence. This waiver would
allow providers and suppliers
furnishing services to CJR beneficiaries
to utilize telemedicine for beneficiaries
that are not classified as rural and to
allow the greatest degree of efficiency
and communication between providers
and suppliers and beneficiaries by
allowing beneficiaries to receive
telehealth services at their home or
place of residence. In the proposed rule,
we stated our belief that these waivers
are essential to maximize the
opportunity to improve the quality of
care and efficiency for LEJR episodes
under CJR.
Specifically, like the telehealth waiver
for BPCI, we proposed to waive the
geographic site requirements of section
1834(m)(4)(C)(i)(I) through (III) of the
Act that limit telehealth payment to
services furnished within specific types
Available at: https://www.ic4n.org/wpcontent/
uploads/2014/06/IoM%20Telehealth%202012%20
Workshop%20Summary.pdf. Accessed on June 7,
2015.
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of geographic areas or in an entity
participating in a federal telemedicine
demonstration project approved as of
December 31, 2000. Waiver of this
requirement would allow beneficiaries
located in any region to receive services
related to the episode furnished via
telehealth, as long as all other Medicare
requirements for telehealth services are
met. Any service on the list of Medicare
approved telehealth services and
reported on a claim with an ICD–10–CM
principal diagnosis code that was not
excluded from the CJR episode
definition (see section III.B.2. of this
final rule) could be furnished to a CJR
beneficiary, regardless of the
beneficiary’s geographic location. Under
CJR, this waiver would support care
coordination and increasing timely
access to high quality care for all CJR
beneficiaries, regardless of geography.
Additionally, we proposed to waive,
only for the purpose of testing the CJR
model, the originating site requirements
of section 1834(m)(4)(C)(ii)(I) through
(VIII) of the Act that specify the
particular sites at which the eligible
telehealth individual must be located at
the time the service is furnished via a
telecommunications system.
Specifically, we proposed to waive the
requirement only when telehealth
services are being furnished in the CJR
beneficiary’s home or place of residence
during the episode. Any service on the
list of Medicare approved telehealth
services and reported on a claim with an
ICD–10–CM principal diagnosis code
that was not excluded from the CJR
episode definition (see section III.B.2. of
the final rule) could be furnished to a
CJR beneficiary in his or her home or
place of residence, unless the service’s
HCPCS code descriptor precludes
delivering the service in the home or
place of residence. For example,
subsequent hospital care services could
not be furnished to beneficiaries in their
home since those beneficiaries would
not be inpatients of the hospital.
The following is a summary of the
comments received and our responses.
Comment: Many commenters
expressed support for CMS’s proposal to
waive the geographic site requirements
for telehealth services to allow
beneficiaries in any community to
receive telehealth services. The
commenters believe that this proposal
would allow CJR participant hospitals
the flexibility and opportunity to deliver
needed professional services via
telehealth throughout LEJR episodes in
order to improve care coordination and
management and respond timely to
beneficiary health changes over the
course of the episode. They urged CMS
to finalize this proposal.
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Response: Many commenters
supported our proposal to waive the
geographic site requirements for
telehealth services. We agree with the
commenters that this waiver may
benefit CJR beneficiaries by allowing
them to receive clinically appropriate
telehealth services regardless of their
geographic region, especially given the
national breadth of the final selected
MSAs for the model.
Comment: Many commenters
expressed support for CMS’s proposal to
waive the originating site requirements
of the Act that specify the facility or
office site at which the eligible
telehealth individual must be located at
the time the service is furnished via a
telecommunications system when
telehealth services are being furnished
in the CJR beneficiary’s home or place
of residence during the episode. The
commenters believe that home
telehealth services would allow timely
access to needed care for CJR model
beneficiaries, improve communication
among health care professionals caring
for the beneficiary, enhance care
coordination, and contribute to
improved beneficiary adherence to
recommended treatments. Several
commenters suggested that home
telehealth services could be especially
valuable for specialist physicians
treating beneficiaries for surgical
complications, such as infectious
disease specialists providing
consultation on post-surgical infections.
Commenters urged CMS to finalize this
proposal.
Additionally, several commenters
recommended that CMS modify the
proposed waiver to waive the
originating site requirements of the Act
to allow telehealth services to be
delivered to a model beneficiary when
the beneficiary is not in a facility, office,
or home. A commenter provided the
example of a beneficiary experiencing
an acute event while in a car who could
pull the car off the road and access
needed medical services via telehealth
for treatment of his or her condition if
CMS applied the proposed waiver to
sites other than the home.
Response: Commenters supported our
proposal to allow telehealth services to
be covered when furnished in the CJR
beneficiary’s home or place of
residence. We agree that home
telehealth services may play an
important role in ensuring efficient,
high quality episode care for
beneficiaries recovering at home
following a major lower extremity
surgical procedure furnished during an
anchor hospitalization.
We do not agree with commenters
who suggested we apply this waiver
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beyond the beneficiary’s home or place
of residence. Given the breadth of
originating sites under section
1834(m)(4)(C)(ii) of the Act, which
include the office of a physician or
practitioner, a CAH, a rural health
clinic, a federally qualified health
center, a hospital, a hospital-based or
CAH-based renal dialysis center
(including satellites), a SNF, and a
community mental health center
(CMHC), and our waiver to allow
telehealth services in the model
beneficiary’s home or place of
residence, we do not believe it is
necessary to include additional
locations for beneficiaries to receive
telehealth services during a CJR model
episode. For urgent needs while
traveling or otherwise not at home, we
expect beneficiaries would seek care as
they currently would for such
circumstances to ensure timely services.
For non-urgent needs, consistent with
coordinated episode care that is a goal
of the CJR model, we expect that
beneficiaries would seek care from
treating physicians and NPPs that could
be delivered in one of the sites
permitted under the statute and our
limited waiver of the originating site
requirements.
Comment: Several commenters
recommended that CMS provide
additional waivers that would allow
payment for telehealth services other
than those on the list of Medicareapproved telehealth services. Some
commenters suggested that CMS should
allow payment of any services delivered
by telehealth, while other commenters
requested that CMS permit certain
additional services to be furnished by
telehealth. Requested services include
telemental health, teleconsultations,
telenursing, and home monitoring
services, including those services that
are currently bundled and not
separately paid by Medicare. Given that
CJR beneficiaries are in LEJR episodes
and would commonly require
substantial rehabilitation services
during their post-operative recovery
period, many commenters
recommended that CMS allow
telerehabilitation services to be
furnished by telehealth, including
physical therapy, occupational therapy,
and speech language pathology services.
Response: We appreciate the interest
of the commenters in furnishing
additional services to CJR model
beneficiaries via telehealth. However,
do not agree that we should waive
additional requirements to increase the
list of services that surpass those
currently on the Medicare-approved
telehealth list. We note that some of the
requested services, including individual
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psychotherapy and certain other mental
health services, are already on the
Medicare-approved list of telehealth
services and could, therefore, be
furnished to a CJR beneficiary during an
episode in the beneficiary’s home or
place of residence or at any geographic
location under our proposed waiver.
Certain consultation services, such as
initial inpatient or emergency
department consultations or follow-up
inpatient hospital or SNF consultations,
are also already on the Medicareapproved telehealth list and could be
furnished via telehealth regardless of a
CJR beneficiary’s geographic location
under our proposed waiver. We do not
believe it would be appropriate to pay
separately for currently bundled
services, as this could lead to duplicate
payment. Furthermore, we do not
believe it would be appropriate to add
rehabilitation services to the telehealth
list as we expect that in-person therapy
services already will be available to
many CJR model beneficiaries in the
home, such as during home health care
episodes or furnished by therapists in
private practice. We note that the CJR
episode payment model is testing
episode payment to improve care
coordination and management to
achieve higher quality care at a lower
cost and, therefore, it is not a telehealth
model testing the quality and cost
outcomes due to different services
furnished by telehealth. Thus, we plan
to continue to rely on the list of
Medicare-approved telehealth services
to specify those services that may be
furnished via telehealth to CJR
beneficiaries. That list is updated
annually and is posted on the CMS Web
site at https://www.cms.gov/Medicare/
Medicare-General-Information/
Telehealth/Telehealth-Codes.html.
Comment: Several commenters
recommended that CMS waive the
existing requirements that define the
interactive telecommunications system
that is required for telehealth services to
mean multimedia communication
equipment that includes, at a minimum,
audio and video equipment permitting
two-way, real-time interactive
communication between the patient and
distant site physician or practitioner.
Some commenters specifically
recommended that CMS permit store
and forward technologies to be used,
while other commenters suggested that
CMS let providers determine the
manner in which the specific telehealth
service could be furnished, such as store
and forward, passive remote monitoring,
or audio only, assuming all other
requirements for billing the services are
met. These commenters recommended
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that such changes would expand access
to telehealth services for CJR model
beneficiaries who would benefit from
enhanced monitoring and care
management.
Response: We appreciate the
information from commenters on
alternative approaches to providing care
to patients that are not in-person. We
note that the CJR model is not testing a
telehealth model and, therefore, we do
not intend to fundamentally change the
scope of telehealth requirements for
payment under Medicare. Rather, we
proposed to waive certain existing
telehealth requirements to provide
participant hospitals with additional
tools to improve episode quality and
efficiency given the constraints on
physician time for in-person visits at
distant locations or in the beneficiary’s
home. The proposed waivers would
allow greater physician engagement via
telehealth in CJR beneficiary care
coordination and management following
surgery, regardless of the beneficiary’s
geographic location or home location.
We believe that under the CJR model it
is important for beneficiaries to receive
telehealth services in a way that permits
them to interact with treating health
care professionals in real-time,
including being able to both see and
interact with those providers, and the
treating health care professionals being
able to see and listen to the
beneficiaries. Beneficiaries recovering at
home following major joint replacement
surgery benefit from meaningful
engagement in care that is patientcentered in order to improve their
understanding and adherence to
treatment regimens. Therefore, we do
not believe it would be appropriate to
allow telehealth services to be furnished
to CJR model beneficiaries that do not
meet the existing Medicare telehealth
requirements for communications
technology.
Final Decision: After consideration of
the public comments received, we are
finalizing our proposal, without
modification, to waive the geographic
site requirements of section
1834(m)(4)(C)(i)(I) through (III) of the
Act that limit telehealth payment to
services furnished within specific types
of geographic areas or in an entity
participating in a federal telemedicine
demonstration project approved as of
December 31, 2000. Any service on the
list of Medicare-approved telehealth
services and reported on a claim with an
ICD–10–CM principal diagnosis code
that is not excluded from the CJR
episode definition (see section III.B.2. of
this final rule) can be furnished to a CJR
beneficiary, regardless of the
beneficiary’s geographic location. We
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also are finalizing our proposal to waive
the originating site requirements of
section 1834(m)(4)(C)(ii)(I) through
(VIII) of the Act that specify the
particular sites at which the eligible
telehealth individual must be located at
the time the service is furnished via a
telecommunications system only when
telehealth services are being furnished
in the CJR beneficiary’s home or place
of residence during the episode. Any
service on the list of Medicare approved
telehealth services and reported on a
claim with an ICD–10–CM principal
diagnosis code that is not excluded from
the CJR episode definition (see section
III.B.2. of this final rule) can be
furnished to a CJR beneficiary in his or
her home or place of residence, unless
the service’s HCPCS code descriptor
precludes delivering the service in the
home or place of residence. We will
continue to require that telehealth
services furnished under the CJR model
telehealth waiver be furnished using an
interactive telecommunications system,
consistent with the current requirement
for payment of telehealth services under
the MPFS.
The existing set of codes used to
report evaluation and management (E/
M) visits are extensively categorized and
defined by the setting of the service, and
the codes describe the services
furnished when both the patient and the
practitioner are located in that setting.
Section 1834(m) of the Act provides for
particular conditions under which
Medicare can make payments for office
visits when a patient is located in a
health care setting (the originating sites
authorized by statute) and the eligible
practitioner is located elsewhere.
However, in the proposed rule, we
stated that we did not believe that the
kinds of E/M services furnished to
patients outside of health care settings
via real-time, interactive
communication technology are
accurately described by any existing E/
M codes. This would include
circumstances when the patient is
located in his or her home and the
location of the practitioner is at another
location. Therefore, in order to create a
mechanism to report E/M services
accurately under the CJR model, we
proposed to create a specific set of
HCPCS G-codes to describe the E/M
services furnished to CJR beneficiaries
in their homes via telehealth when the
physician or practitioner is in another
location.
Among the existing E/M visit services,
we stated that we envision these
services would be most similar to those
described by the office and other
outpatient E/M codes. Therefore, we
proposed to structure the new codes
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similarly to the office/outpatient E/M
codes but adjusted to reflect the location
as the beneficiary’s residence and the
virtual presence of the practitioner.
Specifically, we proposed to create a
parallel structure and set of descriptors
currently used to report office or other
outpatient E/M services, (CPT codes
99201 through 99205 for new patient
visits and CPT codes 99212 through
99215 for established patient visits). For
example, in the proposed rule we
discussed a HCPCS G-code for a level 3
E/M visit for an established patient
would be a telehealth visit for the
evaluation and management of an
established patient in the patient’s
home, which requires at least 2 of the
following 3 key components:
• An expanded problem focused
history.
• An expanded problem focused
examination.
• Medical decision making of low
complexity.
Counseling and coordination of care
with other physicians, other qualified
health care professionals or agencies are
provided consistent with the nature of
the problem(s) and the patient’s or
family’s needs or both. Usually, the
presenting problem(s) are of low to
moderate severity. Typically, 15
minutes are spent with the patient or
family or both via real-time, audio and
video intercommunications technology.
The preceding text would be included
in the code descriptor for the proposed
level 3 established patient telehealth E/
M visit HCPCS G-code, just as this
information is currently included in the
code descriptor for the corresponding
level 3 established patient office/
outpatient E/M CPT code.
In the proposed rule, we noted that
we were not proposing a HCPCS G-code
to parallel the level 1 office/outpatient
visit for an established patient, since
that service does not require the
presence of the physician or other
practitioner. We stated our belief that
this would duplicate the home visits for
non-homebound beneficiaries
previously discussed in this section.
We proposed to develop payment
rates for these new telehealth G-codes
for E/M services in the patient’s home
that are similar to the payment rates for
the office/outpatient E/M services, since
the codes will describe the work
involved in furnishing similar services.
Therefore, we proposed to include the
resource costs typically incurred when
services are furnished via telehealth. In
terms of the relative resource costs
involved in furnishing these services, in
the proposed rule we stated our belief
that the efficiencies of virtual
presentation generally limit resource
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73449
costs other than those related to the
professional time, intensity, and MP risk
to marginal levels. Therefore, we
proposed to adopt work and MP RVUs
associated with the corresponding level
of office/outpatient codes as the typical
service because the practitioner’s time
and intensity and MP liabilities when
conducting a visit via telehealth are
comparable to the office visit. We stated
that final RVUs under the CY 2016
MPFS would be included in the CJR
final rule. Additionally, we proposed to
update these values each year to
correspond to final values established
under the MPFS.
We considered whether each level of
visit typically would warrant support by
auxiliary licensed clinical staff within
the context of the CJR model. The cost
of such staff and any associated
supplies, for example, would be
incorporated in the practice expense
(PE) RVUs under the MPFS. For the
lower level visits, levels 1 through 3 for
new visits and 2 and 3 for established
visits, we did not believe that the visit
would necessarily require auxiliary
clinical staff to be available in the
patient’s home. We anticipated these
lower level visits would be the most
commonly furnished and would serve
as a mechanism for the patient to
consult quickly with a practitioner for
concerns that can be easily described
and explained by the patient. We did
not propose to include PE RVUs for
these services, since we did not believe
that virtual visits envisioned for this
model typically incur the kinds of costs
included in the PE RVUs under the
MPFS. For higher level visits, we
typically would anticipate some amount
of support from auxiliary clinical staff.
For example, wound examination and
minor wound debridement would be
considered included in an E/M visit and
would require licensed clinical staff to
be present in the beneficiary’s home
during the telehealth visit in order for
the complete service to be furnished.
We stated our belief that it would be
rare for a practitioner to conduct as
complex and detailed a service as a
level 4 or 5 E/M home visit via
telehealth for CJR beneficiaries in LEJR
episodes without licensed clinical staff
support in the home.
However, we also noted that the
proposed model already includes
several avenues for licensed clinical
staff to be in the patient’s home, either
through a separately paid home visit as
proposed for the model or through home
health services as discussed earlier in
this final rule. Therefore, although we
considered support by auxiliary clinical
staff to be typical for level 4 or 5 E/M
visits furnished to CJR beneficiaries in
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the home via telehealth, we did not
propose to incorporate these costs
through PE RVUs. Given the anticipated
complexity of these visits, we noted that
we would expect to observe level 4 and
5 E/M visits to be reported on the same
claim with the same date of service as
a home visit or during a period of
authorized home health care. If neither
of these occurs, we proposed to require
the physician to document in the
medical record that auxiliary licensed
clinical staff were available on site in
the patient’s home during the visit and
if they were not, to document the reason
that such a high-level visit would not
require such personnel.
We noted that because the services
described by the HCPCS G-codes for the
proposed model, by definition, are
furnished remotely using
telecommunications technology, they
therefore are paid under the same
conditions as in-person physicians’
services and they do not require a
waiver to the requirements of section
1834(m) of the Act. We also noted that
because these home telehealth services
would be E/M services, all other
coverage and payment rules regarding
E/M services would continue to apply.
We additionally noted that under the
CJR model, this proposal to waive the
originating site requirements and create
new home visit telehealth HCPCS codes
would support the greatest efficiency
and timely communication between
providers and beneficiaries by allowing
beneficiaries to receive telehealth
services at their places of residence.
The following is a summary of the
comments received and our response.
Comment: Several commenters
expressed support for CMS’s proposal to
establish specific HCPCS G-codes for
reporting telehealth visits furnished in
the beneficiary’s home or place of
residence. They believe these codes
would facilitate tracking these services
and improve understanding of the role
of these visits in episode care. Several
commenters suggested that the
resources required to deliver these visits
would be similar to the existing CPT
office and other outpatient care E/M
visit codes paid under the MPFS,
consistent with CMS’s proposal. A
commenter suggested that as the CPT
Editorial Panel develops CPT codes to
report telehealth services, CMS should
consider their use in the future for the
CJR model.
Response: We agree that currently
specific HCPCS G-codes are the most
appropriate way for telehealth visits
furnished in the CJR beneficiary’s home
or place of residence to be reported and
paid. We have established that the work
and MP RVUs for these new HCPCS Gcodes will be the same as those for the
comparable office and other outpatient
E/M visit codes under the CY 2016
MPFS. The HCPCS G-codes, their
descriptors, and the CPT codes upon
which their RVUs are based are
displayed in Table 27. As noted in the
proposed rule, we will not be including
PE RVUs in the payment rate for these
unique CJR model services as we believe
any practice expenses incurred to
furnish these services are marginal or
are paid for through other MPFS
services. Accordingly, we are waiving
section 1834(m)(4)(2)(B) to allow this
deviation from the payment of office/
outpatient visits for purposes of the CJR
model telehealth in-home visit services.
Finally, we will consider new CPT
codes as they are released according to
our usual processes, and will
specifically evaluate whether they may
be used in the future to report home
telehealth visits for CJR model
beneficiaries.
Final Decision: After considering the
public comments we received, we are
finalizing our proposal, without
modification, to create 9 HCPCS Gcodes to report home telehealth E/M
visits furnished under the CJR waiver as
displayed in Table 27. These codes will
be payable for CJR model beneficiaries
beginning April 1, 2016, the start date
of the first CJR model performance year
as discussed in section III.C.2.a. of this
final rule. Rather than finalizing the
RVUs for the new HCPCS codes in this
final rule, we are finalizing them
through reference to the RVUs for other
CPT codes paid under the MPFS as
equal to the work and MP RVUs that
will be established for the comparable
office/outpatient visits in the CY 2016
MPFS final rule.
The final CY 2016 RVUs, geographic
practice cost indices and conversion
factor that determine the payment rates
for the CPT codes will be included in
the CY 2016 MPFS final rule.
We will update the RVUs for the CJR
model HCPCS telehealth G-codes
annually by crosswalking them to the
corresponding CPT codes as part of the
annual MPFS update, and information
on the updates will be included in the
MPFS final rule each year.
TABLE 27—HCPCS CODES FOR TELEHEALTH VISITS FOR CJR MODEL BENEFICIARIES IN HOME OR PLACE OF RESIDENCE
Long descriptor
G9481 ..............
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HCPCS Code
No.
Remote in-home visit for the evaluation and management of a new
patient for use only in the Medicare-approved CJR model, which requires these 3 key components:
• A problem focused history;
• A problem focused examination; and
• Straightforward medical decision making, furnished in real time
using interactive audio and video technology.
Counseling and coordination of care with other physicians, other qualified health care professionals or agencies are provided consistent
with the nature of the problem(s) and the needs of the patient or the
family or both. Usually, the presenting problem(s) are self limited or
minor. Typically, 10 minutes are spent with the patient or family or
both via real time, audio and video intercommunications technology.
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Short descriptor
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Remote E/M new pt
10mins.
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Work and MP RVUs
Equal to Those of the
Corresponding Office/
Outpatient E/M Visit
CPT Code for Same
Calendar Year under the
MPFS
99201
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73451
TABLE 27—HCPCS CODES FOR TELEHEALTH VISITS FOR CJR MODEL BENEFICIARIES IN HOME OR PLACE OF
RESIDENCE—Continued
HCPCS Code
No.
Long descriptor
G9482 ..............
Remote in-home visit for the evaluation and management of a new
patient for use only in the Medicare-approved CJR model, which requires these 3 key components:
• An expanded problem focused history;
• An expanded problem focused examination;
• Straightforward medical decision making, furnished in real time
using interactive audio and video technology. Counseling and coordination of care with other physicians, other qualified health care
professionals or agencies are provided consistent with the nature of
the problem(s) and the needs of the patient or the family or both.
Usually, the presenting problem(s) are of low to moderate severity.
Typically, 20 minutes are spent with the patient or family or both via
real time, audio and video intercommunications technology
Remote in-home visit for the evaluation and management of a new
patient for use only in the Medicare-approved CJR model, which requires these 3 key components:
• A detailed history;
• A detailed examination;
• Medical decision making of low complexity, furnished in real time
using interactive audio and video technology. Counseling and coordination of care with other physicians, other qualified health care
professionals or agencies are provided consistent with the nature of
the problem(s) and the needs of the patient or the family or both.
Usually, the presenting problem(s) are of moderate severity. Typically, 30 minutes are spent with the patient or family or both via real
time, audio and video intercommunications technology.
Remote in-home visit for the evaluation and management of a new
patient for use only in the Medicare-approved CJR model, which requires these 3 key components:
• A comprehensive history;
• A comprehensive examination;
• Medical decision making of moderate complexity, furnished in real
time using interactive audio and video technology. Counseling and
coordination of care with other physicians, other qualified health
care professionals or agencies are provided consistent with the nature of the problem(s) and the needs of the patient or the family or
both. Usually, the presenting problem(s) are of moderate to high severity. Typically, 45 minutes are spent with the patient or family or
both via real time, audio and video intercommunications technology.
Remote in-home visit for the evaluation and management of a new
patient for use only in the Medicare-approved CJR model, which requires these 3 key components:
• A comprehensive history;
• A comprehensive examination;
• Medical decision making of high complexity, furnished in real time
using interactive audio and video technology. Counseling and coordination of care with other physicians, other qualified health care
professionals or agencies are provided consistent with the nature of
the problem(s) and the needs of the patient or the family or both.
Usually, the presenting problem(s) are of moderate to high severity.
Typically, 60 minutes are spent with the patient or family or both via
real time, audio and video intercommunications technology.
Remote in-home visit for the evaluation and management of an established patient for use only in the Medicare-approved CJR model,
which requires at least 2 of the following 3 key components:
• A problem focused history;
• A problem focused examination;
• Straightforward medical decision making, furnished in real time
using interactive audio and video technology. Counseling and coordination of care with other physicians, other qualified health care
professionals or agencies are provided consistent with the nature of
the problem(s) and the needs of the patient or the family or both.
Usually, the presenting problem(s) are self limited or minor. Typically, 10 minutes are spent with the patient or family or both via real
time, audio and video intercommunications technology.
G9483 ..............
G9484 ..............
G9485 ..............
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G9486 ..............
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Short descriptor
Fmt 4701
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Work and MP RVUs
Equal to Those of the
Corresponding Office/
Outpatient E/M Visit
CPT Code for Same
Calendar Year under the
MPFS
Remote E/M new pt
20mins.
99202
Remote E/M new pt
30mins.
99203
Remote E/M new pt
45mins.
99204
Remote E/M new pt
60mins.
99205
Remote E/M est. pt
10mins.
99212
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TABLE 27—HCPCS CODES FOR TELEHEALTH VISITS FOR CJR MODEL BENEFICIARIES IN HOME OR PLACE OF
RESIDENCE—Continued
HCPCS Code
No.
Long descriptor
G9487 ..............
Remote in-home visit for the evaluation and management of an established patient for use only in the Medicare-approved CJR model,
which requires at least 2 of the following 3 key components:
• An expanded problem focused history;
• An expanded problem focused examination;
• Medical decision making of low complexity, furnished in real time
using interactive audio and video technology. Counseling and coordination of care with other physicians, other qualified health care
professionals or agencies are provided consistent with the nature of
the problem(s) and the needs of the patient or the family or both.
Usually, the presenting problem(s) are of low to moderate severity.
Typically, 15 minutes are spent with the patient or family or both via
real time, audio and video intercommunications technology.
Remote in-home visit for the evaluation and management of an established patient for use only in the Medicare-approved CJR model,
which requires at least 2 of the following 3 key components:
• A detailed history;
• A detailed examination;
• Medical decision making of moderate complexity, furnished in real
time using interactive audio and video technology. Counseling and
coordination of care with other physicians, other qualified health
care professionals or agencies are provided consistent with the nature of the problem(s) and the needs of the patient or the family or
both. Usually, the presenting problem(s) are of moderate to high severity. Typically, 25 minutes are spent with the patient or family or
both via real time, audio and video intercommunications technology
Remote in-home visit for the evaluation and management of an established patient for use only in the Medicare-approved CJR model,
which requires at least 2 of the following 3 key components:
• A comprehensive history;
• A comprehensive examination;
• Medical decision making of high complexity, furnished in real time
using interactive audio and video technology. Counseling and coordination of care with other physicians, other qualified health care
professionals or agencies are provided consistent with the nature of
the problem(s) and the needs of the patient or the family or both.
Usually, the presenting problem(s) are of moderate to high severity.
Typically, 40 minutes are spent with the patient or family or both via
real time, audio and video intercommunications technology.
G9488 ..............
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G9489 ..............
With respect to home health services
paid under the HH PPS, in the proposed
rule we emphasized that telehealth
visits under this model cannot
substitute for in-person home health
visits per section 1895(e)(1)(A) of the
Act. Furthermore, telehealth services by
social workers could not be furnished
for CJR beneficiaries who are in a home
health episode of care because medical
social services are included as home
health services per section 1861(m) of
the Act and paid for under the Medicare
HH PPS. However, telehealth services
permitted under section 1834 of the Act
and furnished by physicians or other
practitioners, specifically physician
assistants, nurse practitioners, clinical
nurse specialists, certified nurse
midwives, nurse anesthetists,
psychologists, and dieticians, could be
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Short descriptor
Remote E/M est. pt
15mins.
99213
Remote E/M est. pt
25mins.
99214
Remote E/M est. pt
40mins.
99215
furnished for CJR beneficiaries who are
in a home health episode of care.
Finally, sections 1835(a) and 1814(a) of
the Act require that the patient has a
face-to-face encounter with the
certifying physician or an allowed NPP
working in collaboration with or under
the supervision of the certifying
physician before the certifying
physician certifies that the patient is
eligible for home health services. Under
§ 424.22(a)(1)(v), the face-to-face
encounter can be performed up to 90
days prior to the start of home health
care or within 30 days after the start of
home health care. Section
424.22(a)(1)(v)(A) also allows a
physician, with privileges, who cared
for the patient in an acute or PAC
setting (from which the patient was
directly admitted to home health) or an
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Work and MP RVUs
Equal to Those of the
Corresponding Office/
Outpatient E/M Visit
CPT Code for Same
Calendar Year under the
MPFS
allowed NPP working in collaboration
with or under the supervision of the
acute or PAC physician to conduct the
face-to-face encounter.
Although sections 1835(a) and 1814(a)
of the Act allow the face-to-face
encounter to be performed via
telehealth, we did not propose that the
waiver of the telehealth geographic site
requirement for telehealth services and
the originating site requirement for
telehealth services furnished in the CJR
beneficiary’s home or place of residence
would apply to the face-to-face
encounter required as part of the home
health certification when that encounter
is furnished via telehealth. In other
words, when a face-to-face encounter
furnished via telehealth was used to
meet the requirement for home health
certification, the usual Medicare
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telehealth rules would apply with
respect to geography and eligibility of
the originating site. We discussed our
expectation that this policy would not
limit CJR beneficiaries’ access to
medically necessary home health
services because beneficiaries receiving
home health services during a CJR
episode would have had a face-to-face
encounter with either the physician or
an allowed NPP during their anchor
hospitalization or a physician or
allowed NPP during a PAC facility stay
prior to discharge directly to home
health services.
The following is a summary of the
comments received and our responses.
Comment: Some commenters
recommended that CMS waive
additional telehealth requirements to
allow HHAs, physical therapists,
occupational therapists, and speech
language pathologists to furnish
telehealth services to CJR model
beneficiaries.
Response: Commenters expressed
interest in increasing the types of
providers and suppliers eligible to
deliver telehealth services to CJR model
beneficiaries; however, we believe it is
most appropriate to continue to limit
the health care professionals who can
furnish telehealth services under the
CJR model to those currently authorized
to provide telehealth services under the
statute, specifically, physicians, nurse
practitioners, physician assistants,
nurse-midwives, clinical nurse
specialists, certified registered nurse
anesthetists, clinical psychologists,
clinical social workers, and registered
dieticians or nutrition professionals.
Given the services on the Medicareapproved telehealth list and CMS’s
experience with telehealth services
furnished by currently eligible
physicians and practitioners, we do not
believe it is necessary to increase the
types of practitioners eligible to provide
telehealth services under the CJR model.
As discussed earlier in this section, we
are not adding additional types of
services to the telehealth list and,
therefore, we do not see a need to add
other types of health care professionals
to the list of those currently authorized
to furnish telehealth services. We note
that the model is not a test of telehealth
services and that the proposed
telehealth waivers under the CJR model
are designed to increase the
opportunities for care management and
coordination for this test of episode
payment. Finally, we expect that CJR
model beneficiaries in home health
episodes of care will commonly receive
in-home health nursing visits and
therapy services by HHAs on a regular
basis. We note that while we expect the
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proposed telehealth waivers to increase
access to services in the home where
otherwise beneficiaries would not have
access to such services, this would not
hold true for HHAs who typically
currently provide services in the home
to Medicare beneficiaries under existing
program rules.
Comment: Several commenters
recommended that CMS permit the
certification for home health services to
occur via telehealth, regardless of the
geographic location of the beneficiary,
as well as at the beneficiary’s home or
place of residence.
Response: Commenters expressed
interest in broadening the circumstances
in which home health certification may
occur via telehealth, as discussed
previously we do not believe that the
limitations under current law will lead
to access problems for CJR model
beneficiaries. During a CJR episode most
beneficiaries would have had a face-toface encounter with either the physician
or an allowed NPP during their anchor
hospitalization or a physician or
allowed NPP during a PAC facility stay
prior to discharge directly to home
health services. Therefore, the usual
Medicare telehealth rules would apply
to these CJR beneficiaries with respect
to geography and eligibility of the
originating site.
Final Decision: After consideration of
the public comments we received, we
are finalizing our proposal, without
modification, to allow telehealth
services furnished under the CJR model
waiver of telehealth requirements to be
furnished only by physicians and
practitioners currently eligible to
furnish Medicare-approved telehealth
services under the MPFS. In addition,
the usual Medicare rules regarding
geography and originating site will
continue to apply to the face-to-face
encounter required for home health
certification.
As we further discussed in the
proposed rule, under the proposed
waiver of the geographic site
requirement and originating site
requirement, all telehealth services
would be required to be furnished in
accordance with all Medicare coverage
and payment criteria, and no additional
payment would be made to cover set-up
costs, technology purchases, training
and education, or other related costs.
The facility fee paid by Medicare to an
originating site for a telehealth service
would be waived if there is no facility
as an originating site (that is, the service
was originated in the beneficiary’s
home). Finally, providers and suppliers
furnishing a telehealth service to a CJR
beneficiary in his or her home or place
of residence during the episode would
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73453
not be permitted to bill for telehealth
services that were not fully furnished
when an inability to provide the
intended telehealth service is due to
technical issues with
telecommunications equipment
required for that service. Beneficiaries
would be able to receive services
furnished in accordance with the
telehealth waivers only during the CJR
LEJR episode.
The following is a summary of the
comments received and our response.
Comment: Several commenters
recommended that CMS pay a
technology fee for telehealth services
originating in a model beneficiary’s
home, comparable to the facility
originating site fee. The commenters
recommended that such a fee was
necessary to pay the costs of technology
required in the home for a beneficiary
to receive a telehealth visit furnished
via a real-time interactive
telecommunications system.
Response: We appreciate the
commenters’ perspective on the
beneficiary’s technology needs for
telehealth visits. However, we do not
plan to provide a fee because we believe
that in most circumstances, the
technology can be available to the
beneficiary in the home if necessary for
a telehealth visit without requiring
additional resources. Many beneficiaries
may already have such technology in
their home, such as a computer with the
needed capacity. In addition, we expect
that clinical staff furnishing visits paid
under a home health episode of care or
providing post-discharge home visits
will commonly carry such technology
that could be used if the timing of the
telehealth visit is coordinated with the
presence of such clinical staff in a
beneficiary’s home. We expect that in
some cases, efficient and effective care
management during an episode may
result in closer collaboration among
treating providers and clinical staff
caring for CJR beneficiaries such that
such coordinated visits may occur. As
discussed earlier in this section, we
believe that it would be rare for a
practitioner to conduct as complex and
detailed a service as a level 4 or 5 E/M
home visit via telehealth for CJR
beneficiaries in LEJR episodes without
licensed clinical staff support in the
home. Finally, we note that as discussed
in section III.C.10.a.(2) of this final rule,
participant hospitals are permitted to
furnish certain beneficiary incentives to
CJR beneficiaries, including items of
technology that could be used for a
beneficiary telehealth visit.
Final Decision: After consideration of
the public comments we received, we
are finalizing our proposal, without
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modification, to waive the facility fee
for telehealth services furnished in a
beneficiary’s home or place of residence
under the CJR model.
Summary of Final Decisions: For CJR
model beneficiaries, with the exception
of the existing geographic site
requirement for a face-to-face encounter
for home health certification, we are
finalizing our proposal, without
modification, to waive the geographic
site requirements of section
1834(m)(4)(C)(i)(I) through (III) of the
Act that limit telehealth payment to
services furnished within specific types
of geographic areas or in an entity
participating in a federal telemedicine
demonstration project approved as of
December 31, 2000. Any service on the
list of Medicare-approved telehealth
services and reported on a claim with an
ICD–10–CM principal diagnosis code
that is not excluded from the CJR
episode definition (see section III.B.2. of
this final rule) can be furnished to a CJR
beneficiary, regardless of the
beneficiary’s geographic location. For
CJR model beneficiaries, with the
exception of the existing originating site
requirement for a face-to-face encounter
for home health certification, we are
also finalizing our proposal, without
modification, to waive the originating
site requirements of section
1834(m)(4)(C)(ii)(I) through (VIII) of the
Act that specify the particular sites at
which the eligible telehealth individual
must be located at the time the service
is furnished via a telecommunications
system only when telehealth services
are being furnished in the CJR
beneficiary’s home or place of residence
during the episode. Any service on the
list of Medicare-approved telehealth
services and reported on a claim with an
ICD–10–CM principal diagnosis code
that is not excluded from the CJR
episode definition (see section III.B.2. of
this final rule) can be furnished to a CJR
beneficiary in his or her home or place
of residence, unless the service’s HCPCS
code descriptor precludes delivering the
service in the home or place of
residence.
We are also finalizing our proposal,
without modification, to create 9 HCPCS
G-codes to report home telehealth E/M
visits furnished under the CJR waiver of
telehealth requirements as displayed in
Table 27. These codes will be payable
for CJR model beneficiaries beginning
April 1, 2016. We are also waiving the
requirement that the same payment
made for comparable office/outpatient
visits be made to eligible distant site
practitioners for services reported with
the new HCPCS G-codes that we are
creating for the CJR model to reflect that
these CJR model telehealth home visit
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services do not require significant
practice expenses. In addition, we are
finalizing our proposal, without
modification, that if a level 4 or 5 home
telehealth visit is furnished and a postdischarge home visit is not billed on the
same claim with the same date of
service or the beneficiary is not in a
period of authorized home health care,
we will require that the physician or
NPP furnishing the home telehealth
visit document the presence of auxiliary
licensed clinical staff in the home or
include an explanation in the medical
record as to the specific circumstances
precluding the need for auxiliary staff
for the specific telehealth visit. Finally,
providers and suppliers furnishing a
telehealth service to a CJR beneficiary in
his or her home or place of residence
during the episode will not be permitted
to bill for telehealth services that were
not fully furnished when an inability to
provide the intended telehealth service
is due to technical issues with
telecommunications equipment
required for that service.
Under the waiver of the geographic
site requirement and originating site
requirement for the CJR model, we are
finalizing our proposal, without
modification, that no additional
payment will be made to cover set-up
costs, technology purchases, training
and education, or other related costs.
The facility fee paid by Medicare to an
originating site for a telehealth service
will be waived if there is no facility as
an originating site (that is, the service is
originated in the beneficiary’s home).
All other requirements for Medicare
coverage and payment of telehealth
services not otherwise waived in this
final rule will continue to apply,
including the list of services approved
to be furnished by telehealth and the
eligible distant site practitioners.
Beneficiaries can receive services
furnished under the telehealth waivers
only during the CJR LEJR episode.
The final telehealth policies are set
forth at § 510.605. We have revised
§ 510.605(a) and (b) to clarify that the
telehealth waivers do not apply to the
requirements for a face-to-face
encounter for home health certification.
We have revised § 510.605(c) to specify
the two waivers of selected payment
provisions, moving the waiver of the
facility fee if the telehealth service is
provided in the beneficiary’s home from
proposed § 510.605(b)(2) to
§ 510.605(c)(1) and adding
§ 510.605(c)(2) for the waiver of the
payment requirements under section
1834(m)(2)(B) for the in-home telehealth
visit HCPCS G-codes created for the CJR
model. We have renumbered proposed
§ 510.605(c) to new (d).
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We note that we plan to monitor
patterns of utilization of telehealth
services under CJR to monitor for
overutilization or reductions in
medically necessary care, and
significant reductions in face-to-face
visits with physicians and NPPs. We
will specifically monitor the
distribution of new telehealth home
visits, as we anticipate greater use of
lower level telehealth visits than higher
level telehealth visits for CJR model
beneficiaries. Given our concern that
auxiliary clinical staff be present for
level 4 and 5 visits furnished remotely,
we will also monitor whether these
visits are billed on the same claim with
the same date of service as a postdischarge home visit or during a period
of authorized home health care, and, if
neither of the prior two conditions are
met, whether our final requirement that
the physician or NPP document the
presence of auxiliary licensed clinical
staff in the home or include an
explanation in the medical record as to
the specific circumstances precluding
the need for auxiliary staff for the
specific visit is met.
d. SNF 3-Day Rule
In the proposed rule, we discussed
our expectation that the CJR model
would encourage participant hospitals
and their provider and supplier partners
to redesign care for LEJR episodes across
the continuum of care extending to 90
days post-discharge from the anchor
hospitalization. We stated our belief that
hospitals would seek to develop and
refine the most efficient care pathways
so beneficiaries receive the lowest
intensity, clinically appropriate care at
each point in time throughout the
episode. We understand that in some
cases, particularly younger beneficiaries
undergoing total knee replacement,
certain beneficiaries receiving LEJR
procedures may be appropriately
discharged from the acute care hospital
to a SNF in less than the 3 days required
under the Medicare program for
coverage of the SNF stay. While total
knee arthroplasty (TKA) remains
payable by Medicare to the hospital
only when furnished to hospital
inpatients, we have heard from some
stakeholders that these procedures may
be safely furnished to hospital
outpatients with a hospital outpatient
department stay of only 24 hours.
Finally, we noted that the current
geometric mean hospital length of stay
for LEJR procedures for beneficiaries
without major complications or
comorbidities (MS–DRG 470) is only 3
days and that for MS–DRG 469 for
beneficiaries with such complications or
comorbidities is 6 days. Thus, in the
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proposed rule we stated our belief that
it is possible that hospitals working to
increase episode efficiency may identify
some CJR beneficiaries who could be
appropriately discharged from the
hospital to a SNF in less than 3 days,
but that early discharge would eliminate
Medicare coverage for the SNF stay
unless a waiver of Medicare
requirements were provided under CJR.
The Medicare SNF benefit is for
beneficiaries who require a short-term
intensive stay in a SNF, requiring
skilled nursing or skilled rehabilitation
care or both. In accordance with section
1861(i) of the Act, beneficiaries must
have a prior inpatient hospital stay of no
fewer than 3-consecutive days in order
to be eligible for Medicare coverage of
inpatient SNF care. We refer to this as
the SNF 3-day rule. We note that the
SNF 3-day rule has been waived or is
not a requirement for Medicare SNF
coverage under other CMS models or
programs, including BPCI Model 2.
BPCI Model 2 awardees that request and
are approved for the waiver can
discharge Model 2 beneficiaries in less
than 3 days from an anchor hospital stay
to a SNF, where services are covered
under Medicare Part A as long as all
other coverage requirements for such
services are satisfied.
Currently, FFS Medicare beneficiary
discharge patterns to a SNF immediately
following hospitalization for an LEJR
procedure vary regionally across the
country, from a low of approximately 10
percent of Medicare beneficiaries to a
high of approximately 85 percent.50
Additionally, a study of Medicare
beneficiaries has shown that over the
period of time between 1991 and 2008,
as the inpatient hospital length-of-stay
for total hip arthroplasty (THA)
decreased from an average of 9.1 days to
an average of 3.7 days, the average
percentage of primary THA patients
discharged directly to home declined
from 68 percent to 48 percent while the
proportion discharged directly to skilled
care (primarily SNFs) increased from
17.8 percent to 34.3 percent,51 reflecting
that nationally there has been increasing
SNF utilization over almost two decades
for beneficiaries following discharge
from a hospitalization for primary THA.
Similar to the proposed CJR payment
policies that we discuss in section III.C.
of this final rule, which would require
participating CJR hospitals to repay
50 ‘‘Analysis of Medicare claims with admission
dates from July 1, 2013 through June 30, 2014
accessed through the Chronic Conditions
Warehouse.’’
51 Cram P, Lu X, Kaboli PJ, et al. Clinical
Characteristics and Outcomes of Medicare Patients
Undergoing Total Hip Arthroplasty, 1991–2008.
JAMA. 2011;305(15):1560–1567.
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Medicare for excess episode spending
beginning in performance year 2,
participants in BPCI Model 2 assume
financial responsibility for episode
spending for beneficiaries included in a
Model 2 episode. Episode payment
models like BPCI and CJR have the
potential to mitigate the existing
incentives under the Medicare program
to overuse SNF benefits for
beneficiaries, as well as to furnish many
fragmented services that do not reflect
significant coordinated attention to and
management of complications following
hospital discharge. The removal of these
incentives in an episode payment model
lays the groundwork for offering
participant hospitals greater flexibility
around the parameters that determine
SNF stay coverage. BPCI participants
considering the early discharge of a
beneficiary in accordance with the
waiver during a Model 2 episode must
evaluate whether early discharge to a
SNF is clinically appropriate and SNF
services are medically necessary. Next,
they must balance that determination
and the potential benefits to the hospital
in the form of internal cost savings due
to greater financial efficiency with the
understanding that a subsequent
hospital readmission, attributable to
premature discharge or low quality SNF
care, could substantially increase
episode spending while also resulting in
poorer quality of care for the
beneficiary. Furthermore, early hospital
discharge for a beneficiary who would
otherwise not require a SNF stay (that
is, the beneficiary has no identified
skilled nursing or rehabilitation need
that cannot be provided on an
outpatient basis) following a hospital
stay of typical length does not improve
episode efficiency under an episode
payment model such as BPCI or CJR.
Because of the potential benefits we
see for participating CJR hospitals, their
provider partners, and beneficiaries, we
proposed to waive in certain instances
the SNF 3-day rule for coverage of a
SNF stay following the anchor
hospitalization under CJR beginning in
performance year 2 of the model, when
we proposed that repayment
responsibility for actual episode
spending that exceeds the target price
would begin. We proposed to use our
authority under section 1115A of the
Act with respect to certain SNFs that
furnish Medicare Part A post-hospital
extended care services to beneficiaries
included in an episode in the CJR
model. We stated our belief that this
waiver is necessary to the model test so
that participant hospitals can redesign
care throughout the episode continuum
of care extending to 90 days post-
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73455
discharge from the anchor
hospitalization in order to maximize
quality and hospital financial efficiency,
as well as reduce episode spending
under Medicare. However, we did not
propose to waive this requirement in
performance year 1, when we did not
propose that participating hospitals
would be responsible for excess actual
episode spending. In the proposed rule,
we stated our belief that there is some
potential for early hospital discharge
followed by a SNF stay to increase
actual episode spending over historical
patterns unless participant hospitals are
particularly mindful of this potential
unintended consequence. Without
participant hospital repayment
responsibility in performance year 1, we
were concerned that Medicare would be
at full risk under the model for
increased episode spending because,
without a financial incentive to closely
manage care, hospitals might be more
likely to discharge beneficiaries to SNFs
early, leading to increased episode
spending for which the hospital would
bear no responsibility. Beginning in
performance year 2 and continuing
through performance year 5, we
proposed to waive the SNF 3-day rule
because we proposed that participant
hospitals would bear responsibility
(capped at the proposed stop-loss limit
described in section III.C.8. of this final
rule) for excess episode actual spending,
thereby providing a strong incentive in
those years for participant hospitals to
redesign care with both quality and
efficiency outcomes as priorities. All
other Medicare rules for coverage and
payment of Part A-covered SNF services
would continue to apply to CJR
beneficiaries in all performance years of
the model.
In addition, because the average
length of stay for Medicare beneficiaries
hospitalized for LEJR procedures
without major complications or
comorbidities is already relatively short
at 3 days, and in view of our concerns
over protecting immediate CJR
beneficiary safety and optimizing health
outcomes, we proposed to require that
participant hospitals may only
discharge a CJR beneficiary under this
proposed waiver of the SNF 3-day rule
to a SNF with an overall rating of three
stars or better by CMS based on
information publicly available at the
time of hospital discharge. Problem
areas due to early hospital discharge
may not be discovered through model
monitoring and evaluation activities
until well after the episode has
concluded, and the potential for later
negative findings alone may not afford
sufficient beneficiary protections. CMS
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created a Five-Star Quality Rating
System for SNFs to allow SNFs to be
compared more easily and to help
identify areas of concerning SNF
performance. The Nursing Home
Compare Web site (www.medicare.gov/
NursingHomeCompare/) gives each SNF
an overall rating of between 1 and 5
stars. SNFs with 5 stars are considered
to have much above average quality, and
SNFs with one star are considered to
have quality much below average, while
SNFs with three stars are considered to
have average quality. Published SNF
ratings include distinct ratings of health
inspection, staffing, and quality
measures, with ratings for each of the
three sources combined to calculate an
overall rating. These areas of assessment
are all relevant to the quality of SNF
care following discharge from the
anchor hospitalization initiating a CJR
episode, especially if that discharge
occurs after less than three days in the
hospital. A study of the clinical factors
that kept patients in a Danish hospital
unit dedicated to discharge in three
days or fewer following total hip and
knee arthroscopy procedures found that
that pain, dizziness, and general
weakness were the main clinical reasons
for longer hospitalization, as well as
problems with personal care and
walking 70 meters with crutches.52
Medicare beneficiaries discharged from
the hospital to a SNF in less than three
days may be at higher risk of these
uncomfortable symptoms and disabling
functional problems not being fully
resolved at hospital discharge, although
we expected that under the CJR episode
payment model participant hospitals
would have a strong interest in ensuring
appropriate discharge timing so that
hospital readmissions and
complications would be minimized.
Therefore, because of the potential
greater risks following early inpatient
hospital discharge, in the proposed rule
we stated our belief that it would be
appropriate for all CJR beneficiaries
discharged from the participant hospital
to a SNF in less than 3 days be admitted
to a SNF that has demonstrated that it
is capable of providing quality care to
patients with significant unresolved
post-surgical symptoms and problems.
We believed such a SNF would need to
provide care of at least average overall
quality, which would be restated by an
overall rating of three-stars or better.
We proposed that the waiver be
available for the CJR beneficiary’s care.
The SNF would insert a Treatment
52 Husted H, Lunn TH, Troelsen A, Gaarm-Larsen
L, Kristensen BB, Kehlet H. Why still in hospital
after fast-track hip and knee arthroplasty? Acta
Orthopaedica. 2011; 82(6)679–684.
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Authorization Code on the claim for a
beneficiary in the model where the SNF
seeks to the use the waiver. This process
would promote coordination between
the SNF and the participant hospital, as
the SNF would need to be in close
communication with the participant
hospital to ensure that the beneficiary is
in the model at the time the waiver is
used. We proposed that where the
beneficiary would be eligible for
inclusion in a CJR episode of care at the
time of hospital discharge, use of the
waiver would be permitted where it is
medically necessary and appropriate to
discharge the beneficiary to a SNF prior
to a 3-day inpatient stay.
Beneficiaries would be eligible to
receive services furnished under the 3day rule waiver only during the CJR
episode. In the proposed rule, we
described our plan to monitor patterns
of SNF utilization under CJR,
particularly with respect to hospital
discharge in less than 3 days to a SNF,
to ensure that beneficiaries are not being
discharged prematurely to SNFs and
that they are able to exercise their
freedom of choice without patient
steering. We sought comment on our
proposal to waive the SNF 3-day stay
rule for stays in SNFs rated overall as
three stars or better following discharge
from the anchor hospitalization in CJR
episodes.
The following is a summary of the
comments received and our responses.
Comment: Most commenters
expressed strong support for CMS’s
proposal to waive the SNF 3-day rule to
allow CJR model beneficiaries to be
discharged to a SNF after less than a 3day inpatient hospital stay where such
a discharge is clinically appropriate and
medical necessary. These commenters
stated that this flexibility would be very
important to participant hospitals
developing partnerships with PAC
providers to redesign care for LEJR
episodes for CJR model beneficiaries.
The commenters agreed with CMS that
participant hospitals would be
incentivized to use this waiver
judiciously because they will be actively
managing care with their eye on the
approach of downside risk. A
commenter estimated that
approximately 20 percent of elective
joint replacement patients would need
to be discharged to a SNF and would be
able to do so safely after fewer than 3
inpatient hospital days. A small number
of commenters opposed the waiver
altogether because of concerns that,
without sufficient protections to ensure
beneficiaries’ readiness for early
hospital discharge, bundled payment
could encourage premature hospital
discharge so hospitals could reduce
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their internal costs for the anchor
hospitalization.
Given the importance of this waiver to
care redesign for LEJR episodes, many
commenters recommended that CMS
implement the waiver in the first
performance year of the model, even
though CMS proposed that hospitals
would have no repayment responsibility
in that year. The commenters asserted
that participant hospitals would be
focused in the first year of the model on
creating and implementing episode care
processes and procedures in order to
achieve successful quality and episode
spending performance. These activities
would include establishing or reviewing
discharge planning protocols and
clinical pathways. The commenters
stated that if the waiver were
unavailable until performance year 2,
hospitals would have to undertake
many of these activities again in the
second performance year, creating
inefficiency and unnecessary
administrative burden.
Response: Commenters supported our
proposal of the SNF 3-day rule waiver
to allow CJR model beneficiaries to be
discharged to a SNF with an overall
rating of three stars or better after less
than a 3-day inpatient hospital stay. As
we discussed in the proposed rule, an
episode payment model like CJR has the
potential to mitigate the existing
incentives under the Medicare program
to overuse SNF benefits for
beneficiaries, as well as to furnish many
fragmented services that do not reflect
significant coordinated attention to and
management of complications following
hospital discharge. The reduction of
these incentives in an episode payment
model lays the groundwork for offering
participant hospitals greater flexibility
around the parameters that determine
SNF stay coverage. We understand from
many current BPCI Model 2 participants
engaged in LEJR episodes that this
waiver plays an important role in their
care redesign efforts to streamline and
improve the quality of care, as they
work closely with their SNF partners.
While we appreciate the concerns of
those commenters identifying the need
for sufficient protections for
beneficiaries, we believe that our
proposal to limit use of the SNF 3-day
stay rule waiver to discharges of
beneficiaries to SNFs with an overall
rating of three stars or better, as
discussed later in this section, provides
sufficient protection against premature
hospital discharge, especially in the
context of the financial and quality
incentives under the model itself.
Regarding the commenters’ request to
make the SNF 3-day stay rule waiver
available to participant hospitals in the
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first year of the model, we remain
concerned that without participant
hospital repayment responsibility in
performance year 1, hospitals may be
more likely to discharge beneficiaries to
SNFs early leading to increased episode
spending for which the hospital would
bear no responsibility. Given that we are
delaying the start date of the model to
April 1, 2016 as discussed in section
III.C.2. of this final rule, we believe
hospitals will be engaged in care
redesign through most of the 9 months
of the shortened performance year 1
and, knowing the waiver will be
available in performance year 2, can
plan care processes with the appropriate
use of the waiver in mind so no
duplication of hospital effort will be
necessary. Most commenters requesting
a delayed start date for the model
provided extensive information about
the necessary and lengthy preparatory
activities required for success under the
CJR model, such as obtaining and
analyzing CMS data to identify areas for
performance improvement, establishing
systems to track patients across the
continuum of care, and forming the
necessary financial arrangements. Many
commenters estimated that this work
would take 6 to 12 months or more.
These commenters suggested that under
our proposed start date of January 1,
2016, the participant hospitals moving
into performance year 2 would likely
have been able to complete only limited
work toward restructuring care. Thus,
based on our final timeline for the
model performance years, the lack of
hospital repayment responsibility in
performance year 1, and our
understanding of the work that will
need to be done by participant hospitals
to redesign care over the first
performance year, we do not believe it
is necessary or appropriate to make the
SNF 3-day stay rule waiver available in
performance year 1 in order to test the
CJR model.
Comment: Many commenters
requested that CMS make the SNF 3-day
stay rule available for all medically
appropriate CJR beneficiary discharges
in less than 3 days from the anchor
hospitalization, regardless of the star
rating of the admitting SNF. The
commenters asserted that such a
limitation on the SNFs where a
beneficiary could be discharged would
limit beneficiary freedom of choice,
despite CMS’s assertions elsewhere in
the rule that beneficiaries would retain
freedom of choice about all providers
and suppliers. Several commenters
questioned what would happen if a
beneficiary chose a SNF rated two stars
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or lower and was discharged in less
than 3 days.
The commenters opposing the
proposal to allow the waiver to be used
only for CJR model beneficiaries’
discharges to SNFs with an overall
rating of three stars or better
recommended that this proposal would
create two tiers of separate and unequal
care because the percentage of SNFs that
meet this requirement in the selected
MSAs was so variable. The commenters
asserted that participant hospitals
located in those MSAs with an adequate
supply of three star or greater SNFs,
such as where half or more of the SNFs
meet the quality requirement, would be
able to establish flexible, patientcentered care pathways, where
participant hospitals located in those
MSAs with an inadequate supply of
three star or better SNFs, such as where
less than half of the SNFs meet the
quality requirement, would need to
create more restrictive care pathways
driven by CMS’s SNF overall star rating
requirements. Some commenters
estimated that the variation in the
percentage of qualifying SNFs in the
selected MSAs was 20 percent to 80
percent, and recommended that this
variation created an unlevel playing
field for hospitals required to participate
in the CJR model.
A number of commenters
acknowledged the quality rationale for
CMS’s proposal but stated arguments
about why the SNF overall star rating
was not appropriate for use as the
quality requirement for waiver use.
These commenters asserted that the
overall star rating provides little
information about the quality of care for
short stay residents, the category that
CJR model beneficiaries would fall into,
because few of the assessment questions
would apply to them. Some commenters
pointed out that the current star rating
does not incorporate important
measures of quality of care for LEJR
episode beneficiaries, such as function,
the ability to ambulate, hospital
readmissions, and emergency
department utilization. Other
commenters believe that periodic
recalibration activities by CMS that alter
SNF scores could lead high quality
SNFs working in close partnership with
CJR participant hospitals to suddenly
become ineligible to treat model
beneficiaries under the waiver. These
commenters described significant
month-to-month fluctuations in SNF
overall star ratings for individual SNFs
that could be highly disruptive to stable
care redesign under the CJR model.
Several commenters suggested that
SNFs with embedded specialty
expertise, such as behavioral health,
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might be unable to admit CJR model
beneficiaries who required that
specialized SNF expertise.
Some commenters recommended that
CMS provide accommodation for those
MSAs with low percentages of
qualifying SNFs, but did not specify the
parameters that should accompany such
accommodation. Other commenters
recommended that CMS deem all
hospital-owned SNFs eligible for the
waiver, regardless of their star rating, or
beneficiaries may need to leave their
home geographic area. A commenter
pointed out that swing beds in CAHs
that may function as PAC providers do
not have star ratings and, under CMS’s
proposal, would therefore be ineligible
for payment under the SNF 3-day rule
waiver for CJR model beneficiaries. The
commenter suggested that CMS waive
the proposed three star or better
requirement when the PAC provider is
a CAH swing bed, because these PAC
providers can be an excellent choice for
rural beneficiaries following an LEJR
procedure due to the available resources
in the CAH and the proximity of the
facility to beneficiary’s home.
A number of commenters
recommended that CMS modify its
proposal to base SNF eligibility on the
overall star rating to instead base SNF
eligibility on a rating of three stars or
better on two of the three criteria used
in the overall rating, specifically quality
measures and staffing. These
commenters recommended that these
two criteria are meaningful for LEJR
episode patients, while including the
state survey criterion (the third criterion
in the overall star rating) would lead to
large facilities being disadvantaged
because state surveyors would be more
likely to find deficiencies based on
larger numbers of residents. The
commenters asserted that different
states and different surveyors could lead
to unpredictable results on the health
inspections criterion for various SNFs
that would unfairly affect the overall
star rating and, therefore, the ability of
SNFs to accept CJR model beneficiaries
under the waiver. However, several
other commenters pointed out that two
of the three criteria used in the SNF
overall star rating are self-reported by
SNFs without verification, observing
that only the annual inspection is
derived from assessment by an
independent observer.
Several commenters observed that the
BPCI SNF quality requirement for use of
the waiver is less stringent. BPCI Model
2 Awardees are approved to use the
waiver for all of the Awardee’s BPCI
Model 2 beneficiaries based on their
submission of partner SNFs each
quarter, where the majority of those
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SNFs had a three star or better overall
rating for 7 of the 12 months based on
the most recent SNF star data. Once
approved, however, there is no
requirement that a BPCI beneficiary
discharged under the waiver actually go
to one of the SNFs on the partner list,
thereby ensuring beneficiary freedom of
choice. The commenters recommended
that CMS adopt a similar policy for the
CJR model if CMS believes quality
criteria must be applied.
Response: Commenters expressed
concern about our proposal to limit the
use of the waiver for CJR model
beneficiaries to SNFs with an overall
star rating of three stars or better. We
reiterate that this proposal applies only
to circumstances where the beneficiary
is medically appropriate for discharge
and requires a SNF stay after less than
a 3-day inpatient hospital stay.
Medicare will continue to cover SNF
stays for CJR model beneficiaries who
require SNF care and remain in the
hospital 3 days or longer under all
existing rules for Medicare coverage and
payment of Part A-covered SNF
services, and these rules do not include
a star rating requirement. In this way,
the CJR model waiver of the SNF 3-day
stay rule is an extension of existing
coverage for a Part A-covered SNF stay,
and is not a limit on it.
As we stated in the proposed rule, we
continue to believe that because of the
potential risk of premature hospital
discharge before a beneficiary is
medically stable and of care stinting that
may result from the financial incentives
under the CJR model to reduce actual
episode spending and generate hospital
internal cost savings, we need to ensure
that when a CJR beneficiary is
discharged to a SNF before having
stayed in the hospital for a qualifying 3day or longer stay, discharges are to
SNFs that provide care of at least
average overall quality. Balancing
beneficiary protection with the potential
for participant hospitals to create
patient-centered care pathways that
improve quality and episode efficiency,
we believe it is most appropriate for all
CJR beneficiaries discharged from the
participant hospital to a SNF in less
than 3 days be admitted to a SNF that
has demonstrated that it is capable of
providing quality care to patients with
significant unresolved post-surgical
symptoms and problems. Thus, we
believe that establishing a quality
performance requirement for SNFs
accepting each CJR beneficiary under
the waiver is important, especially given
the geographic distribution and variety
of hospitals included in the CJR model,
as well as the estimate from a
commenter of the significant number of
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model beneficiaries (20 percent of
elective THA and TKA model
beneficiaries) that could be eligible for
early hospital discharge to a SNF.
We do not believe that adopting the
BPCI Model 2 SNF 3-day stay waiver
policy in totality is appropriate. Under
BPCI Model 2, so long as the participant
identifies sufficient partnerships with
SNFs with an overall rating of three
stars or better, then the 3-day stay
requirement is waived for that
participant’s discharges of BPCI model
beneficiaries, even if beneficiaries are
admitted to SNFs with an overall star
rating of fewer than three stars. In other
words, the 3-day stay rule waiver
applies at the level of the financially
responsible entity. Moreover, BPCI is a
voluntary model where participants sign
participation agreements with CMS after
having assessed the opportunities under
the model and chosen to participate,
and can select among 48 different
clinical episodes. These design features
of BPCI reduce the potential risks of
decreased access to care and care
stinting. In contrast, under the CJR
model which requires participation of
substantially all IPPS hospitals in the
selected MSAs, where the participant
hospitals have varying levels of
readiness to develop the care pathways
and partnerships necessary for high
quality and cost performance under an
episode payment model, we believe it is
necessary and appropriate to apply the
waiver at the SNF level. That is, we
believe that in the CJR model, it is
necessary to ensure that every CJR
beneficiary discharged to a covered SNF
stay after less than a 3-day anchor
hospitalization is discharged to a SNF
that provides care of at least average
quality.
In terms of establishing the quality
requirement for SNFs accepting CJR
model beneficiaries under the waiver,
while we appreciate the variation in
qualifying SNFs under our proposal
across the participating MSAs, we need
to balance the goal of improved
efficiency under an episode payment
model through additional access to a
covered SNF stay after an anchor
hospitalization of less than 3 days with
protecting beneficiaries from the risks of
care stinting and premature discharge
from the hospital that may result from
the financial incentives of episode
payment. We estimate that although the
national average percentage of SNFs
rated three stars or better is greater than
60 percent, the percentage of qualifying
SNFs in the MSAs selected for this
model range from 22 percent to over 80
percent. However, we note that every
MSA does have at least one SNF that
would qualify for the waiver under our
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proposal and, therefore, all CJR model
beneficiaries would have access to at
least one SNF in the MSA of the
participant hospital that meets the SNF
overall star rating requirement for the
waiver.
We believe it is appropriate to restrict
access to the waiver for beneficiaries
who are eligible for discharge to a
medically necessary SNF stay after less
than a 3-day anchor hospitalization to
discharge to a SNF with an overall star
rating of three stars or better in order to
ensure SNF quality and, therefore,
protect the beneficiary from potential
harm that could arise from the financial
incentives of the CJR episode payment
model. We believe we need to balance
the importance of beneficiary access to
the waiver with our concerns about
sufficient beneficiary protections under
this innovative episode payment model
that otherwise alters the rules under
which Medicare pays hospitals and
allows different financial arrangements
among providers and suppliers. Problem
areas due to early hospital discharge
may not be discovered through model
monitoring and evaluation activities
until well after the episode has
concluded, and we do not believe the
potential for later negative findings
alone provides sufficient beneficiary
protections. Thus, we believe it is
appropriate to establish a quality
requirement for SNFs accepting patients
for Part A-covered stays under the
waiver, and believe that participant
hospitals will need to convey all
relevant information to CJR model
beneficiaries who require SNF stays and
are candidates for discharge from the
anchor hospitalization in less than 3
days. If a CJR beneficiary is discharged
to a SNF with an overall rating of two
stars or less without a preceding 3-day
anchor inpatient hospital stay, the SNF
stay will not be covered under Medicare
Part A, consistent with existing
Medicare rules. However, we note that
imposing conditions upon a waiver that,
in effect, provides for additional
coverage of certain SNF stays is not the
same as restricting access to certain
SNFs. We are not restricting beneficiary
choice of SNFs. We believe it is
important for beneficiaries to have
unrestricted choice of providers under
this model as well as access to SNFs
with appropriate specialty expertise or
located in their immediate community.
We refer readers to section III.F.2. of this
final rule for further discussion of the
beneficiary choice and notification
issues under this model, including their
applicability to model beneficiaries who
may be discharged in less than 3 days
to a SNF.
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Finally, for the reasons previously
discussed regarding our need to balance
access to the waiver with beneficiary
protections, we are not making any
exceptions to the overall star rating
requirement for PAC providers without
a star rating or hospital-owned SNFs.
We note that all existing Medicare
program rules will continue to apply to
these providers regarding Part
A-covered SNF stays, and CJR model
beneficiaries will continue to be able to
be discharged to these PAC providers
for a Medicare-covered stay as long as
the preceding inpatient hospital stay
extends at least 3 days.
We appreciate the suggestions of
commenters regarding alternatives to
using the SNF overall star rating to
determine the eligibility of a SNF to be
paid for CJR model beneficiaries under
the waiver based on the quality of SNF
care. However, we continue to believe
that SNF overall star ratings reflect
important differences in quality among
SNFs that are applicable to care for CJR
model beneficiaries recovering after
LEJR surgery. CMS rates nursing homes
on three categories: Results from onsite
inspections by trained surveyors,
performance on certain quality
measures, and levels of staffing. We use
these three categories to create an
overall star rating, which balances
facility-reported information with
independent observation. While
consumers can see and focus on any of
the three individual categories, we
believe for purposes of this model that
the overall star rating that incorporates
all three categories of SNF quality
performance in an overall rating is the
most appropriate choice to determine
SNF eligibility for use of the waiver
under the CJR model, based on the
SNF’s record of average or better care as
reflected in the most comprehensive
SNF quality rating that takes into
account all categories of information
about SNF quality.
We acknowledge the disruption to
partnerships among hospital
participants and SNFs that may occur
due to the potential for month-to-month
changes in a SNF’s quality rating and
periodic CMS recalibration. We
understand the substantial effort
necessary for provider collaboration in
care redesign and do not want the SNF
3-day stay waiver policies of the CJR
model to unnecessarily disrupt or
hamper these partnerships. We
proposed to require that participant
hospitals may only discharge a CJR
beneficiary under the proposed waiver
of the SNF 3-day rule to a qualified SNF
with an overall rating of three stars or
better by CMS based on information
publicly available at the time of hospital
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discharge. However, in order to create
more stability in our determination of
SNF eligibility based on a pattern of
quality performance, and in response to
comments, we are modifying our
proposal. Under our final policy, we
will determine a SNF’s qualification for
payment under the CJR model waiver
based on an overall star rating of three
stars or better for at least 7 of the 12
preceding months according to the most
recent star rating data available for the
quarter in which the CJR beneficiary’s
admission to the SNF occurs.
Specifically, we will prepare and make
publicly available a list of qualified
SNFs for each calendar quarter of the
CJR model performance years, based on
our examination of the most recent
rolling 12-month period of SNF overall
star ratings, and the waiver will apply
for admissions to SNFs on our list
during the relevant calendar quarter,
assuming all other requirements for the
waiver are met as discussed in this final
rule. The use of such a list to determine
qualified SNFs who are eligible for
payment under the waiver will facilitate
the ease of administration of the policy
through CMS’s shared systems, as well
as ensure a common understanding
among participant hospitals, SNFs, CJR
model beneficiaries and other providers
and suppliers about the specific SNFs
who are qualified for Medicare Part A
payment under the waiver at any given
time in the model performance period.
While we will be using the pattern of
SNF quality performance reflected over
a rolling 12-month period to qualify
SNFs for the 3-day stay waiver under
the CJR model, similar to our
examination of 12 months of SNF
overall star ratings for BPCI partner
SNFs, in contrast to BPCI Model 2, the
CJR model waiver will only permit a
Part A-covered SNF stay if the CJR
beneficiary receives care at a qualified
SNF, defined as a SNF that meets our
quality requirements as determined by
its inclusion on the applicable quarterly
list of qualified SNFs at the time of the
CJR beneficiary’s admission to that SNF.
In this regard, our standard under the
CJR model is more stringent than under
BPCI Model 2, in order to provide
additional beneficiary protections under
this model that includes substantially
all IPPS hospitals in 67 MSAs, rather
than Awardees participating in a
voluntary model such as BPCI. As
discussed earlier in this section, we
believe that stronger beneficiary
protections under the CJR model are
necessary due to the required, rather
than voluntary, hospital participation in
the model, which will include hospitals
at varying stages of readiness for
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engagement in the care redesign and
partnerships necessary for high quality
and cost performance under episode
payment.
We expect that the most recent SNF
quality data will lag the admission to
the SNF under the CJR by several
months, at a minimum. As under BPCI
Model 2, we will update our
determination of SNFs that qualify for
the CJR model waiver every quarter, to
ensure that we regularly incorporate
updated SNF star ratings reflective of
the most recent SNF quality
performance into our determinations of
SNF eligibility to admit CJR model
beneficiaries under the waiver. To
minimize any confusion about SNF
qualification for participant hospitals
and SNFs, we will post to the CMS Web
site prior to the beginning of each
quarter the list of qualified SNFs who
may use the waiver for admissions of
CJR model beneficiaries with less than
a 3-day anchor hospitalization. We
believe the use of a rolling 12-month
period to assess SNF qualification based
on the pattern of overall star ratings
appropriately balances our interest in
ensuring SNF quality for a beneficiary
during a timeframe that is reasonably
close to the CJR beneficiary’s admission
to the SNF, with our interest in
encouraging stable, effective
arrangements between SNFs that furnish
high quality care and participant
hospitals in the CJR model.
Comment: Several commenters
requested clarification about whether
the waiver of the SNF 3-day stay rule
would only apply to those CJR model
beneficiaries discharged in less than 3
days directly from the anchor
hospitalization to a SNF or whether a
beneficiary who was discharged to
home in less than 3 days but later in the
episode developed complications could
be admitted to a SNF under the waiver.
Response: We note that the waiver
under this model would make Part A
post-hospital extended stay coverage
available, in the context of all other
current Medicare rules for coverage and
payment of Part A-covered SNF
services, to CJR model beneficiaries who
are discharged in less than 3 days from
the anchor hospitalization. Thus, in
regard to the scenario stated by the
commenters, if a CJR beneficiary is
discharged to home after less than a 3day inpatient hospital stay and requires
SNF services within the first 30 days
after discharge from the anchor
hospitalization, the CJR beneficiary
could be admitted to a SNF for a Part
A-covered stay, assuming all other
requirements for coverage and payment
of Part-A covered SNF services are met
and the SNF meets the quality
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requirements for use of the waiver by its
inclusion on the list of qualified SNFs
for the calendar quarter in which the
SNF admission occurs.
Comment: Several commenters posed
a variety of operational questions to
CMS about how the proposed waiver
would be implemented, such as from
whom would a SNF get a treatment
authorization code and how could the
waiver be used because at the time of
SNF billing services could already have
been rendered.
Response: Commenters expressed
interest in a better understanding of the
operational plans for implementing the
SNF 3-day stay rule waiver. We note
that since the waiver will not be
available until performance year 2, CMS
will publicly release various provider
education materials, such as MLN
Matters articles, prior to performance
year 2 to educate providers regarding
the use of the treatment authorization
code and other billing instructions. For
an example of a MLN Matters article
intended for SNFs submitting claims to
MACs for BPCI Model 2 beneficiaries
that conveys information regarding the
waiver use in that model, we refer
readers to the CMS Web site at:
https://www.cms.gov/Outreach-andEducation/Medicare-Learning-NetworkMLN/MLNMattersArticles/downloads/
MM8792.pdf. We note that this is an
example only, and providers caring for
CJR model beneficiaries should await
information specific to the CJR model
before making changes to their systems.
We expect that SNFs using this
waiver to bill for a Part A-covered SNF
stay for a CJR beneficiary discharged
from a participant hospital after an
inpatient stay of less than 3-days will
need to work closely with the
participant hospital to determine the
applicability of the waiver prior to
admitting the beneficiary to the SNF
because billing will not occur until after
the SNF services are rendered.
Specifically all of the following
requirements will need to be met for the
stay to be covered under the waiver:
• The hospitalization does not meet
the prerequisite hospital stay of at least
3 consecutive days for Part A coverage
of ‘‘extended care’’ services in a SNF. If
the hospital stay would lead to covered
PAC SNF treatment in the absence of
the waiver, then the waiver is not
necessary for the stay.
• The discharge is from a participant
hospital in the CJR model. Participant
hospitals can be confirmed by a posted
file on the CMS Web site.
• The beneficiary’s discharge is from
MS–DRG 469 or MS–DRG 470.
• The beneficiary must have been
discharged from the CJR model
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participant hospital for one of the two
specified MS–DRGs within 30 days
prior to the initiation of SNF services.
• The beneficiary meets the criteria
for inclusion in the CJR model at the
time of SNF admission: That is, he or
she is enrolled in Part A and Part B,
eligibility is not on the basis of ESRD,
is not enrolled in any managed care
plan, is not covered under a United
Mine Workers of American health plan,
and Medicare is the primary payer.
• The SNF is qualified to admit CJR
model beneficiaries under the waiver on
the date of SNF admission based on its
overall star rating, which can be
confirmed for the applicable date of
SNF admission by a posted file on the
CMS Web site that identifies qualified
SNFs based on their overall star rating
of three stars or better for at least 7 of
the preceding 12 months. The file will
be updated quarterly, reflecting a rolling
12-month period of SNF overall star
ratings.
We will provide additional
information on the use of this waiver to
providers through MLN Matters articles
and other methods prior to the
beginning of performance year 2.
Medicare will not cover and pay under
Part A for SNF services under the CJR
model SNF 3-day stay rule waiver
unless all of the previously stated
criteria are met. SNFs who report the
treatment authorization code under
circumstances where one or more of
these criterion are not met will not be
paid by Medicare under the waiver.
Final Decision: After consideration of
the public comments we received, we
are finalizing the proposal to waive the
SNF 3-day rule for episodes being tested
in the CJR model in performance years
2 through 5, with modification of the
SNF quality requirements. We will
waive the SNF 3-day rule for a CJR
beneficiary following the anchor
hospitalization only if the SNF is
qualified at the time of the CJR
beneficiary’s SNF admission. We define
a qualified SNF as one that has an
overall rating of three stars or better in
the Five-Star Quality Rating System for
SNFs on the Nursing Home Compare
Web site for at least 7 of the 12
preceding months, as determined by
CMS based on the most recent rolling 12
months of SNF star rating data available
for the calendar quarter that includes
the date of the beneficiary’s admission
to the SNF. We will post the list of
qualified SNFs quarterly to the CMS
Web site. If a SNF is on this list, the
other requirements for the waiver as
listed previously are met, and other
existing Medicare coverage
requirements are met, the SNF stay for
the CJR beneficiary will be covered
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under Part A under the CJR model SNF
3-day rule waiver.
Beneficiaries will be able to receive a
Part A-covered SNF stay furnished in
accordance with the SNF 3-day stay rule
waiver only during the CJR episode. All
other Medicare rules for coverage and
payment of Part A-covered SNF services
continue to apply.
The final SNF 3-day stay rule policies
are set forth at § 510.610, where
§ 510.610(a) has been revised to clarify
that the waiver applies to SNFs on the
calendar quarter list of qualified SNFs
and subparagraphs (1) and (2) added to
reflect CMS’s quarterly determination of
qualified SNFs based on their overall
rating of three stars or better for at least
7 of the 12 months of rolling data and
subsequent posting to the CMS Web site
of the list of qualified SNFs for the
calendar quarter.
e. Waivers of Medicare Program Rules
To Allow Reconciliation Payment or
Repayment Actions Resulting From the
Net Payment Reconciliation Amount
(NPRA)
In order to make reconciliation
payment to or carry out repayment from
a participant hospital that results from
the NPRA calculation for each
performance year as discussed in
section III.C.6.a. of this final rule, in the
proposed rule we stated our belief that
we would need to waive certain
Medicare program rules. Therefore, in
accordance with the authority granted to
the Secretary in section 1115A(d)(1) of
the Act, we proposed to waive
requirements of the Act for all Medicare
Part A and Part B payment systems only
to the extent necessary to make
reconciliation payments or receive
repayments based on the NPRA that
reflect the episode payment
methodology under the proposed
payment model for CJR participant
hospitals selected in accordance with
CMS’s proposed selection methodology.
In addition, we did not propose that
reconciliation payments or repayments
change beneficiary cost-sharing from the
regular Medicare program cost-sharing
for the related Part A and Part B services
that were paid for CJR beneficiaries and
aggregated to determine actual episode
spending in the calculation of the
NPRA. We therefore proposed to waive
the requirements of sections 1813 and
1833(a) of the Act to the extent that they
would otherwise apply to reconciliation
payments or repayments from a
participant hospital under the CJR
model. We sought comment on our
proposed waivers related to repayment
and repayment actions as a result of the
NRPA calculated.
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Final Decision: We received no public
comments on the proposed waivers of
the requirements of sections 1813 and
1833(a) of the Act to the extent that they
would otherwise apply to reconciliation
payments or repayments from a
participant hospital under the CJR
model. Therefore, we are finalizing our
proposal, without modification, to
waive requirements of the Act for all
Medicare Part A and Part B payment
systems only to the extent necessary to
make reconciliation payments or receive
repayments based on the NPRA that
reflect the episode payment
methodology under the final payment
model for CJR participant hospitals
selected in accordance with CMS’s final
selection methodology. Reconciliation
payments or repayments will not change
beneficiary cost-sharing from the regular
Medicare program cost-sharing for the
related Part A and Part B services that
were paid for CJR beneficiaries and
aggregated to determine actual episode
spending in the calculation of the
NPRA.
This waiver is set forth at new
§ 510.620.
12. Enforcement Mechanisms
CMS must have certain mechanisms
to enforce compliance with the
requirements of the model, either by the
participant hospital, or by an entity or
individual included in the CJR model by
furnishing a service to a beneficiary
during a CJR episode. The following
discussion details the enforcement
mechanisms we proposed to make
available to CMS for the CJR model.
We proposed an enforcement
structure that would be consistent with
other CMMI models. We believed that
Model 2 of the BPCI initiative is an
appropriate model for comparison,
given that Model 2 and CJR share many
of the same policy characteristics,
particularly with respect to episode
definition. For example, the
participation agreement between CMS
and a participant (called an Awardee) in
BPCI Model 2 provides that CMS may
immediately or with advance notice
terminate the awardee’s participation in
the model or require the Awardee to
terminate its agreement (‘‘participant
agreement’’) with a participating
provider or supplier that is not in
compliance with BPCI requirements. In
such circumstances, CMS may direct the
Awardee to terminate its participant
agreement with a participating provider
or supplier because the Awardee has a
participation agreement with CMS,
whereas the participating provider or
supplier does not. CMS may require
termination of the Awardee or a
participating provider or supplier if—
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• CMS determines that it no longer
has the funds to support the BPCI
model;
• CMS terminates the model pursuant
to section 1115A(b)(3)(B) of the Act; or
• The BPCI awardee or an individual
or entity participating in BPCI under the
awardee does any of the following:
++ Takes any action that threatens
the health or safety of patients; avoids
at-risk Medicare beneficiaries, as this
term is defined in § 425.20; or avoids
patients on the basis of payer status.
++ Is subject to sanctions or final
actions of an accrediting organization or
federal, state or local government
agency that could lead to the inability
to comply with the requirements and
provisions of the BPCI agreement.
++ Takes or fails to take any action
that CMS determines for program
integrity reasons is not in the best
interests of the BPCI initiative.
++ Is subject to action by HHS
(including OIG and CMS) or the
Department of Justice to redress an
allegation of fraud or significant
misconduct, including intervening in a
False Claims Act qui tam matter, issuing
a pre-demand or demand letter under a
civil sanction authority, or similar
actions.
Under the terms of the BPCI
agreement, upon CMS’s termination of
the agreement for any of the reasons
previously listed in this section, CMS
may immediately cease the distribution
of positive reconciliation payments to
the awardee and the awardee must
immediately cease the distribution of
any gainsharing payments.
Many CMMI models also allow for
CMS to impose remedial actions to
address noncompliance by either a
participant that has a direct relationship
(participation agreement) with CMS, or
by any individual or entity participating
in the CMMI model pursuant to an
agreement with the participant hospital.
For example, with respect to the BPCI
Model 2, where CMS determines that
there may be noncompliance, CMS may
take any or all of the following actions:
• Notify the BPCI awardee of the
specific performance problem.
• Require the awardee to provide
additional data to CMS or its designees.
• Require the awardee to stop
distributing funds to a particular
individual or entity.
• Require the awardee to forgo the
receipt of any positive reconciliation
payments from CMS.
• Request a corrective action plan
from the awardee.
++ If CMS requests a corrective
action plan, then the following
requirements apply to awardees in the
BPCI initiative:
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—The awardee must submit a corrective
action plan for CMS approval by the
deadline established by CMS.
—The corrective action plan must
address what actions the awardee will
take within a specified time period to
ensure that all deficiencies are
corrected and that it remains in
compliance with the BPCI agreement.
Under the CJR model, we proposed
that CMS would have the enforcement
mechanisms detailed in this section
available for use against participant
hospitals and any entity or individual
furnishing a service to a beneficiary
during a CJR episode, where the
participant hospital or such entity or
individual: (1) Does not comply with
the CJR model requirements; or (2) is
identified as noncompliant via CMS’
monitoring of the model or engage in
behavior related to any of the reasons
previously described that apply to the
BPCI initiative. These mechanisms will
support the goals of CJR to maintain or
improve quality of care. Given that
participant hospitals may receive
reconciliation payments, and choose to
distribute or share those payments with
other providers or suppliers (‘‘CJR
collaborators’’) we believed that
enhanced scrutiny and monitoring of
participant hospitals and CJR
collaborators under the model is
necessary and appropriate. Participant
hospitals and CJR collaborators will also
be subject to all existing requirements
and conditions for Medicare
participation not otherwise waived
under section 1115A(d)(1) of the Act.
We proposed that CMS would have
the option to use any one or more of the
following enforcement mechanisms for
participant hospitals in CJR. We further
proposed that these enforcement
mechanisms could be instituted and
applied in any order, as is consistent
with other CMMI models:
• Warning letter—We proposed to
give CMS the authority to issue a
warning letter to participant hospitals to
put them on notice of behavior that may
warrant additional action by CMS. This
letter would inform participant
hospitals of the issue or issues
identified by CMS leading to the
issuance of the warning letter.
• Corrective Action Plan—We
proposed to give CMS the authority to
request a corrective action plan from
participant hospitals. We proposed the
following requirements for corrective
action plans:
++ The participant hospital would be
required to submit a corrective action
plan for CMS approval by the deadline
established by CMS.
++ The corrective action plan would
be required to address what actions the
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participant hospital will take within a
specified time period to correct the
issues identified by CMS.
++ The corrective action plan could
include provisions requiring that the
participant hospital terminate
collaborator agreements with CJR
collaborators that are determined by
HHS to be engaging in activities
involving noncompliance with the
provisions of this final rule, engaged in
fraud or abuse, providing substandard
care, or experiencing other integrity
problems.
++ The participant hospital’s failure
to comply with the corrective action
plan within the specified time period
could result in additional enforcement
action, including: (1) Termination; (2)
automatic forfeiture of all or a portion
of any reconciliation payments as that
term is defined in section III.C. of the
proposed rule; (3) CMS’s discretionary
reduction or elimination of all or a
portion of the hospital’s reconciliation
payment; or (4) a combination of such
actions.
• Reduction or elimination of
reconciliation amount—We proposed to
give CMS the authority to reduce or
eliminate a participant hospital’s
reconciliation amount based on
noncompliance with the model’s
requirements, negative results found
through CMS’ monitoring activities, or
the participant hospital’s
noncompliance associated with a
corrective action plan. For example,
where CMS requires a participant
hospital to submit a corrective action
plan, the result of the participant
hospital’s failure to timely comply with
that requirement could be a 50 percent
reduction in the reconciliation amount
due to the participant hospital at the
end a performance year, where the
participant hospital’s reconciliation
report reflects a positive reconciliation
amount. We solicit comments on
whether negative monitoring results and
noncompliance with program
requirements or corrective action plans
should result in automatic forfeiture of
all or a portion of positive NPRA, the
amount that could be forfeited or
reduced, the number of performance
periods over which NPRA may be
forfeited or reduced per instance or
episode of noncompliance, whether the
amount should be a fixed percentage of
NPRA or a variable amount depending
on the nature and severity of the
noncompliance, and the criteria CMS
should use in deciding the severity of
noncompliance.
Where the participant hospital’s
reconciliation report reflects a
repayment amount, forfeiture of a
reconciliation amount would not be an
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option for that performance year. In
such a case, we considered whether
CMS would require the participant
hospital to forfeit a certain percentage of
a reconciliation amount in the
reconciliation report for a future
performance year. However, in the case
of a failure to comply with the model’s
requirements, presence of negative
results found through CMS’s monitoring
activities, or noncompliance associated
with a corrective action plan, we
believed a policy that would increase
the amount of repayment amount on the
reconciliation report for the
performance year in which the
noncompliance occurred by the
participant hospital is more likely to
result in compliance from the hospital.
Therefore, we proposed to add 25
percent to a repayment amount on a
reconciliation report, where the
participant hospital fails to timely
comply with a corrective action plan or
is noncompliant with the model’s
requirements. We sought comments on
this forfeiture policy, including the
percentage to be added to a repayment
amount on a reconciliation report; the
number of performance periods over
which a reconciliation amount may be
forfeited or reduced per instance or
episode of noncompliance; whether the
amount should be a fixed percentage of
a reconciliation amount or repayment
amount, as applicable, or a variable
amount depending on the nature and
severity of the noncompliance; and the
criteria CMS should use in deciding the
severity of noncompliance.
• Termination from the model—
Given the provisions we proposed
outlining the participation of hospitals
in the model, we believed that, in
contrast to other CMS models,
termination from the CJR model would
contradict the model’s design. As a
result, in some circumstances
termination from the model may be
unlikely to be a sufficient mechanism to
deter noncompliance by participant
hospitals. While we believed
termination is a remedy unlikely to be
frequently used by CMS in this model,
we nonetheless leave open the
possibility that in extremely serious
circumstances termination might be
appropriate, and for that reason, we
proposed to include it as an available
enforcement option. Where a participant
hospital is terminated from the CJR
model, we proposed that the hospital
would remain liable for all negative
NPRA generated from episodes of care
that occurred prior to termination. We
proposed that CMS may terminate the
participation in CJR of a participant
hospital when the participant hospital,
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or a CJR collaborator that has a
collaborator agreement with a
participant hospital and performs
functions or services related to CJR
activities, fails to comply with any of
the requirements of the CJR model. We
further proposed that CMS could
terminate the participant hospital’s
participation in the model, or require a
participant hospital to terminate a
collaborator agreement with a CJR
collaborator for reasons including, but
not limited to the following:
• CMS determines that it no longer
has the funds to support the CJR model.
• CMS terminates the model pursuant
to section 1115A(b)(3)(B) of the Act.
• The CJR participant hospital, or an
individual or entity participating in CJR
under the participant hospital does any
of the following:
++ Takes any action that threatens
the health or safety of patients; avoids
at-risk Medicare beneficiaries, as this
term is defined in § 425.20; or avoids
patients on the basis of payer status.
++ Is subject to sanctions or final
actions of an accrediting organization or
federal, state or local government
agency that could lead to the inability
to comply with the requirements and
provisions of this final rule.
++ Takes or fails to take any action
that CMS determines for program
integrity reasons is not in the best
interests of the CJR model.
++ Is subject to action by HHS
(including OIG and CMS) or the
Department of Justice to redress an
allegation of fraud or significant
misconduct, including intervening in a
False Claims Act qui tam matter, issuing
a pre-demand or demand letter under a
civil sanction authority, or similar
actions.
++ Is subject to action involving
violations of the physician self-referral
law, civil monetary penalties law,
federal anti-kickback statute, antitrust
laws, or any other applicable Medicare
laws, rules, or regulations that are
relevant to the CJR model.
• Other Enforcement Mechanisms—
We seek to incorporate policies
regarding enforcement mechanisms that
are necessary and appropriate to test the
CJR model. Thus, we sought public
comment on additional enforcement
mechanisms that would contribute to
the following goals:
++ Allow CMS to better operate or
monitor the model.
++ Appropriately engage and
encourage all entities and individuals
furnishing a service to a beneficiary
during a CJR episode to comply with the
requirements and provisions of the CJR
model.
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++ Preserve the rights of Medicare
beneficiaries to receive medically
necessary care, to not be endangered by
providers and suppliers engaging in
noncompliant activities, and to be able
to choose from whom they want to
receive care.
We sought public comment on these
proposals and invited commenters to
propose additional safeguards we
should consider in the final rule.
The following is a summary of the
comments received and our responses.
Comment: Several comments focused
on our proposal regarding termination
of participant hospitals from the model.
Most of these comments recommended
that we add requirements such as the
provision of substandard care and
patient steering to the list of
circumstances meriting termination.
Another related line of comments
suggested that a participant hospital
should be appropriately penalized if it
is found to have provided substandard
care, delayed or withheld medically
necessary care, or engaged in patient
steering.
Response: Issues associated with care
stinting, provision of substandard care,
or denial of medically necessary care are
serious matters. In no way does this
final rule permit providers and
suppliers furnishing services to
beneficiaries in a CJR episode to engage
in these sorts of behaviors. Thus, we
appreciate the comments on this matter
and the opportunity to clarify how we
have included protections for
beneficiaries by including language at
§ 510.410(b) that allows CMS to take
action against any participant hospital
that takes any action that threatens the
health or safety of patients. Providers
and suppliers furnishing services to CJR
beneficiaries must comply with
applicable Medicare CoPs and similar
requirements. Nothing in this final rule
alters the CoPs and similar requirements
for providers and suppliers that furnish
services to CJR beneficiaries. If a
participant hospital or its CJR
collaborator is found to have taken any
action that threatens the health or safety
of patients, including but not limited to
withholding or delaying medically
necessary care, providing substandard
health care, or steering beneficiaries to
certain providers or suppliers, this final
rule allows CMS to take action against
the participant hospital that is
noncompliant or has a collaborator
agreement with the noncompliant
entity. These actions include the
institution of corrective action plans,
reduction or elimination of
reconciliation payments, increased
repayment amounts, and termination
from the model. Furthermore, existing
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laws, rules, and regulations governing
these matters also continue to apply to
providers and suppliers furnishing
services to CJR beneficiaries. Where
HHS (including CMS and OIG)
discovers noncompliance with existing
laws, rules, and regulations,
participation in the CJR model would
not provide protection for participant
hospitals or CJR collaborators engaging
in actions that implicate care stinting,
provision of substandard care, denial of
medically necessary care, or any other
scheme or action that is illegal or causes
beneficiary harm.
Comment: Other commenters stated
that CMS should strengthen the
accountability of participant hospitals
by implementing a separate financial
penalty for hospitals found to have
deliberately withheld medically
necessary care or steered a patient
toward a health care provider known to
be delivering substandard care.
Commenters suggested that such a
penalty should be sizable enough to act
as a disincentive for hospitals and other
providers that might consider stinting as
potentially profitable.
Response: As we described in our
previous response, given the
enforcement mechanisms delineated in
this final rule, as well as the prevalence
of existing laws, rules, and regulations
prohibiting care stinting, provision or
substandard care, or denial of medically
necessary care, we believe that it
unnecessary to implement processes for
a separate financial penalty specifically
for this model outside of the
enforcement mechanisms we have
already proposed. Where a participant
hospital engages in these behaviors,
CMS could consider reducing or
eliminating that participant hospital’s
reconciliation payment, as well as
notifying our Federal program integrity
colleagues and, where appropriate, law
enforcement, of such behavior,
particularly in instances in which HHS
(including CMS and OIG) discovered
knowing violations or patterns of
violations of requirements that directly
impacted the safety and health of
patients.
Comment: Some commenters
suggested that CMS specify the amount
by which it would reduce a
reconciliation payment in instances of
noncompliance. By contrast, other
commenters recommended that CMS
should have the discretion to assess
penalties based on the severity of the
violation or noncompliance; the degree
of negligence, recklessness, or willful
behavior of the parties; and evidence of
patterns or practice of noncompliance or
violations by participant hospitals.
These commenters suggested that CMS
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73463
should not be locked into a set penalty
percentage, but rather should take into
account all the facts and circumstances
of each confirmed noncompliance or
violation and set a penalty that is
appropriate to address the problem and
encourage improvement by the parties.
Response: We appreciate comments
on this issue and agree with the latter
group of commenters. We intend to
exercise our authority to reduce or
eliminate a participant hospital’s
reconciliation payment based on the
severity of the noncompliance. We
believe that this is a prudent approach,
particularly given that, as some
commenters noted, these instances are
often complex and fact-specific.
However, we are finalizing our proposal
to add 25 percent to a repayment
amount on the participant hospital’s
reconciliation report in the following
circumstances: (1) CMS has required a
corrective action plan from a participant
hospital; (2) the participant hospital is
not due a positive reconciliation
payment but instead owes a repayment
amount to CMS; and (3) the participant
hospital fails to timely comply with a
corrective action plan or is
noncompliant with the model’s
requirements. This provision is added
as new § 510.410(b)(3).
We leave open the possibility for
future rulemaking on the issue of
enforcement mechanisms for this
model. We believe that providing, at a
minimum, a non-exhaustive list of the
types of behaviors against which CMS
would use each of these enforcement
mechanisms could offer useful
clarification for participant hospitals
and CJR collaborators.
Final Decision: After consideration of
the public comments we received, we
are finalizing the proposal with a
modification to apply these enforcement
mechanisms only to participant
hospitals. We also have included a nonexhaustive list of examples of behaviors
that may lead to application of these
enforcement mechanisms. These
policies are set forth in regulation at
§ 510.410.
We had proposed that CMS would
have the enforcement mechanisms
detailed in this section available for use
against participant hospitals and any
entity or individual furnishing a service
to a beneficiary during a CJR episode,
where the participant hospital or such
entity or individual: (1) Does not
comply with the CJR model
requirements; or (2) is identified as
noncompliant via CMS’ monitoring of
the model, or (3) engage in behavior
related to any of the reasons previously
described that apply to the BPCI
initiative.
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We are finalizing this proposal with a
modification to clarify that CMS will
enforce the model’s requirements
against participant hospitals. Given that
participant hospitals may receive
reconciliation payments, and choose to
distribute or share those payments with
other providers or suppliers (‘‘CJR
collaborators’’) we believe that
enhanced scrutiny and monitoring of
participant hospitals is necessary and
appropriate. We also believe that by
making the participant hospital
responsible for compliance with the CJR
model, CMS will be indirectly ensuring
CJR collaborators compliance, in
addition to any direct monitoring by
HHS (including CMS and OIG) of
providers and suppliers that are CJR
collaborators. However, because entities
and individuals that are not participant
hospitals are not actually participants in
the CJR model, we will hold the
participant hospital responsible for their
own and their CJR collaborators’
compliance with applicable model
requirements. Thus, where CMS, HHS,
or its designees discovers an instance of
noncompliance by a CJR collaborator
with the requirements of the CJR model,
CMS, HHS, or its designees may take
remedial action against the participant
hospital, which may include requiring
the participant hospital to terminate a
collaborator agreement with a CJR
collaborator and prohibit further
engagement in the CJR model by that
CJR collaborator. Participant hospitals
and CJR collaborators remain subject to
all existing requirements and conditions
for Medicare participation not otherwise
waived for this model under section
1115A(d)(1) of the Act.
We are finalizing our proposal to give
CMS the option to use any one or more
of the following enforcement
mechanisms for participant hospitals in
CJR. These enforcement mechanisms
may be instituted and applied in any
order, as is consistent with other CMS
models:
• Warning letter—We are finalizing
our proposal to give CMS the authority
to issue a warning letter to participant
hospitals to put them on notice of
behavior that may warrant additional
action by CMS. This letter will inform
participant hospitals of the issue or
issues identified by CMS leading to the
issuance of the warning letter.
• Corrective Action Plan—We are
finalizing our proposal to give CMS the
authority to request a corrective action
plan from participant hospitals. We are
finalizing our proposal the following
requirements for corrective action plans:
++ The participant hospital will be
required to submit a corrective action
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plan for CMS approval by the deadline
established by CMS.
++ The corrective action plan will
address what actions the participant
hospital must take within a specified
time period to correct the issues
identified by CMS.
++ The corrective action plan may
include provisions requiring that the
participant hospital terminate
collaborator agreements with CJR
collaborators that are determined by
CMS, HHS, or its designees to be
engaging in activities involving
noncompliance with the provisions of
this final rule, engaged in fraud or
abuse, providing substandard care, or
experiencing other integrity problems.
++ The participant hospital’s failure
to comply with the corrective action
plan within the specified time period
could result in additional enforcement
action, including: (1) Termination; (2)
automatic forfeiture of all or a portion,
at CMS’ discretion, of any reconciliation
payments as that term is defined in
section III.C. of the proposed rule; or (3)
a combination of such actions.
• Reduction or elimination of
reconciliation amount—We are
finalizing our proposal to give CMS the
authority to reduce or eliminate a
participant hospital’s reconciliation
payment based on noncompliance with
the model’s requirements, negative
results found through CMS’ monitoring
activities, or the participant hospital’s
noncompliance associated with a
corrective action plan (as noted
previously). For example, where CMS
requires a participant hospital to submit
a corrective action plan, the result of the
participant hospital’s failure to timely
comply with that requirement could be
a 50 percent reduction in the
reconciliation payment due to the
participant hospital at the end a
performance year, where the participant
hospital’s reconciliation report reflects a
reconciliation payment.
Where the participant hospital’s
reconciliation report reflects a
repayment amount, forfeiture of a
reconciliation payment would not be an
option for that performance year.
Therefore, we are finalizing our
proposal to add 25 percent to a
repayment amount on a reconciliation
report, where the participant hospital
fails to timely comply with a corrective
action plan or is otherwise
noncompliant with the model’s
requirements. This provision includes
noncompliance by CJR collaborators
with the model’s requirements.
• Termination from the model—
Given this model’s provisions outlining
the participation of hospitals in the
model, we believe that, in contrast to
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other CMS models, termination from the
CJR model would contradict the model’s
design. Nonetheless, we believe it is
important for CMS to have this
enforcement mechanism as an available
option, and thus we are finalizing our
proposal that CMS may terminate a
participant hospital from the CJR model
if the participant hospital, or its CJR
collaborator that has a collaborator
agreement with a participant hospital
and performs functions or services
related to CJR activities, fails to comply
with any of the requirements of the CJR
model or is noncompliant in other
respects, which are discussed in detail
later in this section. These areas of
noncompliance are set forth in
regulation at § 510.410(b)(1).
The effect of termination from the
model is that the hospital would no
longer be a participant hospital in the
CJR model. We note, however, that any
information collected by CMS in
relation to termination of a hospital
from the model would be shared with
our program integrity colleagues at
HHS, the Department of Justice, and
their designees. Should a participant
hospital, or one of its CJR collaborators,
be noncompliant with the requirements
of the CJR model or engage in unlawful
behavior related to participation in the
CJR model, we note that such
information could be used in
proceedings unrelated to the
enforcement mechanisms in this
section.
Where a participant hospital is
terminated from the CJR model, we are
finalizing our proposal that the hospital
would remain liable for all repayment
amounts from episodes of care that
occurred prior to termination. CMS may
terminate a participant hospital from the
CJR model when the participant
hospital, or its CJR collaborator
performs functions or services related to
CJR activities, fails to comply with any
of the requirements of the CJR model.
CMS may terminate a participant
hospital’s participation in the model, or
require a participant hospital to
terminate a collaborator agreement with
a CJR collaborator for reasons including,
but not limited to the following:
• The CJR participant hospital, a CJR
collaborator that has a collaborator
agreement with the participant hospital,
or an individual or entity participating
in the CJR model under the participant
hospital does any of the following:
++ Takes any action that threatens
the health or safety of patients; avoids
at-risk Medicare beneficiaries, as this
term is defined in § 425.20; or avoids
patients on the basis of payer status.
++ Is subject to sanctions or final
actions of an accrediting organization or
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federal, state or local government
agency that could lead to the inability
to comply with the requirements and
provisions of this final rule.
++ Takes any action that CMS
determines for program integrity reasons
is not in the best interests of the CJR
model, or fails to take any action that
CMS determines for program integrity
reasons should have been taken to
further the best interests of the CJR
model.
++ Is subject to action by HHS
(including OIG and CMS) or the
Department of Justice to redress an
allegation of fraud or significant
misconduct, including intervening in a
False Claims Act qui tam matter, issuing
a pre-demand or demand letter under a
civil sanction authority, or similar
actions.
++ Is subject to action involving
violations of the physician self-referral
prohibition, civil monetary penalties
law, federal anti-kickback statute,
antitrust laws, or any other applicable
Medicare laws, rules, or regulations that
are relevant to the CJR model.
Finally, we are clarifying our proposal
that CMS may terminate the CJR model
for reasons including but not limited to
the following:
• CMS determines that it no longer
has the funds to support the CJR model.
• CMS terminates the model pursuant
to section 1115A(b)(3)(B) of the Act. As
provided by section 1115A(d)(2) of the
Act, termination of the model is not
subject to administrative or judicial
review. This provision is set forth in
regulation at new § 510.900
D. Quality Measures and Display of
Quality Metrics Used in the CJR Model
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1. Background
a. Purpose of Quality Measures in the
CJR Model
In section III.D.1.a. of the proposed
rule, we stated that the priorities of the
National Quality Strategy 53 include
making care safer and more affordable,
promoting effective communication and
coordination as well as engaging
patients and families in their care. We
also stated our belief that quality
measures that encourage providers to
focus on the National Quality Strategy
priorities will ultimately improve
quality of care and cost efficiencies. In
section III.C.5. of the proposed rule, we
proposed that in order for a hospital in
the model to receive a reconciliation
payment for the applicable performance
year, the participant hospital’s measure
53 National Quality Strategy. Working for Quality:
About the National Quality Strategy. Available at:
https://www.ahrq.gov/workingforquality/about.htm#
develnqs. Accessed on April 15, 2015.
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results must meet or exceed certain
thresholds compared to the national
hospital measure results calculated for
all HIQR-participant hospitals for all
three measures for each performance
period. More specifically, for
performance years 1 through 3, a
participant hospital’s measure results
must be at or above the 30th percentile
of the national hospital measure results
calculated for all hospitals under the
HIQR Program for each of the three
measures for each performance period
(for a detailed discussion see section
III.C.5.b. of the proposed rule). For
performance years 4 and 5, a participant
hospital’s measure results must be at or
above the 40th percentile of the national
hospital measure results (for a detailed
discussion see section III.C.5.b. of the
proposed rule). In section III.D. of the
proposed rule we proposed and
described quality measures that will be
used for public reporting and to
determine whether a participant
hospital is eligible for the reconciliation
payment under the model. We proposed
a Total Hip Arthroplasty (THA) and/or
Total Knee Arthroplasty (TKA)
complications measure and
readmissions measure, as well as a
patient experience survey measure for
the model. We stated that these
measures assess the priorities of safer
care, transitions of care and effective
communication, and engagement of
patients in their care, respectively.
Specifically, we proposed the following
three CMS outcome measures:
• The Hospital-level riskstandardized complication rate (RSCR)
following elective primary total hip
arthroplasty (THA) and/or total knee
arthroplasty (TKA) (NQF #1550) (as
referred to as THA/TKA Complications
measure (NQF #1550)).
• The Hospital-level 30-day, all-cause
risk-standardized readmission rate
(RSRR) following elective primary total
hip arthroplasty (THA) and/or total knee
arthroplasty (TKA) (NQF #1551) (as
referred to as THA/TKA Readmissions
measure (NQF #1551)).
• Hospital Consumer Assessment of
Healthcare Providers and Systems
(HCAHPS) Survey measure (NQF
#0166).
We indicated in the proposed rule
that these measures are fully developed
for the inpatient hospital settings, are
endorsed by the National Quality Forum
(NQF), and recommended by the NQF
Measure Application Partnership (MAP)
with subsequent implementation in the
HIQR Program, HVBP Program, and the
HRRP (see FY 2015 IPPS/LTCH final
rule 79 FR 50031, 50062, 50208 through
50209, and 50259). These measures are
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also publicly reported on the Hospital
Compare Web site.
We previously stated that an
important purpose of the proposed
quality measures for the model is to
provide transparent information on
hospital performance for the care of
patients undergoing eligible elective
joint replacement surgery, and to ensure
that care quality is either maintained or
improved. The proposed measures
assess the following key outcomes for
patients undergoing elective joint
replacement surgery:
• Serious medical and surgical
complications.
• Unplanned readmissions.
• Patient experience.
In the proposed rule we discussed the
impact of THA/TKA procedures on
complications and unplanned
readmissions. We noted that THA/TKA
procedure complications and
readmissions result in excess inpatient
and PAC spending, and reductions in
these undesirable events will improve
patient outcomes while simultaneously
lowering healthcare spending. To this
end, we also stated that the THA/TKA
Complications measure (NQF #1550)
will inform quality improvement efforts
targeted towards minimizing medical
and surgical complications during
surgery and the postoperative period,
and that the THA/TKA Readmissions
measure (NQF #1551) captures the
additional priorities of care provided in
the transition to outpatient settings and
communication between patients and
providers, during and immediately
following inpatient admission. We
stated our belief that improved quality
of care, specifically achieved through
coordination and communication
among providers, and with their
patients and their caregivers, can
favorably influence performance on
these measures. We continue to believe
improvement in measure performance
will also mean improved quality of care
and reduced cost.
We also stated in the proposed rule
our continued focus on patient
experience during hospitalizations, and
our belief that the HCAHPS Survey
measure (NQF #0166) provides not only
the opportunity for patients to share
their LEJR hospital experience, but also
for hospitals to improve quality of care
based on patient experience. For
example, the HCAHPS Survey measure
(NQF #0166) ‘‘categories of patient
experience’’ specifically provides areas
(for example, communication with
doctors and nurses, responsiveness of
hospital staff, pain management) in
which a hospital could improve
transition of care and increase patient
safety (80 FR 41282). We also
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summarized that the HCAHPS survey
includes measures related to nurse and
physician communication, pain
management, timeliness of assistance,
explanation of medications, discharge
planning and cleanliness of the
hospitals to provide specific areas for
hospitals to improve on,54 and indicated
in the proposed rule the some of the
specific questions on provider
communication included the following:
• How often the patient believed
providers listened carefully to his or her
questions?
• Whether the purpose of
medications and associated adverse
events were explained?
• Whether discussions on postdischarge instructions and plans
occurred so that the patient had a clear
understanding of how to take
medications and an understanding of
his or her responsibilities in managing
his or her health post-discharge?
In the proposed rule we addressed
how these areas of patient experience
would be invaluable to improving
hospital quality of care. We noted that
Manary, et al.2 suggested that by
focusing on patient outcomes, hospitals
could improve patient experience and
highlighted that timeliness of measuring
patient experience is important due to
the potential for recall inaccuracies. We
noted that administration of the
HCAHPS Survey measure (NQF #0166)
must begin between 2 and 42 days after
discharge from a hospital.
We also briefly addressed the concern
regarding the question of whether there
is a relationship between patient
satisfaction and quality of surgical care.
We addressed this question by noting
the work of Tsai, et al.55 We noted that
Tsai et al. recently assessed patient
satisfaction using the HCAHPS survey
results and correlated quality
performance using nationally
implemented structural, process and
outcome surgical measures (that is,
structural, process and outcome surgical
measures in the HVBP program and the
HRRP). The study found a positive
relationship between patient experience
of care and surgical quality of care,
among the 2,953 hospitals that perform
six high cost and high frequency
surgical procedures that are also
associated with morbidity and mortality
in Medicare beneficiaries. The study
also included hip replacement
procedures, and specifically noted that
54 Manary MP, Boulding W, Staelin R, Glickman
SW. The Patient Experience and Health Outcomes.
New England Journal of Medicine. Jan 2013;
368(3):201–203.
55 Tsai TC, Orav EJ, Jha AK. Patient Satisfaction
and quality of surgical care in US hospitals. Annals
of Surgery. 2015; 261:2–8.
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those hospitals with high patient
satisfaction also had high performance
on nationally implemented surgical
quality measures (such as the Surgical
Care Improvement Project measures and
30-day risk-adjusted readmission and
perioperative mortality outcome
measures). We noted that although the
HCAHPS Survey measure (NQF #0166)
is not specific to joint replacements, the
survey provides all patients the
opportunity to comment on their
hospital experience, including patients
who have received LEJRs, having all
patients responding to the survey helps
to inform hospitals on areas for
improvement. We also indicated that
while HCAHPS scores are aggregated at
the hospital level, the surgical service
line is one of three service lines
encompassed by the survey.56
Finally we shared our goal to strive to
align as many measures and programs as
is feasibly possible, and stated our belief
that proposing fully developed
measures that are used in other CMS
hospital quality programs will minimize
the burden on participant hospitals for
having to become familiar with new
measures, while still allowing us to
appropriately capture quality data for
the model.
The following is a summary of the
many comments received and our
responses.
Comment: We note multiple
stakeholders supported the proposed
three measures and the THA/TKA
voluntary data submission in the CJR
model. Others specifically supported
the mandatory nature of the measures
because it encourages hospitals to
improve quality of care for THA/TKA
patients.
Response: We appreciate support by
multiple stakeholders for the measures
and the THA/TKA voluntary data
submission in the CJR model.
Comment: A few commenters
indicated concerns over beneficiary
protections and potential for stinting of
care as it relates to the financial
incentives of the CJR model, and there
were concerns about the three proposed
measures being insufficient metrics to
assess CJR beneficiary health care
outcomes, such as a return to activities
of daily life. Other beneficiary
protection concerns included the
potential unintended consequences of
encouraging: (1) Inappropriate care
shifting by providers within the 90-day
post-operative day window for the
THA/TKA Readmissions measure (NQF
56 Giordano LA, Elliott MN, Goldstein E, Lehrman
WG, Spencer PA. Development, Implementation,
and Public Reporting of the HCAHPS Survey.
Medical Care Research and Review. 2010;67(1):27–
37.
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#1551); (2) readmissions related to
infection, hematoma, pulmonary
embolus following THA or TKA
replacement which may not be
controllable despite adherence to best
practices should not be included in the
episode of care; and (3) providers may
decrease or deny access to care for
patients with comorbidities, in order to
improve rates on the THA/TKA
Readmissions measure (NQF #1551) and
THA/TKA Complications measure (NQF
#1550).
Response: We appreciate the
commenters’ concerns about potential
unintended consequences for
beneficiaries resulting from
implementation of the three proposed
measures. We note that the CJR model
does address beneficiary protections,
access to care, quality of care, and
delayed care, as discussed in section
III.F. of this final rule.
Regarding the concern about the
proposed measures being inadequate to
determine whether the care provided to
the patient was sufficient to promote an
adequate recovery and return to
activities of daily life, we acknowledge
that the proposed measures do not
specifically address activities of daily
living, but we note that the THA/TKA
PRO data collection does include survey
instruments (that is, PROMIS and VR–
12 surveys) that assess activities of daily
life information and pain management.
Through this voluntary initiative, we
believe we will begin to address this gap
in the current measure set for the CJR
model.
Regarding the concern about the
potential unintended consequences of
care shifting by providers to prevent
poor performance on the THA/TKA
Readmissions measure (NQF #1551), we
note from the beneficiary protection
perspective that the model allows
beneficiaries to choose their providers
and suppliers, and has processes where
CMS will be monitoring claims data
from participant hospitals—for example,
to compare a hospital’s case mix relative
to a pre-model historical baseline, to
determine whether complex patients are
being systematically excluded. We will
also be publishing this data as part of
the model evaluation to promote
transparency and an understanding of
the model’s effects. We note from a
quality measurement perspective that
the readmission measure assesses
unplanned readmissions in the 30 days
following discharge from an eligible
hospitalization. As previously discussed
in the context of the HIQR Program (77
FR 53521), the measure uses a 30-day
timeframe because it is a clinically
meaningful and sufficient time period
for hospitals to show the result of their
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efforts to reduce readmissions.
However, we believe that hospitals
should be monitored for shifts in patient
care. In the context of the Hospital
Readmission Reduction Program (77 FR
53376), we acknowledged stakeholders’
concerns for unintended consequences
of inappropriate shifting of care,
increased morbidity and mortality and
other negative unintended
consequences for patients. We stated
our commitment to monitor the
outcome measures and assess
unintended consequences over time. In
addition to internal monitoring of
hospital performance and potential
unintended consequences, we
specifically publish online each year the
Medicare Hospital Quality Chartbook
(https://www.cms.gov/Medicare/
Quality-Initiatives-Patient-AssessmentInstruments/HospitalQualityInits/
OutcomeMeasures.html). This annual
Chartbook provides new information
about recent trends and variation in
condition specific and surgical
procedure outcomes by location,
hospital characteristics, and patient
disparities. In the FY2016 IPPS/LTCH
final rule (80 FR 49674 through 49690),
we finalized reporting of two new
excess days in acute care measures that
will complement the existing
readmission measures by providing
addition information and insight about
patients that return to the hospital for
emergency department visits,
observation stays or inpatient
readmissions after hospitalization for
acute myocardial infarction and heart
failure.
Regarding the concern that
readmissions related to infection,
hematoma, and pulmonary embolus
following THA or TKA replacement
may not be controlled despite adherence
to best practices, we acknowledge that
we do not expect hospitals to achieve a
hospital-level THA/TKA RSRR of zero,
but instead expect hospitals to seek and
implement processes to improve their
annual THA/TKA RSRR. We base this
belief on the need to improve THA/TKA
RSRRs, based on Medicare FFS
administrative claims data from July 1,
2011 to June 30, 2014, which revealed
a median RSRR of 4.8 percent with a
range of 2.6 percent to 8.5 percent. A
range of 2.6 percent to 8.5 percent
suggests room for improvement.
Further, we note that we measure allcause readmission, including
readmission for conditions such as
infection, hematoma, and pulmonary
embolus, rather than a narrowly defined
set of conditions, to assess performance
for several reasons. First, from the
patient perspective, readmission for any
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reason is likely to be an undesirable
outcome of care after an acute
hospitalization. Secondly, readmissions
not directly related to hip/knee
replacement may still be a result of the
care received during hospitalization for
the procedure. For example, a patient
who underwent a THA/TKA procedure
who develops a hospital-acquired
infection may ultimately be readmitted
for sepsis. It would be inappropriate to
treat this readmission as unrelated to
the care the patient received during the
index hospitalization. Furthermore, the
range of potentially avoidable
readmissions also includes those not
directly related to the initial
hospitalization, such as those resulting
from poor communication at discharge
or inadequate follow-up. In addition,
readmissions for rare reasons
completely unrelated to hospital care,
such as car accidents involving the
patient as a passenger, are likely to be
distributed randomly across hospitals
and are not expected to introduce bias
into the measure results.
We appreciate the concern expressed
by the commenter that surgeons may
choose not to operate on patients who
have comorbid conditions in order to
improve the hospital’s performance on
the readmission measure. We had
similar concerns about this potential
unintended consequence, and for this
reason the THA/TKA Readmissions
measure (NQF #1551) risk adjusts for
patients’ risk factors, thereby taking into
account case mix differences across
providers. Adjusting for case mix is an
important aspect for measuring a RSRR
that accurately reflects factors that can
confound an outcome rate when not
adequately adjusted.
Finally, we do not believe that the
proposed measures are insufficient
metrics to assess CJR model patients.
We note that hospitals are the unit of
analysis for this model and that the
proposed measures are hospital-level
measures. We believe that these
hospital-level measures do assess how
hospitals provide care for THA/TKA
patients since the measures assess
complications, which are costly, and
assess patients’ perspectives on their
hospital experience, which also
includes patient feedback on
communication with doctors,
communication with nurses,
responsiveness of hospital staff, pain
management, communication about
medicines, discharge information,
cleanliness of the hospital environment,
quietness of the hospital environment,
and transition to post-hospital care.
While we acknowledge that the
proposed measures do not include
reported functional outcomes, we have
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proposed the THA/TKA voluntary data
submission initiative to begin to assess
post-operative functional outcomes. To
our knowledge a hospital-level riskadjusted patient-reported functional
outcome measure using a nonproprietary instrument to assess the
measure outcome does not exist nor did
we receive any suggestions from the
public for measures that fit this
description. We anticipate including
hospital-level risk-adjusted patientreported functional outcome measure in
years 4 and 5 of this model.
Comment: Some commenters
expressed concern that the current CJR
model measure set does not adequately
protect patients, since the measure set
does not include what LEJR patients
care most about, which is being able to
walk following their joint replacement
surgery and minimizing post-surgical
pain. These commenters suggested that
the CJR model require measures that
address assessment of how well pain
was managed, the patient’s pain
experience and the inclusion of a
functional measure that meaningfully
assesses the ability to walk after surgery.
Response: We note that the three
proposed measures address inpatient
care and that outpatient care will begin
to be assessed by the by the voluntary
data submission for the THA/TKA
patient-reported outcome-based
measure currently in development (80
FR 41284 through 41289). The HCAHPS
Survey measure (NQF #0166) was
created to capture many different
aspects of care experienced by
inpatients. The proposed HCAHPS
Survey measure (NQF #0166)
specifically assesses how well hospital
staff help patients manage pain, how
responsive hospital staff are to patients’
needs and how well the patients are
prepared for the transition to posthospital care. Because the HCAHPS
Survey measure (NQF #0166) begins to
address areas of pain management and
ambulation by assessing transition to
post-hospital care, and because
hospitals are very familiar with the
HCAHPS Survey measure (NQF #0166),
we believe that this measure is a good
starting point to assess and quantify
how well patients’ pain was managed
and whether patients’ pain experience
was assessed during a hospitalization.
Furthermore, we believe that the THA/
TKA voluntary PRO data submission
portion of the CJR model does begin to
address the concerns of patients, as this
measure in development included
patients as members of the Technical
Expert Panel convened by the measure
developer. The Technical Expert Panel,
which included patient members,
provided input into all aspects of the
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development of this measure, including
the proposed pre-operative and postoperative THA/TKA voluntary data
elements (80 FR 41285 and 41286). We
also note that patient participation was
integral to the creation of the THA
patients’ Hip disability and
Osteoarthritis Outcome Score (HOOS)
and TKA patients’ Knee injury and
Osteoarthritis Outcome Score (KOOS)
surveys. For these reasons, we believe
the HCAHPS Survey measure (NQF
#0166) and the HOOS and KOOS
surveys in the voluntary submitted data
for the THA/TKA patient-reported
outcome based measure do address the
perspective of patients regarding pain
management, the quality of pain care
and the functional assessment of
walking post-primary elective THA and
TKA. Finally, we emphasize we
anticipate that a fully specified and
tested THA/TKA patient-reported
outcome-based performance measure
will be included in years 4 and 5 of the
CJR model.
Comment: Many commenters
requested that CMS assess patient
experience regarding pain experience,
pain management and ambulation. In
addition, they requested that measures
be instituted that assess pain
management frequently to
counterbalance the economic interests
of hospitals. Some shared that pain
measures should be conducted every
day and long-term measures be
conducted quarterly during the first
post-operative year.
Response: We appreciate the
suggestions to expand the measure set
for the CJR model to include inpatient
and outpatient experience regarding
pain management and ambulation. We
note that the HCAHPS Survey measure
(NQF #0166) does include inpatient
pain management experience and that
the THA/TKA voluntary data
submission also addresses postoperative ambulation. To our
knowledge, there are no other hospitallevel risk-adjusted outcome measures
for patient experience that assesses pain
experience, pain management and
ambulation. As the CJR model continues
to refine its measure set we will
consider the recommendation for pain
management patient experience of care
measures that are applied frequently to
counterbalance hospital economic
interests.
Comment: Commenters suggested
placing a greater weight on measures
that address assessment of how well
pain was managed, the patient’s pain
experience and the inclusion of a
functional measure that meaningfully
assesses the ability to walk after surgery.
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Response: As discussed in a prior
related comment, we note that the
HCAHPS Survey measure (NQF #0166)
specifically assesses how well hospital
staff help patients manage pain, how
responsive hospital staff are to patients’
needs and how well the patient was
prepared for the transition to posthospital care. We also note that section
III.C.5.(c)(ii) of the proposed rule
discussed an alternative link to quality
and payment provided a weight of 30
percent to the HCAHPS Survey measure
(NQF #0166). We refer reviewers to
section III.C.5. of this final rule for
responses to this comment from a
payment perspective for a full
discussion of the finalized policy for
reconciliation payment based on
measure performance. From an
HCAHPS Survey measure (NQF #0166)
perspective, we note that the HCAHPS
survey captures the inpatient experience
from the patient’s perspective and the
survey must be conducted within 48
hours and 6 weeks of discharge. We also
note that the THA/TKA voluntary PRO
data submission includes both preoperative surveys covering 90 to 0 days
of care, and post-operative surveys focus
on days 270 to 365 post-surgery for the
primary elective THA/TKA procedure.
Comment: Many commenters
supported the proposed three measures,
and specifically the mandatory nature of
the measures and the proposed weights
in the reconciliation payment composite
quality score methodology (80 FR 41241
Table 8).
Response: We appreciate the support
of the mandatory nature of the three
proposed measures in the CJR model.
Comment: We received comments
regarding how the CJR model links
quality and payment. The comment was
made based on the already low
complication and readmission rates,
with the suggestion to have incentive
payments for sustained top
performance.
Response: For a discussion of how the
CJR model links quality and payment
and incentive payments, we refer
readers to section III.C.5. of this final
rule.
Regarding that portion of the
comment stating that the THA/TKA
complications and readmissions rates
are already low, we note that there is
still room for improvement related to
the complication and readmission rates
for primary elective THA/TKA
procedures. As previously noted in the
preamble the median hospital-level
primary elective THA/TKA RSCR’s for
April 1, 2011 through March 31, 2014
was 3.1 percent with a range from 1.4
percent to 6.9 percent. Similarly, the
data on the THA/TKA RSRR for a 3-year
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period (July 1, 2011 to June 30, 2014)
revealed a median RSRR of 4.8 percent
with a range of 2.6 percent to 8.5
percent. We believe both sets of data
with the median RSCR and RSRR and
the associated ranges, rather than
suggesting a low rate, suggest room for
improvement in preventing
complications. Finally, we believe, from
a patient’s perspective, that
readmissions and complications are
undesirable outcome of care, and
therefore providers should strive to
improve all aspects of health care that
influence the occurrence of
complications and readmissions so that
the median RSCR, RSRR, and their
ranges consistently improve over time.
Comment: A commenter while
supporting the three proposed measures
and the THA/TKA voluntary data
submission, indicated that CMS needs
to provide a stronger financial incentive
and compensation for additional costs
related to submission of THA/TKA
voluntary PRO data.
Response: We appreciate the support
of the three proposed measures and the
THA/TKA voluntary PRO data
submission. Regarding the comment
indicating that CMS needs to provide a
stronger financial incentive and
compensation for additional costs
related to submission of THA/TKA
voluntary data, we refer readers to
section III.C.5.b.(5)(c)(iii) of this final
rule.
Comment: Many commenters
suggested various ways to adjust the
robustness of the current proposed
measure set for the CJR model.
Suggestions included that we (1) add
more patient-reported functional
measures that address ambulation and
pain management, such as specific
functional measures like Functional
Change: Change in Motor Score (NQF
#2287), CARE: Improvement in Mobility
(NQF #2612) and CARE: Improvement
in Self Care (NQF #2613); (2) add
measures used in the BPCI model 2,
including the all-cause mortality and
the emergency department use without
hospitalization; (3) have
appropriateness measure (measuring
appropriateness of care at the beginning
of the episode) or a utilization measure
(assessing utilization patterns and case
mix as part of the evaluation); (4) have
measures specific to assess care
provided in a continuum consistent
with the episode of care and inclusive
of the PAC settings in general and
specifically for home health agencies;
(5) have a measure set that is similar to
the Physician Quality Reporting System
(PQRS) Total Knee Replacement
Measures Group; and (6) incorporate
Unique Device Identification (UDI) of
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hip and knee replacements into
administrative claims data since it
would benefit the CJR model by
providing better information to
hospitals on device quality and costs,
and could enhance data to CMS to
ensure quality.
Response: We appreciate these
suggestions for ways to increase the
robust nature of the CJR model measure
set.
We appreciate the suggestion for the
Functional Change: Change in Motor
Score (NQF #2287), as it helps us to be
sure we have considered all possible
measures. We note that the suggested
measure of Functional Change: Change
in Motor Score (NQF #2287) was
developed for use in inpatient
rehabilitation facilities (IRFs).
Specifically, the Functional Change:
Change in Motor Score (NQF #2287)
measure is based upon the Functional
Independence Measure (FIM), which is
intended for use with nursing home
residents and IRF patients and assesses
functional status items relevant to that
patient population, including Feeding,
Grooming, Dressing Upper Body,
Dressing Lower Body, Toileting, Bowel,
Expression, Memory, Transfer to/from
Bed/Chair/Wheelchair, Transfer to/from
Toilet, Locomotion and Stairs. Since the
unit of analysis is not acute care
hospitals, this measure would not be
appropriate for CJR model. We note that
the TEP convened by the measure
development contractor, which
included clinical and technical experts
as well as patients, believed the HOOS/
KOOS, VR–12 and PROMIS-Global
instruments assessed more meaningful
pain and function outcomes at 270 to
365 days after elective primary THA/
TKA patient population, which led to
our proposal of the HOOS/KOOS, VR–
12 and PROMIS-Global instruments.
Additionally, we note that the suggested
Functional Change: Change in Motor
Score (NQF #2287) measure does not
focus on acute care hospital care of
THA/TKA patients, which is important
since CJR hospitals are the unit of
analysis for this model. We
acknowledge the importance of
assessing patient-reported functional
changes, which is why we also
proposed the THA/TKA voluntary data
for patient-reported functional
outcomes. We note that the voluntary
submission of THA/TKA voluntary data
for patient-reported functional outcomes
using the proposed survey tools will
begin to address functional outcomes of
ambulation, thereby adding to the
HCAHPS Survey measure (NQF #0166),
which assesses inpatient pain
management.
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Regarding the suggestion to use BPCI
model 2 measures that assessed allcause mortality and the emergency
department use without hospitalization.
We note that these were not measures
but instead interim analyses performed
to assess these aspects of the model.
Since the CJR model is specific to LEJR
we chose to identify measures that were
not only specific to these procedures but
were risk-adjusted and developed for
acute care hospitals. We also chose the
proposed measures for the reasons
outlined in Background sections of
III.D.1.a., III.D.2.a., III.D.2.b. and
III.D.2.c.
Regarding the suggestions for specific
PAC measures (for example, CARE:
Improvement in Mobility (NQF #2612)
and CARE: Improvement in Self Care
(NQF #2613)), and the general comment
to add measures that: (1) Address care
across the continuum of the CJR model
episode of care; (2) are specific to the
PAC setting; and (3) and/or are similar
to the Total Knee Replacement (TKR)
Measures Group found in the PQRS, we
note that for this CJR model we
restricted our choice of measures to
hospital-level measures given that
attribution of the model is at the
hospital level, and specifically to riskadjusted hospital-level outcome
measures. In addition, although these
suggested functional outcome measures
assess functional change in the PAC
setting and potentially across the
continuum of the episode of care, they
are not specific to the THA/TKA
procedure patients in our 5-year CJR
model.
Regarding the suggestion to include
an appropriateness measure or a
utilization measure, we are unaware of
existing consensus guidelines as to what
pre-operative level of pain or functional
disability justifies elective primary THA
or TKA procedures. Therefore, we
believe it is premature to create an
appropriateness measure without
engaging with patients and providers to
define appropriateness. Further, while
we have developed a measure of
Hospital-Level, Risk-Standardized
Payment Associated with a 90-Day
Episode of Care for Elective Primary
Total Hip Arthroplasty (THA) and/or
Total Knee Arthroplasty (TKA), this
measure will not have been publicly
reported until July 2016 and was
therefore not considered for the CJR
model at this time. We will consider
changes to the quality measure
components for the CJR during future
rulemaking as appropriate.
Regarding the suggestion to consider
device selection in measures, we
understand this comment to be about
post-marketing surveillance of medical
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devices used in THA/TKA procedures.
We note that the addition of device
selection and the ability to capture it
through administrative claims codes
will impact many other measures and
CMS programs. We will evaluate this
concern in the future as needed.
Comment: A single commenter
requested that quality measurements
between hospitals and physicians
should be delinked when determining
eligibility for savings, so that highperforming physicians are eligible for
savings even when a hospital is
underperforming.
Response: We note that section III.B.
of the proposed rule provides a detailed
summary of the episode definition (80
FR 41212) and a detailed discussion on
why hospitals are the unit of analysis
for the CJR model episode of care and
the proposed quality measures. We refer
reviewers to section III.C. of this final
rule for a discussion on how physicians
could influence their eligibility for
savings under the CJR model. We note
that the quality measures are all
hospital-level since acute care hospitals
are the unit of analysis for quality
measures and that physicians will
continue to be assessed through
programs such as the Physician Quality
Reporting System. As the CJR model
undergoes refinement in the subsequent
years, if it becomes reasonable and
feasible to implement physician-level
measures, we will consider
implementing such changes to the CJR
model through notice-and-comment rule
making.
Comment: Some stakeholders
recommended that CMS, over time,
require information about patients’
changes in function so that this data can
be used as an outcome measure. They
also agreed with the MedPAC’s public
comment that CMS consider collection
of the same information on function that
is required of PAC providers to comply
with the requirements of the Improving
Medicare Post-Acute Care
Transformation (IMPACT) Act of 2014.
Response: We note that CMS recently
finalized an application of Percent of
Long-Term Care Hospital Patients With
an Admission and Discharge Functional
Assessment and a Care Plan That
Addresses Function (NQF #2631;
endorsed on July 23, 2015) in multiple
PAC settings for FY 2018 and
subsequent years (for the IRF setting, see
80 FR 47100; for the LTCH setting, see
80 FR 49739). This is a process measure
that requires the collection of admission
and discharge functional status data
using standardized clinical assessment
items, or data elements that assess
specific functional activities, that is,
self-care and mobility activities across
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PAC settings. In addition to proposing a
process-based measure for the domain
in the IMPACT Act of functional status,
cognitive function, and changes in
function and cognitive function, we also
intend to develop outcomes-based
quality measures, including functional
status and other quality outcome
measures, to further satisfy this domain.
Although these measures will assess
functional change for each care setting
as well as across care settings, they will
not be specific to the THA/TKA
procedure patients in the 5-year
performance period of the CJR model.
Notwithstanding the important
changes instituted by the IMPACT Act,
we note that current patient function
data collected in various PAC PPSs
gather patient function data from the
provider’s perspective, that is, these
data are provider-reported, while the
proposed THA/TKA voluntary data
submission collects functional data from
the patient’s perspective (that is,
patient-reported). We are committed to
prioritizing patient-reported outcomes
as these data are likely to focus attention
on the most patient-centered care
feasible. We also note that the PAC data
are collected after the THA/TKA
procedure and therefore cannot be used
to assess the patient’s response to this
elective intervention. In addition, these
data are collected at admission and
discharge from PAC settings. Therefore,
these data are not captured over a
standard time period, and changes in
these assessments may not reflect
differences in quality of care across
providers. Finally, these assessments are
administered to patients during the
acute recovery phase following these
procedures, as they are intended to
assess the quality of care provided
during the immediate post-operative
rehabilitation period. Patient function
during this period is usually restricted
by the responsible physician for a
period of weeks to ensure prosthetic
joint stability; patients’ activities are
then advanced as tolerated over time.
Therefore, short-term functional
assessments are inadequate for
capturing the full patient outcomes after
these procedures, and the Technical
Expert Panel convened by our measure
development contractor strongly urged
post-operative data be collected at least
9 months after surgery. For all of these
reasons, we believed the proposed
voluntary PRO data collection
specifications better reflect outcomes
meaningful to patients undergoing
elective joint replacement surgery and
better assess hospital-level quality of
care. We also note that depending on
the quality measure used and the setting
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in which the measure is applied, the
measure may not allow collection of
identical patient function data across all
settings, since an applicable patientrelated functional data element in one
setting may not necessarily be
applicable in another setting. For
example, if the intent of a patient
functional measure is to assess the
frequency of post-operative infections
for hospitals, the same measure may not
be applicable to an IRF or a HHA.
Finally, we note that we are
committed to considering the
implementation of quality measures that
are standardized and interoperable
across PAC and hospital settings using
standardized patient assessment data.
Comment: Some commenters believed
that linking quality measure
performance to eligibility for
reconciliation payment in order to
ensure continued attention to quality of
care throughout the duration of the
program and promote collaboration
among all parties involved in
beneficiaries’ care approach fails to
reflect the quality of care to be delivered
in the context of the model. These
commenters believe that the currently
proposed methodology to determine
performance on quality measures and
linkage to reconciliation payment
eligibility uses arbitrary distinctions in
performance among hospitals that are
not borne out by the data or even by
CMS’s own method of rating
performance on the Hospital Compare
Web site. Further, these commenters
recommend that we adopt a balanced
approach by using a methodology
similar to the confidence intervals used
in Hospital Compare that distinguishes
performance based on the three
categories of comparison to the national
average. They recommended using only
the performance on THA/TKA
Complications measures (NQF #1550)
and the THA/TKA Readmissions
measure (NQF #1551) to determine if a
hospital is eligible for reconciliation
payment. Specifically, they
recommended that if performance on
both of these two measures is both
statistically worse than the national
average, then a hospital should not be
eligible for reconciliation payment.
Additionally, other commenters agreed
that use of measure result point
estimates to determine percentiles may
not be appropriate because—(1) The
measures are a ratio comparing observed
to expected, where expected is based on
the national performance. An individual
hospital’s performance should be
assessed within confidence intervals as
the measure was originally specified,
tested, and endorsed by the NQF; and
(2) they believe that there may not be a
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distinguishable difference in the
performance of hospitals at the 50th
percentile and the 30th percentile.
These commenters specifically
recommended a solution that uses
confidence intervals similar to how
outcome measure results are presented
in Hospital Compare, where hospitals
are grouped into ‘‘no different than the
national rate,’’ ‘‘better than the national
rate,’’ or ‘‘worse than the national rate.’’
Hospitals that are ‘‘no different than the
national rate’’ or ‘‘better than the
national rate’’ should automatically be
deemed eligible for any potential
savings.
Response: We appreciate these
comments and refer reviewers to section
III.C.5.b.(5)(c)(iii) of this final rule for a
detailed response to these concerns.
Comment: A single commenter sought
guidance on how a hospital system will
measure quality of care delivered by
outside agencies.
Response: We understand the
commenter to be referring to guidance
on measuring the quality of care
delivered by PAC providers. CMS has
several PAC quality and payment
programs with quality metrics. We
encourage hospitals to review the—(1)
IRF Program Web site at: https://
www.cms.gov/Medicare/QualityInitiatives-Patient-AssessmentInstruments/IRF-Quality-Reporting/
index.html; (2) Long-Term Care Hospital
Quality Reporting Program Web site at:
https://www.cms.gov/Medicare/QualityInitiatives-Patient-AssessmentInstruments/LTCH-Quality-Reporting/
index.html?redirect=/LTCH-QualityReporting/; and (3) Skilled Nursing
Facility Quality initiative Web site at:
https://www.cms.gov/Medicare/QualityInitiatives-Patient-AssessmentInstruments/NursingHomeQualityInits/
SNF-Quality-Reporting.html. At this
time, these three PAC quality programs
do not report quality measure results on
a Compare Web site. For Home Health
Agencies please see: https://www.
medicare.gov/homehealthcompare/)
and for Nursing Homes please see
‘‘about the data’’ tab at https://www.
medicare.gov/nursinghomecompare/ for
an explanation of the measures used in
these programs. We also refer the public
to Data.Medicare.gov (see: https://
data.medicare.gov/) for a list of
measures in these two programs. Both
the Home Health Compare and Nursing
Home Compare Web sites explain their
respective data sources and may be of
help in guiding hospital systems that are
interested in measuring quality of care
delivered by home health agencies and
nursing homes. For example, in the
Home Health Compare Web site the
section entitled ‘‘About the Data’’
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indicates that data come from the
following two sources: (1) CMS’s health
inspection database—Includes the
nursing home characteristics and health
deficiencies issued during the 3 most
recent state inspections and recent
complaint investigations. Data about
staffing and penalties made against
nursing homes also come from this
database; and (2) National database
known as the Minimum Data Set
(MDS)—Data for quality measures come
from the MDS Repository. The MDS is
an assessment done by the nursing
home at regular intervals on every
resident in a Medicare- or Medicaidcertified nursing home. Information is
collected about the resident’s health,
physical functioning, mental status, and
general well-being. These data are used
by the nursing home to assess each
resident’s needs and develop a plan of
care. Understanding how CMS and
states assess the care of home health
agencies and becoming familiar with the
guidelines that CMS sets for home
health agencies can help to inform
individual hospitals or hospital systems
on how to assess quality of care by PAC
agencies.
Comment: Some commenters had
concerns regarding the proposed
requirement that hospitals pass all three
thresholds in order to realize and
receive payment for savings. They
expressed concern that such a
requirement will have the effect of
filtering out close to 60 percent of the
participants, and believe that the
proposed measures act as a triple filter
and are biased against teaching
hospitals and urban hospitals. They
believe that the HCAHPS Survey
measure (NQF #0166) is particularly
biased against teaching and urban
hospitals. They believe that CMS should
establish a quality metric or a set of
metrics that more accurately reflect care
during the performance period, that are
based on a set threshold, and that do not
remove a certain percentage of the
participants.
Response: In section III.C.5.b.(5)(c). of
the proposed rule, we discussed how we
would link performance on quality
measures with the reconciliation
payments, including the proposal to use
a 30 percent threshold for the first 2
years of the model, followed by a 40
percent threshold for years 3–5 of the
model. We refer reviewers to section
III.C.5. of this final rule for a full
discussion regarding this proposal and
our final policy.
In section III.D. of the proposed rule
(80 FR 41276), we discussed, in detail,
the three proposed measures. From a
measure perspective, we believe that the
proposed measures (80 FR 41276
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through 41290) of the THA/TKA
Complications measure (NQF #1550),
THA/TKA Readmissions (NQF #1551)
and the HCAHPS Survey measure (NQF
#0166) all accurately reflect the care
provided by hospitals and their services
as defined in the episode definition
proposed in section III.B. of the
proposed rule. Additionally, we believe
that the proposed THA/TKA voluntary
data submission initiative (80 FR 41284
through 41289) is also appropriate for
the CJR model. We believe the proposed
measures are appropriate because they
are risk-adjusted outcome measures
which assess important patient
outcomes that are consistent with the
National Quality Strategy (80 FR 41276),
which acknowledges that complications
and readmissions are disruptive to
patients and caregivers, costly to the
healthcare system, and puts patients at
additional risk of hospital-acquired
infections, and specifically recognizes
that readmissions are also a major
source of patient and family stress and
may contribute substantially to loss of
functional ability, particularly in older
patients. We believe through the
HCAHPS Survey measure (NQF #0166),
CMS programs continue to highlight the
importance of assessing patient
experience of care. While we
acknowledge that the current set of
proposed measures do not include
assessment of patient-reported
functional outcomes in PAC settings, we
note that the CJR model episode of care
has acute care hospitals as the unit of
analysis for this model. To our
knowledge a hospital-level, riskadjusted patient-reported outcome
functional measure does not exist for
ready use in the CJR model. We believe
that the THA/TKA voluntary PRO data
submission initiative begins to address
this gap in available patient-reported
outcome functional measures through
this model. While the proposed
outcome measures and the THA/TKA
voluntary PRO data submission
initiative are not all inclusive of all CJR
model episode of care settings, these
measures address the concerns of
patients. Also, since this is a test model
we believe the current measures begin
to inform us of ways to improve future
models. We also have indicated that we
will be reviewing the quality measure
landscape for measures that can provide
further insight on hospital-level quality
of care for THA/TKA procedures.
Comment: A commenter was
concerned that some of the savings in
the CJR model will occur after discharge
and that the savings associated with the
post-discharge care could impact quality
of care. In order to assess this potential
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unintended consequence, the
commenter suggested as a potential
future research topic that CMS consider
assessing in which setting the cost
savings occur and compare that result to
the quality data for the associated
provider. The goal would be to answer
the following questions: (1) Did any
other quality measures decline as a
result of the cost savings; and (2) if costs
increased in a particular service area,
what was the impact on the quality
measures? The commenter believes that
by answering these questions, we would
potentially have data to help CMS better
align quality measures and incentives in
future models. Some commenters
suggested that we assess the impact of
quality measures in the CJR model and
especially changes in performance
amongst PAC settings relative to those
participant hospitals that experienced
cost savings.
Response: We will take these
suggestions into consideration as CMS
assesses ways in which to improve the
CJR model. We are committed to
ensuring that the CJR model continues
to anticipate and identify unintended
consequences that may adversely
impact beneficiary care.
Comment: Some commenters,
including consumers, strongly agreed
with the quality measure thresholds of
30 percent and, later, 40 percent for
earning savings. These commenters
believe that retaining these standards is
an essential component of the
demonstration that is needed to mitigate
risks of reduced care or quality for
consumers.
Response: We appreciate the support
of the proposed measures and the
suggestion to retain the proposed
quality measure thresholds of 30
percent and, in later years of the CJR
model 40 percent, in order to mitigate
the unintended consequence of reduced
quality of care for consumers. We are
also concerned about mitigating
unintended consequences for
consumers and refer readers to section
III.C.5. of this final rule, where the
policy for use of 30 percent threshold is
fully discussed, and section III.F. of this
final rule, where we have outlined our
intent to monitor and ensure beneficiary
protection against potential unintended
consequences. We appreciate the
importance of mitigating risks of
reduced quality of care for CMS
beneficiaries by finalizing thresholds
that will encourage hospitals and other
PAC settings to strive for improvement
on measure performance. We note that
in section III.C.5.b.(5)(c)(iii) of this final
rule in the composite quality scoring
methodology that a 30 percent threshold
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was set in order to begin receiving
points for performance on a measure.
Comment: A few commenters urged
CMS to harmonize measures so that the
goals of care will be consistent across
the care continuum.
Response: While we acknowledge that
the current proposed measures are
hospital-level measures, we note that
acute care hospitals are the unit of
analysis for this model. As the CJR
model continues, we will take into
consideration ways in which to add
measures to the model in order to have
a more robust set of measures assessing
all aspects of the CJR model episode.
Comment: Many commenters
supported the use of all three proposed
measures, while many others opposed
the use of proposed measures since the
measure cohorts are not completely
aligned with the proposed CJR model
cohorts, which are based on the MS–
DRGs of 469 and 470. These MS–DRGs
include all LEJR and non-elective THA/
TKA procedures. Those opposed to the
THA/TKA Complications measure (NQF
#1550) and the THA/TKA Readmissions
measure (NQF #1551) noted that the
measure cohorts are limited to primary
elective THA/TKA patients and that the
HCAHPS Survey measure (NQF #0166)
applies to all inpatients. The primary
concern was that the THA/TKA
Complications measure (NQF #1550)
and the THA/TKA Readmissions
measure (NQF #1551) fail to provide
insight on quality for a significant
portion of the patient population
included in the CJR model. A few
commenters indicated that they would
not be opposed to these measures if the
CJR model cohorts were completely
aligned with the measure cohorts.
Finally, a commenter requested
clarification on the implication of using
the THA/TKA Complications measure
(NQF #1550), which assesses primary
elective procedures and does not
include patients undergoing PHA
procedures.
Response: We appreciate the
comments of those that supported the
proposed measures. We also appreciate
commenters’ concerns regarding the
lack of complete alignment between the
CJR model cohorts and the proposed
measure cohorts. We note, however, that
the goal of the CJR model and the
proposed episode definition are fully
discussed in section III.B. of this final
rule. The implication of not aligning
with the MS–DRG 469 and 470 CJR
model cohorts is that it will be difficult
to assess the smaller percentage of nonelective THA and TKA patients. We
note that elective THA and TKA cases
make up the majority of MS–DRG 469
and 470 cases. We also note that the
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THA/TKA Complications measure (NQF
#1550) was created to assess hospital
performance on THA and TKA
procedures that are not only primary
procedures but also elective. In
addition, the measure cohort was
defined, with the input of clinical
experts, a nationally convened
Technical Expert Panel convened by our
measure development contractor and
public comment, to create a clinically
coherent group of patients for whom
appropriate risk prediction could be
accomplished. As partial arthroplasty
procedures are primarily done for hip
fractures and are typically performed on
patients who are older, frailer, and have
more comorbid conditions, the clinical
experts and other Technical Expert
Panel members believed that these
procedures represented a distinct
clinical risk group and should therefore
be excluded from the measure. As
discussed in the proposed rule (80 FR
41278), THA and TKA elective
procedures are commonly performed,
and the associated complication rates
are rare. However, because the rate of
elective THA and TKA procedures
continues to increase, the overall cost of
elective THA and TKA procedure
complications is high. Further, for
patients undergoing elective procedures,
the associated risks are particularly
important to understand and weigh
during their decision-making process.
Current quality improvement measures
for patients undergoing elective THA
and TKA procedures are generally
limited to evidence-based processes of
care. Measurement of patient outcomes,
such as complications, allows for a more
comprehensive view of quality of care,
capturing more complex and critical
aspects of care, such as communication
between providers, prevention of and
response to complications, patient
safety, and coordinated transitions to
the outpatient environment. To date, the
THA/TKA Complications measure (NQF
#1550) and the THA/TKA Readmissions
measure (NQF #1551) are the only
outcomes measures comparing hospital
performance in the care of patients
undergoing elective primary THA/TKA.
For these reasons, we believe that using
a hospital-level risk-adjusted outcome
measure is the fairest way to assess
quality performance for THA and TKA
procedures in the CJR model participant
hospitals. As with other CMS quality
and payment programs and models, we
are constantly monitoring for valid and
reliable measures that could be
considered for the CJR model. We also
may explore the possibility of further
measure development to address the
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inclusion of non-elective THA/TKA
procedures.
Comment: Some commenters
suggested that there should be
adjustment to the quality framework
because the CJR model does not provide
enough time or data to adequately
prepare for the model.
Response: We disagree that there is
inadequate time to prepare for the
model. We note for the HIQR Program
that the THA/TKA Complications
measure (NQF #1550) was finalized in
FY 2012 IPPS/LTCH Final Rule (77 FR
53534) for implementation in FY 2015,
and the THA/TKA Readmissions
measure (NQF #1551) and the most
updated HCAHPS Survey measure (NQF
#0166) were finalized in FY 2014 IPPS/
LTCH final rule (78 FR 50807). We
believe hospitals have received ample
time to identify ways in which to
improve their performance on these
three measures. In proposing these
measures, we specifically considered
how familiar hospitals are with the
proposed measure, knowing that
hospitals will have had enough time to
institute appropriate changes in order to
perform well on these measures.
Final Decision: After consideration of
the public comments, we acknowledge
that the current set of measures are
hospital-centric in order to be consistent
with the goals of this model, one of
which is to encourage collaboration
between providers (for example,
hospitals, PAC facilities, and other types
of providers) in order to achieve better
care with cost savings while holding the
acute care hospitals financially
responsible. We recognize the gaps in
the current measure set relative to other
settings in which patients receive care
post-operatively. However, we believe
that given the current design of the test
model where the hospital is the unit of
analysis, that the proposed measures are
well developed, hospital-level riskadjusted outcome measures that do
address patient experience and
outcomes that are important to patients
like complications and readmissions.
Further, we believe hospitals, in
comparison to other health care
facilities, are more likely to have
resources that will allow them to
appropriately coordinate and manage
care throughout the episode, and
hospital staff members who are already
involved in hospital discharge planning
and PAC recommendations for recovery,
which are key dimensions of high
quality and efficient care for the
episode. For these reasons, we believe it
is appropriate to implement hospitallevel measures. We acknowledge that as
CMS gains more experience with this
model, there may be future
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opportunities to create a more robust set
of quality measures for this model
where we can broaden the scope of
measures to include those applicable to
PAC settings. As with any new
initiative, we will continue to assess the
ever-changing inventory of measures
with the goal to build a more robust set
of measures that support the intent of
this model. We intend to continue to
refine the measure set based on future
public comments, any changes in the
payment methodology that may require
specific measures, and
recommendations from the participating
hospitals as CMS learns more about the
impact of the model on quality
improvement and cost savings.
b. Public Display of Quality Measures in
the CJR Model
In section III.D.5. of the proposed
rule, we stated our belief that the
display of measure results is an
important way to educate the public on
hospital performance and increase the
transparency of the model, and therefore
proposed, for the model, to display
quality measure results on the Hospital
Compare Web site (https://www.hospital
compare.hhs.gov/). We also stated our
belief that the public and hospitals are
familiar with this Web site and the
display of hospital quality measure
information, and also noted that the
public and hospitals are familiar with
the proposed measures, as these
measures have been displayed on the
Hospital Compare Web site over the
past few years. Finally, we indicated our
intent to align the display of quality
measure results and access to this data
for the model with other CMS hospital
quality programs by proposing to post
model quality measure results and data
on the Hospital Compare Web site (80
FR 41290).
2. Quality Measures for Performance
Year 1 (CY 2016) and Subsequent Years
a. Hospital-Level Risk-Standardized
Complication Rate (RSCR) Following
Elective Primary Total Hip Arthroplasty
(THA) and/or Total Knee Arthroplasty
(TKA) (NQF #1550)
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(1) Background
As stated in the proposed rule (80 FR
41278 through 41280), THA and TKA
are commonly performed procedures for
the Medicare population that improve
quality of life. We indicated that
between 2009 and 2012, there were
337,419 total hip arthroplasty (THA)
procedures and 750,569 total knee
arthroplasty (TKA) procedures for
Medicare FFS patients 65 years and
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older,57 that the post-operation
complications of these procedures are
high considering these are elective
procedures, and recognized that
complications are devastating to
patients. We highlighted as an example,
the rates for periprosthetic joint
infection, which is a rare but
devastating complication. We indicated
reported rates of 2.3 percent for THA/
TKA patients with rheumatoid arthritis
after 1 year of follow-up,58 and 1.6
percent in Medicare patients undergoing
TKA after 2 years of follow up.59 In the
proposed rule (80 FR 41278), we also
shared complication rates based on
studies reporting on 90-day death rates
following THA,60 61 reported rates for
pulmonary embolism following
TKA,62 63 64 septicemia during an index
admission,65 and 90-days following
discharge for primary TKA,66 and rates
for bleeding and hematoma following
TKA.67 68 For combined THA and TKA
57 Suter L, Grady JL, Lin Z et al.: 2013 Measure
Updates and Specifications: Elective Primary Total
Hip Arthroplasty (THA) And/Or Total Knee
Arthroplasty (TKA) All-Cause Unplanned 30-Day
Risk-Standardized Readmission Measure (Version
2.0). 2013. https://www.cms.gov/Medicare/QualityInitiatives-Patient-Assessment-Instruments/Hospital
QualityInits/Measure-Methodology.html.
58 Bongartz, T, Halligan CS, Osmon D, et al.
Incidence and risk factors of prosthetic joint
infection after total hip or knee replacement in
patients with rheumatoid arthritis. Arthritis Rheum.
2008; 59(12): 1713–1720.
59 Kurtz S, Ong K, Lau E, Bozic K, Berry D, Parvizi
J. Prosthetic joint infection risk after TKA in the
Medicare population. Clin Orthop Relat Res.
2010;468:5.
60 Cram P, Vaughan-Sarrazin MS, Wolf B, Katz JN,
Rosenthal GE. A comparison of total hip and knee
replacement in specialty and general hospitals. J
Bone Joint Surg Am. Aug 2007;89(8):1675–1684.
Soohoo NF, Farng E, Lieberman JR, Chambers L,
Zingmond, DS. Factors That Predict Short-term
Complication Rates After Total Hip Arthroplasty.
Clin Orthop Relat Res. Sep 2010;468(9):2363–2371.
61 Soohoo NF, Farng E, Lieberman JR, Chambers
L, Zingmond DS. Factors that predict short term
complication rates after total hip arthroplasty. Clin
Orthop Relat Res. Sep 2010; 468(9): 2363–2371.
62 Mahomed NN, Barrett JA, Katz JN, et al. Rates
and outcomes of primary and revision total hip
replacement in the United States Medicare
population. J Bone Joint Surg Am. Jan 2003;85–
A(1):27–32.
63 Khatod M, Inacio M, Paxton EW, et al. Knee
replacement: epidemiology, outcomes, and trends
in Southern California: 17,080 replacements from
1995 through 2004. Acta Orthop. Dec
2008;79(6):812–819.
64 Solomon DH, Chibnik LB, Losina E, et al.
Development of a preliminary index that predicts
adverse events after total knee replacement.
Arthritis & Rheumatism. 2006;54(5):1536–1542.
65 Browne, JA, Cook C, Hofmann A, Bolognesi
MP. Postoperative morbidity and mortality
following total knee arthroplasty with computer
navigation. Knee. 2010;17(2): 152–156.
66 Cram P, Vaughan-Sarrazin MS, Wolf B, Katz JN,
Rosenthal GE. A comparison of total hip and knee
replacement in specialty and general hospitals. J
Bone Joint Surg Am. Aug 2007;89(8):1675–1684.
67 Browne, JA, Cook C, Hofmann A, Bolognesi
MP. Postoperative morbidity and mortality
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procedures, we also noted in the
proposed rule that these two procedures
account for the largest payments for
procedures under Medicare.69 We
shared our observation that while both
hip and knee arthroplasty procedures
improve the function and quality of life
of patients with disabling arthritis, the
volume and cost associated with these
procedures are very high, and we
believe it is important to assess the
quality of care provided to Medicare
beneficiaries who undergo one or both
of these procedures.
In order to address these concerns and
our reasons for proposing the HospitalLevel Risk-Standardized Complication
Rate (RSCR) Following Elective Primary
Total Hip Arthroplasty (THA) and/or
Total Knee Arthroplasty (TKA) (NQF
#1550) measure, we shared historical
information about this measure
regarding its development,
implementation in CMS programs, and
its public display. Briefly, we indicated
in the proposed rule (80 FR 41278) that
the median hospital-level RSCR 2008
was 4.2 percent, with a range from 2.2
percent to 8.9 percent in hospitals and
that we believe variation in
complication rates suggests that there
are important differences in the quality
of care delivered across hospitals, and
therefore room for quality improvement.
In response to noted 2008 variation in
complication rates, we developed, in
2010, the proposed measure of HospitalLevel RSCR Following Elective Primary
THA and/or TKA, which attained
National Quality Forum endorsement
(NQF #1550) and recommendations
from the NQF Measure Application
Partnership (MAP) for use in the HIQR
Program.70 We also shared in the
proposed rule that this measure has
additionally been implemented in the
HVBP program and that CMS has not
submitted this measure to the NQF MAP
for recommendations on use in the PAC
settings since the measure was
developed for the acute care hospital
setting. Regarding public display of this
measure, we indicated that this measure
has been publicly reported on Hospital
following total knee arthroplasty with computer
navigation. Knee. 2010;17(2): 152–156.
68 Huddleston JI, Maloney WJ, Wang Y, Verzier N,
Hunt DR, Herndon JH. Adverse Events After Total
Knee Arthroplasty: A National Medicare Study. The
Journal of Arthroplasty. 2009;24(6, Supplement 1):
95–100.
69 Bozic KJ, Rubash HE, Sculco TP, Berry DJ., An
analysis of Medicare payment policy for total joint
arthroplasty. J Arthroplasty. Sep 2008; 23(6 Suppl
1):133–138.
70 National Quality Forum. MAP Final Reports.
Available at: https://www.qualityforum.org/
Publications/2012/02/MAP_Pre-Rulemaking_
Report_Input_on_Measures_Under_Consideration_
by_HHS_for_2012_Rulemaking.aspx . Accessed on
April 1 6, 2015, page 78.
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Compare Web site (https://
www.hospitalcompare.hhs.gov/) since
FY 2014 and in the HIQR Program since
FY 2015 (FY 2015 IPPS/LTCH final rule,
79 FR 50062).
Finally, in the proposed rule we
explained what the measure assesses,
which is a hospital’s risk standardized
complication rate. We also specifically
shared that the measure focuses on the
rate of complications occurring 90 days
after elective primary THA and TKA
surgery. We explained that the 90-day
period begins with the date of the index
admission for a specific hospital, and
that the index admission is the
hospitalization to which the
complications outcome is attributed. We
also explained that either one or more
of the following are considered
complications in this measure: Acute
myocardial infarction, pneumonia, or
sepsis/septicemia within 7 days of
admission; surgical site bleeding,
pulmonary embolism or death within 30
days of admission; or mechanical
complications, periprosthetic joint
infection or wound infection within 90
days of admission. To highlight more
recent data on THA/TKA procedure
complications, we shared a comparison
of the median hospital-level RSCRs for
hospitals between April 1, 2011 and
March 31, 2014 and noted a that there
continues to be a performance gap
(median RSCR of 3.1 percent with a
range from 1.4 percent to 6.9 percent)
indicating there is still room for quality
improvement.71
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(2) Data Sources
In the proposed rule (80 FR 41279),
we proposed to use Medicare Part A and
Part B FFS claims submitted by the
participant hospital as the data source to
calculate the measure. We also
explained that the index admission
diagnoses and in-hospital comorbidities
are assessed using Medicare Part A
claims, and that additional
comorbidities prior to the index
admission are assessed using Part A
inpatient, outpatient, and Part B office
visit Medicare claims in the 1 to 2
months prior to the index (initial)
admission. Finally, in the proposed
rule, we stated that enrollment and postdischarge mortality status are obtained
from Medicare’s enrollment database
which contains beneficiary
demographic, benefits/coverage, and
vital status information.
71 Suter L, Zang W, Parzynski C, et al. 2015
Procedure-Specific Complication Measures Update
and Specifications: Elective Primary Total Hip
Arthroplasty (THA) and/or Total Knee Arthroplasty
(TKA) Risk-Standardized Complication Measure
(Version 4.0). 2015.
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(3) Cohort
In the proposed rule (80 FR 41279),
we proposed that the cohort for the
THA/TKA Complications measure (NQF
#1550) would include Medicare FFS
beneficiaries, aged 65 years or older,
admitted to non-federal acute care
hospitals for elective primary THA or
TKA. We explained that THA and TKA
procedures eligible for inclusion are
defined using ICD–9–CM codes 81.51
and 81.54, respectively. We also
proposed that the cohort would include
all hospitals included in the model, but
also noted the model cohort may differ
slightly from the hospital cohort that is
currently captured in the measures
through the HIQR Program. We noted
this difference because the model cohort
is a randomly selected group of acute
care hospitals and therefore may not
include all of the HIQR Program acute
care hospitals (for a detailed discussion
on selection of hospitals for the model,
see section III.A.4. of the proposed rule).
(4) Inclusion and Exclusion Criteria
We also proposed inclusion and
exclusion criteria (80 FR 41279). We
indicated that an index admission is the
hospitalization to which the
complication outcome is attributed. We
also proposed that the measure include
the following index admissions for
patients:
• Enrolled in Medicare FFS.
• Aged 65 or over.
• Enrolled in Part A and Part B
Medicare for the 12 months prior to the
date of index admission and during the
index admission.
• Having a qualifying elective
primary THA/TKA procedure; elective
primary THA/TKA procedures are
defined as those procedures without any
of the following:
++ Femur, hip, or pelvic fractures
coded in principal or secondary
discharge diagnosis fields of the index
admission.
++ PHA procedures with a concurrent
THA/TKA.
++ Revision procedures with a
concurrent THA/TKA.
++ Resurfacing procedures with a
concurrent THA/TKA.
++ Mechanical complication coded in
the principal discharge diagnosis field.
++ Malignant neoplasm of the pelvis,
sacrum, coccyx, lower limbs, or bone/
bone marrow or a disseminated
malignant neoplasm coded in the
principal discharge diagnosis field.
++ Removal of implanted devices/
prostheses.
++ Transfer from another acute care
facility for the THA/TKA.
In the proposed rule, we indicated
that the THA/TKA Complications
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measure (NQF #1550) would exclude
the following admissions:
• Admissions for patients discharged
against medical advice (AMA).
• Admissions for patients with more
than two THA/TKA procedure codes
during the index hospitalization.
• Consistent with the FY 2016 IPPS/
LTCH proposed rule, admissions for
patients without at least 90 days postdischarge enrollment in FFS Medicare;
this exclusion is an update to the
measure signaled in the HIQR Program
section of the FY2016 IPPS/LTCH
proposed rule (80 FR 24572 through
24574) to ensure that disproportionate
Medicare FFS disenrollment does not
bias the measure results.
We further explained in the proposed
rule that once the exclusion criteria
were applied, we randomly select one
index admission for patients with
multiple index admissions in a calendar
year. Therefore, we exclude the other
eligible index admissions in that year.
Identification and use of a single index
admission in a calendar year is done
because this measure includes mortality
as an outcome and the probability of
death increases with each subsequent
admission, preventing each episode of
care from being mutually independent.
Therefore only one index admission is
selected to maintain measure integrity.
In the proposed rule, we also noted
that THA/TKA Complications measure
(NQF #1550) does not capture patients
undergoing PHA procedures. We
explained why we exclude PHA
procedures, and this is primarily
because PHA procedures are done for
hip fractures and therefore are not
elective procedures. We also shared that
PHA procedures are typically performed
on patients who are older, frailer, and
have more comorbid conditions. We
noted that although this exclusion is not
fully harmonized with MS–DRG 469
and 470, which include PHA
procedures, this measure still provides
strong incentive for improving and
maintaining care quality across joint
replacement patients as hospitals
typically develop protocols for lower
extremity joint arthroplasty that will
address perioperative and postoperative care for both total and PHA
procedures. As previously cited in our
discussion of the Episode Definition of
the model (80 FR 41212 through 41219),
the frequency of administrative claims
data using ICD–9 codes for 2014
indicated that PHA (ICD–9 code: 81.52)
accounted for 12 percent of the
administrative claims, while Total Hip
replacement (ICD–9 code: 81.51) and
Total Knee replacement (ICD–9 code:
81.54) accounted for 87 percent of the
administrative claims for 2014. We also
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noted that the same surgeons and care
teams frequently perform both
procedures, and therefore quality
improvement efforts initiated in
response to the THA/TKA
Complications measure (NQF #1550) are
likely to benefit patients undergoing
similar elective procedures, such as
PHA and revision THA/TKA
procedures, and possibly even nonelective THA/TKA procedures, such as
fracture-related THA.
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(5) Risk-Adjustment
We note that we chose to align this
measure with the risk-adjustment
methodologies adopted for the HIQR
Program and the HRRP in accordance
with section 1886(b)(3)(B)(viii)(VIII) of
the Act (FY 2013 IPPS/LTCH final rule
77 FR 53516 through 53518 and FY
2015 IPPS/LTCH final rule; 79 FR
50024, 50031, and 50202). We also
indicated in the proposed rule (80 FR
41279) that the risk-adjustment takes
into account the patient case-mix to
assess hospital performance. The patient
risk factors are defined using the
Hierarchical Condition Categories (CC),
which are clinically relevant diagnostic
groups of ICD–9–CM codes.72 The CCs
used in the risk adjustment model for
this measure, are provided on the CMS
QualityNet Web site (https://www.
qualitynet.org/dcs/ContentServer?c=
Page&pagename=QnetPublic
%2FPage%2FQnetTier4&cid=
1228772783162). We noted that the
measure uses all Part A and B
administrative claims ICD–9 codes for
the year prior to and including the
index admission. The Part A and B
administrative claims ICD–9 codes are
used to inform the risk prediction for
each patient; diagnostic codes from PAC
settings are included in the measure, but
this information is only used to identify
a hospital’s patient case mix in order to
adequately adjust for differences in case
mix across hospitals. Furthermore, we
stated that use of the Part A and B data
does not mean the measures are
applicable to PAC settings, only that
they use comprehensive data to predict
the risk of the outcome and adjust for
hospital patient case mix. The measure
would meet the requirement if it
applied, because risk-adjustment adjusts
for hospital patient mix, including age
and comorbidities, to ensure that
hospitals that care for a less healthy
patient population are not penalized
unfairly. In addition, we indicated that
the measure methodology defines
72 Pope G, Ellis R, Ash A, et al., Principal
Inpatient Diagnostic Cost Group Models for
Medicare Risk Adjustment. Health Care Financing
Review. 2000;21(3):26.
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’’complications’’ as acute myocardial
infarction (AMI); pneumonia; sepsis/
septicemia; pulmonary embolism;
surgical site bleeding; death; wound
infection; periprosthetic joint infection;
and mechanical complication within 0
to 90-days post the index date of
admission, depending on the
complication. We explained that the
decision to determine appropriate
follow-up period of 0 to 90 days was
based on our analysis of 90-day trends
in complication rates using the 2008
Medicare FFS Part A Inpatient Data. We
found that rates for mechanical
complications are elevated until 90 days
after the date of index admission. We
also found that the rates for four other
complications—death, surgical site
bleeding, wound infection, and
pulmonary embolism—are elevated for
30 days, and that rates for AMI,
pneumonia, and sepsis/septicemia level
off 7 days after the date of index
admission.
(6) Calculating the Risk-Standardized
Complication Rate (RSCR) and
Performance Period
In the proposed rule (80 FR 41280),
we shared that analogous to how we
calculate hospital risk-standardized
readmission rates with all readmission
measures and risk-standardized
mortality rates with the mortality
measures used in CMS hospital quality
programs, we also calculate the hospital
RSCR by producing a ratio of the
number of ’’predicted’’ complications
(that is, the adjusted number of
complications at a specific hospital
based on its patient population) to the
number of ’’expected’’ complications
(that is, the number of complications if
an average quality hospital treated the
same patients) for each hospital and
then multiplying the ratio by the
national raw complication rate. As
noted in the proposed rule, the THA/
TKA Readmissions measure (NQF
#1551) uses a 30-day window of followup, which is different from the 90-day
window of follow-up used in the THA/
TKA Complications measure (NQF
#1550).
We also indicated that we would use
a 3-year rolling performance period to
be consistent with that used for the
measure as it is implemented in the
HIQR Program (FY 2015 IPPS/LTCH
final rule, 79 FR 50208 and 50209). For
performance year 1 of the model, we
proposed that the performance period
for the THA/TKA Complications
measure (NQF #1550) would be April
2013 through March 2016. Section
III.D.4. of this final rule summarizes
performance periods for years 1 through
5 of the CJR model.
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73475
We sought public comment on this
proposal to assess quality performance
through implementation of the Hospitallevel risk-standardized complication
rate (RSCR) following elective primary
total hip arthroplasty (THA) and/or total
knee arthroplasty (TKA) (NQF #1550)
measure.
The following is a summary of the
comments received and our responses.
Comment: A few commenters
supported CMS’s payment reform efforts
and specifically focused on the need to
improve complication rates through
improvement of wound healing. They
supported the use of the THA/TKA
Complications measure (NQF #1550) as
a means to change behavior and reduce
complications.
Response: We thank these
commenters for their support of
payment reform and our efforts to
reduce complications through the THA/
TKA Complications measure (NQF
#1550).
Comment: Commenters questioned
the use of a 90-day episode timeframe
for measuring patient outcomes
following THA/TKA. One of the
commenters specifically questioned the
use of 2008 data to define the 90-day
THA/TKA Complications measure (NQF
#1550) timeframe, noting there may
have been a significant shift in the
occurrence of complications in the past
7 years.
Response: From a quality measure
perspective, we note that the THA/TKA
Complications measure (NQF #1550)
uses different follow-up timeframes, up
to 90 days, to assess different
complications. We noted our rationale
for the 90-day timeframe in the
preamble of the proposed rule (80 FR
41217). Our measure development
contractor consulted a Technical Expert
Panel to review appropriate follow-up
timeframes for each complication.
Clinical experts agreed that the
specified complications are more likely
to be attributable to the index procedure
if they occur within the specified
timeframes. Additionally, we requested
public comments during measure
development, the rulemaking process,
and regular measure maintenance
during NQF and MAP review. We
conduct annual and comprehensive
reevaluation of the measure’s
methodology. We will take the
commenter’s suggestion to evaluate
shifts in the occurrence of
complications into consideration during
the annual measure reevaluation
process.
Comment: A commenter sought
confirmation that CMS has quality
improvement efforts that included the
use of intermittent pneumatic
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compression devices (IPCD) to minimize
medical and surgical complications
during surgery and the postoperative
period.
Response: We appreciate this inquiry
regarding the inclusion of IPCD in CMS
quality improvement efforts. We note
that HIQR Program implemented two of
The Joint Commission’s venous
thromboembolism measures that cover
the use of IPCDs: 1) Venous
thromboembolism prophylaxis measure
1 (VTE–1) (NQF #0371); and 2)
Intensive Care Unit VTE Prophylaxis
(VTE–2) (NQF #0372). We refer
reviewers to FY 2016 IPPS/LTCH final
rule (80 FR 49649) for discussion of use
of these measures in the HIQR Program.
These results are also available on
Hospital Compare (available at: https://
www.medicare.gov/hospitalcompare/
search.html).
Comment: There were many
comments requesting risk-adjustment of
the payment methodology and/or the
risk-adjustment at the measure level for
socio-economic status or sociodemographic status. We noticed the
terms socio-economic status and sociodemographic status were used
interchangeably throughout many of the
public comments. For clarity and
simplicity, we will use sociodemographic status (SDS) to signify
both socio-economic status and sociodemographic status. Some stakeholders
indicated that the SDS of patients
should be taken into account in the
THA/TKA Complications measure (NQF
#1550) and the THA/TKA Readmissions
measure (NQF #1551). These
stakeholders indicated that income
factors such as percentage of dual
eligible patients or Supplemental
Security Income percentage, and family
size or other post-discharge support
measures should be risk adjusted. Some
stakeholders shared their anecdotal data
that demonstrated lower SDS was
associated with poorer patient outcomes
compared to other levels of SDS status.
Response: We continue to align our
policy on SDS risk adjustment at the
measure level across our quality and
payment programs. Consistent with
statements made in the FY 2016 IPPS/
LTCH final rule (80 FR 49531 through
49532) and final rules related to PAC
quality programs (IRF, 80 FR 47088;
LTCH, 80 FR 49731; and SNF, 80 FR
46435), while we appreciate the
importance of the role that SDS plays in
the care of patients, we continue to have
concerns about holding hospitals to
different standards for the outcomes of
their patients of low sociodemographic
status because we do not want to mask
potential disparities or minimize
incentives to improve the outcomes of
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disadvantaged populations. We
routinely monitor the impact of
sociodemographic status on hospitals’
results on our measures. To date, we
have found that hospitals that care for
large proportions of patients of low
sociodemographic status are capable of
performing well on our measures (for
example, we refer readers to the 2014
Chartbook pages 48–57, 70–73, and 78
at https://www.cms.gov/Medicare/
Quality-Initiatives-Patient-AssessmentInstruments/HospitalQualityInits/
Downloads/Medicare-Hospital-QualityChartbook-2014.pdf).
NQF is currently undertaking a twoyear trial period in which new measures
and measures undergoing maintenance
review will be assessed to determine if
risk-adjusting for sociodemographic
factors is appropriate for each measure.
For two years, NQF will conduct a trial
of a temporary policy change that will
allow inclusion of sociodemographic
factors in the risk-adjustment approach
for some performance measures. At the
conclusion of the trial, NQF will
determine whether to make this change
permanent. Measure developers must
submit information such as analyses
and interpretations as well as
performance scores with and without
sociodemographic factors in the risk
adjustment model.
Furthermore, ASPE is conducting
research to examine the impact of
socioeconomic status on quality
measures, resource use, and other
measures under the Medicare program
as directed by the IMPACT Act. We will
closely examine the findings of these
reports and related Secretarial
recommendations and consider how
they apply to our quality programs and
the CJR model at such time as they are
available.
Comment: A commenter expressed
concern that the penalty for the quality
threshold is biased against low-volume
hospitals. The commenter stated that
one or two readmissions or
complications at a low-volume hospital
would have a larger impact on the
quality threshold, which would make it
more difficult for to become eligible for
incentive payments.
Response: We appreciate the
commenter’s concern, and note that we
adopted a risk adjustment modeling
methodology that takes into account
volume. We acknowledge that smaller
hospitals typically have less certain
estimates because they have fewer cases
for use in assessing quality. Our
approach to modeling addresses the
concern that the measures are biased
against small hospitals due to random
variation, and this challenge is inherent
in outcome measurements. However,
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one advantage of the statistical model
used for the measures is that it allows
for the inclusion of small hospitals
while characterizing the certainty of
their estimates. The hierarchical logistic
regression model that we use to
calculate the risk-standardized measures
allows the inclusion of hospitals with
relatively few observations, but takes
into account the uncertainty associated
with sample size in estimating their
risk-standardized outcome rates. The
model takes into account the
uncertainty in the estimate of outcome
rates for low-volume hospitals by
assuming that each hospital is a
typically performing hospital. It weighs
that assumption along with the
outcomes for the particular hospital in
calculating the outcome rate. Therefore,
the estimated outcome rates for smaller
hospitals will likely be closer to the
national average because the limited
number of eligible cases in the hospital
indicated relatively little about that
hospital’s true outcome rate.
Comment: A commenter
recommended that CMS incorporate
pre-operative global physical function,
BMI, smoking status, musculoskeletal
comorbidities and Charlson comorbidity
index into the existing THA/TKA
Complications (NQF #1550) and
Readmissions (NQF #1551) measures’
risk models.
Response: In addition to risk adjusting
for multiple comorbid medical
conditions, these measures currently
risk adjust for ICD–9–CM codes 278.01
Morbid Obesity, 755.63 Skeletal
Deformities and 716.15/716.16 PostTraumatic Osteoarthritis, as well as a
large number of other musculoskeletal
conditions. We undertake a
comprehensive measure reevaluation of
our existing publicly reported outcome
measures each year. Currently, these
measures utilize administrative claims
data for risk adjustment. When
additional risk factor data sources
become widely available, we will take
these recommendations under
advisement for incorporation into future
iterations of these measures through
rulemaking.
Final Decision: After consideration of
the public comments we received, we
are finalizing and adopting the THA/
TKA Complications measure (NQF
#1550) as proposed. Regarding the
requests for socio-demographic riskadjustment at the measure level, we will
not be risk-adjusting the CJR model
measures for socio-demographic
variables at this time. As previously
noted, we await further information
from ASPE’s research and
recommendations. Finally, we are
codifying adoption of the Hospital-Level
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Risk-Standardized Complication Rate
(RSCR) Following Elective Primary
Total Hip Arthroplasty (THA) and/or
Total Knee Arthroplasty (TKA) (NQF
#1550) in § 510.400(a)(1).
b. Hospital-Level 30-Day, All-Cause
Risk-Standardized Readmission Rate
(RSRR) Following Elective Primary
Total Hip Arthroplasty (THA) and/or
Total Knee Arthroplasty (TKA) (NQF
#1551)
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(1) Background
In the proposed rule (80 FR 41280),
we stated that the objective of CMS’s
Hospital-level 30-day, all-cause riskstandardized readmission rate (RSRR)
following elective primary total hip
arthroplasty (THA) and/or total knee
arthroplasty (TKA) (NQF #1551) (as
referred to as THA/TKA Readmissions
measure (NQF #1551)) measure is to
assess readmission from any cause
within 30 days of discharge from the
hospital following elective primary THA
and TKA. As previously stated, outcome
measures such as complications and
readmissions are the priority areas for
the HIQR Program, and elective primary
THA and TKA are commonly performed
procedures that improve quality of life.
We also stated our belief that THA and
TKA readmissions are disruptive to
patients’ quality of life, costly to the
Medicare program, and that data
support that readmission rates can be
improved through better care
coordination and other provider
actions.73 Furthermore, we stated our
belief that there is an opportunity for
hospitals to improve quality of life for
the patient. We shared in the proposed
rule that from July 1, 2011 to June 30,
2014, Medicare FFS claims data indicate
that 30-day hospital-level riskstandardized readmission rates ranged
from 2.6 percent to 8.5 percent among
hospitals with a median rate of 4.8
percent with a mean risk-standardized
readmission rate of 4.9 percent.74 This
range in variation suggests there are
important differences in the quality of
care received across hospitals, and that
there is room for improvement. We
shared our belief that a measure that
73 Mistiaen P, Francke AL, Poot E. Interventions
aimed at reducing problems in adult patients
discharged from hospital to home: A systematic
meta-review. BMC Health Services Research.
2007;7:47.
74 Suter L, Desai N, Zang W, et al. 2015
Procedure-Specific Readmission Measures Updates
and Specifications Report: Elective Primary Total
Hip Arthroplasty (THA) and/or Total Knee
Arthroplasty (TKA) Risk-Standardized Readmission
Measure (Version 4.0), Isolated Coronary Artery
Bypass Graft (CABG) Surgery—Version 2.0. 2015;
https://www.cms.gov/Medicare/Quality-InitiativesPatient-Assessment-Instruments/
HospitalQualityInits/Measure-Methodology.html.
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addresses readmission rates following
THA and TKA procedures not only
provides an opportunity to provide
targets for efforts to improve the quality
of care and reduction in costs for
patients undergoing these elective
procedures, but also increases
transparency for consumers and
provides patients with information that
could guide their choices. We indicated
our belief that a risk-adjusted
readmission outcome measure can
provide a critical perspective on the
provision of care, and supports
improvements in care for the Medicare
patient population following THA/TKA
hospitalization. In the proposed rule, we
provided historical background on the
THA/TKA Readmissions measure (NQF
#1551), indicating that the measure has
wide stakeholder support, with NQF
endorsement in January 2012, and
recommendations by the NQF MAP for
use in the HIQR Program (2012 PreRulemaking report 19), and in the HRRP
(2013 Pre-Rulemaking report).75 Finally,
we shared that the THA/TKA
Readmissions Measure (NQF #1551) has
been publicly reported since FY 2014
(79 FR 50062), and was implemented in
both the HIQR Program (77 FR 53519
through 53521) and HRRP (78 FR 50663
and 50664).
(2) Data Sources
In the proposed rule (80 FR 41280),
we proposed to use Medicare Part A and
Part B FFS claims submitted by the
participant hospital as the data source
for calculation of the THA/TKA
Readmissions measure (NQF #1551). We
stated that index admission diagnoses
and in-hospital comorbidity data are
assessed using Medicare Part A claims
and that additional comorbidities prior
to the index admission are assessed
using Part A inpatient, outpatient, and
Part B office visit Medicare claims in the
12 months prior to index (initial)
admission. We shared that enrollment
status is obtained from Medicare’s
enrollment database which contains
beneficiary demographic, benefit/
coverage, and vital status information.
(3) Cohort
In the proposed rule (80 FR 41281),
we indicated that THA/TKA
Readmissions measure (NQF #1551)
includes Medicare FFS beneficiaries,
aged 65 years or older, admitted to nonfederal acute care hospitals for elective
primary THA or TKA. We explained
that the THA and TKA procedures
75 National Quality Forum. MAP Final Reports.
Available at: https://www.qualityforum.org/
Publications/2013/02/MAP_Pre-Rulemaking_
Report_-__-_February_2013.aspx. Accessed on April
16, 2015, page 143.
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eligible for inclusion are defined using
ICD–9–CM codes 81.51 and 81.54,
respectively, and proposed that the
cohort will include all hospitals
included in the model, but the model
cohort may differ slightly from the
hospital cohort that is currently
captured in the measures through the
HIQR Program. That is, the model
cohort is a randomly selected group of
acute care hospitals and therefore may
not include all of the HIQR Program
acute care hospitals (for a detailed
discussion on selection of hospitals for
the model see section III.A. of the
proposed rule).
(4) Inclusion and Exclusion Criteria
In the proposed rule (80 FR 41281),
we proposed that an index admission is
the anchor hospitalization to which the
readmission outcome is attributed. The
measure includes the following index
admissions for patients:
• Enrolled in Medicare FFS.
• Aged 65 or over.
• Discharged from non-federal acute
care hospitals alive.
• Enrolled in Medicare Part A and
Part B for the 12 months prior to the
date of index admission and during the
index admission.
• Having a qualifying elective
primary THA/TKA procedure; elective
primary THA/TKA procedures are
defined as those procedures without any
of the following:
++ Femur, hip, or pelvic fractures
coded in principal or secondary
discharge diagnosis fields of the index
admission.
++ PHA procedures with a concurrent
THA/TKA.
++ Revision procedures with a
concurrent THA/TKA.
++ Resurfacing procedures with a
concurrent THA/TKA.
++ Mechanical complication coded in
the principal discharge diagnosis field.
++ Malignant neoplasm of the pelvis,
sacrum, coccyx, lower limbs, or bone/
bone marrow or a disseminated
malignant neoplasm coded in the
principal discharge diagnosis field.
++ Removal of implanted devices/
prostheses.
++ Transfer from another acute care
facility for the THA/TKA.
• This measure excludes index
admissions for patients—
++ Without at least 30 days postdischarge enrollment in FFS Medicare;
++ Discharged against medical advice
(AMA);
++ Admitted for the index procedure
and subsequently transferred to another
acute care facility; and
++ With more than two THA/TKA
procedure codes during the index
hospitalization.
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Finally, we also indicated that for the
purpose of this measure, admissions
within 30 days of discharge from an
index admission are not eligible to also
be index admissions. Thus, no
hospitalization will be counted as both
a readmission and an index admission
in this measure.
In the proposed rule, we also stated
that this measure does not capture
patients undergoing PHA procedures, as
partial hip arthroplasties are primarily
done for hip fractures and are typically
performed on patients who are older,
frailer, and have more comorbid
conditions. We also shared that
although this exclusion is not fully
harmonized with MS–DRG 469 and 470,
which include PHA procedures, this
measure would still provide strong
incentive for improving and
maintaining care quality across joint
replacement patients. We shared our
belief that the THA/TKA Readmissions
measure (NQF #1551) provides strong
incentive for quality improvement
because hospitals typically develop
protocols for lower extremity joint
arthroplasty that will address
perioperative and post-operative care for
both total and partial hip arthroplasties,
and the same surgeons and care teams
frequently perform both procedures.
Therefore, quality improvement efforts
initiated in response to the THA/TKA
Readmissions measure (NQF #1551) are
likely to benefit patients undergoing
similar elective procedures, such as
PHA and revision THA/TKA
procedures, and possibly even nonelective THA/TKA procedures, such as
fracture-related THA.
(5) Risk-Adjustment
In the proposed rule (80 FR 41281),
we noted that we chose to align this
measure with the risk-adjustment
methodologies adopted for
Readmissions measure (NQF #1551)
under the HIQR Program in accordance
with section 1886(b)(3)(B)(viii)(VIII) of
the Act, as finalized in FY 2013 IPPS/
LTCH PPS final rule (77 FR 53519
through 53521). We also noted that the
measure risk-adjustment takes into
account patient age and comorbidities to
allow a fair assessment of hospital
performance. Further, we noted that the
measure defines the patient risk factors
for readmission using diagnosis codes
collected from all patient claims 1 year
prior to patient index hospitalization for
THA and TKA. We also indicated that
as previously noted for the THA/TKA
Complications measure (NQF #1550),
Parts A and B administrative claims
ICD–9 codes are used to inform the risk
prediction for each patient; diagnostic
codes from PAC settings are included in
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the measure, but this information is
only used to identify a hospital’s patient
case mix in order to adequately adjust
for differences in case mix across
hospitals. We stated that use of the Part
A and B data does not mean the
measures are applicable to PAC settings,
only that they use comprehensive data
to predict the risk of the outcome and
adjust for hospital patient case mix. We
noted that the patient diagnosis codes
are grouped using Hierarchical
Condition Categories (CCs), which are
clinically relevant diagnostic groups of
ICD–9–CM codes.76 The CCs used in the
risk adjustment model for this measure,
are provided on the CMS QualityNet
Web site (https://www.qualitynet.org/
dcs/ContentServer?c=Page&pagename=
QnetPublic%2FPage%2FQnetTier4&
cid=1219069856694). We concluded
with the summary that age and
comorbidities present at the time of
admission are adjusted for differences in
hospital case mix (patient risk factors),
and that the measure uses the
hierarchical logistic regression model
(HLM) statistical methodology for risk
adjustment.
(6) Calculating the Risk-Standardized
Readmission Rate and Performance
Period
In the proposed rule (80 FR 41281),
we proposed to calculate hospital riskstandardized readmission rates
consistent with the methodology used to
risk standardize all readmission
measures and mortality measures used
in CMS hospital quality programs. We
stated that using HLM, we calculate the
hospital-level elective primary THA/
TKA risk-standardized readmission rate
by producing a ratio of the number of
‘‘predicted’’ readmissions (that is, the
adjusted number of readmissions at a
specific hospital) to the number of
‘‘expected’’ readmissions (that is, the
number of readmissions if an average
quality hospital treated the same
patients) for each hospital and then
multiplying the ratio by the national
raw readmission rate. We also indicated
that use of the 3-year rolling
performance period would be consistent
with that used for the HIQR Program
(FY 2015 IPPS/LTCH final rule 79 FR
50208 and 50209). For performance year
one of the model, we proposed that the
performance period for the THA/TKA
Readmissions measure (NQF #1551)
would be July 2013 through June 2016.
As noted in the proposed rule for the
section on the THA/TKA Complications
76 Pope G, Ellis R, Ash A, et al., Principal
Inpatient Diagnostic Cost Group Models for
Medicare Risk Adjustment. Health Care Financing
Review. 2000; 21(3):26.
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measure (NQF #1550), there is a 90-day
window of follow-up, which is different
from the THA/TKA Readmissions
measure (NQF #1551). Section III.D.4. of
this final rule summarizes performance
periods for years 1 through 5 of the
model years.
We invited public comments on this
proposal to include Hospital-level 30day, all-cause risk-standardized
readmission rate (RSRR) following
elective primary total hip arthroplasty
(THA) and/or total knee arthroplasty
(TKA) (NQF #1551) or both in the model
to assess quality performance. We also
invited public comment on inclusion of
other potential quality measures in the
model.
The following is a summary of the
comments received and our responses.
Comment: A commenter noted the
variation in 30-day readmission rates
(80 FR 41280) and stated that the
variation may not only be due to
differences in quality of care, but also
patient age, comorbid conditions, and
geographic location.
Response: We appreciate the
commenter’s input. We note that the
THA/TKA Readmissions measure (NQF
#1551) risk adjusts for patients’ risk
factors, including age and comorbid
conditions, thereby taking into account
case mix differences across providers.
Adjusting for case mix is an important
aspect for measuring a RSRR that
accurately reflects factors that can
confound an outcome rate when not
adequately adjusted. The goal of risk
adjustment for this measure is to
account for patient and procedure
characteristics and comorbid conditions
that are clinically relevant and have
strong relationships with readmission,
while illuminating important quality
differences between hospitals. The
measure does not adjust for geographic
location because location is associated
with the different care patterns than
those the measure seeks to illuminate.
Comment: A commenter sought
clarification regarding the readmission
exclusions described in section
III.D.2.b.(4). of this final rule for the CJR
model episode definition. The
commenter stated that they were
unclear on the rationale that CMS used
to determine that all medical MS–DRGs
for readmission be included in the
episodes as related services with the
exception of oncology and trauma
medical MS–DRGs.
Response: We note that there are two
separate discussions about readmissions
in the CJR model proposed rule found
in sections III.B. and III.D. of this final
rule, in which the episode definition
and the THA/TKA Readmissions
measure (NQF #1551) are, respectively,
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discussed in detail. In section III.B. of
the proposed rule, the discussion of the
Episode Definition and its related
services describes the services included
and excluded in an episode of care for
this model (80 FR 41213 through
41215). We note that section III.B.2.b. of
this final rule is specific to the
discussion of readmission exclusions
related to the oncology and trauma MS–
DRGs. In section III.D. of the proposed
rule, we detailed the measure
specifications of the THA/TKA
Readmissions measure (NQF #1551). We
note, from the measure perspective, two
important aspects of what is included or
excluded from the measure: (1) The
THA/TKA Readmissions measure (NQF
#1551) does count all unplanned
readmissions, including those related to
trauma since a trauma patient is not
considered a planned readmission; and
(2) the THA/TKA Readmissions
measure (NQF #1551) is designed to
capture readmissions that arise from
acute clinical events requiring urgent
readmission within 30 days of
discharge. These two important aspects
of the measure exist because we use allcause unplanned readmission for
several reasons. First, from the patient
perspective, readmission for any cause
is a key concern. Second, limiting the
measure to THA/TKA-related
readmissions may make it susceptible to
gaming. Moreover, it is often hard to
exclude quality issues and
accountability based on the documented
cause of readmission. For example, a
THA/TKA patient who develops a
hospital-acquired infection may
ultimately be readmitted for sepsis. It
would be inappropriate to treat this
readmission as unrelated to the care the
patient received during their admission
for a THA/TKA procedure. Finally,
while the measure does not presume
that each readmission is preventable,
appropriate interventions have generally
shown reductions in all-cause
readmission. Examples of appropriate
interventions include, but are not
limited to, adherence to clinical
guidelines to prevent hospitals-acquired
infections and surgical complications,
as well as coordination of follow-up
care at the time of discharge, patient
education regarding the dosing and
purpose of their medications, and
ensuring appropriate follow-up.
Planned readmissions, which are
generally not a signal of quality of care,
are not counted in the measure
outcome. The measure uses CMS’s
Planned Readmission Algorithm
Version 3.0—THA/TKA Population to
define planned readmissions for
exclusion from the measure outcome.
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Therefore, from a measure perspective,
oncology patients who are readmitted to
receive maintenance chemotherapy are
not counted as being readmitted by the
algorithm and are therefore not
considered readmissions in the 30-day
all cause THA/TKA RSRR measure. As
previously stated, a trauma patient is
not considered a planned readmission
and will be counted in the measure
outcome for the reasons stated
previously.
Comment: We received a comment
from the MedPAC with which many
other commenters cited and with which
they expressed agreement. The
commenters encouraged CMS not to use
the THA/TKA Readmissions measure
(NQF #1551) in more than one payment
program. A few of the commenters also
recommended to not use the HCAHPS
Survey measure (NQF #0166) in two
payment programs. Some commenters
made suggestions to remove the THA/
TKA Readmissions measure (NQF
#1551) from the Hospital Readmission
Reduction Program or the HCAHPS
Survey measure (NQF #0166) from the
Hospital Value-Based Purchasing
program if these measures were
implemented in the CJR model.
Response: We acknowledge the
request of many commenters to remove
the THA/TKA Readmissions measure
(NQF #1551) from the CJR model due to
the incentives, already in place by the
HRRP, for hospitals to lower excess
readmission rates. Upon further
consideration of the quality measure set
proposed for use in the CJR model, and
to be responsive to stakeholder
concerns, we have decided not to
finalize inclusion of the THA/TKA
Readmissions measure (NQF #1551) for
the CJR model. We believe that
finalizing the THA/TKA Complications
measure (NQF #1550) and the HCAHPS
Survey measure (NQF #0166) effectively
supports the intent of the CJR model to
decrease cost while ensuring that
quality of care for LEJR episodes is
maintained or improved. We note that
the THA/TKA Complications measure
(NQF #1550) focuses on primary
elective THA and TKA procedure cases
that will help to provide necessary
information about quality performance
for patients and providers considering
an elective procedure and that the
HCAHPS Survey measure (NQF #0166)
will help provide important information
about patient experience during
hospitalizations. We still consider THA/
TKA Readmissions measure rates to be
an important metric for providing
information about hospital performance,
and while we did not propose any
changes to the HIQR Program or HRRP,
we note that we will continue to use the
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73479
THA/TKA Readmissions measure (NQF
#1551) in the HIQR Program and HRRP
for public reporting and payment
purposes. We note that there is still
room for hospitals to improve on this
measure based on the previously
discussed distribution of hospital
measure results in the proposed rule (80
FR 41280 section III.D.2.b.(1)).
With respect to some commenters’
concerns regarding the overlap of the
measures chosen for the CJR model with
measures used in other Medicare
payment programs, we acknowledge
that there is some overlap in quality
measures between the CJR model and
the HVBP program and HRRP. While we
are aware that commenters object to the
possibility of scoring hospitals on
certain measures under more than one
program or model, we note that the
measures we are finalizing for the CJR
model cover topics of critical
importance to quality improvement for
THA/TKA patients, namely, postsurgical complications and patient
experience during hospitalizations, as
well as the CJR model’s broader goals of
improving care coordination while
lowering costs. In light of the CJR
model’s goals, we believe it is
appropriate to provide strong incentives
for hospitals to improve these aspects of
patient care quality by using the
finalized measures under more than one
program or model.
We also note that the CJR model is
separate and distinct from the HVBP
program and HRRP, which have
different purposes and policy goals. The
CJR model aims to improve the care
experience of Medicare patients who
receive joint replacements by focusing
on coordinated, patient-centered care
while also lowering costs. On the other
hand, the HVBP Program is an incentive
program that redistributes a portion of
the Medicare payments made to
hospitals based on their performance on
various measures. HRRP is an incentive
program that links Medicare payments
to hospitals based on their performance
on readmission measures compared to
the national rate for excess
readmissions. Therefore, although the
measures finalized for the CJR model
exist in more than one program, the
measures are used and calculated for
distinct purposes. Accordingly, we
believe that the critical importance of
these measures to THA/TKA patient
safety and experience warrant their
inclusion in more than one program. We
will monitor the use of the THA/TKA
Complications measure (NQF #1550)
and the HCAHPS Survey measure (NQF
#0166) in the CJR model, including any
unintended consequences of having a
measure in more than one program, and
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will revise the measure set in one or
more programs if needed through
rulemaking. We will not be finalizing
the THA/TKA Readmissions measure
(NQF #1551) in the CJR model.
Final Decision: After consideration of
the many public comments received on
the proposal to adopt the THA/TKA
Readmissions measures (NQF #1551) for
the CJR model, we are not finalizing the
THA/TKA Readmissions measure (NQF
#1551) for the CJR model for the reasons
discussed in this section.
c. Hospital Consumer Assessment of
Healthcare Providers and Systems
(HCAHPS) Survey (NQF #0166)
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(1) Background
In the proposed rule (80 FR 41282),
we proposed to adopt the HCAHPS
Survey (NQF #0166) measure. We
indicated that the HCAHPS Survey
measure (NQF #0166) is a CMS survey
and a national, standardized, publicly
reported survey of patients’ experience
of hospital care, and that CMS is the
measure steward. We also shared that
the HCAHPS Survey measure is
endorsed by the NQF (#0166), and
stated that the HCAHPS survey (NQF
#0166), also known as CAHPS® Hospital
Survey, is a survey instrument and data
collection methodology for measuring
patients’ perceptions of their hospital
experience. We explained how the
HCAHPS survey asks recently
discharged patients 32 questions about
aspects of their hospital experience that
they are uniquely suited to address,
where the core of the survey contains 21
items that ask ‘‘how often’’ or whether
patients experienced a critical aspect of
hospital care. We also indicated that the
survey also includes four items to direct
patients to relevant questions, five items
to adjust for the mix of patients across
hospitals, and two items that support
Congressionally-mandated reports (see
77 FR 53513 through 53515).
In the proposed rule, we noted that
eleven HCAHPS measures (seven
composite measures, two individual
items and two global items) are
currently publicly reported on the
Hospital Compare Web site (https://
www.hospitalcompare.hhs.gov/) for
each hospital participating in the HIQR
Program (see 79 FR 50259.) Each of the
seven currently reported composite
measures is constructed from two or
three survey questions. The seven
composites summarize the following:
• How well doctors communicate
with patients.
• How well nurses communicate with
patients.
• How responsive hospital staff are to
patients’ needs.
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• How well hospital staff helps
patients manage pain.
• How well the staff communicates
with patients about medicines.
• Whether key information is
provided at discharge.
• How well the patient was prepared
for the transition to post-hospital care.
Lastly, the two individual items
address the cleanliness and quietness of
patients’ rooms, while the two global
items report patients’ overall rating of
the hospital, and whether they would
recommend the hospital to family and
friends. We proposed to adopt a
measure in the model that uses
HCAHPS survey data to assess quality
performance and capture patient
experience of care.
(2) Data Sources
In the proposed rule (80 FR 41282),
we explained that the HCAHPS survey
is administered to a random sample of
adult inpatients between 48 hours and
6 weeks after discharge. As discussed in
section III.D.5. of the proposed rule, we
noted the following: (1) The HCAHPS
survey data is collected on inpatient
experience, is not limited to Medicare
beneficiaries, and does not distinguish
between types of Medicare beneficiaries;
(2) patients admitted in the medical,
surgical and maternity care service lines
are eligible for the survey; the survey is
not restricted to Medicare beneficiaries;
(3) hospitals may use an approved
survey vendor, or collect their own
HCAHPS data (if approved by CMS to
do so) (for a detailed discussion, see 79
FR 50259); and (4) to accommodate
hospitals, the HCAHPS survey can be
implemented using one of the following
four different survey modes:
• Mail.
• Telephone.
• Mail with telephone follow-up.
• Active Interactive Voice
Recognition (IVR).
We also noted that regardless of the
mode used, hospitals are required to
make multiple attempts to contact
patients, and that hospitals may use the
HCAHPS survey alone, or include
additional questions after the 21 core
items discussed previously. We also
indicated the timeframes (that is,
surveying must begin from 48 hours to
42 days following hospital discharge)
and number of patients that hospitals
must survey patients monthly
throughout the year (80 FR 41282 in
section III.D.2.c.(2) and III.D.2.c.(3) of
the proposed rule), and that hospitals
participating in the HIQR Program must
target at least 300 completed surveys
over 4 calendar quarters in order to
attain the reliability criterion CMS has
set for publicly reported HCAHPS
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scores (see 79 FR 50259). Finally we
noted that the survey itself and the
protocols for sampling, data collection,
coding, and file submission can be
found in the current HCAHPS Quality
Assurance Guidelines manual, available
on the HCAHPS Web site located at:
https://www.hcahpsonline.org. (The
HCAHPS survey is available in several
languages, and all official translations of
the HCAHPS survey instrument are
available in the current HCAHPS
Quality Assurance Guidelines at https://
www.hcahpsonline.org/
qaguidelines.aspx.)
(3) Cohort
In the proposed rule (80 FR 41282),
we noted that hospitals, or their survey
vendors, submit HCAHPS data in
calendar quarters (3 months). Consistent
with other quality reporting programs,
we proposed that HCAHPS scores
would be publicly reported on the
Hospital Compare Web site (https://
www.hospitalcompare.hhs.gov/) based
on 4 consecutive quarters of data. For
each public reporting, the oldest quarter
of data is rolled off, and the newest
quarter is rolled on (see 79 FR 50259).
(4) Inclusion and Exclusion Criteria
In the proposed rule (80 FR 41282),
we stated that the HCAHPS survey is
broadly intended for patients of all
payer types who meet the following
criteria:
• Eighteen years or older at the time
of admission.
• Admission includes at least one
overnight stay in the hospital.
• Non-psychiatric MS–DRG/principal
diagnosis at discharge.
• Alive at the time of discharge.
There are a few categories of
otherwise eligible patients who are
excluded from the sample frame as
follows:
• ‘‘No-Publicity’’ patients—Patients
who request that they not be contacted.
• Court/Law enforcement patients
(that is, prisoners); patients residing in
halfway houses are included.
• Patients with a foreign home
address (U.S. territories—Virgin Islands,
Puerto Rico, Guam, American Samoa,
and Northern Mariana Islands are not
considered foreign addresses and are
not excluded).
• Patients discharged to hospice care
(Hospice-home or Hospice-medical
facility).
• Patients who are excluded because
of state regulations.
• Patients discharged to nursing
homes and SNFs.
We also indicted that the HCAHPS
survey is intended for short-term, acute
care hospitals. Both IPPS and CAHs
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participate in the survey; specialty
hospitals, psychiatric hospitals and
children’s hospitals do not.
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(5) Case-Mix-Adjustment
In the proposed rule (80 FR 41282
through 41283), we stated that to ensure
that HCAHPS scores allow fair and
accurate comparisons among hospitals,
CMS adjusts for factors that are not
directly related to hospital performance
but which affect how patients answer
survey items. This includes the mode of
survey administration and
characteristics of patients that are out of
a hospital’s control. Patient-mix
adjustments (also known as case-mix
adjustment) control for patient
characteristics that affect ratings and
that are differentially distributed across
hospitals. Most of the patient-mix items
are included in the ‘‘About You’’ section
of the survey, while others are taken
from hospital administrative records.
Based on the HCAHPS mode
experiment,77 and consistent with
previous studies of patient-mix
adjustment in HCAHPS and in previous
hospital patient surveys, we employ the
following variables in the patient-mix
adjustment model:
• Self-reported general health status
(specified as a linear variable).
• Education (specified as a linear
variable).
• Type of service (medical, surgical,
or maternity care).
• Age (specified as a categorical
variable).
• Admission through emergency
room (discontinued in 2010).
• Lag time between discharge and
survey completion.
• Age by service line interaction.
• Language other than English spoken
at home.
Finally, we indicated that once the
data are adjusted for patient-mix, there
is a fixed adjustment for the mode of
survey administration (mail, telephone,
mail with telephone follow-up, and
active Interactive Voice Response) and
information on patient-mix adjustment
(risk adjustment) and survey mode
adjustment of HCAHPS scores can be
found at https://www.hcahpsonline.org/
modeadjustment.aspx.
(6) HCAHPS Scoring
In the proposed rule (80 FR 41283),
we outlined the methodology used to
assess hospitals in the HIQR Program as
reasonable for use in the model since
77 The Effects of Survey Mode, Patient Mix, and
Nonresponse on CAHPS Hospital Survey Scores.’’
M.N. Elliott, A.M. Zaslavsky, E. Goldstein, W.
Lehrman, K. Hambarsoomian, M.K. Beckett and L.
Giordano. Health Services Research, 44(2): 501–
518. 2009.
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this is a survey that many hospitals and
patients are familiar with. In
determining HCAHPS performance, we
proposed to utilize the HLMR score
because the HLMR summarizes
performance across the 11 publicly
reported HCAHPS measures for IPPS
hospitals with 100 or more completed
HCAHPS surveys in a 4-quarter period.
We stated that the HLMR is calculated
by taking the average of the linear mean
scores (LMS) for each of the 11 publicly
reported HCAHPS measures. We noted
that the LMS, which was created for the
calculation of HCAHPS Star Ratings,
summarizes all survey responses for
each HCAHPS measure; a detailed
description of LMS can be found in
HCAHPS Star Rating Technical Notes, at
https://www.hcahpsonline.org/Star
Ratings.aspx.
We proposed that hospitals
participating in the model also have at
least 100 completed HCAHPS surveys
over a given 4-quarter period to be
evaluated on HCAHPS for the model.
We noted in the proposed rule that
responses to the survey items used in
each of the 11 HCAHPS measures
described previously are combined and
converted to a 0 to 100 linear-scaled
score (LMS) as follows:
• ‘‘Never’’ = 0; ‘‘Sometimes’’ = 331⁄3;
‘‘Usually’’ = 662⁄3; and ‘‘Always’’ = 100
(For HCAHPS Survey items 1–9, 11, 13–
14, and 16–17).
• ‘‘No’’ = 0; and ‘‘Yes’’ = 100 (For
items 19 and 20).
• Overall Rating ‘‘0’’ = 0; Overall
Rating ‘‘1’’ = 10; Overall Rating ‘‘2’’ =
20; . . . ; Overall Rating ‘‘10’’ = 100 (For
item 21).
• ‘‘Definitely No’’ = 0; ‘‘Probably No’’
= 331⁄3; ‘‘Probably Yes’’ = 662⁄3; and
‘‘Definitely Yes’’ = 100 (For item 22).
• ‘‘Strongly Disagree’’ = 0; ‘‘Disagree’’
= 331⁄3; ‘‘Agree’’ = 662⁄3; and ‘‘Strongly
Agree’’ = 100 (For items 23, 24, and 25).
The 0 to 100 linear-scaled HCAHPS
scores are then adjusted for patient mix,
survey mode, and quarterly weighting,
see https://www.hcahpsonline.org/files/
HCAHPS_Stars_Tech_Notes_
Apr2015.pdf.
The HLMR summarizes performance
across the 11 HCAHPS measures by
taking an average of each of the LMS of
the 11 HCAHPS measures, using a
weight of 1.0 for each of the 7 HCAHPS
composite measures, and a weight of 0.5
for each of the single item measures
(Cleanliness, Quietness, Overall
Hospital Rating and Recommend the
Hospital). The HLMR is calculated to
the second decimal place. Once the
HLMR score is determined for a
participant hospital, the hospital’s
percentile of performance can be
determined based on the national
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distribution of hospital performance on
the score.
(7) Performance Period
In the proposed rule (80 FR 41283),
we proposed to be consistent with the
HIQR Program, which uses four quarters
of data (79 FR 50259). For the model, we
proposed to use the most recently
available HCAHPS 4-quarter roll-up to
calculate the HLMR score for the initial
year of the model. The performance
period would assess data on patients
discharged from July 1, 2015 through
June 30, 2016 for the first year of the
model. Section III.D.4. of this final rule
summarizes performance periods for
years 1 through 5 of the model years.
We invited public comments on this
proposal to include HCAHPS Survey
measure (NQF #0166) in the model to
assess quality performance and capture
patient experience of care.
The following is a summary of the
comments received and our responses.
Comment: Several commenters
supported the inclusion of the HCAHPS
Survey measure in the model and
strongly recommended increasing the
relative weighting of the HCAHPS
Survey measure (NQF #0166) in the
model. Commenters also cited the fact
that the proposed HCAHPS Survey
measure (NQF #0166) assesses both
access to care and pain management. By
contrast, many commenters said that the
proposed HCAHPS Survey measure
(NQF #0166) should not be included in
the model because it does not capture
the patient experience of care during the
full 90-day episode.
Response: We thank the commenters
for these observations and agree with
the commenters supporting inclusion of
the measure, as we believe it represents
an important patient experience
measure. We acknowledge that this
survey is restricted to the inpatient
population by capturing inpatients’
experience of care at acute care
hospitals. While we do not have an
outpatient experience of care survey, we
note that the acute care hospitals are the
unit of analysis for the model from a
measure perspective. Based on the
currently available hospital-level patient
experience measures, the HCAHPS
Survey measure (NQF #0166) is the best
available measure for capturing,
assessing and comparing the inpatient
experience of joint replacement patients
at the hospital-level. Regarding the
suggestion to increase the weighting of
the HCAHPS Survey measure (NQF
#0166) in the CJR model we refer
readers to section III.C.5.b.(5)(c)(iii) in
this final rule for detailed discussion of
the relative weighting of this measure in
reconciliation payment.
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Comment: Many commenters stated
that the HCAHPS Survey measure (NQF
#0166) is inappropriate because it will
capture a wide range of hospital
inpatients along with hip and knee
replacement surgery inpatients. CMS,
they stated, should collect HCAHPS
data on only patients who had
undergone an elective THA/TKA, or had
procedures captured by MS–DRG 469
and 470 who were involved in the CJR
model and compensate hospitals for any
additional costs incurred in this effort.
A commenter stated that participating
hospitals with a ‘‘center of excellence’’
program for total joint replacement
patients may have in that dedicated unit
excellent patient satisfaction scores, but
other inpatient units may have less
satisfied patients. Thus, HCAHPS scores
derived from patients in the joint
replacement unit would be undermined
by combination at the hospital level
with lower scores from other units.
Another commenter stated essentially
the opposite: That better patient
experience of care in other hospital
units would mask poorer performance
in the joint replacement unit.
Response: We appreciate the concerns
from the commenters about the broad
patient population covered by this
measure. Although the HCAHPS Survey
encompasses a broader range of patients
than does the model episode definition,
we are not aware of evidence that such
patients’ experience of care differs
markedly from those of the larger group
of eligible patients after patient-mix
adjustment for service line (surgery) and
age have been applied. From a survey
implementation standpoint, it is not
feasible to target only Medicare
beneficiaries who had hip or knee
replacement surgery, or to calculate the
HCAHPS Linear Mean Roll-up score on
the basis of only those hip or knee
replacement surgical patients. In
addition to complicating the
administration of the survey, the
number of completed surveys from such
a narrow set of patients would be, for
many hospitals, too small to support
reliable measurement or comparison.
The inclusion of the HCAHPS Survey
measure (NQF #0166) as currently
implemented and the HLMR derived
from it in the CJR model will present
participating hospitals with a further
incentive to improve experience of care
for all patients.
We are finalizing our proposal to
employ the HCAHPS Survey measure
(NQF #0166) as currently implemented.
HCAHPS, which was launched in 2006
and has been continuously administered
ever since, is familiar to over 4,000
hospitals. Modifications to the
standardized implementation protocols
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would be disruptive to the other
programs that employ HCAHPS data,
which include the HIQR Program and
Hospital Value-Based Purchasing
program.
Comment: Some commenters had
questions about the HCAHPS Linear
Mean Roll-up score proposed as the
patient experience of care measure in
the model, specifically regarding how it
was calculated.
Response: We note that the HLMR
summarizes in one statistic all survey
responses to all 11 HCAHPS measures
from all eligible patients discharged in
a four-quarter period. As such, it is an
efficient and complete summary of
hospital patients’ experience of care.
The HLMR is created in the production
of the HCAHPS Summary Star Ratings
now displayed on the Hospital Compare
Web site (https://www.hospitalcompare.
hhs.gov/) and is derived directly from
the linear mean scores of the 11 publicly
reported HCAHPS measures.
Information on the calculation of the
HCAHPS linear mean scores can be
found in the HCAHPS Star Rating
Technical Notes on the HCAHPS OnLine Web site, https://www.
hcahpsonline.org/StarRatings.aspx. The
HLMR summarizes performance across
the 11 HCAHPS measures by taking an
average of each of the linear mean
scores of the 11 HCAHPS measures,
using a weight of 1.0 for each of the 7
HCAHPS composite measures, and a
weight of 0.5 for each of the single-item
measures (Cleanliness, Quietness,
Overall Hospital Rating and
Recommend the Hospital). The HLMR is
calculated to the second decimal place
(x.xx) and can range from 0.00 to
100.00.
Comment: Some commenters
suggested that the HCAHPS Survey be
modified to encompass patients
discharged to nursing homes and SNFs
before being used in the model.
Response: Patients discharged to
nursing homes and SNFs are excluded
from HCAHPS survey administration
because of the difficulty contacting such
patients and consistently surveying
them in a timely manner. We are not
aware of evidence that patients
discharged to a nursing home or SNF
have different experience of care than
other inpatients in the hospital.
Comment: Some commenters stated
that the HCAHPS Survey was arbitrarily
biased against certain categories of
hospitals such as urban hospitals, major
teaching hospitals, safety-net hospitals,
hospitals that receive a high proportion
of their inpatients through the
emergency department, and hospitals
that serve a disproportionate share of
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uninsured, Medicaid, or Medicare dualeligible patients.
Response: We have not seen evidence
that the HCAHPS Survey is biased
against any particular category of
hospital. Both rural and urban hospitals
and teaching and non-teaching hospitals
have been found to perform well on the
HCAHPS survey.78 Currently, major
teaching hospitals’ performance on
HCAHPS measures are sometimes
lower, sometimes the same, and
sometimes higher than that of minor
teaching hospitals and non-teaching
hospitals (available at: https://www.
hcahpsonline.org/Summary
Analyses.aspx). The hospital
characteristic definitions are derived
from a survey of hospitals conducted by
the American Hospital Association
(AHA) in 2012 and published in the
AHA Guide 2014 Edition.
Comment: A commenter stated that
the HCAHPS Survey would not be
informative because of its low response
rate.
Response: We do not believe that the
response rate of the HCAHPS Survey
degrades its ability to fairly capture
patient experience of care. The national
response rate for the HCAHPS Survey is
currently 31 percent. The patient-mix
adjustment that is applied to HCAHPS
results prior to public reporting
adequately addresses the non-response
bias that would otherwise exist.79
Recent meta-analyses suggest that nonresponse bias is less related to response
rate per se than to the use of rigorous
and standardized survey protocols.80 81
Comment: Many commenters
suggested that CMS replace the
HCAHPS Survey with a patient
experience of care measure targeted at
only surgical patients, such as the
CAHPS Surgical Care Survey, or only
those patients eligible for the CJR
model. A commenter stated that, while
it would be inappropriate to use the
CAHPS Surgical Care Survey as a payfor-reporting or pay-for-performance
tool because CMS had not tested this
survey for national implementation, the
78 Lehrman WG, Elliott MN, Goldstein E, Beckett
MK, Klein DJ, Giordano LA. Characteristics of
Hospitals Demonstrating Superior Performance in
Patient Experience and Clinical Process Measures of
Care. Medical Care Research and Review, 67(1): 38–
55. 2010.
79 Elliott MN, Zaslavsky AM, Goldstein E,
Lehrman WG, Hambarsoomian K, Beckett MK,
Giordano LA. The Effects of Survey Mode, Patient
Mix, and Nonresponse on CAHPS Hospital Survey
Scores. Health Services Research, 44(2): 501–518.
2009.79.
80 Groves RM. Nonresponse rates and
nonresponse bias in household surveys. Public
Opin Q. 2006; 70:646–675.
81 Groves RM, Peytcheva E. ‘‘The impact of
nonresponse rates on nonresponse bias: a metaanalysis’’. Public Opin Q. 2008; 72:167–189.
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CAHPS Surgical Care Survey could be
used for model evaluation purposes in
the context of the CJR model’s bundled
payment approach. Many commenters
suggested that CMS create a new survey
instrument specifically for the CJR
model that would capture the 90-day
episode of care and combine patient
experiences of care across all the
providers that a patient encountered
during that period.
Response: The CAHPS Surgical Care
Survey is focused on the physician who
performed inpatient or outpatient
surgery, not the hospital, and
encompasses a range of surgical
patients, not just those included in the
CJR model. We do not believe the
CAHPS Surgical Care Survey measure is
feasible or appropriate to adopt for the
CJR model.
While a patient experience survey
customized for only LEJR patients might
have a tighter focus, developing and
implementing such a measure would
require significant resources and take a
number of years. Given the relatively
small number of patients at a hospital
who undergo LEJR, collecting enough
completed surveys to attain acceptable
levels of reliability for such a measure
would also be a challenge. Segregating
HCAHPS Surveys from patients who
had undergone LEJR surgery would
often result in a small number of
completed surveys as well as demand
modifications in well-established survey
implementation protocols. Tracing a
patient over a 90-day episode through a
number of different types of healthcare
providers would be very difficult given
the de-identified nature of HCAHPS
data. Replacement of the HCAHPS
Survey measure (NQF #0166) with a
physician-based survey would remove
the hospital experience from the model.
We have no reason to believe that
patients undergoing LEJR differ in their
patient experience compared with other
HCAHPS-eligible patients in the same
hospital. Similarly, we have no
evidence that patients who are excluded
from the HCAHPS Survey measure
(NQF #0166) because of discharge to
nursing homes or SNFs have different
experience of care than other inpatients,
but we have found that consistently
contacting and surveying such patients
is difficult. Thus, we believe that the
HCAHPS Survey is the most viable and
practical measure of patient experience
of care available for the model at this
time.
Comment: A commenter suggested
using an electronic platform to capture
and report the HCAHPS Survey for only
the patients in the bundled episodes.
Response: The HCAHPS Survey
currently permits four modes of survey
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administration: mail, telephone, mail
with telephone follow-up (mixed mode),
and Interactive Voice Response. CMS
has tested the feasibility of offering an
Internet mode for the HCAHPS Survey
but determined that issues related to
low response rates and poor
comparability with the other existing
survey modes preclude implementation
of a Web-based mode at this time.82
Comment: Concerned that the
proposed measures are
disproportionately hospital-focused,
many commenters suggested that CMS
develop a CAHPS measure that would
capture both the in-hospital and posthospital phases of the 90-day episode
for Medicare beneficiaries who had
experienced joint replacement surgery
and devise a blended CAHPS score
across all settings involved with the 90day episode.
Response: CMS patient experience of
care surveys are targeted toward
providers (hospitals, HHAs, etc.) and
assess performance at the provider level.
CMS does not possess a survey
instrument that tracks hospital
inpatients across a 90-day episode or
across different types of providers or
other settings. Developing such an
instrument would be difficult because
HCAHPS data submitted to CMS by
hospitals or their survey vendors are
patient de-identified in order to ensure
HIPAA compliance. As such, it would
not be feasible to link patient-level
HCAHPS results to the same patientlevel results on other surveys or other
measures from other settings or
providers.
Comment: A commenter requested
that CMS publicly report the HCAHPS
Linear Mean Roll-up score of all
hospitals on a quarterly basis in order
for hospitals to be able to understand
where they stand on this measure
relative to other hospitals and to
facilitate hospitals’ ability to rapidly
improve performance and assess
financial risk.
Response: We plan to share
information with hospitals on their
scores on the quality measures included
in the model, including the HCAHPS
Linear Mean Roll-up score, on an
annual basis. Information on
performance will be shared with
hospitals through their ongoing Hospital
Compare Preview Reports on an annual
basis. Hospital scores on the model
measures will be publicly reported on
82 Elliott MN, Brown JA, Lehrman WG, Beckett
MK, Hambarsoomian LA, Giordano LA, Goldstein
E. A Randomized Experiment Investigating the
Suitability of Speech-Enabled IVR and Web Modes
for Publicly Reported Surveys of Patients’
Experience of Hospital Care. Medical Care Research
and Review, 70(2): 165–184. 2013.
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73483
Hospital Compare Web site (https://
www.hospitalcompare.hhs.gov/) on an
annual basis. We note that a goal for the
CJR model is to align as many quality
measure processes (including public
reporting) as is reasonably possible with
the HIQR program and for this reason
we will be publicly reporting HCAHPS
Survey measure (NQF #0166) annually
instead of quarterly.
Comment: A commenter suggested
that CMS implement the quality
thresholds in performance year 2 or
later, especially for HCAHPS, to help
hospitals to understand their quality
performance compared to the thresholds
and allow them time to make
meaningful improvements to quality of
care.
Response: Hospitals participating in
the CJR model have had several years of
experience with the HCAHPS survey.
Since July 2007, hospitals subject to the
IPPS annual payment update provisions
have been required to collect and
submit HCAHPS data in order to receive
their full annual payment update (71 FR
48037). Non-IPPS hospitals, such as
CAHs, may voluntarily participate in
HCAHPS. The incentive for IPPS
hospitals to improve patient experience
was further strengthened by the Patient
Protection and Affordable Care Act of
2010 (Pub. L. 111–148), which
specifically included HCAHPS
performance in the calculation of the
value-based incentive payment in the
Hospital Value-Based Purchasing
program beginning with October 2012
discharges.
With respect to the HCAHPS Linear
Mean Roll-up score measure that CMS
has proposed for the model, hospitals
began receiving HCAHPS Summary Star
Rating in their December 2014 Hospital
Compare Preview Report. The HLMR is
the basis for the HCAHPS Summary Star
Rating; see HCAHPS Star Rating
Technical Notes at https://
www.hcahpsonline.org/
StarRatings.aspx. While the HLMR is a
new calculation from the existing
measures, hospitals have been using the
HCAHPS survey for many years and
have had time to become familiar with
it, with their results, and with their
standing relative to other hospitals
through information presented on the
HCAHPS On-Line Web site such as the
HCAHPS Percentiles tables (https://
www.hcahpsonline.org/
SummaryAnalyses.aspx). IPPS hospitals
have available their HCAHPS scores’
relative rank compared to other
hospitals participating in the HVBP
program. As such, we believe that
hospitals are familiar with their
individual and relative performance on
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the HCAHPS Survey measure (NQF
#0166).
Comment: A commenter suggested
that the HCAHPS Survey measure (NQF
#0166) be removed from the CJR model
unless adjusted for socio-economic
status.
Response: As discussed in our
responses to public comments on the
Complications measure (NQF #1550),
we do not adjust the measure for
patients’ socio-economic status directly.
However, the patient-mix adjustment of
HCAHPS survey scores does include an
adjustment for patients’ self-reported
level of education, which is correlated
with other SES indicators; see HCAHPS
On-Line Web site: https://
www.hcahpsonline.org/
modeadjustment.aspx.
The intent of the HCAHPS survey is
to provide a standardized survey
instrument and data collection
methodology for measuring patients’
perspectives of hospital care. In order to
achieve the goal of fair comparisons
across all hospitals that participate in
HCAHPS survey, it is necessary to
adjust for factors that are not directly
related to hospital performance but do
affect how patients answer HCAHPS
survey items. These factors include the
mode of survey administration and the
characteristics of patients in
participating hospitals, often referred to
as patient-mix.
Patient-mix refers to patient
characteristics that are not under the
control of the hospital that may affect
patient reports of hospital experiences.
The goal of adjusting for patient-mix is
to estimate how different hospitals
would be rated if they all provided care
to comparable groups of patients. In
developing the HCAHPS patient-mix
adjustment (PMA) model, we sought
important and statistically significant
predictors of patients’ HCAHPS ratings
that also vary meaningfully across
hospitals. The following PMA variables
are included in the HCAHPS patientmix models: Service line (medical,
surgical, or maternity care), age,
education, self-reported health status,
language other than English spoken at
home, age by service line interactions,
and percentile response order, also
known as ‘‘relative lag time,’’ which is
based on the time between discharge
and survey completion. This adjustment
approach is grounded in more than ten
years of CAHPS research of case-mix/
patient-mix adjustment, reflects the
input of a wide variety of stakeholders,
has been subject to extensive empirical
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testing, and has been accepted in the
peer-reviewed scientific literature.83
Comment: A commenter stated that
the HCAHPS survey represents a
significant delay in reporting results and
that the reporting time frame does not
coincide with the reporting time for the
model.
Response: The HCAHPS surveys used
to construct the HCAHPS Linear Mean
Roll-up score measure in the CJR model
corresponds to a similar time frame as
that proposed for the Complications and
Readmissions measures illustrated in
Table 17 of the proposed rule (80 FR
41290). We note that the HCAHPS uses
a one year performance period closer to
the CJR model initiation date in 2016,
and therefore we do not believe the
proposed one year performance period
of July 1, 2015–June 30, 2016 represents
a significant delay in reporting results
for the CJR model.
Comment: Several commenters
suggested that inclusion of the HCAHPS
Survey measure (NQF #0166) in the CJR
model could harm ‘‘essential’’ hospitals
because hospitals with higher volume of
patients admitted through the
emergency department may score lower
on the HCAHPS survey. Commenters
also stated that hospitals with high
proportions of Medicaid, Medicare dualeligible, and uninsured patients would
be adversely affected by the inclusion of
the HCAHPS Survey measure (NQF
#0166) in the model.
Response: We have examined the
performance of so-called ‘‘safety net’’
hospitals, sometimes referred to as
‘‘essential’’ hospitals, on the HCAHPS
component of the HVBP program.
Although we do not have an official
definition or designation of ‘‘safety net’’
hospital, we understand that a safety net
status typically entails one or more of
three criteria: High Medicaid share; high
proportion of uncompensated patients;
and high county-associated poverty rate.
In general, after all HCAHPS
adjustments are applied (patient mix
and survey mode), we believe that socalled safety net hospitals, as we
understand the term perform similarly
to other hospitals. The current
adjustment approach that CMS employs
is both well-validated and necessary to
ensure fair comparisons of HCAHPS
scores across hospitals. When these
adjustments are applied according to the
rules currently in place, the
performance of safety net hospitals for
83 Elliott, MD, Zaslavsky AM, Goldstein E,
Lehrman,WG, Hambarsoomian K, Beckett, MK,
Giordano L. The Effects of Survey Mode, Patient
Mix, and Nonresponse on CAHPS Hospital Survey
Scores.’’ Health Services Research, 44(2): 501–518.
2009.
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the HCAHPS portion of HVBP is typical
of hospitals in general.
Comment: Many commenters stated
that there is an inherent bias in the
HCAHPS survey that is difficult to
adjust for. A few commenters pointed
out that California hospitals rank in the
bottom quartile of HCAHPS scores.
Response: We do not believe that
there is an inherent bias in the HCAHPS
survey. We do not believe that there is
an inherent bias in the HCAHPS Survey.
Along these lines, we have noted over
the years that some stakeholders believe
that patient experience of care surveys
are subjective or that patients are unable
to judge the quality of care provided (76
FR 26502). However, CAHPS surveys
are designed to measure topics where
the patient is the best or only source of
information. Beginning in 2002, CMS
partnered with the Agency for
Healthcare Research and Quality
(AHRQ), another agency in the federal
Department of Health and Human
Services, to develop and test the
HCAHPS survey. AHRQ and its CAHPS
Consortium carried out a rigorous and
multi-faceted scientific process,
including a public call for measures;
literature review; cognitive interviews;
consumer focus groups; stakeholder
input; a three-state pilot test; extensive
psychometric analyses; consumer
testing; and numerous small-scale field
tests. We provided three opportunities
for the public to comment on the
HCAHPS survey and responded to over
a thousand comments. The survey, its
methodology and the results published
by CMS are in the public domain.
In May 2005, the HCAHPS survey was
endorsed by the National Quality
Forum, a national organization that
represents the consensus of many
healthcare providers, consumer groups,
professional associations, purchasers,
federal agencies, and research
organizations. In December 2005, the
federal Office of Management and
Budget gave its final approval for the
national implementation of the
HCAHPS survey for public reporting
purposes. The NQF has twice reendorsed the HCAHPS survey, most
recently in 2014. Performance on the
HCAHPS survey varies nationally. CMS
believes that this variation reflects true
differences in patient experience of care,
not inherent bias.
Comment: A commenter
recommended that the HCAHPS survey
measures used in the CJR model and the
Hospital Value-Based Purchasing
program be the same and that the
HCAHPS survey measures used to
evaluate performance be harmonized
across programs.
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Response: The HCAHPS survey
measures used in the HIQR Program,
HVBP program and the model are
tailored to reflect the respective
purposes of those programs. CMS chose
to use the HCAHPS Linear Mean Rollup score for the model because it
efficiently captures the full range of
survey responses in a single statistic.
The Patient and Caregiver-Centered
Experience of Care/Care Coordination
Domain score in the HVBP program is
more complicated, comprising
achievement, improvement and
consistency components and entailing a
comparison between a baseline year and
a later performance year (76 FR 26516).
The HIQR Program includes a wider and
deeper array of measures and provides
more detailed information about
HCAHPS survey performance, which
may be useful to consumers.
In the CJR model, the HCAHPS survey
measures and their relative weighting
are very similar to the HVBP program.
Both the CJR model and the HVBP
program use a four-quarter roll-up of
HCAHPS scores and set a threshold of
100 completed HCAHPS surveys for
hospital participation (76 FR 26502).
The two programs are also similar in
that their HCAHPS component is
created from the data submitted for the
HIQR Program, thus requiring no
additional data collection or
submission. While there are differences
in the HCAHPS survey measures used
in the HVBP program and the CJR
model, the measures are strongly
correlated. Given that the HIQR and
HVBP programs and the CJR model all
employ the same HCAHPS survey data,
patient experience quality improvement
efforts targeted toward hospital
performance on any one of these
programs will redound to the benefit of
all programs.
Comment: A commenter suggested
that a functional measurement, such as
HOOS, KOOS or VR–12, replace the
proposed HCAHPS measures in the CJR
model so to provide a valid assessment
of improvement in patient health and
status.
Response: The HCAHPS survey (NQF
#0166) measures hospital inpatients’
experience of care. The HCAHPS survey
is not a functional measurement. As
such, the HCAHPS survey could not be
adequately replaced by a functional
measurement because these two types of
measure assess different aspects of
patient care. We note that the CJR model
has included the THA/TKA voluntary
data submission initiative (section
III.D.3.a. of this final rule) which
includes functional patient-reported
outcome assessment.
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Final Decision: After consideration of
the public comments we received, we
are finalizing the proposal to implement
the HCAHPS Survey measure (NQF
#0166), as it is the best available
measure of patient experience of care for
hospitals that perform LEJR procedures.
Over 4,000 hospitals currently
participate in the HCAHPS survey, and
the instrument is also familiar to
patients. The HCAHPS survey was
carefully designed, developed and
implemented, is subject to continuous
oversight, has been found to meet high
standards of reliability and validity, has
been endorsed and re-endorsed by the
National Quality Forum, and is
currently used in both the HIQR and
Hospital Value-Based Purchasing
programs. We believe that HCAHPS
Survey measure (NQF #0166) is a fair
and unbiased measure of patient
experience of care at all types of
hospitals.
We have no reason to believe that
patients undergoing LEJR differ in their
patient experience compared with other
HCAHPS-eligible patients in the same
hospital. Similarly, we have no
evidence that patients who are excluded
from the HCAHPS Survey measure
(NQF #0166) because of discharge to
nursing homes or SNFs have different
experience of care than other inpatients,
but we have found that consistently
contacting and surveying such patients
is difficult. Thus, we believe that the
HCAHPS survey is the most viable and
practical measure of patient experience
of care available for the model at this
time. Finally, we are codifying adoption
of the HCAHPS Survey measure (NQF
#0166) in § 510.400(a)(2).
d. Applicable Time Period
In the proposed rule (80 FR 41283), in
order to align as much as is reasonably
possible with other CMS hospital
quality and public reporting programs
in which these three measures are
implemented, we proposed for the
THA/TKA Complications measure (NQF
#1550) and the THA/TKA Readmissions
measure (NQF #1551) performance time
periods to be consistent with the HIQR
Program, HVBP program and HRRP. We
noted that these programs use a 3-year
rolling performance period (that is, the
applicable period; see section
III.D.2.b.(6) of the proposed rule) for the
Hospital-level 30-day, all-cause riskstandardized readmission rate (RSRR)
following elective primary total hip
arthroplasty (THA) and/or total knee
arthroplasty (TKA) (NQF #1551) and the
Hospital-level risk-standardized
complication rate (RSCR) following
elective primary total hip arthroplasty
(THA) and/or total knee arthroplasty
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(TKA) (NQF #1550) measures. We
proposed a 3-year rolling performance
period for the THA/TKA Complications
measure (NQF #1550) and the THA/
TKA Readmissions measure (NQF
#1551) because a 3-year performance
period yields the most consistently
reliable and valid measure results. We
also proposed the 3-year rolling
performance periods for the THA/TKA
Complications measure (NQF #1550)
and the THA/TKA Readmissions
measure (NQF #1551) because hospitals
are intimately familiar with these
measures. We noted that reconciliation
payments to hospitals as part of the CJR
model are dependent upon both cost
and quality outcome measures, and that
making reconciliation payments solely
based on cost has the potential to lead
to reduced access and stinting of care.
We stated that in order to address these
possibilities the inclusion of
performance on outcome measures is
critical to ensure access and highquality care for patients undergoing
these procedures, and that the only way
to include reliable quality measures in
the model upon which to base
reconciliation payments for 2016, is to
use measures that have a performance
period that precedes the start date of the
model. We explained that, from a
measure reliability and validity
perspective, it is imperative to have at
least 4 quarters of data for HCAHPS
survey measures and 3 years of data for
the THA/TKA readmissions and
complications measures. We
intentionally chose outcome and patient
experience measures for which
hospitals that are already financially
accountable in other IPPS programs.
Consequently, the performance periods
are the same periods for the THA/TKA
Readmissions and Complications
measures between the model, HIQR
Program, HVBP program and HRRP. For
the HCAHPS survey measures, there is
overlap with the performance periods
for the model and the HIQR Program.
We stated our belief that it is
appropriate and necessary to use
performance periods that precede the
start date of the model because: (1)
There is no downward payment
adjustment associated with the model;
(2) hospitals are already familiar with
these measures as part of the HIQR
Program, HVBP program, and HRRP;
and (3) hospitals are already held
financially accountable for these
measures. For the HCAHPS Survey
measure (NQF #0166), we would
continue to use a 4 quarter performance
period as in the HIQR Program, but
would not align with the HIQR Program
performance period. We shared how we
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initially considered using the same
HIQR Program performance period for
the HCAHPS Survey measure (NQF
#0166), but realized that should we use
the same HIQR Program performance
periods for the model, other model
timeframes and policy goals would not
be met. We indicated such policy goals
like calculating reconciliation payment
adjustments in a timely fashion during
the 2nd quarter of each year might not
be met, and we also noted that HCAHPS
survey results are not available until the
3rd quarter of each year. For these
reasons, we did not propose that the
HCAHPS survey performance period
follow the HIQR Program performance
periods. We also proposed that
HCAHPS survey scores be calculated
from 4 consecutive quarters of survey
data. We closed the proposal by
indicating that public reporting of
HCAHPS survey results are also based
on 4 quarters of data (79 FR 50259).
The following is a summary of the
comments received and our responses.
Comment: Some commenters
supported the three-year rolling period
of performance for the THA/TKA
Complications measure (NQF #1550)
and the THA/TKA Readmissions
measure (NQF #1551). Others did not
support the three-year rolling
performance period for these two
measures and expressed concerns
because—(1) With a start date of January
1, 2016, hospitals would only have three
months to improve on the performance
for the three measures; (2) the three-year
rolling performance period does not
coincide with the 12-month
performance period used by the CJR
model to determine the reconciliation
payment; (3) a three-year rolling
performance period exacerbates the lack
of correlation between the CJR model
12-month performance and the measure
performance periods; (4) the three-year
rolling performance period includes a
significant amount of data that pre-date
the start of the model proposed for
January 1, 2016 ; and (5) the potential
impact that a single year of poor
performance may have on the
subsequent 2 years of performance.
Most commenters recommended that
the THA/TKA Complications measure
(NQF #1550) and the THA/TKA
Readmissions measure (NQF #1551)
coincide with the CJR model 12-month
performance period used to determine
the reconciliation payment.
Response: We appreciate the concerns
regarding the use of the three-rolling
performance period for the THA/TKA
Complications measure (NQF #1550)
and the THA/TKA Readmissions
measure (NQF #1551). We note that
these measures rely on administrative
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claims data that are at least a year old
because providers have up to one year
to submit administrative claims for
payment and that the measures are
designed to include only administrative
claims that are final action claims. The
measures use final action claims in
order to ensure consistency in the type
of hospital data is used in the measures.
Additionally, use of performance
periods up to 3 years ensures adequate
sample size for administrative claims
based measures. For these reasons we
believe it is reasonable to use a 3 yearrolling performance period, and in order
to have sufficient data for the first year
of the model use of data that precedes
the start of the CJR model will help to
provide a reliable estimate of a
hospital’s performance on the THA/
TKA Complications measure (NQF
#1550).
Regarding the concern that hospitals
would only have 3 months to improve
on the performance for the three
proposed measures, we note for the
HIQR Program that the THA/TKA
Complications measure (NQF #1550)
and the THA/TKA Readmissions
measure (NQF #1551) were finalized in
the FY 2013 IPPS/LTCH Final Rule (77
FR 53534) for implementation in FY
2015, and the most updated HCAHPS
Survey measure (NQF #0166) was
finalized in FY 2014 IPPS/LTCH final
rule (78 FR 50807) and in the HVBP
program (76 FR 26502). We therefore
believe hospitals have received ample
time to identify ways in which to
improve their performance on these
three measures. Finally, we specifically
considered this aspect of the measures
knowing that hospitals were familiar
with these measures and had more than
likely instituted quality improvement
activities in order to perform well on
these measures.
Regarding the request to use a 12month performance period, we note that
from a measure reliability perspective—
(1) A rolling 3-year performance period
consistently identifies more eligible
index admissions for each hospital as
compared to a single year of hospital
performance data or a 3-month period of
data. Using a larger number of index
admissions improves the precision of
the estimation of each hospital’s results
for the THA/TKA Readmissions
measure (NQF #1551) and THA/TKA
Complications measure (NQF #1550).
We note that if we were to have a 12month performance period, the
reliability of these measure results
would become questionable; (2) a
rolling 3-year performance period
provides larger sample sizes, which will
allow the calculation of measure results
that are better able to more meaningfully
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distinguish hospital performance; and
(3) in order to provide meaningful
measures results that use claims data,
we believe it is important to use claims
data that has completed the appropriate
opportunities for appeal and correction
through the CMS administrative claims
submission process. Without
opportunities for hospitals to correct
claims errors, the measure results may
not be valid and reliable for making
quality improvements in hospital
processes. For these reasons we believe
that having a rolling 3-year performance
period is reasonable for the THA/TKA
Complications measure (NQF #1550).
We note that the THA/TKA
Readmissions measure (NQF #1551) is
not finalized for the CJR model.
After review of public comments, we
are finalizing the three-year rolling
performance period as proposed for the
THA/TKA Complications measure (NQF
#1550). Similarly, for the HCAHPS
Survey measure (NQF #0166), we are
finalizing our proposal that the
HCAHPS survey scores be calculated
from 4 consecutive quarters of survey
data and that publicly reported
HCAHPS results are based on 4 quarters
of data (79 FR 50259). Since we are not
finalizing the THA/TKA Readmissions
measure (NQF #1551), as discussed in
section III.D.2.b. of this final rule, we
will not be finalizing any applicable
period for this measure.
3. Possible New Outcomes for Future
Measures
a. Hospital-Level Performance
Measure(s) of Patient-Reported
Outcomes Following Elective Primary
Total Hip and/or Total Knee
Arthroplasty
(1) Background
In the proposed rule (80 FR 41284),
we stated that part of our goal to move
towards outcome measures that assess
patient-reported outcomes, we had
begun development on a measure to
assess improvement in patient-reported
outcomes following THA/TKA
procedures. We shared that the
Hospital-Level Performance Measure(s)
of Patient-Reported Outcomes
Following Elective Primary Total Hip
and/or Total Knee Arthroplasty
(hereinafter referred to as ’’THA/TKA
patient-reported outcome-based
measure’’) is currently under
development. In our proposal, we
shared that we specifically chose to
focus on THA/TKA procedures since
THA/TKAs are important, effective
procedures performed on a broad
population, and the patient outcomes
for these procedures (for example, pain,
mobility, and quality of life) can be
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measured in a scientifically sound way
and are also influenced by a range of
improvements in care.84 85 86 We also
shared that THA/TKA procedures are
specifically intended to improve
function and reduce pain, making
patient-reported outcomes the most
meaningful outcome metric to assess for
these common, costly procedures. We
outlined that patient-reported outcomes
will be assessed separately for THA and
TKA procedures, though these results
may be combined into a single
composite measure for reporting, and
indicated that we would refer to a single
measure, while acknowledging the
possibility of two measures, one for
THA patients and one for TKA patients.
In the proposed rule we provided
background on measure development,
and shared our discovery that in order
to complete measure development, we
would need access to a nationally
representative sample of THA and TKA
inpatient surgical procedure patientreported outcome data set that is also
consistently collected at the hospitallevel and contains risk variables
identified by orthopedists. Further, we
noted that our rationale for requesting
access to a national THA and TKA
inpatient surgical procedures patientreported data source was twofold—(1) A
national data source would provide us
with hospital-level data representative
of the total number of THA and TKA
procedures performed in hospitals, as
well as representative data on hospitallevel case-mix; and (2) access to a
national THA and TKA inpatient
surgical procedures patient-reported
data source would allow us to assess
and identify a set of parsimonious data
elements that will minimize the data
collection burden by patients,
physicians and hospitals. We shared our
belief that—(1) Access to such data
would allow for completion and testing
of the current measure under
development so that it could be
appropriately used for nationwide
84 Monticone M, Ferrante S, Rocca B, et al. Homebased functional exercises aimed at managing
kinesiophobia contribute to improving disability
and quality of life of patients undergoing total knee
arthroplasty: A randomized controlled trial.
Archives of physical medicine and rehabilitation.
Feb 2013;94(2):231–239.
85 Galea MP, Levinger P, Lythgo N, et al. A
targeted home- and center-based exercise program
for people after total hip replacement: A
randomized clinical trial. Archives of physical
medicine and rehabilitation. Aug 2008;89(8):1442–
1447.
86 Moffet H, Collet JP, Shapiro SH, Paradis G,
Marquis F, Roy L. Effectiveness of intensive
rehabilitation on functional ability and quality of
life after first total knee arthroplasty: A single blind
randomized controlled trial. Archives of physical
medicine and rehabilitation. Apr 2004;85(4):546–
556.
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hospital performance evaluation; and (2)
the model provides a unique
opportunity to resolve these measure
development issues through the
collection of THA and TKA patientreported outcome data. We stated that
access to this data through the model
would address the following:
• Current data sources are not
consistently collected nor collected in a
uniform process and in a standardized
format (that is, data elements are not
consistently defined across different
data sources). We note that currently
available data sources tend to be limited
to single hospitals or regional registries
which are associated with complex data
access sharing requirements.
• Current lack of uniform hospitallevel data that can be used in measure
development.
• Lack of incentive for physicians and
hospitals to collect patient-reported
outcome data such as that through the
model’s financial incentives associated
with voluntary data submission.
• Current lack of a technically simple
and feasible mechanism for hospitals to
submit patient-reported data to CMS.
This model would help create and
optimize such a mechanism, potentially
enabling future measure
implementation.
Additionally we stated that the
voluntary data collection initiative in
the model would provide an
opportunity to collect data from the
patient’s perspective, data that is
necessary to finalize and test the
measure specifications, including the
risk model. In the proposed rule, we
shared how access to this national
representative voluntarily submitted
data would enable us to do the
following:
• Determine a parsimonious set of
risk factors that are statistically
adequate for risk adjustment for patientreported outcome.
• Examine the differences in hospital
performance related to different
components in the patient-reported
outcome (such as functional status,
pain, etc.) to finalize the statistical
modeling methodology for risk
adjustment.
• Evaluate the reliability of the
patient-reported outcome measure.
• Examine validity of the patientreported outcome measure upon
finalization of the risk adjustment
model via potential testing methods
such as face validity testing with
national experts, comparing the measure
results to similar results based on other
data sources if feasible, etc.
We also addressed the importance of
encouraging participation with
voluntary data submission of patient-
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73487
reported outcome data, so we proposed
to reward voluntary participation in
submission of THA/TKA patientreported outcome-based measure data as
outlined in section III.D.3.a. of the
proposed rule. We also indicated that
we would not publicly report the THA/
TKA voluntary data.
Finally, we shared our intention to
use a fully tested and completed THA/
TKA patient-reported outcome-based
measure in CMS models or programs
when appropriate. We stated that if
there is a decision to implement the
fully developed THA/TKA patientreported outcome-based measure, such
as in the CJR model, we would propose
to adopt the measure through noticeand-comment rulemaking. We also
referenced draft measure specifications
in the Downloads section of the
Measure Methodology Web page at
https://www.cms.gov/Medicare/QualityInitiatives-Patient-AssessmentInstruments/HospitalQualityInits/
Measure-Methodology.html.
The following is a summary of the
comments received and our responses.
Please note the use of the following
acronyms: (1) Patient-reported outcome
will be noted as PRO; (2) patientreported outcome measure (PROM) is a
patient-reported outcome survey
instrument; and (3) patient-reported
outcome-based performance measure
will be noted as PRO–PM. These terms
are consistent with the National Quality
Forum Patient Reported Outcomes
(PROs) in Performance Measurement,
January 10, 2013 (available at: https://
www.qualityforum.org/Publications/
2012/12/Patient-Reported_Outcomes_
in_Performance_Measurement.aspx).
Comment: Many commenters
supported CMS’s goal to measure and
improve patient-reported outcomes.
Many commenters supported the PRO
data voluntary reporting proposal.
Multiple commenters specifically urged
CMS to adopt the proposal to gather
PRO data for the purpose of completing
development of the hospital-level THA/
TKA PRO–PM. A commenter supported
linking the reconciliation payment to
quality performance. A commenter
supports the financial incentive for
hospitals that participate in the
voluntary data collection initiative.
Response: For a detailed discussion of
the payment perspective for use of the
THA/TKA voluntary PRO data in
determining reconciliation payment,
including our responses to public
comments, we refer readers to section
III.C.5.b.(5)(b) through III.5.b.(5)(c) of
this final rule.
Comment: Several commenters
recommended that CMS fully develop
the PRO–PM before implementing the
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measure’s use in a payment model.
Several commenters stated that the
proposed quality measures are not
rigorous in the way in which they were
developed and the selection of
specifications such as PROM
instruments in the PRO–PM.
Response: We note that the purpose of
this voluntary PRO and risk variable
data collection is to complete the
development of a THA/TKA PRO–PM.
We will not use the THA/TKA
voluntary and limited risk variable data
to assess hospitals’ performance, but
instead will use the voluntary submitted
data to complete development of a
PRO–PM measure for future use in the
CJR model. Finally, we would like to
use the innovative strategy to encourage
THA/TKA voluntary PRO and risk
variable data submission by rewarding
hospitals that successfully submit THA/
TKA voluntary and risk variable data.
We believe our measure development
process is rigorous and transparent. We
created a list of candidate PROM
instruments following an environmental
scan and literature review. Our measure
development contractor convened a
Technical Expert Panel through a public
process. Based on input from the
Technical Expert Panel and a public
comment period, we proposed
validated, non-proprietary PROMs that
have been tested in patients undergoing
THA/TKA or, in the case of the
PROMIS-Global, had undergone
rigorous testing during development
with plans to test in patients undergoing
THA/TKA. The final rule is limited to
a voluntary PRO data collection
initiative that will inform our standard
measure development process set forth
in NQF guidance for outcome
measures,87 CMS Measures
Management System (MMS) guidance,88
and the guidance articulated in the
American Heart Association Statement
‘‘Standards for Statistical Models Used
for Public reporting of Health
Outcomes.’’ 89 Once finalized, the THA/
87 National Quality Forum. Measure Evaluation
Criteria and Guidance. April 2015. Available at:
https://www.qualityforum.org/Measuring_
Performance/Submitting_Standards.aspx. Accessed
on September 22, 2015.
88 Measures Management System Overview.2015;
https://www.cms.gov/Medicare/Quality-Initiatives
Patient-AssessmentInstruments/MMS/
?redirect=/MMS/19_MeasuresManagementSystem
Blueprint.asp. Accessed September 8, 2015.
89 Krumholz H, Brindis R, Brush J, et al.
Standards for Statistical Models Used for Public
Reporting of Health Outcomes: An American Heart
Association Scientific Statement from the Quality of
Care and Outcomes Research Interdisciplinary
Writing Group: Cosponsored by the Council on
Epidemiology and Prevention and the Stroke
Council. Endorsed by the American College of
Cardiology Foundation. Circulation. Jan 24
2006;113(3):456–462.
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TKA PRO–PM that will be developed
using the voluntary PRO and risk
variable data will be incorporated into
the CJR model through rulemaking to
address public comments strongly
recommending the model include a
measure of functional status. The
application of a patient-reported
outcome measure in the CJR model is
important for providers to understand
where they can adjust or change their
processes in order to improve the care
they are providing. Having a PRO–PM
measure will also provide important
information about provider care for the
beneficiaries and their families and
caretakers.
Comment: A commenter
recommended that CMS facilitate
collaboration among hospitals to share
best practices for PRO data collection.
Response: We agree with the
commenter’s recommendation. We
intend to support hospitals that choose
to collect PRO data as part of the CJR
model by providing education and
dissemination of successful practices.
Comment: A commenter
recommended reporting separate total
hip and knee arthroplasty PRO–PMs.
Response: We appreciate the
recommendation to report separate total
hip and knee arthroplasty measures. As
indicated on pages 14 and 16 in the
Patient-Reported Outcomes Following
Elective Primary Total Hip and/or Total
Knee Arthroplasty: Hospital-Level
Performance Measure(s) Phase 3
Measure Methodology Report posted on
the CMS Web site at: https://www.cms.
gov/Medicare/Quality-InitiativesPatient-Assessment-Instruments/
HospitalQualityInits/MeasureMethodology.html, we agree with the
commenter that hospital performance
for the care of THA and TKA patients
be assessed using separate PRO–PMs
and intend to develop a THA/TKA
PRO–PM that assesses THA and TKA
PROM results separately and then
combine them into a composite score
that preserves the distinctions in
clinical outcomes between these patient
groups if needed for adequate sample
sizes to ensure stable performance
estimates. The PRO-based measure
remains under development, and this
input will inform future measure
development work.
Comment: A commenter noted a high
response rate within their group, and
cautioned that poor response rates will
undermine validity and comparisons
across settings.
Response: We appreciate the
commenter’s support of measuring
PROs and concerns about obtaining
adequate PROM response rates and
applaud the commenter’s success in this
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realm. We encourage the commenter to
share any insights regarding optimizing
PRO response rates with CMS to further
this important measurement effort. We
appreciate the concern that poor
response rates will undermine the
validity of the data collected and the
ability to compare outcomes across
settings. We note that section
III.D.3.a.(9) of this final rule addresses
this concern by finalizing a different
definition of successful THA/TKA
voluntary data submission.
Comment: Some commenters
recommended that the THA/TKA PRO–
PM should be tested, reviewed, and
endorsed by the NQF.
Response: We plan to submit the
THA/TKA PRO–PM to the appropriate
NQF project upon completion of
measure development.
Comment: A commenter urged CMS
to validate the risk adjustment
methodology before hospitals’ results on
the PRO–PM are reported on the
Hospital Compare Web site (https://
www.hospitalcompare.hhs.gov/) or the
Physician Compare Web site (https://
www.medicare.gov/physiciancompare/).
Response: We note that the THA/TKA
PRO–PM is currently under
development. We plan to validate the
risk adjustment methodology prior to
implementing the measure into any
public reporting program. As noted in
the proposed rule (80 FR 41290), the
THA/TKA voluntary data will not be
publicly reported, but instead a symbol
will used to acknowledge CJR model
hospitals that successfully submitted
the voluntary data.
Final Decision: After consideration of
the public comments, we wanted to
express our appreciation for the support
for this THA/TKA voluntary PRO data
submission initiative. As with all of our
measures in development, when
appropriate, they are reviewed by NQF
for endorsement and by the NQF
Measure Applications Partnership for
implementation in programs. Finally,
we appreciate the recommendations to
facilitate collaboration among hospitals
to share best practices for PRO data
collection and, as stated previously, will
be looking for ways to support this
recommendation. We are finalizing the
THA/TKA voluntary PRO and risk
variable data submission initiative as
previously discussed.
(2) Data Sources
In the proposed rule (80 FR 41285),
we shared that this measure is under
development, and we proposed to
reward participant hospitals that
volunteer to submit provider- and
patient-level data elements. We shared
our observation that currently, there is
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little uniformity across hospitals
regarding collection of specific
provider- and patient-level data
elements that are used to assess patient
outcomes after THA and TKA inpatient
procedures. We also shared for the
voluntary data submission for the THA/
TKA patient-reported outcome-based
measure initiative, our goal to identify
a uniform set of provider- and patientlevel data elements that are accurate,
valid, and reliable pieces of information
that can be used in the determination of
improvement in various patient
characteristics like those previously
listed (that is, pain, mobility, and
quality of life). We also shared our goal
to minimize patient, provider and
hospital burden associated with data
collection and submission of providerand hospital-level data elements, by
proposing a variety of data sources for
measure development. We provided the
following three categories of anticipated
data sources for public comment:
• Patient-reported data.
• Administrative claims-based data.
• One or both physician-reported and
electronic health record data.
As a way to minimize burden on
patients, providers, and hospitals we
proposed to request that participant
hospitals provide administrative claimsbased data whenever possible; we also
requested that participant hospitals
submit either hospital documentation,
chart abstraction, or abstraction from the
electronic health records. The list of
proposed data elements are summarized
in the proposed rule (80 FR 41285).
Finally, we stated that as the measure
continues to undergo development that
the list of data elements may be
simplified consistent with our
previously stated goal in this section
entitled Data Sources, that we intend to
identify a uniform set of provider- and
patient-level data elements that are
accurate, valid and reliable pieces of
information that can be used in the
determination of improvement in
various patient-reported outcomes like
those previously listed (that is, pain,
mobility, and quality of life). We shared
our anticipation that via public
comment and experience with the
voluntary data submission, that the set
of data elements listed previously will
be simplified.
In accordance with, and to the extent
permitted by, the HIPAA Privacy Rule
and other applicable law, we proposed
to request that participant hospitals
submit the data specified in the request,
which we would limit to the minimum
data necessary for us to conduct quality
assessment and improvement activities.
Regarding the process for data
collection, we proposed the THA/TKA
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voluntary data will be submitted to and
collected by a CMS contractor in a
manner and format similar to existing
CMS data submission processes. For
example, CMS would supply applicable
hospitals with a file template and
instructions for populating the file
template with data and submitting the
data; the hospitals will populate the
template, log in to a secure portal, and
transmit the file to the appropriate CMS
contractor; the CMS contractor would
also match the submitted data to
Medicare administrative claims-based
data and calculate completeness for
determination of the reconciliation
payment as noted in section III.C.5. of
the proposed rule (or validated
subscales or abbreviated versions of
these instruments). We stated our belief
that participation in the submission of
THA/TKA—voluntary data will provide
the minimum information we would
need that would inform us on how to
continuously improve the currently
specified measure in development.
Finally, we noted that some of these
data elements are closely aligned with
data elements in electronic clinical
quality measures submitted by eligible
professionals for the Medicare EHR
Incentives Program for Eligible
Professionals. Specifically these EHR
Incentives Program measures for eligible
professionals are: (1) Functional Status
Assessment for Knee replacement (CMS
66); and (2) Functional Status
Assessment for Hip replacement (CMS
56). We refer reviewers to CMS.gov EHR
Incentives Program 2014 Eligible
Professional June 2015 zip file update at
https://cms.gov/Regulations-andGuidance/Legislation/
EHRIncentivePrograms/Downloads/
eCQM_2014_EP_June2015.zip for full
measure specifications. We stated our
belief that it is possible that many
health IT vendors are already certified
to capture, calculate and report these
provider-level measures of functional
status on total knee and total hip
arthroplasty, and therefore we anticipate
that the provider-level data elements
that are identical to the THA/TKA
patient-reported outcome voluntary data
elements previously listed may not be as
burdensome for the CJR model
participant hospitals to voluntarily
submit.
The following is a summary of the
comments received and our responses.
We received many public comments on
the Data Sources section and have
divided the public comments and our
responses into two categories—(1)
Public comments not specifically
related to the proposed PRO and risk
variable data elements (80 FR 41825);
and (2) public comments specifically
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73489
related to the proposed PRO and risk
variable data elements.
The following are public comments
made that are not specifically on the
proposed instruments (80 FR 41825)
and our responses.
Comment: A commenter questioned
whether CMS will include economic or
clinician-reported outcomes in addition
to clinical outcomes.
Response: We will be capturing
generic health-related quality of life
assessments with the VR–12 and
PROMIS-Global, which will supplement
the clinical outcomes of the HOOS/
KOOS Jr. or specified HOOS/KOOS
subscales (see Table 28). We will not be
capturing patient-reported economic or
clinician-reported outcomes. The
purpose of this voluntary PRO data
collection is to complete the
development of a THA/TKA PRO–PM.
We will not use the THA/TKA
voluntary data to assess hospitals’
performance during Years 1–3 of the
CJR model, but instead will use the
submitted data to complete
development of a PRO–PM measure.
Finally, we would like to use the
innovative strategy to encourage THA/
TKA voluntary data submission by
rewarding hospitals that successfully
submit THA/TKA voluntary data during
Years 1–3. Comparisons with other
outcome measures can be made when
such a measure is fully developed. Once
finalized, the THA/TKA PRO–PM that
will be developed using the voluntary
PRO and risk variable data will be
incorporated into the CJR model
through rulemaking to address public
comments strongly recommending the
model include a measure of functional
status.
Comment: A few commenters
recommended that CMS use existing
measures, such as Functional Status
Change for Patients with Knee
Impairments (NQF #0422) and
Functional Status Change for Patients
With Hip Impairments (NQF #0423),
both of which are stewarded by Forum
on Therapeutic Outcomes, Inc. (FOTO),
to measure patients’ functional status in
the CJR model. The commenters stated
that these NQF-endorsed measures are
in the public domain, are economical
and are not burdensome to patients or
clinicians. The commenters noted that
these measures are already in use in the
PQRS and that developing a new
measure instrument is an imprudent use
of government resources.
Response: To the best of our
knowledge, the FOTO measures (NQF
#0422 and #0423) are not specifically
tested in THA/TKA patients, but rather
medical patients with hip or knee
complaints who initiated rehabilitation
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treatment. We also note that, to the best
of our knowledge, the FOTO measures
lack data demonstrating the validity in
the elective primary THA/TKA patient
population. Furthermore, although the
FOTO measures are NQF-endorsed and
in the public domain, to the best of our
knowledge, the measures can only be
reported using a proprietary web-based
patient assessment system to collect the
data. In keeping with our goal to
minimize burden for hospitals and after
receiving input in previous rulemaking
urging CMS to avoid adoption of rules
that require or incentivize that hospitals
use proprietary tools, such as
interoperability standards (71 FR
68198), or pay to participate in a
specific registry (73 FR 48609), we have
decided not to pursue these measures.
As such, we prioritized the use of nonproprietary PROM instruments as part
of the PRO data collection initiative.
Finally, we note that we are not
developing a PROM instrument and
therefore disagree that CMS is acting
unwisely with government resources.
On the contrary, we have investigated
using instruments that are in the public
domain and are non-proprietary. The
purpose of this voluntary PRO and risk
variable data collection is to complete
the development of a THA/TKA PRO–
PM. We will not use the THA/TKA
voluntary and risk variable data to
assess hospitals’ performance, but
instead will use the voluntary submitted
data to complete development of a
PRO–PM measure. Finally, we would
like to use the innovative strategy to
encourage THA/TKA voluntary and risk
variable data submission by rewarding
hospitals that successfully submit THA/
TKA voluntary data. We note that the
THA/TKA voluntary and risk variable
data will assess hospital quality of care
for patients undergoing elective primary
THA/TKA procedures. Once finalized,
the THA/TKA PRO–PM that will be
developed using the voluntary PRO and
risk variable data will be incorporated
into the CJR model through rulemaking
to address public comments strongly
recommending the model include a
measure of functional status.
Comment: A commenter stated
developing a new measurement
instrument for this project and
specifically for THA and TKA patients
is unnecessary, time-consuming, and
costly.
Response: To clarify, we are not
developing a PROM instrument. We will
use existing, validated, non-proprietary
PROM instruments for a voluntary PRO
data collection for the development of a
future hospital-level patient-reported
outcomes performance measure.
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Comment: A few commenters
recommended expanding the PRO–PM
to capture patients’ experience in PAC
settings.
Response: The purpose of this
voluntary PRO data collection is to
complete the development of a THA/
TKA PRO–PM. We will use the THA/
TKA voluntary data to complete
development of a PRO–PM measure. We
note that, the intention of the future
PRO–PM measure is to capture patientreported outcomes that are meaningful
to patients undergoing elective primary
THA/TKA procedures. As the purpose
of a majority of elective primary THA/
TKA procedures is the long-term
improvement in pain and functional
outcomes, we believe that measuring
such outcomes and attributing them to
the hospital where the procedure is
performed is most appropriate. We will
consider adapting any future measure to
other care settings as appropriate.
Comment: A few commenters
recommended that CMS consider
performance-based measures of
function, such as the 6-minute walk test.
Response: We appreciate the
commenter’s input. The decision to
focus on patient-reported assessments
rather than functional performance
assessment reflects CMS’s commitment
to patient-centered care. The validated
PRO instruments that are proposed for
voluntary data collection reflect
outcomes meaningful to patients. A
functional performance assessment
offers an objective evaluation of
function, but may not accurately reflect
the patient’s own experience and health
status; one individual may experience a
marked improvement in their 6-minute
walk test after THA, but they may be
unable to rise from a seated position or
bend over to tie their shoes or pick up
an object, which are critical functional
outcomes not necessarily captured by a
6-minute walk test. Once fully
developed, the THA/TKA PRO–PM,
which will be developed using the
voluntary PRO and risk variable data
and will capture functional outcomes
such as those stated in the text (ability
to rise from a seated position or bend,
to tie their shoes), will be incorporated
into the CJR model in the future,
through rulemaking, and therefore will
address public comments strongly
recommending the model include a
measure of functional status.
Comment: A commenter expressed
concern that data obtained from PROMs
are mostly comprised of patientsubjective responses.
Response: We believe that patientreported outcomes are a critical type of
outcome needed for healthcare quality
assessment. PROMs are intended to
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capture patients’ self-assessments of
their health. They provide a direct way
to capture patients’ experience of care
and its results. PROMs can assess
multiple health domains, including
physical health, emotional well-being,
and social functioning, through
measuring outcomes relevant to each
domain, such as symptoms, functional
status, and mental status. As a result,
they provide rich information on how
care affects multiple dimensions of
patients’ well-being. PROMs can
provide timely information on patient
health status, function, and symptoms
over time that can be used to improve
patient-centered care and inform
clinical decision-making.90
Comment: A commenter
recommended using the PRO data to
develop three registries: Hip implants,
knee implants, and surgeon-specific
performance.
Response: The purpose of this
voluntary PRO data collection is to
complete the development of a THA/
TKA PRO–PM. We will not use the
THA/TKA voluntary PRO and risk
variable data to assess hospitals’
performance, but instead will use the
voluntary submitted data to complete
development of a PRO–PM measure.
Finally, we would like to use the
innovative strategy to encourage THA/
TKA voluntary and risk variable data
submission by rewarding hospitals that
successfully submit THA/TKA
voluntary data. Once finalized, the
THA/TKA PRO–PM, that will be
developed using the voluntary PRO and
risk variable data, will be incorporated
into the CJR model through rulemaking
to address public comments strongly
recommending the model include a
measure of functional status. There are
several existing regional and national
registries, many in collaboration with
surgical specialty societies, which are
collecting data on a variety of outcomes
and information about patients
undergoing THA/TKA procedures.
Comment: Several commenters
suggested that CMS work with joint
registries to which hospitals voluntarily
report to reduce burden by using
existing mechanisms of data collection.
A commenter suggested CMS partner
with the California Joint Replacement
Registry (CJRR). Other commenters
suggested CMS partner with the
90 Cella D, Hahn EA, Jensen SE., Butt Z, Nowinski
CJ, Rothrock N. Methodological Issues In The
Selection, Administration And Use Of PatientReported Outcomes In Performance Measurement
In Health Care Settings: Final Manuscript. Prepared
for the National Quality Forum Consensus
Development Project on Patient-Reported
Outcomes. September 28, 2012.
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American Joint Replacement Registry
(AJRR).
Response: We note that we have been
collaborating with CJRR and AJRR as
part of the development of the THA/
TKA PRO–PM. However, at this time we
are not requiring hospitals to pay to
participate in specific registries as part
of the PRO data collection initiative. We
note that previous public comments
regarding the use of proprietary
registries urged CMS to avoid adoption
of policies that require or incentivize
hospitals to join a specific registry (73
FR 48609) in order to provide data for
CMS quality and payment programs.
Comment: Several commenters
requested that CMS make patientreported data collection a mandatory
component of the CJR model. Some of
the commenters suggested significantly
increasing incentives for patientreported data collection under the
proposed voluntary approach.
Commenters suggested a phase-in
approach to fully implementing the
fully developed patient-reported
outcome performance-based measure as
part of the CJR model.
Response: We appreciate the
suggestion to make the THA/TKA
voluntary data collection mandatory
and may consider it as we continue to
improve the model. We did not make
this initiative to collect THA/TKA PRO
data mandatory for the following
reasons: (1) This is a measure in
development; and (2) we sought not to
burden hospitals with additional
financial costs while testing a new
payment structure. We believe this is
consistent with a phase-in approach to
fully implementing the fully developed
patient-reported outcome performancebased measure as part of the CJR model.
The following are public comments
that specifically address the proposed
instruments and our responses include
the following:
Comment: A few commenters
recommended the use of Oxford Hip
and Knee Scores (OHS/OKS) which are
two separate PROM instruments. A
commenter suggested the Oxford
PROMs have been evaluated
independently and found to be the most
reliable systems for assessment of hip
and knee replacement.
Response: We appreciate the
commenter’s recommendation to use the
OHS/OKS. We considered the OHS/
OKS as candidate PROM instruments. In
the early phases of measure
development, we created a list of
candidate PROMs through an
environmental scan and literature
review. Then, a Technical Expert Panel
convened by our measure development
contractor reviewed the list of candidate
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PROMs. The Technical Expert Panel
questioned the usability of the OHS/
OKS and expressed concern over their
proprietary nature, and recommended
removing them from the list of
candidate PROMs. The conditionspecific PROMs recommended by the
Technical Expert Panel and proposed
for this model represent validated, nonproprietary PROMs that have been
tested in patients undergoing THA/
TKA. For additional rationale for the
selected PROM instruments, we refer
readers to page 20 of the PatientReported Outcomes Following Elective
Primary Total Hip and/or Total Knee
Arthroplasty: Hospital-Level
Performance Measure(s) Phase 3
Measure Methodology Report posted on
the CMS Web site at: https://
www.cms.gov/Medicare/QualityInitiatives-Patient-AssessmentInstruments/HospitalQualityInits/
Measure-Methodology.html.
Comment: A few commenters
requested that CMS use non-proprietary
(or open access) PROM instruments to
avoid requiring purchasing and
maintenance costs.
Response: We agree with the
commenters and note that the proposed
PROM instruments are non-proprietary
instruments. We received similar input
in previous rulemaking urging CMS to
avoid adoption of rules that require or
incentivize that hospitals use
proprietary tools, such as
interoperability standards (71 FR
68198), or pay to participate in a
specific registry (73 FR 48609). As such,
we prioritized the use of nonproprietary PROM instruments as part
of the PRO data collection initiative.
Comment: A commenter shared, and
did not suggest, a list of THA PROM
instruments currently in use at their
health system: VR–12, HOOS, UCLA
Activity Level Rating Form, and
Modified Harris Hip Form. The
commenter also shared a list of
instruments that are in development to
be used across their health system’s
orthopedic sites: FAAM Sport, quick
DASH, Forgotten Joint Score, KOOS,
Knee Society Score, Neck Disability
Index, SRS–22, DASH, Pelvic Floor
Disability Inventory-20, and PODCI.
Response: We appreciate the list of
instruments in use at the commenter’s
health system. We note that we
reviewed many of these instruments, as
did the Technical Expert Panel
convened by our measure development
contractor. Among the listed
instruments, the Technical Expert Panel
strongly favored the VR–12, HOOS, and
KOOS because of their appropriateness
for the primary elective THA/TKA
patient population. We provide further
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73491
rationale on our selection of PROM
instruments in response to other
comments within this rule. Nonetheless,
we applaud the commenter’s use of
PROM THA instruments to assess
quality and patient outcomes on those
under their care. We also appreciate the
added knowledge shared by the
commenters regarding their instruments
under development.
Comment: A commenter
recommended obtaining PROM data as
early as 90 days postoperative. Another
commenter recommended obtaining
postoperative PROM data not less than
6 months after discharge for the THA or
TKA. A commenter recommended
obtaining postoperative PROM data not
less than nine months after discharge for
the THA or TKA.
Response: The window for postoperative data collection was selected
based upon consultation with national
clinical experts and empiric data from
literature indicating that patients
continue to improve until
approximately 180 days postoperatively and have generally
experienced the full benefit of their
surgery by 270 to 365 days after THA/
TKA. Moreover, the post-operative data
collection period between 270 to 365
days aligns with one-year follow-up
visits and thus, addresses the concern of
low post-operative PROM completion
rate if administered prior to 270 days.
For additional rationale and citations,
we refer readers to page 18 in the
Patient-Reported Outcomes Following
Elective Primary Total Hip and/or Total
Knee Arthroplasty: Hospital-Level
Performance Measure(s) Phase 3
Measure Methodology Report posted on
the CMS Web site at: https://
www.cms.gov/Medicare/QualityInitiatives-Patient-AssessmentInstruments/HospitalQualityInits/
Measure-Methodology.html.
Comment: A commenter
recommended that CMS consider using
the Forgotten Joint Knee Score. Another
commenter recommended the SF–36.
Response: We considered the SF–36
and SF–12, a shorter version of the SF–
36, as alternative to the VR–12, as did
the Technical Expert Panel convened by
our measure development contractor.
The Forgotten Joint Knee Score had not
been published at the time of our
literature review and environmental
scan and was not raised by the
Technical Expert Panel as an option.
The SF–36, SF–12 and the Forgotten
Joint Knee Score are all proprietary
instruments, and after consideration of
these instruments and prior situations
in which proprietary tools or databases
were suggested and not found favorable
with the public, we decided on the non-
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proprietary VR–12, PROMIS-Global,
HOOS Jr. and KOOS Jr. (or HOOS/
KOOS subscales listed in Table 28). We
believe using non-proprietary
instruments will not place an added
financial burden on CJR model
participant hospitals.
Comment: A commenter requested
that CMS develop a ‘‘gold standard’’
PROM instrument that is easily
administered and has a small and
targeted number of questions.
Response: We appreciate the
commenter’s recommendation, and we
note that we are not currently
developing a PROM instrument. CMS is
developing a PRO–PM outcomes
measure and not the instrument to
collect functional outcome data. The
purpose of this voluntary PRO data
collection is to collect the data required
to develop the future PRO-based
performance measure that will assess
hospital quality of care for patients
undergoing elective primary THA/TKA
procedures. We believe that there are
numerous instruments already available
in the public domain, which through
our Technical Expert Panel have been
recommended for our consideration in
the THA/TKA PRO–PM in
development.
Comment: A commenter supported
the proposal to collect the VR–12 and
PROMIS Global instruments. Several
commenters supported the proposal to
use the HOOS and KOOS instruments.
Many commenters recommended
allowing participating hospitals to
submit either the VR–12 or the PROMIS
Global instruments to satisfy the PRO
data collection requirement because the
proposed required PRO data elements
for the voluntary PRO data collection
are too burdensome. Several
commenters specifically recommended
PROMIS Global, but not VR–12 because
it is duplicative and does not add value.
Response: We appreciate the
commenters’ input on the PRO
voluntary data collection proposal. We
appreciate the support of our proposal
to collect the VR–12 and PROMIS
Global instruments and the HOOS or
KOOS instruments.
We also appreciate the public
comments that indicated that the
proposed required PRO data elements
for the voluntary PRO data collection
are too burdensome. We acknowledge
evidence indicating that the PROMISGlobal and VR–12 are highly
correlated.91 Based on the supporting
91 Schalet BD, Rothrock NE, Hays RD, Kazis LE,
Cook KF, Rutsohn JP, Cella D. Linking Physical and
Mental Health Summary Scores from the Veterans
RAND 12-Item Health Survey (VR–12) to the
PROMIS® Global Health Scale. J Gen Intern Med.
2015 Jul 16. [Epub ahead of print]
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evidence, and in response to public
comments, we will allow CJR model
hospital participants to collect and
submit either the VR–12 or the PROMISGlobal for purposes of determining
‘‘successful’’ voluntary patient-reported
outcome data collection. These data
must be collected both pre-operatively
(90 to 0 days prior to the THA/TKA
procedure) and post-operatively (270 to
365 days after the THA/TKA
procedure). As hospitals may already be
collecting VR–12 or PROMIS-Global
data for other purposes, we believe
providing this option for submitting to
CMS data using either instrument is the
least burdensome option for hospitals.
Comment: Several commenters
supported CMS’s consideration of an
abbreviated version of HOOS/KOOS.
Commenters recommended the HOOS/
KOOS pain and function subscales, the
Western Ontario and McMaster
Universities Osteoarthritis Index
(WOMAC), or the HOOS Jr/KOOS Jr as
possible alternatives to the full HOOS/
KOOS, and cautioned that both pain
relief and functional gain are important
outcomes and that both should be
measured. Specifically, a joint statement
from multiple surgical specialty
societies indicated new data validating
shortened versions of the HOOS/KOOS
instruments in THA/TKA patients.
These shortened versions have been
named the HOOS Jr. (6 items) and
KOOS Jr. (7 items); both shorter versions
are highly responsive in the THA/TKA
patient population (standardized
response means 1.7 to 2.4). In addition,
the HOOS/KOOS Jr. were highly
correlated with the Pain and Function,
Daily Living subscales of the full HOOS/
KOOS instruments and the Western
Ontario and McMaster Universities
Osteoarthritis Index (WOMAC)
(Spearman’s correlation 0.80–0.94).
These findings on the HOOS/KOOS Jr.
were presented at the 2015 AAOS
Annual Meeting 92 and 2015
International Society of Arthroplasty
Registries (ISAR) Annual Meeting,
respectively.
Response: We note that the WOMAC
is a proprietary instrument. As
previously discussed, we sought not to
burden hospitals with a proprietary
instrument and therefore did not
consider this instrument.
Regarding the HOOS/KOOS PROMs,
we appreciate the consistent comment
that the HOOS/KOOS instruments for
this specific voluntary PRO data
submission proposal are too
burdensome. These instruments were
92 Lyman S, Lee YY, Padget DE. HOOS, JR. a
shorter hip outcomes survey. Podium (#413) AAOS
2015 Annual Meeting, Las Vegas, NV.
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recommended by a diverse, nationally
convened Technical Expert Panel
assisting our contractor with the
development of this measure. During
review of these instruments, the
Technical Expert Panel acknowledged
the length of the instruments as a
limitation for its use. For reasons
outlined in prior responses, the
Technical Expert Panel recommended
these instruments over shorter,
proprietary joint-specific PROM
instruments. We noted in review of the
public comments, a joint statement from
multiple surgical specialty societies
indicated new data validating shortened
versions of the HOOS/KOOS
instruments in THA/TKA patients.
Further, the HOOS/KOOS instruments
were originally developed to create five
specific subscale scores: Pain, other
Symptoms, Function in daily living
(ADL), Function in sport and recreation
(Sport/Rec) and knee related Quality of
life (QOL) (https://www.koos.nu/).
Based upon the fact that the HOOS/
KOOS instruments were developed to
create specific subscale scores intended
for independent scoring as well as
additional evidenced-based data
supporting the use of meaningful
information on THA/TKA PROMs
gathered in substantially less
burdensome, non-proprietary
instruments and broadly supported by
the orthopedic community, we believe it
is reasonable to replace the previously
proposed collection of the full HOOS or
KOOS survey with the shorter HOOS Jr.
and KOOS Jr. or with the following list
of HOOS and KOOS subscales.
For hospitals seeking to voluntarily
collect and submit PRO data on THA
patients, we would require collection
and submission of all of the following
for purposes of determining
‘‘successful’’ voluntary patient-reported
outcome data collection:
• Either VR–12 or PROMIS-Global
[collected both pre-operatively (90 to 0
days prior to the THA procedure) and
post-operatively (270 to 365 days after
the THA procedure], the revised list of
risk variables [Table 28, collected only
pre-operatively (90 to 0 days prior to the
THA procedure)], and
• Either (A) the HOOS Jr. (6 items
total) [collected both pre-operatively (90
to 0 days prior to the THA procedure)
and post-operatively (270 to 365 days
after the THA procedure] or (B) the
original HOOS Pain Subscale (10 items),
AND the original HOOS Function, Daily
Living Subscale (17 items, for a total of
27 items) [collected both pre-operatively
(90 to 0 days prior to the THA
procedure) and post-operatively (270 to
365 days after the THA procedure].
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For hospitals seeking to voluntarily
collect and submit PROM data on TKA
patients, we will require collection and
submission of all of the following for
purposes of determining ‘‘successful’’
voluntary patient-reported outcome data
collection:
• Either VR–12 or PROMIS-Global
[collected both pre-operatively (90 to 0
days prior to the TKA procedure) and
post-operatively (270 to 365 days after
the TKA procedure)], the revised list of
risk variables [Table 28, collected only
pre-operatively (90 to 0 days prior to the
TKA procedure)], and
• Either (A) the KOOS Jr. (7 items
total) [collected both pre-operatively (90
to 0 days prior to the TKA procedure)
and post-operatively (270 to 365 days
after the TKA procedure)] or (B) the
original KOOS Stiffness Subscale (2
items), AND the original KOOS Pain
Subscale (9 items) and the original
KOOS Function, Daily Living Subscale
(17 items, for a total of 28 items)
[collected both pre-operatively (90 to 0
days prior to the TKA procedure) and
post-operatively (270 to 365 days after
the TKA procedure)].
Finally, the PROM instrument data
will be collected both pre-operatively
(90 to 0 days prior to the THA/TKA
procedure) and post-operatively (270 to
365 days after the THA/TKA
procedure); the risk variables (Table 28)
will be collected only pre-operatively
(90 to 0 days prior to the THA/TKA
procedure). The HOOS/KOOS domain
of Quality of Life will be captured by
the validated generic instruments (VR–
12 or PROMIS-Global); the HOOS/
KOOS domain of Function, Sports and
Recreational Activities includes
questions regarding activities (for
example, running) that THA/TKA
patients are commonly advised to
restrict or avoid after surgery and, as
such, is less applicable to this patient
population.
Comment: A few commenters raised
concerns with the HOOS and KOOS
instruments, stating that summary
scores are not available and the data
may not be usable by clinicians. These
commenters recommended CMS use
generic PROM instruments in place of
the HOOS and KOOS, specifically
recommending the PROMIS Physical
Function Scale, Activity Measure for
Post-Acute Care (AM–PAC) Basic
Mobility Scale, and OA-Function and
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Disability Computer Adaptive Tests. In
addition, they recommended CMS
consider instruments that utilize item
response theory (IRT) to develop
calibrated item banks to measure
physical function and mobility.
Response: We appreciate the
commenters’ concerns about the HOOS/
KOOS instruments and have changed
the PROM instruments to be submitted
as part of the voluntary PRO data
collection. Please see our preceding
response to other comments for details
about the revised PROM instruments for
submission that we will be finalizing.
The new HOOS/KOOS Jr. instruments
provide a single summary score that is
strongly correlated with pain and
function. In addition, each of the
HOOS/KOOS subscales yields its own
score. These data, combined with input
from this public comment, will be used
to develop the THA/TKA PRO–PM.
During development of the THA/TKA
PRO–PM, we will work with patients,
clinicians and technical experts to
produce a final measure that provides
meaningful information on patients’
function and symptoms following
elective primary THA/TKA. We also
appreciate the commenters’
recommendation to use the PROMIS
Physical Function Scale, AM–PAC Basic
Mobility Scale, and OA-Function and
Disability Computer Adaptive Tests for
the voluntary PRO data collection. The
Technical Expert Panel convened by our
measure development contractor
discussed the PROMIS Physical
Function Scale but favored selection of
a combination of joint-specific and
generic PROM instruments to capture
the domains of pain and function most
relevant to patients and clinicians. The
Technical Expert Panel also endorsed
the use of item response theory with
computer adaptive testing (CAT),
specifically in reference to non-THA/
TKA PROMs developed by NIH, such as
the PROMIS® Computer Adaptive Test
(https://www.nihpromis.org/software/
demonstration), as a means to reduce
the number of questions while still
obtaining meaningful outcome
information. However, the Technical
Expert Panel acknowledged that CAT
instruments are relatively new and still
under-developed for use in performance
measurement for THA/TKA patient
outcomes and require specific software
and/or hardware to collect the data. In
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73493
order to minimize provider as well as
patient burden, we have reduced the
number of data elements to be
submitted for the voluntary PRO data
collection and have chosen to avoid
proprietary instruments, and at this time
chosen to delay using instruments that
require specific technology to complete
collection. We will continue to review
the selection of PROM instruments as
the technology and science advances for
its ease of use and degree of burden on
hospitals.
Comment: A commenter suggested
that CMS assess the patient-acceptable
symptom state (‘‘the highest level of
symptom beyond which patients
consider themselves well’’) and
minimum clinically important change
(‘‘the smallest change in measurement
that signifies an important
improvement’’) 93 in addition to the
proposed PRO data elements.
Response: These options were
discussed with our contractor’s
Technical Expert Panel, and, based
upon the Technical Expert Panel’s aim
to utilize the most parsimonious list of
required data elements possible and our
goal to minimize the burden for
hospitals, we decided to delay
collecting additional data for this
model.
Comment: A commenter
recommended that CMS publish, as part
of the final rule, specific operational
definitions of all risk variables, such as
quantified spinal pain and knee
extensor strength, in order to allow
facilities to educate staff prior to data
collection.
Response: We agree that hospitals
cannot be expected to collect
meaningful clinical data for risk
adjustment without clear, reliable
specifications. Please refer to Table 28
that lists the revised list of risk variables
required for successful voluntary
patient-reported outcome data
collection. These variables will be
accompanied by one or more unique
patient identifier(s) as necessary to
enable matching of the PRO data with
administrative claims data.
93 Kvien TK, Heiberg T, Hagen KB. Minimal
clinically important improvement/difference (MCII/
MCID) and patient acceptable symptom state
(PASS): what do these concepts mean? Ann Rheum
Dis. 2007 Nov; 66(Suppl 3): iii40–iii41. doi:
10.1136/ard.2007.079798.
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Federal Register / Vol. 80, No. 226 / Tuesday, November 24, 2015 / Rules and Regulations
TABLE 28—SUMMARY OF PROPOSED AND FINALIZED LIMITED RISK VARIABLE AND PATIENT-REPORTED OUTCOME DATA
ELEMENTS TO BE SUBMITTED FOR SUCCESSFUL PARTICIPATION IN VOLUNTARY PATIENT-REPORTED OUTCOMES DATA
COLLECTION
Proposed voluntary PRO * and risk
variable data elements
Finalized PRO and risk variable
data elements
Definition of finalized PRO and
risk variable data elements
Age .................................................
N/A ................................................
Date of Birth ** ...............................
Date of Birth .................................
(Will be captured by linking to
claims data).
(MM/DD/YYYY) .............................
Gender ...........................................
N/A ................................................
Race and Ethnicity ** .....................
Race and Ethnicity .......................
.......................................................
(Will be captured by linking to
claims data).
Race: American Indian or Alaska
Native, Asian, Black or African
American, Native Hawaiian or
Other Pacific Islander, White.
Ethnicity: Hispanic or Latino, Not
Hispanic or Latino.
(Will be captured as possible by
linking to claims data).
(MM/DD/YYYY) .............................
THA or TKA procedure ..................
N/A ................................................
Date of admission to anchor hospitalization **.
Date of admission to anchor hospitalization.
Date of discharge from anchor
hospitalization.
Date of eligible THA/TKA procedure **.
N/A ................................................
Medicare Health Insurance Claim
Number **.
Unique Identifier ...........................
Medicare Health Insurance Claim
Number.
PROMIS Global (all items) ............
Generic PROM Instrument
THA and TKA Procedures.
for
VR–12 OR PROMIS-Global .........
VR–12 (all items.) ..........................
Generic PROM Instrument
THA and TKA Procedures.
for
VR–12 OR PROMIS-Global .........
For TKA patients Knee injury and
Osteoarthritis Outcome Score
(KOOS 75) (all items).
Knee-Specific PROM Instrument
for TKA Procedures.
For THA patients Hip disability and
Osteoarthritis Outcome Score
(HOOS 76) (all items).
Body Mass Index ** ........................
Hip-Specific PROM Instrument for
THA Procedures.
Pre-operative use of narcotics .....
KOOS Jr. Only OR KOOS Stiffness Subscale AND KOOS
Pain Subscale AND KOOS
Function, Daily Living Subscale.
HOOS Jr. Only OR HOOS Pain
Subscale AND HOOS Function,
Daily Living Subscale.
Body Mass Index (or height in cm
and weight in kg).
(Will be captured by linking to
claims data).
Provider-reported yes/no ..............
N/A ................................................
N/A ................................................
N/A ................................................
N/A ................................................
Presence of live-in home support,
including spouse.
Use of chronic (≥90 day) narcotics **.
American Society of Anesthesiologists (ASA) physical status
classification.
Charnley Classification ..................
Presence of retained hardware .....
Date of eligible THA/TKA procedure.
Body Mass Index (or height in cm
and weight in kg).
N/A ................................................
(Will be captured as possible by
linking to claims data).
(MM/DD/YYYY) .............................
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Total painful joint count 94** ...........
Patient-Reported Pain in Non-operative Lower Extremity Joint.
Quantified spinal pain ** .................
Patient-Reported
Back
Pain
(Oswestry Index question).
Joint range of motion in degrees
(specify hip or knee).
Use of gait aides ............................
For THA patients abductor muscles strength.
N/A ................................................
N/A ................................................
(Will be captured by linking to
claims data).
‘‘What amount of pain have you
experienced in the last week in
your other knee/hip?’’ (none,
mild, moderate, severe, extreme).95
‘‘My BACK PAIN at the moment
is’’ (none, very mild, moderate,
fairly severe, very severe, worst
imaginable).96 97
N/A ................................................
N/A ................................................
N/A ................................................
N/A ................................................
N/A ................................................
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Timing of collection
N/A.
¥90 to 0 days prior to and 270 to
365 days after THA/TKA procedure (to be used for linking to
claims data).
N/A.
¥90 to 0 days prior to THA/TKA
procedure.
N/A.
270 to 365 days after THA/TKA
procedure (to be used for linking to claims data).
N/A.
270 to 365 days after THA/TKA
procedure (to be used for linking to claims data).
¥90 to 0 days prior to and 270 to
365 days after THA/TKA procedure (to be used for linking to
claims data).
¥90 to 0 days prior to and 270 to
365 days after THA/TKA procedure.
¥90 to 0 days prior to and 270 to
365 days after THA/TKA procedure.
¥90 to 0 days prior to and 270 to
365 days after TKA procedure.
¥90 to 0 days prior to and 270 to
365 days after THA procedure.
¥90 to 0 days prior to THA/TKA
procedure.
N/A.
¥90 to 0 days prior to THA/TKA
procedure.
N/A.
N/A.
N/A.
¥90 to 0 days prior to THA/TKA
procedure.
¥90 to 0 days prior to THA/TKA
procedure.
N/A.
N/A.
N/A.
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73495
TABLE 28—SUMMARY OF PROPOSED AND FINALIZED LIMITED RISK VARIABLE AND PATIENT-REPORTED OUTCOME DATA
ELEMENTS TO BE SUBMITTED FOR SUCCESSFUL PARTICIPATION IN VOLUNTARY PATIENT-REPORTED OUTCOMES DATA
COLLECTION—Continued
Proposed voluntary PRO * and risk
variable data elements
Finalized PRO and risk variable
data elements
Definition of finalized PRO and
risk variable data elements
For THA patients presence of
Trendelenberg gait.
For THA patients history of congenital hip dysplasia or other
congenital hip disease.
For THA patients presence of angular, translational, or rotational
deformities of the proximal femur
(in degrees).
For TKA patients anatomic angle
(femoro-tibial angle) in degrees
with varus/valgus.
For TKA patients knee extensor
strength.
Single
Item
Health
Literacy
Screening (SILS2) questionnaire.**
N/A ................................................
N/A ................................................
N/A.
N/A ................................................
(Will be captured as possible by
linking to claims data).
N/A.
N/A ................................................
(Will be captured as possible by
linking to claims data).
N/A.
N/A ................................................
N/A ................................................
N/A.
N/A ................................................
N/A ................................................
N/A.
Patient-Reported Health Literacy
‘‘How comfortable are you filling
out medical forms by yourself?’’
(extremely, quite a bit, somewhat, a little bit, or not at all).98
¥90 to 0 days prior to THA/TKA
procedure.
Timing of collection
* PRO: Patient-reported outcome survey instrument (see National Quality Forum. Patient reported outcomes (PROs) in Performance Measurement. January 10, 2013. Available at: https://www.qualityforum.org/docs/measure_evaluation_criteria.aspx.
** Risk variable data element.
mstockstill on DSK4VPTVN1PROD with RULES2
Final Decision: After consideration of
the public comments we received, and
in response to many recommendations
from the public commenters, we are
finalizing fewer THA/TKA voluntary
PRO data submission variables
summarized in Table 28 for purposes of
‘‘successful’’ voluntary patient-reported
outcome data collection. We based our
decision to simplify the list of PROM
instruments on the numerous public
comments recommending simplification
of list to be the least burdensome. While
we appreciate the many suggestions for
other PROM instruments and to use
established joint replacement databases
and PRO-based measures, we note that
many of the suggestions included
94 Wallace LS, Rogers ES, Roskos SE, Holiday DB,
and Weiss BD. BRIEF REPORT: Screening Items to
Identify Patients with Limited Health Literacy
Skills. J Gen Intern Med. 2006;21(8):874–7.
95 Ayers DC, Li W, Oatis C, Rosal MC, Franklin
PD. Patient-reported outcomes after total knee
replacement vary on the basis of preoperative
coexisting disease in the lumbar spine and other
nonoperatively treated joints: The need for a
musculoskeletal comorbidity index. J Bone Joint
Surg Am. 2013 Oct 16;95(20):1833–7.
96 Fairbank JC, Pynsent PB. The Oswestry
Disability Index. Spine 2000 Nov 15;25(22):2940–
52.
97 Ayers DC, Li W, Oatis C, Rosal MC, Franklin
PD. Patient-reported outcomes after total knee
replacement vary on the basis of preoperative
coexisting disease in the lumbar spine and other
nonoperatively treated joints: The need for a
musculoskeletal comorbidity index. J Bone Joint
Surg Am. 2013 Oct 16;95(20):1833–7. doi: 10.2106/
JBJS.L.01007.
98 Wallace LS, Rogers ES, Roskos SE, Holiday DB,
and Weiss BD. BRIEF REPORT: Screening Items to
Identify Patients with Limited Health Literacy
Skills. J Gen Intern Med. 2006;21(8):874–7.
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proprietary instruments, databases and
measures. As discussed throughout our
responses, when developing measures,
we seek to balance requests from the
public, the needs of the hospitals, the
recommendations from the Technical
Expert Panel convened by our measure
development contractor regarding
identification of the most efficacious
and least burdensome PROM
instruments for the hospitals, and
finally financial cost. For these reasons,
we believe that finalizing the PROM
instruments listed in Table 28 is the
most prudent way to address the
concerns voiced by the majority of the
public commenters to simplify the list
of PROM instruments while also
keeping financial burden in mind.
Finally, we refer to section III.D.3.a.(9)
of this final rule, Requirements for
‘‘Successful’’ Submission of THA/TKA
Voluntary Data, for an explanation of
the requirements that must be met in
order to successfully submit THA/TKA
PRO data on a voluntary basis and be
eligible for a reconciliation payment.
(3) Cohort
In the proposed rule (80 FR 41286),
we stated that the measure cohort(s)
includes Medicare FFS beneficiaries,
aged 65 years or older, admitted to nonfederal acute care hospitals for elective
primary THA or TKA. We also indicated
that we would exclude from the cohort
patients with fractures and mechanical
complications or those undergoing
revision procedures. We stated again
that THA and TKA patient-reported
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outcomes will be assessed separately
but may be combined into a single
composite measure for reporting.
Final Decision: We did not receive
public comments on the cohort
proposed for the THA/TKA voluntary
data submission. We are finalizing the
cohort as proposed.
(4) Inclusion and Exclusion Criteria
In the proposed rule (80 FR 41286),
we stated that the measure cohort
inclusion criteria are all patients
undergoing elective primary THA/TKA
procedures. Exclusion criteria will
consist of patients undergoing nonelective procedures (that is, patients
with fractures resulting in THA/TKA),
as it is unfeasible to routinely capture
pre-operative patient-reported
assessments in these patients; patients
with mechanical complications of prior
hip and knee joint procedures and those
undergoing revision THA/TKA will also
be excluded, as their patient-reported
outcomes may be influenced by prior
care experiences and therefore may not
adequately represent care quality of the
hospital performing the revision
procedure.
Final Decision: We did not receive
public comments on the inclusion or
exclusion criteria for the THA/TKA
voluntary data submission. We are
finalizing the inclusion or exclusion
criteria as proposed.
(5) Outcome
In the proposed rule (80 FR 41286),
we stated that the measure will assess
change between pre- and post-operative
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patient-reported outcomes for THA and
TKA separately or as a composite
measure for both procedures. We also
stated that the measure will use one or
more of the following patient-reported
outcome instruments (or validated
subscales or abbreviated versions of
these instruments) to calculate the
measure score: The Patient Reported
Outcomes Measurement Information
Systems (PROMIS)-Global or the
Veterans Rand 12 Item Health Survey
(VR–12), and the Hip dysfunction and
Osteoarthritis Outcome Score/Knee
injury and Osteoarthritis Outcome Score
(HOOS/KOOS) instruments to measure
pre- and postoperative improvement or
both. These candidate instruments were
selected by a Technical Expert Panel
convened by our measure development
contractor based upon their
meaningfulness to patients and
clinicians, performance characteristics
such as reliability, responsiveness and
validity, and their perceived burden to
both patients and providers. The preoperative data collection timeframe will
be 90 to 0 days before surgery, and the
post-operative data collection timeframe
will be 270 to 365 days following
surgery. We also indicated that the
approach to calculating the
improvement or worsening of patient
outcomes represented by the pre- and
postoperative patient-reported survey
results has not yet been determined, but
will use one or more surveys to define
the improvement or worsening of
patient-reported outcomes to reliably
identify differences between hospitals of
varying performance.
Final Decision: We did not receive
public comments on the outcomes for
the THA/TKA voluntary data
submission. We are finalizing the
outcomes for the THA/TKA voluntary
data as proposed.
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(6) Risk-Adjustment (If Applicable)
In the proposed rule (80 FR 41286),
we stated that the measure’s risk model
has yet to be developed. We shared that
in order to develop the risk model, final
risk variable selection for the risk model
will involve empirical testing of
candidate risk variables as well as
consideration of the feasibility and
reliability of each variable. The risk
model will account for the hospital level
response rate as well as measureable
patient-level factors relevant to patientreported outcomes following elective
THA/TKA procedures. We indicated
that to the extent feasible, the risk
model methodology will adhere to
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established statistical
recommendations.99
Final Decision: We did not receive
public comments on the risk model for
the THA/TKA voluntary data
submission which has yet to be
developed. Please see the following
section III.D.3.a.(7) of this final rule for
details on how we have reduced the
number of voluntary risk variables for
collection.
(7) Calculating the Risk-Standardized
Rate
In the proposed rule (80 FR 41286) we
stated that the approach to reporting
this measure(s) has yet to be developed.
We outlined in the propose rule that the
measure will assess change in patientreported outcomes between the preoperative (90 to 0 days prior to the
elective primary THA/TKA procedure)
and post-operative (270 to 365 days
following the elective primary THA/
TKA procedure) periods.
We invited public comments on this
proposal to seek voluntary participation
in submitting data for a Hospital-Level
Performance Measure of PatientReported Outcomes Following Elective
Primary Total Hip and/or Total Knee
Arthroplasty. We also welcomed
comments on the appropriateness of this
voluntary data collection for this model
and the specific data collection
requirements (see section III.D.3.a.(9) of
the proposed rule) and data elements
proposed.
The following is a summary of the
comments received and our responses.
Comment: Several commenters
expressed concern about the amount of
data that CMS requested hospitals to
report. Some commenters expressed
concern that administrative costs of data
collection and submission will burden
hospitals. Several commenters provided
specific risk factors to consider
including in the PRO data collection
initiative and risk factors to evaluate
during future PRO-based measure
development. Specifically, a joint
statement from multiple surgical
specialty societies listed a prioritized
list of 11 risk variables: Body Mass
Index (BMI), Race/Ethnicity, Smoking
Status, Age, Sex, Back Pain, Pain in
Non-operative Lower Extremity Joint,
Health Risk Status, Depression/Mental
99 Ash AS, Fiengerg SE, Louis TA, Normand ST,
Stukel TA, Utts J. STATISTICAL ISSUES IN
ASSESSING HOSPITAL PERFORMANCE,
Commissioned by the Committee of Presidents of
Statistical Societies. Original report submitted to
CMS on November 28, 2011, Revised on January 27,
2012. Available at: https://www.cms.gov/Medicare/
Quality-Initiatives-Patient-Assessment-Instruments/
HospitalQualityInits/Downloads/Statistical-Issuesin-Assessing-Hospital-Performance.pdf. Accessed
on April 15, 2015.
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Health Status, Chronic or Pre-operative
Narcotic Use, and Socioeconomic
Status. These variables were also
highlighted by other commenters as
being important, priority risk variables
for consideration for a THA/TKA PRO–
PM. Additional specific
recommendations included the
following potential risk factors: Literacy,
marital status, live-in home support,
health risk status identified by
appropriate comorbid conditions in the
Charlson morbidity index or Elixhauser
morbidity measure as well as all
inpatient and outpatient diagnosis codes
for the year prior to the THA/TKA
procedure, Charnley classification,
retained hardware, total painful joint
count, joint range of motion, abductor
muscle strength (for THA patients),
presence of Trendelenberg gait (for THA
patients), history of congenital hip
dysplasia or other congenital hip
disease (for THA patients), presence of
angular, translational, or rotational
deformities of proximal femur (in
degrees for THA patients), anatomic
angle (femero-tibial angle) in degrees
with varus/valgus (for TKA patients),
knee extensor strength (for TKA
patients), baseline pain, function and/or
mental/emotional health as assessed by
the HOOS/KOOS and VR–12/PROMIS
Global, respectively.
Response: We note that the
submission of patient-reported
outcomes data in the CJR model is
voluntary and therefore does not impose
a mandatory data collection burden on
patients or providers. Nevertheless, it is
our goal to minimize any additional
data collection beyond the PROM
surveys, if possible. We considered ease
of collection while developing the list of
proposed data for collection.
Specifically, we considered the estimate
of time and effort by the patient and
provider to collect data beyond the
additional burden of de novo collection
of the proposed PROM surveys. If a
variable creates a data collection burden
to patients, surgeons, hospitals, or the
healthcare system, the value of
including the variable in the risk model
should outweigh the burden.
We appreciate commenter’s
recommendations regarding specific risk
variables for collection. We note the
commenter’s input that several of these
variables can be feasibly collected by
self-report and will consider this
information when finalizing the data
elements for collection.
We appreciate the public comments
that the proposed list of current
required risk variable data elements for
the voluntary PRO data collection is too
burdensome. Based upon multiple
commenters supporting the risk
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variables prioritized in a joint statement
from multiple surgical specialty
societies, we have used their list to
narrow the risk variable data to be
collected in the THA/TKA voluntary
data. We believe that several of the
specified variables can be adequately
captured using administrative claims
data (Smoking Status, Age, Sex, Health
Risk Status, and Socioeconomic Status,
using patient- or community-level
factors identifiable by patient zip code),
and others (Depression/Mental Health
Status) can be captured using the
generic PROM instruments (VR–12/
PROMIS Global). Therefore, we have
removed risk variables not highlighted
in the joint statement from multiple
surgical specialty societies, as well as,
risk variables captured by claims data or
by the specified PROM instruments
from the voluntary PRO data collection.
This leaves eleven risk variables that
will be collected, along with the PRO
instruments as previously detailed,
within ¥90 to 0 days prior to the THA/
TKA procedure for successful
completion of the voluntary PRO data
collection. These eleven risk variables
are defined in Table 28.
We will request that all PRO and risk
variable data be submitted through a
secure file transfer mechanism using a
file template. Hospitals will be able to
populate the file template according to
their own data collection method and
format. CMS will plan to augment the
risk model development for the future
PRO-based measure with administrative
claims, enabling many of the proposed
risk variables not selected for voluntary
collection to be captured without
additional data collection burden. The
proposed risk variables for which
administrative codes or claims data are
available will be considered for possible
inclusion in the future PRO-based
measure risk model. These individual
codes will be considered in addition to
the publicly available CMS hierarchical
condition categories (CCs) that group
the more than 15,000 ICD–9 codes into
clinically coherent CCs.100 Consistent
with existing claims-based measures,
candidate claims-based risk-adjustment
variables will be obtained from
100 Pope G, Kautter J, Ingber M, et al. 2011 Report:
Evaluation of CMS–HCC Risk Adjustment Model.
Centers for Medicare & Medicaid Services. 2011.
Available at: https://www.cms.gov/Medicare/
Health-Plans/MedicareAdvtgSpecRateStats/RiskAdjustors.html.
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inpatient, outpatient, and physician
Medicare administrative claims data
extending 12 months prior to, and
including, the index THA/TKA
admission.101 102
Final Decision: After consideration of
the public comments we received, we
are finalizing the Hospital-Level
Performance Measure of PatientReported Outcomes following Elective
Primary Total Hip and/or Knee
Arthroplasty cohort, inclusion and
exclusion criteria as proposed. In
response to our request for comment on
the data elements to be collected, we are
finalizing the shortened list of PROM
instrument elements, and eleven risk
variables listed in Table 28.
(8) Performance Period
In Table 16 of the proposed rule (80
FR 41286 through 41288), we proposed
defining performance periods for each
year of the model (see Table 29 of this
final rule). A performance period for the
voluntary THA/TKA data submission,
are those timeframes in which an
anchor hospital admission occurs for
eligible THA/TKA voluntary data
submission procedure. For the first year
of the CJR model, hospitals voluntarily
submitting data will only be requested
to submit data for a 3-month period. The
3-month period for THA/TKA voluntary
data reporting was identified due to data
processing and coordination of other
proposed timelines in this model. We
stated that data submitted for the first
year would be for cases that fulfill the
measure specifications described in
section III.D.3.a. of the proposed rule,
and would be restricted to the preoperative data elements on cases
performed between April 1, 2016 and
June 30, 2016. The proposed timing
allows matching of the patient-reported
data with relevant administrative
claims-based data in order to accurately
calculate the percent of eligible elective
primary THA/TKA patients for which
101 Suter LG, Zhang W, Parzynski CS, et al. 2015
Procedure-Specific Complication Measure Updates
and Specifications Report: Report prepared for the
Centers for Medicare & Medicaid Services. 2015.
Available at: https://www.cms.gov/Medicare/
Quality-Initiatives-Patient-Assessment-Instruments/
HospitalQualityInits/Measure-Methodology.html.
102 Suter LG, Desai N, Zhang W, et al. 2015
Procedure-Specific Readmission Measures Updates
and Specifications Report: Report prepared for the
Centers for Medicare & Medicaid Services. 2015.
Available at: https://www.cms.gov/Medicare/
Quality-Initiatives-Patient-Assessment-Instruments/
HospitalQualityInits/Measure-Methodology.html.
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THA/TKA voluntary data was
successfully submitted. The April 1st
date acknowledges the measure
requirement of the 90-day window prior
to surgery during which hospitals can
collect pre-operative data. The June 30th
end date was selected because it
correlates with the THA/TKA
Readmissions measure (NQF #1551)
performance period end date currently
implemented for the HIQR program and
the HRRP. Both of these dates provide
the greatest feasibility for data
collection.
We went on to explain how the THA/
TKA voluntary data reporting periods
would change based on the year of the
model and whether the data submitted
was related to pre- or post-operative
THA/TKA assessments. Specifically, we
stated that for year 2, THA/TKA
voluntary data reporting would be 3
months of post-operative data for cases
performed between April 1, 2016 and
June 30, 2016, and 12 months of preoperative data for cases performed
between July 1, 2016 and June 30, 2017.
We completed our explanation of the
duration of performance periods by
indicating for year 3 and subsequent
years of the model, the performance
periods for submission of voluntary data
will consist of 12-month time periods.
We finally noted in our proposal that
the proposed performance period
enables hospitals to receive incentives
for data collection starting in
performance year-one, even though
complete pre-operative and postoperative data collection requires a
minimum 9- through 12-month time
period. This 9- through 12-month time
period, between the procedure and postoperative data collection, was defined
through clinician and stakeholder input
and provides for both sufficient elapsed
time for maximum clinical benefit of
THA/TKA procedures on patientreported outcomes and accommodates
common clinical care patterns in which
THA/TKA patients return to their
surgeon one year after surgery. We
invited public comments on our
proposal of defining performance yearone episodes for a participating hospital
as an anchor hospital admission for an
eligible THA/TKA procedure between
April 1, 2016 and June 30, 2016, with
subsequent year performance time
periods each being 12-month periods
and starting every July 1st.
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TABLE 29—PROPOSED POTENTIAL PERFORMANCE PERIODS FOR PER- AND POST-OPERATIVE THA/TKA VOLUNTARY DATA
SUBMISSION *
Model year
Performance period
Duration of the performance period
Patient population eligible for
THA/TKA voluntary data submission
Requirements for successful
THA/TKA voluntary data submission **
2016 .........
April 1, 2016 through
June 30, 2016*.
3 months ** ...................................
All patients undergoing elective
primary THA/TKA procedures
performed between April 1,
2016 and June 30, 2016.
2017 .........
April 1, 2016 through
June 30, 2016.
15 months ....................................
All patients undergoing elective
primary THA/TKA procedures
performed between April 1,
2016 and June 30, 2016.
Submit PRE-operative data on
primary elective THA/TKA procedures for ≥80% of procedures performed between April
1, 2016 and June 30, 2016.
Submit POST-operative data on
primary elective THA/TKA procedures for ≥80% of procedures performed between April
1, 2016 and June 30, 2016.
2017 .........
July 1, 2016 through
June 30, 2017.
All patients undergoing elective
primary THA/TKA procedures
performed between July 1,
2016 and June 30, 2017
2018 .........
July 1, 2016 through
June 30, 2017.
24 months ....................................
Submit PRE-operative data on
primary elective THA/TKA procedures for ≥80% of procedures performed between July
1, 2016 and June 30, 2017.
All patients undergoing elective
primary THA/TKA procedures
performed between July 1,
2016 and June 30, 2017.
2018 .........
July 1, 2017 through
June 30, 2018.
All patients undergoing elective
primary THA/TKA procedures
performed between July 1,
2017 and June 30, 2018
2019 .........
July 1, 2017 through
June 30, 2018.
24 months ....................................
2019 .........
July 1, 2018 through
June 30, 2019.
All patients undergoing elective
primary THA/TKA procedures
performed between July 1,
2018 and June 30, 2019
2020 .........
July 1, 2018 through
June 30, 2019.
24 months ....................................
2020 .........
July 1, 2019 through
June 30, 2020.
All patients undergoing elective
primary THA/TKA procedures
performed between July 1,
2019 and June 30, 2020
Submit PRE-operative data on
primary elective THA/TKA procedures for ≥80% of procedures performed between July
1, 2017 and June 30, 2018.
All patients undergoing elective
primary THA/TKA procedures
performed between July 1,
2017 and June 30, 2018.
Submit PRE-operative data on
primary elective THA/TKA procedures for ≥80% of procedures performed between July
1, 2018 and June 30, 2019..
All patients undergoing elective
primary THA/TKA procedures
performed between July 1,
2018 and June 30, 2019.
Submit POST-operative data on
primary elective THA/TKA procedures for ≥80% of procedures performed between July
1, 2016 and June 30, 2017.
Submit POST-operative data on
primary elective THA/TKA procedures for ≥80% of procedures performed between July
1, 2017 and June 30, 2018
Submit POST-operative data on
primary elective THA/TKA procedures for ≥80% of procedures performed between July
1, 2018 and June 30, 2019.
Submit PRE-operative data on
primary elective THA/TKA procedures for ≥80% of procedures performed between July
1, 2019 and June 30, 2020.
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* Due to the new start date of the CJR model of April 1, 2016 (III.C.2.a.) the finalized performance period for the first year of the model will be
July 1, 2016 through August 31, 2016 with the duration of performance being 2 months. See Table 30 in section III.D.3.a.(9) of this final rule response to comments.
** Requirements for determining successful submission of THA/TKA voluntary data are located in section III.D.3.a.(9). of the proposed rule.
We did not receive comments on the
proposed THA/TKA voluntary data
submission Performance Period in Table
16 of the proposed rule or for Table 29
of this final rule, and will be finalizing
the THA/TKA voluntary PRO and
limited risk variable data submission
Performance Period as proposed with
the exception of the performance
periods for the first year of the model
(that is, 2016). We note in section
III.C.2.a. of this final rule that the date
of implementation will be delayed until
April 1, 2016. Previously, we had
proposed for 2016 the data collection
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periods of April 1, 2016 and June 30,
2016. Due to the delay in the
implementation date from January 1,
2016 to April 1, 2016, we similarly
implement a three month delay for the
THA/TKA voluntary PRO and risk
variable data submission Performance
Period, with the result that we will
collect only 2 months of data in 2016
from July 1, 2016 through August 31,
2016. The finalized THA/TKA voluntary
PRO and limited risk variable data
submission Performance Periods are
provided in Table 30 of this final rule.
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(9) Requirements for ‘‘Successful’’
Submission of THA/TKA Voluntary
Data
In proposed rule (80 FR 41286), we
stated that in order for CMS to assess if
participant hospitals are eligible for
reconciliation payment after receiving
the THA/TKA voluntary data,
requirements to determine if the
submitted data would inform measure
development had been identified (80 FR
41288 through 41289). We stated our
belief that the following criteria should
be used to determine if a participant
hospital has successfully submitted
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Federal Register / Vol. 80, No. 226 / Tuesday, November 24, 2015 / Rules and Regulations
THA/TKA voluntary data. We noted
that successful THA/TKA voluntary
data submission, as stated briefly in
section III.C.5.b.(5)(b) (80 FR 41240) and
section III.D.3.a.(9) (80 FR 41288) of the
proposed rule, required completion of
all of the following:
• Submission of the data elements
listed in section III.D.3.a.(2) of the
proposed rule.
• Data elements listed in section
III.D.3.a.(2) of the proposed rule must be
submitted on at least 80 percent of their
eligible elective primary THA/TKA
patients (as described in section
III.D.3.a.(3) of the proposed rule).
• THA/TKA voluntary data
submission must occur within 60 days
of the end of the most recent data
collection period.
We proposed that in order to fulfill
THA/TKA voluntary data collection
criteria for performance year-one, only
pre-operative data collection and
submission on at least 80 percent of
eligible elective primary THA/TKA
patients would be required. We further
explained that to successfully submit
THA/TKA voluntary data for
performance years 2 through 5,
hospitals would have to submit both
pre-operative and post-operative patient
reported outcome data on at least 80
percent of eligible elective primary
THA/TKA patients. A potential example
of the performance periods for which
we would like to have THA/TKA
voluntary data submitted by participant
hospitals were summarized in section
III.D.3.a. of the proposed rule.
Table 16 of the proposed rule (80 FR
41287 through 41288) summarized the
performance periods for pre-operative
and post-operative THA/TKA voluntary
data. We also proposed that hospitals
volunteering to submit THA/TKA data
would be required to submit preoperative data on all eligible patients
and post-operative data elements only
on those patients at least 366 days out
from surgery. Therefore, hospitals
would not be expected to collect and
submit post-operative THA/TKA
voluntary data on patients who are
fewer than 366 days from the date of
surgery.
We also stated that a THA/TKA
eligible patient is described in section
III.D.3.a.(3) of the proposed rule, and
noted that this description is important
since these patients were those for
which we proposed to seek submission
of voluntary data. We also selected the
requirement of submitting 80 percent of
eligible elective primary THA/TKA
patients’ data because this volume of
cases would result in a high probability
that we would have a national sample
of THA/TKA patient data representative
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of each hospital’s patient case mix. We
stated that having 80 percent of the
eligible elective primary THA/TKA
patients would enable an accurate and
reliable assessment of patient-reported
outcomes for use in measure
development. We noted that data used
for outcome measure development must
adequately represent the population that
is anticipated to be measured, and in
this case that population would be those
experiencing elective primary THA/
TKA inpatient surgical procedures. Data
that more accurately reflects the patient
outcomes and case mix of the
population to be measured would allow,
during measure development, a more
scientifically accurate and reliable
measure. We stated our belief that
having 80 percent of eligible elective
primary THA/TKA recipient data would
result in a more reliable measure that is
better able to assess hospital
performance than a measure created
from a less representative patient
sample. Furthermore, we considered
setting the requirement at 100 percent of
the eligible elective primary THA/TKA
patients, but concluded that a
requirement of 100 percent data
collection may not be feasible for all
hospitals or may be excessively
burdensome to achieve. Therefore we
proposed to set the requirement at 80
percent of the eligible elective primary
THA/TKA patients. We believed
acquisition of 80 percent of the eligible
elective primary THA/TKA patients
would provide representative data for
measure development while decreasing
patient, provider and hospital burden.
We sought public comment of these
requirements to determine successful
voluntary submission of THA/TKA data.
We also sought public comment
specifically on the requirement for data
on 80 percent of the eligible elective
primary THA/TKA patients.
The following is a summary of the
comments received and our responses.
Comment: Many commenters
expressed concern over the proposed
successful criterion of 80 percent; some
noted they had successfully achieved
PROM response rates over 80 percent
but still expressed concern that
hospitals would be able to meet this
criterion. Several commenters
recommended that CMS wait to
establish the successful criterion until
CMS has further experience with the
measure and sufficient data to
determine an appropriate number.
Several commenters recommended CMS
lower the successful criterion from 80
percent in Year 1 (A commenter
specifically noted 50 percent), and then
phase-in higher successful criterion over
time. A commenter recommended
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73499
lowering the successful criterion
because the proposed number would
add a substantial added cost for active
surveillance to achieve 80 percent. A
commenter recommended a 40 percent
successful criterion because an 80
percent successful criterion—(1) Might
prohibit hospitals from participating in
the voluntary data reporting effort; and
(2) might prohibit otherwise compliant
hospitals from receiving additional
reconciliation payments through
discounted target rates. Another
commenter recommended that the 2
percent discount should not be lowered
to pay for the voluntary data
submission, but instead the 80 percent
successful criterion should be lowered.
A few commenters recommended CMS
pay for every case that has data
submitted. Some commenters
recommended that CMS increase the
successful criterion. Other commenters
urged CMS to ensure that the collected
data are not biased by high-performing
providers or selective reporting of cases
that have positive outcomes.
Response: We thank the commenters
for their input on the proposed 80
percent criterion that defines successful
voluntary data submission of voluntary
patient-reported outcome data (80 FR
41288). We refer reviewers to section
III.C.5. of this final rule for the finalized
policies on how hospital performance
on finalized measures and successful
submission of THA/TKA voluntary data
will be assessed for purposes of
reconciliation payment eligibility.
We appreciate the commenter’s
suggestion to increase the successful
criterion based upon the concern that
lowering the successful criterion (that
is, the patient-reported outcome
instrument response and risk variable
submission rates required for successful
participation) may produce biased data
that are not generalizable to all patients
undergoing elective primary THA/TKA
procedures at a given hospital. To assess
the amount of data bias, the collected
and submitted patient-reported outcome
and risk variable data will be matched
to administrative claims data, which
will allow CMS to determine the
proportion of a hospital’s patients for
which the hospitals collected and
submitted patient-reported outcome and
risk variable data. In addition, it will
allow CMS to determine how
representative this sampling of patients
is of all of the hospital’s eligible THA/
TKA patients, by comparing the number
and type of comorbid conditions,
sociodemographic factors, and postdischarge outcome (for example,
complication and readmission) rates.
This information will be factored into
any measure development work that
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mstockstill on DSK4VPTVN1PROD with RULES2
utilizes the voluntary patient-reported
outcome data.
While there are a few commenters
supporting the feasibility of pre- and
post-operative patient-reported outcome
instrument response rates exceeding 80
percent for elective THA/TKA
procedures, we understand that many
hospitals may not be able to meet this
criterion as proposed in the first year of
the CJR model. Therefore, based on
public comments we are finalizing a
lower criterion for the ‘‘successful’’
voluntary patient-reported outcome and
limited risk variable data collection for
year 1, which will entail each
participating hospital submitting the
required pre- and post-operative data
elements (see Table 28 for the final list
of voluntary patient-reported outcomes
and limited risk variable data elements)
on either of the following
• 50 percent of eligible procedures
during the data collection period; or
• A total of 50 eligible procedures
during the data collection period.
This will allow hospitals the
opportunity to actively engage in data
collection but, consistent with the
experiences reported by several
commenters, acknowledges the realities
that such systematic data collection
efforts require time to implement. It also
responds to commenters’ suggestion for
CMMI to pursue a ‘‘phase-in’’ approach
to collecting PRO data. As previously
noted, CMS will actively evaluate the
submitted data for evidence of reporting
bias.
Eligible patients (henceforth for
purposes of this discussion, patients
will be described as procedures) are
described in section III.D.3.a. of the
proposed rule (80 FR 41286). The postoperative data collected in year 2 will
correspond to the pre-operative data
collected in year 1 and, similarly, for
years 3 through 5. That is, participant
hospitals will collect and submit postoperative data for the same cases for
which the hospital submitted preoperative data in the preceding year.
Based upon commenters’ input to
reduce the successful criterion,
including a recommendation
specifically to reduce the successful
criterion to 50 percent, we believe a ’50
percent or 50 eligible procedures’
successful criterion in year 1 provides
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hospitals with flexibility to minimize
the data collection burden; using a 50
percent or 50 eligible procedures
successful criterion in year 1 will also
allow participant hospitals to submit
data regardless of their case volume. A
50 percent or 50 eligible procedures
successful criterion in year 1 also allows
participant hospitals an opportunity for
financial reward for this voluntary
initiative. We note having the 50
percent or 50 eligible procedures
successful criterion in year 1 in
conjunction with a simplified list of
PROM instruments and list of risk
variables (Table 28) markedly decreases
the burden of collecting and submitting
the THA/TKA voluntary PRO and
limited risk variable data. We believe
after the first year of the model,
hospitals will become more adept at
collecting this data, and the public
comments indicate that much higher
patient-reported outcome data
collection rates are feasible. For
example, a commenter shared that its
institution reported a reliable 85 percent
response rate for its PROM data
collection. Therefore, we believe it is
reasonable to gradually increase the
expected response rates to successfully
fulfill the THA/TKA voluntary PRO and
limited risk variable data collection in
years 2 through 5 of the model, as listed
in Table 30. We note that the phase-in
approach was suggested by a few public
commenters. We agree that phasing in of
higher percentage eligible procedures
with each year is a more realistic
expectation for participating hospitals to
meet and a more encouraging manner to
enhance the THA/TKA voluntary PRO
and limited risk variable data
submission.
We anticipate completion of measure
development for the future hospitallevel THA/TKA PRO–PM during or
before year 3 of the model. The measure
specifications will be finalized in
accordance with our standard measure
development process set forth in NQF
guidance for outcome measures,103 CMS
Measures Management System (MMS)
103 National Quality Forum. Measure Evaluation
Criteria and Guidance. April 2015. Available at:
https://www.qualityforum.org/Measuring_
Performance/Submitting_Standards.aspx. Accessed
on September 22, 2015.
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guidance,104 and the guidance
articulated in the American Heart
Association Statement ‘‘Standards for
Statistical models Used for Public
reporting of Health Outcomes.’’ 105
Given the support for the PRO data
collection and support for mandatory
inclusion of a PRO–PM in this model
from several commenters during public
comment, we anticipate integrating this
new measure as a mandatory measure in
the CJR model in years 4 and 5 through
future rulemaking. We anticipate that
the PRO–PM would be considered
similarly in the CJR model to the THA/
TKA Complications measure (NQF
#1550), with better performing hospitals
receiving higher quality scores and
therefore higher reconciliation
payments. The current quality measure
weighting system would be reconfigured
to give this PRO–PM equal weighting
with the other quality measures
included in years 4 and 5 of the model,
again through future rulemaking.
Hospitals participating in the voluntary
PRO data collection in years 1 through
3 would be better prepared for the
addition of the hospital-level THA/TKA
PRO–PM to the model in years 4 and 5.
The anticipated use of this PRO–PM in
this model is consistent with
stakeholder feedback during public
comment strongly encouraging
mandatory integration of PRO-based
measures into the model. We will also
consider adding or removing patientreported outcome and/or risk variable
data elements as indicated by clinical
practice and empirical analyses
supporting or refuting their utility in
performance measurement. For further
discussion on the use of PRO–PM
measure, see section III.C.5. of this
proposed rule.
104 Measures Management System
Overview.2015; https://www.cms.gov/Medicare/
Quality-InitiativesPatient-AssessmentInstruments/
MMS/?redirect=/MMS/19_Measures
ManagementSystemBlueprint.asp. Accessed
September 8, 2015.
105 Krumholz H, Brindis R, Brush J, et al.
Standards for Statistical Models Used for Public
Reporting of Health Outcomes: An American Heart
Association Scientific Statement from the Quality of
Care and Outcomes Research Interdisciplinary
Writing Group: Cosponsored by the Council on
Epidemiology and Prevention and the Stroke
Council. Endorsed by the American College of
Cardiology Foundation. Circulation. Jan 24
2006;113(3):456–462.
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TABLE 30—FINALIZED PERFORMANCE PERIODS FOR PRE- AND POST-OPERATIVE THA/TKA VOLUNTARY DATA
SUBMISSION
Performance period
Duration of
the performance period
Patient population eligible for THA/TKA
voluntary data submission
Requirements for successful THA/TKA
voluntary data submission
2016 ..........
July 1, 2016 through
August 31, 2016.
2 months .....
All patients undergoing elective primary
THA/TKA procedures performed between
July 1, 2016 and August 31, 2016.
2017 ..........
July 1, 2016 through
August 31, 2016.
13 months ...
All patients undergoing elective primary
THA/TKA procedures performed between
July 1, 2016 through August 31, 2016.
2017 ..........
September 1, 2016
through June 30,
2017.
.....................
All patients undergoing elective primary
THA/TKA procedures performed between
September 1, 2016 through June 30,
2017.
2018 ..........
September 1, 2016
through June 30,
2017.
22 months ...
All patients undergoing elective primary
THA/TKA procedures performed between
September 1, 2016 and June 30, 2017.
2018 ..........
July 1, 2017 through
June 30, 2018.
2019 ..........
July 1, 2017 through
June 30, 2018.
24 months ...
All patients undergoing elective primary
THA/TKA procedures performed between
July 1, 2017 and June 30, 2018.
2019 ..........
July 1, 2018 through
June 30, 2019.
.....................
All patients undergoing elective primary
THA/TKA procedures performed between
July 1, 2018 and June 30, 2019.
2020 ..........
July 1, 2018 through
June 30, 2019.
24 months ...
All patients undergoing elective primary
THA/TKA procedures performed between
July 1, 2018 and June 30, 2019.
2020 ..........
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Model year
July 1, 2019 through
June 30, 2020.
Submit PRE-operative data on primary
elective THA/TKA procedures for ≥50%
or ≥50 eligible procedures performed between July 1, 2016 and August 31, 2016.
Submit POST-operative data on primary
elective THA/TKA procedures for ≥50%
or ≥50 eligible procedures performed between July 1, 2016 through August 31,
2016.
Submit PRE-operative data on primary
elective THA/TKA procedures for ≥60%
or ≥75 procedures performed between
September 1, 2016 through June 30,
2017.
Submit POST-operative data on primary
elective THA/TKA procedures for ≥60%
or ≥75 procedures performed between
September 1, 2016 and June 30, 2017.
Submit PRE-operative data on primary
elective THA/TKA procedures for ≥70%
or ≥100 procedures performed between
July 1, 2017 and June 30, 2018.
Submit POST-operative data on primary
elective THA/TKA procedures for ≥70%
or ≥100 procedures performed between
July 1, 2017 and June 30, 2018.
Submit PRE-operative data on primary
elective THA/TKA procedures for ≥80%
or ≥200 procedures performed between
July 1, 2018 and June 30, 2019.
Submit POST-operative data on primary
elective THA/TKA procedures for ≥80%
or ≥200 procedures performed between
July 1, 2018 and June 30, 2019.
Submit PRE-operative data on primary
elective THA/TKA procedures for ≥80%
or ≥200 procedures performed between
July 1, 2019 and June 30, 2020.
All patients undergoing elective primary
THA/TKA procedures performed between
July 1, 2017 and June 30, 2018.
All patients undergoing elective primary
THA/TKA procedures performed between
July 1, 2019 and June 30, 2020.
Comment: A commenter
recommended the use of ‘‘Advanced
Procurement Technology’’ for
submission of PRO data and to alleviate
burden of data submission by
physicians and patients. Specifically,
the commenter recommended the use of
a cloud-based central server to reduce
administrative costs.
Response: We note that the future
PRO–PM measure will potentially
employ multiple platforms for data
collection, including electronic health
records (EHRs), as well as other data
collection mechanisms, but will not be
limited to EHRs. We aim to construct a
secure data collection system that
reduces the amount of data submission
burden on hospitals. We encourage
hospitals to collect and transfer the PRO
data in the most economically efficient
mode for individual hospitals.
Comment: Several commenters
suggested CMS consider a pay-forreporting approach, which would allow
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hospitals that successfully submit data
to be eligible for savings.
Response: We have been careful to
identify a way in which to reward
hospitals that participated in this
initiative, as we understand that this
could be a potential added burden, but
the composite quality score
methodology initiative also becomes a
way for hospitals to learn about their
patients’ outcomes post-primary elective
THA/TKA procedures. We believe that
section III.C.5.b. in this final rule
provides a full discussion of voluntary
PRO data collection from a payment
perspective.
Final Decision: After consideration of
the public comments we received, we
will not be finalizing the proposed
successful criterion on 80 percent of
eligible procedures. In response to
public comments we are finalizing a
modification to the requirements for
what will be considered as ‘‘successful’’
submission of THA/TKA voluntary PRO
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data, as noted in Table 30, in
conjunction with a simplified list of
PROM instruments and list of risk
variables (Table 28). We are also
finalizing the proposed requirement that
the required THA/TKA voluntary PRO
data and the limited list of risk variables
be submitted to CMS within 60 days of
the end of the most recent performance
period. We believe requirements for the
THA/TKA voluntary PRO data and
limited list of risk variables that we are
finalizing will markedly decrease the
burden of collecting and submitting the
THA/TKA voluntary PRO data by
participant hospitals. We also believe
that reducing the data collection and
submission burden will enhance the
opportunity for participant hospitals to
improve their composite quality score
that is being finalized for the CJR model.
We are codifying requirements for
successful data submission of THA/TKA
patient reported outcomes and limited
risk variable data in § 510.400(b).
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b. Measure That Captures Shared
Decision-Making Related to Elective
Primary Total Hip and/or Total Knee
Arthroplasty
In the proposed rule (80 FR 41289),
we shared our belief that, in addition to
the patient-reported functional status
outcomes, shared-decision making is an
important aspect of care around elective
patient-reported outcome procedures
such as primary total hip and total knee
arthroplasty. We also noted that lower
episode expenditures achieved through
improved patient-reported outcome
efficiency may yield the unintended
consequence of a compensatory increase
in the number of episodes initiated. We
stated that use of shared decisionmaking prior to episode initiation can
serve as an important tool to ensure
appropriate care. Though there are no
developed measures, we sought
feedback on the opportunity to capture
quality data related to shared decisionmaking between patients and providers.
Examples of such a measure could
include concepts such as a trial of
conservative medical therapy prior to
elective procedures or broader shared
decision-making measures. We invited
public comment on whether such a
measure concept would be appropriate
for the CJR model. If we develop a
measure that captures shared decisionmaking related to elective primary total
hip and total knee arthroplasty or both,
we would propose through rulemaking
or other means to add that measure to
the CJR model.
The following is a summary of the
comments received and our responses.
Comment: Many commenters
supported the development and use of
measures related to shared decisionmaking. Most commenters agreed that
shared decision-making is critical for
the patient-reported outcome when
patients are deciding whether or not to
undergo elective TKA/THA procedures,
and that CMS should promote shared
decision-making as part of a way to
optimize patient-reported outcomes. A
commenter recommended that a shared
decision-making measure should be
documented within the referral visit by
the primary care physician. Another
commenter recommended that a shared
decision making measure have both a
pre- and post-intervention component.
A commenter recommended that shared
decision-making be required as part of
the model. Multiple commenters
suggested additional measures that
should be paired with shared decisionmaking measures, including a
functional outcome measure, a measure
for risk adjustment, a measure for care
planning, quality measures that assess
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clinical excellence, and the pairing of
the measure with patient-reported
outcome criteria to evaluate patterns of
care. Many commenters recommended
that shared decision-making measures
require or document the use of certified
or patient-reported outcome decision
aids, though no specific decision aids
were suggested. Finally, a number of
commenters recommended that CMS
use this opportunity to further the
research agenda related to shared
decision-making and its measurement.
Response: We appreciate all of the
responses on how we might address
shared-decision making from the quality
measure perspective. For a detailed
discussion of shared decision-making as
it relates to beneficiary patient-reported
outcomes and experience, please refer to
beneficiary patient-reported outcome
sections in section III.D.3.a. of this final
rule. We agree that shared decisionmaking is important for patient-reported
outcomes, as well as meaningfully
measuring shared decision-making.
Based on the comments we received, we
will consider the future development of
measures related to shared decisionmaking. Should we decide to implement
a shared decision-making measure in
the future, we will do so through noticeand-comment rulemaking.
c. Future Measures Around Care
Planning
In the proposed rule (80 FR 41289),
we stated that person-centered shared
care plan is an important tool that can
help providers across settings
collaborate around a customized plan
that reflects a patient’s goals and offers
providers critical information about all
of the treatment a beneficiary has
received. We shared that health IT
solutions are increasingly supporting
the exchange of care plan information
across settings so that providers and
individuals have access to necessary
information whenever and wherever it
is needed. We also indicated that in the
2015 Edition of certification criteria for
health information technology (80 FR
16842), the Office of the National
Coordinator for Health Information
Technology (ONC) proposed the
adoption of a new criterion to ensure
health IT can capture, display, and
exchange a robust care plan document
in accordance with new standards
released in the Consolidated Clinical
Document Architecture Release 2.1; this
proposal has now been finalized (80 FR
62648). While further measure
development is needed, we sought
comment on the appropriateness of a
future quality measure which would
assess the use of shared care plans in
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the care of beneficiaries participating in
the CJR model.
The following is a summary of the
comments received and our responses.
Comment: Several commenters
supported the future inclusion of a
measure focused on shared care
planning in the model, pending further
measure development. A commenter
noted that a shared care plan measure
could help to ensure that hospitals are
taking steps to assist patients in
understanding the potential tradeoffs
associated with surgical interventions.
Another commenter focused specifically
on the need for advance care planning
within a bundled payment model,
noting that CMS should seek to require
the hospital initiating the episode to
conduct advance care planning
discussions and offer beneficiaries the
opportunity to complete an advance
directive. Commenters encouraged CMS
to incentivize providers to voluntarily
submit data that would support future
measure development in this area.
Response: While we did not propose
to include a measure of care planning
activities, we will consider these
comments as we explore any future
action in the CJR model. Should we
decide to implement a measure of care
planning activities in the future, we will
do so through notice-and-comment
rulemaking.
d. Future Measures for Use of Health IT
and Health Information Exchange
In the proposed rule (80 FR 41289),
we shared our belief that the use of
health IT tools is a critical component
of effective coordination across settings
of care. Under bundled payment
models, in which providers across the
continuum of care share accountability
for the clinical management and total
cost of an episode of care, the capacity
to share information electronically
across disparate provider systems is
essential for delivering efficient, safe,
high quality care. As discussed in the
August 2013 Statement ‘‘Principles and
Strategies for Accelerating Health
Information Exchange’’ (available at
https://www.healthit.gov/sites/default/
files/acceleratinghieprinciples_
strategy.pdf), we believe that all
individuals, their families, their
healthcare and social service providers,
and payers should have consistent and
timely access to health information in a
standardized format that can be securely
exchanged between the patient,
providers, and others involved in the
individual’s care. ONC has released a
document entitled ‘‘Connecting Health
and Care for the Nation: A Shared
Nationwide Interoperability Roadmap’’
(available at https://www.healthit.gov/
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sites/default/files/hie-interoperability/
nationwide-interoperability-roadmapfinal-version-1.0.pdf), which describes
barriers to interoperability across the
current health IT landscape, the desired
future state that will be necessary
according to the industry to enable a
learning health system, and a suggested
path for moving forward. ONC will
focus on actions that will enable a
majority of individuals and providers
across the care continuum to send,
receive, find and use a common set of
electronic clinical information at the
nationwide level by the end of 2017.
Under section 1833(z)(3)(D)(i)(I) of the
Act, as amended by section 101(e) of the
MACRA, providers participating in
qualifying APMs under Medicare will
be required to use certified EHR
technology beginning in 2019. As this
date approaches, we believe it will be
important for providers working in
these models to demonstrate adoption of
health IT.
We shared our belief that use of
certified health IT tools and the
interoperable exchange of health
information is a critical capability for
model participants to be able to deliver
the high-quality care and effective
coordination across settings that will be
required to demonstrate success under
the model. Moreover, we believe that it
will be important to incentivize
adoption and use of these enabling
technologies among model participants
including PAC providers, by linking
these activities to participant eligibility
to receive reconciliation payments.
While we did not propose to add a
measure for certified health IT use for
the program’s initial performance year,
we sought comment on how we might
incorporate such a measure beginning in
the 2017 performance year. We invited
stakeholder comment on the following
questions:
• Is successful attestation as part of
the EHR Incentive Program for Medicare
hospitals in the applicable reporting
year the most appropriate quality
measure for assessing hospital
performance on the use of health IT and
interoperable health information in the
model?
• Should the model include a
performance measure that would be
specific to the ability of hospitals to
conduct electronic care coordination
using certified health IT, for instance,
the measure of transitions of care which
hospitals currently report on as part of
the EHR Incentive Program for Medicare
Hospitals?
• What other measures could be used
to assess hospital performance on the
use of health IT and interoperable
health information while minimizing
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program and provider collection and
reporting burden?
We sought public comments on how
we might incorporate an electronic
measure beginning in the 2017
performance year, and public comments
on the questions posed previously in
this rule.
We also sought public comment on
the appropriateness of quality measures
for PAC patients, physicians and
facilities that care for THA/TKA surgical
procedure patients.
The following is a summary of the
comments received and our responses.
Comment: While commenters noted
the importance of health IT systems and
health information exchange to support
the care coordination required to
succeed under a bundled payment
approach, a number of commenters
expressed concerns about introducing a
measure of health IT utilization or
health IT requirements within the
model. A commenter suggested that the
model should focus on outcomes rather
than introducing measures of the care
delivery process, such as the use of
health IT. Another commenter believed
that health IT requirements would
restrict the flexibility of model
participants to explore different modes
of care delivery needed to succeed
within the model. Another commenter
noted that a measure of health IT use
would not be appropriate because
hospitals already participate in the EHR
Incentive Program, and a similar
measure under the program would
create a duplicative penalty.
Several commenters noted that
hospitals have substantially increased
their adoption of health IT systems in
recent years, and that participants will
need to rely on electronic tools,
including EHRs, health information
exchange services, and other systems, in
order to deliver effective care for
beneficiaries under the model.
Commenters also noted that many
hospitals are seeking to address
challenges around electronically
exchanging patient information with
PAC providers. As these PAC providers
were not eligible for the EHR Incentive
Programs, many have not yet
established health IT systems. However,
bundling programs such as the CJR
model are likely to further incentivize
hospitals to develop strategies to share
information with these providers to
support care coordination across an
episode of care.
Response: We appreciate the insights
and concerns expressed around utilizing
a measure of health IT tied to
participation in the EHR Incentive
Programs. While we did not propose to
include a measure of health IT
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utilization, we will consider these
comments as we assess any future
action for the model. As future measures
become available, such as measures
which focus directly on electronic
exchange between all providers
participating in a bundle, we will
continue to explore whether there are
opportunities to address this important
aspect of care delivery for model
participants. Should we decide to
implement a measure of health IT
utilization in the future, we will do so
through notice-and-comment
rulemaking.
Final Decision: After seeking
comments on shared decision-making,
and on future measures around Care
Planning and future considerations for
use of electronic health records, we
thank the public for these comments
and will evaluate the suggestions for
future consideration.
4. Form, Manner, and Timing of Quality
Measure Data Submission
In the proposed rule (80 FR 41289),
we stated that it is important to be
transparent and to outline the form,
manner and timing of quality measure
data submission so that accurate
measure results are provided to
hospitals, and that timely and accurate
calculation of measure results are
consistently produced to determine
annual reconciliation payment.
We proposed that data submission for
Hospital-Level Risk-Standardized
Complication Rate (RSCR) Following
Elective Primary Total Hip Arthroplasty
(THA) and/or Total Knee Arthroplasty
(TKA) (NQF #1550) and Hospital-Level
Risk-Standardized Readmission Rate
(RSRR) Following Elective Primary
Total Hip Arthroplasty (THA) and/or
Total Knee Arthroplasty (TKA) (NQF
#1551) (or both) be accomplished
through the existing HIQR Program
processes. Since these measures are
administrative claims-based measures,
hospitals will not need to submit data.
We proposed that the same mechanisms
used in the HIQR Program to collect
HCAHPS Survey measure (NQF #0166)
data also be used in the CJR model (79
FR 50259). For the hospitals that
voluntarily submit data for the THA/
TKA patient-reported outcome-based
performance measure, we anticipated, if
it is technically feasible, for data
submission processes to be broadly
similar to those summarized for the
HIQR Program for chart abstracted and
administrative claims-based measures.
We indicated that we would create a
template for hospitals to complete with
the THA/TKA voluntary data, provide a
secure portal for data submission, and
provide education and outreach on how
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to use these mechanisms for data
collection and where to submit the
THA/TKA voluntary data. We also
repeated our description of potential
processes for voluntary data collection
in section III.D.3.a.(2) of the proposed
rule, and noted that these were broadly
similar to those used by the HIQR
Program.
We invited public comment on the
proposal to collect quality measure data
through mechanisms similar to those
used in the HIQR Program.
The following is a summary of the
comments received and our responses.
Comment: Some commenters
requested quarterly releases of measure
results for the purposes of continuous
quality improvement since they
believed that an annual release of
measure results would not facilitate
effective continuous quality
improvement.
Response: We acknowledge the
request for hospitals to more frequently
receive their measure results in order to
enhance effective quality improvement.
With respect to the measures that we are
finalizing for the CJR model, we note
that hospitals already receive their
measure results on the THA/TKA
Complications measure (NQF #1550)
and the HCAHPS Survey measure (NQF
#0166) through the HIQR Program on an
annual and quarterly basis, respectively
(69 FR 49082 and 78 FR 50783). With
respect to the THA/TKA Complications
measure (NQF #1550), CMS provides
hospitals with their confidential
preview reports and hospital-specific
reports with discharge level information
used in the calculation of their measure
result around April each year before the
results are publicly reported on the
Hospital Compare Web site (77 FR
53598). We note that the Hospital
Compare Web site is the vehicle that
provides public reporting and within
this Web site we indicate that this Web
site fulfills section
1886(b)(3)(B)(viii)(VII) of the Act, as
amended by section 3001(a)(2) of the
Affordable Care Act, which requires the
Secretary to establish procedures for
making information regarding measures
submitted available to the public after
ensuring that a hospital has the
opportunity to review its data before
they are made public. Prior to the
release of data on Hospital Compare,
hospitals are given the opportunity to
review data during a 30-day preview
period via the QualityNet Secure Portal
(https://
www.qualityreportingcenter.com/wpcontent/uploads/2015/07/IQR_FY2017_Hospital-IQR-Program-ReferenceChecklist_Tool_7.21.2015_
FINAL508.pdf).
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With respect to the HCAHPS Survey
measure (NQF #0166), CMS similarly
provides hospitals with their
confidential preview reports on a
quarterly basis, before the results are
publicly reported on Hospital Compare
Web site (https://
www.hospitalcompare.hhs.gov/) (78 FR
50778). We believe that the current
frequency of sharing measure results
data with hospitals is also appropriate
for the CJR model and does allow
effective quality improvement for the
following reasons. First of all, we note
that other CMS IPPS quality programs
besides the HIQR Program, such as
HVBP (77 FR 53579), the HRRP (77 FR
53399), and the Hospital-Acquired
Condition Reduction Program (78 FR
50725), similarly use an annual cycle for
sharing measure results with hospitals
and publicly reporting quality measure
performance as we are finalizing for the
CJR model. For example, the HIQR
Program and the HRRP release annual
measure results data to hospitals on
their excess readmissions (77 FR 53399).
The acute myocardial infarction, heart
failure, pneumonia, chronic obstructive
pulmonary disease, and ischemic stroke
readmission measure results have all
shown improvements in hospital
performance between 2010 and 2013
(https://www.cms.gov/Medicare/
Quality-Initiatives-Patient-AssessmentInstruments/HospitalQualityInits/
Downloads/Medicare-Hospital-QualityChartbook-2014.pdf). This strongly
suggests that effective continuous
quality improvement is possible with
annual review of measure results by
hospitals. Secondly, because the THA/
TKA Complications measure (NQF
#1550) uses a 3-year rolling performance
period that is ’rolled forward’ by 12
months each HIQR Program year,
quarterly updates to the 3-year
performance period would yield
minimal actionable information to
hospitals from one quarter to the next,
while increasing administrative burden
for hospitals to download and review
their hospital-specific reports and
discharge-level data. We remind readers
that the 3-year performance period is
used for the THA/TKA Complications
measure (NQF #1550) in order to
identify a greater number of eligible
index admissions for each hospital.
Increasing the sample size by using a
larger number of index admissions to
identify the measure cohort improves
the reliability and precision of the
estimation of each hospital’s results for
the THA/TKA Complications measure
(NQF #1550), as well as allow for the
calculation of measure results that more
meaningfully distinguish hospital
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performance. For these reasons, we do
not believe that providing more frequent
measure results data to participant
hospitals in the CJR model than are
already provided to them in the HIQR
Program will provide sufficiently new,
actionable information to meaningfully
enhance their continuous improvement
processes.
Comment: A commenter
recommended that CMS establish the
low-volume thresholds for the quality
measures prior to the first performance
year and exclude low-volume hospitals
from the CJR model.
Response: As noted in the proposed
rule (80 FR 41242), a participant
hospital with an insufficient volume of
episodes on which to determine
performance on an individual measure
will be assigned to the 50th percentile
so as not to disadvantage a participant
hospital based on its low volume
because that hospital may in actuality
provide high quality of care.
Additionally, we proposed that data
submission for Hospital-Level RiskStandardized Complication Rate (RSCR)
Following Elective Primary Total Hip
Arthroplasty (THA) and/or Total Knee
Arthroplasty (TKA) (NQF #1550) be
accomplished through the existing
HIQR program processes (80 FR 41290).
By using existing HIQR program
processes we intend to apply the same
low-volume case thresholds applied to
all claims based measures which is set
at 25 cases for public reporting (75 FR
50185 and 76 FR 51609). For the
HCAHPS Survey measure (NQF #0166)
we have previously indicated in section
III.D.2.c. of this final rule that a
minimum of 100 cases is required for
the measure which is also consistent
with the threshold set for HVBP
program (76 FR 26502)
Comment: A commenter
recommended beginning the process of
vendor certification as soon as possible
with respect to patient-reported
outcome data collection. Specifically,
the commenter recommended CMS use
previously established vendor
guidelines such as those governing the
data submission process for chartabstracted measures or electronic
clinical quality measures (eCQM).
Response: We will consider this
recommendation when and if patientreported outcome data collection is
mandatory. The current patient-reported
outcome data collection is voluntary,
and hospitals can collect the data using
whatever mechanisms are available to
them.
Comment: A few commenters
recommended we use a standardized
data collection file template with
respect to patient-reported outcome data
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collection. A commenter recommended
creating a file template for data
collection in a web-based platform.
Response: We plan to create a
standardized file template to assist
hospitals’ data collection and
submission efforts for the patientreported outcome data. We will take the
commenter’s recommendation to create
a web-based data collection template
into account when we design the
template prior to the start date of the
CJR model.
Final Decision: After consideration of
the public comments we received, we
are finalizing our proposals as to the
form, manner, and timing of data
submissions to CMS by participant
hospitals for THA/TKA Complications
measure (NQF #1550) and the HCAHPS
Survey measure (NQF #0166) used in
the CJR model, the frequency of sharing
of measure results with participant
hospitals annually, and the proposed
performance periods set forth in Table
32. We note that the form, manner, and
timing of data submissions to CMS by
participant hospitals for THA/TKA
Readmissions measure (NQF #1551) is
not finalized since the THA/TKA
Readmissions measure (NQF #1551) is
not being adopted for the CJR model.
5. Display of Quality Measures and
Availability of Information for the
Public From the CJR Model
In the proposed rule (80 FR 41290),
we stated our belief that display of
quality data is an important way to
educate the public on hospital
performance. We have used several
methods to report quality data to the
public, including posting data on the
Hospital Compare and
data.medicare.gov Web sites. We shared
that data have been available for
viewing on these Web sites and in
downloadable databases since 2005, and
are well-known mechanisms for
providing information to the public. We
proposed to post data for measures
included in the CJR model for each
participant hospital on the Hospital
Compare Web site in an easily
understood format. The proposed
applicable time periods for the measures
during the CJR model initiative are
summarized in Table 17 of the proposed
rule (80 FR 41290) and in the following
Table 31.
TABLE 31—SUMMARY OF PROPOSED QUALITY MEASURE PERFORMANCE PERIODS BY YEAR OF THE CJR MODEL
Model year
Measure title
1st
THA/TKA Complication * ........
THA/TKA ** Readmission .......
HCAHPS *** ............................
2nd
3rd
4th
5th
April 1, 2013–March
31, 2016.
July 1, 2013–June
30, 2016.
July 1, 2015–June
30, 2016.
April 1, 2014–March
31, 2017.
July 1, 2014–June
30, 2017.
July 1, 2016–June
30, 2017.
April 1, 2015–March
31, 2018.
July 1, 2015–June
30, 2018.
July 1, 2017–June
30, 2018.
April 1, 2016–March
31, 2019.
July 1, 2016–June
30, 2020.
July 1, 2018–June
30, 2019.
April 1, 2017–March
31, 2020.
July 1, 2017–June
30, 2016.
July 1, 2019–June
30, 2020.
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* Hospital-Level Risk-Standardized Complication Rate (RSCR) Following Elective Primary Total Hip Arthroplasty (THA) and/or Total Knee
Arthroplasty (TKA) (NQF #1550).
** Hospital-Level Risk-Standardized Readmission Rate (RSRR) Following Elective Primary Total Hip Arthroplasty (THA) and/or Total Knee
Arthroplasty (TKA) (NQF #1551).
*** HCAHPS Survey measure (NQF #0166).
We stated that the proposed time
periods for the THA/TKA
Complications measure (NQF #1550),
and the THA/TKA Readmissions
measure (NQF #1551) are consistent
with HIQR Program performance
periods for July 2017 public reporting.
The HCAHPS Survey measure (NQF
#0166) results performance periods as
previously stated in section III.D.2.c. of
this final rule would not align with the
HIQR program. We also stated our belief
that the public is familiar with the
proposed measures, which have been
publicly reported in past releases of
Hospital Compare as part of the HIQR
Program. Finally, we clarified in the
propose rule our intent to minimize
confusion and facilitate access to the
data on the measures included in the
CJR model by proposing to post the data
on each participant hospital’s
performance on each of the 3 proposed
quality measures in a downloadable
format in a section of the Hospital
Compare and data.medicare.gov Web
sites specific to the CJR model, similar
to what is done for the Hospital
Readmissions Reduction Program and
the Hospital-Acquired Conditions
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Reduction Program. We also proposed
to post data on whether or not each
participant hospital met the proposed
threshold (section III.C.5.b. of the
proposed rule) for receiving a
reconciliation payment in the same
downloadable database; we note that
section III.C.5. of this final rule provides
a detailed discussion on the final
decision for indicating which hospitals
are eligible for a reconciliation payment.
In addition, we also stated our belief
that information about functional status
both pre- and post-operatively is
important for hip and knee
replacements. We are developing a
functional status measure that we
believe will provide this needed
information. The measure, HospitalLevel Performance Measure(s) of
Patient-Reported Outcomes Following
Elective Primary Total Hip and/or Total
Knee Arthroplasty (see section III.D.3. of
the proposed rule for a detailed
description), requires comprehensive
testing before it can be used in a CMS
program. As part of the effort to collect
data on functional status voluntarily
from hospitals, we proposed that
hospitals that voluntarily submit data
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for this measure be acknowledged
through the use of a symbol on Hospital
Compare Web site (https://
www.hospitalcompare.hhs.gov/). The
data submitted voluntarily for the
functional status measure would not be
publicly reported along with the other
measures in the program.
We also provide clarification for the
performance periods proposed for years
4 and 5 in Table 17 (80 FR 41290) in the
proposed rule, and in Table 31 of this
final rule, for the THA/TKA
Readmissions measure (NQF #1551). In
Table 17 of the proposed rule we had
indicated a year 4 performance period
of: July 1, 2016 through June 30, 2020
and for year 5 July 1, 2017 through June
30, 2016. We note that these proposed
time frames are not consistent with
prior proposals (80 FR 41290) and
would like to clarify that the correct
proposed performance periods for the
THA/TKA Readmissions measure (NQF
#1551) for year 4 is: July 1, 2016 through
June 20, 2019; and for year 5: July 1,
2017 through June 30, 2020. We also
note that the THA/TKA Readmissions
measure (NQF #1550) has not been
finalized for this model.
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We invited public comments on these
proposals to post data for mandatorily
required measures on the Hospital
Compare Web site (https://www.hospital
compare.hhs.gov/) and to acknowledge
hospitals that voluntarily submit data
for the functional status measure with
an icon on the Hospital Compare Web
site.
The following is a summary of the
comments received and our responses.
Comment: A few commenters
supported the public reporting of
measure results.
Response: We appreciate the support
of our proposal to publicly report
measure results implemented in the CJR
model.
Comment: A commenter
recommended that CMS give participant
hospitals a year-long preview of
measure performance prior to the public
release of data. Another suggested that
CMS delay public reporting of
performance data for at least one year
into the CJR model while allowing
participant hospitals to preview their
measure results during that time.
Response: We appreciate these two
comments, and note our belief that the
availability of quality data to the public
is an important way to educate the
public, including patients, consumers,
and their family members and care
givers, on hospital performance and that
not publicly reporting such quality data
as soon as they are available would not
be consistent with our policy to be
transparent with CMS quality and
payment programs. Further, the
finalized measures are currently used in
the HIQR Program, and hospital
performance information is publicly
reported for this program on the
Hospital Compare Web site. We refer
reviewers to section III.C.5.b. of this
final rule for further discussion of payfor-reporting during the first year of the
model from a payment perspective.
Comment: A few commenters
requested clarification as to whether
CMS intends to provide PRO data
preview reports for participating
hospitals.
Response: To provide further
clarification regarding the release of
quality measure results information to
hospitals prior to public reporting on
Hospital Compare Web site, we stated in
the proposed rule (80 FR 41290) that we
would use existing CMS hospital public
reporting processes as in the HIQR
Program. We also emphasized in the
proposed rules the importance of
providing accurate measure results to
hospitals and the timely and accurate
calculation of measure results that are
consistently produced to determine
annual reconciliation payments (80 FR
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41290). As in the HIQR Program for
outcome measures, we will deliver
confidential reports and accompanying
confidential discharge level
information, as applicable to the
measure, to participant hospitals on an
annual basis. These reports will contain
hospital-specific information on the
THA/TKA Complications measure (NQF
#1550), the HCAHPS Survey measure
(NQF #0166), and whether a hospital
has successfully submitted the
voluntary patient-reported outcome
data. The reports will be delivered in
participant hospitals’ secure QualityNet
accounts prior to the information being
made available to the public.
We will provide participant hospitals
a period of 30 days to review and
submit corrections to calculations of
measure results and determinations of
successful patient-reported outcome
data submission using a process that is
similar to the process currently used for
posting results on the Hospital Compare
Web site (https://www.hospitalcompare.
hhs.gov/) in programs such as the HIQR,
HVBP, HRRP programs and the
Hospital-Acquired Condition Reduction
Program. Our intent in providing this
information is two-fold—(1) To facilitate
hospitals’ verification of their measure
results calculations; and (2) to facilitate
hospitals’ quality improvement efforts
with respect to the care provided to
LEJR patients. More specifically, this 30day period will begin when the
participant hospitals’ confidential
reports and accompanying dischargelevel information are posted to their
QualityNet accounts. This time period
will enable us to evaluate correction
requests in a timely manner in order to
provide accurately calculated measure
results for the determination of annual
reconciliation payments. We believe
that this review and corrections process
will ensure that hospitals are able to
fully and fairly review their measure
results as they will be used in the CJR
model and publicly reported on the
Hospital Compare Web site (https://www.
hospitalcompare.hhs.gov/).
We note that with respect to the
claims based THA/TKA Complications
measure (NQF #1550), the review and
correction process will not include
submitting additional corrections
related to the underlying claims data we
used to calculate the measure result, nor
adding new claims to the data extract
we used to calculate the measure result.
This is because it is necessary to take a
static ‘‘snapshot’’ of the claims in order
to perform the calculations. For
purposes of the CJR model, we would
calculate the THA/TKA Complications
measure (NQF #1550) result using a
static snapshot (that is, data extract)
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taken at the conclusion of the 90-day
period following the last date of
discharge used in the applicable
performance period. This is consistent
with our policy for all claims-based
measures used in the HIQR, HVBP,
HRRP programs, and the HospitalAcquired Condition Reduction Program
(for example, see 77 FR 53399 through
53401 as this policy is applied for HRRP
and 78 FR 50725 through 50727 as this
policy is applied in the HospitalAcquired Condition Reduction
Program). We recognize that under our
current timely claims filing policy,
hospitals have up to 1 year from the
date of discharge to submit a claim to
us. However, in using claims data to
calculate quality measure results for the
CJR model, we will create claims data
extracts approximately 90 days after the
last discharge date in the applicable
performance period. For example, for
model year one of the CJR model, the
last discharge date in the performance
period for the THA/TKA Complications
measure (NQF #1550) is March 31,
2016, so we would create the data
extract on or around June 30, 2016 and
use that data to calculate the measure
result for the April 1, 2013 to March 31,
2016 performance period. Participant
hospitals are already familiar with this
90-day claims ‘‘run-out’’ period, which
we apply when creating data extracts for
all of our claims-based outcome
measures used in the HIQR, HVBP,
HRRP Programs, and the HospitalAcquired Condition Reduction Program
(for example, see 77 FR 53399 through
53401 as this policy is applied for HRRP
and 78 FR 50725 through 50727 as this
policy is applied in the HospitalAcquired Condition Reduction
Program).
Comment: A commenter requested
clarification regarding the 1-year
difference in performance periods for
FY 2016’s HIQR Program and the
proposed performance periods for the
CJR model (80 FR 41290, Table 17). The
clarification request was specific to the
THA/TKA Complications measure (NQF
#1550) where they indicated that the FY
2016 HIQR Program THA/TKA
Complications measure (NQF #1550) is
April 2012 through March 2015 and for
the CJR model THA/TKA Complications
measure (NQF #1550) performance
period is April 2013 through March
2016.
Response: Table 17 of the proposed
rule (80 FR 41290), had set forth the
performance periods for each of the
proposed quality measures for the 5
performance years of the CJR model. As
we state in section III.D.5. of this final
rule, we are finalizing Table 32 with
respect to the THA/TKA Complications
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measure (NQF #1550) and the HCAHPS
Survey measure (NQF #0166) with the
performance periods as previously set
forth, but we are not finalizing the THA/
TKA Readmissions measure (NQF
#1550). In addition, we want to provide
further clarification on the CJR model
performance periods for the THA/TKA
Complications measure (NQF #1550) as
compared to the performance periods
that will be used in the HIQR Program.
As we stated in the proposed rule (80
FR 41290), the performance periods are
intended to align with the public
reporting timeline for this measure in
the HIQR Program. For example, for the
first performance year of the CJR model,
the performance period of the THA/
TKA Complications measure (NQF
#1550) is April 1, 2013 through March
31, 2016. When we are calculating
reconciliation payment determinations
for model year one (that is, CY 2016)
during the spring of 2017, we will be
using quality measure data that are the
most currently available, which will be
from the April 1, 2013 through March
31, 2016 performance period for the
THA/TKA Complications measure (NQF
#1550). The HIQR Program will be using
data from the same period to prepare for
public reporting on Hospital Compare
Web site (https://www.hospitalcompare.
hhs.gov/) in July 2017. When
information on each participant
hospital’s performance in the CJR model
will be publicly reported on Hospital
Compare Web site (https://www.hospital
compare.hhs.gov/) in July 2017, the
performance period for the THA/TKA
Complications measure (NQF #1550)
will align with the performance period
used for the same measure in the HIQR
Program. We believe that aligning the
performance periods for the THA/TKA
Complications measure (NQF #1550) in
this manner will reduce the potential for
confusion among users of the Hospital
Compare Web site (https://www.hospital
compare.hhs.gov/) and also ensure that
the CJR model uses the most currently
available measure results for calculating
participant hospital reconciliation
payment determinations. The CJR model
will not use measure results data from
the HIQR Program’s July 2016 public
reporting, which will be April 1, 2012
through March 31, 2015 for the THA/
TKA Complications measure (NQF
#1550), for the reasons previously
described.
Comment: A commenter urged CMS
to rapidly disclose hospitals’ results on
the THA/TKA PRO–PM to the public.
Response: We will not publicly report
the voluntary patient-reported outcomes
and limited risk variable data during or
after this model. We note that the data
will be used to complete measure
development of the THA/TKA patient
reported performance based outcome
measure. We intend to acknowledge
those hospitals that are voluntarily
submitting PRO and limited risk
variable data via an icon or symbol by
the hospital’s name on the Hospital
Compare Web site. If we consider
adopting such a measure for the CJR
model, we would do so through
rulemaking.
Final Decision: After consideration of
the public comments we received, we
are finalizing our proposals to publicly
report quality measure results each year
on the Hospital Compare Web site
(https://www.hospitalcompare.hhs.gov/),
including acknowledgment of hospitals
that voluntarily submit data for the
functional status measure with an icon
on the Hospital Compare Web site. We
are finalizing the public reporting of
measure results each year for the THA/
TKA Complications measure (NQF
#1550) and the HCAHPS Survey
measure (NQF #0166). Measure results
for the THA/TKA Readmissions
measure (NQF #1551) will not be
publicly reported each year since we are
not finalizing this measure. We have
also provided further clarification as to
the sharing of quality measure results
with participant hospitals, the use of
confidential reports that participant
hospitals will receive, and the
opportunity they will have to review
and submit correction requests for their
measure result calculations prior to
public reporting on Hospital Compare
Web site.
TABLE 32—SUMMARY OF FINALIZED QUALITY MEASURE PERFORMANCE PERIODS BY YEAR OF THE CJR MODEL
CJR Model year
Measure title
1st
THA/TKA Complications * ........
HCAHPS ** ...............................
2nd
3rd
4th
5th
April 1, 2013–March
31, 2016.
July 1, 2015–June
30, 2016.
April 1, 2014–March
31, 2017.
July 1, 2016–June
30, 2017.
April 1, 2015–March
31, 2018.
July 1, 2017–June
30, 2018.
April 1, 2016–March
31, 2019.
July 1, 2018–June
30, 2019.
April 1, 2017–March
31, 2020.
July 1, 2019–June
30, 2020.
* Hospital-Level Risk-Standardized Complication Rate (RSCR) Following Elective Primary Total Hip Arthroplasty (THA) and/or Total Knee
Arthroplasty (TKA) (NQF #1550).
** Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) Survey measure (NQF #0166).
This final policy is set forth at
§ 510.400.
E. Data Sharing
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1. Overview
In section III.E. of the proposed rule,
we proposed to provide data to the
hospital participants of the CJR model.
We have experience with a range of
efforts designed to improve care
coordination for Medicare beneficiaries,
including the Medicare Shared Savings
Program (Shared Savings Program),
Pioneer ACO Model, and BPCI, all of
which make certain data available to
participants. In section III.C.2. of the
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proposed rule, we proposed a model to
financially incentivize hospitals,
through retrospective bundled
payments, to engage in care redesign
efforts to improve quality of care and
reduce spending for the aggregate Part A
and B FFS spending for beneficiaries
included in the model during the
inpatient hospitalization and 90 days
post-discharge. Given this, we expressed
our belief that it is necessary to provide
historical and ongoing claims data
representing care furnished during
episodes of care for LEJRs to hospitals
so that they can, among other things,
adequately structure their care
pathways, coordinate care for
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beneficiaries, and estimate acute
inpatient and PAC spending within
LEJR episodes.
As noted previously, this would not
be the first instance in which we have
provided claims data to entities
participating in a CMS model or
program. For example, participants in
Shared Savings Program initially receive
aggregate information on their historical
financial performance as well as
quarterly data throughout their tenure in
the program. In addition, Shared
Savings Program ACOs receive certain
beneficiary-identifiable claims
information in accordance with our
regulations. (For more information, see
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the November 2, 2011 final rule titled
‘‘Medicare Program; Medicare Shared
Savings Program: ACOs’’ (76 FR 67844
through 67849)). The Shared Savings
Program final rule noted that while an
ACO may have complete information for
the services it provides or coordinates
on behalf of its FFS beneficiary
population, it may not have access to
complete information on a FFS
beneficiary who chose to receive
services, medications or supplies from
non-ACO providers and suppliers.
Thus, we decided to provide ACOs
participating in the Shared Savings
Program with an opportunity to request
CMS claims data on the premise that
more complete beneficiary-identifiable
information would enable practitioners
in an ACO to better coordinate and
target care strategies. Recently, we noted
that the ACOs participating in the
Shared Savings Program have reported
that the beneficiary identifiable claims
data that they receive from us are being
used effectively to better understand the
FFS beneficiaries that are receiving
services from their providers. These
data give ACOs valuable insight in to
patterns of care for their beneficiary
population; enable them to improve care
coordination among and across
providers and suppliers and sites of
care, including providers and suppliers
and sites of care not affiliated with the
ACO; and allow them to identify and
address gaps in patient care. (For more
information, see the Medicare Shared
Savings Program final rule (80 FR 32733
through 32734.)
Similarly, participants in the Pioneer
ACO model can request historical
claims data of beneficiaries aligned with
the particular Pioneer ACO entity, and
the entities continue to receive certain
ongoing data regarding the services
furnished to those beneficiaries. (For
more information, see the CMS Web site
https://innovation.cms.gov/Files/factsheet/Pioneer-ACO-Model-BeneficiariesRights-Fact-Sheet.pdf). In addition, we
provide BPCI participants with the
opportunity to request beneficiary-level
claims data regarding their own
patients, both for the historical period of
2009 to 2012 that was used to set
baseline prices for entities participating
in BPCI, as well as ongoing monthly
claims feeds containing Medicare FFS
claims for beneficiaries that could have
initiated an episode of care for that
particular BPCI participant. These
monthly claims feeds provide BPCI
participants with data for both acute
and PAC spending for beneficiaries that
could have initiated an episode of care
at that BPCI participant.
As noted in the proposed rule, based
on our experience with these efforts, we
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believe that providing a similar
opportunity for hospitals participating
in the CJR model to request data is
necessary for participant hospitals to
have the relevant information to allow
for practice changes supported by CJR
and to identify services furnished to
beneficiaries receiving LEJRs under the
model. Specifically, providing
participant hospitals with certain claims
and summary information on
beneficiaries in accordance with
established privacy and security
protections would improve their
understanding of the totality of care
provided during an episode of care.
With this greater understanding, we
anticipate that hospitals would be better
equipped to evaluate their practice
patterns and actively manage care
delivery so that care for beneficiaries is
better coordinated, quality and
efficiency are improved, and payments
aligned more appropriately to the
medically necessary services
beneficiaries have a right to receive. We
also expect that providing this data to
CJR participants will benefit
beneficiaries by allowing providers to
use the data to improve care
coordination activities in areas that may
be currently lacking. However, we also
noted our expectation that CJR hospitals
are able to, or will work toward,
independently identifying and
producing their own data, through
electronic health records, health
information exchanges, or other means
that they believe are necessary to best
evaluate the health needs of their
patients, improve health outcomes, and
produce efficiencies in the provision
and use of services.
Accordingly, we believe that making
certain data available to CJR hospitals,
as we do with ACOs participating in the
Shared Saving Program and Pioneer
ACO Model, would help them to
monitor trends and make needed
adjustments in their practice patterns. In
order for CJR participants to understand
and track their care patterns, we
proposed to provide the participants
with beneficiary-level claims data for
the historical period used to calculate a
CJR hospital’s target price as well as
ongoing quarterly beneficiaryidentifiable claims data in response to
their request for such data in accordance
with our regulations. Given that the CJR
model also proposes to incorporate
regional pricing in the calculation of
target prices, we also proposed to
provide participants with aggregate
regional data.
Comment: Some commenters noted
that CMS expects that hospitals are able
to, or will work toward, independently
identifying and producing their own
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data. These commenters concurred that
hospitals were making these efforts, but
noted that there were challenges in
doing so.
Response: We appreciate hospitals’
efforts to independently identify and
produce performance data, and believe
that our proposal, which makes certain
financial performance data available,
will be supportive of these efforts.
2. Beneficiary Claims Data
In the proposed rule we noted that,
based on our experience with BPCI
participants, we recognize that hospitals
vary with respect to the kinds of
beneficiary claims information that
would be most helpful. While many
hospitals located in MSAs that are
selected for participation in CJR model
may have the ability to analyze raw
claims data, other hospitals may find it
more useful to have a summary of these
data. Given this, we proposed to make
beneficiary claims information available
through two formats.
First, for participant hospitals that
lack the capacity to analyze raw claims
data, we proposed to provide summary
beneficiary claims data reports on
beneficiaries’ use of health care services
during the baseline and performance
periods. These reports would allow
participant hospitals to assess summary
data on their relevant beneficiary
population without requiring
sophisticated analysis of raw claims
data. Such summary reports will
provide tools to monitor, understand,
and manage utilization and expenditure
patterns as well as to develop, target,
and implement quality improvement
programs and initiatives. For example, if
the data provided by CMS to a
particular hospital participant reflects
that a certain PAC provider admits
beneficiaries who then have
significantly higher rates of inpatient
readmissions than the rates experienced
by other beneficiaries with similar care
needs at similarly situated PAC
providers, that may be evidence that the
hospital could consider, among other
things, the appropriateness of
discharges to that provider, whether
other alternatives might be more
appropriate, and whether there exist
certain care interventions that could be
incorporated post-discharge to lower
readmission rates.
Therefore, for both the baseline period
and on a quarterly basis during a
participant hospital’s performance
period, we proposed to provide
participant hospitals with an
opportunity to request summary claims
data that would encompass the total
expenditures and claims for an LEJR
episode, including the procedure,
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inpatient stay, and all related care
covered under Medicare Parts A and B
within the 90 days after discharge,
including hospital care, PAC, and
physician services for the hospital’s
beneficiaries whose anchor diagnosis at
discharge was either MS DRG 469 or
470. We proposed that these summary
claims aggregate data reports would also
contain payment information, utilizing
the categories listed for each episode
triggered by a beneficiary as follows:
• Inpatient hospital.
• Outpatient hospital.
• Physician.
• Long-term care hospital (LTCH).
• IRF.
• SNF.
• HHA.
• Hospice.
• ASC.
• Part–B drug.
• Durable medical equipment (DME).
• Clinical laboratory.
• Ambulance.
These reports would likely include
the following:
• Information such as admission and
discharge date from the anchor
hospitalization.
• The physician for the primary
procedure, Medicare payments during
the anchor hospitalization.
• Medicare payments during the PAC
phase.
• Medicare payments for physician
services would likely be included in
these reports.
These summary claims data would
reflect all Medicare Part A and Part B
expenditures during the 90-day
episodes, except for those claim types
noted later in this section, as well as
excluding expenditures related to those
MS–DRGs that we proposed to be
specifically excluded from the episode
of care, as set forth in section III.B.2. of
the proposed rule.
Alternatively, for hospitals with a
capacity to analyze raw claims data, we
would make more detailed beneficiarylevel information available in
accordance with established privacy
and security protections. These data
would enable hospitals to better
coordinate and target care strategies for
beneficiaries included in CJR episodes.
For example, in the BPCI initiative, we
provide participants with beneficiarylevel claims data for all Part A and Part
B services furnished to a beneficiary
treated by that BPCI participant for all
MS–DRGs included in an episode that
the participant has selected for
participation (See BPCI: Background on
Model 2 for Prospective Participants,
page 3 at https://innovation.cms.gov/
Files/x/BPCI_Model2Background.pdf.)
These data include services furnished
by the participant, as well as services
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furnished by other entities during the
30-, 60- or 90-day episode. For example,
where the entity participating in BPCI is
an acute care hospital, we provide
beneficiary-level claims data for all
Medicare Part A and B services and
supplies furnished by the hospital
during the inpatient admission, as well
as all PAC services furnished to the
beneficiary by the hospital or any other
providers or suppliers.
The response from entities
participating in BPCI has indicated that
the availability of these data is
necessary to monitor trends and
pinpoint areas where care practice
changes are appropriate, as well as
assess the cost drivers during the acute
and PAC periods of the episode. Thus,
for the baseline period and on a
quarterly basis during a hospital’s
performance period, we proposed to
provide participant hospitals with an
opportunity to request line-level claims
data for each episode that is included in
the relevant performance year, as
described in section III.C. of the
proposed rule.
For both the proposed summary
claims data and the more detailed
claims data formats, we proposed that
the sets of these files would be packaged
and sent to a portal in a ‘‘flat’’ or binary
format for the individual participant
hospitals to retrieve. Furthermore, the
files would contain information on all
claims triggered by a beneficiary in a
participating CJR hospital.
Finally, we note that beneficiary
information that is subject to the
regulations governing the
confidentiality of alcohol and drug
abuse patient records (42 CFR part 2)
would not be included in any
beneficiary identifiable claims data
shared with a hospital under our
proposal.
We requested comments on these
proposals as well as the kinds of data
and frequency of reports that would be
most helpful to the hospitals’ efforts in
coordinating care, improving health,
and producing efficiencies.
The following is a summary of the
comments received and our responses.
Comment: Commenters supported
CMS’s proposal to make both historical
baseline and updated beneficiary claims
information available to hospitals
participating in CJR both on a detailed
line level and a summary basis.
Commenters noted the importance of
these data for such purposes as
formulating processes and protocols to
redesign care, developing networks with
physicians, physician groups and PAC
providers, establishing necessary
clinical and administrative
infrastructure during the pre-
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implementation period, and estimating
potential savings associated with better
care delivery.
Response: We appreciate and concur
with these comments that support our
proposal.
Comment: A commenter stated that
participants should be provided both
line-level and summary beneficiary
claims information rather than just one
data type or the other.
Response: We appreciate this
suggestion and wish to clarify that we
will make both line-level and summary
beneficiary claims data available to
participating hospitals upon request in
accordance with established privacy
and security protections.
Comment: Commenters opposed the
proposal to exclude beneficiary
information that is subject to the
regulations governing the
confidentiality of alcohol and drug
abuse patient records (42 CFR part 2)
from any beneficiary identifiable claims
data shared with a hospital.
Commenters noted that this information
was vital for hospitals to understand the
full risk associated with beneficiaries
and was needed to identify appropriate
care management methods. Some
commenters expressed the view that
hospitals should not be required to
assume risk for beneficiaries where
these data are not made available. Other
commenters requested that CMS make
available de-identified cost and claims
data or aggregate payment data for these
services. Moreover, some commenters
recommended that CMS apply its
waiver authority to make beneficiaryspecific claims level substance abuse
data available to hospitals or work with
the Congress to create an exception to
42 CFR part 2 to provide claims level,
identifiable data.
Response: Section 1115A of the Act
does not authorize the waiver of the
requirements under 42 CFR part 2.
Moreover, our proposal to exclude this
information is consistent with our usual
treatment of these data with other
similar CMS programs and models
where providers must take on risk in
managing the care of their beneficiaries,
such as the Shared Savings Program and
BPCI model. We would note that, based
on our experience to date, we are
unaware of this policy being a
significant impediment to the
operations of these efforts. We also
appreciate the suggestions to make these
data available in a de-identified manner.
We have considered this option and are
not currently aware of a means to make
de-identified beneficiary-specific data
available in a way that would provide
useful information to participating
hospitals without potentially making it
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possible to identify beneficiaries.
Similarly, we have also not identified a
way in which to make meaningful
aggregate data available on a limited
basis without potentially compromising
beneficiary confidentiality. However,
we will continue to consider these
comments and the feasibility of making
such data available in a way that is both
meaningful to participating hospitals
and in compliance with 42 CFR part 2.
Comment: Commenters questioned
the frequency, mechanisms, and content
of the information we propose to make
available to participant hospitals.
Response: These comments and our
responses will be discussed in their
respective sections, which follow.
Final Decision: After considering the
public comments we received, we are
finalizing the proposal at § 510.300(d) to
make available to participant hospitals,
through the most appropriate means,
data that CMS determines may be useful
to participant hospitals. We are also
finalizing our proposal to exclude
information that is subject to the
regulations governing the
confidentiality of alcohol and drug
abuse patient records (42 CFR part 2)
from any beneficiary identifiable claims
data shared with a hospital at this time.
3. Aggregate Regional Data
Because we proposed to incorporate
regional pricing data in the creation of
prices for CJR, as set forth in section
III.C.4. of the proposed rule, we noted
our belief that it will also be necessary
to provide comparable aggregate
expenditure data available for all claims
associated with MS–DRGs 469 and 470
for the census region in which the
participant hospital is located. As noted
in section III.C.4.b.(5) of the proposed
rule, we proposed that a hospital’s target
price will be determined based on a
blend of its own historical expenditures
as well as regional pricing data of all
other hospitals in its region. Thus, we
also proposed to provide CJR hospitals
with aggregate data on the total
expenditures during an acute inpatient
stay and 90-day post-discharge period
for all Medicare FFS beneficiaries
whose anchor diagnosis at discharge
was either MS–DRG 469 or 470 (and
would have initiated a CJR episode if
discharged from a CJR hospital) in their
census region. These data would not
include beneficiary-identifiable claims
data, but would provide high-level
information on the average episode
spending for MS–DRGs 469 and 470 in
the region in which the participant
hospital is located. We requested
comments on these proposals as well as
the kinds of aggregate data and
frequency of data reports that would be
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most helpful to the hospitals’ efforts in
coordinating care, improving health,
and producing efficiencies.
The following is a summary of the
comments received and our responses.
Comment: Commenters supported the
proposal to make expenditure data
available for claims associated with
MS–DRGs 469 and 470 for the census
region in which the participant hospital
is located, for example, that these data
would be critical to hospitals in tracking
their performance relative to
benchmarks over time or would allow
them to anticipate future changes in
target pricing. A commenter noted that
the proposal to provide 3 years of
historical claim-level data is sufficient
for purposes of this program and
expressed support for CMS’ proposal to
include both Part A and Part B spending
data. However, another commenter
expressed reservations about the
usefulness of high-level aggregate
spending data by spending census
region.
Response: We concur with the
comments supporting our proposal to
make aggregate regional data available
to hospitals. We recognize that some
hospitals might prefer to have more
detailed data rather than aggregated
data. However, we believe the data we
will be making available should be
helpful both as a performance
benchmark for participating hospitals
relative to their peers as well as to better
understand their financial performance
expectations, particularly given that
regional pricing data will be
incorporated for purposes of
determining their target prices.
Comment: The comments we received
on the frequency with which aggregate
regional data would be made available
to hospitals were often requests for us
to make these data available more
frequently, such as on a monthly basis.
Response: Our response to these
comments is discussed later in section
III.E.5. of this final rule.
Comment: With respect to data
content, we received a suggestion that
these data contain enough detail to
identify potential opportunities for
improvement. A commenter suggested
that CMS use the BPCI data extracts as
a starting point for CJR, since they were
satisfactory to BPCI participants.
Specific requests included proposals
that the data reflect a rolling 18-month
period, include separate subsets for
outpatient physical and occupational
therapy and for comprehensive
outpatient rehabilitation facility (CORF)
services, and that CMS provide a
detailed description of the calculations
needed to derive the regional target
prices. Several comments requested that
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the data be broken down by MS–DRG as
follows:
• Total normalized episode
expenditures.
• Normalized episode expenditures
within cost categories (anchor inpatient,
SNF, HHA, IRF, LTCH readmissions,
professional services, other).
• Variability metrics related to the
total normalized episode expenditures
(standard deviation, 95th percentile,
99th percentile, etc.).
• Episode counts.
• Variability metrics surrounding
episode counts (what is the mean
number of episodes at a hospital in the
region, the standard deviation, the 95th
or 99th percentile, etc.).
• Utilization percentages for key
services (what percentage of episodes
had SNF utilization, IRF, LTCH, HHA,
readmissions).
• Percentage of episodes that were
non-elective (for example, using the
quality metric specification exclusions
methodology).
Response: We appreciate the
comments we received on the kinds of
data that might be helpful to
participating hospitals, and agree with
the comment that the regional data we
provide should contain enough detail to
identify potential opportunities for
improvement.
Final Decision: We are finalizing our
proposal to provide CJR hospitals with
aggregate data on the total expenditures
during an acute inpatient stay and 90day post-discharge period for all
Medicare FFS beneficiaries whose
anchor diagnosis at discharge was either
MS–DRG 469 or 470 (and would have
initiated a CJR episode if discharged
from a CJR hospital) in their census
region. We will also consider the range
of comments we received on the
additional kinds of data elements and
formats that would be most useful to
participating hospitals. In the event we
consider adopting additional elements
or formats for these data, we will
provide further guidance, potentially
through rulemaking if warranted.
4. Timing and Period of Baseline Data
As stated in the proposed rule, we
considered various options for the
timing of providing baseline data to CJR
participant hospitals. We considered
provision of data prior to the proposed
start date of the model as well as
providing data to participants at the
point of the first payment reconciliation
(described in section III.C.6. of the
proposed rule). We proposed to make
baseline data available to hospitals
participating in CJR no sooner than 60
days after the proposed start date of the
model. We noted our recognition that
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these data are important to the abilities
of CJR participant hospitals to estimate
costs, coordinate care, and identify areas
for practice transformation, and that
early release of this data can facilitate
their efforts to do so. We also noted our
view that hospitals will view the CJR
effort as one involving continuous
improvement. As a result, changes
initially contemplated by a hospital
could be subsequently revised based on
updated information and experiences.
We also indicated that while we would
like to be able to make data available as
soon as possible once the model had
begun, we did not believe that these
baseline data must be immediately
available upon the start date of the
model as hospitals can begin
considering improvements that would
enhance their ability to better
coordinate care and increase efficiencies
in the absence of these data. Therefore,
we proposed to begin making baseline
data available to CJR hospitals within 60
days of CMS’ receipt of the request by
the participant hospital for such data, in
a form, time, and manner of such
requests to be determined by CMS and
announced at a later date. Further
requests would not be accepted until the
model had begun. We sought comments
on this proposal.
In the proposed rule, we also
discussed which period of baseline data
should be shared with hospitals, for
example, whether the data should
represent a single year, or some longer
period such as a 3-year period or more.
We expressed our belief that to be most
useful, the baseline information should
be recent enough to reflect current
practices yet of a sufficient duration to
reflect trends in those recent practices.
For example, 1 year of data would likely
reflect a hospital’s most current
practices, but would not be helpful for
purposes of identifying trends. In
contrast, 3 years of data could both
reflect a hospital’s most recent
performance and recent performance
trends. Moreover, we noted that making
data available for a 3-year period
aligned with our proposal to set a target
price based on a 3-year period of
baseline data, which is a factor in
assessing CJR hospitals’ performance
(see section III.C. of this final rule). That
is, if a hospital has access to baseline
data for the 3-year period used to set its
target price, then it would be able to
assess its practice patterns, identify cost
drivers, and ultimately redesign its care
practices to improve efficiency and
quality.
We alternatively considered making
data available for an even longer
historical period—for example, 4 or 5
years. However, we questioned the
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usefulness of information that is older
than 3 years for purposes of changes
contemplated for current operations.
Accordingly, in our proposed rule, we
proposed to make available baseline
data for up to a 3-year period. We
indicated that we would limit the
content of this data set to the minimum
data necessary for the participant
hospital to conduct quality assessment
and improvement activities and
effectively coordinate care of its patient
population. This period would
encompass up to the 3 most recent years
for which claims data are available for
the hospital and would align with the
baseline period we proposed to utilize
to establish target prices, as noted
previously. We sought comments on our
proposal and invited comments on
alternative time periods that could
better help hospitals evaluate their
practice patterns and actively manage
care delivery so that care is better
coordinated, quality and efficiency are
improved, and costs are better
controlled.
The following is a summary of the
comments received and our responses.
Comment: The comments we received
supported our proposal to make 3 years
of baseline data available to
participating hospitals.
Response: We appreciate and concur
with those comments.
Comment: Many commenters opposed
the proposal to make baseline data
available to hospitals participating in
CJR no sooner than 60 days after the
proposed start date of the model.
Commenters expressed concern that this
proposal would allow insufficient time
to prepare and that hospitals should be
provided with historical claims data in
advance of the start data; typically, 3 to
6 months prior to implementation with
some commenters recommending up to
1 year prior to implementation.
Commenters indicated that data
would be needed sooner than was
proposed for reasons such as
participating hospitals would need the
data and time to analyze claims for
purposes of identifying opportunities
for care redesign, formulate processes
and protocols to redesign care, assess
the performance of potential partners,
develop networks with physicians and
PAC providers, and establish necessary
clinical and administrative
infrastructure. Further, hospitals might
not have the in-house resources to
analyze the data and thus need to use
consulting resources for these purposes.
Commenters noted that activities such
as these could take several months to
complete once the data were made
available.
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Some commenters also noted that the
absence of downside risk does not
diminish the need for access to data in
advance of the CJR performance period.
Moreover, commenters pointed to other
CMS/CMMI efforts where data were
made available prior to implementation.
For example, under the BPCI model,
participants received historical claims
data feeds prior to the start of the
program, and had approximately 12
months from receiving the data prior to
enrollment in the program.
Commenters expressed concerns that
insufficient time for preparation and
lack of data for preparatory analysis,
prior to start, could hinder a hospital’s
ability to effectively coordinate and
ensure smooth transitions across the
continuum of care for beneficiaries
undergoing LEJR procedures. As
discussed elsewhere in this final rule,
several commenters recommended that
the program be delayed so that data
could be made available in advance of
implementation.
Response: We appreciate the concerns
and reasons expressed by commenters
for opposing our proposal to make
baseline data available to hospitals
participating in CJR no sooner than 60
days after the initially proposed start
date of the model, as well as suggestions
for when these data should be made
available. We have carefully considered
the timeframes for making these data
available, and have made other
modifications to our proposed rule that
should assist in mitigating the concerns
commenters have raised on this issue.
First, as discussed in section III.C.2.a. of
this final rule, we are delaying the start
date of the model to April 1, 2016,
which is, in part, in response to when
data could be made available. Second,
as discussed in III.C.8. of this final rule,
we are also reducing the potential risk
to participating hospitals by lowering
the stop-loss limit from 10 percent to 5
percent.
Final Decision: After considering the
public comments we received, we are
finalizing our proposal to make 3 years
of baseline data available to hospitals
and intend to make these data available,
upon request, before the April 1, 2016
start date.
5. Frequency and Period of Claims Data
Updates for Sharing BeneficiaryIdentifiable Claims Data During the
Performance Period
As indicated in our proposed rule, we
believe that the availability of
periodically updated beneficiaryidentifiable claims data will assist
hospitals participating in CJR to identify
areas where they might wish to change
their care practice patterns, as well as
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monitor the effects of any such changes.
With respect to these purposes, we have
considered what would be the most
appropriate period for making updated
claims information available to
hospitals, while complying with the
HIPAA Privacy Rule’s ‘‘minimum
necessary’’ provisions standard. We
stated our belief that quarterly claims
data updates align with a 90-day
episode window. Moreover, as a larger
episode window would be included, the
claims data would be more
representative of total costs and hence
more useful to hospitals as they
consider long-term practice changes.
Accordingly, in our proposed rule, we
proposed to make updated claims data
available to hospitals upon receipt of a
request for such information that meets
CMS’s requirements to ensure the
applicable HIPAA conditions for
disclosure have been met, as frequently
as on a quarterly basis. We sought
comments on this proposal.
Related to this is the period of claims
that would be represented in each
update. For example, as stated in our
proposed rule, we considered limiting
this period to 3 months of data, which
aligns with the frequency with which
we would make updated claims data
available. However, other than this
alignment, we did not see additional
reasons for artificially limiting the
period to this extent. Alternatively, we
considered providing an updated
dataset as frequently as each quarter that
would include data from up to the
previous 6 quarters. We noted our belief
that this level of cumulative data would
offer more complete information and
allow better trend comparisons.
Accordingly, we proposed to make
beneficiary-identifiable and aggregate
claims data available that would
represent up to 6 quarters of information
upon receipt of a request for such
information that meets the requirements
of the HIPAA Privacy Rule. We noted
that we intended for the data for this
model to be consistent with our
proposed performance year of (January
1 through December 31). To accomplish
this for the first year of CJR (2016), we
proposed to provide, upon request and
in accordance with the HIPAA Privacy
Rule, claims data from January 1, 2016
to June 30, 2017 on as frequently as a
running quarterly basis, as claims were
available. For each quarter and
extending through June 30, 2017, we
proposed that participants during that
first year would receive data for up to
the current quarter and all of the
previous quarters going back to January
1, 2016. These datasets would contain
all claims for all potential episodes that
were initiated in 2016 and capture a
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sufficient amount of time for relevant
claims to have been processed. We
noted in our proposed rule that we
would limit the content of this data set
to the minimum data necessary for the
participating hospital to conduct quality
assessment and improvement activities
and effectively coordinate care of its
patient population. We sought comment
on our proposal.
The following is a summary of the
comments received and our responses.
Comment: Commenters noted the
importance of hospitals being provided
timely data. Some commenters
requested real time data to enable
hospitals to quickly identify and
appropriately intervene to manage cost
and quality or to achieve the goals of the
program. Another commenter noted that
having data from the most recent
quarters would enable them to
understand their current performance.
While some commenters supported
the proposal to make data available on
a quarterly basis, most of the comments
we received on this topic indicated that
data would be needed on a more
frequent basis—specifically, on a
monthly basis. Commenters suggested
that monthly data would be needed for
hospitals to react more quickly and to
make course changes in response to
changes in cost, quality, and utilization.
A commenter noted that monthly
updates would be needed for tracking
patients whose highest utilization is in
the first 30 days after their surgery.
Another commenter suggested that in
addition to facilitating hospitals’ ability
to implement the model, having more
frequent data updates would encourage
provider engagement in the program.
Several comments also noted and
requested that we make data available
on a monthly basis as is done with the
BPCI model.
Response: We appreciate and concur
with comments on the importance of
being provided timely data, such as
claims data during the most recent
quarters, and the usefulness of these
data to hospitals’ ability to understand,
monitor, and adjust their performance.
We also appreciate commenter’s
requests for more frequent data updates,
but are not persuaded that access to
real-time data is needed for hospitals to
monitor and understand trends in their
practice patterns. We would also note
that making these data available on a
real-time basis would not be feasible for
CMS. Accordingly, we are modifying
our proposal from making these data
available on a quarterly basis to making
these data available ‘‘no less frequently’’
than on a quarterly basis with the goal
of making these data available on as
frequently as a monthly basis if
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practicable. Thus, we are revising
§ 510.300 (d) to state ‘‘The minimum
data necessary to achieve the goals of
the CJR model, as determined by CMS,
may be provided under this section for
a participant hospital’s baseline period
and no less frequently than on a
quarterly basis throughout the hospital’s
participation in the CJR model.’’ We
would note that this modification would
apply to both beneficiary-identifiable
claims data (line- and summary-level)
and aggregate regional data that was
discussed earlier in section III.C.4. of
this final rule. We would also note that,
because we are delaying our start date
from January 1 to April 1, 2016, we will
be providing upon request and in
accordance with the HIPAA Privacy
Rule, claims data for episodes that
began on or after April 1, 2016 (rather
than January 1, 2016) and ended on or
before December 31. In subsequent
years, data for each performance year
would reflect episodes that began on or
after January 1 of that year and ended
on or before December 31 of that year.
Further, in our proposed rule, we had
proposed to make up to six quarters of
data available to participating hospital.
We wish to clarify that, in order to make
these data most meaningful to
participating hospitals, we plan to
synchronize the availability of these
data with the annual payment
reconciliation process, which will occur
in the second quarter of the year
following the performance year. For
example, these data could then
represent four quarters for the first year
and five quarters thereafter.
Comment: Commenters requested that
data be made available automatically
without a specific request for the data.
These commenters typically pointed to
the potential for additional
administrative burden associated with
requesting the data. As an alternative,
commenters suggested that hospitals
receive data upon acceptance or
subscribe to receive data for the
duration of the model. A commenter
suggested that CMS establish a data
delivery sign-up process under which
hospitals can elect to receive beneficiary
claims data only, summary data only, or
both beneficiary claims and summary
data on an ongoing basis. Under this
system, hospitals could change their
election at any point during the model
as they develop data handling and
analytical capability. Another
commenter suggested that CMS make
data available through secure portals for
providers (or their designees) to access.
Response: We wish to limit
administrative burden for hospitals
participating in the model and wish to
clarify that while we will make data
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available to hospitals only upon request,
hospitals would be able to make a single
request for these data at the start of the
model that would make data available to
them for the duration of their
participation or until they notify CMS
that they no longer wish to receive these
data. To be consistent with the HIPAA
Privacy Rule’s ‘‘minimum necessary’’
standard, we will continue to make data
available only in response to a request.
Final Decision: After consideration of
the public comments we received, we
are modifying our proposal at § 510.300
(d) to no longer limit the availability of
updated data to a frequency ‘‘no more
often than once a quarter’’ to instead
‘‘no less frequently than on a quarterly
basis’’ with the goal of making these
data available as frequently as on a
monthly basis if practicable. We also
clarify that in order to receive data
during their participation in the model,
a hospital need only make a single
initial request rather than multiple
periodic requests.
6. Legal Permission To Share
Beneficiary-Identifiable Data
As stated in our proposed rule, we
recognize that there are a number of
issues and sensitivities surrounding the
disclosure of beneficiary-identifiable
health information, and note that a
number of laws place constraints on
sharing individually identifiable health
information. For example, section 1106
of the Act bars the disclosure of
information collected under the Act
without consent unless a law (statute or
regulation) permits for the disclosure. In
this instance, the HIPAA Privacy Rule
permits this proposed disclosure of
individually identifiable health
information by us.
We proposed to make participant
hospitals financially responsible for
services that may have occurred outside
of the hospital during the 90-day postdischarge period. Although we expect
hospitals to be actively engaged in postdischarge planning and other care
during the 90-day post-discharge period
for beneficiaries receiving LEJRs, as
discussed in section III.A. of the
proposed rule, we stated our belief that
it was necessary for the purposes of the
CJR model to provide participant
hospitals with beneficiary-level claims
data, either in summary or line-level
claim formats for a 3-year historical
period as well as on a quarterly basis
during the performance period. We
believe that these data constitute the
minimum information necessary to
enable the participant hospital to
understand spending patterns during
the episode, appropriately coordinate
care, and target care strategies toward
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individual beneficiaries furnished care
by the participant hospital and other
providers and suppliers.
Under the HIPAA Privacy Rule,
covered entities (defined as health care
plans, providers that conduct covered
transactions, including hospitals, and
health care clearinghouses) are barred
from using or disclosing individually
identifiable health information (called
‘‘protected health information’’ or PHI)
in a manner that is not explicitly
permitted or required under the HIPAA
Privacy Rule. The Medicare FFS
program, a ‘‘health plan’’ function of the
Department, is subject to the HIPAA
Privacy Rule limitations on the
disclosure of PHI. The hospitals and
other Medicare providers and suppliers
are also covered entities, provided they
are health care providers as defined by
45 CFR 160.103 and they conduct (or
someone on their behalf conducts) one
or more HIPAA standard transactions
electronically, such as for claims
transactions. In light of these
relationships, we believe that the
proposed disclosure of the beneficiary
claims data for an acute inpatient stay
plus 90-day post-discharge episode
where the anchor diagnosis at discharge
was MS–DRG 469 or 470 would be
permitted by the HIPAA Privacy Rule
under the provisions that permit
disclosures of PHI for ‘‘health care
operations’’ purposes. Under those
provisions, a covered entity is permitted
to disclose PHI to another covered entity
for the recipient’s health care operations
purposes if both covered entities have or
had a relationship with the subject of
the PHI to be disclosed, the PHI pertains
to that relationship, and the recipient
will use the PHI for a ‘‘health care
operations’’ function that falls within
the first two paragraphs of the definition
of ‘‘health care operations’’ in the
HIPAA Privacy Rule (45 CFR
164.506(c)(4)).
The first paragraph of the definition of
health care operations includes
‘‘conducting quality assessment and
improvement activities, including
outcomes evaluation and development
of clinical guidelines,’’ and
‘‘population-based activities relating to
improving health or reducing health
costs, protocol development, case
management and care coordination’’ (45
CFR 164.501).
Under our proposal, hospitals would
be using the data on their patients to
evaluate the performance of the hospital
and other providers and suppliers that
furnished services to the patient,
conduct quality assessment and
improvement activities, and conduct
population-based activities relating to
improved health for their patients.
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73513
When done by or on behalf of a covered
entity, these are covered functions and
activities that would qualify as ‘‘health
care operations’’ under the first and
second paragraphs of the definition of
health care operations at 45 CFR
164.501. Hence, as previously
discussed, we believe that this provision
is extensive enough to cover the uses we
would expect a participant hospital to
make of the beneficiary-identifiable data
and would be permissible under the
HIPAA Privacy Rule. Moreover, our
proposed disclosures would be made
only to HIPAA covered entities that
have (or had) a relationship with the
subject of the information, the
information we would disclose would
pertain to such relationship, and those
disclosures would be for purposes listed
in the first two paragraphs of the
definition of ‘‘health care operations.’’
When using or disclosing PHI, or
when requesting this information from
another covered entity, covered entities
must make ‘‘reasonable efforts to limit’’
the information that is used, disclosed
or requested the ‘‘minimum necessary’’
to accomplish the intended purpose of
the use, disclosure or request (45 CFR
164.502(b)). We believe that the
provision of the proposed data elements
listed previously would constitute the
minimum data necessary to accomplish
the CJR model goals of the participant
hospital.
The Privacy Act of 1974 also places
limits on agency data disclosures. The
Privacy Act applies when the federal
government maintains a system of
records by which information about
individuals is retrieved by use of the
individual’s personal identifiers (names,
Social Security numbers, or any other
codes or identifiers that are assigned to
the individual). The Privacy Act
prohibits disclosure of information from
a system of records to any third party
without the prior written consent of the
individual to whom the records apply (5
U.S.C. 552a(b)).
‘‘Routine uses’’ are an exception to
this general principle. A routine use is
a disclosure outside of the agency that
is compatible with the purpose for
which the data was collected. Routine
uses are established by means of a
publication in the Federal Register
about the applicable system of records
describing to whom the disclosure will
be made and the purpose for the
disclosure. We believe that the proposed
data disclosures are consistent with the
purpose for which the data discussed in
the proposed rule was collected and
may be disclosed in accordance with the
routine uses applicable to those records.
Notwithstanding these exceptions, in
the proposed rule, we stated our belief
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that it would be appropriate to provide
some form of notice to Medicare
beneficiaries about sharing these data.
Based on our experiences with data
sharing in other CMS programs and
models, we proposed a strategy for
notifying beneficiaries of claims data
sharing in the proposed rule, and in
order to provide meaningful beneficiary
choice over claims data sharing with the
participant hospitals in CJR. We
considered both ‘‘opt-in’’ and ‘‘opt-out’’
options for beneficiaries with respect to
data sharing in CJR. In our proposed
rule, we noted that an advantage of an
opt-in method was that consumers have
consistently expressed a desire that
their consent should be sought before
their health information may be shared
(Schneider, S. et al. ‘‘Consumer
Engagement in Developing Electronic
Health Information System.’’ Prepared
for: Agency for Healthcare Research and
Quality, July 2009, at 16. Available at:
https://healthit.ahrq.gov/ahrq-fundedprojects/consumer-engagementdeveloping-electronic-healthinformation-systems).
In the proposed rule, we also noted
that an opt-out method has been used
successfully in most systems of
electronic exchange of information
because it is significantly less
burdensome on patients and providers
while still providing an opportunity for
patients to exercise control over their
data. Thus, in our proposed rule, we
proposed to use an ‘‘opt-out’’ approach
to provide beneficiaries with the
opportunity to decline claims data
sharing directly through 1–800Medicare, rather than through the
participant hospital. We also proposed
to provide advance notification to all
Medicare beneficiaries about the
opportunity to decline claims data
sharing with entities participating in
CMS programs and models through
CMS materials such as the Medicare &
You Handbook. The Handbook would
include information about the purpose
of the model, describe the opportunity
for participants to request beneficiary
identifiable claims data for health care
operations purposes, and provide
instructions on how beneficiaries may
decline claims data sharing by
contacting CMS directly through 1–800–
MEDICARE. The Handbook would also
contain instructions on how a
beneficiary may reverse his or her
preference to decline claims data
sharing by contacting 1–800–
MEDICARE.
In the proposed rule, we noted one
advantage of these strategies was that 1–
800–MEDICARE is a communication
method to which beneficiaries have
familiarity and broad exposure. It also
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has the capability for beneficiaries to
use accessible alternative or appropriate
assistive technology, if needed. Also,
while many procedures in MS–DRGs
469 and 470 are planned in advance,
some are emergent or unplanned
procedures. Thus, asking the participant
hospital to provide advance notification
to the beneficiary, prior to the provision
of services, may be inappropriate or
impossible in certain circumstances. We
indicated that we would continue to
maintain a list of beneficiaries who have
declined data sharing and ensure that
their claims information is not included
in the claims files shared with
participants. Further, hospitals with
patient portals or Blue Button® may
have capability to garner patient input
prior to discharge through a hospital
intervention specific to patient and
caregiver education, while also aiding
the hospital to meet reporting
requirements for other CMS programs,
such as Meaningful Use under the EHR
Incentive Program for Medicare
Hospitals.
Finally, we proposed that participant
hospitals in CJR would only be allowed
to request beneficiary-identifiable
claims data for beneficiaries who: (1)
Have been furnished a billable service
by the participant hospital
corresponding to the episode definitions
for CJR; and (2) have not chosen to optout of claims data sharing. A beneficiary
that chose to opt-out of claims data
sharing would only be opting out of the
data sharing portion of the model. The
decision to opt-out would not otherwise
limit CMS’ use of the beneficiaries’ data,
whether the beneficiary can initiate an
episode, inclusion in quality measures,
or inclusion in reconciliation
calculations. Where a beneficiary chose
to opt-out of claims data sharing, our
data contractor would maintain a list of
all HICNs that choose to opt-out of data
sharing. We would monitor whether
participant hospitals continue to request
data on beneficiaries who have opted
out of having their data shared and do
not intend to make such data available
in response to CJR such a hospital’s
request.
We requested comments on our
proposals related to the provision of
both aggregate and beneficiaryidentifiable data to participant hospitals
in CJR. We indicated that we were
particularly interested in comments on
the kinds and frequency of data that
would be useful to hospitals, potential
privacy and security issues, the
implications for sharing protected
health information with hospitals, and
the use of a beneficiary opt-out, as
opposed to an opt-in, to obtain
beneficiary consent to the sharing of
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their information. We also requested
comments on whether it would be
helpful to provide any such system of
notices, since Medicare claims
information and other electronic
information is already routinely shared
for many other purposes among health
care providers and insurers, and
generally is subject to HIPAA
protections. We also proposed where
available, the exchange of CMS
beneficiary data with the local
electronic health information exchange,
a system that allows doctors, nurses,
pharmacists, other health care providers
and patients to appropriately access and
securely share a patient’s vital medical
information electronically in order to
facilitate the hospitals ability to share
timely patient data supporting improved
patient referral, access, and care
coordination across varied service
settings.
The following is a summary of the
comments received and our responses.
Comment: Several commenters
requested that the range of providers
with whom CMS shares data be
expanded beyond participating
hospitals, for example, to all CJR
collaborators including physicians and
PAC providers. A commenter suggested
that hospitals should receive data, even
if they were not in a participating MSA,
in order to begin making improvements.
Another commenter requested that
researchers, entrepreneurs and/or health
care consumers be provided data or a
subset of these data. A commenter
requested that a state be provided with
the data provided to participating
hospitals. This commenter noted that
making these data available would assist
the state in determining how such a
payment model would work under their
state Model. This commenter noted that
the data would facilitate data-driven
conversations with stakeholders around
the state and assist in determining
opportunities for improvement in their
health care environment.
Commenters expressed views that
expanding the availability of data would
enable collaborators to be in a better
position to improve their performance
and management of patient care as well
as ensure that care decisions are driven
by patient needs rather than the
potential financial risk of the hospital.
Response: We understand
commenters’ desire for us to expand the
scope of entities that would receive
beneficiary-identifiable claims data.
However, we believe it is neither
appropriate nor do we have the
authority to expand the availability of
these data beyond what we proposed.
As indicated earlier, there are
significant sensitivities and constraints
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on our ability to make beneficiaryidentifiable data available. We proposed
to make these data available to hospitals
participating in the model in
recognition of and in compliance with
these sensitivities and constraints. For
example, we proposed to make these
data available to hospitals as ‘‘covered
entities’’ that had a relationship with a
beneficiary under the HIPAA Privacy
Rule provision that permits the
disclosure of this information for
‘‘health care operations’’ purposes.
Accordingly, requests for data from
entities that are not participating in the
model would not meet the required
standards to receive these data. Thus,
we do not believe that we can make data
available under the model to outside
entities such as researchers or states that
might wish access to these data.
In the case of providers and suppliers
(for example, physicians, PAC
providers, etc.) that are collaborators
with hospitals participating in the
model, those providers and suppliers
might be eligible to receive data under
HIPAA provided that they had a
relationship with the beneficiary.
However, we do not believe it is
appropriate for CMS to provide
collaborators these data because
hospitals are the entities designated
under the model to assume risk and
responsibility for a beneficiary’s episode
of care under the model. Accordingly, as
the responsible entity (and as a covered
entity under HIPAA), we believe that
hospitals should decide what data they
need to manage care and care processes
with their collaborators and what data
they may or may not wish to make
available to those collaborators provided
they are in compliance with the HIPAA
Privacy Rule.
Comment: Commenters opposed our
proposal to allow beneficiaries to opt
out of having their data shared.
Commenters pointed to difficulty in
effectively managing care and
improving outcomes for these
beneficiaries in the absence of data. A
commenter noted that when a hospital’s
episode volume is small, the impact of
a single episode can have more
significant financial consequences.
Further, they expressed the view that
access to complete data is important
during the reconciliation process in
order to validate changes in savings and
gainsharing payments. A commenter
noted that while beneficiaries can
decline to have their data shared under
the Shared Savings Program, few have
elected this option. (We would note that
in our December 2014 proposed rule for
the Shared Savings Program (79 FR
72788), we indicated that approximately
two percent of beneficiaries had
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declined to have their data shared.) The
commenter also expressed the view that
CMS was under no legal obligation to
offer a data sharing opt out to
beneficiaries and that the conditions for
receiving data and potential criminal
penalties should suffice to discourage
misuse of the data. Some commenters
pointed to other CMS programs and
models where beneficiaries cannot opt
out of having their data shared, for
example, BPCI and the Hospital
Readmissions Reduction Program
(HRRP).
Some commenters suggested that
CMS exclude from the model those
beneficiaries who elect not to have their
data shared. Another commenter
recommended that CMS monitor the
frequency with which beneficiaries opt
out of sharing data and, if it reaches a
certain threshold for a CJR participant,
exclude those beneficiaries from
payment calculations. Further, they
requested that CMS seek stakeholder
input on how to prevent providers from
being disadvantaged by lack of data as
well as the appropriate thresholds for
excluding beneficiaries when data opt
out has reached a certain level.
Response: We appreciate the desire
among hospitals and other providers to
have complete information on their
assigned beneficiaries included in the
CJR model. While in our proposed rule
(80 FR41198), we stated our belief that
it would be appropriate to provide some
form of notice to Medicare beneficiaries
about sharing their data, we agree with
comments noting that we are not
required by law to offer beneficiaries the
choice to opt out of having their
personal information shared with
hospitals participating in the CJR model.
Rather, the HIPAA Privacy Rule
provides beneficiaries a right to request
restrictions on the use of their data, but
a covered entity, which includes the
Medicare FFS program or a hospital
participating in the model, may or may
not choose to grant the requested
restriction. We also concur with the
comment that CMS does not offer
beneficiaries the choice to opt out of
having their data shared under either
BPCI (see https://innovation.cms.gov/
Files/x/BPCI_Model2Background.pdf, or
https://innovation.cms.gov/Files/slides/
BPCI-Overview2-4.pdf) or HRRP (see
§ 412.154(f)).
In consideration of the comments we
received and our experience with
programs and models such as BPCI, we
have decided to provide participating
hospitals with as complete data on their
beneficiaries as is possible under the
law. We believe that making these data
available will enhance hospitals’ ability
to identify existing care patterns that
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73515
need to be changed or strengthened as
well as the kinds of strategies needed to
improve their care practices so that they
can be most successful under the model.
Thus, we have decided to not finalize
our initial proposal to allow
beneficiaries the choice to opt out of
having their data shared at this time. We
would note, however, that this does not
preclude beneficiaries from exercising
their right to request restrictions on the
use of their data either with the
participant hospital or with CMS, which
administers the Medicare FFS program,
by contacting 1–800–Medicare, through
which they can speak with a customer
service representative who can address
their concern.
Final Decision: We are not finalizing
our proposal permitting beneficiaries
the choice to opt out of having their
beneficiary-identifiable data shared. We
will make these data available to
participant hospitals, upon request and
in accordance with the HIPAA Privacy
Rule. We will not, however, be
providing beneficiary-identifiable data
under this model to collaborators within
the model or entities that are not
participating in the model.
Comment: Commenters encouraged
CMS to ensure its contractors that are
responsible for making data available to
participants provide accurate and
complete data within acceptable
timeframes. A commenter suggested the
creation of an ombudsman to serve as a
conduit for complaints and determining
whether a contractor should be subject
to a penalty. Another commenter
suggested that if data were not delivered
to a participant within a given period
(for example, 90 days after the end of a
calendar quarter), then payments to the
participant should be increased by some
percentage (for example, 5 percent)
during the following quarter. Similarly,
we also received a number of comments
related to data sharing but not with
respect to the CJR model. For example,
some commenters expressed concerns
with the quality and challenges of using
data provided under the BPCI model.
Response: We appreciate the need for
accurate, complete, and timely data and
will work with our contractors to ensure
they are achieving these goals according
to the terms of their contracts. Likewise,
consistent with the terms of their
contracts, we will take appropriate
corrective actions with contractors
where performance falls short of
expectations. While the model has not
yet been implemented, we have no
reason to expect that contractor
performance should fall short of
expectations and thus do not anticipate
a need for a special ombudsman to
address data complaints and assess
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penalties. Moreover, given that the
model is intended to encourage and
reward participants for improving the
efficiency and quality of care provided
to beneficiaries undergoing LEJR
procedures, we do not believe that it
would be appropriate to increase
payments to participants in response to
less than satisfactory performance by
administrative contractors, should it
occur. Comments on data sharing under
BPCI or other models or programs are
outside the scope of this rule and we
will not be addressing them.
Final Decision: In summary, we are
finalizing our proposal at § 510.300(d) to
make available to participant hospitals,
through the most appropriate means,
data that CMS determines may be useful
to participant hospitals. We are
finalizing our proposal to exclude
information that is subject to the
regulations governing the
confidentiality of alcohol and drug
abuse patient records (42 CFR part 2)
from any beneficiary identifiable claims
data shared with a hospital. We are
finalizing our proposal to make 3 years
of baseline data available to hospitals
and note our intent to make these data
available prior to the April 1, 2016 start
date. We are modifying our proposal at
§ 510.300 (d) to no longer limit the
availability of updated data to a
frequency no more often than once a
quarter to ‘‘no less frequently than on a
quarterly basis’’. We also clarify that in
order to receive data during their
participation in the model, a hospital
need only make a single rather than
multiple periodic requests. We are not
finalizing our proposal permitting
beneficiaries the opportunity to decline
having their beneficiary-identifiable
data shared. We will make these data
available to participant hospitals, upon
request and in accordance with the
HIPAA Privacy Rule. However, under
the CJR model, we will not be providing
these data to collaborators within the
model or entities that are not
participating in the model.
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F. Monitoring and Beneficiary
Protection
1. Introduction and Summary
We proposed the CJR model as we
believe it is an opportunity to improve
the quality of care and that the policies
of the model support making care more
easily accessible to consumers when
and where they need it, increasing
consumer engagement and thereby
informing consumer choices. For
example, under this model we proposed
certain waivers that would offer
participant hospitals or their
collaborators additional flexibilities
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with respect to furnishing telehealth
services, post-discharge home visits,
and care in SNFs, as discussed in
section III.C.11. of this final rule. We
believe that this model will improve
beneficiary access and outcomes.
Conversely, we do note that these same
opportunities could be used to try to
steer beneficiaries into lower cost
services without an appropriate
emphasis on maintaining or increasing
quality. We direct readers to sections
III.C.5. and III.D. of this final rule for
discussion of the methodology for
incorporating quality into the payment
structure and the measures utilized for
this model.
We believe that existing Medicare
provisions can be effective in protecting
beneficiary freedom of choice and
access to appropriate care under the CJR
model. However, because the CJR model
is designed to promote efficiencies in
the delivery of all care associated with
LEJR procedures, providers may seek
greater control over the continuum of
care and, in some cases, could attempt
to direct beneficiaries into care
pathways that save money at the
expense of beneficiary choice or even
beneficiary outcomes. As such, we
acknowledge that some additional
safeguards may be necessary under the
CJR model as providers and suppliers
are simultaneously seeking
opportunities to decrease costs and
utilization. We believe that it is
important to consider any possibility of
adverse consequences to patients and to
ensure that sufficient controls are in
place to protect Medicare beneficiaries
receiving LEJR related services under
the CJR model.
2. Beneficiary Choice and Beneficiary
Notification
We have proposed that hospitals in
selected geographic areas will be
required to participate in the model, and
that individual beneficiaries will not be
able to opt out of the CJR model when
they receive care from a participant
hospital in the model. We stated our
belief that it is not appropriate or
consistent with other Medicare
programs to allow patients to opt out of
a payment system that is unique to a
particular geographic area. For example,
the state of Maryland has a unique
payment system under Medicare, but
that payment system does not create an
alternative care delivery system, nor
does it in any way impact beneficiary
decisions. We also stated our belief that
an inability to opt out of a payment
system does not limit beneficiary choice
as all covered Medicare services remain
available under the model. We stated
that we did not believe that an ability
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to opt out of the payment system was
germane to beneficiary decisions
because this model does not change
beneficiary cost-sharing. We also stated
our belief that full notification and
disclosure of the payment model and its
possible implications is critical for
beneficiary understanding and
protection, given that under all payment
systems it is important to create
safeguards for beneficiaries to ensure
that care recommendations are based on
clinical needs and not inappropriate
cost savings. It is also important for
beneficiaries to know that they can raise
any concerns with their physicians,
with 1–800–MEDICARE, or with their
local QIOs.
This model does not limit the ability
to choose among Medicare providers or
the range of services available to the
beneficiary. Beneficiaries may continue
to choose any Medicare participating
provider, or any physician or
practitioner who has opted out of
Medicare, with the same costs,
copayments and responsibilities as they
have with other Medicare services
regardless of whether the provider or
supplier is a participant hospital or has
entered into a sharing arrangement with
a participant hospital. Physicians and
hospitals may identify and recommend
‘‘preferred providers,’’ a term used to
include both providers and suppliers,
which may include but are not limited
to CJR collaborators with sharing
arrangements with the participating
hospital, as long as such
recommendations do not result in
violations of current laws or regulations.
However, participant hospitals may not
restrict beneficiaries to any such list of
preferred or recommended providers/
suppliers and must clearly advise
beneficiaries that their choices are not
constrained. Moreover, hospitals may
not charge any CJR collaborator a fee to
be included on any list of preferred
providers or suppliers, nor may the
hospital accept such payments, which
would be considered to be outside the
realm of risk-sharing agreements. Thus,
this proposed payment model does not
create any restriction of beneficiary
freedom to choose providers and
suppliers, including surgeons, hospitals,
PAC or any other providers or suppliers.
As participant hospitals redesign care
pathways, it may be difficult for
providers and suppliers to sort
individuals based on health care
insurance and to treat them differently.
We anticipate that care pathway
redesign occurring in response to the
model will increase coordination of
care, improve the quality of care, and
decrease cost for all patients, not just for
Medicare beneficiaries. This anticipated
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change in the delivery of care to all
patients may further promote consistent
treatment of all beneficiaries.
We stated our belief that beneficiary
notification and engagement is essential
because there will be a change in the
way participating hospitals are paid. We
stated our belief that appropriate
beneficiary notification should explain
the model, advise patients of both their
clinical needs and their care delivery
choices, and should clearly specify that
any non-hospital provider or supplier
holding a risk-sharing agreement with
the hospital should be identified to the
beneficiary as a ‘‘financial partner of the
hospital for the purposes of LEJR
services.’’ These policies seek to
enhance beneficiaries’ understanding of
their care, improve their ability to share
in the decision making, and ensure that
they have the opportunity to consider
competing benefits even as they are
stated with cost-saving
recommendations. We stated our belief
that appropriate beneficiary notification
should do all of the following:
• Explain the model and how it will
or will not impact their care.
• Inform patients that they retain
freedom of choice to choose providers
and services.
• Explain how patients can access
care records and claims data through an
available patient portal and through
sharing access to caregivers to their Blue
Button® electronic health information.
• Advise patients that all standard
Medicare beneficiary protections remain
in place. These include the ability to
report concerns of substandard care to
QIOs and 1–800–MEDICARE.
After carefully considering the
appropriate timing and circumstances
for the necessary beneficiary
notification, we proposed in the
preamble that participating hospitals
must require all providers and suppliers
who execute a sharing arrangement with
a participant hospital to share certain
notification materials, to be developed
or approved by CMS, that detail this
proposed payment model before they
order an admission for joint
replacement for a Medicare FFS patient
who would be included under the
model. Participant hospitals must
require this notification as a condition
of any sharing arrangement. We also
proposed in the preamble that where a
participant hospital does not have
sharing arrangements with providers or
suppliers that furnish services to
beneficiaries during a CJR episode of
care, or where the admission for joint
replacement for a Medicare FFS patient
who would be included under the
model was ordered by a physician who
does not have a sharing arrangement,
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the beneficiary notification materials
must be provided to the beneficiary by
the participant hospital. However, we
proposed text regulations that would
require this notification by the hospital
in all instances, a requirement we will
keep in this final rule. The purpose of
this proposed policy is to ensure that all
beneficiaries that initiate a CJR episode
receive the beneficiary notification
materials, and that they receive such
materials as early as possible. We stated
our belief that this proposal targets
beneficiaries for whom information is
relevant, and increases the likelihood
that patients will become engaged and
seek to understand the model and its
potential impact on their care.
We noted that beneficiaries are
accustomed to receiving similar notices
of rights and obligations from healthcare
providers prior to the start of inpatient
care. However, we also considered that
this information might be best provided
by hospitals at the point of admission
for all beneficiaries, as hospitals provide
other information concerning patient
rights and responsibilities at that time.
We invited comment on ways in which
the timing and source of beneficiary
notification could best serve the needs
of beneficiaries without creating
unnecessary administrative work for
providers. We stated our belief that this
notification is an important safeguard to
help ensure that beneficiaries in the
model receive all medically necessary
services, but it is also an important
clinical opportunity to better engage
beneficiaries in defining their goals and
preferences as they share in the
planning of their care.
The following is a summary of the
comments received and our responses.
Comment: Some commenters
requested clarification as to the meaning
of our statement in the proposed rule
that beneficiaries could not ‘‘opt out’’ of
the model. Others were concerned that
this could restrict beneficiary choice.
Several commenters expressed an
opinion that beneficiaries should be
able to opt out of the CJR model if they
believed that it might result in a less
than optimum outcome.
Response: In proposing that
beneficiaries are not able to ‘‘opt out’’ of
the CJR model, we meant that
beneficiaries are not able to ‘‘opt out’’ of
having their care—when furnished in a
CJR episode—paid for under the
bundled payment methodology. This
does not mean that their right to choose
or decline otherwise covered Medicare
items and services is limited. CJR is a
test of a new payment methodology, and
as such, it is similar in many respects
to other payment methodologies that
already exist in Medicare, such as the
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73517
hospital IPPS. For example, payment
under the IPPS is a bundled payment
but does not create new coverage limits
for services contained within the
bundle. This model will test changes to
how we pay for care, but like Medicare
payment systems, it neither defines nor
limits coverage, nor limits beneficiary
choices to any specific covered services.
Providers may be influenced by the CJR
payment model, but in our view this
would be similar to how they may be
influenced by other payment
methodologies in Medicare. In both
cases, providers are expected not to treat
Medicare beneficiaries differently from
other patients based on differences in
Medicare payment. Moreover, the
safeguards discussed in this final rule
exist to ensure that the payment
structure does not disadvantage
Medicare beneficiaries. We note that
within traditional FFS Medicare we do
not allow beneficiaries to opt out of any
Medicare payment systems as payment
systems exist to ensure appropriate
payments for similar services across
beneficiaries and across providers.
Furthermore, because beneficiary cost
sharing will be unchanged under this
model, it will not have a direct financial
effect on beneficiaries and therefore
minimizes any impacts on beneficiary
freedom of choice.
Comment: Commenters questioned
whether hospitals should be allowed to
maintain lists of preferred providers and
suppliers. They expressed many
concerns about the tradeoffs between
beneficiary choice and the ability of the
participant hospital to steer, direct, or
compel beneficiaries into certain paths
or to certain providers and suppliers.
The more common sentiment was that
CMS should allow hospitals to clearly
identify their clinically integrated,
preferred partners and promote these
relationships to patients as a way of
promoting their care redesign efforts.
Commenters expressing this view stated
that CMS should allow hospitals to
differentiate between preferred and nonpreferred PAC providers and suppliers,
with hospitals determining the
providers and suppliers who were in
each category. This situation was
described as a ‘‘network’’ of preferred
providers.
Other commenters believed that
hospitals should be required to define
criteria for inclusion in a ‘‘preferred
network’’ based in whole or in part on
non-financial criteria such as quality
metrics, or that hospitals should define
and publish the criteria that they use.
Other commenters believed that
hospitals should be required to offer the
same gainsharing contracts to all willing
providers or suppliers. Other
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commenters pointed to section
1861(ee)(2)(H) of the Act, which states
that hospitals must ‘‘not specify or
otherwise limit the qualified provider
which may provide post-hospital home
health services, and identify any entity
to whom the individual is referred in
which the hospital has a disclosable
financial interest or which has such an
interest in the hospital.’’ These
commenters believe that the Act
precludes hospitals from establishing
and promoting networks under any
circumstances.
Commenters recommended that the
Secretary establish minimum criteria
such as quality of care, health outcomes,
price, accessibility, willingness to work
together on evidence-based protocols,
and patient experience of care, and that
CMS should exercise caution if it
permits the recommendation of specific
providers, given concerns that the
hospital may not have an adequate
understanding of the difference between
providers or provider types or that the
hospital may drive patients to ‘‘low
cost’’ providers in order to retain a
greater share of the savings while
putting beneficiaries at clinical risk by
potentially stinting on care. However,
commenters noted that hospitals must
be able to limit the options stated to
patients because the hospital will be
financially responsible for costs in the
episode.
Response: We agree that hospitals
should be allowed to identify preferred
providers and suppliers. We believe, as
we stated in our proposed rule, that
there are ways to balance beneficiary
freedom of choice with the ability of
hospitals to leverage efficiencies and
cost savings that may occur through the
use of certain providers/suppliers. On
the one hand, we proposed that
hospitals could recommend certain
providers/suppliers, including
providers/suppliers who are CJR
collaborators. On the other hand, we
proposed that hospitals could not limit
beneficiary choice, must inform
beneficiaries of all available providers/
suppliers, must inform beneficiaries that
their choices are not limited to preferred
providers/suppliers, and must inform
beneficiaries of the mechanisms by
which they may file concerns,
complaints or grievances. We do not
believe that it is necessary to require
hospitals to publicize or standardize
their preferred provider/supplier
selection criteria or release details of
their sharing arrangements, as we
believe that our proposal, which we are
finalizing in this final rule, sufficiently
protects beneficiary access while
providing the necessary flexibility to
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hospitals to leverage their relationships
with efficient providers and suppliers.
We believe that allowing hospitals to
disclose those providers and suppliers
who best contribute to improved
efficiency and better outcomes does not
limit beneficiary choice, provided that
beneficiaries are fully informed of any
financial dealings that could create a
conflict of interest. We therefore believe
that identifying these preferred
providers/suppliers is consistent with
section 1861(ee)(2)(H) of the Act, as it
does not specify or limit qualified
providers/suppliers that may provide
PAC, and we believe that our
requirement that beneficiaries must be
notified of financial arrangements is
both consistent with and required by
that section. We further believe that the
proposed requirement to notify
beneficiaries of all preferred and nonpreferred PAC providers/suppliers,
coupled with the requirement to
identify CJR collaborators that we are
finalizing in this rule, provides
beneficiaries with sufficient information
to allow them to avoid improper
steering or referral.
Comment: Commenters expressed
concern that if hospitals were allowed
to maintain and promote a network of
preferred providers/suppliers,
additional steps were needed to ensure
that beneficiaries had access to the
entire spectrum of PAC providers. Some
commenters suggested that hospitals
should be required to ensure that they
have an adequate network of PAC
providers and have partnerships with a
full range of PAC providers. Some
commenters also believed that hospitals
should be required to document that the
full range of PAC providers was offered,
documenting conversations with
patients about all treatment options, and
requiring that discussions between the
patient and unbiased care team
members should all be on record.
Response: We do not agree with these
recommendations from commenters.
With respect to the extent of the
network, we note that different
communities have different assortments
of PAC providers/suppliers that meet
the unique needs of that community.
Requiring a full range of PAC providers/
suppliers in a network could disrupt
established patterns of care in a manner
that we do not intend and is not
necessary for success under the model,
and thus we decline to adopt such a
requirement. With respect to specific
documentation requirements suggested
by commenters, although we agree with
the intent of ensuring that hospitals
provide full disclosures to beneficiaries,
we do not believe that additional
regulatory requirements are necessary as
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hospitals are best positioned to
determine the ways in which they can
use their existing medical records and
discharge planning to document
compliance with all applicable
Medicare beneficiary notification
requirements, including the
requirements we are finalizing in this
rule, without creating a new
administrative burden, which could be
extensive if specific conversations were
required to be documented.
Comment: Many commenters
commented on the timing, content and
form of the initial beneficiary
notification of the model. Most
commenters believed that notification at
the point of admission was too late and
was not occurring at a time when
beneficiaries could process and act on
the information. They recommended
that notification should be provided at
least a week prior to admission or
during the individual’s consultation
with their physician, prior to surgery. A
commenter suggested that basic fact
sheets should be made available to
beneficiaries in physician offices.
Another commenter believed that we
should require CJR hospitals to meet
with prospective beneficiaries prior to
admission so that this notification could
be delivered and discussed.
With respect to content, some
commenters believed that the
notification should be highly
standardized, based on a standard or
model notice created by CMS, or even
that CMS should create and provide a
single notice to all beneficiaries. Other
commenters believed that the notice
should reflect specifics of the PAC
specific network or of the patient,
informing beneficiaries of differences in
capacity and patient incurred costs
among the various settings or explaining
the patient’s ability to choose their own
PAC provider/supplier, even if the
hospital is not satisfied with the quality
of the provider/supplier that is chosen.
Finally, a commenter believed that the
model should be considered to be
human experimentation and should
follow human subject notice
requirements.
With respect to form, several
commenters opined that beneficiary
notification should be permitted on an
electronic basis, with proof of receipt by
the beneficiary rather than a paper
process that requires a beneficiary’s
signature.
Response: We believed that we had
identified the essential elements in our
proposed rule, and that any notice that
was compliant with those elements
would provide sufficient notice to the
beneficiary. We acknowledge that this
model will be collecting information
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about humans as we monitor the impact
of this payment model on the quality
and efficiency of the delivery of patient
care, but we further note that, under the
public benefit exemption at 45 CFR
46.101(b)(5), this would qualify for
exemption from the HHS human
subjects regulatory requirements, and is
therefore not required to comply with
those requirements. However, we agree
with commenters that additional
specific details regarding the notice
requirements and a model notice will
improve the consistency of the
notification. We discuss those
additional requirements in the following
paragraphs and we will incorporate
them in a model notice or model notices
which we will produce. We will
produce a model notice or model
notices, or versions of a model notice,
that will satisfy our notice requirements
for physicians who are CJR
collaborators, for PAC providers and
suppliers who are involved in a sharing
arrangement, and for participant
hospitals, who are required to provide
beneficiaries with general notice of the
CJR model.
With respect to timing, we proposed
that beneficiaries should be notified at
the point of admission because it is
hospitals that are participants in the
model, not physicians. We do not agree
that the point of admission is too late,
noting that the point of admission is
when notice of other patient rights
regarding the hospital stay are required
by Medicare. However, we acknowledge
that earlier notification of the
beneficiary is desirable. We concur that
a beneficiary fact sheet and/or a
standard notification form for voluntary
distribution in the physician’s office
would be helpful, and that physicians
should be encouraged to explain the
model to prospective patients as early as
possible. In addition to the model
notification forms for hospitals,
physicians, and PAC providers/
suppliers that we will develop and
publish prior to the start of the model,
we will consider developing a model
fact sheet as we develop educational
materials, and we note that participant
hospitals are not precluded from
developing such fact sheets for the use
of their medical staff. Furthermore, we
agree that, in the limited case of
physicians who have sharing
arrangements with hospitals, we are
modifying the regulations text from
what we proposed to specify that
hospitals must include in any physician
sharing arrangement a condition under
which the collaborating physician—(1)
Agrees to notify the patient of the
structure of the CJR model; (2) agrees to
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inform the patient that the physician is
participating in a sharing arrangement;
and (3) agrees to deliver that
information at the time that a decision
for surgery is made. We also will modify
our proposal in response to concerns
that more PAC-specific notice is
necessary. In addition to this physician
notification requirement, we will
require notification of involvement in a
sharing arrangement from any other
providers and suppliers engaged in a
sharing arrangement with a participant
hospital, with that notice of
involvement to be delivered before the
first time a service related to the joint
replacement, such as a PAC SNF stay,
is furnished to the beneficiary by that
entity. However, in response to
comments to preserve participant
hospitals’ flexibility, as we previously
discussed we are not finalizing our
proposal that these notices would be
approved by CMS, but we will instead
develop one or more model notices that
participant hospitals and others can use.
With respect to form, we agree with
commenters that written
communication is not limited to paper,
and we note that we did not propose a
written signature requirement in
regulation. We agree that electronic
health records may be used to maintain
documentary evidence of written
communications, and we have not
specified a specific mechanism by
which proof of beneficiary notification
must be maintained.
Comment: Commenters were varied in
their opinions regarding the
requirements for the hospital to identify
PAC providers/suppliers at the point of
admission and/or the point of discharge
planning. Many commenters believed
that the hospital should be required to
provide a list of all PAC providers.
There was a concern that the CJR model
may function like ACO networks, where
it will be mandatory to tell beneficiaries
which providers are in network, but it
will not be mandatory to disclose outof-network options. It was common, but
not universal, for commenters to believe
that the list could distinguish the
providers included within a CJR
participant hospital’s provider network
(preferred) from those not participating
in the CJR model (not preferred), that is,
which PAC providers are
‘‘collaborators.’’ Some commenters
believed that financial arrangements
should be disclosed, while others
believed that non-financial
arrangements should also be disclosed.
Focusing on the list of collaborators,
commenters suggested that the hospital
identify all CJR collaborators and should
further identify differences between CJR
collaborators that may be important to
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73519
beneficiaries, including such things as
their geographic proximity.
Response: Noting the wide range of
comments, we believe that our proposed
rule represents a middle position that
adequately balances transparency and
beneficiaries’ need to know their full
range of options with hospitals’ desire
to inform beneficiaries to which PAC
providers/suppliers are most efficient
and provide the highest quality care. We
believe this is best accomplished by
requiring hospitals to provide
beneficiaries with a complete list of all
PAC providers/suppliers in the area but
allowing them to identify ‘‘preferred
providers,’’ that is, high-quality,
efficient providers whom a participant
hospital would prefer patients choose,
on the basis of internal assessments of
quality and cost. Because we recognize
that there may be many high quality and
efficient PAC providers/suppliers who
do not enter into sharing arrangements,
we do not believe that a hospital’s list
of preferred providers/suppliers must
include only CJR Collaborators, nor do
we believe that all CJR Collaborators
must be considered to be preferred
providers/suppliers. We do not believe
that the details of sharing arrangements
need to be disclosed, as those
arrangements may be business-sensitive,
but we do believe that the existence of
any CJR gainsharing or other financial
relationship with any physician or PAC
provider must be disclosed. We
recommend that hospitals be
transparent in how preferred providers/
suppliers are generally selected, and we
note that policies that define the
relationships between the participant
hospital and the physicians and PAC
providers/suppliers in its region must
be consistent with applicable law, but
we do not believe that the details of
hospitals’ internal business processes
must be disclosed. However we do agree
that additional notification as part of
discharge planning is important. We
will also modify our proposal in
response to comments to add a patientspecific financial notification at the
point of discharge planning. We will
require that a supplementary
notification should be made available to
beneficiaries, requiring that hospitals
must, at the point of discussing PAC
options, provide written notification to
beneficiaries if the hospital makes any
referrals for non-covered services during
discharge planning. Specifically,
hospitals shall be required to notify
beneficiaries of any transfers to a SNF
under circumstances in which the SNF
stay will not be covered, and also notify
the beneficiary of any other referral for
PAC that the hospital knows or should
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have known will not be covered by
Medicare.
Comment: Commenters requested that
CMS provide additional information
about what details must be included in
the beneficiary notices, and stated that
significant education of hospitals will
be required. To promote facility
compliance and avoid improper
interpretations or incorrect assessments
at audit, some commenters urged CMS
to completely waive hospital discharge
planning requirements that prohibit
hospitals from specifying or otherwise
limiting the information provided on
post-hospital services. Other
commenters recommended that we
provide specific guidance on how to
facilitate and operate within
partnerships with PAC collaborators
(whether a financial or simply a clinical
partnership exists) while also
complying with existing patient choice
requirements. A commenter suggested
that hospitals could continue to be
required to—(1) Inform the patient or
the patient’s family of their freedom to
choose among participating Medicare
providers of post-hospital care services;
(2) respect patient and family
preferences when they are expressed; (3)
present a complete list of qualified
providers that are available to the
patient; and (4) recommend high quality
PAC providers with whom they have
relationships (either financial and/or
clinical) for the purpose of improving
quality, efficiency or continuity of care.
Response: We agree that additional
guidance may be helpful and believe
that, in addition to the discussions we
have included in this preamble to our
final rule, such information may best be
provided as additional detail in the
regulation text governing beneficiary
notification and supplemented by
published guidance and educational
materials. We agree with commenters’
suggestions of additional details that
they believe should be specified in
order to promote understanding,
consistency and compliance. Therefore,
we will modify the beneficiary notice
requirements as recommended in
comments, to require participant
hospitals to—(1) Inform the patient or
the patient’s family of their freedom to
choose among participating Medicare
providers/suppliers of post-hospital care
services; (2) respect patient and family
preferences when they are expressed;
and (3) present a complete list of
qualified providers/suppliers that are
available to the patient. We believe that
these requirements were inherent in our
proposal to require notice of all
qualified providers/suppliers but we
acknowledge that the additional details
may be helpful.
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We do not agree that a waiver of
existing discharge planning
requirements is necessary, and we
discuss the specification of allowable
and non-allowable financial
arrangements in section III.C.10. of this
proposed rule. However, we will also
add additional details concerning
financial arrangements to our notice
requirements in order to protect
beneficiaries while ensuring that
hospitals, if desired, may recommend
‘‘preferred providers,’’ that is, high
quality PAC providers/suppliers with
whom they have relationships (either
financial and/or clinical) for the
purpose of improving quality,
efficiency, or continuity of care.
Specifically, in order to address
financial concerns deriving from
potential conflicts of interest, we will
specify that hospitals and collaborators
must disclose the existence of sharing
arrangements. In order to protect against
situations which might expose
beneficiaries to unexpected liability, we
will also specify that hospitals must
provide written notification of any noncovered services which are
recommended or considered as part of
discharge planning whenever a hospital
knows or should have known that such
services are non-covered.
Comment: Commenters were
concerned that it could be confusing to
inform beneficiaries that any
participating SNF could provide
covered services if the 3-day stay rule
was met, but that SNFs meriting 2 stars
or less would not be covered under the
3-day waiver provisions. This was
believed to be particularly problematic
because individual star ratings can
change frequently, making it difficult for
hospitals to keep up with all current
ratings. Commenters inquired whether
they could limit the list of PAC
providers stated to beneficiaries.
Response: We do not agree that this is
overly confusing as beneficiaries already
understand that there are statutes and
regulations that define the
circumstances under which SNF stays
are covered, for example, following a 3day hospital stay. Moreover, we have
stated that it is essential for beneficiary
choice to ensure that beneficiaries are
informed of all covered opportunities
available to them, including PAC
providers/suppliers considered by the
hospital to be preferred as well as nonpreferred. Since stays in SNFs that do
not meet the conditions of the 3-day
waiver would be covered by Medicare if
they met the existing conditions for
coverage (that is, the beneficiary has a
qualifying 3-day hospital stay), these
SNFs still must be included in any
complete list of PAC providers.
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Providing the complete list is necessary
to meet the requirements of section
1861(ee)(2)(H) of the Act, a requirement
which we believe promotes beneficiary
choice. However we do note that the
star rating may be critical for the
beneficiary to determine liability in the
event that a beneficiary is discharged
with less than a 3-day stay. We had
proposed that cost-sharing and quality
information must be provided to
beneficiaries where applicable and we
agree with commenters who
recommended that additional
information about beneficiary liability
could be provided. Therefore, we are
modifying our requirement to notify the
beneficiary of all covered PAC options
by adding that this list of PAC options
stated as part of discharge planning
must be accompanied by a written
statement that identifies any noncovered services to which the
beneficiary may be referred.
Specifically, in the event that the
patient is discharged prior to
completing a 3-day stay, the hospital
will be required to clearly identify, in
writing, any 1 or 2 star SNFs on the
complete list of PAC providers provided
to the beneficiary. In the event of a
discharge prior to a 3-day stay, the list
must also include a statement that the
named beneficiary, having not
completed a 3-day stay in the acute care
hospital, would be entirely financially
responsible for a stay at any of those 1
or 2 star SNFs.
Final Decision: After consideration of
the public comments received, we are
finalizing our proposal to require that
hospitals in the CJR model notify
beneficiaries of the requirements
surrounding the model at the point of
admission to the hospital and we are
modifying our proposal to add
additional detail to the content, timing
and form of our notification
requirements in response to comments,
as specified in this paragraph. We will
continue to require participant hospitals
to provide beneficiaries on admission
with a general notice of the existence of
the model and of certain beneficiary
rights. We are requiring that, as
discussed in the preamble to the
proposed rule, participant hospitals
must require as a condition of any
sharing arrangement that the
collaborators must notify beneficiaries
of the existence of a sharing
arrangement. We are modifying our
regulations to specify that, in the case of
physicians, this notification must occur
at the point of the decision to proceed
to surgery, or, in the case of other
collaborators, prior to the furnishing of
the first service provided by the
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collaborator that is related to the joint
replacement. We additionally are
finalizing with modification our PAC
notification requirements, specifying
that participant hospitals as part of
discharge planning must inform
beneficiaries of all Medicare
participating PAC providers/suppliers
in an area but may identify those
providers/suppliers that the hospital
considers to be preferred. To increase
beneficiary awareness we are specifying
that the participant hospital must also
as part of this specific second notice
inform the beneficiary of providers/
suppliers with whom a sharing
arrangement exists. We are further
modifying the notification requirements
to require participant hospitals to
reference the most recently published
CMS list of SNFs which qualify for the
waiver of the 3-day rule. This
modification is to specifically notify
beneficiaries of their liability should
they be discharged upon a less-than-3day stay to a SNF that does not qualify
for the waiver that we are finalizing for
this model, and to notify the beneficiary
of possible beneficiary liability if the
hospital recommends or refers the
beneficiary to any other services, which
it knows or should have known to be
non-covered services under Medicare.
This latter notice is in addition to any
ABN or other hospital notice of
noncoverage that may be required under
existing regulations.
3. Monitoring for Access to Care
Given that participant hospitals
would receive a reconciliation payment
when they are able to reduce average
costs per case and meet quality
thresholds, they could have an incentive
to avoid complex, high cost cases by
referring them to nearby facilities or
specialty referral centers. We intend to
monitor the claims data from participant
hospitals—for example, to compare a
hospital’s case mix relative to a premodel historical baseline to determine
whether complex patients are being
systematically excluded. We will
publish these data as part of the model
evaluation to promote transparency and
an understanding of the model’s effects.
We also proposed to continue to review
and audit hospitals if we had reason to
believe that they are compromising
beneficiary access to care. For example,
where claims analysis indicates an
unusual pattern of referral to regional
hospitals located outside of the model
catchment area or a clinically
unexplained increase or decrease in
joint replacement surgery rates.
The following is a summary of the
comments received on monitoring for
access to care, and our responses.
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Comment: Many commenters reported
concerns related to ways in which the
payment structure might adversely
impact the services that were available
to beneficiaries. Commenters also
suggested a number of approaches to
mitigate those general risks, such as
increased risk adjustment, and
increased quality measures in order to
improve beneficiary protections. These
comments are addressed in the
preamble sections most closely
concerned with the individual topics.
Commenters raised a number of
questions about determinations of
medical necessity and their effect on
access to care. A commenter, quoting
our proposed rule in which we stated
that gainsharing payments and
alignment of payments must not induce
collaborators to limit medically
necessary services, requested that we
articulate who will decide what is
medically necessary and how this
determination would be made. That
commenter recommended that we
encourage the use of treatment protocols
based on objective criteria. Other
commenters urged us to require CJR
participant hospitals to demonstrate that
they have appropriateness criteria in
place to assess beneficiary need for joint
replacement.
Commenters had two competing
concerns. First, they were concerned
that the bundled payment created a risk
of patient ‘‘dumping,’’ or
inappropriately referring patients to
other providers based on financial
considerations. They were concerned
that surgeons/hospitals will avoid
complex/sicker patients not only to
avoid the losses associated with
expensive cases but also to avoid cases
at risk for readmission. Similarly, they
stated that hospitals will avoid lower
socioeconomic patients unless there is a
socioeconomic risk adjustment.
Commenters suggested that these risks
could be mitigated by adding specific,
separate penalties for withholding care
or steering patients inappropriately or
rejecting patients entirely. These
penalties should progress up to and
include termination from Medicare.
Second, commenters identified a risk
of overutilization. These commenters
believed that some physicians and
hospitals will provide services to
healthier patients who could benefit
from less invasive treatments in order to
improve their metrics, or increase
volume to account for lost revenue, or
treat healthier patients, which will
result in adjustments to a hospital’s
patient mix. A commenter asserted that
both influences are already in effect,
with considerable overutilization of
LEJR (based on regional variation) and
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73521
also with some studies suggesting that
‘‘only 1 in 10 patients needing LEJR are
getting it.’’
Commenters also recommended other
steps in addition to a general
recommendation for an appropriateness
(medical necessity) measure to gauge
the appropriateness of care at the
beginning of the episode. It was for this
reason that commenters urged us to
require CJR participant hospitals to
demonstrate that they have
appropriateness criteria in place to
assess beneficiary need for joint
replacement. Commenters urged CMS to
monitor changes in utilization patterns
and case mix as part of the evaluation,
and to generally monitor whether
barriers to patient access develop in
MSAs participating in the CJR program,
and to make necessary alterations to the
model if complicated hip/knee
replacement cases are found to be
underserved.
Response: We acknowledge that
overutilization and underutilization are
both potential issues related to access.
We note that the usual tools employed
by CMS to monitor and prevent
overutilization all apply to the services
delivered within the CJR model. These
tools include data analysis, the process
of tracking patterns of utilization and
trends in the delivery of care, and
medical review, a clinical audit process
by which we verify that services paid by
Medicare were reasonable and necessary
in accordance with section 1862(a)(1)(A)
of the Act. We believe that these tools
as employed by the MACs and by the
QIOs will be sufficient to check for the
medical necessity of CJR services. We
do not believe that it is necessary to
impose a requirement that hospitals
maintain specific appropriateness
criteria. We note that there are a wide
variety of criteria developed by national
healthcare organizations, including
providers and payers, and that a process
that is appropriate for a large facility
with many community physicians might
not be workable in a smaller facility
with a single LEJR surgeon. With respect
to underutilization, we agree that it is
important for us to monitor changes in
utilization patterns and case mix, and to
generally monitor whether barriers to
patient access develop in MSAs
participating in the CJR model. We note
that this is encompassed by the
evaluation process for the model, so we
will be able to make necessary
alterations to the model if complicated
cases are found to be underserved.
However, we do not at this time believe
that specific requirements for medical
necessity or utilization review are
necessary, beyond those broad
requirements which are set by the CoPs,
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such as those at § 482.30. We believe
that the existing influences of
reputation, care guidelines, QIO review,
Joint Commission review, quality
metrics, and our retrospective model
evaluation are sufficient to ensure that
beneficiary access to care is not
impeded.
We also agree with commenters that
additional specific regulatory detail
should be added to address the
consequences of systemic
underutilization. We proposed that
participant hospitals would not be
eligible for reconciliation payments if
those payments are associated with
actions that threaten beneficiary health,
and we note that systemic instances of
under-delivery of care threaten that
health and therefore constitute a reason
to withhold reconciliation payments.
We also note that we have the authority
to revoke provider enrollment in the
Medicare program for cause, such as
providing substandard care that places
beneficiaries at risk that, is, by underdelivering care. As an intermediate step,
we further note that we have additional
options, such as requiring additional
actions under a corrective action plan in
order to avoid revocation. However, we
reiterate that we do not believe such
aggressive measures are necessary, as
we believe that such concerns as
reputation and patient outcomes
provide sufficient motivation for most
providers/suppliers.
Comment: Commenters also identified
concerns about inappropriate
limitations of access to certain services
due to network restrictions for
beneficiaries who are appropriately
undergoing a joint replacement. Some
commenters believed that the current
CJR proposal has the potential
consequence of encouraging hospitals to
select only the most ‘‘efficient’’ or ‘‘cost
effective’’ orthopedic surgeon to enter
into sharing arrangements or to continue
having admitting privileges. Hospitals
might de-credential or restrict surgeons
who treat expensive patients. Similar
concerns exist for PAC providers; the
model might encourage hospitals to
limit access to small providers/
suppliers, or encourage hospitals to buy
small PAC providers and even
physician practices. While integrated
systems may lead to more coordinated
care, consolidation may also lead to
price increases and diminished quality
as competition is reduced. Commenters
believed that CMS should introduce a
prohibition of any practice of excluding
‘‘less efficient’’ or ‘‘less cost effective’’
surgeons or PACs. Other commenters
suggested that we should monitor
activities involving distribution of
payments to guard against unfair
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business practices and to promote a fair
and equitable distribution of savings for
all providers who are involved as
collaborators.
Response: While we recognize the
concerns that higher quality is
sometimes at odds with lower cost, we
note that the purpose of this model is to
encourage more efficient delivery of
high quality care, that is, to reduce cost
while maintaining or increasing quality.
We believe that such factors as
reputation and peer-reviewed practice
guidelines work to ensure that hospitals
and physicians will continue to provide
quality services. We also believe that the
antitrust laws help to prevent anticompetitive practices in the
maintenance of hospital networks,
allowing competition between network
providers to promote high quality
outcomes. While we believe that
antitrust laws, anti-kickback provisions
and other existing laws and regulations
may help deter the business practices
which concerned commenters, we agree
that additional monitoring is prudent
and will therefore monitor sharing
arrangements and beneficiary and
provider/supplier comments for any
evidence of anticompetitive behavior.
Comment: In addition to the previous
commenters’ concerns about
opportunities for participant hospitals
to restrict beneficiary access to specific
providers, commenters were also
concerned about opportunities for the
under-delivery of care by providers the
beneficiary did access, that is,
underdelivery of care by the participant
hospitals and their collaborators. This
practice is often referred to as
‘‘stinting.’’ Commenters were concerned
that the CJR model does not represent a
balanced approach to improve quality
while reducing cost. Overall, they
believed that the use of Medicare
spending per beneficiary scores as a key
indicator will drive hospitals to low cost
care at the expense of quality. Specific
concerns were that patients may be
directed away from more expensive
PAC options (IRFs or SNFs, for
example), it will discourage extensive
therapy in the PAC environment even
when warranted, less attention will be
paid to such positive factors as
prevention (for example, falls), pain
management and overall outcomes, and
readmissions may be avoided even
when necessary. A commenter was also
concerned that beneficiaries may be
forced to attend in-network facilities
rather than out-of-network facilities near
their homes. To mitigate these concerns,
commenters recommended that controls
be put in place to ensure that sicker
patients receive LEJR and appropriate
higher intensity PAC, to ensure that
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collaborators do not reduce or limit
medically necessary services to any
beneficiary, and to ensure that
physicians continue to select the
devices, supplies and treatments that
are in the best interest of the patients.
They recommended a pre-model
hospital review, that hospitals have the
ability to deliver, or contract for,
evidence-based care for the entire
bundle of services, including the
capacity to provide all levels of
rehabilitation services, including people
with disabilities or who may need
intensive rehabilitation services and/or
community supports. Finally, several
commenters recommended that
alternative payment options should be
considered for otherwise expensive
environments such as the IRF, SNF,
and, in the case of outpatient surgery,
the outpatient hospital or ambulatory
surgical center.
Response: We agree that commenters
have accurately described possible risks,
and we note that similar risks are
inherent in all bundled payment models
and systems. For example, commenters
expressed similar concerns when DRGs
were introduced in 1985, yet DRGs are
now used in the established IPPS. After
30 years of use, we have not reported
any evaluations establishing that the
economic pressures to create
efficiencies have compromised
beneficiary care, so we do not expect
different results with this model.
Nonetheless, we agree that monitoring is
necessary in order to further reduce
these potential risks. However, we have
consistently found that those traditional
authorities available to the Secretary,
previously discussed in their role to
prevent the use of limited networks to
avoid the delivery of necessary services,
are adequate to provide a
counterbalance to the economic
incentives that could drive
underdelivery of care. Therefore, we
believe that we must use our existing
oversight authority to monitor the risks
of this payment model, just as we
monitor the various risks inherent in all
payment models and systems, but we do
not believe that new controls are
necessary which require specific
incorporation into regulation, other than
those which we proposed and we have
now modified in response to comments.
We do not believe that the additional
controls are necessary because we have
a number of established mechanisms by
which we will monitor for evidence of
the underdelivery of care, and by which
we can react to and mitigate any
identified problems. We will be
monitoring data in the process of
calculating quality metrics, and we have
several reporting mechanisms, such as
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1–800–MEDICARE. We monitor the
quality of hospitals stays and surgical
procedures through the QIO, we
routinely review medical records in our
claims audits, and we specifically
investigate outcomes as part of our
evaluations of demonstrations and
payment and service delivery models.
All of these processes create
opportunities to identify potentially
non-compliant providers/suppliers.
Providers/suppliers who are
investigated and found to be
inappropriately denying care or
diverting patients may be sanctioned
using our existing authority, with
penalties that may include participant
hospital ineligibility for reconciliation
payments, revocation from the Medicare
program if patients are placed at risk by
substandard care, or other applicable
administrative actions.
Final Decision: After consideration of
the public comments we received, we
are finalizing the proposal to apply our
existing authority to monitor for
overutilization and underutilization of
care under the CJR model. We are
modifying our proposed policies for
reconciliation payments at § 510.410 to
allow us to determine that a participant
hospital is ineligible to receive or retain
a reconciliation payment if the payment
is found to be based in part on savings
resulting from an inappropriate and
systemic underdelivery of care.
4. Monitoring for Quality of Care
Monitoring General Quality of Care:
As we noted previously, in any payment
system that promotes efficiencies of care
delivery there may be opportunities to
direct patients away from more
expensive services at the expense of
outcomes and quality. We believed that
professionalism, the quality measures in
the model, and clinical standards can be
effective in preventing beneficiaries
from being denied medically necessary
care in the inpatient setting and in PAC
settings during the 90 days postdischarge. Accordingly, the potential for
the denial of medically necessary care
within the CJR model will not be greater
than that which currently exists under
IPPS. However, we also believe that we
have the authority and responsibility to
audit the medical records and claims of
participating hospitals and their CJR
collaborators in order to ensure that
beneficiaries receive medically
necessary services. We may also
monitor agreements between participant
hospitals and their CJR collaborators to
ensure that such agreements do not
result in the denial of medically
necessary care or other program or
patient abuse. We invited public
comment on whether there are elements
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of the CJR model that would require
additional beneficiary protection for the
appropriate delivery of inpatient care,
and if so, what types of monitoring or
safeguards would be most appropriate.
The following is a summary of the
comments received on monitoring for
quality of care, and our responses.
Comment: Several commenters stated
that CMS should ensure the safety and
cost effectiveness of surgical implants
used in the CJR model and that CMS
should require that evidence-based
purchasing be required in the CJR
model. As these commenters were
concerned that hospitals will avoid high
cost devices, they urged CMS to put
controls in place that protect patients
against wholesale changes in device
offerings of providers. A commenter
suggested that we should consider
prohibiting gainsharing altogether when
tied to the use of less expensive and
lower-utility devices but in any event
that participating hospitals should be
carefully monitored for the
appropriateness of device choice for
individual patients and surgeons.
Response: We note that the CJR model
is built around an inpatient admission.
Under the IPPS, the cost of the device
is already bundled into the payment for
the hospital admission. Therefore,
hospitals have long had incentives to
use less expensive and lower utility
devices as a way of maximizing their
profit under IPPS. However, we have
not identified any problems with the
inappropriate use of inexpensive
devices, so we believe that existing
considerations, such as hospital and
physician reputation, clinical standards,
and incentives to maintain high quality
outcomes, have been successful in
driving the appropriate selection of
devices. We do not believe that there are
any significant new incentives to
inappropriately use lower quality
devices as the device remains packaged
in the IPPS payment bundle. We believe
that ongoing monitoring of the quality of
devices and the selection of specific
devices for specific beneficiaries is
appropriate, but, given the success of
our over 30 year experience with IPPS,
we do not believe that additional
programs need to be defined in
regulation. However, we do expect that
the focus on shared decision making
and physician leadership, described in
the following discussions, will further
reduce any beneficiary risk.
Comment: Commenters provided their
views about the role of quality metrics
in ensuring the quality of care as a
counter to economic pressures. They
expressed concerns about the design of
the metrics, concerns that are discussed
in the quality section of this rule, but
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they also expressed concerns that the
quality metrics were not adequate
protection against the delivery of poor
quality care. Commenters were
concerned that the proposed model does
not include enough safeguards to
substantially improve the care
experience, and that reference to quality
and outcomes were inadequately
defined. Some commenters were also
concerned that measurements were
hospital-centric, with inadequate
consideration of tools that assess such
measures as patient functional status, a
component that they believed tied
closely to protections that promote
improved beneficiary care. Commenters
proposed that quality metrics should
include functional requirements, pain
management and patient experience,
patient reported outcomes and other
measures of the outcomes of the
post-acute care treatment. They also
opined that the public reporting of
quality measures would help empower
consumers to make informed decisions.
Response: We agree that there are
opportunities to better employ quality
metrics. However, we note that
obstacles exist not only in defining new
measures but in implementing
mechanisms to report and asses those
metrics without creating undue
administrative burdens or provider
technological challenges. For example,
we note that it will take time to collect
and validate data required under the
IMPACT Act but once that has occurred
it will create opportunities for
potentially better metrics. Therefore, we
thank commenters for their suggestions
and note that while we are finalizing a
set of quality metrics for this year, the
methodology by which this model is
being phased in, with gradually
increasing economic incentives, gives us
an opportunity to continue to evaluate
the use of quality metrics and modify
them through future rulemaking if better
metrics emerge.
Final Decision: After consideration of
the public comments we received, we
are finalizing the proposal to use our
existing authority to audit claims and
services, to use the QIO to assess for
quality issues, to use our authority to
investigate allegations of patient harm,
and to monitor the impact of the quality
metrics that we are finalizing.
Monitoring PAC Quality of Care. With
respect to PAC, we believed that
requiring participating hospitals to
engage patients in shared decision
making is the most important safeguard
to prevent inappropriate
recommendations of lower cost care,
and we stated in the preamble that such
a requirement can be best effected by
requiring hospitals to make this a
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condition of any sharing arrangements
with practitioners who perform these
procedures, although we did not
propose any regulations text. Additional
deterrents are created by the financial
accountability of the 90-day bundle,
which is sufficiently long that it
encourages the provision of high-quality
care to avoid the risk of complications
and readmissions, which would
typically occur within that time period.
Physician patterns of practice are also
constrained by clinical standards of
care, and we believe that the risk
associated with deviations from those
standards provides further deterrence to
compromising care.
We believe that these safeguards are
all enhanced by beneficiary knowledge
and engagement. As we discussed in the
section on beneficiary notification, we
proposed to require that participant
hospitals must, as part of discharge
planning, account for potential financial
bias by providing patients with a
complete list of all available PAC
options in the service area consistent
with medical need, including
beneficiary cost-sharing and quality
information (where available and when
applicable). We expect that the treating
surgeons or other treating practitioners,
such as physiatrists, will continue to
identify and discuss all medically
appropriate options with the beneficiary
and that hospitals will discuss the
various facilities and providers who are
available to meet the clinically
identified needs. These proposed
requirements for CJR participant
hospitals would supplement the
existing discharge planning
requirements under the hospital CoPs.
We also specifically note that neither
the CoPs nor this proposed transparency
requirement preclude hospitals from
recommending preferred providers
within the constraints created by
current law, as coordination of care and
optimization of care are important
factors for successful participation in
this model. We invited comment on this
proposal, including additional
opportunities to ensure high quality
care.
The following is a summary of the
comments received regarding provisions
to ensure quality during the delivery of
PAC services, and our accompanying
responses.
Comment: Commenters strongly
advocated for the need to encourage
shared decision making as a
methodology for ensuring that
beneficiaries are provided PAC options
of the highest quality. The comments
consistently followed several themes.
Numerous commenters were concerned
about the role of the physician/surgeon
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in the CJR. Some commenters were
concerned that physicians are
marginalized by placing all economic
power with the hospital, and that this
will disrupt the physician-patient
relationship. These commenters were
also concerned that the model fails to
recognize the vital importance of the
physician’s role in healthcare, that the
episode is in fact generated because of
the orthopedic physician’s care for the
beneficiary months and sometimes years
prior to the LEJR surgical event. These
commenters believe that it is the
physician/surgeon who drives the care
and that this should be incorporated
into the model. Conversely, commenters
were concerned that hospitals should
not be allowed to coordinate and
manage care as that represents a conflict
of interest since they are the entity that
is financially responsible for excess
spending during the episode.
Response: We agree that the
physician/surgeon is critical to the CJR
model and that this is incorporated into
the concept of shared decision making.
As a practical matter, patients place
considerable trust in the advice of their
physicians, such that almost all medical
care is physician-directed even when it
is delivered by many coordinated
entities. This physician direction is
fundamental to the design of most
Medicare programs and models,
including the CJR model. Although the
economic effects of the CJR model are
borne by the hospital, considerable
economic power resides with the
beneficiary and the physician due to the
strength of the established doctorpatient relationship. In our proposed
rule we repeatedly emphasized the
principle of beneficiary freedom of
choice, the right to choose any care
options and for the fact that Medicare
continues to covers all medically
necessary Medicare benefits. It is the
beneficiary’s selection of specific
medically necessary options that
determines the composition of the
episode, because the episode is
composed only of services the
beneficiary consents to receive and is
not impacted by the services that the
beneficiary declines. Under the concept
of shared decision making, the
beneficiary retains that ultimate right to
accept or request desired services and
refuse services that are not desired. This
is a significant economic power.
Meanwhile, the physician is responsible
for advising the beneficiary as to
whether a particular choice is medically
necessary and, as a corollary, for
advising the patient as to the most
medically appropriate and medically
beneficial options. This also gives the
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physician considerable economic power
and places him or her in the position,
together with the beneficiary, of driving
the actual care. The hospital, although
it is the participant in the CJR model
that is directly tied to the economic
incentives, is therefore limited by the
additional economic power held by the
beneficiary, who holds the final choice
with respect to all care, and the
economic power held by the physician,
who is the primary driver of care
through his recommendations to the
beneficiary in accordance with the
special doctor-patient relationship.
These checks and balances are a major
mechanism to mitigate against any
potential hospital conflict of interest
created by the payment bundle.
Comment: Commenters proposed
numerous and diverse requirements that
they wanted us to consider imposing on
the CJR decision making process that
steers patients into specific PAC settings
and services. On the one hand there
were some requests for general guidance
of what is and is not acceptable in
discussions with the beneficiary. A
commenter stated that our current
proposal does not address the role of the
patient in the process, and does not
propose methods to empower patients
to seek out the highest quality joint care.
On the other hand there were numerous
recommendations to require certain
specific elements in the decision
making process. A commenter suggested
that we require shared care planning, a
concept that includes collaborative
provider-patient goal-setting, decision
making, and monitoring through the use
of documented, completed
individualized care plans. Another
commenter suggested the inclusion of
advance care planning, an opportunity
for thorough discussion of patients’
desires relative to care options if,
following the procedure, they are unable
to convey those desires. A commenter
recommended a requirement that
hospitals create patient family advisory
councils or other similar organizations
in order to promote the patient
perspective in discussions of episode
design and care coordination, and
suggested that this should include
family members if desired by the
patient. Commenters advised CMS to
ensure that planning is initiated with
the primary care physician or surgeon
before admission and is coordinated
with the pre-admission process
conducted by the hospital, and that
appropriate standards of care should be
a key characteristic of these processes.
Response: We recognize that the
concept of shared decision making is a
complex process, with many
permutations based on the needs of the
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patient, the availability of resources,
and the nature of the individual doctorpatient relationship for each specific
case. Therefore, we recognize the
importance of shared decision making
as previously described, but we defer
from specifying other elements that
must be included as components of the
decision making process. We believe
there are many acceptable ways to
engage the beneficiary and that, just as
different commenters offered different
techniques that they have found to be
helpful, different hospitals with their
unique characteristics will similarly
identify and implement the programs
that best serve to engage their patient
population.
Comment: Commenters proposed
modifications to the decision making
process, as well as recommending
different technical systems that they
believed should be required by
participant hospitals. Some commenters
recommended that the hospital should
document the use of evidence-based
clinical practice guidelines and
evidence-based decision aids for shared
decision making, and that hospitals
should be required to have specific
systems in place to coordinate all
providers involved in the episode of
care, track quality measures, manage
medical complications, coordinate with
community services to foster the
patient’s independence and implement
evidence-based shared decision making
with patients. However, other
commenters emphasized the need for
technical inclusiveness. A commenter
encouraged us to enable providers to
participate in these models as
collaborators without requiring major
investments in infrastructure and
electronic health records. Another
commenter proposed that patients
should not select providers but should
select physician-led teams in which a
pre-organized slate of providers would
collaborate to deliver the necessary
portfolio of care.
Response: We do not believe that preformed teams of PAC providers linked
to a single physician would be
consistent with beneficiary free choice if
beneficiaries were restricted to
providers in that specific team. Beyond
that, we note that there are many modes
of decision making and that different
modes may be preferred by different
provider groups under different
circumstances. We do not believe that a
single approach or a single technical
solution will meet the needs of the
diversity of participant hospitals and
patient and provider populations who
will be engaged in providing services
under this model. For this reason we do
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not elect to further define mandatory
approaches to decision making.
Comment: Similar to commenters’
concerns regarding additional
monitoring to ensure that providers did
not limit access to PAC services
(‘‘stinting’’), commenters also expressed
concerns that specific monitoring would
be necessary to ensure that those PAC
services provided to beneficiaries were
not subject to restrictions that adversely
impacted their quality. Some
commenters recommended that we
establish basic requirements for care
coordination and competencies that
must be met, independent of payment
and measurement. Their rationale was
that certain functions, such as discharge
planning, are so integral to care
coordination that requiring them should
be routine for entities that aspire to
coordinate care well. Specifically,
participating hospitals should be
required to have clearly documented
clinical care models, care and transition
plans including shared decision making
tools and coordination with community
supports, and protocols for
documenting discharge planning and
PAC coordination and supports.
Other recommended controls
included a requirement that any and all
documents used by the hospital during
discharge planning must be submitted
to (not approved by) CMS, a
requirement that any agreement
between hospitals and PAC providers
should be submitted to (not approved
by) CMS, and that CMS should do a
random sample audit of these
agreements to ensure they comply with
current regulations. A commenter
recommended that CMS make available
to the public the amount hospitals earn
from reconciliation payments for a
performance year, while another
recommended that we should do
random face to face interviews post
discharge to determine if the patient
was steered to a particular provider if
such interviews warranted based on
changes in utilization rates or if we
identify inappropriate or concerning
sharing arrangements between a
hospital and a PAC provider.
Other commenters wanted us to
underscore in the final rule that hospital
utilization review committees and
physicians who sign discharge orders
remain fully accountable to make the
determination that a patient discharge is
medically appropriate. A commenter
believed that part of the discharge
process should include an independent
determination that medical resources
and care required by each beneficiary
are available in an available PAC
setting.
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Response: We agree with commenters
that monitoring is essential to protect
against practices that might reduce the
quality of PAC services. We believe that
monitoring for quality is accomplished
at the population level through the
monitoring for access to the appropriate
level and quantity of PAC services, a
process that we discussed earlier with
respect to underutilization of services.
We also believe that the practice of
shared decision making, the reliance on
the medical direction of the physician,
the monitoring of quality metrics, the
complaint and oversight opportunities
through 1–800–MEDICARE and the
QIO, and the use of care coordination all
cooperate to ensure the quality of
individual services delivered to
individual beneficiaries.
With respect to comments that we
establish basic requirements for care
coordination or require specific
documentation of care coordination
procedures, we agree with commenters
that activities such as discharge
planning are integral to care
coordination. However, we note that it
is one function of state agencies and
accrediting organizations to ensure that
discharge planning is effectively
addressed, and that their applications of
the CoPs are updated as necessary to
establish appropriate standards. We
note that CMS has recently proposed
updated discharge planning
requirements for hospitals through
proposed changes to the hospital CoPs.
We do not believe that new
requirements, such as CMS receipt of
discharge planning documents or public
posting of amounts involved in
gainsharing, are necessary to ensure
appropriate post discharge care. We
note that, with the exception of waivers
discussed in section III.C.11. of this
final rule, all other Medicare rules for
coverage and payment continue to
apply. However, as discussed elsewhere
in this section of this final rule, we have
modified proposed § 510.500 to require
additional disclosure of CJR sharing
arrangements with PAC providers to
CMS. Therefore, we believe that
sufficient controls are in place to allow
us to ensure the quality of the PAC
services without requiring additional
public disclosure or CMS approval.
We also note that whereas both
utilization review activities and
discharge planning are required by the
hospital CoPs, a review of the
appropriateness of post-discharge
services is not an activity currently
undertaken by hospitals. We agree that
the ultimate direction for the care of the
patient lies with the physician and
patient, and claims for services are
subject to appropriate validation and
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review for coverage and medical
necessity. We do not believe that at this
time it is necessary or appropriate to
require a medical necessity review of
every PAC decision under the model.
First, we note that such a requirement
would create a significant
administrative burden that would need
to be balanced against the potential
benefits. Second, we believe that the
hospital and its PAC providers must
already comply with existing federal
and state requirements to respect
beneficiary wishes and follow physician
direction. Third, we have noted the
opportunities available to the
beneficiary, such as the 1–800–
MEDICARE line, to raise quality
concerns associated with the episode of
care.
Comment: Commenters offered other
suggestions and observations on
opportunities to improve beneficiary
protections that ensure the delivery of
quality care. Several commenters
suggested that CMS should require a
‘‘second opinion’’ process whereby a
concerned consumer can seek an
independent medical opinion
concerning a PAC plan. Other
commenters opined that we should
provide appeal rights to any Medicare
beneficiary subject to the CJR model,
comparable to those appeal rights
available to Medicare Advantage
enrollees, in order to protect against
‘‘adverse care’’ decisions. Still other
commenters encouraged us to inform
beneficiaries of the hotlines available to
convey grievances on care at each level
of service during the episode, to develop
training for 1–800–MEDICARE call
center staff to identify and flag potential
care reductions or inappropriate
steering in this model, to ensure that the
State Health Insurance Assistance
Programs (SHIPs) are appropriately
trained and engaged as the final model
is implemented, and to highly publicize
outlets where consumers can provide
positive or negative feedback, such as 1–
800–MEDICARE and the contact
information for the local QIO. A
commenter proposed that we consider
establishing an independent
ombudsman program.
Response: We do not believe that a
second opinion program or special
appeal rights are necessary. First, as we
have previously discussed, there are
numerous processes in place to protect
beneficiary choice. The beneficiary
retains all rights to choose the provider/
supplier for medically necessary
covered services. The beneficiary retains
the benefits of the doctor-patient
relationship, with additional
notification of any sharing arrangement
that could create a potential conflict of
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interest. In the event that the beneficiary
is stated with a notice of non-coverage
for continuing services, such as a
continued stay in a participant hospital
or a SNF, the beneficiary has access to
the existing expedited review process.
The beneficiary may also voice concerns
or grievances, such as to the QIO or
through 1–800–MEDICARE. We also do
not agree with the need to establish a
dedicated ombudsman, given the
existence not only of the appeal process
but also of the existing office of the
Ombudsman. However, we agree that it
would be beneficial to distribute
educational materials to ensure that
beneficiaries can take advantage of the
support available at 1–800–MEDICARE,
at the SHIP, and especially at the QIO,
and we will consider developing such
materials in the future.
Final Decision: After consideration of
the public comments we received, we
are finalizing our regulations as
proposed and are not creating additional
requirements for discharge planning or
care coordination specific to the CJR
model, beyond the previously identified
requirements that hospitals must
provide a complete list of PAC
providers and that CJR collaborators
must provide notice that they are
participating in a CJR sharing
arrangement with the hospital.
5. Monitoring for Delayed Care
This model is based in part on an
incentive for hospitals to create
efficiencies in the delivery of care
within a 90-day episode following the
joint replacement surgery. Theoretically
this could create incentives for hospitals
and other CJR collaborators involved in
any CJR sharing arrangements to delay
services until after that window has
closed.
We believe that existing Medicare
safeguards are sufficient to protect
beneficiaries. First, our experience with
other bundled payments such as the
BPCI initiative has shown that providers
focus on appropriate care first and
efficiencies only when those efficiencies
can be obtained in the setting of
appropriate care. We believe that a 90day post-discharge episode will
sufficiently minimize the risk that
services furnished in relation to the
beneficiary’s LEJR procedure will be
necessary beyond the end of the episode
duration. To ensure that the length of
the episode duration sufficiently
minimizes the risk that any LEJR related
care will not exceed the time
established for the episode, we
proposed to establish a 90-day postdischarge duration. We believe that
participant hospitals would be unlikely
to postpone services beyond a 90-day
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period because the consequences of
delaying care beyond this long episode
duration would be contrary to usual
standards of care.
However, we also note that additional
monitoring would occur as a function of
the payment model. We have proposed
as part of the payment definition (see
section III.C. of the proposed rule) that
certain post-episode payments occurring
in the 30-day window subsequent to the
end of the 90-day episode would be
counted as an adjustment against
savings. We believe that the inclusion of
this payment adjustment would create
an additional deterrent to delaying care
beyond the episode duration. In
addition, the data collection and
calculations used to determine this
adjustment provide a mechanism to
check if providers are inappropriately
delaying care. Finally, we note that the
proposed quality measures create
additional safeguards as they are used to
monitor and influence hospital clinical
care at the institutional level. We
invited public comment on our
proposed requirements for notification
of beneficiaries and our proposed
methods for monitoring participants’
actions and ensuring compliance as well
as- on other methods to ensure that
beneficiaries receive high quality,
clinically appropriate care.
The following is a summary of the
comments received and our responses.
Comment: Commenters provided
numerous suggestions and observations
on the processes by which we will
monitor the model in order to ensure
that the beneficiary is fully protected
against unintended consequences.
Commenters were in agreement with
our intent to monitor for unexpected
changes in the delivery of care, but
several commenters believed that
additional explanation would be
helpful. A commenter believes that it
was not clear what would constitute an
inappropriate change in delivered
services, particularly in light of the fact
that the intent of this model is to
promote change. Other commenters
believe that, just as more definition was
needed around the concept of
inappropriate change, more definition
was needed to define the contractors
who would audit for those changes. A
commenter requested that CMS build
into the CJR model checks and balances
to assess the CJR patient’s care
throughout the duration of the episode
and extending for four months beyond
the end of the episode. Another
commenter suggested that a similarly
structured auditing system should be
established to monitor CJR participants’
care management processes and
compliance with the patient-centered
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care planning expected in the model,
with audits conducted by an outside
party in the early stages of the new
model and periodically thereafter.
Response: We understand that
commenters would like additional
definition surrounding inappropriate
changes. We consider changes in
patterns of care to be inappropriate
when they do not improve the quality
and efficiency of care delivered to
Medicare beneficiaries, or when they
occur in violation of statute, regulation,
or guidance. This would include, for
example, practices that prevent
potentially higher-cost patients from
receiving services, reduce the delivery
of medically necessary services, limit
beneficiary choices between equally
valued options, increase or fail to
reduce waste, or maximize
reimbursement at the expense of the
beneficiary. However we do not believe
that specific examples must be
identified in regulation. Rather we
believe that the regulation should define
the general principles under which the
beneficiary must be protected and the
authorities under which monitoring will
take place, and we have so defined these
principles in § 510.410. For example, we
stated that action that threatens the
health or safety of patients and actions
to avoid at risk Medicare beneficiaries
are prohibited actions, so we would
consider changes that result from
‘‘stinting’’ (threatening the health of
patients) and ‘‘patient dumping’’
(avoiding at risk beneficiaries) to
represent inappropriate change. We also
expect to interact with both providers
and our contractors over the course of
this model, to refine and clarify our
educational materials and, when
necessary, our regulations or guidance.
We note that although we defined the
types of inappropriate changes in
§ 510.410, we do not believe that it is
necessary to define through regulation
the specific contractors who will be
responsible for monitoring this aspect of
the program. We have numerous
contractors who have the authority and
scope to perform this work, and we will
use our usual contracting authorities to
assign any necessary tasks during the
life of the model. We also note that we
previously discussed that we did not
believe that additional auditing of
providers’ discharge planning and care
coordination activities was necessary.
Given that we do not believe that
special audits are necessary to ensure
the quality of PAC services to a specific
beneficiary, we similarly do not believe
that audits of care coordination are
necessary to monitor the quality of care
delivered to the population as a whole.
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We believe that the financial incentives
of the model promote increased care
coordination, a process that will
increase the timeliness of interventions
and reduce opportunities for delays in
care.
Comment: Commenters had specific
comments about the extent of postepisode monitoring and about
monitoring in general, which is
necessary to track for the occurrence of
instances of delays in the delivery of
care.
Commenters suggested that postepisode monitoring should be extended
for at least 3 to 6 months after the end
of the bundle period or even 5 or more
years in order to include the late effects
of suboptimal implant selection. As part
of PAC monitoring, commenters
acknowledged that CMS proposed to
look at changes in referral patterns as a
result of the model, but also believed
that we should evaluate the impact that
the model may have on the availability
of services in a market.
With respect to monitoring in general,
commenters requested that we should
be more transparent about monitoring.
Specific recommendations were that we
should track readmission rates,
complication rates, ER visits,
observation stays, length-of-stay,
changes in patient function, and patient
experience, gap between discharge and
first PAC use and between discharge
and physician follow-up visit, days
lapsed between discharge from the
hospital to the first PAC use, and days
lapsed between hospital discharge and
the first physician visit. Some providers
also requested that we should
incorporate information from/related to
reporting requirements of the IMPACT
Act into functional monitoring.
Commenters also believed that we
should perform some baseline
monitoring, looking at case mix before
and after CJR implementation as well as
the rates of joint replacement in MSAs
included in the CJR model and MSAs
excluded from the model.
Response: We acknowledge the
validity of these recommendations and
thank commenters for their suggestions.
With respect to prolonged monitoring
for long-term consequences related to
device selection, we agree that
monitoring of this sort is of interest in
optimizing long-term outcomes.
However, we note that devices have
long been included in IPPS inpatient
bundles. Thus any risks associated with
low cost device selection are not
specific to the CJR. We also do not
believe that the policy changes
necessary to respond to any findings
based on sub-optimal device selection
would be limited to this model.
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Furthermore, we note that we would not
expect on a clinical basis for any effects
of low-cost low-quality devices to
become apparent for many years.
Therefore monitoring for this impact
would require (1) additional years that
are at least equally as long as the model
duration itself in order to detect quality
and cost effects; and (2) similar analysis
of the impact of devices provided under
IPPS but outside the model. This further
underscores the difficulty of including
this analysis as a component of the
model and suggests that, if such a study
is undertaken, it should be a separate
study of the impact of device selection
both within and outside of the CJR
model. On the other hand, we believe
that the other measures suggested are all
reasonable metrics by which program
effects can be monitored. We will
consider whether we should incorporate
some of all of these approaches in our
arrangements with our monitoring and
evaluation contractors.
Comment: Some commenters
questioned the manner in which
existing or potential medical review and
audit programs would interact with the
CJR, given that such programs are
necessary to ensure access and quality
in all services but are particularly
important and potentially burdensome
when used to monitor both the entire
episode of care as well as the postepisode period in which delayed care
would appear. Commenters believe that
CMS should implement those
evaluation processes that are least
disruptive to participants. Several
commenters opined that any cases
reimbursed under a ‘‘shared
accountability payment’’ methodology
such as CJR should not be subjected to
claim denials as part of Medicare
contractors’ medical review activities.
Other commenters requested that we
explain the relative roles of RACs, QIOs,
and other review contractors.
Other commenters believe that special
controls and audits should be
implemented to further protect
beneficiaries. A commenter believes that
CMS should require providers to submit
annual reports that detail original care
redesign objectives they agreed to
implement, the progress they made in
achieving those objectives and how
achieving those objectives has been
linked to gainsharing rewards. Another
believed that we should institute a
structured monitoring program to
ensure compliance with the patient
notice requirements, using a contractor
such as a state survey agency, a QIO, or
a hospital private accrediting body.
Recommended elements of monitoring
and control included the submission of
any model notice in advance of its use,
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certification of assurances of
compliance by the hospital/physician
auditing of compliance within the first
30 to 60 days of implementation of CJR
and annual auditing of compliance
thereafter.
CJR
Response: With respect to existing
auditing programs, we agree that it is
important to minimize the disruption of
provider activity and to minimize the
cost and burden of audits to the extent
possible. We do not agree that services
furnished to beneficiaries included in
the CJR model should be excluded from
MAC, RAC, ZPIC or other medical
review or audit activity because CJR
does not contain a substitute for these
existing program integrity measures.
Considerable financial risk is still
retained by Medicare in that the direct
payments to the hospital and PAC
providers are still borne by Medicare.
For example, if the participant hospital
provided joint replacements on
relatively healthy beneficiaries for
whom the replacements were
considered to be not medically
necessary in accordance with a coverage
decision or clinical guidelines, that
overpayment could not be identified
and corrected except through audit.
Conversely, those lower cost procedures
would reduce average cost and increase
a participant hospital’s reconciliation
payment, benefitting the hospital while
increasing costs borne by Medicare.
Moreover, under the model the
beneficiary remains responsible for the
deductible for the hospital admission
covered under Part A as well as
copayments for many PAC services. We
believe that ensuring that beneficiaries
pay the correct deductibles and
copayments is a function that is
consistent with commenters’ concerns
for beneficiary protection as well as our
obligation to enforce the statutory
provisions that define Medicare benefits
and beneficiary and provider obligations
pursuant to those benefits.
We agree that contractors conducting
audits or medical review to assess for
delays in care or for other purposes may
find and deny claims that were
incorrectly billed. We also agree that
there is a complex interaction between
the denial of a service on a claim and
its impact on the reconciliation process
for the performance year under the CJR
model, depending on the provider
whose claim is denied, the timing of the
adjustment relative to the model
reconciliation, the limits of upside and
downside risk, and other factors. For
example, if a PAC claim is denied after
final reconciliation, the hospital will
still have incurred a cost approximately
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equal to the amount that was denied to
the PAC provider because those costs
would still be included in the
calculation of the positive or negative
NPRA as calculated in accordance with
§ 510.305. On the other hand, if the
denial occurs prior to reconciliation, the
hospital will have lower costs attributed
to it as the cost of the service would be
removed from the claims history. This
will affect the NPRA as if the denied
service had never been delivered and
benefit the hospital by an amount that
is approximately equal to the amount
that was denied to the PAC provider.
Given this complex interaction that can
create diverse and opposing impacts but
only in the setting of inappropriate
(denied) claims, we do not believe that
it is necessary or desirable to exclude
services from medical review because
they are delivered under the CJR model.
G. Coordination With Other Agencies
Impacts created by payment changes
under this model are entirely internal to
HHS operations; coordination with
other agencies is not required outside of
the usual coordination involved in the
publication of all HHS regulatory
changes.
IV. Evaluation Approach
A. Background
The CJR model is intended to enable
CMS to better understand the effects of
bundled payments models on a broader
range of Medicare providers than what
is currently being tested under BPCI.
Obtaining information that is
representative of a wide and diverse
group of hospitals will best inform us on
how such a payment model might
function were it to be more fully
integrated within the Medicare program.
All CMS models, which would include
the CJR model, are rigorously evaluated
on their ability to improve quality and
reduce costs. In addition, we routinely
monitor CMS models for potential
unintended consequences of the model
that run counter to the stated objective
of lowering costs without adversely
affecting quality of care. We outlined
the proposed design and evaluation
methods, data collection methods, key
evaluation research questions, and the
evaluation period and anticipated
reports for the CJR model in the 2016
Comprehensive Care for Joint
Replacement proposed rule (80 FR
4198).
B. Design and Evaluation Methods
Our evaluation approach for the CJR
model will have elements in common
with the standard Innovation Center
evaluation approaches we have taken in
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other projects such as the BPCI
initiative, ACE Demonstration, Pioneer
ACO model, and other Innovation
Center models. Specifically, the
evaluation design and methodology for
the CJR model would be designed to
compare patterns of care among the CJR
providers to patterns of care among nonCJR providers, potentially contrasted
with historical differences in care
between these two groups of providers.
Our evaluation methodology for this
model builds upon the fact that MSAs
were selected for participation in the
model based on a stratified random
assignment. In this approach,
researchers evaluate the effects of the
model on outcomes of interest by
directly comparing MSAs that are
randomly selected to participate in the
model to a comparison group of MSAs
that were not randomly selected for the
model (but could have been).
Randomized evaluation designs of this
kind are widely considered the ‘‘gold
standard’’ for social science and medical
research because they ensure that the
systematic differences are reduced
between units that do and do not
experience an intervention, which
ensures that (on average) differences in
outcomes between participating and
non-participating units reflect the effect
of the intervention.
The removal of the 8 MSAs that were
previously selected but are now
considered not eligible due the revision
to the MSA exclusion rules does not
compromise our proposed evaluation
approach. The relative ranking of MSAs
with respect to episode payments is
unchanged by the new exclusions. The
selected MSAs remain randomly
selected and also remain distributed
throughout the payment and population
size dimensions. As with other
evaluation issues, the methodological
approach to examining and drawing
conclusions about the impact of the
model will be finalized in the
Evaluation Contract.
We plan to use a range of analytic
methods, including regression and other
multivariate methods appropriate to the
analysis of stratified randomized
experiments to examine each of our
measures of interest. Measures of
interest could include, for example,
quality of and access to care, utilization
patterns, expenditures, and beneficiary
experience. The evaluation would also
include rigorous qualitative analyses in
order to capture the evolving nature of
the care model interventions.
In our design, we plan to take into
account the impact of the CJR model at
the geographic unit level, the hospital
level, and the patient level. We are also
considering various statistical methods
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to address factors that could confound
or bias our results. For example, we
anticipate using statistical techniques to
account for clustering of patients within
hospitals and markets. Clustering allows
our evaluation to compensate for
commonalities in beneficiary outcomes
by hospitals and by markets.
Accounting for clustering ensures that
we do not overstate our effective sample
size by failing to account for the fact
that performance of hospitals in a given
market may not be fully independent of
one another. Alternatively, accounting
for clustering may improve statistical
precision or allow us to better examine
how patterns of performance vary across
hospitals. For example, in cases where
a large hospital consistently has poor
performance, clustering would allow us
to still be able to detect improved
performance in the other, smaller
hospitals in a market rather than place
too much weight on the results of one
hospital and potentially lead to
mistaken inferences. Finally, we plan to
use various statistical techniques to
examine the effects of the CJR model
while also taking into account the
effects of other ongoing interventions
such as BPCI, Pioneer ACOs, and
Medicare Shared Savings Program. For
example, we will consider additional
regression techniques to help identify
and evaluate the incremental effects of
adding the CJR model in areas where
patients and market areas are already
subject to these other interventions as
well as potential interactions among
these efforts.
C. Data Collection Methods
We are considering multiple sources
of data to evaluate the effects of the CJR
model. We expect to base much of our
analysis on secondary data sources such
as Medicare FFS claims and required
patient assessment instruments such as
the Minimum Data Set (MDS) collected
for SNF stays, the Patient Assessment
Instrument for Inpatient Rehabilitation
Facility (IRF–PAI) collected for IRF
stays, and the Outcome and Assessment
Information Set (OASIS) collected for
home health episodes of care. The
beneficiary claims data would provide
information such as expenditures in
total and by type of provider and service
as well as whether or not there was an
inpatient hospital readmission. The
assessment tools would provide
information on a beneficiary’s
functioning (for example, physical,
psychological and psychosocial
functioning).
In conjunction with the previously
stated secondary data sources, we are
considering a CMS-administered survey
of beneficiaries who received an LEJR
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during the performance period. This
survey would be administered to
beneficiaries who either had received an
LEJR under the CJR model or were
selected as part of a control group. The
primary focus of this survey would be
to obtain information on the
beneficiary’s perception of their
functional status before and after the
LEJR as well as information on their
pain and LE joint symptoms, and
perceptions on access to care. The
administration of this beneficiary survey
would be coordinated with
administration of the HCAHPS Survey
so as to not conflict with or compromise
the HCAHPS efforts. Likewise, we are
considering a survey administered by
CMS and guided interviews conducted
by CMS with providers and suppliers
including, but not limited to, orthopedic
surgeons, initiating hospitals, and PAC
providers participating furnishing
services to beneficiaries included in the
CJR model. These surveys would
provide insight on beneficiaries’
experience under the model and
additional information on the care
redesign strategies undertaken by health
care providers.
In addition, we are considering CMS
evaluation contractor-administered site
visits with selected hospitals and PAC
providers as well as focus groups with
a range of populations such as PAC
providers and orthopedic surgeons. We
believe that these qualitative methods
would provide contextual information
that would help us better understand
the dynamics and interactions occurring
among CJR providers furnishing services
included within a CJR episode. For
example, these data could help us better
understand hospitals’ intervention plans
as well as how they were implemented
and what they achieved. Moreover, in
contrast to relying on quantitative
methods alone, qualitative approaches
would enable us to view model nuances
as well as identify factors that are
associated with successful interventions
and distinguish the effects of multiple
interventions that may be occurring
within participating providers, such as
simultaneous ACO and bundled
payment participation.
D. Key Evaluation Research Questions
Our evaluation would assess the
impact of the CJR model on the aims of
improved care quality and efficiency as
well as reduced health care costs. This
would include assessments of patient
experience of care, utilization,
outcomes, Medicare expenditures,
provider costs, quality, and access. Our
key evaluation questions would include,
but are not limited to, the following:
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73529
• Payment. Is there a reduction in
total Medicare expenditures in absolute
terms or for subcategories of providers
(for example, acute versus PAC
providers, providers in certain
geographic areas, providers within
concentrated vs non-concentrated
market areas or in urban vs rural areas)?
Do the participants reduce or eliminate
variations in utilization and
expenditures or both that are not
attributable to differences in health
status? If so, how have they
accomplished these changes?
• Utilization. Are there changes in
Medicare utilization patterns overall or
for specific types of providers or
services? How do these patterns
compare to historic patterns, regional
variations, and national patterns of care?
How are these patterns of changing
utilization associated with Medicare
payments, patient outcomes and general
clinical judgment of appropriate care?
• Outcomes/Quality. Is there either a
negative or positive impact on quality of
care and patient experiences of care or
both? Did the incidence of
complications remain constant or
decrease? Was there a change in
beneficiaries’ level of pain reduction,
functional outcomes or return to
independence under the model than
relative to appropriate comparison
groups? If so, how and for which
beneficiaries?
• Referral Patterns and Market
Impact. How, if at all, has the behavior
in the selected geographic areas changed
under the model? How have the referral
patterns changed and for which type(s)
of providers? Similarly, does the model
have an impact on the number of
patients with LEJR procedures and what
types of patients are undergoing the
procedure? To what extent, if any, is
this related to gainsharing activities?
• Unintended Consequences. Did the
CJR model result in any unintended
consequences, including adverse
selection of patients, access problems,
cost shifting beyond the agreed upon
episode, evidence of stinting on
appropriate care, anti-competitive
effects on local health care markets,
evidence of inappropriate referrals
practices? If so, how, to what extent,
and for which beneficiaries or
providers?
• Potential for Extrapolation of
Results. What was the typical patient
case mix in the participating practices
and how did this compare to regional
and national patient populations? What
were the characteristics of participating
practices and to what extent were they
representative of practices treating
Medicare FFS beneficiaries? Was the
model more successful in certain types
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of markets? To what extent would the
results be able to be extrapolated to
similar markets and nationally or both?
• Explanations for Variations in
Impact. What factors are associated with
the patterns of results? Specifically, are
the results related to the following?
++ Characteristics of the models
including variations by year and factors
such as presence of downside risk?
++ The participating hospital’s
specific features and ability to carry out
their proposed intervention?
++ Characteristics and nature of
interaction with partner providers and
suppliers including orthopedic surgeons
and PAC provider community?
++ Characteristics of the geographic
area, such as market concentration or
size of city and availability of PAC
providers?
++ Characteristics associated with the
patient populations served?
E. Evaluation Period and Anticipated
Reports
As discussed in section III.C.2.a. of
this final rule, each of the selected
participants in the CJR model would
have 5 performance years. The
evaluation period would encompass all
5 performance years and up to 2 years
after. We plan to evaluate the CJR model
on an annual basis. However, we
recognize that interim results are subject
to issues such as sample size and
random fluctuations in practice
patterns. Hence, while we intend to
have internal periodic summaries to
offer useful insight during the course of
the effort, a final analysis after the end
of the 5 performance years will be
important for ultimately synthesizing
and validating results.
We sought comments on our design,
evaluation, data collection methods, and
research questions.
The following is a summary of the
comments received and our responses.
Comment: A variety of commenters
detailed evaluation topics in which they
were particularly interested as follows:
• In the category of ‘‘utilization,’’ the
following topics were highlighted as of
interest to commenters: (1) An
examination of utilization shifts
between sites of care as well as an
examination of the types of patients for
which this occurs and if there was an
impact on quality, health outcomes, and
total spending; and (2) an examination
of changes in types of devices being
used in total joint replacement
procedures compared to historical
trends and other markets.
• In the category of ‘‘outcomes and
quality,’’ the following topics were
highlighted: an examination of the
impact of the model on certain
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vulnerable subpopulations, including
low-income individuals, individuals
residing in low-access areas, and racial
and ethnic minorities.
• In the category of ‘‘market impact,’’
the following topics were highlighted:
an assessment of whether hospitals
redesign or eliminate service lines; an
assessment on the impact of the
availability of services in a market; an
assessment of the impact, if any, on the
financial viability of PAC providers in
impacted markets; the shifting of
increased costs to other payers; and an
exploration of the use of the gainsharing
waiver, including the criteria hospitals
use to identify preferred partner
relationships and an examination of to
whom gains are distributed.
• In the area of ‘‘patient access,’’ the
following topics were mentioned: an
examination of the extent to which
beneficiary choice is preserved and
whether or not hospitals steer patients
towards certain providers; an
assessment on the impact of the model
on patient access to services including
patient travel time; an assessment of the
extent to which use of lower cost
alternatives or lack of other
enhancements to the patient experience
led to changes in patient outcomes and
satisfaction; and an evaluation of device
offerings and patient access to various
technologies for joint replacement.
• Within the category of exploring
which factors are associated with
‘‘variations’’ in success, the following
topics were mentioned: examining
whether higher risk candidates for
surgery are avoided or lower risk
patients are inappropriately targeted for
inclusion; an assessment of the impact
of simultaneous incentives and
participation in other models and
programs that may impact the same
patients or providers; an assessment of
the variation in implementation by
hospitals and the extent to which
hospitals make a financial commitment
to prepare staff and to undertake other
activities to improve coordination; and
an assessment of the use and impact of
telehealth services and related efforts.
Response: The commenters’ list of
topics are in alignment with our stated
areas of interest and will be considered
in the development of the final
evaluation plan in coordination with the
contractor chosen to develop and carry
out the model evaluation.
Comment: A variety of commenters,
including MedPAC, presented measures
and metrics that they believed would be
important to include in the evaluation.
In addition, a commenter suggested
CMS make participation in a data
registry a requirement for all
participants in the model. Other
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suggested measures include the
following:
• Readmission rates, complication
rates, use of emergency room visits and
observation stays, length of stay,
changes in patient function, and patient
experience in the assessment of the
stinting of care.
• Number of days between discharge
from the hospital to first PAC use, and
number of days between hospital
discharge and first physician visit to
assess timely care coordination.
• Comparison of utilization rates for
joint replacement procedures in markets
included and excluded to monitor any
increase.
• The development and
implementation of true longitudinal
outcome metrics.
Response: Commenters’ measurement
suggestions will be considered for
inclusion in the development of the
final evaluation plan. At this time, we
do not plan to mandate participation in
data registries for this model, given the
significant implementation and
administrative requirements this would
require of providers.
Comment: A commenter suggested a
particular methodological consideration
relevant to the evaluation. Specifically,
this commenter noted that the approach
of excluding BPCI participating
hospitals in an MSA has its own form
of selection bias in that the new model
will only include hospitals that have
chosen not to participate in the BPCI
initiative, and therefore is not
necessarily a representative sample.
Response: We recognize the
importance of this issue and agree that
the model evaluation must account for
any limitations on our ability to
extrapolate the results achieved under
this model. We will take this into
consideration during the development
of the final evaluation plan in
coordination with the Evaluation
Contractor.
Comment: While many commenters
expressed support for a vigorous
evaluation, commenters brought up
specific concerns related to the
anticipated burden associated with the
evaluation. The commenters requested
that CMS should implement an
evaluation process that is least
disruptive to participants (providers and
beneficiaries) and incorporate lessons
learned from BPCI participants into the
development process. One area of
concern was the patient survey. A
commenter noted that for the BPCI
evaluation, participants were requested
to refrain from non-patient care-related
survey efforts while the CMS BPCI
survey was in the field. The commenter
wrote that this hampered the bundlers’
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ability to seek real-time feedback to
improve care. Another commenter
recommended minimizing as much as
possible the use of site visits and noted
a desire for CMS to consider
compensating hospitals for the time
associated with this effort. In addition,
the commenter noted concern that CMS
is requiring collaborators to participate
in site visits.
Response: We acknowledge the
concern related to the administrative
burden associated with the evaluation
and will endeavor to minimize it to the
extent possible, while still ensuring a
thorough assessment of the model and
its impacts. With regard to the specific
concerns, the survey of patients is
considered to be a key component of the
evaluation intended to address the
issues of patient functional
performance, pain reduction, and
reductions in access. It is likely that we
will continue the practice of asking for
non-mandated and non-patient carerelated surveys to be suspended for brief
periods of time so as to not overburden
patients. Hospitals’ survey efforts are
otherwise unaffected. We believe that
the temporary disruption in provider
efforts is worth gaining the detailed
information on patient function, pain,
and access that the surveys provide.
With regards to site visits, we intend to
use this data collection approach
judiciously and will be mindful of the
impact on providers.
Regarding collaborator agreements,
we are requiring that participant
hospitals include provisions that require
all CJR collaborators to comply with any
evaluation, monitoring, compliance, and
enforcement activities performed by
HHS or its designees for the purposes of
operating the CJR model. We intend to
be prudent in exercising this
requirement but we believe that it is
necessary to include, particularly
related to the need to assess compliance
with model requirements and patient
quality of care. We do not anticipate
that this will be a significant barrier to
CJR collaborators signing agreements.
Final Decision: After consideration of
the public comments received, we are
finalizing the proposed approach to the
evaluation without modification.
V. Collection of Information
Requirements
As stated in section1115A(d)(3) of the
Act, Chapter 35 of title 44, United States
Code, shall not apply to the testing and
evaluation of models under section
1115A of the Act. As a result, the
information collection requirements
contained in this final rule need not be
reviewed by the Office of Management
and Budget.
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VI. Regulatory Impact Analysis
We have examined the impact of this
rule as required by Executive Order
12866 and other laws and Executive
Orders requiring economic analysis of
the effects of final rules.
A regulatory impact analysis (RIA)
must be prepared for major rules with
economically significant effects ($100
million or more in any 1 year). We
estimate that this rulemaking is
‘‘economically significant’’ as measured
by the $100 million threshold, and
hence also a major rule under the
Congressional Review Act. Accordingly,
we have prepared a RIA that, to the best
of our ability, presents the costs and
benefits of the rulemaking.
A. Statement of Need
This final rule is necessary in order to
implement and test a new payment and
service delivery model under the
authority of section 1115A of the Act,
which allows the Innovation Center to
test innovative payment and service
delivery models in order to reduce
program expenditures while preserving
or enhancing the quality of care
furnished to individuals. The
underlying issue addressed by the CJR
model is that under FFS, Medicare
makes separate payments to providers
and suppliers for items and services
furnished to a beneficiary over the
course of a treatment (an episode of
care). Because the amount of payment is
dependent on the volume of services
delivered, this creates incentives for
care that is fragmented, unnecessary or
duplicative, while impeding the
investment in quality improvement or
care coordination that will maximize
patient benefit. We anticipate the CJR
model may reduce costs while
maintaining or improving quality where
the provision of ‘‘bundled services’’ in
which all the services needed for a
given episode of care are included in a
single payment arrangement that
provides incentives to promote high
quality and efficient care.
This final rule will create and test the
first bundled payment model under the
Innovation Center authority in which
providers will be required to participate,
building on the experience of the
current voluntary BPCI and previous
ACE efforts. Testing the model in this
manner will also allow us to learn more
about patterns of inefficient utilization
of health care services and how to
incentivize improvement in quality for
common LEJR procedure episodes. This
learning could inform future Medicare
payment policy.
Under the CJR model, acute care
hospitals in certain selected locations
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will receive retrospective bundled
payments for episodes of care for LEJR
or reattachment of a lower extremity.
The proposed rule was developed based
on the experiences we gained from the
implementation of the Bundled
Payments and Care Improvement
Initiative and the ACE Demonstration to
test bundled payments. We believe the
model may benefit Medicare
beneficiaries through improving the
coordination and transition of care,
improving the coordination of items and
services paid for through Medicare FFS
payments, encouraging provider
investment in infrastructure and
redesigned care processes for high
quality and efficient service delivery,
and incentivizing higher value care
across the inpatient and PAC spectrum
spanning the episode of care. It will also
provide an opportunity to evaluate the
nature and extent of reductions in the
cost of treatment by providing financial
incentives for providers to coordinate
their efforts to provide services to meet
patient needs and prevent future costs.
As detailed in Table 33, we estimate
a total aggregate impact of $343 million
in net Medicare savings over the
duration of the model, CYs 2016
through 2020, from the implementation
of the CJR model. This reflects the
policies finalized in this rule, as well as
updates to the data used for the impact
analysis. We note that in the impact
estimate in the proposed rule we had
identified participant hospitals in the
proposed selected 75 MSAs, though we
inadvertently excluded some of those
hospitals in our estimates presented in
the proposed rule. For the impact
analysis provided in this final rule, we
revised our list of participant hospitals
to include hospitals in the 67 MSAs
selected for CJR and made the
identification of hospitals consistent
with how we identify hospitals in the
selected MSAs in section III.A.3. of this
final rule.
We note that we are posting the list
of the participant hospitals in the
selected MSAs on the CJR final rule
Web site at https://innovation.cms.gov/
initiatives/CJR/ which generally reflects
the hospitals used to estimate the
impacts presented in this rule.
Additionally, we note that this list will
be updated throughout the model, to
account for circumstances such as
hospital mergers, BPCI termination, and
new hospitals in the selected MSAs.
We note that we are finalizing the
start date of this model to begin April
1, 2016 where the first performance year
is 9 months and all other performance
years begin January 1 and last 12
months. The estimates presented in this
final rule reflect the changed start date
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and the 9 month period for the first year
of the model. These estimated impacts
represent the estimated net effect of
federal transfers under this model.
Furthermore, the CJR model may benefit
beneficiaries since the model requires
participant hospitals to be accountable
for 90-day episodes of care for Medicare
beneficiaries with a LEJR, which may
incentivize providers to improve the
coordination of FFS items and services,
and encourage investment in
infrastructure and redesigned care
processes for high quality and efficient
service delivery.
Our analysis of the model’s effects
shows that this final rule will trigger the
threshold of ‘‘an annual effect on the
economy of $100 million or more’’
under E.O. 12866. Accordingly it will
also be a major rule under the
Congressional Review Act, and we are
required to prepare an analysis that
presents the costs and benefits of this
final rule. We have prepared an analysis
that address benefits and costs that
applies to ‘‘economically significant’’ or
‘‘major’’ rules. We solicited comment on
the assumptions and analysis presented
throughout this regulatory impact
section.
The following is a summary of the
comments received and our responses.
Comment: A commenter found our
savings estimates to be overly optimistic
where our assumptions were based on
other models launched by CMMI. The
commenter found that because those
models were voluntary and participants
would withdraw from those models at
any time based on their performance
under the model that we could not
apply those assumptions for this model
where we have selected participants and
those participants are not able to
withdraw from this model. As a result,
the commenter found our savings
estimates to be overly optimistic and
aggressive. Another commenter found
the savings estimate to be surprisingly
small given the scope of the proposed
model affecting providers in 75 MSAs.
The commenter requested additional
information regarding how much
savings has been estimated for reduced
complications and for reduced use of
SNF, IRF, imaging studies, and other
specific components.
Response: We acknowledge that many
of our assumptions used for these
estimates are based on our experience
with other voluntary bundled payment
models and demonstrations as that is
the most recent information that we
have regarding how we expect hospitals
to perform under a bundled payment
model. For this model, we have not
assumed any changes in utilization,
which is, in part, informed by on our
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experience in other bundled payment
models. However, we expect significant
variation among hospitals and among
metropolitan areas, but we are unable to
predict these. Additionally, we believe
the CJR model has been designed to
provide additional safeguards
considering that we have selected the
hospitals to participate in the model.
Those safeguards for hospitals to be able
to manage risk include a transition to
regional pricing, delaying the start date
from January 1, 2016 to April 1, 2016
and providing for more incremental
stop-loss limits where hospitals are
subject to a maximum 20 percent stoploss limit for performance years 4 and
5. As described earlier, for this final
rule, we are updating the data used for
the impact analysis to participant
hospitals in the now 67 MSAs for the
final rule and we are including
participant hospitals identified in the
proposed rule but that had been
inadvertently excluded from the
estimates presented in the proposed
rule. As a result, the estimates have
changed for this final rule, not only to
reflect the policy changes finalized in
this rule, but also to reflect the
additional hospitals included in the
estimates. As previously noted, we are
posting the list of the participant
hospitals in the selected MSAs on the
CJR model Web site at https://
innovation.cms.gov/initiatives/CJR/.
economy, productivity, competition,
jobs, the environment, public health or
safety, or state, local or tribal
governments or communities (also
referred to as ‘‘economically
significant’’); (2) creating a serious
inconsistency or otherwise interfering
with an action taken or planned by
another agency; (3) materially altering
the budgetary impacts of entitlement
grants, user fees, or loan programs or the
rights and obligations of recipients
thereof; or (4) raising novel legal or
policy issues arising out of legal
mandates, the President’s priorities, or
the principles set forth in the Executive
Order. As previously stated, this final
rule triggers these criteria.
Executive Order 13132 establishes
certain requirements that an agency
must meet when it publishes a proposed
rule (and subsequent final rule) that
imposes substantial direct requirement
costs on state and local governments,
pre-empts state law, or otherwise has
federalism implications. We do not
believe that there is anything in this
final rule that either explicitly or
implicitly pre-empts any state law, and
furthermore we do not believe that this
final rule will have a substantial direct
effect on state or local governments,
preempt states law, or otherwise have a
federalism implication.
B. Overall Impact
We have examined the impacts of this
final rule as required by Executive
Order 12866 on Regulatory Planning
and Review (September 30, 1993),
Executive Order 13563 on Improving
Regulation and Regulatory Review
(January 18, 2011), the Regulatory
Flexibility Act (RFA) (September 19,
1980, Pub. L. 96–354), section 1102(b) of
the Social Security Act, section 202 of
the Unfunded Mandates Reform Act of
1995 (March 22, 1995; Pub. L. 104–4),
Executive Order 13132 on Federalism
(August 4, 1999) and the Congressional
Review Act (5 U.S.C. 804(2)).
Executive Orders 12866 and 13563
direct agencies to assess all costs and
benefits of available regulatory
alternatives and, if regulation is
necessary, to select regulatory
approaches that maximize net benefits
(including potential economic,
environmental, public health and safety
effects, distributive impacts, and
equity). Section 3(f) of Executive Order
12866 defines a ‘‘significant regulatory
action’’ as an action that is likely to
result in a rule: (1) Having an annual
effect on the economy of $100 million
or more in any 1 year, or adversely and
materially affecting a sector of the
1. Overall Magnitude of the Model and
Its Effects on the Market
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C. Anticipated Effects
According to Medicare FFS claims
data in 2014, there were approximately
478,000 discharges for MS–DRGs 469
and 470 nationally. Based on the same
data for 2014, we estimate that the
participant hospitals had approximately
86,000 LEJR episodes (as defined in this
model). The number of such procedures
has grown in recent years, due both to
the aging of the American population
and to advances in medical technology
and care that have made these
operations less physically burdensome
on patients and led to faster recovery
times.
More uncertain are the total costs of
these procedures. The mean estimated
90-day episode payment for LEJR
procedures (defined as discharges for
MS–DRG 469 and MS–DRG 470) is
about $26,000 based on Medicare claims
data for FY 2014 where approximately
55 percent of the spending is attributed
to hospital inpatient services, 25 percent
of spending is attributed to PAC services
such as physical therapy (either
ambulatory and in a facility) and 20
percent to physician, outpatient hospital
and other spending.
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We are testing the model in 67 MSAs
out of the 196 MSAs initially deemed
eligible for selection, as described
previously in this final rule. We note
that this is a change from the proposed
rule where we had selected a proposed
75 MSAs but in this final rule, we are
removing 8 MSAs from selection
because they did not meet the updated
eligibility criteria. Based on the
selection methodology finalized in this
rule, we estimate that the model will
include about 23 percent of all LEJR
episodes nationally. We estimate the
model will apply to about $1.247 billion
in episode spending in 2016 and $2.980
billion in episode spending in 2020 as
displayed in Table 33 later in this
section. As discussed subsequently in
this analysis, this is likely to generate
approximately a net amount of $343
million in savings to Medicare over the
entire duration of the model. Annual
reconciliation payments for each
performance year may be greater than or
less than the net change as detailed in
Table 33 later in this section. In years
2019 and 2020 of the CJR model, we
estimate a net change that is greater than
the $100 million dollar threshold for
economic significance.
There may also be spillover effects in
the non-Medicare market, or even in the
Medicare market in other areas as a
result of this model. Recent research
suggests that permanent changes in
Medicare payment policy often have
substantial effects on non-Medicare
payers.106 Because it is unclear whether
and how this evidence applies to a test
of a new payment model (as opposed to
a change in permanent policy), our
analyses assume that spillovers effects
on non-Medicare payers will not occur,
although this assumption is subject to
considerable uncertainty. We welcomed
comments on our assumptions and
calculations.
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2. Effects on the Medicare Program
The CJR model is a model involving
an innovative mix of financial
incentives for quality of care and
efficiency gains within FFS Medicare
for LEJR episodes. This model
represents a new approach for the
Medicare FFS program because it
applies bundled payments to hospitals
that might not otherwise participate in
Innovation Center models or Medicare
demonstrations and tests bundled
payment models for episodes of care for
LEJR procedures in multiple geographic
areas. As such, we are interested in
106 See, for example, Jeffrey Clemens and Joshua
D. Gottlieb. Forthcoming. ‘‘In the Shadow of a
Giant: Medicare’sMedicare’s Influence on Private
Physician Payments.’’ Journal of Political Economy.
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testing and evaluating the impact of a
bundled payment approach for LEJR
procedures in a variety of
circumstances, especially among those
providers that may not have decided to
engage in programs or models in which
Medicare makes payments differently
than Medicare FFS.
As described earlier in this final rule
in section III.B. of this final rule,
episodes will begin with admission to
an acute care hospital for an LEJR
procedure that is paid under the IPPS
through MS–DRG 469 or 470 and extend
90 days following discharge from the
acute care hospital. The episode will
include the LEJR procedure, inpatient
stay, and all related care covered under
Medicare Parts A and B within the 90
days after discharge, including hospital
care, PAC, and physician services.
Furthermore, we have designated
participant hospitals as the episode
initiators and to be financially
responsible for episode cost under the
CJR model. We will require all hospitals
paid under the IPPS and physically
located in selected geographic areas to
participate in the CJR model, with
limited exceptions. Eligible
beneficiaries who receive care at these
hospitals will automatically be included
in the model. Geographic areas, based
on MSAs, were selected for the model
through a stratified random sampling
methodology based on the following
criteria: historical episode wageadjusted payment quartiles and
population size halves. We anticipate
the CJR model may have financial and
quality of care effects on non-hospital
providers and suppliers that are
involved in the care of Medicare
beneficiaries with an LEJR episode,
improving the coordination of items and
services paid for through Medicare FFS,
encouraging more provider investment
in infrastructure and redesigned care
processes for higher quality and more
efficient service delivery, and
incentivizing higher value care across
the inpatient and PAC spectrum
spanning the episode of care. However,
the CJR model attributes episode
spending and makes the retrospective
reconciliation payment to or repayment
from the participant hospital.
Accordingly, our analysis examines the
effects on participant hospitals, as they
are the providers accountable for the
episode payment under this model.
Additionally, we will test the CJR model
for a performance period beginning
April 1, 2016 and ending December 31,
2020 and our estimates cover the
duration of the model. We note that in
this final rule, we are changing the start
date of the model such that the first year
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73533
of the model will begin April 1, 2016
and have a performance period of 9
months. All other performance years of
the model will begin January 1 and have
a performance period of 12 months.
As described earlier in this final rule,
we will continue paying hospitals and
other providers and suppliers according
to the usual Medicare FFS payment
systems during all performance years.
After the completion of a performance
year, the Medicare claims payments for
services furnished to the beneficiary
during the episode, based on claims
data, will be combined to calculate an
actual episode payment. The actual
episode payment is the sum of Medicare
Part A and B claims payments for all
related items and services furnished to
a beneficiary during a CJR episode. The
actual episode payment will then be
reconciled against an established CJR
target price, with consideration of
additional payment adjustments based
on quality performance and post
episode spending. The amount of this
calculation, if positive, will be paid to
the participant hospital if the hospital
has met the quality thresholds finalized
in this rule. This payment is the
reconciliation payment. If negative, the
participant hospital will be required to
make repayment to Medicare. We are
phasing in the requirement that
hospitals whose actual episode
payments exceed their CJR target price
to pay the difference back to Medicare
beginning in performance year 2. Under
this requirement, Medicare will not
require repayment from hospitals for
CJR episode spending above their target
price in performance year 1. Lastly, we
finalized to limit how much a hospital
can gain or lose based on its
reconciliation calculation with
additional policies to further limit the
risk of high payment cases for all
participant hospitals and for special
categories of hospitals.
Based on the mix of financial and
quality incentives, the CJR model could
result in a range of possible outcomes
for participant hospitals. The effects on
hospitals of potential savings and
liabilities will have varying degrees.
Table 33 summarizes the estimated
impact for the CJR model. Our model
estimates that the Medicare program
will save $343 million dollars over the
5 performance years (2016 through
2020). Savings to the Medicare program
may be greater if providers are able to
improve the coordination of care, invest
in infrastructure, and redesign care
processes to promote high quality and
efficient service delivery. Costs to the
Medicare program may increase if
providers are able to use waivers
provided under the model to increase
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episode volume among beneficiaries
that are expected to be less costly than
the hospitals target price without the
need for improving the coordination of
care, or if there are declines in
utilization independent of the model
that are not incorporated in the
prospective target prices. Our analysis
to the best of our ability presents the
cost and transfer payment effects of this
final rule. We solicited comment on the
assumptions and analysis presented.
a. Assumptions and Uncertainties
We used final action Medicare claims
data from January 1, 2012 through
March 31, 2015 as of October 2015 to
simulate the impact that this model will
have on Medicare spending for joint
replacement episodes. This time period
is consistent with the historical period
that we are finalizing to use to calculate
target prices for performance years 1
and 2 of the model as described in
section III.C of this final rule (we note
that for performance years 3 and 4,
target prices will be calculated based on
episodes that start between the period of
January 1, 2014 to December 31, 2016.
And for performance year 5, target
prices will be calculated based on
episodes that begin between the period
of January 1, 2016 to December 31,
2018.) We applied the methodology
provided in this final rule for
calculating target prices for all hospitals
that will be required to participate in
the model, as discussed in section III.A.
of this final rule, based on their
performance from calendar years 2012
through 2014. Specifically, the estimates
in this impact analysis reflect all IPPS
hospitals in the selected MSAs and not
participating in Model 1 or Phase II of
BPCI Models 2 or 4 for the LEJR clinical
episode as of October 2015. We
identified the anchor hospitalizations
based on claims with MS–DRG 469 and
MS–DRG 470 and included the related
spending that occurred 90 days after
discharge. Also as finalized in this rule,
we are risk stratifying for episodes with
hip fractures for MS–DRG 469 and MS–
DRG 470. For the purpose of the risk
stratification, we identified anchor
hospitalizations for MS–DRG 469 and
MS–DRG 470 with hip fractures based
on ICD–9–CM diagnosis codes reported
on the anchor inpatient hospitalization
claim. We removed payments excluded
from the episode as not being associated
with joint replacement care, as well as
removing the IPPS add-on payments
including disproportionate share
hospital and indirect medical
educational payments, new technology
payments, uncompensated care
payments, hospital value based
purchasing payments, and hospital
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readmission reduction payments
associated with the anchor
hospitalization. We note that we have
other payment exclusions in the
calculation of the episode target price,
in comparing actual episode payments
with target prices, and in determining
whether a reconciliation payment
should be made to the hospital or
repayment from the hospital should be
made as described in section III.C. of
this final rule. For the purpose of this
impact analysis, we have only limited
our calculations to remove the IPPS
add-on payments reported on the IPPS
claims including disproportionate share
hospital and indirect medical
educational payments, new technology
payments, uncompensated care
payments, hospital value based
purchasing payments, and hospital
readmissions reduction payments in
calculating estimated target prices and
in comparing the target price to actual
episode payments. We then excluded
episodes where the anchor
hospitalization occurred in hospitals
that are not paid under the IPPS. As
finalized in this rule, we excluded
episodes where the patient died during
the 90 day episode. With the remaining
episodes, we standardized episode
payments to remove the variation in
spending due to differences in the
hospital’s wage index. We trended
utilization and prices in 2012 and 2013
to match 2014 national performance,
and we incorporated the outlier policy
to cap spending for high cost outlier
episodes such that payments are capped
at the MS–DRG anchor value that is two
standard deviations above the mean as
described in section III.C. of this final
rule. After we pooled episodes for MS–
DRGs 469 and 470 with and without hip
fractures, we calculated average riskstratified episode prices for each
hospital and census region, as well as a
hospital-specific weight representing a
case mix value for each hospital that is
dependent only on episode volume for
MS–DRGs 469 and 470 with and
without hip fractures, and the national
anchor factor. We then calculated
blended prices for each hospital, with
prices set at two-thirds of the hospital’s
experience and one-third of the region’s
average experience for performance
years 1 and 2 of the model, as one-third
of the hospital’s experience and twothirds of the region’s experience as used
for performance year 3 of the model,
and as the region’s average experience
for performance years 4 and 5 of the
model. We made an exception for
hospitals with low historical CJR
episode volume defined in this final
rule as those with fewer than 20 CJR
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episodes in total across the 3 historical
years, by setting their target price as the
region’s experience. These average
prices were then disaggregated based on
the national anchor factor of average
episode spending for MS–DRG 470
relative to MS–DRG 469, the computed
hospital-specific weight, the hospital’s
wage index was then applied back to the
price, and a Medicare discount was
applied.
After calculating risk stratified target
prices for MS–DRG 469 and 470 for each
hospital appropriate for each
performance year, we compared these
target prices against actual performance
in the 2014 calendar year. We capped
actual spending for individual episodes
based on the methodology in this final
rule for high cost episodes. After
incorporating the final policy for high
cost episodes, total Medicare FFS
spending in the 2014 calendar year for
each hospital was reconciled against the
target price and total number of
episodes for the hospital. The aggregate
impacts were then determined by
multiplying by the total episodes for
each MS–DRG.
As described earlier in this rule, we
are finalizing our proposal to rebase the
target prices in performance years 3 and
4 based on episodes that start between
the period of January 1, 2014 to
December 31, 2016 and rebase target
prices for performance year 5 based on
episodes that start between the period of
January 1, 2016 to December 31, 2018.
The difference between each CJR
episode’s actual payment and the
relevant target price (calculated as target
price subtracted by CJR episode actual
episode payment) will be aggregated for
all episodes for a participant hospital
within the performance year, creating
the NPRA. As finalized in this rule, any
positive NPRA amount greater than the
stop-gain limit will be capped at the
stop-gain limit of 5 percent for
performance years 1 and 2 of the model,
10 percent in performance year 3 and 20
percent in performance years 4 and 5.
We note this is a change from the
proposed rule where we had proposed
a stop-gain limit to be capped at 20
percent for each performance year of the
model. In addition, any negative NPRA
amount exceeding the stop-loss limit
will be capped at the stop-loss limit as
described in section III.C.8.b. of this
final rule. To limit a hospital’s overall
repayment responsibility under this
model, a 5 percent repayment limit in
performance year 2, 10 percent
repayment limit in performance year 3
and a 20 percent repayment limit in
performance years 4 and 5. We note that
this is a change from our proposed rule
where we had proposed to set a 10
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percent repayment limit in performance
year 2 and 20 percent repayment limit
in performance years 3 and subsequent
years. For rural hospitals, MDHS, SCHs
and RRCs, we are requiring a 3 percent
repayment limit in performance year 2
and a 5 percent repayment limit in
performance year 3 and subsequent
years. Furthermore, as described earlier
in this final rule, we are not finalizing
our proposal that in order for a
participant hospital to qualify for a
reconciliation payment, a hospital must
meet or exceed the 30th percentile
benchmark for each of the following
three quality measures in performance
years 1 through 3 and 40th percentile in
performance years 4–5:
• Hospital-level risk-standardized
complication rate following elective
primary total hip arthroplasty (THA)
and/or total knee arthroplasty (TKA)
(NQF #1550).
• Hospital-level 30-day, all-cause
risk-standardized readmission rate
following elective primary total hip
arthroplasty (THA) and/or total knee
arthroplasty (TKA) (NQF #1551).
• HCAHPS survey (NQF #0166).
Additionally, as described earlier in
this final rule in section III.C.5., we are
not finalizing our proposal that
hospitals could qualify for a lower
discount from 2 percent to 1.7 percent
applied to their target episode price if
they voluntarily submit patient-reported
outcome measures data. Rather, we are
finalizing the use of a composite quality
score based on achievement and
improvement on the THA/TKA
Complications measure (NQF #1550)
and the HCAHPS Survey measure (NQF
#0116), as well as submission of THA/
TKA voluntary PRO data, that will
assign hospitals to be below acceptable,
acceptable, good, and excellent.
Hospitals assigned as ‘below acceptable’
would not be eligible for a
reconciliation payment and would be
subject to a 3 percent discount.
Hospitals assigned as ‘acceptable’ would
be eligible for a reconciliation payment
and would be subject to a 3 percent
discount. Hospitals assigned as ‘good’
would be eligible for a reconciliation
payment and would be subject to a 2
percent discount. Lastly, hospitals
assigned as ‘excellent’ would be eligible
for a reconciliation payment and would
be subject to a 1.5 percent discount. We
note that in performance year 2 and 3,
the discount for repayment would be 1
percentage point less than the discount
applied for a reconciliation payment.
We have used the following data to
model the impact of this policy:
• Hospital-level risk-standardized
complication rate following elective
primary total hip arthroplasty (THA)
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and/or total knee arthroplasty (TKA)
measure results reported on Hospital
Compare in July 2015 based on the
performance period of April 1, 2011
through March 31, 2014.
• HCAHPS survey (NQF #0166)
reported on Hospital Compare in
October 2015 based on the performance
period of January 1, 2014 through
December 31, 2014. To calculate
improvement included in the composite
quality score, we used the following
data:
• Hospital-level risk-standardized
complication rate following elective
primary total hip arthroplasty (THA)
and/or total knee arthroplasty (TKA)
measure results reported on Hospital
Compare in July 2014 based on the
performance period of April 1, 2010
through March 31, 2013.
• HCAHPS survey (NQF #0166)
reported on Hospital Compare in
December 2014 based on the
performance period of January 1, 2013
through December 31, 2013.
For the purpose of this analysis, we
assumed that no hospitals voluntarily
submitted patient reported outcome
measures because we do not have the
data to determine which hospitals in the
model would submit this data.
However, if we assumed that all
hospitals in the model voluntarily
submitted patient reported outcome
measures, we would estimate that over
the 5 performance years of the model,
we would save $329 million (or 2.7% of
total episode spend), as opposed to the
projected estimates of $343 million (or
2.8% of total episode spend) in this
final rule.. Hospitals located in selected
MSAs were assigned to a performance
percentile and assigned the
corresponding quality performance
score points listed in Table 16 of this
final rule, based on their performance in
the historical performance data
described earlier. Hospitals that did not
have a reported measure result were
assigned to the 50th performance
percentile. Hospitals assigned a quality
measure performance percentile for the
most recent year that improved by at
least three deciles from the prior years’
time period were quality improvement
points. We used HCAHPS survey (NQF
#0166) reported on Hospital Compare in
October 2015 based on the performance
period of January 1, 2014 through
December 31, 2014 and Hospital-level
(RSCR) following elective primary total
hip arthroplasty (THA) and/or total knee
arthroplasty (TKA) measure results
reported on Hospital Compare in July
2015 based on the performance period
of April 1, 2011 through March 31, 2014
to model the hospital’s performance in
the most recent year. We used HCAHPS
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survey (NQF #0166) reported on
Hospital Compare in December 2014
based on the performance period of
January 1, 2013 through December
31,(RSCR)following elective primary
total hip arthroplasty (THA) and/or total
knee arthroplasty (TKA) measure results
reported on Hospital Compare in July
2014 based on the performance period
of April 1, 2010 through March 31, 2013
to calculate the hospital’s performance
in the prior year for the purpose of
modeling a hospital’s quality
improvement. Composite quality scores,
including quality improvement points
on the two measures, were calculated
for hospitals in selected MSAs, and
hospitals were assigned to a quality
category of ‘‘below acceptable’’,
‘‘acceptable’’, ‘‘good’’ or ‘‘excellent’’
based on their composite quality scores.
As discussed in section III.C.5. of this
final rule, composite quality scores will
affect hospitals’ eligibility for
reconciliation payments and determine
the amount of quality incentive
payment a given hospital earns, which
will affect hospitals’ effective discount
percentages at reconciliation.
In order to model payments in this
impacts analysis, hospitals assigned as
‘below acceptable’ would not be eligible
for a reconciliation payment and would
be subject to a 3 percent effective
discount percentage; hospitals assigned
as ‘acceptable’ would be eligible for a
reconciliation payment and would be
subject to a 3 percent effective discount
percentage; hospitals assigned as ‘good’
would be eligible for a reconciliation
payment and would be subject to a 2
percent effective discount percentage,
and hospitals assigned as ‘excellent’
would be eligible for a reconciliation
payment and would be subject to a 1.5
percent effective discount percentage.
We note that for performance years 2
and 3 of the model, for the purpose of
repayment, the discount percentage is
one percentage point lower than the
effective discount percentage assigned
for reconciliation payment. Due to
limited data, for the purpose of
modeling these estimates, we assumed
that hospitals in the selected MSAs
would have the same composite quality
score throughout the 5 year performance
period of the model.
To simulate the impact for
performance year 1 or April 1 2016
through December 31, 2016, we
calculated the NPRA assuming no
downside risk to hospitals, and using
the target price calculated for
performance year 1, that is two-thirds
hospital experience and one-third
region experience. If the estimated
NPRA is negative (that is, in the
aggregate, the actual episode payments
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for all episodes is greater than the target
price multiplied by the number of
episodes) for performance year 1,
Medicare will not require repayment of
the NPRA from the hospital because we
have finalized no hospital responsibility
for repayment for the first performance
year. Additionally, as part of this
estimate, we accounted for whether a
hospital met the minimum composite
quality score to be eligible for a
reconciliation payment and to meet the
quality incentive payment that adjusts
the effective discount percentage to 2
percent or 1.5 percent. Lastly, we have
applied the 5 percent stop-gain limit on
the estimated reconciliation payments
made to participant hospitals total
reconciliation payments reflect what we
will expect Medicare to pay hospitals
due to normal claims variation, and due
to a blended target price which rewards
hospitals that already perform better
than their regional average.
To simulate the impact in
performance year 2, we calculated the
NPRA with the 5 percent stop-loss and
stop-gain limits applied, but only
requiring repayments from hospitals for
total spending that is above a 1 percent
discount. Additionally, we accounted
for whether hospitals would meet the
quality payment incentives based on
their performance for the THA/TKA
complications rate and HCAHPs survey
including eligibility for a reconciliation
payment and the quality incentive
discount at 2 percent or 1.5 percent. For
the simulation in performance year 2,
we used the target price calculated for
performance year 2 that is two-thirds
hospital experience and one-third
regional experience. A 5 percent stoploss limit was applied to repayments,
and 3 percent stop-loss limit was
applied for rural hospitals, sole
community hospitals, Medicare
dependent hospitals, and rural referral
centers, and a 5 percent stop-gain limit
was applied. We note that this is a
change from the proposed rule where
we proposed to apply a 10 percent stoploss limit for all hospitals except for
rural hospitals, sole community
hospitals, Medicare dependent hospitals
and rural referral centers.
To simulate the impact in
performance year 3, we calculated the
NPRA assuming 10 percent stop-gain
and stop-loss limit and met the quality
incentive scores for a reduced discount
and for reconciliation payments, and
requiring repayments from hospitals for
total spending that is above the 2
percent discount. For the simulation in
year 3, we used the target price
calculated as one-third of the hospital’s
experience and two-thirds of the
regional experience. We included a 10
percent stop-loss limit on repayments
from acute care hospitals included in
this analysis, but used a 5 percent stoploss limit on reconciliation repayments
from rural hospitals, sole community
hospitals, Medicare dependent
hospitals, and rural referral centers. We
note that this is a change from the
proposed rule where we included a 20
percent stop-gain limit and 20 percent
stop-loss limit on repayments for all
hospitals with the exception of rural
hospitals, sole community hospitals,
Medicare dependent hospitals, and rural
referral centers
For performance years 4 and 5, the
impact estimates were calculated in the
same way except that the episode target
prices are based on 100 percent of the
regional experience and the stop-loss
and stop-gain limits are set to 20
percent.
In the CJR model, we have finalized
to include a total of 67 MSAs from 8
MSA groupings. IPPS hospitals located
within the selected MSAs will be
required to participate in this model
unless they participate in BPCI as
discussed earlier in this final rule in
section III.A.
Additionally, we note for these
estimates, we did not assume that
participation in this model would result
in in efficiency or utilization over the
course of the model. Since the model
provides hospitals with strong
incentives to improve efficiency,
however, it is plausible that
improvement in efficiency (and
corresponding reductions in utilization)
could occur. If such improvements
occurred, however, it would have a
limited effect on the net savings
generated by the model since the
resulting reduction in episode savings
would be offset approximately one-forone by higher net reconciliation
payments up to the stop-gain limits.
Over the 5 performance years of the
model, we estimate $343 million dollars
in savings to the Medicare program, out
of $12.299 billion in total episode
spending.
TABLE 33—ESTIMATES OF RECONCILIATION PAYMENTS *
Performance year of the model
2016
Total episode spending ............................
Net reconciliation payments** ..................
Reconciliation amounts ............................
Repayment amounts ................................
Net reconciliation as a percentage of
total episode spend ..............................
2017
2018
2019
2020
Across all 5
years of the
model
$1,247
11
11
¥
$2,562
(36)
23
(58)
$2,688
(71)
30
(101)
$2,821
(120)
52
(172)
$2,980
(127)
55
(182)
$12,299
(343)
170
(513)
0.8%
¥1.4%
¥2.6%
¥4.2%
¥4.2%
¥2.8%
* Impact
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** Sum
for 67 selected MSAs. All numbers rounded to closest million.
of reconciliation amount and repayment amount may not add to net reconciliation payment due to rounding.
These estimates contain a significant
amount of uncertainty. As a result, this
model could produce more significant
Medicare savings or could result in
additional costs to the Medicare
program. The primary source of
uncertainty stems from the normal
variation in claim cost trends each year
coupled with the cap on the repayment
made at reconciliation. In addition, this
analysis assumes no change in
utilization both for the use of services
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within the bundled episode, as well as
no change in total episodes among
hospitals. The prospective prices for the
CJR model incorporate price updates
from the FFS payment systems, but
assume no change in utilization for the
performance years. If there is a national
increase in utilization within each
bundle that is independent of this
model, then savings to the Medicare
program may increase due to greater
repayments paid back to Medicare. If
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there is a national decrease in
utilization within each bundle that is
independent of this model, then costs to
the Medicare program may increase due
to greater reconciliation payments paid
by Medicare to hospitals. The results
will also depend on the cumulative
effects over time and across providers
on whether and how the model changes
either actual medical procedures or the
allocations of payments among service
providers. We will expect significant
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variation among hospitals and among
metropolitan areas, but are unable to
predict these.
Additionally, although we project
savings to Medicare under this model,
as stated earlier, we note that under
section 1115A(b)(3)(B) of the Act, the
Secretary is required to terminate or
modify a model unless certain findings
can be made with respect to savings and
quality after the model has begun. If
during the course of testing the model
it is determined that termination or
modification is necessary, such actions
will be undertaken through rulemaking
as necessary.
b. Analyses
The first performance year of the
model is expected to cost the Medicare
program $11 million in reconciliation
payments made by CMS to hospitals. No
repayments from hospitals will be
assessed because hospitals are not
subject to downside risk in performance
year 1. Hospitals that will receive
reconciliation payments are the
hospitals that provide lower cost care
relative to their regional average. As
stated earlier, we are finalizing that the
first performance year will be 9 months
beginning April 1, 2016 through
December 31, 2016. The estimate
reflects reconciliation payments made
for a 9 month performance period.
In the second performance year of the
model, participant hospitals on net are
expected to pay $36 million to CMS. We
are stipulating a 5 percent stop-loss and
stop-gain limit for acute care hospitals,
with exception for rural hospitals, sole
community hospitals, Medicare
dependent hospitals, and rural referral
center hospitals which will be subject to
a 3 percent stop-loss limit. These limits
will cap the total amount of repayments
paid by hospitals to CMS.
In the third performance year of the
model, net reconciliation payments are
expected to be $71 million in savings to
the Medicare program. The additional
savings in performance year 3 compared
to performance year 2 can be attributed
to the increase in the stop-loss and stopgain limits to 10 percent for acute care
hospitals, with exception for rural
hospitals, sole community hospitals,
Medicare dependent hospitals, and rural
referral center hospitals which will be
subject to a 5 percent stop-loss limit.
For performance years 4 and 5 of the
model, the episode target price will be
based on full regional pricing. This
creates great variation between the
target price and hospitals own
experience. Therefore, the stop-gain and
stop-loss limits of 20 percent on
reconciliation payments are estimated to
have a larger impact. As a result, net
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payments are expected to be $120
million dollars from hospitals to the
Medicare program in the fourth year and
$127 million in the fifth year. These
estimated savings in years 4 and 5
represent 4.2 percent of total episode
spending in those years.
The total savings to the Medicare
program after 5 years of the model are
expected to be $343 million dollars out
of $12.299 billion dollars or 2.8 percent
in total episode spending. Due to the
uncertainty of estimating this model,
actual results could be significantly
higher or lower than this estimate.
c. Further Consideration
We can use our experience in
previous implementation of bundled
payment models to help inform our
impact analyses. We have previously
used our statutory authority to create
payment models such as the BPCI
initiative and the ACE Demonstration to
test bundled payments. Under the
authority of section 1866C of the Act,
CMS funded a 3-year demonstration, the
ACE Demonstration. The demonstration
used a prospective global payment for a
single episode of care as an alternative
approach to payment for service
delivery under traditional Medicare
FFS. The episode of care was defined as
a combination of Parts A and B services
furnished to Medicare FFS beneficiaries
during an inpatient hospital stay for any
one of a specified set of cardiac and
orthopedic MS DRGs. The MS DRGs
tested included 469 and 470, which are
included in the CJR model. The
discounted bundled payments generated
an average gross savings to Medicare of
$585 per episode for a total of $7.3
million across all episodes (12,501
episodes) or 3.1 percent of the total
expected costs for these episodes. After
netting out the savings produced by the
Medicare Parts A and B discounted
payments and some increased PAC costs
that were observed at two sites,
Medicare saved approximately $4
million, or 1.72 percent of the total
expected Medicare spending.
Additionally, we are currently testing
the BPCI initiative. Under the initiative,
entities enter into payment
arrangements with CMS that include
financial and performance
accountability for episodes of care.
Episodes of care under the BPCI
initiative begin with either an—(1)
Inpatient hospital stay; or (2) PAC
services following a qualifying inpatient
hospital stay and include tests of LEJR
episodes. The BPCI initiative is
evaluating the effects of episode based
payment approaches on patient
experience of care, outcomes, and cost
of care for Medicare FFS beneficiaries.
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73537
Although there is some evidence from
BPCI and ACE suggesting that providers
may improve their performance, both of
these initiatives were voluntary, and the
participants that volunteered to
participate may be in a better position
to reduce episode spending relative to
the average provider. We believe that
our experiences with BPCI support the
design of the CJR Model.
3. Effects on Beneficiaries
In 2014, approximately 430,000
Medicare beneficiaries had discharges
for LEJRs (MS–DRG 469 and MS–DRG
470) nationally. We anticipate that the
CJR model may benefit beneficiaries
receiving LEJRs because the intent of the
model is to test whether providers
under this bundled payment system are
able to improve the coordination and
transition of care, invest in
infrastructure and redesigned care
processes for high quality and efficient
service delivery, and incentivize higher
value care across the inpatient and PAC
spectrum spanning the episode of care.
We have finalized several quality of
care and patient experience measures to
evaluate participant hospitals in the CJR
model with the intent that it will
encourage the provider community to
focus on and deliver improved quality
care for the Medicare beneficiary. We
are finalizing to adopt and publicly
report two hospital level quality of care
measures for the CJR model. Those
measures include a complication
measure and a patient experience
survey measure. In addition, we are
finalizing to voluntarily collect data to
develop a hospital-level measure of
patient reported outcomes following an
elective primary total hip or total knee
arthroplasty to be used in future years
of the model. We finalized to use these
measures to assess the success of the
model and to monitor for beneficiary
safety. The accountability of participant
hospitals for both quality and cost of
care provided for Medicare beneficiaries
with an LEJR episode provides the
hospitals with new incentives to
improve the health and well-being of
the Medicare beneficiaries they treat.
Additionally, the model does not
affect the beneficiary’s freedom of
choice to obtain health services from
any individual or organization qualified
to participate in the Medicare program.
Under the CJR model, eligible
beneficiaries who choose to receive
services from a participant hospital will
not have the option to opt out of
inclusion in the model. Although the
CJR model allows hospitals to enter into
risk-sharing arrangements with certain
other providers and these hospitals may
recommended those providers to the
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beneficiary, hospitals may not prevent
or restrict beneficiaries to any list of
preferred or recommended providers.
Many controls exist under Medicare
to ensure beneficiary access and quality
and we will use our existing authority,
if necessary, to audit participant
hospitals if claims analysis indicates an
inappropriate change in delivered
services. As described earlier in this
final rule, given that participant
hospitals will receive a reconciliation
payment when they are able to reduce
average costs per case and meet quality
thresholds, they could have an incentive
to avoid complex, high cost cases by
referring them to nearby facilities or
specialty referral centers. We intend to
monitor the claims data from participant
hospitals—for example, to compare a
hospital’s case mix relative to a premodel historical baseline to determine
whether complex patients are being
systematically excluded. Furthermore,
we also will require providers to supply
beneficiaries with written information
regarding the design and implications of
this model as well as their rights under
Medicare, including their right to use
their provider of choice.
We are implementing several
safeguards to ensure that Medicare
beneficiaries do not experience a delay
in services. We believe that the longer
the episode duration, the lower the risk
of delaying care beyond the episode
duration, and we believe that a 90 day
episode is sufficiently long to minimize
the risk that any LEJR related care will
be delayed beyond the end of the
episode. Moreover, we have finalized as
part of the payment definition (see
section III.C. of this final rule) that
certain post-episode payments occurring
in the 30 day window subsequent to the
end of the 90-day episode will be
counted as an adjustment against
savings. Importantly, approaches to
saving costs will include taking steps
that facilitate patient recovery, that
shorten recovery duration, and that
minimize post-operative problems that
might lead to readmissions. Thus, the
model itself rewards better patient care.
Lastly, we note that Medicare
payments for services will continue to
be made for each Medicare FFS
payment system under this model, and
will include normal beneficiary
copayments, deductibles, and
coinsurance. We expect and assume that
beneficiary payments will not be
affected, as only the hospital will be
subject to the reconciliation process.
Beneficiaries may benefit if providers
are able to systematically improve the
quality of care while reducing costs. We
welcomed public comments on our
estimates of the impact of our proposals
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on Medicare beneficiaries. We did not
receive any comments on our estimates
of the impact of our policies on
Medicare beneficiaries.
4. Effects on Small Entities
The RFA requires agencies to analyze
options for regulatory relief of small
entities, if a rule has a significant impact
on a substantial number of small
entities. For purposes of the RFA, small
entities include small businesses,
nonprofit organizations, and small
governmental jurisdictions. We estimate
that most hospitals and most other
providers and suppliers are small
entities, either by virtue of their
nonprofit status or by qualifying as
small businesses under the Small
Business Administration’s size
standards (revenues of less than $7.5 to
$38.5 million in any 1 year; NAIC
Sector-62 series). States and individuals
are not included in the definition of a
small entity. For details, see the Small
Business Administration’s Web site at
https://www.sba.gov/content/smallbusiness-size-standards.
For purposes of the RFA, we generally
consider all hospitals and other
providers and suppliers to be small
entities. We believe that the provisions
of this final rule relating to acute care
hospitals will have some effects on a
substantial number of other providers
involved in these episodes of care
including surgeons and other
physicians, SNFs, physical therapists,
and other providers.
Although we acknowledge that many
of the affected entities are small entities,
and the analysis discussed throughout
this final rule discusses aspects of the
model that may or will affect them, we
have no reason to assume that these
effects will reach the threshold level of
5 percent of revenues used by HHS to
identify what are likely to be
‘‘significant’’ impacts. Although LEJR
procedures (MS–DRGs 469 and 470) are
among the most common surgical
procedures undergone by Medicare
beneficiaries, they are only about 5
percent of all acute hospital
discharges.107 We assume that all or
almost all of these entities will continue
to serve these patients, and to receive
payments commensurate with their cost
of care. Such changes occur frequently
already (for example, as both hospital
affiliations and preferred provider
networks change), and we have no
reason to assume that this will change
significantly under the model.
Accordingly, we have determined that
this final rule will not have a significant
107 Medicare Inpatient Claims data from JanuaryDecember 2014, Chronic Conditions Warehouse.
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impact on a substantial number of small
entities. We solicited public comments
on our estimates and analysis of the
impact of our proposals on those small
entities.
Comment: We received a comment
regarding our determination that this
rule would not have a significant impact
on a substantial number of small
entities. The commenter stated that
because LEJRs are among the most
common surgical procedures for
Medicare beneficiaries, a significant
number of Medicare patients are
receiving their rehabilitation treatment
outside the hospital at independent
physical therapy practices. Thus, the
commenter stated that the analysis
erroneously focused on hospitals and
neglected to address the impact that this
model would have on small
independent physical therapy practices.
Response: We acknowledge that many
providers, besides hospitals, are
involved in the continuum of care for
Medicare beneficiaries in the 90-day
post discharge LEJR episodes and will
be impacted by this model. However,
we have focused this impact analysis on
the providers that are directly
financially responsible for the episode
of care for LEJRs, the IPPS hospitals in
the selected MSAs. Many of the policies
finalized in this rule are directed
towards the IPPS hospitals because they
are financially at risk under this model.
Accordingly, the estimates in this
impact analysis are for the hospitals
participating in this model and we are
unable to estimate the impacts on nonhospital providers and suppliers that are
involved in the care for beneficiaries
with LEJR episodes.
5. Effects on Small Rural Hospitals
Section 1102(b) of the Social Security
Act requires us to prepare a regulatory
impact analysis if a proposed rule or
final rule may have a significant impact
on the operations of a substantial
number of small rural hospitals. This
analysis must conform to the provisions
of section 603 of the RFA. For purposes
of section 1102(b) of the Act, a small
rural hospital is defined as a hospital
that is located outside of an MSA and
has fewer than 100 beds. We note that,
according to this definition, the CJR
model will not include any rural
hospitals given that the CJR model will
only include hospitals located in MSAs,
as discussed in section III.A of this final
rule. However, we also note that as
discussed in section III.C.8. of this final
rule, for purposes of our policy finalized
in this rule to include a more protective
stop-loss policy for certain hospitals, we
are finalizing to define a rural hospital
as an IPPS hospital that is either located
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in a rural area in accordance with
§ 412.64(b) or in a rural census tract
within an MSA defined at
§ 412.103(a)(1) or has reclassified to
rural in accordance with § 412.103.
Thus, the CJR model will affect some
rural hospitals, as discussed previously
in section III.C.8. of this final rule.
Because of our concerns that rural
hospitals may have lower risk tolerance
and less infrastructure and support to
achieve efficiencies for high payment
episodes, we are implementing
additional financial protections for
certain categories of hospitals, including
rural hospitals. In performance year 2, a
hospital could owe Medicare no more
than 5 percent of the target price
multiplied by the number of the
hospital’s LEJR episodes in CJR as we
phase in repayment responsibility under
the model and in performance year 3, a
hospital could owe Medicare no more
than 10 percent. In performance year 4
and 5 when full repayment
responsibility is in place, no more than
20 percent of the target price multiplied
by the number of the hospital’s LEJR
episodes in CJR could be owed by a
hospital to Medicare. However, for rural
hospitals, Medicare Dependent
Hospitals, RRCs and Sole Community
Hospitals, we are implementing a lower
stop loss limit policy of 3 percent of
episode payments for these categories of
hospitals. More specifically, in
performance year 2, a rural hospital,
MDH, RRC, or SCH could owe Medicare
no more than 3 percent of the target
price multiplied by the number of the
hospital’s episodes in CJR. In
performance years 3 through 5, such a
hospital could owe Medicare no more
than 5 percent of the target price
multiplied by the number of the
hospital’s episodes. We are finalizing
these additional protections, and we
estimate that approximately 9 percent of
participant hospitals are rural hospitals,
MDHs, RRCs and SCHs that will be
subject to these protections.
Because LEJR procedures (MS–DRGs
469 and 470) account for only about 5
percent of all discharges, because
relatively few of these procedures are
performed at small rural hospitals, and
because our model is designed to
minimize adverse effects on rural
hospitals, we do not believe that rural
hospitals will experience significant
adverse economic impacts. Accordingly,
we conclude that this final rule will not
have a significant impact on the
operations of a substantial number of
small rural hospitals.
We solicited public comments on our
estimates and analysis of the impact of
our proposals on those small rural
hospitals.
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Comment: A commenter questioned
our determination that this rule will not
have a significant impact on small rural
hospitals. The commenter was
concerned that the proposed rule could
cause significant harm to rural
hospitals, particularly rural hospitals
paid under cost reimbursement like
CAHs. The commenter believed that
because swing beds offered in CAHs are
reimbursed at a higher cost based rate
than SNFs, hospitals would divert their
patients from the CAH to a SNF. This
would result in a significant financial
impact on the CAHs who would lose
their swing bed patients.
Response: We appreciate the
comment regarding the impact of this
model on rural providers, particularly
CAHs. CAHs have been excluded as
episode initiators in this model as IPPS
hospitals are the selected participants
that are financially responsible for the
90-day LEJR episode. However, we
anticipate that rural providers such as
CAHs, RHCs and FQHCs would be
involved in the care provided to
Medicare beneficiaries with a 90-day
LEJR episode. It is possible that as
participant hospitals implement
changes to improve efficiencies in
episode spending that they may change
their care coordination patterns with
consideration to costs and quality, and
it would affect other provider types
involved in the care continuum for LEJR
patients. As described earlier in this
final rule, we recognize that rural IPPS
hospitals, SCHs, MDH and RRCs often
serve as the only access of care for
beneficiaries living in rural areas and
may have fewer resources to contain
costs under this model and may have
more limited options on providers to
coordinate care with, such as CAHs that
are reimbursed at a higher cost based
rate. As a result, we have provided for
more protective stop-loss limits for
these groups of IPPS hospitals in order
to be able to include them in the model
while alleviating some financial risk
and we believe that this model will not
have a significant impact on the
operations of a substantial number of
small rural hospitals. Because IPPS
hospitals are financially at risk in this
model, the estimates in this impact
analysis are for the hospitals selected to
be in this model and we are unable to
estimate the impacts on non-hospital
rural providers that are involved in the
care for beneficiaries with LEJR
episodes.
6. Unfunded Mandates
Section 202 of the Unfunded
Mandates Reform Act of 1995 (UMRA)
also requires that agencies assess
anticipated costs and benefits before
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73539
issuing any rule whose mandates
require spending in any 1 year of $100
million in 1995 dollars, updated
annually for inflation. In 2015, that is
approximately $144 million. This final
rule does not include any mandate that
would result in spending by state, local
or tribal governments, in the aggregate,
or by the private sector in the amount
of $144 million in any 1 year.
D. Alternatives
Throughout this final rule, we have
identified our policies and alternatives
that we have considered, and provided
information as to the effects of these
alternatives and the rationale for each of
the policies. In the proposed rule we
solicited and welcomed comments on
our proposals, on the alternatives we
identified, and on other alternatives that
we should consider, as well as on the
costs, benefits, or other effects of these.
We note that our estimates are limited
to the IPPS hospitals that are selected to
participate in this model. This final rule
will not directly affect hospitals that are
not participating in the model.
However, it may encourage innovations
in health care delivery in other areas or
in care reimbursed through other
payers. For example, a hospital and
affiliated providers may choose to
extend their arrangements to all joint
replacement procedures they provide,
not just those reimbursed by Medicare.
Alternatively, a hospital and affiliated
providers in one city may decide to hold
themselves forth as ‘‘centers of
excellence’’ for patients from other
cities, both those included and not
included in the model. In the proposed
rule we welcomed comments that
address these or other possibilities. We
did not receive any comments on the
alternatives considered.
E. Accounting Statement
As required by OMB Circular A–4
under Executive Order 12866 (available
at https://www.whitehouse.gov/omb/
circulars_a004_a-4) in Table 34, we
have prepared an accounting statement
showing the classification of transfers,
benefits, and costs associated with the
provisions in this final rule. The
accounting statement is based on
estimates provided in this regulatory
impact analysis. As described in Table
33, we estimate this final model will
result in savings to the federal
government of $343 million over the 5
performance years of the model from
2016 to 2020. The following Table 34
shows the annualized change in (A) net
federal monetary transfers, and (B)
potential reconciliation payments to
participating hospitals net of
repayments from participant hospitals
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that is associated with the provisions of
this final rule as compared to baseline.
In Table 34, the annualized change in
payments based on a 7 percent and 3
percent discount rate, results in net
federal monetary transfer from the
participant IPPS hospitals to the federal
government of $63 million and $65
million respectively.
TABLE 34—ACCOUNTING STATEMENT ESTIMATED IMPACTS
Primary estimate
Source citation
(RIA, preamble, etc.)
Annualized monetized transfers: Discount rate: 7% ...............................
$63 million .....................................
Change from baseline to final
changes (Table 18).
Annualized monetized transfers: Discount rate: 3% ...............................
65 million..
From whom to whom? ............................................................................
From Participant IPPS Hospitals to Federal Government.
Category
BENEFITS
F. Conclusion
Subpart B—Comprehensive Care for Joint
Replacement Model Participants
The preceding analysis, together with
the remainder of this preamble,
provides the Regulatory Impact Analysis
of a rule with a significant economic
effect. As a result of this final rule, we
estimate of the financial impact of the
CJR model for CYs 2016 through 2020
will be net federal savings of $343
million over a 5 year period. The
annualized change in payments based
on a 7 percent and 3 percent discount
rate, results in net federal monetary
transfer from the participant IPPS
hospitals to the federal government of
$63 million and $65 million
respectively.
In accordance with the provisions of
Executive Order 12866, this rule was
reviewed by the Office of Management
and Budget.
510.100
510.105
List of Subjects for 42 CFR Part 510
Administrative practice and
procedure, Health facilities, Medicare,
Reporting and recordkeeping
requirements.
For the reasons set forth in the
preamble, under the authority at section
1115A of the Social Security Act, the
Centers for Medicare & Medicaid
Services amends 42 CFR Chapter IV as
follows:
Episodes being tested.
Geographic areas.
510.200 Time periods, included and
excluded services, and attribution.
510.205 Beneficiary inclusion criteria.
510.210 Determination of the episode.
Authority: Secs. 1102, 1115A, and 1871 of
the Social Security Act (42 U.S.C. 1302,
1315(a), and 1395hh).
Subpart A—General Provisions
Subpart D—Pricing and Payment
510.300 Determination of episode target
prices.
510.305 Determination of the NPRA and
reconciliation process.
510.310 Appeals process.
510.315 Composite quality scores for
determining reconciliation payment
eligibility and quality incentive
payments.
510.320 Treatment of incentive programs
or add-on payments under existing
Medicare payment systems.
510.325 Allocation of payments for
services that straddle the episode.
Subpart E—Quality Measures, Beneficiary
Protections, and Compliance Enforcement
510.400 Quality measures and reporting.
510.405 Beneficiary choice and beneficiary
notification.
510.410 Compliance enforcement.
Subpart F—Financial Arrangements and
Beneficiary Incentives
SUBCHAPTER H—HEALTH CARE
INFRASTRUCTURE AND MODEL
PROGRAMS
1. Revise the heading of subchapter H
to read as set forth above.
Subpart G—Waivers
2. Part 510 is added to subchapter H
to read as follows:
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■
PART 510—COMPREHENSIVE CARE
FOR JOINT REPLACEMENT MODEL
Sec.
Subpart A—General Provisions
510.1
510.2
Basis and scope.
Definitions.
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Subpart K—Model Termination
510.900 Termination of the CJR model.
Subpart C—Scope of Episodes
510.500 Financial arrangements under the
CJR model.
510.505 Distribution arrangements.
510.510 Enforcement authority.
510.515 Beneficiary incentives under the
CJR model.
■
Subparts H—J [Reserved]
510.600 Waiver of direct supervision
requirement for certain post-discharge
home visits.
510.605 Waiver of certain telehealth
requirements.
510.610 Waiver of SNF 3-day rule.
510.615 Waiver of certain post-operative
billing restrictions.
510.620 Waiver of deductible and
coinsurance that otherwise apply to
reconciliation payments or repayments.
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§ 510.1
Basis and scope.
(a) Basis. This part implements the
test of the Comprehensive Care for Joint
Replacement model under section
1115A of the Act. Except as specifically
noted in this part, the regulations under
this part must not be construed to affect
the payment, coverage, program
integrity, or other requirements (such as
those in parts 412 and 482 of this
chapter) that apply to providers and
suppliers under this chapter.
(b) Scope. This part sets forth the
following:
(1) The participants in the
Comprehensive Care for Joint
Replacement model.
(2) The episodes being tested in the
model.
(3) The methodology for pricing and
payment under the model.
(4) Quality performance standards
and quality reporting requirements.
(5) Safeguards to ensure preservation
of beneficiary choice and beneficiary
notification.
§ 510.2
Definitions.
For the purposes of this part, the
following definitions are applicable
unless otherwise stated:
ACO stands for accountable care
organization.
Actual episode payment means the
sum of Medicare claims payments for
items and services that are included in
the episode in accordance with
§ 510.200(b), excluding the items and
services described in § 510.200(d).
Alignment payment means a payment
from a CJR collaborator to a participant
hospital under a sharing arrangement,
for only the purpose of sharing the
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participant hospital’s responsibility for
repayments to Medicare.
Anchor hospitalization means the
initial hospital stay upon admission for
a lower extremity joint replacement.
BPCI stands for the Bundled Payment
for Care Improvement initiative.
CEC stands for Comprehensive ESRD
Care Initiative.
CCN stands for CMS certification
number.
CJR collaborator means one of the
following Medicare-enrolled persons or
entities that enters into a sharing
arrangement:
(1) Skilled nursing facility (SNF).
(2) Home health agency (HHA).
(3) Long-term care hospital (LTCH).
(4) Inpatient rehabilitation facility
(IRF).
(5) Physician.
(6) Nonphysician practitioner.
(7) Provider or supplier of outpatient
therapy services.
(8) Physician group practice (PGP).
CJR reconciliation report means the
report prepared after each reconciliation
that CMS provides to each participant
hospital notifying the participant
hospital of the outcome of the
reconciliation.
Collaborator agreement means a
written, signed agreement between a
CJR collaborator and a participant
hospital that meets the requirements of
§ 510.500(c).
Composite quality score means a score
computed for each participant hospital
to summarize the hospital’s level of
quality performance and improvement
on specified quality measures as
described in § 510.315.
Core-based statistical area (CBSA)
means a statistical geographic entity
consisting of the county or counties
associated with at least one core
(urbanized area or urban cluster) of at
least 10,000 population, plus adjacent
counties having a high degree of social
and economic integration with the core
as measured through commuting ties
with the counties containing the core.
Critical access hospital (CAH) means
a hospital designated under subpart F of
part 485 of this chapter.
Distribution arrangement means a
financial arrangement between a PGP
that is a CJR collaborator and a practice
collaboration agent in which the PGP
distributes some or all of a gainsharing
payment that it received from a
participant hospital.
Distribution payment means a
payment made by a PGP that is a CJR
collaborator to a practice collaboration
agent under a distribution arrangement.
DME stands for durable medical
equipment.
EFT stands for electronic funds
transfer.
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Episode of care (or Episode) means all
Medicare Part A and B items and
services described in § 510.200(b) (and
excluding the items and services
described in § 510.200(d)) that are
furnished to a beneficiary described in
§ 510.205 during the time period that
begins with the beneficiary’s admission
to an anchor hospitalization and ends
on the 90th day after the date of
discharge from the anchor
hospitalization, with the day of
discharge itself being counted as the
first day of the 90-day post-discharge
period.
Episode target price means the
amount determined in accordance with
§ 510.300 and applied to an episode in
determining a net payment
reconciliation amount.
ESRD stands for end stage renal
disease.
Gainsharing payment means a
payment from a participant hospital to
a CJR collaborator, under a sharing
arrangement, composed of only
reconciliation payments or internal cost
savings or both.
HHA stands for home health agency.
HCAHPS stands for Hospital
Consumer Assessment of Healthcare
Providers and Systems.
HCPCS stands for CMS Common
Procedure Coding System.
Historical episode payment means the
most recent 3 years of expenditures for
an episode in a given participant
hospital.
ICD–CM stands for International
Classification of Diseases, Clinical
Modification.
Inpatient prospective payment
systems (IPPS) means the payment
systems for subsection (d) hospitals as
defined in section 1886(d)(1)(B) of the
Act.
Internal cost savings means the
measurable, actual, and verifiable cost
savings realized by the participant
hospital resulting from care redesign
undertaken by the participant hospital
in connection with providing items and
services to beneficiaries within specific
CJR episodes of care. Internal cost
savings does not include savings
realized by any individual or entity that
is not the participant hospital.
IPF stands for inpatient psychiatric
facility.
IPPS hospital (or hospital) means a
provider subject to the prospective
payment system specified in
§ 412.1(a)(1) of this chapter.
IRF stands for inpatient rehabilitation
facility.
Lower-extremity joint replacement
(LEJR) means any procedure that is
within MS–DRG 469 or 470, including
lower-extremity joint replacement
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73541
procedures or reattachment of a lower
extremity.
LTCH stands for long-term care
hospital.
Medicare severity diagnosis-related
group (MS–DRG) means, for the
purposes of this model, the
classification of inpatient hospital
discharges updated in accordance with
§ 412.10 of this chapter.
Medicare-dependent, small rural
hospital (MDH) means a specific type of
hospital that meets the classification
criteria specified under § 412.108 of this
chapter.
Member of the PGP or PGP member
means a physician, nonphysician
practitioner, or therapist who is an
owner or employee of the PGP and who
has reassigned to the PGP his or her
right to receive Medicare payment.
Metropolitan Statistical Area (MSA)
means a core-based statistical area
associated with at least one urbanized
area that has a population of at least
50,000.
Net payment reconciliation amount
(NPRA) means the amount determined
in accordance with § 510.305(e).
Nonphysician practitioner means
(except for purposes of subpart G of this
part) one of the following:
(1) A physician assistant who satisfies
the qualifications set forth at
§ 410.74(a)(2)(i) and (ii) of this chapter.
(2) A nurse practitioner who satisfies
the qualifications set forth at § 410.75(b)
of this chapter.
(3) A clinical nurse specialist who
satisfies the qualifications set forth at
§ 410.76(b) of this chapter.
(4) A certified registered nurse
anesthetist (as defined at § 410.69(b)).
(5) A clinical social worker (as
defined at § 410.73(a)).
(6) A registered dietician or nutrition
professional (as defined at § 410.134).
NPI stands for National Provider
Identifier.
OIG stands for the Department of
Health and Human Services Office of
the Inspector General.
PAC stands for post-acute care.
Participant hospital means an IPPS
hospital (other than those hospitals
specifically excepted under
§ 510.100(b)) with a CCN primary
address in one of the geographic areas
selected for participation in the CJR
model in accordance with § 510.105, as
of the date of selection or any time
thereafter during any performance
period.
PBPM stands for per-beneficiary-permonth.
Performance year means one of the
years in which the CJR model is being
tested. Performance years for the model
correlate to calendar years with the
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exception of performance year 1, which
is April 1, 2016 through December 31,
2016.
PGP stands for physician group
practice.
Physician has the meaning set forth in
section 1861(r) of the Act.
Post-episode spending amount means
the sum of Medicare Parts A and B
payments for items and services that are
furnished to a beneficiary within 30
days after the end of the beneficiary’s
episode.
Practice collaboration agent means a
PGP member who has entered into a
distribution arrangement with the same
PGP of which he or she is a member and
who has not entered into a collaborator
agreement with a participant hospital.
Provider of outpatient therapy
services means a provider or supplier
furnishing one or more of the following:
(1) Outpatient physical therapy
services as defined in § 410.60 of this
chapter.
(2) Outpatient occupational therapy
services as defined in § 410.59 of this
chapter.
(3) Outpatient speech-language
pathology services as defined in
§ 410.62 of this chapter.
Quality improvement points are
points that CMS adds to a participant
hospital’s composite quality score for a
measure if the hospital’s performance
percentile on an individual quality
measure increases from the previous
performance year by at least 3 deciles on
the performance percentile scale.
Quality performance points are points
that CMS adds to a participant
hospital’s composite quality score for a
measure based on the performance
percentile scale and for successful data
submission of patient-reported
outcomes.
Reconciliation payment means a
payment made by CMS to a CJR
participant hospital as determined in
accordance with § 510.305(f).
Region means one of the nine U.S.
census divisions, as defined by the U.S.
Census Bureau.
Repayment amount means the
amount owed by a participant hospital
to CMS, as reflected on a reconciliation
report.
Rural hospital means an IPPS hospital
that meets one of the following
definitions:
(1) Is located in a rural area as defined
under § 412.64 of this chapter.
(2) Is located in a rural census tract
defined under § 412.103(a)(1) of this
chapter.
(3) Has reclassified as a rural hospital
under § 412.103 of this chapter.
Rural referral center (RRC) has the
same meaning given this term under
§ 412.96 of this chapter.
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Sharing arrangement means a
financial arrangement between a
participant hospital and a CJR
collaborator for the sole purpose of
making gainsharing payments or
alignment payments under the CJR
model.
Sole community hospital (SCH)
means a hospital that meets the
classification criteria specified in
§ 412.92 of this chapter.
SNF stands for skilled nursing
facility.
Therapist means one of the following
as defined at § 484.4:
(1) Physical therapist.
(2) Occupational therapist.
(3) Speech-language pathologist.
TKA/THA stands for total knee
arthroplasty/total hip arthroplasty.
TIN stands for taxpayer identification
number.
Subpart B—Comprehensive Care for
Joint Replacement Program
Participants
§ 510.100
Episodes being tested.
(a) Initiation of an episode. An
episode is initiated when a participant
hospital admits a Medicare beneficiary
described in § 510.205 for an anchor
hospitalization.
(b) Exclusions. A hospital is excluded
from being a participant hospital, but
only so long as any of the following
conditions apply:
(1) The hospital is an episode initiator
for an LEJR episode in the risk-bearing
period of Models 2 or 4 of BPCI.
(2) The hospital is participating in
Model 1 of BPCI.
(3) These exclusions cease to apply as
of the date that the hospital no longer
meets any of the conditions specified in
this paragraph.
§ 510.105
Geographic areas.
(a) General. The geographic areas for
inclusion in the CJR model are obtained
based on a stratified random sampling
of certain MSAs in the United States.
All counties within each of the selected
MSAs are selected for inclusion in the
CJR model.
(b) Stratification criteria. Geographic
areas in the United States are stratified
according to the characteristics that
CMS determines are necessary to ensure
that the model is tested on a broad range
of different types of hospitals that may
face different obstacles and incentives
for improving quality and controlling
costs.
(c) Exclusions. CMS excludes from the
selection of geographic areas MSAs that
met the following criteria:
(1) Had fewer than 400 episodes
between July 1, 2013 and June 30, 2014.
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(2) Had fewer than 400 non-Model 1,
2, or 4 BPCI episodes as of October 1,
2015.
(3) Failed either or both of the
following rules regarding participation
in BPCI:
(i) More than 50 percent of eligible
episodes initiated in a BPCI Model 2 or
4 initiating hospital.
(ii) More than 50 percent of eligible
episodes that included SNF or HHA
services, where the SNF or HHA
services were furnished by a BPCI
Model 3 initiating HHA or SNF.
(4) For MSAs including both
Maryland and non-Maryland counties,
more than 50 percent of eligible
episodes were initiated at a Maryland
hospital.
Subpart C—Scope of Episodes
§ 510.200 Time periods, included and
excluded services, and attribution.
(a) Time periods. All episodes must
begin on or after April 1, 2016 and end
on or before December 31, 2020.
(b) Included services. All Medicare
Parts A and B items and services are
included in the episode, except as
specified in paragraph (d) of this
section. These services include, but are
not limited to, the following:
(1) Physicians’ services.
(2) Inpatient hospital services
(including hospital readmissions).
(3) IPF services.
(4) LTCH services.
(5) IRF services.
(6) SNF services.
(7) HHA services.
(8) Hospital outpatient services.
(9) Outpatient therapy services.
(10) Clinical laboratory services.
(11) DME.
(12) Part B drugs and biologicals.
(13) Hospice services.
(14) PBPM payments under models
tested under section 1115A of the Act.
(c) Episode attribution. All items and
services included in the episode are
attributed to the participant hospital at
which the anchor hospitalization
occurs.
(d) Excluded services. The following
items, services, and payments are
excluded from the episode:
(1) Hemophilia clotting factors
provided in accordance with § 412.115
of this chapter.
(2) New technology add-on payments,
as defined in part 412, subpart F of this
chapter.
(3) Transitional pass-through
payments for medical devices as defined
in § 419.66 of this chapter.
(4) Items and services unrelated to the
anchor hospitalization, as determined
by CMS. Excluded services include, but
are not limited to, the following:
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(i) Inpatient hospital admissions for
MS–DRGs that group to the following
categories of diagnoses:
(A) Oncology.
(B) Trauma medical.
(C) Chronic disease surgical, such as
prostatectomy.
(D) Acute disease surgical, such as
appendectomy.
(ii) Medicare Part B services, as
identified by the principal ICD–CM
diagnosis code on the claim (based on
the ICD–CM version in use during the
performance year) that group to the
following categories of diagnoses:
(A) Acute disease diagnoses, such as
severe head injury.
(B) Certain chronic disease diagnoses,
as specified by CMS on a diagnosis-bydiagnosis basis depending on whether
the condition was likely to have been
affected by the LEJR procedure and
recovery period or whether substantial
services were likely to be provided for
the chronic condition during the
episode. Such chronic disease diagnoses
are posted on the CMS Web site and
may be revised in accordance with
paragraph (e) of this section.
(iii) Certain PBPM payments under
models tested under section 1115A of
the Act. PBPM model payments that
CMS determines to be primarily used
for care coordination or care
management services for clinical
conditions in excluded categories of
diagnoses, as described in this
paragraph.
(A) The list of excluded PBPM
payments is posted on the CMS Web
site and are revised in accordance with
paragraph (e) of this section.
(B) Notwithstanding the foregoing, all
PBPM model payments funded from
CMS’ Innovation Center appropriation
are excluded from the episode.
(5) Certain incentive programs and
add on payments under existing
Medicare payment systems in
accordance with § 510.300(b)(6) of this
chapter.
(6) Payments for otherwise included
items and services in excess of 2
standard deviations above the mean
regional episode payment in accordance
with § 510.300(b)(5) of this chapter.
(e) Updating the lists of excluded
services. (1) The list of excluded MS–
DRGs, ICD–CM diagnosis codes, and
CMS model PBPM payments are posted
on the CMS Web site.
(2) On an annual basis, or more
frequently as needed, CMS updates the
list of excluded services to reflect
annual coding changes or other issues
brought to CMS’s attention.
(3) CMS applies the following
standards when revising the list of
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excluded services for reasons other than
to reflect annual coding changes:
(i) Items or services that are directly
related to the LEJR procedure or the
quality or safety of LEJR care would be
included in the episode.
(ii) Items or services for chronic
conditions that may be affected by the
LEJR procedure or post-surgical care
would be related and included in the
episode.
(iii) Items and services for chronic
conditions that are generally not
affected by the LEJR procedure or postsurgical care would be excluded from
the episode.
(iv) Items and services for acute
clinical conditions not arising from
existing, episode-related chronic
clinical conditions or complications of
LEJR surgery would be excluded from
the episode.
(v) PBPM payments under CMS
models determined to be primarily used
for care coordination or care
management services for clinical
conditions in excluded categories of
diagnoses, as described in § 510.200(d),
would be excluded from the episode.
(4) CMS posts the following to the
CMS Web site:
(i) Potential revisions to the exclusion
to allow for public comment; and
(ii) An updated exclusions list after
consideration of public comment.
§ 510.205
Beneficiary inclusion criteria.
(a) Episodes tested in the CJR model
include only those in which care is
furnished to beneficiaries who meet all
of the following criteria upon admission
to the anchor hospitalization:
(1) Are enrolled in Medicare Parts A
and Part B.
(2) Eligibility for Medicare is not on
the basis of end stage renal disease, as
described in § 406.13 of this chapter.
(3) Are not enrolled in any managed
care plan (for example, Medicare
Advantage, health care prepayment
plans, or cost-based health maintenance
organizations).
(4) Are not covered under a United
Mine Workers of America health care
plan.
(5) Have Medicare as their primary
payer.
(b) If at any time during the episode
a beneficiary no longer meets all of the
criteria in this section, the episode is
canceled in accordance with
§ 510.210(b).
§ 510.210
Determination of the episode.
(a) General. The episode begins with
the admission of a Medicare beneficiary
described in § 510.205 to a participant
hospital for an anchor hospitalization
and ends on the 90th day after the date
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of discharge, with the day of discharge
itself being counted as the first day in
the 90-day post-discharge period.
(b) Cancellation of an episode. The
episode is canceled and is not included
in the determination of NPRA as
specified in § 510.305 if the beneficiary
does any of the following during the
episode:
(1) Ceases to meet any criterion listed
in § 510.205.
(2) Is readmitted to any participant
hospital for another anchor
hospitalization.
(3) Initiates an LEJR episode under
BPCI.
(4) Dies.
Subpart D—Pricing and Payment
§ 510.300
prices.
Determination of episode target
(a) General. CMS establishes episode
target prices for participant hospitals for
each performance year of the model as
specified in this section. Episode target
prices are established according to the
following:
(1) MS–DRG assigned at discharge for
anchor hospitalization and presence of
hip fracture diagnosis for anchor
hospitalization—
(i) MS–DRG 469 with hip fracture;
(ii) MS–DRG 469 without hip fracture;
(iii) MS–DRG 470 with hip fracture; or
(iv) MS–DRG 470 without hip
fracture.
(2) Applicable time period for
performance year episode target prices.
Episode target prices are updated to
account for Medicare payment updates
no less than 2 times per year, for
updated episode target prices effective
October 1 and January 1, and at other
intervals if necessary.
(3) Episodes that straddle
performance years or payment updates.
The episode target price that applies to
the type of episode as of the date of
admission for the anchor hospitalization
is the episode target price that applies
to the episode.
(4) Adjustments for quality
performance, as specified in
§ 510.305(g).
(5) Identifying episodes with hip
fracture. CMS develops a list of ICD–CM
hip fracture diagnosis codes that, when
reported in the principal diagnosis code
files on the claim for the anchor
hospitalization, represent a bone
fracture for which a hip replacement
procedure, either a partial hip
arthroplasty or a total hip arthroplasty,
could be the primary surgical treatment.
The list of ICD–CM hip fracture
diagnosis codes used to identify hip
fracture episodes is posted on the CMS
Web site.
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(i) On an annual basis, or more
frequently as needed, CMS updates the
list of ICD–CM hip fracture diagnosis
codes to reflect coding changes or other
issues brought to CMS’ attention.
(ii) CMS applies the following
standards when revising the list of ICD–
CM hip fracture diagnosis codes.
(A) The ICD–CM diagnosis code is
sufficiently specific that it represents a
bone fracture for which a physician
could determine that a hip replacement
procedure, either a PHA or a THA,
could be the primary surgical treatment.
(B) The ICD–CM diagnosis code is the
primary reason (that is, principal
diagnosis code) for the anchor
hospitalization.
(iii) CMS posts the following to the
CMS Web site:
(A) Potential ICD–CM hip fracture
diagnosis codes for public comment;
and
(B) A final ICD–CM hip fracture
diagnosis code list after consideration of
public comment.
(b) Episode target price. (1) CMS
calculates episode target prices based on
a blend of each participant hospital’s
hospital-specific and regional episode
expenditures. The region corresponds to
the U.S. Census Division associated
with the primary address of the CCN of
the participant hospital and the regional
component is based on all hospitals in
said region, except as follows. In cases
where an MSA selected for participation
in CJR spans more than one U.S. Census
Division, the entire MSA will be
grouped into the U.S. Census Division
where the largest city by population in
the MSA is located for target price and
reconciliation calculations. The
calendar years used for historical
expenditure calculations are as follows:
(i) Episodes beginning in 2012
through 2014 for performance years 1
and 2.
(ii) Episodes beginning in 2014
through 2016 for performance years 3
and 4.
(iii) Episodes beginning in 2016
through 2018 for performance year 5.
(2) Specifically, the blend consists of
the following:
(i) Two-thirds of the participant
hospital’s own historical episode
payments and one-third of the regional
historical episode payments for
performance years 1 and 2.
(ii) One-third of the hospital’s own
historical episode payments and twothirds of the regional historical episode
payments for performance year 3.
(iii) Regional historical episode
payments for performance years 4 and 5.
(3) Exception for low-volume
hospitals. Episode target prices for
participant hospitals with fewer than 20
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CJR episodes in total across the 3
historical years of data used to calculate
the episode target price are based on 100
percent regional historical episode
payments.
(4) Exception for recently merged or
split hospitals. Hospital-specific
historical episode payments for
participant hospitals that have
undergone a merger, consolidation, spin
off or other reorganization that results in
a new hospital entity without 3 full
years of historical claims data are
determined using the historical episode
payments attributed to their
predecessor(s).
(5) Exception for high episode
spending. Episode payments are capped
at 2 standard deviations above the mean
regional episode payment for both the
hospital-specific and regional
components of the target price.
(6) Exclusion of incentive programs
and add-on payments under existing
Medicare payment systems. Certain
incentive programs and add-on
payments are excluded from historical
episode payments by using the CMS
Price (Payment) Standardization
Detailed Methodology used for the
Medicare spending per beneficiary
measure in the Hospital Value-Based
Purchasing Program.
(7) Communication of episode target
prices. CMS communicates episode
target prices to participant hospitals
before the performance period in which
they apply.
(c) Discount factor. A participant
hospital’s episode target prices
incorporate applicable discount factors
to reflect Medicare’s portion of reduced
expenditures from the CJR model as
described in this section.
(1) Discount factor for reconciliation
payments. The applicable discount
factor for reconciliation payments in all
performance years is 3.0 percent.
(2) Discount factors for repayment
amounts. The applicable discount factor
for repayment amounts are—
(i) Not applicable in performance year
1, as the requirement for hospital
repayment under the CJR model is
waived in performance year 1;
(ii) In performance years 2 and 3, 2.0
percent; and
(3) Discount factors affected by the
quality incentive payment and
composite performance years. In all
performance years, the discount factor
may be affected by the quality incentive
payment and composite quality score as
provided in § 510.315 to create a
different effective discount factor used
for calculating reconciliation payments
and repayment amounts.
(d) Data sharing. (1) CMS makes
available to participant hospitals,
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through the most appropriate means,
data that CMS determines may be useful
to participant hospitals to do the
following:
(i) Determine appropriate ways to
increase the coordination of care.
(ii) Improve quality.
(iii) Enhance efficiencies in the
delivery of care.
(iv) Otherwise achieve the goals of the
CJR model described in this section.
(2) Beneficiary-identifiable data. (i)
CMS makes beneficiary-identifiable data
available to a participant hospital in
accordance with applicable privacy
laws and only in response to the
hospital’s request for such data for a
beneficiary who has been furnished a
billable service by the participant
hospital corresponding to the episode
definitions for CJR.
(ii) The minimum data necessary to
achieve the goals of the CJR model, as
determined by CMS, may be provided
under this section for a participant
hospital’s baseline period and no less
frequently than on a quarterly basis
throughout the hospital’s participation
in the CJR model.
§ 510.305 Determination of the NPRA and
reconciliation process.
(a) General. Providers and suppliers
furnishing items and services included
in the episode bill for such items and
services in accordance with existing
rules and as if this part were not in
effect.
(b) Reconciliation. CMS uses a series
of reconciliation processes, which CMS
performs as described in paragraphs (d)
and (f) of this section after the end of
each performance year, to establish final
payment amounts to participant
hospitals for CJR episodes for a given
performance year. Following the end of
each performance year, CMS determines
actual episode payments for each
episode for the performance year (other
than episodes that have been canceled
in accordance with § 510.210(b)) and
determines the amount of a
reconciliation payment or repayment
amount.
(c) Data used. CMS uses the most
recent claims data available to perform
each reconciliation calculation.
(d) Annual reconciliation. (1)
Beginning 2 months after the end of
each performance year, CMS performs a
reconciliation calculation to establish an
NPRA for each participant hospital.
(2) CMS—
(i) Calculates the NPRA for each
participant hospital in accordance with
paragraph (e) of this section including
the adjustments provided for in
paragraph (e)(1)(iv) of this section; and
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(ii) Assesses whether hospitals meet
specified quality requirements under
§ 510.315.
(e) Calculation of the NPRA. By
comparing the episode target prices
described in § 510.300 and the
participant hospital’s actual episode
spending for the performance year and
applying the adjustments in paragraph
(e)(1)(v) of this section, CMS establishes
an NPRA for each participant hospital
for each performance year.
(1) Initial calculation. In calculating
the NPRA for each participant hospital
for each performance year, CMS does
the following:
(i) Determines actual episode
payments for each episode included in
the performance year (other than
episodes that have been canceled in
accordance with § 510.210(b)) using
claims data that is available 2 months
after the end of the performance year.
Actual episode payments are capped at
the amount determined in accordance
with § 510.300(b)(5) for the performance
year.
(ii) Multiplies each episode target
price, after applying any reduction to
the discount percentage as provided in
§ 510.315(f) by the number of episodes
included in the performance year (other
than episodes that have been canceled
in accordance with § 510.210(b)) to
which that episode target price applies.
(iii) Aggregates the amounts
computed in paragraph (e)(1)(ii) of this
section for all episodes included in the
performance year (other than episodes
that have been canceled in accordance
with § 510.210(b)).
(iv) Subtracts the amount determined
under paragraph (e)(1)(i) of this section
from the amount determined under
paragraph (e)(1)(iii) of this section.
(v) Makes the following adjustments:
(A) Increases in post-episode
spending. If the average post-episode
Medicare Parts A and B spending for a
participant hospital in any given
performance year is greater than 3
standard deviations above the regional
average post-episode spending for the
same performance year, then the
spending amount exceeding three
standard deviations above the regional
average post-episode spending for the
same performance year is applied to the
NPRA.
(B) Limitation on loss. Except as
provided in paragraph (e)(1)(v)(D) of
this section, the total amount any
participant hospital is responsible for
repaying to Medicare for a performance
year cannot exceed the following:
(1) For performance year 2 only, 5
percent of the amount calculated in
paragraph (e)(1)(iii) of this section for
the performance year.
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(2) For performance year 3, 10 percent
of the amount calculated in paragraph
(e)(1)(iii) of this section for the
performance year.
(3) For performance years 4, and 5, 20
percent of the amount calculated in
paragraph (e)(1)(iii) of this section for
the performance year.
(4) As provided in paragraph (h)(6)(i)
of this section, the subsequent
reconciliation calculation reassesses the
limitation on loss for a given
performance year by applying the
limitations on loss to the aggregate of
the 2 reconciliation calculations.
(C) Limitation on gain. The total
amount of any reconciliation payment
made to a participant hospital for a
performance year cannot exceed the
following:
(1) For performance years 1 and 2, 5
percent of the amount calculated in
paragraph (e)(1)(iii) of this section for
the performance year.
(2) For performance year 3, 10 percent
of the amount calculated in paragraph
(e)(1)(iii) of this section for the
performance year.
(3) For performance years 4, and 5, 20
percent of the amount calculated in
paragraph (e)(1)(iii) of this section for
the performance year.
(4) As provided in paragraph (h)(6)(i)
of this section, the subsequent
reconciliation calculation reassesses the
limitation on gain for a given
performance year by applying the
limitation on gain limits to the aggregate
of the two reconciliation calculations.
(D) Financial loss limits for rural
hospitals, SCHs, MDHs, and RRCs. If a
participant hospital is a rural hospital,
SCH, MDH or RRC, then for
performance year 2, the total repayment
amount for which the participant
hospital is responsible cannot exceed 3
percent of the amount calculated in
paragraph (e)(1)(iii) of this section. For
performance years 3 through 5, the total
repayment amount cannot exceed 5
percent of the amount calculated in
paragraph (e)(1)(iii) of this section.
(f) Determination of reconciliation or
repayment amount— (1) Determination
of the reconciliation or repayment
amount. (i) Subject to paragraph
(f)(1)(iii) of this section, for performance
year 1, the reconciliation payment (if
any) is equal to the NPRA.
(ii) Subject to paragraph (f)(1)(iii) of
this section, for performance years 2
through 5, results from the subsequent
reconciliation calculation for a prior
year’s reconciliation, as described in
paragraph (h)(6)(i) of this section, are
applied to the current year’s NPRA in
order to determine the reconciliation or
repayment amount.
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73545
(iii) The reconciliation or repayment
amount may be adjusted as provided in
§ 510.410(b)(5).
(2) Reconciliation payment. If the
amount described in paragraph (f)(1) of
this section is positive and the
composite quality score described in
§ 510.315 is acceptable (defined as
greater than or equal to 4.00), good
(defined as greater than or equal to 6.0
and less than or equal to 13.2), or
excellent (defined as greater than 13.2),
Medicare pays the participant hospital a
reconciliation payment in an amount
equal to the amount described in
paragraph (f)(1) of this section.
(3) Repayment amount. If the amount
described in paragraph (f)(1) of this
section is negative, the participant
hospital pays to Medicare an amount
equal to the amount described in
paragraph (f)(1) of this section, in
accordance with § 405.371 of this
chapter. CMS waives this requirement
for performance year 1.
(g) Determination of eligibility for
reconciliation based on quality. (1) CMS
assesses each participant hospital’s
performance on quality metrics, as
described in § 510.315, to determine
whether the participant hospital is
eligible to receive a reconciliation
payment for a performance year.
(2) If the hospital’s composite quality
score described in § 510.315 is
acceptable (defined as greater than or
equal to 4.00), good (defined as greater
than or equal to 6.0 and less than or
equal to 13.2), or excellent (defined as
greater than 13.2), and the hospital is
determined to have a positive NPRA
under § 510.305(e)), the hospital is
eligible for a reconciliation payment.
(3) If the hospital’s composite quality
score described in § 510.315 is below
acceptable, defined as less than 4.00 for
a performance year, the hospital is not
eligible for a reconciliation payment.
(4) If the hospital is found to be
engaged in an inappropriate and
systemic under delivery of care, the
quality of the care provided must be
considered to be seriously compromised
and the hospital must be ineligible to
receive or retain a reconciliation
payment for any period in which such
under delivery of care was found to
occur.
(h) Reconciliation report. CMS issues
each participant hospital a CJR
reconciliation report for the
performance year. Each CJR
reconciliation report contains the
following:
(1) Information on the participant
hospital’s composite quality score
described in § 510.315.
(2) The total actual episode payments
for the participant hospital.
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(3) The NPRA.
(4) Whether the participant hospital is
eligible for a reconciliation payment or
must make a repayment to Medicare.
(5) The NPRA and subsequent
reconciliation calculation amount for
the previous performance year, as
applicable.
(6) The reconciliation payment or
repayment amount.
(i) Subsequent reconciliation
calculation. (A) Fourteen months after
the end of each performance year, CMS
performs an additional calculation,
using claims data available at that time,
to account for final claims run-out and
any additional overlap between the CJR
model and other CMS models and
programs as described in paragraph
(h)(6)(i)(B) of this section.
(B) The subsequent reconciliation
calculation accounts for cases in which
a portion of the CJR discount percentage
is paid out to an ACO as shared savings
by reducing the reconciliation payment
amount for a CJR hospital, if available,
by the amount of the discount
percentage paid out to the ACO as
shared savings. This adjustment is only
made when the participant hospital is a
participant or provider/supplier in the
ACO and the beneficiary in the CJR
episode is assigned to one of the
following ACO models or program:
(1) The Pioneer ACO model.
(2) The Medicare Shared Savings
Program.
(3) The Next Generation ACO model.
(4) The Comprehensive ESRD Care
Initiative.
(C) The additional calculation occurs
concurrently with the reconciliation
process for the most recent performance
year. If the result of the subsequent
calculation is different than zero, CMS
applies the stop-loss and stop-gain
limits in paragraph (e) of this section to
the calculations in aggregate for that
performance year (the initial
reconciliation and the subsequent
calculation) to ensure the amount does
not exceed the stop-loss or stop-gain
limits. CMS then applies the subsequent
calculation amount to the NPRA for the
most recent performance year in order
to determine the reconciliation amount
or repayment amount for the most
recent performance year. Because
hospitals will not have financial
repayment responsibility for
performance year 1, for the performance
year 2 reconciliation report only, the
subsequent calculation amount (for
performance year 1) is applied to the
performance year 1 NPRA to ensure that
the combined amount is not less than 0.
If the combined performance year 1
NPRA and subsequent calculation for
performance year 1 is less than 0, the
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subsequent calculation amount would
be capped at the value that would result
in a net amount of 0 for the combined
performance year 1 NPRA and
subsequent calculation.
§ 510.310
Appeals process.
(a) Notice of calculation error (first
level of appeal). Subject to the
limitations on review in subpart d of
this part, if a participant hospital wishes
to dispute the calculation that involves
a matter related to payment,
reconciliation amounts, repayment
amounts, or determinations associated
with quality measures affecting
payment, the hospital is required to
provide written notice of the error, in a
form and manner specified by CMS.
(1) Unless the participant hospital
provides such notice, the CJR
reconciliation report is deemed final 45
calendar days after it is issued.
(2) If CMS receives a timely notice of
a calculation error, CMS responds in
writing within 30 calendar days to
either confirm that there was an error in
the calculation or verify that the
calculation is correct, although CMS
reserves the right to an extension upon
written notice to the participant
hospital.
(3) If a participant hospital does not
submit timely notice of a calculation
error in accordance with the timelines
and processes specified by CMS, then
CMS deems final the CJR reconciliation
report and proceeds with the payment
or repayment processes, as applicable.
(4) Only participant hospitals may use
the dispute resolution process described
in this part.
(b) Dispute resolution process (second
level of appeal). (1) If the participant
hospital is dissatisfied with CMS’s
response to the notice of a calculation
error, the participant hospital may
request a reconsideration review in a
form and manner as specified by CMS.
(2) The reconsideration review
request must provide a detailed
explanation of the basis for the dispute
and include supporting documentation
for the participant hospital’s assertion
that CMS or its representatives did not
accurately calculate the NPRA, the
reconciliation payment, or the
repayment amount in accordance with
§ 510.305.
(3) If CMS does not receive a request
for reconsideration from the participant
hospital within 10 calendar days of the
issue date of CMS’s response to the
participant hospital’s notice of
calculation error, then CMS’s response
to the calculation error is deemed final
and CMS proceeds with reconciliation
payment or repayment processes, as
applicable, as described in § 510.305.
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(4) A CMS reconsideration official
notifies the participant hospital in
writing within 15 calendar days of
receiving the participant hospital’s
review request of the following:
(i) The date, time, and location of the
review.
(ii) The issues in dispute.
(iii) The review procedures.
(iv) The procedures (including format
and deadlines) for submission of
evidence.
(5) The CMS reconsideration official
takes all reasonable efforts to schedule
the review to occur no later than 30
days after the date of receipt of the
notification.
(6) The provisions at § 425.804(b), (c),
and (e) of this chapter are applicable to
reviews conducted in accordance with
the reconsideration review process for
CJR.
(7) The CMS reconsideration official
issues a written determination within 30
days of the review. The determination is
final and binding.
(c) Exception to the process. If the
participant hospital contests a matter
that does not involve an issue contained
in, or a calculation which contributes to,
a CJR reconciliation report, a notice of
calculation error is not required. An
example of such a matter is termination
of the participant hospital from the
model. In those instances, if CMS does
not receive a request for reconsideration
from the participant hospital within 10
calendar days of the notice of the initial
determination, the initial determination
is deemed final and CMS proceeds with
action indicated in the initial
determination.
(d) Limitations on review. In
accordance with section 1115A(d)(2) of
the Act, there is no administrative or
judicial review under sections 1869 or
1878 of the Act or otherwise for the
following:
(1) The selection of models for testing
or expansion under section 1115A of the
Act.
(2) The selection of organizations,
sites, or participants to test those
models selected.
(3) The elements, parameters, scope,
and duration of such models for testing
or dissemination.
(4) Determinations regarding budget
neutrality under section 1115A(b)(3) of
Act.
(5) The termination or modification of
the design and implementation of a
model under section 1115A(b)(3)(B) of
Act.
(6) Decisions about expansion of the
duration and scope of a model under
section 1115A(c) of the Act, including
the determination that a model is not
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expected to meet criteria described in
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§ 510.315 Composite quality scores for
determining reconciliation payment
eligibility and quality incentive payments.
(a) General. A participant hospital’s
eligibility for a reconciliation payment
under § 510.305(g), and the
determination of quality incentive
payments under paragraph (f) of this
section, for a performance year depend
on the hospital’s composite quality
score (including any quality
performance points and quality
improvement points earned) for that
performance year.
(b) Composite quality score. CMS
calculates a composite quality score for
each participant hospital for each
performance year, which equals the sum
of the following:
(1) The hospital’s quality performance
points for the hospital-level riskstandardized complication rate
following elective primary total hip
arthroplasty and/or total knee
arthroplasty measure (NQF #1550)
described in § 510.400(a)(1). This
measure is weighted at 50 percent of the
composite quality score.
(2) The hospital’s quality performance
points for the Hospital Consumer
Assessment of Healthcare Providers and
Systems Survey measure (NQF #0166)
described in § 510.400(a)(2). This
measure is weighted at 40 percent of the
composite quality score.
(3) Any additional quality
improvement points the hospital may
earn as a result of demonstrating
improvement on either or both of the
quality measures in paragraphs (b)(1)
and (2) of this section, as described in
paragraph (d) of this section.
(4) If applicable, 2 additional points
for successful THA/TKA voluntary data
submission of patient-reported
outcomes and limited risk variable data,
as described in § 510.400(b). Successful
submission is weighted at 10 percent of
the composite quality score.
(c) Quality performance points. CMS
computes quality performance points
for each quality measure based on the
participant hospital’s performance
percentile relative to the national
distribution of all hospitals’
performance on that measure.
(1) For the hospital-level riskstandardized complication rate
following elective primary total hip
arthroplasty and/or total knee
arthroplasty measure (NQF #1550)
described in § 510.400(a)(1), CMS
assigns the participant hospital measure
value to a performance percentile and
then quality performance points are
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assigned based on the following
performance percentile scale:
(i) 10.00 points for ≥90th.
(ii) 9.25 points for ≥80th and <90th.
(iii) 8.50 points for ≥70th and <80th;
(iv) 7.75 points for ≥60th and <70th.
(v) 7.00 points for ≥50th and <60th.
(vi) 6.25 points for ≥40th and <50th.
(vii) 5.50 points for ≥30th and <40th.
(ix) 0.0 points for <30th.
(2) For the Hospital Consumer
Assessment of Healthcare Providers and
Systems Survey measure (NQF #0166)
described in § 510.400(a)(2), CMS
assigns the participant hospital measure
value to a performance percentile and
quality performance points are assigned
based on the following performance
percentile scale:
(i) 8.00 points for ≥90th.
(ii) 7.40 points for ≥80th and <90th.
(iii) 6.80 points for ≥70th and <80th.
(iv) 6.20 points for ≥60th and <70th.
(v) 5.60 points for ≥50th and <60th.
(vi) 5.00 points for ≥40th and <50th.
(vii) 4.40 points for ≥30th and <40th.
(ix) 0.0 points for <30th.
(d) Quality improvement points. If a
participant hospital’s quality
performance percentile on an individual
measure described in § 510.400(a)
increases from the previous
performance year by at least 3 deciles on
the performance percentile scale, then
the hospital is eligible to receive quality
improvement points equal to 10 percent
of the total available points for that
individual measure.
(e) Exception for hospitals without a
measure value. In the case of a
participant hospital without a measure
value that would allow CMS to assign
quality performance points for that
quality measure, CMS assigns the 50th
percentile quality performance points to
the hospital for the individual measure.
(1) A participant hospital will not
have a measure value for the—
(i) Hospital-level risk-standardized
complication rate following elective
primary total hip arthroplasty and/or
total knee arthroplasty measure (NQF
#1550) described in § 510.400(a)(1) if
the hospital does not meet the minimum
25 case count; or
(ii) Hospital Consumer Assessment of
Healthcare Providers and Systems
Survey measure (NQF #0166) described
in § 510.400(a)(2) if the hospital does
not meet the minimum of 100
completed survey and does not have 4
consecutive quarters of HCAHPS data.
(ii) For either of the measures
described in paragraphs (e)(1) or (2) of
this section, if CMS identifies an error
in the data used to calculate the
measure and suppresses the measure
value.
(f) Quality incentive payments. CMS
provides incentive payments to
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73547
participant hospitals that demonstrate
good or excellent quality performance
on the composite quality scores
described in paragraph (b) of this
section. These incentive payments are
implemented in the form of the
following reductions to the applicable
discount factors described in
§ 510.300(c):
(1) A 1.0 percentage point reduction
to the applicable discount factor for
participant hospitals with good quality
performance, defined as composite
quality scores that are greater than or
equal to 6.0 and less than or equal to
13.2.
(2) A 1.5 percentage point reduction
to the applicable discount factor for
participant hospitals with excellent
quality performance, defined as
composite quality scores that are greater
than 13.2.
§ 510.320 Treatment of incentive programs
or add-on payments under existing
Medicare payment systems.
The CJR model does not replace any
existing Medicare incentive programs or
add-on payments. The target price and
NPRA for a participant hospital are
independent of, and do not affect, any
incentive programs or add-on payments
under existing Medicare payment
systems.
§ 510.325 Allocation of payments for
services that straddle the episode.
(a) General. Services included in the
episode that straddle the episode are
prorated so that only the portion
attributable to care furnished during the
episode are included in the calculation
of actual episode payments.
(b) Proration of services. Payments for
services that straddle the episode are
prorated using the following
methodology:
(1) Non-IPPS inpatient services and
other inpatient services. Non-IPPS
inpatient services, and services
furnished by other inpatient providers
that extend beyond the end of the
episode are prorated according to the
percentage of the actual length of stay
(in days) that falls within the episode.
(2) Home health agency services.
Home health services paid under the
prospective payment system in part 484,
subpart E of this chapter are prorated
according to the percentage of days,
starting with the first billable service
date (‘‘start of care date’’) and through
and including the last billable service
date, that occur during the episode. This
methodology is applied in the same way
if the home health services begin (the
start of care date) prior to the start of the
episode.
(3) IPPS services. IPPS claim amounts
that extend beyond the end of the
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episode are prorated according to the
geometric mean length of stay, using the
following methodology:
(i) The first day of the IPPS stay is
counted as 2 days.
(ii) If the actual length of stay that
occurred during the episode is equal to
or greater than the MS–DRG geometric
mean, the normal MS–DRG payment is
fully allocated to the episode.
(iii) If the actual length of stay that
occurred during the episode is less than
the geometric mean, the normal MS–
DRG payment amount is allocated to the
episode based on the number of
inpatient days that fall within the
episode.
(iv) If the full amount is not allocated
to the episode, any remainder amount is
allocated to the post-episode spending
calculation (defined in § 510.2).
Subpart E—Quality Measures,
Beneficiary Protections, and
Compliance Enforcement
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§ 510.400
Quality measures and reporting.
(a) Reporting of quality measures. The
following quality measures are used for
public reporting, for determining
whether a participant hospital is eligible
for reconciliation payments under
§ 510.305(g), and whether a participant
hospital is eligible for quality incentive
payments under § 510.315(f) in the
performance year:
(1) Hospital-level risk-standardized
complication rate following elective
primary total hip arthroplasty and/or
total knee arthroplasty.
(2) Hospital Consumer Assessment of
Healthcare Providers and Systems
Survey.
(b) Requirements for successful
voluntary data submission of patientreported outcomes and limited risk
variable data. To be eligible to receive
the additional points added to the
composite quality score for successful
voluntary data submission of patientreported outcomes and limited risk
variable data, as described in
§ 510.315(b)(4), participant hospitals
must submit the THA/TKA patientreported outcome and limited risk
variable data requested by CMS related
to the pre- and post-operative periods
for elective primary total hip and/or
total knee arthroplasty procedures. The
data must be submitted within 60 days
of the end of the most recent
performance period and be
accompanied by the patient-reported
outcomes and limited risk variable data
(eleven elements finalized) as outlined
in § 510.315(b)(4).
(1) For each eligible procedure all
eleven risk variable data elements are
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required to be submitted. The eleven
risk variables are as follows:
(i) Date of birth.
(ii) Race.
(iii) Ethnicity.
(iv) Date of admission to anchor
hospitalization.
(v) Date of eligible THA/TKA
procedure.
(vi) Medicare Health Insurance Claim
Number.
(vii) Body mass index.
(viii) Use of chronic (≥90 day)
narcotics.
(ix) Total painful joint count.
(x) Quantified spinal pain.
(xi) Single Item Health Literacy
Screening (SILS2) questionnaire.
(2) Hospitals must also submit the
amount of requested THA/TKA patientreported outcomes data required for
each year of the model in order to be
considered successful in submitting
voluntary data.
(i) The amount of requested THA/
TKA patient-reported outcomes data to
submit, in order to be considered
successful will increase each
subsequent year of the model over the
5 years of the model.
(ii) A phase-in approach that
determines the amount of requested
THA/TKA patient-reported outcomes
data to submit over the 5 years of the
program will be applied so that in year
1 successful submission of data would
mean CMS received all requested THA/
TKA patient-reported outcomes and
limited risk variable data on both of the
following:
(A) Greater than or equal to 50 percent
of eligible procedures or greater than or
equal to 50 eligible patients during the
data collection period.
(B) Submission of requested THA/
TKA PRO and limited risk variable data
is completed within 60 days of the most
recent performance period.
(3) For years 1 through 5 of the model
an increasing amount of data is
requested by CMS for each performance
period as follows:
(i) Year 1 (2016). Submit pre-operative
data on primary elective THA/TKA
procedures for ≥50% or ≥50 eligible
procedures performed between July 1,
2016 and August 31, 2016, unless CMS
requests a more limited data set, in
which case, submit all requested data
elements.
(ii) Year 2 (2017). Submit—
(A) Post-operative data on primary
elective THA/TKA procedures for
≥50% or ≥50 eligible procedures
performed between July 1, 2016 through
August 31, 2016; and
(B) Pre-operative data on primary
elective THA/TKA procedures for
≥60% or ≥75 procedures performed
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between September 1, 2016 through
June 30, 2017, unless CMS requests a
more limited data set, in which case,
submit all requested data elements.
(iii) Year 3 (2018). Submit—
(A) POST-operative data on primary
elective THA/TKA procedures for
≥60% or ≥75 procedures performed
between September 1, 2016 and June 30,
2017; and
(B) Pre-operative data on primary
elective THA/TKA procedures for
≥70% or ≥100 procedures performed
between July 1, 2017 and June 30, 2018,
unless CMS requests a more limited
data set, in which case, submit all
requested data elements.
(iv) Year 4 (2019). Submit—
(A) Post-operative data on primary
elective THA/TKA procedures for
≥70% or ≥100 procedures performed
between July 1, 2017 and June 30, 2018;
and
(B) Pre-operative data on primary
elective THA/TKA procedures for
≥80% or ≥200 procedures performed
between July 1, 2018 and June 30, 2019,
unless CMS requests a more limited
data set, in which case, submit all
requested data elements.
(v) Year 5 (2020). Submit—
(A) Post-operative data on primary
elective THA/TKA procedures for
≥80% or ≥200 procedures performed
between July 1, 2018 and June 30, 2019
and
(B) Pre-operative data on primary
elective THA/TKA procedures for
≥80% or ≥200 procedures performed
between July 1, 2019 and June 30, 2020,
unless CMS requests a more limited
data set, in which case, submit all
requested data elements.
(c) Public reporting. CMS—
(1) Makes the quality measurement
results calculated for the complication
and patient survey quality measures
described in paragraph (a) of this
section for each participant hospital in
each performance year publicly
available on the CMS Web site in a form
and manner as determined by CMS;
(2) Shares each participant hospital’s
quality metrics with the hospital prior
to display on the Web site; and
(3) Does not publicly report the
voluntary patient-reported outcomes
and limited risk variable data during
this model, but does indicate whether a
hospital has voluntarily submitted such
data.
§ 510.405 Beneficiary choice and
beneficiary notification.
(a) Beneficiary choice. The CJR model
does not restrict Medicare beneficiaries’
ability to choose any Medicare enrolled
provider or supplier, or any physician
or practitioner who has opted out of
Medicare.
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(1) As part of discharge planning and
referral, participant hospitals must
inform beneficiaries of all Medicare
participating post-acute care providers
in an area and must identify those postacute care providers with whom they
have sharing arrangements. Participant
hospitals may recommend preferred
providers and suppliers, consistent with
applicable statutes and regulations.
Participant hospitals may not limit
beneficiary choice to any list of
providers or suppliers in any manner
other than that permitted under
applicable statutes and regulations.
Participant hospitals must respect
patient and family preferences when
they are expressed.
(2) Participant hospitals may not
charge any CJR collaborator a fee to be
included on any list of preferred
providers or suppliers, nor may the
participant hospital accept such
payments.
(b) Required beneficiary notification—
(1) Hospital detailed notification. Each
participant hospital must provide
written notice to any Medicare
beneficiary that meets the criteria in
§ 510.205 of his or her inclusion in the
CJR model. The notice must be upon
admission to the participant hospital or
immediately following the decision to
schedule an LEJR surgery, whichever
occurs later. The beneficiary notification
must contain all of the following:
(i) A detailed explanation of the
model and how it might be expected to
affect the beneficiary’s care.
(ii) Notification that the beneficiary
retains freedom of choice to choose
providers and services.
(iii) Explanation of how patients can
access care records and claims data
through an available patient portal, and
how they can share access to their Blue
Button® electronic health information
with caregivers.
(iv) A statement that all existing
Medicare beneficiary protections
continue to be available to the
beneficiary. These include the ability to
report concerns of substandard care to
Quality Improvement Organizations and
1–800–MEDICARE.
(v) A list of the providers and
suppliers with whom the participant
hospital has a collaborator agreement.
(2) Physician provision of notice. A
participant hospital must require any
physician that is a CJR collaborator to
provide written notice of the structure
of the model and the existence of the
physician’s sharing arrangement with
the participant hospital to any Medicare
beneficiary that meets the criteria
specified in § 510.205. The notice must
be provided at the time that the decision
to undergo LEJR surgery is made.
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(3) PAC provider/supplier
notification. A participant hospital must
require any provider or supplier, other
than the treating physician discussed in
paragraph (b)(2) of this section, with
whom it has executed a collaborator
agreement to provide written notice of
the existence of its sharing arrangement
with the participant hospital to any
Medicare beneficiary that meets the
criteria specified in § 510.205. The
notice must be provided no later than
the time at which the beneficiary first
receives services from the provider or
supplier during the CJR episode.
(4) Discharge planning notice. A
participant hospital must provide the
beneficiary with a written notice of any
potential financial liability, associated
with non-covered services
recommended or presented as an option
as part of discharge planning, no later
than the time that the beneficiary
discusses a particular PAC option or at
the time the beneficiary is discharged,
whichever occurs earlier.
(i) If the hospital knows or should
have known that the beneficiary is
considering or has decided to receive a
non-covered post-acute service or other
non-covered associated service or
supply, the hospital must notify the
beneficiary that the service would not
be covered by Medicare.
(ii) If the hospital is discharging a
beneficiary to a SNF prior to the
occurrence of a 3 day hospital stay, and
the beneficiary is being transferred to or
is considering a SNF that would not
qualify under the SNF 3-day waiver in
§ 510.610, the hospital notify the
beneficiary in accordance with
paragraph (b)(4)(i) of this section that
the beneficiary will be responsible for
costs associated with that stay except
those which would be covered by
Medicare Part B during a non-covered
inpatient SNF stay.
§ 510.410
Compliance enforcement.
(a) General. Participant hospitals must
comply with all of the requirements
outlined in this part. Except as
specifically noted in this part, the
regulations under this part must not be
construed to affect the payment,
coverage, program integrity, or other
requirements (such as those in parts 412
and 482 of this chapter) that apply to
providers and suppliers under this
chapter.
(b) Failure to comply. (1) CMS may
take one or more of the remedial actions
set forth in paragraph (b)(2) of this
section if a participant hospital or any
of the participant hospital’s CJR
collaborators—
(i) Fails to comply with any
applicable requirements of this part or
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73549
is identified as noncompliant through
monitoring by HHS (including CMS and
OIG) of the CJR model, including but
not limited to the following:
(A) Avoiding potentially high cost
patients.
(B) Targeting potentially low cost
patients.
(C) Failing to provide medically
appropriate services or systematically
engaging in the over or under delivery
of appropriate care.
(D) Failing to provide beneficiaries
with complete and accurate
information, including required notices.
(E) Failing to allow beneficiary choice
of medically necessary options,
including non-surgical options.
(F) Failing to follow the requirements
related to collaborator agreements;
(ii) Has signed a collaborator
agreement with a CJR collaborator if the
agreement is noncompliant with the
requirements of this part;
(iii) Takes any action that threatens
the health or safety of patients;
(iv) Avoids at-risk Medicare
beneficiaries, as this term is defined in
§ 425.20;
(v) Avoids patients on the basis of
payer status;
(vi) Is subject to sanctions or final
actions of an accrediting organization or
federal, state, or local government
agency that could lead to the inability
to comply with the requirements and
provisions of this part;
(vii) Takes any action that CMS
determines for program integrity reasons
is not in the best interests of the CJR
model, or fails to take any action that
CMS determines for program integrity
reasons should have been taken to
further the best interests of the CJR
model;
(viii) Is subject to action by HHS
(including OIG and CMS) or the
Department of Justice to redress an
allegation of fraud or significant
misconduct, including intervening in a
False Claims Act qui tam matter, issuing
a pre-demand or demand letter under a
civil sanction authority, or similar
actions; or
(ix) Is subject to action involving
violations of the physician self-referral
law, civil monetary penalties law,
federal anti-kickback statute, antitrust
laws, or any other applicable Medicare
laws, rules, or regulations that are
relevant to the CJR model.
(2) Remedial actions include the
following:
(i) Issue a warning letter to the
participant hospital.
(ii) Require the participant hospital to
develop a corrective action plan,
commonly referred to as a CAP.
(iii) Reduce or eliminate a participant
hospital’s reconciliation payment.
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(iv) Require a participant hospital to
terminate a collaborator agreement with
a CJR collaborator and prohibit further
engagement in the CJR model by that
CJR collaborator.
(v) Terminate the participant
hospital’s participation in the CJR
model.
(3) CMS may add 25 percent to a
repayment amount on a participant
hospital’s reconciliation report if all of
the following criteria are satisfied:
(i) CMS has required a corrective
action plan from a participant hospital.
(ii) The participant hospital is not due
a positive reconciliation payment but
instead owes a repayment amount to
CMS.
(iii) The participant hospital fails to
timely comply with the corrective
action plan or is noncompliant with the
model’s requirements.
Subpart F—Financial Arrangements
and Beneficiary Incentives
mstockstill on DSK4VPTVN1PROD with RULES2
§ 510.500 Financial arrangements under
the CJR model.
(a) General. (1) A participant hospital
may elect to enter into sharing
arrangements.
(2) A participant hospital must not
make a gainsharing payment or receive
an alignment payment except in
accordance with a sharing arrangement.
Any gainsharing payments or alignment
payments made in accordance with a
sharing arrangement must be made only
from the participant hospital to the CJR
collaborator with whom the participant
hospital has signed a collaborator
agreement containing a sharing
arrangement.
(3) CMS may review any sharing
arrangement for compliance with the
requirements of this part and to ensure
that it does not pose a risk to beneficiary
access, beneficiary freedom of choice, or
quality of care.
(4) The participant hospital has
ultimate responsibility for fully
complying with all provisions of the CJR
model.
(5) If a participant hospital enters into
a sharing arrangement, it must update
its compliance program to include
oversight of sharing arrangements and
compliance with the requirements of the
CJR model.
(6) The board or other governing body
of the participant hospital must have
responsibility for overseeing the
participant hospital’s participation in
the CJR model, its arrangements with
CJR collaborators, its payment of
gainsharing payments and receipt of
alignment payments, and its use of
beneficiary incentives in the CJR model.
(7) Participant hospitals must develop
and maintain a written set of policies for
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selecting providers and suppliers for
sharing gains and risk as CJR
collaborators. This set of policies must
contain criteria for selection of CJR
collaborators related to, and inclusive
of, the quality of care to be delivered by
the CJR collaborator to beneficiaries
during a CJR episode. The selection
criteria cannot be based directly or
indirectly on the volume or value of
referrals or business otherwise
generated by, between or among the
participant hospital, CJR collaborators,
and any individual or entity affiliated
with a participant hospital or CJR
collaborator. All collaborator
agreements must require the CJR
collaborator to have met, or agree to
meet, the quality criteria for selection.
(b) Sharing arrangement
requirements. Each sharing arrangement
must comply with the following criteria:
(1) The sharing arrangement must be
set forth in a collaborator agreement that
complies with the requirements of
paragraph (c) of this section.
(2) The sharing arrangement must
comply with all relevant laws and
regulations, including the applicable
fraud and abuse laws and all applicable
payment and coverage requirements.
(3) An individual or entity’s
participation in a sharing arrangement
must be voluntary and without penalty
for nonparticipation.
(4) The parties must enter into a
sharing arrangement before care is
furnished to CJR beneficiaries under the
terms of the sharing arrangement.
(5)(i) To be eligible to receive a
gainsharing payment, a CJR collaborator
must meet quality criteria for the
calendar year for which the gainsharing
payment is determined by the
participant hospital. The quality criteria
must be established by the participant
hospital and directly related to CJR
episodes of care.
(ii) To be eligible to receive a
gainsharing payment or make an
alignment payment, a CJR collaborator
other than a PGP must directly furnish
a billable service to a CJR beneficiary
during a CJR episode that occurred in
the calendar year in which the savings
or loss was created.
(iii) To be eligible to receive a
gainsharing payment, a PGP that is a
CJR collaborator must meet the
following criteria:
(A) The PGP must have billed for an
item or service that was rendered by one
or more members of the PGP to a CJR
beneficiary during a CJR episode that
occurred during the calendar year in
which the participant hospital’s internal
cost savings was generated, or to which
the NPRA applied, the latter of which is
contained in a reconciliation payment.
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(B) The PGP must contribute to a
participant hospital’s care redesign in
the CJR model and be clinically
involved in the care of CJR beneficiaries.
The following is a non-exhaustive list of
ways in which a PGP might be clinically
involved in the care of CJR beneficiaries:
(1) Provide care coordination services
to CJR beneficiaries during and/or after
inpatient admission.
(2) Engage with a participant hospital
in care redesign strategies, and actually
perform a role in implementing such
strategies, that are designed to improve
the quality of care for LEJR episodes and
reduce the LEJR episode spending.
(3) In coordination with other
providers and suppliers (such as
members of the PGP, participant
hospitals, post-acute care providers),
implement strategies designed to
address and manage the comorbidities
of CJR beneficiaries.
(6) No entity or individual, whether a
party to a collaborator agreement or not,
may condition the opportunity to make
or receive gainsharing payments or to
make or receive alignment payments on
the volume or value of referrals or
business otherwise generated by,
between or among the participant
hospital, CJR collaborators, and any
individual or entity affiliated with a
participant hospital or CJR collaborator.
(7) Gainsharing payments, if any,
must be—
(i) Derived solely from reconciliation
payments, or internal cost savings, or
both;
(ii) Actually and proportionally
related to the care of beneficiaries in a
CJR episode;
(iii) Distributed on an annual basis
(not more than once per calendar year);
(iv) Not be a loan, advance payments,
or payments for referrals or other
business; and
(v) Be clearly identified and comply
with all provisions in this part, as well
as all applicable laws, statutes, and
rules.
(8) Alignment payments from a CJR
collaborator to a participant hospital
may be made at any interval that is
agreed upon by both parties, and must—
(i) Not be issued, distributed, or paid
prior to the calculation by CMS of a
repayment amount reflected in a
reconciliation report; and
(ii) Not be a loan, advance payments,
or payments for referrals or other
business.
(9) A participant hospital must not
make a gainsharing payment to a CJR
collaborator that is subject to any action
for noncompliance with this part or the
fraud and abuse laws, or for the
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provision of substandard care in CJR
episodes or other integrity problems.
(10) In a calendar year, the aggregate
amount of all gainsharing payments
distributed by a participant hospital that
are derived from a CJR reconciliation
payment may not exceed the amount of
the reconciliation payment the
participant hospital receives from CMS.
(11) In a calendar year, the aggregate
amount of all alignment payments
received by the participant hospital
must not exceed 50 percent of the
participant hospital’s repayment
amount. No alignment payments may be
collected by a participant hospital if it
does not owe a repayment amount.
(12) The aggregate amount of all
alignment payments from any one CJR
collaborator to a participant hospital
must not be greater than 25 percent of
the participant hospital’s repayment
amount.
(13) A sharing arrangement must not
induce the participant hospital, CJR
collaborator, or any employees or
contractors of the participant hospital or
CJR collaborator to reduce or limit
medically necessary services to any
Medicare beneficiary.
(14) A sharing arrangement must not
restrict the ability of a CJR collaborator
to make decisions in the best interests
of its patients, including the selection of
devices, supplies, and treatments.
(15) The methodology for determining
gainsharing payments must be based, at
least in part, on criteria related to, and
inclusive of, the quality of care to be
delivered to CJR beneficiaries during an
episode and must not directly account
for the volume or value of referrals or
business otherwise generated by,
between or among the participant
hospital, CJR collaborators, and any
individual or entity affiliated with a
participant hospital or CJR collaborator.
(16) The methodology for determining
alignment payments must not directly
account for the volume or value of
referrals or business otherwise
generated by, between or among the
participant hospital, CJR collaborators,
and any individual or entity affiliated
with a participant hospital or CJR
collaborator.
(17) The total amount of a gainsharing
payment for a calendar year paid to an
individual physician or nonphysician
practitioner who is a CJR collaborator
must not exceed 50 percent of the total
Medicare approved amounts under the
Physician Fee Schedule (PFS) for
services furnished to the participant
hospital’s CJR beneficiaries during a CJR
episode by that physician or
nonphysician practitioner.
(18) The total amount of gainsharing
payments for a calendar year paid to a
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PGP that is a CJR collaborator must not
exceed 50 percent of the total Medicare
approved amounts under the Physician
Fee Schedule for services that are billed
by the PGP and furnished during a
calendar year by members of the PGP to
the participant hospital’s CJR
beneficiaries during CJR episodes.
(19) The participant hospital’s
determination of internal cost savings
must satisfy the following criteria:
(i) Internal cost savings are calculated
in accordance with generally accepted
accounting principles and Government
Auditing Standards (The Yellow Book).
(ii) All amounts determined to be
internal cost savings must reflect actual,
internal cost savings achieved by the
participant hospital through
implementation of care redesign
elements identified and documented by
the participant hospital. Internal cost
savings does not include savings
realized by any individual or entity that
is not the participant hospital.
(iii) Internal cost savings may not
reflect ‘‘paper’’ savings from accounting
conventions or past investment in fixed
costs.
(20) All gainsharing payments and
any alignment payments must meet the
requirements set forth in this section
and be administered by the participant
hospital in accordance with generally
accepted accounting principles. In no
event may the participant hospital
receive any amounts from a CJR
collaborator under a sharing
arrangement that are not alignment
payments.
(21) All gainsharing payments and
alignment payments must be made
through EFT.
(c) Contents of collaborator
agreement. Each collaborator agreement
must satisfy the following criteria:
(1) The collaborator agreement must
contain a description of the sharing
arrangement between the participant
hospital and the CJR collaborator
regarding gainsharing payments and
alignment payments. This description
must specify the following:
(i) The parties to the sharing
arrangement.
(ii) The date of the sharing
arrangement.
(iii) The purpose and scope of the
sharing arrangement.
(iv) The financial or economic terms
of the sharing arrangement, including
the frequency of payment, and the
methodology and accounting formula
for determining the amount of any
gainsharing payment or alignment
payment.
(v) Safeguards to ensure that
alignment payments are made solely for
purposes related to sharing
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responsibility for funds needed to repay
Medicare in the CJR model.
(vi) Plans regarding care redesign.
(vii) Changes in care coordination or
delivery that is applied to the
participant hospital or CJR collaborators
or both.
(viii) A description of how success
will be measured.
(ix) Management and staffing
information, including type of
personnel or contractors that will be
primarily responsible for carrying out
changes to care under the CJR model.
(2) The collaborator agreement must
contain a requirement that the CJR
collaborator and its employees and
contractors must comply with the
applicable provisions of this part
(including requirements regarding
beneficiary notifications, access to
records, record retention, and
participation in any evaluation,
monitoring, compliance, and
enforcement activities performed by
CMS or its designees) and all other
applicable laws and regulations.
(3) The collaborator agreement must
require the CJR collaborator to be in
compliance with all Medicare provider
enrollment requirements at § 424.500 of
this chapter, including having a valid
and active TIN or NPI, during the term
of the agreement.
(4) The collaborator agreement must
require the CJR collaborator to have a
compliance program that includes
oversight of the collaborator agreement
and compliance with the requirements
of the CJR model.
(5) The collaborator agreement must
set forth a specific methodology for
accruing, calculating, and verifying the
internal cost savings generated by the
participant hospital based on the care
redesign elements specifically
associated with the particular CJR
collaborator.
(i) The methodology must set out the
specific care redesign elements to be
undertaken by the participant hospital
or the CJR collaborator or both.
(ii) The methodology must be based,
at least in part, on criteria related to,
and inclusive of, the quality of care to
be delivered to CJR beneficiaries during
an episode and must not directly
account for the volume or value of
referrals or business otherwise
generated by, between or among the
participant hospital, CJR collaborators,
and any individual or entity affiliated
with a participant hospital or CJR
collaborator.
(iii) The specific methodologies for
accruing and calculating internal cost
savings must be transparent,
measurable, and verifiable in
accordance with generally accepted
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accounting principles and Government
Auditing Standards (The Yellow Book).
(6) The collaborator agreement must
set forth the quality criteria established
by the participant hospital that will be
used in determining the gainsharing
payment.
(7) The collaborator agreement must
require the participant hospital to
recoup gainsharing payments paid to
CJR collaborators if gainsharing
payments contain funds derived from a
CMS overpayment on a reconciliation
report, or were based on the submission
of false or fraudulent data.
(d) Documentation requirements. (1)
Documentation of any collaborator
agreement containing a sharing
arrangement must be contemporaneous
with the establishment of the
arrangement.
(2) A participant hospital must
maintain accurate current and historical
lists of all CJR collaborators, including
names and addresses of each CJR
collaborator. The participant hospital
must update the lists on at least a
quarterly basis and publicly report the
current and historical lists of CJR
collaborators on a public-facing Web
page on the participant hospital’s Web
site.
(3) The participant hospital and CJR
collaborator must maintain
contemporaneous documentation of the
payment or receipt of any gainsharing
payment or alignment payment. The
documentation must identify at least the
following: The nature of the payment
(gainsharing payment or alignment
payment); the identity of the parties
making and receiving the payment; the
date of the payment; the amount of the
payment; and the date and amount of
any recoupment of all or a portion of a
CJR collaborator’s gainsharing payment.
(4) The participant hospital must keep
records of the following:
(i) Its process for determining and
verifying the eligibility of CJR
collaborators to participate in Medicare.
(ii) Information confirming the
organizational readiness of the
participant hospital to measure and
track internal cost savings.
(iii) The participant hospital’s plan to
track internal cost savings.
(iv) Information on the accounting
systems used to track internal cost
savings.
(v) A description of current health
information technology, including
systems to track reconciliation
payments and internal cost savings.
(vi) The participant hospital’s plan to
track gainsharing payments and
alignment payments.
(vii) Whether the participant hospital
recouped any gainsharing payments
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received by a CJR collaborator that
contain funds derived from a CMS
overpayment on a reconciliation report,
or were based on the submission of false
or fraudulent data.
(e) Access to records and record
retention. All participant hospitals and
CJR collaborators who enter into sharing
arrangements must:
(1) Provide to CMS, the OIG, and the
Comptroller General or their designees
scheduled and unscheduled access to
all books, contracts, records, documents,
and other evidence (including data
related to utilization and payments,
quality criteria, billings, lists of CJR
collaborators, sharing arrangements, and
distribution arrangements, and the
documentation required under
paragraph (d) of this section) sufficient
to enable the audit, evaluation,
inspection, or investigation of the
individual’s or entity’s compliance with
CJR requirements, the quality of services
furnished, the obligation to repay any
reconciliation payments owed to CMS,
or the calculation, distribution, receipt,
or recoupment of gainsharing payments,
alignment payments, or distribution
payments.
(2) Maintain all such books, contracts,
records, documents, and other evidence
for a period of 10 years from the last day
of the participant hospital’s
participation in the CJR model or from
the date of completion of any audit,
evaluation, inspection, or investigation,
whichever is later, unless—
(i) CMS determines that there is a
special need to retain a particular record
or group of records for a longer period
and notifies the participant hospital at
least 30 calendar days before the normal
disposition date; or
(ii) There has been a dispute or
allegation of fraud or similar fault
against the participant hospital or any
CJR collaborator, in which case the
records must be maintained for an
additional 6 years from the date of any
resulting final resolution of the dispute
or allegation of fraud or similar fault.
signed by the PGP and practice
collaboration agent.
(2) Participation in a distribution
arrangement must be voluntary and
without penalty for nonparticipation.
(3) The distribution arrangement must
require the practice collaboration agent
to comply with the requirements set
forth in this part.
(4) The opportunity to receive a
distribution payment must not be
conditioned directly or indirectly on the
volume or value of referrals or business
otherwise generated by, between or
among the participant hospital, PGP,
other CJR collaborators, practice
collaboration agents, and any individual
or entity affiliated with a participant
hospital, CJR collaborator, or practice
collaboration agent.
(5) Methodologies for determining
distribution payments must not directly
account for volume or value of referrals,
or business otherwise generated, by,
between or among the participant
hospital, PGP, other CJR collaborators,
practice collaboration agents, and any
individual or entity affiliated with a
participant hospital, CJR collaborator, or
practice collaboration agent.
(6) A practice collaboration agent is
eligible to receive a distribution
payment only if the PGP billed for an
item or service furnished by the practice
collaboration agent to a CJR beneficiary
during a CJR episode that occurred
during the calendar year in which the
participating hospital accrued the
internal cost savings or earned the
reconciliation payment that comprise
the gainsharing payment made to the
PGP.
(7) When a PGP receives a gainsharing
payment from a participant hospital in
accordance with a sharing arrangement,
all monies contained in such a
gainsharing payment must be shared
only with the physician or
nonphysician practitioners that are PGP
members that furnished a service to a
CJR beneficiary during an episode of
care in the calendar year from which the
NPRA, as that term is defined in this
part, or internal cost savings was
§ 510.505 Distribution arrangements.
generated, either or both of which are
(a) General. (1) A PGP that has entered the only permitted sources of funds for
into a collaborator agreement with a
a gainsharing payment.
participant hospital may distribute all or
(8) The total amount of distribution
a portion of any gainsharing payment it
payments for a calendar year paid to a
receives from the hospital only in
practice collaboration agent must not
accordance with a distribution
exceed 50 percent of the total Medicare
arrangement.
approved amounts under the Physician
(2) All distribution arrangements must Fee Schedule for services billed by the
comply with the provisions of
PGP and furnished by the practice
paragraph (b) of this section and all
collaboration agent to the participant
applicable laws and regulations,
hospital’s CJR beneficiaries during a CJR
including the fraud and abuse laws.
episode.
(9) With respect to the distribution of
(b) Requirements. (1) All distribution
any gainsharing payment received by a
arrangements must be in writing and
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PGP, the total amount of all distribution
payments must not exceed the amount
of the gainsharing payment.
(10) All distribution payments must
be made through EFT.
(11) The practice collaboration agents
must retain their ability to make
decisions in the best interests of the
patient, including the selection of
devices, supplies, and treatments.
(12) The distribution arrangement
must not—
(i) Induce a practice collaboration
agent to reduce or limit medically
necessary services to any Medicare
beneficiary; or
(ii) Reward the provision of items and
services that are medically unnecessary.
(13) The PGP must maintain
contemporaneous documentation
regarding distribution arrangements in
accordance with § 510.500(e), including
the relevant written agreements, the
date and amount of any distribution
payment, the identity of each practice
collaboration agent who received a
distribution payment, and a description
of the methodology and accounting
formula for determining the amount of
any distribution payment.
(14) The PGP may not enter into a
distribution arrangement with any
member of the PGP that has a
collaborator agreement in effect with a
participant hospital.
§ 510.510
Enforcement authority.
(a) OIG authority. OIG authority is not
limited or restricted by the provisions of
the CJR model, including the authority
to audit, evaluate, investigate, or inspect
the participant hospital, CJR
collaborators, or any other person or
entity or their records, data, or
information, without limitation.
(b) Other authorities. None of the
provisions of the CJR model limits or
restricts the authority of any other
government agency permitted by law to
audit, evaluate, investigate, or inspect
the participant hospital, CJR
collaborators, or any other person or
entity or their records, data, or
information, without limitation.
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§ 510.515 Beneficiary incentives under the
CJR model.
(a) General. Participant hospitals may
choose to provide in-kind patient
engagement incentives to beneficiaries
in a CJR episode, subject to the
following conditions:
(1) The incentive must be provided
directly by the participant hospital or by
an agent of the hospital under the
hospital’s direction and control to the
beneficiary during a CJR episode of care.
(2) The item or service provided must
be reasonably connected to medical care
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Jkt 238001
provided to a beneficiary during an
episode.
(3) The item or service must be a
preventive care item or service or an
item or service that advances a clinical
goal, as listed in paragraph (b) of this
section, for a beneficiary in a CJR
episode by engaging the beneficiary in
better managing his or her own health.
(4) The item or service must not be
tied to the receipt of items or services
outside the CJR episode of care.
(5) The item or service must not be
tied to the receipt of items or services
from a particular provider or supplier.
(6) The availability of the items or
services must not be advertised or
promoted except that a beneficiary may
be made aware of the availability of the
items or services at the time the
beneficiary could reasonably benefit
from them.
(7) The cost of the items or services
must not be shifted to another federal
health care program, as defined at
section 1128B(f) of the Act.
(b) Goals of the CJR model. The
following are the particular clinical
goals of the CJR model, which may be
advanced through beneficiary
incentives:
(1) Beneficiary adherence to drug
regimens.
(2) Beneficiary adherence to a care
plan.
(3) Reduction of readmissions and
complications resulting from LEJR
procedures.
(4) Management of chronic diseases
and conditions that may be affected by
the lower extremity joint replacement
procedure.
(c) Documentation of beneficiary
incentives. (1) Participant hospitals
must maintain documentation of items
and services furnished as beneficiary
incentives that exceed $25 in retail
value.
(2) The documentation must be
contemporaneous with the provision of
the items and services and must include
at least the following:
(i) The date the incentive is provided.
(ii) The identity of the beneficiary to
whom the item or service was provided.
(3) The participant hospital must
retain the required documentation in
accordance with paragraph (e) of this
section.
(d) Technology provided to a
beneficiary. (1) Items or services
involving technology provided to a
beneficiary may not exceed $1,000 in
retail value for any one beneficiary in
any one CJR episode.
(2) Items or services involving
technology provided to a beneficiary
must be the minimum necessary to
advance a clinical goal, as listed in
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73553
paragraph (b) of this section, for a
beneficiary in a CJR episode.
(3) Items of technology exceeding
$100 in retail value must—
(i) Remain the property of the
participant hospital; and
(ii) Be retrieved from the beneficiary
at the end of the CJR episode. The
participant hospital must document all
retrieval attempts, including the
ultimate date of retrieval. Documented,
diligent, good faith attempts to retrieve
items of technology will be deemed to
meet the retrieval requirement.
(e) Documentation and maintenance
of records. All participant hospitals that
provide in-kind patient engagement
incentives to beneficiaries in CJR
episodes must:
(1) Provide to CMS, the OIG, and the
Comptroller General or their designee(s)
scheduled and unscheduled access to
all books, contracts, records, documents,
and other evidence sufficient to enable
the audit, evaluation, inspection, or
investigation of the participant
hospital’s compliance with CJR
requirements for beneficiary incentives.
(2) Maintain all such books, contracts,
records, documents, and other evidence
for a period of 10 years from the last day
of the participant hospital’s
participation in the CJR model or from
the date of completion of any audit,
evaluation, inspection, or investigation,
whichever is later, unless—
(i) CMS determines that there is a
special need to retain a particular record
or group of records for a longer period
and notifies the participant hospital at
least 30 calendar days before the normal
disposition rate; or
(ii) There has been a dispute or
allegation of fraud or similar fault
against the participant hospital, in
which case the records must be
maintained for an additional 6 years
from the date of any resulting final
resolution of the dispute or allegation of
fraud or similar fault.
Subpart G—Waivers
§ 510.600 Waiver of direct supervision
requirement for certain post-discharge
home visits.
(a) General. CMS waives the
requirement in § 410.26(b)(5) of this
chapter that services and supplies
furnished incident to a physician’s
service must be furnished under the
direct supervision of the physician (or
other practitioner) to permit home visits
as specified in this section. The services
furnished under this waiver are not
considered to be ‘‘hospital services,’’
even when furnished by the clinical
staff of the hospital.
(b) General supervision of qualified
personnel. The waiver of the direct
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supervision requirement in
§ 410.26(b)(5) of this chapter applies
only in the following circumstances:
(1) The home visit is furnished during
the episode to a beneficiary who has
been discharged from an anchor
hospitalization.
(2) The home visit is furnished at the
beneficiary’s home or place of
residence.
(3) The beneficiary does not qualify
for home health services under sections
1835(a) and 1814(a) of the Act at the
time of any such home visit.
(4) The visit is furnished by clinical
staff under the general supervision of a
physician or non-physician practitioner.
Clinical staff are individuals who work
under the supervision of a physician or
other qualified health care professional,
and who are allowed by law, regulation,
and facility policy to perform or assist
in the performance of a specific
professional service, but do not
individually report that professional
service.
(5) No more than 9 visits are
furnished to the beneficiary during the
episode.
(c) Payment. Up to 9 post-discharge
home visits per CJR episode may be
billed under Part B by the physician or
nonphysician practitioner or by the
participant hospital to which the
supervising physician has reassigned
his or her billing rights.
(d) Other requirements. All other
Medicare rules for coverage and
payment of services incident to a
physician’s service continue to apply.
mstockstill on DSK4VPTVN1PROD with RULES2
§ 510.605 Waiver of certain telehealth
requirements.
(a) Waiver of the geographic site
requirements. Except for the geographic
site requirements for a face-to-face
encounter for home health certification,
CMS waives the geographic site
requirements of section
1834(m)(4)(C)(i)(I) through (III) of the
Act for episodes being tested in the CJR
model, but only for services that—
(1) May be furnished via telehealth
under existing requirements; and
(2) Are included in the episode in
accordance with § 510.200(b).
(b) Waiver of the originating site
requirements. Except for the originating
site requirements for a face-to-face
encounter for home health certification,
CMS waives the originating site
requirements under section
1834(m)(4)(C)(ii)(I) through (VIII) of the
Act for episodes being tested in the CJR
model to permit a telehealth visit to
originate in the beneficiary’s home or
place of residence, but only for services
that—
(1) May be furnished via telehealth
under existing requirements; and
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Jkt 238001
(2) Are included in the CJR episode in
accordance with § 510.200(b).
(c) Waiver of selected payment
provisions. (1) CMS waives the payment
requirements under section
1834(m)(2)(A) so that the facility fee
normally paid by Medicare to an
originating site for a telehealth service is
not paid if the service is originated in
the beneficiary’s home or place of
residence.
(2) CMS waives the payment
requirements under section
1834(m)(2)(B) to allow the distant site
payment for telehealth home visit
HCPCS codes unique to this model to
more accurately reflect the resources
involved in furnishing these services in
the home by basing payment upon the
comparable office visit relative value
units for work and malpractice under
the Physician Fee Schedule.
(d) Other requirements. All other
requirements for Medicare coverage and
payment of telehealth services continue
to apply, including the list of specific
services approved to be furnished by
telehealth.
§ 510.610
Waiver of SNF 3-day rule.
(a) Waiver of the SNF 3-day rule. For
episodes being tested in the CJR model
in performance years 2 through 5, CMS
waives the SNF 3-day rule for coverage
of a SNF stay for a CJR beneficiary
following the anchor hospitalization,
but only if the SNF is identified on the
applicable calendar quarter list of
qualified SNFs at the time of CJR
beneficiary admission to the SNF.
(1) CMS determines the qualified
SNFs for each calendar quarter based on
a review of the most recent rolling 12
months of overall star ratings on the
Five-Star Quality Rating System for
SNFs on the Nursing Home Compare
Web site. Qualified SNFs are rated an
overall of 3 stars or better for at least 7
of the 12 months.
(2) CMS posts to the CMS Web site
the list of qualified SNFs in advance of
the calendar quarter and the waiver only
applies for a beneficiary who has been
discharged from an anchor
hospitalization if the SNF is included
on the applicable calendar quarter list
for the date of the beneficiary’s
admission to the SNF.
(b) Other requirements. All other
Medicare rules for coverage and
payment of Part A-covered SNF services
continue to apply.
§ 510.615 Waiver of certain post-operative
billing restrictions.
(a) Waiver to permit certain services to
be billed separately during the 90-day
post-operative global surgical period.
CMS waives the billing requirements for
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global surgeries to allow the separate
billing of certain post-discharge home
visits described under § 510.600,
including those related to recovery from
the surgery, as described in paragraph
(b) of this section, for episodes being
tested in the CJR model.
(b) Services to which the waiver
applies. Up to 9 post-discharge home
visits, including those related to
recovery from the surgery, per CJR
episode may be billed separately under
Part B by the physician or nonphysician
practitioner, or by the participant
hospital to which the physician or
nonphysician practitioner has
reassigned his or her billing rights.
(c) Other requirements. All other
Medicare rules for global surgery billing
during the 90-day post-operative period
continue to apply.
§ 510.620 Waiver of deductible and
coinsurance that otherwise apply to
reconciliation payments or repayments.
(a) Waiver of deductible and
coinsurance. CMS waives the
requirements of sections 1813 and
1822(a) of the Act for Medicare Part A
and Part B payment systems only to the
extent necessary to make reconciliation
payments or receive repayments based
on the NPRA that reflect the episode
payment methodology under the final
payment model for CJR participant
hospitals.
(b) Reconciliation payments or
repayments. Reconciliation payments or
repayments do not affect the beneficiary
cost-sharing amounts for the Part A and
Part B services provided under the CJR
model.
Subparts H–J [Reserved]
Subpart K—Model Termination
§ 510.900.
Termination of the CJR model.
CMS may terminate the CJR model for
reasons including but not limited to the
following:
(a) CMS determines that it no longer
has the funds to support the CJR model.
(b) CMS terminates the model in
accordance with section 1115A(b)(3)(B)
of the Act. As provided by section
1115A(d)(2) of the Act, termination of
the model is not subject to
administrative or judicial review.
Dated: November 2, 2015.
Andrew M. Slavitt,
Acting Administrator, Centers for Medicare
& Medicaid Services.
Dated: November 9, 2015.
Sylvia M. Burwell,
Secretary, Department of Health and Human
Services.
[FR Doc. 2015–29438 Filed 11–16–15; 4:15 pm]
BILLING CODE 4120–01–P
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Agencies
[Federal Register Volume 80, Number 226 (Tuesday, November 24, 2015)]
[Rules and Regulations]
[Pages 73273-73554]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 2015-29438]
[[Page 73273]]
Vol. 80
Tuesday,
No. 226
November 24, 2015
Part II
Department of Health and Human Services
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Centers for Medicare & Medicaid Services
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42 CFR Part 510
Medicare Program; Comprehensive Care for Joint Replacement Payment
Model for Acute Care Hospitals Furnishing Lower Extremity Joint
Replacement Services; Final Rule
Federal Register / Vol. 80 , No. 226 / Tuesday, November 24, 2015 /
Rules and Regulations
[[Page 73274]]
-----------------------------------------------------------------------
DEPARTMENT OF HEALTH AND HUMAN SERVICES
Centers for Medicare & Medicaid Services
42 CFR Part 510
[CMS-5516-F]
RIN 0938-AS64
Medicare Program; Comprehensive Care for Joint Replacement
Payment Model for Acute Care Hospitals Furnishing Lower Extremity Joint
Replacement Services
AGENCY: Centers for Medicare & Medicaid Services (CMS), HHS.
ACTION: Final rule.
-----------------------------------------------------------------------
SUMMARY: This final rule implements a new Medicare Part A and B payment
model under section 1115A of the Social Security Act, called the
Comprehensive Care for Joint Replacement (CJR) model, in which acute
care hospitals in certain selected geographic areas will receive
retrospective bundled payments for episodes of care for lower extremity
joint replacement (LEJR) or reattachment of a lower extremity. All
related care within 90 days of hospital discharge from the joint
replacement procedure will be included in the episode of care. We
believe this model will further our goals in improving the efficiency
and quality of care for Medicare beneficiaries with these common
medical procedures.
DATES: These regulations are effective on January 15, 2016, and
applicable on April 1, 2016 when the first model performance period
begins.
FOR FURTHER INFORMATION CONTACT: Claire Schreiber,
Claire.Schreiber@cms.hhs.gov, 410 786 8939.
Gabriel Scott, Gabriel.Scott@cms.hhs.gov, 410 786 3928.
SUPPLEMENTARY INFORMATION:
Electronic Access
This Federal Register document is also available from the Federal
Register online database through Federal Digital System (FDsys), a
service of the U.S. Government Printing Office. This database can be
accessed via the internet at https://www.gpo.gov/fdsys/.
Alphabetical List of Acronyms
Because of the many terms to which we refer by acronym,
abbreviation, or short form in this final rule, we are listing the
acronyms, abbreviations and short forms used and their corresponding
terms in alphabetical order.
[micro]SA Micropolitan Statistical Area
ACE Acute Care Episode
ACO Accountable Care Organization
APM Alternative Payment Model
ASC Ambulatory Surgical Center
ASPE Assistant Secretary for Planning and Evaluation
BPCI Bundled Payments for Care Improvement
CAH Critical Access Hospital
CBSA Core-Based Statistical Area
CCN CMS Certification Number
CFR Code of Federal Regulations
CJR Comprehensive Care for Joint Replacement
CMHC Community Mental Health Center
CMI Case Mix Index
CMMI Center for Medicare and Medicaid Innovation
CMP Civil Monetary Penalty
CMS Centers for Medicare & Medicaid Services
CoPs Conditions of Participation
CPCi Comprehensive Primary Care Initiative
CPT Current Procedural Terminology
CSA Combined Statistical Area
DME Durable Medical Equipment
DMEPOS Durable Medical Equipment, Prosthetics, Orthotics, and
Supplies
eCQM Electronic Clinical Quality Measures
EFT Electronic funds transfer
ESRD End-Stage Renal Disease
FFS Fee-for-service
GAAP Generally Accepted Accounting Principles
GEM General Equivalence Mapping
GPCI Geographic Practice Cost Index
HAC Hospital-Acquired Condition
HACRP Hospital-Acquired Condition Reduction Program
HCAHPS Hospital Consumer Assessment of Healthcare Providers and
Systems
HCC Hierarchical Condition Category
HCPCS Healthcare Common Procedure Coding System
HHA Home health agency
HHPPS Home Health Prospective Payment System
HHRG Home Health Resource Group
HHVBP Home Health Value-Based Purchasing
HIT Health Information Technology
HIQR Hospital Inpatient Quality Reporting
HLMR HCAHPS Linear Mean Roll Up
HOOS Hip Dysfunction and Osteoarthritis Outcome Score
HOPD Hospital outpatient department
HRR Hospital Referral Region
HRRP Hospital Readmissions Reductions Program
HVBP Hospital Value Based Purchasing Program
ICD-9-CM International Classification of Diseases, 9th Revision,
Clinical Modification
ICD-10-CM International Classification of Diseases, 10th Revision,
Clinical Modification
IPPS Inpatient Prospective Payment System
IPF Inpatient psychiatric facility
IRF Inpatient rehabilitation facility
KOOS Knee Injury and Osteoarthritis Outcome Score
LEJR Lower extremity joint replacement
LOS Length of stay
LTCH Long term care hospital
LUPA Low Utilization Payment Adjustment
MAC Medicare Administrative Contractor
MACRA Medicare Access and Chip Reauthorization Act of 2015
MAPCP Multi-Payer Advanced Primary Care Practice model
MCC Major Complications or Comorbidities
MCCM Medicare Care Choices Model
MDH Medicare-Dependent Hospital
MedPAC Medicare Payment Advisory Commission
MIPS Merit-based Incentive Payment System
MP Malpractice
MPFS Medicare Physician Fee Schedule
MSA Metropolitan Statistical Area
MS-DRG Medical Severity Diagnosis-Related Group
NPI National Provider Identifier
NPP Nonphysician Practitioner
NPRA Net Payment Reconciliation Amount
NQF National Quality Forum
OCM Oncology Care Model
OPPS Outpatient Prospective Payment System
PAC Post-Acute Care
PBPM Per Beneficiary Per Month
PE Practice Expense
PGP Physician Group Practice
PHA Partial hip arthroplasty
PPS Prospective Payment System
PRO Patient-Reported Outcome
PROMIS Patient-Reported Outcomes Measurement Information Systems
PRO-PM Patient-Reported Outcome Performance Measure
QIO Quality Improvement Organization
RAC Recovery Audit Contractor
RRC Rural Referral Center
RSCR Risk-Standardized Complication Rate
RSRR Risk-Standardized Readmission Rate
RVU Relative Value Unit
SCH Sole Community Hospital
SNF Skilled nursing facility
THA Total hip arthroplasty
TIN Taxpayer identification number
TKA Total knee arthroplasty
TP Target price
VR-12 Veterans Rand 12 Item Health Survey
Table of Contents
I. Executive Summary
A. Purpose
B. Summary of the Major Provisions
1. Model Overview: LEJR Episodes of Care
2. Model Scope
3. Payment
4. Similar, Previous, and Concurrent Models
5. Overlap With Ongoing CMS Efforts
6. Quality Measures and Reporting Requirements
7. Data Sharing Process
8. Beneficiary Protections
9. Financial Arrangements and Program Policy Waivers
C. Summary of Economic Effects
II. Background
A. General Background
B. Acronym of This Model
C. Public Comments Received in Response to the CJR Proposed Rule
III. Provisions of the Proposed Regulations and Analysis of and
Responses to Public Comments
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A. Definition of the Episode Initiator and Selected Geographic
Areas
1. Background
2. Definition of Episode Initiator
3. Financial Responsibility for the Episode of Care
4. Geographic Unit of Selection and Exclusion of Selected
Hospitals
a. Overview and Options for Geographic Area Selection
b. MSA Selection Methodology
(1) Exclusion of Certain MSAs
(2) Selection Strata
(a) MSA Average Wage-Adjusted Historic LEJR Episode Payments
(b) MSA Population Size
(c) Analysis of Strata
(3) Factors Considered But Not Used in Creating Proposed Strata
(4) Sample Size Calculations and the Number of Selected MSAs
(5) Method of Selecting MSAs
B. Episode Definition for the CJR Model
1. Background
2. Clinical Dimension of Episodes of Care
a. Definition of the Clinical Conditions Included in the Episode
b. Definition of Related Services Included in the Episode
3. Duration of Episodes of Care
a. Beginning the Episode and Beneficiary Care Inclusion Criteria
b. Middle of the Episode
c. End of the Episode
C. Methodology for Setting Episode Prices and Paying Model
Participants Under the CJR Model
1. Background
2. Performance Years, Retrospective Episode Payment, and Two-
Sided Risk Model
a. Performance Period
b. Retrospective Payment Methodology
c. Two-Sided Risk Model
3. Adjustments to Payments Included in Episode
a. Treatment of Special Payment Provisions Under Existing
Medicare Payment Systems
b. Treatment of Payment for Services That Extend Beyond the
Episode
c. Pricing Adjustment for High Payment Episodes
4. Episode Price Setting Methodology
a. Overview
b. Pricing Features
(1) Different Target Prices for Episodes Anchored by MS-DRG 469
vs. MS-DRG 470
(2) Three Years of Historical Data
(3) Trending of Historical Data to the Most Recent Year of the
Three
(4) Update Historical Episode Payments for Ongoing Payment
System Updates
(a) Inpatient Acute Services Update Factor
(b) Physician Services Update Factor
(c) IRF Services Update Factor
(d) SNF Services Update Factor
(e) HHA Services Update Factor
(f) Other Services Update Factor
(5) Blend Hospital-Specific and Regional Historical Data
(6) Define Regions as U.S. Census Divisions
(7) Normalize for Provider-Specific Wage Adjustment Variations
(8) Combination of CJR Episodes Anchored by MS-DRGs 469 and 470
(9) Discount Factor
c. Approach To Combine Pricing Features
5. Use of Quality Performance in the Payment Methodology
a. Background
b. Implementation of Quality Measures for in the Payment
Methodology
(1) General Selection of Quality Measures
(2) Adjustment to the Payment Methodology for Voluntary
Submission of Data for Patient-Reported Outcome Measure
(3) Measure Risk-Adjustment and Calculations
(4) Applicable Time Period
(5) Criteria for Applicable Hospitals and Performance Scoring
(a) Identification of Applicable Hospitals for the CJR Model
(b) Methodology to Determine Performance on the Quality Measures
(c) Methodology to Link Quality and Payment
(i) Background
(ii) Alternatives Considered To Link Quality and Payment
(iii) Threshold Methodology and Final Policy to Link Quality and
Payment
6. Process for Reconciliation
a. Net Payment Reconciliation Amount
b. Payment Reconciliation
7. Adjustments for Overlaps With Other CMMI Models and CMS
Programs
a. Overview
b. CJR Beneficiary Overlap With BPCI Episodes
c. Accounting for CJR Reconciliation Payments and Repayments in
Other Models and Programs
d. Accounting for Per Beneficiary Per Month (PBPM) Payments in
the Episode Definition
e. Accounting for Overlap With Other Medicare Initiatives
Involving Shared Savings and Total Cost of Care Models
8. Limits or Adjustments to Hospital Financial Responsibility
a. Overview
b. Limit on Raw NPRA Contribution to Repayment Amounts and
Reconciliation Payments
(1) Limit on Raw NPRA Contribution to Repayment Amounts
(2) Limit on Raw NPRA Contribution To Reconciliation Payments
c. Policies for Certain Hospitals To Further Limit Repayment
Responsibility
d. Hospital Responsibility for Increased Post-Episode Payments
9. Appeal Procedures
a. Payment Processes
b. Calculation Error
c. Dispute Resolution
(1) Limitations on Review
(2) Matters Subject To Dispute Resolution
(3) Dispute Resolution Process
10. Financial Arrangements and Beneficiary Incentives
a. Financial Arrangements
(1) CJR Sharing Arrangement Requirements
(2) Participation Agreement Requirements
(3) Gainsharing Payment and Alignment Payment Conditions and
Restrictions
(4) Documentation and Maintenance of Records
b. Beneficiary Incentives Under the CJR Model
11. Waivers of Medicare Program Rules
a. Overview
b. Post-Discharge Home Visits
c. Billing and Payment for Telehealth Services
d. SNF 3-Day Rule
e. Waivers of Medicare Program Rules to Allow Reconciliation
Payment or Repayment Actions Resulting From the Net Payment
Reconciliation Amount
12. Enforcement Mechanisms
D. Quality Measures and Display of Quality Metrics Used in the
CJR Model
1. Background
a. Purpose of Quality Measures in the CJR Model
b. Public Display of Quality Measures in the CJR Model
2. Quality Measures for Performance Year 1 (CY 2016) and
Subsequent Years
a. Hospital-Level Risk-Standardized Complication Rate (RSCR)
Following Elective Primary Total Hip Arthroplasty (THA) and/or Total
Knee Arthroplasty (TKA) (NQF #1550)
(1) Background
(2) Data Sources
(3) Cohort
(4) Inclusion and Exclusion Criteria
(5) Risk-Adjustment
(6) Calculating the Risk-Standardized Complication Rate and
Performance Period
b. Hospital-Level 30-Day, All-Cause Risk-Standardized
Readmission Rate (RSRR) Following Elective Primary Total Hip
Arthroplasty (THA) and/or Total Knee Arthroplasty (TKA) (NQF #1551)
(1) Background
(2) Data Sources
(3) Cohort
(4) Inclusion and Exclusion Criteria
(5) Risk-Adjustment
(6) Calculating the Risk-Standardized Readmission Rate and
Performance Period
c. Hospital Consumer Assessment of Healthcare Providers and
Systems (HCAHPS) Survey
(1) Background
(2) Data Sources
(3) Cohort
(4) Inclusion and Exclusion Criteria
(5) Case-Mix-Adjustment
(6) HCAHPS Scoring
(7) Performance Period
d. Applicable Time Period
3. Possible New Outcomes for Future Measures
a. Hospital-Level Performance Measure(s) of Patient-Reported
Outcomes Following Elective Primary Total Hip and/or Total Knee
Arthroplasty
(1) Background
(2) Data Sources
(3) Cohort
(4) Inclusion and Exclusion Criteria
(5) Outcome
(6) Risk-Adjustment (If Applicable)
(7) Calculating the Risk-Standardized Rate
(8) Performance Period
(9) Requirements for Successful Submission of THA/TKA Voluntary
Data
b. Measure That Captures Shared Decision-Making Related to
Elective Primary Total Hip and/or Total Knee Arthroplasty
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c. Future Measures Around Care Planning
d. Future Measures for Use of Health IT and Health Enforcement
Exchange
4. Form, Manner and Timing of Quality Measure Data Submission
5. Display of Quality Measures and Availability of Information
for the Public From the CJR Model
E. Data Sharing
1. Overview
2. Beneficiary Claims Data
3. Aggregate Regional Data
4. Timing and Period of Baseline Data
5. Frequency and Period of Claims Data Updates for Sharing
Beneficiary-Identifiable Claims Data During the Performance Period
6. Legal Permission To Share Beneficiary-Identifiable Data
F. Monitoring and Beneficiary Protection
1. Introduction and Summary
2. Beneficiary Choice and Beneficiary Notification
3. Monitoring for Access to Care
4. Monitoring for Quality of Care
5. Monitoring for Delayed Care
G. Coordination With Other Agencies
IV. Evaluation Approach
A. Background
B. Design and Evaluation Methods
C. Data Collection Methods
D. Key Evaluation Research Questions
E. Evaluation Period and Anticipated Reports
V. Collection of Information Requirements
VI. Regulatory Impact Analysis
A. Statement of Need
B. Overall Impact
C. Anticipated Effects
1. Overall Magnitude of the Model and Its Effects on the Market
2. Effects on the Medicare Program
a. Assumptions and Uncertainties
b. Analyses
c. Further Consideration
3. Effects on Beneficiaries
4. Effects on Small Entities
5. Effects on Small Rural Hospitals
6. Unfunded Mandates
D. Alternatives
E. Accounting Statement
F. Conclusion
Regulations Text
I. Executive Summary
A. Purpose
The purpose of this final rule is to implement a new payment model
called the Comprehensive Care for Joint Replacement (CJR) model under
the authority of the Center for Medicare and Medicaid Innovation
(CMMI). Section 1115A of the Social Security Act (the Act) authorizes
CMMI to test innovative payment and service delivery models to reduce
program expenditures while preserving or enhancing the quality of care
furnished to Medicare, Medicaid, and Children's Health Insurance
Program beneficiaries. The intent of the CJR model is to promote
quality and financial accountability for episodes of care surrounding a
lower-extremity joint replacement (LEJR) or reattachment of a lower
extremity procedure.\1\ CJR will test whether bundled payments to acute
care hospitals for LEJR episodes of care will reduce Medicare
expenditures while preserving or enhancing the quality of care for
Medicare beneficiaries. We anticipate the CJR model will benefit
Medicare beneficiaries by improving the coordination and transition of
care, improving the coordination of items and services paid for through
Medicare Fee-For-Service (FFS), encouraging more provider investment in
infrastructure and redesigned care processes for higher quality and
more efficient service delivery, and incentivizing higher value care
across the inpatient and post-acute care (PAC) spectrum spanning the
episode of care. We will test the CJR model for 5 performance periods,
beginning April 1, 2016, and ending December 31, 2020. Under FFS,
Medicare makes separate payments to providers and suppliers for the
items and services furnished to a beneficiary over the course of
treatment (an episode of care). With the amount of payments dependent
on the volume of services delivered, providers may not have incentives
to invest in quality improvement and care coordination activities. As a
result, care may be fragmented, unnecessary, or duplicative.
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\1\ In this final rule, we use the term LEJR to refer to all
procedures within the Medicare Severity-Diagnosis Related Groups
(MS-DRGs) we selected for the model, including reattachment of a
lower extremity, as described in section III.B.2.a. of this final
rule.
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We have previously used our statutory authority under section 1115A
of the Act to test bundled payment models such as the Bundled Payments
for Care Improvement (BPCI) initiative. Bundled payments, for multiple
services in an episode of care, hold participating organizations
financially accountable for an episode of care. They also allow
participants to receive payment, in part, based on the reduction in
expenditures for Medicare arising from their care redesign efforts.
We believe the CJR model will further the mission of CMMI and the
Secretary's goal of increasingly paying for value rather than for
volume,\2\ because it will promote the alignment of financial and other
incentives for all health care providers and suppliers caring for a
beneficiary during an LEJR episode. In the CJR model, the acute care
hospital that is the site of surgery will be held accountable for
spending during the episode of care. Participant hospitals will be
afforded the opportunity to earn performance-based payments by
appropriately reducing expenditures and meeting certain quality
metrics. They will also gain access to data and educational resources
to better understand LEJR patients' PAC needs and associated spending.
Payment approaches that reward providers that assume financial and
performance accountability for a particular episode of care create
incentives for the implementation and coordination of care redesign
between hospitals and other providers and suppliers.
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\2\ Sylvia Mathews Burwell, HHS Secretary, Progress Towards
Achieving Better Care, Smarter Spending, Healthier People, https://www.hhs.gov/blog/2015/01/26/progress-towards-better-care-smarter-spending-healthier-people.html (January 26, 2015).
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The CJR model requires the participation of hospitals in multiple
geographic areas that might not otherwise participate in the testing of
bundled payments for episodes of care for LEJR procedures. Other
episode-based, bundled payment models being tested by the Centers for
Medicare & Medicaid Services (CMS), such as the BPCI initiative, are
voluntary in nature. Interested participants must apply to such models
to participate. To date, we have not tested an episode payment model
with bundled payments in which providers are required to participate.
We recognize that realizing the full potential of new payment models
will require the engagement of an even broader set of providers than
have participated to date, providers who may only be reached when new
payment models are applied to an entire class of providers of a
service. As such, we are interested in testing and evaluating the
impact of a bundled payment approach for LEJR procedures in a variety
of circumstances, especially among those hospitals that may not
otherwise participate in such a test.
This model will allow CMS to gain experience with making bundled
payments to hospitals who have a variety of historic utilization
patterns; different roles within their local markets; various volumes
of services; different levels of access to financial, community, or
other resources; and various levels of population and health provider
density including local variations in the availability and use of
different categories of PAC providers. We believe that by requiring the
participation of a large number of hospitals with diverse
characteristics, the CJR model will result in a robust data set for
evaluation of this bundled payment approach, and will stimulate the
rapid development of new evidence-based knowledge. Testing the model in
this manner will also allow us to learn more about patterns of
inefficient utilization of health care services and how to incentivize
the improvement of
[[Page 73277]]
quality for common LEJR procedure episodes. This learning potentially
could inform future Medicare payment policy.
This final rule implements a model focused on episodes of care for
LEJR procedures. We chose LEJR episodes for the CJR model because as
discussed in depth in section III.C. of this final rule, these are
high-expenditure, high utilization procedures commonly furnished to
Medicare beneficiaries,\3\ where significant variation in spending for
procedures is currently observed. The high volume of episodes and
variation in spending for LEJR procedures create a significant
opportunity to test and evaluate the CJR model that specifically
focuses on a defined set of procedures. Moreover, there is substantial
regional variation in PAC referral patterns and the intensity of PAC
provided for LEJR patients, thus resulting in significant variation in
PAC expenditures across LEJR episodes initiated at different hospitals.
The CJR model will enable hospitals to consider the most appropriate
PAC for their LEJR patients. The CJR model additionally will offer
hospitals the opportunity to better understand their own processes with
regard to LEJR, as well as the processes of post-acute providers.
Finally, while many LEJR procedures are planned, the CJR model will
provide a useful opportunity to identify efficiencies both for when
providers can plan for LEJR procedures and for when the procedure must
be performed urgently.
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\3\ For example, total hip arthroplasty and total knee
arthroplasty procedures are very high volume LEJR procedures that
together represent the largest payments for procedures under
Medicare. Suter L, Grady JL, Lin Z et al.: 2013 Measure Updates and
Specifications: Elective Primary Total Hip Arthroplasty (THA) And/Or
Total Knee Arthroplasty (TKA) All-Cause Unplanned 30-Day Risk-
Standardized Readmission Measure (Version 2.0). 2013. https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/HospitalQualityInits/Measure-Methodology.html; Bozic KJ,
Rubash HE, Sculco TP, Berry DJ., An analysis of Medicare payment
policy for total joint arthroplasty. J Arthroplasty. Sep 2008; 23(6
Suppl 1):133-138.
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The following is a summary of the comments received on the proposed
model as a whole, including the authority for the model and general
comments on CMS' implementation of the CJR model at this time and our
responses.
Comment: A commenter stated that while the proposed rule emphasized
the learning CMS hoped to gain from implementing and testing the CJR
model, it made inadequate mention of the potential benefits to
beneficiaries, providers, hospitals, and other stakeholders. Other
commenters contended that bundled payment models encourage hospitals to
engage in care stinting and potentially stifle innovation.
Response: We appreciate the commenters' concerns. We refer readers
to section III.F. of this final rule for discussion of monitoring and
beneficiary protections under this model which we believe will address
the commenters' concerns about care stinting. We expect that the CJR
model will benefit not just CMS, but also beneficiaries, hospitals, and
other providers in the health care system. The goals of this model are
to improve the quality of care furnished to beneficiaries and reduce
spending during LEJR episodes. Beneficiaries would directly benefit
from improved care coordination and care redesign activities that
reduce readmissions and complications rates, for example, as well as
provide an improved care experience during the inpatient
hospitalization and post-discharge period. Hospitals also stand to
benefit from the CJR model, in the form of the opportunity to earn
reconciliation payments if successful under the model, and a structured
incentive to redesign care processes for beneficiaries receiving LEJR
procedures. For example, section III.C.11. of this final rule details
waivers of Medicare program rules that would allow hospitals to test
additional ways to introduce flexibility into care processes and
improve the quality of care for beneficiaries. In addition, providers
and suppliers across the spectrum of care provided during an LEJR
episode could also benefit from the care redesign strategies as well as
the financial arrangements as detailed in section III.C.10. of this
final rule. Finally, we disagree with commenters that the CJR model
will stifle innovation for care furnished during an LEJR episode. We
proposed, and are finalizing in this final rule, a payment methodology
that will account for changes in care patterns and utilization trends
for LEJR episodes by updating the historical performance periods used
throughout the model, as described in section III.C.4. of this final
rule. In addition, the CJR financial incentives would be consistent
with clinical practices that result in reductions of spending during
LEJR episodes, allowing hospitals that engage in such practices to earn
reconciliation payments and engage with other providers furnishing
services during the episode, as discussed in section III.C.10. of this
final rule.
Comment: Several commenters questioned CMS' legal authority to
require participation in a model. Commenters stated that CMS lacks the
legal authority to compel participation in a model, and that CMS
misreads section 1115A(a)(5) of the Act as the legal basis for
compelling providers in selected Metropolitan Statistical Area (MSAs)
to participate in the CJR model. A commenter stated that language in
the Act has never been interpreted to afford the Secretary the
authority to compel provider participation in a Medicare demonstration
project or model, and that the Congress intended for model tests to be
voluntary, not mandatory, when authorizing CMS to test new models. The
commenter noted that requiring providers to participate in a model that
would encompass a substantial proportion of a particular service would
render the statutory distinction between testing and expanding models
meaningless. The commenter also expressed concern about the model's
potential effect on beneficiaries' appeal rights. Several commenters
stated that CMS is sidestepping the legal safeguards designed to
prevent the Agency from imposing novel or haphazard models on providers
prior to adequate testing and evaluation. Commenters also claimed that
CMS had exceeded its statutory authority because under section 1115A of
the Act, providers are precluded from appealing their selection in a
model, raising further concern that CMS is overreaching by requiring
participation in the CJR model. Commenters also noted that there is no
precedent for a CMS demonstration or model that requires providers to
participate. Finally, several commenters stated that CMS has reversed
the intended sequence of testing and then expanding models.
Response: We disagree with commenters that we lack the legal
authority to test the CJR model as proposed and specifically, to
require the participation of selected hospitals. We note that although
CJR will be the first Innovation Center model in which acute care
hospitals are required to participate, we refer readers to the 2016
Home Health Prospective Payment System (HHPS) Final Rule, which
finalizes the Home Health Value-Based Purchasing (HHVBP) model. Home
health agencies in selected states will be required to participate in
the HHVBP model beginning in January 2016.
We believe that both section 1115A and the Secretary's existing
authority to operate the Medicare program authorize the CJR model as we
have proposed and are finalizing it. Section 1115A of the Act
authorizes the Secretary to test payment and service delivery models
intended to reduce Medicare costs while preserving quality. The statute
does not
[[Page 73278]]
require that models be voluntary, but rather gives the Secretary broad
discretion to design and test models that meet certain requirements as
to spending and quality. Although section 1115A(b) of the Act describes
a number of payment and service delivery models that the Secretary may
choose to test, the Secretary is not limited to those models. Rather,
models to be tested under section 1115A of the Act must address a
defined population for which there are either deficits in care leading
to poor clinical outcomes or potentially avoidable expenditures. Here,
the CJR model addresses a defined population (FFS Medicare
beneficiaries undergoing LEJR procedures) for which there are
potentially avoidable expenditures (arising from less than optimal care
coordination). For the reasons described elsewhere in this rule, we
have determined that it is necessary to test this model among varying
types of hospitals that have not chosen to voluntarily participate in
another episode payment model such as BPCI. As noted elsewhere in this
final rule, we are testing an episode approach for LEJR episodes
through the voluntary BPCI models. We have designed the CJR model to
require participation by hospitals in order to avoid the selection bias
inherent to any model in which providers may choose whether to
participate. Such a design will allow for testing of how a variety of
hospitals will fare under an episode payment approach, leading to a
more robust evaluation of the model's effect on all types of hospitals.
We believe this is the most prudent approach for the following reasons.
The information gained from testing of the CJR model will allow CMS to
more comprehensively assess whether LEJR episode payment models are
appropriate for any potential national expansion. We will have
evaluation information on results for providers who are participating
in such models voluntarily (under BPCI) as well as for hospitals that
are required to participate in CJR. Under CJR, we will have tested and
evaluated such a model across a wide range of hospitals representing
varying degrees of experience with episode payment. We believe it is
important to gain knowledge from a variety of perspectives in
considering whether and which models merit national expansion. Thus,
the CJR model meets the criteria required for initial model tests.
Moreover, the Secretary has the authority to establish regulations
to carry out the administration of Medicare. Specifically, the
Secretary has authority under both sections 1102 and 1871 of the Act to
implement regulations as necessary to administer Medicare, including
testing this Medicare payment and service delivery model. We note that
while CJR will be a model, and not a permanent feature of the Medicare
program, the model will test different methods for delivering and
paying for services covered under the Medicare program, which the
Secretary has clear legal authority to regulate. The proposed rule went
into great detail about the provisions of the proposed CJR model,
enabling the public to fully understand how the proposed model was
designed and could apply to affected providers. We acknowledge section
1115A(d)(2) of the Act, which states that there shall be no
administrative or judicial review of, among other things, ``the
selection of organizations, sites, or participants to test . . . models
selected,'' as well as the commenter's concern that this provision
would preclude a participant hospital from appealing its selection as a
participant in the CJR model. However, it is precisely because the
model will impose new requirements upon participant hospitals that we
undertook notice and comment rulemaking to implement it.
In response to the comment indicating that we misread section
1115A(a)(5) of the Act, we believe that the commenter misunderstood the
reference to that provision in the proposed rule. The reference to
section 1115A(a)(5) of the Act was made in the context of the
discussion of selecting certain MSAs within which we will test the
model. We do not rely on section 1115A(a)(5) of the Act specifically as
the authority for a model in which participation is not voluntary;
rather, as noted previously, we rely on section 1115A of the Act as a
whole, as well as the Secretary's existing authority to carry out her
duties and administer the Medicare program.
We disagree with commenters that implementing the CJR model will
negatively affect beneficiaries' appeal rights. We note that normal
claims processes will continue under this model, including beneficiary
and provider appeal rights. We also refer readers to section III.C.9.
of this final rule for discussion of hospital appeals procedures under
the CJR model.
With regard to the comment about CMS sidestepping safeguards
designed to prevent imposing haphazard models prior to appropriate
vetting and testing, we reiterate that we have undertaken rulemaking to
solicit comprehensive public input on all aspects of the CJR model. In
addition, as previously noted, the CJR model has been designed to limit
selection bias, which will allow for more robust evaluation results
across a variety of providers.
We note that this is a new model, not an expansion of an existing
model. We disagree with the commenters who believe that we have
reversed the order of testing and expansion of Innovation Center
models. As permitted by section 1115A of the Act, we are testing the
CJR model within specified limited geographic areas. The fact that the
model will require the participation of certain hospitals does not mean
it is not an initial model test. If the model is successful such that
it meets the statutory requirements for expansion, and the Secretary
determines that expansion is warranted, we would undertake rulemaking
to implement the expansion, as required by section 1115A(c) of the Act.
Comment: Several commenters questioned how the proposed CJR model
relates to the potential for expansion of BPCI. Commenters also noted
that CMS included language in the FY 2016 IPPS/LTCH PPS proposed rule
requesting public input on an eventual expansion of BPCI.
Response: CMMI's three major priorities include testing new payment
and service delivery models, evaluating results and advancing best
practices, and engaging stakeholders. Since 2011, we have been working
to develop and test models of bundling Medicare payments under the
authority of section 1115A of the Act. Consistent with its ongoing
commitment to develop new models and refine existing models based on
additional information and experience, we may modify existing models or
test additional models under our authority under section 1115A of the
Act. The CJR model is a new, additional episode payment model being
tested under the authority of section 1115A of the Act. As such, it is
not an expansion of the BPCI initiative, which needs further evaluation
to determine its impact on both Medicare cost and quality before the
Secretary can determine whether the findings from the evaluation of the
initiative demonstrate that it meets all criteria for expansion,
consistent with the requirements of section 1115A(c) of the Act, and
that, based on these findings and other pertinent factors, expansion is
warranted.
In the FY 2016 IPPS/LTCH PPS proposed rule (80 FR 24414 through
24418), we solicited public comments regarding policy and operational
issues related to a potential expansion of the BPCI initiative in the
future. We explained that as we initiated discussions about potential
expansion, we continued to value stakeholder
[[Page 73279]]
engagement within the framework of our three priorities. With respect
to expansion, section1115A(c) of the Act, as added by section 3021 of
the Affordable Care Act, provides the Secretary with the authority to
expand through rulemaking the duration and scope of a model that is
being tested under section 1115A(b) of the Act, such as the BPCI
initiative (including implementation on a nationwide basis), if the
following findings are made, taking into account the evaluation of the
model under section 1115A(b)(4) of the Act: (1) The Secretary
determines that the expansion is expected to either reduce Medicare
spending without reducing the quality of care or improve the quality of
patient care without increasing spending; (2) the CMS Chief Actuary
certifies that the expansion would reduce (or would not result in any
increase in) net Medicare program spending; and (3) the Secretary
determines that the expansion would not deny or limit the coverage or
provision of Medicare benefits. The decision of whether or not to
expand BPCI will be made by the Secretary in coordination with CMS and
the Office of the Chief Actuary based on whether findings about the
initiative meet the statutory criteria for expansion under section
1115A(c) of the Act. We did not propose an expansion of any of the BPCI
models or any policy changes associated with those models in the FY
2016 IPPS/LTCH PPS proposed rule.
Although BPCI and the CJR model both include testing episode
payment for LEJR episodes of care, CJR differs from BPCI in significant
ways, as detailed throughout this final rule. Providers elected to
participate in BPCI, and were given a choice of various design
features, such as the clinical episodes included and the episode
length. The CJR model was designed in part based on feedback and
experience from BPCI, and will provide additional information on the
impact of episode payment for LEJR episodes across a variety of
hospitals, including those who may not have elected to participate in
the model. As previously discussed in this section, it is necessary to
require participation in the CJR model in order to avoid the selection
bias inherent to any voluntary model. When the CJR model begins on
April 1, 2016, we will be testing both episode payment models
concurrently for a period of time, as well as many other payment and
service delivery models, in order to gain information about the most
successful strategies to improve the quality of care and reduce
spending. The different design features of BPCI and the CJR model will
aid us in evaluating the success of episode-based payment across a
range of provider types and in a range of geographic areas. As
evaluation results addressing the impact of each model on Medicare
quality and cost become available, the Secretary will review this
information to determine whether the findings from the evaluation of
the model demonstrate that it meets all criteria for expansion,
consistent with the requirements of section 1115A(c) of the Act, and
that, based on these findings and other pertinent factors, expansion is
warranted.
Comment: Many commenters requested changes to the BPCI model in
response to the proposed rule. Commenters also requested clarification
on how BPCI awardees would be transitioned into the CJR model; for
example, which performance year policies would apply to the new model
participants.
Response: We will not address comments about BPCI policies in this
final rule. We will address commenters' suggestions on BPCI through our
usual processes for informing BPCI participants and the public of any
changes to BPCI. As discussed in section III.A of this final rule, all
Inpatient Prospective Payment System (IPPS) hospitals in the selected
MSAs that are not participating in BPCI Model 1 or Phase II of Models 2
or 4 for LEJR episodes would be included in the CJR model. We intend
for the current performance year's policies to be in effect for any new
entrants in the CJR model. We also note that an acute care hospital
formerly participating in BPCI for the LEJR episode will have likely
established care coordination and redesign strategies for success. As
such, it would not be necessary to grant such hospitals additional time
to transition from BPCI into the CJR model.
Comment: Numerous commenters requested that physicians who enter
into sharing arrangements with CJR hospitals qualify as eligible
professionals under the Medicare Access and Chip Reauthorization Act of
2015 (MACRA) beginning in 2019. A commenter requested that all CJR
collaborators qualify as eligible professionals under MACRA. Several
commenters outlined wholly different structures for the proposed CJR
model, including provisions that would allow for the CJR model to
qualify as an alternative payment model (APM) under MACRA.
Response: We interpret commenters' requests as follows: That
collaborators under the CJR model would be able to meet the
requirements that would otherwise apply under the Merit-based Incentive
Payment System (MIPS) or, alternatively, qualify as APM participants
under section 1833(z)(2) of the Act (and therefore be excluded from
MIPS) through their participation in CJR. We further interpret
commenters' requests as follows: That CJR would include eligible
alternative payment entities, and therefore that eligible professionals
in CJR would potentially be qualifying APM participants. We note that
the statute specifies which types of individuals qualify as eligible
professionals (EPs) under section 1848(k)(3)(B) of the Act or as MIPS
EPs under section 1848(q)(1)(C) of the Act. We plan to develop
regulations under MACRA through notice and comment rulemaking. We will
be releasing further guidance on the implementation of MACRA, and
through such guidance, will be clarifying the parameters for
eligibility under MACRA.
Comment: Several commenters presented different episode payment
models for CMS' consideration to be tested in addition to or instead of
the CJR model, or suggested such major changes to the proposed CJR
model design elements that the result of their adoption would be a
wholly different test of episode payment than CMS proposed. A few
commenters recommended that CMS consider testing a model that
emphasizes the role of PAC providers in managing episode care for
beneficiaries, instead of just the hospital. Such a model would assign
financial responsibility during an episode to a PAC entity with
capabilities to coordinate care across a wide range of post-acute
settings. Other commenters suggested that CMS test a model that would
create physician-led organizations to manage financial risk for LEJR
episodes of care, instead of assigning risk to hospitals. These
organizations would receive prospective episodic payments and allocate
such payments among the providers and suppliers furnishing care to
beneficiaries during an LEJR episode. Several commenters recommended
CMS implement a population-based model similar to an Accountable Care
Organization (ACO) model, in lieu of an episode-based payment model.
Finally, a commenter requested that instead of including rural and low-
volume hospitals in the CJR model, CMS develop a model tailored to this
subset of providers.
Response: We appreciate the suggestions for alternatives to the CJR
model design that were recommended by the commenters, including the
details and rationale provided about many features of those models. We
are
[[Page 73280]]
not adopting these approaches to an episode payment model under this
final rule as we did not propose the design elements of such models for
public notice and comment nor did we propose the additional policies
that would be required to implement such features that do not rely on
existing Medicare definitions (for example, the definition of a
physician-led organization to manage risk). However, we note that we
are constantly considering modifications to existing models and
designing new models under our testing authority under section 1115A of
the Act, taking into consideration stakeholder input received through
many channels, including public comments on this proposed rule and the
FY 2016 IPPS/LTCH PPS proposed rule discussion item on potential BPCI
expansion considerations, as well as feedback from providers
participating in existing models. We note that potential modifications
to the CJR model would go through notice and comment rulemaking as
necessary. As we consider developing additional payment service and
delivery models, we will continue to engage with stakeholders and
review all of the information available to us about alternative
approaches to episode payment that could be tested.
B. Summary of the Major Provisions
1. Model Overview: LEJR Episodes of Care
LEJR procedures are currently paid under the IPPS (IPPS) through
one of two Medicare Severity-Diagnosis Related Groups (MS-DRGs): MS-DRG
469 (Major joint replacement or reattachment of lower extremity with
Major Complications or Comorbidities (MCC)) or MS-DRG 470 (Major joint
replacement or reattachment of lower extremity without MCC). Under the
CJR model, as described further in section III.B of this final rule,
episodes will begin with admission to an acute care hospital for an
LEJR procedure that is assigned to MS-DRG 469 or 470 upon beneficiary
discharge and paid under the IPPS and will end 90 days after the date
of discharge from the acute care hospital. This episode of care
definition offers operational simplicity for providers and CMS. The
episode will include the LEJR procedure, inpatient stay, and all
related care covered under Medicare Parts A and B within the 90 days
after discharge, including hospital care, PAC, and physician services.
2. Model Scope
We have finalized that participant hospitals will be the episode
initiators and bear financial risk under the CJR model. In comparison
to other health care facilities, hospitals are more likely to have
resources that will allow them to appropriately coordinate and manage
care throughout the episode, and hospital staff members are already
involved in hospital discharge planning and PAC recommendations for
recovery, key dimensions of high quality and efficient care for the
episode. We require all hospitals paid under the IPPS in selected
geographic areas to participate in the CJR model, with limited
exceptions. Eligible beneficiaries who elect to receive care at these
hospitals will automatically be included in the model. We have selected
geographic areas based on a stratified random sampling methodology
within strata using the following criteria: historical wage adjusted
episode payments and population size. Our geographic area selection
process is detailed further in section III.A of this final rule.
3. Payment
We will test the CJR model for 5 performance years. We have
finalized an alternative start date for the model from the timeline set
forth in the proposed rule. As discussed in further detail in section
III.C.2.a. of this final rule, the first performance year for the CJR
model will begin on April 1, 2016 and end on December 31, 2016. During
these performance years we will continue paying hospitals and other
providers and suppliers according to the usual Medicare FFS payment
systems. However, after the completion of a performance year, the
Medicare claims payments for services furnished to the beneficiary
during the episode, based on claims data, will be combined to calculate
an actual episode payment. The actual episode payment is defined as the
sum of related Medicare claims payments for items and services
furnished to a beneficiary during a CJR episode. The actual episode
payment will then be reconciled against an established CJR target price
that is stratified based on the beneficiary's fracture status, with
consideration of additional payment adjustments based on quality
performance, post-episode spending, and policies to limit hospital
financial responsibility. The amount of this calculation, if positive,
will be paid to the participant hospital. This payment will be called a
reconciliation payment. If negative, we will require repayment from the
participant hospital. Medicare will require repayment of the difference
between the actual episode payments and the CJR target price from a
participant hospital if the CJR target price is exceeded.
We will make reconciliation payments to participant hospitals that
achieve quality outcomes and cost efficiencies relative to the
established CJR target prices in all performance years of the model. We
will also phase in the requirement that participant hospitals whose
actual episode payments exceed the applicable CJR target price pay the
difference back to Medicare beginning in performance year 2. Under this
final rule, Medicare will not require repayment from hospitals for
performance year 1 for actual episode payments that exceed their target
price in performance year 1.
We will also limit how much a hospital can gain or lose based on
its actual episode payments relative to target prices. We have also put
in place additional policies to further limit the risk of high payment
cases for all participant hospitals and for special categories of
participant hospitals as described in section III.C. of this final
rule.
4. Similar, Previous, and Concurrent Models
The CJR model is informed by other models and demonstrations
currently and previously conducted by CMS and will explore additional
ways to enhance coordination of care and improve the quality of
services through bundled payments. We recently announced the Oncology
Care Model (OCM), a new voluntary payment model for physician practices
administering chemotherapy. Under OCM, practices will enter into
payment arrangements that include financial and performance
accountability for episodes of care surrounding chemotherapy
administration to cancer patients. We plan to coordinate with other
payers to align with OCM in order to facilitate enhanced services and
care at participating practices. More information on the OCM can be
found on CMMI's Web site at: https://innovation.cms.gov/initiatives/Oncology-Care/. Medicare tested innovative approaches to paying for
orthopedic services in the Medicare Acute Care Episode (ACE)
demonstration, a prior demonstration, and is currently testing
additional approaches under BPCI. Both of these models have also
informed the design of the CJR model.
Under the authority of section 1866C of the Act, we conducted a 3-
year demonstration, the ACE Demonstration. The demonstration used a
prospective global payment for a single episode of care as an
alternative approach to payment for service delivery under traditional
Medicare FFS. The episode
[[Page 73281]]
of care was defined as a combination of Part A and Part B services
furnished to Medicare FFS beneficiaries during an inpatient hospital
stay for any one of a specified set of cardiac and orthopedic MS-DRGs.
The MS-DRGs tested included 469 and 470, which are included in the CJR
model. The discounted bundled payments generated an average gross
savings to Medicare of $585 per episode for a total of $7.3 million
across all episodes (12,501 episodes) or 3.1 percent of the total
expected costs for these episodes. After accounting for increased PAC
costs that were observed at two sites, Medicare saved approximately $4
million, or 1.72 percent of the total expected Medicare spending. More
information on the ACE Demonstration can be found on CMMI's Web site
at: https://innovation.cms.gov/initiatives/ACE/.
We are currently testing the BPCI initiative. The BPCI initiative
is comprised of four related payment models, which link payments for
multiple services that Medicare beneficiaries receive during an episode
of care into a bundled payment. Under the initiative, entities enter
into payment arrangements with CMS that include financial and
performance accountability for episodes of care. Episodes of care under
the BPCI initiative begin with either--(1) An inpatient hospital stay;
or (2) PAC services following a qualifying inpatient hospital stay. The
BPCI initiative is evaluating the effects of episode-based payment
approaches on patient experience of care, outcomes, and cost of care
for Medicare FFS beneficiaries. Each of the four models tests LEJR
episodes of care. While final evaluation results for the models within
the BPCI initiative are not yet available, we believe that CMS'
experiences with BPCI support the design of the CJR model. Under
section 1115A(c) of the Act, the Secretary may, taking into
consideration an evaluation conducted under section 1115A (b)(4) of the
Act, ``through rulemaking, expand (including implementation on a
nationwide basis) the duration and the scope of a model that is being
tested under'' CMMI's authority. CJR is not an expansion of BPCI, and
BPCI may be expanded in the future. We published a discussion item
soliciting public comment on a potential future expansion of one or
more of the models within BPCI in the FY2016 IPPS rule, 80 FR 24414
through 24418. CJR will not be an expansion or modification of BPCI;
nor does it reflect comments received in response to the proposed rule
for the 2016 IPPS Rule. CJR is a unique model that tests a broader,
different group of hospitals than BPCI. It is necessary to provide CMS
with information about testing bundled payments to hospitals that are
required to participate in an APM. For a discussion of why we are
requiring hospitals to participate in the CJR model, see section III.A.
of this final rule.
The CJR model's design was informed to a large degree by our
experience with BPCI Model 2. BPCI's Model 2 is a voluntary episode
payment model in which a qualifying acute care hospitalization
initiates a 30, 60 or 90 day episode of care. The episode of care
includes the inpatient stay in an acute care hospital and all related
services covered under Medicare Parts A and B during the episode,
including PAC services. More information on BPCI Model 2 can be found
on CMMI's Web site at: https://innovation.cms.gov/initiatives/BPCI-Model-2/.
Further information of why elements of the OCM, the ACE
Demonstration, and BPCI Model 2 were incorporated into the design of
the CJR model appears later in this final rule.
5. Overlap With Ongoing CMS Efforts
We are excluding from participation in CJR certain hospitals
participating in the risk-bearing phase of BPCI Models 2 and 4 for LEJR
episodes, as well as acute care hospitals participating in BPCI Model
1. We are not excluding beneficiaries in CJR model episodes from being
included in other Innovation Center models or CMS programs, such as the
Medicare Shared Savings Program (Shared Savings Program), as detailed
later in this final rule. We will account for overlap, that is, where
CJR beneficiaries are also included in other models and programs, to
ensure the financial policies of CJR are maintained and results and
spending reductions are attributed to the correct model or program.
6. Quality Measures and Reporting Requirements
We are adopting two hospital-level quality of care measures for the
CJR model. Those measures include a complications measure and a patient
experience survey measure. We will use these measures in the model pay-
for-performance payment methodology, as well as to test the success of
the model in achieving its goals under section 1115A of the Act and to
monitor for beneficiary safety. We intend to publicly report this
information on the Hospital Compare Web site. Additionally, we will
encourage the voluntary submission of data to support the development
of a hospital-level measure of patient-reported outcomes following an
elective primary total hip (THA) or total knee arthroplasty (TKA)
through incorporation of the measure in the composite quality scoring
methodology described in III.C.5. of this final rule.
7. Data Sharing Process
We will share data with participant hospitals upon request
throughout the performance period of the CJR model to the extent
permitted by the HIPAA Privacy Rule and other applicable law. We will
share upon request both raw claims-level data and claims summary data
with participants. This approach will allow participant hospitals
without prior experience analyzing claims to use summary data to
receive useful information, while allowing those participant hospitals
who prefer raw claims-level data the opportunity to analyze claims. We
will provide hospitals with up to 3 years of retrospective claims data
upon request that will be used to develop their target price, as
described in section III.C. of this final rule. In accordance with the
HIPAA Privacy Rule, we will limit the content of this data set to the
minimum data necessary for the participant hospital to conduct quality
assessment and improvement activities and effectively coordinate care
of its patient population.
8. Beneficiary Protections
Under the CJR model, beneficiaries retain the right to obtain
health services from any individual or organization qualified to
participate in the Medicare program. Under the CJR model, eligible
beneficiaries who receive services from a participant hospital will not
have the option to opt out of inclusion in the model. We require
participant hospitals to supply beneficiaries with written information
regarding the design and implications of this model as well as their
rights under Medicare, including their right to use their provider of
choice. We will also make a robust effort to reach out to beneficiaries
and their advocates to help them understand the CJR model.
We also will use our existing authority, if necessary, to audit
participant hospitals if claims analysis indicates an inappropriate
change in delivered services. Beneficiary protections are discussed in
greater depth in section III.E. of this final rule.
9. Financial Arrangements and Program Policy Waivers
We will hold participant hospitals financially responsible for CJR
LEJR episodes as participants in the model as discussed in section
III.C.6. of this final
[[Page 73282]]
rule. Specifically, only these hospital participants will be directly
subject to the requirements of this final rule for the CJR model.
Participant hospitals will be responsible for ensuring that other
providers and suppliers collaborating with the hospital on LEJR episode
care redesign are in compliance with the terms and conditions of the
model, including any applicable program policy waivers.
Several of the Medicare program policy waivers outline the
conditions under which SNFs and physicians could furnish and bill for
certain services furnished to CJR beneficiaries where current Medicare
programs rules will not permit such billing. We draw the attention of
SNFs and physicians to these waivers, which are included in section
III.C.11.b.(5). of this final rule.
C. Summary of Economic Effects
As shown in our impact analysis, we expect the CJR model to result
in savings to Medicare of $343 million over the 5 performance years of
the model. We note that a composite quality score will be calculated
for each hospital in order to determine eligibility for a
reconciliation payment and whether the hospital qualifies for quality
incentive payments that will reduce the effective discount percentage
experience by the hospital at reconciliation for a given performance
year.
More specifically, in performance year 1 of the model, we estimate
a Medicare cost of approximately $11 million, as hospitals will not be
subject to downside risk in the first year of the model. As we
introduce downside risk beginning in performance year 2 of the model,
we estimate Medicare savings of approximately $36 million. In
performance year 3 of the model, we estimate Medicare savings of $71
million. In performance years 4 and 5 of the model, we will move from
target episode pricing that is based on a hospital's experience to
target pricing based on regional experience, we estimate Medicare
savings of $120 million and $127 million, respectively.
As a result, we estimate the net savings to Medicare to be $343
million over the 5 performance years of the model. We anticipate there
will be a broader focus on care coordination and quality improvement
for LEJR episodes among hospitals and other providers and suppliers
within the Medicare program that will lead to both increased efficiency
in the provision of care and improved quality of the care provided to
beneficiaries.
We note that under section 1115A(b)(3)(B) of the Act, the Secretary
is required to terminate or modify a model unless certain findings can
be made with respect to savings and quality after the model has begun.
If during the course of testing the model it is determined that
termination or modification is necessary, such actions will be
undertaken through rulemaking as necessary.
II. Background
A General Background
This final rule finalizes the implementation of a new innovative
health care payment model under the authority of section 1115A of the
Act. Under the model, called the CJR model, acute care hospitals in
certain selected geographic areas will receive bundled payments for
episodes of care where the diagnosis at discharge includes a lower
extremity joint replacement (LEJR) or reattachment of a lower extremity
that was furnished by the hospital. The bundled payment will be paid
retrospectively through a reconciliation process; hospitals and other
providers and suppliers will continue to submit claims and receive
payment via the usual Medicare FFS payment systems. All related care
covered under Medicare Part A and Part B within 90 days after the date
of hospital discharge from the joint replacement procedure will be
included in the episode of care. We believe this model will further our
goals of improving the efficiency and quality of care for Medicare
beneficiaries for these common medical procedures.
B. Acronym of This Model
We have changed the acronym of this model to ``CJR'' and have
updated all references in this rule and the regulations to reflect this
change.
C. Public Comments Received in Response to the CJR Proposed Rule
We received approximately 400 timely pieces of correspondence
containing multiple comments on the CJR proposed rule. We note that
some of these public comments were outside of the scope of the proposed
rule. These out-of-scope public comments are mentioned but not
addressed with the policy responses in this final rule. Summaries of
the public comments that are within the scope of the proposed rule and
our responses to those public comments are set forth in the various
sections of this final rule under the appropriate heading.
III. Provisions of the Proposed Regulations and Analysis of and
Responses to Public Comments
A. Definition of the Episode Initiator and Selected Geographic Areas
1. Background
The CJR model is different from BPCI because it would require
participation of all hospitals (with limited exceptions) throughout
selected geographic areas, which would result in a model that includes
varying hospital types. However, a discussion of BPCI is relevant
because its design informs and supports the proposed CJR model. The
BPCI model is voluntary, and under that model we pay a bundled payment
for an episode of care only to entities that have elected to
participate in the model. We are interested in testing and evaluating
the impact of an episode payment approach for LEJRs in a variety of
other circumstances, including among those hospitals that have not
chosen to voluntarily participate because we have not tested bundled
payments for these hospitals previously. This would allow CMS and
participants to gain experience testing and evaluating episode-based
payment for LEJR procedures furnished by hospitals with a variety of
historic utilization patterns; roles within their local markets; volume
of services provided; access to financial, community, or other
resources; and population and health care provider density. Most
importantly, participation of hospitals in selected geographic areas
will allow CMS to test bundled payments without introducing selection
bias such as the selection bias inherent in the BPCI model due to self-
selected participation.
2. Definition of Episode Initiator
Under the CJR model, as described further in section III.B. of this
final rule, episodes will begin with admission to an acute care
hospital for an LEJR procedure that is paid under the IPPS through
Medical Severity Diagnosis-Related Group (MS-DRG) 469 (Major joint
replacement or reattachment of lower extremity with MCC) or 470 (Major
joint replacement or reattachment of lower extremity without MCC) and
end 90 days after the date of discharge from the hospital. For the CJR
model, we proposed that hospitals would be the only episode initiators.
For purposes of CJR, the term ``hospital'' means a hospital as defined
in section 1886(d)(1)(B) of the Act. This statutory definition of
hospital includes only acute care hospitals paid under the IPPS. We
proposed that all acute care hospitals in Maryland would be
[[Page 73283]]
excluded from CJR. The state of Maryland entered into an agreement with
CMS, effective January 1, 2014, to participate in CMS' new Maryland
All-Payer Model. In order to implement the Maryland All-Payer Model,
CMS waived certain requirements of the Act, and the corresponding
implementing regulations, as set forth in the agreement between CMS and
Maryland. Specifically, under the Maryland All-Payer Model, Maryland
acute care hospitals are not paid under the IPPS or Outpatient
Prospective Payment System (OPPS) but rather are paid under rates set
by the state. Following the model's performance period, Maryland will
transition to a new model that incorporates the full spectrum of care,
not just hospital services. As such, with respect to Maryland
hospitals, CMS intends to test and develop new payment and delivery
approaches that can incorporate non-hospital services in a manner that
accounts for Maryland's unique hospital rate setting system and permit
Maryland to develop its own strategy to incentivize higher quality and
more efficient care across clinical situations within and beyond
hospitals, including but not limited to LEJR episodes of care. We
proposed that because Maryland hospitals are not paid under the IPPS or
OPPS, payments to Maryland hospitals will be excluded in the regional
pricing calculations as described in section III.C.4. of this final
rule. We sought comment on whether there were potential approaches for
including Maryland acute care hospitals in CJR. In addition, we sought
comment on whether Maryland hospitals should be included in CJR in the
future upon any termination of the Maryland All-Payer Model.
The following is a summary of the comments received and our
responses.
Comment: Several commenters commented on the proposed exclusion of
Maryland hospitals in the All-Payer model from the model. A commenter
requested that if we are considering approaches for including Maryland
acute care hospitals in the CJR model that we ensure that the inclusion
of such hospitals would not jeopardize the current all-payer system in
Maryland. If such an approach were to be developed, the commenter noted
that it would welcome the opportunity to participate in the CJR model
and further stated that it is confident that it would be successful
under the CJR model in helping to further to goals of providing high
quality care at lower costs to better patient outcomes and population
health. Another commenter noted that Maryland's All-Payer Model
Agreement is focused on holding hospitals accountable for improving
care, improving health, and reducing the total cost of hospital care
for all payers. Under the All-Payer model, Maryland has shifted its
long-standing hospital rate-setting system from a volume-based system,
focused on cost per case, to a global population-based system that
incorporates performance requirements for quality and outcomes. The
Maryland system will be held accountable for the total cost of care for
Medicare patients under its contract with CMS and thus already has two-
sided risk for hospital costs. The commenter stated that Maryland wants
to work with CMS to develop a unique approach to achieving the goals of
the model, but under the All-Payer model. Lastly, another commenter
expressed confusion if we were announcing a plan to have Maryland
transition to a new model that incorporates the full spectrum of care,
not just hospital services.
Response: Under the All-Payer model, Maryland has facilitated the
movement of regulated hospital revenue into population-based payment
reimbursement under a hospital global budget model. We appreciate the
state's efforts to move away from volume-based payments and to focus on
reducing total cost of care and improving quality of care, and we have
seen improvement on these areas in the first year of the All-Payer
model. However, we remain concerned that certain aspects of the All-
Payer Model make it challenging for Maryland to be included in other
payment and delivery innovations being launched by the CMS Innovation
Center. As we anticipate testing more models across the country, we do
not want Maryland to fall behind in payment and delivery innovation. We
are very interested in Maryland's strategy to be accountable for total
cost of care beyond hospital services, which we intend to implement
under the All-Payer model in 2019. We note that we are not announcing a
new model for Maryland in this rule, but rather the CMS Innovation
Center looks forward to working with Maryland on its total cost of care
model.
Comment: Several commenters agreed with CMS that Maryland hospitals
should not be included in our definition of ``hospital'' and, instead,
the state of Maryland should be allowed to develop its own strategy to
encourage higher quality care and efficiencies across clinical
settings.
Response: We agree that for the purposes of the CJR model, the term
``hospital'' should only encompass hospitals currently paid under the
IPPS and we are finalizing as proposed to exclude Maryland hospitals
from the CJR model.
Final Decision: After consideration of the public comments we
received, we are finalizing, for purposes of the CJR model, the term
``hospital'' to mean a hospital subject to the IPPS as defined in
section 1886(d)(1)(B) of the Act. This statutory definition of hospital
includes only acute care hospitals paid under the IPPS, thus excluding
Maryland hospitals from participating in CJR and excluding payments to
Maryland hospitals in regional pricing calculations described in
section III.C.4 of this final rule. This definition will be codified in
Sec. 510.2
We proposed to designate IPPS hospitals as the episode initiators
to ensure that all Medicare FFS LEJR services furnished by participant
hospitals in selected geographic areas to beneficiaries who do not meet
the exclusion criteria (specified in section III.B.3. and section
III.C.7. of this final rule) are included in the CJR model. Given that
our proposal that the LEJR episode begins with an admission to a
hospital paid under the IPPS that results in a discharge assigned to
MS-DRG 469 or 470, we further believed that utilizing the hospital as
the episode initiator is a straightforward approach for this model
because the hospital furnishes the LEJR procedure. In addition, we
noted our interest in testing a broad model in a number of hospitals
under the CJR model in order to examine results from a more generalized
payment model. Thus, we believed it is important that, in a model where
hospital participation is not voluntary, all Medicare FFS LEJR episodes
that begin at the participant hospital in a selected geographic area
should be included in the model for beneficiaries that do not meet the
exclusion criteria specified in section III.B.3. of this final rule and
are not LEJR BPCI episodes that we are excluding as outlined in this
section and also in section III.C.7 of this final rule. This is best
achieved if the hospital is the episode initiator. Finally, as
described in the following sections that present our proposed approach
to geographic area selection, this geographic area selection approach
relies upon our definition of hospitals as the entities that initiate
episodes. We sought comment on our proposal to define the episode
initiator as the hospital under CJR. However, commenters generally
commented on our proposal to define the episode initiator as the
hospital in tandem with comments regarding the proposal that the
hospital also be the entity financially responsible for the episode of
care under CJR. As such, comments regarding the proposed
[[Page 73284]]
episode initiator and the entity financially responsible for the
episode of care are summarized in section III.A.2. of this final rule.
3. Financial Responsibility for the Episode of Care
BPCI Model 2 participants that have entered into agreements with
CMS to bear financial responsibility for an episode of care include
acute care hospitals paid under the IPPS, health systems, physician-
hospital organizations, physician group practices (PGPs), and non-
provider business entities that act as conveners by coordinating
multiple health care providers' participation in the model. Thus, our
evaluation of BPCI Model 2 will yield information about how results for
LEJR episodes may differ based on differences in which party bears
financial responsibility for the episode of care. For the CJR model, we
proposed to make hospitals financially responsible for the episode of
care.
Although we proposed that hospitals would bear the financial
responsibility for LEJR episodes of care under CJR, because there are
LEJR episodes currently being tested in BPCI Model 1, 2, 3 or 4, we
believed that participation in CJR should not be required if it would
disrupt testing of LEJR episodes already underway in BPCI models.
Therefore, we proposed certain exceptions for instances where IPPS
hospitals located in an area selected for the model are active
participant hospitals or episode initiators for LEJR episodes as of
July 1, 2015, and exceptions for LEJR episodes initiated by other
providers or suppliers under certain BPCI models.
The following is a summary of the comments received and our
responses.
Comment: Most commenters expressed overall support for the CJR
model, with some commenters noting that the CJR model could help to
transform care delivery through improved care coordination and
financial accountability. Several commenters further expressed support
for our proposal to designate hospitals as the episode initiators and
the entity financially responsible for the episode of care under the
CJR model. These commenters agreed that hospitals should bear the
responsibility of implementing the CJR model and further agreed with
being able to share this responsibility with ``collaborators'' through
gainsharing agreements. The commenters noted that the themes
surrounding responsibility and cost in conjunction with quality as
presented in the proposed rule were encouraging and show a continued
focus on bettering outcomes and patient engagement while lowering
costs.
Response: We thank the commenters for their support. As noted in
the proposed rule, the intent of the CJR model is to promote quality
and financial accountability for episodes of care surrounding a lower-
extremity joint replacement (LEJR) or reattachment of a lower extremity
procedure. We anticipate the CJR model would benefit Medicare
beneficiaries by improving the coordination and transition of care,
improving the coordination of items and services paid for through
Medicare FFS, encouraging more provider investment in infrastructure
and redesigned care processes for higher quality and more efficient
service delivery, and incentivizing higher value care across the
inpatient and PAC spectrum spanning the episode of care (80 FR 41198).
Comment: Several commenters disagreed with the proposal for the CJR
model to limit financial responsibility for the episode of care to only
hospitals. Commenters advocated for PGPs or orthopedic surgeons to be
financially responsible, while other commenters advocated for PAC
entities to be financially responsibility for the episode of care.
Commenters listed a variety of reasons why orthopedic physician groups
and/or PAC providers should be financially responsible for the episode
of care. Some commenters stated that the episode initiator for the CJR
model should be a physician, as key clinical decisions about care
within the episode are made by physicians, including determining what
kind of follow-up care is needed. A few commenters stated that the
episode initiator should be the PAC provider, similar to BPCI Model 3,
since much of the reduction in CJR episode costs could occur through
changes in PAC utilization. A few commenters stated that CMS should
distribute program risk across all providers within the episode of care
and not delegate that function to the hospital because during a CJR
episode, ideal care and successful care coordination involve multiple
providers across the care continuum and is especially dependent on PAC
providers. Finally, several commenters stated that with gainsharing
there is greater opportunity for the physician to participate in
patient care redesign, but that unless the physician is also
financially responsible, physician involvement in the full care
redesign would be less than ideal.
Response: As noted in the proposed rule (80 FR 41204 through
41205), because the CJR model is testing a more generalizable model by
including providers that might not participate in a voluntary model, we
believe it is most appropriate to identify a single type of provider to
bear financial responsibility for making repayment to CMS under the CJR
model as one entity needs to be ultimately responsible for ensuring
that care for CJR model beneficiaries is appropriately furnished and
coordinated in order to avoid fragmented approaches that are often less
effective and more costly. Hospitals play a central role in
coordinating episode-related care and ensuring smooth transitions for
beneficiaries undergoing LEJR procedures. Most hospitals already have
some infrastructure in place related to patient and family education
and health information technology as hospitals receive incentive
payments for the adoption and meaningful use of interoperable health
information technology (HIT) and qualified electronic health records
(EHRs). In addition, hospitals are required by the hospital Conditions
of Participation (CoPs) to have in effect a discharge planning process
that applies to all patients (Sec. 482.43). As part of the discharge
planning process, hospitals are required to arrange for the initial
implementation of the discharge plan (Sec. 482.43(c)(3)), which
includes coordinating with PAC providers, a function usually performed
by hospital discharge planners or case managers. Thus hospitals can
build upon already established infrastructure, practices, and
procedures to achieve efficiencies under this episode payment model.
Many hospitals also have recently heightened their focus on aligning
their efforts with those of community providers to provide an improved
continuum of care due to the incentives under other CMS models and
programs, including ACO initiatives such as the Medicare Shared Savings
Program, and the Hospital Readmissions Reduction Program (HRRP),
establishing a base for augmenting these efforts under the CJR model.
Hospitals are also more likely than other providers and suppliers to
have an adequate number of episode cases to justify an investment in
episode management for this model, have access to resources that would
allow them to appropriately manage and coordinate care throughout the
LEJR episode, and hospital staff is already involved in discharge
planning and placement recommendations for Medicare beneficiaries, and
more efficient PAC service delivery provides substantial opportunities
for improving quality and reducing costs under CJR.
We considered requiring treating physicians (orthopedic surgeons or
[[Page 73285]]
others) or their associated PGPs, if applicable, to be financially
responsible for the episode of care under the CJR Model. However, the
services of providers and suppliers other than the hospital where the
acute care hospitalization for the LEJR procedure occurs would not
necessarily be furnished in every LEJR episode. For example, that
physicians of different specialties play varying roles in managing
patients during an acute care hospitalization for a surgical procedure
and during the recovery period, depending on the hospital and community
practice patterns and the clinical condition of the beneficiary and
could not be assumed to be included in every LEJR episode. This
variability would make requiring a particular physician or PGP to be
financially responsible for a given episode very challenging. If we
were to assign financial responsibility to the operating physician, it
is likely that there would be significant variation in the number of
relevant episodes that could be assigned to an individual person. Where
the physician was included in a PGP, episodes could be aggregated to
this group level but this would not be possible for all cases and would
likely still have multiple instances with physicians with a very low
volume of cases. We acknowledge that providers and suppliers with low
volumes of cases may not find it in their financial interests to make
systematic care redesigns or engage in an active way with the CJR
model. We expect that low volume hospitals may achieve less savings
compared to their target episode payments for the simple reason that
they would not find the financial incentive present in the CJR
sufficiently strong to cause them to shift their practice patterns.
While this concern is present in low volume hospitals, it is much more
likely to occur if physicians are financially responsible for episode
costs because physicians typically do not have the case volume to
justify an investment in the infrastructure needed to adequately
provide the care coordination services required under the CJR model
(such as dedicated support staff for case management), which leads us
to believe that as a result, the model would be less likely to succeed.
Although the BPCI initiative allows a PGP and PAC providers to have
financial responsibility for episodes of care, the physician groups and
PAC providers electing to participate in BPCI have done so because
their business structure supports care redesign and other
infrastructure necessary to bear financial responsibility for episodes
and is not necessarily representative of the typical group practice or
PAC provider. Most of the PGPs in BPCI are not bearing financial
responsibility, but are participating in BPCI as partners with convener
organizations, which enter into agreements with CMS on behalf of health
care providers, through which they accept financial responsibility for
the episode of care. The PAC providers in BPCI are not at risk for
episodes that include more than just the post-anchor hospital discharge
period. The incentive to invest in the infrastructure necessary to
accept financial responsibility for the entire CJR episode of care,
starting at admission to an acute care hospital for an LEJR procedure
that is paid under the IPPS MS-DRG 469 or 470 and ending 90 days after
the date of discharge from the hospital, would not be present across
all PGPs and PAC providers. Thus we do not believe it would be
appropriate to designate PGPs or PAC providers to bear the financial
responsibility for making repayments to CMS under the CJR model where
participation is mandatory, rather than voluntary in nature,
potentially causing this model to be less likely to succeed. We may
consider, through future rulemaking, other episode of care models in
which PGPs or PAC providers are financially responsible for the costs
of care.
Comment: Several commenters suggested that conveners--non-provider
business entities that coordinate multiple health care providers'
participation in the model--should also be allowed to bear financial
responsibility for episodes of care under the proposed CJR model. A
commenter suggested that instead of making hospitals responsible for
managing payments and costs, a management organization should be
designated or created to manage the costs and payments.
Response: In the BPCI initiative, participants have entered into a
variety of relationships with entities above the hospital level. Some
of these relationships are ones where the financial responsibility is
borne by an entity other than the hospital, such as a parent
organization (known as awardee conveners). Other relationships between
hospitals and other organizations (known as facilitator conveners) are
more managerial or consultative where financial responsibility remains
with the episode initiator (for example, the hospital). We acknowledge
the important role that conveners play in the BPCI initiative with
regard to providing infrastructure support to hospitals and other
entities initiating episodes in BPCI. The convener relationship (where
another entity assumes financial responsibility) may take numerous
forms, including contractual (such as a separate for-profit company
that agrees to take on a hospital's financial risk in the hopes of
achieving financial gain through better management of the episodes) and
through ownership (such as when financial responsibility is borne at a
corporate level within a hospital chain). However, we proposed that for
the CJR model we would hold only the participant hospitals financially
responsible for the episode of care. This is consistent with the goal
of evaluating the impact of bundled payment and care redesign across a
broad spectrum of hospitals with varying levels of infrastructure and
experience in entering into risk-based reimbursement arrangements. If
conveners were included as participants in CJR, we may not gain the
knowledge of how a variety of hospitals can succeed in relationship
with CMS in which they bear financial risk for the episode of care.
While we proposed that the participant hospital be financially
responsible for the episode of care under CJR, we agreed that effective
care redesign for LEJR episodes requires meaningful collaboration among
acute care hospitals, PAC providers, physicians, and other providers
and suppliers within communities to achieve the highest value care for
Medicare beneficiaries. We believe it may be essential for key
providers and suppliers to be aligned and engaged, financially and
otherwise, with the hospitals, with the potential to share financial
responsibility with those hospitals. As such, CJR participant hospitals
may enter into relationships with other entities in order to manage the
episode of care or distribute risk. We refer readers to section
III.C.10 of this final rule for further discussion of financial
arrangements between participant hospitals and other providers and
suppliers. Depending on a hospital's current degree of clinical
integration, new and different contractual relationships among
hospitals and other health care providers and suppliers may be
important, although not necessarily required, for CJR model success in
a community. We acknowledge that financial incentives for other
providers and suppliers may be important aspects of the model in order
for hospitals to partner with these providers and suppliers and
incentivize certain strategies to improve episode efficiency.
As noted in the proposed rule (80 FR 41261), in addition to
providers and
[[Page 73286]]
suppliers with which the participant hospital may want to enter into
financial arrangements to share risks and rewards, we expect that
participant hospitals may choose to engage with organizations that are
neither providers nor suppliers to assist with matters such as: Episode
data analysis; local provider and supplier engagement; care redesign
planning and implementation; beneficiary outreach; CJR beneficiary care
coordination and management; monitoring participant hospital compliance
with the terms and conditions of the CJR model; or other model-related
activities. These organizations may play important roles in a
hospital's plans to implement the CJR model based on the experience
these organizations may bring to the hospital's successful
participation in the model, such as prior experience with bundled
payment initiatives, care coordination expertise, familiarity with the
local community, and knowledge of Medicare claims data. All
relationships established between participant hospitals and these
organizations for purposes of the CJR model would only be those
permitted under existing law and regulation, meaning that gainsharing
agreements between hospitals and organizations that are neither
providers nor suppliers are not permitted. Hospital relationships with
organizations other than providers and suppliers would be based solely
on the ability of such organizations to directly support the
participant hospitals' CJR model implementation.
Comment: Numerous commenters urged CMS to implement the CJR model
on a voluntary basis, rather than requiring hospitals to participate.
Commenters observed that the CJR model was unprecedented, unjustified,
and risky for beneficiaries, because it was the first time CMS would
require participation of providers who may not have the interest,
experience, capability, or infrastructure to carry out what is
necessary for an experiment whose outcomes are unknown. Other
commenters claimed that some of the hospitals in the selected MSAs
would not be prepared for model participation due to a lack of
resources to better coordinate care, insufficient infrastructure, low
patient volumes, and lack of negotiating power in their communities,
among other reasons. A few commenters disagreed with designating
hospitals as financially responsible for the episode of care under CJR
if the hospital cannot withdraw its participation if it cannot thrive
under the model. The commenters stated that absent readmissions,
hospitals have limited influence over other, non-surgical costs
associated with joint replacements, such as PAC, rehabilitation, home
care, doctors' visits, and more. Conversely, a commenter wrote that
there may be some hospitals not in the selected MSAs that would like to
participate in CJR and would be precluded from doing so unless CMS
opens the model to other hospitals who volunteered to participate.
Several commenters requested that CMS continue to test voluntary
payment models so that providers can continue to tailor bundled payment
reforms to their particular patient populations, practice settings,
markets, infrastructure, and administrative resources. A commenter
stated that requiring participation in the CJR model may preclude
testing of alternative, potentially more effective, approaches. Another
commenter contended that requiring participation in this model for
providers who may also be participating in a voluntary payment model
could create confusion and competing incentives. Commenters further
questioned the appropriateness of requiring participation in CJR, given
that hospitals may not have contractual agreements with other providers
and suppliers furnishing services during an episode. Finally, several
commenters contended that the CJR model could result in beneficiary
harm; a commenter stated that because participation in the CJR model is
required, CMS should be held responsible for any harm to beneficiaries
as a result of the model.
Response: We appreciate the views of the commenters on our proposal
for required participation in the CJR model test of LEJR episode
payment. We recognize that the CJR model represents the first time the
Innovation Center will require hospital participation in a payment
model being tested under section 1115A of the Act, and we have engaged
in rulemaking to ensure robust opportunity for public notice and
comment on the model and its design. This model will allow CMS to gain
experience with making bundled payments to hospitals who have a variety
of historic utilization patterns; different roles within their local
markets; various volumes of services; different levels of access to
financial, community, or other resources; and various levels of
population and health provider density including local variations in
the availability and use of different categories of PAC providers. We
believe that by requiring the participation of a large number of
hospitals with diverse characteristics, the CJR model will result in a
robust data set for evaluation of this bundled payment approach, and
will stimulate the rapid development of new evidence-based knowledge.
Testing the model in this manner will also allow us to learn more about
patterns of inefficient utilization of health care services and how to
incentivize the improvement of quality for common LEJR procedure
episodes. Finally, requiring participation removes selection bias and
gives CMS a better, more accurate picture of the effects of the model
for consideration of any potential expansion on a national scale.
We have multiple years of experience with several types of large
voluntary episode payment models where we have successfully
collaborated with participants on implementation of episode payment in
a variety of settings for multiple clinical conditions. We believe the
relatively narrow scope of the model (LEJR episodes only), the phasing
in of full financial responsibility over multiple years of the model,
and our plan to engage with hospitals to help them succeed under this
model through the provision of claims data, will aid hospitals in
succeeding under the CJR model. As discussed in section III.C.2. of
this final rule, we are also finalizing that the model's first
performance period will begin April 1, 2016, instead of on January 1,
2016 as originally proposed. The longer notice of the final model
policies before implementation will provide hospitals with more time to
prepare for participation by identifying care redesign opportunities,
beginning to form financial and clinical partnerships with other
providers and suppliers, and using data to assess financial
opportunities under the model.
We acknowledge commenters' concern that some hospitals not in a
selected MSA may desire to participate in the CJR model. We also note
that CMS will continue to test voluntary bundled payment models,
including those already undergoing testing through the BPCI initiative,
which offered several open periods over the past few years where
interested hospitals and other organizations could join. We expect that
many providers will continue to engage in initiatives such as BPCI, and
may also participate in other emerging models in the coming years. The
coexistence of voluntary initiatives such as BPCI alongside new models
in which providers are required to participate will provide CMS,
providers, and beneficiaries with multiple opportunities to benefit
from various care redesign and payment reform initiatives. We will also
continue
[[Page 73287]]
to explore alternative approaches that may also prove effective in
improving care for beneficiaries while reducing spending.
We disagree that requiring participation in the CJR model could
create confusion and competing incentives for hospitals already
participating in voluntary initiatives. We note that simultaneous
testing of multiple bundled payment models is appropriate in many
situations, depending on the care targeted under each model. Section
III.C.7. of this final rule lays out our policies for accounting for
overlap between models and contains discussion of the potential
synergies and improved care coordination we expect will ensue through
allowing for hospitals and beneficiaries to be engaged in more than one
initiative simultaneously.
We appreciate that not all hospitals will have contractual
arrangements with providers and suppliers furnishing services to
beneficiaries during LEJR episodes. However, this final rule lays out
the various financial arrangements that will be permitted under the CJR
model, to allow hospitals the opportunity to engage with other
providers and suppliers and to form clinical and financial
partnerships. Section III.C.10. of this final rule details the
requirements for these financial arrangements. Although hospitals will
not be required to form financial relationships with other providers
and suppliers, we expect many will do so in order to help align the
clinical and financial incentives of key providers and suppliers caring
for CJR model beneficiaries.
Finally, we do not see how participation in the CJR model, in and
of itself, would lead to beneficiary harm and that if beneficiary harm
were to occur, that CMS would be responsible. First, and most
importantly, we note that under the model, providers and suppliers are
still required to provide all medically necessary services, and
beneficiaries are entitled to all benefits that they would receive in
the absence of the model. Second, we note that we have employed many
payment systems, such as IPPS, and payment models, such as BPCI and
ACOs, that include similar economic incentives to promote efficiency,
and we have not determined that beneficiaries have been harmed by those
systems and models. Third, we note that CMS has numerous tools and
monitoring plans which are both specific to this model and common to
all FFS Medicare. These include audits, monitoring of utilization and
outcomes within the model, and the availability of Quality Improvement
Organization (QIOs) and 1-800-MEDICARE for reporting beneficiary
concerns, among other protections. The CJR model includes monitoring to
ensure beneficiary access, choice, and quality of care is maintained
under the model. We refer readers to section III.F. of this final rule
for discussion of beneficiary protections and monitoring under the CJR
model. The model pricing structure, discussed in III.C. of this final
rule, also includes features to protect against such potential harm,
such as responsibility for post-episode spending increases, stop-gain
policies that set a maximum threshold a hospital can earn for savings
achieved during episodes, and other policies as detailed in that
section. In summary, we note that this payment model does not constrain
the practice of medicine and we do not expect clinical decisions to be
made on the basis of the payment amount.
Comment: Several commenters stated that all states selected to
participate in the proposed HHVBP should be exempted from having to
participate in the CJR model. Commenters stated that forcing HHAs to
participate in two mandatory models simultaneously is harsh and
punitive and would likely skew the results of both models in areas of
overlap.
Response: Only participant hospitals under the CJR model are
financially responsible to CMS for the episode of care. HHAs will
continue to be paid the FFS amount that they would otherwise receive
for beneficiaries included in the CJR model. Therefore, there is no
reason to exempt hospitals located in MSAs selected for participation
in CJR that are also located in states selected for participation in
the HHVBP model.
Comment: Many commenters expressed concern with the interaction
between BPCI and the proposed joint replacement model due to instances
where LEJR episodes excluded from CJR due to BPCI would cause a low
volume issue for certain hospitals. Other commenters stated that the
proposed CJR model penalizes providers that are voluntarily
participating in the BPCI initiative and suggested that CMS allow
hospitals in selected MSAs to be allowed to choose between
participation in BPCI and the joint replacement model.
Response: Because there are LEJR episodes currently being tested in
BPCI Models 1, 2, 3 and 4, we noted in the proposed rule that we
believed that participation in CJR should not be required if it would
disrupt testing of LEJR episodes already underway in BPCI models.
Therefore, we proposed that IPPS hospitals located in an area selected
for the model that are active Model 1 BPCI participant hospitals as of
July 1, 2015, or episode initiators for LEJR episodes in the risk-
bearing phase of Model 2 or 4 of BPCI as of July 1, 2015, would be
excluded from participating in CJR during the time that their
qualifying episodes are included in one of the BPCI models. We clarify
that we will utilize current information on BPCI participation to
determine whether a given hospital is included in CJR. For example, if
a hospital elected to participate in the LEJR episode under BPCI Model
2 in September 2015, that hospital would not be included in CJR during
the time that their qualifying episodes are included in BPCI. Likewise,
we proposed that if the participant hospital is not an episode
initiator for LEJR episodes under BPCI Model 2, then LEJR episodes
initiated by other providers or suppliers under BPCI Model 2 or 3
(where the surgery takes place at the participant hospital) would be
excluded from CJR. Otherwise qualifying LEJR episodes (that is, those
that are not part of a Model 3 BPCI LEJR episode or a Model 2 PGP-
initiated LEJR episode) at the participant hospital would be included
in CJR. We are testing a model where participation is not voluntary;
therefore, it would not be appropriate for hospitals in selected MSAs
to be allowed to choose between participation in BPCI and the joint
replacement model. If hospitals were allowed to voluntarily participate
in the CJR model, this would introduce selection bias and hamper CMS'
ability to analyze how such a payment model potentially would work on a
national scale. In addition, a hospital interested in participating in
a voluntary model had the opportunity under BPCI. In response to
concerns regarding the interaction between BPCI and CJR and potential
for too few LEJR episodes at a given hospital to remain under the CJR
model, low volume concerns are discussed and addressed in section
III.A.4.b of this final rule.
Comment: Some commenters requested CMS to allow hospitals
participating in ACOs that achieved shared savings in recent
performance periods, Shared Savings Program ACOs (Track 2 and Track 3),
and full-risk ACOs (such as Next Generation ACO), to opt-out of
participation in the CJR model.
Response: As we previously noted and in the proposed rule, many
hospitals have recently heightened their focus on aligning their
efforts with those of community providers to provide an improved
continuum of care due to the incentives under other CMS models and
programs. Therefore, hospitals that are already involved in ACO
initiatives and
[[Page 73288]]
the HRRP have already established a base for augmenting these efforts
under the CJR model (80 FR 41205). Therefore, we see no compelling
reason why hospitals participating in ACO initiatives and other efforts
cannot be participant hospitals in the CJR model. However, adjustments
to account for overlaps with other innovation center models and CMS
programs are discussed in section III.C.7. of this final rule.
Comment: A commenter stated that a CMS Certification Number (CCN)
can include multiple hospitals. The commenter inquired, if at least one
hospital under the CCN is in a selected MSA, would the entire CCN be
required to participate in the CJR model. The commenter also requested
if some of the hospitals in the CCN are not eligible for the CJR
program, would they be required to participate because they are under
the same CCN.
Response: The proposed approach indicated that CMS would base
selection on the physical location of the hospital. The manner in which
CMS tracks and identifies hospitals is through the CCN. In keeping with
this approach, the CJR model will administer model-related activities
at the CCN level including the determination of physical location. The
physical location associated with the CCN at the time of the model
start will be used to determine whether that CCN is located in a
selected MSA. For hospitals that share a CCN across various locations,
all hospitals under that CCN would be required to participate in the
CJR model if the physical address associated with the CCN is in the
MSA, unless otherwise excluded. Similarly, all hospitals under the same
CCN, even if some are physically located in the MSA selected for
participation, would not participate in in the CJR model if the
physical address associated with the CCN is not in the MSA. Our
analysis of the hospitals in the selected MSAs indicates that this
phenomenon is not present in the selected areas.
Final Decision: After consideration of the public comments we
received, we are finalizing the proposal to designate IPPS hospitals as
the episode initiators. The initiation of an episode is described in
Sec. 510.100. We are also finalizing our proposal to require IPPS
hospitals physically located in an area selected for participation in
the CJR model, according to the address associated with the CCN, to
participate in the model and bear the financial responsibility for LEJR
episodes of care under the CJR model. Finally, we are finalizing our
proposal that hospitals selected for the model that are active Model 1
BPCI participant hospitals as of July 1, 2015, or episode initiators
for LEJR episodes in the risk-bearing phase of Model 2 or 4 of BPCI as
of October 1, 2015, are excluded from participating in CJR during the
time that their qualifying episodes are included in one of the BPCI
models. However, LEJR episodes initiated by other providers or
suppliers under BPCI Model 2 or 3 (where the surgery takes place at the
participant hospital) are excluded from CJR. Otherwise qualifying LEJR
episodes (that is, those that are not part of a Model 3 BPCI LEJR
episode or a Model 2 physician group practice-initiated LEJR episode)
at the participant hospital are included in CJR. The definition of a
``participant hospital'' and ``CJR-regional hospital'' will be codified
in Sec. 510.2, exclusions to episodes being tested due to BPCI overlap
will be codified in Sec. 510.100(b). The following chart illustrates
the inclusion of episodes in CJR relative to BPCI.
[GRAPHIC] [TIFF OMITTED] TR24NO15.000
4. Geographic Unit of Selection and Exclusion of Selected Hospitals
In determining which hospitals to include in the CJR model, we
considered whether the model should be limited to hospitals where a
high volume of LEJRs are performed, which would result in a more narrow
test on the effects of an episode-based payment, or whether to include
all hospitals in particular geographic areas, which would result in
testing the effects of an episode-based payment approach more broadly
across an accountable care community seeking to coordinate care
longitudinally across settings. Selecting certain hospitals where a
high volume of LEJRs are performed may allow for fewer hospitals to be
selected as model participants, but still result in a sufficient number
of CJR episodes to
[[Page 73289]]
evaluate the success of the model. However, there would be more
potential for behavioral changes that could include patient shifting
and steering between hospitals in a given geographic area that could
impact the test. Additionally, this approach would provide less
information on testing episode payments for LEJR procedures across a
wide variety of hospitals with different characteristics. Selecting
geographic areas and including all IPPS hospitals in those areas not
otherwise excluded due to BPCI overlap as previously described and in
section III.C.7. of the proposed rule as model participants would help
to minimize the risk of participant hospitals shifting higher cost
cases out of the CJR model. Moreover, in selecting geographic areas we
could choose certain characteristics, stratify geographic areas
according to these characteristics, and randomly select geographic
areas from within each stratum. Such a stratified random sampling
method based on geographic area would allow us to observe the
experiences of hospitals with various characteristics, such as
variations in size, profit status, and episode utilization patterns,
and examine whether these characteristics impact the effect of the
model on patient outcomes and Medicare expenditures within episodes of
care. Stratification would also substantially reduce the extent to
which the selected hospitals will differ from non-selected hospitals on
the characteristics used for stratification, which would improve the
statistical power of the subsequent model evaluation, improving our
ability to reach conclusions about the model's effects on episode costs
and the quality of patient care. Therefore, given the authority in
section 1115A(a)(5) of the Act, which allows the Secretary to elect to
limit testing of a model to certain geographic areas, we proposed to
use a stratified random sampling method to select geographic areas and
require all hospitals paid under the IPPS in those areas to participate
in the CJR model and be financially responsible for the cost of the
episode, with certain exceptions as previously discussed and in
sections III.B.3 and III.C.7. of the proposed rule.
a. Overview and Options for Geographic Area Selection
In determining the geographic unit for the geographic area
selection for this model, we considered using a stratified random
sampling methodology to select--(1) Certain counties based on their
Core-Based Statistical Area (CBSA) status, (2) certain zip codes based
on their Hospital Referral Regions (HRR) status; or (3) certain states.
We address each geographic unit in turn.
We considered selecting certain counties based on their CBSA
status. A CBSA is a core area containing a substantial population
nucleus, together with adjacent communities having a high degree of
economic and social integration within that core. Counties are
designated as part of a CBSA when the county or counties or equivalent
entities are associated with at least one core (urbanized area or urban
cluster) of at least 10,000 in population, plus adjacent counties
having a high degree of social and economic integration with the core
as measured through commuting ties with the counties associated with
the core. There are 929 CBSAs currently used for geographic wage
adjustment purposes across Medicare payment systems.\4\ The 929 CBSAs
include 388 MSAs, which have an urban core population of at least
50,000, and the 541 Micropolitan Statistical Areas ([mu]SA), which have
an urban core population of at least 10,000 but less than 50,000. CBSAs
may be further combined into a Combined Statistical Area (CSA) which
consists of two or more adjacent CBSAs (MSAs or [mu]SAs or both) with
substantial employment interchange. Counties not classified as a CBSA
are typically categorized and examined at a state level.
---------------------------------------------------------------------------
\4\ As stated in the FY 2014 IPPS/LTCH PPS proposed rule (78 FR
27552) and final rule (78 FR 50586), on February 28, 2013, OMB
issued OMB Bulletin No.13-01, which established revised delineations
for MSAs, [mu]SA s, and CSAs, and provided guidance on the use of
the delineations of these statistical areas. A copy of this bulletin
may be obtained at https://www.whitehouse.gov/sites/default/files/omb/bulletins/2013/b-13-01.pdf.
---------------------------------------------------------------------------
The choice of a geographical unit based on CBSA status could mean
selection of a CBSA, an MSA, or a CSA. We proposed basing the selection
on an MSA, which we will discuss later in this section.
We proposed that counties not in an MSA would not be subject to the
selection process. These counties not subject to selection would
include the [mu]SA counties and the counties without a core urban area
of at least 10,000. These areas are largely rural areas and have a
limited number of qualifying LEJR cases. Relatively few of these areas
would be able to qualify for inclusion based on the minimum number of
LEJR episodes in year requirement discussed later in this section.
We considered, but ultimately decided against, using CSA
designation instead of MSAs as a potential unit of selection. Under
this scenario, we would look at how OMB classifies counties. We would
first assess whether a county has been identified as belonging to a
CSA, a unit which consists of adjacent MSAs or [mu]SAs or both. If the
county was not in a CSA, we would determine if it was in an MSA that is
not part of a larger CSA. Counties not associated with a CSA or an MSA
would be unclassified and excluded from selection. These unclassified
areas would include the counties in a state that were either not a CBSA
(no core area of at least 10,000) or associated with a [mu]SA (core
area of between 10,000 and 50,000) but unaffiliated with a CSA.
Whether to select on the basis of CSA/MSAs or just on MSAs was
influenced by a number of factors. We considered the following factors:
CSAs, by definition, have a significantly lower degree of
interchange between component parts than the interchange experienced
within an MSA. Thus, we did not believe that using CSAs would be
necessary in order to capture referral patterns. A case study
examination of the geographic areas included in CSAs with respect to
the health care markets of those areas and their respective parts
helped to validate our conclusion.
We assessed the anticipated degree to which LEJR patients
would be willing to travel for their initial hospitalization.
We assessed the extent to which surgeons are expected to
have admitting privileges in multiple hospitals located in different
MSAs.
We considered the degree to which we desire to include
hospitals within [mu]SAs that are part of a larger CSA.
After examining these factors, we concluded that that the
anticipated risk for patient shifting and steering between MSAs within
a CSA was not severe enough to warrant selecting CSAs given CMS'
preference for smaller geographic units. However, because MSAs are
units with significant levels of social and commercial exchange and due
to the mobility of patients and providers within MSAs, we believed that
selecting complete MSAs is preferable to selecting metropolitan
divisions of MSAs for inclusion in the CJR model. We use the
metropolitan divisions to set wage indices for its prospective payment
systems (PPSs). Of the 388 MSAs, there are 11 MSAs that contain
multiple metropolitan divisions. For example, the Boston-Cambridge-
Newton, MA-NH MSA is divided into the following metropolitan divisions:
Boston, MA.
Cambridge-Newton-Framingham, MA.
Rockingham County-Strafford County, NH.
[[Page 73290]]
The Seattle-Tacoma-Bellevue, WA MSA is divided into the following
metropolitan divisions:
Seattle-Bellevue-Everett, WA.
Tacoma-Lakewood, WA.
We proposed selecting entire MSAs rather than sub-divisions within
an MSA.
We next considered selecting HRRs. HRRs represent regional health
care markets for tertiary medical care. There are 306 HRRs with at
least one city where both major cardiovascular surgical procedures and
neurosurgery are performed. HRRs are defined by determining where the
majority of patients were referred for major cardiovascular surgical
procedures and for neurosurgery.\5\ Compared to MSAs, HRRs are
classified based on where the majority of beneficiaries within a zip
code receive their hospital services for selected tertiary types of
care. The resulting HRRs represent the degree to which people travel
for tertiary care that generally requires the services of a major
referral center and not the size of the referral network for more
routine services, such as knee and hip arthroplasty procedures. In
addition, because HRRs are defined based on referrals for
cardiovascular surgical procedures and neurosurgery, they may not
reflect referrals for orthopedic procedures. Therefore, we believed
that MSAs as a geographic unit are preferable over HRRs for this model.
---------------------------------------------------------------------------
\5\ The Dartmouth Atlas of Healthcare, https://www.dartmouthatlas.org/data/region/. Accessed on April 9, 2015.
---------------------------------------------------------------------------
We also considered selecting states for the CJR model. However, we
concluded that MSAs as a geographic unit are preferable over states for
the CJR model. As stated in section III.A.4.b. of the proposed rule, we
anticipate that hospitals that would otherwise be required to
participate in the CJR model would be excluded from the model because
their relevant LEJR episodes are already being tested in BPCI. If we
were to select states as the geographic unit, there is a potential that
an entire state would need to be excluded because a large proportion of
hospitals in that state are episode initiators of LEJR episodes in
BPCI. In contrast, if we excluded a specific MSA due to BPCI
participation, as discussed in the next section, we could still select
another MSA within that same state. Likewise, if we chose states as the
geographic unit, we would automatically include hospitals in all rural
areas within the state selected. If MSAs are selected for the
geographic unit, we anticipate that fewer small rural hospitals would
be included in the model. Using a unit of selection smaller than a
state would allow for a more deliberate choice about the extent of
inclusion of rural or small population areas. Selecting states rather
than MSAs would also greatly reduce the number of independent
geographic areas subject to selection under the model, which would
decrease the statistical power of the model evaluation. Finally, MSAs
straddle state lines where providers and Medicare beneficiaries can
easily cross these boundaries for health care. Choosing states as the
geographic unit would potentially divide a hospital market and set up a
greater potential for patient shifting and steering to different
hospitals under the model. The decision that the MSA-level analysis was
more analytically appropriate was based on the specifics of this model
and is not meant to imply that other levels of selection would not be
appropriate in a different model such as the proposed HHVBP model.
For the reasons previously discussed, we proposed to require all
IPPS hospitals to participate in the CJR model (with limited exceptions
as previously discussed in section III.A.2. of the proposed rule) if
located in an MSA selected through a stratified random sampling
methodology (outlined in section III.A.3.b. of the proposed rule) to
test and evaluate the effects of an episode-based payment approach for
an LEJR episodes. We proposed to determine that a hospital is located
in an area selected if the hospital is physically located within the
boundary of any of the counties in that MSA where the counties are
determined by the definition of the MSA as of the date the selection is
made. In response to comments, we are clarifying that we will determine
physical location using the address associated with the CCN of the
hospital. Although MSAs are revised periodically, with additional
counties added or removed from certain MSAs, we proposed to maintain
the same cohort of selected hospitals throughout the 5 performance
years of the model with limited exceptions as described later in this
section. Thus, we proposed that, if after the start of the model, new
counties are added to one of the selected MSAs or counties are removed
from one of the selected MSAs, those re-assigned counties would retain
the same CJR status they had at the beginning of the initiative. We
believed that this approach will best maintain the consistency of the
participants in the model, which is crucial for our ability to evaluate
the results of the model. We retain the possibility of adding a
hospital that is opened or incorporated within one of the selected
counties after the selection is made and during the period of
performance. (See section III.C.4. of the proposed rule for discussion
of how target prices will be determined for such hospitals.) Hospitals
in selected counties that do not have any LEJR cases that qualify for
CJR, due to their participation in the BPCI initiative as a hospital
initiator in an LEJR episode, will become subject to CJR at the time
their participation in BPCI ends and their episodes become eligible for
CJR. Although we considered including hospitals in a given MSA based on
whether the hospitals were classified into the MSA for IPPS wage index
purposes, this process would be more complicated, and we could not find
any compelling reasons favoring this approach. For example, we assign
hospitals to metro divisions of MSAs when those divisions exist. See
our previous discussion of this issue. In addition, there is the IPPS
process of geographic reclassification by which a hospital's wage index
value or standardized payment amount is based on a county other than
the one where the hospital is located. For the purpose of this model,
it is simpler and more straightforward to use the hospital's physical
location as the basis of assignment to a geographic unit. This decision
would have no impact on a hospital's payment under the IPPS. We sought
comment on our proposal to include participant hospitals for the CJR
model based on the physical location of the hospital in one of the
counties included in a selected MSA.
The following is a summary of the comments received and our
responses.
Comment: Commenters generally supported MSAs as the unit of
geographic selection. However, several had concerns regarding the
particular circumstances of their MSAs. Some commenters stated that
MSAs were too large and preferred the use of metropolitan regions for
large urban areas such as New York City, while others expressed concern
with the inclusion of rural portions of the MSA counties. Commenters
addressing the rural providers within the selected MSAs questioned
whether the inclusion of rural hospitals in the model was deliberate or
whether CMS believed hospitals in rural areas should not be included in
the CJR model. Other commenters expressed concern that MSAs were a
smaller than ideal unit of selection and that selecting MSAs for the
model would encourage practices such as funneling patients to hospitals
outside a selected MSA for surgery in order to avoid inclusion in the
model. Conversely, a commenter asserted that
[[Page 73291]]
participation in the model would result in a competitive advantage for
hospitals in a selected MSA through the use of gainsharing to recruit
physicians to move referrals into a selected market. Some commenters
were also concerned about patient shifting in or out of a selected MSA
in areas where the MSA was part of a larger CSA, such as in the Atlanta
CSA in which some, but not all, component MSAs were selected for
participation in the CJR model.
Response: We first address the issue of the inclusion of the
entirety of an MSA as the unit of selection rather than just the core
urban area. This was a deliberate choice reflecting the fact that we
seek to examine the performance of hospitals under CJR that could be
considered rural, low volume, or outside the urban core. Inclusion of
such hospitals in the model will give us insight on how the model
functions in these areas and increase the potential generalizability of
the model. The proposed rule proposed additional protections to
selected classes of hospitals such as SCHs, Medicare-Dependent
Hospitals (MDHs), and RCHs because we wanted to further protect these
federally-recognized categories of vulnerable hospitals while including
them in the model.
We chose MSAs as the unit of selection to balance the following
considerations: The scope for shifting patients in or out of selected
areas, our ability to observe the impact of the model in a variety of
circumstances, and our preference to not use a geographic unit larger
than strictly necessary to evaluate the model. We acknowledge that
there are inevitably tradeoffs among these criteria. With respect to
the choice of CSA versus MSA, a far greater number of commenters were
concerned with the inclusion of rural providers than were concerned
with their or their competitor's markets crossing the borders of MSAs
within a CSA. By definition, CSAs have a lesser degree of the
employment interchange than an MSA and basing the geographic unit of
selection on a CSA would entail the possibility of selecting [micro]SAs
within CSAs. On balance, we believe it is appropriate to limit the
extent of rural participation in CJR by confining it to rural areas
within MSAs. We are sympathetic to concerns related to the experience
of hospitals that are located near the borders between MSAs, but
believed that those concerns did not outweigh these other
considerations. In contrast, the density of populations and providers
at the borders of these markets was one of the reasons that we decided
to not proceed with allowing selection to be done based on metropolitan
divisions for those 11 MSAs that were so sub-divided. Metropolitan
divisions are very likely to have hospitals whose referral markets
straddle divisions and their use as a unit would have had been
problematic. After weighing the comments we continue to believe that
MSAs are the most appropriate compromise position for the choice of
geographic unit of selection.
Finally, we note that separate commenters stated that a hospital in
a CJR selected county could be either at both a competitive advantage
(for example, by providing an opportunity to attract physicians through
gainsharing), or a competitive disadvantage (for example, by causing
physicians to shift patients to nearby hospitals). We believe that both
phenomena may occur and that the ability of a hospital to use the
opportunities presented to it under the CJR model to strengthen its
relationship with other providers and potentially achieve savings will
vary by the hospital's specific circumstances and capabilities. We do
not see a strong argument for why these types of effects necessitate a
change to the geographic unit used for this model.
Comment: Some commenters contended that the CJR model has
inadequate participation by small and rural providers due to the
elimination of non-CBSA and [micro]SAs from the possibility of
selection for this model. The commenters wrote that CMS should include
more rural providers in order to foster a model that is not overly
tailored to large providers and urban areas. A commenter stated that
inclusion in the model would result in rural providers being more
prepared to adapt to future payment and delivery reforms. Another
stated that it was important to include more small volume hospitals,
and urged CMS to reconsider the implications of this exclusion and to
broaden the definition of geographic areas.
Response: We appreciate commenters' input on how to incorporate
rural providers in the CJR model and acknowledge commenters' concerns
related to the ability of small and rural providers to effectively
participate and succeed in the model. Our proposed approach to
including low-volume and non-urban providers within the selected MSAs
but removing from the possibility of selection counties that are not in
an MSA or in an MSA with less than 400 qualifying LEJR cases is an
appropriate strategy that allows for inclusion of rural providers in
the model, while not oversampling such providers.
Comments related to requests for exclusion of particular hospitals
are addressed in the next section, MSA Selection Methodology. Financial
protections for hospitals are addressed later in section III.C.8. of
this final rule.
Final Decision: After consideration of the public comments we
received, we are finalizing the proposal, without modification, to
utilize MSAs as the unit of selection for the model.
b. MSA Selection Methodology
We proposed to select the MSAs to include in the CJR model by
stratifying all of the MSAs nationwide according to certain
characteristics.
(1) Exclusion of Certain MSAs
Prior to assigning an MSA to a selection stratum, we examined
whether the MSA met specific proposed exclusion criteria. MSAs were
evaluated sequentially using the following 4 exclusion criteria: First,
MSAs in which fewer than 400 LEJR episodes (determined as discussed in
section III.B.2. of this final rule) occurred from July 1, 2013 through
June 30, 2014 were removed from possible selection. The use of the 400
LEJR cases in a year was based on a simple one-sided power calculation
to assess the number of episodes that would be needed to detect a 5
percent reduction in episode expenditures. Cases in hospitals paid
under either the critical access hospital (CAH) methodology or the
Maryland All-Payer Model are not included in the count of eligible
episodes. This criterion removed 156 MSAs from possible selection.
Second, MSAs were removed from possible selection if there were
fewer than 400 non-BPCI LEJR episodes in the MSA in the reference year.
For the purposes of this exclusion, the number of BPCI episodes was
estimated as the number of potentially eligible cases during the
reference year that occurred in acute care hospitals participating in
BPCI Model 1, or in phase 2 of BPCI Models 2 or 4 as of July 1, 2015
and the number of LEJRs in the reference year associated with these
hospitals was examined. This criterion removed an additional 24 MSAs
from potential selection.
Third, MSAs were also excluded from possible selection if the MSA
was dominated by BPCI Models 1, 2, 3, or 4 episodes to such a degree
that it would impair the ability of participants in either the CJR
model or the BPCI models to succeed in the objectives of the initiative
or impair the ability to set accurate and fair prices. We anticipate
that some degree of overlap in the two models will be mutually helpful
for both models. There are two steps to this exclusion. First, we
looked at the number of LEJR episodes at BPCI Model 1, 2 or 4
initiating hospitals and second,
[[Page 73292]]
the number of LEJR episodes among BPCI Model 3 SNF and Home Health
Agency (HHA) episode initiators. First, we excluded MSAs if more than
50 percent of otherwise qualifying proposed CJR episodes were in Phase
2 of BPCI Model 2 or 4 with hospital initiators. Second, we excluded
MSAs if either SNF or HHA BPCI Model 3 initiating providers accounted
for more than 50 percent of LEJR referrals to that provider type. As a
result of this third criterion, 4 additional MSAs were removed from
possible selection. No MSAs were excluded based on SNF or HHA
participation in Model 3.
Finally, MSAs were removed if, after applying the previous three
criteria they remained eligible for selection, but more than 50 percent
of estimated eligible episodes during the reference year were not paid
under the IPPS system. The purpose of this rule was to assess the
appropriateness of MSAs that contained both Maryland and non-Maryland
counties. No MSAs were eliminated on the basis of this rule. Please
refer to the appendix for this final rule for the status of each MSA
based on these exclusion criteria, available at https://innovation.cms.gov/initiatives/cjr/. After applying these four
exclusions, 196 MSAs remained to be stratified for purposes of our
proposed selection methodology.
The following is a summary of the comments received and our
responses.
Comment: Many commenters requested that we exclude additional MSAs
from the selection process. Commenters supported our exclusion of MSAs
with less than a minimum number of eligible LEJR episodes and a high
rate of BPCI LEJR penetration, but were concerned that the list of BPCI
participating providers used in making the exclusion determination did
not reflect providers entering BPCI as of October 1, 2015. Such
commenters recommended that CMS recalculate BPCI participation in LEJR
episodes in each MSA based on both hospital- and physician-led
participants and adjust the MSA selection accordingly. Commenters also
suggested adding additional selection criteria based on the overall
percent of LEJR episodes associated with a BPCI episode, the percent of
LEJR episodes associated with a PGP initiated BPCI episode, and the
percent of LEJR episodes associated with an ACO.
Response: In response to the comments, we re-examined the exclusion
rules based on an updated list of providers participating in the BPCI
initiative for LEJR episodes. We also examined the potential impact on
selection of MSAs that incorporating an updated list of BPCI
participants would have. For the purposes of the re-examination of
exclusion rule 2, which eliminates MSAs with less than 400 CJR
eligible, non-BPCI episodes, we estimated the BPCI LEJR episode count
as the number of potentially eligible cases during the reference year
that (1) occurred in an acute care hospital participating in BPCI Model
1 that would still be active as of April 1, 2016; (2) occurred in an
acute care hospital in a Phase 2 LEJR episode for BPCI Models 2 or 4 as
of October 1, 2015; or (3) were associated with an operating or
admitting physician on the hospital claim assigned to a PGP with an
LEJR episode in Phase 2 of BPCI Model 2 as of October 1, 2015. October
1, 2015 is the final quarter for which participants in Phase 1 of BPCI
could transition any episode into Phase 2. This represents a change to
the exclusion rule articulated in the proposed rule, in that it updates
the list of BPCI participants and also takes into account episodes
associated with Model 2 PGP episode initiators. As we did for exclusion
rule 2, we used the October 2015 list of BPCI participants to reassess
exclusion rule 3. Rule 3 removes an MSA if more than 50 percent of
patients were treated in a BPCI initiating hospital or if more than 50
percent of LEJR patients treated in a PAC setting of that type were
treated in a BPCI initiating HHA or SNF.
After we made the previously stated changes, some MSAs previously
eligible for selection would now be considered excluded. Additionally,
two of the MSAs previously excluded would now be eligible for selection
due to hospitals withdrawing from BPCI and the MSAs now having more
than 400 eligible cases. Eight MSAs that were selected in the proposed
rule would be classified as excluded on the basis of these updated
exclusion rules.
We considered a variety of alternative approaches to address the
changes in the eligibility of MSAs. First, we considered proceeding
with the list of 75 MSAs as initially selected and using the exclusion
rules as initially proposed. Second, we considered removing the 8
selected MSAs that would now be excluded on the basis of the updated
BPCI participation numbers. Third, we considered replacing the 8 MSAs
by randomly selecting new MSAs from the remaining MSAs in the relevant
strata. However, we believed that it would preferable, although not
required, to give the selected MSAs a consistent period of time between
selection and the start of the model. Fourth, we contemplated creating
a revised list of eligible MSAs and randomly selecting a new group of
75 MSAs. Given the concern of many commenters about the start date of
the model, we were reluctant to create a completely new list of
selected MSAs. We believe that making a new selection would be regarded
unfavorably by impacted MSAs and hospitals and should be avoided if
possible. In order to be responsive to concerns regarding the growth of
BPCI after the publication of the proposed rule and the increase in PGP
participation in BPCI, we are proceeding with the second option.
The function of the stratification approach was to ensure that our
selection of MSAs covered a range of efficiency levels and population
sizes and allowed us to target our sampling percentages so as to
oversample in the less efficient areas. Regarding the selected MSAs now
eliminated, they are distributed fairly evenly throughout the
distribution of average episode payments. From the least expensive to
the most expensive quartiles, the number selected and now eliminated
are, in order, 2/15 (13 percent), 2/19 (11 percent), 3/30 (15 percent),
and 1/22 (5 percent). We also believe that the removal of these 8 MSAs
from the model will not preclude us from undertaking a rigorous
statistical evaluation of the model.
Given the aforementioned information, we believe that the
relatively minor reduction in statistical power due to not re-selecting
MSAs is outweighed by the desire to give affected participant hospitals
equal time to prepare for the model. We are removing the 8 MSAs as
noted in Table 1.
Table 1--MSAs That Were Previously Selected That Are No Longer Included
in CJR
------------------------------------------------------------------------
Revised exclusion Revised exclusion
CBSA title rule 2 status rule 3 status
------------------------------------------------------------------------
Colorado Springs, CO............ Fail.............. Pass.
Evansville, IN-KY............... Fail.............. Pass.
Fort Collins, CO................ Fail.............. Pass.
Las Vegas-Henderson-Paradise, NV Fail.............. Fail.
[[Page 73293]]
Medford, OR..................... Fail.............. Pass.
Richmond, VA.................... Fail.............. Pass.
Rockford, IL.................... Fail.............. Pass.
Virginia Beach-Norfolk-Newport Pass.............. Fail.
News, VA-NC.
------------------------------------------------------------------------
We next contemplated whether to apply additional MSA-level
exclusion rules. We investigated a potential new rule whereby an MSA
would be excluded based on the percent of the MSA's qualifying LEJR
episodes associated with Phase 2 Model 2 PGP initiators. We did not
believe that there was as strong of an argument for excluding MSAs on
the basis of the percent of patients treated by a BPCI physician given
that the hospital is the financially accountable entity in CJR. We
examined two possible cut off points (>65 percent and >50 percent) to
assess which MSAs would be eliminated if we were to exclude MSAs where
a specific percent of an MSA's otherwise qualifying LEJR cases was
attributable to a BPCI PGP. At 65 percent, no selected MSAs not
otherwise excluded were impacted. 8 MSAs that were previously selected
had more than 50 percent of their LEJRs performed by BPCI PGPs. Five of
these 8 MSAs are already eliminated due to the revised exclusion rule
2. For markets with more than 400 non-BPCI cases but more than 50
percent BPCI PGP penetration, the number of the CJR eligible patients
was between 556 and 1834 indicating that there was a sizable number of
cases. Consequently, we did not find this new exclusion rule necessary.
Comment: Commenters requested modifications to the proposed
exclusions of specific categories of hospitals within an MSA. While
commenters stated a variety of concerns, many of them were related to
the request that CMS exclude low volume hospitals from the model.
Commenters made requests around specific categories of hospitals
including Medicare Dependent Hospitals (MDHs), Sole Community Hospitals
(SCHs), Rural Referral Centers (RRCs), hospitals that are reclassified
as rural, hospitals perceived of as rural or outside of a core urban
area, and larger hospitals with a low potential CJR LEJR volume due to
the exclusion of their patients because their LEJR episodes were
initiated by a PGP BPCI LEJR episode initiator.
Commenters provided a variety of rationales for why they believed
it was undesirable or unfair to include low volume providers in the
model. These reasons include, but are not limited to, observations
that--
Low-volume providers are less likely to be proficient at
taking care of these patients in an efficient cost-effective manner and
they will be less likely to achieve savings;
Low-volume hospitals will be disproportionately impacted
by outlier cases and will have less predictable cost and quality
outcomes making it difficult for them to manage the model effectively.
In addition, low volume providers are likely to see a greater
proportion of hip fractures and non-planned procedures;
Low-volume hospitals will have less control over and
ability to impact the behavior of other providers. The pool of
collaborating providers such as orthopedic surgeons in most rural
communities may be limited and small hospitals may not have the market
position to successfully influence others' behavior;
Hospitals with a limited number of Medicare hip and knee
procedures may not have sufficient incentive to invest the time and
resources necessary to develop the infrastructure and partnerships
required to effectively manage these episodes of care and may not find
the opportunity to improve patient outcomes significant enough to
engage referring physicians and PAC partners for redesign;
Low volume providers may be more financially vulnerable
and with fewer resources to design and carry out initiatives or make
effective responses to the financial incentives in the model. A
commenter noted concerns with hospital margins, and the possibility for
the reductions in revenue as a result of the loss of volume or loss of
margin under CJR could result in additional hospital closures.
Due to these concerns, commenters requested a variety of solutions
including (1) the exclusion of hospitals based on a volume cut off
variously defined by volume of eligible LEJR cases, LEJR cases within
specific MS-DRGs and total hospital volume, (2) making the model
voluntary for low volume providers, (3) extending the protections
afforded to SCH, MDH and RRC to additional categories of hospitals
including hospitals electing to be treated as rural under Sec.
412.103, and (4) the provision of additional protections or payment
adjustments beyond what was included in the proposed rule.
Response: We acknowledge the fact that hospitals, particularly low
volume hospitals, are concerned and would like to increase their
probability of receiving reconciliation payments under CJR while
minimizing the possibility of reduction in revenue. We refer readers to
the following sections of this final rule: Section III.C.8. for a
discussion of hospital financial protections, III.C.4. for a discussion
of how we will determine target prices for hospitals with low volume,
and section III.C.4. for a discussion of target prices for hip fracture
patients. We believe that the modification of the treatment of hip
fractures in the payment methodology should allay many concerns of
small and rural providers. This change may disproportionately impact
them since emergency surgeries, such as hip fractures, have a higher
probability of being performed in low volume settings.
As stated in relation to comments requesting that CJR operate as a
voluntary model, the inclusion of low volume hospitals in the CJR model
is consistent with the goal of evaluating the impact of bundled payment
and care redesign across a broad spectrum of hospitals with varying
levels of infrastructure, care redesign experience, market position,
and other considerations and circumstances. The design of the CJR model
and the inclusion of low volume providers within the model reflects our
interest in testing and evaluating the impact of a bundled payment
approach for LEJR procedures in a variety of circumstances, especially
among those hospitals that may not otherwise participate in such a
test. The inclusion of these providers allows CMS to better appreciate
and understand how the model operates as a general payment approach and
its impact on a wide range of hospitals. Many LEJR surgeries are
performed in low volume settings, thus, the impact of the CJR model on
low volume hospitals is of great interest to the evaluation of this
initiative.
We acknowledge that providers with low volumes of cases may not
find it in their financial interests to make
[[Page 73294]]
systematic care redesigns or engage in an active way with the CJR
model. We expect that low volume providers may decide that their
resources are better targeted to other efforts because they do not find
the financial incentive present in the CJR sufficiently strong to cause
them to shift their practice patterns. We acknowledge that low volume
hospitals may achieve less savings because they did not or could not
make the necessary changes to the treatment of their qualifying
beneficiary population. We believe this choice is similar in nature to
that made as hospitals decide their overall business strategies and
where to focus their attentions.
Comment: Many commenters requested that CMS exclude hospitals where
more than 50 percent of the eligible LEJRs performed at a hospital
would be attributed to a PGP initiated BPCI episode and would thus not
be in CJR. The majority of these commenters were concerned about low
volumes of patients, which is addressed in the previous comment and
response. Some were concerned about the operational complexity of
identifying, tracking, and managing patients treated in CJR versus
BPCI.
Response: We will not exclude IPPS hospitals in selected MSAs other
than as already specified or allow IPPS hospitals to opt out of
participation in CJR. As previously noted in the discussion on low
volume hospitals, we consider the inclusion of low volume providers a
core feature of the model that will aid us in understanding the impact
of a variety of providers in various circumstances. Similarly, we do
not believe it is necessary or appropriate to exclude hospitals on the
basis of some of the surgeons in their hospitals being associated with
a BPCI PGP. Like with more traditional low volume providers, the extent
to which a hospital alters its behavior in response to the CJR model
will likely be the result of a variety of factors including but not
limited to the anticipated number of cases. It should be noted that the
revised exclusion rule that resulted in the elimination of 8 MSAs was
based on failing to meet a minimum MSA number of LEJRs and not based on
either the number of LEJRs at a particular hospital or the portion of
PGPs at any level of analysis. If an IPPS hospital in a selected area
has some of their LEJR cases qualify as CJR episodes and some that do
not due to BPCI participation, Medicare Advantage status or any other
reason, the fact that CJR cases are not their full caseload will not be
considered a reason for exclusion of the hospital.
With respect to challenges that hospitals may experience related to
identifying eligible patients and following them over the course of
their episodes, we acknowledge that concern. However, we consider the
improved tracking and communication with other providers and suppliers
that is likely to occur as a result of hospital efforts in CJR to be a
benefit of the model that will improve the coordination of patient care
and possibly improve patient outcomes.
Comment: Two commenters raised the issue of hospital systems
spanning more than one MSA. They requested that CMS either allow all of
the hospitals in the system to be included in CJR or allow all of the
hospitals to be excluded. Commenters stated that the additional
administrative burden associated with two concurrent Medicare payment
methodologies would be unduly burdensome. Additionally, commenters
stated that CMS should develop criteria under which all providers in
health systems with a significant number of BPCI participants would be
excluded from the CJR model due to operational challenges to managing
the BPCI and CJR models simultaneously within a health care system.
Response: With respect to the request that all members within a
health system be allowed to have all of their hospitals participate in
BPCI because operating under two systems is too onerous, if a health
system made the choice to enter some but not all of their locations
into BPCI, they have already made the business decision to operate
partly under one incentive structure and partly under another. We do
not believe that the existence of CJR model as proposed should change
the timelines for transitioning to Phase 2 of BPCI. We will not exclude
hospitals from the model on the basis that some of the hospitals in its
health system are participating in BPCI or some of the hospitals in its
health system have CCNs with addresses located in a non-selected MSA.
The CJR model will require hospitals within selected geographic
areas to participate (unless otherwise excluded as set forth in this
final rule). The inclusion of additional voluntarily participating
hospitals outside of these selected areas would constitute a major
change to the model that was not considered in the proposed rule.
Providers who wished to participate in a voluntary episode model had
the opportunity under the BPCI initiative.
Final Decision: After consideration of the public comments we
received, we are modifying the MSA exclusion rules used in determining
which MSAs are eligible for selection. The following is a description
of the MSA exclusion criteria used in this final rule:
In determining if an MSA was eligible for selection, we first
examined whether the MSA met any of the four exclusion criteria as
formulated in the proposed rule. This process resulted in a pool of 196
MSA from which we then selected 75 for inclusion in CJR via stratified
random selection.
In this final rule, we revised the exclusion rules as defined later
in this section, with the purpose of assessing whether any of the 75
selected MSAs would be considered not eligible for selection based on
applying the new criteria.
Specifically, the second exclusion rule, which eliminates MSAs with
fewer than 400 non-BPCI CJR eligible cases, is modified with the
following additions (1) the determination of the count of patients
associated with a BPCI Phase 2 initiating hospital is based on the
participation in BPCI as of October 1, 2015 rather than July 1, 2015
and (2) the count of BPCI episodes to be removed from the count of
eligible episodes takes into consideration patients who would have been
attributed to a BPCI Model 2 initiating PGP in Phase 2 for an LEJR
episode as of October 1, 2015. The third exclusion rule, wherein MSAs
were excluded based on the percent of the MSA's LEJR population
associated with either a BPCI hospital, SNF or HHA in an MSA, was
changed to be based on episodes associated with participation in BPCI
as of October 1, 2015 rather than July 1, 2015.
As a result of updating the list of BPCI participants to those
entering the model in October 2015 and including Phase 2 PGPs in the
calculation of the number of cases in the MSA, 8 MSAs out of the 75
MSAs that were previously selected are now deemed not eligible for
selection and are consequently no longer required to participate in
CJR. These previously selected and now excluded MSAs are shown in Table
1. The remaining 67 MSAs selected in the proposed rule will be required
to participate in CJR.
(2) Selection Strata
Numerous variables were considered as potential strata for
classifying MSAs included in the model. However, our proposal was
intended to give priority to transparency and understandability of the
strata. We proposed creating selection strata based on the following
two dimensions: MSA average wage-adjusted historic LEJR episode
payments and MSA population size.
[[Page 73295]]
(a) MSA Average Wage-Adjusted Historic LEJR Episode Payments
We were interested in being able to classify and divide MSAs
according to their typical patterns of care associated with LEJR
episodes. As a straightforward measure of LEJR patterns of care, we
selected the mean MSA episode payment, as defined in the proposed rule.
MSAs vary in their average episode payments. The average episode
payments in an area may vary for a variety of reasons including--(1) In
response to the MS-DRG case mix and thus the presence of complicating
conditions; (2) readmission rates; (3) practice patterns associated
with type of PAC provider(s) treating beneficiaries; (4) variations of
payments within those PAC providers, and (5) the presence of any
outlier payments.
The measure of both mean episode payments and median episode
payments within the MSA was considered. We proposed to stratify by mean
because it would provide more information on the variation in episode
payments at the high end of the range of payments. We are interested in
the lower payment areas for the purpose of informing decisions about
potential future model expansion. However, the CJR model is expected to
have the greatest impact in areas with higher average episode payments.
The average episode payments used in this analysis were calculated
based on the proposed episode definition for CJR using Medicare claims
accessed through the Chronic Conditions Warehouse for 3 years with
admission dates from July 1, 2011 through June 30, 2014. Episode
payments were wage-adjusted using the FY 2014 hospital wage index
contained in the FY 2014 IPPS Final Rule, downloaded at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/FY-2014-IPPS-Final-Rule-Home-Page-Items/FY-2014-IPPS-Final-Rule-CMS-1599-F-Data-Files.html. The adjusted payment was
calculated by dividing the unadjusted payment by a factor equal to the
sum of 0.3 plus the multiplicative product of 0.7 and the wage index
value of the hospital where the LEJR was performed. We truncated the
episode payment at the 99.9th percentile of the distribution ($135,000)
to limit the impact of extreme outliers.
(b) MSA Population Size
The second dimension proposed for the CJR selection strata is the
number of persons in the MSA. In deciding how best to incorporate the
dimensions of urban density and availability of medical resources, a
variety of measures were considered, including overall population in
the included counties, overall population in the core area of the MSA,
population over the age of 65 in the MSA, the number of hospital beds
and the number of Medicare FFS LEJR procedures in a year. The reason we
decided to include this dimension in the strata definition is that
these factors are believed to be associated with the availability of
resources and variations in practice and referral patterns by the size
of the healthcare market. When examined, these alternative measures
were all very highly correlated with one another, which allowed the use
of one of these measures to be able to substitute for the others in the
definition of the stratum. From these alternative approaches, we choose
to use MSA population. In operationalizing this measure, MSAs were
classified according to their 2010 census population.
(c) Analysis of Strata
The two proposed domains, MSA population and MSA historic LEJR
episode spending, were examined using a K-Means factor analysis. The
purpose of this factor analysis was to inform the process of which cut
points most meaningfully classify MSAs. Factor analysis attempts to
identify and isolate the underlying factors that explain the data using
a matrix of associations. Factor analysis is an interdependence
technique. Essentially, variables are entered into the model and the
factors (or clusters) are identified based on how the input variables
correlate to one another. The resulting clusters of MSAs produced by
this methodology suggested natural cut points for average episode
payments at $25,000 and $28,500. While not intentional, these divisions
correspond roughly to the 25th and 75th percentiles of the MSA
distribution. Cut points based on these percentiles seemed reasonable
from statistical and face validity perspectives in the sense that they
created groups that included an adequate number of MSAs and a
meaningful range of costs.
As a result of this analysis, we classified MSAs according to their
average LEJR episode payment into four categories based the on the
25th, 50th and 75th percentiles of the distribution of the 196
potentially selectable MSAs as determined in the exclusion rules as
applied in the proposed rule (80 FR 41198). This approach ranks the
MSAs relative to one another and creates four equally sized groups of
49. The population distribution was divided at the median point for the
MSAs eligible for potential selection as determined and defined in the
proposed rule. This resulted in MSAs being divided into two equal
groups of 98. The characteristics of the resulting strata are shown in
Table 2.
Table 2--Summary Population and Episode Payment Statistics by MSA Group
----------------------------------------------------------------------------------------------------------------
Payment in
Payment in Payment in 2nd Payment in 3rd highest Total eligible
lowest quarter lowest quarter lowest quarter quarter
----------------------------------------------------------------------------------------------------------------
MSAs deemed eligible in the
proposed rule (80 FR 41198)
with population less than
median:
Number of Eligible MSAs..... 33 19 22 24 98
Average of Population....... 251,899 238,562 268,331 254,154 253,554
Minimum MSA Population...... 96,275 55,274 106,331 96,024 55,274
Maximum MSA Population...... 425,790 416,257 424,858 428,185 428,185
Average Episode Payments ($) $22,994 $25,723 $27,725 $30,444 $26,410
Minimum Episode Payments.... $18,440 $24,898 $26,764 $29,091 $18,440
Maximum Episode Payments.... $24,846 $26,505 $28,679 $32,544 $32,544
MSAs deemed eligible in the
proposed rule (80 FR 41198)
with population more than
median:
Number of Eligible MSAs..... 16 30 27 25 98
Average of Population....... 1,530,083 1,597,870 1,732,525 2,883,966 1,951,987
Minimum MSA Population...... 464,036 436,712 434,972 439,811 434,972
Maximum MSA Population...... 4,335,391 5,286,728 12,828,837 19,567,410 19,567,410
Average Episode Payments ($) $23,192 $25,933 $27,694 $30,291 $27,082
[[Page 73296]]
Minimum Episode Payments.... $16,504 $25,091 $26,880 $28,724 $16,504
Maximum Episode Payments.... $24,819 $26,754 $28,659 $33,072 $33,072
-------------------------------------------------------------------------------
Total Eligible MSAs..... 49 49 49 49 ..............
----------------------------------------------------------------------------------------------------------------
Note: Population and episode payment means are unweighted averages of the MSA values within each of the eight
MSA groups.
Please refer to the addenda for this final rule for information on
the non-excluded MSAs, their wage adjusted average LEJR episode
spending, their population and their resultant group assignment at:
https://innovation.cms.gov/initiatives/cjr/.
(3) Factors Considered But Not Used in Creating Proposed Strata
In addition to the two dimensions we proposed to use for the
selection groups previously discussed, a variety of possible
alternative measures and dimensions were considered. Many of these
variables are considered to be important but it was believed that it
was important to have a fairly straightforward and easily
understandable stratum definition. Simplicity, by definition, required
that only the most important variables would be used. If a market
characteristic under consideration was correlated with one of the
chosen dimensions or it was believed that variations in the
characteristic could be adequately captured by random selection within
the strata, is was not prioritized for inclusion.
Some of the factors considered that we did not propose as
dimensions are--
Measures associated with variation in practice patterns
associated with LEJR episodes. In considering how to operationalize
this measure, a number of alternatives were considered including total
PAC LEJR payments in an MSA, percent of LEJR episodes with a SNF claim
in an MSA, percent of LEJR episodes with an initial discharge to HHA,
percent of LEJR episodes with an Inpatient rehabilitation facility
(IRF) claim, and percent of LEJR episodes with claims for two or more
types of PAC providers;
Measures associated with relative market share of
providers with respect to LEJR episodes;
Healthcare supply measures of providers and suppliers in
the MSA including counts of IRF beds, SNF beds, hospital beds, and
number of orthopedic surgeons;
MSA level demographic measures such as; average income,
distributions of population by age, gender or race, percent dually
eligible, percent of population with specific health conditions or
other demographic composition measures; and
Measures associated with the degree to which a market
might be more capable or ready to implement care redesign activities.
Examples of market level characteristics that might be associated with
anticipated ease of implementation include the MSA-level EHR meaningful
use levels, managed care penetration, ACO penetration and experience
with other bundling efforts.
It should be noted that, while these measures were not proposed to
be part of the selection strata, we acknowledge that these and other
market-level factors may be important to the proper understanding of
the evaluation of the impact of CJR. It is the intention that these and
other measures will be considered in determining which MSAs are
appropriate comparison markets for the evaluation as well as considered
for possible subgroup analysis or risk adjustment purposes. The
evaluation will include beneficiary, provider, and market level
characteristics in how it examines the performance of this proposed
model.
(4) Sample Size Calculations and the Number of Selected MSAs
Analyses of the necessary sample size to facilitate a robust
statistical analysis of CJR's effects led us to conclude that we needed
to include between 50 and 100 MSAs of the 384 MSAs with eligible LEJR
episodes to participate in CJR and we proposed to select 75 MSAs. As
previously discussed, the proposed revision of the MSA exclusion rules
resulted in 8 of the previously selected MSAs now being considered
excluded, leading to their removal from the model. The resulting number
of selected MSAs, 67, is still within the acceptable range for an MSA
count as determined by our analysis. The number and method of selection
of these original 75 MSAs from the 8 proposed groups is addressed in
the following section. In finalizing this approach, we are undertaking
a test in as few markets as possible while still allowing us to be
confident in our results and to be able to generalize from the model to
the larger national context. We discuss the assumptions and modeling
that went into our proposal later in this section.
In calculating the necessary size of the model, a key consideration
was ensuring that the model would have sufficient power to be able to
detect the desired size impact. The larger the anticipated size of the
impact, the fewer MSAs we would have to sample in order to observe it.
However, a model sized to be able to only detect large impacts runs the
risk of not being able to draw conclusions if the size of the change is
less than anticipated. The measure of interest used in estimating
sample size requirements for the CJR model was wage-adjusted total
episode spending. To measure wage-adjusted total episode spending, we
used the 3 year data pull also used for the average regional episode
spending estimation that covers LEJR episodes with admission dates from
July 1, 2011 through June 30, 2014. For the purposes of the sample size
calculation the impact estimate assumed we wanted to be able to detect
a 2 percent reduction in wage adjusted episode spending after 1 year of
experience. This amount was chosen because it is the anticipated amount
of the discount we proposed to apply to target prices in CJR.
The next consideration in calculating the necessary sample size is
the degree of certainty we will need for the statistical tests that
will be performed. In selecting the right sample size, there are two
types of errors that need to be considered ``false negatives'' and
``false positives''. A false positive occurs if a statistical test
concludes that the model was successful when it was, in fact, not. A
false negative occurs if a statistical test fails to find statistically
significant evidence that the model was successful, but it was, in
fact, successful. In considering the minimum sample size needs of a
model, a standard guideline in the statistical literature suggests
calibrating statistical tests to generate no more than a 5 percent
chance of a false positive and selecting the sample size to ensure no
more than a 20 percent
[[Page 73297]]
chance of a false negative. In contrast, the proposed sample size for
this project was based on a 20 percent chance of a false positive and a
30 percent chance of a false negative after one year of episodes in
order to be as conservative as was practicable. A greater degree of
certainty will be available with additional years of data.
A third consideration in the sample size calculation was the
appropriate unit of selection and whether it is necessary to base the
calculation on the number of MSAs, the number of hospitals, or the
number of episodes. As discussed later in this section, we are
proposing to base the sample size calculation at the MSA level.
The CJR model is a nested comparative study, which has two key
features. First, the unit of assignment (to treatment and comparison
groups) is an identifiable group; such groups are not formed at random,
but rather through some physical, social, geographic, or other
connection among their members. Second, the units of observation are
members of those groups. In such designs, the major analytic problem is
that there is an expectation for a positive correlation (intra-class
correlation (ICC)) among observations of members of the same group
(MSA). The ICC reflects an extra component of variance attributable to
the group above and beyond the variance attributable to its members.
This extra variation will increase the variance of any aggregate
statistic beyond what would be expected with random assignment of
beneficiaries or hospitals to the treatment group.
In determining the necessary sample size, we need to take into
consideration the degrees of freedom. As part of this process, we
examined the number of beneficiaries, the number of hospitals, and the
number of MSAs and the level of correlation in episode payments between
each level. For example, while each beneficiary has their own episode
expenditure level, there are commonalities between those expenditure
amounts at the hospital level, based on hospital-specific practice and
referral patterns. The number of degrees of freedom needed for any
aggregate statistic is related to the number of groups (MSAs or
hospitals), not the number of observations (beneficiary episodes). If
we were to base the determination of the size of the model on
beneficiary episodes where correlation exists, we would have an
inflated false positive error rate and would overstate the impact of
the model. We empirically examined the level of correlation between
beneficiaries and hospitals and between hospitals and MSAs and
determined that the correlation was high enough to be of concern and
necessitate an MSA level unit of selection.
Using the previous assumptions, a power calculation was run which
indicated we would need between 50 and 150 treatment MSAs to be able to
reliably detect a 2 percent reduction in payments after 1 year. The
lower end of this range assumed that our evaluation approach could
substantially reduce variation through regression adjustment and other
types of statistical modeling. We anticipated that we would have
adequate statistical power based on prior research results, but wanted
to ensure that we did not have to achieve the ``best possible'' results
from such modeling in order to draw conclusions. In order to allow for
some degree of flexibility we proposed the selection of 75 MSAs. We
narrowed the acceptable range to between 50 and 100 MSAs rather than 50
to 150 MSAs, based on the assumption that we will be able to
substantially improve our estimates through modeling, and then chose a
number near the middle of this reduced range. Due to the revised
exclusion rules, we are proceeding with 67 MSAs, which we believe will
provide adequate statistical power.
In assessing to what degree regression adjustment and other
statistical adjustments could reduce the number of MSAs needed to
generate statistically reliable results, it should be noted that
calculations are based on the actual Medicare payments associated with
episodes. Thus, the variation in payments associated with MS-DRG case
mix, or other reasons are already captured in the methodology.
(5) Method of Selecting MSA
As previously discussed, we selected 75 MSAs from our proposed 8
selection groups and subsequently reduced this number to 67. In
performing the initial MSA selection, we examined and considered a
number of possible approaches including equal selection in each of the
eight groups, equal selection in the four payment groups, selection
proportionate to the number of MSAs in each group, and a number of
approaches that differentially weighted the payment categories.
After consideration, we proposed a methodology that proportionally
under-weighted more efficient MSAs and over-weighted more expensive
MSAs was the most appropriate approach to fulfilling the overall
priorities of this model to increase efficiencies and savings for LEJR
cases while maintaining or improving the overall quality of care. This
approach made MSAs in the lowest spending category less likely to be
selected for inclusion. We thought this appropriate because the MSAs in
the lowest expenditure areas have the least room for possible
improvement and are already performing relatively efficiently compared
to other geographic areas, which means that experience with the model
in these areas may be relatively less valuable for evaluation purposes.
At the same time, we believed it was important to include some MSAs in
this group in order to assess the performance of this model in this
type of circumstance. We also believed it was appropriate for higher
payment areas to be disproportionately included because they are most
likely to have significant room for improvement in creating
efficiencies. We expect more variation in practice patterns among the
more expensive areas. There are multiple ways an MSA can be more
relatively expensive, including through outlier cases, higher
readmission rates, greater utilization of physician services, or
through PAC referral patterns. A larger sample of MSAs within the
higher payment areas will allow for us to observe the impact of the CJR
model on areas with these various practice patterns in the baseline
period.
The method of disproportionate selection between the strata used
was to choose 30 percent of the MSAs in the two groups in the bottom
quarter percentile of the payment distribution, 35 percent of the MSAs
in the two groups in the second lowest quartile, 40 percent in the
third quartile, and 45 percent in the highest episode payment quartile.
This proportion resulted in the selection of the 75 originally selected
MSAs out of the 196 eligible. The number of MSAs originally chosen as
well as the final selection counts within the eight selection groups is
shown in Table 3.
[[Page 73298]]
Table 3--Number of MSAs To Be Chosen From the Eight Selection Groups
----------------------------------------------------------------------------------------------------------------
Payment in
Payment in Payment in 2nd Payment in 3rd highest Total eligible
lowest quarter lowest quarter lowest quarter quarter MSAs
----------------------------------------------------------------------------------------------------------------
Selection Proportion............ 30% 35% 40% 45% ..............
Less Than Median Population (1) (2) (3) (4) ..............
(Group #)......................
Number Eligible MSAs per 33 19 22 24 98
Proposed Rule (80 FR 41198)
Proportion x Number......... 9.9 6.65 8.8 10.8
Number initially selected 10 7 9 11 37
from group.................
Number finally selected from 8 6 8 11 33
group......................
More Than Median Population (5) (6) (7) (8)
(Group #)......................
Number Eligible MSAs per 16 30 27 25 98
NPRM.......................
Proportion x Number......... 4.8 10.5 10.8 11.25
Number initially selected 5 11 11 11 38
from group.................
Number finally selected from 5 10 9 10 34
group......................
Total Eligible MSAs per Proposed 49 49 49 49 196
Rule (80 FR 41198).............
Number initially selected... 15 18 20 22 75
Number finally selected from 13 16 17 21 67
group......................
----------------------------------------------------------------------------------------------------------------
We selected the proposed MSAs for the CJR model through random
selection. In the proposed method of selection, each MSA was assigned
to one of the eight selection groups previously identified. Based on
this sampling methodology, SAS Enterprise Guide 7.1 software was used
to run a computer algorithm designed to randomly select MSAs from each
strata. SAS Enterprise Guide 7.1 and the computer algorithm used to
conduct selection represents an industry standard for generating
advanced analytics and provides a rigorous, standardized tool by which
to satisfy the requirements of randomized selection. The key SAS
commands employed include a ``PROC SURVEYSELECT'' statement coupled
with the ``METHOD=SRS'' option used to specify simple random sampling
as the sample selection method. A random number seed was generated for
each of the eight strata by using eight number seeds corresponding to
birthdates and anniversary dates of parties present in the room. The
random seeds for stratum one through eight were as follows: 907, 414,
525, 621, 1223, 827, 428, 524. Note that no additional stratification
was used in any of the eight groupings so as to produce an equal
probability of selection within each of the eight groups. For more
information on this procedure and the underlying statistical
methodology, please reference SAS support documentation at: https://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/viewer.htm#statug_surveyselect_sect003.htm/ We also considered a
potential alternative approach to this random selection in which we
would generate a starting number within SAS and then choose every third
MSA within a group starting at this point until the relevant number of
MSAs were chosen. We opted to not utilize this feature for simplicity's
sake and alignment with other randomization methodologies used for CMS
models.
The selection of an MSA means that all hospitals are included whose
address associated with their CCN is physically located anywhere within
the counties that make up the MSA. By definition, the entire county is
included in an MSA and hospitals that are in the relevant counties will
be impacted even if they are not part of the core urban area.
We stated in the proposed rule, should the methodology we propose
in this rule change as a result of comments received during the
rulemaking process, it could result in different areas being selected
for the model. In such an event, we would apply the final methodology
and announce the selected MSAs in the final rule. Therefore we sought
comment from all interested parties in every MSA on the randomized
selection methodology proposed in this section.
The following is a summary of the comments received and our
responses.
Comment: Two commenters raised concerns regarding the number of
MSAs selected for inclusion in the model. One noted that, given the
range between 50 and 150 treatment MSAs to be able to reliably detect a
2 percent reduction in payments, CMS could drop some of the 75 selected
MSAs without jeopardizing the ability to produce generalizable results
from the CJR model. Another commenter suggested that the approach to
the model should focus on an intense analysis within fewer markets
prior to expansion into a larger representative sample.
Response: As discussed in the proposed rule, a variety of
considerations were made in the determination of what would be an
appropriate sample size. The initially proposed 75 MSAs represented the
25 percentage points of the acceptable range of MSAs to be included as
determined by sample size calculations. We believe that using a number
near the bottom of the range would represent an unnecessary risk to our
ability to draw conclusions from the model in a timely manner. While we
would prefer to have 75 MSAs in the model in order to increase the
likelihood of being able to make definitive statements about the impact
of the model at an earlier date, we believe the loss of the 8 MSAs now
deemed not eligible for selection constitutes an acceptable risk.
With respect to the request to test the model in a limited pool of
MSAs prior to testing it in the full set of selected MSAs, we believe
that the testing of this model broadly is crucial to achieving the
model's desired objectives and does not believe that proceeding in a
few test MSAs prior to testing it in a broader set of MSAs would yield
the same degree of information in the same time period.
Comment: A commenter was concerned that the selection strata used
did not use MSA-level demographic measures in its selection process,
including distributions of population by age, gender, or race; percent
of population dually-eligible; percent of population with specific
health conditions or other demographic composition measures. They
believed these areas associated with more at-risk populations should be
represented less in the selection. Another commenter did not question
the selection strata but contended that the random selection happened
to choose fewer areas with lower income and minority Medicare
beneficiaries than they thought desirable. They specifically inquired
[[Page 73299]]
after the lack of inclusion of MSAs in Alabama and Georgia.
Response: We considered but ultimately decided against including
the dimension based on the demographic characteristics of an MSA
incorporated in the selection strata. If we were to have done so, the
purpose would have been to ensure an adequate representation along the
range of these demographic considerations rather than to eliminate them
from possible selection. While these factors are not explicitly part of
the selection strata used, the resulting selected MSAs provide an
adequate representation of a variety of circumstances including the
experiences of areas with a higher degree of non-white populations,
MSAs with a range in average income level, and other key
characteristics. With regards to the specific concerns regarding under-
representation in the MSAs selected from specific states, we note that
Alabama, which has relatively high episode costs, had three of its
seven eligible MSAs selected while Georgia, whose MSAs had episode
payments that indicated relatively more efficient patterns of care, had
two of its six eligible MSAs selected. As such, we believe that the
experiences of these states and MSAs that are similar in nature to them
are adequately represented in the selected MSAs.
Comment: A commenter requested clarification regarding how to
interpret which MSAs are included in the model.
Response: We refer readers to Table 4 for a final list of the MSAs
that are in the CJR model.
Final Decision: After consideration of the public comments we
received, we are finalizing the proposal, with modification to include
67 of the originally selected 75 MSAs. We used updated BPCI
participation level information in the application of the MSA exclusion
rules for this final rule, resulting in the exclusion of an additional
8 MSAs that were previously selected. We note that we are posting the
list of the participant hospitals in the selected MSAs on the CJR Web
site at https://innovation.cms.gov/initiatives/CJR/. This list will be
updated throughout the model, to account for circumstances such as
hospital mergers, BPCI termination, and new hospitals within the
selected MSAs.
We set forth this final policy in Sec. 510.100 and Sec. 510.105.
Table 4--MSAs Included in the CJR Model
------------------------------------------------------------------------
MSA MSA Name
------------------------------------------------------------------------
10420.................. Akron, OH
10740.................. Albuquerque, NM
11700.................. Asheville, NC
12020.................. Athens-Clarke County, GA
12420.................. Austin-Round Rock, TX
13140.................. Beaumont-Port Arthur, TX
13900.................. Bismarck, ND
14500.................. Boulder, CO
15380.................. Buffalo-Cheektowaga-Niagara Falls, NY
16020.................. Cape Girardeau, MO-IL
16180.................. Carson City, NV
16740.................. Charlotte-Concord-Gastonia, NC-SC
17140.................. Cincinnati, OH-KY-IN
17860.................. Columbia, MO
18580.................. Corpus Christi, TX
19500.................. Decatur, IL
19740.................. Denver-Aurora-Lakewood, CO
20020.................. Dothan, AL
20500.................. Durham-Chapel Hill, NC
22420.................. Flint, MI
22500.................. Florence, SC
23540.................. Gainesville, FL
23580.................. Gainesville, GA
24780.................. Greenville, NC
25420.................. Harrisburg-Carlisle, PA
26300.................. Hot Springs, AR
26900.................. Indianapolis-Carmel-Anderson, IN
28140.................. Kansas City, MO-KS
28660.................. Killeen-Temple, TX
30700.................. Lincoln, NE
31080.................. Los Angeles-Long Beach-Anaheim, CA
31180.................. Lubbock, TX
31540.................. Madison, WI
32820.................. Memphis, TN-MS-AR
33100.................. Miami-Fort Lauderdale-West Palm Beach, FL
33340.................. Milwaukee-Waukesha-West Allis, WI
33700.................. Modesto, CA
33740.................. Monroe, LA
33860.................. Montgomery, AL
34940.................. Naples-Immokalee-Marco Island, FL
34980.................. Nashville-Davidson-Murfreesboro-Franklin, TN
35300.................. New Haven-Milford, CT
35380.................. New Orleans-Metairie, LA
35620.................. New York-Newark-Jersey City, NY-NJ-PA
35980.................. Norwich-New London, CT
36260.................. Ogden-Clearfield, UT
36420.................. Oklahoma City, OK
36740.................. Orlando-Kissimmee-Sanford, FL
37860.................. Pensacola-Ferry Pass-Brent, FL
38300.................. Pittsburgh, PA
38940.................. Port St. Lucie, FL
38900.................. Portland-Vancouver-Hillsboro, OR-WA
39340.................. Provo-Orem, UT
39740.................. Reading, PA
40980.................. Saginaw, MI
41860.................. San Francisco-Oakland-Hayward, CA
42660.................. Seattle-Tacoma-Bellevue, WA
42680.................. Sebastian-Vero Beach, FL
43780.................. South Bend-Mishawaka, IN-MI
41180.................. St. Louis, MO-IL
44420.................. Staunton-Waynesboro, VA
45300.................. Tampa-St. Petersburg-Clearwater, FL
45780.................. Toledo, OH
45820.................. Topeka, KS
46220.................. Tuscaloosa, AL
46340.................. Tyler, TX
48620.................. Wichita, KS
------------------------------------------------------------------------
B. Episode Definition for the CJR Model
1. Background
CJR model is an episode payment model, focused on incentivizing
health care providers to improve the efficiency and quality of care for
an episode of care as experienced by a Medicare beneficiary by bundling
payment for services furnished to the beneficiary for an episode of
care for a specific clinical condition over a defined period of time.
Key policies of such a model include the definition of episodes of
care. Episodes of care have two significant dimensions--(1) A clinical
dimension that describes what clinical conditions and associated
services comprise the episode; and (2) a time dimension that describes
the beginning, middle, and end of an episode. We present our proposals,
summarize public comments and provide our responses, and finalize the
policies for these two dimensions of CJR episodes in this section.
2. Clinical Dimension of Episodes of Care
a. Definition of the Clinical Conditions Included in the Episode
As discussed previously in section I.A. of this final rule, we
identified LEJR episodes, primarily hip and knee replacements, as the
focus of this model. In the proposed rule, we stated our belief that a
straightforward approach for hospitals and other providers to identify
Medicare beneficiaries in this payment model is important for the care
redesign that is required for model success, as well as to
operationalize the proposed payment and other model policies.
The vast majority of LEJRs are furnished in the inpatient hospital
setting, with a small fraction of partial knee replacements occurring
in the hospital outpatient department (HOPD) setting. Most of the
Current Procedural Terminology (CPT) codes that physicians report for
LEJR are on the hospital OPPS inpatient only list. The CY 2015 OPPS
inpatient only list is Addendum E of the CY 2015 Hospital Outpatient
Prospective Payment--Final Rule with Comment Period, which is available
on the CMS Web site at: https://www.cms.gov/Medicare/Medicare-Fee-for-
Service-Payment/ASCPayment/ASC-Regulations-and-Notices-Items/CMS-
[[Page 73300]]
1613-FC.html. Thus, under current FFS payment policy, Medicare pays
hospitals for the facility services required for most LEJR procedures
only when those procedures are furnished in the inpatient hospital
setting. Therefore, in our proposal we stated our belief that an
episode payment model most appropriately focuses around an inpatient
hospitalization for these major surgical procedures, as there is little
opportunity for shifting the procedures under this model to the
outpatient setting.
We noted further that LEJRs are paid for under the IPPS through the
following two Medicare Severity-Diagnosis Related Groups (MS-DRGs):
MS-DRG 469 (Major joint replacement or reattachment of
lower extremity with Major Complications or Comorbidities (MCC)).
MS-DRG 470 (Major joint replacement or reattachment of
lower extremity without MCC).
Multiple International Classification of Diseases, 9th Revision,
Clinical Modification (ICD-9-CM) procedure codes that describe LEJR
procedures and other less common lower extremity procedures group to
these MS-DRGs, with their percentage distribution within the IPPS MS-
DRGs 469 and 470 for the past 4 years outlined in Table 5.
Table 5--Distribution of Hospital Claims for ICD-9-CM Procedure Codes Mapping to MS-DRGs 469 and 470
----------------------------------------------------------------------------------------------------------------
ICD-9-CM procedure code Code descriptor FY 2014 (%) FY 2013 (%) FY 2012 (%) FY 2011 (%)
----------------------------------------------------------------------------------------------------------------
81.54............................... Total knee replacement 57 58 58 58
81.51............................... Total hip replacement. 30 29 29 28
81.52............................... Partial hip 12 13 13 14
replacement.
81.56............................... Total ankle 0 0 0 0
replacement.
00.85............................... Resurfacing hip, 0 0 0 0
total, acetabulum and
femoral head.
00.86............................... Resurfacing hip, 0 0 0 0
partial, femoral head.
00.87............................... Resurfacing hip, 0 0 0 0
partial, acetabulum.
84.27............................... Lower leg or ankle 0 N/A N/A N/A
reattachment.
84.28............................... Thigh reattachment.... N/A N/A N/A 0
----------------------------------------------------------------------------------------------------------------
Note: Percentages or claim counts with ``N/A'' had no claims. Percentages of 0% represent less than 0.5% of
total claims.
Additionally, we noted that there are various types of claims-based
information available to CMS, hospitals, and other providers, that
could be used to identify beneficiaries in the model who receive LEJRs,
including the MS-DRGs for the acute care hospitalization for the
procedure, the ICD-9-CM procedure code on the hospital claim, or the
CPT code(s) reported by the orthopedic surgeon who furnishes the
surgical procedure. While we could utilize ICD-9-CM procedure codes or
CPT codes to identify beneficiaries included in the model, over 85
percent of procedures that group to MS-DRGs 469 and 470 are hip or knee
replacements. Additionally, the hospitals that would be participating
in this model receive payment under the IPPS, which is not determined
by CPT codes and is based on clinical conditions and procedures that
group to MS-DRGs. Finally, our review of the other low volume
procedures that group to these same MS-DRGs, aside from total or
partial hip and knee replacements, did not suggest that there is
significant clinical or financial heterogeneity within these two MS-
DRGs such that we would need to define care for included beneficiaries
by ICD-9-CM procedure codes.
Therefore, we proposed that an episode of care in the CJR model
would be triggered by an admission to an acute care hospital stay
(hereinafter ``the anchor hospitalization'') paid under MS-DRG 469 or
470 under the IPPS during the model performance period. This approach
offers operational simplicity, for providers and CMS, and is consistent
with the approach taken by the BPCI initiative to identify
beneficiaries whose care is included in the LEJR episode for that
model. We sought public comments on this proposal to define the
clinical conditions that are the target of CJR.
The following is a summary of the comments received and our
responses.
Comment: Some commenters expressed support for CMS' proposal to
define the clinical conditions included in the CJR model episode by
discharge from an anchor hospitalization that is paid under MS-DRG 469
or 470 under the IPPS, although a commenter claimed that the cases
within each MS-DRG are too heterogeneous to form the basis of a single
target price as CMS proposed. The commenter added that risk adjustment
could take the form of case exclusions, stratifying cases within each
MS-DRG to create separate target prices, or adjusting the target prices
based on principal procedure and patient characteristics. Most
commenters recommended that CMS limit the model to a subset of
beneficiaries that were discharged from these two MS-DRGs, effectively
excluding certain cases as form of risk adjustment to reduce the
heterogeneity of the cases in the model. The commenters asserted that
CMS' proposal, which did not include risk adjustment beyond setting
different target prices for episodes based on discharges from the two
different MS-DRGs, failed to take into consideration the variability of
service needs of beneficiaries discharged from these two MS-DRGs
related to the specific procedure performed, the elective or urgent/
emergent nature of the procedure, and the beneficiary's clinical and
demographic characteristics, including underlying medical conditions
and age. Several commenters recommended that CMS define the clinical
conditions included in the model by discharges only from MS-DRG 470,
claiming that these beneficiaries represented a more homogeneous group
that had less complex health care needs. Some commenters urged CMS to
define the clinical conditions in the model based on specific MS-DRG
and ICD-9-CM procedure code combinations for hip and knee arthroplasty,
and stated that CMS should exclude low volume procedures that also map
to MS-DRGs 469 and 470 including ankle replacement; lower leg, ankle,
and thigh reattachment; and hip resurfacing procedures. The commenters
stated that these uncommon procedures display substantial heterogeneity
in the clinical characteristics and needs of the beneficiary, as well
as the associated Medicare payment for services throughout an episode.
They contended that the rationale for CMS' proposal addressed hip and
knee replacement in
[[Page 73301]]
detail but failed to consider the different PAC patterns of other
beneficiaries discharged from the same MS-DRGs but who had different
surgical procedures. A commenter recommended that CMS specifically
exclude episodes for conversion total joint arthroplasty procedures,
which require removal of previously placed hardware followed by THA or
TKA in the same operative session, arguing that these beneficiaries had
more complex needs.
Many commenters recommended that CMS define the clinical conditions
in the model as episodes specific to elective total hip arthroplasty
(THA) and total knee arthroplasty (TKA) procedures. The commenters
stated that this group of beneficiaries is more homogeneous than
beneficiaries undergoing emergent joint replacement procedures for hip
fractures or undergoing the other low volume procedures that map to the
MS-DRGs. Given that CMS did not propose risk adjustment under the model
based on procedure or patient characteristics, the commenters contended
that limiting the model to these clinical conditions, that represent
about 85 percent of beneficiaries discharged for the two MS-DRGs, would
provide a sufficient number of cases to test LEJR episode payment and
allow hospitals to create efficient, effective clinical pathways for
these beneficiaries. The commenters also observed that CMS' quality
measures, specifically the THA/TKA readmissions and complications
measures, as well as the voluntary data collection for patient-reported
outcomes, would represent only the quality of care for beneficiaries
undergoing elective THA and TKA procedures. Several commenters
recommended that CMS only include episodes in the model for
beneficiaries discharged from MS-DRG 469 or 470 whose data would be
used to determine the model's quality measures for the participant
hospital.
The commenters suggested several different approaches to defining
the clinical conditions included in the model as elective THA or TKA.
One approach would be to eliminate from the model beneficiaries with
reported ICD-9-CM procedure codes other than THA or TKA, and then
further exclude some remaining beneficiaries with ICD-9-CM codes for
hip fracture on their claim for the anchor hospitalization. Other
commenters asserted that CMS should exclude the beneficiaries receiving
the low volume procedures as well as those receiving partial hip
arthroplasty (PHA) procedures. The commenters pointed out that almost
all of the beneficiaries receiving PHA would have hip fractures and
observed that the average Medicare episode payment for beneficiaries
undergoing PHA was similar to beneficiaries discharged from MS-DRG 469
or 470 with hip fracture diagnoses, almost twice the payment for
beneficiaries undergoing elective THA and TKA. Several commenters
presented analyses that demonstrated that beneficiaries with hip
fracture, regardless of their discharge from MS-DRG 469 or 470, when
compared to beneficiaries with elective procedures, experience twice as
high readmissions and PAC utilization rates, as well as higher
morbidity and mortality.
The commenters in favor of excluding clinical conditions involving
hip fractures from the model stated that the number of hip fracture
cases treated by individual hospitals can vary significantly on an
annual basis, both due to random variation and practice or population
changes. Moreover, different hospitals provide care for different
percentages of beneficiaries with hip fracture and, according to some
commenters, academic medical centers and small hospitals care for
disproportionate percentages of these cases for reasons of medical
complexity and the urgent nature of the procedure, respectively,
because beneficiaries who fall and experience a hip fracture are
commonly transported to their local hospital for emergent treatment.
Furthermore, in addition to the variation a hospital itself may
experience regarding the percentage of hip fracture cases, which could
lead to the hospital-specific historical data used for a portion of the
target price to not be reflective of the health care needs of the
hospital's episode population in a given performance year, some
commenters observed that the increasing percentage of the target price
contributed by regional data exacerbated their concerns. Hospitals in a
region that care for a disproportionately high percentage of hip
fracture patients compared to the regional average would be
disadvantaged due to the more intense service needs of hip fracture
patients, whereas hospitals caring for a disproportionately low
percentage of hip fracture patients compared to the regional average
would be advantaged. The commenters contended that excluding clinical
conditions involving hip fractures from the CJR model would ensure
homogeneity in the beneficiaries in the model such that hospitals would
be treated fairly with respect to episode pricing based on the
hospital-specific and regional historical CJR episode data for only
those beneficiaries undergoing elective THA and TKA.
Response: We appreciate the analyses and suggestions provided by
the commenters regarding the most appropriate approach to defining the
clinical conditions included in the CJR model. As discussed in section
III.C.4.b. of this final rule, we have decided to risk stratify the
target price for each MS-DRG-anchored episode based on a beneficiary's
hip fracture status. This policy allows us to maintain beneficiaries
who receive LEJR procedures due to hip fractures in the CJR model,
while acknowledging their typically greater health care needs by
providing a target price that is based on payment for services
furnished in the historical CJR episode data for Medicare beneficiaries
with hip fractures in order to account for a significant amount of
beneficiary-driven episode expenditure variation. While beneficiaries
with hip fractures may present a more costly population due to greater
health care needs, and CJR participant hospitals may vary in their
percentages of such beneficiaries, we believe that beneficiaries with
hip fracture have the potential to benefit substantially from the care
pathways and improved care coordination among providers and suppliers
that is incentivized by an episode payment model. In addition, we
believe there are opportunities for increased efficiency in the care of
beneficiaries with hip fracture who receive LEJR procedures with
respect to appropriate PAC utilization and care coordination and
management of chronic conditions that may be affected by the LEJR
procedure or post-surgical care. Thus, we are finalizing our proposal
to include LEJR procedures that result from hip fracture treatment in
the clinical conditions that are part of the CJR model episodes, rather
than limiting the model conditions to only elective THA and TKA.
We are also finalizing our proposal to include clinical conditions
represented by discharge from both MS-DRG 469 and 470 in the CJR model.
We believe that providing separate prices for episodes anchored by the
two different MS-DRGs accounts for the differences in typical health
care needs of the two groups of beneficiaries, specifically the higher
IPPS payment for the anchor hospitalization for beneficiaries
discharged under MS-DRG 469, as well as the pattern of service
utilization for this group of beneficiaries in the 90 days following
discharge.
Additionally, we are finalizing our proposal to include any lower
extremity joint procedure that results in discharge from MS-DRG 469 or
470 in the CJR
[[Page 73302]]
model, including ankle replacement; lower leg, ankle, and thigh
reattachment; and hip resurfacing procedures. While the model
beneficiaries with these less common clinical conditions are likely to
be a small number at any specific participant hospital, they too may
benefit from care redesign resulting in improved care coordination and
quality that are goals of the CJR model. These beneficiaries share the
experience of undergoing major surgical procedures involving the lower
extremity with the majority of CJR model beneficiaries undergoing THA
or TKA, and they too are likely to require PAC services and care
coordination and management of chronic medical conditions to optimize
their return to function. We expect that the Medicare actual episode
payments for these clinical conditions may be highly variable given the
small numbers and variable clinical characteristics of these
beneficiaries such that historical episode data may have little
predictive power regarding the actual episode payment for the
beneficiaries in a model performance year. We do not believe this small
number of beneficiaries will put participant hospitals at undue
financial risk and further note that our payment policies as discussed
in section III.C.3.c. and III.C.8. of this final rule provide a pricing
adjustment for high payment episodes and limit hospital financial
responsibilities to provide participant hospitals with additional
protections.
We note that our final policy to include all clinical conditions
that result in a discharge from MS-DRGs 469 or 470 in the CJR model
allows us to continue to rely on MS-DRGs to define the clinical
conditions included in the LEJR episode being widely tested under the
CJR model, consistent with the BPCI methodology to define clinical
conditions included in 48 different episodes based on the MS-DRGs for
the anchor hospitalization. This approach provides greater certainty
from the perspective of participant hospitals or CMS regarding the
clinical conditions included in episodes, since the discharge MS-DRG is
the defining parameter, and includes the greatest number of
beneficiaries with similar clinical conditions in the CJR model test.
Comment: Several commenters urged CMS to include in the CJR model
LEJR procedures where the procedure that would result in a
beneficiary's discharge from MS-DRG 469 or 470 if furnished in the
inpatient hospital setting is furnished in the HOPD, ambulatory
surgical center (ASC), or other dedicated facility that is not an acute
care facility. The commenters explained that elective procedures are
commonly furnished in the HOPD, ASC, or other dedicated facilities that
are not acute care facilities for certain beneficiaries covered by
commercial insurance, while Medicare covers and pays for the procedures
only when they are furnished in the inpatient hospital settings. The
commenters disputed CMS' assertion in the proposed rule that there is
little opportunity for shifting these procedures to the outpatient
setting. They urged CMS to permit these LEJR procedures to be furnished
to Medicare beneficiaries in other settings under the CJR model to
improve episode efficiency. The commenters contended that physicians
should be able to select the most appropriate inpatient hospital or
outpatient setting based on the beneficiary's clinical condition.
Response: We appreciate the interest of the commenters in providing
LEJR procedures under the CJR model to Medicare beneficiaries in
alternative outpatient settings as a further opportunity to test
strategies to provide high quality, efficient episode care for
beneficiaries undergoing LEJR procedures. As we discussed in the
proposed rule, the vast majority of LEJR procedures are furnished to
Medicare beneficiaries in the inpatient hospital setting, with a small
fraction of partial knee replacements occurring in the hospital
outpatient department (HOPD). Most of the CPT codes that physicians
report for LEJR procedures are on the hospital OPPS inpatient only
list. Thus, under current Medicare program policy, Medicare generally
pays hospitals for the facility services required for LEJR only when
those procedures are furnished in the inpatient hospital setting. When
we stated our belief in the proposed rule that an episode payment model
such as the CJR model most appropriately focuses around an inpatient
hospitalization for these major surgical procedures, as there is little
opportunity for shifting the procedures under the model to the
outpatient setting, we meant that this would be true under current
Medicare policy. Because Medicare generally does not pay hospitals if
procedures that would be assigned to MS-DRG 469 or 470 when furnished
to inpatients are performed on hospital outpatients, these procedures
would not be able to be shifted under the CJR model to the outpatient
setting.
Because most LEJR procedures are on the OPPS inpatient list and CMS
has, therefore, determined that Medicare beneficiaries require an
inpatient hospitalization for payment of these procedures to hospitals,
we are not changing the current inpatient only list designation of
these LEJR procedures for the CJR model. CJR is an episode payment
model, not a model designed to test different sites of services for
procedures that CMS has thus far determined may not be safely performed
on Medicare beneficiaries in the outpatient setting. Therefore, we are
finalizing our proposal that the CJR model will continue to focus
around an inpatient hospitalization for these major surgical procedures
that result in a discharge from MS-DRG 469 or 470, and a procedure
furnished in the outpatient setting will not be included in the model.
Comment: Several commenters maintained that because the procedures
that result in discharge from MS-DRG 469 and 470 that define the
clinical conditions included in the CJR model are on the OPPS inpatient
only list, CMS should commit to keeping these procedures on the
inpatient only list for the 5-year performance period of the model. The
commenters pointed out that CMS has previously proposed, but not
finalized, the removal of TKA procedures from the inpatient only list.
The commenters stated that if any additional procedures that would
otherwise result in discharge from one of the two MS-DRGs in the CJR
model were to be removed from the inpatient only list during a year
when the CJR model is being tested, the beneficiaries who would be
included in the model performance year due to a procedure in the
inpatient hospital setting would be sicker and more complex than those
included in the historical CJR episodes used to set target prices.
Therefore, the commenters reasoned that in order to establish target
prices that reflect the health care needs and medical complexity of the
CJR model beneficiaries in a model performance year, CMS should not
remove any LEJR procedures from the OPPS inpatient only list until
after the CJR model ends.
Response: We share the commenters' interest in ensuring that the
historical CJR episodes that are used to set the target prices for CJR
model episodes during a performance year reflect the health care needs
and medical complexity of beneficiaries who are comparable to those
actually included in the CJR model. If we were to remove an LEJR
procedure from the OPPS inpatient only list at any point during the 5-
year model test, we agree with the commenters that we would need to
consider the effects of such a change on the CJR model pricing
methodology, taking into consideration the characteristics of the
beneficiaries expected to be in the model due to a
[[Page 73303]]
procedure furnished in the inpatient hospital setting after the change
to the inpatient only list. If we concluded that changes in our pricing
methodology were necessary because the beneficiaries in the historical
CJR episodes used to set target prices would no longer be similar to
those in the model performance year, we would propose such changes
through notice and comment rulemaking.
Comment: Several commenters claimed that different states were
testing different LEJR episode payment models. A commenter provided the
example of Tennessee mandatory Medicaid bundles that utilize a
different episode definition than proposed for the CJR model. The
commenters encouraged CMS to move toward standard episode definitions
for mandatory models, noting that each of the inconsistent mandatory
models is being tested under the Innovation Center's statutory
authority. The commenters contended that different episode payment
models lead to excessive burden and greater cost for health care
providers.
Response: We appreciate the perspective of the commenters on the
challenges related to testing mandatory bundled payments with different
episode definitions in the same community. We note, however, that the
CJR model and various state episode payment models are all in various
stages of testing and have used different strategies to arrive at the
episode definitions for each model. By definition, models being tested
have not yet produced evidence of improved quality and/or cost savings,
so we lack the necessary evaluation results from various approaches to
consider standardizing episode definitions. We believe there is value
in testing different episode definitions given the current state of
knowledge about bundled payment. We also believe that, regardless of
the specific definitions for episodes that address the same clinical
conditions in various different payment models, episode payment models
share a common focus on improving the quality of care and increasing
the efficiency of care through a variety of well-established
strategies, such as increased communication among health care providers
along the continuum of acute and PAC and improved care coordination and
care management to promote beneficiary engagement that leads to
adherence to treatment plans and, correspondingly, reductions in
hospital readmissions and complications. As we gain more experience
with episode payment models and examine their results, we will consider
the potential benefits of standardizing episode definitions to the
extent possible.
Summary of Final Decisions: After consideration of the public
comments we received, we are finalizing our proposal to define the
clinical conditions included in the CJR model by admission to an IPPS
hospital that results in a discharge from MS-DRG 469 or 470.
The final policies for defining the clinical conditions are set
forth in Sec. 510.100 and Sec. 510.200.
b. Definition of Related Services Included in the Episode
For purposes of this model, as in BPCI, given the frequent
comorbidities experienced by Medicare beneficiaries and the generally
elective nature of LEJR, we are interested in testing inclusive
episodes to incentivize comprehensive, coordinated patient-centered
care for the beneficiary throughout the episode. We proposed to exclude
only those Medicare items and services furnished during the episode
that are unrelated to LEJR procedures based on clinical justification.
During our experience with BPCI implementation, we reviewed a number of
narrow episode definitions for LEJR episodes that were recommended by
BPCI participants and other interested parties during the design phase
for this project. We concluded that these narrow definitions commonly
exclude many services that may be linked to the LEJR, as LEJR
beneficiaries, on average, are at higher risk for more clinical
problems than Medicare beneficiaries who have not recently undergone
such procedures.
Therefore, we proposed that all CJR episodes, beginning with the
admission for the anchor hospitalization under MS-DRG 469 or 470
through the end of the proposed episode, include all items and services
paid under Medicare Part A or Part B with the exception of certain
exclusions that would be excluded because they are unrelated to the
episode. The items and services ultimately included in the episode
after the exclusions are applied are called related items and services.
As discussed in sections III.C.4. and III.C.6. of this final rule,
Medicare spending for related items and services would be included in
the historical data used to set target prices, as well as in the
calculation of actual episode spending that would be compared against
the target price to assess the performance of participant hospitals. In
contrast, Medicare spending for unrelated items and services (excluded
from the episode definition) would not be included in the historical
data used to set target prices or in the calculation of actual episode
spending.
We proposed that related items and services included in CJR
episodes would be the following items and services paid under Medicare
Part A or Part B, after the exclusions are applied:
Physicians' services.
Inpatient hospital services (including readmissions), with
certain exceptions discussed later in this section.
Inpatient psychiatric facility (IPF) services.
Long Term Care Hospital (LTCH) services.
IRF services.
SNF services.
HHA services.
Hospital outpatient services.
Independent outpatient therapy services.
Clinical laboratory services.
Durable medical equipment (DME).
Part B drugs.
Hospice.
We noted that under our proposed definition of related services
included in the episode, the episode could include certain per-member-
per-month model payments, as discussed in section III.C.7.d. of this
final rule.
We proposed to exclude from CJR drugs that are paid outside of the
MS-DRG, specifically hemophilia clotting factors (Sec. 412.115),
identified through HCPCS code, diagnosis code, and revenue center on
IPPS claims. Hemophilia clotting factors, in contrast to other drugs
that are administered during an inpatient hospitalization and paid
through the MS-DRG, are paid separately by Medicare in recognition that
clotting factors are costly and essential to appropriate care for
certain beneficiaries. Thus, in the proposed rule we stated our belief
that there are no efficiencies to be gained in the variable use of
these high cost drugs when particular beneficiaries receive LEJR
procedures who have significantly different medical needs for clotting
factors under an episode payment model, so we proposed to exclude these
high cost drugs from the actual historical episode expenditure data
used to set target prices and from the hospital's actual episode
spending that is reconciled to the target price. Similarly, we proposed
to exclude IPPS new technology add-on payments for drugs, technologies,
and services from CJR episodes, excluding them from both the actual
historical episode expenditure data used to set target prices and from
the hospital's actual episode spending that is reconciled to the target
price. This proposal would apply to both the anchor hospitalization
[[Page 73304]]
and any related readmissions during the episode. New technology add-on
payments are made separately and in addition to the MS-DRG payment
under the IPPS for specific new drugs, technologies, and services that
substantially improve the diagnosis or treatment of Medicare
beneficiaries and would be inadequately paid otherwise under the MS-DRG
system. Medicare pays a marginal cost factor of 50 percent for the
costs to hospitals of the new drugs, technologies, or services. We did
not believe it would be appropriate for the CJR model to potentially
hamper beneficiaries' access to new technologies that are receiving new
technology add-on payments or to burden hospitals who choose to use
these new drugs, technologies, or services with concern about these
payments counting toward actual episode expenditures. In addition,
because new drugs, technologies, or services approved for the add-on
payments vary unpredictably over time in their application to specific
clinical conditions, in the proposed rule we stated our belief that we
should exclude IPPS new technology add-on payments from CJR episodes.
We followed a number of general principles in determining other
proposed excluded services from the CJR episodes in order to promote
coordinated, high-quality, patient-centered care. Based on the broad
nature of these episodes, we proposed to identify excluded (unrelated)
services rather than included (related) services based on the rationale
that all Part A and Part B services furnished during the episode are
related to the episode, unless they are unrelated based on clinical
justification as described in more detail later in this section. In
developing our proposals for exclusions for this model, we stated our
belief that no Part A services, other than certain excluded hospital
readmissions during the episode as described in this section, furnished
post-hospital discharge during the episode should be excluded, as post-
hospital discharge Part A services are typically intended to be
comprehensive in nature. We also stated our belief that no claims for
services with diagnosis codes that are directly related to the LEJR
procedure itself (for example, loosening of the joint prosthesis) based
on clinical judgment, and taking into consideration coding guidelines,
should be excluded. Furthermore, we stated our belief that no claims
for diagnoses that are related to the quality and safety of care
furnished during the episode, especially the anchor hospitalization
under MS-DRG 469 or 470, should be excluded, such as direct
complications of post-surgical care during the anchor hospitalization.
Examples of diagnoses that would not be excluded on this basis include
surgical site infection and venous thromboembolism. Finally, in the
proposed rule we stated our belief that no claims for services for
diagnoses that are related to preexisting chronic conditions such as
diabetes, which may be affected by care furnished during the episode,
should be excluded. However, severe exacerbations of chronic conditions
(for example, some surgical readmissions) that are unlikely to be
affected by care furnished during the episode should be excluded; thus,
when a beneficiary is admitted to the hospital during the episode for
these circumstances, we would not consider it to be a related
readmission for purposes of CJR. We also stated our belief that
services for clinical conditions that represent acute clinical
conditions not arising from an existing chronic clinical condition or
complication of LEJR surgery occurring during an episode of care, which
would not be covered by the previous principles about included
services, should be excluded.
To operationalize these principles for CJR, we proposed to exclude
unrelated inpatient hospital admissions during the episode by
identifying MS-DRGs for exclusion. We proposed to exclude unrelated
Part B services based on the ICD-9-CM diagnosis code (or their
International Classification of Diseases, 10th Revision, Clinical
Modification (ICD-10-CM) equivalents when ICD-10-CM codes are
implemented) that is the principal diagnosis code reported on claims
for services furnished during the episode. More specifically, we
proposed to exclude specific inpatient hospital admissions and services
consistent with the LEJR episode definition (also triggered by MS-DRGs
469 and 470) that is currently used in BPCI Model 2. We note that the
list of exclusions was initially developed over 2 years ago for BPCI
through a collaborative effort of CMS staff, including physicians from
medical and surgical specialties, coding experts, claims processing
experts, and health services researchers. The list has been shared with
thousands of entities and individuals participating in one or more
phases of BPCI, and has undergone refinement over that time in response
to stakeholder input about specific diagnoses or MS-DRGs for exclusion,
resulting in only minimal changes over the last 2 years. Thus, the BPCI
list of exclusions for LEJR procedures has been vetted broadly in the
health care community; refined based on input from a wide variety of
providers, researchers and other stakeholders; and successfully
operationalized in the BPCI models. We proposed its use in CJR based on
our confidence related to our several of years of experience that this
definition is reasonable and workable for LEJR episodes, for both
providers and CMS.
With respect to the proposed inpatient hospital admission
exclusions for this model, we proposed that all medical MS-DRGs for
readmissions be included in CJR episodes as related services, with the
exception of oncology and trauma medical MS-DRGs. We proposed that
admissions for oncology and trauma medical MS-DRGs be excluded from CJR
episodes. Readmissions for medical MS-DRGs are generally linked to the
hospitalization for the LEJR procedure as a complication of the illness
that led to the surgery, a complication of treatment or interactions
with the health care system, or a chronic illness that may have been
affected by the course of care. We refer readers to section III.D. of
this final rule for background and discussion of the complication rate
measure proposed for CJR that includes common medical complications
resulting from the previously stated circumstances following LEJR
procedures and that may result in related hospital readmissions. For
readmissions for medical MS-DRGs, the selection of the primary
diagnosis code is not clear-cut, so in the proposed rule we stated our
belief that all should be included because providers should focus on
comprehensive care for beneficiaries during episodes. We proposed to
include all disease-related surgical MS-DRGs for readmissions, such as
hip/knee revision, in CJR episodes. We also proposed to include
readmissions for all body system-related surgical MS-DRGs as they are
generally related to complications of the LEJR procedures. An example
of a readmission of this type would be for an inferior vena cava filter
placement for treatment of thromboembolic complications of the LEJR. We
proposed to exclude hospital admissions for chronic disease surgical
MS-DRGs, such as prostatectomy (removal of the prostate gland), as they
are unrelated to the clinical condition that led to the LEJR and they
would not have been precipitated by the LEJR. Finally, we proposed that
hospital admissions for acute disease surgical MS-DRGs, such as
appendectomy, be excluded because they are highly unlikely to be
related to, or precipitated by, LEJR procedures and would not be
affected by LEJR episode care redesign.
[[Page 73305]]
With respect to the LEJR proposed diagnosis code exclusions for
Part B services for this model, we proposed that ICD-9-CM codes be
excluded or included as a category and as identified by code ranges. We
proposed that disease-related diagnoses, such as osteoarthritis of the
hip or knee, are included. We also proposed that body system-related
diagnoses are included because they relate to complications that may
arise from interactions with the health care system. An example of this
would be pressure pre-ulcer skin changes. Additionally, we proposed
that all common symptom diagnoses are included because providers have
significant discretion to select these as principal diagnosis codes. We
proposed that acute disease diagnoses, such as severe head injury, are
excluded. Finally, we proposed that chronic disease diagnoses be
included or excluded based on specific clinical and coding judgment as
described previously with respect to the original development of the
exclusions for LEJR episodes under BPCI, taking into consideration
whether the condition was likely to have been affected by the LEJR
procedure and recovery period and whether substantial services were
likely to have been provided for the chronic condition during the
episode. Thus, chronic kidney disease and cirrhosis would be included
in the episode, but glaucoma and chemotherapy would be excluded.
Proposed exclusions from CJR episodes were based on care for
unrelated clinical conditions represented by MS-DRGs for readmissions
during the episode and ICD-9 CM codes for Part B services furnished
during the episode after discharge from the anchor hospitalization. The
complete lists of proposed excluded MS-DRGs for readmissions and
proposed excluded ICD-9-CM codes for Part B services are posted on the
CMS Web site at https://innovation.cms.gov/initiatives/cjr/.
In the proposed rule, we noted that as CMS moves to implement ICD-
10-CM we would make the CJR exclusions that would map to the final ICD-
9-CM exclusions for CJR available in the ICD-10-CM format as well. We
proposed that all Part A and B-covered items and services that would
not be excluded based on the exclusions list are included in the
episode. Furthermore, we proposed to update the exclusions list without
rulemaking on an annual basis, at a minimum, to reflect annual changes
to ICD-CM coding and annual changes to the MS-DRGs under the IPPS, as
well as to address any other issues that are brought to our attention
by the public throughout the course of the model test.
We would first develop potential exclusions list revisions of MS-
DRGs for readmissions and ICD-9-CM (or ICD-10-CM, as applicable)
diagnosis codes for Part B services based on our assessment against the
following standards:
We would not exclude any items or services that are--
++ Directly related to the LEJR procedure itself (such as loosening
of the joint prosthesis) or the quality or safety of LEJR care (such as
post-surgical wound infection or venous thromboembolism); and
++ For chronic conditions that may be affected by the LEJR
procedure or post-surgical care (such as diabetes). By this we mean
that where a beneficiary's underlying chronic condition would be
affected by the LEJR procedure, or where the beneficiary's LEJR or
post-LEJR care must be managed differently as a result of the chronic
condition, then those items and services would be related and would be
included in the episode.
We would exclude items and services for--
++ Chronic conditions that are generally not affected by the LEJR
procedure or post-surgical care (such as removal of the prostate). By
this we mean that where a beneficiary's underlying chronic condition
would not be affected by the LEJR procedure, or where the beneficiary's
LEJR or post-LEJR care need not be managed differently as a result of
the chronic condition, then those items and services would not be
related and would not be included in the episode; and
++ Acute clinical conditions not arising from existing episode-
related chronic clinical conditions or complications of LEJR surgery
from the episode (such as appendectomy).
We proposed to post the potential revised exclusions, which could
include additions to or deletions from the exclusions list, to the CMS
Web site to allow for public input on our planned application of these
standards, and then adopt changes to the exclusions list with posting
to the CMS Web site of the final revised exclusions list after our
consideration of the public input.
We sought comment on our proposals for identifying excluded
readmissions and Part B-covered items and services, as well as our
proposed process for updating the exclusions list.
The following is a summary of the comments received and our
responses.
Comment: Several commenters recommended that CMS clarify the
proposal that named ``independent outpatient therapy services'' in the
episode definition list of related Part A and Part B services included
in the episode. The commenters pointed out that while this list
specified ``independent outpatient therapy services,'' which would
appear to only represent services furnished by therapists in private
practices included in CMS data under certain supplier specialty codes,
the commenters believe that CMS should refer to the services as
outpatient therapy services in order to include all outpatient physical
therapy, occupational therapy, and speech-language pathology therapy
services in the definition of related Part A and Part B services
included in the episode. The commenters noted that in the proposed rule
discussion of CJR collaborators CMS referred to financial arrangements
with outpatient therapy providers, a category of providers that was not
defined in the proposed rule and has not otherwise been previously
defined in the Medicare program. Therefore, the commenters recommended
that CMS define outpatient therapy providers in regulation in the CJR
final rule as a physician, supplier, or provider furnishing outpatient
physician therapy services, outpatient occupational therapy services,
or outpatient speech-language pathology services. The commenters
suggested that CMS should then clarify that services furnished by these
outpatient therapy providers (outpatient therapy services) would be
included in the episode definition, thereby including these payments in
the CJR historical episode data used to set target prices and in the
calculation of actual episode spending that would be compared against
the target price.
Response: We agree with the commenters' suggestion that we define
outpatient therapy providers in regulation to ensure consistent and
accurate reference to certain providers and services under the CJR
model, and that we should include services furnished by outpatient
therapy providers as related services in the CJR model after the
exclusions are applied. Therefore, we are adding the following new
definition to Sec. 510.2: Provider of outpatient therapy services
means a provider or supplier furnishing--(1) Outpatient physical
therapy services as defined in 410.60 of this chapter, or (2)
outpatient occupational therapy services as defined in 410.59 of this
chapter, or (3) outpatient speech-language pathology services as
defined in 410.62 of this chapter. We are also revising Sec.
510.200(b)(10) to remove the word ``independent'' preceding outpatient
therapy services.
[[Page 73306]]
Comment: Several commenters recommended that CMS add to the list of
related services included in CJR model episodes drugs covered under
Medicare Part D. The commenters asserted that Part D-covered drugs make
important contributions to beneficiary health, especially for
beneficiaries with chronic medical conditions and, therefore, should be
included in a broadly defined episode payment model such as the CJR
model to provide opportunities for improved quality and efficiency of
care for beneficiaries.
Response: We appreciate the interest expressed by the commenters in
including drugs covered under Part D in the LEJR episode definition
used for the CJR model. However, while we agree with the commenters
that the appropriate use of Part D-covered drugs can play an important
role in improving a beneficiary's health, we will not be expanding our
list of Part A and Part B items and services related to the episode to
add Part D-covered drugs. We proposed to require all beneficiaries
included in the CJR model to have both Part A and Part B coverage
throughout the duration of the episode in order to ensure we had
comprehensive episode payment data to calculate actual episode spending
to be compared against the target price. However, enrollment in Part D
is voluntary and a substantial percentage of Medicare beneficiaries do
not have Part D coverage, so we would lack comprehensive payment
information for all beneficiaries in the model in order to determine an
episode target price and calculate actual episode spending. In
addition, beneficiary-specific information about Part D drug spending
that could be attributed to episodes would not be available in a
timeframe consistent with the time periods for claims used to set
target prices and the timeline for reconciliation where actual episode
spending is aggregated and compared against the target price. Finally,
given that the CJR model is testing LEJR episodes, we believe there is
limited opportunity to shift spending from Part B to Part D to reduce
actual episode spending, even though we have not included Part D
payments in the episode definition. Most beneficiaries with chronic
conditions would be taking similar drugs before and during the episode,
and, other than pain medications, Part D-covered drugs are not commonly
used to manage the direct post-surgical and PAC rehabilitation needs of
most LEJR beneficiaries, who rarely experience significant
complications from the surgery. Therefore, we are finalizing our
proposal to not include all Part D-covered drugs from the list of
related items and services included in CJR episodes.
Comment: Several commenters recommended that CMS exclude Inpatient
Psychiatric Facility (IPF) services from CJR episodes because they
would be unlikely to be related to the LEJR procedure. The commenters
suggested that the services are always medically necessary with no
opportunities for efficiency and would be more likely to be associated
with injury that led to the need for LEJR procedure, rather than
related to the surgical procedure or recovery. Several commenters
stated that CMS should exclude these services from the episode
definition because they were excluded under LEJR episodes in BPCI.
Another commenter suggested that CMS exclude IPF services furnished
more than 14 days after surgery because after than point, the commenter
believes these services would be unlikely to be related to the surgery
or recovery.
Response: We are clarifying that under BPCI, IPF services furnished
following discharge from the LEJR episode anchor hospitalization but
during the episode are included in the LEJR episode definition, unless
they fall into one of the excluded MS-DRGs. Thus, we include inpatient
psychiatric services whether paid under the IPPS or the IPF PPS in LEJR
episodes under BPCI according to the same policy that would exclude
readmissions paid under either payment system based on the same
exclusion list. We see no reason under the CJR model not to apply the
standard we proposed to define related and unrelated Part A and Part B
services with respect to CJR episodes. Therefore, we believe the list
of excluded MS-DRGs identifies those IPF admissions during the episode
that would be clinically unrelated to the LEJR episode so we exclude
them from the episode definition, whereas IPF services any time during
a CJR episode that result in discharge from an MS-DRG that is not
excluded would be related and included in the CJR model episode
definition. We disagree with the commenter that all IPF services
furnished more than 14 days after surgery are unlikely to be related to
the LEJR procedure or complications of the procedure or to a chronic
condition that must be managed differently as a result of the
procedure. Regardless of the time IPF services are furnished following
discharge from the anchor hospitalization, we believe the MS-DRG
exclusions identify those circumstances when IPF services are unrelated
to the CJR model episode. Therefore, consistent with the BPCI policy,
we are finalizing our proposal to include IPF services in the CJR model
episode definition when they are assigned to an MS-DRG that is not
excluded from episode definition.
Comment: Several commenters commended CMS for proposing to include
hospice services in the episode definition for the CJR model, which
provides recognition of hospice services as an essential element of the
health care continuum. They stated that they looked forward to CMS
sharing data resulting from the model that provides insight into the
impact of incorporating hospice as part of a bundled care model and
coordinated approach to post-hospital care. However, the commenters
asserted that generally hospice services would be unrelated to the LEJR
episode because they would most commonly address a serious and
unanticipated complication of surgery or the hospitalization, discovery
during or immediately after the surgery of a previously undetected
terminal prognosis, or an unrelated accident following the procedure.
While acknowledging that some hospice services would be related to the
LEJR episode under uncommon circumstances, the commenters encouraged
CMS to include in the final rule the process that would be used to
identify included and excluded hospice services from CJR episodes. The
commenters urged CMS to further describe its rationale for including
hospice services in the episode definition, and supply data that
relates to hospice services and the CJR model. Finally the commenters
recommended that CMS establish a data acquisition system on hospice use
in the final model. Some commenters expressed confusion about CMS'
proposal to include hospice services in the episode definition and
inquired about whether CMS intended to include all hospice services or
to exclude certain hospice services as unrelated to the LEJR episode
according to the beneficiary's diagnosis.
A number of other commenters recommended that CMS exclude all
hospice services from the CJR episode definition, except for the post-
episode spending calculation that analyzes all Part A and Part B
spending for model beneficiaries, both for consistency with BPCI and to
ensure no incentives for underutilization of the hospice benefit were
created by the CJR model. The commenters asserted that all hospice
services were unrelated to the LEJR episode, and encouraged CMS to
exclude hospice services in order to ensure timely access to hospice
for CJR model beneficiaries.
[[Page 73307]]
Response: We appreciate the interest of the commenters in ensuring
continuing beneficiary access to hospice services under the CJR model.
We note that while we exclude all hospice services under BPCI, our
proposal for the CJR model would exclude no hospice services.
Specifically, we proposed no exclusions of Part A services furnished
during the 90 day period after discharge from the anchor
hospitalization other than certain hospital readmissions identified by
excluded MS-DRGs. We understand that CJR model beneficiaries could
receive hospice services during an episode under several different
types of clinical circumstances. For example, the beneficiary could be
enrolled in hospice prior to the LEJR episode, experience a pathologic
hip fracture, and require THA to stabilize the beneficiary's hip.
Alternatively, the beneficiary could have an LEJR procedure and enter
into hospice at some point during the episode in the 90 days following
discharge from the anchor hospitalization, either after experiencing a
surgical complication leading to a terminal prognosis or based on a new
diagnosis of a terminal stage of an illness. We note that given the
pre-surgical screening that patients must undergo before an LEJR
procedure, it would be rare for a new diagnosis that would render the
patient terminally ill to occur within 3 months after the LEJR
procedure that was not already identified during the pre-surgical
screening process.
Medicare hospice care is palliative care for individuals with a
prognosis of living 6 months or less if the terminal illness runs its
normal course. As referenced in Sec. 418.22(b)(1), to be eligible for
Medicare hospice services, the patient's attending physician (if any)
and the hospice medical director must certify that the individual is
``terminally ill,'' as defined in section 1861(dd)(3)(A) of the Act and
our regulations at Sec. 418.3 that is, the individual's prognosis is
for a life expectancy of 6 months or less if the terminal illness runs
its normal course. When an individual is terminally ill, many health
problems are brought on by underlying condition(s), as bodily systems
are interdependent. Section 1861(dd)(1) of the Act establishes the
services that are to be rendered by a Medicare certified hospice
program and those services include: nursing care; physical therapy;
occupational therapy; speech-language pathology therapy; medical social
services; home health aide services (now called hospice aide services);
physician services; homemaker services; medical supplies (including
drugs and biologics); medical appliances; counseling services
(including dietary counseling); short-term inpatient care (including
both respite care and care necessary for pain control and acute or
chronic symptom management) in a hospital, nursing facility, or hospice
inpatient facility; continuous home care during periods of crisis and
only as necessary to maintain the terminally ill individual at home;
and any other item or service which is specified in the plan of care
and for which payment may otherwise be made under Medicare, in
accordance with Title XVIII of the Act. The services offered under the
Medicare hospice benefit must be available, as needed, to beneficiaries
24 hours a day, 7 days a week (section 1861(dd)(2)(A)(i) of the Act).
The regulations at Sec. 418.54(c) stipulate that the comprehensive
hospice assessment must identify the patient's physical, psychosocial,
emotional, and spiritual needs related to the terminal illness and
related conditions, and address those needs in order to promote the
hospice patient's well-being, comfort, and dignity. The comprehensive
assessment must take into consideration the following factors: The
nature and condition causing admission (including the presence or lack
of objective data and subjective complaints); complications and risk
factors that affect care planning; functional status; imminence of
death; and severity of symptoms (Sec. 418.54(c)). Additionally, the
hospice CoPs at Sec. 418.56(c) require that the hospice must provide
all reasonable and necessary services for the palliation and management
of the terminal illness, related conditions and interventions to manage
pain and symptoms. Therapy and interventions must be assessed and
managed in terms of providing palliation and comfort without undue
symptom burden for the hospice patient or family. In the December 16,
1983 Hospice final rule (48 FR 56010 through 56011), regarding what is
related versus unrelated to the terminal illness, we stated: ``. . . we
believe that the unique physical condition of each terminally ill
individual makes it necessary for these decisions to be made on a case-
by-case basis. It is our general view that hospices are required to
provide virtually all the care that is needed by terminally ill
patients.''
Thus, hospice services furnished to CJR model beneficiaries should
be included in the episode definition for the CJR model, regardless of
the specific diagnosis of the beneficiary, because hospices are to
provide virtually all care that is needed by terminally ill patients.
If a CJR beneficiary was receiving hospice services during an episode,
either because the beneficiary was enrolled in hospice prior to surgery
and continued in hospice following surgery or the beneficiary enrolled
in hospice following surgery that initiated the CJR model episode, we
believe that hospice services would encompass care related to the LEJR
episode and should, therefore, be included in the episode definition.
As previously noted, given the comprehensive nature of the hospice
benefit and the fact that body systems are interdependent at end of
life, virtually all care needed by the terminally-ill individual would
be related to the terminal prognosis and thus the responsibility of the
hospice. As previously noted, hospices are required, per the Hospice
CoPs at Sec. 418.56(c), to provide all reasonable and necessary
services for the palliation and management of the terminal illness,
related conditions, and interventions to manage pain and symptoms. For
patients that underwent LEJR procedures as part of the CJR model that
have also elected the Medicare hospice benefit, hospice services would
need to adapt and respond to the care needs of the CJR beneficiary
following surgery. As in the case of other medically necessary services
that would improve a beneficiary's quality of care and quality of life,
we expect that CJR model beneficiaries will receive clinically
appropriate referrals to hospice in a timely manner. Furthermore, we
also believe hospice services could contribute to episode efficiency
through improved comprehensive care coordination and management for CJR
model beneficiaries that have a terminal prognosis. As previously
stated, hospices are required to provide comprehensive care
coordination and management per the hospice CoPs at 418.56. As
discussed in sections III.F.3. and 5. of this final rule, we will be
monitoring for access to care and delayed care and will take actions as
described if problems are found. Therefore, we are finalizing our
proposal to include hospice services in the CJR model episode
definition.
With regard to the commenters' request for data regarding hospice
use and the CJR model, we note that the evaluation approach described
in IV.D. of this final rule will yield utilization information on CJR
beneficiaries' episodes for specific types of providers and services.
As discussed in section IV.E. of this final rule, we plan to evaluate
the CJR model on an annual basis and release internal periodic
summaries to offer useful insight, with
[[Page 73308]]
a final analysis after the end of the 5-year performance period.
Finally, we plan to make available to participant hospitals upon their
request periodic summary claims data reports or raw claims data,
including payment information, using type of service categories that
including hospice. We refer readers to section III.E.2. of this final
rule for a more detailed discussion of the plans for sharing data under
the CJR model.
Comment: Several commenters requested that CMS exclude prosthetic
limbs, orthopedic braces, and customized durable medical equipment
(DME) from the related services included in CJR model episodes. The
commenters stated that these uncommonly furnished items were at risk of
not being provided to CJR model beneficiaries, and provided historical
example of access problems during implementation of the SNF PPS that
eventually resulted in some HCPCS codes for these items being exempted
from SNF consolidated billing. Another commenter requested
clarification about included services with respect to the definition of
DME. The commenter expressed its belief that there would be no need for
verification by CMS or its contractors about coverage of DME as CMS
would be making a single episode payment to hospitals. The commenter
sought clarification that devices that would usually be paid for under
the MS-DRG payment should be able to be used in the CJR beneficiary's
home.
Response: While some commenters recommended that we exclude
altogether certain prosthetics, braces, and customized DME from the
episode definition under the CJR model, we believe that our Part B ICD-
9-CM (or equivalent ICD-10-CM) diagnosis code exclusions will allow
these items to be excluded when they are unrelated to the episode.,
both in determining historical CJR episode payments used to set the
target price and in calculating actual episode spending during the
model performance years Just as for other Part B services, when the
primary ICD-9-CM (or equivalent ICD-10-CM) diagnosis code on the claim
for the item is not excluded, the prosthetics, orthopedic braces, and
customized DME will be included in the CJR episode. Because we will
identify unrelated items when they are furnished, and the Medicare
payment for those items will not be included in calculating the actual
episode spending, we believe that CJR model beneficiaries will continue
to have access to these items when they are furnished for unrelated
diagnoses on the Part B ICD-10-CM diagnosis code exclusions list. With
regard to the commenter who discussed a single payment by CMS to
hospitals for the episode, we want to emphasize that this is a
retrospective payment model and, thus, payments for all covered items
and services will continue to be made under the usual Medicare program
rules to all providers and suppliers furnishing services to CJR model
beneficiaries, unless we have specifically waived certain Medicare
program rules under the CJR model. We refer readers to section
III.C.11. of this final rule for further discussion of waivers of
Medicare program rules, but note that we have waived no existing
requirements or conditions about DME. All existing program rules for
coverage and payment of DME continue to apply. Therefore, we are
finalizing our proposal to include DME in the CJR model episode
definition, after application of the exclusions.
Comment: A number of commenters commended CMS on the proposal to
exclude IPPS new technology add-on payments from the CJR model episode
definition, as well as hemophilia clotting agents furnished to hospital
inpatients. The commenters believe these policies will ensure access to
these important treatments for CJR model beneficiaries who would
benefit from them. Several commenters suggested that CMS also exclude
from the CJR model episode definition OPPS transitional pass-through
payments for devices, which are paid separately for a limited period of
time based on their increased cost over existing technologies and
evidence that they are a substantial clinical improvement, for
consistency with CMS' proposed treatment of IPPS new technology add-on
payments which accomplish the same objective for hospital inpatients.
Other commenters recommended that CMS exclude other innovative
technologies from the episode definition by establishing a review
process to see if their cost should be removed from CJR episode
spending to ensure that the financial incentives under the CJR episode
payment model did not discourage appropriate use of new technologies
for CJR model beneficiaries who would benefit from them. These
commenters stated that such a policy would ensure that beneficiaries in
the CJR model have access to beneficial new technologies that otherwise
might be limited because of participant hospitals' concerns over
providing items and services that would increase actual episode
spending. A commenter, arguing in support of CMS' proposal to exclude
IPPS new technology add-on payments from the episode definition,
suggested that CMS analyze Hospital Consumer Assessment of Healthcare
Providers and Systems (HCAHPS) data to see if customized joints
correlated with HCAHPS scores under the model.
Response: We agree with the commenters that CJR model beneficiaries
should have access to beneficial new technologies while they are in CJR
episodes. We do not believe it would be appropriate for the CJR model
to potentially hamper beneficiaries' access to new technologies that
are receiving IPPS new technology add-on payments or to burden
hospitals who choose to use these new drugs, technologies, or services
with concern about these payments counting toward actual episode
expenditures. We also agree with the commenters' recommendation that we
should exclude OPPS pass-through payments for medical devices from the
episode definition for the same reasons we proposed to exclude IPPS new
technology add-on payments. In both of these cases, through the
established OPPS and IPPS review processes, we have determined that
these technologies have a substantial cost but also lead to substantial
clinical improvement for beneficiaries. Therefore, we are finalizing
our proposal to exclude from the CJR episode definition IPPS new
technology add-on payments and hemophilia clotting factors paid
separately during an inpatient hospitalization. In addition, we are
modifying our proposal and will exclude OPPS transitional pass-through
payments for medical devices from the CJR model episode definition and
price determinations.
We will not establish a new process to review innovative
technologies and make individual determinations regarding their
exclusion from the CJR model episode definition, as recommended by some
commenters. Because the CJR model is a retrospective reconciliation
model that pays all providers and suppliers under the regular Medicare
program throughout the episode of care, we believe it is more
appropriate to rely on the existing processes under the Medicare
program to make determinations about separate payment for new
technology items and services. If those existing processes identify new
technologies that would qualify for add-on payments under the IPPS or
transitional pass-through payment under the OPPS, we will exclude them
from the CJR model episode definition to ensure that access to new
technology items and services for beneficiaries is not influenced by
their care being include in the CJR model. We note that the evaluation
[[Page 73309]]
approach for the model as discussed in section IV. of this final rule
will analyze a variety of information about the model to draw
conclusions about its effects on quality and cost but is not designed
to examine patient experience as related to specific items or services
furnished during the episode.
Comment: Most commenters expressed support for CMS' proposed
episode definition that would exclude certain readmissions based on a
list of MS-DRGs, as well as certain Part B services based on the
principal diagnosis on the claim, consistent with the episode
definition for LEJR episodes under BPCI that has been used for several
years. The commenters acknowledged that most services would be included
in the episode definition under the proposal, thus creating broadly
defined episodes that should lead to comprehensive care for
beneficiaries following LEJR procedures. A number of commenters
characterized the proposed episode definition as clinically reasonable
and agreed with the proposed lists of services that would be excluded.
A commenter claimed that the proposed episode definition would
encourage the integration of post-fracture care coordination, such as
could be provided through a fracture liaison service, with acute care
for CJR model beneficiaries with hip fractures, leading to improved
outcomes. However, some commenters expressed general concern about CMS'
proposal to hold participant hospitals financially accountable for
these broadly defined episodes, especially as CMS did not propose to
risk adjust target prices for the episodes to reflect beneficiaries'
chronic conditions.
Several commenters suggested that CMS adopt an episode definition
for the CJR model that is flexible and condition-specific. A commenter
questioned the role of the beneficiary's health care provider in
evaluating relatedness to the episode under the proposal and
recommended that CMS permit the beneficiary's health care provider to
make determinations of relatedness of services to the episode on a
case-by case basis specific to a beneficiary's unique clinical
condition. A few commenters suggested that CMS' proposed episode
definition was more consistent with a total cost of care model by
including beneficiaries with chronic conditions and excluding so few
services. These commenters stated that if CMS finalizes such a broad
definition, risk adjustment would be necessary in order to ensure fair
payment to participant hospitals. Some commenters contended that CMS
should include in the episode definition only services that are
directly related to the procedure and complications for which the
hospital could be held accountable. In the view of some commenters, CMS
should exclude all chronic conditions from the episode definition,
especially when the LEJR episode is unavoidable, such as in trauma
cases. Examples provided by commenters of chronic conditions that
should be excluded include diabetes and renal failure. Other commenters
recommended that CMS only exclude care for unrelated chronic conditions
and acute medical conditions such as urinary tract infection and
dehydration occurring later than 30 days following discharge from the
anchor hospitalization or otherwise shorten the episode duration of the
model to 30 days. They claimed that holding the participant hospital
accountable through the episode definition for chronic conditions two
months after surgery is unfair. A commenter recommended that CMS
include all readmissions for the first 30 days following discharge from
the anchor hospitalization and thereafter only those hospital
readmissions for the subsequent 60 days that are directly related to
the LEJR procedures. Overall, a number of commenters expressed concern
that unless CMS narrowed the proposed CJR model episode definition to
exclude more services or diagnoses or shortened the episode duration,
hospitals may be more cautious about treating patients with complex
medical status, especially if CMS also does not risk adjust the target
prices for the episode based on beneficiary characteristics and
specific procedures.
A commenter stated that the proposed episode definition was not
sufficiently broad for frail patients, especially those with multiple
illnesses who may have had a hip fracture. The commenter contended that
providers should be paid to provide comprehensive care and treat the
whole person, who can have many different types of interrelated health
care needs when he or she is acutely ill due to a hip fracture in the
face of serious underlying chronic conditions. The commenter stated
that the CJR model would contribute to the fracturing of comprehensive
care for vulnerable beneficiaries by excluding some services from the
episode definition, even if those services are for clinical conditions
that appear to be clinically unrelated to the LEJR episode, and claimed
that the solution to this challenge is moving people with complex
medical needs into a patient-centered medical home or comprehensive
ACO. The commenter stressed that any existing medical home or ACO
arrangements that apply to CJR model beneficiaries should be respected
by the participant hospital managing the CJR episode, so as to not
disrupt or otherwise interfere with comprehensive care for
beneficiaries with complex medical needs.
Response: We appreciate the support of many commenters for our
proposed overall approach of identifying excluded services by MS-DRGs
for hospital readmissions and ICD-9-CM (or equivalent ICD-10-CM)
diagnosis codes for Part B services for LEJR episodes that are broadly
inclusive of related services. Because the methodology for setting
episode prices as discussed in section III.C. of this final rule
requires the construction of historical CJR episodes upon which to base
target prices that are then compared with actual episode payment during
each performance year of the model, we must use a standard episode
definition for the CJR model to ensure comparability of services
included in the episode in the historical CJR episode data and the
model performance year. Thus, we are unable to adopt the suggestions of
commenters that the CJR model episode definition be flexible or that
health care providers make service-by-service determinations of
relatedness for individual beneficiaries.
As discussed in the proposed rule and confirmed by the commenters,
beneficiaries undergoing LEJR procedures have frequent comorbidities
where their management may be affected by the surgery and post-
operative recovery period. We do not believe it would be appropriate
given the frequent comorbidities experienced by Medicare beneficiaries
and the generally elective nature of LEJR to utilize a narrow episode
definition for CJR that includes only those services directly related
to the LEJR procedure or the quality or safety of the LEJR care, as we
are interested in testing inclusive episodes to incentivize
comprehensive, coordinated patient-centered care for the beneficiary
throughout the episode. The care for many chronic conditions and the
development of acute medical conditions may be affected by the LEJR
procedure or post-surgical care throughout the post-surgical recovery
period that extends significantly beyond 30 days following hospital
discharge, a point in time where beneficiaries are usually still
receiving PAC services, often including SNF services, and have not
returned to their level of presurgical function. Therefore, we do not
believe it would be appropriate to define services for chronic
conditions and acute medical conditions as related to the CJR
[[Page 73310]]
model episode for 30 days post-discharge from the anchor
hospitalization, and unrelated for the remaining 60 days in the
episode. We believe that care for chronic medical conditions affected
by the LEJR procedure or post-surgical care is related to the episode
for the full episode duration because the care for these conditions is
likely to be affected by the procedure and associated recovery for 90
days post-hospital discharge or even longer as the beneficiary recovers
function over the course of the episode and returns to the community.
We note that we have finalized several waivers of Medicare program
rules as discussed in section III.C.11. of this final rule specifically
to assist participant hospitals in efficient and effective care
coordination and care management for CJR beneficiaries with
significant, ongoing health needs, including chronic medical conditions
whose care may be affected by the LEJR procedure and post-surgical
recovery. Thus, we will exclude only those Medicare Part A and B-
covered items and services furnished during the episode that are
unrelated to LEJR procedures based on clinical justification, and the
exclusions will apply throughout the episode duration. Finally, we
believe that the payment policies of the model as described in sections
III.C.3.c. and III.C.8. of this final rule to adjust pricing for high
payment episodes and to provide stop-loss limits provide sufficient
protections for participant hospitals from excessive financial
responsibility for high payment cases that may result from the broad
episode definition adopted for the model. We expect that participant
hospitals, with responsibility for the quality and cost performance of
CJR model episodes, will work closely with all providers, suppliers,
and organizations engaged in the care of model beneficiaries, in order
to ensure that efficient, coordinated care is furnished to the
beneficiary.
We appreciate the concerns expressed by commenters about holding
participant hospitals financially responsible for broad LEJR episodes
extending 90 days post-discharge from the anchor hospitalization. We
note that we are finalizing 90 days post-discharge from the anchor
hospitalization as we proposed for the reasons discussed later in this
section. Additionally, we refer readers to section III.C.4.b. of this
final rule for the final policy that will risk stratify the target
prices based on the presence or absence of a hip fracture for CJR model
beneficiaries. We believe that this risk stratification policy
addresses the commenters' concerns that beneficiaries with chronic
conditions are likely to need more costly care throughout the CJR model
episode that would have been inadequately paid under our proposal
because these beneficiaries are those most likely to be present in the
population receiving LEJR procedures emergently due to a hip fracture.
Beneficiaries with chronic conditions are more likely to initiate CJR
episodes due to hip fracture than beneficiaries without chronic
condition who more likely undergo elective THA or TKA, so the typically
higher historical spending for chronically ill beneficiaries will be
reflected in the historical CJR episodes used to risk stratify target
prices for hip fracture patients. In contrast, beneficiaries undergoing
elective THA or TKA are less likely to have chronic conditions, so
their typically lower historical spending will be reflected in the
historical CJR episodes used to risk stratify target prices for LEJR
patients without hip fracture. Thus, risk stratification of target
prices based on a beneficiary's hip fracture status should account for
patient-specific expenditure variation both directly resulting from
more intense care due to the hip fracture itself, as well as indirectly
resulting from the higher prevalence of chronic conditions that must be
treated and managed in beneficiaries with hip fracture. We also believe
that risk stratification based on a model beneficiary's hip fracture
status will help to ensure that participant hospitals continue to treat
these medically complex patients because target prices for these
episodes will reflect the more costly care that these beneficiaries are
likely to require based on historical experience.
Additionally, while we agree with the commenter that the ongoing
and acute health care needs of medically complex beneficiaries may be
addressed through a patient-centered medical home or ACO, many of these
vulnerable beneficiaries currently are not included in such models or
programs. In the case of other beneficiaries who are included in
medical home or ACO models or programs, they may have specific, new
care management needs arising from an LEJR procedure that may be best
managed by the participant hospital that has substantial expertise in
coordinating and managing care throughout LEJR episodes because of the
hospital's participation in the CJR model, while the ACO or patient-
centered medical home may have less specific expertise in managing
beneficiaries recovering from major orthopedic surgery. We expect that
participant hospitals, accountable for LEJR episode quality and cost
performance under this model, will work closely with all providers and
other organizations with which a model beneficiary has established
relationships, toward the mutual goal of high quality, well-coordinated
care that maximizes the rate of a beneficiary's return of function
following surgery.
We are finalizing our proposal to include all Medicare Part A and B
items and services in the CJR model episode definition, except for
excluded services identified by the CJR model exclusions list, with
modification to additionally exclude OPPS transitional pass-through
payments for devices.
Comment: Many commenters expressed support for CMS' proposed
approach to identifying excluded services by MS-DRGs for readmissions
and ICD-9-CM diagnosis codes on Part B claims. Some commenters
suggested that CMS consider additional coding sources beyond ICD-9-CM
diagnosis codes to identify exclusions by adding ICD-9-CM procedure
codes and HCPCS and/or CPT codes to the list of Part B exclusions.
Response: We appreciate the commenters' support for our proposal.
We note that we have successfully used our current approach to identify
excluded services for 48 clinical episodes under BPCI Models 2, 3, and
4 for several years. We will consider whether supplementing our current
approach to identifying excluded services with additional coding
strategies could help us more accurately identify unrelated services as
we review future stakeholder input about the CJR model episode
definition. We would need to also take into consideration the current
coding requirements for different Part A and Part B services in
assessing the potential benefit of supplementing our existing
approaches to identifying excluded services. We would address any
changes to the current CJR model approach to identifying excluded
services through rulemaking. Therefore, we are finalizing our proposal
to identify CJR model excluded services by MS-DRGs for readmissions and
ICD-9-CM (or equivalent ICD-10-CM) diagnosis codes for Part B services.
Comment: A number of commenters provided their perspective on
certain specific proposed related services and exclusion. Several
commenters expressed support for CMS' proposal to exclude readmissions
for trauma medical and oncology MS-DRGs from the CJR episode
definition. The commenters agreed with CMS that readmissions during
LEJR episodes for
[[Page 73311]]
the clinical conditions that would result in discharge from trauma
medical or oncology MS-DRGs would be clinically unrelated to the LEJR
episode. A commenter recommended that CMS exclude rheumatoid arthritis
care from the LEJR episode definition. While the commenter pointed out
that rheumatoid arthritis can result in the need for LEJR procedures,
the commenter observed that including treatment for rheumatoid
arthritis in the episode would result in the accompanying high payments
for this care being included in actual episode spending. The commenter
stated that the high costs of treatment could either affect a
beneficiary's treatment for rheumatoid arthritis during the CJR model
episode or reduce the beneficiary's access to a medically necessary
joint replacement. Several commenters recommended that CMS exclude
services for which beneficiary claims data are not made available,
specifically those subject to the regulations governing the
confidentiality of alcohol and drug abuse patient records (42 Code of
Federal Regulations (CFR) part 2). Other commenters suggested that CMS
exclude elective surgery during the CJR model episode, providing
examples of cataract surgery, hernia repair, gallbladder procedures,
and transurethral resection of the prostate. A commenter requested that
CMS add the ICD-9-CM procedure code for chemotherapy administration to
the Part B exclusions list, because CMS proposed to consider
chemotherapy to be unrelated and, therefore, excluded from the CJR
episode definition.
Several commenters requested further justification of CMS's
proposals to include all body system-related surgical MS-DRGs and
medical MS-DRGs except oncology and trauma medical MS-DRGs in the CJR
episode definition. Several commenters requested further rationale for
CMS' proposal to include all PAC services in the episode following an
excluded readmission. Another commenter requested clarification on the
inclusion of communication, cognitive, and swallowing-related diagnoses
in the LEJR episode and CMS' intent in bundling services the commenter
believes to be unrelated. The commenter also requested information
about how providers could submit clinical justification when an
exclusion of therapy services from the CJR model episode is needed.
Finally, several commenters expressed support for excluding patients
from the model with acute disease diagnoses such as head injury, based
on their conclusion that CMS proposed to exclude these beneficiaries
due to CMS' proposed exclusion of Part B claims reporting acute disease
diagnoses, such as severe head injury.
Response: We appreciate the specific requests by the commenters for
clarification and modification of our proposed list of exclusions from
the CJR model episode definition. We agree with the commenters who
supported our proposal to exclude readmissions resulting in discharges
from oncology and trauma medical MS-DRGs. While we believe that
readmissions for medical MS-DRGs are generally linked to the
hospitalization for the LEJR procedure as a complication of the illness
that led to the surgery, a complication of treatment or interactions
with the health care system, or a chronic illness that may have been
affected by the course of care, we agree with the commenters that
hospitalizations resulting in discharge from oncology and trauma
medical MS-DRGs are not related to the hospitalization for the LEJR
procedure.
We do not believe that Part B claims including ICD-9-CM diagnosis
codes for rheumatoid arthritis should be excluded from CJR model
episodes. This chronic condition is likely to be affected by care
during the procedure and recovery period and, therefore, we would
consider claims reporting these diagnoses codes to be related to the
LEJR episode. With regard to the commenter's concerns about delays in
timely treatment as a result of high treatment costs and reduced access
to joint replacement procedures for beneficiaries with rheumatoid
arthritis, we refer readers to sections III.F.3. and 5. of this final
rule for discussion of our plans to monitor for access to care and
delayed care due to the potential of the CJR model to direct patients
away from more expensive services at the expense of outcomes and
quality. We will also not exclude claims for substance abuse and mental
health services that are not available in beneficiary claims data
because these services are clinically related to LEJR episodes. Claims
for substance abuse and mental health services include care for
clinical conditions that are related to the CJR episode because these
conditions may be affected by the LEJR procedure or post-surgical care.
With regard to the commenters' requests that we exclude elective
procedures such as cataract surgery, hernia repair, gallbladder
procedures, and transurethral resection of the prostate from the CJR
model episode definition, while we believe these procedures will be
uncommon during the post-surgical recovery period for CJR model
beneficiaries that extends 90 days following discharge from the anchor
hospitalization, we will not exclude them as unrelated because all of
the procedures may be related to care furnished during the post-
surgical recovery period. Our exclusion methodology does not allow us
to identify those procedures that are truly elective; that is, the
condition was present and surgery was planned prior to the LEJR
procedure and scheduled during the 90-cay post-hospital discharge
period.
While we agree with the commenter that chemotherapy services should
be excluded from the CJR model episode, our exclusion methodology for
Part B services does not rely upon ICD-9-CM procedure codes but instead
upon ICD-9-CM (or equivalent ICD-10-CM) diagnosis codes reported on
Part B claims. We note that the Part B payment systems, including those
for physicians' services, Part B drugs, and institutional services,
reject claims that do not report valid ICD-9-CM diagnosis codes.
Therefore, we believe that our proposal to base Part B exclusions only
on ICD-9 diagnosis codes and not additionally upon ICD-9 procedure
codes should allow us to identify and exclude from the CJR episodes all
Part B claims for chemotherapy administration services. Providers and
suppliers do not report ICD-9-CM (or equivalent ICD-10-CM) procedure
codes on Part B claims because they are paid for their chemotherapy and
other services on the basis of the CPT or HCPCS codes that describe
those services. However, these Part B claims must also include ICD-9-CM
(or equivalent ICD-10-CM) diagnosis codes. CMS requires ICD-9-CM (or
equivalent ICD-10-CM) procedure codes to be reported only on Part A
claims, which are excluded from the CJR model on the basis of
readmission MS-DRG rather than ICD-9 (or equivalent ICD-10) codes, so
adding ICD-9-CM (or equivalent ICD-10-CM) procedure codes to the Part B
exclusions list is not necessary.
As we stated in the proposed rule, for readmissions to medical MS-
DRGs the selection of the primary diagnosis code is not clear-cut so we
believe they should all be included in the episode definition so that
providers focus on comprehensive care to beneficiaries in episodes. We
reiterate our belief that readmissions to medical MS-DRGs are generally
linked to the hospitalization for the procedure as a complication of
the illness that led to the surgery, a complication of treatment or
interactions with the health care system, or a chronic illness that may
have been affected by the course of care. Moreover,
[[Page 73312]]
we believe that all body-system related surgical MS-DRGs for
readmissions are also related to the LEJR episode because these
readmissions are generally related to complications of the LEJR
procedure. Such surgeries result from the treatment of systemic
conditions that arise from the LEJR procedure or its complications.
Examples include placement of an inferior vena cava filer or a
percutaneous coronary intervention for treatment of thromboembolic
complications of the LEJR procedure.
We did not propose to exclude any PAC services in the 90-day post-
hospital discharge period, even when those PAC services follow an
excluded readmission. As Part A services are generally intended to be
comprehensive in nature and because the beneficiary in a CJR model
episode would still be in the post-operative recovery period following
LEJR surgery, we believe any PAC services provided during the episode
would be related to the LEJR procedure. Regardless of the reason for
the hospitalization immediately preceding the initiation of PAC
services, the PAC provider would need to address the beneficiary's
post-surgical recovery from the LEJR procedure, even if the PAC
services immediately followed an unrelated readmission to the hospital.
We did not propose to exclude claims for Part B services for
communication, cognitive, or swallowing-related diagnoses from the CJR
model episode definition because we believe these diagnoses are due
either to chronic conditions whose care may be affected by the LEJR
procedure or post-surgical care or to complications of the procedure,
such as stroke, that result in these diagnoses. Therefore, we consider
all Part B claims reporting these diagnoses in the principal diagnosis
field to be related to the CJR episode. Providers are unable to submit
clinical justification or other special requests for services to be
designated as unrelated to the episode if one of these diagnoses is in
the principal diagnosis field on claims. The CJR model is testing LEJR
episode payment and we need consistency in the scope of the episode for
the model. We will include all related Part A and Part B services as
identified in this final rule in the calculation of episode target
prices based on historical CJR episode data and in the calculation of
actual episode spending for a model performance year.
Finally, in response to the commenters who supported the exclusion
of beneficiaries with acute disease diagnoses, such as head injury,
from the CJR model, we want to clarify that we did not propose to
exclude these beneficiaries from the model. Instead, we proposed to
exclude Part B claims reporting acute disease diagnoses from the
episode because we consider these services to be unrelated under the
episode definition. Therefore, we will not include claims for Part B
services reporting excluded acute disease ICD-9-CM (or equivalent ICD-
10-CM) diagnosis codes in calculating target prices based on historical
CJR episodes or in calculating actual episode spending that will be
compared to the episode's target price in the CJR model.
We are finalizing our proposal to exclude the specific list of MS-
DRGs for readmissions and ICD-9-CM (or equivalent ICD-10-CM) diagnosis
codes that is posted on the CMS Web site at: https://innovation.cms.gov/initiatives/cjr/.
Comment: A commenter requested that CMS clarify how it will address
hospital-acquired conditions that should never occur, when these
conditions are part of CMS' Hospital-Acquired Condition Reduction
Program and experienced by CJR model beneficiaries. The commenter
explained that under current Medicare program policy, Medicare will not
pay the higher MS-DRG arising from a specified list of non-reimbursable
hospital-acquired conditions. The commenter pointed out that CMS
proposed to not exclude claims for diagnoses related to the quality and
safety of care furnished during the episode in the CJR model episode
definition, but CMS' list of non-reimbursable hospital-acquired
conditions includes surgical site infections after certain orthopedic
procedures. In addition to clarifying how never events will be
addressed in setting payments under the CJR model, the commenter
recommended that CMS incorporate an analysis of never events and their
incidence into the reconciliation process and review whether to expand
the list of never events for elective surgeries.
Another commenter recommended that the CJR episode include a
warranty for complications associated with surgery and other treatment,
that is, if complications occur, they should be treated at no
additional cost to the patient or Medicare.
Response: We appreciate the commenter's request for clarification
about treatment of IPPS claims that include hospital-acquired
conditions under the CJR model. Our model policy as discussed in
section III.C.4. of this final rule bases the CJR target prices on
historical CJR episodes that reflect discharge MS-DRGs and paid claim
amounts for those beneficiaries who would have begun episodes by
admission to an IPPS hospital that resulted in a discharge from MS-DRG
469 and 470. To the extent that Medicare does not pay the higher MS-DRG
amount due to a hospital-acquired condition that was not present on
admission, the lower payment for the hospitalization due to the
hospital-acquired condition would be used in setting the episode target
price for the MS-DRG that anchored the episode. This same would hold
true for related readmissions during the episode. When calculating
actual episode spending during a performance year, we would use, once
again, the paid claim amount that, in the case of a hospital-acquired
condition that was not present on admission, would be at the level of
the lower paying MS-DRG for the anchor hospitalization or related
readmission, as applicable. We further note that if a CJR beneficiary
experiences a hospital-acquired condition that was not present on
admission during an anchor hospitalization and has no other comorbid
conditions other than the HAC that would result in assignment of MS-DRG
469, the beneficiary's episode would be considered an MS-DRG 470-
anchored episode (initiated by the MS-DRG for LEJR procedures without
complications). Therefore, the hospital-acquired condition penalty
would not itself inflate the target price such that CMS would pay back
the hospital-acquired condition penalty through a reconciliation
payment.
Our proposal not to exclude claims for diagnoses related to the
quality and safety of care during the episode is the basis for our
excluded list of MS-DRGs for readmissions and ICD-9-CM (or equivalent
ICD-10-CM) diagnosis codes for Part B services and, therefore, this
list would not apply to the anchor hospitalization itself where
hospital-acquired conditions that were not present on admission could
be reported.
As discussed in sections III.C.5. and 6. of this final rule, the
model evaluation will examine changes in utilization, as well as
outcomes and quality, in order to assess the impact of the CJR model on
the aims of improved care quality and efficiency as well as well as
reduced health care costs. We refer readers to section IV. of this
final rule for further information on the planned evaluation. We have
an ongoing process to review claims data regarding potential candidates
for additions to the list of hospital-acquired conditions, so we do not
believe there is a need to specifically identify CJR episodes for
analysis because the IPPS claims included in CJR episodes would already
be considered in the ongoing process used by CMS in the Hospital-
Acquired Condition Reduction Program.
[[Page 73313]]
In response to the commenter who recommended for the CJR model that
if complications due the LEJR procedure occur, they should be treated
at no additional cost to the patient or Medicare, we note that because
the CJR model uses a retrospective payment approach, we will rely on
the existing Medicare program policies under the Hospital-Acquired
Condition Reduction Program that define the specific circumstances in
which Medicare will not make additional payment for a condition
occurring after surgery. When these circumstances occur for CJR model
beneficiaries in episodes, the existing Medicare program policies apply
and Medicare would not provide additional payment. We do not believe it
would be appropriate to establish policies specific to the CJR model
regarding Medicare nonpayment for other complications, and we further
note that some complications may not be preventable. The final pay-for-
performance methodology for the CJR model as discussed in section
III.C.5. of this final rule provides strong financial incentives for
participant hospitals to coordinate and manage care to reduce
complications, as the THA/TKA Complications measure (NQF #1550)
contributes half of the available points for the hospital's composite
quality score that determines the hospital's eligibility for
reconciliation payments and quality incentive payments.
Comment: Several commenters opposed CMS' proposal to make changes
to CJR model exclusions through an annual, at a minimum, update outside
of rulemaking. Most commenters recommended that CMS update the
exclusions annually through rulemaking, at least for routine annual
updates. Other commenters stated that they did see value in CMS making
possible additions and deletion to the exclusions list on a quarterly
basis, especially early in the model. If following a quarterly process
outside of rulemaking, these commenters urged CMS to seek stakeholder
comment and input on candidate revisions through the CMS Web site and
list serves to ensure broad input. The commenters encouraged CMS to
adopt a transparent process for revisions to the episode definition in
considering other exclusions. A number of commenters recommended that
CMS explore other exclusions for the future, such as those inpatient
hospital admissions or outpatient procedures planned for the
beneficiary prior to the episode, ongoing care for patients' chronic
conditions, and PAC following an excluded hospital readmission.
Response: We appreciate the interest of the commenters' in ensuring
that any changes to the CJR model episode definition involve a
transparent process with opportunity for broad stakeholder input. We
continue to believe that updating the exclusions annually, at a
minimum, outside of rulemaking, is most appropriate for this 5-year
model, allowing for more frequent updates than through rulemaking as
necessary to accommodate timely ICD-CM annual coding changes and the
transition to ICD-10-CM and annual IPPS MS-DRG changes, as well as to
address significant issues raised by participant hospitals and other
stakeholders.
Commenters who supported an exclusions list update process outside
of rulemaking did not suggest specific revisions to our proposed
criteria for updating the exclusions, namely that:
We would not exclude any items or services that are--
++ Directly related to the LEJR procedure itself (such as loosening
of the joint prosthesis) or the quality or safety of LEJR care (such as
post-surgical wound infection or venous thromboembolism); and
++ For chronic conditions that may be affected by the LEJR
procedure or post-surgical care (such as diabetes). By this we mean
that where a beneficiary's underlying chronic condition would be
affected by the LEJR procedure, or where the beneficiary's LEJR or
post-LEJR care must be managed differently as a result of the chronic
condition, then those items and services would be related and would be
included in the episode.
We would exclude items and services for--
++ Chronic conditions that are generally not affected by the LEJR
procedure or post-surgical care (such as removal of the prostate). By
this we mean that where a beneficiary's underlying chronic condition
would not be affected by the LEJR procedure, or where the beneficiary's
LEJR or post-LEJR care need not be managed differently as a result of
the chronic condition, then those items and services would not be
related and would not be included in the episode; and
++ Acute clinical conditions not arising from existing episode-
related chronic clinical conditions or complications of LEJR surgery
from the episode (such as appendectomy).
Thus, we continue to believe these criteria provide the appropriate
clinical review framework for updates to the CJR model exclusions.
Finally, we believe that our proposed process to post the potential
revised exclusions, which could include additions to or deletions from
the exclusions list, to the CMS Web site to allow for public input on
our planned application of these standards, and then adopt changes to
the exclusions list with posting to the CMS Web site of the final
revised exclusions list after our consideration of the public input, is
consistent with the recommendation of commenters that we use a
transparent process reflective of robust opportunity for public input.
Conducting this update process outside of rulemaking based on the
criteria set forth in this final rule will allow us the greatest
flexibility to update the exclusions as changes to the MS-DRGs and ICD
diagnosis codes, upon which our exclusions rely, are released. This
process will also allow us to respond quickly to any episode definition
issues that arise during implementation of the model across the broad
array of participant hospitals in the selected MSAs. We would widely
publicize the opportunity for review and public input through the CMS
Web site and listservs. We also note that any changes to our overall
approach to identifying excluded services or to our criteria for
evaluating services for exclusion would be addressed through
rulemaking. Therefore, we are finalizing our proposal to update the
exclusions list annually, at a minimum, using the process as described.
Comment: Several commenters referred to the impending change from
ICD-9-CM to ICD-10-CM coding on claims and identified that this change
would have implications for the Part B exclusions list. A commenters
stated that CMS would need to define the excluded ICD-10-CM codes prior
to implementation of the CJR model and recommended that CMS also
provide the ICD-10-CM diagnosis code list that would identify included
Part B services.
Response: We appreciate the commenters' interest in the list of CJR
model exclusions that are identified based on ICD-10-CM codes. In the
proposed rule, we stated that as we move to implement ICD-10-CM we
would develop the CJR exclusions that would map to the final ICD-9-CM
exclusions for CJR available in the ICD-10-CM format as well.
With ICD-10-CM implementation beginning in October 2015, we are
making available the final CJR model Part B exclusions list in ICD-10-
CM format as additional worksheet tabs to the final exclusions list
posted on the CMS Web site at: https://innovation.cms.gov/initiatives/cjr/. This is the same list of exclusions that will be used for LEJR
episodes under BPCI. This list will be applied to claims for services
furnished on or after October 1, 2015 and that
[[Page 73314]]
report ICD-10-CM codes. For ease of understanding by the public, our
objective was to present the ICD-10-CM excluded codes as ranges of
excluded ICD-10-CM categories, just as we present the ICD-9-CM excluded
codes as ICD-9-CM ranges.
To develop the ICD-10-CM exclusions list, we began with the list of
final CJR ICD-9-CM code ranges. From that list of ranges, we generated
an expanded list of all excluded ICD-9-CM codes. We then compared the
list of excluded ICD-9-CM codes against both the ICD-9-CM-to-ICD-10-CM
and ICD-10-CM-to-ICD-9-CM General Equivalence Mappings (GEMs) available
at: https://www.cms.gov/Medicare/Coding/ICD10/2015-ICD-10-CM-and-GEMs.html. Comparing against both GEM files was necessary because there
were matches in the ICD-9-CM-to-ICD-10-CM GEM that did not appear in
the ICD-10-CM-to-ICD-9-CM GEM and vice versa. For example --
In the ICD-9-CM-to-ICD-10-CM GEM file, ICD-9-CM code 85110
(Cortex (cerebral) contusion with open intracranial wound, unspecified
state of consciousness) maps to ICD-10-CM code S0190XA (Unspecified
open wound of unspecified part of head, initial encounter), but there
is not a corresponding map from S019XA to 85110 in the ICD-10-CM-to-
ICD-9-CM GEM.
In the ICD-10-CM-to-ICD-9-CM GEM file, ICD-10-CM code
A0101 (Typhoid meningitis) maps to ICD-9-CM code 020 (Typhoid), but
there is not a corresponding map from 020 to A0101 in the ICD-9-CM to-
ICD-10-CM GEM.
After compiling the results from both GEM files, we created a list
of every billable ICD-10-CM code and whether each billable ICD-10-CM
code matched to an excluded ICD-9-CM code. We then moved from the list
of individual codes to a list of ICD-10-CM three-digit categories (for
example, ICD-10-CM code A0101 (Typhoid meningitis) is in ICD-10-CM
category A01 (Typhoid and paratyphoid fevers)) to present the final CJR
exclusions. We excluded ICD-10-CM categories in which 100 percent of
billable ICD-10-CM codes matched to an excluded ICD-9-CM code. There
are 574 such categories, and we consider these CD-10-CM categories
excluded based on a direct mapping from ICD-9-CM (see the ``Excluded
Part B ICD10 Direct'' worksheet tab in the final exclusions list file).
We did not exclude ICD-10-CM categories in which no billable ICD-10-CM
codes matched to an excluded ICD-9-CM code. There are 1,258 categories,
and we consider these categories not excluded based on a direct mapping
from ICD-9-CM. For those 71 categories in which only some billable ICD-
10-CM codes in the category matched to an excluded ICD-9-CM code after
mapping, we excluded 48 ICD-10-CM categories where all of the ICD-10-CM
codes in the category met one or more of our two final criteria for
updating the excluded codes on the exclusions list as described
previously in this section (see the ``Excluded Part B ICD10 Medical''
worksheet tab in the final exclusions list file). Specifically, the 48
ICD-10-CM categories that are excluded on this basis include ICD-10-CM
codes that meet one or more of the following two criteria:
Chronic conditions that are generally not affected by the
LEJR procedure or post-surgical care (such as removal of the prostate).
By this we mean that where a beneficiary's underlying chronic condition
would not be affected by the LEJR procedure, or where the beneficiary's
LEJR or post-LEJR care need not be managed differently as a result of
the chronic condition, then those items and services would not be
related and would not be included in the episode.
Acute clinical conditions not arising from existing
episode-related chronic clinical conditions or complications of LEJR
surgery from the episode (such as appendectomy).
We did not exclude the 23 other ICD-10-CM categories in which only
some billable ICD-10-CM codes in the category matched to an excluded
ICD-9-CM code after mapping because the ICD-10-CM codes in these
categories met one or more of the following criteria:
Directly related to the LEJR procedure itself (such as
loosening of the joint prosthesis) or the quality or safety of LEJR
care (such as post-surgical wound infection or venous thromboembolism).
For chronic conditions that may be affected by the LEJR
procedure or post-surgical care (such as diabetes). By this we mean
that where a beneficiary's underlying chronic condition would be
affected by the LEJR procedure, or where the beneficiary's LEJR or
post-LEJR care must be managed differently as a result of the chronic
condition, then those items and services would be related and would be
included in the episode.
When constructing prices for CJR, we will exclude Part B services
from target prices and from performance year episodes based on the
final excluded ICD-9-CM code ranges and final excluded ICD-10-CM code
categories as appropriate, based on the applicable version of ICD
diagnosis coding at the time the services was furnished.
In addition, we have addressed changes to the CJR model exclusion
list that result from revisions for the FY 2016 IPPS. From FY 2015 to
FY 2016, there were few changes to IPPS MS-DRGs that appear on the MS-
DRG excluded readmissions list for the CJR model. Specifically, the FY
2016 IPPS update contains changes to existing MS-DRGs 237 and 238,
Major Cardiovascular Procedures with MCC and without MCC, respectively,
which are on the exclusions list for CJR episodes. For discharges after
October 1, 2015, inpatient stays that previously would have been
assigned to MS-DRG 237 or 238 will be assigned to one of the following
MS-DRGs:
268 Aortic and Heart Assist Procedures Except Pulsation
Balloon with MCC.
269 Aortic and Heart Assist Procedures Except Pulsation
Balloon without MCC.
270 Other Major Cardiovascular Procedures with MCC.
271 Other Major Cardiovascular Procedures with CC.
272 Other Major Cardiovascular Procedures without CC/MCC.
We also note that the list of excluded readmissions posted with the
proposed rule inadvertently omitted MS-DRGs 490 and 491, which were
eliminated in the FY 2015 IPPS Final Rule and from which MS-DRGs 518,
519, and 520 were created in FY 2015. We are adding MS-DRGs 490 and 491
to the list of excluded readmissions posted with this final rule as we
will exclude readmissions in MS-DRGs 490 and 491 for the purposes of
calculating CJR target prices.
Additional information on the new MS-DRGs is provided in the FY
2016 IPPS final rule (80 FR 49371 through 49390, available at: https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/FY2016-IPPS-Final-Rule-Home-Page.html). When
constructing prices for CJR, we will exclude readmissions for MS-DRGs
237 and 238 in historical data. We will also exclude readmissions for
MS-DRGs 268, 269, 270, 271, and 272 from performance year episodes.
Summary of Final Decisions: After consideration of the public
comments we received, we are adding the following new definition for
the CJR model: ``Provider of outpatient therapy services'' means a
provider or supplier furnishing--(1) Outpatient physical therapy
services as defined in Sec. 410.60 of this chapter, or (2) outpatient
occupational therapy services as defined in Sec. 410.59 of this
chapter, or (3) outpatient speech-language pathology
[[Page 73315]]
services as defined in Sec. 410.62 of this chapter.
We are finalizing our proposal, with modification to remove the
term ``independent'' preceding outpatient therapy services, that
related items and services included in CJR episodes, defined by all of
the clinical conditions requiring an admission to an IPPS hospital that
results in a discharge from MS-DRG 469 or 470 would be the following
items and services paid under Medicare Part A or Part B, after the
final exclusions are applied:
Physicians' services.
Inpatient hospital services (including readmissions), with
certain exceptions, as discussed later in this section.
IPF services.
LTCH services.
IRF services.
SNF services.
HHA services.
Hospital outpatient services.
Outpatient therapy services.
Clinical laboratory services.
DME.
Part B drugs.
Hospice.
Medicare spending for related items and services will be included
in the historical data used to set episode target prices, as well as in
the calculation of actual episode spending that would be compared
against the target price to assess the performance of participant
hospitals. In contrast, Medicare spending for unrelated items and
services (excluded from the episode definition) will not be included in
the historical data used to set target prices or in the calculation of
actual episode spending.
Additionally, we are finalizing our proposal to exclude inpatient
hospital readmissions based on the list of excluded MS-DRGs and Part B
services that report an excluded ICD-9-CM (or equivalent ICD-10-CM)
diagnosis code as the principal diagnosis based on the list posted on
the CMS Web site at: https://innovation.cms.gov/initiatives/cjr/. As we
proposed, we will exclude IPPS new technology add-on payments for
drugs, technology, and services and hemophilia clotting factors paid
separately during an inpatient hospitalization from the CJR model
episode definition. We are modifying our proposal and, under our final
policy, we will also exclude OPPS transitional pass-through payments
for devices. We are also finalizing our proposal to update the
exclusions list without rulemaking on an annual basis, at a minimum, to
reflect annual changes to ICD-CM coding and annual changes to the MS-
DRGs under the IPPS, as well as to address any other issues that are
brought to our attention by the public throughout the course of the
model test.
We will first develop potential exclusions list revisions of MS-
DRGs for readmissions and ICD-9-CM (or equivalent ICD-10-CM) diagnosis
codes for Part B services based on our assessment against the following
standards:
We would not exclude any items or services that are--
++ Directly related to the LEJR procedure itself (such as loosening
of the joint prosthesis) or the quality or safety of LEJR care (such as
post-surgical wound infection or venous thromboembolism); and
++ For chronic conditions that may be affected by the LEJR
procedure or post-surgical care (such as diabetes). By this we mean
that where a beneficiary's underlying chronic condition would be
affected by the LEJR procedure, or where the beneficiary's LEJR or
post-LEJR care must be managed differently as a result of the chronic
condition, then those items and services would be related and would be
included in the episode.
We would exclude items and services for--
++ Chronic conditions that are generally not affected by the LEJR
procedure or post-surgical care (such as removal of the prostate). By
this we mean that where a beneficiary's underlying chronic condition
would not be affected by the LEJR procedure, or where the beneficiary's
LEJR or post-LEJR care need not be managed differently as a result of
the chronic condition, then those items and services would not be
related and would not be included in the episode; and
++ Acute clinical conditions not arising from existing episode-
related chronic clinical conditions or complications of LEJR surgery
from the episode (such as appendectomy).
We will post the potential revised exclusions, which could include
additions to or deletions from the exclusions list, to the CMS Web site
to allow for public input on our planned application of these
standards, and then adopt changes to the exclusions list with posting
to the CMS Web site of the final revised exclusions list after our
consideration of the public input. Through the process for public input
on potential revised exclusions and then posting of the final revised
exclusions, we will also provide information to the public about when
the revisions would take effect and to which episodes they would apply.
These parameters could vary, depending on the relationship of exclusion
list changes to annual ICD-CM or MS-DRG changes or to other issues
brought to our attention by the public. While these revised exclusions
may correspond to the time when we provide new target prices for a
performance year, depending on the timing of when they would take
effect and to which episodes they would apply, we would recalculate
target prices as necessary.
The final definitions are set forth in Sec. 510.2 which has been
revised to remove proposed (b)(3) for inpatient hospital readmission
services because hospital readmissions are already referenced in
(b)(2). The remaining provisions under Sec. 510.2(b) have been
renumbered accordingly. The final policies for included services,
excluded services, and updating the lists of excluded services are set
forth in Sec. 510.200(b), (d), and (e). We note that Sec.
510.200(d)(3) has been renumbered to Sec. 510.200(d)(4) and Sec.
510.200(d)(3) added to state, ``Transitional pass-through payments for
medical devices as defined in Sec. 419.66 of this chapter.'' In
addition, Sec. 510.200(b)(10) has been modified to read ``Outpatient
therapy services.''
3. Duration of Episodes of Care
a. Beginning the Episode and Beneficiary Care Inclusion Criteria
While we proposed to identify LEJR episodes by an acute care
hospitalization for MS-DRG 469 and 470, we recognize that the
beneficiary's care for an underlying chronic condition, such as
osteoarthritis, which ultimately leads to the surgical procedure,
typically begins months to years prior to the surgical procedure.
Because of the clinical variability leading up to the joint replacement
surgery and the challenge of identifying unrelated services given the
multiple chronic conditions experienced by many beneficiaries, we did
not propose to begin the episode prior to the anchor hospitalization
(that is, the admission that results in a discharge under MS-DRG 469 or
470). In the proposed rule, we stated our belief that the opportunities
for care redesign and improved efficiency prior to the inpatient
hospitalization are limited for an episode payment model of this type
that focuses on a surgical procedure and the associated recovery once
the decision to pursue surgery has been made, rather than an episode
model that focuses on decision-making and management of a clinical
condition itself (such as osteoarthritis).
We proposed to begin the episode with an inpatient anchor
hospitalization for MS-DRG 469 or MS-DRG 470 in
[[Page 73316]]
accordance with the methodology described. This proposal to begin the
episode upon admission for the anchor hospitalization is consistent
with LEJR episode initiation under Model 2 of BPCI. While we did not
propose to begin the episode prior to the inpatient hospital admission,
we noted that our proposed episode definition includes all services
that are already included in the IPPS payment based on established
Medicare policies, such as diagnostic services (including clinical
diagnostic laboratory tests) and nondiagnostic outpatient services
related to a beneficiary's hospital admission provided to a beneficiary
by the admitting hospital, or by an entity wholly owned or wholly
operated by the admitting hospital (or by another entity under
arrangements with the admitting hospital), within 3 days prior to and
including the date of the beneficiary's admission. For more information
on the 3-Day Payment Window payment policies, see CMS Pub. 100-04,
Chapter 3, section 40.3 and Chapter 4, section 10.12.
We proposed that the defined population of Medicare beneficiaries
whose care will be included in CJR meet the following criteria upon
admission to the anchor hospitalization. We noted that these criteria
are also consistent with Model 2 of BPCI, as well as most other
Innovation Center models that do not target a specific subpopulation of
beneficiaries. We proposed that the LEJR episodes for all beneficiaries
in the defined population will be included in CJR (although we proposed
that certain episodes may be canceled for purposes of determining
actual episode payments for reasons discussed later in this final
rule), and we refer readers to section III.F.2. of this final rule for
further discussion of beneficiary notification and a beneficiary's
ongoing right under CJR to obtain health services from any individual
or organization qualified to participate in the Medicare program.
The beneficiary is enrolled in Medicare Part A and Part B
throughout the duration of the episode.
The beneficiary's eligibility for Medicare is not on the
basis of End Stage Renal Disease (ESRD).
The beneficiary must not be enrolled in any managed care
plan (for example, Medicare Advantage, Health Care Prepayment Plans,
cost-based health maintenance organizations).
The beneficiary must not be covered under a United Mine
Workers of America health plan, which provides healthcare benefits for
retired mine workers.
Medicare must be the primary payer.
Our proposal for inclusion of beneficiaries in CJR is as broad as
feasible, representing all those LEJR episodes for which we believe we
have comprehensive historical Medicare payment data that allow us to
appropriately include Medicare payment for all related services during
the episode in order to set appropriate episode target prices. For
beneficiaries whose care we proposed to exclude from the model, we are
unable to capture or appropriately attribute to the episode the related
Medicare payments because of Medicare's payment methodology. For
example, if a beneficiary is enrolled in a Medicare Advantage plan,
Medicare makes capitated payments (and providers do not submit complete
claims data to CMS), so we would not have a way to identify and
attribute the portion of those payments related to an LEJR episode.
More information on setting bundled payment target prices for episodes
under CJR is available in section III.C.4.b. of this final rule.
Including the broadest feasible array of Medicare beneficiaries'
admissions in the model would provide CMS with the most robust
information about the effects of this model on expenditures and quality
for beneficiaries of the widest variety of ages and comorbidities, and
allow the participant hospitals the greatest opportunity to benefit
financially from systematic episode care redesign because most Medicare
beneficiaries undergoing an LEJR procedure will be included in the
model and, therefore, subject to the policies we proposed.
We sought comment on our proposal on when to begin the CJR episode,
as well as to identify the care included for beneficiaries.
The following is a summary of the comments received and our
responses.
Comment: Most commenters agreed that the episode should begin with
the hospital admission for the LEJR procedure. Some of these commenters
noted that it would not be appropriate to include the period prior to
the hospital admission as it could include unrelated care and introduce
variability.
Several orthopedic surgeons commented that physician treatment and
care management begin prior to surgery, with the physician continuing
to manage care during surgery, following surgery, and throughout the
entire PAC period. These commenters were concerned that beginning the
episode with the hospital admission would result in beneficiaries
choosing and initiating care plans designed with their treating
physicians and later, when hospitalized, the beneficiaries would
receive conflicting care plans and, ultimately, experience adverse
outcomes.
Many commenters recommended starting the episode earlier than the
hospital admission. Some commenters recommended starting the episode
once the decision to pursue surgery is made, and some recommended
specific timeframes that ranged between four to eight weeks prior to
the surgery. Some commenters provided examples of presurgical services
that they have found improve patient outcome and satisfaction, improve
care quality, and reduce costs, such as comprehensive patient
evaluations to assess a beneficiary's overall condition and chronic
comorbid conditions; pre[hyphen]surgical counseling for
non[hyphen]medical pain management; home safety reviews;
post[hyphen]discharge planning; patient and caregiver education; weight
loss programs; and physical therapy. Some commenters requested that CMS
consider additional program rule waivers for the CJR model, beyond
those specifically proposed, to facilitate the provision of various
preoperative services and incentives that are not allowed or payable
under current Medicare rules.
A few commenters were concerned that starting the episode with the
hospital admission may lead to participants shifting costs to just
prior to the start of the episode to receive payments for those
services in addition to the bundle. To minimize gaming, they
recommended starting the episode once the surgery has been elected and
prior to the hospital admission, which is consistent with many private
sector models.
Response: We appreciate the interest expressed by the commenters in
starting comprehensive care coordination prior to the hospital
admission, and we recognize that the beneficiary's care which
ultimately leads to the LEJR surgery, including the physician-patient
relationship, often begins long before the surgical procedure. We also
appreciate concerns about providers unbundling services and shifting
costs to just prior to the episode, between the time the surgery has
been elected and the hospital admission. However, beginning the episode
too far in advance of the LEJR surgery would make it difficult to avoid
bundling unrelated items, and starting the episode prior to the
hospital admission is more likely to encompass costs that vary widely
among beneficiaries, which would make the episode more difficult to
price appropriately.
We appreciate commenters' suggestions of pre-surgical services and
[[Page 73317]]
programs that could support the continuum of care for CJR
beneficiaries. However, identifying a specific set of related
presurgical services to include in the episode, as recommended by some
commenters, would be of little value in the model because many of the
services that are typically necessary or the standard of care prior to
surgery are often included in the IPPS payment under the three day
payment window payment policies and are therefore already included in
the CJR episode. We note that some of the related services suggested by
commenters that are not typically included in the three-day payment
window are intended to more broadly manage the clinical condition(s)
that may have led to the LEJR, and as discussed previously in this
section, the CJR model is designed to focus on the surgical procedure
and the associated recovery. We also note that some of these suggested
services would be applicable to a subset of CJR beneficiaries and,
therefore, do not present a significant opportunity for improving
efficiency and redesigning care management for the typical beneficiary
receiving an LEJR.
We believe that using the date of admission as the start of the
episode is appropriate as hospitals are unlikely to shift related
services earlier than when is clinically indicated. With respect to
expanding the waivers to presurgical services that are not currently
covered or payable, we have finalized several waivers of Medicare
program rules as discussed in section III.C.11. of this final rule
specifically to assist participant hospitals in efficient and effective
care coordination and care management for CJR beneficiaries, and we do
not believe it would be consistent with the model design or otherwise
necessary for the model test to implement waivers for the preoperative
period. While we appreciate commenters' interest in providing
additional presurgical services that may enhance care coordination and
care management, the waivers of Medicare program rules are only
available if the beneficiary is in the episode at the time a service
under the waiver is furnished. We believe that allowing waivers in the
preoperative period prior to the anchor hospitalization, based on an
expectation that a beneficiary will be in a CJR Model episode, would
not be appropriate as there is no guarantee that the beneficiary will
actually initiate a CJR Model episode and qualify for services
furnished under a waiver.
For purposes of the CJR model, we continue to believe that
beginning the episode with the anchor hospitalization is most
appropriate due to the clinical variability leading up to the joint
replacement surgery and the challenge of distinguishing between related
and unrelated services. We also believe that beginning the episode with
the anchor hospitalization, and not prior to admission, would be easier
to administer and provide more consistent episodes for testing the CJR
Model. Therefore, we are finalizing our proposal to begin the episode
with admission to an inpatient anchor hospitalization for MS-DRG 469 or
MS-DRG 470 in accordance with the methodology described.
Comment: Commenters generally supported the proposed beneficiary
inclusion criteria as reasonable and consistent with other programs.
Some commenters suggested we exclude additional populations from CJR,
namely beneficiaries with serious conditions or acute diseases, such as
traumatic brain injury, spinal cord injuries, multiple-limb trauma,
amputations, moderate to severe strokes, severe neuromuscular and
musculoskeletal conditions, HIV infection, and cancer. A commenter
recommended that we design a separate model to address the needs of
patients with chronic conditions. A few commenters recommended
excluding all patients on hospice.
Many commenters recommended that if we did not exclude high risk
cases, we must develop more robust risk adjustment to account for
socioeconomic, clinical, or other risk factors that are out of the
hospital's control and impact patients' health and recovery. Some
commenters were concerned that without accurate risk adjustment,
hospitals will have an incentive to avoid higher-risk LEJR candidates.
A commenter cited a study that found significant differences in
Medicare spending per beneficiary during the 90-day episode based on
various patient characteristics, such as type of LEJR surgery;
emergency versus scheduled surgery; hip fractures versus degenerative
conditions; patients age 85 or older; patients with multiple
comorbidities, and patients who were dual eligible. The commenter
asserted that robust risk adjustment based on the risk profile of each
hospital's patients is essential for the CJR model because individual
hospitals will not have enough enrollment to spread their risk. A few
commenters recommended that at least the initial implementation of the
Model should exclude vulnerable populations with complicated or
intensive care needs until the CJR model demonstrates sufficient
quality outcomes and has developed accurate risk adjustments and
patient safeguards to ensure high-quality care for populations that the
commenters believe could face serious care disadvantages in the CJR
model.
Response: Many beneficiaries undergoing procedures that result in
discharge from MS-DRG 469 and 470 have underlying conditions that may
affect care throughout the episode or that may be influenced by the
surgical procedure that initiates the episode. We believe it is
important to include these beneficiaries in the model so that they can
benefit from care coordination and management throughout the episode,
and including the broadest feasible array of Medicare beneficiaries in
the CJR model provides participant hospitals with greater incentive to
redesign episode care. We also believe that patients in hospice would
benefit from the improved comprehensive care coordination incentivized
by the CJR model, and we refer readers to the related discussion in
section III.B.2. of this final rule regarding our policy to include
hospice claims in the episode.
We refer readers to section III.C.4.b. of this final rule for the
final policy that will risk stratify the target prices based on the
presence or absence of a hip fracture for CJR model beneficiaries. We
believe that this risk stratification policy addresses many of the
commenters' concerns that beneficiaries with serious conditions, acute
diseases, and chronic conditions are likely to need more costly care
throughout the CJR model episode that would have been inadequately paid
under our proposal because these beneficiaries are those most likely to
be present in the population receiving LEJR procedures emergently due
to a hip fracture.
Comment: Several commenters recommended that CMS exclude
beneficiaries who opted out of data sharing. These commenters asserted
that it would be virtually impossible to manage risk and improve
outcomes without claims data.
Response: As discussed in section III.E. of this final rule, we
have decided not to finalize our proposal to allow beneficiaries the
opportunity to decline having their data shared. We refer readers to
section III.E. of this final rule for additional discussion of data
sharing.
Comment: Some commenters suggested that CMS limit the CJR model to
beneficiaries that live within a limited distance from participant
hospitals so that the hospital would not be penalized for inadequately
managing the PAC of medically complex patients from remote or distant
locations.
Response: We expect that in some limited circumstances, participant
[[Page 73318]]
hospitals will have limited ability to coordinate care. However,
following the care coordination that takes place in the hospital, we
believe that much of the subsequent coordination for PAC can be
accomplished through telecommunications that do not require the patient
to remain within geographic proximity of the hospital. Moreover, the
design of the model does not preclude hospitals from coordinating care
with local providers outside of their immediate referral area. We also
note that we have finalized several waivers of Medicare program rules,
as discussed in section III.C.11. of this final rule, to facilitate
efficient and effective care coordination for beneficiaries in remote
or distant locations outside the immediate community. Therefore, we
will not exclude beneficiaries who are referred to participant
hospitals from other areas.
Comment: A commenter requested CMS to consider including
beneficiaries enrolled in MA plans in the model as they are likely to
be healthier and their inclusion will help hospitals maintain costs
within their targets. The commenter recognizes that the CJR payment
methodology makes it difficult to identify and attribute payment
related to the LEJR episode. However, the commenter asserts that
participant hospitals in states with a high percentage of beneficiaries
enrolled in MA plans are more likely to care for CJR patients with a
higher than average risk profile, which could make it more difficult
for a hospital to maintain costs within the target rate.
Response: We appreciate the commenter's interest in increasing the
population of beneficiaries included in the CJR model, and we recognize
that participant hospitals with higher risk CJR beneficiaries may find
it more challenging to maintain actual aggregate episode payments
within their target price. However, as discussed previously in this
section, Medicare makes capitated payments for beneficiaries enrolled
in MA plans, and providers do not submit complete claims data to CMS.
Therefore, we are finalizing our proposal not to include beneficiaries
enrolled in MA plans because we are unable to capture or appropriately
attribute to the episode the related Medicare payments.
Comment: A couple of commenters requested that CMS exclude episodes
where the LEJR surgery was furnished either by an opt-out physician,
because the principal procedure is not paid by Medicare, or by a non-
participating physician who does not accept assignment. They requested
that if such episodes are to be included, CMS should establish policies
under which participant hospitals can provide reconciliation payments
to and receive alignment payments from opt-out physicians as well as
non-participating physicians.
Response: Consistent with the BPCI policy, we do not believe it
would be appropriate to exclude beneficiaries from the CJR model if a
physician who opted out of Medicare pursuant to Sec. 405.420 or a non-
participating physician performs the LEJR surgery during the anchor
hospitalization. We would expect that beneficiaries undergoing LEJR
procedures, regardless of the Medicare participation or opt-out status
of the operating surgeon, would have similar needs for care
coordination and management throughout the episode period that extends
90 days post-hospital discharge, and we see no reason that hospitals
should not have the same quality and cost performance responsibility
for these episodes. We note that less than 15 percent of episode
spending, on average, would be expected to be paid for physicians'
services, with more than 80 percent of the episode payment made for
inpatient hospital and PAC services. Thus, for a beneficiary who
otherwise meets the CJR model's inclusion criteria, a CJR model episode
would begin at the time of the beneficiary's admission for the anchor
hospitalization, regardless of whether an opt-out physician or non-
participating physician performs the LEJR surgery during that stay.
We refer readers to section III.C.3. of this final rule for
discussion of the effect on reconciliation payments on services
furnished by non-participating and opt-out physicians and to section
III.C.10.a. of this final rule for discussion of issues related to
gainsharing payments and alignment payments.
Summary of Final Decisions: After consideration of the public
comments we received, we are finalizing our proposal to begin the
episode with admission for an inpatient anchor hospitalization for MS-
DRG 469 or MS-DRG 470 in accordance with the methodology described. We
also are finalizing our proposal as to the criteria for beneficiary
inclusion in the model as follows:
The beneficiary is enrolled in Medicare Part A and Part B
throughout the duration of the episode.
The beneficiary's eligibility for Medicare is not on the
basis of ESRD.
The beneficiary must not be enrolled in any managed care
plan (for example, Medicare Advantage, Health Care Prepayment Plans,
cost based health maintenance organizations).
The beneficiary must not be covered under a United Mine
Workers of America health plan, which provides healthcare benefits for
retired mine workers.
Medicare must be the primary payer.
The final policies for beginning an episode are set forth in Sec.
510.210(a). The final policies for beneficiary inclusion are set forth
in Sec. 510.205.
b. Middle of the Episode
We proposed that once the episode begins for a beneficiary whose
care is included, the episode continues until the end as described in
the next section of this final rule, unless the episode is canceled
because the beneficiary no longer meets the same inclusion criteria
proposed for the beginning of the episode at any point during the
episode. When an episode is canceled, we proposed that the services
furnished to beneficiaries prior to and following the episode
cancellation will continue to be paid by Medicare as usual but we will
not calculate actual episode spending that would otherwise under CJR be
reconciled against the target price for the beneficiary's care (see
section III.C.6. of the proposed rule). As discussed in section
III.C.11.a. of the proposed rule, if the beneficiary is in the episode
at the time the service under the waiver is furnished, the waiver is
available, even if the episode is later canceled.
In the proposed rule, we stated our belief that it would be
appropriate to cancel the episode when a beneficiary's status changes
during the episode such that they no longer meet the criteria for
inclusion because the episode target price reflects full payment for
the episode, yet we would not have full Medicare episode payment data
for the beneficiary to reconcile against the target price.
In addition, we proposed that the following circumstances would
also cancel the episode:
The beneficiary is readmitted to an acute care hospital
during the episode and discharged under MS-DRG 469 or 470 (in this
case, the first episode would be canceled and a new LEJR episode would
begin for the beneficiary).
The beneficiary dies during the anchor hospitalization.
The beneficiary initiates an LEJR episode under BPCI
Models 1, 2, 3 or 4.
In the case of beneficiary death during the anchor hospitalization,
we stated our belief that it would be appropriate to cancel the episode
as there are limited efficiencies that could be expected during the
anchor hospitalization itself. In the case of beneficiary readmission
during the first
[[Page 73319]]
CJR episode for another LEJR (typically a planned staged second
procedure), we stated our belief that it would not be appropriate to
include two episodes in the model with some time periods overlapping,
as that could result in attribution of the Medicare payment for 2
periods of PAC to a single procedure.
We sought comment on our proposals to cancel episodes once they
have begun but prior to their end.
The following is a summary of the comments received and our
responses.
Comment: Commenters were generally supportive of our proposals for
canceling the episode, though many recommended additional circumstances
for canceling the episode, such as adverse events which are beyond the
hospital's control. Many commenters, including MedPAC, recommended that
CMS cancel the episode if the beneficiary dies at any time during the
episode, arguing that such cases could be extremely low or high cost
and spending is, therefore, not typical. These commenters recommended
that all episodes that end in patient death should be excluded from the
calculations of the target price and reconciliation amounts, not just
those episodes where patients die during the initial hospitalization as
CMS proposed, as this type of episode of care could skew the data.
Given that hospitals are held financially responsible for the entire
90-day episode, a few commenters suggested excluding all episodes with
death for consistency and administrative simplicity. A commenter
observed that a deceased beneficiary no longer meets all of the
beneficiary inclusion criteria, and on that basis recommended that CMS
cancel the episode when the patient dies. A commenter suggested also
canceling episodes for any beneficiaries that die during the 30 day
post-episode monitoring period. Some commenters suggested that other
circumstances should cancel an episode, such as a beneficiary
geographic move, change in beneficiary residence from a home to a
facility, and loss of the beneficiary to follow up care.
Response: While beneficiary deaths during LEJR episodes are
uncommon, we expect them to vary unpredictably across hospitals and,
therefore, we agree that it would be appropriate to cancel episodes
under these circumstances. We also agree that canceling all episodes
during which a beneficiary dies is consistent with the otherwise
applicable episode duration as the episode would not extend to 90 days
hospital post-discharge. However, we would include episodes where the
patient dies during the 30 days post-episode as this would not affect
the variability of episode spending, and it would be appropriate to
monitor for beneficiary death during the immediate post-episode period.
We expect some limited circumstances where participant hospitals
will have limited ability to coordinate care. However, we believe that
participant hospitals will be incentivized to seek creative solutions
that do not rely on in-person services, and we are finalizing our
proposal that all other beneficiary episodes would remain in the CJR
model, regardless of where the beneficiary is located. Payment for
beneficiaries in these circumstances will be reflected in the target
prices based on historical utilization.
Comment: Commenters urged CMS to hold beneficiaries and providers
financially harmless for care received as part of a CJR episode if the
episode is later canceled. A few commenters supported the continued
application of Medicare program waivers if an episode is canceled when
a beneficiary's status changes, and a few commenters were unclear if
waivers apply to beneficiaries who are retrospectively identified as
ineligible for CJR program waivers due to changes in coverage status.
Response: As discussed previously in this section, we proposed that
if the beneficiary is in the episode at the time the service under the
program rule waiver is furnished, the waiver is available, even if the
episode is later canceled. If the beneficiary is not in the episode at
the time the service under the waiver is furnished, financial liability
for these services would be determined in accordance with the policies
outlined in the Medicare Claims Processing Manual (Pub. L. 100-04),
Chapter 30. As we gain experience with CJR, we may revisit this issue
in future rulemaking. We refer readers to section III.C.11. of this
final rule for additional discussion and our finalized policy to apply
waivers of programs rules if the beneficiary is in the episode at the
time the service under the waiver is furnished, even if the episode is
later canceled.
Comment: A commenter was concerned that initiation of a BPCI
episode would cancel a CJR episode, when the CJR episode begins first.
The commenter also requested clarification whether a BPCI episode for a
different clinical condition, such as cardiac procedures, would cancel
a CJR LEJR episode.
Response: We proposed and are finalizing our policy that a CJR
episode would be canceled when a beneficiary initiates an LEJR episode
under BPCI Models 1, 2, 3, or 4. A CJR beneficiary initiating a
different clinical episode under BPCI Models 1, 2, 3, or 4 would remain
in a CJR episode. We refer readers to section III.C.7.b. of this final
rule for additional discussion of CJR beneficiary overlap with BPCI
episodes.
Summary of Final Decisions: After consideration of the public
comments we received, we are finalizing our proposal to cancel episodes
once they have begun but prior to their end if the beneficiary no
longer meets the same inclusion criteria proposed for the beginning of
the episode at any point during the episode. We also are finalizing our
proposal that the following circumstances would also cancel an episode:
The beneficiary is readmitted to a participant hospital
during the episode and discharged under MS-DRG 469 or 470.
The beneficiary initiates an LEJR episode under BPCI
Models 1, 2, 3 or 4.
We are modifying our proposal for canceling an episode when a
beneficiary dies during an anchor hospitalization. Under our final
policy, the following circumstance would also cancel an episode:
The beneficiary dies at any time during the episode.
The final policies for cancellation of an episode are set forth in
Sec. 510.210(b). We note that Sec. 510.210(b)(4) has been revised to
state that an episode is canceled if the beneficiary dies during the
episode.
c. End of the Episode
LEJR procedures are typically major inpatient surgical procedures
with significant associated morbidity and a prolonged recovery period
that often is marked by significant PAC needs, potential complications
of surgery, and more intense management of chronic conditions that may
be destabilized by the surgery. In light of the course of recovery from
LEJRs for Medicare beneficiaries, we proposed that an episode in the
CJR model end 90 days after discharge from the acute care hospital in
which the anchor hospitalization (for MS-DRG 469 or 470) took place.
Hereinafter, we refer to the proposed CJR model episode duration as the
``90-day post-discharge'' episode. To the extent that a Medicare
payment for included services spans a period of care that extends
beyond the episode duration, we proposed that these payments would be
prorated so that only the portion attributable to care during the fixed
duration of the episode is attributed to the episode spending.
We noted that for the vast majority of beneficiaries undergoing a
hip or knee joint replacement, a 90-day post-
[[Page 73320]]
discharge episode duration encompasses the full transition from acute
care and PAC to recovery and return to activities. We stated our belief
that the 90-day post-discharge episode duration encourages acute care
hospitals, physicians, and PAC providers to promote coordinated,
quality care as the patient transitions from the inpatient to
outpatient settings and the community.
In proposing the 90-day post-discharge duration for LEJR episodes
in CJR, we took into consideration the literature regarding the
clinical experiences of patients who have undergone THA or TKA
procedures. In 2007-2008, the 30-day all-cause readmission rate for
primary THA among Medicare beneficiaries was 8.5 percent, while the 90-
day all-cause readmission rate was 11.9 percent, indicating that while
the rate of readmission begins to taper after 30 days, readmissions
continue to accrue throughout this 90 day window.\6\ In single center
studies, Schairer et al found unplanned 30-day hospital readmission
rates were 3.5 percent and 3.4 percent and unplanned 90-day hospital
admission rates were 4.5 percent and 6 percent for primary THA and TKA,
respectively, demonstrating that the risk of readmission remains
significantly elevated from 30 through 90 days post-hospital
discharge.\7\ \8\ Further exploring the reasons for unplanned admission
for TKAs within 90 days of a knee replacement procedure, Schairer et al
found that 75 percent were caused by surgical causes such as
arthrofibrosis and surgical site infection. Additional information on
the common reasons for hospital readmission following TKA or THA can be
obtained from The American College of Surgeons National Surgical
Quality Improvement Program.\9\ These data identified the top 10
reasons for readmission within 30 days of a hip or knee arthroplasty:
---------------------------------------------------------------------------
\6\ Cram P, Lu X, Kates SL, Singh JA, Li Y, Wolf BR. Total Knee
Arthroplasty Volume, Utilization, and Outcomes Among Medicare
Beneficiaries, 1 991-2010. JAMA. 2012;308(12):1227-1236.
doi:10.1001/2012.jama.11153.
\7\ Schairer WW, et al. Causes and frequency of unplanned
hospital readmission after total hip arthroplasty. Clin Orthop Relat
Res. 2014 Feb;472(2):464-70. doi: 1 0.1007/s11999-013-3121-5.
\8\ Schairer WW, et al. What are the rates and causes of
hospital readmission after total knee arthroplasty? Clin Orthop
Relat Res. 2014 Jan;472(1):181-7. doi: 1 0.1007/s11999-013-3030-7.
\9\ Merkow RP, Ju MH, Chung JW, et al. Underlying Reasons
Associated With Hospital Readmission Following Surgery in the United
States. JAMA. 2015;313(5):483-495. doi:10.1001/jama.2014.18614.
---------------------------------------------------------------------------
Surgical site infections (18.8 percent).
Prosthesis issues (7.5 percent).
Venous thromboembolism (6.3 percent).
Bleeding (6.3 percent).
Orthopedic related (5.1 percent).
Pulmonary (3.2 percent).
Cardiac (2.4 percent).
CNS or CVA (2.4 percent).
Ileus or Obstruction (2.3 percent).
Sepsis (2.1 percent).
In addition, the authors concluded that ``readmissions after
surgery were associated with new post-discharge complications related
to the procedure and not exacerbation of prior index hospitalization
complications, suggesting that readmissions after surgery are a measure
of post-discharge complications.'' Finally, with regard to the
potential for readmission for joint replacement revision within a 90-
day post-discharge episode, in a twelve-year study on Medicare patients
conducted by Katz, et al., the risk of revision after THA remained
elevated at approximately 2 percent per year for the first eighteen
months and then 1 percent per year for the remainder of the follow-up
period.\10\ This study suggests that a longer episode, as opposed to a
shorter episode, is more likely to simulate the increased risk of
revision LEJR patients face.
---------------------------------------------------------------------------
\10\ Katz JN, et al. Twelve-Year Risk of Revision After Primary
Total Hip Replacement in the U.S. Medicare Population. J Bone Joint
Surg Am. 2012 Oct 1 7; 94(20): 1 825-1832. doi: 1 0.2106/
JBJS.K.00569.
---------------------------------------------------------------------------
In order to address the complication rates associated with elective
primary total hip or knee arthroplasty, we developed an administrative
claims-based measure (for a detailed description of the measure see
section III.D. of the proposed rule). During the development of the
Hospital-level Risk-Standardized Complication Rate (RSCR) following
elective primary THA or TKA or both, complications of elective primary
total hip or knee replacement were identified to occur within specific
timeframes.\11\ For example, analyses done during the development of
the measure as well as Technical Expert Panel opinion found that--(1)
Mechanical complications and periprosthetic joint infection/wound
infection are still attributable to the procedure for the 90 days
following admission for surgery; (2) death, surgical site bleeding, and
pulmonary embolism are still likely attributable to the hospital
performing the procedure for up to 30 days; and (3) medical
complications of acute myocardial infarction (AMI), pneumonia, and
sepsis/septicemia/shock are more likely to be attributable to the
procedure for up to 7 days.
---------------------------------------------------------------------------
\11\ Hospital Quality Initiatives. Measure Methodology.
Available at: https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/HospitalQualityInits/Measure-Methodology.html. See Hip and Knee Arthroplasty Complications zip
file under downloads. Accessed on April 10, 2015.
---------------------------------------------------------------------------
Other factors further supporting a 90-day post-discharge episode
duration are the elevated risk of readmission throughout this time
period, as well as the fact that treatment for pneumonia is considered
by American Thoracic Society guidelines to be ``health care-
associated'' if it occurs up to 90 days following an acute care
hospitalization of at least 2 days.\12\ According to the American
Academy of Orthopedic Surgeons, patients undergoing total hip
replacement should be able to resume most normal light activities of
daily living within 3 to 6 weeks following surgery.\13\ In a small
randomized controlled trial of two approaches to hip arthroplasty,
average time to ambulation without any assistive device was 22-28
days.\14\ According to a 2011 systematic review of studies evaluating
physical functioning following THA, patients have recovered to about 80
percent of the levels of controls by 8 months after surgery.\15\
---------------------------------------------------------------------------
\12\ Guidelines for the management of adults with hospital-
acquired, ventilator-associated, and healthcare-associated
pneumonia. American Thoracic Society, Infectious Diseases Society of
America. Am J Respir Crit Care Med. 2005;171(4):388.
\13\ https://orthoinfo.aaos.org/topic.cfm?topic=A00377.
\14\ Taunton MJ, et al. Direct Anterior Total Hip Arthroplasty
Yields More Rapid Voluntary Cessation of All Walking Aids: A
Prospective, Randomized Clinical Trial The Journal of Arthroplasty.
Volume 29, Issue 9, Supplement, September 2014, Pages 169-172.
\15\ Vissers MM, et al. Recovery of Physical Functioning After
Total Hip Arthroplasty: Systematic Review and Meta-Analysis of the
Literature. Physical Therapy May 2011 vol. 91 no. 5 615-629.
---------------------------------------------------------------------------
We also refer readers to a study by the Assistant Secretary for
Planning and Evaluation (ASPE) in the U.S. Department of Health and
Human Services that assessed the mean payments for acute care, PAC, and
physician services grouped in the MS-DRG 470.\16\ In this study, CMS
payment for services following an MS-DRG 470 hospitalization were
concentrated within the first 30 days following discharge, with
plateauing of payments between 60- or 90-days post-discharge.
---------------------------------------------------------------------------
\16\ Post-Acute Care Episodes Expanded Analytic File. Assistant
Secretary for Planning and Evaluation. U.S. Department of Health and
Human Services. April 2011.
---------------------------------------------------------------------------
[[Page 73321]]
[GRAPHIC] [TIFF OMITTED] TR24NO15.001
Finally, payment and length of stay analyses found the average
length of stay in PAC during a 90-day post-discharge episode for MS-DRG
470 to be 47.3 days, indicating that a longer period post-discharge of
90 days is reasonable as a proposal to end the episode of care.\17\ We
noted that these analyses did not include any time between hospital
discharge and the start of PAC.
---------------------------------------------------------------------------
\17\ Analysis of Post-Acute Care Episode Definitions File.
https://innovation.cms.gov/initiatives/bundled-payments/learning-area.html.
Table 6--Cost and Length of Stay Statistics for MS-DRG 470 for Various Episode Durations
----------------------------------------------------------------------------------------------------------------
Statistics for DRG 470 (2006 data) 30-day episode 60-day episode 90-day episode
----------------------------------------------------------------------------------------------------------------
Mean Medicare spending per hospital discharge................... $18,838 $20,343 $21,125
(acute+PAC+physician)...........................................
Mean payment for anchor hospitalization......................... $10,463 $10,463 $10,463
Mean payment for PAC............................................ $6,835 $8,339 $9,122
Mean payment for physicians (during anchor hospitalization)..... $1,540 $1,540 $1,540
Mean payment for readmission (includes all PAC users, even if no $550 $929 $1,242
readmission occurs during the episode).........................
Mean length of stay (LOS) for PAC............................... 25.5 days 39.6 days 47.3 days
----------------------------------------------------------------------------------------------------------------
Note: Data are per PAC user (88% of beneficiaries hospitalized under MS-DRG 470 are discharged to PAC). PAC
users are defined as beneficiaries discharged to SNF, IRF, or LTCH within 5 days of discharge from the index
acute hospitalization, or discharged to HHA or hospital outpatient therapy within 14 days of discharge from
the index acute hospitalization. Mean LOS for PAC does not include any gap between hospital discharge date and
start of PAC.
Other tests of bundled payment models for hip and knee replacement
have used 90-day post-discharge episodes.\18\ We also noted that
despite BPCI Model 2 allowing participants a choice between 30-, 60-,
or 90-day post-discharge episodes, over 86 percent of participants have
chosen the 90-day post-discharge episode duration for the
[[Page 73322]]
LEJR episode. Furthermore, a 90-day post-discharge episode duration
aligns with the 90-day global period included in the Medicare Physician
Fee Schedule (MPFS) payment for the surgical procedure.
---------------------------------------------------------------------------
\18\ Ridgely MS, et al. Bundled Payment Fails To Gain A Foothold
In California: The Experience Of The IHA Bundled Payment
Demonstration. Health Affairs, 33, no.8 (2014):1345-1352.
---------------------------------------------------------------------------
We also considered proposing a 60-day post-discharge episode
duration, but the full transition of care following LEJR would exceed
this window for some beneficiaries, especially those who are discharged
to an institutional PAC provider initially and then transition to home
health or outpatient therapy services for continued rehabilitation.
According to a report from ASPE on Medicare beneficiaries receiving PAC
following major joint replacement in 2006, 13 percent first receive SNF
services and then receive HHA services--with a total mean episode
duration of 56.8 days.\19\ An additional 9.2 percent receive HHA
services first and then receive outpatient therapy services--with a
total mean episode duration of 78.7 days. Finally, 6.7 percent receive
IRF services first and then HHA services (total mean length of stay
55.3 days), and 4.8 percent receive SNF services first and then
outpatient therapy services (total mean length of stay 71.5 days). The
remainder only receives one type of PAC.
---------------------------------------------------------------------------
\19\ Examining Post-Acute Care Relationships in an Integrated
Hospital. Assistant Secretary for Planning and Evaluation. U.S.
Department of Health and Human Services. February 2009
---------------------------------------------------------------------------
Therefore, in order to be inclusive of most possible durations of
recovery, and services furnished to reach recovery, we proposed the 90-
day post-discharge episode duration for CJR. We stated our belief that
beneficiaries will benefit from aggressive management and care
coordination throughout this episode duration, and hospitals will have
opportunities under CJR to achieve efficiencies from care redesign
during the 90-day post-discharge episode period.
We sought comment on our proposal to end the episode 90 days after
the date of discharge from the anchor hospitalization, as well as on
the alternative we considered of ending the CJR episode 60 days after
the date of discharge.
The following is a summary of the comments received and our
responses.
Comment: Most commenters supported the 90-day post-discharge
episode duration. Many of these commenters provided rationales for
supporting the 90-day duration (as compared to 60 days or other shorter
durations), such as: It is a clinically appropriate length to manage an
LEJR to recovery; it creates strong incentives for collaboration for
multiple providers across the care continuum that improves care
transitions and care coordination; it will promote better long-term
results; it aligns with quality measures; and it is the most popular
timeframe selected for BPCI Model 2. Some of these commenters asserted
that a shorter duration is not sufficiently long to capture the vast
majority of issues arising directly from LEJR procedures and could put
beneficiary care at risk by encouraging providers to reduce utilization
inappropriately or shift utilization outside of an episode.
A few commenters supported a 90-day episode duration, but
recommended that we revise the 90-day post-discharge episode duration
to begin from the date of surgery instead of discharge, thereby
aligning the episode with the MPFS global surgical period and billing
policies. A commenter who appeared to believe that CMS proposed to
begin the CJR episode immediately after discharge from the anchor
hospitalization and extend the episode 90 days post-hospital discharge,
rather than upon admission for the anchor hospitalization as CMS
actually proposed, asserted that beginning the episode after hospital
discharge would make it difficult to understand and account for patient
acuity changes within the episode in the post-discharge period as the
hospital length-of-stay is related to the PAC acuity of the beneficiary
following hospital discharge, especially if the beneficiary has
comorbidities. In other words, the commenter believed that
beneficiaries with comorbidities would be more likely to have longer
anchor hospitalizations and associated higher intensity of PAC
services, yet CMS would not understand these relationships if the
anchor hospitalization was not included in the episode.
Several commenters supported a 60-day post-discharge episode
duration because LEJR patients are nearly fully recovered within 60
days. Some commenters asserted that PAC services associated with LEJR
rarely occur after 60 days post-discharge; some commenters cited data
that the majority of services for patients with LEJR surgery occur
within two months of discharge with only a 6.2 percent change in the
total cost of an episode between a 60-day episode and a 90-day episode.
Some of these commenters asserted that a 60-day episode would be
sufficient to evaluate quality and cost, and a longer duration would
increase the financial risk for hospitals without providing significant
value to CMS. Some commenters asserted that a 90-day duration increases
the risk that unrelated random events that occur well after surgery
will disadvantage the hospitals by unfairly impacting participants'
performance.
Some commenters recommended a hybrid approach, with every service
within the first 30 days post-discharge assumed to be related unless
specifically excluded, and services in days 31-90 included only if they
meet specified criteria for relatedness.
Some commenters recommended that the episode end prior to 60 days
post-discharge. A commenter recommended an episode length of 45 to 60
days, asserting that hospital admissions past the 45 to 60 day window
would be for chronic medical admissions that are unrelated to the LEJR
procedure. A few commenters recommended that we limit the episode to 30
days citing various rationales, such as: A SNF stay must commence
within 30 days of a hospitalization; 30 days better aligns with other
quality improvement initiatives such as readmissions; analyses by
Medicare Payment Advisory Commission (MedPAC) and the Congressional
Budget Office that found that the majority of a bundled payment's
episode costs are incurred during the first 30 days; and hospitals may
find it difficult to manage follow-up care after 30 days if patients
have more than one residence. Several commenters asserted that multiple
factors can exacerbate comorbidities in the period beyond 30 days post-
operatively, and a model of longer duration that broadly defines
related services could result in participant hospitals being more
cautious about selecting patients for LEJR and complex patients being
discouraged from seeking LEJR procedures in a participant hospital. A
few of these commenters noted that Tennessee and Arkansas only include
30 days post-discharge for unrelated chronic conditions in their
bundled payment episodes. A commenter shared its experience that, while
nearly all patients are diligent about keeping 14-day and 30-day post-
operative appointments, those with good outcomes are less likely to
return for appointments at 90 days and beyond, resulting in potentially
skewed outcomes as patients with complications are much more likely to
keep a follow-up appointment at 90 days.
Some commenters recommended giving participant hospitals the
flexibility to define the episode duration, either as a duration for
all of a participant hospital's LEJR episodes, or to choose a duration
based on a patient's clinical condition and comorbidities. A couple of
commenters
[[Page 73323]]
recommended that if CMS offers participants the option to choose the
duration, consistent with BPCI, CMS should lower the discount
percentage for those willing to take the longer episodes. A commenter
disagreed with CMS' cited rationale of the operational simplicity of a
single duration for all LEJR episodes by noting that BPCI Model 2
operationalized a variety of different bundles and gave participants
the choice of three durations for 48 different clinical episodes.
Other commenters suggested even longer episode durations. A
commenter recommended increasing the episode duration to 150 days post-
discharge to promote better long-term results and reduce the likelihood
of delaying care beyond the end of the episode, specifically urging CMS
to adopt a longer episode period for certain clinically-complex
subpopulations with predictably longer recovery timeframes. For outcome
and quality measurement purposes, some commenters recommended that
participant hospitals be held accountable for a longer period, with
suggestions of six months, a year, and even two to three years. A
commenter recommended increasing the episode duration to two years to
better manage the improvements for the entirety of the treatment. A
commenter recommended increasing the episode duration to five years to
account for the late effects of sub-optimal implant selection.
Response: We appreciate the support of many commenters for the
proposed 90-day post-hospital discharge CJR model episode duration. We
agree with the commenters that this relatively long episode duration
should capture the great majority of health care services that are
related to the episode, as well as the beneficiary's return to function
and short- and medium-term health outcomes. We believe this episode
duration provides participant hospitals with a substantial period of
time in which to work to improve the quality and efficiency of LEJR
episode performance for beneficiaries who undergo LEJR surgery at their
hospital. We have substantial BPCI Model 2 experience with Awardees
engaged in testing 90-day LEJR episodes, and note that the vast
majority of Awardees have selected the 90-day episode duration,
compared to the 30-day and 60-day alternative durations that are
available in the model. Our goal is to incentivize efficient high
quality care that returns people to the community, and we believe that
a 90-day post-discharge duration reflects a full continuum of clinical
services and transition of care following LEJR procedures for the
average beneficiary, at which time the patient's functional recovery is
relatively complete and the patient is able to resume most normal
activities of daily living.
Due to the concentration of Medicare spending in the earlier part
of the episode, we also believe that a 90-day episode duration only
nominally increases the hospital's financial risk when compared to 30
or 60 days. While we understand that uncommon events during the 90-day
episode may occur for an individual beneficiary, resulting in an
unanticipated or unavoidable need for costly health care services, we
believe that our episode definition that excludes unrelated items and
services and our payment policies, namely the adjustment for high
payment episodes and stop-loss policies discussed in sections III.C.3.
and III.C.8. of this final rule, provide sufficient protections for
participant hospitals from undue financial responsibility for the care
of unrelated clinical conditions as well as for unusual circumstances.
We also believe that shorter episode durations may incur a higher
clinical risk for beneficiaries if participants delay services beyond
the episode, and the risk to beneficiaries of this response by
providers to episode payment that can be minimized by the longer 90-day
episode duration that we proposed. We refer readers to sections
III.F.3. and 5. of this final rule for discussion of our plans to
monitor for access to care and delayed care.
In response to those commenters requesting a hybrid approach where
CMS would include a broader set of related services in the 30 days
following discharge from the anchor hospitalization and a more limited
set of related services from days 31 to 90 because of the closer
clinical link of a beneficiary's clinical conditions in the first 30
days to the events during the anchor hospitalization itself, we
emphasize that the CJR model is an episode payment model where many
Medicare beneficiaries who receive PAC services as part of their post-
operative recovery from surgery will also have underlying health
conditions that may be affected by the surgery itself and care
throughout the recovery period and that require attentive, flexible
management if good health outcomes are to be achieved. Because PAC
services are designed to be comprehensive in nature, we believe that
the same Part A and Part B services should be included throughout the
episode duration because PAC providers should broadly address the
beneficiary's health care needs in high quality, efficient episodes,
even though the anchor hospitalization itself may be more remote from
the beneficiary's health needs as the time from hospital-discharge
increases. As discussed in section III.A.3. of this final rule, we have
identified hospitals as the financially responsible organization for
the episode, although episode quality and cost performance will clearly
be related in part to the quality and efficiency of care furnished by
other providers and suppliers treating the beneficiary throughout the
episode. We expect that participant hospitals will develop the care
pathways and partnerships with other providers and suppliers necessary
for the hospital to be successful in this responsibility, and this
model provides a variety of tools that should be helpful to participant
hospitals, such as waivers of Medicare program rules, the opportunity
to engage in certain financial arrangements, and the ability to offer
certain beneficiary incentives (as discussed in sections III.C.11. and
III.C.10. of this final rule, respectively).
We appreciate the interest of some commenters in significantly
longer episodes than the 90 days post-hospital discharge period we
proposed, in order to include the longer recovery period that some
beneficiaries may require as well as to account for longer term health
outcomes, because the timing or frequency of joint replacement
revisions may be related to implant selection, surgical technique, or
other aspects of the primary joint replacement procedure. However, as
previously noted, we believe that a 90-day post-discharge duration
reflects a full continuum of clinical services and transition of care
following LEJR procedures for the average CJR beneficiary, and we do
not believe it would be an appropriate test of the model to extend the
CJR episode duration beyond 90 days post-hospital discharge to reflect
the longer recovery needed by some beneficiaries. Moreover, as noted
previously in this section, the CJR model focuses on the surgical
procedure and the associated recovery, and at this time, we are not
testing a model of longer term outcomes. Therefore, we are not going to
incorporate a longer time period in the episode, and will not include
periods beyond then, other than to monitor the 30-day post-episode
period. The 30-day post-episode period is discussed in section
III.C.8.d. of this final rule, where we describe the CJR model policy
that holds participant hospitals financially responsible for
significantly increased Medicare Parts A and B spending in the 30 days
immediately following the end of the episode. We note that the
[[Page 73324]]
evaluation described in section IV. of this final rule will focus on a
variety of key topics including potential unintended consequences such
as cost shifting beyond the CJR model episode period and stinting on
medically necessary and appropriate care. As such, CMS anticipates the
examination of claims submitted beyond the 90-day episode will be
incorporated in the evaluation strategy. Finally, we maintain that
allowing for multiple durations would be administratively complex for a
model of this scope as it would be akin to implementing multiple models
concurrently, each with its own customized payment calculations, risk
adjustments, and other elements. We do not believe a variable approach
such as is used in BPCI, which is a voluntary model, is appropriate for
this large test of LEJR episode payment for all IPPS hospitals in the
selected MSAs, as it would greatly increase the administrative
complexity of the CJR model. We also believe that a standard duration
for all episodes is important for this test of LEJR episode payment in
providing us with a larger sample of episodes of the same duration from
which we can learn.
Regarding the request to align the CJR model episode duration with
the MPFS by beginning the 90-day duration on the date of surgery,
rather than on the date of discharge from the hospital, we do not agree
with this suggestion. We believe that the 90-day global surgical period
for LEJR procedures under the MPFS lends support for an episode
duration under the CJR model that is similar, because beneficiaries
have a significant post-operative recovery period throughout which
close care coordination and management among treating providers is
important to beneficiary return to function. The MPFS global payment
policy sets an expectation that the operating surgeon plays a
significant role in caring for beneficiaries in the typical case that
extends up to 90 days following surgery. However, using this same 90-
day accounting methodology under the CJR episode would lead to model
episodes including variable post-discharge lengths because the duration
of the anchor hospitalization, which can vary substantially, would
count toward the 90 days. We are interested in testing under the CJR
model an episode duration that is most likely to cover the time for the
beneficiary's full recovery and return to the community so we believe
that including a standard length of 90 days post-hospital discharge is
the best way to ensure that each CJR beneficiary's episode includes the
same length of post-hospital discharge recovery in the episode. We do
not believe the minor 90-day definitional differences between this
model and the MPFS global billing policies for LEJR procedures should
create significant problems for physicians collaborating with
participant hospitals in the episode care of CJR model beneficiaries.
In response to the commenter concerned that starting the bundle
after hospital discharge would make it difficult to account for patient
acuity changes post-discharge under the CJR model, we want to emphasize
that the CJR model episode actually begins on the day of admission for
the anchor hospitalization and extends 90 days post-hospital discharge,
with the day of hospital discharge counting as the first day in the 90-
day post-hospital discharge period. Thus, the episode includes the full
anchor hospital length-of-stay that may affect changes in patient
acuity in the post-discharge period. We note that according to this
episode duration definition, episodes for individual beneficiaries will
have a variable total length that depends on the length of the anchor
hospitalization. For example, the average length-of-stay for MS-DRG 470
is 3 days, so the average CJR model episode length for an individual
beneficiary would be 92 days. The average length-of-stay for MS-DRG 569
is 6 days, so the average CJR model episode length for an individual
beneficiary would be 95 days. Despite their variable total length, all
CJR model episodes will include the complete anchor hospitalization and
90 days post-hospital discharge and, therefore, will include all
related items and services furnished to the beneficiary throughout the
episode, including those provided to address beneficiary acuity changes
during the hospitalization and post-discharge period.
Summary of Final Decisions: After consideration of the public
comments we received, we are finalizing our proposal to end the episode
90 days after discharge from the anchor hospitalization. We are
revising the definition of Episode of care to clarify that the day of
discharge itself counts as the first day of the post-discharge period
and adding the same clarification to Sec. 510.210(a)
The final definitions policies for ending an episode are set forth
in Sec. 510.2 and
Sec. 510.210(a).
C. Methodology for Setting Episode Prices and Paying Model Participants
Under the CJR Model
1. Background
As described in section II.B. of the proposed rule, we proposed to
use the CJR episode payment model to incentivize participant hospitals
to work with other health care providers and suppliers to improve
quality of care for Medicare beneficiaries undergoing LEJR procedures
and post-operative recovery, while enhancing the efficiency with which
that care is provided. We proposed to apply this incentive by paying
participant hospitals or holding them responsible for repaying Medicare
based on their CJR episode quality and Medicare expenditure
performance. The following sections describe our final decisions for
the--
Performance years covered by the model, the retrospective
methodology that will be applied, and the application of two-sided risk
beginning in the second year of the model;
Adjustments that will be made to payments included in the
episode;
Episode price setting methodology;
Use of quality performance in the payment methodology;
Process for reconciliation;
Adjustments for overlaps with other CMMI models and CMS
programs;
Limits and adjustments on hospitals' financial
responsibility;
Appeal procedures for reconciliation;
Financial arrangements and beneficiary incentives; and
Waivers of Medicare program rules.
2. Performance Years, Retrospective Episode Payment, and Two-Sided Risk
Model
a. Performance Period
We proposed that the CJR model would have 5 performance years. The
performance years would align with calendar years, beginning January 1,
2016. Table 7 includes details on which episodes would be included in
each of the 5 performance years.
[[Page 73325]]
Table 7--Proposed Performance Years for CJR Model
------------------------------------------------------------------------
Episodes included in
Performance year Calendar year performance year
------------------------------------------------------------------------
1........................... 2016........... Episodes that start on or
after January 1, 2016,
and end on or before
December 31, 2016.
2........................... 2017........... Episodes that end between
January 1, 2017, and
December 31, 2017,
inclusive.
3........................... 2018........... Episodes that end between
January 1, 2018, and
December 31, 2018,
inclusive.
4........................... 2019........... Episodes that end between
January 1, 2019, and
December 31, 2019,
inclusive.
5........................... 2020........... Episodes that end between
January 1, 2020, and
December 31, 2020,
inclusive.
------------------------------------------------------------------------
Under our proposal, all episodes tested in this model would have
begun on or after January 1, 2016 and ended on or before December 31,
2020. We noted that this definition would result in performance year 1
being shorter than the later performance years in terms of the length
of time over which an anchor hospitalization could occur under the
model. We also noted that some episodes that began in a given calendar
year may be captured in the following performance year due to the
episodes ending after December 31st (for example, episode beginning in
December 2016 and ending in March 2017 would be part of performance
year 2). We stated our belief that 5 years would be sufficient time to
test the CJR model and gather sufficient data to evaluate whether it
improves the efficiency and quality of care for an LEJR episode of
care. Further, having fewer than 5 performance years may not provide
sufficient time or data for evaluation. The 5-year performance period
is consistent with the performance period used for other CMMI models
(for example, the Pioneer Accountable Care Organization (ACO) Model).
The following is a summary of the comments received and our
responses.
Comment: Several commenters supported our proposal for a 5-year
performance period as well as our proposed start date of January 1,
2016. However, a substantial number of commenters expressed concerns
over the proposed start date and requested that we delay implementation
of the model. Most of these commenters expressed concerns about the
ability of participants to successfully participate in the model, given
the proposed timeframes. Commenters noted that participants would need
additional time for activities such as developing a new infrastructure
with respect to provider networks, which would include identifying and
establishing contracts with collaborators as well as determining
appropriate incentives and gainsharing structures; identifying and
developing new care pathways and performance metrics; and developing as
well as modifying accounting and IT systems. In particular, a number of
commenters expressed concern with the proposed start date in light of
the requirement that hospitals begin to assume risk in the second year
of the model, which is discussed further later in this section.
Moreover, given variation in hospital preparedness, these kinds of
issues could be particularly acute for certain kinds of hospitals, for
example, smaller hospitals or those with more limited resources. Also,
as discussed in section III.E of this final rule, commenters noted that
their ability to implement the previously stated changes would be
impeded by not having received baseline and episode-level data from CMS
until after the proposed start date. Commenters indicated that these
data would be essential to identifying opportunities and strategies for
quality and efficiency improvement, and that the model should be
delayed until after they have had a chance to review and understand
their own episode data.
We also received comments suggesting that implementation of the
model is premature and that it should be delayed until certain actions
or events have occurred, for example, until certain quality measures
have been developed, data required under the Improving Medicare Post
Acute Care Transformation Act of 2014 (Pub. L. 113-185, enacted October
6, 2014) (IMPACT Act) have been collected or analyzed, or CMS has
considered the results of other bundled payment models such as BPCI.
For example, several commenters requested a phased implementation of
the CJR model, due to the limited evaluation results that have been
publicly released to date for BPCI, and to allow for testing and
monitoring of the CJR model prior to full implementation. Another
commenter asserted that a phased-in approach to implementing CJR is
appropriate, given that while episode-based payment models have shown
potential to reduce cost, rigorous studies and evaluation data on
episode-based payment models are limited. Some commenters expressed the
view that CMS' timeline ignores multiple competing mandates that
hospitals and other providers have, for example, ICD-10-CM
implementation as well as EHR Meaningful Use and other quality-related
programs.
In addition, we received a comment urging a delayed start date due
to concerns on how requirements with respect to the civil monetary
penalty (CMP) law (sections 1128A(a)(5), (b)(1) and (b)(2) of the Act),
the Federal Anti-kickback statute (section 1128B(b)(1) and (2) of the
Act), or the physician self-referral prohibition (section 1877 of the
Act) would apply under the model. For example, a commenter noted that
the proposed rule offered insufficient protection from certain
statutory and regulatory risks associated with developing coordinated
care arrangements among providers and that significant ambiguity and
challenges existed with respect to compliance with these requirements.
Commenters also stated that in contrast to our proposed start date
for the CJR model, CMS allowed voluntary BPCI participants, who were
more likely to be well positioned to participate in an episode-based
payment model, at least one year to consider their episode data, yet
many of them likely found the program and timing demands challenging.
Further, mandating the program, especially for unprepared participants,
could result in even greater challenges, and increase the chance of
failure and disruption of health care services for Medicare
beneficiaries.
Some commenters offered examples of how, in their view,
implementing the model by the proposed start date could result in
unintended consequences such as reduced access for beneficiaries or
lower care quality. For example, commenters suggested that the proposed
timeframe could cause hospitals to make care redesign choices that
reduced access for beneficiaries or certain kinds of beneficiaries such
as those who posed greater risk or that care quality could be
compromised because participants would have had insufficient time to
implement new care practices.
Given these concerns, commenters generally requested that we delay
the start date by a specific period of time, for example, by three
months, six months, nine months or a year, with most commenters
requesting a delay of nine months to a year. Some
[[Page 73326]]
commenters recommended delay periods of two years or more. In some
cases, commenters tied their proposed delay period to an event, for
example, some period of time subsequent to having received baseline and
episode-level data from CMS. Some commenters requested that only the
mandatory aspect of the model be delayed, allowing providers willing to
participate the opportunity to do so or, in the event of a delayed
start date, providers be permitted to voluntarily opt-in to the model
prior to the date of implementation. As such, providers who had begun
to prepare for the model could begin to generate cost savings while
driving improvements in quality and patient experience for LEJR
patients.
Response: We appreciate the comments we received in support of our
proposed performance period and start date. We also appreciate and are
persuaded by comments expressing concerns that our proposed start date
does not provide sufficient time for participants to implement the
kinds of changes needed to successfully participate in the model,
particularly given that baseline data would not be available until
after our proposed start date of January 1, 2016. Accordingly, this
final rule will delay the start date of the model to April 1, 2016.
Also, as indicated in section III.E.4 of this rule, we intend to make
participating hospitals' baseline data available upon request in
advance of the April 1, 2016 start date, which will allow participants
the opportunity to assess their baseline data as they consider changes
to their care practices in advance of the model's start date. Also, as
discussed in section III.C.8. of this final rule, we are reducing the
potential risk to participants in Year 2 by lowering the stop-loss
limit from 10 percent to 5 percent (and from 20 percent to 10 percent
in Year 3). We believe that these changes will both facilitate
participants' abilities to be successful under this model and allow for
a more gradual transition to full financial responsibility under the
model.
Table 8 includes details on which episodes would be included in
each of the 5 performance years under this delay.
Table 8--Performance Years for CJR Model
------------------------------------------------------------------------
Episodes included in
Performance year Calendar year performance year
------------------------------------------------------------------------
1........................... 2016........... Episodes that start on or
after April 1, 2016, and
end on or before
December 31, 2016.
2........................... 2017........... Episodes that end between
January 1, 2017, and
December 31, 2017,
inclusive.
3........................... 2018........... Episodes that end between
January 1, 2018, and
December 31, 2018,
inclusive.
4........................... 2019........... Episodes that end between
January 1, 2019, and
December 31, 2019,
inclusive.
5........................... 2020........... Episodes that end between
January 1, 2020, and
December 31, 2020,
inclusive.
------------------------------------------------------------------------
Under this revised schedule, all episodes tested in this model will
have begun on or after April 1, 2016 and ended on or before December
31, 2020. Additional discussion on how this revised performance year
schedule affects the use of quality measures for the model and the
timeline for the reconciliation process is included in sections
III.C.5. and III.C.6. of this final rule.
We do not agree that a longer delay is needed. Hospital
participants will not be financially responsible for repayment to
Medicare until the second performance year of the model. In addition,
as discussed in section III.C.8. of this final rule, we have further
limited financial risk to hospitals in performance years 2 and 3 by
lowering stop-loss limits; specifically, from 10 percent to 5 percent
in Year 2, and from 20 percent to 10 percent in Year 3. Finally, while
we note that commenters are correct that voluntary BPCI participants
received claims data prior to taking on risk under the BPCI model, and
in some cases had more than a year to prepare for participation in
BPCI, we believe that providing claims data to CJR participants in
early 2016 and beginning the model April 1, 2016 is appropriate for
several reasons. First, we note that under BPCI, voluntary participants
in Phase I had the option of receiving claims data for multiple
episodes, up to the 48 clinical episodes included in the BPCI
initiative. The CJR model will only include one type of episode, and as
such we believe it is reasonable for hospitals to begin to analyze data
and identify care patterns and opportunities for care redesign for this
episode in our stated implementation timeline. We also note that due to
the gradual implementation of downside risk, we expect that hospitals
would spend the first performance year of the model analyzing data,
identifying care pathways, forming clinical and financial relationships
with other providers and suppliers, and assessing opportunities for
savings under the model, utilizing the quarterly claims data we provide
to them. This is similar to the approach we took to allow hospitals to
participate in Phase I of BPCI prior to entering Phase II (the risk-
bearing phase). As noted in this section, participant hospitals would
also be eligible to receive reconciliation payments for performance
year 1 if actual spending is below the target price. We believe that
our implementation timeline is reasonable, given the financial
opportunity for hospitals to earn reconciliation payments for
performance year 1 and the gradual transition to financial
responsibility.
We are also not persuaded by commenters that implementation of the
model is premature or that it should be delayed until results for BPCI
or other episode-based payment models are available. While we
anticipate that the BPCI model will offer valuable information that
should assist CMS in developing bundling payment models, the CJR model
will offer additional insights that are not available under the BPCI
model; in particular, insights with respect to bundling payment models
on a mandatory rather than voluntary basis. Thus, we will be able to
observe how a bundling payment model might work with participants that
would otherwise not participate in such a model. As such, we expect the
results from this model should produce data that are more broadly
representative than what might be achieved under a voluntary model.
Also, this model tests a different target pricing approach than the one
used in BPCI. BPCI uses a purely participant-specific pricing approach,
rewarding participants for improving based on their historical
performance. While this may incentivize historically less efficient
participants to improve, there may not be as much incentive for already
efficient participants. The regional target pricing approach for this
model, though, would consider a participant hospital's performance
relative to its regional peers. As part of this test, we will learn
whether our alternative pricing approach in this model will better
incentivize participants who are already delivering high quality and
efficient care while
[[Page 73327]]
still incentivizing historically less efficient providers to improve.
We would not be able to test such a regional pricing approach under a
purely voluntary model because it is likely that only the already high
quality and efficient providers would sign up.
We would note that we have released final evaluation results from
the ACE demonstration, which determined that the demonstration led to
reduced episode spending with no adverse impact on quality of care.
Further, we note that the significant level of voluntary participation
in BPCI, as well as high participation in LEJR episodes in particular
in all BPCI models, signify the potential for financial opportunity for
both hospitals and CMS to achieve savings and improve quality of care
through an episode-based payment model targeting LEJR procedures. As
further evaluation results for BPCI and other models are available, we
will make such information available to the public, and if necessary,
could incorporate lessons learned into the CJR model. In addition, in
section III.F. of this final rule, we detail our plans to monitor care
to ensure beneficiaries' access to quality and timely health care is
maintained under the CJR model.
While we acknowledge the benefits of having more rigorous evidence
to support the success of episode-based payment models, we believe that
the aforementioned findings and encouraging preliminary evaluation data
from our prior and current bundled payment models and demonstrations
support our plan to more broadly test the model's effectiveness at this
time. Moreover, the mission of the Innovation Center is to test models
of care that reduce spending while maintaining or improving the quality
of care furnished to Medicare, Medicaid and CHIP beneficiaries. Testing
this model will provide additional information for CMS and providers on
successful payment structures and care redesign strategies.
We also disagree that the model should be delayed simply because
other similar efforts are currently ongoing. Rather, we would note that
it is not uncommon for CMS to test multiple similar models concurrently
rather than sequentially. For example, CMS currently has multiple
primary care-focused models in testing, the Comprehensive Primary Care
Initiative (CPCI) and the Multi-Payer Advanced Primary Care Practice
(MAPCP) models. In addition, CMS has a permanent ACO program (the
Medicare Shared Savings Program), as well as multiple other ACO models
in the testing phase. We believe our decision to test the CJR model at
this time is consistent with the approach taken for other models and
programs to test payment models that may be similar in design but are
targeted at different groups of providers. Such an approach provides
CMS with additional information on the potential success of various
model and program aspects and design features.
Likewise, we do not agree that the model should be delayed until
certain other actions have occurred (for example, after additional
quality measures have been developed or data required under the IMPACT
Act have been analyzed) or because of the multiple competing mandates
faced by hospitals and other providers. Since the Medicare program's
inception, providers have and will continue to contend with constantly
evolving statutory and administrative requirements that often require
them to make concurrent changes in their practices and procedures. We
do not believe the CJR model is dissimilar to those requirements.
As stated previously, some commenters urged a delayed start date
due to concerns on how requirements with respect to the CMP law
(sections 1128A(a)(5), (b)(1) and (b)(2) of the Act), the Federal Anti-
kickback statute (section 1128B(b)(1) and (2) of the Act), or the
physician self-referral prohibition (section 1877 of the Act) would
apply under the model. In response, we would note that for programmatic
reasons discussed elsewhere in this final rule and to give providers
additional time to ensure compliance with applicable laws, we are
delaying the start date of the model to April 1, 2016.
Also as discussed earlier in this section, some commenters pointed
to the potential for unintended consequences that could result from our
proposed start date, including impediments to beneficiary access and
reduced quality of care. As discussed in section III.D of this final
rule, we are including quality measures for purposes of evaluating
hospitals' performance both individually and in aggregate across the
model. Also, as discussed in section III.F of this final rule, we are
making final policies and actions to monitor both care access and
quality. We believe these features will help ensure that beneficiary
access to high quality care is not compromised under the model.
Final Decision: We are modifying our proposed policy on the model
performance years and establishing April 1, 2016 as the start date for
the model. Accordingly, we are replacing ``January 1, 2016'' in Sec.
510.200(a) with ``April 1, 2016.''
b. Retrospective Payment Methodology
As described in section III.B. of the proposed rule, we proposed
that an episode in the CJR model begins with the admission for an
anchor hospitalization and ends 90 days post-discharge from the anchor
hospitalization, including all related services covered under Medicare
Parts A and B during this timeframe, with limited exclusions and
adjustments, as described in sections III.B., III.C.3., and III.C.7. of
the proposed rule. The episodes would be attributed to the participant
hospital where the anchor hospitalization occurred.
We proposed to apply the CJR episode payment methodology
retrospectively. Under this proposal, all providers and suppliers
caring for Medicare beneficiaries in CJR episodes would continue to
bill and be paid as usual under the applicable Medicare payment system.
After the completion of a CJR performance year, Medicare claims for
services furnished to beneficiaries in that year that were included in
the model would be grouped into episodes and aggregated, and
participant hospitals' CJR episode quality and actual payment
performance would be assessed and compared against episode quality
thresholds and target prices, as described in sections III.C.5. and
III.C.4. of the proposed rule, respectively. After the participant
hospitals' actual episode performance in quality and spending are
compared against the previous episode quality thresholds and target
prices, we would determine if Medicare would make a payment to the
hospital (reconciliation payment), or if the hospital owes money to
Medicare (resulting in Medicare repayment). The possibility for
hospitals to receive reconciliation payments or be subject to repayment
(note: participant hospitals would not be subject to repayment for
performance year 1) was further discussed in section III.C.2.c. of the
proposed rule.
We considered an alternative option of paying for episodes
prospectively by paying one lump sum amount to the hospital for the
expected costs of the 90-day episode. However, we believed such an
option would be challenging to implement at this time given the payment
infrastructure changes for both hospitals and Medicare that would need
to be developed to pay and manage prospective CJR episode payments. We
noted that a retrospective episode payment approach is currently being
utilized under BPCI Model 2. Also, we expressed our belief that a
retrospective payment approach can accomplish the objective of testing
episode payment in
[[Page 73328]]
a broad group of hospitals, including financial incentives to
streamline care delivery around that episode, without requiring core
billing and payment changes by providers and suppliers, which would
create substantial administrative burden. However, we sought comment on
potential ways to implement a prospective payment approach for CJR in
future performance years of the model.
The following is a summary of the comments received and our
responses.
Comment: Commenters submitted mixed responses on our proposed
retrospective payment methodology. Many comments we received expressed
support for our proposed retrospective model. Some of these commenters
indicated that, since it would build upon existing payment system
infrastructures and processes, a retrospective model would be most
administratively feasible and straightforward as well as involve fewer
infrastructure changes and logistical challenges than would be required
under a prospective model. A commenter noted that a retrospective model
would allow providers to gain experience with a bundling payment model
without altering existing revenue cycle practices. Further, the
availability of fee-for-service payments under a retrospective model
would maintain a predictable cash flow for participants in the model.
Some commenters expressed support for the proposed retrospective
methodology provided that certain conditions existed. For example, a
commenter expressed support for this methodology provided that payment
reconciliation could be available on a quarterly basis. Another
commenter supported the retrospective methodology provided that
beneficiaries had access to any provider they chose and were not
limited to those with whom a hospital had a contractual arrangement.
Response: We appreciate the comments we received that were in
support of our proposed retrospective payment methodology, and concur
with commenters' views on some of the benefits of this model. As
discussed further in section III.C.6. of this final rule, we are making
final our proposed reconciliation on an annual basis. Also, as further
discussed in section III.F.2. of this final rule, because hospitals in
selected geographic areas will be required to participate in the model,
individual beneficiaries will not be able to opt out of the CJR model.
However, the payment model does not limit a beneficiary's ability to
choose among Medicare providers and suppliers or the range of services
that are available to them. Beneficiaries may continue to choose any
Medicare enrolled provider or supplier, or any physician or
practitioner who has opted out of Medicare, with the same costs,
copayments and responsibilities as they have with other Medicare
services. Also, although the proposed model would allow participant
hospitals to enter into sharing arrangements with certain providers and
suppliers and these preferred providers and suppliers may be
recommended to beneficiaries as long as those recommendations are made
within the constraints of current law, hospitals may not restrict
beneficiaries to any list of preferred or recommended providers and
suppliers that surpass any restrictions that already exist under
current statutes and regulations.
Comment: In addition to the many commenters supporting our proposed
retrospective methodology, we received many other comments that opposed
our proposal and expressed support for some type of prospective payment
model. Some commenters expressed the view that our proposed model was
complex, complicated by variation in payment policies across Medicare
FFS payment models, and needed further refinement. Others stated that
as compared to a prospective payment model, a retrospective model is
less effective at holding providers accountable or in stimulating the
kinds of behavior changes that are needed to achieve the goals of the
program. For example, because providers are expected to change their
behavior in anticipation of a reward that might occur several months
later, the model diminishes the incentive for providers to change their
behavior. Moreover, bonuses and penalties are not sufficiently
correlated with performance. Further, a retrospective model could limit
the availability of resources for providers to invest in the changes
needed to support and sustain behavior change and high-quality care.
Some of the criticisms we received focused on the potential effects
of a retrospective model on beneficiaries' costs. For example, some
commenters expressed concerns on whether beneficiaries would or even
could see cost-sharing reductions when a provider achieves savings
under a retrospective model. Another comment suggested that as compared
to a prospective model, payments under a retrospective model are more
difficult to be incorporated into tools designed to help consumers shop
for facilities and providers and reduced pricing predictability for the
consumer.
In light of these concerns, many commenters proposed that CMS adopt
or eventually transition to some kind of prospective payment model or
hybrid model. Commenters suggested that doing so would improve
accountability for costs and quality, strengthen risk/reward
relationships, better support efforts to transition away from FFS,
encourage providers to adhere to evidence-based clinical guidelines,
reduce unnecessary or duplicative care, and help participants invest
early in supportive resources, such as health information technology,
care coordination tools, and infrastructure development to support
accountability for quality and costs. A commenter offered the view that
information technology solutions are now available that support
prospective payment models with minimal burden and disruption to
hospitals--concerns that have discouraged the adoption of prospective
models.
Some examples of prospective models that were suggested would be
for CMS to--
Establish an extended DRG that includes hospital,
physician, and PAC services for some period of time (for example, 30,
60, 90 days);
Make a prospective payment to hospitals that are then
distributed to their partners based on volume, acuity, quality, and
efficiency;
Withhold some percentage of the total payment that would
be intended for downstream partners. Hospitals would subsequently
distribute these payments to partners based on their ability to meet
quality and efficiency targets;
Move toward a prospectively negotiated case rate to foster
collaboration among all clinicians involved in patient care and provide
predictable pricing. For example, give facilities a financial incentive
to assume the greater risk and uncertainty inherent in a prospective
bundle by reducing or eliminating the two percent discount from the
payment benchmark or narrowing the definition of ``related care'' in
the 90-day post-discharge; and
Allow physicians to lead a team where the participating
physician and their patient decide which other providers and suppliers
would be involved in and what the treatment plan would be for the
episode. The team would designate or create a jointly governed
management organization that would be paid through new prospective
episode codes. Other providers, including the hospital, could be paid
by that same organization or through existing Medicare payment systems.
Medicare would pay a single bundled
[[Page 73329]]
payment amount to cover the costs of all of the services in that
episode. The hospital and other providers and suppliers on the team
could be paid either through the management organization or through
traditional Medicare payment systems, but only by one of these sources.
Amounts paid through traditional payment systems would be deducted from
the amount paid to the management organization.
In addition to comments supporting a prospective payment model, we
received comments explicitly expressing concern about adopting such a
model. For example, a commenter expressed the view that non-hospital
providers and suppliers, including physicians and PAC providers, would
likely be concerned with a policy that would allow hospitals complete
authority to allocate payments among participating providers and
suppliers or to be empowered with functions and authorities typically
associated with Medicare Administrative Contractors (MACs). Moreover, a
prospective payment methodology would exacerbate anti-competitive
concerns with respect to the proposed model in general.
Response: We appreciate the comments we received in opposition to
our proposed retrospective model. While we believe that our proposed
retrospective payment model would be effective in encouraging providers
to improve care quality while better controlling the costs of the care,
we also share commenters' optimism on the potential benefits and
effectiveness of prospective models with respect to improving
accountability for costs and quality, strengthening risk/reward
relationships, better supporting efforts to transition away from FFS,
and encouraging providers to adhere to evidence-based clinical
guidelines while reducing unnecessary or duplicative care. We also are
pleased that information technology solutions are being developed to
support prospective payment models.
We agree with commenters that there are complexities and potential
complications associated with a retrospective model and anticipate that
further refinements will likely be needed with whatever kind of
bundling model that is implemented. Therefore, we do not believe that
the complexities and potential complications with our proposed model
are significantly different than what occurs with other Medicare
payment models, particularly any of the more novel ones. Likewise, we
do not believe that such complexities or complications would be
mitigated simply by adopting a prospective model. Moreover, both CMS
and some of the commenters have noted that adoption of a prospective
model could result in potentially significant complexities and
logistical issues as well.
We also do not agree with the view suggesting that adoption of a
retrospective model could limit the availability of resources for
providers to invest in the changes needed to improve care quality and
costs. Under our retrospective model, participant hospitals and other
providers and suppliers will continue to bill and be paid under FFS
Medicare as they would in the absence of the model that should result
in a revenue stream comparable to what they would be absent the model,
all else equal.
While we agree with the comment stating that beneficiaries will not
see a reduction in their cost-sharing for joint replacement services
under this model, we do not see this as being unique to the CJR model
or a reason to not test it. To the contrary, if successful, our model
will improve the quality of care and outcomes for these beneficiaries
as well as better control costs of care. For example, if successful, we
believe the model could help to limit or mitigate avoidable costs
incurred by these beneficiaries such as costs associated with avoidable
hospital readmissions. Last, we also do not see the potential
challenges of integrating a retrospective payment methodology into
sites designed to compare health care options as a reason to not test
our proposed model or as being an insurmountable problem.
Based on the comments that we received, we believe there is support
for both prospective and retrospective payment models. We also continue
to believe that a retrospective payment model can accomplish the
objective of testing episode payments with a broad group of hospitals,
by including financial incentives that will streamline care delivery
while producing less administrative burden for providers than would be
possible with a prospective model. Accordingly, we will be implementing
a retrospective payment model at this time as we had proposed. We
appreciate the various examples of prospective models that commenters
suggested for CMS' consideration, and will consider these examples
along with other options to potentially be tested in the future.
Final Decision: After considering the public comments we received,
we are finalizing our proposal to implement a retrospective payment
model.
c. Two-Sided Risk Model
We proposed to establish a two-sided risk model for hospitals
participating in the CJR model. We proposed to provide episode
reconciliation payments to hospitals that meet or exceed quality
performance thresholds and achieve cost efficiencies relative to CJR
target prices established for them, as was defined later in sections
III.C.4. and III.C.5. of the proposed rule. Similarly, we proposed to
hold hospitals responsible for repaying Medicare when actual episode
payments exceed their CJR target prices in each of performance years 2
through 5, subject to certain proposed limitations discussed in section
III.C.8. of the proposed rule. Target prices would be established for
each participant hospital for each performance year.
We proposed that hospitals will be eligible to receive
reconciliation payments from Medicare based on their quality and actual
episode spending performance under the CJR model in each of CJR
performance years 1 through 5. Additionally, we proposed to phase in
the responsibility for hospital repayment of episode actual spending if
episode actual spending exceeds their target price starting in
performance year 2 and continuing through performance year 5. Under
this proposal in performance year 1, participant hospitals would not be
required to pay Medicare back if episode actual spending is greater
than the target price.
We considered an episode payment structure in which, for all 5
performance years of the model, participant hospitals would qualify for
reconciliation payments if episode actual spending was less than the
episode target price, but would not be required to make repayments to
Medicare if episode actual spending was greater than the episode target
price. However, we noted our belief that not holding hospitals
responsible for repaying excess episode spending would reduce the
incentives for hospitals to improve quality and efficiency. We also
considered starting the CJR payment model with hospital responsibility
for repaying excess episode spending in performance year 1 to more
strongly align participant hospital incentives with care quality and
efficiency. However, we stated our view that hospitals may need to make
infrastructure, care coordination and delivery, and financial
preparations for the CJR episode model, and that those changes can take
several months or longer to implement. With this consideration in mind,
we proposed to begin hospitals' responsibility for repayment of excess
episode spending
[[Page 73330]]
beginning in performance year 2 to afford hospitals time to prepare,
while still beginning some incentives earlier (that is, reconciliation
payments in year 1) to improve quality and efficiency of care for
Medicare beneficiaries. We solicited comment on the proposed incentive
structure for CJR.
In an effort to further ensure hospital readiness to assume
responsibility for circumstances that could lead to a hospital repaying
to Medicare actual episode payments that exceed the episode target
price, we proposed to begin to phase in this responsibility for
performance year 2, with full responsibility for excess episode
spending (as proposed in the proposed rule) applied for performance
year 3 through performance year 5. To carry out this ``phase in''
approach, we proposed during the first year of any hospital financial
responsibility for repayment (performance year 2) to set an episode
target price that partly mitigates the amount that hospitals would be
required to repay (see section III.C.4.b. of the proposed rule), as
well as more greatly limits (as compared to performance years 3 through
5) the maximum amount a hospital would be required to repay Medicare
across all of its episodes (see section III.C.8. of the proposed rule).
Comment: Several commenters expressed support for our proposal to
establish downside risk for participants as well as our proposal to
gradually phase-in risk beginning in year 2. We received very few
comments requesting the elimination of risk from the model. A commenter
suggested that it was unfair to require hospitals to bear risk given
that there were no limitations on beneficiary choices. Also, some
commenters suggested that CMS consider excluding specific kinds of
hospitals from the model, for example small hospitals or hospitals with
low volume.
Most of the comments we received, however, requested that CMS ease
the glide path to downside risk by either delaying the requirement for
two to three years or by incorporating features to better limit risk,
for example, by adjusting stop-loss caps. Some commenters requested
that we modify the CJR model to be more like a shared savings model as
is used in Shared Savings Program or the Pioneer ACO model. In their
view, this option would be particularly attractive to smaller
organizations with lower episode volumes that face a higher risk of
random episode cost variation or those with limited financial
resources.
Some commenters requested these changes because of concerns that
hospitals have little or no experience bearing risk and thus need
additional time to be ready to do so. Other commenters stated that our
proposed timeframe for implementing the model and requiring hospitals
to assume risk was simply too aggressive and offered too little time
for hospitals to put in place the care procedures and infrastructure
needed to be successful in the model and in a position to bear risk. In
recommending that CMS delay downside risk, a commenter observed that
payment features of other Medicare efforts such as BPCI and the Pioneer
ACO model have been refined more than once since their implementation,
which suggested that more can be learned about the appropriate
framework for a risk model, particularly given that the CJR model is
untested.
Response: We appreciate the comments we received in support of our
proposal to phase-in downside risk to CJR participants beginning in
Year 2 of the model. We are also encouraged that very few commenters
opposed a requirement for participants to assume downside risk at some
point in the model.
We disagree with the view that it is unfair to require hospitals to
bear risk while beneficiaries retain the ability to choose among
providers. As is the case with other new payment models such as the
Shared Savings Program, the CJR model is intended to identify ways to
improve care quality and better control costs in the Medicare FFS
program. While Medicare beneficiaries may choose between Medicare FFS
and Medicare Advantage, the majority of beneficiaries--roughly two-
thirds in 2015--continue to choose the former. Accordingly, it is in
the interest of the Medicare program and its beneficiaries for CMS to
identify new models that both maintain beneficiary choice while
improving care quality and costs. Also, while we appreciate suggestions
to exclude certain kinds of hospitals, for example, small hospitals or
hospitals with a low-volume of cases, we believe our methodology for
selecting geographic units, as discussed in section III.A.4.of this
final rule, as well as additional protections for certain kinds of
these hospitals, as discussed in section III.C.8.c. of this final rule
sufficiently address these concerns.
We also understand that commenters would like a more gradual
transition to downside risk, and in response to the commenters'
concerns, CMS has taken steps for hospitals to do so. As discussed in
section III.C.8. of this final rule, we are reducing the potential risk
to participants in Year 2 by lowering the stop-loss limit from 10
percent to 5 percent (and from 20 percent to 10 percent in Year 3). We
believe these actions should assist participants both with respect to
preparing for the assumption of risk as well as reducing the level of
risk they must initially bear. We do not support the proposal to change
the CJR model to a shared savings model as it is inconsistent with our
intent of testing whether a bundled payments model will promote quality
and financial accountability for episodes of care surrounding an LEJR
or reattachment of a lower extremity procedure. Last, we recognize that
our model, as would any model or program, will evolve and may require
some adjustments over time. To the extent that this occurs with the CJR
model, we would make adjustments that were deemed necessary, as we
would do with any of these other models and programs; however, we do
not believe the potential for model adjustments is a reason to delay
the requirement for hospitals to bear risk in the absence of data
suggesting that a problem actually exists.
Final Decision: After considering the public comments we received,
we are finalizing our proposal to phase-in risk beginning in Year 2 of
the model.
3. Adjustments to Payments Included in Episode
We proposed to calculate the actual episode payment amount by
summing together Medicare payments for each non-cancelled CJR episode
during the model's performance year for Parts A and B claims for
services included in the episode definition, as discussed in section
III.B. of this final rule. We proposed three adjustments to this
general approach for--(1) Special payment provisions under existing
Medicare payment systems; (2) payment for services that straddle the
end of the episode; and (3) high payment episodes. We noted there would
be further adjustments to account for overlaps with other Innovation
Center models and CMS programs; we refer readers to section III.C.7. of
the proposed rule.
We did not propose to adjust hospital-specific or regional
components of target prices for any Medicare repayment or
reconciliation payments made under the CJR model; CJR repayment and
reconciliation payments would be not be included per the episode
definition in section III.B. of this final rule. We stated in the
proposed rule our belief that including reconciliation payments and
Medicare repayments in target price calculations would perpetuate the
initial set of target prices once CJR performance years are captured in
the 3-historical-years of data used to set target
[[Page 73331]]
prices, as described in section III.C.4. of this final rule, beginning
with performance year 3 when performance year 1 would be part of the 3-
historical-years. Including any prior performance years'
reconciliations or repayments in target price calculations would
approximately have the effect of Medicare paying hospitals the target
price, regardless of whether the hospital went below, above, or met the
target price in the prior performance years before accounting for the
reconciliation payments or repayments. We stated in the proposed rule
our intent for target prices to be based on historical patterns of
service actually provided, so we did not propose to include
reconciliation payments or repayments for prior performance years in
target price calculations.
a. Treatment of Special Payment Provisions Under Existing Medicare
Payment Systems
Many of the existing Medicare payment systems have special payment
provisions that have been created by regulation or statute to improve
quality and efficiency in service delivery. IPPS hospitals are subject
to incentives under the HRRP, the Hospital Value-Based Purchasing
(HVBP) Program, the Hospital-Acquired Condition (HAC) Reduction
Program, and the Hospital Inpatient Quality Reporting Program (HIQR)
and Outpatient Quality Reporting Program (OQR). IPPS hospitals and CAHs
are subject to the Medicare EHR Incentive Program. Additionally, the
majority of IPPS hospitals receive additional payments for Medicare
Disproportionate Share Hospital (DSH) and Uncompensated Care, and IPPS
teaching hospitals can receive additional payments for Indirect Medical
Education (IME). IPPS hospitals that meet a certain requirements
related to low volume Medicare discharges and distance from another
hospital receive a low volume add-on payment. As previously stated in
section III.B.2.b. of this final rule, acute care hospitals may receive
new technology add-on payments to support specific new technologies or
services that substantially improve the diagnosis or treatment of
Medicare beneficiaries and would be inadequately paid otherwise under
the MS-DRG system. Also, some IPPS hospitals qualify to be sole
community hospitals (SCHs) or MDHs, and they may receive enhanced
payments based on cost-based hospital-specific rates for services;
whether a SCH or MDH receives enhanced payments may vary year to year,
in accordance with Sec. 419.43(g) and Sec. 412.108(g), respectively.
Medicare payments to providers of PAC services, including IRFs,
SNFs, IPFs, HHAs, LTCHs, and hospice facilities, are conditioned, in
part, on whether the provider satisfactorily reports certain specified
data to CMS: The Inpatient Rehabilitation Facility Quality Reporting
Program (IRF QRP), the Skilled Nursing Facility Quality Reporting
Program (SNF QRP), the Inpatient Psychiatric Facility Quality Reporting
Program (IPF QRP), the Home Health Quality Reporting Program (HH QRP),
the Long-Term Care Hospital Quality Reporting Program (LTCH QRP), and
the Hospice Quality Reporting Program. Additionally, IRFs located in
rural areas receive rural add-on payments, IRFs serving higher
proportions of low-income beneficiaries receive increased payments
according to their low-income percentage (LIP), and IRFs with teaching
programs receive increased payments to reflect their teaching status.
SNFs receive higher payments for treating beneficiaries with human
immunodeficiency virus (HIV). HHAs located in rural areas also receive
rural add-on payments.
ASCs have their own Quality Reporting Program (ASC QRP). Physicians
also have a set of special payment provisions based on quality and
reporting: The Medicare EHR Incentive Program for Eligible
Professionals, the Physician Quality Reporting System (PQRS), and the
Physician Value-based Modifier Program.
In the proposed rule we stated our intent with the CJR model is not
to replace the various existing incentive programs or add-on payments,
but instead to test further episode payment incentives towards
improvements in quality and efficiency beyond Medicare's existing
policies. Therefore, we proposed that the hospital performance and
potential reconciliation payment or Medicare repayment be independent
of, and not affect, these other special payment provisions.
We proposed to exclude the special payment provisions as discussed
previously when calculating actual episode payments, setting episode
target prices, comparing actual episode payments with target prices,
and determining whether a reconciliation payment should be made to the
hospital or funds should be repaid by the hospital.
Not excluding these special payment provisions would create
incentives that are not aligned with the intent of the CJR model. Not
excluding the quality and reporting-related special payment provisions
could create situations where a high-quality or reporting compliant
hospital or both receiving incentive payments, or those hospitals that
discharge patients to PAC providers that receive incentives for being
reporting compliant, may appear to be ``high episode payment'' under
CJR. Conversely, lower quality or hospitals not complying with
reporting programs or both that incur payment reduction penalties, or
hospitals that discharge to PAC providers that are not reporting
compliant, may appear to be ``low episode payment'' under CJR. Such
outcomes would run counter to CJR's goal of improving quality. Also,
not excluding add-on payments for serving more indigent patients,
having low Medicare hospital volume, being located in a rural area,
supporting greater levels of provider training, choosing to use new
technologies, and having a greater proportion of CJR beneficiaries with
HIV from CJR actual episode payment calculations may inappropriately
result in hospitals having worse episode payment performance.
Additionally, not excluding enhanced payments for MDHs and SCHs may
result in higher or lower target prices just because these hospitals
received their enhanced payments in one historical year but not the
other, regardless of actual utilization. In the proposed rule we stated
our belief that excluding special payment provisions would ensure a
participant hospital's actual episode payment performance is not
artificially improved or worsened because of payment reduction
penalties or incentives or enhanced or add-on payments, the effects of
which we are not intending to test with CJR.
In addition to the various incentive, enhanced and add on payments,
sequestration came into effect for Medicare payments for discharges on
or after April 1, 2013, per the Budget Control Act of 2011 and delayed
by the American Taxpayer Relief Act of 2012. Sequestration applies a 2
percent reduction to Medicare payment for most Medicare FFS services.
In order to operationalize the exclusion of the various special
payment provisions in calculating episode expenditures, we proposed to
apply the CMS Price (Payment) Standardization Detailed Methodology
described on the QualityNet Web site at https://www.qualitynet.org/dcs/ContentServer?c=Page&pagename=QnetPublic%2FPage%2FQnetTier4&cid=1228772057350. This pricing standardization approach is the same as used for
the HVBP program's Medicare spending per beneficiary metric.
We sought comment on this proposed approach to treating special
payment
[[Page 73332]]
provisions in the various Medicare payment systems.
Comment: Several commenters supported the exclusion of the various
special payment provisions in calculating episode expenditures. They
agreed that doing so would help isolate the effect of utilization and
quality of delivered care differences and remove any distortions due to
Medicare payment policies outside the control of providers.
A few commenters expressed concern about how hospitals would be
paid the special payment adjustments that are removed in calculating
episode expenditures. A commenter inquired whether CMS would account
for vendor rebates for hip and knee implants and medical devices,
because rebates are not uncommon and can impact the cost of an LEJR
procedure to a hospital.
Response: We appreciate commenters' support to exclude the various
special payment provisions in calculating episode expenditures.
As discussed in section III.C.2.b. of this final rule, we are
finalizing our proposal such that all providers and suppliers caring
for Medicare beneficiaries in CJR episodes will continue to bill and be
paid as usual under the applicable Medicare payment system, and
determination of any reconciliation payments or repayments to Medicare
will be made retrospectively after the end of each performance year.
Therefore, special payment adjustments will continue to be paid as
usual under the applicable Medicare payment systems, but their effects
will be excluded when reconciliation payment and repayment to Medicare
determinations are made retrospectively. This final rule will not
affect how hospitals are currently paid special payment adjustments.
Payments for hip and knee implants and medical devices will also
continue as usual under the applicable Medicare payment systems. For
inpatient admissions paid under IPPS, in particular, implants and
medical devices not categorized as new technology add-on payment would
be included in the MS-DRG payment and would not be reimbursed
separately. To mirror the IPPS approach, we will not separately account
for vendor rebates in the LEJR episode.
We note that as previously stated, we plan to utilize the CMS Price
(Payment) Standardization approach in order to remove the effects of
special payment provisions from calculations of historical and
performance period episode spending. We will follow the methodology,
with modifications as necessary to be consistent with our episode
definition in section III.B. of this final rule and to ensure timely
reporting of reconciliation results, for the performance year
reconciliations, which begin 2 months after the conclusion of a
performance year. We will account for the information available at the
time due to claims runout, payment system updates, and the calculations
necessary to fully implement the standardization methodology. We will
utilize the methodology, consistent with our episode definition, for
the target price calculations and subsequent reconciliation
calculations 14 months after the conclusion of the performance year, in
which we incorporate full claims runout and further account for overlap
with other models. This approach will provide feedback and
reconciliation payments, as available, to hospitals in a timely manner
and as accurately as feasible, while ensuring the standardization
approach is utilized for the subsequent calculation, which represents
the final calculation for a given performance period.
Comment: Many commenters requested that CJR reconciliation payments
made to participant hospitals be included when updating the set of 3-
historical-years used for calculating CJR episode target prices. They
stated that the participant hospitals would be providing care
coordination services that may not be directly reimbursed under
applicable Medicare FFS payment systems. These services would then,
instead, be funded by reconciliation payments. While historical
Medicare FFS claim payments would account for hospitals' costs for
providing services reimbursed under Medicare FFS, they would not
account for hospitals' costs for care coordination services not
reimbursed under Medicare FFS. Commenters contended that if we do not
include reconciliation payments when calculating target prices using
the updated set of historical years, we may underestimate hospital
costs and target prices.
Response: We agree that participant hospitals may undertake
activities that promote care coordination and improved quality of care
but are not directly reimbursed under applicable Medicare FFS payment
systems. We appreciate commenters' suggestions to include
reconciliation payments when updating the set of historical years used
to calculate target prices. We also believe this logic could be
extended to include repayments to Medicare to mirror the inclusion of
reconciliation payments. However, in the proposed rule we did not
propose an alternative to include reconciliation payments and
repayments when updating the set of historical years used to calculate
target prices, and because the first time this policy would take effect
would be for performance year 3 (2018), we may revisit this policy in
future rulemaking and allow for public comment on the aforementioned
alternative. At this time we are not modifying our proposal to exclude
CJR reconciliation payments and repayments to Medicare when updating
the set of historical years used to set target prices.
Comment: A few commenters inquired whether claims from non-
participating physicians or payments to physicians who have opted out
of Medicare would be included for purposes of setting target prices and
calculating actual episode spending for reconciliation and repayment
amount calculations. Commenters contended that if claims from non-
participating providers or payments to physicians who have opted out of
Medicare are not included, target prices and actual episode spending
may be underestimated.
Response: With the exception of those physicians and practitioners
who have complied with our opt-out procedures (see 42 CFR 405.400
through 405.455), when a physician or supplier furnishes a service that
is covered by Medicare, the physician or supplier is subject to the
mandatory claim submission provisions of section 1848(g)(4) of the
Social Security Act (the Act). Therefore, if a physician or supplier
charges or attempts to charge a beneficiary for a service that is
covered by Medicare, then the physician or supplier must submit a claim
to Medicare. As a result, claims from both participating and non-
participating physicians would be included in our target price and
actual episode spending calculations.
Opt-out physicians are prohibited from billing and receiving
payment (either directly or indirectly) from Medicare except for
emergency and urgent care services provided the physician has not
previously entered into a private contract with the beneficiary.
Therefore, we agree that payments for services furnished by physicians
who have opted out of Medicare would not be included in target price
and actual episode expenditure calculations. However, we estimate only
a small portion of physicians furnishing services to beneficiaries
captured in the CJR model will have opted out of Medicare, and we
estimate that physician services comprise less than 15 percent of the
average CJR episode expenditure, and therefore we believe the impact of
not capturing expenditures from physicians
[[Page 73333]]
who have opted out of Medicare will be small.
Additionally, there may be some participant hospitals with a
disproportionately higher share of episodes for which services were
furnished by physicians who have opted out of Medicare. Such
participant hospitals would experience lower actual episode
expenditures because payments for physicians who have opted out of
Medicare would not be included. These hospitals' lower actual episode
expenditures would be balanced by lower target prices because the
payments for physicians who have opted out of Medicare would also be
excluded in the historical episode expenditures, though this argument
is primarily relevant in the early years of the CJR model before we
move to 100 percent regional pricing as discussed in section
III.C.4.b.(5) of this final rule. In the later years of this model,
participant hospitals with disproportionately greater share of episodes
for which services were furnished by Medicare opt-out physicians may
unfairly benefit from regional target prices that are primarily based
on the inclusion of expenditures for physician services. However, we
believe this advantage to be small because physician expenditures
comprise only a small portion of the average episode, and we expect
very few physicians to opt out of Medicare.
Comment: A commenter inquired whether CMS would include IPPS
capital payments in calculating target prices and actual episode
expenditures, and if CMS' plan was to include them, they requested that
such payments be excluded. The commenter stated that capital payments
may vary by hospitals, and excluding capital payments would be
consistent with the pricing standardization approach we proposed to
reduce variations due to Medicare payment policies. The commenter also
noted that excluding capital payments would be consistent with the
approach taken in BPCI.
Response: In response to comments, we clarify that we will include
IPPS capital payments in target price and actual episode expenditure
calculations. IPPS capital payments are included in Medicare FFS
payments, which we proposed to use to calculate target prices and
actual episode expenditures. Consistent with our proposed treatment of
special payment provisions, we do not intend to distort incentives
based on IPPS capital payments that may vary across hospitals due to
Medicare payment policies, as opposed to practice pattern and quality
differences. By using the claims standardization approach previously
described in this section, though, we will be able to remove the effect
of variations due to Medicare payment policies (including wage index
differences). We recognize that this approach of including IPPS capital
payments would be different than the approach taken in BPCI. However,
we note that other Medicare FFS payment systems, such as those for SNF
and IRF, also are intended to cover providers' capital costs. Carving
out the capital portion for IPPS payments would not be consistent with
the inclusion of the capital portion for other Medicare FFS payment
systems. Lastly, including IPPS capital payments affords participant
hospitals an opportunity to achieve greater reconciliation payments if
they are able to achieve efficiencies for the costs that the capital
portion of IPPS payments would cover, which may or may not actually be
capital costs.
Comment: Several commenters expressed concern about the regions
that were selected for both the CJR model and the proposed HHVBP model.
Response: We refer readers to comments and responses to comments in
section III.A.3 of this final rule for further discussion on the
inclusion of regions selected for both the CJR model and the proposed
HHVBP model, and we reference it here because the proposed HHVBP model
would be another special payment provision that could affect Medicare
payment amounts. We reemphasize that the intent of the CJR model is not
to replace the various existing incentive programs or add on payments,
and the claims standardization approach previously described in this
section will remove the effect of any special payment provision,
whether they currently exist or may be introduced in the future.
Therefore, we do not believe any special payment provisions due to the
proposed HHVBP model or other potential future special payment
provisions to have an impact on the payments included in the CJR model
target price and reconciliation calculations.
Comment: A commenter requested clarification on how the CJR model
would interact with Medicare beneficiaries who have exhausted their
benefits, and recommended that we modify Medicare beneficiaries'
benefits so as to not allow their benefits to be exhausted while part
of a CJR episode.
Response: We appreciate the commenter's suggestion. However, we did
not propose any changes to Medicare beneficiaries' benefits, and we
will not finalize any such changes in this final rule.
Final Decision: We are finalizing our proposal, without
modification, to exclude special payment provisions from episode
calculations. We clarify that we will include IPPS capital payments in
target price and actual episode expenditure calculations. We also
clarify that we will utilize the CMS Price Standardization approach
previously referenced to remove the effect of any current and potential
future special payment provisions. We may revisit in future rulemaking
any modification to our policy to exclude reconciliation and recoupment
payments when updating the historical data used to set target prices.
b. Treatment of Payment for Services That Extend Beyond the Episode
As we proposed a fixed 90-day post-discharge episode as discussed
in section III.B. of the proposed rule, we stated our belief that there
would be some instances where a service included in the episode begins
during the episode but concludes after the end of the episode and for
which Medicare makes a single payment under an existing payment system.
An example would be a beneficiary in a CJR episode who is admitted to a
SNF for 15 days, beginning on Day 86 post-discharge from the anchor CJR
hospitalization. The first 5 days of the admission would fall within
the episode, while the subsequent 10 days would fall outside of the
episode.
We proposed that, to the extent that a Medicare payment for
included episode services spans a period of care that extends beyond
the episode, these payments would be prorated so that only the portion
attributable to care during the episode is attributed to the episode
payment when calculating actual Medicare payment for the episode. For
non-IPPS inpatient hospital (for example, CAH) and inpatient PAC (for
example, SNF, IRF, LTCH, IPF) services, we proposed to prorate payments
based on the percentage of actual length of stay (in days) that falls
within the episode window. Prorated payments would also be similarly
allocated to the 30-day post-episode payment calculation in section
III.C.8.d. of this final rule. In the prior example, one-third of the
days in the 15-day length of stay would fall within the episode window,
so under the proposed approach, one-third of the SNF payment would be
included in the episode payment calculation, and the remaining two-
thirds (because the entirety of the remaining payments fall within the
30 days after the episode ended) would be included in the post-episode
payment calculation.
For HHA services that extend beyond the episode, we proposed that
the
[[Page 73334]]
payment proration be based on the percentage of days, starting with the
first billable service date (``start of care date'') and through and
including the last billable service date, that fall within the CJR
episode. Prorated payments would also be similarly allocated to the 30-
day post-episode payment calculation in section III.C.8.d. of the
proposed rule. For example, if the patient started receiving services
from an HHA on day 86 after discharge from the anchor CJR
hospitalization and the last billable home health service date was 55
days from the start of home health care date, the HHA claim payment
amount would be divided by 55 and then multiplied by the days (5) that
fell within the CJR episode. The resulting, prorated HHA claim payment
amount would be considered part of the CJR episode. Services for the
prorated HHA service would also span the entirety of the 30 days after
the CJR episode spends, so the result of the following calculation
would be included in the 30-day post-episode payment calculation: HHA
claim payment amount divided by 55 and then multiplied by 30 days (the
number of days in the 30-day post-episode period that fall within the
prorated HHA service dates).
There may also be instances where home health services begin prior
to the CJR episode start date, but end during the CJR episode. In such
instances, we also proposed to prorate HHA payments based on the
percentage of days that fell within the episode. Because these services
end during the CJR episode, prorated payments for these services would
not be included in the 30-day post-episode payment calculation
discussed in section III.C.8.d. of the proposed rule. For example, if
the patient's start of care date for a home health 60-day claim was
February 1, the anchor hospitalization was March 1 through March 4
(with the CJR episode continuing for 90 days after March 4), and the
patient resumed home care on March 5 with the 60-day home health claim
ending on April 1 (that is, April 1 was the last billable service
date), we would divide the 60-day home health claim payment amount by
60 and then multiply that amount by the days from the CJR admission
through April 1 (32 days) to prorate the HHA payment. This proposed
prorating method for HHA claims is consistent with how partial episode
payments (PEP) are paid for on home health claims.
For IPPS services that extend beyond the episode (for example,
readmissions included in the episode definition), we proposed to
separately prorate the IPPS claim amount from episode target price and
actual episode payment calculations as proposed in section III.C.8. of
the proposed rule, called the normal MS-DRG payment amount for purposes
of this final rule. The normal MS-DRG payment amount would be pro-rated
based on the geometric mean length of stay, comparable to the
calculation under the IPPS PAC transfer policy at Sec. 412.4(f) and as
published on an annual basis in Table 5 of the IPPS/LTCH PPS Final
Rules. Consistent with the IPPS PAC transfer policy, the first day for
a subset of MS-DRGs (indicated in Table 5 of the IPPS/LTCH PPS Final
Rules) would be doubly weighted to count as 2 days to account for
likely higher hospital costs incurred at the beginning of an admission.
If the actual length of stay that occurred during the episode is equal
to or greater than the MS-DRG geometric mean, the normal MS-DRG payment
would be fully allocated to the episode. If the actual length of stay
that occurred during the episode is less than the geometric mean, the
normal MS-DRG payment amount would be allocated to the episode based on
the number of inpatient days that fall within the episode. If the full
amount is not allocated to the episode, any remainder amount would be
allocated to the 30 day post-episode payment calculation discussed in
section III.C.8.d. of the proposed rule. The proposed approach for
prorating the normal MS-DRG payment amount is consistent with the IPPS
transfer per diem methodology.
The following is an example of prorating for IPPS services that
extend beyond the episode. If beneficiary has a readmission for MS-DRG
493--lower extremity and humerus procedures except hip, foot, and
femur, with complications--into an IPPS hospital on the 89th day after
discharge from a CJR anchor hospitalization, and is subsequently
discharged after a length of stay of 5 days, Medicare payment for this
readmission would be prorated for inclusion in the episode. Based on
Table 5 of the IPPS/LTCH PPS Final Rule for FY 2015, the geometric mean
for MS-DRG 493 is 4 days, and this MS-DRG is indicated for double-
weighting the first day for proration. This readmission has only 2 days
that falls within the episode, which is less than the MS-DRG 493
geometric mean of 4 days. Therefore, the normal MS-DRG payment amount
associated with this readmission would be divided by 4 (the geometric
mean) and multiplied by 3 (the first day is counted as 2 days, and the
second day contributes the third day), and the resulting amount is
attributed to the episode. The remainder one-fourth would be captured
in the post-episode spending calculation discussed in section III.C.8.
of the proposed rule. If the readmission occurred on the 85th day after
discharge from the CJR anchor hospitalization, and the length of stay
was 7 days, the normal MS-DRG payment amount for the admission would be
included in the episode without proration because length of stay for
the readmission falling within the episode (6 days) is greater than or
equal to the geometric mean (4 days) for the MS-DRG.
We considered an alternative option of including the full Medicare
payment for all services that start during the episode, even if those
services did not conclude until after the episode ended, in calculating
episode target prices and actual payments. Previous research on bundled
payments for episodes of PAC services noted that including the full
payment for any claim initiated during the fixed episode period of time
will capture continued service use. However, prorating only captures a
portion of actual service use (and payments) within the bundle.\20\ As
discussed in section III.B. of this final rule, the CJR model proposed
an episode length that extends 90 days post-discharge, and Table 5 in
section III.B.3.c. of the proposed rule demonstrates that the average
length of stay in PAC during a 90-day episode with a MS-DRG 470 anchor
hospitalization is 47.3 days. Therefore, the length of the episode
under CJR (90 days) should be sufficient to capture the vast majority
of service use within the episode, even if payments for some services
that extend beyond the episode duration are prorated and only partly
attributed to the episode.
---------------------------------------------------------------------------
\20\ https://aspe.hhs.gov/health/reports/09/pacepifinal/report.pdf.
---------------------------------------------------------------------------
The following is a summary of comments received and our responses.
Comment: Several commenters supported the pro-rating of payments
for services that extend beyond the episode. They agreed that pro-
rating would help ensure target prices and actual episode payments
reflect services that were furnished during the episode. A commenter
requested clarification on how payments for IRFs would be pro-rated.
Another commenter stated that the first day for pro-rated surgical MS-
DRGs paid under IPPS should be weighted by more than the two-times
weight proposed; the commenter believed that a multiplier of up to 4.5
would more accurately describe hospitals' costs for the first day of
surgical inpatient admissions reimbursed under Medicare IPPS.
[[Page 73335]]
Response: We appreciate commenters' support for pro-rating payments
for services that extend beyond the episode. As described in section
III.C.3.b of this final, IRF payments will be pro-rated based on the
percentage of actual length of stay (in days) that falls within the
episode window. Prorated IRF payments would also be similarly allocated
to the 30 day post episode payment calculation in section III.C.8.d. of
this final rule.
We agree that costs for inpatient stays may not be equal for each
day of an inpatient admission, and the distribution of costs may differ
between surgical and non-surgical inpatient stays. We acknowledge there
may be different methodologies to calculate how much more costs are
incurred on the first day of a stay. However, we will maintain
consistency with the IPPS per diem transfer policy that uses a two-
times weight for the first day for a subset of MS-DRGs as described in
Sec. 412.4(f) and published on an annual basis in Table 5 of the IPPS/
LTCH PPS Final Rules. We also note that many surgical readmissions are
excluded from the episode definition described in section III.B. of
this final rule, which should mitigate the impact of this prorating
approach on surgical readmissions that extend beyond the episode.
Final Decision: After consideration of the public comments we
received, we are finalizing the proposal to prorate payments for
services that extend beyond the episode when calculating actual episode
payments, setting episode target prices, and calculating reconciliation
and repayment amounts.
c. Pricing Adjustment for High Payment Episodes
Given the broad proposed LEJR episode definition and 90-day post-
discharge episode duration proposed for CJR, we want to ensure that
hospitals have some protection from the variable repayment risk for
especially high payment episodes, where the clinical scenarios for
these cases each year may differ significantly and unpredictably. We
did not believe the opportunity for a hospital's systematic care
redesign of LEJR episodes has significant potential to impact the
clinical course of these extremely disparate high payment cases.
The BPCI Model 2 uses a generally similar episode definition as
proposed for CJR and the vast majority of BPCI episodes being tested
for LEJR are 90 days in duration following discharge from the anchor
hospitalization. Similarly in the proposed rule, we stated our belief
that the distribution of 90-day LEJR episode payment amounts utilizing
the BPCI Model 2 episode definition as displayed in Figure 2 provides
information that is relevant to policy development regarding CJR
episodes.
[GRAPHIC] [TIFF OMITTED] TR24NO15.002
[[Page 73336]]
As displayed, the mean episode payment amount is approximately
$26,000. Five percent of all episodes are paid at two standard
deviations above the mean payment or greater, an amount that is
slightly more than 2 times the mean episode payment amount. While these
high payment cases are relatively uncommon, we stated in the proposed
rule our belief that incorporation of the full Medicare payment amount
for such high payment episodes in setting the target price and
correspondingly in Medicare's aggregate actual episode payment that is
compared to the target price for the episode may lead in some cases to
excessive hospital responsibility for these episode expenditures. This
may be especially true when hospital responsibility for repayment of
excess episode spending is introduced in performance year 2. The
hospital may have limited ability to moderate spending for these high
payment cases. Our proposal to exclude IPPS new technology add-on
payments and separate payment for clotting factors for the anchor
hospitalization from the episode definition limits excessive financial
responsibility under this model of extremely high inpatient payment
cases that could result from costly hospital care furnished during the
anchor hospitalization. However, in the proposed rule we stated our
belief that an additional pricing adjustment in setting episode target
prices and calculating actual episode payments is necessary to mitigate
the hospital responsibility for the actual episode payments for high
episode payment cases resulting from very high Medicare spending within
the episode during the period after discharge from the anchor
hospitalization, including for PAC, related hospital readmissions, and
other items and services related to the LEJR episode.
Thus, in order to limit the hospital's responsibility for the
previously stated high episode payment cases, we proposed to utilize a
pricing adjustment for high payment episodes that would incorporate a
high payment ceiling at two standard deviations above the mean episode
payment amount in calculating the target price and in comparing actual
episode payments during the performance year to the target prices.
Specifically, when setting target prices, we would first identify
for each anchor MS-DRG in each region (discussed further in section
III.C.4. of this final rule) the episode payment amount that is two
standard deviations above the mean payment in the historical dataset
used (discussed further in section III.C.4. of the proposed rule). Any
such identified episode would have its payment capped at the MS-DRG
anchor and region-specific value that is two standard deviations above
the mean, which would be the ceiling for purposes for calculating
target prices. We note that the calculation of the historical episode
high payment ceiling for each region and MS-DRG anchor would be
performed after other steps, including removal of effects of special
payment provisions and others described in section III.C.4.c. of this
final rule.
When comparing actual episode payments during the performance year
to the target prices, episode payments for episodes in the performance
year would also be capped at two standard deviations above the mean.
The high episode payment ceiling for episodes in a given performance
year would be calculated based on MS-DRG anchor-specific episodes in
each region. We discuss further how the high episode payment ceiling
would be applied when comparing episode payments during the performance
year to target prices in section III.C.6. of this final rule.
While this approach generally lowers the target price slightly, it
provides a basis for reducing the hospital's responsibility for actual
episode spending for high episode payment cases during the model
performance years. When performing the reconciliation for a given
performance year of the model, we would array the actual episode
payment amounts for all episodes being tested within a single region,
and identify the regional actual episode payment ceiling at two
standard deviations above the regional mean actual episode payment
amount. If the actual payment for a hospital's episode exceeds this
regional ceiling, we would set the actual episode payment amount to
equal the regional ceiling amount, rather than the actual amount paid
by Medicare, when comparing a hospital's episode spending to the target
price. Thus, a hospital would not be responsible for any actual episode
payment that is greater than the regional ceiling amount for that
performance year. We proposed to adopt this policy for all years of the
model, regardless of the reconciliation payment opportunity or
repayment responsibility in a given performance year, to achieve
stability and consistency in the pricing methodology. We stated in the
proposed rule our belief that this proposal provides reasonable
protection for hospitals from undue financial responsibility for
Medicare episode spending related to the variable and unpredictable
course of care of some Medicare beneficiaries in CJR episodes, while
still fully incentivizing increased efficiencies for approximately the
95 percent of episodes for which we estimate actual episode payments to
fall below this ceiling.\21\ We sought comment on our proposal to apply
a pricing adjustment in setting target prices and reconciling actual
episode payments for high payment episodes.
---------------------------------------------------------------------------
\21\ Medicare FFS Parts A and B claims, CJR episodes as
proposed, between October 1, 2013 and September 30, 2014.
---------------------------------------------------------------------------
The following is a summary of the comments received and our
responses.
Comment: Many commenters supported the proposal for a high episode
payment ceiling at two standard deviations above the mean episode
payment amount in calculating the target price and in comparing actual
episode payments during the performance year to the target prices. They
agreed that such a ceiling would help limit financial exposure to
participant hospitals from outlier episodes. Some commenters requested
the option of choosing specific risk tracks as provided under BPCI (for
example, high episode payment ceiling at 75th, 95th, or 99th
percentile).
Response: We appreciate commenters' support for a high episode
payment ceiling. We acknowledge that BPCI offers different risk tracks
with different outlier protection features from which participants can
choose, and that we did not propose to provide CJR participant
hospitals with choice of risk tracks or outlier protection policy.
However, with the blending of regional and hospital-specific historical
episode expenditure data that we are finalizing in section
III.C.4.b.(5) of this final rule to calculate target prices, applying
different risk tracks or outlier protection policies to different
hospitals would distort target price calculations; this is not an issue
in BPCI because target prices are calculated using only hospital-
specific historical episode expenditure data. Additionally, we continue
to believe that setting a high episode payment ceiling at two standard
deviations above the mean episode payment amount, along with the
phasing in of responsibility for hospital repayment in performance year
1 as discussed in section III.C.2 of this final rule, will be
sufficient to limit financial exposure due to outlier episodes. We will
finalize our proposal to use a common outlier policy for all
participant hospitals.
Comment: Many commenters requested that CMS risk adjust episode
spending based on patients' hip fracture status, among other clinical
and demographic dimensions.
Response: We refer readers to comments and responses to comments
[[Page 73337]]
in section III.C.4.b.(1) of this final rule for further discussion on
risk stratification for hip fracture status, and we reference it here
because changes to risk stratification would impact how a high payment
episode ceiling would function. As discussed in the responses to
comments in section III.C.4.b.(1) of this final rule, we will modify
our policy in this final rule so as to set different target prices both
for episodes anchored by MS-DRG 469 vs. MS-DRG 470 and for episodes
with hip fractures vs. without hip fractures. Given this change, we
will also modify the proposed approach to apply the high payment
episode ceiling. Specifically, instead of calculating and applying high
payment episode ceilings for each region and anchor MS-DRG combination,
we will now calculate and apply high payment episode ceilings for each
region, anchor MS-DRG, and hip fracture status combination.
Final Decision: After consideration of the public comments we
received, we are finalizing the proposal to apply high episode payment
ceilings when calculating actual episode payments, setting episode
target prices, and calculating reconciliation and repayment amounts.
However, we do note that the approach to calculate and apply the high
episode payment ceilings will be adapted to account for the risk
stratification based on hip fracture status discussed in section
III.C.4.b. of this final rule.
4. Episode Price Setting Methodology
a. Overview
Whether a participant hospital receives reconciliation payments or
is made responsible to repay Medicare for the CJR model will depend on
the hospital's quality and actual payment performance relative to
episode quality and target prices. Quality performance and its tie to
payments is further discussed in section III.C.5. of this final rule,
and the remainder of this section will discuss the proposed approach to
establishing target prices.
We proposed to establish CJR target prices for each participant
hospital. For episodes beginning in performance years 1, 3, 4, and 5, a
participant hospital would have eight target prices, one for each of
the following:
MS-DRG 469 anchored episodes that were initiated between
January 1 and September 30 of the performance year, if the participant
hospital successfully submits data on the voluntary patient-reported
outcome measure proposed in section III.C.5. of the proposed rule.
MS-DRG 470 anchored episodes that were initiated between
January 1 and September 30 of the performance year, if the participant
hospital successfully submits data on the proposed voluntary patient-
reported outcome measure.
MS-DRG 469 anchored episodes that were initiated between
October 1 and December 31 of the performance year, if the participant
hospital successfully submits data on the proposed voluntary patient-
reported outcome measure.
MS-DRG 470 anchored episodes that were initiated between
October 1 and December 31 of the performance year, if the participant
hospital successfully submits data on the proposed voluntary patient-
reported outcome measure.
MS-DRG 469 anchored episodes that were initiated between
January 1 and September 30 of the performance year, if the participant
hospital does not successfully submit data on the voluntary patient-
reported outcome measure.
MS-DRG 470 anchored episodes that were initiated between
January 1 and September 30 of the performance year, if the participant
hospital does not successfully submit data on the proposed voluntary
patient-reported outcome measure.
MS-DRG 469 anchored episodes that were initiated between
October 1 and December 31 of the performance year, if the participant
hospital does not successfully submit data on the proposed voluntary
patient-reported outcome measure.
MS-DRG 470 anchored episodes that were initiated between
October 1 and December 31 of the performance year, if the participant
hospital does not successfully submit data on the proposed voluntary
patient-reported outcome measure.
For episodes beginning in performance year 2, a participant
hospital would have 16 target prices. These would include the same
combinations as for the other 4 performance years, but one set for
determining potential reconciliation payments, and the other for
determining potential Medicare repayment amounts, as part of the
phasing in of two-sided risk discussed later in this section. Further
discussion on our proposals for different target prices for MS-DRG 469
versus MS-DRG 470 anchored episodes, for episodes initiated between
January 1 and September 30 versus October 1 and December 31, and for
participant hospitals that do and do not successfully submit data on
the proposed patient-reported outcome measure can be found in sections
III.C.4.b. and III.C.5. of the proposed rule.
We intend to calculate and communicate episode target prices to
participant hospitals prior to the performance period in which they
apply (that is, prior to January 1, 2017, for target prices covering
episodes initiated between January 1 and September 30, 2017; prior to
October 1, 2017 for target prices covering episodes initiated between
October 1 and December 31, 2017). We stated in the proposed rule our
belief that prospectively communicating prices to hospitals will help
them make any infrastructure, care coordination and delivery, and
financial refinements they may deem appropriate to prepare for the new
episode target prices.
The proposed approach to setting target prices incorporated the
following features:
Set different target prices for episodes anchored by MS-
DRG 469 versus MS-DRG 470 to account for patient and clinical
variations that impact hospitals' cost of providing care.
Use 3 years of historical Medicare payment data grouped
into episodes of care according to the episode definition in section
III.B. of the proposed rule, hereinafter termed historical CJR
episodes. The specific set of 3-historical-years used would be updated
every other performance year.
Apply Medicare payment system (for example, IPPS, OPPS,
IRF PPS, SNF, MPFS, etc.) updates to the historical episode data to
ensure we incentivize hospitals based on historical utilization and
practice patterns, not Medicare payment system rate changes that are
beyond hospitals' control. Because different Medicare payment system
updates become effective at two different times of the year, we would
calculate separate target prices for episodes initiated between January
1 and September 30 versus October 1 and December 31.
Blend together hospital-specific and regional historical
CJR episode payments, transitioning from primarily provider-specific to
completely regional pricing over the course of the 5 performance years,
to incentivize both historically efficient and less efficient hospitals
to furnish high quality, efficient care in all years of the model.
Regions would be defined as each of the nine U.S. Census divisions.
Normalize for provider-specific wage adjustment variations
in Medicare payment systems when combining provider-specific and
regional historical CJR episodes. Wage adjustments would
[[Page 73338]]
be reapplied when determining hospital-specific target prices.
Pool together CJR episodes anchored by MS DRGs 469 and 470
to use a greater historical CJR episode volume and set more stable
prices.
Apply a discount factor to serve as Medicare's portion of
reduced expenditures from the CJR episode, with any remaining portion
of reduced Medicare spending below the target price potentially
available as reconciliation payments to the participant hospital where
the anchor hospitalization occurred.
Further discussion on each of the individual features can be found
in section III.C.4.b. of this final rule. In section III.C.4.c. of this
final rule, we also provide further details on the proposed sequential
steps to calculate target prices and how each of the pricing features
would fit together.
The following is a summary of the comments received and our
responses.
Comment: Commenters responded on several of the proposed pricing
features, including how quality performance would affect payment, and
we refer readers to comments and responses to comments in sections
III.C.4.b and III.C.5 for further discussion on changes to how quality
would be tied to payment as described in the proposed rule. We
reference these comments here because any changes to the proposed
episode price setting methodology and link between quality performance
and payment would impact the number of target prices for each
participant hospital.
Response: As further discussed in section III.C.4.b.(1) of this
final rule, we are modifying the proposed rule to risk stratify (and
set different prices) based on not just different anchor MS-DRGs but
also patients' hip fracture status. As discussed in section
III.C.4.b.(9) of this final rule, we are modifying our policy in this
final rule so as to use lower discount factors for purposes of
determining the hospital's responsibility for excess episode spending
not only in performance year 2, but also in performance year 3.
Additionally, as discussed in section III.C.5 of this final rule, we
are modifying the proposed rule so as to provide different levels of
quality incentive payments that would modulate participant hospitals'
effective target price discount factor based on their quality
performance. Because of these changes, each participant hospital in
performance years 1, 4, and 5 will have 8 potential target prices for
each combination of anchor MS-DRG (469 vs. 470), hip fracture status
(with hip fracture vs. no hip fracture), and episode initiation date
(between April 1 and September 30 vs. between October 1 and December 31
for performance year 1, and between January 1 and September 30 vs.
between October 1 and December 31 for performance years 2 through 5).
Each participant hospital in performance years 2 and 3 will have 16
target prices for the same combinations in performance years 1, 4, and
5, but with one group of 8 potential target prices for purposes of
calculating reconciliation payments and another group of 8 potential
target prices for purposes of determining hospital's responsibility for
excess episode spending.
b. Pricing Features
(1) Different Target Prices for Episodes Anchored by MS-DRG 469 Versus
MS-DRG 470
For each participant hospital we proposed to establish different
target prices for CJR episodes initiated by MS-DRG 469 versus MS-DRG
470. MS-DRGs under the IPPS account for some of the clinical and
resource variations that exist and that impact hospitals' cost of
providing care. Specifically, MS-DRG 469 is defined to identify, and
provide hospitals a higher Medicare payment to reflect the higher
hospital costs for, hip and knee procedures with major complications or
comorbidities. Therefore, we proposed to risk stratify and calculate
separate target prices for each participant hospital for CJR episodes
with MS-DRG 469 versus MS-DRG 470 anchor hospitalizations.
We considered risk adjusting the episode target prices by making
adjustments or setting different prices based on patient-specific
clinical indicators (for example, comorbidities). However, we did not
believe there is a sufficiently reliable approach that exists suitable
for CJR episodes beyond MS-DRG-specific pricing, and there is no
current standard on the best approach. At the time of developing the
proposed rule Tennessee, Ohio, and Arkansas are launching multi-payer
(including Medicaid and commercial payers, excluding Medicare) bundles
and include hip and knee replacement as an episode.22 23 24
These states' hip and knee episode definitions and payment models are
consistent with, though not the same as, the proposed CJR episode
described in the proposed rule. However, each of these three states
uses different risk adjustment factors. This variation across states
supported our stated belief in the proposed rule that there is
currently no standard risk adjustment approach widely accepted
throughout the nation that could be used under CJR, a model that would
apply to hospitals across multiple states. Therefore, we did not
propose to make risk adjustments based on patient-specific clinical
indicators.
---------------------------------------------------------------------------
\22\ Tennessee Health Care Innovation Initiative. https://www.tn.gov/HCFA/strategic.shtml. Accessed on April 16, 2015.
\23\ Ohio Governor''s Office of Health Transformation.
Transforming Payment for a Healthier Ohio, June 8, 2014. https://www.healthtransformation.ohio.gov/LinkClick.aspx?fileticket=TDZUpL4a-SI%3d&tabid=138, Accessed on
April 16, 2014.
\24\ Total Joint Replacement Algorithm Summary, Arkansas Health
Care Payment Improvement Initiative, November 2012. https://www.paymentinitiative.org/referenceMaterials/Documents/TJR%20codes.pdf. Accessed on April 17, 2015.
---------------------------------------------------------------------------
We also considered making risk adjustments based on the participant
hospital's average Hierarchical Condition Category (HCC) score for
patients with anchor CJR hospitalizations. The CMS-HCC risk adjustment
model quantifies a beneficiary's risk by examining the beneficiary's
demographics and historical claims data and predicting the
beneficiary's total expenditures for Medicare Parts A and B in an
upcoming year. However, the CMS-HCC risk adjustment model's intended
use is to pay Medicare Advantage (MA) plans appropriately for their
expected relative costs. For example, MA plans that disproportionately
enroll the healthy are paid less than they would have been if they had
enrolled beneficiaries with the average risk profile, while MA plans
that care for the sickest patients are paid proportionately more than
if they had enrolled beneficiaries with the average risk profile. The
CMS-HCC risk adjustment model is prospective. It uses demographic
information (that is, age, sex, Medicare/Medicaid dual eligibility,
disability status) and a profile of major medical conditions in the
base year to predict Medicare expenditures in the next year.\25\ As
previously noted, the CMS-HCC risk adjustment model is used to predict
total Medicare expenditures in an upcoming year, and may not be
appropriate for use in predicting expenditures over a shorter period of
time, such as the CJR episode, and may not be appropriate in instances
where its use is focused on LEJRs. Therefore, since we have not
evaluated the validity of HCC scores for predicting Medicare
expenditures for shorter episodes of care or for specifically LEJR
beneficiaries, we did not propose to risk
[[Page 73339]]
adjust the target prices using HCC scores for the CJR model.
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\25\ Pope, C. et al., Evaluation of the CMS-HCC Risk Adjustment
Model Final Report. Report to the Centers for Medicare & Medicaid
Services under Contract Number HHSM-500-2005-00029I. RTI
International. Research Triangle Park, NC. March, 2011.
---------------------------------------------------------------------------
We also considered risk stratifying or setting different prices for
different procedures, such as different prices for hip versus knee
replacements, but we did not believe there would be substantial
variation in episode payments for these clinical scenarios to warrant
different prices or adjustments. Moreover, Medicare IPPS payments,
which account for approximately 50 percent \26\ of CJR episode
expenditures, do not differentiate between hip and knee procedures,
mitigating procedure-specific variation for the anchor hospitalization.
Furthermore, there are no widely accepted clinical guidelines to
suggest that PAC intensity would vary significantly between knee and
hip replacements. We sought comment on our proposal to price episodes
based on the MS-DRG for the anchor hospitalization, without further
risk adjustment.
---------------------------------------------------------------------------
\26\ Medicare FFS Parts A and B claims, CJR episodes, as
proposed in this rule, between October 2013 and September 2014.
---------------------------------------------------------------------------
The following is a summary of the comments received and our
responses.
Comment: Many commenters stated that proper risk adjustment is
necessary for the success of this model, and that anchor MS-DRG-
specific pricing can help but is not sufficient on its own. Proper risk
adjustment would account for differences in episode spend due to
patient variations that are out of providers' control. They stated that
MS-DRGs may capture variations within the inpatient setting, but do not
reflect patient variations post-discharge. Inappropriate risk
adjustment could lead to access issues for higher risk patients and
increased volume of LEJR procedures for younger/healthier patients by
participant hospitals looking to lower their average episode
expenditures.
Most commenters who wrote on the issue suggested risk adjustment or
complete exclusion for episodes with hip fractures, partial hip
replacements, and emergent (versus non-emergent or elective)
procedures. Some commenters provided analysis on hip fractures, in
particular, and demonstrated episodes with hip fractures are
significantly more expensive than those without hip fractures. Other
clinical and demographic dimensions offered for risk adjustment or
exclusion include the following: Procedure (total hip [THA] vs. total
knee [TKA] vs. partial hip [PHA] vs. ankle vs. limb reattachment);
socioeconomic status; patient functional status; age; and
comorbidities. Requests from commenters for risk adjustment based on
the previously stated dimensions were usually paired with requests to
also exclude patients from the CJR model, and we encourage readers to
read comments in section III.B.2.a. of this final rule for additional
details on the clinical and demographic dimensions requested for risk
adjustment or exclusion.
Some commenters who wrote on the issue of risk adjustment disputed
CMS' statement in the proposed rule that there is no standard risk
adjustment approach widely accepted throughout the nation. They pointed
to examples of existing risk adjustment approaches that could be used
for CJR episodes, such as Optum's Procedure Episode Grouper (PEG),
Truven's Medical Episode Grouper (MEG), Health Care Incentives
Improvement Institute's (HCI3) risk adjustment model, CMS's HCCs model,
and CMS's risk-adjusted quality/efficiency metric for elective LEJR
episodes: Hospital-Level, Risk-Standardized Payment Associated with a
90-Day Episode of Care for Elective Primary Total Hip Arthroplasty
(THA) and/or Total Knee Arthroplasty (TKA).
Response: In response to comments, we undertook further analysis.
Our analysis showed that episodes with hip fractures, identified by
historical anchor hospitalization claims with an ICD-9-CM hip fracture
code as the principal diagnosis, have approximately 70 percent greater
historical average episode expenditures than episodes without hip
fractures, even for episodes within the same anchor MS-DRG, confirming
analyses shared by some commenters that also showed episodes with hip
fractures to have significantly greater average expenditures.\27\ PHA
episodes and emergent episodes had similarly higher historical average
expenditures than TKA and THA episodes and non-emergent episodes,
respectively. There are clearly patient-specific conditions that lead
to significant episode expenditure variations, even within the same MS-
DRG.
---------------------------------------------------------------------------
\27\ Medicare FFS Parts A and B claims, CJR episodes, as
proposed in the proposed rule, between October 2013 and September
2014.
---------------------------------------------------------------------------
On the basis of the comments and our further analysis, we agree
with commenters that proper risk adjustment is necessary to
appropriately incentivize participant hospitals to deliver high quality
and efficient care. We acknowledge that a comprehensive risk adjustment
methodology beyond just setting different prices by anchor MS-DRGs
could more accurately risk adjust episodes for patient-specific
clinical and demographic factors that would drive variations in CJR
episode expenditures.
We disagree with commenters, though, that there is an already
existing, widely accepted risk adjustment methodology for CJR episodes.
The HCC model, as discussed earlier in this section, is not designed to
predict costs within CJR episodes and may not accurately predict CJR
episode expenditures. Commercial claims groupers such as Optum's PEG,
Truven's MEG, and HCI3's risk adjustment model utilize different
episode definitions from how we will define CJR episodes. Additionally,
these commercial groupers have yet to be validated for a Medicare
population; we believe there may be a different set of risk factors
that predict episode expenditures for Medicare beneficiaries than those
used to predict episode expenditures for younger and generally
healthier individuals with commercial insurance. We also acknowledge
that CMS has designed a risk-adjusted quality/efficiency metric for
elective LEJR episodes: Hospital-Level, Risk-Standardized Payment
Associated with a 90-Day Episode of Care for Elective Primary Total Hip
Arthroplasty (THA) and/or Total Knee Arthroplasty (TKA). This metric,
though, has been developed for a different episode definition; most
notably, this risk-adjusted metric excludes emergent episodes while the
CJR episode definition does not exclude emergent episodes, as discussed
in section III.B. of this final rule.
We do believe that there are opportunities to learn from existing
comprehensive risk adjustment models, and we may explore how a
comprehensive risk adjustment model such as these may be adapted for
the CJR model in the future.
In the meantime, though, we also believe we can improve upon the
proposed approach of only setting different target prices by anchor MS-
DRG. Specifically, we can account for the impact of hip fracture status
(with hip fracture vs. without hip fracture), procedure choice (PHA vs.
TKA or THA), and emergence status (emergent vs. non-emergent) on
episode expenditures. According to our analysis, though, there was
significant correlation between incidence of hip fractures, partial hip
procedures, and emergent procedures--94 percent of partial hip
replacement episodes and 93 percent of emergent episodes are for
patients with hip fractures. Because of the correlation between these
three factors, we believe we can account for all three by risk
stratifying based on hip fracture status alone. We believe hip fracture
status is a more appropriate dimension on which
[[Page 73340]]
to risk stratify because it reflects patients' clinical status, as
opposed to partial hip replacements and emergent procedures which are
influenced by providers' care delivery decisions.
In light of the comments and our additional analysis, we will
modify our proposed policy to risk stratify, or set different target
prices, both for episodes anchored by MS-DRG 469 vs. MS-DRG 470 and for
episodes with hip fractures vs. without hip fractures. By adding hip
fracture status to our risk stratification approach, we believe we can
capture a significant amount of patient-driven episode expenditure
variation. Additionally, because of the high correlation between
incidence of hip fractures, partial hip procedures, and emergent
procedures, we do not believe we need to add any procedure-specific and
emergent status factors for risk stratification. We still believe, as
stated in the proposed rule that PAC intensity would not vary
significantly between TKA and THA for beneficiaries without hip
fractures.
We will identify episodes with hip fractures using ICD-9-CM or ICD-
10-CM diagnosis codes, where the hip fracture diagnosis is the
principal diagnosis on the anchor hospitalization claim for an LEJR
procedure. Our goal is to identify those CJR episodes where the primary
surgical treatment for the hip fracture is an LEJR procedure furnished
during the anchor hospitalization. The historical episodes with hip
fracture diagnosis codes on the anchor hospitalization claim will be
used to set the hip fracture episode target prices under the CJR model,
and episodes during the CJR model with hip fracture diagnosis codes on
the anchor hospitalization claim will be reconciled at the hip fracture
episode target prices.
In order to develop the initial list of ICD-9-CM hip fracture
diagnosis codes used to identify those historical episodes with hip
fracture for calculating hip fracture episode target prices, to
implement changes to the list to account for the transition to the ICD-
10-CM diagnosis code set that will be used to identify episodes during
the model performance years that will receive fracture episode target
prices, and to make other changes as necessary based on annual ICD-10-
CM coding changes or to address issues raised by the public throughout
the model performance years, we are implementing the following
subregulatory process, which mirrors the subregulatory process we will
use for the episode definition exclusions list described in section
III.B.2 of this final rule. We will use this process on an annual, or
more frequent, basis to update the ICD-CM hip fracture diagnosis code
list and to address issues raised by the public.
As part of this process, we will first develop the potential ICD-CM
hip fracture diagnosis codes based on our assessment according to the
following standards:
The ICD-CM diagnosis code is sufficiently specific that it
represents a bone fracture for which a physician could determine that a
hip replacement procedure, either a PHA or a THA, could be the primary
surgical treatment.
The ICD-CM diagnosis code is the primary reason (that is,
principal diagnosis code) for the anchor hospitalization.
We will then post a list of potential hip fracture diagnosis codes
(whether ICD-9-CM diagnosis codes, as necessary to develop initial
target prices, or ICD-10-CM diagnosis codes to be utilized during the
model performance years) to the CMS Web site at https://innovation.cms.gov/initiatives/cjr/ to allow for public input on our
planned application of these standards, and then we will adopt the ICD-
CM hip fracture diagnosis code list with posting to the CMS Web site of
the final ICD-CM hip fracture diagnosis code list after our
consideration of the public input.
With public release of this final rule, we are initiating this
subregulatory process to develop a final ICD-9-CM hip fracture
diagnosis code list that will be used to identify historical anchor
hospitalizations for beneficiaries with hip fracture for purposes of
determining episode spending in the historical period and developing
initial target prices for the model. The potential ICD-9-CM hip
fracture diagnosis code list is posted on the CJR Web site at https://innovation.cms.gov/initiatives/cjr/. Given our objective to quickly
develop target prices and provide them to participant hospitals in the
timeframe described in section III.C.4. of this final rule, we will
allow for public input on this list for 14 days after the public
release of this final rule. Public comments will be submitted via an
email address posted on the CJR Web site along with the list of
potential ICD-9-CM hip fracture diagnosis codes previously referenced.
We will consider the public's input and then, after consideration, we
will post the final ICD-9-CM hip fracture diagnosis code list to the
CMS Web site. This list will be used to calculate the first set of
target prices communicated to participant hospitals. Within 30 days of
public release of the final rule, we will again initiate this
subregulatory process to identify ICD-10-CM hip fracture diagnosis
codes by posting the potential ICD-10-CM hip fracture diagnosis code
list on the CMS Web site and seeking public input, so we can provide in
a timely manner the final list of ICD-10-CM hip fracture diagnosis
codes prior the beginning of the first model performance year.
Final Decision: After consideration of the public comments we
received, we are modifying the proposed rule to risk stratify (and set
different target prices) based on not just different anchor MS-DRGs but
also patients' hip fracture status. We will identify episodes with hip
fractures using ICD-9-CM or ICD-10-CM diagnosis codes in the principal
position on the claim for the anchor hospitalization. We are
instituting a subregulatory process in order to allow for public
comment and to finalize the ICD-9-CM and ICD-10-CM diagnosis codes to
be used in identifying hip fracture cases in the CJR model, which we
are initiating as of the public release of this final rule. We refer
readers to the list of ICD-9-CM diagnosis codes posted on the CJR model
Web site at https://innovation.cms.gov/initiatives/cjr/.
This policy is codified at Sec. 510.300(a).
(2) Three Years of Historical Data
We proposed to use 3 years of historical CJR episodes for
calculating CJR target prices. The set of 3-historical-years used would
be updated every other year. Specifically--
Performance years 1 and 2 would use historical CJR
episodes that started between January 1, 2012 and December 31, 2014;
Performance years 3 and 4 would use historical episodes
that started between January 1, 2014 and December 31, 2016; and
Performance year 5 would use episodes that started between
January 1, 2016 and December 31, 2018.
We considered using fewer than 3 years of historical CJR episode
data, but we are concerned with having sufficient historical episode
volume to reliably calculate target prices. We also considered not
updating the historical episode data for the duration of the model.
However, we stated in the proposed rule our belief that hospitals'
target prices should be regularly updated on a predictable basis to use
the most recent available claims data, consistent with the regular
updates to Medicare's payment systems, to account for actual changes in
utilization. We are not proposing to update the data annually, given
the uncertainty in pricing this could introduce for participant
hospitals. We also note that the effects of updating hospital-specific
data on the target price could be limited
[[Page 73341]]
as the regional contribution to the target price grows, moving to two-
thirds in performance year 3 when the first historical episode data
update would occur.
The following is a summary of the comments received and our
responses.
Comment: Commenters generally supported using historical
expenditures to set target prices. Several commenters expressed concern
that updating the 3 years of historical CJR episode data every other
year would effectively make participant hospitals compete against
themselves without consideration of whether they are already efficient.
Some of these commenters cited that BPCI does not update its historical
data for the entirety of the BPCI model, and some other commenters
noted that Medicare Shared Savings Program resets its historical
benchmark every three years with each new participation agreement.
There were also a few commenters that supported updating the 3 years of
historical CJR episode data every 2 years because it was better than
doing so every year.
Some commenters also stated that if we do update the historical
data, we should include previous reconciliation payments and repayments
to Medicare for the participant hospitals. We refer readers to comments
and responses to comments in section III.C.3 of this final rule for
further discussion on this comment.
Some commenters proposed alternative approaches to getting to
target prices other than using and updating historical data. Some
commenters suggested using a negotiations/bidding process approach to
get to target prices; Medicare would negotiate with or request bids
from providers for providing services covered under the CJR episode
definition. Some other commenters suggested applying some sort of
inflation factor, such as a CMS market basket update, for future years
of the model instead of updating the 3 years of historical CJR episode
data. These alternatives to using and updating the historical CJR
episode data would help prevent a participant hospital from competing
against its historical self, even if it is already efficient, in order
to qualify for reconciliation payments.
Response: We appreciate commenters' support for using historical
expenditures to set target prices. We acknowledge that BPCI does not
update participants' historical data and Medicare Shared Savings
Program does not reset participating entities' benchmark for 3 years
(until the beginning of a new agreement period). However, these
programs employ alternative mechanisms to account for recent national
trends reflecting changes in industry wide practice patterns. BPCI, for
example, retrospectively applies a national trend factor to trend
forward historical episode expenditure data and capture changes in
nationwide practice patterns between the time period used in the
historical data and the performance period. BPCI participants are not
penalized or rewarded for mirroring nationwide practice pattern trends.
In BPCI, however, participants' target prices are determined
retrospectively after the close of each performance period. We intend
to calculate and communicate target prices prior to the start of each
performance year, as discussed in section III.C.4.a of this final rule,
so we cannot utilize the retrospective national trend factor approach
as used in BPCI.
Instead, we proposed to capture changes in nationwide practice
patterns by updating every other year the historical CJR episode data
used to set target prices. We recognize that this approach of updating
the historical episode data every other year effectively assumes a zero
percent change in utilization between the latest year of historical
episode data and the performance year. We believe this can be a valid
estimate for a few years (for example, 2014 as the latest year of
historical episode data for 2017 target prices; update historical
episode data for 2018 target prices), but it is less likely to hold
true for longer periods of time (for example, 2014 as the latest year
of historical episode data for 2020 target prices; no update to
historical episode data). Therefore, we believe updating the historical
episode data is necessary. While updating the historical episode data
more frequently (that is, every year, instead of every other year)
would lessen our reliance on an assumption of zero percent utilization
change, doing so may exacerbate commenters' concerns that already
efficient hospitals would have to compete against themselves, as
discussed further later in this section.
We appreciate commenters' concerns that it may be unsustainable for
already efficient participant hospitals to continuously improve, and
that participant hospitals may undertake activities that promote care
coordination and improved quality of care but are not directly
reimbursed under applicable Medicare FFS payment systems. If we were
using 100 percent hospital-specific pricing, updating the historical
data used to set target prices without including reconciliation
payments would create a lower and harder to achieve target price for
participant hospitals that previously increased efficiency. As
discussed in section III.C.3 of this final rule, we may revisit in
future rulemaking our decision to exclude reconciliation payments and
repayment amounts when updating the set of historical years used to set
target prices. Additionally, as we transition to regional pricing over
the course of the model, participant hospitals will no longer compete
against their historical selves but rather strive to outperform their
regional peers. Under regional pricing, an already efficient hospital
may be able to achieve actual episode expenditures below the regional
target price without having to become even more efficient. By
performance year 3, when the first update to historical episode data
would occur, the majority of the target price would be based on the
regional component, not the hospital-specific component, as described
in section III.C.4.b.(5) of this final rule.
We appreciate commenters' suggestions on using alternative
approaches to setting target prices. We may consider such approaches
for future model tests.
Final Decision: After consideration of the public comments we
received, we are finalizing the proposal, without modification, to use
three years of historical expenditures, updated every other year, to
set target prices.
(3) Trending of Historical Data to the Most Recent Year of the Three
We acknowledge that some payment variation may exist in the 3 years
of historical CJR episodes due to updates to Medicare payment systems
(for example, IPPS, OPPS, IRF PPS, SNF PPS, etc.) and national changes
in utilization patterns. Episodes in the third of the 3-historical-
years may have higher average payments than those from the earlier 2
years because of Medicare payment rate increases over the course of the
3-historical-years. We do not intend to have CJR incentives be affected
by Medicare payment system rate changes that are beyond hospitals'
control. In addition to the changes in Medicare payment systems,
average episode payments may change year over year due to national
trends reflecting changes in industry-wide practice patterns. For
example, readmissions for all patients, including those in CJR
episodes, may decrease nationally due to improved industry-wide
surgical protocols that reduce the chance of infections. We do not
intend to provide reconciliation payments to (or require repayments
from) hospitals for achieving lower (or higher) Medicare expenditures
solely because they followed national changes in practice
[[Page 73342]]
patterns. Instead, we aim to incentivize hospitals based on their
hospital-specific inpatient and PAC delivery practices for LEJR
episodes.
To mitigate the effects of Medicare payment system updates and
changes in national utilization practice patterns within the 3 years of
historical CJR episodes, we proposed to apply a national trend factor
to each of the years of historical episode payments. Specifically, we
proposed to inflate the 2 oldest years of historical episode payments
to the most recent year of the 3-historical-years described in section
III.C.4.b.(2) of the proposed rule. We proposed to trend forward each
of the 2 oldest years using the changes in the national average CJR
episode payments. We also proposed to apply separate national trend
factors for episodes anchored by MS-DRG 469 versus MS-DRG 470 to
capture any MS-DRG-specific payment system updates or national
utilization pattern changes. For example, when using CY 2012-2014
historical episode data to establish target prices for performance
years 1 and 2, under our proposal we would calculate a national average
MS-DRG 470 anchored episode payment for each of the 3-historical-years.
The ratio of the national average MS-DRG 470 anchored episode payment
for CY 2014 to that of CY 2012 would be used to trend 2012 MS-DRG 470
anchored episode payments to CY 2014. Similarly, the ratio of the
national average MS-DRG 470 anchored episode payment for CY 2014 to
that of CY 2013 would be used to trend 2013 episode payments to CY
2014. The previously stated process would be repeated for MS-DRG 469
anchored episodes. Trending CY 2012 and CY 2013 data to CY 2014 would
capture updates in Medicare payment systems as well as national
utilization pattern changes that may have occurred.
We considered adjusting for regional trends in utilization, as
opposed to national trends. However, we stated in the proposed rule our
belief that any Medicare payment system updates and significant changes
in utilization practice patterns would not be region-specific but
rather be reflected nationally.
We sought comment on our proposal to nationally trend historical
data to the most recent year of the 3 being used to set the target
prices.
The following is a summary of the comments received and our
responses.
Comment: Some commenters supported the use of national trends for
trending historical data to the most recent of the 3 being used to set
the target prices. Some commenters suggested blending regional, instead
of national, trends to be consistent with how target prices will be
blended, as discussed in section III.C.4.b.(5) of this final rule. Some
commenters inquired how trending historical data would capture changes
in Medicare FFS fee schedules.
Response: We appreciate commenters' support for the use of national
trends for trending historical data. This trending of historical data
to the most recent of the 3 being used to set target prices would
capture both Medicare FFS fee schedule and practice pattern changes.
Medicare FFS fee schedule changes would be captured in the trend factor
calculations; for example, if Medicare FFS fee schedules change so as
to increase overall payments by 4 percent between the oldest and most
recent year of historical episode data, the national trend factor
applied to the oldest year of historical episode data would be 1.04
(assuming no change in utilization patterns). Medicare FFS fee schedule
changes apply across the nation, and we believe that major changes to
practice patterns would be nationwide and not constrained to any one
region.
Comment: Many commenters requested for risk adjustment based on
patients' hip fracture status, among other clinical and demographic
dimensions.
Response: We refer readers to comments and responses to comments in
section III.C.4.b.(1) of this final rule for further discussion on risk
stratification, and we reference it here because changes to risk
stratification would impact how we would trend historical data to the
most recent year of the three being used. As discussed in the responses
to comments in section III.C.4.b.(1) of this final rule, we will modify
our proposal so as to set different target prices both for episodes
anchored by MS-DRG 469 vs. MS-DRG 470 and for episodes with hip
fractures vs. without hip fractures. Given this change, we must also
modify the proposed approach to apply national trend factor.
Specifically, instead of calculating different national trend factors
just for anchor MS-DRGs 469 vs. 470, we will calculate different
national trend factors for each combination of anchor MS-DRG (469 vs.
470) and hip fracture status (with hip fracture vs. without hip
fracture) using the methodology we proposed.
Final Decision: After consideration of the public comments we
received, we are finalizing the proposal to trend historical data to
the most recent of the 3 being used to set target prices, though
instead of calculating different national trend factors just for anchor
MS-DRGs 469 vs. 470, we will calculate different national trend factors
for each combination of anchor MS-DRG (469 vs. 470) and hip fracture
status (with hip fracture vs. without hip fracture).
(4) Update Historical Episode Payments for Ongoing Payment System
Updates
We proposed to prospectively update historical CJR episode payments
to account for ongoing Medicare payment system (for example, IPPS,
OPPS, IRF PPS, SNF, MPFS, etc.) updates to the historical episode data
and ensure we incentivize hospitals based on historical utilization and
practice patterns, not Medicare payment system rate changes that are
beyond hospitals' control. Medicare payment systems do not update their
rates at the same time during the year. For example, IPPS, the IRF PPS,
and the SNF payment system apply annual updates to their rates
effective October 1, while the hospital OPPS) and MPFS apply annual
updates effective January 1. To ensure we appropriately account for the
different Medicare payment system updates that go into effect on
January 1 and October 1, we proposed to update historical episode
payments for Medicare payment system updates and calculate target
prices separately for episodes initiated between January 1 and
September 30 versus October 1 and December 31 of each performance year.
The target price in effect as of the day the episode is initiated would
be the target price for the whole episode. Note that in performance
year 5, the second set of target prices would be for episodes that
start and end between and including October 1 and December 31 because
the fifth performance period of the CJR model would end on December 31,
2020. Additionally, a target price for a given performance year may
apply to episodes included in another performance year. For example, an
episode initiated in November 2016, and ending in February 2017 would
have a target price based on the second set of 2016 target prices (for
episodes initiated between October 1 and December 31, 2016), and it
would be captured in the CY 2017 performance year (performance year 2)
because it ended between January 1 and December 31, 2017. We refer
readers to section III.C.3.c. of the proposed rule for further
discussion on the definition of performance years.
We proposed to update historical CJR episode payments by applying
separate Medicare payment system update factors each January 1 and
October 1 to each of the following six components of each hospital's
historical CJR payments:
Inpatient acute.
Physician.
[[Page 73343]]
IRF.
SNF.
HHA.
Other services.
A different set of update factors would be calculated for January 1
through September 30 versus October 1 through December 31 episodes each
performance year. The six update factors for each of the previously
stated components would be hospital-specific and would be weighted by
the percent of the Medicare payment for which each of the six
components accounts in the hospital's historical episodes. The weighted
update factors would be applied to historical hospital-specific average
payments to incorporate ongoing Medicare payment system updates. A
weighted update factor would be calculated by multiplying the
component-specific update factor by the percent of the hospital's
historical episode payments the component represents, and summing
together the results. For example, let us assume 50 percent of a
hospital's historical episode payments were for inpatient acute care
services, 15 percent for physician services, 35 percent for SNF
services, and 0.0 percent for the remaining services. Let us also
assume for this example that the update factors for inpatient acute
care services, physician services, and SNF services are 1.02, 1.03, and
1.01, respectively. The weighted update factor in this example would be
the following: (0.5 * 1.02) + (0.15*1.03) + (0.35*1.01) = 1.018. The
hospital in this example would have its historical average episode
payments multiplied by 1.018 to incorporate ongoing payment system
updates. The specific order of steps, and how this step fits in with
others, is discussed further in section III.C.4.c. of this final rule.
Each of a hospital's six update factors would be based on how
inputs have changed in the various Medicare payment systems for the
specific hospital. Additional details on these update factors will be
discussed later in this section.
Region-specific update factors for each of the previously stated
components and weighted update factors would also be calculated in the
same manner as the hospital-specific update factors. Instead of using
historical episodes attributed to a specific hospital, region-specific
update factors would be based on all historical episodes initiated at
any CJR eligible hospital within the region. For purposes of this rule,
CJR eligible hospitals are defined as hospitals that are paid under
IPPS and not a participant in BPCI Model 1 or in the risk-bearing
period of Models 2 or 4 for LEJR episodes, regardless of whether or not
the MSAs in which the hospitals are located were selected for inclusion
in the CJR model. CJR episodes initiated at a CJR eligible hospital
will for purposes of this rule be referred to as CJR episodes
attributed to that CJR eligible hospital.
We considered an alternative option of trending the historical
episode payments forward to the upcoming performance year using ratios
of national average episode payment amounts, similar to how we proposed
to trend the 2 oldest historical years forward to the latest historical
year for historical CJR episode payments in section III.C.4.b.(3) of
the proposed rule. Using ratios of national average episode payment
amounts would have the advantage of also capturing changes in national
utilization patterns in addition to payment system updates between the
historical years and the performance year. However, such an approach
would need to be done retrospectively, after average episode payments
can be calculated for the performance year, because it would rely on
the payments actually incurred in the performance period, data that
would be not be available before the performance period. While the
proposed approach of using component-specific weighted update factors
may be more complicated than the previously stated alternative to use
ratios of national average episode payment amounts, we stated in the
proposed rule our belief that the additional complication is outweighed
by the value to hospitals of knowing target prices before the start of
an episode for which the target price would apply. We sought comment on
this proposed approach of updating historical episode payments for
ongoing Medicare payment system changes.
We did not propose to separately and prospectively apply an
adjustment to account for changes in national utilization patterns
between the historical and performance years. If a prospective
adjustment factor for national utilization pattern changes were
applied, it may only be meaningful in performance years 2 and 4, when
the historical data used to calculate target prices would not be
updated, but another year of historical data would be available. In any
of the other 3 performance years, the latest available historical year
of data would already be incorporated into the target prices. Given
that we proposed to refresh the historical data used to calculate
target prices every 2 years, we did not believe an additional
adjustment factor to account for national practice pattern changes is
necessary to appropriately incentivize participant hospitals to improve
quality of care and reduce episode payments.
The following is a summary of the comments received and our
responses.
Comment: Several commenters noted that the Medicare payment system
update factors were complicated to calculate. Some commenters supported
the use of calculating Medicare payment system update factors at the
hospital-specific and regional levels to reflect practice pattern
variations, while some others proposed using national update factors to
incentivize reduction in medically unnecessary and/or inappropriate
practice pattern variations.
A couple of commenters also inquired whether the Medicare payment
system update factors accounted for changes Medicare FFS payment system
changes. A commenter requested we freeze MS-DRG weights for MS-DRGs 469
and 470 if the weights decrease in any given year as part of the annual
Medicare FFS IPPS payment system updates.
Response: We acknowledge that the Medicare payment system update
factor calculations are complex, but we believe the complexity is
necessary to account for Medicare FFS payment system changes. We will
use these payment system update factors to ensure that we incentivize
hospitals based on utilization and practice patterns, not Medicare
payment system rate changes. While changes to Medicare FFS rates for
individual services would be applicable nationwide, the relative
composition of each service in historical episodes will likely vary by
hospital and region. Calculating payment system update factors at the
hospital-specific and regional levels will more accurately capture the
effects of payment system changes.
We also note that we are finalizing a modification to the equations
used to calculate update factors for those payment systems that apply
annual updates to their rates effective October 1 of each year. In lieu
of calculating the update factors for inpatient acute, SNF, and IRF
services using the values applicable at the end of latest historical
year used to calculate target prices, we will use a blend of the values
applicable during the latest historical year. Such a change will
account for the payment systems that update payment rates on a fiscal
year cycle, ensure we are calculating update factors based on the
payment rates that apply to a given period to the extent feasible, and
result in more accurate target price calculations. We reflect this
change in the sections III.C.4.b.(4)(a),
[[Page 73344]]
III.C.4.b.(4)(c), and III.C.4.b.(4)(d) of this final rule
We believe freezing MS-DRG weights would run counter to our
objective to accurately account for the effects of Medicare FFS payment
system changes. If we freeze MS-DRG weights and the weights decrease,
we may inappropriately overestimate target prices.
Comment: Some commenters requested to have a single set of target
prices for the entire calendar year, as opposed to two different sets
of target prices that would account for intra-year Medicare FFS payment
systems updates: one set for January 1 through September 30, and a
second set for October 1 through December 31. These commenters stated
that a single target price for the entire year may be easier to
communicate to participant hospitals, and that the effect of mid-
calendar year changes in Medicare FFS (for example, October 1 IPPS
changes) could be estimated and reconciled against a single set of
target prices for the entire calendar year.
Response: We appreciate commenters' desire for simplicity. However,
we would not know the extent of October 1 Medicare FFS payment system
updates prior to January of the same year. Additionally, the October
update includes payment system updates for IPPS, which accounts for the
plurality of historical CJR episode expenditures. Without knowing the
magnitude of Medicare FFS payment system updates, we do not believe we
could reliably calculate target prices. Any estimate would likely
require corrections after the end of the performance year, rendering
the initial target price unreliable and unrepresentative of the target
price used for reconciliation.
Comment: Several commenters recommended that we modify the
definition of `CJR eligible hospitals,' the term used to identify
hospitals included in calculations for the regional component of target
prices (discussed further in section III.C.4.b.(5) of this final rule),
to not exclude hospitals that are participants in BPCI Model 1 or in
the risk bearing period of Models 2 or 4 for LEJR episodes. They
recommended that some regions may have a greater proportion of these
BPCI participants, and excluding them from the calculations for the
regional component of target prices would not accurately reflect the
region's historical expenditures. Additionally, with fewer hospitals
included, the region component of target prices would be more
significantly impacted by the performance of just CJR participant
hospitals.
Response: We agree with commenters' arguments to include hospitals
that are participants in BPCI Model 1 or in the risk bearing period of
Models 2 or 4 for LEJR episodes when calculating the regional component
of CJR target prices. Including these BPCI hospitals would more
accurately reflect the region's historical expenditures, independent of
the level of BPCI participation in the region. Therefore, we are not
finalizing our proposal to exclude these hospitals from the regional
calculation. We will modify the definition of ``CJR eligible
hospitals'' to include these BPCI hospitals so that their data is
included in the regional component of target prices. We will treat
these BPCI participants as though they were any other non-BPCI-
participating hospital--we would not apply the BPCI discount factor to
claims payments nor include BPCI reconciliation or repayments for these
BPCI hospitals. We do not intend to reduce target prices for
participant hospitals just because they are located in a region with
greater BPCI participation; instead, we want to ensure that we are
calculating a representative regional component for target prices. In
order to reduce potential confusion, we will also rename ``CJR eligible
hospitals'' to be ``CJR regional hospitals''.
We also clarify that BPCI LEJR episodes will be included in the
historical data used to calculate the hospital-specific component of
target prices. There may be some CJR participant hospitals who were
previously participants in BPCI Model 2; there may be some BPCI Model 2
episodes in the historical data initiated by PGPs for which the LEJR
procedure took place at the CJR participant hospital; or there may be
some BPCI Model 3 episodes in the historical data for which the LEJR
procedure took place at the CJR participant hospital. Including the
BPCI LEJR episodes from the historical data used to calculate the
hospital-specific component of target prices would parallel the
previously discussed approach to include BPCI LEJR episodes in the
regional component of target prices. Again, as previously discussed for
the regional component of target prices, we would not apply the BPCI
discount factor to claim payments nor include BPCI reconciliation or
repayments for the hospital-specific component of target prices.
Final Decision: After consideration of the public comments we
received, we are modifying our proposal to update historical episode
payments for ongoing payment system updates so as to include in the
definition of ``CJR eligible hospitals'' that are participants in BPCI
Model 1 or in the risk bearing period of Models 2 or 4 for LEJR
episodes, and rename ``CJR eligible hospitals'' to be ``CJR regional
hospitals.'' We are also finalizing a modification to how we calculate
update factors to more accurately capture payment system rate changes
throughout the calendar year for inpatient acute, IRF, and SNF
services. The modification is reflected in III.C.4.b.(4)(a),
III.C.4.b.(4)(c), and III.C.4.b.(4)(d) of this final rule.
(a) Inpatient Acute Services Update Factor
The proposed inpatient acute services update factor would apply to
payments for services included in the episode paid under the IPPS. This
would include payments for the CJR anchor hospitalization and related
readmissions at hospitals paid under IPPS, but not payments for related
readmissions at CAHs during the episode window. Payments for related
readmissions at CAHs would be captured under the update factor for
other services in section III.C.4.b.(4)(f) of the proposed rule.
The update factor applied to the inpatient acute services component
of each participant hospital and region's historical average episode
payments would be based on how inputs for the Medicare IPPS have
changed between the latest year used in the historical 3 years of
episodes and the upcoming performance period under CJR. We proposed to
use changes in the following IPPS inputs to calculate the inpatient
acute services update factor: IPPS base rate and average of MS-DRG
weights, as defined in the IPPS/LTCH Final Rules for the relevant
years. The average MS-DRG weight would be specific to each participant
hospital and region to account for hospital and region-specific
inpatient acute service utilization patterns. Hospital-specific and
region-specific average MS-DRG weights would be calculated by averaging
the MS-DRG weight for all the IPPS MS-DRGs included in the historical
episodes attributed to each participant hospital and attributed to CJR
eligible hospitals in the region, respectively; including MS-DRGs for
anchor admissions as well as those for subsequent readmissions that
fall within the episode definition. Expressed as a ratio, the inpatient
acute services adjustment factor would equal the following:
The numerator is based on values applicable for the
upcoming performance period (PP) for which a target price is being
calculated.
[[Page 73345]]
The denominator is based on a blend of values applicable
in the latest of the 3 historical years used in the target price (TP)
calculations, weighted to account for the values applicable prior to
October 1, and values applicable starting October 1 when IPPS updates
for the new fiscal year are in effect. Note that this weighting
incorporates a modification to our proposed methodology for calculating
update factors, as previously discussed in section III.C.4.(b)(4) of
this final rule.
Therefore, the inpatient acute services update factor formula is
shown as--
[GRAPHIC] [TIFF OMITTED] TR24NO15.003
(b) Physician Services Update Factor
The proposed physician services update factor would apply to
payments for services included in the episode paid under the MPFS for
physician services. We proposed to use changes in the following MPFS
inputs to calculate the physician services update factor of each
participant hospital and region's historical average episode payments:
RVUs; work, practice expense, and malpractice (MP) liability geographic
practice cost indices (GPCIs); and national conversion factor, as
defined in the MPFS Final Rule for the relevant years. Hospital-
specific and region-specific RVU-weighted GPCIs would be calculated to
account for hospital and region-specific physician service utilization
patterns. Hospital-specific and region-specific RVU-weighted GPCIs
would be calculated by taking the proportion of RVUs for work, practice
expense, and MP liability for physician services included in the
historical episodes and attributed to each participant hospital and
attributed to CJR eligible hospitals in the region, respectively, and
multiplying each proportion by the relevant GPCI.
Expressed as a ratio, the physician services update factor would
equal the following:
The numerator is based on GPCI values applicable for the
upcoming performance period (PP) for which a target price is being
calculated.
The denominator is based on GPCI values applicable at the
end of the latest of the 3 historical years used in the target price
(TP) calculations.
Therefore, the proposed physician services update factor formula is
shown as--
[GRAPHIC] [TIFF OMITTED] TR24NO15.004
(c) IRF Services Update Factor
The proposed IRF services update factor applies to payments for
services included in the episode paid under the Medicare inpatient
rehabilitation facility prospective payment system (IRF PPS). We
proposed to use changes in the IRF Standard Payment Conversion Factor,
an input for the IRF PPS and defined in the IRF PPS Final Rule for the
relevant years, to update Medicare payments for IRF services provided
in the episode. The IRF Standard Payment Conversion Factor is the same
for all IRFs and IRF services, so there is no need to account for any
hospital-specific or region-specific IRF utilization patterns; each
participant hospital and region would use the same IRF services update
factor.
Expressed as a ratio, the IRF PPS update factor would equal the
following:
The numerator is based on values applicable for the
upcoming performance period (PP) for which a target price is being
calculated.
The denominator is based on a blend of values applicable
in the latest of the 3 historical years used in the target price (TP)
calculations, weighted to account for the values applicable prior to
October 1, and values applicable starting October 1 when IRF PPS
updates for the new fiscal year are in effect. Note that this weighting
incorporates a modification to our proposed methodology for calculating
update factors, as previously discussed in section III.C.4.(b)(4) of
this final rule.
Therefore, the IRF services update factor formula is shown as--
[GRAPHIC] [TIFF OMITTED] TR24NO15.005
(d) SNF Services Update Factor
The proposed SNF services update factor would apply to payments for
services included in the episode and paid under the SNF PPS, including
payments for SNF swing bed services. The update factor applied to the
SNF services component of each participant hospital and region's
historical average episode payments would be based on how average
Resource Utilization Group (RUG-IV) Case-Mix Adjusted Federal Rates for
the Medicare SNF PPS (defined in the SNF PPS Final Rule) have changed
between the latest year used in the historical 3 years of episodes and
the upcoming performance period under CJR. The average RUG-IV Case-Mix
Adjusted Federal Rates would be specific to each participant hospital
and region to account for hospital and region-specific SNF service
utilization patterns. Hospital-specific and region-specific average
RUG-IV Case-Mix Adjusted Federal Rates would be calculated by averaging
the RUG-IV Case-Mix Adjusted Federal Rates for all SNF services
included in the historical episodes attributed to each participant
hospital and attributed to CJR eligible hospitals in the region,
respectively. We note that the RUG-IV Case-Mix Adjusted Federal Rate
may vary for the same RUG, depending on whether the SNF was categorized
as urban or rural.
Expressed as a ratio, the SNF services update factor would equal
the following:
The numerator is based on values applicable for the
upcoming
[[Page 73346]]
performance period (PP) for which a target price is being calculated.
The denominator is based on a blend of values applicable
in the latest of the 3 historical years used in the target price (TP)
calculations, weighted to account for values applicable prior to
October 1, and values applicable starting October 1 when SNF PPS
updates for the new fiscal year are in effect. Note that this weighting
incorporates a modification to our proposed methodology for calculating
update factors, as previously discussed in section III.C.4.(b)(4) of
this final rule.
Therefore, the SNF services update factor formula is shown as--
[GRAPHIC] [TIFF OMITTED] TR24NO15.006
(e) HHA Services Update Factor
The proposed HHA services update factor would apply to payments for
services included in the episode and paid under the HH PPS, but exclude
payments for Low Utilization Payment Adjustment (LUPA) claims (claims
with four or fewer home health visits) because they are paid
differently and would instead be captured in the update factor for
other services in section III.C.4.b.(f) of the proposed rule. The
update factor applied to the home health services component of each
participant hospital and region's historical average episode payments
would be based on how inputs for the Medicare HH PPS have changed
between the latest year used in the historical 3 years of episodes and
the upcoming performance period under CJR. We proposed to use changes
in the HH PPS base rate and average of home health resource group
(HHRG) case-mix weight, inputs for the HHA PPS and defined in the HHA
PPS Final Rule for the relevant years, to calculate the home health
services update factor. The average HHRG case-mix weights would be
specific to each participant hospital and region to account for
hospital and region-specific home health service utilization patterns.
Hospital-specific and region-specific HHA services update factors would
be calculated by averaging the HHRG case-mix weights for all home
health payments (excluding LUPA claims) included in the historical
episodes attributed to each participant hospital and attributed to CJR
eligible hospitals in the region, respectively.
Expressed as a ratio, the HHA adjustment factor would equal the
following:
The numerator is based on values applicable for the
upcoming performance period (PP) for which a target price is being
calculated.
The denominator is based on values applicable at the end
of the latest of the 3 historical years used in the target price (TP)
calculations.
Therefore, the proposed HHA services update factor formula is shown
as--
[GRAPHIC] [TIFF OMITTED] TR24NO15.007
(f) Other Services Update Factor
The other services update factor would apply to payments for
services included in the episode and not paid under the IPPS, MPFS, IRF
PPS, or HHA PPS (except for LUPA claims). This component would include
episode payments for home health LUPA claims and CJR related
readmissions at CAHs. For purposes of calculating the other services
update factor, we proposed to use the Medicare Economic Index (MEI), a
measure developed by CMS for measuring the inflation for goods and
services used in the provision of physician services.\28\ We would
calculate the other services update factor as the percent change in the
MEI between the latest year used in the TP calculation and its
projected value for the upcoming performance period. Because MEI is not
hospital or region-specific, each participant hospital and region would
use the same other services update factor.
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\28\ Medicare Market Basket Data. https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/MedicareProgramRatesStats/MarketBasketData.html.
---------------------------------------------------------------------------
(5) Blend Hospital-Specific and Regional Historical Data
We proposed to calculate CJR episode target prices using a blend of
hospital-specific and regional historical average CJR episode payments,
including CJR episode payments for all CJR eligible hospitals in the
same U.S. Census division as discussed further in section III.C.4.b.(6)
of the proposed rule. Specifically, we proposed to blend two-thirds of
the hospital-specific episode payments and one-third of the regional
episode payment to set a participant hospital's target price for the
first 2-performance years of the CJR model (CY 2016 and CY 2017). For
performance year 3 of the model (CY 2018), we proposed to adjust the
proportion of the hospital-specific and regional episode payments used
to calculate the episode target price from two-thirds hospital-specific
and one-third regional to one-third hospital-specific and two-thirds
regional. Finally, we proposed to use only regional historical CJR
episode payments for performance years 4 and 5 of the model (CY 2019
and CY 2020) to set a participant hospital's target price, rather than
a blend between the hospital-specific and regional episode payments.
The specific order of steps, and how this step fits in with others, is
discussed further in section III.C.4.c. of the proposed rule. We
welcome comment on the appropriate blend between hospital-specific and
regional episode payments and the change in that blend over time.
We considered establishing episode target prices using only
historical CJR hospital-specific episode payments for all 5 performance
years of the model (that is, episode payments for episodes attributed
to the participant hospital, as previously described in section
III.C.2. of the proposed rule). Using hospital-specific historical
episodes may be appropriate in other models such as BPCI Model 2 where
participation is voluntary and setting a region-wide target price could
lead to a pattern of selective participation in which inefficient
providers decline to participate, undermining the model's ability to
improve the efficiency and quality of care delivered by those
providers, while already-efficient providers receive windfall gains
even if they do not further improve efficiency. Because CJR model
participants will be required to participate in the model,
[[Page 73347]]
solely using hospital-specific historical episode data is not necessary
to avoid this potential concern. Furthermore, using only hospital-
specific historical CJR episode payments may provide little incentive
for hospitals that already cost-efficiently deliver high quality care
to maintain or further improve such care. These hospitals could receive
a relatively low target price because of their historical performance
but have fewer opportunities for achieving additional efficiency under
CJR. They would not receive reconciliation payments for maintaining
high quality and efficiency, while other hospitals that were less
efficient would receive reconciliation payments for improving, even if
the less historically efficient hospitals did not reach the same level
of high quality and efficiency as the more historically efficient
hospitals. Using only hospital-specific historical CJR episode payments
may also not be sufficient to curb inefficient care or overprovision of
services for hospitals with historically high CJR episode payments. In
such instances, using hospital-specific historical episode payments for
the CJR model could result in Medicare continuing to pay an excessive
amount for episodes of care provided by inefficient hospitals, and
inefficient hospitals would stand to benefit from making only small
improvements. Thus, we did not propose to set target prices based
solely on hospital-specific data for any performance years of the
model.
We considered establishing the episode target price using only
historical CJR regional episode payments for all 5 performance years of
the model. Though regional target pricing would reward the most
efficient hospitals for continuing to provide high quality and cost
efficient care, we are concerned about providing achievable incentives
under the model for hospitals with high historical CJR average episode
payments. We stated in the proposed rule our belief that a lower
regional price for such hospitals would leave them with little
financial incentive in performance year 1, especially without any
responsibility to repay payments in excess of the target price as
described in section III.C.3. of the proposed rule. Thus, we did not
propose to set target prices solely on regional data for the entire
duration of the model.
Therefore, we proposed initially to blend historical hospital-
specific and regional-historical episode payments and then transition
to using regional-only historical episode payments in establishing
target prices to afford early and continuing incentives for both
historically efficient and less efficient hospitals to furnish high
quality, efficient care in all years of the model. Our proposal more
heavily weights a hospital's historical episode data in the first 2
years of the model (two-thirds hospital-specific, one-third regional),
providing a reasonable incentive for both currently efficient and less
efficient hospitals to deliver high quality and efficient care in the
early stages of model implementation. Beginning in performance year 3,
once hospitals have engaged in care redesign and adapted to the model
parameters, we proposed to shift to a more heavily weighted regional
contribution (one-third hospital-specific, two-thirds regional in
performance year 3) and ultimately to a regional target price for
performance years 4 and 5. We stated in the proposed rule our belief
that by performance year 4, setting target prices based solely on
regional historical data would be feasible because hospitals would have
had 3 years under this model to more efficiently deliver high quality
care, thereby reducing some of the variation across hospitals. We
stated in the proposed rule our belief that transitioning to regional
only pricing in the latter years of the model would provide important
information about the reduction in unnecessary variation in LEJR
episode utilization patterns within a region that can be achieved.
We stated in the proposed rule our belief that transitioning to
regional-only pricing in the latter years of the model may provide
valuable information regarding potential pricing strategies for
successful episode payment models that we may consider for expansion in
the future. As discussed previously, substantial regional and hospital-
specific variation in Medicare LEJR episode spending currently exists
for beneficiaries with similar demographic and health status, so we are
proposing that the early CJR model years will more heavily weight
historical hospital-specific experience in pricing episode for a
participant hospital. Once the hospital has substantial experience with
care redesign, we expect that unnecessary hospital-specific variation
in episode spending will be minimized so that regional-only pricing
would be appropriate as we have proposed. We noted that, like episode
payment under the CJR model, Medicare's current payment systems make
payments for bundles of items and services, although of various
breadths and sizes depending on the specific payment system. For
example, the IPPS pays a single payment, based on national prices with
geography-specific labor cost adjustments, for all hospital services
furnished during an inpatient hospitalization, such as nursing
services, medications, medical equipment, operating room suites, etc.
Under the IPPS, the national pricing approach incentivizes efficiencies
and has, therefore, led to a substantial reduction in unnecessary
hospital-specific variation in resource utilization for an inpatient
hospitalization. On the other hand, the episode payment approach being
tested under BPCI Model 2 relies solely on provider-specific pricing
over the lifetime of the model, assuming the number of episode cases is
sufficient to establish a reliable episode price, an approach that has
potential limitations were expansion to be considered. Thus, we stated
in the proposed rule our belief that our proposal for CJR will provide
new, important information regarding pricing for even larger and
broader bundles of services once unnecessary provider-specific
variation has been minimized that would supplement our experience with
patterns and pricing under existing payment systems and other episode
payment models. We expect that testing of CJR will contribute further
information about efficient Medicare pricing strategies that result in
appropriate payment for providers' resources required to furnish high
quality, efficient care to beneficiaries who receive LEJR procedures.
This is essential information for any consideration of episode payment
model expansion, including nationally, in the future, where
operationally feasible and appropriate pricing strategies, including
provider-specific, regional, and national pricing approaches would need
to be considered.
We proposed an exception to the blended hospital-specific and
regional pricing approach for hospitals with low historical CJR episode
volume. We proposed to define hospitals with low CJR episode volume as
those with fewer than 20 CJR episodes in total across the 3-historical-
years used to calculate target prices. We stated in the proposed rule
our belief that calculating the hospital-specific component of the
blended target price for these historically low CJR episode volume
hospitals may be subject to a high degree of statistical variation.
Therefore, for each performance year, we proposed to use 100 percent
regional target pricing for participant hospitals who have fewer than
twenty historical CJR episodes in the 3-historical-years used to
calculate target prices, as described in section III.C.4.b.(2) of the
proposed rule. We note that the 3-historical-years used
[[Page 73348]]
to calculate target prices would change over the course of the model,
as described in section III.C.4.b.(2) of the proposed rule, and when
that happens, the twenty episode threshold would be applied to the new
set of historical years. If all IPPS hospitals nationally participated
(for estimation purposes, only) in CJR, we estimate about 5 percent of
hospitals would be affected by this proposed low historical CJR episode
volume provision.\29\ A minimum threshold of twenty episodes is almost
equal to the minimum number of admissions required in the Medicare
HRRP. HRRP payment adjustment factors are, in part, determined by
procedure/condition-specific readmission rates for a hospital. HRRP
requires at least 25 procedure/condition-specific admissions to
calculate the procedure/condition-specific readmission rate and to be
included in the hospital's overall HRRP payment adjustment factor.
Though the proposed minimum threshold of twenty episodes is slightly
less than the 25 admissions required for HRRP, we stated in the
proposed rule our belief that because we would not be calculating
infrequent events such as readmissions, we can achieve a stable price
with slightly fewer episodes.
---------------------------------------------------------------------------
\29\ Medicare FFS Parts A and B claims, CJR episodes, as
proposed in this rule, between October 2013 and September 2014.
---------------------------------------------------------------------------
We also proposed an exception to the blended hospital-specific and
regional pricing approach for participant hospitals that received new
CCNs during the 24 months prior to the beginning of, or during, the
performance year for which target prices are being calculated. These
participant hospitals with new CCNs may have formed due to a merger
between or split from previously existing hospitals, or may be new
hospitals altogether. As a general principle, we aim to incorporate
into the target prices all the historical episodes that would represent
our best estimate of CJR historical payments for these participant
hospitals with new CCNs. For participant hospitals with new CCNs that
formed from a merger between or split from previously existing
hospitals, we proposed to calculate hospital-specific historical
payments using the episodes attributed to the previously existing
hospitals. These hospital-specific historical payments would then be
blended with the regional historical payments according to the approach
previously described in this section. For participant hospitals with
new CCNs that are new hospitals altogether, we proposed to use the
approach previously described in this section for hospitals with fewer
than 20 CJR episodes across the 3-historical-years used to calculate
target prices. In other cases, due to an organizational change a
hospital may experience a change to an already existing CCN during the
24 months prior to the beginning of, or during, the performance year
for which target prices are being calculated. For example, one hospital
with a CCN may merge with a second hospital assigned a different CCN,
and both hospitals would then be identified under the single CCN of the
second hospital. While there may be more than 20 CJR episodes under the
second hospital's CCN in total across the 3-historical-years used to
calculate target prices, in this scenario our use of only those cases
under the second hospital's CCN in calculating hospital-specific
historical payments would fail to meet our general principle of
incorporating into target prices all the historical episodes that would
represent our best estimate of CJR historical payments for these now
merged hospitals. In this scenario, we proposed to calculate hospital-
specific payments for the remaining single CCN (originally assigned to
the second hospital only) using the historical episodes attributed to
both previously existing hospitals. These hospital-specific historical
payments would then be blended with the regional historical payments
according to the approach previously described in this section in order
to determine the episode price for the merged hospitals bearing a
single CCN.
We sought comment on this proposed approach for blending hospital-
specific and regional historical payments.
The following is a summary of the comments received and our
responses.
Comment: Many commenters supported the proposal to blend hospital-
specific and regional historical episode data to calculate target
prices. They explained that this balanced the incentivizes for already
efficient hospitals to continue great performance, and allowed
hospitals with historically high episode expenditures sufficient time
to create care pathways and implement practice pattern changes before
getting to 100 percent regional pricing in years 4 and 5 of the CJR
model. Some other commenters recommended for hospital-specific pricing
only because any definition of region would not properly account for
variations due to factors such as patient characteristics,
socioeconomic factors, and access to care.
Some commenters recommended that instead of blending regional and
hospital-specific historical average CJR episode payments, we use the
higher of the two to reward hospitals that are already efficient.
Some commenters recommended that we delay the transition to
regional pricing in order to afford more time for hospitals with high
historic episode expenditures, some commenters supported our proposal
to get to 100 percent regional pricing by year 4, and some others
recommended that we accelerate the transition to regional pricing to
appropriately reward already efficient participant hospitals.
Response: We appreciate commenters' support for blending hospital-
specific and regional historical episode data to calculate target
prices. We appreciate that the pace of transitioning to regional
pricing may benefit some participant hospitals more than others.
However, we believe that the proposed approach to get to 100 percent
regional pricing by year 4 strikes an appropriate balance between
providing participant hospitals time to adapt while providing important
information about the reduction in unnecessary variation in LEJR
episode utilization patterns within a region that can be achieved.
We believe that only using hospital-specific pricing would not
reward already efficient participant hospitals for maintaining high
performance; participant hospitals that are already delivering
efficient and high quality care would find it challenging to improve
upon their own historical performance in order to qualify for
reconciliation payments. Similarly, we believe that using the higher of
regional and hospital-specific prices would not sufficiently
incentivize inefficient participant hospitals to become more efficient;
participant hospitals that have historically high episode expenditures
would have less of an incentive to become significantly more efficient
over the course of the model if they can qualify for reconciliation
payments by improving only slightly relative to their own historical
performance, while still being less efficient than their regional
peers.
We acknowledge the importance of properly accounting for variations
in patient-specific clinical characteristics, socioeconomic conditions,
and access to care to appropriately incentivize participant hospitals
to deliver high quality and efficient care. We refer readers to
response to comments in section III.C.4.b.(1) of this final rule for
further discussion on risk stratification to account for such
variations. We also acknowledge that incorporating a regional component
of historical episode data into a participant hospital's target prices
may increase the presence of the variations as
[[Page 73349]]
commenters stated, thereby making appropriate risk adjustment and/or
risk stratification that much more important. As discussed in the
response to comments in section III.C.4.b.(1) of this final rule, we
will risk stratify based on anchor MS-DRG and hip fracture status, and
we may explore more comprehensive risk adjustment approaches.
Comment: Several commenters recommended modifying the definition of
low volume as it is used to determine which participant hospitals
receive 100 percent regional target prices because they do not have a
sufficient number of CJR episodes in the 3-historical-years of data
used to calculate target prices. Commenters suggested increasing the
low volume threshold for hospital-specific and regional target pricing
from 20 to, for example, 100 episodes, because 20 episodes was not
sufficient to remove random variation.
Response: We agree with commenters that a greater number of
participant hospital-specific episodes would better remove the effects
of random variation. However, if we increase the low volume threshold
for blending hospital-specific and regional target prices, more
participant hospitals would receive 100 percent regional prices in the
first three performance years of the model, and their target prices
would not incorporate any data from hospital-specific historical
experience. Let us take as an example a participant hospital that has
50 episodes in the 3-historical-years of data used to calculate target
prices for performance year 1, and let us assume that the hospital-
specific portion of its target price is higher than the regional
component. This participant hospital would need to become more
efficient so as to achieve actual episode expenditures below its target
prices. By blending the hospital-specific and regional components of
the target price, this hospital has a higher target price than it would
have had it received a 100 percent regional price. With the higher
target price, the participant hospital has a greater opportunity to
improve its efficiency and qualify for reconciliation payments. The
blending of regional and hospital-specific target prices affords
historically less efficient hospitals an opportunity to be rewarded for
improvement in the earlier performance years, while they prepare for
transitioning to 100 percent regional pricing by performance year 4. We
want to afford this transition opportunity to as many participant
hospitals as possible, while minimizing the effect of random variations
for hospitals with few historical episodes. In the proposed rule, we
compared our proposed low volume threshold of 20 episodes to the
threshold used for Medicare's HRRP program. We continue to believe that
20 episodes in the 3-historical-years of data used to calculate target
prices is the appropriate ``low volume'' threshold for blending target
prices that mitigates effects of random variation while still
incorporating hospital-specific historical experience and affording
participant hospitals an opportunity to transition to 100 percent
regional pricing.
Final Decision: After consideration of the public comments we
received, we are finalizing the proposal to blend hospital-specific and
regional historical expenditures in setting target prices, though we
note that the term ``CJR eligible hospitals' is being renamed to ``CJR
regional hospitals'' as discussed in response to comments in section
III.C.4.b.(4) of this final rule.
(6) Define Regions as U.S. Census Divisions
In all 5 performance years we proposed to define ``region'' as one
of the nine U.S. Census divisions \30\ in Figure 3.
---------------------------------------------------------------------------
\30\ There are four census regions--Northeast, Midwest, South,
and West. Each of the four census regions is divided into two or
more ``census divisions''.''. Source: https://www.census.gov/geo/reference/gtc/gtc_census_divreg.html.. Accessed on April 15, 2015.
[GRAPHIC] [TIFF OMITTED] TR24NO15.008
[[Page 73350]]
We considered using states, HRRs, and the entire U.S. as
alternative options to U.S. Census divisions in defining the region
used in blending provider-specific and regional historical episode data
for calculating target prices. However, HRR definitions are
specifically based on referrals for cardiovascular surgical procedures
and neurosurgery, and may not reflect referral patterns for orthopedic
procedures. Using the entire U.S. would not account for substantial
current regional variation in utilization, which is significant for
episodes that often involve PAC use, such as LEJR procedures.\32\
Finally, we considered using states as regions but were concerned that
doing so would not allow for sufficient LEJR episode volume to set
stable regional components of target prices, especially for participant
hospitals in small states. We believe U.S. Census divisions provide the
most appropriate balance between very large areas with highly disparate
utilization patterns and very small areas that would be subject to
price distortions due to low volume or hospital-specific utilization
patterns.
---------------------------------------------------------------------------
\31\ https://www.eia.gov/consumption/commercial/census_maps.cfm.
\32\ Hussey PS, Huckfeldt P, Hirshman S, Mehrotra A. Hospital
and regional variation in Medicare payment for inpatient episodes of
care [published online April 13, 2015]. JAMA Intern Med.
doi:10.1001/jamainternmed.2015.0674.
---------------------------------------------------------------------------
We sought comment on our proposal to define a region as the U.S.
Census division for purposes of the regional component of blended
target prices under CJR.
The following is a summary of the comments received and our
responses.
Comment: Some commenters supported the use of U.S. Census divisions
as regions. Some commenters, though, stated U.S. Census divisions are
too large with significant practice and PAC access variations,
resulting in different average historical expenditures across hospitals
in the same U.S. Census division. Some commenters suggested an
alternative of using MSAs as regions; MSAs would align with the
provider selection process, and the smaller unit for regions would
better capture regional practice pattern differences. Other commenters,
including MedPAC, stated that we should define the entire nation as the
region (that is, national pricing) because we should be striving
towards eliminating regional variations in practice patterns.
Response: We appreciate commenters' support for the use of U.S.
Census divisions as regions. Especially given that commenters proposed
both larger regions (that is, national pricing) and smaller regions
(that is, MSAs), we still believe U.S. Census divisions provide the
most appropriate balance between very large areas with highly disparate
utilization patterns and very small areas that would be subject to
price distortions due to low volume or hospital specific utilization
patterns.
Comment: Several commenters noted that some of the selected MSAs
for participation in CJR span two different U.S. Census divisions.
These commenters stated that the true cost for hospitals in the same
MSA would likely not be different, and significant differences in
pricing would create unfair market advantages due to a hospital's
address within an MSA. They suggested blending the regional target
price component of the two U.S. Census divisions that are being spanned
for each of these MSAs, reflecting the distribution of the population
within the MSA/census regions.
Response: We agree with commenters that the true cost for hospitals
in the same MSA may not be different, and significant differences in
pricing may create unfair market advantages due to a hospital's address
within an MSA. We will modify our proposal and apply the same regional
target price component to target pricing for all participant hospitals
within an MSA, even if the MSA spans two U.S. Census divisions. There
are three selected MSAs for participation in CJR that span two U.S.
Census divisions: St. Louis, Cincinnati, and Cape Girardeau.
We considered the approach suggested by commenters--blending the
two regional target price components based on the population
distribution. However, using 2010 U.S. Census data, we determined that
at least 75 percent of the population in the previously mentioned MSAs
resides in just one of the U.S. Census divisions that the MSA spans.
For simplicity, we will completely group MSAs that span U.S. Census
divisions together with the U.S. Census divisions in which the Census
estimates the majority of people reside, as shown in Table 9:
Table 9--Region Grouping for Selected MSAS That Span U.S. Census Divisions
----------------------------------------------------------------------------------------------------------------
Original U.S. Census divisions
MSA spanned by MSA (state U.S. Census division used for CJR
included in MSA) region
----------------------------------------------------------------------------------------------------------------
St. Louis, MO[dash]IL................. West North Central (MO), East West North Central.
North Central (IL).
Cincinnati, OH[dash]KY[dash]IN........ East North Central (OH, IN), East North Central.
East South Central (KY).
Cape Girardeau, MO[dash]IL............ West North Central (MO), East West North Central.
North Central (IL).
----------------------------------------------------------------------------------------------------------------
Final Decision: After consideration of the public comments we
received, we are modifying our proposal to define regions as U.S.
Census divisions so as to ascribe the same regional component of target
prices for participant hospitals in MSAs that span U.S. Census
divisions. Specifically, as described in Table 9, selected MSAs that
span U.S. Census divisions will be attributed to one U.S. Census
division for purposes of calculating the regional component of CJR
target prices.
(7) Normalize for Provider-Specific Wage Adjustment Variations
We note that some variation in historical CJR episode payments
across hospitals in a region may be due to wage adjustment differences
in Medicare's payments. In setting Medicare payment rates, Medicare
typically adjusts facilities' costs attributable to wages and wage-
related costs (as estimated by the Secretary from time to time) by a
factor (established by the Secretary) reflecting the relative wage
level in the geographic area of the facility or practitioner (or the
beneficiary residence, in the case of home health and hospice services)
compared to a national average wage level. Such adjustments are
essential for setting accurate payments, as wage levels vary
significantly across geographic areas of the country. However, having
the wage level for one hospital influence the regional-component of
hospital-specific and regional blended target prices for another
hospital with a different wage level would introduce unintended pricing
distortions not based on utilization pattern differences.
[[Page 73351]]
In order to preserve how wage levels affect provider payment
amounts, while minimizing the distortions introduced when calculating
the regional-component of blended target prices, we proposed to
normalize for wage index differences in historical episode payments
when calculating and blending the regional and hospital-specific
components of blended target prices. Calculating blended target prices
from historical CJR episodes would help ensure we incentivize hospitals
based on historical utilization and practice patterns, not Medicare
payment system rate changes that are beyond hospitals' control.
We proposed to normalize for provider-specific wage index
variations using the IPPS wage index applicable to the anchor
hospitalization (that is, the IPPS wage index used in the calculation
of the IPPS payment for the anchor hospitalization). The anchor
hospitalization accounts for approximately 50 percent of the total
episode expenditures, and the IPPS wage index is applied to IPPS
payments in a similar manner as wage indices for other Medicare payment
systems are applied to their respective payments.\33\ Therefore, we
proposed that the IPPS wage index applicable to the anchor
hospitalization for each historical episode be used to normalize for
wage index variations in historical episode payments across hospitals
when calculating blended target prices. We proposed to specifically
perform this normalization using the wage normalization factor (0.7 *
IPPS wage index + 0.3) to adjust the labor-related portion of payments
affected by wage indices. The 0.7 approximates the labor share in IPPS,
IRF PPS, SNF, and HHA Medicare payments. We would normalize for
provider-specific wage index variations by dividing a hospital's
historical episode payments by the wage normalization factor.
---------------------------------------------------------------------------
\33\ Medicare FFS Parts A and B claims, CJR episodes, as
proposed in this rule, between October 2013 and September 2014.
---------------------------------------------------------------------------
We proposed to reintroduce the hospital-specific wage variations by
multiplying episode payments by the wage normalization factor when
calculating the target prices for each participant hospital, as
described in section III.C.4.c. of the proposed rule. When
reintroducing the hospital-specific wage variations, the IPPS wage
index would be the one that applies to the hospital during the period
for which target prices are being calculated (for example, FY 2016 wage
indices for the target price calculations for episodes that begin
between January 1 and September 30, 2016). The specific order of steps,
and how this step fits in with others, is discussed further in section
III.C.4.c. of the proposed rule. We sought comment on our proposal to
normalize for wage index differences using participant hospitals' wage
indices in order to calculate blended target prices.
The following is a summary of the comments received and our
responses.
Comment: Commenters emphasized the need to account for wage index
differences. Not accounting for these differences accurately may
unfairly disadvantage some hospitals. Some commenters expressed concern
about using 0.7 as the labor share for the labor related portions of
Medicare FFS payments; the weight index weight varies by Medicare FFS
payment system, and in IPPS in particular, the weight can be either
0.688 or 0.620, depending on the IPPS hospital's wage index. Some other
commenters noted that using only the IPPS wage index for the anchor
hospital would not accurately normalize expenditures for PAC providers
who have their own wage indices. Some of these commenters recommended
we blend hospital and PAC providers' wage indices. Some commenters
requested clarification on how we would account for wage index
differences between baseline and performance periods.
Response: We acknowledge the need to accurately account for wage
index differences so that we incentivize based on practice patterns and
not Medicare FFS fee schedule differences. We recognize that the
proposed approach of using the anchor hospital's wage index and 0.7 as
the labor share for the labor related portions of Medicare FFS payments
would only approximately normalize and reapply wage indices.
In response to commenters, we will modify our proposal and
normalize for wage indices at the claim level for both historical
episode expenditures and actual episode expenditures in each
performance year by using the wage index normalization algorithm
included in the CMS Price (Payment) Standardization Detailed
Methodology discussed in section III.C.3 of this final rule, the same
methodology we finalized to exclude the various special payment
provisions in calculating episode expenditures. By normalizing claims
for wage indices in the historical episode expenditure data at the
claim level, we will accurately account for wage indices and labor
shares for various providers and suppliers under the different Medicare
FFS payment systems. This will be a more accurate way than what we
proposed to achieve the same goal of accounting for wage index
differences so that we incentivize based on practice patterns and not
Medicare FFS wage adjustment differences. We will also normalize claims
for wage indices in performance year data, as we discuss further in
response to comments in section III.C.6.a. of this final rule.
We believe it is still important to reintroduce wage index
variations near the end of the target price calculation methodology.
Participant hospitals may use their reconciliation payments to invest
in care coordination or care delivery infrastructure, and we expect
that the costs for such investments would vary by geography due to
differences in local wages. For example, we expect that hiring a care
coordinator would cost a participant hospital more in the New York
metro region than in a rural part of New Mexico. If we do not
reintroduce wage index variations into target price calculations, we
would calculate reconciliation and repayment amounts that would not
capture labor cost variation throughout the country, and participant
hospitals in higher labor cost regions may see relatively less
financial incentive to invest in improved care quality and efficiency.
We intend to incentivize all hospitals to reduce episode spending under
the CJR model, regardless of local labor cost variations.
We will use the proposed approach to reintroduce wage index
variations--apply the participant hospital's wage index to episode
spending, using 0.7 as the labor share. While commenters are correct
that the IPPS labor share can be 0.688 or 0.620, depending on the
participant hospital's wage index, the labor share for PAC providers
also varies across Medicare FFS payment systems: ~0.695 for SNF PPS and
IRF PPS, and ~0.785 for HH PPS. Given this range for the labor share
across Medicare FFS payment systems, we believe that using 0.7 is an
appropriate estimate of the labor share for reintroducing wage index
variations. Additionally, as commenters pointed out, PAC providers have
their own wage indices. Because wage index variations are reintroduced
near the end of the target price calculation methodology and after
other features, such as blending, pooling, and update factors are
applied, we do not believe there is a simple approach to reintroduce
wage index variations at the claim level. We acknowledge that using the
participant hospital's wage index and 0.7 as the labor share would only
be an approximation of the wage index variations, but this
approximation would not change whether a participant hospital qualifies
for reconciliation
[[Page 73352]]
payments or is obligated to repay Medicare because we would apply wage
index normalization at the claim level for both target price
calculations (as previously discussed) as well as calculations of
actual episode spending (as discussed in response to comments in
section III.C.6.a. of this final rule), and the wage index variation
would be reintroduced in the same manner to both target price
calculations (as previously discussed) and actual episode spending
calculations (as discussed in response to comments in section
III.C.6.a. of this final rule). We believe that this approach to
reintroducing wage index variations is sufficient to modulate the
reconciliation and repayment amounts to reflect local labor cost
variations.
Final Decision: After consideration of the public comments we
received, we are modifying our proposal so as to normalize for wage
indices at the claim level by using the wage index normalization
algorithm included in the CMS Price (Payment) Standardization Detailed
Methodology discussed in section III.C.3., the same claim-level
standardization methodology we finalized in section III.C.3.a. to
exclude the various special payment provisions in calculating episode
expenditures. We are finalizing the proposal to reintroduce wage index
differences into calculations of historical and actual episode spending
based on the participant hospital's wage index and 0.7 as the labor
cost share.
(8) Combination of CJR Episodes Anchored by MS-DRGs 469 and 470
We proposed to pool together CJR episodes anchored by MS-DRGs 469
and 470 for target price calculations to use a greater historical CJR
episode volume and set more stable target prices. We note that we would
still calculate separate target prices for episodes anchored by MS-DRGs
469 versus 470, described later in this section.
To pool together MS-DRG 469 and 470 anchored episodes, we proposed
to use an anchor factor and hospital weights. The anchor factor would
equal the ratio of national average historical MS-DRG 469 anchored
episode payments to national average historical MS-DRG 470 anchored
episode payments. The national average would be based on episodes
attributed to any CJR eligible hospital. The resulting anchor factor
would be the same for all participant hospitals. For each participant
hospital, a hospital weight would be calculated using the following
formula, where episode counts are participant hospital-specific and
based on the episodes in the 3-historical-years used in target price
calculations:
[GRAPHIC] [TIFF OMITTED] TR24NO15.009
A hospital-specific pooled historical average episode payment would
be calculated by multiplying the hospital's hospital weight by its
combined historical average episode payment (sum of MS-DRG 469 and 470
anchored historical episode payments divided by the number of MS-DRG
469 and 470 historical episodes).
The calculation of the hospital weights and the hospital-specific
pooled historical average episode payments would be comparable to how
case mix indices are used to generate case mix-adjusted Medicare
payments. The hospital weight essentially would count each MS-DRG 469
triggered episode as more than one episode (assuming MS-DRG 469
anchored episodes have higher average payments than MS-DRG 470 anchored
episodes) so that the pooled historical average episode payment, and
subsequently the target price, is not skewed by the hospital's relative
breakdown of MS-DRG 469 versus 470 anchored historical episodes.
The hospital-specific pooled historical average payments would be
modified by blending and discount factors, as described in section
III.C.4.c. of the proposed rule. Afterwards, the hospital-specific
pooled calculations would be ``unpooled'' by setting the MS-DRG 470
anchored episode target price to the resulting calculations, and by
multiplying the resulting calculations by the anchor factor to produce
the MS-DRG 469 anchored target prices.
We would calculate region-specific weights and region-specific
pooled historical average payments following the same steps proposed
for hospital-specific weights and hospital-specific pooled average
payments. Instead of grouping episodes by the attributed hospital as is
proposed for hospital-specific calculations, region-specific
calculations would group together episodes that were attributed to any
CJR eligible hospital located within the region. The hospital-specific
and region-specific pooled historical average payments would be blended
together as discussed in section III.C.4.b.(3) of the proposed rule.
The specific order of steps, and how this step fits in with others, is
discussed further in section III.C.4.c. of the proposed rule.
We considered an alternative option of independently setting target
prices for MS-DRG 470 and 469 anchored episodes without pooling them.
However, hospital volume for MS-DRG 469 was substantially less than for
MS-DRG 470. In 2013 across all IPPS hospitals, there were more than 10
times as many MS-DRG 470 anchored episodes as compared to MS-DRG 469
anchored episodes.\34\ In the same analysis, the median number of
episodes for a hospital with at least 1 episode for the MS-DRG anchored
episode was more than 80 for MS-DRG 470 anchored episodes, though fewer
than 10 for MS-DRG 469 anchored episodes. Calculating target prices for
MS-DRG 469 anchored episodes separately for each participant hospital
may result in too few historical episodes to calculate reliable target
prices. We also considered pooling together MS-DRG 469 and 470 anchored
episodes without any anchor factor or hospital weights. However,
internal analyses suggest that average episode payments for these two
MS-DRG anchored episodes significantly differed; CJR episodes initiated
by MS-DRG 469 had payments almost twice as large as those initiated by
MS-DRG 470.\35\ This difference is reasonable given that Medicare IPPS
payments differ for MS-DRG 469 and 470 admissions, and inpatient
payments comprise approximately 50 percent of CJR episode payments.
Thus, pooling together MS-DRG 469 and 470 anchored episodes without any
anchor factor or hospital weights would introduce distortions due only
to case-mix differences.
---------------------------------------------------------------------------
\34\ Source: CCW Part A and Part B claims for CJR episodes
beginning in CY 2013.
\35\ Medicare FFS Parts A and B claims, CJR episodes, as
proposed in this rule, between October 2013 and September 2014.
---------------------------------------------------------------------------
The following is a summary of the comments received and our
responses.
[[Page 73353]]
Comment: Many commenters requested for risk adjustment based on
patients' hip fracture status, among other clinical and demographic
dimensions.
Response: We refer readers to comments and responses to comments in
section III.C.4.b.(1) of this final rule for further discussion on risk
stratification, and we reference it here because changes to risk
stratification would impact how we would combine CJR episodes anchored
by MS-DRGs 469 and 470. As discussed in the responses to comments in
section III.C.4.b.(1) of this final rule, we will modify our proposal
so as to risk stratify and set different target prices both for
episodes anchored by MS-DRG 469 vs. MS-DRG 470 and for episodes with
hip fractures vs. without hip fractures. To fully incorporate this
change, we will also modify the proposed approach to calculate anchor
factors and hospital and regional weights so as to apply them to four
groups of target prices, instead of two groups; otherwise, the approach
will be the same as proposed. Specifically, we will have three anchor
factors, instead of one:
[GRAPHIC] [TIFF OMITTED] TR24NO15.010
Additionally, hospital and regional weights will be calculated
using the following formula:
[GRAPHIC] [TIFF OMITTED] TR24NO15.011
Final Decision: After consideration of the public comments we
received, we are finalizing our proposal, with modification to
calculate anchor factors and hospital and regional weights while
incorporating the previously discussed changes to risk adjust not only
on anchor MS-DRG but also hip fracture status. Additionally, note that
the term ``CJR eligible hospitals'' is being renamed to ``CJR regional
hospitals'' as discussed in response to comments in section
III.C.4.b.(4) of this final rule.
(9) Discount Factor
When setting an episode target price for a participant hospital, we
proposed to apply a discount to a hospital's hospital-specific and
regional blended historical payments for a performance period to
establish the episode target price that would apply to the participant
hospital's CJR episodes during that performance period and for which
the hospital would be fully, or partly, accountable for episode
spending in relationship to the target price, as discussed in section
III.C.3. of the proposed rule. We expect participant hospitals to have
significant opportunity to improve the quality and efficiency of care
furnished during episodes in comparison with historical practice,
because this model would facilitate the alignment of financial
incentives among providers caring for beneficiaries throughout the
episode. This discount would serve as Medicare's portion of reduced
expenditures from the CJR episode, with any episode expenditure below
the target price potentially available as reconciliation payments to
the participant hospital where the anchor hospitalization occurred. We
proposed to apply a 2 percent discount for performance years 1 through
5 when setting the target price. We stated our belief in the proposed
rule that applying a 2 percent discount in setting the episode target
price allows Medicare to partake in some of the savings from the CJR
model, while leaving considerable opportunity for participant hospitals
to achieve further episode savings below the target price that they
would be paid as reconciliation payments, assuming they meet the
quality requirements as discussed in section III.C.5 of the proposed
rule.
The proposed 2 percent discount is similar to the range of the
discounts used for episodes in the ACE demonstration.\36\ In the
Medicare ACE,
[[Page 73354]]
a demonstration program that included orthopedic procedures such as
those included in CJR, participant hospitals negotiated with Medicare
discounts of 2.5 to 4.4 percent of all Part A orthopedic services and
0.0 to 4.4 percent of all Part B orthopedic services during the
inpatient stay (excluding PAC). Hospitals received the discounted
payment and reported that they were still able to achieve savings.\37\
We stated our belief in the proposed rule that there is similar, if not
potentially more, opportunity for savings in the CJR payment model
because it includes acute inpatient, as well as PAC, an area of episode
spending that accounts for approximately 25 percent of CJR episode
payments and exhibits more than 2 times the episode payment variation
\38\ than that of acute inpatient hospitalization.\39\ We stated in the
proposed rule our belief that with the proposed 2 percent discount,
participant hospitals have an opportunity to create savings for
themselves as well as Medicare, while also maintaining or improving
quality of care for beneficiaries.
---------------------------------------------------------------------------
\36\ IMPAQ International. Evaluation of the Medicare Acute Care
Episode (ACE) Demonstration: Final Evaluation Report. Columbia, MD:
IMPAQ International; May 2013. https://downloads.cms.gov/files/cmmi/ACE-EvaluationReport-Final-5-2-14.pdf. Accessed April 16, 2015.
\37\ IMPAQ International. Evaluation of the Medicare Acute Care
Episode (ACE) Demonstration: Final Evaluation Report. Columbia, MD:
IMPAQ International; May 2013. https://downloads.cms.gov/files/cmmi/ACE-EvaluationReport-Final-5-2-14.pdf. Accessed April 16, 2015.
\38\ Variation for purposes of this calculation refers to
standard deviation of inpatient and institutional post-acute episode
payments as a percentage of average inpatient and post-acute episode
payments, respectively.
\39\ Medicare FFS Parts A and B claims, CJR episodes, as
proposed in this rule, between October 2013 and September 2014.
---------------------------------------------------------------------------
The proposed 2 percent discount also matches the discount used in
the BPCI Model 2 90-day episodes, and is less than the discount used in
BPCI Model 2 30-day and 60-day episodes (3 percent). Hundreds of
current BPCI participants have elected to take on responsibility for
repayment in BPCI Model 2 with a 2 to 3 percent discount. Because many
BPCI participants volunteered to participate in a bundled payment model
with a discount, we stated in the proposed rule our belief that a
discount percent that is within, and especially a discount of 2 percent
that is at the lower end of, the BPCI discount range would allow CJR
participant hospitals to create savings for both themselves and
Medicare.
As stated previously in section III.C.3. of the proposed rule, we
proposed to phase in the financial responsibility of hospitals for
repayment of actual episode spending that exceeds the target price
starting in performance year 2. In order to help hospitals transition
to taking on this responsibility, we proposed to apply a reduced
discount of one percent in performance year 2 for purposes of
determining the hospital's responsibility for excess episode spending,
but maintain the 2 percent discount for purposes of determining the
hospital's opportunity to receive reconciliation payment for actual
episode spending below the target price. For example, under this
proposal in performance year 2, a hospital that achieves CJR actual
episode payments below a target price based on a 2 percent discount
would retain savings below the target price, assuming the quality
thresholds for reconciliation payment eligibility are met (discussed in
section III.C.5. of the proposed rule) and the proposed performance
year stop-gain limit (discussed in section III.C.8. of the proposed
rule) does not apply. Medicare would hold responsible for repayment
hospitals whose CJR actual episode payments exceed a target price based
on a one percent discount, assuming the proposed performance year 2
stop-loss limit (discussed in section III.C.8. of the proposed rule)
does not apply. Hospitals that achieve CJR actual episode payments
between a 2 percent-discounted target price and 1 percent-discounted
target price would neither receive reconciliation payments nor be held
responsible for repaying Medicare. The decision on which percent-
discounted target price applies will be made by evaluating actual
episode payments in aggregate after the completion of performance year
2, and the same percent-discounted target price would apply to all
episodes that are initiated in performance year 2. We proposed to apply
this reduced one percent discount for purposes of hospital repayment
responsibility only in performance year 2 and apply the 2 percent
discount for excess episode spending repayment responsibility for
performance years 3 through 5. Under this proposal, the discount for
determination of reconciliation payment for episode actual spending
below the target price would not deviate from 2 percent through
performance years 1 through 5.
In section III.C.5. of the proposed rule, we proposed voluntary
submission of data for a patient-reported outcome measure. We proposed
to incent participant hospitals to submit data on this measure by
reducing the discount percentage by 0.3 percentage points for
successfully submitting data, as defined in section III.D. of the
proposed rule. By successfully submitting data on this metric for
episodes ending in performance years 1, 2, 3, 4, and or 5, we would
adjust the discount percentage in the corresponding year(s) as follows:
For episodes beginning in performance year 2, set the
discount percentage in a range from 2 percent to 1.7 percent for
purposes of determining the hospital's opportunity to receive
reconciliation payment for actual episode spending below the target
price, and set the discount percentage in a range from 1 percent to 0.7
percent for purposes of determining the amount the hospital would be
responsible for repaying Medicare for actual episode spending above the
target price.
For episodes beginning in performance years 3 through 5,
set the discount percentage in a range from 2 percent to 1.7 percent
for purposes of reconciliation payment and Medicare repayment
calculations.
The determination of whether the hospital successfully submitted
data on the patient-reported outcome measure cannot be made until after
the performance year ends and data is reported. Therefore, participant
hospitals would be provided target prices for both scenarios whether
the successfully submit data or not and such determination will happen
at the time of payment reconciliation (discussed further in section
III.C.6. of the proposed rule).
We sought comment on our proposed discount percentage of 2 percent
for CJR episodes, our proposal to reduce the discount to 1 percent on a
limited basis in performance year 2, and our proposal to reduce the
discount by 0.3 percentage points for successfully reporting patient-
reported outcomes data in the corresponding year.
The following is a summary of the comments received and our
responses.
Comment: Many commenters expressed concern about participant
hospitals taking on financial risk in the CJR model. We refer readers
to comments in section III.C.2, of this final rule for more discussion
of such comments, and we reference them here because these comments may
impact how the proposed discount factor is used to phase in risk for
participant hospitals.
Response: As discussed in the responses to comments in section
III.C.2. of this final rule, we appreciate commenters' concerns about
participant hospitals' ability to manage risk. In the proposed rule, we
proposed to use several design elements to phase in risk to better help
transition participant hospitals. One of these design elements to phase
risk in was the use of a reduced discount factor by 1 percentage point
for
[[Page 73355]]
purposes of calculating repayment amounts in performance year 2, as
discussed earlier in this section. In response to commenters' concerns,
we will extend the use of a reduced discount factor for purposes of
calculating repayment amounts to apply not only in performance year 2,
but also in performance year 3.
Comment: Many commenters offered a variety of suggestions to CMS's
proposal and alternatives considered to link quality and payment in the
CJR model, including varying the discount percentage incorporated in
the target price at reconciliation based on the participant hospital's
quality performance. We refer readers to comments in section III.C.5 of
this final rule for greater discussion of comments on linking quality
and payment in the CJR mode.
Response: As discussed in the responses to comments later in this
final rule in section III.C.5. of this final rule, we are modifying the
proposed rule so as to use a composite score methodology to link
quality and payment in the CJR model. With this composite score
methodology, each hospital will receive a discount factor of 3 percent,
though the discount factor would be 2 percent for purposes of
calculating repayments to Medicare in performance years 2 and 3,
reflecting the proposed discount factor reduction by 1 percentage point
and the extension to performance year 3 of this reduction, to phase in
downside risk, as discussed in the previous response.
Each participant hospital may qualify for a quality incentive
payment. The quality incentive payment would not be a separate payment
stream, but rather it would alter a hospital's effective discount
factor used to calculate its target prices. Depending on a participant
hospital's quality performance, in performance years 1, 4, and 5, the
quality incentive payments could result in effective discount factors
ranging from 3 percent to 1.5 percent. In performance years 2 and 3,
the quality incentive payments could result in effective discount
factors for purposes of calculating reconciliation payments ranging
from 3 percent to 1.5 percent, and for purposes of calculating
repayment amounts from 2 percent to 0.5 percent. We note that the lower
effective discount factors for calculating repayment amounts in
performance years 2 and 3 reflect the reduction by 1 percentage point
in discount factor to phase in downside risk.
If hospitals' quality performance during the CJR model mirrors
historical quality performance, we expect the majority of the
participant hospitals to qualify for an effective discount factor of 2
percent each performance year for purposes of reconciliation payment
calculations, the same discount factor proposed for all participant
hospitals in the proposed rule. By using a range of discount factors,
we will offer more participant hospitals an opportunity to qualify for
reconciliation payments, and we will be able to better reward the
highest quality participant hospitals.
We refer readers to responses to comments in section III.C.5 of
this final rule for more details on quality incentive payments,
effective discount factors, the link between quality and payment, and
how participant hospitals may perform based on historical quality
performance.
Comment: Some commenters recommended that we not apply a discount
factor to any hospital because it would effectively function as a rate
cut for MS-DRGs 469 and 470. Some of these commenters suggested we
could achieve savings using a shared savings methodology (for example,
participant hospitals would receive 50 percent of actual episode
performance below undiscounted target prices, and would repay 50
percent of actual episode performance above undiscounted target
prices).
Response: We disagree with commenters that a discount factor is the
equivalent of a rate cut. We are providing participant hospitals the
opportunity to qualify for reconciliation payments for delivering high
quality and efficient care for LEJR episodes, and reconciliation
payments may likely exceed the value of the discount factor.
The discount factor will serve as Medicare's portion of reduced
expenditures from the CJR episode. We acknowledge that there are other
potential mechanisms, including shared savings methodologies, to
provide savings to Medicare while also incentivizing participant
hospitals. However, we also believe that a discount model, as proposed,
can also incentivize participant hospitals to deliver high quality and
efficient care while also providing savings to Medicare. We appreciate
commenters' suggestions and we may consider alternative methodologies,
such as shared savings, in the future.
Comment: Several commenters requested that we not apply a discount
factor to hospitals that are already efficient because they would not
be able to achieve further efficiencies. It would be challenging for
these efficient hospitals to qualify for reconciliation payments if
benchmarked against a target price that incorporates a discount factor.
Response: Commenters' concerns could be valid if we were basing
target prices only on hospital-specific episode expenditure data.
However, because we are blending hospital-specific and regional
components in the target price calculation, and transitioning to
completely regional target prices by performance year 4, target prices
for more efficient hospitals likely would be higher than what they
would be under a hospital-specific only pricing approach. We believe
that with the blending and transition to regional pricing, historically
efficient and high quality participant hospitals have a significant
opportunity to qualify for reconciliation payments. Additionally, as
discussed in the response to comments in section III.C.5. of this final
rule, we are modifying our proposal to provide lower effective discount
factors used to calculate target prices for participant hospitals with
better quality performance. Therefore, high quality participant
hospitals will have a lower hurdle to overcome to qualify for
reconciliation payments. We will continue to incorporate a discount
percentage into the target price for every participant hospital, and we
will use a reduced discount factor for participant hospitals with high
quality performance, as stated previously in this section's responses
to comments and in section III.C.5. of this final rule.
Comment: Commenters requested upfront investments to fund care
delivery (for example, care coordination), infrastructure, and quality
reporting changes that participant hospitals may need to make, similar
to how some ACOs use upfront investments in other models and programs
(for example, an initiative similar to the ACO Investment Model for
Medicare Shared Savings Program participants). Commenters suggested we
fund these upfront investments in a number of ways, including the
following: a supplemental lump sum payment at the start of the model;
increase, instead of discount, historical episode expenditures by 2
percent; or transition in an increasing discount factor, getting to 2
percent by the end of the model.
Response: We thank the commenter for the suggestion and for
recognizing the importance of potential care delivery, infrastructure,
and quality reporting changes participant hospitals may need to make
for an episode-based payment model such as CJR. However, we do not
believe that an additional upfront payment mechanism such as a per-
beneficiary-per-month payment or an additional payment per episode will
be necessary for hospitals to
[[Page 73356]]
successfully participate in this model. In BPCI, a similar episode-
based payment model, participants have been able to improve episode
expenditure performance without such additional upfront payment
mechanisms.
Additionally, we believe there may be low investment opportunities
for participant hospitals to achieve high quality and efficiency and
qualify for reconciliation payments in this model. For example,
participant hospitals may refer to high quality and efficient PAC
providers when appropriate, and updates to discharge and referral
patterns may be informed using already publicly available quality data
and historical episode expenditure data provided by CMS and discussed
in section III.E. of this final rule. PAC expenditures account for a
significant proportion of historical CJR episode expenditures
(approximately 30 percent \40\), and changes to discharge and referral
patterns could have significant impact on participant hospitals' actual
episode expenditure performance. We note that this rationale may not
hold true for other models (for example, patient-centered medical
homes, ACOs) where providers are responsible for beneficiaries' cost of
care over a longer period of time.
---------------------------------------------------------------------------
\40\ Medicare FFS Parts A and B claims, CJR episodes, as
proposed in this rule, between October 2013 and September 2014.
---------------------------------------------------------------------------
We also reiterate that as discussed in section III.C.5.b. of this
final rule, the quality measures selected for this model are already in
use for mandatory CMS quality reporting programs, such as the IQR
program. Hospitals will not experience an additional reporting burden
under this model for such measures. In addition, while we are including
testing of a voluntary patient-reported outcomes measures, as discussed
in section III.C.5.b.2. of this final rule, reporting of this measure
will be voluntary. We do not believe there is any required additional
burden on participant hospitals to report quality data.
Given the success of participants in a similar model, the
possibility to achieve reconciliation payments with relatively low
investment approaches, and the lack of required additional quality
reporting burden, we will not make additional upfront payments through
mechanisms such as per-beneficiary-per-month payments or additional
payments per episode.
Final Decision: After consideration of the public comments we
received, we are modifying our proposal to use a composite score
methodology to link quality and payment in the CJR model. With this
composite score methodology, a participant hospital may qualify for a
reconciliation payment and for different effective discount factors
depending on its quality performance. We refer readers to section
III.C.5. of this final rule more details on how quality and payment
will be linked.
c. Approach To Combine Pricing Features
In section III.C.4.(b) of the proposed rule we discuss the various
features we proposed to incorporate into our approach to set target
prices. We refer readers to that section for more information on
rationale and alternatives considered for each feature. In this section
we discuss how the different pricing features, as well as the episode
definition (section III.B. of the proposed rule) and adjustments to
payments included in the episodes (section III.C.3. of the proposed
rule), would fit together and be sequenced to calculate CJR episode
target prices for participant hospitals. The following steps would be
used to calculate MS-DRG 469 and 470 anchored episode target prices for
both January 1 through September 30 and October 1 through December 31
each performance year. The output of each step would be used as the
input for the subsequent step, unless otherwise noted.
(1) Calculate historical CJR episode payments for episodes
that were initiated during the 3-historical-years (section
III.C.4.b.(2) of the proposed rule) for all CJR eligible hospitals for
all Medicare Part A and B services included in the episode. We note
that specific Per Beneficiary Per Month (PBPM) payments may be excluded
from historical episode payment calculations as discussed in section
III.C.7.d. of the proposed rule.
(2) Remove effects of special payment provisions (section
III.C.3.a. of the proposed rule).
(3) Prorate Medicare payments for included episode
services that span a period of care that extends beyond the episode
(section III.C.3.b of the proposed rule.).
(4) Normalize for hospital-specific wage adjustment
variation by dividing the episodes outputted in step (3) by the
hospital's corresponding wage normalization factor described in section
III.C.4.b.(7) of the proposed rule.
(5) Trend forward 2 oldest historical years of data to the
most recent year of historical data. As discussed in section
III.C.4.b.(3) of the proposed rule, separate national trend factors
would be applied to episodes anchored by MS-DRG 469 versus MS-DRG 470.
(6) Cap high episode payment episodes with a region and
MS-DRG anchor-specific high payment ceiling as discussed in section
III.C.3.c. of the proposed rule, using the episode output from the
previous step. We have posted region-specific historical average
episode payments on the CJR Web site at https://innovation.cms.gov/
initiatives/CJR/. Note that these historical average episode payments
were based on our proposed policies and do not represent actual target
prices or the regional portion of actual target prices under the model.
(7) Calculate anchor factor and participant hospital-
specific weights (section III.C.4.b.(8) of the proposed rule) using the
episode output from the previous step to pool together MS-DRG 469 and
470 anchored episodes, resulting in participant hospital-specific
pooled historical average episode payments. Similarly, calculate
region-specific weights to calculate region-specific pooled historical
average episode payments.
(8) Calculate participant hospital-specific and region-
specific weighted update factors as described in section III.C.4.b.(4)
of the proposed rule. Multiply each participant hospital-specific and
region-specific pooled historical average episode payment by its
corresponding participant hospital-specific and region-specific
weighted update factors to calculate participant hospital-specific and
region-specific updated, pooled, historical average episode payments.
(9) Blend together each participant hospital-specific
updated, pooled, historical average episode payment with the
corresponding region-specific updated, pooled, historical average
episode payment according to the proportions described in section
III.C.4.b.(5) of the proposed rule. Participant hospitals that do not
have the minimum episode volume across the historical 3 years would use
0.0 percent and 100 percent as the proportions for hospital and region,
respectively.
(10) Reintroduce hospital-specific wage variations by
multiplying the participant hospital-specific blended, updated, and
pooled historical average episode payments by the corresponding
hospital-specific wage normalization factor, using the hospital's IPPS
wage index that applies to the hospital during the period for which
target prices are being calculated (section III.C.4.b.(7) of the
proposed rule).
(11) Multiply the appropriate discount factor, as
discussed in section III.C.4.b.(9) of the proposed rule to each
participant hospital's wage-adjusted, blended, updated, and pooled
historical
[[Page 73357]]
average episode payment. For performance years 1, 3, 4, and 5, two
discount factors would be used, one if the hospital successfully
submits data on the patient-reported outcomes measure proposed in
section III.C.5. of the proposed rule, and one if the hospital does not
successfully submit the data. For performance year 2, 4 discount
factors would be used to account for the 4 combinations of the
following: (a) Whether or not the hospital successfully submits data on
the patient-reported outcomes measure; and (b) for the different
discount factors proposed for purposes of calculating reconciliation
payments vs. calculating repayment amounts. The result of this
calculation would be the participant hospital-specific target prices
for MS-DRG 470 anchored episodes.
(12) Multiply participant hospitals' target prices for MS-
DRG 470 anchored episodes by the anchor factor (section III.C.4.b.(8)
of the proposed rule) to calculate hospitals' target prices for MS-DRG
469 anchored episodes.
The previously stated twelve steps would be used to calculate
target prices for episodes that begin between January 1 and September
30, as well as for episodes that begin between October 1 and December
31, for each performance year. The target price calculations for the
two different time periods each performance year would differ by the
IPPS wage index used in step (11) and the update factors used in step
(8). By following these twelve steps, we would calculate target prices
for each participant hospital for each performance year. We refer
readers to section III.C.4.b. of the proposed rule for further details
on each of the specific steps.
We sought comment on the proposed approach to sequence and fit
together the different pricing features, the episode definition
(section III.B. of the proposed rule), and adjustments to payments
included in the episodes (section III.C.3. of the proposed rule) to
calculate CJR episode target prices for participant hospitals.
The following is a summary of the comments received and our
responses.
Comment: Many commenters requested for risk adjustment based on
patients' hip fracture status, among other clinical and demographic
dimensions. Commenters also recommended that we modify the definition
of ``CJR eligible hospitals'', the term used to identify hospitals
included in calculations for the regional component of target prices,
to not exclude hospitals that are participating in BPCI.
Response: We refer readers to comments and responses to comments in
sections III.C.4.b.(1) and III.C.4.b.(4) of the final rule for further
discussion on risk stratification and CJR eligible hospitals,
respectively. We reference them here because changes to risk
stratification and CJR eligible hospitals would impact how we would
combine CJR pricing features. Given the changes to the proposed rule
described in sections III.C.3, III.C.4.b, and III.C.5, we are modifying
the different pricing features would fit together and be sequenced to
calculate CJR episode target prices for participant hospitals. The
following steps would be used to calculate different target prices in
each performance year for each combination of anchor MS-DRG (469 vs.
470), hip fracture status (with hip fracture vs. without hip fracture),
and period during which target prices are applicable within a
performance year (episodes initiated January 1 through September 30 vs.
October 1 through December 31 each performance year). The output of
each step would be used as the input for the subsequent step, unless
otherwise noted.
(1) Calculate historical CJR episode payments for episodes
that were initiated during the 3-historical-years (section
III.C.4.b.(2) of this final rule) for all CJR eligible hospitals for
all Medicare Part A and B services included in the episode. We note
that specific PBPM payments may be excluded from historical episode
payment calculations as discussed in section III.C.7.d. of this final
rule.
(2) Remove effects of special payment provisions (section
III.C.3.a. of this final rule) and normalize for wage index differences
(section III.C.4.b.(7) of this final rule) by standardizing Medicare
FFS payments at the claim-level.
(3) Prorate Medicare payments for included episode
services that span a period of care that extends beyond the episode
(section III.C.3.b of this final rule.).
(4) Trend forward 2 oldest historical years of data to the
most recent year of historical data. As discussed in section
III.C.4.b.(3) of this final rule, separate national trend factors would
be applied for each combination of anchor MS-DRG (469 vs. 470) and hip
fracture status (with hip fracture vs. no hip fracture).
(5) Cap high episode payment episodes with a region and MS
DRG anchor specific high payment ceiling as discussed in section
III.C.3.c. of this final rule, using the episode output from the
previous step. We have posted region specific historical average
episode payments on the CJR final rule Web site at https://
innovation.cms.gov/initiatives/CJR/.
(6) Calculate anchor factor and participant hospital
specific weights (section III.C.4.b.(8) of this final rule) using the
episode output from the previous step to pool together MS DRG 469 and
470 anchored episodes with and without hip fracture, resulting in
participant hospital specific pooled historical average episode
payments. Similarly, calculate region specific weights to calculate
region specific pooled historical average episode payments.
(7) Calculate participant hospital specific and region
specific weighted update factors as described in section III.C.4.b.(4)
of this final rule. Multiply each participant hospital specific and
region specific pooled historical average episode payment by its
corresponding participant hospital specific and region specific
weighted update factors to calculate participant hospital specific and
region specific updated, pooled, historical average episode payments.
(8) Blend together each participant hospital specific
updated, pooled, historical average episode payment with the
corresponding region specific updated, pooled, historical average
episode payment according to the proportions described in section
III.C.4.b.(5) of this final rule. Participant hospitals that do not
have the minimum episode volume across the historical 3 years would use
0.0 percent and 100 percent as the proportions for hospital and region,
respectively. For purposes of this final rule, we will define the
output of this step as the pre-discount target price for MS DRG 470
anchored episodes without hip fracture.
(9) Multiply the output of step (8) by the appropriate
anchor factors (step (6) of this target price calculation process and
detailed in section III.C.4.b.(8) of this final rule) for MS DRG 469
anchored episodes with hip fracture, MS DRG 469 anchored episodes
without hip fracture, and MS DRG 470 anchored episodes with hip
fracture. For purposes of this final rule, we will define the outputs
of this step as the pre-discount target prices for MS DRG 469 anchored
episodes with hip fracture, MS DRG 469 anchored episodes without hip
fracture, and MS DRG 470 anchored episodes with hip fracture.
(10) Multiply the pre-discount target prices for MS DRGs
469 and 470 episodes with and without hip fracture by the appropriate
effective discount factor that incorporates any quality incentive
payment, as briefly described in section III.C.4.b.(9) of this final
rule
[[Page 73358]]
and more specifically detailed in the response to comments in section
III.C.5. of this final rule and Tables 19, 20, and 21. The results of
these calculations will be participant hospitals' target prices for MS
DRG 469 anchored episodes with hip fracture, MS DRG 469 anchored
episodes without hip fracture, MS DRG 470 anchored episodes with hip
fracture, and MS DRG 470 anchored episodes without hip fracture.
The previously stated 10 steps will be used to calculate target
prices for episodes that begin between January 1 and September 30
(between April 1 and September 30 for performance year 1), as well as
for episodes that begin between October 1 and December 31, for each
performance year. The target price calculations for the two different
time periods each performance year will differ by the update factors
used in the seventh step. By following these ten steps, we will
calculate target prices for each participant hospital for each
performance year. We refer readers to section III.C.4.b. of this final
rule for further details on each of the specific steps.
Final Decision: After consideration of the public comments we
received, we are modifying our proposal to incorporate changes
described in sections III.C.3, III.C.4.b, and III.C.5 of this final
rule when fitting together and sequencing episode target price features
used to calculate CJR episode target prices for participant hospitals.
These final policies are set forth at Sec. 510.300 and Sec.
510.305.
5. Use of Quality Performance in the Payment Methodology
a. Background
Over the past several years Medicare payment policy has moved away
from FFS payments unlinked to quality and towards payments that are
linked to quality of care. Through the Affordable Care Act, we have
implemented specific IPPS programs like the HVBP program (subsection
(o) of section 1886 of the Act), the Hospital Acquired Condition
Reduction Program (HACRP) (subsection (q) of section 1886) and the HRRP
(subsection (p) of section 1886), where quality of care is linked with
payment. We have also implemented the Shared Savings Program, an ACO
program that links shared savings payment to quality performance. Since
the implementation of the HRRP in October 2012, readmission rates for
various medical conditions like THA and TKA (THA/TKA) have improved.
Trend analyses show a decrease in readmission rates and specifically
with THA/TKA risk-standardized readmissions rates (RSRR) from 5.4
percent (July 2010-June 2011) to 4.8 percent (July 2012-June 2013).\41\
Additionally, hospital THA/TKA RSCR decreased from 3.4 percent (April
2010 through March 2011) to 3.1 percent (April 2012 through March
2013). Despite the downward trend of THA/TKA RSRRs and RSCRs, the wide
dispersion in these readmission rates suggests there is still room for
hospitals to improve their performance on these measures as illustrated
by a THA/TKA RSRR distribution of 2.8 to 9.4 percent (July 2010-June
2013) and a THA/TKA RSCR distribution of 1.5 to 6.4 percent (April
2010-March 2013). In the proposed rule, we stated our belief that the
CJR model would provide another mechanism for hospitals to improve
quality of care, while also achieving cost efficiency. Incentivizing
high-value care through episode-based payments for LEJR procedures is a
primary objective of CJR. Therefore, incorporating quality performance
into the episode payment structure is an essential component of the CJR
model. We also stated our belief that the financial opportunity
discussed in section III.C.2. of the proposed rule would provide the
appropriate incentives necessary to reward a participant hospital's
achievement of episode savings when the savings are greater than the
discounted target price. For the reasons stated previously, we
discussed our belief that it would be important for the CJR model to
link the financial reward opportunity with achievement in quality of
care for Medicare beneficiaries undergoing LEJR.
---------------------------------------------------------------------------
\41\ Hospital Quality Initiatives. CMS Hospital Quality
Chartbook 2014. Available at: https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/HospitalQualityInits/Downloads/Medicare-Hospital-Quality-Chartbook-2014.pdf. Accessed
April 21, 2015.
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As discussed in section III.C. of this final rule, which outlines
the payment structure proposed for the CJR model, each participant
hospital would have target prices calculated for MS-DRG 469 and 470
anchored episodes; each anchored episode would include an anchor
hospitalization for an LEJR procedure and a 90-day period after the
date of discharge from the anchor hospitalization. These episode target
prices represent expected spending for all related Part A and Part B
spending for such episodes, with a discount applied. Hospitals who
achieve actual episode spending below a target price for a given
performance period would be eligible for a reconciliation payment from
CMS, subject to the proposed stop-gain limit policy as discussed in
section III.C.8. of this final rule.
In the proposed rule, we proposed quality performance standards
that must also be met in order for a hospital to be eligible to receive
a reconciliation payment under CJR. Specifically, we described our
proposal to include a performance measure result threshold on select
outcomes-based quality measures as a requirement for participants to
receive a reconciliation payment if actual episode spending is less
than the target price under CJR in a performance year, in addition to a
payment adjustment for successful reporting of a voluntary measure in
development. Beginning in performance year one and continuing
throughout the duration of the model, we proposed to make
reconciliation payments only to those CJR hospital participants that
met or exceeded a minimum measure result threshold. We also discussed
an alternative approach to determining CJR reconciliation payment
eligibility and adjusting payment based on a quality score developed
from performance on three outcomes-based quality measures and success
in reporting the voluntary measurement in development.
b. Implementation of Quality Measures in the Payment Methodology
In section III.D. of the proposed rule, we proposed three measures
to assess quality of care of the hospitals participating in the CJR
model. We also proposed voluntary data submission for a patient-
reported outcome measure in development. In section III.C.5. of the
proposed rule, we proposed using three measures to determine
eligibility for a reconciliation payment, as well as proposed rewarding
hospitals that voluntarily submit data for the patient-reported outcome
measure. We also discussed an alternative approach to determining
reconciliation payment eligibility and adjusting payment based on a
composite quality score calculated from the three required outcome
measures and success on reporting voluntary data on the patient-
reported outcome measure.
(1) General Selection of Quality Measures
The CJR model is designed to provide financial incentives to
improve coordination of care for beneficiaries that we expect to lead
to avoidance of post-surgical complications and hospital readmissions,
as well as to improve patient experience through care redesign and
coordination. Furthermore, we acknowledge that achievement of savings
while ensuring high-quality care for Medicare FFS beneficiaries in LEJR
episodes would require close collaboration among hospitals,
[[Page 73359]]
physicians, PAC providers, and other providers and suppliers. In order
to encourage care collaboration among multiple providers of patients
undergoing THA and TKA, we proposed three measures, as described in
detail in section III.D.2. of this final rule, to determine hospital
quality of care and to determine eligibility for a reconciliation
payment under the CJR model. The measures we proposed are as follows:
Hospital-level 30-day, all-cause RSRR following elective
primary THA and/or TKA (National Quality Forum (NQF)#1551), an
administrative claims-based measure.
Hospital-level RSCR following elective primary THA and/or
TKA (NQF #1550), an administrative claims-based measure.
HCAHPS Survey measure (NQF #0166).
Beginning in performance year 1 and continuing throughout the
duration of the model, we proposed to make reconciliation payments only
to those CJR participant hospitals that met or exceeded a minimum
performance threshold on the measures previously listed. We proposed
that hospitals must meet or exceed the measure reporting thresholds and
other requirements described in section III.C.5 and III.D. of this
final rule on all three measures in order to be eligible for a
reconciliation payment.
These three outcome measures were chosen due to their: (1)
Alignment with the goals of the CJR model; (2) hospitals' familiarity
with the measures due to their use in other CMS hospital quality
programs, including programs that tie payment to performance such as
HVBP and HRRP; and (3) assessment of CMS priorities to improve the rate
of LEJR complications and readmissions, while improving patient
experience. In the proposed rule, we stated our belief that the three
quality measures we proposed for reconciliation payment eligibility
reflected these goals and accurately measured hospitals' level of
achievement on such goals.
(2) Adjustment to the Payment Methodology for Voluntary Submission of
Data for Patient-Reported Outcome (PRO) Measure
During our consideration of quality metrics for the CJR model, we
examined the feasibility of linking voluntary data submission of
patient-reported outcomes, beyond the current three required measures
discussed in section III.D.2. of this final rule for use in the model,
with the possibility of incentivizing participant hospitals under the
episode payment model to participate in this voluntary submission of
data. We specifically examined potential patient-reported outcome
measures since this type of outcome measure aligns with the CJR model
goal of improving LEJR episode quality of care, including a heightened
emphasis on patient-centered care where patients provide meaningful
input to their care. Furthermore, the availability of patient reported
outcome data would provide additional information on a participant
hospital's quality performance, especially with respect to a patient's
functional status, beyond the current three required measures discussed
in section III.D.2. of this final rule for use in the model. We noted
that we have a measure in development, the Hospital-Level Performance
Measure(s) of Patient-Reported Outcomes Following Elective Primary THA
or TKA measure or both (hence forth referred to as ``THA/TKA patient-
reported outcome-based measure''), that would support the National
Quality Strategy domain of patient and family engagement, and could
capture meaningful information that would not otherwise be available on
patient outcomes that are related to the quality of LEJR episodes under
CJR. In the proposed rule, we stated our belief that incorporating this
measure into CJR by adjusting the payment methodology for successful
voluntary data submission on the THA/TKA patient-reported outcome-based
measure (henceforth referred to as ``THA/TKA voluntary data'') would
provide participant hospitals with valuable information on functional
outcomes that would assist them in assessing an important patient-
centered outcome, engaging other providers and suppliers in care
redesign for LEJR episodes, as well as provide them with the potential
for greater financial benefit from improved LEJR episode efficiencies.
We did not believe it would be appropriate at this time to hold any
participant hospitals financially accountable for their actual THA/TKA
voluntary data, as we proposed to require for the three measures
described in section III.C.5.b.(5) of this final rule.
Instead, we proposed to adjust the episode payment methodology for
participant hospitals that successfully submit THA/TKA voluntary data
by reducing the discount percentage used to set the target price from
2.0 percent to 1.7 percent of expected episode spending based on
historical CJR episode data, hereinafter referred to as the voluntary
reporting payment adjustment. The proposed payment policies with
respect to reconciliation payment eligibility and the discount
percentage based on hospital voluntary data submission are summarized
in Table 10 for performance years 3 through 5 where we proposed that
hospitals have full repayment responsibility. The proposed specific
percentages that would apply for purposes of the repayment amount and
reconciliation payment are outlined for performance years 1 and 2 in
the discussion that follows.
Table 10--Proposed Reconciliation Payment Eligibility and Discount
Percentage Included in the Target Price for Each Participant Hospital
Based on Quality Performance in Performance Years 3 Through 5
------------------------------------------------------------------------
Does not meet
Discount percentage included in Meets thresholds thresholds for one
target price/reconciliation for all 3 required or more of 3
payment eligibility quality measures required quality
measures
------------------------------------------------------------------------
Successfully submits THA/TKA 1.7%/eligible..... 1.7%/ineligible.
voluntary data.
Does not successfully submit THA/ 2.0%/eligible..... 2.0%/ineligible.
TKA voluntary data.
------------------------------------------------------------------------
We refer readers to section III.D.3.a. of this final rule for
further discussion of the THA/TKA patient-reported outcome-based
measure and our proposed definition of successful reporting. In
addition, we refer readers to section III.C.4.b.(9) of this final rule
for discussion of the proposed discount of 2.0 percent (without the
voluntary reporting payment adjustment) to establish the target price.
In the proposed rule, we stated our belief that a voluntary reporting
payment adjustment of 0.3 percent of expected episode spending would,
on average, cover the participant hospitals' additional administrative
costs of voluntarily reporting patient risk variables and patient-
reported reported function for outcome calculation. We estimated the
value of this discount
[[Page 73360]]
reduction, on average, to be about $75 per LEJR episode at a
participant hospital, which we believed would be sufficient to pay
hospitals for the resources required to survey beneficiaries pre- and
post-operatively about functional status and report this information
required for measure development to CMS. We also believed that
voluntary reporting on this patient-reported outcome measure would be
integral to implementation of the CJR model, as it would allow us to
further develop and evaluate the measure for potential use in this
model in the future as a measure of quality that is important and not
captured in any other available measures.
We proposed that the voluntary reporting payment adjustment would
be available for all years of the model, unless we find the measure to
be unfeasible or have adequately developed the measure such that
continued voluntary data collection is no longer needed for measure
development during the course of the model. In those situations, we
would notify participant hospitals that the voluntary reporting payment
adjustment was no longer available as we would cease collecting the
data.
We proposed that when we provide the episode target price to each
participant hospital at 2 times during the performance year, we would
provide different target prices reflecting the 2.0 percent and 1.7
percent discounts. At the time of reconciliation for the performance
year, we would determine which participant hospitals successfully
reported the THA/TKA voluntary data for that performance year. The
effects of this voluntary reporting payment adjustment would vary for
each year of the model, depending on the proposed reconciliation
payment and repayment policies for that performance year. For hospitals
that achieved successful reporting of the THA/TKA voluntary data in
performance year 3, 4, or 5, we would use the target price reflecting
the 1.7 percent discount (compared with the 2.0 percent discount for
nonreporting or unsuccessfully reporting hospitals) to calculate the
hospital's reconciliation payment or repayment amount. Based on this
comparison, consistent with the proposal described in section III.C.6.
of this final rule, we would make a reconciliation payment if actual
episode spending was less than the target price (and the thresholds for
reconciliation payment eligibility are met for the three required
quality measures) or make participant hospitals responsible for
repaying Medicare if actual episode spending exceeded the target price.
For performance year 2, when we proposed that repayment responsibility
would be phased-in, for participant hospitals with successful THA/TKA
voluntary data reporting, we would use a target price reflecting the
1.7 percent discount (compared with the 2.0 percent discount for
nonreporting or unsuccessfully reporting hospitals) to determine if
actual episode spending was below the target price, whereupon the
participant hospital would receive a reconciliation payment if the
quality thresholds on the three required measures were met. In order to
help hospitals transition to taking on repayment responsibility, we
proposed to apply a reduced discount of 0.7 percent for successful THA/
TKA voluntary data reporting hospitals (compared with 1.0 percent for
nonreporting or unsuccessfully reporting hospitals) in performance year
2 for purposes of determining the hospital's repayment responsibility
for excess episode spending. For performance year 1, when we proposed
that there would be no repayment responsibility, for participant
hospitals with successful THA/TKA voluntary data reporting, we would
use a target price reflecting the 1.7 percent discount (compared with
the 2.0 percent discount for nonreporting or unsuccessfully reporting
hospitals) to determine if actual episode spending was below the target
price, whereupon the participant hospital would receive a
reconciliation payment if the quality thresholds on the three required
measures were met. In the proposed rule, we stated our belief that this
proposed voluntary reporting payment adjustment would provide the
potential for increased financial benefit for participant hospitals due
to a higher target price (that reflects a lower discount percentage)
that successfully report the measure. Participant hospitals that
successfully reported the voluntary data would be subject to a lower
repayment amount (except for performance year 1 when hospitals have no
repayment responsibility) or a higher reconciliation payment (assuming
the thresholds are met on the three required measures for
reconciliation payment eligibility), than hospitals that did not
successfully report the voluntary data.
In general, we proposed that participant hospitals that met the
performance thresholds for the three required quality measures and
reduced actual episode spending below the target price, as well as
successfully reported the THA/TKA voluntary data, would be eligible to
retain an additional 0.3 percent of the reduced episode expenditures
relative to participant hospitals that successfully reported the three
required quality measures but did not report voluntary data, funds
which would offset additional administrative costs that the participant
hospitals would incur in reporting on the measure. Additionally, for
performance years 2-5 where we proposed that participant hospitals
would have payment responsibility, participant hospitals with increased
actual episode spending above the target price would not be required to
repay 0.3 percent of the increased episode expenditures (relative to
participant hospitals that do not report voluntary data), funds that
would offset additional administrative costs that the participant
hospitals would incur in reporting on the measure. These costs would
include the hospital staff time required for training on the measure,
as well as then gathering and reporting on multiple patient risk
variables from LEJR episode beneficiaries' medical records and locating
beneficiaries and administering via phone survey questions on
functional status, which would also then be reported to CMS. Thus, we
expected that the proposal would encourage reporting by a number of
participant hospitals, and it would have the potential to benefit those
hospitals that successfully reported on the measure. Therefore, this
proposal could financially benefit reporting hospitals that would also
collect valuable information on patient functional outcomes that could
inform their LEJR care redesign. While this measure remains in
development from our perspective to ensure translation of data across
care settings and the respective hospital communities during the 90-day
post-discharge episode of care, participant hospitals would gain
anecdotal, locally relevant information regarding the patient-reported
outcomes of their own patients that could inform participant hospitals'
continuous quality improvement efforts.
We considered two alternative options to adjust the CJR payment
methodology by modifying the required quality measure thresholds for
reconciliation payment eligibility for those participant hospitals that
successfully submit the THA/TKA voluntary data. First, we considered
adjusting the threshold that hospitals must meet on the three required
quality measures for reconciliation payment eligibility if reduced
episode spending was achieved from the unadjusted 30th percentile
threshold to the adjusted 20th percentile threshold for performance
years 1, 2, and 3, and from the unadjusted 40th percentile to the
adjusted 30th percentile for performance years 4 and 5. Second, we
[[Page 73361]]
considered only requiring hospitals to meet the 30th percentile
threshold on two of three outcome measures for performance years 1, 2,
and 3, and the 40th percentile threshold on two of three outcome
measures for performance years 4 and 5. These options would provide the
opportunity for some participant hospitals, specifically those that
missed the unadjusted percentile for one or more of the three required
quality measures by a specified margin, to receive reconciliation
payments if actual episode spending was less than the target price.
However, these options could benefit only a subset of participant
hospitals that successfully reported the THA/TKA voluntary data. For
the majority of participant hospitals that we expect would meet the
unadjusted thresholds for all three required measures, these options
would not provide any incentive to voluntarily report the data because
the hospitals would not benefit from voluntarily reporting the
additional measure. We decided not to propose either of these options
to adjust the CJR payment methodology for participant hospitals that
voluntarily report data on the new measure because the limited benefit
could result in few hospitals choosing to report on the measure,
thereby limiting our progress in developing the measure. We noted that
these two considered options and our proposal were not mutually
exclusive.
We sought comment on the proposed voluntary reporting payment
adjustment of reducing the discount percentage from 2.0 percent to 1.7
percent for CJR participant hospitals that voluntarily and successfully
report on the THA/TKA voluntary data. Given our interest in robust
hospital participation in reporting on the THA/TKA voluntary data under
CJR, we were specifically interested in information on the additional
resources and their associated costs that hospitals would incur to
report THA/TKA voluntary data, as well as the relationship of these
costs to the potential financial benefit participant hospitals could
receive from the proposed reduced discount of 1.7 percent. Based on
such information, we would consider whether a change from the proposed
discount factor reduction due to successful voluntary data submission
would be appropriate. We also sought comment on whether the alternative
payment methodology adjustments considered, or combination of
adjustments, would more appropriately incentivize CJR participant
hospitals to submit THA/TKA voluntary data. In the proposed rule, we
stated our belief that development of the THA/TKA patient-reported
outcome measure would benefit from reporting by a broad array of
participant hospitals, including those that currently deliver high
quality, efficient LEJR episode care and those that have substantial
room for improvement on quality and or cost-efficiency.
We summarize the public comments we received on the proposed
voluntary reporting payment adjustment and provide our responses in
section III.C.5.b.(5)(c)(iii) of this final rule. We did not receive
public comments on the alternative payment methodology adjustments that
we discussed in the proposed rule. Furthermore, in light of our
interest in encouraging CJR participant hospital THA/TKA voluntary data
reporting, we also considered alternative approaches to collect this
information or provide hospitals with funds to help cover their
associated administrative costs other than adjustments to the CJR model
payment methodology. One alternative would be for hospitals to collect
and report on patient pre-operative information collected 0 to 90 days
before surgery, while CMS would engage a contractor to collect and
report the post-operative information collected 9 to 12 months after
surgery. This approach would reduce some of the administrative burden
of collection and reporting on hospitals, although participant
hospitals would need to provide CMS with certain beneficiary
information, including contact information that would be needed for a
CMS contractor to contact the beneficiary at a later date. We sought
comment on this alternative, including whether hospitals would incur
significant additional administrative costs to report on the data prior
to surgery and how CMS could best provide funds to offset some of those
costs, through an adjustment to the CJR payment methodology or other
means. We also sought comment on the information participant hospitals
would need to provide to CMS so that a CMS contractor could collect and
report the post-operative data, and the most efficient ways for
hospitals to provide this information to us. Finally, we considered an
approach that would provide hospitals with separate payment outside of
an adjustment to the CJR payment methodology to specifically assist in
covering their administrative costs of reporting THA/TKA voluntary
data, in order to achieve robust hospital participation in reporting.
We sought comment on the hospital administrative costs that would be
incurred for reporting, as well as on approaches we could take to
ensure that hospitals achieved successful reporting under such an
approach if separate payment was made. Finally, we expressed our
interest in comments regarding the comparative strength of these
various alternatives in encouraging hospitals to participate in
reporting THA/TKA voluntary data.
We did not receive any public comments on the alternatives we
discussed other than adjustments to the payment methodology to collect
THA/TKA voluntary data and provide hospitals with funds to cover the
required resources. We summarize these comments we received in section
III.C.5.b.(5)(c)(iii) of this final rule and provide our responses.
(3) Measure Risk-Adjustment and Calculations
All three proposed outcome measures are risk-adjusted, and we refer
readers to section III.D.2. of this final rule for a full discussion of
these measures and risk-adjustment methodologies. We believed that
risk-adjustment for patient case-mix is important when assessing
hospital performance based on patient outcomes and experience and
understanding how a given hospital's performance compares to the
performance of other hospitals with similar case-mix.
(4) Applicable Time Period
We proposed to use a 3-year rolling performance or applicable
period for the Hospital-level 30-day, all-cause RSRR following elective
primary THA and/or TKA (NQF #1551) and the Hospital-level RSCR
following elective primary THA and/or TKA (NQF #1550) measures. We also
specifically proposed to align with the HIQR Program's 3-year rolling
performance period for the RSRR and RSCR measures since we believed
that a 3-year performance period yields the most consistently reliable
and valid measure results (FY 2015 IPPS/LTCH final rule, 79 FR 50208
through 50209). For the HCAHPS Survey measure, we proposed to follow
the same performance period as in the HIQR Program (FY 2015 IPPS/LTCH
final rule, 79 FR 50259). HCAHPS scores are created from 4 consecutive
quarters of survey data; publicly reported HCAHPS results are also
based on 4 quarters of data. For the voluntary data collection for the
proposed THA/TKA patient-reported outcome-based performance measure,
the optimal reporting time period had not been determined at the time
of issuance of the CJR model proposed rule. Therefore, we proposed
defining the applicable time period as
[[Page 73362]]
12 month intervals that may begin between July 1, 2016 and December 31,
2016, and continue in subsequent performance years for a total of four
or fewer performance periods. Participant hospitals will submit
required data to CMS in a mechanism similar to the data submission
process for the HIQR Program within sixty days of the end of each 12
month period. As described in section III.C.5.b.(2) of the proposed
rule, the proposed voluntary reporting payment adjustment of reducing
the discount percentage from 2.0 percent to 1.7 percent for CJR
participant hospitals that successfully report on the THA/TKA voluntary
data would begin in year 2 and also apply to subsequent years of the
model. We are not finalizing the proposed voluntary reporting payment
adjustment, as discussed further in section III.C.5.b.(5)(c)(iii) of
this final rule. We note that we summarize the public comments we
received on the proposed applicable time period and provide our
responses in section III.D.3.d. of this final rule, and we summarize
the public comments we received on the reporting time period for the
THA/TKA patient-reported outcome and limited risk variable data and
provide our responses in section III.D.3.a.(9) of this final rule.
(5) Criteria for Applicable Hospitals and Performance Scoring
(a) Identification of Participant Hospitals for the CJR Model
As discussed in section III.A.2. of this final rule, all CJR
participant hospitals will be IPPS hospitals.
(b) Methodology To Determine Performance on the Quality Measures
To determine performance on the quality measures, we proposed to
calculate measure results for all three measures as outlined in the
Quality Measures section III.D.2. of this final rule. Performance on
the three measures for the CJR model participant hospitals would be
compared to the national distribution of measure results for each of
these measures obtained through the HIQR Program. The HIQR Program is
an IPPS program in which public reporting is a focus of the program for
the nation's acute care hospitals, and we proposed using the absolute
value of the CJR model participant hospital's result to determine if
that participant hospital was eligible for a reconciliation payment. In
essence, we intended to take the HIQR Program measure results (also
posted publicly) for the proposed measures, identify the proposed
threshold, and apply the thresholds as outlined in section
III.C.5.b.(5)(c)(iii) of this final rule. In the proposed rule, we
stated our belief that it would be reasonable to use the HIQR Program
distribution of measure results to identify a measure result threshold
because--(1) The hospitals in the HIQR Program represent most acute
care hospitals in the nation; (2) the CJR model participant hospitals
are a subset of the hospitals in the HIQR Program; and (3) the
expectation that the CJR model participant hospitals meet a measure
result threshold based on a national distribution of measure results
would encourage the CJR model participant hospitals to strive to attain
measure results consistent with or better than hospitals across the
nation. For a detailed description of how we proposed to determine the
measure result thresholds for consideration of a reconciliation payment
adjustment, see section III.C.5.b.(3) and III.C.5.b.(5)(c) of this
final rule. We would not want to encourage CJR model participant
hospitals to strive for measure results or quality of care performance
that may be lower than the national measure results. Given that the CJR
participant hospitals are a subset of the HIQR Program participant
hospitals, they are familiar with these three measures and may have put
into place processes that will help to improve quality of care in the
LEJR patient population. Finally, once the measure results were
calculated, we proposed to use these results to determine eligibility
for reconciliation payment, which is discussed in detail in the next
section.
We summarize the public comments we received on the proposed
calculation of the measure results and application of performance
thresholds and provide our responses in sections III.D.2 and
III.C.5.b.(5)(c)(iii) of this final rule, respectively.
To be considered to have successfully reported the voluntary data
collection and submission for the THA/TKA voluntary data, we proposed
that successfully reporting would mean participant hospitals must meet
all of the following:
Submit the data elements listed in section III.D.3.a.(2)
of this final rule.
Data elements listed in section III.D.3.a.(3) of this
final rule must be submitted on at least 80 percent of their eligible
elective primary THA/TKA patients (patients eligible for pre-operative
THA/TKA voluntary data submission are those described in section
III.D.3.a.(3) of this final rule); patients eligible for post-operative
THA/TKA voluntary data submission are those described in section
III.D.3.a.(3) of this final rule and also having a THA/TKA procedure
date during the anchor hospitalization at least 366 days prior to the
end of the data collection period. Therefore, participant hospitals
would not be expected to collect and submit post-operative THA/TKA
voluntary data on patients who are fewer than 366 days from the date of
surgery.
THA/TKA voluntary data submission must occur within 60
days of the end of the most recent performance period.
Hospitals that meet these three standards and successfully submit
THA/TKA voluntary data would be eligible for the proposed voluntary
reporting payment adjustment of reducing the discount percentage from
2.0 percent to 1.7 percent for CJR participant hospitals that
voluntarily and successfully report on the THA/TKA voluntary data. We
note that we are not finalizing this voluntary reporting payment
adjustment proposal as discussed in section III.C.5.b.(5)(c)(iii) of
this final rule. However, we continue to believe that encouraging
collection and submission of the THA/TKA voluntary data through the CJR
model would increase availability of patient-reported outcomes to both
participant hospitals that collect and submit data on their own
patients in the model (and their patients as well); further development
of an outcomes measure that provides meaningful information on patient-
reported outcomes for THA/TKA procedures that are commonly furnished to
Medicare beneficiaries; provide another quality measure that may be
incorporated into the CJR model policy linking quality to payment in
future performance years, pending successful development of the
measure; and inform the quality strategy of future payment models.
Collecting data on at least 80 percent of hospital's eligible THA/TKA
patients would provide sufficiently representative data to allow for
development and testing of the THA/TKA patient-reported outcome-based
performance measure.
We invited public comment on the proposal to calculate measure
results for all three measures as outlined in the Quality Measures
section III.D.2. of this final rule. We also sought public comment on
our proposal for hospitals to meet three requirements, previously
outlined, in order to be considered as successfully submitting THA/TKA
voluntary data.
We summarize the public comments on the proposals to calculate
measure results and determine measure result thresholds and provide our
responses in sections III.D.2. and III.C.5.b.(5)(c)(iii) of this final
rule, respectively. We summarize the public comments on the proposals
for successful THA/TKA
[[Page 73363]]
voluntary data submission and provide our responses in section
III.D.3.a. of this final rule.
(c) Methodology To Link Quality and Payment
(i) Background
In proposing a methodology for linking payment for LEJR episodes to
quality under this model, we considered several alternatives.
Specifically, we considered making reconciliation payments to hospitals
tied to achievement and improvement in quality performance or,
alternatively, establishing minimum quality performance thresholds for
selected quality measures from the beginning of the model or a later
year, which would reward achievement but not necessarily improvement.
While we proposed as discussed section III.C.5.b.(5)(c) of this final
rule to establish minimum thresholds for participant hospital
performance on three selected quality measures for reconciliation
payment eligibility each performance year from the beginning of the
model, we also discussed in detail an alternative we considered, which
would make quality incentive payments related to hospital achievement
and improvement on the basis of a composite quality score developed for
each performance year. The composite quality score would affect
reconciliation payment eligibility and change the effective discount
included in the target price experienced by a participant hospital at
reconciliation.
Similar to the proposal described in section III.C.5.b.(5)(c) of
this final rule, the alternatives considered would require a
determination of participant hospital performance on all three proposed
required quality measures, described in section III.D.2. of this final
rule, based on the national distribution of hospital measure result
performance, but instead of identifying the participant hospital's
performance percentile for comparison with a threshold requirement, we
would do so for purposes of assigning points toward a hospital
composite quality score. Both the hospital-level 30-day, all cause
Risk-Standardized Readmission Rate (RSRR) following elective primary
THA and/or TKA (NQF #1551) measure and the hospital-level Risk-
Standardized Complication Rate (RSCR) following elective primary THA
and/or TKA (NQF #1550) measure directly yield rates for which a
participant hospital performance percentile could be determined and
compared to the national distribution in a straightforward manner. As
discussed in section III.D.2.c. of this final rule, we proposed to use
the HCAHPS Linear Mean Roll Up (HLMR) score calculated using the HCAHPS
Survey measure (NQF #0166). Once the HLMR scores are calculated, the
participant hospital performance percentile could also be determined
and compared to the national distribution in a straightforward manner.
In addition, the alternatives considered would account for the
successful submission of voluntary THA/TKA data on the patient-reported
outcome measure, as discussed in section III.C.5.b.(2) of this final
rule, in the calculation of the composite quality score.
(ii) Alternatives Considered To Link Quality and Payment
We considered assigning each participant hospital a composite
quality score, developed as the sum of the individual quality measure
scores described later in this section, which were set to reflect the
intended weights for each of the quality measures and the successful
submission of THA/TKA voluntary data in the composite quality score.
The participant hospital's composite quality score would affect
reconciliation payment eligibility and could also provide the
opportunity for quality incentive payments under the CJR model. Each
quality measure would be assigned a weight in the composite quality
score and possible scores for the measures would be set to reflect
those weights. A composite quality score for each performance year
would be calculated for each participant hospital based on its own
performance that would affect reconciliation payment eligibility and
the hospital's opportunity to receive quality incentive payments under
the model. The composite quality score would also change the effective
discount included in the target price experienced by the hospital at
reconciliation for that performance year. We would weigh participant
hospital performance on each of the three measures and successful
submission of voluntary THA/TKA data according to the measure weights
displayed in Table 11.
Table 11--Quality Measure Weights Under the Composite Quality Score
Alternative Considered in the Proposed Rule
------------------------------------------------------------------------
Weight in
composite
Quality measure quality score
(%)
------------------------------------------------------------------------
Hospital[dash]level 30[dash]day, all[dash]cause RSRR 20
following elective primary THA and/or TKA (NQF #1551)..
Hospital[dash]level RSCR following elective primary THA 40
and/or TKA (NQF #1550).................................
HCAHPS Survey (NQF #0166)............................... 30
Voluntary THA/TKA data submission on 10
patient[dash]reported outcome measure..................
------------------------------------------------------------------------
We would assign the lowest weight of 10 percent to the successful
submission of THA/TKA data on the patient-reported outcome measure
because these data represent a hospital's meaningful participation in
advancing the quality measurement of LEJR patient-reported outcomes but
not actual outcome performance for LEJR episodes under the CJR model.
In the proposed rule, we stated our belief the three required measures
that represent LEJR outcomes deserve higher weights in the composite
quality score. We would assign a modest weight of 20 percent to the
readmissions measure because, while we believed that readmissions are
an important quality measure for LEJR episodes, the episode payment
methodology under the model already provides a strong financial
incentive to reduce readmissions that otherwise would contribute
significantly to greater actual episode payments. Furthermore,
hospitals generally have already made significant strides over the past
several years in reducing readmissions due to the inclusion of this
measure in other CMS hospital programs that make payment adjustments
based on performance on this measure. We believed that a higher weight
than 20 percent would overvalue the contribution of readmissions
performance as an indicator of LEJR episode quality in calculating the
composite quality score. Furthermore, other CMS hospital programs may
also make a payment adjustment based on hospital performance on the
readmissions measure, so we would not want this measure to also
strongly influence reconciliation payment eligibility and the
opportunity for quality incentive payments under the
[[Page 73364]]
CJR model. We would assign a higher weight of 30 percent to the HCAHPS
Survey measure because we believed that incorporating this quality
measure, which reflects performance regarding patients' perspectives on
care, including communication, care transitions, and discharge
information, is a highly meaningful outcome measure of LEJR episode
quality under the CJR model. However, we did not believe it would be
appropriate assign the HCAHPS Survey measure the highest weight of the
four measures, as the measure is not specific to LEJR episode care, but
rather to all clinical conditions treated by participant hospitals.
Finally, we would assign the highest weight, 40 percent, to the
complications measure. We believed this measure should be weighted the
most because it is specific to meaningful outcomes for primary THA and
TKA that are the major procedures included in LEJR episodes under the
CJR model. The measure includes important complications of LEJR
episodes, such as myocardial infarction, pneumonia, surgical site
bleeding, pulmonary embolism, death, mechanical joint complications,
and joint infections occurring within various periods of time during
the LEJR episode. LEJR episodes under the CJR model are broadly defined
so that reducing complications should be a major focus of care redesign
that improves quality and efficiency under this model, yet because
complications may not be as costly as readmissions, the payment
incentives under the model would not as strongly target reducing
complications as reducing readmissions. We sought comment on this
weighting of the individual quality scores in developing a composite
quality score for each participant hospital.
Under such an approach, we would first score individually each
participant hospital on the Hospital-level 30-day, all-cause RSRR using
the elective primary THA and/or TKA (NQF #1551) measure; Hospital-level
RSCR following using the elective primary THA and/or TKA measure (NQF
#1550); and HCAHPS Survey measure (NQF #0166) based on the participant
hospital's performance percentile as compared to the national
distribution of hospitals' measure performance, assigning scores
according to the point values displayed in Table 12. These individual
measure scores were set to reflect the measure weights included in
Table 11 so they could ultimately be summed without adjustment in
calculating the composite quality score.
Table 12--Individual Scoring Under the Composite Quality Score Alternative Considered for Three Required Quality
Measures in the Proposed Rule
----------------------------------------------------------------------------------------------------------------
Complications measure HCAHPS survey quality Readmissions measure
Performance percentile quality score (points) score (points) quality score (points)
----------------------------------------------------------------------------------------------------------------
>=90th............................... 8.00 6.00 4.00
>=80th and <90th..................... 7.40 5.55 3.70
>=70th and <80th..................... 6.80 5.10 3.40
>=60th and <70th..................... 6.20 4.65 3.10
>=50th and <60th..................... 5.60 4.20 2.80
>=40th and <50th..................... 5.00 3.75 2.50
>=30th and <40th..................... 4.40 3.30 2.20
<30th................................ 0.00 0.00 0.00
----------------------------------------------------------------------------------------------------------------
Given the current national distribution of hospital performance on
these measures, in the proposed rule we stated our belief that small
point increments related to higher measure performance deciles would be
the most appropriate way to assign more points to reflect meaningfully
higher quality performance on the measures. The absolute differences
for each decile among the three measures reflect the intended weight of
the measure in the composite quality score. We would assign any low
volume participant hospital without a reportable value for the measure
to the 50th performance percentile of the measure, so as not to
disadvantage a participant hospital based on its low volume alone
because that hospital may in actuality provide high quality care. These
three measures are well-established measures in use under CMS hospital
programs, so we did not believe that scores below the 30th percentile
reflect quality performance such that they should be assigned any
individual quality measure score points for LEJR episodes under CJR.
However, we also considered reducing scores incrementally across the
bottom three deciles in order to provide greater incentives for quality
improvement for hospitals that may not believe they can attain the 30th
performance percentile on one or more of the three measures and to
avoid creating a ``cliff'' at the 30th performance percentile. We
sought comment on this scoring approach to the three required quality
measures.
Additionally, we would assign a measure quality score of one point
for participant hospitals that successfully submit THA/TKA voluntary
data and 0 points for participant hospitals that do not successfully
submit these data. Because we would not use the actual THA/TKA
voluntary data on the patient-reported outcome measure in assessing
LEJR episode quality performance under the model, we believed this
straightforward binary approach to scoring the submission of THA/TKA
voluntary data for the patient-reported outcome measure development
would be appropriate.
We note that the Shared Savings Program utilizes a similar scoring
and weighting methodology, which is described in detail in the CY2011
Shared Savings Program Final Rule (see Sec. 425.502). The HVBP and
HACRP programs also utilize a similar scoring methodology, which
applies weights to various measures and assigns an overall score to a
hospital (79 FR 50049 and 50102).
We would sum the score on the three quality measures and the score
on successful submission of THA/TKA voluntary data to calculate a
composite quality score for each participant hospital. Then we would
incorporate this score in the model payment methodology by first,
requiring a minimum composite quality score for reconciliation payment
eligibility if the participant hospital's actual episode spending is
less than the target price and second, by making quality incentive
payments that change the effective discount percentage included in the
target price experienced by the hospital in the reconciliation process.
The payment policies we would apply are displayed in Tables 13, 14, and
15 for the performance years of the model.
[[Page 73365]]
Under the CJR model as proposed, there would be no participant hospital
repayment responsibility in performance year 1 and this responsibility
would begin to be phased-in in performance year 2, with full
implementation in performance year 3.
Table 13--Performance Year 1: Relationship of Composite Quality Score To Reconciliation Payment Eligibility and
the Effective Discount Percentage Experienced at Reconciliation Under the Composite Quality Score Alternative
Considered in the Proposed Rule
----------------------------------------------------------------------------------------------------------------
Eligible for Effective discount
Eligible for quality percentage for Effective discount
Composite quality score reconciliation incentive reconciliation percentage for repayment
payment payment payment (%) amount
----------------------------------------------------------------------------------------------------------------
<=5.00....................... No.............. No.............. 3.0 Not applicable.
>5.00 and <=9.25............. Yes............. No.............. 3.0 Not applicable.
>9.25 and <=15.20............ Yes............. Yes............. 2.0 Not applicable.
>15.20....................... Yes............. Yes............. 1.5 Not applicable.
----------------------------------------------------------------------------------------------------------------
Table 14--Performance Year 2: Relationship of Composite Quality Score to Reconciliation Payment Eligibility and
the Effective Discount Percentage Experienced at Reconciliation Under the Composite Quality Score Alternative
Considered in the Proposed Rule
----------------------------------------------------------------------------------------------------------------
Effective discount Effective discount
Eligible for Eligible for percentage for percentage for
Composite quality score reconciliation quality incentive reconciliation repayment amount
payment payment payment (%) (%)
----------------------------------------------------------------------------------------------------------------
<=5.00.......................... No................ No................ 3.0 2.0
>5.00 and <= 9.25............... Yes............... No................ 3.0 2.0
>9.25 and <= 15.20.............. Yes............... Yes............... 2.0 1.0
>15.20.......................... Yes............... Yes............... 1.5 0.5
----------------------------------------------------------------------------------------------------------------
Table 15--Performance Years 3-5: Relationship of Composite Quality Score to Reconciliation Payment Eligibility
and the Effective Discount Percentage Experienced at Reconciliation Under the Composite Quality Score
Alternative Considered in the Proposed Rule
----------------------------------------------------------------------------------------------------------------
Effective discount Effective discount
Eligible for Eligible for percentage for percentage for
Composite quality score reconciliation quality incentive reconciliation repayment amount
payment payment payment (%) (%)
----------------------------------------------------------------------------------------------------------------
<=5.00.......................... No................ No................ 3.0 3.0
>5.00 and <= 9.25............... Yes............... No................ 3.0 3.0
>9.25 and <= 15.20.............. Yes............... Yes............... 2.0 2.0
>15.20.......................... Yes............... Yes............... 1.5 1.5
----------------------------------------------------------------------------------------------------------------
Under this approach, the CJR model discount included in the target
price without consideration of the composite quality score would be 3.0
percent, not the 2.0 percent described under our payment proposal in
section III.C.4.b.(9) of this final rule. In the proposed rule, we
stated our belief that a discount percentage of 3.0 percent without
explicit consideration of episode quality is reasonable as it is within
the range of discount percentages included in the ACE demonstration and
it is the Model 2 BPCI discount factor for 30 and 60 day episodes,
where a number of BPCI participants are testing LEJR episodes subject
to the 3.0 percent discount factor. Hospitals that provide high quality
episode care would have the opportunity to receive quality incentive
payments that would reduce the effective discount percentage as
displayed in Tables 13, 14, and 15. Depending on the participant
hospital's actual composite quality score, quality incentive payments
could be valued at 1.0 percent to 1.5 percent of the hospital's
benchmark episode price (that is, of the expected episode spending
prior to application of the discount factor to calculate a target
price).
Under this methodology, we would require hospitals to achieve a
minimum composite quality score of greater than 5.00 to be eligible for
a reconciliation payment if actual episode spending was less than the
target price. Participant hospitals with below acceptable quality
performance reflected in a composite quality score less than or equal
to 5.00 would not be eligible for a reconciliation payment if actual
episode spending was less than the target price. A level of quality
performance that is below acceptable would not affect participant
hospitals' repayment responsibility if actual episode spending exceeds
the target price. We believed that excessive reductions in utilization
that lead to low actual episode spending and that could result from the
financial incentives of an episode payment model would be limited by a
requirement that this minimum level of LEJR episode quality be achieved
for reconciliation payments to be made. This policy would encourage
hospitals to focus on appropriate reductions or changes in utilization
to achieve high quality care in a more efficient manner. Therefore,
these hospitals would be ineligible to
[[Page 73366]]
receive a reconciliation payment if actual episode spending was less
than the target price.
For hospitals with composite quality scores of less than or equal
to 5.00, we also considered a potential alternative approach. Under
this approach, we would still permit this group of hospitals to receive
reconciliation payments but would impose a quality penalty that would
increase their effective discount percentage to 4.0 percent for
purposes of calculating the reconciliation payment or recoupment amount
in performance years 3 through 5, 4.0 percent for calculating the
reconciliation payment and 3.0 percent for calculating the repayment
amount in performance year 2, and 4.0 percent for calculating the
reconciliation payment in performance year 1 where participant
hospitals have no repayment responsibility. A potential advantage of
this approach is that it would provide stronger incentives for quality
improvement for participant hospitals with low performance on quality,
even if they did not expect to be able to reduce actual episode
spending below the target price. In addition, this approach would
provide financial incentives to improve the efficiency of care even for
hospitals that did not expect to meet the minimum quality score for
reconciliation payment eligibility, while still providing strong
incentives to provide high-quality care. The disadvantage of this
approach is that it could provide reconciliation payments even to
hospitals that did not achieve acceptable quality performance.
Participant hospitals with an acceptable composite quality score of
>5.00 and <=9.25 would be eligible for a reconciliation payment if
actual episode spending was less than the target price because their
quality performance was at the acceptable level established for the CJR
model. They would not be eligible for a quality incentive payment at
reconciliation because their episode quality performance, while
acceptable, was not good or excellent. Therefore, these hospitals would
be eligible to receive a reconciliation payment if actual episode
spending was less than the target price.
Participant hospitals with a good composite quality score of >9.25
and <=15.20 would be eligible for a quality incentive payment at
reconciliation if actual episode spending was less than the target
price because their quality performance exceeded the acceptable level
required for reconciliation payment eligibility under the CJR model. In
addition, they would be eligible for a quality incentive payment at
reconciliation for good quality performance that equals 1.0 percent of
the participant hospital's benchmark price, thereby changing the
effective discount percentage included in the target price experienced
by the hospital at reconciliation. Thus, participant hospitals
achieving this level of quality for LEJR episodes under CJR would
either have less repayment responsibility (that is, the quality
incentive payment would offset a portion of their repayment
responsibility) or receive a higher payment (that is, the quality
incentive payment would add to the reconciliation payment) at
reconciliation than they would have otherwise based on a comparison of
actual episode spending to the target price that reflects a 3.0 percent
discount. Therefore, these hospitals would be eligible to receive a
reconciliation payment if actual episode spending was less than the
target price and would also receive a quality incentive payment.
Finally, hospitals with an excellent composite score quality score
of >15.20 would be eligible to receive a reconciliation payment if
actual episode spending was less than the target price because their
quality performance exceeded the acceptable level required for
reconciliation payment eligibility under the CJR model. In addition,
they would be eligible for a higher quality incentive payment at
reconciliation for excellent quality performance that equals 1.5
percent of the participant hospital's benchmark price, thereby changing
the effective discount percentage included in the target price
experienced by the hospital at reconciliation. Thus, participant
hospitals achieving this level of quality for LEJR episodes under CJR
would either have less repayment responsibility (that is, the quality
incentive payment would offset a portion of their repayment
responsibility) or receive a higher payment (that is, the quality
incentive payment would add to the reconciliation payment) at
reconciliation than they would have otherwise based on a comparison of
actual episode spending to the target price that reflects a 3.0 percent
discount. Therefore, these hospitals would be eligible to receive a
reconciliation payment if actual episode spending was less than the
target price and would also receive a quality incentive payment.
Under this methodology, the proposed stop-loss and stop-gain limits
discussed in section III.C.8. of this final rule would not change. We
believed this approach to quality incentive payments based on the
composite quality score could have the effect of increasing the
alignment of the financial and quality performance incentives under the
CJR model to the potential benefit of participant hospitals and their
collaborators as well as CMS, although it would substantially increase
the complexity of the methodology to link quality and payment. We
sought comment on this alternative approach to basing reconciliation
payment eligibility and quality incentive payments on the participant
hospital's composite quality score under the CJR model, as well as the
composite quality scoring ranges applicable to the respective payment
policies.
While we described in detail this alternative considered to link
quality to payment under CJR, we did not propose this methodology for
several reasons. First, the Shared Savings Program and HVBP program
utilize many more measures than we proposed for the CJR model. For
example, the Shared Savings Program initially incorporated thirty-three
measures across four quality domains (79 FR 67916 and 67917). The range
of measures in the Shared Savings Program and the HVBP program lends
itself to a scoring approach, which can account for many measures and
allows providers to achieve a high score despite performing well on
some measures but achieving lower performance on others. There is a
detailed description of the Shared Savings Program scoring methodology
on the CMS Web site at: https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/sharedsavingsprogram/Quality_Measures_Standards.html.
We believed that given the more limited set of measures chosen for the
CJR model, a scoring approach such as the alternative described in this
section could diminish the importance of each measure. Use of a scoring
approach would not allow hospital performance on two different outcomes
to be easily reviewed and understood with respect to the impact of
individual measure performance on Medicare's actual payment for the
episode under the model. Second, we believed the measures proposed for
this model represent goals of clinical care that should be achievable
by all hospitals participating in the model that heighten their focus
on these measures, especially the readmissions and complications
measures, for LEJR episodes based on the financial incentives in the
model. Finally, we believed that a methodology that assesses
performance based on absolute values of a specific set of measures that
[[Page 73367]]
are already in use, as we proposed for the CJR model, would be the most
appropriate methodology to provide achievable and predictable quality
targets for participant hospitals on measures that monitor the most
meaningful quality of care outcomes in a model where some acute care
hospitals that might not choose to participate in a voluntary model are
also included. Our proposed method as discussed in the next section
reflected our expectation that hospitals achieve a certain level of
performance on measures to ensure that hospitals provide high-quality
care under the model.
Finally, we also considered an approach whereby participant
hospitals would not be penalized with regard to their eligibility for
reconciliation payments in CJR for failure to meet the specified
thresholds for the quality measures in performance year 1 of the model;
in other words, we would delay the proposal described in the next
section to performance year 2 rather than beginning in performance year
1. We considered calculating participant hospital performance on the
required measures for the model, and, if actual episode spending was
less than the target price, the participant hospital would receive a
full reconciliation payment of savings achieved beyond the target
price, regardless of performance on the quality measures. However, we
did not believe this would be appropriate for the CJR model, given that
two of the measures are administrative claims-based and thus impose no
additional reporting burden on hospitals; rather, these two measures
are established measures in existing CMS quality programs, and a
central goal of the model is improving care for Medicare beneficiaries
in LEJR episodes. We noted that the HCAHPS Survey measure (NQF #0166)
is also an established measure in the HIQR Program and would not impose
additional reporting burden on hospitals.
We summarize the public comments we received on these alternatives
considered to link quality and payment and provide our responses in
section III.C.5.b.(5)(c)(iii) of this final rule. We note that we will
be adopting the composite score methodology for the CJR model, as
discussed in our responses to comments in section III.C.5.b.(5)(c)(iii)
of this final rule.
(iii) Threshold Methodology and Final Policy To Link Quality and
Payment
For the reasons outlined in the previous section, we did not
propose to use similar methodologies to other CMS programs that would
tie CJR episode reconciliation payment eligibility and reconciliation
payment and Medicare repayment amounts to a composite quality score on
specified quality measures, but as discussed later in this section, we
instead proposed to simply assess performance or achievement on a
quality measure by setting a measure result threshold for each measure
beginning in performance year 1 of the model.
We proposed that the CJR measure result threshold would be based on
the measure results from the HIQR Program, a nationally-established
program, and would use its national distribution of measure results.
These are the same measure results posted on Hospital Compare or in the
Hospital Compare downloadable database (https://data.medicare.gov/data/hospital-compare) for the HIQR Program. We refer readers to the earlier
discussion of the HIQR Program, which utilizes measures to assess most
acute care hospitals in the nation. Determining the CJR model target
thresholds are discussed in the next section.
As previously described, we proposed for the CJR model the
following three required measures to assess LEJR episode quality of
care:
Hospital-level 30-day, all-cause RSRR following elective
primary THA and/or TKA (NQF #1551).
Hospital-level RSCR following elective primary THA and/or
TKA (NQF #1550).
HCAHPS Survey (NQF #0166).
We also proposed to make a voluntary reporting payment adjustment
for CJR participant hospitals who successfully and voluntarily submit
data for the THA/TKA patient-reported outcome-based performance measure
(henceforth referred to as ``THA/TKA voluntary data'') as described in
sections III.C.5.b.(2) and III.D.3.a. of this final rule. We proposed
that participant CJR hospitals must meet or surpass a specified
threshold for each required measure beginning for performance year 1 of
the model in order to be eligible for a reconciliation payment if
actual episode payments are less than the target price. The calculation
of the HCAHPS Survey measure is described in section III.D.2.c. of this
final rule. We proposed to use the individual measure results
calculated as specified in section III.D. of this final rule for the
three required measures to determine hospital eligibility for
reconciliation payment for each performance year of the CJR model.
Also, as discussed in section III.C.4. of this final rule, which
outlines the proposed pricing structure for the CJR model, target
prices for MS-DRG 470-anchored episodes and for MS-DRG 469-anchored
episodes would be calculated for hospitals participating in the model
for an episode of care extending 90 days after discharge from the
anchor hospitalization. Participant hospitals that achieve actual
episode payment below the specified target price for a given
performance period would be eligible for a reconciliation payment,
provided that the participant hospital also met episode quality
thresholds on the three required measures for the performance period.
We proposed to use the following quality criterion to determine if
a participant hospital qualifies for a reconciliation payment based on
the episode quality thresholds on the three required measures:
The hospital's measure result is at or above the 30th percentile of
the national hospital measure results calculated for all HIQR-Program
participant hospitals for each of the three required measures for each
performance period (for a detailed description of how we determined the
performance period and reconciliation payment eligibility, see section
III.C.5. of this final rule).
Using HIQR Program's 3 year rolling period as outlined in section
III.D.2.d. (Applicable Time Period) of this final rule, if a
participant hospital performed at or above the 30th percentile of all
HIQR Program hospitals for each of the three required measures and if
actual episode payment was less than the target price for the specified
performance year, we would make a reconciliation payment to the
hospital. Failure to achieve the threshold on one or more measures
would result in the participant hospital not receiving a reconciliation
payment regardless of whether the actual episode payment was less than
the target price for that performance period. We proposed that for
hospitals with insufficient volume to determine performance on an
individual measure, these hospitals would be considered to be
performing at the threshold level and their results would be publicly
posted with all other participant hospitals' measure results (for a
detailed summary of public reporting, see section III.D.5. of this
final rule). We did not believe it would be appropriate to potentially
penalize high quality, efficient hospitals due to their low volume,
given that meeting the required quality measure thresholds would be
required for reconciliation payment eligibility.
We also proposed for performance years 4 and 5 to increase the
measure result threshold to the 40th percentile. We believed that
increasing the measure result threshold to the 40th percentile
[[Page 73368]]
would encourage participants to strive for continued quality
improvement throughout the 5 performance years of the model. We sought
comment on our proposal to make a reconciliation payment to a
participant hospital that achieves actual episode spending below the
target price for a performance year and performs at or above the 30th
percentile of HIQR program participant hospitals for all three required
quality measures in performance years 1 through 3 or the 40th
percentile in performance years 4 and 5, as well as our proposal to
consider low volume hospitals to be performing at the threshold level.
We proposed to require hospitals to meet the threshold for all
three measures for the following reasons. The measures proposed for
this model are fully developed, NQF-endorsed, and implemented measures
in CMS IPPS programs. These measures are also publicly reported on the
Hospital Compare Web site. Hospitals are familiar with the
complications and readmissions quality measures and with the HCAHPS
Survey, as they are currently included in the HIQR Program, HVBP
program, and HRRP (79 FR 50031, 50062, 50208, 50209 and 50259), and we
believed that there would be minimal additional administrative burden
for hospitals. All three measures are widely utilized nationally; thus,
a nationally-based threshold would be an appropriate benchmark. In
addition, the goal of the CJR model is LEJR episode care redesign that
includes effective care coordination and management of care
transitions. Strategies to prevent and efficiently manage post-
procedure complications and hospital readmissions following an LEJR
procedure are consistent with the goals of the model; a hospital cannot
succeed in this model without engaging in care redesign efforts that
would address aspects of care included in these measures. Failure to
perform successfully on these key quality measures (defined by meeting
the minimum thresholds) would indicate that hospitals are not achieving
quality consistent with the goals of the model to specifically
incentivize greater improvement on these measures than hospitals not
participating in the CJR model, and should not be eligible to receive a
reconciliation payment from Medicare even if reduced episode spending
is achieved. Finally, the approach we proposed is consistent with CMS'
goal of moving hospitals and other providers to value-based payment
that ties payment to quality. In the 5 performance years of this model,
performance on quality measures would only be applied to determining
eligibility for a reconciliation payment; quality measures would not be
used to determine participant hospitals' financial responsibility,
except for the proposed voluntary reporting payment adjustment
described in described in section III.C.5.b.(3) of this final rule. In
essence, participant hospitals' responsibility to repay Medicare the
difference between their target price and their actual episode payment,
should actual episode payments exceed the target price, would not be
impacted by performance on quality measures.
Finally, we proposed to increase the measure result thresholds for
the final 2 performance years of the model, to ensure that CJR
participant hospitals continue to maintain a high level of quality
performance or improve performance on these measures as they gain
experience with implementation of this payment model. More
specifically, we proposed that in order for a participant hospital to
receive a reconciliation payment for actual episode spending that is
less than the target price for performance years 4 and 5, the
participant hospital's measure result must be at or above the 40th
percentile of the national hospital measure results calculated for all
HIQR-Program participant hospitals for each of the three required
measures for each performance period. As previously noted, we proposed
to use the most recently available HCAHPS 4-quarter roll-up to
calculate the HLMR. In the proposed rule, we stated our belief that
holding the participant hospitals to a set measure result threshold for
the first 3 years, and increasing this threshold for performance years
4 and 5, would emphasize the need to maintain and improve quality of
care while cost efficiencies are pursued. We sought comment on our
proposed approach to incorporating quality performance into eligibility
for reconciliation payments under the CJR model for participant
hospitals.
Table 16 displays the proposed thresholds that participant
hospitals must meet on the various measures over the 5 model
performance years.
Table 16--Proposed Thresholds for Required Quality Measures To Determine Participant Hospital Reconciliation Payment Eligibility Over 5 Years
--------------------------------------------------------------------------------------------------------------------------------------------------------
Measure PY1 Threshold PY2 Threshold PY3 Threshold PY4 Threshold PY5 Threshold
--------------------------------------------------------------------------------------------------------------------------------------------------------
Hospital-level 30-day, all-cause 30th percentile....... 30th percentile....... 30th percentile...... 40th percentile...... 40th percentile.
RSRR following elective primary
THA and/or TKA (NQF #1551).
Hospital-level RSCR following 30th percentile....... 30th percentile....... 30th percentile...... 40th percentile...... 40th percentile.
elective primary THA and/or TKA
(NQF #1550).
HCAHPS Survey (NQF #0166).......... 30th percentile....... 30th percentile....... 30th percentile...... 40th percentile...... 40th percentile.
--------------------------------------------------------------------------------------------------------------------------------------------------------
We sought comment on our proposed methodology to utilize quality
measure performance in the payment methodology for CJR, as well as the
proposed thresholds for participant hospital reconciliation payment
eligibility over the performance years of the model.
As discussed in section III.C.5.b.(2) of this final rule, we stated
our belief that hospitals that choose to submit THA/TKA voluntary data
should have the potential to benefit financially through an adjustment
to the payment methodology of the model. We proposed a voluntary
reporting payment adjustment for hospitals that successfully submit the
THA/TKA voluntary data by reducing the discount percentage incorporated
into the target price from 2.0 percent to 1.7 percent. This voluntary
reporting payment adjustment would start in performance year 1 and
would be available through performance year 5 of the model for each
year that the hospital successfully reports THA/TKA voluntary data. As
proposed, reporting THA/TKA voluntary data would not affect eligibility
for a reconciliation payment if actual episode payments are less than
the target price. Participant hospitals would still need to meet the
30th or 40th percentile threshold, as applicable to the given
performance year, on all
[[Page 73369]]
three required quality measures (Table 16).
We considered, but did not propose, two other alternatives to
adjust the payment methodology for participant hospitals that
successfully report the THA/TKA voluntary data as described in section
III.C.5.b.(2) of this final rule. These alternatives would change the
threshold percentile for the three required quality measures or,
alternatively, reduce the number of required measures in which the
threshold must be met provided that successful THA/TKA voluntary data
were reported for a performance year. First, we considered reducing the
threshold for reconciliation payment eligibility that participant
hospitals must meet on the three required quality measures from the
30th percentile threshold to the 20th percentile threshold for
performance years 1, 2, and 3, and from the 40th percentile to the 30th
percentile for performance year. Second, we considered only requiring
hospitals to meet the 30th percentile threshold on two of three outcome
measures for performance years 1, 2, and 3, and the 40th percentile
threshold on two of three outcome measures in performance years 4 and
5. Under both of these alternatives, the eligibility for reconciliation
payments could change based on the THA/TKA voluntary data. We sought
comment on these alternative payment methodology adjustments that could
impact reconciliation payment eligibility, unlike the proposed
voluntary reporting payment adjustment. We note that the other
alternative approaches to encouraging THA/TKA voluntary data reporting
for CJR beneficiaries as discussed in section III.C.5.b.(2) of this
final rule that would not require adjustments to the CJR payment
methodology would also not affect reconciliation payment eligibility.
The following is a summary of the comments received and our
responses on the proposals and alternatives discussed in section
III.C.5. of the proposed rule, including the proposed threshold
methodology for reconciliation payment eligibility, as well as the
alternatives considered that would change the proposed threshold
requirements for participant hospitals that successfully report
voluntary THA/TKA data. As cross-referenced several times earlier in
this section, these comments and our responses also discuss a number of
other proposals, alternatives considered, and other topics related to
linking quality and payment under the CJR model for which we sought
public comment.
Comment: Some commenters questioned the rationale for linking
quality to episode payment for participant hospitals under the CJR
model, arguing that the model should not be focused on individual
hospital performance but on the overall performance of hospitals within
the model, with respect to both the cost and quality of LEJR episode
performance. The commenters observed that BPCI, a bundled payment model
that includes LEJR as the most commonly selected episode and shares
many features with the proposed CJR model, does not tie payment to
quality, although BPCI has quality reporting requirements. They claimed
that CMS, hospitals, and other providers lack experience with pay-for-
performance in a bundled payment context and, therefore, that the level
of performance that should be expected from providers under bundled
payment is not yet understood. A commenter urged CMS to focus on the
big picture in the CJR model, specifically changes in critical aspects
of performance versus the national average for all hospitals along the
continuum, potential changes in the types or nature of services to
beneficiaries undergoing LEJR procedures, and aggregate changes in
patient outcomes. Commenters asserted that tying a hospital's payment
to performance on quality measures was not the only or the best way to
make maintaining or improving LEJR episode quality performance central
to the CJR model. Several commenters stated that implementing pay-for-
performance in an episode payment model was premature, and recommended
that CMS, at most, adopt a pay-for-reporting methodology while quality
data are being collected and analyzed to determine the appropriate
level of quality performance that should be specifically rewarded.
Several commenters urged CMS to delay implementing the proposed
quality performance thresholds for reconciliation payment eligibility
until performance year 2, or later, where the performance period for
measure data would correspond more fully or completely to performance
years under the model. They recommended that the first year or two of
the CJR model should be pay-for-reporting and, because the proposed
THA/TKA Complications measure (NQF #1550) and the THA/TKA Readmissions
measure (NQF #1551) are claims-based measures and the HCAHPS Survey
measure (NQF #0166) is currently administered by hospitals, all
participant hospitals would be expected to meet the CJR model quality
performance requirements, which would only require public reporting in
performance year 1 and possibly performance year 2. Several commenters
in favor of pay-for-reporting in the first performance year asserted
that such an approach would be consistent with other CMS value-based
initiatives. A commenter also claimed that a year of pay-for-reporting
would allow participant hospitals the time to establish internal
systems for analyzing quarterly claims data and provide them with
maximal opportunity to achieve savings that could be invested in these
systems.
Response: We note that we currently have broad experience with pay-
for-performance in Medicare programs, including the HRRP, HVBP Program,
HAC Reduction Program, and the Shared Savings Program. These pay-for-
performance programs have improved the quality of care for Medicare
beneficiaries. For example, since the implementation of HRRP in 2012,
readmission and complications rates for various medical conditions such
as elective THA/TKA have been significantly reduced, thereby resulting
in improvements in the quality of care for Medicare beneficiaries
undergoing LEJR procedures. Furthermore, pay-for-performance is a
feature of a number of Innovation Center models currently in testing.
We refer readers to section III.D.5. of this final rule for further
discussion of public reporting of pay-for-performance data during
performance year 1 of the model.
While the current BPCI models do not specifically link payment to
quality, the Request for Applications describing the BPCI model design
features was released over 4 years ago, in August 2011. We now have two
years of experience with BPCI Model 2 Awardees, the model that most
closely resembles the CJR model, in the risk-bearing period, and the
year 1 BPCI annual evaluation and monitoring report from February 2015
is publicly available on the CMS Web site at: https://innovation.cms.gov/Files/reports/BPCI-EvalRpt1.pdf. We have developed
and adopted a variety of new quality measures in programs and models
since 2011, as well as gained experience with pay-for-reporting and
pay-for-performance in a variety of models and programs involving a
wide range of health care providers and clinical conditions. Given our
extensive experience over the past several years with pay-for-
performance approaches, the availability of existing measures that
reflect the quality of care for elective THA/TKA episodes, and the
breadth of the CJR model, which reaches
[[Page 73370]]
substantially all IPPS hospitals in the selected MSAs, including those
hospitals who otherwise would not participate in a voluntary payment
model, we believe that a pay-for performance approach is necessary and
appropriate beginning in the model's first performance year. IPPS
hospitals have substantial experience over multiple years with CMS
programs that include pay-for-performance and we believe, given the
proposed quality measures for the CJR model, that CJR pay-for-
performance in an episode payment model is a natural extension to
bundled payment of pay-for-performance measures used in current CMS
programs. While we acknowledge that pay-for-performance is not the only
way for a model to heighten a focus on maintaining or improving the
quality of LEJR episode care, we believe that the CJR model, like other
Innovation Center models, should target both improved quality and
reduced costs. Based on our experience in other programs and models, we
believe that pay-for-performance under the CJR model shows great
promise in moving participant hospitals toward greater efficiency and
higher quality of LEJR episodes. In view of successful implementation
of pay-for-performance in other CMS hospital programs using similar
quality measures that has resulted in significant improvements in the
quality of care, we believe IPPS hospitals have sufficient experience
to be ready for pay-for-performance under the CJR model. We expect that
other features of the model design, including our plans for data
sharing, will help participant hospitals committed to care redesign
toward these goals achieve success on both quality and cost performance
for episodes.
We note that the quality measures finalized for the model as
discussed in section III.D.2. of this final rule rely upon data that
hospitals are already submitting and which are already analyzed by CMS
for other programs, so we see no reason to adopt a period of pay-for-
reporting for the first performance year of the model or longer. In the
proposed rule, we considered a similar policy that would not penalize
hospitals with regard to their eligibility for reconciliation payments
for failure to meet the proposed quality measure thresholds in
performance year 1. However, we continue to believe that adopting pay-
for-reporting and not pay-for-performance in performance year 1 or
longer would be inappropriate given that two of the proposed quality
measures are administrative claims-based measures and impose no
additional reporting burden on hospitals, the proposed measures are all
established measures in existing CMS quality programs, and a central
goal of the CJR model is improving care for Medicare beneficiaries in
LEJR episodes. In this regard, the CJR model is different from some
other CMS value-based initiatives where the data for some measures were
newly submitted by providers or newly analyzed by CMS early in the
initiative. Furthermore, we do not believe that participant hospitals
need a year of pay-for-reporting to develop systems for analyzing
episode claims under the model, as we expect hospitals to already be
focused on improving their performance on these measures. The two
measures finalized for the CJR model are aligned with the goals of the
CJR model, are familiar to hospitals based on their use in other CMS
hospital programs, and are aligned with CMS priorities to reduce LEJR
complications while improving the patient experience. Because the
measures reflect these goals and accurately measure hospitals' level of
achievement and improvement on quality outcomes that are important to
beneficiaries undergoing LEJR procedures, we are finalizing our
proposal to implement a pay-for-performance approach in the CJR model
in the first performance year by using quality performance in the
episode payment methodology.
Comment: Some commenters supported the proposed strategy to link
quality to payment through performance thresholds for quality measures
that would result in reconciliation payment eligibility if the
thresholds were met. Several commenters further reasoned that there
should be no need to increase thresholds for reconciliation payment
eligibility over the performance years of the model as CMS had proposed
because the possibility of reconciliation payment provides an adequate
quality improvement incentive. A commenter in favor of the proposed
threshold approach recommended that CMS make the proposed THA/TKA
voluntary patient-reported outcome (PRO) data submission mandatory and
significantly increase incentives around their collection.
A number of commenters estimated that under CMS' proposal, more
than half of the participant hospitals would be ineligible for
reconciliation payments based on their current quality measure
performance, even if episode savings were achieved during a performance
year. The commenters stated that CMS should not use performance
percentiles that would always exclude a predetermined number of
participant hospitals from reconciliation payments, and hold hospitals
to multiple quality performance standards for the same measure
performance under different CMS models and programs. They contended
that performance percentiles, as measures of relative performance, do
not reflect best practices and, therefore, recommended that CMS require
a level of absolute measure performance rather than relative
performance when incorporating quality performance into the payment
methodology under the CJR model. The commenters did not describe the
absolute levels of performance that they would recommend on the quality
measures for the CJR model. Several commenters claimed that the use of
thresholds for reconciliation eligibility disadvantages small hospitals
because only one or two patient instances could change the participant
hospital's performance percentile and, therefore, affect the hospital's
eligibility for reconciliation payments. Other commenters pointed out
that the Shared Savings Program uses quality thresholds, but the
methodology accounts for improvement and the program is voluntary,
while hospital participation would be required in the CJR model and
improvement was not considered in the pay-for-performance methodology
CMS proposed.
Other commenters asserted that CMS' proposal linking quality
measure performance to eligibility for reconciliation payments failed
to reflect the quality of care delivered in the context of the model
due to flaws in the proposed approach to determining participant
hospital performance in relation to the thresholds. The commenters
contended that the proposed methodology to determine performance on
quality measures and link performance to reconciliation payment
eligibility uses arbitrary distinctions in performance among hospitals
that are not borne out by the data or even by CMS's own method of
assigning ratings of performance on the Hospital Compare Web site. They
stated that use of measure result point estimates to determine
performance percentiles under CMS' proposal for performance thresholds
for reconciliation payment eligibility may not be appropriate because:
(1) The THA/TKA Complications measure (NQF #1550) and the THA/TKA
Readmissions measure (NQF #1551) are a ratio comparing observed to
expected outcome, where expected is based on the national performance,
so an individual hospital's performance
[[Page 73371]]
should be assessed within confidence intervals as the measure was
originally specified, tested, and endorsed by the NQF; and (2) there
may not be a clinically and statistically significant difference in the
performance of hospitals immediately above and below the 30th
percentile. The commenters observed that while the HRRP uses measure
result point estimates (the same measure results proposed in section
III.C.5.b.(5)(b) of the proposed rule, which proposed to use the
absolute values of the CJR model participant hospital measure results)
in calculating the excess readmission ratio in accordance with the
statutory provision that defines this ratio, they stated that CMS has
the flexibility under the statutory authority for the CJR model to use
confidence intervals in determining outcome measure results for use in
the payment methodology.
A number of commenters recommended that CMS adopt a threshold
methodology that would utilize the confidence intervals used on the
Hospital Compare Web site that distinguishes performance based on the
three categories of comparison to the national rate on the THA/TKA
Complications measure (NQF #1550) and the THA/TKA Readmissions measure
(NQF #1551) to determine if a participant hospital is eligible for
reconciliation payment. On Hospital Compare, hospitals are grouped into
``no different than national rate,'' ``better than national rate,'' or
``worse than national rate'' for each measure. The commenters
recommending this methodology recommended against use of the HCAHPS
Survey measure (NQF #0166).
Therefore, the commenters maintained that CMS should modify its
proposal and set the quality performance thresholds for reconciliation
payment eligibility at ``worse than national rate,'' rather than at the
30th percentile or above compared to the national rate. Specifically,
the commenters suggested if performance on both the THA/TKA
Complications measure (NQF #1550) and the THA/TKA Readmissions measure
(NQF #1551) is statistically ``worse than national rate,'' then a
participant hospital should not be eligible for reconciliation payment.
Those hospitals that are deemed ``no different than national rate'' or
``better than national rate'' on both measures should automatically be
deemed eligible for any potential reconciliation payment. Some
commenters further urged CMS to also allow participant hospitals
performing ``worse than national rate'' on one or both quality measures
to receive reconciliation payments if CJR model episode savings were
achieved as long as the hospital submits a corrective action plan to
CMS describing their future strategies to improve quality of care,
including contributing a portion of the reconciliation payment to
quality performance improvement strategies. These commenters asserted
that the quality performance thresholds should provide equal financial
opportunity and incentives to all hospital participants.
The commenters claimed that setting quality performance thresholds
at the level of ``worse than national rate'' as displayed on the
Hospital Compare Web site would reduce confusion among the public with
an interest in hospital performance under the CJR model, and strike an
appropriate balance between encouraging hospital to focus on quality
performance and providing hospitals with a fair opportunity to receive
reconciliation payments if episode savings are achieved. A commenter
reported that nationally there are 22 hospitals with performance on the
THA/TKA Complications measure (NQF #1550) or the THA/TKA Readmissions
measure (NQF #1551) that is ``worse than national rate,'' and only one
hospital that is ``worse than national rate'' on both measures.
Response: We appreciate the support of some commenters for our
proposal to set performance thresholds for reconciliation payment
eligibility at the 30th percentile based on the national distribution
of measure results, as well as the concerns expressed by some
commenters about using relative performance to assess participant
hospital episode quality performance in the CJR model. We continue to
believe that relative measure performance is the most appropriate way
to incorporate quality performance into the CJR model because we do not
have sufficient information about hospital performance to set and use
an absolute performance result on each measure. We believe that
hospitals nationally are working to improve their performance on the
quality measures proposed for the CJR model on an ongoing basis and,
thus, while we expect that CJR participant hospitals will have a
heightened focus on improvement on these measures as a result of the
financial incentives resulting from episode payment, we are not yet
certain in this model test what performance outcomes can be achieved
under best practices. Therefore, we will not set absolute performance
results as quality thresholds for reconciliation payment eligibility
under the CJR model. We continue to believe that relative measures of
quality performance are most appropriate for the CJR model as hospitals
continue to make progress nationally on improving patient outcomes.
Furthermore, we will not make THA/TKA voluntary PRO and limited
risk variable data submission mandatory and increase the incentives
around their collection in the CJR pay-for-performance methodology as
recommended by a commenter. This measure remains under development, and
we want to encourage robust hospital reporting to speed measure
development, but the measure is not yet ready to have its results
incorporated in the CJR model methodology in the manner recommended by
the commenter. We refer readers to section III.D.3.a. of this final
rule for further discussion of our future plans to incorporate PRO
measure results in the CJR pay-for-performance methodology.
We appreciate the suggestions of many commenters that we utilize
outcome measure thresholds of ``worse than national rate'' as displayed
on the Hospital Compare Web site to set the thresholds for
reconciliation payment eligibility. For purposes of the Hospital
Compare Web site, we made a specific choice around categorizing
hospitals to performance categories for public display of hospital
measure results in order to display a high level of statistical
certainty about differences in hospital quality performance that would
be reviewed by beneficiaries and other members of the public.
Specifically for the Hospital Compare Web site, to assign hospitals to
performance categories, the hospital's interval measure estimate is
compared to the national rate. If the 95 percent interval estimate
includes the national observed rate for that measure, the hospital's
performance is in the ``no different than national rate'' category. If
the entire 95 percent interval estimate is below the national observed
rate for that measure, then the hospital is performing ``better than
national rate.'' Finally, if the entire 95 percent interval estimate
for the hospital is above the national observed rate for that measure,
the hospital's performance is ``worse than national rate.''
Regarding the commenter who suggested that an individual hospital's
performance on a measure should be assessed within confidence intervals
as the measure was originally specified, tested, and endorsed by the
NQF, we note that the THA/TKA Complications measure (NQF #1550) was not
endorsed by the National Quality Forum for its use with an interval
estimate, since NQF endorses measure specifications and not the use of
measures in various programs
[[Page 73372]]
or models. We acknowledge that CMS uses outcome measure ratios and
rates in different ways that may lead to some confusion for
stakeholders. We also want to clarify that during measure development
of the THA/TKA Complications measure (NQF #1550) and the THA/TKA
Readmissions measure (NQF #1551), these measures were developed and
tested to yield risk-standardized ratios, which are multiplied by the
national rate and reported as risk-standardized rates in Hospital
Compare, and that the 95 percent interval estimate is specifically used
to display the measure for public reporting on the Hospital Compare Web
site. We chose to use rates on the Hospital Compare Web site because we
believe that presentation of a rate on the Hospital Compare Web site is
better understood by consumers than a measure result expressed as a
predicted-to-expected ratio. For purposes of the CJR model, we will
also use risk-standardized rates for the THA/TKA Complications measure
(NQF #1550) as discussed in section III.D.2.a. of this final rule. We
discuss our final decision not to adopt the THA/TKA Readmissions
measure (NQF #1551) for this model in section III.D.2.b. of this final
rule.
We note that ``worse than national rate'' is the quality
performance threshold for reconciliation payment eligibility
recommended by many commenters as the statistically certain measure of
poor hospital quality performance, yet almost every hospital in the
country already exceeds this level on the THA/TKA Complications measure
(NQF #1550) and the THA/TKA Readmissions measure (NQF #1551).
Nationally, we estimate that only 29 hospitals currently perform at
``worse than national rate'' on one or more of these measures, a number
that is similar to the estimate provided by a commenter. Thus, based on
current measure performance only a very small number of hospitals would
fail to meet the quality performance thresholds for reconciliation
payment eligibility recommended by many commenters. We do not believe
that adopting ``worse than national rate'' as the threshold for
reconciliation payment eligibility, or applying no threshold as
recommended by some commenters if a hospital ``worse than national
rate'' submits a corrective action plan to CMS, would further encourage
quality improvement or maintenance of high performance for participant
hospitals in the CJR model, beyond the incentives that already exist in
CMS programs.
Either incorporating a ``worse than national rate'' threshold or
applying no threshold would essentially eliminate pay-for-performance
under the CJR model, which would not be consistent with our final
decision discussed in the prior response to public comments to
incorporate a pay-for-performance methodology in the CJR model
beginning in performance year 1.
Regarding the recommendations to use interval estimates to identify
hospitals with performance ``worse than national average'' as the most
equitable approach to identifying statistically valid poor hospital
performance on quality measures, we have previously explained our
position on the use of interval estimates when determining payment
outcomes for hospital performance on measures. Specifically for the
HRRP where we use point estimates for quality measure performance, we
acknowledged outcome measures of risk-standardized condition-specific
readmission rates to be statistical measures (77 FR 53394). We also
recognized that statistical measures will include some degree of
variation and stated that other Medicare programs use similar
statistical measures as part of their programs, so any consideration of
the use of interval estimates with respect to the HRRP may have
implications for other programs (77 FR 53394). Despite this reality, we
finalized the HRRP methodology for quality measure performance (76 FR
51673), which results in the use of a point estimate for a hospital's
excess readmission ratio (77 FR 53394), and we use point estimates in
other CMS programs that rely upon statistically-based outcome measures,
such as the HVBP Program. (76 FR 26504). We note that over the past
several years the HRRP has shown that use of point estimates in the
program has still led to improvement in hospital readmission
rates.42 43 We, therefore, continue to believe that quality
performance can be assessed by measure result point estimates that do
not rely on the statistical certainty of interval estimates which may
fail to identify real, clinically meaningful differences in hospital
measure performance.
---------------------------------------------------------------------------
\42\ Gerhardt G, Yemane A, Hickman P, Oelschlaeger A, Rollins E,
Brennan N. Data Shows Reduction in Medicare Hospital Readmission
Rates During 2012. Medicare & Medicaid Research Review 2013: 3(2):
E1-E12.
\43\ Medicare Hospital Quality Chartbook 2014: Performance
Report on Outcome Measures. Prepared by Yale New Haven Health
Services Corporation Center for Outcomes Research and Evaluation for
the Centers for Medicare and Medicaid Services 2014:23. https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/HospitalQualityInits/Downloads/Medicare-Hospital-Quality-Chartbook-2014.pdf.
---------------------------------------------------------------------------
However, we agree with the commenters that our proposal to set
performance thresholds for reconciliation payment eligibility at the
30th percentile does not reflect the statistical certainty of intervals
around hospital measures performance results and may not adequately
account for the variation that occurs in risk-standardized rates like
the THA/TKA Complications measure (NQF #1550) and the THA/TKA
Readmissions measure (NQF #1551) proposed for use in the CJR model. We
also agree with the commenters that setting required measure
performance thresholds for reconciliation eligibility may provide
insufficient quality and cost episode improvement incentives for some
participant hospitals in the CJR model. We estimate that based on their
current quality measure performance one-third of participant hospitals
would not be eligible for reconciliation payments under our proposed
thresholds for the three required quality measures, even if those
hospitals achieved savings beyond the target price. While our estimate
is lower than the estimate of more than 50 percent of participant
hospitals that was provided by some commenters, we agree with the
commenters that the proposed methodology would not provide significant
quality and cost episode improvement incentives for a substantial
percentage of participant hospitals in the CJR model.
We continue to believe there are real, clinically meaningful
differences that are important to Medicare beneficiaries in hospital
performance on the THA/TKA Complications measure (NQF #1550) finalized
for this model, as well as opportunities for improvement, which are not
recognized by the statistical certainty approach that we use for the
Hospital Compare Web site but can be appropriately recognized by
assigning hospitals to measure performance percentiles, such as we
proposed for the CJR model. We also believe it is appropriate to make
different choices for estimating measure performance for model or
program payment policies, depending on the context. For example, in the
CJR model where we proposed to use quality performance in the payment
methodology of a model specifically focused on quality outcomes
directly addressed by the proposed measures, we believe a different
approach to estimating performance differences than the statistical
certainty approach used on the Hospital Compare Web site would allow us
to observe and reward real quality performance incentivized by episode
payment that otherwise would
[[Page 73373]]
be unrecognized. Therefore, we continue to believe that assigning
hospital measure results to a performance percentile in comparison with
the national distribution is an appropriate strategy to categorize and
recognize hospitals achieving different levels of quality performance
on the measures. We note that assigning hospitals to performance
percentiles based on their measure result point estimates, and then
using deciles of performance in a pay-for-performance model payment
methodology that does not use hospital performance percentiles as
thresholds, would help account for some of the statistical variation
that could occur in measure result point estimates and reduce the
likelihood that we would consider variation to be a real change in
measure performance. Therefore, we are finalizing our proposal
discussed in section III.C.5.b.(5)(b) of this final rule to assign each
participant hospital's measure point estimate to a performance
percentile based on the national distribution of measure results.
However, because the statistical uncertainty in measure results
increases the challenge of determining the most equitable performance
threshold, below which the level of performance is no longer in the
best interest of the beneficiary, as well as our interest in providing
quality and cost episode improvement incentives for all participant
hospitals under the CJR model, we are not finalizing our proposal to
set performance percentile thresholds for reconciliation payment
eligibility in the CJR model. Because we are not using performance
percentile thresholds for reconciliation payment eligibility in the CJR
model's final pay-for-performance methodology, we will neither be
setting nor changing such thresholds in the context of the model's
payment methodology over the model's performance years. We will be
adopting the composite score methodology, as discussed in the following
response to comments.
Comment: Many commenters offered a variety of other perspectives on
CMS' proposal and alternatives considered to link quality and payment
in the CJR model. Several commenters recommended that CMS tie a portion
of the reconciliation payment to the proposed quality measure threshold
performance for each of the 3 measures, specifically: \1/3\ of the
reconciliation payment would be made if one of the quality measure
performance thresholds is achieved, \2/3\ of the reconciliation payment
would be made if two of the quality measure performance thresholds were
achieved, and the full reconciliation payment would be made if all
three quality measure performance thresholds were achieved. These
commenters urged CMS to accompany this policy with no repayment
responsibility in all years for participant hospitals that achieved all
three quality measure performance thresholds, even if actual episode
spending exceeds the target price. The commenters reasoned that this
revised approach would provide the potential for more financial reward
for participant hospitals providing high quality episode care, and
limit the financial risk for participant hospitals furnishing high
quality care.
Some commenters who opposed the use of performance percentiles on
quality measures that were included in CMS' threshold proposal also
opposed the alternative composite quality score approach for the same
reasons, mainly because it would rely on performance percentiles
derived from point estimates of quality measure performance to award
points toward the composite quality score. However, a number of
commenters favored the use of a composite quality score to link quality
and payment, rather than thresholds for reconciliation payment
eligibility, because the composite quality score would provide an
opportunity for more participant hospitals to receive reconciliation
payments if episode savings were achieved and would vary a participant
hospital's financial reward in direct relationship to its episode
quality performance.
Other commenters suggested further refinements to the composite
score methodology, including different weighting of the measures. A
commenter urged CMS to reconsider the composite score weights discussed
in the proposed rule, and establish them as: HCAHPS Survey 25 percent;
Complications 50 percent, and Readmissions 25 percent. The commenter
reasoned that the Readmissions measure weight should be reduced due to
the measure's use in other CMS programs. Finally, the commenter
recommended that CMS modify the minimum percentile to receive quality
measure score points to the 10th percentile, and add a band for
incremental performance between the 10th percentile and the current
national average performance, where an increasing proportion of any
reconciliation payment from episode savings would be paid. The
commenter urged CMS to pay the full reconciliation payment for episode
savings beyond the target price to any hospital with quality
performance above the national average.
Several commenters, who also recommended additional quality
measures, stated that CMS should place greater weight in the composite
quality score on ambulation, followed by pain experience and
management, and finally followed by the Complications, Readmissions,
and HCAHPS Survey measures in descending order of importance when
calculating the composite quality score. Another commenter contended
that CMS should increase the HCAHPS Survey measure weight and make the
submission of THA/TKA voluntary PRO and limited risk variable data
mandatory for performance year 2 and subsequent years, to increase the
effect of patient experience on the financial opportunity of
participant hospitals under the CJR model. A commenter recommended
that, rather than participant hospital percentiles of performance
compared to the national distribution of hospital measure performance,
CMS use hospital-specific metrics that should be able to ``top out''
with high quality performance. The commenter suggested that CMS could
measure performance annually on each measure for every participant
hospital, and establish a minimum and maximal optimal measure result
for the measure that could guide performance scoring. Finally, a
commenter urged CMS to reconsider awarding the 50th percentile of
performance for individual measure scores that make up the composite
quality score without actual measure results, as CMS would not be
assured that those hospitals were providing good quality care.
A number of commenters recommended that CMS vary the discount
percentage incorporated in the target price at reconciliation based on
the participant hospital's level of quality performance. Other
commenters stated that high-performing hospitals on quality should have
opportunities for greater reconciliation payments if that high-quality
performance is sustained, recommending that CMS include no discount in
the target price or a smaller discount percentage for these hospitals
than would be used for hospitals with lower levels of quality
performance. Finally, several commenters contended that hospitals
furnishing care of lower quality should incur financial penalties based
on their quality performance.
Response: We appreciate the suggestions of the commenters on
features of the CJR pay-for-performance methodology that would be
valuable in providing the most robust incentives for quality
improvement or maintenance of high-quality performance for all CJR
participant hospitals. As described
[[Page 73374]]
previously in this section, we are finalizing our proposal discussed in
section III.C.5.b.(5)(b) of this final rule to assign each participant
hospital's quality measure result point estimate to a performance
percentile based on the national distribution of measure results, but
we are not finalizing our proposal to set performance percentile
thresholds for reconciliation payment eligibility under the CJR model.
We agree with many of the commenters that the pay-for-performance
methodology under the CJR model should provide the opportunity for
financial reward to participant hospitals with an acceptable level of
episode quality performance, while also including an incentive for
quality improvement if the hospital's current level of quality is low.
We also agree with the commenters who stated that the CJR pay-for-
performance methodology should provide the potential for increased
financial reward for participant hospitals that furnish higher-quality
care through payments that would either increase the reconciliation
payment to the hospital or reduce the hospital's repayment
responsibility depending on the hospital's episode cost performance for
the model performance year. However, we do not agree with the
commenters who recommended that those hospitals achieving high-quality
episode performance should not be expected to improve their episode
efficiency because we believe that substantial opportunities to reduce
Medicare expenditures in the context of high-quality episode care exist
for virtually all participant hospitals. Innovation Center models are
generally designed with a focus on both reducing costs and improving
the quality of care for model beneficiaries. Therefore, we will
continue to incorporate a discount percentage into the target price for
every participant hospital as discussed in section III.C.4.b. of this
final rule in the methodology for setting target prices for the CJR
model.
We also do not agree with the commenters who recommended that
hospitals with low-quality performance incur financial penalties under
the model, because the model is specifically designed to reward episode
quality performance and cost savings. We discussed an alternative under
the composite quality score approach in section III.C.5.b.(5)(c)(ii) of
the proposed rule that would impose a quality penalty on hospitals with
a low composite quality score that would otherwise lead them to be
ineligible for reconciliation payments (80 FR 41243 through 41244).
Under this alternative, we would reduce the effective discount
percentage for these hospitals, thus imposing a 1 percent penalty for
their low quality performance, regardless of whether or not episode
savings are achieved beyond the target price. We continue to believe
that while this approach would provide stronger incentives for quality
improvement for participant hospitals with low performance on quality,
even if they did not expect to be able to reduce actual episode
spending below the target price, it could provide reconciliation
payments even to those hospitals that did not achieve acceptable
quality performance. Therefore, we believe that the risk to
beneficiaries and CMS of these low-quality performing hospitals
achieving savings in the context of poor quality care by sharply
decreasing utilization to levels that reflect stinting on medically
necessary care are so significant that adopting this alternative would
not be appropriate. Instead, we will provide the opportunity for
quality incentive payments that relate to the participant hospital's
overall quality performance and improvement on the model's quality
measures as reflected in the hospital's composite quality score that we
will calculate for each performance year at the time reconciliation is
carried out for that performance year.
As previously discussed, we are not finalizing our proposal to set
performance percentile thresholds for reconciliation payment
eligibility in the CJR model. Based on public comments that addressed
our reconciliation payment eligibility threshold proposal, the
alternatives considered, and the objectives of the pay-for-performance
methodology under the CJR model, we believe that the composite score
methodology that we discussed in the proposed rule that would determine
reconciliation payment eligibility and change the effective discount
percentage experienced by a participant hospital at reconciliation is
the most appropriate pay-for-performance approach to achieve the
objectives previously described. While the majority of commenters
favored the threshold proposal with modification to adopt much lower
quality thresholds of ``worse than national average'' performance that
would result in eligibility of almost all participant hospitals for
reconciliation payments if savings were achieved beyond the target
price, a substantial percentage of commenters supported the composite
score methodology or another approach that would provide greater
financial reward to participant hospitals for higher quality
performance. The composite score methodology omits the proposed 30th
percentile performance minimum standard for all required quality
measures as a definitive cut-off point for eligibility for
reconciliation payments and replaces it with a quality scoring system
that provides hospitals with multiple possible combinations of quality
performance that can result in a hospital reaching eligibility for the
reconciliation payment, thereby providing opportunity for
reconciliation payments to hospitals achieving an acceptable or higher
level of overall quality performance. This methodology also provides an
incentive structure that acknowledges that high-quality episodes should
be rewarded with greater financial opportunity under the CJR model,
either through increased reconciliation payments or reduced repayment
responsibility, depending upon the participant hospital's episode cost
performance during a performance year. We appreciate the support of the
commenters who share our view on the merits of the composite score
approach.
We discussed in the proposed rule, but did not propose, a composite
quality score methodology because at the time we believed that such an
approach could diminish the importance of each quality measure given
the limited number in the model, that the measures represented clinical
goals that should be achievable by all hospitals participating in the
model, and that a threshold methodology would provide the most
achievable and predictable quality targets for the CJR model that
requires participation (80 FR 41244). However, we agree with the
commenters that the proposed threshold methodology would not
sufficiently incentivize and reward quality improvement and acceptable
or high quality performance under the CJR model for a substantial
proportion of participant hospitals even if savings beyond the target
are achieved. In contrast, the composite quality score methodology will
allow performance on each required quality measure to be meaningfully
valued in the model's pay-for-performance methodology, incentivizing
and rewarding cost savings in relation to the quality of episode care
provided by the participant hospital. Despite the small number of final
CJR model quality measures, the measures represent both clinical
outcomes and patient experience, and each carries substantial value in
the composite quality score. Participant hospitals could achieve an
acceptable or good composite quality score despite performing well on
one of the required measures but achieving lower
[[Page 73375]]
performance on the other required measure. Thus, while quality
performance on each measure would not be required for reconciliation
payment eligibility, performance on each measure would be valued in the
composite quality score methodology. Based on our review of the public
comments, including the technical issues raised about measure result
statistical variation in point estimates, we believe that a participant
hospital's overall quality performance under the CJR model should be
considered in the pay-for-performance approach, rather than performance
on each quality measure individually determining the financial
opportunity under the model. The composite score methodology also
provides a framework for incorporating additional measures of
meaningful outcomes for LEJR episodes, as discussed in section III.D.3.
of this final rule, in the CJR pay-for-performance methodology in the
future. Finally, while we believe that high quality performance on all
of the measures represents goals of clinical care that should be
achievable by all CJR model participant hospitals that heighten their
focus on these measures, we appreciate that many hospitals have room
for significant improvement in their current measure performance. The
composite score methodology, which does not set performance thresholds
for each measure for reconciliation payment eligibility, will provide
the potential for financial reward for more participant hospitals that
reach overall acceptable or better quality performance, thus
incentivizing their continued efforts to improve the quality and
efficiency of episodes.
In the proposed rule, we presented weights for the proposed quality
measures in the composite quality score and note that we need to revise
those weights for the final rule given that we are not adopting the
THA/TKA Readmissions measure (NQF #1551) for the CJR model. As some
commenters encouraged us to assign more weight than we discussed in the
proposed rule to measures of patient experience and functional status,
we believe it would be most appropriate to redistribute the 20 percent
measure weight from the THA/TKA Readmissions measure (NQF #1551)
equally to the two required measures we adopted for the model,
specifically assigning an additional 10 percent weight each to the THA/
TKA Complications measure (NQF #1550) and the HCAHPS Survey measure
(NQF #0166). We note that the overall distribution of measure weight in
the composite quality score would provide 50 percent weight to health-
related conditions that arise following LEJR surgery (through the THA/
TKA Complications measure (NQF #1550)) and 50 percent weight to patient
experience (through the HCAHPS Survey measure (NQF #0166) and THA/TKA
voluntary PRO and limited risk variable data submission). We believe
this weighting appropriately balances patient experience with
meaningful health outcomes for beneficiaries, by providing equal weight
in the composite quality score to both dimensions, consistent with the
patient-centered priorities for quality measurement that some
commenters urged us to adopt.
The final measure weights in the composite quality score for the
CJR model are displayed in Table 17.
Table 17--Final Quality Measure Weights in Composite Quality Score
------------------------------------------------------------------------
Weight in
composite
Quality measure quality score
(%)
------------------------------------------------------------------------
Hospital[dash]level RSCR following elective primary THA 50
and/or TKA (NQF #1550).................................
HCAHPS Survey (NQF #0166)............................... 40
THA/TKA voluntary PRO and limited risk variable data 10
submission.............................................
------------------------------------------------------------------------
Consistent with the scoring of individual measure percentile
performance as assigned to a decile, as we discussed in the proposed
rule, and our final decision to use performance percentiles for both
required quality measures, as discussed earlier in this section, for
each model performance year we will assign individual measure
performance scores to each participant hospital based on the values in
Table 18. These individual measure performance scores have been set to
reflect the final measures weights in Table 17 so they can ultimately
be summed without adjustment in calculating the composite quality
score. The absolute differences for each performance decile among the
two measures reflect the intended weight of the measure performance in
the composite quality score.
As we further discussed in the proposed rule, we will assign
participant hospitals without a measure value to the 50th performance
percentile (80 FR 41242). A participant hospital will not have a value
for the THA/TKA Complications measure (NQF #1550) if the hospital does
not meet the minimum case count of 25 cases in the 3 year measurement
period which is required to ensure reliability of the measure result.
In section III.D.4. of this final rule, we discuss the 25 case minimum
and note that this quality measure case minimum is the same as the
minimum used in the HIQR Program (75 FR 50185 and 76 FR 51609). We
further note that as described in section III.D.2.a. of this final
rule, the THA/TKA Complications measure (NQF #1550) only includes
primary elective THA/TKA procedures which are a subset of the LEJR
episodes included in the CJR model. As a result, it is possible for a
CJR participant hospital to have LEJR episodes but no cases that meet
the criteria to be included in the THA/TKA Complications measure (NQF
#1550). Regarding the HCAHPS Survey measure (NQF #0166), a participant
hospital will not have a reported value for the HCAHPS Survey measure
(NQF #0166) if it did not meet the minimum of 100 completed surveys and
did not have 4 consecutive quarters of HCAHPS data, which are required
to ensure the reliably of the measure. In section III.D.4. of this
final rule, we discuss the 100 case minimum and note that this quality
measure case minimum is the same as the minimum used in the HVBP
Program (76 FR 26502).
Moreover, we note that in rare cases, if CMS identifies an error in
the data used to calculate the measure resulting in suppression of the
data for public reporting on Hospital Compare, a hospital will not have
a value for the THA/TKA Complications measure (NQF #1550) or HCAHPS
Survey measure (NQF #0166) measure and would be assigned to the 50th
performance percentile of the measure, as applicable.
Lastly, new hospitals that are identified as participants in the
CJR model may not have sufficient data within the measure performance
periods to calculate a value for the THA/TKA Complications measure (NQF
#1550) or HCAHPS Survey measure (NQF #0166) and would be assigned to
the 50th performance percentile of the measure, as applicable.
For hospitals that are in the situations previously described, we
will assign participant hospitals without a measure value the 50th
performance percentile of the measure result distribution. We intend to
publicly report the measure results used to calculate the composite
quality score for all participant hospitals. While we understand the
concerns of the commenter that we have no actual outcome measure
results for certain hospitals, we continue to believe it would be
unfair to disadvantage a participant hospital in the pay-for-
[[Page 73376]]
performance methodology of this model based on insufficient number or
no applicable cases alone and, therefore, we will assign these
hospitals to the 50th performance percentile, which is the middle of
the national measure performance distribution, and assign quality
performance points to the participant hospital accordingly based on the
performance percentile scale identified in Table 18.
Moreover, as we also discussed in the proposed rule, we will not
assign individual measure score performance points to a hospital
categorized to a performance percentile below the 30th percentile
because we do not believe lower performance percentiles reflect quality
performance such that they should be assigned any individual quality
measure score performance points for LEJR episodes under the CJR model.
Although a commenter suggested providing individual quality measure
score points to hospitals beginning at the 10th performance percentile,
we continue to disagree that performance below the 30th performance
percentile reflects sufficient quality on these two well-established
measures in CMS hospital programs to award quality measure points. We
note, however, that a participant hospital assigned no performance
points for one required quality measure could still be eligible for
reconciliation payments if episode savings are achieved beyond the
target price as long that hospital has achieved a sufficient
performance percentile on the other required quality measure.
Additionally, we will assign a measure quality score of two points
for participant hospitals that successfully submit THA/TKA voluntary
PRO and limited risk variable data and 0 points for participant
hospitals that do not successfully submit these data. The requirements
for successful data submission in each performance year are discussed
in section III.D.3.a. of this final rule. While we discussed awarding 1
point for successful submission in the proposed rule, this was an error
because we also stated that the submission of THA/TKA voluntary PRO and
limited risk variable data would constitute 10 percent of the composite
quality score, which is based on a maximum score of 20 points. Two
points is the correct value that reflects 10 percent of the maximum
score.
Table 18--Final Individual Scoring for Two Required Quality Measures
----------------------------------------------------------------------------------------------------------------
THA/TKA Complications HCAHPS Survey measure
measure (NQF #1550) (NQF #0166) quality
quality performance performance score
Performance percentile score (points) (1 (Points) (0.8
additional point additional point
available for available for
improvement) improvement)
----------------------------------------------------------------------------------------------------------------
>=90th........................................................ 10.00 8.00
>=80th and <90th.............................................. 9.25 7.40
>=70th and <80th.............................................. 8.50 6.80
>=60th and <70th.............................................. 7.75 6.20
>=50th and <60th.............................................. 7.00 5.60
>=40th and <50th.............................................. 6.25 5.00
>=30th and <40th.............................................. 5.50 4.40
<30th......................................................... 0.00 0.00
----------------------------------------------------------------------------------------------------------------
We will sum the performance and, if applicable, improvement scores
(as discussed in the following response to comments) on the two
required quality measures with the score on the successful submission
of THA/TKA voluntary PRO and limited risk variable data to calculate a
composite quality score for each performance year for a participant
hospital. This composite quality score will then be incorporated into
the pay-for-performance methodology for the CJR model that assigns a
participant hospital to a quality category at the time of
reconciliation for a performance year. We will first require a minimum
composite quality score for reconciliation payment eligibility if the
participant hospital's actual episode spending is less than the target
price and second, make quality incentive payments that change the
effective discount percentage included in the target price experienced
by the hospital in the reconciliation process. Thus, hospitals with
higher composite quality scores may financially benefit from their
episode quality performance compared to hospitals with lower quality
performance in a different quality category, regardless of whether
episode savings are achieved. For example, in performance year 4,
actual episode spending for a hospital with an excellent composite
quality score would be reconciled to a target price reflecting a 3.0
percent discount factor, but then the participant hospital would
receive a quality incentive payment of 1.5 percent of the hospital's
pre-discount target price that would either increase the hospital's
reconciliation payment if savings were achieved or reduce the
hospital's repayment responsibility if actual episode spending exceeded
the target price. In contrast, actual episode spending for a hospital
with an acceptable composite quality score would be reconciled to a
target price reflecting a 3.0 percent discount factor, but then the
participant hospital would not receive any quality incentive payment.
Thus, the excellent quality performance by the participant hospital in
the excellent quality category would provide a financial benefit to
that hospital of 1.5 percent of the pre-discount target price,
regardless of whether the hospital achieved savings for episodes.
As discussed in the proposed rule regarding the composite quality
score alternative approach to pay-for-for performance under the CJR
model, the discount for all participant hospitals included in the
target prices will be 3.0 percent. We refer readers to section
III.C.4.b.(9) of this final rule for further discussion of the discount
factor included in the target prices. Hospitals that provide high-
quality episode care will have the opportunity to receive quality
incentive payments that will reduce the effective discount percentage
as displayed in Tables 19, 20, and 21, based on their composite quality
score that places each hospital into one of four quality categories,
specifically ``Below Acceptable,'' ``Acceptable,'' ``Good,'' and
``Excellent.'' Three tables are required to display the effective
discount percentages for each quality category due to the phase-in of
hospital repayment responsibility from no responsibility in performance
year 1, to partial responsibility in performance
[[Page 73377]]
years 2 and 3, and finally full responsibility in performance years 4
and 5 as discussed in section III.C.4.b.(9) of this final rule.
Depending on the participant hospital's actual composite quality score
that places the hospital in a quality category, quality incentive
payments will be valued at 1.0 percent to 1.5 percent of the hospital's
benchmark episode price (that is, of the expected episode spending
prior to application of the discount factor to calculate a target
price).
While the final policy to place participant hospitals into one of
four quality categories to determine reconciliation payment eligibility
and, if applicable, the value of quality incentive payments is the same
as that presented in the proposed rule, the applicable scoring ranges
for each quality category discussed in the proposed rule are different
from the ranges we are finalizing in Tables 19, 20, and 21 for several
reasons. First, we are not finalizing the THA/TKA Readmissions measure
(NQF #1551) as part of the CJR model's pay-for-performance methodology,
requiring us to redistribute the 20 percent weight in the composite
quality score that we had presented for that measure. That
redistribution is discussed earlier in this section. Second, our final
policy includes quality improvement points in addition to quality
performance points in the composite quality score, as discussed in the
following response to comments. We estimate based on current quality
measure performance that approximately 4 percent and 7 percent of all
participant hospitals would qualify for improvement points on the
HCAHPS Survey measure (NQF #0166) and the THA/TKA Complications measure
(NQF #1550), respectively.
The most significant reason for a change in the scoring ranges for
the quality categories in the final rule is due to our strengthening
the financial incentives for participant hospitals under the CJR model
through the composite quality score pay-for-performance methodology to
improve quality performance or maintain high-quality performance for
episodes. We agree with the commenters who urged us to ensure that most
participant hospitals that achieve savings beyond the discount included
in the target price receive reconciliation payments if their episode
quality is acceptable and that we provide the potential for
significantly greater financial reward for hospitals that achieve or
maintain high quality episode performance. Therefore, we have
reassessed our quality performance expectations for each quality
category by examining the current quality measure performance of
participant hospitals in the context of the national measure
performance distribution. We have adjusted the final scoring ranges to
balance the quality performance required for each quality category with
the financial incentives (reconciliation payment eligibility and
quality incentive payments) to achieve the quality performance required
for the category. In the context of our final composite quality score
ranges for each quality category, we estimate that approximately 10
percent of participant hospitals placed in the ``Below Acceptable''
quality category based on their composite quality score would not be
eligible for reconciliation payments based on their current quality
measure performance, compared to 14 percent based on the proposed rule
composite score measures and ranges. Similarly, we estimate that
approximately 12 percent of participant hospitals would be eligible for
reconciliation payments through placement in the ``Acceptable'' quality
category but would not receive quality incentive payments based on
their current quality performance, compared to 30 percent in this
quality category based on the proposed rule measures and score ranges.
We estimate that the large majority of participant hospitals,
specifically 64 percent, would be placed in the ``Good'' quality
category based on their current quality performance and would,
therefore, be eligible for reconciliation payments and for quality
incentive payments valued at 1.0 percent of the hospital's benchmark
episode price, compared to 46 percent based on the proposed rule
measures and score ranges. Finally, we estimate that 14 percent of
participant hospitals through placement in the ``Excellent'' quality
category would be eligible for reconciliation payments and for quality
incentive payments valued at 1.5 percent of the hospital's benchmark
episode price, compared to an estimate of 10 percent based on the
proposed rule measures and score ranges. Thus, for each quality
performance category, we have slightly lowered our quality performance
expectations from our proposed rule discussion of the composite quality
score approach, in order to provide participant hospitals with more
significant financial incentives to improve their quality and cost
performance under the CJR model, as well as their incentives to
maintain high-quality performance.
Hospitals will be required to achieve a minimum composite quality
of score greater than or equal to 4.0 to be eligible for a
reconciliation payment if actual episode spending is less than the
target price. Participant hospitals with below acceptable quality
performance reflected in a composite quality score less than 4.0 will
be assigned to the ``Below Acceptable'' quality category and will not
be eligible for a reconciliation payment if actual episode spending is
less than the target price. A level of quality performance that is
below acceptable will not affect participant hospitals' repayment
responsibility if actual spending exceeds the target price. We believe
that the requirement that this minimum level of LEJR episode quality be
achieved for reconciliation payments to be made is important to protect
beneficiaries from excessive reductions in utilization that may result
from the financial incentives in an episode payment model to lower
actual episode spending. Under the pay-for-performance methodology of
the CJR model, this policy should encourage participant hospitals to
focus on appropriate reductions or changes in utilization that lead to
high quality, more efficient care. Based on current hospital quality
measure performance, approximately ninety percent of participant
hospitals would have a composite quality score of greater than or equal
to 4.0 and be eligible for reconciliation payments based on acceptable
or better quality performance.
Participant hospitals with an acceptable composite quality score of
greater than or equal to 4.0 and less than 6.0 will be assigned to the
``Acceptable'' quality category and be eligible for a reconciliation
payment if actual episode spending is less than the target price
because their quality performance is at the acceptable level
established for the CJR model. They will not be eligible for a quality
incentive payment at reconciliation because their episode quality
performance, while acceptable, is not good or excellent. Therefore,
these hospitals will be eligible to receive a reconciliation payment if
actual episode spending is less than the target price.
Participant hospitals with a good composite quality score of
greater than or equal to 6.0 and less than or equal to 13.2 will be
assigned to the ``Good'' quality category and be eligible for a quality
incentive payment at reconciliation if actual episode spending is less
than the target price because their quality performance exceeds the
acceptable level required for reconciliation payment eligibility under
the CJR model. In addition, they will be eligible for a quality
incentive payment at reconciliation for good quality performance that
equals 1.0 percent of the participant hospital's benchmark
[[Page 73378]]
price, thereby changing the effective discount percentage included in
the target price experienced by the hospital at reconciliation. Thus,
participant hospitals achieving this level of quality for LEJR episodes
under CJR will either have less repayment responsibility (that is, the
quality incentive payment will offset a portion of their repayment
responsibility) or receive a higher payment (that is, the quality
incentive payment would add to the reconciliation payment) at
reconciliation than they would have otherwise based on a comparison of
actual episode spending to the target price that reflects a 3.0 percent
discount. Therefore, these hospitals will be eligible to receive a
reconciliation payment if actual episode spending is less than the
target price and will also receive a quality incentive payment.
Finally, hospitals with an excellent composite score quality score
of greater than 13.2 will be assigned to the ``Excellent'' quality
category and be eligible to receive a reconciliation payment if actual
episode spending is less than the target price because their quality
performance exceeds the acceptable level required for reconciliation
payment eligibility under the CJR model. In addition, they will be
eligible for a higher quality incentive payment at reconciliation for
excellent quality performance that equals 1.5 percent of the
participant hospital's benchmark price, thereby changing the effective
discount percentage included in the target price experienced by the
hospital at reconciliation. Thus, participant hospitals achieving this
level of quality for LEJR episodes under CJR will either have less
repayment responsibility (that is, the quality incentive payment will
offset a portion of their repayment responsibility) or receive a higher
payment (that is, the quality incentive payment would add to the
reconciliation payment) at reconciliation than they would have
otherwise based on a comparison of actual episode spending to the
target price that reflects a 3.0 percent discount. Therefore, these
hospitals will be eligible to receive a reconciliation payment if
actual episode spending is less than the target price and would also
receive a quality incentive payment.
Table 19--Performance Year 1: Relationship of Composite Quality Score to Reconciliation Payment Eligibility and the Effective Discount Percentage
Experienced at Reconciliation
--------------------------------------------------------------------------------------------------------------------------------------------------------
Effective discount
Eligible for Eligible for quality percentage for Effective discount
Composite quality score Quality category reconciliation incentive payment reconciliation percentage for repayment
payment payment (%) amount
--------------------------------------------------------------------------------------------------------------------------------------------------------
<4.0.............................. Below Acceptable..... No................... No.................. 3.0 Not applicable.
>=4.0 and <6.0.................... Acceptable........... Yes.................. No.................. 3.0 Not applicable.
>=6.0 and <=13.2.................. Good................. Yes.................. Yes................. 2.0 Not applicable.
>13.2............................. Excellent............ Yes.................. Yes................. 1.5 Not applicable.
--------------------------------------------------------------------------------------------------------------------------------------------------------
Table 20--Performance Years 2 and 3: Relationship of Composite Quality Score to Reconciliation Payment Eligibility and the Effective Discount Percentage
Experienced at Reconciliation
--------------------------------------------------------------------------------------------------------------------------------------------------------
Effective discount
Eligible for Eligible for quality percentage for Effective discount
Composite quality score Quality category reconciliation payment incentive payment reconciliation percentage for
payment (%) repayment amount
--------------------------------------------------------------------------------------------------------------------------------------------------------
<4.0................................. Below Acceptable....... No..................... No..................... 3.0 2.0
>=4.0 and <6.0....................... Acceptable............. Yes.................... No..................... 3.0 2.0
>=6.0 and <=13.2..................... Good................... Yes.................... Yes.................... 2.0 1.0
>13.2................................ Excellent.............. Yes.................... Yes.................... 1.5 0.5
--------------------------------------------------------------------------------------------------------------------------------------------------------
Table 21--Performance Years 4 and 5: Relationship of Composite Quality Score to Reconciliation Payment Eligibility and the Effective Discount Percentage
Experienced at Reconciliation
--------------------------------------------------------------------------------------------------------------------------------------------------------
Effective discount
Eligible for Eligible for quality percentage for Effective discount
Composite quality score Quality category reconciliation payment incentive payment reconciliation percentage for
payment (%) repayment amount
--------------------------------------------------------------------------------------------------------------------------------------------------------
<4.0................................. Below Acceptable....... No..................... No..................... 3.0 3.0
>=4.0 and <6.0....................... Acceptable............. Yes.................... No..................... 3.0 3.0
>=6.0 and <=13.2..................... Good................... Yes.................... Yes.................... 2.0 2.0
>13.2................................ Excellent.............. Yes.................... Yes.................... 1.5 1.5
--------------------------------------------------------------------------------------------------------------------------------------------------------
Under this methodology, the final stop-loss and stop-gain limits
discussed in section III.C.8. of the final rule will not change for
participant hospitals in different quality categories. Despite the
limited number of quality measures adopted for the CJR model at this
point in time compared to other programs, such as the Shared Savings
Program and HBVP Program that use more measures in a quality scoring
methodology, after considering the public comments we believe this
approach to quality incentive payments based on the composite quality
score will have the effect of increasing the alignment of the financial
and quality performance incentives under the CJR model to the potential
benefit of participant hospitals and their collaborators as well as
CMS, although it substantially increases the
[[Page 73379]]
complexity of the pay-for-performance methodology to link quality and
payment. The final methodology also provides a framework for
incorporating quality performance and quality improvement in the pay-
for-performance methodology of the CJR model as additional measures
become available for consideration for the CJR model. We refer readers
to section III.D.3. of this final rule for discussion of future
measures for the model.
Comment: Many commenters urged CMS to provide incentives for
hospitals to continuously improve the quality of care under the model.
The commenters asserted that scoring approaches incorporating
improvement have been successfully used in other CMS programs, such as
the Shared Savings Program and HVBP Program, as well as other
Innovation Center payment models. The commenters recommended that the
proposed thresholds for reconciliation payment eligibility were
inadequate as they would provide no incentive for further quality
improvement for the approximately 50 percent of participant hospitals
currently performing better than the proposed thresholds on all three
proposed quality measures. Some of these commenters favored the
composite quality score methodology and further recommended that in
addition to incorporating quality performance on the quality measures
in the CJR model payment methodology through the composite quality
score, CMS should reward year-over-year quality improvement, like the
Shared Savings Program.
A few commenters recommended that CMS reward quality improvement
under the CJR model as long as there is no increase in episode
spending, observing that under the statutory authority for the CJR
model, one of the three expectations for a model is that it would
increase the quality of care without increasing spending. The
commenters claimed that setting a target price that always includes a
discount over expected episode spending should not be necessary for
participant hospitals that demonstrate improvements in quality
performance.
Response: We appreciate the perspectives of the commenters who
recommended that we directly reward hospitals for quality improvement,
consistent with pay-for-performance policies under other CMS programs
such as the HVBP Program and the Shared Savings Program. We note that
the proposed pay-for-performance quality threshold methodology would
have provided no additional potential for financial reward for quality
improvement once participant hospitals met the 30th performance
percentile threshold for reconciliation payment eligibility in the
first three performance years and the 40th performance percentile
threshold in the fourth and fifth performance years on the three
proposed quality measures. As some commenters pointed out, the proposal
was unlikely to advance a major goal of the CJR model to continue to
improve the quality or maintain current high quality of care for
beneficiaries in LEJR episodes at all participant hospitals. In
contrast, the composite quality score methodology that incorporates
quality measure performance and that we finalized in the preceding
response to public comments may indirectly reward quality improvement.
Quality measure performance for a performance year within a higher
performance decile than the prior performance year may result in a
higher number of quality performance points for that measure and,
ultimately, a higher composite quality score that may result in
participant hospital assignment to a quality category that provides
quality incentive payments or a higher amount of quality incentive
payments than the prior performance year's lower composite quality
score. However, without further refinement of the composite quality
score methodology finalized previously, unlike the pay-for-performance
methodology in other CMS programs such as the Shared Savings Program,
the CJR model would not directly reward quality improvement in the
scoring methodology, thereby providing a lesser incentive for quality
improvement than directly including points for improvement in the
composite quality score as recommended by some commenters.
As we stated earlier in this section, we are not yet certain in
this model test what performance outcomes can be achieved under best
practices. Therefore, we believe a refinement to the composite score
methodology in order to drive quality improvement for participant
hospitals that have historically lagged in quality performance on the
CJR model quality measures is appropriate, to supplement the composite
score's valuing of quality performance in the pay-for-performance
methodology of the model. We agree with the commenters that we should
directly reward quality improvement under the CJR model pay-for-
performance methodology to encourage participant hospitals currently at
all levels of quality performance to improve their performance as they
strive to achieve high quality performance outcomes under best
practices. Like the commenters, we recognize that the heightened focus
on episode cost and quality performance by participant hospitals may
lead to substantial year-over-year quality measure improvement over the
model performance years, and we agree that improvement should be valued
in the pay-for-performance methodology, in addition to the quality
measure performance percentile actually achieved by the hospital.
However, we disagree with the commenters who suggested that participant
hospitals demonstrating quality improvement should not be expected to
demonstrate episode cost efficiency in order for quality improvement to
be rewarded. Improved quality performance and cost savings are closely
linked in the CJR pay-for-performance methodology, as both are major
goals of the CJR model.
Therefore, we will refine the composite score methodology discussed
in the proposed rule that assigns quality performance points based on
performance percentiles for each measure to add the potential for
incremental quality improvement points to be awarded for substantial
improvement in performance on a required quality measure. We believe
that the actual level of quality performance achieved should be most
highly valued in the composite quality score to reward those hospitals
furnishing high-quality care to CJR model beneficiaries, with a smaller
contribution to the composite quality score made by improvement points
if measure result improvement is achieved. We acknowledge that just
because a hospital shows substantial improvement on a measure result,
this does not necessarily mean the episode care is high-quality, yet
the improvement spurred by the hospital's participation in the CJR
model deserves to be valued as the hospital's performance is moving in
a direction that is good for the health of beneficiaries. Valuing
improvement is especially important because the CJR model involves such
a wide range of hospitals that must participate if they are located in
the selected MSAs, and the hospitals will be starting from many
different current levels of quality performance. This refinement to the
composite quality score methodology will help to provide all
participant hospitals with a strong incentive to improve LEJR episode
outcomes, including those hospitals with historically lagging quality
performance.
Specifically, we will add into the composite quality score 10
percent of the maximum value for one or both of
[[Page 73380]]
the required measures, as applicable, which would equal 1 point for the
THA/TKA Complications measure (NQF #1550) or 0.8 point for the HCAHPS
Survey measure (NQF #0166), for those participant hospitals that
demonstrate substantial improvement from the prior year's measure
performance percentile on that measure. This modest increment of 10
percent will allow us to continue to value most significantly quality
performance in the composite quality score, while incorporating a
significant but lesser value on quality improvement. We believe that
rewarding improvement by allocating 10 percent of the maximum quality
performance points to improvement on a measure provides a significant
incentive for participant hospitals to achieve national high
performance benchmarks on the quality measures, as well as provides an
incentive for historically lagging hospitals to make significant
quality improvements.
Because of the uncertainty of statistical measures, as discussed
previously in this section, and our annual comparison of a participant
hospital's measure result to the national distribution to determine the
hospital's performance percentile, we will only award measure quality
improvement points where improvement is substantial and reflective of
true improvement in quality performance on the individual measure.
Thus, in order to be considered for improvement points on one of the
measures, a participant hospital must have had a reportable measure
performance result for that measure in the prior year. We note that in
considering quality improvement points for award in the first model
performance year, we will use measure results from the prior year
quality measure performance period in determining each participant
hospital's measure performance percentile against which we will compare
its measure performance percentile for CJR model performance year 1 to
determine if quality improvement points should be awarded. For the
HCAHPS Survey measure (NQF #0166), the prior year quality measure
performance period used will be July 1, 2014 through June 30, 2015. For
the THA/TKA Complications measure (NQF #1550), the prior year quality
measure performance period used will be April 1, 2012 through March 31,
2015. The measure performance percentiles for performance year 1 will
be determined from measure results from the performance year 1 quality
measure performance periods as displayed in Table C5 of this final
rule.
We are defining substantial as improving 3 deciles or more in
comparison to the national distribution of measure results. Improvement
of three deciles represents a quality measure result change of over
one-third of the range between the 10th percentile and the 90th
percentile measure results. The 3 decile threshold to define
substantial improvement is based on historical Hospital Compare
information demonstrating that improving three deciles in measure
performance on an annual basis is a challenging but attainable
threshold for hospitals and reflects true improvement in quality
performance on the individual measure. We estimate based on current
quality measure performance over the most recent two years of available
quality measure result data that 30 and 55 participant hospitals would
qualify for improvement points on the HCAHPS Survey measure (NQF #0166)
and the THA/TKA Complications measure (NQF #1550), respectively.
We note that when a participant hospital is awarded improvement
points in addition to performance points on a specific required
measure, the sum of these points for the measure will be slightly
greater than the measure performance points that would be awarded to a
hospital in the performance decile that is one level higher than the
participant hospital's actual performance decile. By recognizing
quality performance in the CJR model pay-for-performance methodology,
supplemented by valuing quality improvement, we believe participant
hospitals at all current levels of quality performance, including those
historically lagging, will have the greatest incentives to achieve high
and/or improved quality of care under the CJR model through strong
financial incentives that are linked to quality.
Comment: A number of commenters urged CMS to further reduce the CJR
model discount percentage in the target price for those participant
hospitals who successfully reported THA/TKA voluntary PRO and limited
risk variable data. They recommended that CMS apply a discount of 1.5
percent, rather than the proposed 1.7 percent, to the target price in
order to support a participant hospital's development of an effective
and efficient process for reporting. A commenter requested that CMS
provide a stronger financial incentive for THA/TKA PRO voluntary and
limited risk variable data submission as well as compensation for the
additional hospital costs of data collection, reasoning that because
the proposal for the reduced discount percentage only covers the
expected additional costs of data collection, no financial incentive is
present for hospitals to report these data. Several commenters stated
that CMS should go further and require the submission of THA/TKA
voluntary PRO and limited risk variable data by participant hospitals
in order for reconciliation payments to be paid because, while limiting
structure and process measures to value more highly outcome measures is
laudable, the most important consideration in quality outcomes for CJR
model beneficiaries should be beneficiary functional status. The
commenters expressed disappointment in CMS' proposal that reporting
would be voluntary and urged CMS to institute pay-for-reporting for
these data are a requirement for hospitals to be paid any savings
achieved for their episodes beyond the target price. Many commenters
encouraged CMS to incorporate patient-reported outcomes measure
performance in the CJR model as soon as possible, and some commenters
further recommended that CMS delay implementation of the model until
the PRO measure is available for use.
Response: We appreciate the emphasis the commenters placed upon
measure development and implementation to capture the functional status
of beneficiaries following LEJR procedures. Patient-reported outcomes
following elective THA and TKA, which are the focus of the measure
under development, are critically important for these costly procedures
that beneficiaries choose to improve their quality of life, despite the
lengthy recovery period involved. Pay-for-performance in the CJR model,
an episode payment model that is designed to incentivize efficient,
high-quality episode care, will benefit greatly from the incorporation
of participant hospital performance on a measure of functional status
when it is fully developed. We refer readers to section III.D.3.a.(9)
of this final rule for further discussion of our plans and timeline to
incorporate the THA/TKA Patient-Reported Outcome Performance Measure
(PRO-PM) result in the CJR model when its development is complete after
the period of THA/TKA voluntary PRO and limited risk variable data
submission under the CJR model. We do not believe it would be
appropriate to delay implementation of the CJR model until the measure
has completed development, because the other final measures adopted for
the model, as described in section III.D.2.a. through c. of this final
rule, are meaningful measures of LEJR episode quality and
[[Page 73381]]
the CJR model provides an unprecedented opportunity to complete
development of the THA/TKA PRO-PM because of the broad scope of the
model test.
Because the measure is currently under development, we believe our
final model payment policies and future plans for use of the measure
result in the CJR model provide sufficient incentive and increased
financial opportunity to encourage robust reporting by participant
hospitals of THA/TKA voluntary PRO and limited risk variable data. For
the reasons discussed earlier in this section, we are not finalizing
our proposed pay-for-performance threshold methodology to determine a
participant hospital's reconciliation payment eligibility if episode
savings are achieved beyond the target price. Therefore, we are not
finalizing our proposal to reduce the discount percentage to 1.7
percent from 2.0 percent for successful submission of THA/TKA voluntary
PRO and limited risk variable data. Instead, under our final policy we
are incorporating the successful criterion for submission of THA/TKA
voluntary PRO and limited risk variable data into our composite quality
score methodology for the CJR model, awarding points to participant
hospitals who successfully submit these data that will be added into
the calculation of the hospital's composite quality score, consistent
with our discussion of the alternative approach to linking quality and
payment in the proposed rule as described in detail earlier in this
section. We refer readers to section III.D.3.a.(9) of this final rule
for our final definition of successful reporting of THA/TKA voluntary
PRO and limited risk variable data for each performance year of the CJR
model. Furthermore, as the PRO-PM remains under development, we will
not require the reporting of THA/TKA voluntary PRO and limited risk
variable data for reconciliation payment eligibility. However, the
successful reporting of the voluntary data may increase a participant
hospital's financial opportunity under the model, which may be greater
than the hospital's increased administrative cost to report the data.
While the final policy to incorporate successful reporting of THA/TKA
voluntary PRO and limited risk variable data into the composite quality
score methodology is not directly keyed to addressing the hospital
resources required for reporting as would have been true for the
voluntary reporting payment adjustment that we proposed, we note that
voluntary reporting can only help a hospital qualify for quality
incentive payments and unsuccessful reporting will not hurt a
participant hospital's eligibility for reconciliation payments.
Summary of Final Decisions: After consideration of the public
comments we received, we are finalizing our proposal discussed in
section III.C.5.b.(5)(b) of this final rule to assign participant
hospital required outcome measure point estimates to performance
percentiles based on the national distribution. We summarize the public
comments we received on the proposed criteria for successfully
reporting the voluntary THA/TKA data, as discussed in section
III.C.5.b.(5)(b) of this final rule, and provide our responses in
section III.D.3.a. of this final rule. However, we are not finalizing
our proposal discussed in section III.C.5.b.(5)(c)(iii) of this final
rule of a pay-for-performance methodology that identifies specific
performance thresholds for the required quality measures that must be
met for reconciliation payment eligibility. We are also not finalizing
our proposal discussed in section III.C.5.b.(2) of this final rule to
reduce the discount factor included in the target price for successful
submission of THA/TKA voluntary PRO and limited risk variable data.
Instead, based on our review of the public comments, we are finalizing
the use of a composite quality score, as discussed in section
III.C.5.b.(5)(c)(ii) of this final rule, that is based on quality
performance and improvement on the THA/TKA Complications measure (NQF
#1550) and the HCAHPS Survey measure (NQF #0116), as well as submission
of THA/TKA voluntary PRO and limited risk variable data, and places
participant hospitals in one of four quality categories for each
performance year, ``Below Acceptable,'' ``Acceptable,'' ``Good,'' and
``Excellent.'' The final payment policies for the quality categories
for the CJR model performance years are discussed earlier in this
section and displayed in Tables 19, 20, and 21. We summarize the public
comments we received on the proposed applicable time period, as
discussed in section III.C.5.b.(4) of this final rule, and provide our
responses in section III.D.3.d. of this final rule. We also summarize
the public comments we received on the reporting time period for the
THA/TKA patient reported outcome and limited risk variable data
discussed in section III.C.5.b.(4) of this final rule and provide our
responses in section III.D.3.a.(8) of this final rule.
We have added new definitions to Sec. 510.2, specifically:
``Composite quality score'' means a score computed for each participant
hospital to summarize the hospital's level of quality performance and
improvement on specified quality measures, as described in Sec.
510.315; ``Quality performance points'' are points that CMS adds to a
participant hospital's composite quality score for a measure based on
the performance percentile scale and for successful data submission of
patient reported outcomes; and ``Quality improvement points'' are
points that CMS adds to a participant hospital's composite quality
score for a measure if the hospital's performance percentile on an
individual quality measure increases from the previous performance year
by at least three deciles on the performance percentile scale. We have
revised Sec. 510.305(f)(2) and (g)(2) and (3) to reflect the role of
the composite quality score in determining reconciliation payment
eligibility. The final pay-for-performance methodology is set forth in
Sec. 510.315, which has been retitled, ``Composite quality scores for
determining reconciliation payment eligibility and quality incentive
payments,'' and revised to set forth the final pay-for-performance
methodology of the CJR model as described in this final rule.
6. Process for Reconciliation
We outlined in the proposed rule our proposals for how we intend to
reconcile aggregate related Medicare payments for a hospital's
beneficiaries in CJR episodes during a performance year against the
applicable target price in order to determine if reconciliation payment
(or repayment, beginning in performance year 2) is applicable under
this model. We refer readers to section III.B. of this final rule for
our definition of related services for LEJR episodes under CJR, to
section III.C.2.a. of this final rule for our definition of performance
years, and to section III.C.4. of this final rule for discussion of our
approach to establish target prices.
a. Net Payment Reconciliation Amount (NPRA)
The proposed rule detailed our proposal to conduct reconciliation
by calculating a NPRA for each hospital participant in the model. After
the completion of a performance year, we proposed to retrospectively
calculate a participant hospital's actual episode performance based on
the episode definition. We noted that episode payments for purposes of
the CJR model would exclude the effects of special payment provisions
under existing Medicare payment systems (section III.C.3.a. of this
final rule), be subject to
[[Page 73382]]
proration for services that extend beyond the episode (section
III.C.3.b. of this final rule), and exclude certain PBPM payments for
programs and models specified in section III.C.7.d. of this final rule.
We proposed that some episodes may be excluded entirely from the CJR
model due to overlap with BPCI episodes, as discussed in section
III.C.7.b. of this final rule. Finally, we proposed that actual episode
payments calculated for purposes of CJR would be capped at anchor MS-
DRG and region-specific high episode payment ceilings (section
III.C.3.c. of this final rule). We proposed to apply the high episode
payment ceiling policy to episodes in the performance year similarly to
how we apply it to historical episodes (section III.C.4.c. of this
final rule). Episode payments for episodes attributed to CJR eligible
hospitals would be determined and the high episode payment ceiling
would be calculated as two standard deviations above the mean. Any
actual episode payment amount above the high payment ceiling would be
capped at the applicable ceiling.
We proposed to compare each participant hospital's actual episode
payment performance to its target prices. We proposed that, as
discussed in section III.C.4. of this final rule, a participant
hospital would have multiple target prices for episodes ending in a
given performance year, based on the MS-DRG anchor (MS-DRG 469 versus
MS-DRG 470), the performance year when the episode was initiated, when
the episode was initiated within a given performance year (January 1
through September 30 of the performance year, October 1 through
December 31 of the performance year, October 1 through December 31 of
the prior performance year), and whether the participant hospital
successfully submitted THA/TKA voluntary PRO and limited risk variable
data. The applicable target price for each episode would be determined
using the previously stated criteria, and the difference between each
CJR episode's actual payment and the relevant target price (calculated
as target price subtracted by CJR actual episode payment) would be
aggregated for all episodes for a participant hospital within the
performance year, representing the raw NPRA. This amount would be
adjusted per the steps discussed later in this section, creating the
NPRA.
We proposed to adjust the raw NPRA to account for post-episode
payment increases (section III.C.8.e. of this final rule) and stop-loss
and stop-gain limits (section III.C.8.b. of this final rule). Any NPRA
amount greater than the proposed stop-gain limit would be capped at the
stop-gain limit, and any NPRA amount less than the proposed stop-loss
limit would be capped at the stop-loss limit.
We did not propose to include any CJR reconciliation payments or
repayments to Medicare under this model for a given performance year in
the NPRA for a subsequent performance year. We want to incentivize
providers to provide high quality and efficient care in all years of
the model. If reconciliation payments for a performance year are
counted as Medicare expenditures in a subsequent performance year, a
hospital would experience higher Medicare expenditures in the
subsequent performance year as a consequence of providing high quality
and efficient care in the prior performance year, negating some of the
incentive to perform well in the prior year. Therefore, we proposed to
not have the NPRA for a given performance year be impacted by CJR
repayments or reconciliation payments made in a prior performance year.
For example, if a CJR hospital receives a $10,000 reconciliation
payment in the second quarter of 2017 for achieving episode spending
below the target price for performance year 1, that $10,000
reconciliation payment amount would not be included in the performance
year 2 calculations of actual episode spending. However, as discussed
in section III.C.6.b. of this final rule, during the following
performance year's reconciliation process, we proposed to account for
additional claims run-out and overlap from the prior performance year,
and net that amount with the subsequent performance year's NPRA to
determine the reconciliation or repayment amount for the current
reconciliation. The following is a summary of comments received and our
response.
Comment: Commenters emphasized the need to accurately account for
wage index differences when calculating target prices and conducting
reconciliation activities.
Response: We refer readers to comments and responses to comments in
section III.C.4.b.(7) of this final rule for further discussion on the
finalized target price calculation policy to normalize for wage index
differences at the claim level and to reintroduce wage index
differences based on the participant hospital's wage index and labor
cost share. In order to maintain consistency with the target price
calculations, and to more accurately normalize for the effects of wage
index differences, we will apply the same claim-level wage index
normalization to claim payments included in actual episode expenditures
for each performance year when calculating a hospital's NPRA.
We also refer readers to response to comments in section
III.C.4.b.(7) of this final rule on the importance of reintroducing
wage index differences when calculating target prices and
reconciliation and repayment amounts. In order to maintain consistency
with the target price calculations, we will reintroduce wage index
differences when calculating NPRA by applying the participant
hospital's wage index and 0.7 as the labor cost share. By mirroring the
target price calculation approach for accounting for wage index
differences, we can better ensure that any reconciliation amounts or
repayments to Medicare are due to differences in practice patterns, not
Medicare FFS wage index policy variations.
Comment: A commenter suggested that CMS perform reconciliation
calculations differently when a beneficiary in a CJR episode receives
PAC from a SNF or HHA not recommended by the CJR hospital discharge
planners. Another commenter noted that the reconciliation calculation
CMS proposed needed refinement as it pertains to the proposed
methodology for setting episode prices and paying model participants;
the commenter's suggestions pertaining to the payment methodology are
addressed in section III.C.4. of this final rule.
Response: We thank commenters for their suggestions. However, we do
not believe it is appropriate to make adjustments to a given hospital's
NPRA based on the choice of PAC facility for beneficiaries discharged
from that facility. Such a change would be inconsistent with our goal
of maintaining beneficiary choice and access to care, discussed in
section III.F. of this final rule. We also note that the process for
calculating the NPRA is consistent with our methodology for calculating
target prices and actual episode spending during the performance period
(section III.C.4.b. of this final rule), along with the adjustments to
NPRA that would account for post-episode spending (III.C.8.d. of this
final rule) and the stop-loss and stop-gain limits discussed in section
III.C.8.b. of this final rule.
Final Decision: We refer readers to section III.C.4. of this final
rule for discussion of modifications to how the target prices and
performance period episode spending are calculated, including risk
stratification for fracture patients. In addition, section III.C.5. of
this final rule addresses our final policy on how quality performance
will be
[[Page 73383]]
used to determine a CJR hospital's effective discount percentage.
However, after consideration of the public comments we received, we are
modifying our proposal to calculate the NPRA utilizing the methodology
described in this subsection to account for wage index normalization
and reintroduction when calculating actual episode expenditures in a
performance year and including the modifications to calculation of
target prices and actual episode spending as described elsewhere in
this section. After the completion of a performance year, we will
retrospectively calculate a participant hospital's actual episode
spending based on the episode definition. Each participant hospital's
actual episode payment performance will be compared to its target
prices, creating the raw NPRA, and then adjusted for the stop-loss and
stop-gain limits, as well as post-episode spending, creating the NPRA.
b. Payment Reconciliation
We proposed to reconcile payments retrospectively through the
following reconciliation process. We proposed to reconcile a
participant hospital's CJR actual episode payments against the target
price 2 months after the end of the performance year. More
specifically, we would capture claims submitted by March 1st following
the end of the performance year and carry out the NPRA calculation as
described previously to make a reconciliation payment or hold hospitals
responsible for repayment, as applicable, in quarter 2 of that calendar
year.
Comment: Some commenters explicitly supported CMS's proposal to
implement a retrospective reconciliation process. However, a few
commenters suggested CMS implement a prospective reconciliation process
(see section III.C.2.b. of this final rule for discussion of comments
on the retrospective payment methodology). Commenters suggested CMS
make a prospective bundled payment to hospitals for all services
provided during a CJR episode; hospitals would then distribute payments
to other providers and suppliers. A commenter suggested that CMS hold a
specified percentage of total episode payments for downstream (non-
hospital) providers and suppliers furnishing services during CJR
episodes and hospitals would later distribute the amount of the
withheld payment to providers and suppliers based on quality and
efficiency.
Response: We refer readers to section III.C.4.b. of this final rule
for discussion of comments received on our proposed methodology to
establish target prices and retrospectively calculate performance
period episode spending.
We considered the suggestion to implement a blended reconciliation
approach by withholding a specified percentage of FFS payments and
later distributing the remainder of payments to hospitals for
disbursement to downstream providers and suppliers. We believe that the
operational challenges associated with such an approach would introduce
significant administrative burden for hospitals. We also note that, as
discussed in section III.C.10. of this final rule, we are finalizing
policies that will allow participant hospitals to engage in financial
arrangements and relationships with downstream providers and suppliers.
We believe these relationships will allow participant hospitals the
opportunity to share financial risk with downstream providers and
suppliers and engage such entities in efforts to improve quality and
efficiency throughout the episode.
Final Decision: After consideration of the public comments we
received, we are finalizing our proposal, without modification, to
conduct a retrospective reconciliation process for the CJR model.
To address issues of overlap with other CMS programs and models
that are discussed in section III.C.7. of the proposed rule, we also
proposed that during the following performance year's reconciliation
process, we would calculate the prior performance year's episode
spending a second time to account for final claims run-out, as well as
overlap with other models as discussed in section III.C.7. of this
final rule. This would occur approximately 14 months after the end of
the prior performance year. As discussed later in this section, the
amount from this calculation, if different from zero, would be applied
to the NPRA for the subsequent performance year in order to determine
the amount of the payment Medicare would make to the hospital or the
hospital's repayment amount. We note that the subsequent reconciliation
calculation would be applied to the previous calculation of NPRA for a
performance year to ensure the stop loss and stop gain limits discussed
in section III.C.8. of this final rule are not exceeded for a given
performance year.
For the performance year 1 reconciliation process, we would
calculate a participant's, as previously described, and if positive,
the hospital would receive the amount as a reconciliation payment from
Medicare. If negative, the hospital would not be responsible for
repayment to Medicare, consistent with our proposal to phase in
financial responsibility beginning in performance year 2. Starting with
the CJR reconciliation process for performance year 2, in order to
determine the reconciliation or repayment amount, the amount from the
subsequent reconciliation calculation would be applied to the NPRA. We
proposed that if the amount is positive, and if the hospital meets the
minimum quality score required to be eligible for reconciliation,
(discussed further in section III.C.5. of this final rule), the
hospital would receive the amount as a reconciliation payment from
Medicare. If the amount is negative, Medicare would hold the
participant hospital responsible for repaying the absolute value of the
repayment amount following the rules and processes for all other
Medicare debts. Note that given our proposal to not hold participant
hospitals financially responsible for repayment for the first
performance year, during the reconciliation process for performance
year 2 only, the subsequent calculation amount (for performance year 1)
would be compared against the performance year 1 NPRA to ensure that
the sum of the NPRA calculated for performance year 1 and the
subsequent reconciliation calculation for year 1 is not less than zero.
For performance years 2 through 5, though, we proposed that Medicare
would hold the participant hospital responsible for repaying the
absolute value of the repayment amount following the rules and
processes for all other Medicare debts. The following table illustrates
a simplified example of how the subsequent reconciliation calculation
may affect the following year's reconciliation payment. The second
column represents the raw NPRA calculated for Performance Year 1,
meaning that Hospital A's aggregated episode spending was $50,000 below
the target price multiplied by the number of episodes. The third column
represents the subsequent reconciliation calculation, indicating that
when calculating episode spending during Performance Year 1 a second
time, we determined that Hospital A's aggregated episode spending was
$40,000 below the target price multiplied by the number of episodes,
due to claims runout, accounting for model overlap, or other reasons.
The fourth column represents the difference between the subsequent
reconciliation calculation and the raw NPRA calculated for Performance
Year 1. This difference is then combined with the amount in the fifth
column to create the reconciliation
[[Page 73384]]
payment amount for PY2, which is reflected in the sixth column.
Table 22--Sample Reconciliation Results
--------------------------------------------------------------------------------------------------------------------------------------------------------
Difference
Performance Year between PY1 Reconciliation
Performance Year 1 subsequent subsequent Performance Year payment made to
1 (2016) raw NPRA reconciliation reconciliation 2 (2017) raw NPRA hospital in
calculation calculation and quarter 2 2018
raw NPRA
--------------------------------------------------------------------------------------------------------------------------------------------------------
Hospital A............................................... $50,000 $40,000 ($10,000) $25,000 $15,000
--------------------------------------------------------------------------------------------------------------------------------------------------------
This reconciliation process would account for overlaps between the
CJR model and other CMS models and programs as discussed in section
III.C.7. of this final rule, and would also involve updating
performance year episode claims data. We also note that in cases where
a hospital has appealed its quality performance results on the
complications and HCAHPS quality measures through the IQR program
appeal process, discussed in section III.D. of this final rule, and
where such appeal results would result in a different effective
discount percentage or quality incentive payment under the CJR model,
the subsequent reconciliation calculation will account for these
updates as well.
For example, for performance year 1 for the CJR model in 2016, we
would capture claims submitted by March 1st, 2017, and reconcile
payments for participant hospitals approximately 6 months after the end
of the performance year in quarter 2 of calendar year 2017. We would
carry out the subsequent calculation in the following year in quarter 2
of calendar 2018, simultaneously with the reconciliation process for
the second performance year, 2017. Table 23 provides the reconciliation
timeframes for the model. Lastly, we proposed that the reconciliation
payments to or repayments from the participant hospital would be made
by the MAC that makes payment to the hospital under the IPPS. This
approach is consistent with BPCI Model 2 operations.
We proposed this approach in order to balance our goals of
providing reconciliation payments in a reasonable timeframe, while
being able to account for overlap and all Medicare claims attributable
to episodes. We stated that pulling claims 2 months after the end of
the performance year would provide sufficient claims run-out to conduct
the reconciliation in a timely manner, given that our performance year
includes episodes ending, not beginning, by December 31st. We note that
in accordance with the regulations at Sec. 424.44 and the Medicare
Claims Processing Manual (Pub. L. 100-04), Chapter 1, Section 70,
Medicare claims can be submitted no later than 1 calendar year from the
date of service. We recognized that by pulling claims 2 months after
the end of the performance year to conduct reconciliation, we would not
have complete claims run-out. However, we believed that the 2 months of
claims run-out would be an accurate reflection of episode spending and
consistent with the claims run-out timeframes used for reconciliation
in other payment models, such as BPCI Models 2 and 3. The alternative
would be to wait to reconcile until we have full claims run out 12
months after the end of the performance year, but we were concerned
that this approach would significantly delay earned reconciliation
payments under this model. Because we proposed to conduct a second
calculation to account for overlap with other CMS models and programs,
we proposed to incorporate updated claims data with 14 months run out
at that time. However, we did not expect that the updated data should
substantially, in and of itself, affect the reconciliation results
assuming hospitals and other providers and suppliers furnishing
services to Medicare beneficiaries in CJR episodes follow usual
patterns of claims submission and do not alter their billing practices
due to this model.
Table 23--Proposed Timeframe for Reconciliation in CJR
----------------------------------------------------------------------------------------------------------------
Second Second
Model Reconciliation Reconciliation calculation to calculation
Model performance performance claims submitted payment or address overlaps adjustment to
year period by repayment and claims reconciliation
run[dash]out amount
----------------------------------------------------------------------------------------------------------------
Year 1 *.............. Episodes ending March 1, 2017... Q2 2017......... March 1, 2018... Q2 2018.
April 30, 2016
to December 31,
2016.
Year 2................ Episodes ending March 1, 2018... Q2 2018......... March 1, 2019... Q2 2019.
January 1, 2017
through
December 31,
2017.
Year 3................ Episodes ending March 1, 2019... Q2 2019......... March 2, 2020... Q2 2020.
January 1, 2018
through
December 31,
2018.
Year 4................ Episodes ending March 2, 2020... Q2 2020......... March 1, 2021... Q2 2021.
January 1, 2019
through
December 31,
2019.
Year 5................ Episodes ending March 1, 2021... Q2 2021......... March 1, 2022... Q2 2022.
January 1, 2020
through
December 31,
2020.
----------------------------------------------------------------------------------------------------------------
* Note that the reconciliation for Year 1 would not include repayment responsibility from CJR hospitals.
[[Page 73385]]
Comment: Several commenters supported the proposed reconciliation
process. However, many commenters requested that CMS conduct
reconciliation activities on a quarterly or semi-annual, instead of
annual, basis. Some commenters suggested that CMS offer participant
hospitals the option of electing annual or a more frequent
reconciliation timeline. Commenters stated numerous reasons for their
request, including: Providing revenue and cash flow to hospitals
throughout the year to aid in care coordination and redesign efforts;
giving hospitals interim data on financial performance; the time lag
between the end of a performance year and the subsequent reconciliation
calculation; utilizing data for improving care processes; giving
hospitals the opportunity to gainshare with other providers and
suppliers with greater frequency; and consistency with the frequency of
reconciliation in the BPCI initiative, among other reasons. Some
commenters supported the proposal to make reconciliation payments or
require repayment on an annual basis, but requested that CMS also
conduct interim quarterly reconciliation projections to provide
hospitals with information on financial performance throughout the
performance year. Several commenters claimed that the proposed
reconciliation process would result in reduced revenue for hospitals
throughout the performance period. However, a commenter stated that
receiving annual reconciliation results in the second quarter of the
calendar year following the completion of a performance year would
provide hospitals with timely feedback and opportunity to adjust
strategies in subsequent years to improve or maintain financial
performance. Another commenter noted that annual reconciliation at the
end of each performance year would give participants an early
indication of progress under the model.
Response: We appreciate the perspectives of the commenters on our
proposal. In response to commenters' concerns that an annual
reconciliation process would result in reduced revenue for hospitals,
we are clarifying that model participants, and all providers and
suppliers, would continue to bill and be paid through normal Medicare
FFS processes throughout the model for Part A and Part B services
furnished to beneficiaries during a CJR episode, with a retrospective
reconciliation process after the conclusion of a performance year. We
disagree that an annual reconciliation process would result in reduced
revenue for hospitals. In addition, we note that beginning in the
second quarter of 2017 when the first reconciliation is performed, CJR
hospitals will be able to utilize any reconciliation payments they earn
to invest in care redesign and coordination efforts on an ongoing
basis. We emphasize that the delay of financial repayment
responsibility until performance year 2 means no hospital will be
required to make a repayment to Medicare until the second quarter of
2018 for actual episode spending exceeding the target price. In
addition, the delay of the model start date until April 1, 2016 and
truncated first performance year will reduce the amount of time between
beginning participation in the CJR model and the first reconciliation.
We appreciate commenters' concerns and request for more frequent
feedback on performance throughout the performance period. However, we
continue to believe that an annual reconciliation process is most
appropriate for the following reasons. As previously stated in this
section, providers and suppliers have a calendar year to submit FFS
claims for payment. Implementing a quarterly reconciliation process, as
we do for the BPCI models, would mean that many claims may be
incomplete at the time of the reconciliation. The BPCI reconciliation
process incorporates 3 subsequent reconciliation calculations, and BPCI
participants have experienced significant fluctuation in financial
results between the initial reconciliation and the subsequent
calculations. We believe our proposed annual reconciliation approach
will lead to more stable financial results for providers. We also note
based on our experience with the BPCI models that a quarterly
reconciliation process results in model participants' near constant
engagement in the reconciliation and appeals processes. This can
potentially take time away from efforts focused on care redesign and
coordination with providers and suppliers engaged in furnishing care
for beneficiaries under the model. In addition, given our plan to
assess hospital performance on quality measures (discussed in section
III.C.5. of this final rule), we note that annual reconciliation
processes will be necessary in order to calculate an accurate composite
quality score for hospital participants, since quality measures are
calculated on an annual basis. We also proposed to perform annual
reconciliation for consistency with other models and programs such as
the Shared Savings Program. As discussed in section III.C.7.e.of this
final rule, we will allow for beneficiaries to be assigned to an ACO
and have a concurrent CJR episode. We will perform our reconciliation
calculations and then make the reconciliation and repayment amounts
available to other models and programs in order to account for
overlapping beneficiaries. We have aligned our annual reconciliation
timeline with the ACO models and program in order to make this
information available before the ACO models and program begin their
annual financial reconciliation calculations; such a timeline is
necessary to be able to account for program and model overlap.
We understand commenters' assertions that annual reconciliation
does not allow for frequent feedback on financial performance under the
model. We would like to reiterate that we will be providing both line-
level and summary claims data to model participants on a quarterly
basis, as discussed in section III.E. of this final rule. Such data are
intended to provide hospitals with information about their care
patterns and to identify opportunities for care redesign and savings.
This data will also provide ongoing feedback to hospitals about their
performance under the model, by including both raw claims as well as
summary data with information about their episode spending and care
patterns. Moreover, unlike in BPCI Models 2 and 3, we will be providing
model participants with performance year target prices on a prospective
basis, as discussed in section III.C.4 of this final rule. Prospective
target pricing will provide hospitals with increased certainty about
financial targets under the model. Finally, we also considered
commenters' requests to conduct interim financial reconciliation
calculations on a quarterly basis and provide the results of such
calculations to hospitals. Because of the potential for volatility
between the interim results and the final reconciliation results, and
our concern that such results would not provide additional meaningful
information to hospitals not present in the claims data and prospective
target prices, we are not pursuing an interim reconciliation process at
this time. However, we will continue to consider commenters'
suggestions and will consider the feasibility of providing interim
results in the future if we believe it could aid hospitals in
succeeding under this model and would provide additional information
not already present in the previously stated claims data and target
prices.
[[Page 73386]]
Final Decision: After consideration of the public comments we
received, we are finalizing our proposal, without modification, to
conduct financial reconciliation on an annual basis. We will engage
with CJR hospitals throughout the model to ensure the prospective
target prices and quarterly data provided to hospitals provide
sufficient ongoing feedback and data to hospitals between
reconciliations. As previously noted, we will continue to consider
commenters' suggestions and consider the feasibility of further interim
financial results in the future if warranted.
Comment: Several commenters expressed concerns about post-payment
denials and Recovery Audit Contractor (RAC) or MAC reviews that may
occur after the CJR model reconciliation processes are complete. A
commenter asserted that providers could be doubly penalized for such
claims if review and denial occurs after the subsequent reconciliation
calculation, in particular if a claim is denied for more than 100
percent of the payment amount. The commenter noted further concern due
to the aggregated reconciliation calculation; that is if a given claim
is later denied for an amount greater than 100 percent of the payment
amount, the denied amount could affect more than just the claim in
question. The commenter urged CMS to exempt all claims attributed to
the CJR model from post-payment review and denial.
Another commenter requested that CMS further outline the
reconciliation and repayment processes, including how reconciliation
would be conducted for Periodic Interim Payment (PIP) hospitals.
Finally, a commenter requested a more flexible repayment process for
hospitals meeting certain eligibility criteria, but did not suggest
specific criteria.
Response: We appreciate the commenters' views. We believe the
proposed process to perform a reconciliation calculation 2 months after
the conclusion of a performance year, with a subsequent reconciliation
calculation 12 months later, will allow sufficient time for routine
monitoring, review, and adjustment. We acknowledge that audits and
reviews may occur after our reconciliation processes are complete,
agreeing that post-payment reviews may occur up to 3 years after the
submission of a claim, or longer in some instances. However, we believe
that concluding reconciliation processes 14 months after the completion
of a performance year provides a reasonable timeframe for claims run-
out and subsequent actions on a claim and is consistent with other
payment reconciliation processes, such as the reconciliation of
hospital cost reports, which can have impacts that are mostly but not
entirely reconciled across multiple payment systems. With respect to
commenters' specific suggestions, we note that prohibiting review of
all claims submitted for a beneficiary during a CJR episode would not
be consistent with our stated goals of the model to monitor for quality
and appropriateness of care. While we appreciate the concern that the
price setting methodology under this model already provides a limit on
spending during the episode, we point out that provider payments are
not absolutely capped and hospitals are therefore not completely at
risk. During the initial model period in which hospitals will not be
financially responsible for repayment to Medicare for spending
exceeding the target price, all risk will be borne by Medicare. In
addition, in later years of the model all CJR hospital gains and losses
are capped, as discussed in section III.C.8. of this final rule,
meaning that Medicare will continue to bear risk for unusually costly
cases. We do not believe that CMS should be denied the full flexibility
to utilize all current processes for pre- and post-payment review based
on existing rules and regulations for claims associated with care
furnished under this model. Such a policy could potentially encourage
inefficient or inaccurate billing practices, or hinder CMS' ability to
appropriately monitor provider and supplier practices under the model.
We also note that such situations would only happen if a claim were
later denied and as such, encourage providers and suppliers submitting
claims to ensure accuracy and that policies as laid out in this final
rule are followed by all providers and suppliers submitting Medicare
FFS claims for services furnished to beneficiaries under the model.
In response to these comments we have considered whether it would
be appropriate to allow subsequent reconciliations if claims are denied
and reprocessed after the second reconciliation. We do not believe this
is appropriate for several reasons. First, we note that in the event
that the hospital's total episode spending exceeded the target price,
we are finalizing policies that limit hospitals' financial
responsibility for such spending, as discussed in section III.C.8. of
this final rule. Second, the entire purpose of MAC and RAC audits is to
ensure that Medicare payments are correctly administered and made only
for services delivered in accordance with statute and regulation. If
the hospital enters into appropriate collaboration agreements with high
quality, responsible, and compliant PAC providers, the 14-month period
prior to the second reconciliation provides ample opportunity for the
hospital and its collaborators to work together to conduct internal
audits and ensure that PAC claims are properly submitted or corrected.
We believe it is appropriate for hospitals to continue to share some
risk with Medicare even after the final reconciliation, and believe
this provides additional incentives for them to work closely with their
collaborators to ensure that all services are delivered appropriately.
Third, we believe it is important to conclude the reconciliation
process in the timeframe we have previously outlined in this section,
in order to provide hospitals with financial results and certainty over
their performance under the model. Additional subsequent
reconciliations could introduce uncertainty for model participants.
Finally, we do agree that we have a responsibility to ensure that MACs,
RACs, and other auditing entities audit services delivered under the
CJR using the rules and regulations governing the CJR model in addition
to all other relevant statute, regulation, and guidance. We believe
that appropriate contractor training and oversight will protect
hospitals from inappropriate denials while protecting beneficiaries
from the use of inappropriate services and protecting Medicare from
making payments on inappropriate claims. We reiterate the information
provided in the proposed rule that when a hospital is eligible for a
reconciliation payment, such payment would be made to participant
hospitals in a form and manner specified by CMS. In cases where
repayment is required, as stated in the proposed rule, CMS will follow
the normal Medicare debt processes, such as issuing a demand letter.
CMS intends to build on existing processes for making reconciliation
payments to hospitals or requiring repayment which are familiar to
hospitals. Such processes will rely on electronic and other established
processes to the extent possible. We also reiterate that as discussed
in section III.C.8. of this final rule, certain hospitals would be
afforded additional financial protections. We believe are protections
are sufficient and an extended repayment process for such hospitals is
not necessary.
With regard to PIP hospitals, we appreciate that commenters point
out the different payment processes that apply to such hospitals. PIP
hospitals receive biweekly payments based on
[[Page 73387]]
hospitals' estimates of applicable Medicare reimbursement for a given
cost period. Such hospitals also submit FFS claims to Medicare, which
are reconciled against the payments made through the PIP processes.
Given that such hospitals continue to submit FFS claims and the
reconciliation and repayment amounts from the CJR model would not be
included in the PIP hospital cost reports at settlement, we do not
believe it is necessary to institute a separate reconciliation process
for PIP hospitals.
Summary of Final Decisions: After consideration of the public
comments we received, we are finalizing our proposal to calculate the
NPRA as previously outlined. We are also finalizing, without
modification, our proposal to conduct an annual retrospective
reconciliation with one subsequent reconciliation calculation in the
following year.
The following table illustrates the final timeframe for
reconciliation.
Table 24--Final Timeframe for Reconciliation in CJR
----------------------------------------------------------------------------------------------------------------
Second Second
Model Reconciliation Reconciliation calculation to calculation
Model performance performance claims submitted payment or address overlaps adjustment to
year period by repayment and claims run- reconciliation
out amount
----------------------------------------------------------------------------------------------------------------
Year 1 *.............. Episodes ending March 1, 2017... Q2 2017......... March 1, 2018... Q2 2018.
June 30, 2016
to December 31,
2016.
Year 2................ Episodes ending March 1, 2018... Q2 2018......... March 1, 2019... Q2 2019.
January 1, 2017
through
December 31,
2017.
Year 3................ Episodes ending March 1, 2019... Q2 2019......... March 2, 2020... Q2 2020.
January 1, 2018
through
December 31,
2018.
Year 4................ Episodes ending March 2, 2020... Q2 2020......... March 1, 2021... Q2 2021.
January 1, 2019
through
December 31,
2019.
Year 5................ Episodes ending March 1, 2021... Q2 2021......... March 1, 2022... Q2 2022.
January 1, 2020
through
December 31,
2020.
----------------------------------------------------------------------------------------------------------------
* Note that the reconciliation for Year 1 would not include repayment responsibility from CJR hospitals.
This final policy is set forth at Sec. 510.305.
7. Adjustments for Overlaps With Other Innovation Center Models and CMS
Programs
a. Overview
In the proposed rule, we acknowledged that there may be
circumstances where a Medicare beneficiary in a CJR episode may also be
assigned to an ACO participating in the Shared Savings Program or
otherwise accounted for in a payment model being tested by the
Innovation Center. Current or forthcoming programs and models with
potential overlap with CJR are displayed in Table 24. For purposes of
this final rule, ``total cost of care'' models refers to models in
which episodes or performance periods include participant financial
responsibility for all Part A and Part B spending, as well as some Part
D spending in select cases. We use the term ``shared savings'' to refer
to models in which the payment structure includes a calculation of
total savings and CMS and the model participants each retain a
particular percentage of that savings. We note that there exists the
possibility for overlap between CJR episodes and shared savings
programs and models such as the Pioneer ACO Model, other total cost of
care models such as the OCM, other Innovation Center payment models
such as BPCI, and other models or programs that incorporate per-
beneficiary-per-month fees or other payment structures.
Table 25--Current Programs and Models With Potential Overlap With CJR Model
----------------------------------------------------------------------------------------------------------------
Per-beneficiary- per-month
Program/model Brief description Shared savings? (PBPM) payments?
----------------------------------------------------------------------------------------------------------------
Pioneer ACO Model.............. ACO shared savings Yes....................... No.
model.
Medicare Shared Savings Program ACO shared savings Yes....................... No.
(Shared Savings Program). program.
Next Generation ACO Model *.... ACO shared savings Yes....................... No.
model.
Comprehensive Primary Care Pays primary care Yes....................... Yes.
initiative (CPCi). providers for improved
and comprehensive care
management.
Multi[dash]payer Advanced Multi[dash]payer model Yes....................... Yes.
Primary Care Practice (MAPCP). for advanced primary
care practices, or
``medical homes``.
Bundled Payments for Care Bundled payment program No........................ No.
Improvement (BPCI). for acute or PAC
services or both.
Oncology Care Model (OCM) *.... Multi[dash]payer model No........................ Yes.
for oncology physician
group practices (PGPs).
Comprehensive ESRD Care ACO for ESRD Medicare Yes....................... No.
Initiative (CEC) *. beneficiaries.
Million Hearts *............... Model targeting No........................ Yes.
prevention of heart
attack and stroke.
[[Page 73388]]
Medicare Care Choices Model Hospice concurrent care No........................ Yes.
(MCCM) *. model.
----------------------------------------------------------------------------------------------------------------
* Denotes model in pre-implementation phase.
In the proposed rule, we outlined the following issues that may
arise in such overlap situations that must be addressed under CJR.
First, beneficiaries in CJR episodes could also be part of BPCI Model 2
or 3 LEJR episodes or BPCI non-LEJR episodes, and the clinical services
provided as part of each episode may overlap entirely or in part.
Second, CJR reconciliation payments and repayments that are made under
Part A and B and attributable to a specific beneficiary's episode may
be at risk of not being accounted for by other models and programs when
determining the cost of care under Medicare for that beneficiary.
Third, some Innovation Center models make PBPM payments to entities for
care coordination and other activities, either from the Part A or B
Trust Fund or both, or from the Innovation Center's own appropriation
(see section 1115A(f) of the Act). These payments may occur during a
CJR episode. Finally, there could be instances when the expected
Medicare savings for a CJR beneficiary's episode (represented by the
discount percentage) is not achieved by Medicare because part of that
savings is paid back to the hospital or another entity under the Shared
Savings Program or a total cost of care model in which the beneficiary
is also included. We sought comment on our proposals to account for
overlap with the Shared Savings Program and other models, including
those listed in Table 24 as well as other CMS models or programs.
The following is a summary of the comments received and our
responses.
Comment: A commenter requested that CMS not limit providers from
developing and implementing other episode-based payment models while
participating in the CJR model.
Response: We clarify that we have not included any limitations on
participation in future or current models through this final rule. In
addition, we have included the policies in this section in order to
allow for CJR hospitals to participate in other models and initiatives
concurrently with the CJR model.
b. CJR Beneficiary Overlap With BPCI Episodes
BPCI is an episode payment model testing LEJR episodes, as well as
47 other episodes, in acute or PAC or both settings (Models 1, 2, 3 or
4). As discussed in section III.A. of the proposed rule, we proposed to
exclude from selection for participation in the CJR payment model those
geographic areas where 50 percent or more of LEJR episodes are
initiated at acute care hospitals testing the LEJR episode in BPCI in
Models 1, 2 or 4 as of July 1, 2015. In that same section, we proposed
that acute care hospitals in selected geographic areas participating in
BPCI under Model 1 (acute care only) and those participating as episode
initiators for the LEJR episode in Model 2 (acute and PAC from 30 to 90
days post-discharge) or Model 4 (prospective episode payment for the
LEJR anchor hospitalization and related readmissions for 30 days post-
discharge) be excluded from CJR. We discuss the comments received on
this proposal and our responses in section III.A.4. of this final rule.
While we believed these proposals will mitigate the overlap of CJR
beneficiaries with BPCI episodes, there may still be instances of model
overlap that we need to account for under CJR. These include
circumstances when a beneficiary is admitted to a CJR participant
hospital for an LEJR procedure where the beneficiary would also be in a
BPCI Model 2 episode under a PGP that would initiate the episode under
BPCI. In another example, a beneficiary discharged from an anchor
hospitalization under CJR could enter a BPCI Model 2 LEJR episode at
another hospital for a phased second joint replacement procedure or
enter a BPCI Model 3 LEJR episode upon initiation of PAC services at a
BPCI PAC provider episode initiator for the LEJR episode. Similarly, a
beneficiary in a BPCI Model 2 or Model 3 LEJR episode could be admitted
to a CJR participant hospital for a phased second joint replacement. In
all such scenarios in which there is overlap of CJR beneficiaries with
any BPCI LEJR episodes, we proposed that the BPCI LEJR episode under
Models 1, 2, 3, or 4 take precedence and we would cancel (or never
initiate) the CJR episode. Because the cancelation (or lack of
initiation) would only occur for overlap with BPCI LEJR episodes, we
expect that the participant hospital and treating physician would
generally be aware of the beneficiary's care pathway that would cancel
or not initiate the CJR episode. Therefore, we would exclude the CJR
episode from the CJR participant hospital's reconciliation calculations
where we compare actual episode payments to the target price under the
CJR model. If we were to allow both CJR and BPCI LEJR episodes to
overlap, we would have no meaningful way to apply the payment policies
in two models with overlapping care redesign interventions and
episodes. Participants in BPCI have an expectation that eligible
episodes will be part of the BPCI model test, whereas CJR participants
would be aware that episodes may be canceled when there is overlap with
BPCI episodes as previously discussed in this final rule. We aim to
preserve the integrity of ongoing model tests without introducing major
modifications (that is, CJR episode precedence) that could make
evaluation of existing models more challenging. We considered that
there may also be instances of overlap between CJR and BPCI Model 3
LEJR episodes where our proposal to give precedence to all BPCI
episodes could lead to undesirable patient steering because the BPCI
Model 3 episode does not begin until care is initiated at an episode-
initiating PAC provider. It could be possible for a participating CJR
hospital to purposefully guide a beneficiary to a BPCI Model 3 LEJR
episode initiating PAC provider to exclude that beneficiary's episode
from CJR. We considered giving precedence to the CJR episode in overlap
with Model 3 beneficiaries because the CJR episode begins with
admission for the anchor hospitalization and thus includes more of the
episode services. However, we believed the steering opportunities would
be limited due to the preservation of beneficiary choice of provider in
this model (as discussed in section III.E. of the proposed rule). As
outlined in section III.F. of this final rule, CJR hospitals must
provide patients with a complete list of all
[[Page 73389]]
available PAC options. Moreover, BPCI Model 3 PAC providers are
actively involved in the decision to admit patients to their
facilities. As episode initiators in BPCI, such providers are subject
to monitoring and evaluation under that model and would be vigilant
about not engaging in steering themselves or spurred by other
providers. Nevertheless, we will monitor CJR hospitals to ensure
steering or other efforts to limit beneficiary access or move
beneficiaries out of the model are not occurring (see section III.F.).
We sought comment on the proposed approach to address overlap
between CJR and BPCI episodes. The following is a summary of the
comments we received and our responses.
Comment: Many commenters supported the proposal to apply precedence
rules that attribute episodes to BPCI PGPs and PAC providers in cases
of overlap with CJR. Commenters noted the significant investment PGPs
and PAC providers have made in BPCI and a desire for these entities to
continue engagement in care redesign under BPCI. A commenter noted that
for many providers, 3-year participation in BPCI will expire near the
time when CJR begins requiring participant hospitals to accept full
financial responsibility for episode spending. The commenter believes
it would not be appropriate to change the episode precedence rules for
BPCI providers prior to the conclusion of providers' 3-year BPCI
participation, as attributing Model 2 and Model 3 PGP and PAC LEJR
episodes to CJR in lieu of BPCI could create confusion. Commenters also
requested that CMS provide additional clarification of a number of
potential scenarios beyond those addressed in the proposed rule.
Some commenters disagreed with our proposed policy to apply
precedence to BPCI Model 2 and Model 3 PGPs and PAC providers.
Commenters contended that the proposed policy was unfair, given that
BPCI participants entered models voluntarily, but hospitals in CJR were
not given the opportunity to opt out and would be at risk for episodes
where others did not perceive enough opportunity to voluntarily enter
into risk agreements under BPCI. Commenters expressed concern that,
given the precedence rules, CJR hospitals could potentially lose many
episodes to BPCI and may be financially responsible for a low volume of
episodes. Some commenters also suggested we apply a minimum threshold
to remove hospitals from the CJR model based on BPCI PGP participation.
A commenter disagreed with the proposal for BPCI PAC entities at
risk for a shorter episode duration than the CJR proposed episode to be
given precedence. Another commenter cited the potential for patient
steering issues that could arise due to our proposed policy to give
BPCI PGPs precedence over CJR hospitals for LEJR episodes. In
particular, the commenter was concerned that the precedence rules would
lead to BPCI PGPs capturing lower-risk episodes, leaving CJR hospitals
at risk for more high-risk episodes. The commenter suggested we give
precedence to CJR episodes over BPCI PGP and PAC episodes to mitigate
steering concerns.
Another commenter was concerned about potential confusion when
episodes initiated at the same acute care hospital could be in both
models; for example, when episodes initiated by a BPCI PGP at a
hospital or discharged to a Model 3 PAC are attributed to BPCI while
the remaining episodes are a part of CJR. The commenter believed that
following both sets of rules (for the BPCI and CJR models) within the
same hospital could be confusing for hospitals and partner providers
and suppliers, limiting providers' ability to target care redesign
efforts toward patients for whom a CJR hospital is financially
responsible. Another commenter requested CMS publish a public list of
BPCI episode initiators whose episodes would take precedence over CJR
episodes.
Response: We agree with commenters' assertion that maintaining
participation in the voluntary BPCI models and recognizing the
significant investments in care redesign and care coordination already
made by BPCI participants is important. BPCI participants have an
agreement with CMS and in some cases have already been participating in
the voluntary BPCI initiative for several years.
In response to commenters' requests for additional examples of
overlap scenarios, we clarify that LEJR overlap could occur in, but is
not limited to, the following situations:
A beneficiary is admitted to a CJR hospital for an LEJR
procedure and discharged to a PAC provider participating in BPCI Model
3 for the LEJR episode; the episode is attributed to the BPCI Model 3
PAC provider.
A beneficiary is admitted to a CJR hospital for an LEJR
procedure by a PGP participating in BPCI Model 2; the episode is
attributed to the BPCI Model 2 PGP.
A beneficiary is admitted to a CJR hospital for an LEJR
procedure by a PGP participating in BPCI Model 3; the episode is
attributed to the BPCI Model 3 PGP.
A beneficiary is admitted to a CJR hospital for an LEJR
procedure, followed by a second phased LEJR procedure within 90 days of
the first procedure. The second LEJR procedure is attributed to a PGP
participating in BPCI Model 2 or 3 or is followed by admission to a PAC
provider participating in BPCI Model 3 for the LEJR episode. The first
LEJR episode would be canceled and the second episode would be
attributed to the BPCI provider.
We acknowledge that some CJR hospitals could be financially at risk
for a small proportion of LEJR episodes initiated at the hospital if
there are high-volume PGPs or PAC providers in their community
initiating LEJR episodes under BPCI, yet we continue to believe those
hospitals have opportunity under the CJR model. Physicians and PAC
providers may already have worked on care redesign for LEJR
beneficiaries, and the hospitals have an opportunity to learn from that
experience. Having a smaller number of beneficiaries in the CJR model
to begin with also places hospitals at less financial risk, which may
allow them to more rapidly and nimbly design care pathways, test them,
and refine them on a smaller number of beneficiaries and with less
resources than if all of the hospital's LEJR beneficiaries were in the
CJR model from the start. We also note that, given that many providers'
3-year participation in BPCI would end in 2017 or 2018, in many cases
full financial responsibility for all of a participant hospital's LEJR
procedures under the CJR model would not be in effect until the
conclusion of the BPCI participation period when the CJR participant
hospitals could have responsibility for a larger number of episodes. By
that point in time, CJR participant hospitals should have several years
of experience with LEJR episodes focusing on quality and efficiency,
and the larger number of beneficiaries can then be integrated into
existing pathways.
While we understand the concerns of some commenters that physician
and PAC providers participating in BPCI will focus on low-risk
beneficiaries, leaving higher-risk beneficiaries to be the participant
hospital's responsibility under the CJR model so that the CJR model
beneficiaries in a performance year will not resemble those in the
baseline period used to set target prices, there are a number of model
design features that make this unlikely. First, as discussed in section
III.C.4.b.(1) of this final rule, we are stratifying episodes on the
basis of a beneficiary's hip fracture
[[Page 73390]]
status, a major factor related to higher-cost episodes, so that CJR
model participant hospitals will be appropriately paid for higher-risk
beneficiaries with hip fractures. Second, we will be monitoring for
access to care and delayed care as discussed in section III.F. of this
final rule as well as under BPCI, and examining the CJR model for
unintended consequences such as adverse selection of patients and
inappropriate referral practices in the evaluation as discussed in
section IV. of this final rule. Section III.C.12. of this final rule
also details our enforcement mechanisms for the CJR model.
We appreciate commenters' contention that allowing for both models
to coexist for LEJR episodes within the same acute care hospital may be
confusing for providers. However, we believe the importance of
continuing PGP and PAC participation in BPCI Models 2 and 3 outweighs
this risk, and believe that local providers, in the best interest of
Medicare beneficiaries and cost and quality success under the two
models, will coordinate and collaborate to respond to their
circumstances. We also note that while the BPCI and CJR models differ
in various ways, the broad goals of the models are the same: Improving
quality of care while reducing spending during the episode. We believe
it is reasonable for hospitals, PGPs, and PAC providers to engage in
care redesign strategies targeted at LEJR episodes in general,
regardless of attribution of an LEJR episode to a particular model.
Such overlap within the same hospital may incentivize additional
coordination between the entities already engaged in care redesign
under BPCI and acute care hospitals that will begin such activities as
participants in CJR.
In response to the commenter who requested a list of BPCI episode
initiators, we refer readers to the publicly available list of current
episode initiators in BPCI on the model Web site at https://innovation.cms.gov/initiatives/Bundled-Payments/Participating-Health-Care-Facilities/.
Final Decision: After consideration of the public comments
received, we are finalizing our proposal, without modification, to
apply precedence to BPCI Model 2 and Model 3 PGP and PAC provider LEJR
episodes. Specifically, if at any time during a beneficiary's CJR LEJR
episode, that beneficiary would also be in a BPCI Model 2 or Model 3
LEJR episode, the beneficiary's CJR episode would either not be
initiated or would be canceled such that it would not be included in
the participant hospital's CJR reconciliation where actual episode
spending is compared to the target price.
Comment: Many commenters requested that CMS apply precedence rules
in cases of CJR and BPCI non-LEJR overlap. Some commenters requested
that BPCI non-LEJR episodes would have precedence in the case of
overlap between a BPCI non-LEJR episode and a CJR LEJR episode, while
others requested that CJR have precedence. Commenters stated that there
was no way to fairly attribute savings between the two models in such
scenarios, if CMS allows for overlap between CJR and BPCI non-LEJR
episodes as proposed. A commenter stated that it would not be possible
to comment on which model should have precedence (CJR or BPCI) due to
ambiguity about which model would be more prevalent or expanded in the
future; another commenter shared this view, but stated that its opinion
on which model should have precedence was dependent upon the specific
financial arrangements and waivers finalized for the CJR model.
Response: We appreciate the feedback and request for clarification
on whether BPCI or CJR episode would have precedence when the same
beneficiary could be in a CJR model episode and a BPCI non-LEJR episode
for an overlapping period of time. We clarify that we did not propose a
calculation to attribute savings between the two models when concurrent
episodes occur. We proposed that each model would continue to perform
financial reconciliation activities as usual. We also believe such
overlap situations will be relatively rare, given that many LEJR
procedures are elective and would only be furnished when a physician
determines it is clinically appropriate for a beneficiary to undergo a
major surgery. We believe a beneficiary undergoing an LEJR procedure in
close proximity to an inpatient hospitalization for another condition
will be an infrequent occurrence. Applying precedence rules could
introduce confusion for providers participating in BPCI for non-LEJR
episodes and in the CJR model. For example, if a CJR hospital could
retrospectively have an LEJR episode canceled if the beneficiary is
readmitted to another hospital and initiates a BPCI episode for a non-
LEJR episode such as congestive heart failure, the CJR hospital could
be generally unaware of the beneficiary's care pathway.
As we noted in the proposed rule, we believe that where there is
overlap between BPCI and CJR LEJR episodes, providers would generally
be aware of such situations. For example, BPCI PGPs and PAC providers
would be aware that a PGP initiating an LEJR episode at a CJR hospital,
or an admission to a PAC facility in BPCI Model 3 would cancel the CJR
episode. CJR hospitals could maintain a list of BPCI participants in
their area. In contrast, if we allow any BPCI non-LEJR episode to
cancel all CJR episodes, CJR hospitals may not be aware of the
beneficiary's eventual care pathway. For example, CJR hospitals may be
unaware of cases in which the CJR LEJR episode is canceled and the non-
LEJR BPCI episode takes precedence because a wide range of BPCI
clinical episodes and provider types could cancel the CJR episode
during the 90 day post-discharge period.
We expect such cases of overlap to be rare given current BPCI
participation and the participant CJR model hospitals. We also
reiterate that when such overlap occurs, each model (BPCI and CJR)
would continue its normal financial reconciliation processes. When
overlap occurs, it is possible that savings achieved during one model
could also be counted as savings under the other model. In such cases
it could be difficult to determine whether savings achieved during an
episode were attributable to care redesign activities under BPCI or
CJR. However, allowing for overlap between BPCI non-LEJR and CJR
episodes will maximize the testing of episodes under both models and
encourage providers under BPCI and CJR to engage in care redesign and
coordination activities for all beneficiaries attributed to either
model. The following examples illustrate potential situations of
overlap:
A beneficiary is admitted to a CJR hospital for an LEJR
procedure and later readmitted to the same or a different CJR hospital
for a congestive heart failure episode under BPCI.
A beneficiary is in a BPCI PGP Model 2 episode for chronic
obstructive pulmonary disease at a CJR hospital and has an LEJR
procedure at the same or a different CJR hospital during the post-
anchor hospital discharge period of the BPCI episode.
In both situations, each model would calculate episode spending and
perform financial reconciliation as normal.
Summary of Final Decisions: After consideration of the public
comments received, we are finalizing our proposal, without
modification, to apply precedence to BPCI Model 2 and Model 3 PGP and
PAC LEJR episodes. By precedence, we mean that if for any portion of
CJR model episode, a beneficiary would also be in a BPCI LEJR episode
under Model 2 or Model 3, we will cancel (or never initiate) the CJR
episode. We refer readers to III.B.3.
[[Page 73391]]
for further discussion of the circumstances under which CJR episodes
will be canceled. We are also finalizing the proposal, without
modification, to allow for overlap between the period of time in which
a beneficiary is in a CJR episode and a BPCI non-LEJR episode.
c. Accounting for CJR Reconciliation Payments and Repayments in Other
Models and Programs
Under CJR, we proposed to annually, as applicable, make
reconciliation payments to or receive repayments from participating CJR
hospitals based on their quality performance and Medicare expenditures,
as described in section III.C.6. of the proposed rule. While we
proposed that these reconciliation payments or repayments would be
handled by MACs, the calculation of these amounts would be done
separately before being sent through the usual Medicare claims
processing systems. Nevertheless, it is important that other models and
programs in which providers are accountable for the total cost of care
be able to account for the full Medicare payment, including CJR-related
reconciliation payments and repayments as described in section III.C.6.
of the proposed rule, for beneficiaries who are also in CJR episodes.
Accordingly, it is necessary to have beneficiary-specific information
on CJR-related reconciliation payments and repayments available when
those models and programs make their financial calculations. Thus, in
addition to determining reconciliation payments and repayments for the
participant hospitals in the CJR model, we proposed to also calculate
beneficiary-specific reconciliation payment or repayment amounts for
CJR episodes to allow for those other programs and models, as their
reconciliation calculation timeframes permit, to determine the total
cost of care for overlapping beneficiaries. We would perform the
reconciliation calculations for CJR hospitals and make information
about the CJR reconciliation or repayment amounts available to other
programs and models, such as the Shared Savings Program and Pioneer ACO
as well as non-ACO total cost of care models such as CPCi and OCM that
begin reconciliation calculations after CJR. For example, this strategy
is currently in place to account for overlaps between beneficiaries
assigned or aligned to Pioneer and Shared Savings Program ACOs and BPCI
model beneficiaries. Beneficiary-specific reconciliation payment or
repayment amounts are loaded into a shared repository for use during
each program or model's respective reconciliations. However, we note
that we proposed not to make separate payments to, or collect
repayments from, participating CJR hospitals for each individual
episode, but, instead, to make a single aggregate reconciliation
payment or repayment determination for all episodes for a single
performance year, as discussed in section III.C.6. of the proposed
rule. As described in section III.C.6 of the proposed rule, we proposed
to conduct reconciliation based on claims data available 2 months after
the end of the performance year and a second calculation based on
claims data available 14 months after the end of a performance year to
account for claims run-out and potential overlap with other models. The
rationale for this proposed reconciliation process was to be able to
make payments to, and require repayment from, CJR participant hospitals
in a timely manner and to be able to account for overlaps in other
models and programs. In addition, the timing of the reconciliation was
determined giving consideration to when the other total cost of care
programs and models conduct their reconciliations so that when they
perform their financial calculations, they will have the information
necessary to account for beneficiary-specific payments/repayments made
under the CJR model as it is consistent with their policies. We intend
to report beneficiary-specific payments and repayment amounts made for
the CJR model in the CMS Master Database Management (MDM) System that
generally holds payments/repayment amounts made for CMS models and
programs. Other total cost of care models and programs can use the
information on CJR payment/repayment amounts reported in the Master
Database Management System in their financial calculations such as in
their baseline or benchmark calculations or reconciliations, to the
extent that is consistent with their policies.
We sought comment on our proposed approach to ensuring that the
full CJR episode payment for a beneficiary is accounted for when
performing financial calculations for other total cost of care and
episode-based payment models and programs. The following comments and
responses refer to the implications of our proposal to ensure other
models are able to account for the full CJR episode payment, including
any reconciliation payment or repayment amount. As discussed later in
this section, many commenters expressed concern about how this policy
would affect ACO financial calculations. Because total cost of care
models and programs, including the Shared Savings Program and other ACO
models, would include the full CJR episode payment (that is, including
any reconciliation or repayment amounts) in their annual financial
calculations determining the total spending for a beneficiary, most of
the savings achieved during a CJR episode would be attributed to the
CJR model. As discussed in section III.C.7.e. of this final rule, in
some select cases the savings amount represented by the discount
percentage could be attributed to a Shared Savings Program or other ACO
model entity.
The following is a summary of comments received and our response.
Comment: Commenters did not offer feedback on the implications of
the proposed policy on overlap with non-ACO total cost of care models.
Commenters generally supported the proposal to attribute episode
savings to the CJR model when the CJR hospital is aligned to an ACO as
a participant or provider/supplier. However, several commenters
expressed concern about the proposed policy, requesting that savings
earned during an episode (that is, any reconciliation payments) be
fully attributed to the ACO--by not accounting for reconciliation
payments in determining Medicare spending for an ACO's assigned
beneficiaries--when the ACO and CJR participant hospital are unrelated.
These commenters claimed that attributing savings to the ACO in such
cases is important for the following reasons: Ensuring ACOs are able to
earn savings during a CJR episode in some situations, supporting
population-based health models, not penalizing providers already taking
on risk, and testing a different method of overlap from the BPCI
initiative. Several commenters stated that attributing savings to the
CJR episode, regardless of whether the ACO and CJR hospital are
related, would make ACOs unable to earn savings during any CJR episode
and could erode the Shared Savings Program over the long-term as
episode-based payment models grow. A commenter also asserted that the
proposed policy could result in increased utilization of LEJR
procedures in lieu of less costly clinical interventions.
Response: We thank commenters for their feedback and engagement on
the issue of how to attribute savings among various models and programs
when overlap occurs. We also appreciate commenters' support for the
proposal to attribute savings to the CJR episode when the CJR hospital
is aligned to the ACO as a participant or provider/supplier.
[[Page 73392]]
In response to commenters who requested that we fully attribute
savings achieved (represented by reconciliation payments) during CJR
episodes to the ACO in cases where a beneficiary is assigned to an ACO
and initiates a CJR episode at a hospital that is not aligned to the
ACO as a participant or provider/supplier, we decline to diverge from
the approach we have taken in other episode payment models because we
wish to maintain consistency and because such a change would be
unworkable, as we discuss later in this section. There are several ways
in which CMS potentially could attribute savings achieved during a CJR
episode to the ACO in lieu of the CJR hospital, but after considering
them, we have concluded that each option has far-reaching and
undesirable implications for the policies and operations of both the
CJR model and ACOs. The first option would involve making the ACO to
which a beneficiary is assigned the financially responsible entity for
the CJR episode so that reconciliation payments or repayments would
ultimately be the responsibility of the ACO. To accomplish this, we
would need to determine a way to make the reconciliation payment to or
request the repayment amount from the unrelated CJR hospital on behalf
of the ACO. This would mean that the CJR hospital would need to have a
financial arrangement with the unrelated ACO to pay the ACO the
reconciliation payment or the ACO would need to pay the CJR hospital if
payment is due to Medicare. Under this approach, it would be necessary
to conduct a separate reconciliation process for beneficiaries
attributed to the unrelated ACO and another reconciliation for all
other beneficiaries with CJR episodes. This would disrupt our approach
to the financial protections discussed in section III.C.8. of this
final rule--that is, stop-loss and stop-gain, which are intended to
apply to all of a CJR hospital's episodes, because we would need to
apply those thresholds separately to the episodes attributed to the
unrelated ACO. We believe this, in turn, would be confusing for
participant hospitals. We note that this is distinct from our policy to
report beneficiary-specific reconciliation amounts in the MDM, as
previously discussed in this section, which would occur after
performing the reconciliation calculations and applying the stop-loss
and stop-gain thresholds for a given hospital across all of its
aggregated episodes.
A second approach would be for all models or programs (CJR and the
Shared Savings Program or other ACO) to conduct reconciliation
activities for all beneficiaries as normal. The attribution of savings
for those CJR beneficiaries assigned to an unrelated ACO could be
accounted for through the subsequent reconciliation through the
following process. Reconciliation payments could be recouped from CJR
participant hospitals and paid to the ACOs in cases where a beneficiary
was assigned to an ACO and had a CJR episode at an unrelated CJR
hospital. However, we decline to adopt this approach because it would
introduce significant uncertainty for CJR participant hospitals and
could cause large fluctuations in reconciliation and repayment amounts
between the initial reconciliation and subsequent calculation.
Additional policies would also need to be adopted in order to ensure
the financial reconciliation activities for the CJR model and the
Shared Savings Program or shared savings models are able to account for
such transactions, including further coordination of reconciliation
timelines and policies to account for the subsequent reconciliation
calculations. At present, we have not made any proposals for such types
of financial arrangements between the initiatives that would allow for
such transactions.
A final option would be to cancel (or never initiate) a CJR episode
for any beneficiary assigned to an unrelated ACO. Beneficiaries
assigned to such ACOs would need to be excluded from CJR financial
reconciliation calculations. Implementing such a policy would be
challenging, given our plan to conduct CJR reconciliation activities
prior to ACO financial reconciliations, in which ACOs finalize their
list of assigned beneficiaries. It would not be possible to finalize a
list of CJR episodes or beneficiaries until after the ACO models or the
Shared Savings Program, as applicable, had completed their financial
reconciliations. Additionally, CJR participant hospitals would not know
until well after episodes were completed whether the hospital was
actually responsible for a particular beneficiary's episode under the
CJR model. While we note that in some cases a CJR episode could be
canceled for other reasons, such as precedence for a BPCI PGP episode
as discussed in III.C.7.b, in such cases we believe that CJR hospitals
will generally be aware of the possibility of episode cancelation due
to BPCI precedence. For example, a CJR hospital may be aware that any
time a given PGP furnishes an LEJR procedure to a Medicare beneficiary
in the CJR hospital, that beneficiary will most likely be in a BPCI,
not CJR, episode. In contrast, the uncertainty of final ACO assignment
lists prior to the CJR reconciliation activities could lead to
significant unanticipated changes in episode attribution. In addition,
the high volume of potential CJR episodes that would be canceled under
this approach could potentially limit the scope of the CJR model test.
As discussed in section I.A. of this final rule, CJR is intended to be
a robust test of episode payment across many types of hospitals.
Because this approach is generally inconsistent with our proposals
for the CJR model, we decline to adopt it. In addition, if CMS were to
pursue a policy for attributing CJR model episode savings to an ACO in
lieu of to the CJR hospital, the ACO--not the hospital--would become
the risk-bearing entity for some beneficiaries (those assigned to the
ACO), which is inconsistent with our stated policy in section III.A.2.
of this final rule to designate hospitals as financially responsible
for all CJR episodes. As discussed in detail in section III.A.2. of
this final rule, we believe hospitals are the most appropriate entities
to manage the care and financial responsibility for CJR episodes. CJR
hospitals could be unaware that beneficiaries are assigned to an ACO,
given that their episodes would be canceled or attributed to the ACO
only in cases where the CJR hospital is not participating in the ACO.
Given the significant complexity such a change would introduce, and
the changes in other CJR model and ACO policies and operations that
would be required to implement such a change (such as CJR model
reconciliation processes, application of financial protections for
hospitals, and financial arrangements), we continue to believe it is
most appropriate, consistent with the policies of both the CJR model
and the Shared Savings Program and other ACO models, and operationally
feasible to attribute savings achieved during a CJR episode (that is,
reconciliation payments) to the CJR model in all cases. Doing so also
attributes these savings to the episode that is most proximate to the
beneficiary's care during an LEJR episode. We refer readers to section
III.C.7.e. of this final rule for discussion of the CJR discount
percentage and attribution of the savings represented by the discount
percentage.
We do not agree that our proposal to attribute savings achieved
during CJR episodes via reconciliation payments to the CJR participant
instead of the ACO incentivizes overutilization of LEJR procedures,
penalizes providers taking on risk, or harms population-based health
models. First, as discussed in
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section III.F.2. of this final rule, we believe that the usual tools
employed by CMS including data analysis, the process of tracking
patterns of utilization and trends in the delivery of care, and medical
review, a clinical audit process by which we verify that services paid
by Medicare were reasonable and necessary in accordance with section
1862(a)(1)(A) of the Act, will help to ensure that LEJR procedures
under the CJR model are reasonable and necessary. Second, ACOs will be
assured of predictable spending (at the amount of the target price,
which would in all cases reflect a discount off total spending that
would have occurred absent the CJR model) for care provided during CJR
episodes, as opposed to the uncertainty of spending for beneficiaries
not included in CJR episodes. Although ACOs may estimate they can
achieve more savings for these beneficiaries' episodes than the
discount factor reflected in the CJR model target price, higher savings
are not certain. ACOs will continue to have savings opportunities for
CJR model beneficiaries during the other 9 or so months of the ACO's
performance year, as well as for unrelated services throughout the CJR
model episode. This also holds true for the BPCI episodes currently in
testing, which include 48 surgical and medical episodes, many of them
far less frequent and with less predictable costs than the LEJR
episodes in the CJR model. Finally, the population health focus of ACOs
will continue to be valuable as it is much broader than the CJR model,
with great potential for improving the overall health of Medicare
beneficiaries and reducing costs. For example, the CJR model begins
with admission to the inpatient hospital for the LEJR procedure, yet
the underlying clinical condition for beneficiaries undergoing elective
THA or TKA is most likely to be long-standing osteoarthritis. Evidence-
based conservative management of this condition may delay the THA or
TKA or eliminate the need for it altogether, in which case a CJR model
episode would never occur. The same concept holds true for all of the
episode payment models currently in testing that are focused around an
inpatient hospitalization. An ACO's expertise and skill in population
health care management may sharply reduce the need for inpatient
hospitalization, resulting in substantial direct savings to the ACO and
no initiation of an episode under an episode payment model.
Coexistence of episode-based payment models and ACOs may lead to
improved care redesign and coordination strategies, and ultimately,
improved quality of care for beneficiaries. While episode-based payment
models such as the CJR model target care during a relatively short time
span, models incorporating the total cost of care over a longer time
period such as ACOs focus on population health and strategies to
improve care coordination across the entire spectrum of care. In order
to achieve the agency's goals of better care, smarter spending, and
healthier people, CMS must engage providers in a variety of models and
rigorously evaluate the results of such models and programs in order to
identify specific care redesign strategies and payment mechanisms that
are effective in reaching these goals. An important feature of such
testing and evaluation is also understanding how various models or
programs work alongside other initiatives. For this reason, we believe
it is appropriate for CMS to allow for the coexistence of various
initiatives such as episode-based payment models and ACOs. Doing so
will provide robust information on the results of each model, including
information on how particular payment structures fare across a variety
of regions and in markets with varying levels of provider participation
in other models.
In addition, we note that although there are important structural
differences between initiatives such as CJR and the Shared Savings
Program or other ACO models, the underlying goals are the same. Both
CJR and the ACO initiatives target improved quality of care and reduced
spending during a defined period of time. Over time, provider
organizations participating in one or both types of models will
continue to find ways to work together to better coordinate care for
beneficiaries, improve clinical efficiencies and reduce unnecessary
utilization of health care services, and succeed financially under
various types of payment models and programs.
Finally, while we appreciate commenters' suggestion that we test a
different method for overlap with ACOs than that used for the BPCI
initiative, we do not intend to test a different savings attribution
method at this time. Both BPCI and the CJR model share the common
episode-initiating event of an inpatient hospitalization and, in the
case of each of these models as designed, we have concluded that the
same savings attribution policy is appropriate. As we develop other
episode payment models in the future and consider the potential for
expansion of successful episode payment models, we will consider the
perspectives offered by the commenters on the CJR model in the design
of those models as we develop overlap policies or consider changes to
existing policies.
For the reasons previously stated, we are finalizing our proposal
to attribute savings achieved (via reconciliation payments) during CJR
episodes to CJR participant hospitals. We refer readers to section
III.C.7.e. of this final rule for discussion of the attribution of
savings for the CJR discount percentage.
Comment: A commenter requested that CMS not account for overlap
between models by including reconciliation payments or savings amounts
from one model in the financial calculations for another model. The
commenter asserted that any double counting of savings would be offset
by compounded efficiencies and clinical integration.
Response: We agree with the commenter that the coexistence of
various models and programs is likely to result in compounded
efficiencies and clinical integration. However, under all models and
programs we believe it is important that Medicare Trust Fund payments
made on behalf of beneficiaries be accounted for to the extent feasible
and that CMS not pay back savings that should be maintained by the
Medicare program. We are finalizing various policies, as outlined
elsewhere in this section, to minimize the double payment of savings
achieved during CJR episodes and under other models and programs. In
addition, we note that under the Shared Savings Program regulations at
425.604(a)(6)(ii), CMS considers all Part A and B expenditures,
including payments made under a demonstration or model. Given that CJR
reconciliation payments are made from the Trust Funds, and can be
attributed to a particular assigned beneficiary, the Shared Savings
Program regulations require that such payments be taken into account
for the calculation of shared savings or losses.
Comment: Several commenters requested that CMS provide CJR
hospitals with a list of beneficiaries prospectively aligned to ACOs.
Commenters stated that such information would aid participants in both
CJR and the model or program.
Response: We appreciate the commenters' suggestion. However,
providing such a list to CJR participants could potentially lead to
patient steering. Because we expect hospitals and other providers and
suppliers to engage in care redesign activities under both an ACO model
or the Shared Savings Program and the CJR model, it would not be
appropriate to create incentives for providers and suppliers to
[[Page 73394]]
treat beneficiaries differently based on ACO alignment status.
Comment: Numerous commenters requested that CMS allow for Shared
Savings Program ACOs or other current or future ACOs participating in
risk-bearing ACO models (such as under the Next Generation ACO model)
to opt out of the CJR model for beneficiaries aligned to those ACOs.
Several commenters suggested allowing Track 2 or Track 3 Shared Savings
Program ACOs that had achieved savings in previous performance years to
opt out of the CJR model for their aligned beneficiaries.
Response: As previously discussed, we believe it is possible and
desirable for the multiple CMS programs and models to coexist. We also
believe the coexistence of episode-based payment models and total cost
of care models such as ACOs can lead to increased efficiencies for both
initiatives and additional coordination among providers. As discussed
in section III.A. of this final rule, we do not believe it would be
appropriate to allow ACOs to opt their aligned hospitals out of the CJR
model. Such a policy could significantly diminish the number of
participants in the CJR model, eroding our ability to evaluate the CJR
model. As discussed in section I.A. of this final rule, CJR is intended
to test the effect of episode payment across a variety of hospitals.
Significantly limiting the scope of the model by allowing ACOs to opt
their hospitals out of participation in CJR would impact our ability to
achieve the goals of the model.
Comment: A commenter requested that if precedence is not given to
Shared Savings Program ACOs for savings arising from CJR episodes
initiated at unrelated hospitals, CMS should require CJR hospitals to
sign agreements with ACOs in the same MSA to coordinate care for such
beneficiaries. The commenter suggested such mandated agreements include
specific requirements for the CJR hospital to coordinate a
beneficiary's care, such as documented use of clinical practice
guidelines and a care plan.
Response: Requiring this type of agreement would be inappropriate
at this time because it is inconsistent with current CMS policies and
practices. While we offer opportunities for providers participating in
models such as CJR to enter into financial arrangements with other
providers and suppliers and encourage model participants to form
clinical partnerships or financial arrangements with other providers
and suppliers where appropriate, we do not require specific care
coordination agreements or arrangements between entities participating
in different CMS models or programs. For further information on our
policies regarding agreements and relationships between providers and
suppliers coordinating care for beneficiaries under the CJR model, we
refer readers to section III.C.10. of this final rule for discussion of
financial arrangements under the CJR model.
Summary of Final Decisions: After consideration of the public
comments we received, we are finalizing our policy to make
reconciliation and repayment amounts under the CJR model available to
other models and programs to include in their financial reconciliation
calculations.
This policy is set forth at Sec. 510.305.
d. Accounting for PBPM Payments in the Episode Definition
There are currently five CMS models that pay PBPM payments to
providers for new or enhanced services as displayed in Table 17. These
PBPM payments vary as to their funding source (Medicare Trust Funds or
Innovation Center appropriation), as well as to their payment
methodology.
In general, these PBPM payments are for new or enhanced provider or
supplier services that share the goal of improving quality of care
overall and reducing Medicare expenditures for services that could be
avoided through improved care coordination. Some of these PBPM payments
may be made for services furnished to a beneficiary that is in another
Innovation Center model at the that same time that the beneficiary is
in a CJR LEJR episode, but the clinical relationship of services paid
by the PBPM payments to the CJR episode will vary. For purposes of CJR,
we consider clinically related those services paid by PBPMs that are
for the purpose of care coordination and care management of any
beneficiary diagnosis or hospital readmission not excluded from the CJR
episode definition, as discussed in section III.B.2. of this final
rule.
We would determine whether the services paid by PBPM payments are
excluded from the CJR episode on a model by model basis based on their
funding source and clinical relationship to CJR episodes. If we
determine a model's PBPM payments are for new or enhanced services that
are clinically related to the CJR episode and the PBPM payment is
funded through the Medicare Part A or B Trust Fund, we would include
the services paid by the PBPM payment to the extent they otherwise meet
the proposed episode definition for the CJR model. That is, we would
include the clinically related services paid by a PBPM payment if the
services would not otherwise be excluded based on the principal
diagnosis code on the claim, as discussed in section III.B.2 of the
proposed rule. The PBPM payments for clinically related services would
not be excluded from the historical CJR episodes used to calculate
target prices when the PBPM payments are present on Part A or Part B
claims, and they would not be excluded from calculation of episode
actual expenditures during the performance period. PBPM model payments
that we determine are clinically unrelated would be excluded,
regardless of the funding mechanism or diagnosis codes on claims for
those payments. We note that in the case of PBPM model payments,
principal diagnosis codes on a Part B claim (which are used to identify
exclusions from CJR episodes, as discussed in section III.B. of this
final rule), would not denote the only mechanism for exclusion of a
service from the CJR episode. All such PBPM model payments we determine
are clinically unrelated would be excluded as discussed in this
proposal. Finally, all services paid by PBPM payments funded through
the Innovation Center's appropriation under section 1115A of the Act
would be excluded from CJR episodes, without a specific determination
of their clinical relationship to CJR episodes. We believed including
such PBPM payments funded under the Innovation Center's appropriation
and not included on claims would be operationally burdensome and could
significantly delay any reconciliation payments and repayments for the
CJR model. In addition, because these services are not paid for from
the Medicare Part A or B Trust Fund, we are not confident that they
would be covered by Medicare under existing law. Therefore, we believed
the services paid by these PBPM payments are most appropriately
excluded from CJR episodes. Our proposal for the treatment of services
paid through model PBPM payments in CJR episodes would pertain to all
existing models with PBPM payments, as well as future models and
programs that incorporate PBPM payments. We believed that this proposal
is fully consistent with our goal of including all related Part A and
Part B services in the CJR episodes, as discussed in section III.B.2.
of the proposed rule.
Under this proposal, only one of the active models displayed in
Table 17 include services paid by PBPM payments that would not be
excluded from CJR episodes. The MAPCP model makes PBPM payments that
are funded
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through the Trust Fund for new or enhanced services that coordinate
care, improve access, and educate patients with chronic illnesses. We
expect these new or enhanced services to improve quality and reduce
spending for services that may have otherwise occurred, such as
hospital readmissions, and consider them to be clinically related to
CJR episodes because the PBPM payments would support care coordination
for medical diagnoses that are not excluded from CJR episodes. Thus, we
proposed that services paid by PBPM payments under the MAPCP model not
be excluded from CJR episodes to the extent they otherwise meet the
proposed episode definition. While the OCM model will pay for new or
enhanced services through PBPM payments funded by the Medicare Part B
Trust Fund, we did not believe these services are clinically related to
CJR episodes. The OCM model incorporates episode-based payment
initiated by chemotherapy treatment, a service generally reported with
ICD-9-CM and ICD-10-CM codes that are specifically excluded from the
CJR episode definition in section III.B.2. of this final rule. We
believed the care coordination and management services paid by OCM PBPM
payments would be focused on chemotherapy services and their
complications, so the services would be clinically unrelated to CJR
episodes. Therefore, we proposed that services paid by PBPM payments
under the OCM model be excluded from CJR episodes. Similarly, we
proposed to exclude services paid by PBPM payments under the Medicare
Care Choices Model (MCCM) from the CJR episode spending calculations.
The MCCM focuses on providing care coordination and palliative care
services for beneficiaries with certain conditions certified as
terminally ill with a life expectancy of 6 months or less that have not
elected the Medicare hospice benefit. The MCCM seeks to test whether
providing palliative care services, without beneficiaries having to
forgo curative care, incentivizes beneficiaries to elect hospice
sooner. This is aimed at addressing the large percentage of hospice
beneficiaries who elect the hospice benefit too late to fully benefit
from the range of services that hospice has to offer at end of life.
Since the purpose of the MCCM is to test whether providing palliative
care services to beneficiaries who are otherwise eligible to elect the
Medicare hospice benefit without requiring the beneficiary to forgo
curative care results in beneficiaries electing the hospice benefit
sooner, we are not including such payments in the CJR episode spending
calculations at this time. In addition, unlike the regular hospice
benefits, which are furnished to beneficiaries in lieu of curative care
and which therefore can be coordinated during a LEJR episode, as
described in section III.B.2.b. of this final rule, the services
furnished under the MCCM will be in addition to curative services. We
note that we are including such curative services in the episode, as
they are consistent with our episode definition described in III.B.2.of
this final rule, but not the services represented by the PBPM, which
are provided in addition to curative services. Beneficiaries electing
the hospice benefit could have lower episode spending because they have
forgone curative care, however beneficiaries included in the MCCM may
have higher episode spending because they are receiving both curative
care and the services represented by the PBPM. We do not want to create
incentives that deter providers from enrolling beneficiaries in the
MCCM model. We note that Part A and Part B services would be included
in episodes in both the historical and performance periods used for
spending calculations, while the inclusion of PBPM payments would only
occur for those time periods (historical and performance periods)
during which the relevant model was active. Given that the MCCM was not
active during the CJR initial historical period, if we were to include
MCCM PBPM payments they would only be included in CJR performance
period spending calculations. Excluding MCCM payments also ensures that
we do not incentivize providers to avoid enrolling beneficiaries in the
MCCM to minimize the effect of the PBPM payment amounts on episode
spending during CJR performance periods.
We acknowledge there may be new models not included in Table 17
that could incorporate a PBPM payment for new or enhanced services. We
would plan to make our determination about whether services paid by a
new model PBPM payment that is funded under the Medicare Trust Funds
are clinically related to CJR episodes through the same subregulatory
approach that we are proposing to use to update the episode definition
(excluded MS-DRGs and ICD-10-CM diagnosis codes). We would assess each
model's PBPM payment to determine if it would be primarily used for
care coordination or care management services for excluded clinical
conditions under the LEJR episode definition for CJR based on the
standards we proposed to use to update the episode definition that are
discussed in section III.B.2 of the proposed rule.
If we determine that the PBPM payment would primarily be used to
pay for services to manage an excluded clinical condition, we would
exclude the PBPM payment from the CJR episode on the basis that it pays
for unrelated services. If we determine that the PBPM payment could
primarily be used for services to manage an included clinical
condition, we would include the PBPM payment in the CJR episode if the
diagnosis code on the claim for the PBPM payment was not excluded from
the episode, following our usual process for determining excluded
claims for Part B services in accordance with the episode definition
discussed in section III.C.2 of the proposed rule. We would post our
proposed determination about whether the PBPM payment would be included
in the episode to the CMS Web site to allow for public input on our
planned application of these standards, and then adopt changes to the
overlap list with posting to the CMS Web site of the final updated list
after our consideration of the public input.
We sought comment on our proposals to account for Innovation Center
model PBPM payments under CJR.
The following is a summary of the comments received and our
responses.
Comment: A commenter supported the proposal to exclude CPCi, OCM,
and MCCM PBPM payments and the proposal to seek future public input on
PBPM payments that are clinically related to CJR.
Response: We thank the commenter for support of our proposal to
exclude CPCi, OCM, and MCCM PBPM payments from CJR episode spending
calculations.
Final Decision: After consideration of the public comments we
received, we are finalizing the proposed policy, without modification,
to include PBPM payments that are funded with Trust Fund dollars, if
the services would not otherwise be excluded under the model episode
definition. Included PBPM payments would be included in CJR model
financial calculations only for historical and performance periods
during which the model with a PBPM is active and the PBPM is funded
with Trust Fund dollars.
This policy is set forth at Sec. 510.200.
e. Accounting for Overlap With Medicare Initiatives Involving Shared
Savings and Total Cost of Care Models
In addition to the Medicare Shared Savings Program under section
1899 of the Act, there are several ACO and other Innovation Center
models that make or will make, once implemented, providers
[[Page 73396]]
accountable for total cost of care over 6 to 12 months, including the
Pioneer ACO Model, Next Generation ACO Model, Comprehensive ESRD Care
(CEC) Model, CPCi, OCM, and the MAPCP Demonstration. Some of these are
shared savings models (or programs, in the case of the Shared Savings
Program), while others do not involve shared savings but still hold
participating providers accountable for the total cost of care during a
defined episode of care, such as OCM. Note that as discussed in section
III.C.7.a. of this final rule, ``total cost of care'' models refer to
models in which episodes or performance periods include participant
financial responsibility for all Part A and Part B spending, as well as
some Part D spending in select cases. Each of these payment models
holds providers accountable for the total cost of care over the course
of an extended period of time or episode of care by applying various
payment methodologies. In the proposed rule, we stated our belief that
it is important to simultaneously allow beneficiaries to receive care
under broader population-based and other total cost of care models, as
well as episode payment models that target a specific episode of care
with a shorter duration, such as CJR. Allowing beneficiaries to receive
care under both types of models may maximize the potential benefits to
the Medicare Trust Funds and participating providers and suppliers, as
well as beneficiaries. Beneficiaries stand to benefit from care
redesign that leads to improved quality for LEJR episodes of care even
while also receiving care under these broader models, while entities
that participate in other models and programs that assess total cost of
care stand to benefit, at least in part, from the cost savings that
accrue under CJR. For example, a beneficiary receiving an LEJR
procedure may benefit from a hospital's care coordination efforts with
regard to care during the inpatient hospitalization. The same
beneficiary may be attributed to a primary care physician affiliated
with an ACO who is actively engaged in coordinating care for all of the
beneficiary's clinical conditions throughout the entire performance
year, beyond the 90-day post-discharge LEJR episode.
We proposed that a beneficiary could be in a CJR episode, as
defined in section III.B. of this final rule, by receiving an LEJR
procedure at a CJR hospital, and also attributed to a provider
participating in a model or program in Table 17. For example, a
beneficiary may be attributed to a provider participating in the
Pioneer ACO model for an entire performance year, as well as have a CJR
episode during the ACO's performance year. Each model incorporates a
reconciliation process, where total included spending during the
performance period or episode are calculated, as well as any potential
savings achieved by the model or program. Given that we proposed to
allow for such beneficiary overlap, we stated our belief that it would
be important to account for savings under CJR and the other models and
programs with potential overlap in order that CMS can apply the
respective individual savings-related payment policies of the model or
program, without attributing the same savings to more than one model or
program. In the proposed rule, we stated our belief that when overlap
occurs, it is most appropriate to attribute Medicare savings accrued
during the CJR time period (hospitalization plus 90 days post-
discharge) to CJR to the extent possible. The CJR episode has a shorter
duration and is initiated by a major surgical procedure, requiring an
inpatient hospitalization. In contrast, the total cost of care models
listed in Table 17 incorporate 6 to 12 month performance periods for
participants and, in general, have a broader focus on beneficiary
health. Our intention was to ensure that CJR episodes are attributed
the full expected savings to Medicare to the extent possible. As such,
we proposed the following policies to ensure that other programs and
models are able to account for the reconciliation payments paid to CJR
hospitals to the extent possible prior to performing their own
reconciliation calculations and that, in all appropriate circumstances,
the CJR model or the other program or model would make an adjustment
for savings achieved under the CJR model and partially paid back
through shared savings/performance payments under other initiatives to
ensure that the full CJR model savings to Medicare is realized.
We proposed that the total cost of care calculations under non-ACO
total cost of care models would be adjusted to the extent feasible to
account for beneficiaries that are aligned to participants in the model
and whose care is included in CJR in order to ensure that the savings
to Medicare achieved under CJR (the discount percentage) are not paid
back under these other models through shared savings or other
performance-based payment. Thus, the non-ACO total cost of care models
would adjust their calculations to ensure the CJR discount percentage
is not paid out as savings or other performance-based payment to the
other model participants. As previously discussed, we believe that the
efficiencies achieved during the CJR episode should be credited to the
entity that is closest to that care for the episode of care in terms of
time, location, and care management responsibility, rather than the
broader entity participating in a total cost of care model that spans a
longer duration. We proposed that the non-ACO total cost of care models
to which this policy would apply would include CPCi, OCM, and MAPCP. We
sought comment on our proposal to account for overlap with those non-
ACO total cost of care models and any other current or forthcoming
models.
We received no comments on our proposed policy to account for the
potential for the discount percentage to be paid out as savings by a
non-ACO total cost of care model.
We proposed a different policy for accounting for overlap with
Shared Savings Program and other ACO models. We noted that given the
operational complexities and requirements of the Shared Savings Program
reconciliation process, it would not be feasible for the Shared Savings
Program to make an adjustment to account for the discount to Medicare
under a CJR episode under existing program rules and processes.
Additionally, for programmatic consistency across the Shared Savings
Program and other ACO models, given that our ACO models generally are
tested for the purpose of informing future potential changes to the
Shared Savings Program, in the proposed rule we stated our belief that
the ACO model overlap adjustment policy should be aligned with the
Shared Savings Program policy. Thus, we proposed that under CJR, we
would make an adjustment to the reconciliation amount if available to
account for any of the applicable discount for an episode resulting in
Medicare savings that is paid back through shared savings under the
Shared Savings Program or any other ACO model, but only when a CJR
participant hospital also participates in the ACO and the beneficiary
in the CJR episode is also assigned to that ACO. This adjustment would
be necessary to ensure that the applicable discount under CJR is not
reduced because a portion of that discount is accounted for in shared
savings to the ACO and thus, indirectly, is paid back to the hospital.
However, we proposed not to make an adjustment under CJR when a
beneficiary receives an LEJR procedure at a participant hospital and is
assigned
[[Page 73397]]
to an ACO in which the hospital is not participating. While this
proposal would leave overlap unaccounted for in such situations, we did
not believe it would be appropriate to hold responsible for repayment
the hospital that managed the beneficiary during the episode through a
CJR adjustment, given that the participant hospital may have engaged in
care redesign and reduced spending during the CJR episode and may be
unaware that the beneficiary is also assigned to an ACO. However, we
recognized that as proposed this policy would allow an unrelated ACO
full credit for the Medicare savings achieved (via the discount
percentage) during the episode. The evaluation of the CJR model, as
discussed in section IV. of this final rule, would examine overlap in
situations where there is overlap between ACOs and CJR to the extent
feasible and the potential effect on Medicare savings.
We note that our proposed policy would entail CJR reclaiming from
the participant hospital any discount percentage paid out as shared
savings under the Shared Savings Program or ACO models only when the
hospital is participating in an ACO as a participant or provider/
supplier and the beneficiary is assigned to that ACO, while other total
cost of care models such as CPCi would adjust for the discount
percentage in their calculations to the extent feasible. While it is
operationally feasible for smaller total cost of care models in
testing, such as CPCi, to make an adjustment to account for any CJR
discount percentage paid out as sharing savings or other performance-
based payments, the operational complexities and requirements of the
large permanent Medicare ACO program, the Shared Savings Program, make
it infeasible for that program to make an adjustment in such cases, and
in the proposed rule we stated our belief that other ACO models in
testing that share operating principles with the Shared Savings Program
should follow the same policies as the Shared Savings Program
adjustment for certain overlapping ACO beneficiaries. As the landscape
of CMS models and programs changes, we may revisit this policy through
future rulemaking.
We sought comment on our proposal for adjustments to account for
overlap of the discount percentage between CJR and ACO models or
programs.
The following is a summary of the comments received and our
responses.
Comment: A commenter suggested that the proposal could create a
disincentive for health systems to expand participation in ACO
initiatives due to the more favorable treatment of non-ACO
participating hospitals. The commenter also requested that CMS not
recoup the portion of the discount percentage paid out as savings,
regardless of whether the CJR hospital is participating in an ACO as a
participant or provider/supplier.
Response: As discussed in section III.C.7.c. of this final rule, we
proposed to make CJR reconciliation and repayment amounts available for
other models and programs to include in their financial calculations.
As commenters noted, the effect of this proposed policy is that savings
achieved during the CJR episode would generally be attributed to the
CJR model. This proposed policy does not distinguish between ACO and
non-ACO entities. In contrast, this section outlines our proposal to
make an adjustment to CJR reconciliation amounts in certain situations
when a portion of the CJR discount percentage was paid out as savings
to an ACO.
For purposes of limiting the instances in which a portion of the
discount percentage is doubly counted as savings, we proposed the
following. When a beneficiary has a CJR episode and is also assigned to
an ACO, it is possible that a portion of the CJR discount percentage
could be paid out as savings through the ACO's financial
reconciliation. The reconciliation or repayment amounts shared with
other models for incorporation into their financial calculations are
based on the episode target price, which does not include the spending
amount equal to the discount percentage as the discount represents
potential savings to Medicare. We proposed that when overlap occurs
between CJR hospitals that are participating in an ACO model or program
as a participant or provider/supplier, we would make an adjustment to
the reconciliation payment (if available) to account for the portion of
the discount that was paid to the ACO as shared savings. For example,
through the subsequent reconciliation calculation, described in section
III.C.6. of this final rule we would reduce a CJR hospital's
reconciliation payment by the dollar amount that would have been saved
by CMS under the applicable CJR discount percentage, but was determined
to have been paid to the ACO as shared savings. In cases where the CJR
hospital is not participating in the Shared Savings Program or an ACO
model, we would not make such an adjustment. We believe it is
reasonable to minimize the situations in which the CJR discount
percentage is double counted as savings. We also believe our policy not
to make this adjustment in the case of an unrelated ACO is appropriate,
given that the ACO may be unaware of the beneficiary's care pathway or
that the beneficiary's LEJR episode is included in the CJR model
because the CJR hospital and the ACO are not related. We also note that
while making an adjustment to a CJR hospital's reconciliation payment
is within the scope of the CJR model, adjusting shared savings amounts
for ACO entities would necessitate changes to agreements to the Shared
Savings Program and other ACO model agreements and methodologies. For
the reasons previously stated, we believe unrelated ACOs should not be
required to repay the amount of the CJR discount percentage included in
the ACO's financial reconciliation.
We do not believe our proposed policy would create a disincentive
for health systems to participate in an ACO. Hospitals that are not
participating in the Shared Savings Program or other ACO models are
treated the same as those participating in an ACO for purposes of
determining attribution of savings during the CJR episode represented
by the reconciliation payments, as previously discussed in section
III.C.7.c. of this final rule. As discussed in that section, after
performing the financial reconciliation calculations for CJR, we will
put the reconciliation or repayment amounts, as applicable, in a shared
repository for other models or programs to use in their own financial
calculations. The reconciliation or repayment amounts would be taken
into account as if they were FFS payments made for a covered service
furnished to a beneficiary, to the extent that such inclusion of
payments is consistent with the other model or program's policies. In
applying this policy, we will not make a distinction between hospitals
or other providers based on participation in an ACO or other
initiative. The reconciliation or repayment amounts will be available
for all other models or programs to use in their financial calculations
as appropriate. In cases where the other initiative includes the CJR
reconciliation or repayment amounts in their financial calculations,
the savings achieved during an episode would be attributed to CJR,
except in cases where the discount percentage is paid out as savings to
another model or program participant, as discussed later in this
section. In addition, in cases where some or all of the CJR discount
percentage is paid out to an ACO hospital through the ACO's financial
reconciliation, making an adjustment to the reconciliation payment
where available to account for the discount percentage does not
penalize the hospital participating in an ACO. Such
[[Page 73398]]
adjustment ensures that the discount percentage is not paid out as
savings to the same or a related entity.
Comment: A commenter questioned the methodology CMS proposed for
accounting for such overlap, requesting that the calculation be pro-
rated for the 90-day episode and only include the portion related to
CJR model participants.
Response: Although our calculations to determine reconciliation or
repayment amounts would be done in aggregate across all CJR episodes
for a given participants, overlap adjustments and calculations would be
done at the beneficiary level. Therefore, we do not believe proration
is necessary.
Final Decision: After consideration of the public comments we
received, we are finalizing our proposal, without modification, to
account for overlap with non-ACO total cost of care models and ACO
models and programs. In cases where a portion of the CJR discount
percentage is paid out as savings to a non-ACO model participant, the
other model will make an adjustment to their financial reconciliation
calculation to the extent feasible. In the case of such overlap with an
entity participating in the Shared Savings Program or an ACO model, the
CJR model would require repayment of the portion of the discount
percentage paid out as savings through the subsequent reconciliation
process, by making an adjustment to the reconciliation amount if
available. If a CJR hospital did not earn a reconciliation payment, the
adjustment would not be made. That is, we will not increase the amount
of a hospital's repayment amount in order to account for the portion of
the discount percentage paid out as savings. This adjustment would only
be undertaken when the CJR hospital is also aligned to an ACO as a
participant or a provider/supplier and the beneficiary in the CJR
episode was assigned or aligned to the ACO. We may revisit our approach
to accounting for overlap with the Shared Savings Program and ACO
models in future rulemaking.
Summary of Final Decisions: After consideration of the public
comments we received, we are finalizing our proposal, without
modification, for non-ACO total cost of care models to adjust their
financial reconciliation calculations to the extent feasible to ensure
that a portion of the CJR discount is not paid out as savings under
that model. We are also finalizing our proposal, without modification,
to make an adjustment to a CJR hospital's subsequent reconciliation
calculation, when the CJR hospital also participates in the ACO and the
beneficiary in the CJR episode is also assigned to that ACO, to account
for when a portion of the CJR discount percentage is paid out as shared
savings the ACO.
This policy is set forth at Sec. 510.305.
8. Limits or Adjustments to Hospital Financial Responsibility
a. Overview
As discussed in section III.A. of the proposed rule, we proposed
designating as the financially responsible providers in CJR all acute
care hospitals paid under the IPPS that are located in the selected
geographic areas for this test of 90-day post-discharge LEJR episodes,
with the exception of some hospitals that we proposed to exclude
because of participation in BPCI (Models 1, 2, or 4) for LEJR episodes.
We are interested in ensuring a broad test of episode payment for this
clinical condition among different types of hospitals, including those
who may not otherwise choose to participate in an episode payment
model. Many of the participant hospitals would likely be key service
providers in their communities for a variety of medical and surgical
conditions extending well beyond orthopedic procedures. We want to gain
experience with this model before extending it to hospitals in uncommon
circumstances. In addition, we acknowledge that hospitals designated
for participation in CJR currently vary with respect to their readiness
to function under an episode payment model with regard to their
organizational and systems capacity and structure, as well as their
beneficiary population served. Some hospitals may more quickly be able
to demonstrate high quality performance and savings than others, even
though we proposed that the episode target prices be based
predominantly on the hospital's own historical episode utilization in
the early years of CJR.
We also note that providers may be incentivized to excessively
reduce or shift utilization outside of the CJR episode, even with the
quality requirements discussed in section III.C.5. of the proposed
rule. In order to mitigate any excessive repayment responsibility for
hospitals or reduction or shifting of care outside the episode,
especially beginning in performance year 2 of the model when we
proposed to begin to phase in responsibility for repaying Medicare for
excess episode spending, we proposed several specific policies that are
also referenced in section III.C.6.b. of the proposed rule.
b. Limit on Raw NPRA Contribution to Repayment Amounts and
Reconciliation Payments
(1) Limit on Raw NPRA Contribution to Repayment Amounts
When hospital repayment responsibility begins in the second
performance year of CJR, under this final rule, hospitals would be
required to repay Medicare for episode expenditures that are greater
than the applicable target price. As discussed in the section III.C.3.c
of the proposed rule regarding our proposed pricing adjustment for high
payment episodes, hospitals participating in CJR would not bear
financial responsibility for actual episode payments greater than a
ceiling set at two standard deviations above the mean regional episode
payment. Nevertheless, hospitals would begin to bear repayment
responsibility beginning in performance year 2 for those episodes where
actual episode expenditures are greater than the target price up to the
level of the regional episode ceiling. In aggregate across all
episodes, the money owed to Medicare by a hospital for actual episode
spending above the applicable target price could be substantial if a
hospital's episodes generally had high payments. As an extreme example,
if a hospital had all of its episodes paid at two standard deviations
above the mean regional episode payment, the hospital would need to
repay Medicare a large amount of money, especially if the number of
episodes was large.
To limit a hospital's overall repayment responsibility for the raw
NPRA contribution to the repayment amount under this model, we proposed
a 10 percent limit on the raw NPRA contribution to the repayment amount
in performance year 2 and a 20 percent limit on the raw NPRA
contribution to the repayment amount in performance year 3 and
subsequent years. Hereinafter we refer to these proposed repayment
limits as stop-loss limits. In performance year 2 as we phase in
repayment responsibility, the hospital would owe Medicare under the
proposed CJR payment model no more than 10 percent of the hospital's
target price for the anchor MS-DRG multiplied by the number of the
hospital's CJR episodes anchored by that MS-DRG during the performance
year, for each anchor MS-DRG in the model. Ten percent provides an even
transition with respect to maximum repayment amounts from performance
year 1, where the hospital bears no repayment responsibility, to the
proposed stop-loss limit in performance years 3 through 5 of 20
percent. In performance years 3
[[Page 73399]]
through 5 when repayment responsibility is fully phased in, no more
than 20 percent of the hospital's target price for the MS-DRG
multiplied by the number of the hospital's CJR episodes with that MS-
DRG in that performance year would be owed by the hospital to Medicare
under the proposed CJR payment model. The proposed stop-loss percentage
of 20 percent would be symmetrical in performance years 3 through 5
with the proposed limit on the raw NPRA contribution to reconciliation
payments discussed in the following section.
We had believed that a stop-loss limit of 20 percent is appropriate
when the hospital bears full repayment responsibility, based on our
assessment of the changes in practice pattern and reductions in quality
of care that could lead to significant repayment responsibility under
the CJR model, as compared to historical LEJR episode utilization. We
estimate that the IPPS payment for the anchor hospitalization makes up
approximately 50 percent of the episode target price, and we expect
that the anchor hospitalization offers little opportunity for
efficiencies to be achieved by reducing Medicare expenditures. In
contrast, we expect significant episode efficiencies could be achieved
in the 90 days following discharge from the anchor hospitalization
through reductions in related hospital readmissions and increased
utilization of appropriate lower intensity PAC providers, specifically
increased utilization of home health services and outpatient therapy
and reduced utilization of SNFs and IRFs. Hospital readmissions and
facility-based PAC increase the typical Medicare episode payment by 30
to 45 percent over episodes that do not include these services. The
proposed 20 percent stop-loss limit related to the total episode
payment corresponds to approximately 40 percent of episode payment for
the post-discharge period only, where the major opportunities for
efficiency through care redesign occur. Thus, taking into consideration
the historical patterns used to set target prices, we believed it is
reasonable to hold participant hospitals responsible for repayment of
actual episode spending that is up to 20 percent greater than the
target price. If a participant hospital's repayment amount due to the
raw NPRA would otherwise have exceeded the stop-loss limit of 20
percent (comparable to 40 percent of Medicare payment for the post-
discharge period), the hospital's episodes would include much poorer
episode efficiency as compared to the hospital's historical episodes,
with large proportions of episodes including related readmissions and
facility-based PAC, costly services that we do not expect to be
necessary for most beneficiaries whose care is well-coordinated and
appropriate throughout a high quality LEJR episode.
The following hypothetical example illustrates how the proposed
stop-loss percentage would be applied in a given performance year for
the episodes of a participant hospital. In performance year 3, a
participant hospital had ten episodes triggered by MS-DRG 469, with a
target price for these episodes of $50,000. The hospital's episode
actual spending for these ten episodes was $650,000. The hospital's raw
NPRA that would otherwise be $150,000 ((10 x $50,000)-$650,000) would
be capped at the 20 percent stop-loss limit of $100,000 (0.2 x 10 x
$50,000) so the hospital would owe CMS $100,000, rather than $150,000.
In performance year 3, the same participant hospital also has 100
episodes triggered by MS-DRG 470, with a target price for these
episodes of $25,000. The hospital's episode actual spending for these
100 episodes was $2,800,000. The hospital's raw NPRA would be $300,000
((100 x $25,000)-$2,800,000), an amount that would be due to CMS in
full as it would not be subject to the 20 percent stop-loss limit of
$500,000 (0.2 x 100 x $25,000).
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[GRAPHIC] [TIFF OMITTED] TR24NO15.012
As illustrated in Figure 4 where we display results from our
national model for the proposed CJR performance year 2 policies when
the phase-in of repayment responsibility begins and under the
assumption that utilization remains constant, we estimate that the 10
percent stop-loss limit would impact the amount of repayment due to the
raw NPRA for about 11 percent of hospitals. For performance year 3, the
20 percent stop-loss limit would affect significantly fewer hospitals,
only about 3 percent. We note that the stop-loss limit for years 3
through 5 where repayment responsibility is fully implemented is
consistent with the BPCI Model 2 policy. While Figure 3 assumes no
change in utilization patterns, under the model test we expect that the
proposed stop-loss limits could actually affect a smaller percentage of
hospitals in each performance year because we expect LEJR episode care
redesign incentivized by the model's financial opportunities to
generally reduce unnecessary utilization, thereby reducing actual
episode spending and, correspondingly, any associated repayment amounts
due to the raw NPRA. We note that we would include any post-episode
spending amount due to Medicare according to the policy proposed in
section III.C.8.d. of the proposed rule in assessing the total
repayment amount due to the raw NPRA against the stop-loss limit for
the performance year to determine a hospital's total payment due to
Medicare, if applicable.
We sought comment on our proposal to adopt a 10 percent stop-loss limit
in performance year 2 and 20 percent stop-loss limit in performance
year 3 and beyond in CJR as hospital repayment responsibility for
excess episode spending above the target price is phased in and then
maintained in the model. The following is a summary of the comments
received and our responses.
Comment: Several commenters commented on our proposal for stop-loss
limits and expressed support of our proposal to establish stop-loss
limits on financial responsibility to 10 percent in year 2, 20 percent
in years 3 through 5 that aligned with BPCI and comments in support of
the premise of phase-in risk under a mandatory model. However, we also
received several comments in opposition of our approach for stop-loss
limits. Several commenters requested that we either delay downside risk
until Performance Year 3 or set the maximum stop-loss limit at 10
percent, as opposed to 20 percent. Several commenters suggested that we
phase in downside risk more slowly with various permutations of the
transition to downside risk such as 3 percent in year 3, 6 percent in
year 4 and 10 percent in year 5 which aligned more with the Shared
Savings Program Track 2 or that we phase in risk with no repayment in
year 1 and 2 and stop loss limit set at intervals leading up to 10
percent by performance year 5. Commenters found the stop loss limit to
be high considering that the IPPS payment for an LEJR episode comprised
50 percent of a payment, so a 10 percent stop-loss limit would actually
represent 20 percent of DRG payment and a 20 percent stop-loss limit
would represent 40 percent of DRG payment. Additionally, a commenter
was concerned that if hospitals only treat
[[Page 73401]]
outlier cases, episode costs could be highly skewed, resulting in
repayment. Commenters requested for a more gradual transition to
downside risk and a lower stop-loss limit to allow for hospitals to
have more time to gain experience under a mandatory model.
Additionally, commenters were concerned with the downward pressures
faced by hospitals under Medicare reimbursement such as penalties under
HRRP, HAC, HITECH and sequestration, and that hospitals need to manage
moving to ICD-10 and changes under MACRA. The commenter requested that
given the other competing Medicare payment policies that are affecting
hospitals, we should provide for a lower stop-loss limit.
Response: We thank the commenters for the concerns they raised
regarding the proposed stop-loss limit. As described earlier in this
final rule, we acknowledge that it may take time for the hospitals to
make changes in response to this model and to assume downside risk. We
have made several changes in response to such concerns, including
delaying the start date of this model to April 1, 2016. Additionally,
we have provided safeguards for high cost outlier episodes where we are
finalizing capping episodes that are two standard deviations above the
mean regional price when determining episode target prices and actual
episode payments. Similarly, we agree with commenters that we can
provide a more gradual transition to downside risk as hospitals make
changes to infrastructure, care coordination, and financial alignment
in response to this model. Additionally, we believe a gradual
transition to downside risk may reduce the effect of random variation
in the early years of the model that could result in highly skewed
episode costs that would result in hospital repayment. We are
finalizing our policy for no downside risk in Performance Year 1, a
stop-loss limit of 5 percent in Performance Year 2, a stop-loss limit
of 10 percent in Performance Year 3 and full downside risk with a stop-
loss limit of 20 percent in Performance Years 4 and 5. We believe that
as we move to regional pricing, hospitals will gain more experience
with the model and reduce unnecessary utilization, allowing them better
manage additional downside risk capped at 20 percent in Performance
Year 4 and 5.
Comment: We received a comment that we should align our stop-loss
limit policy with BPCI such that we allow hospitals to choose their
level of risk among different tracks such as 5 percent stop loss/stop
gain, 10 percent stop loss/stop gain or 20 percent stop loss/stop gain
limits. The commenter suggested that as hospitals have more control
over the risk they take on, they can get more benefit in terms of stop-
gain. Commenter suggested that, similar to BPCI, hospitals should be
able to change their risk level on a quarterly basis.
Response: While this may be similar to how the BPCI model operates,
we do not believe it would be appropriate to allow for that option at
this time. One of the goals of this model is to evaluate the
generalizability of a bundled payment model for selected hospitals and
we are interested in evaluating the effects on hospitals for assuming
financial responsibility of an episode of care that include downside
risk with limits over time. If we allow hospitals to choose their risk
level over time, it adds to the operational complexity of this model
and may limit the generalizability of the findings.
Comment: We received a comment that we should use dollar thresholds
to set the stop-loss limits as opposed to percentages. The commenter
was concerned that depending on the amount of volume at a hospital, the
proposed 10 percent stop-loss limit in Performance Year 2 or 20 percent
stop-loss limit in Performance Year 3 through 5 could be difficult to
absorb.
Response: We believe that it would be operationally complex to
establish a stop-loss limit based on a dollar amount given the payment
policies finalized in this rule. It would be difficult to establish a
dollar amount stop-loss limit as selected hospitals have varying
volumes for LEJR episodes that we are not able to predict over the
course of the model. Additionally, we are finalizing to adjust target
episode prices twice a year in accordance with updates to the Medicare
FFS schedules so it would be challenging to additionally adjust stop-
loss limits based on a dollar amount. We believe the percentage based
stop-loss limits are easier for the public to understand.
Final Decision: After consideration of the public comments we
received, we are finalizing to apply stop-loss limits of 5 percent in
performance year 2, 10 percent in performance year 3 and 20 percent for
performance years 4 and 5. This is a change from the proposed rule
where we had proposed to apply stop-loss limits of 10 percent in
Performance Year 2 and 20 percent in Performance Years 3 through 5. We
are codifying these changes at Sec. 510.305(e)(1)(v)(C).
(2) Limit on Raw NPRA Contribution to Reconciliation Payments
We believed a limit on reconciliation payments for CJR would be
appropriate for several reasons. Due to the proposed nature of the CJR
model during performance year 1, when hospitals have no repayment
responsibility for excess episode spending above the target price, CMS
bears full financial responsibility for Medicare actual episode
payments for an episode that exceed the target price, and we believed
our responsibility should have judicious limits. Therefore, we believed
it would be reasonable to cap a hospital's reconciliation payment due
to the raw NPRA as a percentage of episode payment on the basis of
responsible stewardship of CMS resources. In addition, we note that
beginning in performance year 1, participant hospitals would be
eligible for reconciliation payments due to the NPRA if actual episode
expenditures are less than the target price, assuming the proposed
quality thresholds are met. This proposal for reconciliation payments
due to the NPRA provides a financial incentive to participant hospitals
from the beginning of the model to manage and coordinate care
throughout the episode with a focus on ensuring that beneficiaries
receive the lowest intensity, medically appropriate care throughout the
episode that results in high quality outcomes. Therefore, we also
believed it would be reasonable to cap a hospital's reconciliation
payment due to the raw NPRA based on concerns about potential excessive
reductions in utilization under the CJR model that could lead to
beneficiary harm.
In determining what would constitute an appropriate reconciliation
payment limit due to the raw NPRA, we believed it should provide
significant opportunity for hospitals to receive reconciliation
payments for greater episode efficiency that includes achievement of
quality care and actual episode payment reductions below the target
price, while avoiding creating significant incentives for sharply
reduced utilization that could be harmful to beneficiaries. Thus, for
all 5 performance years of the model, we proposed a limit on the raw
NPRA contribution to the reconciliation payment of no more than 20
percent of the hospital's target prices for each MS-DRG multiplied by
the number of the hospital's episodes for that MS-DRG. Hereinafter we
refer to this proposed reconciliation payment limit as the stop-gain
limit. This proposed stop-gain limit is parallel to the 20 percent
stop-loss limit proposed for performance year 3 and beyond. We believed
that a parallel stop-gain and stop-loss limit is important to provide
proportionately similar protections to CMS and participant hospitals
for their financial
[[Page 73402]]
responsibilities under CJR, as well as to protect the health of
beneficiaries.
As illustrated in Figure 3 where we displayed results from our
national model for the proposed CJR performance year 2 policies under
the assumption that utilization remains constant, we estimate that the
20 percent stop-gain limit would impact the reconciliation payment
amount due to the raw NPRA of almost no hospitals. We note that a stop-
gain limit of 20 percent is consistent with BPCI Model 2 policy. While
Figure 3 assumes no change in utilization patterns, under the model
test we expect that the proposed stop-gain limit could actually affect
a few hospitals in each performance year because we expect LEJR episode
care redesign incentivized by the model's financial opportunities to
generally reduce unnecessary utilization, thereby reducing actual
episode spending and, correspondingly, increasing any associated
reconciliation payment amounts due to the raw NPRA. Nevertheless, we
believed the proposed stop-gain limit of 20 percent provides
substantial opportunity for hospitals to achieve savings over the
target price without excessive reductions in utilization, and those
savings would be paid back to hospitals fully in most cases without
being affected by the stop-gain limit. We sought comment on our
proposal to adopt a 20 percent stop-gain limit for all performance
years of CJR.
We note that we plan to monitor beneficiary access and utilization
of services and the potential contribution of the stop-gain limit to
any inappropriate reduction in episode services. We refer readers to
section III.F. of the proposed rule for our proposals on monitoring and
addressing hospital performance under CJR.
The following is a summary of the comments received and our
responses.
Comment: Commenters were generally supportive of the proposed stop-
gain limit policy at 20 percent as it aligns with BPCI. Another
commenter supported the 20 percent stop-gain limit but noted that it is
not proportional to the stop-loss limit of 20 percent that was proposed
to begin in Performance Year 3 because hospitals have to invest and
achieve a minimum 2 percent savings for the Medicare discount from a
blend of regional and provider spend which may represent a higher cost
savings. Some commenters requested that we remove a stop-gain limit as
there are sufficient safeguards in the rule that a stop gain limit was
not necessary. Additionally, commenters found a stop-gain limit could
serve as a disincentive for hospitals and hospital systems to undertake
those reforms that truly transform care.
Response: As described earlier, in response to comments that
hospitals need a more time to assume downside risk, we are similarly
finalizing a more gradual transition the stop-loss limit of 20 percent
such that in Performance Year 2, the stop-loss limit is 5 percent, in
Performance Year 3, the stop loss limit is 10 percent and in
Performance Year 4 and 5, the stop-loss limit is 20 percent. As
described in the proposed rule, we proposed parallel stop-loss and
stop-gain limits in order to provide proportionately similar
protections to CMS and participant for their financial responsibilities
under CJR, as well as to protect the health of beneficiaries. Because
we are changing our stop-loss limits in this final rule to provide for
a more gradual transition to a stop-loss limit of 20 percent, we are
believe it would be similarly appropriate to implement a gradual
transition to the full stop-gain limit of 20 percent. We believe that
the commenters' arguments for requiring additional time to make changes
to adapt to the model and to take on financial responsibility similarly
applies to hospitals' ability to obtain upside risk under this model.
We want to ensure that any repayments in the early years of the model
are not due to random variation and accordingly, we have applied a
transition to downside risk with more gradual stop-loss limits during
the course of the model. We similarly want to ensure that any savings
achieved by the hospitals in the early years of the model are also not
due to random variation and believe it would be appropriate to apply a
parallel transition with more gradual stop-gain limits during the
course of the model. Additionally, we want to ensure that changes that
the hospitals undertake to improve efficiency that include achievement
in quality care and episode payment reductions below the target episode
price also do not result in sharp decreases in utilization that could
be harmful to beneficiaries. Implementing parallel stop-loss and stop-
gain limits provides significant opportunity for hospitals to reduce
episode spending through care redesign and care coordination, with
appropriate safeguards to ensure that such redesign and coordination
activities are clinically appropriate and do not result in reduced
quality of care. We recognize that while some hospitals may already be
adept at such coordination activities, given that we are requiring
participation in the CJR model, such safeguards are necessary to
protect beneficiaries and the Trust Funds while hospitals less
experienced with care redesign adapt to the model and begin to engage
in care redesign activities. While we are implementing various
mechanisms to monitor for inappropriate changes in utilization as
discussed later in this rule, we believe it would also be appropriate
to transition to upside risk in the same manner as we are finalizing to
transition to downside risk. In addition, we believe parallel stop-loss
and stop-gain limits are appropriate for the CJR model in order to
ensure that both CMS and hospitals in the model are similarly at risk
for episode spending. Accordingly, we are finalizing a 5 percent stop-
gain limit in Performance Year 1 and 2, 10 percent stop-gain limit in
Performance Year 3 and 20 percent stop-gain limit in Performance Years
4-5. We believe that it is appropriate that as participant hospitals
increase their downside risk, they can similarly increase their
opportunity for additional payments under this model.
Additionally, we acknowledge the comment that hospitals need to
achieve a certain percent savings, representing the Medicare discount
before they are able to receive a reconciliation payment and be subject
to the stop-gain limits. As discussed in section III.C.4.b.(9) of this
final rule, we are modifying our policy in this final rule so as to use
lower discount factors for purposes of determining the hospital's
responsibility for excess episode spending not only in performance year
2, but also in performance year 3. Additionally, as discussed in
section III.C.5. of this final rule, we are modifying the proposed rule
so as to provide different levels of quality incentive payments that
would modulate participant hospitals' effective target price discount
factor based on their quality performance. We expect participant
hospitals to have significant opportunity to improve the quality and
efficiency of care furnished during episodes in comparison with
historical practice, because this model would facilitate the alignment
of financial incentives among providers and suppliers caring for
beneficiaries throughout the episode. This discount would serve as
Medicare's portion of reduced expenditures from the episode, with any
episode expenditure below the target price potentially available as
reconciliation payments to the participant hospital where the anchor
hospitalization occurred.
Final Decision: After consideration of the public comments we
received, we are finalizing to establish stop-gain limits that
correspond to the finalized stop-loss limits such that the stop-gain
limit is 5 percent in Performance Years 1 and 2, 10 percent in
Performance Year
[[Page 73403]]
3 and 20 percent in Performance Year 4 and 5. We are codifying the
establishment of stop-gain limits in this model at Sec.
510.305(e)(1)(v)(D).
c. Policies for Certain Hospitals To Further Limit Repayment
Responsibility
As discussed in section III.C.3. of the proposed rule, we proposed
that participant hospitals would be subject to repayment responsibility
for episode actual spending in excess of the applicable target price
beginning in performance year 2. Hospitals participating in CJR would
not be responsible for actual episode payments greater than a ceiling
set at two standard deviations above the mean regional episode payment
as described earlier in this section. Additionally, we proposed a 10
percent limit on the raw NPRA contribution to the repayment amount in
performance year 2 and a 20 percent limit on the raw NPRA contribution
to the repayment amount in performance year 3 and beyond, as described
in the previous section of this final rule.
Though our proposals provide several safeguards to ensure that
participant hospitals have limited repayment responsibility due to the
raw NPRA, we are proposing additional protections for certain groups of
hospitals that may have a lower risk tolerance and less infrastructure
and support to achieve efficiencies for high payment episodes.
Specifically, we are proposing additional protections for rural
hospitals, SCHs, Medicare Dependent Hospitals and Rural Referral
Centers (RRCs). We note that these categories of hospitals often have
special payment protections or additional payment benefits under
Medicare because we recognize the importance of preserving Medicare
beneficiaries' access to care from these hospitals. In MedPAC's Report
to the Congress in June 2012, MedPAC examined issues related to rural
Medicare beneficiaries and found that ``The primary objective of rural
special payments is to ensure that Medicare does its part to support
the financial viability of rural providers that are necessary for
beneficiaries' access to care. Some form of special payments will be
needed to maintain access in areas with low population density where
providers inevitably have low patient volumes and lack economies of
scale.'' \44\
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\44\ MedPAC Report to Congress June 2012, Chapter 5, page 121.
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We proposed that a rural hospital would have additional protections
under the stop-loss limit proposal. For the purpose of this model, we
are proposing to define a rural hospital as an IPPS hospital that is
either located in a rural area in accordance with Sec. 412.64(b) or in
a rural census tract within an MSA defined at Sec. 412.103(a)(1) or
has reclassified to rural in accordance with Sec. 412.103. Such rural
hospitals would have additional protections under the stop-loss limit
proposal. Consistent with the findings in MedPAC's June 2012 Report to
the Congress, we believed rural hospitals may have a lower risk
tolerance and less infrastructure and support to achieve efficiencies
for high payment episodes, particularly if they are the only rural
hospital in an area.
Our preliminary analysis examining national spending for MS-DRGs
469 and 470 from October 1, 2013 to September 30, 2014 showed that MS-
DRGs 469 and 470 cases represent a slightly higher proportion of cases
and spending for rural hospitals than the national average (for
example, MS-DRG 470 episode spending represents 12 percent of IPPS
spending for rural hospitals and represents 9 percent of IPPS spending
nationally).\45\ Additionally, our analysis on the distribution of
national spending of MS-DRGs 469 and 470 episodes by service type (that
is inpatient, outpatient, SNF, Home Health, Physician Part B, DME),
found that on average, inpatient services account for the most spending
for an MS-DRGs 469 and 470 episode (53 percent of spending for an MS-
DRG 469 episode and 55 percent of spending for MS-DRG 470 episode). SNF
services account for 27 percent of spending for MS-DRG 469 and 18
percent of spending for MS-DRG 470. The spending distribution for all
rural IPPS hospitals also differs from the national average. For rural
hospitals, inpatient services for CJR episodes account for more
spending than the national average (56 percent for MS-DRG 469 and 57
percent for MS-DRG 470 for rural hospitals) and SNF spending is higher
than the national average (29 percent for MS-DRG 469 and 21 percent for
MS-DRG 470 for rural hospitals). It is evident that this category of
hospitals has different spending patterns than the national average.
Furthermore, hospitals in rural areas often face other unique
challenges. Rural hospitals may be the only source of healthcare
services for beneficiaries living in rural areas, and beneficiaries
have limited alternatives should rural hospitals be subject to
financial changes under this model. Additionally, because rural
hospitals may be in areas with fewer providers including fewer
physicians and PAC facilities, rural hospitals may have more limited
options in coordinating care and reducing spending while maintain
quality of care under this model. We believed that urban hospitals may
not have similar concerns as they are often in areas with many other
providers and have greater opportunity to develop efficiencies under
this model. Given that rural hospitals have different episode spending
patterns, have different challenges in coordinating care and reducing
cost than urban hospitals and serve as a primary access to care for
beneficiaries, we believed that we should have a more protective stop-
loss limit policy as described later in this section.
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\45\ Medicare FFS Parts A and B claims, CJR episodes as
proposed, between October 1, 2013 and September 30, 2014.
---------------------------------------------------------------------------
Additionally, we proposed to provide additional protections for
SCHs as defined in Sec. 412.92, Medicare Dependent Hospitals as
defined in Sec. 412. 108 and RRCs as defined in Sec. 412.96.
Hospitals paid under the IPPS can qualify for SCH status if they meet
one of the following criteria:
Located at least 35 miles from other like hospitals.
Located in a rural area, located between 25 and 35 miles
from other like hospitals, and no more than 25 percent of residents or
Medicare beneficiaries who become hospital inpatients in the hospital's
service area are admitted to other like hospitals located within a 35-
mile radius of the hospital or the hospital has fewer than 50 beds and
would meet the 25 percent criterion if not for the fact that some
beneficiaries or residents were forced to seek specialized care outside
of the service area due to the unavailability of necessary specialty
services at the hospital.
Hospital is rural and located between 15 and 25 miles from
other like hospitals but because of local topography or periods of
prolonged severe weather conditions, the other like hospitals are
inaccessible for at least 30 days in each of 2 out of 3 years.
Hospital is rural and the travel time between the hospital
and the nearest like hospital is at least 45 minutes.
If an IPPS hospital qualifies to be a SCH, the hospital can be paid
the higher of the federal payment rate paid to IPPS hospitals or a
cost-based hospital-specific rate as described in Sec. 412.78. Under
OPPS, a rural SCH can receive a 7.1 percent add on payment for most
services with certain exceptions, in accordance with Sec. 419.43(g).
These criteria to qualify for SCH status demonstrate that SCHs are
likely to be the sole hospital in an area. Furthermore, additional
payments
[[Page 73404]]
provided under Medicare FFS for SCHs, demonstrates Medicare's interest
in ensuring these hospitals are able to provide services to the
Medicare beneficiaries who may have limited access to providers in
their area. As a result, we believed that we should provide SCHs
additional protections from hospital responsibility for repayment in
this model. We note that we proposed to exclude these add-on payments
for SCHs, as described in section III.C.3.a. of the proposed rule.
MDHs are defined as a hospital that meets the following criteria:
Located in a rural area.
Has 100 beds or less.
Is not a SCH.
Sixty percent of the hospital's inpatient days or
discharges were attributable to individuals entitled to Medicare Part A
benefits during specified time periods as provided in Sec. 412.108.
MDHs also qualify for special additional payments under the IPPS
where an MDH can receive the higher of a payment under the federal
standard rate for IPPS hospitals or the payment under federal standard
rate for IPPS hospitals plus 75 percent of the difference in payments
between a cost based hospital-specific rate and the federal standard
rate as described in Sec. 412.108(c). These criteria demonstrate that
MDHs are small, rural hospitals that have a high Medicare case mix
percentage and receive additional payments under the IPPS to ensure
financial stability and preserve beneficiary access to care to these
hospitals. Thus, we believed these factors demonstrate that we should
provide additional safeguards from hospital responsibility for
repayment in order to preserve access to care. We note that we proposed
to exclude these payment enhancements for MDHs, as described in section
III.C.3.a. of the proposed rule.
RRCs are defined as IPPS hospitals with at least 275 beds that meet
the following criteria:
Fifty percent of the hospital's Medicare patients are
referred from other hospitals or from physicians who are not on the
staff of the hospital.
At least 60 percent of the hospital's Medicare patients
live more than 25 miles from the hospital.
At least 60 percent of all services the hospital furnishes
to Medicare patients are furnished to patients who live more than 25
miles from the hospital.
If a hospital does not meet the criteria described previously, a
hospital can also qualify for RRC status if a hospital meets the
following criteria:
For specified period of time, the hospital has a case-mix
that equals the lower of the median case mix index (CMI) value for all
urban hospitals nationally; or the median CMI value for urban hospitals
located in its region, excluding those hospitals receiving indirect
medical education payments.
Its number of discharges is at least--
++ 5,000 (or 3,000 for an osteopathic hospital); or
++ The median number of discharges for urban hospitals in the
census region in which it is located, set by the CMS through IPPS
rulemaking.
Additionally, a hospital must meet one of the following
criteria:
++ More than 50 percent of its active medical staff are specialists
who meet the conditions specified atSec. 412.96(c)(3).
++ At least 60 percent of all discharges are for inpatients who
reside more than 25 miles from the hospital.
++ At least 40 percent of all inpatients treated are referred from
other hospitals or from physicians who are not on the hospital's staff.
As an RRC, a hospital can qualify for several additional payments under
the IPPS. For example, an RRC is not subject to the 12 percent cap on
Medicare Disproportionate Share Hospital payments that a rural hospital
would otherwise be subject to, in accordance with Sec. 412.106(d).
Although RRCs are larger and have a higher Medicare patient mix, they
often serve as the sole provider to treat higher acuity cases, as
demonstrated by the RRC qualification criteria. As a result of these
unique characteristics of these hospitals, RRCs can receive additional
payments under Medicare FFS. Thus, it is also important to provide
additional protections for RRCs such that participation in this model
does not result in significant financial loss that may reduce access
for Medicare beneficiaries.
For these reasons, we proposed a stop-loss limit of 3 percent of
episode payments for these categories of hospitals in performance year
2 and a stop-loss limit of 5 percent of episode payments for
performance years 3 through 5. More specifically, in performance year
2, a rural hospital, SCH, RRC or MDH that is a participant hospital
would owe Medicare due to the raw NPRA no more than 3 percent of the
hospital's target price for the anchor MS-DRG multiplied by the number
of the hospital's CJR episodes with that anchor MS-DRG in the
performance year. Additionally, in performance years 3 through 5, a
rural hospital, SCH, RRC or MDH that is a participant hospital would
owe Medicare due to the raw NPRA no more than 5 percent of the
hospital's target price for the anchor MS-DRG multiplied by the number
of the hospital's CJR episodes with that anchor MS-DRG in the
performance year. We believed a different stop-loss limit policy is
warranted given the different spending patterns and the unique hospital
characteristics for these groups of hospitals as described earlier. We
believed this proposal strikes an appropriate balance between
protecting hospitals that often serve as the only access of care for
Medicare beneficiaries and having these hospitals meaningfully
participate in the model. We note that this proposal does not impact
the proposed stop-gain policy for these categories of hospitals. Rural
hospitals, SCHs, MDHs and RRCs would still have the opportunity to
participate in full gains at 20 percent similar to other hospitals.
Hospitals can apply for SCH, MDH and RRC status through their MACs
and Regional Office at any time. MACs maintain the list of SCHs, MDHs,
and RRCs in the CMS Provider Specific File, which they update on a
quarterly basis. The special hospital designations recorded in the
Provider Specific File are used in Medicare claims pricing to ensure
that these hospitals are paid according to their special hospital
designation. Additionally, CMS can identify which hospitals are
considered rural for the purpose of this policy, using the Provider
Specific File to identify physical geographic location of a hospital
and the MACs to identify whether an urban hospital has reclassified to
rural under Sec. 412.103 or located in a rural census tract of an MSA
defined under Sec. 412.103(a)(1). Thus, we proposed to identify rural
hospitals, MDHs, SCHs and RRCs at the time of reconciliation using the
Provider Specific File updated in December of the end of the
performance year and information from the MACs, and those hospitals
would be subject to the 3 percent stop-loss limit policy for that
performance year 2, and 5 percent stop-loss limit policy in performance
years 3 through 5. For example, to identify the hospitals that would
receive a 3 percent stop-loss limit for performance year 2, we would
use the Provider Specific File updated in December 2017. We note that
the special Medicare payment designation of MDH status has been
extended through FY 2017 by legislation under the MACRA. As a result,
the proposed additional protections for hospital responsibility for
repayment for MDHs would only apply to the extent that MDH status
exists under Medicare.
[[Page 73405]]
In other words, should MDH expire on or after September 30, 2017, we
would not identify hospitals as MDHs to receive the 5-percent stop-loss
limit policy for performance year 3. Though MDH status is set to expire
after the third quarter of 2017, we would still identify MDHs to
receive the 3-percent stop loss limit policy for all of performance
year 2.
We note that we also considered excluding rural hospitals, SCHs,
MDHs and RRCs from the CJR model altogether due to our concerns of
placing significant responsibility for actual episode payment above the
target price on these hospitals. Additionally, we were also concerned
that from an evaluation perspective, we would not have sufficient
sample size of CJR episodes from these categories of hospitals to have
significant results of how these groups of hospitals perform under this
model. We weighed our reasons for excluding these hospitals with the
potential qualitative information we would gain from payment innovation
tests on rural hospitals in this model. We concluded that because the
CJR model strives to test episode payment for a broad variety of
hospitals, it would be preferable to include these hospitals in the CJR
model and provide additional protections from a large repayment
responsibility. We welcome public comment on our proposed stop-loss
limit for rural hospitals, SCHs, MDHs and RRCs and on our alternative
consideration to exclude these hospitals entirely from the CJR model.
Comment: Several commenters commented on our proposal to provide a
more protective stop-loss for rural hospitals, SCHs, MDHs and RRCs. and
support of the more protective stop-loss for rural hospitals, SCHs,
MDHs and RRCs in order to preserve access to care. Some commenters
suggested even more protective stop-loss for these categories of
hospitals such as delaying downside risk until Performance Year 3, not
providing for downside risk to these hospitals or reducing downside to
1 percent in Performance Year 3, 3 percent in Performance Year Four,
and 5 percent in Performance Year Five. We also received comments that
we should exclude all-together rural hospitals, SCHs, MDH and RRCs,
because as we had acknowledged in the proposed rule, these hospitals
may not be able to take on financial risk under this model.
Response: We are interested in including these categories of
hospitals in our model to see the impact of a bundled payment model in
providers that may not otherwise participate in a voluntary program and
to better understand the generalizability of this model. However, we
recognize the concerns that these categories of hospitals may be less
equipped to take on risk and may be the only access of care in their
areas. Thus, we proposed to provide for a more limited stop-loss for
these categories of hospitals at 3 percent for Performance Year 2 and 5
percent for Performance Years 3 through 5. We had proposed that rural
hospitals, MDHs, SCHs and RRCs would still have the opportunity to
participate in full gains at 20 percent similar to other hospitals in
the model. While we would provide for more limited downside risk for
these categories of hospitals for the reasons previously stated, we
believe rural hospitals, MDHs, SCHs and RRCs should have the
opportunity to receive the gains to the same extent as the other
hospitals in the model. We note that we are finalizing to provide for a
more gradual stop-loss limit for all other hospitals in the model where
the stop-loss limit is 5 percent in Performance Year 2, 10 percent in
Performance Year 3 and 20 percent in Performance Years 4-5.
Additionally, we are finalizing that the stop-gain limit would be
proportional to the stop-loss limit such that in Performance Year 1-2,
the stop-gain limit would be 5 percent; in Performance Year 3, the
stop-gain limit would be 10 percent; and in Performance Years 4-5, the
stop gain limit would be 20 percent We believe the our rationale
described earlier in this section to provide for a more gradual
transition to stop-gain limits over the course of the model should
similarly apply to rural hospitals, SCHs, MDHs and RRCs, particularly
in light of our concerns that these categories of hospitals have lower
risk tolerance and less infrastructure and support to achieve
efficiencies for high payment episodes. We want to ensure that any
performance gains by these categories of hospitals are not based on
random variation but rather due to implementing changes to achieve
efficiencies for high payment episodes. Thus, we are finalizing a more
gradual stop-gain limit where the stop-gain limit is 5 percent in
Performance Year 2, 10 percent in Performance Year 3 and 20 percent in
Performance Years 4-5 for all hospitals in the model, including rural
hospitals, SCHs, MDHs and RRCs.
Comment: Some commenters recommended that we apply the protective
stop-loss limits to other categories of providers with similar low-risk
tolerance as rural hospitals, SCHs, MDHs and RRCs. A commenter
suggested that we apply the protective stop-loss limit to hospitals in
bankruptcy, or undergoing major restructuring under State oversight
like safety net hospitals under the Medicaid DSRIP waiver in New York.
Another commenter suggested that we provide a protective stop-loss
limit for urban referral centers. Another commenter requested that we
provide risk corridors for providers that partner with participant
hospitals such as IRFs and SNFs.
Response: As described in the proposed rule and finalized in this
final rule, we are providing additional protections on repayment
through more limited stop-loss to certain categories of hospitals that
are financially responsible for the 90-day episode spending in this
model. Because the provider at risk in this model is the hospital, we
believe it is appropriate to provide for limits on financial gain and
repayment. We do not believe it would be appropriate to provide risk
corridors for other types of providers that may be involved in the
continuum of care in a 90 day episode for LEJR such as PAC providers
since we will not be making a reconciliation payment or recoupment to
those providers. Additionally, we have provided more protective stop-
loss limits for certain categories of hospitals that have been
recognized by Medicare through additional Medicare FFS payment
incentives as often being the only access of care for Medicare
beneficiaries and thus it is in our interest to both be able to keep
them in the model but recognizing their lower risk tolerance. We do not
believe it would be appropriate to provide a limited stop-loss to
safety net hospitals under the Medicaid DSRIP waiver in New York. The
CJR model addresses a defined population (FFS Medicare beneficiaries
undergoing LEJR procedures) for which there are potentially avoidable
expenditures (arising from less than optimal care coordination). We
believe the DSRIP waiver in New York, which is a waiver provided under
the Medicaid program, does not directly impact Medicare FFS payments or
a hospital's ability to be in the CJR model at this time. If healthcare
transformation initiatives led by States raise concerns about a
participant hospital's ability to be in the model, we would address the
issue in future rulemaking as necessary. Additionally, we do not
believe it would be appropriate to carve out additional protections for
other types of hospitals at this time because we want to evaluate, in
part, the model's generalizability, which becomes challenging if we add
more exceptions. We will continue to monitor the effects
[[Page 73406]]
of this model on different categories of hospitals.
Comment: We received a comment regarding our proposal to provide
MDHs with the more limited stop-loss until the MDH payment status
expires under statute in 2017. The commenter requested that we continue
to provide the more limited-stop loss for hospitals currently
classified as MDHs in the final rule, if MDH status expires. The
commenter stated that while the higher payments afforded to MDHs are
set to expire in 2017, the concerns on their ability to bear risk and
infrastructure capacity issues will remain.
Response: We had proposed that hospitals that maintain SCH, MDH or
RRC status during the performance year would be subject to the
protective stop-loss limit. We understand the concern that with the
expiration of MDH status under legislation in September 30, 2017,
hospitals will lose their MDH designation and additional Medicare FFS
payments provided under the MDH designation. Additionally, under the
expiration of MDH status, hospitals would no longer qualify for the
protective stop-loss limit tied to that status under this model. Should
the MDH payment status expire, some MDHs may apply with their MACs to
determine if they qualify as an RRC or SCH and would be able to
maintain the protective stop-loss limit in this model. However, we
believe it would be inconsistent to apply the additional benefit of
protective stop-loss limits to former MDHs when by law, those hospitals
are not permitted to retain the other Medicare payment benefits
provided to MDHs. Additionally we proposed and are finalizing to
identify MDHs at the time of reconciliation in the Provider Specific
File updated in December of the end of the performance year and
information from the MACs and the MDHs identified in that file would be
subject to the protective stop-limits. Should the MDH payment status
expire, the Provider Specific File would no longer be updated by MACs
to identify hospitals that would have met the expired MDH criteria as
it would no longer be a Medicare payment policy. As a result, it would
be operationally challenging to appropriately identify the hospitals
that would have met the criteria to receive MDH status and to apply
protective stop-loss to those hospitals. In general, we recognize that
hospitals may change their status on an annual basis during the course
of this model based on whether or not a hospital can continue to meet
the criteria for the special payment designation, and should a hospital
no longer meet the rural, SCH, MDH or RRC designation, it would no
longer receive the protective stop-loss limit.
Comment: Some comments requested that urban hospitals that
reclassify to rural hospitals should be considered rural and be subject
to the more protective stop-loss limits. The commenters stated that we
generally consider hospitals that undergo urban-to-rural
reclassification pursuant to Sec. 412.103 as rural for all Medicare
payment purposes and we should consistently treat them as rural under
this model and provide this category of hospitals with the more
protective stop-loss limit.
Response: We agree with the commenters that urban hospitals that
reclassify to rural under Sec. 412.103 should be considered a rural
hospital for the purposes of this model and receive the more limited
stop-loss. We note that we proposed to define rural hospitals as an
IPPS hospital that is either located in a rural area in accordance with
Sec. 412.64(b) or in a rural census tract within an MSA defined at
Sec. 412.103(a)(1) or has reclassified to rural in accordance with
Sec. 412.103 and to provide a more limited stop-loss for such rural
hospitals. However, we note that rural hospitals were inadvertently
excluded from the proposed regulation language at Sec.
510.305(e)(1)(v)(E) defining which categories of hospitals would be
subject to a lower stop-loss limit. Thus, we are finalizing our
proposal to provide a more protective stop-loss limit to rural
hospitals as previously defined, as well as MDHs, SCHs and RRC, and
will revise the regulatory language at Sec. 510.305(e)(1)(v)(E) to
reflect our final policy.
Comment: Some commenters were concerned that hospitals with low
volume of LEJR episodes have a lower risk tolerance, similar to rural
hospitals, SCHs, MDHs and RRCs, may be subject to greater volatility in
episode payments and would not have adequate volume to spread the risk
of high cost episodes. A commenter's analysis showed that volume is an
important determinant of per-episode spending where the average loss
was higher for hospitals with fewer episodes. Commenters raised
concerns that hospitals with fewer episodes per year may have fewer
resources in terms of capital to invest in data infrastructure or care
redesign. Commenters suggested that we exclude low volume hospitals
from the model, remove downside risk for low volume hospitals or
provide a lower stop-loss limit for these hospitals. Commenters
provided varying definitions for what qualifies as a low volume
hospital ranging from 35 LEJR episodes per year to 100 LEJR episodes
per year.
Response: We believe that we can address these concerns for low
volume hospitals by the other design changes that we are finalizing in
this final rule to mitigate risk as participant hospitals implement the
necessary changes to improve efficiencies for LEJR episodes and quality
of care. These changes made in this final rule would alleviate concerns
for low volume hospitals such that special policies for low volume
hospitals are not necessary. First, we believe that the policy
finalized in this rule in response to public comments to allow for a
more gradual transition to the stop-loss limit of 20 percent beginning
in Performance Year 4 will alleviate the concerns of hospitals bearing
financial risk in a mandatory model. Participant hospitals, including
low volume hospitals, will have additional time to make changes in
response to the model and gradually take on more upside and downside
risk. Second, we believe that our policy, finalized in this rule, to
risk stratify MS-DRG 469 and MS-DRG 470 for hip fractures will reduce
the variability in the episode costs. We acknowledge that hip fractures
can increase the 90 day episode spend so by risk stratifying for hip
fracture, we are creating an episode target price for MS-DRG 469 and
MS-DRG 470 with and without hip fractures. For a hospital with a lower
volume of cases, the risk stratification for hip fractures will
mitigate variability in episode costs if a hospital that has fewer
episodes treats higher proportion of hip fracture cases. We disagree
with commenters that we should exclude low volume hospitals from the
model because we are interested in evaluating the experience of small
providers and the inclusion of these hospitals in the model is part of
our overall desire to see the impact of a bundled payment model in
providers who would not otherwise participate in a voluntary program.
We would be concerned that setting a threshold for low volume could
result in hospital gaming in order to be below that threshold and be
excluded from the model.
We are finalizing our proposal to provide for a lower stop-loss
limit for rural hospitals, RRCs, MDHs and SCHs and codifying this
policy at Sec. 510.305(e)(1)(v)(E). Additionally, we are finalizing to
provide a stop-gain limit that correspond to the finalized stop-loss
limits for other hospitals in the model such that the stop-gain limit
is 5 percent in Performance Years 1 and 2, 10 percent in Performance
Year 3 and 20 percent in Performance Years 4 and 5 that would apply to
all hospitals in
[[Page 73407]]
the model including rural hospitals, MDHs, SCHs and RRCs. We are
codifying the establishment of stop-gain limits in this model at Sec.
510.305(e)(1)(v)(D).
d. Hospital Responsibility for Increased Post-Episode Payments
We noted that while the proposed CJR episode would extend 90-days
post-discharge from the anchor hospitalization, some hospitals may have
an incentive to withhold or delay medically necessary care until after
an episode ends to reduce their actual episode payments. We did not
believe this would be likely, especially given the relatively long
episode duration. However, in order to identify and address such
inappropriate shifting of care, we proposed to calculate for each
performance year the total Medicare Parts A and B expenditures in the
30-day period following completion of each episode for all services
covered under Medicare Parts A and B, regardless of whether the
services are included in the proposed episode definition (section
III.B. of the proposed rule), as is consistent with BPCI Model 2.
Because we base the proposed episode definition on exclusions,
identified by MS-DRGs for readmissions and ICD-9-CM diagnosis codes for
Part B services as discussed in section III.B. of the proposed rule,
and Medicare beneficiaries may typically receive a wide variety of
related (and unrelated) services during the CJR episode that extends 90
days following discharge from the anchor hospitalization, there is some
potential for hospitals to inappropriately withhold or delay a variety
of types of services until the episode concludes, without attending
carefully to the episode definition, especially for Part B services
where diagnosis coding on claims may be less reliable. This
inappropriate shifting could include both those services that are
related to the episode (for which the hospital would bear financial
responsibility as they would be included in the actual episode spending
calculation) and those that are unrelated (which would not be included
in the actual episode spending calculation), because a hospital engaged
in shifting of medically necessary services outside the episode for
potential financial reward may be unlikely to clearly distinguish
whether the services were related to the episode or not in the
hospital's decisions.
This calculation would include prorated payments for services that
extend beyond the episode as discussed in section III.C.3.b. of the
proposed rule. Specifically, we would identify whether the average 30-
day post-episode spending for a participant hospital in any given
performance year is greater than three standard deviations above the
regional average 30-day post-episode spending, based on the 30-day
post-episode spending for episodes attributed to all CJR regional
hospitals in the same region as the participant hospital. We proposed
that beginning in performance year 2, if the hospital's average post-
episode spending exceeds this threshold, the participant hospital would
repay Medicare for the amount that exceeds such threshold, subject to
the stop-loss limits proposed elsewhere in the proposed rule. We sought
comment on this proposal to make participant hospitals responsible for
making repayments to Medicare based on high spending in the 30 days
after the end of the episode and for our proposed methodology to
calculate the threshold for high post-episode spend.
The following is a summary of the comments received and our
responses.
Comment: Some commenters opposed the proposal entirely, finding
that it represented excessive monitoring of LEJR episodes. Other
commenters supported monitoring 30 day post-episode spending, but
requested certain modifications to the proposal. Other commenters
supported our rationale to monitor a hospital's 30 day post-episode
spending to identify potential inappropriate shifting of care, but they
opposed our proposal to require participant hospitals to repay Medicare
for the amount of post-episode spend that exceeds the threshold.
Commenters also requested that the categories of services excluded from
the episode definition should also be excluded when determining the 30
day post-episode spending because they found it to be inappropriate to
hold a hospital responsible for unrelated services, particularly those
related to high-cost conditions like the onset of therapy for cancer or
the sudden inclusion of clotting factors for hemophilia. Lastly, we
received comments in support of our proposal, agreeing that this
approach could help identify participant hospitals that withhold or
delay medically necessary care until after an episode ends in order to
reduce their actual episode spending. A commenter suggested that rather
than requiring a participant hospital to repay Medicare up to the stop-
loss limit if they are found to have excessive 30 day post-episode
spending, we implement an additional financial penalty for participant
hospitals that are found to inappropriately delay care. The commenter
suggested that the penalty should not be capped at the proposed stop-
loss limit arguing that a hospital that has already substantially
exceeded target prices and had to repay CMS under the stop-loss limit
will have little incentive to refrain from stinting on care unless a
separate penalty exists.
Response: We continue to believe that monitoring for 30 day post-
episode spending is an appropriate tool to identify inappropriate
shifts in care based on our experience with BPCI. We disagree with
commenters that we should exclude the same set of services that are
excluded from the episode definition in the 30 day post-episode spend
because of concern that this model could lead to shifting of both
related and unrelated (those not included in the episode definition)
services due to some providers encouraging delays of services for
beneficiaries that are not immediately necessary, without
discriminating between those services that are in and out of the
episode definition. Additionally, our experience with BPCI that
similarly includes all costs when monitoring for 30 day post-episode
spending has helped to inform our policy for the CJR model. Based on
our experience with BPCI, we have not found that by including all costs
to measure 30 day post-episode spending, that we are inappropriately
penalizing hospitals. While we understand commenters' concerns that
hospitals could be held responsible for high costs conditions that are
not included in the episode definition, our policy aims to strike a
balance to hold participating hospitals accountable for inappropriate
shifts or delays in care and to provide hospitals with safeguards on
financial risk for 30 day post-episode spend. To that end, we are
setting a high threshold where only hospitals that have a 30 day post-
episode spending average that is three standard deviations above the
regional average would be subject to repay that difference to Medicare,
and in the case where the hospital's average 30 day post-episode
spending exceeds regional average 30 day post-episode spending, the
participant hospital would repay Medicare for the amount that exceeds
such threshold, subject to the stop loss limits. Additionally, we
disagree with the commenter that the penalty for high post-episode
spending should not be capped at the proposed stop-loss limit because
we still want to provide safeguards for high cost spending for
participant hospitals. We note that, as described earlier, we are
finalizing to reduce the stop-loss limits for Performance Year 2 and 3
to provide participating hospitals a more gradual transition to assume
downside risk
[[Page 73408]]
under this model so that repayment under the 30 day post-episode
spending policy will be even more limited. We note that participant
hospitals that are eligible for reconciliation payments in a
performance year that also have an average 30 day post-episode spend
that is higher than three standard deviations from the regional average
30 day post-episode spend would have their reconciliation payments
reduced by the amount by which spending exceeds three standard
deviations.
Final Decision: After consideration of the public comments we
received, we are finalizing the proposal as proposed and codifying this
policy at Sec. 510.305(e)(1)(v)(A). We note that the term ``CJR
eligible hospitals'' is being renamed to ``CJR regional hospitals'' as
discussed in response to comments in section III.C.4.b.(4) of this
final rule. CJR regional hospitals are all IPPS hospitals located in a
region, including IPPS hospitals that are participants in BPCI Model 1
or in the risk bearing period of Models 2 or 4 for LEJR episodes.
Accordingly, 30-day post-episode spending for episodes attributed to
all IPPS hospitals including BPCI hospitals in the same region as the
participant hospital would be included to determine the value that is
three standard deviations greater than the regional average 30 day
post-episode spend and to determine if a participant hospital has
excessive average 30 day post-episode spending.
9. Appeal Procedures
Under the CJR model, we proposed that we would determine target
prices for episodes of care using the methodology described in section
III.C. of the proposed rule. We proposed to institute a reconciliation
payment process as described in section III.C.6. of the proposed rule,
and we proposed to retrospectively calculate a participant hospital's
actual episode performance relative to its target price after the
completion of each performance year. The difference between the actual
episode spending of each CJR episode and the target price of that
episode (calculated as target price subtracted by CJR actual episode
payment) would be aggregated for all episodes initiated at a
participant hospital during each performance year. This calculation for
a participant hospital would be adjusted for post-episode payment
increases and stop gain and stop loss limits, as described in section
III.C.6.a. of the proposed rule. We proposed to use quality measure
percentiles to determine hospital eligibility to receive the
reconciliation payment and use the successful reporting of the
voluntary PRO THA/TKA data to adjust the reconciliation payment, as
described in section III.C.5. of the proposed rule. The NPRA would be
reflected in a report sent to the participant hospital called the CJR
Reconciliation Report.
We also proposed to institute appeals processes for the CJR model
that would allow participant hospitals to appeal matters related to
reconciliation and payment (that are previously discussed in this
section), as well as non-payment related issues, such as enforcement
matters detailed in section III.C.12. of this final rule.
a. Payment Processes
The proposed processes with regard to reconciliation, payment, use
of quality measures to determine payment, and stop-loss and stop-gain
policies are set forth in detail in sections III.C.5. through 8. of
this final rule. In this section, we proposed an appeals process that
will apply to the matters addressed in sections III.C.5 through 8. of
this final rule, as well as matters not related to payment or
reconciliation. These appeals processes will apply to the following
payment and reconciliation processes:
Starting with the CJR Reconciliation Report for
performance year 1, if the CJR Reconciliation Report indicates the
reconciliation amount is positive, CMS would issue a payment, in a form
and manner specified by CMS, for that amount to the awardee within 30
calendar days from the issue date of the CJR Reconciliation Report,
unless the participant hospital selects to pursue the calculation error
and reconsideration review processes, in which case payment will be
delayed as detailed later in this section.
For performance year 1, if the CJR reconciliation report
indicates a repayment amount, the participant hospital would not be
required to make payment for that amount to CMS, as we have finalized
our proposal not to hold hospitals financially responsible for negative
NPRAs for the first performance year. In addition, if it is determined
that a CJR hospital has a positive NPRA for performance year 1, and the
subsequent calculation for performance year 1 the following year, as
described in section III.C.6. of the proposed rule, determines that in
aggregate the performance year 1 NPRA and the subsequent calculation
amount for performance year 1 is a negative value (adding together the
NPRA amount from the reconciliation for performance year 1 as well as
the amount determined in the subsequent calculation, which would be
detailed on the CJR reconciliation report for performance year 2), the
hospital would only be financially responsible for a repayment amount
that would net the performance year 1 NPRA and subsequent calculation
for performance year 1 to zero. This would be true for performance year
1 only, given our proposal to begin phasing in financial responsibility
in year 2 of the model as discussed in section III.C.2.c. of the
proposed rule. For performance years 2 through 5 of the model, for
example, if there was a positive NPRA for performance year 1 for a
given hospital of $3,000, and the subsequent calculation performed in
Q2 2018 to account for claims run-out and overlaps determined a
repayment amount of $3,500 for claims incurred and overlap during
performance year 1, $3,000 would be applied to the CJR reconciliation
report for performance year 2. If the positive NPRA for performance
year 2 were $5,000, the repayment amount of $3,000 would be netted
against the $5,000, and the reconciliation payment for performance year
2 would be $2,000. Given that downside risk has been waived for
performance year 1, the remaining $500 would not be added to the CJR
reconciliation report for performance year 2. However, beginning with
the reconciliation process for performance year 3, any repayment
amounts generated through the subsequent calculation process detailed
in section III.C.6.b. of this final rule would be netted against any
repayment or reconciliation amount on the respective CJR reconciliation
reports for performance years 2, 3, 4, and 5. Starting with the
reconciliation for performance year 2, if the CJR Reconciliation Report
indicates the NPRA is negative, the participant hospital would make
payment for the absolute value of that amount to CMS within 30-calendar
days from the issue date of the CJR Reconciliation Report, in a form
and manner specified by CMS. For example, if there was a positive NPRA
for performance year 3 for a given hospital of $1,000, and the
subsequent calculation performed in Q2 2019 to account for claims run-
out and overlaps determined a repayment amount of $2,500 for claims
incurred and overlap during performance year 3, the full $2,500 would
be applied to the CJR reconciliation report for performance year 4,
subject to the stop loss/stop gain limits detailed in section III.C.8.
of this final rule. Thus, if the positive NPRA for performance year 4
were $2,000, the repayment amount of $2,500 would be netted against the
$2,000, and a repayment amount for performance year
[[Page 73409]]
4 would be $500. Where the participant hospital does not issue payment
within 30-calendar days, we will issue a demand letter requiring
payment be made immediately.
The reconciliation or repayment amount may include
adjustments, arising from matters from the previous performance year,
as necessary to account for subsequent calculations performed for
performance years that were specified in earlier CJR Reconciliation
Reports, as discussed in section III.C.6. of the proposed rule. For
example, we would potentially make determinations of additional monies
owed by Medicare to participant hospitals or vice versa in subsequent
periods based on the availability of updated Medicare administrative
data. These subsequent calculations would be contained in the
succeeding reconciliation report. For example, the subsequent
calculations applicable to performance year 1 would be contained in the
reconciliation report for performance year 2.
If the participant hospital fails to pay CMS the amount
owed by the date indicated in the demand letter, CMS will recoup owed
monies from participant hospital's present and future Medicare payments
to collect all monies due to CMS. While we proposed that a participant
hospital may enter into financial arrangements with CJR collaborators
that allow for some risk-sharing, as discussed in section III.C. of the
proposed rule, the participant hospital would be solely liable for the
repayment of the negative repayment amount to CMS. Where the
participant hospital fails to repay CMS in full for all monies owed,
CMS would invoke all legal means to collect the debt, including
referral of the remaining debt to the United States Department of the
Treasury, pursuant to 31 U.S.C. 3711(g).
b. Calculation Error
We proposed the following calculation error process for participant
hospitals to contest matters related to payment or reconciliation, of
which the following is a non-exhaustive list: The calculation of the
participant hospital's reconciliation amount or repayment amount as
reflected on a CJR reconciliation report; the calculation of NPRA; the
calculation of the percentiles of quality measure performance to
determine eligibility to receive a reconciliation payment; and the
successful reporting of the voluntary PRO THA/TKA data to adjust the
reconciliation payment. Participant hospitals would review their CJR
reconciliation report and be required to provide written notice of any
error, in a notice of calculation error that must be submitted in a
form and manner specified by CMS. Unless the participant provides such
notice, the reconciliation report would be deemed final within 30
calendar days after it is issued, and CMS would proceed with payment or
repayment. If CMS receives a timely notice of an error in the
calculation, CMS would respond in writing within 30 calendar days to
either confirm or refute the calculation error, although CMS would
reserve the right to an extension upon written notice to the
participant hospital. We proposed that if a participant hospital does
not submit timely notice of calculation error in accordance with the
timelines and processes specified by CMS, the participant hospital
would be precluded from later contesting any of the following matters
contained in the CJR reconciliation report for that performance year:
Any matter involving the calculation of the participant hospital's
reconciliation amount or repayment amount as reflected on a CJR
reconciliation report; any matter involving the calculation of NPRA;
the calculation of the percentiles of quality measure performance to
determine eligibility to receive a reconciliation payment; and the
successful reporting of the voluntary PRO THA/TKA data to adjust the
reconciliation payment.
c. Dispute Resolution
(1) Limitations on Review
In accordance with section 1115A(d) of the Act, there is no
administrative or judicial review under sections 1869 or 1878 of the
Act or otherwise for the following:
The selection of models for testing or expansion under
section 1115A of the Act.
The selection of organizations, sites or participants to
test those models selected.
The elements, parameters, scope, and duration of such
models for testing or dissemination.
Determinations regarding budget neutrality under
subsection 1115A(b)(3) of the Act.
The termination or modification of the design and
implementation of a model under subsection 1115A(b)(3)(B) of the Act.
Decisions about expansion of the duration and scope of a
model under subsection 1115A(c) of the Act, including the determination
that a model is not expected to meet criteria described in paragraph
(1) or (2) of such subsection.
(2) Matters Subject To Dispute Resolution
We proposed that a participant hospital may appeal an initial
determination that is not precluded from administrative or judicial
review by requesting reconsideration review by a CMS official. The
request for review must be submitted for receipt by CMS within 10 days
of the notice of the initial determination, in a form and manner
specified by CMS.
(3) Dispute Resolution Process
We proposed the following dispute resolution process. First, we
proposed that only a participant hospital may utilize the dispute
resolution process. Second, in order to access the dispute resolution
process a participant hospital must have timely submitted a notice of
calculation error, as previously discussed, for any matters related to
payment. We proposed these matters would include any amount or
calculation indicated on a CJR reconciliation report, including
calculations not specifically reflected on a CJR reconciliation report
but which generated figures or amounts reflected on a CJR
reconciliation report. The following is a non-exhaustive list of the
matters we proposed would need to be first adjudicated by the
calculation error process as previously detailed: Calculations of
reconciliation or repayment amounts; calculations of NPRA; and any
calculations or percentile distribution involving quality measures that
we proposed could affect reconciliation or repayment amounts. If a
participant hospital wants to engage in the dispute resolution process
with regard to one of these matters, we proposed it would first need to
submit a notice of calculation error. Where the participant hospital
does not timely submit a notice of calculation error, we proposed the
dispute resolution process would not be available to the participant
hospital with regard to those matters for the reconciliation report for
that performance year.
If the participant hospital did timely submit a notice of
calculation error and the participant hospital is dissatisfied with
CMS's response to the participant hospital's notice of calculation
error, the hospital would be permitted to request reconsideration
review by a CMS reconsideration official. The reconsideration review
request would be submitted in a form and manner and to an individual or
office specified by CMS. The reconsideration review request would
provide a detailed explanation of the basis for the dispute and include
supporting documentation
[[Page 73410]]
for the participant hospital's assertion that CMS or its
representatives did not accurately calculate the NPRA or post-episode
spending amount in accordance with CJR rules. The following is a non-
exhaustive list of representative payment matters:
Calculations of NPRA, post-episode spending amount, target
prices or any items listed on a reconciliation report.
The application of quality measures to a reconciliation
payment, including the calculation of the percentiles thresholds of
quality measure performance to determine eligibility to receive
reconciliation payments, or the successful reporting of the voluntary
PRO THA/TKA data to adjust the reconciliation payment.
Any contestation based on the grounds that CMS or its
representative made an error in calculating or recording such amounts.
Where the matter is unrelated to payment, such as termination from
the model, the participant hospital need not submit a notice of
calculation error. We proposed to require the participant hospital to
timely submit a request for reconsideration review, in a form and
manner to be determined by CMS. Where such request is timely received,
we proposed CMS would process the request as discussed later in this
section.
We proposed that the reconsideration review would be an on-the-
record review (a review of briefs and evidence only). The CMS
reconsideration official would make reasonable efforts to notify the
hospital in writing within 15 calendar days of receiving the
participant hospital's reconsideration review request of the date and
time of the review, the issues in dispute, the review procedures, and
the procedures (including format and deadlines) for submission of
evidence (the ``Scheduling Notice''). The CMS reconsideration official
would make reasonable efforts to schedule the review to occur no later
than 30 calendar days after the date of the Scheduling Notice. The
provisions at Sec. 425.804(b), (c), and (e) will apply to reviews
conducted pursuant to the reconsideration review process for CJR. The
CMS reconsideration official would make reasonable efforts to issue a
written determination within 30 days of the review. The determination
would be final and binding.
We solicited comment on our proposals related to appeals rights
under this model. The two-step appeal process for payment matters--(1)
Notice of calculation error, and (2) reconsideration review--is used
broadly in other CMS models. We sought comment on whether we should
develop an alternative appeal process. We are also interested in
whether there should be appeal rights for reductions or eliminations of
NPRA as a result of enforcement actions, as discussed in section
III.C.12. of the proposed rule, and if so, whether the process for such
appeals should differ from the processes proposed here.
The following is a summary of the comments received and our
responses.
Comment: The comments we received on the calculation error process
varied widely. Multiple commenters were supportive of the process,
including commenters that have experience in BPCI, in which an
identical calculation error process is used. A majority of the comments
recommended that CMS extend the timeframe for appeals under the
calculation error process. Commenters indicated that they appreciated
CMS providing details of an appeal procedure, but many suggested that
the 30-day timeframe for submission of a notice of calculation error is
too short. Some commenters offered proposals for longer periods;
specifically, we received separate comments indicating that 45 days, 60
days, or 180 days would be acceptable timeframes. With regard to the
proposal to allow for 180 days, multiple commenters noted that this
timeframe is similar to the timeframe afforded hospitals to appeal
adjustments in the Medicare Cost Report. Multiple commenters also noted
that a longer timeframe for notices of calculation error may benefit
participant hospitals in providing additional time to identify and
understand calculation errors.
Response: We appreciate these comments and are sympathetic to the
requests from commenters for more time to review reconciliation reports
and submit notices of calculation error. We agree with commenters that
providing additional time may benefit some participant hospitals in
identifying and understanding calculation errors. We are committed to
paying participant hospitals accurately and correctly and believe that
the calculation error process serves an important function in achieving
that goal.
CMS uses the following processes for appeals that we are finalizing
in section III.C.9. of this final rule. The procedures for processing
and issuing reconciliation payments and repayments require that we
submit the payment files for participant hospitals to the payment
systems in batches. CMS uses these processes for several reasons. It is
administratively more efficient to continue to use MACs to issue
payments to all providers and suppliers that furnish services to
beneficiaries during a CJR episode, so as not to disrupt the timing of
FFS payments that providers and suppliers normally receive. For
reconciliation payments and repayments, CMS has developed a process for
processing these payments, which is used for other CMS models. This
current process is the result of a substantial number of infrastructure
changes to payment and recoupment procedures that were made over a
period of several years. As a result, we believe it is appropriate to
utilize those processes for the CJR model, given that the challenges
associated with establishing these processes, as well as the fact that
they were created for other CMS models.
The effect of these processes is that the batches are sent at
specified intervals. The first batch is sent after the calculation
error timeframe closes. The second batch is sent after CMS has
responded to the notices of calculation error of participant hospitals
and those hospitals choose to not proceed with the dispute resolution
process detailed in section III.C.9.b.(3) of this final rule. The final
batch is sent after CMS has adjudicated all of the reconsideration
reviews for those participant hospitals that selected to utilize the
dispute resolution process.
Given these processes, any extension in the timeframe allowed for
submission of notices of calculation error delays payment not only to
participant hospitals that choose to utilize the calculation error and
dispute resolution processes, but even those participant hospitals that
choose not to engage in these processes. As such, we believe the need
for extending the deadline for submission of notices of calculation
error should be balanced with CMS' goal to issue reconciliation
payments and repayments promptly, as an extension for these submissions
would delay the processing of reconciliation payments for all
participant hospitals for a significant period of time. However, we
acknowledge the commenters' concerns and the need for participant
hospitals to have adequate time to analyze and prepare notices of
calculation error.
Therefore, we believe that a longer timeframe for submission of the
calculation error form is appropriate for the CJR model, given that CMS
is reconciling on an annual basis, as opposed to quarterly for the BPCI
initiative. Given that participant hospitals in CJR are likely have a
larger subset of data to review on their annual reconciliation reports
than their BPCI counterparts who receive quarterly reconciliation
reports, we believe it is
[[Page 73411]]
prudent for CMS to allow additional time for participant hospitals to
review their reconciliation reports for calculation errors. We agree
with the commenters who suggested that 45 days would allow sufficient
time for participant hospitals to review reconciliation reports, and if
they choose, submit notices of calculation error. We believe that 45
days is the appropriate timeframe to allow for this process, as it
responds to the requests for more time than our proposal of 30 days,
but does not seriously delay payment of reconciliation payments, in the
way in which a submission timeframe of 180 days would do. We considered
the recommendations for 60 days, but we rejected these recommendations
because we note that the calculation error form represents the first
step in a two-step appeals process. Where a participant hospital
submits a calculation form and is dissatisfied with CMS' response, the
dispute resolution option is available to the participant hospital via
a reconsideration review request. Upon receipt of a reconsideration
review request, the date of such a review would be scheduled by CMS
approximately 130 days from the issue date of the reconciliation
report. Thus, we believe that the option for reconsideration review, at
a much later date, provides participant hospitals with adequate
additional time to analyze the date on reconciliation reports, that a
60-day submission deadline for the calculation error form is
unnecessary. Finally, we believe that extending this period to 45 days
appropriately balances the goal of CMS to process reconciliation
payments on a timely basis with the needs of participant hospitals to
have adequate time to review their reconciliation reports and submit
notices of calculation error.
Final Decision: After consideration of the public comments we
received, we are finalizing the proposal with one modification to allow
participant hospitals 45 days to submit a calculation error form. We
are finalizing our proposal to process and issue reconciliation
payments and collect repayments as described in section III.C.6. of
this final rule, and to allow for an optional appeals process, as
previously described in this section, in which participant hospitals
may submit a calculation error form, as well as have an opportunity to
engage in dispute resolution.
With regard to the calculation error process, we are finalizing our
proposal with one modification. Participant hospitals may submit a
calculation error form to contest matters related to payment or
reconciliation, of which the following is a non-exhaustive list: The
calculation of the participant hospital's reconciliation amount or
repayment amount as reflected on a CJR reconciliation report; the
calculation of NPRA; the calculation of the percentiles of quality
measure performance to determine eligibility to receive a
reconciliation payment; and the successful reporting of the voluntary
PRO THA/TKA data to adjust the reconciliation payment. Upon receipt of
its CJR reconciliation report, the participant hospital may choose to
submit a calculation error form. The form must be submitted in a form
and manner specified by CMS. Unless the participant provides such
notice, the reconciliation report will be deemed final within 45
calendar days after it is issued, and CMS will proceed with payment or
repayment. If CMS receives a timely notice of an error in the
calculation, CMS will respond in writing within 30 calendar days to
either confirm or refute the calculation error, although CMS reserves
the right to an extension upon written notice to the participant
hospital. If a participant hospital does not submit timely notice of
calculation error in accordance with the timelines and processes
specified by CMS, the participant hospital is precluded from later
contesting any of the following matters contained in the CJR
reconciliation report for that performance year: any matter involving
the calculation of the participant hospital's reconciliation amount or
repayment amount as reflected on a CJR reconciliation report; any
matter involving the calculation of NPRA; the calculation of the
percentiles of quality measure performance to determine eligibility to
receive a reconciliation payment; and the successful reporting of the
voluntary PRO THA/TKA data to adjust the reconciliation payment.
With regard to the dispute resolution process, we are finalizing
our proposal without modification. In accordance with section 1115A(d)
of the Act, there is no administrative or judicial review under
sections 1869 or 1878 of the Act or otherwise for the following:
The selection of models for testing or expansion under
section 1115A of the Act.
The selection of organizations, sites or participants to
test those models selected.
The elements, parameters, scope, and duration of such
models for testing or dissemination.
Determinations regarding budget neutrality under
subsection 1115A(b)(3) of the Act.
The termination or modification of the design and
implementation of a model under subsection 1115A(b)(3)(B of the Act.
Decisions about expansion of the duration and scope of a
model under subsection 1115A(c), including the determination that a
model is not expected to meet criteria described in paragraph (1) or
(2) of such subsection.
We are also finalizing our proposal without modification regarding
the matters subject to dispute resolution, and the process CMS will use
to adjudicate dispute resolution matters. Thus, a participant hospital
may appeal an initial determination that is not precluded from
administrative or judicial review by requesting reconsideration review
by a CMS official. The request for review must be submitted for receipt
by CMS within 10 days of the notice of the initial determination, in a
form and manner specified by CMS. Only a participant hospital may
utilize the dispute resolution process.
In order to access the dispute resolution process, a participant
hospital must timely submit a calculation error form, as previously
discussed, for any matters related to payment. These matters include
any amount or calculation indicated on a CJR reconciliation report,
including calculations not specifically reflected on a CJR
reconciliation report but which generated figures or amounts reflected
on a CJR reconciliation report. The following is a non-exhaustive list
of the matters that we are requiring must be first adjudicated by the
calculation error process as previously detailed: Calculations of
reconciliation or repayment amounts; calculations of NPRA; and any
calculations or percentile distribution involving quality measures that
we proposed could affect reconciliation or repayment amounts. If a
participant hospital wants to engage in the dispute resolution process
with regard to one of these matters, the participant hospital must
first submit a calculation error form. Where the participant hospital
does not timely submit a calculation error form, the dispute resolution
process is not available to the participant hospital with regard to
those matters for the reconciliation report for that performance year.
If the participant hospital does timely submit a calculation error
form and the participant hospital is dissatisfied with CMS's response
to the participant hospital's calculation error form, the hospital is
permitted to request reconsideration review by a CMS reconsideration
official. The reconsideration review request must be submitted in a
form and manner and to
[[Page 73412]]
an individual or office specified by CMS. The reconsideration review
request must provide a detailed explanation of the basis for the
dispute and include supporting documentation for the participant
hospital's assertion that CMS or its representatives did not accurately
calculate the NPRA or post-episode spending amount in accordance with
CJR rules. The following is a non-exhaustive list of representative
payment matters:
Calculations of NPRA, post-episode spending amount, target
prices or any items listed on a reconciliation report.
The application of quality measures to a reconciliation
payment, including the calculation of the percentiles thresholds of
quality measure performance to determine eligibility to receive
reconciliation payments, or the successful reporting of the voluntary
PRO THA/TKA data to adjust the reconciliation payment.
Any contestation based on the grounds that CMS or its
representative made an error in calculating or recording such amounts.
Lastly, we are finalizing our proposal without modification that
the reconsideration review is an on-the-record review (a review of
briefs and evidence only). The CMS reconsideration official will make
reasonable efforts to notify the hospital in writing within 15 calendar
days of receiving the participant hospital's reconsideration review
request of the date and time of the review, the issues in dispute, the
review procedures, and the procedures (including format and deadlines)
for submission of evidence (the ``Scheduling Notice''). The CMS
reconsideration official will make reasonable efforts to schedule the
review to occur no later than 30 calendar days after the date of the
Scheduling Notice. The provisions at Sec. 425.804(b), (c), and (e)
will apply to reviews conducted pursuant to the reconsideration review
process for CJR. The CMS reconsideration official will make reasonable
efforts to issue a written determination within 30 days of the review.
The determination will be final and binding.
This modification is set forth in Sec. 510.310(a)(1). The
remainder of the proposal is finalized as proposed and set forth in
Sec. 510.310.
10. Financial Arrangements and Beneficiary Incentives
a. Financial Arrangements
As previously noted, in the proposed rule we stated our belief that
given the financial incentives of episode payment in CJR, participant
hospitals in the model might want to engage in financial arrangements
to share reconciliation payments or hospital internal cost savings or
both, as well as responsibility for repaying Medicare, with providers
and suppliers making contributions to the hospital's episode
performance on spending and quality. Such arrangements would allow the
participant hospitals to share all or some of the reconciliation
payments they may be eligible to receive from CMS, or the participant
hospital's internal cost savings that result from care for
beneficiaries during a CJR episode. Likewise, such arrangements could
allow the participant hospitals to share the responsibility for the
funds needed to repay Medicare with providers and suppliers engaged in
caring for CJR beneficiaries, if those providers and suppliers have a
role in the hospital's episode spending or quality performance. We use
the term ``CJR collaborator'' to refer to such providers and suppliers,
who we proposed may include the following:
SNFs.
HHAs.
LTCHs.
IRFs.
PGPs.
Physicians, nonphysician practitioners, and providers or
suppliers of therapy services.
We stated our belief that CJR collaborators should have a role in
the participant hospital's episode spending or quality performance.
Accordingly, we proposed that the CJR collaborator would directly
furnish related items or services to a CJR beneficiary during the
episode and/or specifically participate in CJR model LEJR episode care
redesign activities, such as attending CJR meetings and learning
activities; drafting LEJR episode care pathways; reviewing CJR
beneficiaries' clinical courses; developing episode analytics; or
preparing reports of episode performance under the direction of the
participant hospital or a CJR collaborator that directly furnishes
related items and services to CJR beneficiaries. We also stated that in
addition to playing a role in the participant hospital's episode
spending or quality performance, physician, nonphysician, and PGP CJR
collaborators must directly furnish services to CJR beneficiaries in
order to receive a gainsharing payment as result of their financial
arrangement with the participant hospital. We sought comment on our
proposed definition of CJR collaborators, as well as our proposed
definition of a provider's or supplier's role in the participant
hospital's episode spending or quality performance.
We proposed that certain financial arrangements between a
participant hospital and a CJR collaborator be termed a ``CJR sharing
arrangement,'' and that the terms of each CJR sharing arrangement be
set forth in a written agreement between the participant hospital and
the CJR collaborator. We proposed to use the term ``Participation
Agreement'' to refer to such agreements. We proposed that a ``CJR
sharing arrangement'' would be a financial arrangement contained in a
Participation Agreement to share only the following: (1) CJR
reconciliation payments (as that term is defined in section III.C. of
the proposed rule); (2) the participant hospital's internal cost
savings (as that term is defined later in this section); and (3) the
participant hospital's responsibility for repayment to Medicare, as
discussed later in this section. Where a payment from a participant
hospital to a CJR collaborator is made pursuant to a CJR sharing
arrangement, we proposed to define that payment as a ``gainsharing
payment.'' A gainsharing payment may only be only composed of the
following: (1) Reconciliation payments; (2) internal cost savings; or
(3) both. Where a payment from a CJR collaborator to a participant
hospital is made pursuant to a CJR sharing arrangement, we proposed to
define that payment as an ``alignment payment.'' We proposed that CJR
sharing arrangements that provide for alignment payments would not
relieve the participant hospital of its ultimate responsibility for
repayment to CMS. Many of the programmatic requirements discussed later
in this final rule for gainsharing payments and alignment payments are
similar to those in Model 2 of the BPCI initiative.
CJR sharing arrangements must be solely related to the
contributions of the CJR collaborators to care redesign that achieve
quality and efficiency improvements under this model for CJR
beneficiaries. All gainsharing payments or alignment payments between
participant hospitals and CJR collaborators resulting from these
arrangements must be auditable by HHS, as discussed later in this
section, to ensure their financial and programmatic integrity. We
emphasized that any CJR collaborator that receives a gainsharing
payment or makes an alignment payment must have furnished services
included in the episode to CJR beneficiaries. Furthermore, the payment
arrangements for gainsharing payments or alignment payments contained
in a CJR sharing arrangement must be actually and proportionally
related to
[[Page 73413]]
the care of beneficiaries in a CJR episode, and the CJR collaborator
must be contributing to the care redesign strategies of the participant
hospital.
We considered whether CJR collaborators should be termed
``participants'' in this model, or whether the term ``participant''
should refer only to the participant hospitals located in MSAs selected
for participation. If CJR collaborators are participants in the model,
we proposed that their activities with regard to CJR beneficiaries
would be regulated directly by CMS. However, if CJR collaborators are
not participants, but rather are participating entities and individuals
in the CJR model through signed agreements with participant hospitals,
their activities with regard to CJR beneficiaries would be governed by
the Participation Agreement between a CJR collaborator and a
participant hospital. Given the large number of potential CJR
collaborators, the expected varied nature of their respective
arrangements with participant hospitals, and the potential
administrative burden in reporting information to CMS, we believed the
activities of CJR collaborators with regard to CJR beneficiaries would
be best managed by participant hospitals. As we discussed earlier in
this final rule, one justification for proposing that acute care
hospitals be the provider type financially responsible under the CJR
model is the position of the hospital with respect to other providers
and suppliers, in terms of coordinating care for CJR beneficiaries.
Given that position, we proposed that where participant hospitals enter
into Participation Agreements that contain CJR sharing arrangements,
the participant hospital must also be responsible for ensuring that
those providers and suppliers comply with the terms and requirements of
the proposed rule. We sought comments on this proposal; specifically,
whether CJR collaborators should be termed participants in this model
and subject to the applicable requirements, or whether the
responsibility for compliance with the model's requirements is better
managed by participant hospitals. We were particularly interested in
comments that address the advantages and disadvantages of making CJR
collaborators participants in the model, and whether there are certain
provider or supplier types that CMS should consider including as
``participants'' in the model.
The following discussion outlines our proposed requirements and
responsibilities of participant hospitals that engage in such CJR
sharing arrangements. In the proposed rule, we stated our belief that
these proposed requirements and responsibilities are essential to
ensuring that all CJR sharing arrangements are for the sole purpose of
aligning the financial incentives of collaborating providers and
suppliers with those of the participant hospital toward the CJR model
goals of improved LEJR episode care quality and efficiency. We believed
that the rationale for and details of these arrangements must be
documented and auditable by HHS, with a direct connection to the
arrangements and the participant hospital's episode performance.
Finally, we believed that the proposed limitations to the arrangements,
as described later in this section, are necessary to ensure the
integrity of the CJR model by minimizing incentives for problematic
behaviors, such as patient steering. We sought comments on all proposed
requirements regarding CJR sharing arrangements.
With respect to whether certain entities or individuals should be
prevented from participating in the CJR model, either as participant
hospitals or CJR collaborators, we considered whether CMS should
conduct screening for program integrity purposes. Many CMS models
conduct screening during the application process and periodically
thereafter. These screenings examine provider and supplier program
integrity history, including any history of Medicare program exclusions
or other sanctions and affiliations with individuals or entities that
have a history of program integrity issues. Where a screening reveals
that a provider or supplier has a history of program integrity issues
or affiliations with individuals or entities that have a history of
program integrity issues, we may remove that provider or supplier from
the model. We utilize these screening processes for many CMS models,
including the BPCI initiative.
For several reasons, in the proposed rule we stated our belief that
this type of screening for participant hospitals would be inapplicable
to the CJR model. Most importantly, this model seeks to evaluate the
performance in the model of hospitals located in a particular MSA. We
believed it is important that all hospitals that meet the criteria for
participation in the model be included. Further, in section III.F. of
the proposed rule we proposed that CMS would evaluate the quality of
care and institute beneficiary protections via a monitoring plan that
in ways that would go beyond some of the efforts of previous or
existing CMS models. We solicited comments on this proposal, including
whether screening of participant hospitals or CJR collaborators might
be appropriate or useful in aiding HHS' program integrity efforts and
identifying untrustworthy parties or parties with program integrity
history problems.
(1) CJR Sharing Arrangement Requirements
We proposed that each CJR sharing arrangement must include and set
forth in writing at a minimum--
A specific methodology and accounting formula for
calculating and verifying internal cost savings, if the participant
hospital elects to share internal cost savings through gainsharing
payments with CJR collaborators. We proposed to define internal cost
savings as the measurable, actual, and verifiable cost savings realized
by the participant hospital resulting from care redesign undertaken by
the participant hospital in connection with providing items and
services to beneficiaries within specific CJR episodes of care.
Internal cost savings would not include savings realized by any
individual or entity that is not the participant hospital. Each CJR
sharing arrangement must include specific methodologies for accruing
and calculating internal cost savings of the participant hospital,
where the hospital intends to share internal cost savings through a CJR
sharing arrangement. The specific methodologies for accruing and
calculating internal cost savings must be transparent, measurable, and
verifiable in accordance with Generally Accepted Accounting Principles
(GAAP) and Government Auditing Standards (The Yellow Book). The
methodology must set out the specific care redesign elements to be
undertaken by the participant hospital or the CJR collaborator or both;
A description of the methodology and accounting formula
for calculating the percentage or dollar amount of a reconciliation
payment received from CMS that will be paid as a gainsharing payment
from the participant hospital to the CJR collaborator;
A description of the methodology, frequency or dates of
distribution, and accounting formula for distributing and verifying any
and all gainsharing payments;
A description of the arrangement between the participant
hospital and the CJR collaborator regarding alignment payments, where
the hospital and CJR collaborator agree through a CJR sharing
arrangement to share risk for repayment amounts due to CMS, as
reflected on a CJR reconciliation report. The description of this
arrangement must include safeguards to ensure that such alignment
payments are made solely for
[[Page 73414]]
purposes related to sharing responsibility for funds needed to repay
Medicare in the CJR model. This description should also include a
methodology, frequency of payment, and accounting formula for payment
and receipt of any and all alignment payments;
A provision requiring the participant hospital to recoup
gainsharing payments paid to CJR collaborators if gainsharing payments
were based on the submission of false or fraudulent data;
Plans regarding care redesign, changes in care
coordination or delivery that are applied to the participant hospital
or CJR collaborators or both, and any description of how success will
be measured;
Management and staffing information, including type of
personnel or contactors that will be primarily responsible for carrying
out changes to care under the model;
The participant hospital must maintain records identifying
all CJR collaborators, and the participant hospital's process for
determining and verifying the eligibility of CJR collaborators to
participate in Medicare; and
All CJR sharing arrangements must require compliance, from
both the participant hospital and the CJR collaborator, with the
policies regarding beneficiary notification set forth in section III.F.
of the final rule.
With respect to these requirements for Participation Agreements and
CJR sharing arrangements, we considered whether we should require
participant hospitals and CJR collaborators to periodically report this
information to CMS for purposes of enforcement of these proposed
regulations. However, we are mindful of the administrative burden in
reporting this information as well as the challenges associated with
creating a universal collection tool that would account for all the
various iterations of financial arrangements into which participant
hospitals and CJR collaborators may enter. We sought comment on this
proposal as well as whether CMS should require participant hospitals
and CJR collaborators to periodically report data such as: Gainsharing
payments and/or alignment payments distributed and received; name and
identifier (NPI, CCN, TIN) of all CJR collaborators; and any other
relevant information related to Participation Agreements and CJR
sharing arrangements that would assist HHS with enforcement of these
regulations.
We solicited comments about all of the requirements set out in the
preceding discussion, including whether additional or different
safeguards would be needed to ensure program integrity, protect against
abuse, and ensure that the goals of the model are met.
(2) Participation Agreement Requirements
We proposed that the Participation Agreement must obligate the
parties to comply, and must obligate the CJR collaborator to require
any of its employees, contractors or designees to comply, without
limitation, with the following requirements:
Each individual's or entity's participation in the CJR
sharing arrangement is voluntary and without penalty for
nonparticipation.
Any gainsharing payments made pursuant to a CJR sharing
arrangement must be made only from the participant hospital to the CJR
collaborator with whom the participant hospital has signed a
Participation Agreement containing a CJR sharing arrangement.
Additionally, we proposed to require the following for all CJR sharing
arrangements between a participant hospital and a CJR collaborator that
is a PGP:
+ Where a gainsharing payment is made to a CJR collaborator that is
a PGP, all monies contained in such a gainsharing payment must be
shared only with physician or nonphysician practitioners that furnished
a service to a CJR beneficiary during an episode of care in the
calendar year from which the Net Payment Reconciliation Amount (NPRA),
as that term is defined in section III.C.6. of this final rule, or
internal cost savings was generated, either or both of which are the
only permitted sources of funds for a gainsharing payment. We further
proposed that each CJR sharing arrangement between a participant
hospital and a CJR collaborator that is a PGP must stipulate that the
PGP may not retain any portion of a gainsharing payment or distribute,
by any method, any portion of a gainsharing payment to physician or
nonphysician practitioners who did not furnish a service to a CJR
beneficiary during an episode of care in the calendar year from which
the NPRA or internal cost savings was generated.
Any alignment payments made pursuant to a CJR sharing
arrangement may be made only to the participant hospital from the
entity or individual with whom the participant hospital has signed a
Participation Agreement containing a CJR sharing arrangement.
Each CJR sharing arrangement must require that the CJR
collaborator be in compliance with all Medicare provider enrollment
requirements at Sec. 424.500 et seq., including having a valid and
active TIN or NPI.
Any internal cost savings or reconciliation payments that
the participant hospital seeks to share through CJR sharing
arrangements must meet the requirements set forth in the final CJR rule
(as finalized) and be administered by the participant hospital in
accordance with GAAP. In no event may the participant hospital
distribute any amounts pursuant to a CJR sharing arrangement that are
not comprised of either internal cost savings or a reconciliation
payment, as those terms are defined in this final rule. All amounts
determined to be internal cost savings by the participant hospital must
reflect actual, internal cost savings achieved by the participant
hospital through implementation of care redesign elements identified
and documented by the participant hospital. In no case may internal
cost savings reflect ``paper'' savings from accounting conventions or
past investment in fixed costs.
Any alignment payments that the participant hospital
receives through a CJR sharing arrangement must meet the requirements
set forth in the final CJR rule (as finalized) and be administered by
the participant hospital in accordance with GAAP.
CJR sharing arrangements must not include any amounts that
are not alignment payments or gainsharing payments.
Further, we proposed that each Participation Agreement--
++ Between the participant hospital and a CJR collaborator must
obligate the CJR collaborator to provide the participant hospital and
HHS access to the CJR collaborator's records, information, and data for
purposes of monitoring and reporting and any other lawful purpose.
Records, information, and data regarding the CJR sharing arrangement
must have sufficient detail to verify compliance with all material
terms of the CJR sharing arrangement and the terms of the CJR model;
++ Must require the participant hospital and the CJR collaborator
to include in their compliance programs specific oversight of their
Participation Agreements and compliance with the requirements of the
CJR model;
++ If the participant hospital or CJR collaborator does not have a
compliance program, each party must create one and incorporate the
provisions described in this part in that program;
++ Must require compliance, from both the participant hospital and
the CJR collaborator, with the policies regarding beneficiary
notification set
[[Page 73415]]
forth in section III.F.2. of this final rule; and
++ Must require the board or other governing body of the
participant hospital to have responsibility for overseeing the
participant hospital's participation in the model, its arrangements
with CJR collaborators, its payment of gainsharing payments and receipt
of alignment payments, and its use of beneficiary incentives in the CJR
model.
Participation Agreements must require all CJR
collaborators to comply with any evaluation, monitoring, compliance,
and enforcement activities performed by HHS or its designees for the
purposes of operating the CJR model.
Each Participation Agreement must require the CJR
collaborator to permit site visits from CMS, or one of its designees,
for purposes of evaluating the model.
We solicited comments about all of the requirements set out in the
preceding discussion, including whether additional or different
safeguards would be needed to ensure program integrity, protect against
abuse, and ensure that the goals of the model are met.
(3) Gainsharing Payment and Alignment Payment Conditions and
Restrictions
We proposed the following conditions and restrictions concerning
gainsharing payments and alignment payments made pursuant to a CJR
sharing arrangement:
No entity or individual, whether or not a party to a
Participation Agreement, may condition the opportunity to give or
receive gainsharing payments in CJR on the volume or value of past or
anticipated referrals or other business generated to, from, or among a
participant hospital, any CJR collaborators, and any individual or
entity affiliated with a participant hospital or CJR collaborator.
Participant hospitals would not be required to share
reconciliation payments, internal cost savings, or responsibility for
repayment to CMS with other providers and suppliers. However, where a
participant hospital elects to engage in those activities, we proposed
that such activities be limited to the provisions prescribed in the
proposed rule.
We proposed that gainsharing payments must be distributed
on an annual basis, and are required to meet the following criteria:
++ Must be clearly identified and comply with all provisions in the
proposed rule, as well as all applicable laws, statutes, and rules;
++ Must not be a loan, advance payments, or payments for referrals
or other business; and
++ Must be made by electronic funds transfer (EFT).
We proposed that alignment payments from a CJR
collaborator to a participant hospital may be made at any interval, and
are required to meet the following criteria:
++ Must be clearly identified and comply with all provisions in the
proposed rule, as well as all applicable laws, statutes, and rules;
++ Must not be issued, distributed, or paid prior to the
calculation by CMS of a reconciliation report reflecting a negative
NPRA;
++ Must not be a loan, advance payments, or payments for referrals
or other business; and
++ Must be made by EFT.
We proposed that each CJR sharing arrangement stipulate
that any CJR collaborator that is subject to any action involving
noncompliance with the provisions of the proposed rule, engaged in
fraud or abuse, providing substandard care, or have other integrity
problems not be eligible to receive any gainsharing payments related to
NPRA generated during the time that coincides with the action involving
any of the issues previously listed until the action has been resolved
in a forum or manner that constitutes a final determination, either by
the state or federal court of last resort, as applicable, or by CMS,
HHS, or its designees.
No entity or individual, whether or not a party to a
Participation Agreement, may condition the opportunity to make or
receive alignment payments in CJR on the volume or value of past or
anticipated referrals or other business generated to, from, or among a
participant hospital, any CJR collaborators, and any individual or
entity affiliated with a participant hospital or CJR collaborator.
In a calendar year, the aggregate amount of the total
gainsharing payments distributed by the participant hospital that are
derived from a CJR reconciliation payment may not exceed the amount of
the reconciliation payment that the participant hospital received from
CMS.
In a calendar year, the aggregate amount of the total
alignment payments received by the participant hospital may not exceed
50 percent of the participant hospital's repayment amount due to CMS.
If no repayment amount is due, then no alignment payments may be
received by the participant hospital.
We proposed that the participant hospital must retain at
least 50 percent of its responsibility for repayment to CMS, pursuant
to the repayment amount reflected in each annual reconciliation report,
under the CJR model. Given that the participant hospital will be
responsible for developing and coordinating care redesign strategies in
response to its participation in the CJR model, we believed it is
important that the participant hospital retain a significant portion of
its responsibility for repayment to CMS. For example, upon receipt of a
reconciliation report indicating that the participant hospital owes
$100 to CMS, the participant hospital would be permitted to receive no
greater than $50 in alignment payments, in the aggregate, from its CJR
collaborators.