Medicare Program; Inpatient Rehabilitation Facility Prospective Payment System for Federal Fiscal Year 2012; Changes in Size and Square Footage of Inpatient Rehabilitation Units and Inpatient Psychiatric Units, 47836-47915 [2011-19516]
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Federal Register / Vol. 76, No. 151 / Friday, August 5, 2011 / Rules and Regulations
Hillary Loeffler, (410) 786–0456, for
information about the payment rates.
Susanne Seagrave, (410) 786–0044, for
information about the payment
policies.
Judith C. Tobin, (410) 786–6892, for
information about the quality
reporting program.
SUPPLEMENTARY INFORMATION:
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Centers for Medicare & Medicaid
Services
42 CFR Part 412
[CMS–1349–F]
RIN 0938–AQ28
Medicare Program; Inpatient
Rehabilitation Facility Prospective
Payment System for Federal Fiscal
Year 2012; Changes in Size and Square
Footage of Inpatient Rehabilitation
Units and Inpatient Psychiatric Units
Centers for Medicare &
Medicaid Services (CMS), HHS.
ACTION: Final rule.
AGENCY:
This final rule will implement
section 3004 of the Affordable Care Act,
which establishes a new quality
reporting program that provides for a 2
percent reduction in the annual increase
factor beginning in 2014 for failure to
report quality data to the Secretary of
Health and Human Services. This final
rule will also update the prospective
payment rates for inpatient
rehabilitation facilities (IRFs) for
Federal fiscal year (FY) 2012 (for
discharges occurring on or after October
1, 2011 and on or before September 30,
2012) as required under section
1886(j)(3)(C) of the Social Security Act
(the Act). Section 1886(j)(5) of the Act
requires the Secretary to publish in the
Federal Register on or before the August
1 that precedes the start of each FY the
classification and weighting factors for
the IRF prospective payment system
(PPS) case-mix groups and a description
of the methodology and data used in
computing the prospective payment
rates for that fiscal year. We are also
consolidating, clarifying, and revising
existing policies regarding IRF hospitals
and IRF units of hospitals to eliminate
unnecessary confusion and enhance
consistency. Furthermore, in accordance
with the general principles of the
President’s January 18, 2011 Executive
Order entitled ‘‘Improving Regulation
and Regulatory Review,’’ we are
amending existing regulatory provisions
regarding ’’new’’ facilities and changes
in the bed size and square footage of
IRFs and inpatient psychiatric facilities
(IPFs) to improve clarity and remove
obsolete material.
DATES: Effective Date: This final rule
becomes effective on October 1, 2011.
FOR FURTHER INFORMATION CONTACT:
Gwendolyn Johnson, (410) 786–6954,
for general information about the final
rule.
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SUMMARY:
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Table of Contents
To assist readers in referencing
sections contained in this document, we
are providing the following table of
contents.
I. Background
A. Historical Overview of the Inpatient
Rehabilitation Facility Prospective
Payment System (IRF PPS)
B. Provisions of the Affordable Care Act
Affecting the IRF PPS in FY 2012 and
Beyond
C. Operational Overview of the Current IRF
PPS
II. Summary of Provisions of the Proposed
Rule
A. Proposed Updates to the IRF Federal
Prospective Payment Rates for Federal
Fiscal Year (FY) 2012
B. Proposed Revisions to Existing
Regulation Text
III. Analysis and Responses to Public
Comments
IV. Update to the Case-Mix Group (CMG)
Relative Weights and Average Length of
Stay Values for FY 2012
V. Updates to the Facility-Level Adjustment
Factors for FY 2012
A. Updates to the IRF Facility-Level
Adjustment Factors
B. Policy for Temporary Cap Adjustments
To Reflect Interns and Residents
Displaced Due to Closure of IRFs or IRF
Residency Training Programs
1. Background
2. FTE Intern and Resident Temporary Cap
Adjustment
3. Temporary Adjustment to the FTE Cap
To Reflect Interns and Residents
Displaced Due to IRF Closure
4. Temporary Adjustment to the FTE Cap
To Reflect Interns and Residents
Displaced Due to a Residency Program
Closure
VI. FY 2012 IRF PPS Federal Prospective
Payment Rates
A. Market Basket Increase Factor,
Productivity Adjustment, and LaborRelated Share for FY 2012
1. Rebasing and Revising of the RPL Market
Basket Used for IRF PPS for FY 2012
2. Productivity Adjustment
3. Calculation of the IRF PPS Market
Basket Increase Factor for FY 2012
4. Calculation of the Labor-Related Share
for FY 2012
B. Area Wage Adjustment
C. Description of the IRF Standard
Conversion Factor and Payment Rates for
FY 2012
D. Example of the Methodology for
Adjusting the Federal Prospective
Payment Rates
VII. Update to Payments for High-Cost
Outliers Under the IRF PPS
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A. Update to the Outlier Threshold
Amount for FY 2012
B. Update to the IRF Cost-to-Charge Ratio
Ceilings
VIII. Impact of the IPPS Data Matching
Process Changes on the IRF PPS
Calculation of the Low-Income
Percentage Adjustment Factor
IX. Updates to the Policies in 42 CFR Part
412
A. Consolidation of the Requirements for
Rehabilitation Hospitals and
Rehabilitation Units
B. Revisions to the Regulations at § 412.29
C. Revisions to the Requirements for
Changes in Bed Size and Square Footage
D. Revisions To Enhance Consistency
Between the IRF Coverage and Payment
Requirements
X. Quality Reporting Program for IRFs
A. Background and Statutory Authority
B. Quality Measures for IRF Quality
Reporting Program for FY 2014
1. General
2. Considerations in the Selection of the
Quality Measures
3. FY 2014 Measure #1: Healthcare
Associated Infection Measure (HAI):
Urinary Catheter-Associated Urinary
Tract Infections (CAUTI)
4. FY 2014 Measure #2: Percent of Patients
With Pressure Ulcers That Are New or
Worsened
5. Potential FY 2014 Measure #3: 30-Day
Comprehensive All Cause Risk
Standardized Readmission Measure
C. Data Submission Requirements
1. Method of Data Submission for HAI
Measure (CAUTI)
2. Method of Data Submission for the
Percent of Patients With New or
Worsened Pressure Ulcer Measure.
3. Potential Method of Data Submission for
the 30-Day Comprehensive All-Cause
Risk-Standardized Readmission
Measure.
D. Public Reporting
E. Quality Measures for Future
Consideration for Determination of
Increase Factors for Future Fiscal Year
Payments
F. New Regulation Text for the IRF Quality
Reporting Program
XI. Miscellaneous Comments
XII. Provisions of the Final Regulations
XIII. Collection of Information Requirements
XIV. Economic Analyses
A. Regulatory Impact Analysis
1. Introduction
2. Statement of Need
3. Overall Impacts
4. Detailed Economic Analysis
5. Alternatives Considered
6. Accounting Statement
7. Conclusion
B. Regulatory Flexibility Act Analysis
C. Unfunded Mandates Reform Act
Analysis
XV. Federalism Analysis
Regulation Text
Addendum
Acronyms
To assist the reader, we are listing the
acronyms used and their corresponding
meaning in alphabetical order.
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ADC Average Daily Census
AHA American Hospital Association
ASCA Administrative Simplification
Compliance Act of 2002, Public Law 107–
105
BBA Balanced Budget Act of 1997, Public
Law 105–33
BBRA Medicare, Medicaid, and SCHIP
[State Children’s Health Insurance
Program] Balanced Budget Refinement Act
of 1999, Public Law 106–113
BEA Bureau of Economic Analysis
BIPA Medicare, Medicaid, and SCHIP [State
Children’s Health Insurance Program]
Benefits Improvement and Protection Act
of 2000, Public Law 106–554
BLS Bureau of Labor Statistics
CAH Critical Access Hospital
CAUTI Catheter-Associated Urinary Tract
Infection
CBSA Core-Based Statistical Area
CDC Centers for Disease Control and
Prevention
CCR Cost-to-Charge Ratio
CFR Code of Federal Regulations
CIPI Capital Input Price Index
CMG Case-Mix Group
CMS Centers for Medicare & Medicaid
Services
CPI Consumer Price Index
DSH Disproportionate Share Hospital
ECI Employment Cost Index
EHR Electronic Health Record
FI Fiscal Intermediary
FR Federal Register
FTE Full-time Equivalent
FY Federal Fiscal Year
GDP Gross Domestic Product
GME Graduate Medical Education
HAI Healthcare Associated Infection
HHH Hubert H. Humphrey Building
HHS Department of Health and Human
Services
HIPAA Health Insurance Portability and
Accountability Act of 1996, Public Law
104–191
HOMER Home Office Medicare Records
IGI IHS Global Insight
IME Indirect Medical Education
I–O Input-Output
IPF Inpatient Psychiatric Facility
IPPS Inpatient Prospective Payment System
IRF Inpatient Rehabilitation Facility
IRF–PAI Inpatient Rehabilitation Facility—
Patient Assessment Instrument
IRF PPS Inpatient Rehabilitation Facility
Prospective Payment System
IRVEN Inpatient Rehabilitation Validation
and Entry
LTCH Long Term Care Hospital
LIP Low-Income Percentage
LOS Length of Stay
MA Medicare Advantage
MAC Medicare Administrative Contractor
MedPAR Medicare Provider Analysis and
Review
MFP Multifactor Productivity
MMSEA Medicare, Medicaid, and SCHIP
Extension Act of 2007, Public Law 110—
173
MSA Metropolitan Statistical Area
NAICS North American Industry
Classification System
NHSN National Healthcare Safety Network
NQF National Quality Forum
OMB Office of Management and Budget
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PLI Professional Liability Insurance
PPI Producer Price Indexes
PPS Prospective Payment System
QM Quality Measure
RFA Regulatory Flexibility Act of 1980,
Public Law 96–354
RIA Regulatory Impact Analysis
RIC Rehabilitation Impairment Category
RO Regional Office
RP Rehabilitation and Psychiatric
RPL Rehabilitation, Psychiatric, and LongTerm Care Hospital
SCHIP State Children’s Health Insurance
Program
SSI Supplemental Security Income
TEFRA Tax Equity and Fiscal
Responsibility Act of 1982, Public Law 97–
248
I. Background
A. Historical Overview of the Inpatient
Rehabilitation Facility Prospective
Payment System (IRF PPS)
Section 4421 of the Balanced Budget
Act of 1997 (Pub. L. 105–33, enacted on
August 5, 1997) (BBA), as amended by
section 125 of the Medicare, Medicaid,
State Children’s Health Insurance
Program (SCHIP) Balanced Budget
Refinement Act of 1999 (Pub. L. 106–
113, enacted on November 29, 1999)
(BBRA) and by section 305 of the
Medicare, Medicaid, and SCHIP
Benefits Improvement and Protection
Act of 2000 (Pub. L. 106–554, enacted
on December 21, 2000) (BIPA) provides
for the implementation of a per
discharge prospective payment system
(PPS) under section 1886(j) of the Social
Security Act (the Act) for inpatient
rehabilitation hospitals and inpatient
rehabilitation units of a hospital
(hereinafter referred to as IRFs).
Payments under the IRF PPS
encompass inpatient operating and
capital costs of furnishing covered
rehabilitation services (that is, routine,
ancillary, and capital costs) but not
direct graduate medical education costs,
costs of approved nursing and allied
health education activities, bad debts,
and other services or items outside the
scope of the IRF PPS. Although a
complete discussion of the IRF PPS
provisions appears in the original FY
2002 IRF PPS final rule (66 FR 41316)
and the FY 2006 IRF PPS final rule (70
FR 47880), we are providing below a
general description of the IRF PPS for
fiscal years (FYs) 2002 through 2010.
Under the IRF PPS from FY 2002
through FY 2005, as described in the FY
2002 IRF PPS final rule (66 FR 41316),
the Federal prospective payment rates
were computed across 100 distinct casemix groups (CMGs). We constructed 95
CMGs using rehabilitation impairment
categories (RICs), functional status (both
motor and cognitive), and age (in some
cases, cognitive status and age may not
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be a factor in defining a CMG). In
addition, we constructed 5 special
CMGs to account for very short stays
and for patients who expire in the IRF.
For each of the CMGs, we developed
relative weighting factors to account for
a patient’s clinical characteristics and
expected resource needs. Thus, the
weighting factors accounted for the
relative difference in resource use across
all CMGs. Within each CMG, we created
tiers based on the estimated effects that
certain comorbidities would have on
resource use.
We established the Federal PPS rates
using a standardized payment
conversion factor (formerly referred to
as the budget neutral conversion factor).
For a detailed discussion of the budget
neutral conversion factor, please refer to
our FY 2004 IRF PPS final rule (68 FR
45684 through 45685). In the FY 2006
IRF PPS final rule (70 FR 47880), we
discussed in detail the methodology for
determining the standard payment
conversion factor.
We applied the relative weighting
factors to the standard payment
conversion factor to compute the
unadjusted Federal prospective
payment rates under the IRF PPS from
FYs 2002 through 2005. Within the
structure of the payment system, we
then made adjustments to account for
interrupted stays, transfers, short stays,
and deaths. Finally, we applied the
applicable adjustments to account for
geographic variations in wages (wage
index), the percentage of low-income
patients, location in a rural area (if
applicable), and outlier payments (if
applicable) to the IRF’s unadjusted
Federal prospective payment rates.
For cost reporting periods that began
on or after January 1, 2002 and before
October 1, 2002, we determined the
final prospective payment amounts
using the transition methodology
prescribed in section 1886(j)(1) of the
Act. Under this provision, IRFs
transitioning into the PPS were paid a
blend of the Federal IRF PPS rate and
the payment that the IRF would have
received had the IRF PPS not been
implemented. This provision also
allowed IRFs to elect to bypass this
blended payment and immediately be
paid 100 percent of the Federal IRF PPS
rate. The transition methodology
expired as of cost reporting periods
beginning on or after October 1, 2002
(FY 2003), and payments for all IRFs
now consist of 100 percent of the
Federal IRF PPS rate.
We established a CMS Web site as a
primary information resource for the
IRF PPS. The Web site URL is https://
www.cms.gov/InpatientRehabFacPPS/
and may be accessed to download or
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view publications, software, data
specifications, educational materials,
and other information pertinent to the
IRF PPS.
Section 1886(j) of the Act confers
broad statutory authority upon the
Secretary to propose refinements to the
IRF PPS. In the FY 2006 IRF PPS final
rule (70 FR 47880) and in correcting
amendments to the FY 2006 IRF PPS
final rule (70 FR 57166) that we
published on September 30, 2005, we
finalized a number of refinements to the
IRF PPS case-mix classification system
(the CMGs and the corresponding
relative weights) and the case-level and
facility-level adjustments. These
refinements included the adoption of
the Office of Management and Budget’s
(OMB) Core-Based Statistical Area
(CBSA) market definitions,
modifications to the CMGs, tier
comorbidities, and CMG relative
weights, implementation of a new
teaching status adjustment for IRFs,
revision and rebasing of the market
basket index used to update IRF
payments, and updates to the rural, lowincome percentage (LIP), and high-cost
outlier adjustments. Beginning with the
FY 2006 IRF PPS final rule (70 FR 47908
through 47917), the market basket index
used to update IRF payments is a market
basket reflecting the operating and
capital cost structures for freestanding
IRFs, freestanding inpatient psychiatric
facilities (IPFs), and long-term care
hospitals (LTCHs) (hereafter referred to
as the rehabilitation, psychiatric, and
long-term care (RPL) market basket).
Any reference to the FY 2006 IRF PPS
final rule in this final rule also includes
the provisions effective in the correcting
amendments. For a detailed discussion
of the final key policy changes for FY
2006, please refer to the FY 2006 IRF
PPS final rule (70 FR 47880 and 70 FR
57166).
In the FY 2007 IRF PPS final rule (71
FR 48354), we further refined the IRF
PPS case-mix classification system (the
CMG relative weights) and the caselevel adjustments, to ensure that IRF
PPS payments would continue to reflect
as accurately as possible the costs of
care. For a detailed discussion of the FY
2007 policy revisions, please refer to the
FY 2007 IRF PPS final rule (71 FR
48354).
In the FY 2008 IRF PPS final rule (72
FR 44284), we updated the Federal
prospective payment rates and the
outlier threshold, revised the IRF wage
index policy, and clarified how we
determine high-cost outlier payments
for transfer cases. For more information
on the policy changes implemented for
FY 2008, please refer to the FY 2008 IRF
PPS final rule (72 FR 44284), in which
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we published the final FY 2008 IRF
Federal prospective payment rates.
After publication of the FY 2008 IRF
PPS final rule (72 FR 44284), section
115 of the Medicare, Medicaid, and
SCHIP Extension Act of 2007 (Pub. L.
110–173, enacted on December 29,
2007) (MMSEA), amended section
1886(j)(3)(C) of the Act to apply a zero
percent increase factor for FYs 2008 and
2009, effective for IRF discharges
occurring on or after April 1, 2008.
Section 1886(j)(3)(C) of the Act required
the Secretary to develop an increase
factor to update the IRF Federal
prospective payment rates for each FY.
Based on the legislative change to the
increase factor, we revised the FY 2008
Federal prospective payment rates for
IRF discharges occurring on or after
April 1, 2008. Thus, the final FY 2008
IRF Federal prospective payment rates
that were published in the FY 2008 IRF
PPS final rule (72 FR 44284) were
effective for discharges occurring on or
after October 1, 2007 and on or before
March 31, 2008; and the revised FY
2008 IRF Federal prospective payment
rates were effective for discharges
occurring on or after April 1, 2008 and
on or before September 30, 2008. The
revised FY 2008 Federal prospective
payment rates are available on the CMS
Web site at https://www.cms.gov/
InpatientRehabFacPPS/
07_DataFiles.asp#TopOfPage.
In the FY 2009 IRF PPS final rule (73
FR 46370), we updated the CMG relative
weights, the average length of stay
values, and the outlier threshold;
clarified IRF wage index policies
regarding the treatment of ‘‘New
England deemed’’ counties and multicampus hospitals; and revised the
regulation text in response to section
115 of the MMSEA to set the IRF
compliance percentage at 60 percent
(‘‘the 60 percent rule’’) and continue the
practice of including comorbidities in
the calculation of compliance
percentages. We also applied a zero
percent market basket increase factor for
FY 2009 in accordance with section 115
of the MMSEA. For more information on
the policy changes implemented for FY
2009, please refer to the FY 2009 IRF
PPS final rule (73 FR 46370), in which
we published the final FY 2009 IRF
Federal prospective payment rates.
In the FY 2010 IRF PPS final rule (74
FR 39762) and in correcting
amendments to the FY 2010 IRF PPS
final rule (74 FR 50712) that we
published on October 1, 2009, we
updated the Federal prospective
payment rates, the CMG relative
weights, the average length of stay
values, the rural, LIP, and teaching
status adjustment factors, and the
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outlier threshold; implemented new IRF
coverage requirements for determining
whether an IRF claim is reasonable and
necessary; and revised the regulation
text to require IRFs to submit patient
assessments on Medicare Advantage
(MA) (Medicare Part C) patients for use
in the 60 percent rule calculations. Any
reference to the FY 2010 IRF PPS final
rule in this final rule also includes the
provisions effective in the correcting
amendments. For more information on
the policy changes implemented for FY
2010, please refer to the FY 2010 IRF
PPS final rule (74 FR 39762 and 74 FR
50712), in which we published the final
FY 2010 IRF Federal prospective
payment rates.
After publication of the FY 2010 IRF
PPS final rule (74 FR 39762), section
3401(d) of the Patient Protection and
Affordable Care Act (Pub. L. 111–148,
enacted on March 23, 2010) as amended
by section 10319 of the same Act and by
section 1105 of the Health Care and
Education Reconciliation Act of 2010
(Pub. L. 111–152, enacted on March 30,
2010) (collectively, hereafter referred to
as ‘‘The Affordable Care Act’’), amended
section 1886(j)(3)(C) of the Act and
added section 1886(j)(3)(D) of the Act.
Section 1886(j)(3)(C) of the Act requires
the Secretary to estimate a multi-factor
productivity adjustment to the market
basket increase factor, and to apply
other adjustments as defined by the Act.
The productivity adjustment applies to
FYs from 2012 forward. The other
adjustments apply to FYs 2010–2019.
Sections 1886(j)(3)(C)(ii)(II) and
1886(j)(3)(D)(i) of the Act defined the
adjustments that were to be applied to
the market basket increase factors in
FYs 2010 and 2011. Under these
provisions, the Secretary was required
to reduce the market basket increase
factor in FY 2010 by a 0.25 percentage
point adjustment. Notwithstanding this
provision, in accordance with section
3401(p) of the Affordable Care Act, the
adjusted FY 2010 rate was only to be
applied to discharges occurring on or
after April 1, 2010. Based on the selfimplementing legislative changes to
section 1886(j)(3) of the Act, we
adjusted the FY 2010 Federal
prospective payment rates as required,
and applied these rates to IRF
discharges occurring on or after April 1,
2010 and on or before September 30,
2010. Thus, the final FY 2010 IRF
Federal prospective payment rates that
were published in the FY 2010 IRF PPS
final rule (74 FR 39762) were used for
discharges occurring on or after October
1, 2009 and on or before March 31,
2010; and the adjusted FY 2010 IRF
Federal prospective payment rates
applied to discharges occurring on or
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after April 1, 2010 and on or before
September 30, 2010. The adjusted FY
2010 Federal prospective payment rates
are available on the CMS Web site at
https://www.cms.gov/
InpatientRehabFacPPS/
07_DataFiles.asp#TopOfPage.
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)(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,
November 16, 2010) described the
required adjustments to the FY 2011
and FY 2010 IRF PPS Federal
prospective payment rates and outlier
threshold amount for IRF discharges
occurring on or after April 1, 2010 and
on or before September 30, 2011. It also
updated the FY 2011 Federal
prospective payment rates, the CMG
relative weights, and the average length
of stay values. Any reference to the FY
2011 IRF PPS notice in this final 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).
B. Provisions of the Affordable Care Act
Affecting the IRF PPS in FY 2012 and
Beyond
The Affordable Care Act included
several provisions that affect the IRF
PPS in FYs 2012 and beyond. In
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addition to what was discussed above,
section 3401(d) of the Affordable Care
Act 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 2012 is discussed in
section VI.A.6 of this final rule, and the
0.1 percentage point reduction is
discussed in section VI.A of this final
rule. Section 1886(j)(3)(C)(ii)(II) of the
Act notes that the application of these
adjustments to the market basket update
may result in an update that is less than
0.0 for a fiscal year and in payment rates
for a fiscal year being less than payment
rates for the preceding fiscal year.
Section 3004(b) of the Affordable Care
Act also addressed the IRF PPS
program. It reassigned the previouslydesignated section 1886(j)(7) of the Act
to section 1886(j)(8) and inserted a new
section 1886(j)(7) of the Act, which
contains new requirements for the
Secretary to establish a quality reporting
program for IRFs. Under that program,
data must be submitted in a form and
manner, and at a time specified by the
Secretary. Beginning in FY 2014, section
1886(j)(7)(A)(i) of the Act will require
application of a 2 percentage point
reduction to the applicable market
basket increase factor for IRFs that fail
to comply with the quality data
submission requirements. Application
of the 2 percentage point reduction may
result in an update that is less than 0.0
for a fiscal year and in payment rates for
a fiscal year being less than payment
rates for the preceding fiscal year.
Reporting-based reductions to the
market basket increase factor will not be
cumulative; they will only apply for the
FY involved.
Under section 1886(j)(7)(D)(i) and (ii)
of the Act, the Secretary is generally
required to select quality measures for
the IRF quality reporting program from
those that have been endorsed by the
consensus-based entity which holds a
performance measurement contract
under section 1890(a) of the Act. This
contract is currently held by the
National Quality Forum (NQF). So long
as due consideration is given to
measures that have been endorsed or
adopted by a consensus-based
organization, section 1886(j)(7)(D)(ii) of
the Act authorizes the Secretary to
select non-endorsed measures for
specified areas or medical topics when
there are no feasible or practical
endorsed measure(s). Under section
1886(j)(7)(D)(iii) of the Act, the
Secretary is required to publish the
measures that will be used in FY 2014
no later than October 1, 2012.
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47839
Section 1886(j)(7)(E) of the Act
requires the Secretary to establish
procedures for making the IRF PPS
quality reporting data available to the
public. Also, the Secretary must ensure
that IRFs have the opportunity to review
any data prior to its release to the
public. Future rulemaking will address
these public reporting obligations.
The quality reporting program for
IRFs, in accordance with section
1886(j)(7) of the Act, is discussed in
detail in section X. of this final rule.
C. Operational Overview of the Current
IRF PPS
As described in the FY 2002 IRF PPS
final rule, upon the admission and
discharge of a Medicare Part A fee-forservice patient, the IRF is required to
complete the appropriate sections of a
patient assessment instrument,
designated as the Inpatient
Rehabilitation Facility-Patient
Assessment Instrument (IRF–PAI). In
addition, beginning with IRF discharges
occurring on or after October 1, 2009,
the IRF is also required to complete the
appropriate sections of the IRF–PAI
upon the admission and discharge of
each Medicare Part C (Medicare
Advantage) patient, as described in the
FY 2010 IRF PPS final rule. All required
data must be electronically encoded into
the IRF–PAI software product.
Generally, the software product
includes patient classification
programming called the GROUPER
software. The GROUPER software uses
specific IRF–PAI data elements to
classify (or group) patients into distinct
CMGs and account for the existence of
any relevant comorbidities.
The GROUPER software produces a 5digit CMG number. The first digit is an
alpha-character that indicates the
comorbidity tier. The last 4 digits
represent the distinct CMG number.
Free downloads of the Inpatient
Rehabilitation Validation and Entry
(IRVEN) software product, including the
GROUPER software, are available on the
CMS Web site at https://www.cms.gov/
InpatientRehabFacPPS/
06_Software.asp.
Once a patient is discharged, the IRF
submits a Medicare claim as a Health
Insurance Portability and
Accountability Act of 1996 (Pub. L.
104–191, enacted on August 21, 1996)
(HIPAA) compliant electronic claim or,
if the Administrative Simplification
Compliance Act of 2002 (Pub. L. 107–
105, enacted on December 27, 2002)
(ASCA) permits, a paper claim (a UB–
04 or a CMS–1450 as appropriate) using
the five-digit CMG number and sends it
to the appropriate Medicare fiscal
intermediary (FI) or Medicare
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Administrative Contractor (MAC).
Claims submitted to Medicare must
comply with both ASCA and HIPAA.
For further discussion of these
requirements, please see the FY 2011
IRF PPS Notice (75 FR 42836 at 42838).
The Medicare FI or 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 providerspecific 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 new teaching
status adjustment that became effective
as of FY 2006, as discussed in the FY
2006 IRF PPS final rule (70 FR 47880).
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II. Summary of Provisions of the
Proposed Rule
In the FY 2012 IRF PPS proposed rule
(76 FR 24214), we proposed to update
the IRF Federal prospective payment
rates, to rebase and revise the RPL
market basket, to implement
refinements to the methodologies for
calculating the LIP adjustment, and to
establish a new quality reporting
program for IRFs in accordance with
section 1886(j)(7) of the Act. We also
proposed to revise existing regulations
text for the purpose of updating and
providing greater clarity. These
proposals are as follows:
A. Proposed Updates to the IRF Federal
Prospective Payment Rates for Federal
Fiscal Year (FY) 2012
The proposed updates to the IRF
Federal prospective payment rates for
FY 2012 are as follows:
• Update the FY 2012 IRF PPS
relative weights and average length of
stay values using the most current and
complete Medicare claims and cost
report data in a budget neutral manner,
as discussed in section III. of the FY
2012 IRF PPS proposed rule (76 FR
24214, 24219 through 24220).
• Update the FY 2012 IRF facilitylevel adjustments (rural, LIP, and
teaching status adjustments) in a budget
neutral manner using the most current
and complete Medicare claims and cost
report data and by removing the
weighting methodology previously used
to analyze the data, and propose a
temporary cap adjustment policy for the
teaching status adjustment to reflect
interns and residents displaced due to
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Jkt 223001
closure of IRFs or IRF residency training
programs, as discussed in section IV. of
the FY 2012 IRF PPS proposed rule (76
FR 24214, 24226).
• Update the FY 2012 IRF PPS
payment rates by the proposed market
basket increase factor, based upon the
most current data available, with a 0.1
percentage point reduction as required
by sections 1886(j)(3)(C)(ii)(II) and
1886(j)(3)(D)(ii) of the Act and a
productivity adjustment required by
section 1886(j)(3)(C)(ii)(I) of the Act, as
described in section V. of the FY 2012
IRF PPS proposed rule (76 FR 24214,
24228 through 24241).
• Update the wage index and the
labor-related share of the FY 2012 IRF
PPS payment rates in a budget neutral
manner, as discussed in section V. of
the FY 2012 IRF PPS proposed rule (76
FR 24214, 24241 through 24244).
• Calculate the IRF Standard Payment
Conversion Factor for FY 2012, as
discussed in section V. of the FY 2012
IRF PPS proposed rule (76 FR 24214,
24244 through 24245).
• Update the outlier threshold
amount for FY 2012, as discussed in
section VI. of the FY 2012 IRF PPS
proposed rule (76 FR 24214, 24248
through 24249).
• Update the cost-to-charge ratio
(CCR) ceiling and urban/rural average
CCRs for FY 2012, as discussed in
section VI. of the FY 2012 IRF PPS
proposed rule 76 (FR 24214, 24249).
• Discuss the impact of the Inpatient
Prospective Payment System (IPPS) data
matching process changes on the IRF
PPS calculation of the Supplemental
Security Income (SSI) ratios used to
compute the IRF LIP adjustment factor,
as discussed in section VII. of the FY
2012 IRF PPS proposed rule (76 FR
24214, 24249 through 24250).
• Implement the IRF quality reporting
program provisions of section 1886(j)(7)
of the Act, as discussed in section IX. of
the FY 2012 IRF PPS proposed rule (76
FR 24214, 24252 through 24257).
B. Proposed Revisions to Existing
Regulation Text
We proposed to revise the existing
requirements at § 412.25(b),
§ 412.25(b)(1), § 412.25(b)(2), and
§ 412.25(b)(3) that apply to all units that
are excluded from the IPPS, as
described in section VIII. of the FY 2012
IRF PPS proposed rule (76 FR 24214,
24250 through 24252). To amend the
regulatory reference to conform with the
other proposed changes, we also
proposed to revise the existing
requirements at § 412.25(e)(2)(ii)(A).
With the exception of
§ 412.25(e)(2)(ii)(A), the proposed
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Frm 00006
Fmt 4701
Sfmt 4700
revisions would affect both IRFs and
IPFs.
We also proposed to relocate and
revise the existing requirements at
§ 412.23(b), § 412.29, and § 412.30 that
describe the requirements for facilities
to qualify to receive payment under the
IRF PPS, as described in section VIII. of
the FY 2012 IRF PPS proposed rule (76
FR 24214, 24252).
Finally, we proposed to re-designate
the existing paragraph § 412.624(c)(4) as
§ 412.624(c)(5) and add a new paragraph
§ 412.624(c)(4) to implement the IRF
quality reporting program.
III. Analysis and Responses to Public
Comments
We received approximately 46 timely
responses, many of which contained
multiple comments on the FY 2012 IRF
PPS proposed rule (76 FR 24214) from
the public. We received comments from
various trade associations, inpatient
rehabilitation facilities, individual
physicians, therapists, clinicians, health
care industry organizations, and health
care consulting firms. The following
sections, arranged by subject area,
include a summary of the public
comments that we received, and our
responses.
IV. Update to the Case-Mix Group
(CMG) Relative Weights and Average
Length of Stay Values for FY 2012
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 the FY 2012 proposed rule (76 FR
24214, 24219 through 24225), we
proposed to update the CMG relative
weights and average length of stay
values for FY 2012. As required by
statute, we always use the most recent
available data to update the CMG
relative weights and average lengths of
stay. This ensures that the CMG relative
weights and average length of stay
values reflect as accurately as possible
the current costs of care in IRFs. For FY
2012, we proposed to use the FY 2010
IRF claims and FY 2009 IRF cost report
data. These data are the most current
and complete data available at this time.
Currently, only a small portion of the
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Federal Register / Vol. 76, No. 151 / Friday, August 5, 2011 / Rules and Regulations
FY 2010 IRF cost report data are
available for analysis, but the majority
of the FY 2010 IRF claims data are
available for analysis.
We proposed to use the same
methodology that we have used to
update the CMG relative weights and
average length of stay values in the FY
2009 IRF PPS final rule (73 FR 46370),
the FY 2010 IRF PPS final rule (74 FR
39762), and the FY 2011 notice (75 FR
42836).
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 we use to calculate the CMG
relative weights 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 2012
CMG relative weights to the same
average CMG relative weight from the
CMG relative weights implemented in
the FY 2011 IRF PPS notice (75 FR
42836).
Consistent with the methodology that
we have used to update the IRF
classification system in each instance in
the past, we proposed to update the
CMG relative weights for FY 2012 in a
way that total estimated aggregate
payments to IRFs for FY 2012 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 2012 CMG relative weights, we use
the following steps:
Step 1. Calculate the estimated total
amount of IRF PPS payments for FY
2012 (with no changes to the CMG
relative weights).
Step 2. Calculate the estimated total
amount of IRF PPS payments for FY
2012 by applying the changes to the
CMG relative weights (as discussed
above).
Step 3. Divide the amount calculated
in step 1 by the amount calculated in
step 2 to determine the budget
neutrality factor (0.9988) that would
maintain the same total estimated
aggregate payments in FY 2012 with and
without the changes to the CMG relative
weights.
Step 4. Apply the budget neutrality
factor (0.9988) to the FY 2011 IRF PPS
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18:17 Aug 04, 2011
Jkt 223001
standard payment amount after the
application of the budget-neutral wage
adjustment factor.
In section VI.C. of this final rule, we
discuss the use of the existing
methodology to calculate the standard
payment conversion factor for FY 2012.
Note that the budget neutrality factor
that we used to update the CMG relative
weights for FY 2012 changed from
0.9989 in the proposed rule to 0.9988 in
this final rule due to the use of updated
FY 2010 IRF claims data in this final
rule.
We received 2 comments on the
proposed updates to the CMG relative
weights and average length of stay
values, which are summarized below.
Comment: One commenter expressed
confusion about whether CMS might
have used an ‘‘older’’ methodology to
calculate the CMG relative weights in
the FY 2011 IRF PPS Notice (75 FR
42836) that differed from the
methodology that CMS used to calculate
the CMG relative weights in the FY 2009
IRF PPS final rule (73 FR 46370), the FY
2010 IRF PPS final rule (74 FR 39762),
or the FY 2012 IRF PPS proposed rule
(76 FR 24214).
Response: We used the same
methodology to update the CMG relative
weights in the FY 2002 IRF PPS final
rule (66 FR 41316), the FY 2006 IRF PPS
final rule (70 FR 47880), and the FY
2007 IRF PPS final rule (71 FR 48354).
We did not update the CMG relative
weights in the FY 2008 IRF PPS final
rule (72 FR 44284). In the FY 2009 IRF
PPS final rule (73 FR 46370), we
implemented one change to the
methodology which involved the use of
more detailed cost-to-charge ratio (CCR)
data from the cost reports of IRF
subprovider units of primary acute care
hospitals, instead of CCR data from the
associated primary acute care hospitals,
to calculate IRFs’ average costs per case.
We have used this same revised
methodology from FY 2009 to update
the CMG relative weights in the FY 2010
IRF PPS final rule (74 FR 39762), the FY
2011 notice (75 FR 42836), and the FY
2012 IRF PPS proposed rule (76 FR
24214). We continue to use the same
methodology that was revised in FY
2009 for updating the CMG relative
weights in this final rule.
Comment: Two commenters requested
that CMS provide more information
about the methodology that we use to
calculate the average length of stay
values. One commenter noted that it
would be useful for CMS to provide
information on the standard deviations
for the average length of stay values, and
another commenter suggested that we
PO 00000
Frm 00007
Fmt 4701
Sfmt 4700
47841
reiterate the purpose of the average
length of stay values.
Response: To calculate the average
length of stay values for the proposed
and final rules each year, we use the
following steps:
Step 1. Sum the lengths of stay for all
of the cases in each CMG and tier using
the most current IRF claims data (for
this final rule, we used FY 2010 IRF
claims data).
Step 2. Divide the number in step 1
by the number of cases in each CMG
and tier in the most current IRF claims
data (for this final rule, we used FY
2010 IRF claims data) to obtain an
average.
Step 3. Use the average length of stay
value calculated in step 2 to identify all
of the cases in each CMG and tier that
would meet the criteria for payment
under the IRF short-stay transfer policy,
and remove those cases from the
analysis.
Step 4. Repeat steps 1 through 3 until
no additional cases are identified in step
3 (that is, until all of the cases left in
step 3 are ‘‘full CMG’’ cases that would
not meet the short-stay transfer policy
criteria).
As we have stated in previous rules,
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. The
average length of stay values should not
be used to limit a patient’s length of stay
in an IRF.
At the request of several of the
commenters, we have placed the
standard deviations for the proposed
average length of stay values from the
FY 2012 IRF PPS proposed rule (76 FR
24214) with the other proposed rule
data files on the IRF PPS Web site at
https://www.cms.gov/
InpatientRehabFacPPS/
07_DataFiles.asp#TopOfPage. We will
continue to provide this information as
part of our standard rulemaking files
that we post to the Web site in
conjunction with the IRF PPS rules.
Final Decision: After carefully
considering all of the comments that we
received on the proposed updates to the
CMG relative weights and average
length of stay values, we are
implementing the FY 2012 updates to
the CMG relative weights and average
length of stay values presented in Table
1 (which are different from the relative
weights and average length of stay
values that we had proposed because
these final values are based on analysis
of updated FY 2010 IRF claims data).
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TABLE 1—RELATIVE WEIGHTS AND AVERAGE LENGTH OF STAY VALUES FOR CASE-MIX GROUPS
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 ..........................................
mstockstill on DSK4VPTVN1PROD with RULES3
0506 ..........................................
0601 ..........................................
0602 ..........................................
0603 ..........................................
0604 ..........................................
0701 ..........................................
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21:18 Aug 04, 2011
CMG Description (M = motor, C
= cognitive, A = age)
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
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
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PO 00000
Frm 00008
Relative weight
Average length of stay
Tier 1
Tier 2
Tier 3
None
0.7676
0.9527
0.7182
0.8913
0.6451
0.8007
0.6102
0.7573
10
12
10
13
9
10
8
10
1.1377
1.0644
0.9562
0.9043
14
14
12
12
1.1819
1.1058
0.9934
0.9395
15
14
13
12
1.3733
1.2849
1.1542
1.0916
16
17
14
14
1.5815
1.4796
1.3291
1.2571
20
18
16
16
1.7906
1.6753
1.5049
1.4233
20
20
18
18
2.2178
2.0508
2.0749
1.9188
1.8639
1.7236
1.7629
1.6302
31
24
25
23
23
20
22
20
2.6434
0.7470
2.4731
0.6132
2.2216
0.5680
2.1012
0.5158
33
8
29
8
26
7
25
8
1.0613
0.8712
0.8070
0.7327
12
12
10
10
1.2080
0.9917
0.9185
0.8341
16
11
13
12
1.2655
1.0388
0.9622
0.8737
16
12
12
12
1.5982
1.3120
1.2152
1.1035
17
18
15
14
1.9895
1.6332
1.5128
1.3736
23
19
19
18
2.6903
2.2085
2.0456
1.8574
35
27
25
22
1.0576
0.9514
0.8441
0.7730
12
12
11
10
1.3393
1.2048
1.0689
0.9789
12
15
13
13
1.5924
1.4325
1.2709
1.1640
21
17
15
14
2.2048
1.9834
1.7596
1.6116
29
23
20
19
1.0588
0.8815
0.8019
0.7036
14
14
11
10
1.3802
1.1491
1.0453
0.9171
17
14
13
12
2.4659
2.0529
1.8675
1.6386
29
26
23
20
4.3797
3.6461
3.3169
2.9102
52
39
38
35
3.8686
3.2206
2.9298
2.5706
52
39
36
29
0.6559
0.6297
0.5616
0.4977
10
10
7
7
0.9815
0.9423
0.8404
0.7448
13
13
11
10
1.2460
1.1962
1.0668
0.9455
16
14
13
12
1.5023
1.4423
1.2863
1.1400
18
16
16
14
1.7558
1.6856
1.5033
1.3324
20
21
18
17
2.4607
2.3624
2.1069
1.8673
34
28
24
23
0.9457
1.2516
0.7992
1.0577
0.7289
0.9648
0.6589
0.8721
10
12
11
13
9
12
9
11
1.6164
1.3660
1.2460
1.1263
17
16
14
14
2.1432
0.8001
1.8112
0.7877
1.6521
0.7586
1.4934
0.6772
24
10
21
12
19
10
18
9
Fmt 4701
Sfmt 4700
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05AUR3
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Tier 3
None
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TABLE 1—RELATIVE WEIGHTS AND AVERAGE LENGTH OF STAY VALUES FOR CASE-MIX GROUPS—Continued
CMG
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 ..........................................
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1503 ..........................................
1504 ..........................................
1601 ..........................................
1602 ..........................................
1603 ..........................................
1701 ..........................................
1702 ..........................................
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CMG Description (M = motor, C
= cognitive, A = age)
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
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Frm 00009
Relative weight
Average length of stay
Tier 1
Tier 2
Tier 3
None
1.0470
1.0307
0.9927
0.8861
12
13
12
12
1.2599
1.2402
1.1945
1.0662
15
15
14
14
1.6283
1.6029
1.5439
1.3780
18
19
18
17
0.5745
0.5745
0.5354
0.4888
7
8
7
7
0.7725
0.7725
0.7199
0.6573
8
11
9
9
1.0651
1.0651
0.9926
0.9062
11
14
13
12
0.9407
0.9407
0.8767
0.8004
10
12
11
10
1.1584
1.1584
1.0795
0.9856
11
14
13
13
1.4144
1.4144
1.3181
1.2034
13
18
16
15
0.8467
1.1324
0.7460
0.9978
0.6751
0.9029
0.6116
0.8180
10
12
10
13
9
12
8
11
1.4503
1.2779
1.1564
1.0477
16
16
14
13
1.8791
1.0335
1.6557
0.9087
1.4983
0.8119
1.3575
0.7256
21
13
20
12
18
10
17
10
1.3571
1.1931
1.0660
0.9528
16
14
13
12
2.0050
1.7628
1.5750
1.4077
21
21
18
17
1.0359
1.0359
0.9826
0.9222
11
11
12
11
1.5586
1.5586
1.4783
1.3875
14
18
16
16
0.8102
1.0564
0.8102
1.0564
0.8104
1.0566
0.7660
0.9987
13
16
13
16
11
14
10
13
1.3031
0.8937
1.3031
0.9714
1.3033
0.9714
1.2319
0.7882
13
11
19
10
15
11
15
10
1.1769
1.2792
1.2792
1.0379
17
17
14
13
1.5211
1.6533
1.6533
1.3415
15
19
18
16
0.9411
1.2638
0.7535
1.0118
0.6663
0.8947
0.6026
0.8092
10
13
10
12
9
11
8
10
1.5263
1.2220
1.0806
0.9773
18
14
13
12
1.9770
0.9610
1.2094
1.5828
0.8973
1.1293
1.3997
0.7734
0.9734
1.2659
0.7311
0.9201
24
10
13
19
11
13
16
8
11
15
9
11
1.4914
1.3926
1.2003
1.1346
16
16
13
13
1.8840
1.1177
1.4972
1.7592
0.8798
1.1785
1.5163
0.7721
1.0342
1.4333
0.7217
0.9667
22
12
19
18
12
13
17
10
13
16
10
13
1.9348
1.0436
1.5230
0.9289
1.3365
0.8430
1.2493
0.7369
22
10
18
11
16
11
15
10
1.3771
1.2256
1.1123
0.9723
13
15
14
13
Fmt 4701
Sfmt 4700
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Tier 1
05AUR3
Tier 2
Tier 3
None
47844
Federal Register / Vol. 76, No. 151 / Friday, August 5, 2011 / Rules and Regulations
TABLE 1—RELATIVE WEIGHTS AND AVERAGE LENGTH OF STAY VALUES FOR CASE-MIX GROUPS—Continued
CMG
1703 ..........................................
1704 ..........................................
1801 ..........................................
1802 ..........................................
1803 ..........................................
1901 ..........................................
1902 ..........................................
1903 ..........................................
2001 ..........................................
2002 ..........................................
2003 ..........................................
2004 ..........................................
2101 ..........................................
5001 ..........................................
5101 ..........................................
5102 ..........................................
5103 ..........................................
5104 ..........................................
CMG Description (M = motor, C
= cognitive, A = age)
Major multiple trauma without
brain or spinal cord injury
M > 25.55 and M < 31.05
Major multiple trauma without
brain or spinal cord injury
M < 25.55
Major multiple trauma with
brain or spinal cord injury
M > 40.85
Major multiple trauma with
brain or spinal cord injury
M > 23.05 and M < 40.85
Major multiple trauma with
brain or spinal cord injury
M < 23.05
Guillain Barre M > 35.95 ..........
Guillain Barre M > 18.05 and
M < 35.95
Guillain Barre M < 18.05 ..........
Miscellaneous M > 49.15 .........
Miscellaneous M > 38.75 and
M < 49.15
Miscellaneous M > 27.85 and
M < 38.75
Miscellaneous M < 27.85 .........
Burns M > 0 ..............................
Short-stay cases, length of stay
is 3 days or fewer
Expired, orthopedic, length of
stay is 13 days or fewer
Expired, orthopedic, length of
stay is 14 days or more
Expired, not orthopedic, length
of stay is 15 days or fewer
Expired, not orthopedic, length
of stay is 16 days or more
V. Updates to the Facility-Level
Adjustment Factors for FY 2012
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A. Updates to the IRF 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.’’ For example, we adjust the
Federal prospective payment amount
associated with a CMG to account for
facility-level characteristics such as an
IRF’s LIP, teaching status, and location
in a rural area, if applicable, as
described in § 412.624(e).
In the FY 2010 IRF PPS final rule (74
FR 39762), we updated the adjustment
factors for calculating the rural, LIP, and
teaching status adjustments based on
the most recent 3 consecutive years
worth of IRF claims data (at that time,
FY 2006, FY 2007, and FY 2008) and the
most recent available corresponding IRF
cost report data. As discussed in the FY
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Relative weight
Tier 1
Tier 2
Tier 3
None
1.6240
1.4454
1.3117
1.1467
15
16
15
15
2.0792
1.8505
1.6794
1.4681
26
22
20
18
1.2016
0.9858
0.9517
0.8705
14
15
12
11
1.6515
1.3548
1.3080
1.1964
18
20
15
15
2.8314
2.3228
2.2425
2.0512
34
32
26
24
1.1498
2.1903
1.0129
1.9296
0.9189
1.7504
0.8923
1.6999
13
22
14
22
12
21
12
21
3.6722
0.8541
1.1431
3.2351
0.7547
1.0100
2.9348
0.6766
0.9056
2.8501
0.6079
0.8136
48
9
12
29
10
12
34
9
11
32
8
10
1.4435
1.2755
1.1436
1.0274
15
15
13
13
1.9356
2.5153
............
1.7104
2.1771
............
1.5335
1.7338
............
1.3777
1.4053
0.1475
24
34
............
20
23
............
18
19
............
16
18
3
............
............
............
0.5856
............
............
............
7
............
............
............
1.4718
............
............
............
18
............
............
............
0.6970
............
............
............
8
............
............
............
1.8778
............
............
............
23
2010 IRF PPS proposed rule (74 FR
21060 through 21061), we observed
relatively large year-to-year fluctuations
in the underlying data used to compute
the adjustment factors, especially the
teaching status adjustment factor.
Therefore, we implemented a 3-year
moving average approach to updating
the facility-level adjustment factors in
the FY 2010 IRF PPS final rule (74 FR
39762) to provide greater stability and
predictability of Medicare payments for
IRFs.
Although the 3-year moving average
approach that we implemented in FY
2010 improves the year-to-year stability
and predictability of the facility-level
adjustment factors, we have continued
to find unusually large year-to-year
fluctuations in the teaching status
adjustment factor. To determine the
underlying reasons for these large yearto-year fluctuations in the teaching
status adjustment factor, we analyzed
the data and reviewed the methodology
that we were using to estimate all three
of the facility-level adjustment factors
(that is, the rural, the LIP, and the
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Fmt 4701
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Tier 1
Tier 2
Tier 3
None
teaching status adjustment factors). We
found that the use of a weighting
methodology, which assigns greater
weight to some facilities than to others,
applied to the regression analysis used
to estimate the facility-level adjustment
factors inappropriately exaggerated the
differences among different types of IRF
facilities. We proposed to remove the
weighting methodology from our
analysis of the facility-level adjustment
factors and update the IRF facility-level
adjustment factors for FY 2012 using an
un-weighted regression analysis.
We received 22 comments on the
proposed updates to the facility-level
adjustment factors, which are
summarized below.
Comment: Several commenters
requested that CMS release data that
would enable facilities to replicate the
calculation of the facility-level
adjustment factors, provide more
information on how CMS calculates the
3-year moving average, and provide
more information on CMS’s research
and computations used to support an
un-weighted regression methodology.
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Federal Register / Vol. 76, No. 151 / Friday, August 5, 2011 / Rules and Regulations
Response: We provided additional
information on the calculation of the
facility-level adjustment factors on the
Inpatient Rehabilitation Facility PPS
Web page under the ‘‘Research’’ link on
the left hand side of the page: https://
www.cms.gov/InpatientRehabFacPPS/
09_Research.asp#TopOfPage. As we
stated in the FY 2010 IRF PPS final rule,
the 3-year moving average is computed
by determining the adjustment factor for
each year and then averaging those
adjustment factors over 3 years. For FY
2012, we used the adjustment factors
generated from our analysis of claims
data and the corresponding year’s cost
47845
report data or, if unavailable, the most
recent available cost report data for FY
2008, FY 2009 and FY 2010. Our
estimates of the proposed FY 2012
adjustment factors, based on FY 2008,
FY 2009, and FY 2010 data, are shown
below in Table 2.
TABLE 2—FACILITY-LEVEL ADJUSTMENT FACTORS USING THE UN-WEIGHTED REGRESSION METHODOLOGY, FY 2012
PROPOSED RULE
FY 2008
LIP Adjustment Factor .....................................................................................................
Teaching Status Adjustment Factor ................................................................................
Rural Adjustment .............................................................................................................
0.1773
0.3554
0.192
FY 2009
0.2158
0.5183
0.188
FY 2010
0.1764
0.6036
0.182
FY 2012
proposed
0.1897
0.4888
0.187
defer implementation of the unweighted regression methodology for an
additional year so that we can further
analyze some anomalies that appear to
exist in the underlying data. We believe
that these anomalies are causing the
results of the weighted regression
methodology to differ substantially from
the results of the un-weighted regression
methodology. Thus, we believe that the
best course of action for FY 2012 is to
defer the implementation of the unweighted regression methodology while
we conduct more research into the
reasons for these anomalies and
alternative ways of computing the
facility-level adjustments that will
reduce the volatility in the teaching
status adjustment factor and provide the
most accurate reflection of cost
differences among different types of
facilities.
Comment: One commenter offered
several suggestions on ways to improve
the computation of the facility-level
adjustment factors without altering the
weighting methodology. Those
suggestions included: pooling three
year’s worth of data into a single data
set to increase sample size; continuing
to use existing weighted regression
model, but with added control variables;
and matching claims to corresponding
cost report data, even if that creates a
3-year lag in the last data year used and
the IRF PPS payment year.
Response: We appreciate all of the
suggestions that we received on ways to
improve our methodology for
computing the facility-level adjustments
and will take those suggestions under
advisement while we continue to
research ways to ensure that we are
using the best methods to determine the
facility-level adjustments.
Final Decision: After carefully
considering all of the comments that we
received on the proposed updates to the
rural, LIP and teaching status
adjustment factors for FY 2012, we are
holding the facility-level adjustment
factors at FY 2011 levels for FY 2012
while we conduct further research on
the underlying data and the best
methodology for calculating the facilitylevel adjustment factors. Thus, the
facility-level adjustments factors for FY
2012 will be the same as those finalized
in the FY 2011 IRF PPS notice (75 FR
42836 at 42848), which were the same
as those finalized in the FY 2010 IRF
PPS final rule (74 FR 39762 at 39775).
For the convenience of the reader, we
reiterate the final adjustment factors
(from the FY 2010 IRF PPS final rule) as
follows: For FY 2012, the IRF PPS
payments to IRFs in rural areas will be
computed with an 18.4 percent upward
adjustment for rural status. IRF PPS
payments to eligible IRFs that qualify
for the LIP adjustment for FY 2012 will
be adjusted using a LIP adjustment
formula of (1 + disproportionate share
hospital (DSH) patient percentage)
raised to the power of (0.4613), where
the—
Finally, IRF PPS payments to eligible
IRFs that qualify for the teaching status
adjustment will be adjusted by the
following formula for FY 2012: (1 + fulltime equivalent (FTE) interns and
residents/average daily census) raised to
the power of (0.6876).
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05AUR3
ER05AU11.013
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Comment: Several commenters
supported the proposed update to the
facility-level adjustment factors in the
FY 2012 proposed rule, including the
use of an un-weighted regression
methodology to determine the facilitylevel adjustment factors, stating that
they believe the changes will result in
a more accurate payment system.
However, several other commenters
expressed concern about the resulting
updates to the teaching status and LIP
adjustment factors for FY 2012 from
using an un-weighted regression
methodology. The commenters stated
that the proposed updates would create
financial hardships for facilities with
teaching programs and a higher
disproportionate share of low-income
patients. Several of the commenters,
including the Medicare Payment
Advisory Commission (MedPAC),
suggested that CMS defer the
implementation of the un-weighted
regression methodology and conduct
more analysis on the underlying causes
of the instability in the teaching status
adjustment factor and on the most
appropriate methodology for calculating
the facility-level adjustment factors.
Several other commenters suggested
that CMS mitigate the impact of any
changes in the facility-level adjustment
factors by phasing the changes in over
several years, or by capping the amount
that a facility adjustment can decrease
in a given year.
Response: We agree with the
commenters that it is appropriate to
47846
Federal Register / Vol. 76, No. 151 / Friday, August 5, 2011 / Rules and Regulations
In section VI.C. of this final rule, we
discuss the methodology for calculating
the standard payment conversion factor
for FY 2012.
B. Policy for Temporary Cap
Adjustments To Reflect Interns and
Residents Displaced Due to Closure of
IRFs or IRF Residency Training
Programs
1. Background
In the FY 2006 IRF PPS final rule (70
FR 47880 at 47928 through 47932), we
implemented regulations at
§ 412.624(e)(4) to establish a facilitylevel adjustment for IRFs that are, or are
part of, teaching hospitals. The teaching
status adjustment accounts for the
higher indirect operating costs
experienced by hospitals that
participate in graduate medical
education (GME) programs. The
payment adjustments are made based on
the number of FTE interns and residents
training in the IRF and the IRF’s average
daily census.
We established the IRF teaching status
adjustment in a manner that limited the
incentives for IRFs to add FTE interns
and residents for the purpose of
increasing their teaching status
adjustment. We imposed a cap on the
number of FTE interns and residents
that may be counted for purposes of
calculating the teaching status
adjustment. The cap limits the number
of FTE interns and residents that
teaching IRFs may count for the purpose
of calculating the IRF PPS teaching
status adjustment, not the number of
interns and residents teaching
institutions can hire or train. We
calculated the number of FTE interns
and residents that trained in the IRF
during a ‘‘base year’’ and used that FTE
intern and resident number as the cap.
An IRF’s FTE intern and resident cap is
ultimately determined based on the
final settlement of the IRF’s most recent
cost reporting period ending on or
before November 15, 2004. A complete
discussion of how the IRF teaching
status adjustment was calculated
appears in the FY 2006 IRF PPS final
rule (70 FR 47880, 47928 through
47932).
mstockstill on DSK4VPTVN1PROD with RULES3
2. FTE Intern and Resident Temporary
Cap Adjustment
Sometimes, interns and residents that
are training in an IRF find themselves
unable to complete their training in the
IRF, either because the IRF closes or
closes a residency training program (we
refer to these interns and residents as
‘‘displaced’’). Although we have not
heard of any instances where IRFs did
not accept displaced interns and
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residents because the additional interns
and residents would put the facility
over the facility’s FTE intern and
resident cap, we believe that it is
important to maintain consistent
policies with other Medicare PPS
systems, to the extent feasible. The IPPS
indirect medical education (IME)
adjustment and the direct GME policies
contain provisions that allow for
temporary adjustments to the IME/GME
caps for IPPS hospitals that train interns
and residents that are displaced because
a hospital closes or closes a medical
residency training program. We have
recently implemented a similar
temporary cap adjustment policy for the
inpatient psychiatric facility (IPF) PPS
teaching status adjustment outlined in
the rate year 2012 IPF PPS final rule (76
FR 26432 at 26454 through 26456).
Consistent with the IPPS and the IPF
PPS, in the FY 2012 IRF PPS proposed
rule (76 FR 24214), we proposed to
permit a temporary increase in the FTE
intern and resident cap when an IRF
increases the number of FTE interns and
residents it trains in order to accept
displaced interns and residents because
another IRF closes or closes a medical
residency training program.
When an IRF temporarily takes on
interns and residents that are displaced
because another IRF closes or closes a
residency training program, we believe
that a temporary adjustment to the cap
would be appropriate. In these
situations, interns and residents may
have partially completed a residency
training program at the IRF that has
closed or closed a training program and
may be unable to complete their training
at another IRF that is already training
interns and residents up to or in excess
of its FTE intern and resident cap. We
believe that it is appropriate to allow
temporary adjustments to the FTE caps
for an IRF that provides residency
training to medical interns and residents
who have partially completed a
residency training program at an IRF
that closes or at an IRF that discontinues
training interns and residents in a
residency training program(s). For this
reason, we are adopting the following
temporary intern and resident cap
adjustment policies, similar to the
temporary adjustments to the FTE cap
used for acute care hospitals and the
temporary adjustments to the FTE caps
for IPFs.
The cap adjustment will be temporary
because it is intern and resident specific
and will only apply to the displaced
intern(s) or resident(s) until those
intern(s) or resident(s) have completed
their training in the program in which
they were training at the time of the IRF
closure or the closure of the program. As
PO 00000
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Fmt 4701
Sfmt 4700
under the IPPS policy for displaced
interns and residents, the IRF PPS
temporary cap adjustment will apply
only to interns and residents that were
still training at the IRF at the time the
IRF closed or at the time the IRF ceased
training interns and residents in the
residency training program(s). Interns
and residents who leave the IRF, for
whatever reason, before the closure of
the IRF or the closure of the residency
training program will not be considered
displaced interns and residents for
purposes of the IRF temporary cap
adjustment policy. We are adopting the
same definition of ‘‘closure of a hospital
residency training program’’ as it is
currently defined at § 413.79(h)(1)(ii);
that is, the hospital ceases to offer
training for residents in a particular
approved medical residency training
program. Similarly, as under the IPPS
policy, medical students who are
accepted into a program at an IRF but
the IRF or residency training program
closes before the individual begins
training at that IRF are also not
considered displaced interns and
residents for purposes of the IRF
temporary cap adjustments. We note
that although we are adopting a policy
under the IRF PPS that is consistent
with the policy applicable under the
IPPS, the actual caps under the two
payment systems are separate and
distinct. This means, for example, if a
program closes at an IPPS hospital that
has an IRF unit, but the interns and
residents from that closed program were
not rotating into the IRF unit when the
program closed, then there would be no
temporary FTE cap adjustment under
the IRF PPS, since the interns and
residents were not displaced from the
IRF. However, if an IPPS hospital that
has an IRF unit closes a training
program and interns and residents from
that program were rotating into the IRF
unit when the program closed, an IRF
hospital or IRF unit may temporarily
adjust their FTE intern and resident cap
if they train the displaced interns and
residents, but only for the portion of the
training that has to be completed in the
IRF setting and only if all of the
requirements specified in section IV.C.
of this final rule are met.
3. Temporary Adjustment to the FTE
Cap To Reflect Interns and Residents
Displaced Due to an IRF Closure
We will allow an IRF to receive a
temporary adjustment to the FTE cap to
reflect interns and residents added
because of another IRF’s closure. The
temporary cap adjustment is intended to
account for medical interns and
residents who have partially completed
a medical residency training program at
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05AUR3
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Federal Register / Vol. 76, No. 151 / Friday, August 5, 2011 / Rules and Regulations
the IRF that has closed and may be
unable to complete their training at
another IRF because that IRF is already
training interns and residents up to or
in excess of its cap. We are
implementing this change because IRFs
may be reluctant to accept additional
interns and residents from a closed IRF
without a temporary adjustment to their
caps. For purposes of this policy, we are
adopting the IPPS definition of ‘‘closure
of a hospital’’ in § 413.79(h)(1)(i) to
mean the IRF terminates its Medicare
provider agreement as specified in
§ 489.52. Therefore, we will allow a
temporary adjustment to an IRF’s FTE
cap to reflect interns and residents
added because of an IRF’s closure. The
policy will be effective for cost reporting
periods beginning on or after October 1,
2011, when an IRF trains an intern or
resident from an IRF that closed. We
will allow an adjustment to an IRF’s
FTE cap if the IRF meets the following
criteria:
(a) The IRF is training displaced
interns and residents from an IRF that
closed.
(b) The IRF that is training the
displaced interns and residents from the
closed IRF submits a timely request for
a temporary adjustment to its FTE cap
to its Medicare contractor. Requests
generally must be submitted no later
than 60 days after the hospital first
begins training the displaced interns
and residents. In the case of an IRF that
is already training the displaced interns
and residents as of October 1, 2011,
requests must be submitted by
December 1, 2011. Requests must
document that the IRF is eligible for this
temporary adjustment to its FTE cap by
identifying the interns and residents
who have come from the closed IRF and
have caused the IRF to exceed its cap,
(or the IRF may already be over its cap),
and specifies the length of time that the
adjustment is needed.
After the displaced interns and
residents leave the IRF’s training
program or complete their residency
program, the IRF’s cap will revert to its
original level. Therefore, the temporary
adjustment to the FTE cap will be
available to the IRF only for the period
of time necessary for the displaced
interns and residents to complete their
training. Further, as under the IPPS
policy, the total amount of temporary
cap adjustment that can be allotted to all
receiving IRFs cannot exceed the cap
amount of the IRF that closed.
We also note that section 5506 of the
Affordable Care Act, ‘‘Preservation of
Resident Cap Positions from Closed
Hospitals,’’ does not apply to IRFs that
closed. Section 5506 of the Affordable
Care Act only amends sections 1886(d)
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18:17 Aug 04, 2011
Jkt 223001
and (h) of the Act for direct GME and
IPPS IME payments. Therefore, the IME
FTE cap redistributions under section
5506 of the Affordable Care Act only
apply to ‘‘subsection (d)’’ IPPS
hospitals. Section 5506 of the
Affordable Care Act has no applicability
to the teaching status adjustments under
the IRF PPS (or the IPF PPS, for that
matter).
4. Temporary Adjustment to FTE Cap to
Reflect Interns and Residents Displaced
Due to a Residency Program Closure
If an IRF ceases training interns and
residents in a residency training
program(s) and agrees to temporarily
reduce its FTE cap, another IRF may
receive a temporary adjustment to its
FTE cap to reflect the addition of the
displaced interns and residents. For
purposes of this policy on closed
residency programs, we are adopting the
IPPS definition of ‘‘closure of a hospital
residency training program’’ as specified
in § 413.79(h)(1)(ii) which means that
the hospital ceases to offer training for
interns and residents in a particular
approved medical residency training
program. The methodology for adjusting
the caps for the ‘‘receiving IRF’’ and the
‘‘IRF that closed its program’’ is
described below.
a. Receiving IRF
An IRF may receive a temporary
adjustment to its FTE cap to reflect
interns and residents added because of
the closure of another IRF’s residency
training program for cost reporting
periods beginning on or after October 1,
2011 if—
• The IRF is training displaced
interns and residents from the residency
training program of an IRF that closed
its program; and
• The IRF that is training the
displaced interns and residents from the
closed program must submit a timely
request for a temporary adjustment to its
FTE cap to its Medicare contractor.
Requests generally must be submitted
no later than 60 days after the IRF
begins to train the interns and residents.
In the case of an IRF that is already
training the displaced interns and
residents as of October 1, 2011, requests
must be submitted by December 1, 2011.
Requests must document that the IRF is
eligible for this temporary adjustment
by identifying the interns and residents
who have come from another IRF’s
closed program and have caused the IRF
to exceed its cap (or the IRF may already
be in excess of its cap), specifies the
length of time the adjustment is needed,
and, as explained in more detail below,
submits to its Medicare contractor a
copy of the FTE cap reduction statement
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by the IRF closing the residency training
program.
In general, the temporary adjustment
criteria established for closed medical
residency training programs at IRFs is
similar to the criteria established for
closed IRFs. More than 1 IRF may be
eligible to apply for the temporary
adjustment because interns and
residents from one closed program may
rotate to different IRFs, or they may
complete their training at more than one
IRF. Also, only to the extent to which
an IRF would exceed its FTE cap by
training displaced interns and residents
would it be eligible for the temporary
adjustment. Thus, for example, if the
IRF has room below its cap to take 1
additional displaced FTE intern or
resident but taking a second displaced
FTE intern or resident would cause the
IRF to exceed its FTE intern and
resident cap, then the IRF would
potentially qualify for a temporary cap
adjustment for 1 FTE intern or resident,
not 2.
b. IRF That Closed Its Program(s)
An IRF that agrees to train interns and
residents who have been displaced by
the closure of another IRF’s residency
training program may receive a
temporary FTE cap adjustment only if
the IRF that closed its program meets
the following criteria—
• Temporarily reduces its FTE cap by
the number of FTE interns and residents
in each program year training and in the
program at the time of the program’s
closure. The yearly reduction would be
determined by deducting the number of
those interns and residents who would
have been training in the program up to
the IRF’s cap during the year of the
closure, had the program not closed;
and
• Submits a timely statement to its
Medicare contractor that has been
signed and dated by its representative
that specifies that it agrees to the
temporary reduction in its FTE cap to
allow the IRF training the displaced
interns and residents to obtain a
temporary adjustment to its cap.
Statements generally must be submitted
no later than 60 days after the interns
and residents who were in the closed
program begin training at another IRF.
In the situation where another IRF is
already training the displaced interns
and residents as of October 1, 2011,
statements must be submitted no later
than December 1, 2011. The statement
must identify the interns and residents
who were training at the time of the
program’s closure, identify the IRFs to
which the interns and residents are
transferring once the program closes,
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and specify the reduction for the
applicable program years.
In addition, under this closed
program policy, in order for the
receiving IRF(s) to qualify for a
temporary adjustment to their FTE cap,
the IRFs that are closing their programs
would need to reduce their FTE cap for
the expected duration of time the
displaced interns and residents would
need to finish their training. We are
implementing this because the IRF that
closes the program still retains the FTE
slots in its cap, even if the IRF chooses
not to fill the slots with interns and
residents. We believe that it is
inappropriate to allow an increase to the
receiving IRF’s cap without an attendant
decrease to the cap of the IRF with the
closed program, because the IRF that
ceased training the interns and residents
could fill these slots with interns and
residents from other programs even if
the increase and related decrease is only
temporary.
The cap reduction for the IRF with the
closed program will be based on the
number of FTE interns and residents in
each program year that were in the
program at the IRF at the time of the
program’s closure, and who begin
training at another IRF.
We received 3 comments on the
proposed temporary adjustment to the
FTE cap to reflect interns and residents
displaced due to an IRF closure or a
residency training program closure,
which are summarized below.
Comment: One commenter suggested
that the proposed temporary adjustment
to the FTE cap would be too difficult for
CMS to monitor. This commenter also
stated that few IRFs with teaching
programs have taken displaced interns
and residents.
Response: We believe that a policy
allowing for temporary adjustments to
the FTE caps for IRFs that take
displaced interns and residents would
be no more difficult to monitor than the
similar policy that is already being
administered for IPPS hospitals.
Although we agree that few IRFs
currently take displaced interns and
residents, we believe that it is
reasonable to allow for temporary
adjustments to the FTE caps for those
IRFs that do.
Comment: Two commenters strongly
supported our proposed policy to allow
a temporary adjustment to the intern
and resident cap when an IRF accepts
interns or residents that are displaced
due to an IRF closure or a residency
training program closure. However,
these commenters requested that CMS
modify the proposed policy to allow
IRFs to receive the temporary cap
adjustment if they are training displaced
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interns or residents as of October 1,
2011.
Response: We share the commenters’
concern for those FTE interns and
residents who have been displaced
before October 1, 2011 due to closure of
an IRF or a residency training program.
We carefully considered the
commenters’ request that CMS modify
the IRF temporary cap adjustment
policy to allow IRFs that volunteered to
train displaced interns and residents
before October 1, 2011 to receive the
temporary cap adjustment. In keeping
with the similar policy for IPPS
hospitals, we are revising our proposed
policy to allow IRFs to receive
temporary cap adjustments for cost
reporting periods beginning on or after
October 1, 2011 for displaced interns
and residents that they are training as of
October 1, 2011. For example, if an IRF
closed or closed a residency training
program on October 1, 2009, then an
intern or resident who was in their first
program year at that time would likely
be in their third program year as of
October 1, 2011 and thus would still be
in the middle of their training. An IRF
that assumed the training of this intern
or resident who was displaced by the
2009 IRF or residency training program
closure would be eligible to receive a
temporary cap adjustment for cost
reporting periods beginning on or after
October 1, 2011. As noted above, an IRF
that is requesting the temporary cap
adjustment for the displaced interns and
residents that it is training as of October
1, 2011 must submit the required
documentation to CMS no later than
December 1, 2011.
Final Decision: After carefully
considering the comments that we
received on the proposed temporary
adjustment to the FTE cap to reflect
interns and residents displaced due to
an IRF closure or the closure of a
residency training program, we are
implementing the new policy for IRFs as
proposed, with the one exception noted
above. We will allow IRFs to qualify for
the temporary cap adjustment for cost
reporting periods beginning on or after
October 1, 2011 if they are already
training interns and residents displaced
by IRF closures or residency program
closures that occurred prior to October
1, 2011. In these instances, all required
documentation must be received by
CMS no later than December 1, 2011.
IRFs that meet the criteria will be
eligible to receive temporary
adjustments to their FTE caps for cost
reporting periods beginning on or after
October 1, 2011.
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VI. FY 2012 IRF PPS Federal
Prospective Payment Rates
A. Market Basket Increase Factor,
Productivity Adjustment, and LaborRelated Share for FY 2012
Section 1886(j)(3)(C) of the Act
requires the Secretary to establish an
increase factor that reflects changes over
time in the prices of an appropriate mix
of goods and services included in the
covered IRF services, which is referred
to as a market basket index. According
to section 1886(j)(3)(A)(i) of the Act, the
increase factor shall be used to update
the IRF Federal prospective payment
rates for each FY. Sections
1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(ii)
of the Act require the application of a
0.1 percentage point reduction to the
market basket increase factor for FYs
2012 and 2013. In addition, section
1886(j)(3)(C)(ii)(I) of the Act requires the
application of a productivity
adjustment, as described below. Thus,
in this final rule, we are updating the
IRF PPS payments for FY 2012 by a
market basket increase factor based
upon the most current data available,
with a productivity adjustment as
required by section 1886(j)(3)(C)(ii)(I) of
the Act as described below and a
0.1 percentage point reduction as
required by sections 1886(j)(3)(C)(ii)(II)
and 1886(j)(3)(D)(ii) of the Act. Further,
we are rebasing the RPL market basket
from a 2002-based market basket to a
2008-based market basket. We typically
rebase the RPL market basket every 5 to
7 years to ensure that it continues to
reflect the most accurate account of the
cost of relevant goods and services.
Thus, in this final rule, we start with
a rebased RPL market basket (updated
from a 2002 base year to a 2008 base
year) and then apply a productivity
adjustment as required by section
1886(j)(3)(C)(ii)(I) of the Act and a 0.1
percentage point reduction as required
by sections 1886(j)(3)(C)(ii)(II) and
1886(j)(3)(D)(ii) of the Act. In section
VI.A.1 of this final rule, we describe the
methodology for rebasing the RPL
market basket from a 2002 base year to
a 2008 base year, and then in section
VI.A.2 of this final rule, we describe the
methodology for calculating the
productivity adjustment as required by
section 1886(j)(3)(C)(ii)(I) of the Act.
Finally, in section VI.A.3 of this final
rule, we describe the calculation of the
market basket increase factor to be used
to adjust IRF PPS payments for FY 2012.
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1. Rebasing and Revising of the RPL
Market Basket Used for IRF PPS for FY
2012
a. Background
The input price index (that is, the
market basket) that was used to develop
the IRF PPS was the Excluded Hospital
with Capital market basket. This market
basket was based on 1997 Medicare cost
report data and included data for
Medicare participating IRFs, IPFs,
LTCHs, cancer hospitals, and children’s
hospitals. Although ‘‘market basket’’
technically describes the mix of goods
and services used in providing hospital
care, this term is also commonly used to
denote the input price index (that is,
cost category weights and price proxies
combined) derived from that market
basket. Accordingly, the term ‘‘market
basket’’, as used in this document, refers
to an input price index.
Beginning with FY 2006, IRF PPS
payments were updated using a FY
2002-based RPL market basket reflecting
the operating and capital cost structures
for freestanding IRFs, freestanding IPFs,
and LTCHs (70 FR 47908). We excluded
cancer and children’s hospitals from the
RPL market basket because their
payments are based entirely on
reasonable costs subject to rate-ofincrease limits established under the
authority of section 1886(b) of the Act,
which is implemented at § 413.40.
Cancer and children’s hospitals are not
reimbursed through a PPS. Also, the FY
2002 cost structures for cancer and
children’s hospitals are noticeably
different than the cost structures of
freestanding IRFs, freestanding IPFs,
and LTCHs. A complete discussion of
the FY 2002-based RPL market basket
can be found in the FY 2006 IRF PPS
final rule (70 FR 47908 through 47915).
In the FY 2010 IRF PPS proposed rule
(74 FR 21062), we expressed our interest
in exploring the possibility of creating a
stand-alone IRF market basket that
reflects the cost structures of only IRF
providers. We noted that, of the
available options, one is to combine the
Medicare cost report data from
freestanding IRF providers (presently
incorporated into the FY 2002-based
RPL market basket) with data from
hospital-based IRF providers. We
indicated that an examination of the
Medicare cost report data comparing
freestanding and hospital-based IRFs
revealed considerable differences
between the two types of providers,
both in terms of cost levels and cost
structures. At that time, we were unable
to fully understand the differences
between these two types of IRF
providers. As a result, we believed that
further research was required and we
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solicited public comment for additional
information that might help us to better
understand the reasons for the
variations in costs and cost structures,
as indicated by the cost report data,
between freestanding and hospitalbased IRFs (74 FR 21062).
We summarized the public comments
we received and our responses in the FY
2010 IRF PPS final rule (74 FR 39762,
39776 through 39777). Despite receiving
comments from the public on this issue,
we remain unable to sufficiently
understand the observed differences in
costs and cost structures between
hospital-based and freestanding IRFs,
and therefore we do not believe it is
appropriate, at this time, to incorporate
data from hospital-based IRFs with
those of freestanding IRFs to create a
stand-alone IRF market basket.
Although we do not believe it would
be appropriate to propose a stand-alone
IRF market basket, we are currently
exploring the viability of creating two
separate market baskets from the current
RPL, one of which would include
freestanding IRFs and freestanding IPFs
and would be used to update payments
under both the IPF and IRF payment
systems. The other would be a standalone LTCH market basket. Depending
on the outcome of our research, we
anticipate the possibility of proposing a
rehabilitation and psychiatric (RP)
market basket in the next update cycle.
In the FY 2012 IRF PPS proposed rule
(76 FR 24229), we invited public
comment on the possibility of using this
type of market basket to update IRF
payments in the future.
Comment: One commenter stated that
CMS’ ongoing work to develop a market
basket that reflects freestanding IRF and
freestanding IPF data should be research
that CMS continues to explore. The
commenter also stressed that a separate
market basket which excludes LTC
hospital costs must be contingent on the
availability of reliable data from a
representative group of IRF and IPF
facilities.
Response: We will consider the
commenters’ concerns as we continue to
investigate the feasibility of developing
a market basket derived using data from
freestanding IPF and freestanding IRF
providers. We agree that before moving
away from the existing RPL market
basket, we must be confident that we
have reliable data gathered from a
representative group of IRF and IPF
providers. Any change to the market
basket used to update IRF payments will
also be subject to the rulemaking
process.
Comment: One commenter
recommended that CMS proceed with
caution in its efforts to create a market
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47849
basket based solely on freestanding IRF
and freestanding IPF data. They noted
that there are substantial geographic
differences in the location of RPL
providers. Several commenters
requested that CMS share its research
with the industry in advance of any
proposed rulemaking so that any
unintended consequences of a change
could be addressed by CMS and
stakeholders.
Response: We agree with the
commenter’s observation that there are
substantial geographic differences in the
location of IRF and IPF facilities. We
would note that the CMS market
baskets, including the RPL, necessarily
reflect the relative costs of inputs for a
given base year at the national level. We
will continue to investigate the
feasibility of creating a market basket
that is nationally representative and is
based on IPF and IRF data. Any changes
to the market basket, including changes
in methodology, would be subject to the
rulemaking process.
For this update cycle (FY 2012), we
are finalizing our intent to continue to
use an RPL market basket based on
freestanding IRF, freestanding IPF, and
long term care hospital (LTCH) data. We
will continue to pursue the feasibility of
creating two separate market baskets
from the current RPL, one of which
would include freestanding IRFs and
freestanding IPFs and would be used to
update payments under both the IPF
and IRF payment systems. The other
would be a stand-alone LTCH market
basket.
For this update cycle, we proposed to
rebase and revise the FY 2002-based
RPL market basket to a FY 2008-based
RPL market basket. In the following
discussion, we provide an overview of
the market basket and describe the
methodologies we use for purposes of
determining the operating and capital
portions of the proposed FY 2008-based
RPL market basket.
b. Overview of the FY 2008-Based RPL
Market Basket
The FY 2008-based RPL market basket
is a fixed-weight, Laspeyres-type price
index. A Laspeyres price index
measures the change in price, over time,
of the same mix of goods and services
purchased in the base period. Any
changes in the quantity or mix of goods
and services (that is, intensity)
purchased over time relative to a base
period are not measured.
The index itself is constructed in
three steps. First, a base period is
selected (in the proposed rule, the base
period is FY 2008) and total base period
expenditures are estimated for a set of
mutually exclusive and exhaustive
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spending categories with the proportion
of total costs that each category
represents being calculated. These
proportions are called cost or
expenditure weights. Second, each
expenditure category is matched to an
appropriate price or wage variable,
referred to as a price proxy. In nearly
every instance, these price proxies are
derived from publicly available
statistical series that are published on a
consistent schedule (preferably at least
on a quarterly basis). Finally, the
expenditure weight for each cost
category is multiplied by the level of its
respective price proxy. The sum of these
products (that is, the expenditure
weights multiplied by their price levels)
for all cost categories yields the
composite index level of the market
basket in a given period. Repeating this
step for other periods produces a series
of market basket levels over time.
Dividing an index level for a given
period by an index level for an earlier
period produces a rate of growth in the
input price index over that timeframe.
As noted above, the market basket is
described as a fixed-weight index
because it represents the change in price
over time of a constant mix (quantity
and intensity) of goods and services
needed to furnish hospital services. The
effects on total expenditures resulting
from changes in the mix of goods and
services purchased subsequent to the
base period are not measured. For
example, a hospital hiring more nurses
to accommodate the needs of patients
would increase the volume of goods and
services purchased by the hospital, but
would not be factored into the price
change measured by a fixed-weight
hospital market basket. Only when the
index is rebased would changes in the
quantity and intensity be captured, with
those changes being reflected in the cost
weights. Therefore, we rebase the
market basket periodically so that the
cost weights reflect recent changes in
the mix of goods and services that
hospitals purchase (hospital inputs) to
furnish inpatient care between base
periods.
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c. Rebasing and Revising of the RPL
Market Basket
The terms ‘‘rebasing’’ and ‘‘revising,’’
while often used interchangeably,
actually denote different activities.
‘‘Rebasing’’ means moving the base year
for the structure of costs of an input
price index (for example, in the
proposed rule, we proposed to shift the
base year cost structure for the RPL
market basket from FY 2002 to FY
2008). ‘‘Revising’’ means changing data
sources, price proxies, or methods, used
to derive the input price index. For FY
2012, we proposed to rebase and revise
the market basket used to update the
IRF PPS.
(1) Development of Cost Categories and
Weights
(a) Medicare Cost Reports
The FY 2008-based RPL market basket
consists of several major cost categories
derived from the FY 2008 Medicare cost
reports for freestanding IRFs,
freestanding IPFs, and LTCHs including
wages and salaries, pharmaceuticals,
professional liability insurance (PLI),
capital, and a residual. This residual
reflects all remaining costs that are not
captured in the four cost categories
listed above. The FY 2008 cost reports
include providers whose cost report
begin date is on or between October 1,
2007, and September 30, 2008. We
choose to use FY 2008 as the base year
because we believe that the Medicare
cost reports for this year represent the
most recent, complete set of Medicare
cost report data available for IRFs, IPFs,
and LTCHs. However, there is an issue
with obtaining data specifically for
benefits and contract labor from this set
of FY 2008 Medicare cost reports since
IRFs, IPFs, and LTCHs were not
required to complete the Medicare cost
report worksheet from which these data
were collected (Worksheet S–3, part II).
As a result, only a small number of
providers (less than 30 percent) reported
data for these categories, and we do not
expect these data to improve over time.
Furthermore, since IRFs, IPFs, and
LTCHs were not required to submit data
for Worksheet S–3, part II in previous
cost reporting years, we have always
had this issue of incomplete Medicare
cost report data for benefits and contract
labor (including when we finalized the
FY 2002-based RPL market basket). Due
to the incomplete benefits and contract
labor data for IRFs, IPFs, and LTCHs, we
will develop these cost weights using
FY 2008 Medicare cost report data for
IPPS hospitals (similar to the method
that was used for the FY 2002-based
RPL market basket). Additional detail is
provided later in this section.
Since our goal is to measure cost
shares that are reflective of case mix and
practice patterns associated with
providing services to Medicare
beneficiaries, we proposed to limit our
selection of Medicare cost reports to
those from hospitals that have a
Medicare average length of stay (LOS)
that is within a comparable range of
their total facility average LOS. We
believe this provides a more accurate
reflection of the structure of costs for
Medicare covered days. We use the cost
reports of IRFs and LTCHs with
Medicare average LOS within
15 percent (that is, 15 percent higher or
lower) of the total facility average LOS
for the hospital. This is the same edit
applied to derive the FY 2002-based
RPL market basket and generally
includes those LTCHs and IRFs with
Medicare LOS within approximately
5 days of the facility average LOS of the
hospital.
We use a less stringent measure of
Medicare LOS for IPFs. For this
provider-type, and in order to produce
a robust sample size, we will use those
facilities’ Medicare cost reports whose
average LOS is within 30 or 50 percent
(depending on the total facility average
LOS) of the total facility average LOS.
This is the same edit applied to derive
the FY 2002-based RPL market basket.
We applied these LOS edits to first
obtain a set of cost reports for facilities
that have a Medicare LOS within a
comparable range of their total facility
LOS. Using this set of Medicare cost
reports, we then calculated cost weights
for 4 cost categories and a residual as
represented by all other costs directly
from the FY 2008 Medicare cost reports
for freestanding IRFs, freestanding IPFs,
and LTCHs (see Table 3 for these four
cost categories and their associated
weights). These Medicare cost report
cost weights were then supplemented
with information obtained from other
data sources (explained in more detail
below) to derive the proposed FY 2008based RPL market basket cost weights.
TABLE 3—MAJOR COST CATEGORIES AND THEIR RESPECTIVE COST WEIGHTS AS CALCULATED DIRECTLY FROM FY 2008
MEDICARE COST REPORTS
FY 2008based RPL
market basket
(percent)
Major cost categories
Wages and salaries .............................................................................................................................................................................
Professional Liability Insurance (Malpractice) .....................................................................................................................................
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47851
TABLE 3—MAJOR COST CATEGORIES AND THEIR RESPECTIVE COST WEIGHTS AS CALCULATED DIRECTLY FROM FY 2008
MEDICARE COST REPORTS—Continued
FY 2008based RPL
market basket
(percent)
Major cost categories
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Pharmaceuticals ..................................................................................................................................................................................
Capital ..................................................................................................................................................................................................
All other ................................................................................................................................................................................................
(b) Other Data Sources
In addition to the IRF, IPF and LTCH
Medicare cost reports for freestanding
IRFs and freestanding IPFs, and LTCHs,
the other data sources we used to
develop the proposed FY 2008-based
RPL market basket cost weights were the
FY 2008 IPPS Medicare cost reports and
the Benchmark Input-Output (I–O)
Tables created by the Bureau of
Economic Analysis (BEA), U.S.
Department of Commerce. The FY 2008
Medicare cost reports include providers
whose cost report begin date is on or
between October 1, 2007 and September
30, 2008.
As noted above, the FY 2008-based
RPL cost weights for benefits and
contract labor were derived using FY
2008-based IPPS Medicare cost reports.
We used these Medicare cost reports to
calculate cost weights for Wages and
Salaries, Benefits, and Contract Labor
for IPPS hospitals for FY 2008. For the
Benefits cost weight for the FY 2008based RPL market basket, the ratio of the
FY 2008 IPPS Benefits cost weight to the
FY 2008 IPPS Wages and Salaries cost
weight was applied to the RPL Wages
and Salaries cost weight. Similarly, the
ratio of the FY 2008 IPPS Contract Labor
cost weight to the FY 2008 IPPS Wages
and Salaries cost weight was applied to
the RPL Wages and Salaries cost weight
to derive a Contract Labor cost weight
for the proposed FY 2008-based RPL
market basket.
The All Other cost category is divided
into other hospital expenditure category
shares using the 2002 BEA Benchmark
I–O data following the removal of the
portions of the All Other cost category
provided in Table 3 that are attributable
to Benefits and Contract Labor. The BEA
Benchmark I–O data are scheduled for
publication every 5 years. The most
recent data available are for 2002. BEA
also produces Annual I–O estimates;
however, the 2002 Benchmark I–O data
represent a much more comprehensive
and complete set of data that are derived
from the 2002 Economic Census. The
Annual I–O is simply an update of the
Benchmark I–O tables. For the FY 2002based RPL market basket, we used the
1997 Benchmark I–O data. We use the
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2002 Benchmark I–O data in the FY
2008-based RPL market basket. Instead
of using the less detailed Annual I–O
data, we inflated the 2002 Benchmark
I–O data forward to 2008. The
methodology we used to inflate the data
forward involves applying the annual
price changes from the respective price
proxies to the appropriate cost
categories. We repeat this practice for
each year.
The ‘‘All Other’’ cost category
expenditure shares are determined as
being equal to each category’s
proportion to total ‘‘all other’’ based on
the inflated 2002 Benchmark I–O data.
For instance, if the cost for telephone
services represented 10 percent of the
sum of the ‘‘all other’’ Benchmark I–O
hospital expenditures, then telephone
services would represent 10 percent of
the RPL market basket’s All Other cost
category.
Comment: One commenter supported
using the latest available data to update
the IRF PPS; however, the commenter
observed that CMS relied on acute care
hospital data for certain items (that is,
Employee Benefits, Contract Labor) that
were not collected in the RPL settings.
The commenter recommend that CMS
consider revisions to the cost report data
for the RPL settings to collect this
information in advance of the next
rebasing to allow the use of specific RPL
data for all cost categories, weights, and
price proxies.
Response: Effective for cost reports
beginning on or after May 1, 2010, we
finalized a revised Hospital and
Hospital Health Care Complex Cost
Report, Form CMS 2552–10, which is
available for download from the CMS
Web page at https://www.cms.gov/
Transmittals/2010Trans/
list.asp?intNumPerPage=10 by clicking
on the link to CMS Transmittal
#R1P240. Form CMS 2552–10 includes
a new worksheet (Worksheet S–3, part
V) which identifies the contract labor
costs and benefit costs for the hospital
complex and is applicable to subproviders and units. We believe that all
providers will report this data so that
we will be able to include it in future
market basket rebasings.
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6.514
8.392
36.959
(2) Final Cost Category Computation
As stated previously, for this rebasing
we proposed to use the Medicare cost
reports for IRFs, IPFs, and LTCHs to
derive four major cost categories. The
proposed FY 2008-based RPL market
basket includes 2 additional cost
categories that were not broken out
separately in the FY 2002-based RPL
market basket: ‘‘Administrative and
Business Support Services’’ and
‘‘Financial Services’’. The inclusion of
these 2 additional cost categories, which
are derived using the Benchmark I–O
data, is consistent with the addition of
these two cost categories to the FY 2006based IPPS market basket (74 FR 43845).
We are breaking out both categories so
we can better match their respective
expenses with more appropriate price
proxies. A thorough discussion of our
rationale for each of these cost
categories is provided in section
VI.A.1.c.(3) of this final rule. Also, the
FY 2008-based RPL market basket
excludes 1 cost category: Photo
Supplies. The 2002 Benchmark I–O
weight for this category is considerably
smaller than the 1997 Benchmark I–O
weight, presently accounting for less
than one-tenth of one percentage point
of the RPL market basket. Therefore, we
will include the photo supplies costs in
the Chemical cost category weight with
other similar chemical products.
We are not changing our definition of
the labor-related share. However, we are
renaming our aggregate cost categories
from ‘‘labor-intensive’’ and ‘‘nonlaborintensive’’ services to ‘‘labor-related’’
and ‘‘nonlabor-related’’ services. This is
consistent with the FY 2006-based IPPS
market basket (74 FR 43845). As
discussed in more detail below and
similar to the FY 2002-based RPL
market basket, we classify a cost
category as labor-related and include it
in the labor-related share if the cost
category is defined as being laborintensive and its cost varies with the
local labor market. In previous
regulations, we grouped cost categories
that met both of these criteria into laborintensive services. We believe the new
labels more accurately reflect the
concepts that they are intended to
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Federal Register / Vol. 76, No. 151 / Friday, August 5, 2011 / Rules and Regulations
convey. We are not changing our
definition of the labor-related share
because we continue to classify a cost
category as labor-related if the costs are
labor-intensive and vary with the local
labor market.
(3) Selection of Price Proxies
After computing the FY 2008 cost
weights for the rebased RPL market
basket, it was necessary to select
appropriate wage and price proxies to
reflect the rate of price change for each
expenditure category. With the
exception of the proxy for PLI, all of the
proxies for the operating portion of the
proposed FY 2008-based RPL market
basket are based on Bureau of Labor
Statistics (BLS) data and are grouped
into one of the following BLS categories:
(a) Producer Price Indexes—Producer
Price Indexes (PPIs) measure price
changes for goods sold in markets other
than the retail market. PPIs are
preferable price proxies for goods and
services that hospitals purchase as
inputs because these PPIs better reflect
the actual price changes faced by
hospitals. For example, we use a special
PPI for prescription drugs, rather than
the Consumer Price Index (CPI) for
prescription drugs, because hospitals
generally purchase drugs directly from a
wholesaler. The PPIs that we use
measure price changes at the final stage
of production.
(b) Consumer Price Indexes—CPIs
measure change in the prices of final
goods and services bought by the typical
consumer. Because they may not
represent the price faced by a producer,
we used CPIs only if an appropriate PPI
was not available, or if the expenditures
were more similar to those faced by
retail consumers in general rather than
by purchasers of goods at the wholesale
level. For example, the CPI for food
purchased away from home is used as
a proxy for contracted food services.
(c) Employment Cost Indexes—
Employment Cost Indexes (ECIs)
measure the rate of change in employee
wage rates and employer costs for
employee benefits per hour worked.
These indexes are fixed-weight indexes
and strictly measure the change in wage
rates and employee benefits per hour.
Appropriately, these indexes are not
affected by shifts in employment mix.
We evaluated the price proxies using
the criteria of reliability, timeliness,
availability, and relevance. Reliability
indicates that the index is based on
valid statistical methods and has low
sampling variability. Timeliness implies
that the proxy is published regularly,
preferably at least once a quarter.
Availability means that the proxy is
publicly available. Finally, relevance
means that the proxy is applicable and
representative of the cost category
weight to which it is applied. The
proposed CPIs, PPIs, and ECIs selected
meet these criteria.
Table 4 sets forth the proposed FY
2008-based RPL market basket including
cost categories, and their respective
weights and price proxies. For
comparison purposes, the
corresponding FY 2002-based RPL
market basket cost weights are listed, as
well. For example, Wages and Salaries
are 49.447 percent of total costs in the
proposed FY 2008-based RPL market
basket compared to 52.895 percent for
the FY 2002-based RPL market basket.
Employee Benefits are 12.831 percent in
the proposed FY 2008-based RPL market
basket compared to 12.982 percent for
the FY 2002-based RPL market basket.
As a result, compensation costs (Wages
and Salaries plus Employee Benefits) for
the proposed FY 2008-based RPL market
basket are 62.278 percent of total costs
compared to 65.877 percent for the FY
2002-based RPL market basket.
Following Table 4 is a summary
outlining the choice of the proxies we
are using for the operating portion of the
FY 2008-based RPL market basket. The
price proxies for the capital portion are
described in more detail in the capital
methodology section (see section
VI.A.1.c.(4) of this final rule).
We note that the proxies for the
operating portion of the FY 2008-based
RPL market basket are the same as those
used for the FY 2006-based IPPS
operating market basket. Because these
proxies meet our criteria of reliability,
timeliness, availability, and relevance,
we believe they are the best measures of
price changes for the cost categories. For
further discussion on the FY 2006-based
IPPS market basket, see the IPPS final
rule published in the August 27, 2009
Federal Register (74 FR 43843).
TABLE 4—FY 2008-BASED RPL MARKET BASKET COST CATEGORIES, WEIGHTS, AND PRICE PROXIES WITH FY 2002BASED RPL MARKET BASKET COST WEIGHTS INCLUDED FOR COMPARISON
FY 2008based RPL
market basket
cost weights
FY 2002based RPL
market basket
cost weights
1. Compensation ..........................................................
A. Wages and Salaries1 ...............................................
62.278
49.447
65.877
52.895
B. Employee Benefits1 .................................................
2. Utilities ......................................................................
A. Electricity ..................................................................
B. Fuel, Oil, and Gasoline ............................................
C. Water and Sewage ..................................................
3. Professional Liability Insurance ................................
12.831
1.578
1.125
0.371
0.082
0.764
12.982
0.656
0.351
0.108
0.197
1.161
4. All Other Products and Services ..............................
A. All Other Products ....................................................
(1.) Pharmaceuticals .....................................................
26.988
15.574
6.514
22.158
13.325
5.103
(2.) Food: Direct Purchases .........................................
(3.) Food: Contract Services ........................................
(4.) Chemicals 2 ............................................................
(5.) Medical Instruments ...............................................
(6.) Photographic Supplies ...........................................
(7.) Rubber and Plastics ...............................................
(8.) Paper and Printing Products ..................................
(9.) Apparel ...................................................................
(10.) Machinery and Equipment ...................................
2.959
0.392
1.100
1.795
0.873
0.620
1.100
1.014
0.096
1.052
1.000
0.207
0.297
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Cost categories
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1.021
0.210
0.106
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FY 2008-based RPL market basket price proxies
ECI for Wages and Salaries, Civilian Hospital Workers.
ECI for Benefits, Civilian Hospital Workers.
PPI for Commercial Electric Power.
PPI for Petroleum Refineries.
CPI–U for Water and Sewerage Maintenance.
CMS Hospital Professional Liability Insurance Premium Index.
PPI for Pharmaceutical Preparations for Human Use
(Prescriptions).
PPI for Processed Foods and Feeds.
CPI–U for Food Away From Home.
Blend of Chemical PPIs.
PPI for Medical, Surgical, and Personal Aid Devices.
PPI
PPI
PPI
PPI
for
for
for
for
Rubber and Plastic Products.
Converted Paper and Paperboard Products.
Apparel.
Machinery and Equipment.
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47853
TABLE 4—FY 2008-BASED RPL MARKET BASKET COST CATEGORIES, WEIGHTS, AND PRICE PROXIES WITH FY 2002BASED RPL MARKET BASKET COST WEIGHTS INCLUDED FOR COMPARISON—Continued
FY 2008based RPL
market basket
cost weights
FY 2002based RPL
market basket
cost weights
(11.) Miscellaneous Products .......................................
B. All Other Services ....................................................
(1.) Labor-related Services ...........................................
(a.) Professional Fees: Labor-related 3 ........................
0.346
11.414
4.681
2.114
1.963
8.833
5.111
2.892
(b.) Administrative and Business Support Services 4 ...
0.422
n/a
(c.) All Other: Labor-Related Services 5 .......................
2.145
2.219
(2.) Nonlabor-Related Services ....................................
(a.) Professional Fees: Nonlabor-Related 3 ..................
6.733
4.211
3.722
n/a
(b.) Financial Services 5 ................................................
(c.) Telephone Services ...............................................
(d.) Postage ..................................................................
(e.) All Other: Nonlabor-Related Services 4 .................
5. Capital-Related Costs ..............................................
A. Depreciation .............................................................
(1.) Fixed Assets ..........................................................
0.853
0.416
0.630
0.623
8.392
5.519
3.286
n/a
0.240
0.682
2.800
10.149
6.187
4.250
(2.) Movable Equipment ...............................................
2.233
1.937
B. Interest Costs ...........................................................
(1.) Government/Nonprofit ............................................
1.954
0.653
2.775
2.081
(2.) For Profit ................................................................
1.301
0.694
C. Other Capital-Related Costs ....................................
0.919
1.187
Total .......................................................................
100.000
100.000
Cost categories
FY 2008-based RPL market basket price proxies
PPI for Finished Goods less Food and Energy.
ECI for Compensation for Professional and Related
Occupations.
ECI for Compensation for Office and Administrative
Services.
ECI for Compensation for Private Service Occupations.
ECI for Compensation for Professional and Related
Occupations.
ECI for Compensation for Financial Activities.
CPI–U for Telephone Services.
CPI–U for Postage.
CPI–U for All Items less Food and Energy.
BEA chained price index for nonresidential construction for hospitals and special care facilities—vintage
weighted (26 years).
PPI for Machinery and Equipment—vintage weighted
(11 years).
Average yield on domestic municipal bonds (Bond
Buyer 20 bonds)—vintage-weighted (26 years).
Average yield on Moody’s Aaa bonds—vintageweighted (26 years).
CPI–U for Residential Rent.
Note: Detail may not add to total due to rounding.
1 Contract Labor is distributed to Wages and Salaries and Employee Benefits based on the share of total compensation that each category
represents.
2 To proxy the Chemicals cost category, we used a blended PPI composed of the PPI for Industrial Gases, the PPI for Other Basic Inorganic
Chemical Manufacturing, the PPI for Other Basic Organic Chemical Manufacturing, and the PPI for Soap and Cleaning Compound Manufacturing. For more detail about this proxy, see section V.A.1.c.(3).(c).(x) of this proposed rule.
3 The Professional Fees: Labor-related and Professional Fees: Nonlabor-related cost categories were included in one cost category called Professional Fees in the FY 2002-based RPL market basket. For more detail about how these new categories were derived, we refer readers to
sections VI.A.1.c.(3).(c).(xviii) and VI.A.1.c.(3).(c).(xxi) of this final rule.
4 The Administrative and Business Support Services cost category was contained within All Other: Labor-intensive Services cost category in
the FY 2002-based RPL market basket. The All Other: Labor-intensive Services cost category is renamed the All Other: Labor-related Services
cost category for the FY 2008-based RPL market basket.
5 The Financial Services cost category was contained within the All Other: Non-labor Intensive Services cost category in the FY 2002-based
RPL market basket. The All Other: Non-labor Intensive Services cost category is renamed the All Other: Nonlabor-related Services cost category
for the FY 2008-based RPL market basket.
(i) Wages and Salaries
We use the ECI for Wages and Salaries
for Hospital Workers (All Civilian) (BLS
series code CIU1026220000000I) to
measure the price growth of this cost
category. This same proxy was used in
the FY 2002-based RPL market basket.
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(ii) Employee Benefits
We use the ECI for Employee Benefits
for Hospital Workers (All Civilian) to
measure the price growth of this cost
category. This same proxy was used in
the FY 2002-based RPL market basket.
(iii) Electricity
We use the PPI for Commercial
Electric Power (BLS series code
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WPU0542). This same proxy was used
in the FY 2002-based RPL market
basket.
(iv) Fuel, Oil, and Gasoline
For the FY 2002-based RPL market
basket, this category only included
expenses classified under North
American Industry Classification
System (NAICS) 21 (Mining). We
proxied this category using the PPI for
Commercial Natural Gas (BLS series
code WPU0552). For the FY 2008-based
market basket, we add costs to this
category that had previously been
grouped in other categories. The added
costs include petroleum-related
expenses under NAICS 324110
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(previously captured in the
miscellaneous category), as well as
petrochemical manufacturing classified
under NAICS 325110 (previously
captured in the chemicals category).
These added costs represent 80 percent
of the hospital industry’s fuel, oil, and
gasoline expenses (or 80 percent of this
category). Because the majority of the
industry’s fuel, oil, and gasoline
expenses originate from petroleum
refineries (NAICS 324110), we use the
PPI for Petroleum Refineries (BLS series
code PCU324110324110) as the proxy
for this cost category.
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code WPUSI07003) to measure the price
growth of this cost category. We note
that we are not making a change to the
PPI that is used to proxy this cost
category. There was a recent change to
the BLS naming convention for this
series; however, this is the same proxy
that was used in the FY 2002-based RPL
market basket.
(v) Water and Sewage
We use the CPI for Water and
Sewerage Maintenance (All Urban
Consumers) (BLS series code
CUUR0000SEHG01) to measure the
price growth of this cost category. This
same proxy was used in the FY 2002based RPL market basket.
(vi) Professional Liability Insurance
We proxy price changes in hospital
PLI premiums using percentage changes
as estimated by the CMS Hospital
Professional Liability Index. To generate
these estimates, we collect commercial
insurance premiums for a fixed level of
coverage while holding non-price
factors constant (such as a change in the
level of coverage). This method is also
used to proxy PLI price changes in the
Medicare Economic Index (75 FR
73268). This same proxy was used in
the FY 2002-based RPL market basket.
(vii) Pharmaceuticals
We use the PPI for Pharmaceuticals
for Human Use, Prescription (BLS series
(viii) Food: Direct Purchases
We use the PPI for Processed Foods
and Feeds (BLS series code WPU02) to
measure the price growth of this cost
category. This same proxy was used in
the FY 2002-based RPL market basket.
(ix) Food: Contract Services
We use the CPI for Food Away From
Home (All Urban Consumers) (BLS
series code CUUR0000SEFV) to measure
the price growth of this cost category.
This same proxy was used in the FY
2002-based RPL market basket.
(x) Chemicals
We use a blended PPI composed of
the PPI for Industrial Gas Manufacturing
(NAICS 325120) (BLS series code
PCU325120325120P), the PPI for Other
Basic Inorganic Chemical
Manufacturing (NAICS 325180) (BLS
series code PCU32518–32518–), the PPI
for Other Basic Organic Chemical
Manufacturing (NAICS 325190) (BLS
series code PCU32519–32519–), and the
PPI for Soap and Cleaning Compound
Manufacturing (NAICS 325610) (BLS
series code PCU32561–32561–). Using
the 2002 Benchmark I–O data, we found
that these NAICS industries accounted
for approximately 90 percent of the
hospital industry’s chemical expenses.
Therefore, we use this blended index
because we believe its composition
better reflects the composition of the
purchasing patterns of hospitals than
does the PPI for Industrial Chemicals
(BLS series code WPU061), the proxy
used in the FY 2002-based RPL market
basket. Table 5 shows the weights for
each of the four PPIs used to create the
blended PPI, which we determined
using the 2002 Benchmark I–O data.
TABLE 5—BLENDED CHEMICAL PPI WEIGHTS
Weights
(in percent)
Name
PPI
PPI
PPI
PPI
for
for
for
for
Industrial Gas Manufacturing ..............................................................................................................
Other Basic Inorganic Chemical Manufacturing .................................................................................
Other Basic Organic Chemical Manufacturing ....................................................................................
Soap and Cleaning Compound Manufacturing ...................................................................................
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(xi) Medical Instruments
We use the PPI for Medical, Surgical,
and Personal Aid Devices (BLS series
code WPU156) to measure the price
growth of this cost category. In the 1997
Benchmark I–O data, approximately half
of the expenses classified in this
category were for surgical and medical
instruments. Therefore, we used the PPI
for Surgical and Medical Instruments
and Equipment (BLS series code
WPU1562) to proxy this category in the
FY 2002-based RPL market basket. The
2002 Benchmark I–O data show that
surgical and medical instruments now
represent only 33 percent of these
expenses and that the largest expense
category is surgical appliance and
supplies manufacturing (corresponding
to BLS series code WPU1563). Due to
this reallocation of costs over time, we
are changing the price proxy for this
cost category to the more aggregated PPI
for Medical, Surgical, and Personal Aid
Devices.
(xii) Photographic Supplies
We eliminate the cost category
specific to photographic supplies for the
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NAICS
35
25
30
10
325120
325180
325190
325610
proposed FY 2008 based RPL market
basket. These costs are now included in
the Chemicals cost category because the
costs are presently reported as all other
chemical products. Notably, although
we are eliminating the specific cost
category, these costs are still accounted
for within the RPL market basket.
(xvi) Machinery and Equipment
(xiii) Rubber and Plastics
We use the PPI for Finished Goods
Less Food and Energy (BLS series code
WPUSOP3500) to measure the price
growth of this cost category. Using this
index removes the double-counting of
food and energy prices, which are
already captured elsewhere in the
market basket. This same proxy was
used in the FY 2002-based RPL market
basket.
We use the PPI for Rubber and Plastic
Products (BLS series code WPU07) to
measure price growth of this cost
category. This same proxy was used in
the FY 2002-based RPL market basket.
(xiv) Paper and Printing Products
We use the PPI for Converted Paper
and Paperboard Products (BLS series
code WPU0915) to measure the price
growth of this cost category. This same
proxy was used in the FY 2002-based
RPL market basket.
(xv) Apparel
We use the PPI for Apparel (BLS
series code WPU0381) to measure the
price growth of this cost category. This
same proxy was used in the FY 2002based RPL market basket.
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We use the PPI for Machinery and
Equipment (BLS series code WPU11) to
measure the price growth of this cost
category. This same proxy was used in
the FY 2002-based RPL market basket.
(xvii) Miscellaneous Products
(xviii) Professional Fees: Labor-Related
We use the ECI for Compensation for
Professional and Related Occupations
(Private Industry) (BLS series code
CIS2020000120000I) to measure the
price growth of this category. It includes
occupations such as legal, accounting,
and engineering services. This same
proxy was used in the FY 2002-based
RPL market basket.
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(xix) Administrative and Business
Support Services
same proxy was used in the FY 2002based RPL market basket.
We use the ECI for Compensation for
Office and Administrative Support
Services (Private Industry) (BLS series
code CIU2010000220000I) to measure
the price growth of this category.
Previously these costs were included in
the All Other: Labor-intensive category
(now renamed the All Other: Laborrelated Services category), and were
proxied by the ECI for Compensation for
Service Occupations. We believe that
this compensation index better reflects
the changing price of labor associated
with the provision of administrative
services and its incorporation represents
a technical improvement to the market
basket.
(xxv) All Other: Nonlabor-Related
Services
We use the CPI for All Items Less
Food and Energy (BLS series code
CUUR0000SA0L1E) to measure the
price growth of this cost category.
Previously these costs were proxied by
the CPI for All Items in the FY 2002based RPL market basket. We believe
that using the CPI for All Items Less
Food and Energy removes the double
counting of changes in food and energy
prices, as they are already captured
elsewhere in the market basket.
Consequently, we believe that the
incorporation of this proxy represents a
technical improvement to the market
basket.
Comment: One commenter observed
that the compensation cost weight
showed a decline from the FY 2002 to
FY 2008 base year. The commenter
noted that these reductions may be a
result of low salary increases salary
freezes or other similar factors and are
not necessarily indicative of a reduction
in the labor intensity of the services
provided by IRFs.
Response: We agree with the
commenter that a variety of factors and
trends can influence changes in the cost
shares of the RPL market basket.
Relative to growth in nonlabor costs,
slower growth in the cost of labor (due
to low salary increases or freezes in
salary), could result in a lower cost
weight associated with wages and
salaries. Likewise, stable growth in labor
costs coupled with relatively faster
growth in nonlabor costs could also
result in a lower cost weight associated
with wages and salaries. As the rebased
and revised 2008-based RPL market
basket’s cost weights reflect an updated
distribution of costs and represent the
best available data, we are finalizing this
market basket in this final rule.
(xx) All Other: Labor-Related Services
We use the ECI for Compensation for
Service Occupations (Private Industry)
(BLS series code CIU2010000300000I) to
measure the price growth of this cost
category. This same proxy was used in
the FY 2002-based RPL market basket.
(xxi) Professional Fees: NonlaborRelated
We use the ECI for Compensation for
Professional and Related Occupations
(Private Industry) (BLS series code
CIS2020000120000I) to measure the
price growth of this category. This is the
same price proxy that we are using to
use for the Professional Fees: Laborrelated cost category.
(xxii) Financial Services
We use the ECI for Compensation for
Financial Activities (Private Industry)
(BLS series code CIU201520A000000I)
to measure the price growth of this cost
category. Previously these costs were
included in the All Other: Nonlaborintensive category (now renamed the All
Other: Nonlabor-related Services
category), and were proxied by the CPI
for All Items. We believe that this
compensation index better reflects the
changing price of labor associated with
the provision of financial services and
its incorporation represents a technical
improvement to the market basket.
mstockstill on DSK4VPTVN1PROD with RULES3
(xxiii) Telephone Services
We use the CPI for Telephone
Services (BLS series code
CUUR0000SEED) to measure the price
growth of this cost category. This same
proxy was used in the FY 2002-based
RPL market basket.
(xxiv) Postage
We use the CPI for Postage (BLS series
code CUUR0000SEEC01) to measure the
price growth of this cost category. This
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(4) Methodology for Capital Portion of
the RPL Market Basket
In the FY 2002-based RPL market
basket, we did not have freestanding
IRF, freestanding IPF, and LTCH 2002
Medicare cost report data for the capital
cost weights, due to a change in the
2002 reporting requirements. Therefore,
we used these hospitals’ 2001
expenditure data for the capital cost
categories of depreciation, interest, and
other capital expenses, and inflated the
data to a 2002 base year using relevant
price proxies.
For the FY 2008-based RPL market
basket, we calculate weights for the
proposed RPL market basket capital
costs using the same set of FY 2008
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47855
Medicare cost reports used to develop
the operating share for IRFs, IPFs, and
LTCHs. To calculate the total capital
cost weight, we first apply the same
LOS edits as applied when calculating
the operating cost weights as described
above in section VI.A.1.c.(1)(a) of this
final rule. The resulting capital weight
for the FY 2008 base year is 8.392
percent.
Lease expenses are unique in that
they are not broken out as a separate
cost category in the RPL market basket,
but rather are proportionally distributed
amongst the cost categories of
Depreciation, Interest, and Other,
reflecting the assumption that the
underlying cost structure of leases is
similar to that of capital costs in general.
As was done in the FY 2002-based RPL
market basket, we first assumed 10
percent of lease expenses represents
overhead and assigned those costs to the
‘‘Other Capital-Related Costs’’ category
accordingly. The remaining lease
expenses were distributed across the 3
cost categories based on the respective
weights of depreciation, interest, and
other capital not including lease
expenses.
Depreciation contains two
subcategories: (1) Building and Fixed
Equipment; and (2) Movable Equipment.
The apportionment between building
and fixed equipment and movable
equipment was determined using the FY
2008 Medicare cost reports for
freestanding IRFs, freestanding IPFs,
and LTCHs. This methodology was also
used to compute the apportionment
used in the FY 2002-based RPL market
basket (70 FR 47912).
The total Interest expense cost
category is split between government/
nonprofit interest and for-profit interest.
The FY 2002-based RPL market basket
allocated 75 percent of the total Interest
cost weight to government/nonprofit
interest and proxied that category by the
average yield on domestic municipal
bonds. The remaining 25 percent of the
Interest cost weight was allocated to forprofit interest and was proxied by the
average yield on Moody’s Aaa bonds
(70 FR 47912). This was based on the
FY 2002-based IPPS Capital input price
index (CIPI) (70 FR 23406) due to
insufficient Medicare cost report data
for freestanding IRFs, freestanding IPFs,
and LTCHs. For the FY 2008-based RPL
market basket, we proposed to derive
the split using the FY 2008 Medicare
cost report data on interest expenses for
government/nonprofit and for-profit
freestanding IRFs, freestanding IPFs,
and LTCHs. Based on these data, we
calculated a 33/67 split between
government/nonprofit and for-profit
interest. We believe it is important that
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this split reflects the latest relative cost
structure of interest expenses for RPL
providers. As stated above, we first
apply the LOS edits (as described in
section VI.A.1.c.(1)(a) of this final rule)
prior to calculating this split. Therefore,
we are using cost reports that are
reflective of case mix and practice
patterns associated with providing
services to Medicare beneficiaries.
Using data specific to government/
nonprofit and for-profit freestanding
IRFs, freestanding IPFs, and LTCHs as
well as the application of these LOS
edits are the primary reasons for the
difference in this split relative to the FY
2002-based RPL market basket.
Because capital is acquired and paid
for over time, capital expenses in any
given year are determined by both past
and present purchases of physical and
financial capital. The vintage-weighted
capital portion of the FY 2008-based
RPL market basket is intended to
capture the long-term consumption of
capital, using vintage weights for
depreciation (physical capital) and
interest (financial capital). These
vintage weights reflect the proportion of
capital purchases attributable to each
year of the expected life of building and
fixed equipment, movable equipment,
and interest. We use the vintage weights
to compute vintage-weighted price
changes associated with depreciation
and interest expense.
Vintage weights are an integral part of
the proposed FY 2008-based RPL market
basket. Capital costs are inherently
complicated and are determined by
complex capital purchasing decisions,
over time, based on such factors as
interest rates and debt financing. In
addition, capital is depreciated over
time instead of being consumed in the
same period it is purchased. The capital
portion of the FY 2008-based RPL
market basket reflects the annual price
changes associated with capital costs,
and would be a useful simplification of
the actual capital investment process.
By accounting for the vintage nature of
capital, we are able to provide an
accurate and stable annual measure of
price changes. Annual nonvintage price
changes for capital are unstable due to
the volatility of interest rate changes
and, therefore, do not reflect the actual
annual price changes for Medicare
capital-related costs. The capital
component of the proposed FY 2008based RPL market basket reflects the
underlying stability of the capital
acquisition process and provides
hospitals with the ability to plan for
changes in capital payments.
To calculate the vintage weights for
depreciation and interest expenses, we
needed a time series of capital
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purchases for building and fixed
equipment and movable equipment. We
found no single source that provides an
appropriate time series of capital
purchases by hospitals for all of the
above components of capital purchases.
The early Medicare cost reports did not
have sufficient capital data to meet this
need. Data we obtained from the
American Hospital Association (AHA)
do not include annual capital
purchases. However, AHA does provide
a consistent database back to 1963. We
used data from the AHA Panel Survey
and the AHA Annual Survey to obtain
a time series of total expenses for
hospitals. We then used data from the
AHA Panel Survey supplemented with
the ratio of depreciation to total hospital
expenses obtained from the Medicare
cost reports to derive a trend of annual
depreciation expenses for 1963 through
2008.
To estimate capital purchases using
data on depreciation expenses, the
expected life for each cost category
(building and fixed equipment, movable
equipment, and interest) is needed to
calculate vintage weights. For the FY
2002-based RPL market basket, due to
insufficient Medicare cost report data
for freestanding IRFs, freestanding IPFs,
and LTCHs, we used 2001 Medicare
Cost Reports for IPPS hospitals to
determine the expected life of building
and fixed equipment and movable
equipment (70 FR 47913). The FY 2002based RPL market basket was based on
an expected life of building and fixed
equipment of 23 years. It used 11 years
as the expected life for movable
equipment. We believed that this data
source reflected the latest relative cost
structure of depreciation expenses for
hospitals at the time and was analogous
to freestanding IRFs, freestanding IPFs,
and LTCHs.
The expected life of any piece of
equipment can be determined by
dividing the value of the asset
(excluding fully depreciated assets) by
its current year depreciation amount.
This calculation yields the estimated
useful life of an asset if depreciation
were to continue at current year levels,
assuming straight-line depreciation.
Following a similar method to what was
applied for the FY 2002-based RPL
market basket, we use the expected life
of building and fixed equipment to be
equal to 26 years, and the expected life
of movable equipment to be 11 years.
These expected lives are calculated
using FY 2008 Medicare cost reports for
IPPS hospitals since we are currently
unable to obtain robust measures of the
expected lives for building and fixed
equipment and movable equipment
using the Medicare cost reports from
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Fmt 4701
Sfmt 4700
freestanding IRFs, freestanding IPFs,
and LTCHs.
We also use the building and fixed
equipment and movable equipment
weights derived from FY 2008 Medicare
cost reports for freestanding IRFs,
freestanding IPFs, and LTCHs to
separate the depreciation expenses into
annual amounts of building and fixed
equipment depreciation and movable
equipment depreciation. Year-end asset
costs for building and fixed equipment
and movable equipment were
determined by multiplying the annual
depreciation amounts by the expected
life calculations. We then calculated a
time series, back to 1963, of annual
capital purchases by subtracting the
previous year asset costs from the
current year asset costs. From this
capital purchase time series, we were
able to calculate the vintage weights for
building and fixed equipment and for
movable equipment. Each of these sets
of vintage weights is explained in more
detail below.
For the building and fixed equipment
vintage weights, we used the real annual
capital purchase amounts for building
and fixed equipment to capture the
actual amount of the physical
acquisition, net of the effect of price
inflation. This real annual purchase
amount for building and fixed
equipment was produced by deflating
the nominal annual purchase amount by
the building and fixed equipment price
proxy, BEA’s chained price index for
nonresidential construction for
hospitals and special care facilities.
Because building and fixed equipment
have an expected life of 26 years, the
vintage weights for building and fixed
equipment are deemed to represent the
average purchase pattern of building
and fixed equipment over 26-year
periods. With real building and fixed
equipment purchase estimates available
from 2008 back to 1963, we averaged
twenty 26-year periods to determine the
average vintage weights for building and
fixed equipment that are representative
of average building and fixed equipment
purchase patterns over time. Vintage
weights for each 26-year period are
calculated by dividing the real building
and fixed capital purchase amount in
any given year by the total amount of
purchases in the 26-year period. This
calculation is done for each year in the
26-year period, and for each of the
twenty 26-year periods. We used the
average of each year across the twenty
26-year periods to determine the average
building and fixed equipment vintage
weights for the FY 2008-based RPL
market basket.
For the movable equipment vintage
weights, the real annual capital
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purchase amounts for movable
equipment were used to capture the
actual amount of the physical
acquisition, net of price inflation. This
real annual purchase amount for
movable equipment was calculated by
deflating the nominal annual purchase
amounts by the movable equipment
price proxy, the PPI for Machinery and
Equipment. This is the same proxy used
for the FY 2002-based RPL market
basket. Based on our determination that
movable equipment has an expected life
of 11 years, the vintage weights for
movable equipment represent the
average expenditure for movable
equipment over an 11-year period. With
real movable equipment purchase
estimates available from 2008 back to
1963, thirty-five 11-year periods were
averaged to determine the average
vintage weights for movable equipment
that are representative of average
movable equipment purchase patterns
over time. Vintage weights for each 11year period are calculated by dividing
the real movable capital purchase
amount for any given year by the total
amount of purchases in the 11-year
period. This calculation was done for
each year in the 11-year period and for
each of the thirty-five 11-year periods.
We used the average of each year across
the thirty-five 11-year periods to
determine the average movable
equipment vintage weights for the FY
2008-based RPL market basket.
For the interest vintage weights, the
nominal annual capital purchase
amounts for total equipment (building
and fixed, and movable) were used to
capture the value of the debt
instrument. Because we have
determined that hospital debt
instruments have an expected life of 26
years, the vintage weights for interest
are deemed to represent the average
purchase pattern of total equipment
47857
over 26-year periods. With nominal total
equipment purchase estimates available
from 2008 back to 1963, twenty 26-year
periods were averaged to determine the
average vintage weights for interest that
are representative of average capital
purchase patterns over time. Vintage
weights for each 26-year period are
calculated by dividing the nominal total
capital purchase amount for any given
year by the total amount of purchases in
the 26-year period. This calculation is
done for each year in the 26-year period
and for each of the twenty 26-year
periods. We used the average of each
year across the twenty 26-year periods
to determine the average interest vintage
weights for the FY 2008-based RPL
market basket. The vintage weights for
the capital portion of the FY 2002-based
RPL market basket and the FY 2008based RPL market basket are presented
in Table 6.
TABLE 6—FY 2002 AND FY 2008 VINTAGE WEIGHTS FOR CAPITAL-RELATED PRICE PROXIES
Building and fixed
equipment
Movable Equipment
Year
FY 2002
23 years
Interest
FY 2002
11 years
FY 2008
26 years
FY 2008
11 years
FY 2002
23 years
FY 2008
26 years
1 ...............................................................
2 ...............................................................
3 ...............................................................
4 ...............................................................
5 ...............................................................
6 ...............................................................
7 ...............................................................
8 ...............................................................
9 ...............................................................
10 .............................................................
11 .............................................................
12 .............................................................
13 .............................................................
14 .............................................................
15 .............................................................
16 .............................................................
17 .............................................................
18 .............................................................
19 .............................................................
20 .............................................................
21 .............................................................
22 .............................................................
23 .............................................................
24 .............................................................
25 .............................................................
26 .............................................................
0.021
0.022
0.025
0.027
0.029
0.031
0.033
0.035
0.038
0.040
0.042
0.045
0.047
0.049
0.051
0.053
0.056
0.057
0.058
0.060
0.060
0.061
0.061
........................
........................
........................
0.021
0.023
0.025
0.027
0.028
0.030
0.031
0.033
0.035
0.037
0.039
0.041
0.042
0.043
0.044
0.045
0.046
0.047
0.047
0.045
0.045
0.045
0.046
0.046
0.045
0.046
0.065
0.071
0.077
0.082
0.086
0.091
0.095
0.100
0.106
0.112
0.117
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
0.071
0.075
0.080
0.083
0.085
0.089
0.092
0.098
0.103
0.109
0.116
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
0.010
0.012
0.014
0.016
0.019
0.023
0.026
0.029
0.033
0.036
0.039
0.043
0.048
0.053
0.056
0.059
0.062
0.064
0.066
0.070
0.071
0.074
0.076
........................
........................
........................
0.010
0.012
0.014
0.016
0.018
0.020
0.021
0.024
0.026
0.029
0.033
0.035
0.038
0.041
0.043
0.046
0.049
0.052
0.053
0.053
0.055
0.056
0.060
0.063
0.064
0.068
Total ..................................................
1.000
1.000
1.000
1.000
1.000
1.000
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Note: Numbers may not add to total due to rounding.
After the capital cost category weights
were computed, it was necessary to
select appropriate price proxies to
reflect the rate-of-increase for each
expenditure category. We use the same
price proxies for the capital portion of
the FY 2008-based RPL market basket
that were used in the FY 2002-based
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RPL market basket with the exception of
the Boeckh Construction Index. We
replaced the Boeckh Construction Index
with BEA’s chained price index for
nonresidential construction for
hospitals and special care facilities. The
BEA index represents construction of
facilities such as hospitals, nursing
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homes, hospices, and rehabilitation
centers. Although these price indices
move similarly over time, we believe
that it is more technically appropriate to
use an index that is more specific to the
hospital industry. We believe these are
the most appropriate proxies for
hospital capital costs that meet our
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selection criteria of relevance,
timeliness, availability, and reliability.
The price proxies (prior to any vintage
weighting) for each of the capital cost
categories are the same as those used for
the FY 2006-based CIPI as described in
the IPPS FY 2010 final rule (74 FR at
43857).
We received no comments related to
the proposed capital portion of the RPL
methodology including the selection of
cost categories, cost weights, and the
price proxies. Therefore, we are
finalizing the capital portion of the
2008-based RPL market basket as
proposed with no further changes.
(5) FY 2012 RPL Market Basket Update
Factor for IRFs
For FY 2012 (that is, beginning
October 1, 2011 and ending September
30, 2012), we will use an estimate of the
FY 2008-based RPL market basket
increase factor based on the best
available data. Consistent with
historical practice, we estimate the RPL
market basket update for the IRF PPS
based on IHS Global Insight’s forecast
using the most recent available data.
IHS Global Insight (IGI), Inc. is a
nationally recognized economic and
financial forecasting firm that contracts
with CMS to forecast the components of
the market baskets.
Based on IGI’s 1st quarter 2011
forecast with historical data through the
fourth quarter of 2010, the projected
market basket increase factor for FY
2012 was 2.8 percent. Consistent with
our historical practice of estimating
market basket increases based on the
best available data, we proposed a
market basket increase factor of 2.8
percent for FY 2012. We also proposed
that if more recent data became
subsequently available (for example, a
more recent estimate of the market
basket), we would use that data, if
appropriate, to determine the FY 2012
update in the final rule.
Based on IGI’s second quarter 2011
forecast with history through the first
quarter of 2011, the projected market
basket update for FY 2012 based on the
2008-based RPL market basket is 2.9
percent.
Using the current FY 2002-based RPL
market basket and IGI’s second quarter
2011 forecast for the market basket
components, the FY 2012 update would
be 3.0 percent (before taking into
account any statutory adjustments).
Table 7 compares the FY 2008-based
RPL market basket and the FY 2002based RPL market basket percent
changes.
TABLE 7—FY 2002-BASED AND FY 2008-BASED RPL MARKET BASKET PERCENT CHANGES, FY 2006 THROUGH FY
2014
FY 2002-based
RPL market basket
index percent
change
Fiscal year (FY)
FY 2008-based
RPL market basket
index percent
change
3.9
3.4
3.8
2.5
2.3
3.2
3.7
3.4
3.7
2.7
2.2
3.1
2.7
3.0
3.0
3.0
2.9
2.7
2.9
2.9
3.0
2.9
Historical data:
FY 2006 ............................................................................................................................................
FY 2007 ............................................................................................................................................
FY 2008 ............................................................................................................................................
FY 2009 ............................................................................................................................................
FY 2010 ............................................................................................................................................
Average 2006–2010 .........................................................................................................................
Forecast:
FY 2011 ............................................................................................................................................
FY 2012 ............................................................................................................................................
FY 2013 ............................................................................................................................................
FY 2014 ............................................................................................................................................
Average 2011–2014 .........................................................................................................................
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Note that these market basket percent changes do not include any further adjustments as may be statutorily required.
Source: IHS Global Insight, Inc. 2nd quarter 2011 forecast.
For FY 2012, the FY 2008-based RPL
market basket update (2.9 percent) is
slightly lower than the FY 2002-based
RPL market basket update (3.0 percent).
The lower total compensation weight in
the FY 2008-based RPL market basket
(62.278 percent) relative to the FY 2002based RPL market basket (65.877
percent), absent other factors, would
have resulted in a slightly lower market
basket update using the FY 2008-based
RPL market basket. This impact,
however, is partially offset by the larger
weight associated with the Professional
Fees category. In both market baskets,
these expenditures are proxied by the
ECI for Compensation for Professional
and Related Services. The weight for
Professional Fees in the FY 2002-based
RPL market basket is 2.892 percent
compared to 6.325 percent in the
proposed FY 2008-based RPL market
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basket. The net effect is that the market
basket update is slightly lower for FY
2012 based on the FY 2008-based RPL
market basket relative to the FY 2002based RPL market basket.
Comment: Several commenters
expressed support that CMS update the
RPL market basket with more recent
cost data. They note that using more upto-date cost report data (2008) makes the
RPL market basket more representative
of the costs faced by IRF providers
relative to more outdated cost report
data (2002).
Response: We agree that the use of
more recent cost report data allows for
the index to better reflect the actual
costs faced by IRF providers. Based on
the positive comments received
regarding the rebasing of the RPL market
basket, we are finalizing our proposal to
rebase and revise the index. Based on
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IGI’s second quarter 2011 forecast with
history through the first quarter of 2011,
the projected market basket update for
FY 2012 is 2.9 percent. Therefore,
consistent with our historical practice of
estimating market basket increases
based on the best available data, we are
finalizing a market basket update of 2.9
percent for FY 2012.
2. Productivity Adjustment
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.’’ As described in
section VI.A.1 of this final rule, we
estimate the IRF PPS increase factor for
FY 2012 based on the FY 2008-based
RPL market basket. Section
1886(j)(3)(C)(ii) of the Act then requires
that, after establishing the increase
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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 cost reporting
period, or other annual period) (the
‘‘MFP adjustment’’). The Bureau of
Labor Statistics (BLS) is the agency that
publishes the official measure of private
nonfarm business MFP. We refer readers
to the BLS Web site at https://
www.bls.gov/mfp to obtain the historical
BLS-published MFP data.
The projection of MFP is currently
produced by IGI, an economic
forecasting firm. In order to generate a
forecast of MFP, IGI replicated the MFP
measure calculated by the BLS using a
series of proxy variables derived from
IGI’s U.S. macroeconomic models.
47859
These models take into account a very
broad range of factors that influence the
total U.S. economy. IGI forecasts the
underlying proxy components such as
Gross Domestic Product (GDP), capital,
and labor inputs required to estimate
MFP and then combines those
projections according to the BLS
methodology. In Table 8, we identify
each of the major MFP component series
employed by the BLS to measure MFP.
We also provide the corresponding
concepts forecasted by IGI and
determined to be the best available
proxies for the BLS series.
TABLE 8—MULTIFACTOR PRODUCTIVITY COMPONENT SERIES EMPLOYED BY THE BUREAU OF LABOR STATISTICS AND IHS
GLOBAL INSIGHT
BLS series
IGI series
Real value-added output, constant 2005 dollars .....................................
Non-housing, non-government, non-farm real GDP, Billions of chained
2005 dollars ¥ annual rate.
Hours of all persons in private non-farm establishments, 2005 =
100.00, adjusted for labor composition effects.
Real effective capital stock used for full employment GDP, Billions of
chained 2005 dollars.
Private non-farm business sector labor input; 2005 = 100.00 .................
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Aggregate capital inputs; 2005 = 100.00 .................................................
IGI found that the historical growth
rates of the BLS components used to
calculate MFP and the IGI components
identified are consistent across all series
and therefore suitable proxies for
calculating MFP. We have included
below a more detailed description of the
methodology used by IGI to construct a
forecast of MFP, which is aligned
closely with the methodology employed
by the BLS. For more information
regarding the BLS method for estimating
productivity, see the BLS Web site at
https://www.bls.gov/mfp/mprtech.pdf.
At the time of the development of the
FY 2012 final rule, the BLS had
published a historical time series of
private nonfarm business MFP for 1987
through 2010, with 2010 being a
preliminary value. Using this historical
MFP series and the IGI forecasted series,
IGI has developed a forecast of MFP for
2011 through 2021, as described below.
To create a forecast of BLS’ MFP
index, the forecasted annual growth
rates of the ‘‘non-housing, nongovernment, non-farm, real GDP’’,
‘‘hours of all persons in private nonfarm establishments adjusted for labor
composition,’’ and ‘‘real effective capital
stock’’ series (ranging from 2011 to
2021) are used to ‘‘grow’’ the levels of
the ‘‘real value-added output,’’ ‘‘private
non-farm business sector labor input,’’
and ‘‘aggregate capital inputs’’ series
published by the BLS. Projections of the
‘‘hours of all persons’’ measure are
calculated using the difference between
projections of the BLS index of output
per hour and real GDP. This difference
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is then adjusted to account for changes
in labor composition in the forecast
interval.
Using these 3 key concepts, MFP is
derived by subtracting the contribution
of labor and capital inputs from output
growth. However, in order to estimate
MFP, we need to understand the relative
contributions of labor and capital to
total output growth. Therefore, 2
additional measures are needed to
operationalize the estimation of the IGI
MFP projection: Labor compensation
and capital income. The sum of labor
compensation and capital income
represents total income. The BLS
calculates labor compensation and
capital income (in current dollar terms)
to derive the nominal values of labor
and capital inputs. IGI uses the ‘‘nongovernment total compensation’’ and
‘‘flow of capital services from the total
private non-residential capital stock’’
series as proxies for the BLS’ income
measures. These two proxy measures for
income are divided by total income to
obtain the shares of labor compensation
and capital income to total income. To
estimate labor’s contribution and
capital’s contribution to the growth in
total output, the growth rates of the
proxy variables for labor and capital
inputs are multiplied by their respective
shares of total income. These
contributions, of labor and capital to
output growth, are subtracted from total
output growth to calculate the ‘‘change
in the growth rates of multifactor
productivity’’:
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MFP = Total output growth ¥ ((labor
input growth * labor compensation
share) + (capital input growth *
capital income share))
The change in the growth rates (also
referred to as the compound growth
rates) of the IGI MFP are multiplied by
100 in order to calculate the percent
change in growth rates (the percent
change in growth rates are published by
the BLS for its historical MFP measure).
Finally, the growth rates of the IGI MFP
are converted to index levels based to
2005 to be consistent with the BLS’
methodology. For benchmarking
purposes, the historical growth rates of
IGI’s proxy variables were used to
estimate a historical measure of MFP,
which was compared to the historical
MFP estimate published by the BLS.
The comparison revealed that the
growth rates of the components were
consistent across all series, and
therefore validated the use of the proxy
variables in generating the IGI MFP
projections. The resulting MFP index
was then interpolated to a quarterly
frequency using the Bassie method for
temporal disaggregation. The Bassie
technique utilizes an indicator (pattern)
series for its calculations. IGI uses the
index of output per hour (published by
the BLS) as an indicator when
interpolating the MFP index.
3. Calculation of the IRF PPS Market
Basket Increase Factor for FY 2012
To calculate the MFP-adjusted IRF
PPS increase factor for FY 2012, in
accordance with section 1886(j)(3)(C) of
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the Act, we start with the FY 2008-based
RPL market basket increase factor
described above in section VI.A.1. of
this final rule and subtract from that the
MFP percentage adjustment described
in section VI.A.2. of this final rule.
Additionally, in accordance with
sections 1886(j)(3)(C)(ii)(II) and (D)(ii) of
the Act, we further proposed to reduce
the MFP-adjusted IRF PPS increase
factor by 0.1 percentage point for FY
2012.
Specifically, in calculating the MFP
percentage adjustment, the end of the
10-year moving average of changes in
the MFP should coincide with the end
of the appropriate FY update period.
Since the market basket update is
reduced by the MFP adjustment to
determine the annual update for the IRF
PPS, we believe it is appropriate for the
numbers associated with both
components of the calculation (the
market basket and the productivity
adjustment) to line up so that changes
in market conditions are aligned.
Therefore, for the FY 2012 update, the
MFP adjustment is calculated as the
10-year moving average of changes in
MFP for the period ending September
30, 2012. We round the final annual
adjustment to the one-tenth of 1
percentage point level up or down as
applicable according to conventional
rounding rules (that is, if the number we
are rounding is followed by 5, 6, 7, 8,
or 9, we will round the number up; if
the number we are rounding is followed
by 0, 1, 2, 3, or 4, we will round the
number down).
Thus, in accordance with section
1886(j)(3)(C) of the Act, the proposed
IRF PPS increase factor for FY 2012 was
based on the 1st quarter 2011 forecast of
the proposed FY 2008-based RPL market
basket update, which was estimated to
be 2.8 percent. This increase factor was
then reduced by the proposed MFP
adjustment (the 10-year moving average
of MFP for the period ending FY 2012)
of 1.2 percentage points, based on the
methodology described above and IHS
Global Insight’s 1st quarter 2011
forecast. The increase factor for FY 2012
was then further reduced by 0.1
percentage point in accordance with
sections 1886(j)(3)(C)(ii)(II) and
1886(j)(3)(D)(ii) of the Act. The resulting
proposed IRF PPS increase factor
reduced by the productivity adjustment
and the ‘‘other adjustment’’ for FY 2012
was equal to 1.5 percent, or 2.8 percent
less 1.2 percentage points (for the MFP)
less 0.1 percentage point in accordance
with sections 1886(j)(3)(C)(ii)(II) and
1886(j)(3)(D)(ii) of the Act. Consistent
with historical practice, we update the
market basket increase factor estimate
and the MFP adjustment in this final
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rule to reflect the most recent available
data.
Comment: Several commenters
recognized that the productivity
adjustment is mandated by law (section
3401(d) of the Affordable Care Act).
However, they expressed concern about
the negative impact that it could have
on IRF providers and the beneficiaries
they serve. They recommend that CMS
takes steps to mitigate any negative
effects caused by the MFP reduction.
Response: Section 3401(d) of the
Affordable Care Act mandates that the
market basket used to update IRF
payments be reduced by a productivity
adjustment beginning in FY 2012. As a
result, we have no discretionary
authority in this area, and we are
applying this reduction in this final
rule.
Comment: Several commenters stated
that the provision of inpatient
rehabilitation services is largely
dependent on skilled rehabilitation
physicians, therapists, nurses, and other
highly trained personnel and that
efficiencies which might result from use
of advanced technology are more
limited in this setting than may be
observed in the general economy. One
commenter noted that many of the
treatment plans in the IRF setting do not
lend themselves to continual
productivity improvements. The
commenter stated that it will be
challenging for efficient providers, over
time, to achieve continued efficiencies
at a rate that will be required by ongoing
application of productivity adjustments.
Response: We recognize that a
complex and sophisticated mix of
inputs are required to provide care to
IRF patients. However, the agency is
required by law to apply the MFP
adjustment to provider payments as
stipulated by section 3401(d) of the
Affordable Care Act.
Comment: Several commenters
suggested that CMS carefully monitor
the impact that these MFP adjustments
will have on the IRF hospital sector and
provide feedback to Congress as
appropriate.
Response: We will continue to
monitor the effect of the MFP
adjustments and share the results with
policymakers. That practice will
continue as we implement other
provisions mandated by the Affordable
Care Act.
Final Decision: After careful
consideration of the public comments,
we are finalizing our proposed method
for calculating and applying the MFP
adjustment. In accordance with section
1886(j)(3)(C) of the Act, as amended by
section 3401(d) of the Affordable Care
Act, we will base the FY 2012 market
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basket update, which is used to
determine the applicable percentage
increase for the IRF payments, on the
second quarter 2011 forecast of the FY
2008-based RPL market basket
(estimated to be 2.9 percent). This
percentage increase will then be
reduced by the MFP adjustment (the
10-year moving average of MFP for the
period ending FY 2012) of 1.0 percent,
which was calculated as described
above and based on IGI’s second quarter
2011 forecast. Following application of
the productivity adjustment, the
applicable percentage increase will then
be further reduced by 0.1 percentage
point, as required by section
1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(ii)
of the Act, as amended by sections
3401(d) of the Affordable Care Act.
Therefore the final FY 2012 IRF update
is 1.8 percent (2.9 percent market basket
update less 1.0 percentage point MFP
adjustment less 0.1 percentage point
legislative adjustment).
4. Calculation of the Labor-Related
Share for FY 2012
Section 1886(j)(6) of the Act specifies
that ‘‘[t]he Secretary shall 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 paragraph (3) 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 the facilities. Not
later than October 1, 2001 (and at least
every 36 months thereafter), the
Secretary shall update the factor under
the preceding sentence on the basis of
information available to the Secretary
(and updated as appropriate) of the
wages and wage-related costs incurred
in furnishing rehabilitation services.
Any adjustments or updates made under
this paragraph for a fiscal year shall be
made in a manner that assures that the
aggregated payments under this
subsection in the fiscal year are not
greater or less than those that would
have been made in the year without
such adjustment.’’
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. Given this, based on
our definition of the labor-related share,
we proposed to include in the laborrelated share the sum of the relative
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importance of Wages and Salaries,
Employee Benefits, Professional Fees:
Labor-related, Administrative and
Business Support Services, All Other:
Labor-related Services (previously
referred to in the FY 2002-based RPL
market basket as labor-intensive), and a
portion of the Capital-Related cost
weight.
Consistent with previous rebasings,
the ‘‘All Other’’ Labor-related Services
cost category is mostly comprised of
building maintenance and security
services (including, but not limited to,
commercial and industrial machinery
and equipment repair, nonresidential
maintenance and repair, and
investigation and security services).
Because these services tend to be laborintensive and are mostly performed at
the hospital facility (therefore, unlikely
to be purchased in the national market),
we believe that they meet our definition
of labor-related services.
As stated in the FY 2006 IRF PPS final
rule (70 FR 47880, 47915), the laborrelated share was defined as the sum of
the relative importance of Wages and
Salaries, Fringe Benefits, Professional
Fees, Labor-intensive Services, and a
portion of the capital share from an
appropriate market basket. Therefore, to
determine the labor-related share for the
IRF PPS for FY 2011, we used the FY
2002-based RPL market basket cost
weights relative importance to
determine the labor-related share for the
IRF PPS.
For the FY 2008-based RPL market
basket rebasing, the inclusion of the
Administrative and Business Support
Services cost category into the laborrelated share remains consistent with
the current labor-related share because
this cost category was previously
included in the Labor-intensive cost
category. As previously stated, we
establish a separate Administrative and
Business Support Service cost category
so that we can use the ECI for
Compensation for Office and
Administrative Support Services to
more precisely proxy these specific
expenses.
For the FY 2002-based RPL market
basket, we assumed that all nonmedical
professional services (including
accounting and auditing services,
engineering services, legal services, and
management and consulting services)
were purchased in the local labor
market and, therefore, all of their
associated fees varied with the local
labor market. As a result, we previously
included 100 percent of these costs in
the labor-related share. In an effort to
more accurately determine the share of
professional fees that should be
included in the labor-related share, we
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surveyed hospitals regarding the
proportion of those fees that go to
companies that are located beyond their
own local labor market (the results are
discussed below).
We continue to look for ways to refine
our market basket approach to more
accurately account for the proportion of
costs influenced by the local labor
market. To that end, we conducted a
survey of hospitals to empirically
determine the proportion of contracted
professional services purchased by the
industry that are attributable to local
firms and the proportion that are
purchased from national firms. We
notified the public of our intent to
conduct this survey on December 9,
2005 (70 FR 73250) and received no
comments.
With approval from the OMB (Control
Number 0938–1036), we contacted a
sample of IPPS hospitals and received
responses to our survey from 108
hospitals. We believe that these data
serve as an appropriate proxy for the
purchasing patterns of professional
services for IRFs as they are also
institutional providers of health care
services. Using data on FTEs to allocate
responding hospitals across strata
(region of the country and urban/rural
status), we calculated post-stratification
weights. Based on these weighted
results, we determined that hospitals
purchase, on average, the following
portions of contracted professional
services outside of their local labor
market:
• 34 percent of accounting and
auditing services.
• 30 percent of engineering services.
• 33 percent of legal services.
• 42 percent of management
consulting services.
We applied each of these percentages
to its respective Benchmark I–O cost
category underlying the professional
fees cost category to determine the
Professional Fees: Nonlabor-related
costs. The Professional Fees: Laborrelated costs were determined to be the
difference between the total costs for
each Benchmark I–O category and the
Professional Fees: Nonlabor-related
costs. This is the methodology that we
used to separate the FY 2008-based RPL
market basket professional fees category
into Professional Fees: Labor-related
and Professional Fees: Nonlabor-related
cost categories. In addition to the
professional services listed above, we
also classified expenses under NAICS
55, Management of Companies and
Enterprises, into the Professional Fees
cost category as was done in previous
rebasings. The NAICS 55 data are
mostly comprised of corporate,
subsidiary, and regional managing
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47861
offices, or otherwise referred to as home
offices. Formerly, all of the expenses
within this category were considered to
vary with, or be influenced by, the local
labor market and were thus included in
the labor-related share. Because many
hospitals are not located in the same
geographic area as their home office, we
analyzed data from a variety of sources
in order to determine what proportion
of these costs should be appropriately
included in the labor-related share.
Using data primarily from the
Medicare cost reports and a CMS
database of Home Office Medicare
Records (HOMER) (a database that
provides city and State information
(addresses) for home offices), we were
able to determine that 19 percent of the
total number of freestanding IRFs, IPFs,
and LTCHs that had home offices had
those home offices located in their
respective local labor markets—defined
as being in the same Metropolitan
Statistical Area (MSA).
The Medicare cost report requires
hospitals to report their home office
provider numbers. Using the HOMER
database to determine the home office
location for each home office provider
number, we compared the location of
the provider with the location of the
hospital’s home office. We then placed
providers into one of the following three
groups:
• Group 1—Provider and home office
are located in different States.
• Group 2—Provider and home office
are located in the same State and same
city.
• Group 3—Provider and home office
are located in the same State and
different city.
We found that 63 percent of the
providers with home offices were
classified into Group 1 (that is, different
State) and, thus, these providers were
determined to not be located in the
same local labor market as their home
office. Although there were a very
limited number of exceptions (that is,
providers located in different States but
the same MSA as their home office), the
63 percent estimate was unchanged.
We found that 9 percent of all
providers with home offices were
classified into Group 2 (that is, same
State and same city and, therefore, the
same MSA). Consequently, these
providers were determined to be located
in the same local labor market as their
home offices.
We found that 27 percent of all
providers with home offices were
classified into Group 3 (that is, same
State and different city). Using data
from the Census Bureau to determine
the specific MSA for both the provider
and its home office, we found that 10
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percent of all providers with home
offices were identified as being in the
same State, a different city, but the same
MSA.
Pooling these results, we were able to
determine that approximately 19
percent of providers with home offices
had home offices located within their
local labor market (that is, 9 percent of
providers with home offices had their
home offices in the same State and city
(and, thus, the same MSA), and 10
percent of providers with home offices
had their home offices in the same State,
a different city, but the same MSA). We
proposed to apportion the NAICS 55
expense data by this percentage. Thus,
we proposed to classify 19 percent of
these costs into the Professional Fees:
Labor-related cost category and the
remaining 81 percent into the
Professional Fees: Nonlabor-related
Services cost category.
Using this method and the IGI forecast
for the first quarter 2011 of the FY 2008based RPL market basket, the proposed
IRF labor-related share for FY 2012 was
the sum of the FY 2012 relative
importance of each labor-related cost
category. Consistent with our policy for
updating the labor-related share with
the most recent available data, the laborrelated share for this final rule reflects
IGI’s second quarter 2011 forecast of the
FY 2008-based RPL market basket. Table
9 shows the FY 2012 relative
importance labor-related share using the
FY 2008-based RPL market basket and
the FY 2002-based RPL market basket.
TABLE 9—COMPARISON OF THE FY 2011 RELATIVE IMPORTANCE LABOR-RELATED SHARE BASED ON THE FY 2002BASED RPL MARKET BASKET AND THE FY 2012 RELATIVE IMPORTANCE LABOR-RELATED SHARE BASED ON THE FY
2008-BASED RPL MARKET BASKET
FY 2011 relative
importance laborrelated share 1
FY 2012 relative
importance laborrelated share 2
Wages and Salaries ........................................................................................................................
Employee Benefits ...........................................................................................................................
Professional Fees: Labor-Related ...................................................................................................
Administrative and Business Support Services ...............................................................................
All Other: Labor-Related Services ...................................................................................................
Subtotal ............................................................................................................................................
Labor-Related Portion of Capital Costs (46%) ................................................................................
52.449
13.971
2.855
....................................
2.109
71.384
3.887
48.984
12.998
2.072
0.416
2.094
66.564
3.635
Total Labor-Related Share .......................................................................................................
75.271
70.199
1 Published
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2 Based
in the FY 2011 IRF PPS Notice (75 FR 42849) and based on the second quarter 2010 IGI forecast.
on the second quarter 2011 IGI forecast.
The labor-related share for FY 2012 is
the sum of the FY 2012 relative
importance of each labor-related cost
category, and would reflect the different
rates of price change for these cost
categories between the base year (FY
2008) and FY 2012. The sum of the
relative importance for FY 2012 for
operating costs (Wages and Salaries,
Employee Benefits, Professional Fees:
Labor-Related, Administrative and
Business Support Services, and All
Other: Labor-related Services) would be
66.564 percent, as shown in Table 9.
The portion of Capital that is
influenced by the local labor market is
estimated to be 46 percent, which is the
same percentage applied to the FY 2002based RPL market basket. Since the
relative importance for Capital-Related
Costs would be 7.903 percent of the
proposed FY 2008-based RPL market
basket in FY 2012, we take 46 percent
of 7.903 percent to determine the
proposed labor-related share of Capital
for FY 2012. The result would be 3.635
percent, which we add to 66.564
percent for the operating cost amount to
determine the total labor-related share
for FY 2012. Thus, the labor-related
share that we use for the IRF PPS in FY
2012 will be 70.199 percent. This laborrelated share is determined using the
same methodology that we used to
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calculate all previous IRF labor-related
shares.
Comment: One commenter stated that
the CMS proposal to no longer include
100 percent of certain types of costs in
the labor-related share calculation does
not coincide with the application of the
area wage index. This commenter noted
that costs captured in the ‘‘Other
Services’’ cost category in the RPL,
whether employees, local contractors,
national contractors, or home office
allocations, represent personal services,
which are in essence labor-related. The
commenter also noted that the laborrelated portion of the base rate is
adjusted by the area wage index. The
IPPS wage index includes in its
calculation of the local (CBSA) wage
index not a portion based on location
relative to the provider, but 100 percent
of the allocated home office wages,
benefits, and hours. The commenter
noted that the hospital wage index also
includes contracted administrative and
general services, which would include
those categories in CMS’ survey such as
accounting, legal, etc. The commenter
suggested that if these costs are
included in the IPPS wage index, then
they should also be included in full in
the labor-related portion of the base rate
that will be multiplied by the
adjustment factor for the IRF
calculation.
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Response: We appreciate the
commenter’s suggestion. However, we
disagree that we should allocate 100
percent of service costs as labor-related.
The wage index that is applied to the
labor-related portion of any payment
system measures the variation in labor
costs based on geographic differences.
Therefore, it is appropriate that the
wage index would include all relative
cost differences for various labor
categories. The labor-related share is
defined as the proportion of total costs
that are related to, influenced by, or
vary with the local labor market. A cost
category is defined as labor-related if
both the costs of the service are laborintensive and those costs vary with the
local labor market. That is, the laborrelated share must only include the
proportion of costs that are determined
to vary with the local labor market. The
apportionment of some of the costs
associated with various nonmedical
professional fees and home office
expenses into nonlabor-related
categories reflects the findings of our
analyses that concluded portions of
those costs are purchased (or paid for)
beyond the organization’s local labor
market and thus, are not related to or
influenced by the local labor market.
Comment: One commenter expressed
concerns regarding the drop in the
labor-related share from around 75
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percent to 70 percent. The commenter
asked CMS to articulate the driving
factors contributing to the drop in the
estimated labor-related share and
consider the appropriateness of those
factors.
Response: Of the decrease in the
labor-related share from about 75
percent to 70 percent, over 3-quarters of
that decrease is the result of the
decrease in the compensation cost
weight. As displayed in Table 4, the
2008-based RPL market basket
compensation cost weight is 62.278
percent while the 2002-based RPL
market basket compensation cost weight
is 65.877 percent, a decrease of about
3.6 percentage points. The
compensation cost weights for both the
2002-based and the 2008-based RPL
market baskets were calculated using
the Medicare cost reports for
freestanding IRFs, IPFs, and LTCHS. We
found during our most-recent rebasing
process that the compensation cost
weight had begun gradually decreasing
over the 2003 to 2008 time period. The
new labor-related share reflects the most
recently available and complete set of
Medicare cost reports, and thus reflects
the updated and appropriate proportion
of costs that are related to, influenced
by, or vary with the local labor market
for IRFs, IPFs, and LTCHs.
The remaining difference between the
2002-based and the 2008-based laborrelated shares is primarily attributable
to the classification of costs as laborrelated and nonlabor-related using an
empirically based apportionment of
professional fees and home office costs.
We believe the data and methods used
to derive this apportionment were
technically appropriate and result in a
more accurate updated labor-related
share.
Comment: One commenter pointed
out that Table 9 in the FY 2012 IRF
Proposed Rule showed a reduction in
the labor-related share of 4.937 percent.
The commenter attributed this change to
the change in the methodology for how
CMS classified professional fees and
home office costs. The commenter noted
that CMS only counted 19 percent of
costs for professional fees and home
office costs as labor-related and subject
to the area wage index adjustment. The
commenter noted their support for the
use of new data to ensure the IRF PPS
accurately reimburses IRFs for the
services they provide, but expressed
concern that the survey upon which
CMS based its decision to make a
change to the labor-related share was
conducted with acute care hospitals
paid under the IPPS. The commenter
expressed concern that the results of the
professional fees survey may not
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accurately reflect the percentage of
nonmedical professional services
provided by entities outside the local
labor market utilized by IRFs. The
commenter requested in the future that
CMS conduct a study of nonmedical
professional services using only IRFs,
IPFs, and LTCHs.
Response: The overall proposed laborrelated share as shown in Table 9 of the
FY 2012 IRF proposed rule (76 FR
24243) showed a decline of 4.937
percent. The commenter attributed the
entire change in the labor-related share
from the 2002-based RPL market basket
to the 2008-based market basket to our
change in the professional fees and
home office cost labor-related
designations. We disagree that this is
the principal driver for the decline in
the labor-related share. The majority of
the decline is based on a decline in
relative compensation costs from 2002
to 2008 as reported on the Medicare cost
reports. In particular, this accounts for
over 3-quarters of the difference in the
labor-related share. The remaining
decrease in the labor-related share is
primarily the result of the treatment of
professional fees as labor-related or
nonlabor-related. Finally, we did not
use 19 percent as the value to determine
the professional fees that were
purchased within the local labor market.
That is the percentage of home office
costs that was determined to be
purchased within the local labor market.
For estimates associated with the
apportionment of professional fees, we
refer the reader to the discussion of the
use of the survey results and how they
were applied to determine the laborrelated portions. This discussion can be
found in the FY 2012 IRF PPS proposed
rule at (76 FR at 24241 through 24242).
We note that while this survey was
conducted using responses from IPPS
hospitals, we would expect that these
data serve as an appropriate proxy for
the purchasing patterns of professional
services for IRFs as they are also
institutional providers of health care
services.
Comment: Several commenters
recommended that CMS phase-in the
change to the labor-related share over a
2 year period to allow IRFs a longer
period of time to absorb the impact of
this reduction to the labor-related share.
Response: We do not believe that a
phase-in of the labor-related share is
necessary. We estimate that only 3 IRFs
would lose more than 5 percent in
payments from this change, with the
maximum estimated loss being 7.85
percent. While significant, this is
similar to percentage changes in
payments due to annual wage index
fluctuations, and we do not typically
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47863
provide phase-ins for the standard wage
index fluctuations that occur from year
to year.
Final Decision: After consideration of
the public comments received, we are
finalizing our methodology for
calculating the labor-related share for
FY 2012 using the 2008-based RPL
market basket and the most recent
forecast data available at the time of this
final rule which is IHS Global Insight
Inc.’s second quarter 2011 forecast. This
is also the same forecast we are using to
derive the FY 2012 market basket
update for this final rule. As the
updated labor-related share reflects the
current proportion of costs that are
related to, are influenced by, or vary
with the local labor market, we believe
it is appropriate to incorporate the
results in full into the FY 2012 payment
update. Table 9 shows the relative
importance of the FY 2012 labor-related
share using the FY 2008-based RPL
market basket and the FY 2011 relative
importance labor-related share using the
FY 2002-based RPL market basket.
B. Area Wage Adjustment
Section 1886(j)(6) of the Act requires
the Secretary to adjust the proportion of
rehabilitation facilities’ costs
attributable to wages and wage related
costs (as estimated by the Secretary from
time to time) by a factor (established by
the Secretary) reflecting the relative
hospital wage level in the geographic
area of the rehabilitation facility
compared to the national average wage
level for those facilities. The Secretary
is required to update the IRF PPS wage
index on the basis of information
available to the Secretary on the wages
and wage-related costs to furnish
rehabilitation services. Any adjustment
or updates made under section
1886(j)(6) of the Act for a FY are made
in a budget neutral manner.
In the FY 2009 IRF PPS final rule (73
FR 46378), we maintained the
methodology described in the FY 2006
IRF PPS final rule to determine the wage
index, labor market area definitions and
hold harmless policy consistent with
the rationale outlined in the FY 2006
IRF PPS final rule (70 FR 47880, 47917
through 47926).
For FY 2012, we are maintaining the
policies and methodologies described in
the FY 2009 IRF PPS final rule (73 FR
46378) relating to the labor market area
definitions and the wage index
methodology for areas with wage data.
Thus, we are using the CBSA labor
market area definitions and the FY 2011
pre-reclassification and pre-floor
hospital wage index data. In accordance
with section 1886(d)(3)(E) of the Act,
the FY 2011 pre-reclassification and
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pre-floor hospital wage index is based
on data submitted for hospital cost
reporting periods beginning on or after
October 1, 2006, and ending September
30, 2007 (that is, FY 2007 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 will 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 2012
IRF PPS wage index.
Additionally, we will incorporate the
CBSA changes published in the most
recent OMB bulletin that applies to the
hospital wage data used to determine
the current IRF PPS wage index. The
changes were nominal and did not
represent substantive changes to the
CBSA-based designations. Specifically,
OMB added or deleted certain CBSA
numbers and revised certain titles. The
OMB bulletins are available at https://
www.whitehouse.gov/omb/bulletins/
index.html.
To calculate the wage-adjusted facility
payment for the payment rates set forth
in this final rule, we multiply the
unadjusted Federal payment rate for
IRFs by the FY 2012 labor-related share
based on the FY 2008-based RPL market
basket (70.199 percent) to determine the
labor-related portion of the standard
payment amount. We then multiply the
labor-related portion by the applicable
IRF wage index from the tables in the
addendum to this final rule. Table A is
for urban areas and Table B is for rural
areas.
Adjustments or updates to the IRF
wage index made under section
1886(j)(6) of the Act must be made in a
budget neutral manner. We calculate a
budget neutral wage adjustment factor
as established in the FY 2004 IRF PPS
final rule (68 FR 45689), codified at
§ 412.624(e)(1), as described in the steps
below. We use the listed steps to ensure
that the FY 2012 IRF standard payment
conversion factor reflects the update to
the wage indexes (based on the FY 2007
hospital cost report data) and the laborrelated share in a budget neutral
manner:
Step 1. Determine the total amount of
the estimated FY 2011 IRF PPS rates,
using the FY 2011 standard payment
conversion factor and the labor-related
share and the wage indexes from FY
2011 (as published in the FY 2011 IRF
PPS final rule (75 FR 42836)).
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Step 2. Calculate the total amount of
estimated IRF PPS payments using the
FY 2011 standard payment conversion
factor and the proposed FY 2012 laborrelated share and CBSA urban and rural
wage indexes.
Step 3. Divide the amount calculated
in step 1 by the amount calculated in
step 2. The resulting quotient is the FY
2012 budget neutral wage adjustment
factor of 0.9988 percent.
Step 4. Apply the FY 2012 budget
neutral wage adjustment factor from
step 3 to the FY 2011 IRF PPS standard
payment conversion factor after the
application of the adjusted market
basket update to determine the FY 2012
standard payment conversion factor.
We received 2 comments on the
proposed FY 2012 IRF PPS wage index,
which are summarized below.
Comment: Several commenters
recommended that CMS develop a new
methodology for area wage adjustment
that eventually eliminates hospital wage
index reclassifications for all hospitals
and that reduces the problems
associated with unreasonable annual
fluctuations in wage indices and across
geographic boundaries. These
commenters also recommended that
CMS consider wage index policies
under the current IPPS because IRFs
compete in a similar labor pool as acute
care hospitals. The IPPS wage index
policies would allow IRFs to benefit
from the IPPS reclassification and/or
floor policies. The commenters further
recommended that until a new wage
index system is implemented, CMS
institute a ‘‘smoothing’’ variable to the
current process to reduce the
fluctuations IRFs annually experience.
Response: We note that the IRF PPS
does not account for geographic
reclassification under sections
1886(d)(8) and (d)(10) of the Act, and
does not apply the ‘‘rural floor’’ under
section 4410 of the BBA. As we do not
have an IRF-specific wage index, we are
unable to determine at this time the
degree, if any, to which a geographic
reclassification adjustment or a ‘‘rural
floor’’ policy under the IRF PPS is
appropriate. The rationale for our
current wage index policies is fully
described in the FY 2006 final rule (70
FR 47880, 47926 through 47928).
Although some commenters
recommended that we adopt the IPPS
wage index policies such as
reclassification and floor policies, we
note that Medicare Payment Advisory
Commission (MedPAC’s) June 2007
report to the Congress, titled ‘‘Report to
Congress: Promoting Greater Efficiency
in Medicare,’’ recommends that
Congress ‘‘repeal the existing hospital
wage index statute, including
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reclassification and exceptions, and give
the Secretary authority to establish new
wage index systems.’’ We believe that
adopting the IPPS wage index policies,
such as reclassification or floor, would
not be prudent at this time because
MedPAC suggests that the
reclassification and exception policies
in the IPPS wage index alters the wage
index values for one-third of IPPS
hospitals.
As one commenter noted, we have
research currently under way to
examine alternatives to the wage index
methodology, including the issues the
commenters mentioned about ensuring
that the wage index minimizes
fluctuations, matches the costs of labor
in the market, and provides for a single
wage index policy. Section 3137(b) of
the Affordable Care Act requires CMS to
submit a report to Congress by
December 31, 2011 that includes a plan
to reform the hospital wage index
system. That report is to take MedPAC’s
2009 recommendations on the Medicare
wage index classification system into
account, and is to include a proposal to
revise the IPPS wage index system.
MedPAC’s recommendations were
presented in the FY 2009 IPPS final rule
(https://edocket.access.gpo.gov/2008/
pdf/E8-17914.pdf). The proposal is to
consider each of the following:
• The use of Bureau of Labor
Statistics data or other data or
methodologies to calculate relative
wages for each geographic areas.
• Minimizing variations in wage
index adjustments between and within
MSAs and statewide rural areas.
• Methods to minimize the volatility
of wage index adjustments while
maintaining the principle of budget
neutrality.
• The effect that the implementation
of the proposal would have on health
care providers in each region of the
country.
• Issues relating to occupational mix,
such as staffing practices and any
evidence on quality of care and patient
safety, including any recommendations
for alternative calculations to the
occupational mix.
• The provision of a transition period.
CMS enlisted the help of Acumen,
LLC to assist us in meeting the
requirements of section 106(b)(2) of the
Tax Relief and Health Care Act of 2006
(Pub. L. 109–432, enacted on December
2006) (TRCA). In February 2008, we
awarded a Task Order under the
Expedited Research and Demonstration
Contract to Acumen, LLC. Acumen, LLC
conducted a study of both the current
methodology used to construct the
Medicare wage index and the
recommendations reported to Congress
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by MedPAC. Parts 1 and 2 of Acumen’s
final report, which analyzes the
strengths and weaknesses of the data
sources used to construct the CMS and
MedPAC indexes, is available online at
https://www.acumenllc.com/reports/cms.
MedPAC’s recommendations were
presented in the FY 2009 IPPS final rule
(https://edocket.access.gpo.gov/2008/
pdf/E8-17914.pdf). We plan to monitor
the efforts to develop an alternative
wage index system for the IPPS closely,
and determine the impact or influence
they may have to the IRF PPS wage
index.
Final Decision: Having considered the
public comments received, we have
decided to continue to use the policies
and methodologies described in the FY
2009 IRF PPS final rule relating to the
labor market area definitions and the
wage index methodology for areas
without wage data. Therefore, this final
rule continues to use the Core-Based
Statistical Area (CBSA) labor market
area definitions and the prereclassification and pre-floor hospital
wage index data based on 2007 cost
report data. However, we will continue
to monitor progress on the revisions to
the IPPS wage index to identify any
policy changes that may be appropriate
for IRFs.
We discuss the calculation of the
standard payment conversion factor for
FY 2012 in section VI.C of this final
rule.
C. Description of the Final IRF Standard
Payment Conversion Factor and
Payment Rates for FY 2012
To calculate the standard payment
conversion factor for FY 2012, as
illustrated in Table 10, we begin by
applying the adjusted market basket
increase factor for FY 2012 that was
adjusted in accordance with sections
1886(j)(3)(C) and (D) of the Act (1.8
percent, or 2.9 percent less a cumulative
total adjustment of 1.1 percentage
points, as described in section VI.A.3. of
this final rule), to the standard payment
conversion factor for FY 2011 ($13,860).
Applying the 1.8 percent adjusted
market basket increase factor for FY
2012 to the standard payment
conversion factor for FY 2011 of $13,860
yields a standard payment amount of
$14,109. Then, we apply the budget
neutrality factor for the FY 2012 wage
index and labor-related share of 0.9988,
which results in a standard payment
amount of $14,093. Finally, we apply
the budget neutrality factor for the
revised CMG relative weights of 0.9988,
which results in a final standard
payment conversion factor of $14,076
for FY 2012.
TABLE 10—CALCULATIONS TO DETERMINE THE FY 2012 STANDARD PAYMENT CONVERSION FACTOR
Explanation for adjustment
Calculations
Standard Payment Conversion Factor for FY 2011 ....................................................................................................................
Payment Update Factor for FY 2012 (1.8 percent), which reflects a 2.9 percent market basket increase, reduced by a 1.0
percentage point productivity adjustment, and reduced by 0.1 percentage point in accordance with sections
1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(ii) 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 .................................................................................
FY 2012 Standard Payment Conversion Factor .........................................................................................................................
After the application of the CMG
relative weights described in section IV
of this final rule, to the FY 2012
standard payment conversion factor
($14,076), the resulting unadjusted IRF
prospective payment rates for FY 2012
$13,860
× 1.018
× 0.9988
× 0.9988
= $14,076
are shown in Table 11, ‘‘FY 2012
Payment Rates.’’
TABLE 11—FY 2012 PAYMENT RATES
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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
Payment rate tier 1
Payment rate tier 2
Payment rate tier 3
$10,804.74
13,410.21
16,014.27
16,636.42
19,330.57
22,261.19
25,204.49
31,217.75
28,867.06
37,208.50
10,514.77
14,938.86
17,003.81
17,813.18
22,496.26
28,004.20
37,868.66
14,886.78
18,851.99
22,414.62
31,034.76
14,903.67
19,427.70
34,710.01
61,648.66
54,454.41
9,232.45
$10,109.38
12,545.94
14,982.49
15,565.24
18,086.25
20,826.85
23,581.52
29,206.29
27,009.03
34,811.36
8,631.40
12,263.01
13,959.17
14,622.15
18,467.71
22,988.92
31,086.85
13,391.91
16,958.76
20,163.87
27,918.34
12,407.99
16,174.73
28,896.62
51,322.50
45,333.17
8,863.66
$9,080.43
11,270.65
13,459.47
13,983.10
16,246.52
18,708.41
21,182.97
26,236.26
24,261.39
31,271.24
7,995.17
11,359.33
12,928.81
13,543.93
17,105.16
21,294.17
28,793.87
11,881.55
15,045.84
17,889.19
24,768.13
11,287.54
14,713.64
26,286.93
46,688.68
41,239.86
7,905.08
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05AUR3
Payment rate no
comorbidity
$8,589.18
10,659.75
12,728.93
13,224.40
15,365.36
17,694.94
20,034.37
24,814.58
22,946.70
29,576.49
7,260.40
10,313.49
11,740.79
12,298.20
15,532.87
19,334.79
26,144.76
10,880.75
13,779.00
16,384.46
22,684.88
9,903.87
12,909.10
23,064.93
40,963.98
36,183.77
7,005.63
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TABLE 11—FY 2012 PAYMENT RATES—Continued
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CMG
0502
0503
0504
0505
0506
0601
0602
0603
0604
0701
0702
0703
0704
0801
0802
0803
0804
0805
0806
0901
0902
0903
0904
1001
1002
1003
1101
1102
1201
1202
1203
1301
1302
1303
1401
1402
1403
1404
1501
1502
1503
1504
1601
1602
1603
1701
1702
1703
1704
1801
1802
1803
1901
1902
1903
2001
2002
2003
2004
2101
5001
5101
5102
5103
5104
Payment rate tier 1
.................................................................................
.................................................................................
.................................................................................
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Payment rate tier 2
Payment rate tier 3
13,815.59
17,538.70
21,146.37
24,714.64
34,636.81
13,311.67
17,617.52
22,752.45
30,167.68
11,262.21
14,737.57
17,734.35
22,919.95
8,086.66
10,873.71
14,992.35
13,241.29
16,305.64
19,909.09
1,918.15
15,939.66
20,414.42
26,450.21
14,547.55
19,102.54
28,222.38
14,581.33
21,938.85
11,404.38
14,869.89
18,342.44
12,579.72
16,566.04
1,411.00
13,246.92
17,789.25
21,484.20
27,828.25
13,527.04
17,023.51
20,992.95
26,519.18
15,732.75
21,074.59
27,234.24
14,689.71
19,384.06
22,859.42
29,266.82
16,913.72
23,246.51
39,854.79
16,184.58
30,830.66
51,689.89
12,022.31
16,090.28
20,318.71
27,245.51
35,405.36
................................
................................
................................
................................
................................
13,263.81
16,837.71
20,301.81
23,726.51
33,253.14
11,249.54
14,888.19
19,227.82
25,494.45
11,087.67
14,508.13
17,457.06
22,562.42
8,086.66
10,873.71
14,992.35
13,241.29
16,305.64
19,909.09
10,500.70
14,045.03
17,987.72
23,305.63
12,790.86
16,794.08
24,813.17
14,581.33
21,938.85
11,404.38
14,869.89
18,342.44
13,673.43
18,006.02
23,271.85
10,606.27
14,242.10
17,200.87
22,279.49
12,630.39
15,896.03
19,602.24
24,762.50
12,384.06
16,588.57
21,437.75
13,075.20
17,251.55
20,345.45
26,047.64
13,876.12
19,070.16
32,695.73
14,257.58
27,161.05
45,537.27
10,623.16
14,216.76
17,953.94
24,075.59
30,644.86
................................
................................
................................
................................
................................
11,829.47
15,016.28
18,105.96
21,160.45
29,656.72
10,260.00
13,580.52
17,538.70
23,254.96
10,678.05
13,973.25
16,813.78
21,731.94
7,536.29
10,133.31
13,971.84
12,340.43
15,195.04
18,553.58
9,502.71
12,709.22
16,277.49
21,090.07
11,428.30
15,005.02
22,169.70
13,831.08
20,808.55
11,407.19
14,872.70
18,345.25
13,673.43
18,006.02
23,271.85
9,378.84
12,593.80
15,210.53
19,702.18
10,886.38
13,701.58
16,895.42
21,343.44
10,868.08
14,557.40
18,812.57
11,866.07
15,656.73
18,463.49
23,639.23
13,396.13
18,411.41
31,565.43
12,934.44
24,638.63
41,310.24
9,523.82
12,747.23
16,097.31
21,585.55
24,404.97
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................................
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05AUR3
Payment rate no
comorbidity
10,483.80
13,308.86
16,046.64
18,754.86
26,284.11
9,274.68
12,275.68
15,853.80
21,021.10
9,532.27
12,472.74
15,007.83
19,396.73
6,880.35
9,252.15
12,755.67
11,266.43
13,873.31
16,939.06
8,608.88
11,514.17
14,747.43
19,108.17
10,213.55
13,411.61
19,814.79
12,980.89
19,530.45
10,782.22
14,057.70
17,340.22
11,094.70
14,609.48
18,882.95
8,482.20
11,390.30
13,756.47
17,818.81
10,290.96
12,951.33
15,970.63
20,175.13
10,158.65
13,607.27
17,585.15
10,372.60
13,686.09
16,140.95
20,664.98
12,253.16
16,840.53
28,872.69
12,560.01
23,927.79
40,118.01
8,556.80
11,452.23
14,461.68
19,392.51
19,781.00
2,076.21
8,242.91
20,717.06
9,810.97
26,431.91
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D. Example of the Methodology for
Adjusting the Federal Prospective
Payment Rates
in a LIP adjustment of 1.0666 percent), a
wage index of 0.8896, and a teaching status
adjustment of 0.0610.
Table 12 illustrates the methodology
for adjusting the Federal prospective
payments (as described in sections VI.A.
through VI.C. of this final rule). The
following examples are based on two
hypothetical Medicare beneficiaries,
both classified into CMG 0110 (without
comorbidities). The unadjusted Federal
prospective payment rate for CMG 0110
(without comorbidities) appears in
Table 11.
To calculate each IRF’s labor and nonlabor portion of the Federal prospective
payment, we begin by taking the
unadjusted Federal prospective
payment rate for CMG 0110 (without
comorbidities) from Table 11. Then, we
multiply the labor-related share for FY
2012 (70.199 percent) described in
section VI.A.4 of this final rule by the
unadjusted Federal prospective
payment rate. To determine the nonlabor portion of the Federal prospective
payment rate, we subtract the labor
portion of the Federal payment from the
unadjusted Federal prospective
payment.
To compute the wage-adjusted
Federal prospective payment, we
multiply the labor portion of the Federal
payment by the appropriate wage index
found in the addendum in Tables A and
B. The resulting figure is the wage-
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 DSH percentage of 5 percent
(which would result in a LIP adjustment of
1.0228), a wage index of 0.8391, and a rural
adjustment of 18.4 percent. Facility B, an
urban teaching hospital, has a DSH
percentage of 15 percent (which would result
47867
adjusted labor amount. Next, we
compute the wage-adjusted Federal
payment by adding the wage-adjusted
labor amount to the non-labor portion.
Adjusting the wage-adjusted Federal
payment by the facility-level
adjustments involves several steps.
First, we take the wage-adjusted Federal
prospective payment and multiply it by
the appropriate rural and LIP
adjustments (if applicable). Second, to
determine the appropriate amount of
additional payment for the teaching
status adjustment (if applicable), we
multiply the teaching status adjustment
(0.0610, in this example) by the wageadjusted and rural-adjusted amount (if
applicable). Finally, we add the
additional teaching status payments (if
applicable) to the wage, rural, and LIPadjusted Federal prospective payment
rates. Table 12 illustrates the
components of the adjusted payment
calculation.
TABLE 12—EXAMPLE OF COMPUTING THE IRF FY 2012 FEDERAL 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 Federal Prospective Payment ............................................................................
Labor Share ...........................................................................................................................
Labor Portion of Federal Payment .........................................................................................
CBSA Based Wage Index (shown in the Addendum, Tables 1 and 2) ................................
Wage-Adjusted Amount .........................................................................................................
Nonlabor Amount ...................................................................................................................
Wage-Adjusted Federal Payment ..........................................................................................
Rural Adjustment ....................................................................................................................
Wage- and Rural-Adjusted Federal Payment ........................................................................
LIP Adjustment .......................................................................................................................
FY 2012 Wage-, Rural-, and LIP-Adjusted Federal Prospective Payment Rate ..................
FY 2012 Wage- and Rural-Adjusted Federal Prospective Payment .....................................
Teaching Status Adjustment ..................................................................................................
Teaching Status Adjustment Amount ....................................................................................
FY2012 Wage-, Rural-, and LIP-Adjusted Federal Prospective Payment Rate ...................
Total FY 2012 Adjusted Federal Prospective Payment ........................................................
Thus, the adjusted payment for Facility
A would be $31,771.45 and the adjusted
payment for Facility B would be
$30,765.80.
VII. Update to Payments for High-Cost
Outliers Under the IRF PPS
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A. Update to the Outlier Threshold
Amount for FY 2012
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
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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
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Frm 00033
Fmt 4701
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$29,576.49
× 0.70199
= $20,762.40
× 0.8391
= $17,421.73
+ $8,814.09
= $26,235.82
× 1.184
= $31,063.21
× 1.0228
= $31,771.45
$31,063.21
× 0.0000
= $0.00
+ $31,771.45
= $31,771.45
Urban facility B
(Harrison Co., IN)
$29,576.49
× 0.70199
= $20,762.40
× 0.8896
= $18,470.23
+ $8,814.09
= $27,284.32
× 1.000
= $27,284.32
× 1.0666
= $29,101.46
$27,284.32
× 0.0610
= $1,664.34
+ $29,101.46
= $30,765.80
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 2010 IRF PPS final rules
and the FY 2011 notice (70 FR 47880,
71 FR 48354, 72 FR 44284, 73 FR 46370,
74 FR 39762, and 75 FR 42836,
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
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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 2012, we use FY 2010
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 2011. Based on an analysis of
the most recent FY 2010 IRF claims
data, the IRF outlier payments as a
percentage of total estimated payments
were approximately 2.6 percent in FY
2011.
We received 3 comments on the
update to the outlier threshold amount
for FY 2012, which are summarized
below:
Comment: One commenter expressed
support for continuing to establish
outlier payments at 3 percent of total
payments. However, several
commenters requested more information
on why the proposed outlier threshold
increased from $11,410 in FY 2011 to
$11,822 in the FY 2012 proposed rule
when only 2.7 percent of the 3 percent
outlier payments were projected to be
paid out in FY 2011.
Response: We proposed to move to an
un-weighted regression methodology in
the FY 2012 proposed rule, which
caused a reduction to the LIP and
Teaching adjustment factors. Our
facility-level adjustment factors are
budget neutral, meaning that any
reduction in the adjustment factors
results in an increase to the standard
payment conversion factor. Therefore,
the standard payment conversion factor
was estimated to increase from $13,860
in FY 2011 to $14,528 in the FY 2012
proposed rule (this has changed to
$14,076 in this final rule, as discussed
below). The large increase in the
proposed standard payment conversion
factor resulted in an increase to the
outlier threshold, rather than the
decrease anticipated by the commenters.
However, as we are not adopting the
proposed revisions to the facility-level
adjustments in this final rule, the
increase in the standard payment
conversion factor from FY 2011 to FY
2012 is smaller. The final standard
payment conversion factor for FY 2012
is $14,076. Consequently, the FY 2012
outlier threshold that we are finalizing
in this final rule is lower than the FY
2011 outlier threshold amount.
Comment: One commenter stated that
the calculation of the CCRs in other
settings has been identified as a
potential reason for those settings’
difficulties in establishing an
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appropriate outlier threshold, which
may also be the case for the IRF PPS.
The commenter suggested that CMS
assess whether this is a problem for the
IRF PPS and release more information
on the role that the CCRs play in
establishing the outlier threshold.
Response: We appreciate the
commenter’s concerns. However, we do
not believe that the calculation of the
CCRs creates a problem in setting the
outlier threshold for the IRF PPS. In
order to set the outlier threshold, we
first estimate the cost of a case in the
current fiscal year by multiplying an
overall facility-specific cost-to-charge
ratio by charges and by the market
basket for the current fiscal year
(without any adjustments). The outlier
threshold for the upcoming fiscal year is
then calculated by simulating aggregate
payments with and without a change in
the outlier threshold, and applying an
iterative process that accounts for
changes in the market basket, wage
index and labor-share, CMG relative
weights, and facility-level adjustment
factors, to determine a threshold for the
upcoming fiscal year that would result
in outlier payments being equal to
3 percent of total payments under the
simulation.
We note, too, that we implemented a
new outlier reconciliation process for
IRFs (and other settings) beginning
April 1, 2011 that we believe will
improve the accuracy and reliability of
the IRF CCRs. For more information on
the new outlier reconciliation process,
please view the ‘‘Outlier
Reconciliation’’ link on the IRF PPS
Web site at (https://www.cms.gov/
InpatientRehabFacPPS/03_OutlierR.
asp#TopOfPage).
Comment: One commenter suggested
that CMS evaluate the distribution of
outlier payments. If CMS determines
that low-volume facilities, rather than
facilities treating patients of a higher
acuity level, are mostly receiving the
outlier payments then CMS should
reduce the outlier pool and add the
amount back to the standard payment
conversion factor.
Response: We will continue to
monitor our IRF outlier policies to
ensure that they appropriately
compensate IRFs for treating unusually
high-cost patients and, thereby, promote
access to care of patients who are likely
to require unusually high-cost care. At
this time, however, we do not find any
indications to suggest that low-volume
facilities are disproportionately
receiving outlier payments. We believe
that the outlier policy of 3 percent of
total estimated payments optimizes the
extent to which we can encourage
facilities to continue to take patients
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that are likely to have unusually high
costs, while still providing adequate
payment for all other cases. In addition,
as we have explained before, we do not
make adjustments to PPS payment rates
to account for differences between
projected and actual outlier payments in
a previous year. We believe that our
outlier policies are consistent with the
statute and the goals of the prospective
payment system, and that they are
equitable. We will carefully consider the
commenter’s suggestions, and will
consider proposing additional
refinements to the IRF outlier policies in
the future if we find that such
refinements are necessary.
Final Decision: After carefully
considering all of the comments we
received on the proposed update to the
outlier threshold amount for FY 2012,
we are reducing the outlier threshold
amount to $10,660 to maintain
estimated outlier payments at 3 percent
of total estimated aggregate IRF
payments for FY 2012.
B. Update to the IRF Cost-to-Charge
Ratio Ceilings
In accordance with the methodology
stated in the FY 2004 IRF PPS final rule
(68 FR 45674, 45692 through 45694), we
apply a ceiling to IRFs’ CCRs. Using the
methodology described in that final
rule, we update the national urban and
rural CCRs for IRFs, as well as the
national CCR ceiling for FY 2012, 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 2012,
as discussed below.
• Other IRFs for which accurate data
to calculate an overall CCR are not
available.
Specifically, for FY 2012, the national
average CCR for rural IRFs is 0.669,
which we calculated by taking an
average of the CCRs for all rural IRFs
using their most recently submitted cost
report data. Similarly, the national
average CCR for urban IRFs is 0.520,
which we calculated by taking an
average of the CCRs for all urban IRFs
using their most recently submitted cost
report data. We apply weights to both of
these averages using the IRFs’ estimated
costs, meaning that the CCRs of IRFs
with higher costs factor more heavily
into the averages than the CCRs of IRFs
with lower costs. For this final rule, we
used the most recent available cost
report data (FY 2009). This includes all
IRFs whose cost reporting periods begin
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on or after October 1, 2008, and before
October 1, 2009. If, for any IRF, the FY
2009 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 2008) 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
set the national CCR ceiling at 3
standard deviations above the mean
CCR. Using this method, the national
CCR ceiling is set at 1.55 for FY 2012.
This means that, if an individual IRF’s
CCR exceeds this ceiling of 1.55 for FY
2012, we would replace the IRF’s CCR
with the appropriate national average
CCR (either rural or urban, depending
on the geographic location of the IRF).
We calculate the national CCR ceiling
by:
Step 1. Taking the national average
CCR (weighted by each IRF’s total costs,
as discussed above) of all IRFs for which
we have sufficient cost report data (both
rural and urban IRFs combined).
Step 2. Calculating the standard
deviation of the national average CCR
computed in step 1.
Step 3. Multiplying the standard
deviation of the national average CCR
computed in step 2 by a factor of 3 to
compute a statistically significant
reliable ceiling.
Step 4. Adding the result from step 3
to the national average CCR of all IRFs
for which we have sufficient cost report
data, from step 1.
We did not receive any comments on
the proposed updates to the IRF CCR
Ceilings.
Final Decision: We did not receive
any comments on the IRF cost-to-charge
ratio ceiling. Therefore, we are
finalizing the national average urban
CCR at 0.520, the national average rural
CCR at 0.669, and the national CCR
ceiling at 1.55 percent for FY 2012.
VIII. Impact of the IPPS Data Matching
Process Changes on the IRF PPS
Calculation of the Low-Income
Percentage Adjustment Factor
Section 1886(j)(3)(A)(v) of the Act
confers broad authority upon the
Secretary to adjust the per unit payment
rate ‘‘by such * * * factors as the
Secretary determines are necessary to
properly reflect variations in necessary
costs of treatment among rehabilitation
facilities.’’ For example, we adjust the
Federal prospective payment amount
associated with a CMG to account for
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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).
In the FY 2002 IRF PPS final rule (66
FR 41359 through 41361) that
implemented the IRF PPS, we
established the IRF LIP adjustment. In
that final rule, we said that we would
calculate the LIP adjustment by using
the same DSH patient percentage used
in the acute IPPS DSH adjustment.
The DSH patient percentage is equal
to the sum of the ‘‘Supplemental
Security Income (SSI) fraction’’ and the
‘‘Medicaid Fraction.’’ We compute the
SSI fraction (also known as the ‘‘SSI
ratio’’ or the ‘‘Medicare fraction’’) by
dividing the number of the facility’s
inpatient days that are furnished to
patients who were entitled to both
Medicare Part A (including patients
who are enrolled in a Medicare
Advantage (Part C) plan) and SSI
benefits by the facility’s total number of
patient days furnished to patients
entitled to benefits under Medicare Part
A (including patients who are enrolled
in a Medicare Advantage (Part C) plan).
To determine the number of inpatient
days for individuals entitled to both
Medicare Part A and SSI, as required for
calculation of the numerator of the SSI
fraction, we match the Medicare records
and SSI eligibility records for each IRF’s
patients during the FY. The data
underlying the match process are drawn
from: (a) The Medicare Provider
Analysis and Review (MedPAR) data
file; and (b) SSI eligibility data provided
by the Social Security Administration
(SSA). We recently revised this data
match. See the FY 2011 IPPS final rule
(75 FR 50041, 50276).
As previously stated, it is our policy
to calculate the LIP adjustment using
the same DSH patient percentage used
in the acute IPPS DSH adjustment. In
keeping with this long-standing policy,
we will use the same matching process
as IPPS for calculating the SSI fractions
for FYs 2011 and beyond. This process
is described in the FY 2011 IPPS final
rule, and will be used to calculate IRFs’
SSI fractions for FY 2011. The FY 2011
IPPS final rule (75 FR 50277 through
50286) gives information on this revised
data matching process.
We received 2 comments on our
stated policy to use the same data
matching process as IPPS for calculating
the SSI fractions for FYs 2011 and
beyond, which are summarized below.
Comment: The commenters supported
our use of the same data matching
process for IRFs that we use for IPPS.
However, one commenter asked
whether CMS plans to use the new data
matching process for calculating the IRF
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47869
SSI ratios for any cost reporting periods
prior to FY 2011. Specifically, the
commenter requested information on
whether or not CMS plans to apply the
new data matching process to any
existing appeals of the IRF SSI ratios,
regardless of the cost reporting period.
Response: As we discussed in the FY
2012 IRF PPS proposed rule (76 FR
24214 at 24249 through 24250), in
keeping with our long-standing policy
of using the same DSH patient
percentage used in the acute IPPS DSH
adjustment, we will use the same
matching process as IPPS for calculating
the IRF SSI ratios for FYs 2011 and
beyond. The comment about the data
matching process for existing appeals of
the SSI ratio for cost reporting periods
prior to FY 2011 is outside the scope of
the FY 2012 IRF PPS proposed rule. We
will continue our ongoing analysis to
determine the most appropriate
methodologies to use in addressing
open appeals, in both the IPPS and the
IRF settings.
IX. Updates to the Policies in 42 CFR
Part 412
Prior to the implementation of the IRF
PPS on January 1, 2002, IRFs were paid
based on the costs that they reported on
their Medicare cost reports, subject to
some limits. To simplify the cost
reporting process, both for providers
and for CMS and the Medicare
contractors that monitored the cost
reports, regulations were put into place
that carefully defined, for example,
when and how providers could be
considered ‘‘new’’ and when and how
they could expand their bed size and
square footage. Under the IRF PPS,
however, Medicare pays IRFs according
to Federal prospective payment rates
that are no longer tied to an individual
IRF’s Medicare cost reports. This new
payment methodology has made some
of the requirements regarding new IRFs
and IRF expansions obsolete.
Prior to 2002, the regulations
distinguished between freestanding
rehabilitation hospitals and
rehabilitation units of acute care
hospitals, with separate regulatory
sections for the two types of facilities
even though many of the same
requirements applied to both. Under the
IRF PPS, the distinctions between
freestanding IRFs and IRF units are no
longer relevant because both types of
facilities are paid the same and are
subject to the same rules and
requirements. The separation of the
regulatory sections resulted in
unnecessary repetition and confusion
about which regulations applied to
which types of facilities.
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In addition, we added new IRF
coverage requirements to
§ 412.622(a)(3), (4), and (5) in the FY
2010 IRF PPS final rule (74 FR 39762 at
39811 through 39812) for IRF discharges
occurring on or after January 1, 2010.
Several of the IRF conditions of
payment in the existing § 412.23(b)5 and
§ 412.29, including the requirements for
preadmission screenings to be
conducted on all prospective patients,
the requirements for IRF patients to
receive close medical supervision, the
requirements for plans of care to be
developed for all IRF patients, and the
requirements for patients to receive an
interdisciplinary approach to care in the
IRF, mirror some of the IRF coverage
requirements in § 412.622(a)(3), (4), and
(5).
Finally, in recent years, we have
observed an increase in the number and
complexity of acquisitions and mergers
occurring in this industry. In some
cases, the Medicare rules and
requirements for IRFs did not
adequately address the number and
complexity of acquisitions and mergers
because they simply did not occur when
the regulations were written. In other
cases, regulations were written to
address issues that do not exist today.
For all of these reasons, in this final
rule we consolidate, clarify, and revise
the regulations for inpatient
rehabilitation facilities at § 412.23(b),
§ 412.25(b), § 412.29, and § 412.30 to
update and simplify the policies, to
eliminate unnecessary repetition and
confusion, and to enhance the
consistency with the IRF coverage
requirements in § 412.622(a)(3), (4), and
(5). The modifications will eliminate
regulations that are no longer necessary
under the IRF PPS, and they will enable
IRFs to more easily adjust to beneficiary
changes in demand for IRF services,
which will improve beneficiary access
to these services. Many of the
modifications will also reduce costs for
providers and for the government by
reducing the amount of time and
expenditures devoted to adhering to (for
providers) and enforcing (for the
government) regulations that are no
longer necessary. As we have no way of
determining how many IRFs might take
advantage of the added flexibility these
regulations afford to expand or change
their operations, we are not able to
quantify the potential savings that may
result from these changes. For example,
each time an IRF unit submitted a
request to add beds to its facility under
the prior regulations; the Medicare
contractor had to determine whether or
not the added IRF beds would be
considered ‘‘new.’’ To be considered
‘‘new,’’ the beds must have been added
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at the start of a cost reporting period,
and the hospital must have ‘‘obtained
approval, under State licensure and
Medicare certification, for an increase in
its hospital bed capacity that is greater
than 50 percent of the number of beds
it seeks to add to the unit.’’ We believe
that the first requirement (that beds can
only be added at the start of a cost
reporting period) was difficult, and
potentially costly, for IRFs that were
expanding through new construction
because the exact timing of the end of
a construction project is often difficult
to predict. Construction delays can
hamper an IRF’s ability to have the
construction completed exactly at the
start of a cost reporting period, which
can lead to significant revenue loss for
the facility if the IRF is unable to add
beds until the next cost reporting
period. We believe that it is no longer
necessary to require IRF beds to be
added at the start of a cost reporting
period. Further, the regulations required
Medicare contractors to expend
unnecessary resources determining
whether the IRF met the second criteria,
which required the hospital to have
‘‘obtained approval, under State
licensure and Medicare certification, for
an increase in its hospital bed capacity
that is greater than 50 percent of the
number of beds it seeks to add to the
unit.’’ The modifications to the
regulations in this final rule are
designed to simplify the regulations in
order to minimize the amount of effort
that Medicare contractors would need to
spend enforcing them. Finally, the
modifications will enhance the
consistency between the IRF coverage
and payment requirements.
We note that § 412.25(b) applies to
both IRFs and inpatient psychiatric
facilities (IPFs), so the revisions to
§ 412.25(b) will also affect IPFs in
similar ways.
A. Consolidation of the Requirements
for Rehabilitation Hospitals and
Rehabilitation Units
Under the IRF PPS, rehabilitation
hospitals and rehabilitation units of
acute care hospitals (and critical access
hospitals (CAHs)) are paid the same
and, with very few exceptions, are
subject to the same Medicare rules and
requirements. For this reason, we
believe that it is no longer necessary to
have separate sections in 42 CFR part
412 that define the requirements for
rehabilitation hospitals and
rehabilitation units of acute care
hospitals (and CAHs). This leads to
excessive repetition and potential
confusion about which rules apply to
which types of facilities.
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Thus, we are revising and
consolidating the regulations for
rehabilitation facilities that are currently
in § 412.23(b) (for rehabilitation
hospitals), § 412.29 (for rehabilitation
units), and § 412.30 (for rehabilitation
units) into a revised § 412.29 that
contains the requirements for all IRFs,
whether they be freestanding
rehabilitation hospitals or rehabilitation
units of acute care hospitals (or CAHs).
We believe that this will simplify the
regulations by consolidating the
majority of the requirements for IRFs
into just one sub-section of 42 CFR part
412.
Although we are making slight
modifications to the regulations in
§ 412.25(b), as discussed in section IX of
this final rule, we are not moving the
IRF regulations in § 412.25 to § 412.29
in this final rule. The regulations in
§ 412.25, such as the requirement to
have beds that are physically separate
from the rest of the hospital, the
requirement that the unit be serviced by
the same Medicare contractor as the rest
of the hospital, and the requirement that
the unit be treated as a separate cost
center for cost finding and
apportionment purposes, by their nature
apply uniquely to units that are part of
another hospital. While these
requirements are not applicable to
freestanding IRFs, we do not believe
that it would be appropriate to include
them with the rest of the IRF regulations
in § 412.29 that are intended to apply to
both freestanding IRF hospitals and to
IRF units of hospitals. Further, we are
not making modifications to § 412.25,
other than the changes to § 412.25(b) as
discussed in section IX of this final rule,
because the regulations in § 412.25(a)
through (g) (excluding (b)) remain
relevant and important for defining IRF
units of hospitals for payment purposes.
However, we are replacing the text
that was located at § 412.23(b) with text
that simply refers the reader to the
requirements in § 412.29, and moving
the rest of § 412.23(b) and all of § 412.30
to § 412.29. We are leaving text in
§ 412.23(b) that refers IRFs to the
requirements they must meet in § 412.29
only so that we do not disturb the
ordering of the rest of § 412.23 that
contain the Medicare regulations for
inpatient psychiatric facilities,
children’s hospitals, and long-term care
hospitals. Specifically, we are moving
all of the text in § 412.23(b) to § 412.29
except for a new paragraph that refers to
the requirements in § 412.29, which
would read as follows: ‘‘(b)
Rehabilitation hospitals. A
rehabilitation hospital must meet the
requirements specified in § 412.29 to be
excluded from the prospective payment
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systems specified in § 412.1(a)(1) and to
be paid under the prospective payment
system specified in § 412.1(a)(3) and in
subpart P of this part.’’
B. Revisions to the Regulations at
Proposed § 412.29
As described in section IX.A. of this
final rule, we are replacing the text that
was located at § 412.23(b) with text that
simply refers the reader to the
requirements in § 412.29, and moving
the rest of § 412.23(b) and all of § 412.30
to § 412.29. To eliminate any
unnecessary repetition, and to update
and clarify the regulations, we are also
making revisions to the language from
all three of the prior sections,
§ 412.23(b), § 412.29, and § 412.30. As
stated in the prior § 412.30, a
rehabilitation unit can only be
considered ‘‘new’’ if the hospital has
never had a rehabilitation unit before.
We have encountered circumstances in
which a hospital closed a rehabilitation
unit over 20 years ago and is now
seeking to re-open the rehabilitation
unit, and we believe that it would be
reasonable to consider the rehabilitation
unit to be ‘‘new.’’ Thus, we are revising
the requirements for an IRF to be
considered ‘‘new’’ to indicate that an
IRF can be considered ‘‘new’’ if it has
not been paid under the IRF PPS in 42
CFR part 412, subpart P for at least 5
calendar years. These requirements will
now apply equally to both rehabilitation
hospitals and rehabilitation units of
acute care hospitals (or CAHs), and will
be located in § 412.29(c)(1). We believe
that 5 calendar years will allow a
sufficient amount of time between an
IRF closing and an IRF reopening to
prevent IRFs from closing and
reopening annually to avoid meeting
certain requirements, while allowing
IRFs more flexibility to meet changing
demand for IRF services.
In addition, we clarify and simplify
the rules regarding change of ownership
(including mergers) or leasing, as
defined in § 489.18. Changes of
ownership or leasing, as defined in
§ 489.18, and mergers in which the new
owner(s) accept assignment of the
previous owner’s provider agreements
are transfers of the provider agreement.
Therefore, IRFs in these situations will
retain their excluded status and will
continue to be paid under the IRF PPS
before and after the change, as long as
the IRF continues to meet all of the
requirements specified in § 412.29.
However, we clarify that a change of
ownership (including merger) or leasing
in which the new owner(s) do not
accept assignment of the previous
owner’s provider agreement would be
considered a voluntary termination of
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the provider agreement, and the new
owner(s) will need to reapply to the
Medicare program as an initial applicant
to operate a new IRF. In the case of
changes of ownership (including
mergers) or leasing, the new owner(s)
will not be required to wait for 5
calendar years to reapply to operate a
new IRF, but will be required to
complete the initial hospital or critical
access hospital certification process to
participate in Medicare as a new IRF.
Further, we revise the regulations
regarding new IRF beds. The regulations
formerly in § 412.30(d), which required
an IRF to obtain ‘‘approval, under State
licensure and Medicare certification, for
an increase in its hospital bed capacity
that is greater than 50 percent of the
number of beds it seeks to add to the
unit,’’ have become less and less
relevant under a prospective payment
system in which payments are no longer
based on IRFs’ reported costs. Thus, we
eliminate these requirements and,
instead, state in § 412.29(c)(2) that IRF
beds would be considered ‘‘new’’ if they
meet all applicable State Certificate of
Need and State licensure laws and if
they get written approval from the
appropriate CMS regional office (RO), as
described below. New IRF beds can be
added one time at any point during a
cost reporting period (instead of at the
start of a cost reporting period), but we
require that a full 12-month cost
reporting period elapse before an IRF
that has had beds delicensed or
decertified can add new beds. The
reason for this requirement is to prevent
IRFs from decreasing and increasing bed
size every year to avoid having to meet
certain requirements. We require the
IRF to obtain written approval from the
appropriate CMS RO for the addition of
the new beds in order to allow the CMS
RO to verify that a full 12-month cost
reporting period has elapsed before an
IRF that has had beds delicensed or
decertified can add new beds.
C. Revisions to the Requirements for
Changes in Bed Size and Square
Footage
Prior to the IRF PPS and the IPF PPS,
excluded units (IRFs and IPFs) were
paid based on their costs, as reported on
their Medicare cost reports, subject to
certain facility-specific cost limits.
These cost-based payments were
determined separately for operating and
capital costs. Thus, under cost-based
payments, the facilities’ capital costs
were determined, in part, by their bed
size and square footage. Changes in the
bed size and square footage would
complicate the facilities’ capital cost
allocation. Thus, the Medicare
regulations at § 412.25 limited the
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situations under which an IRF or IPF
could change its bed size and square
footage.
Under the IRF PPS and IPF PPS,
however, a facility’s bed size and square
footage is not relevant for determining
the individual facility’s Medicare
payment. Thus, we believe it is
appropriate to modify some of the
restrictions on a facility’s ability to
change its bed size and square footage.
We are therefore relaxing the
restrictions on a facility’s ability to
increase its bed size and square footage.
Under the revised requirements we are
adopting in this final rule in § 412.25(b),
an IRF or IPF can change (either
increase or decrease) its bed size or
square footage one time at any point in
a given cost reporting period as long as
it notifies the CMS RO at least 30 days
before the date of the proposed change,
and maintains the information needed
to accurately determine costs that are
attributable to the excluded units. As we
have in prior years, we also include an
exception to these requirements for
special circumstances. We note that any
IRF beds that are added to an existing
IRF during the IRF’s cost reporting
period will only be considered new
through the end of that cost reporting
period. Further, the new IRF beds will
be included in the IRF’s compliance
review calculations under the 60
percent rule specified in § 412.29(b)
beginning on the date that they are first
added to the IRF.
D. Revisions To Enhance Consistency
Between the IRF Coverage and Payment
Requirements
In the FY 2010 IRF PPS final rule (74
FR 39762 at 39788 through 39798), we
implemented new IRF coverage
requirements in § 412.622(a)(3),(4), and
(5). These new IRF coverage
requirements replaced coverage
requirements that were 25 years old and
no longer reflected current medical
practice. In updating these coverage
requirements, we added further
specificity to some of the terms that had
been discussed in the old coverage
requirements. For example, we more
clearly defined in the new IRF coverage
requirements what we mean by an IRF
preadmission screening, care planning,
and close medical supervision. In the
revisions to § 412.23(b) and § 412.29, we
enhance the consistency between the
IRF coverage and payment requirements
by incorporating some of the added
specificity from the coverage
requirements into the same
requirements for payment. Specifically,
we clarify that, as in the IRF coverage
requirements, IRF preadmission
screenings must be reviewed and
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approved by a rehabilitation physician
prior to each prospective patient’s
admission to an IRF. As we said in the
FY 2010 IRF PPS final rule (74 FR
39791), we believe that it is important
to require that a rehabilitation physician
document the reasoning behind the
decision to admit a patient to an IRF, to
enable medical reviewers to understand
the rationale for the decision.
Further, we clarify, as we did in the
coverage requirements at
§ 412.622(a)(3)(iv), that close medical
supervision in an IRF means that the
patient receives at least 3 face-to-face
visits per week by a licensed physician
with specialized training and
experience in inpatient rehabilitation 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.
As we stated in the FY 2010 IRF PPS
final rule (74 FR 39796), we believe that
at least 3 face-to-face rehabilitation
physician visits per week are necessary
to coordinate the patient’s medical
needs with his or her functional
rehabilitation needs while in the
facility.
We received 12 comments on the
proposed updates to the policies in 42
CFR part 412, which are summarized
below.
Comment: Several commenters
requested that CMS not make the
proposed changes to the regulation text
in 42 CFR 412.29(d) and (e). Although
one commenter agreed with the
proposed changes to the regulation text
to align portions of the IRF coverage
requirements with the corresponding
portions of the IRF classification
requirements, the rest of the
commenters on these provisions
expressed concerns. The concerns
expressed were primarily that the
proposed changes could blur the
distinctions between the IRF coverage
and the IRF classification requirements,
and could potentially lead to
inappropriate revocations of an IRF’s
classification for payment under the IRF
PPS based on only a single claim denial
(or a small number of claims denials).
The commenters suggested that CMS
restate its previous position that the
failure of an IRF to meet the IRF
coverage requirements for one
individual case should not be used to
declassify an IRF for payment under the
IRF PPS. Some of these commenters also
asked for further explanation of how
these proposed changes would reduce
costs for IRFs and for the government.
Response: We agree with the
commenters that, as we have stated
previously, failure to meet the IRF
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coverage requirements in one individual
case should not be used to decertify an
entire facility for payment under the IRF
PPS. However, the intent of the
proposed revisions is to make the 2 sets
of requirements consistent with each
other to eliminate any potential for
confusion or ambiguity. We believe that
we would be remiss in not making it
clear that, in the IRF context, we require
the preadmission screening
documentation to be reviewed and
approved by a rehabilitation physician
prior to the IRF admission. Under the
IRF coverage requirements, this is
required for all IRF admissions, so it
also must be built into the preadmission
screening procedures that all IRFs must
have in place. Similarly, we believe that
we would be remiss in not clarifying
that, in the IRF context, we define close
medical supervision to mean at least 3
face-to-face visits per week by a
rehabilitation physician to assess the
patient both medically and functionally.
We established this definition for the
IRF coverage requirements in the FY
2010 IRF PPS final rule (74 FR 39762 at
39795 through 39796), and we simply
proposed to clarify in § 412.29(e) that
the term means the same thing in the
IRF classification requirements that it
means in the IRF coverage requirements.
Reinforcing the identical concepts
(and, in most cases, the identical
wording) from the IRF coverage criteria
to the IRF classification criteria can only
serve to clarify exactly what we mean,
so that there is no confusion or
ambiguity. In our opinion, this aligns
with our stated goals in the FY 2012 IRF
PPS proposed rule (76 FR 24214 at
24250) of updating and simplifying the
policies, eliminating unnecessary
repetition and confusion, and enhancing
the consistency between the IRF
classification and the IRF coverage
requirements. This particular change
does not reduce costs for IRFs or for the
government, but does promote clarity
and consistency among Medicare’s
regulations.
As we do not intend for an IRF to be
declassified for the purposes of
receiving payment under the IRF PPS
based on a small number of IRF claims
denials, we agree with some of the
commenters who suggested revisions to
the language to focus the requirements
on whether the IRFs have the correct
processes in place to meet the
requirements, rather than on whether
the IRFs meet the requirements in each
individual case. We agree that failure to
meet the IRF coverage requirements in
one individual case is not a reason to
declassify an entire IRF from receiving
payment under the IRF PPS. Thus, we
are adopting slight revisions to the
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regulation text, suggested by
commenters, that we believe will clarify
that an IRF cannot be declassified as an
IRF for failing to meet the coverage
criteria in just one or two cases. The
revised regulation text is included in the
‘‘Regulation Text’’ section of this final
rule.
Even though we believe that an IRF
should not lose its IRF classification
because one individual case (or even a
small number of cases) fails to meet the
IRF coverage requirements, we note that
we do believe that it is reasonable to
conclude that an IRF’s preadmission
screening procedure is not adequate if a
large percentage of the IRF’s claims are
denied because the preadmission
screening information was not reviewed
and approved by a rehabilitation
physician prior to the IRF admission.
Similarly, we believe that it is
reasonable to conclude that an IRF’s
procedure for ensuring that patients
receive close medical supervision is not
adequate if a large proportion of the
IRF’s claims are denied because the
patients were not seen and assessed by
a rehabilitation physician at least 3
times per week.
Comment: Several commenters
requested that CMS change the
regulations to treat the acquisition of an
IRF unit the same as the acquisition of
a freestanding IRF hospital.
Response: We appreciate the
commenters’ suggestion and will
carefully consider this for the future.
However, we believe that this
suggestion is outside the scope of the FY
2012 IRF PPS proposed rule (76 FR
24214) because it involves the issue of
whether an entity can purchase a
hospital’s payment status under
Medicare. While an entity can purchase
physical assets, Medicare payment
status is assigned to a particular
provider based on a review of the
provider’s eligibility for payment under
a particular Medicare payment system.
We do not believe that a facility’s
Medicare payment status or its provider
agreement can be bought, sold, or
transferred. If a different hospital other
than the one to which the Medicare
payment status was assigned wants to
obtain the same Medicare payment
status, it must apply and demonstrate
that it meets the requirements for
payment under the particular Medicare
payment system.
Comment: While several commenters
supported the proposed regulations
regarding ‘‘new’’ IRFs, changes of
ownership, and mergers, some of these
commenters requested that CMS specify
that certain ‘‘internal corporate
restructuring transactions’’ not
involving external entities are not
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changes of ownership. For example,
these commenters said that they do not
believe that the purchase of a hospital
by another hospital, where both
hospitals are owned by the same
corporate entity, should be treated as a
change of ownership for Medicare
purposes.
Response: We believe that this
suggestion is outside the scope of the FY
2012 IRF PPS proposed rule (76 FR
24214) because it involves how
Medicare defines a hospital. For
Medicare purposes, hospitals are
separate entities if they have separate
Medicare provider agreements,
regardless of whether they might both
be owned by the same corporate entity.
If one hospital with a Medicare provider
agreement purchases another hospital
with a Medicare provider agreement,
regardless of whether the hospitals are
owned by the same corporate entity or
not, Medicare would consider this a
change of ownership, which would be
governed by the new regulations in 42
CFR 412.29(c)(3) discussed in the
‘‘Regulation Text’’ section of this final
rule. Similarly, if hospitals with
separate Medicare provider agreements
merge their operations, regardless of
whether they are owned by the same
corporate entity or not, then the new
regulations regarding mergers in 42 CFR
412.29(c)(4) discussed in the
‘‘Regulation Text’’ section of this final
rule would apply.
Comment: Several commenters agreed
with the proposed changes to
§ 412.25(b) to allow expansions of bed
size or square footage at any time during
a cost reporting period. However, some
commenters suggested that CMS should
allow new IRF units or new IPF units to
open and begin being paid under their
respective IRF PPS or IPF PPS at any
time during a cost reporting period,
rather than requiring that they could
only begin being paid under the IRF PPS
or the IPF PPS at the start of a cost
reporting period.
Response: We appreciate the
commenters’ suggestion that we relax
the requirement that IRF and IPF units
can only begin being paid under their
respective IRF PPS or IPF PPS at the
start of a cost reporting period.
However, we believe that this
suggestion is outside the scope of the FY
2012 IRF PPS proposed rule (76 FR
24214) because we did not propose any
changes to the regulations in § 412.25(c).
However, we will consider this
suggestion for possible inclusion in
future rulemaking.
Final Decision: After carefully
considering all of the comments we
received on the proposed updates to the
policies in 42 CFR part 412, we are
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finalizing the regulation text changes as
proposed, except for the following
revisions in response to comment:
• Instead of the proposed revision to
§ 412.29(d), the paragraph will instead
read, ‘‘(d) Have in effect a preadmission
screening procedure under which each
prospective patient’s condition and
medical history are reviewed to
determine whether the patient is likely
to benefit significantly from an intensive
inpatient hospital program. This
procedure must ensure that the
preadmission screening is reviewed and
approved by a rehabilitation physician
prior to the patient’s admission to the
IRF.’’
• Instead of the proposed revision to
§ 412.29(e), the paragraph will instead
read, ‘‘(e) Have in effect a procedure to
ensure that patients receive close
medical supervision, as evidenced by at
least 3 face-to-face visits per week by a
licensed physician with specialized
training and experience in inpatient
rehabilitation 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 specific
changes to the regulations at 42 CFR
part 412 are shown in the ‘‘Regulation
Text’’ of this final rule.
X. Quality Reporting Program for IRFs
A. Background and Statutory Authority
CMS seeks to promote higher quality
and more efficient health care for
Medicare beneficiaries. Our efforts are,
in part, effectuated by quality reporting
programs coupled with the public
reporting of data collected under those
programs. The quality reporting
programs exist for various settings such
as hospital inpatient services (the
Hospital Inpatient Quality Reporting
(Hospital IQR) Program), hospital
outpatient services (the Hospital
Outpatient Quality Reporting (Hospital
OQR) Program), and physicians and
other eligible professionals (the
Physician Quality Reporting System
(formerly called the Physician Quality
Reporting Initiative, or PQRI)). We have
also implemented quality reporting
programs for home health agencies and
skilled nursing facilities that are based
on conditions of participation, and an
end-stage renal disease quality incentive
program (ESRD QIP) that links payment
to performance.
Section 3004(b) of the Affordable Care
Act added section 1886(j)(7) to the Act,
which requires the Secretary to
implement a quality reporting program
for IRFs, including freestanding IRF
hospitals and IRF units within
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hospitals. Beginning in FY 2014, section
1886(j)(7)(A)(i) of the Act requires the
Secretary to reduce the increase factor to
a fiscal year by 2 percentage points for
any IRFs that do not submit data to the
Secretary in accordance with
requirements established by the
Secretary for that fiscal year. Section
1886(j)(7)(A)(ii) of the Act notes that
this reduction may result in the increase
factor being less than 0.0 for a fiscal
year, and in payment rates under this
subsection for a fiscal year being less
than the payment rates for the preceding
fiscal year. Any reduction based on
failure to comply with the reporting
requirements is, in accordance with
section 1886(j)(7)(B) of the Act, limited
to the particular fiscal year involved.
The reductions are not to be cumulative
and will not be taken into account in
computing the payment amount under
subsection (j) for a subsequent fiscal
year.
Section 1886(j)(7)(C) of the Act
requires that each IRF submit data to the
Secretary on quality measures specified
by the Secretary. The data must be
submitted in a form and manner, and at
a time, specified by the Secretary. The
Secretary is generally required to
specify measures that have been
endorsed by the entity with a contract
under section 1890(a) of the Act. This
contract is currently held by the
National Quality Forum (NQF). The
NQF is a voluntary consensus standardsetting organization with a diverse
representation of consumer, purchaser,
provider, academic, clinical, and other
health care stakeholder organizations.
The NQF was established to standardize
health care quality measurement and
reporting through its consensus
development process. We have
generally adopted NQF-endorsed
measures in our reporting programs.
However, section 1886(j)(7)(D)(ii)of the
Act provides that ‘‘in the case of a
specified area or medical topic
determined appropriate by the Secretary
for which a feasible and practical
measure has not been endorsed by the
entity with a contract under section
1890(a) of the Act, the Secretary may
specify a measure that is not so
endorsed as long as due consideration is
given to measures that have been
endorsed or adopted by a consensusbased organization identified by the
Secretary.’’ Under section
1886(j)(7)(D)(iii) of the Act, the
Secretary must publish the selected
measures that will be applicable to FY
2014 no later than October 1, 2012.
Section 1886(j)(7)(E) of the Act
requires the Secretary to establish
procedures for making data submitted
under the IRF quality reporting program
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available to the public. The Secretary
must ensure that an IRF is given the
opportunity to review the data that is to
be made public prior to the data being
made public. The Secretary must report
quality measures that relate to services
furnished in inpatient settings in
rehabilitation facilities on the CMS Web
site.
B. Quality Measures for IRF Quality
Reporting Program for FY 2014
1. General
As described below, we adopt 2
quality measures for FY 2014. These
quality measures are: (1) Urinary
Catheter-Associated Urinary Tract
Infections (CAUTI); and (2) Pressure
Ulcers that are New or Have Worsened.
We also discuss below a third measure
that we are currently developing and
intend to propose to adopt for FY 2014
in future rulemaking. That measure will
be the 30-day Comprehensive All-Cause
Risk-Standardized Readmission
Measure.
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2. Considerations in the Selection of the
Proposed Quality Measures
In implementing the IRF Quality
Reporting Program, we seek to collect
data on measures that will provide
information on the full spectrum of the
quality of care being furnished by IRFs
while imposing as little burden as
possible on IRFs. We seek to collect data
on valid, reliable, and relevant quality
measures and to make that data
available to the public in accordance
with applicable law.
We also seek to align new Affordable
Care Act reporting requirements for IRFs
with HHS’ broader goals of targeting
high priority conditions and topics, as
reflected in the National Quality
Strategy released by the Secretary
available at (https://www.healthcare.gov/
center/reports/
quality03212011a.html#es) and,
ultimately, to provide a comprehensive
assessment of the quality of healthcare
delivered. We note that adopting a
comprehensive set of measures may take
multiple years because of the time,
effort and resources required by IRFs
and CMS to develop and implement the
data collection and reporting
infrastructure needed to support an
expanded quality reporting program.
Current areas of high priority for HHS
include patient safety, healthcare
associated infections, and reduction of
avoidable readmissions. These priorities
are consistent with the aim of providing
safe, sound care for all patients
receiving services in any healthcare
setting including IRFs.
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In our consideration and selection of
a comprehensive set of quality
measures, we have several objectives.
First, the measures should align with
CMS’ three-part aim for better care for
individuals, better health for
populations, and lower cost through
improvement. Second, the measures
should relate to specific priorities in the
care setting for which they are adopted.
For IRFs, these include improving
patient safety (such as avoiding
healthcare associated infections (HAI)),
reducing adverse events, and
encouraging better coordination of care
and person-and-family-centered care.
Third, the measures should address
improved quality for the primary role of
IRFs, which is to address the
rehabilitation needs of the individual
including improved functional status
and achievement of successful return to
the community post-discharge.
Other considerations in selecting
quality measures include alignment
with other Medicare quality reporting
programs and other private sector
initiatives; suggestions and input
received from multiple stakeholders and
national subject matter experts; seeking
measures that have a low probability of
causing unintended adverse
consequences; and considering
measures that are feasible, that is,
measures that can be technically
implemented within the capacity of the
CMS infrastructure for data collection,
analyses, and calculation of reporting
and performance rates as applicable.
3. FY 2014 Measure #1: Healthcare
Associated Infection Measure (HAI):
Urinary Catheter-Associated Urinary
Tract Infections (CAUTI)
The first measure we proposed for
purposes of calculating the FY 2014
Increase Factor for IRFs is an
application of the NQF-endorsed
measure developed by the Centers for
Disease Control (CDC) for hospitals
entitled (NQF# 0138)’’Urinary CatheterAssociated Urinary Tract Infection
(CAUTI) for Intensive Care Unit
Patients’’ to the IRF setting. This
measure was developed by the CDC to
measure the percentage of patients with
urinary catheter associated urinary tract
infections in the ICU context. We
believe that this measure is highly
relevant to IRFs in that urinary catheters
are commonly used in the IRF setting.
Section 1886(j)(7)(D)(ii) of the Act
provides that ‘‘in the case of a specified
area or medical topic determined
appropriate by the Secretary for which
a feasible and practical measure has not
been endorsed by the entity with a
contract under section 1890(a) of the
Act, the Secretary may specify a
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measure that is not so endorsed as long
as due consideration is given to
measures that have been endorsed or
adopted by a consensus-based
organization identified by the
Secretary.’’ We reviewed the NQF’s
consensus endorsed measures, and were
unable to identify any NQF-endorsed
measures for catheter-associated urinary
tract infections for the IRF setting. We
are unaware of any other measures of
urinary tract infections that have been
approved by voluntary consensus
standards bodies. Having given due
consideration to other measures that
have been endorsed or adopted by a
consensus entity, we proposed to adopt
an application of the NQF-endorsed
CAUTI measure under the Secretary’s
authority to select non-NQF endorsed
measures where NQF-endorsed
measures do not exist for a specified
area or medical topic. While we
proposed to adopt the measure under
the exception authority provided in
section 1886(j)(7)(D)(ii) of the Act, we
noted that we intended to seek formal
extension of the existing CAUTI
measure to the IRF setting.1
Urinary tract infections (UTIs) are a
common cause of morbidity and
mortality. The urinary tract is the most
common site of healthcare-associated
infection, accounting for more than 30
percent of infections reported by acute
care hospitals 2. Healthcare-associated
UTIs are commonly attributed to
catheterization of the urinary tract.
CAUTI can lead to complications
such as cystitis, pyelonephritis, gramnegative bacteremia, prostatitis,
epididymitis, and orchitis in males and,
less commonly, endocarditis, vertebral
osteomyelitis, septic arthritis,
endophthalmitis, and meningitis in all
patients. Complications associated with
CAUTI include discomfort to the
patient, prolonged hospital stay, and
increased cost and mortality. Each year,
more than 13,000 deaths are associated
with UTIs 3. Prevention of CAUTIs is
discussed in the CDC/HICPAC
document, Guideline for Prevention of
Catheter-associated Urinary Tract
Infections4. The NQF-endorsed CAUTI
1 We inadvertently said in the FY 2012 IRF PPS
proposed rule (76 FR 24214) that we (CMS) would
ask NQF to formally extend its endorsement of the
existing CAUTI measure to the IRF setting. We
should have stated that we would ask CDC, as the
measure steward, to ask NQF to formally extend its
endorsement of the existing CAUTI measure to the
IRF setting.
2 Klevens RM, Edward JR, et al. Estimating health
care-associated infections and deaths in U.S.
hospitals, 2002. Public Health Reports
2007;122:160–166.
3 Ibid.
4 Wong ES. Guideline for prevention of catheterassociated urinary tract infections. Infect Control
1981;2:126–30.
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measure we proposed is currently
collected by the CDC’s National
Healthcare Safety Network (NHSN), a
secure Internet-based health
surveillance system, and we note that
the CDC is also collecting data on this
measure from IRFs. NHSN is currently
used, in part, as one means by which
certain State-mandated reporting and
surveillance data are collected.
The HHS National Action Plan to
Prevent HAIs located at (https://www.
hhs.gov/ash/initiatives/hai/actionplan/
index.html) identified catheterassociated urinary tract infections as the
leading type of HAI that is largely
preventable. The technical expert panel
(TEP) convened by the CMS measuredeveloper-contractor on February 4,
2011 (https://www.cms.gov/LTCH-IRFHospice-Quality-Reporting/) also
identified CAUTI as a high priority
quality issue for IRFs.
We received 23 public comments on
the Urinary Catheter-Associated Urinary
Tract Infections (CAUTI) quality
measure, which are summarized below.
Comment: Several commenters
generally acknowledged CAUTI as an
important safety and quality issue
across care settings. However, several
commenters expressed concern with the
applicability of this measure to the IRF
setting. They stated that the relatively
small number of new UTIs in IRFs may
reflect that the indicator is not the best
choice as a quality indicator in the IRF
setting.
Response: Although patients with
CAUTI in the IRF setting may be a
minority, we believe that the CAUTI
measure is an important indicator of
quality in IRF settings and that
promoting safe care in all settings is an
important goal for quality reporting
programs. Additionally, it is important
to note that the HHS National Action
Plan to Prevent HAIs located at (https://
www.hhs.gov/ash/initiatives/hai/
actionplan/) indicated that
catheter-associated urinary tract
infections are a leading type of HAI that
is largely preventable. Also, the
technical expert panel that was
convened by the CMS contractor that
was tasked with assisting with the
development of measures identified
CAUTI as a high priority issue for IRFs.
Comment: One commenter
specifically supported the adoption of
CAUTI reporting in the IRF context
through the National Healthcare Safety
Network (NHSN). They noted that
hospitals in their State, including IRFs,
have been required by State law-based
reporting requirements to use NHSN to
report all health care-associated
infections since February 2008. The
commenter also stated that, based on the
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health care-associated infection data
collected and analyzed in that State,
urinary tract infection is the most
prevalent type of infection reported in
that State’s IRFs.
Response: We appreciate the
commenter’s observation that UTIs are
both the most prevalent and preventable
form of infection in the IRF setting, and
believe that CAUTI is an important
quality measure to adopt for the IRF
quality reporting program.
Comment: One commenter stated that
CAUTI is a much less relevant marker
of quality in IRFs with short lengths of
stay, where catheters come out almost
immediately. The commenter
additionally stated that it is sometimes
difficult to find supporting
documentation of catheter use within
transfer documents. The commenter
also stated that lack of documentation
could lead to additional testing of
patients on admission, resulting in
increased time burden and cost to IRFs.
Response: We acknowledge the
challenges providers may initially
encounter in finding supporting
documentation in transfer documents of
catheter use. However, we believe that
implementation of this requirement will
encourage better documentation of
catheter use over time. The CDC
provides educational and outreach
materials to help promote
communication of such information.
Additionally, we believe such
information may be provided by other
sources, such as the patient. Finally, the
specifications for the measure, which
are available at https://
www.cdc.gov.nhsn/forms/instr/
57_114.pdf, do not require all patients
to be tested on admission. We agree
with this approach because clinical
experts generally agree that
identification of CAUTI rests upon a
constellation of patient symptoms, as
well as on the results of clinical and
laboratory data. Quality care in IRFs
requires close medical monitoring of all
patients, and we believe that such
monitoring will appropriately identify
the subset of IRF patients who are most
at risk for CAUTI and therefore should
be tested.
Comment: Some commenters
expressed concern that the CAUTI
measure was originally created for use
in the inpatient ICU setting and
questioned the use of a measure that
was not specifically endorsed for the
IRF setting. In contrast, another
commenter noted that, although the
CAUTI measure was originally created
for use in the inpatient ICU setting, its
use is also well established in other
inpatient settings. Moreover, they
asserted that this measure is an
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appropriate measure for the IRF setting.
The commenter also said that they were
pleased to see that only indwelling
catheters are included for this measure,
versus ‘‘straight in-and-out’’
(intermittent) catheters which are
frequently used by spinal cord injury
patients who often require extensive IRF
services.
Response: We acknowledge that the
CAUTI measure, for which CDC is the
measure steward, is currently endorsed
by NQF for ICUs, and not specifically
endorsed for the IRF setting. However,
given the importance and preventability
of CAUTIs in all settings including IRFs,
we proposed to adopt an application of
the NQF-endorsed measure under the
Secretary’s authority to select non-NQF
endorsed measures where measures do
not exist for a specified area or medical
topic. We also noted that we would seek
NQF endorsement of the measure for
application in the IRF setting.
Comment: One commenter urged
CMS to refine the CAUTI measure for
specific use in IRFs. Additionally this
commenter cited the potential need for
testing the measure in IRFs and agreed
with several other commenters, who
recommended delaying reporting
CAUTI until CMS obtains NQF
endorsement of this measure
specifically for the IRF setting.
Response: CAUTI has been well tested
in the ICU setting, and we see no reason
why the IRF setting would produce
different results since presence or
absence of CAUTI is not dependent
upon setting type, but rather clinical
findings, signs, and symptoms.
As stated above, we proposed to adopt
the measure under the exception
authority provided in section
1886(j)(7)(D)(ii) of the Act, and we note
that the quality measure steward, the
CDC, is seeking NQF’s expansion of its
endorsement of the CAUTI measure to
IRFs.
Comment: Several commenters
expressed concern with potential
erroneous attribution of infections that
may have resulted from catheter use in
a previous setting. However, one
commenter expressed support for the
CAUTI measure’s ‘‘transfer rule
exception,’’ defined as transfers within
an inpatient facility or transfers to a new
facility, which may alleviate some of the
perceived issues with attribution.
Response: We thank the commenters
for their remarks and we acknowledge
their concerns. As the commenter noted,
the CAUTI measure’s ‘‘transfer rule
exception’’ excludes patients with
CAUTI present on admission (POA) or
who develop CAUTI within 48 hours of
transfer to the IRF setting. Such CAUTIs
are attributed to the transferring
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location, rather than the admitting
location. We believe that this
appropriately addresses the potential
risk of erroneous attribution for
transferred patients. Additional
information on the ‘‘Transfer Rule’’ can
be found at https://www.cdc.gov/nhsn/
PDFs/slides/CAUTI.pdf.
Comment: Several commenters also
expressed their concern with the lack of
a ‘‘present on admission’’ (POA)
indicator, and stated that the absence of
a POA indicator may result in incorrect
tallies. Additionally, one commenter
recommended that CMS pursue
development of a timeline and
implementation plan for a POA
indicator for CAUTI prior to finalizing
the proposed IRF measures.
Response: We do not believe that the
absence of a POA indicator will lead to
erroneous tabulation of UTIs. The
‘‘transfer rule’’ that is discussed in the
NHSN patient safety module clearly
indicates that, ‘‘If the UTI develops in
a patient within 48 hours of discharge
from a location, indicate the discharging
location on the infection report, not the
current location of the patient.’’ We
believe that this guidance allows IRFs to
accurately tabulate the number of
CAUTIs that develop in the IRF, even
without a POA indicator for this
measure. However, we will consider
working with the CDC to determine
whether the application of a claimsbased POA indicator in addition to
implementation of the ‘‘transfer rule’’
would be useful. If our work with the
CDC finds that this would potentially be
useful, we will consider this for future
rulemaking.
Comment: One commenter
recommended that health careassociated infection rates and
standardized infection rates for IRFs be
evaluated separately from any data
reported by general acute care hospitals
and long term care hospitals.
Response: We appreciate the
commenter’s concern that health careassociated infection rates and
standardized infection rates for IRFs be
evaluated separately from any data
reported by general acute care hospitals
and long term care hospitals. As the IRF
quality reporting program is separate
from these other quality reporting
programs, we do plan to evaluate
CAUTI data reported by IRFs separately
from CAUTI data reported by hospitals
and long term care hospitals.
Comment: Several commenters
strongly urged CMS to share how it
plans to perform HAI data validation
since this was not addressed in the
proposed rule.
Response: As we agree that data
validation is important, we do plan to
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perform HAI data validation prior to the
public reporting of any HAI data, and
are actively working with the CDC
regarding their data validation process.
As part of this process, we are sharing
the public comments that we received
on this issue with the CDC. We will
continue to work with the CDC to
develop an HAI data validation strategy,
and will address that aspect of the
quality reporting program in future
rulemaking.
Comment: Several commenters
highlighted the need to risk adjust the
CAUTI measure. They also stated that
certain patients, such as those with
spinal cord injury or neurogenic
bladder, were at much higher risk of
developing CAUTI than other lower risk
patients. Furthermore, several
commenters expressed concern that the
lack of risk adjustment could possibly
lead to unintended consequences such
as reduced access to IRFs for higher risk
patients. One commenter also
recommended the adoption of the CDC
definition of symptomatic UTI.
Response: We recognize that risk
adjustment is an important
consideration for outcome quality
measures, and that certain patients may
have higher risks for complications such
as UTIs. The CAUTI measure
specifications use facility type
(including IRF) and location type
information (including an identifier of
whether the facility is a freestanding
hospital or a unit of a hospital) for risk
adjustment, and these data are captured
in the NHSN reporting system. As we
take the appropriate access to care in
IRFs very seriously, we intend to
monitor closely whether the quality
reporting program has any unintended
consequences on access to care for
higher risk patients. Should we find
any, we will take appropriate steps to
address these issues in future
rulemaking. Also, we agree with the
commenter’s suggestion that we adopt
the CDC definition of symptomatic UTI,
and are planning to adopt this definition
in future rulemaking.
Final Decision: Having carefully
considered the comments received, we
adopt as final an application of the
NQF-endorsed measure that was
developed by the CDC for ICUs entitled
(NQF #0138) ‘‘Catheter-Associated
Urinary Tract Infection [CAUTI] for
Intensive Care Unit Patients’’ for the IRF
setting.
4. FY 2014 Measure #2: Percent of
Patients With Pressure Ulcers That Are
New or Worsened
The second measure we proposed for
IRFs for purposes of calculating the FY
2014 increase factor is an application of
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a CMS-developed NQF-endorsed
measure for short-stay nursing home
patients; (NQF #0678, formerly assigned
as NQF #NH–012–10) ‘‘Percent of
Residents with Pressure Ulcers that Are
New or Worsened.’’ This is the
percentage of patients who have one or
more stage 2 to 4 pressure ulcers that are
new or worsened, when assessed at the
time of discharge as compared with the
patient’s condition at admission. We
recognized that NQF endorsement of
this measure is currently limited to
short-stay nursing home patients in the
proposed rule, but we noted our belief
that this measure is also highly relevant
to patients in any setting who are at risk
of pressure ulcer development and a
high priority quality issue in the care of
IRF patients. Currently, there are no
other NQF-endorsed pressure ulcer
measures that are applicable to IRFs and
we were unable to identify other
measures for pressure ulcers that have
been endorsed or adopted for the IRF
context by a consensus organization. We
were also unaware of any other
measures of pressure ulcers that had
been approved by voluntary consensus
standards bodies. For these reasons, we
proposed to adopt an application of this
NQF-endorsed measure under the
Secretary’s authority to select non-NQF
endorsed measures where measures do
not exist for a specified area or medical
topic. We also stated that we intend to
ask NQF to extend its endorsement of
the existing short-stay nursing home
pressure ulcer measure to the IRF
setting.
Pressure ulcers are high-volume and
high-cost adverse events across the
spectrum of health care settings from
acute hospitals to home health. Patients
in the IRF setting may have medically
complex conditions and severe
functional limitations, and are therefore
at high risk for the development, or
worsening, of pressure ulcers. Pressure
ulcers are serious medical conditions
and an important measure of quality.
Pressure ulcers can lead to serious, lifethreatening infections, which
substantially increase the total cost of
care. As reported in the August 22,
2007, Inpatient Hospital PPS Final Rule
for FY 2008 (72 FR 47205) in 2006 there
were 322,946 reported cases of Medicare
patients with a pressure ulcer as a
secondary diagnosis in acute care
hospitals.
We received 26 comments on the
Percent of Patients with Pressure Ulcers
that are New or Worsening quality
measure, which are summarized below.
Comment: A few commenters
expressed concerns about whether
pressure ulcers are really relevant to the
IRF setting, citing the small number of
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IRF patients that develop a new or
worsening pressure ulcer. They stated
that more relevant measures were those
focusing on the output of the
rehabilitative process, such as change in
function or discharge to community.
Response: We agree that functional
restoration and return to community are
also key aims for IRFs and central to
patient-centered care. We plan to add
such measures through future
rulemaking, as the measures are further
developed.
However, we believe that the percent
of patients with new or worsening
pressure ulcers is an important indicator
of quality in the IRF setting. Even if the
proportion of patients in IRFs with new
or worsening pressure ulcers is small,
any such cases are particularly troubling
given the requirement that IRF patients
receive an intensive rehabilitation
therapy program throughout their IRF
stay, which would tend to require
patients to be out-of-bed and active
throughout their stay.
Comment: Some commenters
expressed concern over the ambiguity of
the definition of ‘‘worsening’’ pressure
ulcers and requested clarification of the
definition. Some commenters cited the
difficulty in accurately differentiating
between worsening pressure ulcers and
pressure ulcers that are changing as part
of the healing process. Several
commenters suggested that ‘‘worsening’’
be removed from the description and
CMS base the quality measure solely on
the appearance of ‘‘new’’ pressure
ulcers. Some commenters questioned
why unstageable pressure ulcers and
suspected deep tissue injuries were not
included in the measure.
Response: The new or worsening
pressure ulcer measure is based on
changes in skin integrity between the
admission and discharge assessments.
Pressure ulcer ‘‘worsening’’ is defined
in the measure specifications as a
pressure ulcer that has progressed to a
deeper level of tissue damage and is
therefore staged at a higher number
using a numerical scale of 1 through 4
(using the staging assessment
determinations assigned to each stage;
starting at the stage 1, and increasing in
severity to stage 4) on the discharge
assessment as compared to the
admission assessment.
The National Pressure Ulcer Advisory
Panel (NPUAP) has specific, wellestablished clinical criteria for
determining the current stage of a
wound (stages I through IV). These
criteria, which are incorporated into the
measure specifications, are used by
clinicians in determining whether or not
a wound has changed stages, and
thereby worsened or improved. We
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believe that appropriate application of
these guidelines should enable
clinicians to identify pressure ulcers
that have ‘‘worsened’’. Thus, we do not
believe that the idea of ‘‘worsening’’
pressure ulcers should be removed from
the measure.
Unstageable wounds, including deep
tissue injuries, are not currently
included in this measure since the
presence of worsening cannot be
determined if they are unstageable.
Furthermore, a pressure ulcer that
presents with slough or eschar cannot
be staged, and is not considered
worsened. Only after, and if,
debridement occurs, whereby dead
tissue is removed, can the wound be
staged. If after wound debridement, the
wound is evaluated to have increased in
the stage, the wound is considered
worsened.
If the patient was admitted with a
deep tissue injury, and/or an
unstageable pressure ulcer, the deep
tissue injury and/or unstageable
pressure ulcer would be documented as
present on admission. As stated above,
if after debridement the wound is
evaluated to have increased in the stage,
the wound is considered worsened but
is considered to have been present on
admission.
Although the presence of new
pressure ulcers is an indicator of
adverse quality in IRFs, we believe that
the presence of worsening pressure
ulcers is also an important aspect of the
measure because worsening pressure
ulcers can indicate a lack of both
appropriate medical monitoring and
appropriate clinical treatment. In
addition, as noted previously, the
existence of worsening pressure ulcers
in the IRF setting is particularly
troubling given the requirement that IRF
patients receive an intensive
rehabilitation therapy program
throughout their IRF stay, which would
tend to require patients to be out-of-bed
and active throughout their stay. Thus,
we believe that it is imperative to
include both new and worsening
pressure ulcers in the measure.
Comment: Several commenters
expressed concern that the proposed
measure does not adequately address
the issue of pressure ulcers that are
present on admission. These
commenters recommended that CMS
develop a timeline and implementation
plan for a POA indicator for the
pressure ulcer measure, with
consideration of an appropriate
attribution window to avoid IRFs being
penalized for pressure ulcers that were
present on admission or acquired from
another facility prior to the IRF
admission.
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Response: The measure that we are
adopting in this final rule is the Percent
of Patients with Pressure Ulcers that are
New or Worsening between the IRF
admission assessment and the discharge
assessment. The measure accounts for
any relevant pressure ulcers that were
present on admission because it requires
IRFs to supply data on the number of
stage 2, stage 3, and stage 4 pressure
ulcers that were present on admission.
In addition, the measure asks IRFs to
report any pressure ulcers that were
present on admission. Thus, we believe
that the pressure ulcer measure that we
are adopting in this final rule already
contains sufficient present on admission
information and will not lead to
inappropriate attribution to an IRF of a
pressure ulcer that developed in another
inpatient setting.
Comment: One commenter suggested
that CMS harmonize the IRF and the
inpatient prospective payment system
(IPPS) versions of the pressure ulcer
measures so that both capture the same
range of wound staging. While the IRF
quality reporting program measure
includes wound stages 2 though 4, the
Hospital IQR Program measure only
includes stages 3 through 4.
Response: We agree that harmonizing
the measures is a good suggestion. This
will take significant development work
as the data elements, data sources, and
measure specifications differ for the IRF
and IPPS quality reporting programs.
We will take the commenter’s
suggestions into consideration for future
quality measurement development
work, which will be considered for
implementation through future
rulemaking.
Comment: One commenter suggested
that the Pressure Ulcer Scale for Healing
Tool (PUSH) tool, which provides
clinicians with a scale for assessing
wound healing or deterioration, is more
appropriate for recording wounds.
Another commenter said that they do
not recommend the PUSH tool, but
recognized its superiority to the
proposed measure in that it allows
addressing of wound healing in a
standardized manner. This commenter
also stated that if measurement of
pressure ulcers is a quality measure,
that the measure used should
incorporate the NPUAP guidelines
regarding wound healing.
Response: We recognize that the
PUSH tool is one of the instruments
sometimes used by clinicians to assess
healing or deterioration of pressure
ulcers. However, CMS developed the
New or Worsening Pressure Ulcer
measure in consultation with our
measure-developer contractor, which
further consulted with NPUAP and
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other nationally recognized subject
matter experts. Based on the input we
received from these experts, we believe
that the pressure ulcer measure that we
are requiring IRFs to report beginning
October 1, 2012 most appropriately
captures this aspect of care provided in
IRFs. In response to the commenter that
suggested that any measure of pressure
ulcers that is used in the IRF setting
should be incorporate the NPUAP
guidelines regarding wound staging, we
note that the ‘‘New or Worsening
Pressure Ulcer’’ measure that we are
adopting in this final rule does
incorporate the NPUAP guidelines
regarding wound staging.
Comment: Several commenters
objected to the proposed application of
a pressure ulcer measure that has been
NQF-endorsed for short-stay residents
in nursing homes but has not
specifically been endorsed for the IRF
setting.
Response: We are using the authority
to adopt non-NQF endorsed measures in
cases where there is not an NQFendorsed measure for a particular area
or topic. We do not believe that there
are substantive issues that would make
it inappropriate to apply the pressure
ulcer measure that has been NQFendorsed for short-stay nursing home
residents to IRFs.
Comment: One commenter suggested
that CMS include stage 1 wounds in the
pressure ulcer measure. They stated
that, if stage 1 wounds are not
adequately treated, they will progress to
more serious wounds.
Response: We agree with the
commenter about the importance of
clinicians recognizing the presence of
stage 1 wounds and adequately treating
them so that they do not progress to
more serious wounds. However, based
on the CMS contractor’s extensive
analysis of the issue, in consultation
with national subject matter experts, we
believe that the additional burden on
providers of collecting and reporting
information on stage 1 pressure ulcers
outweighs the benefits of requiring such
reporting. Thus, in an effort to minimize
the reporting burden on providers, we
have decided not to require reporting on
stage 1 pressure ulcers.
Comment: Some commenters stated
that patients treated in IRFs have a
higher level of medical complexity and
receive more intense services than
nursing home patients, highlighting the
need for CMS to risk adjust the pressure
ulcer measure.
Response: We agree that some
patients are at higher risk for pressure
ulcers than others. The pressure ulcer
measure (NQF #0678, formerly assigned
as NQF #NH–012–10) that we are
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adopting for the IRF setting already
includes a risk adjustment component.
For example, the measure accounts for
the higher risk of pressure ulcers among
patients with low body mass index
(BMI), diabetes, Peripheral Vascular
Disease, bowel incontinence, and
immobility. These clinical factors are
known to increase the risk of pressure
ulcer development for patients
regardless of their setting of care.
Comment: Several commenters
expressed support of CMS’ adoption of
the NPUAP stance that measurement of
pressure ulcers not be based on ‘‘reverse
staging’’.
Response: We appreciate the
commenters for their supportive
comments and agree that it is not
appropriate to ‘‘reverse-stage’’ pressure
ulcers because staging only refers to the
level of tissue damage. So, for example,
a stage 3 pressure ulcer with full
thickness tissue loss will always have
that amount of damage present. If that
pressure ulcer should heal and resurface
with a new epithelial layer and later
reopen, it is still a stage 3 pressure
ulcer, even if it appears to meet the
criteria for a stage 2 pressure ulcer.
Final Decision: Having carefully
considered the comments, we adopt as
final an application of the CMSdeveloped NQF-endorsed measure for
short-stay nursing home patients (NQF
#0678, formerly assigned as NQF #NH–
012–10) for the IRF setting.
5. Potential FY 2014 Measure #3:
30-Day Comprehensive All-Cause RiskStandardized Readmission Measure
In the proposed rule, we stated our
intent to propose a 30-day
comprehensive all-cause riskstandardized readmission measure
when one is developed. Addressing
avoidable hospital readmissions is a
high priority for HHS and CMS. We are
currently developing setting-specific
risk adjusted 30-day all-condition allcause risk-standardized readmission
measures for hospitals, IRFs, long term
care hospitals and nursing homes.
The main features of the measure
methodology will be consistent with
that of the NQF-endorsed CMS hospital
risk-adjusted 30-day readmission
measures for the Acute Myocardial
Infarction (AMI), Heart Failure (HF),
Pneumonia and Percutaneous Coronary
Intervention (PCI). We plan to cover the
maximum number of patient conditions
possible in the all-condition measures.
We will consult existing literature and
solicit input from national experts and
conduct analyses on the types and
comorbidities of the patients of each
setting in order to establish appropriate
risk-adjustment for the measures as well
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as appropriate specification of the
meaning/definition of readmission and
the appropriate time-window for
readmission for each care setting. To
expand beyond the condition-specific
measures to an all-condition
readmission measure for each setting,
we will conduct analyses to determine
whether it is statistically and clinically
sound to derive the all-condition
measures from one single risk
adjustment model, or if it would be
better to form a composite of multiple
models for multiple conditions. We plan
to use hierarchical logistic regression
modeling to take into account the effects
of the clustering of patients and the
sample size in the IRF setting. The IRF
readmission measure is expected to be
completed in late 2011, at which time
it will be submitted to the entity with
a contract under section 1890(a) of the
Act for endorsement.
We received 19 comments on our
intent to propose a 30-day
Comprehensive All-Cause RiskStandardized Readmission Measure for
IRFs, which are summarized below.
Comment: Several commenters stated
that risk adjustment will be an
important consideration as CMS
develops this readmission measure.
Several commenters suggested that only
preventable readmissions should be
measured, and that planned
readmissions should be excluded.
Several commenters also stated that the
causes of readmissions are complex and
that there are no solutions that could be
applied globally to reduce readmissions.
Response: We appreciate the input.
As indicated, the measure will be riskstandardized. We will take these
comments into consideration as we
further develop the measure. As part of
development, the measure developer
will provide an opportunity to the
public to comment on specific aspects
of the measure, including risk
adjustment. Although we agree that the
factors that are related to readmission
are varied, readmission rates among
Medicare beneficiaries are high, and we
believe that they can be significantly
improved through improved quality.
C. Data Submission Requirements
1. Method of Data Submission for HAI
Measure (CAUTI)
In the proposed rule, we proposed to
require that IRFs submit data on the
Catheter-Associated Urinary Tract
Infection (CAUTI) measure through the
Centers for Disease Control (CDC)/
National Healthcare Safety Network
(NHSN). As we noted above, the NHSN
is a secure, Internet-based surveillance
system maintained by the CDC that can
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be utilized by all types of healthcare
facilities in the United States, including
acute care hospitals, long term acute
care hospitals, psychiatric hospitals,
rehabilitation hospitals, outpatient
dialysis centers, ambulatory surgery
centers, and long term care facilities.
The NHSN enables healthcare facilities
to collect and use data about HAIs,
including information on clinical
practices known to prevent HAIs,
information on the incidence or
prevalence of multidrug-resistant
organisms within their organizations,
and information on other adverse
events. Some States use the NHSN as a
means of collecting State law mandated
HAI reporting. NHSN collects data via a
Web-based tool hosted by the CDC
(https://www.cdc.gov/). This reporting
service is provided free of charge to
healthcare facilities. Additionally, the
ability of the CDC to receive NHSN
measures data from electronic health
records (EHR) may be possible in the
near future. Currently, more than 20
States require hospitals to report HAIs
using NHSN, and the CDC supports
more 4,000 hospitals that are using the
NHSN.
We also proposed to require
submission of the data elements needed
to calculate the Catheter-Associated
Urinary Tract Infection measure using
the NHSN’s standard data submission
requirements. The NHSN requires
submission of data on HAI events on all
patients. Collecting data on all patients
will provide CMS with the most robust,
accurate reflection of the quality of care
delivered to Medicare beneficiaries as
compared with non-Medicare patients.
Therefore, to measure the quality of care
that is delivered to Medicare
beneficiaries in the IRF setting, we
proposed to collect quality data related
to HAI events on all patients regardless
of payor.
CDC/NHSN requirements may
include adherence to training
requirements, use of CDC measure
specifications, data element definitions,
data submission requirements and
instructions, data reporting timeframes,
as well as NHSN participation forms
and indications to CDC allowing CMS to
access data for this measure for the IRF
quality reporting program purposes.
Detailed requirements for NHSN
participation, measure specifications,
and data collection can be found at
https://www.cdc.gov/nhsn/. We proposed
to require IRFs to use the specifications
and data collection tools for the CAUTI
measure as required by CDC as of the
time that the data is submitted.
For purposes of calculating the FY
2014 increase factor we proposed to
collect data on CAUTI events that occur
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from October 1, 2012 through December
31, 2012, which we inadvertently
misidentified as the ‘‘final fiscal quarter
of calendar year 2013.’’ We should have
identified it as the final quarter of
calendar year (CY) 2012. We proposed
that all subsequent IRF quality reporting
cycles would be based on a full CY
cycle (that is January 1 through
December 31 of the applicable year). For
example, the FY 2015 payment
determinations will be made based on
CY 2013 data submitted to CDC.
We stated that further details
regarding data submission and reporting
requirements for this measure would be
posted on the CMS Web site https://
www.cms.gov/LTCH-IRF-HospiceQuality-Reporting/ no later than January
31, 2012. IRFs were also encouraged to
visit the CDC Web site https://
www.cdc.gov/nhsn/ to review the NHSN
enrollment and reporting requirements.
We received 21 comments on the
proposed submission requirements for
the CAUTI measure, which are
summarized below.
Comment: Several commenters
expressed concerns about the readiness
of the CDC’s NHSN infrastructure to
accept a greater volume of data by
adding IRF reporters.
Response: As reported to us by CDC,
the NHSN has undergone a major
architectural redesign over the last year
in response to the need to scale up to
more users, facilities and functionality.
It is our understanding that the addition
of IRF quality reporting on the NHSN
will not unduly strain the system.
Comment: Several commenters
expressed concerns with provider
burden and resources needed to enroll,
train and implement data reporting
through the CDC’s NHSN. One
commenter suggested CMS should move
to a single standardized and streamlined
quality reporting system and added that
training on multiple quality reporting
systems would be confusing and time
consuming. Another commenter
suggested that the IRF–PAI could be
modified to collect CAUTI data.
Response: We recognize that there are
initial start-up costs and time
investments to enroll and complete the
required training for reporting through
CDC’s NHSN. We have factored these
costs into the provider burden estimates
that we provided in both the FY 2012
IRF PPS proposed rule and in this final
rule. We believe that safety benefits will
result from this new quality reporting
requirement such as the ability to track
serious, and at times, life threatening
infections like CAUTI. As such, the
benefits outweigh the costs. In addition,
these costs are primarily incurred
during the initial phase of the data
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reporting, and will be lower in
subsequent years. For future rulemaking
cycles, we will take into consideration
the suggestion that CMS should move to
a single standardized and streamlined
quality reporting system and potentially
consider collecting CAUTI data through
an additional modification to the IRF–
PAI.
Final Decision: Having carefully
considered the comments received on
the method of data submission for the
measure, we finalize our proposals to
require that IRFs submit data on the
measure through the Centers for Disease
Control (CDC)/National Healthcare
Safety Network (NHSN); to require
submission of the data elements needed
to calculate the measure using the
NHSN’s standard data submission
requirements; to collect quality data
related to HAI events on all patients
regardless of payor; and to require IRFs
to use the specifications and data
collection tools for the measure as
required by CDC as of the time that the
data is submitted. Data collection for the
FY 2014 program will pertain to CAUTI
events that occur from October 1, 2012
through December 31, 2012 (the last
quarter of CY 2012). All subsequent IRF
quality reporting cycles will be based on
a full calendar year (CY) cycle (that is
January 1 through December 31 of the
applicable year). Further details
regarding data submission and reporting
requirements for this measure will be
posted on the CMS Web site https://
www.cms.gov/LTCH-IRF-HospiceQuality-Reporting/ no later than January
31, 2012.
2. Method of Data Submission for the
Percent of Patients With New or
Worsened Pressure Ulcer Measure
We seek to implement the IRF Quality
Reporting Program in a manner that
imposes as little burden as possible.
IRFs already are required to submit
certain data for purposes of determining
payment via the current Inpatient
Rehabilitation Facility-Patient
Assessment Instrument (IRF–PAI).
Previously the IRF–PAI included
optional ‘‘quality indicators’’ (QI). To
support the standardized collection and
calculation of quality measures
specifically focused on IRF services, we
proposed to modify the IRF–PAI by
replacing the optional pressure ulcer
items in the previous QI section of the
IRF–PAI with mandatory pressure ulcer
data elements.
We proposed that IRFs would be
required to submit the data needed to
calculate the measure ‘‘Percent of
Patients with New or Worsened
Pressure Ulcers’’ on all Medicare
patients. Therefore, to measure the
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quality of care that is delivered to
Medicare beneficiaries in the IRF
setting, we proposed to collect quality
data related to new or worsening
pressure ulcers on all Medicare patients.
We proposed to use the IRF–PAI to
collect pressure ulcer data elements that
would be similar to those collected
through the Minimum Data Set 3.0
(MDS 3.0), which is a reporting
instrument that is used in nursing
homes. A draft of the proposed IRF–PAI
revisions with the new pressure ulcer
elements that we are submitting to OMB
for approval is available on the CMS
Web site at https://www.cms.gov/
InpatientRehabFacPPS/
04_IRFPAI.asp#TopOfPage. The current
MDS 3.0 pressure ulcer items evolved as
an outgrowth of CMS’ work to develop
a set of standardized patient assessment
items, now referred to as CARE
(Continuity Assessment Record &
Evaluation).
The CARE assessment items were
developed and tested in the post-acute
care payment reform demonstration
(PAC–PRD) which included IRFs as
required by section 5008 of the 2005
Deficit Reduction Act (DRA) (Pub. L.
109–171, enacted February 8, 2006)
(more information may be found at
https://www.pacdemo.rti.org). We note
that the proposed data elements are
supported by the NPUAP. We believe
that modifying the current IRF–PAI
pressure ulcer items to be consistent
with the standardized data elements
now used in the MDS 3.0, will drive
uniformity across settings that will lead
to better quality of care in IRFs and
ultimately, across the continuum of care
settings. Additional details regarding
the use of modified IRF–PAI data
elements to calculate this measure will
be published on the CMS Web site at
https://www.cms.gov/LTCH-IRF-HospiceQuality-Reporting/by no later than
January 31, 2012.
We received 23 comments on the data
collection and reporting of new and
worsening pressure ulcers for the IRF
quality reporting program, which are
summarized below.
Comment: One commenter expressed
a preference for a claims-based pressure
ulcer measure, citing inter-rater
reliability concerns with clinicians
assessing pressure ulcers at admission
and at discharge. Another commenter
recommended inclusion of a body
diagram to record the location of
pressure ulcers. Another commenter
expressed concern that the data
collection mechanism allows for a count
of multiple pressure ulcers and specific
stages, but not the sizes of multiple
pressure ulcers at the same stage.
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Response: Although one of the
commenters suggested that we consider
collecting data on the pressure ulcer
measure on the claims form instead of
the IRF–PAI, we do not currently collect
this type of patient assessment data on
the claim form, nor do we have a
mechanism for collecting such data
through the IRF claims. Furthermore,
even if the data were to be collected
through the IRF claim, it would still
need to be based on a clinician’s
assessment of the patient at admission
and at discharge from the IRF. Since we
currently use the IRF–PAI to collect
other sorts of patient assessment data,
we believe that this is the most
appropriate vehicle for collecting data
for the pressure ulcer measure.
We agree that it is good clinical
practice to record the location of
pressure ulcers in the medical record.
However, this is not part of the measure
specifications because we do not believe
that reporting the location of pressure
ulcers to CMS will enhance the
usefulness of the New or Worsening
Pressure Ulcer quality measure for
measuring quality in IRFs. We believe,
after extensive consultation with
national subject matter experts on
wound healing, that recording the
overall number of new pressure ulcers
and presence (or lack thereof) of
worsening pressure ulcers, provides an
adequate indication of the quality of
care provided in IRFs with regard to
skin integrity management and wound
healing.
Comment: Several commenters
commended CMS on modifications to
the IRF–PAI to include pressure ulcer
elements that are consistent with the
MDS 3.0. They noted that the elements
offer clear ulcer staging definitions
consistent with NPUAP and the Wound
Ostomy and Continence Nurses Society
(WOCN).
Response: We thank the commenters
for their positive comments with respect
to the IRF–PAI modifications.
Comment: Several commenters
suggested that any plans to incorporate
elements from Continuity Assessment
Record and Evaluation (CARE), which
was developed for and used in the PostAcute Care Payment Reform
Demonstration, be delayed until the
demonstration findings have been
reported to Congress and the public has
had an opportunity to comment on
CARE.
Response: We did not propose to use
the CARE instrument to collect this
data. The Pressure Ulcer Measure we are
adopting, as noted previously, is based
on a similar measure generated from
data collected through the current MDS
3.0 instrument. This measure is NQF-
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endorsed for short-stay nursing home
residents. We proposed to amend the
IRF PAI to replace the prior quality
indicator (QI) elements with the data
elements needed to generate the
pressure ulcer measure. The IRF–PAI
that has been submitted to OMB for
approval can be downloaded from the
IRF PPS Web site at https://
www.cms.gov/InpatientRehabFacPPS/
04_IRFPAI.asp#TopOfPage.
We concluded the PAC–PRD, and
data collection using CARE, in
December 2010. We plan to submit our
Report to Congress by the close of 2011.
As we are not proposing the use of
CARE at this time, we do not believe
there is a need to defer the start of the
new IRF quality reporting program
pending delivery of the CARE report.
Final Decision: Having carefully
considered the comments, we finalize
our proposal to require IRFs to submit
the data needed to calculate the measure
‘‘Percent of Patients with New or
Worsened Pressure Ulcers’’ on all
Medicare patients to CMS through the
modified IRF PAI for all Medicare
beneficiaries treated in the IRF setting.
Additional details regarding the use of
modified IRF–PAI data elements to
calculate this measure are currently
available on the CMS Web site at
https://www.cms.gov/
InpatientRehabFacPPS/
04_IRFPAI.asp#TopOfPage. We will
publish the electronic specifications
related to reporting the pressure ulcer
measure on the CMS Web site https://
www.cms.gov/LTCH-IRF-HospiceQuality-Reporting/ no later than January
31, 2012.
3. Potential Method of Data Submission
for the 30-Day Comprehensive AllCause Risk-Standardized Readmission
Measure
If we adopt a 30-day comprehensive
all-cause risk-standardized readmission
measure for the IRF quality reporting
program, we anticipate being able to use
claims data otherwise submitted by the
IRF to construct it. We generally
anticipate constructing the measure
using 3 years of claims data so that the
measure rate captures a sufficient
number of discharges.
D. Public Reporting
Under section 1886(j)(7)(E)of the Act,
the Secretary is required to establish
procedures for making data submitted
by IRFs under the IRF quality reporting
program available to the public. In
accordance with this provision, we
proposed to establish procedures to
make the data available to the public. As
noted in the proposed rule, we do not
intend to make individual patient-level
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data public. We believe that existing
laws governing access to agency records
will adequately address requests for
such data. We will adopt procedures
that will ensure that an IRF has the
opportunity to review the data to be
made public prior to the data being
made public. Additionally, as required
under section 1886(j)(7)(E) of the Act,
we will report quality measures that
relate to services furnished in IRFs on
CMS’ Web site.
We received 3 comments on public
reporting, which are summarized below.
Comment: One commenter supported
CMS’ proposal to allow IRFs to preview
data and measures prior to any
information being posted on a Web site.
One commenter suggested that CMS
provide IRFs with a 30-day preview
period prior to publicly posting the data
submitted by IRFs under the quality
reporting program and that CMS engage
in ‘‘user testing’’ procedures before
posting the information.
Response: We agree with the
commenters that it is important to allow
IRFs to preview data and measures prior
to any information being publicly
displayed. We will adopt procedures
that will ensure that an IRF has the
opportunity to review the data to be
made public prior to the data being
made public. Additionally, as required
under section 1886(j)(7)(E) of the Act,
we will report quality measures that
relate to services furnished in IRFs on
a CMS Web site. We will take the
commenter’s suggestions regarding
‘‘user testing’’ into consideration as we
develop procedures to publicly report
IRF quality data.
Comment: One commenter urged
CMS to delay public reporting of the IRF
quality data until the second year of
reporting to avoid that potential that
inaccurate data would be posted based
on unintended analytical issues.
Response: We have not at this time
proposed a specific date to begin
publicly reporting IRF quality data. We
will take the commenter’s suggestions
into account as we develop our plans for
future public reporting.
E. Quality Measures for Future
Consideration for Determination of
Increase Factors for Future Fiscal Year
Payments
As indicated previously in this
section, we ultimately seek to adopt a
comprehensive set of quality measures
to be available for widespread use for
informed decision making and quality
improvement. While we are initially
adopting a limited set of measures for
the IRF quality reporting program, we
expect to expand the measure set
through rulemaking which will allow
us, for example, to assess an IRF
patient’s functional status and whether
he/she has achieved his or her
rehabilitation goals and potential.
We intend to propose a more robust
set of measures for the IRF quality
reporting program in the FY 2013
rulemaking cycle for the determination
of the FY 2015 payment increase factor.
We are considering the measures listed
in Table 13 which include, but are not
limited to, measure topics reported by
skilled nursing facilities (SNFs) for short
stay nursing home patients.
Some quality data on short stay
nursing home patients in skilled nursing
facilities (SNFs) are collected via the
MDS 3.0 data collection vehicle. We are
currently analyzing these quality data,
and expect to have findings by early
2012. Next steps would include
analyzing whether any of these
measures would be appropriate for
application in the IRF setting.
If any of the short stay nursing home
measures are appropriate for application
to the IRF setting we intend to propose
some or all of these measures in the FY
2013 rulemaking cycle. Any measures
that we proposed to adopt in through
the FY 2013 rulemaking cycle would
apply to the payment determination for
FY 2015. We expect that any measures
proposed in the FY 2013 rulemaking
cycle would be collected via the IRF–
PAI, and that further changes to this
data collection vehicle and the
supporting information technology (IT)
infrastructure would be necessary. We
expect that it would take providers,
vendors, and CMS approximately one
year to make the necessary changes to
their IT systems to support the
collection and reporting of new or
modified IRF–PAI data elements. We
would expect providers, vendors, and
CMS to complete any needed changes to
their IT systems by August 2013. We
intend to propose that IRFs submit any
additional or revised IRF–PAI data
elements starting October 1, 2013
through December 31, 2013 for the FY
2015 payment update, but we are
considering the possibility of basing
future quality measures on data sources
or assessment instruments other than
the IRF–PAI. As stated earlier, we
developed and tested the CARE
assessment instrument for the postacute demonstration under section 5008
of the DRA. We intend to submit a
report to Congress by the end of 2011
with findings from the 3-year PAC–PRD
and its use of the CARE patient
assessment instrument as a data
collection vehicle. More details on the
PAC–PRD which concluded in late 2010
are available at https://
www.pacdemo.rti.org. We believe that
the data elements that were collected
using this CARE standardized
assessment instrument could be used
across all post-acute care sites to
measure functional status and other
factors during treatment and at
discharge which are key indicators of
quality in IRFs and in nursing homes
treating short stay patients requiring
rehabilitative services. We believe the
instrument could be beneficial in
supporting the submission of data on
quality measures by IRFs and other care
settings by using a standardized data
collection instrument
During the NQF endorsement process
for nursing home quality measures,
conducted through the NQF’s 2010
measures maintenance cycle, the NQF
steering committee pointed to the need
for CMS to consider pairing pain
measures with a measure or measures
that reflect patients’ preferences for how
their care, treatment and symptoms are
managed by healthcare providers. These
items, and other items in Table 13, are
under consideration for future years.
TABLE 13—POSSIBLE FUTURE MEASURES AND TOPICS FOR THE IRF QUALITY REPORTING PROGRAM
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Overarching Goal: Safety and Healthcare Acquired Conditions: Avoidable Adverse Events and Serious Reportable Events *
•
•
•
•
•
•
•
Unplanned acute care hospitalizations.
Falls with major injury.* **
Falls with major injury per 1,000 days.
Incidence of venous thromboembolism (VTE), potentially preventable.*
Poly-pharmacy related injury.
Medication errors.*
Stage III and IV pressure ulcers.**
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TABLE 13—POSSIBLE FUTURE MEASURES AND TOPICS FOR THE IRF QUALITY REPORTING PROGRAM—Continued
Overarching Goal: Safety and Prevention
•
•
•
•
VTE Prophylaxis.
Patient Immunization for Influenza.
Patient Immunization for Pneumonia.
Staff Immunization.
Overarching Goal: Safety and Healthcare Acquired Conditions—HAIs
• Surgical site infections.
• Multidrug resistant organism infection.
Overarching Goal: Better, Person Centered-Care: Care Coordination/Care Outcome
•
•
•
•
•
•
Functional Change: Change in Motor Score.
Change in Cognitive Function: Change in Cognitive Score.
Communication.
Percent of patients whose individually stated goals were met.
Care Transitions Measure–3 (CTM–3).
Discharge Outcome/Discharge disposition:
—Home.
—Assisted Living.
—Nursing Home.
—LTCH.
—Hospital.
—Hospice.
• Patient Preferences for care, treatment and management of symptoms by healthcare providers.
Overarching Goal: Better, Person Centered-Care: Symptom Management
•
•
•
•
Percent
Percent
Percent
Percent
of
of
of
of
patients
patients
patients
patients
on a scheduled pain management regime on admission who report a decrease in pain intensity or frequency.
with pain assessment conducted and documented prior to therapy.
who self-report moderate to severe pain.
with dyspnea improved within one day of assessment.
Overarching Goal: Better, Person Centered-Care: Experience of Care
• Patient Survey, for example, Hospital Consumer Assessment of Healthcare Providers & Systems.
• Percent of patients for whom care delivered was consistent with patient stated care preferences.
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* Consistent with NQF Serious Reportable Events.
** Consistent with Healthcare Acquired Conditions (HAC) Prevalence Measure.
We received 8 comments on CMS’
potential future use of the CARE
assessment instrument to collect quality
reporting data, which are summarized
below.
Comment: Several commenters said
that they recognized the value of
standardizing assessment data across
settings. However, they expressed
concerns about CMS’ potential future
use of CARE as a data collection vehicle
in IRFs. These commenters questioned
CARE’s ability to accurately document
medical severity, functional status and
other factors related to quality
outcomes. In addition, several
commenters suggested the need for
additional testing of CARE items in IRFs
should CMS elect to use CARE.
Response: CARE was developed in
response to the Deficit Reduction Act of
2005 which directed CMS to develop a
standardized assessment and test it in a
demonstration for the purposes of ‘‘costs
and outcomes across different postacute care sites.’’ CARE was used in the
PAC–PRD to collect over 7,000
assessments in IRFs (as well as long-
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term care hospitals, nursing homes,
home health agencies and acute-care
hospitals at discharge) across the
country. Items were tested for reliability
using two methods—a traditional interrater reliability test where 2 clinicians of
the same discipline scored the same
patient, and a test of reliability
examining differences among
disciplines in rating the same case.
Overall, the vast majority of items had
‘‘good’’ to ‘‘very good’’ agreement. We
will deliver our Report to Congress with
findings by the close of 2011.
We received 16 comments on possible
Future Measures and Topics for the IRF
Quality Reporting Program, which are
summarized below.
Comment: The majority of the
commenters were supportive of the
listed possible future quality measures.
Many applauded consideration of
measures for functional status,
discharge to community, falls with
major injuries, incidence of venous
thromboembolism (VTE), patient
preferences and symptom management.
The MedPAC expressed support for the
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development of a limited number of
quality measures in the IRF sector that
would focus on outcomes measures
when possible and patient safety and
experience where applicable. Moreover,
MedPAC expressed support for CMS
developing and including a hospital
readmission measure into the IRF
quality reporting program, and
encouraged CMS to add a measure of
functional improvement given its
centrality to IRF care.
Response: We thank the commenters
for their input. We appreciate
MedPAC’s support of our efforts to
develop a quality reporting program for
IRFs that focuses on outcome measures
and patient safety. We will take all
comments into consideration for future
expansion of the IRF quality reporting
program.
Final Decision: After carefully
considering the comments we received
on the new IRF quality reporting
program, we are finalizing the new IRF
quality reporting program for the first
reporting year, as proposed. In addition,
we are submitting the revised IRF–PAI,
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which can be downloaded from the IRF
PPS Web site at https://www.cms.gov/
InpatientRehabFacPPS/
04_IRFPAI.asp#TopOfPage, to OMB for
approval.
We are also re-designating the existing
paragraph § 412.624(c)(4) as
§ 412.624(c)(5) and adding a new
paragraph § 412.624(c)(4). The specific
changes to the regulations at part 412
are shown in the ‘‘Regulation Text’’ of
this final rule.
XI. Miscellaneous Comments
Comment: Several commenters
requested that CMS use the most recent
3 years of data to review and update the
list of comorbidities used to determine
the tier payments to ensure that the tier
list reflects all conditions that
contribute significantly to IRF costs of
care. Along these same lines, one
commenter suggested that additional
tier comorbidity codes might be
appropriate for the list if CMS were to
require IRFs to provide ‘‘present on
admission’’ information to verify that
the condition had been present on
admission and did not occur during the
IRF stay.
Response: We appreciate the
commenters’ suggestions, and will
consider these suggestions for future
analyses.
Comment: Several commenters
requested that CMS provide more data
to allow stakeholders to replicate our
analyses. Specifically, one commenter
requested that CMS amend the MedPAR
file to include information on a patient’s
CMG classification, and provide
stakeholders with patient-level IRF–PAI
data.
Response: We agree that the public
should have access to whatever is
necessary to review and comment on
our proposed policies and evaluate the
impacts of these policies. Some
commenters have expressed a belief that
the MedPAR files could inform their
review of our proposals if it included
CMGs. While we are unsure how this
information would assist commenters,
our policy is to supply whatever data is
requested if such disclosure is legally
permitted. We are therefore working
towards including CMG information on
the MedPAR, to the extent that such
information will not make the MedPAR
a patient-identifiable data file. The
commenters also requested that we
provide public access to patientidentifiable data, such as the IRF–PAI.
We are restricted in our ability to release
patient-level data under several privacy
and security laws, such as the Privacy
Act and the Health Insurance Portability
and Accountability Act of 1996 (HIPAA)
and the implementing regulations. For
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example, the HIPAA Privacy Rule
provides that we may only disclose the
minimum data necessary to accomplish
the purpose of the disclosure (45 CFR
164.502(b)). We did not use IRF–PAI
data in our analysis for the FY 2012 IRF
PPS proposed and final rules. As such,
these data are not relevant to the ability
of commenters to review or comment on
our proposals. We would violate
HIPAA’s minimum necessary
requirements if we were to release these
data for purposes of reviewing and
responding to these rules. If identifiable
data is used in future rulemaking, we
will make data available in accordance
with applicable law. Further, if
commenters wish to request identifiable
data for purposes outside the IRF PPS
rulemaking process, we encourage them
to use CMS’ normal data request
process. More information on CMS’ data
distribution policies is available on
CMS’s Web site at https://www.cms.gov/
IdentifiableDataFiles/.
Comment: One commenter suggested
that CMS revise the IRF coverage
requirements that are described in
chapter 1, section 110 of the Medicare
Benefit Policy Manual (Pub. L. 100–02)
to allow recreational therapy services to
count, on a limited basis, towards the
intensive rehabilitation therapy
requirement in IRFs and also to state
that recreational therapy is a covered
service in IRFs when the medical
necessity is well-documented by the
rehabilitation physician in the medical
record and is ordered by the
rehabilitation physician as part of the
overall plan of care for the patient.
Response: As we did not propose any
changes to the IRF coverage
requirements in § 412.622(a)(3), (4), and
(5) that would affect any of the
requirements described in chapter 1,
section 110 of the Medicare Benefit
Policy Manual (Pub. L. 100–02), this
comment is outside the scope of the
proposed rule. However, as we have
indicated before, we do not believe that
recreational therapy services should
replace the provision of the 4 core
skilled therapy services (physical
therapy, occupational therapy, speechlanguage pathology, and prosthetics/
orthotics). Thus, we believe it should be
left to each individual IRF to determine
whether offering recreational therapy is
the best way to achieve the desired
patient care outcomes. As we have
stated previously, recreational therapy
is a covered service in IRFs when the
medical necessity is well-documented
by the rehabilitation physician in the
medical record and is ordered by the
rehabilitation physician as part of the
overall plan of care for the patient.
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XII. Provisions of the Final Regulations
In this final rule, we are adopting the
provisions as set forth in the FY 2012
IRF PPS proposed rule (76 FR 24214),
except as noted elsewhere in the
preamble. Specifically:
A. Payment Provision Changes
• We will update the FY 2012 IRF
PPS relative weights and average length
of stay values using the most current
and complete Medicare claims and cost
report data in a budget neutral manner,
as discussed in section IV. of this final
rule.
• We will hold the FY 2012 IRF
facility-level adjustments (rural, LIP,
and teaching status adjustments) at FY
2011 levels while we conduct further
research on the underlying reasons for
the fluctuations in the data, as discussed
in section V. of this final rule.
• We will implement a temporary cap
adjustment policy for the teaching status
adjustment to reflect interns and
residents displaced due to closure of
IRFs or IRF residency training programs,
as discussed in section V. of this final
rule.
• We will update the FY 2012 IRF
PPS payment rates by the market basket
increase factor, based upon the most
current data available, with a 0.1
percentage point reduction as required
by sections 1886(j)(3)(C)(ii)(II) and
1886(j)(3)(D)(ii) of the Act and a
productivity adjustment required by
section 1886(j)(3)(C)(ii)(I) of the Act, as
described in section VI. of this final
rule.
• We will update the wage index and
the labor-related share of the FY 2012
IRF PPS payment rates in a budget
neutral manner, as discussed in section
VI. of this final rule.
• We will calculate the final IRF
Standard Payment Conversion Factor for
FY 2012, as discussed in section VI. of
this final rule.
• We will update the outlier
threshold amount for FY 2012, as
discussed in section VII. of this final
rule.
• We will update the cost-to-charge
ratio (CCR) ceiling and urban/rural
average CCRs for FY 2012, as discussed
in section VII. of this final rule.
• We will discuss the impact of the
IPPS data matching process changes on
the IRF PPS calculation of the
Supplemental Security Income (SSI)
ratios used to compute the IRF LIP
adjustment factor, as discussed in
section VIII. of this final rule.
• We will implement the IRF quality
reporting program provisions of section
1886(j)(7) of the Act, as discussed in
section X. of this final rule.
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B. Proposed Revisions to Existing
Regulation Text
In addition, we will revise the
existing requirements at § 412.25(b),
§ 412.25(b)(1), § 412.25(b)(2), and
§ 412.25(b)(3) that apply to all units that
are excluded from the IPPS, as
described in section IX. of this final
rule. To amend the regulatory reference
to conform with these changes, we will
also revise the existing requirements at
§ 412.25(e)(2)(ii)(A), as described in
section IX. of this final rule. With the
exception of § 412.25(e)(2)(ii)(A), the
revisions affect both IRFs and IPFs.
We will also relocate and revise the
existing requirements at § 412.23(b),
§ 412.29, and § 412.30 that describe the
requirements for facilities to qualify to
receive payment under the IRF PPS, as
described in section IX. of this final
rule.
Finally, we will re-designate the
existing paragraph § 412.624(c)(4) as
§ 412.624(c)(5) and add a new paragraph
§ 412.624(c)(4) to implement the IRF
quality reporting program, as described
in section X of this final rule.
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XIII. Collection of Information
Requirements
Under the Paperwork Reduction Act
of 1995, we are required to provide 60day notice in the Federal Register and
solicit public comment before a
collection of information requirement is
submitted to the OMB for review and
approval. In order to fairly evaluate
whether an information collection
should be approved by OMB, section
3506(c)(2)(A) of the Paperwork
Reduction Act of 1995 requires that we
solicit comment on the following issues:
• The need for the information
collection and its usefulness in carrying
out the proper functions of our agency.
• The accuracy of our estimate of the
information collection burden.
• The quality, utility, and clarity of
the information to be collected.
• Recommendations to minimize the
information collection burden on the
affected public, including automated
collection techniques.
This final rule does not impose any
new information collection
requirements as outlined in the
regulation text. However, this final rule
does make reference to associated
information collections that are not
discussed in the regulation text
contained in this document. The
following is a discussion of these
information collections, some of which
have already received OMB approval.
As stated in section X.B of this final
rule, for purposes of calculating the FY
2014 IRF PPS increase factor, we require
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IRFs to submit data on 2 quality
measures beginning October 1, 2012.
These quality measures are: (1) Catheter
Associated Urinary Tract Infections; and
(2) Pressure Ulcers that are New or Have
Worsened. The aforementioned
measures will be collected via the
following respective means.
A. Catheter Associated Urinary Tract
Infections (CAUTI)
Regarding the collection of data on
the first quality measure, Catheter
Associated Urinary Tract Infections, we
will require as the form and manner of
submission for the measure, CAUTI rate
per 1,000 urinary catheter days, to be
through the Centers for Disease Control
(CDC)/National Health Safety Network
(NHSN). Data collection by the NHSN
occurs via a Web-based tool hosted by
the CDC. This reporting service is
provided free of charge to healthcare
facilities. In fact, some IRFs are already
using the NHSN to collect and submit
this data. With this final rule, we will
impose an information collection
requirement for the CAUTI measure. It
should be noted that information
collection activities associated with the
CDC/NHSN are currently approved
under OMB control number 0920–0666.
Detailed requirements for NHSN
participation, measure specifications,
and data collection can be found at
https://www.cdc.gov/nhsn/. IRFs must
use the current specifications and data
collection tools for Catheter Associated
Urinary Tract Infections.
While IRFs were not previously
required to report data to NHSN,
according to the CDC, there are 26 IRFs
that already submit data to NHSN either
voluntarily or per State mandate. To
report data to NHSN, the CDC requires
the facility to enroll into the NHSN and
take specified training. According to the
NHSN Web site, it will take 240 minutes
(4 hours) to register and complete the
necessary training provided by the CDC.
The estimated annual burden associated
with this requirement is 270,000
minutes/4,500 hours (240 minutes x
1,126 IRFs) at an estimated cost of
$187,321. This cost is estimated using
the average hourly wage of a Registered
Nurse which is reported by the U.S.
Bureau of Labor Statistics to be $41.59.
Once each facility has been properly
registered into NHSN and trained, they
will need to submit two types of forms
in order for CDC to calculate the CAUTI
rate per 1,000 urinary catheter days. The
first form, the Urinary Tract Infection
(UTI) form, is submitted by facilities for
each patient with a CAUTI. We estimate
that it will take 15 minutes per form per
IRF. This time estimate consists of 5
minutes of nursing time needed to
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collect the clinical data and 10 minutes
of clerical time necessary to enter the
data into NHSN. We further anticipate
that there will be approximately 2.25
forms submitted per IRF per month.
Based on this estimate, we expect for
each IRF to expend 33.75 minutes
(0.5625 hours) per month or 405
minutes (6.75 hours) per year reporting
to NHSN. The estimated annual burden
to all IRFs in the U.S. for reporting to
NHSN is 7,776 hours. The estimated
cost per IRF is $186.15 per year.
Similarly, the estimated total yearly cost
across all IRFs is $214,445. These costs
are estimated using an hourly wage for
a Registered Nurse of $41.59 and a
Medical Billing Clerk/Data Entry person
of $20.57 as stated by the U.S. Bureau
of Labor Statistics. The second form, the
denominator form, is used to count
daily the number of patients with an
indwelling catheter device. These daily
counts are summed and only the total
for each month is submitted to NHSN.
While CDC estimates that the
denominator form takes 5 hours per
month to complete, we estimate that it
will take 2.5 hours per form per IRF per
month, as the number of patients with
an indwelling catheter is the only part
of this form that IRFs will be required
to complete. We anticipate that there
will be one form submitted per IRF per
month. Based on this estimate, we
expect for each IRF to expend 150
minutes (2.5 hours) per month and
1,800 minutes (30 hours) per year
reporting to NHSN. The estimated
annual burden to all IRFs in the U.S. for
reporting to NHSN is 34,560 hours. The
estimated cost per IRF is $1,247.70 per
year. Similarly, the estimated total
yearly cost across all IRFs is $1,437,350.
These costs are estimated using an
hourly wage for a Registered Nurse of
$41.59.
B. Pressure Ulcers That Are New or
Have Worsened
As stated in section X.C.2 of this final
rule, to support the standardized
collection and calculation of quality
measures specifically focused on IRF
services, we modified the IRF–PAI by
replacing and harmonizing the pressure
ulcer items with data elements similar
to those collected through the MDS 3.0
used in nursing homes. Additionally,
the MDS 3.0 pressure ulcer items have
been harmonized with the CARE data
set, which was developed for and
broadly tested in the post-acute
demonstration as required by section
5008 of the Deficit Reduction Act of
2005 (Pub. L. 109–171, enacted on
February 8, 2006) (DRA). We believe the
modified IRF–PAI pressure ulcer items
are consistent with the standardized
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data elements now used in the MDS 3.0,
and supported by the NPUAP. They will
provide better informed decision
making and quality improvement in
IRFs and ultimately, across the
continuum of care settings.
Since all IRFs are already required to
complete and transmit IRF–PAIs on all
Medicare Part A fee-for-service and
Medicare Part C (Medicare Advantage)
patients in order to receive payment
from Medicare, and the number of IRFs
submitting claims to Medicare has
remained stable over the past several
years, we do not estimate that there are
any IRFs that would need to conduct
additional training or set-up for
completing and transmitting the IRF–
PAI. Thus, we do not estimate any
additional burden on IRFs for these
activities. In addition, we do not
estimate any additional burden for IRFs
to complete the IRF–PAI with the
mandatory quality measures, as the IRF–
PAI currently contains a voluntary
‘‘Quality Indicators’’ section. We are
replacing the voluntary data items with
the proposed pressure ulcer question
set. When the original burden estimates
were completed for the IRF–PAI, we
estimated that the ‘‘Quality Indicators’’
section of the IRF–PAI would take about
10 minutes to complete, and we
assumed that all IRFs would complete
the Quality Indicators items, even
though completion of this section was
voluntary. Thus, removing the Quality
Indicators items from the IRF–PAI
decreases the total estimated burden of
completing each IRF–PAI by about 10
minutes. However, we estimate that it
will take about 10 minutes to complete
the new pressure ulcer item that we
require IRFs to complete as part of the
new IRF quality reporting program.
Since the time to complete the items
that we are removing from the IRF–PAI
is the same as the time to complete the
new items we added, we estimate no net
change in the amount of time associated
with completing each IRF–PAI and no
net change in burden.
We will be submitting a revision to
the IRF–PAI information collection
request currently approved under OMB
control number 0938–0842 for OMB
review and approval.
If you comment on these information
collection and recordkeeping
requirements, please do either of the
following:
1. Submit your comments
electronically as specified in the
ADDRESSES section of this proposed rule;
or
2. Submit your comments to the
Office of Information and Regulatory
Affairs, Office of Management and
Budget, Attention: CMS Desk Officer,
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CMS–1349–F, Fax: (202) 395–6974; or
E-mail: OIRA_submission@omb.eop.gov.
XIV. Economic Analyses
A. Regulatory Impact Analysis
1. Introduction
We have examined the impacts of this
final rule as required by Executive
Order 12866 (September 30, 1993,
Regulatory Planning and Review),
Executive Order 13563 on Improving
Regulation and Regulatory Review
(January 18, 2011), the Regulatory
Flexibility Act (September 19, 1980,
Pub. L. 96–354) (RFA), section 1102(b)
of the Act, section 202 of the Unfunded
Mandates Reform Act of 1995 (Pub. L.
104–4), Executive Order 13132 on
Federalism (August 4, 1999), and the
Congressional Review Act (5 U.S.C.
804(2)).
Executive Orders 12866 and 13563
direct agencies to assess all costs and
benefits of available regulatory
alternatives and, if regulation is
necessary, to select regulatory
approaches that maximize net benefits
(including potential economic,
environmental, public health and safety
effects, distributive impacts, and
equity). Executive Order 13563
emphasizes the importance of
quantifying both costs and benefits, of
reducing costs, of harmonizing rules,
and of promoting flexibility. This final
rule has been designated an
‘‘economically’’ significant rule, under
section 3(f)(1) of Executive Order 12866.
Accordingly, the rule has been reviewed
by the OMB.
2. Statement of Need
This final rule updates the IRF
prospective payment rates for FY 2012
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 rule also implements some
policy changes within the statutory
discretion afforded to the Secretary
under section 1886(j) of the Act. We
believe that the policy changes will
better align IRF PPS policies with those
of other Medicare payment systems and
will clarify the IRF payment regulations.
Further, many of the policy changes are
designed to promote greater flexibility
in the IRF PPS policies.
This final rule also implements
section 3401(d) of the Affordable Care
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47885
Act, which 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 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.
Finally, this final rule discusses the
IRF quality measures that we are
adopting for the first year of
implementation of a new IRF quality
reporting program, as required by
section 3004(b) of the Affordable Care
Act.
3. Overall Impacts
We estimate that the total impact of
these changes for estimated FY 2012
payments compared to estimated FY
2011 payments would be an increase of
approximately $150 million (this
reflects a $120 million increase from the
update to the payment rates and a $30
million increase due to the update to the
outlier threshold amount to increase
estimated outlier payments from
approximately 2.6 percent in FY 2011 to
3 percent in FY 2012).
4. Detailed Economic Analysis
i. Basis and Methodology of Estimates
This final rule sets forth updates of
the IRF PPS rates contained in the FY
2011 notice and updates to the CMG
relative weights and average length of
stay values, the wage index, and the
outlier threshold for high-cost cases.
This final rule also implements a 0.1
percentage point reduction to the FY
2012 rebased RPL market basket
increase factor (updated from a 2002
base year to a 2008 base year) in
accordance with sections
1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(ii)
of the Act and a 1.0 percent reduction
to the FY 2012 rebased RPL market
basket increase factor for the
productivity adjustment as required by
section 1886(j)(3)(C)(ii)(I) of the Act.
We estimate that the FY 2012 impact
would be a net increase of $150 million
in payments to IRF providers (this
reflects a $120 million estimated
increase from the update to the payment
rates and a $30 million estimated
increase due to the update to the outlier
threshold amount to increase the
estimated outlier payments from
approximately 2.6 percent in FY 2011 to
3.0 percent in FY 2012). The impact
analysis in Table 14 of this final rule
represents the projected effects of the
policy changes in the IRF PPS for FY
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2012 compared with estimated IRF PPS
payments in FY 2011 without the policy
changes. We estimate 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 variables, such as the number of
discharges or case-mix.
We note that certain events may
combine to limit the scope or accuracy
of our impact analysis, because 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 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 2012, we
are implementing a number of standard
annual revisions and clarifications
mentioned elsewhere in this final rule
(for example, the update to the wage
index and market basket increase factor
used to adjust the Federal rates). We
estimate that these revisions will
increase payments to IRFs by
approximately $120 million (all due to
the update to the market basket increase
factor, since the update to the wage
index is done in a budget neutral
manner-as required by statute-and
therefore neither increases nor decreases
aggregate payments to IRFs).
The aggregate change in estimated
payments associated with this final rule
is estimated to be an increase in
payments to IRFs of $150 million for FY
2012. The market basket increase of
$120 million and the $30 million
increase due to the update to the outlier
threshold amount to increase estimated
outlier payments from approximately
2.6 percent in FY 2011 to 3.0 percent in
FY 2012 result in a net change in
estimated payments from FY 2011 to FY
2012 of $150 million.
The effects of the changes that impact
IRF PPS payment rates are shown in
Table 14. The following changes that
affect the IRF PPS payment rates are
discussed separately below:
• The effects of the update to the
outlier threshold amount, from
approximately 2.6 to 3.0 percent of total
estimated payments for FY 2012,
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consistent with section 1886(j)(4) of the
Act.
• The effects of the 2.9 percent
annual market basket update for FY
2012 (using the rebased RPL market
basket) to IRF PPS payment rates, as
required by sections 1886(j)(3)(A)(i) and
1886(j)(3)(C) of the Act, including a 0.1
percentage point reduction for FY 2012
in accordance with sections
1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(ii)
of the Act and a 1.0 percent reduction
for the productivity adjustment as
required by section 1886(j)(3)(C)(ii)(I) of
the Act.
• The effects of applying the budgetneutral labor-related share and wage
index adjustment, as required under
section 1886(j)(6) of the Act.
• The effects of the 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 effect of the data matching
process to compute the DSH patient
percentage used in the IPPS DSH
adjustment that is also used by IRF PPS
to compute the low-income percentage
adjustment factor.
• The effect of the IRF quality
reporting program, beginning in FY
2013.
• The total change in estimated
payments based on the FY 2012 policies
relative to estimated FY 2011 payments
without the policies.
ii. Description of Table 14
Table 14 categorizes IRFs by
geographic location, including urban or
rural location, and location in one of
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 the table shows the overall
impact on the 1,152 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,
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and by type of ownership. There are 956
IRFs located in urban areas included in
our analysis. Among these, there are 752
IRF units of hospitals located in urban
areas and 205 freestanding IRF hospitals
located in urban areas. There are 195
IRFs located in rural areas included in
our analysis. Among these, there are 175
IRF units of hospitals located in rural
areas and 20 freestanding IRF hospitals
located in rural areas. There are 380 forprofit IRFs. Among these, there are 317
IRFs in urban areas and 63 IRFs in rural
areas. There are 718 non-profit IRFs.
Among these, there are 596 urban IRFs
and 122 rural IRFs. There are 54
government-owned IRFs. Among these,
there are 44 urban IRFs and 10 rural
IRFs.
The remaining three 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 to
their location within one of the 9 CMS
geographic regions. Second, IRFs
located in rural areas are categorized to
their location within one of the 9 CMS
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. Third, IRFs are 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 percent and 10 percent, IRFs
with a DSH PP between 10 percent and
20 percent, and IRFs with a DSH PP
greater than 20 percent.
The estimated impacts of each change
to the facility categories listed above are
shown in the columns of Table 14. The
description of each column is as
follows:
Column (1) shows the facility
classification categories described
above.
Column (2) shows the number of IRFs
in each category in our FY 2010 analysis
file.
Column (3) shows the number of
cases in each category in our FY 2010
analysis file.
Column (4) shows the estimated effect
of the adjustment to the outlier
threshold amount so that estimated
outlier payments increase from
approximately 2.6 percent in FY 2011 to
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3.0 percent of total estimated payments
for FY 2012.
Column (5) shows the estimated effect
of the rebased market basket update to
the IRF PPS payment rates.
Column (6) shows the estimated effect
of the update to the IRF labor-related
share and wage index, in a budget
neutral manner.
Column (7) shows the estimated effect
of the update to the CMG relative
weights and average length of stay
values, in a budget neutral manner.
Column (8) compares our estimates of
the payments per discharge,
incorporating all of the proposed
changes reflected in this final rule for
FY 2012, to our estimates of payments
per discharge in FY 2011 (without these
changes).
The average estimated increase for all
IRFs is approximately 2.2 percent. This
estimated increase includes the effects
of the 1.8 percent market basket update,
which is derived from a 2.9 percent
rebased market basket update reduced
by 0.1 percentage point for FY 2012, in
accordance with sections
1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(ii)
of the Act, and reduced by a 1.0
percentage point productivity
adjustment as required by section
1886(j)(3)(C)(ii)(I) of the Act. It also
includes the 0.4 percent overall
estimated increase (the difference
between 2.6 percent in FY 2011 and 3.0
percent in FY 2012) in estimated IRF
outlier payments from the update to the
outlier threshold amount. Because we
are making the remainder of the changes
outlined in this final rule in a budgetneutral manner, they will not affect total
estimated IRF payments in the
aggregate. However, as described in
more detail in each section, they will
affect the estimated distribution of
payments among providers.
TABLE 14—IRF IMPACT TABLE FOR FY 2012
Number
of cases
Outlier
(1)
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Number
of IRFs
(2)
(3)
(4)
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 2
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 2
Rural New England .......................................................
Rural Middle Atlantic .....................................................
Rural South Atlantic ......................................................
Rural East North Central ..............................................
Rural East South Central ..............................................
Rural West North Central .............................................
Rural West South Central .............................................
Rural Mountain .............................................................
Rural Pacific ..................................................................
Teaching status
Non-teaching .................................................................
Resident to ADC less than 10% ...................................
Resident to ADC 10%–19% .........................................
Resident to ADC greater than 19% ..............................
Disproportionate share patient percentage (DSH PP)
DSH PP = 0% ...............................................................
DSH PP < 5% ...............................................................
DSH PP 5%–10% .........................................................
DSH PP 10%–20% .......................................................
DSH PP greater than 20% ...........................................
FY 2012
Adjusted
market
basket
increase
factor1
FY 2012
CBSA
wage
index and
laborshare
(5)
Facility classification
CMG
Total
percent
change
(6)
(7)
(8)
1,152
752
175
205
20
317
63
596
122
44
10
957
195
397,256
200,510
27,993
162,121
6,632
151,768
12,437
199,249
20,437
11,614
751
362,631
34,625
0.4%
0.6
0.5
0.2
0.2
0.2
0.4
0.6
0.5
0.7
0.9
0.4
0.5
1.8%
1.8
1.8
1.8
1.8
1.8
1.8
1.8
1.8
1.8
1.8
1.8
1.8
0.0%
¥0.1
0.7
0.0
1.6
0.1
1.1
¥0.3
0.8
0.2
1.3
¥0.1
0.9
0.0%
0.0
0.1
0.0
¥0.1
0.0
0.1
0.0
0.0
0.0
0.1
0.0
0.1
2.2
2.3
3.2
1.9
3.5
2.1
3.4
2.1
3.1
2.8
4.1
2.1
3.2
32
142
132
188
49
73
169
70
102
................
6
16
25
33
23
31
50
7
4
16,385
66,330
63,773
57,251
26,367
18,112
66,296
23,827
24,290
................
1,354
3,232
5,988
5,775
4,016
3,944
9,259
670
387
0.4
0.3
0.4
0.6
0.2
0.6
0.4
0.5
0.7
................
1.0
0.3
0.3
0.4
0.2
0.8
0.6
0.6
1.5
1.8
1.8
1.8
1.8
1.8
1.8
1.8
1.8
1.8
................
1.8
1.8
1.8
1.8
1.8
1.8
1.8
1.8
1.8
¥1.2
¥0.7
0.0
0.0
0.4
0.0
0.5
0.2
¥0.3
................
0.7
1.8
0.8
0.1
1.4
¥0.2
1.6
0.3
¥0.4
0.1
0.0
0.0
0.0
¥0.1
0.0
0.0
¥0.1
0.0
................
0.1
0.0
0.0
0.1
0.0
0.1
0.1
0.1
¥0.1
1.1
1.4
2.2
2.4
2.3
2.4
2.7
2.3
2.2
................
3.6
3.9
2.9
2.4
3.4
2.5
4.0
2.8
2.8
1,036
69
33
14
345,421
36,843
12,481
2,511
0.4
0.6
0.6
0.7
1.8
1.8
1.8
1.8
0.1
¥0.4
¥0.3
¥0.7
0.0
0.0
0.1
0.0
2.3
2.0
2.2
1.9
39
208
342
330
233
10,532
62,428
134,672
123,352
66,272
0.5
0.4
0.3
0.4
0.6
1.8
1.8
1.8
1.8
1.8
0.4
¥0.2
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
2.7
2.0
2.2
2.2
2.4
1 This column reflects the impact of the rebased RPL market basket increase factor for FY 2012 of 1.8 percent, which includes a market basket
update of 2.9 percent, a 0.1 percentage point reduction in accordance with sections 1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(ii) of the Act and a 1.0
percent reduction for the productivity adjustment as required by section 1886(j)(3)(C)(ii)(I) of the Act.
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map of States that comprise the 9 geographic regions can be found at: https://www.census.gov/geo/www/us_regdiv.pdf.)
iii. Impact of the Update to the Outlier
Threshold Amount
In the FY 2011 IRF PPS notice (75 FR
42836), we used FY 2009 patient-level
claims data (the best, most complete
data available at that time) to set the
outlier threshold amount for FY 2011 so
that estimated outlier payments would
equal 3 percent of total estimated
payments for FY 2011. For this final
rule, we update our analysis using more
current FY 2010 data. Using the updated
FY 2010 data, we now estimate that IRF
outlier payments, as a percentage of
total estimated payments for FY 2011,
decreased from 3 percent using the FY
2009 data to approximately 2.6 percent
using the updated FY 2010 data. As a
result, we adjust the outlier threshold
amount for FY 2012 to $10,660,
reflecting total estimated outlier
payments equal to 3 percent of total
estimated payments in FY 2012.
The impact of the update to the
outlier threshold amount (as shown in
column 4 of Table 14) is to increase
estimated overall payments to IRFs by
0.4 percent. We do not estimate that any
group of IRFs would experience a
decrease in payments from this update.
We estimate the largest increase in
payments to be a 1.5 percent increase in
estimated payments to rural IRFs in the
Pacific region.
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iv. Impact of the Market Basket Update
to the IRF PPS Payment Rates
The adjusted market basket update to
the IRF PPS payment rates is presented
in column 5 of Table 14. In the aggregate
the update will result in a net 1.8
percent increase in overall estimated
payments to IRFs. This net increase
reflects the estimated rebased RPL
market basket increase factor for FY
2012 of 2.9 percent, reduced by 0.1
percentage point in accordance with
sections 1886(j)(3)(C)(ii)(II) and
1886(j)(3)(D)(ii) of the Act, and reduced
by a 1.0 percent productivity adjustment
as required by section 1886(j)(3)(C)(ii)(I)
of the Act.
v. Impact of the CBSA Wage Index and
Labor-Related Share
In column 6 of Table 14, we present
the effects of the budget neutral update
of the wage index and labor-related
share. The 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
changes in the two have a combined
effect on payments to providers. As
discussed in section VI.A.4 of this final
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rule, the labor-related share decreased
from 75.271 percent in FY 2011 to
70.199 percent in FY 2012.
In the aggregate, since these updates
to the wage index and the labor-related
share are applied in a budget-neutral
manner as required under section
1886(j)(6) of the Act, we do not estimate
that these updates will affect overall
estimated payments to IRFs. However,
we estimate that these changes will have
small distributional effects. For
example, we estimate a 0.9 percent
increase in payments to rural IRFs, with
the largest increase in payments of 1.8
percent for rural IRFs in the MidAtlantic region. We estimate the largest
decrease in payments from the update to
the CBSA wage index and labor-related
share to be a 1.2 percent decrease for
urban IRFs in the New England region.
vi. Impact of the Update to the CMG
Relative Weights and Average Length of
Stay Values
In column 7 of Table 14, we present
the effects of the budget neutral update
of the CMG relative weights and average
length of stay values. In the aggregate
we do not estimate that these updates
will affect overall estimated payments to
IRFs. However, we estimate that these
updates will have small distributional
effects. The largest decrease in
payments as a result of these updates is
a 0.1 percent decrease to rural
freestanding IRFs, urban IRFs in the East
South Central and Mountain regions,
and rural IRFs in the Pacific region.
vii. Impact of the IPPS Data Matching
Process Changes on the IRF PPS
Calculation of the Low-Income
Percentage Adjustment Factor
In section VIII of this final rule, we
note the recent revision of the data
matching process that is used to
calculate the DSH patient percentage
used in the acute IPPS DSH adjustment.
As we have stated previously, it is our
policy in calculating the LIP adjustment
factor to use the same DSH patient
percentage used in the acute IPPS DSH
adjustment. This would include the data
matching process. We are not able to
provide a detailed analysis of the impact
of the revised data matching process.
That is, it is not possible to determine
whether IRF LIP adjustment payments
will generally increase or decrease,
because IRFs’ SSI fractions will vary
depending on various factors, including
the use of a more updated MedPAR
claims data file, use of a more updated
SSI eligibility data file, and the other
features of the revised data matching
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process. See the FY 2011 IPPS final rule
(75 FR 50663 through 50664) for more
information on the revised data
matching process.
ix. Impact of the IRF Quality Reporting
Program Beginning in FY 2013
As discussed in section X.B of this
final rule, we will collect data on 2
quality measures from October 1, 2012
through December 31, 2012 (FY 2013).
These quality measures are: (1) CatheterAssociated Urinary Tract Infections; and
(2) Pressure Ulcers that are New or Have
Worsened. As discussed in section XIII.
of this final rule, we estimate that IRFs
will incur costs associated with the
collection of these data, which we detail
below.
a. Catheter Associated Urinary Tract
Infections
As stated in section X.C.1. of this final
rule, we collect data on the first quality
measure, Catheter Associated Urinary
Tract Infections, through CDC/NHSN.
We do not currently require IRFs to
report data to NHSN. However, some
IRFs submit data to NHSN either
voluntarily or per State mandate.
According to the CDC, 26 IRFs already
report data to NHSN. We estimate that
1,126 IRFs (1,152 minus the 26 IRFs that
are already reporting data to NHSN) will
incur costs for registering and
completing the necessary training
provided by the CDC in FY 2012 in
preparation for submitting the data
beginning on October 1, 2012 (FY 2013).
We estimate that registering and
completing the necessary training of the
required personnel at each IRF will take
4 hours at a cost of $41.59 per hour, at
an estimated cost per IRF of $166.36 and
a total estimated cost across all IRFs of
$187,321.
Once IRFs begin submitting data to
the NHSN on Catheter Associated
Urinary Tract Infections by October 1,
2012 (FY 2013), they will need to
submit two types of forms in order for
CDC to calculate the CAUTI rate per
1,000 urinary catheter days. We estimate
that the first form, the UTI form, will
take 15 minutes per reporting episode
per IRF and that there will be
approximately 2.25 NHSN submissions
per IRF per month. Based on this
estimate, we expect for each IRF to
expend 33.75 minutes (0.5625 hours)
per month or 405 minutes (6.75 hours)
per year reporting to NHSN. The
estimated annual burden to all IRFs in
the U.S. for reporting to NHSN is 7,776
hours. The estimated yearly cost per IRF
is $186.15 and the estimated total yearly
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cost across all IRFs is $214,445. While
CDC estimates that the second form, the
denominator form used to count daily
the number of patients with an
indwelling catheter device, will take 5
hours per month to complete, we
estimate that it will take 2.5 hours per
form per IRF per month as the number
of patients with an indwelling catheter
is the only part of this form that IRFs
will be required to complete. We
anticipate that there will be one form
submitted per IRF per month and each
IRF will expend 150 minutes (2.5 hours)
per month and 1,800 minutes (30 hours)
per year reporting to NHSN. The
estimated annual burden to all IRFs in
the U.S. for reporting to NHSN is 34,560
hours. The estimated cost per IRF is
$1,247.70 per year and the estimated
total yearly cost across all IRFs is
$1,437,350. These costs are estimated
using an hourly wage for a Registered
Nurse of $41.59 and a Medical Billing
Clerk/Data Entry person of $20.57.
b. Pressure Ulcers That Are New or
Have Worsened
As stated in section X.C.2 of this final
rule, we modified the IRF–PAI by
removing the items previously in the
‘‘Quality Indicators’’ section and
replacing them with pressure ulcer
items similar to elements from the MDS
3.0 nursing home instrument. Since all
IRFs are already required to complete
and transmit IRF–PAIs on all Medicare
Part A fee-for-service and Medicare Part
C (Medicare Advantage) to receive
payment from Medicare, and since the
number of IRFs submitting claims to
Medicare has remained stable over the
past several years, we do not estimate
that there are any IRFs that will need to
conduct additional training or set-up for
completing and transmitting the IRF–
PAI. Thus, we do not estimate any
additional cost to IRFs in FY 2012 for
these activities. While IRFs are already
transmitting the IRF–PAI form to CMS,
we do not estimate any additional
transmission costs associated with the
proposed IRF quality reporting program.
Further, we do not estimate any
additional burden for IRFs to complete
an IRF–PAI with mandatory quality
measures as the IRF–PAI previously
contained a voluntary ‘‘Quality
Indicators’’ section, which we replaced
with the pressure ulcer question set.
When the original burden estimates
were completed for the IRF–PAI, we
estimated that the ‘‘Quality Indicators’’
section of the IRF–PAI would take about
10 minutes to complete, and we
assumed that all IRFs would complete
the Quality Indicators items, even
though completion of this section was
voluntary. Thus, removing the Quality
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Indicators items from the IRF–PAI
decreases the total estimated burden of
completing each IRF–PAI by about 10
minutes. However, we estimate that it
will take about 10 minutes to complete
the new pressure ulcer item that we are
requiring IRFs to complete as part of the
new IRF quality reporting program.
Since the time to complete the items
that we are removing from the IRF–PAI
is the same as the time to complete the
new items we are adding, we estimate
no net change in the amount of time or
the costs associated with completing
each IRF–PAI.
5. Alternatives Considered
Although we have determined that
this final rule will not have a significant
economic impact on a substantial
number of small entities, we have
voluntarily prepared a discussion on the
alternatives considered to the IRF PPS.
Section 1886(j)(3)(C) of the Act
requires the Secretary to update the IRF
PPS payment rates by an increase factor
that reflects changes over time in the
prices of an appropriate mix of goods
and services included in the covered
IRF services. Thus, we did not consider
alternatives to updating payments using
the estimated RPL market basket
increase factor for FY 2012. In this final
rule, we rebase the RPL market basket
for FY 2012, as we typically do every 5
to 7 years, from a 2002 base year to a
2008 base year. We considered not
rebasing the RPL market basket for FY
2012; however, periodically rebasing the
RPL market basket ensures that it
continues to reflect the most accurate
account of the cost of relevant goods
and services. In accordance with the
recently amended section 1886(j)(3)(C)
of the Act, we are updating IRF Federal
prospective payments in this final rule
by 1.8 percent (which equals the 2.9
percent estimated rebased RPL market
basket increase factor for FY 2012
reduced by 0.1 percentage point, as
required by sections 1886(j)(3)(C)(ii)(II)
and 1886(j)(3)(D)(ii) of the Act, and
reduced by a 1.0 percent productivity
adjustment as required by section
1886(j)(3)(C)(ii)(I) of the Act).
We considered maintaining the
existing CMG relative weights and
average length of stay values for FY
2012. 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 update
the CMG relative weights and average
length of stay values at this time to
ensure that IRF PPS payments continue
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to reflect as accurately as possible the
current costs of care in IRFs.
We considered adjusting the facilitylevel adjustments (the rural, LIP, and
teaching status adjustment) for FY 2012
using updated data and a revised
methodology that would remove a
weighting factor from the regression
analysis that we believe is no longer
appropriate. However, we found that the
proposed changes to the adjustment
factors would cause unusually large
reductions in payment for some
facilities that are not clearly justified.
Thus, we are freezing the IRF facilitylevel adjustment factors at FY 2011
levels for FY 2012 while we continue to
study the underlying anomalies in the
data that may be causing some of the
instability in the facility-level
adjustments and analyze the most
appropriate methodology to use to
update the facility-level adjustment
factors.
We considered maintaining the
existing outlier threshold amount for FY
2012. However, the update to the outlier
threshold amount will have a positive
impact on IRF providers and, therefore,
on small entities (as shown in Table 14,
column 4). If we were to maintain the
FY 2011 outlier threshold amount,
fewer outlier cases would qualify for the
additional outlier payments in FY 2012.
Analysis of updated FY 2010 data
indicates that estimated outlier
payments would not equal 3 percent of
estimated total payments for FY 2012
unless we update the outlier threshold
amount. Thus, we believe that this
update is appropriate for FY 2012.
6. Accounting Statement
As required by OMB Circular A–4
(available at https://
www.whitehouse.gov/omb/circulars/
a004/a-4.pdf), in Table 15, we have
prepared an accounting statement
showing the classification of the
transfers associated with the provisions
of this final rule. This table provides our
best estimate of the increase in Medicare
payments under the IRF PPS as a result
of the changes presented in this final
rule based on the data for 1,152 IRFs in
our database.
TABLE 15—ACCOUNTING STATEMENT:
CLASSIFICATION
OF
ESTIMATED
TRANSFERS, FROM THE 2011 IRF
PPS FISCAL YEAR TO THE 2012 IRF
PPS FISCAL YEAR
Category
Annualized Monetized
Transfers.
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TABLE 15—ACCOUNTING STATEMENT:
CLASSIFICATION
OF
ESTIMATED
TRANSFERS, FROM THE 2011 IRF
PPS FISCAL YEAR TO THE 2012 IRF
PPS FISCAL YEAR—Continued
Category
From Whom to
Whom?
Transfers
Federal Government
to IRF Medicare
Providers.
7. Conclusion
Overall, the estimated payments per
discharge for IRFs in FY 2012 are
projected to increase by 2.2 percent,
compared with those in FY 2011, as
reflected in column 8 of Table 14. IRF
payments are estimated to increase 2.1
percent in urban areas and 3.2 percent
in rural areas, per discharge, compared
with FY 2011. Payments to
rehabilitation units in hospitals in urban
areas are estimated to increase 2.3
percent per discharge. Payments to
freestanding rehabilitation hospitals in
urban areas are estimated to increase 1.9
percent per discharge. Payments to
rehabilitation units in hospitals in rural
areas are estimated to increase 3.2
percent per discharge, while payments
to freestanding rehabilitation hospitals
in rural areas are estimated to increase
3.5 percent per discharge.
Overall, the largest payment increase
is estimated at 4.1 percent for rural
government-owned IRFs and rural IRFs
in the West South Central region. We
are not estimating any payment
decreases for FY 2012.
mstockstill on DSK4VPTVN1PROD with RULES3
B. Regulatory Flexibility Act Analysis
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 nonprofit
status or by having revenues of $34.5
million in any 1 year. (For details, see
the Small Business Administration’s
Web site at https://ecfr.gpoaccess.gov/
cgi/t/text/text-idx?c=ecfr&sid=2465b
064ba6965cc1fbd2eae60854b11&rgn=
div8&view=text&node=13:1.0.1.1.16.1.
266.9&idno=13) (refer to subsector 622).
Because we lack data on individual
hospital receipts, we cannot determine
the number of small proprietary IRFs or
the proportion of IRFs’ revenue that is
derived from Medicare payments.
Therefore, we assume that all IRFs (an
estimated 1,152 IRFs that are in our
analysis file, of which approximately 60
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percent are nonprofit facilities) are
considered small entities and that
Medicare payment constitutes the
majority of their revenues. The HHS
generally uses a revenue or cost impact
of 3 to 5 percent as a significance
threshold under the RFA. There is no
negative estimated impact as a result of
this final rule that is within the
significance threshold of 3 to 5 percent.
As shown in Table 14, we estimate that
the net revenue impact of this final rule
on all IRFs is to increase estimated
payments by about 2.2 percent, with an
estimated increase in payments of 3
percent or higher for some categories of
IRFs (such as both freestanding
rehabilitation hospitals located in rural
areas and rehabilitation units in
hospitals located in rural areas, rural
government-owned IRFS and rural IRFs
in the New England, Mid-Atlantic, East
South Central, and West South Central)
and no estimated decreases in payment.
Therefore, we estimate that all IRFs will
experience a net positive increase in
payments. As a result, the Secretary has
determined that this final rule will not
have a significant impact on a
substantial number of small entities. We
present, in the Alternatives Considered
section XIV.A.5 of this final rule, an
analysis of the alternatives we
considered for this final IRF PPS rule.
Medicare fiscal intermediaries and
carriers 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 RIA 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 MSA and has fewer
than 100 beds. Based on the data of the
175 rural units and 20 rural hospitals in
our database of 1,152 IRFs, we estimate
that small rural IRF hospitals will
receive between 2.4 percent and 4.1
percent higher net payments in FY 2012
due to the provisions in this final rule,
with no rural IRF hospitals estimated to
receive negative net payments. Thus,
the Secretary has determined that the
rates and policies set forth in this final
rule will not have a significant impact
on the operations of a substantial
number of small rural hospitals.
C. Unfunded Mandates Reform Act
Analysis
Section 202 of the Unfunded
Mandates Reform Act of 1995 also
requires that agencies assess anticipated
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costs and benefits before issuing any
rule whose mandates require spending
in any one year of $100 million in 1995
dollars, updated annually for inflation.
In 2011, that threshold level is
approximately $136 million. This final
rule will not impose spending costs on
State, local, or Tribal governments, in
the aggregate, or by the private sector, of
$136 million.
XV. Federalism Analysis
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.
This final rule will have no substantial
direct effect on State and local
governments, preempt State law, or
otherwise have Federalism implications.
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 Centers for Medicare &
Medicaid Services amends 42 CFR
chapter IV as follows:
PART 412—PROSPECTIVE PAYMENT
SYSTEMS FOR INPATIENT HOSPITAL
SERVICES
1. The authority citation for part 412
continues to read as follows:
■
Authority: Sections 1102, 1862, and 1871
of the Social Security Act (42 U.S.C. 1302,
1395y, and 1395hh).
Subpart B—Hospital Services Subject
to and Excluded From the Prospective
Payment Systems for Inpatient
Operating Costs and Inpatient CapitalRelated Costs
2. Section 412.23 is amended by
revising paragraph (b) to read as follows:
■
§ 412.23 Excluded hospitals:
Classifications.
*
*
*
*
*
(b) Rehabilitation hospitals. A
rehabilitation hospital or unit must meet
the requirements specified in § 412.29 of
this subpart to be excluded from the
prospective payment systems specified
in § 412.1(a)(1) of this subpart and to be
paid under the prospective payment
system specified in § 412.1(a)(3) of this
subpart and in subpart P of this part.
*
*
*
*
*
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3. Section 412.25 is amended by
revising paragraphs (b) and (e)(2)(ii)(A)
to read as follows:
■
§ 412.25 Excluded hospital units: Common
requirements.
*
*
*
*
*
(b) Changes in the size of excluded
units. Except in the special cases noted
at the end of this paragraph, changes in
the number of beds or square footage
considered to be part of an excluded
unit under this section are allowed one
time during a cost reporting period if
the hospital notifies its Medicare
contractor and the CMS RO in writing
of the planned change at least 30 days
before the date of the change. The
hospital must maintain the information
needed to accurately determine costs
that are attributable to the excluded
unit. A change in bed size or a change
in square footage may occur at any time
during a cost reporting period and must
remain in effect for the rest of that cost
reporting period. Changes in bed size or
square footage may be made at any time
if these changes are made necessary by
relocation of a unit to permit
construction or renovation necessary for
compliance with changes in Federal,
State, or local law affecting the physical
facility or because of catastrophic events
such as fires, floods, earthquakes, or
tornadoes.
*
*
*
*
*
(e) * * *
(2) * * *
(ii) * * *
(A) For a rehabilitation unit, the
requirements under § 412.29 of this
subpart; or
*
*
*
*
*
■ 4. Section 412.29 is revised to read as
follows:
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§ 412.29 Classification criteria for payment
under the inpatient rehabilitation facility
prospective payment system.
To be excluded from the prospective
payment systems described in
§ 412.1(a)(1) and to be paid under the
prospective payment system specified
in § 412.1(a)(3), an inpatient
rehabilitation hospital or an inpatient
rehabilitation unit of a hospital
(otherwise referred to as an IRF) must
meet the following requirements:
(a) Have (or be part of a hospital that
has) a provider agreement under part
489 of this chapter to participate as a
hospital.
(b) Except in the case of a ‘‘new’’ IRF
or ‘‘new’’ IRF beds, as defined in
paragraph (c) of this section, an IRF
must show that, during its most recent,
consecutive, and appropriate 12-month
time period (as defined by CMS or the
Medicare contractor), it served an
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inpatient population that meets the
following criteria:
(1) For cost reporting periods
beginning on or after July 1, 2004, and
before July 1, 2005, the IRF served an
inpatient population of whom at least
50 percent, and for cost reporting
periods beginning on or after July 1,
2005, the IRF served an inpatient
population of whom at least 60 percent
required intensive rehabilitation
services for treatment of one or more of
the conditions specified at paragraph
(b)(2) of this section. A patient with a
comorbidity, as defined at § 412.602 of
this part, may be included in the
inpatient population that counts toward
the required applicable percentage if—
(i) The patient is admitted for
inpatient rehabilitation for a condition
that is not one of the conditions
specified in paragraph (b)(2) of this
section;
(ii) The patient has a comorbidity that
falls in one of the conditions specified
in paragraph (b)(2) of this section; and
(iii) The comorbidity has caused
significant decline in functional ability
in the individual that, even in the
absence of the admitting condition, the
individual would require the intensive
rehabilitation treatment that is unique to
inpatient rehabilitation facilities paid
under subpart P of this part and that
cannot be appropriately performed in
another care setting covered under this
title.
(2) List of conditions.
(i) Stroke.
(ii) Spinal cord injury.
(iii) Congenital deformity.
(iv) Amputation.
(v) Major multiple trauma.
(vi) Fracture of femur (hip fracture).
(vii) Brain injury.
(viii) Neurological disorders,
including multiple sclerosis, motor
neuron diseases, polyneuropathy,
muscular dystrophy, and Parkinson’s
disease.
(ix) Burns.
(x) Active, polyarticular rheumatoid
arthritis, psoriatic arthritis, and
seronegative arthropathies resulting in
significant functional impairment of
ambulation and other activities of daily
living that have not improved after an
appropriate, aggressive, and sustained
course of outpatient therapy services or
services in other less intensive
rehabilitation settings immediately
preceding the inpatient rehabilitation
admission or that result from a systemic
disease activation immediately before
admission, but have the potential to
improve with more intensive
rehabilitation.
(xi) Systemic vasculidities with joint
inflammation, resulting in significant
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functional impairment of ambulation
and other activities of daily living that
have not improved after an appropriate,
aggressive, and sustained course of
outpatient therapy services or services
in other less intensive rehabilitation
settings immediately preceding the
inpatient rehabilitation admission or
that result from a systemic disease
activation immediately before
admission, but have the potential to
improve with more intensive
rehabilitation.
(xii) Severe or advanced osteoarthritis
(osteoarthrosis or degenerative joint
disease) involving two or more major
weight bearing joints (elbow, shoulders,
hips, or knees, but not counting a joint
with a prosthesis) with joint deformity
and substantial loss of range of motion,
atrophy of muscles surrounding the
joint, significant functional impairment
of ambulation and other activities of
daily living that have not improved after
the patient has participated in an
appropriate, aggressive, and sustained
course of outpatient therapy services or
services in other less intensive
rehabilitation settings immediately
preceding the inpatient rehabilitation
admission but have the potential to
improve with more intensive
rehabilitation. (A joint replaced by a
prosthesis no longer is considered to
have osteoarthritis, or other arthritis,
even though this condition was the
reason for the joint replacement.)
(xiii) Knee or hip joint replacement,
or both, during an acute hospitalization
immediately preceding the inpatient
rehabilitation stay and also meet one or
more of the following specific criteria:
(A) The patient underwent bilateral
knee or bilateral hip joint replacement
surgery during the acute hospital
admission immediately preceding the
IRF admission.
(B) The patient is extremely obese
with a Body Mass Index of at least 50
at the time of admission to the IRF.
(C) The patient is age 85 or older at
the time of admission to the IRF.
(c) In the case of new IRFs (as defined
in paragraph (c)(1) of this section) or
new IRF beds (as defined in paragraph
(c)(2)of this section), the IRF must
provide a written certification that the
inpatient population it intends to serve
meets the requirements of paragraph (b)
of this section. This written certification
will apply until the end of the IRF’s first
full 12-month cost reporting period or,
in the case of new IRF beds, until the
end of the cost reporting period during
which the new beds are added to the
IRF.
(1) New IRFs. An IRF hospital or IRF
unit is considered new if it has not been
paid under the IRF PPS in subpart P of
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this part for at least 5 calendar years. A
new IRF will be considered new from
the point that it first participates in
Medicare as an IRF until the end of its
first full 12-month cost reporting period.
(2) New IRF beds. Any IRF beds that
are added to an existing IRF must meet
all applicable State Certificate of Need
and State licensure laws. New IRF beds
may be added one time at any point
during a cost reporting period and will
be considered new for the rest of that
cost reporting period. A full 12-month
cost reporting period must elapse
between the delicensing or
decertification of IRF beds in an IRF
hospital or IRF unit and the addition of
new IRF beds to that IRF hospital or IRF
unit. Before an IRF can add new beds,
it must receive written approval from
the appropriate CMS RO, so that the
CMS RO can verify that a full 12-month
cost reporting period has elapsed since
the IRF has had beds delicensed or
decertified. New IRF beds are included
in the compliance review calculations
under paragraph (b) of this section from
the time that they are added to the IRF.
(3) Change of ownership or leasing.
An IRF hospital or IRF unit that
undergoes a change of ownership or
leasing, as defined in § 489.18 of this
chapter, retains its excluded status and
will continue to be paid under the
prospective payment system specified
in § 412.1(a)(3) before and after the
change of ownership or leasing if the
new owner(s) of the IRF accept
assignment of the previous owners’
Medicare provider agreement and the
IRF continues to meet all of the
requirements for payment under the IRF
prospective payment system. If the new
owner(s) do not accept assignment of
the previous owners’ Medicare provider
agreement, the IRF is considered to be
voluntarily terminated and the new
owner(s) may re-apply to participate in
the Medicare program. If the IRF does
not continue to meet all of the
requirements for payment under the IRF
prospective payment system, then the
IRF loses its excluded status and is paid
according to the prospective payment
systems described in § 412.1(a)(1).
(4) Mergers. If an IRF hospital (or a
hospital with an IRF unit) merges with
another hospital and the owner(s) of the
merged hospital accept assignment of
the IRF hospital’s provider agreement
(or the provider agreement of the
hospital with the IRF unit), then the IRF
hospital or IRF unit retains its excluded
status and will continue to be paid
under the prospective payment system
specified in § 412.1(a)(3) before and
after the merger, as long as the IRF
hospital or IRF unit continues to meet
all of the requirements for payment
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under the IRF prospective payment
system. If the owner(s) of the merged
hospital do not accept assignment of the
IRF hospital’s provider agreement (or
the provider agreement of the hospital
with the IRF unit), then the IRF hospital
or IRF unit is considered voluntarily
terminated and the owner(s) of the
merged hospital may reapply to the
Medicare program to operate a new IRF.
(d) Have in effect a preadmission
screening procedure under which each
prospective patient’s condition and
medical history are reviewed to
determine whether the patient is likely
to benefit significantly from an intensive
inpatient hospital program. This
procedure must ensure that the
preadmission screening is reviewed and
approved by a rehabilitation physician
prior to the patient’s admission to the
IRF.
(e) Have in effect a procedure to
ensure that patients receive close
medical supervision, as evidenced by at
least 3 face-to-face visits per week by a
licensed physician with specialized
training and experience in inpatient
rehabilitation 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.
(f) Furnish, through the use of
qualified personnel, rehabilitation
nursing, physical therapy, and
occupational therapy, plus, as needed,
speech-language pathology, social
services, psychological services
(including neuropsychological services),
and orthotic and prosthetic services.
(g) Have a director of rehabilitation
who—
(1) Provides services to the IRF
hospital and its inpatients on a full-time
basis or, in the case of a rehabilitation
unit, at least 20 hours per week;
(2) Is a doctor of medicine or
osteopathy;
(3) Is licensed under State law to
practice medicine or surgery; and
(4) Has had, after completing a oneyear hospital internship, at least 2 years
of training or experience in the medicalmanagement of inpatients requiring
rehabilitation services.
(h) Have a plan of treatment for each
inpatient that is established, reviewed,
and revised as needed by a physician in
consultation with other professional
personnel who provide services to the
patient.
(i) Use a coordinated interdisciplinary
team approach in the rehabilitation of
each inpatient, as documented by the
periodic clinical entries made in the
patient’s medical record to note the
patient’s status in relationship to goal
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attainment and discharge plans, and
that team conferences are held at least
once per week to determine the
appropriateness of treatment.
(j) Retroactive adjustments. If a new
IRF (or new beds that are added to an
existing IRF) are excluded from the
prospective payment systems specified
in § 412.1(a)(1) and paid under the
prospective payment system specified
in § 412.1(a)(3) for a cost reporting
period under paragraph (c) of this
section, but the inpatient population
actually treated during that period does
not meet the requirements of paragraph
(b) of this section, we adjust payments
to the IRF retroactively in accordance
with the provisions in § 412.130.
§ 412.30
[Removed and Reserved]
5. Section 412.30 is removed and
reserved.
■
Subpart P—Prospective Payment for
Inpatient Rehabilitation Hospitals and
Rehabilitation Units
6. Section 412.624 is amended by
A. Redesignating paragraph (c)(4) as
paragraph (c)(5).
■ B. Adding a new paragraph (c)(4).
The addition reads as follows:
■
■
§ 412.624 Methodology for calculating the
Federal prospective payment rates.
*
*
*
*
*
(c) * * *
(4) Applicable increase factor for FY
2014 and for subsequent FY. Subject to
the provisions of paragraphs (c)(4)(i)
and (c)(4)(ii) of this section, the
applicable increase factor for FY 2014
and for subsequent years for updating
the standard payment conversion factor
is the increase factor described in
paragraph (a)(3) of this section,
including adjustments described in
paragraph (d) of this section as
appropriate.
(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
the form and manner specified by CMS,
the applicable increase factor specified
in paragraph (a)(3) of this section is
reduced by 2 percentage points.
(ii) Any reduction of the increase
factor will apply only to the fiscal year
involved and will not be taken into
account in computing the applicable
increase factor for a subsequent fiscal
year.
*
*
*
*
*
Authority: (Catalog of Federal Domestic
Assistance Program No. 93.773, Medicare—
Hospital Insurance; and Program No. 93.774,
Medicare—Supplementary Medical
Insurance Program)
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Dated: July 21, 2011.
Donald M. Berwick,
Administrator, Centers for Medicare &
Medicaid Services.
Approved: July 27, 2011.
Kathleen Sebelius,
Secretary, Health and Human Services.
The following addendum will not
appear in the Code of Federal
Regulations.
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Agencies
[Federal Register Volume 76, Number 151 (Friday, August 5, 2011)]
[Rules and Regulations]
[Pages 47836-47915]
From the Federal Register Online via the Government Printing Office [www.gpo.gov]
[FR Doc No: 2011-19516]
[[Page 47835]]
Vol. 76
Friday,
No. 151
August 5, 2011
Part III
Department of Health and Human Services
-----------------------------------------------------------------------
Centers for Medicare & Medicaid Services
-----------------------------------------------------------------------
42 CFR Part 412
Medicare Program; Inpatient Rehabilitation Facility Prospective Payment
System for Federal Fiscal Year 2012; Changes in Size and Square Footage
of Inpatient Rehabilitation Units and Inpatient Psychiatric Units;
Final Rule
Federal Register / Vol. 76 , No. 151 / Friday, August 5, 2011 / Rules
and Regulations
[[Page 47836]]
-----------------------------------------------------------------------
DEPARTMENT OF HEALTH AND HUMAN SERVICES
Centers for Medicare & Medicaid Services
42 CFR Part 412
[CMS-1349-F]
RIN 0938-AQ28
Medicare Program; Inpatient Rehabilitation Facility Prospective
Payment System for Federal Fiscal Year 2012; Changes in Size and Square
Footage of Inpatient Rehabilitation Units and Inpatient Psychiatric
Units
AGENCY: Centers for Medicare & Medicaid Services (CMS), HHS.
ACTION: Final rule.
-----------------------------------------------------------------------
SUMMARY: This final rule will implement section 3004 of the Affordable
Care Act, which establishes a new quality reporting program that
provides for a 2 percent reduction in the annual increase factor
beginning in 2014 for failure to report quality data to the Secretary
of Health and Human Services. This final rule will also update the
prospective payment rates for inpatient rehabilitation facilities
(IRFs) for Federal fiscal year (FY) 2012 (for discharges occurring on
or after October 1, 2011 and on or before September 30, 2012) as
required under section 1886(j)(3)(C) of the Social Security Act (the
Act). Section 1886(j)(5) of the Act requires the Secretary to publish
in the Federal Register on or before the August 1 that precedes the
start of each FY the classification and weighting factors for the IRF
prospective payment system (PPS) case-mix groups and a description of
the methodology and data used in computing the prospective payment
rates for that fiscal year. We are also consolidating, clarifying, and
revising existing policies regarding IRF hospitals and IRF units of
hospitals to eliminate unnecessary confusion and enhance consistency.
Furthermore, in accordance with the general principles of the
President's January 18, 2011 Executive Order entitled ``Improving
Regulation and Regulatory Review,'' we are amending existing regulatory
provisions regarding ''new'' facilities and changes in the bed size and
square footage of IRFs and inpatient psychiatric facilities (IPFs) to
improve clarity and remove obsolete material.
DATES: Effective Date: This final rule becomes effective on October 1,
2011.
FOR FURTHER INFORMATION CONTACT:
Gwendolyn Johnson, (410) 786-6954, for general information about the
final rule.
Hillary Loeffler, (410) 786-0456, for information about the payment
rates.
Susanne Seagrave, (410) 786-0044, for information about the payment
policies.
Judith C. Tobin, (410) 786-6892, for information about the quality
reporting program.
SUPPLEMENTARY INFORMATION:
Table of Contents
To assist readers in referencing sections contained in this
document, we are providing the following table of contents.
I. Background
A. Historical Overview of the Inpatient Rehabilitation Facility
Prospective Payment System (IRF PPS)
B. Provisions of the Affordable Care Act Affecting the IRF PPS
in FY 2012 and Beyond
C. Operational Overview of the Current IRF PPS
II. Summary of Provisions of the Proposed Rule
A. Proposed Updates to the IRF Federal Prospective Payment Rates
for Federal Fiscal Year (FY) 2012
B. Proposed Revisions to Existing Regulation Text
III. Analysis and Responses to Public Comments
IV. Update to the Case-Mix Group (CMG) Relative Weights and Average
Length of Stay Values for FY 2012
V. Updates to the Facility-Level Adjustment Factors for FY 2012
A. Updates to the IRF Facility-Level Adjustment Factors
B. Policy for Temporary Cap Adjustments To Reflect Interns and
Residents Displaced Due to Closure of IRFs or IRF Residency Training
Programs
1. Background
2. FTE Intern and Resident Temporary Cap Adjustment
3. Temporary Adjustment to the FTE Cap To Reflect Interns and
Residents Displaced Due to IRF Closure
4. Temporary Adjustment to the FTE Cap To Reflect Interns and
Residents Displaced Due to a Residency Program Closure
VI. FY 2012 IRF PPS Federal Prospective Payment Rates
A. Market Basket Increase Factor, Productivity Adjustment, and
Labor-Related Share for FY 2012
1. Rebasing and Revising of the RPL Market Basket Used for IRF
PPS for FY 2012
2. Productivity Adjustment
3. Calculation of the IRF PPS Market Basket Increase Factor for
FY 2012
4. Calculation of the Labor-Related Share for FY 2012
B. Area Wage Adjustment
C. Description of the IRF Standard Conversion Factor and Payment
Rates for FY 2012
D. Example of the Methodology for Adjusting the Federal
Prospective Payment Rates
VII. Update to Payments for High-Cost Outliers Under the IRF PPS
A. Update to the Outlier Threshold Amount for FY 2012
B. Update to the IRF Cost-to-Charge Ratio Ceilings
VIII. Impact of the IPPS Data Matching Process Changes on the IRF
PPS Calculation of the Low-Income Percentage Adjustment Factor
IX. Updates to the Policies in 42 CFR Part 412
A. Consolidation of the Requirements for Rehabilitation
Hospitals and Rehabilitation Units
B. Revisions to the Regulations at Sec. 412.29
C. Revisions to the Requirements for Changes in Bed Size and
Square Footage
D. Revisions To Enhance Consistency Between the IRF Coverage and
Payment Requirements
X. Quality Reporting Program for IRFs
A. Background and Statutory Authority
B. Quality Measures for IRF Quality Reporting Program for FY
2014
1. General
2. Considerations in the Selection of the Quality Measures
3. FY 2014 Measure 1: Healthcare Associated Infection
Measure (HAI): Urinary Catheter-Associated Urinary Tract Infections
(CAUTI)
4. FY 2014 Measure 2: Percent of Patients With Pressure
Ulcers That Are New or Worsened
5. Potential FY 2014 Measure 3: 30-Day Comprehensive
All Cause Risk Standardized Readmission Measure
C. Data Submission Requirements
1. Method of Data Submission for HAI Measure (CAUTI)
2. Method of Data Submission for the Percent of Patients With
New or Worsened Pressure Ulcer Measure.
3. Potential Method of Data Submission for the 30-Day
Comprehensive All-Cause Risk-Standardized Readmission Measure.
D. Public Reporting
E. Quality Measures for Future Consideration for Determination
of Increase Factors for Future Fiscal Year Payments
F. New Regulation Text for the IRF Quality Reporting Program
XI. Miscellaneous Comments
XII. Provisions of the Final Regulations
XIII. Collection of Information Requirements
XIV. Economic Analyses
A. Regulatory Impact Analysis
1. Introduction
2. Statement of Need
3. Overall Impacts
4. Detailed Economic Analysis
5. Alternatives Considered
6. Accounting Statement
7. Conclusion
B. Regulatory Flexibility Act Analysis
C. Unfunded Mandates Reform Act Analysis
XV. Federalism Analysis
Regulation Text
Addendum
Acronyms
To assist the reader, we are listing the acronyms used and their
corresponding meaning in alphabetical order.
[[Page 47837]]
ADC Average Daily Census
AHA American Hospital Association
ASCA Administrative Simplification Compliance Act of 2002, Public
Law 107-105
BBA Balanced Budget Act of 1997, Public Law 105-33
BBRA Medicare, Medicaid, and SCHIP [State Children's Health
Insurance Program] Balanced Budget Refinement Act of 1999, Public
Law 106-113
BEA Bureau of Economic Analysis
BIPA Medicare, Medicaid, and SCHIP [State Children's Health
Insurance Program] Benefits Improvement and Protection Act of 2000,
Public Law 106-554
BLS Bureau of Labor Statistics
CAH Critical Access Hospital
CAUTI Catheter-Associated Urinary Tract Infection
CBSA Core-Based Statistical Area
CDC Centers for Disease Control and Prevention
CCR Cost-to-Charge Ratio
CFR Code of Federal Regulations
CIPI Capital Input Price Index
CMG Case-Mix Group
CMS Centers for Medicare & Medicaid Services
CPI Consumer Price Index
DSH Disproportionate Share Hospital
ECI Employment Cost Index
EHR Electronic Health Record
FI Fiscal Intermediary
FR Federal Register
FTE Full-time Equivalent
FY Federal Fiscal Year
GDP Gross Domestic Product
GME Graduate Medical Education
HAI Healthcare Associated Infection
HHH Hubert H. Humphrey Building
HHS Department of Health and Human Services
HIPAA Health Insurance Portability and Accountability Act of 1996,
Public Law 104-191
HOMER Home Office Medicare Records
IGI IHS Global Insight
IME Indirect Medical Education
I-O Input-Output
IPF Inpatient Psychiatric Facility
IPPS Inpatient Prospective Payment System
IRF Inpatient Rehabilitation Facility
IRF-PAI Inpatient Rehabilitation Facility--Patient Assessment
Instrument
IRF PPS Inpatient Rehabilitation Facility Prospective Payment System
IRVEN Inpatient Rehabilitation Validation and Entry
LTCH Long Term Care Hospital
LIP Low-Income Percentage
LOS Length of Stay
MA Medicare Advantage
MAC Medicare Administrative Contractor
MedPAR Medicare Provider Analysis and Review
MFP Multifactor Productivity
MMSEA Medicare, Medicaid, and SCHIP Extension Act of 2007, Public
Law 110--173
MSA Metropolitan Statistical Area
NAICS North American Industry Classification System
NHSN National Healthcare Safety Network
NQF National Quality Forum
OMB Office of Management and Budget
PLI Professional Liability Insurance
PPI Producer Price Indexes
PPS Prospective Payment System
QM Quality Measure
RFA Regulatory Flexibility Act of 1980, Public Law 96-354
RIA Regulatory Impact Analysis
RIC Rehabilitation Impairment Category
RO Regional Office
RP Rehabilitation and Psychiatric
RPL Rehabilitation, Psychiatric, and Long-Term Care Hospital
SCHIP State Children's Health Insurance Program
SSI Supplemental Security Income
TEFRA Tax Equity and Fiscal Responsibility Act of 1982, Public Law
97-248
I. Background
A. Historical Overview of the Inpatient Rehabilitation Facility
Prospective Payment System (IRF PPS)
Section 4421 of the Balanced Budget Act of 1997 (Pub. L. 105-33,
enacted on August 5, 1997) (BBA), as amended by section 125 of the
Medicare, Medicaid, State Children's Health Insurance Program (SCHIP)
Balanced Budget Refinement Act of 1999 (Pub. L. 106-113, enacted on
November 29, 1999) (BBRA) and by section 305 of the Medicare, Medicaid,
and SCHIP Benefits Improvement and Protection Act of 2000 (Pub. L. 106-
554, enacted on December 21, 2000) (BIPA) provides for the
implementation of a per discharge prospective payment system (PPS)
under section 1886(j) of the Social Security Act (the Act) for
inpatient rehabilitation hospitals and inpatient rehabilitation units
of a hospital (hereinafter referred to as IRFs).
Payments under the IRF PPS encompass inpatient operating and
capital costs of furnishing covered rehabilitation services (that is,
routine, ancillary, and capital costs) but not direct graduate medical
education costs, costs of approved nursing and allied health education
activities, bad debts, and other services or items outside the scope of
the IRF PPS. Although a complete discussion of the IRF PPS provisions
appears in the original FY 2002 IRF PPS final rule (66 FR 41316) and
the FY 2006 IRF PPS final rule (70 FR 47880), we are providing below a
general description of the IRF PPS for fiscal years (FYs) 2002 through
2010.
Under the IRF PPS from FY 2002 through FY 2005, as described in the
FY 2002 IRF PPS final rule (66 FR 41316), the Federal prospective
payment rates were computed across 100 distinct case-mix groups (CMGs).
We constructed 95 CMGs using rehabilitation impairment categories
(RICs), functional status (both motor and cognitive), and age (in some
cases, cognitive status and age may not be a factor in defining a CMG).
In addition, we constructed 5 special CMGs to account for very short
stays and for patients who expire in the IRF.
For each of the CMGs, we developed relative weighting factors to
account for a patient's clinical characteristics and expected resource
needs. Thus, the weighting factors accounted for the relative
difference in resource use across all CMGs. Within each CMG, we created
tiers based on the estimated effects that certain comorbidities would
have on resource use.
We established the Federal PPS rates using a standardized payment
conversion factor (formerly referred to as the budget neutral
conversion factor). For a detailed discussion of the budget neutral
conversion factor, please refer to our FY 2004 IRF PPS final rule (68
FR 45684 through 45685). In the FY 2006 IRF PPS final rule (70 FR
47880), we discussed in detail the methodology for determining the
standard payment conversion factor.
We applied the relative weighting factors to the standard payment
conversion factor to compute the unadjusted Federal prospective payment
rates under the IRF PPS from FYs 2002 through 2005. Within the
structure of the payment system, we then made adjustments to account
for interrupted stays, transfers, short stays, and deaths. Finally, we
applied the applicable adjustments to account for geographic variations
in wages (wage index), the percentage of low-income patients, location
in a rural area (if applicable), and outlier payments (if applicable)
to the IRF's unadjusted Federal prospective payment rates.
For cost reporting periods that began on or after January 1, 2002
and before October 1, 2002, we determined the final prospective payment
amounts using the transition methodology prescribed in section
1886(j)(1) of the Act. Under this provision, IRFs transitioning into
the PPS were paid a blend of the Federal IRF PPS rate and the payment
that the IRF would have received had the IRF PPS not been implemented.
This provision also allowed IRFs to elect to bypass this blended
payment and immediately be paid 100 percent of the Federal IRF PPS
rate. The transition methodology expired as of cost reporting periods
beginning on or after October 1, 2002 (FY 2003), and payments for all
IRFs now consist of 100 percent of the Federal IRF PPS rate.
We established a CMS Web site as a primary information resource for
the IRF PPS. The Web site URL is https://www.cms.gov/InpatientRehabFacPPS/ and may be accessed to download or
[[Page 47838]]
view publications, software, data specifications, educational
materials, and other information pertinent to the IRF PPS.
Section 1886(j) of the Act confers broad statutory authority upon
the Secretary to propose refinements to the IRF PPS. In the FY 2006 IRF
PPS final rule (70 FR 47880) and in correcting amendments to the FY
2006 IRF PPS final rule (70 FR 57166) that we published on September
30, 2005, we finalized a number of refinements to the IRF PPS case-mix
classification system (the CMGs and the corresponding relative weights)
and the case-level and facility-level adjustments. These refinements
included the adoption of the Office of Management and Budget's (OMB)
Core-Based Statistical Area (CBSA) market definitions, modifications to
the CMGs, tier comorbidities, and CMG relative weights, implementation
of a new teaching status adjustment for IRFs, revision and rebasing of
the market basket index used to update IRF payments, and updates to the
rural, low-income percentage (LIP), and high-cost outlier adjustments.
Beginning with the FY 2006 IRF PPS final rule (70 FR 47908 through
47917), the market basket index used to update IRF payments is a market
basket reflecting the operating and capital cost structures for
freestanding IRFs, freestanding inpatient psychiatric facilities
(IPFs), and long-term care hospitals (LTCHs) (hereafter referred to as
the rehabilitation, psychiatric, and long-term care (RPL) market
basket). Any reference to the FY 2006 IRF PPS final rule in this final
rule also includes the provisions effective in the correcting
amendments. For a detailed discussion of the final key policy changes
for FY 2006, please refer to the FY 2006 IRF PPS final rule (70 FR
47880 and 70 FR 57166).
In the FY 2007 IRF PPS final rule (71 FR 48354), we further refined
the IRF PPS case-mix classification system (the CMG relative weights)
and the case-level adjustments, to ensure that IRF PPS payments would
continue to reflect as accurately as possible the costs of care. For a
detailed discussion of the FY 2007 policy revisions, please refer to
the FY 2007 IRF PPS final rule (71 FR 48354).
In the FY 2008 IRF PPS final rule (72 FR 44284), we updated the
Federal prospective payment rates and the outlier threshold, revised
the IRF wage index policy, and clarified how we determine high-cost
outlier payments for transfer cases. For more information on the policy
changes implemented for FY 2008, please refer to the FY 2008 IRF PPS
final rule (72 FR 44284), in which we published the final FY 2008 IRF
Federal prospective payment rates.
After publication of the FY 2008 IRF PPS final rule (72 FR 44284),
section 115 of the Medicare, Medicaid, and SCHIP Extension Act of 2007
(Pub. L. 110-173, enacted on December 29, 2007) (MMSEA), amended
section 1886(j)(3)(C) of the Act to apply a zero percent increase
factor for FYs 2008 and 2009, effective for IRF discharges occurring on
or after April 1, 2008. Section 1886(j)(3)(C) of the Act required the
Secretary to develop an increase factor to update the IRF Federal
prospective payment rates for each FY. Based on the legislative change
to the increase factor, we revised the FY 2008 Federal prospective
payment rates for IRF discharges occurring on or after April 1, 2008.
Thus, the final FY 2008 IRF Federal prospective payment rates that were
published in the FY 2008 IRF PPS final rule (72 FR 44284) were
effective for discharges occurring on or after October 1, 2007 and on
or before March 31, 2008; and the revised FY 2008 IRF Federal
prospective payment rates were effective for discharges occurring on or
after April 1, 2008 and on or before September 30, 2008. The revised FY
2008 Federal prospective payment rates are available on the CMS Web
site at https://www.cms.gov/InpatientRehabFacPPS/07_DataFiles.asp#TopOfPage.
In the FY 2009 IRF PPS final rule (73 FR 46370), we updated the CMG
relative weights, the average length of stay values, and the outlier
threshold; clarified IRF wage index policies regarding the treatment of
``New England deemed'' counties and multi-campus hospitals; and revised
the regulation text in response to section 115 of the MMSEA to set the
IRF compliance percentage at 60 percent (``the 60 percent rule'') and
continue the practice of including comorbidities in the calculation of
compliance percentages. We also applied a zero percent market basket
increase factor for FY 2009 in accordance with section 115 of the
MMSEA. For more information on the policy changes implemented for FY
2009, please refer to the FY 2009 IRF PPS final rule (73 FR 46370), in
which we published the final FY 2009 IRF Federal prospective payment
rates.
In the FY 2010 IRF PPS final rule (74 FR 39762) and in correcting
amendments to the FY 2010 IRF PPS final rule (74 FR 50712) that we
published on October 1, 2009, we updated the Federal prospective
payment rates, the CMG relative weights, the average length of stay
values, the rural, LIP, and teaching status adjustment factors, and the
outlier threshold; implemented new IRF coverage requirements for
determining whether an IRF claim is reasonable and necessary; and
revised the regulation text to require IRFs to submit patient
assessments on Medicare Advantage (MA) (Medicare Part C) patients for
use in the 60 percent rule calculations. Any reference to the FY 2010
IRF PPS final rule in this final rule also includes the provisions
effective in the correcting amendments. For more information on the
policy changes implemented for FY 2010, please refer to the FY 2010 IRF
PPS final rule (74 FR 39762 and 74 FR 50712), in which we published the
final FY 2010 IRF Federal prospective payment rates.
After publication of the FY 2010 IRF PPS final rule (74 FR 39762),
section 3401(d) of the Patient Protection and Affordable Care Act (Pub.
L. 111-148, enacted on March 23, 2010) as amended by section 10319 of
the same Act and by section 1105 of the Health Care and Education
Reconciliation Act of 2010 (Pub. L. 111-152, enacted on March 30, 2010)
(collectively, hereafter referred to as ``The Affordable Care Act''),
amended section 1886(j)(3)(C) of the Act and added section
1886(j)(3)(D) of the Act. Section 1886(j)(3)(C) of the Act requires the
Secretary to estimate a multi-factor productivity adjustment to the
market basket increase factor, and to apply other adjustments as
defined by the Act. The productivity adjustment applies to FYs from
2012 forward. The other adjustments apply to FYs 2010-2019.
Sections 1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(i) of the Act
defined the adjustments that were to be applied to the market basket
increase factors in FYs 2010 and 2011. Under these provisions, the
Secretary was required to reduce the market basket increase factor in
FY 2010 by a 0.25 percentage point adjustment. Notwithstanding this
provision, in accordance with section 3401(p) of the Affordable Care
Act, the adjusted FY 2010 rate was only to be applied to discharges
occurring on or after April 1, 2010. Based on the self-implementing
legislative changes to section 1886(j)(3) of the Act, we adjusted the
FY 2010 Federal prospective payment rates as required, and applied
these rates to IRF discharges occurring on or after April 1, 2010 and
on or before September 30, 2010. Thus, the final FY 2010 IRF Federal
prospective payment rates that were published in the FY 2010 IRF PPS
final rule (74 FR 39762) were used for discharges occurring on or after
October 1, 2009 and on or before March 31, 2010; and the adjusted FY
2010 IRF Federal prospective payment rates applied to discharges
occurring on or
[[Page 47839]]
after April 1, 2010 and on or before September 30, 2010. The adjusted
FY 2010 Federal prospective payment rates are available on the CMS Web
site at https://www.cms.gov/InpatientRehabFacPPS/07_DataFiles.asp#TopOfPage.
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)(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, November 16, 2010) described the required
adjustments to the FY 2011 and FY 2010 IRF PPS Federal prospective
payment rates and outlier threshold amount for IRF discharges occurring
on or after April 1, 2010 and on or before September 30, 2011. It also
updated the FY 2011 Federal prospective payment rates, the CMG relative
weights, and the average length of stay values. Any reference to the FY
2011 IRF PPS notice in this final 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).
B. Provisions of the Affordable Care Act Affecting the IRF PPS in FY
2012 and Beyond
The Affordable Care Act included several provisions that affect the
IRF PPS in FYs 2012 and beyond. In addition to what was discussed
above, section 3401(d) of the Affordable Care Act also added section
1886(j)(3)(C)(ii)(I) of the Act (providing for a ``productivity
adjustment'' for fiscal year 2012 and each subsequent fiscal year). The
productivity adjustment for FY 2012 is discussed in section VI.A.6 of
this final rule, and the 0.1 percentage point reduction is discussed in
section VI.A of this final rule. Section 1886(j)(3)(C)(ii)(II) of the
Act notes that the application of these adjustments to the market
basket update may result in an update that is less than 0.0 for a
fiscal year and in payment rates for a fiscal year being less than
payment rates for the preceding fiscal year.
Section 3004(b) of the Affordable Care Act also addressed the IRF
PPS program. It reassigned the previously-designated section 1886(j)(7)
of the Act to section 1886(j)(8) and inserted a new section 1886(j)(7)
of the Act, which contains new requirements for the Secretary to
establish a quality reporting program for IRFs. Under that program,
data must be submitted in a form and manner, and at a time specified by
the Secretary. Beginning in FY 2014, section 1886(j)(7)(A)(i) of the
Act will require application of a 2 percentage point reduction to the
applicable market basket increase factor for IRFs that fail to comply
with the quality data submission requirements. Application of the 2
percentage point reduction may result in an update that is less than
0.0 for a fiscal year and in payment rates for a fiscal year being less
than payment rates for the preceding fiscal year. Reporting-based
reductions to the market basket increase factor will not be cumulative;
they will only apply for the FY involved.
Under section 1886(j)(7)(D)(i) and (ii) of the Act, the Secretary
is generally required to select quality measures for the IRF quality
reporting program from those that have been endorsed by the consensus-
based entity which holds a performance measurement contract under
section 1890(a) of the Act. This contract is currently held by the
National Quality Forum (NQF). So long as due consideration is given to
measures that have been endorsed or adopted by a consensus-based
organization, section 1886(j)(7)(D)(ii) of the Act authorizes the
Secretary to select non-endorsed measures for specified areas or
medical topics when there are no feasible or practical endorsed
measure(s). Under section 1886(j)(7)(D)(iii) of the Act, the Secretary
is required to publish the measures that will be used in FY 2014 no
later than October 1, 2012.
Section 1886(j)(7)(E) of the Act requires the Secretary to
establish procedures for making the IRF PPS quality reporting data
available to the public. Also, the Secretary must ensure that IRFs have
the opportunity to review any data prior to its release to the public.
Future rulemaking will address these public reporting obligations.
The quality reporting program for IRFs, in accordance with section
1886(j)(7) of the Act, is discussed in detail in section X. of this
final rule.
C. Operational Overview of the Current IRF PPS
As described in the FY 2002 IRF PPS final rule, upon the admission
and discharge of a Medicare Part A fee-for-service patient, the IRF is
required to complete the appropriate sections of a patient assessment
instrument, designated as the Inpatient Rehabilitation Facility-Patient
Assessment Instrument (IRF-PAI). In addition, beginning with IRF
discharges occurring on or after October 1, 2009, the IRF is also
required to complete the appropriate sections of the IRF-PAI upon the
admission and discharge of each Medicare Part C (Medicare Advantage)
patient, as described in the FY 2010 IRF PPS final rule. All required
data must be electronically encoded into the IRF-PAI software product.
Generally, the software product includes patient classification
programming called the GROUPER software. The GROUPER software uses
specific IRF-PAI data elements to classify (or group) patients into
distinct CMGs and account for the existence of any relevant
comorbidities.
The GROUPER software produces a 5-digit CMG number. The first digit
is an alpha-character that indicates the comorbidity tier. The last 4
digits represent the distinct CMG number. Free downloads of the
Inpatient Rehabilitation Validation and Entry (IRVEN) software product,
including the GROUPER software, are available on the CMS Web site at
https://www.cms.gov/InpatientRehabFacPPS/06_Software.asp.
Once a patient is discharged, the IRF submits a Medicare claim as a
Health Insurance Portability and Accountability Act of 1996 (Pub. L.
104-191, enacted on August 21, 1996) (HIPAA) compliant electronic claim
or, if the Administrative Simplification Compliance Act of 2002 (Pub.
L. 107-105, enacted on December 27, 2002) (ASCA) permits, a paper claim
(a UB-04 or a CMS-1450 as appropriate) using the five-digit CMG number
and sends it to the appropriate Medicare fiscal intermediary (FI) or
Medicare
[[Page 47840]]
Administrative Contractor (MAC). Claims submitted to Medicare must
comply with both ASCA and HIPAA. For further discussion of these
requirements, please see the FY 2011 IRF PPS Notice (75 FR 42836 at
42838).
The Medicare FI or 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 new
teaching status adjustment that became effective as of FY 2006, as
discussed in the FY 2006 IRF PPS final rule (70 FR 47880).
II. Summary of Provisions of the Proposed Rule
In the FY 2012 IRF PPS proposed rule (76 FR 24214), we proposed to
update the IRF Federal prospective payment rates, to rebase and revise
the RPL market basket, to implement refinements to the methodologies
for calculating the LIP adjustment, and to establish a new quality
reporting program for IRFs in accordance with section 1886(j)(7) of the
Act. We also proposed to revise existing regulations text for the
purpose of updating and providing greater clarity. These proposals are
as follows:
A. Proposed Updates to the IRF Federal Prospective Payment Rates for
Federal Fiscal Year (FY) 2012
The proposed updates to the IRF Federal prospective payment rates
for FY 2012 are as follows:
Update the FY 2012 IRF PPS relative weights and average
length of stay values using the most current and complete Medicare
claims and cost report data in a budget neutral manner, as discussed in
section III. of the FY 2012 IRF PPS proposed rule (76 FR 24214, 24219
through 24220).
Update the FY 2012 IRF facility-level adjustments (rural,
LIP, and teaching status adjustments) in a budget neutral manner using
the most current and complete Medicare claims and cost report data and
by removing the weighting methodology previously used to analyze the
data, and propose a temporary cap adjustment policy for the teaching
status adjustment to reflect interns and residents displaced due to
closure of IRFs or IRF residency training programs, as discussed in
section IV. of the FY 2012 IRF PPS proposed rule (76 FR 24214, 24226).
Update the FY 2012 IRF PPS payment rates by the proposed
market basket increase factor, based upon the most current data
available, with a 0.1 percentage point reduction as required by
sections 1886(j)(3)(C)(ii)(II) and 1886(j)(3)(D)(ii) of the Act and a
productivity adjustment required by section 1886(j)(3)(C)(ii)(I) of the
Act, as described in section V. of the FY 2012 IRF PPS proposed rule
(76 FR 24214, 24228 through 24241).
Update the wage index and the labor-related share of the
FY 2012 IRF PPS payment rates in a budget neutral manner, as discussed
in section V. of the FY 2012 IRF PPS proposed rule (76 FR 24214, 24241
through 24244).
Calculate the IRF Standard Payment Conversion Factor for
FY 2012, as discussed in section V. of the FY 2012 IRF PPS proposed
rule (76 FR 24214, 24244 through 24245).
Update the outlier threshold amount for FY 2012, as
discussed in section VI. of the FY 2012 IRF PPS proposed rule (76 FR
24214, 24248 through 24249).
Update the cost-to-charge ratio (CCR) ceiling and urban/
rural average CCRs for FY 2012, as discussed in section VI. of the FY
2012 IRF PPS proposed rule 76 (FR 24214, 24249).
Discuss the impact of the Inpatient Prospective Payment
System (IPPS) data matching process changes on the IRF PPS calculation
of the Supplemental Security Income (SSI) ratios used to compute the
IRF LIP adjustment factor, as discussed in section VII. of the FY 2012
IRF PPS proposed rule (76 FR 24214, 24249 through 24250).
Implement the IRF quality reporting program provisions of
section 1886(j)(7) of the Act, as discussed in section IX. of the FY
2012 IRF PPS proposed rule (76 FR 24214, 24252 through 24257).
B. Proposed Revisions to Existing Regulation Text
We proposed to revise the existing requirements at Sec. 412.25(b),
Sec. 412.25(b)(1), Sec. 412.25(b)(2), and Sec. 412.25(b)(3) that
apply to all units that are excluded from the IPPS, as described in
section VIII. of the FY 2012 IRF PPS proposed rule (76 FR 24214, 24250
through 24252). To amend the regulatory reference to conform with the
other proposed changes, we also proposed to revise the existing
requirements at Sec. 412.25(e)(2)(ii)(A). With the exception of Sec.
412.25(e)(2)(ii)(A), the proposed revisions would affect both IRFs and
IPFs.
We also proposed to relocate and revise the existing requirements
at Sec. 412.23(b), Sec. 412.29, and Sec. 412.30 that describe the
requirements for facilities to qualify to receive payment under the IRF
PPS, as described in section VIII. of the FY 2012 IRF PPS proposed rule
(76 FR 24214, 24252).
Finally, we proposed to re-designate the existing paragraph Sec.
412.624(c)(4) as Sec. 412.624(c)(5) and add a new paragraph Sec.
412.624(c)(4) to implement the IRF quality reporting program.
III. Analysis and Responses to Public Comments
We received approximately 46 timely responses, many of which
contained multiple comments on the FY 2012 IRF PPS proposed rule (76 FR
24214) from the public. We received comments from various trade
associations, inpatient rehabilitation facilities, individual
physicians, therapists, clinicians, health care industry organizations,
and health care consulting firms. The following sections, arranged by
subject area, include a summary of the public comments that we
received, and our responses.
IV. Update to the Case-Mix Group (CMG) Relative Weights and Average
Length of Stay Values for FY 2012
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 the FY 2012 proposed rule (76 FR 24214, 24219 through 24225), we
proposed to update the CMG relative weights and average length of stay
values for FY 2012. As required by statute, we always use the most
recent available data to update the CMG relative weights and average
lengths of stay. This ensures that the CMG relative weights and average
length of stay values reflect as accurately as possible the current
costs of care in IRFs. For FY 2012, we proposed to use the FY 2010 IRF
claims and FY 2009 IRF cost report data. These data are the most
current and complete data available at this time. Currently, only a
small portion of the
[[Page 47841]]
FY 2010 IRF cost report data are available for analysis, but the
majority of the FY 2010 IRF claims data are available for analysis.
We proposed to use the same methodology that we have used to update
the CMG relative weights and average length of stay values in the FY
2009 IRF PPS final rule (73 FR 46370), the FY 2010 IRF PPS final rule
(74 FR 39762), and the FY 2011 notice (75 FR 42836).
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 we use to calculate
the CMG relative weights 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 2012 CMG relative weights to the same
average CMG relative weight from the CMG relative weights implemented
in the FY 2011 IRF PPS notice (75 FR 42836).
Consistent with the methodology that we have used to update the IRF
classification system in each instance in the past, we proposed to
update the CMG relative weights for FY 2012 in a way that total
estimated aggregate payments to IRFs for FY 2012 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
2012 CMG relative weights, we use the following steps:
Step 1. Calculate the estimated total amount of IRF PPS payments
for FY 2012 (with no changes to the CMG relative weights).
Step 2. Calculate the estimated total amount of IRF PPS payments
for FY 2012 by applying the changes to the CMG relative weights (as
discussed above).
Step 3. Divide the amount calculated in step 1 by the amount
calculated in step 2 to determine the budget neutrality factor (0.9988)
that would maintain the same total estimated aggregate payments in FY
2012 with and without the changes to the CMG relative weights.
Step 4. Apply the budget neutrality factor (0.9988) to the FY 2011
IRF PPS standard payment amount after the application of the budget-
neutral wage adjustment factor.
In section VI.C. of this final rule, we discuss the use of the
existing methodology to calculate the standard payment conversion
factor for FY 2012.
Note that the budget neutrality factor that we used to update the
CMG relative weights for FY 2012 changed from 0.9989 in the proposed
rule to 0.9988 in this final rule due to the use of updated FY 2010 IRF
claims data in this final rule.
We received 2 comments on the proposed updates to the CMG relative
weights and average length of stay values, which are summarized below.
Comment: One commenter expressed confusion about whether CMS might
have used an ``older'' methodology to calculate the CMG relative
weights in the FY 2011 IRF PPS Notice (75 FR 42836) that differed from
the methodology that CMS used to calculate the CMG relative weights in
the FY 2009 IRF PPS final rule (73 FR 46370), the FY 2010 IRF PPS final
rule (74 FR 39762), or the FY 2012 IRF PPS proposed rule (76 FR 24214).
Response: We used the same methodology to update the CMG relative
weights in the FY 2002 IRF PPS final rule (66 FR 41316), the FY 2006
IRF PPS final rule (70 FR 47880), and the FY 2007 IRF PPS final rule
(71 FR 48354). We did not update the CMG relative weights in the FY
2008 IRF PPS final rule (72 FR 44284). In the FY 2009 IRF PPS final
rule (73 FR 46370), we implemented one change to the methodology which
involved the use of more detailed cost-to-charge ratio (CCR) data from
the cost reports of IRF subprovider units of primary acute care
hospitals, instead of CCR data from the associated primary acute care
hospitals, to calculate IRFs' average costs per case. We have used this
same revised methodology from FY 2009 to update the CMG relative
weights in the FY 2010 IRF PPS final rule (74 FR 39762), the FY 2011
notice (75 FR 42836), and the FY 2012 IRF PPS proposed rule (76 FR
24214). We continue to use the same methodology that was revised in FY
2009 for updating the CMG relative weights in this final rule.
Comment: Two commenters requested that CMS provide more information
about the methodology that we use to calculate the average length of
stay values. One commenter noted that it would be useful for CMS to
provide information on the standard deviations for the average length
of stay values, and another commenter suggested that we reiterate the
purpose of the average length of stay values.
Response: To calculate the average length of stay values for the
proposed and final rules each year, we use the following steps:
Step 1. Sum the lengths of stay for all of the cases in each CMG
and tier using the most current IRF claims data (for this final rule,
we used FY 2010 IRF claims data).
Step 2. Divide the number in step 1 by the number of cases in each
CMG and tier in the most current IRF claims data (for this final rule,
we used FY 2010 IRF claims data) to obtain an average.
Step 3. Use the average length of stay value calculated in step 2
to identify all of the cases in each CMG and tier that would meet the
criteria for payment under the IRF short-stay transfer policy, and
remove those cases from the analysis.
Step 4. Repeat steps 1 through 3 until no additional cases are
identified in step 3 (that is, until all of the cases left in step 3
are ``full CMG'' cases that would not meet the short-stay transfer
policy criteria).
As we have stated in previous rules, 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. The average length of stay values should not be used
to limit a patient's length of stay in an IRF.
At the request of several of the commenters, we have placed the
standard deviations for the proposed average length of stay values from
the FY 2012 IRF PPS proposed rule (76 FR 24214) with the other proposed
rule data files on the IRF PPS Web site at https://www.cms.gov/InpatientRehabFacPPS/07_DataFiles.asp#TopOfPage. We will continue to
provide this information as part of our standard rulemaking files that
we post to the Web site in conjunction with the IRF PPS rules.
Final Decision: After carefully considering all of the comments
that we received on the proposed updates to the CMG relative weights
and average length of stay values, we are implementing the FY 2012
updates to the CMG relative weights and average length of stay values
presented in Table 1 (which are different from the relative weights and
average length of stay values that we had proposed because these final
values are based on analysis of updated FY 2010 IRF claims data).
[[Page 47842]]
Table 1--Relative Weights and Average Length of Stay Values for Case-Mix Groups
--------------------------------------------------------------------------------------------------------------------------------------------------------
Relative weight Average length of stay
CMG CMG Description (M = motor, C = -----------------------------------------------------------------------
cognitive, A = age) Tier 1 Tier 2 Tier 3 None Tier 1 Tier 2 Tier 3 None
--------------------------------------------------------------------------------------------------------------------------------------------------------
0101.......................................... Stroke M > 51.05................ 0.7676 0.7182 0.6451 0.6102 10 10 9 8
0102.......................................... Stroke M > 44.45 and 0.9527 0.8913 0.8007 0.7573 12 13 10 10
M < 51.05 and C > 18.5.........
0103.......................................... Stroke M > 44.45 and 1.1377 1.0644 0.9562 0.9043 14 14 12 12
M< 51.05 and C < 18.5..........
0104.......................................... Stroke M > 38.85 and 1.1819 1.1058 0.9934 0.9395 15 14 13 12
M < 44.45......................
0105.......................................... Stroke M > 34.25 and 1.3733 1.2849 1.1542 1.0916 16 17 14 14
M < 38.85......................
0106.......................................... Stroke M > 30.05 and 1.5815 1.4796 1.3291 1.2571 20 18 16 16
M < 34.25......................
0107.......................................... Stroke M > 26.15 and 1.7906 1.6753 1.5049 1.4233 20 20 18 18
M < 30.05......................
0108.......................................... Stroke M < 26.15 and A > 84.5... 2.2178 2.0749 1.8639 1.7629 31 25 23 22
0109.......................................... Stroke M > 22.35 and 2.0508 1.9188 1.7236 1.6302 24 23 20 20
M < 26.15 and A < 84.5.........
0110.......................................... Stroke M < 22.35 and A < 84.5... 2.6434 2.4731 2.2216 2.1012 33 29 26 25
0201.......................................... Traumatic brain injury 0.7470 0.6132 0.5680 0.5158 8 8 7 8
M > 53.35 and C > 23.5.........
0202.......................................... Traumatic brain injury 1.0613 0.8712 0.8070 0.7327 12 12 10 10
M > 44.25 and M < 53.35........
and C > 23.5...................
0203.......................................... Traumatic brain injury 1.2080 0.9917 0.9185 0.8341 16 11 13 12
M > 44.25 and C < 23.5.........
0204.......................................... Traumatic brain injury 1.2655 1.0388 0.9622 0.8737 16 12 12 12
M > 40.65 and M < 44.25........
0205.......................................... Traumatic brain injury 1.5982 1.3120 1.2152 1.1035 17 18 15 14
M > 28.75 and M < 40.65........
0206.......................................... Traumatic brain injury 1.9895 1.6332 1.5128 1.3736 23 19 19 18
M > 22.05 and M < 28.75........
0207.......................................... Traumatic brain injury 2.6903 2.2085 2.0456 1.8574 35 27 25 22
M < 22.05......................
0301.......................................... Non-traumatic brain injury 1.0576 0.9514 0.8441 0.7730 12 12 11 10
M > 41.05......................
0302.......................................... Non-traumatic brain injury 1.3393 1.2048 1.0689 0.9789 12 15 13 13
M > 35.05 and M < 41.05........
0303.......................................... Non-traumatic brain injury 1.5924 1.4325 1.2709 1.1640 21 17 15 14
M > 26.15 and M < 35.05........
0304.......................................... Non-traumatic brain injury 2.2048 1.9834 1.7596 1.6116 29 23 20 19
M < 26.15......................
0401.......................................... Traumatic spinal cord injury 1.0588 0.8815 0.8019 0.7036 14 14 11 10
M > 48.45......................
0402.......................................... Traumatic spinal cord injury 1.3802 1.1491 1.0453 0.9171 17 14 13 12
M > 30.35 and M < 48.45........
0403.......................................... Traumatic spinal cord injury 2.4659 2.0529 1.8675 1.6386 29 26 23 20
M > 16.05 and M < 30.35........
0404.......................................... Traumatic spinal cord injury 4.3797 3.6461 3.3169 2.9102 52 39 38 35
M < 16.05 and A > 63.5.........
0405.......................................... Traumatic spinal cord injury 3.8686 3.2206 2.9298 2.5706 52 39 36 29
M < 16.05 and A < 63.5.........
0501.......................................... Non-traumatic spinal cord injury 0.6559 0.6297 0.5616 0.4977 10 10 7 7
M > 51.35
0502.......................................... Non-traumatic spinal cord injury 0.9815 0.9423 0.8404 0.7448 13 13 11 10
M > 40.15 and M < 51.35
0503.......................................... Non-traumatic spinal cord injury 1.2460 1.1962 1.0668 0.9455 16 14 13 12
M > 31.25 and M < 40.15
0504.......................................... Non-traumatic spinal cord injury 1.5023 1.4423 1.2863 1.1400 18 16 16 14
M > 29.25 and M < 31.25
0505.......................................... Non-traumatic spinal cord injury 1.7558 1.6856 1.5033 1.3324 20 21 18 17
M > 23.75 and M < 29.25
0506.......................................... Non-traumatic spinal cord injury 2.4607 2.3624 2.1069 1.8673 34 28 24 23
M < 23.75
0601.......................................... Neurological M > 47.75.......... 0.9457 0.7992 0.7289 0.6589 10 11 9 9
0602.......................................... Neurological M > 37.35 and 1.2516 1.0577 0.9648 0.8721 12 13 12 11
M < 47.75......................
0603.......................................... Neurological M > 25.85 and 1.6164 1.3660 1.2460 1.1263 17 16 14 14
M < 37.35......................
0604.......................................... Neurological M < 25.85.......... 2.1432 1.8112 1.6521 1.4934 24 21 19 18
0701.......................................... Fracture of lower extremity 0.8001 0.7877 0.7586 0.6772 10 12 10 9
M > 42.15......................
[[Page 47843]]
0702.......................................... Fracture of lower extremity 1.0470 1.0307 0.9927 0.8861 12 13 12 12
M > 34.15 and M < 42.15........
0703.......................................... Fracture of lower extremity 1.2599 1.2402 1.1945 1.0662 15 15 14 14
M > 28.15 and M < 34.15........
0704.......................................... Fracture of lower extremity 1.6283 1.6029 1.5439 1.3780 18 19 18 17
M < 28.15......................
0801.......................................... Replacement of lower extremity 0.5745 0.5745 0.5354 0.4888 7 8 7 7
joint M > 49.55
0802.......................................... Replacement of lower extremity 0.7725 0.7725 0.7199 0.6573 8 11 9 9
joint M > 37.05 and............
M < 49.55......................
0803.......................................... Replacement of lower extremity 1.0651 1.0651 0.9926 0.9062 11 14 13 12
joint M > 28.65 and............
M < 37.05 and A > 83.5.........
0804.......................................... Replacement of lower extremity 0.9407 0.9407 0.8767 0.8004 10 12 11 10
joint M > 28.65 and............
M < 37.05 and A < 83.5.........
0805.......................................... Replacement of lower extremity 1.1584 1.1584 1.0795 0.9856 11 14 13 13
joint M > 22.05 and............
M < 28.65......................
0806.......................................... Replacement of lower extremity 1.4144 1.4144 1.3181 1.2034 13 18 16 15
joint M < 22.05
0901.......................................... Other orthopedic M > 44.75...... 0.8467 0.7460 0.6751 0.6116 10 10 9 8
0902.......................................... Other orthopedic M > 34.35 and M 1.1324 0.9978 0.9029 0.8180 12 13 12 11
< 44.75
0903.......................................... Other orthopedic M > 24.15 and M 1.4503 1.2779 1.1564 1.0477 16 16 14 13
< 34.35
0904.......................................... Other orthopedic M < 24.15...... 1.8791 1.6557 1.4983 1.3575 21 20 18 17
1001.......................................... Amputation, lower extremity 1.0335 0.9087 0.8119 0.7256 13 12 10 10
M > 47.65......................
1002.......................................... Amputation, lower extremity 1.3571 1.1931 1.0660 0.9528 16 14 13 12
M > 36.25 and M < 47.65........
1003.......................................... Amputation, lower extremity 2.0050 1.7628 1.5750 1.4077 21 21 18 17
M < 36.25......................
1101.......................................... Amputation, non-lower extremity 1.0359 1.0359 0.9826 0.9222 11 11 12 11
M > 36.35
1102.......................................... Amputation, non-lower extremity 1.5586 1.5586 1.4783 1.3875 14 18 16 16
M < 36.35
1201.......................................... Osteoarthritis M > 37.65........ 0.8102 0.8102 0.8104 0.7660 13 13 11 10
1202.......................................... Osteoarthritis M > 30.75 and 1.0564 1.0564 1.0566 0.9987 16 16 14 13
M < 37.65......................
1203.......................................... Osteoarthritis M < 30.75........ 1.3031 1.3031 1.3033 1.2319 13 19 15 15
1301.......................................... Rheumatoid, other arthritis 0.8937 0.9714 0.9714 0.7882 11 10 11 10
M > 36.35......................
1302.......................................... Rheumatoid, other arthritis 1.1769 1.2792 1.2792 1.0379 17 17 14 13
M > 26.15 and M < 36.35........
1303.......................................... Rheumatoid, other arthritis 1.5211 1.6533 1.6533 1.3415 15 19 18 16
M < 26.15......................
1401.......................................... Cardiac M > 48.85............... 0.9411 0.7535 0.6663 0.6026 10 10 9 8
1402.......................................... Cardiac M > 38.55 and 1.2638 1.0118 0.8947 0.8092 13 12 11 10
M < 48.85......................
1403.......................................... Cardiac M > 31.15 and 1.5263 1.2220 1.0806 0.9773 18 14 13 12
M < 38.55......................
1404.......................................... Cardiac M < 31.15............... 1.9770 1.5828 1.3997 1.2659 24 19 16 15
1501.......................................... Pulmonary M > 49.25............. 0.9610 0.8973 0.7734 0.7311 10 11 8 9
1502.......................................... Pulmonary M > 39.05 and 1.2094 1.1293 0.9734 0.9201 13 13 11 11
M < 49.25......................
1503.......................................... Pulmonary M > 29.15 and 1.4914 1.3926 1.2003 1.1346 16 16 13 13
M < 39.05......................
1504.......................................... Pulmonary M < 29.15............. 1.8840 1.7592 1.5163 1.4333 22 18 17 16
1601.......................................... Pain syndrome M > 37.15......... 1.1177 0.8798 0.7721 0.7217 12 12 10 10
1602.......................................... Pain syndrome M > 26.75 and M < 1.4972 1.1785 1.0342 0.9667 19 13 13 13
37.15
1603.......................................... Pain syndrome M < 26.75......... 1.9348 1.5230 1.3365 1.2493 22 18 16 15
1701.......................................... Major multiple trauma without 1.0436 0.9289 0.8430 0.7369 10 11 11 10
brain or spinal cord injury
M > 39.25......................
1702.......................................... Major multiple trauma without 1.3771 1.2256 1.1123 0.9723 13 15 14 13
brain or spinal cord injury
M > 31.05 and M < 39.25........
[[Page 47844]]
1703.......................................... Major multiple trauma without 1.6240 1.4454 1.3117 1.1467 15 16 15 15
brain or spinal cord injury
M > 25.55 and M < 31.05........
1704.......................................... Major multiple trauma without 2.0792 1.8505 1.6794 1.4681 26 22 20 18
brain or spinal cord injury
M < 25.55......................
1801.......................................... Major multiple trauma with brain 1.2016 0.9858 0.9517 0.8705 14 15 12 11
or spinal cord injury
M > 40.85......................
1802.......................................... Major multiple trauma with brain 1.6515 1.3548 1.3080 1.1964 18 20 15 15
or spinal cord injury
M > 23.05 and M < 40.85........
1803.......................................... Major multiple trauma with brain 2.8314 2.3228 2.2425 2.0512 34 32 26 24
or spinal cord injury
M < 23.05......................
1901.......................................... Guillain Barre M > 35.95........ 1.1498 1.0129 0.9189 0.8923 13 14 12 12
1902.......................................... Guillain Barre M > 18.05 and 2.1903 1.9296 1.7504 1.6999 22 22 21 21
M < 35.95......................
1903.......................................... Guillain Barre M < 18.05........ 3.6722 3.2351 2.9348 2.8501 48 29 34 32
2001.......................................... Miscellaneous M > 49.15......... 0.8541 0.7547 0.6766 0.6079 9 10 9 8
2002.......................................... Miscellaneous M > 38.75 and M < 1.1431 1.0100 0.9056 0.8136 12 12 11 10
49.15
2003.......................................... Miscellaneous M > 27.85 and M < 1.4435 1.2755 1.1436 1.0274 15 15 13 13
38.75
2004.......................................... Miscellaneous M < 27.85......... 1.9356 1.7104 1.5335 1.3777 24 20 18 16
2101.......................................... Burns M > 0