Medicare Program; Inpatient Rehabilitation Facility Prospective Payment System for Federal Fiscal Year 2015, 26307-26354 [2014-10321]
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Vol. 79
Wednesday,
No. 88
May 7, 2014
Part II
Department of Health and Human Services
pmangrum on DSK3VPTVN1PROD with PROPOSALS2
Centers for Medicare & Medicaid Services
42 CFR Part 412
Medicare Program; Inpatient Rehabilitation Facility Prospective Payment
System for Federal Fiscal Year 2015; Proposed Rule
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DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Centers for Medicare & Medicaid
Services
42 CFR Part 412
[CMS–1608–P]
RIN 0938–AS09
Medicare Program; Inpatient
Rehabilitation Facility Prospective
Payment System for Federal Fiscal
Year 2015
Centers for Medicare &
Medicaid Services (CMS), HHS.
ACTION: Proposed rule.
AGENCY:
This proposed rule would
update the prospective payment rates
for inpatient rehabilitation facilities
(IRFs) for federal fiscal year (FY) 2015
(for discharges occurring on or after
October 1, 2014 and on or before
September 30, 2015) as required by the
statute. We are also proposing to collect
data on the amount and mode (that is,
Individual, Group, and Co-Treatment) of
therapy provided in the IRF setting
according to therapy discipline, revise
the list of impairment group codes that
presumptively meet the ‘‘60 percent
rule’’ compliance criteria, provide for a
new item on the Inpatient Rehabilitation
Facility-Patient Assessment Instrument
(IRF–PAI) form to indicate whether the
prior treatment and severity
requirements have been met for arthritis
cases to presumptively meet the ‘‘60
percent rule’’ compliance criteria, and
revise and update quality measures and
reporting requirements under the IRF
quality reporting program (QRP). In this
proposed rule, we also address the
implementation of the International
Classification of Diseases, 10th
Revision, Clinical Modification (ICD–
10–CM), for the IRF prospective
payment system (PPS), effective when
ICD–10–CM becomes the required
medical data code set for use on
Medicare claims and IRF–PAI
submissions.
DATES: To be assured consideration,
comments must be received at one of
the addresses provided below, no later
than 5 p.m. on June 30, 2014.
ADDRESSES: In commenting, please refer
to file code CMS–1608–P. Because of
staff and resource limitations, we cannot
accept comments by facsimile (FAX)
transmission.
You may submit comments in one of
four ways (please choose only one of the
ways listed):
1. Electronically. You may submit
electronic comments on this regulation
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SUMMARY:
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to https://www.regulations.gov. Follow
the ‘‘Submit a comment’’ instructions.
2. By regular mail. You may mail
written comments to the following
address ONLY:
Centers for Medicare & Medicaid
Services, Department of Health and
Human Services, Attention: CMS–1608–
P, P.O. Box 8016, Baltimore, MD 21244–
8016.
Please allow sufficient time for mailed
comments to be received before the
close of the comment period.
3. By express or overnight mail. You
may send written comments to the
following address ONLY:
Centers for Medicare & Medicaid
Services, Department of Health and
Human Services, Attention: CMS–1608–
P, Mail Stop C4–26–05, 7500 Security
Boulevard, Baltimore, MD 21244–1850.
4. By hand or courier. Alternatively,
you may deliver (by hand or courier)
your written comments ONLY to the
following addresses prior to the close of
the comment period:
a. For delivery in Washington, DC—
Centers for Medicare & Medicaid
Services, Department of Health and
Human Services, Room 445–G, Hubert
H. Humphrey Building, 200
Independence Avenue SW.,
Washington, DC 20201.
(Because access to the interior of the
Hubert H. Humphrey Building is not
readily available to persons without
Federal government identification,
commenters are encouraged to leave
their comments in the CMS drop slots
located in the main lobby of the
building. A stamp-in clock is available
for persons wishing to retain a proof of
filing by stamping in and retaining an
extra copy of the comments being filed.)
b. For delivery in Baltimore, MD—
Centers for Medicare & Medicaid
Services, Department of Health and
Human Services, 7500 Security
Boulevard, Baltimore, MD 21244–1850.
If you intend to deliver your
comments to the Baltimore address,
please call telephone number (410) 786–
7195 in advance to schedule your
arrival with one of our staff members.
Comments erroneously mailed to the
addresses indicated as appropriate for
hand or courier delivery may be delayed
and received after the comment period.
For information on viewing public
comments, see the beginning of the
SUPPLEMENTARY INFORMATION section.
FOR FURTHER INFORMATION CONTACT:
Gwendolyn Johnson, (410) 786–6954,
for general information. Charles Padgett,
(410) 786–2811, for information about
the quality reporting program. Kadie
Thomas, (410) 786–0468, or Susanne
Seagrave, (410) 786–0044, for
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information about the payment policies
and the proposed payment rates.
SUPPLEMENTARY INFORMATION: The IRF
PPS Addenda along with other
supporting documents and tables
referenced in this proposed rule are
available through the Internet on the
CMS Web site at https://
www.cms.hhs.gov/Medicare/MedicareFee-for-Service-Payment/
InpatientRehabFacPPS/.
Inspection of Public Comments: All
comments received before the close of
the comment period are available for
viewing by the public, including any
personally identifiable or confidential
business information that is included in
a comment. We post all comments
received before the close of the
comment period on the following Web
site as soon as possible after they have
been received: https://
www.regulations.gov. Follow the search
instructions on that Web site to view
public comments.
Comments received timely will also
be available for public inspection as
they are received, generally beginning
approximately 3 weeks after publication
of a document, at the headquarters of
the Centers for Medicare & Medicaid
Services, 7500 Security Boulevard,
Baltimore, Maryland 21244, Monday
through Friday of each week from 8:30
a.m. to 4 p.m. To schedule an
appointment to view public comments,
phone 1–800–743–3951.
Executive Summary
A. Purpose
This proposed rule updates the
payment rates for inpatient
rehabilitation facilities (IRFs) for federal
fiscal year (FY) 2015 (that is, for
discharges occurring on or after October
1, 2014, and on or before September 30,
2015) as required under section
1886(j)(3)(C) of the Social Security Act
(the Act). Section 1886(j)(5) of the Act
requires the Secretary to publish in the
Federal Register on or before the August
1 that precedes the start of each fiscal
year, the classification and weighting
factors for the IRF prospective payment
system’s (PPS) case-mix groups and a
description of the methodology and data
used in computing the prospective
payment rates for that fiscal year.
B. Summary of Major Provisions
In this proposed rule, we use the
methods described in the FY 2014 IRF
PPS final rule (78 FR 47860) to update
the federal prospective payment rates
for FY 2015 using updated FY 2013 IRF
claims and the most recent available IRF
cost report data. We are also proposing
to collect data on the amount and mode
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(that is, Individual, Group, and CoTreatment) of therapy provided in the
IRF setting according to therapy
discipline, revise the list of impairment
group codes that presumptively meet
the ‘‘60 percent rule’’ compliance
criteria, provide for a new item on the
Inpatient Rehabilitation Facility-Patient
Assessment Instrument (IRF–PAI)form
to indicate whether the prior treatment
and severity requirements have been
met for arthritis cases to presumptively
meet the ‘‘60 percent rule’’ compliance
criteria, and revise and update quality
measures and reporting requirements
under the IRF QRP. In this proposed
rule, we also address the
implementation of the International
26309
Classification of Diseases, 10th
Revision, Clinical Modification (ICD–
10–CM), for the IRF prospective
payment system (PPS), effective when
ICD–10–CM becomes the required
medical data code set for use on
Medicare claims and IRF–PAI
submissions.
C. Summary of Impacts
Provision description
Transfers
FY 2015 IRF PPS payment rate update ............
The overall economic impact of this proposed rule is an estimated $160 million in increased
payments from the Federal government to IRFs during FY 2015.
Provision description
Costs
New quality reporting program requirements .....
The total costs in FY 2015 for IRFs as a result of the proposed new quality reporting requirements are estimated to be $852,238.
New Individual, Group, and Co-Treatment therapy reporting requirements.
The total costs in FY 2016 for IRFs as a result of the proposed new Individual, Group, and CoTreatment reporting requirements are estimated to be $1.2 million.
To assist readers in referencing
sections contained in this document, we
are providing the following Table of
Contents.
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Table of Contents
I. Background
A. Historical Overview of the Inpatient
Rehabilitation Facility Prospective
Payment System (IRF PPS)
B. Provisions of the Affordable Care Act
Affecting the IRF PPS in FY 2012 and
Beyond
C. Operational Overview of the Current IRF
PPS
II. Summary of Provisions of the Proposed
Rule
III. Proposed Update to the Case-Mix Group
(CMG) Relative Weights and Average
Length of Stay Values for FY 2015
IV. Proposal to Freeze the Facility-Level
Adjustment Factors at FY 2014 Levels
A. Background on Facility-Level
Adjustments
B. Proposal to Freeze the Facility-Level
Adjustment Factors at FY 2014 Levels
V. Proposed FY 2015 IRF PPS Federal
Prospective Payment Rates
A. Proposed Market Basket Increase Factor,
Productivity Adjustment, and Other
Adjustment for FY 2015
B. Development of an IRF-Specific Market
Basket
C. Secretary’s Proposed Recommendation
D. Proposed Labor-Related Share for FY
2015
E. Proposed Wage Adjustment
F. Description of the Proposed IRF
Standard Conversion Factor and
Payment Rates for FY 2015
G. Example of the Methodology for
Adjusting the Proposed Federal
Prospective Payment Rates
VI. Proposed Update to Payments for HighCost Outliers under the IRF PPS
A. Proposed Update to the Outlier
Threshold Amount for FY 2015
B. Proposed Update to the IRF Cost-toCharge Ratio Ceiling and Urban/Rural
Averages
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VII. Proposed Refinements to the
Presumptive Compliance Methodology
A. Background on the Compliance
Percentage
B. Proposed Changes to the Diagnosis
Codes That Are Used To Determine
Presumptive Compliance
C. Proposed Changes to the Impairment
Group Codes That Meet Presumptive
Compliance Criteria
VIII. Proposed Data Collection of the Amount
and Mode (Individual, Group, and CoTreatment) of Therapy Provided in IRFs
According to Occupational, Speech, and
Physical Therapy Disciplines
IX. Proposed Revision to the IRF–PAI to Add
Data Item for Arthritis Conditions
X. International Classification of Diseases,
10th Revision, Clinical Modification
(ICD–10–CM), Conversion
A. Background on the Use of Diagnosis
Information in the IRF PPS
B. Conversion of Diagnosis Information
from ICD–9–CM to ICD–10–CM for the
IRF PPS
XI. Proposed Revisions and Updates to the
Quality Reporting Program for IRFs
A. Background and Statutory Authority
B. Quality Measures Previously Finalized
for and Currently Used in the IRF
Quality Reporting Program
C. Proposed New IRF QRP Quality
Measures Affecting the FY 2017
Adjustments to the IRF PPS Annual
Increase Factor and Beyond General
Considerations Used for Selection of
Quality Measures for the IRF QRP
D. IRF QRP Quality Measures and
Concepts under Consideration for Future
Years
E. Proposed Timeline for Data Submission
for New IRF QRP Quality Measures
Affecting the FY 2017 Adjustments to
the IRF PPS Annual Increase Factor
F. Proposed Timing for New IRFs to Begin
Reporting Quality Data under the IRF
QRP Affecting the FY 2017 Adjustments
to the IRF PPS Annual Increase Factor
and Beyond
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G. Proposed IRF QRP Data Submission
Exception or Extension Requirements for
the FY 2017 Adjustments to the IRF PPS
Annual Increase Factor and Beyond
H. Proposed IRF QRP Data Submission
Exception or Extension Requirements for
the FY 2017 Adjustments to the IRF PPS
Annual Increase Factor and Beyond
I. Public Display of Quality Measure Data
for the IRF QRP
J. Proposed IRF QRP Data Completion
Thresholds for the FY 2016 Adjustments
to the IRF PPS Annual Increase Factor
and Beyond
K. Proposed Data Validation Process for the
FY 2017 Adjustments to the IRF PPS
Annual Increase Factor and Beyond
L. Application of the 2 Percentage Point
Reduction for IRF Providers that Fail to
Meet the Above Proposed Data Accuracy
Threshold
M. Electronic Health Record and Health
Information Exchange
N. Proposed Method for Applying the
Reduction to the FY 2015 IRF Increase
Factor for IRFs That Fail to Meet the
Quality Reporting Requirements
XII. Collection of Information Requirements
A. ICRs Regarding the IRF QRP
B. ICRs Regarding Individual, Group, and
Co-Treatment Therapy Data on the IRF–
PAI
XIII. Response to Public Comments
XIV. Regulatory Impact Analysis
A. Statement of Need
B. Overall Impacts
C. Detailed Economic Analysis
D. Alternatives Considered
E. Accounting Statement
F. Conclusion
Acronyms, Abbreviations, and Short
Forms
Because of the many terms to which
we refer by acronym, abbreviation, or
short form in this proposed rule, we are
listing the acronyms, abbreviation, and
short forms used and their
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corresponding terms in alphabetical
order below.
The Act The Social Security Act
ADC Average Daily Census
The Affordable Care Act Patient Protection
and Affordable Care Act (Pub. L. 111–148,
enacted on March 23, 2010)
AHA American Hospital Association
AHIMA American Health Information
Management Association
ASCA Administrative Simplification
Compliance Act (Pub. L. 107–105, enacted
on December 27, 2002)
BLS U.S. Bureau of Labor Statistics
CAH Critical Access Hospitals
CAUTI Catheter-Associated Urinary Tract
Infection
CBSA Core-Based Statistical Area
CCR Cost-to-Charge Ratio
CDC The Centers for Disease Control and
Prevention
CDI Clostridium difficile Infection
CFR Code of Federal Regulations
CMG Case-Mix Group
CMS Centers for Medicare & Medicaid
Services
DRA Deficit Reduction Act of 2005 (Pub. L.
109–171, enacted February 8, 2006)
DSH Disproportionate Share Hospital
DSH PP Disproportionate Share Patient
Percentage
EHR Electronic Health Record
ESRD End-Stage Renal Disease
FR Federal Register
FY Federal Fiscal Year
GEMs General Equivalence Mappings
HAI Healthcare Associated Infection
HCP Health Care Personnel
HHS U.S. Department of Health & Human
Services
HIE Health Information Exchange
HIPAA Health Insurance Portability and
Accountability Act of 1996 (Pub. L. 104–
191, enacted on August 21, 1996)
ICD–9–CM The International Classification
of Diseases, 9th Revision, Clinical
Modification
ICD–10–CM The International
Classification of Diseases, 10th Revision,
Clinical Modification
ICRs Information Collection Requirements
IGC Impairment Group Code
IGI IHS Global Insight
IPF Inpatient Psychiatric Facility
IPPS Inpatient Prospective Payment System
IQR Inpatient Quality Reporting Program
IRF Inpatient Rehabilitation Facility
IRF–PAI Inpatient Rehabilitation FacilityPatient Assessment Instrument
IRF PPS Inpatient Rehabilitation Facility
Prospective Payment System
IRVEN Inpatient Rehabilitation Validation
and Entry
LIP Low-Income Percentage
LPN Licensed Practical Nurse
LTCH Long-Term Care Hospital
MAC Medicare Administrative Contractor
MAP Measure Applications Partnership
MA (Medicare Part C) Medicare Advantage
MedPAC Medicare Payment Advisory
Commission
MedPAR Medicare Provider Analysis and
Review
MDS Minimum Data Set
MFP Multifactor Productivity
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MMSEA Medicare, Medicaid, and SCHIP
Extension Act of 2007 (Pub. L. 110–173,
enacted on December 29, 2007)
MRSA Methicillin-Resistant
Staphylococcus aureus
MSA Metropolitan Statistical Area
MUC Measures under Consideration
NHSN National Healthcare Safety Network
NPP National Priorities Partnership
NQF National Quality Forum
OMB Office of Management and Budget
ONC Office of the National Coordinator for
Health Information Technology
PAI Patient Assessment Instrument
PPI Producer Price Index
PPS Prospective Payment System
PRA Paperwork Reduction Act of 1995
(Pub. L. 104–13, enacted on May 22, 1995)
PRRB Provider Reimbursement Review
Board
QM Quality Measure
QRP Quality Reporting Program
RIA Regulatory Impact Analysis
RIC Rehabilitation Impairment Category
RFA Regulatory Flexibility Act (Pub. L. 96–
354, enacted on September 19, 1980)
RN Registered Nurse
RPL Rehabilitation, Psychiatric, and LongTerm Care market basket
UMRA Unfunded Mandates Reform Act of
1995 (Pub. L. 104–4, enacted on March 22,
1995)
I. Background
A. Historical Overview of the Inpatient
Rehabilitation Facility Prospective
Payment System (IRF PPS)
Section 1886(j) of the Act provides for
the implementation of a per-discharge
prospective payment system (PPS) for
inpatient rehabilitation hospitals and
inpatient rehabilitation units of a
hospital (collectively, hereinafter
referred to as IRFs).
Payments under the IRF PPS
encompass inpatient operating and
capital costs of furnishing covered
rehabilitation services (that is, routine,
ancillary, and capital costs), but not
direct graduate medical education costs,
costs of approved nursing and allied
health education activities, bad debts,
and other services or items outside the
scope of the IRF PPS. Although a
complete discussion of the IRF PPS
provisions appears in the original FY
2002 IRF PPS final rule (66 FR 41316)
and the FY 2006 IRF PPS final rule (70
FR 47880), we are providing below a
general description of the IRF PPS for
fiscal years (FYs) 2002 through 2013.
Under the IRF PPS from FY 2002
through FY 2005, as described in the FY
2002 IRF PPS final rule (66 FR 41316),
the federal prospective payment rates
were computed across 100 distinct casemix groups (CMGs). We constructed 95
CMGs using rehabilitation impairment
categories (RICs), functional status (both
motor and cognitive), and age (in some
cases, cognitive status and age may not
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be a factor in defining a CMG). In
addition, we constructed five special
CMGs to account for very short stays
and for patients who expire in the IRF.
For each of the CMGs, we developed
relative weighting factors to account for
a patient’s clinical characteristics and
expected resource needs. Thus, the
weighting factors accounted for the
relative difference in resource use across
all CMGs. Within each CMG, we created
tiers based on the estimated effects that
certain comorbidities would have on
resource use.
We established the federal PPS rates
using a standardized payment
conversion factor (formerly referred to
as the budget-neutral conversion factor).
For a detailed discussion of the budgetneutral conversion factor, please refer to
our FY 2004 IRF PPS final rule (68 FR
45684 through 45685). In the FY 2006
IRF PPS final rule (70 FR 47880), we
discussed in detail the methodology for
determining the standard payment
conversion factor.
We applied the relative weighting
factors to the standard payment
conversion factor to compute the
unadjusted federal prospective payment
rates under the IRF PPS from FYs 2002
through 2005. Within the structure of
the payment system, we then made
adjustments to account for interrupted
stays, transfers, short stays, and deaths.
Finally, we applied the applicable
adjustments to account for geographic
variations in wages (wage index), the
percentage of low-income patients,
location in a rural area (if applicable),
and outlier payments (if applicable) to
the IRFs’ unadjusted federal prospective
payment rates.
For cost reporting periods that began
on or after January 1, 2002, and before
October 1, 2002, we determined the
final prospective payment amounts
using the transition methodology
prescribed in section 1886(j)(1) of the
Act. Under this provision, IRFs
transitioning into the PPS were paid a
blend of the federal IRF PPS rate and the
payment that the IRFs would have
received had the IRF PPS not been
implemented. This provision also
allowed IRFs to elect to bypass this
blended payment and immediately be
paid 100 percent of the federal IRF PPS
rate. The transition methodology
expired as of cost reporting periods
beginning on or after October 1, 2002
(FY 2003), and payments for all IRFs
now consist of 100 percent of the federal
IRF PPS rate.
We established a CMS Web site as a
primary information resource for the
IRF PPS which is available at https://
www.cms.gov/Medicare/Medicare-Feefor-ServicePayment/
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InpatientRehabFacPPS/. The
Web site may be accessed to download
or view publications, software, data
specifications, educational materials,
and other information pertinent to the
IRF PPS.
Section 1886(j) of the Act confers
broad statutory authority upon the
Secretary to propose refinements to the
IRF PPS. In the FY 2006 IRF PPS final
rule (70 FR 47880) and in correcting
amendments to the FY 2006 IRF PPS
final rule (70 FR 57166) that we
published on September 30, 2005, we
finalized a number of refinements to the
IRF PPS case-mix classification system
(the CMGs and the corresponding
relative weights) and the case-level and
facility-level adjustments. These
refinements included the adoption of
the Office of Management and Budget’s
(OMB) Core-Based Statistical Area
(CBSA) market definitions,
modifications to the CMGs, tier
comorbidities, and CMG relative
weights, implementation of a new
teaching status adjustment for IRFs,
revision and rebasing of the market
basket index used to update IRF
payments, and updates to the rural, lowincome percentage (LIP), and high-cost
outlier adjustments. Beginning with the
FY 2006 IRF PPS final rule (70 FR 47908
through 47917), the market basket index
used to update IRF payments is a market
basket reflecting the operating and
capital cost structures for freestanding
IRFs, freestanding inpatient psychiatric
facilities (IPFs), and long-term care
hospitals (LTCHs) (hereafter referred to
as the rehabilitation, psychiatric, and
long-term care (RPL) market basket).
Any reference to the FY 2006 IRF PPS
final rule in this proposed rule also
includes the provisions effective in the
correcting amendments. For a detailed
discussion of the final key policy
changes for FY 2006, please refer to the
FY 2006 IRF PPS final rule (70 FR 47880
and 70 FR 57166).
In the FY 2007 IRF PPS final rule (71
FR 48354), we further refined the IRF
PPS case-mix classification system (the
CMG relative weights) and the caselevel adjustments, to ensure that IRF
PPS payments would continue to reflect
as accurately as possible the costs of
care. For a detailed discussion of the FY
2007 policy revisions, please refer to the
FY 2007 IRF PPS final rule (71 FR
48354).
In the FY 2008 IRF PPS final rule (72
FR 44284), we updated the federal
prospective payment rates and the
outlier threshold, revised the IRF wage
index policy, and clarified how we
determine high-cost outlier payments
for transfer cases. For more information
on the policy changes implemented for
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FY 2008, please refer to the FY 2008 IRF
PPS final rule (72 FR 44284), in which
we published the final FY 2008 IRF
federal prospective payment rates.
After publication of the FY 2008 IRF
PPS final rule (72 FR 44284), section
115 of the Medicare, Medicaid, and
SCHIP Extension Act of 2007 (Pub. L.
110–173, enacted on December 29,
2007) (MMSEA), amended section
1886(j)(3)(C) of the Act to apply a zero
percent increase factor for FYs 2008 and
2009, effective for IRF discharges
occurring on or after April 1, 2008.
Section 1886(j)(3)(C) of the Act required
the Secretary to develop an increase
factor to update the IRF federal
prospective payment rates for each FY.
Based on the legislative change to the
increase factor, we revised the FY 2008
federal prospective payment rates for
IRF discharges occurring on or after
April 1, 2008. Thus, the final FY 2008
IRF federal prospective payment rates
that were published in the FY 2008 IRF
PPS final rule (72 FR 44284) were
effective for discharges occurring on or
after October 1, 2007, and on or before
March 31, 2008; and the revised FY
2008 IRF federal prospective payment
rates were effective for discharges
occurring on or after April 1, 2008, and
on or before September 30, 2008. The
revised FY 2008 federal prospective
payment rates are available on the CMS
Web site at https://www.cms.gov/
Medicare/Medicare-Fee-for-ServicePayment/InpatientRehabFacPPS/DataFiles.html.
In the FY 2009 IRF PPS final rule (73
FR 46370), we updated the CMG relative
weights, the average length of stay
values, and the outlier threshold;
clarified IRF wage index policies
regarding the treatment of ‘‘New
England deemed’’ counties and multicampus hospitals; and revised the
regulation text in response to section
115 of the MMSEA to set the IRF
compliance percentage at 60 percent
(the ‘‘60 percent rule’’) and continue the
practice of including comorbidities in
the calculation of compliance
percentages. We also applied a zero
percent market basket increase factor for
FY 2009 in accordance with section 115
of the MMSEA. For more information on
the policy changes implemented for FY
2009, please refer to the FY 2009 IRF
PPS final rule (73 FR 46370), in which
we published the final FY 2009 IRF
federal prospective payment rates.
In the FY 2010 IRF PPS final rule (74
FR 39762) and in correcting
amendments to the FY 2010 IRF PPS
final rule (74 FR 50712) that we
published on October 1, 2009, we
updated the federal prospective
payment rates, the CMG relative
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weights, the average length of stay
values, the rural, LIP, teaching status
adjustment factors, and the outlier
threshold; implemented new IRF
coverage requirements for determining
whether an IRF claim is reasonable and
necessary; and revised the regulation
text to require IRFs to submit patient
assessments on Medicare Advantage
(MA) (Medicare Part C) patients for use
in the 60 percent rule calculations. Any
reference to the FY 2010 IRF PPS final
rule in this proposed rule also includes
the provisions effective in the correcting
amendments. For more information on
the policy changes implemented for FY
2010, please refer to the FY 2010 IRF
PPS final rule (74 FR 39762 and 74 FR
50712), in which we published the final
FY 2010 IRF federal prospective
payment rates.
After publication of the FY 2010 IRF
PPS final rule (74 FR 39762), section
3401(d) of the Patient Protection and
Affordable Care Act (Pub. L. 111–148,
enacted on March 23, 2010), as
amended by section 10319 of the same
Act and by section 1105 of the Health
Care and Education Reconciliation Act
of 2010 (Pub. L. 111–152, enacted on
March 30, 2010) (collectively, hereafter
referred to as ‘‘The Affordable Care
Act’’), amended section 1886(j)(3)(C) of
the Act and added section 1886(j)(3)(D)
of the Act. Section 1886(j)(3)(C) of the
Act requires the Secretary to estimate a
multi-factor productivity adjustment to
the market basket increase factor, and to
apply other adjustments as defined by
the Act. The productivity adjustment
applies to FYs from 2012 forward. The
other adjustments apply to FYs 2010 to
2019.
Sections 1886(j)(3)(C)(ii)(II) and
1886(j)(3)(D)(i) of the Act defined the
adjustments that were to be applied to
the market basket increase factors in
FYs 2010 and 2011. Under these
provisions, the Secretary was required
to reduce the market basket increase
factor in FY 2010 by a 0.25 percentage
point adjustment. Notwithstanding this
provision, in accordance with section
3401(p) of the Affordable Care Act, the
adjusted FY 2010 rate was only to be
applied to discharges occurring on or
after April 1, 2010. Based on the selfimplementing legislative changes to
section 1886(j)(3) of the Act, we
adjusted the FY 2010 federal
prospective payment rates as required,
and applied these rates to IRF
discharges occurring on or after April 1,
2010, and on or before September 30,
2010. Thus, the final FY 2010 IRF
federal prospective payment rates that
were published in the FY 2010 IRF PPS
final rule (74 FR 39762) were used for
discharges occurring on or after October
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1, 2009, and on or before March 31,
2010, and the adjusted FY 2010 IRF
federal prospective payment rates
applied to discharges occurring on or
after April 1, 2010, and on or before
September 30, 2010. The adjusted FY
2010 federal prospective payment rates
are available on the CMS Web site at
https://www.cms.gov/Medicare/
Medicare-Fee-for-Service-Payment/
InpatientRehabFacPPS/Data-Files.html.
In addition, sections 1886(j)(3)(C) and
(D) of the Act also affected the FY 2010
IRF outlier threshold amount because
they required an adjustment to the FY
2010 RPL market basket increase factor,
which changed the standard payment
conversion factor for FY 2010.
Specifically, the original FY 2010 IRF
outlier threshold amount was
determined based on the original
estimated FY 2010 RPL market basket
increase factor of 2.5 percent and the
standard payment conversion factor of
$13,661. However, as adjusted, the IRF
prospective payments are based on the
adjusted RPL market basket increase
factor of 2.25 percent and the revised
standard payment conversion factor of
$13,627. To maintain estimated outlier
payments for FY 2010 equal to the
established standard of 3 percent of total
estimated IRF PPS payments for FY
2010, we revised the IRF outlier
threshold amount for FY 2010 for
discharges occurring on or after April 1,
2010, and on or before September 30,
2010. The revised IRF outlier threshold
amount for FY 2010 was $10,721.
Sections 1886(j)(3)(c)(ii)(II) and
1886(j)(3)(D)(i) of the Act also required
the Secretary to reduce the market
basket increase factor in FY 2011 by a
0.25 percentage point adjustment. The
FY 2011 IRF PPS notice (75 FR 42836)
and the correcting amendments to the
FY 2011 IRF PPS notice (75 FR 70013)
described the required adjustments to
the FY 2011 and FY 2010 IRF PPS
federal prospective payment rates and
outlier threshold amount for IRF
discharges occurring on or after April 1,
2010, and on or before September 30,
2011. It also updated the FY 2011
federal prospective payment rates, the
CMG relative weights, and the average
length of stay values. Any reference to
the FY 2011 IRF PPS notice in this
proposed rule also includes the
provisions effective in the correcting
amendments. For more information on
the FY 2010 and FY 2011 adjustments
or the updates for FY 2011, please refer
to the FY 2011 IRF PPS notice (75 FR
42836 and 75 FR 70013).
In the FY 2012 IRF PPS final rule (76
FR 47836), we updated the IRF federal
prospective payment rates, rebased and
revised the RPL market basket, and
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established a new quality reporting
program for IRFs in accordance with
section 1886(j)(7) of the Act. We also
revised regulation text for the purpose
of updating and providing greater
clarity. For more information on the
policy changes implemented for FY
2012, please refer to the FY 2012 IRF
PPS final rule (76 FR 47836), in which
we published the final FY 2012 IRF
federal prospective payment rates.
The FY 2013 IRF PPS notice (77 FR
44618) described the required
adjustments to the FY 2013 federal
prospective payment rates and outlier
threshold amount for IRF discharges
occurring on or after October 1, 2012,
and on or before September 30, 2013. It
also updated the FY 2013 federal
prospective payment rates, the CMG
relative weights, and the average length
of stay values. For more information on
the updates for FY 2013, please refer to
the FY 2013 IRF PPS notice (77 FR
44618).
In the FY 2014 IRF PPS final rule (78
FR 47860), we updated the federal
prospective payment rates, the CMG
relative weights, and the outlier
threshold amount. We also updated the
facility-level adjustment factors using an
enhanced estimation methodology,
revised the list of diagnosis codes that
count toward an IRF’s ‘‘60 percent rule’’
compliance calculation to determine
‘‘presumptive compliance,’’ revised
sections of the Inpatient Rehabilitation
Facility-Patient Assessment Instrument
(IRF–PAI), revised requirements for
acute care hospitals that have IRF units,
clarified the IRF regulation text
regarding limitation of review, updated
references to previously changed
sections in the regulations text, and
revised and updated quality measures
and reporting requirements under the
IRF quality reporting program. For more
information on the policy changes
implemented for FY 2014, please refer
to the FY 2014 IRF PPS final rule (78 FR
47860), in which we published the final
FY 2014 IRF federal prospective
payment rates.
B. Provisions of the Affordable Care Act
Affecting the IRF PPS in FY 2012 and
Beyond
The Affordable Care Act included
several provisions that affect the IRF
PPS in FYs 2012 and beyond. In
addition to what was discussed above,
section 3401(d) of the Affordable Care
Act also added section
1886(j)(3)(C)(ii)(I) (providing for a
‘‘productivity adjustment’’ for fiscal
year 2012 and each subsequent fiscal
year). The proposed productivity
adjustment for FY 2015 is discussed in
section V.A. of this proposed rule.
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Section 3401(d) of the Affordable Care
Act requires an additional 0.2
percentage point adjustment to the IRF
increase factor for FY 2015, as discussed
in section V.A. of this proposed rule.
Section 1886(j)(3)(C)(ii)(II) of the Act
notes that the application of these
adjustments to the market basket update
may result in an update that is less than
0.0 for a fiscal year and in payment rates
for a fiscal year being less than such
payment rates for the preceding fiscal
year.
Section 3004(b) of the Affordable Care
Act also addressed the IRF PPS
program. It reassigned the previously
designated section 1886(j)(7) of the Act
to section 1886(j)(8) and inserted a new
section 1886(j)(7), which contains
requirements for the Secretary to
establish a quality reporting program for
IRFs. Under that program, data must be
submitted in a form and manner and at
a time specified by the Secretary.
Beginning in FY 2014, section
1886(j)(7)(A)(i) of the Act requires the
application of a 2 percentage point
reduction of the applicable market
basket increase factor for IRFs that fail
to comply with the quality data
submission requirements. Application
of the 2 percentage point reduction may
result in an update that is less than 0.0
for a fiscal year and in payment rates for
a fiscal year being less than such
payment rates for the preceding fiscal
year. Reporting-based reductions to the
market basket increase factor will not be
cumulative; they will only apply for the
FY involved.
Under section 1886(j)(7)(D)(i) and (ii)
of the Act, the Secretary is generally
required to select quality measures for
the IRF quality reporting program from
those that have been endorsed by the
consensus-based entity which holds a
performance measurement contract
under section 1890(a) of the Act. This
contract is currently held by the
National Quality Forum (NQF). So long
as due consideration is given to
measures that have been endorsed or
adopted by a consensus-based
organization, section 1886(j)(7)(D)(ii) of
the Act authorizes the Secretary to
select non-endorsed measures for
specified areas or medical topics when
there are no feasible or practical
endorsed measure(s).
Section 1886(j)(7)(E) of the Act
requires the Secretary to establish
procedures for making the IRF PPS
quality reporting data available to the
public. In so doing, the Secretary must
ensure that IRFs have the opportunity to
review any such data prior to its release
to the public. Future rulemaking will
address these public reporting
obligations.
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C. Operational Overview of the Current
IRF PPS
As described in the FY 2002 IRF PPS
final rule, upon the admission and
discharge of a Medicare Part A Fee-forService patient, the IRF is required to
complete the appropriate sections of a
patient assessment instrument (PAI),
designated as the Inpatient
Rehabilitation Facility-Patient
Assessment Instrument (IRF–PAI). In
addition, beginning with IRF discharges
occurring on or after October 1, 2009,
the IRF is also required to complete the
appropriate sections of the IRF–PAI
upon the admission and discharge of
each Medicare Part C (Medicare
Advantage) patient, as described in the
FY 2010 IRF PPS final rule. All required
data must be electronically encoded into
the IRF–PAI software product.
Generally, the software product
includes patient classification
programming called the Grouper
software. The Grouper software uses
specific IRF–PAI data elements to
classify (or group) patients into distinct
CMGs and account for the existence of
any relevant comorbidities.
The Grouper software produces a 5character CMG number. The first
character is an alphabetic character that
indicates the comorbidity tier. The last
4 characters are numeric characters that
represent the distinct CMG number.
Free downloads of the Inpatient
Rehabilitation Validation and Entry
(IRVEN) software product, including the
Grouper software, are available on the
CMS Web site at https://www.cms.gov/
Medicare/Medicare-Fee-for-ServicePayment/InpatientRehabFacPPS/
Software.html.
Once a Medicare Fee-for-Service Part
A patient is discharged, the IRF submits
a Medicare claim as a Health Insurance
Portability and Accountability Act of
1996 (Pub. L. 104–191, enacted on
August 21, 1996) (HIPAA) compliant
electronic claim or, if the
Administrative Simplification
Compliance Act of 2002 (Pub. L. 107–
105, enacted on December 27, 2002)
(ASCA) permits, a paper claim (a UB–
04 or a CMS–1450 as appropriate) using
the five-character CMG number and
sends it to the appropriate Medicare
Administrative Contractor (MAC). In
addition, once a Medicare Advantage
patient is discharged, in accordance
with the Medicare Claims Processing
Manual, chapter 3, section 20.3 (Pub.
100–04), hospitals (including IRFs) must
submit an informational-only bill (TOB
111), which includes Condition Code 04
to their Medicare contractor. This will
ensure that the Medicare Advantage
days are included in the hospital’s
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Supplemental Security Income (SSI)
ratio (used in calculating the IRF lowincome percentage adjustment) for
Fiscal Year 2007 and beyond. Claims
submitted to Medicare must comply
with both ASCA and HIPAA.
Section 3 of the ASCA amends section
1862(a) of the Act by adding paragraph
(22) which requires the Medicare
program, subject to section 1862(h) of
the Act, to deny payment under Part A
or Part B for any expenses for items or
services ‘‘for which a claim is submitted
other than in an electronic form
specified by the Secretary.’’ Section
1862(h) of the Act, in turn, provides that
the Secretary shall waive such denial in
situations in which there is no method
available for the submission of claims in
an electronic form or the entity
submitting the claim is a small provider.
In addition, the Secretary also has the
authority to waive such denial ‘‘in such
unusual cases as the Secretary finds
appropriate.’’ For more information, see
the ‘‘Medicare Program; Electronic
Submission of Medicare Claims’’ final
rule (70 FR 71008). Our instructions for
the limited number of Medicare claims
submitted on paper are available at
https://www.cms.gov/manuals/
downloads/clm104c25.pdf.
Section 3 of the ASCA operates in the
context of the administrative
simplification provisions of HIPAA,
which include, among others, the
requirements for transaction standards
and code sets codified in 45 CFR, parts
160 and 162, subparts A and I through
R (generally known as the Transactions
Rule). The Transactions Rule requires
covered entities, including covered
health care providers, to conduct
covered electronic transactions
according to the applicable transaction
standards. (See the CMS program claim
memoranda at https://www.cms.gov/
ElectronicBillingEDITrans/ and listed in
the addenda to the Medicare
Intermediary Manual, Part 3, section
3600).
The MAC processes the claim through
its software system. This software
system includes pricing programming
called the ‘‘Pricer’’ software. The Pricer
software uses the CMG number, along
with other specific claim data elements
and provider-specific data, to adjust the
IRF’s prospective payment for
interrupted stays, transfers, short stays,
and deaths, and then applies the
applicable adjustments to account for
the IRF’s wage index, percentage of lowincome patients, rural location, and
outlier payments. For discharges
occurring on or after October 1, 2005,
the IRF PPS payment also reflects the
teaching status adjustment that became
effective as of FY 2006, as discussed in
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26313
the FY 2006 IRF PPS final rule (70 FR
47880).
II. Summary of Provisions of the
Proposed Rule
In this proposed rule, we propose to
update the IRF Federal prospective
payment rates, collect data on the
amount and mode (that is, Individual,
Group, and Co-Treatment) of therapies
provided in the IRF setting according to
therapy discipline, revise the list of
impairment group codes that
presumptively meet the ‘‘60 percent
rule’’ compliance criteria, provide for a
new item on the IRF–PAI form to
indicate whether the prior treatment
and severity requirements have been
met for arthritis cases to presumptively
meet the ‘‘60 percent rule’’ compliance
criteria, and revise and update quality
measures and reporting requirements
under the IRF QRP. In this proposed
rule, we also address the
implementation of the International
Classification of Diseases, 10th
Revision, Clinical Modification (ICD–
10–CM), for the IRF prospective
payment system (PPS), effective when
ICD–10–CM becomes the required
medical data code set for use on
Medicare claims and IRF–PAI
submissions.
The proposed updates to the IRF
federal prospective payment rates for FY
2015 are as follows:
• Update the FY 2015 IRF PPS
relative weights and average length of
stay values using the most current and
complete Medicare claims and cost
report data in a budget-neutral manner,
as discussed in section III of this
proposed rule.
• Discuss our rationale for freezing
the IRF facility-level adjustment factors
at FY 2014 levels, as discussed in
section IV of this proposed rule.
• Update the FY 2015 IRF PPS
payment rates by the proposed market
basket increase factor, based upon the
most current data available, with a 0.2
percentage point reduction as required
by sections 1886(j)(3)(C)(ii)(II) and
1886(j)(3)(D)(iv) of the Act and a
proposed productivity adjustment
required by section 1886(j)(3)(C)(ii)(I) of
the Act, as described in section V of this
proposed rule.
• Discuss the Secretary’s Proposed
Recommendation for updating IRF PPS
payments for FY 2015, in accordance
with the statutory requirements, as
described in section V of this proposed
rule.
• Update the FY 2015 IRF PPS
payment rates by the FY 2015 wage
index and the labor-related share in a
budget-neutral manner, as discussed in
section V of this proposed rule.
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• Describe the calculation of the IRF
Standard Payment Conversion Factor for
FY 2015, as discussed in section V of
this proposed rule.
• Update the outlier threshold
amount for FY 2015, as discussed in
section VI of this proposed rule.
• Update the cost-to-charge ratio
(CCR) ceiling and urban/rural average
CCRs for FY 2015, as discussed in
section VI of this proposed rule.
• Describe proposed revisions to the
list of eligible diagnosis codes that are
used to determine presumptive
compliance under the 60 percent rule in
section VII of this proposed rule.
• Describe proposed revisions to the
list of eligible impairment group codes
that presumptively meet the ‘‘60 percent
rule’’ compliance criteria in section VII
of this proposed rule.
• Describe proposed data collection
of the amount and mode (that is, of
Individual, Group, and Co-Treatment) of
therapies provided in IRFs according to
occupational, speech, and physical
therapy disciplines via the IRF–PAI in
section VIII of this proposed rule.
• Describe a proposed revision to the
IRF–PAI to add a new data item for
arthritis conditions in section IX of this
proposed rule.
• Describe the conversion of the IRF
PPS to ICD–10–CM, effective when ICD–
10–CM becomes the required medical
data code set for use on Medicare claims
and IRF–PAI submissions, in section X
of this proposed rule.
• Describe proposed revisions and
updates to quality measures and
reporting requirements under the
quality reporting program for IRFs in
accordance with section 1886(j)(7) of the
Act, as discussed in section XI of this
proposed rule.
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III. Proposed Update to the Case-Mix
Group (CMG) Relative Weights and
Average Length of Stay Values for FY
2015
As specified in § 412.620(b)(1), we
calculate a relative weight for each CMG
that is proportional to the resources
needed by an average inpatient
rehabilitation case in that CMG. For
example, cases in a CMG with a relative
weight of 2, on average, will cost twice
as much as cases in a CMG with a
relative weight of 1. Relative weights
account for the variance in cost per
discharge due to the variance in
resource utilization among the payment
groups, and their use helps to ensure
that IRF PPS payments support
beneficiary access to care, as well as
provider efficiency.
In this proposed rule, we propose to
update the CMG relative weights and
average length of stay values for FY
2015. As required by statute, we always
use the most recent available data to
update the CMG relative weights and
average lengths of stay. For FY 2015, we
propose to use the FY 2013 IRF claims
and FY 2012 IRF cost report data. These
data are the most current and complete
data available at this time. Currently,
only a small portion of the FY 2013 IRF
cost report data are available for
analysis, but the majority of the FY 2013
IRF claims data are available for
analysis.
In this proposed rule, we propose to
apply these data using the same
methodologies that we have used to
update the CMG relative weights and
average length of stay values each fiscal
year since we implemented an update to
the methodology to use the more
detailed cost-to-charge ratio (CCRs) data
from the cost reports of IRF subprovider
units of primary acute care hospitals,
instead of CCR data from the associated
primary care hospitals, to calculate
IRFs’ average costs per case, as
discussed in the FY 2009 IRF PPS final
rule (73 FR 46372). In calculating the
CMG relative weights, we use a
hospital-specific relative value method
to estimate operating (routine and
ancillary services) and capital costs of
IRFs. The process used to calculate the
CMG relative weights for this proposed
rule is as follows:
Step 1. We estimate the effects that
comorbidities have on costs.
Step 2. We adjust the cost of each
Medicare discharge (case) to reflect the
effects found in the first step.
Step 3. We use the adjusted costs from
the second step to calculate CMG
relative weights, using the hospitalspecific relative value method.
Step 4. We normalize the FY 2015
CMG relative weights to the same
average CMG relative weight from the
CMG relative weights implemented in
the FY 2014 IRF PPS final rule (78 FR
47860).
Consistent with the methodology that
we have used to update the IRF
classification system in each instance in
the past, we propose to update the CMG
relative weights for FY 2015 in such a
way that total estimated aggregate
payments to IRFs for FY 2015 are the
same with or without the changes (that
is, in a budget-neutral manner) by
applying a budget neutrality factor to
the standard payment amount. To
calculate the appropriate budget
neutrality factor for use in updating the
FY 2015 CMG relative weights, we use
the following steps:
Step 1. Calculate the estimated total
amount of IRF PPS payments for FY
2015 (with no changes to the CMG
relative weights).
Step 2. Calculate the estimated total
amount of IRF PPS payments for FY
2015 by applying the changes to the
CMG relative weights (as discussed
above).
Step 3. Divide the amount calculated
in step 1 by the amount calculated in
step 2 to determine the budget
neutrality factor (1.0000) that would
maintain the same total estimated
aggregate payments in FY 2015 with and
without the changes to the CMG relative
weights.
Step 4. Apply the budget neutrality
factor (1.0000) to the FY 2014 IRF PPS
standard payment amount after the
application of the budget-neutral wage
adjustment factor.
In section V.F. of this proposed rule,
we discuss the proposed use of the
existing methodology to calculate the
standard payment conversion factor for
FY 2015.
Table 1, ‘‘Relative Weights and
Average Length of Stay Values for CaseMix Groups,’’ presents the CMGs, the
comorbidity tiers, the corresponding
relative weights, and the average length
of stay values for each CMG and tier for
FY 2015. The average length of stay for
each CMG is used to determine when an
IRF discharge meets the definition of a
short-stay transfer, which results in a
per diem case level adjustment.
TABLE 1—PROPOSED RELATIVE WEIGHTS AND AVERAGE LENGTH OF STAY VALUES FOR CASE-MIX GROUPS
CMG description
(M=motor, C=cognitive,
A=age)
CMG
0101 .......
0102 .......
0103 .......
Relative weight
Tier1
Stroke M>51.05 ...........
Stroke M>44.45 and
M<51.05 and C>18.5.
Stroke M>44.45 and
M<51.05 and C<18.5.
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Tier2
Average length of stay
Tier3
None
Tier1
Tier2
Tier3
None
0.7860
0.9836
0.7173
0.8977
0.6524
0.8165
0.6255
0.7829
9
11
10
11
8
10
8
10
1.1645
1.0627
0.9666
0.9268
12
14
12
12
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TABLE 1—PROPOSED RELATIVE WEIGHTS AND AVERAGE LENGTH OF STAY VALUES FOR CASE-MIX GROUPS—Continued
CMG description
(M=motor, C=cognitive,
A=age)
CMG
0104 .......
0105 .......
0106 .......
0107 .......
0108 .......
0109 .......
0110 .......
0201 .......
0202 .......
0203 .......
0204 .......
0205 .......
0206 .......
0207 .......
0301 .......
0302 .......
0303 .......
0304 .......
0401 .......
0402 .......
0403 .......
0404 .......
0405 .......
0501 .......
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0502 .......
0503 .......
0504 .......
0505 .......
Relative weight
Tier1
Stroke M>38.85 and
M<44.45.
Stroke M>34.25 and
M<38.85.
Stroke M>30.05 and
M<34.25.
Stroke M>26.15 and
M<30.05.
Stroke M<26.15 and
A>84.5.
Stroke M>22.35 and
M<26.15 and A<84.5.
Stroke M<22.35 and
A<84.5.
Traumatic brain injury
M>53.35 and C>23.5.
Traumatic brain injury
M>44.25 and
M<53.35 and C>23.5.
Traumatic brain injury
M>44.25 and C<23.5.
Traumatic brain injury
M>40.65 and
M<44.25.
Traumatic brain injury
M>28.75 and
M<40.65.
Traumatic brain injury
M>22.05 and
M<28.75.
Traumatic brain injury
M<22.05.
Non-traumatic brain injury M>41.05.
Non-traumatic brain injury M>35.05 and
M<41.05.
Non-traumatic brain injury M>26.15 and
M<35.05.
Non-traumatic brain injury M<26.15.
Traumatic spinal cord
injury M>48.45.
Traumatic spinal cord
injury M>30.35 and
M<48.45.
Traumatic spinal cord
injury M>16.05 and
M<30.35.
Traumatic spinal cord
injury M<16.05 and
A>63.5.
Traumatic spinal cord
injury M<16.05 and
A<63.5.
Non-traumatic spinal
cord injury M>51.35.
Non-traumatic spinal
cord injury M>40.15
and M<51.35.
Non-traumatic spinal
cord injury M>31.25
and M<40.15.
Non-traumatic spinal
cord injury M>29.25
and M<31.25.
Non-traumatic spinal
cord injury M>23.75
and M<29.25.
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Tier2
Average length of stay
Tier3
None
Tier1
Tier2
Tier3
None
1.2109
1.1051
1.0052
0.9638
13
13
12
12
1.4154
1.2917
1.1750
1.1266
14
14
14
14
1.6119
1.4710
1.3381
1.2829
16
16
15
15
1.8023
1.6448
1.4961
1.4345
17
19
17
17
2.2450
2.0488
1.8636
1.7868
22
23
21
21
2.0545
1.8749
1.7055
1.6352
19
20
19
19
2.6893
2.4542
2.2324
2.1404
28
27
24
24
0.8151
0.6688
0.6000
0.5714
10
9
8
8
1.0534
0.8644
0.7755
0.7385
12
10
9
10
1.2101
0.9930
0.8909
0.8484
13
12
12
11
1.3295
1.0909
0.9788
0.9321
12
13
12
12
1.5842
1.2999
1.1663
1.1106
14
15
14
14
1.9178
1.5737
1.4119
1.3445
19
18
16
16
2.5453
2.0885
1.8738
1.7844
32
24
21
20
1.1082
0.9337
0.8460
0.7804
10
11
10
10
1.3856
1.1674
1.0578
0.9757
13
13
12
12
1.6437
1.3849
1.2548
1.1575
16
15
14
14
2.1604
1.8202
1.6492
1.5213
23
21
18
17
1.0303
0.8804
0.8112
0.7252
12
12
10
9
1.4049
1.2005
1.1061
0.9889
15
14
14
12
2.3117
1.9754
1.8200
1.6271
26
21
20
20
4.0674
3.4756
3.2022
2.8628
55
39
33
33
3.2778
2.8009
2.5807
2.3071
26
34
29
25
0.8442
0.6777
0.6206
0.5621
9
10
9
8
1.1667
0.9367
0.8578
0.7769
11
12
10
10
1.4465
1.1613
1.0635
0.9632
15
13
13
12
1.7058
1.3695
1.2541
1.1359
17
15
15
14
1.9486
1.5644
1.4326
1.2976
20
17
17
16
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TABLE 1—PROPOSED RELATIVE WEIGHTS AND AVERAGE LENGTH OF STAY VALUES FOR CASE-MIX GROUPS—Continued
CMG description
(M=motor, C=cognitive,
A=age)
CMG
0506 .......
0601 .......
0602 .......
0603 .......
0604 .......
0701 .......
0702 .......
0703 .......
0704 .......
0801 .......
0802 .......
0803 .......
0804 .......
0805 .......
0806 .......
0901 .......
0902 .......
0903 .......
0904 .......
1001 .......
1002 .......
1003 .......
pmangrum on DSK3VPTVN1PROD with PROPOSALS2
1101 .......
1102 .......
1201 .......
1202 .......
1203 .......
1301 .......
1302 .......
Relative weight
Tier1
Non-traumatic spinal
cord injury M<23.75.
Neurological M>47.75
Neurological M>37.35
and M<47.75.
Neurological M>25.85
and M<37.35.
Neurological M<25.85
Fracture of lower extremity M>42.15.
Fracture of lower extremity M>34.15 and
M<42.15.
Fracture of lower extremity M>28.15 and
M<34.15.
Fracture of lower extremity M<28.15.
Replacement of lower
extremity joint
M>49.55.
Replacement of lower
extremity joint
M>37.05 and
M<49.55.
Replacement of lower
extremity joint
M>28.65 and
M<37.05 and A>83.5.
Replacement of lower
extremity joint
M>28.65 and
M<37.05 and A<83.5.
Replacement of lower
extremity joint
M>22.05 and
M<28.65.
Replacement of lower
extremity joint
M<22.05.
Other orthopedic
M>44.75.
Other orthopedic
M>34.35 and
M<44.75.
Other orthopedic
M>24.15 and
M<34.35.
Other orthopedic
M<24.15.
Amputation, lower extremity M>47.65.
Amputation, lower extremity M>36.25 and
M<47.65.
Amputation, lower extremity M<36.25.
Amputation, non-lower
extremity M>36.35.
Amputation, non-lower
extremity M<36.35.
Osteoarthritis M>37.65
Osteoarthritis M>30.75
and M<37.65.
Osteoarthritis M<30.75
Rheumatoid, other arthritis M>36.35.
Rheumatoid, other arthritis M>26.15 and
M<36.35.
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Tier2
Average length of stay
Tier3
None
Tier1
Tier2
Tier3
None
2.7276
2.1898
2.0054
1.8164
26
25
23
21
1.0352
1.3349
0.8161
1.0522
0.7540
0.9722
0.6868
0.8856
9
12
10
12
9
11
9
11
1.6799
1.3242
1.2235
1.1146
15
15
13
13
2.2001
0.9713
1.7343
0.8055
1.6023
0.7715
1.4597
0.7028
21
10
19
9
17
10
17
9
1.2457
1.0330
0.9894
0.9013
13
12
12
11
1.5091
1.2514
1.1986
1.0918
15
15
14
13
1.9413
1.6099
1.5419
1.4045
18
18
17
17
0.7445
0.6092
0.5625
0.5185
8
8
7
7
0.9928
0.8124
0.7502
0.6915
10
10
9
9
1.3412
1.0975
1.0134
0.9341
13
13
12
12
1.1854
0.9700
0.8957
0.8256
12
12
11
10
1.4747
1.2067
1.1142
1.0271
14
14
13
12
1.7716
1.4496
1.3386
1.2339
16
17
15
14
0.9402
0.7560
0.7057
0.6382
10
9
9
8
1.2419
0.9985
0.9321
0.8430
12
12
11
10
1.5603
1.2546
1.1711
1.0591
15
14
14
13
1.9832
1.5946
1.4885
1.3462
19
18
17
16
1.0277
0.9349
0.8076
0.7385
11
12
10
10
1.3191
1.1999
1.0365
0.9478
14
14
12
12
1.8856
1.7152
1.4816
1.3549
18
19
17
16
1.2651
1.0161
1.0058
0.8582
12
13
12
10
1.8940
1.5211
1.5058
1.2848
17
19
16
15
1.0766
1.2812
0.9493
1.1296
0.8872
1.0557
0.8243
0.9809
10
11
11
12
11
12
10
12
1.6274
1.2259
1.4349
0.9876
1.3410
0.8693
1.2459
0.8186
13
12
16
12
15
10
15
10
1.5967
1.2864
1.1323
1.0662
17
14
13
13
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TABLE 1—PROPOSED RELATIVE WEIGHTS AND AVERAGE LENGTH OF STAY VALUES FOR CASE-MIX GROUPS—Continued
CMG description
(M=motor, C=cognitive,
A=age)
CMG
1303 .......
1401 .......
1402 .......
1403 .......
1404 .......
1501 .......
1502 .......
1503 .......
1504 .......
1601 .......
1602 .......
1603 .......
1701 .......
1702 .......
1703 .......
1704 .......
1801 .......
1802 .......
1803 .......
1901 .......
1902 .......
1903 .......
2001 .......
2002 .......
pmangrum on DSK3VPTVN1PROD with PROPOSALS2
2003 .......
2004 .......
2101 .......
5001 .......
5101 .......
5102 .......
Rheumatoid, other arthritis M<26.15.
Cardiac M>48.85 .........
Cardiac M>38.55 and
M<48.85.
Cardiac M>31.15 and
M<38.55.
Cardiac M<31.15 .........
Pulmonary M>49.25 ....
Pulmonary M>39.05
and M<49.25.
Pulmonary M>29.15
and M<39.05.
Pulmonary M<29.15 ....
Pain syndrome
M>37.15.
Pain syndrome
M>26.75 and
M<37.15.
Pain syndrome
M<26.75.
Major multiple trauma
without brain or spinal cord injury
M>39.25.
Major multiple trauma
without brain or spinal cord injury
M>31.05 and
M<39.25.
Major multiple trauma
without brain or spinal cord injury
M>25.55 and
M<31.05.
Major multiple trauma
without brain or spinal cord injury
M<25.55.
Major multiple trauma
with brain or spinal
cord injury M>40.85.
Major multiple trauma
with brain or spinal
cord injury M>23.05
and M<40.85.
Major multiple trauma
with brain or spinal
cord injury M<23.05.
Guillain Barre M>35.95
Guillain Barre M>18.05
and M<35.95.
Guillain Barre M<18.05
Miscellaneous M>49.15
Miscellaneous M>38.75
and M<49.15.
Miscellaneous M>27.85
and M<38.75.
Miscellaneous M<27.85
Burns M>0 ...................
Short-stay cases,
length of stay is 3
days or fewer.
Expired, orthopedic,
length of stay is 13
days or fewer.
Expired, orthopedic,
length of stay is 14
days or more.
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Relative weight
Tier1
Tier2
Average length of stay
Tier3
None
Tier1
Tier2
Tier3
None
2.0339
1.6386
1.4424
1.3582
18
19
16
15
0.9056
1.1970
0.7331
0.9689
0.6668
0.8814
0.6050
0.7997
9
12
10
11
8
11
8
10
1.4753
1.1943
1.0863
0.9857
14
13
12
12
1.8546
0.9973
1.2978
1.5013
0.8152
1.0608
1.3656
0.7533
0.9802
1.2391
0.7276
0.9468
18
10
13
17
10
11
15
9
11
14
8
10
1.5925
1.3017
1.2028
1.1618
15
14
13
13
1.9673
0.9503
1.6081
0.8819
1.4859
0.8110
1.4352
0.7629
21
10
17
10
15
9
15
10
1.2558
1.1654
1.0717
1.0081
13
13
13
12
1.5878
1.4735
1.3549
1.2746
14
17
16
15
1.0417
0.9291
0.8579
0.7871
11
11
10
10
1.3092
1.1676
1.0782
0.9892
13
14
13
12
1.5348
1.3689
1.2640
1.1597
16
16
15
14
1.9831
1.7687
1.6333
1.4984
20
20
18
17
1.0808
0.9559
0.8116
0.7275
11
12
10
9
1.7023
1.5056
1.2782
1.1459
17
16
15
14
2.8280
2.5012
2.1235
1.9036
32
28
22
22
1.0531
1.8830
0.9468
1.6929
0.9297
1.6623
0.8892
1.5899
15
24
10
19
13
18
11
19
3.3756
0.8847
1.1882
3.0347
0.7262
0.9753
2.9799
0.6693
0.8990
2.8501
0.6110
0.8206
43
9
12
31
8
11
36
8
11
31
8
10
1.5077
1.2376
1.1407
1.0412
15
14
13
12
1.9511
1.8268
..................
1.6015
1.7144
..................
1.4761
1.5550
..................
1.3474
1.3502
0.1545
20
27
..................
18
18
..................
16
17
..................
15
16
2
..................
..................
..................
0.6809
..................
..................
..................
7
..................
..................
..................
1.5543
..................
..................
..................
16
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Federal Register / Vol. 79, No. 88 / Wednesday, May 7, 2014 / Proposed Rules
TABLE 1—PROPOSED RELATIVE WEIGHTS AND AVERAGE LENGTH OF STAY VALUES FOR CASE-MIX GROUPS—Continued
CMG description
(M=motor, C=cognitive,
A=age)
CMG
5103 .......
5104 .......
Expired, not orthopedic,
length of stay is 15
days or fewer.
Expired, not orthopedic,
length of stay is 16
days or more.
Relative weight
Tier1
Tier2
Tier3
..................
..................
..................
..................
..................
..................
Generally, updates to the CMG
relative weights result in some increases
and some decreases to the CMG relative
weight values. Table 2 shows how we
estimate that the application of the
proposed revisions for FY 2015 would
affect particular CMG relative weight
values, which would affect the overall
distribution of payments within CMGs
and tiers. Note that, because we propose
to implement the CMG relative weight
revisions in a budget-neutral manner (as
described above), total estimated
aggregate payments to IRFs for FY 2015
would not be affected as a result of the
proposed CMG relative weight
revisions. However, the proposed
revisions would affect the distribution
of payments within CMGs and tiers.
TABLE 2—DISTRIBUTIONAL EFFECTS
OF THE PROPOSED CHANGES TO
THE CMG RELATIVE WEIGHTS
(FY 2014 Values Compared with FY 2015
Values)
Number of
cases
affected
Percentage
change
Average length of stay
Percentage
of cases
affected
None
Tier2
Tier3
0.7274
..................
..................
..................
8
1.9267
..................
..................
..................
21
the ‘‘no comorbidity’’ tier. In the FY
2013 claims data, 19,867 IRF discharges
(5.2 percent of all IRF discharges) were
classified into this CMG and tier.
The largest estimated decrease in a
CMG relative weight value that would
affect the largest number of IRF cases is
a 0.9 percent decrease in the CMG
relative weight for CMG 0604—
Neurological, with a motor score less
than 25.85—in the ‘‘no comorbidity’’
tier. In the FY 2013 IRF claims data, this
change would have affected 8,737 cases
(2.3 percent of all IRF cases).
The proposed changes in the average
length of stay values for FY 2015,
compared with the FY 2014 average
length of stay values, are small and do
not show any particular trends in IRF
length of stay patterns.
We invite public comment on our
proposed update to the CMG relative
weights and average length of stay
values for FY 2015.
IV.. Proposal To Freeze the FacilityLevel Adjustment Factors at FY 2014
Levels
A. Background on Facility-Level
Adjustments
Section 1886(j)(3)(A)(v) of the Act
0
0.0
confers broad authority upon the
Secretary to adjust the per unit payment
1,096
0.3 rate ‘‘by such . . . factors as the Secretary
determines are necessary to properly
379,524
99.3
reflect variations in necessary costs of
treatment among rehabilitation
1,610
0.4 facilities.’’ For example, we adjust the
federal prospective payment amount
24
0.0 associated with a CMG to account for
facility-level characteristics such as an
As Table 2 shows, more than 99
IRF’s LIP, teaching status, and location
percent of all IRF cases are in CMGs and in a rural area, if applicable, as
tiers that we estimate would experience described in § 412.624(e).
less than a 5 percent change (either
In the FY 2010 IRF PPS final rule (74
increase or decrease) in the CMG
FR 39762), we updated the adjustment
relative weight value as a result of the
factors for calculating the rural, LIP, and
proposed revisions for FY 2015. The
teaching status adjustments based on
largest estimated increase in the
the most recent three consecutive years’
proposed CMG relative weight values
worth of IRF claims data (at that time,
that would affect the largest number of
FY 2006, FY 2007, and FY 2008) and the
IRF discharges is a 1.2 percent increase
most recent available corresponding IRF
in the CMG relative weight value for
cost report data. As discussed in the FY
CMG 0704—Fracture of lower extremity, 2010 IRF PPS proposed rule (74 FR
with a motor score less than 28.15—in
21060 through 21061), we observed
Increased by
15% or more
Increased by between 5% and
15% ...............
Changed by less
than 5% .........
Decreased by
between 5%
and 15% ........
Decreased by
15% or more
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Tier1
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None
relatively large year-to-year fluctuations
in the underlying data used to compute
the adjustment factors, especially the
teaching status adjustment factor.
Therefore, we implemented a 3-year
moving average approach to updating
the facility-level adjustment factors in
the FY 2010 IRF PPS final rule (74 FR
39762) to provide greater stability and
predictability of Medicare payments for
IRFs.
Each year, we review the major
components of the IRF PPS to maintain
and enhance the accuracy of the
payment system. For FY 2010, we
implemented a change to our
methodology that was designed to
decrease the IRF PPS volatility by using
a 3-year moving average to calculate the
facility-level adjustment factors. For FY
2011, we issued a notice to update the
payment rates, which did not include
any policy changes or changes to the
IRF facility-level adjustments. As we
found that the implementation of the 3year moving average did not fully
address year-to-year fluctuations, in the
FY 2012 IRF PPS proposed rule (76 FR
24214, 24225 through 24226), we
analyzed the effects of having used a
weighting methodology. The
methodology assigned greater weight to
some facilities than to others in the
regression analysis used to estimate the
facility-level adjustment factors. As we
found that this weighting methodology
inappropriately exaggerated the cost
differences among different types of IRF
facilities, we proposed to remove the
weighting factor from our analysis and
update the IRF facility-level adjustment
factors for FY 2012 using an unweighted
regression analysis. However, after
carefully considering all of the
comments that we received on the
proposed FY 2012 updates to the
facility-level adjustment factors, we
decided to hold the facility-level
adjustment factors at FY 2011 levels for
FY 2012 to conduct further research on
the underlying data and the best
methodology for calculating the facilitylevel adjustment factors. We based this
decision, in part, on comments we
received about the financial hardships
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that the proposed updates would create
for facilities with teaching programs and
a higher disproportionate share of lowincome patients.
B. Proposal To Freeze the Facility-Level
Adjustment Factors at FY 2014 Levels
Since the FY 2012 final rule (76 FR
47836), we have conducted further
research into the best methodology to
use to estimate the IRF facility-level
adjustment factors, to ensure that the
adjustment factors reflect as accurately
as possible the costs of providing IRF
care across the full spectrum of IRF
providers. Our recent research efforts
reflect the significant differences that
exist between the cost structures of
freestanding IRFs and the cost structures
of IRF units of acute care hospitals (and
critical access hospitals, otherwise
known as ‘‘CAHs’’). We have found that
these cost structure differences
substantially influence the estimates of
the adjustment factors. Therefore, we
believe that it is important to control for
these cost structure differences between
hospital-based and freestanding IRFs in
our regression analysis, so that these
differences do not inappropriately
influence the adjustment factor
estimates. In Medicare’s payment
system for the treatment of end-stage
renal disease (ESRD), we already control
for the cost structure differences
between hospital-based and
freestanding facilities in the regression
analyses that are used to set payment
rates. Also, we received comments from
an IRF industry association on the FY
2012 IRF PPS proposed rule suggesting
that the addition of this particular
control variable to the model could
improve the methodology for estimating
the IRF facility-level adjustment factors.
Thus, in the FY 2014 IRF PPS
proposed rule, we proposed to add an
indicator variable to our 3-year moving
average methodology for updating the
IRF facility-level adjustments that
would have an assigned value of ‘‘1’’ if
the facility is a freestanding IRF hospital
or would have an assigned value of ‘‘0’’
if the facility is an IRF unit of an acute
care hospital (or CAH). Adding this
variable to the regression analysis
enables us to control for the differences
in costs that are primarily due to the
differences in cost structures between
freestanding and hospital-based IRFs, so
that those differences do not become
inappropriately intertwined with our
estimates of the differences in costs
between rural and urban facilities, highLIP percentage and low-LIP percentage
facilities, and teaching and non-teaching
facilities. Further, by including this
variable in the regression analysis, we
greatly improve our ability to predict an
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IRF’s average cost per case (that is, the
R-squared of the regression model
increases from about 11 percent to about
41 percent). In this way, it enhances the
precision with which we can estimate
the IRF facility-level adjustments.
In the FY 2014 IRF PPS final rule (78
FR 47860), we finalized our decision to
add an indicator variable for a facility’s
freestanding/hospital-based status to the
payment regression, and, with that
change, to update the IRF facility-level
adjustment factors for FY 2014 using the
same methodology, with the exception
of adding the indicator variable, that we
used in updating the FY 2010 IRF
facility-level adjustment factors,
including the 3-year moving average
approach. Thus, in the FY 2014 IRF PPS
final rule, we finalized a rural
adjustment of 14.9 percent, a LIP
adjustment factor of 0.3177, and a
teaching status adjustment factor of
1.0163 for FY 2014.
Based on the substantive changes to
the facility-level adjustment factors that
were adopted in the FY 2014 final rule,
we propose to freeze the facility-level
adjustment factors for FY 2015 and all
subsequent years at the FY 2014 levels
while we continue to monitor the most
current IRF claims data available and
evaluate the effects of the FY 2014
changes. Additionally, we want to allow
providers time to acclimate to the FY
2014 changes. At such future time as
our data analysis may indicate the need
for further updates to the facility-level
adjustment factors, we would propose to
update the adjustment factors through
notice and comment rulemaking.
We invite public comment on our
proposal to freeze the facility-level
adjustment factors at FY 2014 levels for
FY 2015 and all subsequent years
(unless and until we propose to update
them again through future notice and
comment rulemaking).
V. Proposed FY 2015 IRF PPS Federal
Prospective Payment Rates
A. Proposed Market Basket Increase
Factor, Productivity Adjustment, and
Other Adjustment for FY 2015
Section 1886(j)(3)(C) of the Act
requires the Secretary to establish an
increase factor that reflects changes over
time in the prices of an appropriate mix
of goods and services included in the
covered IRF services, which is referred
to as a market basket index. According
to section 1886(j)(3)(A)(i) of the Act, the
increase factor shall be used to update
the IRF federal prospective payment
rates for each FY. Sections
1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(iv)
of the Act required the application of a
0.2 percentage point reduction to the
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26319
market basket increase factor for FY
2015. In addition, section
1886(j)(3)(C)(ii)(I) of the Act requires the
application of a productivity
adjustment, as described below. Thus,
in this proposed rule, we propose to
update the IRF PPS payments for FY
2015 by a market basket increase factor
based upon the most current data
available, with a productivity
adjustment as required by section
1886(j)(3)(C)(ii)(I) of the Act as
described below and a 0.2 percentage
point reduction as required by sections
1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(iv)
of the Act.
For this proposed rule, we propose to
use the same methodology described in
the FY 2012 IRF PPS final rule (76 FR
47836 at 47848 through 47863) to
compute the FY 2015 market basket
increase factor and labor-related share.
In that final rule, we described the
market basket (referred to as the RPL
market basket) as reflecting a FY 2008
base year. Based on IHS Global Insight’s
first quarter 2014 forecast, the most
recent estimate of the 2008-based RPL
market basket increase factor for FY
2015 is 2.7 percent. IHS Global Insight
(IGI) is an economic and financial
forecasting firm that contracts with CMS
to forecast the components of providers’
market baskets.
In accordance with section
1886(j)(3)(C)(ii)(I) of the Act, and using
the methodology described in the FY
2012 IRF PPS final rule (76 FR 47836,
47858 through 47859), we propose to
apply a productivity adjustment to the
FY 2015 RPL market basket increase
factor. The statute defines the
productivity adjustment to be equal to
the 10-year moving average of changes
in annual economy-wide private
nonfarm business multifactor
productivity (MFP) (as projected by the
Secretary for the 10-year period ending
with the applicable FY cost reporting
period, or other annual period) (the
‘‘MFP adjustment’’). The Bureau of
Labor Statistics (BLS) is the agency that
publishes the official measure of private
nonfarm business MFP. We refer readers
to the BLS Web site at https://
www.bls.gov/mfp to obtain the historical
BLS-published MFP data. The
projection of MFP is currently produced
by IGI, using the methodology described
in the FY 2012 IRF PPS final rule (76
FR 47836, 47859). The most recent
estimate of the MFP adjustment for FY
2015 (the 10-year moving average of
MFP for the period ending FY 2015) is
0.4 percent, which was calculated using
the methodology described in the FY
2012 IRF PPS final rule (76 FR 47836,
47858 through 47859) and is based on
IGI’s first quarter 2014 forecast.
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pmangrum on DSK3VPTVN1PROD with PROPOSALS2
Thus, in accordance with section
1886(j)(3)(C) of the Act, we propose to
base the FY 2015 market basket update,
which is used to determine the
applicable percentage increase for the
IRF payments, on the most recent
estimate of the FY 2008-based RPL
market basket (currently estimated to be
2.7 percent based on IGI’s first quarter
2014 forecast). We propose to then
reduce this percentage increase by the
current estimate of the MFP adjustment
for FY 2015 of 0.4 percentage point (the
10-year moving average of MFP for the
period ending FY 2015 based on IGI’s
first quarter 2014 forecast), which was
calculated as described in the FY 2012
IRF PPS final rule (76 FR 47836, 47859).
Following application of the MFP, we
propose to further reduce the applicable
percentage increase by 0.2 percentage
point, as required by sections
1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(iv)
of the Act. Therefore, the current
estimate of the proposed FY 2015 IRF
update is 2.1 percent (2.7 percent
market basket update, less 0.4
percentage point MFP adjustment, less
0.2 percentage point legislative
adjustment). Furthermore, we also
propose that if more recent data are
subsequently available (for example, a
more recent estimate of the market
basket and MFP adjustment), we would
use such data, if appropriate, to
determine the FY 2015 market basket
update and MFP adjustment in the final
rule.
We invite public comment on these
proposals.
B. Development of an IRF-Specific
Market Basket
In the FY 2010 IRF PPS proposed rule
(74 FR 21062), we expressed our interest
in exploring the possibility of creating a
stand-alone, or IRF-specific, market
basket that reflects the cost structures of
only IRF providers. We noted that, of
the available options, one would be to
join the Medicare cost report data from
freestanding IRF providers with data
from hospital-based IRF providers. We
indicated that an examination of the
Medicare cost report data comparing
freestanding and hospital-based IRFs
revealed considerable differences
between the two for cost levels and cost
structures. At that time, we stated that
we were unable to fully explain the
differences in costs between
freestanding and hospital-based IRFs
and solicited comments regarding our
findings. We summarized and
responded to several public comments
we received on the potential creation of
a stand-alone IRF market basket in the
FY 2010 IRF final rule (74 FR 39776
through 39778). At that time, we stated
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the need for further research regarding
the differences in cost levels and cost
structures between freestanding IRFs
and hospital-based IRFs.
Since the FY 2010 IRF PPS final rule
was published, we have made
significant progress on the development
of a stand-alone, or IRF-specific, market
basket. Our research has focused on
addressing several concerns regarding
the use of the hospital-based IRF
Medicare cost report data in the
calculation of the major market basket
cost weights. As discussed above, one
concern is the cost level differences for
hospital-based IRFs relative to
freestanding IRFs that were not readily
explained by the specific characteristics
of the individual providers and the
patients that they serve (for example,
characteristics related to case mix,
urban/rural status, teaching status).
Furthermore, we are concerned about
the variability in the cost report data
among these hospital-based IRF
providers and the potential impact on
the market basket cost weights. These
concerns led us to consider whether it
is appropriate to use the universe of IRF
providers to derive an IRF-specific
market basket.
Recently, we have investigated the
use of regression analysis to evaluate the
effect of including hospital-based IRF
Medicare cost report data in the
calculation of cost distributions. We
created preliminary regression models
to try to explain variations in costs per
discharge across both freestanding and
hospital-based IRFs. These models were
intended to capture the effects of
facility-level and patient-level
characteristics (for example, wage
index, urban/rural status, ownership
status, length-of-stay, occupancy rate,
case mix, and Medicare utilization) on
IRF costs per discharge. Using the
results from the preliminary regression
analyses, we identified smaller subsets
of hospital-based and freestanding IRF
providers where the predicted costs per
discharge using the regression model
closely matched the actual costs per
discharge for each IRF. We then derived
different sets of cost distributions using
(1) these subsets of IRF providers and
(2) the entire universe of freestanding
and hospital-based IRF providers
(including those IRFs for which the
variability in cost levels remains
unexplained). After comparing these
sets of cost distributions, the differences
were not substantial enough for us to
conclude that the inclusion of those IRF
providers with unexplained variability
in costs in the calculation of the cost
distributions is a major cause of
concern.
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Another concern with incorporating
the hospital-based IRF data in the
derivation of an IRF-specific market
basket is the complexity of the Medicare
cost report data for these providers. The
freestanding IRFs independently submit
a Medicare cost report for their
facilities, making it relatively
straightforward to obtain the cost
categories necessary to determine the
major market basket cost weights.
However, cost report data submitted for
a hospital-based IRF are embedded in
the Medicare cost report submitted for
the entire hospital facility in which the
IRF is located. Therefore, adjustments
would have to be made to obtain cost
weights that represent just the hospitalbased IRF (as opposed to the hospital as
a whole). For example, ancillary costs
for services such as therapy, radiology,
and laboratory services for the entire
hospital would need to be appropriately
converted to a value that only represents
the hospital-based IRF unit’s costs. The
preliminary method we have developed
to allocate these costs is complex and
still needs to be fully evaluated before
we are ready to propose an IRF-specific
market basket that would reflect both
hospital-based and freestanding IRF
data.
In our ongoing research, we are also
evaluating the differences in salary costs
as a percent of total costs for both
hospital-based and freestanding IRFs.
Salary costs are historically the largest
component of the market baskets. Based
on our review of the data reported on
the applicable Medicare cost reports,
our initial findings (using the
preliminary allocation method as
discussed above) have shown that the
hospital-based IRF salary costs as a
percent of total costs tend to be lower
than those of freestanding IRFs. We are
still evaluating the method for deriving
salary costs as a percent of total costs,
and one of the main issues is to further
investigate the percentage of ancillary
costs that should be appropriately
allocated to the IRF salary costs for the
hospital-based IRF, as discussed above.
Also, as stated in the FY 2012 IRF PPS
final rule (76 FR 47836, 47851), effective
for cost reports beginning on or after
May 1, 2010, we finalized a revised
Hospital and Hospital Health Care
Complex Cost Report, Form CMS 2552–
10 (74 FR 31738). The report is available
for download from the CMS Web site at
https://www.cms.gov/Research-StatisticsData-and-Systems/Files-for-Order/
CostReports/Hospital-2010-form.html.
The revised Hospital and Hospital
Health Care Complex Cost Report
includes a new worksheet (Worksheet
S–3, part V) that identifies the contract
labor costs and benefit costs for the
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such data, if appropriate, to determine
the FY 2015 labor-related share in the
final rule.
C. Secretary’s Proposed
Recommendation
For FY 2015, the Medicare Payment
Advisory Commission (MedPAC)
recommends that a 0 percent update be
applied to IRF PPS payment rates. As
discussed above, and in accordance
with sections 1886(j)(3)(C) and
1886(j)(3)(D) of the Act, the Secretary
proposes to update IRF PPS payment
rates for FY 2015 by an adjusted market
basket increase factor of 2.1 percent, as
section 1886(j)(3)(C) of the Act does not
provide the Secretary with the authority
to apply a different update factor to IRF
PPS payment rates for FY 2015.
We invite public comment on the
Secretary’s proposed recommendation.
pmangrum on DSK3VPTVN1PROD with PROPOSALS2
hospital/hospital care complex, is
applicable to sub-providers and units.
As we gain access to the data reported
by IRFs on this new form, we plan to
evaluate the appropriateness of using
these data to derive benefits and
contract labor cost weights for the
market basket instead of the data and
methods currently used for the RPL
market basket. This includes comparing
these data with costs submitted on the
other forms composing the Medicare
cost report.
For the reasons discussed above,
while we believe we have made
significant progress on the development
of an IRF-specific market basket, we
believe that further research is required
at this time. As a result, we are not
proposing an IRF-specific market basket
for FY 2015. We plan to complete our
research during the remainder of this
year and, provided that we are prepared
to draw conclusions from our research,
may propose an IRF-specific market
basket for the FY 2016 rulemaking
cycle. We welcome public comments on
the initial findings discussed above.
Source: IHS Global Insight, Inc. First quarter
2014 forecast; Historical Data through 4th
quarter 2013.
D. Proposed Labor-Related Share for FY
2015
We propose to update the laborrelated share for FY 2015 using the
methodology described in the FY 2012
IRF PPS final rule (76 FR 47836, 47860
through 47863). Using this method and
IGI’s first quarter 2014 forecast of the
2008-based RPL market basket, the
proposed IRF labor-related share for FY
2015 is the sum of the FY 2015 relative
importance of each labor-related cost
category. This figure reflects the
different rates of price change for these
cost categories between the base year
(FY 2008) and FY 2015. As shown in
Table 3, the proposed FY 2015 laborrelated share is 69.538 percent. We
propose that if a more recent estimate of
the FY 2015 labor-related share is
subsequently available, we would use
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TABLE 3—PROPOSED FY 2015 IRF
RPL LABOR-RELATED SHARE RELATIVE IMPORTANCE
Proposed
FY 2015
relative
importance
labor-related
share
Wages and Salaries .................
Employee Benefits ....................
Professional Fees: Labor-Related ......................................
Administrative and Business ....
Support Services ......................
All Other: Labor-Related Services ........................................
48.409
13.016
Subtotal .............................
65.977
Labor-Related Portion of Capital Costs (.46) .......................
3.561
Total Labor-Related
Share ......................
69.538
2.065
0.417
2.070
We invite public comment on the
proposed IRF labor-related share for FY
2015.
E. Proposed Wage Adjustment
Section 1886(j)(6) of the Act requires
the Secretary to adjust the proportion of
rehabilitation 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
hospital wage level in the geographic
area of the rehabilitation facility
compared to the national average wage
level for those facilities. The Secretary
is required to update the IRF PPS wage
index on the basis of information
available to the Secretary on the wages
and wage-related costs to furnish
rehabilitation services. Any adjustment
or updates made under section
1886(j)(6) of the Act for a FY are made
in a budget-neutral manner.
For FY 2015, we propose to maintain
the policies and methodologies
described in the FY 2012 IRF PPS final
rule (76 FR 47836, at 47863 through
47865) related to the labor market area
definitions and the wage index
methodology for areas with wage data.
Thus, we propose to use the CBSA labor
market area definitions and the FY 2014
pre-reclassification and pre-floor
hospital wage index data. In accordance
with section 1886(d)(3)(E) of the Act,
the FY 2014 pre-reclassification and
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26321
pre-floor hospital wage index is based
on data submitted for hospital cost
reporting periods beginning on or after
October 1, 2009, and before October 1,
2010 (that is, FY 2010 cost report data).
The labor market designations made
by the OMB include some geographic
areas where there are no hospitals and,
thus, no hospital wage index data on
which to base the calculation of the IRF
PPS wage index. We propose to
continue to use the same methodology
discussed in the FY 2008 IRF PPS final
rule (72 FR 44299) to address those
geographic areas where there are no
hospitals and, thus, no hospital wage
index data on which to base the
calculation for the FY 2015 IRF PPS
wage index.
In accordance with our established
methodology, we have historically
adopted any CBSA changes that are
published in the OMB bulletin that
corresponds with the hospital wage data
used to determine the IRF PPS wage
index. The OMB bulletins are available
at https://www.whitehouse.gov/omb/
bulletins/.
In keeping with the established IRF
PPS wage index policy, we propose to
use the prior year’s (FY 2014) pre-floor,
pre-reclassified hospital wage index
data to derive the FY 2015 applicable
IRF PPS wage index. We anticipate
using the FY 2014 pre-floor, prereclassified hospital wage index data to
derive the applicable IRF PPS wage
index for FY 2015. We note, however,
that the FY 2014 pre-floor, prereclassified hospital wage index does
not use OMB’s new 2010 Census-based
area delineations, which were outlined
in the February 28, 2013, OMB Bulletin
13–01, as we did not receive these
changes in time to incorporate them into
the FY 2014 hospital wage index. We
therefore intend to consider the
incorporation of these CBSA changes
during the development of the FY 2015
hospital wage index. Assuming that we
would continue to follow our
established methodology for the IRF
PPS wage index, this means that the
2010 Census-based CBSA changes
would not be considered for inclusion
in the IRF PPS wage index until FY
2016.
To calculate the wage-adjusted facility
payment for the payment rates set forth
in this proposed rule, we multiply the
unadjusted Federal payment rate for
IRFs by the FY 2015 labor-related share
based on the FY 2008-based RPL market
basket (69.538 percent) to determine the
labor-related portion of the standard
payment amount. We then multiply the
labor-related portion by the applicable
IRF wage index from the tables in the
addendum to this proposed rule. These
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tables are available through the Internet
on the CMS Web site at https://
www.cms.hhs.gov/Medicare/MedicareFee-for-Service-Payment/
InpatientRehabFacPPS/. Table A is for
urban areas, and Table B is for rural
areas.
Adjustments or updates to the IRF
wage index made under section
1886(j)(6) of the Act must be made in a
budget-neutral manner. We calculate a
proposed budget-neutral wage
adjustment factor as established in the
FY 2004 IRF PPS final rule (68 FR
45689), codified at § 412.624(e)(1), as
described in the steps below. We use the
listed steps to ensure that the proposed
FY 2015 IRF standard payment
conversion factor reflects the update to
the wage indexes (based on the FY 2010
hospital cost report data) and the
proposed labor-related share in a
budget-neutral manner:
Step 1. Determine the total amount of
the estimated FY 2014 IRF PPS rates,
using the FY 2014 standard payment
conversion factor and the labor-related
share and the wage indexes from FY
2014 (as published in the FY 2014 IRF
PPS final rule (78 FR 47860)).
Step 2. Calculate the total amount of
estimated IRF PPS payments using the
FY 2015 standard payment conversion
factor and the proposed FY 2015 laborrelated share and CBSA urban and rural
wage indexes.
Step 3. Divide the amount calculated
in step 1 by the amount calculated in
step 2. The resulting quotient is the FY
2015 budget-neutral wage adjustment
factor of 1.0018.
Step 4. Apply the FY 2015 budgetneutral wage adjustment factor from
step 3 to the FY 2014 IRF PPS standard
payment conversion factor after the
application of the adjusted market
basket update to determine the FY 2015
standard payment conversion factor.
We discuss the calculation of the
proposed standard payment conversion
factor for FY 2015 in section V.F. of this
proposed rule.
We invite public comment on the
proposed IRF wage adjustment for FY
2015.
F. Description of the Proposed IRF
Standard Conversion Factor and
Payment Rates for FY 2015
To calculate the proposed standard
payment conversion factor for FY 2015,
as illustrated in Table 4, we begin by
applying the proposed adjusted market
basket increase factor for FY 2015 that
was adjusted in accordance with
sections 1886(j)(3)(C) and (D) of the Act,
to the standard payment conversion
factor for FY 2014 ($14,846). Applying
the proposed 2.1 percent adjusted
market basket increase factor for FY
2015 to the standard payment
conversion factor for FY 2014 of $14,846
yields a standard payment amount of
$15,158. Then, we apply the proposed
budget neutrality factor for the FY 2015
wage index and labor-related share of
1.0018, which results in a standard
payment amount of $15,185. We next
apply the proposed budget neutrality
factors for the revised CMG relative
weights of 1.0000, which results in the
proposed standard payment conversion
factor of $15,185 for FY 2015.
TABLE 4—CALCULATIONS TO DETERMINE THE PROPOSED FY 2015
STANDARD PAYMENT CONVERSION
FACTOR
Explanation for adjustment
Standard Payment Conversion Factor for FY 2014 ....
Market Basket Increase Factor for FY 2015 (2.7 percent), reduced by a 0.4
percentage point reduction
for the productivity adjustment as required by section 1886(j)(3)(C)(ii)(I) of
the Act, and reduced by
0.2 percentage points in
accordance with paragraphs 1886(j)(3)(C) and
(D) of the Act ....................
Budget Neutrality Factor for
the Wage Index and
Labor-Related Share .........
Budget Neutrality Factor for
the Revisions to the CMG
Relative Weights ...............
Proposed FY 2015 Standard
Payment Conversion Factor ......................................
Calculations
$14,846
×
1.0210
× 1.0018
×
=
1.0000
$15,185
We invite public comment on the
proposed FY 2015 standard payment
conversion factor.
After the application of the proposed
CMG relative weights described in
Section III of this proposed rule, to the
proposed FY 2015 standard payment
conversion factor ($15,185), the
resulting proposed unadjusted IRF
prospective payment rates for FY 2015
are shown in Table 5.
TABLE 5—PROPOSED FY 2015 PAYMENT RATES
Payment rate
Tier 1
pmangrum on DSK3VPTVN1PROD with PROPOSALS2
CMG
0101
0102
0103
0104
0105
0106
0107
0108
0109
0110
0201
0202
0203
0204
0205
0206
0207
0301
0302
0303
0304
0401
0402
0403
.................................................................................................
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Payment rate
Tier 2
$11,935.41
14,935.97
17,682.93
18,387.52
21,492.85
24,476.70
27,367.93
34,090.33
31,197.58
40,837.02
12,377.29
15,995.88
18,375.37
20,188.46
24,056.08
29,121.79
38,650.38
16,828.02
21,040.34
24,959.58
32,805.67
15,645.11
21,333.41
35,103.16
Sfmt 4702
Payment rate
Tier 3
$10,892.20
13,631.57
16,137.10
16,780.94
19,614.46
22,337.14
24,976.29
31,111.03
28,470.36
37,267.03
10,155.73
13,125.91
15,078.71
16,565.32
19,738.98
23,896.63
31,713.87
14,178.23
17,726.97
21,029.71
27,639.74
13,368.87
18,229.59
29,996.45
E:\FR\FM\07MYP2.SGM
$9,906.69
12,398.55
14,677.82
15,263.96
17,842.38
20,319.05
22,718.28
28,298.77
25,898.02
33,898.99
9,111.00
11,775.97
13,528.32
14,863.08
17,710.27
21,439.70
28,453.65
12,846.51
16,062.69
19,054.14
25,043.10
12,318.07
16,796.13
27,636.70
07MYP2
Payment rate no
comorbidity
$9,498.22
11,888.34
14,073.46
14,635.30
17,107.42
19,480.84
21,782.88
27,132.56
24,830.51
32,501.97
8,676.71
11,214.12
12,882.95
14,153.94
16,864.46
20,416.23
27,096.11
11,850.37
14,816.00
17,576.64
23,100.94
11,012.16
15,016.45
24,707.51
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26323
TABLE 5—PROPOSED FY 2015 PAYMENT RATES—Continued
Payment rate
Tier 1
pmangrum on DSK3VPTVN1PROD with PROPOSALS2
CMG
0404
0405
0501
0502
0503
0504
0505
0506
0601
0602
0603
0604
0701
0702
0703
0704
0801
0802
0803
0804
0805
0806
0901
0902
0903
0904
1001
1002
1003
1101
1102
1201
1202
1203
1301
1302
1303
1401
1402
1403
1404
1501
1502
1503
1504
1601
1602
1603
1701
1702
1703
1704
1801
1802
1803
1901
1902
1903
2001
2002
2003
2004
2101
5001
5101
5102
5103
5104
.................................................................................................
.................................................................................................
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Payment rate
Tier 2
61,763.47
49,773.39
12,819.18
17,716.34
21,965.10
25,902.57
29,589.49
41,418.61
15,719.51
20,270.46
25,509.28
33,408.52
14,749.19
18,915.95
22,915.68
29,478.64
11,305.23
15,075.67
20,366.12
18,000.30
22,393.32
26,901.75
14,276.94
18,858.25
23,693.16
30,114.89
15,605.62
20,030.53
28,632.84
19,210.54
28,760.39
16,348.17
19,455.02
24,712.07
18,615.29
24,245.89
30,884.77
13,751.54
18,176.45
22,402.43
28,162.10
15,144.00
19,707.09
24,182.11
29,873.45
14,430.31
19,069.32
24,110.74
15,818.21
19,880.20
23,305.94
30,113.37
16,411.95
25,849.43
42,943.18
15,991.32
28,593.36
51,258.49
13,434.17
18,042.82
22,894.42
29,627.45
27,739.96
Sfmt 4702
Payment rate
Tier 3
52,776.99
42,531.67
10,290.87
14,223.79
17,634.34
20,795.86
23,755.41
33,252.11
12,392.48
15,977.66
20,107.98
26,335.35
12,231.52
15,686.11
19,002.51
24,446.33
9,250.70
12,336.29
16,665.54
14,729.45
18,323.74
22,012.18
11,479.86
15,162.22
19,051.10
24,214.00
14,196.46
18,220.48
26,045.31
15,429.48
23,097.90
14,415.12
17,152.98
21,788.96
14,996.71
19,533.98
24,882.14
11,132.12
14,712.75
18,135.45
22,797.24
12,378.81
16,108.25
19,766.31
24,419.00
13,391.65
17,696.60
22,375.10
14,108.38
17,730.01
20,786.75
26,857.71
14,515.34
22,862.54
37,980.72
14,377.16
25,706.69
46,081.92
11,027.35
14,809.93
18,792.96
24,318.78
26,033.16
E:\FR\FM\07MYP2.SGM
48,625.41
39,187.93
9,423.81
13,025.69
16,149.25
19,043.51
21,754.03
30,452.00
11,449.49
14,762.86
18,578.85
24,330.93
11,715.23
15,024.04
18,200.74
23,413.75
8,541.56
11,391.79
15,388.48
13,601.20
16,919.13
20,326.64
10,716.05
14,153.94
17,783.15
22,602.87
12,263.41
15,739.25
22,498.10
15,273.07
22,865.57
13,472.13
16,030.80
20,363.09
13,200.32
17,193.98
21,902.84
10,125.36
13,384.06
16,495.47
20,736.64
11,438.86
14,884.34
18,264.52
22,563.39
12,315.04
16,273.76
20,574.16
13,027.21
16,372.47
19,193.84
24,801.66
12,324.15
19,409.47
32,245.35
14,117.49
25,242.03
45,249.78
10,163.32
13,651.32
17,321.53
22,414.58
23,612.68
07MYP2
Payment rate no
comorbidity
43,471.62
35,033.31
8,535.49
11,797.23
14,626.19
17,248.64
19,704.06
27,582.03
10,429.06
13,447.84
16,925.20
22,165.54
10,672.02
13,686.24
16,578.98
21,327.33
7,873.42
10,500.43
14,184.31
12,536.74
15,596.51
18,736.77
9,691.07
12,800.96
16,082.43
20,442.05
11,214.12
14,392.34
20,574.16
13,031.77
19,509.69
12,517.00
14,894.97
18,918.99
12,430.44
16,190.25
20,624.27
9,186.93
12,143.44
14,967.85
18,815.73
11,048.61
14,377.16
17,641.93
21,793.51
11,584.64
15,308.00
19,354.80
11,952.11
15,021.00
17,610.04
22,753.20
11,047.09
17,400.49
28,906.17
13,502.50
24,142.63
43,278.77
9,278.04
12,460.81
15,810.62
20,460.27
20,502.79
2,346.08
10,339.47
23,602.05
11,045.57
29,256.94
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G. Example of the Methodology for
Adjusting the Proposed Federal
Prospective Payment Rates
Table 6 illustrates the methodology
for adjusting the proposed federal
prospective payments (as described in
sections V.A. through V.F. of this
proposed rule). The following examples
are based on two hypothetical Medicare
beneficiaries, both classified into CMG
0110 (without comorbidities). The
proposed unadjusted federal
prospective payment rate for CMG 0110
(without comorbidities) appears in
Table 6.
Example: One beneficiary is in
Facility A, an IRF located in rural
Spencer County, Indiana, and another
beneficiary is in Facility B, an IRF
located in urban Harrison County,
Indiana. Facility A, a rural non-teaching
hospital has a Disproportionate Share
Hospital (DSH) percentage of 5 percent
(which would result in a LIP adjustment
of 1.0156), a wage index of 0.8513, and
a rural adjustment of 14.9 percent.
Facility B, an urban teaching hospital,
has a DSH percentage of 15 percent
(which would result in a LIP adjustment
of 1.0454 percent), a wage index of
0.8852, and a teaching status adjustment
of 0.0784.
To calculate each IRF’s labor and nonlabor portion of the Federal prospective
payment, we begin by taking the
unadjusted Federal prospective
payment rate for CMG 0110 (without
comorbidities) from Table 5. Then, we
multiply the proposed labor-related
share for FY 2015 (69.538 percent)
described in section V.D. of this
proposed rule by the proposed
unadjusted federal prospective payment
rate. To determine the non-labor portion
of the proposed federal prospective
payment rate, we subtract the labor
portion of the proposed federal payment
from the proposed unadjusted federal
prospective payment.
To compute the proposed wageadjusted federal prospective payment,
we multiply the labor portion of the
proposed federal payment by the
appropriate wage index found in tables
A and B. These tables are available
through the Internet on the CMS Web
site at https://www.cms.hhs.gov/
Medicare/Medicare-Fee-for-ServicePayment/InpatientRehabFacPPS/. The
resulting figure is the wage-adjusted
labor amount. Next, we compute the
proposed wage-adjusted federal
payment by adding the wage-adjusted
labor amount to the non-labor portion.
Adjusting the proposed wage-adjusted
federal payment by the facility-level
adjustments involves several steps.
First, we take the wage-adjusted Federal
prospective payment and multiply it by
the appropriate rural and LIP
adjustments (if applicable). Second, to
determine the appropriate amount of
additional payment for the teaching
status adjustment (if applicable), we
multiply the teaching status adjustment
(0.0784, in this example) by the wageadjusted and rural-adjusted amount (if
applicable). Finally, we add the
additional teaching status payments (if
applicable) to the wage, rural, and LIPadjusted federal prospective payment
rates. Table 6 illustrates the components
of the adjusted payment calculation.
TABLE 6—EXAMPLE OF COMPUTING THE IRF FY 2015 FEDERAL PROSPECTIVE PAYMENT
Step
1 .............
2 .............
3 .............
4 .............
5 .............
6 .............
7 .............
8 .............
9 .............
10 ...........
11 ...........
12 ...........
13 ...........
14 ...........
15 ...........
16 ...........
Rural facility A
(Spencer Co., IN)
Unadjusted Federal Prospective Payment ..........................................................................
Labor Share .........................................................................................................................
Labor Portion of Federal Payment .......................................................................................
CBSA-Based Wage Index (shown in the Addendum, Tables 1 and 2) ..............................
Wage-Adjusted Amount .......................................................................................................
Non-Labor Amount ...............................................................................................................
Wage-Adjusted Federal Payment ........................................................................................
Rural Adjustment ..................................................................................................................
Wage- and Rural-Adjusted Federal Payment ......................................................................
LIP Adjustment .....................................................................................................................
FY 2015 Wage-, Rural- and LIP-Adjusted Federal Prospective Payment Rate .................
FY 2015 Wage- and Rural-Adjusted Federal Prospective Payment ...................................
Teaching Status Adjustment ................................................................................................
Teaching Status Adjustment Amount ..................................................................................
FY 2015 Wage-, Rural-, and LIP-Adjusted Federal Prospective Payment Rate ................
Total FY 2015 Adjusted Federal Prospective Payment ......................................................
Thus, the proposed adjusted payment
for Facility A would be $34,005.54, and
the proposed adjusted payment for
Facility B would be $33,609.88.
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VI. Proposed Update to Payments for
High-Cost Outliers under the IRF PPS
A. Proposed Update to the Outlier
Threshold Amount for FY 2015
Section 1886(j)(4) of the Act provides
the Secretary with the authority to make
payments in addition to the basic IRF
prospective payments for cases
incurring extraordinarily high costs. A
case qualifies for an outlier payment if
the estimated cost of the case exceeds
the adjusted outlier threshold. We
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calculate the adjusted outlier threshold
by adding the IRF PPS payment for the
case (that is, the CMG payment adjusted
by all of the relevant facility-level
adjustments) and the adjusted threshold
amount (also adjusted by all of the
relevant facility-level adjustments).
Then, we calculate the estimated cost of
a case by multiplying the IRF’s overall
CCR by the Medicare allowable covered
charge. If the estimated cost of the case
is higher than the adjusted outlier
threshold, we make an outlier payment
for the case equal to 80 percent of the
difference between the estimated cost of
the case and the outlier threshold.
In the FY 2002 IRF PPS final rule (66
FR 41362 through 41363), we discussed
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....
×
=
×
=
+
=
×
=
×
=
....
×
=
+
=
$32,501.97
0.69538
$22,601.22
0.8513
$19,240.42
$9,900.75
$29,141.17
1.149
$33,483.20
1.0156
$34,005.54
$33,483.20
0
$0.00
$34,005.54
$34,005.54
Urban facility B
(Harrison Co., IN)
....
×
=
×
=
+
=
×
=
×
=
....
×
=
+
=
$32,501.97
0.69538
$22,601.22
0.8852
$20,006.60
$9,900.75
$29,907.35
1.000
$29,907.35
1.0454
$31,265.14
$29,907.35
0.0784
$2,344.74
$31,265.14
$33,609.88
our rationale for setting the outlier
threshold amount for the IRF PPS so
that estimated outlier payments would
equal 3 percent of total estimated
payments. For the 2002 IRF PPS final
rule, we analyzed various outlier
policies using 3, 4, and 5 percent of the
total estimated payments, and we
concluded that an outlier policy set at
3 percent of total estimated payments
would optimize the extent to which we
could reduce the financial risk to IRFs
of caring for high-cost patients, while
still providing for adequate payments
for all other (non-high cost outlier)
cases.
Subsequently, we updated the IRF
outlier threshold amount in the FYs
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2006 through 2014 IRF PPS final rules
and the FY 2011 and FY 2013 notices
(70 FR 47880, 71 FR 48354, 72 FR
44284, 73 FR 46370, 74 FR 39762, 75 FR
42836, 76 FR 47836, 76 FR 59256, and
77 FR 44618, 78 FR 47860, respectively)
to maintain estimated outlier payments
at 3 percent of total estimated payments.
We also stated in the FY 2009 final rule
(73 FR 46370 at 46385) that we would
continue to analyze the estimated
outlier payments for subsequent years
and adjust the outlier threshold amount
as appropriate to maintain the 3 percent
target.
To update the IRF outlier threshold
amount for FY 2015, we propose to use
FY 2013 claims data and the same
methodology that we used to set the
initial outlier threshold amount in the
FY 2002 IRF PPS final rule (66 FR 41316
and 41362 through 41363), which is also
the same methodology that we used to
update the outlier threshold amounts for
FYs 2006 through 2014. Based on an
analysis of this updated data, we
estimate that IRF outlier payments as a
percentage of total estimated payments
are approximately 2.9 percent in FY
2014. Therefore, we propose to update
the outlier threshold amount to $9,149
to maintain estimated outlier payments
at approximately 3 percent of total
estimated aggregate IRF payments for
FY 2015.
We invite public comment on the
proposed update to the FY 2015 outlier
threshold amount to maintain estimated
outlier payments at approximately 3
percent of total estimated IRF payments.
B. Proposed Update to the IRF Cost-toCharge Ratio Ceiling and Urban/Rural
Averages
In accordance with the methodology
stated in the FY 2004 IRF PPS final rule
(68 FR 45674, 45692 through 45694), we
apply a ceiling to IRFs’ CCRs. Using the
methodology described in that final
rule, we propose to update the national
urban and rural CCRs for IRFs, as well
as the national CCR ceiling for FY 2015,
based on analysis of the most recent
data that is available. We apply the
national urban and rural CCRs in the
following situations:
• New IRFs that have not yet
submitted their first Medicare cost
report.
• IRFs whose overall CCR is in excess
of the national CCR ceiling for FY 2015,
as discussed below.
• Other IRFs for which accurate data
to calculate an overall CCR are not
available.
Specifically, for FY 2015, based on
our estimates, we propose a national
average CCR of 0.571 for rural IRFs,
which we calculated by taking an
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average of the CCRs for all rural IRFs
using their most recently submitted cost
report data. Similarly, based on our
estimates, we propose a national average
CCR of 0.456 for urban IRFs, which we
calculated by taking an average of the
CCRs for all urban IRFs using their most
recently submitted cost report data. We
apply weights to both of these averages
using the IRFs’ estimated costs, meaning
that the CCRs of IRFs with higher costs
factor more heavily into the averages
than the CCRs of IRFs with lower costs.
For this proposed rule, we have used
the most recent available cost report
data (FY 2012). This includes all IRFs
whose cost reporting periods begin on
or after October 1, 2011, and before
October 1, 2012. If, for any IRF, the FY
2012 cost report was missing or had an
‘‘as submitted’’ status, we used data
from a previous fiscal year’s (that is, FY
2004 through FY 2011) settled cost
report for that IRF. We do not use cost
report data from before FY 2004 for any
IRF because changes in IRF utilization
since FY 2004 resulting from the 60
percent rule and IRF medical review
activities suggest that these older data
do not adequately reflect the current
cost of care.
In accordance with past practice, we
propose to set the national CCR ceiling
at 3 standard deviations above the mean
CCR. Using this method, the proposed
national CCR ceiling would be 1.64 for
FY 2015. This means that, if an
individual IRF’s CCR exceeds this
proposed ceiling of 1.64 for FY 2015, we
would replace the IRF’s CCR with the
appropriate proposed national average
CCR (either rural or urban, depending
on the geographic location of the IRF).
We calculated the proposed national
CCR ceiling by:
Step 1. Taking the national average
CCR (weighted by each IRF’s total costs,
as discussed above) of all IRFs for which
we have sufficient cost report data (both
rural and urban IRFs combined).
Step 2. Estimating the standard
deviation of the national average CCR
computed in step 1.
Step 3. Multiplying the standard
deviation of the national average CCR
computed in step 2 by a factor of 3 to
compute a statistically significant
reliable ceiling.
Step 4. Adding the result from step 3
to the national average CCR of all IRFs
for which we have sufficient cost report
data, from step 1.
We propose that the proposed
national average rural and urban CCRs
and the proposed national CCR ceiling
in this section will be updated in the
final rule if more recent data become
available to use in these analyses.
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26325
We invite public comment on the
proposed update to the IRF CCR ceiling
and the urban/rural averages for FY
2015.
VII. Proposed Refinements to the
Presumptive Compliance Methodology
A. Background on the Compliance
Percentage
The compliance percentage has been
part of the criteria for defining IRFs
since implementation of the Inpatient
Prospective Payment System (IPPS) in
1983. In the September 1, 1983, interim
final rule with comment period (48 FR
39752), which allowed IRFs to be paid
separately from the IPPS, the initial
compliance percentage was set at 75
percent. The 1983 interim rule
stipulated that in accordance with
sections 1886(d)(1)(B) and
1886(d)(1)(B)(ii) of the Act, a
rehabilitation hospital and a
rehabilitation unit were excluded from
the IPPS. Sections 1886(d)(1)(B) and
1886(d)(1)(B)(ii) of the Act also give the
Secretary the discretion to define a
rehabilitation hospital and unit.
A hospital or unit deemed excluded
from the IPPS and paid under the IRF
PPS must meet the general requirements
in subpart B and subpart P of part 412.
Subject to the special payment
provisions of § 412.22(c), a hospital or
unit must meet the general criteria set
forth in § 412.22 and in the regulations
at § 412.23(b), § 412.25, and § 412.29
that specify the criteria for a provider to
be classified as a rehabilitation hospital
or unit. Hospitals and units meeting
these criteria are eligible to be paid on
a prospective payment basis as an IRF
under the IRF PPS.
The 1983 interim final rule stipulated
that one of the criteria for being
classified as an IRF was that, during the
facility’s most recently completed 12month cost reporting period, the
hospital must be primarily engaged in
furnishing intensive rehabilitation
services, as demonstrated by patient
medical records, indicating that at least
75 percent of the IRF’s patient
population were treated for one or more
of the 10 medical conditions specified
in the regulation that typically required
the intensive inpatient rehabilitation
treatment provided in an IRF. These
criteria, along with other related criteria,
distinguished an inpatient rehabilitation
hospital or unit from a hospital that
furnished general medical or surgical
services, as well as rehabilitation
services. We believed then, as we do
now, that by examining the types of
conditions for which a hospital’s
inpatients are treated, and the
proportion of patients treated for
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conditions that typically require
intensive inpatient rehabilitation, we
would be able to distinguish those
hospitals in which the provision of
rehabilitation services was primary
rather than secondary. Thus, Medicare
pays for rehabilitation services at IRFs at
a higher rate than other hospitals
because IRFs are designed to offer
specialized inpatient rehabilitation care
to patients with intensive needs.
The original medical conditions
specified under the compliance
percentage, or ‘‘75 percent rule,’’ were
stroke, spinal cord injury, congenital
deformity, amputation, major multiple
trauma, fracture of femur (hip fracture),
brain injury, and polyarthritis
(including rheumatoid arthritis). In the
January 3, 1984, final rule (49 FR 234),
we expanded the list of eligible medical
conditions to include neurological
disorders (including multiple sclerosis,
motor neuron diseases, polyneuropathy,
muscular dystrophy, and Parkinson’s
disease) and burns. In the May 7, 2004
final rule (69 FR 25752), we modified
and expanded the list of eligible
medical conditions by removing
polyarthritis and substituting three more
clearly defined arthritis-related
conditions. The three conditions that
replaced polyarthritis included the
following:
• Active, polyarticular rheumatoid
arthritis, psoriatic arthritis, and
seronegative arthropathies resulting in
significant functional impairment of
ambulation and other activities of daily
living, which has not improved after an
appropriate, aggressive, and sustained
course of outpatient therapy services or
services in other less intensive
rehabilitation settings immediately
preceding the inpatient rehabilitation
admission, or which results from a
systemic disease activation immediately
before admission, but has the potential
to improve with more intensive
rehabilitation.
• Systemic vasculidities with joint
inflammation, resulting in significant
functional impairment of ambulation
and other activities of daily living,
which has not improved after an
appropriate, aggressive, and sustained
course of outpatient therapy services or
services in other less intensive
rehabilitation settings immediately
preceding the inpatient rehabilitation
admission, or which results from a
systemic disease activation immediately
before admission, but has the potential
to improve with more intensive
rehabilitation.
• Severe or advanced osteoarthritis
(osteoarthrosis or degenerative joint
disease) involving three or more major
joints (elbow, shoulders, hips, or knees)
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with joint deformity and substantial loss
of range of motion, atrophy, significant
functional impairment of ambulation
and other activities of daily living,
which has not improved after an
appropriate, aggressive, and sustained
course of outpatient therapy services or
services in other less intensive
rehabilitation settings immediately
preceding the inpatient rehabilitation
admission, but has the potential to
improve with more intensive
rehabilitation. (A joint replaced by a
prosthesis is no longer considered to
have osteoarthritis, or other arthritis,
even though this condition was the
reason for the joint replacement.)
In the May 7, 2004 final rule (69 FR
25752), a 13th condition was also added
to include patients who undergo knee
and/or hip joint replacement during an
acute hospitalization immediately
preceding the inpatient rehabilitation
stay and also meet at least one of the
following specific criteria:
• Underwent bilateral knee or hip
joint replacement surgery during the
acute hospitalization immediately
preceding the IRF admission.
• Are extremely obese patients as
measured by the patient’s Body Mass
Index (BMI) of at least 50, at the time
of admission to the IRF.
• Are patients considered to be ‘‘frail
elderly,’’ as determined by a patient’s
age of 85 or older, at the time of
admission to the IRF (the provision
currently states only that the patients be
age 85 or older at the time of admission
to the IRF).
In 2002, we surveyed Medicare fiscal
intermediaries to determine how they
were enforcing the 75 percent rule.
Although the 75 percent rule was one of
the criteria that were used to distinguish
an IRF from an acute care hospital from
1983 to 2004, we found evidence that
different fiscal intermediaries were
enforcing the rule differently. We found
fiscal intermediaries were using
inconsistent methods to determine
whether IRFs were in compliance with
the regulation, and that some IRFs were
not being reviewed for compliance at
all. This led to concerns that some IRFs
might have been out of compliance with
the regulation and inappropriately
classified as IRFs, while other IRFs may
have been held to overly high standards.
Because of these concerns we sought to
establish a more uniform enforcement of
the 75 percent rule.
In the May 16, 2003, IRF PPS
proposed rule (68 FR 26786), we
solicited comments on the regulatory
requirements of the 75 percent rule.
Though we did not, at that time,
propose amending the regulatory
requirements for the 75 percent rule
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located in then § 412.23(b)(2), we did
propose to amend these requirements in
the September 9, 2003, proposed rule
titled, ‘‘Medicare Program; Changes to
the Criteria for Being Classified as an
Inpatient Rehabilitation Facility’’ (68 FR
53266). In that rule, we proposed some
revisions to the 75 percent rule,
including lowering the compliance
percentage to 65 percent during a 3-year
transition period for cost reporting
periods between January 1, 2004, and
January 1, 2007. Also, in response to
comments on the September 9, 2003,
proposed rule and as stated above, the
May 7, 2004, final rule (69 FR 25752)
expanded the number of medical
conditions that would meet the
compliance percentage from 10 to 13
and provided that patient comorbidities
may also be included in determining an
IRF’s compliance with the requirements
during the transition period.
In the September 9, 2003, proposed
rule, we defined a ‘‘comorbidity’’ as a
specific patient condition that is
secondary to the patient’s principal
diagnosis or impairment that is the
primary reason for the inpatient
rehabilitation stay. In the May 7, 2004,
rule, we adopted the provision to use a
patient with a comorbidity counting
towards the compliance threshold
during the transition period. In the
determination of the compliance
percentage, a patient comorbidity
counts toward the percentage if the
comorbidity falls in one of the
conditions specified at § 412.29(b)(2)
and has caused significant decline in
functional ability in the individual that
even in the absence of the admitting
condition, the individual would require
the intensive rehabilitation treatment
that is unique to IRFs.
Anticipating that IRFs needed some
time to adjust and adapt their processes
to the changes in the enforcement of the
75 percent rule, in the May 7, 2004 final
rule, we provided IRFs with a 3-year
phase-in period (cost reporting periods
beginning on or after July 1, 2004,
through July 1, 2007) to establish the
compliance threshold of 75 percent of
the IRF’s total patient population. The
3-year phase-in period was intended to
begin with cost reporting periods on or
after July 1, 2004, with the threshold at
50 percent of the IRF’s population and
gradually increase to 60 percent, then to
65 percent, and then to expire with cost
reporting periods beginning on or after
July 1, 2007, when the compliance
percentage would once again be at 75
percent.
Section 5005 of the Deficit Reduction
Act of 2005 (DRA) (Pub. L. 109–171,
enacted February 8, 2006) and section
1886(d)(1)(B) of the Act modified the
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provisions of the 75 percent rule
originally specified in the May 7, 2004,
final rule. To reflect these statutory
changes, in the August 7, 2007, final
rule (72 FR 44284), we revised the
regulations to prolong the overall
duration of the phased transition to the
full 75 percent threshold by stipulating
that an IRF must meet the full 75
percent compliance threshold as of its
first cost reporting period that starts on
or after July 1, 2008. We also extended
the policy of using a patient’s
comorbidities to the extent they met the
conditions as outlined in the regulations
to determine compliance with the
classification criteria at then
§ 412.23(b)(2)(1) to the first cost
reporting period that starts on or after
July 1, 2008.
Subsequently, section 115 of the
MMSEA amended section 5005 of the
DRA to revise elements of the 75
percent rule that are used to classify
IRFs. In accordance with the statute, in
the August 8, 2008, final rule (73 FR
46370), we revised the compliance rate
that IRFs must meet to be excluded from
the IPPS and be paid under the IRF PPS
to 60 percent for cost reporting periods
beginning in or after July 1, 2006. Also,
in accordance with the statute, we
required that patient comorbidities that
satisfy the criteria as specified at then
§ 412.23(b)(2)(i) [now located at
§ 412.29(b)(1) and § 412.29(b)(2)] be
included in calculations used to
determine whether an IRF meets the 60
percent compliance percentage for cost
reporting periods beginning on or after
July 1, 2007. As a result of these
changes, the requirements started being
referred to as the ‘‘60 percent rule,’’
instead of the ‘‘75 percent rule.’’ The
regulations finalized in the FY 2009 IRF
PPS Final Rule (73 FR 46370) continue
to be in effect.
Though an IRF must serve an
inpatient population of whom at least
60 percent meet the compliance
percentage criteria specified at
§ 412.29(b), the existing regulation
allows for 40 percent of reasonable and
necessary admissions to an IRF to fall
outside of the 13 qualifying medical
conditions. Still, the ‘‘60 percent rule’’
is one of the primary ways we
distinguish an IRF from an acute care
hospital. As Medicare payments for IRF
services are generally significantly
higher than Medicare payments for
similar services provided in acute care
hospital settings, we believe that it is
important to maintain and enforce the
criteria for medical conditions that may
be counted toward an IRF’s compliance
calculation for the 60 percent rule to
ensure that the higher Medicare
payments are appropriately allocated to
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those providers that are providing IRFlevel services.
B. Proposed Changes to the Diagnosis
Codes That Are Used To Determine
Presumptive Compliance
In the FY 2014 IRF PPS final rule (78
FR 47860, 47881 through 47895), we
revised the list of ICD–9–CM diagnosis
codes that are used to determine
presumptive compliance, effective for
compliance review periods beginning
on or after October 1, 2014. These
revisions were based on an analysis of
the ICD–9–CM code list that determined
the clinical appropriateness of each
individual ICD–9–CM code’s inclusion
on the list. As a result of this analysis,
we also intended to remove all of the
status post-amputation diagnoses codes,
but these codes were inadvertently
omitted from the FY 2014 IRF PPS
proposed and final rules. These codes,
listed in Table 7, are used to indicate
that a patient has the sequela or residual
effect of a condition.
As we stated in the FY 2014 IRF PPS
final rule (78 FR 47860, at 47881), the
ICD–9–CM diagnosis codes included on
the ‘‘ICD–9–CM Codes That Meet
Presumptive Compliance Criteria’’ list
are ones that demonstrate that the
patient meets criteria for the medical
conditions that may be counted toward
an IRF’s compliance percentage under
the presumptive compliance
methodology. Further, we stated that the
underlying premise of the presumptive
compliance methodology list is that it
represents particular diagnosis codes
that, if applicable to a given patient,
would more than likely mean that the
patient required intensive rehabilitation
services in an IRF for treatment of one
or more of the conditions specified at
§ 412.29(b)(2) or that they had a
comorbidity that caused significant
decline in functional ability such that,
even in the absence of the admitting
condition, the patient would require the
intensive rehabilitation treatment that is
unique to IRFs and cannot be
appropriately treated in another care
setting. For the reasons described below,
we do not believe that the ICD–9–CM
diagnosis codes listed in Table 7 meet
either of these criteria. We believe it is
impossible to determine, from the
presence of such diagnosis codes alone,
whether a patient with an amputation
status or prosthetic fitting and
adjustment needs has a condition for
which he or she would qualify for
treatment in an IRF. Some patients with
an amputation status or prosthetic
fitting and adjustment needs will not
require close medical supervision by a
physician or weekly interdisciplinary
team conferences to achieve their goals,
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while others may require these services.
We believe that rehabilitation associated
with an amputation status or prosthetic
fitting and adjustment needs does not
necessarily need to be accompanied by
the close medical management provided
in IRFs, as long as the patient does not
have any additional comorbidities that
have caused significant decline in his or
her functional ability that, in the
absence of an amputation status or
prosthetic fitting and adjustment needs,
would necessitate treatment in an IRF.
That is to say, a patient’s need for
intensive rehabilitation services
provided in an IRF may depend on
other conditions which cannot be solely
identified through the presence of an
amputation status or prosthetic fitting
and adjustment diagnosis code. If a
patient with one of the diagnosis codes
listed in Table 7 has additional
comorbidities that would necessitate
treatment in an IRF, then those
additional comorbidities would qualify
the patient for inclusion in the
calculation of the IRF’s compliance
percentage under the presumptive
compliance methodology. Thus, we
propose the removal of the status postamputation diagnosis codes listed in
Table 7 from the list of ‘‘ICD–9–CM
Codes That Meet Presumptive
Compliance Criteria.’’ This proposed
removal would be effective for
compliance review periods beginning
on or after October 1, 2014, and the
changes would be incorporated into the
ICD–10 lists (discussed below) when
ICD–10–CM becomes the required
medical data code set for use on
Medicare claims and IRF–PAI
submissions. We invite public comment
on the proposed changes to the
diagnosis codes that are used to
determine presumptive compliance.
TABLE 7—ICD–9–CM CODES PROPOSED TO BE REMOVED FROM
‘‘ICD–9–CM CODES THAT MEET
PRESUMPTIVE COMPLIANCE CRITERIA’’
ICD–9–CM
code
Diagnosis
V49.65 .....
V49.66 .....
V49.67 .....
V49.73 .....
V49.74 .....
V49.75 .....
V49.76 .....
V49.77 .....
V52.0 .......
Below elbow amputation status.
Above elbow amputation status.
Shoulder amputation status.
Foot amputation status.
Ankle amputation status.
Below knee amputation status.
Above knee amputation status.
Hip amputation status.
Fitting and adjustment of artificial arm (complete) (partial).
Fitting and adjustment of artificial leg (complete) (partial).
V52.1 .......
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C. Proposed Changes to the Impairment
Group Codes That Meet Presumptive
Compliance Criteria
An ‘‘impairment group code’’ is not
an ICD diagnosis code, but part of a
separate unique set of codes specifically
developed for the IRF PPS for assigning
the primary reason for admission to an
IRF. These codes are listed in the IRF–
PAI Training Manual (see section II,
item #21, and Appendix A). The IRF–
PAI Training Manual is available
through the Internet on the CMS Web
site at https://www.cms.gov/Medicare/
Medicare-Fee-for-Service-Payment/
InpatientRehabFacPPS/IRFPAI.html.
If an IRF is eligible to use the
presumptive methodology to evaluate
its compliance with the 60 percent rule,
all of its IRF–PAI assessments from the
most recently completed 12-month
compliance review period are examined
(with the use of a computer program) to
determine whether they contain any of
the codes listed on the presumptive
methodology lists (that is, ‘‘ICD–9–CM
Codes That Meet Presumptive
Compliance Criteria’’ and ‘‘Impairment
Groups That Meet Presumptive
Compliance Criteria’’). Each selected
assessment is presumptively categorized
as either meeting or not meeting the IRF
60 percent rule requirements based
upon the primary reason for the patient
to be treated in the IRF (the impairment
group) and the ICD diagnosis codes
listed as either the etiologic diagnosis
(the etiologic problem that led to the
condition for which the patient is
receiving rehabilitation) or one of 25
comorbidities on the assessment.
Not all impairment group codes (IGC)
meet the presumptive compliance
criteria. The underlying premise of the
list of eligible IGCs that are used to
determine presumptive compliance
(similar to the diagnosis codes listed in
‘‘ICD–9–CM Codes That Meet
Presumptive Compliance Criteria’’)
includes particular IGCs that, if
applicable to a given patient, would
more than likely mean that the patient
required intensive rehabilitation
services for treatment of one or more of
the conditions specified at
§ 412.29(b)(2). The current list of
eligible IGCs that meet presumptive
compliance criteria, Appendix B:
Impairment Group Codes That Meet
Presumptive Compliance Criteria, can
be downloaded from the October 1,
2007, IRF Compliance Rule
Specification Files on the Medicare IRF
PPS Web site at https://www.cms.gov/
Medicare/Medicare-Fee-for-ServicePayment/InpatientRehabFacPPS/
Criteria.html. Again, this list contains
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only those IGCs that meet the
presumptive compliance criteria.
1. Proposed Removal of IGCs for
Unilateral Upper Extremity
Amputations and Arthritis From
Appendix B: Impairment Group Codes
That Meet Presumptive Compliance
Criteria
In the FY 2014 IRF PPS final rule (78
FR 47889 through 47895), we finalized
(applicable for compliance review
periods beginning on or after October 1,
2014) the removal of certain ICD–9–CM
codes for unilateral upper extremity
amputations from the list of ‘‘ICD–9–CM
Codes That Meet Presumptive
Compliance Criteria’’ because we
believed that it is impossible to
determine, from the presence of such
ICD–9–CM codes alone, whether a
patient with such a unilateral upper
extremity amputation has a condition
for which he or she would need
intensive rehabilitation services for
treatment of one or more of the
conditions specified in § 412.29(b)(2).
Further, we stated that a patient’s need
for intensive inpatient rehabilitative
services for the treatment of one or more
of these conditions would depend on
the presence of additional comorbidities
that caused significant decline in his or
her functional ability to an extent that
would necessitate treatment in an IRF.
If the patient has one or more of the
comorbidities on the list of ‘‘ICD–9–CM
Codes That Meet Presumptive
Compliance Criteria,’’ then the patient
would already qualify as meeting the
presumptive compliance criteria. We
concluded that if the diagnosis codes for
such a patient’s comorbidities do not
appear on the list of ‘‘ICD–9–CM Codes
That Meet Presumptive Compliance
Criteria,’’ then the patient could still be
considered for inclusion in the IRF’s
compliance percentage following
medical review and confirmation that
they meet the criteria for one or more of
the medical conditions in the
regulations.
In the FY 2014 IRF PPS final rule (78
FR 47887 through 47895), we also
finalized (applicable for compliance
review periods beginning on or after
October 1, 2014) the removal of ICD–9–
CM diagnosis codes for arthritis
conditions from the list of ‘‘ICD–9–CM
Codes That Meet Presumptive
Compliance Criteria’’ because the
inclusion of patients with these medical
conditions in the presumptive
compliance calculation of the IRF’s
compliance percentage is conditioned
on those patients meeting the described
severity and prior treatment
requirements. However, the ICD–9–CM
diagnosis codes that reflect these
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arthritis and arthropathy conditions do
not provide any information about the
severity of the condition or whether the
prior treatment requirements were met.
Therefore, we stated in the FY 2014 IRF
PPS final rule that we believe that
additional information beyond the
presence of the code is necessary to
determine if the medical record would
support inclusion of individuals with
the arthritis and arthropathy conditions
outlined in our regulations under
§ 412.29(b)(2)(x) through
§ 412.29(b)(2)(xii) in the presumptive
compliance calculation of the facility’s
compliance percentage. For this reason,
we finalized the removal of the ICD–9–
CM diagnosis codes associated with the
medical conditions outlined in our
regulations under § 412.29(b)(2)(x)
through § 412.29(b)(2)(xii) from the list
of ‘‘ICD–9–CM Codes That Meet
Presumptive Compliance Criteria.’’
However, we also stated that we expect
that the MACs will be able, upon
medical review, to include those
patients in a facility’s compliance
percentage upon confirmation that the
severity and prior treatment
requirements were met.
Consistent with our rationale in the
FY 2014 IRF PPS final rule for removing
the ICD–9–CM diagnoses codes for
unilateral upper extremity amputations
and the arthritis and arthropathy
conditions, we propose to make
conforming changes to the IGCs by
proposing the removal of four IGCs from
Appendix B: Impairment Group Codes
That Meet Presumptive Compliance
Criteria. Thus, we propose to remove
the following codes from Appendix B:
Impairment Group Codes That Meet
Presumptive Compliance Criteria:
• IGC 0005.1—Unilateral Upper Limb
Above the Elbow (AE),
• IGC 0005.2—Unilateral Upper Limb
Below the Elbow (BE),
• IGC 0006.1—Rheumatoid Arthritis,
and
• IGC 0006.9—Other Arthritis.
2. Other Proposed Changes to Appendix
B: Impairment Group Codes That Meet
Presumptive Compliance Criteria
We propose to revise Appendix B:
Impairment Group Codes That Meet
Presumptive Compliance Criteria by
revising the diagnosis codes listed as
exclusions on the table and by revising
the title of the table.
In the FY 2014 IRF PPS final rule (78
FR 47860, 47881 through 47895), we
finalized (applicable for compliance
review periods beginning on or after
October 1, 2014) the removal of certain
ICD–9–CM codes from the list of ‘‘ICD–
9–CM Codes That Meet Presumptive
Compliance Criteria.’’ Accordingly, we
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propose to exclude these diagnosis
codes from counting if they are the
patient’s Etiologic Diagnosis (that is, the
etiologic problem that led to the
condition for which the patient is
receiving rehabilitation). That is, a given
IGC that would otherwise meet the
presumptive compliance criteria will
not meet such criteria if the patient has
one of the ‘‘excluded’’ Etiologic
Diagnoses for that IGC.
In addition, in the FY 2014 IRF PPS
final rule (78 FR 47860, 47883), we
implemented a change in the titles of
some tables used in the presumptive
compliance methodology to no longer
use alphabet characters or the
‘‘Appendix’’ labels to identify these
tables. Consistent with the intent to
reduce confusion among tables, and
effective October 1, 2014, we propose to
identify Appendix B: Impairment Group
Codes That Meet Presumptive
Compliance Criteria as ‘‘Impairment
Group Codes That Meet Presumptive
Compliance Criteria.’’
This new proposed table,
‘‘Impairment Group Codes That Meet
Presumptive Compliance Criteria,’’ also
lists Etiologic Diagnosis codes that are
excluded from counting under related
IGCs in ICD–10–CM code format. For
example, ICD–10–CM code G72.3,
‘‘Periodic Paralysis’’ is an excluded
Etiologic Diagnosis code under IGC
0003.8, ‘‘Neuromuscular Disorders.’’
Further, to accommodate the proposed
Etiologic Diagnosis code exclusions, we
have reformatted this table. A revised
table containing the proposed
‘‘Impairment Group Codes That Meet
Presumptive Compliance Criteria,’’ with
the additional proposed ICD–10–CM
Etiologic Diagnosis exclusions described
in this section, can be viewed on the
Medicare IRF PPS Web site at https://
www.cms.gov/Medicare/Medicare-Feefor-Service-Payment/
InpatientRehabFacPPS/Data-Files.html.
The proposed changes to the table,
‘‘Impairment Group Codes That Meet
Presumptive Compliance Criteria,’’
would be effective for compliance
review periods beginning on or after
October 1, 2014. We invite public
comment on the proposed changes to
the impairment group codes that meet
presumptive compliance criteria.
VIII. Proposed Data Collection of the
Amount and Mode (Individual, Group,
and Co-Treatment) of Therapy Provided
in IRFs According to Occupational,
Speech, and Physical Therapy
Disciplines
Prior to the implementation of the IRF
PPS in January 2002, Medicare payment
for IRF services under section 101(a) of
the Tax Equity and Fiscal Responsibility
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Act of 1982 (Pub. L. 97–248, enacted
September 3, 1982) was based on the
reasonable costs incurred in furnishing
services to Medicare beneficiaries,
subject to a limit on allowable costs per
discharge. Thus, for therapy services,
Medicare reimbursed IRFs based on the
reasonable costs incurred in furnishing
appropriate levels of Individual Therapy
or Group Therapy, which meant that
IRFs had limited financial incentives to
provide more of one type of therapy
than another. We presumed that
decisions about the mode of therapy
delivery were likely to be based on the
needs of the patient and on the best way
to assist patients in meeting their
individualized rehabilitation goals.
With the advent of the IRF PPS
beginning in January 2002, Medicare
began reimbursing IRFs using a set
prospective payment amount that was
intended to cover the costs of all
treatment and services, including
therapy services, provided to patients in
the IRF. This increased the financial
incentives for IRFs to give patients more
Group Therapy and less Individual
Therapy, because Individual Therapy is
more costly to provide. Although we
know that the financial incentives for
the provision of Individual Therapy and
Group Therapy changed, we do not
know whether IRFs provided different
modes of therapy in response to the new
incentives or how much Individual
Therapy and Group Therapy IRFs
currently provide. Medicare does not
currently collect data on the amount of
Individual, Group, and Co-Treatment
Therapies, according to therapy
discipline, that IRFs are currently
providing. We believe that it is
important to begin collecting these data
to determine what services Medicare is
paying for under the IRF prospective
payment system, which would allow us
to analyze whether we are paying
appropriately for services currently
rendered by IRFs. Medicare
administrative data (such as the IRF
claims data) do not currently provide
the level of detailed information about
the mode and type of therapy provided
that we require to perform these
analyses. Thus, this proposed new data
collection will assist us in the
development of appropriate coverage
and payment criteria for the provision of
Group Therapy in the IRF setting. We
believe that these coverage and payment
criteria are important to balance the
beneficial aspects of Group Therapy for
certain patients in certain instances
with the IRF requirements for an
intensive rehabilitation therapy
program.
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26329
In the FY 2010 IRF PPS proposed rule
(74 FR 21070, 21071) in which we
proposed a revised set of Medicare
coverage requirements for IRF services,
we discussed the relative value of
Individual Therapy versus Group
Therapy in the IRF setting. To improve
our understanding of when Group
Therapy is most appropriate in IRFs, we
solicited comments in that proposed
rule on the types of patients for whom
Group Therapy is appropriate, and the
specific amount of Group Therapy that
may be beneficial for these types of
patients. Subsequently, we discussed
the comments in the FY 2010 IRF PPS
final rule (74 FR 39796, 39797).
Although the comments on the FY 2010
IRF PPS proposed rule did not offer any
clinical study results or any data that
would be helpful to us in developing
coverage and payment criteria for the
provision of Group Therapy in IRFs, the
comments did suggest an important role
for Group Therapy in the provision of
therapies in IRFs. However, the majority
of commenters remarked that Group
Therapy should be limited in some way.
Many commenters agreed that Group
Therapy is a good adjunct to Individual
Therapy, but should not be the primary
source of therapy services provided in
IRFs. Several commenters
recommended that we limit the amount
of Group Therapies provided in IRFs,
and that we also limit the number of
patients who can participate in a Group
Therapy session. Commenters also
suggested that Group Therapy sessions
should be comprised of patients with
similar diagnoses. We agreed with the
commenters that Group Therapy should
not be the primary source of therapy
given to patients in IRFs. Group
Therapy should be used in IRFs
primarily as an adjunct to Individual
Therapy services, which is the standard
of care in IRFs, as Group Therapy may
not uniformly represent the level of
intensive rehabilitation therapy required
and paid for in the IRF setting. In the
final rule, we also stated that we would
consider adopting specific coverage and
payment criteria for Group Therapy
practice in IRFs through future
rulemaking.
When an authorized clinician deems
it to be necessary, we continue to
believe that Group Therapy can serve as
an appropriate mode of therapy delivery
that can be beneficial to the particular
needs of IRF patients as an adjunct to
Individual Therapy. Anecdotally, we
understand that Group Therapy remains
a widely used mode of therapy in the
IRF setting. But as we stated in the FY
2010 IRF PPS final rule, we believe that
it would be inappropriate for IRFs to
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provide essentially all therapy in the
form of Group Therapy because we do
not believe that this is in the best
interest of the patients, or that it reflects
the services for which the IRF
prospective payment system was
established to pay. Therefore, to better
understand the ways in which therapy
services are currently being provided in
IRFs, we propose to add a new Therapy
Information Section to the IRF–PAI to
record the amount and mode of therapy
(that is, Individual, Group, CoTreatment) patients receive in each
therapy discipline (that is, physical
therapy, occupational therapy, and
speech-language pathology).
For purposes of recording therapy
services in IRFs, we propose to define
Individual Therapy as the provision of
therapy services by one licensed or
certified therapist (or licensed therapy
assistant, under the appropriate
direction of a licensed or certified
therapist) to one patient at a time (this
is sometimes referred to as ‘‘one-onone’’ therapy). We propose to define
Group Therapy as the provision of
therapy services by one licensed or
certified therapist (or licensed therapy
assistant, under the appropriate
direction of a licensed or certified
therapist) to between 2 and 6 IRF
patients at one time, regardless of
whether those 2 to 6 IRF patients are
performing the same activity or different
activities. We propose to define CoTreatment as the provision of therapy
services by more than one licensed or
certified therapist (or licensed therapy
assistant, under the appropriate
direction of a licensed therapist) from
different therapy disciplines to one
patient at the same time. For example,
Co-Treatment could involve one
physical therapist and one occupational
therapist working with one patient at
the same time to achieve the patient’s
goals. Because Co-Treatment is
appropriate for specific clinical
circumstances and is not suitable for all
patients, its use should be limited.
We propose to collect this information
in a new Therapy Information Section
on the IRF–PAI, which would be
effective for IRF discharges beginning
on or after October 1, 2015. The
proposed new Therapy Information
Section would be completed as part of
the patient’s discharge assessment. In
this new proposed section, the IRF
would record how many minutes of
Individual, Group, and Co-Treatment
therapies the patient received, according
to each therapy discipline (that is,
physical therapy, occupational therapy,
and speech-language pathology), during
the first week (7 calendar day period) of
the IRF stay; how many minutes of
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Individual, Group, and Co-Treatment
therapies the patient received, according
to each therapy discipline, during the
second week (7 calendar day period) of
the IRF stay; and the average number of
minutes of Individual, Group, and CoTreatment therapies the patient
received, according to each therapy
discipline, during all subsequent weeks
(7 calendar day periods) of the IRF stay,
beginning with the third week. For CoTreatment, each therapist would record
the amount of time spent with the
patient. That is, if a physical therapist
and an occupational therapist both
worked with the patient from 9:00 a.m.
to 9:30 a.m., then each therapist would
record 30 minutes with the patient in
the Co-Treatment section of the IRF–
PAI. The draft of the proposed IRF–PAI
for FY 2016 that would include this new
proposed Therapy Information Section
is available for download from the IRF
PPS Web site at https://www.cms.gov/
Medicare/Medicare-Fee-for-ServicePayment/InpatientRehabFacPPS/
IRFPAI.html in conjunction with the
publication of this proposed rule. We
propose to use these data for the
following purposes:
• To analyze the types of therapy
services Medicare is currently paying
for under the IRF prospective payment
system; and
• To monitor the amount of therapy
given and the use of different therapy
modes in IRFs to support future
rulemaking in this area.
For example, we are considering
using these data to propose limits on the
amount of Group Therapy that may be
provided in IRFs through future
rulemaking. One such limit that we are
currently considering is that an IRF
patient may receive no more than 25
percent of his or her total therapy
treatment time in Group Therapy,
similar to the limit that currently exists
in the skilled nursing facility (SNF)
setting, as discussed in the SNF PPS and
Consolidated Billing final rule (64 FR
41644, 41662). We specifically solicit
public comment on all of these
proposals, including whether 25 percent
is the most appropriate limit to establish
for the IRF setting.
IX. Proposed Revision to the IRF–PAI
To Add Data Item for Arthritis
Conditions
In the FY 2014 IRF PPS final rule (78
FR 47860, 47881 through 47895), we
revised the list of ICD–9–CM diagnosis
codes that are used to determine
presumptive compliance, effective for
compliance review periods beginning
on or after October 1, 2014. As part of
these revisions, we removed all of the
ICD–9–CM codes for arthritis conditions
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because we found that such codes did
not provide any information as to
whether the patients met the severity
and prior treatment requirement
portions of the criteria for the medical
conditions that may be counted toward
an IRF’s compliance percentage under
the presumptive compliance method. As
we said in the FY 2014 IRF PPS final
rule, we did not adopt any and all
arthritis conditions in the May 7, 2004,
final rule (69 FR 25752). Rather, we only
provided for those patients with certain
kinds of arthritic conditions that met
defined severity and prior treatment
requirements. We anticipated that less
severe arthritic conditions could be
satisfactorily managed outside of IRFs
since these cases would not require the
intensive therapy provided in the
inpatient rehabilitation setting.
We received a number of comments
on the removal of the ICD–9–CM codes
for arthritis, with the majority of
commenters suggesting that these
changes would increase the use of the
medical review method, which is more
burdensome for both CMS and for IRFs.
Several commenters suggested that IRFs
should not be required to undergo a
‘‘full medical review’’ if they fail to
meet the required compliance
percentage using the presumptive
compliance method. Instead, they
suggested use of a ‘‘limited medical
review’’ in which only arthritis and
systemic vasculidities cases would be
reviewed. We said in the FY 2014 IRF
PPS final rule that we would use the
time afforded by the 1-year delayed
implementation to consider the
feasibility of minimizing any burdens
created by the operational aspects of
this policy.
In keeping with what we stated in the
FY 2014 IRF PPS final rule, we propose
to add an item to the IRF–PAI form for
an IRF to record the specific arthritis
diagnosis code(s) for each patient that
meets the severity and prior treatment
requirements outlined in the regulation.
By coding arthritis diagnosis codes in
this section, the IRF would be indicating
that the patient’s arthritis conditions
have met all of the severity and prior
treatment requirements (as outlined in
regulation at § 412.29(b)(2)(x) through
§ 412.29(b)(2)(xii)) to be counted toward
an IRF’s compliance percentage under
the presumptive compliance method.
This new proposed item would be
added to the IRF–PAI form for IRF
discharges occurring on or after October
1, 2015. The purpose of this new
proposed item is to provide us with the
additional severity and prior treatment
information necessary for us to identify
the arthritis diagnoses that are
appropriate to count toward an IRF’s
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compliance percentage under the
presumptive compliance method, thus
reducing the medical review burden. If
an IRF’s presumptive compliance
percentage is below the compliance
threshold (currently, 60 percent), but
inclusion of the arthritis codes reported
in this new proposed data item would
result in the IRF’s presumptive
compliance percentage meeting or
exceeding the compliance threshold,
then we propose to perform a ‘‘limited’’
medical review on a statistically valid
random sample of the cases documented
under this new item to ensure that the
severity and prior treatment
requirements were actually met. The
number of cases from the statistically
valid random sample that are found to
meet the severity and prior treatment
requirements will be extrapolated to the
total number of cases documented
under this new item (that is, if 70
percent of the cases in the statistically
valid random sample are found to meet
the severity and prior treatment
requirements, then we will presume that
70 percent of all of the cases
documented in the new item met the
severity and prior treatment
requirements). If the IRF’s presumptive
compliance percentage meets or exceeds
the compliance threshold (currently, 60
percent) with the addition of the
compliant cases documented under the
new item, then the IRF will be
presumed to meet the 60 percent rule
requirements and will not be subject to
additional medical review for that
compliance review period. However, if
the number of compliant cases
documented under the new item does
not result in the IRF’s presumptive
compliance percentage meeting or
exceeding the compliance threshold
(currently 60 percent), then the normal
medical review procedures for IRFs not
meeting the compliance threshold
(currently 60 percent) under the
presumptive compliance method will
apply. A draft of the proposed IRF–PAI
for FY 2016, with the proposed new
item, is available for download on the
IRF PPS Web site at https://
www.cms.gov/Medicare/Medicare-Feefor-Service-Payment/
InpatientRehabFacPPS/IRFPAI.html in
conjunction with the release of this
proposed rule.
We believe that the proposed new
item, supported by the reduced medical
review burden, minimizes the increase
in burden from this policy while still
allowing us to ensure that the arthritis
diagnosis codes that are included in the
calculation of an IRF’s compliance
percentage under the presumptive
compliance method actually meet the
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severity and prior treatment regulatory
requirements.
X. International Classification of
Diseases, 10th Revision, Clinical
Modification (ICD–10–CM), Conversion
A. Background on the Use of Diagnosis
Information in the IRF PPS
As described in section I.C. of this
proposed rule, IRFs are required to
complete the appropriate sections of a
patient assessment instrument (PAI),
designated as the Inpatient
Rehabilitation Facility-Patient
Assessment Instrument (IRF–PAI), upon
the admission and discharge of a
Medicare Part A Fee-for-Service patient.
In addition, beginning with IRF
discharges occurring on or after October
1, 2009, the IRF is also required to
complete the appropriate sections of the
IRF–PAI upon the admission and
discharge of each Medicare Part C
(Medicare Advantage) patient, as
described in the FY 2010 IRF PPS final
rule (74 FR 39762, 39798 through
39800). Several sections of the IRF–PAI
(currently, items #22, 24, 46, and 47)
require IRFs to report diagnosis
information for patients. Until ICD–10–
CM becomes the required medical data
code set for use on Medicare claims and
IRF–PAI submissions, we will continue
to use the ICD–9–CM medical data code
set. Medicare uses the diagnosis
information recorded on the IRF–PAI for
the following purposes:
1. To case-mix adjust the IRF PPS
payment for a patient by assigning the
patient to an appropriate payment tier
based on the patient’s comorbidities.
2. To determine, using the
presumptive compliance method,
whether an IRF presumptively meets the
60 percent rule requirements in
§ 412.29(b).
As described in more detail in the FY
2002 IRF PPS final rule (66 FR 41316),
we developed a list of diagnosis codes
(previously, ICD–9–CM codes) that, if
coded as a comorbidity in item #22 on
a patient’s IRF–PAI, result in that
patient being assigned to one of three
higher-paying payment tiers under the
IRF PPS. In the FY 2006 IRF PPS final
rule (70 FR 57166), we updated and
revised the list of diagnosis codes (at
that time, ICD–9–CM codes). We refer to
the current list of diagnosis codes that,
if present on a patient’s IRF–PAI, result
in the patient being assigned to a higherpaying tier as the ‘‘List of
Comorbidities’’ in this proposed rule.
In addition to determining the
appropriate tier assignment for case-mix
adjusting IRF PPS payments, the
diagnosis coding on the IRF–PAI is also
used within the presumptive
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compliance method that typically serves
as the first step in determining an IRF’s
compliance with the 60 percent rule. As
discussed in more detail in section VII.
of this proposed rule, the presumptive
compliance method is one of two ways
that Medicare’s contractors may
evaluate an IRF’s compliance with the
60 percent rule (the other method is
called the medical review method). The
diagnosis coding on the IRF–PAI
assessments from an IRF’s most recently
completed 12-month compliance review
period are examined (with the use of a
computer program) to determine
whether they contain any of the
diagnosis codes that are listed in the
‘‘ICD–9–CM Codes That Meet
Presumptive Compliance Criteria’’
(which is also known as the
presumptive methodology list).
Additionally, the computer program
examines the impairment group codes,
which are not ICD–9–CM or ICD–10–CM
codes, but are instead part of a separate
unique set of codes specifically
developed for the IRF PPS for assigning
the primary reason for admission to an
IRF. The computer program compares
the impairment group codes listed in
item #21 to the list of ‘‘Impairment
Group Codes That Meet Presumptive
Compliance Criteria’’ to determine
whether the patient’s impairment group
code presumptively meets the 60
percent rule requirements. In certain
cases, the list of ‘‘Impairment Group
Codes That Meet Presumptive
Compliance Criteria’’ contain Etiologic
Diagnosis exclusions. For example,
impairment group code 0005.4, which
represents a unilateral lower limb
amputation below the knee is included
on the list of ‘‘Impairment Group Codes
that Meet Presumptive Compliance
Criteria,’’ unless the associated Etiologic
Diagnosis recorded on the patient’s IRF–
PAI in item #22 is 895.0 (under ICD–9–
CM), which indicates a traumatic
amputation of the toe or toes. Therefore,
the list of ‘‘Impairment Group Codes
That Meet Presumptive Compliance
Criteria’’ contains diagnosis code
information (currently ICD–9–CM
codes) in addition to impairment group
codes.
As these lists all contain diagnosis
code information (currently in the form
of ICD–9–CM diagnosis codes) that is
used to case-mix adjust payments, to
determine an IRF’s presumptive
compliance with the 60 percent rule,
and to assist IRFs in accurately
completing the impairment group code
information on the IRF–PAI, the lists
must all be converted to ICD–10–CM for
the IRF PPS to assign payments and
classify IRF facilities appropriately
when ICD–10–CM becomes the required
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medical data code set for use on
Medicare claims and IRF–PAI
submissions.
B. Conversion of Diagnosis Information
From ICD–9–CM to ICD–10–CM for the
IRF PPS
In the September 5, 2012, final rule,
‘‘Administrative Simplification:
Adoption of a Standard for a Unique
Health Plan Identifier; Addition to the
National Provider Identifier
Requirements; and a Change to the
Compliance Date for the International
Classification of Diseases, 10th Edition
(ICD–10–CM and ICD–10–PCS) Medical
Data Code Sets’’ (77 FR 54664), The
Department of Health and Human
Services announced a delay in the
implementation of the ICD–10–CM and
ICD–10–PCS code sets from October 1,
2013 to October 1, 2014. The transition
to the ICD–10 code sets is required for
entities covered by the Health Insurance
Portability and Accountability Act of
1996 (HIPAA). On April 1, 2014, the
Protecting Access to Medicare Act of
2014 (PAMA) (Pub. L. 113–93) was
enacted. Section 212 of PAMA, titled
‘‘Delay in Transition from ICD–9 to
ICD–10 Code Sets,’’ provides that ‘‘[t]he
Secretary of Health and Human Services
may not, prior to October 1, 2015, adopt
ICD–10 code sets as the standard for
code sets under section 1173(c) of the
Social Security Act (42 U.S.C. 1320d–
2(c)) and section 162.1002 of title 45,
Code of Federal Regulations.’’ As of
now, the Secretary has not implemented
this provision under HIPAA.
We are addressing the conversion of
ICD–9–CM to ICD–10–CM codes for the
IRF PPS in this proposed rule, but in
light of PAMA, the effective date of
those changes would be the date when
ICD–10–CM becomes the required
medical data code set for use on
Medicare claims and IRF–PAI
submissions. Until that time, we would
continue to require use of the ICD–9–
CM codes for the IRF PPS.
CMS, along with our support
contractor 3M, has spent several years
implementing a process for the
transition from the use of ICD–9–CM
diagnosis codes to ICD–10–CM codes
within both the IRF PPS Grouper and
the software for evaluating IRFs’
compliance with the 60 percent rule. As
this will be the first time that ICD–10–
CM codes have been used for the IRF
PPS, we invite public comment on our
translation of the diagnosis code lists
into ICD–10–CM.
To ensure a smooth transition from
the use of ICD–9–CM diagnosis codes to
ICD–10–CM codes for the IRF PPS, we
propose to use the converted ICD–10–
CM lists that are available for download
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from the CMS Web site at https://
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InpatientRehabFacPPS/Data-Files.html
when ICD–10–CM becomes the required
medical data code set for use on
Medicare claims and IRF–PAI
submissions. To convert these lists from
ICD–9–CM to ICD–10–CM, we used the
General Equivalence Mappings (GEMs)
that were developed as a tool to assist
in converting ICD–9–CM-based
applications to ICD–10–CM. The GEMs
tool is a comprehensive translation
dictionary that was developed over a 3year period by CMS and the Centers for
Disease Control and Prevention (CDC),
with input from both the American
Hospital Association and the American
Health Information Management
Association (AHIMA). They can be used
to translate any ICD–9–CM-based data
into ICD–10–CM. For more information
on GEMs, please refer to the General
Equivalence Mappings Frequently
Asked Questions Booklet, which is
available for download from the CMS
Web site at https://www.cms.gov/
Medicare/Coding/ICD10/ICD-10-MSDRG-Conversion-Project.html. Like a
translation dictionary, the GEMs tool is
based on the complete meaning of a
given code, where ‘‘meaning’’ refers to
the correspondence between the official
documents (tabular and index) that
define each code set. The GEMs tool
contains a complete and comprehensive
bidirectional set of mappings between
ICD–9–CM and ICD–10–CM.
Our intention in converting the ICD–
9–CM diagnosis codes to ICD–10–CM
diagnosis codes within the IRF PPS was
for the converted codes to reflect the
same ‘‘meaning’’ as the original codes.
That is, except for the specific changes
to the ‘‘Impairment Group Codes that
Meet Presumptive Compliance Criteria’’
list and to the ‘‘ICD–9–CM Codes that
Meet Presumptive Compliance Criteria’’
list described in section VII of this
proposed rule, we did not intend to add
conditions to, or delete conditions from,
the ICD–9–CM codes used in the IRF
PPS. Thus, for all IRF lists containing an
ICD–9–CM code, we used the 2014
GEMs, which can be downloaded from
the CMS Web site at https://
www.cms.gov/Medicare/Coding/ICD10/
2014-ICD-10-CM-and-GEMs.html to
create a translation list, and then we
reviewed and revised that translation
list to ensure that all of the codes on the
new ICD–10–CM list reflect as closely as
possible the same ‘‘meaning’’ as the
codes that were present on the old ICD–
9–CM list. We invite public comment on
our translation of the lists into ICD–10–
CM for the IRF PPS.
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The majority of ICD–9–CM codes have
straightforward translation alternative(s)
in ICD–10–CM, where the diagnoses
classified to a given ICD–9–CM code are
replaced by one or more ICD–10–CM
codes. Wherever possible, we erred on
the side of including a given ICD–10–
CM code if we believed that a patient
coded with that ICD–10–CM code
would have been correctly coded with
the associated ICD–9–CM prior to the
transition from ICD–9–CM to ICD–10–
CM. Our intent is that the meaning of
the diagnosis codes is thereby
unchanged because all of the patient
records that would have been correctly
coded using the ICD–9–CM codes are
correctly coded using one or more of the
specific ICD–10–CM codes. For
example, the ICD–9–CM code 582.1,
‘‘Human herpesvirus 6 encephalitis,’’
translates directly to the ICD–10–CM
code B1001, ‘‘Human herpesvirus 6
encephalitis.’’
Below, we note two issues within
ICD–10–CM coding that differ from
ICD–9–CM coding, and therefore,
require special attention to ensure
correct coding of patient diagnoses
under ICD–10–CM.
• Combination Diagnosis Codes in
ICD–9–CM and ICD–10–CM—Both ICD–
9–CM and ICD–10–CM contain
diagnosis codes called combination
codes, meaning that one code contains
two or more diagnoses. Typically, one
diagnosis in the combination code is a
chronic disease, such as diabetes, and
the other diagnosis is an associated
manifestation or complication of the
disease, such as diabetic nephropathy.
ICD–10–CM contains many new
combination codes that are not
contained in ICD–9–CM. In terms of a
coded record, this means that the same
diagnoses coded with one ICD–10–CM
combination code may require two or
more ICD–9–CM codes to capture a
comparable level of detail. In addition,
ICD–9–CM contains combination codes
with diagnosis terminology that was
revised or deleted from ICD–10–CM,
with the result that the same diagnoses
coded with one ICD–9–CM code may
require two or more ICD–10–CM codes
to capture a comparable level of detail.
For example, ICD–9–CM code 115.11,
‘‘Infection by Histoplasma duboisii,
meningitis’’ translates to a pair of ICD–
10–CM codes, ‘‘B39.5—Histoplasmosis
duboisii’’ and code ‘‘G02—Meningitis in
other infectious and parasitic diseases
classified elsewhere.’’ In such instances,
the intent of our policy is unchanged
because the patient records that would
have been correctly coded using the
single ICD–9–CM code will now be
correctly coded using a combination of
ICD–10–CM codes. Furthermore, in
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such instances, to maintain the same
meaning and reflect the same diagnoses
as the ICD–9–CM code, we require the
patient’s IRF–PAI record to have all of
the relevant combination of ICD–10–CM
codes present to reflect the condition on
the list. If only one of the ICD–10–CM
codes that is required to reflect the
condition on the list is included on the
IRF–PAI, then the record will not
accurately reflect the same diagnoses as
the ICD–9–CM code. We note that, in
some cases, IRFs may need to use a
combination of ICD–10–CM codes to
represent an Etiologic Diagnosis on the
IRF–PAI form. For this reason, we will
add additional spaces to the Etiologic
Diagnosis field (Item #22) on the IRF–
PAI, effective October 1, 2015. The new
IRF–PAI form for IRF discharges
occurring on or after October 1, 2015, is
available for download from the CMS
Web site at https://www.cms.gov/
Medicare/Medicare-Fee-for-ServicePayment/InpatientRehabFacPPS/
IRFPAI.html.
• Seventh Character Extensions in
ICD–10–CM—Certain codes in ICD–10–
CM require the use of a seventh
character in the code, where each
seventh character of the code has one of
the following meanings:
++ The seventh character ‘‘A’’ in the
code indicates that the diagnosis is an
initial encounter.
++ The seventh character ‘‘D’’ in the
code indicates that the patient is
receiving aftercare for the injury or
illness.
++ The seventh character ‘‘S’’ in the
code indicates that the patient no longer
requires care for any aspect of the initial
injury or illness itself, but that the
patient is receiving care for a late effect
of the injury or illness.
In the IRF PPS context, these seventh
character extensions only apply to ICD–
10–CM diagnosis codes related to
certain types of injuries. The
corresponding ICD–9–CM diagnosis
codes that are currently listed on the
‘‘List of Comorbidities,’’ ‘‘ICD–9–CM
Codes That Meet Presumptive
Compliance Criteria,’’ and ‘‘Impairment
Group Codes That Meet Presumptive
Compliance Criteria’’ only map to the
seventh character extensions of ‘‘A’’ and
‘‘S,’’ but not to the seventh character
extension of ‘‘D,’’ using the GEMs tool.
Thus, including codes under ICD–10–
CM with the seventh character
extension of ‘‘D’’ would mean adding
conditions to the lists that were not
included on the lists under ICD–9–CM.
As we indicated previously, we did not
intend to add, delete, or alter the
conditions included on these lists in
transitioning from ICD–9–CM to ICD–
10–CM. Thus, we are not including
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ICD–10–CM codes with the seventh
character extension of ‘‘D’’ on the ICD–
10–CM versions of the ‘‘List of
Comorbidities,’’ ‘‘ICD–9–CM Codes That
Meet Presumptive Compliance Criteria,’’
or ‘‘Impairment Group Codes That Meet
Presumptive Compliance Criteria.’’ In
the IRF context, we define the patient as
having a current diagnosis requiring the
use of the seventh character extension of
‘‘A’’ if the patient requires current
treatment for the injury and if the
diagnosis has a direct effect on the
patient’s rehabilitation therapy program
in the IRF.
In addition, ICD–10–CM injury codes
specify that traumatic fractures are
coded using the appropriate seventh
character extension for an initial
encounter, where each seventh
character of the code has one of the
following meanings:
• The seventh character ‘‘A’’ in the
code indicates that the diagnosis is an
initial encounter for closed fracture.
• The seventh character ‘‘B’’ in the
code indicates that the diagnosis is an
initial encounter for open fracture.
• The seventh character ‘‘C’’ in the
code indicates that the diagnosis is an
initial encounter for open fracture type
IIIA, IIIB, or IIIC.
We used the GEMs tool and the
guiding rationales described above to
translate the following lists of ICD–9–
CM diagnosis codes for the IRF PPS into
lists of ICD–10–CM diagnosis codes:
• List of Comorbidities—This file
contains the list of comorbidities (ICD–
9–CM codes) that are used to determine
placement in tiers within the IRF
Grouper software. Placement in one of
the higher-paying tiers, which is
triggered by the presence of one of the
comorbidities on this list, results in a
higher prospective payment amount for
the IRF.
• ICD–9–CM Codes that Meet
Presumptive Compliance Criteria—This
file contains the list of diagnoses (ICD–
9–CM codes) that are used for
determining presumptive compliance
with the IRF 60 percent rule.
• Impairment Group Codes that Meet
Presumptive Compliance Criteria—This
file contains the list of IGCs that meet
presumptive compliance criteria for the
60 percent rule. While the IGC codes
themselves are not ICD–9–CM diagnosis
codes, the file contains a list of Etiologic
Diagnosis codes (ICD–9–CM codes) that
are excluded from particular IGCs. That
is, a given IGC that would otherwise
meet the presumptive compliance
criteria will not meet such criteria if the
patient has one of the ‘‘excluded’’
Etiologic Diagnoses for that IGC.
The converted ICD–10–CM code
tables associated with each of these lists
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are available for download from the
CMS Web site at https://www.cms.gov/
Medicare/Medicare-Fee-for-ServicePayment/InpatientRehabFacPPS/DataFiles.html in conjunction with this
proposed rule. We invite public
comment on our proposed translation of
the lists into ICD–10–CM, effective
when ICD–10–CM becomes the required
medical data code set for use on
Medicare claims and IRF–PAI
submissions.
XI. Proposed Revisions and Updates to
the Quality Reporting Program for IRFs
A. Background and Statutory Authority
Section 3004(b) of the Affordable Care
Act added section 1886(j)(7) to the Act,
which requires the Secretary to
implement a quality reporting program
(QRP) for IRFs. This program applies to
freestanding IRF hospitals, as well as
IRF units that are affiliated with acute
care facilities, which includes critical
access hospitals (CAHs).
Beginning in FY 2014, section
1886(j)(7)(A)(i) of the Act requires the
reduction of the applicable IRF PPS
annual increase factor, as previously
modified under section 1886(j)(3)(D) of
the Act, by 2 percentage points for any
IRF that fails to submit data to the
Secretary in accordance with
requirements established by the
Secretary for that fiscal year. Section
1886(j)(7)(A)(ii) of the Act notes that
this reduction may result in the increase
factor being less than 0.0 for a fiscal
year, and in payment rates under
subsection (j) for a fiscal year being less
than such payment rates for the
preceding fiscal year. Any reduction
based on failure to comply with the
reporting requirements is, in accordance
with section 1886(j)(7)(B) of the Act,
limited to the particular fiscal year
involved. The reductions are not to be
cumulative and will not be taken into
account in computing the payment
amount under subsection (j) for a
subsequent fiscal year.
Section 1886(j)(7)(C) of the Act
requires that each IRF submit data to the
Secretary for quality measures specified
by the Secretary. The required quality
measure data must be submitted to the
Secretary in a form, manner, and time
specified by the Secretary.
The Secretary is generally required to
specify measures that have been
endorsed by the entity with a contract
under section 1890(a) of the Act. This
contract is currently held by the
National Quality Forum (NQF), which is
a voluntary consensus standard-setting
organization. The NQF was established
to standardize health care quality
measurement and reporting through its
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consensus development process.
Additional information regarding NQF
and its consensus development process
is available at https://
www.qualityforum.org/Measuring_
Performance/Measuring_
Performance.aspx.
We have generally adopted NQFendorsed measures in our reporting
programs. However, section
1886(j)(7)(D)(ii) of the Act provides that
‘‘[i]n the case of a specified area or
medical topic determined appropriate
by the Secretary for which a feasible and
practical measure has not been endorsed
by the entity with a contract under
section 1890(a) [of the Act], the
Secretary may specify a measure that is
not so endorsed as long as due
consideration is given to measures that
have been endorsed or adopted by a
consensus organization identified by the
Secretary.’’
Section 1886(j)(7)(E) of the Act
requires the Secretary to establish
procedures for making data submitted
under the IRF QRP available to the
public. The Secretary must ensure that
each IRF is given the opportunity to
review the data that is to be made public
prior to the publication or posting of
this data.
We seek to promote higher quality
and more efficient health care for all
patients who receive care in acute and
post-acute care settings. Our efforts are,
in part, effectuated by quality reporting
programs coupled with the public
reporting of data collected under those
programs. The initial framework of the
IRF QRP was established in the FY 2012
IRF PPS final rule (76 FR 47873).
B. Quality Measures Previously
Finalized for and Currently Used in the
IRF Quality Reporting Program
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1. Measures Finalized in the FY 2012
IRF PPS Final Rule
In the FY 2012 IRF PPS final rule (76
FR 47874 through 47878), we adopted
applications of 2 quality measures for
use in the first data reporting cycle of
the IRF QRP: (1) An application of
Catheter-Associated Urinary Tract
Infection (CAUTI) for Intensive Care
Unit Patients (NQF#0138); and (2) an
application of Percent of Residents with
Pressure Ulcers That Are New or
Worsened (Short-Stay) (NQF #0678). We
adopted applications of these 2
measures because neither of them, at the
time, was endorsed by the NQF for the
IRF setting. We also discussed our plans
to propose a 30-Day All-Cause RiskStandardized Post-IRF Discharge
Hospital Readmission Measure.
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2. Measures Finalized in the CY 2013
OPPS/ASC Final Rule
In the CY 2013 OPPS/ASC final rule
(77 FR 68500 through 68507), we
adopted:
• Updates to the CAUTI measure to
reflect the NQF’s expansion of this
quality measure to the IRF setting,
replacing our previous adoption of an
application of the quality measure for
the IRF QRP;
• A policy that would allow any
quality measure adopted for use in the
IRF QRP to remain in effect until the
measure was actively removed,
suspended, or replaced (and specifically
applied this policy to the CAUTI and
Pressure Ulcer measures that had
already been adopted for use in the IRF
QRP); and
• A subregulatory process to
incorporate NQF updates to IRF quality
measure specifications that do not
substantively change the nature of the
measure.
At the time of the CY 2013 OPPS/ASC
final rule, the NQF had endorsed the
Pressure Ulcer measure for the IRF
setting, and retitled it to cover both
residents and patients within LongTerm Care Hospitals (LTCH) and IRF
settings, in addition to the Nursing
Home/Skilled Nursing Facility setting.
Although the quality measure had been
expanded to the IRF setting, we
concluded that it was not possible to
adopt the NQF-endorsed measure
Percent of Residents or Patients with
Pressure Ulcers That Are New or
Worsened (Short-Stay) (NQF #0678)
because it is a risk-adjusted measure,
and the ‘‘Quality Indicator’’ section of
the IRF–PAI did not contain the data
elements that would be needed to
calculate a risk-adjusted quality
measure. As a result, we decided to: (1)
adopt an application of the Pressure
Ulcer measure that was a non-riskadjusted Pressure Ulcer measure
(numerator and denominator data only);
(2) collect the data required for the
numerator and the denominator using
the current version of the IRF–PAI; (3)
delay public reporting of Pressure Ulcer
measure results until we could amend
the IRF–PAI to add the data elements
necessary for risk-adjusting the Pressure
Ulcer measure, and then (4) adopt the
NQF-endorsed version of the measure
covering the IRF setting through
rulemaking (77 FR 68507).
a. National Healthcare Safety Network
(NHSN) Catheter Associated Urinary
Tract Infection (CAUTI) Outcome
Measure (NQF #0138)
In the CY 2013 OPPS/ASC final rule,
we adopted the current version of
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NHSN CAUTI Outcome Measure (NQF
#0138) (replacing an application of this
measure that we initially adopted in the
FY 2012 IRF PPS (76 FR 47874 through
47886)). The NQF-endorsed measure
applies to the FY 2015 adjustments to
the IRF PPS annual increase factor and
all subsequent annual increase factors
(77 FR 68504 through 68505).
Since the publication of the CY 2013
OPPS/ASC final rule, the NHSN CAUTI
quality measure has not changed, and it
remains an active part of the IRF QRP.
Additional information about this
measure can be found at https://
www.qualityforum.org/QPS/0138. Our
procedures for data submission for this
measure have also remained the same.
IRFs should continue to submit their
CAUTI measure data to the Centers for
Disease Control and Prevention (CDC)
NHSN. Details regarding submission of
IRF CAUTI data to the NHSN can be
found at the NHSN Web site at https://
www.cdc.gov/nhsn/inpatient-rehab/
index.html.
b. Application of Percent of Residents or
Patients With Pressure Ulcers That Are
New or Worsened (Short-Stay) (NQF
#0678)
In the CY 2013 OPPS/ASC final rule
(77 FR 68500 through 68507), we
adopted a non-risk-adjusted application
of this measure using the 2012 version
of the IRF–PAI.
3. Measures Finalized in the FY 2014
IRF/PPS Final Rule
For the FY 2016 adjustments to the
IRF PPS annual increase factor, in
addition to retaining the previously
discussed CAUTI and Pressure Ulcer
measures, we finalized the adoption of
one new measure: Influenza Vaccination
Coverage among Healthcare Personnel
(NQF #0431) (78 FR 47902 through
47921). In addition, for the FY 2017
adjustments to the IRF PPS annual
increase factor, we adopted three quality
measures: (1) All-Cause Unplanned
Readmission Measure for 30 Days PostDischarge from Inpatient Rehabilitation
Facilities; (2) Percent of Residents or
Patients Who Were Assessed and
Appropriately Given the Seasonal
Influenza Vaccine (Short-Stay) (NQF
#0680); and (3) the NQF-endorsed
version of Percent of Residents or
Patients with Pressure Ulcers That are
New or Worsened (Short-Stay) (NQF
#0678).
a. Influenza Vaccination Coverage
Among Healthcare Personnel (NQF
#0431)
In the FY 2014 IRF PPS final rule (78
FR 47905 through 47906), we adopted
the CDC developed Influenza
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Vaccination Coverage among Healthcare
Personnel (NQF #0431) quality measure
that is currently collected by the CDC
via the NHSN. This measure reports on
the percentage of IRF health care
personnel (HCP) who receive the
influenza vaccination.
In the FY 2014 IRF PPS final rule, we
finalized that the Influenza Vaccination
Coverage among Healthcare Personnel
(NQF #0431) measure have its own
reporting period to align with the
influenza vaccination season, which is
defined by the CDC as October 1 (or
when the vaccine becomes available)
through March 31. We further finalized
that IRFs will submit their data for this
measure to the NHSN (https://
www.cdc.gov/nhsn/). The National
Healthcare Safety Network (NHSN) is a
secure Internet-based healthcareassociated infection tracking system
maintained by the CDC and can be
utilized by all types of health care
facilities in the United States, including
IRFs. The NHSN collects data via a webbased tool hosted by the CDC.
Information on the NHSN system,
including protocols, report forms, and
guidance documents, can be found at
https://www.cdc.gov/nhsn/. NHSN will
submit the HCP influenza vaccination
adherence percentage data to CMS on
behalf of the facility. We also finalized
that for the FY 2016 adjustments to the
IRF PPS annual increase factor, data
collection will cover the period from
October 1, 2014 (or when the vaccine
becomes available) through March 31,
2015.
Details related to the use of the NHSN
for data submission and information on
definitions, numerator data,
denominator data, data analyses, and
measure specifications for the Influenza
Vaccination Coverage among Healthcare
Personnel (NQF #0431) measure can be
found at https://www.cdc.gov/nhsn/
inpatient-rehab/hcp-vacc/.
Because IRFs are already using the
NHSN for the submission of CAUTI
measure data, the additional
administrative burden related to data
collection and submission for this
measure under the IRF QRP should be
minimal.
While IRFs can enter information in
NHSN at any point during the influenza
vaccination season for the Influenza
Vaccination Coverage among Healthcare
Personnel (NQF #0431) measure, data
submission is only required once per
influenza vaccination season, unlike the
CAUTI measure, which is the other
quality measure finalized for the IRF
QRP that utilizes the CDC NHSN. We
finalized that the final deadline for data
submission associated with this quality
measure will be May 15th of each year.
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Also, the data collection period for
this quality measure is not 12 months,
as with other measures, but is
approximately 6 months (that is,
October 1, or when the vaccine becomes
available, through March 31 of the
following year). This data collection
period is applicable only to Influenza
Vaccination Coverage among Healthcare
Personnel (NQF #0431), and is not
applicable to any other IRF QRP
measures, proposed or adopted, unless
explicitly stated. The measure
specifications for this measure can be
found at https://www.cdc.gov/nhsn/
inpatient-rehab/hcp-vacc/
and at https://www.qualityforum.org/
QPS/0431.
b. All-Cause Unplanned Readmission
Measure for 30 Days Post-Discharge
From Inpatient Rehabilitation Facilities
(NQF #2502, Review Pending)
In the FY 2014 IRF PPS final rule (78
FR 47906 through 47910), we adopted
an All-Cause Unplanned Readmission
Measure for 30 Days Post-Discharge
from Inpatient Rehabilitation Facilities.
This quality measure estimates the riskstandardized rate of unplanned, allcause hospital readmissions for cases
discharged from an IRF who were
readmitted to a short-stay acute care
hospital or LTCH, within 30 days of an
IRF discharge. We noted that this is a
claims-based measure that will not
require reporting of new data by IRFs
and thus will not be used to determine
IRF reporting compliance for the IRF
QRP. Please note that this measure is
not NQF-endorsed, but it was submitted
by CMS to the NQF for review on
February 5, 2014 (https://
www.qualityforum.org/All-Cause_
Admissions_and_Readmissions_
Measures.aspx).
c. Percent of Residents or Patients Who
Were Assessed and Appropriately Given
the Seasonal Influenza Vaccine (ShortStay) (NQF #0680)
In the FY 2014 IRF PPS final rule (78
FR 47906 through 47911), we adopted
the Percent of Residents or Patients Who
Were Assessed and Appropriately Given
the Seasonal Influenza Vaccine (ShortStay) (NQF #0680) measure for the IRF
QRP, and we will collect the data for
this measure through the addition of
data items to the ‘‘Quality Indicator’’
section of the IRF–PAI.
We also added the data elements
needed for this measure, as an influenza
data item set, to the ‘‘Quality Indicator’’
section of the IRF–PAI, and data for this
measure will be collected using this
revised version of the IRF–PAI. The
revised IRF–PAI will become effective
on October 1, 2014. These data elements
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are harmonized with data elements
(O0250: Influenza Vaccination Status)
from the Minimum Data Set (MDS) 3.0
and the LTCH CARE Data Set Version
2.01, and the specifications and data
elements for this measure are available
at https://www.cms.gov/Medicare/
Medicare-Fee-for-Service-Payment/
InpatientRehabFacPPS/IRFPAI.html.
For purposes of this quality measure,
the influenza vaccination season takes
place from October 1 (or when the
vaccine becomes available) through
March 31 each year. The measure
calculation and public reporting of this
measure (once public reporting is
implemented) will also be based on the
influenza vaccination season, starting
on October 1 (or when the vaccine
becomes available) and ending on
March 31 of the subsequent year.
The IRF–PAI Training Manual
indicates how providers should
complete these items during the time
period outside of the vaccination season
(that is, prior to October 1, or when the
vaccine becomes available, and after
March 31 of the following year). The
measure specifications for this measure,
Percent of Residents or Patients Who
Were Assessed and Appropriately Given
the Seasonal Influenza Vaccine (ShortStay) (NQF #0680), can be found on the
CMS Web site at https://www.cms.gov/
Medicare/Quality-Initiatives-PatientAssessment-Instruments/
NursingHomeQualityInits/
NHQIQualityMeasures.html. Additional
information on this measure can also be
found at https://www.qualityforum.org/
QPS/0680.
d. Percent of Residents or Patients With
Pressure Ulcers That Are New or
Worsened (Short-Stay) (NQF #0678)—
Adoption of the NQF-Endorsed Version
of This Measure
In the FY 2014 IRF PPS final rule (78
FR 47911 through 47912), we adopted
the NQF-endorsed version of the
Percent of Residents or Patients with
Pressure Ulcers That Are New or
Worsened (Short-Stay) (NQF #0678),
with data collection beginning October
1, 2014, using the revised version of the
IRF–PAI, for quality reporting affecting
the FY 2017 adjustments to the IRF PPS
annual increase factor and subsequent
year annual increase factors. We noted
in the rule that, until September 30,
2014, IRFs should continue to submit
pressure ulcer data using the version of
the IRF–PAI released on October 1,
2012, for the purposes of data
submission requirements for the FY
2015 and FY 2016 adjustments to the
annual IRF PPS increase factor.
In the FY 2014 IRF PPS final rule (78
FR 47912 through 47916), we also
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adopted a revised version of the IRF–
PAI starting October 1, 2014, for the FY
2017 adjustments to the IRF PPS annual
increase factor and subsequent year
annual increase factors.
TABLE 8—QUALITY MEASURES FINALIZED IN THE FY 2014 IRF PPS FINAL RULE AFFECTING THE FY 2016 AND 2017
ADJUSTMENTS TO THE IRF ANNUAL INCREASE FACTORS AND SUBSEQUENT YEAR INCREASE FACTORS
NQF measure
ID
Measure title
NQF #0431 .......
NQF #0680 .......
NQF #0678 .......
Influenza Vaccination Coverage among Healthcare Personnel+.
Percent of Residents or Patients Who Were Assessed and Appropriately Given the Seasonal Influenza Vaccine (Short-Stay).
Percent of Residents or Patients with Pressure Ulcers That Are New or Worsened (Short-Stay)*—Adoption of the NQF-Endorsed Version of this Measure.
All-Cause Unplanned Readmission Measure for 30 Days Post-Discharge from Inpatient Rehabilitation Facilities.
NQF #2502** ....
+ Using
the CDC NHSN
* Using October 1, 2014, release of the IRF–PAI
** Not NQF-endorsed, CMS submitted for NQF review on February 5, 2014.
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C. Proposed New IRF QRP Quality
Measures Affecting the FY 2017
Adjustments to the IRF PPS Annual
Increase Factor and Beyond General
Considerations Used for Selection of
Quality Measures for the IRF QRP
In the FY 2014 IRF PPS final rule (78
FR 47094) we noted that the successful
development of an IRF quality reporting
program that promotes the delivery of
high-quality health care services in IRFs
is our paramount concern. We discussed
several of the factors we had taken into
account in selecting measures to
propose and finalize. We do wish to
note here that, in our measure selection
activities for the IRF QRP, we must take
into consideration input we receive
from a multi-stakeholder group, the
Measure Applications Partnership
(MAP), which is convened by the NQF
as part of a pre-rulemaking process that
we have established and are required to
follow under section 1890A of the Act.
The MAP is a public-private partnership
comprised of multi-stakeholder groups
convened by the NQF for the primary
purpose of providing input to CMS on
the selection of certain categories of
quality and efficiency measures, as
required by section 1890A(a)(3) of the
Act. By February 1 of each year, the
NQF must provide MAP input to CMS.
We have taken the MAP’s input into
consideration in selecting measures for
this rule. Input from the MAP is located
at https://www.qualityforum.org/
Publications/2014/01/MAP_PreRulemaking_Report__2014_
Recommendations_on_Measures_for_
More_than_20_Federal_Programs.aspx.
We also take into account national
priorities, such as those established by
the National Priorities Partnership
(NPP) at https://www.qualityforum.org/
Setting_Priorities/NPP/National_
Priorities_Partnership.aspx, the HHS
Strategic Plan at https://www.hhs.gov/
secretary/about/priorities/
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priorities.html, the National Strategy for
Quality Improvement in Health Care at
https://www.ahrq.gov/workingforquality/
nqs/nqs2012annlrpt.pdf, and the CMS
Quality Strategy at https://www.cms.gov/
Medicare/Quality-Initiatives-PatientAssessment-Instruments/
QualityInitiativesGenInfo/CMS-QualityStrategy.html.
To the extent practicable, we have
sought to adopt measures that have been
endorsed by a national consensus
organization, recommended by multistakeholder organizations, and
developed with the input of providers,
purchasers/payers, and other
stakeholders.
For the FY 2017 adjustments to the
IRF PPS annual increase factor, in
addition to retaining the previously
discussed CAUTI, Pressure Ulcer,
Patient Influenza (NQF #0680),
Healthcare Personnel Influenza (NQF
#0431), and Hospital Readmission (NQF
#2502) quality measures, we propose to
adopt two new quality measures: (1)
National Healthcare Safety Network
(NHSN) Facility-Wide Inpatient
Hospital-Onset Methicillin-Resistant
Staphylococcus aureus (MRSA)
Bacteremia Outcome Measure (NQF
#1716), and (2) National Healthcare
Safety Network (NHSN) Facility-Wide
Inpatient Hospital-Onset Clostridium
difficile Infection (CDI) Outcome
Measure (NQF #1717). These quality
measures are discussed in more detail
below.
1. Proposed Quality Measure #1:
National Healthcare Safety Network
(NHSN) Facility-Wide Inpatient
Hospital-Onset Methicillin-Resistant
Staphylococcus aureus (MRSA)
Bacteremia Outcome Measure (NQF
#1716)
NHSN Facility-Wide Inpatient
Hospital-Onset MRSA Bacteremia
Outcome Measure (NQF #1716) is a
measure of hospital-onset unique blood
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source MRSA laboratory-identified
events among all inpatients in the
facility. This measure was adopted by
the Hospital Inpatient Quality Reporting
(IQR) Program in the FY 2012 IPPS/
LTCH PPS final rule (76 FR 51630,
51645) for the FY 2015 payment
determination, with data collection
beginning on January 1, 2013. It was
also adopted by the LTCH Quality
Reporting Program in the FY 2014 IPPS/
LTCH PPS final rule (78 FR 50712
through 50717) for the FY 2017 payment
determination, with data collection
beginning on January 1, 2015. This
measure was developed by the CDC and
is NQF-endorsed. We included the
proposed MRSA measure in the
December 1, 2013, Measures under
Consideration (MUC) list. The MAP
conditionally supported the direction of
this quality measure, noting that the
measure is not ready for implementation
and suggesting that we harmonize this
measure with other infection measures.
We respectfully disagree with the
position of the MAP, as the MRSA
measure is fully endorsed by the NQF
for various settings, including the IRF
setting, which speaks to its suitability
for use in that setting. Methicillinresistant Staphylococcus aureus (S.
aureus) infections are caused by a strain
of S. aureus bacteria that has become
resistant to antibiotics commonly used
to treat S. aureus infections. Between
2003 and 2004, an estimated 4.1 million
persons in the United States had nasal
colonization with MRSA.1 In addition,
in 2005 there were an estimated 94,000
invasive MRSA infections in the United
States, which were associated with an
estimated 18,000 deaths.2 Healthcare1 Gorwitz RJ, Kruszon-Moran D, McAllister SK, et
al. Changes in the prevalence of nasal colonization
with Staphylococcus aureus in the United States,
2001–2004. J Infect Dis 2008; 197: 1226–34.
2 Department of Health and Human Services.
National Action Plan to Prevent HealthcareAssociated Infections: Roadmap to Elimination.
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associated MRSA infections occur
frequently in patients whose treatment
involves the use of invasive devices,
such as catheters or ventilators.
Currently, there are 22 States that
have implemented a MRSA Prevention
Collaborative, and at least 15 states that
have reporting mandates for MRSA
bacteremia in NHSN.3 For Medicare
populations, MRSA infection is
associated with increased cost, hospital
length of stay, morbidity, and mortality.
MRSA infections can be a consequence
of poor quality of care.4 5 Older adults
and patients in health care settings are
most vulnerable to MRSA infections, as
these patients may have weakened
immune systems. A recent study
reported that 9.2 percent of patients
without a history of MRSA tested
positive for MRSA at the time of the IRF
admission.6 We also recently analyzed
IRF claims submitted to Medicare
during CY 2009. According to our
analysis, IRFs reported a total of 3,464
cases of MRSA in 2009, including cases
either present on admission or acquired
during the IRF stay (‘‘present on
admission’’ indicators for ICD–9 codes
are not available on the IRF claims) 7.
We believe it is important to collect data
on MRSA infections acquired during the
IRF stay, because MRSA infection is
associated with increased cost, hospital
length of stay, morbidity, and mortality.
We propose to use the CDC/NHSN
data collection and submission
framework for reporting of the proposed
NHSN Facility-Wide Inpatient HospitalOnset MRSA Bacteremia Outcome
Measure (NQF #1716). This is the same
framework currently used for reporting
the CAUTI (NQF #0138) and Influenza
Vaccination Coverage among Healthcare
Available at https://www.hhs.gov/ash/initiatives/hai/
infection.html.
3 Centers for Disease Control and Prevention.
State Has Implemented a MRSA Prevention
Collaborative. Available at https://www.cdc.gov/hai/
stateplans/states-w-MRSA-collaborative.html.
4 Centers for Disease Control and Prevention.
People at Risk of Acquiring MRSA Infections.
Available at https://www.cdc.gov/mrsa/.
5 Centers for Disease Control and Prevention.
Management of Multidrug-Resistant Organisms in
Healthcare Settings, 2006. Available at https://
www.cdc.gov/hicpac/pdf/guidelines/
MDROGuideline2006.pdf.
6 Rabinowitz RP, Kufera JA, Makely MJ. A Hidden
Reservoir of Methicillin-resistant Staphylococcus
aureus and Vancomyvin-resistant Enterococcus in
Patients Newly Admitted to an Acute Rehabilitation
Hospital. Physical Medicine & Rehabilitation 2012
(4):18–22.
7 Bernard SL, Dalton K, Lenfestey N F, Jarrett NM,
Nguyen KH, Sorensen AV, Thaker S, West ND.
Study to support a CMS Report to Congress: Assess
feasibility of extending the hospital-acquired
conditions—present on admission IPPS payment
policy to non-IPPS payment environments.
Prepared for the Centers for Medicare & Medicaid
Services (CMS Contract No. HHSM–500–T00007).
2011.
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Personnel (NQF #0431) quality
measures. Details related to the
procedures for using the NHSN for data
submission and information on
definitions, numerator data,
denominator data, data analyses, and
measure specifications for the proposed
NHSN Facility-Wide Inpatient HospitalOnset MRSA Bacteremia Outcome
Measure (NQF #1716) can be found at
https://www.qualityforum.org/QPS/1716
and https://www.cdc.gov/nhsn/inpatientrehab/mdro-cdi/. For January
2012 through January 2013, an
estimated 15 IRFs reported laboratoryidentified MRSA event data into NHSN.
We refer readers to section XI.B.3.a. of
this proposed rule for more information
on data collection and submission. We
invite public comment on this proposed
measure and on data collection and
submission procedures for the proposed
measure for the FY 2017 adjustments to
the IRF PPS annual increase factor and
subsequent year increase factors.
2. Proposed Quality Measure #2:
National Healthcare Safety Network
(NHSN) Facility-Wide Inpatient
Hospital-Onset Clostridium difficile
Infection (CDI) Outcome Measure (NQF
#1717)
NHSN Facility-Wide Inpatient
Hospital-Onset CDI Outcome Measure
(NQF #1717) is a measure of hospitalonset CDI laboratory-identified events
among all inpatients in the facility. This
measure was adopted by the Hospital
IQR Program in the FY 2012 IPPS/LTCH
PPS final rule (76 FR 51630 through
51631) for the FY 2015 payment
determination, with data collection
having begun on January 1, 2013. It was
also adopted by the LTCHQR program
in the FY 2014 IPPS/LTCH PPS final
rule (78 FR 50712 through 50717) for
the FY 2017 payment determination,
with data collection beginning on
January 1, 2015. This measure was
developed by the CDC and is NQFendorsed. We included the proposed
CDI measure in the December 1, 2013,
MUC list. The MAP supported this
measure.8 CDI can cause a range of
serious symptoms, including diarrhea,
serious intestinal conditions, sepsis, and
death.9 In the United States, CDI is
8 National Quality Forum. Measure Applications
Partnership Pre-Rulemaking Report: 2014
Recommendations of Measures Under
Consideration by HHS: February 2014. Available at:
https://www.qualityforum.org/Publications/2014/
01/MAP_Pre-Rulemaking_Report__2014_
Recommendations_on_Measures_for_More_than_
20_Federal_Programs.aspx.
9 McDonald LC, Coignard B, Dubberke E, et al.
Recommendations for surveillance of Clostridium
difficile-associated disease. Infect Control Hosp
Epidemiol 2007;28:140–145. Available at: https://
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responsible for an estimated 337,000
infections and 14,000 deaths annually.10
According to the HHS National Action
Plan to Prevent Health Care-Associated
Infections, CDI rates have increased in
recent years.11 The CDC estimates that
CDIs cost more than $1 billion in
additional health care costs each year.12
In recent years, CDIs have become more
frequent, more severe, and more
difficult to treat. Mortality rates for CDIs
are highest in elderly patients.13 Rates of
CDI among hospitalized patients aged
65 years and older increased 200
percent between 1996 and 2009, while
deaths related to CDIs increased 400
percent between 2000 and 2007, partly
attributed to a stronger germ strain.14 15
Further, the emergence and continued
rise of CDI as a leading cause of
gastroenteritis hospitalizations and
deaths, particularly in the elderly, has
been documented.16 CDI is associated
with increased patient care costs,
hospital lengths of stay, morbidity, and
mortality. CDI can be a consequence of
poor quality of care for Medicare
patients.17
Illness from CDI most commonly
affects older adults in hospitals or in
facilities with longer lengths of stay,
where germs spread more easily,
www.jstor.org/stable/pdfplus/10.1086/
511798.pdf?acceptTC=true.
10 Centers for Disease Control and Prevention.
Investigating Clostridium difficile Infections Across
the U.S. Available at https://www.cdc.gov/hai/eip/
pdf/Cdiff-factsheet.pdf.
11 Department of Health and Human Services.
National Action Plan to Prevent Health CareAssociated Infections: Roadmap to Elimination.
Available at https://www.hhs.gov/ash/initiatives/hai/
infection.html.
12 Centers for Disease Control and Prevention.
Making Health Care Safer: Stopping C. difficile
Infections. Available at: https://www.cdc.gov/
VitalSigns/HAI/.
13 Centers for Disease Control and Prevention.
Investigating Clostridium difficile Infections Across
the U.S. Available at: https://www.cdc.gov/hai/eip/
pdf/Cdiff-factsheet.pdf.
14 Centers for Disease Control and Prevention.
QuickStats: Rates of Clostridium difficile Infection
Among Hospitalized Patients Aged ≥65 Years,* by
Age Group—National Hospital Discharge Survey,
United States, 1996–2009. MMWR, 60(34); 1171.
Available at: https://www.cdc.gov/mmwr/preview/
mmwrhtml/mm6034a7.htm.
15 Centers for Disease Control and Prevention.
Making Health Care Safer: Stopping C. difficile
Infections. Available at: https://www.cdc.gov/
VitalSigns/HAI/.
16 Aron J. Hall, Aaron T. Curns, L. Clifford
McDonald, Umesh D. Parashar, and Ben A.
Lopman. The Roles of Clostridium difficile and
Norovirus Among Gastroenteritis-Associated Deaths
in the United States, 1999–2007. Clinical Infectious
Diseases 2012;55(2):216–23 Published by Oxford
University Press on behalf of the Infectious Diseases
Society of America 2012. DOI: 10.1093/cid/cis386.
17 Dubberke ER, Reske KA, Olsen MA, McDonald
LC, Fraser VJ. Short- and long-term attributable
costs of Clostridium difficile-associated disease in
nonsurgical inpatients. Clin Infect Dis 2008;
46:497–504. Available at: https://
cid.oxfordjournals.org/content/46/4/497.long.
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antibiotic use is more common, and
people are especially vulnerable to
infection.18 Considering CDIs are
increasing in all health care facilities,
and the IRF population is highly
vulnerable to CDI, it is important to
measure these rates in IRFs.19 According
to an analysis of ICD–9 codes reported
on Medicare claims, IRFs reported 7,720
cases of CDI-associated disease in
2009.20 Currently, the ‘‘present on
admission’’ indicators for ICD–9 codes
are not available on IRF claims.
Therefore, we are unable to determine
whether the 7,720 reported cases of CDI
were present on admission or acquired
during the IRF stay. There is evidence
that CDIs are preventable, and therefore,
surveillance and measuring infection
rates is important to reducing infections
and improving patient safety. Thirtyseven states have implemented a C.
difficile Prevention Collaborative, and at
least 15 states have reporting mandates
for CDI LabID Events in NHSN.21 The
goal for this proposed CDI measure is to
collect and publicly report IRF data on
CDIs so that IRFs will be better informed
about the incidence of this condition
and better equipped to prevent it.
We propose to use the CDC/NHSN
data collection and submission
framework for reporting of the proposed
NHSN Facility-Wide Inpatient HospitalOnset CDI Outcome Measure (NQF
#1717). This framework is currently
used for reporting the CAUTI (NQF
#0138) and Influenza Vaccination
Coverage among Healthcare Personnel
(NQF #0431) measures. Details related
to the procedures for using the NHSN
for data submission and information on
definitions, numerator data,
denominator data, data analyses, and
measure specifications for the proposed
NHSN Facility-Wide Inpatient HospitalOnset CDI Outcome Measure (NQF
#1717) can be found at https://
www.qualityforum.org/QPS/1717 and
https://www.cdc.gov/nhsn/inpatientrehab/mdro-cdi/. We invite
public comment on this proposed
quality measure and on data collection
and submission procedures for the
proposed quality measure for the FY
2017 adjustments to the IRF PPS annual
increase factor and subsequent year
increase factors.
D. IRF QRP Quality Measures and
Concepts Under Consideration for
Future Years
We are considering whether to
propose one or more of the quality
measures and quality measure topics
listed in Table 9 for future years in the
IRF QRP. We invite public comment on
these quality measures and quality
measure topics, specifically comments
regarding the clinical importance of
reported measure data, the feasibility of
measure data collection and
implementation, current use of reported
measure data, and usefulness of the
reported measure data to inform quality
of care delivered to IRF patients.
TABLE 9—FUTURE MEASURES AND MEASURE TOPICS UNDER CONSIDERATION FOR PROPOSAL FOR THE IRF QUALITY
REPORTING PROGRAM
National Quality Strategy Priority: Patient Safety
Application of Percent of Residents Experiencing One or More Falls with Major Injury (Long-Stay) (NQF #0674).
National Quality Strategy Priority: Patient and Caregiver-Centered Care
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Application of Percent of Residents Who Self-Report Moderate to Severe Pain (Short-Stay) (NQF #0676).
Not Endorsed/Under Development—IRF Functional Outcome Measure: Change in Mobility Score for Medical Rehabilitation Patients.
Not Endorsed/Under Development—IRF Functional Outcome Measure: Change in Self-Care Score for Medical Rehabilitation Patients.
Not Endorsed/Under Development—IRF Functional Outcome Measure: Discharge Mobility Score for Medical Rehabilitation Patients.
Not Endorsed/Under Development—IRF Functional Outcome Measure: Discharge Self-Care Score for Medical Rehabilitation Patients.
In particular, we are considering
whether to propose one or more of the
following measures for future year IRP
PPS increase factors: (1) IRF Functional
Outcome Measure: Change in Mobility
Score for Medical Rehabilitation
Patients; (2) IRF Functional Outcome
Measure: Change in Self-Care Score for
Medical Rehabilitation Patients; (3) IRF
Functional Outcome Measure: Discharge
Mobility Score for Medical
Rehabilitation Patients; (4) IRF
Functional Outcome Measure: Discharge
Self-Care Score for Medical
Rehabilitation Patients; (5) Application
of the Percent of Residents Experiencing
One or More Falls with Major Injury
(Long-Stay) (NQF #0674); and (6)
Application of Percent of Residents
Who Self-Report Moderate to Severe
Pain (Short-Stay) (NQF #0676).
IRFs are designed to provide intensive
rehabilitation services to patients.
Patients seeking care in IRFs are those
whose illness, injury, or condition has
resulted in a loss of function, and for
whom rehabilitative care is expected to
help regain that function. Examples of
conditions treated in IRFs include
stroke, spinal cord injury, hip fracture,
brain injury, neurological disorders, and
other diagnoses characterized by loss of
function.
Given that the primary goal of
rehabilitation is improvement in
functional status, IRF clinicians have
traditionally assessed and documented
patients’ functional statuses at
admission and discharge to evaluate the
effectiveness of the rehabilitation care
provided to individual patients, as well
as the effectiveness of the rehabilitation
unit or hospital overall. In addition,
research results have found differences
in IRF patients’ functional outcomes,
and thus we believe there is an
opportunity for improvement in this
area. Differences in IRF patients’
functional outcomes have been found by
geographic region, insurance type, and
race/ethnicity after adjusting for key
patient demographic characteristics and
admission clinical status. This supports
the need to monitor IRF patients’
18 Centers for Disease Control and Prevention.
Frequently Asked Questions about Clostridium
difficile for Healthcare Providers. Available at:
https://www.cdc.gov/HAI/organisms/cdiff/Cdiff_
faqs_HCP.html.
19 Marciniak C, Chen D, Stein A, et al. Prevalence
of Clostridium Difficile Colonization at Admission
to Rehabilitation. Archives of Physical Medicine
and Rehabilitation 2006; 87(8):1086–1090.
20 Bernard SL, Dalton K, Lenfestey N F, Jarrett
NM, Nguyen KH, Sorensen AV, Thaker S, West ND.
Study to support a CMS Report to Congress: Assess
feasibility of extending the hospital-acquired
conditions—present on admission IPPS payment
policy to non-IPPS payment environments.
Prepared for the Centers for Medicare & Medicaid
Services (CMS Contract No. HHSM–500–T00007).
2011.
21 Centers for Disease Control and Prevention.
State Has Implemented a C. diff Prevention
Collaborative. Available at: https://www.cdc.gov/hai/
stateplans/states-w-CDI-collaborative.html.
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functional outcomes. For example,
Reistetter 22 examined discharge motor
function and functional gain among IRF
patients with stroke and found
statistically significant differences in
functional outcomes by U.S. geographic
region, by insurance type, and race/
ethnicity group after risk adjustment.
O’Brien and colleagues 23 found
differences in functional outcomes
across race/ethnicity groups in their
analysis of Medicare assessment data for
patients with stroke after risk
adjustment. O’Brien and colleagues 24
also noted that the overall IRF length of
stay decreased 1.8 days between 2002
and 2007 and that shorter IRF stays
were significantly associated with lower
functioning at discharge.
We are currently developing 4
functional status quality measures for
the IRF setting:
(1) Quality Measure: IRF Functional
Outcome Measure: Change in Mobility
Score for Medical Rehabilitation
Patients for Medical Rehabilitation
Patients;
(2) Quality Measure: IRF Functional
Outcome Measure: Change in Self-Care
Score for Medical Rehabilitation
Patients for Medical Rehabilitation
Patients;
(3) Quality Measure: IRF Functional
Outcome Measure: Discharge Mobility
Score for Medical Rehabilitation
Patients for Medical Rehabilitation
Patients; and
(4) Quality Measure: IRF Functional
Outcome Measure: Discharge Self-Care
Score for Medical Rehabilitation
Patients for Medical Rehabilitation
Patients.
We invite public comment on our
intent to propose these measures for the
FY 2019 adjustments to the IRF PPS
annual increase factor and subsequent
year increase factors. The draft measure
specifications for these measures are
posted at https://www.cms.gov/Medicare/
Quality-Initiatives-Patient-AssessmentInstruments/IRF-Quality-Reporting/IRFQuality-Reporting-ProgramDetails.html. The development of these
measures is expected to be completed in
2014, at which time they will be
submitted to the NQF, the entity with a
contract under section 1890(a) of the
Act, for review.
E. Proposed Timeline for Data
Submission for New IRF QRP Quality
Measures Affecting the FY 2017
Adjustments to the IRF PPS Annual
Increase Factor
We propose the following data
submission timeline for the quality
measures that we have proposed for the
FY 2017 adjustments to the IRF PPS
annual increase factor. We propose that
IRFs would be required to submit data
on admissions and discharges occurring
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between January 1, 2015, and December
31, 2015 (CY 2015), for the FY 2017
adjustments to the IRF PPS annual
increase factor. We propose this
proposed time frame because we believe
this will provide sufficient time for IRFs
and CMS to put processes and
procedures in place to meet the
additional quality reporting
requirements. Given these measures are
collected through the CDC’s NHSN, and
IRFs are already familiar with the NHSN
reporting system, as they currently
report the CAUTI measure, we believe
this proposed timeframe will allow IRFs
ample opportunity to begin reporting
the newly proposed MRSA bacteremia
and CDI measures, should they be
finalized. We also propose that the
quarterly data submission deadlines for
the FY 2017 adjustments to the IRF PPS
annual increase factor occur
approximately 135 days after the end of
each quarter, as outlined in the Table
10. Each quarterly deadline would be
the date by which all data collected
during the preceding quarter would be
required to be submitted to us for
measures using the IRF–PAI and to the
CDC for measures using the NHSN. We
invite public comment on these
proposed timelines for data submission
for the proposed IRF QRP quality
measures for the FY 2017 adjustments to
the IRF PPS annual increase factor.
TABLE 10—PROPOSED TIMELINES FOR SUBMISSION OF IRF QRP QUALITY DATA USING CDC/NSHN FOR FY 2017 ADJUSTMENTS TO THE IRF PPS ANNUAL INCREASE FACTOR: NATIONAL HEALTH SAFETY NETWORK (NHSN) FACILITYWIDE INPATIENT HOSPITAL-ONSET METHICILLIN-RESISTANT Staphylococcus aureus (MRSA) BACTEREMIA OUTCOME
MEASURE (NQF #1716) AND NATIONAL HEALTHCARE SAFETY NETWORK (NHSN) FACILITY-WIDE INPATIENT HOSPITAL-ONSET Clostridium difficile INFECTION
[(CDI) Outcome Measure (NQF #1717)]
Quarter
CDC/NHSN
data submission
deadline
CDC/NHSN data collection period
FY 2017 Increase Factor
Quarter
Quarter
Quarter
Quarter
1
2
3
4
...................
...................
...................
...................
January 1, 2015—March 31, 2015 ..................................................................................................
April 1, 2015—June 30, 2015 .........................................................................................................
July 1, 2015—September 30, 2015 ................................................................................................
October 1, 2015—December 31, 2015 ...........................................................................................
August 15, 2015.
November 15, 2015.
February 15, 2016.
May 15, 2016.
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TABLE 11—SUMMARY OF IRF QRP MEASURES AFFECTING THE FY 2017 ADJUSTMENTS TO THE IRF PPS ANNUAL
INCREASE FACTOR AND SUBSEQUENT YEAR INCREASE FACTORS
Continued IRF QRP Measure Affecting the FY 2015 Adjustments to the IRF PPS Annual Increase Factor and Subsequent Year Increase Factors:
• NQF #0138: National Health Safety Network (NHSN) Catheter-Associated Urinary Tract Infection (CAUTI) Outcome Measure+
Continued IRF QRP Measure Affecting the FY 2016 Adjustments to the IRF PPS Annual Increase Factor and Subsequent Year Increase Factors:
• NQF #0431: Influenza Vaccination Coverage among Healthcare Personnel+
22 Reistetter TA, Karmarkar AM, Graham JE, et al.
Regional variation in stroke rehabilitation
outcomes. Arch Phys Med Rehabil.95(1):29–38, Jan.
2014.
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23 O’Brien SR, Xue Y, Ingersoll G, et al. Shorter
length of stay is associated with worse functional
outcomes for medicare beneficiaries with stroke.
Physical Therapy. 93(12):1592–1602, Dec. 2013.
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24 O’Brien SR, Xue Y, Ingersoll G, et al. Shorter
length of stay is associated with worse functional
outcomes for medicare beneficiaries with stroke.
Physical Therapy. 93(12):1592–1602, Dec. 2013.
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TABLE 11—SUMMARY OF IRF QRP MEASURES AFFECTING THE FY 2017 ADJUSTMENTS TO THE IRF PPS ANNUAL
INCREASE FACTOR AND SUBSEQUENT YEAR INCREASE FACTORS—Continued
Continued IRF QRP Measures Affecting the FY 2017 Adjustments to the IRF PPS Annual Increase Factor and Subsequent Year Increase Factors:
• NQF #2502: All-Cause Unplanned Readmission Measure for 30 Days Post-Discharge from Inpatient Rehabilitation Facilities¥ **
• NQF #0680: Percent of Residents or Patients Who Were Assessed and Appropriately Given the Seasonal Influenza Vaccine (ShortStay)*
• NQF #0678: Percent of Residents or Patients with Pressure Ulcers That Are New or Worsened (Short-Stay)*
New IRF QRP Measures Affecting the FY 2017 Adjustments to the IRF PPS Annual Increase Factor and Subsequent Year Increase Factors
• NQF #1716: National Healthcare Safety Network (NHSN) Facility-Wide Inpatient Hospital-Onset Methicillin-Resistant Staphylococcus
aureus (MRSA) Bacteremia Outcome Measure
• NQF #1717: National Healthcare Safety Network (NHSN) Facility-Wide Inpatient Hospital-Onset Clostridium difficile Infection (CDI) Outcome Measure
+ Using CDC/NHSN.
* Using the IRF–PAI released October 1, 2014.
¥ Medicare Fee-for-Service claims data.
** Not NQF-endorsed, CMS submitted the measure for NQF review on February 5, 2014.
F. Proposed Timing for New IRFs To
Begin Reporting Quality Data Under the
IRF QRP Affecting the FY 2017
Adjustments to the IRF PPS Annual
Increase Factor and Beyond
For the FY 2017 FY 2017 adjustments
to the IRF PPS annual increase factor
and subsequent year increase factors, we
propose that new IRFs be required to
begin reporting quality data under the
IRF QRP by no later than the first day
of the calendar quarter subsequent to
the quarter in which they have been
designated as operating in the CASPER
system. We invite public comment on
this proposed timing for new IRFs to
begin reporting quality data under the
IRF QRP.
G. Proposed IRF QRP Reconsideration
and Appeals Procedures for the FY 2016
Adjustments to the IRF PPS Annual
Increase Factor and Beyond
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1. IRF QRP Reconsideration and
Appeals for the FY 2014 and FY 2015
Adjustments to the IRF PPS Annual
Increase Factor
In the FY 2014 IRF PPS final rule (78
FR 47919), we finalized a voluntary
process that allowed IRF providers the
opportunity to seek reconsideration of
our initial noncompliance decision for
the FY 2014 and FY 2015 adjustments
to the IRF PPS annual increase factor.
We stated that we would notify IRFs
found to be noncompliant with the IRF
QRP reporting requirements that they
may be subject to the 2-percentage point
reduction to their IRF PPS annual
increase factor. The purpose of this
notification is to put the IRF on notice
of the following: (1) that the IRF has
been identified as being noncompliant
with the IRF QRP reporting
requirements for a given reporting
period; (2) that the IRF will be
scheduled to receive a 2-percentage
point reduction to its IRF PPS annual
increase factor for the applicable fiscal
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year; (3) that the IRF may file a request
for reconsideration if it believes that the
finding of noncompliance is erroneous,
or that if it was noncompliant, it had a
valid and justifiable excuse for this
noncompliance; and (4) that, to receive
reconsideration, the IRF must follow a
defined process on how to file a request
for reconsideration, which will be
described in the notification. This
defined process for filing a request for
reconsideration was described on the
CMS Web site at https://www.cms.gov/
Medicare/Quality-Initiatives-PatientAssessment-Instruments/IRF-QualityReporting/.
We further stated that upon the
conclusion of our review of each request
for reconsideration, we would render a
decision. We may reverse our initial
finding of noncompliance if: (1) The IRF
provides adequate proof of full
compliance with all IRF QRP reporting
requirements during the reporting
period; or (2) the IRF provides adequate
proof of a valid or justifiable excuse for
noncompliance if the IRF was not able
to comply with the requirements during
the reporting period. We will uphold
our initial finding of noncompliance if
the IRF cannot show any justification
for noncompliance.
If an IRF is dissatisfied with either our
initial finding of noncompliance or a
CMS decision rendered at the
reconsideration level, it can appeal the
decision with the Provider
Reimbursement Review Board (PRRB)
under 42 CFR part 405, subpart R. We
recommended, however, that IRF
providers submit requests for
reconsideration to us before submitting
appeals to the PRRB. We noted that this
order of appeals has had good success
under other established quality
reporting programs and, from an IRF
perspective, it allows for the
opportunity to resolve issues earlier in
the process, when we have dedicated
resources to consider all reconsideration
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requests before payment changes are
applied to the IRF’s annual payment.
2. IRF QRP Program Reconsideration
and Appeals Procedures for the FY 2016
Adjustments to the IRF PPS Annual
Increase Factor and Beyond
For the FY 2016 adjustments to the
IRF PPS annual increase factor and
subsequent year increase factors, we
propose to adopt an updated process, as
described below, that will enable an IRF
to request a reconsideration of our
initial noncompliance decision in the
event that an IRF believes that it was
incorrectly identified as being subject to
the 2-percentage point reduction to its
IRF PPS annual increase factor due to
noncompliance with the IRF QRP
reporting requirements for a given
reporting period.
For the FY 2016 adjustments to the
IRF PPS annual increase factor and
subsequent year increase factors, we
propose that an IRF would receive a
notification of noncompliance if we
determine that the IRF did not submit
data in accordance with section
1886(j)(7)(C) of the Act for the
applicable fiscal year, and therefore,
that the IRF is subject to a 2-percentage
point reduction in the applicable IRF
PPS annual increase factor as required
by section 1886(j)(7)(A)(i) of the Act. We
would only consider requests for
reconsideration once a provider has
been found to be noncompliant and not
before. IRFs would have 30 days from
the date of the initial notification of
noncompliance to review the CMS
determination and submit to us a
request for reconsideration. This
proposed time frame would allow us to
balance our desire to ensure that IRFs
have the opportunity to request
reconsideration with our need to
complete the reconsideration process
and provide IRFs with our decision in
a timely manner. Notifications of
noncompliance and any subsequent
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notifications from CMS would be sent
via a traceable delivery method such as
certified U.S. mail or registered U.S.
mail. We would not accept any requests
for reconsideration that are submitted
after the 30-day deadline.
We further propose that as part of the
IRF’s request for reconsideration, the
IRF would be required to submit all
supporting documentation and evidence
demonstrating (1) full compliance with
all IRF QRP reporting requirements
during the reporting period or (2) a valid
or justifiable excuse for noncompliance
if the IRF was not able to comply with
the requirements during the reporting
period. We would be unable to review
any reconsideration request that fails to
provide the necessary documentation
and evidence along with the request.
The documentation and evidence may
include copies of any communications
that demonstrate its compliance with all
IRF QRP reporting requirements, as well
as any other records that support the
IRF’s rationale for seeking
reconsideration. A sample list of the
proposed acceptable supporting
documentation and evidence, as well as
instructions for IRF providers to retrieve
copies of the data submitted to CMS for
the appropriate program year, can be
found on the CMS Web site at https://
www.cms.gov/Medicare/QualityInitiatives-Patient-AssessmentInstruments/IRF-Quality-Reporting/
Reconsideration-and-Disaster-WaiverRequests.html.
We propose that providers may
withdraw reconsideration requests at
any time and may file new requests
within the proposed 30-day deadline.
We also propose that, in very limited
circumstances, we may extend the
proposed deadline for submitting
reconsideration requests. It would be
the responsibility of a provider to
request an extension and demonstrate
that extenuating circumstances existed
that prevented the filing of the
reconsideration request by the proposed
deadline. We would not respond to any
other types of requests, such as requests
for administrative review of the
methodology and standards that
determine the quality reporting
requirements.
We propose that an IRF provider
wishing to request a reconsideration of
our initial noncompliance
determination would be required to do
so by submitting an email to the
following email address:
IRFQRPReconsiderations@cms.hhs.gov.
Any request for reconsideration
submitted to us by an IRF would be
required to follow the guidelines
outlined on the CMS Web site at
https://www.cms.gov/Medicare/Quality-
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Initiatives-Patient-AssessmentInstruments/IRF-Quality-Reporting/
Reconsideration-and-Disaster-WaiverRequests.html.
Following receipt of a request for
reconsideration, we will provide—
• An email acknowledgment, using
the contact information provided in the
reconsideration request, to the CEO or
CEO-designated representative that the
request has been received; and
• Once we have reached a decision
regarding the reconsideration request,
an email to the IRF CEO or CEOdesignated representative, using the
contact information provided in the
reconsideration request, regarding our
decision.
We propose to require any IRF that
believes it was incorrectly identified as
being subject to the 2-percentage point
reduction to its IRF PPS annual increase
factor to submit a request for
reconsideration and receive a decision
on that request before the IRF can file
an appeal with the PRRB, as authorized
by the Administrative Procedure Act. If
the IRF is dissatisfied with the decision
rendered at the reconsideration level,
the IRF could appeal the decision with
the PRRB under § 405.1835. We believe
this proposed process is more efficient
and less costly for us and for IRFs
because it decreases the number of
PRRB appeals by resolving issues earlier
in the process. Additional information
about the reconsideration process
including requirements for submitting
reconsideration request is posted on the
CMS Web site at https://www.cms.gov/
Medicare/Quality-Initiatives-PatientAssessment-Instruments/IRF-QualityReporting/Reconsideration-andDisaster-Waiver-Requests.html. We
invite public comment on the proposed
procedures for reconsideration and
appeals.
G. Proposed IRF QRP Data Submission
Exception or Extension Requirements
for the FY 2017 Adjustments to the IRF
PPS Annual Increase Factor and Beyond
For the IRF QRP’s data submission
exception or extension requirements for
the FY 2017 adjustments to the IRF PPS
annual increase factor and subsequent
year increase factors, we propose to
continue using the IRF QRP’s disaster
waiver requirements that were adopted
in the FY 2014 IRF PPS final rule (78
FR 47920) for the FY 2015 adjustments
to the IRF PPS annual increase factor
and subsequent year increase factors,
which are outlined below, with the
exception that the phrase ‘‘exception or
extension’’ will be substituted for the
word ‘‘waiver.’’ We also propose, for the
FY 2017 adjustments to the IRF PPS
annual increase factor and subsequent
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26341
year increase factors, that we may grant
an exception or extension to IRFs if we
determine that a systemic problem with
one of our data collection systems
directly affected the ability of the IRF to
submit data. Because we do not
anticipate that these types of systemic
errors will happen often, we do not
anticipate granting an exception or
extension on this proposed basis
frequently. We propose that if we make
the determination to grant an exception
or extension, we would communicate
this decision through routine
communication channels to IRFs and
vendors, including, but not limited to,
issuing memos, emails, and notices on
the CMS Web site at https://
www.cms.gov/Medicare/QualityInitiatives-Patient-AssessmentInstruments/IRF-Quality-Reporting/
index.html.
In the FY 2014 IRF PPS final rule (78
FR 47920), we finalized a process for
IRF providers to request and for us to
grant exceptions or extensions for the
quality data reporting requirements of
the IRF QRP for one or more quarters,
beginning with the FY 2015 adjustments
to the IRF PPS annual increase factor
and subsequent year increase factors,
when there are extraordinary
circumstances beyond the control of the
provider.
In the event that an IRF seeks to
request an exception or extension for
quality reporting purposes, the IRF must
request an exception or extension
within 30 days of the occurrence of an
extraordinary event by submitting a
written request to CMS via email to the
IRF QRP mailbox at
IRFQRPReconsiderations@cms.hhs.gov.
Exception or extension requests sent to
us through any other channel will not
be considered as a valid request for an
exception or extension from the IRF
QRP reporting requirements for any
adjustment to the IRF PPS annual
increase factor. The written request
must contain all of the finalized
requirements in the FY 2014 IRF PPS
final rule (78 FR 47920) and on the CMS
Web site at https://www.cms.gov/
Medicare/Quality-Initiatives-PatientAssessment-Instruments/IRF-QualityReporting/Reconsideration-andDisaster-Waiver-Requests.html. When
an exception or extension is granted, an
IRF will not incur payment reduction
penalties for failure to comply with the
requirements of the IRF QRP, for the
time frame specified by CMS. If an IRF
is granted an exception, we will not
require that the IRF submit any quality
data for a given period of time. If we
grant an extension to an IRF, the IRF
will still remain responsible for
submitting quality data collected during
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the time frame in question, although we
will specify a revised deadline by which
the IRF must submit this quality data.
It is important to note that requesting
an exception or extension from the
requirements of the IRF QRP is separate
and distinct from purpose and
requirements of § 412.614, which
outline the requirements to follow if an
IRF is requesting a waiver regarding
consequences of failure to submit
complete and timely IRF–PAI payment
data specified in that regulation. IRFs
that have filed and were granted an IRF–
PAI waiver in accordance with
§ 412.614 may so indicate when
requesting an exception or extension
from the IRF QRP requirements, but the
submission of an IRF–PAI waiver
request pursuant to § 412.614 will not
be considered a valid request for an
exception or extension from the IRF
QRP requirements. To request an
exception or extension from the IRF
QRP requirements, the previously
discussed process must be followed.
Additionally, in the FY 2014 IRF PPS
final rule (78 FR 47920), we finalized a
policy that allowed us to grant waivers
(which we are proposing to now call
exceptions or extensions) to IRFs that
have not requested them if we
determine that an extraordinary
circumstance, such as an act of nature,
affects an entire region or locale. We
stated that if this determination was
made, we would communicate this
decision through routine
communication channels to IRFs and
vendors, including, but not limited to,
issuing memos, emails, and notices on
the CMS Web site at https://
www.cms.gov/Medicare/QualityInitiatives-Patient-AssessmentInstruments/IRF-Quality-Reporting/
index.html.
We invite public comment on these
proposals regarding the IRF QRP’s data
submission exception or extension
requirements for the FY 2017
adjustments to the IRF PPS annual
increase factor and subsequent year
increase factors.
I. Public Display of Quality Measure
Data for the IRF QRP
Under section 1886(j)(7)(E) of the Act,
the Secretary is required to establish
procedures for making data submitted
under the IRF QRP available to the
public. Section 1886(j)(7)(E) of the Act
also requires these procedures to ensure
that each IRF provider has the
opportunity to review the data that is to
be made public for its facility, prior to
such data being made public. Section
1886(j)(7)(E) of the Act requires the
Secretary to report quality measures that
relate to services furnished in IRFs on
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the CMS Web site at https://
www.cms.hhs.gov/Medicare/MedicareFee-for-Service-Payment/
InpatientRehabFacPPS/.
Currently, the Agency is developing
plans regarding the implementation of
these provisions. We appreciate the
need for transparency into the processes
and procedures that will be
implemented to allow for the public
reporting of the IRF QRP data and to
afford providers the opportunity to
preview that data before it is made
public. At this time, we have not
established procedures or timelines for
public reporting of data, but we intend
to make the public aware of our strategy
in the future. We welcome public
comments on what we should consider
when developing future proposals
related to public reporting.
J. Proposed IRF QRP Data Completion
Thresholds for the FY 2016 Adjustments
to the IRF PPS Annual Increase Factor
and Beyond
Beginning in FY 2014, section
1886(j)(7)(A)(i) of the Act requires the
reduction of the applicable IRF PPS
annual increase factor, as previously
modified under section 1886(j)(3)(D) of
the Act, by 2 percentage points for any
IRF that fails to submit data on quality
measures specified by the Secretary in
accordance with the form and manner
specified by the Secretary for that fiscal
year. To date, we have not established
a standard for compliance other than
that IRF providers submit all applicable
required data for all finalized IRF QRP
quality measures, by the previously
finalized quarterly deadlines. We have
also specifically required monthly
submission of such quality data for the
healthcare-associated infection or
vaccination data, which is reported to
the CDC. In reaction to the input
received from our stakeholders seeking
additional specificity related to required
IRF QRP compliance affecting FY
annual increase factor determinations
and, due to the importance of ensuring
the integrity of quality data submitted to
CMS, we are proposing to set specific
IRF QRP thresholds for completeness of
provider quality data beginning with
data affecting the FY 2016 annual
increase factor determination and
beyond.
1. The CMS IRF QRP, through the FY
2012 IRF PPS final rule, CY 2013 OPPS/
ASC final rule, and FY 2014 IRF PPS
final rule, requires providers to submit
quality data using 2 separate data
collection/submission mechanisms;
measures collected using the quality
indicator section of the IRF–PAI are
submitted through the CMS Quality
Improvement Evaluation System (QIES);
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and measures stewarded by the Centers
for Disease Control and Prevention
(CDC) (Healthcare Acquired Infection
(HAI) measures and vaccination
measures) are submitted using the
CDC’s National Healthcare Safety
Network (NHSN). While CMS has also
previously finalized a claims-based
measure (All-Cause Unplanned
Readmission Measure for 30 Days Post
Discharge from Inpatient Rehabilitation
Facilities), such measures do not require
IRFs to actually submit quality data to
CMS, as they are calculated using
claims data submitted to CMS for
payment purposes. Thus, with claimsbased measures, there is no quality data
to which we could apply the proposed
data completion thresholds. To ensure
that IRF providers are meeting an
acceptable standard for completeness of
submitted data, we are proposing that
for the FY 2016 annual increase factor
and beyond, IRF providers meet or
exceed two separate program
thresholds: one threshold for quality
measures data collected using the
quality indicator section of the IRF–PAI
and submitted through QIES; and a
second threshold for quality measures
data collected and submitted using the
CDC’s NHSN. We are proposing that
IRFs must meet or exceed both
thresholds discussed below to avoid
receiving a 2 percentage point reduction
to their IRF PPS annual increase factor
for a given FY beginning with FY 2016.
We are proposing to hold IRF providers
accountable for two different data
completion thresholds for each of the
two data submission mechanisms: a 95
percent data completion threshold for
data collected using the quality
indicator items on the IRF–PAI and
submitted through QIES; and a 100
percent threshold for data collected and
submitted through the CDC’s NHSN. We
have chosen to hold providers to the
lower threshold of 95 percent for the
quality indicator items on the IRF–PAI,
as there has to be some margin for error
related to IRF patients that have been
discharged emergently or against
medical advice, as these situations make
it more difficult to collect and submit
the mandatory IRF–PAI quality
indicator items at discharge. We do not
believe the same impediments exist for
the infection, vaccination or other
quality measures data that IRFs submit
to the CDC’s NHSN. Proposed IRF QRP
Completion Threshold for the Required
Quality Indicator Data Items on the IRF–
PAI
The quality indicator section of the
IRF–PAI is composed of data collection
items designed to inform quality
measure calculations, including risk-
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adjustment calculations as well as
internal consistency checks for logical
inaccuracies. We propose that beginning
with quality data affecting the FY 2016
IRF PPS annual increase factor and
beyond, IRF providers must meet or
exceed a proposed IRF–PAI quality
indicator data completion threshold of
95 percent. We propose to assess the
completeness of submitted data by
verifying that, for all IRF–PAI
Assessments submitted by any given
IRF, at least 95 percent of those IRF–PAI
Assessments must have 100 percent of
the mandatory quality indicator data
items completed where, for the
purposes of this proposed rule,
‘‘completed’’ is defined as having
provided actual patient data as opposed
to a non-informative response, such as
a dash (-), that indicates the IRF was
unable to provide patient data. The
proposed threshold of 95 percent is
based on the need for complete records,
which allows appropriate analysis of
quality measure data for the purposes of
updating quality measure specifications
as they undergo yearly and triennial
measure maintenance reviews with the
NQF. Additionally, complete data is
needed to understand the validity and
reliability of quality data items,
including risk-adjustment models.
Finally we want to ensure complete
quality data from IRF providers, which
will ultimately be reported to the
public, allowing our beneficiaries to
gain an understanding of provider
performance related to these quality
metrics, and helping them to make
informed health care choices. Our data
suggests that the majority of current IRF
providers are in compliance with, or
exceeding this proposed threshold
already. However, we take comment on
circumstances that might prevent IRFs
from meeting this level of compliance.
All items that we propose to require
under the IRF QRP are identified in
Chapter 4 of the IRF PAI Training
Manual, which is available for
download on the CMS Web site at
https://www.cms.gov/Medicare/QualityInitiatives-Patient-AssessmentInstruments/IRF-Quality-Reporting/
index.html?redirect=/IRF-QualityReporting/. We additionally propose
that any IRF that does not meet the
proposed requirement that 95 percent of
all IRF–PAI assessments submitted
contain 100 percent of all required
quality indicator data items, will be
subject to a reduction of 2 percentage
points to the applicable FY IRF PPS
annual increase factor beginning with
FY 2016. To establish this program
threshold, we analyzed IRF–PAI quality
indicator data item submissions from
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January 2013 through September 2013,
and we believe that the majority of IRF
providers will be able to meet the
proposed 95 percent data completion
threshold. It is our intent to raise this
threshold over the next 2 years, through
the rulemaking process. We are
proposing that this threshold will have
to be met by IRFs, in addition to the
CDC NHSN threshold discussed below,
to avoid receiving a 2 percentage point
reduction to the applicable FY IRF PPS
annual increase factor.
2. IRF QRP Data Completion Threshold
for Measures Submitted Using the
Centers for Disease Control and
Prevention (CDC) National Healthcare
Safety Network (NHSN)
The CMS IRF QRP, through the FY
2012 IRF PPS final rule, CY 2013 OPPS/
ASC final rule, and FY 2014 IRF PPS
final rule, requires that IRFs submit
CDC-stewarded quality measure data
using the CDC’s NHSH, including data
for the previously finalized CAUTI and
Influenza Vaccination Coverage Among
Healthcare Personnel (HCP) quality
measures. More specifically, we require
that IRFs follow CDC quality measure
protocols, which require them to
complete all data fields required for
both numerator and denominator data
within NHSN, including the ‘‘no
events’’ field for any month during
which no infection events were
identified. IRFs are required to submit
this data on a monthly basis (except for
the HCP measure, which is only
required to be reported once per year).
However, IRFs have until the associated
quarterly deadline (135 calendar days
beyond the end of each CY quarter) by
which to report infection data to the
CDC for each of the 3 months within
any give quarter. For more information
on the IRF QRP quarterly deadlines, we
refer you to Table 10 in section XI.E of
this proposed rule. We are proposing
that, beginning with FY 2016 IRF PPS
annual increase factor and beyond, this
previously finalized requirement for
monthly reporting must be met, in
addition to the proposed IRF–PAI
quality indicator data item completion
threshold discussed above, to avoid a 2
percentage point reduction to the
applicable FY IRF PPS annual increase
factor. That is, we propose that IRFs
must meet a threshold of 100 percent for
measures submitted via the NHSN,
achieved by submitting relevant
infection or vaccination data for each
month of any given CY, in addition to
meeting the above proposed data item
completion threshold for required
quality indicator items on the IRF–PAI.
As the IRF QRP expands and IRFs begin
reporting measures that were previously
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26343
finalized, but not yet implemented, or
newly proposed and finalized measures,
we propose to apply this same
threshold.
a. Application of the 2 Percentage Point
Reduction for IRF Provider That Fail To
Meet the Above Proposed Data
Completion Thresholds
Above we have proposed that IRFs
must meet two separate data completion
thresholds to avoid a 2 percentage point
reduction to their applicable FY annual
increase factor; a data completion
threshold of 95 percent for those
mandatory data elements collected
using the quality indicator items on the
IRF–PAI and submitted through QIES;
and a second data completion threshold
of 100 percent for quality measure data
submitted through the CDC’s NHSN. We
are proposing that these data
completion thresholds must be met in
addition to the below proposed data
accuracy validation threshold of 75
percent, to avoid a 2 percentage point
reduction to their applicable FY annual
increase factor. While we propose that
IRFs must meet both the proposed data
completion and data accuracy
thresholds, IRFs cannot have their
applicable annual increase factor
reduced twice. That is, should an IRF
provider fail to meet either one or both
of the proposed thresholds, they will
only receive one reduction of 2
percentage points to their applicable FY
annual increase factor.
We invite comment on this proposal.
K. Proposed Data Validation Process for
the FY 2017 Adjustments to the IRF PPS
Annual Increase Factor and Beyond
Historically, we have built
consistency and internal validation
checks into our data submission
specifications to ensure that the basic
elements of the IRF–PAI assessment
conform to requirements such as proper
format and facility information. These
internal validation checks are
automated and occur during the
provider submission process, and help
ensure the integrity of the data
submitted by providers by rejecting
submissions or issuing warnings when
provider data contain logical
inconsistencies. These edit checks are
further outlined in the Inpatient
Rehabilitation Facility-Patient
Assessment Instrument Data
Submission Specifications, which are
available for download at https://
www.cms.gov/Medicare/Medicare-Feefor-Service-Payment/
InpatientRehabFacPPS/Software.html.
Validation is intended to provide
added assurance of the accuracy of the
data that will be reported to the public
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as required by section 1886(j)(7)(E) of
the Act. We propose, for the FY 2016
adjustments to the IRF PPS annual
increase factor and subsequent years, to
validate the data submitted for quality
purposes. Initially, for FY 2016 this data
accuracy validation will apply only to
the quality indicator items on the IRF–
PAI that inform the measure Percent of
Patients or Residents with Pressure
Ulcers that are New or Worsened (NQF
#0678), including those mandatory data
elements that inform the measure
calculation, as well as those that inform
internal consistency checks for logical
inaccuracies. As the IRF QRP expands,
and as IRFs begin to submit additional
data using the quality indicator section
of the IRF–PAI, we propose to include
those additional data elements in this
validation process. We will inform any
such expansion of this validation
process prior to its occurrence through
our routine channels of communication
including, but not limited to the IRF
QRP Web site, CMS open door forums,
national IRF provider trainings, and the
Medicare Learning Network Newsletter.
We propose to validate the data
elements submitted to CMS for Percent
of Residents or Patients with Pressure
Ulcers that are New or Have Worsened
(Short-Stay) (NQF #0678) under the IRF
QRP by requesting the minimum chart
data necessary to confirm a statistically
valid random sample of 260 providers.
From those 260 providers, 5 IRF–PAI
assessments submitted through National
Assessment Collection Database will be
randomly selected. In accordance with
§ 164.512 (d)(1)(iii) of the HIPAA
Privacy Rule, we will request from these
providers the specified portions of the 5
Medicare patient charts that correspond
to the randomly selected assessments,
which will need to be copied and
submitted via traceable mail to a CMS
contractor for validation. We propose
that the specific portions of the 5
beneficiary charts will be identified in
the written request, but may include:
admission and discharge assessments,
relevant nursing notes following the
admission, relevant nursing notes
preceding the discharge, physician
admission summary and discharge
summary, and any Assessment of
Pressure Ulcer Form the facility may
utilize. We propose that the CMS
contractor will utilize the portions of
the patient charts to compare that
information with the quality data
submitted to CMS. Differences that
would affect measure outcomes or
measure rates would be identified and
reported to CMS. These differences
could include but are not limited to
unreported worsened pressure ulcers.
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We propose that all data that has been
submitted to the National Assessment
Collection Database under the IRF QRP
would be subject to the data validation
process. Specifically, we propose that
the contractor will request copies of the
randomly selected medical charts from
each facility via certified mail (or other
traceable methods that require a facility
representative to sign for CMS
correspondence), and the facility will
have 45 days from the date of the
request (as documented on the request
letter) to submit the requested records to
the contractor. If the facility does not
comply within 30 days, the contractor
will send a second certified letter to the
facility, reminding the facility that it
must return copies of the requested
medical records within 45 calendar days
following the date of the initial
contractor medical record request. If the
facility still does not comply, then the
contractor will assign a ‘‘zero’’ score to
each measure in each missing record. If,
however, the facility does comply, the
contractor will review the data
submitted by the facility using the IRF–
PAI for the mandatory data elements
associated with the Pressure Ulcer
measure, until such time that IRFs begin
to submit additional quality measures
that are collected using the quality
indicator section of the IRF–PAI.
Initially, this review will consist solely
of those mandatory data elements that
inform the pressure ulcer measure
calculations, as well as those that
inform checks for logical
inconsistencies. As IRFs begin to report
additional finalized measures, CMS
intends to propose expanding this
validation process to other such
measures at that time. The contractor
will then calculate the percentage of
matching data elements which will
constitute a validation score. Because
we would not be validating all records,
we would need to calculate a
confidence interval that incorporates a
potential sampling error.
To receive the full FY 2016 IRF
annual increase factor, we are proposing
that IRFs in the random sample must
attain at least a 75 percent validation
score, based upon our validation
process, which will use charts requested
from patient assessments submitted for
FY 2014. We will calculate a 95 percent
confidence interval associated with the
observed validation score. If the upper
bound of this confidence interval is
below the 75 percent cutoff point, we
will not consider a hospital’s data to be
‘‘validated’’ for payment purposes. For
example, for a provider who submits all
5 of their charts, each with 9 elements,
the provider’s score will be based on 45
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possible opportunities to report
correctly or incorrectly. If the provider
correctly scored on 40 of the 45
elements, then their reliability would be
89 percent (40/45). The upper bound of
the confidence interval takes into
account sampling error and would be
higher than this estimated reliability, in
this case 96 percent. This number is
greater than or equal to 75 percent.
Therefore the provider passes
validation. We propose that providers
failing the validation requirements
would be subject to a 2 percentage point
reduction to their applicable annual
increase factor. In addition, all
providers validated would receive
educational feedback, including specific
case details.
L. Application of the 2 Percentage Point
Reduction for IRF Providers That Fail
To Meet the Above Proposed Data
Accuracy Threshold
Above we have proposed that IRFs
must meet a data accuracy threshold of
75 percent to avoid receiving a 2
percentage point reduction to their
applicable FY annual increase factor.
We are proposing that this proposed
data accuracy threshold of 75 percent
must be met in addition to the above
proposed data completion thresholds
(95 percent for data collected using the
quality indicator items on the IRF–PAI
and submitted using QIES, and 100
percent for data submitted using the
CDC’s NHSN), to avoid receiving a 2
percentage point reduction to their
applicable FY annual increase factor.
While we propose that IRFs must meet
both the proposed data accuracy and
data completion thresholds, IRFs cannot
have their applicable annual payment
update reduced twice. That is, should
an IRF provider fail to meet either one
or both of the proposed thresholds (data
completion and/or data accuracy), they
will only receive one reduction of 2
percentage points to their applicable FY
annual increase factor.
We invite public comment on this
proposal and suggestions to improve the
utility of the approach and/or reduce
the burden on facilities.
M. Electronic Health Record and Health
Information Exchange
We believe that all patients, their
families, and their healthcare providers
should have consistent and timely
access to their health information in a
standardized format that can be securely
exchanged between the patient,
providers, and others involved in the
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patient’s care.25 We are committed to
accelerating health information
exchange (HIE) through the use of
electronic health records (EHRs) and
other types of health information
technology (HIT) across the broader care
continuum through a number of
initiatives including: (1) Alignment of
incentives and payment adjustments to
encourage provider adoption and
optimization of HIT and HIE services
through Medicare and Medicaid
payment policies; (2) adoption of
common standards and certification
requirements for interoperable HIT; (3)
support for privacy and security of
patient information across all HIEfocused initiatives; and (4) governance
of health information networks. These
initiatives are designed to improve care
delivery and coordination across the
entire care continuum and encourage
HIE among all health care providers,
including professionals and hospitals
eligible for the Medicare and Medicaid
EHR Incentive Programs and those who
are not eligible for the EHR Incentive
programs. To increase flexibility in the
regulations for certification and expand
HIT certification, the Office of the
National Coordinator for Health
Information Technology (ONC) has
issued a proposed rule concerning a
voluntary 2015 Edition of EHR
certification criteria that would more
easily accommodate HIT certification
for technology used in other types of
health care settings where individual or
institutional health care providers are
not typically eligible for incentive
payments under the EHR Incentive
Programs, such as long-term and postacute care and behavioral health
settings.
We believe that HIE and the use of
certified EHRs by IRFs (and other
providers ineligible for the Medicare
and Medicaid EHR Incentive programs)
can effectively and efficiently help
providers improve internal care delivery
practices, support management of
patient care across the continuum, and
enable the reporting of electronically
specified clinical quality measures
(eCQMs). More information on the
identification of EHR certification
criteria and development of standards
applicable to IRFs can be found at:
• https://healthit.gov/policyresearchers-implementers/standardsand-certification-regulations
• https://www.healthit.gov/facas/
FACAS/health-it-policy-committee/
hitpc-workgroups/certificationadoption
25 The Department of Health & Human Services
August 2013 Statement, ‘‘Principles and Strategies
for Accelerating Health Information Exchange.
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• https://wiki.siframework.org/LCC
+LTPAC+Care+Transition+SWG
• https://wiki.siframework.org/
Longitudinal+Coordination+of+Care
We are soliciting feedback during
public comment to this FY 2015 IRF
PPS proposed rule on the feasibility and
desirability of electronic health record
adoption and use of HIE in IRFs. We are
also interested in public comment on
the need to develop electronic clinical
quality measures, and the benefits and
limitations of implementing these
measures for IRF providers.
N. Proposed Method for Applying the
Reduction to the FY 2015 IRF Increase
Factor for IRFs That Fail To Meet the
Quality Reporting Requirements
As previously noted, section
1886(j)(7)(A)(i) of the Act requires the
application of a 2-percentage point
reduction of the applicable market
basket increase factor for IRFs that fail
to comply with the quality data
submission requirements. In compliance
with 1886(j)(7)(A)(i) of the Act, we will
apply a 2-percentage point reduction to
the applicable FY 2015 market basket
increase factor (2.1 percent) in
calculating an adjusted FY 2015
standard payment conversion factor to
apply to payments for only those IRFs
that failed to comply with the data
submission requirements. As previously
noted, application of the 2-percentage
point reduction may result in an update
that is less than 0.0 for a fiscal year and
in payment rates for a fiscal year being
less than such payment rates for the
preceding fiscal year. Also, reportingbased reductions to the market basket
increase factor will not be cumulative;
they will only apply for the FY
involved. Table 12 shows the
calculation of the adjusted FY 2015
standard payment conversion factor that
will be used to compute IRF PPS
payment rates for any IRF that failed to
meet the quality reporting requirements
for the period from January 1, 2013,
through December 31, 2013.
TABLE 12—CALCULATIONS TO DETERMINE THE ADJUSTED FY 2015
STANDARD PAYMENT CONVERSION
FACTOR FOR IRFS THAT FAILED TO
MEET THE QUALITY REPORTING REQUIREMENT—Continued
Explanation for
adjustment
Calculations
Market Basket Increase
Factor for FY 2015
(2.7 percent), reduced
by 0.4 percentage
point reduction for the
productivity adjustment
as required by section
1886(j)(3)(C)(ii)(I) of
the Act, reduced by 0.2
percentage point in accordance with sections
1886(j)(3)(C) and (D)
of the Act and further
reduced by 2 percentage points for IRFs
that failed to meet the
quality reporting requirement ....................
Budget Neutrality Factor
for the Wage Index
and Labor-Related
Share ...........................
Budget Neutrality Factor
for the Revisions to the
CMG Relative Weights
Proposed Adjusted FY
2015 Standard Payment Conversion Factor ................................
X
1.0010
X
1.0018
X
1.0000
=
$14,888
We invite public comment on the
proposed method for applying the
reduction to the FY 2015 IRF increase
factor for IRFs that fail to meet the
quality reporting requirements.
XII. Collection of Information
Requirements
Under the Paperwork Reduction Act
of 1995, we are required to provide 60
days’ notice in the Federal Register and
solicit public comment before a
collection of information requirement is
submitted to the Office of Management
and Budget (OMB) for review and
approval. To fairly evaluate whether an
information collection should be
approved by OMB, section 3506(c)(2)(A)
TABLE 12—CALCULATIONS TO DETER- of the Paperwork Reduction Act of 1995
MINE THE ADJUSTED FY 2015 requires that we solicit comment on the
STANDARD PAYMENT CONVERSION following issues:
FACTOR FOR IRFS THAT FAILED TO
• The need for the information
MEET THE QUALITY REPORTING RE- collection and its usefulness in carrying
out the proper functions of our agency.
QUIREMENT
• The accuracy of our estimate of the
Explanation for
information collection burden.
Calculations
adjustment
• The quality, utility, and clarity of
the information to be collected.
Standard Payment Con• Recommendations to minimize the
version Factor for FY
2014 ............................
$14,846 information collection burden on the
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affected public, including automated
collection techniques.
This proposed rule does not impose
any new information collection
requirements as outlined in the
regulation text. However, this proposed
rule does [propose changes to]
associated information collections that
are not discussed in the regulation text
contained in this document. The
following is a discussion of these
information collections, some of which
have already received OMB approval.
We are soliciting public comments on
each of these issues for the following
sections of this document that contain
information collection requirements
(ICRs).
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A. ICRs Regarding the IRF QRP
1. Updates to IRF QRP
We propose 2 new measures for use
in the IRF QRP that will affect the
increase factor for FY 2017. These
quality measures are: National
Healthcare Safety Network (NHSN)
Facility-Wide Inpatient Hospital-Onset
Methicillin-Resistant Staphylococcus
aureus (MRSA) Bacteremia Outcome
Measure (NQF #1716) and National
Healthcare Safety Network (NHSN)
Facility-Wide Inpatient Hospital-Onset
Clostridium difficile Infection (CDI)
Outcome Measure (NQF #1717). We
propose that these measures would be
collected via the CDC’s NHSN data
submission system (https://www.cdc.gov/
nhsn/). The NHSN is a secure, Internetbased healthcare-associated infection
tracking system that is maintained and
managed by the CDC.
There are currently approximately
1,140 IRFs in the United States paid
under the IRF PPS that are already
required to submit CAUTI data to the
CDC’s NHSN. We believe that any
burden increase related to complying
with the IRF QRP requirements for
submission of the MRSA bacteremia and
CDI measures will be minimal for those
IRFs that are already familiar with the
NHSN submission process, for several
reasons. First, these IRFs have already
completed the initial setup and have
become familiar with reporting data in
the NHSN system due to the
requirement to report the CAUTI
measure. Second, due to their
participation in a wide range of
mandatory reporting and quality
improvement programs, there are 15
states with mandate for IRFs to report
MRSA bacteremia data and CDI data
into the NHSN. The most significant
burden associated with these quality
measures is the time and effort
associated with collecting and
submitting the data on the MRSA and
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CDI measures for IRFs that are not
currently reporting any measures data
into the CDC’s NHSN system.
Based on submissions to the NHSN,
we now estimate that each IRF will
execute approximately 5 NHSN
submissions per month: 1 MRSA
bacteremia event, 1 C. difficile event
and 3 CAUTI events (60 events per IRF
annually). This equates to a total of
approximately 68,400 submissions of
events to the NHSN from all IRFs per
year. The CDC estimated the public
reporting burden of the collection of
information for each measure to include
the time for reviewing instructions,
searching existing data sources,
gathering and maintaining the data
needed, and completing and reviewing
the collection of information. MRSA
and C. difficile are estimated to be an
average of 15 minutes per response (10
minutes of clinical (registered nurse)
time, and 5 minutes of clerical (Medical
Records or Health Information
Technician); CAUTI is estimated to be
an average of 29 minutes per response.
Each IRF must also complete a Patient
Safety Monthly Reporting Plan
estimated at 35 minutes and a
Denominator for Specialty Care Area,
which is estimated at 5 hours per
month. Based on this estimate, we
expect each IRF would expend 7.53
hours per month reporting to the NHSN.
Additionally, each IRF must submit the
Healthcare Worker Vaccination
measure, which the CDC estimates will
take 10 minutes of clerical time. Based
on this estimate, we expect each IRF
would expend 78.97 clinical hours per
year reporting to the NHSN, or 90,026
hours for all IRFs. According to the US
Bureau of Labor and Statistics, the mean
hourly wage for a registered nurse (RN)
is $33.13; the mean hourly wage for a
medical records and health information
technician is $16.81. However, to
account for overhead and fringe
benefits, we have double the mean
hourly wage, making it $66.26 for an RN
and $33.62 for a Medical Record or
Health Information Technician. We
estimate that the annual cost per each
IRF would be $5,162.09 and that the
total yearly cost to all IRFs for the
submission of data to NHSN would be
$5,882,782.60. While the quality
measures previously discussed are
subject to the PRA, we believe that the
associated burden is approved under
OMB control number 0920–0666, with
an expiration date of November, 31,
2016.
In the FY 2014 IRF PPS rule (78 FR
47923 through 47925), we provided
burden estimates for measures adopted
in that rule. Updated Collection of
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Information Requirements for each of
those measures is described below:
a. All-Cause Unplanned Readmission
Measure for 30 Days Post Discharge
From Inpatient Rehabilitation Facilities
As stated in the FY 2014 IRF PPS rule
(78 FR 47923 through 47925), data for
this measure will be derived from
Medicare claims, and therefore, will not
add any additional reporting burden for
IRFs.
b. Percent of Residents or Patients With
Pressure Ulcers That Are New or Have
Worsened (Short-Stay) (NQF #0678)
We expect that the admission and
discharge pressure ulcer data will be
collected by a clinician such as an RN
because the assessment and staging of
pressure ulcers requires a high degree of
clinical judgment and experience. We
estimate that it will take approximately
10 minutes of time by the RN to perform
the admission pressure ulcer
assessment. We further estimate that it
will take an additional 15 minutes of
time to complete the discharge pressure
ulcer assessment.
We estimate that there are 359,000
IRF–PAI submissions per year3 and that
there are 1,140 IRFs in the U.S.
reporting quality data to CMS. Based on
these figures, we estimate that each IRF
will submit approximately 315 IRF–
PAIs per year. Assuming that each IRF–
PAI submission requires 25 minutes of
time by an RN at an average hourly
wage of $66.26 (including fringe
benefits and overhead), to complete the
‘‘Quality Indicator’’ section, the yearly
cost to each IRF would be $8,696.63 and
the annualized cost across all IRFs
would be $9,914,158.20.
We also expect that most IRFs will
use administrative personnel, such as a
medical secretary or medical data entry
clerk, to perform the task of entering the
IRF–PAI pressure ulcer Assessment
data. We estimate that this data entry
task will take no more than 3 minutes
for the ‘‘Quality Indicator’’ section of
each IRF–PAI record or 15.75 hours for
each IRF annually. The average hourly
wage for a Medical Records & Health
Information Technician is $33.62
(including fringe benefits and
overhead). Again, as we noted above,
there are approximately 359,000 IRF–
PAI submissions per year and 1,140
IRFs reporting quality data to CMS.
Given this wage information, the
estimated total annual cost across all
reporting IRFs for the time required for
entry of pressure ulcer data into the
IRF–PAI by a medical record or health
information technician (including fringe
benefits and overhead) is $603,652.80.
We further estimate the average yearly
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cost to each individual IRF to be
$529.52.
We estimate that the combined
annualized time burden related to the
pressure ulcer data item set for work
performed, by the both clinical and
administrative staff, will be 147 hours
for each individual IRF and 167,580
hours across all IRFs. The total
estimated annualized cost for collection
and submission of pressure ulcer data is
$9,226.15 for each IRF and $10,517,811
across all IRFs. We estimate the cost for
each pressure ulcer submission to be
$29.29.
c. Percent of Residents or Patients Who
Were Assessed and Appropriately Given
the Seasonal Influenza Vaccine (ShortStay) (NQF #0680)
IRFs are already required to complete
and transmit certain IRF–PAI data on all
Medicare Part A Fee-for-Service and
Medicare Part C (Medicare Advantage)
patients to receive payment from
Medicare. We estimate that completion
of the Patient Influenza measure data
items will take approximately 5 minutes
to complete. The Patient Influenza item
set consists of three data items (for
example, questions). Each item is
straightforward and does not require
physical assessment of the patient for
completion. We estimate that it will take
approximately 0.7 minutes to complete
each item, or 2.1 minutes to complete
all items related to the Patient Influenza
measure. However, in some cases, the
person completing this item set may
need to consult the patient’s medical
record to obtain data about the patient’s
influenza vaccination. Therefore, we
have allotted an additional 1.66 minutes
per item, for a total of 7.1 minutes to
complete the Patient Influenza measure
data items.
We have noted above that there are
approximately 359,000 IRF–PAIs
completed annually across all 1,140
IRFs that report IRF quality data to
CMS. This breaks down to
approximately 315 IRF–PAIs completed
by each IRF yearly. We estimate that the
annual time burden for reporting the
Patient Influenza measure data is 42,481
hours across all IRFs in the U.S. and
37.26 hours for each individual IRF.
Again, we have estimated the mean
hourly wage for an RN (including fringe
benefits and overhead) to be $66.26.
Taking all of the above information into
consideration, we estimate the annual
cost across all IRFs for the submission
of the Patient Influenza measure data to
be $2,814,791.06. We further estimate
the cost for each individual IRF to be
$2,469.11.
Lastly, we propose to validate data
submitted to CMS by requesting
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portions of patient’s charts be copied
and mailed to a CMS validation
contractor. We estimate the size of each
section we propose to request as
follows: We anticipate that the first 3
days of nurses notes will be
approximately 15 pages; the last 3 days
of nurses notes will be approximately 10
pages; the physician or physician’s
assistant’s admission history and
physical will be approximately 30
pages; the physician or physician’s
assistant’s discharge summary will be
approximately 15 pages; nurses
admission database is approximately 40
pages; pressure ulcer assessment
assessments will be approximately 30
pages; physicians progress notes will be
approximately 30 pages; physicians
orders will be approximately 30 pages
and lab reports to be approximately 70
pages. We estimate the total submission
to be approximately 270 pages in length.
The FY 2013 IPPS/LTCH PPS final rule
(77 FR 53745) estimates the appropriate
cost for chart submission to be 12 cents
per page and $4.00 shipping. Two
hundred seventy pages at a rate of $0.12
per page with a $4.00 shipping cost
would be $36.40 per chart. We propose
that 260 providers will be randomly
selected for validation, and we propose
to request 5 charts from each selected
provider for a total cost of $47,320 for
all IRF providers, or $182.00 for any
randomly selected IRF provider.
2. Effects of Updates to the IRF QRP
In section XI of this proposed rule, we
propose to add 2 new quality measures
to the IRF QRP. These measures
include: National Healthcare Safety
Network (NHSN) Facility-Wide
Inpatient Hospital-Onset MethicillinResistant Staphylococcus aureus
(MRSA) Bacteremia Outcome Measure
(NQF #1716) and National Healthcare
Safety Network (NHSN) Facility-Wide
Inpatient Hospital-Onset Clostridium
difficile Infection (CDI) Outcome
Measure (NQF #1717). As previously
noted, we estimate that each IRF will
execute approximately 2 NHSN
submissions (1 MRSA bacteremia event
and 1 C. difficile event) per month (24
events per IRF annually). This equates
to a total of approximately 27,360
submissions of HAI data to NHSN from
all IRFs per year. We estimate that each
NHSN modules for the MRSA and C.
difficile measures will take
approximately 15 minutes to complete.
This time estimate consists of 10
minutes of clinical time needed to
collect the clinical data and 5 minutes
of clerical time necessary to enter the
data into the NHSN. Based on this
estimate, we expect each IRF will
expend 8 clinical hours and 4 clerical
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hours for a total of 12 hours per year
reporting to NHSN for MRSA
bacteremia and CDI. The total estimated
annual hourly burden on all IRFs in the
United States for reporting MRSA
bacteremia and CDI data to NHSN is
13,680 hours. The average hourly wage
for Medical Records or Health
Information Technicians is $33.62
(including fringe benefits and overhead)
and $66.26 (including fringe benefits
and overhead) for a Registered Nurse.
We estimate that the annual cost per
each IRF will be $664.56 and the total
yearly cost to all IRFs for the submission
of MRSA bacteremia and CDI data to
NHSN will be $757,598.40.
B. ICRs Regarding Individual, Group,
and Co-Treatment Therapy Data on the
IRF–PAI
As stated in section VIII of this
proposed rule, we are proposing a new
Therapy Information Section for the
IRF–PAI that will require IRF providers
to submit data regarding the amount and
mode (that is, Individual, Group, and
Co-Treatment) of therapy that patients
are receiving and in which therapy
discipline (PT, OT, speech/language)
beginning on October 1, 2015.
Under Medicare’s conditions of
participation for hospitals that provide
rehabilitation, physical therapy,
occupational therapy, audiology, or
speech pathology services at § 482.56,
the provision of care and the personnel
qualifications must be in accordance
with national acceptable standards of
practice and must also meet the
requirements at § 409.17, according to
which IRFs are required to furnish
physical therapy, occupational therapy
or speech-language pathology services
under a plan that, among other things,
‘‘[p]rescribes the type, amount,
frequency, and duration of the physical
therapy, occupational therapy, or
speech-language pathology services to
be furnished to the individual.’’ (Such
services may also be furnished under
plan requirements specific to the
payment policy under which the
services are rendered, if applicable.) In
addition, the IRF coverage requirements
at § 412.622(a)(3)(ii), (4), require the IRF
to document that the patient
‘‘[g]enerally requires and can reasonably
be expected to actively participate in,
and benefit from, an intensive
rehabilitation therapy program.’’ As
Medicare already requires extensive
documentation of the type, amount,
frequency and duration of physical
therapy, occupational therapy, or
speech-language pathology services
furnished to individuals in the IRF
setting, we do not believe that IRFs will
incur any additional burden related to
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the collection of the data for the
proposed new Therapy Information
Section. In accordance with 5 CFR
1320.3(b)(2), we believe the burden
associated with this requirement is
exempt from the PRA as it is a usual and
customary business practice. The time,
effort, and financial resources necessary
to comply with this requirement would
be incurred in the course of each IRF
conducting its normal business
activities.
We anticipate that it will take
approximately 4 minutes to retrieve the
therapy data from the patient’s medical
record and transfer the required data to
the IRF–PAI for submission. We believe
this task can be completed by any
clinician in the IRF. To calculate the
burden, we obtained hourly wage rates
for social worker assistants, licensed
practical nurses (LPN), recreational
therapists, social workers, dietitians and
nutritionists, RN, speech language
pathologists, audiologists, occupational
therapists, and physical therapists, all of
whom may complete the IRF–PAI, from
the Bureau of Labor Statistics (https://
www.bls.gov/ooh/healthcare/
home.htm). The $26.52 rate is a blend
of all of these categories, and reflects the
fact that IRF providers have historically
used all of these clinicians for
preparation and coding of the IRF–PAI.
However, to account for overhead and
fringe benefits, we double the average
rate, making it $53.04. On average, an
IRF submits roughly 300 IRF–PAIs
annually and when multiplied by 4
minutes to complete the proposed new
Therapy Information Section, the total
estimated annual hour burden per each
IRF is 20 hours. We estimate the total
cost burden to each IRF for reporting the
proposed therapy data will be $1,060
annually. Since there are a total of 1,140
IRFs, we estimate the total burden cost
across all IRFs for submitting therapy
data is $1.2 million.
We will be submitting a revision of
the IRF–PAI information collection
request currently approved under OMB
control number 0938–0842.
If you comment on these information
collection and recordkeeping
requirements, please submit your
comments electronically as specified in
the ADDRESSES section of this
proposed rule.
with a subsequent document, we will
respond to the comments in the
preamble to that document.
XIII. Response to Public Comments
Because of the large number of public
comments we normally receive on
Federal Register documents, we are not
able to acknowledge or respond to them
individually. We will consider all
comments we receive by the date and
time specified in the DATES section of
this preamble, and, when we proceed
We have examined the impacts of this
proposed rule as required by Executive
Order 12866 (September 30, 1993,
Regulatory Planning and Review),
Executive Order 13563 on Improving
Regulation and Regulatory Review
(January 18, 2011), the Regulatory
Flexibility Act (September 19, 1980,
Pub. L. 96–354) (RFA), section 1102(b)
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XIV. Regulatory Impact Analysis
A. Statement of Need
This proposed rule updates the IRF
prospective payment rates for FY 2015
as required under section 1886(j)(3)(C)
of the Act. It responds to section
1886(j)(5) of the Act, which requires the
Secretary to publish in the Federal
Register on or before the August 1 that
precedes the start of each fiscal year, the
classification and weighting factors for
the IRF PPS’s case-mix groups and a
description of the methodology and data
used in computing the prospective
payment rates for that fiscal year.
This proposed rule implements
sections 1886(j)(3)(C) and (D) of the Act.
Section 1886(j)(3)(C)(ii)(I) of the Act
requires the Secretary to apply a multifactor productivity adjustment to the
market basket increase factor, and to
apply other adjustments as defined by
the Act. The productivity adjustment
applies to FYs from 2012 forward. The
other adjustments apply to FYs 2010
through 2019.
This proposed rule also adopts some
policy changes within the statutory
discretion afforded to the Secretary
under section 1886(j) of the Act. We
propose to collect data on the amount
and mode (that is, Individual, Group,
and Co-Treatment) of therapy provided
in the IRF setting according to therapy
discipline, revise the list of impairment
group codes that presumptively meet
the 60 percent rule compliance criteria,
provide for a new item on the IRF–PAI
form to indicate whether the prior
treatment and severity requirements
have been met for arthritis cases, and
revise and update quality measures and
reporting requirements under the IRF
quality reporting program. In this
proposed rule, we also address the
implementation of the International
Classification of Diseases, 10th
Revision, Clinical Modification (ICD–
10–CM) for the IRF prospective payment
system (PPS), effective when ICD–10–
CM becomes the required medical data
code set for use on Medicare claims and
IRF–PAI submissions.
B. Overall Impacts
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of the Act, section 202 of the Unfunded
Mandates Reform Act of 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). Executive Order 13563
emphasizes the importance of
quantifying both costs and benefits, of
reducing costs, of harmonizing rules,
and of promoting flexibility. A
regulatory impact analysis (RIA) must
be prepared for a major proposed rule
with economically significant effects
($100 million or more in any 1 year). We
estimate the total impact of the
proposed policy updates described in
this proposed rule by comparing the
estimated payments in FY 2015 with
those in FY 2014. This analysis results
in an estimated $160 million increase
for FY 2015 IRF PPS payments. As a
result, this proposed rule is designated
as economically ‘‘significant’’ under
section 3(f)(1) of Executive Order 12866,
and hence a major rule under the
Congressional Review Act. Also, the
rule has been reviewed by OMB.
The Regulatory Flexibility Act (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. Most IRFs and most other
providers and suppliers are small
entities, either by having revenues of $7
million to $35.5 million or less in any
1 year depending on industry
classification, or by being nonprofit
organizations that are not dominant in
their markets. (For details, see the Small
Business Administration’s final rule that
set forth size standards for health care
industries, at 65 FR 69432 at https://
www.sba.gov/sites/default/files/files/
Size_Standards_Table.pdf, effective
March 26, 2012.) Because we lack data
on individual hospital receipts, we
cannot determine the number of small
proprietary IRFs or the proportion of
IRFs’ revenue that is derived from
Medicare payments. Therefore, we
assume that all IRFs (an approximate
total of 1,100 IRFs, of which
approximately 60 percent are nonprofit
facilities) are considered small entities
and that Medicare payment constitutes
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the majority of their revenues. The
Department of Health and Human
Services generally uses a revenue
impact of 3 to 5 percent as a significance
threshold under the RFA. As shown in
Table 13, we estimate that the net
revenue impact of this proposed rule on
all IRFs is to increase estimated
payments by approximately 2.2 percent.
However, we find that certain categories
of IRF providers would be expected to
experience revenue impacts in the 3
percent range. We estimate a 3.8 percent
overall impact for four rural IRFs in the
Pacific region, and a 3 percent increase
for 141 urban IRFs in the Middle
Atlantic region and 27 rural IRFs in the
West North Central region. As a result,
we anticipate this proposed rule adopts
a net positive impact on a substantial
number of small entities. Medicare
Administrative Contractors are not
considered to be small entities.
Individuals and States are not included
in the definition of a small entity.
In addition, section 1102(b) of the Act
requires us to prepare a regulatory
impact analysis if a 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, we define a small rural hospital
as a hospital that is located outside of
a Metropolitan Statistical Area and has
fewer than 100 beds. As discussed in
detail below, the rates and policies set
forth in this proposed rule will not have
a significant impact (not greater than 3
percent) on rural hospitals based on the
data of the 165 rural units and 17 rural
hospitals in our database of 1,140 IRFs
for which data were available.
Section 202 of the Unfunded
Mandates Reform Act of 1995 (Pub. L.
104–04, enacted on March 22, 1995)
also requires that agencies assess
anticipated costs and benefits before
issuing any rule whose mandates
require spending in any 1 year of $100
million in 1995 dollars, updated
annually for inflation. In 2014, that
threshold level is approximately $141
million. This proposed rule will not
impose spending costs on state, local, or
tribal governments, in the aggregate, or
by the private sector, of greater than
$141 million.
Executive Order 13132 establishes
certain requirements that an agency
must meet when it promulgates a final
rule that imposes substantial direct
requirement costs on state and local
governments, preempts state law, or
otherwise has federalism implications.
As stated above, this proposed rule will
not have a substantial effect on state and
local governments, preempt state law, or
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otherwise have a federalism
implication.
C. Detailed Economic Analysis
1. Basis and Methodology of Estimates
This proposed rule sets forth
proposed policy changes and updates to
the IRF PPS rates contained in the FY
2014 IRF PPS final rule (78 FR 47860).
Specifically, this proposed rule updates
the CMG relative weights and average
length of stay values, the wage index,
and the outlier threshold for high-cost
cases. This proposed rule also applies a
MFP adjustment to the FY 2015 RPL
market basket increase factor in
accordance with section
1886(j)(3)(C)(ii)(I) of the Act, and a 0.2
percentage point reduction to the FY
2015 RPL market basket increase factor
in accordance with sections
1886(j)(3)(C)(ii)(II) and (D)(iv) of the Act.
Further, this proposed rule proposes
additional changes to the presumptive
methodology and additional therapy
and quality data collection that are
expected to result in some additional
financial effects on IRFs. In addition,
section XI of this rule discusses the
implementation of the required 2
percentage point reduction of the
market basket increase factor for any IRF
that fails to meet the IRF quality
reporting requirements, in accordance
with section 1886(j)(7) of the Act.
We estimate that the impact of the
proposed changes and updates
described in this proposed rule will be
a net estimated increase of $160 million
in payments to IRF providers. This
estimate does not include the estimated
impacts of the additional proposed
changes to the presumptive compliance
method and the additional therapy and
quality data collection, as discussed in
section 8 of this Economic Analysis. In
addition, it does not include the
implementation of the required 2
percentage point reduction of the
market basket increase factor for any IRF
that fails to meet the IRF quality
reporting requirements (as discussed in
section 9 of this Economic Analysis).
The impact analysis in Table 13 of this
proposed rule represents the projected
effects of the updates to IRF PPS
payments for FY 2015 compared with
the estimated IRF PPS payments in FY
2014. We determine the effects by
estimating payments while holding all
other payment variables constant. We
use the best data available, but we do
not attempt to predict behavioral
responses to these changes, and we do
not make adjustments for future changes
in such variables as number of
discharges or case-mix.
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We note that certain events may
combine to limit the scope or accuracy
of our impact analysis, because such an
analysis is future-oriented and, thus,
susceptible to forecasting errors because
of other changes in the forecasted
impact time period. Some examples
could be legislative changes made by
the Congress to the Medicare program
that would impact program funding, or
changes specifically related to IRFs.
Although some of these changes may
not necessarily be specific to the IRF
PPS, the nature of the Medicare program
is such that the changes may interact,
and the complexity of the interaction of
these changes could make it difficult to
predict accurately the full scope of the
impact upon IRFs.
In updating the rates for FY 2015, we
are proposing standard annual revisions
described in this proposed rule (for
example, the update to the wage and
market basket indexes used to adjust the
federal rates). We are also implementing
a productivity adjustment to the FY
2015 RPL market basket increase factor
in accordance with section
1886(j)(3)(C)(ii)(I) of the Act, and a 0.2
percentage point reduction to the FY
2015 RPL market basket increase factor
in accordance with sections
1886(j)(3)(C)(ii)(II) and (D)(iv) of the Act.
We estimate the total increase in
payments to IRFs in FY 2015, relative to
FY 2014, will be approximately $160
million.
This estimate is derived from the
application of the FY 2015 RPL market
basket increase factor, as reduced by a
productivity adjustment in accordance
with section 1886(j)(3)(C)(ii)(I) of the
Act, and a 0.2 percentage point
reduction in accordance with sections
1886(j)(3)(C)(ii)(II) and (D)(iv) of the Act,
which yields an estimated increase in
aggregate payments to IRFs of $155
million. Furthermore, there is an
additional estimated $5 million increase
in aggregate payments to IRFs due to the
proposed update to the outlier threshold
amount. Outlier payments are estimated
to increase under this proposal from
approximately 2.9 percent in FY 2014 to
3.0 percent in FY 2015. Therefore,
summed together, we estimate that these
updates will result in a net increase in
estimated payments of $160 million
from FY 2014 to FY 2015.
The effects of the proposed updates
that impact IRF PPS payment rates are
shown in Table 13. The following
proposed updates that affect the IRF
PPS payment rates are discussed
separately below:
• The effects of the proposed update
to the outlier threshold amount, from
approximately 2.9 percent to 3.0 percent
of total estimated payments for FY 2015,
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consistent with section 1886(j)(4) of the
Act.
• The effects of the proposed annual
market basket update (using the RPL
market basket) to IRF PPS payment
rates, as required by section
1886(j)(3)(A)(i) and sections
1886(j)(3)(C) and (D) of the Act,
including a productivity adjustment in
accordance with section
1886(j)(3)(C)(i)(I) of the Act, and a 0.2
percentage point reduction in
accordance with sections 1886(j)(3)(C)
and (D) of the Act.
• The effects of applying the
proposed budget-neutral labor-related
share and wage index adjustment, as
required under section 1886(j)(6) of the
Act.
• The effects of the proposed budgetneutral changes to the CMG relative
weights and average length of stay
values, under the authority of section
1886(j)(2)(C)(i) of the Act.
• The total change in estimated
payments based on the proposed FY
2015 payment changes relative to the
estimated FY 2014 payments.
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2. Description of Table 13
Table 13 categorizes IRFs by
geographic location, including urban or
rural location, and location for CMS’s 9
census divisions (as defined on the cost
report) of the country. In addition, the
table divides IRFs into those that are
separate rehabilitation hospitals
(otherwise called freestanding hospitals
in this section), those that are
rehabilitation units of a hospital
(otherwise called hospital units in this
section), rural or urban facilities,
ownership (otherwise called for-profit,
non-profit, and government), by
teaching status, and by disproportionate
share patient percentage (DSH PP). The
top row of Table 13 shows the overall
impact on the 1,140 IRFs included in
the analysis.
The next 12 rows of Table 13 contain
IRFs categorized according to their
geographic location, designation as
either a freestanding hospital or a unit
of a hospital, and by type of ownership;
all urban, which is further divided into
urban units of a hospital, urban
freestanding hospitals, and by type of
ownership; and all rural, which is
further divided into rural units of a
hospital, rural freestanding hospitals,
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and by type of ownership. There are 958
IRFs located in urban areas included in
our analysis. Among these, there are 731
IRF units of hospitals located in urban
areas and 227 freestanding IRF hospitals
located in urban areas. There are 182
IRFs located in rural areas included in
our analysis. Among these, there are 165
IRF units of hospitals located in rural
areas and 17 freestanding IRF hospitals
located in rural areas. There are 401 forprofit IRFs. Among these, there are 337
IRFs in urban areas and 64 IRFs in rural
areas. There are 670 non-profit IRFs.
Among these, there are 564 urban IRFs
and 106 rural IRFs. There are 69
government-owned IRFs. Among these,
there are 57 urban IRFs and 12 rural
IRFs.
The remaining four parts of Table 13
show IRFs grouped by their geographic
location within a region, by teaching
status, and by DSH PP. First, IRFs
located in urban areas are categorized
for their location within a particular one
of the nine Census geographic regions.
Second, IRFs located in rural areas are
categorized for their location within a
particular one of the nine Census
geographic regions. In some cases,
especially for rural IRFs located in the
New England, Mountain, and Pacific
regions, the number of IRFs represented
is small. IRFs are then grouped by
teaching status, including non-teaching
IRFs, IRFs with an intern and resident
to average daily census (ADC) ratio less
than 10 percent, IRFs with an intern and
resident to ADC ratio greater than or
equal to 10 percent and less than or
equal to 19 percent, and IRFs with an
intern and resident to ADC ratio greater
than 19 percent. Finally, IRFs are
grouped by DSH PP, including IRFs
with zero DSH PP, IRFs with a DSH PP
less than 5 percent, IRFs with a DSH PP
between 5 and less than 10 percent,
IRFs with a DSH PP between 10 and 20
percent, and IRFs with a DSH PP greater
than 20 percent.
The estimated impacts of each policy
described in this proposed rule to the
facility categories listed above are
shown in the columns of Table 13. The
description of each column is as
follows:
• Column (1) shows the facility
classification categories described
above.
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• Column (2) shows the number of
IRFs in each category in our FY 2013
analysis file.
• Column (3) shows the number of
cases in each category in our FY 2013
analysis file.
• Column (4) shows the estimated
effect of the proposed adjustment to the
outlier threshold amount.
• Column (5) shows the estimated
effect of the proposed update to the IRF
PPS payment rates, which includes a
productivity adjustment in accordance
with section 1886(j)(3)(C)(ii)(I) of the
Act, and a 0.2 percentage point
reduction in accordance with sections
1886(j)(3)(C)(ii)(II) and (D)(iv) of the Act.
• Column (6) shows the estimated
effect of the proposed update to the IRF
labor-related share and wage index, in a
budget-neutral manner.
• Column (7) shows the estimated
effect of the proposed update to the
CMG relative weights and average
length of stay values, in a budget-neutral
manner.
• Column (8) compares our estimates
of the payments per discharge,
incorporating all of the proposed
policies reflected in this proposed rule
for FY 2015 to our estimates of
payments per discharge in FY 2014.
The average estimated increase for all
IRFs is approximately 2.2 percent. This
estimated net increase includes the
effects of the proposed RPL market
basket increase factor for FY 2015 of 2.7
percent, reduced by a productivity
adjustment of 0.4 percentage point in
accordance with section
1886(j)(3)(C)(ii)(I) of the Act, and further
reduced by 0.2 percentage point in
accordance with sections
1886(j)(3)(C)(ii)(II) and (D)(iv) of the Act.
It also includes the approximate 0.1
percent overall estimated increase in
estimated IRF outlier payments from the
proposed update to the outlier threshold
amount. Since we are making the
proposed updates to the IRF wage index
and the CMG relative weights in a
budget-neutral manner, they will not be
expected to affect total estimated IRF
payments in the aggregate. However, as
described in more detail in each section,
they will be expected to affect the
estimated distribution of payments
among providers.
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TABLE 13—IRF IMPACT TABLE FOR FY 2015 (COLUMNS 4–9 IN %)
Facility classification
Number of
IRFs
Number of
cases
(1)
(2)
(3)
Total .........................................................
Urban unit ................................................
Rural unit ..................................................
Urban hospital ..........................................
Rural hospital ...........................................
Urban For-Profit .......................................
Rural For-Profit ........................................
Urban Non-Profit ......................................
Rural Non-Profit .......................................
Urban Government ..................................
Rural Government ....................................
Urban .......................................................
Rural .........................................................
Urban by region:
Urban New England .........................
Urban Middle Atlantic .......................
Urban South Atlantic .........................
Urban East North Central .................
Urban East South Central ................
Urban West North Central ................
Urban West South Central ...............
Urban Mountain ................................
Urban Pacific ....................................
Rural by region:
Rural New England ...........................
Rural Middle Atlantic .........................
Rural South Atlantic ..........................
Rural East North Central ..................
Rural East South Central ..................
Rural West North Central .................
Rural West South Central .................
Rural Mountain .................................
Rural Pacific ......................................
Teaching Status:
Non-teaching .....................................
Resident to ADC less than 10% .......
Resident to ADC 10%-19% ..............
Resident to ADC greater than 19% ..
Disproportionate Share Patient Percentage (DSH PP):
DSH PP = 0% ...................................
DSH PP less than 5% ......................
DSH PP 5%–10% .............................
DSH PP 10%–20% ...........................
DSH PP greater than 20% ...............
Outlier
Adjusted
market basket increase
factor for FY
2015 1
FY 2015
CBSA wage
index
and laborshare
CMG
Total
percent
change
(4)
(5)
(6)
(7)
(9)
1,140
731
165
227
17
337
64
564
106
57
12
958
182
387,651
178,428
26,350
177,235
5,638
165,022
12,457
175,036
17,626
15,605
1,905
355,663
31,988
0.1
0.2
0.2
0.0
0.0
0.1
0.1
0.1
0.2
0.1
0.2
0.1
0.1
2.1
2.1
2.1
2.1
2.1
2.1
2.1
2.1
2.1
2.1
2.1
2.1
2.1
0.0
0.1
¥0.1
0.0
¥0.2
¥0.2
¥0.2
0.2
0.0
¥0.1
¥0.6
0.0
¥0.1
0.0
0.0
0.1
0.0
0.0
0.0
0.1
0.0
0.1
0.0
0.1
0.0
0.1
2.2
2.3
2.3
2.0
2.0
2.0
2.1
2.4
2.4
2.2
1.9
2.2
2.3
30
141
138
180
50
73
173
72
101
16,895
58,236
64,527
53,150
24,427
18,609
70,843
23,013
25,963
0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.2
2.1
2.1
2.1
2.1
2.1
2.1
2.1
2.1
2.1
0.4
0.8
¥0.1
¥0.2
¥0.5
¥0.4
¥0.3
¥0.7
0.6
¥0.1
0.0
¥0.1
0.0
¥0.1
0.0
0.1
0.0
0.0
2.5
3.0
2.0
2.0
1.6
1.8
2.0
1.5
2.9
5
15
24
31
21
27
48
7
4
1,263
2,550
6,009
5,224
3,493
3,451
8,949
667
382
0.1
0.1
0.1
0.1
0.1
0.2
0.1
0.3
0.4
2.1
2.1
2.1
2.1
2.1
2.1
2.1
2.1
2.1
0.0
0.5
¥0.1
¥0.2
¥0.2
0.5
¥0.4
¥0.1
1.2
¥0.1
0.2
0.1
0.1
0.1
0.1
0.2
0.0
0.0
2.1
2.9
2.2
2.1
2.2
3.0
1.9
2.4
3.8
1,030
58
40
12
341,633
30,509
14,166
1,343
0.1
0.1
0.2
0.1
2.1
2.1
2.1
2.1
0.0
0.3
¥0.1
0.1
0.0
¥0.1
¥0.1
0.0
2.2
2.4
2.1
2.2
42
178
337
359
224
7,793
61,772
134,924
123,942
59,220
0.2
0.1
0.1
0.1
0.1
2.1
2.1
2.1
2.1
2.1
0.1
0.1
¥0.2
0.1
¥0.1
0.1
0.1
0.0
0.0
¥0.1
2.5
2.4
2.1
2.3
2.1
1 This column reflects the impact of the RPL market basket increase factor for FY 2015 (2.7 percent), reduced by a 0.4 percentage point reduction for the productivity adjustment as required by section 1886(j)(3)(C)(ii)(I) of the Act, and reduced by 0.2 percentage points in accordance
with paragraphs 1886(j)(3)(C) and (D) of the Act.
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3. Impact of the Proposed Update to the
Outlier Threshold Amount
The estimated effects of the proposed
update to the outlier threshold
adjustment are presented in column 4 of
Table 13. In the FY 2014 IRF PPS final
rule (78 FR 47860), we used FY 2012
IRF claims data (the best, most complete
data available at that time) to set the
outlier threshold amount for FY 2014 so
that estimated outlier payments would
equal 3 percent of total estimated
payments for FY 2014.
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For this proposed rule, we are
updating our analysis using FY 2013
IRF claims data and, based on this
updated analysis, we estimate that IRF
outlier payments as a percentage of total
estimated IRF payments are 2.9 percent
in FY 2014. Thus, we propose to adjust
the outlier threshold amount in this
proposed rule to set total estimated
outlier payments equal to 3 percent of
total estimated payments in FY 2015.
The estimated change in total IRF
payments for FY 2015, therefore,
includes an approximate 0.1 percent
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increase in payments because the
estimated outlier portion of total
payments is estimated to increase from
approximately 2.9 percent to 3 percent.
The impact of this proposed outlier
adjustment update (as shown in column
4 of Table 13) is to increase estimated
overall payments to IRFs by about 0.1
percent. We estimate the largest increase
in payments from the update to the
outlier threshold amount to be 0.4
percent for rural IRFs in the Pacific
region. We do not estimate that any
group of IRFs would experience a
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decrease in payments from this
proposed update.
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4. Impact of the Proposed Market Basket
Update to the IRF PPS Payment Rates
The estimated effects of the proposed
market basket update to the IRF PPS
payment rates are presented in column
5 of Table 13. In the aggregate the
proposed update would result in a net
2.1 percent increase in overall estimated
payments to IRFs. This net increase
reflects the estimated RPL market basket
increase factor for FY 2014 of 2.7
percent, reduced by the 0.2 percentage
point in accordance with sections
1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(iv)
of the Act, and further reduced by a 0.4
percentage point productivity
adjustment as required by section
1886(j)(3)(C)(ii)(I) of the Act.
5. Impact of the Proposed CBSA Wage
Index and Labor-Related Share
In column 6 of Table 13, we present
the effects of the proposed budgetneutral update of the wage index and
labor-related share. The proposed
changes to the wage index and the
labor-related share are discussed
together because the wage index is
applied to the labor-related share
portion of payments, so the proposed
changes in the two have a combined
effect on payments to providers. As
discussed in section V.D. of this
proposed rule, we propose to increase
the labor-related share from 69.494
percent in FY 2014 to 69.538 percent in
FY 2015.
In the aggregate, since these proposed
updates to the wage index and the laborrelated share are applied in a budgetneutral manner as required under
section 1886(j)(6) of the Act, we do not
estimate that these proposed updates
would affect overall estimated payments
to IRFs. However, we estimate that these
proposed updates would have small
distributional effects. For example, we
estimate the largest increase in
payments from the proposed update to
the CBSA wage index and labor-related
share of 1.2 percent for rural IRFs in the
Pacific region. We estimate the largest
decrease in payments from the update to
the CBSA wage index and labor-related
share to be a 0.7 percent decrease for
urban IRFs in the Moumethodntain
region.
6. Impact of the Proposed Update to the
CMG Relative Weights and Average
Length of Stay Values.
In column 7 of Table 13, we present
the effects of the proposed budgetneutral update of the CMG relative
weights and average length of stay
values. In the aggregate, we do not
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estimate that these updates will affect
overall estimated payments of IRFs.
However, we do expect these updates to
have small distributional effects. The
largest estimated increase in payments
is a 0.2 percent increase in rural Middle
Atlantic and rural West South Central
IRFs. Urban areas in New England,
South Atlantic, and East South Central
and rural New England are estimated to
experiences a 0.1 percent decrease in
payments due to the CMG relative
weights change.
7. Effects of the Proposed Changes to the
Presumptive Compliance Method for
Compliance Review Periods Beginning
on or After October 1, 2014
As discussed in section VII. of this
proposed rule, we are proposing some
additional changes to the presumptive
compliance method for compliance
review periods beginning on or after
October 1, 2014. We do not estimate that
the proposed removal of the
‘‘amputation status’’ codes will have
any significant financial effects on IRFs,
as our data analysis indicates that IRFs
are almost never using these codes.
Similarly, we do not estimate that the
proposed exclusion of the non-specific
Etiologic Diagnosis codes from the IGCs
will have any significant financial
effects on IRFs, as we estimate that IRFs
will be able to switch to using the more
specific codes that are available for the
Etiologic Diagnoses instead.
We do, however, believe that there
could be a financial effect on IRFs from
the proposed removal of the Unilateral
Upper Extremity Amputations and
Arthritis IGCs from the presumptive
compliance method, as the removal of
these IGCs from presumptively counting
toward meeting the 60 percent rule
compliance threshold could result in
more IRFs failing to meet the
requirements solely on the basis of the
presumptive compliance method and
being required to be evaluated using the
medical review method. We estimate
that these effects would be concentrated
in approximately 10 percent of IRFs that
admit a high number of patients with
Unilateral Upper Extremity Amputation
and Arthritis conditions, and that the
effects would vary substantially among
IRFs. As discussed in section IX. of this
proposed rule, we are proposing an
additional IRF–PAI item for arthritis
cases, the purpose of which is to
mitigate some of the financial effects for
these IRFs while still allowing Medicare
to ensure that the regulatory
requirements are being met.
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8. Effects of New Proposed Therapy
Information Section
Because the type, amount, frequency,
and duration of therapy provided in
IRFs is documented in detail in the IRF
medical records as part of the
requirements for meeting Medicare’s
conditions of participation and IRF
coverage requirements, we estimate that
the additional costs incurred by IRFs for
FY 2016 for the new proposed Therapy
Information Section of the IRF–PAI
would be based on the 4 additional
minutes per IRF–PAI form to transfer
the information from the IRF medical
record to the IRF–PAI form. We estimate
that this would result in an additional
cost of $1.2 million to all IRFs for FY
2016.
9. Effects of Updates to the IRF QRP
As discussed in section XI.A. of this
proposed rule and in accordance with
section 1886(j)(7) of the Act, we will
implement a 2 percentage point
reduction in the FY 2015 increase factor
for IRFs that have failed to report the
required quality reporting data to us
during the most recent IRF quality
reporting period. In section XI.A of this
proposed rule, we discuss how the 2
percentage point reduction will be
applied. Only a few IRFs received the 2
percentage point reduction in the FY
2014 increase factor for failure to report
the required quality reporting data last
year, and we would anticipate that even
fewer IRFs will receive the reduction for
FY 2015 as they are now more familiar
with the IRF QRP reporting
requirements.
In sections XI.K and XI.L of this
proposed rule, we discuss our proposal
to adopt a new data completion
threshold as well as a new data accuracy
validation policy. While we cannot
estimate the increase in the number of
IRFs that will not meet our proposed
requirements at this time, we believe
that these proposal, if finalized, may
increase the number of IRFs that receive
a 2 percent point reduction to their FY
annual increase factor for FY 2016 and
beyond. Thus, we estimate that this
policy will increase impact on overall
IRF payments, by increasing the rate of
non-compliance by an estimated 5
percent, for FY 2016 and beyond,
decreasing the number of IRF providers
that will receive their full annual
increase factor for FY 2016 and beyond.
In this FY 2015 IRF PPS rule, we
proposed to adopt two new quality
measures (MRSA and CDI), as well as a
new data accuracy validation policy.
Together, we estimate that these
proposals will increase the cost to all
IRF providers by $852,238 annually for
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the cost to each IRF provider by $747.57
annually. This is average increase of
approximately 4.43 percent to all IRF
providers over the FY 2014 burden.
While we also propose to adopt a data
completion threshold policy, this
policy, if finalized, will have no
associated cost burden beyond that
discussed in the first paragraph of this
section (XIV.C.9).
We intend to closely monitor the
effects of this new quality reporting
program on IRF providers and help
perpetuate successful reporting
outcomes through ongoing stakeholder
education, national trainings, CMS
Open Door Forums, and general and
technical help desks.
D. Alternatives Considered
As stated in section XIV.B. of this
proposed rule, we estimate that the
proposed changes discussed in the rule
would result in a significant economic
impact on IRFs. The overall impact on
all IRFs is an estimated increase in FY
2015 payments of $160 million (2.2
percent), relative to FY 2014. The
following is a discussion of the
alternatives considered for the IRF PPS
updates contained in this proposed rule.
Section 1886(j)(3)(C) of the Act
requires the Secretary to update the IRF
PPS payment rates by an increase factor
that reflects changes over time in the
prices of an appropriate mix of goods
and services included in the covered
IRF services. Thus, we did not consider
alternatives to updating payments using
the estimated RPL market basket
increase factor for FY 2015. However, as
noted previously in this proposed rule,
section 1886(j)(3)(C)(ii)(I) of the Act
requires the Secretary to apply a
productivity adjustment to the market
basket increase factor for FY 2015, and
sections 1886(j)(3)(C)(ii)(II) and
1886(j)(3)(D)(iv) of the Act require the
Secretary to apply a 0.2 percentage
point reduction to the market basket
increase factor for FY 2015. Thus, in
accordance with section 1886(j)(3)(C) of
the Act, we proposed to update IRF
federal prospective payments in this
proposed rule by 2.1 percent (which
equals the 2.7 percent estimated RPL
market basket increase factor for FY
2015 reduced by 0.2 percentage points,
and further reduced by a 0.4 percentage
point productivity adjustment as
required by section 1886(j)(3)(C)(ii)(I) of
the Act).
We considered maintaining the
existing CMG relative weights and
average length of stay values for FY
2015. However, in light of recently
available data and our desire to ensure
that the CMG relative weights and
average length of stay values are as
reflective as possible of recent changes
in IRF utilization and case mix, we
believe that it is appropriate to propose
to update the CMG relative weights and
average length of stay values at this time
to ensure that IRF PPS payments
continue to reflect as accurately as
possible the current costs of care in
IRFs.
We considered updating facility-level
adjustment factors for FY 2015.
However, as discussed in more detail in
section IV.B. of this proposed rule, we
believe that freezing the facility-level
adjustments at FY 2014 levels for FY
2015 and all subsequent years (unless
and until the data indicate that they
need to be further updated) will allow
us an opportunity to monitor the effects
of the substantial changes to the
adjustment factors for FY 2014, and will
allow IRFs time to adjust to last year’s
changes.
We considered maintaining the
existing outlier threshold amount for FY
2015. However, analysis of updated FY
2013 data indicates that estimated
outlier payments would be lower than 3
percent of total estimated payments for
FY 2015, by approximately 0.1 percent,
unless we updated the outlier threshold
amount. Consequently, we propose
adjusting the outlier threshold amount
in this proposed rule to reflect a 0.1
percent increase thereby setting the total
outlier payments equal to 3 percent,
instead of 2.9 percent, of aggregate
estimated payments in FY 2015.
We considered not proposing further
changes to the presumptive compliance
method in this proposed rule. However,
to be consistent with the changes to the
presumptive compliance method that
we implemented in the FY 2014 IRF
PPS final rule, and to correct some
inadvertent omissions in last year’s final
rule, we believe it is important to
propose further changes in this
proposed rule.
We considered not proposing the new
Therapy Information Section on the
IRF–PAI. However, we believe that it is
vitally important for Medicare to better
understand the ways in which therapy
services are currently being provided in
IRFs and, most importantly, what we are
paying for with the Medicare spending
on IRF services. We encourage
comments on this proposed approach.
E. Accounting Statement
As required by OMB Circular A–4
(available at https://
www.whitehouse.gov/sites/default/files/
omb/assets/omb/circulars/a004/a4.pdf), in Table 14, we have prepared an
accounting statement showing the
classification of the expenditures
associated with the provisions of this
proposed rule. Table 14 provides our
best estimate of the increase in Medicare
payments under the IRF PPS as a result
of the proposed updates presented in
this proposed rule based on the data for
1,140 IRFs in our database. In addition,
Table 14 presents the costs associated
with the proposed new IRF quality
reporting program and therapy reporting
requirements for FY 2015.
TABLE 14—ACCOUNTING STATEMENT: CLASSIFICATION OF ESTIMATED EXPENDITURES
Change in Estimated Transfers from FY 2014 IRF PPS to FY 2015 IRF PPS
Category
Transfers
Annualized Monetized Transfers ..............................................................
From Whom to Whom? ............................................................................
$160 million.
Federal Government to IRF Medicare Providers.
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FY 2015 Cost to Updating the Quality Reporting Program:
Category
Costs
Cost for IRFs to Submit Data for the Quality Reporting Program ...........
$852,238.
FY 2016 Cost for Therapy Data Collection
Category
Costs
Cost for IRFs to Submit Therapy Data
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$1.2 million.
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F. Conclusion
Overall, the estimated payments per
discharge for IRFs in FY 2015 are
projected to increase by 2.2 percent,
compared with the estimated payments
in FY 2014, as reflected in column 9 of
Table 13. IRF payments per discharge
are estimated to increase by 2.2 percent
in urban areas and by 2.3 percent in
rural areas, compared with estimated FY
2014 payments. Payments per discharge
to rehabilitation units are estimated to
increase 2.3 percent in urban and rural
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areas. Payments per discharge to
freestanding rehabilitation hospitals are
estimated to increase 2.0 percent in
urban and rural areas.
Overall, IRFs are estimated to
experience a net increase in payments
as a result of the proposed policies in
proposed rule. The largest payment
increase is estimated to be a 3.8 percent
increase for rural IRFs located in the
Pacific region.
Hospital Insurance; and Program No. 93.774,
Medicare—Supplementary Medical
Insurance Program.
Authority: Catalog of Federal Domestic
Assistance Program No. 93.773, Medicare—
[FR Doc. 2014–10321 Filed 5–1–14; 4:15 pm]
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Dated: April 16, 2014.
Marilyn Tavenner,
Administrator, Centers for Medicare &
Medicaid Services.
Approved: April 17, 2014.
Kathleen Sebelius,
Secretary.
BILLING CODE 4120–01–P
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[Federal Register Volume 79, Number 88 (Wednesday, May 7, 2014)]
[Proposed Rules]
[Pages 26307-26354]
From the Federal Register Online via the Government Printing Office [www.gpo.gov]
[FR Doc No: 2014-10321]
[[Page 26307]]
Vol. 79
Wednesday,
No. 88
May 7, 2014
Part II
Department of Health and Human Services
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Centers for Medicare & Medicaid Services
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42 CFR Part 412
Medicare Program; Inpatient Rehabilitation Facility Prospective
Payment System for Federal Fiscal Year 2015; Proposed Rule
Federal Register / Vol. 79 , No. 88 / Wednesday, May 7, 2014 /
Proposed Rules
[[Page 26308]]
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DEPARTMENT OF HEALTH AND HUMAN SERVICES
Centers for Medicare & Medicaid Services
42 CFR Part 412
[CMS-1608-P]
RIN 0938-AS09
Medicare Program; Inpatient Rehabilitation Facility Prospective
Payment System for Federal Fiscal Year 2015
AGENCY: Centers for Medicare & Medicaid Services (CMS), HHS.
ACTION: Proposed rule.
-----------------------------------------------------------------------
SUMMARY: This proposed rule would update the prospective payment rates
for inpatient rehabilitation facilities (IRFs) for federal fiscal year
(FY) 2015 (for discharges occurring on or after October 1, 2014 and on
or before September 30, 2015) as required by the statute. We are also
proposing to collect data on the amount and mode (that is, Individual,
Group, and Co-Treatment) of therapy provided in the IRF setting
according to therapy discipline, revise the list of impairment group
codes that presumptively meet the ``60 percent rule'' compliance
criteria, provide for a new item on the Inpatient Rehabilitation
Facility-Patient Assessment Instrument (IRF-PAI) form to indicate
whether the prior treatment and severity requirements have been met for
arthritis cases to presumptively meet the ``60 percent rule''
compliance criteria, and revise and update quality measures and
reporting requirements under the IRF quality reporting program (QRP).
In this proposed rule, we also address the implementation of the
International Classification of Diseases, 10th Revision, Clinical
Modification (ICD-10-CM), for the IRF prospective payment system (PPS),
effective when ICD-10-CM becomes the required medical data code set for
use on Medicare claims and IRF-PAI submissions.
DATES: To be assured consideration, comments must be received at one of
the addresses provided below, no later than 5 p.m. on June 30, 2014.
ADDRESSES: In commenting, please refer to file code CMS-1608-P. Because
of staff and resource limitations, we cannot accept comments by
facsimile (FAX) transmission.
You may submit comments in one of four ways (please choose only one
of the ways listed):
1. Electronically. You may submit electronic comments on this
regulation to https://www.regulations.gov. Follow the ``Submit a
comment'' instructions.
2. By regular mail. You may mail written comments to the following
address ONLY:
Centers for Medicare & Medicaid Services, Department of Health and
Human Services, Attention: CMS-1608-P, P.O. Box 8016, Baltimore, MD
21244-8016.
Please allow sufficient time for mailed comments to be received
before the close of the comment period.
3. By express or overnight mail. You may send written comments to
the following address ONLY:
Centers for Medicare & Medicaid Services, Department of Health and
Human Services, Attention: CMS-1608-P, Mail Stop C4-26-05, 7500
Security Boulevard, Baltimore, MD 21244-1850.
4. By hand or courier. Alternatively, you may deliver (by hand or
courier) your written comments ONLY to the following addresses prior to
the close of the comment period:
a. For delivery in Washington, DC--Centers for Medicare & Medicaid
Services, Department of Health and Human Services, Room 445-G, Hubert
H. Humphrey Building, 200 Independence Avenue SW., Washington, DC
20201.
(Because access to the interior of the Hubert H. Humphrey Building
is not readily available to persons without Federal government
identification, commenters are encouraged to leave their comments in
the CMS drop slots located in the main lobby of the building. A stamp-
in clock is available for persons wishing to retain a proof of filing
by stamping in and retaining an extra copy of the comments being
filed.)
b. For delivery in Baltimore, MD--Centers for Medicare & Medicaid
Services, Department of Health and Human Services, 7500 Security
Boulevard, Baltimore, MD 21244-1850.
If you intend to deliver your comments to the Baltimore address,
please call telephone number (410) 786-7195 in advance to schedule your
arrival with one of our staff members.
Comments erroneously mailed to the addresses indicated as
appropriate for hand or courier delivery may be delayed and received
after the comment period.
For information on viewing public comments, see the beginning of
the SUPPLEMENTARY INFORMATION section.
FOR FURTHER INFORMATION CONTACT: Gwendolyn Johnson, (410) 786-6954, for
general information. Charles Padgett, (410) 786-2811, for information
about the quality reporting program. Kadie Thomas, (410) 786-0468, or
Susanne Seagrave, (410) 786-0044, for information about the payment
policies and the proposed payment rates.
SUPPLEMENTARY INFORMATION: The IRF PPS Addenda along with other
supporting documents and tables referenced in this proposed rule are
available through the Internet on the CMS Web site at https://www.cms.hhs.gov/Medicare/Medicare-Fee-for-Service-Payment/InpatientRehabFacPPS/.
Inspection of Public Comments: All comments received before the
close of the comment period are available for viewing by the public,
including any personally identifiable or confidential business
information that is included in a comment. We post all comments
received before the close of the comment period on the following Web
site as soon as possible after they have been received: https://www.regulations.gov. Follow the search instructions on that Web site to
view public comments.
Comments received timely will also be available for public
inspection as they are received, generally beginning approximately 3
weeks after publication of a document, at the headquarters of the
Centers for Medicare & Medicaid Services, 7500 Security Boulevard,
Baltimore, Maryland 21244, Monday through Friday of each week from 8:30
a.m. to 4 p.m. To schedule an appointment to view public comments,
phone 1-800-743-3951.
Executive Summary
A. Purpose
This proposed rule updates the payment rates for inpatient
rehabilitation facilities (IRFs) for federal fiscal year (FY) 2015
(that is, for discharges occurring on or after October 1, 2014, and on
or before September 30, 2015) as required under section 1886(j)(3)(C)
of the Social Security Act (the Act). Section 1886(j)(5) of the Act
requires the Secretary to publish in the Federal Register on or before
the August 1 that precedes the start of each fiscal year, the
classification and weighting factors for the IRF prospective payment
system's (PPS) case-mix groups and a description of the methodology and
data used in computing the prospective payment rates for that fiscal
year.
B. Summary of Major Provisions
In this proposed rule, we use the methods described in the FY 2014
IRF PPS final rule (78 FR 47860) to update the federal prospective
payment rates for FY 2015 using updated FY 2013 IRF claims and the most
recent available IRF cost report data. We are also proposing to collect
data on the amount and mode
[[Page 26309]]
(that is, Individual, Group, and Co-Treatment) of therapy provided in
the IRF setting according to therapy discipline, revise the list of
impairment group codes that presumptively meet the ``60 percent rule''
compliance criteria, provide for a new item on the Inpatient
Rehabilitation Facility-Patient Assessment Instrument (IRF-PAI)form to
indicate whether the prior treatment and severity requirements have
been met for arthritis cases to presumptively meet the ``60 percent
rule'' compliance criteria, and revise and update quality measures and
reporting requirements under the IRF QRP. In this proposed rule, we
also address the implementation of the International Classification of
Diseases, 10th Revision, Clinical Modification (ICD-10-CM), for the IRF
prospective payment system (PPS), effective when ICD-10-CM becomes the
required medical data code set for use on Medicare claims and IRF-PAI
submissions.
C. Summary of Impacts
------------------------------------------------------------------------
Provision description Transfers
------------------------------------------------------------------------
FY 2015 IRF PPS payment rate update.. The overall economic impact of
this proposed rule is an
estimated $160 million in
increased payments from the
Federal government to IRFs
during FY 2015.
------------------------------------------------------------------------
Provision description Costs
------------------------------------------------------------------------
New quality reporting program The total costs in FY 2015 for
requirements. IRFs as a result of the proposed
new quality reporting
requirements are estimated to be
$852,238.
------------------------------------------------------------------------
New Individual, Group, and Co- The total costs in FY 2016 for
Treatment therapy reporting IRFs as a result of the proposed
requirements. new Individual, Group, and Co-
Treatment reporting requirements
are estimated to be $1.2
million.
------------------------------------------------------------------------
To assist readers in referencing sections contained in this
document, we are providing the following Table of Contents.
Table of Contents
I. Background
A. Historical Overview of the Inpatient Rehabilitation Facility
Prospective Payment System (IRF PPS)
B. Provisions of the Affordable Care Act Affecting the IRF PPS
in FY 2012 and Beyond
C. Operational Overview of the Current IRF PPS
II. Summary of Provisions of the Proposed Rule
III. Proposed Update to the Case-Mix Group (CMG) Relative Weights
and Average Length of Stay Values for FY 2015
IV. Proposal to Freeze the Facility-Level Adjustment Factors at FY
2014 Levels
A. Background on Facility-Level Adjustments
B. Proposal to Freeze the Facility-Level Adjustment Factors at
FY 2014 Levels
V. Proposed FY 2015 IRF PPS Federal Prospective Payment Rates
A. Proposed Market Basket Increase Factor, Productivity
Adjustment, and Other Adjustment for FY 2015
B. Development of an IRF-Specific Market Basket
C. Secretary's Proposed Recommendation
D. Proposed Labor-Related Share for FY 2015
E. Proposed Wage Adjustment
F. Description of the Proposed IRF Standard Conversion Factor
and Payment Rates for FY 2015
G. Example of the Methodology for Adjusting the Proposed Federal
Prospective Payment Rates
VI. Proposed Update to Payments for High-Cost Outliers under the IRF
PPS
A. Proposed Update to the Outlier Threshold Amount for FY 2015
B. Proposed Update to the IRF Cost-to-Charge Ratio Ceiling and
Urban/Rural Averages
VII. Proposed Refinements to the Presumptive Compliance Methodology
A. Background on the Compliance Percentage
B. Proposed Changes to the Diagnosis Codes That Are Used To
Determine Presumptive Compliance
C. Proposed Changes to the Impairment Group Codes That Meet
Presumptive Compliance Criteria
VIII. Proposed Data Collection of the Amount and Mode (Individual,
Group, and Co-Treatment) of Therapy Provided in IRFs According to
Occupational, Speech, and Physical Therapy Disciplines
IX. Proposed Revision to the IRF-PAI to Add Data Item for Arthritis
Conditions
X. International Classification of Diseases, 10th Revision, Clinical
Modification (ICD-10-CM), Conversion
A. Background on the Use of Diagnosis Information in the IRF PPS
B. Conversion of Diagnosis Information from ICD-9-CM to ICD-10-
CM for the IRF PPS
XI. Proposed Revisions and Updates to the Quality Reporting Program
for IRFs
A. Background and Statutory Authority
B. Quality Measures Previously Finalized for and Currently Used
in the IRF Quality Reporting Program
C. Proposed New IRF QRP Quality Measures Affecting the FY 2017
Adjustments to the IRF PPS Annual Increase Factor and Beyond General
Considerations Used for Selection of Quality Measures for the IRF
QRP
D. IRF QRP Quality Measures and Concepts under Consideration for
Future Years
E. Proposed Timeline for Data Submission for New IRF QRP Quality
Measures Affecting the FY 2017 Adjustments to the IRF PPS Annual
Increase Factor
F. Proposed Timing for New IRFs to Begin Reporting Quality Data
under the IRF QRP Affecting the FY 2017 Adjustments to the IRF PPS
Annual Increase Factor and Beyond
G. Proposed IRF QRP Data Submission Exception or Extension
Requirements for the FY 2017 Adjustments to the IRF PPS Annual
Increase Factor and Beyond
H. Proposed IRF QRP Data Submission Exception or Extension
Requirements for the FY 2017 Adjustments to the IRF PPS Annual
Increase Factor and Beyond
I. Public Display of Quality Measure Data for the IRF QRP
J. Proposed IRF QRP Data Completion Thresholds for the FY 2016
Adjustments to the IRF PPS Annual Increase Factor and Beyond
K. Proposed Data Validation Process for the FY 2017 Adjustments
to the IRF PPS Annual Increase Factor and Beyond
L. Application of the 2 Percentage Point Reduction for IRF
Providers that Fail to Meet the Above Proposed Data Accuracy
Threshold
M. Electronic Health Record and Health Information Exchange
N. Proposed Method for Applying the Reduction to the FY 2015 IRF
Increase Factor for IRFs That Fail to Meet the Quality Reporting
Requirements
XII. Collection of Information Requirements
A. ICRs Regarding the IRF QRP
B. ICRs Regarding Individual, Group, and Co-Treatment Therapy
Data on the IRF-PAI
XIII. Response to Public Comments
XIV. Regulatory Impact Analysis
A. Statement of Need
B. Overall Impacts
C. Detailed Economic Analysis
D. Alternatives Considered
E. Accounting Statement
F. Conclusion
Acronyms, Abbreviations, and Short Forms
Because of the many terms to which we refer by acronym,
abbreviation, or short form in this proposed rule, we are listing the
acronyms, abbreviation, and short forms used and their
[[Page 26310]]
corresponding terms in alphabetical order below.
The Act The Social Security Act
ADC Average Daily Census
The Affordable Care Act Patient Protection and Affordable Care Act
(Pub. L. 111-148, enacted on March 23, 2010)
AHA American Hospital Association
AHIMA American Health Information Management Association
ASCA Administrative Simplification Compliance Act (Pub. L. 107-105,
enacted on December 27, 2002)
BLS U.S. Bureau of Labor Statistics
CAH Critical Access Hospitals
CAUTI Catheter-Associated Urinary Tract Infection
CBSA Core-Based Statistical Area
CCR Cost-to-Charge Ratio
CDC The Centers for Disease Control and Prevention
CDI Clostridium difficile Infection
CFR Code of Federal Regulations
CMG Case-Mix Group
CMS Centers for Medicare & Medicaid Services
DRA Deficit Reduction Act of 2005 (Pub. L. 109-171, enacted February
8, 2006)
DSH Disproportionate Share Hospital
DSH PP Disproportionate Share Patient Percentage
EHR Electronic Health Record
ESRD End-Stage Renal Disease
FR Federal Register
FY Federal Fiscal Year
GEMs General Equivalence Mappings
HAI Healthcare Associated Infection
HCP Health Care Personnel
HHS U.S. Department of Health & Human Services
HIE Health Information Exchange
HIPAA Health Insurance Portability and Accountability Act of 1996
(Pub. L. 104-191, enacted on August 21, 1996)
ICD-9-CM The International Classification of Diseases, 9th Revision,
Clinical Modification
ICD-10-CM The International Classification of Diseases, 10th
Revision, Clinical Modification
ICRs Information Collection Requirements
IGC Impairment Group Code
IGI IHS Global Insight
IPF Inpatient Psychiatric Facility
IPPS Inpatient Prospective Payment System
IQR Inpatient Quality Reporting Program
IRF Inpatient Rehabilitation Facility
IRF-PAI Inpatient Rehabilitation Facility-Patient Assessment
Instrument
IRF PPS Inpatient Rehabilitation Facility Prospective Payment System
IRVEN Inpatient Rehabilitation Validation and Entry
LIP Low-Income Percentage
LPN Licensed Practical Nurse
LTCH Long-Term Care Hospital
MAC Medicare Administrative Contractor
MAP Measure Applications Partnership
MA (Medicare Part C) Medicare Advantage
MedPAC Medicare Payment Advisory Commission
MedPAR Medicare Provider Analysis and Review
MDS Minimum Data Set
MFP Multifactor Productivity
MMSEA Medicare, Medicaid, and SCHIP Extension Act of 2007 (Pub. L.
110-173, enacted on December 29, 2007)
MRSA Methicillin-Resistant Staphylococcus aureus
MSA Metropolitan Statistical Area
MUC Measures under Consideration
NHSN National Healthcare Safety Network
NPP National Priorities Partnership
NQF National Quality Forum
OMB Office of Management and Budget
ONC Office of the National Coordinator for Health Information
Technology
PAI Patient Assessment Instrument
PPI Producer Price Index
PPS Prospective Payment System
PRA Paperwork Reduction Act of 1995 (Pub. L. 104-13, enacted on May
22, 1995)
PRRB Provider Reimbursement Review Board
QM Quality Measure
QRP Quality Reporting Program
RIA Regulatory Impact Analysis
RIC Rehabilitation Impairment Category
RFA Regulatory Flexibility Act (Pub. L. 96-354, enacted on September
19, 1980)
RN Registered Nurse
RPL Rehabilitation, Psychiatric, and Long-Term Care market basket
UMRA Unfunded Mandates Reform Act of 1995 (Pub. L. 104-4, enacted on
March 22, 1995)
I. Background
A. Historical Overview of the Inpatient Rehabilitation Facility
Prospective Payment System (IRF PPS)
Section 1886(j) of the Act provides for the implementation of a
per-discharge prospective payment system (PPS) for inpatient
rehabilitation hospitals and inpatient rehabilitation units of a
hospital (collectively, hereinafter referred to as IRFs).
Payments under the IRF PPS encompass inpatient operating and
capital costs of furnishing covered rehabilitation services (that is,
routine, ancillary, and capital costs), but not direct graduate medical
education costs, costs of approved nursing and allied health education
activities, bad debts, and other services or items outside the scope of
the IRF PPS. Although a complete discussion of the IRF PPS provisions
appears in the original FY 2002 IRF PPS final rule (66 FR 41316) and
the FY 2006 IRF PPS final rule (70 FR 47880), we are providing below a
general description of the IRF PPS for fiscal years (FYs) 2002 through
2013.
Under the IRF PPS from FY 2002 through FY 2005, as described in the
FY 2002 IRF PPS final rule (66 FR 41316), the federal prospective
payment rates were computed across 100 distinct case-mix groups (CMGs).
We constructed 95 CMGs using rehabilitation impairment categories
(RICs), functional status (both motor and cognitive), and age (in some
cases, cognitive status and age may not be a factor in defining a CMG).
In addition, we constructed five special CMGs to account for very short
stays and for patients who expire in the IRF.
For each of the CMGs, we developed relative weighting factors to
account for a patient's clinical characteristics and expected resource
needs. Thus, the weighting factors accounted for the relative
difference in resource use across all CMGs. Within each CMG, we created
tiers based on the estimated effects that certain comorbidities would
have on resource use.
We established the federal PPS rates using a standardized payment
conversion factor (formerly referred to as the budget-neutral
conversion factor). For a detailed discussion of the budget-neutral
conversion factor, please refer to our FY 2004 IRF PPS final rule (68
FR 45684 through 45685). In the FY 2006 IRF PPS final rule (70 FR
47880), we discussed in detail the methodology for determining the
standard payment conversion factor.
We applied the relative weighting factors to the standard payment
conversion factor to compute the unadjusted federal prospective payment
rates under the IRF PPS from FYs 2002 through 2005. Within the
structure of the payment system, we then made adjustments to account
for interrupted stays, transfers, short stays, and deaths. Finally, we
applied the applicable adjustments to account for geographic variations
in wages (wage index), the percentage of low-income patients, location
in a rural area (if applicable), and outlier payments (if applicable)
to the IRFs' unadjusted federal prospective payment rates.
For cost reporting periods that began on or after January 1, 2002,
and before October 1, 2002, we determined the final prospective payment
amounts using the transition methodology prescribed in section
1886(j)(1) of the Act. Under this provision, IRFs transitioning into
the PPS were paid a blend of the federal IRF PPS rate and the payment
that the IRFs would have received had the IRF PPS not been implemented.
This provision also allowed IRFs to elect to bypass this blended
payment and immediately be paid 100 percent of the federal IRF PPS
rate. The transition methodology expired as of cost reporting periods
beginning on or after October 1, 2002 (FY 2003), and payments for all
IRFs now consist of 100 percent of the federal IRF PPS rate.
We established a CMS Web site as a primary information resource for
the IRF PPS which is available at https://www.cms.gov/Medicare/Medicare-
Fee-for-ServicePayment/
[[Page 26311]]
InpatientRehabFacPPS/. The Web site may be accessed to
download or view publications, software, data specifications,
educational materials, and other information pertinent to the IRF PPS.
Section 1886(j) of the Act confers broad statutory authority upon
the Secretary to propose refinements to the IRF PPS. In the FY 2006 IRF
PPS final rule (70 FR 47880) and in correcting amendments to the FY
2006 IRF PPS final rule (70 FR 57166) that we published on September
30, 2005, we finalized a number of refinements to the IRF PPS case-mix
classification system (the CMGs and the corresponding relative weights)
and the case-level and facility-level adjustments. These refinements
included the adoption of the Office of Management and Budget's (OMB)
Core-Based Statistical Area (CBSA) market definitions, modifications to
the CMGs, tier comorbidities, and CMG relative weights, implementation
of a new teaching status adjustment for IRFs, revision and rebasing of
the market basket index used to update IRF payments, and updates to the
rural, low-income percentage (LIP), and high-cost outlier adjustments.
Beginning with the FY 2006 IRF PPS final rule (70 FR 47908 through
47917), the market basket index used to update IRF payments is a market
basket reflecting the operating and capital cost structures for
freestanding IRFs, freestanding inpatient psychiatric facilities
(IPFs), and long-term care hospitals (LTCHs) (hereafter referred to as
the rehabilitation, psychiatric, and long-term care (RPL) market
basket). Any reference to the FY 2006 IRF PPS final rule in this
proposed rule also includes the provisions effective in the correcting
amendments. For a detailed discussion of the final key policy changes
for FY 2006, please refer to the FY 2006 IRF PPS final rule (70 FR
47880 and 70 FR 57166).
In the FY 2007 IRF PPS final rule (71 FR 48354), we further refined
the IRF PPS case-mix classification system (the CMG relative weights)
and the case-level adjustments, to ensure that IRF PPS payments would
continue to reflect as accurately as possible the costs of care. For a
detailed discussion of the FY 2007 policy revisions, please refer to
the FY 2007 IRF PPS final rule (71 FR 48354).
In the FY 2008 IRF PPS final rule (72 FR 44284), we updated the
federal prospective payment rates and the outlier threshold, revised
the IRF wage index policy, and clarified how we determine high-cost
outlier payments for transfer cases. For more information on the policy
changes implemented for FY 2008, please refer to the FY 2008 IRF PPS
final rule (72 FR 44284), in which we published the final FY 2008 IRF
federal prospective payment rates.
After publication of the FY 2008 IRF PPS final rule (72 FR 44284),
section 115 of the Medicare, Medicaid, and SCHIP Extension Act of 2007
(Pub. L. 110-173, enacted on December 29, 2007) (MMSEA), amended
section 1886(j)(3)(C) of the Act to apply a zero percent increase
factor for FYs 2008 and 2009, effective for IRF discharges occurring on
or after April 1, 2008. Section 1886(j)(3)(C) of the Act required the
Secretary to develop an increase factor to update the IRF federal
prospective payment rates for each FY. Based on the legislative change
to the increase factor, we revised the FY 2008 federal prospective
payment rates for IRF discharges occurring on or after April 1, 2008.
Thus, the final FY 2008 IRF federal prospective payment rates that were
published in the FY 2008 IRF PPS final rule (72 FR 44284) were
effective for discharges occurring on or after October 1, 2007, and on
or before March 31, 2008; and the revised FY 2008 IRF federal
prospective payment rates were effective for discharges occurring on or
after April 1, 2008, and on or before September 30, 2008. The revised
FY 2008 federal prospective payment rates are available on the CMS Web
site at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/InpatientRehabFacPPS/Data-Files.html.
In the FY 2009 IRF PPS final rule (73 FR 46370), we updated the CMG
relative weights, the average length of stay values, and the outlier
threshold; clarified IRF wage index policies regarding the treatment of
``New England deemed'' counties and multi-campus hospitals; and revised
the regulation text in response to section 115 of the MMSEA to set the
IRF compliance percentage at 60 percent (the ``60 percent rule'') and
continue the practice of including comorbidities in the calculation of
compliance percentages. We also applied a zero percent market basket
increase factor for FY 2009 in accordance with section 115 of the
MMSEA. For more information on the policy changes implemented for FY
2009, please refer to the FY 2009 IRF PPS final rule (73 FR 46370), in
which we published the final FY 2009 IRF federal prospective payment
rates.
In the FY 2010 IRF PPS final rule (74 FR 39762) and in correcting
amendments to the FY 2010 IRF PPS final rule (74 FR 50712) that we
published on October 1, 2009, we updated the federal prospective
payment rates, the CMG relative weights, the average length of stay
values, the rural, LIP, teaching status adjustment factors, and the
outlier threshold; implemented new IRF coverage requirements for
determining whether an IRF claim is reasonable and necessary; and
revised the regulation text to require IRFs to submit patient
assessments on Medicare Advantage (MA) (Medicare Part C) patients for
use in the 60 percent rule calculations. Any reference to the FY 2010
IRF PPS final rule in this proposed rule also includes the provisions
effective in the correcting amendments. For more information on the
policy changes implemented for FY 2010, please refer to the FY 2010 IRF
PPS final rule (74 FR 39762 and 74 FR 50712), in which we published the
final FY 2010 IRF federal prospective payment rates.
After publication of the FY 2010 IRF PPS final rule (74 FR 39762),
section 3401(d) of the Patient Protection and Affordable Care Act (Pub.
L. 111-148, enacted on March 23, 2010), as amended by section 10319 of
the same Act and by section 1105 of the Health Care and Education
Reconciliation Act of 2010 (Pub. L. 111-152, enacted on March 30, 2010)
(collectively, hereafter referred to as ``The Affordable Care Act''),
amended section 1886(j)(3)(C) of the Act and added section
1886(j)(3)(D) of the Act. Section 1886(j)(3)(C) of the Act requires the
Secretary to estimate a multi-factor productivity adjustment to the
market basket increase factor, and to apply other adjustments as
defined by the Act. The productivity adjustment applies to FYs from
2012 forward. The other adjustments apply to FYs 2010 to 2019.
Sections 1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(i) of the Act
defined the adjustments that were to be applied to the market basket
increase factors in FYs 2010 and 2011. Under these provisions, the
Secretary was required to reduce the market basket increase factor in
FY 2010 by a 0.25 percentage point adjustment. Notwithstanding this
provision, in accordance with section 3401(p) of the Affordable Care
Act, the adjusted FY 2010 rate was only to be applied to discharges
occurring on or after April 1, 2010. Based on the self-implementing
legislative changes to section 1886(j)(3) of the Act, we adjusted the
FY 2010 federal prospective payment rates as required, and applied
these rates to IRF discharges occurring on or after April 1, 2010, and
on or before September 30, 2010. Thus, the final FY 2010 IRF federal
prospective payment rates that were published in the FY 2010 IRF PPS
final rule (74 FR 39762) were used for discharges occurring on or after
October
[[Page 26312]]
1, 2009, and on or before March 31, 2010, and the adjusted FY 2010 IRF
federal prospective payment rates applied to discharges occurring on or
after April 1, 2010, and on or before September 30, 2010. The adjusted
FY 2010 federal prospective payment rates are available on the CMS Web
site at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/InpatientRehabFacPPS/Data-Files.html.
In addition, sections 1886(j)(3)(C) and (D) of the Act also
affected the FY 2010 IRF outlier threshold amount because they required
an adjustment to the FY 2010 RPL market basket increase factor, which
changed the standard payment conversion factor for FY 2010.
Specifically, the original FY 2010 IRF outlier threshold amount was
determined based on the original estimated FY 2010 RPL market basket
increase factor of 2.5 percent and the standard payment conversion
factor of $13,661. However, as adjusted, the IRF prospective payments
are based on the adjusted RPL market basket increase factor of 2.25
percent and the revised standard payment conversion factor of $13,627.
To maintain estimated outlier payments for FY 2010 equal to the
established standard of 3 percent of total estimated IRF PPS payments
for FY 2010, we revised the IRF outlier threshold amount for FY 2010
for discharges occurring on or after April 1, 2010, and on or before
September 30, 2010. The revised IRF outlier threshold amount for FY
2010 was $10,721.
Sections 1886(j)(3)(c)(ii)(II) and 1886(j)(3)(D)(i) of the Act also
required the Secretary to reduce the market basket increase factor in
FY 2011 by a 0.25 percentage point adjustment. The FY 2011 IRF PPS
notice (75 FR 42836) and the correcting amendments to the FY 2011 IRF
PPS notice (75 FR 70013) described the required adjustments to the FY
2011 and FY 2010 IRF PPS federal prospective payment rates and outlier
threshold amount for IRF discharges occurring on or after April 1,
2010, and on or before September 30, 2011. It also updated the FY 2011
federal prospective payment rates, the CMG relative weights, and the
average length of stay values. Any reference to the FY 2011 IRF PPS
notice in this proposed rule also includes the provisions effective in
the correcting amendments. For more information on the FY 2010 and FY
2011 adjustments or the updates for FY 2011, please refer to the FY
2011 IRF PPS notice (75 FR 42836 and 75 FR 70013).
In the FY 2012 IRF PPS final rule (76 FR 47836), we updated the IRF
federal prospective payment rates, rebased and revised the RPL market
basket, and established a new quality reporting program for IRFs in
accordance with section 1886(j)(7) of the Act. We also revised
regulation text for the purpose of updating and providing greater
clarity. For more information on the policy changes implemented for FY
2012, please refer to the FY 2012 IRF PPS final rule (76 FR 47836), in
which we published the final FY 2012 IRF federal prospective payment
rates.
The FY 2013 IRF PPS notice (77 FR 44618) described the required
adjustments to the FY 2013 federal prospective payment rates and
outlier threshold amount for IRF discharges occurring on or after
October 1, 2012, and on or before September 30, 2013. It also updated
the FY 2013 federal prospective payment rates, the CMG relative
weights, and the average length of stay values. For more information on
the updates for FY 2013, please refer to the FY 2013 IRF PPS notice (77
FR 44618).
In the FY 2014 IRF PPS final rule (78 FR 47860), we updated the
federal prospective payment rates, the CMG relative weights, and the
outlier threshold amount. We also updated the facility-level adjustment
factors using an enhanced estimation methodology, revised the list of
diagnosis codes that count toward an IRF's ``60 percent rule''
compliance calculation to determine ``presumptive compliance,'' revised
sections of the Inpatient Rehabilitation Facility-Patient Assessment
Instrument (IRF-PAI), revised requirements for acute care hospitals
that have IRF units, clarified the IRF regulation text regarding
limitation of review, updated references to previously changed sections
in the regulations text, and revised and updated quality measures and
reporting requirements under the IRF quality reporting program. For
more information on the policy changes implemented for FY 2014, please
refer to the FY 2014 IRF PPS final rule (78 FR 47860), in which we
published the final FY 2014 IRF federal prospective payment rates.
B. Provisions of the Affordable Care Act Affecting the IRF PPS in FY
2012 and Beyond
The Affordable Care Act included several provisions that affect the
IRF PPS in FYs 2012 and beyond. In addition to what was discussed
above, section 3401(d) of the Affordable Care Act also added section
1886(j)(3)(C)(ii)(I) (providing for a ``productivity adjustment'' for
fiscal year 2012 and each subsequent fiscal year). The proposed
productivity adjustment for FY 2015 is discussed in section V.A. of
this proposed rule. Section 3401(d) of the Affordable Care Act requires
an additional 0.2 percentage point adjustment to the IRF increase
factor for FY 2015, as discussed in section V.A. of this proposed rule.
Section 1886(j)(3)(C)(ii)(II) of the Act notes that the application of
these adjustments to the market basket update may result in an update
that is less than 0.0 for a fiscal year and in payment rates for a
fiscal year being less than such payment rates for the preceding fiscal
year.
Section 3004(b) of the Affordable Care Act also addressed the IRF
PPS program. It reassigned the previously designated section 1886(j)(7)
of the Act to section 1886(j)(8) and inserted a new section 1886(j)(7),
which contains requirements for the Secretary to establish a quality
reporting program for IRFs. Under that program, data must be submitted
in a form and manner and at a time specified by the Secretary.
Beginning in FY 2014, section 1886(j)(7)(A)(i) of the Act requires the
application of a 2 percentage point reduction of the applicable market
basket increase factor for IRFs that fail to comply with the quality
data submission requirements. Application of the 2 percentage point
reduction may result in an update that is less than 0.0 for a fiscal
year and in payment rates for a fiscal year being less than such
payment rates for the preceding fiscal year. Reporting-based reductions
to the market basket increase factor will not be cumulative; they will
only apply for the FY involved.
Under section 1886(j)(7)(D)(i) and (ii) of the Act, the Secretary
is generally required to select quality measures for the IRF quality
reporting program from those that have been endorsed by the consensus-
based entity which holds a performance measurement contract under
section 1890(a) of the Act. This contract is currently held by the
National Quality Forum (NQF). So long as due consideration is given to
measures that have been endorsed or adopted by a consensus-based
organization, section 1886(j)(7)(D)(ii) of the Act authorizes the
Secretary to select non-endorsed measures for specified areas or
medical topics when there are no feasible or practical endorsed
measure(s).
Section 1886(j)(7)(E) of the Act requires the Secretary to
establish procedures for making the IRF PPS quality reporting data
available to the public. In so doing, the Secretary must ensure that
IRFs have the opportunity to review any such data prior to its release
to the public. Future rulemaking will address these public reporting
obligations.
[[Page 26313]]
C. Operational Overview of the Current IRF PPS
As described in the FY 2002 IRF PPS final rule, upon the admission
and discharge of a Medicare Part A Fee-for-Service patient, the IRF is
required to complete the appropriate sections of a patient assessment
instrument (PAI), designated as the Inpatient Rehabilitation Facility-
Patient Assessment Instrument (IRF-PAI). In addition, beginning with
IRF discharges occurring on or after October 1, 2009, the IRF is also
required to complete the appropriate sections of the IRF-PAI upon the
admission and discharge of each Medicare Part C (Medicare Advantage)
patient, as described in the FY 2010 IRF PPS final rule. All required
data must be electronically encoded into the IRF-PAI software product.
Generally, the software product includes patient classification
programming called the Grouper software. The Grouper software uses
specific IRF-PAI data elements to classify (or group) patients into
distinct CMGs and account for the existence of any relevant
comorbidities.
The Grouper software produces a 5-character CMG number. The first
character is an alphabetic character that indicates the comorbidity
tier. The last 4 characters are numeric characters that represent the
distinct CMG number. Free downloads of the Inpatient Rehabilitation
Validation and Entry (IRVEN) software product, including the Grouper
software, are available on the CMS Web site at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/InpatientRehabFacPPS/Software.html.
Once a Medicare Fee-for-Service Part A patient is discharged, the
IRF submits a Medicare claim as a Health Insurance Portability and
Accountability Act of 1996 (Pub. L. 104-191, enacted on August 21,
1996) (HIPAA) compliant electronic claim or, if the Administrative
Simplification Compliance Act of 2002 (Pub. L. 107-105, enacted on
December 27, 2002) (ASCA) permits, a paper claim (a UB-04 or a CMS-1450
as appropriate) using the five-character CMG number and sends it to the
appropriate Medicare Administrative Contractor (MAC). In addition, once
a Medicare Advantage patient is discharged, in accordance with the
Medicare Claims Processing Manual, chapter 3, section 20.3 (Pub. 100-
04), hospitals (including IRFs) must submit an informational-only bill
(TOB 111), which includes Condition Code 04 to their Medicare
contractor. This will ensure that the Medicare Advantage days are
included in the hospital's Supplemental Security Income (SSI) ratio
(used in calculating the IRF low-income percentage adjustment) for
Fiscal Year 2007 and beyond. Claims submitted to Medicare must comply
with both ASCA and HIPAA.
Section 3 of the ASCA amends section 1862(a) of the Act by adding
paragraph (22) which requires the Medicare program, subject to section
1862(h) of the Act, to deny payment under Part A or Part B for any
expenses for items or services ``for which a claim is submitted other
than in an electronic form specified by the Secretary.'' Section
1862(h) of the Act, in turn, provides that the Secretary shall waive
such denial in situations in which there is no method available for the
submission of claims in an electronic form or the entity submitting the
claim is a small provider. In addition, the Secretary also has the
authority to waive such denial ``in such unusual cases as the Secretary
finds appropriate.'' For more information, see the ``Medicare Program;
Electronic Submission of Medicare Claims'' final rule (70 FR 71008).
Our instructions for the limited number of Medicare claims submitted on
paper are available at https://www.cms.gov/manuals/downloads/clm104c25.pdf.
Section 3 of the ASCA operates in the context of the administrative
simplification provisions of HIPAA, which include, among others, the
requirements for transaction standards and code sets codified in 45
CFR, parts 160 and 162, subparts A and I through R (generally known as
the Transactions Rule). The Transactions Rule requires covered
entities, including covered health care providers, to conduct covered
electronic transactions according to the applicable transaction
standards. (See the CMS program claim memoranda at https://www.cms.gov/ElectronicBillingEDITrans/ and listed in the addenda to the Medicare
Intermediary Manual, Part 3, section 3600).
The MAC processes the claim through its software system. This
software system includes pricing programming called the ``Pricer''
software. The Pricer software uses the CMG number, along with other
specific claim data elements and provider-specific data, to adjust the
IRF's prospective payment for interrupted stays, transfers, short
stays, and deaths, and then applies the applicable adjustments to
account for the IRF's wage index, percentage of low-income patients,
rural location, and outlier payments. For discharges occurring on or
after October 1, 2005, the IRF PPS payment also reflects the teaching
status adjustment that became effective as of FY 2006, as discussed in
the FY 2006 IRF PPS final rule (70 FR 47880).
II. Summary of Provisions of the Proposed Rule
In this proposed rule, we propose to update the IRF Federal
prospective payment rates, collect data on the amount and mode (that
is, Individual, Group, and Co-Treatment) of therapies provided in the
IRF setting according to therapy discipline, revise the list of
impairment group codes that presumptively meet the ``60 percent rule''
compliance criteria, provide for a new item on the IRF-PAI form to
indicate whether the prior treatment and severity requirements have
been met for arthritis cases to presumptively meet the ``60 percent
rule'' compliance criteria, and revise and update quality measures and
reporting requirements under the IRF QRP. In this proposed rule, we
also address the implementation of the International Classification of
Diseases, 10th Revision, Clinical Modification (ICD-10-CM), for the IRF
prospective payment system (PPS), effective when ICD-10-CM becomes the
required medical data code set for use on Medicare claims and IRF-PAI
submissions.
The proposed updates to the IRF federal prospective payment rates
for FY 2015 are as follows:
Update the FY 2015 IRF PPS relative weights and average
length of stay values using the most current and complete Medicare
claims and cost report data in a budget-neutral manner, as discussed in
section III of this proposed rule.
Discuss our rationale for freezing the IRF facility-level
adjustment factors at FY 2014 levels, as discussed in section IV of
this proposed rule.
Update the FY 2015 IRF PPS payment rates by the proposed
market basket increase factor, based upon the most current data
available, with a 0.2 percentage point reduction as required by
sections 1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(iv) of the Act and a
proposed productivity adjustment required by section
1886(j)(3)(C)(ii)(I) of the Act, as described in section V of this
proposed rule.
Discuss the Secretary's Proposed Recommendation for
updating IRF PPS payments for FY 2015, in accordance with the statutory
requirements, as described in section V of this proposed rule.
Update the FY 2015 IRF PPS payment rates by the FY 2015
wage index and the labor-related share in a budget-neutral manner, as
discussed in section V of this proposed rule.
[[Page 26314]]
Describe the calculation of the IRF Standard Payment
Conversion Factor for FY 2015, as discussed in section V of this
proposed rule.
Update the outlier threshold amount for FY 2015, as
discussed in section VI of this proposed rule.
Update the cost-to-charge ratio (CCR) ceiling and urban/
rural average CCRs for FY 2015, as discussed in section VI of this
proposed rule.
Describe proposed revisions to the list of eligible
diagnosis codes that are used to determine presumptive compliance under
the 60 percent rule in section VII of this proposed rule.
Describe proposed revisions to the list of eligible
impairment group codes that presumptively meet the ``60 percent rule''
compliance criteria in section VII of this proposed rule.
Describe proposed data collection of the amount and mode
(that is, of Individual, Group, and Co-Treatment) of therapies provided
in IRFs according to occupational, speech, and physical therapy
disciplines via the IRF-PAI in section VIII of this proposed rule.
Describe a proposed revision to the IRF-PAI to add a new
data item for arthritis conditions in section IX of this proposed rule.
Describe the conversion of the IRF PPS to ICD-10-CM,
effective when ICD-10-CM becomes the required medical data code set for
use on Medicare claims and IRF-PAI submissions, in section X of this
proposed rule.
Describe proposed revisions and updates to quality
measures and reporting requirements under the quality reporting program
for IRFs in accordance with section 1886(j)(7) of the Act, as discussed
in section XI of this proposed rule.
III. Proposed Update to the Case-Mix Group (CMG) Relative Weights and
Average Length of Stay Values for FY 2015
As specified in Sec. 412.620(b)(1), we calculate a relative weight
for each CMG that is proportional to the resources needed by an average
inpatient rehabilitation case in that CMG. For example, cases in a CMG
with a relative weight of 2, on average, will cost twice as much as
cases in a CMG with a relative weight of 1. Relative weights account
for the variance in cost per discharge due to the variance in resource
utilization among the payment groups, and their use helps to ensure
that IRF PPS payments support beneficiary access to care, as well as
provider efficiency.
In this proposed rule, we propose to update the CMG relative
weights and average length of stay values for FY 2015. As required by
statute, we always use the most recent available data to update the CMG
relative weights and average lengths of stay. For FY 2015, we propose
to use the FY 2013 IRF claims and FY 2012 IRF cost report data. These
data are the most current and complete data available at this time.
Currently, only a small portion of the FY 2013 IRF cost report data are
available for analysis, but the majority of the FY 2013 IRF claims data
are available for analysis.
In this proposed rule, we propose to apply these data using the
same methodologies that we have used to update the CMG relative weights
and average length of stay values each fiscal year since we implemented
an update to the methodology to use the more detailed cost-to-charge
ratio (CCRs) data from the cost reports of IRF subprovider units of
primary acute care hospitals, instead of CCR data from the associated
primary care hospitals, to calculate IRFs' average costs per case, as
discussed in the FY 2009 IRF PPS final rule (73 FR 46372). In
calculating the CMG relative weights, we use a hospital-specific
relative value method to estimate operating (routine and ancillary
services) and capital costs of IRFs. The process used to calculate the
CMG relative weights for this proposed rule is as follows:
Step 1. We estimate the effects that comorbidities have on costs.
Step 2. We adjust the cost of each Medicare discharge (case) to
reflect the effects found in the first step.
Step 3. We use the adjusted costs from the second step to calculate
CMG relative weights, using the hospital-specific relative value
method.
Step 4. We normalize the FY 2015 CMG relative weights to the same
average CMG relative weight from the CMG relative weights implemented
in the FY 2014 IRF PPS final rule (78 FR 47860).
Consistent with the methodology that we have used to update the IRF
classification system in each instance in the past, we propose to
update the CMG relative weights for FY 2015 in such a way that total
estimated aggregate payments to IRFs for FY 2015 are the same with or
without the changes (that is, in a budget-neutral manner) by applying a
budget neutrality factor to the standard payment amount. To calculate
the appropriate budget neutrality factor for use in updating the FY
2015 CMG relative weights, we use the following steps:
Step 1. Calculate the estimated total amount of IRF PPS payments
for FY 2015 (with no changes to the CMG relative weights).
Step 2. Calculate the estimated total amount of IRF PPS payments
for FY 2015 by applying the changes to the CMG relative weights (as
discussed above).
Step 3. Divide the amount calculated in step 1 by the amount
calculated in step 2 to determine the budget neutrality factor (1.0000)
that would maintain the same total estimated aggregate payments in FY
2015 with and without the changes to the CMG relative weights.
Step 4. Apply the budget neutrality factor (1.0000) to the FY 2014
IRF PPS standard payment amount after the application of the budget-
neutral wage adjustment factor.
In section V.F. of this proposed rule, we discuss the proposed use
of the existing methodology to calculate the standard payment
conversion factor for FY 2015.
Table 1, ``Relative Weights and Average Length of Stay Values for
Case-Mix Groups,'' presents the CMGs, the comorbidity tiers, the
corresponding relative weights, and the average length of stay values
for each CMG and tier for FY 2015. The average length of stay for each
CMG is used to determine when an IRF discharge meets the definition of
a short-stay transfer, which results in a per diem case level
adjustment.
Table 1--Proposed Relative Weights and Average Length of Stay Values for Case-Mix Groups
--------------------------------------------------------------------------------------------------------------------------------------------------------
Relative weight Average length of stay
CMG CMG description (M=motor, -----------------------------------------------------------------------------------------------
C=cognitive, A=age) Tier1 Tier2 Tier3 None Tier1 Tier2 Tier3 None
--------------------------------------------------------------------------------------------------------------------------------------------------------
0101...................... Stroke M>51.05.............. 0.7860 0.7173 0.6524 0.6255 9 10 8 8
0102...................... Stroke M>44.45 and M<51.05 0.9836 0.8977 0.8165 0.7829 11 11 10 10
and C>18.5.
0103...................... Stroke M>44.45 and M<51.05 1.1645 1.0627 0.9666 0.9268 12 14 12 12
and C<18.5.
[[Page 26315]]
0104...................... Stroke M>38.85 and M<44.45.. 1.2109 1.1051 1.0052 0.9638 13 13 12 12
0105...................... Stroke M>34.25 and M<38.85.. 1.4154 1.2917 1.1750 1.1266 14 14 14 14
0106...................... Stroke M>30.05 and M<34.25.. 1.6119 1.4710 1.3381 1.2829 16 16 15 15
0107...................... Stroke M>26.15 and M<30.05.. 1.8023 1.6448 1.4961 1.4345 17 19 17 17
0108...................... Stroke M<26.15 and A>84.5... 2.2450 2.0488 1.8636 1.7868 22 23 21 21
0109...................... Stroke M>22.35 and M<26.15 2.0545 1.8749 1.7055 1.6352 19 20 19 19
and A<84.5.
0110...................... Stroke M<22.35 and A<84.5... 2.6893 2.4542 2.2324 2.1404 28 27 24 24
0201...................... Traumatic brain injury 0.8151 0.6688 0.6000 0.5714 10 9 8 8
M>53.35 and C>23.5.
0202...................... Traumatic brain injury 1.0534 0.8644 0.7755 0.7385 12 10 9 10
M>44.25 and M<53.35 and
C>23.5.
0203...................... Traumatic brain injury 1.2101 0.9930 0.8909 0.8484 13 12 12 11
M>44.25 and C<23.5.
0204...................... Traumatic brain injury 1.3295 1.0909 0.9788 0.9321 12 13 12 12
M>40.65 and M<44.25.
0205...................... Traumatic brain injury 1.5842 1.2999 1.1663 1.1106 14 15 14 14
M>28.75 and M<40.65.
0206...................... Traumatic brain injury 1.9178 1.5737 1.4119 1.3445 19 18 16 16
M>22.05 and M<28.75.
0207...................... Traumatic brain injury 2.5453 2.0885 1.8738 1.7844 32 24 21 20
M<22.05.
0301...................... Non-traumatic brain injury 1.1082 0.9337 0.8460 0.7804 10 11 10 10
M>41.05.
0302...................... Non-traumatic brain injury 1.3856 1.1674 1.0578 0.9757 13 13 12 12
M>35.05 and M<41.05.
0303...................... Non-traumatic brain injury 1.6437 1.3849 1.2548 1.1575 16 15 14 14
M>26.15 and M<35.05.
0304...................... Non-traumatic brain injury 2.1604 1.8202 1.6492 1.5213 23 21 18 17
M<26.15.
0401...................... Traumatic spinal cord injury 1.0303 0.8804 0.8112 0.7252 12 12 10 9
M>48.45.
0402...................... Traumatic spinal cord injury 1.4049 1.2005 1.1061 0.9889 15 14 14 12
M>30.35 and M<48.45.
0403...................... Traumatic spinal cord injury 2.3117 1.9754 1.8200 1.6271 26 21 20 20
M>16.05 and M<30.35.
0404...................... Traumatic spinal cord injury 4.0674 3.4756 3.2022 2.8628 55 39 33 33
M<16.05 and A>63.5.
0405...................... Traumatic spinal cord injury 3.2778 2.8009 2.5807 2.3071 26 34 29 25
M<16.05 and A<63.5.
0501...................... Non-traumatic spinal cord 0.8442 0.6777 0.6206 0.5621 9 10 9 8
injury M>51.35.
0502...................... Non-traumatic spinal cord 1.1667 0.9367 0.8578 0.7769 11 12 10 10
injury M>40.15 and M<51.35.
0503...................... Non-traumatic spinal cord 1.4465 1.1613 1.0635 0.9632 15 13 13 12
injury M>31.25 and M<40.15.
0504...................... Non-traumatic spinal cord 1.7058 1.3695 1.2541 1.1359 17 15 15 14
injury M>29.25 and M<31.25.
0505...................... Non-traumatic spinal cord 1.9486 1.5644 1.4326 1.2976 20 17 17 16
injury M>23.75 and M<29.25.
[[Page 26316]]
0506...................... Non-traumatic spinal cord 2.7276 2.1898 2.0054 1.8164 26 25 23 21
injury M<23.75.
0601...................... Neurological M>47.75........ 1.0352 0.8161 0.7540 0.6868 9 10 9 9
0602...................... Neurological M>37.35 and 1.3349 1.0522 0.9722 0.8856 12 12 11 11
M<47.75.
0603...................... Neurological M>25.85 and 1.6799 1.3242 1.2235 1.1146 15 15 13 13
M<37.35.
0604...................... Neurological M<25.85........ 2.2001 1.7343 1.6023 1.4597 21 19 17 17
0701...................... Fracture of lower extremity 0.9713 0.8055 0.7715 0.7028 10 9 10 9
M>42.15.
0702...................... Fracture of lower extremity 1.2457 1.0330 0.9894 0.9013 13 12 12 11
M>34.15 and M<42.15.
0703...................... Fracture of lower extremity 1.5091 1.2514 1.1986 1.0918 15 15 14 13
M>28.15 and M<34.15.
0704...................... Fracture of lower extremity 1.9413 1.6099 1.5419 1.4045 18 18 17 17
M<28.15.
0801...................... Replacement of lower 0.7445 0.6092 0.5625 0.5185 8 8 7 7
extremity joint M>49.55.
0802...................... Replacement of lower 0.9928 0.8124 0.7502 0.6915 10 10 9 9
extremity joint M>37.05 and
M<49.55.
0803...................... Replacement of lower 1.3412 1.0975 1.0134 0.9341 13 13 12 12
extremity joint M>28.65 and
M<37.05 and A>83.5.
0804...................... Replacement of lower 1.1854 0.9700 0.8957 0.8256 12 12 11 10
extremity joint M>28.65 and
M<37.05 and A<83.5.
0805...................... Replacement of lower 1.4747 1.2067 1.1142 1.0271 14 14 13 12
extremity joint M>22.05 and
M<28.65.
0806...................... Replacement of lower 1.7716 1.4496 1.3386 1.2339 16 17 15 14
extremity joint M<22.05.
0901...................... Other orthopedic M>44.75.... 0.9402 0.7560 0.7057 0.6382 10 9 9 8
0902...................... Other orthopedic M>34.35 and 1.2419 0.9985 0.9321 0.8430 12 12 11 10
M<44.75.
0903...................... Other orthopedic M>24.15 and 1.5603 1.2546 1.1711 1.0591 15 14 14 13
M<34.35.
0904...................... Other orthopedic M<24.15.... 1.9832 1.5946 1.4885 1.3462 19 18 17 16
1001...................... Amputation, lower extremity 1.0277 0.9349 0.8076 0.7385 11 12 10 10
M>47.65.
1002...................... Amputation, lower extremity 1.3191 1.1999 1.0365 0.9478 14 14 12 12
M>36.25 and M<47.65.
1003...................... Amputation, lower extremity 1.8856 1.7152 1.4816 1.3549 18 19 17 16
M<36.25.
1101...................... Amputation, non-lower 1.2651 1.0161 1.0058 0.8582 12 13 12 10
extremity M>36.35.
1102...................... Amputation, non-lower 1.8940 1.5211 1.5058 1.2848 17 19 16 15
extremity M<36.35.
1201...................... Osteoarthritis M>37.65...... 1.0766 0.9493 0.8872 0.8243 10 11 11 10
1202...................... Osteoarthritis M>30.75 and 1.2812 1.1296 1.0557 0.9809 11 12 12 12
M<37.65.
1203...................... Osteoarthritis M<30.75...... 1.6274 1.4349 1.3410 1.2459 13 16 15 15
1301...................... Rheumatoid, other arthritis 1.2259 0.9876 0.8693 0.8186 12 12 10 10
M>36.35.
1302...................... Rheumatoid, other arthritis 1.5967 1.2864 1.1323 1.0662 17 14 13 13
M>26.15 and M<36.35.
[[Page 26317]]
1303...................... Rheumatoid, other arthritis 2.0339 1.6386 1.4424 1.3582 18 19 16 15
M<26.15.
1401...................... Cardiac M>48.85............. 0.9056 0.7331 0.6668 0.6050 9 10 8 8
1402...................... Cardiac M>38.55 and M<48.85. 1.1970 0.9689 0.8814 0.7997 12 11 11 10
1403...................... Cardiac M>31.15 and M<38.55. 1.4753 1.1943 1.0863 0.9857 14 13 12 12
1404...................... Cardiac M<31.15............. 1.8546 1.5013 1.3656 1.2391 18 17 15 14
1501...................... Pulmonary M>49.25........... 0.9973 0.8152 0.7533 0.7276 10 10 9 8
1502...................... Pulmonary M>39.05 and 1.2978 1.0608 0.9802 0.9468 13 11 11 10
M<49.25.
1503...................... Pulmonary M>29.15 and 1.5925 1.3017 1.2028 1.1618 15 14 13 13
M<39.05.
1504...................... Pulmonary M<29.15........... 1.9673 1.6081 1.4859 1.4352 21 17 15 15
1601...................... Pain syndrome M>37.15....... 0.9503 0.8819 0.8110 0.7629 10 10 9 10
1602...................... Pain syndrome M>26.75 and 1.2558 1.1654 1.0717 1.0081 13 13 13 12
M<37.15.
1603...................... Pain syndrome M<26.75....... 1.5878 1.4735 1.3549 1.2746 14 17 16 15
1701...................... Major multiple trauma 1.0417 0.9291 0.8579 0.7871 11 11 10 10
without brain or spinal
cord injury M>39.25.
1702...................... Major multiple trauma 1.3092 1.1676 1.0782 0.9892 13 14 13 12
without brain or spinal
cord injury M>31.05 and
M<39.25.
1703...................... Major multiple trauma 1.5348 1.3689 1.2640 1.1597 16 16 15 14
without brain or spinal
cord injury M>25.55 and
M<31.05.
1704...................... Major multiple trauma 1.9831 1.7687 1.6333 1.4984 20 20 18 17
without brain or spinal
cord injury M<25.55.
1801...................... Major multiple trauma with 1.0808 0.9559 0.8116 0.7275 11 12 10 9
brain or spinal cord injury
M>40.85.
1802...................... Major multiple trauma with 1.7023 1.5056 1.2782 1.1459 17 16 15 14
brain or spinal cord injury
M>23.05 and M<40.85.
1803...................... Major multiple trauma with 2.8280 2.5012 2.1235 1.9036 32 28 22 22
brain or spinal cord injury
M<23.05.
1901...................... Guillain Barre M>35.95...... 1.0531 0.9468 0.9297 0.8892 15 10 13 11
1902...................... Guillain Barre M>18.05 and 1.8830 1.6929 1.6623 1.5899 24 19 18 19
M<35.95.
1903...................... Guillain Barre M<18.05...... 3.3756 3.0347 2.9799 2.8501 43 31 36 31
2001...................... Miscellaneous M>49.15....... 0.8847 0.7262 0.6693 0.6110 9 8 8 8
2002...................... Miscellaneous M>38.75 and 1.1882 0.9753 0.8990 0.8206 12 11 11 10
M<49.15.
2003...................... Miscellaneous M>27.85 and 1.5077 1.2376 1.1407 1.0412 15 14 13 12
M<38.75.
2004...................... Miscellaneous M<27.85....... 1.9511 1.6015 1.4761 1.3474 20 18 16 15
2101...................... Burns M>0................... 1.8268 1.7144 1.5550 1.3502 27 18 17 16
5001...................... Short-stay cases, length of .......... .......... .......... 0.1545 .......... .......... .......... 2
stay is 3 days or fewer.
5101...................... Expired, orthopedic, length .......... .......... .......... 0.6809 .......... .......... .......... 7
of stay is 13 days or fewer.
5102...................... Expired, orthopedic, length .......... .......... .......... 1.5543 .......... .......... .......... 16
of stay is 14 days or more.
[[Page 26318]]
5103...................... Expired, not orthopedic, .......... .......... .......... 0.7274 .......... .......... .......... 8
length of stay is 15 days
or fewer.
5104...................... Expired, not orthopedic, .......... .......... .......... 1.9267 .......... .......... .......... 21
length of stay is 16 days
or more.
--------------------------------------------------------------------------------------------------------------------------------------------------------
Generally, updates to the CMG relative weights result in some
increases and some decreases to the CMG relative weight values. Table 2
shows how we estimate that the application of the proposed revisions
for FY 2015 would affect particular CMG relative weight values, which
would affect the overall distribution of payments within CMGs and
tiers. Note that, because we propose to implement the CMG relative
weight revisions in a budget-neutral manner (as described above), total
estimated aggregate payments to IRFs for FY 2015 would not be affected
as a result of the proposed CMG relative weight revisions. However, the
proposed revisions would affect the distribution of payments within
CMGs and tiers.
Table 2--Distributional Effects of the Proposed Changes to the CMG
Relative Weights
(FY 2014 Values Compared with FY 2015 Values)
------------------------------------------------------------------------
Number of Percentage
Percentage change cases of cases
affected affected
------------------------------------------------------------------------
Increased by 15% or more...................... 0 0.0
Increased by between 5% and 15%............... 1,096 0.3
Changed by less than 5%....................... 379,524 99.3
Decreased by between 5% and 15%............... 1,610 0.4
Decreased by 15% or more...................... 24 0.0
------------------------------------------------------------------------
As Table 2 shows, more than 99 percent of all IRF cases are in CMGs
and tiers that we estimate would experience less than a 5 percent
change (either increase or decrease) in the CMG relative weight value
as a result of the proposed revisions for FY 2015. The largest
estimated increase in the proposed CMG relative weight values that
would affect the largest number of IRF discharges is a 1.2 percent
increase in the CMG relative weight value for CMG 0704--Fracture of
lower extremity, with a motor score less than 28.15--in the ``no
comorbidity'' tier. In the FY 2013 claims data, 19,867 IRF discharges
(5.2 percent of all IRF discharges) were classified into this CMG and
tier.
The largest estimated decrease in a CMG relative weight value that
would affect the largest number of IRF cases is a 0.9 percent decrease
in the CMG relative weight for CMG 0604--Neurological, with a motor
score less than 25.85--in the ``no comorbidity'' tier. In the FY 2013
IRF claims data, this change would have affected 8,737 cases (2.3
percent of all IRF cases).
The proposed changes in the average length of stay values for FY
2015, compared with the FY 2014 average length of stay values, are
small and do not show any particular trends in IRF length of stay
patterns.
We invite public comment on our proposed update to the CMG relative
weights and average length of stay values for FY 2015.
IV.. Proposal To Freeze the Facility-Level Adjustment Factors at FY
2014 Levels
A. Background on Facility-Level Adjustments
Section 1886(j)(3)(A)(v) of the Act confers broad authority upon
the Secretary to adjust the per unit payment rate ``by such . . .
factors as the Secretary determines are necessary to properly reflect
variations in necessary costs of treatment among rehabilitation
facilities.'' For example, we adjust the federal prospective payment
amount associated with a CMG to account for facility-level
characteristics such as an IRF's LIP, teaching status, and location in
a rural area, if applicable, as described in Sec. 412.624(e).
In the FY 2010 IRF PPS final rule (74 FR 39762), we updated the
adjustment factors for calculating the rural, LIP, and teaching status
adjustments based on the most recent three consecutive years' worth of
IRF claims data (at that time, FY 2006, FY 2007, and FY 2008) and the
most recent available corresponding IRF cost report data. As discussed
in the FY 2010 IRF PPS proposed rule (74 FR 21060 through 21061), we
observed relatively large year-to-year fluctuations in the underlying
data used to compute the adjustment factors, especially the teaching
status adjustment factor. Therefore, we implemented a 3-year moving
average approach to updating the facility-level adjustment factors in
the FY 2010 IRF PPS final rule (74 FR 39762) to provide greater
stability and predictability of Medicare payments for IRFs.
Each year, we review the major components of the IRF PPS to
maintain and enhance the accuracy of the payment system. For FY 2010,
we implemented a change to our methodology that was designed to
decrease the IRF PPS volatility by using a 3-year moving average to
calculate the facility-level adjustment factors. For FY 2011, we issued
a notice to update the payment rates, which did not include any policy
changes or changes to the IRF facility-level adjustments. As we found
that the implementation of the 3-year moving average did not fully
address year-to-year fluctuations, in the FY 2012 IRF PPS proposed rule
(76 FR 24214, 24225 through 24226), we analyzed the effects of having
used a weighting methodology. The methodology assigned greater weight
to some facilities than to others in the regression analysis used to
estimate the facility-level adjustment factors. As we found that this
weighting methodology inappropriately exaggerated the cost differences
among different types of IRF facilities, we proposed to remove the
weighting factor from our analysis and update the IRF facility-level
adjustment factors for FY 2012 using an unweighted regression analysis.
However, after carefully considering all of the comments that we
received on the proposed FY 2012 updates to the facility-level
adjustment factors, we decided to hold the facility-level adjustment
factors at FY 2011 levels for FY 2012 to conduct further research on
the underlying data and the best methodology for calculating the
facility-level adjustment factors. We based this decision, in part, on
comments we received about the financial hardships
[[Page 26319]]
that the proposed updates would create for facilities with teaching
programs and a higher disproportionate share of low-income patients.
B. Proposal To Freeze the Facility-Level Adjustment Factors at FY 2014
Levels
Since the FY 2012 final rule (76 FR 47836), we have conducted
further research into the best methodology to use to estimate the IRF
facility-level adjustment factors, to ensure that the adjustment
factors reflect as accurately as possible the costs of providing IRF
care across the full spectrum of IRF providers. Our recent research
efforts reflect the significant differences that exist between the cost
structures of freestanding IRFs and the cost structures of IRF units of
acute care hospitals (and critical access hospitals, otherwise known as
``CAHs''). We have found that these cost structure differences
substantially influence the estimates of the adjustment factors.
Therefore, we believe that it is important to control for these cost
structure differences between hospital-based and freestanding IRFs in
our regression analysis, so that these differences do not
inappropriately influence the adjustment factor estimates. In
Medicare's payment system for the treatment of end-stage renal disease
(ESRD), we already control for the cost structure differences between
hospital-based and freestanding facilities in the regression analyses
that are used to set payment rates. Also, we received comments from an
IRF industry association on the FY 2012 IRF PPS proposed rule
suggesting that the addition of this particular control variable to the
model could improve the methodology for estimating the IRF facility-
level adjustment factors.
Thus, in the FY 2014 IRF PPS proposed rule, we proposed to add an
indicator variable to our 3-year moving average methodology for
updating the IRF facility-level adjustments that would have an assigned
value of ``1'' if the facility is a freestanding IRF hospital or would
have an assigned value of ``0'' if the facility is an IRF unit of an
acute care hospital (or CAH). Adding this variable to the regression
analysis enables us to control for the differences in costs that are
primarily due to the differences in cost structures between
freestanding and hospital-based IRFs, so that those differences do not
become inappropriately intertwined with our estimates of the
differences in costs between rural and urban facilities, high-LIP
percentage and low-LIP percentage facilities, and teaching and non-
teaching facilities. Further, by including this variable in the
regression analysis, we greatly improve our ability to predict an IRF's
average cost per case (that is, the R-squared of the regression model
increases from about 11 percent to about 41 percent). In this way, it
enhances the precision with which we can estimate the IRF facility-
level adjustments.
In the FY 2014 IRF PPS final rule (78 FR 47860), we finalized our
decision to add an indicator variable for a facility's freestanding/
hospital-based status to the payment regression, and, with that change,
to update the IRF facility-level adjustment factors for FY 2014 using
the same methodology, with the exception of adding the indicator
variable, that we used in updating the FY 2010 IRF facility-level
adjustment factors, including the 3-year moving average approach. Thus,
in the FY 2014 IRF PPS final rule, we finalized a rural adjustment of
14.9 percent, a LIP adjustment factor of 0.3177, and a teaching status
adjustment factor of 1.0163 for FY 2014.
Based on the substantive changes to the facility-level adjustment
factors that were adopted in the FY 2014 final rule, we propose to
freeze the facility-level adjustment factors for FY 2015 and all
subsequent years at the FY 2014 levels while we continue to monitor the
most current IRF claims data available and evaluate the effects of the
FY 2014 changes. Additionally, we want to allow providers time to
acclimate to the FY 2014 changes. At such future time as our data
analysis may indicate the need for further updates to the facility-
level adjustment factors, we would propose to update the adjustment
factors through notice and comment rulemaking.
We invite public comment on our proposal to freeze the facility-
level adjustment factors at FY 2014 levels for FY 2015 and all
subsequent years (unless and until we propose to update them again
through future notice and comment rulemaking).
V. Proposed FY 2015 IRF PPS Federal Prospective Payment Rates
A. Proposed Market Basket Increase Factor, Productivity Adjustment, and
Other Adjustment for FY 2015
Section 1886(j)(3)(C) of the Act requires the Secretary to
establish an increase factor that reflects changes over time in the
prices of an appropriate mix of goods and services included in the
covered IRF services, which is referred to as a market basket index.
According to section 1886(j)(3)(A)(i) of the Act, the increase factor
shall be used to update the IRF federal prospective payment rates for
each FY. Sections 1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(iv) of the
Act required the application of a 0.2 percentage point reduction to the
market basket increase factor for FY 2015. In addition, section
1886(j)(3)(C)(ii)(I) of the Act requires the application of a
productivity adjustment, as described below. Thus, in this proposed
rule, we propose to update the IRF PPS payments for FY 2015 by a market
basket increase factor based upon the most current data available, with
a productivity adjustment as required by section 1886(j)(3)(C)(ii)(I)
of the Act as described below and a 0.2 percentage point reduction as
required by sections 1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(iv) of the
Act.
For this proposed rule, we propose to use the same methodology
described in the FY 2012 IRF PPS final rule (76 FR 47836 at 47848
through 47863) to compute the FY 2015 market basket increase factor and
labor-related share. In that final rule, we described the market basket
(referred to as the RPL market basket) as reflecting a FY 2008 base
year. Based on IHS Global Insight's first quarter 2014 forecast, the
most recent estimate of the 2008-based RPL market basket increase
factor for FY 2015 is 2.7 percent. IHS Global Insight (IGI) is an
economic and financial forecasting firm that contracts with CMS to
forecast the components of providers' market baskets.
In accordance with section 1886(j)(3)(C)(ii)(I) of the Act, and
using the methodology described in the FY 2012 IRF PPS final rule (76
FR 47836, 47858 through 47859), we propose to apply a productivity
adjustment to the FY 2015 RPL market basket increase factor. The
statute defines the productivity adjustment to be equal to the 10-year
moving average of changes in annual economy-wide private nonfarm
business multifactor productivity (MFP) (as projected by the Secretary
for the 10-year period ending with the applicable FY cost reporting
period, or other annual period) (the ``MFP adjustment''). The Bureau of
Labor Statistics (BLS) is the agency that publishes the official
measure of private nonfarm business MFP. We refer readers to the BLS
Web site at https://www.bls.gov/mfp to obtain the historical BLS-
published MFP data. The projection of MFP is currently produced by IGI,
using the methodology described in the FY 2012 IRF PPS final rule (76
FR 47836, 47859). The most recent estimate of the MFP adjustment for FY
2015 (the 10-year moving average of MFP for the period ending FY 2015)
is 0.4 percent, which was calculated using the methodology described in
the FY 2012 IRF PPS final rule (76 FR 47836, 47858 through 47859) and
is based on IGI's first quarter 2014 forecast.
[[Page 26320]]
Thus, in accordance with section 1886(j)(3)(C) of the Act, we
propose to base the FY 2015 market basket update, which is used to
determine the applicable percentage increase for the IRF payments, on
the most recent estimate of the FY 2008-based RPL market basket
(currently estimated to be 2.7 percent based on IGI's first quarter
2014 forecast). We propose to then reduce this percentage increase by
the current estimate of the MFP adjustment for FY 2015 of 0.4
percentage point (the 10-year moving average of MFP for the period
ending FY 2015 based on IGI's first quarter 2014 forecast), which was
calculated as described in the FY 2012 IRF PPS final rule (76 FR 47836,
47859). Following application of the MFP, we propose to further reduce
the applicable percentage increase by 0.2 percentage point, as required
by sections 1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(iv) of the Act.
Therefore, the current estimate of the proposed FY 2015 IRF update is
2.1 percent (2.7 percent market basket update, less 0.4 percentage
point MFP adjustment, less 0.2 percentage point legislative
adjustment). Furthermore, we also propose that if more recent data are
subsequently available (for example, a more recent estimate of the
market basket and MFP adjustment), we would use such data, if
appropriate, to determine the FY 2015 market basket update and MFP
adjustment in the final rule.
We invite public comment on these proposals.
B. Development of an IRF-Specific Market Basket
In the FY 2010 IRF PPS proposed rule (74 FR 21062), we expressed
our interest in exploring the possibility of creating a stand-alone, or
IRF-specific, market basket that reflects the cost structures of only
IRF providers. We noted that, of the available options, one would be to
join the Medicare cost report data from freestanding IRF providers with
data from hospital-based IRF providers. We indicated that an
examination of the Medicare cost report data comparing freestanding and
hospital-based IRFs revealed considerable differences between the two
for cost levels and cost structures. At that time, we stated that we
were unable to fully explain the differences in costs between
freestanding and hospital-based IRFs and solicited comments regarding
our findings. We summarized and responded to several public comments we
received on the potential creation of a stand-alone IRF market basket
in the FY 2010 IRF final rule (74 FR 39776 through 39778). At that
time, we stated the need for further research regarding the differences
in cost levels and cost structures between freestanding IRFs and
hospital-based IRFs.
Since the FY 2010 IRF PPS final rule was published, we have made
significant progress on the development of a stand-alone, or IRF-
specific, market basket. Our research has focused on addressing several
concerns regarding the use of the hospital-based IRF Medicare cost
report data in the calculation of the major market basket cost weights.
As discussed above, one concern is the cost level differences for
hospital-based IRFs relative to freestanding IRFs that were not readily
explained by the specific characteristics of the individual providers
and the patients that they serve (for example, characteristics related
to case mix, urban/rural status, teaching status). Furthermore, we are
concerned about the variability in the cost report data among these
hospital-based IRF providers and the potential impact on the market
basket cost weights. These concerns led us to consider whether it is
appropriate to use the universe of IRF providers to derive an IRF-
specific market basket.
Recently, we have investigated the use of regression analysis to
evaluate the effect of including hospital-based IRF Medicare cost
report data in the calculation of cost distributions. We created
preliminary regression models to try to explain variations in costs per
discharge across both freestanding and hospital-based IRFs. These
models were intended to capture the effects of facility-level and
patient-level characteristics (for example, wage index, urban/rural
status, ownership status, length-of-stay, occupancy rate, case mix, and
Medicare utilization) on IRF costs per discharge. Using the results
from the preliminary regression analyses, we identified smaller subsets
of hospital-based and freestanding IRF providers where the predicted
costs per discharge using the regression model closely matched the
actual costs per discharge for each IRF. We then derived different sets
of cost distributions using (1) these subsets of IRF providers and (2)
the entire universe of freestanding and hospital-based IRF providers
(including those IRFs for which the variability in cost levels remains
unexplained). After comparing these sets of cost distributions, the
differences were not substantial enough for us to conclude that the
inclusion of those IRF providers with unexplained variability in costs
in the calculation of the cost distributions is a major cause of
concern.
Another concern with incorporating the hospital-based IRF data in
the derivation of an IRF-specific market basket is the complexity of
the Medicare cost report data for these providers. The freestanding
IRFs independently submit a Medicare cost report for their facilities,
making it relatively straightforward to obtain the cost categories
necessary to determine the major market basket cost weights. However,
cost report data submitted for a hospital-based IRF are embedded in the
Medicare cost report submitted for the entire hospital facility in
which the IRF is located. Therefore, adjustments would have to be made
to obtain cost weights that represent just the hospital-based IRF (as
opposed to the hospital as a whole). For example, ancillary costs for
services such as therapy, radiology, and laboratory services for the
entire hospital would need to be appropriately converted to a value
that only represents the hospital-based IRF unit's costs. The
preliminary method we have developed to allocate these costs is complex
and still needs to be fully evaluated before we are ready to propose an
IRF-specific market basket that would reflect both hospital-based and
freestanding IRF data.
In our ongoing research, we are also evaluating the differences in
salary costs as a percent of total costs for both hospital-based and
freestanding IRFs. Salary costs are historically the largest component
of the market baskets. Based on our review of the data reported on the
applicable Medicare cost reports, our initial findings (using the
preliminary allocation method as discussed above) have shown that the
hospital-based IRF salary costs as a percent of total costs tend to be
lower than those of freestanding IRFs. We are still evaluating the
method for deriving salary costs as a percent of total costs, and one
of the main issues is to further investigate the percentage of
ancillary costs that should be appropriately allocated to the IRF
salary costs for the hospital-based IRF, as discussed above.
Also, as stated in the FY 2012 IRF PPS final rule (76 FR 47836,
47851), effective for cost reports beginning on or after May 1, 2010,
we finalized a revised Hospital and Hospital Health Care Complex Cost
Report, Form CMS 2552-10 (74 FR 31738). The report is available for
download from the CMS Web site at https://www.cms.gov/Research-Statistics-Data-and-Systems/Files-for-Order/CostReports/Hospital-2010-form.html. The revised Hospital and Hospital Health Care Complex Cost
Report includes a new worksheet (Worksheet S-3, part V) that identifies
the contract labor costs and benefit costs for the
[[Page 26321]]
hospital/hospital care complex, is applicable to sub-providers and
units. As we gain access to the data reported by IRFs on this new form,
we plan to evaluate the appropriateness of using these data to derive
benefits and contract labor cost weights for the market basket instead
of the data and methods currently used for the RPL market basket. This
includes comparing these data with costs submitted on the other forms
composing the Medicare cost report.
For the reasons discussed above, while we believe we have made
significant progress on the development of an IRF-specific market
basket, we believe that further research is required at this time. As a
result, we are not proposing an IRF-specific market basket for FY 2015.
We plan to complete our research during the remainder of this year and,
provided that we are prepared to draw conclusions from our research,
may propose an IRF-specific market basket for the FY 2016 rulemaking
cycle. We welcome public comments on the initial findings discussed
above.
C. Secretary's Proposed Recommendation
For FY 2015, the Medicare Payment Advisory Commission (MedPAC)
recommends that a 0 percent update be applied to IRF PPS payment rates.
As discussed above, and in accordance with sections 1886(j)(3)(C) and
1886(j)(3)(D) of the Act, the Secretary proposes to update IRF PPS
payment rates for FY 2015 by an adjusted market basket increase factor
of 2.1 percent, as section 1886(j)(3)(C) of the Act does not provide
the Secretary with the authority to apply a different update factor to
IRF PPS payment rates for FY 2015.
We invite public comment on the Secretary's proposed
recommendation.
D. Proposed Labor-Related Share for FY 2015
We propose to update the labor-related share for FY 2015 using the
methodology described in the FY 2012 IRF PPS final rule (76 FR 47836,
47860 through 47863). Using this method and IGI's first quarter 2014
forecast of the 2008-based RPL market basket, the proposed IRF labor-
related share for FY 2015 is the sum of the FY 2015 relative importance
of each labor-related cost category. This figure reflects the different
rates of price change for these cost categories between the base year
(FY 2008) and FY 2015. As shown in Table 3, the proposed FY 2015 labor-
related share is 69.538 percent. We propose that if a more recent
estimate of the FY 2015 labor-related share is subsequently available,
we would use such data, if appropriate, to determine the FY 2015 labor-
related share in the final rule.
Table 3--Proposed FY 2015 IRF RPL Labor-Related Share Relative
Importance
------------------------------------------------------------------------
Proposed FY
2015
relative
importance
labor-
related
share
------------------------------------------------------------------------
Wages and Salaries......................................... 48.409
Employee Benefits.......................................... 13.016
Professional Fees: Labor-Related........................... 2.065
Administrative and Business................................ 0.417
Support Services...........................................
All Other: Labor-Related Services.......................... 2.070
------------
Subtotal............................................... 65.977
------------
Labor-Related Portion of Capital Costs (.46)............... 3.561
------------
Total Labor-Related Share.......................... 69.538
------------------------------------------------------------------------
Source: IHS Global Insight, Inc. First quarter 2014 forecast; Historical
Data through 4th quarter 2013.
We invite public comment on the proposed IRF labor-related share
for FY 2015.
E. Proposed Wage Adjustment
Section 1886(j)(6) of the Act requires the Secretary to adjust the
proportion of rehabilitation 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 hospital wage level in the geographic area of the
rehabilitation facility compared to the national average wage level for
those facilities. The Secretary is required to update the IRF PPS wage
index on the basis of information available to the Secretary on the
wages and wage-related costs to furnish rehabilitation services. Any
adjustment or updates made under section 1886(j)(6) of the Act for a FY
are made in a budget-neutral manner.
For FY 2015, we propose to maintain the policies and methodologies
described in the FY 2012 IRF PPS final rule (76 FR 47836, at 47863
through 47865) related to the labor market area definitions and the
wage index methodology for areas with wage data. Thus, we propose to
use the CBSA labor market area definitions and the FY 2014 pre-
reclassification and pre-floor hospital wage index data. In accordance
with section 1886(d)(3)(E) of the Act, the FY 2014 pre-reclassification
and pre-floor hospital wage index is based on data submitted for
hospital cost reporting periods beginning on or after October 1, 2009,
and before October 1, 2010 (that is, FY 2010 cost report data).
The labor market designations made by the OMB include some
geographic areas where there are no hospitals and, thus, no hospital
wage index data on which to base the calculation of the IRF PPS wage
index. We propose to continue to use the same methodology discussed in
the FY 2008 IRF PPS final rule (72 FR 44299) to address those
geographic areas where there are no hospitals and, thus, no hospital
wage index data on which to base the calculation for the FY 2015 IRF
PPS wage index.
In accordance with our established methodology, we have
historically adopted any CBSA changes that are published in the OMB
bulletin that corresponds with the hospital wage data used to determine
the IRF PPS wage index. The OMB bulletins are available at https://www.whitehouse.gov/omb/bulletins/.
In keeping with the established IRF PPS wage index policy, we
propose to use the prior year's (FY 2014) pre-floor, pre-reclassified
hospital wage index data to derive the FY 2015 applicable IRF PPS wage
index. We anticipate using the FY 2014 pre-floor, pre-reclassified
hospital wage index data to derive the applicable IRF PPS wage index
for FY 2015. We note, however, that the FY 2014 pre-floor, pre-
reclassified hospital wage index does not use OMB's new 2010 Census-
based area delineations, which were outlined in the February 28, 2013,
OMB Bulletin 13-01, as we did not receive these changes in time to
incorporate them into the FY 2014 hospital wage index. We therefore
intend to consider the incorporation of these CBSA changes during the
development of the FY 2015 hospital wage index. Assuming that we would
continue to follow our established methodology for the IRF PPS wage
index, this means that the 2010 Census-based CBSA changes would not be
considered for inclusion in the IRF PPS wage index until FY 2016.
To calculate the wage-adjusted facility payment for the payment
rates set forth in this proposed rule, we multiply the unadjusted
Federal payment rate for IRFs by the FY 2015 labor-related share based
on the FY 2008-based RPL market basket (69.538 percent) to determine
the labor-related portion of the standard payment amount. We then
multiply the labor-related portion by the applicable IRF wage index
from the tables in the addendum to this proposed rule. These
[[Page 26322]]
tables are available through the Internet on the CMS Web site at https://www.cms.hhs.gov/Medicare/Medicare-Fee-for-Service-Payment/InpatientRehabFacPPS/. Table A is for urban areas, and Table B is for
rural areas.
Adjustments or updates to the IRF wage index made under section
1886(j)(6) of the Act must be made in a budget-neutral manner. We
calculate a proposed budget-neutral wage adjustment factor as
established in the FY 2004 IRF PPS final rule (68 FR 45689), codified
at Sec. 412.624(e)(1), as described in the steps below. We use the
listed steps to ensure that the proposed FY 2015 IRF standard payment
conversion factor reflects the update to the wage indexes (based on the
FY 2010 hospital cost report data) and the proposed labor-related share
in a budget-neutral manner:
Step 1. Determine the total amount of the estimated FY 2014 IRF PPS
rates, using the FY 2014 standard payment conversion factor and the
labor-related share and the wage indexes from FY 2014 (as published in
the FY 2014 IRF PPS final rule (78 FR 47860)).
Step 2. Calculate the total amount of estimated IRF PPS payments
using the FY 2015 standard payment conversion factor and the proposed
FY 2015 labor-related share and CBSA urban and rural wage indexes.
Step 3. Divide the amount calculated in step 1 by the amount
calculated in step 2. The resulting quotient is the FY 2015 budget-
neutral wage adjustment factor of 1.0018.
Step 4. Apply the FY 2015 budget-neutral wage adjustment factor
from step 3 to the FY 2014 IRF PPS standard payment conversion factor
after the application of the adjusted market basket update to determine
the FY 2015 standard payment conversion factor.
We discuss the calculation of the proposed standard payment
conversion factor for FY 2015 in section V.F. of this proposed rule.
We invite public comment on the proposed IRF wage adjustment for FY
2015.
F. Description of the Proposed IRF Standard Conversion Factor and
Payment Rates for FY 2015
To calculate the proposed standard payment conversion factor for FY
2015, as illustrated in Table 4, we begin by applying the proposed
adjusted market basket increase factor for FY 2015 that was adjusted in
accordance with sections 1886(j)(3)(C) and (D) of the Act, to the
standard payment conversion factor for FY 2014 ($14,846). Applying the
proposed 2.1 percent adjusted market basket increase factor for FY 2015
to the standard payment conversion factor for FY 2014 of $14,846 yields
a standard payment amount of $15,158. Then, we apply the proposed
budget neutrality factor for the FY 2015 wage index and labor-related
share of 1.0018, which results in a standard payment amount of $15,185.
We next apply the proposed budget neutrality factors for the revised
CMG relative weights of 1.0000, which results in the proposed standard
payment conversion factor of $15,185 for FY 2015.
Table 4--Calculations to Determine the Proposed FY 2015 Standard Payment
Conversion Factor
------------------------------------------------------------------------
Explanation for adjustment Calculations
------------------------------------------------------------------------
Standard Payment Conversion Factor for FY 2014.......... $14,846
Market Basket Increase Factor for FY 2015 (2.7 percent), x 1.0210
reduced by a 0.4 percentage point reduction for the
productivity adjustment as required by section
1886(j)(3)(C)(ii)(I) of the Act, and reduced by 0.2
percentage points in accordance with paragraphs
1886(j)(3)(C) and (D) of the Act.......................
Budget Neutrality Factor for the Wage Index and Labor- x 1.0018
Related Share..........................................
Budget Neutrality Factor for the Revisions to the CMG x 1.0000
Relative Weights.......................................
Proposed FY 2015 Standard Payment Conversion Factor..... = $15,185
------------------------------------------------------------------------
We invite public comment on the proposed FY 2015 standard payment
conversion factor.
After the application of the proposed CMG relative weights
described in Section III of this proposed rule, to the proposed FY 2015
standard payment conversion factor ($15,185), the resulting proposed
unadjusted IRF prospective payment rates for FY 2015 are shown in Table
5.
Table 5--Proposed FY 2015 Payment Rates
----------------------------------------------------------------------------------------------------------------
Payment rate Payment rate Payment rate Payment rate no
CMG Tier 1 Tier 2 Tier 3 comorbidity
----------------------------------------------------------------------------------------------------------------
0101.................................... $11,935.41 $10,892.20 $9,906.69 $9,498.22
0102.................................... 14,935.97 13,631.57 12,398.55 11,888.34
0103.................................... 17,682.93 16,137.10 14,677.82 14,073.46
0104.................................... 18,387.52 16,780.94 15,263.96 14,635.30
0105.................................... 21,492.85 19,614.46 17,842.38 17,107.42
0106.................................... 24,476.70 22,337.14 20,319.05 19,480.84
0107.................................... 27,367.93 24,976.29 22,718.28 21,782.88
0108.................................... 34,090.33 31,111.03 28,298.77 27,132.56
0109.................................... 31,197.58 28,470.36 25,898.02 24,830.51
0110.................................... 40,837.02 37,267.03 33,898.99 32,501.97
0201.................................... 12,377.29 10,155.73 9,111.00 8,676.71
0202.................................... 15,995.88 13,125.91 11,775.97 11,214.12
0203.................................... 18,375.37 15,078.71 13,528.32 12,882.95
0204.................................... 20,188.46 16,565.32 14,863.08 14,153.94
0205.................................... 24,056.08 19,738.98 17,710.27 16,864.46
0206.................................... 29,121.79 23,896.63 21,439.70 20,416.23
0207.................................... 38,650.38 31,713.87 28,453.65 27,096.11
0301.................................... 16,828.02 14,178.23 12,846.51 11,850.37
0302.................................... 21,040.34 17,726.97 16,062.69 14,816.00
0303.................................... 24,959.58 21,029.71 19,054.14 17,576.64
0304.................................... 32,805.67 27,639.74 25,043.10 23,100.94
0401.................................... 15,645.11 13,368.87 12,318.07 11,012.16
0402.................................... 21,333.41 18,229.59 16,796.13 15,016.45
0403.................................... 35,103.16 29,996.45 27,636.70 24,707.51
[[Page 26323]]
0404.................................... 61,763.47 52,776.99 48,625.41 43,471.62
0405.................................... 49,773.39 42,531.67 39,187.93 35,033.31
0501.................................... 12,819.18 10,290.87 9,423.81 8,535.49
0502.................................... 17,716.34 14,223.79 13,025.69 11,797.23
0503.................................... 21,965.10 17,634.34 16,149.25 14,626.19
0504.................................... 25,902.57 20,795.86 19,043.51 17,248.64
0505.................................... 29,589.49 23,755.41 21,754.03 19,704.06
0506.................................... 41,418.61 33,252.11 30,452.00 27,582.03
0601.................................... 15,719.51 12,392.48 11,449.49 10,429.06
0602.................................... 20,270.46 15,977.66 14,762.86 13,447.84
0603.................................... 25,509.28 20,107.98 18,578.85 16,925.20
0604.................................... 33,408.52 26,335.35 24,330.93 22,165.54
0701.................................... 14,749.19 12,231.52 11,715.23 10,672.02
0702.................................... 18,915.95 15,686.11 15,024.04 13,686.24
0703.................................... 22,915.68 19,002.51 18,200.74 16,578.98
0704.................................... 29,478.64 24,446.33 23,413.75 21,327.33
0801.................................... 11,305.23 9,250.70 8,541.56 7,873.42
0802.................................... 15,075.67 12,336.29 11,391.79 10,500.43
0803.................................... 20,366.12 16,665.54 15,388.48 14,184.31
0804.................................... 18,000.30 14,729.45 13,601.20 12,536.74
0805.................................... 22,393.32 18,323.74 16,919.13 15,596.51
0806.................................... 26,901.75 22,012.18 20,326.64 18,736.77
0901.................................... 14,276.94 11,479.86 10,716.05 9,691.07
0902.................................... 18,858.25 15,162.22 14,153.94 12,800.96
0903.................................... 23,693.16 19,051.10 17,783.15 16,082.43
0904.................................... 30,114.89 24,214.00 22,602.87 20,442.05
1001.................................... 15,605.62 14,196.46 12,263.41 11,214.12
1002.................................... 20,030.53 18,220.48 15,739.25 14,392.34
1003.................................... 28,632.84 26,045.31 22,498.10 20,574.16
1101.................................... 19,210.54 15,429.48 15,273.07 13,031.77
1102.................................... 28,760.39 23,097.90 22,865.57 19,509.69
1201.................................... 16,348.17 14,415.12 13,472.13 12,517.00
1202.................................... 19,455.02 17,152.98 16,030.80 14,894.97
1203.................................... 24,712.07 21,788.96 20,363.09 18,918.99
1301.................................... 18,615.29 14,996.71 13,200.32 12,430.44
1302.................................... 24,245.89 19,533.98 17,193.98 16,190.25
1303.................................... 30,884.77 24,882.14 21,902.84 20,624.27
1401.................................... 13,751.54 11,132.12 10,125.36 9,186.93
1402.................................... 18,176.45 14,712.75 13,384.06 12,143.44
1403.................................... 22,402.43 18,135.45 16,495.47 14,967.85
1404.................................... 28,162.10 22,797.24 20,736.64 18,815.73
1501.................................... 15,144.00 12,378.81 11,438.86 11,048.61
1502.................................... 19,707.09 16,108.25 14,884.34 14,377.16
1503.................................... 24,182.11 19,766.31 18,264.52 17,641.93
1504.................................... 29,873.45 24,419.00 22,563.39 21,793.51
1601.................................... 14,430.31 13,391.65 12,315.04 11,584.64
1602.................................... 19,069.32 17,696.60 16,273.76 15,308.00
1603.................................... 24,110.74 22,375.10 20,574.16 19,354.80
1701.................................... 15,818.21 14,108.38 13,027.21 11,952.11
1702.................................... 19,880.20 17,730.01 16,372.47 15,021.00
1703.................................... 23,305.94 20,786.75 19,193.84 17,610.04
1704.................................... 30,113.37 26,857.71 24,801.66 22,753.20
1801.................................... 16,411.95 14,515.34 12,324.15 11,047.09
1802.................................... 25,849.43 22,862.54 19,409.47 17,400.49
1803.................................... 42,943.18 37,980.72 32,245.35 28,906.17
1901.................................... 15,991.32 14,377.16 14,117.49 13,502.50
1902.................................... 28,593.36 25,706.69 25,242.03 24,142.63
1903.................................... 51,258.49 46,081.92 45,249.78 43,278.77
2001.................................... 13,434.17 11,027.35 10,163.32 9,278.04
2002.................................... 18,042.82 14,809.93 13,651.32 12,460.81
2003.................................... 22,894.42 18,792.96 17,321.53 15,810.62
2004.................................... 29,627.45 24,318.78 22,414.58 20,460.27
2101.................................... 27,739.96 26,033.16 23,612.68 20,502.79
5001.................................... ................ ................ ................ 2,346.08
5101.................................... ................ ................ ................ 10,339.47
5102.................................... ................ ................ ................ 23,602.05
5103.................................... ................ ................ ................ 11,045.57
5104.................................... ................ ................ ................ 29,256.94
----------------------------------------------------------------------------------------------------------------
[[Page 26324]]
G. Example of the Methodology for Adjusting the Proposed Federal
Prospective Payment Rates
Table 6 illustrates the methodology for adjusting the proposed
federal prospective payments (as described in sections V.A. through
V.F. of this proposed rule). The following examples are based on two
hypothetical Medicare beneficiaries, both classified into CMG 0110
(without comorbidities). The proposed unadjusted federal prospective
payment rate for CMG 0110 (without comorbidities) appears in Table 6.
Example: One beneficiary is in Facility A, an IRF located in rural
Spencer County, Indiana, and another beneficiary is in Facility B, an
IRF located in urban Harrison County, Indiana. Facility A, a rural non-
teaching hospital has a Disproportionate Share Hospital (DSH)
percentage of 5 percent (which would result in a LIP adjustment of
1.0156), a wage index of 0.8513, and a rural adjustment of 14.9
percent. Facility B, an urban teaching hospital, has a DSH percentage
of 15 percent (which would result in a LIP adjustment of 1.0454
percent), a wage index of 0.8852, and a teaching status adjustment of
0.0784.
To calculate each IRF's labor and non-labor portion of the Federal
prospective payment, we begin by taking the unadjusted Federal
prospective payment rate for CMG 0110 (without comorbidities) from
Table 5. Then, we multiply the proposed labor-related share for FY 2015
(69.538 percent) described in section V.D. of this proposed rule by the
proposed unadjusted federal prospective payment rate. To determine the
non-labor portion of the proposed federal prospective payment rate, we
subtract the labor portion of the proposed federal payment from the
proposed unadjusted federal prospective payment.
To compute the proposed wage-adjusted federal prospective payment,
we multiply the labor portion of the proposed federal payment by the
appropriate wage index found in tables A and B. These tables are
available through the Internet on the CMS Web site at https://www.cms.hhs.gov/Medicare/Medicare-Fee-for-Service-Payment/InpatientRehabFacPPS/. The resulting figure is the wage-adjusted labor
amount. Next, we compute the proposed wage-adjusted federal payment by
adding the wage-adjusted labor amount to the non-labor portion.
Adjusting the proposed wage-adjusted federal payment by the
facility-level adjustments involves several steps. First, we take the
wage-adjusted Federal prospective payment and multiply it by the
appropriate rural and LIP adjustments (if applicable). Second, to
determine the appropriate amount of additional payment for the teaching
status adjustment (if applicable), we multiply the teaching status
adjustment (0.0784, in this example) by the wage-adjusted and rural-
adjusted amount (if applicable). Finally, we add the additional
teaching status payments (if applicable) to the wage, rural, and LIP-
adjusted federal prospective payment rates. Table 6 illustrates the
components of the adjusted payment calculation.
Table 6--Example of Computing the IRF FY 2015 Federal Prospective
Payment
------------------------------------------------------------------------
------------------------------------------------------------------------
Step Rural facility A
(Spencer Co., IN)
Urban facility B
(Harrison Co., IN)
------------------------------------------------------------------------
1............ Unadjusted ... $32,501.97 ... $32,501.97
Federal
Prospective
Payment.
2............ Labor Share.... x 0.69538 x 0.69538
3............ Labor Portion = $22,601.22 = $22,601.22
of Federal
Payment.
4............ CBSA-Based Wage x 0.8513 x 0.8852
Index (shown
in the
Addendum,
Tables 1 and
2).
5............ Wage-Adjusted = $19,240.42 = $20,006.60
Amount.
6............ Non-Labor + $9,900.75 + $9,900.75
Amount.
7............ Wage-Adjusted = $29,141.17 = $29,907.35
Federal
Payment.
8............ Rural x 1.149 x 1.000
Adjustment.
9............ Wage- and Rural- = $33,483.20 = $29,907.35
Adjusted
Federal
Payment.
10........... LIP Adjustment. x 1.0156 x 1.0454
11........... FY 2015 Wage-, = $34,005.54 = $31,265.14
Rural- and LIP-
Adjusted
Federal
Prospective
Payment Rate.
12........... FY 2015 Wage- ... $33,483.20 ... $29,907.35
and Rural-
Adjusted
Federal
Prospective
Payment.
13........... Teaching Status x 0 x 0.0784
Adjustment.
14........... Teaching Status = $0.00 = $2,344.74
Adjustment
Amount.
15........... FY 2015 Wage-, + $34,005.54 + $31,265.14
Rural-, and
LIP-Adjusted
Federal
Prospective
Payment Rate.
16........... Total FY 2015 = $34,005.54 = $33,609.88
Adjusted
Federal
Prospective
Payment.
------------------------------------------------------------------------
Thus, the proposed adjusted payment for Facility A would be
$34,005.54, and the proposed adjusted payment for Facility B would be
$33,609.88.
VI. Proposed Update to Payments for High-Cost Outliers under the IRF
PPS
A. Proposed Update to the Outlier Threshold Amount for FY 2015
Section 1886(j)(4) of the Act provides the Secretary with the
authority to make payments in addition to the basic IRF prospective
payments for cases incurring extraordinarily high costs. A case
qualifies for an outlier payment if the estimated cost of the case
exceeds the adjusted outlier threshold. We calculate the adjusted
outlier threshold by adding the IRF PPS payment for the case (that is,
the CMG payment adjusted by all of the relevant facility-level
adjustments) and the adjusted threshold amount (also adjusted by all of
the relevant facility-level adjustments). Then, we calculate the
estimated cost of a case by multiplying the IRF's overall CCR by the
Medicare allowable covered charge. If the estimated cost of the case is
higher than the adjusted outlier threshold, we make an outlier payment
for the case equal to 80 percent of the difference between the
estimated cost of the case and the outlier threshold.
In the FY 2002 IRF PPS final rule (66 FR 41362 through 41363), we
discussed our rationale for setting the outlier threshold amount for
the IRF PPS so that estimated outlier payments would equal 3 percent of
total estimated payments. For the 2002 IRF PPS final rule, we analyzed
various outlier policies using 3, 4, and 5 percent of the total
estimated payments, and we concluded that an outlier policy set at 3
percent of total estimated payments would optimize the extent to which
we could reduce the financial risk to IRFs of caring for high-cost
patients, while still providing for adequate payments for all other
(non-high cost outlier) cases.
Subsequently, we updated the IRF outlier threshold amount in the
FYs
[[Page 26325]]
2006 through 2014 IRF PPS final rules and the FY 2011 and FY 2013
notices (70 FR 47880, 71 FR 48354, 72 FR 44284, 73 FR 46370, 74 FR
39762, 75 FR 42836, 76 FR 47836, 76 FR 59256, and 77 FR 44618, 78 FR
47860, respectively) to maintain estimated outlier payments at 3
percent of total estimated payments. We also stated in the FY 2009
final rule (73 FR 46370 at 46385) that we would continue to analyze the
estimated outlier payments for subsequent years and adjust the outlier
threshold amount as appropriate to maintain the 3 percent target.
To update the IRF outlier threshold amount for FY 2015, we propose
to use FY 2013 claims data and the same methodology that we used to set
the initial outlier threshold amount in the FY 2002 IRF PPS final rule
(66 FR 41316 and 41362 through 41363), which is also the same
methodology that we used to update the outlier threshold amounts for
FYs 2006 through 2014. Based on an analysis of this updated data, we
estimate that IRF outlier payments as a percentage of total estimated
payments are approximately 2.9 percent in FY 2014. Therefore, we
propose to update the outlier threshold amount to $9,149 to maintain
estimated outlier payments at approximately 3 percent of total
estimated aggregate IRF payments for FY 2015.
We invite public comment on the proposed update to the FY 2015
outlier threshold amount to maintain estimated outlier payments at
approximately 3 percent of total estimated IRF payments.
B. Proposed Update to the IRF Cost-to-Charge Ratio Ceiling and Urban/
Rural Averages
In accordance with the methodology stated in the FY 2004 IRF PPS
final rule (68 FR 45674, 45692 through 45694), we apply a ceiling to
IRFs' CCRs. Using the methodology described in that final rule, we
propose to update the national urban and rural CCRs for IRFs, as well
as the national CCR ceiling for FY 2015, based on analysis of the most
recent data that is available. We apply the national urban and rural
CCRs in the following situations:
New IRFs that have not yet submitted their first Medicare
cost report.
IRFs whose overall CCR is in excess of the national CCR
ceiling for FY 2015, as discussed below.
Other IRFs for which accurate data to calculate an overall
CCR are not available.
Specifically, for FY 2015, based on our estimates, we propose a
national average CCR of 0.571 for rural IRFs, which we calculated by
taking an average of the CCRs for all rural IRFs using their most
recently submitted cost report data. Similarly, based on our estimates,
we propose a national average CCR of 0.456 for urban IRFs, which we
calculated by taking an average of the CCRs for all urban IRFs using
their most recently submitted cost report data. We apply weights to
both of these averages using the IRFs' estimated costs, meaning that
the CCRs of IRFs with higher costs factor more heavily into the
averages than the CCRs of IRFs with lower costs. For this proposed
rule, we have used the most recent available cost report data (FY
2012). This includes all IRFs whose cost reporting periods begin on or
after October 1, 2011, and before October 1, 2012. If, for any IRF, the
FY 2012 cost report was missing or had an ``as submitted'' status, we
used data from a previous fiscal year's (that is, FY 2004 through FY
2011) settled cost report for that IRF. We do not use cost report data
from before FY 2004 for any IRF because changes in IRF utilization
since FY 2004 resulting from the 60 percent rule and IRF medical review
activities suggest that these older data do not adequately reflect the
current cost of care.
In accordance with past practice, we propose to set the national
CCR ceiling at 3 standard deviations above the mean CCR. Using this
method, the proposed national CCR ceiling would be 1.64 for FY 2015.
This means that, if an individual IRF's CCR exceeds this proposed
ceiling of 1.64 for FY 2015, we would replace the IRF's CCR with the
appropriate proposed national average CCR (either rural or urban,
depending on the geographic location of the IRF). We calculated the
proposed national CCR ceiling by:
Step 1. Taking the national average CCR (weighted by each IRF's
total costs, as discussed above) of all IRFs for which we have
sufficient cost report data (both rural and urban IRFs combined).
Step 2. Estimating the standard deviation of the national average
CCR computed in step 1.
Step 3. Multiplying the standard deviation of the national average
CCR computed in step 2 by a factor of 3 to compute a statistically
significant reliable ceiling.
Step 4. Adding the result from step 3 to the national average CCR
of all IRFs for which we have sufficient cost report data, from step 1.
We propose that the proposed national average rural and urban CCRs
and the proposed national CCR ceiling in this section will be updated
in the final rule if more recent data become available to use in these
analyses.
We invite public comment on the proposed update to the IRF CCR
ceiling and the urban/rural averages for FY 2015.
VII. Proposed Refinements to the Presumptive Compliance Methodology
A. Background on the Compliance Percentage
The compliance percentage has been part of the criteria for
defining IRFs since implementation of the Inpatient Prospective Payment
System (IPPS) in 1983. In the September 1, 1983, interim final rule
with comment period (48 FR 39752), which allowed IRFs to be paid
separately from the IPPS, the initial compliance percentage was set at
75 percent. The 1983 interim rule stipulated that in accordance with
sections 1886(d)(1)(B) and 1886(d)(1)(B)(ii) of the Act, a
rehabilitation hospital and a rehabilitation unit were excluded from
the IPPS. Sections 1886(d)(1)(B) and 1886(d)(1)(B)(ii) of the Act also
give the Secretary the discretion to define a rehabilitation hospital
and unit.
A hospital or unit deemed excluded from the IPPS and paid under the
IRF PPS must meet the general requirements in subpart B and subpart P
of part 412. Subject to the special payment provisions of Sec.
412.22(c), a hospital or unit must meet the general criteria set forth
in Sec. 412.22 and in the regulations at Sec. 412.23(b), Sec.
412.25, and Sec. 412.29 that specify the criteria for a provider to be
classified as a rehabilitation hospital or unit. Hospitals and units
meeting these criteria are eligible to be paid on a prospective payment
basis as an IRF under the IRF PPS.
The 1983 interim final rule stipulated that one of the criteria for
being classified as an IRF was that, during the facility's most
recently completed 12-month cost reporting period, the hospital must be
primarily engaged in furnishing intensive rehabilitation services, as
demonstrated by patient medical records, indicating that at least 75
percent of the IRF's patient population were treated for one or more of
the 10 medical conditions specified in the regulation that typically
required the intensive inpatient rehabilitation treatment provided in
an IRF. These criteria, along with other related criteria,
distinguished an inpatient rehabilitation hospital or unit from a
hospital that furnished general medical or surgical services, as well
as rehabilitation services. We believed then, as we do now, that by
examining the types of conditions for which a hospital's inpatients are
treated, and the proportion of patients treated for
[[Page 26326]]
conditions that typically require intensive inpatient rehabilitation,
we would be able to distinguish those hospitals in which the provision
of rehabilitation services was primary rather than secondary. Thus,
Medicare pays for rehabilitation services at IRFs at a higher rate than
other hospitals because IRFs are designed to offer specialized
inpatient rehabilitation care to patients with intensive needs.
The original medical conditions specified under the compliance
percentage, or ``75 percent rule,'' were stroke, spinal cord injury,
congenital deformity, amputation, major multiple trauma, fracture of
femur (hip fracture), brain injury, and polyarthritis (including
rheumatoid arthritis). In the January 3, 1984, final rule (49 FR 234),
we expanded the list of eligible medical conditions to include
neurological disorders (including multiple sclerosis, motor neuron
diseases, polyneuropathy, muscular dystrophy, and Parkinson's disease)
and burns. In the May 7, 2004 final rule (69 FR 25752), we modified and
expanded the list of eligible medical conditions by removing
polyarthritis and substituting three more clearly defined arthritis-
related conditions. The three conditions that replaced polyarthritis
included the following:
Active, polyarticular rheumatoid arthritis, psoriatic
arthritis, and seronegative arthropathies resulting in significant
functional impairment of ambulation and other activities of daily
living, which has not improved after an appropriate, aggressive, and
sustained course of outpatient therapy services or services in other
less intensive rehabilitation settings immediately preceding the
inpatient rehabilitation admission, or which results from a systemic
disease activation immediately before admission, but has the potential
to improve with more intensive rehabilitation.
Systemic vasculidities with joint inflammation, resulting
in significant functional impairment of ambulation and other activities
of daily living, which has not improved after an appropriate,
aggressive, and sustained course of outpatient therapy services or
services in other less intensive rehabilitation settings immediately
preceding the inpatient rehabilitation admission, or which results from
a systemic disease activation immediately before admission, but has the
potential to improve with more intensive rehabilitation.
Severe or advanced osteoarthritis (osteoarthrosis or
degenerative joint disease) involving three or more major joints
(elbow, shoulders, hips, or knees) with joint deformity and substantial
loss of range of motion, atrophy, significant functional impairment of
ambulation and other activities of daily living, which has not improved
after an appropriate, aggressive, and sustained course of outpatient
therapy services or services in other less intensive rehabilitation
settings immediately preceding the inpatient rehabilitation admission,
but has the potential to improve with more intensive rehabilitation. (A
joint replaced by a prosthesis is no longer considered to have
osteoarthritis, or other arthritis, even though this condition was the
reason for the joint replacement.)
In the May 7, 2004 final rule (69 FR 25752), a 13th condition was
also added to include patients who undergo knee and/or hip joint
replacement during an acute hospitalization immediately preceding the
inpatient rehabilitation stay and also meet at least one of the
following specific criteria:
Underwent bilateral knee or hip joint replacement surgery
during the acute hospitalization immediately preceding the IRF
admission.
Are extremely obese patients as measured by the patient's
Body Mass Index (BMI) of at least 50, at the time of admission to the
IRF.
Are patients considered to be ``frail elderly,'' as
determined by a patient's age of 85 or older, at the time of admission
to the IRF (the provision currently states only that the patients be
age 85 or older at the time of admission to the IRF).
In 2002, we surveyed Medicare fiscal intermediaries to determine
how they were enforcing the 75 percent rule. Although the 75 percent
rule was one of the criteria that were used to distinguish an IRF from
an acute care hospital from 1983 to 2004, we found evidence that
different fiscal intermediaries were enforcing the rule differently. We
found fiscal intermediaries were using inconsistent methods to
determine whether IRFs were in compliance with the regulation, and that
some IRFs were not being reviewed for compliance at all. This led to
concerns that some IRFs might have been out of compliance with the
regulation and inappropriately classified as IRFs, while other IRFs may
have been held to overly high standards. Because of these concerns we
sought to establish a more uniform enforcement of the 75 percent rule.
In the May 16, 2003, IRF PPS proposed rule (68 FR 26786), we
solicited comments on the regulatory requirements of the 75 percent
rule. Though we did not, at that time, propose amending the regulatory
requirements for the 75 percent rule located in then Sec.
412.23(b)(2), we did propose to amend these requirements in the
September 9, 2003, proposed rule titled, ``Medicare Program; Changes to
the Criteria for Being Classified as an Inpatient Rehabilitation
Facility'' (68 FR 53266). In that rule, we proposed some revisions to
the 75 percent rule, including lowering the compliance percentage to 65
percent during a 3-year transition period for cost reporting periods
between January 1, 2004, and January 1, 2007. Also, in response to
comments on the September 9, 2003, proposed rule and as stated above,
the May 7, 2004, final rule (69 FR 25752) expanded the number of
medical conditions that would meet the compliance percentage from 10 to
13 and provided that patient comorbidities may also be included in
determining an IRF's compliance with the requirements during the
transition period.
In the September 9, 2003, proposed rule, we defined a
``comorbidity'' as a specific patient condition that is secondary to
the patient's principal diagnosis or impairment that is the primary
reason for the inpatient rehabilitation stay. In the May 7, 2004, rule,
we adopted the provision to use a patient with a comorbidity counting
towards the compliance threshold during the transition period. In the
determination of the compliance percentage, a patient comorbidity
counts toward the percentage if the comorbidity falls in one of the
conditions specified at Sec. 412.29(b)(2) and has caused significant
decline in functional ability in the individual that even in the
absence of the admitting condition, the individual would require the
intensive rehabilitation treatment that is unique to IRFs.
Anticipating that IRFs needed some time to adjust and adapt their
processes to the changes in the enforcement of the 75 percent rule, in
the May 7, 2004 final rule, we provided IRFs with a 3-year phase-in
period (cost reporting periods beginning on or after July 1, 2004,
through July 1, 2007) to establish the compliance threshold of 75
percent of the IRF's total patient population. The 3-year phase-in
period was intended to begin with cost reporting periods on or after
July 1, 2004, with the threshold at 50 percent of the IRF's population
and gradually increase to 60 percent, then to 65 percent, and then to
expire with cost reporting periods beginning on or after July 1, 2007,
when the compliance percentage would once again be at 75 percent.
Section 5005 of the Deficit Reduction Act of 2005 (DRA) (Pub. L.
109-171, enacted February 8, 2006) and section 1886(d)(1)(B) of the Act
modified the
[[Page 26327]]
provisions of the 75 percent rule originally specified in the May 7,
2004, final rule. To reflect these statutory changes, in the August 7,
2007, final rule (72 FR 44284), we revised the regulations to prolong
the overall duration of the phased transition to the full 75 percent
threshold by stipulating that an IRF must meet the full 75 percent
compliance threshold as of its first cost reporting period that starts
on or after July 1, 2008. We also extended the policy of using a
patient's comorbidities to the extent they met the conditions as
outlined in the regulations to determine compliance with the
classification criteria at then Sec. 412.23(b)(2)(1) to the first cost
reporting period that starts on or after July 1, 2008.
Subsequently, section 115 of the MMSEA amended section 5005 of the
DRA to revise elements of the 75 percent rule that are used to classify
IRFs. In accordance with the statute, in the August 8, 2008, final rule
(73 FR 46370), we revised the compliance rate that IRFs must meet to be
excluded from the IPPS and be paid under the IRF PPS to 60 percent for
cost reporting periods beginning in or after July 1, 2006. Also, in
accordance with the statute, we required that patient comorbidities
that satisfy the criteria as specified at then Sec. 412.23(b)(2)(i)
[now located at Sec. 412.29(b)(1) and Sec. 412.29(b)(2)] be included
in calculations used to determine whether an IRF meets the 60 percent
compliance percentage for cost reporting periods beginning on or after
July 1, 2007. As a result of these changes, the requirements started
being referred to as the ``60 percent rule,'' instead of the ``75
percent rule.'' The regulations finalized in the FY 2009 IRF PPS Final
Rule (73 FR 46370) continue to be in effect.
Though an IRF must serve an inpatient population of whom at least
60 percent meet the compliance percentage criteria specified at Sec.
412.29(b), the existing regulation allows for 40 percent of reasonable
and necessary admissions to an IRF to fall outside of the 13 qualifying
medical conditions. Still, the ``60 percent rule'' is one of the
primary ways we distinguish an IRF from an acute care hospital. As
Medicare payments for IRF services are generally significantly higher
than Medicare payments for similar services provided in acute care
hospital settings, we believe that it is important to maintain and
enforce the criteria for medical conditions that may be counted toward
an IRF's compliance calculation for the 60 percent rule to ensure that
the higher Medicare payments are appropriately allocated to those
providers that are providing IRF-level services.
B. Proposed Changes to the Diagnosis Codes That Are Used To Determine
Presumptive Compliance
In the FY 2014 IRF PPS final rule (78 FR 47860, 47881 through
47895), we revised the list of ICD-9-CM diagnosis codes that are used
to determine presumptive compliance, effective for compliance review
periods beginning on or after October 1, 2014. These revisions were
based on an analysis of the ICD-9-CM code list that determined the
clinical appropriateness of each individual ICD-9-CM code's inclusion
on the list. As a result of this analysis, we also intended to remove
all of the status post-amputation diagnoses codes, but these codes were
inadvertently omitted from the FY 2014 IRF PPS proposed and final
rules. These codes, listed in Table 7, are used to indicate that a
patient has the sequela or residual effect of a condition.
As we stated in the FY 2014 IRF PPS final rule (78 FR 47860, at
47881), the ICD-9-CM diagnosis codes included on the ``ICD-9-CM Codes
That Meet Presumptive Compliance Criteria'' list are ones that
demonstrate that the patient meets criteria for the medical conditions
that may be counted toward an IRF's compliance percentage under the
presumptive compliance methodology. Further, we stated that the
underlying premise of the presumptive compliance methodology list is
that it represents particular diagnosis codes that, if applicable to a
given patient, would more than likely mean that the patient required
intensive rehabilitation services in an IRF for treatment of one or
more of the conditions specified at Sec. 412.29(b)(2) or that they had
a comorbidity that caused significant decline in functional ability
such that, even in the absence of the admitting condition, the patient
would require the intensive rehabilitation treatment that is unique to
IRFs and cannot be appropriately treated in another care setting. For
the reasons described below, we do not believe that the ICD-9-CM
diagnosis codes listed in Table 7 meet either of these criteria. We
believe it is impossible to determine, from the presence of such
diagnosis codes alone, whether a patient with an amputation status or
prosthetic fitting and adjustment needs has a condition for which he or
she would qualify for treatment in an IRF. Some patients with an
amputation status or prosthetic fitting and adjustment needs will not
require close medical supervision by a physician or weekly
interdisciplinary team conferences to achieve their goals, while others
may require these services. We believe that rehabilitation associated
with an amputation status or prosthetic fitting and adjustment needs
does not necessarily need to be accompanied by the close medical
management provided in IRFs, as long as the patient does not have any
additional comorbidities that have caused significant decline in his or
her functional ability that, in the absence of an amputation status or
prosthetic fitting and adjustment needs, would necessitate treatment in
an IRF. That is to say, a patient's need for intensive rehabilitation
services provided in an IRF may depend on other conditions which cannot
be solely identified through the presence of an amputation status or
prosthetic fitting and adjustment diagnosis code. If a patient with one
of the diagnosis codes listed in Table 7 has additional comorbidities
that would necessitate treatment in an IRF, then those additional
comorbidities would qualify the patient for inclusion in the
calculation of the IRF's compliance percentage under the presumptive
compliance methodology. Thus, we propose the removal of the status
post-amputation diagnosis codes listed in Table 7 from the list of
``ICD-9-CM Codes That Meet Presumptive Compliance Criteria.'' This
proposed removal would be effective for compliance review periods
beginning on or after October 1, 2014, and the changes would be
incorporated into the ICD-10 lists (discussed below) when ICD-10-CM
becomes the required medical data code set for use on Medicare claims
and IRF-PAI submissions. We invite public comment on the proposed
changes to the diagnosis codes that are used to determine presumptive
compliance.
Table 7--ICD-9-CM Codes Proposed To Be Removed From ``ICD-9-CM Codes
That Meet Presumptive Compliance Criteria''
------------------------------------------------------------------------
ICD-9-CM code Diagnosis
------------------------------------------------------------------------
V49.65............................ Below elbow amputation status.
V49.66............................ Above elbow amputation status.
V49.67............................ Shoulder amputation status.
V49.73............................ Foot amputation status.
V49.74............................ Ankle amputation status.
V49.75............................ Below knee amputation status.
V49.76............................ Above knee amputation status.
V49.77............................ Hip amputation status.
V52.0............................. Fitting and adjustment of artificial
arm (complete) (partial).
V52.1............................. Fitting and adjustment of artificial
leg (complete) (partial).
------------------------------------------------------------------------
[[Page 26328]]
C. Proposed Changes to the Impairment Group Codes That Meet Presumptive
Compliance Criteria
An ``impairment group code'' is not an ICD diagnosis code, but part
of a separate unique set of codes specifically developed for the IRF
PPS for assigning the primary reason for admission to an IRF. These
codes are listed in the IRF-PAI Training Manual (see section II, item
21, and Appendix A). The IRF-PAI Training Manual is available
through the Internet on the CMS Web site at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/InpatientRehabFacPPS/IRFPAI.html.
If an IRF is eligible to use the presumptive methodology to
evaluate its compliance with the 60 percent rule, all of its IRF-PAI
assessments from the most recently completed 12-month compliance review
period are examined (with the use of a computer program) to determine
whether they contain any of the codes listed on the presumptive
methodology lists (that is, ``ICD-9-CM Codes That Meet Presumptive
Compliance Criteria'' and ``Impairment Groups That Meet Presumptive
Compliance Criteria''). Each selected assessment is presumptively
categorized as either meeting or not meeting the IRF 60 percent rule
requirements based upon the primary reason for the patient to be
treated in the IRF (the impairment group) and the ICD diagnosis codes
listed as either the etiologic diagnosis (the etiologic problem that
led to the condition for which the patient is receiving rehabilitation)
or one of 25 comorbidities on the assessment.
Not all impairment group codes (IGC) meet the presumptive
compliance criteria. The underlying premise of the list of eligible
IGCs that are used to determine presumptive compliance (similar to the
diagnosis codes listed in ``ICD-9-CM Codes That Meet Presumptive
Compliance Criteria'') includes particular IGCs that, if applicable to
a given patient, would more than likely mean that the patient required
intensive rehabilitation services for treatment of one or more of the
conditions specified at Sec. 412.29(b)(2). The current list of
eligible IGCs that meet presumptive compliance criteria, Appendix B:
Impairment Group Codes That Meet Presumptive Compliance Criteria, can
be downloaded from the October 1, 2007, IRF Compliance Rule
Specification Files on the Medicare IRF PPS Web site at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/InpatientRehabFacPPS/Criteria.html. Again, this list contains only
those IGCs that meet the presumptive compliance criteria.
1. Proposed Removal of IGCs for Unilateral Upper Extremity Amputations
and Arthritis From Appendix B: Impairment Group Codes That Meet
Presumptive Compliance Criteria
In the FY 2014 IRF PPS final rule (78 FR 47889 through 47895), we
finalized (applicable for compliance review periods beginning on or
after October 1, 2014) the removal of certain ICD-9-CM codes for
unilateral upper extremity amputations from the list of ``ICD-9-CM
Codes That Meet Presumptive Compliance Criteria'' because we believed
that it is impossible to determine, from the presence of such ICD-9-CM
codes alone, whether a patient with such a unilateral upper extremity
amputation has a condition for which he or she would need intensive
rehabilitation services for treatment of one or more of the conditions
specified in Sec. 412.29(b)(2). Further, we stated that a patient's
need for intensive inpatient rehabilitative services for the treatment
of one or more of these conditions would depend on the presence of
additional comorbidities that caused significant decline in his or her
functional ability to an extent that would necessitate treatment in an
IRF. If the patient has one or more of the comorbidities on the list of
``ICD-9-CM Codes That Meet Presumptive Compliance Criteria,'' then the
patient would already qualify as meeting the presumptive compliance
criteria. We concluded that if the diagnosis codes for such a patient's
comorbidities do not appear on the list of ``ICD-9-CM Codes That Meet
Presumptive Compliance Criteria,'' then the patient could still be
considered for inclusion in the IRF's compliance percentage following
medical review and confirmation that they meet the criteria for one or
more of the medical conditions in the regulations.
In the FY 2014 IRF PPS final rule (78 FR 47887 through 47895), we
also finalized (applicable for compliance review periods beginning on
or after October 1, 2014) the removal of ICD-9-CM diagnosis codes for
arthritis conditions from the list of ``ICD-9-CM Codes That Meet
Presumptive Compliance Criteria'' because the inclusion of patients
with these medical conditions in the presumptive compliance calculation
of the IRF's compliance percentage is conditioned on those patients
meeting the described severity and prior treatment requirements.
However, the ICD-9-CM diagnosis codes that reflect these arthritis and
arthropathy conditions do not provide any information about the
severity of the condition or whether the prior treatment requirements
were met. Therefore, we stated in the FY 2014 IRF PPS final rule that
we believe that additional information beyond the presence of the code
is necessary to determine if the medical record would support inclusion
of individuals with the arthritis and arthropathy conditions outlined
in our regulations under Sec. 412.29(b)(2)(x) through Sec.
412.29(b)(2)(xii) in the presumptive compliance calculation of the
facility's compliance percentage. For this reason, we finalized the
removal of the ICD-9-CM diagnosis codes associated with the medical
conditions outlined in our regulations under Sec. 412.29(b)(2)(x)
through Sec. 412.29(b)(2)(xii) from the list of ``ICD-9-CM Codes That
Meet Presumptive Compliance Criteria.'' However, we also stated that we
expect that the MACs will be able, upon medical review, to include
those patients in a facility's compliance percentage upon confirmation
that the severity and prior treatment requirements were met.
Consistent with our rationale in the FY 2014 IRF PPS final rule for
removing the ICD-9-CM diagnoses codes for unilateral upper extremity
amputations and the arthritis and arthropathy conditions, we propose to
make conforming changes to the IGCs by proposing the removal of four
IGCs from Appendix B: Impairment Group Codes That Meet Presumptive
Compliance Criteria. Thus, we propose to remove the following codes
from Appendix B: Impairment Group Codes That Meet Presumptive
Compliance Criteria:
IGC 0005.1--Unilateral Upper Limb Above the Elbow (AE),
IGC 0005.2--Unilateral Upper Limb Below the Elbow (BE),
IGC 0006.1--Rheumatoid Arthritis, and
IGC 0006.9--Other Arthritis.
2. Other Proposed Changes to Appendix B: Impairment Group Codes That
Meet Presumptive Compliance Criteria
We propose to revise Appendix B: Impairment Group Codes That Meet
Presumptive Compliance Criteria by revising the diagnosis codes listed
as exclusions on the table and by revising the title of the table.
In the FY 2014 IRF PPS final rule (78 FR 47860, 47881 through
47895), we finalized (applicable for compliance review periods
beginning on or after October 1, 2014) the removal of certain ICD-9-CM
codes from the list of ``ICD-9-CM Codes That Meet Presumptive
Compliance Criteria.'' Accordingly, we
[[Page 26329]]
propose to exclude these diagnosis codes from counting if they are the
patient's Etiologic Diagnosis (that is, the etiologic problem that led
to the condition for which the patient is receiving rehabilitation).
That is, a given IGC that would otherwise meet the presumptive
compliance criteria will not meet such criteria if the patient has one
of the ``excluded'' Etiologic Diagnoses for that IGC.
In addition, in the FY 2014 IRF PPS final rule (78 FR 47860,
47883), we implemented a change in the titles of some tables used in
the presumptive compliance methodology to no longer use alphabet
characters or the ``Appendix'' labels to identify these tables.
Consistent with the intent to reduce confusion among tables, and
effective October 1, 2014, we propose to identify Appendix B:
Impairment Group Codes That Meet Presumptive Compliance Criteria as
``Impairment Group Codes That Meet Presumptive Compliance Criteria.''
This new proposed table, ``Impairment Group Codes That Meet
Presumptive Compliance Criteria,'' also lists Etiologic Diagnosis codes
that are excluded from counting under related IGCs in ICD-10-CM code
format. For example, ICD-10-CM code G72.3, ``Periodic Paralysis'' is an
excluded Etiologic Diagnosis code under IGC 0003.8, ``Neuromuscular
Disorders.'' Further, to accommodate the proposed Etiologic Diagnosis
code exclusions, we have reformatted this table. A revised table
containing the proposed ``Impairment Group Codes That Meet Presumptive
Compliance Criteria,'' with the additional proposed ICD-10-CM Etiologic
Diagnosis exclusions described in this section, can be viewed on the
Medicare IRF PPS Web site at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/InpatientRehabFacPPS/Data-Files.html. The proposed
changes to the table, ``Impairment Group Codes That Meet Presumptive
Compliance Criteria,'' would be effective for compliance review periods
beginning on or after October 1, 2014. We invite public comment on the
proposed changes to the impairment group codes that meet presumptive
compliance criteria.
VIII. Proposed Data Collection of the Amount and Mode (Individual,
Group, and Co-Treatment) of Therapy Provided in IRFs According to
Occupational, Speech, and Physical Therapy Disciplines
Prior to the implementation of the IRF PPS in January 2002,
Medicare payment for IRF services under section 101(a) of the Tax
Equity and Fiscal Responsibility Act of 1982 (Pub. L. 97-248, enacted
September 3, 1982) was based on the reasonable costs incurred in
furnishing services to Medicare beneficiaries, subject to a limit on
allowable costs per discharge. Thus, for therapy services, Medicare
reimbursed IRFs based on the reasonable costs incurred in furnishing
appropriate levels of Individual Therapy or Group Therapy, which meant
that IRFs had limited financial incentives to provide more of one type
of therapy than another. We presumed that decisions about the mode of
therapy delivery were likely to be based on the needs of the patient
and on the best way to assist patients in meeting their individualized
rehabilitation goals. With the advent of the IRF PPS beginning in
January 2002, Medicare began reimbursing IRFs using a set prospective
payment amount that was intended to cover the costs of all treatment
and services, including therapy services, provided to patients in the
IRF. This increased the financial incentives for IRFs to give patients
more Group Therapy and less Individual Therapy, because Individual
Therapy is more costly to provide. Although we know that the financial
incentives for the provision of Individual Therapy and Group Therapy
changed, we do not know whether IRFs provided different modes of
therapy in response to the new incentives or how much Individual
Therapy and Group Therapy IRFs currently provide. Medicare does not
currently collect data on the amount of Individual, Group, and Co-
Treatment Therapies, according to therapy discipline, that IRFs are
currently providing. We believe that it is important to begin
collecting these data to determine what services Medicare is paying for
under the IRF prospective payment system, which would allow us to
analyze whether we are paying appropriately for services currently
rendered by IRFs. Medicare administrative data (such as the IRF claims
data) do not currently provide the level of detailed information about
the mode and type of therapy provided that we require to perform these
analyses. Thus, this proposed new data collection will assist us in the
development of appropriate coverage and payment criteria for the
provision of Group Therapy in the IRF setting. We believe that these
coverage and payment criteria are important to balance the beneficial
aspects of Group Therapy for certain patients in certain instances with
the IRF requirements for an intensive rehabilitation therapy program.
In the FY 2010 IRF PPS proposed rule (74 FR 21070, 21071) in which
we proposed a revised set of Medicare coverage requirements for IRF
services, we discussed the relative value of Individual Therapy versus
Group Therapy in the IRF setting. To improve our understanding of when
Group Therapy is most appropriate in IRFs, we solicited comments in
that proposed rule on the types of patients for whom Group Therapy is
appropriate, and the specific amount of Group Therapy that may be
beneficial for these types of patients. Subsequently, we discussed the
comments in the FY 2010 IRF PPS final rule (74 FR 39796, 39797).
Although the comments on the FY 2010 IRF PPS proposed rule did not
offer any clinical study results or any data that would be helpful to
us in developing coverage and payment criteria for the provision of
Group Therapy in IRFs, the comments did suggest an important role for
Group Therapy in the provision of therapies in IRFs. However, the
majority of commenters remarked that Group Therapy should be limited in
some way. Many commenters agreed that Group Therapy is a good adjunct
to Individual Therapy, but should not be the primary source of therapy
services provided in IRFs. Several commenters recommended that we limit
the amount of Group Therapies provided in IRFs, and that we also limit
the number of patients who can participate in a Group Therapy session.
Commenters also suggested that Group Therapy sessions should be
comprised of patients with similar diagnoses. We agreed with the
commenters that Group Therapy should not be the primary source of
therapy given to patients in IRFs. Group Therapy should be used in IRFs
primarily as an adjunct to Individual Therapy services, which is the
standard of care in IRFs, as Group Therapy may not uniformly represent
the level of intensive rehabilitation therapy required and paid for in
the IRF setting. In the final rule, we also stated that we would
consider adopting specific coverage and payment criteria for Group
Therapy practice in IRFs through future rulemaking.
When an authorized clinician deems it to be necessary, we continue
to believe that Group Therapy can serve as an appropriate mode of
therapy delivery that can be beneficial to the particular needs of IRF
patients as an adjunct to Individual Therapy. Anecdotally, we
understand that Group Therapy remains a widely used mode of therapy in
the IRF setting. But as we stated in the FY 2010 IRF PPS final rule, we
believe that it would be inappropriate for IRFs to
[[Page 26330]]
provide essentially all therapy in the form of Group Therapy because we
do not believe that this is in the best interest of the patients, or
that it reflects the services for which the IRF prospective payment
system was established to pay. Therefore, to better understand the ways
in which therapy services are currently being provided in IRFs, we
propose to add a new Therapy Information Section to the IRF-PAI to
record the amount and mode of therapy (that is, Individual, Group, Co-
Treatment) patients receive in each therapy discipline (that is,
physical therapy, occupational therapy, and speech-language pathology).
For purposes of recording therapy services in IRFs, we propose to
define Individual Therapy as the provision of therapy services by one
licensed or certified therapist (or licensed therapy assistant, under
the appropriate direction of a licensed or certified therapist) to one
patient at a time (this is sometimes referred to as ``one-on-one''
therapy). We propose to define Group Therapy as the provision of
therapy services by one licensed or certified therapist (or licensed
therapy assistant, under the appropriate direction of a licensed or
certified therapist) to between 2 and 6 IRF patients at one time,
regardless of whether those 2 to 6 IRF patients are performing the same
activity or different activities. We propose to define Co-Treatment as
the provision of therapy services by more than one licensed or
certified therapist (or licensed therapy assistant, under the
appropriate direction of a licensed therapist) from different therapy
disciplines to one patient at the same time. For example, Co-Treatment
could involve one physical therapist and one occupational therapist
working with one patient at the same time to achieve the patient's
goals. Because Co-Treatment is appropriate for specific clinical
circumstances and is not suitable for all patients, its use should be
limited.
We propose to collect this information in a new Therapy Information
Section on the IRF-PAI, which would be effective for IRF discharges
beginning on or after October 1, 2015. The proposed new Therapy
Information Section would be completed as part of the patient's
discharge assessment. In this new proposed section, the IRF would
record how many minutes of Individual, Group, and Co-Treatment
therapies the patient received, according to each therapy discipline
(that is, physical therapy, occupational therapy, and speech-language
pathology), during the first week (7 calendar day period) of the IRF
stay; how many minutes of Individual, Group, and Co-Treatment therapies
the patient received, according to each therapy discipline, during the
second week (7 calendar day period) of the IRF stay; and the average
number of minutes of Individual, Group, and Co-Treatment therapies the
patient received, according to each therapy discipline, during all
subsequent weeks (7 calendar day periods) of the IRF stay, beginning
with the third week. For Co-Treatment, each therapist would record the
amount of time spent with the patient. That is, if a physical therapist
and an occupational therapist both worked with the patient from 9:00
a.m. to 9:30 a.m., then each therapist would record 30 minutes with the
patient in the Co-Treatment section of the IRF-PAI. The draft of the
proposed IRF-PAI for FY 2016 that would include this new proposed
Therapy Information Section is available for download from the IRF PPS
Web site at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/InpatientRehabFacPPS/IRFPAI.html in conjunction with the
publication of this proposed rule. We propose to use these data for the
following purposes:
To analyze the types of therapy services Medicare is
currently paying for under the IRF prospective payment system; and
To monitor the amount of therapy given and the use of
different therapy modes in IRFs to support future rulemaking in this
area.
For example, we are considering using these data to propose limits
on the amount of Group Therapy that may be provided in IRFs through
future rulemaking. One such limit that we are currently considering is
that an IRF patient may receive no more than 25 percent of his or her
total therapy treatment time in Group Therapy, similar to the limit
that currently exists in the skilled nursing facility (SNF) setting, as
discussed in the SNF PPS and Consolidated Billing final rule (64 FR
41644, 41662). We specifically solicit public comment on all of these
proposals, including whether 25 percent is the most appropriate limit
to establish for the IRF setting.
IX. Proposed Revision to the IRF-PAI To Add Data Item for Arthritis
Conditions
In the FY 2014 IRF PPS final rule (78 FR 47860, 47881 through
47895), we revised the list of ICD-9-CM diagnosis codes that are used
to determine presumptive compliance, effective for compliance review
periods beginning on or after October 1, 2014. As part of these
revisions, we removed all of the ICD-9-CM codes for arthritis
conditions because we found that such codes did not provide any
information as to whether the patients met the severity and prior
treatment requirement portions of the criteria for the medical
conditions that may be counted toward an IRF's compliance percentage
under the presumptive compliance method. As we said in the FY 2014 IRF
PPS final rule, we did not adopt any and all arthritis conditions in
the May 7, 2004, final rule (69 FR 25752). Rather, we only provided for
those patients with certain kinds of arthritic conditions that met
defined severity and prior treatment requirements. We anticipated that
less severe arthritic conditions could be satisfactorily managed
outside of IRFs since these cases would not require the intensive
therapy provided in the inpatient rehabilitation setting.
We received a number of comments on the removal of the ICD-9-CM
codes for arthritis, with the majority of commenters suggesting that
these changes would increase the use of the medical review method,
which is more burdensome for both CMS and for IRFs. Several commenters
suggested that IRFs should not be required to undergo a ``full medical
review'' if they fail to meet the required compliance percentage using
the presumptive compliance method. Instead, they suggested use of a
``limited medical review'' in which only arthritis and systemic
vasculidities cases would be reviewed. We said in the FY 2014 IRF PPS
final rule that we would use the time afforded by the 1-year delayed
implementation to consider the feasibility of minimizing any burdens
created by the operational aspects of this policy.
In keeping with what we stated in the FY 2014 IRF PPS final rule,
we propose to add an item to the IRF-PAI form for an IRF to record the
specific arthritis diagnosis code(s) for each patient that meets the
severity and prior treatment requirements outlined in the regulation.
By coding arthritis diagnosis codes in this section, the IRF would be
indicating that the patient's arthritis conditions have met all of the
severity and prior treatment requirements (as outlined in regulation at
Sec. 412.29(b)(2)(x) through Sec. 412.29(b)(2)(xii)) to be counted
toward an IRF's compliance percentage under the presumptive compliance
method. This new proposed item would be added to the IRF-PAI form for
IRF discharges occurring on or after October 1, 2015. The purpose of
this new proposed item is to provide us with the additional severity
and prior treatment information necessary for us to identify the
arthritis diagnoses that are appropriate to count toward an IRF's
[[Page 26331]]
compliance percentage under the presumptive compliance method, thus
reducing the medical review burden. If an IRF's presumptive compliance
percentage is below the compliance threshold (currently, 60 percent),
but inclusion of the arthritis codes reported in this new proposed data
item would result in the IRF's presumptive compliance percentage
meeting or exceeding the compliance threshold, then we propose to
perform a ``limited'' medical review on a statistically valid random
sample of the cases documented under this new item to ensure that the
severity and prior treatment requirements were actually met. The number
of cases from the statistically valid random sample that are found to
meet the severity and prior treatment requirements will be extrapolated
to the total number of cases documented under this new item (that is,
if 70 percent of the cases in the statistically valid random sample are
found to meet the severity and prior treatment requirements, then we
will presume that 70 percent of all of the cases documented in the new
item met the severity and prior treatment requirements). If the IRF's
presumptive compliance percentage meets or exceeds the compliance
threshold (currently, 60 percent) with the addition of the compliant
cases documented under the new item, then the IRF will be presumed to
meet the 60 percent rule requirements and will not be subject to
additional medical review for that compliance review period. However,
if the number of compliant cases documented under the new item does not
result in the IRF's presumptive compliance percentage meeting or
exceeding the compliance threshold (currently 60 percent), then the
normal medical review procedures for IRFs not meeting the compliance
threshold (currently 60 percent) under the presumptive compliance
method will apply. A draft of the proposed IRF-PAI for FY 2016, with
the proposed new item, is available for download on the IRF PPS Web
site at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/InpatientRehabFacPPS/IRFPAI.html in conjunction with the release of
this proposed rule.
We believe that the proposed new item, supported by the reduced
medical review burden, minimizes the increase in burden from this
policy while still allowing us to ensure that the arthritis diagnosis
codes that are included in the calculation of an IRF's compliance
percentage under the presumptive compliance method actually meet the
severity and prior treatment regulatory requirements.
X. International Classification of Diseases, 10th Revision, Clinical
Modification (ICD-10-CM), Conversion
A. Background on the Use of Diagnosis Information in the IRF PPS
As described in section I.C. of this proposed rule, IRFs are
required to complete the appropriate sections of a patient assessment
instrument (PAI), designated as the Inpatient Rehabilitation Facility-
Patient Assessment Instrument (IRF-PAI), upon the admission and
discharge of a Medicare Part A Fee-for-Service patient. In addition,
beginning with IRF discharges occurring on or after October 1, 2009,
the IRF is also required to complete the appropriate sections of the
IRF-PAI upon the admission and discharge of each Medicare Part C
(Medicare Advantage) patient, as described in the FY 2010 IRF PPS final
rule (74 FR 39762, 39798 through 39800). Several sections of the IRF-
PAI (currently, items 22, 24, 46, and 47) require IRFs to
report diagnosis information for patients. Until ICD-10-CM becomes the
required medical data code set for use on Medicare claims and IRF-PAI
submissions, we will continue to use the ICD-9-CM medical data code
set. Medicare uses the diagnosis information recorded on the IRF-PAI
for the following purposes:
1. To case-mix adjust the IRF PPS payment for a patient by
assigning the patient to an appropriate payment tier based on the
patient's comorbidities.
2. To determine, using the presumptive compliance method, whether
an IRF presumptively meets the 60 percent rule requirements in Sec.
412.29(b).
As described in more detail in the FY 2002 IRF PPS final rule (66
FR 41316), we developed a list of diagnosis codes (previously, ICD-9-CM
codes) that, if coded as a comorbidity in item 22 on a
patient's IRF-PAI, result in that patient being assigned to one of
three higher-paying payment tiers under the IRF PPS. In the FY 2006 IRF
PPS final rule (70 FR 57166), we updated and revised the list of
diagnosis codes (at that time, ICD-9-CM codes). We refer to the current
list of diagnosis codes that, if present on a patient's IRF-PAI, result
in the patient being assigned to a higher-paying tier as the ``List of
Comorbidities'' in this proposed rule.
In addition to determining the appropriate tier assignment for
case-mix adjusting IRF PPS payments, the diagnosis coding on the IRF-
PAI is also used within the presumptive compliance method that
typically serves as the first step in determining an IRF's compliance
with the 60 percent rule. As discussed in more detail in section VII.
of this proposed rule, the presumptive compliance method is one of two
ways that Medicare's contractors may evaluate an IRF's compliance with
the 60 percent rule (the other method is called the medical review
method). The diagnosis coding on the IRF-PAI assessments from an IRF's
most recently completed 12-month compliance review period are examined
(with the use of a computer program) to determine whether they contain
any of the diagnosis codes that are listed in the ``ICD-9-CM Codes That
Meet Presumptive Compliance Criteria'' (which is also known as the
presumptive methodology list).
Additionally, the computer program examines the impairment group
codes, which are not ICD-9-CM or ICD-10-CM codes, but are instead part
of a separate unique set of codes specifically developed for the IRF
PPS for assigning the primary reason for admission to an IRF. The
computer program compares the impairment group codes listed in item
21 to the list of ``Impairment Group Codes That Meet
Presumptive Compliance Criteria'' to determine whether the patient's
impairment group code presumptively meets the 60 percent rule
requirements. In certain cases, the list of ``Impairment Group Codes
That Meet Presumptive Compliance Criteria'' contain Etiologic Diagnosis
exclusions. For example, impairment group code 0005.4, which represents
a unilateral lower limb amputation below the knee is included on the
list of ``Impairment Group Codes that Meet Presumptive Compliance
Criteria,'' unless the associated Etiologic Diagnosis recorded on the
patient's IRF-PAI in item 22 is 895.0 (under ICD-9-CM), which
indicates a traumatic amputation of the toe or toes. Therefore, the
list of ``Impairment Group Codes That Meet Presumptive Compliance
Criteria'' contains diagnosis code information (currently ICD-9-CM
codes) in addition to impairment group codes.
As these lists all contain diagnosis code information (currently in
the form of ICD-9-CM diagnosis codes) that is used to case-mix adjust
payments, to determine an IRF's presumptive compliance with the 60
percent rule, and to assist IRFs in accurately completing the
impairment group code information on the IRF-PAI, the lists must all be
converted to ICD-10-CM for the IRF PPS to assign payments and classify
IRF facilities appropriately when ICD-10-CM becomes the required
[[Page 26332]]
medical data code set for use on Medicare claims and IRF-PAI
submissions.
B. Conversion of Diagnosis Information From ICD-9-CM to ICD-10-CM for
the IRF PPS
In the September 5, 2012, final rule, ``Administrative
Simplification: Adoption of a Standard for a Unique Health Plan
Identifier; Addition to the National Provider Identifier Requirements;
and a Change to the Compliance Date for the International
Classification of Diseases, 10th Edition (ICD-10-CM and ICD-10-PCS)
Medical Data Code Sets'' (77 FR 54664), The Department of Health and
Human Services announced a delay in the implementation of the ICD-10-CM
and ICD-10-PCS code sets from October 1, 2013 to October 1, 2014. The
transition to the ICD-10 code sets is required for entities covered by
the Health Insurance Portability and Accountability Act of 1996
(HIPAA). On April 1, 2014, the Protecting Access to Medicare Act of
2014 (PAMA) (Pub. L. 113-93) was enacted. Section 212 of PAMA, titled
``Delay in Transition from ICD-9 to ICD-10 Code Sets,'' provides that
``[t]he Secretary of Health and Human Services may not, prior to
October 1, 2015, adopt ICD-10 code sets as the standard for code sets
under section 1173(c) of the Social Security Act (42 U.S.C. 1320d-2(c))
and section 162.1002 of title 45, Code of Federal Regulations.'' As of
now, the Secretary has not implemented this provision under HIPAA.
We are addressing the conversion of ICD-9-CM to ICD-10-CM codes for
the IRF PPS in this proposed rule, but in light of PAMA, the effective
date of those changes would be the date when ICD-10-CM becomes the
required medical data code set for use on Medicare claims and IRF-PAI
submissions. Until that time, we would continue to require use of the
ICD-9-CM codes for the IRF PPS.
CMS, along with our support contractor 3M, has spent several years
implementing a process for the transition from the use of ICD-9-CM
diagnosis codes to ICD-10-CM codes within both the IRF PPS Grouper and
the software for evaluating IRFs' compliance with the 60 percent rule.
As this will be the first time that ICD-10-CM codes have been used for
the IRF PPS, we invite public comment on our translation of the
diagnosis code lists into ICD-10-CM.
To ensure a smooth transition from the use of ICD-9-CM diagnosis
codes to ICD-10-CM codes for the IRF PPS, we propose to use the
converted ICD-10-CM lists that are available for download from the CMS
Web site at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/InpatientRehabFacPPS/Data-Files.html when ICD-10-CM becomes the
required medical data code set for use on Medicare claims and IRF-PAI
submissions. To convert these lists from ICD-9-CM to ICD-10-CM, we used
the General Equivalence Mappings (GEMs) that were developed as a tool
to assist in converting ICD-9-CM-based applications to ICD-10-CM. The
GEMs tool is a comprehensive translation dictionary that was developed
over a 3-year period by CMS and the Centers for Disease Control and
Prevention (CDC), with input from both the American Hospital
Association and the American Health Information Management Association
(AHIMA). They can be used to translate any ICD-9-CM-based data into
ICD-10-CM. For more information on GEMs, please refer to the General
Equivalence Mappings Frequently Asked Questions Booklet, which is
available for download from the CMS Web site at https://www.cms.gov/Medicare/Coding/ICD10/ICD-10-MS-DRG-Conversion-Project.html. Like a
translation dictionary, the GEMs tool is based on the complete meaning
of a given code, where ``meaning'' refers to the correspondence between
the official documents (tabular and index) that define each code set.
The GEMs tool contains a complete and comprehensive bidirectional set
of mappings between ICD-9-CM and ICD-10-CM.
Our intention in converting the ICD-9-CM diagnosis codes to ICD-10-
CM diagnosis codes within the IRF PPS was for the converted codes to
reflect the same ``meaning'' as the original codes. That is, except for
the specific changes to the ``Impairment Group Codes that Meet
Presumptive Compliance Criteria'' list and to the ``ICD-9-CM Codes that
Meet Presumptive Compliance Criteria'' list described in section VII of
this proposed rule, we did not intend to add conditions to, or delete
conditions from, the ICD-9-CM codes used in the IRF PPS. Thus, for all
IRF lists containing an ICD-9-CM code, we used the 2014 GEMs, which can
be downloaded from the CMS Web site at https://www.cms.gov/Medicare/Coding/ICD10/2014-ICD-10-CM-and-GEMs.html to create a translation list,
and then we reviewed and revised that translation list to ensure that
all of the codes on the new ICD-10-CM list reflect as closely as
possible the same ``meaning'' as the codes that were present on the old
ICD-9-CM list. We invite public comment on our translation of the lists
into ICD-10-CM for the IRF PPS.
The majority of ICD-9-CM codes have straightforward translation
alternative(s) in ICD-10-CM, where the diagnoses classified to a given
ICD-9-CM code are replaced by one or more ICD-10-CM codes. Wherever
possible, we erred on the side of including a given ICD-10-CM code if
we believed that a patient coded with that ICD-10-CM code would have
been correctly coded with the associated ICD-9-CM prior to the
transition from ICD-9-CM to ICD-10-CM. Our intent is that the meaning
of the diagnosis codes is thereby unchanged because all of the patient
records that would have been correctly coded using the ICD-9-CM codes
are correctly coded using one or more of the specific ICD-10-CM codes.
For example, the ICD-9-CM code 582.1, ``Human herpesvirus 6
encephalitis,'' translates directly to the ICD-10-CM code B1001,
``Human herpesvirus 6 encephalitis.''
Below, we note two issues within ICD-10-CM coding that differ from
ICD-9-CM coding, and therefore, require special attention to ensure
correct coding of patient diagnoses under ICD-10-CM.
Combination Diagnosis Codes in ICD-9-CM and ICD-10-CM--
Both ICD-9-CM and ICD-10-CM contain diagnosis codes called combination
codes, meaning that one code contains two or more diagnoses. Typically,
one diagnosis in the combination code is a chronic disease, such as
diabetes, and the other diagnosis is an associated manifestation or
complication of the disease, such as diabetic nephropathy.
ICD-10-CM contains many new combination codes that are not
contained in ICD-9-CM. In terms of a coded record, this means that the
same diagnoses coded with one ICD-10-CM combination code may require
two or more ICD-9-CM codes to capture a comparable level of detail. In
addition, ICD-9-CM contains combination codes with diagnosis
terminology that was revised or deleted from ICD-10-CM, with the result
that the same diagnoses coded with one ICD-9-CM code may require two or
more ICD-10-CM codes to capture a comparable level of detail. For
example, ICD-9-CM code 115.11, ``Infection by Histoplasma duboisii,
meningitis'' translates to a pair of ICD-10-CM codes, ``B39.5--
Histoplasmosis duboisii'' and code ``G02--Meningitis in other
infectious and parasitic diseases classified elsewhere.'' In such
instances, the intent of our policy is unchanged because the patient
records that would have been correctly coded using the single ICD-9-CM
code will now be correctly coded using a combination of ICD-10-CM
codes. Furthermore, in
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such instances, to maintain the same meaning and reflect the same
diagnoses as the ICD-9-CM code, we require the patient's IRF-PAI record
to have all of the relevant combination of ICD-10-CM codes present to
reflect the condition on the list. If only one of the ICD-10-CM codes
that is required to reflect the condition on the list is included on
the IRF-PAI, then the record will not accurately reflect the same
diagnoses as the ICD-9-CM code. We note that, in some cases, IRFs may
need to use a combination of ICD-10-CM codes to represent an Etiologic
Diagnosis on the IRF-PAI form. For this reason, we will add additional
spaces to the Etiologic Diagnosis field (Item 22) on the IRF-
PAI, effective October 1, 2015. The new IRF-PAI form for IRF discharges
occurring on or after October 1, 2015, is available for download from
the CMS Web site at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/InpatientRehabFacPPS/IRFPAI.html.
Seventh Character Extensions in ICD-10-CM--Certain codes
in ICD-10-CM require the use of a seventh character in the code, where
each seventh character of the code has one of the following meanings:
++ The seventh character ``A'' in the code indicates that the
diagnosis is an initial encounter.
++ The seventh character ``D'' in the code indicates that the
patient is receiving aftercare for the injury or illness.
++ The seventh character ``S'' in the code indicates that the
patient no longer requires care for any aspect of the initial injury or
illness itself, but that the patient is receiving care for a late
effect of the injury or illness.
In the IRF PPS context, these seventh character extensions only
apply to ICD-10-CM diagnosis codes related to certain types of
injuries. The corresponding ICD-9-CM diagnosis codes that are currently
listed on the ``List of Comorbidities,'' ``ICD-9-CM Codes That Meet
Presumptive Compliance Criteria,'' and ``Impairment Group Codes That
Meet Presumptive Compliance Criteria'' only map to the seventh
character extensions of ``A'' and ``S,'' but not to the seventh
character extension of ``D,'' using the GEMs tool. Thus, including
codes under ICD-10-CM with the seventh character extension of ``D''
would mean adding conditions to the lists that were not included on the
lists under ICD-9-CM. As we indicated previously, we did not intend to
add, delete, or alter the conditions included on these lists in
transitioning from ICD-9-CM to ICD-10-CM. Thus, we are not including
ICD-10-CM codes with the seventh character extension of ``D'' on the
ICD-10-CM versions of the ``List of Comorbidities,'' ``ICD-9-CM Codes
That Meet Presumptive Compliance Criteria,'' or ``Impairment Group
Codes That Meet Presumptive Compliance Criteria.'' In the IRF context,
we define the patient as having a current diagnosis requiring the use
of the seventh character extension of ``A'' if the patient requires
current treatment for the injury and if the diagnosis has a direct
effect on the patient's rehabilitation therapy program in the IRF.
In addition, ICD-10-CM injury codes specify that traumatic
fractures are coded using the appropriate seventh character extension
for an initial encounter, where each seventh character of the code has
one of the following meanings:
The seventh character ``A'' in the code indicates that the
diagnosis is an initial encounter for closed fracture.
The seventh character ``B'' in the code indicates that the
diagnosis is an initial encounter for open fracture.
The seventh character ``C'' in the code indicates that the
diagnosis is an initial encounter for open fracture type IIIA, IIIB, or
IIIC.
We used the GEMs tool and the guiding rationales described above to
translate the following lists of ICD-9-CM diagnosis codes for the IRF
PPS into lists of ICD-10-CM diagnosis codes:
List of Comorbidities--This file contains the list of
comorbidities (ICD-9-CM codes) that are used to determine placement in
tiers within the IRF Grouper software. Placement in one of the higher-
paying tiers, which is triggered by the presence of one of the
comorbidities on this list, results in a higher prospective payment
amount for the IRF.
ICD-9-CM Codes that Meet Presumptive Compliance Criteria--
This file contains the list of diagnoses (ICD-9-CM codes) that are used
for determining presumptive compliance with the IRF 60 percent rule.
Impairment Group Codes that Meet Presumptive Compliance
Criteria--This file contains the list of IGCs that meet presumptive
compliance criteria for the 60 percent rule. While the IGC codes
themselves are not ICD-9-CM diagnosis codes, the file contains a list
of Etiologic Diagnosis codes (ICD-9-CM codes) that are excluded from
particular IGCs. That is, a given IGC that would otherwise meet the
presumptive compliance criteria will not meet such criteria if the
patient has one of the ``excluded'' Etiologic Diagnoses for that IGC.
The converted ICD-10-CM code tables associated with each of these
lists are available for download from the CMS Web site at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/InpatientRehabFacPPS/Data-Files.html in conjunction with this proposed
rule. We invite public comment on our proposed translation of the lists
into ICD-10-CM, effective when ICD-10-CM becomes the required medical
data code set for use on Medicare claims and IRF-PAI submissions.
XI. Proposed Revisions and Updates to the Quality Reporting Program for
IRFs
A. Background and Statutory Authority
Section 3004(b) of the Affordable Care Act added section 1886(j)(7)
to the Act, which requires the Secretary to implement a quality
reporting program (QRP) for IRFs. This program applies to freestanding
IRF hospitals, as well as IRF units that are affiliated with acute care
facilities, which includes critical access hospitals (CAHs).
Beginning in FY 2014, section 1886(j)(7)(A)(i) of the Act requires
the reduction of the applicable IRF PPS annual increase factor, as
previously modified under section 1886(j)(3)(D) of the Act, by 2
percentage points for any IRF that fails to submit data to the
Secretary in accordance with requirements established by the Secretary
for that fiscal year. Section 1886(j)(7)(A)(ii) of the Act notes that
this reduction may result in the increase factor being less than 0.0
for a fiscal year, and in payment rates under subsection (j) for a
fiscal year being less than such payment rates for the preceding fiscal
year. Any reduction based on failure to comply with the reporting
requirements is, in accordance with section 1886(j)(7)(B) of the Act,
limited to the particular fiscal year involved. The reductions are not
to be cumulative and will not be taken into account in computing the
payment amount under subsection (j) for a subsequent fiscal year.
Section 1886(j)(7)(C) of the Act requires that each IRF submit data
to the Secretary for quality measures specified by the Secretary. The
required quality measure data must be submitted to the Secretary in a
form, manner, and time specified by the Secretary.
The Secretary is generally required to specify measures that have
been endorsed by the entity with a contract under section 1890(a) of
the Act. This contract is currently held by the National Quality Forum
(NQF), which is a voluntary consensus standard-setting organization.
The NQF was established to standardize health care quality measurement
and reporting through its
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consensus development process. Additional information regarding NQF and
its consensus development process is available at https://www.qualityforum.org/Measuring_Performance/Measuring_Performance.aspx.
We have generally adopted NQF-endorsed measures in our reporting
programs. However, section 1886(j)(7)(D)(ii) of the Act provides that
``[i]n the case of a specified area or medical topic determined
appropriate by the Secretary for which a feasible and practical measure
has not been endorsed by the entity with a contract under section
1890(a) [of the Act], the Secretary may specify a measure that is not
so endorsed as long as due consideration is given to measures that have
been endorsed or adopted by a consensus organization identified by the
Secretary.''
Section 1886(j)(7)(E) of the Act requires the Secretary to
establish procedures for making data submitted under the IRF QRP
available to the public. The Secretary must ensure that each IRF is
given the opportunity to review the data that is to be made public
prior to the publication or posting of this data.
We seek to promote higher quality and more efficient health care
for all patients who receive care in acute and post-acute care
settings. Our efforts are, in part, effectuated by quality reporting
programs coupled with the public reporting of data collected under
those programs. The initial framework of the IRF QRP was established in
the FY 2012 IRF PPS final rule (76 FR 47873).
B. Quality Measures Previously Finalized for and Currently Used in the
IRF Quality Reporting Program
1. Measures Finalized in the FY 2012 IRF PPS Final Rule
In the FY 2012 IRF PPS final rule (76 FR 47874 through 47878), we
adopted applications of 2 quality measures for use in the first data
reporting cycle of the IRF QRP: (1) An application of Catheter-
Associated Urinary Tract Infection (CAUTI) for Intensive Care Unit
Patients (NQF0138); and (2) an application of Percent of
Residents with Pressure Ulcers That Are New or Worsened (Short-Stay)
(NQF 0678). We adopted applications of these 2 measures
because neither of them, at the time, was endorsed by the NQF for the
IRF setting. We also discussed our plans to propose a 30-Day All-Cause
Risk-Standardized Post-IRF Discharge Hospital Readmission Measure.
2. Measures Finalized in the CY 2013 OPPS/ASC Final Rule
In the CY 2013 OPPS/ASC final rule (77 FR 68500 through 68507), we
adopted:
Updates to the CAUTI measure to reflect the NQF's
expansion of this quality measure to the IRF setting, replacing our
previous adoption of an application of the quality measure for the IRF
QRP;
A policy that would allow any quality measure adopted for
use in the IRF QRP to remain in effect until the measure was actively
removed, suspended, or replaced (and specifically applied this policy
to the CAUTI and Pressure Ulcer measures that had already been adopted
for use in the IRF QRP); and
A subregulatory process to incorporate NQF updates to IRF
quality measure specifications that do not substantively change the
nature of the measure.
At the time of the CY 2013 OPPS/ASC final rule, the NQF had
endorsed the Pressure Ulcer measure for the IRF setting, and retitled
it to cover both residents and patients within Long-Term Care Hospitals
(LTCH) and IRF settings, in addition to the Nursing Home/Skilled
Nursing Facility setting. Although the quality measure had been
expanded to the IRF setting, we concluded that it was not possible to
adopt the NQF-endorsed measure Percent of Residents or Patients with
Pressure Ulcers That Are New or Worsened (Short-Stay) (NQF
0678) because it is a risk-adjusted measure, and the ``Quality
Indicator'' section of the IRF-PAI did not contain the data elements
that would be needed to calculate a risk-adjusted quality measure. As a
result, we decided to: (1) adopt an application of the Pressure Ulcer
measure that was a non-risk-adjusted Pressure Ulcer measure (numerator
and denominator data only); (2) collect the data required for the
numerator and the denominator using the current version of the IRF-PAI;
(3) delay public reporting of Pressure Ulcer measure results until we
could amend the IRF-PAI to add the data elements necessary for risk-
adjusting the Pressure Ulcer measure, and then (4) adopt the NQF-
endorsed version of the measure covering the IRF setting through
rulemaking (77 FR 68507).
a. National Healthcare Safety Network (NHSN) Catheter Associated
Urinary Tract Infection (CAUTI) Outcome Measure (NQF 0138)
In the CY 2013 OPPS/ASC final rule, we adopted the current version
of NHSN CAUTI Outcome Measure (NQF 0138) (replacing an
application of this measure that we initially adopted in the FY 2012
IRF PPS (76 FR 47874 through 47886)). The NQF-endorsed measure applies
to the FY 2015 adjustments to the IRF PPS annual increase factor and
all subsequent annual increase factors (77 FR 68504 through 68505).
Since the publication of the CY 2013 OPPS/ASC final rule, the NHSN
CAUTI quality measure has not changed, and it remains an active part of
the IRF QRP. Additional information about this measure can be found at
https://www.qualityforum.org/QPS/0138. Our procedures for data
submission for this measure have also remained the same. IRFs should
continue to submit their CAUTI measure data to the Centers for Disease
Control and Prevention (CDC) NHSN. Details regarding submission of IRF
CAUTI data to the NHSN can be found at the NHSN Web site at https://www.cdc.gov/nhsn/inpatient-rehab/.
b. Application of Percent of Residents or Patients With Pressure Ulcers
That Are New or Worsened (Short-Stay) (NQF 0678)
In the CY 2013 OPPS/ASC final rule (77 FR 68500 through 68507), we
adopted a non-risk-adjusted application of this measure using the 2012
version of the IRF-PAI.
3. Measures Finalized in the FY 2014 IRF/PPS Final Rule
For the FY 2016 adjustments to the IRF PPS annual increase factor,
in addition to retaining the previously discussed CAUTI and Pressure
Ulcer measures, we finalized the adoption of one new measure: Influenza
Vaccination Coverage among Healthcare Personnel (NQF 0431) (78
FR 47902 through 47921). In addition, for the FY 2017 adjustments to
the IRF PPS annual increase factor, we adopted three quality measures:
(1) All-Cause Unplanned Readmission Measure for 30 Days Post-Discharge
from Inpatient Rehabilitation Facilities; (2) Percent of Residents or
Patients Who Were Assessed and Appropriately Given the Seasonal
Influenza Vaccine (Short-Stay) (NQF 0680); and (3) the NQF-
endorsed version of Percent of Residents or Patients with Pressure
Ulcers That are New or Worsened (Short-Stay) (NQF 0678).
a. Influenza Vaccination Coverage Among Healthcare Personnel (NQF
0431)
In the FY 2014 IRF PPS final rule (78 FR 47905 through 47906), we
adopted the CDC developed Influenza
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Vaccination Coverage among Healthcare Personnel (NQF 0431)
quality measure that is currently collected by the CDC via the NHSN.
This measure reports on the percentage of IRF health care personnel
(HCP) who receive the influenza vaccination.
In the FY 2014 IRF PPS final rule, we finalized that the Influenza
Vaccination Coverage among Healthcare Personnel (NQF 0431)
measure have its own reporting period to align with the influenza
vaccination season, which is defined by the CDC as October 1 (or when
the vaccine becomes available) through March 31. We further finalized
that IRFs will submit their data for this measure to the NHSN (https://www.cdc.gov/nhsn/). The National Healthcare Safety Network (NHSN) is a
secure Internet-based healthcare-associated infection tracking system
maintained by the CDC and can be utilized by all types of health care
facilities in the United States, including IRFs. The NHSN collects data
via a web-based tool hosted by the CDC. Information on the NHSN system,
including protocols, report forms, and guidance documents, can be found
at https://www.cdc.gov/nhsn/. NHSN will submit the HCP influenza
vaccination adherence percentage data to CMS on behalf of the facility.
We also finalized that for the FY 2016 adjustments to the IRF PPS
annual increase factor, data collection will cover the period from
October 1, 2014 (or when the vaccine becomes available) through March
31, 2015.
Details related to the use of the NHSN for data submission and
information on definitions, numerator data, denominator data, data
analyses, and measure specifications for the Influenza Vaccination
Coverage among Healthcare Personnel (NQF 0431) measure can be
found at https://www.cdc.gov/nhsn/inpatient-rehab/hcp-vacc/.
Because IRFs are already using the NHSN for the submission of CAUTI
measure data, the additional administrative burden related to data
collection and submission for this measure under the IRF QRP should be
minimal.
While IRFs can enter information in NHSN at any point during the
influenza vaccination season for the Influenza Vaccination Coverage
among Healthcare Personnel (NQF 0431) measure, data submission
is only required once per influenza vaccination season, unlike the
CAUTI measure, which is the other quality measure finalized for the IRF
QRP that utilizes the CDC NHSN. We finalized that the final deadline
for data submission associated with this quality measure will be May
15th of each year.
Also, the data collection period for this quality measure is not 12
months, as with other measures, but is approximately 6 months (that is,
October 1, or when the vaccine becomes available, through March 31 of
the following year). This data collection period is applicable only to
Influenza Vaccination Coverage among Healthcare Personnel (NQF
0431), and is not applicable to any other IRF QRP measures,
proposed or adopted, unless explicitly stated. The measure
specifications for this measure can be found at https://www.cdc.gov/nhsn/inpatient-rehab/hcp-vacc/ and at https://www.qualityforum.org/QPS/0431.
b. All-Cause Unplanned Readmission Measure for 30 Days Post-Discharge
From Inpatient Rehabilitation Facilities (NQF 2502, Review
Pending)
In the FY 2014 IRF PPS final rule (78 FR 47906 through 47910), we
adopted an All-Cause Unplanned Readmission Measure for 30 Days Post-
Discharge from Inpatient Rehabilitation Facilities. This quality
measure estimates the risk-standardized rate of unplanned, all-cause
hospital readmissions for cases discharged from an IRF who were
readmitted to a short-stay acute care hospital or LTCH, within 30 days
of an IRF discharge. We noted that this is a claims-based measure that
will not require reporting of new data by IRFs and thus will not be
used to determine IRF reporting compliance for the IRF QRP. Please note
that this measure is not NQF-endorsed, but it was submitted by CMS to
the NQF for review on February 5, 2014 (https://www.qualityforum.org/All-Cause_Admissions_and_Readmissions_Measures.aspx).
c. Percent of Residents or Patients Who Were Assessed and Appropriately
Given the Seasonal Influenza Vaccine (Short-Stay) (NQF 0680)
In the FY 2014 IRF PPS final rule (78 FR 47906 through 47911), we
adopted the Percent of Residents or Patients Who Were Assessed and
Appropriately Given the Seasonal Influenza Vaccine (Short-Stay) (NQF
#0680) measure for the IRF QRP, and we will collect the data for this
measure through the addition of data items to the ``Quality Indicator''
section of the IRF-PAI.
We also added the data elements needed for this measure, as an
influenza data item set, to the ``Quality Indicator'' section of the
IRF-PAI, and data for this measure will be collected using this revised
version of the IRF-PAI. The revised IRF-PAI will become effective on
October 1, 2014. These data elements are harmonized with data elements
(O0250: Influenza Vaccination Status) from the Minimum Data Set (MDS)
3.0 and the LTCH CARE Data Set Version 2.01, and the specifications and
data elements for this measure are available at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/InpatientRehabFacPPS/IRFPAI.html.
For purposes of this quality measure, the influenza vaccination
season takes place from October 1 (or when the vaccine becomes
available) through March 31 each year. The measure calculation and
public reporting of this measure (once public reporting is implemented)
will also be based on the influenza vaccination season, starting on
October 1 (or when the vaccine becomes available) and ending on March
31 of the subsequent year.
The IRF-PAI Training Manual indicates how providers should complete
these items during the time period outside of the vaccination season
(that is, prior to October 1, or when the vaccine becomes available,
and after March 31 of the following year). The measure specifications
for this measure, Percent of Residents or Patients Who Were Assessed
and Appropriately Given the Seasonal Influenza Vaccine (Short-Stay)
(NQF 0680), can be found on the CMS Web site at https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/NursingHomeQualityInits/NHQIQualityMeasures.html.
Additional information on this measure can also be found at https://www.qualityforum.org/QPS/0680.
d. Percent of Residents or Patients With Pressure Ulcers That Are New
or Worsened (Short-Stay) (NQF 0678)--Adoption of the NQF-
Endorsed Version of This Measure
In the FY 2014 IRF PPS final rule (78 FR 47911 through 47912), we
adopted the NQF-endorsed version of the Percent of Residents or
Patients with Pressure Ulcers That Are New or Worsened (Short-Stay)
(NQF 0678), with data collection beginning October 1, 2014,
using the revised version of the IRF-PAI, for quality reporting
affecting the FY 2017 adjustments to the IRF PPS annual increase factor
and subsequent year annual increase factors. We noted in the rule that,
until September 30, 2014, IRFs should continue to submit pressure ulcer
data using the version of the IRF-PAI released on October 1, 2012, for
the purposes of data submission requirements for the FY 2015 and FY
2016 adjustments to the annual IRF PPS increase factor.
In the FY 2014 IRF PPS final rule (78 FR 47912 through 47916), we
also
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adopted a revised version of the IRF-PAI starting October 1, 2014, for
the FY 2017 adjustments to the IRF PPS annual increase factor and
subsequent year annual increase factors.
Table 8--Quality Measures Finalized in the FY 2014 IRF PPS Final Rule
Affecting the FY 2016 and 2017 Adjustments to the IRF Annual Increase
Factors and Subsequent Year Increase Factors
------------------------------------------------------------------------
NQF measure ID Measure title
------------------------------------------------------------------------
NQF 0431........ Influenza Vaccination Coverage among
Healthcare Personnel\+\.
NQF 0680........ Percent of Residents or Patients Who Were
Assessed and Appropriately Given the
Seasonal Influenza Vaccine (Short-Stay).
NQF 0678........ Percent of Residents or Patients with
Pressure Ulcers That Are New or Worsened
(Short-Stay)*--Adoption of the NQF-Endorsed
Version of this Measure.
NQF 2502**...... All-Cause Unplanned Readmission Measure for
30 Days Post-Discharge from Inpatient
Rehabilitation Facilities.
------------------------------------------------------------------------
\+\ Using the CDC NHSN
* Using October 1, 2014, release of the IRF-PAI
** Not NQF-endorsed, CMS submitted for NQF review on February 5, 2014.
C. Proposed New IRF QRP Quality Measures Affecting the FY 2017
Adjustments to the IRF PPS Annual Increase Factor and Beyond General
Considerations Used for Selection of Quality Measures for the IRF QRP
In the FY 2014 IRF PPS final rule (78 FR 47094) we noted that the
successful development of an IRF quality reporting program that
promotes the delivery of high-quality health care services in IRFs is
our paramount concern. We discussed several of the factors we had taken
into account in selecting measures to propose and finalize. We do wish
to note here that, in our measure selection activities for the IRF QRP,
we must take into consideration input we receive from a multi-
stakeholder group, the Measure Applications Partnership (MAP), which is
convened by the NQF as part of a pre-rulemaking process that we have
established and are required to follow under section 1890A of the Act.
The MAP is a public-private partnership comprised of multi-stakeholder
groups convened by the NQF for the primary purpose of providing input
to CMS on the selection of certain categories of quality and efficiency
measures, as required by section 1890A(a)(3) of the Act. By February 1
of each year, the NQF must provide MAP input to CMS. We have taken the
MAP's input into consideration in selecting measures for this rule.
Input from the MAP is located at https://www.qualityforum.org/Publications/2014/01/MAP_Pre-Rulemaking_Report__2014_Recommendations_on_Measures_for_More_than_20_Federal_Programs.aspx. We also take into account national priorities, such as
those established by the National Priorities Partnership (NPP) at
https://www.qualityforum.org/Setting_Priorities/NPP/National_Priorities_Partnership.aspx, the HHS Strategic Plan at https://www.hhs.gov/secretary/about/priorities/priorities.html, the National
Strategy for Quality Improvement in Health Care at https://www.ahrq.gov/workingforquality/nqs/nqs2012annlrpt.pdf, and the CMS Quality Strategy
at https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/QualityInitiativesGenInfo/CMS-Quality-Strategy.html.
To the extent practicable, we have sought to adopt measures that
have been endorsed by a national consensus organization, recommended by
multi-stakeholder organizations, and developed with the input of
providers, purchasers/payers, and other stakeholders.
For the FY 2017 adjustments to the IRF PPS annual increase factor,
in addition to retaining the previously discussed CAUTI, Pressure
Ulcer, Patient Influenza (NQF 0680), Healthcare Personnel
Influenza (NQF 0431), and Hospital Readmission (NQF
2502) quality measures, we propose to adopt two new quality
measures: (1) National Healthcare Safety Network (NHSN) Facility-Wide
Inpatient Hospital-Onset Methicillin-Resistant Staphylococcus aureus
(MRSA) Bacteremia Outcome Measure (NQF 1716), and (2) National
Healthcare Safety Network (NHSN) Facility-Wide Inpatient Hospital-Onset
Clostridium difficile Infection (CDI) Outcome Measure (NQF
1717). These quality measures are discussed in more detail
below.
1. Proposed Quality Measure 1: National Healthcare Safety
Network (NHSN) Facility-Wide Inpatient Hospital-Onset Methicillin-
Resistant Staphylococcus aureus (MRSA) Bacteremia Outcome Measure (NQF
1716)
NHSN Facility-Wide Inpatient Hospital-Onset MRSA Bacteremia Outcome
Measure (NQF 1716) is a measure of hospital-onset unique blood
source MRSA laboratory-identified events among all inpatients in the
facility. This measure was adopted by the Hospital Inpatient Quality
Reporting (IQR) Program in the FY 2012 IPPS/LTCH PPS final rule (76 FR
51630, 51645) for the FY 2015 payment determination, with data
collection beginning on January 1, 2013. It was also adopted by the
LTCH Quality Reporting Program in the FY 2014 IPPS/LTCH PPS final rule
(78 FR 50712 through 50717) for the FY 2017 payment determination, with
data collection beginning on January 1, 2015. This measure was
developed by the CDC and is NQF-endorsed. We included the proposed MRSA
measure in the December 1, 2013, Measures under Consideration (MUC)
list. The MAP conditionally supported the direction of this quality
measure, noting that the measure is not ready for implementation and
suggesting that we harmonize this measure with other infection
measures. We respectfully disagree with the position of the MAP, as the
MRSA measure is fully endorsed by the NQF for various settings,
including the IRF setting, which speaks to its suitability for use in
that setting. Methicillin-resistant Staphylococcus aureus (S. aureus)
infections are caused by a strain of S. aureus bacteria that has become
resistant to antibiotics commonly used to treat S. aureus infections.
Between 2003 and 2004, an estimated 4.1 million persons in the United
States had nasal colonization with MRSA.\1\ In addition, in 2005 there
were an estimated 94,000 invasive MRSA infections in the United States,
which were associated with an estimated 18,000 deaths.\2\ Healthcare-
[[Page 26337]]
associated MRSA infections occur frequently in patients whose treatment
involves the use of invasive devices, such as catheters or ventilators.
---------------------------------------------------------------------------
\1\ Gorwitz RJ, Kruszon-Moran D, McAllister SK, et al. Changes
in the prevalence of nasal colonization with Staphylococcus aureus
in the United States, 2001-2004. J Infect Dis 2008; 197: 1226-34.
\2\ Department of Health and Human Services. National Action
Plan to Prevent Healthcare-Associated Infections: Roadmap to
Elimination. Available at https://www.hhs.gov/ash/initiatives/hai/infection.html.
---------------------------------------------------------------------------
Currently, there are 22 States that have implemented a MRSA
Prevention Collaborative, and at least 15 states that have reporting
mandates for MRSA bacteremia in NHSN.\3\ For Medicare populations, MRSA
infection is associated with increased cost, hospital length of stay,
morbidity, and mortality. MRSA infections can be a consequence of poor
quality of care.4 5 Older adults and patients in health care
settings are most vulnerable to MRSA infections, as these patients may
have weakened immune systems. A recent study reported that 9.2 percent
of patients without a history of MRSA tested positive for MRSA at the
time of the IRF admission.\6\ We also recently analyzed IRF claims
submitted to Medicare during CY 2009. According to our analysis, IRFs
reported a total of 3,464 cases of MRSA in 2009, including cases either
present on admission or acquired during the IRF stay (``present on
admission'' indicators for ICD-9 codes are not available on the IRF
claims) \7\. We believe it is important to collect data on MRSA
infections acquired during the IRF stay, because MRSA infection is
associated with increased cost, hospital length of stay, morbidity, and
mortality.
---------------------------------------------------------------------------
\3\ Centers for Disease Control and Prevention. State Has
Implemented a MRSA Prevention Collaborative. Available at https://www.cdc.gov/hai/stateplans/states-w-MRSA-collaborative.html.
\4\ Centers for Disease Control and Prevention. People at Risk
of Acquiring MRSA Infections. Available at https://www.cdc.gov/mrsa/.
\5\ Centers for Disease Control and Prevention. Management of
Multidrug-Resistant Organisms in Healthcare Settings, 2006.
Available at https://www.cdc.gov/hicpac/pdf/guidelines/MDROGuideline2006.pdf.
\6\ Rabinowitz RP, Kufera JA, Makely MJ. A Hidden Reservoir of
Methicillin-resistant Staphylococcus aureus and Vancomyvin-resistant
Enterococcus in Patients Newly Admitted to an Acute Rehabilitation
Hospital. Physical Medicine & Rehabilitation 2012 (4):18-22.
\7\ Bernard SL, Dalton K, Lenfestey N F, Jarrett NM, Nguyen KH,
Sorensen AV, Thaker S, West ND. Study to support a CMS Report to
Congress: Assess feasibility of extending the hospital-acquired
conditions--present on admission IPPS payment policy to non-IPPS
payment environments. Prepared for the Centers for Medicare &
Medicaid Services (CMS Contract No. HHSM-500-T00007). 2011.
---------------------------------------------------------------------------
We propose to use the CDC/NHSN data collection and submission
framework for reporting of the proposed NHSN Facility-Wide Inpatient
Hospital-Onset MRSA Bacteremia Outcome Measure (NQF 1716).
This is the same framework currently used for reporting the CAUTI (NQF
0138) and Influenza Vaccination Coverage among Healthcare
Personnel (NQF 0431) quality measures. Details related to the
procedures for using the NHSN for data submission and information on
definitions, numerator data, denominator data, data analyses, and
measure specifications for the proposed NHSN Facility-Wide Inpatient
Hospital-Onset MRSA Bacteremia Outcome Measure (NQF 1716) can
be found at https://www.qualityforum.org/QPS/1716 and https://www.cdc.gov/nhsn/inpatient-rehab/mdro-cdi/. For January 2012
through January 2013, an estimated 15 IRFs reported laboratory-
identified MRSA event data into NHSN. We refer readers to section
XI.B.3.a. of this proposed rule for more information on data collection
and submission. We invite public comment on this proposed measure and
on data collection and submission procedures for the proposed measure
for the FY 2017 adjustments to the IRF PPS annual increase factor and
subsequent year increase factors.
2. Proposed Quality Measure 2: National Healthcare Safety
Network (NHSN) Facility-Wide Inpatient Hospital-Onset Clostridium
difficile Infection (CDI) Outcome Measure (NQF 1717)
NHSN Facility-Wide Inpatient Hospital-Onset CDI Outcome Measure
(NQF 1717) is a measure of hospital-onset CDI laboratory-
identified events among all inpatients in the facility. This measure
was adopted by the Hospital IQR Program in the FY 2012 IPPS/LTCH PPS
final rule (76 FR 51630 through 51631) for the FY 2015 payment
determination, with data collection having begun on January 1, 2013. It
was also adopted by the LTCHQR program in the FY 2014 IPPS/LTCH PPS
final rule (78 FR 50712 through 50717) for the FY 2017 payment
determination, with data collection beginning on January 1, 2015. This
measure was developed by the CDC and is NQF-endorsed. We included the
proposed CDI measure in the December 1, 2013, MUC list. The MAP
supported this measure.\8\ CDI can cause a range of serious symptoms,
including diarrhea, serious intestinal conditions, sepsis, and
death.\9\ In the United States, CDI is responsible for an estimated
337,000 infections and 14,000 deaths annually.\10\ According to the HHS
National Action Plan to Prevent Health Care-Associated Infections, CDI
rates have increased in recent years.\11\ The CDC estimates that CDIs
cost more than $1 billion in additional health care costs each
year.\12\ In recent years, CDIs have become more frequent, more severe,
and more difficult to treat. Mortality rates for CDIs are highest in
elderly patients.\13\ Rates of CDI among hospitalized patients aged 65
years and older increased 200 percent between 1996 and 2009, while
deaths related to CDIs increased 400 percent between 2000 and 2007,
partly attributed to a stronger germ strain.14 15 Further,
the emergence and continued rise of CDI as a leading cause of
gastroenteritis hospitalizations and deaths, particularly in the
elderly, has been documented.\16\ CDI is associated with increased
patient care costs, hospital lengths of stay, morbidity, and mortality.
CDI can be a consequence of poor quality of care for Medicare
patients.\17\
---------------------------------------------------------------------------
\8\ National Quality Forum. Measure Applications Partnership
Pre-Rulemaking Report: 2014 Recommendations of Measures Under
Consideration by HHS: February 2014. Available at: https://www.qualityforum.org/Publications/2014/01/MAP_Pre-Rulemaking_Report__2014_Recommendations_on_Measures_for_More_than_20_Federal_Programs.aspx.
\9\ McDonald LC, Coignard B, Dubberke E, et al. Recommendations
for surveillance of Clostridium difficile-associated disease. Infect
Control Hosp Epidemiol 2007;28:140-145. Available at: https://www.jstor.org/stable/pdfplus/10.1086/511798.pdf?acceptTC=true.
\10\ Centers for Disease Control and Prevention. Investigating
Clostridium difficile Infections Across the U.S. Available at https://www.cdc.gov/hai/eip/pdf/Cdiff-factsheet.pdf.
\11\ Department of Health and Human Services. National Action
Plan to Prevent Health Care-Associated Infections: Roadmap to
Elimination. Available at https://www.hhs.gov/ash/initiatives/hai/infection.html.
\12\ Centers for Disease Control and Prevention. Making Health
Care Safer: Stopping C. difficile Infections. Available at: https://www.cdc.gov/VitalSigns/HAI/.
\13\ Centers for Disease Control and Prevention. Investigating
Clostridium difficile Infections Across the U.S. Available at:
https://www.cdc.gov/hai/eip/pdf/Cdiff-factsheet.pdf.
\14\ Centers for Disease Control and Prevention. QuickStats:
Rates of Clostridium difficile Infection Among Hospitalized Patients
Aged >=65 Years,* by Age Group--National Hospital Discharge Survey,
United States, 1996-2009. MMWR, 60(34); 1171. Available at: https://www.cdc.gov/mmwr/preview/mmwrhtml/mm6034a7.htm.
\15\ Centers for Disease Control and Prevention. Making Health
Care Safer: Stopping C. difficile Infections. Available at: https://www.cdc.gov/VitalSigns/HAI/.
\16\ Aron J. Hall, Aaron T. Curns, L. Clifford McDonald, Umesh
D. Parashar, and Ben A. Lopman. The Roles of Clostridium difficile
and Norovirus Among Gastroenteritis-Associated Deaths in the United
States, 1999-2007. Clinical Infectious Diseases 2012;55(2):216-23
Published by Oxford University Press on behalf of the Infectious
Diseases Society of America 2012. DOI: 10.1093/cid/cis386.
\17\ Dubberke ER, Reske KA, Olsen MA, McDonald LC, Fraser VJ.
Short- and long-term attributable costs of Clostridium difficile-
associated disease in nonsurgical inpatients. Clin Infect Dis 2008;
46:497-504. Available at: https://cid.oxfordjournals.org/content/46/4/497.long.
---------------------------------------------------------------------------
Illness from CDI most commonly affects older adults in hospitals or
in facilities with longer lengths of stay, where germs spread more
easily,
[[Page 26338]]
antibiotic use is more common, and people are especially vulnerable to
infection.\18\ Considering CDIs are increasing in all health care
facilities, and the IRF population is highly vulnerable to CDI, it is
important to measure these rates in IRFs.\19\ According to an analysis
of ICD-9 codes reported on Medicare claims, IRFs reported 7,720 cases
of CDI-associated disease in 2009.\20\ Currently, the ``present on
admission'' indicators for ICD-9 codes are not available on IRF claims.
Therefore, we are unable to determine whether the 7,720 reported cases
of CDI were present on admission or acquired during the IRF stay. There
is evidence that CDIs are preventable, and therefore, surveillance and
measuring infection rates is important to reducing infections and
improving patient safety. Thirty-seven states have implemented a C.
difficile Prevention Collaborative, and at least 15 states have
reporting mandates for CDI LabID Events in NHSN.\21\ The goal for this
proposed CDI measure is to collect and publicly report IRF data on CDIs
so that IRFs will be better informed about the incidence of this
condition and better equipped to prevent it.
---------------------------------------------------------------------------
\18\ Centers for Disease Control and Prevention. Frequently
Asked Questions about Clostridium difficile for Healthcare
Providers. Available at: https://www.cdc.gov/HAI/organisms/cdiff/Cdiff_faqs_HCP.html.
\19\ Marciniak C, Chen D, Stein A, et al. Prevalence of
Clostridium Difficile Colonization at Admission to Rehabilitation.
Archives of Physical Medicine and Rehabilitation 2006; 87(8):1086-
1090.
\20\ Bernard SL, Dalton K, Lenfestey N F, Jarrett NM, Nguyen KH,
Sorensen AV, Thaker S, West ND. Study to support a CMS Report to
Congress: Assess feasibility of extending the hospital-acquired
conditions--present on admission IPPS payment policy to non-IPPS
payment environments. Prepared for the Centers for Medicare &
Medicaid Services (CMS Contract No. HHSM-500-T00007). 2011.
\21\ Centers for Disease Control and Prevention. State Has
Implemented a C. diff Prevention Collaborative. Available at: https://www.cdc.gov/hai/stateplans/states-w-CDI-collaborative.html.
---------------------------------------------------------------------------
We propose to use the CDC/NHSN data collection and submission
framework for reporting of the proposed NHSN Facility-Wide Inpatient
Hospital-Onset CDI Outcome Measure (NQF 1717). This framework
is currently used for reporting the CAUTI (NQF 0138) and
Influenza Vaccination Coverage among Healthcare Personnel (NQF
0431) measures. Details related to the procedures for using
the NHSN for data submission and information on definitions, numerator
data, denominator data, data analyses, and measure specifications for
the proposed NHSN Facility-Wide Inpatient Hospital-Onset CDI Outcome
Measure (NQF 1717) can be found at https://www.qualityforum.org/QPS/1717 and https://www.cdc.gov/nhsn/inpatient-rehab/mdro-cdi/. We invite public comment on this proposed
quality measure and on data collection and submission procedures for
the proposed quality measure for the FY 2017 adjustments to the IRF PPS
annual increase factor and subsequent year increase factors.
D. IRF QRP Quality Measures and Concepts Under Consideration for Future
Years
We are considering whether to propose one or more of the quality
measures and quality measure topics listed in Table 9 for future years
in the IRF QRP. We invite public comment on these quality measures and
quality measure topics, specifically comments regarding the clinical
importance of reported measure data, the feasibility of measure data
collection and implementation, current use of reported measure data,
and usefulness of the reported measure data to inform quality of care
delivered to IRF patients.
Table 9--Future Measures and Measure Topics Under Consideration for
Proposal for the IRF Quality Reporting Program
------------------------------------------------------------------------
-------------------------------------------------------------------------
National Quality Strategy Priority: Patient Safety
------------------------------------------------------------------------
Application of Percent of Residents Experiencing One or More Falls with
Major Injury (Long-Stay) (NQF 0674).
------------------------------------------------------------------------
National Quality Strategy Priority: Patient and Caregiver-Centered Care
------------------------------------------------------------------------
Application of Percent of Residents Who Self-Report Moderate to Severe
Pain (Short-Stay) (NQF 0676).
Not Endorsed/Under Development--IRF Functional Outcome Measure: Change
in Mobility Score for Medical Rehabilitation Patients.
Not Endorsed/Under Development--IRF Functional Outcome Measure: Change
in Self-Care Score for Medical Rehabilitation Patients.
Not Endorsed/Under Development--IRF Functional Outcome Measure:
Discharge Mobility Score for Medical Rehabilitation Patients.
Not Endorsed/Under Development--IRF Functional Outcome Measure:
Discharge Self-Care Score for Medical Rehabilitation Patients.
------------------------------------------------------------------------
In particular, we are considering whether to propose one or more of
the following measures for future year IRP PPS increase factors: (1)
IRF Functional Outcome Measure: Change in Mobility Score for Medical
Rehabilitation Patients; (2) IRF Functional Outcome Measure: Change in
Self-Care Score for Medical Rehabilitation Patients; (3) IRF Functional
Outcome Measure: Discharge Mobility Score for Medical Rehabilitation
Patients; (4) IRF Functional Outcome Measure: Discharge Self-Care Score
for Medical Rehabilitation Patients; (5) Application of the Percent of
Residents Experiencing One or More Falls with Major Injury (Long-Stay)
(NQF 0674); and (6) Application of Percent of Residents Who
Self-Report Moderate to Severe Pain (Short-Stay) (NQF 0676).
IRFs are designed to provide intensive rehabilitation services to
patients. Patients seeking care in IRFs are those whose illness,
injury, or condition has resulted in a loss of function, and for whom
rehabilitative care is expected to help regain that function. Examples
of conditions treated in IRFs include stroke, spinal cord injury, hip
fracture, brain injury, neurological disorders, and other diagnoses
characterized by loss of function.
Given that the primary goal of rehabilitation is improvement in
functional status, IRF clinicians have traditionally assessed and
documented patients' functional statuses at admission and discharge to
evaluate the effectiveness of the rehabilitation care provided to
individual patients, as well as the effectiveness of the rehabilitation
unit or hospital overall. In addition, research results have found
differences in IRF patients' functional outcomes, and thus we believe
there is an opportunity for improvement in this area. Differences in
IRF patients' functional outcomes have been found by geographic region,
insurance type, and race/ethnicity after adjusting for key patient
demographic characteristics and admission clinical status. This
supports the need to monitor IRF patients'
[[Page 26339]]
functional outcomes. For example, Reistetter \22\ examined discharge
motor function and functional gain among IRF patients with stroke and
found statistically significant differences in functional outcomes by
U.S. geographic region, by insurance type, and race/ethnicity group
after risk adjustment. O'Brien and colleagues \23\ found differences in
functional outcomes across race/ethnicity groups in their analysis of
Medicare assessment data for patients with stroke after risk
adjustment. O'Brien and colleagues \24\ also noted that the overall IRF
length of stay decreased 1.8 days between 2002 and 2007 and that
shorter IRF stays were significantly associated with lower functioning
at discharge.
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\22\ Reistetter TA, Karmarkar AM, Graham JE, et al. Regional
variation in stroke rehabilitation outcomes. Arch Phys Med
Rehabil.95(1):29-38, Jan. 2014.
\23\ O'Brien SR, Xue Y, Ingersoll G, et al. Shorter length of
stay is associated with worse functional outcomes for medicare
beneficiaries with stroke. Physical Therapy. 93(12):1592-1602, Dec.
2013.
\24\ O'Brien SR, Xue Y, Ingersoll G, et al. Shorter length of
stay is associated with worse functional outcomes for medicare
beneficiaries with stroke. Physical Therapy. 93(12):1592-1602, Dec.
2013.
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We are currently developing 4 functional status quality measures
for the IRF setting:
(1) Quality Measure: IRF Functional Outcome Measure: Change in
Mobility Score for Medical Rehabilitation Patients for Medical
Rehabilitation Patients;
(2) Quality Measure: IRF Functional Outcome Measure: Change in
Self-Care Score for Medical Rehabilitation Patients for Medical
Rehabilitation Patients;
(3) Quality Measure: IRF Functional Outcome Measure: Discharge
Mobility Score for Medical Rehabilitation Patients for Medical
Rehabilitation Patients; and
(4) Quality Measure: IRF Functional Outcome Measure: Discharge
Self-Care Score for Medical Rehabilitation Patients for Medical
Rehabilitation Patients.
We invite public comment on our intent to propose these measures
for the FY 2019 adjustments to the IRF PPS annual increase factor and
subsequent year increase factors. The draft measure specifications for
these measures are posted at https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/IRF-Quality-Reporting/IRF-Quality-Reporting-Program-Details.html. The development of these
measures is expected to be completed in 2014, at which time they will
be submitted to the NQF, the entity with a contract under section
1890(a) of the Act, for review.
E. Proposed Timeline for Data Submission for New IRF QRP Quality
Measures Affecting the FY 2017 Adjustments to the IRF PPS Annual
Increase Factor
We propose the following data submission timeline for the quality
measures that we have proposed for the FY 2017 adjustments to the IRF
PPS annual increase factor. We propose that IRFs would be required to
submit data on admissions and discharges occurring between January 1,
2015, and December 31, 2015 (CY 2015), for the FY 2017 adjustments to
the IRF PPS annual increase factor. We propose this proposed time frame
because we believe this will provide sufficient time for IRFs and CMS
to put processes and procedures in place to meet the additional quality
reporting requirements. Given these measures are collected through the
CDC's NHSN, and IRFs are already familiar with the NHSN reporting
system, as they currently report the CAUTI measure, we believe this
proposed timeframe will allow IRFs ample opportunity to begin reporting
the newly proposed MRSA bacteremia and CDI measures, should they be
finalized. We also propose that the quarterly data submission deadlines
for the FY 2017 adjustments to the IRF PPS annual increase factor occur
approximately 135 days after the end of each quarter, as outlined in
the Table 10. Each quarterly deadline would be the date by which all
data collected during the preceding quarter would be required to be
submitted to us for measures using the IRF-PAI and to the CDC for
measures using the NHSN. We invite public comment on these proposed
timelines for data submission for the proposed IRF QRP quality measures
for the FY 2017 adjustments to the IRF PPS annual increase factor.
TABLE 10--Proposed Timelines for Submission of IRF QRP Quality Data
Using CDC/NSHN for FY 2017 Adjustments to the IRF PPS Annual Increase
Factor: National Health Safety Network (NHSN) Facility-Wide Inpatient
Hospital-Onset Methicillin-Resistant Staphylococcus aureus (MRSA)
Bacteremia Outcome Measure (NQF 1716) and National Healthcare
Safety Network (NHSN) Facility-Wide Inpatient Hospital-Onset Clostridium
difficile Infection
[(CDI) Outcome Measure (NQF 1717)]
------------------------------------------------------------------------
CDC/NHSN data
Quarter collection CDC/NHSN data submission
period deadline
------------------------------------------------------------------------
FY 2017 Increase Factor
------------------------------------------------------------------------
Quarter 1.................. January 1, August 15, 2015.
2015--March
31, 2015.
Quarter 2.................. April 1, 2015-- November 15, 2015.
June 30, 2015.
Quarter 3.................. July 1, 2015-- February 15, 2016.
September 30,
2015.
Quarter 4.................. October 1, May 15, 2016.
2015--December
31, 2015.
------------------------------------------------------------------------
Table 11--Summary of IRF QRP Measures Affecting the FY 2017 Adjustments
to the IRF PPS Annual Increase Factor and Subsequent Year Increase
Factors
------------------------------------------------------------------------
-------------------------------------------------------------------------
Continued IRF QRP Measure Affecting the FY 2015 Adjustments to the IRF
PPS Annual Increase Factor and Subsequent Year Increase Factors:
NQF 0138: National Health Safety Network (NHSN)
Catheter-Associated Urinary Tract Infection (CAUTI) Outcome
Measure\+\
Continued IRF QRP Measure Affecting the FY 2016 Adjustments to the IRF
PPS Annual Increase Factor and Subsequent Year Increase Factors:
NQF 0431: Influenza Vaccination Coverage among
Healthcare Personnel\+\
[[Page 26340]]
Continued IRF QRP Measures Affecting the FY 2017 Adjustments to the IRF
PPS Annual Increase Factor and Subsequent Year Increase Factors:
NQF 2502: All-Cause Unplanned Readmission Measure
for 30 Days Post-Discharge from Inpatient Rehabilitation
Facilities^ **
NQF 0680: Percent of Residents or Patients Who
Were Assessed and Appropriately Given the Seasonal Influenza
Vaccine (Short-Stay)*
NQF 0678: Percent of Residents or Patients with
Pressure Ulcers That Are New or Worsened (Short-Stay)*
New IRF QRP Measures Affecting the FY 2017 Adjustments to the IRF PPS
Annual Increase Factor and Subsequent Year Increase Factors
NQF 1716: National Healthcare Safety Network
(NHSN) Facility-Wide Inpatient Hospital-Onset Methicillin-Resistant
Staphylococcus aureus (MRSA) Bacteremia Outcome Measure
NQF 1717: National Healthcare Safety Network
(NHSN) Facility-Wide Inpatient Hospital-Onset Clostridium difficile
Infection (CDI) Outcome Measure
------------------------------------------------------------------------
+ Using CDC/NHSN.
* Using the IRF-PAI released October 1, 2014.
- Medicare Fee-for-Service claims data.
** Not NQF-endorsed, CMS submitted the measure for NQF review on
February 5, 2014.
F. Proposed Timing for New IRFs To Begin Reporting Quality Data Under
the IRF QRP Affecting the FY 2017 Adjustments to the IRF PPS Annual
Increase Factor and Beyond
For the FY 2017 FY 2017 adjustments to the IRF PPS annual increase
factor and subsequent year increase factors, we propose that new IRFs
be required to begin reporting quality data under the IRF QRP by no
later than the first day of the calendar quarter subsequent to the
quarter in which they have been designated as operating in the CASPER
system. We invite public comment on this proposed timing for new IRFs
to begin reporting quality data under the IRF QRP.
G. Proposed IRF QRP Reconsideration and Appeals Procedures for the FY
2016 Adjustments to the IRF PPS Annual Increase Factor and Beyond
1. IRF QRP Reconsideration and Appeals for the FY 2014 and FY 2015
Adjustments to the IRF PPS Annual Increase Factor
In the FY 2014 IRF PPS final rule (78 FR 47919), we finalized a
voluntary process that allowed IRF providers the opportunity to seek
reconsideration of our initial noncompliance decision for the FY 2014
and FY 2015 adjustments to the IRF PPS annual increase factor. We
stated that we would notify IRFs found to be noncompliant with the IRF
QRP reporting requirements that they may be subject to the 2-percentage
point reduction to their IRF PPS annual increase factor. The purpose of
this notification is to put the IRF on notice of the following: (1)
that the IRF has been identified as being noncompliant with the IRF QRP
reporting requirements for a given reporting period; (2) that the IRF
will be scheduled to receive a 2-percentage point reduction to its IRF
PPS annual increase factor for the applicable fiscal year; (3) that the
IRF may file a request for reconsideration if it believes that the
finding of noncompliance is erroneous, or that if it was noncompliant,
it had a valid and justifiable excuse for this noncompliance; and (4)
that, to receive reconsideration, the IRF must follow a defined process
on how to file a request for reconsideration, which will be described
in the notification. This defined process for filing a request for
reconsideration was described on the CMS Web site at https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/IRF-Quality-Reporting/.
We further stated that upon the conclusion of our review of each
request for reconsideration, we would render a decision. We may reverse
our initial finding of noncompliance if: (1) The IRF provides adequate
proof of full compliance with all IRF QRP reporting requirements during
the reporting period; or (2) the IRF provides adequate proof of a valid
or justifiable excuse for noncompliance if the IRF was not able to
comply with the requirements during the reporting period. We will
uphold our initial finding of noncompliance if the IRF cannot show any
justification for noncompliance.
If an IRF is dissatisfied with either our initial finding of
noncompliance or a CMS decision rendered at the reconsideration level,
it can appeal the decision with the Provider Reimbursement Review Board
(PRRB) under 42 CFR part 405, subpart R. We recommended, however, that
IRF providers submit requests for reconsideration to us before
submitting appeals to the PRRB. We noted that this order of appeals has
had good success under other established quality reporting programs
and, from an IRF perspective, it allows for the opportunity to resolve
issues earlier in the process, when we have dedicated resources to
consider all reconsideration requests before payment changes are
applied to the IRF's annual payment.
2. IRF QRP Program Reconsideration and Appeals Procedures for the FY
2016 Adjustments to the IRF PPS Annual Increase Factor and Beyond
For the FY 2016 adjustments to the IRF PPS annual increase factor
and subsequent year increase factors, we propose to adopt an updated
process, as described below, that will enable an IRF to request a
reconsideration of our initial noncompliance decision in the event that
an IRF believes that it was incorrectly identified as being subject to
the 2-percentage point reduction to its IRF PPS annual increase factor
due to noncompliance with the IRF QRP reporting requirements for a
given reporting period.
For the FY 2016 adjustments to the IRF PPS annual increase factor
and subsequent year increase factors, we propose that an IRF would
receive a notification of noncompliance if we determine that the IRF
did not submit data in accordance with section 1886(j)(7)(C) of the Act
for the applicable fiscal year, and therefore, that the IRF is subject
to a 2-percentage point reduction in the applicable IRF PPS annual
increase factor as required by section 1886(j)(7)(A)(i) of the Act. We
would only consider requests for reconsideration once a provider has
been found to be noncompliant and not before. IRFs would have 30 days
from the date of the initial notification of noncompliance to review
the CMS determination and submit to us a request for reconsideration.
This proposed time frame would allow us to balance our desire to ensure
that IRFs have the opportunity to request reconsideration with our need
to complete the reconsideration process and provide IRFs with our
decision in a timely manner. Notifications of noncompliance and any
subsequent
[[Page 26341]]
notifications from CMS would be sent via a traceable delivery method
such as certified U.S. mail or registered U.S. mail. We would not
accept any requests for reconsideration that are submitted after the
30-day deadline.
We further propose that as part of the IRF's request for
reconsideration, the IRF would be required to submit all supporting
documentation and evidence demonstrating (1) full compliance with all
IRF QRP reporting requirements during the reporting period or (2) a
valid or justifiable excuse for noncompliance if the IRF was not able
to comply with the requirements during the reporting period. We would
be unable to review any reconsideration request that fails to provide
the necessary documentation and evidence along with the request. The
documentation and evidence may include copies of any communications
that demonstrate its compliance with all IRF QRP reporting
requirements, as well as any other records that support the IRF's
rationale for seeking reconsideration. A sample list of the proposed
acceptable supporting documentation and evidence, as well as
instructions for IRF providers to retrieve copies of the data submitted
to CMS for the appropriate program year, can be found on the CMS Web
site at https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/IRF-Quality-Reporting/Reconsideration-and-Disaster-Waiver-Requests.html.
We propose that providers may withdraw reconsideration requests at
any time and may file new requests within the proposed 30-day deadline.
We also propose that, in very limited circumstances, we may extend the
proposed deadline for submitting reconsideration requests. It would be
the responsibility of a provider to request an extension and
demonstrate that extenuating circumstances existed that prevented the
filing of the reconsideration request by the proposed deadline. We
would not respond to any other types of requests, such as requests for
administrative review of the methodology and standards that determine
the quality reporting requirements.
We propose that an IRF provider wishing to request a
reconsideration of our initial noncompliance determination would be
required to do so by submitting an email to the following email
address: IRFQRPReconsiderations@cms.hhs.gov. Any request for
reconsideration submitted to us by an IRF would be required to follow
the guidelines outlined on the CMS Web site at https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/IRF-Quality-Reporting/Reconsideration-and-Disaster-Waiver-Requests.html.
Following receipt of a request for reconsideration, we will
provide--
An email acknowledgment, using the contact information
provided in the reconsideration request, to the CEO or CEO-designated
representative that the request has been received; and
Once we have reached a decision regarding the
reconsideration request, an email to the IRF CEO or CEO-designated
representative, using the contact information provided in the
reconsideration request, regarding our decision.
We propose to require any IRF that believes it was incorrectly
identified as being subject to the 2-percentage point reduction to its
IRF PPS annual increase factor to submit a request for reconsideration
and receive a decision on that request before the IRF can file an
appeal with the PRRB, as authorized by the Administrative Procedure
Act. If the IRF is dissatisfied with the decision rendered at the
reconsideration level, the IRF could appeal the decision with the PRRB
under Sec. 405.1835. We believe this proposed process is more
efficient and less costly for us and for IRFs because it decreases the
number of PRRB appeals by resolving issues earlier in the process.
Additional information about the reconsideration process including
requirements for submitting reconsideration request is posted on the
CMS Web site at https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/IRF-Quality-Reporting/Reconsideration-and-Disaster-Waiver-Requests.html. We invite public comment on the
proposed procedures for reconsideration and appeals.
G. Proposed IRF QRP Data Submission Exception or Extension Requirements
for the FY 2017 Adjustments to the IRF PPS Annual Increase Factor and
Beyond
For the IRF QRP's data submission exception or extension
requirements for the FY 2017 adjustments to the IRF PPS annual increase
factor and subsequent year increase factors, we propose to continue
using the IRF QRP's disaster waiver requirements that were adopted in
the FY 2014 IRF PPS final rule (78 FR 47920) for the FY 2015
adjustments to the IRF PPS annual increase factor and subsequent year
increase factors, which are outlined below, with the exception that the
phrase ``exception or extension'' will be substituted for the word
``waiver.'' We also propose, for the FY 2017 adjustments to the IRF PPS
annual increase factor and subsequent year increase factors, that we
may grant an exception or extension to IRFs if we determine that a
systemic problem with one of our data collection systems directly
affected the ability of the IRF to submit data. Because we do not
anticipate that these types of systemic errors will happen often, we do
not anticipate granting an exception or extension on this proposed
basis frequently. We propose that if we make the determination to grant
an exception or extension, we would communicate this decision through
routine communication channels to IRFs and vendors, including, but not
limited to, issuing memos, emails, and notices on the CMS Web site at
https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/IRF-Quality-Reporting/.
In the FY 2014 IRF PPS final rule (78 FR 47920), we finalized a
process for IRF providers to request and for us to grant exceptions or
extensions for the quality data reporting requirements of the IRF QRP
for one or more quarters, beginning with the FY 2015 adjustments to the
IRF PPS annual increase factor and subsequent year increase factors,
when there are extraordinary circumstances beyond the control of the
provider.
In the event that an IRF seeks to request an exception or extension
for quality reporting purposes, the IRF must request an exception or
extension within 30 days of the occurrence of an extraordinary event by
submitting a written request to CMS via email to the IRF QRP mailbox at
IRFQRPReconsiderations@cms.hhs.gov. Exception or extension requests
sent to us through any other channel will not be considered as a valid
request for an exception or extension from the IRF QRP reporting
requirements for any adjustment to the IRF PPS annual increase factor.
The written request must contain all of the finalized requirements in
the FY 2014 IRF PPS final rule (78 FR 47920) and on the CMS Web site at
https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/IRF-Quality-Reporting/Reconsideration-and-Disaster-Waiver-Requests.html. When an exception or extension is granted, an IRF will
not incur payment reduction penalties for failure to comply with the
requirements of the IRF QRP, for the time frame specified by CMS. If an
IRF is granted an exception, we will not require that the IRF submit
any quality data for a given period of time. If we grant an extension
to an IRF, the IRF will still remain responsible for submitting quality
data collected during
[[Page 26342]]
the time frame in question, although we will specify a revised deadline
by which the IRF must submit this quality data.
It is important to note that requesting an exception or extension
from the requirements of the IRF QRP is separate and distinct from
purpose and requirements of Sec. 412.614, which outline the
requirements to follow if an IRF is requesting a waiver regarding
consequences of failure to submit complete and timely IRF-PAI payment
data specified in that regulation. IRFs that have filed and were
granted an IRF-PAI waiver in accordance with Sec. 412.614 may so
indicate when requesting an exception or extension from the IRF QRP
requirements, but the submission of an IRF-PAI waiver request pursuant
to Sec. 412.614 will not be considered a valid request for an
exception or extension from the IRF QRP requirements. To request an
exception or extension from the IRF QRP requirements, the previously
discussed process must be followed.
Additionally, in the FY 2014 IRF PPS final rule (78 FR 47920), we
finalized a policy that allowed us to grant waivers (which we are
proposing to now call exceptions or extensions) to IRFs that have not
requested them if we determine that an extraordinary circumstance, such
as an act of nature, affects an entire region or locale. We stated that
if this determination was made, we would communicate this decision
through routine communication channels to IRFs and vendors, including,
but not limited to, issuing memos, emails, and notices on the CMS Web
site at https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/IRF-Quality-Reporting/.
We invite public comment on these proposals regarding the IRF QRP's
data submission exception or extension requirements for the FY 2017
adjustments to the IRF PPS annual increase factor and subsequent year
increase factors.
I. Public Display of Quality Measure Data for the IRF QRP
Under section 1886(j)(7)(E) of the Act, the Secretary is required
to establish procedures for making data submitted under the IRF QRP
available to the public. Section 1886(j)(7)(E) of the Act also requires
these procedures to ensure that each IRF provider has the opportunity
to review the data that is to be made public for its facility, prior to
such data being made public. Section 1886(j)(7)(E) of the Act requires
the Secretary to report quality measures that relate to services
furnished in IRFs on the CMS Web site at https://www.cms.hhs.gov/Medicare/Medicare-Fee-for-Service-Payment/InpatientRehabFacPPS/.
Currently, the Agency is developing plans regarding the
implementation of these provisions. We appreciate the need for
transparency into the processes and procedures that will be implemented
to allow for the public reporting of the IRF QRP data and to afford
providers the opportunity to preview that data before it is made
public. At this time, we have not established procedures or timelines
for public reporting of data, but we intend to make the public aware of
our strategy in the future. We welcome public comments on what we
should consider when developing future proposals related to public
reporting.
J. Proposed IRF QRP Data Completion Thresholds for the FY 2016
Adjustments to the IRF PPS Annual Increase Factor and Beyond
Beginning in FY 2014, section 1886(j)(7)(A)(i) of the Act requires
the reduction of the applicable IRF PPS annual increase factor, as
previously modified under section 1886(j)(3)(D) of the Act, by 2
percentage points for any IRF that fails to submit data on quality
measures specified by the Secretary in accordance with the form and
manner specified by the Secretary for that fiscal year. To date, we
have not established a standard for compliance other than that IRF
providers submit all applicable required data for all finalized IRF QRP
quality measures, by the previously finalized quarterly deadlines. We
have also specifically required monthly submission of such quality data
for the healthcare-associated infection or vaccination data, which is
reported to the CDC. In reaction to the input received from our
stakeholders seeking additional specificity related to required IRF QRP
compliance affecting FY annual increase factor determinations and, due
to the importance of ensuring the integrity of quality data submitted
to CMS, we are proposing to set specific IRF QRP thresholds for
completeness of provider quality data beginning with data affecting the
FY 2016 annual increase factor determination and beyond.
1. The CMS IRF QRP, through the FY 2012 IRF PPS final rule, CY 2013
OPPS/ASC final rule, and FY 2014 IRF PPS final rule, requires providers
to submit quality data using 2 separate data collection/submission
mechanisms; measures collected using the quality indicator section of
the IRF-PAI are submitted through the CMS Quality Improvement
Evaluation System (QIES); and measures stewarded by the Centers for
Disease Control and Prevention (CDC) (Healthcare Acquired Infection
(HAI) measures and vaccination measures) are submitted using the CDC's
National Healthcare Safety Network (NHSN). While CMS has also
previously finalized a claims-based measure (All-Cause Unplanned
Readmission Measure for 30 Days Post Discharge from Inpatient
Rehabilitation Facilities), such measures do not require IRFs to
actually submit quality data to CMS, as they are calculated using
claims data submitted to CMS for payment purposes. Thus, with claims-
based measures, there is no quality data to which we could apply the
proposed data completion thresholds. To ensure that IRF providers are
meeting an acceptable standard for completeness of submitted data, we
are proposing that for the FY 2016 annual increase factor and beyond,
IRF providers meet or exceed two separate program thresholds: one
threshold for quality measures data collected using the quality
indicator section of the IRF-PAI and submitted through QIES; and a
second threshold for quality measures data collected and submitted
using the CDC's NHSN. We are proposing that IRFs must meet or exceed
both thresholds discussed below to avoid receiving a 2 percentage point
reduction to their IRF PPS annual increase factor for a given FY
beginning with FY 2016. We are proposing to hold IRF providers
accountable for two different data completion thresholds for each of
the two data submission mechanisms: a 95 percent data completion
threshold for data collected using the quality indicator items on the
IRF-PAI and submitted through QIES; and a 100 percent threshold for
data collected and submitted through the CDC's NHSN. We have chosen to
hold providers to the lower threshold of 95 percent for the quality
indicator items on the IRF-PAI, as there has to be some margin for
error related to IRF patients that have been discharged emergently or
against medical advice, as these situations make it more difficult to
collect and submit the mandatory IRF-PAI quality indicator items at
discharge. We do not believe the same impediments exist for the
infection, vaccination or other quality measures data that IRFs submit
to the CDC's NHSN. Proposed IRF QRP Completion Threshold for the
Required Quality Indicator Data Items on the IRF-PAI
The quality indicator section of the IRF-PAI is composed of data
collection items designed to inform quality measure calculations,
including risk-
[[Page 26343]]
adjustment calculations as well as internal consistency checks for
logical inaccuracies. We propose that beginning with quality data
affecting the FY 2016 IRF PPS annual increase factor and beyond, IRF
providers must meet or exceed a proposed IRF-PAI quality indicator data
completion threshold of 95 percent. We propose to assess the
completeness of submitted data by verifying that, for all IRF-PAI
Assessments submitted by any given IRF, at least 95 percent of those
IRF-PAI Assessments must have 100 percent of the mandatory quality
indicator data items completed where, for the purposes of this proposed
rule, ``completed'' is defined as having provided actual patient data
as opposed to a non-informative response, such as a dash (-), that
indicates the IRF was unable to provide patient data. The proposed
threshold of 95 percent is based on the need for complete records,
which allows appropriate analysis of quality measure data for the
purposes of updating quality measure specifications as they undergo
yearly and triennial measure maintenance reviews with the NQF.
Additionally, complete data is needed to understand the validity and
reliability of quality data items, including risk-adjustment models.
Finally we want to ensure complete quality data from IRF providers,
which will ultimately be reported to the public, allowing our
beneficiaries to gain an understanding of provider performance related
to these quality metrics, and helping them to make informed health care
choices. Our data suggests that the majority of current IRF providers
are in compliance with, or exceeding this proposed threshold already.
However, we take comment on circumstances that might prevent IRFs from
meeting this level of compliance. All items that we propose to require
under the IRF QRP are identified in Chapter 4 of the IRF PAI Training
Manual, which is available for download on the CMS Web site at https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/IRF-Quality-Reporting/?redirect=/IRF-Quality-
Reporting/. We additionally propose that any IRF that does not meet the
proposed requirement that 95 percent of all IRF-PAI assessments
submitted contain 100 percent of all required quality indicator data
items, will be subject to a reduction of 2 percentage points to the
applicable FY IRF PPS annual increase factor beginning with FY 2016. To
establish this program threshold, we analyzed IRF-PAI quality indicator
data item submissions from January 2013 through September 2013, and we
believe that the majority of IRF providers will be able to meet the
proposed 95 percent data completion threshold. It is our intent to
raise this threshold over the next 2 years, through the rulemaking
process. We are proposing that this threshold will have to be met by
IRFs, in addition to the CDC NHSN threshold discussed below, to avoid
receiving a 2 percentage point reduction to the applicable FY IRF PPS
annual increase factor.
2. IRF QRP Data Completion Threshold for Measures Submitted Using the
Centers for Disease Control and Prevention (CDC) National Healthcare
Safety Network (NHSN)
The CMS IRF QRP, through the FY 2012 IRF PPS final rule, CY 2013
OPPS/ASC final rule, and FY 2014 IRF PPS final rule, requires that IRFs
submit CDC-stewarded quality measure data using the CDC's NHSH,
including data for the previously finalized CAUTI and Influenza
Vaccination Coverage Among Healthcare Personnel (HCP) quality measures.
More specifically, we require that IRFs follow CDC quality measure
protocols, which require them to complete all data fields required for
both numerator and denominator data within NHSN, including the ``no
events'' field for any month during which no infection events were
identified. IRFs are required to submit this data on a monthly basis
(except for the HCP measure, which is only required to be reported once
per year). However, IRFs have until the associated quarterly deadline
(135 calendar days beyond the end of each CY quarter) by which to
report infection data to the CDC for each of the 3 months within any
give quarter. For more information on the IRF QRP quarterly deadlines,
we refer you to Table 10 in section XI.E of this proposed rule. We are
proposing that, beginning with FY 2016 IRF PPS annual increase factor
and beyond, this previously finalized requirement for monthly reporting
must be met, in addition to the proposed IRF-PAI quality indicator data
item completion threshold discussed above, to avoid a 2 percentage
point reduction to the applicable FY IRF PPS annual increase factor.
That is, we propose that IRFs must meet a threshold of 100 percent for
measures submitted via the NHSN, achieved by submitting relevant
infection or vaccination data for each month of any given CY, in
addition to meeting the above proposed data item completion threshold
for required quality indicator items on the IRF-PAI. As the IRF QRP
expands and IRFs begin reporting measures that were previously
finalized, but not yet implemented, or newly proposed and finalized
measures, we propose to apply this same threshold.
a. Application of the 2 Percentage Point Reduction for IRF Provider
That Fail To Meet the Above Proposed Data Completion Thresholds
Above we have proposed that IRFs must meet two separate data
completion thresholds to avoid a 2 percentage point reduction to their
applicable FY annual increase factor; a data completion threshold of 95
percent for those mandatory data elements collected using the quality
indicator items on the IRF-PAI and submitted through QIES; and a second
data completion threshold of 100 percent for quality measure data
submitted through the CDC's NHSN. We are proposing that these data
completion thresholds must be met in addition to the below proposed
data accuracy validation threshold of 75 percent, to avoid a 2
percentage point reduction to their applicable FY annual increase
factor. While we propose that IRFs must meet both the proposed data
completion and data accuracy thresholds, IRFs cannot have their
applicable annual increase factor reduced twice. That is, should an IRF
provider fail to meet either one or both of the proposed thresholds,
they will only receive one reduction of 2 percentage points to their
applicable FY annual increase factor.
We invite comment on this proposal.
K. Proposed Data Validation Process for the FY 2017 Adjustments to the
IRF PPS Annual Increase Factor and Beyond
Historically, we have built consistency and internal validation
checks into our data submission specifications to ensure that the basic
elements of the IRF-PAI assessment conform to requirements such as
proper format and facility information. These internal validation
checks are automated and occur during the provider submission process,
and help ensure the integrity of the data submitted by providers by
rejecting submissions or issuing warnings when provider data contain
logical inconsistencies. These edit checks are further outlined in the
Inpatient Rehabilitation Facility-Patient Assessment Instrument Data
Submission Specifications, which are available for download at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/InpatientRehabFacPPS/Software.html.
Validation is intended to provide added assurance of the accuracy
of the data that will be reported to the public
[[Page 26344]]
as required by section 1886(j)(7)(E) of the Act. We propose, for the FY
2016 adjustments to the IRF PPS annual increase factor and subsequent
years, to validate the data submitted for quality purposes. Initially,
for FY 2016 this data accuracy validation will apply only to the
quality indicator items on the IRF-PAI that inform the measure Percent
of Patients or Residents with Pressure Ulcers that are New or Worsened
(NQF 0678), including those mandatory data elements that
inform the measure calculation, as well as those that inform internal
consistency checks for logical inaccuracies. As the IRF QRP expands,
and as IRFs begin to submit additional data using the quality indicator
section of the IRF-PAI, we propose to include those additional data
elements in this validation process. We will inform any such expansion
of this validation process prior to its occurrence through our routine
channels of communication including, but not limited to the IRF QRP Web
site, CMS open door forums, national IRF provider trainings, and the
Medicare Learning Network Newsletter.
We propose to validate the data elements submitted to CMS for
Percent of Residents or Patients with Pressure Ulcers that are New or
Have Worsened (Short-Stay) (NQF 0678) under the IRF QRP by
requesting the minimum chart data necessary to confirm a statistically
valid random sample of 260 providers. From those 260 providers, 5 IRF-
PAI assessments submitted through National Assessment Collection
Database will be randomly selected. In accordance with Sec. 164.512
(d)(1)(iii) of the HIPAA Privacy Rule, we will request from these
providers the specified portions of the 5 Medicare patient charts that
correspond to the randomly selected assessments, which will need to be
copied and submitted via traceable mail to a CMS contractor for
validation. We propose that the specific portions of the 5 beneficiary
charts will be identified in the written request, but may include:
admission and discharge assessments, relevant nursing notes following
the admission, relevant nursing notes preceding the discharge,
physician admission summary and discharge summary, and any Assessment
of Pressure Ulcer Form the facility may utilize. We propose that the
CMS contractor will utilize the portions of the patient charts to
compare that information with the quality data submitted to CMS.
Differences that would affect measure outcomes or measure rates would
be identified and reported to CMS. These differences could include but
are not limited to unreported worsened pressure ulcers.
We propose that all data that has been submitted to the National
Assessment Collection Database under the IRF QRP would be subject to
the data validation process. Specifically, we propose that the
contractor will request copies of the randomly selected medical charts
from each facility via certified mail (or other traceable methods that
require a facility representative to sign for CMS correspondence), and
the facility will have 45 days from the date of the request (as
documented on the request letter) to submit the requested records to
the contractor. If the facility does not comply within 30 days, the
contractor will send a second certified letter to the facility,
reminding the facility that it must return copies of the requested
medical records within 45 calendar days following the date of the
initial contractor medical record request. If the facility still does
not comply, then the contractor will assign a ``zero'' score to each
measure in each missing record. If, however, the facility does comply,
the contractor will review the data submitted by the facility using the
IRF-PAI for the mandatory data elements associated with the Pressure
Ulcer measure, until such time that IRFs begin to submit additional
quality measures that are collected using the quality indicator section
of the IRF-PAI. Initially, this review will consist solely of those
mandatory data elements that inform the pressure ulcer measure
calculations, as well as those that inform checks for logical
inconsistencies. As IRFs begin to report additional finalized measures,
CMS intends to propose expanding this validation process to other such
measures at that time. The contractor will then calculate the
percentage of matching data elements which will constitute a validation
score. Because we would not be validating all records, we would need to
calculate a confidence interval that incorporates a potential sampling
error.
To receive the full FY 2016 IRF annual increase factor, we are
proposing that IRFs in the random sample must attain at least a 75
percent validation score, based upon our validation process, which will
use charts requested from patient assessments submitted for FY 2014. We
will calculate a 95 percent confidence interval associated with the
observed validation score. If the upper bound of this confidence
interval is below the 75 percent cutoff point, we will not consider a
hospital's data to be ``validated'' for payment purposes. For example,
for a provider who submits all 5 of their charts, each with 9 elements,
the provider's score will be based on 45 possible opportunities to
report correctly or incorrectly. If the provider correctly scored on 40
of the 45 elements, then their reliability would be 89 percent (40/45).
The upper bound of the confidence interval takes into account sampling
error and would be higher than this estimated reliability, in this case
96 percent. This number is greater than or equal to 75 percent.
Therefore the provider passes validation. We propose that providers
failing the validation requirements would be subject to a 2 percentage
point reduction to their applicable annual increase factor. In
addition, all providers validated would receive educational feedback,
including specific case details.
L. Application of the 2 Percentage Point Reduction for IRF Providers
That Fail To Meet the Above Proposed Data Accuracy Threshold
Above we have proposed that IRFs must meet a data accuracy
threshold of 75 percent to avoid receiving a 2 percentage point
reduction to their applicable FY annual increase factor. We are
proposing that this proposed data accuracy threshold of 75 percent must
be met in addition to the above proposed data completion thresholds (95
percent for data collected using the quality indicator items on the
IRF-PAI and submitted using QIES, and 100 percent for data submitted
using the CDC's NHSN), to avoid receiving a 2 percentage point
reduction to their applicable FY annual increase factor. While we
propose that IRFs must meet both the proposed data accuracy and data
completion thresholds, IRFs cannot have their applicable annual payment
update reduced twice. That is, should an IRF provider fail to meet
either one or both of the proposed thresholds (data completion and/or
data accuracy), they will only receive one reduction of 2 percentage
points to their applicable FY annual increase factor.
We invite public comment on this proposal and suggestions to
improve the utility of the approach and/or reduce the burden on
facilities.
M. Electronic Health Record and Health Information Exchange
We believe that all patients, their families, and their healthcare
providers should have consistent and timely access to their health
information in a standardized format that can be securely exchanged
between the patient, providers, and others involved in the
[[Page 26345]]
patient's care.\25\ We are committed to accelerating health information
exchange (HIE) through the use of electronic health records (EHRs) and
other types of health information technology (HIT) across the broader
care continuum through a number of initiatives including: (1) Alignment
of incentives and payment adjustments to encourage provider adoption
and optimization of HIT and HIE services through Medicare and Medicaid
payment policies; (2) adoption of common standards and certification
requirements for interoperable HIT; (3) support for privacy and
security of patient information across all HIE-focused initiatives; and
(4) governance of health information networks. These initiatives are
designed to improve care delivery and coordination across the entire
care continuum and encourage HIE among all health care providers,
including professionals and hospitals eligible for the Medicare and
Medicaid EHR Incentive Programs and those who are not eligible for the
EHR Incentive programs. To increase flexibility in the regulations for
certification and expand HIT certification, the Office of the National
Coordinator for Health Information Technology (ONC) has issued a
proposed rule concerning a voluntary 2015 Edition of EHR certification
criteria that would more easily accommodate HIT certification for
technology used in other types of health care settings where individual
or institutional health care providers are not typically eligible for
incentive payments under the EHR Incentive Programs, such as long-term
and post-acute care and behavioral health settings.
---------------------------------------------------------------------------
\25\ The Department of Health & Human Services August 2013
Statement, ``Principles and Strategies for Accelerating Health
Information Exchange.
---------------------------------------------------------------------------
We believe that HIE and the use of certified EHRs by IRFs (and
other providers ineligible for the Medicare and Medicaid EHR Incentive
programs) can effectively and efficiently help providers improve
internal care delivery practices, support management of patient care
across the continuum, and enable the reporting of electronically
specified clinical quality measures (eCQMs). More information on the
identification of EHR certification criteria and development of
standards applicable to IRFs can be found at:
https://healthit.gov/policy-researchers-implementers/standards-and-certification-regulations
https://www.healthit.gov/facas/FACAS/health-it-policy-committee/hitpc-workgroups/certificationadoption
https://wiki.siframework.org/LCC+LTPAC+Care+Transition+SWG
https://wiki.siframework.org/Longitudinal+Coordination+of+Care
We are soliciting feedback during public comment to this FY 2015
IRF PPS proposed rule on the feasibility and desirability of electronic
health record adoption and use of HIE in IRFs. We are also interested
in public comment on the need to develop electronic clinical quality
measures, and the benefits and limitations of implementing these
measures for IRF providers.
N. Proposed Method for Applying the Reduction to the FY 2015 IRF
Increase Factor for IRFs That Fail To Meet the Quality Reporting
Requirements
As previously noted, section 1886(j)(7)(A)(i) of the Act requires
the application of a 2-percentage point reduction of the applicable
market basket increase factor for IRFs that fail to comply with the
quality data submission requirements. In compliance with
1886(j)(7)(A)(i) of the Act, we will apply a 2-percentage point
reduction to the applicable FY 2015 market basket increase factor (2.1
percent) in calculating an adjusted FY 2015 standard payment conversion
factor to apply to payments for only those IRFs that failed to comply
with the data submission requirements. As previously noted, application
of the 2-percentage point reduction may result in an update that is
less than 0.0 for a fiscal year and in payment rates for a fiscal year
being less than such payment rates for the preceding fiscal year. Also,
reporting-based reductions to the market basket increase factor will
not be cumulative; they will only apply for the FY involved. Table 12
shows the calculation of the adjusted FY 2015 standard payment
conversion factor that will be used to compute IRF PPS payment rates
for any IRF that failed to meet the quality reporting requirements for
the period from January 1, 2013, through December 31, 2013.
Table 12--Calculations To Determine the Adjusted FY 2015 Standard
Payment Conversion Factor for IRFs That Failed To Meet the Quality
Reporting Requirement
------------------------------------------------------------------------
Explanation for adjustment Calculations
------------------------------------------------------------------------
Standard Payment Conversion Factor for FY 2014....... $14,846
Market Basket Increase Factor for FY 2015 (2.7 X 1.0010
percent), reduced by 0.4 percentage point reduction
for the productivity adjustment as required by
section 1886(j)(3)(C)(ii)(I) of the Act, reduced by
0.2 percentage point in accordance with sections
1886(j)(3)(C) and (D) of the Act and further reduced
by 2 percentage points for IRFs that failed to meet
the quality reporting requirement...................
Budget Neutrality Factor for the Wage Index and Labor- X 1.0018
Related Share.......................................
Budget Neutrality Factor for the Revisions to the CMG X 1.0000
Relative Weights....................................
Proposed Adjusted FY 2015 Standard Payment Conversion = $14,888
Factor..............................................
------------------------------------------------------------------------
We invite public comment on the proposed method for applying the
reduction to the FY 2015 IRF increase factor for IRFs that fail to meet
the quality reporting requirements.
XII. Collection of Information Requirements
Under the Paperwork Reduction Act of 1995, we are required to
provide 60 days' notice in the Federal Register and solicit public
comment before a collection of information requirement is submitted to
the Office of Management and Budget (OMB) for review and approval. To
fairly evaluate whether an information collection should be approved by
OMB, section 3506(c)(2)(A) of the Paperwork Reduction Act of 1995
requires that we solicit comment on the following issues:
The need for the information collection and its usefulness
in carrying out the proper functions of our agency.
The accuracy of our estimate of the information collection
burden.
The quality, utility, and clarity of the information to be
collected.
Recommendations to minimize the information collection
burden on the
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affected public, including automated collection techniques.
This proposed rule does not impose any new information collection
requirements as outlined in the regulation text. However, this proposed
rule does [propose changes to] associated information collections that
are not discussed in the regulation text contained in this document.
The following is a discussion of these information collections, some of
which have already received OMB approval.
We are soliciting public comments on each of these issues for the
following sections of this document that contain information collection
requirements (ICRs).
A. ICRs Regarding the IRF QRP
1. Updates to IRF QRP
We propose 2 new measures for use in the IRF QRP that will affect
the increase factor for FY 2017. These quality measures are: National
Healthcare Safety Network (NHSN) Facility-Wide Inpatient Hospital-Onset
Methicillin-Resistant Staphylococcus aureus (MRSA) Bacteremia Outcome
Measure (NQF 1716) and National Healthcare Safety Network
(NHSN) Facility-Wide Inpatient Hospital-Onset Clostridium difficile
Infection (CDI) Outcome Measure (NQF 1717). We propose that
these measures would be collected via the CDC's NHSN data submission
system (https://www.cdc.gov/nhsn/). The NHSN is a secure, Internet-based
healthcare-associated infection tracking system that is maintained and
managed by the CDC.
There are currently approximately 1,140 IRFs in the United States
paid under the IRF PPS that are already required to submit CAUTI data
to the CDC's NHSN. We believe that any burden increase related to
complying with the IRF QRP requirements for submission of the MRSA
bacteremia and CDI measures will be minimal for those IRFs that are
already familiar with the NHSN submission process, for several reasons.
First, these IRFs have already completed the initial setup and have
become familiar with reporting data in the NHSN system due to the
requirement to report the CAUTI measure. Second, due to their
participation in a wide range of mandatory reporting and quality
improvement programs, there are 15 states with mandate for IRFs to
report MRSA bacteremia data and CDI data into the NHSN. The most
significant burden associated with these quality measures is the time
and effort associated with collecting and submitting the data on the
MRSA and CDI measures for IRFs that are not currently reporting any
measures data into the CDC's NHSN system.
Based on submissions to the NHSN, we now estimate that each IRF
will execute approximately 5 NHSN submissions per month: 1 MRSA
bacteremia event, 1 C. difficile event and 3 CAUTI events (60 events
per IRF annually). This equates to a total of approximately 68,400
submissions of events to the NHSN from all IRFs per year. The CDC
estimated the public reporting burden of the collection of information
for each measure to include the time for reviewing instructions,
searching existing data sources, gathering and maintaining the data
needed, and completing and reviewing the collection of information.
MRSA and C. difficile are estimated to be an average of 15 minutes per
response (10 minutes of clinical (registered nurse) time, and 5 minutes
of clerical (Medical Records or Health Information Technician); CAUTI
is estimated to be an average of 29 minutes per response. Each IRF must
also complete a Patient Safety Monthly Reporting Plan estimated at 35
minutes and a Denominator for Specialty Care Area, which is estimated
at 5 hours per month. Based on this estimate, we expect each IRF would
expend 7.53 hours per month reporting to the NHSN. Additionally, each
IRF must submit the Healthcare Worker Vaccination measure, which the
CDC estimates will take 10 minutes of clerical time. Based on this
estimate, we expect each IRF would expend 78.97 clinical hours per year
reporting to the NHSN, or 90,026 hours for all IRFs. According to the
US Bureau of Labor and Statistics, the mean hourly wage for a
registered nurse (RN) is $33.13; the mean hourly wage for a medical
records and health information technician is $16.81. However, to
account for overhead and fringe benefits, we have double the mean
hourly wage, making it $66.26 for an RN and $33.62 for a Medical Record
or Health Information Technician. We estimate that the annual cost per
each IRF would be $5,162.09 and that the total yearly cost to all IRFs
for the submission of data to NHSN would be $5,882,782.60. While the
quality measures previously discussed are subject to the PRA, we
believe that the associated burden is approved under OMB control number
0920-0666, with an expiration date of November, 31, 2016.
In the FY 2014 IRF PPS rule (78 FR 47923 through 47925), we
provided burden estimates for measures adopted in that rule. Updated
Collection of Information Requirements for each of those measures is
described below:
a. All-Cause Unplanned Readmission Measure for 30 Days Post Discharge
From Inpatient Rehabilitation Facilities
As stated in the FY 2014 IRF PPS rule (78 FR 47923 through 47925),
data for this measure will be derived from Medicare claims, and
therefore, will not add any additional reporting burden for IRFs.
b. Percent of Residents or Patients With Pressure Ulcers That Are New
or Have Worsened (Short-Stay) (NQF 0678)
We expect that the admission and discharge pressure ulcer data will
be collected by a clinician such as an RN because the assessment and
staging of pressure ulcers requires a high degree of clinical judgment
and experience. We estimate that it will take approximately 10 minutes
of time by the RN to perform the admission pressure ulcer assessment.
We further estimate that it will take an additional 15 minutes of time
to complete the discharge pressure ulcer assessment.
We estimate that there are 359,000 IRF-PAI submissions per year\3\
and that there are 1,140 IRFs in the U.S. reporting quality data to
CMS. Based on these figures, we estimate that each IRF will submit
approximately 315 IRF-PAIs per year. Assuming that each IRF-PAI
submission requires 25 minutes of time by an RN at an average hourly
wage of $66.26 (including fringe benefits and overhead), to complete
the ``Quality Indicator'' section, the yearly cost to each IRF would be
$8,696.63 and the annualized cost across all IRFs would be
$9,914,158.20.
We also expect that most IRFs will use administrative personnel,
such as a medical secretary or medical data entry clerk, to perform the
task of entering the IRF-PAI pressure ulcer Assessment data. We
estimate that this data entry task will take no more than 3 minutes for
the ``Quality Indicator'' section of each IRF-PAI record or 15.75 hours
for each IRF annually. The average hourly wage for a Medical Records &
Health Information Technician is $33.62 (including fringe benefits and
overhead). Again, as we noted above, there are approximately 359,000
IRF-PAI submissions per year and 1,140 IRFs reporting quality data to
CMS. Given this wage information, the estimated total annual cost
across all reporting IRFs for the time required for entry of pressure
ulcer data into the IRF-PAI by a medical record or health information
technician (including fringe benefits and overhead) is $603,652.80. We
further estimate the average yearly
[[Page 26347]]
cost to each individual IRF to be $529.52.
We estimate that the combined annualized time burden related to the
pressure ulcer data item set for work performed, by the both clinical
and administrative staff, will be 147 hours for each individual IRF and
167,580 hours across all IRFs. The total estimated annualized cost for
collection and submission of pressure ulcer data is $9,226.15 for each
IRF and $10,517,811 across all IRFs. We estimate the cost for each
pressure ulcer submission to be $29.29.
c. Percent of Residents or Patients Who Were Assessed and Appropriately
Given the Seasonal Influenza Vaccine (Short-Stay) (NQF 0680)
IRFs are already required to complete and transmit certain IRF-PAI
data on all Medicare Part A Fee-for-Service and Medicare Part C
(Medicare Advantage) patients to receive payment from Medicare. We
estimate that completion of the Patient Influenza measure data items
will take approximately 5 minutes to complete. The Patient Influenza
item set consists of three data items (for example, questions). Each
item is straightforward and does not require physical assessment of the
patient for completion. We estimate that it will take approximately 0.7
minutes to complete each item, or 2.1 minutes to complete all items
related to the Patient Influenza measure. However, in some cases, the
person completing this item set may need to consult the patient's
medical record to obtain data about the patient's influenza
vaccination. Therefore, we have allotted an additional 1.66 minutes per
item, for a total of 7.1 minutes to complete the Patient Influenza
measure data items.
We have noted above that there are approximately 359,000 IRF-PAIs
completed annually across all 1,140 IRFs that report IRF quality data
to CMS. This breaks down to approximately 315 IRF-PAIs completed by
each IRF yearly. We estimate that the annual time burden for reporting
the Patient Influenza measure data is 42,481 hours across all IRFs in
the U.S. and 37.26 hours for each individual IRF. Again, we have
estimated the mean hourly wage for an RN (including fringe benefits and
overhead) to be $66.26. Taking all of the above information into
consideration, we estimate the annual cost across all IRFs for the
submission of the Patient Influenza measure data to be $2,814,791.06.
We further estimate the cost for each individual IRF to be $2,469.11.
Lastly, we propose to validate data submitted to CMS by requesting
portions of patient's charts be copied and mailed to a CMS validation
contractor. We estimate the size of each section we propose to request
as follows: We anticipate that the first 3 days of nurses notes will be
approximately 15 pages; the last 3 days of nurses notes will be
approximately 10 pages; the physician or physician's assistant's
admission history and physical will be approximately 30 pages; the
physician or physician's assistant's discharge summary will be
approximately 15 pages; nurses admission database is approximately 40
pages; pressure ulcer assessment assessments will be approximately 30
pages; physicians progress notes will be approximately 30 pages;
physicians orders will be approximately 30 pages and lab reports to be
approximately 70 pages. We estimate the total submission to be
approximately 270 pages in length. The FY 2013 IPPS/LTCH PPS final rule
(77 FR 53745) estimates the appropriate cost for chart submission to be
12 cents per page and $4.00 shipping. Two hundred seventy pages at a
rate of $0.12 per page with a $4.00 shipping cost would be $36.40 per
chart. We propose that 260 providers will be randomly selected for
validation, and we propose to request 5 charts from each selected
provider for a total cost of $47,320 for all IRF providers, or $182.00
for any randomly selected IRF provider.
2. Effects of Updates to the IRF QRP
In section XI of this proposed rule, we propose to add 2 new
quality measures to the IRF QRP. These measures include: National
Healthcare Safety Network (NHSN) Facility-Wide Inpatient Hospital-Onset
Methicillin-Resistant Staphylococcus aureus (MRSA) Bacteremia Outcome
Measure (NQF 1716) and National Healthcare Safety Network
(NHSN) Facility-Wide Inpatient Hospital-Onset Clostridium difficile
Infection (CDI) Outcome Measure (NQF 1717). As previously
noted, we estimate that each IRF will execute approximately 2 NHSN
submissions (1 MRSA bacteremia event and 1 C. difficile event) per
month (24 events per IRF annually). This equates to a total of
approximately 27,360 submissions of HAI data to NHSN from all IRFs per
year. We estimate that each NHSN modules for the MRSA and C. difficile
measures will take approximately 15 minutes to complete. This time
estimate consists of 10 minutes of clinical time needed to collect the
clinical data and 5 minutes of clerical time necessary to enter the
data into the NHSN. Based on this estimate, we expect each IRF will
expend 8 clinical hours and 4 clerical hours for a total of 12 hours
per year reporting to NHSN for MRSA bacteremia and CDI. The total
estimated annual hourly burden on all IRFs in the United States for
reporting MRSA bacteremia and CDI data to NHSN is 13,680 hours. The
average hourly wage for Medical Records or Health Information
Technicians is $33.62 (including fringe benefits and overhead) and
$66.26 (including fringe benefits and overhead) for a Registered Nurse.
We estimate that the annual cost per each IRF will be $664.56 and the
total yearly cost to all IRFs for the submission of MRSA bacteremia and
CDI data to NHSN will be $757,598.40.
B. ICRs Regarding Individual, Group, and Co-Treatment Therapy Data on
the IRF-PAI
As stated in section VIII of this proposed rule, we are proposing a
new Therapy Information Section for the IRF-PAI that will require IRF
providers to submit data regarding the amount and mode (that is,
Individual, Group, and Co-Treatment) of therapy that patients are
receiving and in which therapy discipline (PT, OT, speech/language)
beginning on October 1, 2015.
Under Medicare's conditions of participation for hospitals that
provide rehabilitation, physical therapy, occupational therapy,
audiology, or speech pathology services at Sec. 482.56, the provision
of care and the personnel qualifications must be in accordance with
national acceptable standards of practice and must also meet the
requirements at Sec. 409.17, according to which IRFs are required to
furnish physical therapy, occupational therapy or speech-language
pathology services under a plan that, among other things,
``[p]rescribes the type, amount, frequency, and duration of the
physical therapy, occupational therapy, or speech-language pathology
services to be furnished to the individual.'' (Such services may also
be furnished under plan requirements specific to the payment policy
under which the services are rendered, if applicable.) In addition, the
IRF coverage requirements at Sec. 412.622(a)(3)(ii), (4), require the
IRF to document that the patient ``[g]enerally requires and can
reasonably be expected to actively participate in, and benefit from, an
intensive rehabilitation therapy program.'' As Medicare already
requires extensive documentation of the type, amount, frequency and
duration of physical therapy, occupational therapy, or speech-language
pathology services furnished to individuals in the IRF setting, we do
not believe that IRFs will incur any additional burden related to
[[Page 26348]]
the collection of the data for the proposed new Therapy Information
Section. In accordance with 5 CFR 1320.3(b)(2), we believe the burden
associated with this requirement is exempt from the PRA as it is a
usual and customary business practice. The time, effort, and financial
resources necessary to comply with this requirement would be incurred
in the course of each IRF conducting its normal business activities.
We anticipate that it will take approximately 4 minutes to retrieve
the therapy data from the patient's medical record and transfer the
required data to the IRF-PAI for submission. We believe this task can
be completed by any clinician in the IRF. To calculate the burden, we
obtained hourly wage rates for social worker assistants, licensed
practical nurses (LPN), recreational therapists, social workers,
dietitians and nutritionists, RN, speech language pathologists,
audiologists, occupational therapists, and physical therapists, all of
whom may complete the IRF-PAI, from the Bureau of Labor Statistics
(https://www.bls.gov/ooh/healthcare/home.htm). The $26.52 rate is a
blend of all of these categories, and reflects the fact that IRF
providers have historically used all of these clinicians for
preparation and coding of the IRF-PAI. However, to account for overhead
and fringe benefits, we double the average rate, making it $53.04. On
average, an IRF submits roughly 300 IRF-PAIs annually and when
multiplied by 4 minutes to complete the proposed new Therapy
Information Section, the total estimated annual hour burden per each
IRF is 20 hours. We estimate the total cost burden to each IRF for
reporting the proposed therapy data will be $1,060 annually. Since
there are a total of 1,140 IRFs, we estimate the total burden cost
across all IRFs for submitting therapy data is $1.2 million.
We will be submitting a revision of the IRF-PAI information
collection request currently approved under OMB control number 0938-
0842.
If you comment on these information collection and recordkeeping
requirements, please submit your comments electronically as specified
in the ADDRESSES section of this proposed rule.
XIII. Response to Public Comments
Because of the large number of public comments we normally receive
on Federal Register documents, we are not able to acknowledge or
respond to them individually. We will consider all comments we receive
by the date and time specified in the DATES section of this preamble,
and, when we proceed with a subsequent document, we will respond to the
comments in the preamble to that document.
XIV. Regulatory Impact Analysis
A. Statement of Need
This proposed rule updates the IRF prospective payment rates for FY
2015 as required under section 1886(j)(3)(C) of the Act. It responds to
section 1886(j)(5) of the Act, which requires the Secretary to publish
in the Federal Register on or before the August 1 that precedes the
start of each fiscal year, the classification and weighting factors for
the IRF PPS's case-mix groups and a description of the methodology and
data used in computing the prospective payment rates for that fiscal
year.
This proposed rule implements sections 1886(j)(3)(C) and (D) of the
Act. Section 1886(j)(3)(C)(ii)(I) of the Act requires the Secretary to
apply a multi-factor productivity adjustment to the market basket
increase factor, and to apply other adjustments as defined by the Act.
The productivity adjustment applies to FYs from 2012 forward. The other
adjustments apply to FYs 2010 through 2019.
This proposed rule also adopts some policy changes within the
statutory discretion afforded to the Secretary under section 1886(j) of
the Act. We propose to collect data on the amount and mode (that is,
Individual, Group, and Co-Treatment) of therapy provided in the IRF
setting according to therapy discipline, revise the list of impairment
group codes that presumptively meet the 60 percent rule compliance
criteria, provide for a new item on the IRF-PAI form to indicate
whether the prior treatment and severity requirements have been met for
arthritis cases, and revise and update quality measures and reporting
requirements under the IRF quality reporting program. In this proposed
rule, we also address the implementation of the International
Classification of Diseases, 10th Revision, Clinical Modification (ICD-
10-CM) for the IRF prospective payment system (PPS), effective when
ICD-10-CM becomes the required medical data code set for use on
Medicare claims and IRF-PAI submissions.
B. Overall Impacts
We have examined the impacts of this proposed rule as required by
Executive Order 12866 (September 30, 1993, Regulatory Planning and
Review), Executive Order 13563 on Improving Regulation and Regulatory
Review (January 18, 2011), the Regulatory Flexibility Act (September
19, 1980, Pub. L. 96-354) (RFA), section 1102(b) of the Act, section
202 of the Unfunded Mandates Reform Act of 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). Executive
Order 13563 emphasizes the importance of quantifying both costs and
benefits, of reducing costs, of harmonizing rules, and of promoting
flexibility. A regulatory impact analysis (RIA) must be prepared for a
major proposed rule with economically significant effects ($100 million
or more in any 1 year). We estimate the total impact of the proposed
policy updates described in this proposed rule by comparing the
estimated payments in FY 2015 with those in FY 2014. This analysis
results in an estimated $160 million increase for FY 2015 IRF PPS
payments. As a result, this proposed rule is designated as economically
``significant'' under section 3(f)(1) of Executive Order 12866, and
hence a major rule under the Congressional Review Act. Also, the rule
has been reviewed by OMB.
The Regulatory Flexibility Act (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. Most IRFs and most
other providers and suppliers are small entities, either by having
revenues of $7 million to $35.5 million or less in any 1 year depending
on industry classification, or by being nonprofit organizations that
are not dominant in their markets. (For details, see the Small Business
Administration's final rule that set forth size standards for health
care industries, at 65 FR 69432 at https://www.sba.gov/sites/default/files/files/Size_Standards_Table.pdf, effective March 26, 2012.)
Because we lack data on individual hospital receipts, we cannot
determine the number of small proprietary IRFs or the proportion of
IRFs' revenue that is derived from Medicare payments. Therefore, we
assume that all IRFs (an approximate total of 1,100 IRFs, of which
approximately 60 percent are nonprofit facilities) are considered small
entities and that Medicare payment constitutes
[[Page 26349]]
the majority of their revenues. The Department of Health and Human
Services generally uses a revenue impact of 3 to 5 percent as a
significance threshold under the RFA. As shown in Table 13, we estimate
that the net revenue impact of this proposed rule on all IRFs is to
increase estimated payments by approximately 2.2 percent. However, we
find that certain categories of IRF providers would be expected to
experience revenue impacts in the 3 percent range. We estimate a 3.8
percent overall impact for four rural IRFs in the Pacific region, and a
3 percent increase for 141 urban IRFs in the Middle Atlantic region and
27 rural IRFs in the West North Central region. As a result, we
anticipate this proposed rule adopts a net positive impact on a
substantial number of small entities. Medicare Administrative
Contractors are not considered to be small entities. Individuals and
States are not included in the definition of a small entity.
In addition, section 1102(b) of the Act requires us to prepare a
regulatory impact analysis if a 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, we define a small rural
hospital as a hospital that is located outside of a Metropolitan
Statistical Area and has fewer than 100 beds. As discussed in detail
below, the rates and policies set forth in this proposed rule will not
have a significant impact (not greater than 3 percent) on rural
hospitals based on the data of the 165 rural units and 17 rural
hospitals in our database of 1,140 IRFs for which data were available.
Section 202 of the Unfunded Mandates Reform Act of 1995 (Pub. L.
104-04, enacted on March 22, 1995) also requires that agencies assess
anticipated costs and benefits before issuing any rule whose mandates
require spending in any 1 year of $100 million in 1995 dollars, updated
annually for inflation. In 2014, that threshold level is approximately
$141 million. This proposed rule will not impose spending costs on
state, local, or tribal governments, in the aggregate, or by the
private sector, of greater than $141 million.
Executive Order 13132 establishes certain requirements that an
agency must meet when it promulgates a final rule that imposes
substantial direct requirement costs on state and local governments,
preempts state law, or otherwise has federalism implications. As stated
above, this proposed rule will not have a substantial effect on state
and local governments, preempt state law, or otherwise have a
federalism implication.
C. Detailed Economic Analysis
1. Basis and Methodology of Estimates
This proposed rule sets forth proposed policy changes and updates
to the IRF PPS rates contained in the FY 2014 IRF PPS final rule (78 FR
47860). Specifically, this proposed rule updates the CMG relative
weights and average length of stay values, the wage index, and the
outlier threshold for high-cost cases. This proposed rule also applies
a MFP adjustment to the FY 2015 RPL market basket increase factor in
accordance with section 1886(j)(3)(C)(ii)(I) of the Act, and a 0.2
percentage point reduction to the FY 2015 RPL market basket increase
factor in accordance with sections 1886(j)(3)(C)(ii)(II) and (D)(iv) of
the Act. Further, this proposed rule proposes additional changes to the
presumptive methodology and additional therapy and quality data
collection that are expected to result in some additional financial
effects on IRFs. In addition, section XI of this rule discusses the
implementation of the required 2 percentage point reduction of the
market basket increase factor for any IRF that fails to meet the IRF
quality reporting requirements, in accordance with section 1886(j)(7)
of the Act.
We estimate that the impact of the proposed changes and updates
described in this proposed rule will be a net estimated increase of
$160 million in payments to IRF providers. This estimate does not
include the estimated impacts of the additional proposed changes to the
presumptive compliance method and the additional therapy and quality
data collection, as discussed in section 8 of this Economic Analysis.
In addition, it does not include the implementation of the required 2
percentage point reduction of the market basket increase factor for any
IRF that fails to meet the IRF quality reporting requirements (as
discussed in section 9 of this Economic Analysis). The impact analysis
in Table 13 of this proposed rule represents the projected effects of
the updates to IRF PPS payments for FY 2015 compared with the estimated
IRF PPS payments in FY 2014. We determine the effects by estimating
payments while holding all other payment variables constant. We use the
best data available, but we do not attempt to predict behavioral
responses to these changes, and we do not make adjustments for future
changes in such variables as number of discharges or case-mix.
We note that certain events may combine to limit the scope or
accuracy of our impact analysis, because such an analysis is future-
oriented and, thus, susceptible to forecasting errors because of other
changes in the forecasted impact time period. Some examples could be
legislative changes made by the Congress to the Medicare program that
would impact program funding, or changes specifically related to IRFs.
Although some of these changes may not necessarily be specific to the
IRF PPS, the nature of the Medicare program is such that the changes
may interact, and the complexity of the interaction of these changes
could make it difficult to predict accurately the full scope of the
impact upon IRFs.
In updating the rates for FY 2015, we are proposing standard annual
revisions described in this proposed rule (for example, the update to
the wage and market basket indexes used to adjust the federal rates).
We are also implementing a productivity adjustment to the FY 2015 RPL
market basket increase factor in accordance with section
1886(j)(3)(C)(ii)(I) of the Act, and a 0.2 percentage point reduction
to the FY 2015 RPL market basket increase factor in accordance with
sections 1886(j)(3)(C)(ii)(II) and (D)(iv) of the Act. We estimate the
total increase in payments to IRFs in FY 2015, relative to FY 2014,
will be approximately $160 million.
This estimate is derived from the application of the FY 2015 RPL
market basket increase factor, as reduced by a productivity adjustment
in accordance with section 1886(j)(3)(C)(ii)(I) of the Act, and a 0.2
percentage point reduction in accordance with sections
1886(j)(3)(C)(ii)(II) and (D)(iv) of the Act, which yields an estimated
increase in aggregate payments to IRFs of $155 million. Furthermore,
there is an additional estimated $5 million increase in aggregate
payments to IRFs due to the proposed update to the outlier threshold
amount. Outlier payments are estimated to increase under this proposal
from approximately 2.9 percent in FY 2014 to 3.0 percent in FY 2015.
Therefore, summed together, we estimate that these updates will result
in a net increase in estimated payments of $160 million from FY 2014 to
FY 2015.
The effects of the proposed updates that impact IRF PPS payment
rates are shown in Table 13. The following proposed updates that affect
the IRF PPS payment rates are discussed separately below:
The effects of the proposed update to the outlier
threshold amount, from approximately 2.9 percent to 3.0 percent of
total estimated payments for FY 2015,
[[Page 26350]]
consistent with section 1886(j)(4) of the Act.
The effects of the proposed annual market basket update
(using the RPL market basket) to IRF PPS payment rates, as required by
section 1886(j)(3)(A)(i) and sections 1886(j)(3)(C) and (D) of the Act,
including a productivity adjustment in accordance with section
1886(j)(3)(C)(i)(I) of the Act, and a 0.2 percentage point reduction in
accordance with sections 1886(j)(3)(C) and (D) of the Act.
The effects of applying the proposed budget-neutral labor-
related share and wage index adjustment, as required under section
1886(j)(6) of the Act.
The effects of the proposed budget-neutral changes to the
CMG relative weights and average length of stay values, under the
authority of section 1886(j)(2)(C)(i) of the Act.
The total change in estimated payments based on the
proposed FY 2015 payment changes relative to the estimated FY 2014
payments.
2. Description of Table 13
Table 13 categorizes IRFs by geographic location, including urban
or rural location, and location for CMS's 9 census divisions (as
defined on the cost report) of the country. In addition, the table
divides IRFs into those that are separate rehabilitation hospitals
(otherwise called freestanding hospitals in this section), those that
are rehabilitation units of a hospital (otherwise called hospital units
in this section), rural or urban facilities, ownership (otherwise
called for-profit, non-profit, and government), by teaching status, and
by disproportionate share patient percentage (DSH PP). The top row of
Table 13 shows the overall impact on the 1,140 IRFs included in the
analysis.
The next 12 rows of Table 13 contain IRFs categorized according to
their geographic location, designation as either a freestanding
hospital or a unit of a hospital, and by type of ownership; all urban,
which is further divided into urban units of a hospital, urban
freestanding hospitals, and by type of ownership; and all rural, which
is further divided into rural units of a hospital, rural freestanding
hospitals, and by type of ownership. There are 958 IRFs located in
urban areas included in our analysis. Among these, there are 731 IRF
units of hospitals located in urban areas and 227 freestanding IRF
hospitals located in urban areas. There are 182 IRFs located in rural
areas included in our analysis. Among these, there are 165 IRF units of
hospitals located in rural areas and 17 freestanding IRF hospitals
located in rural areas. There are 401 for-profit IRFs. Among these,
there are 337 IRFs in urban areas and 64 IRFs in rural areas. There are
670 non-profit IRFs. Among these, there are 564 urban IRFs and 106
rural IRFs. There are 69 government-owned IRFs. Among these, there are
57 urban IRFs and 12 rural IRFs.
The remaining four parts of Table 13 show IRFs grouped by their
geographic location within a region, by teaching status, and by DSH PP.
First, IRFs located in urban areas are categorized for their location
within a particular one of the nine Census geographic regions. Second,
IRFs located in rural areas are categorized for their location within a
particular one of the nine Census geographic regions. In some cases,
especially for rural IRFs located in the New England, Mountain, and
Pacific regions, the number of IRFs represented is small. IRFs are then
grouped by teaching status, including non-teaching IRFs, IRFs with an
intern and resident to average daily census (ADC) ratio less than 10
percent, IRFs with an intern and resident to ADC ratio greater than or
equal to 10 percent and less than or equal to 19 percent, and IRFs with
an intern and resident to ADC ratio greater than 19 percent. Finally,
IRFs are grouped by DSH PP, including IRFs with zero DSH PP, IRFs with
a DSH PP less than 5 percent, IRFs with a DSH PP between 5 and less
than 10 percent, IRFs with a DSH PP between 10 and 20 percent, and IRFs
with a DSH PP greater than 20 percent.
The estimated impacts of each policy described in this proposed
rule to the facility categories listed above are shown in the columns
of Table 13. The description of each column is as follows:
Column (1) shows the facility classification categories
described above.
Column (2) shows the number of IRFs in each category in
our FY 2013 analysis file.
Column (3) shows the number of cases in each category in
our FY 2013 analysis file.
Column (4) shows the estimated effect of the proposed
adjustment to the outlier threshold amount.
Column (5) shows the estimated effect of the proposed
update to the IRF PPS payment rates, which includes a productivity
adjustment in accordance with section 1886(j)(3)(C)(ii)(I) of the Act,
and a 0.2 percentage point reduction in accordance with sections
1886(j)(3)(C)(ii)(II) and (D)(iv) of the Act.
Column (6) shows the estimated effect of the proposed
update to the IRF labor-related share and wage index, in a budget-
neutral manner.
Column (7) shows the estimated effect of the proposed
update to the CMG relative weights and average length of stay values,
in a budget-neutral manner.
Column (8) compares our estimates of the payments per
discharge, incorporating all of the proposed policies reflected in this
proposed rule for FY 2015 to our estimates of payments per discharge in
FY 2014.
The average estimated increase for all IRFs is approximately 2.2
percent. This estimated net increase includes the effects of the
proposed RPL market basket increase factor for FY 2015 of 2.7 percent,
reduced by a productivity adjustment of 0.4 percentage point in
accordance with section 1886(j)(3)(C)(ii)(I) of the Act, and further
reduced by 0.2 percentage point in accordance with sections
1886(j)(3)(C)(ii)(II) and (D)(iv) of the Act. It also includes the
approximate 0.1 percent overall estimated increase in estimated IRF
outlier payments from the proposed update to the outlier threshold
amount. Since we are making the proposed updates to the IRF wage index
and the CMG relative weights in a budget-neutral manner, they will not
be expected to affect total estimated IRF payments in the aggregate.
However, as described in more detail in each section, they will be
expected to affect the estimated distribution of payments among
providers.
[[Page 26351]]
Table 13--IRF Impact Table for FY 2015 (Columns 4-9 in %)
--------------------------------------------------------------------------------------------------------------------------------------------------------
Adjusted
market FY 2015
Number of Number of basket CBSA wage Total
Facility classification IRFs cases Outlier increase index and CMG percent
factor for labor-share change
FY 2015 \1\
(1) (2) (3) (4) (5) (6) (7) (9)
��������������������������������������������������������������------------------------------------------------------------------------------------------
Total........................................................ 1,140 387,651 0.1 2.1 0.0 0.0 2.2
Urban unit................................................... 731 178,428 0.2 2.1 0.1 0.0 2.3
Rural unit................................................... 165 26,350 0.2 2.1 -0.1 0.1 2.3
Urban hospital............................................... 227 177,235 0.0 2.1 0.0 0.0 2.0
Rural hospital............................................... 17 5,638 0.0 2.1 -0.2 0.0 2.0
Urban For-Profit............................................. 337 165,022 0.1 2.1 -0.2 0.0 2.0
Rural For-Profit............................................. 64 12,457 0.1 2.1 -0.2 0.1 2.1
Urban Non-Profit............................................. 564 175,036 0.1 2.1 0.2 0.0 2.4
Rural Non-Profit............................................. 106 17,626 0.2 2.1 0.0 0.1 2.4
Urban Government............................................. 57 15,605 0.1 2.1 -0.1 0.0 2.2
Rural Government............................................. 12 1,905 0.2 2.1 -0.6 0.1 1.9
Urban........................................................ 958 355,663 0.1 2.1 0.0 0.0 2.2
Rural........................................................ 182 31,988 0.1 2.1 -0.1 0.1 2.3
Urban by region:
Urban New England........................................ 30 16,895 0.1 2.1 0.4 -0.1 2.5
Urban Middle Atlantic.................................... 141 58,236 0.1 2.1 0.8 0.0 3.0
Urban South Atlantic..................................... 138 64,527 0.1 2.1 -0.1 -0.1 2.0
Urban East North Central................................. 180 53,150 0.1 2.1 -0.2 0.0 2.0
Urban East South Central................................. 50 24,427 0.1 2.1 -0.5 -0.1 1.6
Urban West North Central................................. 73 18,609 0.1 2.1 -0.4 0.0 1.8
Urban West South Central................................. 173 70,843 0.1 2.1 -0.3 0.1 2.0
Urban Mountain........................................... 72 23,013 0.1 2.1 -0.7 0.0 1.5
Urban Pacific............................................ 101 25,963 0.2 2.1 0.6 0.0 2.9
Rural by region:
Rural New England........................................ 5 1,263 0.1 2.1 0.0 -0.1 2.1
Rural Middle Atlantic.................................... 15 2,550 0.1 2.1 0.5 0.2 2.9
Rural South Atlantic..................................... 24 6,009 0.1 2.1 -0.1 0.1 2.2
Rural East North Central................................. 31 5,224 0.1 2.1 -0.2 0.1 2.1
Rural East South Central................................. 21 3,493 0.1 2.1 -0.2 0.1 2.2
Rural West North Central................................. 27 3,451 0.2 2.1 0.5 0.1 3.0
Rural West South Central................................. 48 8,949 0.1 2.1 -0.4 0.2 1.9
Rural Mountain........................................... 7 667 0.3 2.1 -0.1 0.0 2.4
Rural Pacific............................................ 4 382 0.4 2.1 1.2 0.0 3.8
Teaching Status:
Non-teaching............................................. 1,030 341,633 0.1 2.1 0.0 0.0 2.2
Resident to ADC less than 10%............................ 58 30,509 0.1 2.1 0.3 -0.1 2.4
Resident to ADC 10%-19%.................................. 40 14,166 0.2 2.1 -0.1 -0.1 2.1
Resident to ADC greater than 19%......................... 12 1,343 0.1 2.1 0.1 0.0 2.2
Disproportionate Share Patient Percentage (DSH PP):
DSH PP = 0%.............................................. 42 7,793 0.2 2.1 0.1 0.1 2.5
DSH PP less than 5%...................................... 178 61,772 0.1 2.1 0.1 0.1 2.4
DSH PP 5%-10%............................................ 337 134,924 0.1 2.1 -0.2 0.0 2.1
DSH PP 10%-20%........................................... 359 123,942 0.1 2.1 0.1 0.0 2.3
DSH PP greater than 20%.................................. 224 59,220 0.1 2.1 -0.1 -0.1 2.1
--------------------------------------------------------------------------------------------------------------------------------------------------------
\1\ This column reflects the impact of the RPL market basket increase factor for FY 2015 (2.7 percent), reduced by a 0.4 percentage point reduction for
the productivity adjustment as required by section 1886(j)(3)(C)(ii)(I) of the Act, and reduced by 0.2 percentage points in accordance with paragraphs
1886(j)(3)(C) and (D) of the Act.
3. Impact of the Proposed Update to the Outlier Threshold Amount
The estimated effects of the proposed update to the outlier
threshold adjustment are presented in column 4 of Table 13. In the FY
2014 IRF PPS final rule (78 FR 47860), we used FY 2012 IRF claims data
(the best, most complete data available at that time) to set the
outlier threshold amount for FY 2014 so that estimated outlier payments
would equal 3 percent of total estimated payments for FY 2014.
For this proposed rule, we are updating our analysis using FY 2013
IRF claims data and, based on this updated analysis, we estimate that
IRF outlier payments as a percentage of total estimated IRF payments
are 2.9 percent in FY 2014. Thus, we propose to adjust the outlier
threshold amount in this proposed rule to set total estimated outlier
payments equal to 3 percent of total estimated payments in FY 2015. The
estimated change in total IRF payments for FY 2015, therefore, includes
an approximate 0.1 percent increase in payments because the estimated
outlier portion of total payments is estimated to increase from
approximately 2.9 percent to 3 percent.
The impact of this proposed outlier adjustment update (as shown in
column 4 of Table 13) is to increase estimated overall payments to IRFs
by about 0.1 percent. We estimate the largest increase in payments from
the update to the outlier threshold amount to be 0.4 percent for rural
IRFs in the Pacific region. We do not estimate that any group of IRFs
would experience a
[[Page 26352]]
decrease in payments from this proposed update.
4. Impact of the Proposed Market Basket Update to the IRF PPS Payment
Rates
The estimated effects of the proposed market basket update to the
IRF PPS payment rates are presented in column 5 of Table 13. In the
aggregate the proposed update would result in a net 2.1 percent
increase in overall estimated payments to IRFs. This net increase
reflects the estimated RPL market basket increase factor for FY 2014 of
2.7 percent, reduced by the 0.2 percentage point in accordance with
sections 1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(iv) of the Act, and
further reduced by a 0.4 percentage point productivity adjustment as
required by section 1886(j)(3)(C)(ii)(I) of the Act.
5. Impact of the Proposed CBSA Wage Index and Labor-Related Share
In column 6 of Table 13, we present the effects of the proposed
budget-neutral update of the wage index and labor-related share. The
proposed changes to the wage index and the labor-related share are
discussed together because the wage index is applied to the labor-
related share portion of payments, so the proposed changes in the two
have a combined effect on payments to providers. As discussed in
section V.D. of this proposed rule, we propose to increase the labor-
related share from 69.494 percent in FY 2014 to 69.538 percent in FY
2015.
In the aggregate, since these proposed updates to the wage index
and the labor-related share are applied in a budget-neutral manner as
required under section 1886(j)(6) of the Act, we do not estimate that
these proposed updates would affect overall estimated payments to IRFs.
However, we estimate that these proposed updates would have small
distributional effects. For example, we estimate the largest increase
in payments from the proposed update to the CBSA wage index and labor-
related share of 1.2 percent for rural IRFs in the Pacific region. We
estimate the largest decrease in payments from the update to the CBSA
wage index and labor-related share to be a 0.7 percent decrease for
urban IRFs in the Moumethodntain region.
6. Impact of the Proposed Update to the CMG Relative Weights and
Average Length of Stay Values.
In column 7 of Table 13, we present the effects of the proposed
budget-neutral update of the CMG relative weights and average length of
stay values. In the aggregate, we do not estimate that these updates
will affect overall estimated payments of IRFs. However, we do expect
these updates to have small distributional effects. The largest
estimated increase in payments is a 0.2 percent increase in rural
Middle Atlantic and rural West South Central IRFs. Urban areas in New
England, South Atlantic, and East South Central and rural New England
are estimated to experiences a 0.1 percent decrease in payments due to
the CMG relative weights change.
7. Effects of the Proposed Changes to the Presumptive Compliance Method
for Compliance Review Periods Beginning on or After October 1, 2014
As discussed in section VII. of this proposed rule, we are
proposing some additional changes to the presumptive compliance method
for compliance review periods beginning on or after October 1, 2014. We
do not estimate that the proposed removal of the ``amputation status''
codes will have any significant financial effects on IRFs, as our data
analysis indicates that IRFs are almost never using these codes.
Similarly, we do not estimate that the proposed exclusion of the non-
specific Etiologic Diagnosis codes from the IGCs will have any
significant financial effects on IRFs, as we estimate that IRFs will be
able to switch to using the more specific codes that are available for
the Etiologic Diagnoses instead.
We do, however, believe that there could be a financial effect on
IRFs from the proposed removal of the Unilateral Upper Extremity
Amputations and Arthritis IGCs from the presumptive compliance method,
as the removal of these IGCs from presumptively counting toward meeting
the 60 percent rule compliance threshold could result in more IRFs
failing to meet the requirements solely on the basis of the presumptive
compliance method and being required to be evaluated using the medical
review method. We estimate that these effects would be concentrated in
approximately 10 percent of IRFs that admit a high number of patients
with Unilateral Upper Extremity Amputation and Arthritis conditions,
and that the effects would vary substantially among IRFs. As discussed
in section IX. of this proposed rule, we are proposing an additional
IRF-PAI item for arthritis cases, the purpose of which is to mitigate
some of the financial effects for these IRFs while still allowing
Medicare to ensure that the regulatory requirements are being met.
8. Effects of New Proposed Therapy Information Section
Because the type, amount, frequency, and duration of therapy
provided in IRFs is documented in detail in the IRF medical records as
part of the requirements for meeting Medicare's conditions of
participation and IRF coverage requirements, we estimate that the
additional costs incurred by IRFs for FY 2016 for the new proposed
Therapy Information Section of the IRF-PAI would be based on the 4
additional minutes per IRF-PAI form to transfer the information from
the IRF medical record to the IRF-PAI form. We estimate that this would
result in an additional cost of $1.2 million to all IRFs for FY 2016.
9. Effects of Updates to the IRF QRP
As discussed in section XI.A. of this proposed rule and in
accordance with section 1886(j)(7) of the Act, we will implement a 2
percentage point reduction in the FY 2015 increase factor for IRFs that
have failed to report the required quality reporting data to us during
the most recent IRF quality reporting period. In section XI.A of this
proposed rule, we discuss how the 2 percentage point reduction will be
applied. Only a few IRFs received the 2 percentage point reduction in
the FY 2014 increase factor for failure to report the required quality
reporting data last year, and we would anticipate that even fewer IRFs
will receive the reduction for FY 2015 as they are now more familiar
with the IRF QRP reporting requirements.
In sections XI.K and XI.L of this proposed rule, we discuss our
proposal to adopt a new data completion threshold as well as a new data
accuracy validation policy. While we cannot estimate the increase in
the number of IRFs that will not meet our proposed requirements at this
time, we believe that these proposal, if finalized, may increase the
number of IRFs that receive a 2 percent point reduction to their FY
annual increase factor for FY 2016 and beyond. Thus, we estimate that
this policy will increase impact on overall IRF payments, by increasing
the rate of non-compliance by an estimated 5 percent, for FY 2016 and
beyond, decreasing the number of IRF providers that will receive their
full annual increase factor for FY 2016 and beyond.
In this FY 2015 IRF PPS rule, we proposed to adopt two new quality
measures (MRSA and CDI), as well as a new data accuracy validation
policy. Together, we estimate that these proposals will increase the
cost to all IRF providers by $852,238 annually for
[[Page 26353]]
the cost to each IRF provider by $747.57 annually. This is average
increase of approximately 4.43 percent to all IRF providers over the FY
2014 burden. While we also propose to adopt a data completion threshold
policy, this policy, if finalized, will have no associated cost burden
beyond that discussed in the first paragraph of this section (XIV.C.9).
We intend to closely monitor the effects of this new quality
reporting program on IRF providers and help perpetuate successful
reporting outcomes through ongoing stakeholder education, national
trainings, CMS Open Door Forums, and general and technical help desks.
D. Alternatives Considered
As stated in section XIV.B. of this proposed rule, we estimate that
the proposed changes discussed in the rule would result in a
significant economic impact on IRFs. The overall impact on all IRFs is
an estimated increase in FY 2015 payments of $160 million (2.2
percent), relative to FY 2014. The following is a discussion of the
alternatives considered for the IRF PPS updates contained in this
proposed rule.
Section 1886(j)(3)(C) of the Act requires the Secretary to update
the IRF PPS payment rates by an increase factor that reflects changes
over time in the prices of an appropriate mix of goods and services
included in the covered IRF services. Thus, we did not consider
alternatives to updating payments using the estimated RPL market basket
increase factor for FY 2015. However, as noted previously in this
proposed rule, section 1886(j)(3)(C)(ii)(I) of the Act requires the
Secretary to apply a productivity adjustment to the market basket
increase factor for FY 2015, and sections 1886(j)(3)(C)(ii)(II) and
1886(j)(3)(D)(iv) of the Act require the Secretary to apply a 0.2
percentage point reduction to the market basket increase factor for FY
2015. Thus, in accordance with section 1886(j)(3)(C) of the Act, we
proposed to update IRF federal prospective payments in this proposed
rule by 2.1 percent (which equals the 2.7 percent estimated RPL market
basket increase factor for FY 2015 reduced by 0.2 percentage points,
and further reduced by a 0.4 percentage point productivity adjustment
as required by section 1886(j)(3)(C)(ii)(I) of the Act).
We considered maintaining the existing CMG relative weights and
average length of stay values for FY 2015. However, in light of
recently available data and our desire to ensure that the CMG relative
weights and average length of stay values are as reflective as possible
of recent changes in IRF utilization and case mix, we believe that it
is appropriate to propose to update the CMG relative weights and
average length of stay values at this time to ensure that IRF PPS
payments continue to reflect as accurately as possible the current
costs of care in IRFs.
We considered updating facility-level adjustment factors for FY
2015. However, as discussed in more detail in section IV.B. of this
proposed rule, we believe that freezing the facility-level adjustments
at FY 2014 levels for FY 2015 and all subsequent years (unless and
until the data indicate that they need to be further updated) will
allow us an opportunity to monitor the effects of the substantial
changes to the adjustment factors for FY 2014, and will allow IRFs time
to adjust to last year's changes.
We considered maintaining the existing outlier threshold amount for
FY 2015. However, analysis of updated FY 2013 data indicates that
estimated outlier payments would be lower than 3 percent of total
estimated payments for FY 2015, by approximately 0.1 percent, unless we
updated the outlier threshold amount. Consequently, we propose
adjusting the outlier threshold amount in this proposed rule to reflect
a 0.1 percent increase thereby setting the total outlier payments equal
to 3 percent, instead of 2.9 percent, of aggregate estimated payments
in FY 2015.
We considered not proposing further changes to the presumptive
compliance method in this proposed rule. However, to be consistent with
the changes to the presumptive compliance method that we implemented in
the FY 2014 IRF PPS final rule, and to correct some inadvertent
omissions in last year's final rule, we believe it is important to
propose further changes in this proposed rule.
We considered not proposing the new Therapy Information Section on
the IRF-PAI. However, we believe that it is vitally important for
Medicare to better understand the ways in which therapy services are
currently being provided in IRFs and, most importantly, what we are
paying for with the Medicare spending on IRF services. We encourage
comments on this proposed approach.
E. Accounting Statement
As required by OMB Circular A-4 (available at https://www.whitehouse.gov/sites/default/files/omb/assets/omb/circulars/a004/a-4.pdf), in Table 14, we have prepared an accounting statement showing
the classification of the expenditures associated with the provisions
of this proposed rule. Table 14 provides our best estimate of the
increase in Medicare payments under the IRF PPS as a result of the
proposed updates presented in this proposed rule based on the data for
1,140 IRFs in our database. In addition, Table 14 presents the costs
associated with the proposed new IRF quality reporting program and
therapy reporting requirements for FY 2015.
Table 14--Accounting Statement: Classification of Estimated Expenditures
------------------------------------------------------------------------
------------------------------------------------------------------------
Change in Estimated Transfers from FY 2014 IRF PPS to FY 2015 IRF PPS
------------------------------------------------------------------------
Category Transfers
------------------------------------------------------------------------
Annualized Monetized Transfers......... $160 million.
From Whom to Whom?..................... Federal Government to IRF
Medicare Providers.
------------------------------------------------------------------------
FY 2015 Cost to Updating the Quality Reporting Program:
------------------------------------------------------------------------
Category Costs
------------------------------------------------------------------------
Cost for IRFs to Submit Data for the $852,238.
Quality Reporting Program.
------------------------------------------------------------------------
FY 2016 Cost for Therapy Data Collection
------------------------------------------------------------------------
Category Costs
------------------------------------------------------------------------
Cost for IRFs to Submit Therapy Data $1.2 million.
------------------------------------------------------------------------
[[Page 26354]]
F. Conclusion
Overall, the estimated payments per discharge for IRFs in FY 2015
are projected to increase by 2.2 percent, compared with the estimated
payments in FY 2014, as reflected in column 9 of Table 13. IRF payments
per discharge are estimated to increase by 2.2 percent in urban areas
and by 2.3 percent in rural areas, compared with estimated FY 2014
payments. Payments per discharge to rehabilitation units are estimated
to increase 2.3 percent in urban and rural areas. Payments per
discharge to freestanding rehabilitation hospitals are estimated to
increase 2.0 percent in urban and rural areas.
Overall, IRFs are estimated to experience a net increase in
payments as a result of the proposed policies in proposed rule. The
largest payment increase is estimated to be a 3.8 percent increase for
rural IRFs located in the Pacific region.
Authority: Catalog of Federal Domestic Assistance Program No.
93.773, Medicare--Hospital Insurance; and Program No. 93.774,
Medicare--Supplementary Medical Insurance Program.
Dated: April 16, 2014.
Marilyn Tavenner,
Administrator, Centers for Medicare & Medicaid Services.
Approved: April 17, 2014.
Kathleen Sebelius,
Secretary.
[FR Doc. 2014-10321 Filed 5-1-14; 4:15 pm]
BILLING CODE 4120-01-P