Medicare Program; Inpatient Rehabilitation Facility Prospective Payment System for Federal Fiscal Year 2019, 20972-21015 [2018-08961]
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20972
Federal Register / Vol. 83, No. 89 / Tuesday, May 8, 2018 / Proposed Rules
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Centers for Medicare & Medicaid
Services
42 CFR Part 412
[CMS–1688–P]
RIN 0938–AT25
Medicare Program; Inpatient
Rehabilitation Facility Prospective
Payment System for Federal Fiscal
Year 2019
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) 2019.
As required by the Social Security Act
(the Act), this proposed rule includes
the classification and weighting factors
for the IRF prospective payment
system’s (PPS) case-mix groups and a
description of the methodologies and
data used in computing the prospective
payment rates for FY 2019. We are also
proposing to alleviate administrative
burden for IRFs by removing the
Functional Independence Measure
(FIMTM) instrument and associated
Function Modifiers from the IRF Patient
Assessment Instrument (IRF–PAI) and
revising certain IRF coverage
requirements to reduce the amount of
required paperwork in the IRF setting.
In addition, we are soliciting comments
on removing the face-to-face
requirement for rehabilitation physician
visits and expanding the use of nonphysician practitioners (that is, nurse
practitioners and physician assistants)
in meeting the IRF coverage
requirements. For the IRF Quality
Reporting Program (QRP), we are
proposing to adopt a new measure
removal factor, remove two measures
from the IRF QRP measure set, and
codify in our regulations a number of
requirements.
SUMMARY:
To be assured consideration,
comments must be received at one of
the addresses provided below, not later
than 5 p.m. on June 26, 2018.
ADDRESSES: In commenting, please refer
to file code CMS–1688–P. Because of
staff and resource limitations, we cannot
accept comments by facsimile (FAX)
transmission.
Comments, including mass comment
submissions, must be submitted in one
of the following three ways (please
choose only one of the ways listed):
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DATES:
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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–1688–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–1688–P, Mail
Stop C4–26–05, 7500 Security
Boulevard, Baltimore, MD 21244–1850.
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.
Catie Kraemer, (410) 786–0179, for
information about the proposed
payment policies and payment rates.
Kadie Derby, (410) 786–0468, for
information about the IRF coverage
policies.
Christine Grose, (410) 786–1362, for
information about the quality reporting
program.
SUPPLEMENTARY INFORMATION:
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 as soon as possible
after they have been received at https://
www.regulations.gov. Follow the search
instructions on that website to view
public comments.
The IRF PPS Addenda along with
other supporting documents and tables
referenced in this proposed rule are
available through the internet on the
CMS website at https://
www.cms.hhs.gov/Medicare/MedicareFee-for-Service-Payment/Inpatient
RehabFacPPS/.
To assist readers in referencing
sections contained in this document, we
are providing the following Table of
Contents.
Table of Contents
Executive Summary
A. Purpose
B. Summary of Major Provisions
C. Summary of Impacts
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D. Improving Patient Outcomes and
Reducing Burden Through Meaningful
Measures
I. Background
A. Historical Overview of the IRF PPS
B. Provisions of the PPACA Affecting the
IRF PPS in FY 2012 and Beyond
C. Operational Overview of the Current IRF
PPS
D. Advancing Health Information Exchange
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 2019
IV. Facility-Level Adjustment Factors
V. Proposed FY 2019 IRF PPS Payment
Update
A. Background
B. Proposed FY 2019 Market Basket Update
and Productivity Adjustment
C. Proposed Labor-Related Share for FY
2019
D. Proposed Wage Adjustment for FY 2019
E. Description of the Proposed IRF
Standard Payment Conversion Factor
and Payment Rates for FY 2019
F. Example of the Methodology for
Adjusting the Proposed Prospective
Payment Rates
VI. Proposed Update to Payments for HighCost Outliers Under the IRF PPS for FY
2019
A. Proposed Update to the Outlier
Threshold Amount for FY 2019
B. Proposed Update to the IRF Cost-toCharge Ratio Ceiling and Urban/Rural
Averages for FY 2019
VII. Proposed Removal of the FIMTM
Instrument and Associated Function
Modifiers From the IRF–PAI Beginning
With FY 2020 and Proposed Refinements
to the Case-Mix Classification System
Beginning With FY 2020
A. Proposed Removal of the FIMTM
Instrument and Associated Function
Modifiers From the IRF–PAI Beginning
With FY 2020
B. Proposed Refinements to the Case-Mix
Classification System Beginning With FY
2020
VIII. Proposed Revisions to Certain IRF
Coverage Requirements Beginning With
FY 2019
A. Proposed Changes to the Physician
Supervision Requirement Beginning
With FY 2019
B. Proposed Changes to the
Interdisciplinary Team Meeting
Requirement Beginning With FY 2019
C. Proposed Changes to the Admission
Order Documentation Requirement
Beginning With FY 2019
D. Solicitation of Comments Regarding
Additional Changes to the Physician
Supervision Requirement
E. Solicitation of Comments Regarding
Changes to the Use of Non-Physician
Practitioners in Meeting the
Requirements Under § 412.622(a)(3), (4),
and (5)
IX. Proposed Revisions and Updates to the
IRF Quality Reporting Program (QRP)
A. Background
B. General Considerations Used for
Selection of Measures for the IRF QRP
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C. Proposed New Removal Factor for
Previously Adopted IRF QRP Measures
D. Quality Measures Currently Adopted for
the FY 2020 IRF QRP
E. Proposed Removal of Two IRF QRP
Measures
F. IMPACT Act Implementation Update
G. Form, Manner, and Timing of Data
Submission Under the IRF QRP
H. Proposed Changes to Reconsiderations
Requirements Under the IRF QRP
I. Proposed Policies Regarding Public
Display of Measure Data for the IRF QRP
J. Method for Applying the Reduction to
the FY 2019 IRF Increase Factor for IRFs
That Fail To Meet the Quality Reporting
Requirements
X. Request for Information on Promoting
Interoperability and Electronic
Healthcare Information Exchange
Through Possible Revisions to the CMS
Patient Health and Safety Requirements
for Hospitals and Other Medicare- and
Medicaid-Participating Providers and
Suppliers
XI. Collection of Information Requirements
A. Statutory Requirement for Solicitation
of Comments
B. Collection of Information Requirements
for Updates Related to the IRF PPS
C. Collection of Information Requirements
for Updates Related to the IRF QRP
XII. Response to Public Comments
XIII. Regulatory Impact Analysis
A. Statement of Need
B. Overall Impacts
C. Anticipated Effects
D. Alternatives Considered
E. Regulatory Review Costs
F. Accounting Statement and Table
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G. Conclusion
Regulatory Text
codifying in our regulations a number of
requirements.
Executive Summary
B. Summary of Major Provisions
A. Purpose
This proposed rule would update the
prospective payment rates for IRFs for
FY 2019 (that is, for discharges
occurring on or after October 1, 2018,
and on or before September 30, 2019) as
required under section 1886(j)(3)(C) of
the Act. As required by section
1886(j)(5) of the Act, this rule includes
the classification and weighting factors
for the IRF PPS’s case-mix groups and
a description of the methodologies and
data used in computing the prospective
payment rates for FY 2019. In addition,
this proposed rule would reduce the
regulatory burden for IRFs by removing
data items from the IRF–PAI and
revising certain IRF coverage and
paperwork requirements. In addition,
this proposed rule solicits comments
regarding removing the face-to-face
requirement for rehabilitation physician
visits and expanding the use of nonphysician practitioners (that is, nurse
practitioners and physician assistants)
in meeting the IRF coverage
requirements. We are also proposing to
update the requirements for the IRF
QRP, including adding a new quality
measure removal factor, removing two
measures from the measure set, and
In this proposed rule, we use the
methods described in the FY 2018 IRF
PPS final rule (82 FR 36238) to update
the prospective payment rates for FY
2019 using updated FY 2017 IRF claims
and the most recent available IRF cost
report data, which is FY 2016 IRF cost
report data. (Note: In the interest of
brevity, the rates previously referred to
as the ‘‘Federal prospective payment
rates’’ are now referred to as the
‘‘prospective payment rates’’. No change
in meaning is intended.) We are also
proposing to alleviate administrative
burden for IRFs by removing the FIMTM
instrument and associated Function
Modifiers from the IRF–PAI and
revising certain IRF coverage
requirements to reduce the amount of
required paperwork in the IRF setting.
In addition, we are soliciting comments
on removing the face-to-face
requirement for rehabilitation physician
visits and expanding the use of nonphysician practitioners (that is, nurse
practitioners and physician assistants)
in meeting the IRF coverage
requirements. We are also proposing to
update requirements for the IRF QRP.
C. Summary of Impacts
Provision description
Transfers
FY 2019 IRF PPS payment rate update .............
The overall economic impact of this proposed rule is an estimated $75 million in increased
payments from the Federal government to IRFs during FY 2019.
Provision description
Costs
Removal of FIMTM Items from IRF–PAI .............
The total reduction in costs in FY 2020 for IRFs as a result of the removal of the FIMTM instrument and associated Function Modifiers from the IRF–PAI is estimated to be $10.2 million.
The total reduction in costs in FY 2019 for IRFs as a result of the removal of certain IRF coverage requirements is estimated to be $40.5 million.
The total reduction in costs in FY 2019 for IRFs as a result of the new quality reporting requirements is estimated to be $2.4 million.
Removal of certain IRF coverage requirements
New IRF QRP requirements ...............................
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D. Improving Patient Outcomes and
Reducing Burden Through Meaningful
Measures
Regulatory reform and reducing
regulatory burden are high priorities for
CMS. To reduce the regulatory burden
on the healthcare industry, lower health
care costs, and enhance patient care, in
October 2017, we launched the
Meaningful Measures Initiative.1 This
initiative is one component of our
agency-wide Patients Over Paperwork
1 Meaningful
Measures web page: https://
www.cms.gov/Medicare/Quality-Initiatives-PatientAssessment-Instruments/QualityInitiativesGenInfo/
MMF/General-info-Sub-Page.html.
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Initiative,2 which is aimed at evaluating
and streamlining regulations with a goal
to reduce unnecessary cost and burden,
increase efficiencies, and improve
beneficiary experience. The Meaningful
Measures Initiative is aimed at
identifying the highest priority areas for
quality measurement and quality
improvement in order to assess the core
quality of care issues that are most vital
to advancing our work to improve
patient outcomes. The Meaningful
2 See Remarks by Administrator Seema Verma at
the Health Care Payment Learning and Action
Network (LAN) Fall Summit, as prepared for
delivery on October 30, 2017 https://www.cms.gov/
Newsroom/MediaReleaseDatabase/Fact-sheets/
2017-Fact-Sheet-items/2017-10-30.html.
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Measures Initiative represents a new
approach to quality measures that
fosters operational efficiencies, and will
reduce costs, including collection and
reporting burden while producing
quality measurement that is more
focused on meaningful outcomes.
The Meaningful Measures Framework
has the following objectives:
• Address high-impact measure areas
that safeguard public health;
• Patient-centered and meaningful to
patients;
• Outcome-based where possible;
• Fulfill each program’s statutory
requirements;
• Minimize the level of burden for
health care providers (for example,
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• Address measure needs for
population based payment through
alternative payment models; and
• Align across programs and/or with
other payers.
through a preference for EHR-based
measures where possible, such as
electronic clinical quality measures);
• Significant opportunity for
improvement;
In order to achieve these objectives,
we have identified 19 Meaningful
Measures areas and mapped them to six
overarching quality priorities as shown
in the Table 1:
TABLE 1—MEANINGFUL MEASURES FRAMEWORK DOMAINS AND MEASURE AREAS
Quality priority
Meaningful measure area
Making Care Safer by Reducing Harm Caused in the Delivery of Care
Strengthen Person and Family Engagement as Partners in Their Care
Promote Effective Communication and Coordination of Care .................
Promote Effective Prevention and Treatment of Chronic Disease ..........
Work with Communities to Promote Best Practices of Healthy Living ....
Make Care Affordable ..............................................................................
By including Meaningful Measures in
our programs, we believe that we can
also address the following cross-cutting
measure criteria:
• Eliminating disparities;
• Tracking measurable outcomes and
impact;
• Safeguarding public health;
• Achieving cost savings;
• Improving access for rural
communities; and
• Reducing burden.
We believe that the Meaningful
Measures Initiative will improve
outcomes for patients, their families,
and health care providers while
reducing burden and costs for clinicians
and providers as well as promoting
operational efficiencies.
I. Background
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A. Historical Overview of the 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
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Healthcare-Associated Infections.
Preventable Healthcare Harm.
Care is Personalized and Aligned with Patient’s Goals.
End of Life Care according to Preferences.
Patient’s Experience of Care.
Patient Reported Functional Outcomes.
Medication Management.
Admissions and Readmissions to Hospitals.
Transfer of Health Information and Interoperability.
Preventive Care.
Management of Chronic Conditions.
Prevention, Treatment, and Management of Mental Health.
Prevention and Treatment of Opioid and Substance Use Disorders.
Risk Adjusted Mortality.
Equity of Care.
Community Engagement.
Appropriate Use of Healthcare.
Patient-focused Episode of Care.
Risk Adjusted Total Cost of Care.
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 a general
description of the IRF PPS for FYs 2002
through 2018.
Under the IRF PPS from FY 2002
through FY 2005, the prospective
payment rates were computed across
100 distinct case-mix groups (CMGs), as
described in the FY 2002 IRF PPS final
rule (66 FR 41316). 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 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
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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 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 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
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now consist of 100 percent of the federal
IRF PPS rate.
We established a CMS website as a
primary information resource for the
IRF PPS which is available at https://
www.cms.gov/Medicare/Medicare-Feefor-Service-Payment/Inpatient
RehabFacPPS/. The website
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 was a
market basket reflecting the operating
and capital cost structures for
freestanding IRFs, freestanding inpatient
psychiatric facilities (IPFs), and longterm care hospitals (LTCHs) (hereinafter
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).
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In the FY 2008 IRF PPS final rule (72
FR 44284), we updated the 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 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 prospective
payment rates for each FY. Based on the
legislative change to the increase factor,
we revised the FY 2008 prospective
payment rates for IRF discharges
occurring on or after April 1, 2008.
Thus, the final FY 2008 IRF 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 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 prospective
payment rates are available on the CMS
website 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
prospective payment rates.
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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 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) (formerly called
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 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,
hereinafter referred to as ‘‘PPACA’’),
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
multifactor productivity (MFP)
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 PPACA, 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,
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2010. Thus, the final FY 2010 IRF
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
1, 2009, and on or before March 31,
2010, and the adjusted FY 2010 IRF
prospective payment rates applied to
discharges occurring on or after April 1,
2010, and on or before September 30,
2010. The adjusted FY 2010 prospective
payment rates are available on the CMS
website at https://www.cms.gov/
Medicare/Medicare-Fee-for-ServicePayment/InpatientRehabFacPPS/DataFiles.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 2010 and FY 2011 IRF PPS
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 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
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PPS notice (75 FR 42836 and 75 FR
70013).
In the FY 2012 IRF PPS final rule (76
FR 47836), we updated the IRF
prospective payment rates, rebased and
revised the RPL market basket, and
established a new quality reporting
program (QRP) for IRFs in accordance
with section 1886(j)(7) of the Act. We
also consolidated, clarified, and revised
existing policies regarding IRF hospitals
and IRF units of hospitals to eliminate
unnecessary confusion and enhance
consistency. 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
prospective payment rates.
The FY 2013 IRF PPS notice (77 FR
44618) described the required
adjustments to the FY 2013 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 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 prospective
payment rates, the CMG relative
weights, and the outlier threshold
amount. We also updated the facilitylevel 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
updated requirements for the IRF QRP.
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
prospective payment rates.
In the FY 2015 IRF PPS final rule (79
FR 45872), we updated the prospective
payment rates, the CMG relative
weights, and the outlier threshold
amount. We also 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
IRF–PAI, and updated requirements for
the IRF QRP. For more information on
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the policy changes implemented for FY
2015, please refer to the FY 2015 IRF
PPS final rule (79 FR 45872) and the FY
2015 IRF PPS correction notice (79 FR
59121).
In the FY 2016 IRF PPS final rule (80
FR 47036), we updated the prospective
payment rates, the CMG relative
weights, and the outlier threshold
amount. We also adopted an IRFspecific market basket that reflects the
cost structures of only IRF providers, a
blended 1-year transition wage index
based on the adoption of new OMB area
delineations, a 3-year phase-out of the
rural adjustment for certain IRFs due to
the new OMB area delineations, and
updates for the IRF QRP. For more
information on the policy changes
implemented for FY 2016, please refer
to the FY 2016 IRF PPS final rule (80 FR
47036).
In the FY 2017 IRF PPS final rule (81
FR 52056), we updated the prospective
payment rates, the CMG relative
weights, and the outlier threshold
amount. We also updated requirements
for the IRF QRP. For more information
on the policy changes implemented for
FY 2017, please refer to the FY 2017 IRF
PPS final rule (81 FR 52056) and the FY
2017 IRF PPS correction notice (81 FR
59901).
In the FY 2018 IRF PPS final rule (82
FR 36238), we updated the prospective
payment rates, the CMG relative
weights, and the outlier threshold
amount. We also revised the
International Classification of Diseases,
10th Revision, Clinical Modification
(ICD–10–CM) diagnosis codes that are
used to determine presumptive
compliance under the ‘‘60 percent rule,’’
removed the 25 percent payment
penalty for IRF–PAI late transmissions,
removed the voluntary swallowing
status item (Item 27) from the IRF–PAI,
summarized comments regarding the
criteria used to classify facilities for
payment under the IRF PPS, provided
for a subregulatory process for certain
annual updates to the presumptive
methodology diagnosis code lists,
adopted the use of height/weight items
on the IRF–PAI to determine patient
body mass index (BMI) greater than 50
for cases of single-joint replacement
under the presumptive methodology,
and updated requirements for the IRF
QRP. For more information on the
policy changes implemented for FY
2018, please refer to the FY 2018 IRF
PPS final rule (82 FR 36238).
B. Provisions of the PPACA Affecting
the IRF PPS in FY 2012 and Beyond
The PPACA included several
provisions that affect the IRF PPS in FYs
2012 and beyond. In addition to what
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was previously discussed, section
3401(d) of the PPACA also added
section 1886(j)(3)(C)(ii)(I) of the Act
(providing for a ‘‘productivity
adjustment’’ for fiscal year 2012 and
each subsequent fiscal year). The
productivity adjustment for FY 2019 is
discussed in section V.B. of this
proposed rule. Section 3401(d) of the
PPACA requires an additional 0.75
percentage point adjustment to the IRF
increase factor for each of FYs 2017,
2018, and 2019. The applicable
adjustment for FY 2019 is discussed in
section V.B. of this proposed rule.
Section 1886(j)(3)(C)(ii)(II) of the Act
provides 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.
Sections 3004(b) of the PPACA and
section 411(b) of the Medicare Access
and CHIP Reauthorization Act of 2015
(Pub. L. 114–10, enacted on April 16,
2015) (MACRA) also addressed the IRF
PPS. Section 3004(b) of PPACA
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 QRP for
IRFs. Under that program, data must be
submitted in a form and manner and at
a time specified by the Secretary.
Section 411(b) of MACRA amended
section 1886(j)(3)(C) of the Act by
adding clause (iii), which required us to
apply for FY 2018, after the application
of section 1886(j)(3)(C)(ii) of the Act, an
increase factor of 1.0 percent to update
the IRF prospective payment rates.
Beginning in FY 2014, section
1886(j)(7)(A)(i) of the Act requires the
application of a 2 percentage point
reduction to the market basket increase
factor otherwise applicable to an IRF
(after application of subparagraphs
(C)(iii) and (D) of section 1886(j)(3) of
the Act) for a fiscal year if the IRF does
not comply with the requirements of the
IRF QRP for that fiscal year. 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 are not
cumulative; they only apply for the FY
involved.
C. Operational Overview of the Current
IRF PPS
As described in the FY 2002 IRF PPS
final rule (66 FR 41316), upon the
admission and discharge of a Medicare
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Part A Fee-for-Service (FFS) patient, the
IRF is required to complete the
appropriate sections of a patient
assessment instrument (PAI), designated
as the 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 Advantage (MA) patient, as
described in the FY 2010 IRF PPS final
rule (74 FR 39762 and 74 FR 50712). 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 fivecharacter CMG number. The first
character is an alphabetic character that
indicates the comorbidity tier. The last
four 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 website at https://www.cms.gov/
Medicare/Medicare-Fee-for-ServicePayment/InpatientRehabFacPPS/
Software.html.
Once a Medicare Part A FFS 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 MA patient is
discharged, in accordance with the
Medicare Claims Processing Manual,
chapter 3, section 20.3 (Pub. L. 100–04),
hospitals (including IRFs) must submit
an informational-only bill (Type of Bill
(TOB) 111), which includes Condition
Code 04 to their MAC. This will ensure
that the MA days are included in the
hospital’s Supplemental Security
Income (SSI) ratio (used in calculating
the IRF LIP adjustment) for fiscal year
2007 and beyond. Claims submitted to
Medicare must comply with both ASCA
and HIPAA.
Section 3 of the ASCA amended
section 1862(a) of the Act by adding
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20977
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
the FY 2006 IRF PPS final rule (70 FR
47880).
D. Advancing Health Information
Exchange
The Department of Health and Human
Services (HHS) has a number of
initiatives designed to encourage and
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support the adoption of interoperable
health information technology and to
promote nationwide health information
exchange to improve health care. The
Office of the National Coordinator for
Health Information Technology (ONC)
and CMS work collaboratively to
advance interoperability across settings
of care, including post-acute care.
The Improving Medicare Post-Acute
Care Transformation Act of 2014 (Pub.
L. 113–185) (IMPACT Act) requires
assessment data to be standardized and
interoperable to allow for exchange of
the data among post-acute providers and
other providers. To further
interoperability in post-acute care, CMS
is developing a Data Element Library to
serve as a publically available
centralized, authoritative resource for
standardized data elements and their
associated mappings to health IT
standards. These interoperable data
elements can reduce provider burden by
supporting the use and reuse of
healthcare data, support provider
exchange of electronic health
information for care coordination,
person-centered care, and support realtime, data driven, clinical decision
making. Once available, standards in the
Data Element Library can be referenced
on the CMS website and in the ONC
Interoperability Standards Advisory
(ISA). The 2018 Interoperability
Standards Advisory (ISA) is available at:
https://www.healthit.gov/isa/.
Most recently, the 21st Century Cures
Act (Pub. L. 114–255), enacted in 2016,
requires HHS to take new steps to
enable the electronic sharing of health
information ensuring interoperability
for providers and settings across the
care continuum. Specifically, Congress
directed ONC to ‘‘develop or support a
trusted exchange framework, including
a common agreement among health
information networks nationally.’’ This
framework (https://beta.healthit.gov/
topic/interoperability/trusted-exchangeframework-and-common-agreement)
outlines a common set of principles for
trusted exchange and minimum terms
and conditions for trusted exchange in
order to enable interoperability across
disparate health information networks.
In another important provision,
Congress defined ‘‘information
blocking’’ as practices likely to interfere
with, prevent, or materially discourage
access, exchange, or use of electronic
health information, and established new
authority for HHS to discourage these
practices. We invite providers to learn
more about these important
developments and how they are likely
to affect IRFs.
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II. Summary of Provisions of the
Proposed Rule
In this rule, we propose to update the
IRF prospective payment rates for FY
2019 and to alleviate administrative
burden for IRFs by removing the FIMTM
instrument and associated Function
Modifiers from the IRF–PAI in
accordance with section 1886(j)(2)(D) of
the Act and revising certain IRF
coverage requirements to reduce the
amount of required paperwork in the
IRF setting. In addition, we are
soliciting comments on removing the
face-to-face requirement for
rehabilitation physician visits and
expanding the use of non-physician
practitioners (that is, nurse practitioners
and physician assistants) in meeting the
IRF coverage requirements. For the IRF
QRP, we are proposing to add a new
quality measure removal factor, remove
two quality measures from the measure
set, and codify in our regulations a
number of requirements.
The proposed updates to the IRF
prospective payment rates for FY 2019
are as follows:
• Update the IRF PPS relative weights
and average length of stay values for FY
2019 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.
• Describe the continued use of FY
2014 facility-level adjustment factors, as
discussed in section IV. of this proposed
rule.
• Update the IRF PPS payment rates
for FY 2019 by the proposed market
basket increase factor, based upon the
most current data available, with a 0.75
percentage point reduction as required
by sections 1886(j)(3)(C)(ii)(II) and
1886(j)(3)(D)(v) 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.
• Update the FY 2019 IRF PPS
payment rates by the FY 2019 wage
index and the labor-related share in a
budget-neutral manner, as discussed in
section V. of this proposed rule.
• Describe the calculation of the IRF
standard payment conversion factor for
FY 2019, as discussed in section V. of
this proposed rule.
• Update the outlier threshold
amount for FY 2019, as discussed in
section VI. of this proposed rule.
• Update the cost-to-charge ratio
(CCR) ceiling and urban/rural average
CCRs for FY 2019, as discussed in
section VI. of this proposed rule.
• Remove the FIM TM instrument and
associated Function Modifiers from the
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IRF–PAI beginning with FY 2020 to
reduce administrative burden for IRFs,
as discussed in section VII. of this
proposed rule.
• Revise certain IRF coverage
requirements to reduce administrative
burden for IRFs beginning with FY
2019, as discussed in section VIII. of
this proposed rule.
• Solicit comments on removing the
face-to-face requirement for
rehabilitation physician visits, as
discussed in section VIII. of this
proposed rule.
• Solicit comments on expanding the
use of non-physician practitioners (that
is, nurse practitioners and physician
assistants) in meeting the IRF coverage
requirements, as discussed in section
VIII. of this proposed rule.
• Update the requirements for the IRF
QRP, as discussed in section IX. of this
proposed rule.
III. Proposed Update to the Case-Mix
Group (CMG) Relative Weights and
Average Length of Stay Values for FY
2019
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
2019. 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 2019, we
propose to use the FY 2017 IRF claims
and FY 2016 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 2017 IRF
cost report data are available for
analysis, but the majority of the FY 2017
IRF claims data are available for
analysis.
In this 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
CCR data from the cost reports of IRF
subprovider units of primary acute care
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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 2019
CMG relative weights to the same
average CMG relative weight from the
CMG relative weights implemented in
the FY 2018 IRF PPS final rule (82 FR
36238).
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 2019 in such a
way that total estimated aggregate
payments to IRFs for FY 2019 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 2019 CMG relative weights, we use
the following steps:
Step 1. Calculate the estimated total
amount of IRF PPS payments for FY
2019 (with no changes to the CMG
relative weights).
Step 2. Calculate the estimated total
amount of IRF PPS payments for FY
2019 by applying the changes to the
CMG relative weights (as discussed in
this proposed rule).
Step 3. Divide the amount calculated
in step 1 by the amount calculated in
step 2 to determine the budget
neutrality factor (0.9980) that would
maintain the same total estimated
aggregate payments in FY 2019 with and
without the changes to the CMG relative
weights.
Step 4. Apply the budget neutrality
factor (0.9980) to the FY 2018 IRF PPS
standard payment amount after the
application of the budget-neutral wage
adjustment factor.
In section V.E. of this proposed rule,
we discuss the proposed use of the
existing methodology to calculate the
standard payment conversion factor for
FY 2019.
In Table 2, ‘‘Proposed Relative
Weights and Average Length of Stay
Values for Case-Mix Groups,’’ we
present the proposed CMGs, the
comorbidity tiers, the corresponding
relative weights, and the average length
of stay values for each CMG and tier for
FY 2019. 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 2—PROPOSED RELATIVE WEIGHTS AND AVERAGE LENGTH OF STAY VALUES FOR CASE-MIX GROUPS
Relative weight
CMG Description
(M=motor, C=cognitive, A=age)
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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0404 ....
0405 ....
0501 ....
0502 ....
0503 ....
0504 ....
0505 ....
0506 ....
Tier 1
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 .....
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.
Non-traumatic spinal cord injury M<23.75 .......
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Tier 2
Tier 3
Average length of stay
No
comorbidities
tier
Tier 1
Tier 2
Tier 3
No
comorbidities
tier
0.8486
1.0722
1.2409
1.2952
1.4885
1.6651
1.8665
2.3075
2.0873
2.7646
0.8228
1.1423
0.7367
0.9308
1.0772
1.1244
1.2922
1.4455
1.6203
2.0031
1.8120
2.4000
0.6676
0.9270
0.6761
0.8542
0.9886
1.0319
1.1859
1.3266
1.4871
1.8384
1.6630
2.2027
0.5960
0.8274
0.6461
0.8164
0.9448
0.9862
1.1333
1.2678
1.4211
1.7569
1.5893
2.1049
0.5565
0.7726
8
11
12
12
14
16
18
22
19
26
9
10
11
12
13
13
14
16
18
21
19
26
9
11
8
10
11
12
14
15
16
20
18
23
8
10
8
10
12
12
13
15
16
20
18
23
7
10
1.2601
1.3722
1.6209
1.9535
2.4678
1.1740
1.4336
1.0225
1.1135
1.3153
1.5852
2.0025
0.9497
1.1597
0.9128
0.9940
1.1741
1.4150
1.7875
0.8712
1.0639
0.8523
0.9281
1.0963
1.3212
1.6691
0.8146
0.9948
13
13
14
18
31
11
12
13
13
15
18
22
11
13
11
11
13
15
19
10
12
10
11
13
15
18
10
12
1.6587
1.3419
1.2309
1.1510
15
14
13
13
2.1196
1.0031
1.4909
1.7147
0.8112
1.2056
1.5729
0.7498
1.1144
1.4708
0.6853
1.0186
20
10
14
19
10
13
16
9
13
16
9
12
2.3615
1.9096
1.7650
1.6133
25
22
19
18
4.0165
3.2479
3.0021
2.7440
45
36
31
30
3.5422
2.8643
2.6476
2.4199
26
33
27
26
0.9175
1.2206
0.7147
0.9508
0.6615
0.8800
0.6076
0.8083
9
11
10
11
8
10
8
10
1.5123
1.1781
1.0903
1.0015
14
13
12
12
1.7404
1.3557
1.2548
1.1526
16
14
14
13
1.9922
1.5519
1.4363
1.3194
18
17
16
15
2.6966
2.1006
1.9441
1.7858
26
23
21
20
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08MYP3
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Federal Register / Vol. 83, No. 89 / Tuesday, May 8, 2018 / Proposed Rules
TABLE 2—PROPOSED RELATIVE WEIGHTS AND AVERAGE LENGTH OF STAY VALUES FOR CASE-MIX GROUPS—Continued
Relative weight
CMG Description
(M=motor, C=cognitive, A=age)
CMG
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 ....
sradovich on DSK3GMQ082PROD with PROPOSALS3
1803 ....
1901
1902
1903
2001
2002
2003
2004
2101
5001
....
....
....
....
....
....
....
....
....
5101 ....
5102 ....
5103 ....
Tier 1
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.
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.
Guillian Barre M>35.95 ....................................
Guillian Barre M>18.05 and M<35.95 .............
Guillian 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.
Expired, not orthopedic, length of stay is 15
days or fewer.
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Tier 2
Tier 3
Average length of stay
No
comorbidities
tier
Tier 1
Tier 2
Tier 3
No
comorbidities
tier
1.0727
1.3940
1.7135
2.2159
1.0293
1.3091
0.8220
1.0681
1.3130
1.6979
0.8388
1.0668
0.7615
0.9896
1.2164
1.5730
0.7954
1.0115
0.6941
0.9019
1.1087
1.4337
0.7177
0.9128
9
12
14
19
10
12
9
12
14
17
10
12
9
11
13
16
9
12
8
10
13
16
9
11
1.5608
1.2720
1.2061
1.0883
15
14
14
13
1.9933
0.8362
1.0782
1.6244
0.6820
0.8793
1.5402
0.6159
0.7941
1.3899
0.5727
0.7384
18
8
11
18
8
9
17
8
9
16
7
9
1.4172
1.1557
1.0438
0.9706
13
13
12
11
1.2741
1.0390
0.9384
0.8726
12
12
11
10
1.5185
1.2383
1.1184
1.0399
14
14
12
12
1.8736
1.0336
1.3077
1.6323
2.0449
1.0914
1.3986
1.5279
0.8091
1.0236
1.2777
1.6006
0.9202
1.1792
1.3800
0.7490
0.9476
1.1828
1.4818
0.8209
1.0520
1.2832
0.6903
0.8734
1.0902
1.3657
0.7566
0.9696
17
11
12
14
17
11
13
17
10
12
14
17
10
13
15
9
11
13
16
10
12
14
8
10
12
15
9
12
2.0249
1.3802
1.9397
1.1131
1.4086
1.7059
1.0974
1.4376
1.7073
0.9958
1.3995
0.9558
1.2096
1.4648
0.9616
1.2598
1.5231
0.9958
1.3995
0.8693
1.1001
1.3323
0.8870
1.1620
1.4038
0.8947
1.2574
0.7900
0.9998
1.2108
0.8378
1.0976
18
12
17
11
13
15
10
12
18
11
14
10
13
16
10
13
16
11
15
10
12
15
10
13
15
11
13
9
12
14
10
13
1.7313
0.9240
1.2392
1.4776
1.8592
1.0096
1.2873
1.5272
1.9278
1.2093
1.5344
1.8652
1.2867
1.5171
0.7515
1.0078
1.2017
1.5120
0.8767
1.1178
1.3262
1.6740
0.9269
1.1760
1.4295
0.9776
1.3994
0.6781
0.9093
1.0843
1.3643
0.7953
1.0140
1.2030
1.5186
0.8786
1.1148
1.3551
0.9126
1.3218
0.6099
0.8180
0.9753
1.2272
0.7609
0.9702
1.1511
1.4530
0.7937
1.0070
1.2241
0.8224
14
9
11
13
17
9
11
14
19
9
11
12
14
17
8
11
13
16
10
11
13
16
11
12
16
11
15
8
10
12
14
9
10
12
15
10
12
15
11
15
7
10
11
13
8
11
12
14
10
12
14
10
1.5500
1.1777
1.0993
0.9907
13
14
12
12
1.8117
1.3765
1.2849
1.1580
15
15
14
13
2.3035
1.7502
1.6337
1.4724
20
19
17
16
1.1210
1.0101
0.8484
0.7937
12
11
10
10
1.6611
1.4967
1.2572
1.1761
16
17
14
13
2.5942
2.3375
1.9634
1.8368
30
25
20
20
1.4128
2.4873
4.2909
0.9692
1.2596
1.5478
1.9731
1.9150
................
1.0101
1.7782
3.0677
0.7714
1.0025
1.2319
1.5704
1.5473
................
0.9494
1.6714
2.8833
0.7164
0.9311
1.1442
1.4585
1.5040
................
0.9109
1.6037
2.7665
0.6501
0.8449
1.0382
1.3235
1.3189
0.1601
15
24
46
9
11
14
18
22
................
13
21
31
9
11
14
17
16
................
11
18
30
8
10
12
15
16
................
11
18
30
8
10
12
15
14
2
................
................
................
0.7561
................
................
................
8
................
................
................
1.6523
................
................
................
18
................
................
................
0.8114
................
................
................
8
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Federal Register / Vol. 83, No. 89 / Tuesday, May 8, 2018 / Proposed Rules
TABLE 2—PROPOSED RELATIVE WEIGHTS AND AVERAGE LENGTH OF STAY VALUES FOR CASE-MIX GROUPS—Continued
Relative weight
CMG Description
(M=motor, C=cognitive, A=age)
CMG
5104 ....
Tier 1
Expired, not orthopedic, 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 3 shows how we
estimate that the application of the
proposed revisions for FY 2019 would
affect particular CMG relative weight
Tier 2
Tier 3
................
................
................
Average length of stay
No
comorbidities
tier
2.1193
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
previously described), total estimated
aggregate payments to IRFs for FY 2019
Tier 1
Tier 2
................
................
No
comorbidities
tier
Tier 3
................
21
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 3—DISTRIBUTIONAL EFFECTS OF THE PROPOSED CHANGES TO THE CMG RELATIVE WEIGHTS
[FY 2018 values compared with FY 2019 values]
Number of
cases affected
Percentage change in CMG relative weights
Percentage of
cases affected
19
1,600
394,149
1,193
74
0.0
0.4
99.3
0.3
0.0
sradovich on DSK3GMQ082PROD with PROPOSALS3
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 ....................................................................................................................................
As Table 3 shows, 99.3 percent of all
IRF cases are in CMGs and tiers that
would experience less than a 5 percent
change (either increase or decrease) in
the CMG relative weight value as a
result of the revisions for FY 2019. The
largest estimated increase in the
proposed CMG relative weight values
that affects the largest number of IRF
discharges would be a 3.4 percent
change in the CMG relative weight value
for CMG 0806 Replacement of lower
extremity joint, with a motor score less
than 22.05—with no tier adjustment. In
the FY 2017 claims data, 1,580 IRF
discharges (0.4 percent of all IRF
discharges) were classified into this
CMG and tier.
The largest estimated decrease in a
CMG relative weight value affecting the
largest number of IRF cases would be a
2.1 percent decrease in the CMG relative
weight for CMG 0304—Non-traumatic
brain injury, with a motor score less
than 26.5—with no tier adjustment. In
the FY 2017 IRF claims data, this
change would have affected 3,354 cases
(0.8 percent of all IRF cases).
The proposed changes in the average
length of stay values for FY 2019,
compared with the FY 2018 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 updates to the CMG relative
weights and average length of stay
values for FY 2019.
VerDate Sep<11>2014
19:45 May 07, 2018
Jkt 244001
IV. Facility-Level Adjustment Factors
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. Under this authority, we
currently adjust the 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
§ 412.624(e).
Based on the substantive changes to
the facility-level adjustment factors that
were adopted in the FY IRF PPS 2014
final rule (78 FR 47860, 47868 through
47872), in the FY 2015 IRF PPS final
rule (79 FR 45872, 45882 through
45883), we froze the facility-level
adjustment factors at the FY 2014 levels
for FY 2015 and all subsequent years
(unless and until we propose to update
them again through future notice-andcomment rulemaking). For FY 2019, we
will continue to hold the adjustment
factors at the FY 2014 levels as we
continue to monitor the most current
IRF claims data available and continue
to evaluate and monitor the effects of
the FY 2014 changes.
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V. Proposed FY 2019 IRF PPS Payment
Update
A. Background
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
IRF PPS payment, 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 prospective payment rates for
each FY. Section 1886(j)(3)(C)(ii)(I) of
the Act requires the application of a
productivity adjustment. In addition,
sections 1886(j)(3)(C)(ii)(II) and
1886(j)(3)(D)(v) of the Act require the
application of a 0.75 percentage point
reduction to the market basket increase
factor for FY 2019. Thus, we propose to
update the IRF PPS payments for FY
2019 by a market basket increase factor
as required by section 1886(j)(3)(C) of
the Act, with a productivity adjustment
as required by section 1886(j)(3)(C)(ii)(I)
of the Act, and a 0.75 percentage point
reduction as required by sections
1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(v)
of the Act.
Beginning with the FY 2016 IRF PPS,
we created and adopted a stand-alone
IRF market basket, which was referred
to as the 2012-based IRF market basket,
reflecting the operating and capital cost
structures for freestanding IRFs and
hospital-based IRFs. The FY 2016 IRF
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Federal Register / Vol. 83, No. 89 / Tuesday, May 8, 2018 / Proposed Rules
sradovich on DSK3GMQ082PROD with PROPOSALS3
PPS final rule (80 FR 47046 through
47068) contains a complete discussion
of the development of the 2012-based
IRF market basket.
B. Proposed FY 2019 Market Basket
Update and Productivity Adjustment
For FY 2018, we applied an increase
factor of 1.0 percent to update the IRF
prospective payment rates in
accordance with section
1886(j)(3)(C)(iii) of the Act, as added by
section 411(b) of MACRA. However, as
discussed previously, for FY 2019, we
propose to update the IRF PPS
payments by a market basket increase
factor as required by section
1886(j)(3)(C) of the Act, with a
productivity adjustment as required by
section 1886(j)(3)(C)(ii)(I) of the Act, and
a 0.75 percentage point reduction as
required by sections 1886(j)(3)(C)(ii)(II)
and 1886(j)(3)(D)(v) of the Act. For FY
2019, we propose to use the same
methodology described in the FY 2017
IRF PPS final rule (81 FR 52071) to
compute the FY 2019 market basket
increase factor to update the IRF PPS
base payment rate.
Consistent with historical practice, we
are proposing to estimate the market
basket update for the IRF PPS based on
the most up-to-date forecast of price
indexes used in the market basket as
forecasted by IHS Global Inc. (‘‘IGI’’).
IGI is a nationally recognized economic
and financial forecasting firm with
which we contract to forecast the
components of the market baskets and
MFP. Based on IGI’s first quarter 2018
forecast with historical data through the
fourth quarter of 2017, the 2012-based
IRF market basket increase factor for FY
2019 is projected to be 2.9 percent.
Therefore, consistent with our historical
practice of estimating market basket
increases based on the best available
data, we are proposing that the 2012based IRF market basket increase factor
for FY 2019 would be 2.9 percent. We
are also proposing that if more recent
data are subsequently available (for
example, a more recent estimate of the
market basket update), we would use
such data to determine the FY 2019
market basket update in the final rule.
According to section 1886(j)(3)(C)(i) of
the Act, the Secretary shall establish an
increase factor based on an appropriate
percentage increase in a market basket
of goods and services. Section
1886(j)(3)(C)(ii) of the Act then requires
that, after establishing the increase
factor for a FY, the Secretary shall
reduce such increase factor for FY 2012
and each subsequent FY, by the
productivity adjustment described in
section 1886(b)(3)(B)(xi)(II) of the Act.
Section 1886(b)(3)(B)(xi)(II) of the Act
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19:45 May 07, 2018
Jkt 244001
sets forth the definition of this
productivity adjustment. 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, year, cost
reporting period, or other annual
period) (the ‘‘MFP adjustment’’). The
BLS publishes the official measure of
private nonfarm business MFP. Please
see https://www.bls.gov/mfp for the BLS
historical published MFP data. A
complete description of the MFP
projection methodology is available on
the CMS website at https://
www.cms.gov/Research-Statistics-Dataand-Systems/Statistics-Trends-andReports/MedicareProgramRatesStats/
MarketBasketResearch.html.
Using IGI’s first quarter 2018 forecast,
the MFP adjustment for FY 2019 (the
10-year moving average of MFP for the
period ending FY 2019) is projected to
be 0.8 percent. Thus, in accordance with
section 1886(j)(3)(C) of the Act, we are
proposing to base the FY 2019 market
basket update, which is used to
determine the applicable percentage
increase for the IRF payments, on the
most recent estimate of the 2012-based
IRF market basket. We are proposing to
then reduce this percentage increase by
the most recent estimate of the MFP
adjustment for FY 2019 of 0.8
percentage point. Following application
of the MFP adjustment, we are
proposing to further reduce the
applicable percentage increase by 0.75
percentage point, as required by
sections 1886(j)(3)(C)(ii)(II) and
1886(j)(3)(D)(v) of the Act. Therefore,
the proposed FY 2019 IRF update is
1.35 percent (2.9 percent market basket
update, less 0.8 percentage point MFP
adjustment, less 0.75 percentage point
statutorily required adjustment).
Furthermore, we propose that if more
recent data are subsequently available
(for example, a more recent estimate of
the MFP adjustment), we will use such
data to determine the FY 2019 MFP
adjustment in the final rule.
For FY 2019, the Medicare Payment
Advisory Commission (MedPAC)
recommends that we reduce IRF PPS
payment rates by 5 percent. As
discussed, and in accordance with
sections 1886(j)(3)(C) and 1886(j)(3)(D)
of the Act, the Secretary is proposing to
update the IRF PPS payment rates for
FY 2019 by an adjusted market basket
increase factor of 1.35 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 2019.
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We invite public comment on the
proposed market basket update and
productivity adjustment.
C. Proposed Labor-Related Share for FY
2019
Section 1886(j)(6) of the Act specifies
that the Secretary is to adjust the
proportion (as estimated by the
Secretary from time to time) of
rehabilitation facilities’ costs which are
attributable to wages and wage-related
costs of the prospective payment rates
computed under section 1886(j)(3) of
the Act for area differences in wage
levels 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 such
facilities. The labor-related share is
determined by identifying the national
average proportion of total costs that are
related to, influenced by, or vary with
the local labor market. We continue to
classify a cost category as labor-related
if the costs are labor-intensive and vary
with the local labor market.
Based on our definition of the laborrelated share and the cost categories in
the 2012-based IRF market basket, we
propose to calculate the labor-related
share for FY 2019 as the sum of the FY
2019 relative importance of Wages and
Salaries, Employee Benefits,
Professional Fees: Labor- Related,
Administrative and Facilities Support
Services, Installation, Maintenance, and
Repair Services, All Other: Labor-related
Services, and a portion of the CapitalRelated cost weight from the 2012-based
IRF market basket. For more details
regarding the methodology for
determining specific cost categories for
inclusion in the 2012-based IRF laborrelated share, see the FY 2016 IRF final
rule (80 FR 47066 through 47068).
Using this method and IGI’s first
quarter 2018 forecast for the 2012-based
IRF market basket, the proposed IRF
labor-related share for FY 2019 is 70.6
percent. We propose that if more recent
data are subsequently available (for
example, a more recent estimate of the
labor-related share), we will use such
data to determine the FY 2019 IRF
labor-related share in the final rule.
Incorporating the most recent estimate
of the 2012-based IRF market basket
based on IGI’s first quarter 2018 forecast
with historical data through the fourth
quarter of 2017, the sum of the relative
importance for FY 2019 operating costs
(Wages and Salaries, Employee Benefits,
Professional Fees: Labor-related,
Administrative and Facilities Support
Services, Installation Maintenance &
Repair Services, and All Other: Laborrelated Services) using the 2012-based
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IRF market basket is 66.8 percent. We
propose that the portion of CapitalRelated Costs that is influenced by the
local labor market is estimated to be 46
percent. Incorporating the most recent
estimate of the FY 2019 relative
importance of Capital-Related costs
from the 2012-based IRF market basket
based on IGI’s first quarter 2018 forecast
with historical data through the fourth
quarter of 2017, which is 8.2 percent,
we take 46 percent of 8.2 percent to
determine the labor-related share of
Capital for FY 2019. We propose to then
add this amount (3.8 percent) to the sum
of the relative importance for FY 2019
operating costs (66.8 percent) to
determine the total labor-related share
for FY 2019 of 70.6 percent. Thus, the
proposed FY 2019 labor-related share is
70.6 percent. By comparison, the FY
2018 labor-related share was 70.7
percent.
TABLE 4—IRF LABOR-RELATED SHARE
FY 2019 proposed laborrelated share 1
FY 2018 final
labor related
share 2
Wages and salaries .................................................................................................................................................
Employee Benefits ...................................................................................................................................................
Professional Fees: Labor-related ............................................................................................................................
Administrative and Facilities Support Services .......................................................................................................
Installation, Maintenance, and Repair Services ......................................................................................................
All Other: Labor-related Services ............................................................................................................................
47.8
11.1
3.4
0.8
1.9
1.8
47.8
11.2
3.4
0.8
1.9
1.8
Subtotal .............................................................................................................................................................
Labor-related portion of capital (46%) .....................................................................................................................
66.8
3.8
66.9
3.8
Total Labor-Related Share ........................................................................................................................
70.6
70.7
1 Based
on the 2012-based IRF Market Basket, IGI’s 1st quarter 2018 forecast with historical data through the 4th quarter of 2017.
Register (82 FR 36249).
2 Federal
We invite public comment on the
proposed labor-related share for FY
2019.
D. Proposed Wage Adjustment for FY
2019
sradovich on DSK3GMQ082PROD with PROPOSALS3
1. Background
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 2019, we propose to maintain
the policies and methodologies
described in the FY 2018 IRF PPS final
rule (82 FR 36238, 36249 through
36250) 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 2018
pre-reclassification and pre-floor
hospital wage index data. In accordance
with section 1886(d)(3)(E) of the Act,
the FY 2018 pre-reclassification and
pre-floor hospital wage index is based
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on data submitted for hospital cost
reporting periods beginning on or after
October 1, 2013, and before October 1,
2014 (that is, FY 2014 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 2019 IRF PPS
wage index.
We invite public comment on this
proposal.
2. Core-Based Statistical Areas (CBSAs)
for the Proposed FY 2019 IRF Wage
Index
The wage index used for the IRF PPS
is calculated using the prereclassification and pre-floor acute care
hospital wage index data and is
assigned to the IRF on the basis of the
labor market area in which the IRF is
geographically located. IRF labor market
areas are delineated based on the CBSAs
established by the OMB. The current
CBSA delineations (which were
implemented for the IRF PPS beginning
with FY 2016) are based on revised
OMB delineations issued on February
28, 2013, in OMB Bulletin No. 13–01.
OMB Bulletin No. 13–01 established
revised delineations for Metropolitan
Statistical Areas, Micropolitan
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Statistical Areas, and Combined
Statistical Areas in the United States
and Puerto Rico based on the 2010
Census, and provided guidance on the
use of the delineations of these
statistical areas using standards
published on June 28, 2010, in the
Federal Register (75 FR 37246 through
37252). We refer readers to the FY 2016
IRF PPS final rule (80 FR 47068 through
47076) for a full discussion of our
implementation of the OMB labor
market area delineations beginning with
the FY 2016 wage index.
Generally, OMB issues major
revisions to statistical areas every 10
years, based on the results of the
decennial census. However, OMB
occasionally issues minor updates and
revisions to statistical areas in the years
between the decennial censuses. On
July 15, 2015, OMB issued OMB
Bulletin No. 15–01, which provides
minor updates to and supersedes OMB
Bulletin No. 13–01 that was issued on
February 28, 2013. The attachment to
OMB Bulletin No. 15–01 provides
detailed information on the update to
statistical areas since February 28, 2013.
The updates provided in OMB Bulletin
No. 15–01 are based on the application
of the 2010 Standards for Delineating
Metropolitan and Micropolitan
Statistical Areas to Census Bureau
population estimates for July 1, 2012
and July 1, 2013. The complete list of
statistical areas incorporating these
changes is provided in OMB Bulletin
No. 15–01. In the FY 2018 IRF PPS final
rule (82 FR 36250 through 36251), we
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of population shifts and labor market
conditions.
As discussed in the FY 2018 Inpatient
prospective payment system (IPPS) and
Long-Term Care Hospital (LTCH) PPS
final rule (82 FR 38130), this change
was implemented under the IPPS
beginning on October 1, 2017.
Therefore, we are proposing to
implement this revision for the IRF PPS
beginning October 1, 2018, consistent
with our historical practice of modeling
IRF PPS adoption of updates to labor
market areas after IPPS adoption of
these changes.
We invite public comments on this
proposal.
3. Codes for Constituent Counties in
CBSAs
sradovich on DSK3GMQ082PROD with PROPOSALS3
adopted the updates set forth in OMB
Bulletin No. 15–01 effective October 1,
2017, beginning with the FY 2018 wage
index. For a complete discussion of the
adoption of the updates set forth in
OMB Bulletin No. 15–01, we refer
readers to the FY 2018 IRF PPS final
rule.
For FY 2019, we propose to continue
using the OMB delineations that we
adopted beginning with FY 2016 to
calculate the area wage indexes, with
the updates set forth in OMB Bulletin
No. 15–01 that we adopted beginning
with the FY 2018 wage index.
We invite public comment on this
proposal.
4. Wage Adjustment
CBSAs are made up of one or more
constituent counties. Each CBSA and
constituent county has its own unique
identifying codes. There are two
different lists of codes associated with
counties: Social Security
Administration (SSA) codes and Federal
Information Processing Standard (FIPS)
codes. Historically, we have used SSA
and FIPS county codes to identify and
crosswalk counties to CBSA codes for
purposes of the IRF wage index. We
have learned that SSA county codes are
no longer being maintained and
updated. However, the FIPS codes
continue to be maintained by the U.S.
Census Bureau. The Census Bureau’s
most current statistical area information
is derived from ongoing census data
received since 2010; the most recent
data are from 2015. For purposes of
cross-walking counties to CBSA codes,
we are proposing to discontinue the use
of SSA county codes and continue using
only the FIPS county codes. We are
proposing to use the FIPS county codes
to calculate area wage indexes in a
manner that is generally consistent with
the CBSA-based methodologies
finalized in the FY 2006 IRF final rule
(70 FR 47880) and the FY 2016 IRF final
rule (80 FR 47036). The use of the FIPS
codes for cross-walking counties to
CBSAs does not result in any changes to
the constituent counties of any CBSA.
Thus, there is no impact or change for
any IRF due to the use of the FIPS
county codes. We believe that using the
latest FIPS codes will allow us to
maintain a more accurate and up-to-date
payment system that reflects the reality
The proposed wage index applicable
to FY 2019 is available on the CMS
website at https://www.cms.gov/
Medicare/Medicare-Fee-for-ServicePayment/InpatientRehabFacPPS/DataFiles.html. Table A is for urban areas,
and Table B is for rural areas.
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 2019 labor-related share
based on the 2012-based IRF market
basket (70.6 percent) to determine the
labor-related portion of the standard
payment amount. A full discussion of
the calculation of the labor-related share
is located in section V.C of this
proposed rule. We then multiply the
labor-related portion by the applicable
IRF wage index from the tables in the
addendum to this proposed rule. These
tables are available on the CMS website
at https://www.cms.gov/Medicare/
Medicare-Fee-for-Service-Payment/
InpatientRehabFacPPS/Data-Files.html.
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 propose to
calculate a 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
propose to use the listed steps to ensure
that the FY 2019 IRF standard payment
conversion factor reflects the proposed
update to the wage indexes (based on
the FY 2014 hospital cost report data)
and the labor-related share in a budgetneutral manner:
Step 1. Determine the total amount of
the estimated FY 2018 IRF PPS
payments, using the FY 2018 standard
payment conversion factor and the
labor-related share and the wage
indexes from FY 2018 (as published in
the FY 2018 IRF PPS final rule (82 FR
36238)).
Step 2. Calculate the total amount of
estimated IRF PPS payments using the
proposed FY 2019 standard payment
conversion factor and the proposed FY
2019 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
proposed FY 2019 budget-neutral wage
adjustment factor of 1.0000.
Step 4. Apply the proposed FY 2019
budget-neutral wage adjustment factor
from step 3 to the FY 2018 IRF PPS
standard payment conversion factor
after the application of the increase
factor to determine the proposed FY
2019 standard payment conversion
factor.
We discuss the calculation of the
proposed standard payment conversion
factor for FY 2019 in section V.E. of this
proposed rule.
We invite public comment on the
proposed IRF wage adjustment for FY
2019.
E. Description of the Proposed IRF
Standard Payment Conversion Factor
and Payment Rates for FY 2019
To calculate the proposed standard
payment conversion factor for FY 2019,
as illustrated in Table 5, we begin by
applying the proposed increase factor
for FY 2019, as adjusted in accordance
with sections 1886(j)(3)(C) and (D) of the
Act, to the standard payment conversion
factor for FY 2018 ($15,838). Applying
the proposed 1.35 percent increase
factor for FY 2019 to the standard
payment conversion factor for FY 2018
of $15,838 yields a standard payment
amount of $16,052. Then, we apply the
proposed budget neutrality factor for the
FY 2019 wage index and labor-related
share of 1.0000, which results in a
proposed standard payment amount of
$16,052. We next apply the proposed
budget neutrality factor for the revised
CMG relative weights of 0.9980, which
results in the proposed standard
payment conversion factor of $16,020
for FY 2019.
TABLE 5—CALCULATIONS TO DETERMINE THE PROPOSED FY 2019 STANDARD PAYMENT CONVERSION FACTOR
Explanation for adjustment
Calculations
Standard Payment Conversion Factor for FY 2018 ............................................................................................................................
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20985
TABLE 5—CALCULATIONS TO DETERMINE THE PROPOSED FY 2019 STANDARD PAYMENT CONVERSION FACTOR—
Continued
Explanation for adjustment
Calculations
Market Basket Increase Factor for FY 2019 (2.9 percent), reduced by 0.8 percentage point for the productivity adjustment as required by section 1886(j)(3)(C)(ii)(I) of the Act, and reduced by 0.75 percentage point in accordance with sections
1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(v) 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 2019 Standard Payment Conversion Factor .................................................................................................................
We invite public comment on the
proposed FY 2019 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 2019 standard payment
x 1.0135
x 1.0000
x 0.9980
= $16,020
conversion factor ($16,020), the
resulting unadjusted IRF prospective
payment rates for FY 2019 are shown in
Table 6.
TABLE 6—PROPOSED FY 2019 PAYMENT RATES
Payment rate
tier 1
sradovich on DSK3GMQ082PROD with PROPOSALS3
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
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
.................................................................................................................
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$13,594.57
17,176.64
19,879.22
20,749.10
23,845.77
26,674.90
29,901.33
36,966.15
33,438.55
44,288.89
13,181.26
18,299.65
20,186.80
21,982.64
25,966.82
31,295.07
39,534.16
18,807.48
22,966.27
26,572.37
33,955.99
16,069.66
23,884.22
37,831.23
64,344.33
56,746.04
14,698.35
19,554.01
24,227.05
27,881.21
31,915.04
43,199.53
17,184.65
22,331.88
27,450.27
35,498.72
16,489.39
20,971.78
25,004.02
31,932.67
13,395.92
17,272.76
22,703.54
20,411.08
24,326.37
30,015.07
16,558.27
20,949.35
26,149.45
32,759.30
17,484.23
22,405.57
Sfmt 4702
Payment rate
tier 2
$11,801.93
14,911.42
17,256.74
18,012.89
20,701.04
23,156.91
25,957.21
32,089.66
29,028.24
38,448.00
10,694.95
14,850.54
16,380.45
17,838.27
21,071.11
25,394.90
32,080.05
15,214.19
18,578.39
21,497.24
27,469.49
12,995.42
19,313.71
30,591.79
52,031.36
45,886.09
11,449.49
15,231.82
18,873.16
21,718.31
24,861.44
33,651.61
13,168.44
17,110.96
21,034.26
27,200.36
13,437.58
17,090.14
20,377.44
26,022.89
10,925.64
14,086.39
18,514.31
16,644.78
19,837.57
24,476.96
12,961.78
16,398.07
20,468.75
25,641.61
14,741.60
18,890.78
E:\FR\FM\08MYP3.SGM
08MYP3
Payment rate
tier 3
$10,831.12
13,684.28
15,837.37
16,531.04
18,998.12
21,252.13
23,823.34
29,451.17
26,641.26
35,287.25
9,547.92
13,254.95
14,623.06
15,923.88
18,809.08
22,668.30
28,635.75
13,956.62
17,043.68
19,719.02
25,197.86
12,011.80
17,852.69
28,275.30
48,093.64
42,414.55
10,597.23
14,097.60
17,466.61
20,101.90
23,009.53
31,144.48
12,199.23
15,853.39
19,486.73
25,199.46
12,742.31
16,204.23
19,321.72
24,674.00
9,866.72
12,721.48
16,721.68
15,033.17
17,916.77
22,107.60
11,998.98
15,180.55
18,948.46
23,738.44
13,150.82
16,853.04
Payment rate
no comorbidity
$10,350.52
13,078.73
15,135.70
15,798.92
18,155.47
20,310.16
22,766.02
28,145.54
25,460.59
33,720.50
8,915.13
12,377.05
13,653.85
14,868.16
17,562.73
21,165.62
26,738.98
13,049.89
15,936.70
18,439.02
23,562.22
10,978.51
16,317.97
25,845.07
43,958.88
38,766.80
9,733.75
12,948.97
16,044.03
18,464.65
21,136.79
28,608.52
11,119.48
14,448.44
17,761.37
22,967.87
11,497.55
14,623.06
17,434.57
22,266.20
9,174.65
11,829.17
15,549.01
13,979.05
16,659.20
20,556.86
11,058.61
13,991.87
17,465.00
21,878.51
12,120.73
15,532.99
20986
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TABLE 6—PROPOSED FY 2019 PAYMENT RATES—Continued
Payment rate
tier 1
CMG
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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sradovich on DSK3GMQ082PROD with PROPOSALS3
F. Example of the Methodology for
Adjusting the Proposed Prospective
Payment Rates
Table 7 illustrates the methodology
for adjusting the proposed federal
prospective payments (as described in
section V. of this proposed rule). The
following examples are based on two
hypothetical Medicare beneficiaries,
both classified into CMG 0110 (without
comorbidities). The proposed
unadjusted 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 0.8088, and a rural
adjustment of 14.9 percent. Facility B, an
urban teaching hospital, has a DSH
percentage of 15 percent (which would result
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Payment rate
tier 2
Payment rate
tier 3
32,438.90
22,110.80
31,073.99
17,831.86
22,565.77
27,328.52
17,580.35
23,030.35
27,735.43
14,802.48
19,851.98
23,671.15
29,784.38
16,173.79
20,622.55
24,465.74
30,883.36
19,372.99
24,581.09
29,880.50
20,612.93
24,831.00
29,023.43
36,902.07
17,958.42
26,610.82
41,559.08
22,633.06
39,846.55
68,740.22
15,526.58
20,178.79
24,795.76
31,609.06
30,678.30
........................
........................
........................
........................
........................
27,350.95
15,952.72
22,419.99
15,311.92
19,377.79
23,466.10
15,404.83
20,182.00
24,303.94
12,039.03
16,144.96
19,251.23
24,222.24
14,044.73
17,907.16
21,245.72
26,817.48
14,848.94
18,839.52
22,900.59
15,661.15
18,866.75
22,051.53
28,038.20
16,181.80
23,977.13
37,446.75
16,181.80
28,486.76
49,144.55
12,357.83
16,060.05
19,735.04
25,157.81
24,787.75
........................
........................
........................
........................
........................
24,400.06
15,952.72
22,419.99
13,926.19
17,623.60
21,343.45
14,209.74
18,615.24
22,418.39
10,863.16
14,566.99
17,370.49
21,856.09
12,740.71
16,244.28
19,272.06
24,327.97
14,075.17
17,859.10
21,708.70
14,619.85
17,610.79
20,584.10
26,171.87
13,591.37
20,140.34
31,453.67
15,209.39
26,775.83
46,190.47
11,476.73
14,916.22
18,330.08
23,365.17
24,094.08
........................
........................
........................
........................
........................
in a LIP adjustment of 1.0454 percent), a
wage index of 0.8689, and a teaching status
adjustment of 0.0784.
To calculate each IRF’s labor and nonlabor portion of the proposed
prospective payment, we begin by
taking the unadjusted prospective
payment rate for CMG 0110 (without
comorbidities) from Table 6. Then, we
multiply the proposed labor-related
share for FY 2019 (70.6 percent)
described in section V.C. of this
proposed rule by the proposed
unadjusted prospective payment rate.
To determine the non-labor portion of
the proposed prospective payment rate,
we subtract the labor portion of the
proposed federal payment from the
proposed unadjusted prospective
payment.
To compute the proposed wageadjusted prospective payment, we
multiply the labor portion of the
proposed federal payment by the
appropriate wage index located in
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Payment rate
no comorbidity
22,488.88
14,333.09
20,143.55
12,655.80
16,016.80
19,397.02
13,421.56
17,583.55
21,175.24
9,770.60
13,104.36
15,624.31
19,659.74
12,189.62
15,542.60
18,440.62
23,277.06
12,715.07
16,132.14
19,610.08
13,174.85
15,871.01
18,551.16
23,587.85
12,715.07
18,841.12
29,425.54
14,592.62
25,691.27
44,319.33
10,414.60
13,535.30
16,631.96
21,202.47
21,128.78
2,564.80
12,112.72
26,469.85
12,998.63
33,951.19
Tables A and B. These tables are
available on the CMS website at https://
www.cms.gov/Medicare/Medicare-Feefor-Service-Payment/Inpatient
RehabFacPPS/Data-Files.html. 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 of
the proposed federal payment.
Adjusting the proposed wage-adjusted
federal payment by the facility-level
adjustments involves several steps.
First, we take the wage-adjusted
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
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additional teaching status payments (if
applicable) to the wage, rural, and LIPadjusted prospective payment rates.
20987
Table 7 illustrates the components of
the adjusted payment calculation.
TABLE 7—EXAMPLE OF COMPUTING THE FY 2019 IRF PROSPECTIVE PAYMENT
Rural facility A
(Spencer Co., IN)
Steps
1
2
3
4
...................................................
...................................................
...................................................
...................................................
5 ...................................................
6 ...................................................
7 ...................................................
8 ...................................................
9 ...................................................
10 .................................................
11 .................................................
12 .................................................
13 .................................................
14 .................................................
15 .................................................
16 .................................................
Unadjusted Payment .........................................................................
Labor Share ......................................................................................
Labor Portion of Payment .................................................................
CBSA-Based Wage Index (shown in the Addendum, Tables A and
B).
Wage-Adjusted Amount ....................................................................
Non-Labor Amount ............................................................................
Wage-Adjusted Payment ..................................................................
Rural Adjustment ...............................................................................
Wage- and Rural-Adjusted Payment ................................................
LIP Adjustment ..................................................................................
Wage-, Rural- and LIP-Adjusted Payment .......................................
Wage- and Rural-Adjusted Payment ................................................
Teaching Status Adjustment .............................................................
Teaching Status Adjustment Amount ...............................................
Wage-, Rural-, and LIP-Adjusted Payment ......................................
Total Adjusted Payment ....................................................................
Thus, the proposed adjusted payment
for Facility A would be $34,037.62, and
the proposed adjusted payment for
Facility B would be $34,387.67.
sradovich on DSK3GMQ082PROD with PROPOSALS3
VI. Proposed Update to Payments for
High-Cost Outliers Under the IRF PPS
for FY 2019
A. Proposed Update to the Outlier
Threshold Amount for FY 2019
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
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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
2006 through 2018 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, 77 FR
44618, 78 FR 47860, 79 FR 45872, 80 FR
47036, 81 FR 52056, and 82 FR 36238,
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 2019, we propose to use
FY 2017 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 2018. The outlier
threshold is calculated by simulating
aggregate payments and using an
iterative process to determine a
threshold that results in outlier
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Urban facility B
(Harrison Co., IN)
$33,720.50
× 0.706
$23,806.67
× 0.8088
$33,720.50
× 0.706
= $23,806.67
× 0.8689
= $19,254.83
+ $9,913.83
= $29,168.66
× 1.149
= $33,514.79
× 1.0156
= $34,037.62
$33,514.79
× 0
= $0.00
+ $34,037.62
= $34,037.62
= $20,685.62
+ $9,913.83
= $30,599.45
× 1.000
= $30,599.45
× 1.0454
= $31,988.67
$30,599.45
× 0.0784
= $2,399.00
+ $31,988.67
= $34,387.67
=
payments being equal to 3 percent of
total payments under the simulation. To
determine the outlier threshold for FY
2019, we estimate the amount of FY
2019 IRF PPS aggregate and outlier
payments using the most recent claims
available (FY 2017) and the proposed
FY 2019 standard payment conversion
factor, labor-related share, and wage
indexes, incorporating any applicable
budget-natural adjustment factors. The
outlier threshold is adjusted either up or
down in this simulation until the
estimated outlier payments equal 3
percent of the estimated aggregate
payments. Based on an analysis of the
preliminary data used for the proposed
rule, we estimated that IRF outlier
payments as a percentage of total
estimated payments would be
approximately 3.4 percent in FY 2018.
Therefore, we propose to update the
outlier threshold amount from $8,679
for FY 2018 to $10,509 for FY 2019 to
maintain estimated outlier payments at
approximately 3 percent of total
estimated aggregate IRF payments for
FY 2019.
We invite public comment on the
proposed update to the FY 2019 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 for FY 2019
Cost-to-charge ratios are used to
adjust charges from Medicare claims to
costs and are computed annually from
facility-specific data obtained from
Medicare cost reports. IRF specific cost-
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to-charge ratios are used in the
development of the CMG relative
weights and the calculation of outlier
payments under the IRF prospective
payment system. In accordance with the
methodology stated in the FY 2004 IRF
PPS final rule (68 FR 45674, 45692
through 45694), we propose to 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 2019,
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 2019,
as discussed below in this section.
• Other IRFs for which accurate data
to calculate an overall CCR are not
available.
Specifically, for FY 2019, we propose
to estimate a national average CCR of
0.470 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, we propose to estimate a
national average CCR of 0.392 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 total costs factor more
heavily into the averages than the CCRs
of IRFs with lower total costs. For this
proposed rule, we have used the most
recent available cost report data (FY
2016). This includes all IRFs whose cost
reporting periods begin on or after
October 1, 2015, and before October 1,
2016. If, for any IRF, the FY 2016 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 2015) 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, we proposed a
national CCR ceiling of 1.31 for FY
2019. This means that, if an individual
IRF’s CCR were to exceed this proposed
ceiling of 1.31 for FY 2019, we would
replace the IRF’s CCR with the
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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 previously discussed) 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.
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 becomes 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
2019.
VII. Proposed Removal of the FIM TM
Instrument and Associated Function
Modifiers From the IRF–PAI Beginning
With FY 2020 and Proposed
Refinements to the Case-Mix
Classification System Beginning With
FY 2020
A. Proposed Removal of the FIM TM
Instrument and Associated Function
Modifiers From the IRF–PAI Beginning
With FY 2020
Under section 1886(j)(2)(D) of the Act,
the Secretary is authorized to require
rehabilitation facilities that provide
inpatient hospital services to submit
such data as the Secretary deems
necessary to establish and administer
the IRF PPS. In the FY 2002 IRF PPS
final rule (66 FR 41324 through 41328),
we finalized the use of the IRF–PAI,
through which IRFs are now required to
collect and electronically submit patient
data for all Medicare Part A FFS and
Medicare Part C (Medicare Advantage)
patients. Data collected in the IRF–PAI
is used to classify patients into distinct
payment groups based on clinical
characteristics and expected resource
needs as well as to monitor the quality
of care furnished in IRFs.
The IRF–PAI currently in use under
the IRF PPS (IRF–PAI version 2.0) was
originally developed based on a
modified version of the Uniform Data
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System for medical rehabilitation
(UDSmr) patient assessment instrument,
commonly referred to as the FIM TM.
Item 39 of the IRF–PAI version 2.0
contains 18 of the FIM TM data elements
and the FIM TM measurement scale that
are used to score both motor and
cognitive functioning at admission and
discharge. The FIM TM data elements
and measurement scale are collectively
referred to as the FIM TM instrument.
Additionally, items 29 through 38 of the
IRF–PAI version 2.0 contain Function
Modifiers associated with the FIM TM
instrument. The FIM TM instrument and
associated Function Modifiers are
currently used to assign a patient into a
CMG for payment purposes under the
IRF PPS based on the patient’s ability to
perform specific activities of daily living
and, in some cases, the patient’s
cognitive ability.
In the FY 2012 IRF PPS final rule (76
FR 47873 through 47883), we
established the IRF QRP in accordance
with section 1886(j)(7) of the Act and
finalized revisions to the IRF–PAI to
begin collecting data items under the
IRF QRP. Under the IRF QRP, the
following data items are collected in the
Quality Indicators section of the IRF–
PAI:
• GG0130A1 Eating
• GG0130B1 Oral hygiene
• GG0130C1 Toileting hygiene
• GG0130E1 Shower/bathe self
• GG0130F1 Upper-body dressing
• GG0130G1 Lower-body dressing
• GG0130H1 Putting on/taking off
footwear
• GG0170A1 Roll left and right
• GG0170B1 Sit to lying
• GG0170C1 Lying to sitting on side
of bed
• GG0170D1 Sit to stand
• GG0170E1 Chair/bed-to-chair
transfer
• GG0170F1 Toilet transfer
• GG0170I1 Walk 10 feet
• GG0170J1 Walk 50 feet with two
turns
• GG0170K1 Walk 150 feet
• GG0170M1 One step curb
• H0350 Bladder continence
• H0400 Bowel continence
• BB0700 Expression of ideas and
wants
• BB0800 Understanding verbal
content
• C0500 Brief Interview for Mental
Status (BIMS) summary score
Because these data items collect data
that are similar in nature to, and overlap
with, data collected through the FIM TM
instrument and associated Function
Modifiers, we are proposing to remove
the FIM TM instrument and associated
Function Modifiers from the IRF–PAI
beginning with FY 2020 to reduce
administrative burden on IRFs.
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Currently, data elements in the
FIM TM instrument and associated
Function Modifiers capture data on
eating, grooming, bathing, dressing
upper body, dressing lower body,
toileting, bladder management, bowel
management, transfer to bed/chair/
wheelchair, transfer to toilet, transfer to
tub/shower, walking or wheelchair use,
stair climbing, comprehension,
expression, social interaction, problem
solving, and memory. The Function
Modifiers are used to assist in the
scoring of the related FIM TM instrument
data elements and provide additional
information as to how the FIM TM
instrument data element score has been
determined. For example, item 29
(Bladder Level of Assistance) and item
30 (Bladder Frequency of Accidents) are
used to determine the score for the item
39G, the Bladder data element
contained in the FIM TM instrument.
Data items in the Quality Indicators
section of the IRF–PAI capture data on
functional status, cognitive function,
and changes in function and cognitive
function among other elements used for
quality reporting. For example, the data
items in the Quality Indicators section
of the IRF–PAI capture data on eating,
oral hygiene, toileting hygiene, shower/
bathing, dressing upper body, dressing
lower body, bowel continence, bladder
continence, chair/bed-to-chair transfer,
toilet transfer, walking, stair climbing,
expression of ideas and wants,
understanding verbal and non-verbal
content, temporal orientation, and
memory/recall ability.
As the data elements in the FIM TM
instrument (item 39 of the IRF–PAI) and
associated Function Modifiers (items 29
through 38 of the IRF–PAI) overlap,
directly or indirectly, with data items in
the Quality Indicators section of the
IRF–PAI, and as we can now use data
items in the Quality Indicators section
of the IRF–PAI to assign patients to
CMGs for payment under the IRF PPS,
we believe that the collection of the
FIM TM instrument and associated
Function Modifiers is no longer
necessary. Accordingly, we believe that
continuing to collect the FIM TM
instrument and associated Function
Modifiers places undue burden on IRFs.
Additionally, the removal of the FIM TM
instrument and associated Function
Modifiers from the IRF–PAI supports
the broader goal to standardize data
collection across PAC settings as several
of the data items we are proposing to
incorporate into the IRF case-mix
system are similar to data elements that
are also collected on Skilled Nursing
Facility (SNF) and LTCH assessment
instruments. For a discussion of how
the data items located in the Quality
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Indicators section of the IRF–PAI will be
incorporated into the case-mix
classification system please refer to
section VII.B of this proposed rule. In
support of our goal to reduce
administrative burden on providers, we
are proposing to remove the FIM TM
instrument (item 39) and associated
Function Modifiers (items 29 through
38) from the IRF–PAI beginning with FY
2020, that is, for all IRF discharges
beginning on or after October 1, 2019.
We invite public comment on our
proposal to remove the FIM TM
instrument and associated Function
Modifiers from the IRF–PAI beginning
with FY 2020, that is, for all IRF
discharges beginning on or after October
1, 2019.
B. Proposed Refinements to the CaseMix Classification System Beginning
With FY 2020
1. IRF Classification System Overview
Section 1886(j)(2) of the Act requires
the Secretary to establish case-mix
groups for payment under the IRF PPS.
Under section 1886(j)(2)(B) of the Act,
the Secretary must assign each case-mix
group a weighting factor that reflects the
relative facility resources used for
patients classified within the group as
compared to patients classified within
other groups. Additionally, section
1886(j)(2)(C)(i) of the Act requires the
Secretary from time to time to adjust the
classifications and weighting factors as
appropriate to reflect changes in
treatment patterns, technology, casemix, number of payment units for which
payment is made under title XVIII of the
Act, and other factors which may affect
the relative use of resources. Such
adjustments must be made in a manner
so that changes in aggregate payments
under the classification system are a
result of real changes and are not a
result of changes in coding that are
unrelated to real changes in case mix.
In the FY 2002 IRF PPS final rule (66
FR 41316), we established a case-mix
classification system for IRFs under the
IRF PPS. Under the case-mix
classification system, a patient’s
principal diagnosis or impairment is
used to classify the patient into a RIC.
The patient is then placed into a CMG
within the RIC, based on the patient’s
functional status (motor and cognitive
scores) and sometimes age. Other
special circumstances, such as the
occurrence of very short stays, or cases
where the patient expired, are also
considered in determining the
appropriate CMG. CMGs are further
divided into tiers based on the presence
of certain comorbidities. These tiers
reflect the differential cost of care
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20989
compared with the average beneficiary
in a CMG. We refer readers to the FY
2002 final rule (66 FR 41316) and the
FY 2006 IRF final rule (70 FR 47886) for
a detailed discussion of the
development of, and refinements to, the
IRF case-mix classification system.
As discussed in section VII.A of this
proposed rule, we are proposing to
remove the FIM TM instrument and
associated Function Modifiers from the
IRF–PAI beginning with FY 2020, that
is, for all IRF discharges beginning on or
after October 1, 2019. This would
necessitate the incorporation of the data
items collected on admission and
located in the Quality Indicators section
of the IRF–PAI version 2.0 into the CMG
classification system, as the FIM TM data
would no longer be available to assign
patients to CMGs for purposes of
payment under the IRF PPS. In
accordance with section 1886(j)(2)(C)(i)
of the Act and as specified in
§ 412.620(c) we are proposing to replace
our use of the FIM TM items in assigning
CMGs with use of data items located in
the Quality Indicators section of the
IRF–PAI. In addition, to ensure that IRF
payments are accurately calculated
using the data items located in the
Quality Indicators section of the IRF–
PAI, we also propose to update the
functional status scores used in the
case-mix system and to revise the CMGs
and update the relative weights and
average length of stay values associated
with the revised CMGs. We propose to
implement these revisions to the casemix classification system in a budget
neutral manner.
We are proposing to make these
changes effective beginning with FY
2020, that is, for discharges occurring on
or after October 1, 2019, as they require
extensive systems changes. That is, we
are proposing to implement these
changes with a one-year delayed
effective date to allow adequate time for
providers and vendors to make the
necessary systems changes. These
proposals are discussed in detail below.
We are not proposing any changes to the
methodology used to update the CMGs,
relative weights and average length of
stay values for FY 2019, that is, for
discharges occurring on or after October
1, 2018, and on or before September 30,
2019. For information on the proposed
updates to the CMG relative weights and
average length of stay values for FY
2019, please refer to section III of this
proposed rule.
2. Proposed Changes to the Functional
Status Scores Beginning With FY 2020
As discussed in the FY 2006 IRF final
rule (70 FR 47886), under the CMG casemix classification system, a patient’s
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principal diagnosis or impairment is
used to classify the patient into a RIC.
After using the RIC to define the first
division among the inpatient
rehabilitation groups, a patient’s motor
and cognitive scores and age are used to
partition the cases further. To classify a
patient into a CMG, IRFs use the
admission assessment data from the
IRF–PAI to score a patient’s functional
status. Currently, the functional status
scores consist of what are termed
‘‘motor’’ items and ‘‘cognitive’’ items. In
addition to the functional status scores,
the patient’s age may also influence the
patient’s CMG classification. The motor
items are generally indications of the
patient’s physical functioning level. The
cognitive items are generally indications
of the patient’s mental functioning level,
and are related to the patient’s ability to
process and respond to empirical factual
information, use judgment, and
accurately perceive what is happening.
Under the current case-mix system, the
motor and cognitive scores are derived
from a combination of data elements in
the FIM TM instrument (item 39 of the
IRF–PAI). Eating, grooming, bathing,
dressing upper body, dressing lower
body, toileting, bladder management,
bowel management, transfer to bed/
chair/wheelchair, transfer to toilet,
walking or wheelchair use, and stair
climbing are the data elements collected
through the FIM TM instrument that are
currently used to compute a patient’s
weighted motor score. Comprehension,
expression, social interaction, problem
solving, and memory are the data
elements collected through the FIM TM
instrument that are used to compute a
patient’s cognitive score. Each data
element is recorded on the IRF–PAI and
scored on a scale of 1 to 7, with a 7
indicating complete independence in
this area of functioning, and a one
indicating that a patient is very
impaired in this area of functioning.
Additionally, a value of zero is used to
indicate that an activity did not occur.
The scores for each data element above
are then used to determine the patient’s
weighted motor score and cognitive
score, which may be used to group a
patient into a CMG for payment
purposes under the IRF PPS.
As discussed in section VII.A of this
proposed rule, we are proposing to
remove the FIM TM instrument and
associated Function Modifiers from the
IRF–PAI beginning with FY 2020. As
the data in the FIM TM instrument
section will no longer be available to
determine the motor and cognitive
scores used to assign patients to CMGs,
we are proposing to use data items
collected on admission and located in
VerDate Sep<11>2014
19:45 May 07, 2018
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the Quality Indicators section of the
IRF–PAI to derive the functional status
scores used to assign patients to a CMG
for payment purposes under the IRF
PPS. The Quality Indicators section of
the IRF–PAI includes data items that are
similar to the data elements located in
the FIM TM instrument, in addition to
new data elements that capture
additional functional status information.
In the summer of 2013, we contracted
with Research Triangle Institute,
International (RTI) to explore use of the
data items collected in the Quality
Indicators section of the IRF–PAI in
setting IRF PPS payments. Some of the
data items collected in the Quality
Indicators section of the IRF–PAI were
originally developed and tested as part
of the Post-Acute Care Payment Reform
Demonstration (PAC–PRD) version of
the Continuity Assessment Record and
Evaluation (CARE) Item Set. The CARE
item set was developed in response to
a mandate in section 5008 of the Deficit
Reduction Act of 2005 (Pub. L. 109–171,
enacted on February 8, 2006) (DRA) to
develop a uniform patient assessment
instrument to assess patients across all
types of acute and PAC providers.
In the first stage of this analysis, RTI
hosted a Technical Expert Panel (TEP)
on September 18, 2014, which brought
together researchers, clinicians, and
representatives from provider
associations to discuss exploratory
research on the potential to incorporate
the CARE data items in the current casemix system utilized in the IRF PPS. We
received helpful feedback on the
exploratory research including
clinicians’ views of the importance and
significance of various findings, input
on the methodology used to incorporate
the CARE items, and potential
limitations of the analysis. RTI’s
analysis of the original CARE data set,
along with guidance from the TEP,
suggested the need to derive different
functional status measures from the data
collected in the Quality Indicators
section of the IRF–PAI. The data items
from the Quality Indicators section of
the IRF–PAI contain slightly different
information and utilize a different rating
system than the items collected on the
FIM TM instrument. Thus, we are
proposing to modify the IRF case-mix
classification system to calculate IRF
PPS payments correctly using the
admission data items from the Quality
Indicators section of the IRF–PAI. RTI
considered a broad range of the data
items in the Quality Indicators section
of the IRF–PAI to identify the best
predictors of IRF costs. These analyses
examined all motor, cognitive, and
additional items collected at admission
to predict costs. The regression analysis
PO 00000
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Fmt 4701
Sfmt 4702
indicated that the components of
functional status that were found to best
predict costs were the patient’s motor
function, a memory function, a
communication function based on
comprehension and expression, and age.
The proposed motor items used to
derive the additive motor score are
eating, oral hygiene, toileting hygiene,
shower bathe/self, upper body dressing,
lower body dressing, putting on/taking
off footwear, bladder continence, bowel
continence, roll left and right, sit to
lying, lying to sitting on side of bed, sit
to stand, chair/bed-to-chair transfer,
toilet transfer, walk 10 feet, walk 50 feet
with two turns, walk 150 feet, and 1
step (curb). The proposed item used to
derive the memory score is the BIMS
summary score, which is based on the
repetition of three words, temporal
orientation, and recall. The proposed
communication score is derived from
the hearing, speech, and vision items
including expression of ideas and wants
and understanding verbal and nonverbal content. We are proposing to
incorporate a motor score, a memory
score, a communication score, and age
into the IRF case-mix classification
system. Currently, the IRF case-mix
system uses a weighted motor score and
an unweighted cognitive score. We are
not proposing to apply a weighting
methodology to the motor score at this
time. We are proposing to derive the
scores for each respective group of the
functional status items described above
by calculating the sum of the items that
constitute each functional status
component. For a more detailed
discussion of these analysis please refer
to the technical report, ‘‘Analyses to
Inform the Potential Use of
Standardized Patient Assessment Data
Elements in the Inpatient Rehabilitation
Facility Prospective Payment System,’’
available at https://www.cms.gov/
Medicare/Medicare-Fee-for-ServicePayment/InpatientRehabFacPPS/
Research.html.
At this time, we believe that it is
appropriate to utilize the admission data
items located in the Quality Indicators
section of the IRF–PAI, as described
above, in place of the FIM TM items to
determine functional status, as the data
items located in the Quality Indicators
section are now available and collected
by all IRF providers for purposes of the
IRF QRP. We believe the proposed
motor score, a memory score, a
communication score, and age should
compose the functional status scores in
the IRF case-mix classification system,
as our analysis determined these to be
the best predictors of cost. The proposed
removal of the FIM TM instrument and
the proposed incorporation of certain
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sradovich on DSK3GMQ082PROD with PROPOSALS3
items from the Quality Indicators
section of the IRF–PAI to assign patients
to CMGs support our efforts to reduce
burden on providers. Additionally, the
removal of the FIM TM instrument and
the incorporation of certain items from
the Quality Indicators section of the
IRF–PAI into the CMG case-mix system
support our broader goal of
standardizing assessment data
collection across PAC settings.
We are proposing to utilize certain
data items located in the Quality
Indicators section of the IRF–PAI, as
described above, to generate the
functional status scores that will be
used to group patients into CMGs for
payment purposes under the IRF PPS
beginning in FY 2020.
We invite public comments on the
proposed use of certain data items
located in the Quality Indicators section
of the IRF–PAI, as described above, for
payment purposes under the IRF PPS
beginning with FY 2020, that is, for all
IRF discharges beginning on or after
October 1, 2019.
3. Proposed Updates to the Score
Reassignment Methodology Beginning
With FY 2020
As previously noted, the data items
located in the Quality Indicators section
of the IRF–PAI utilize a different rating
system than the FIM TM instrument.
There are several important differences
to note regarding the rating systems for
the data items from the Quality
Indicators section of the IRF–PAI and
the data contained in the FIM TM
instrument. First, the data items from
the Quality Indicators section of the
IRF–PAI are assessed based on a
patient’s usual performance during the
assessment period in contrast to the
FIM TM items, which are assessed based
on the patients lowest functional score
during the assessment period. The data
items from the Quality Indicators
section of the IRF–PAI are generally
assessed using a 6 level rating scale for
the self-care and mobility elements and
a 4 level scale for the cognitive
elements. The FIM TM data items use a
7 level scale. Additionally, the FIM TM
scale includes a value of zero to indicate
an activity did not occur or was not
observed. The data items from the
Quality Indicators section of the IRF–
PAI utilize the following four codes to
indicate why an activity did not occur:
the patient refused to complete an
activity (code 07), the patient did not
perform this activity (code 09), the
activity was not attempted due to
environmental limitations (code 10), or
the activity was not attempted due to a
medical condition or safety concern
(code 88).
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19:45 May 07, 2018
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As the rating scale for the data items
in the Quality Indicators section of the
IRF–PAI captures multiple reasons an
activity did not occur, we are proposing
to modify the methodology currently
used to reassign values indicating an
activity did not occur or was not
observed, when they are recorded on an
item used for payment, beginning with
FY 2020. Currently, when a code of 0
appears for one of the FIM TM items on
the IRF–PAI used to determine
payment, the item is reassigned another
value to determine the appropriate
payment for the patient. In the FY 2002
IRF PPS final rule (66 FR 41316), we
finalized a methodology to assign a code
of 1 (indicating the patient needed total
assistance) whenever the recorded code
indicated that the activity did not occur.
Subsequently, in the FY 2006 IRF PPS
final rule, we revised this methodology
to assign a value of 2 when the transfer
to toilet item was coded with a zero
value. For more information on the
rationale behind this decision we refer
readers to the 2006 IRF PPS final rule
(70 FR 47896 through 47902). As the
data items from the Quality Indicators
section of the IRF–PAI now utilize 4
values to indicate an activity did not
occur and a dash to indicate ‘‘no
information’’, we are proposing to
modify the reassignment methodology
to incorporate the new codes. For the
self-care and mobility items identified
above, we are proposing to recode
values of 07, 09, 10, 88, and the
presence of a dash (‘‘-’’) to 1, the most
dependent level, except the toilet
transfer item, which is recoded to 2.
These recodes are consistent with the
current reassignment methodology
rules. We are also proposing to change
the way we treat specific values for the
bowel continence and bladder
continence items, as our analysis of
these items and current coding
guidelines indicate these changes are
necessary. The bladder continence and
bowel continence items utilize a
different scale than the other function
items and may capture clinical
information that is not necessarily
reflective of a patient’s functional
ability. For instance, the bladder
continence scale includes the options
‘‘no urine output’’ or ‘‘not applicable’’
for cases where a patient may have renal
failure or an indwelling catheter. A
clinical review of these cases
determined that patients for whom these
values are coded are similar in terms of
resource needs and costliness to
patients for whom functional ability is
captured. Based on this review, we are
proposing to recode these values to be
able to score the functional status of a
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Frm 00021
Fmt 4701
Sfmt 4702
20991
patient when these values are coded on
the IRF–PAI. For the bladder continence
item, we are proposing to reassign a
value of 1 (stress incontinence only) to
0 (always continent), a value of 5 (no
urine output) to 0 (always continent),
and a value of 9 (not applicable) to 4
(always incontinent). For the bowel
continence item, we are proposing to
reassign a value of 9 (not rated) to 2
(frequently incontinent). For both items,
we are proposing to reassign a missing
score to 0 (always continent). We
believe these changes are necessary to
update the score reassignment
methodology used to derive the
functional status scores to reflect use of
the new data items from the Quality
Indicators section of the IRF–PAI and to
accurately assign payments based on a
patients’ expected costliness.
We welcome public comments on the
proposed updates to the score
reassignment methodology beginning
with FY 2020, that is, for all IRF
discharges beginning on or after October
1, 2019.
4. Proposed Refinements to the CMGs
Beginning With FY 2020
As previously noted, we are
proposing to modify the methodology
used to update the CMGs used to
classify IRF patients for purposes of
establishing payment amounts,
beginning with FY 2020. We are
proposing to implement revisions to the
CMGs in a budget-neutral manner. As
discussed in the FY 2006 IRF PPS final
rule (70 FR 47886 through 47887), the
current CMGs were derived through
Classification and Regression Trees
(CART) analysis that incorporated a
patient’s functional status (motor score
and cognitive score) and age into the
construction of the CMGs. Under the
IRF case-mix classification system, a
patient’s principal diagnosis or
impairment is used to classify the
patient into a RIC. Currently, there are
21 diagnosis-based RICs. The RICs are
then further subdivided into 92 CMGs.
Of the 92 CMGs, patients are assigned
to 87 of the CMGs based on the patient’s
primary reason for rehabilitation care,
age and functional status. There are also
five special CMGs to account for very
short stays and for patients who expire
in the IRF.
The CART method is useful in
identifying statistical relationships
among data and, using these
relationships, constructing a predictive
model for organizing and separating a
large set of data into smaller, similar
groups. CART ensures that the proposed
CMGs recognize that patients with
clinically distinct resource needs are
appropriately grouped in the case-mix
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using the data items from the Quality
Indicators section of the IRF–PAI, RTI
first had to identify which quality
indicator data items would be the best
predictors of cost, as previously
discussed. Then, RTI used CART
analysis to modify the CMG definitions
to reflect the use of the different
assessment items.
To develop CMGs based on the data
items from the Quality Indicators
section of the IRF–PAI, RTI used CART
analysis to divide patients into payment
groups based on similarities in their
clinical characteristics and relative
costs. As part of this analysis, RTI
imposed certain restraints on these
groupings to decrease the resulting
number of CMGs (to ensure that the
payment system did not become unduly
classification system. CART is an
iterative process that creates initial
groups of patients then searches for
ways to split the initial groups to further
decrease the clinical and cost variances
within a group and increase the
explanatory power of the CMGs.
As noted previously, the data items
from the Quality Indicators section of
the IRF–PAI contain slightly different
information and utilize a different rating
system than the items collected on the
FIM TM instrument. Thus, we have to
update the IRF case-mix classification
system to ensure that IRF PPS payments
reflect as closely as possible the costs of
care when we convert to using the
admission data items from the Quality
Indicators section of the IRF–PAI. To
convert from using the FIM TM items to
complicated). For a more detailed
discussion of these analyses or for more
information on the development of the
CMGs, we refer readers to the technical
report, ‘‘Analyses to Inform the
Potential Use of Standardized Patient
Assessment Data Elements in the
Inpatient Rehabilitation Facility
Prospective Payment System’’, available
at https://www.cms.gov/Medicare/
Medicare-Fee-for-Service-Payment/
InpatientRehabFacPPS/Research.html.
In developing the revised CMGs, RTI’s
analysis indicated that RIC 16 and RIC
17 should incorporate the CMGs shown
in Table 8, based on motor score and
cognitive function, derived from the
memory and communication scores.
TABLE 8—CART-BASED CMGS FOR RIC 16 (PAIN SYNDROME) AND RIC 17 (MAJOR MULTIPLE TRAUMA WITHOUT BRAIN
OR SPINAL CORD INJURY)
RIC
16
16
16
16
17
17
17
17
17
17
CMG
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
Cases
1
2
3
4
1
2
3
4
5
6
Average Cost
255
270
188
260
1149
1557
624
927
289
205
We considered proposing to revise the
CMGs for RIC 16 and RIC 17 as shown
above. However, these CMGs indicate
higher costs for patients with no
cognitive impairment as compared to
those with any level of impairment. As
this unexpected result may be driven by
small sample size, we are proposing to
combine CMG 03 and 04 for RIC 16 and
$ 11,088.65
13,402.22
14,775.04
16,806.16
12,911.91
15,504.35
17,273.01
19,209.23
20,245.80
23,465.77
Rule 1
Motor
Motor
Motor
Motor
Motor
Motor
Motor
Motor
Motor
Motor
Rule 2
>= 70 ...................
< 70 .....................
< 61 .....................
< 61 .....................
>= 62 ...................
< 62 .....................
< 51 .....................
< 47 .....................
< 51 .....................
< 51 .....................
to combine CMG 05 and 06 for RIC 17
as shown in Table 9.
Table 9 contains the proposed new
CMGs and their respective descriptions,
including the functional status scores
and age that we are proposing to use to
classify discharges into CMGs. Table 9
also contains the proposed CMG relative
weights and average length of stay
values for the proposed CMGs. We are
Rule 3
........................................
Motor >= 61 ...................
Cognition < 7 .................
Cognition >= 7 ...............
........................................
Motor >= 51 ...................
Motor >= 47 ...................
Motor >= 39 ...................
Motor < 39 .....................
Motor < 39 .....................
Cognition < 8
Cognition >= 8
not proposing any changes to
methodology used to determine the
CMG relative weights that was finalized
in the FY 2002 IRF final rule (66 FR
41351 through 41357) and revised in the
FY 2009 IRF final rule (73 FR 46372
through 46374). For more information
on the methodology used to calculate
the CMG relative weights please refer to
section III. of this proposed rule.
TABLE 9—PROPOSED REVISED RELATIVE WEIGHTS AND AVERAGE LENGTH OF STAY VALUES FOR THE PROPOSED CASEMIX GROUPS
Relative weight
CMG
CMG Description (M=motor, A=age)
sradovich on DSK3GMQ082PROD with PROPOSALS3
Tier 1
0101
0102
0103
0104
0105
0106
0201
0202
....................
....................
....................
....................
....................
....................
....................
....................
0203 ....................
0204 ....................
0205 ....................
0301 ....................
0302 ....................
VerDate Sep<11>2014
Stroke M >= 77 ...............................
Stroke M < 77 and M >= 68 ............
Stroke M < 68 and M >= 55 ............
Stroke M < 55 and M >= 47 ............
Stroke M < 47 and A >= 85 ............
Stroke M < 47 and A < 85 ..............
Traumatic Brain Injury M >= 73 ......
Traumatic Brain Injury M < 73 and
M >= 64.
Traumatic Brain Injury M < 64 and
M >= 51.
Traumatic Brain Injury M < 51 and
M >= 36.
Traumatic Brain Injury M < 36 ........
Non-Traumatic Brain Injury M >= 70
Non-Traumatic Brain Injury M < 70
and M >= 57.
22:01 May 07, 2018
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Tier 2
Tier 3
Average length of stay
No comorbidity
tier
Tier 1
Tier 2
Tier 3
No comorbidity
tier
1.0570
1.3370
1.6848
2.1484
2.4137
2.7956
1.2418
1.4929
0.9232
1.1678
1.4715
1.8764
2.1081
2.4417
1.0426
1.2534
0.8492
1.0741
1.3535
1.7260
1.9391
2.2460
0.9376
1.1272
0.8050
1.0182
1.2831
1.6361
1.8382
2.1291
0.8708
1.0468
11
13
15
19
22
26
12
14
11
13
16
20
22
27
12
14
10
12
15
19
21
24
11
13
10
12
15
19
20
23
11
12
1.7699
1.4859
1.3363
1.2411
16
17
15
14
2.1753
1.8263
1.6424
1.5254
21
20
18
17
2.6959
1.2192
1.5403
2.2634
1.0096
1.2755
2.0355
0.9348
1.1810
1.8904
0.8735
1.1034
36
11
14
24
11
14
22
11
13
19
10
13
Frm 00022
Fmt 4701
Sfmt 4702
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TABLE 9—PROPOSED REVISED RELATIVE WEIGHTS AND AVERAGE LENGTH OF STAY VALUES FOR THE PROPOSED CASEMIX GROUPS—Continued
Relative weight
CMG
CMG Description (M=motor, A=age)
Tier 1
0303 ....................
0304 ....................
0305 ....................
0401 ....................
0402 ....................
0403 ....................
0404 ....................
0405 ....................
0406 ....................
0501 ....................
0502 ....................
0503 ....................
0504 ....................
0505 ....................
0601
0602
0603
0604
0701
....................
....................
....................
....................
....................
0702 ....................
0703 ....................
0704 ....................
0801 ....................
0802 ....................
0803 ....................
0804 ....................
0901 ....................
0902 ....................
0903 ....................
0904 ....................
1001 ....................
1002 ....................
sradovich on DSK3GMQ082PROD with PROPOSALS3
1003 ....................
1004
1101
1201
1202
1203
1301
1302
....................
....................
....................
....................
....................
....................
....................
1303 ....................
1304 ....................
1401
1402
1403
1404
1501
1502
....................
....................
....................
....................
....................
....................
VerDate Sep<11>2014
Non-Traumatic Brain Injury M < 57
and M >= 45.
Non-Traumatic Brain Injury M < 45
and A >= 79.
Non-Traumatic Brain Injury M < 45
and A < 79.
Traumatic Spinal Cord Injury M >=
64.
Traumatic Spinal Cord Injury M <
64 and M >= 57.
Traumatic Spinal Cord Injury M <
57 and M >= 46.
Traumatic Spinal Cord Injury M <
46 and M >= 36.
Traumatic Spinal Cord Injury M <
36 and A < 63.
Traumatic Spinal Cord Injury M <
36 and A >= 63.
Non-Traumatic Spinal Cord Injury M
>= 75.
Non-Traumatic Spinal Cord Injury M
< 75 and M >= 63.
Non-Traumatic Spinal Cord Injury M
< 63 and M >= 52.
Non-Traumatic Spinal Cord Injury M
< 52 and M >= 44.
Non-Traumatic Spinal Cord Injury M
< 44.
Neurological M >= 69 ......................
Neurological M < 69 and M >= 57 ..
Neurological M < 57 and M >= 47 ..
Neurological M < 47 ........................
Fracture of Lower Extremity M >=
67.
Fracture of Lower Extremity M < 67
and M >= 55.
Fracture of Lower Extremity M < 55
and M >= 45.
Fracture of Lower Extremity M < 45
Replacement of Lower Extremity
Joint M >= 67.
Replacement of Lower Extremity
Joint M < 67 and M >= 56.
Replacement of Lower Extremity
Joint M < 56 and M >= 47.
Replacement of Lower Extremity
Joint M < 47.
Other Orthopedic M >= 69 ..............
Other Orthopedic M < 69 and M >=
55.
Other Orthopedic M < 55 and M >=
47.
Other Orthopedic M < 47 ................
Amputation Lower Extremity M >=
67.
Amputation Lower Extremity M < 67
and M >= 59.
Amputation Lower Extremity M < 59
and M >= 49.
Amputation Lower Extremity M < 49
Amputation Non-Lower Extremity ...
Osteoarthritis M >= 65 ....................
Osteoarthritis M < 65 and M >= 49
Osteoarthritis M < 49 .......................
Rheumatoid Other Arthritis M >= 69
Rheumatoid Other Arthritis M < 69
and M >= 58.
Rheumatoid Other Arthritis M < 58
and A >= 72.
Rheumatoid Other Arthritis M < 58
and A < 72.
Cardiac M >= 70 .............................
Cardiac M < 70 and M >= 59 ..........
Cardiac M < 59 and M >= 51 ..........
Cardiac M < 51 ................................
Pulmonary M >= 84 .........................
Pulmonary M < 84 and M >= 74 .....
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Tier 2
Tier 3
Average length of stay
No comorbidity
tier
Tier 1
Tier 2
Tier 3
No comorbidity
tier
1.8496
1.5316
1.4182
1.3251
17
16
15
15
2.0666
1.7113
1.5846
1.4806
20
18
17
16
2.2755
1.8843
1.7447
1.6302
21
21
18
17
1.2999
1.0952
1.0122
0.9370
13
12
12
11
1.6630
1.4011
1.2949
1.1987
15
15
15
14
1.9672
1.6574
1.5318
1.4180
15
18
17
16
2.6209
2.2082
2.0408
1.8892
25
24
23
21
3.1923
2.6895
2.4857
2.3010
34
29
27
24
3.6963
3.1142
2.8782
2.6643
46
34
28
29
1.1291
0.9068
0.8382
0.7642
10
11
10
9
1.4096
1.1322
1.0464
0.9541
14
13
12
11
1.7905
1.4381
1.3292
1.2119
16
15
15
14
2.2191
1.7823
1.6473
1.5020
21
19
18
17
2.8377
2.2792
2.1065
1.9206
27
24
22
21
1.3205
1.6324
1.9170
2.2218
1.1960
1.0500
1.2981
1.5244
1.7667
0.9851
0.9795
1.2109
1.4220
1.6481
0.9487
0.8873
1.0969
1.2882
1.4929
0.8595
12
14
16
20
11
12
14
16
18
11
11
13
15
17
11
10
13
14
16
10
1.5308
1.2608
1.2142
1.1001
14
14
14
13
1.8510
1.5245
1.4682
1.3302
17
17
16
15
2.0790
1.0475
1.7124
0.8892
1.6491
0.8044
1.4941
0.7437
18
10
18
10
18
9
17
9
1.2925
1.0972
0.9926
0.9176
12
12
11
11
1.5469
1.3132
1.1880
1.0982
15
15
13
12
1.8517
1.5719
1.4220
1.3146
16
17
15
15
1.1749
1.5103
0.9376
1.2052
0.8792
1.1302
0.8083
1.0390
11
13
11
14
10
13
10
12
1.8117
1.4457
1.3557
1.2463
15
16
15
14
2.0393
1.3231
1.6273
1.1340
1.5261
1.0276
1.4029
0.9487
17
12
17
13
16
12
16
11
1.6372
1.4032
1.2715
1.1739
15
15
14
14
1.8961
1.6251
1.4726
1.3596
17
16
16
15
2.1617
1.8322
1.3071
1.6787
1.9145
1.1111
1.3176
1.8527
1.3022
1.0757
1.3816
1.5756
0.9753
1.1567
1.6788
1.3022
0.9575
1.2297
1.4024
0.9076
1.0764
1.5500
1.0585
0.8777
1.1273
1.2857
0.8570
1.0164
19
15
11
14
16
10
12
20
14
12
15
16
11
13
18
13
11
14
16
10
12
17
12
11
13
15
11
12
1.6691
1.4652
1.3635
1.2875
13
17
14
14
1.7642
1.5487
1.4412
1.3609
14
17
15
15
1.1839
1.4635
1.7034
1.9704
1.0149
1.2323
0.9920
1.2263
1.4272
1.6510
0.9214
1.1187
0.8991
1.1115
1.2936
1.4964
0.8346
1.0133
0.8023
0.9918
1.1544
1.3353
0.7907
0.9601
11
13
15
18
7
11
11
13
15
17
10
12
10
12
14
16
9
11
9
11
13
14
9
10
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TABLE 9—PROPOSED REVISED RELATIVE WEIGHTS AND AVERAGE LENGTH OF STAY VALUES FOR THE PROPOSED CASEMIX GROUPS—Continued
Relative weight
CMG
CMG Description (M=motor, A=age)
Tier 1
1503
1504
1505
1601
1602
....................
....................
....................
....................
....................
1603 ....................
1701 ....................
1702 ....................
1703 ....................
1704 ....................
1705 ....................
1801 ....................
1802 ....................
1803 ....................
1804 ....................
1901
1902
2001
2002
2003
2004
2101
5001
....................
....................
....................
....................
....................
....................
....................
....................
5101 ....................
5102 ....................
5103 ....................
sradovich on DSK3GMQ082PROD with PROPOSALS3
5104 ....................
Pulmonary M < 74 and M >= 59 .....
Pulmonary M < 59 and M >= 46 .....
Pulmonary M < 46 ...........................
Pain Syndrome M >= 70 .................
Pain Syndrome M < 70 and M >=
61.
Pain Syndrome M < 61 ...................
Major Multiple Trauma Without
Brain or Spinal Cord Injury M >=
62.
Major Multiple Trauma Without
Brain or Spinal Cord Injury M <
62 and M >= 51.
Major Multiple Trauma Without
Brain or Spinal Cord Injury M <
51 and M >= 47.
Major Multiple Trauma Without
Brain or Spinal Cord Injury M <
47 and M >= 39.
Major Multiple Trauma Without
Brain or Spinal Cord Injury M <
39.
Major Multiple Trauma With Brain
or Spinal Cord Injury M >= 72.
Major Multiple Trauma With Brain
or Spinal Cord Injury M < 72 and
M >= 58.
Major Multiple Trauma With Brain
or Spinal Cord Injury M < 58 and
M >= 42.
Major Multiple Trauma With Brain
or Spinal Cord Injury M < 42.
´
Guillain-Barre M >= 54 ....................
´
Guillain-Barre M < 54 ......................
Miscellaneous M >= 70 ...................
Miscellaneous M < 70 and M >= 58
Miscellaneous M < 58 and M >= 49
Miscellaneous M < 49 .....................
Burns ...............................................
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.
Expired, not orthopedic, length of
stay is 15 days or fewer.
Expired, not orthopedic, length of
stay is 16 days or more.
The following would be the most
significant differences between the
current CMGs and the proposed revised
CMGs:
• There would be fewer CMGs than
before (88 instead of 92 currently).
• There would be fewer CMGs in
RICs 1, 2, 5, 8, 11, and 19, while there
would be more CMGs in RICs 3, 4, 10,
13, 15, 17, and 18.
• A patient’s age would affect
assignment for CMGs in RICs 1, 3, 4,
and 13 whereas it currently affects
assignment for CMGs in RICs 1, 4, and
8.
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Tier 2
Tier 3
Average length of stay
No comorbidity
tier
Tier 1
Tier 2
Tier 3
No comorbidity
tier
1.4557
1.7464
2.0273
1.2293
1.5216
1.3215
1.5853
1.8404
0.9242
1.1439
1.1970
1.4360
1.6670
0.8776
1.0863
1.1341
1.3606
1.5794
0.7774
0.9622
13
15
20
10
12
13
15
17
11
12
12
14
15
10
12
12
14
16
10
11
1.8391
1.4355
1.3826
1.1154
1.3129
1.0668
1.1630
0.9504
13
14
15
13
14
12
13
11
1.7939
1.3938
1.3330
1.1876
16
15
15
14
2.0059
1.5585
1.4906
1.3280
17
16
16
15
2.1848
1.6975
1.6236
1.4465
19
18
17
16
2.4250
1.8841
1.8020
1.6055
21
21
19
17
1.1980
1.0351
0.8752
0.8233
13
11
10
10
1.5335
1.3250
1.1204
1.0539
14
16
12
12
2.0608
1.7806
1.5056
1.4162
23
19
16
16
2.9220
2.5248
2.1348
2.0081
34
25
23
22
1.5211
3.4558
1.2339
1.5240
1.7837
2.0373
1.9058
................
1.2331
2.8014
1.0047
1.2410
1.4525
1.6589
1.5390
................
1.1228
2.5507
0.9349
1.1547
1.3515
1.5436
1.5118
................
1.0834
2.4613
0.8447
1.0433
1.2211
1.3947
1.3015
0.1801
16
39
11
14
16
19
22
................
15
28
11
13
15
17
16
................
12
27
10
12
14
16
16
................
13
27
10
12
14
15
14
3
................
................
................
0.6240
................
................
................
7
................
................
................
1.7071
................
................
................
18
................
................
................
0.6795
................
................
................
7
................
................
................
2.1069
................
................
................
21
We are proposing to utilize the CMGs
based on the data items from the Quality
Indicators section of the IRF–PAI to
classify IRF patients for purposes of
establishing payment under the IRF PPS
beginning with FY 2020. We are
proposing to implement these revisions
in a budget neutral manner. For more
information on the specific impacts of
this proposal, we refer readers to Table
10. We are also proposing to update the
CMG relative weights and average
length of stay values associated with the
proposed CMGs based on the data items
from the Quality Indicators section of
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the IRF–PAI. We believe it is
appropriate to update the CMGs and
relative weights for FY 2020 to better
align IRF payments with the costs of
caring for IRF patients, given the new
information that is captured by the data
items from the Quality Indicators
section of the IRF–PAI. Additionally,
changes in treatment patterns,
technology, case-mix, and other factors
affecting the relative use of resources in
IRFs since the current CMGs were last
revised, likely require an update to the
classification system.
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TABLE 10—DISTRIBUTIONAL EFFECTS OF THE PROPOSED CHANGES TO THE CMGS
Facility classification
Number of
IRFs
Number of
Cases
(1)
(2)
Percent
Change in
Mean
Payment
(3)
(4)
sradovich on DSK3GMQ082PROD with PROPOSALS3
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 ........................................................................................................................
Teaching ...............................................................................................................................
Bed Size:
< 25 .......................................................................................................................................
25–49 ....................................................................................................................................
50–74 ....................................................................................................................................
75–99 ....................................................................................................................................
100–124 ................................................................................................................................
125+ ......................................................................................................................................
Table 10 shows how we estimate that
the application of the proposed
revisions to the case-mix system for FY
2020 would affect particular groups.
Table 10 categorizes IRFs by geographic
location, including urban or rural
location, and location for CMS’s 9
Census divisions 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 bed size. The
proposed changes to the case-mix
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classification system are expected to
affect the overall distribution of
payments across CMGs. Note that,
because we propose to implement the
revisions to the case-mix classification
system in a budget-neutral manner, total
estimated aggregate payments to IRFs
would not be affected as a result of the
proposed revisions to the CMGs.
However, these proposed revisions may
affect the distribution of payments
across CMGs.
We invite public comment on the
proposed refinements to the CMGs
beginning with FY 2020, that is, for all
discharges beginning on or after October
1, 2019.
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1,111
702
133
265
11
339
37
529
84
99
23
967
144
369,684
155,121
20,074
190,431
4,058
185,702
7,388
137,321
13,338
22,529
3,406
345,552
24,132
0
3
3
¥2
¥1
¥2
2
2
2
3
4
0
2
29
134
144
173
56
73
180
81
97
15,514
48,194
69,040
46,132
24,250
18,333
75,717
26,683
21,689
¥2
¥2
0
3
¥1
0
¥1
¥1
4
4
11
16
21
21
21
40
7
3
1,048
1,244
3,491
3,599
4,174
2,829
6,765
722
260
¥6
3
¥1
2
4
2
4
4
2
842
269
303,102
66,582
¥1
2
563
314
134
58
19
23
85,835
107,858
85,923
48,564
14,527
26,977
3
1
¥1
¥2
¥2
¥1
VIII. Proposed Revisions to Certain IRF
Coverage Requirements Beginning With
FY 2019
We are committed to transforming the
health care delivery system, and the
Medicare program, by putting an
additional focus on patient-centered
care and working with providers and
physicians to improve patient outcomes.
As an agency, we recognize it is
imperative that we develop and
implement policies that allow providers
and physicians to focus the majority of
their time treating patients rather than
completing paperwork. Moreover, we
believe it is essential for us to reexamine
current regulations and administrative
requirements, to assure that we are not
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placing unnecessary burden on
providers.
We believe the agency initiative of
treating patients over paperwork will
improve patient outcomes, decrease
provider costs, and ensure that patients
and providers are making the best heath
care choices possible. In the FY 2018
IRF PPS proposed rule (82 FR 20743),
we included a request for information
(RFI) to solicit comments from
stakeholders requesting information on
CMS flexibilities and efficiencies. The
purpose of the RFI was to receive
feedback regarding ways in which we
could reduce burden for hospitals and
physicians, improve quality of care,
decrease costs and ensure that patients
receive the best care. We received
comments from IRF industry
associations, state and national hospital
associations, industry groups
representing hospitals, and individual
IRF providers in response to the
solicitation. We are appreciative of the
feedback. As discussed in more detail in
each of the proposals below, we are in
some cases using the commenters’
specific suggestions to propose changes
to regulatory requirements to alleviate
provider burden. In other cases,
however, we are proposing additional
changes to the regulatory requirements
that we believe will be responsive to
stakeholder feedback and helpful to
providers in reducing administrative
burden.
In the FY 2010 IRF PPS final rule (74
FR 39788 through 39798), we updated
the IRF coverage criteria requirements to
reflect changes that had occurred in
medical practice since the IRF PPS was
first implemented in 2002. IRF care is
only considered by Medicare to be
reasonable and necessary under section
1862(a)(1) of the Act if the patient meets
all of the IRF coverage requirements
outlined in § 412.622(a)(3), (4), and (5).
Failure to meet the IRF coverage criteria
in a particular case will result in denial
of the IRF claim. The IRF coverage
requirements have not been updated
since they became effective on January
1, 2010. To reduce unnecessary burden
on IRF providers and physicians, we are
proposing to revise the current IRF
coverage criteria as suggested by some
of the comments received in response to
the RFI. Specifically, we are focused on
reducing documentation requirements
that we believe have become overly
burdensome to IRF providers over time.
A. Proposed Changes to the Physician
Supervision Requirement Beginning
With FY 2019
In response to the RFI, several
commenters suggested that we consider
decreasing the number of required
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weekly face-to-face visits that the
rehabilitation physician must complete.
Commenters suggested that the decrease
in visits would not only assist with
reducing the documentation burden on
rehabilitation physicians, but it would
also afford the rehabilitation physician
more time to focus on higher-acuity,
more complex patients resulting in
improved outcomes and lower
readmission rates. Additionally, we
received comments suggesting that we
consider either eliminating the postadmission physician evaluation
altogether in an effort to reduce
paperwork and duplicative
requirements or that we allow the postadmission physician evaluation to count
as one of the required face-to-face visits
completed by the rehabilitation
physician. We agree with the
commenters and are proposing to move
forward with a combination of these two
suggested ideas in order to reduce
unnecessary burden on rehabilitation
physicians.
Under § 412.622(a)(3)(iv), for an IRF
claim to be considered reasonable and
necessary under section 1862(a)(1) of
the Act, there must be a reasonable
expectation at the time of the patient’s
admission to the IRF that the patient
requires physician supervision by a
rehabilitation physician, defined as a
licensed physician with specialized
training and experience in inpatient
rehabilitation. The requirement for
medical supervision means that the
rehabilitation physician must conduct
face-to-face visits with the patient at
least 3 days per week throughout the
patient’s stay in the IRF to assess the
patient both medically and functionally,
as well as modify the course of
treatment as needed to maximize the
patient’s capacity to benefit from the
rehabilitation process. Under
§ 412.622(a)(4)(ii), to document that
each patient for whom the IRF seeks
payment is reasonably expected to meet
all of the requirements in § 412.622(a)(3)
at the time of admission, the patient’s
medical record at the IRF must contain
a post-admission physician evaluation
that meets all of the requirements
specified in the regulation. For more
information, we refer readers to the
Medicare Benefit Policy Manual,
chapter 1, sections 110.1.2 and 110.2.4
(Pub. 100–02), which can be
downloaded from the CMS website at
https://www.cms.gov/Regulations-andGuidance/Guidance/Manuals/internetOnly-Manuals-IOMs.html.
While the purpose of the physician
supervision requirement is to ensure
that the patient’s medical and functional
statuses are being continuously
monitored as the patient’s overall plan
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Sfmt 4702
of care is being carried out, the purpose
of the post-admission physician
evaluation is to document the patient’s
status on admission, identify any
relevant changes that may have
occurred since the preadmission
screening, and provide the
rehabilitation physician with the
necessary information to begin
development of the patient’s overall
plan of care. When the coverage criteria
were initially implemented, we believed
that the post-admission physician
evaluation should not be used as a way
to fulfill one of the face-to-face visits
required under § 412.622(a)(3)(iv)
because we considered them to be
different types of assessments. We also
believed it was in the patient’s best
interest to be seen by a rehabilitation
physician at least four times in the first
week of the IRF admission when the
patient is in the most critical phase of
their recovery process.
While we continue to believe that the
post-admission physician evaluation
and the face-to-face physician visits are
two different types of assessments, after
reevaluating these coverage criteria, we
believe that the rehabilitation physician
should have the flexibility to assess the
patient and conduct the post-admission
physician evaluation during one of the
three face-to-face physician visits
required in the first week of the IRF
admission. Additionally, based on the
comments that we received in response
to the RFI, we believe that it should be
the responsibility of the rehabilitation
physician to use his or her best clinical
judgment to determine whether the
patient needs to be seen more than three
times in the first week of the IRF
admission. Therefore, allowing these
two requirements to be met
concurrently would reduce redundancy
and regulatory burden while still
ensuring adequate care to the patient.
Therefore, we are proposing to modify
§ 412.622(a)(3)(iv) to provide that the
post-admission physician evaluation
required under § 412.622(a)(4)(ii) may
count as one of the face-to-face
physician visits required under
§ 412.622(a)(3)(iv) beginning with FY
2019, that is, for all IRF discharges
beginning on or after October 1, 2018.
To clarify, we are not proposing to
modify § 412.622(a)(4)(ii), including the
24-hour timeframe within which the
post-admission physician evaluation
requirement must be completed.
We invite public comment on our
proposal to modify § 412.622(a)(3)(iv) to
provide that the post-admission
physician evaluation required under
§ 412.622(a)(4)(ii) may count as one of
the face-to-face physician visits required
under § 412.622(a)(3)(iv) beginning with
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FY 2019, that is, for all IRF discharges
beginning on or after October 1, 2018.
B. Proposed Changes to the
Interdisciplinary Team Meeting
Requirement Beginning With FY 2019
Under § 412.622(a)(5), for an IRF
claim to be considered reasonable and
necessary under section 1862(a)(1) of
the Act, the patient must require an
interdisciplinary team approach to care,
as evidenced by documentation in the
patient’s medical record of weekly
interdisciplinary team meetings that
meet all of the requirements specified in
the regulation. Among those
requirements are that the team meetings
must be led by a rehabilitation
physician and that the results and
findings of the team meetings, and the
concurrence by the rehabilitation
physician with those results and
findings, are retained in the patient’s
medical record. For more information,
we refer readers to the Medicare Benefit
Policy Manual, chapter 1, section
110.2.5 (Pub. 100–02), which can be
downloaded from the CMS website at
https://www.cms.gov/Regulations-andGuidance/Guidance/Manuals/internetOnly-Manuals-IOMs.html.
We understand that it may
occasionally be difficult for the
rehabilitation physician to be physically
present in the team meetings and for
that reason we have always instructed
providers that the rehabilitation
physician may participate in the
interdisciplinary team meetings by
telephone as long as it is clearly
demonstrated in the documentation of
the IRF medical record that the meeting
was led by the rehabilitation physician.
However, with the advancements in
technology since the inception of the
IRF coverage criteria in 2010, we believe
it is appropriate to allow rehabilitation
physicians to lead the meeting remotely
via another mode of communication,
such as video or telephone
conferencing. Therefore, we are
proposing to amend § 412.622(a)(5)(A)
to expressly provide that the
rehabilitation physician may lead the
interdisciplinary meeting remotely
without any additional documentation
requirements. We believe this proposed
change will allow time management
flexibility and convenience for all
rehabilitation physicians, especially
those located in rural areas who may
need to travel greater distances between
facilities. At this time, we are proposing
for this change to apply only to the
rehabilitation physician and not the
other required interdisciplinary team
meeting attendees to give IRFs time to
adapt to this proposed change.
However, we may consider expanding
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this policy to include other
interdisciplinary team meeting
attendees in future rulemaking.
Therefore, we are proposing to amend
§ 412.622(a)(5)(A) to expressly provide
that the rehabilitation physician may
lead the interdisciplinary meeting
remotely without any additional
documentation requirements. We
believe that other communication
modes such as video and telephone
conferencing are acceptable ways of
leading the interdisciplinary team
meeting. Please note that the
requirement that the rehabilitation
physician must lead the
interdisciplinary team meeting will
remain the same.
We invite public comment on our
proposal to amend § 412.622(a)(5)(A) to
expressly provide that the rehabilitation
physician may lead the interdisciplinary
team meeting remotely without
additional documentation requirements.
C. Proposed Changes to the Admission
Order Documentation Requirement
Beginning With FY 2019
In response to the RFI, several
commenters suggest that in general, we
should consider eliminating duplicative
requirements. Commenters stated that
duplicative requirements placed
unnecessary administrative burden on
facilities trying to make sure they
comply with each nuance of each
requirement. We agree with the
commenters and for that reason we are
proposing to remove § 412.606(a) as we
believe that IRFs are already required to
fulfill this requirement under
§§ 482.12(c), 482.24(c), and 412.3.
Under § 412.606(a), at the time that
each Medicare Part A FFS patient is
admitted, the IRF must have physician
orders for the patient’s care during the
time the patient is hospitalized. For
more information, we refer readers to
the Medicare Benefit Policy Manual,
chapter 1, section 110.1.4 (Pub. 100–02),
which can be downloaded from the
CMS website at https://www.cms.gov/
Regulations-and-Guidance/Guidance/
Manuals/internet-Only-ManualsIOMs.html.
Additionally, under § 412.3(a) of the
hospital payment requirements, for the
purposes of payment under Medicare
Part A, an individual is considered an
inpatient of a hospital, including a
critical access hospital, if formally
admitted as an inpatient under an order
for inpatient admission by a physician
or other qualified practitioner in
accordance with §§ 412.3, 482.24(c),
482.12(c), and 485.638(a)(4)(iii) for a
critical access hospital.
In an effort to reduce duplicative
requirements, we believe that if we
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remove the admission order
documentation requirement at
§ 412.606(a), this requirement would
continue to be appropriately addressed
through the enforcement of § 482.12(c)
and § 482.24(c) of the hospital
conditions of participation (CoPs), as
well as the hospital admission order
payment requirements at § 412.3. IRFs
are responsible for meeting all of the
inpatient hospital CoPs and the hospital
admission order payment requirements
at § 412.3, and, therefore, we believe
that by removing the admission order
documentation requirement at
§ 412.606(a), we would be reducing both
regulatory redundancy as well as
administrative burden.
Therefore, we are proposing to amend
§ 412.606(a) to remove the admission
order documentation requirement
beginning with FY 2019, that is, for all
IRF discharges beginning on or after
October 1, 2018. IRFs would continue to
meet the requirements at §§ 482.12(c),
482.24(c), and 412.3.
We invite public comment on our
proposal to amend § 412.606(a) to
remove the admission order
documentation requirement beginning
with FY 2019, that is, for all IRF
discharges beginning on or after October
1, 2018.
D. Solicitation of Comments Regarding
Additional Changes to the Physician
Supervision Requirement
As discussed in section VIII.A of this
proposed rule, under § 412.622(a)(3)(iv),
for an IRF claim to be considered
reasonable and necessary under section
1862(a)(1) of the Act, there must be a
reasonable expectation at the time of the
patient’s admission to the IRF that the
patient requires physician supervision
by a rehabilitation physician, defined as
a licensed physician with specialized
training and experience in inpatient
rehabilitation. The requirement for
medical supervision means that the
rehabilitation physician must conduct
face-to-face visits with the patient at
least 3 days per week throughout the
patient’s stay in the IRF to assess the
patient both medically and functionally,
as well as to modify the course of
treatment as needed to maximize the
patient’s capacity to benefit from the
rehabilitation process. For more
information, we refer readers to the
Medicare Benefit Policy Manual,
chapter 1, section 110.2.4 (Pub. 100–02),
which can be downloaded from the
CMS website at https://www.cms.gov/
Regulations-and-Guidance/Guidance/
Manuals/internet-Only-ManualsIOMs.html.
When the IRF coverage criteria were
initially implemented in 2010, we
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believed that the rehabilitation
physician visits should be completed
face-to-face to ensure that the patient
receives the most comprehensive inperson care by a rehabilitation
physician throughout the IRF stay.
As part of our efforts to assist in
reducing unnecessary regulatory burden
on IRFs, this is an issue we would like
to further explore. We are interested in
soliciting public comments on whether
the rehabilitation physician should have
the flexibility to determine that some of
the IRF visits can be appropriately
conducted remotely via another mode of
communication, such as video or
telephone conferencing. Given the level
of complexity of IRF patients, we have
some concerns about whether this
approach would have an impact on the
quality of care provided to IRF patients.
To maintain the hospital level of care
that IRF patients require, we would
continue to expect that the majority of
IRF physician visits would continue to
be performed face-to-face. However, we
are interested in feedback from
stakeholders on whether we should
allow a limited number of visits to be
conducted remotely. In order to better
assist us in balancing the needs of the
patient, as well as retaining the hospital
level quality of care provided in an IRF
with the goal of reducing the regulatory
burden on rehabilitation physicians, we
are seeking feedback from stakeholders
about potentially amending the face-toface visit requirement for rehabilitation
physicians. Specifically, we would
appreciate feedback regarding the
following:
• Do stakeholders believe that the
rehabilitation physician would be able
to fully assess both the medical and
functional needs and progress of the
patient remotely?
• Would this assist facilities in rural
areas where it may be difficult to
employ an abundance of physicians?
• Do stakeholders believe that
assessing the patient remotely would
affect the quality or intensity of the
physician visit in any way?
• How many and what types of visits
do stakeholders believe should be able
to be performed remotely?
• From an operational standpoint,
how would the remote visit work?
• What type of clinician would need
to be present in the room with the
patient while the rehabilitation
physician was in a remote location?
Thus, to assist us in generating ideas
and information for analyzing potential
refinements in this area, we are seeking
feedback from stakeholders on whether
the rehabilitation physician should have
the flexibility to determine that some of
the IRF visits can be appropriately
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conducted remotely via another mode of
communication, such as video or
telephone conferencing, while
maintaining a hospital level high quality
of care for IRF patients.
E. Solicitation of Comments Regarding
Changes to the Use of Non-Physician
Practitioners in Meeting the
Requirements Under § 412.622(a)(3), (4),
and (5)
Several of the requirements under
§ 412.622(a)(3), (4), and (5) require
documentation that a rehabilitation
physician, defined as a licensed
physician with specialized training and
experience in inpatient rehabilitation,
visited each patient admitted to an IRF
and performed an assessment of the
patient. For example, under
§ 412.622(a)(3)(iv), for an IRF claim to
be considered reasonable and necessary
under section 1862(a)(1) of the Act,
there must be a reasonable expectation
at the time of the patient’s admission to
the IRF that the patient requires
physician supervision by a
rehabilitation physician. The
requirement for medical supervision
means that the rehabilitation physician
must conduct face-to-face visits with the
patient at least 3 days per week
throughout the patient’s stay in the IRF
to assess the patient both medically and
functionally, as well as to modify the
course of treatment as needed to
maximize the patient’s capacity to
benefit from the rehabilitation process.
For more information, please refer to the
Medicare Benefit Policy Manual,
chapter 1, section 110.2.4 (Pub. 100–02),
which can be downloaded from the
CMS website at https://www.cms.gov/
Regulations-and-Guidance/Guidance/
Manuals/internet-Only-ManualsIOMs.html.
In addition, under § 412.622(a)(4)(ii),
to document that each patient for whom
the IRF seeks payment is reasonably
expected to meet all of the requirements
in § 412.622(a)(3) at the time of
admission, the patient’s medical record
at the IRF must contain a postadmission physician evaluation that
must, among other requirements, be
completed by a rehabilitation physician
within 24 hours of the patient’s
admission to the IRF. For more
information, we refer readers to the
Medicare Benefit Policy Manual,
chapter 1, section 110.1.2 (Pub. 100–02),
which can be downloaded from the
CMS website at https://www.cms.gov/
Regulations-and-Guidance/Guidance/
Manuals/internet-Only-ManualsIOMs.html.
In the feedback that we received in
response to the RFI, it was suggested
that we consider amending the
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requirements in § 412.622(a)(3)(iv) and
§ 412.622(a)(4)(ii) to enable IRFs to
expand their use of non-physician
practitioners (physician assistants and
nurse practitioners) to fulfill some of the
requirements that rehabilitation
physicians are currently required to
complete. The commenters suggested
that expanding the use of non-physician
practitioners in meeting some of the IRF
requirements would ease the
documentation burden on rehabilitation
physicians.
In exploring this issue, we have
questions about whether non-physician
practitioners have the specialized
training in inpatient rehabilitation that
would enable them to adequately assess
the interaction between patients’
medical and functional care needs in an
IRF. Another concern that has been
raised regarding this issue, is whether
IRF patients will continue to receive the
hospital level and quality of care that is
necessary to treat such complex
conditions.
To better assist us in balancing the
needs of the patient with the desire to
reduce the regulatory burden on
rehabilitation physicians, we are
seeking feedback from stakeholders
about potentially allowing IRFs to
expand their use of non-physician
practitioners to fulfill some of the
requirements that rehabilitation
physicians are currently required to
complete. Specifically, we would
appreciate feedback regarding the
following:
• Do non-physician practitioners
have the specialized training in
rehabilitation that they need to have to
assess IRF patients both medically and
functionally?
• How would the non-physician
practitioner’s credentials be
documented and monitored to ensure
that IRF patients are receiving high
quality care?
• Are non-physician practitioners
required to do rotations in inpatient
rehabilitation facilities as part of their
training, or could this be added to their
training programs in the future?
• Do stakeholders believe that
utilizing non-physician practitioners to
fulfill some of the requirements that are
currently required to be completed by a
rehabilitation physician would have an
impact of the quality of care for IRF
patients?
Thus, to assist us in generating ideas
and information for analyzing potential
refinements in this area, we are seeking
feedback from stakeholders on the ways
in which the role of non-physician
practitioners could be expanded in the
IRF setting while maintaining a hospital
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level high quality of care for IRF
patients.
IX. Proposed Revisions and Updates to
the IRF Quality Reporting Program
(QRP)
A. Background
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The Inpatient Rehabilitation Facility
Quality Reporting Program (IRF QRP) is
authorized by section 1886(j)(7) of the
Act, and it applies to freestanding IRFs,
as well as inpatient rehabilitation units
of hospitals or critical access hospitals
(CAHs) paid by Medicare under the IRF
PPS. Under the IRF QRP, the Secretary
reduces the annual increase factor for
discharges occurring during such fiscal
year by 2 percentage points for any IRF
that does not submit data in accordance
with the requirements established by
the Secretary. For more information on
the background and statutory authority
for the IRF QRP, we refer readers to the
FY 2012 IRF PPS final rule (76 FR 47873
through 47874), the CY 2013 Hospital
Outpatient Prospective Payment
System/Ambulatory Surgical Center
(OPPS/ASC) Payment Systems and
Quality Reporting Programs final rule
(77 FR 68500 through 68503), the FY
2014 IRF PPS final rule (78 FR 47902),
the FY 2015 IRF PPS final rule (79 FR
45908), the FY 2016 IRF PPS final rule
(80 FR 47080 through 47083), the FY
2017 IRF PPS final rule (81 FR 52080
through 52081), and the FY 2018 IRF
PPS final rule (82 FR 36269 through
36270).
Although we have historically used
the preamble to the IRF PPS proposed
and final rules each year to remind
stakeholders of all previously finalized
program requirements, we have
concluded that repeating the same
discussion each year is not necessary for
every requirement, especially if we have
codified it in our regulations.
Accordingly, the following discussion is
limited as much as possible to a
discussion of our proposals for future
years of the IRF QRP, and represents the
approach we intend to use in our
rulemakings for this program going
forward.
B. General Considerations Used for the
Selection of Measures for the IRF QRP
1. Background
For a detailed discussion of the
considerations we historically used for
the selection of IRF QRP quality,
resource use, and others measures, we
refer readers to the FY 2016 IRF PPS
final rule (80 FR 47083 through 47084).
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2. Accounting for Social Risk Factors in
the IRF QRP
In the FY 2018 IRF PPS final rule (82
FR 36273 through 36274), we discussed
the importance of improving beneficiary
outcomes including reducing health
disparities. We also discussed our
commitment to ensuring that medically
complex patients, as well as those with
social risk factors, receive excellent
care. We discussed how studies show
that social risk factors, such as being
near or below the poverty level as
determined by HHS, belonging to a
racial or ethnic minority group, or living
with a disability, can be associated with
poor health outcomes and how some of
this disparity is related to the quality of
health care.3 Among our core objectives,
we aim to improve health outcomes,
attain health equity for all beneficiaries,
and ensure that complex patients as
well as those with social risk factors
receive excellent care. Within this
context, reports by the Office of the
Assistant Secretary for Planning and
Evaluation (ASPE) and the National
Academy of Medicine have examined
the influence of social risk factors in our
value-based purchasing programs.4 As
we noted in the FY 2018 IRF PPS final
rule (82 FR 36273 through 36274),
ASPE’s report to Congress, which was
required by the IMPACT Act, found
that, in the context of value-based
purchasing programs, dual eligibility
was the most powerful predictor of poor
health care outcomes among those
social risk factors that they examined
and tested. ASPE is continuing to
examine this issue in its second report
required by the IMPACT Act, which is
due to Congress in the fall of 2019. In
addition, as we noted in the FY 2018
IPPS/LTCH PPS final rule (82 FR
38428), the National Quality Forum
(NQF) undertook a 2-year trial period in
which certain new measures and
measures undergoing maintenance
review have been assessed to determine
if risk adjustment for social risk factors
is appropriate for these measures.5 The
3 See, for example, United States Department of
Health and Human Services. ‘‘Healthy People 2020:
Disparities. 2014,’’ https://www.healthypeople.gov/
2020/about/foundation-health-measures/Disparities
or National Academies of Sciences, Engineering,
and Medicine. Accounting for Social Risk Factors
in Medicare Payment: Identifying Social Risk
Factors. Washington, DC: National Academies of
Sciences, Engineering, and Medicine 2016.
4 Department of Health and Human Services
Office of the Assistant Secretary for Planning and
Evaluation (ASPE), ‘‘Report to Congress: Social Risk
Factors and Performance Under Medicare’s ValueBased Purchasing Programs.’’ December 2016,
https://aspe.hhs.gov/pdf-report/report-congresssocial-risk-factors-and-performance-undermedicares-value-based-purchasing-programs.
5 Available at https://www.qualityforum.org/SES_
Trial_Period.aspx.
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trial period ended in April 2017 and a
final report is available at https://
www.qualityforum.org/SES_Trial_
Period.aspx. The trial concluded that
‘‘measures with a conceptual basis for
adjustment generally did not
demonstrate an empirical relationship’’
between social risk factors and the
outcomes measured. This discrepancy
may be explained in part by the
methods used for adjustment and the
limited availability of robust data on
social risk factors. NQF has extended
the socioeconomic status (SES) trial,6
allowing further examination of social
risk factors in outcome measures.
In the FY/CY 2018 proposed rules for
our quality reporting and value-based
purchasing programs, we solicited
feedback on which social risk factors
provide the most valuable information
to stakeholders and the methodology for
illuminating differences in outcomes
rates among patient groups within a
provider that would also allow for a
comparison of those differences, or
disparities, across providers. Feedback
we received across our quality reporting
programs included encouraging CMS to
explore whether factors that could be
used to stratify or risk adjust the
measures (beyond dual eligibility); to
consider the full range of differences in
patient backgrounds that might affect
outcomes; to explore risk adjustment
approaches; and to offer careful
consideration of what type of
information display would be most
useful to the public.
We also sought public comment on
confidential reporting and future public
reporting of some of our measures
stratified by patient dual eligibility. In
general, commenters noted that
stratified measures could serve as tools
for hospitals to identify gaps in
outcomes for different groups of
patients, improve the quality of health
care for all patients, and empower
consumers to make informed decisions
about health care. Commenters
encouraged CMS to stratify measures by
other social risk factors such as age,
income, and educational attainment.
With regard to value-based purchasing
programs, commenters also cautioned to
balance fair and equitable payment
while avoiding payment penalties that
mask health disparities or discouraging
the provision of care to more medically
complex patients. Commenters also
noted that value-based payment
program measure selection, domain
weighting, performance scoring, and
payment methodology must account for
social risk.
6 Available at: https://www.qualityforum.org/SES_
Trial_Period.aspx
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As a next step, we are considering
options to improve health disparities
among patient groups within and across
hospitals by increasing the transparency
of disparities, as shown by quality
measures. We also are considering how
this work applies to other CMS quality
programs in the future. We refer readers
to the FY 2018 IPPS/LTCH PPS final
rule (82 FR 38403 through 38409) for
more details where we discuss the
potential stratification of certain
Hospital Inpatient Quality Reporting
Program outcome measures.
Furthermore, we continue to consider
options to address equity and disparities
in our value-based purchasing
programs.
We plan to continue working with
ASPE, the public, and other key
stakeholders on this important issue to
identify policy solutions that achieve
the goals of attaining health equity for
all beneficiaries and minimizing
unintended consequences.
C. Proposed New Removal Factor for
Previously Adopted IRF QRP Measures
As part of our Meaningful Measures
Initiative, discussed in section D.1. of
the Executive Summary of this proposed
rule, we strive to put patients first,
ensuring that they, along with their
clinicians, are empowered to make
decisions about their own healthcare
using data-driven information that is
increasingly aligned with a
parsimonious set of meaningful quality
measures. We began reviewing the IRF
QRP’s measures in accordance with the
Meaningful Measures Initiative
discussed in section D.1 of the
Executive Summary, and we are
working to identify how to move the IRF
QRP forward in the least burdensome
manner possible, while continuing to
incentivize improvement in the quality
of care provided to patients.
Specifically, we believe the goals of
the IRF QRP and the measures used in
the program cover most of the
Meaningful Measures Initiative
priorities, including making care safer,
strengthening person and family
engagement, promoting coordination of
care, promoting effective prevention and
treatment, and making care affordable.
We also evaluated the appropriateness
and completeness of the IRF QRP’s
current measure removal factors. We
have previously finalized that we would
use notice and comment rulemaking to
remove measures from the IRF QRP
based on the following factors (77 FR
68502 through 68503): 7
7 We refer readers to the FY 2013 CY 2013
Hospital Outpatient Prospective Payment System/
Ambulatory Surgical Center (OPPS/ASC) Payment
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• Factor 1. Measure performance
among IRFs is so high and unvarying
that meaningful distinctions in
improvements in performance can no
longer be made.
• Factor 2. Performance or
improvement on a measure does not
result in better patient outcomes.
• Factor 3. A measure does not align
with current clinical guidelines or
practice.
• Factor 4. A more broadly applicable
measure (across settings, populations, or
conditions) for the particular topic is
available.
• Factor 5. A measure that is more
proximal in time to desired patient
outcomes for the particular topic is
available.
• Factor 6. A measure that is more
strongly associated with desired patient
outcomes for the particular topic is
available.
• Factor 7. Collection or public
reporting of a measure leads to negative
unintended consequences other than
patient harm.
We continue to believe these measure
removal factors are appropriate for use
in the IRF QRP. However, even if one
or more of the measure removal factors
applies, we might nonetheless choose to
retain the measure for certain specified
reasons. Examples of such instances
could include when a particular
measure addresses a gap in quality that
is so significant that removing the
measure could in turn result in poor
quality, or in the event that a given
measure is statutorily required. We note
further that, consistent with other
quality reporting programs, we apply
these factors on a case-by-case basis.
We are proposing to adopt an
additional factor to consider when
evaluating measures for removal from
the IRF QRP measure set:
Factor 8. The costs associated with a
measure outweigh the benefit of its
continued use in the program.
As we discussed in section D.1. of the
Executive Summary of this proposed
rule, to our new Meaningful Measures
Initiative, we are engaging in efforts to
ensure that the IRF QRP measure set
continues to promote improved health
outcomes for beneficiaries while
minimizing the overall costs associated
with the program. We believe these
costs are multifaceted and include not
only the burden associated with
reporting, but also the costs associated
with implementing and maintaining the
program. We have identified several
Systems and Quality Reporting Programs final rule
(77 FR 68502 through 68503) and FY 2018 IRF PPS
final rule (82 FR 36276) for more information on the
factors we consider for removing measures and
standardized patient assessment data.
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different types of costs, including, but
not limited to: (1) Provider and clinician
information collection burden and
burden associated with the submitting/
reporting of quality measures to CMS;
(2) the provider and clinician cost
associated with complying with other
programmatic requirements; (3) the
provider and clinician cost associated
with participating in multiple quality
programs, and tracking multiple similar
or duplicative measures within or across
those programs; (4) the cost to CMS
associated with the program oversight of
the measure including measure
maintenance and public display; and (5)
the provider and clinician cost
associated with compliance to other
federal and/or state regulations (if
applicable).
For example, it may be needlessly
costly and/or of limited benefit to retain
or maintain a measure which our
analyses show no longer meaningfully
supports program objectives (for
example, informing beneficiary choice).
It may also be costly for health care
providers to track confidential feedback,
preview reports, and publicly reported
information on a measure where we use
the measure in more than one program.
We may also have to expend
unnecessary resources to maintain the
specifications for the measure,
including the tools needed to collect,
validate, analyze, and publicly report
the measure data. Furthermore,
beneficiaries may find it confusing to
see public reporting on the same
measure in different programs.
When these costs outweigh the
evidence supporting the continued use
of a measure in the IRF QRP, we believe
it may be appropriate to remove the
measure from the program. Although we
recognize that one of the main goals of
the IRF QRP is to improve beneficiary
outcomes by incentivizing health care
providers to focus on specific care
issues and making public data related to
those issues, we also recognize that
those goals can have limited utility
where, for example, the publicly
reported data is of limited use because
it cannot be easily interpreted by
beneficiaries and used to influence their
choice of providers. In these cases,
removing the measure from the IRF QRP
may better accommodate the costs of
program administration and compliance
without sacrificing improved health
outcomes and beneficiary choice.
We are proposing that we would
remove measures based on this factor on
a case-by-case basis. We might, for
example, decide to retain a measure that
is burdensome for health care providers
to report if we conclude that the benefit
to beneficiaries is so high that it justifies
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the reporting burden. Our goal is to
move the program forward in the least
burdensome manner possible, while
maintaining a parsimonious set of
meaningful quality measures and
continuing to incentivize improvement
in the quality of care provided to
patients.
We are inviting public comment on
our proposal to adopt an additional
measure removal Factor 8, ‘‘the costs
associated with a measure outweigh the
benefit of its continued use in the
program.’’
We also are proposing to revise
§ 412.634(b)(2) of our regulations to
codify both the removal factors we have
previously finalized for the IRF QRP, as
well as the new measure removal factor
that we are proposing to adopt in this
proposed rule. We are also proposing to
remove the reference to the payment
impact from the heading of § 412.634(b)
and, as discussed more fully in section
X.J. of this proposed rule, remove the
21001
language in current § 412.634(b)(2)
related to the two percentage point
payment reduction because that
payment reduction is also addressed at
§ 412.624(c)(4).
We invite public comment on these
proposals.
D. Quality Measures Currently Adopted
for the FY 2020 IRF QRP
The IRF QRP currently has 18
measures for the FY 2020 program year,
which are outlined in Table 11.
TABLE 11—QUALITY MEASURES CURRENTLY ADOPTED FOR THE FY 2020 IRF QRP
Short name
Measure name and data source
IRF–PAI
Pressure Ulcer ....................................................
Pressure Ulcer/Injury ..........................................
Patient Influenza Vaccine ...................................
Application of Falls .............................................
Application of Functional Assessment ................
DRR ....................................................................
Change in Self-Care ...........................................
Change in Mobility ..............................................
Discharge Self-Care Score .................................
Discharge Mobility Score ....................................
Percent of Residents or Patients With Pressure Ulcers That Are New or Worsened (Short
Stay) (NQF #0678).*
Changes in Skin Integrity Post-Acute Care: Pressure Ulcer/Injury.
Percent of Residents or Patients Who Were Assessed and Appropriately Given the Seasonal
Influenza Vaccine (Short Stay) (NQF #0680).
Application of Percent of Residents Experiencing One or More Falls with Major Injury (Long
Stay) (NQF #0674).
Application of Percent of Long-Term Care Hospital (LTCH) Patients with an Admission and
Discharge Functional Assessment and a Care Plan That Addresses Function (NQF #2631).
Drug Regimen Review Conducted With Follow-Up for Identified Issues-Post Acute Care (PAC)
Inpatient Rehabilitation Facility (IRF) Quality Reporting Program (QRP).
IRF Functional Outcome Measure: Change in Self-Care Score for Medical Rehabilitation Patients (NQF #2633).
IRF Functional Outcome Measure: Change in Mobility Score for Medical Rehabilitation Patients (NQF #2634).
IRF Functional Outcome Measure: Discharge Self-Care Score for Medical Rehabilitation Patients (NQF #2635).
IRF Functional Outcome Measure: Discharge Mobility Score for Medical Rehabilitation Patients
(NQF #2636).
NHSN
CAUTI .................................................................
MRSA ..................................................................
CDI ......................................................................
HCP Influenza Vaccine .......................................
National Healthcare Safety Network (NHSN) Catheter-Associated Urinary Tract Infection Outcome Measure (NQF #0138).
National Healthcare Safety Network (NHSN) Facility-wide Inpatient Hospital-onset Methicillinresistant Staphylococcus aureus (MRSA) Bacteremia Outcome Measure (NQF #1716).
National Healthcare Safety Network (NHSN) Facility-wide Inpatient Hospital-onset Clostridium
difficile Infection (CDI) Outcome Measure (NQF #1717).
Influenza Vaccination Coverage among Healthcare Personnel (NQF #0431).
Claims-Based
MSPB IRF ...........................................................
DTC .....................................................................
PPR 30 day ........................................................
PPR Within Stay .................................................
Medicare Spending Per Beneficiary (MSPB)-Post Acute Care (PAC) PAC IRF QRP.
Discharge to Community—PAC IRF QRP.
Potentially Preventable 30-Day Post-Discharge Readmission Measure for IRF QRP.*
Potentially Preventable Within Stay Readmission Measure for IRFs.
* The measure will be replaced with the Changes in Skin Integrity Post-Acute Care: Pressure Ulcer/Injury measure, effective October 1, 2018.
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E. Proposed Removal of Two IRF QRP
Measures
We are proposing to remove two
measures from the IRF QRP measure set.
Beginning with the FY 2020 IRF QRP,
we are proposing to remove the National
Healthcare Safety Network (NHSN)
Facility-wide Inpatient Hospital-onset
Methicillin-resistant Staphylococcus
aureus (MRSA) Bacteremia Outcome
Measure (NQF #1716). We are also
proposing to remove one measure
beginning with the FY 2021 IRF QRP:
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Percent of Residents or Patients Who
Were Assessed and Appropriately Given
the Seasonal Influenza Vaccine (Short
Stay) (NQF #0680). We discuss these
proposals below.
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1. Proposed Removal of National
Healthcare Safety Network (NHSN)
Facility-Wide Inpatient Hospital-Onset
Methicillin-Resistant Staphylococcus
aureus (MRSA) Bacteremia Outcome
Measure (NQF #1716) Beginning With
the FY 2020 IRF QRP
We are proposing to remove the
measure, Facility-wide Inpatient
Hospital-onset Methicillin-resistant
Staphylococcus aureus (MRSA)
Bacteremia Outcome Measure (NQF
#1716), from the IRF QRP measure set
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beginning with the FY 2020 IRF QRP
under our proposed measure removal
Factor 8, the costs associated with a
measure outweigh the benefit of its
continued use in the IRF QRP.
We originally adopted this measure in
the FY 2015 IRF PPS final rule (79 FR
45911 through 45913). The measure
assesses MRSA infections caused by a
strain of MRSA bacteria that has become
resistant to antibiotics commonly used
to treat MRSA infections. The measure
is reported as a Standardized Infection
Ratio (SIR) of hospital-onset unique
blood source MRSA laboratoryidentified events among all inpatients in
the facility.
The data on this measure is submitted
by IRFs via the National Health Safety
Network (NHSN), and we adopted it for
use in several quality reporting
programs because we believe that MRSA
is a serious healthcare associated
infection. To calculate a measure rate
for an individual IRF, we must be able
to attribute to the IRF at least one
expected MRSA infection during the
reporting period. However, we have
found that the number of IRFs with
expected MRSA infections during a
given reporting period is extraordinarily
low. For 99.9 percent of IRFs, the
expected MRSA infection incident rate
is less than one, which is too low to use
for purposes of generating a reliable
standardized infection ratio. As a result,
we are unable to calculate reliable
measure rates and publicly report those
rates for almost all IRFs because their
expected infection rates during a given
reporting period are less than one.
Therefore, while we still recognize that
MRSA is a serious healthcare associated
infection, the benefit of this NHSN
Facility-wide Inpatient Hospital-onset
MRSA Bacteremia Outcome Measure
(NQF #1716) is small. For this reason,
we believe that the burden required for
data collection and submission on this
measure and the costs associated with
this measure, which include the costs to
maintain and publicly report it for the
IRF QRP and the costs for a small
number of IRFs to track their rates when
reliable rates cannot be calculated for
most IRFs, outweigh the benefit of its
continued use in the program.
Therefore, we are proposing to
remove this measure from the IRF QRP,
beginning with the FY 2020 IRF QRP.
If finalized as proposed, IRFs would
no longer be required to submit data on
this measure for the purposes of the IRF
QRP beginning with October 1, 2018
admissions and discharges.
We are inviting public comment on
this proposal.
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2. Proposed Removal of Percent of
Residents or Patients Who Were
Assessed and Appropriately Given the
Seasonal Influenza Vaccine (Short Stay)
(NQF #0680) Beginning With the FY
2021 IRF QRP
We are proposing to remove the
measure, Percent of Residents or
Patients Who Were Assessed and
Appropriately Given the Seasonal
Influenza Vaccine (Short Stay) (NQF
#0680), from the IRF QRP beginning
with the FY 2021 IRF QRP under
measure removal Factor 1, measure
performance among IRFs is so high and
unvarying that meaningful distinctions
in improvements in performance can no
longer be made.
In the FY 2014 IRF PPS final rule (78
FR 47910 through 47911), we adopted
the Percent of Residents or Patients Who
Were Assessed and Appropriately Given
the Seasonal Influenza Vaccine (Short
Stay) (NQF #0680) to assess vaccination
rates among IRF patients because many
patients receiving care in the IRF setting
are 65 years and older and considered
to be the target population for the
influenza vaccination.
This process measure reports the
percentage of stays in which the patient
was assessed and appropriately given
the influenza vaccine for the most
recent influenza vaccination season. In
our evaluation of this measure, we
identified that IRF performance has
been high and relatively stable,
demonstrating nominal improvements
across influenza seasons since data
collection began. Our analysis of this
particular measure revealed that for the
2015–2016 and the 2016–2017 influenza
seasons, nearly every IRF patient was
assessed and more than 75 percent of
IRFs (n = 836) are vaccinating IRF
patients who have not already received
a flu vaccination at 90 percent or higher.
Further, throughout the last two
influenza seasons, the number of IRFs
who achieved a perfect score (100
percent) on this measure has grown
substantially, increasing by
approximately 50 percent from 146 IRFs
(12.9 percent) in the 2015–2016
influenza season to 210 IRFs (18.8
percent) in the 2016–2017 influenza
season.
The Percent of Residents or Patients
Who Were Assessed and Appropriately
Given the Seasonal Influenza Vaccine
(Short Stay) (NQF #0680) measure rates
are also unvarying. With respect to the
2015–2016 influenza season, the mean
performance score was 91.04 percent,
and with respect to the 2016–2017
influenza season, the mean performance
score on this measure was 93.88
percent. The proximity of these mean
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rates to the maximum score of 100
percent suggests a potential ceiling
effect and a lack of variation that
restricts distinction between facilities.
Given that performance among IRFs has
remained so high and that no
meaningful distinction in performance
can be made across the majority of IRFs,
we are proposing the removal of this
measure.
Therefore, we are proposing to
remove this measure from the IRF QRP
beginning with the FY 2021 IRF QRP
under of measure removal Factor 1,
measure performance among IRFs is so
high and unvarying that meaningful
distinctions in improvements in
performance can no longer be made.
If finalized as proposed, IRFs would
no longer be required to submit data on
this measure for the purposes of the IRF
QRP beginning with patients discharged
on or after October 1, 2018. We plan to
remove these data elements from the
IRF–PAI version 3.0, effective October 1,
2019. Beginning with October 1, 2018
discharges, IRFs should enter a dash
(–) for O0250A, O0250B, and O0250C
until the IRF–PAI version 3.0 is
released.
We are inviting public comment on
this proposal.
F. IMPACT Act Implementation Update
In the FY 2018 IRF PPS final rule (82
FR 36285 through 36286), we stated that
we intended to specify two measures
that would satisfy the domain of
accurately communicating the existence
and provision of the transfer of health
information and care preferences under
section 1899B(c)(1)(E) of the Act no later
than October 1, 2018, and intended to
propose to adopt them for the FY 2021
IRF QRP with data collection beginning
on or about October 1, 2019.
As a result of the input provided
during a public comment period
between November 10, 2016 and
December 11, 2016, input provided by
a technical expert panel (TEP) convened
by our contractor, and pilot measure
testing conducted in 2017, we are
engaging in continued development
work on these two measures, including
supplementary measure testing and
providing the public with an
opportunity for comment in 2018.
Further, we expect to reconvene a TEP
for these measures in mid-2018. We
now intend to specify the measures
under section 1899B(c)(1)(E) of the Act
no later than October 1, 2019, and
intend to propose to adopt the measures
for the FY 2022 IRF QRP, with data
collection beginning with patients
discharged on or after October 1, 2020.
For more information on the pilot
testing, we refer readers to: https://
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www.cms.gov/Medicare/QualityInitiatives-Patient-AssessmentInstruments/Post-Acute-Care-QualityInitiatives/IMPACT-Act-of-2014/
IMPACT-Act-Downloads-andVideos.html.
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G. Form, Manner, and Timing of Data
Submission Under the IRF QRP
Under our current policy, IRFs report
data on IRF QRP assessment-based
measures and standardized patient
assessment data by completing
applicable sections of the IRF–PAI and
submitting the IRF–PAI to CMS through
the Quality Improvement Evaluation
System (QIES) Assessment Submission
and Processing (ASAP) system. For
more information on IRF QRP reporting
through the Quality Improvement and
Evaluation System Assessment
Submission and Processing (QIES
ASAP) system, refer to the ‘‘Related
Links’’ section at the bottom of https://
www.cms.gov/Medicare/Medicare-Feefor-Service-Payment/Inpatient
RehabFacPPS/Software.html. Data on
IRF QRP measures that are also
collected by the Centers for Disease
Control and Prevention (CDC) for other
purposes are reported by IRFs to the
CDC through the NHSN, and the CDC
then transmits the relevant data to CMS.
Information regarding the CDC’s NHSN
is available at: https://www.cdc.gov/
nhsn/. We refer readers to the
FY 2018 IRF PPS final rule (82 FR 36291
through 36292) for the data collection
and submission timeframes that we
finalized for the IRF QRP.
We previously codified at
§ 412.634(b)(1) of our regulations the
requirement that IRFs submit data on
measures specified under sections
1886(j)(7)(D), 1899B(c)(1), and
1899B(d)(1) of the Act in the form and
manner, and at a time, specified by
CMS. We are proposing in this proposed
rule to revise § 412.634(b)(1) to include
the policy we previously finalized in the
FY 2018 IRF PPS Final Rule (82 FR
36292 through 36293) that IRFs must
also submit standardized patient
assessment data required under section
1899B(b)(1) of the Act in the form and
manner, and at a time, specified by
CMS.
We are inviting public comment on
this proposal.
H. Proposed Changes to
Reconsiderations Requirements Under
the IRF QRP
Section 412.634(d)(1) of our
regulations states, in part, that IRFs
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found to be non-compliant with the
quality reporting requirements for a
particular fiscal year will receive a letter
of non-compliance through the Quality
Improvement and Evaluation System
Assessment Submission and Processing
(QIES–ASAP) system, as well as through
the United States Postal Service.
We are proposing to revise
§ 412.634(d)(1) to expand the methods
by which we would notify an IRF of
non-compliance with the IRF QRP
requirements for a program year.
Revised § 412.634(d)(1) would state that
we would notify IRFs of noncompliance with the IRF QRP
requirements via a letter sent through at
least one of the following notification
methods: The QIES–ASAP system, the
United States Postal Service, or via an
email from the Medicare Administrative
Contractor (MAC). We believe that this
change will address the feedback from
providers requesting additional methods
for notification.
We are also proposing to revise
§ 412.634(d)(5) to clarify that we will
notify IRFs, in writing, of our final
decision regarding any reconsideration
request using the same notification
process.
We are inviting public comments on
these proposals.
I. Proposed Policies Regarding Public
Display of Measure Data for the IRF
QRP
Section 1886(j)(7)(E) of the Act
requires the Secretary to establish
procedures for making the IRF QRP data
available to the public after ensuring
that an IRF has the opportunity to
review its data prior to public display.
Measure data are currently displayed on
the IRF Compare website, an interactive
web tool that assists individuals by
providing information on IRF quality of
care to those who need to select an IRF.
For more information on IRF Compare,
we refer readers to: https://
www.medicare.gov/inpatient
rehabilitationfacilitycompare/.
We propose to begin publicly
displaying data on the following four
assessment-based measures in CY 2020,
or as soon thereafter as technically
feasible: (1) Change in Self-Care (NQF
#2633); (2) Change in Mobility Score
(NQF #2634); (3) Discharge Self-Care
Score (NQF #2635); (4) and Discharge
Mobility Score (NQF #2636). Data
collection for these four assessmentbased measures began with patients
discharged on or after October 1, 2016.
We are proposing to display data for
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21003
these assessment-based measures based
on four rolling quarters of data, initially
using discharges from January 1, 2019
through December 31, 2019 (Quarter 1
2019 through Quarter 4 2019). To ensure
the statistical reliability of the data for
these four assessment-based measures,
we are also proposing that if an IRF has
fewer than 20 cases during any four
consecutive rolling quarters of data that
we are displaying for any of these
measures, then we would note in our
public display of that measure that with
respect to that IRF the number of cases/
patient stays is too small to publicly
report.
We invite public comment on these
proposals
J. Method for Applying the Reduction to
the FY 2019 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 payments for
discharges occurring during such fiscal
year for IRFs that fail to comply with the
quality data submission requirements.
We propose to apply a 2-percentage
point reduction to the applicable FY
2019 market basket increase factor in
calculating a proposed adjusted FY 2019
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.
We invite public comment on the
proposed method for applying the
reduction to the FY 2019 IRF increase
factor for IRFs that fail to meet the
quality reporting requirements.
Table 12 shows the calculation of the
proposed adjusted FY 2019 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
applicable reporting period.
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TABLE 12—CALCULATIONS TO DETERMINE THE PROPOSED ADJUSTED FY 2019 STANDARD PAYMENT CONVERSION
FACTOR FOR IRFS THAT FAILED TO MEET THE QUALITY REPORTING REQUIREMENT
Explanation for adjustment
Calculations
Standard Payment Conversion Factor for FY 2018 ................................................................................................
Market Basket Increase Factor for FY 2019 (2.9 percent), reduced by 0.8 percentage point for the productivity
adjustment as required by section 1886(j)(3)(C)(ii)(I) of the Act, reduced by 0.75 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 .............................................................
Adjusted FY 2019 Standard Payment Conversion Factor ......................................................................................
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Our regulations currently address the
two percentage point payment reduction
for failure to meet requirements under
the IRF QRP in two places:
§ 412.624(c)(4) and § 412.634(b)(2). We
believe that these provisions are
duplicative and are proposing to revise
the regulations so that the payment
reduction is addressed only in
§ 412.624(c)(4). As noted in this
proposed rule, we are proposing to
remove the language regarding the
payment reduction that is currently at
§ 412.634(b)(2) and to codify that
section instead the retention and
removal policies for the IRF QRP.
We are also proposing to revise
§ 412.624(c)(4)(i) to clarify that an IRF’s
failure to submit data under the IRF
QRP in accordance with § 412.634 will
result in the 2 percentage point
reduction to the applicable increase
factor specified in § 412.624(a)(3).
Finally, we are proposing to revise
§ 412.624(c)(4) for greater consistency
with the language of section
1886(j)(7)(A)(i) of the Act. Specifically,
we would revise paragraph (i) to clarify
that the 2 percentage point reduction is
applied ‘‘after application of
subparagraphs (C)(iii) and (D) of section
1886(j)(3) of the Act.’’ In addition, we
would add a new paragraph (iii) that
clarifies that the 2 percentage point
reduction required under section
1886(j)(7)(A)(i) of the Act may result in
an update that is less than 0.0 for a fiscal
year.
We invite public comment on these
proposals.
X. Request for Information on
Promoting Interoperability and
Electronic Healthcare Information
Exchange Through Possible Revisions
to the CMS Patient Health and Safety
Requirements for Hospitals and Other
Medicare- and Medicaid-Participating
Providers and Suppliers
Currently, Medicare- and Medicaidparticipating providers and suppliers
are at varying stages of adoption of
health information technology (health
IT). Many hospitals have adopted
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electronic health records (EHRs), and
CMS has provided incentive payments
to eligible hospitals, critical access
hospitals (CAHs), and eligible
professionals who have demonstrated
meaningful use of certified EHR
technology (CEHRT) under the Medicare
EHR Incentive Program. As of 2015, 96
percent of Medicare- and Medicaidparticipating non-Federal acute care
hospitals had adopted certified EHRs
with the capability to electronically
export a summary of clinical care.8
While both adoption of EHRs and
electronic exchange of information have
grown substantially among hospitals,
significant obstacles to exchanging
electronic health information across the
continuum of care persist. Routine
electronic transfer of information postdischarge has not been achieved by
providers and suppliers in many
localities and regions throughout the
nation.
CMS is firmly committed to the use of
certified health IT and interoperable
EHR systems for electronic healthcare
information exchange to effectively help
hospitals and other Medicare- and
Medicaid-participating providers and
suppliers improve internal care delivery
practices, support the exchange of
important information across care team
members during transitions of care, and
enable reporting of electronically
specified clinical quality measures
(eCQMs). The Office of the National
Coordinator for Health Information
Technology (ONC) acts as the principal
federal entity charged with coordination
of nationwide efforts to implement and
use health information technology and
the electronic exchange of health
information on behalf of the Department
of Health and Human Services.
In 2015, ONC finalized the 2015
Edition health IT certification criteria
(2015 Edition), the most recent criteria
for health IT to be certified to under the
ONC Health IT Certification Program.
8 These
statistics can be accessed at:
https://dashboard.healthit.gov/quickstats/pages/
FIG-Hospital-EHR-Adoption.php.
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$ 15,838
×
×
×
=
0.9935
1.0000
0.9980
$ 15,704
The 2015 Edition facilitates greater
interoperability for several clinical
health information purposes and
enables health information exchange
through new and enhanced certification
criteria, standards, and implementation
specifications. CMS requires eligible
hospitals and CAHs in the Medicare and
Medicaid EHR Incentive Programs and
eligible clinicians in the Quality
Payment Program (QPP) to use EHR
technology certified to the 2015 Edition
beginning in CY 2019.
In addition, several important
initiatives will be implemented over the
next several years to provide hospitals
and other participating providers and
suppliers with access to robust
infrastructure that will enable routine
electronic exchange of health
information. Section 4003 of the 21st
Century Cures Act (Pub. L. 114–255),
enacted in 2016, and amending section
3000 of the Public Health Service Act
(42 U.S.C. 300jj), requires HHS to take
steps to advance the electronic exchange
of health information and
interoperability for participating
providers and suppliers in various
settings across the care continuum.
Specifically, Congress directed that
ONC ‘‘. . . for the purpose of ensuring
full network-to-network exchange of
health information, convene publicprivate and public-public partnerships
to build consensus and develop or
support a trusted exchange framework,
including a common agreement among
health information networks
nationally.’’ In January 2018, ONC
released a draft version of its proposal
for the Trusted Exchange Framework
and Common Agreement,9 which
outlines principles and minimum terms
and conditions for trusted exchange to
enable interoperability across disparate
health information networks (HINs).
The Trusted Exchange Framework (TEF)
is focused on achieving the following
9 The draft version of the trusted Exchange
Framework may be accessed at https://
beta.healthit.gov/topic/interoperability/trustedexchange-framework-and-common-agreement.
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four important outcomes in the longterm:
• Professional care providers, who
deliver care across the continuum, can
access health information about their
patients, regardless of where the patient
received care.
• Patients can find all of their health
information from across the care
continuum, even if they do not
remember the name of the professional
care provider they saw.
• Professional care providers and
health systems, as well as public and
private health care organizations and
public and private payer organizations
accountable for managing benefits and
the health of populations, can receive
necessary and appropriate information
on groups of individuals without having
to access one record at a time, allowing
them to analyze population health
trends, outcomes, and costs; identify atrisk populations; and track progress on
quality improvement initiatives.
• The health IT community has open
and accessible application programming
interfaces (APIs) to encourage
entrepreneurial, user-focused
innovation that will make health
information more accessible and
improve EHR usability.
ONC will revise the draft TEF based
on public comment and ultimately
release a final version of the TEF that
will subsequently be available for
adoption by HINs and their participants
seeking to participate in nationwide
health information exchange. The goal
for stakeholders that participate in, or
serve as, a HIN is to ensure that
participants will have the ability to
seamlessly share and receive a core set
of data from other network participants
in accordance with a set of permitted
purposes and applicable privacy and
security requirements. Broad adoption
of this framework and its associated
exchange standards is intended to both
achieve the outcomes described above
while creating an environment more
conducive to innovation.
In light of the widespread adoption of
EHRs along with the increasing
availability of health information
exchange infrastructure predominantly
among hospitals, we are interested in
hearing from stakeholders on how we
could use the CMS health and safety
standards that are required for providers
and suppliers participating in the
Medicare and Medicaid programs (that
is, the Conditions of Participation
(CoPs), Conditions for Coverage (CfCs),
and Requirements for Participation
(RfPs) for Long Term Care Facilities) to
further advance electronic exchange of
information that supports safe, effective
transitions of care between hospitals
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and community providers. Specifically,
CMS might consider revisions to the
current CMS CoPs for hospitals such as:
Requiring that hospitals transferring
medically necessary information to
another facility upon a patient transfer
or discharge do so electronically;
requiring that hospitals electronically
send required discharge information to
a community provider via electronic
means if possible and if a community
provider can be identified; and
requiring that hospitals make certain
information available to patients or a
specified third-party application (for
example, required discharge
instructions) via electronic means if
requested.
On November 3, 2015, we published
a proposed rule (80 FR 68126) to
implement the provisions of the
IMPACT Act and to revise the discharge
planning CoP requirements that
hospitals (including Short-Term AcuteCare Hospitals, Long-Term Care
Hospitals (LTCHs), Inpatient
Rehabilitation Hospitals (IRFs),
Inpatient Psychiatric Hospitals (IPFs),
Children’s Hospitals, and Cancer
Hospitals), critical access hospitals
(CAHs), and home health agencies
(HHAs) must meet in order to
participate in the Medicare and
Medicaid programs. This proposed rule
has not been finalized yet. However,
several of the proposed requirements
directly address the issue of
communication between providers and
between providers and patients, as well
as the issue of interoperability:
• Hospitals and CAHs would be
required to transfer certain necessary
medical information and a copy of the
discharge instructions and discharge
summary to the patient’s practitioner, if
the practitioner is known and has been
clearly identified;
• Hospitals and CAHs would be
required to send certain necessary
medical information to the receiving
facility/post-acute care providers, at the
time of discharge; and
• Hospitals, CAHs and HHAs, would
need to comply with the IMPACT Act
requirements that would require
hospitals, CAHs, and certain post-acute
care providers to use data on quality
measures and data on resource use
measures to assist patients during the
discharge planning process, while
taking into account the patient’s goals of
care and treatment preferences.
We published another proposed rule
(81 FR 39448), on June 16, 2016, that
updated a number of CoP requirements
that hospitals and CAH must meet in
order to participate in the Medicare and
Medicaid programs. This proposed rule
has not been finalized yet. One of the
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proposed hospital CoP revisions in that
rule directly addresses the issues of
communication between providers and
patients, patient access to their medical
records, and interoperability. We
proposed that patients have the right to
access their medical records, upon an
oral or written request, in the form and
format requested by such patients, if it
is readily producible in such form and
format (including in an electronic form
or format when such medical records
are maintained electronically); or, if not,
in a readable hard copy form or such
other form and format as agreed to by
the facility and the individual,
including current medical records,
within a reasonable time frame. The
hospital must not frustrate the
legitimate efforts of individuals to gain
access to their own medical records and
must actively seek to meet these
requests as quickly as its record keeping
system permits.
We also published a final rule (81 FR
68688), on October 4, 2016, that revised
the requirements that LTC facilities
must meet to participate in the Medicare
and Medicaid programs, where we made
a number of revisions based on the
importance of effective communication
between providers during transitions of
care, such as transfers and discharges of
residents to other facilities or providers,
or to home. Among these revisions was
a requirement that the transferring LTC
facility must provide all necessary
information to the resident’s receiving
provider, whether it is an acute care
hospital, a LTC hospital, a psychiatric
facility, another LTC facility, a hospice,
home health agency, or another
community-based provider or
practitioner. We specified that necessary
information must include the following:
• Contact information of the
practitioner responsible for the care of
the resident;
• Resident representative information
including contact information;
• Advance directive information;
• Special instructions or precautions
for ongoing care;
• The resident’s comprehensive care
plan goals; and
• All other necessary information,
including a copy of the resident’s
discharge or transfer summary and any
other documentation to ensure a safe
and effective transition of care.
We note that the discharge summary
mentioned above must include
reconciliation of the resident’s
medications, as well as a recapitulation
of the resident’s stay, a final summary
of the resident’s status, and the postdischarge plan of care. And in the
preamble to the rule, we encouraged
LTC facilities to electronically exchange
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this information if possible and to
identify opportunities to streamline the
collection and exchange of resident
information by using information that
the facility is already capturing
electronically.
Additionally, we specifically invite
stakeholder feedback on the following
questions regarding possible new or
revised CoPs/CfCs/RfPs for
interoperability and electronic exchange
of health information:
• If CMS were to propose a new CoP/
CfC/RfP standard to require electronic
exchange of medically necessary
information, would this help to reduce
information blocking as defined in
section 4004 of the 21st Century Cures
Act?
• Should CMS propose new CoPs/
CfCs/RfPs for hospitals and other
participating providers and suppliers to
ensure a patient’s or resident’s (or his or
her caregiver’s or representative’s) right
and ability to electronically access his
or her health information without
undue burden? Would existing portals
or other electronic means currently in
use by many hospitals satisfy such a
requirement regarding patient/resident
access as well as interoperability?
• Are new or revised CMS CoPs/CfCs/
RfPs for interoperability and electronic
exchange of health information
necessary to ensure patients/residents
and their treating providers routinely
receive relevant electronic health
information from hospitals on a timely
basis or will this be achieved in the next
few years through existing Medicare and
Medicaid policies, HIPAA, and
implementation of relevant policies in
the 21st Century Cures Act?
• What would be a reasonable
implementation timeframe for
compliance with new or revised CMS
CoPs/CfCs/RfPs for interoperability and
electronic exchange of health
information if CMS were to propose and
finalize such requirements? Should
these requirements have delayed
implementation dates for specific
participating providers and suppliers, or
types of participating providers and
suppliers (for example, participating
providers and suppliers that are not
eligible for the Medicare and Medicaid
EHR Incentive Programs)?
• Do stakeholders believe that new or
revised CMS CoPs/CfCs/RfPs for
interoperability and electronic exchange
of health information would help
improve routine electronic transfer of
health information as well as overall
patient/resident care and safety?
• Under new or revised CoPs/CfCs/
RfPs, should non-electronic forms of
sharing medically necessary information
(for example, printed copies of patient/
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resident discharge/transfer summaries
shared directly with the patient/resident
or with the receiving provider or
supplier, either directly transferred with
the patient/resident or by mail or fax to
the receiving provider or supplier) be
permitted to continue if the receiving
provider, supplier, or patient/resident
cannot receive the information
electronically?
• Are there any other operational or
legal considerations (for example,
HIPAA), obstacles, or barriers that
hospitals and other providers and
suppliers would face in implementing
changes to meet new or revised
interoperability and health information
exchange requirements under new or
revised CMS CoPs/CfCs/RfPs if they are
proposed and finalized in the future?
• What types of exceptions, if any, to
meeting new or revised interoperability
and health information exchange
requirements, should be allowed under
new or revised CMS CoPs/CfCs/RfPs if
they are proposed and finalized in the
future? Should exceptions under the
QPP including CEHRT hardship or
small practices be extended to new
requirements? Would extending such
exceptions impact the effectiveness of
these requirements?
We would also like to directly address
the issue of communication between
hospitals (as well as the other providers
and suppliers across the continuum of
patient care) and their patients and
caregivers. MyHealthEData is a
government-wide initiative aimed at
breaking down barriers that contribute
to preventing patients from being able to
access and control their medical
records. Privacy and security of patient
data will be at the center of all CMS
efforts in this area. CMS must protect
the confidentiality of patient data, and
CMS is completely aligned with the
Department of Veterans Affairs (VA), the
National Institutes of Health (NIH),
ONC, and the rest of the federal
government, on this objective.
While some Medicare beneficiaries
have had, for quite some time, the
ability to download their Medicare
claims information, in pdf or Excel
formats, through the CMS Blue Button
platform, the information was provided
without any context or other
information that would help
beneficiaries understand what the data
was really telling them. For
beneficiaries, their claims information is
useless if it is either too hard to obtain
or, as was the case with the information
provided through previous versions of
Blue Button, hard to understand. In an
effort to fully contribute to the federal
government’s MyHealthEData initiative,
CMS developed and launched the new
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Blue Button 2.0, which represents a
major step toward giving patients
meaningful control of their health
information in an easy-to-access and
understandable way. Blue Button 2.0 is
a developer-friendly, standards-based
API that enables Medicare beneficiaries
to connect their claims data to secure
applications, services, and research
programs they trust. The possibilities for
better care through Blue Button 2.0 data
are exciting, and might include enabling
the creation of health dashboards for
Medicare beneficiaries to view their
health information in a single portal, or
allowing beneficiaries to share complete
medication lists with their doctors to
prevent dangerous drug interactions.
To fully understand all of these health
IT interoperability issues, initiatives,
and innovations through the lens of its
regulatory authority, CMS invites
members of the public to submit their
ideas on how best to accomplish the
goal of fully interoperable health IT and
EHR systems for Medicare- and
Medicaid-participating providers and
suppliers, as well as how best to further
contribute to and advance the
MyHealthEData initiative for patients.
We are particularly interested in
identifying fundamental barriers to
interoperability and health information
exchange, including those specific
barriers that prevent patients from being
able to access and control their medical
records. We also welcome the public’s
ideas and innovative thoughts on
addressing these barriers and ultimately
removing or reducing them in an
effective way, specifically through
revisions to the current CMS CoPs, CfCs,
and RfPs for hospitals and other
participating providers and suppliers.
We have received stakeholder input
through recent CMS Listening Sessions
on the need to address health IT
adoption and interoperability among
providers that were not eligible for the
Medicare and Medicaid EHR Incentives
program, including long-term and postacute care providers, behavioral health
providers, clinical laboratories and
social service providers, and we would
also welcome specific input on how to
encourage adoption of certified health
IT and interoperability among these
types of providers and suppliers as well.
We note that this is a Request for
Information only. Respondents are
encouraged to provide complete but
concise and organized responses,
including any relevant data and specific
examples. However, respondents are not
required to address every issue or
respond to every question discussed in
this Request for Information to have
their responses considered. In
accordance with the implementing
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regulations of the Paperwork Reduction
Act at 5 CFR 1320.3(h)(4), all responses
will be considered provided they
contain information CMS can use to
identify and contact the commenter, if
needed.
This Request for Information is issued
solely for information and planning
purposes; it does not constitute a
Request for Proposal (RFP),
applications, proposal abstracts, or
quotations. This Request for Information
does not commit the U.S. Government
to contract for any supplies or services
or make a grant award. Further, CMS is
not seeking proposals through this
Request for Information and will not
accept unsolicited proposals.
Responders are advised that the U.S.
Government will not pay for any
information or administrative costs
incurred in response to this Request for
Information; all costs associated with
responding to this Request for
Information will be solely at the
interested party’s expense.
We note that not responding to this
Request for Information does not
preclude participation in any future
procurement, if conducted. It is the
responsibility of the potential
responders to monitor this Request for
Information announcement for
additional information pertaining to this
request. In addition, we note that CMS
will not respond to questions about the
policy issues raised in this Request for
Information. CMS will not respond to
comment submissions in response to
this Request for Information in the FY
2019 IPPS/LTCH PPS final rule. Rather,
CMS will actively consider all input as
we develop future regulatory proposals
or future subregulatory policy guidance.
CMS may or may not choose to contact
individual responders. Such
communications would be for the sole
purpose of clarifying statements in the
responders’ written responses.
Contractor support personnel may be
used to review responses to this Request
for Information. Responses to this notice
are not offers and cannot be accepted by
the Government to form a binding
contract or issue a grant. Information
obtained as a result of this Request for
Information may be used by the
Government for program planning on a
nonattribution basis. Respondents
should not include any information that
might be considered proprietary or
confidential.
This Request for Information should
not be construed as a commitment or
authorization to incur cost for which
reimbursement would be required or
sought. All submissions become U.S.
Government property and will not be
returned. CMS may publically post the
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public comments received, or a
summary of those public comments.
XI. Collection of Information
Requirements
A. Statutory Requirement for
Solicitation of Comments
Under the Paperwork Reduction Act
of 1995 (PRA), we are required to
provide 60-day notice in the Federal
Register and solicit public comment
before a collection of information
requirement is submitted to the OMB for
review and approval. To fairly evaluate
whether an information collection
should be approved by OMB, section
3506(c)(2)(A) of the PRA 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
affected public, including automated
collection techniques.
This proposed rule makes reference to
associated information collections that
are not discussed in the regulation text
contained in this document.
B. Collection of Information
Requirements for Updates Related to the
IRF PPS
As discussed in section VIII.A of this
proposed rule, we are proposing to
modify § 412.622(a)(3)(iv) to provide
that the post-admission physician
evaluation required under
§ 412.622(a)(4)(ii) may count as one of
the face-to-face physician visits required
under § 412.622(a)(3)(iv) beginning with
FY 2019, that is, for all IRF discharges
beginning on or after October 1, 2018.
As discussed in section VIII.B of this
proposed rule, we are proposing to
modify § 412.622(a)(5) to allow
rehabilitation physicians to attend
interdisciplinary team meetings
remotely beginning with FY 2019, that
is, for all IRF discharges beginning on or
after October 1, 2018. As discussed in
section VIII.C of this proposed rule, we
are proposing to modify § 412.606 to
remove subsection (a) and eliminate the
admission order requirement beginning
with FY 2019, that is, for all IRF
discharges beginning on or after October
1, 2018.
We estimate the cost savings
associated with our proposal to allow
the post-admission physician evaluation
to count as one of the required face-toface physician visits, as discussed in
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section VIII.A of this proposed rule, in
the following way. We first estimate that
the post-admission physician evaluation
takes approximately 60 minutes to
complete and the required face-to-face
physician visits take, on average, 30
minutes each to complete. Both of these
requirements must be fulfilled by a
rehabilitation physician. To estimate the
burden reduction of this proposal,
therefore, we obtained the hourly wage
rate for a physician (there was not a
specific wage rate for a rehabilitation
physician) from the Bureau of Labor
Statistics (https://www.bls.gov/ooh/
healthcare/home.htm) to be $98.83. The
hourly wage rate including fringe
benefits and overhead is $197.66.
In FY 2017, we estimate that there
were approximately 1,124 total IRFs and
on average 357 discharges per IRF
annually. Therefore, there were an
estimated seven patients (357
discharges/52 weeks) at the IRF per
week. The rehabilitation physician
spends 357 hours (60 minutes × 357
discharges) annually completing the
post-admission physician evaluation. If
on average each IRF has seven patients
per week and each face-to-face visit
takes an estimated 30 minutes for the
rehabilitation physician to complete,
annually the rehabilitation physician
spends an estimated 546 hours ((7
patients × 3 visits × 0.5 hours) × 52
weeks) completing the required face-toface physician visits. On average, a
rehabilitation physician currently
spends 903 hours (357 hours + 546
hours) annually completing postadmission physician evaluations and
the required face-to-face physician
visits.
If we allow the post-admission
physician evaluation to count as one of
the face-to-face required physician
visits, we would need to estimate the
average time spent on one face-to-face
visit ((7 patients × 1 visit × 0.5 hours)
× 52 weeks). Removing one of the faceto-face visits required in the first week
of the IRF admission will save the
rehabilitation physician approximately
182 hours ((7 patients × 1 visit × 0.5
hours) × 52 weeks) annually per IRF.
This is a savings of 204,568 hours across
all IRFs annually (1,124 IRFs × 182
hours).
To estimate the total cost savings per
IRF annually, we multiply 182 hours by
$197.66 (average physician’s salary
doubled to account for fringe and
overhead costs). Therefore, we can
estimate the total cost savings per IRF
will be $36,000 annually. We estimate
that the total cost savings for allowing
the post-admission physician evaluation
to count as one of the required face-toface physician visits, will be $40.5
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million (1,124 IRFs × $36,000) annually
across the IRF setting. We would like to
note that all of the cost savings reflected
in this estimate will occur on the
Medicare Part B side, in the form of
reduced Part B payments to physicians
under the physician fee schedule.
Physician services provided in an IRF
are billed directly to Part B therefore,
IRFs do not pay physicians for their
services.
We do not estimate a cost savings in
removing the admission order coverage
criteria requirements as IRFs are still
required to comply with the
enforcement of the admission
requirements located in §§ 482.24(c),
482.12(c) and 412.3. Any increase in
Medicare payments due to the proposed
change would be negligible given the
anticipated low volume of claims that
would be payable under this proposed
policy that would not have been paid
under the current policy. Therefore, we
believe that the reduction of burden in
this proposed removal is in reducing the
redundancy of requirements only.
As discussed in section VII.A of this
proposed rule, we are proposing to
remove the FIMTM instrument and
associated Function Modifiers from the
IRF–PAI beginning with FY 2020, that
is, for all IRF discharges beginning on or
after October 1, 2019. The proposed
removal of the FIMTM instrument and
associated Function Modifiers from the
IRF PAI would result in the removal of
11 data items. As a result, we estimate
the burden and costs associated with the
collection of this data will be reduced
for IRFs. Specifically, we estimate the
proposed removal of the FIMTM
instrument and the associated Function
Modifiers will save 25 minutes of
nursing/clinical staff time used to report
data on both admission and discharge
which was the estimated time needed to
complete these items when the FIMTM
instrument was added to the IRF–PAI in
the FY 2002 IRF PPS Final Rule (66 FR
41375). We believe that the FIMTM items
we are proposing to remove may be
completed by social service assistants,
Licensed Practical Nurses (LPN),
recreational therapists, social workers,
dietitians and nutritionists, Registered
Nurses (RN), Occupational Therapists
(OT), Speech Language Pathologists
(SLP) and audiologists, and or Physical
Therapists (PT), depending on the item.
To estimate the burden associated with
the collection of these data items, we
obtained mean hourly wages for these
staff from the U.S. Bureau of Labor
Statistics’ May 2016 National
Occupational Employment and Wage
Estimates (https://www.bls.gov/oes/
2016/may/oes_nat.htm) and doubled
them to account for overhead and fringe
benefits. We estimate IRF–PAI
preparation and coding costs using a
social worker hourly wage rate of
$48.76, a social work assistant’s hourly
wage rate of $32.82, an RN hourly wage
rate of $69.40, an LPN hourly wage rate
of $43.12, a recreation therapist hourly
wage rate of $46.34, a dietitian/
nutritionist hourly wage rate of $57.38,
a speech-language pathologist hourly
wage rate of $75.20, an audiologist
hourly wage rate of $76.24, an
occupational therapist hourly wage rate
of $80.50, and a physical therapist
hourly wage rate of $83.86. Using the
mean hourly wages (doubled to account
for overhead and fringe benefits) for the
staffing categories above, we calculate
an average rate of $61.36. The $61.36
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 for
the IRF–PAI.
To estimate the burden reduction
associated with this proposal, we
estimate that there are approximately
401,760 discharges from 1,124 IRFs in
FY 2017 resulting in an approximate
average of 357 discharges per IRF
annually. This equates to a reduction of
167,400 hours for all IRFs ((401,760
discharges × 25 minutes)/60 minutes).
This is 149 hours (167,400 hours/1,124
IRFs) per IRF annually. We estimate the
total cost savings per IRF will be
approximately $9,100 (149 hours ×
$61.36) annually. We estimate that the
total cost savings for all IRF providers
will be approximately $10.2 million
(1,124 IRFs × $9,100) annually.
C. Collection of Information
Requirements for Updates Related to the
IRF QRP
An IRF that does not meet the
requirements of the IRF QRP for a fiscal
year will receive a 2 percentage point
reduction to its otherwise applicable
annual increase factor for that fiscal
year. Information is not currently
available to determine the precise
number of IRFs that will receive less
than the full annual increase factor for
FY 2019 due to non-compliance with
the requirements of the IRF QRP.
We believe that the burden associated
with the IRF QRP is the time and effort
associated with complying with the
requirements of the IRF QRP. As of
February 1, 2018, there are
approximately 1,124 IRFs reporting
quality data to CMS. For the purposes
of calculating the costs associated with
the collection of information
requirements, we obtained mean hourly
wages for these staff from the U.S.
Bureau of Labor Statistics’ May 2016
National Occupational Employment and
Wage Estimates (https://www.bls.gov/
oes/current/oes_nat.htm). To account
for overhead and fringe benefits, we
have doubled the hourly wage. These
amounts are detailed in Table 13.
TABLE 13—U.S. BUREAU OF LABOR STATISTICS’ MAY 2016 NATIONAL OCCUPATIONAL EMPLOYMENT AND WAGE
ESTIMATES
Occupation
code
Occupation title
sradovich on DSK3GMQ082PROD with PROPOSALS3
Registered Nurse (RN) ....................................................................................
Medical Records and Health Information Technician ......................................
As discussed in section IX.4. of this
proposed rule, we are proposing to
remove two measures from the IRF QRP.
In section IX.4.2 of this proposed rule,
we are proposing to remove the
measure, Percent of Residents or
Patients Who Were Assessed and
Appropriately Given the Seasonal
Influenza Vaccine (Short Stay) (NQF
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29–1141
29–2071
#0680), beginning with the FY 2021 IRF
QRP. IRFs will no longer be required to
submit data on this measure beginning
with patients discharged on October 1,
2018, and the items will be removed
from the IRF–PAI V3.0, effective
October 1, 2019. As a result, the
estimated burden and cost for IRFs for
complying with requirements of the FY
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Mean hourly
wage ($/hr)
Overhead and
fringe benefit
($/hr)
$34.70
19.93
$34.70
19.93
Adjusted
hourly wage
($/hr)
$69.40
39.86
2021 IRF QRP will be reduced.
Specifically, we believe that there will
be a 4.8 minute reduction in clinical
staff time to report data per patient stay.
We estimate 401,760 discharges from
1,124 IRFs annually. This equates to a
decrease of 32,141 hours in burden for
all IRFs (0.08 hours per assessment ×
401,760 discharges). Given 4.8 minutes
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of RN time at $69.40 per hour
completing an average of 357 sets of
IRF–PAI assessments per provider per
year, we estimate that the total cost will
be reduced by $1,982 per IRF annually,
or $2,227,768 for all IRFs annually. This
decrease in burden will be accounted
for in the information collection under
OMB control number (0938–0842).
In addition, we are proposing to
remove one CDC NHSN measure,
beginning with the FY 2020 IRF QRP,
which will result in a decrease in
burden and cost for IRFs. Providers will
no longer be required to submit data
beginning with October 1, 2018
admissions and discharges. We estimate
that the removal of the National
Healthcare Safety Network (NHSN)
Facility-wide Inpatient Hospital-onset
Methicillin-resistant Staphylococcus
aureus (MRSA) Bacteremia Outcome
Measure (NQF #1716) measure will
result in a 3-hour (15 minutes per
MRSA submission × 12 estimated
submissions IRF per year) reduction in
clinical staff time annually to report
data which equates to a decrease of
3,372 hours (3 hours burden per IRF per
year × 1,124 total IRFs) in burden for all
IRFs. Given 10 minutes of RN time at
$69.40 per hour, and 5 minutes of
Medical Records or Health Information
Technician at $39.86 per hour, for the
submission of MRSA data to the NHSN
per IRF per year, we estimate that the
total cost of complying with
requirements of the IRF QRP will be
reduced by $178.66 per IRF annually, or
$200,813.84 for all IRFs annually.
In summary, the proposed IRF QRP
measure removals will result in a
burden reduction of $2160.66 per IRF
annually, and $2,428,581.84 for all IRFs
annually.
XII. Response to Public Comments
sradovich on DSK3GMQ082PROD with PROPOSALS3
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 proposed rule, 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 2019
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
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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 also 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.
Furthermore, this proposed rule also
adopts policy changes under the
statutory discretion afforded to the
Secretary under section 1886(j)(7) of the
Act. Specifically, we propose to remove
the FIMTM instrument and associated
Function Modifiers from the IRF–PAI,
revise certain IRF coverage
requirements, and remove two measures
and codify policies that have been
finalized under the IRF QRP.
B. Overall Impact
We have examined the impacts of this
rule as required by Executive Order
12866 on Regulatory Planning and
Review (September 30, 1993), Executive
Order 13563 on Improving Regulation
and Regulatory Review (January 18,
2011), the Regulatory Flexibility Act
(RFA) (September 19, 1980, Pub. L. 96–
354), section 1102(b) of the Social
Security Act, section 202 of the
Unfunded Mandates Reform Act of 1995
(March 22, 1995; Pub. L. 104–4),
Executive Order 13132 on Federalism
(August 4, 1999), the Congressional
Review Act (5 U.S.C. 804(2) and
Executive Order 13771 on Reducing
Regulation and Controlling Regulatory
Costs (January 30, 2017).
Executive Orders 12866 and 13563
direct agencies to assess all costs and
benefits of available regulatory
alternatives and, if regulation is
necessary, to select regulatory
approaches that maximize net benefits
(including potential economic,
environmental, public health and safety
effects, distributive impacts, and
equity). Section 3(f) of Executive Order
12866 defines a ‘‘significant regulatory
action’’ as an action that is likely to
result in a rule: (1) Having an annual
effect on the economy of $100 million
or more in any 1 year, or adversely and
materially affecting a sector of the
economy, productivity, competition,
jobs, the environment, public health or
safety, or state, local or tribal
governments or communities (also
referred to as ‘‘economically
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21009
significant’’); (2) creating a serious
inconsistency or otherwise interfering
with an action taken or planned by
another agency; (3) materially altering
the budgetary impacts of entitlement
grants, user fees, or loan programs or the
rights and obligations of recipients
thereof; or (4) raising novel legal or
policy issues arising out of legal
mandates, the President’s priorities, or
the principles set forth in the Executive
Order.
A regulatory impact analysis (RIA)
must be prepared for major rules with
economically significant effects ($100
million or more in any 1 year). We
estimate the total impact of the policy
updates described in this proposed rule
by comparing the estimated payments in
FY 2019 with those in FY 2018. This
analysis results in an estimated $75
million increase for FY 2019 IRF PPS
payments. Additionally we estimate that
costs associated with the proposals to
revise certain IRF coverage requirements
and update the reporting requirements
under the IRF quality reporting program
result in an estimated $42.9 million
reduction in costs in FY 2019 for IRFs.
We estimate that this rulemaking is
‘‘economically significant’’ as measured
by the $100 million threshold, and
hence also a major rule under the
Congressional Review Act. Also, the
rule has been reviewed by OMB.
Accordingly, we have prepared a
Regulatory Impact Analysis that, to the
best of our ability, presents the costs
and benefits of the rulemaking.
C. Anticipated Effects
1. Effects on IRFs
The RFA requires agencies to analyze
options for regulatory relief of small
entities, if a rule has a significant impact
on a substantial number of small
entities. For purposes of the RFA, small
entities include small businesses,
nonprofit organizations, and small
governmental jurisdictions. Most IRFs
and most other providers and suppliers
are small entities, either by having
revenues of $7.5 million to $38.5
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 and updated
on February 26, 2016.) 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
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Medicare payments. Therefore, we
assume that all IRFs (an approximate
total of 1,120 IRFs, of which
approximately 55 percent are nonprofit
facilities) are considered small entities
and that Medicare payment constitutes
the majority of their revenues. The HHS
generally uses a revenue impact of 3 to
5 percent as a significance threshold
under the RFA. As shown in Table 14,
we estimate that the net revenue impact
of this proposed rule on all IRFs is to
increase estimated payments by
approximately 0.9 percent. The rates
and policies set forth in this proposed
rule will not have a significant impact
(not greater than 3 percent) 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 in this section, the rates
and policies set forth in this proposed
rule will not have a significant impact
(not greater than 3 percent) on a
substantial number of rural hospitals
based on the data of the 137 rural units
and 11 rural hospitals in our database of
1,124 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)
(UMRA) 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 2018, that
threshold is approximately $150
million. This proposed rule does not
mandate any requirements for State,
local, or tribal governments, or for the
private sector.
Executive Order 13132 establishes
certain requirements that an agency
must meet when it promulgates a
proposed rule (and subsequent final
rule) that imposes substantial direct
requirement costs on state and local
governments, preempts state law, or
otherwise has federalism implications.
As stated, 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.
Executive Order 13771, titled
Reducing Regulation and Controlling
Regulatory Costs, was issued on January
30, 2017 and requires that the costs
associated with significant new
regulations ‘‘shall, to the extent
permitted by law, be offset by the
elimination of existing costs associated
with at least two prior regulations.’’
This proposed rule, if finalized, is
considered an E.O. 13771 deregulatory
action. We estimate that this rule would
generate $46.49 million in annualized
cost savings, discounted at 7 percent
relative to year 2016, over a perpetual
time horizon. Details on the estimated
costs savings of this rule can be found
in the preceding analyses.
2. Detailed Economic Analysis
This proposed rule proposes updates
to the IRF PPS rates contained in the FY
2018 IRF PPS final rule (82 FR 36238).
Specifically, this proposed rule would
update the CMG relative weights and
average length of stay values, the wage
index, and the outlier threshold for
high-cost cases. This proposed rule
would apply a MFP adjustment to the
FY 2019 IRF market basket increase
factor in accordance with section
1886(j)(3)(C)(ii)(I) of the Act, and a 0.75
percentage point reduction to the FY
2019 IRF market basket increase factor
in accordance with sections
1886(j)(3)(C)(ii)(II) and (D)(v) of the Act.
Further, this proposed rule contains
proposed revisions to remove the FIMTM
instrument and associated Function
Modifiers from the IRF–PAI beginning
in FY 2020, revise certain IRF coverage
requirements, and to revise and update
the IRF quality reporting requirements
that are expected to result in some
additional financial effects on IRFs. In
addition, section IX.J. of this proposed
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
changes and updates described in this
proposed rule will be a net estimated
increase of $75 million in payments to
IRF providers. This estimate 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 IX.J. of this proposed rule). The
impact analysis in Table 14 of this
proposed rule represents the projected
effects of the updates to IRF PPS
payments for FY 2019 compared with
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the estimated IRF PPS payments in FY
2018. 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 2019, 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
2019 IRF market basket increase factor
in accordance with section
1886(j)(3)(C)(ii)(I) of the Act, and a 0.75
percentage point reduction to the FY
2017 IRF market basket increase factor
in accordance with sections
1886(j)(3)(C)(ii)(II) and (D)(v) of the Act.
We estimate the total increase in
payments to IRFs in FY 2019, relative to
FY 2018, will be approximately $75
million.
This estimate is derived from the
application of the FY 2019 IRF 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 0.75 percentage point
reduction in accordance with sections
1886(j)(3)(C)(ii)(II) and (D)(v) of the Act,
which yields an estimated increase in
aggregate payments to IRFs of $110
million. Furthermore, there is an
additional estimated $35 million
decrease in aggregate payments to IRFs
due to the proposed update to the
outlier threshold amount. Outlier
payments are estimated to decrease from
approximately 3.4 percent in FY 2018 to
3.0 percent in FY 2019. Therefore,
summed together, we estimate that these
updates will result in a net increase in
estimated payments of $75 million from
FY 2018 to FY 2019.
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The effects of the proposed updates
that impact IRF PPS payment rates are
shown in Table 14. 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 3.4 percent to 3.0 percent
of total estimated payments for FY 2019,
consistent with section 1886(j)(4) of the
Act.
• The effects of the proposed annual
market basket update (using the IRF
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 0.75
percentage point reduction in
accordance with sections
1886(j)(3)(C)(ii)(II) and (D)(v) 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
2019 payment changes relative to the
estimated FY 2018 payments.
3. Description of Table 14
Table 14 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 14 shows the overall
impact on the 1,124 IRFs included in
the analysis.
The next 12 rows of Table 14 contain
IRFs categorized according to their
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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 976
IRFs located in urban areas included in
our analysis. Among these, there are 707
IRF units of hospitals located in urban
areas and 269 freestanding IRF hospitals
located in urban areas. There are 148
IRFs located in rural areas included in
our analysis. Among these, there are 137
IRF units of hospitals located in rural
areas and 11 freestanding IRF hospitals
located in rural areas. There are 386 forprofit IRFs. Among these, there are 346
IRFs in urban areas and 40 IRFs in rural
areas. There are 621 non-profit IRFs.
Among these, there are 534 urban IRFs
and 87 rural IRFs. There are 117
government-owned IRFs. Among these,
there are 96 urban IRFs and 21 rural
IRFs.
The remaining four parts of Table 14
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.
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The estimated impacts of each policy
described in this proposed rule to the
facility categories listed are shown in
the columns of Table 14. The
description of each column is as
follows:
• Column (1) shows the facility
classification categories.
• Column (2) shows the number of
IRFs in each category in our FY 2019
analysis file.
• Column (3) shows the number of
cases in each category in our FY 2019
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
labor-related share and wage index, in a
budget-neutral manner.
• Column (6) 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 (7) compares our estimates
of the payments per discharge,
incorporating all of the proposed
policies reflected in this proposed rule
for FY 2019 to our estimates of
payments per discharge in FY 2018.
The average estimated increase for all
IRFs is approximately 0.9 percent. This
estimated net increase includes the
effects of the proposed IRF market
basket increase factor for FY 2019 of 2.9
percent, reduced by a productivity
adjustment of 0.8 percentage point in
accordance with section
1886(j)(3)(C)(ii)(I) of the Act, and further
reduced by 0.75 percentage point in
accordance with sections
1886(j)(3)(C)(ii)(II) and (D)(v) of the Act.
It also includes the approximate 0.4
percent overall decrease 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 budgetneutral 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 14—IRF IMPACT TABLE FOR FY 2019
[Columns 4 through 7 in percentage]
Facility classification
Number of
IRFs
Number of
cases
Outlier
FY 2019
CBSA wage
index and
labor-share
CMG weights
Total percent
change 1
(1)
(2)
(3)
(4)
(5)
(6)
(7)
1,124
707
137
269
11
346
40
534
87
96
21
976
148
401,760
169,671
22,160
205,565
4,364
202,800
8,534
149,934
14,874
22,502
3,116
375,236
26,524
¥0.4
¥0.7
¥0.5
¥0.2
¥0.1
¥0.2
¥0.3
¥0.6
¥0.6
¥0.8
¥0.5
¥0.4
¥0.5
0.0
0.0
¥0.3
0.0
0.2
0.0
0.0
0.0
¥0.4
¥0.1
¥0.2
0.0
¥0.2
0.0
0.0
0.1
0.0
0.1
0.0
0.1
0.0
0.1
0.0
0.1
0.0
0.1
0.9
0.7
0.6
1.2
1.5
1.2
1.2
0.8
0.5
0.5
0.7
1.0
0.7
29
141
111
172
55
109
183
78
98
16,647
53,238
49,452
48,452
35,750
37,580
81,790
28,685
23,642
¥0.2
¥0.4
¥0.4
¥0.5
¥0.2
¥0.4
¥0.3
¥0.4
¥0.9
0.0
0.0
¥0.3
0.1
0.0
¥0.1
0.4
¥0.3
0.1
0.0
0.0
0.0
0.1
¥0.1
0.0
0.0
0.0
0.0
1.1
0.9
0.6
1.0
1.1
0.9
1.4
0.7
0.5
5
11
13
25
15
29
40
6
4
1,279
1,439
2,703
4,533
3,713
4,665
7,141
699
352
¥0.5
¥0.6
¥0.2
¥0.4
¥0.2
¥0.6
¥0.4
¥1.1
¥1.9
2.0
¥0.5
¥0.5
¥0.6
¥0.2
0.0
¥0.5
0.3
¥0.4
0.0
0.0
0.0
0.1
0.1
0.1
0.1
0.2
0.0
2.8
0.3
0.6
0.3
1.1
0.9
0.5
0.7
¥0.9
1,016
65
31
12
356,200
34,206
9,372
1,982
¥0.4
¥0.5
¥0.7
¥0.5
0.0
0.0
0.0
0.5
0.0
0.0
0.0
0.0
1.0
0.8
0.7
1.4
36
140
294
371
283
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 (DSHPP):
DSH PP = 0% ...................................
DSH PP <5% ....................................
DSH PP 5%–10% .............................
DSH PP 10%–20% ...........................
DSH PP greater than 20% ...............
10,174
54,050
126,929
134,581
76,026
¥1.2
¥0.3
¥0.3
¥0.4
¥0.5
0.3
0.0
0.0
0.0
¥0.1
0.0
0.0
0.0
0.0
0.0
0.5
1.1
1.1
0.9
0.7
1 This column includes the impact of the updates in columns (4), (5), and (6) above, and of the IRF market basket increase factor for FY 2019
(2.9 percent), reduced by 0.8 percentage point for the productivity adjustment as required by section 1886(j)(3)(C)(ii)(I) of the Act, and reduced
by 0.75 percentage point in accordance with sections 1886(j)(3)(C)(ii)(II) and -(D)(v) of the Act.
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4. 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 14. In the FY 2018 IRF PPS final
rule (82 FR 36238), we used FY 2016
IRF claims data (the best, most complete
data available at that time) to set the
outlier threshold amount for FY 2018 so
that estimated outlier payments would
equal 3 percent of total estimated
payments for FY 2018.
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For this proposed rule, we are using
preliminary FY 2017 IRF claims data,
and, based on that preliminary analysis,
we estimate that IRF outlier payments as
a percentage of total estimated IRF
payments would be 3.4 percent in FY
2018. 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 2019.
The estimated change in total IRF
payments for FY 2019, therefore,
includes an approximate 0.4 percent
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decrease in payments because the
estimated outlier portion of total
payments is estimated to decrease from
approximately 3.4 percent to 3 percent.
The impact of this proposed outlier
adjustment update (as shown in column
4 of Table 14) is to decrease estimated
overall payments to IRFs by about 0.4
percent. We estimate the largest
decrease in payments from the update to
the outlier threshold amount to be 1.9
percent for rural IRFs in the Pacific
region.
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5. Impact of the Proposed CBSA Wage
Index and Labor-Related Share
In column 5 of Table 14, 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.C. of this
proposed rule, we are proposing to
update the labor-related share from 70.7
percent in FY 2018 to 70.6 percent in
FY 2019.
6. Impact of the Proposed Update to the
CMG Relative Weights and Average
Length of Stay Values
In column 6 of Table 14, 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
estimate that these proposed updates
will affect overall estimated payments of
IRFs. However, we do expect these
updates to have small distributional
effects.
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7. Effects of the Proposed Removal of
the FIMTM Instrument and Associated
Function Modifiers From the IRF–PAI
Beginning in FY 2020
As discussed in section VII. of this
proposed rule, we are proposing to
remove the FIMTM Instrument and
Associated Function Modifiers from the
IRF–PAI beginning in FY 2020. We
estimate that removal of these data
items from the IRF–PAI will reduce
administrative burden on IRF providers
and reduce the costs incurred by IRFs
by $10.2 million for FY 2020.
8. Effects of Proposed Revisions to
Certain IRF PPS Requirements
As discussed in section VIII. of this
proposed rule, in response to the RFI,
we are proposing to remove and amend
certain IRF coverage criteria
requirements that are overly
burdensome on IRF providers beginning
in FY 2019, that is, all IRF discharges on
or after October 1, 2018. We estimate
that the removal and updates to these
requirements will reduce unnecessary
regulatory and administrative burden on
IRF providers and reduce the costs
incurred by IRFs by 40.5 million for FY
2019.
9. Effects of Proposed Requirements for
the IRF QRP for FY 2020
In accordance with section 1886(j)(7)
of the Act, we will reduce by 2
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percentage points the market basket
increase factor otherwise applicable to
an IRF for a fiscal year if the IRF does
not comply with the requirements of the
IRF QRP for that fiscal year. In section
VII.K of this proposed rule, we discuss
the proposed method for applying the 2
percentage point reduction to IRFs that
fail to meet the IRF QRP requirements.
As discussed in section IX.4. of this
proposed rule, we are proposing to
remove two measures from the IRF QRP:
Percent of Residents or Patients Who
Were Assessed and Appropriately Given
the Seasonal Influenza Vaccine (Short
Stay) (NQF #0680) and National
Healthcare Safety Network (NHSN)
Facility-wide Inpatient Hospital-onset
Methicillin-resistant Staphylococcus
aureus (MRSA) Bacteremia Outcome
Measure (NQF #1716).
We describe the estimated burden and
cost reductions for both of these
measures in section XI.C of this rule. In
summary, the proposed IRF QRP
measure removals will result in a
burden reduction of $2,160.66 per IRF
annually, and $2,428,581.84 for all IRFs
annually. We intend to continue to
closely monitor the effects of the quality
reporting program on IRFs and to help
perpetuate successful reporting
outcomes through ongoing stakeholder
education, national trainings, IRF
announcements, website postings, CMS
Open Door Forums, and general and
technical help desks.
D. Alternatives Considered
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 IRF market basket
increase factor for FY 2019. 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 2019, and
sections 1886(j)(3)(C)(ii)(II) and
1886(j)(3)(D)(v) of the Act require the
Secretary to apply a 0.75 percentage
point reduction to the market basket
increase factor for FY 2019. Thus, in
accordance with section 1886(j)(3)(C) of
the Act, we propose to update the IRF
federal prospective payments in this
proposed rule by 1.35 percent (which
equals the 2.9 percent estimated IRF
market basket increase factor for FY
2019 reduced by a 0.8 percentage point
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21013
productivity adjustment as required by
section 1886(j)(3)(C)(ii)(I) of the Act and
further reduced by 0.75 percentage
point).
We considered maintaining the
existing CMG relative weights and
average length of stay values for FY
2019. 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 2019.
However, as discussed in more detail in
the FY 2015 final rule (79 FR 45872), 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 the previous
changes.
We considered maintaining the
existing outlier threshold amount for FY
2019. However, analysis of updated FY
2019 data indicates that estimated
outlier payments would be higher than
3 percent of total estimated payments
for FY 2019, by approximately 0.4
percent, unless we updated the outlier
threshold amount. Consequently, we
propose adjusting the outlier threshold
amount in this proposed rule to reflect
a 0.4 percent decrease thereby setting
the total outlier payments equal to 3
percent, instead of 3.4 percent, of
aggregate estimated payments in FY
2019.
We considered not proposing to
remove the FIMTM instrument and
associated Function Modifiers from the
IRF–PAI in this proposed rule.
However, in light of recently available
data located in the Quality Indicators
section of the IRF–PAI, we believe that
removal of the FIMTM instrument and
associated Function Modifiers is
appropriate at this time. As the data
items located in the Quality Indicators
section of the IRF–PAI are now
collected for all IRFs, we believe the
collection of the FIM data is no longer
necessary and creates undue burden on
providers. Consequently, we propose
removing these data items from the IRF–
PAI beginning with FY 2020.
Additionally, the proposed removal of
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the FIMTM Instrument and associated
Function Modifiers would necessitate
the incorporation of the data items from
the Quality Indicators section of the
IRF–PAI into the CMG classification
system. To ensure that the CMGs,
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 incorporate the data
items from the Quality Indicators
section of the IRF–PAI into the
development of the CMGs beginning
with FY 2020.
We considered not proposing
revisions to certain IRF PPS
requirements in order to reduce burden
in this proposed rule. However, after the
response that we received from
providers regarding the RFI solicitation,
we believed that there were areas in
which we could reduce unnecessary
regulatory and administrative burden on
IRF providers, while ensuring that IRF
patients would continue to receive
adequate care.
E. Regulatory Review Costs
If regulations impose administrative
costs on private entities, such as the
time needed to read and interpret this
proposed rule, we should estimate the
cost associated with regulatory review.
Due to the uncertainty involved with
accurately quantifying the number of
entities that will review the rule, we
assume that the total number of unique
commenters on FY 2018 IRF PPS
proposed rule will be the number of
reviewers of this proposed rule. We
acknowledge that this assumption may
understate or overstate the costs of
reviewing this proposed rule. It is
possible that not all commenters
reviewed the FY 2018 IRF PPS proposed
rule in detail, and it is also possible that
some reviewers chose not to comment
on the proposed rule. For these reasons
we thought that the number of past
commenters would be a fair estimate of
the number of reviewers of this rule. We
welcome any comments on the
approach in estimating the number of
entities which will review this proposed
rule.
We also recognize that different types
of entities are in many cases affected by
mutually exclusive sections of this
proposed rule, and therefore for the
purposes of our estimate we assume that
each reviewer reads approximately 50
percent of the rule. We seek comments
on this assumption.
Using the wage information from the
BLS for medical and health service
managers (Code 11–9111), we estimate
that the cost of reviewing this rule is
$105.16 per hour, including overhead
and fringe benefits https://www.bls.gov/
oes/current/oes_nat.htm. Assuming an
average reading speed, we estimate that
it would take approximately 2 hours for
the staff to review half of this proposed
rule. For each IRF that reviews the rule,
the estimated cost is $210.32 (2 hours ×
$105.16). Therefore, we estimate that
the total cost of reviewing this
regulation is $15,984.32 ($210.32 × 76
reviewers).
F. Accounting Statement and Table
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 15, we have prepared an
accounting statement showing the
classification of the expenditures
associated with the provisions of this
proposed rule. Table 15 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
1,124 IRFs in our database. In addition,
Table 15 presents the costs associated
with the proposed new IRF quality
reporting program requirements for FY
2019.
TABLE 15—ACCOUNTING STATEMENT: CLASSIFICATION OF ESTIMATED EXPENDITURE
Change in estimated transfers from FY 2018 IRF PPS to FY 2019 IRF PPS
Category
Transfers
Annualized Monetized Transfers ...................................................................................................
From Whom to Whom? .................................................................................................................
$75 million.
Federal Government to IRF Medicare Providers.
Change in Estimated Costs
Category
Costs
Annualized monetized cost in FY 2019 for IRFs due to the removal of certain IRF coverage
requirements.
Annualized monetized cost in FY 2020 for IRFs due to the removal of FIMTM instrument and
associated Function Modifiers from the IRF–PAI.
Annualized monetized cost in FY 2019 for IRFs due to new quality reporting program requirements.
sradovich on DSK3GMQ082PROD with PROPOSALS3
G. Conclusion
Overall, the estimated payments per
discharge for IRFs in FY 2019 are
projected to increase by 0.9 percent,
compared with the estimated payments
in FY 2018, as reflected in column 7 of
Table 15.
IRF payments per discharge are
estimated to increase by 1.0 percent in
urban areas and 0.7 percent in rural
areas, compared with estimated FY 2018
payments. Payments per discharge to
rehabilitation units are estimated to
increase 0.7 percent in urban areas and
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19:45 May 07, 2018
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0.6 percent in rural areas. Payments per
discharge to freestanding rehabilitation
hospitals are estimated to increase 1.2
percent in urban areas and increase 1.5
percent in rural areas.
Overall, IRFs are estimated to
experience a net increase in payments
as a result of the proposed policies in
this proposed rule. The largest payment
increase is estimated to be a 2.8 percent
increase for rural IRFs located in the
New England region. The analysis
above, together with the remainder of
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Sfmt 4702
Reduction of $40.5 million.
Reduction of $10.2 million.
Reduction of $2.4 million.
this preamble, provides a Regulatory
Impact Analysis.
In accordance with the provisions of
Executive Order 12866, this regulation
was reviewed by the Office of
Management and Budget.
List of Subjects in 42 CFR Part 412
Administrative practice and
procedure, Health facilities, Medicare,
Puerto Rico, Reporting and
recordkeeping requirements.
For the reasons set forth in the
preamble, the Department of Health and
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Federal Register / Vol. 83, No. 89 / Tuesday, May 8, 2018 / Proposed Rules
Human Services proposes to amend 42
CFR chapter IV as set forth below:
PART 412—PROSPECTIVE PAYMENT
SYSTEMS FOR INPATIENT HOSPITAL
SERVICES
1. The authority citation for part 412
continues to read as follows:
■
Authority: Secs. 1102 and 1871 of the
Social Security Act (42 U.S.C. 1302 and
1395hh); sec. 124 of Pub. L. 106–113 (113
Stat. 1501A–332); sec. 1206 of Pub. L. 113–
67; sec. 112 of Pub. L. 113–93; sec. 231 of
Pub. L. 114–113; and secs. 15004, 15006,
15007, 15008, 15009, and 15010 of Pub. L.
114–255.
§ 412.606
[Amended]
2. Section 412.606 is amended by—
a. Removing paragraph (a); and
b. Redesignating paragraphs (b) and
(c) as paragraphs (a) and (b).
■ 3. Section 412.622 is amended by—
■ a. Revising paragraph (a)(3)(iv);
■ b. Redesignating paragraphs (a)(5)(A)
through (C) as paragraphs (a)(5)(i)
through (iii); and
■ c. Revising newly redesignated
paragraph (a)(5)(i).
The revisions read as follows:
■
■
■
sradovich on DSK3GMQ082PROD with PROPOSALS3
§ 412.622
Basis of payment.
(a) * * *
(3) * * *
(iv) Requires physician supervision by
a rehabilitation physician, defined as a
licensed physician with specialized
training and experience in inpatient
rehabilitation. The requirement for
medical supervision means that the
rehabilitation physician must conduct
face-to-face visits with the patient at
least 3 days per week throughout the
patient’s stay in the IRF to assess the
patient both medically and functionally,
as well as to modify the course of
treatment as needed to maximize the
patient’s capacity to benefit from the
rehabilitation process. The postadmission physician evaluation
described in paragraph (a)(4)(ii) of this
section may count as one of the face-toface visits.
*
*
*
*
*
(5) * * *
(i) The team meetings are led by a
rehabilitation physician as defined in
paragraph (a)(3)(iv) of this section, and
further consist of a registered nurse with
specialized training or experience in
rehabilitation; a social worker or case
manager (or both); and a licensed or
certified therapist from each therapy
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19:45 May 07, 2018
Jkt 244001
discipline involved in treating the
patient. All team members must have
current knowledge of the patient’s
medical and functional status. The
rehabilitation physician may lead the
interdisciplinary team meeting remotely
via a mode of communication such as
video or telephone conferencing.
*
*
*
*
*
■ 4. Section 412.624 is amended by
revising paragraph (c)(4)(i) and adding
paragraph (c)(4)(iii) to read as follows:
§ 412.624 Methodology for calculating the
Federal prospective payment rates.
*
*
*
*
*
(c) * * *
(4) * * *
(i) In the case of an IRF that is paid
under the prospective payment system
specified in § 412.1(a)(3) of this part that
does not submit quality data to CMS in
accordance with § 412.634, the
applicable increase factor specified in
paragraph (a)(3) of this section, after
application of paragraphs (C)(iii) and (D)
of section 1886(j)(3) of the Act, is
reduced by 2 percentage points.
*
*
*
*
*
(iii) The 2 percentage point reduction
described in paragraph (c)(4)(i) of this
section may result in the applicable
increase factor specified in paragraph
(a)(3) of this section being less than 0.0
for a fiscal year, and may result in
payment rates under the prospective
payment system specified in
§ 412.1(a)(3) of this part for a fiscal year
being less than such payment rates for
the preceding fiscal year.
*
*
*
*
*
■ 5. Section 412.634 is amended by
revising the paragraph (b) subject
heading and paragraphs (b)(1) and (2)
and (d)(1) and (5) to read as follows:
§ 412.634 Requirements under the
Inpatient Rehabilitation Facility (IRF) Quality
Reporting Program (QRP).
*
*
*
*
*
(b) Submission requirements. (1) IRFs
must submit to CMS data on measures
specified under sections 1886(j)(7)(D),
1899B(c)(1), 1899B(d)(1) of the Act, and
standardized patient assessment data
required under section 1899B(b)(1) of
the Act, as applicable. Such data must
be submitted in the form and manner,
and at a time, specified by CMS.
(2) CMS may remove a quality
measure from the IRF QRP based on one
or more of the following factors:
(i) Measure performance among IRFs
is so high and unvarying that
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21015
meaningful distinctions in
improvements in performance can no
longer be made;
(ii) Performance or improvement on a
measure does not result in better patient
outcomes;
(iii) The measure does not align with
current clinical guidelines or practice;
(iv) A more broadly applicable
measure (across settings, populations, or
conditions) for the particular topic is
available;
(v) A measure that is more proximal
in time to desired patient outcomes for
the particular topic is available;
(vi) A measure that is more strongly
associated with desired patient
outcomes for the particular topic is
available;
(vii) The collection or public
reporting of the measure leads to
negative unintended consequences
other than patient harm;
(viii) The costs associated with the
measure outweigh the benefit of its
continued use in the IRF QRP.
*
*
*
*
*
(d) * * *
(1) IRFs that do not meet the
requirement in paragraph (b) of this
section for a program year will receive
a written notification of non-compliance
through at least one of the following
methods: Quality Improvement and
Evaluation System Assessment
Submission and Processing (QIES
ASAP) system, the United States Postal
Service, or via an email from the
Medicare Administrative Contractor
(MAC).
*
*
*
*
*
(5) CMS will notify IRFs, in writing,
of its final decision regarding any
reconsideration request through at least
one of the following methods: QIES
ASAP system, the United States Postal
Service, or via an email from the
Medicare Administrative Contractor
(MAC).
*
*
*
*
*
Dated: April 18, 2018.
Seema Verma,
Administrator, Centers for Medicare &
Medicaid Services.
Dated: April 20, 2018.
Alex M. Azar II,
Secretary, Department of Health and Human
Services.
[FR Doc. 2018–08961 Filed 4–27–18; 4:15 pm]
BILLING CODE 4120–01–P
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Agencies
[Federal Register Volume 83, Number 89 (Tuesday, May 8, 2018)]
[Proposed Rules]
[Pages 20972-21015]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 2018-08961]
[[Page 20971]]
Vol. 83
Tuesday,
No. 89
May 8, 2018
Part III
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 2019; Proposed Rule
Federal Register / Vol. 83 , No. 89 / Tuesday, May 8, 2018 / Proposed
Rules
[[Page 20972]]
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DEPARTMENT OF HEALTH AND HUMAN SERVICES
Centers for Medicare & Medicaid Services
42 CFR Part 412
[CMS-1688-P]
RIN 0938-AT25
Medicare Program; Inpatient Rehabilitation Facility Prospective
Payment System for Federal Fiscal Year 2019
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) 2019. As required by the Social Security Act (the Act), this
proposed rule includes the classification and weighting factors for the
IRF prospective payment system's (PPS) case-mix groups and a
description of the methodologies and data used in computing the
prospective payment rates for FY 2019. We are also proposing to
alleviate administrative burden for IRFs by removing the Functional
Independence Measure (FIMTM) instrument and associated
Function Modifiers from the IRF Patient Assessment Instrument (IRF-PAI)
and revising certain IRF coverage requirements to reduce the amount of
required paperwork in the IRF setting. In addition, we are soliciting
comments on removing the face-to-face requirement for rehabilitation
physician visits and expanding the use of non-physician practitioners
(that is, nurse practitioners and physician assistants) in meeting the
IRF coverage requirements. For the IRF Quality Reporting Program (QRP),
we are proposing to adopt a new measure removal factor, remove two
measures from the IRF QRP measure set, and codify in our regulations a
number of requirements.
DATES: To be assured consideration, comments must be received at one of
the addresses provided below, not later than 5 p.m. on June 26, 2018.
ADDRESSES: In commenting, please refer to file code CMS-1688-P. Because
of staff and resource limitations, we cannot accept comments by
facsimile (FAX) transmission.
Comments, including mass comment submissions, must be submitted in
one of the following three 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-1688-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-1688-P, Mail
Stop C4-26-05, 7500 Security Boulevard, Baltimore, MD 21244-1850.
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.
Catie Kraemer, (410) 786-0179, for information about the proposed
payment policies and payment rates.
Kadie Derby, (410) 786-0468, for information about the IRF coverage
policies.
Christine Grose, (410) 786-1362, for information about the quality
reporting program.
SUPPLEMENTARY INFORMATION:
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 as soon as possible
after they have been received at https://www.regulations.gov. Follow the
search instructions on that website to view public comments.
The IRF PPS Addenda along with other supporting documents and
tables referenced in this proposed rule are available through the
internet on the CMS website at https://www.cms.hhs.gov/Medicare/Medicare-Fee-for-Service-Payment/InpatientRehabFacPPS/.
To assist readers in referencing sections contained in this
document, we are providing the following Table of Contents.
Table of Contents
Executive Summary
A. Purpose
B. Summary of Major Provisions
C. Summary of Impacts
D. Improving Patient Outcomes and Reducing Burden Through
Meaningful Measures
I. Background
A. Historical Overview of the IRF PPS
B. Provisions of the PPACA Affecting the IRF PPS in FY 2012 and
Beyond
C. Operational Overview of the Current IRF PPS
D. Advancing Health Information Exchange
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 2019
IV. Facility-Level Adjustment Factors
V. Proposed FY 2019 IRF PPS Payment Update
A. Background
B. Proposed FY 2019 Market Basket Update and Productivity
Adjustment
C. Proposed Labor-Related Share for FY 2019
D. Proposed Wage Adjustment for FY 2019
E. Description of the Proposed IRF Standard Payment Conversion
Factor and Payment Rates for FY 2019
F. Example of the Methodology for Adjusting the Proposed
Prospective Payment Rates
VI. Proposed Update to Payments for High-Cost Outliers Under the IRF
PPS for FY 2019
A. Proposed Update to the Outlier Threshold Amount for FY 2019
B. Proposed Update to the IRF Cost-to-Charge Ratio Ceiling and
Urban/Rural Averages for FY 2019
VII. Proposed Removal of the FIMTM Instrument and
Associated Function Modifiers From the IRF-PAI Beginning With FY
2020 and Proposed Refinements to the Case-Mix Classification System
Beginning With FY 2020
A. Proposed Removal of the FIMTM Instrument and
Associated Function Modifiers From the IRF-PAI Beginning With FY
2020
B. Proposed Refinements to the Case-Mix Classification System
Beginning With FY 2020
VIII. Proposed Revisions to Certain IRF Coverage Requirements
Beginning With FY 2019
A. Proposed Changes to the Physician Supervision Requirement
Beginning With FY 2019
B. Proposed Changes to the Interdisciplinary Team Meeting
Requirement Beginning With FY 2019
C. Proposed Changes to the Admission Order Documentation
Requirement Beginning With FY 2019
D. Solicitation of Comments Regarding Additional Changes to the
Physician Supervision Requirement
E. Solicitation of Comments Regarding Changes to the Use of Non-
Physician Practitioners in Meeting the Requirements Under Sec.
412.622(a)(3), (4), and (5)
IX. Proposed Revisions and Updates to the IRF Quality Reporting
Program (QRP)
A. Background
B. General Considerations Used for Selection of Measures for the
IRF QRP
[[Page 20973]]
C. Proposed New Removal Factor for Previously Adopted IRF QRP
Measures
D. Quality Measures Currently Adopted for the FY 2020 IRF QRP
E. Proposed Removal of Two IRF QRP Measures
F. IMPACT Act Implementation Update
G. Form, Manner, and Timing of Data Submission Under the IRF QRP
H. Proposed Changes to Reconsiderations Requirements Under the
IRF QRP
I. Proposed Policies Regarding Public Display of Measure Data
for the IRF QRP
J. Method for Applying the Reduction to the FY 2019 IRF Increase
Factor for IRFs That Fail To Meet the Quality Reporting Requirements
X. Request for Information on Promoting Interoperability and
Electronic Healthcare Information Exchange Through Possible
Revisions to the CMS Patient Health and Safety Requirements for
Hospitals and Other Medicare- and Medicaid-Participating Providers
and Suppliers
XI. Collection of Information Requirements
A. Statutory Requirement for Solicitation of Comments
B. Collection of Information Requirements for Updates Related to
the IRF PPS
C. Collection of Information Requirements for Updates Related to
the IRF QRP
XII. Response to Public Comments
XIII. Regulatory Impact Analysis
A. Statement of Need
B. Overall Impacts
C. Anticipated Effects
D. Alternatives Considered
E. Regulatory Review Costs
F. Accounting Statement and Table
G. Conclusion
Regulatory Text
Executive Summary
A. Purpose
This proposed rule would update the prospective payment rates for
IRFs for FY 2019 (that is, for discharges occurring on or after October
1, 2018, and on or before September 30, 2019) as required under section
1886(j)(3)(C) of the Act. As required by section 1886(j)(5) of the Act,
this rule includes the classification and weighting factors for the IRF
PPS's case-mix groups and a description of the methodologies and data
used in computing the prospective payment rates for FY 2019. In
addition, this proposed rule would reduce the regulatory burden for
IRFs by removing data items from the IRF-PAI and revising certain IRF
coverage and paperwork requirements. In addition, this proposed rule
solicits comments regarding removing the face-to-face requirement for
rehabilitation physician visits and expanding the use of non-physician
practitioners (that is, nurse practitioners and physician assistants)
in meeting the IRF coverage requirements. We are also proposing to
update the requirements for the IRF QRP, including adding a new quality
measure removal factor, removing two measures from the measure set, and
codifying in our regulations a number of requirements.
B. Summary of Major Provisions
In this proposed rule, we use the methods described in the FY 2018
IRF PPS final rule (82 FR 36238) to update the prospective payment
rates for FY 2019 using updated FY 2017 IRF claims and the most recent
available IRF cost report data, which is FY 2016 IRF cost report data.
(Note: In the interest of brevity, the rates previously referred to as
the ``Federal prospective payment rates'' are now referred to as the
``prospective payment rates''. No change in meaning is intended.) We
are also proposing to alleviate administrative burden for IRFs by
removing the FIMTM instrument and associated Function
Modifiers from the IRF-PAI and revising certain IRF coverage
requirements to reduce the amount of required paperwork in the IRF
setting. In addition, we are soliciting comments on removing the face-
to-face requirement for rehabilitation physician visits and expanding
the use of non-physician practitioners (that is, nurse practitioners
and physician assistants) in meeting the IRF coverage requirements. We
are also proposing to update requirements for the IRF QRP.
C. Summary of Impacts
------------------------------------------------------------------------
Provision description Transfers
------------------------------------------------------------------------
FY 2019 IRF PPS payment rate The overall economic impact of this
update. proposed rule is an estimated $75
million in increased payments from
the Federal government to IRFs
during FY 2019.
------------------------------------------------------------------------
Provision description Costs
------------------------------------------------------------------------
Removal of FIMTM Items from IRF- The total reduction in costs in FY
PAI. 2020 for IRFs as a result of the
removal of the FIMTM instrument and
associated Function Modifiers from
the IRF-PAI is estimated to be
$10.2 million.
Removal of certain IRF coverage The total reduction in costs in FY
requirements. 2019 for IRFs as a result of the
removal of certain IRF coverage
requirements is estimated to be
$40.5 million.
New IRF QRP requirements.......... The total reduction in costs in FY
2019 for IRFs as a result of the
new quality reporting requirements
is estimated to be $2.4 million.
------------------------------------------------------------------------
D. Improving Patient Outcomes and Reducing Burden Through Meaningful
Measures
Regulatory reform and reducing regulatory burden are high
priorities for CMS. To reduce the regulatory burden on the healthcare
industry, lower health care costs, and enhance patient care, in October
2017, we launched the Meaningful Measures Initiative.\1\ This
initiative is one component of our agency-wide Patients Over Paperwork
Initiative,\2\ which is aimed at evaluating and streamlining
regulations with a goal to reduce unnecessary cost and burden, increase
efficiencies, and improve beneficiary experience. The Meaningful
Measures Initiative is aimed at identifying the highest priority areas
for quality measurement and quality improvement in order to assess the
core quality of care issues that are most vital to advancing our work
to improve patient outcomes. The Meaningful Measures Initiative
represents a new approach to quality measures that fosters operational
efficiencies, and will reduce costs, including collection and reporting
burden while producing quality measurement that is more focused on
meaningful outcomes.
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\1\ Meaningful Measures web page: https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/QualityInitiativesGenInfo/MMF/General-info-Sub-Page.html.
\2\ See Remarks by Administrator Seema Verma at the Health Care
Payment Learning and Action Network (LAN) Fall Summit, as prepared
for delivery on October 30, 2017 https://www.cms.gov/Newsroom/MediaReleaseDatabase/Fact-sheets/2017-Fact-Sheet-items/2017-10-30.html.
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The Meaningful Measures Framework has the following objectives:
Address high-impact measure areas that safeguard public
health;
Patient-centered and meaningful to patients;
Outcome-based where possible;
Fulfill each program's statutory requirements;
Minimize the level of burden for health care providers
(for example,
[[Page 20974]]
through a preference for EHR-based measures where possible, such as
electronic clinical quality measures);
Significant opportunity for improvement;
Address measure needs for population based payment through
alternative payment models; and
Align across programs and/or with other payers.
In order to achieve these objectives, we have identified 19
Meaningful Measures areas and mapped them to six overarching quality
priorities as shown in the Table 1:
Table 1--Meaningful Measures Framework Domains and Measure Areas
------------------------------------------------------------------------
Quality priority Meaningful measure area
------------------------------------------------------------------------
Making Care Safer by Reducing Harm Healthcare-Associated
Caused in the Delivery of Care. Infections.
Preventable Healthcare Harm.
Strengthen Person and Family Engagement Care is Personalized and
as Partners in Their Care. Aligned with Patient's Goals.
End of Life Care according to
Preferences.
Patient's Experience of Care.
Patient Reported Functional
Outcomes.
Promote Effective Communication and Medication Management.
Coordination of Care. Admissions and Readmissions to
Hospitals.
Transfer of Health Information
and Interoperability.
Promote Effective Prevention and Preventive Care.
Treatment of Chronic Disease. Management of Chronic
Conditions.
Prevention, Treatment, and
Management of Mental Health.
Prevention and Treatment of
Opioid and Substance Use
Disorders.
Risk Adjusted Mortality.
Work with Communities to Promote Best Equity of Care.
Practices of Healthy Living. Community Engagement.
Make Care Affordable................... Appropriate Use of Healthcare.
Patient-focused Episode of
Care.
Risk Adjusted Total Cost of
Care.
------------------------------------------------------------------------
By including Meaningful Measures in our programs, we believe that
we can also address the following cross-cutting measure criteria:
Eliminating disparities;
Tracking measurable outcomes and impact;
Safeguarding public health;
Achieving cost savings;
Improving access for rural communities; and
Reducing burden.
We believe that the Meaningful Measures Initiative will improve
outcomes for patients, their families, and health care providers while
reducing burden and costs for clinicians and providers as well as
promoting operational efficiencies.
I. Background
A. Historical Overview of the 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 a
general description of the IRF PPS for FYs 2002 through 2018.
Under the IRF PPS from FY 2002 through FY 2005, the prospective
payment rates were computed across 100 distinct case-mix groups (CMGs),
as described in the FY 2002 IRF PPS final rule (66 FR 41316). 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 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 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
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now consist of 100 percent of the federal IRF PPS rate.
We established a CMS website as a primary information resource for
the IRF PPS which is available at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/InpatientRehabFacPPS/. The website
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 was a
market basket reflecting the operating and capital cost structures for
freestanding IRFs, freestanding inpatient psychiatric facilities
(IPFs), and long-term care hospitals (LTCHs) (hereinafter 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
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 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 prospective payment
rates for each FY. Based on the legislative change to the increase
factor, we revised the FY 2008 prospective payment rates for IRF
discharges occurring on or after April 1, 2008. Thus, the final FY 2008
IRF 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 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 prospective payment rates are
available on the CMS website 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 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 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) (formerly called 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 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, hereinafter referred to as ``PPACA''), 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
multifactor productivity (MFP) 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 PPACA, 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,
[[Page 20976]]
2010. Thus, the final FY 2010 IRF 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 1, 2009, and on or before
March 31, 2010, and the adjusted FY 2010 IRF prospective payment rates
applied to discharges occurring on or after April 1, 2010, and on or
before September 30, 2010. The adjusted FY 2010 prospective payment
rates are available on the CMS website 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
2010 and FY 2011 IRF PPS 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
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
prospective payment rates, rebased and revised the RPL market basket,
and established a new quality reporting program (QRP) for IRFs in
accordance with section 1886(j)(7) of the Act. We also consolidated,
clarified, and revised existing policies regarding IRF hospitals and
IRF units of hospitals to eliminate unnecessary confusion and enhance
consistency. 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 prospective payment rates.
The FY 2013 IRF PPS notice (77 FR 44618) described the required
adjustments to the FY 2013 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
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
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 updated requirements for the IRF QRP. 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 prospective payment rates.
In the FY 2015 IRF PPS final rule (79 FR 45872), we updated the
prospective payment rates, the CMG relative weights, and the outlier
threshold amount. We also 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 IRF-PAI,
and updated requirements for the IRF QRP. For more information on the
policy changes implemented for FY 2015, please refer to the FY 2015 IRF
PPS final rule (79 FR 45872) and the FY 2015 IRF PPS correction notice
(79 FR 59121).
In the FY 2016 IRF PPS final rule (80 FR 47036), we updated the
prospective payment rates, the CMG relative weights, and the outlier
threshold amount. We also adopted an IRF-specific market basket that
reflects the cost structures of only IRF providers, a blended 1-year
transition wage index based on the adoption of new OMB area
delineations, a 3-year phase-out of the rural adjustment for certain
IRFs due to the new OMB area delineations, and updates for the IRF QRP.
For more information on the policy changes implemented for FY 2016,
please refer to the FY 2016 IRF PPS final rule (80 FR 47036).
In the FY 2017 IRF PPS final rule (81 FR 52056), we updated the
prospective payment rates, the CMG relative weights, and the outlier
threshold amount. We also updated requirements for the IRF QRP. For
more information on the policy changes implemented for FY 2017, please
refer to the FY 2017 IRF PPS final rule (81 FR 52056) and the FY 2017
IRF PPS correction notice (81 FR 59901).
In the FY 2018 IRF PPS final rule (82 FR 36238), we updated the
prospective payment rates, the CMG relative weights, and the outlier
threshold amount. We also revised the International Classification of
Diseases, 10th Revision, Clinical Modification (ICD-10-CM) diagnosis
codes that are used to determine presumptive compliance under the ``60
percent rule,'' removed the 25 percent payment penalty for IRF-PAI late
transmissions, removed the voluntary swallowing status item (Item 27)
from the IRF-PAI, summarized comments regarding the criteria used to
classify facilities for payment under the IRF PPS, provided for a
subregulatory process for certain annual updates to the presumptive
methodology diagnosis code lists, adopted the use of height/weight
items on the IRF-PAI to determine patient body mass index (BMI) greater
than 50 for cases of single-joint replacement under the presumptive
methodology, and updated requirements for the IRF QRP. For more
information on the policy changes implemented for FY 2018, please refer
to the FY 2018 IRF PPS final rule (82 FR 36238).
B. Provisions of the PPACA Affecting the IRF PPS in FY 2012 and Beyond
The PPACA included several provisions that affect the IRF PPS in
FYs 2012 and beyond. In addition to what
[[Page 20977]]
was previously discussed, section 3401(d) of the PPACA also added
section 1886(j)(3)(C)(ii)(I) of the Act (providing for a ``productivity
adjustment'' for fiscal year 2012 and each subsequent fiscal year). The
productivity adjustment for FY 2019 is discussed in section V.B. of
this proposed rule. Section 3401(d) of the PPACA requires an additional
0.75 percentage point adjustment to the IRF increase factor for each of
FYs 2017, 2018, and 2019. The applicable adjustment for FY 2019 is
discussed in section V.B. of this proposed rule. Section
1886(j)(3)(C)(ii)(II) of the Act provides 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.
Sections 3004(b) of the PPACA and section 411(b) of the Medicare
Access and CHIP Reauthorization Act of 2015 (Pub. L. 114-10, enacted on
April 16, 2015) (MACRA) also addressed the IRF PPS. Section 3004(b) of
PPACA 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 QRP for IRFs.
Under that program, data must be submitted in a form and manner and at
a time specified by the Secretary. Section 411(b) of MACRA amended
section 1886(j)(3)(C) of the Act by adding clause (iii), which required
us to apply for FY 2018, after the application of section
1886(j)(3)(C)(ii) of the Act, an increase factor of 1.0 percent to
update the IRF prospective payment rates. Beginning in FY 2014, section
1886(j)(7)(A)(i) of the Act requires the application of a 2 percentage
point reduction to the market basket increase factor otherwise
applicable to an IRF (after application of subparagraphs (C)(iii) and
(D) of section 1886(j)(3) of the Act) for a fiscal year if the IRF does
not comply with the requirements of the IRF QRP for that fiscal year.
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
are not cumulative; they only apply for the FY involved.
C. Operational Overview of the Current IRF PPS
As described in the FY 2002 IRF PPS final rule (66 FR 41316), upon
the admission and discharge of a Medicare Part A Fee-for-Service (FFS)
patient, the IRF is required to complete the appropriate sections of a
patient assessment instrument (PAI), designated as the 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
Advantage (MA) patient, as described in the FY 2010 IRF PPS final rule
(74 FR 39762 and 74 FR 50712). 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 five-character CMG number. The
first character is an alphabetic character that indicates the
comorbidity tier. The last four 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 website at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/InpatientRehabFacPPS/Software.html.
Once a Medicare Part A FFS 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 MA patient is
discharged, in accordance with the Medicare Claims Processing Manual,
chapter 3, section 20.3 (Pub. L. 100-04), hospitals (including IRFs)
must submit an informational-only bill (Type of Bill (TOB) 111), which
includes Condition Code 04 to their MAC. This will ensure that the MA
days are included in the hospital's Supplemental Security Income (SSI)
ratio (used in calculating the IRF LIP adjustment) for fiscal year 2007
and beyond. Claims submitted to Medicare must comply with both ASCA and
HIPAA.
Section 3 of the ASCA amended 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).
D. Advancing Health Information Exchange
The Department of Health and Human Services (HHS) has a number of
initiatives designed to encourage and
[[Page 20978]]
support the adoption of interoperable health information technology and
to promote nationwide health information exchange to improve health
care. The Office of the National Coordinator for Health Information
Technology (ONC) and CMS work collaboratively to advance
interoperability across settings of care, including post-acute care.
The Improving Medicare Post-Acute Care Transformation Act of 2014
(Pub. L. 113-185) (IMPACT Act) requires assessment data to be
standardized and interoperable to allow for exchange of the data among
post-acute providers and other providers. To further interoperability
in post-acute care, CMS is developing a Data Element Library to serve
as a publically available centralized, authoritative resource for
standardized data elements and their associated mappings to health IT
standards. These interoperable data elements can reduce provider burden
by supporting the use and reuse of healthcare data, support provider
exchange of electronic health information for care coordination,
person-centered care, and support real-time, data driven, clinical
decision making. Once available, standards in the Data Element Library
can be referenced on the CMS website and in the ONC Interoperability
Standards Advisory (ISA). The 2018 Interoperability Standards Advisory
(ISA) is available at: https://www.healthit.gov/isa/.
Most recently, the 21st Century Cures Act (Pub. L. 114-255),
enacted in 2016, requires HHS to take new steps to enable the
electronic sharing of health information ensuring interoperability for
providers and settings across the care continuum. Specifically,
Congress directed ONC to ``develop or support a trusted exchange
framework, including a common agreement among health information
networks nationally.'' This framework (https://beta.healthit.gov/topic/interoperability/trusted-exchange-framework-and-common-agreement)
outlines a common set of principles for trusted exchange and minimum
terms and conditions for trusted exchange in order to enable
interoperability across disparate health information networks. In
another important provision, Congress defined ``information blocking''
as practices likely to interfere with, prevent, or materially
discourage access, exchange, or use of electronic health information,
and established new authority for HHS to discourage these practices. We
invite providers to learn more about these important developments and
how they are likely to affect IRFs.
II. Summary of Provisions of the Proposed Rule
In this rule, we propose to update the IRF prospective payment
rates for FY 2019 and to alleviate administrative burden for IRFs by
removing the FIMTM instrument and associated Function
Modifiers from the IRF-PAI in accordance with section 1886(j)(2)(D) of
the Act and revising certain IRF coverage requirements to reduce the
amount of required paperwork in the IRF setting. In addition, we are
soliciting comments on removing the face-to-face requirement for
rehabilitation physician visits and expanding the use of non-physician
practitioners (that is, nurse practitioners and physician assistants)
in meeting the IRF coverage requirements. For the IRF QRP, we are
proposing to add a new quality measure removal factor, remove two
quality measures from the measure set, and codify in our regulations a
number of requirements.
The proposed updates to the IRF prospective payment rates for FY
2019 are as follows:
Update the IRF PPS relative weights and average length of
stay values for FY 2019 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.
Describe the continued use of FY 2014 facility-level
adjustment factors, as discussed in section IV. of this proposed rule.
Update the IRF PPS payment rates for FY 2019 by the
proposed market basket increase factor, based upon the most current
data available, with a 0.75 percentage point reduction as required by
sections 1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(v) 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.
Update the FY 2019 IRF PPS payment rates by the FY 2019
wage index and the labor-related share in a budget-neutral manner, as
discussed in section V. of this proposed rule.
Describe the calculation of the IRF standard payment
conversion factor for FY 2019, as discussed in section V. of this
proposed rule.
Update the outlier threshold amount for FY 2019, as
discussed in section VI. of this proposed rule.
Update the cost-to-charge ratio (CCR) ceiling and urban/
rural average CCRs for FY 2019, as discussed in section VI. of this
proposed rule.
Remove the FIM TM instrument and associated
Function Modifiers from the IRF-PAI beginning with FY 2020 to reduce
administrative burden for IRFs, as discussed in section VII. of this
proposed rule.
Revise certain IRF coverage requirements to reduce
administrative burden for IRFs beginning with FY 2019, as discussed in
section VIII. of this proposed rule.
Solicit comments on removing the face-to-face requirement
for rehabilitation physician visits, as discussed in section VIII. of
this proposed rule.
Solicit comments on expanding the use of non-physician
practitioners (that is, nurse practitioners and physician assistants)
in meeting the IRF coverage requirements, as discussed in section VIII.
of this proposed rule.
Update the requirements for the IRF QRP, as discussed in
section IX. of this proposed rule.
III. Proposed Update to the Case-Mix Group (CMG) Relative Weights and
Average Length of Stay Values for FY 2019
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 2019. 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 2019, we propose
to use the FY 2017 IRF claims and FY 2016 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 2017 IRF cost report data are
available for analysis, but the majority of the FY 2017 IRF claims data
are available for analysis.
In this 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 CCR data from the
cost reports of IRF subprovider units of primary acute care
[[Page 20979]]
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 2019 CMG relative weights to the same
average CMG relative weight from the CMG relative weights implemented
in the FY 2018 IRF PPS final rule (82 FR 36238).
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 2019 in such a way that total
estimated aggregate payments to IRFs for FY 2019 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
2019 CMG relative weights, we use the following steps:
Step 1. Calculate the estimated total amount of IRF PPS payments
for FY 2019 (with no changes to the CMG relative weights).
Step 2. Calculate the estimated total amount of IRF PPS payments
for FY 2019 by applying the changes to the CMG relative weights (as
discussed in this proposed rule).
Step 3. Divide the amount calculated in step 1 by the amount
calculated in step 2 to determine the budget neutrality factor (0.9980)
that would maintain the same total estimated aggregate payments in FY
2019 with and without the changes to the CMG relative weights.
Step 4. Apply the budget neutrality factor (0.9980) to the FY 2018
IRF PPS standard payment amount after the application of the budget-
neutral wage adjustment factor.
In section V.E. of this proposed rule, we discuss the proposed use
of the existing methodology to calculate the standard payment
conversion factor for FY 2019.
In Table 2, ``Proposed Relative Weights and Average Length of Stay
Values for Case-Mix Groups,'' we present the proposed CMGs, the
comorbidity tiers, the corresponding relative weights, and the average
length of stay values for each CMG and tier for FY 2019. 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 2--Proposed Relative Weights and Average Length of Stay Values for Case-Mix Groups
--------------------------------------------------------------------------------------------------------------------------------------------------------
Relative weight Average length of stay
-------------------------------------------------------------------------------------------------
CMG CMG Description (M=motor, No No
C=cognitive, A=age) Tier 1 Tier 2 Tier 3 comorbidities Tier 1 Tier 2 Tier 3 comorbidities
tier tier
--------------------------------------------------------------------------------------------------------------------------------------------------------
0101................... Stroke M>51.05............... 0.8486 0.7367 0.6761 0.6461 8 11 8 8
0102................... Stroke M>44.45 and M<51.05 1.0722 0.9308 0.8542 0.8164 11 12 10 10
and C>18.5.
0103................... Stroke M>44.45 and M<51.05 1.2409 1.0772 0.9886 0.9448 12 13 11 12
and C<18.5.
0104................... Stroke M>38.85 and M<44.45... 1.2952 1.1244 1.0319 0.9862 12 13 12 12
0105................... Stroke M>34.25 and M<38.85... 1.4885 1.2922 1.1859 1.1333 14 14 14 13
0106................... Stroke M>30.05 and M<34.25... 1.6651 1.4455 1.3266 1.2678 16 16 15 15
0107................... Stroke M>26.15 and M<30.05... 1.8665 1.6203 1.4871 1.4211 18 18 16 16
0108................... Stroke M<26.15 and A>84.5.... 2.3075 2.0031 1.8384 1.7569 22 21 20 20
0109................... Stroke M>22.35 and M<26.15 2.0873 1.8120 1.6630 1.5893 19 19 18 18
and A<84.5.
0110................... Stroke M<22.35 and A<84.5.... 2.7646 2.4000 2.2027 2.1049 26 26 23 23
0201................... Traumatic brain injury 0.8228 0.6676 0.5960 0.5565 9 9 8 7
M>53.35 and C>23.5.
0202................... Traumatic brain injury 1.1423 0.9270 0.8274 0.7726 10 11 10 10
M>44.25 and M<53.35 and
C>23.5.
0203................... Traumatic brain injury 1.2601 1.0225 0.9128 0.8523 13 13 11 10
M>44.25 and C<23.5.
0204................... Traumatic brain injury 1.3722 1.1135 0.9940 0.9281 13 13 11 11
M>40.65 and M<44.25.
0205................... Traumatic brain injury 1.6209 1.3153 1.1741 1.0963 14 15 13 13
M>28.75 and M<40.65.
0206................... Traumatic brain injury 1.9535 1.5852 1.4150 1.3212 18 18 15 15
M>22.05 and M<28.75.
0207................... Traumatic brain injury 2.4678 2.0025 1.7875 1.6691 31 22 19 18
M<22.05.
0301................... Non-traumatic brain injury 1.1740 0.9497 0.8712 0.8146 11 11 10 10
M>41.05.
0302................... Non-traumatic brain injury 1.4336 1.1597 1.0639 0.9948 12 13 12 12
M>35.05 and M<41.05.
0303................... Non-traumatic brain injury 1.6587 1.3419 1.2309 1.1510 15 14 13 13
M>26.15 and M<35.05.
0304................... Non-traumatic brain injury 2.1196 1.7147 1.5729 1.4708 20 19 16 16
M<26.15.
0401................... Traumatic spinal cord injury 1.0031 0.8112 0.7498 0.6853 10 10 9 9
M>48.45.
0402................... Traumatic spinal cord injury 1.4909 1.2056 1.1144 1.0186 14 13 13 12
M>30.35 and M<48.45.
0403................... Traumatic spinal cord injury 2.3615 1.9096 1.7650 1.6133 25 22 19 18
M>16.05 and M<30.35.
0404................... Traumatic spinal cord injury 4.0165 3.2479 3.0021 2.7440 45 36 31 30
M<16.05 and A>63.5.
0405................... Traumatic spinal cord injury 3.5422 2.8643 2.6476 2.4199 26 33 27 26
M<16.05 and A<63.5.
0501................... Non-traumatic spinal cord 0.9175 0.7147 0.6615 0.6076 9 10 8 8
injury M>51.35.
0502................... Non-traumatic spinal cord 1.2206 0.9508 0.8800 0.8083 11 11 10 10
injury M>40.15 and M<51.35.
0503................... Non-traumatic spinal cord 1.5123 1.1781 1.0903 1.0015 14 13 12 12
injury M>31.25 and M<40.15.
0504................... Non-traumatic spinal cord 1.7404 1.3557 1.2548 1.1526 16 14 14 13
injury M>29.25 and M<31.25.
0505................... Non-traumatic spinal cord 1.9922 1.5519 1.4363 1.3194 18 17 16 15
injury M>23.75 and M<29.25.
0506................... Non-traumatic spinal cord 2.6966 2.1006 1.9441 1.7858 26 23 21 20
injury M<23.75.
[[Page 20980]]
0601................... Neurological M>47.75......... 1.0727 0.8220 0.7615 0.6941 9 9 9 8
0602................... Neurological M>37.35 and 1.3940 1.0681 0.9896 0.9019 12 12 11 10
M<47.75.
0603................... Neurological M>25.85 and 1.7135 1.3130 1.2164 1.1087 14 14 13 13
M<37.35.
0604................... Neurological M<25.85......... 2.2159 1.6979 1.5730 1.4337 19 17 16 16
0701................... Fracture of lower extremity 1.0293 0.8388 0.7954 0.7177 10 10 9 9
M>42.15.
0702................... Fracture of lower extremity 1.3091 1.0668 1.0115 0.9128 12 12 12 11
M>34.15 and M<42.15.
0703................... Fracture of lower extremity 1.5608 1.2720 1.2061 1.0883 15 14 14 13
M>28.15 and M<34.15.
0704................... Fracture of lower extremity 1.9933 1.6244 1.5402 1.3899 18 18 17 16
M<28.15.
0801................... Replacement of lower 0.8362 0.6820 0.6159 0.5727 8 8 8 7
extremity joint M>49.55.
0802................... Replacement of lower 1.0782 0.8793 0.7941 0.7384 11 9 9 9
extremity joint M>37.05 and
M<49.55.
0803................... Replacement of lower 1.4172 1.1557 1.0438 0.9706 13 13 12 11
extremity joint M>28.65 and
M<37.05 and A>83.5.
0804................... Replacement of lower 1.2741 1.0390 0.9384 0.8726 12 12 11 10
extremity joint M>28.65 and
M<37.05 and A<83.5.
0805................... Replacement of lower 1.5185 1.2383 1.1184 1.0399 14 14 12 12
extremity joint M>22.05 and
M<28.65.
0806................... Replacement of lower 1.8736 1.5279 1.3800 1.2832 17 17 15 14
extremity joint M<22.05.
0901................... Other orthopedic M>44.75..... 1.0336 0.8091 0.7490 0.6903 11 10 9 8
0902................... Other orthopedic M>34.35 and 1.3077 1.0236 0.9476 0.8734 12 12 11 10
M<44.75.
0903................... Other orthopedic M>24.15 and 1.6323 1.2777 1.1828 1.0902 14 14 13 12
M<34.35.
0904................... Other orthopedic M<24.15..... 2.0449 1.6006 1.4818 1.3657 17 17 16 15
1001................... Amputation, lower extremity 1.0914 0.9202 0.8209 0.7566 11 10 10 9
M>47.65.
1002................... Amputation, lower extremity 1.3986 1.1792 1.0520 0.9696 13 13 12 12
M>36.25 and M<47.65.
1003................... Amputation, lower extremity 2.0249 1.7073 1.5231 1.4038 18 18 16 15
M<36.25.
1101................... Amputation, non-lower 1.3802 0.9958 0.9958 0.8947 12 11 11 11
extremity M>36.35.
1102................... Amputation, non-lower 1.9397 1.3995 1.3995 1.2574 17 14 15 13
extremity M<36.35.
1201................... Osteoarthritis M>37.65....... 1.1131 0.9558 0.8693 0.7900 11 10 10 9
1202................... Osteoarthritis M>30.75 and 1.4086 1.2096 1.1001 0.9998 13 13 12 12
M<37.65.
1203................... Osteoarthritis M<30.75....... 1.7059 1.4648 1.3323 1.2108 15 16 15 14
1301................... Rheumatoid, other arthritis 1.0974 0.9616 0.8870 0.8378 10 10 10 10
M>36.35.
1302................... Rheumatoid, other arthritis 1.4376 1.2598 1.1620 1.0976 12 13 13 13
M>26.15 and M<36.35.
1303................... Rheumatoid, other arthritis 1.7313 1.5171 1.3994 1.3218 14 17 15 15
M<26.15.
1401................... Cardiac M>48.85.............. 0.9240 0.7515 0.6781 0.6099 9 8 8 7
1402................... Cardiac M>38.55 and M<48.85.. 1.2392 1.0078 0.9093 0.8180 11 11 10 10
1403................... Cardiac M>31.15 and M<38.55.. 1.4776 1.2017 1.0843 0.9753 13 13 12 11
1404................... Cardiac M<31.15.............. 1.8592 1.5120 1.3643 1.2272 17 16 14 13
1501................... Pulmonary M>49.25............ 1.0096 0.8767 0.7953 0.7609 9 10 9 8
1502................... Pulmonary M>39.05 and M<49.25 1.2873 1.1178 1.0140 0.9702 11 11 10 11
1503................... Pulmonary M>29.15 and M<39.05 1.5272 1.3262 1.2030 1.1511 14 13 12 12
1504................... Pulmonary M<29.15............ 1.9278 1.6740 1.5186 1.4530 19 16 15 14
1601................... Pain syndrome M>37.15........ 1.2093 0.9269 0.8786 0.7937 9 11 10 10
1602................... Pain syndrome M>26.75 and 1.5344 1.1760 1.1148 1.0070 11 12 12 12
M<37.15.
1603................... Pain syndrome M<26.75........ 1.8652 1.4295 1.3551 1.2241 12 16 15 14
1701................... Major multiple trauma without 1.2867 0.9776 0.9126 0.8224 14 11 11 10
brain or spinal cord injury
M>39.25.
1702................... Major multiple trauma without 1.5500 1.1777 1.0993 0.9907 13 14 12 12
brain or spinal cord injury
M>31.05 and M<39.25.
1703................... Major multiple trauma without 1.8117 1.3765 1.2849 1.1580 15 15 14 13
brain or spinal cord injury
M>25.55 and M<31.05.
1704................... Major multiple trauma without 2.3035 1.7502 1.6337 1.4724 20 19 17 16
brain or spinal cord injury
M<25.55.
1801................... Major multiple trauma with 1.1210 1.0101 0.8484 0.7937 12 11 10 10
brain or spinal cord injury
M>40.85.
1802................... Major multiple trauma with 1.6611 1.4967 1.2572 1.1761 16 17 14 13
brain or spinal cord injury
M>23.05 and M<40.85.
1803................... Major multiple trauma with 2.5942 2.3375 1.9634 1.8368 30 25 20 20
brain or spinal cord injury
M<23.05.
1901................... Guillian Barre M>35.95....... 1.4128 1.0101 0.9494 0.9109 15 13 11 11
1902................... Guillian Barre M>18.05 and 2.4873 1.7782 1.6714 1.6037 24 21 18 18
M<35.95.
1903................... Guillian Barre M<18.05....... 4.2909 3.0677 2.8833 2.7665 46 31 30 30
2001................... Miscellaneous M>49.15........ 0.9692 0.7714 0.7164 0.6501 9 9 8 8
2002................... Miscellaneous M>38.75 and 1.2596 1.0025 0.9311 0.8449 11 11 10 10
M<49.15.
2003................... Miscellaneous M>27.85 and 1.5478 1.2319 1.1442 1.0382 14 14 12 12
M<38.75.
2004................... Miscellaneous M<27.85........ 1.9731 1.5704 1.4585 1.3235 18 17 15 15
2101................... Burns M>0.................... 1.9150 1.5473 1.5040 1.3189 22 16 16 14
5001................... Short-stay cases, length of ......... ......... ......... 0.1601 ......... ......... ......... 2
stay is 3 days or fewer.
5101................... Expired, orthopedic, length ......... ......... ......... 0.7561 ......... ......... ......... 8
of stay is 13 days or fewer.
5102................... Expired, orthopedic, length ......... ......... ......... 1.6523 ......... ......... ......... 18
of stay is 14 days or more.
5103................... Expired, not orthopedic, ......... ......... ......... 0.8114 ......... ......... ......... 8
length of stay is 15 days or
fewer.
[[Page 20981]]
5104................... Expired, not orthopedic, ......... ......... ......... 2.1193 ......... ......... ......... 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 3
shows how we estimate that the application of the proposed revisions
for FY 2019 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 previously described),
total estimated aggregate payments to IRFs for FY 2019 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 3--Distributional Effects of the Proposed Changes to the CMG
Relative Weights
[FY 2018 values compared with FY 2019 values]
------------------------------------------------------------------------
Percentage change in CMG relative Number of Percentage of
weights cases affected cases affected
------------------------------------------------------------------------
Increased by 15% or more................ 19 0.0
Increased by between 5% and 15%......... 1,600 0.4
Changed by less than 5%................. 394,149 99.3
Decreased by between 5% and 15%......... 1,193 0.3
Decreased by 15% or more................ 74 0.0
------------------------------------------------------------------------
As Table 3 shows, 99.3 percent of all IRF cases are in CMGs and
tiers that would experience less than a 5 percent change (either
increase or decrease) in the CMG relative weight value as a result of
the revisions for FY 2019. The largest estimated increase in the
proposed CMG relative weight values that affects the largest number of
IRF discharges would be a 3.4 percent change in the CMG relative weight
value for CMG 0806 Replacement of lower extremity joint, with a motor
score less than 22.05--with no tier adjustment. In the FY 2017 claims
data, 1,580 IRF discharges (0.4 percent of all IRF discharges) were
classified into this CMG and tier.
The largest estimated decrease in a CMG relative weight value
affecting the largest number of IRF cases would be a 2.1 percent
decrease in the CMG relative weight for CMG 0304--Non-traumatic brain
injury, with a motor score less than 26.5--with no tier adjustment. In
the FY 2017 IRF claims data, this change would have affected 3,354
cases (0.8 percent of all IRF cases).
The proposed changes in the average length of stay values for FY
2019, compared with the FY 2018 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 updates to the CMG
relative weights and average length of stay values for FY 2019.
IV. Facility-Level Adjustment Factors
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. Under
this authority, we currently adjust the 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).
Based on the substantive changes to the facility-level adjustment
factors that were adopted in the FY IRF PPS 2014 final rule (78 FR
47860, 47868 through 47872), in the FY 2015 IRF PPS final rule (79 FR
45872, 45882 through 45883), we froze the facility-level adjustment
factors at the 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). For FY 2019, we will continue to hold
the adjustment factors at the FY 2014 levels as we continue to monitor
the most current IRF claims data available and continue to evaluate and
monitor the effects of the FY 2014 changes.
V. Proposed FY 2019 IRF PPS Payment Update
A. Background
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 IRF
PPS payment, 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 prospective payment rates for each FY. Section
1886(j)(3)(C)(ii)(I) of the Act requires the application of a
productivity adjustment. In addition, sections 1886(j)(3)(C)(ii)(II)
and 1886(j)(3)(D)(v) of the Act require the application of a 0.75
percentage point reduction to the market basket increase factor for FY
2019. Thus, we propose to update the IRF PPS payments for FY 2019 by a
market basket increase factor as required by section 1886(j)(3)(C) of
the Act, with a productivity adjustment as required by section
1886(j)(3)(C)(ii)(I) of the Act, and a 0.75 percentage point reduction
as required by sections 1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(v) of
the Act.
Beginning with the FY 2016 IRF PPS, we created and adopted a stand-
alone IRF market basket, which was referred to as the 2012-based IRF
market basket, reflecting the operating and capital cost structures for
freestanding IRFs and hospital-based IRFs. The FY 2016 IRF
[[Page 20982]]
PPS final rule (80 FR 47046 through 47068) contains a complete
discussion of the development of the 2012-based IRF market basket.
B. Proposed FY 2019 Market Basket Update and Productivity Adjustment
For FY 2018, we applied an increase factor of 1.0 percent to update
the IRF prospective payment rates in accordance with section
1886(j)(3)(C)(iii) of the Act, as added by section 411(b) of MACRA.
However, as discussed previously, for FY 2019, we propose to update the
IRF PPS payments by a market basket increase factor as required by
section 1886(j)(3)(C) of the Act, with a productivity adjustment as
required by section 1886(j)(3)(C)(ii)(I) of the Act, and a 0.75
percentage point reduction as required by sections
1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(v) of the Act. For FY 2019, we
propose to use the same methodology described in the FY 2017 IRF PPS
final rule (81 FR 52071) to compute the FY 2019 market basket increase
factor to update the IRF PPS base payment rate.
Consistent with historical practice, we are proposing to estimate
the market basket update for the IRF PPS based on the most up-to-date
forecast of price indexes used in the market basket as forecasted by
IHS Global Inc. (``IGI''). IGI is a nationally recognized economic and
financial forecasting firm with which we contract to forecast the
components of the market baskets and MFP. Based on IGI's first quarter
2018 forecast with historical data through the fourth quarter of 2017,
the 2012-based IRF market basket increase factor for FY 2019 is
projected to be 2.9 percent. Therefore, consistent with our historical
practice of estimating market basket increases based on the best
available data, we are proposing that the 2012-based IRF market basket
increase factor for FY 2019 would be 2.9 percent. We are also proposing
that if more recent data are subsequently available (for example, a
more recent estimate of the market basket update), we would use such
data to determine the FY 2019 market basket update in the final rule.
According to section 1886(j)(3)(C)(i) of the Act, the Secretary
shall establish an increase factor based on an appropriate percentage
increase in a market basket of goods and services. Section
1886(j)(3)(C)(ii) of the Act then requires that, after establishing the
increase factor for a FY, the Secretary shall reduce such increase
factor for FY 2012 and each subsequent FY, by the productivity
adjustment described in section 1886(b)(3)(B)(xi)(II) of the Act.
Section 1886(b)(3)(B)(xi)(II) of the Act sets forth the definition of
this productivity adjustment. 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, year, cost reporting period, or other annual
period) (the ``MFP adjustment''). The BLS publishes the official
measure of private nonfarm business MFP. Please see https://www.bls.gov/mfp for the BLS historical published MFP data. A complete description
of the MFP projection methodology is available on the CMS website at
https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/MedicareProgramRatesStats/MarketBasketResearch.html.
Using IGI's first quarter 2018 forecast, the MFP adjustment for FY
2019 (the 10-year moving average of MFP for the period ending FY 2019)
is projected to be 0.8 percent. Thus, in accordance with section
1886(j)(3)(C) of the Act, we are proposing to base the FY 2019 market
basket update, which is used to determine the applicable percentage
increase for the IRF payments, on the most recent estimate of the 2012-
based IRF market basket. We are proposing to then reduce this
percentage increase by the most recent estimate of the MFP adjustment
for FY 2019 of 0.8 percentage point. Following application of the MFP
adjustment, we are proposing to further reduce the applicable
percentage increase by 0.75 percentage point, as required by sections
1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(v) of the Act. Therefore, the
proposed FY 2019 IRF update is 1.35 percent (2.9 percent market basket
update, less 0.8 percentage point MFP adjustment, less 0.75 percentage
point statutorily required adjustment). Furthermore, we propose that if
more recent data are subsequently available (for example, a more recent
estimate of the MFP adjustment), we will use such data to determine the
FY 2019 MFP adjustment in the final rule.
For FY 2019, the Medicare Payment Advisory Commission (MedPAC)
recommends that we reduce IRF PPS payment rates by 5 percent. As
discussed, and in accordance with sections 1886(j)(3)(C) and
1886(j)(3)(D) of the Act, the Secretary is proposing to update the IRF
PPS payment rates for FY 2019 by an adjusted market basket increase
factor of 1.35 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 2019.
We invite public comment on the proposed market basket update and
productivity adjustment.
C. Proposed Labor-Related Share for FY 2019
Section 1886(j)(6) of the Act specifies that the Secretary is to
adjust the proportion (as estimated by the Secretary from time to time)
of rehabilitation facilities' costs which are attributable to wages and
wage-related costs of the prospective payment rates computed under
section 1886(j)(3) of the Act for area differences in wage levels 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 such facilities. The
labor-related share is determined by identifying the national average
proportion of total costs that are related to, influenced by, or vary
with the local labor market. We continue to classify a cost category as
labor-related if the costs are labor-intensive and vary with the local
labor market.
Based on our definition of the labor-related share and the cost
categories in the 2012-based IRF market basket, we propose to calculate
the labor-related share for FY 2019 as the sum of the FY 2019 relative
importance of Wages and Salaries, Employee Benefits, Professional Fees:
Labor- Related, Administrative and Facilities Support Services,
Installation, Maintenance, and Repair Services, All Other: Labor-
related Services, and a portion of the Capital-Related cost weight from
the 2012-based IRF market basket. For more details regarding the
methodology for determining specific cost categories for inclusion in
the 2012-based IRF labor-related share, see the FY 2016 IRF final rule
(80 FR 47066 through 47068).
Using this method and IGI's first quarter 2018 forecast for the
2012-based IRF market basket, the proposed IRF labor-related share for
FY 2019 is 70.6 percent. We propose that if more recent data are
subsequently available (for example, a more recent estimate of the
labor-related share), we will use such data to determine the FY 2019
IRF labor-related share in the final rule.
Incorporating the most recent estimate of the 2012-based IRF market
basket based on IGI's first quarter 2018 forecast with historical data
through the fourth quarter of 2017, the sum of the relative importance
for FY 2019 operating costs (Wages and Salaries, Employee Benefits,
Professional Fees: Labor-related, Administrative and Facilities Support
Services, Installation Maintenance & Repair Services, and All Other:
Labor-related Services) using the 2012-based
[[Page 20983]]
IRF market basket is 66.8 percent. We propose that the portion of
Capital-Related Costs that is influenced by the local labor market is
estimated to be 46 percent. Incorporating the most recent estimate of
the FY 2019 relative importance of Capital-Related costs from the 2012-
based IRF market basket based on IGI's first quarter 2018 forecast with
historical data through the fourth quarter of 2017, which is 8.2
percent, we take 46 percent of 8.2 percent to determine the labor-
related share of Capital for FY 2019. We propose to then add this
amount (3.8 percent) to the sum of the relative importance for FY 2019
operating costs (66.8 percent) to determine the total labor-related
share for FY 2019 of 70.6 percent. Thus, the proposed FY 2019 labor-
related share is 70.6 percent. By comparison, the FY 2018 labor-related
share was 70.7 percent.
Table 4--IRF Labor-Related Share
------------------------------------------------------------------------
FY 2019
proposed labor- FY 2018 final
related share labor related
\1\ share \2\
------------------------------------------------------------------------
Wages and salaries...................... 47.8 47.8
Employee Benefits....................... 11.1 11.2
Professional Fees: Labor-related........ 3.4 3.4
Administrative and Facilities Support 0.8 0.8
Services...............................
Installation, Maintenance, and Repair 1.9 1.9
Services...............................
All Other: Labor-related Services....... 1.8 1.8
-------------------------------
Subtotal............................ 66.8 66.9
Labor-related portion of capital (46%).. 3.8 3.8
-------------------------------
Total Labor-Related Share....... 70.6 70.7
------------------------------------------------------------------------
\1\ Based on the 2012-based IRF Market Basket, IGI's 1st quarter 2018
forecast with historical data through the 4th quarter of 2017.
\2\ Federal Register (82 FR 36249).
We invite public comment on the proposed labor-related share for FY
2019.
D. Proposed Wage Adjustment for FY 2019
1. Background
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 2019, we propose to maintain the policies and methodologies
described in the FY 2018 IRF PPS final rule (82 FR 36238, 36249 through
36250) 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 2018 pre-reclassification and
pre-floor hospital wage index data. In accordance with section
1886(d)(3)(E) of the Act, the FY 2018 pre-reclassification and pre-
floor hospital wage index is based on data submitted for hospital cost
reporting periods beginning on or after October 1, 2013, and before
October 1, 2014 (that is, FY 2014 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 2019 IRF
PPS wage index.
We invite public comment on this proposal.
2. Core-Based Statistical Areas (CBSAs) for the Proposed FY 2019 IRF
Wage Index
The wage index used for the IRF PPS is calculated using the pre-
reclassification and pre-floor acute care hospital wage index data and
is assigned to the IRF on the basis of the labor market area in which
the IRF is geographically located. IRF labor market areas are
delineated based on the CBSAs established by the OMB. The current CBSA
delineations (which were implemented for the IRF PPS beginning with FY
2016) are based on revised OMB delineations issued on February 28,
2013, in OMB Bulletin No. 13-01. OMB Bulletin No. 13-01 established
revised delineations for Metropolitan Statistical Areas, Micropolitan
Statistical Areas, and Combined Statistical Areas in the United States
and Puerto Rico based on the 2010 Census, and provided guidance on the
use of the delineations of these statistical areas using standards
published on June 28, 2010, in the Federal Register (75 FR 37246
through 37252). We refer readers to the FY 2016 IRF PPS final rule (80
FR 47068 through 47076) for a full discussion of our implementation of
the OMB labor market area delineations beginning with the FY 2016 wage
index.
Generally, OMB issues major revisions to statistical areas every 10
years, based on the results of the decennial census. However, OMB
occasionally issues minor updates and revisions to statistical areas in
the years between the decennial censuses. On July 15, 2015, OMB issued
OMB Bulletin No. 15-01, which provides minor updates to and supersedes
OMB Bulletin No. 13-01 that was issued on February 28, 2013. The
attachment to OMB Bulletin No. 15-01 provides detailed information on
the update to statistical areas since February 28, 2013. The updates
provided in OMB Bulletin No. 15-01 are based on the application of the
2010 Standards for Delineating Metropolitan and Micropolitan
Statistical Areas to Census Bureau population estimates for July 1,
2012 and July 1, 2013. The complete list of statistical areas
incorporating these changes is provided in OMB Bulletin No. 15-01. In
the FY 2018 IRF PPS final rule (82 FR 36250 through 36251), we
[[Page 20984]]
adopted the updates set forth in OMB Bulletin No. 15-01 effective
October 1, 2017, beginning with the FY 2018 wage index. For a complete
discussion of the adoption of the updates set forth in OMB Bulletin No.
15-01, we refer readers to the FY 2018 IRF PPS final rule.
For FY 2019, we propose to continue using the OMB delineations that
we adopted beginning with FY 2016 to calculate the area wage indexes,
with the updates set forth in OMB Bulletin No. 15-01 that we adopted
beginning with the FY 2018 wage index.
We invite public comment on this proposal.
3. Codes for Constituent Counties in CBSAs
CBSAs are made up of one or more constituent counties. Each CBSA
and constituent county has its own unique identifying codes. There are
two different lists of codes associated with counties: Social Security
Administration (SSA) codes and Federal Information Processing Standard
(FIPS) codes. Historically, we have used SSA and FIPS county codes to
identify and crosswalk counties to CBSA codes for purposes of the IRF
wage index. We have learned that SSA county codes are no longer being
maintained and updated. However, the FIPS codes continue to be
maintained by the U.S. Census Bureau. The Census Bureau's most current
statistical area information is derived from ongoing census data
received since 2010; the most recent data are from 2015. For purposes
of cross-walking counties to CBSA codes, we are proposing to
discontinue the use of SSA county codes and continue using only the
FIPS county codes. We are proposing to use the FIPS county codes to
calculate area wage indexes in a manner that is generally consistent
with the CBSA-based methodologies finalized in the FY 2006 IRF final
rule (70 FR 47880) and the FY 2016 IRF final rule (80 FR 47036). The
use of the FIPS codes for cross-walking counties to CBSAs does not
result in any changes to the constituent counties of any CBSA. Thus,
there is no impact or change for any IRF due to the use of the FIPS
county codes. We believe that using the latest FIPS codes will allow us
to maintain a more accurate and up-to-date payment system that reflects
the reality of population shifts and labor market conditions.
As discussed in the FY 2018 Inpatient prospective payment system
(IPPS) and Long-Term Care Hospital (LTCH) PPS final rule (82 FR 38130),
this change was implemented under the IPPS beginning on October 1,
2017. Therefore, we are proposing to implement this revision for the
IRF PPS beginning October 1, 2018, consistent with our historical
practice of modeling IRF PPS adoption of updates to labor market areas
after IPPS adoption of these changes.
We invite public comments on this proposal.
4. Wage Adjustment
The proposed wage index applicable to FY 2019 is available on the
CMS website at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/InpatientRehabFacPPS/Data-Files.html. Table A is for urban
areas, and Table B is for rural areas.
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 2019 labor-related share based
on the 2012-based IRF market basket (70.6 percent) to determine the
labor-related portion of the standard payment amount. A full discussion
of the calculation of the labor-related share is located in section V.C
of this proposed rule. We then multiply the labor-related portion by
the applicable IRF wage index from the tables in the addendum to this
proposed rule. These tables are available on the CMS website at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/InpatientRehabFacPPS/Data-Files.html.
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
propose to calculate a 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 propose to
use the listed steps to ensure that the FY 2019 IRF standard payment
conversion factor reflects the proposed update to the wage indexes
(based on the FY 2014 hospital cost report data) and the labor-related
share in a budget-neutral manner:
Step 1. Determine the total amount of the estimated FY 2018 IRF PPS
payments, using the FY 2018 standard payment conversion factor and the
labor-related share and the wage indexes from FY 2018 (as published in
the FY 2018 IRF PPS final rule (82 FR 36238)).
Step 2. Calculate the total amount of estimated IRF PPS payments
using the proposed FY 2019 standard payment conversion factor and the
proposed FY 2019 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 proposed FY 2019
budget-neutral wage adjustment factor of 1.0000.
Step 4. Apply the proposed FY 2019 budget-neutral wage adjustment
factor from step 3 to the FY 2018 IRF PPS standard payment conversion
factor after the application of the increase factor to determine the
proposed FY 2019 standard payment conversion factor.
We discuss the calculation of the proposed standard payment
conversion factor for FY 2019 in section V.E. of this proposed rule.
We invite public comment on the proposed IRF wage adjustment for FY
2019.
E. Description of the Proposed IRF Standard Payment Conversion Factor
and Payment Rates for FY 2019
To calculate the proposed standard payment conversion factor for FY
2019, as illustrated in Table 5, we begin by applying the proposed
increase factor for FY 2019, as adjusted in accordance with sections
1886(j)(3)(C) and (D) of the Act, to the standard payment conversion
factor for FY 2018 ($15,838). Applying the proposed 1.35 percent
increase factor for FY 2019 to the standard payment conversion factor
for FY 2018 of $15,838 yields a standard payment amount of $16,052.
Then, we apply the proposed budget neutrality factor for the FY 2019
wage index and labor-related share of 1.0000, which results in a
proposed standard payment amount of $16,052. We next apply the proposed
budget neutrality factor for the revised CMG relative weights of
0.9980, which results in the proposed standard payment conversion
factor of $16,020 for FY 2019.
Table 5--Calculations To Determine the Proposed FY 2019 Standard Payment
Conversion Factor
------------------------------------------------------------------------
Explanation for adjustment Calculations
------------------------------------------------------------------------
Standard Payment Conversion Factor for FY 2018.......... $15,838
[[Page 20985]]
Market Basket Increase Factor for FY 2019 (2.9 percent), x 1.0135
reduced by 0.8 percentage point for the productivity
adjustment as required by section 1886(j)(3)(C)(ii)(I)
of the Act, and reduced by 0.75 percentage point in
accordance with sections 1886(j)(3)(C)(ii)(II) and
1886(j)(3)(D)(v) of the Act............................
Budget Neutrality Factor for the Wage Index and Labor- x 1.0000
Related Share..........................................
Budget Neutrality Factor for the Revisions to the CMG x 0.9980
Relative Weights.......................................
Proposed FY 2019 Standard Payment Conversion Factor..... = $16,020
------------------------------------------------------------------------
We invite public comment on the proposed FY 2019 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 2019
standard payment conversion factor ($16,020), the resulting unadjusted
IRF prospective payment rates for FY 2019 are shown in Table 6.
Table 6--Proposed FY 2019 Payment Rates
----------------------------------------------------------------------------------------------------------------
Payment rate Payment rate Payment rate Payment rate
CMG tier 1 tier 2 tier 3 no comorbidity
----------------------------------------------------------------------------------------------------------------
0101............................................ $13,594.57 $11,801.93 $10,831.12 $10,350.52
0102............................................ 17,176.64 14,911.42 13,684.28 13,078.73
0103............................................ 19,879.22 17,256.74 15,837.37 15,135.70
0104............................................ 20,749.10 18,012.89 16,531.04 15,798.92
0105............................................ 23,845.77 20,701.04 18,998.12 18,155.47
0106............................................ 26,674.90 23,156.91 21,252.13 20,310.16
0107............................................ 29,901.33 25,957.21 23,823.34 22,766.02
0108............................................ 36,966.15 32,089.66 29,451.17 28,145.54
0109............................................ 33,438.55 29,028.24 26,641.26 25,460.59
0110............................................ 44,288.89 38,448.00 35,287.25 33,720.50
0201............................................ 13,181.26 10,694.95 9,547.92 8,915.13
0202............................................ 18,299.65 14,850.54 13,254.95 12,377.05
0203............................................ 20,186.80 16,380.45 14,623.06 13,653.85
0204............................................ 21,982.64 17,838.27 15,923.88 14,868.16
0205............................................ 25,966.82 21,071.11 18,809.08 17,562.73
0206............................................ 31,295.07 25,394.90 22,668.30 21,165.62
0207............................................ 39,534.16 32,080.05 28,635.75 26,738.98
0301............................................ 18,807.48 15,214.19 13,956.62 13,049.89
0302............................................ 22,966.27 18,578.39 17,043.68 15,936.70
0303............................................ 26,572.37 21,497.24 19,719.02 18,439.02
0304............................................ 33,955.99 27,469.49 25,197.86 23,562.22
0401............................................ 16,069.66 12,995.42 12,011.80 10,978.51
0402............................................ 23,884.22 19,313.71 17,852.69 16,317.97
0403............................................ 37,831.23 30,591.79 28,275.30 25,845.07
0404............................................ 64,344.33 52,031.36 48,093.64 43,958.88
0405............................................ 56,746.04 45,886.09 42,414.55 38,766.80
0501............................................ 14,698.35 11,449.49 10,597.23 9,733.75
0502............................................ 19,554.01 15,231.82 14,097.60 12,948.97
0503............................................ 24,227.05 18,873.16 17,466.61 16,044.03
0504............................................ 27,881.21 21,718.31 20,101.90 18,464.65
0505............................................ 31,915.04 24,861.44 23,009.53 21,136.79
0506............................................ 43,199.53 33,651.61 31,144.48 28,608.52
0601............................................ 17,184.65 13,168.44 12,199.23 11,119.48
0602............................................ 22,331.88 17,110.96 15,853.39 14,448.44
0603............................................ 27,450.27 21,034.26 19,486.73 17,761.37
0604............................................ 35,498.72 27,200.36 25,199.46 22,967.87
0701............................................ 16,489.39 13,437.58 12,742.31 11,497.55
0702............................................ 20,971.78 17,090.14 16,204.23 14,623.06
0703............................................ 25,004.02 20,377.44 19,321.72 17,434.57
0704............................................ 31,932.67 26,022.89 24,674.00 22,266.20
0801............................................ 13,395.92 10,925.64 9,866.72 9,174.65
0802............................................ 17,272.76 14,086.39 12,721.48 11,829.17
0803............................................ 22,703.54 18,514.31 16,721.68 15,549.01
0804............................................ 20,411.08 16,644.78 15,033.17 13,979.05
0805............................................ 24,326.37 19,837.57 17,916.77 16,659.20
0806............................................ 30,015.07 24,476.96 22,107.60 20,556.86
0901............................................ 16,558.27 12,961.78 11,998.98 11,058.61
0902............................................ 20,949.35 16,398.07 15,180.55 13,991.87
0903............................................ 26,149.45 20,468.75 18,948.46 17,465.00
0904............................................ 32,759.30 25,641.61 23,738.44 21,878.51
1001............................................ 17,484.23 14,741.60 13,150.82 12,120.73
1002............................................ 22,405.57 18,890.78 16,853.04 15,532.99
[[Page 20986]]
1003............................................ 32,438.90 27,350.95 24,400.06 22,488.88
1101............................................ 22,110.80 15,952.72 15,952.72 14,333.09
1102............................................ 31,073.99 22,419.99 22,419.99 20,143.55
1201............................................ 17,831.86 15,311.92 13,926.19 12,655.80
1202............................................ 22,565.77 19,377.79 17,623.60 16,016.80
1203............................................ 27,328.52 23,466.10 21,343.45 19,397.02
1301............................................ 17,580.35 15,404.83 14,209.74 13,421.56
1302............................................ 23,030.35 20,182.00 18,615.24 17,583.55
1303............................................ 27,735.43 24,303.94 22,418.39 21,175.24
1401............................................ 14,802.48 12,039.03 10,863.16 9,770.60
1402............................................ 19,851.98 16,144.96 14,566.99 13,104.36
1403............................................ 23,671.15 19,251.23 17,370.49 15,624.31
1404............................................ 29,784.38 24,222.24 21,856.09 19,659.74
1501............................................ 16,173.79 14,044.73 12,740.71 12,189.62
1502............................................ 20,622.55 17,907.16 16,244.28 15,542.60
1503............................................ 24,465.74 21,245.72 19,272.06 18,440.62
1504............................................ 30,883.36 26,817.48 24,327.97 23,277.06
1601............................................ 19,372.99 14,848.94 14,075.17 12,715.07
1602............................................ 24,581.09 18,839.52 17,859.10 16,132.14
1603............................................ 29,880.50 22,900.59 21,708.70 19,610.08
1701............................................ 20,612.93 15,661.15 14,619.85 13,174.85
1702............................................ 24,831.00 18,866.75 17,610.79 15,871.01
1703............................................ 29,023.43 22,051.53 20,584.10 18,551.16
1704............................................ 36,902.07 28,038.20 26,171.87 23,587.85
1801............................................ 17,958.42 16,181.80 13,591.37 12,715.07
1802............................................ 26,610.82 23,977.13 20,140.34 18,841.12
1803............................................ 41,559.08 37,446.75 31,453.67 29,425.54
1901............................................ 22,633.06 16,181.80 15,209.39 14,592.62
1902............................................ 39,846.55 28,486.76 26,775.83 25,691.27
1903............................................ 68,740.22 49,144.55 46,190.47 44,319.33
2001............................................ 15,526.58 12,357.83 11,476.73 10,414.60
2002............................................ 20,178.79 16,060.05 14,916.22 13,535.30
2003............................................ 24,795.76 19,735.04 18,330.08 16,631.96
2004............................................ 31,609.06 25,157.81 23,365.17 21,202.47
2101............................................ 30,678.30 24,787.75 24,094.08 21,128.78
5001............................................ .............. .............. .............. 2,564.80
5101............................................ .............. .............. .............. 12,112.72
5102............................................ .............. .............. .............. 26,469.85
5103............................................ .............. .............. .............. 12,998.63
5104............................................ .............. .............. .............. 33,951.19
----------------------------------------------------------------------------------------------------------------
F. Example of the Methodology for Adjusting the Proposed Prospective
Payment Rates
Table 7 illustrates the methodology for adjusting the proposed
federal prospective payments (as described in section V. of this
proposed rule). The following examples are based on two hypothetical
Medicare beneficiaries, both classified into CMG 0110 (without
comorbidities). The proposed unadjusted 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 0.8088, 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 0.8689, and a
teaching status adjustment of 0.0784.
To calculate each IRF's labor and non-labor portion of the proposed
prospective payment, we begin by taking the unadjusted prospective
payment rate for CMG 0110 (without comorbidities) from Table 6. Then,
we multiply the proposed labor-related share for FY 2019 (70.6 percent)
described in section V.C. of this proposed rule by the proposed
unadjusted prospective payment rate. To determine the non-labor portion
of the proposed prospective payment rate, we subtract the labor portion
of the proposed federal payment from the proposed unadjusted
prospective payment.
To compute the proposed wage-adjusted prospective payment, we
multiply the labor portion of the proposed federal payment by the
appropriate wage index located in Tables A and B. These tables are
available on the CMS website at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/InpatientRehabFacPPS/Data-Files.html. 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 of the proposed federal payment.
Adjusting the proposed wage-adjusted federal payment by the
facility-level adjustments involves several steps. First, we take the
wage-adjusted 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
[[Page 20987]]
additional teaching status payments (if applicable) to the wage, rural,
and LIP-adjusted prospective payment rates. Table 7 illustrates the
components of the adjusted payment calculation.
Table 7--Example of Computing the FY 2019 IRF Prospective Payment
----------------------------------------------------------------------------------------------------------------
Urban facility B
Steps Rural facility A (Harrison Co.,
(Spencer Co., IN) IN)
----------------------------------------------------------------------------------------------------------------
1.......................................... Unadjusted Payment........... $33,720.50 $33,720.50
2.......................................... Labor Share.................. x 0.706 x 0.706
3.......................................... Labor Portion of Payment..... = $23,806.67 = $23,806.67
4.......................................... CBSA-Based Wage Index (shown x 0.8088 x 0.8689
in the Addendum, Tables A
and B).
5.......................................... Wage-Adjusted Amount......... = $19,254.83 = $20,685.62
6.......................................... Non-Labor Amount............. + $9,913.83 + $9,913.83
7.......................................... Wage-Adjusted Payment........ = $29,168.66 = $30,599.45
8.......................................... Rural Adjustment............. x 1.149 x 1.000
9.......................................... Wage- and Rural-Adjusted = $33,514.79 = $30,599.45
Payment.
10......................................... LIP Adjustment............... x 1.0156 x 1.0454
11......................................... Wage-, Rural- and LIP- = $34,037.62 = $31,988.67
Adjusted Payment.
12......................................... Wage- and Rural-Adjusted $33,514.79 $30,599.45
Payment.
13......................................... Teaching Status Adjustment... x 0 x 0.0784
14......................................... Teaching Status Adjustment = $0.00 = $2,399.00
Amount.
15......................................... Wage-, Rural-, and LIP- + $34,037.62 + $31,988.67
Adjusted Payment.
16......................................... Total Adjusted Payment....... = $34,037.62 = $34,387.67
----------------------------------------------------------------------------------------------------------------
Thus, the proposed adjusted payment for Facility A would be
$34,037.62, and the proposed adjusted payment for Facility B would be
$34,387.67.
VI. Proposed Update to Payments for High-Cost Outliers Under the IRF
PPS for FY 2019
A. Proposed Update to the Outlier Threshold Amount for FY 2019
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 2006 through 2018 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, 77 FR 44618, 78 FR 47860,
79 FR 45872, 80 FR 47036, 81 FR 52056, and 82 FR 36238, 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 2019, we propose
to use FY 2017 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 2018. The outlier threshold is calculated by
simulating aggregate payments and using an iterative process to
determine a threshold that results in outlier payments being equal to 3
percent of total payments under the simulation. To determine the
outlier threshold for FY 2019, we estimate the amount of FY 2019 IRF
PPS aggregate and outlier payments using the most recent claims
available (FY 2017) and the proposed FY 2019 standard payment
conversion factor, labor-related share, and wage indexes, incorporating
any applicable budget-natural adjustment factors. The outlier threshold
is adjusted either up or down in this simulation until the estimated
outlier payments equal 3 percent of the estimated aggregate payments.
Based on an analysis of the preliminary data used for the proposed
rule, we estimated that IRF outlier payments as a percentage of total
estimated payments would be approximately 3.4 percent in FY 2018.
Therefore, we propose to update the outlier threshold amount from
$8,679 for FY 2018 to $10,509 for FY 2019 to maintain estimated outlier
payments at approximately 3 percent of total estimated aggregate IRF
payments for FY 2019.
We invite public comment on the proposed update to the FY 2019
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 for FY 2019
Cost-to-charge ratios are used to adjust charges from Medicare
claims to costs and are computed annually from facility-specific data
obtained from Medicare cost reports. IRF specific cost-
[[Page 20988]]
to-charge ratios are used in the development of the CMG relative
weights and the calculation of outlier payments under the IRF
prospective payment system. In accordance with the methodology stated
in the FY 2004 IRF PPS final rule (68 FR 45674, 45692 through 45694),
we propose to 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
2019, 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 2019, as discussed below in this section.
Other IRFs for which accurate data to calculate an overall
CCR are not available.
Specifically, for FY 2019, we propose to estimate a national
average CCR of 0.470 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, we propose to estimate a
national average CCR of 0.392 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 total costs factor more heavily into the averages than the
CCRs of IRFs with lower total costs. For this proposed rule, we have
used the most recent available cost report data (FY 2016). This
includes all IRFs whose cost reporting periods begin on or after
October 1, 2015, and before October 1, 2016. If, for any IRF, the FY
2016 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 2015)
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, we proposed a national CCR ceiling of 1.31 for FY 2019. This
means that, if an individual IRF's CCR were to exceed this proposed
ceiling of 1.31 for FY 2019, 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 previously discussed) 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.
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 becomes 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 2019.
VII. Proposed Removal of the FIM \TM\ Instrument and Associated
Function Modifiers From the IRF-PAI Beginning With FY 2020 and Proposed
Refinements to the Case-Mix Classification System Beginning With FY
2020
A. Proposed Removal of the FIM \TM\ Instrument and Associated Function
Modifiers From the IRF-PAI Beginning With FY 2020
Under section 1886(j)(2)(D) of the Act, the Secretary is authorized
to require rehabilitation facilities that provide inpatient hospital
services to submit such data as the Secretary deems necessary to
establish and administer the IRF PPS. In the FY 2002 IRF PPS final rule
(66 FR 41324 through 41328), we finalized the use of the IRF-PAI,
through which IRFs are now required to collect and electronically
submit patient data for all Medicare Part A FFS and Medicare Part C
(Medicare Advantage) patients. Data collected in the IRF-PAI is used to
classify patients into distinct payment groups based on clinical
characteristics and expected resource needs as well as to monitor the
quality of care furnished in IRFs.
The IRF-PAI currently in use under the IRF PPS (IRF-PAI version
2.0) was originally developed based on a modified version of the
Uniform Data System for medical rehabilitation (UDSmr) patient
assessment instrument, commonly referred to as the FIM \TM\. Item 39 of
the IRF-PAI version 2.0 contains 18 of the FIM \TM\ data elements and
the FIM \TM\ measurement scale that are used to score both motor and
cognitive functioning at admission and discharge. The FIM \TM\ data
elements and measurement scale are collectively referred to as the FIM
\TM\ instrument. Additionally, items 29 through 38 of the IRF-PAI
version 2.0 contain Function Modifiers associated with the FIM \TM\
instrument. The FIM \TM\ instrument and associated Function Modifiers
are currently used to assign a patient into a CMG for payment purposes
under the IRF PPS based on the patient's ability to perform specific
activities of daily living and, in some cases, the patient's cognitive
ability.
In the FY 2012 IRF PPS final rule (76 FR 47873 through 47883), we
established the IRF QRP in accordance with section 1886(j)(7) of the
Act and finalized revisions to the IRF-PAI to begin collecting data
items under the IRF QRP. Under the IRF QRP, the following data items
are collected in the Quality Indicators section of the IRF-PAI:
GG0130A1 Eating
GG0130B1 Oral hygiene
GG0130C1 Toileting hygiene
GG0130E1 Shower/bathe self
GG0130F1 Upper-body dressing
GG0130G1 Lower-body dressing
GG0130H1 Putting on/taking off footwear
GG0170A1 Roll left and right
GG0170B1 Sit to lying
GG0170C1 Lying to sitting on side of bed
GG0170D1 Sit to stand
GG0170E1 Chair/bed-to-chair transfer
GG0170F1 Toilet transfer
GG0170I1 Walk 10 feet
GG0170J1 Walk 50 feet with two turns
GG0170K1 Walk 150 feet
GG0170M1 One step curb
H0350 Bladder continence
H0400 Bowel continence
BB0700 Expression of ideas and wants
BB0800 Understanding verbal content
C0500 Brief Interview for Mental Status (BIMS) summary
score
Because these data items collect data that are similar in nature
to, and overlap with, data collected through the FIM \TM\ instrument
and associated Function Modifiers, we are proposing to remove the FIM
\TM\ instrument and associated Function Modifiers from the IRF-PAI
beginning with FY 2020 to reduce administrative burden on IRFs.
[[Page 20989]]
Currently, data elements in the FIM \TM\ instrument and associated
Function Modifiers capture data on eating, grooming, bathing, dressing
upper body, dressing lower body, toileting, bladder management, bowel
management, transfer to bed/chair/wheelchair, transfer to toilet,
transfer to tub/shower, walking or wheelchair use, stair climbing,
comprehension, expression, social interaction, problem solving, and
memory. The Function Modifiers are used to assist in the scoring of the
related FIM \TM\ instrument data elements and provide additional
information as to how the FIM \TM\ instrument data element score has
been determined. For example, item 29 (Bladder Level of Assistance) and
item 30 (Bladder Frequency of Accidents) are used to determine the
score for the item 39G, the Bladder data element contained in the FIM
\TM\ instrument.
Data items in the Quality Indicators section of the IRF-PAI capture
data on functional status, cognitive function, and changes in function
and cognitive function among other elements used for quality reporting.
For example, the data items in the Quality Indicators section of the
IRF-PAI capture data on eating, oral hygiene, toileting hygiene,
shower/bathing, dressing upper body, dressing lower body, bowel
continence, bladder continence, chair/bed-to-chair transfer, toilet
transfer, walking, stair climbing, expression of ideas and wants,
understanding verbal and non-verbal content, temporal orientation, and
memory/recall ability.
As the data elements in the FIM \TM\ instrument (item 39 of the
IRF-PAI) and associated Function Modifiers (items 29 through 38 of the
IRF-PAI) overlap, directly or indirectly, with data items in the
Quality Indicators section of the IRF-PAI, and as we can now use data
items in the Quality Indicators section of the IRF-PAI to assign
patients to CMGs for payment under the IRF PPS, we believe that the
collection of the FIM \TM\ instrument and associated Function Modifiers
is no longer necessary. Accordingly, we believe that continuing to
collect the FIM \TM\ instrument and associated Function Modifiers
places undue burden on IRFs. Additionally, the removal of the FIM \TM\
instrument and associated Function Modifiers from the IRF-PAI supports
the broader goal to standardize data collection across PAC settings as
several of the data items we are proposing to incorporate into the IRF
case-mix system are similar to data elements that are also collected on
Skilled Nursing Facility (SNF) and LTCH assessment instruments. For a
discussion of how the data items located in the Quality Indicators
section of the IRF-PAI will be incorporated into the case-mix
classification system please refer to section VII.B of this proposed
rule. In support of our goal to reduce administrative burden on
providers, we are proposing to remove the FIM \TM\ instrument (item 39)
and associated Function Modifiers (items 29 through 38) from the IRF-
PAI beginning with FY 2020, that is, for all IRF discharges beginning
on or after October 1, 2019.
We invite public comment on our proposal to remove the FIM \TM\
instrument and associated Function Modifiers from the IRF-PAI beginning
with FY 2020, that is, for all IRF discharges beginning on or after
October 1, 2019.
B. Proposed Refinements to the Case-Mix Classification System Beginning
With FY 2020
1. IRF Classification System Overview
Section 1886(j)(2) of the Act requires the Secretary to establish
case-mix groups for payment under the IRF PPS. Under section
1886(j)(2)(B) of the Act, the Secretary must assign each case-mix group
a weighting factor that reflects the relative facility resources used
for patients classified within the group as compared to patients
classified within other groups. Additionally, section 1886(j)(2)(C)(i)
of the Act requires the Secretary from time to time to adjust the
classifications and weighting factors as appropriate to reflect changes
in treatment patterns, technology, case-mix, number of payment units
for which payment is made under title XVIII of the Act, and other
factors which may affect the relative use of resources. Such
adjustments must be made in a manner so that changes in aggregate
payments under the classification system are a result of real changes
and are not a result of changes in coding that are unrelated to real
changes in case mix.
In the FY 2002 IRF PPS final rule (66 FR 41316), we established a
case-mix classification system for IRFs under the IRF PPS. Under the
case-mix classification system, a patient's principal diagnosis or
impairment is used to classify the patient into a RIC. The patient is
then placed into a CMG within the RIC, based on the patient's
functional status (motor and cognitive scores) and sometimes age. Other
special circumstances, such as the occurrence of very short stays, or
cases where the patient expired, are also considered in determining the
appropriate CMG. CMGs are further divided into tiers based on the
presence of certain comorbidities. These tiers reflect the differential
cost of care compared with the average beneficiary in a CMG. We refer
readers to the FY 2002 final rule (66 FR 41316) and the FY 2006 IRF
final rule (70 FR 47886) for a detailed discussion of the development
of, and refinements to, the IRF case-mix classification system.
As discussed in section VII.A of this proposed rule, we are
proposing to remove the FIM \TM\ instrument and associated Function
Modifiers from the IRF-PAI beginning with FY 2020, that is, for all IRF
discharges beginning on or after October 1, 2019. This would
necessitate the incorporation of the data items collected on admission
and located in the Quality Indicators section of the IRF-PAI version
2.0 into the CMG classification system, as the FIM \TM\ data would no
longer be available to assign patients to CMGs for purposes of payment
under the IRF PPS. In accordance with section 1886(j)(2)(C)(i) of the
Act and as specified in Sec. 412.620(c) we are proposing to replace
our use of the FIM \TM\ items in assigning CMGs with use of data items
located in the Quality Indicators section of the IRF-PAI. In addition,
to ensure that IRF payments are accurately calculated using the data
items located in the Quality Indicators section of the IRF-PAI, we also
propose to update the functional status scores used in the case-mix
system and to revise the CMGs and update the relative weights and
average length of stay values associated with the revised CMGs. We
propose to implement these revisions to the case-mix classification
system in a budget neutral manner.
We are proposing to make these changes effective beginning with FY
2020, that is, for discharges occurring on or after October 1, 2019, as
they require extensive systems changes. That is, we are proposing to
implement these changes with a one-year delayed effective date to allow
adequate time for providers and vendors to make the necessary systems
changes. These proposals are discussed in detail below. We are not
proposing any changes to the methodology used to update the CMGs,
relative weights and average length of stay values for FY 2019, that
is, for discharges occurring on or after October 1, 2018, and on or
before September 30, 2019. For information on the proposed updates to
the CMG relative weights and average length of stay values for FY 2019,
please refer to section III of this proposed rule.
2. Proposed Changes to the Functional Status Scores Beginning With FY
2020
As discussed in the FY 2006 IRF final rule (70 FR 47886), under the
CMG case-mix classification system, a patient's
[[Page 20990]]
principal diagnosis or impairment is used to classify the patient into
a RIC. After using the RIC to define the first division among the
inpatient rehabilitation groups, a patient's motor and cognitive scores
and age are used to partition the cases further. To classify a patient
into a CMG, IRFs use the admission assessment data from the IRF-PAI to
score a patient's functional status. Currently, the functional status
scores consist of what are termed ``motor'' items and ``cognitive''
items. In addition to the functional status scores, the patient's age
may also influence the patient's CMG classification. The motor items
are generally indications of the patient's physical functioning level.
The cognitive items are generally indications of the patient's mental
functioning level, and are related to the patient's ability to process
and respond to empirical factual information, use judgment, and
accurately perceive what is happening. Under the current case-mix
system, the motor and cognitive scores are derived from a combination
of data elements in the FIM \TM\ instrument (item 39 of the IRF-PAI).
Eating, grooming, bathing, dressing upper body, dressing lower body,
toileting, bladder management, bowel management, transfer to bed/chair/
wheelchair, transfer to toilet, walking or wheelchair use, and stair
climbing are the data elements collected through the FIM \TM\
instrument that are currently used to compute a patient's weighted
motor score. Comprehension, expression, social interaction, problem
solving, and memory are the data elements collected through the FIM
\TM\ instrument that are used to compute a patient's cognitive score.
Each data element is recorded on the IRF-PAI and scored on a scale of 1
to 7, with a 7 indicating complete independence in this area of
functioning, and a one indicating that a patient is very impaired in
this area of functioning. Additionally, a value of zero is used to
indicate that an activity did not occur. The scores for each data
element above are then used to determine the patient's weighted motor
score and cognitive score, which may be used to group a patient into a
CMG for payment purposes under the IRF PPS.
As discussed in section VII.A of this proposed rule, we are
proposing to remove the FIM \TM\ instrument and associated Function
Modifiers from the IRF-PAI beginning with FY 2020. As the data in the
FIM \TM\ instrument section will no longer be available to determine
the motor and cognitive scores used to assign patients to CMGs, we are
proposing to use data items collected on admission and located in the
Quality Indicators section of the IRF-PAI to derive the functional
status scores used to assign patients to a CMG for payment purposes
under the IRF PPS. The Quality Indicators section of the IRF-PAI
includes data items that are similar to the data elements located in
the FIM \TM\ instrument, in addition to new data elements that capture
additional functional status information.
In the summer of 2013, we contracted with Research Triangle
Institute, International (RTI) to explore use of the data items
collected in the Quality Indicators section of the IRF-PAI in setting
IRF PPS payments. Some of the data items collected in the Quality
Indicators section of the IRF-PAI were originally developed and tested
as part of the Post-Acute Care Payment Reform Demonstration (PAC-PRD)
version of the Continuity Assessment Record and Evaluation (CARE) Item
Set. The CARE item set was developed in response to a mandate in
section 5008 of the Deficit Reduction Act of 2005 (Pub. L. 109-171,
enacted on February 8, 2006) (DRA) to develop a uniform patient
assessment instrument to assess patients across all types of acute and
PAC providers.
In the first stage of this analysis, RTI hosted a Technical Expert
Panel (TEP) on September 18, 2014, which brought together researchers,
clinicians, and representatives from provider associations to discuss
exploratory research on the potential to incorporate the CARE data
items in the current case-mix system utilized in the IRF PPS. We
received helpful feedback on the exploratory research including
clinicians' views of the importance and significance of various
findings, input on the methodology used to incorporate the CARE items,
and potential limitations of the analysis. RTI's analysis of the
original CARE data set, along with guidance from the TEP, suggested the
need to derive different functional status measures from the data
collected in the Quality Indicators section of the IRF-PAI. The data
items from the Quality Indicators section of the IRF-PAI contain
slightly different information and utilize a different rating system
than the items collected on the FIM \TM\ instrument. Thus, we are
proposing to modify the IRF case-mix classification system to calculate
IRF PPS payments correctly using the admission data items from the
Quality Indicators section of the IRF-PAI. RTI considered a broad range
of the data items in the Quality Indicators section of the IRF-PAI to
identify the best predictors of IRF costs. These analyses examined all
motor, cognitive, and additional items collected at admission to
predict costs. The regression analysis indicated that the components of
functional status that were found to best predict costs were the
patient's motor function, a memory function, a communication function
based on comprehension and expression, and age.
The proposed motor items used to derive the additive motor score
are eating, oral hygiene, toileting hygiene, shower bathe/self, upper
body dressing, lower body dressing, putting on/taking off footwear,
bladder continence, bowel continence, roll left and right, sit to
lying, lying to sitting on side of bed, sit to stand, chair/bed-to-
chair transfer, toilet transfer, walk 10 feet, walk 50 feet with two
turns, walk 150 feet, and 1 step (curb). The proposed item used to
derive the memory score is the BIMS summary score, which is based on
the repetition of three words, temporal orientation, and recall. The
proposed communication score is derived from the hearing, speech, and
vision items including expression of ideas and wants and understanding
verbal and non-verbal content. We are proposing to incorporate a motor
score, a memory score, a communication score, and age into the IRF
case-mix classification system. Currently, the IRF case-mix system uses
a weighted motor score and an unweighted cognitive score. We are not
proposing to apply a weighting methodology to the motor score at this
time. We are proposing to derive the scores for each respective group
of the functional status items described above by calculating the sum
of the items that constitute each functional status component. For a
more detailed discussion of these analysis please refer to the
technical report, ``Analyses to Inform the Potential Use of
Standardized Patient Assessment Data Elements in the Inpatient
Rehabilitation Facility Prospective Payment System,'' available at
https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/InpatientRehabFacPPS/Research.html.
At this time, we believe that it is appropriate to utilize the
admission data items located in the Quality Indicators section of the
IRF-PAI, as described above, in place of the FIM \TM\ items to
determine functional status, as the data items located in the Quality
Indicators section are now available and collected by all IRF providers
for purposes of the IRF QRP. We believe the proposed motor score, a
memory score, a communication score, and age should compose the
functional status scores in the IRF case-mix classification system, as
our analysis determined these to be the best predictors of cost. The
proposed removal of the FIM \TM\ instrument and the proposed
incorporation of certain
[[Page 20991]]
items from the Quality Indicators section of the IRF-PAI to assign
patients to CMGs support our efforts to reduce burden on providers.
Additionally, the removal of the FIM \TM\ instrument and the
incorporation of certain items from the Quality Indicators section of
the IRF-PAI into the CMG case-mix system support our broader goal of
standardizing assessment data collection across PAC settings.
We are proposing to utilize certain data items located in the
Quality Indicators section of the IRF-PAI, as described above, to
generate the functional status scores that will be used to group
patients into CMGs for payment purposes under the IRF PPS beginning in
FY 2020.
We invite public comments on the proposed use of certain data items
located in the Quality Indicators section of the IRF-PAI, as described
above, for payment purposes under the IRF PPS beginning with FY 2020,
that is, for all IRF discharges beginning on or after October 1, 2019.
3. Proposed Updates to the Score Reassignment Methodology Beginning
With FY 2020
As previously noted, the data items located in the Quality
Indicators section of the IRF-PAI utilize a different rating system
than the FIM \TM\ instrument. There are several important differences
to note regarding the rating systems for the data items from the
Quality Indicators section of the IRF-PAI and the data contained in the
FIM \TM\ instrument. First, the data items from the Quality Indicators
section of the IRF-PAI are assessed based on a patient's usual
performance during the assessment period in contrast to the FIM \TM\
items, which are assessed based on the patients lowest functional score
during the assessment period. The data items from the Quality
Indicators section of the IRF-PAI are generally assessed using a 6
level rating scale for the self-care and mobility elements and a 4
level scale for the cognitive elements. The FIM \TM\ data items use a 7
level scale. Additionally, the FIM \TM\ scale includes a value of zero
to indicate an activity did not occur or was not observed. The data
items from the Quality Indicators section of the IRF-PAI utilize the
following four codes to indicate why an activity did not occur: the
patient refused to complete an activity (code 07), the patient did not
perform this activity (code 09), the activity was not attempted due to
environmental limitations (code 10), or the activity was not attempted
due to a medical condition or safety concern (code 88).
As the rating scale for the data items in the Quality Indicators
section of the IRF-PAI captures multiple reasons an activity did not
occur, we are proposing to modify the methodology currently used to
reassign values indicating an activity did not occur or was not
observed, when they are recorded on an item used for payment, beginning
with FY 2020. Currently, when a code of 0 appears for one of the FIM
\TM\ items on the IRF-PAI used to determine payment, the item is
reassigned another value to determine the appropriate payment for the
patient. In the FY 2002 IRF PPS final rule (66 FR 41316), we finalized
a methodology to assign a code of 1 (indicating the patient needed
total assistance) whenever the recorded code indicated that the
activity did not occur. Subsequently, in the FY 2006 IRF PPS final
rule, we revised this methodology to assign a value of 2 when the
transfer to toilet item was coded with a zero value. For more
information on the rationale behind this decision we refer readers to
the 2006 IRF PPS final rule (70 FR 47896 through 47902). As the data
items from the Quality Indicators section of the IRF-PAI now utilize 4
values to indicate an activity did not occur and a dash to indicate
``no information'', we are proposing to modify the reassignment
methodology to incorporate the new codes. For the self-care and
mobility items identified above, we are proposing to recode values of
07, 09, 10, 88, and the presence of a dash (``-'') to 1, the most
dependent level, except the toilet transfer item, which is recoded to
2. These recodes are consistent with the current reassignment
methodology rules. We are also proposing to change the way we treat
specific values for the bowel continence and bladder continence items,
as our analysis of these items and current coding guidelines indicate
these changes are necessary. The bladder continence and bowel
continence items utilize a different scale than the other function
items and may capture clinical information that is not necessarily
reflective of a patient's functional ability. For instance, the bladder
continence scale includes the options ``no urine output'' or ``not
applicable'' for cases where a patient may have renal failure or an
indwelling catheter. A clinical review of these cases determined that
patients for whom these values are coded are similar in terms of
resource needs and costliness to patients for whom functional ability
is captured. Based on this review, we are proposing to recode these
values to be able to score the functional status of a patient when
these values are coded on the IRF-PAI. For the bladder continence item,
we are proposing to reassign a value of 1 (stress incontinence only) to
0 (always continent), a value of 5 (no urine output) to 0 (always
continent), and a value of 9 (not applicable) to 4 (always
incontinent). For the bowel continence item, we are proposing to
reassign a value of 9 (not rated) to 2 (frequently incontinent). For
both items, we are proposing to reassign a missing score to 0 (always
continent). We believe these changes are necessary to update the score
reassignment methodology used to derive the functional status scores to
reflect use of the new data items from the Quality Indicators section
of the IRF-PAI and to accurately assign payments based on a patients'
expected costliness.
We welcome public comments on the proposed updates to the score
reassignment methodology beginning with FY 2020, that is, for all IRF
discharges beginning on or after October 1, 2019.
4. Proposed Refinements to the CMGs Beginning With FY 2020
As previously noted, we are proposing to modify the methodology
used to update the CMGs used to classify IRF patients for purposes of
establishing payment amounts, beginning with FY 2020. We are proposing
to implement revisions to the CMGs in a budget-neutral manner. As
discussed in the FY 2006 IRF PPS final rule (70 FR 47886 through
47887), the current CMGs were derived through Classification and
Regression Trees (CART) analysis that incorporated a patient's
functional status (motor score and cognitive score) and age into the
construction of the CMGs. Under the IRF case-mix classification system,
a patient's principal diagnosis or impairment is used to classify the
patient into a RIC. Currently, there are 21 diagnosis-based RICs. The
RICs are then further subdivided into 92 CMGs. Of the 92 CMGs, patients
are assigned to 87 of the CMGs based on the patient's primary reason
for rehabilitation care, age and functional status. There are also five
special CMGs to account for very short stays and for patients who
expire in the IRF.
The CART method is useful in identifying statistical relationships
among data and, using these relationships, constructing a predictive
model for organizing and separating a large set of data into smaller,
similar groups. CART ensures that the proposed CMGs recognize that
patients with clinically distinct resource needs are appropriately
grouped in the case-mix
[[Page 20992]]
classification system. CART is an iterative process that creates
initial groups of patients then searches for ways to split the initial
groups to further decrease the clinical and cost variances within a
group and increase the explanatory power of the CMGs.
As noted previously, the data items from the Quality Indicators
section of the IRF-PAI contain slightly different information and
utilize a different rating system than the items collected on the FIM
\TM\ instrument. Thus, we have to update the IRF case-mix
classification system to ensure that IRF PPS payments reflect as
closely as possible the costs of care when we convert to using the
admission data items from the Quality Indicators section of the IRF-
PAI. To convert from using the FIM \TM\ items to using the data items
from the Quality Indicators section of the IRF-PAI, RTI first had to
identify which quality indicator data items would be the best
predictors of cost, as previously discussed. Then, RTI used CART
analysis to modify the CMG definitions to reflect the use of the
different assessment items.
To develop CMGs based on the data items from the Quality Indicators
section of the IRF-PAI, RTI used CART analysis to divide patients into
payment groups based on similarities in their clinical characteristics
and relative costs. As part of this analysis, RTI imposed certain
restraints on these groupings to decrease the resulting number of CMGs
(to ensure that the payment system did not become unduly complicated).
For a more detailed discussion of these analyses or for more
information on the development of the CMGs, we refer readers to the
technical report, ``Analyses to Inform the Potential Use of
Standardized Patient Assessment Data Elements in the Inpatient
Rehabilitation Facility Prospective Payment System'', available at
https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/InpatientRehabFacPPS/Research.html.
In developing the revised CMGs, RTI's analysis indicated that RIC
16 and RIC 17 should incorporate the CMGs shown in Table 8, based on
motor score and cognitive function, derived from the memory and
communication scores.
Table 8--CART-Based CMGs for RIC 16 (Pain Syndrome) and RIC 17 (Major Multiple Trauma Without Brain or Spinal Cord Injury)
--------------------------------------------------------------------------------------------------------------------------------------------------------
RIC CMG Cases Average Cost Rule 1 Rule 2 Rule 3
--------------------------------------------------------------------------------------------------------------------------------------------------------
16.................................. 1 255 $ 11,088.65 Motor >= 70............ ....................... ................
16.................................. 2 270 13,402.22 Motor < 70............. Motor >= 61............ ................
16.................................. 3 188 14,775.04 Motor < 61............. Cognition < 7.......... ................
16.................................. 4 260 16,806.16 Motor < 61............. Cognition >= 7......... ................
17.................................. 1 1149 12,911.91 Motor >= 62............ ....................... ................
17.................................. 2 1557 15,504.35 Motor < 62............. Motor >= 51............ ................
17.................................. 3 624 17,273.01 Motor < 51............. Motor >= 47............ ................
17.................................. 4 927 19,209.23 Motor < 47............. Motor >= 39............ ................
17.................................. 5 289 20,245.80 Motor < 51............. Motor < 39............. Cognition < 8
17.................................. 6 205 23,465.77 Motor < 51............. Motor < 39............. Cognition >= 8
--------------------------------------------------------------------------------------------------------------------------------------------------------
We considered proposing to revise the CMGs for RIC 16 and RIC 17 as
shown above. However, these CMGs indicate higher costs for patients
with no cognitive impairment as compared to those with any level of
impairment. As this unexpected result may be driven by small sample
size, we are proposing to combine CMG 03 and 04 for RIC 16 and to
combine CMG 05 and 06 for RIC 17 as shown in Table 9.
Table 9 contains the proposed new CMGs and their respective
descriptions, including the functional status scores and age that we
are proposing to use to classify discharges into CMGs. Table 9 also
contains the proposed CMG relative weights and average length of stay
values for the proposed CMGs. We are not proposing any changes to
methodology used to determine the CMG relative weights that was
finalized in the FY 2002 IRF final rule (66 FR 41351 through 41357) and
revised in the FY 2009 IRF final rule (73 FR 46372 through 46374). For
more information on the methodology used to calculate the CMG relative
weights please refer to section III. of this proposed rule.
Table 9--Proposed Revised Relative Weights and Average Length of Stay Values for the Proposed Case-Mix Groups
--------------------------------------------------------------------------------------------------------------------------------------------------------
Relative weight Average length of stay
CMG Description -------------------------------------------------------------------------------------------------
CMG (M=motor, A=age) No comorbidity No comorbidity
Tier 1 Tier 2 Tier 3 tier Tier 1 Tier 2 Tier 3 tier
--------------------------------------------------------------------------------------------------------------------------------------------------------
0101............................. Stroke M >= 77..... 1.0570 0.9232 0.8492 0.8050 11 11 10 10
0102............................. Stroke M < 77 and M 1.3370 1.1678 1.0741 1.0182 13 13 12 12
>= 68.
0103............................. Stroke M < 68 and M 1.6848 1.4715 1.3535 1.2831 15 16 15 15
>= 55.
0104............................. Stroke M < 55 and M 2.1484 1.8764 1.7260 1.6361 19 20 19 19
>= 47.
0105............................. Stroke M < 47 and A 2.4137 2.1081 1.9391 1.8382 22 22 21 20
>= 85.
0106............................. Stroke M < 47 and A 2.7956 2.4417 2.2460 2.1291 26 27 24 23
< 85.
0201............................. Traumatic Brain 1.2418 1.0426 0.9376 0.8708 12 12 11 11
Injury M >= 73.
0202............................. Traumatic Brain 1.4929 1.2534 1.1272 1.0468 14 14 13 12
Injury M < 73 and
M >= 64.
0203............................. Traumatic Brain 1.7699 1.4859 1.3363 1.2411 16 17 15 14
Injury M < 64 and
M >= 51.
0204............................. Traumatic Brain 2.1753 1.8263 1.6424 1.5254 21 20 18 17
Injury M < 51 and
M >= 36.
0205............................. Traumatic Brain 2.6959 2.2634 2.0355 1.8904 36 24 22 19
Injury M < 36.
0301............................. Non-Traumatic Brain 1.2192 1.0096 0.9348 0.8735 11 11 11 10
Injury M >= 70.
0302............................. Non-Traumatic Brain 1.5403 1.2755 1.1810 1.1034 14 14 13 13
Injury M < 70 and
M >= 57.
[[Page 20993]]
0303............................. Non-Traumatic Brain 1.8496 1.5316 1.4182 1.3251 17 16 15 15
Injury M < 57 and
M >= 45.
0304............................. Non-Traumatic Brain 2.0666 1.7113 1.5846 1.4806 20 18 17 16
Injury M < 45 and
A >= 79.
0305............................. Non-Traumatic Brain 2.2755 1.8843 1.7447 1.6302 21 21 18 17
Injury M < 45 and
A < 79.
0401............................. Traumatic Spinal 1.2999 1.0952 1.0122 0.9370 13 12 12 11
Cord Injury M >=
64.
0402............................. Traumatic Spinal 1.6630 1.4011 1.2949 1.1987 15 15 15 14
Cord Injury M < 64
and M >= 57.
0403............................. Traumatic Spinal 1.9672 1.6574 1.5318 1.4180 15 18 17 16
Cord Injury M < 57
and M >= 46.
0404............................. Traumatic Spinal 2.6209 2.2082 2.0408 1.8892 25 24 23 21
Cord Injury M < 46
and M >= 36.
0405............................. Traumatic Spinal 3.1923 2.6895 2.4857 2.3010 34 29 27 24
Cord Injury M < 36
and A < 63.
0406............................. Traumatic Spinal 3.6963 3.1142 2.8782 2.6643 46 34 28 29
Cord Injury M < 36
and A >= 63.
0501............................. Non-Traumatic 1.1291 0.9068 0.8382 0.7642 10 11 10 9
Spinal Cord Injury
M >= 75.
0502............................. Non-Traumatic 1.4096 1.1322 1.0464 0.9541 14 13 12 11
Spinal Cord Injury
M < 75 and M >= 63.
0503............................. Non-Traumatic 1.7905 1.4381 1.3292 1.2119 16 15 15 14
Spinal Cord Injury
M < 63 and M >= 52.
0504............................. Non-Traumatic 2.2191 1.7823 1.6473 1.5020 21 19 18 17
Spinal Cord Injury
M < 52 and M >= 44.
0505............................. Non-Traumatic 2.8377 2.2792 2.1065 1.9206 27 24 22 21
Spinal Cord Injury
M < 44.
0601............................. Neurological M >= 1.3205 1.0500 0.9795 0.8873 12 12 11 10
69.
0602............................. Neurological M < 69 1.6324 1.2981 1.2109 1.0969 14 14 13 13
and M >= 57.
0603............................. Neurological M < 57 1.9170 1.5244 1.4220 1.2882 16 16 15 14
and M >= 47.
0604............................. Neurological M < 47 2.2218 1.7667 1.6481 1.4929 20 18 17 16
0701............................. Fracture of Lower 1.1960 0.9851 0.9487 0.8595 11 11 11 10
Extremity M >= 67.
0702............................. Fracture of Lower 1.5308 1.2608 1.2142 1.1001 14 14 14 13
Extremity M < 67
and M >= 55.
0703............................. Fracture of Lower 1.8510 1.5245 1.4682 1.3302 17 17 16 15
Extremity M < 55
and M >= 45.
0704............................. Fracture of Lower 2.0790 1.7124 1.6491 1.4941 18 18 18 17
Extremity M < 45.
0801............................. Replacement of 1.0475 0.8892 0.8044 0.7437 10 10 9 9
Lower Extremity
Joint M >= 67.
0802............................. Replacement of 1.2925 1.0972 0.9926 0.9176 12 12 11 11
Lower Extremity
Joint M < 67 and M
>= 56.
0803............................. Replacement of 1.5469 1.3132 1.1880 1.0982 15 15 13 12
Lower Extremity
Joint M < 56 and M
>= 47.
0804............................. Replacement of 1.8517 1.5719 1.4220 1.3146 16 17 15 15
Lower Extremity
Joint M < 47.
0901............................. Other Orthopedic M 1.1749 0.9376 0.8792 0.8083 11 11 10 10
>= 69.
0902............................. Other Orthopedic M 1.5103 1.2052 1.1302 1.0390 13 14 13 12
< 69 and M >= 55.
0903............................. Other Orthopedic M 1.8117 1.4457 1.3557 1.2463 15 16 15 14
< 55 and M >= 47.
0904............................. Other Orthopedic M 2.0393 1.6273 1.5261 1.4029 17 17 16 16
< 47.
1001............................. Amputation Lower 1.3231 1.1340 1.0276 0.9487 12 13 12 11
Extremity M >= 67.
1002............................. Amputation Lower 1.6372 1.4032 1.2715 1.1739 15 15 14 14
Extremity M < 67
and M >= 59.
1003............................. Amputation Lower 1.8961 1.6251 1.4726 1.3596 17 16 16 15
Extremity M < 59
and M >= 49.
1004............................. Amputation Lower 2.1617 1.8527 1.6788 1.5500 19 20 18 17
Extremity M < 49.
1101............................. Amputation Non- 1.8322 1.3022 1.3022 1.0585 15 14 13 12
Lower Extremity.
1201............................. Osteoarthritis M >= 1.3071 1.0757 0.9575 0.8777 11 12 11 11
65.
1202............................. Osteoarthritis M < 1.6787 1.3816 1.2297 1.1273 14 15 14 13
65 and M >= 49.
1203............................. Osteoarthritis M < 1.9145 1.5756 1.4024 1.2857 16 16 16 15
49.
1301............................. Rheumatoid Other 1.1111 0.9753 0.9076 0.8570 10 11 10 11
Arthritis M >= 69.
1302............................. Rheumatoid Other 1.3176 1.1567 1.0764 1.0164 12 13 12 12
Arthritis M < 69
and M >= 58.
1303............................. Rheumatoid Other 1.6691 1.4652 1.3635 1.2875 13 17 14 14
Arthritis M < 58
and A >= 72.
1304............................. Rheumatoid Other 1.7642 1.5487 1.4412 1.3609 14 17 15 15
Arthritis M < 58
and A < 72.
1401............................. Cardiac M >= 70.... 1.1839 0.9920 0.8991 0.8023 11 11 10 9
1402............................. Cardiac M < 70 and 1.4635 1.2263 1.1115 0.9918 13 13 12 11
M >= 59.
1403............................. Cardiac M < 59 and 1.7034 1.4272 1.2936 1.1544 15 15 14 13
M >= 51.
1404............................. Cardiac M < 51..... 1.9704 1.6510 1.4964 1.3353 18 17 16 14
1501............................. Pulmonary M >= 84.. 1.0149 0.9214 0.8346 0.7907 7 10 9 9
1502............................. Pulmonary M < 84 1.2323 1.1187 1.0133 0.9601 11 12 11 10
and M >= 74.
[[Page 20994]]
1503............................. Pulmonary M < 74 1.4557 1.3215 1.1970 1.1341 13 13 12 12
and M >= 59.
1504............................. Pulmonary M < 59 1.7464 1.5853 1.4360 1.3606 15 15 14 14
and M >= 46.
1505............................. Pulmonary M < 46... 2.0273 1.8404 1.6670 1.5794 20 17 15 16
1601............................. Pain Syndrome M >= 1.2293 0.9242 0.8776 0.7774 10 11 10 10
70.
1602............................. Pain Syndrome M < 1.5216 1.1439 1.0863 0.9622 12 12 12 11
70 and M >= 61.
1603............................. Pain Syndrome M < 1.8391 1.3826 1.3129 1.1630 13 15 14 13
61.
1701............................. Major Multiple 1.4355 1.1154 1.0668 0.9504 14 13 12 11
Trauma Without
Brain or Spinal
Cord Injury M >=
62.
1702............................. Major Multiple 1.7939 1.3938 1.3330 1.1876 16 15 15 14
Trauma Without
Brain or Spinal
Cord Injury M < 62
and M >= 51.
1703............................. Major Multiple 2.0059 1.5585 1.4906 1.3280 17 16 16 15
Trauma Without
Brain or Spinal
Cord Injury M < 51
and M >= 47.
1704............................. Major Multiple 2.1848 1.6975 1.6236 1.4465 19 18 17 16
Trauma Without
Brain or Spinal
Cord Injury M < 47
and M >= 39.
1705............................. Major Multiple 2.4250 1.8841 1.8020 1.6055 21 21 19 17
Trauma Without
Brain or Spinal
Cord Injury M < 39.
1801............................. Major Multiple 1.1980 1.0351 0.8752 0.8233 13 11 10 10
Trauma With Brain
or Spinal Cord
Injury M >= 72.
1802............................. Major Multiple 1.5335 1.3250 1.1204 1.0539 14 16 12 12
Trauma With Brain
or Spinal Cord
Injury M < 72 and
M >= 58.
1803............................. Major Multiple 2.0608 1.7806 1.5056 1.4162 23 19 16 16
Trauma With Brain
or Spinal Cord
Injury M < 58 and
M >= 42.
1804............................. Major Multiple 2.9220 2.5248 2.1348 2.0081 34 25 23 22
Trauma With Brain
or Spinal Cord
Injury M < 42.
1901............................. Guillain- 1.5211 1.2331 1.1228 1.0834 16 15 12 13
Barr[eacute] M >=
54.
1902............................. Guillain- 3.4558 2.8014 2.5507 2.4613 39 28 27 27
Barr[eacute] M <
54.
2001............................. Miscellaneous M >= 1.2339 1.0047 0.9349 0.8447 11 11 10 10
70.
2002............................. Miscellaneous M < 1.5240 1.2410 1.1547 1.0433 14 13 12 12
70 and M >= 58.
2003............................. Miscellaneous M < 1.7837 1.4525 1.3515 1.2211 16 15 14 14
58 and M >= 49.
2004............................. Miscellaneous M < 2.0373 1.6589 1.5436 1.3947 19 17 16 15
49.
2101............................. Burns.............. 1.9058 1.5390 1.5118 1.3015 22 16 16 14
5001............................. Short-stay cases, ......... ......... ......... 0.1801 ......... ......... ......... 3
length of stay is
3 days or fewer.
5101............................. Expired, ......... ......... ......... 0.6240 ......... ......... ......... 7
orthopedic, length
of stay is 13 days
or fewer.
5102............................. Expired, ......... ......... ......... 1.7071 ......... ......... ......... 18
orthopedic, length
of stay is 14 days
or more.
5103............................. Expired, not ......... ......... ......... 0.6795 ......... ......... ......... 7
orthopedic, length
of stay is 15 days
or fewer.
5104............................. Expired, not ......... ......... ......... 2.1069 ......... ......... ......... 21
orthopedic, length
of stay is 16 days
or more.
--------------------------------------------------------------------------------------------------------------------------------------------------------
The following would be the most significant differences between the
current CMGs and the proposed revised CMGs:
There would be fewer CMGs than before (88 instead of 92
currently).
There would be fewer CMGs in RICs 1, 2, 5, 8, 11, and 19,
while there would be more CMGs in RICs 3, 4, 10, 13, 15, 17, and 18.
A patient's age would affect assignment for CMGs in RICs
1, 3, 4, and 13 whereas it currently affects assignment for CMGs in
RICs 1, 4, and 8.
We are proposing to utilize the CMGs based on the data items from
the Quality Indicators section of the IRF-PAI to classify IRF patients
for purposes of establishing payment under the IRF PPS beginning with
FY 2020. We are proposing to implement these revisions in a budget
neutral manner. For more information on the specific impacts of this
proposal, we refer readers to Table 10. We are also proposing to update
the CMG relative weights and average length of stay values associated
with the proposed CMGs based on the data items from the Quality
Indicators section of the IRF-PAI. We believe it is appropriate to
update the CMGs and relative weights for FY 2020 to better align IRF
payments with the costs of caring for IRF patients, given the new
information that is captured by the data items from the Quality
Indicators section of the IRF-PAI. Additionally, changes in treatment
patterns, technology, case-mix, and other factors affecting the
relative use of resources in IRFs since the current CMGs were last
revised, likely require an update to the classification system.
[[Page 20995]]
TABLE 10--Distributional Effects of the Proposed Changes to the CMGs
----------------------------------------------------------------------------------------------------------------
Facility classification Number of IRFs Number of Percent Change
--------------------------------------------------------------------------------- Cases in Mean
---------------- Payment
(1) (2) ---------------
(3) (4)
----------------------------------------------------------------------------------------------------------------
Total........................................................... 1,111 369,684 0
Urban unit...................................................... 702 155,121 3
Rural unit...................................................... 133 20,074 3
Urban hospital.................................................. 265 190,431 -2
Rural hospital.................................................. 11 4,058 -1
Urban For-Profit................................................ 339 185,702 -2
Rural For-Profit................................................ 37 7,388 2
Urban Non-Profit................................................ 529 137,321 2
Rural Non-Profit................................................ 84 13,338 2
Urban Government................................................ 99 22,529 3
Rural Government................................................ 23 3,406 4
Urban........................................................... 967 345,552 0
Rural........................................................... 144 24,132 2
Urban by region:
Urban New England........................................... 29 15,514 -2
Urban Middle Atlantic....................................... 134 48,194 -2
Urban South Atlantic........................................ 144 69,040 0
Urban East North Central.................................... 173 46,132 3
Urban East South Central.................................... 56 24,250 -1
Urban West North Central.................................... 73 18,333 0
Urban West South Central.................................... 180 75,717 -1
Urban Mountain.............................................. 81 26,683 -1
Urban Pacific............................................... 97 21,689 4
Rural by region:
Rural New England........................................... 4 1,048 -6
Rural Middle Atlantic....................................... 11 1,244 3
Rural South Atlantic........................................ 16 3,491 -1
Rural East North Central.................................... 21 3,599 2
Rural East South Central.................................... 21 4,174 4
Rural West North Central.................................... 21 2,829 2
Rural West South Central.................................... 40 6,765 4
Rural Mountain.............................................. 7 722 4
Rural Pacific............................................... 3 260 2
Teaching status:
Non-teaching................................................ 842 303,102 -1
Teaching.................................................... 269 66,582 2
Bed Size:
< 25........................................................ 563 85,835 3
25-49....................................................... 314 107,858 1
50-74....................................................... 134 85,923 -1
75-99....................................................... 58 48,564 -2
100-124..................................................... 19 14,527 -2
125+........................................................ 23 26,977 -1
----------------------------------------------------------------------------------------------------------------
Table 10 shows how we estimate that the application of the proposed
revisions to the case-mix system for FY 2020 would affect particular
groups. Table 10 categorizes IRFs by geographic location, including
urban or rural location, and location for CMS's 9 Census divisions 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 bed size. The proposed changes
to the case-mix classification system are expected to affect the
overall distribution of payments across CMGs. Note that, because we
propose to implement the revisions to the case-mix classification
system in a budget-neutral manner, total estimated aggregate payments
to IRFs would not be affected as a result of the proposed revisions to
the CMGs. However, these proposed revisions may affect the distribution
of payments across CMGs.
We invite public comment on the proposed refinements to the CMGs
beginning with FY 2020, that is, for all discharges beginning on or
after October 1, 2019.
VIII. Proposed Revisions to Certain IRF Coverage Requirements Beginning
With FY 2019
We are committed to transforming the health care delivery system,
and the Medicare program, by putting an additional focus on patient-
centered care and working with providers and physicians to improve
patient outcomes. As an agency, we recognize it is imperative that we
develop and implement policies that allow providers and physicians to
focus the majority of their time treating patients rather than
completing paperwork. Moreover, we believe it is essential for us to
reexamine current regulations and administrative requirements, to
assure that we are not
[[Page 20996]]
placing unnecessary burden on providers.
We believe the agency initiative of treating patients over
paperwork will improve patient outcomes, decrease provider costs, and
ensure that patients and providers are making the best heath care
choices possible. In the FY 2018 IRF PPS proposed rule (82 FR 20743),
we included a request for information (RFI) to solicit comments from
stakeholders requesting information on CMS flexibilities and
efficiencies. The purpose of the RFI was to receive feedback regarding
ways in which we could reduce burden for hospitals and physicians,
improve quality of care, decrease costs and ensure that patients
receive the best care. We received comments from IRF industry
associations, state and national hospital associations, industry groups
representing hospitals, and individual IRF providers in response to the
solicitation. We are appreciative of the feedback. As discussed in more
detail in each of the proposals below, we are in some cases using the
commenters' specific suggestions to propose changes to regulatory
requirements to alleviate provider burden. In other cases, however, we
are proposing additional changes to the regulatory requirements that we
believe will be responsive to stakeholder feedback and helpful to
providers in reducing administrative burden.
In the FY 2010 IRF PPS final rule (74 FR 39788 through 39798), we
updated the IRF coverage criteria requirements to reflect changes that
had occurred in medical practice since the IRF PPS was first
implemented in 2002. IRF care is only considered by Medicare to be
reasonable and necessary under section 1862(a)(1) of the Act if the
patient meets all of the IRF coverage requirements outlined in Sec.
412.622(a)(3), (4), and (5). Failure to meet the IRF coverage criteria
in a particular case will result in denial of the IRF claim. The IRF
coverage requirements have not been updated since they became effective
on January 1, 2010. To reduce unnecessary burden on IRF providers and
physicians, we are proposing to revise the current IRF coverage
criteria as suggested by some of the comments received in response to
the RFI. Specifically, we are focused on reducing documentation
requirements that we believe have become overly burdensome to IRF
providers over time.
A. Proposed Changes to the Physician Supervision Requirement Beginning
With FY 2019
In response to the RFI, several commenters suggested that we
consider decreasing the number of required weekly face-to-face visits
that the rehabilitation physician must complete. Commenters suggested
that the decrease in visits would not only assist with reducing the
documentation burden on rehabilitation physicians, but it would also
afford the rehabilitation physician more time to focus on higher-
acuity, more complex patients resulting in improved outcomes and lower
readmission rates. Additionally, we received comments suggesting that
we consider either eliminating the post-admission physician evaluation
altogether in an effort to reduce paperwork and duplicative
requirements or that we allow the post-admission physician evaluation
to count as one of the required face-to-face visits completed by the
rehabilitation physician. We agree with the commenters and are
proposing to move forward with a combination of these two suggested
ideas in order to reduce unnecessary burden on rehabilitation
physicians.
Under Sec. 412.622(a)(3)(iv), for an IRF claim to be considered
reasonable and necessary under section 1862(a)(1) of the Act, there
must be a reasonable expectation at the time of the patient's admission
to the IRF that the patient requires physician supervision by a
rehabilitation physician, defined as a licensed physician with
specialized training and experience in inpatient rehabilitation. The
requirement for medical supervision means that the rehabilitation
physician must conduct face-to-face visits with the patient at least 3
days per week throughout the patient's stay in the IRF to assess the
patient both medically and functionally, as well as modify the course
of treatment as needed to maximize the patient's capacity to benefit
from the rehabilitation process. Under Sec. 412.622(a)(4)(ii), to
document that each patient for whom the IRF seeks payment is reasonably
expected to meet all of the requirements in Sec. 412.622(a)(3) at the
time of admission, the patient's medical record at the IRF must contain
a post-admission physician evaluation that meets all of the
requirements specified in the regulation. For more information, we
refer readers to the Medicare Benefit Policy Manual, chapter 1,
sections 110.1.2 and 110.2.4 (Pub. 100-02), which can be downloaded
from the CMS website at https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/internet-Only-Manuals-IOMs.html.
While the purpose of the physician supervision requirement is to
ensure that the patient's medical and functional statuses are being
continuously monitored as the patient's overall plan of care is being
carried out, the purpose of the post-admission physician evaluation is
to document the patient's status on admission, identify any relevant
changes that may have occurred since the preadmission screening, and
provide the rehabilitation physician with the necessary information to
begin development of the patient's overall plan of care. When the
coverage criteria were initially implemented, we believed that the
post-admission physician evaluation should not be used as a way to
fulfill one of the face-to-face visits required under Sec.
412.622(a)(3)(iv) because we considered them to be different types of
assessments. We also believed it was in the patient's best interest to
be seen by a rehabilitation physician at least four times in the first
week of the IRF admission when the patient is in the most critical
phase of their recovery process.
While we continue to believe that the post-admission physician
evaluation and the face-to-face physician visits are two different
types of assessments, after reevaluating these coverage criteria, we
believe that the rehabilitation physician should have the flexibility
to assess the patient and conduct the post-admission physician
evaluation during one of the three face-to-face physician visits
required in the first week of the IRF admission. Additionally, based on
the comments that we received in response to the RFI, we believe that
it should be the responsibility of the rehabilitation physician to use
his or her best clinical judgment to determine whether the patient
needs to be seen more than three times in the first week of the IRF
admission. Therefore, allowing these two requirements to be met
concurrently would reduce redundancy and regulatory burden while still
ensuring adequate care to the patient.
Therefore, we are proposing to modify Sec. 412.622(a)(3)(iv) to
provide that the post-admission physician evaluation required under
Sec. 412.622(a)(4)(ii) may count as one of the face-to-face physician
visits required under Sec. 412.622(a)(3)(iv) beginning with FY 2019,
that is, for all IRF discharges beginning on or after October 1, 2018.
To clarify, we are not proposing to modify Sec. 412.622(a)(4)(ii),
including the 24-hour timeframe within which the post-admission
physician evaluation requirement must be completed.
We invite public comment on our proposal to modify Sec.
412.622(a)(3)(iv) to provide that the post-admission physician
evaluation required under Sec. 412.622(a)(4)(ii) may count as one of
the face-to-face physician visits required under Sec.
412.622(a)(3)(iv) beginning with
[[Page 20997]]
FY 2019, that is, for all IRF discharges beginning on or after October
1, 2018.
B. Proposed Changes to the Interdisciplinary Team Meeting Requirement
Beginning With FY 2019
Under Sec. 412.622(a)(5), for an IRF claim to be considered
reasonable and necessary under section 1862(a)(1) of the Act, the
patient must require an interdisciplinary team approach to care, as
evidenced by documentation in the patient's medical record of weekly
interdisciplinary team meetings that meet all of the requirements
specified in the regulation. Among those requirements are that the team
meetings must be led by a rehabilitation physician and that the results
and findings of the team meetings, and the concurrence by the
rehabilitation physician with those results and findings, are retained
in the patient's medical record. For more information, we refer readers
to the Medicare Benefit Policy Manual, chapter 1, section 110.2.5 (Pub.
100-02), which can be downloaded from the CMS website at https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/internet-Only-Manuals-IOMs.html.
We understand that it may occasionally be difficult for the
rehabilitation physician to be physically present in the team meetings
and for that reason we have always instructed providers that the
rehabilitation physician may participate in the interdisciplinary team
meetings by telephone as long as it is clearly demonstrated in the
documentation of the IRF medical record that the meeting was led by the
rehabilitation physician. However, with the advancements in technology
since the inception of the IRF coverage criteria in 2010, we believe it
is appropriate to allow rehabilitation physicians to lead the meeting
remotely via another mode of communication, such as video or telephone
conferencing. Therefore, we are proposing to amend Sec.
412.622(a)(5)(A) to expressly provide that the rehabilitation physician
may lead the interdisciplinary meeting remotely without any additional
documentation requirements. We believe this proposed change will allow
time management flexibility and convenience for all rehabilitation
physicians, especially those located in rural areas who may need to
travel greater distances between facilities. At this time, we are
proposing for this change to apply only to the rehabilitation physician
and not the other required interdisciplinary team meeting attendees to
give IRFs time to adapt to this proposed change. However, we may
consider expanding this policy to include other interdisciplinary team
meeting attendees in future rulemaking.
Therefore, we are proposing to amend Sec. 412.622(a)(5)(A) to
expressly provide that the rehabilitation physician may lead the
interdisciplinary meeting remotely without any additional documentation
requirements. We believe that other communication modes such as video
and telephone conferencing are acceptable ways of leading the
interdisciplinary team meeting. Please note that the requirement that
the rehabilitation physician must lead the interdisciplinary team
meeting will remain the same.
We invite public comment on our proposal to amend Sec.
412.622(a)(5)(A) to expressly provide that the rehabilitation physician
may lead the interdisciplinary team meeting remotely without additional
documentation requirements.
C. Proposed Changes to the Admission Order Documentation Requirement
Beginning With FY 2019
In response to the RFI, several commenters suggest that in general,
we should consider eliminating duplicative requirements. Commenters
stated that duplicative requirements placed unnecessary administrative
burden on facilities trying to make sure they comply with each nuance
of each requirement. We agree with the commenters and for that reason
we are proposing to remove Sec. 412.606(a) as we believe that IRFs are
already required to fulfill this requirement under Sec. Sec.
482.12(c), 482.24(c), and 412.3.
Under Sec. 412.606(a), at the time that each Medicare Part A FFS
patient is admitted, the IRF must have physician orders for the
patient's care during the time the patient is hospitalized. For more
information, we refer readers to the Medicare Benefit Policy Manual,
chapter 1, section 110.1.4 (Pub. 100-02), which can be downloaded from
the CMS website at https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/internet-Only-Manuals-IOMs.html.
Additionally, under Sec. 412.3(a) of the hospital payment
requirements, for the purposes of payment under Medicare Part A, an
individual is considered an inpatient of a hospital, including a
critical access hospital, if formally admitted as an inpatient under an
order for inpatient admission by a physician or other qualified
practitioner in accordance with Sec. Sec. 412.3, 482.24(c), 482.12(c),
and 485.638(a)(4)(iii) for a critical access hospital.
In an effort to reduce duplicative requirements, we believe that if
we remove the admission order documentation requirement at Sec.
412.606(a), this requirement would continue to be appropriately
addressed through the enforcement of Sec. 482.12(c) and Sec.
482.24(c) of the hospital conditions of participation (CoPs), as well
as the hospital admission order payment requirements at Sec. 412.3.
IRFs are responsible for meeting all of the inpatient hospital CoPs and
the hospital admission order payment requirements at Sec. 412.3, and,
therefore, we believe that by removing the admission order
documentation requirement at Sec. 412.606(a), we would be reducing
both regulatory redundancy as well as administrative burden.
Therefore, we are proposing to amend Sec. 412.606(a) to remove the
admission order documentation requirement beginning with FY 2019, that
is, for all IRF discharges beginning on or after October 1, 2018. IRFs
would continue to meet the requirements at Sec. Sec. 482.12(c),
482.24(c), and 412.3.
We invite public comment on our proposal to amend Sec. 412.606(a)
to remove the admission order documentation requirement beginning with
FY 2019, that is, for all IRF discharges beginning on or after October
1, 2018.
D. Solicitation of Comments Regarding Additional Changes to the
Physician Supervision Requirement
As discussed in section VIII.A of this proposed rule, under Sec.
412.622(a)(3)(iv), for an IRF claim to be considered reasonable and
necessary under section 1862(a)(1) of the Act, there must be a
reasonable expectation at the time of the patient's admission to the
IRF that the patient requires physician supervision by a rehabilitation
physician, defined as a licensed physician with specialized training
and experience in inpatient rehabilitation. The requirement for medical
supervision means that the rehabilitation physician must conduct face-
to-face visits with the patient at least 3 days per week throughout the
patient's stay in the IRF to assess the patient both medically and
functionally, as well as to modify the course of treatment as needed to
maximize the patient's capacity to benefit from the rehabilitation
process. For more information, we refer readers to the Medicare Benefit
Policy Manual, chapter 1, section 110.2.4 (Pub. 100-02), which can be
downloaded from the CMS website at https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/internet-Only-Manuals-IOMs.html.
When the IRF coverage criteria were initially implemented in 2010,
we
[[Page 20998]]
believed that the rehabilitation physician visits should be completed
face-to-face to ensure that the patient receives the most comprehensive
in-person care by a rehabilitation physician throughout the IRF stay.
As part of our efforts to assist in reducing unnecessary regulatory
burden on IRFs, this is an issue we would like to further explore. We
are interested in soliciting public comments on whether the
rehabilitation physician should have the flexibility to determine that
some of the IRF visits can be appropriately conducted remotely via
another mode of communication, such as video or telephone conferencing.
Given the level of complexity of IRF patients, we have some concerns
about whether this approach would have an impact on the quality of care
provided to IRF patients. To maintain the hospital level of care that
IRF patients require, we would continue to expect that the majority of
IRF physician visits would continue to be performed face-to-face.
However, we are interested in feedback from stakeholders on whether we
should allow a limited number of visits to be conducted remotely. In
order to better assist us in balancing the needs of the patient, as
well as retaining the hospital level quality of care provided in an IRF
with the goal of reducing the regulatory burden on rehabilitation
physicians, we are seeking feedback from stakeholders about potentially
amending the face-to-face visit requirement for rehabilitation
physicians. Specifically, we would appreciate feedback regarding the
following:
Do stakeholders believe that the rehabilitation physician
would be able to fully assess both the medical and functional needs and
progress of the patient remotely?
Would this assist facilities in rural areas where it may
be difficult to employ an abundance of physicians?
Do stakeholders believe that assessing the patient
remotely would affect the quality or intensity of the physician visit
in any way?
How many and what types of visits do stakeholders believe
should be able to be performed remotely?
From an operational standpoint, how would the remote visit
work?
What type of clinician would need to be present in the
room with the patient while the rehabilitation physician was in a
remote location?
Thus, to assist us in generating ideas and information for
analyzing potential refinements in this area, we are seeking feedback
from stakeholders on whether the rehabilitation physician should have
the flexibility to determine that some of the IRF visits can be
appropriately conducted remotely via another mode of communication,
such as video or telephone conferencing, while maintaining a hospital
level high quality of care for IRF patients.
E. Solicitation of Comments Regarding Changes to the Use of Non-
Physician Practitioners in Meeting the Requirements Under Sec.
412.622(a)(3), (4), and (5)
Several of the requirements under Sec. 412.622(a)(3), (4), and (5)
require documentation that a rehabilitation physician, defined as a
licensed physician with specialized training and experience in
inpatient rehabilitation, visited each patient admitted to an IRF and
performed an assessment of the patient. For example, under Sec.
412.622(a)(3)(iv), for an IRF claim to be considered reasonable and
necessary under section 1862(a)(1) of the Act, there must be a
reasonable expectation at the time of the patient's admission to the
IRF that the patient requires physician supervision by a rehabilitation
physician. The requirement for medical supervision means that the
rehabilitation physician must conduct face-to-face visits with the
patient at least 3 days per week throughout the patient's stay in the
IRF to assess the patient both medically and functionally, as well as
to modify the course of treatment as needed to maximize the patient's
capacity to benefit from the rehabilitation process. For more
information, please refer to the Medicare Benefit Policy Manual,
chapter 1, section 110.2.4 (Pub. 100-02), which can be downloaded from
the CMS website at https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/internet-Only-Manuals-IOMs.html.
In addition, under Sec. 412.622(a)(4)(ii), to document that each
patient for whom the IRF seeks payment is reasonably expected to meet
all of the requirements in Sec. 412.622(a)(3) at the time of
admission, the patient's medical record at the IRF must contain a post-
admission physician evaluation that must, among other requirements, be
completed by a rehabilitation physician within 24 hours of the
patient's admission to the IRF. For more information, we refer readers
to the Medicare Benefit Policy Manual, chapter 1, section 110.1.2 (Pub.
100-02), which can be downloaded from the CMS website at https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/internet-Only-Manuals-IOMs.html.
In the feedback that we received in response to the RFI, it was
suggested that we consider amending the requirements in Sec.
412.622(a)(3)(iv) and Sec. 412.622(a)(4)(ii) to enable IRFs to expand
their use of non-physician practitioners (physician assistants and
nurse practitioners) to fulfill some of the requirements that
rehabilitation physicians are currently required to complete. The
commenters suggested that expanding the use of non-physician
practitioners in meeting some of the IRF requirements would ease the
documentation burden on rehabilitation physicians.
In exploring this issue, we have questions about whether non-
physician practitioners have the specialized training in inpatient
rehabilitation that would enable them to adequately assess the
interaction between patients' medical and functional care needs in an
IRF. Another concern that has been raised regarding this issue, is
whether IRF patients will continue to receive the hospital level and
quality of care that is necessary to treat such complex conditions.
To better assist us in balancing the needs of the patient with the
desire to reduce the regulatory burden on rehabilitation physicians, we
are seeking feedback from stakeholders about potentially allowing IRFs
to expand their use of non-physician practitioners to fulfill some of
the requirements that rehabilitation physicians are currently required
to complete. Specifically, we would appreciate feedback regarding the
following:
Do non-physician practitioners have the specialized
training in rehabilitation that they need to have to assess IRF
patients both medically and functionally?
How would the non-physician practitioner's credentials be
documented and monitored to ensure that IRF patients are receiving high
quality care?
Are non-physician practitioners required to do rotations
in inpatient rehabilitation facilities as part of their training, or
could this be added to their training programs in the future?
Do stakeholders believe that utilizing non-physician
practitioners to fulfill some of the requirements that are currently
required to be completed by a rehabilitation physician would have an
impact of the quality of care for IRF patients?
Thus, to assist us in generating ideas and information for
analyzing potential refinements in this area, we are seeking feedback
from stakeholders on the ways in which the role of non-physician
practitioners could be expanded in the IRF setting while maintaining a
hospital
[[Page 20999]]
level high quality of care for IRF patients.
IX. Proposed Revisions and Updates to the IRF Quality Reporting Program
(QRP)
A. Background
The Inpatient Rehabilitation Facility Quality Reporting Program
(IRF QRP) is authorized by section 1886(j)(7) of the Act, and it
applies to freestanding IRFs, as well as inpatient rehabilitation units
of hospitals or critical access hospitals (CAHs) paid by Medicare under
the IRF PPS. Under the IRF QRP, the Secretary reduces the annual
increase factor for discharges occurring during such fiscal year by 2
percentage points for any IRF that does not submit data in accordance
with the requirements established by the Secretary. For more
information on the background and statutory authority for the IRF QRP,
we refer readers to the FY 2012 IRF PPS final rule (76 FR 47873 through
47874), the CY 2013 Hospital Outpatient Prospective Payment System/
Ambulatory Surgical Center (OPPS/ASC) Payment Systems and Quality
Reporting Programs final rule (77 FR 68500 through 68503), the FY 2014
IRF PPS final rule (78 FR 47902), the FY 2015 IRF PPS final rule (79 FR
45908), the FY 2016 IRF PPS final rule (80 FR 47080 through 47083), the
FY 2017 IRF PPS final rule (81 FR 52080 through 52081), and the FY 2018
IRF PPS final rule (82 FR 36269 through 36270).
Although we have historically used the preamble to the IRF PPS
proposed and final rules each year to remind stakeholders of all
previously finalized program requirements, we have concluded that
repeating the same discussion each year is not necessary for every
requirement, especially if we have codified it in our regulations.
Accordingly, the following discussion is limited as much as possible to
a discussion of our proposals for future years of the IRF QRP, and
represents the approach we intend to use in our rulemakings for this
program going forward.
B. General Considerations Used for the Selection of Measures for the
IRF QRP
1. Background
For a detailed discussion of the considerations we historically
used for the selection of IRF QRP quality, resource use, and others
measures, we refer readers to the FY 2016 IRF PPS final rule (80 FR
47083 through 47084).
2. Accounting for Social Risk Factors in the IRF QRP
In the FY 2018 IRF PPS final rule (82 FR 36273 through 36274), we
discussed the importance of improving beneficiary outcomes including
reducing health disparities. We also discussed our commitment to
ensuring that medically complex patients, as well as those with social
risk factors, receive excellent care. We discussed how studies show
that social risk factors, such as being near or below the poverty level
as determined by HHS, belonging to a racial or ethnic minority group,
or living with a disability, can be associated with poor health
outcomes and how some of this disparity is related to the quality of
health care.\3\ Among our core objectives, we aim to improve health
outcomes, attain health equity for all beneficiaries, and ensure that
complex patients as well as those with social risk factors receive
excellent care. Within this context, reports by the Office of the
Assistant Secretary for Planning and Evaluation (ASPE) and the National
Academy of Medicine have examined the influence of social risk factors
in our value-based purchasing programs.\4\ As we noted in the FY 2018
IRF PPS final rule (82 FR 36273 through 36274), ASPE's report to
Congress, which was required by the IMPACT Act, found that, in the
context of value-based purchasing programs, dual eligibility was the
most powerful predictor of poor health care outcomes among those social
risk factors that they examined and tested. ASPE is continuing to
examine this issue in its second report required by the IMPACT Act,
which is due to Congress in the fall of 2019. In addition, as we noted
in the FY 2018 IPPS/LTCH PPS final rule (82 FR 38428), the National
Quality Forum (NQF) undertook a 2-year trial period in which certain
new measures and measures undergoing maintenance review have been
assessed to determine if risk adjustment for social risk factors is
appropriate for these measures.\5\ The trial period ended in April 2017
and a final report is available at https://www.qualityforum.org/SES_Trial_Period.aspx. The trial concluded that ``measures with a
conceptual basis for adjustment generally did not demonstrate an
empirical relationship'' between social risk factors and the outcomes
measured. This discrepancy may be explained in part by the methods used
for adjustment and the limited availability of robust data on social
risk factors. NQF has extended the socioeconomic status (SES) trial,\6\
allowing further examination of social risk factors in outcome
measures.
---------------------------------------------------------------------------
\3\ See, for example, United States Department of Health and
Human Services. ``Healthy People 2020: Disparities. 2014,'' https://www.healthypeople.gov/2020/about/foundation-health-measures/Disparities or National Academies of Sciences, Engineering, and
Medicine. Accounting for Social Risk Factors in Medicare Payment:
Identifying Social Risk Factors. Washington, DC: National Academies
of Sciences, Engineering, and Medicine 2016.
\4\ Department of Health and Human Services Office of the
Assistant Secretary for Planning and Evaluation (ASPE), ``Report to
Congress: Social Risk Factors and Performance Under Medicare's
Value-Based Purchasing Programs.'' December 2016, https://aspe.hhs.gov/pdf-report/report-congress-social-risk-factors-and-performance-under-medicares-value-based-purchasing-programs.
\5\ Available at https://www.qualityforum.org/SES_Trial_Period.aspx.
\6\ Available at: https://www.qualityforum.org/SES_Trial_Period.aspx
---------------------------------------------------------------------------
In the FY/CY 2018 proposed rules for our quality reporting and
value-based purchasing programs, we solicited feedback on which social
risk factors provide the most valuable information to stakeholders and
the methodology for illuminating differences in outcomes rates among
patient groups within a provider that would also allow for a comparison
of those differences, or disparities, across providers. Feedback we
received across our quality reporting programs included encouraging CMS
to explore whether factors that could be used to stratify or risk
adjust the measures (beyond dual eligibility); to consider the full
range of differences in patient backgrounds that might affect outcomes;
to explore risk adjustment approaches; and to offer careful
consideration of what type of information display would be most useful
to the public.
We also sought public comment on confidential reporting and future
public reporting of some of our measures stratified by patient dual
eligibility. In general, commenters noted that stratified measures
could serve as tools for hospitals to identify gaps in outcomes for
different groups of patients, improve the quality of health care for
all patients, and empower consumers to make informed decisions about
health care. Commenters encouraged CMS to stratify measures by other
social risk factors such as age, income, and educational attainment.
With regard to value-based purchasing programs, commenters also
cautioned to balance fair and equitable payment while avoiding payment
penalties that mask health disparities or discouraging the provision of
care to more medically complex patients. Commenters also noted that
value-based payment program measure selection, domain weighting,
performance scoring, and payment methodology must account for social
risk.
[[Page 21000]]
As a next step, we are considering options to improve health
disparities among patient groups within and across hospitals by
increasing the transparency of disparities, as shown by quality
measures. We also are considering how this work applies to other CMS
quality programs in the future. We refer readers to the FY 2018 IPPS/
LTCH PPS final rule (82 FR 38403 through 38409) for more details where
we discuss the potential stratification of certain Hospital Inpatient
Quality Reporting Program outcome measures. Furthermore, we continue to
consider options to address equity and disparities in our value-based
purchasing programs.
We plan to continue working with ASPE, the public, and other key
stakeholders on this important issue to identify policy solutions that
achieve the goals of attaining health equity for all beneficiaries and
minimizing unintended consequences.
C. Proposed New Removal Factor for Previously Adopted IRF QRP Measures
As part of our Meaningful Measures Initiative, discussed in section
D.1. of the Executive Summary of this proposed rule, we strive to put
patients first, ensuring that they, along with their clinicians, are
empowered to make decisions about their own healthcare using data-
driven information that is increasingly aligned with a parsimonious set
of meaningful quality measures. We began reviewing the IRF QRP's
measures in accordance with the Meaningful Measures Initiative
discussed in section D.1 of the Executive Summary, and we are working
to identify how to move the IRF QRP forward in the least burdensome
manner possible, while continuing to incentivize improvement in the
quality of care provided to patients.
Specifically, we believe the goals of the IRF QRP and the measures
used in the program cover most of the Meaningful Measures Initiative
priorities, including making care safer, strengthening person and
family engagement, promoting coordination of care, promoting effective
prevention and treatment, and making care affordable.
We also evaluated the appropriateness and completeness of the IRF
QRP's current measure removal factors. We have previously finalized
that we would use notice and comment rulemaking to remove measures from
the IRF QRP based on the following factors (77 FR 68502 through 68503):
\7\
---------------------------------------------------------------------------
\7\ We refer readers to the FY 2013 CY 2013 Hospital Outpatient
Prospective Payment System/Ambulatory Surgical Center (OPPS/ASC)
Payment Systems and Quality Reporting Programs final rule (77 FR
68502 through 68503) and FY 2018 IRF PPS final rule (82 FR 36276)
for more information on the factors we consider for removing
measures and standardized patient assessment data.
---------------------------------------------------------------------------
Factor 1. Measure performance among IRFs is so high and
unvarying that meaningful distinctions in improvements in performance
can no longer be made.
Factor 2. Performance or improvement on a measure does not
result in better patient outcomes.
Factor 3. A measure does not align with current clinical
guidelines or practice.
Factor 4. A more broadly applicable measure (across
settings, populations, or conditions) for the particular topic is
available.
Factor 5. A measure that is more proximal in time to
desired patient outcomes for the particular topic is available.
Factor 6. A measure that is more strongly associated with
desired patient outcomes for the particular topic is available.
Factor 7. Collection or public reporting of a measure
leads to negative unintended consequences other than patient harm.
We continue to believe these measure removal factors are
appropriate for use in the IRF QRP. However, even if one or more of the
measure removal factors applies, we might nonetheless choose to retain
the measure for certain specified reasons. Examples of such instances
could include when a particular measure addresses a gap in quality that
is so significant that removing the measure could in turn result in
poor quality, or in the event that a given measure is statutorily
required. We note further that, consistent with other quality reporting
programs, we apply these factors on a case-by-case basis.
We are proposing to adopt an additional factor to consider when
evaluating measures for removal from the IRF QRP measure set:
Factor 8. The costs associated with a measure outweigh the benefit
of its continued use in the program.
As we discussed in section D.1. of the Executive Summary of this
proposed rule, to our new Meaningful Measures Initiative, we are
engaging in efforts to ensure that the IRF QRP measure set continues to
promote improved health outcomes for beneficiaries while minimizing the
overall costs associated with the program. We believe these costs are
multifaceted and include not only the burden associated with reporting,
but also the costs associated with implementing and maintaining the
program. We have identified several different types of costs,
including, but not limited to: (1) Provider and clinician information
collection burden and burden associated with the submitting/reporting
of quality measures to CMS; (2) the provider and clinician cost
associated with complying with other programmatic requirements; (3) the
provider and clinician cost associated with participating in multiple
quality programs, and tracking multiple similar or duplicative measures
within or across those programs; (4) the cost to CMS associated with
the program oversight of the measure including measure maintenance and
public display; and (5) the provider and clinician cost associated with
compliance to other federal and/or state regulations (if applicable).
For example, it may be needlessly costly and/or of limited benefit
to retain or maintain a measure which our analyses show no longer
meaningfully supports program objectives (for example, informing
beneficiary choice). It may also be costly for health care providers to
track confidential feedback, preview reports, and publicly reported
information on a measure where we use the measure in more than one
program. We may also have to expend unnecessary resources to maintain
the specifications for the measure, including the tools needed to
collect, validate, analyze, and publicly report the measure data.
Furthermore, beneficiaries may find it confusing to see public
reporting on the same measure in different programs.
When these costs outweigh the evidence supporting the continued use
of a measure in the IRF QRP, we believe it may be appropriate to remove
the measure from the program. Although we recognize that one of the
main goals of the IRF QRP is to improve beneficiary outcomes by
incentivizing health care providers to focus on specific care issues
and making public data related to those issues, we also recognize that
those goals can have limited utility where, for example, the publicly
reported data is of limited use because it cannot be easily interpreted
by beneficiaries and used to influence their choice of providers. In
these cases, removing the measure from the IRF QRP may better
accommodate the costs of program administration and compliance without
sacrificing improved health outcomes and beneficiary choice.
We are proposing that we would remove measures based on this factor
on a case-by-case basis. We might, for example, decide to retain a
measure that is burdensome for health care providers to report if we
conclude that the benefit to beneficiaries is so high that it justifies
[[Page 21001]]
the reporting burden. Our goal is to move the program forward in the
least burdensome manner possible, while maintaining a parsimonious set
of meaningful quality measures and continuing to incentivize
improvement in the quality of care provided to patients.
We are inviting public comment on our proposal to adopt an
additional measure removal Factor 8, ``the costs associated with a
measure outweigh the benefit of its continued use in the program.''
We also are proposing to revise Sec. 412.634(b)(2) of our
regulations to codify both the removal factors we have previously
finalized for the IRF QRP, as well as the new measure removal factor
that we are proposing to adopt in this proposed rule. We are also
proposing to remove the reference to the payment impact from the
heading of Sec. 412.634(b) and, as discussed more fully in section
X.J. of this proposed rule, remove the language in current Sec.
412.634(b)(2) related to the two percentage point payment reduction
because that payment reduction is also addressed at Sec.
412.624(c)(4).
We invite public comment on these proposals.
D. Quality Measures Currently Adopted for the FY 2020 IRF QRP
The IRF QRP currently has 18 measures for the FY 2020 program year,
which are outlined in Table 11.
Table 11--Quality Measures Currently Adopted for the FY 2020 IRF QRP
------------------------------------------------------------------------
Short name Measure name and data source
------------------------------------------------------------------------
IRF-PAI
------------------------------------------------------------------------
Pressure Ulcer............... Percent of Residents or Patients With
Pressure Ulcers That Are New or Worsened
(Short Stay) (NQF #0678).*
Pressure Ulcer/Injury........ Changes in Skin Integrity Post-Acute
Care: Pressure Ulcer/Injury.
Patient Influenza Vaccine.... Percent of Residents or Patients Who Were
Assessed and Appropriately Given the
Seasonal Influenza Vaccine (Short Stay)
(NQF #0680).
Application of Falls......... Application of Percent of Residents
Experiencing One or More Falls with
Major Injury (Long Stay) (NQF #0674).
Application of Functional Application of Percent of Long-Term Care
Assessment. Hospital (LTCH) Patients with an
Admission and Discharge Functional
Assessment and a Care Plan That
Addresses Function (NQF #2631).
DRR.......................... Drug Regimen Review Conducted With Follow-
Up for Identified Issues-Post Acute Care
(PAC) Inpatient Rehabilitation Facility
(IRF) Quality Reporting Program (QRP).
Change in Self-Care.......... IRF Functional Outcome Measure: Change in
Self-Care Score for Medical
Rehabilitation Patients (NQF #2633).
Change in Mobility........... IRF Functional Outcome Measure: Change in
Mobility Score for Medical
Rehabilitation Patients (NQF #2634).
Discharge Self-Care Score.... IRF Functional Outcome Measure: Discharge
Self-Care Score for Medical
Rehabilitation Patients (NQF #2635).
Discharge Mobility Score..... IRF Functional Outcome Measure: Discharge
Mobility Score for Medical
Rehabilitation Patients (NQF #2636).
------------------------------------------------------------------------
NHSN
------------------------------------------------------------------------
CAUTI........................ National Healthcare Safety Network (NHSN)
Catheter-Associated Urinary Tract
Infection Outcome Measure (NQF #0138).
MRSA......................... National Healthcare Safety Network (NHSN)
Facility-wide Inpatient Hospital-onset
Methicillin-resistant Staphylococcus
aureus (MRSA) Bacteremia Outcome Measure
(NQF #1716).
CDI.......................... National Healthcare Safety Network (NHSN)
Facility-wide Inpatient Hospital-onset
Clostridium difficile Infection (CDI)
Outcome Measure (NQF #1717).
HCP Influenza Vaccine........ Influenza Vaccination Coverage among
Healthcare Personnel (NQF #0431).
------------------------------------------------------------------------
Claims-Based
------------------------------------------------------------------------
MSPB IRF..................... Medicare Spending Per Beneficiary (MSPB)-
Post Acute Care (PAC) PAC IRF QRP.
DTC.......................... Discharge to Community--PAC IRF QRP.
PPR 30 day................... Potentially Preventable 30-Day Post-
Discharge Readmission Measure for IRF
QRP.*
PPR Within Stay.............. Potentially Preventable Within Stay
Readmission Measure for IRFs.
------------------------------------------------------------------------
* The measure will be replaced with the Changes in Skin Integrity Post-
Acute Care: Pressure Ulcer/Injury measure, effective October 1, 2018.
E. Proposed Removal of Two IRF QRP Measures
We are proposing to remove two measures from the IRF QRP measure
set. Beginning with the FY 2020 IRF QRP, we are proposing to remove the
National Healthcare Safety Network (NHSN) Facility-wide Inpatient
Hospital-onset Methicillin-resistant Staphylococcus aureus (MRSA)
Bacteremia Outcome Measure (NQF #1716). We are also proposing to remove
one measure beginning with the FY 2021 IRF QRP: Percent of Residents or
Patients Who Were Assessed and Appropriately Given the Seasonal
Influenza Vaccine (Short Stay) (NQF #0680). We discuss these proposals
below.
1. Proposed Removal of National Healthcare Safety Network (NHSN)
Facility-Wide Inpatient Hospital-Onset Methicillin-Resistant
Staphylococcus aureus (MRSA) Bacteremia Outcome Measure (NQF #1716)
Beginning With the FY 2020 IRF QRP
We are proposing to remove the measure, Facility-wide Inpatient
Hospital-onset Methicillin-resistant Staphylococcus aureus (MRSA)
Bacteremia Outcome Measure (NQF #1716), from the IRF QRP measure set
[[Page 21002]]
beginning with the FY 2020 IRF QRP under our proposed measure removal
Factor 8, the costs associated with a measure outweigh the benefit of
its continued use in the IRF QRP.
We originally adopted this measure in the FY 2015 IRF PPS final
rule (79 FR 45911 through 45913). The measure assesses MRSA infections
caused by a strain of MRSA bacteria that has become resistant to
antibiotics commonly used to treat MRSA infections. The measure is
reported as a Standardized Infection Ratio (SIR) of hospital-onset
unique blood source MRSA laboratory-identified events among all
inpatients in the facility.
The data on this measure is submitted by IRFs via the National
Health Safety Network (NHSN), and we adopted it for use in several
quality reporting programs because we believe that MRSA is a serious
healthcare associated infection. To calculate a measure rate for an
individual IRF, we must be able to attribute to the IRF at least one
expected MRSA infection during the reporting period. However, we have
found that the number of IRFs with expected MRSA infections during a
given reporting period is extraordinarily low. For 99.9 percent of
IRFs, the expected MRSA infection incident rate is less than one, which
is too low to use for purposes of generating a reliable standardized
infection ratio. As a result, we are unable to calculate reliable
measure rates and publicly report those rates for almost all IRFs
because their expected infection rates during a given reporting period
are less than one. Therefore, while we still recognize that MRSA is a
serious healthcare associated infection, the benefit of this NHSN
Facility-wide Inpatient Hospital-onset MRSA Bacteremia Outcome Measure
(NQF #1716) is small. For this reason, we believe that the burden
required for data collection and submission on this measure and the
costs associated with this measure, which include the costs to maintain
and publicly report it for the IRF QRP and the costs for a small number
of IRFs to track their rates when reliable rates cannot be calculated
for most IRFs, outweigh the benefit of its continued use in the
program.
Therefore, we are proposing to remove this measure from the IRF
QRP, beginning with the FY 2020 IRF QRP.
If finalized as proposed, IRFs would no longer be required to
submit data on this measure for the purposes of the IRF QRP beginning
with October 1, 2018 admissions and discharges.
We are inviting public comment on this proposal.
2. Proposed Removal of Percent of Residents or Patients Who Were
Assessed and Appropriately Given the Seasonal Influenza Vaccine (Short
Stay) (NQF #0680) Beginning With the FY 2021 IRF QRP
We are proposing to remove the measure, Percent of Residents or
Patients Who Were Assessed and Appropriately Given the Seasonal
Influenza Vaccine (Short Stay) (NQF #0680), from the IRF QRP beginning
with the FY 2021 IRF QRP under measure removal Factor 1, measure
performance among IRFs is so high and unvarying that meaningful
distinctions in improvements in performance can no longer be made.
In the FY 2014 IRF PPS final rule (78 FR 47910 through 47911), we
adopted the Percent of Residents or Patients Who Were Assessed and
Appropriately Given the Seasonal Influenza Vaccine (Short Stay) (NQF
#0680) to assess vaccination rates among IRF patients because many
patients receiving care in the IRF setting are 65 years and older and
considered to be the target population for the influenza vaccination.
This process measure reports the percentage of stays in which the
patient was assessed and appropriately given the influenza vaccine for
the most recent influenza vaccination season. In our evaluation of this
measure, we identified that IRF performance has been high and
relatively stable, demonstrating nominal improvements across influenza
seasons since data collection began. Our analysis of this particular
measure revealed that for the 2015-2016 and the 2016-2017 influenza
seasons, nearly every IRF patient was assessed and more than 75 percent
of IRFs (n = 836) are vaccinating IRF patients who have not already
received a flu vaccination at 90 percent or higher. Further, throughout
the last two influenza seasons, the number of IRFs who achieved a
perfect score (100 percent) on this measure has grown substantially,
increasing by approximately 50 percent from 146 IRFs (12.9 percent) in
the 2015-2016 influenza season to 210 IRFs (18.8 percent) in the 2016-
2017 influenza season.
The Percent of Residents or Patients Who Were Assessed and
Appropriately Given the Seasonal Influenza Vaccine (Short Stay) (NQF
#0680) measure rates are also unvarying. With respect to the 2015-2016
influenza season, the mean performance score was 91.04 percent, and
with respect to the 2016-2017 influenza season, the mean performance
score on this measure was 93.88 percent. The proximity of these mean
rates to the maximum score of 100 percent suggests a potential ceiling
effect and a lack of variation that restricts distinction between
facilities. Given that performance among IRFs has remained so high and
that no meaningful distinction in performance can be made across the
majority of IRFs, we are proposing the removal of this measure.
Therefore, we are proposing to remove this measure from the IRF QRP
beginning with the FY 2021 IRF QRP under of measure removal Factor 1,
measure performance among IRFs is so high and unvarying that meaningful
distinctions in improvements in performance can no longer be made.
If finalized as proposed, IRFs would no longer be required to
submit data on this measure for the purposes of the IRF QRP beginning
with patients discharged on or after October 1, 2018. We plan to remove
these data elements from the IRF-PAI version 3.0, effective October 1,
2019. Beginning with October 1, 2018 discharges, IRFs should enter a
dash (-) for O0250A, O0250B, and O0250C until the IRF-PAI version 3.0
is released.
We are inviting public comment on this proposal.
F. IMPACT Act Implementation Update
In the FY 2018 IRF PPS final rule (82 FR 36285 through 36286), we
stated that we intended to specify two measures that would satisfy the
domain of accurately communicating the existence and provision of the
transfer of health information and care preferences under section
1899B(c)(1)(E) of the Act no later than October 1, 2018, and intended
to propose to adopt them for the FY 2021 IRF QRP with data collection
beginning on or about October 1, 2019.
As a result of the input provided during a public comment period
between November 10, 2016 and December 11, 2016, input provided by a
technical expert panel (TEP) convened by our contractor, and pilot
measure testing conducted in 2017, we are engaging in continued
development work on these two measures, including supplementary measure
testing and providing the public with an opportunity for comment in
2018. Further, we expect to reconvene a TEP for these measures in mid-
2018. We now intend to specify the measures under section
1899B(c)(1)(E) of the Act no later than October 1, 2019, and intend to
propose to adopt the measures for the FY 2022 IRF QRP, with data
collection beginning with patients discharged on or after October 1,
2020. For more information on the pilot testing, we refer readers to:
https://
[[Page 21003]]
www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-
Instruments/Post-Acute-Care-Quality-Initiatives/IMPACT-Act-of-2014/
IMPACT-Act-Downloads-and-Videos.html.
G. Form, Manner, and Timing of Data Submission Under the IRF QRP
Under our current policy, IRFs report data on IRF QRP assessment-
based measures and standardized patient assessment data by completing
applicable sections of the IRF-PAI and submitting the IRF-PAI to CMS
through the Quality Improvement Evaluation System (QIES) Assessment
Submission and Processing (ASAP) system. For more information on IRF
QRP reporting through the Quality Improvement and Evaluation System
Assessment Submission and Processing (QIES ASAP) system, refer to the
``Related Links'' section at the bottom of https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/InpatientRehabFacPPS/Software.html. Data on IRF QRP measures that are also collected by the
Centers for Disease Control and Prevention (CDC) for other purposes are
reported by IRFs to the CDC through the NHSN, and the CDC then
transmits the relevant data to CMS. Information regarding the CDC's
NHSN is available at: https://www.cdc.gov/nhsn/. We refer
readers to the FY 2018 IRF PPS final rule (82 FR 36291 through 36292)
for the data collection and submission timeframes that we finalized for
the IRF QRP.
We previously codified at Sec. 412.634(b)(1) of our regulations
the requirement that IRFs submit data on measures specified under
sections 1886(j)(7)(D), 1899B(c)(1), and 1899B(d)(1) of the Act in the
form and manner, and at a time, specified by CMS. We are proposing in
this proposed rule to revise Sec. 412.634(b)(1) to include the policy
we previously finalized in the FY 2018 IRF PPS Final Rule (82 FR 36292
through 36293) that IRFs must also submit standardized patient
assessment data required under section 1899B(b)(1) of the Act in the
form and manner, and at a time, specified by CMS.
We are inviting public comment on this proposal.
H. Proposed Changes to Reconsiderations Requirements Under the IRF QRP
Section 412.634(d)(1) of our regulations states, in part, that IRFs
found to be non-compliant with the quality reporting requirements for a
particular fiscal year will receive a letter of non-compliance through
the Quality Improvement and Evaluation System Assessment Submission and
Processing (QIES-ASAP) system, as well as through the United States
Postal Service.
We are proposing to revise Sec. 412.634(d)(1) to expand the
methods by which we would notify an IRF of non-compliance with the IRF
QRP requirements for a program year. Revised Sec. 412.634(d)(1) would
state that we would notify IRFs of non-compliance with the IRF QRP
requirements via a letter sent through at least one of the following
notification methods: The QIES-ASAP system, the United States Postal
Service, or via an email from the Medicare Administrative Contractor
(MAC). We believe that this change will address the feedback from
providers requesting additional methods for notification.
We are also proposing to revise Sec. 412.634(d)(5) to clarify that
we will notify IRFs, in writing, of our final decision regarding any
reconsideration request using the same notification process.
We are inviting public comments on these proposals.
I. Proposed Policies Regarding Public Display of Measure Data for the
IRF QRP
Section 1886(j)(7)(E) of the Act requires the Secretary to
establish procedures for making the IRF QRP data available to the
public after ensuring that an IRF has the opportunity to review its
data prior to public display. Measure data are currently displayed on
the IRF Compare website, an interactive web tool that assists
individuals by providing information on IRF quality of care to those
who need to select an IRF. For more information on IRF Compare, we
refer readers to: https://www.medicare.gov/inpatientrehabilitationfacilitycompare/.
We propose to begin publicly displaying data on the following four
assessment-based measures in CY 2020, or as soon thereafter as
technically feasible: (1) Change in Self-Care (NQF #2633); (2) Change
in Mobility Score (NQF #2634); (3) Discharge Self-Care Score (NQF
#2635); (4) and Discharge Mobility Score (NQF #2636). Data collection
for these four assessment-based measures began with patients discharged
on or after October 1, 2016. We are proposing to display data for these
assessment-based measures based on four rolling quarters of data,
initially using discharges from January 1, 2019 through December 31,
2019 (Quarter 1 2019 through Quarter 4 2019). To ensure the statistical
reliability of the data for these four assessment-based measures, we
are also proposing that if an IRF has fewer than 20 cases during any
four consecutive rolling quarters of data that we are displaying for
any of these measures, then we would note in our public display of that
measure that with respect to that IRF the number of cases/patient stays
is too small to publicly report.
We invite public comment on these proposals
J. Method for Applying the Reduction to the FY 2019 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 payments for discharges occurring
during such fiscal year for IRFs that fail to comply with the quality
data submission requirements. We propose to apply a 2-percentage point
reduction to the applicable FY 2019 market basket increase factor in
calculating a proposed adjusted FY 2019 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.
We invite public comment on the proposed method for applying the
reduction to the FY 2019 IRF increase factor for IRFs that fail to meet
the quality reporting requirements.
Table 12 shows the calculation of the proposed adjusted FY 2019
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 applicable reporting period.
[[Page 21004]]
Table 12--Calculations To Determine the Proposed Adjusted FY 2019
Standard Payment Conversion Factor for IRFs That Failed To Meet the
Quality Reporting Requirement
------------------------------------------------------------------------
Explanation for adjustment Calculations
------------------------------------------------------------------------
Standard Payment Conversion Factor for .............. $ 15,838
FY 2018................................
Market Basket Increase Factor for FY x 0.9935
2019 (2.9 percent), reduced by 0.8
percentage point for the productivity
adjustment as required by section
1886(j)(3)(C)(ii)(I) of the Act,
reduced by 0.75 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 x 1.0000
Index and Labor-Related Share..........
Budget Neutrality Factor for the x 0.9980
Revisions to the CMG Relative Weights..
Adjusted FY 2019 Standard Payment = $ 15,704
Conversion Factor......................
------------------------------------------------------------------------
Our regulations currently address the two percentage point payment
reduction for failure to meet requirements under the IRF QRP in two
places: Sec. 412.624(c)(4) and Sec. 412.634(b)(2). We believe that
these provisions are duplicative and are proposing to revise the
regulations so that the payment reduction is addressed only in Sec.
412.624(c)(4). As noted in this proposed rule, we are proposing to
remove the language regarding the payment reduction that is currently
at Sec. 412.634(b)(2) and to codify that section instead the retention
and removal policies for the IRF QRP.
We are also proposing to revise Sec. 412.624(c)(4)(i) to clarify
that an IRF's failure to submit data under the IRF QRP in accordance
with Sec. 412.634 will result in the 2 percentage point reduction to
the applicable increase factor specified in Sec. 412.624(a)(3).
Finally, we are proposing to revise Sec. 412.624(c)(4) for greater
consistency with the language of section 1886(j)(7)(A)(i) of the Act.
Specifically, we would revise paragraph (i) to clarify that the 2
percentage point reduction is applied ``after application of
subparagraphs (C)(iii) and (D) of section 1886(j)(3) of the Act.'' In
addition, we would add a new paragraph (iii) that clarifies that the 2
percentage point reduction required under section 1886(j)(7)(A)(i) of
the Act may result in an update that is less than 0.0 for a fiscal
year.
We invite public comment on these proposals.
X. Request for Information on Promoting Interoperability and Electronic
Healthcare Information Exchange Through Possible Revisions to the CMS
Patient Health and Safety Requirements for Hospitals and Other
Medicare- and Medicaid-Participating Providers and Suppliers
Currently, Medicare- and Medicaid-participating providers and
suppliers are at varying stages of adoption of health information
technology (health IT). Many hospitals have adopted electronic health
records (EHRs), and CMS has provided incentive payments to eligible
hospitals, critical access hospitals (CAHs), and eligible professionals
who have demonstrated meaningful use of certified EHR technology
(CEHRT) under the Medicare EHR Incentive Program. As of 2015, 96
percent of Medicare- and Medicaid-participating non-Federal acute care
hospitals had adopted certified EHRs with the capability to
electronically export a summary of clinical care.\8\ While both
adoption of EHRs and electronic exchange of information have grown
substantially among hospitals, significant obstacles to exchanging
electronic health information across the continuum of care persist.
Routine electronic transfer of information post-discharge has not been
achieved by providers and suppliers in many localities and regions
throughout the nation.
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\8\ These statistics can be accessed at:
https://dashboard.healthit.gov/quickstats/pages/FIG-Hospital-EHR-Adoption.php.
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CMS is firmly committed to the use of certified health IT and
interoperable EHR systems for electronic healthcare information
exchange to effectively help hospitals and other Medicare- and
Medicaid-participating providers and suppliers improve internal care
delivery practices, support the exchange of important information
across care team members during transitions of care, and enable
reporting of electronically specified clinical quality measures
(eCQMs). The Office of the National Coordinator for Health Information
Technology (ONC) acts as the principal federal entity charged with
coordination of nationwide efforts to implement and use health
information technology and the electronic exchange of health
information on behalf of the Department of Health and Human Services.
In 2015, ONC finalized the 2015 Edition health IT certification
criteria (2015 Edition), the most recent criteria for health IT to be
certified to under the ONC Health IT Certification Program. The 2015
Edition facilitates greater interoperability for several clinical
health information purposes and enables health information exchange
through new and enhanced certification criteria, standards, and
implementation specifications. CMS requires eligible hospitals and CAHs
in the Medicare and Medicaid EHR Incentive Programs and eligible
clinicians in the Quality Payment Program (QPP) to use EHR technology
certified to the 2015 Edition beginning in CY 2019.
In addition, several important initiatives will be implemented over
the next several years to provide hospitals and other participating
providers and suppliers with access to robust infrastructure that will
enable routine electronic exchange of health information. Section 4003
of the 21st Century Cures Act (Pub. L. 114-255), enacted in 2016, and
amending section 3000 of the Public Health Service Act (42 U.S.C.
300jj), requires HHS to take steps to advance the electronic exchange
of health information and interoperability for participating providers
and suppliers in various settings across the care continuum.
Specifically, Congress directed that ONC ``. . . for the purpose of
ensuring full network-to-network exchange of health information,
convene public-private and public-public partnerships to build
consensus and develop or support a trusted exchange framework,
including a common agreement among health information networks
nationally.'' In January 2018, ONC released a draft version of its
proposal for the Trusted Exchange Framework and Common Agreement,\9\
which outlines principles and minimum terms and conditions for trusted
exchange to enable interoperability across disparate health information
networks (HINs). The Trusted Exchange Framework (TEF) is focused on
achieving the following
[[Page 21005]]
four important outcomes in the long-term:
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\9\ The draft version of the trusted Exchange Framework may be
accessed at https://beta.healthit.gov/topic/interoperability/trusted-exchange-framework-and-common-agreement.
---------------------------------------------------------------------------
Professional care providers, who deliver care across the
continuum, can access health information about their patients,
regardless of where the patient received care.
Patients can find all of their health information from
across the care continuum, even if they do not remember the name of the
professional care provider they saw.
Professional care providers and health systems, as well as
public and private health care organizations and public and private
payer organizations accountable for managing benefits and the health of
populations, can receive necessary and appropriate information on
groups of individuals without having to access one record at a time,
allowing them to analyze population health trends, outcomes, and costs;
identify at-risk populations; and track progress on quality improvement
initiatives.
The health IT community has open and accessible
application programming interfaces (APIs) to encourage entrepreneurial,
user-focused innovation that will make health information more
accessible and improve EHR usability.
ONC will revise the draft TEF based on public comment and
ultimately release a final version of the TEF that will subsequently be
available for adoption by HINs and their participants seeking to
participate in nationwide health information exchange. The goal for
stakeholders that participate in, or serve as, a HIN is to ensure that
participants will have the ability to seamlessly share and receive a
core set of data from other network participants in accordance with a
set of permitted purposes and applicable privacy and security
requirements. Broad adoption of this framework and its associated
exchange standards is intended to both achieve the outcomes described
above while creating an environment more conducive to innovation.
In light of the widespread adoption of EHRs along with the
increasing availability of health information exchange infrastructure
predominantly among hospitals, we are interested in hearing from
stakeholders on how we could use the CMS health and safety standards
that are required for providers and suppliers participating in the
Medicare and Medicaid programs (that is, the Conditions of
Participation (CoPs), Conditions for Coverage (CfCs), and Requirements
for Participation (RfPs) for Long Term Care Facilities) to further
advance electronic exchange of information that supports safe,
effective transitions of care between hospitals and community
providers. Specifically, CMS might consider revisions to the current
CMS CoPs for hospitals such as: Requiring that hospitals transferring
medically necessary information to another facility upon a patient
transfer or discharge do so electronically; requiring that hospitals
electronically send required discharge information to a community
provider via electronic means if possible and if a community provider
can be identified; and requiring that hospitals make certain
information available to patients or a specified third-party
application (for example, required discharge instructions) via
electronic means if requested.
On November 3, 2015, we published a proposed rule (80 FR 68126) to
implement the provisions of the IMPACT Act and to revise the discharge
planning CoP requirements that hospitals (including Short-Term Acute-
Care Hospitals, Long-Term Care Hospitals (LTCHs), Inpatient
Rehabilitation Hospitals (IRFs), Inpatient Psychiatric Hospitals
(IPFs), Children's Hospitals, and Cancer Hospitals), critical access
hospitals (CAHs), and home health agencies (HHAs) must meet in order to
participate in the Medicare and Medicaid programs. This proposed rule
has not been finalized yet. However, several of the proposed
requirements directly address the issue of communication between
providers and between providers and patients, as well as the issue of
interoperability:
Hospitals and CAHs would be required to transfer certain
necessary medical information and a copy of the discharge instructions
and discharge summary to the patient's practitioner, if the
practitioner is known and has been clearly identified;
Hospitals and CAHs would be required to send certain
necessary medical information to the receiving facility/post-acute care
providers, at the time of discharge; and
Hospitals, CAHs and HHAs, would need to comply with the
IMPACT Act requirements that would require hospitals, CAHs, and certain
post-acute care providers to use data on quality measures and data on
resource use measures to assist patients during the discharge planning
process, while taking into account the patient's goals of care and
treatment preferences.
We published another proposed rule (81 FR 39448), on June 16, 2016,
that updated a number of CoP requirements that hospitals and CAH must
meet in order to participate in the Medicare and Medicaid programs.
This proposed rule has not been finalized yet. One of the proposed
hospital CoP revisions in that rule directly addresses the issues of
communication between providers and patients, patient access to their
medical records, and interoperability. We proposed that patients have
the right to access their medical records, upon an oral or written
request, in the form and format requested by such patients, if it is
readily producible in such form and format (including in an electronic
form or format when such medical records are maintained
electronically); or, if not, in a readable hard copy form or such other
form and format as agreed to by the facility and the individual,
including current medical records, within a reasonable time frame. The
hospital must not frustrate the legitimate efforts of individuals to
gain access to their own medical records and must actively seek to meet
these requests as quickly as its record keeping system permits.
We also published a final rule (81 FR 68688), on October 4, 2016,
that revised the requirements that LTC facilities must meet to
participate in the Medicare and Medicaid programs, where we made a
number of revisions based on the importance of effective communication
between providers during transitions of care, such as transfers and
discharges of residents to other facilities or providers, or to home.
Among these revisions was a requirement that the transferring LTC
facility must provide all necessary information to the resident's
receiving provider, whether it is an acute care hospital, a LTC
hospital, a psychiatric facility, another LTC facility, a hospice, home
health agency, or another community-based provider or practitioner. We
specified that necessary information must include the following:
Contact information of the practitioner responsible for
the care of the resident;
Resident representative information including contact
information;
Advance directive information;
Special instructions or precautions for ongoing care;
The resident's comprehensive care plan goals; and
All other necessary information, including a copy of the
resident's discharge or transfer summary and any other documentation to
ensure a safe and effective transition of care.
We note that the discharge summary mentioned above must include
reconciliation of the resident's medications, as well as a
recapitulation of the resident's stay, a final summary of the
resident's status, and the post-discharge plan of care. And in the
preamble to the rule, we encouraged LTC facilities to electronically
exchange
[[Page 21006]]
this information if possible and to identify opportunities to
streamline the collection and exchange of resident information by using
information that the facility is already capturing electronically.
Additionally, we specifically invite stakeholder feedback on the
following questions regarding possible new or revised CoPs/CfCs/RfPs
for interoperability and electronic exchange of health information:
If CMS were to propose a new CoP/CfC/RfP standard to
require electronic exchange of medically necessary information, would
this help to reduce information blocking as defined in section 4004 of
the 21st Century Cures Act?
Should CMS propose new CoPs/CfCs/RfPs for hospitals and
other participating providers and suppliers to ensure a patient's or
resident's (or his or her caregiver's or representative's) right and
ability to electronically access his or her health information without
undue burden? Would existing portals or other electronic means
currently in use by many hospitals satisfy such a requirement regarding
patient/resident access as well as interoperability?
Are new or revised CMS CoPs/CfCs/RfPs for interoperability
and electronic exchange of health information necessary to ensure
patients/residents and their treating providers routinely receive
relevant electronic health information from hospitals on a timely basis
or will this be achieved in the next few years through existing
Medicare and Medicaid policies, HIPAA, and implementation of relevant
policies in the 21st Century Cures Act?
What would be a reasonable implementation timeframe for
compliance with new or revised CMS CoPs/CfCs/RfPs for interoperability
and electronic exchange of health information if CMS were to propose
and finalize such requirements? Should these requirements have delayed
implementation dates for specific participating providers and
suppliers, or types of participating providers and suppliers (for
example, participating providers and suppliers that are not eligible
for the Medicare and Medicaid EHR Incentive Programs)?
Do stakeholders believe that new or revised CMS CoPs/CfCs/
RfPs for interoperability and electronic exchange of health information
would help improve routine electronic transfer of health information as
well as overall patient/resident care and safety?
Under new or revised CoPs/CfCs/RfPs, should non-electronic
forms of sharing medically necessary information (for example, printed
copies of patient/resident discharge/transfer summaries shared directly
with the patient/resident or with the receiving provider or supplier,
either directly transferred with the patient/resident or by mail or fax
to the receiving provider or supplier) be permitted to continue if the
receiving provider, supplier, or patient/resident cannot receive the
information electronically?
Are there any other operational or legal considerations
(for example, HIPAA), obstacles, or barriers that hospitals and other
providers and suppliers would face in implementing changes to meet new
or revised interoperability and health information exchange
requirements under new or revised CMS CoPs/CfCs/RfPs if they are
proposed and finalized in the future?
What types of exceptions, if any, to meeting new or
revised interoperability and health information exchange requirements,
should be allowed under new or revised CMS CoPs/CfCs/RfPs if they are
proposed and finalized in the future? Should exceptions under the QPP
including CEHRT hardship or small practices be extended to new
requirements? Would extending such exceptions impact the effectiveness
of these requirements?
We would also like to directly address the issue of communication
between hospitals (as well as the other providers and suppliers across
the continuum of patient care) and their patients and caregivers.
MyHealthEData is a government-wide initiative aimed at breaking down
barriers that contribute to preventing patients from being able to
access and control their medical records. Privacy and security of
patient data will be at the center of all CMS efforts in this area. CMS
must protect the confidentiality of patient data, and CMS is completely
aligned with the Department of Veterans Affairs (VA), the National
Institutes of Health (NIH), ONC, and the rest of the federal
government, on this objective.
While some Medicare beneficiaries have had, for quite some time,
the ability to download their Medicare claims information, in pdf or
Excel formats, through the CMS Blue Button platform, the information
was provided without any context or other information that would help
beneficiaries understand what the data was really telling them. For
beneficiaries, their claims information is useless if it is either too
hard to obtain or, as was the case with the information provided
through previous versions of Blue Button, hard to understand. In an
effort to fully contribute to the federal government's MyHealthEData
initiative, CMS developed and launched the new Blue Button 2.0, which
represents a major step toward giving patients meaningful control of
their health information in an easy-to-access and understandable way.
Blue Button 2.0 is a developer-friendly, standards-based API that
enables Medicare beneficiaries to connect their claims data to secure
applications, services, and research programs they trust. The
possibilities for better care through Blue Button 2.0 data are
exciting, and might include enabling the creation of health dashboards
for Medicare beneficiaries to view their health information in a single
portal, or allowing beneficiaries to share complete medication lists
with their doctors to prevent dangerous drug interactions.
To fully understand all of these health IT interoperability issues,
initiatives, and innovations through the lens of its regulatory
authority, CMS invites members of the public to submit their ideas on
how best to accomplish the goal of fully interoperable health IT and
EHR systems for Medicare- and Medicaid-participating providers and
suppliers, as well as how best to further contribute to and advance the
MyHealthEData initiative for patients. We are particularly interested
in identifying fundamental barriers to interoperability and health
information exchange, including those specific barriers that prevent
patients from being able to access and control their medical records.
We also welcome the public's ideas and innovative thoughts on
addressing these barriers and ultimately removing or reducing them in
an effective way, specifically through revisions to the current CMS
CoPs, CfCs, and RfPs for hospitals and other participating providers
and suppliers. We have received stakeholder input through recent CMS
Listening Sessions on the need to address health IT adoption and
interoperability among providers that were not eligible for the
Medicare and Medicaid EHR Incentives program, including long-term and
post-acute care providers, behavioral health providers, clinical
laboratories and social service providers, and we would also welcome
specific input on how to encourage adoption of certified health IT and
interoperability among these types of providers and suppliers as well.
We note that this is a Request for Information only. Respondents
are encouraged to provide complete but concise and organized responses,
including any relevant data and specific examples. However, respondents
are not required to address every issue or respond to every question
discussed in this Request for Information to have their responses
considered. In accordance with the implementing
[[Page 21007]]
regulations of the Paperwork Reduction Act at 5 CFR 1320.3(h)(4), all
responses will be considered provided they contain information CMS can
use to identify and contact the commenter, if needed.
This Request for Information is issued solely for information and
planning purposes; it does not constitute a Request for Proposal (RFP),
applications, proposal abstracts, or quotations. This Request for
Information does not commit the U.S. Government to contract for any
supplies or services or make a grant award. Further, CMS is not seeking
proposals through this Request for Information and will not accept
unsolicited proposals. Responders are advised that the U.S. Government
will not pay for any information or administrative costs incurred in
response to this Request for Information; all costs associated with
responding to this Request for Information will be solely at the
interested party's expense.
We note that not responding to this Request for Information does
not preclude participation in any future procurement, if conducted. It
is the responsibility of the potential responders to monitor this
Request for Information announcement for additional information
pertaining to this request. In addition, we note that CMS will not
respond to questions about the policy issues raised in this Request for
Information. CMS will not respond to comment submissions in response to
this Request for Information in the FY 2019 IPPS/LTCH PPS final rule.
Rather, CMS will actively consider all input as we develop future
regulatory proposals or future subregulatory policy guidance. CMS may
or may not choose to contact individual responders. Such communications
would be for the sole purpose of clarifying statements in the
responders' written responses. Contractor support personnel may be used
to review responses to this Request for Information. Responses to this
notice are not offers and cannot be accepted by the Government to form
a binding contract or issue a grant. Information obtained as a result
of this Request for Information may be used by the Government for
program planning on a nonattribution basis. Respondents should not
include any information that might be considered proprietary or
confidential.
This Request for Information should not be construed as a
commitment or authorization to incur cost for which reimbursement would
be required or sought. All submissions become U.S. Government property
and will not be returned. CMS may publically post the public comments
received, or a summary of those public comments.
XI. Collection of Information Requirements
A. Statutory Requirement for Solicitation of Comments
Under the Paperwork Reduction Act of 1995 (PRA), we are required to
provide 60-day notice in the Federal Register and solicit public
comment before a collection of information requirement is submitted to
the OMB for review and approval. To fairly evaluate whether an
information collection should be approved by OMB, section 3506(c)(2)(A)
of the PRA 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 affected public, including automated collection
techniques.
This proposed rule makes reference to associated information
collections that are not discussed in the regulation text contained in
this document.
B. Collection of Information Requirements for Updates Related to the
IRF PPS
As discussed in section VIII.A of this proposed rule, we are
proposing to modify Sec. 412.622(a)(3)(iv) to provide that the post-
admission physician evaluation required under Sec. 412.622(a)(4)(ii)
may count as one of the face-to-face physician visits required under
Sec. 412.622(a)(3)(iv) beginning with FY 2019, that is, for all IRF
discharges beginning on or after October 1, 2018. As discussed in
section VIII.B of this proposed rule, we are proposing to modify Sec.
412.622(a)(5) to allow rehabilitation physicians to attend
interdisciplinary team meetings remotely beginning with FY 2019, that
is, for all IRF discharges beginning on or after October 1, 2018. As
discussed in section VIII.C of this proposed rule, we are proposing to
modify Sec. 412.606 to remove subsection (a) and eliminate the
admission order requirement beginning with FY 2019, that is, for all
IRF discharges beginning on or after October 1, 2018.
We estimate the cost savings associated with our proposal to allow
the post-admission physician evaluation to count as one of the required
face-to-face physician visits, as discussed in section VIII.A of this
proposed rule, in the following way. We first estimate that the post-
admission physician evaluation takes approximately 60 minutes to
complete and the required face-to-face physician visits take, on
average, 30 minutes each to complete. Both of these requirements must
be fulfilled by a rehabilitation physician. To estimate the burden
reduction of this proposal, therefore, we obtained the hourly wage rate
for a physician (there was not a specific wage rate for a
rehabilitation physician) from the Bureau of Labor Statistics (https://www.bls.gov/ooh/healthcare/home.htm) to be $98.83. The hourly wage rate
including fringe benefits and overhead is $197.66.
In FY 2017, we estimate that there were approximately 1,124 total
IRFs and on average 357 discharges per IRF annually. Therefore, there
were an estimated seven patients (357 discharges/52 weeks) at the IRF
per week. The rehabilitation physician spends 357 hours (60 minutes x
357 discharges) annually completing the post-admission physician
evaluation. If on average each IRF has seven patients per week and each
face-to-face visit takes an estimated 30 minutes for the rehabilitation
physician to complete, annually the rehabilitation physician spends an
estimated 546 hours ((7 patients x 3 visits x 0.5 hours) x 52 weeks)
completing the required face-to-face physician visits. On average, a
rehabilitation physician currently spends 903 hours (357 hours + 546
hours) annually completing post-admission physician evaluations and the
required face-to-face physician visits.
If we allow the post-admission physician evaluation to count as one
of the face-to-face required physician visits, we would need to
estimate the average time spent on one face-to-face visit ((7 patients
x 1 visit x 0.5 hours) x 52 weeks). Removing one of the face-to-face
visits required in the first week of the IRF admission will save the
rehabilitation physician approximately 182 hours ((7 patients x 1 visit
x 0.5 hours) x 52 weeks) annually per IRF. This is a savings of 204,568
hours across all IRFs annually (1,124 IRFs x 182 hours).
To estimate the total cost savings per IRF annually, we multiply
182 hours by $197.66 (average physician's salary doubled to account for
fringe and overhead costs). Therefore, we can estimate the total cost
savings per IRF will be $36,000 annually. We estimate that the total
cost savings for allowing the post-admission physician evaluation to
count as one of the required face-to-face physician visits, will be
$40.5
[[Page 21008]]
million (1,124 IRFs x $36,000) annually across the IRF setting. We
would like to note that all of the cost savings reflected in this
estimate will occur on the Medicare Part B side, in the form of reduced
Part B payments to physicians under the physician fee schedule.
Physician services provided in an IRF are billed directly to Part B
therefore, IRFs do not pay physicians for their services.
We do not estimate a cost savings in removing the admission order
coverage criteria requirements as IRFs are still required to comply
with the enforcement of the admission requirements located in
Sec. Sec. 482.24(c), 482.12(c) and 412.3. Any increase in Medicare
payments due to the proposed change would be negligible given the
anticipated low volume of claims that would be payable under this
proposed policy that would not have been paid under the current policy.
Therefore, we believe that the reduction of burden in this proposed
removal is in reducing the redundancy of requirements only.
As discussed in section VII.A of this proposed rule, we are
proposing to remove the FIMTM instrument and associated
Function Modifiers from the IRF-PAI beginning with FY 2020, that is,
for all IRF discharges beginning on or after October 1, 2019. The
proposed removal of the FIMTM instrument and associated
Function Modifiers from the IRF PAI would result in the removal of 11
data items. As a result, we estimate the burden and costs associated
with the collection of this data will be reduced for IRFs.
Specifically, we estimate the proposed removal of the FIMTM
instrument and the associated Function Modifiers will save 25 minutes
of nursing/clinical staff time used to report data on both admission
and discharge which was the estimated time needed to complete these
items when the FIMTM instrument was added to the IRF-PAI in
the FY 2002 IRF PPS Final Rule (66 FR 41375). We believe that the
FIMTM items we are proposing to remove may be completed by
social service assistants, Licensed Practical Nurses (LPN),
recreational therapists, social workers, dietitians and nutritionists,
Registered Nurses (RN), Occupational Therapists (OT), Speech Language
Pathologists (SLP) and audiologists, and or Physical Therapists (PT),
depending on the item. To estimate the burden associated with the
collection of these data items, we obtained mean hourly wages for these
staff from the U.S. Bureau of Labor Statistics' May 2016 National
Occupational Employment and Wage Estimates (https://www.bls.gov/oes/2016/may/oes_nat.htm) and doubled them to account for overhead and
fringe benefits. We estimate IRF-PAI preparation and coding costs using
a social worker hourly wage rate of $48.76, a social work assistant's
hourly wage rate of $32.82, an RN hourly wage rate of $69.40, an LPN
hourly wage rate of $43.12, a recreation therapist hourly wage rate of
$46.34, a dietitian/nutritionist hourly wage rate of $57.38, a speech-
language pathologist hourly wage rate of $75.20, an audiologist hourly
wage rate of $76.24, an occupational therapist hourly wage rate of
$80.50, and a physical therapist hourly wage rate of $83.86. Using the
mean hourly wages (doubled to account for overhead and fringe benefits)
for the staffing categories above, we calculate an average rate of
$61.36. The $61.36 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 for the IRF-PAI.
To estimate the burden reduction associated with this proposal, we
estimate that there are approximately 401,760 discharges from 1,124
IRFs in FY 2017 resulting in an approximate average of 357 discharges
per IRF annually. This equates to a reduction of 167,400 hours for all
IRFs ((401,760 discharges x 25 minutes)/60 minutes). This is 149 hours
(167,400 hours/1,124 IRFs) per IRF annually. We estimate the total cost
savings per IRF will be approximately $9,100 (149 hours x $61.36)
annually. We estimate that the total cost savings for all IRF providers
will be approximately $10.2 million (1,124 IRFs x $9,100) annually.
C. Collection of Information Requirements for Updates Related to the
IRF QRP
An IRF that does not meet the requirements of the IRF QRP for a
fiscal year will receive a 2 percentage point reduction to its
otherwise applicable annual increase factor for that fiscal year.
Information is not currently available to determine the precise number
of IRFs that will receive less than the full annual increase factor for
FY 2019 due to non-compliance with the requirements of the IRF QRP.
We believe that the burden associated with the IRF QRP is the time
and effort associated with complying with the requirements of the IRF
QRP. As of February 1, 2018, there are approximately 1,124 IRFs
reporting quality data to CMS. For the purposes of calculating the
costs associated with the collection of information requirements, we
obtained mean hourly wages for these staff from the U.S. Bureau of
Labor Statistics' May 2016 National Occupational Employment and Wage
Estimates (https://www.bls.gov/oes/current/oes_nat.htm). To account for
overhead and fringe benefits, we have doubled the hourly wage. These
amounts are detailed in Table 13.
Table 13--U.S. Bureau of Labor Statistics' May 2016 National Occupational Employment and Wage Estimates
----------------------------------------------------------------------------------------------------------------
Overhead and Adjusted
Occupation title Occupation Mean hourly fringe benefit hourly wage ($/
code wage ($/hr) ($/hr) hr)
----------------------------------------------------------------------------------------------------------------
Registered Nurse (RN)........................... 29-1141 $34.70 $34.70 $69.40
Medical Records and Health Information 29-2071 19.93 19.93 39.86
Technician.....................................
----------------------------------------------------------------------------------------------------------------
As discussed in section IX.4. of this proposed rule, we are
proposing to remove two measures from the IRF QRP.
In section IX.4.2 of this proposed rule, we are proposing to remove
the measure, Percent of Residents or Patients Who Were Assessed and
Appropriately Given the Seasonal Influenza Vaccine (Short Stay) (NQF
#0680), beginning with the FY 2021 IRF QRP. IRFs will no longer be
required to submit data on this measure beginning with patients
discharged on October 1, 2018, and the items will be removed from the
IRF-PAI V3.0, effective October 1, 2019. As a result, the estimated
burden and cost for IRFs for complying with requirements of the FY 2021
IRF QRP will be reduced. Specifically, we believe that there will be a
4.8 minute reduction in clinical staff time to report data per patient
stay. We estimate 401,760 discharges from 1,124 IRFs annually. This
equates to a decrease of 32,141 hours in burden for all IRFs (0.08
hours per assessment x 401,760 discharges). Given 4.8 minutes
[[Page 21009]]
of RN time at $69.40 per hour completing an average of 357 sets of IRF-
PAI assessments per provider per year, we estimate that the total cost
will be reduced by $1,982 per IRF annually, or $2,227,768 for all IRFs
annually. This decrease in burden will be accounted for in the
information collection under OMB control number (0938-0842).
In addition, we are proposing to remove one CDC NHSN measure,
beginning with the FY 2020 IRF QRP, which will result in a decrease in
burden and cost for IRFs. Providers will no longer be required to
submit data beginning with October 1, 2018 admissions and discharges.
We estimate that the removal of the National Healthcare Safety Network
(NHSN) Facility-wide Inpatient Hospital-onset Methicillin-resistant
Staphylococcus aureus (MRSA) Bacteremia Outcome Measure (NQF #1716)
measure will result in a 3-hour (15 minutes per MRSA submission x 12
estimated submissions IRF per year) reduction in clinical staff time
annually to report data which equates to a decrease of 3,372 hours (3
hours burden per IRF per year x 1,124 total IRFs) in burden for all
IRFs. Given 10 minutes of RN time at $69.40 per hour, and 5 minutes of
Medical Records or Health Information Technician at $39.86 per hour,
for the submission of MRSA data to the NHSN per IRF per year, we
estimate that the total cost of complying with requirements of the IRF
QRP will be reduced by $178.66 per IRF annually, or $200,813.84 for all
IRFs annually.
In summary, the proposed IRF QRP measure removals will result in a
burden reduction of $2160.66 per IRF annually, and $2,428,581.84 for
all IRFs annually.
XII. 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 proposed
rule, 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
2019 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 also 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.
Furthermore, this proposed rule also adopts policy changes under
the statutory discretion afforded to the Secretary under section
1886(j)(7) of the Act. Specifically, we propose to remove the
FIMTM instrument and associated Function Modifiers from the
IRF-PAI, revise certain IRF coverage requirements, and remove two
measures and codify policies that have been finalized under the IRF
QRP.
B. Overall Impact
We have examined the impacts of this rule as required by Executive
Order 12866 on Regulatory Planning and Review (September 30, 1993),
Executive Order 13563 on Improving Regulation and Regulatory Review
(January 18, 2011), the Regulatory Flexibility Act (RFA) (September 19,
1980, Pub. L. 96-354), section 1102(b) of the Social Security Act,
section 202 of the Unfunded Mandates Reform Act of 1995 (March 22,
1995; Pub. L. 104-4), Executive Order 13132 on Federalism (August 4,
1999), the Congressional Review Act (5 U.S.C. 804(2) and Executive
Order 13771 on Reducing Regulation and Controlling Regulatory Costs
(January 30, 2017).
Executive Orders 12866 and 13563 direct agencies to assess all
costs and benefits of available regulatory alternatives and, if
regulation is necessary, to select regulatory approaches that maximize
net benefits (including potential economic, environmental, public
health and safety effects, distributive impacts, and equity). Section
3(f) of Executive Order 12866 defines a ``significant regulatory
action'' as an action that is likely to result in a rule: (1) Having an
annual effect on the economy of $100 million or more in any 1 year, or
adversely and materially affecting a sector of the economy,
productivity, competition, jobs, the environment, public health or
safety, or state, local or tribal governments or communities (also
referred to as ``economically significant''); (2) creating a serious
inconsistency or otherwise interfering with an action taken or planned
by another agency; (3) materially altering the budgetary impacts of
entitlement grants, user fees, or loan programs or the rights and
obligations of recipients thereof; or (4) raising novel legal or policy
issues arising out of legal mandates, the President's priorities, or
the principles set forth in the Executive Order.
A regulatory impact analysis (RIA) must be prepared for major rules
with economically significant effects ($100 million or more in any 1
year). We estimate the total impact of the policy updates described in
this proposed rule by comparing the estimated payments in FY 2019 with
those in FY 2018. This analysis results in an estimated $75 million
increase for FY 2019 IRF PPS payments. Additionally we estimate that
costs associated with the proposals to revise certain IRF coverage
requirements and update the reporting requirements under the IRF
quality reporting program result in an estimated $42.9 million
reduction in costs in FY 2019 for IRFs. We estimate that this
rulemaking is ``economically significant'' as measured by the $100
million threshold, and hence also a major rule under the Congressional
Review Act. Also, the rule has been reviewed by OMB. Accordingly, we
have prepared a Regulatory Impact Analysis that, to the best of our
ability, presents the costs and benefits of the rulemaking.
C. Anticipated Effects
1. Effects on IRFs
The RFA requires agencies to analyze options for regulatory relief
of small entities, if a rule has a significant impact on a substantial
number of small entities. For purposes of the RFA, small entities
include small businesses, nonprofit organizations, and small
governmental jurisdictions. Most IRFs and most other providers and
suppliers are small entities, either by having revenues of $7.5 million
to $38.5 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 and
updated on February 26, 2016.) 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
[[Page 21010]]
Medicare payments. Therefore, we assume that all IRFs (an approximate
total of 1,120 IRFs, of which approximately 55 percent are nonprofit
facilities) are considered small entities and that Medicare payment
constitutes the majority of their revenues. The HHS generally uses a
revenue impact of 3 to 5 percent as a significance threshold under the
RFA. As shown in Table 14, we estimate that the net revenue impact of
this proposed rule on all IRFs is to increase estimated payments by
approximately 0.9 percent. The rates and policies set forth in this
proposed rule will not have a significant impact (not greater than 3
percent) 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 in this section, the rates and policies set forth in this
proposed rule will not have a significant impact (not greater than 3
percent) on a substantial number of rural hospitals based on the data
of the 137 rural units and 11 rural hospitals in our database of 1,124
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) (UMRA) 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 2018, that threshold is
approximately $150 million. This proposed rule does not mandate any
requirements for State, local, or tribal governments, or for the
private sector.
Executive Order 13132 establishes certain requirements that an
agency must meet when it promulgates a proposed rule (and subsequent
final rule) that imposes substantial direct requirement costs on state
and local governments, preempts state law, or otherwise has federalism
implications. As stated, this proposed rule will not have a substantial
effect on state and local governments, preempt state law, or otherwise
have a federalism implication.
Executive Order 13771, titled Reducing Regulation and Controlling
Regulatory Costs, was issued on January 30, 2017 and requires that the
costs associated with significant new regulations ``shall, to the
extent permitted by law, be offset by the elimination of existing costs
associated with at least two prior regulations.'' This proposed rule,
if finalized, is considered an E.O. 13771 deregulatory action. We
estimate that this rule would generate $46.49 million in annualized
cost savings, discounted at 7 percent relative to year 2016, over a
perpetual time horizon. Details on the estimated costs savings of this
rule can be found in the preceding analyses.
2. Detailed Economic Analysis
This proposed rule proposes updates to the IRF PPS rates contained
in the FY 2018 IRF PPS final rule (82 FR 36238). Specifically, this
proposed rule would update the CMG relative weights and average length
of stay values, the wage index, and the outlier threshold for high-cost
cases. This proposed rule would apply a MFP adjustment to the FY 2019
IRF market basket increase factor in accordance with section
1886(j)(3)(C)(ii)(I) of the Act, and a 0.75 percentage point reduction
to the FY 2019 IRF market basket increase factor in accordance with
sections 1886(j)(3)(C)(ii)(II) and (D)(v) of the Act. Further, this
proposed rule contains proposed revisions to remove the
FIMTM instrument and associated Function Modifiers from the
IRF-PAI beginning in FY 2020, revise certain IRF coverage requirements,
and to revise and update the IRF quality reporting requirements that
are expected to result in some additional financial effects on IRFs. In
addition, section IX.J. of this proposed 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 changes and updates described in
this proposed rule will be a net estimated increase of $75 million in
payments to IRF providers. This estimate 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 IX.J. of this
proposed rule). The impact analysis in Table 14 of this proposed rule
represents the projected effects of the updates to IRF PPS payments for
FY 2019 compared with the estimated IRF PPS payments in FY 2018. 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 2019, 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 2019 IRF
market basket increase factor in accordance with section
1886(j)(3)(C)(ii)(I) of the Act, and a 0.75 percentage point reduction
to the FY 2017 IRF market basket increase factor in accordance with
sections 1886(j)(3)(C)(ii)(II) and (D)(v) of the Act. We estimate the
total increase in payments to IRFs in FY 2019, relative to FY 2018,
will be approximately $75 million.
This estimate is derived from the application of the FY 2019 IRF
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 0.75
percentage point reduction in accordance with sections
1886(j)(3)(C)(ii)(II) and (D)(v) of the Act, which yields an estimated
increase in aggregate payments to IRFs of $110 million. Furthermore,
there is an additional estimated $35 million decrease in aggregate
payments to IRFs due to the proposed update to the outlier threshold
amount. Outlier payments are estimated to decrease from approximately
3.4 percent in FY 2018 to 3.0 percent in FY 2019. Therefore, summed
together, we estimate that these updates will result in a net increase
in estimated payments of $75 million from FY 2018 to FY 2019.
[[Page 21011]]
The effects of the proposed updates that impact IRF PPS payment
rates are shown in Table 14. 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 3.4 percent to 3.0 percent of
total estimated payments for FY 2019, consistent with section
1886(j)(4) of the Act.
The effects of the proposed annual market basket update
(using the IRF 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 0.75 percentage point reduction
in accordance with sections 1886(j)(3)(C)(ii)(II) and (D)(v) 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 2019 payment changes relative to the estimated FY 2018
payments.
3. Description of Table 14
Table 14 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 14 shows the overall impact on the 1,124 IRFs included in the
analysis.
The next 12 rows of Table 14 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 976 IRFs located in
urban areas included in our analysis. Among these, there are 707 IRF
units of hospitals located in urban areas and 269 freestanding IRF
hospitals located in urban areas. There are 148 IRFs located in rural
areas included in our analysis. Among these, there are 137 IRF units of
hospitals located in rural areas and 11 freestanding IRF hospitals
located in rural areas. There are 386 for-profit IRFs. Among these,
there are 346 IRFs in urban areas and 40 IRFs in rural areas. There are
621 non-profit IRFs. Among these, there are 534 urban IRFs and 87 rural
IRFs. There are 117 government-owned IRFs. Among these, there are 96
urban IRFs and 21 rural IRFs.
The remaining four parts of Table 14 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 are shown in the columns of
Table 14. The description of each column is as follows:
Column (1) shows the facility classification categories.
Column (2) shows the number of IRFs in each category in
our FY 2019 analysis file.
Column (3) shows the number of cases in each category in
our FY 2019 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 labor-related share and wage index, in a budget-
neutral manner.
Column (6) 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 (7) compares our estimates of the payments per
discharge, incorporating all of the proposed policies reflected in this
proposed rule for FY 2019 to our estimates of payments per discharge in
FY 2018.
The average estimated increase for all IRFs is approximately 0.9
percent. This estimated net increase includes the effects of the
proposed IRF market basket increase factor for FY 2019 of 2.9 percent,
reduced by a productivity adjustment of 0.8 percentage point in
accordance with section 1886(j)(3)(C)(ii)(I) of the Act, and further
reduced by 0.75 percentage point in accordance with sections
1886(j)(3)(C)(ii)(II) and (D)(v) of the Act. It also includes the
approximate 0.4 percent overall decrease 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 21012]]
Table 14--IRF Impact Table for FY 2019
[Columns 4 through 7 in percentage]
--------------------------------------------------------------------------------------------------------------------------------------------------------
FY 2019 CBSA
Facility classification Number of IRFs Number of Outlier wage index and CMG weights Total percent
cases labor-share change \1\
(1) (2) (3) (4) (5) (6) (7)
--------------------------------------------------------------------------------------------------------------------------------------------------------
Total................................................... 1,124 401,760 -0.4 0.0 0.0 0.9
Urban unit.............................................. 707 169,671 -0.7 0.0 0.0 0.7
Rural unit.............................................. 137 22,160 -0.5 -0.3 0.1 0.6
Urban hospital.......................................... 269 205,565 -0.2 0.0 0.0 1.2
Rural hospital.......................................... 11 4,364 -0.1 0.2 0.1 1.5
Urban For-Profit........................................ 346 202,800 -0.2 0.0 0.0 1.2
Rural For-Profit........................................ 40 8,534 -0.3 0.0 0.1 1.2
Urban Non-Profit........................................ 534 149,934 -0.6 0.0 0.0 0.8
Rural Non-Profit........................................ 87 14,874 -0.6 -0.4 0.1 0.5
Urban Government........................................ 96 22,502 -0.8 -0.1 0.0 0.5
Rural Government........................................ 21 3,116 -0.5 -0.2 0.1 0.7
Urban................................................... 976 375,236 -0.4 0.0 0.0 1.0
Rural................................................... 148 26,524 -0.5 -0.2 0.1 0.7
Urban by region:
Urban New England................................... 29 16,647 -0.2 0.0 0.0 1.1
Urban Middle Atlantic............................... 141 53,238 -0.4 0.0 0.0 0.9
Urban South Atlantic................................ 111 49,452 -0.4 -0.3 0.0 0.6
Urban East North Central............................ 172 48,452 -0.5 0.1 0.1 1.0
Urban East South Central............................ 55 35,750 -0.2 0.0 -0.1 1.1
Urban West North Central............................ 109 37,580 -0.4 -0.1 0.0 0.9
Urban West South Central............................ 183 81,790 -0.3 0.4 0.0 1.4
Urban Mountain...................................... 78 28,685 -0.4 -0.3 0.0 0.7
Urban Pacific....................................... 98 23,642 -0.9 0.1 0.0 0.5
Rural by region:
Rural New England................................... 5 1,279 -0.5 2.0 0.0 2.8
Rural Middle Atlantic............................... 11 1,439 -0.6 -0.5 0.0 0.3
Rural South Atlantic................................ 13 2,703 -0.2 -0.5 0.0 0.6
Rural East North Central............................ 25 4,533 -0.4 -0.6 0.1 0.3
Rural East South Central............................ 15 3,713 -0.2 -0.2 0.1 1.1
Rural West North Central............................ 29 4,665 -0.6 0.0 0.1 0.9
Rural West South Central............................ 40 7,141 -0.4 -0.5 0.1 0.5
Rural Mountain...................................... 6 699 -1.1 0.3 0.2 0.7
Rural Pacific....................................... 4 352 -1.9 -0.4 0.0 -0.9
Teaching status:
Non-teaching........................................ 1,016 356,200 -0.4 0.0 0.0 1.0
Resident to ADC less than 10%....................... 65 34,206 -0.5 0.0 0.0 0.8
Resident to ADC 10%-19%............................. 31 9,372 -0.7 0.0 0.0 0.7
Resident to ADC greater than 19%.................... 12 1,982 -0.5 0.5 0.0 1.4
Disproportionate share patient percentage (DSHPP):
DSH PP = 0%......................................... 36 10,174 -1.2 0.3 0.0 0.5
DSH PP <5%.......................................... 140 54,050 -0.3 0.0 0.0 1.1
DSH PP 5%-10%....................................... 294 126,929 -0.3 0.0 0.0 1.1
DSH PP 10%-20%...................................... 371 134,581 -0.4 0.0 0.0 0.9
DSH PP greater than 20%............................. 283 76,026 -0.5 -0.1 0.0 0.7
--------------------------------------------------------------------------------------------------------------------------------------------------------
\1\ This column includes the impact of the updates in columns (4), (5), and (6) above, and of the IRF market basket increase factor for FY 2019 (2.9
percent), reduced by 0.8 percentage point for the productivity adjustment as required by section 1886(j)(3)(C)(ii)(I) of the Act, and reduced by 0.75
percentage point in accordance with sections 1886(j)(3)(C)(ii)(II) and -(D)(v) of the Act.
4. 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 14. In the FY
2018 IRF PPS final rule (82 FR 36238), we used FY 2016 IRF claims data
(the best, most complete data available at that time) to set the
outlier threshold amount for FY 2018 so that estimated outlier payments
would equal 3 percent of total estimated payments for FY 2018.
For this proposed rule, we are using preliminary FY 2017 IRF claims
data, and, based on that preliminary analysis, we estimate that IRF
outlier payments as a percentage of total estimated IRF payments would
be 3.4 percent in FY 2018. 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 2019. The
estimated change in total IRF payments for FY 2019, therefore, includes
an approximate 0.4 percent decrease in payments because the estimated
outlier portion of total payments is estimated to decrease from
approximately 3.4 percent to 3 percent.
The impact of this proposed outlier adjustment update (as shown in
column 4 of Table 14) is to decrease estimated overall payments to IRFs
by about 0.4 percent. We estimate the largest decrease in payments from
the update to the outlier threshold amount to be 1.9 percent for rural
IRFs in the Pacific region.
[[Page 21013]]
5. Impact of the Proposed CBSA Wage Index and Labor-Related Share
In column 5 of Table 14, 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.C. of this proposed rule, we are proposing to update the
labor-related share from 70.7 percent in FY 2018 to 70.6 percent in FY
2019.
6. Impact of the Proposed Update to the CMG Relative Weights and
Average Length of Stay Values
In column 6 of Table 14, 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 proposed
updates will affect overall estimated payments of IRFs. However, we do
expect these updates to have small distributional effects.
7. Effects of the Proposed Removal of the FIMTM Instrument
and Associated Function Modifiers From the IRF-PAI Beginning in FY 2020
As discussed in section VII. of this proposed rule, we are
proposing to remove the FIMTM Instrument and Associated
Function Modifiers from the IRF-PAI beginning in FY 2020. We estimate
that removal of these data items from the IRF-PAI will reduce
administrative burden on IRF providers and reduce the costs incurred by
IRFs by $10.2 million for FY 2020.
8. Effects of Proposed Revisions to Certain IRF PPS Requirements
As discussed in section VIII. of this proposed rule, in response to
the RFI, we are proposing to remove and amend certain IRF coverage
criteria requirements that are overly burdensome on IRF providers
beginning in FY 2019, that is, all IRF discharges on or after October
1, 2018. We estimate that the removal and updates to these requirements
will reduce unnecessary regulatory and administrative burden on IRF
providers and reduce the costs incurred by IRFs by 40.5 million for FY
2019.
9. Effects of Proposed Requirements for the IRF QRP for FY 2020
In accordance with section 1886(j)(7) of the Act, we will reduce by
2 percentage points the market basket increase factor otherwise
applicable to an IRF for a fiscal year if the IRF does not comply with
the requirements of the IRF QRP for that fiscal year. In section VII.K
of this proposed rule, we discuss the proposed method for applying the
2 percentage point reduction to IRFs that fail to meet the IRF QRP
requirements.
As discussed in section IX.4. of this proposed rule, we are
proposing to remove two measures from the IRF QRP: Percent of Residents
or Patients Who Were Assessed and Appropriately Given the Seasonal
Influenza Vaccine (Short Stay) (NQF #0680) and National Healthcare
Safety Network (NHSN) Facility-wide Inpatient Hospital-onset
Methicillin-resistant Staphylococcus aureus (MRSA) Bacteremia Outcome
Measure (NQF #1716).
We describe the estimated burden and cost reductions for both of
these measures in section XI.C of this rule. In summary, the proposed
IRF QRP measure removals will result in a burden reduction of $2,160.66
per IRF annually, and $2,428,581.84 for all IRFs annually. We intend to
continue to closely monitor the effects of the quality reporting
program on IRFs and to help perpetuate successful reporting outcomes
through ongoing stakeholder education, national trainings, IRF
announcements, website postings, CMS Open Door Forums, and general and
technical help desks.
D. Alternatives Considered
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 IRF market basket
increase factor for FY 2019. 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 2019, and sections 1886(j)(3)(C)(ii)(II) and
1886(j)(3)(D)(v) of the Act require the Secretary to apply a 0.75
percentage point reduction to the market basket increase factor for FY
2019. Thus, in accordance with section 1886(j)(3)(C) of the Act, we
propose to update the IRF federal prospective payments in this proposed
rule by 1.35 percent (which equals the 2.9 percent estimated IRF market
basket increase factor for FY 2019 reduced by a 0.8 percentage point
productivity adjustment as required by section 1886(j)(3)(C)(ii)(I) of
the Act and further reduced by 0.75 percentage point).
We considered maintaining the existing CMG relative weights and
average length of stay values for FY 2019. 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
2019. However, as discussed in more detail in the FY 2015 final rule
(79 FR 45872), 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 the previous changes.
We considered maintaining the existing outlier threshold amount for
FY 2019. However, analysis of updated FY 2019 data indicates that
estimated outlier payments would be higher than 3 percent of total
estimated payments for FY 2019, by approximately 0.4 percent, unless we
updated the outlier threshold amount. Consequently, we propose
adjusting the outlier threshold amount in this proposed rule to reflect
a 0.4 percent decrease thereby setting the total outlier payments equal
to 3 percent, instead of 3.4 percent, of aggregate estimated payments
in FY 2019.
We considered not proposing to remove the FIMTM
instrument and associated Function Modifiers from the IRF-PAI in this
proposed rule. However, in light of recently available data located in
the Quality Indicators section of the IRF-PAI, we believe that removal
of the FIMTM instrument and associated Function Modifiers is
appropriate at this time. As the data items located in the Quality
Indicators section of the IRF-PAI are now collected for all IRFs, we
believe the collection of the FIM data is no longer necessary and
creates undue burden on providers. Consequently, we propose removing
these data items from the IRF-PAI beginning with FY 2020. Additionally,
the proposed removal of
[[Page 21014]]
the FIMTM Instrument and associated Function Modifiers would
necessitate the incorporation of the data items from the Quality
Indicators section of the IRF-PAI into the CMG classification system.
To ensure that the CMGs, 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
incorporate the data items from the Quality Indicators section of the
IRF-PAI into the development of the CMGs beginning with FY 2020.
We considered not proposing revisions to certain IRF PPS
requirements in order to reduce burden in this proposed rule. However,
after the response that we received from providers regarding the RFI
solicitation, we believed that there were areas in which we could
reduce unnecessary regulatory and administrative burden on IRF
providers, while ensuring that IRF patients would continue to receive
adequate care.
E. Regulatory Review Costs
If regulations impose administrative costs on private entities,
such as the time needed to read and interpret this proposed rule, we
should estimate the cost associated with regulatory review. Due to the
uncertainty involved with accurately quantifying the number of entities
that will review the rule, we assume that the total number of unique
commenters on FY 2018 IRF PPS proposed rule will be the number of
reviewers of this proposed rule. We acknowledge that this assumption
may understate or overstate the costs of reviewing this proposed rule.
It is possible that not all commenters reviewed the FY 2018 IRF PPS
proposed rule in detail, and it is also possible that some reviewers
chose not to comment on the proposed rule. For these reasons we thought
that the number of past commenters would be a fair estimate of the
number of reviewers of this rule. We welcome any comments on the
approach in estimating the number of entities which will review this
proposed rule.
We also recognize that different types of entities are in many
cases affected by mutually exclusive sections of this proposed rule,
and therefore for the purposes of our estimate we assume that each
reviewer reads approximately 50 percent of the rule. We seek comments
on this assumption.
Using the wage information from the BLS for medical and health
service managers (Code 11-9111), we estimate that the cost of reviewing
this rule is $105.16 per hour, including overhead and fringe benefits
https://www.bls.gov/oes/current/oes_nat.htm. Assuming an average
reading speed, we estimate that it would take approximately 2 hours for
the staff to review half of this proposed rule. For each IRF that
reviews the rule, the estimated cost is $210.32 (2 hours x $105.16).
Therefore, we estimate that the total cost of reviewing this regulation
is $15,984.32 ($210.32 x 76 reviewers).
F. Accounting Statement and Table
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 15, we have prepared an accounting statement showing
the classification of the expenditures associated with the provisions
of this proposed rule. Table 15 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
1,124 IRFs in our database. In addition, Table 15 presents the costs
associated with the proposed new IRF quality reporting program
requirements for FY 2019.
TABLE 15--Accounting Statement: Classification of Estimated Expenditure
----------------------------------------------------------------------------------------------------------------
Change in estimated transfers from FY 2018 IRF PPS to FY 2019 IRF PPS
-----------------------------------------------------------------------------------------------------------------
Category Transfers
----------------------------------------------------------------------------------------------------------------
Annualized Monetized Transfers.......... $75 million.
From Whom to Whom?...................... Federal Government to IRF Medicare Providers.
----------------------------------------------------------------------------------------------------------------
Change in Estimated Costs.......................................................................................
----------------------------------------------------------------------------------------------------------------
Category Costs
----------------------------------------------------------------------------------------------------------------
Annualized monetized cost in FY 2019 for Reduction of $40.5 million.
IRFs due to the removal of certain IRF
coverage requirements.
Annualized monetized cost in FY 2020 for Reduction of $10.2 million.
IRFs due to the removal of FIM\TM\
instrument and associated Function
Modifiers from the IRF-PAI.
Annualized monetized cost in FY 2019 for Reduction of $2.4 million.
IRFs due to new quality reporting
program requirements.
----------------------------------------------------------------------------------------------------------------
G. Conclusion
Overall, the estimated payments per discharge for IRFs in FY 2019
are projected to increase by 0.9 percent, compared with the estimated
payments in FY 2018, as reflected in column 7 of Table 15.
IRF payments per discharge are estimated to increase by 1.0 percent
in urban areas and 0.7 percent in rural areas, compared with estimated
FY 2018 payments. Payments per discharge to rehabilitation units are
estimated to increase 0.7 percent in urban areas and 0.6 percent in
rural areas. Payments per discharge to freestanding rehabilitation
hospitals are estimated to increase 1.2 percent in urban areas and
increase 1.5 percent in rural areas.
Overall, IRFs are estimated to experience a net increase in
payments as a result of the proposed policies in this proposed rule.
The largest payment increase is estimated to be a 2.8 percent increase
for rural IRFs located in the New England region. The analysis above,
together with the remainder of this preamble, provides a Regulatory
Impact Analysis.
In accordance with the provisions of Executive Order 12866, this
regulation was reviewed by the Office of Management and Budget.
List of Subjects in 42 CFR Part 412
Administrative practice and procedure, Health facilities, Medicare,
Puerto Rico, Reporting and recordkeeping requirements.
For the reasons set forth in the preamble, the Department of Health
and
[[Page 21015]]
Human Services proposes to amend 42 CFR chapter IV as set forth below:
PART 412--PROSPECTIVE PAYMENT SYSTEMS FOR INPATIENT HOSPITAL
SERVICES
0
1. The authority citation for part 412 continues to read as follows:
Authority: Secs. 1102 and 1871 of the Social Security Act (42
U.S.C. 1302 and 1395hh); sec. 124 of Pub. L. 106-113 (113 Stat.
1501A-332); sec. 1206 of Pub. L. 113-67; sec. 112 of Pub. L. 113-93;
sec. 231 of Pub. L. 114-113; and secs. 15004, 15006, 15007, 15008,
15009, and 15010 of Pub. L. 114-255.
Sec. 412.606 [Amended]
0
2. Section 412.606 is amended by--
0
a. Removing paragraph (a); and
0
b. Redesignating paragraphs (b) and (c) as paragraphs (a) and (b).
0
3. Section 412.622 is amended by--
0
a. Revising paragraph (a)(3)(iv);
0
b. Redesignating paragraphs (a)(5)(A) through (C) as paragraphs
(a)(5)(i) through (iii); and
0
c. Revising newly redesignated paragraph (a)(5)(i).
The revisions read as follows:
Sec. 412.622 Basis of payment.
(a) * * *
(3) * * *
(iv) Requires physician supervision by a rehabilitation physician,
defined as a licensed physician with specialized training and
experience in inpatient rehabilitation. The requirement for medical
supervision means that the rehabilitation physician must conduct face-
to-face visits with the patient at least 3 days per week throughout the
patient's stay in the IRF to assess the patient both medically and
functionally, as well as to modify the course of treatment as needed to
maximize the patient's capacity to benefit from the rehabilitation
process. The post-admission physician evaluation described in paragraph
(a)(4)(ii) of this section may count as one of the face-to-face visits.
* * * * *
(5) * * *
(i) The team meetings are led by a rehabilitation physician as
defined in paragraph (a)(3)(iv) of this section, and further consist of
a registered nurse with specialized training or experience in
rehabilitation; a social worker or case manager (or both); and a
licensed or certified therapist from each therapy discipline involved
in treating the patient. All team members must have current knowledge
of the patient's medical and functional status. The rehabilitation
physician may lead the interdisciplinary team meeting remotely via a
mode of communication such as video or telephone conferencing.
* * * * *
0
4. Section 412.624 is amended by revising paragraph (c)(4)(i) and
adding paragraph (c)(4)(iii) to read as follows:
Sec. 412.624 Methodology for calculating the Federal prospective
payment rates.
* * * * *
(c) * * *
(4) * * *
(i) In the case of an IRF that is paid under the prospective
payment system specified in Sec. 412.1(a)(3) of this part that does
not submit quality data to CMS in accordance with Sec. 412.634, the
applicable increase factor specified in paragraph (a)(3) of this
section, after application of paragraphs (C)(iii) and (D) of section
1886(j)(3) of the Act, is reduced by 2 percentage points.
* * * * *
(iii) The 2 percentage point reduction described in paragraph
(c)(4)(i) of this section may result in the applicable increase factor
specified in paragraph (a)(3) of this section being less than 0.0 for a
fiscal year, and may result in payment rates under the prospective
payment system specified in Sec. 412.1(a)(3) of this part for a fiscal
year being less than such payment rates for the preceding fiscal year.
* * * * *
0
5. Section 412.634 is amended by revising the paragraph (b) subject
heading and paragraphs (b)(1) and (2) and (d)(1) and (5) to read as
follows:
Sec. 412.634 Requirements under the Inpatient Rehabilitation
Facility (IRF) Quality Reporting Program (QRP).
* * * * *
(b) Submission requirements. (1) IRFs must submit to CMS data on
measures specified under sections 1886(j)(7)(D), 1899B(c)(1),
1899B(d)(1) of the Act, and standardized patient assessment data
required under section 1899B(b)(1) of the Act, as applicable. Such data
must be submitted in the form and manner, and at a time, specified by
CMS.
(2) CMS may remove a quality measure from the IRF QRP based on one
or more of the following factors:
(i) Measure performance among IRFs is so high and unvarying that
meaningful distinctions in improvements in performance can no longer be
made;
(ii) Performance or improvement on a measure does not result in
better patient outcomes;
(iii) The measure does not align with current clinical guidelines
or practice;
(iv) A more broadly applicable measure (across settings,
populations, or conditions) for the particular topic is available;
(v) A measure that is more proximal in time to desired patient
outcomes for the particular topic is available;
(vi) A measure that is more strongly associated with desired
patient outcomes for the particular topic is available;
(vii) The collection or public reporting of the measure leads to
negative unintended consequences other than patient harm;
(viii) The costs associated with the measure outweigh the benefit
of its continued use in the IRF QRP.
* * * * *
(d) * * *
(1) IRFs that do not meet the requirement in paragraph (b) of this
section for a program year will receive a written notification of non-
compliance through at least one of the following methods: Quality
Improvement and Evaluation System Assessment Submission and Processing
(QIES ASAP) system, the United States Postal Service, or via an email
from the Medicare Administrative Contractor (MAC).
* * * * *
(5) CMS will notify IRFs, in writing, of its final decision
regarding any reconsideration request through at least one of the
following methods: QIES ASAP system, the United States Postal Service,
or via an email from the Medicare Administrative Contractor (MAC).
* * * * *
Dated: April 18, 2018.
Seema Verma,
Administrator, Centers for Medicare & Medicaid Services.
Dated: April 20, 2018.
Alex M. Azar II,
Secretary, Department of Health and Human Services.
[FR Doc. 2018-08961 Filed 4-27-18; 4:15 pm]
BILLING CODE 4120-01-P