Medicare Program; Prospective Payment System and Consolidated Billing for Skilled Nursing Facilities for FY 2010; Minimum Data Set, Version 3.0 for Skilled Nursing Facilities and Medicaid Nursing Facilities, 40288-40395 [E9-18662]
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Federal Register / Vol. 74, No. 153 / Tuesday, August 11, 2009 / Rules and Regulations
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Centers for Medicare & Medicaid
Services
42 CFR Part 483
[CMS–1410–F]
RIN 0938–AP46
Medicare Program; Prospective
Payment System and Consolidated
Billing for Skilled Nursing Facilities for
FY 2010; Minimum Data Set, Version
3.0 for Skilled Nursing Facilities and
Medicaid Nursing Facilities
mstockstill on DSKH9S0YB1PROD with RULES2
AGENCY: Centers for Medicare &
Medicaid Services (CMS), HHS.
ACTION: Final rule.
SUMMARY: This final rule updates the
payment rates used under the
prospective payment system (PPS) for
skilled nursing facilities (SNFs), for
fiscal year (FY) 2010. In addition, it
recalibrates the case-mix indexes so that
they more accurately reflect parity in
expenditures related to the
implementation of case-mix refinements
in January 2006. It also discusses the
results of our ongoing analysis of
nursing home staff time measurement
data collected in the Staff Time and
Resource Intensity Verification project,
as well as a new Resource Utilization
Groups, version 4 case-mix
classification model for FY 2011 that
will use the updated Minimum Data Set
3.0 resident assessment for case-mix
classification. In addition, this final rule
discusses the public comments that we
have received on these and other issues,
including a possible requirement for the
quarterly reporting of nursing home
staffing data, as well as on applying the
quality monitoring mechanism in place
for all other SNF PPS facilities to rural
swing-bed hospitals. Finally, this final
rule revises the regulations to
incorporate certain technical
corrections.
DATES: Effective Date: This final rule
becomes effective on October 1, 2009.
FOR FURTHER INFORMATION CONTACT:
Ellen Berry, (410) 786–4528 (for
information related to clinical issues).
Trish Brooks, (410) 786–4561 (for
information related to Resident
Assessment Protocols (RAPs) under the
Minimum Data Set (MDS)). Jeanette
Kranacs, (410) 786–9385 (for
information related to the development
of the payment rates and case-mix
indexes). Abby Ryan, (410) 786–4343
(for information related to the STRIVE
project). Jean Scott, (410) 786–6327 (for
information related to the request for
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comment on the possible quarterly
reporting of nursing home staffing data).
Bill Ullman, (410) 786–5667 (for
information related to level of care
determinations, consolidated billing,
and general information).
SUPPLEMENTARY INFORMATION: To assist
readers in referencing sections
contained in this document, we are
providing the following Table of
Contents.
Table of Contents
I. Background
A. Current System for Payment of SNF
Services Under Part A of the Medicare
Program
B. Requirements of the Balanced Budget
Act of 1997 (BBA) for Updating the
Prospective Payment System for Skilled
Nursing Facilities
C. The Medicare, Medicaid, and SCHIP
Balanced Budget Refinement Act of 1999
(BBRA)
D. The Medicare, Medicaid, and SCHIP
Benefits Improvement and Protection
Act of 2000 (BIPA)
E. The Medicare Prescription Drug,
Improvement, and Modernization Act of
2003 (MMA)
F. Skilled Nursing Facility Prospective
Payment—General Overview
1. Payment Provisions—Federal Rate
2. FY 2010 Rate Updates Using the Skilled
Nursing Facility Market Basket Index
II. Summary of the Provisions of the FY 2010
Proposed Rule
III. Analysis of and Responses to Public
Comments on the FY 2010 Proposed
Rule
A. General Comments on the FY 2010
Proposed Rule
B. Annual Update of Payment Rates Under
the Prospective Payment System for
Skilled Nursing Facilities
1. Federal Prospective Payment System
a. Costs and Services Covered by the
Federal Rates
b. Methodology Used for the Calculation of
the Federal Rates
2. Case-Mix Adjustments
a. Background
b. Development of the Case-Mix Indexes
3. Wage Index Adjustment to Federal Rates
4. Updates to Federal Rates
5. Relationship of RUG–III Classification
System to Existing Skilled Nursing
Facility Level-of-Care Criteria
6. Example of Computation of Adjusted
PPS Rates and SNF Payment
C. Resource Utilization Groups, Version 4
(RUG–IV)
1. Staff Time and Resource Intensity
Verification (STRIVE) Project
a. Data Collection
b. Developing the Analytical Database
i. Concurrent Therapy
ii. Adjustments to STRIVE Therapy
Minutes
iii. ADL Adjustments
iv. ‘‘Look-Back’’ Period
v. Organizing the Nursing and Therapy
Minutes
vi. Data Dissemination
2. The RUG–IV Classification System
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3. Development of the FY 2011 Case-Mix
Indexes
4. Relationship of RUG–IV Classification
System to Existing Skilled Nursing
Facility Level-of-Care Criteria
5. Prospective Payment for SNF
Nontherapy Ancillary Costs
D. Minimum Data Set, Version 3.0 (MDS
3.0)
1. Description of the MDS 3.0
2. MDS Elements, Common Definitions,
and Resident Assessment Protocols
(RAPs) Used Under the MDS
3. Data Submission Requirements Under
the MDS 3.0
4. Proposed Change to Section T of the
Resident Assessment Instrument (RAI)
Under the MDS 3.0
E. Other Issues
1. Invitation of Comments on Possible
Quarterly Reporting of Nursing Home
Staffing Data
2. Miscellaneous Technical Corrections
and Clarifications
F. The Skilled Nursing Facility Market
Basket Index
1. Use of the Skilled Nursing Facility
Market Basket Percentage
2. Market Basket Forecast Error Adjustment
3. Federal Rate Update Factor
G. Consolidated Billing
H. Application of the SNF PPS to SNF
Services Furnished by Swing-Bed
Hospitals; Quality Monitoring of SwingBed Hospitals
IV. Provisions of the Final Rule
V. Collection of Information Requirements
VI. Regulatory Impact Analysis
A. Overall Impact
B. Anticipated Effects
C. Alternatives Considered
D. Accounting Statement
E. Conclusion
Regulation Text
Addendum: FY 2010 CBSA–Based Wage
Index Tables (Tables A & B) RUG–III to
RUG–IV Comparison (Table C)
Abbreviations
In addition, because of the many
terms to which we refer by abbreviation
in this final rule, we are listing these
abbreviations and their corresponding
terms in alphabetical order below:
ADLs Activities of Daily Living
AIDS Acquired Immune Deficiency
Syndrome
AOTA American Occupational Therapy
Association
APTA American Physical Therapy
Association
ARD Assessment Reference Date
ASHA American Speech-Language-Hearing
Association
BBA Balanced Budget Act of 1997, Public
Law 105–33
BBRA Medicare, Medicaid, and SCHIP
Balanced Budget Refinement Act of 1999,
Public Law 106–113
BIMS Brief Interview for Mental Status
BIPA Medicare, Medicaid, and SCHIP
Benefits Improvement and Protection Act
of 2000, Public Law 106–554
CAA Care Area Assessment
CAH Critical Access Hospital
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CAM Confusion Assessment Method
CARE Continuity Assessment Record and
Evaluation
CAT Care Area Trigger
CBSA Core-Based Statistical Area
CFR Code of Federal Regulations
CMI Case-Mix Index
CMS Centers for Medicare & Medicaid
Services
CMSO Center for Medicaid and State
Operations
DRA Deficit Reduction Act of 2005, Public
Law 109–171
DSM–IV Diagnostic and Statistical Manual
of Mental Disorders, 4th Revision
FQHC Federally Qualified Health Center
FR Federal Register
FY Fiscal Year
GAO Government Accountability Office
HCPCS Healthcare Common Procedure
Coding System
HHA Home Health Agency
HIPPS Health Insurance Prospective
Payment System
HIT Health Information Technology
HIV Human Immunodeficiency Virus
IFC Interim Final Rule with Comment
Period
IPPS Hospital Inpatient Prospective
Payment System
IRF Inpatient Rehabilitation Facility
LTCH Long-Term Care Hospital
MAC Medicare Administrative Contractor
MMACS Medicare/Medicaid Automated
Certification System
MDS Minimum Data Set
MIPPA Medicare Improvements for Patients
and Providers Act of 2008, Public Law
110–275
MMA Medicare Prescription Drug,
Improvement, and Modernization Act of
2003, Public Law 108–173
MMSEA Medicare, Medicaid, and SCHIP
Extension Act of 2007, Public Law 110–173
MSA Metropolitan Statistical Area
MS–DRG Medicare Severity DiagnosisRelated Group
NCQA National Committee for Quality
Assurance
NF Nursing Facility
NRST Non-Resident Specific Time
NTA Non-Therapy Ancillary
OIG Office of the Inspector General
OMB Office of Management and Budget
OMRA Other Medicare Required
Assessment
OSCAR Online Survey Certification and
Reporting System
PAC Post-Acute Care
PHQ–9 9-Item Patient Health Questionnaire
PPS Prospective Payment System
QM Quality Measure
RAI Resident Assessment Instrument
RAND RAND Corporation
RAP Resident Assessment Protocol
RAVEN Resident Assessment Validation
Entry
RFA Regulatory Flexibility Act, Public Law
96–354
RHC Rural Health Clinic
RIA Regulatory Impact Analysis
RST Resident Specific Time
RUG–III Resource Utilization Groups,
Version 3
RUG–IV Resource Utilization Groups,
Version 4
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RUG–53 Refined 53-Group RUG–III CaseMix Classification System
SCHIP State Children’s Health Insurance
Program
SNF Skilled Nursing Facility
SOM State Operations Manual
STM Staff Time Measurement
STRIVE Staff Time and Resource Intensity
Verification
TEP Technical Expert Panel
UMRA Unfunded Mandates Reform Act,
Public Law 104–4
I. Background
On May 12, 2009, we published a
proposed rule (74 FR 22208) in the
Federal Register (hereafter referred to as
the FY 2010 proposed rule), setting forth
updates to the payment rates used under
the prospective payment system (PPS)
for skilled nursing facilities (SNFs), for
fiscal year (FY) 2010. Annual updates to
the PPS rates for SNFs are required by
section 1888(e) of the Social Security
Act (the Act), as added by section 4432
of the Balanced Budget Act of 1997
(BBA) (Pub. L. 105–33, enacted on
August 5, 1997), and amended by the
Medicare, Medicaid, and State
Children’s Health Insurance Program
(SCHIP) Balanced Budget Refinement
Act of 1999 (BBRA) (Pub. L. 106–113,
enacted on November 29, 1999), the
Medicare, Medicaid, and SCHIP
Benefits Improvement and Protection
Act of 2000 (BIPA) (Pub. L. 106–554,
enacted on December 21, 2000), and the
Medicare Prescription Drug,
Improvement, and Modernization Act of
2003 (MMA) (Pub. L. 108–173, enacted
on December 8, 2003). Our most recent
annual update occurred in a final rule
(73 FR 46416, August 8, 2008) that set
forth updates to the SNF PPS payment
rates for FY 2009. We subsequently
published a correction notice (73 FR
56998, October 1, 2008) with respect to
those payment rate updates.
A. Current System for Payment of
Skilled Nursing Facility Services Under
Part A of the Medicare Program
Section 4432 of the BBA amended
section 1888 of the Act to provide for
the implementation of a per diem PPS
for SNFs, covering all costs (routine,
ancillary, and capital-related) of covered
SNF services furnished to beneficiaries
under Part A of the Medicare program,
effective for cost reporting periods
beginning on or after July 1, 1998. In
this final rule, we are updating the per
diem payment rates for SNFs for FY
2010. Major elements of the SNF PPS
include:
• Rates. As discussed in section I.F.1
of this final rule, we established per
diem Federal rates for urban and rural
areas using allowable costs from FY
1995 cost reports. These rates also
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included a ‘‘Part B add-on’’ (an estimate
of the cost of those services that, before
July 1, 1998, were paid under Part B but
furnished to Medicare beneficiaries in a
SNF during a Part A covered stay). We
adjust the rates annually using a SNF
market basket index, and we adjust
them by the hospital inpatient wage
index to account for geographic
variation in wages. We also apply a
case-mix adjustment to account for the
relative resource utilization of different
patient types. This adjustment utilizes a
refined, 53-group version of the
Resource Utilization Groups, version 3
(RUG–III) case-mix classification
system, based on information obtained
from the required resident assessments
using the Minimum Data Set (MDS) 2.0.
Additionally, as noted in the final rule
for FY 2006 (70 FR 45028, August 4,
2005), the payment rates at various
times have also reflected specific
legislative provisions, including section
101 of the BBRA, sections 311, 312, and
314 of the BIPA, and section 511 of the
MMA.
• Transition. Under sections
1888(e)(1)(A) and (e)(11) of the Act, the
SNF PPS included an initial, threephase transition that blended a facilityspecific rate (reflecting the individual
facility’s historical cost experience) with
the Federal case-mix adjusted rate. The
transition extended through the
facility’s first three cost reporting
periods under the PPS, up to and
including the one that began in FY
2001. Thus, the SNF PPS is no longer
operating under the transition, as all
facilities have been paid at the full
Federal rate effective with cost reporting
periods beginning in FY 2002. As we
now base payments entirely on the
adjusted Federal per diem rates, we no
longer include adjustment factors
related to facility-specific rates for the
coming FY.
• Coverage. The establishment of the
SNF PPS did not change Medicare’s
fundamental requirements for SNF
coverage. However, because the RUG–III
classification is based, in part, on the
beneficiary’s need for skilled nursing
care and therapy, we have attempted,
where possible, to coordinate claims
review procedures with the existing
resident assessment process and casemix classification system. This
approach includes an administrative
presumption that utilizes a beneficiary’s
initial classification in one of the upper
35 RUGs of the refined 53-group system
to assist in making certain SNF level of
care determinations. In the July 30, 1999
final rule (64 FR 41670), we indicated
that we would announce any changes to
the guidelines for Medicare level of care
determinations related to modifications
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in the RUG–III classification structure
(see section III.B.5 of this final rule for
a discussion of the relationship between
the current case-mix classification
system and SNF level of care
determinations, and section III.C.4 for a
discussion of this process in the context
of the upcoming conversion to version
4 of the RUGs (RUG–IV)).
• Consolidated Billing. The SNF PPS
includes a consolidated billing
provision that requires a SNF to submit
consolidated Medicare bills to its fiscal
intermediary or Medicare
Administrative Contractor for almost all
of the services that its residents receive
during the course of a covered Part A
stay. In addition, this provision places
with the SNF the Medicare billing
responsibility for physical,
occupational, and speech-language
therapy that the resident receives during
a noncovered stay. The statute excludes
a small list of services from the
consolidated billing provision
(primarily those of physicians and
certain other types of practitioners),
which remain separately billable under
Part B when furnished to a SNF’s Part
A resident. A more detailed discussion
of this provision appears in section III.G
of this final rule.
• Application of the SNF PPS to SNF
services furnished by swing-bed
hospitals. Section 1883 of the Act
permits certain small, rural hospitals to
enter into a Medicare swing-bed
agreement, under which the hospital
can use its beds to provide either acute
or SNF care, as needed. For critical
access hospitals (CAHs), Part A pays on
a reasonable cost basis for SNF services
furnished under a swing-bed agreement.
However, in accordance with section
1888(e)(7) of the Act, these services
furnished by non-CAH rural hospitals
are paid under the SNF PPS, effective
with cost reporting periods beginning
on or after July 1, 2002. A more detailed
discussion of this provision appears in
section III.H of this final rule.
B. Requirements of the Balanced Budget
Act of 1997 (BBA) for Updating the
Prospective Payment System for Skilled
Nursing Facilities
Section 1888(e)(4)(H) of the Act
requires that we provide for publication
annually in the Federal Register:
1. The unadjusted Federal per diem
rates to be applied to days of covered
SNF services furnished during the
upcoming FY.
2. The case-mix classification system
to be applied with respect to these
services during the upcoming FY.
3. The factors to be applied in making
the area wage adjustment with respect
to these services.
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Along with other revisions discussed
later in this preamble, this final rule
provides these required annual updates
to the Federal rates.
C. The Medicare, Medicaid, and SCHIP
Balanced Budget Refinement Act of
1999 (BBRA)
There were several provisions in the
BBRA that resulted in adjustments to
the SNF PPS. We described these
provisions in detail in the SNF PPS final
rule for FY 2001 (65 FR 46770, July 31,
2000). In particular, section 101(a) of the
BBRA provided for a temporary 20
percent increase in the per diem
adjusted payment rates for 15 specified
RUG–III groups. In accordance with
section 101(c)(2) of the BBRA, this
temporary payment adjustment expired
on January 1, 2006, upon the
implementation of case-mix refinements
(see section I.F.1. of this final rule). We
included further information on BBRA
provisions that affected the SNF PPS in
Program Memorandums A–99–53 and
A–99–61 (December 1999).
Also, section 103 of the BBRA
designated certain additional services
for exclusion from the consolidated
billing requirement, as discussed in
greater detail in section III.G of this final
rule. Further, for swing-bed hospitals
with more than 49 (but less than 100)
beds, section 408 of the BBRA provided
for the repeal of certain statutory
restrictions on length of stay and
aggregate payment for patient days,
effective with the end of the SNF PPS
transition period described in section
1888(e)(2)(E) of the Act. In the final rule
for FY 2002 (66 FR 39562, July 31,
2001), we made conforming changes to
the regulations at § 413.114(d), effective
for services furnished in cost reporting
periods beginning on or after July 1,
2002, to reflect section 408 of the BBRA.
D. The Medicare, Medicaid, and SCHIP
Benefits Improvement and Protection
Act of 2000 (BIPA)
The BIPA also included several
provisions that resulted in adjustments
to the SNF PPS. We described these
provisions in detail in the final rule for
FY 2002 (66 FR 39562, July 31, 2001).
In particular:
• Section 203 of the BIPA exempted
CAH swing-beds from the SNF PPS. We
included further information on this
provision in Program Memorandum A–
01–09 (Change Request #1509), issued
January 16, 2001, which is available
online at https://www.cms.hhs.gov/
transmittals/downloads/a0109.pdf.
• Section 311 of the BIPA revised the
statutory update formula for the SNF
market basket, and also directed us to
conduct a study of alternative case-mix
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classification systems for the SNF PPS.
In 2006, we submitted a report to the
Congress on this study, which is
available online at https://
www.cms.hhs.gov/SNFPPS/Downloads/
RC_2006_PC-PPSSNF.pdf.
• Section 312 of the BIPA provided
for a temporary increase of 16.66
percent in the nursing component of the
case-mix adjusted Federal rate for
services furnished on or after April 1,
2001, and before October 1, 2002;
accordingly, this add-on is no longer in
effect. This section also directed the
Government Accountability Office
(GAO) to conduct an audit of SNF
nursing staff ratios and submit a report
to the Congress on whether the
temporary increase in the nursing
component should be continued. The
report (GAO–03–176), which GAO
issued in November 2002, is available
online at https://www.gao.gov/
new.items/d03176.pdf.
• Section 313 of the BIPA repealed
the consolidated billing requirement for
services (other than physical,
occupational, and speech-language
therapy) furnished to SNF residents
during noncovered stays, effective
January 1, 2001.
• Section 314 of the BIPA corrected
an anomaly involving three of the RUGs
that section 101(a) of the BBRA had
designated to receive the temporary
payment adjustment discussed above in
section I.C. of this final rule. (As noted
previously, in accordance with section
101(c)(2) of the BBRA, this temporary
payment adjustment expired upon the
implementation of case-mix refinements
on January 1, 2006.)
• Section 315 of the BIPA authorized
us to establish a geographic
reclassification procedure that is
specific to SNFs, but only after
collecting the data necessary to establish
a SNF wage index that is based on wage
data from nursing homes. To date, this
has proven to be infeasible due to the
volatility of existing SNF wage data and
the significant amount of resources that
would be required to improve the
quality of that data.
We included further information on
several of the BIPA provisions in
Program Memorandum A–01–08
(Change Request #1510), issued January
16, 2001, which is available online at
https://www.cms.hhs.gov/transmittals/
downloads/a0108.pdf.
E. The Medicare Prescription Drug,
Improvement, and Modernization Act of
2003 (MMA)
The MMA included a provision that
results in a further adjustment to the
SNF PPS. Specifically, section 511 of
the MMA amended section 1888(e)(12)
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of the Act, to provide for a temporary
increase of 128 percent in the PPS per
diem payment for any SNF residents
with Acquired Immune Deficiency
Syndrome (AIDS), effective with
services furnished on or after October 1,
2004. This special AIDS add-on was to
remain in effect until ‘‘* * * the
Secretary certifies that there is an
appropriate adjustment in the case mix
* * * to compensate for the increased
costs associated with [such] residents
* * *.’’ The AIDS add-on is also
discussed in Program Transmittal #160
(Change Request #3291), issued on April
30, 2004, which is available online at
https://www.cms.hhs.gov/transmittals/
downloads/r160cp.pdf. As discussed in
the SNF PPS final rule for FY 2006 (70
FR 45028, August 4, 2005), we did not
address the certification of the AIDS
add-on in that final rule’s
implementation of the case-mix
refinements, thus allowing the
temporary add-on payment created by
section 511 of the MMA to remain in
effect.
For the limited number of SNF
residents that qualify for the AIDS addon, implementation of this provision
results in a significant increase in
payment. For example, using FY 2007
data, we identified slightly more than
2,700 SNF residents with a diagnosis
code of 042 (Human Immunodeficiency
Virus (HIV) Infection). For FY 2010, an
urban facility with a resident with AIDS
in RUG group ‘‘SSA’’ would have a
case-mix adjusted payment of $252.95
(see Table 4) before the application of
the MMA adjustment. After an increase
of 128 percent, this urban facility would
receive a case-mix adjusted payment of
approximately $576.73. A further
discussion of the AIDS add-on in the
context of research conducted during
the recent STRIVE study appears in
section III.C.5 of this final rule.
In addition, section 410 of the MMA
contained a provision that excluded
from consolidated billing certain
practitioner and other services
furnished to SNF residents by rural
health clinics (RHCs) and Federally
Qualified Health Centers (FQHCs), as
discussed in section III.G of this final
rule.
F. Skilled Nursing Facility Prospective
Payment—General Overview
We implemented the Medicare SNF
PPS effective with cost reporting
periods beginning on or after July 1,
1998. This PPS pays SNFs through
prospective, case-mix adjusted per diem
payment rates applicable to all covered
SNF services. These payment rates
cover all costs of furnishing covered
SNF services (routine, ancillary, and
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capital-related costs) other than costs
associated with approved educational
activities. Covered SNF services include
post-hospital services for which benefits
are provided under Part A, as well as
those items and services (other than
physician and certain other services
specifically excluded under the BBA)
which, before July 1, 1998, had been
paid under Part B but furnished to
Medicare beneficiaries in a SNF during
a covered Part A stay. A comprehensive
discussion of these provisions appears
in the May 12, 1998 interim final rule
(63 FR 26252).
1. Payment Provisions—Federal Rate
The PPS uses per diem Federal
payment rates based on mean SNF costs
in a base year (FY 1995) updated for
inflation to the first effective period of
the PPS. We developed the Federal
payment rates using allowable costs
from hospital-based and freestanding
SNF cost reports for reporting periods
beginning in FY 1995. As discussed
previously in section I.A of this final
rule, the data used in developing the
Federal rates also incorporated a ‘‘Part
B add-on,’’ an estimate of the amounts
that would be payable under Part B in
the base year for covered SNF services
furnished to individuals during the
course of a covered Part A SNF stay.
In developing the rates for the initial
period, we updated costs to the first
effective year of the PPS (the 15-month
period beginning July 1, 1998) using a
SNF market basket index, and then
standardized for the costs of facility
differences in case-mix and for
geographic variations in wages. In
compiling the database used to compute
the Federal payment rates, we excluded
those providers that received new
provider exemptions from the routine
cost limits, as well as costs related to
payments for exceptions to the routine
cost limits. Using the formula that the
BBA prescribed, we set the Federal rates
at a level equal to the weighted mean of
freestanding costs plus 50 percent of the
difference between the freestanding
mean and weighted mean of all SNF
costs (hospital-based and freestanding)
combined. We computed and applied
separately the payment rates for
facilities located in urban and rural
areas. In addition, we adjusted the
portion of the Federal rate attributable
to wage-related costs by a wage index.
The Federal rate also incorporates
adjustments to account for facility casemix, using a classification system that
accounts for the relative resource
utilization of different patient types.
The RUG–III classification system uses
beneficiary assessment data from the
Minimum Data Set (MDS) completed by
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SNFs to assign beneficiaries to one of 53
RUG–III groups. The original RUG–III
case-mix classification system included
44 groups. However, under incremental
refinements that became effective on
January 1, 2006, we added nine new
groups—comprising a new
Rehabilitation plus Extensive Services
category—at the top of the RUG
hierarchy. The May 12, 1998 interim
final rule (63 FR 26252) included a
detailed description of the original 44group RUG–III case-mix classification
system. A comprehensive description of
the refined 53-group RUG–III case-mix
classification system (RUG–53)
appeared in the proposed and final rules
for FY 2006 (70 FR 29070, May 19,
2005, and 70 FR 45026, August 4, 2005).
Further, in accordance with section
1888(e)(4)(E)(ii)(IV) of the Act, the
Federal rates in this final rule reflect an
update to the rates that we published in
the final rule for FY 2009 (73 FR 46416,
August 8, 2008) and the associated
correction notice (73 FR 56998, October
1, 2008), equal to the full change in the
SNF market basket index. A more
detailed discussion of the SNF market
basket index and related issues appears
in sections I.F.2 and III.F of this final
rule.
2. FY 2010 Rate Updates Using the
Skilled Nursing Facility Market Basket
Index
Section 1888(e)(5) of the Act requires
us to establish a SNF market basket
index that reflects changes over time in
the prices of an appropriate mix of
goods and services included in covered
SNF services. We use the SNF market
basket index to update the Federal rates
on an annual basis. In the SNF PPS final
rule for FY 2008 (72 FR 43425 through
43430, August 3, 2007), we revised and
rebased the market basket, which
included updating the base year from
FY 1997 to FY 2004. The FY 2010
market basket increase is 2.2 percent,
which is based on IHS Global Insight,
Inc. second quarter 2009 forecast with
historical data through the first quarter
2009.
In addition, as explained in the final
rule for FY 2004 (66 FR 46058, August
4, 2003) and in section III.F.2 of this
final rule, the annual update of the
payment rates includes, as appropriate,
an adjustment to account for market
basket forecast error. As described in the
final rule for FY 2008, the threshold
percentage that serves to trigger an
adjustment to account for market basket
forecast error is 0.5 percentage point
effective for FY 2008 and subsequent
years. This adjustment takes into
account the forecast error from the most
recently available FY for which there is
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final data, and applies whenever the
difference between the forecasted and
actual change in the market basket
exceeds a 0.5 percentage point
threshold. For FY 2008 (the most
recently available FY for which there is
final data), the estimated increase in the
market basket index was 3.3 percentage
points, while the actual increase was 3.6
percentage points, resulting in a
difference of 0.3 percentage point.
Accordingly, as the difference between
the estimated and actual amount of
change does not exceed the 0.5
percentage point threshold, the payment
rates for FY 2010 do not include a
forecast error adjustment. Table 1 shows
the forecasted and actual market basket
amounts for FY 2008.
TABLE 1—DIFFERENCE BETWEEN THE FORECASTED AND ACTUAL MARKET BASKET INCREASES FOR FY 2008
Index
Forecasted
FY 2008 increase *
Actual
FY 2008 increase **
FY 2008 difference ***
SNF ..........................................................................................................
3.3
3.6
0.3
* Published in Federal Register; based on second quarter 2007 IHS Global Insight Inc. forecast (2004-based index).
** Based on the second quarter 2009 IHS Global Insight forecast (2004-based index).
*** The FY 2008 forecast error correction for the PPS Operating portion will be applied to the FY 2010 PPS update recommendations. Any
forecast error less than 0.5 percentage points will not be reflected in the update recommendation.
II. Summary of the Provisions of the FY
2010 Proposed Rule
A. General Comments on the FY 2010
Proposed Rule
In the FY 2010 proposed rule (74 FR
22208), we proposed to update the
payment rates used under the SNF PPS
for FY 2010. We also proposed to
recalibrate the case-mix indexes so that
they more accurately reflect parity in
expenditures related to the
implementation of case-mix refinements
in January 2006. We also discussed the
results of our ongoing analysis of
nursing home staff time measurement
(STM) data collected in the Staff Time
and Resource Intensity Verification
(STRIVE) project, and proposed a new
RUG–IV case-mix classification model
that would use the updated Minimum
Data Set (MDS) 3.0 resident assessment
for case-mix classification effective FY
2011. In addition, we requested public
comment on a possible requirement for
the quarterly reporting of nursing home
staffing data, and also on applying the
quality monitoring mechanism in place
for all other SNF PPS facilities to rural
swing-bed hospitals. Finally, we
proposed to revise the regulations to
incorporate certain technical
corrections.
In addition to the comments that we
received on the proposed rule’s
discussion of specific aspects of the SNF
PPS (which we address later in this final
rule), commenters also submitted the
following, more general observations on
the payment system.
Comment: Some commenters noted
that while the proposed rule’s SNF PPS
rate updates would be effective for FY
2010, its proposed conversion of the
Resource Utilization Groups (RUGs)
from version 3 (RUG–III) to version 4
(RUG–IV) would not take effect until FY
2011. The commenters argued that it is
unprecedented to publish such a
proposal so far in advance of its
anticipated effective date, and that the
60-day public comment period would
not afford sufficient time to analyze and
comment meaningfully on it. The
commenters then suggested that we
withdraw the current RUG conversion
proposal and reissue it at a later date
with a ‘‘more reasonable’’ comment
period.
Response: While it is true that the
RUG conversion proposal would not
become effective until FY 2011, our
decision to include a discussion of it in
the FY 2010 proposed rule and to
propose to finalize it well in advance of
its actual implementation date
represents a response to specific
requests from the nursing home
industry for us to provide as much
advance notification as possible of the
nature of the proposed RUG–IV
revisions, and to provide adequate time
for system updates and training
necessary to implement any proposed
changes that are finalized. Thus, rather
than arbitrarily deferring our discussion
of this proposal until the FY 2011
rulemaking cycle (which, in any event,
would have provided for exactly the
same 60-day duration for the public
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III. Analysis and Response to Public
Comments on the FY 2010 Proposed
Rule
In response to the publication of the
FY 2010 proposed rule, we received
over 112 timely items of correspondence
from the public. The comments
originated primarily from various trade
associations and major organizations,
but also from individual providers,
corporations, government agencies, and
private citizens.
Brief summaries of each proposed
provision, a summary of the public
comments that we received, and our
responses to the comments appear
below.
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comment period), we decided to include
the discussion in the current proposed
rule, in order to ensure that providers,
States, and other stakeholders and
interested parties would have the
maximum time available to familiarize
themselves with the broad outlines of
the new model and to prepare for its
implementation. Moreover, even after
the close of the FY 2010 proposed rule’s
public comment period, we fully intend
to continue our analysis of the proposed
changes that are finalized in this rule, in
order to consider the most current data
as it becomes available. As an essential
part of this ongoing analysis, we will, of
course, also continue to welcome input
from the various stakeholders and
interested parties as we move closer to
actual implementation.
Comment: We received comments
similar to those discussed previously in
the August 3, 2007 SNF PPS final rule
for FY 2008 (72 FR 43415 through
43416) regarding the need to address
certain perceived inadequacies in
payment for non-therapy ancillary
(NTA) services, including those services
relating to the provision of ventilator
care in SNFs. We also received
comments recommending that we
continue to monitor ongoing research,
and that we consider alternative casemix methodologies such as the recent
MedPAC proposal that appears on the
MedPAC Web site (see https://
www.MedPAC.gov).
Response: As we noted in the
proposed rule for FY 2010, we are
conducting the analyses preparatory to
developing a separate classification
method for NTAs. For these analyses,
we are using data developed through
STRIVE, as well as alternative models
such as the conceptual design released
first by the Urban Institute and then by
MedPAC. However, as noted in our
December 2006 Report to Congress
(available online at https://
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www.cms.hhs.gov/SNFPPS/Downloads/
RC_2006_PC-PPSSNF.pdf), our analysis
of NTA utilization has been hindered by
a lack of data. Almost all other Medicare
institutional providers submit more
detailed billing than SNFs on the
ancillary services furnished during a
Medicare-covered stay. SNFs may
currently submit summary data that
shows total dollar amounts for each
ancillary service category, such as
radiology and pharmacy, but are not
required to submit more detailed data
on drugs and biologicals, the most
costly NTA expense category. As we
examine the NTA analyses discussed in
detail in the FY 2010 proposed rule, we
will re-evaluate whether our current
data requirements are sufficient to move
forward with additional program
enhancements. We will also consider
whether collecting more detailed claims
information on a regular basis will allow
us to establish more accurate payment
rates for NTA services.
We also believe it is important to
monitor ongoing research activities, and
work with all stakeholders, including
MedPAC, to identify opportunities for
future program enhancements. At the
same time, we note that the SNF PPS
reimbursement structure will be
completely examined as part of the Post
Acute Care Payment Reform
Demonstration (PAC–PRD) project.
Under this major CMS initiative, we
intend to analyze the costs and
outcomes across all post-acute care
providers, and the data collected in this
demonstration will enable us to evaluate
the possibility of establishing an
integrated payment model centered on
beneficiary needs and service utilization
(including the use of non-therapy
ancillaries) across settings. In
considering future changes to the SNF
PPS, it will be important to evaluate
how shorter term enhancements
contribute to our integrated post acute
care strategy.
A discussion of the public comments
that we received on the STRIVE project
itself appears in section III.C.1 of this
final rule.
B. Annual Update of Payment Rates
Under the Prospective Payment System
for Skilled Nursing Facilities
1. Federal Prospective Payment System
This final rule sets forth a schedule of
Federal prospective payment rates
applicable to Medicare Part A SNF
services beginning October 1, 2010. The
schedule incorporates per diem Federal
rates that provide Part A payment for
almost all costs of services furnished to
a beneficiary in a SNF during a
Medicare-covered stay.
a. Costs and Services Covered by the
Federal Rates
In accordance with section
1888(e)(2)(B) of the Act, the Federal
rates apply to all costs (routine,
ancillary, and capital-related) of covered
SNF services other than costs associated
with approved educational activities as
defined in § 413.85. Under section
1888(e)(2)(A)(i) of the Act, covered SNF
services include post-hospital SNF
services for which benefits are provided
under Part A (the hospital insurance
program), as well as all items and
services (other than those services
excluded by statute) that, before July 1,
1998, were paid under Part B (the
supplementary medical insurance
program) but furnished to Medicare
beneficiaries in a SNF during a Part A
covered stay. (These excluded service
categories are discussed in greater detail
in section V.B.2 of the May 12, 1998
interim final rule (63 FR 26295 through
26297)).
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b. Methodology Used for the Calculation
of the Federal Rates
The FY 2010 rates reflect an update
using the full amount of the latest
market basket index. The FY 2010
market basket increase factor is 2.2
percent. A complete description of the
multi-step process used to calculate
Federal rates initially appeared in the
May 12, 1998 interim final rule (63 FR
26252), as further revised in subsequent
rules. We note that in accordance with
section 101(c)(2) of the BBRA, the
previous temporary increases in the per
diem adjusted payment rates for certain
designated RUGs, as specified in section
101(a) of the BBRA and section 314 of
the BIPA, are no longer in effect due to
the implementation of case-mix
refinements as of January 1, 2006.
However, the temporary increase of 128
percent in the per diem adjusted
payment rates for SNF residents with
AIDS, enacted by section 511 of the
MMA (and discussed previously in
section I.E of this final rule), remains in
effect.
We used the SNF market basket to
adjust each per diem component of the
Federal rates forward to reflect cost
increases occurring between the
midpoint of the Federal FY beginning
October 1, 2008, and ending September
30, 2009, and the midpoint of the
Federal FY beginning October 1, 2009,
and ending September 30, 2010, to
which the payment rates apply. In
accordance with section
1888(e)(4)(E)(ii)(IV) of the Act, we
would update the payment rates for FY
2010 by a factor equal to the full market
basket index percentage increase. We
further adjust the rates by a wage index
budget neutrality factor, described later
in this section. Tables 2 and 3 reflect the
updated components of the unadjusted
Federal rates for FY 2010.
TABLE 2—FY 2010 UNADJUSTED FEDERAL RATE PER DIEM URBAN
Rate Component
Nursing—
case-mix
Therapy—
case-mix
Therapy—
non-case-mix
Non-case-mix
Per Diem Amount ............................................................................
$155.23
$116.93
$15.40
$79.22
TABLE 3—FY 2010 UNADJUSTED FEDERAL RATE PER DIEM RURAL
Nursing—
case-mix
Therapy—
case-mix
Therapy—
non-case-mix
Non-case-mix
Per Diem Amount ............................................................................
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Rate component
$148.31
$134.83
$16.45
$80.69
2. Case-Mix Adjustments
a. Background
Section 1888(e)(4)(G)(i) of the Act
requires the Secretary to make an
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adjustment to account for case-mix. The
statute specifies that the adjustment is
to reflect both a resident classification
system that the Secretary establishes to
account for the relative resource use of
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different patient types, as well as
resident assessment and other data that
the Secretary considers appropriate. In
first implementing the SNF PPS (63 FR
26252, May 12, 1998), we developed the
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RUG–III case-mix classification system,
which tied the amount of payment to
resident resource use in combination
with resident characteristic information.
The STM studies conducted in 1990,
1995, and 1997 provided information on
resource use (time spent by staff
members on residents) and resident
characteristics that enabled us not only
to establish RUG–III, but also to create
case-mix indexes.
Although the establishment of the
SNF PPS did not change Medicare’s
fundamental requirements for SNF
coverage, there is a correlation between
level of care and provider payment. One
of the elements affecting the SNF PPS
per diem rates is the RUG–III case-mix
adjustment classification system based
on beneficiary assessments using the
MDS 2.0. RUG–III classification is
based, in part, on the beneficiary’s need
for skilled nursing care and therapy. As
discussed previously in section I.F.1 of
this final rule, the SNF PPS final rule for
FY 2006 (70 FR 45026, August 4, 2005)
refined the case-mix classification
system effective January 1, 2006, by
adding nine new Rehabilitation Plus
Extensive Services RUGs at the top of
the original, 44-group system, for a total
of 53 groups. This nine-group addition
was designed to better account for the
higher costs of beneficiaries requiring
both rehabilitation and certain high
intensity medical services. When we
developed the refined RUG–53 system,
we constructed new case-mix indexes,
using the STM study data that was
collected during the 1990s and
originally used in creating the SNF PPS
case-mix classification system and casemix indexes. In addition, the RUG–III
system was standardized with the intent
of ensuring parity in payments under
the 44-group and 53-group models. In
section III.B.2.b of this final rule, we
discuss further adjustments to those
new case-mix indexes.
The RUG–III case-mix classification
system uses clinical data from the MDS
2.0, and wage-adjusted STM data, to
assign a case-mix group to each patient
record that is then used to calculate a
per diem payment under the SNF PPS.
The existing RUG–III grouper logic was
based on clinical data collected in 1990,
1995, and 1997. As discussed in section
III.C.1, we have recently completed a
multi-year data collection and analysis
under the STRIVE project to update the
RUG–III case-mix classification system
for FY 2011. As discussed later in this
preamble, we are introducing a revised
case-mix classification system, the
RUG–IV, based on the data collected in
2006–2007 during the STRIVE project.
At the same time, we plan to introduce
an updated new resident assessment
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instrument, the MDS 3.0, to collect the
clinical data that will be used for casemix classification under RUG–IV. We
believe that the coordinated
introduction of the RUG–IV and MDS
3.0 reflects current medical practice and
resource use in SNFs across the country,
and will enhance the accuracy of the
SNF PPS. Further, we plan to defer
implementation of the RUG–IV and
MDS 3.0 until October 1, 2010, to allow
all stakeholders adequate time for the
systems updates and staff training
needed to assure a smooth transition.
We discuss the RUG–IV methodology,
the MDS 3.0, and the stakeholder
comments in greater detail in sections
III.C and III.D, respectively.
Under the BBA, each update of the
SNF PPS payment rates must include
the case-mix classification methodology
applicable for the coming Federal FY.
As indicated in section I.F.1 of this final
rule, the FY 2010 payment rates set
forth herein reflect the use of the refined
RUG–53 system that we discussed in
detail in the proposed and final rules for
FY 2006.
b. Development of the Case-Mix Indexes
In the FY 2010 proposed rule (74 FR
22208, 22214, May 12, 2009), we
discussed the incremental refinements
to the case-mix classification system
that we introduced effective January 1,
2006. We also discussed the
accompanying adjustment that was
intended to ensure that estimated total
payments under the refined 53-group
model would be equal to those
payments that would have been made
under the 44-group model that it
replaced. We then explained that actual
utilization patterns under the refined
case-mix system differed significantly
from the initial projections, and as a
consequence, rather than simply
achieving parity, this adjustment
inadvertently triggered a significant
increase in overall payment levels under
the refined model, representing
substantial overpayments to SNFs.
Accordingly, the FY 2010 proposed rule
included a proposal to recalibrate the
parity adjustment in order to restore the
intended parity to the 2006 case-mix
refinements on a prospective basis. The
comments that we received on this
proposal, and our responses, appear
below.
Comment: Most commenters opposed
our proposal to recalibrate the case-mix
weights put into place for the refined
RUG–53 system. Some commenters
expressed the belief that we have
overstated the amount of the proposed
parity adjustment, by incorrectly
identifying increased payments related
to treatment of higher case-mix patients
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with an overpayment related to the use
of an incorrect budget neutrality
adjustment factor applied in January
2006. They believed that the
recalibration proposal should be either
withdrawn or significantly reduced to
eliminate the effect of real acuity
changes. One commenter conducted a
detailed analysis of MDS clinical data
that included changes in reported
activities of daily living (ADLs),
infections, falls, medication use, and
other clinical conditions to support
their conclusions that patient acuity has
increased since the start of the SNF PPS
and that our recalibration proposal
incorrectly ignored the impact of these
changes. Another commenter believed
that the proposed recalibration could be
more accurately calculated using either
2005 data or a combination of 2005 and
2006 data.
Response: We agree that, on average,
the case-mix indexes for current SNF
patients are higher than they were in
2001. In fact, our primary reason for
implementing the STRIVE project was
to identify changes in patient
characteristics, and to adjust the RUG
case-mix classification system to reflect
the staff time and resource costs needed
to reimburse fairly for the type of
patients currently being treated in
nursing homes. Moreover, in the
STRIVE study, we collected 2006–2007
patient and facility staff data in order to
update the case-mix classification
system. As indicated in detail in the
proposed rule, STRIVE data also show
significant changes in patient
characteristics and facility practice
patterns that need to be incorporated
into the case-mix methodology to
reimburse facilities more accurately.
However, we do not agree that
changes in patient acuity levels skewed
the results of our recalibration analysis.
When we introduced nine new
Rehabilitation Plus Extensive Care
groups to create the RUG–53 model in
January 2006, we made a small, focused
adjustment to the case-mix classification
of patients receiving both Extensive
Care and Rehabilitation services. Under
RUG–44, patients receiving both
services would be classified into the
highest paying group for which they
qualified—either Extensive Care or
Rehabilitation. Under RUG–53, we
created a separate category for this
subgroup of patients. As explained in
the FY 2006 proposed rule (70 FR
29070, 29077, May 19, 2005), we took
the nursing minutes used to create the
original RUG–III system, and resorted
the records to create three hierarchy
categories (Rehabilitation, Extensive
Care, and Rehabilitation Plus Extensive)
from the two categories that were used
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in the RUG–44 model. In making these
changes, we did not change any other
part of the case-mix classification
model. Thus, patient clinical
characteristics including ADL scores
(used to assign a Rehabilitation RUG
group) calculated under the RUG–53
model would be exactly the same as the
patient characteristics, including ADL
scores, calculated under the RUG–44
model. As we used the same 2006 data
set to test for budget neutrality between
the two models, ADLs and other
components of the case-mix model
reflected the same 2006 level of acuity.
In addition, we believe this concern
may erroneously equate the
introduction of a new classification
model with the regular SNF PPS annual
update process. Normally, changes in
case mix are accommodated as the
classification model identifies changes
in case mix and assigns the appropriate
RUG group. Actual payments will
typically vary from projections since
case-mix changes, which occur for a
variety of reasons, cannot be anticipated
in an impact analysis.
However, in January 2006, we did not
just update the payment rates, but
introduced a new classification model,
the RUG–53 case-mix system. As
discussed above, the purpose of this
refined model was to redistribute
payments across the 53 groups while
maintaining the same total expenditure
level that we would have incurred had
we retained the original 44-group RUG
model.
In testing the two models, we used
2001 data because it was the best data
we had available, and found that using
the raw weights calculated for the RUG–
53 model, we could expect aggregate
payments to decrease as a result of
introducing the refinement. To prevent
this expected reduction in overall
Medicare expenditures, we applied an
adjustment to the RUG–53 case-mix
weights as described earlier in this
section. Later analysis using actual 2006
data showed that, rather than achieving
budget neutrality between the two
models, expenditures under the RUG–
53 model were significantly higher than
intended. For FY 2010, we estimate
expenditures to be $1.05 billion higher
than intended.
As noted previously, we do not agree
that updating our analysis using CY
2006 data captured payments related to
increased case mix rather than
establishing budget neutrality between
the two models. First, by using 2006
data to estimate expenditures under
both models, we incorporate the same
case-mix changes into the estimated
expenditure levels for RUG–44 as well
as for RUG–53. Second, we believe it is
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appropriate to standardize the new
model for the time period in which it is
being introduced. The only reason we
used 2001 data in the original
calculation is that it was the best data
available at the time. The CY 2006 data
allowed us to calibrate the RUG–53
model more precisely for its first year of
operation.
One commenter recommended using
alternative time periods in calculating
the budget neutrality adjustment.
However, while it might be possible to
use some or all of CY 2005 rather than
CY 2006 data, using CY 2005 data still
requires us to use a projection of the
distributional shift to the nine new
groups in the RUG–53 group model. We
believe that using actual instead of
projected data is the most appropriate
approach. We also looked at a second
recommended alternative, which
involved averaging data periods directly
before and after implementation of the
RUG–53 model; 2005 for the RUG–44
model and 2006 for the RUG–53 model.
Again, we believe that using actual
utilization data for CY 2006 is more
accurate, as actual case mix during the
calibration year is the basis for
computing the case-mix adjustment. We
have determined that using the 2006
data instead of the suggested
alternatives is the most appropriate data
to adopt.
Comment: A few commenters stated
that CMS failed to make public all
information needed to provide sufficient
explanation of the basis for the
recalibration. The commenters indicated
that the negative $1.05 billion impact of
the recalibration should be similar to
that proposed in the 2009 proposed
rule, and questioned the reasons for the
change. Further, the commenters
suggested that CMS has failed to
provide the public with the aggregate
baseline spending values that CMS used
in making the initial FY 2006 ‘‘parity’’
adjustment and the one that is currently
being used in the FY 2010 proposed
rule.
Response: In the FY 2009 rule, actual
data were used to compare payments in
2006 under RUG–44 and RUG–53. At
that time it was decided that an
adjustment was necessary to recalibrate
the CMIs because the adjustments in
place since FY 2006, which were
supposed to be budget neutral, actually
resulted in a 3.3 percent overpayment to
SNFs. It was also determined that the
adjustment necessary to attain the
appropriate 3.3 percent reduction in
payments was a 9.68 percent increase to
the unadjusted RUG–53 case-mix
indexes (73 FR 46422, August 8, 2008),
to replace the 17.90 percent adjustment
that was in place since 2006. To
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determine the dollar impact ($780
million) for the FY 2009 rule, the 3.3
percent was applied to the estimated
Medicare reimbursement to SNFs in FY
2008, which is net of beneficiary costsharing. For the FY 2010 rule, the same
data and methodology were used as in
the FY 2009 rule, which determined
that an overpayment of 3.3 percent has
been in place since 2006, requiring an
adjustment to the nursing case-mix
indexes of 9.68 percent (74 FR 22214,
May 12, 2009) to replace the 17.90
percent adjustment. However, we
believe that the presentation of the
dollar impact would be more accurately
reflected by applying the overpayment
percentage to total SNF payments,
including beneficiary cost-sharing
amounts. The reason for using these
higher payments to determine the dollar
impact is because this is how the impact
will play out in actual practice.
Specifically, the revised 9.68 percent
adjustment to the nursing CMIs is used
to calculate total payments to SNFs,
which reflect a combination of
reimbursement from Medicare along
with beneficiary cost-sharing. However,
as the daily coinsurance amount for
days 21–100 in the SNF is set by law (in
section 1813(a)(3) of the Act) at oneeighth of the current calendar year’s
inpatient hospital deductible amount,
the beneficiary cost-sharing is
unaffected by the change in payments
resulting from the recalibration. This
point is best illustrated by way of an
example: Total payments to SNFs in FY
2009 are estimated at approximately
$31.3 billion, consisting of $25.9 billion
in Medicare reimbursement and $5.4
billion in beneficiary cost-sharing.
The impact of the recalibration lowers
total payments to SNFs by
approximately $1 billion (or 3.3
percent), to about $30.3 billion. Of this
$30.3 billion, beneficiary cost-sharing
(as determined by the statutory formula)
remains unchanged at $5.4 billion,
while Medicare reimbursement is
reduced to $24.8 billion. Thus, although
the determination of the total dollar
impact changed, the methodology used
to determine the need to recalibrate the
CMIs did not change from FY 2009 to
FY 2010. The total payments to SNFs
that are used to determine the dollar
impacts are not explicitly published
anywhere, but can be easily estimated
by dividing the dollar impacts by the
percentage impact. These results can be
confirmed by contacting the CMS Office
of the Actuary.
Comment: Some commenters believed
that CMS failed to provide sufficient
information for a third party to
reproduce CMS’s conclusions with
regard to the recalibrated parity
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adjustment, noting the following
specific elements: The baseline used for
FY 2010, the CY 2006 days of service for
both the RUG–44 and RUG–53 systems,
and the separate values for the
recalibrated parity adjustment factor
and the NTA cost adjustment factor for
FY 2010.
Response: We do not agree with the
commenters’ assertion. The
methodology used to establish the casemix adjustments is the same as that
described in detail in the FY 2006 SNF
PPS proposed rule (70 FR 29077
through 29079, May 19, 2005), the FY
2009 SNF PPS proposed rule (73 FR
25923, May 7, 2008) and the FY 2009
SNF PPS final rule (73 FR 46421–22,
August 8, 2008). In addition, the data
used to calculate the adjustments are
publicly available on the CMS Web site,
as explained below. We used the CY
2006 days of service (available in the
Downloads section of our Web site at
https://www.cms.hhs.gov/SNFPPS/
02_Spotlight.asp) for both the RUG–44
and RUG–53 systems. We multiplied the
CY 2006 days of service by the FY 2008
unadjusted Federal per diem payment
rate components (72 FR 43416, August
3, 2007) multiplied by the unadjusted
case-mix indexes (available in the
Downloads section of our Web site at
https://www.cms.hhs.gov/SNFPPS/
09_RUGRefinement.asp) to establish
expenditures under the RUG–44 and
RUG–53 systems. The budget neutrality
adjustment was determined as the
percentage increase necessary for the
nursing CMIs to generate estimated
expenditure levels under the RUG–53
system that were equal to estimated
expenditure levels under the RUG–44
system. We then calculated a second
adjustment factor to increase the
baseline by an amount that served to
offset the variability in NTA utilization.
The separate recalibrated parity
adjustment factor and the NTA cost
adjustment factor were considered in
the calculation of the combined parity
adjustment factor of 9.68 in the FY 2009
SNF PPS proposed rule (73 FR 25923,
May 7, 2008), the FY 2009 SNF PPS
final rule (73 FR 46421–22, August 8,
2008), and the FY 2010 SNF PPS
proposed rule (74 FR 22214, May 12,
2009). We presented the total
adjustment to the nursing case-mix
indexes of 9.68 percent because this
reflects all changes to the payment
system with respect to the recalibration.
The percentage adjustment to the
nursing CMIs to maintain parity
between the 44-group and 53-group
models is a 2.43 percent increase. The
adjustment to account for the variability
in the non-therapy ancillary utilization
is a 7.08 percent increase. The separate
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adjustments represent interim steps in
the calculations, and the final result of
9.68 percent represents the complete
change to aggregate payments.
Although the SNF baseline is not
explicitly published, the baseline used
can be determined by dividing the
dollar impacts by the percentage impact.
Many commenters used this approach to
conduct their own analyses. Some of the
commenters contacted CMS to confirm
the baseline in use, and this information
was provided or verified.
Comment: A few commenters believe
that CMS failed to explain fully the
evaluation done since the FY 2009 final
rule to support the decision to proceed
with the recalibration for FY 2010.
Response: The analytic methodology
and calculations were explained in
detail in the FY 2009 proposed and final
rules. In the final rule, we explained
that we were deferring rather than
withdrawing the recalibration proposal.
After the publication of the FY 2009
final rule, we worked with CMS staff
and contractors, and reviewed the entire
methodology with our actuaries. We
reviewed the recalibration approach
with the CMS actuaries, asked for an
independent review by one of our
contractors, and met with an industry
representative to discuss the
methodology. The calculations were
determined to be mathematically
correct. The approach was reconsidered
along with alternative approaches that
we presented in our FY 2009 final rule
(73 FR 46423, 46439–40) and those
offered by industry. Based on our results
from these steps, we determined that
our methodology was appropriate and
reissued the proposal for FY 2010. In
addition, we further considered the
effects of the recalibration on
beneficiaries, SNF clinical staff, and
quality of care, and as explained in the
FY 2010 proposed rule (74 FR 22214),
we determined that it is appropriate to
proceed with the recalibration in FY
2010. As we explained in the FY 2010
proposed rule (74 FR 22214), by
recalibrating the CMIs under the 53group model, we expect to restore SNF
payments to their appropriate level by
correcting an inadvertent increase in
overall payments. Because the
recalibration would simply remove an
unintended overpayment rather than
decrease an otherwise appropriate
payment amount, we do not believe that
the recalibration should negatively
affect beneficiaries, clinical staff, or
quality of care, or create an undue
hardship on providers. The purpose of
the FY 2006 refinements was to
reallocate payments so that they more
accurately reflect resources used, not to
increase or decrease overall
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expenditures. Thus, we believe that it is
appropriate to proceed with the
recalibration in order to ensure that we
correctly accomplish the purpose of the
FY 2006 case-mix refinements and
restore payments to their appropriate
level.
Comment: Several commenters stated
that the need for the recalibration arose
because CMS initial projections of
utilization under the refined case-mix
system proved to be inaccurate once
actual utilization data became available.
They then asserted that in view of this,
the proposed recalibration represents a
‘‘forecast error adjustment’’ that is not
covered under the statutory authority to
provide for an appropriate adjustment to
account for case mix (section
1888(e)(4)(G)(i) of the Act).
Response: It would be incorrect to
characterize the proposed recalibration
as a ‘‘forecast error adjustment,’’ as that
term refers solely to an adjustment that
compensates for an inaccurate forecast
of the annual inflation factor in the SNF
market basket, as described in section
III.F.2 of this final rule (see 42 CFR
413.337(d)(2)). By contrast, the
proposed recalibration would serve to
ensure that the 2006 case-mix
refinements are implemented as
intended. As such, it would be integral
to the process of providing ‘‘* * * for
an appropriate adjustment to account
for case mix’’ that is based upon
appropriate data in accordance with
section 1888(e)(4)(G)(i) of the Act.
Comment: A number of comments
included references to the discussion of
the 2006 case-mix refinements in the
SNF PPS proposed rule for FY 2006 (70
FR 29079, May 19, 2005), in which we
explained that we were ‘‘* * *
advancing these proposed changes
under our authority in section 101(a) of
the BBRA to establish case-mix
refinements, and that the changes we
are hereby proposing will represent the
final adjustments made under this
authority’’ (emphasis added). The
commenters stated that this earlier
description of the 2006 case-mix
refinements as ‘‘final’’ effectively
precludes CMS from proceeding with a
recalibration, which they characterized
as representing a further refinement.
Similarly, several commenters also
questioned our authority to recalibrate
the case-mix system prior to the
completion of the STRIVE STM project.
In addition, several commenters
questioned whether CMS has the
authority to impose a budget neutrality
requirement on the introduction of a
new classification model.
Response: We wish to clarify that the
actual ‘‘refinement’’ that we proposed
and implemented in the FY 2006
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rulemaking cycle consisted of our
introduction of the 9 new Rehabilitation
plus Extensive Services groups at the
top of the previous, 44-group RUG
hierarchy, along with the adjustment
recognizing the variability of NTA use,
which together fulfilled the provisions
of section 101(a) of the BBRA. The
accompanying adjustment to the casemix indexes (CMIs) was merely a
vehicle through which we implemented
that refinement. Rather than
representing a new or further
‘‘refinement’’ in itself, the proposed
recalibration merely serves to ensure
that we correctly accomplish a revision
to the CMIs that accompanied the FY
2006 case-mix refinements.
In the FY 2006 final rule (70 FR
45033, August 4, 2005), we addressed
the introduction of the refinements
within the broader context of ensuring
payment accuracy and beneficiary
access to care. We pointed out that
mstockstill on DSKH9S0YB1PROD with RULES2
* * * this incremental change is part of this
ongoing process that will also include update
activities such as the upcoming STM study
and investigation of potential alternatives to
the RUG system itself. However, the
commitment to long term analysis and
refinement should not preclude the
introduction of more immediate
methodological and policy updates.
Finally, the budget neutrality factor
was applied to the unadjusted RUG–53
case-mix weights that were introduced
in January 2006. As stated above, our
initial analyses indicated that payments
would be lower under the RUG–53
model. As the purpose of the refinement
was to reallocate payments, and not to
reduce expenditures, we believe that
increasing the case-mix weights to
equalize payments under the two
models is an appropriate exercise of our
broad authority to establish an
appropriate case-mix system. We further
note that the FY 2006 refinement to the
case-mix classification system using
adjusted CMIs was implemented
through the rulemaking process, and we
received no comments on the use of a
budget neutrality adjustment at that
time.
Comment: Some commenters argued
against implementing the proposed
recalibration by asserting that it is
important to maintain Medicare SNF
payments at their current levels in order
to cross-subsidize what they
characterized as inadequate payment
rates for nursing facilities under the
Medicaid program. Other commenters
urged CMS to reconsider the
recalibration in light of the potential
national impact in a weak economy. A
few commenters asserted that the
recalibration would have the same
impact as the original implementation
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of the SNF PPS, which they asserted
had pushed providers into bankruptcy.
Response: We wish to clarify that it is
not the appropriate role of the Medicare
SNF benefit to cross-subsidize nursing
home payments made under the
Medicaid program. We note that
MedPAC has indicated that it is
inappropriate for the Medicare
program’s SNF payments to crosssubsidize Medicaid nursing facility rates
in this manner. Specifically, on page
152 of its March 2008 Report to the
Congress on Medicare Payment Policy
(which is available online at https://
medpac.gov/documents/
Mar08_EntireReport.pdf), MedPAC
stated:
There are several reasons why Medicare
cross-subsidization is not advisable policy for
the Medicare program. On average, Medicare
payments accounted for 21 percent of
revenues to freestanding SNFs in 2006. As a
result, the policy would use a minority of
Medicare payments to subsidize a majority of
Medicaid payments. If Medicare were to pay
still higher rates, facilities with high shares
of Medicare payments—presumably the
facilities that need revenues the least—would
receive the most in subsidies from the higher
Medicare payments. In other words, the
subsidy would be poorly targeted. Given the
variation among States in the level and
method of nursing home payments, the
impact of the subsidy would be highly
variable; in States where Medicaid payments
were adequate, it would have no positive
impact. In addition, increasing Medicare’s
payment rates could encourage States to
reduce Medicaid payments further and, in
turn, result in pressure to again raise
Medicare rates. It could also encourage
providers to select patients based on payer
source or to rehospitalize dual-eligible
patients so that they qualified for a Medicarecovered, and higher payment, stay.
We agree with MedPAC and,
therefore, do not agree with the
commenters that cited cross-subsidizing
Medicaid as a justification for
maintaining Medicare SNF payments at
any specific level.
We are also aware of the concerns that
reductions in payment levels can have
a negative impact on SNFs and the
quality of care furnished to nursing
home patients across the country.
However, in this particular case, we
have proposed to correct, on a
prospective basis, an overpayment
situation that has been in effect since
January 2006. To avoid possible
negative consequences, we have
decided not to go back and recoup the
excess expenditures made to SNFs ever
since January 2006. Instead, we are
limiting the scope of the recalibration to
restoring the intended SNF PPS
payment levels on a prospective basis
only, effective October 1, 2010.
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40297
We have also considered the concerns
raised by industry representatives that
restoring the intended payment levels
will result in job losses and add
significant burden to health care
workers and State governments. CMS
cost report and Online Survey
Certification and Reporting System
(OSCAR) data show that, for the
majority of SNFs that operate as
freestanding facilities or as parts of
chains, there has been little change in
staffing or in facility costs since 2006.
Therefore, as data do not indicate that
the overpayment was used to increase
staffing during this time, we do not
believe that restoring payments to their
intended and appropriate levels should
necessarily result in job losses or add
significant burden to health care
workers and State governments. Further,
in its March 2009 Report to the Congress
(available online at https://
www.medpac.gov/documents/
Mar09_EntireReport.pdf), MedPAC
reports that average Medicare margins
have increased for freestanding SNFs
since 2005. In 2007, the aggregate
Medicare margin for freestanding SNFs
was 14.5 percent, up from 13.3 percent
in 2006.
A few commenters expressed concern
that the recalibration would have the
same impact as the original
implementation of the SNF PPS in the
late 1990s, which they asserted had
pushed providers into bankruptcy.
However, studies have indicated
multiple factors for those nursing home
closures. Castle et al studied the rate of
nursing home closures for 7 years
(1999–2005).1 Those reasons for
bankruptcy included internal factors
such as quality, organizational factors
such as chain membership, and external
factors such as competition. Nursing
homes most likely to close included
those with higher rates of deficiency
citations, hospital-based facilities, chain
members, small bed size, and facilities
located in markets with high levels of
competition. A recent study examined
nursing homes terminated from the
Medicare and Medicaid programs.2 The
study found that the introduction of the
prospective case-mix system was not the
sole cause of the fiscal instabilities that
led these providers to terminate their
participation in Medicare. The authors
state that some of the fiscal instability
was self-inflicted, due to investment
1 Castle NG, Engberg J, Lave J, Fisher A. Factors
Associated with Increasing Nursing Home Closures,
Health Services Research 44: (3) June 2009, pp.
1088–1109.
2 Zinn J, Mor V, Feng Z, Intrator O. Determinants
of performance failure in the nursing home
industry, Social Science & Medicine 68: (5), March,
2009, pp. 933–940.
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decisions made in an uncertain market
and misreading the changing
reimbursement environment.
A similar finding had been reported
in the March 2002 MedPAC report.3
MedPAC noted that the ability to service
debt was the same under PPS as under
cost-based payments. Finally, a 2000
GAO report stated that the bankruptcies
resulted from heavy business
investments in ancillary service lines
and high capital-related costs such as
depreciation, interest, and rent.4
Research fails to indicate that casemix reimbursement is a significant
contributor to nursing home
bankruptcy. Thus, we do not agree with
the commenters who asserted that the
recalibration of Medicare CMIs to
restore budget neutrality on a
prospective basis will force providers
into bankruptcy, or create the type of
fiscal pressure that would negatively
affect facility staffing or the quality of
care furnished to Medicare
beneficiaries. As regards the comment
that CMS should reconsider the
recalibration in light of the potential
impact on a weak economy, we do not
believe that a weak economy justifies
perpetuating an overpayment.
Comment: Several commenters
asserted that a shift in patients from
Inpatient Rehabilitation Facilities (IRFs)
to SNFs results in savings to the
Medicare Trust Fund and that the
current SNF spending levels are needed
to treat higher acuity patients that are
now being treated in SNFs rather than
IRFs. They asserted that the
recalibration adjustment should not be
made because SNFs used the money to
expand their infrastructures to handle
more seriously ill patients who were
previously treated in IRFs, and that their
actions actually saved Medicare dollars.
Specifically, these commenters asserted
that a shift of patients from IRFs to SNFs
resulted in savings to the Medicare
Trust Fund, and that SNFs need to
maintain current SNF spending levels to
treat this new type of patients.
Underlying these comments is the
assumption that SNFs are providing
care for the same type of patients who
would otherwise qualify for the higher
IRF payments.
Response: We note that a basic
principle of the SNF PPS is to pay
appropriately for the services provided.
CMS data are consistent with the
commenters’ assertions that many
patients formerly being treated in IRFs
are now being treated in SNFs or Home
Health Agencies (HHAs). In fact, our
data show that a portion of patients
needing rehabilitation have always been
treated at SNFs and HHAs. The CY 2006
distribution used to recalibrate the casemix adjustments reflects an increase in
rehabilitation patients, and probably
includes patients who might have been
admitted to the higher-paying IRFs prior
to CMS enforcement of IRF facility
compliance criteria and more intensive
medical review of IRF claims. However,
we do not agree that these patients
represent a higher level of acuity than
the type of patients historically treated
in SNFs. In fact, the decrease in the
number of patients admitted to IRFs
reflects that subset of the rehabilitation
population that was not appropriate for
IRF care. As such, CMS may have
overpaid IRFs for more routine
orthopedic cases, such as single joint
knee replacements. For those former IRF
patients who are appropriate for SNF
care, we must pay the appropriate rate
for the SNF services provided, and
cannot use a reduction in IRF
overpayments as a reason to increase
payments under the SNF PPS. In
discussing the proposed recalibration, it
is important to bear in mind that
recalibrating CMIs would not change the
relative nature of higher payments for
patients using more staff resources and
services.
Accordingly, for the reasons specified
in the FY 2010 proposed rule (74 FR
22214–22215), we are finalizing the
recalibration of the parity adjustment to
the RUG–53 case-mix indexes in order
to restore the intended parity in overall
payments between the RUG–44 model
and the RUG–53 model, and the factor
used to recognize variability in NTA
utilization, using the methodology
described in the FY 2009 proposed and
final rules (73 FR 25923, 73 FR 46421–
24). Thus, for FY 2010, the aggregate
impact of this recalibration would be
the difference between payments
calculated using the original FY 2006
total CMI increase of 17.9 percent and
payments calculated using the
recalibrated total CMI increase of 9.68
percent. The total difference is a
decrease in payments of $1.05 billion
(on an incurred basis) in payments for
FY 2010. We also note that the negative
$1.05 billion would be partly offset by
the FY 2010 market basket adjustment
factor of 2.2 percent, or $690 million,
with a net result of a negative 1.1
percent update of $360 million for FY
2010. Again, we want to emphasize that
we are implementing the recalibration
on a prospective basis, which is the
strategy that we believe best mitigates
the potential impact on providers. By
using CY 2006 claims data (which
represent actual RUG–53 utilization),
rather than FY 2001 claims data, we
believe the SNF PPS will better reflect
resources used, resulting in more
accurate payment.
We list the case-mix adjusted
payment rates separately for urban and
rural SNFs in Tables 4 and 5, with the
corresponding case-mix values. These
tables do not reflect the AIDS add-on
enacted by section 511 of the MMA,
which we apply only after making all
other adjustments (wage and case-mix).
TABLE 4—RUG–53—CASE-MIX ADJUSTED FEDERAL RATES AND ASSOCIATED INDEXES, URBAN
mstockstill on DSKH9S0YB1PROD with RULES2
RUG–III
category
Nursing
index
RUX ..............................
RUL ..............................
RVX ..............................
RVL ..............................
RHX ..............................
RHL ..............................
RMX .............................
RML ..............................
RLX ..............................
RUC .............................
RUB ..............................
1.77
1.31
1.44
1.24
1.33
1.27
1.80
1.57
1.22
1.20
0.92
3 Report to the Congress: Medicare Payment
Policy, ‘‘Section 2D: Skilled nursing facility,’’
March 2002, pp. 85–90.
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Therapy
index
Jkt 217001
2.25
2.25
1.41
1.41
0.94
0.94
0.77
0.77
0.43
2.25
2.25
Nursing
component
Therapy
component
274.76
203.35
223.53
192.49
206.46
197.14
279.41
243.71
189.38
186.28
142.81
263.09
263.09
164.87
164.87
109.91
109.91
90.04
90.04
50.28
263.09
263.09
4 General Accounting Office. Nursing homes:
aggregate Medicare payments are adequate despite
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Non-case mix
therapy comp.
Non-case mix
component
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
Total rate
617.07
545.66
467.62
436.58
395.59
386.27
448.67
412.97
318.88
528.59
485.12
bankruptcies. No T–HEHS–00–192. Washington
(DC), GAO. September 2000.
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40299
TABLE 4—RUG–53—CASE-MIX ADJUSTED FEDERAL RATES AND ASSOCIATED INDEXES, URBAN—Continued
RUG–III
category
Nursing
index
RUA ..............................
RVC ..............................
RVB ..............................
RVA ..............................
RHC .............................
RHB ..............................
RHA ..............................
RMC .............................
RMB .............................
RMA .............................
RLB ..............................
RLA ..............................
SE3 ..............................
SE2 ..............................
SE1 ..............................
SSC ..............................
SSB ..............................
SSA ..............................
CC2 ..............................
CC1 ..............................
CB2 ..............................
CB1 ..............................
CA2 ..............................
CA1 ..............................
IB2 ................................
IB1 ................................
IA2 ................................
IA1 ................................
BB2 ..............................
BB1 ..............................
BA2 ..............................
BA1 ..............................
PE2 ..............................
PE1 ..............................
PD2 ..............................
PD1 ..............................
PC2 ..............................
PC1 ..............................
PB2 ..............................
PB1 ..............................
PA2 ..............................
PA1 ..............................
0.78
1.14
1.01
0.77
1.13
1.03
0.88
1.07
1.01
0.97
1.06
0.79
1.72
1.38
1.17
1.14
1.05
1.02
1.13
0.99
0.91
0.84
0.83
0.75
0.69
0.67
0.57
0.53
0.68
0.65
0.56
0.48
0.79
0.77
0.72
0.70
0.66
0.65
0.52
0.50
0.49
0.46
Therapy
index
2.25
1.41
1.41
1.41
0.94
0.94
0.94
0.77
0.77
0.77
0.43
0.43
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
Nursing
component
Therapy
component
121.08
176.96
156.78
119.53
175.41
159.89
136.60
166.10
156.78
150.57
164.54
122.63
267.00
214.22
181.62
176.96
162.99
158.33
175.41
153.68
141.26
130.39
128.84
116.42
107.11
104.00
88.48
82.27
105.56
100.90
86.93
74.51
122.63
119.53
111.77
108.66
102.45
100.90
80.72
77.62
76.06
71.41
Non-case mix
therapy comp.
Non-case mix
component
263.09
164.87
164.87
164.87
109.91
109.91
109.91
90.04
90.04
90.04
50.28
50.28
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
15.40
15.40
15.40
15.40
15.40
15.40
15.40
15.40
15.40
15.40
15.40
15.40
15.40
15.40
15.40
15.40
15.40
15.40
15.40
15.40
15.40
15.40
15.40
15.40
15.40
15.40
15.40
15.40
15.40
15.40
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
79.22
Total rate
463.39
421.05
400.87
363.62
364.54
349.02
325.73
335.36
326.04
319.83
294.04
252.13
361.62
308.84
276.24
271.58
257.61
252.95
270.03
248.30
235.88
225.01
223.46
211.04
201.73
198.62
183.10
176.89
200.18
195.52
181.55
169.13
217.25
214.15
206.39
203.28
197.07
195.52
175.34
172.24
170.68
166.03
TABLE 5—RUG–53—CASE-MIX ADJUSTED FEDERAL RATES AND ASSOCIATED INDEXES, RURAL
mstockstill on DSKH9S0YB1PROD with RULES2
RUG–III category
Nursing index
Therapy index
1.77
1.31
1.44
1.24
1.33
1.27
1.80
1.57
1.22
1.20
0.92
0.78
1.14
1.01
0.77
1.13
1.03
0.88
1.07
1.01
0.97
1.06
2.25
2.25
1.41
1.41
0.94
0.94
0.77
0.77
0.43
2.25
2.25
2.25
1.41
1.41
1.41
0.94
0.94
0.94
0.77
0.77
0.77
0.43
RUX ..............................
RUL ..............................
RVX ..............................
RVL ..............................
RHX ..............................
RHL ..............................
RMX .............................
RML ..............................
RLX ..............................
RUC .............................
RUB ..............................
RUA ..............................
RVC ..............................
RVB ..............................
RVA ..............................
RHC .............................
RHB ..............................
RHA ..............................
RMC .............................
RMB .............................
RMA .............................
RLB ..............................
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19:48 Aug 10, 2009
Jkt 217001
PO 00000
Frm 00013
Nursing
component
Therapy
component
262.51
194.29
213.57
183.90
197.25
188.35
266.96
232.85
180.94
177.97
136.45
115.68
169.07
149.79
114.20
167.59
152.76
130.51
158.69
149.79
143.86
157.21
Fmt 4701
Sfmt 4700
303.37
303.37
190.11
190.11
126.74
126.74
103.82
103.82
57.98
303.37
303.37
303.37
190.11
190.11
190.11
126.74
126.74
126.74
103.82
103.82
103.82
57.98
Non-case mix
therapy comp.
Non-case mix
component
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
E:\FR\FM\11AUR2.SGM
11AUR2
Total rate
646.57
578.35
484.37
454.70
404.68
395.78
451.47
417.36
319.61
562.03
520.51
499.74
439.87
420.59
385.00
375.02
360.19
337.94
343.20
334.30
328.37
295.88
40300
Federal Register / Vol. 74, No. 153 / Tuesday, August 11, 2009 / Rules and Regulations
TABLE 5—RUG–53—CASE-MIX ADJUSTED FEDERAL RATES AND ASSOCIATED INDEXES, RURAL—Continued
RUG–III category
Nursing index
Therapy index
0.79
1.72
1.38
1.17
1.14
1.05
1.02
1.13
0.99
0.91
0.84
0.83
0.75
0.69
0.67
0.57
0.53
0.68
0.65
0.56
0.48
0.79
0.77
0.72
0.70
0.66
0.65
0.52
0.50
0.49
0.46
0.43
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
RLA ..............................
SE3 ..............................
SE2 ..............................
SE1 ..............................
SSC ..............................
SSB ..............................
SSA ..............................
CC2 ..............................
CC1 ..............................
CB2 ..............................
CB1 ..............................
CA2 ..............................
CA1 ..............................
IB2 ................................
IB1 ................................
IA2 ................................
IA1 ................................
BB2 ..............................
BB1 ..............................
BA2 ..............................
BA1 ..............................
PE2 ..............................
PE1 ..............................
PD2 ..............................
PD1 ..............................
PC2 ..............................
PC1 ..............................
PB2 ..............................
PB1 ..............................
PA2 ..............................
PA1 ..............................
mstockstill on DSKH9S0YB1PROD with RULES2
3. Wage Index Adjustment to Federal
Rates
Section 1888(e)(4)(G)(ii) of the Act
requires that we adjust the Federal rates
to account for differences in area wage
levels, using a wage index that we find
appropriate. Since the inception of a
PPS for SNFs, we have used hospital
wage data in developing a wage index
to be applied to SNFs.
In the FY 2010 proposed rule, we
proposed to continue that practice, as
we continue to believe that in the
absence of SNF-specific wage data,
using the hospital inpatient wage index
is appropriate and reasonable for the
SNF PPS. As explained in the update
notice for FY 2005 (69 FR 45786, July
30, 2004), the SNF PPS does not use the
hospital area wage index’s occupational
mix adjustment, as this adjustment
serves specifically to define the
occupational categories more clearly in
a hospital setting; moreover, the
collection of the occupational wage data
also excludes any wage data related to
SNFs. Therefore, we believe that using
the updated wage data exclusive of the
occupational mix adjustment continues
to be appropriate for SNF payments.
In the FY 2010 proposed rule, we also
proposed to continue using the same
methodology discussed in the SNF PPS
VerDate Nov<24>2008
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Nursing
component
Therapy
component
117.16
255.09
204.67
173.52
169.07
155.73
151.28
167.59
146.83
134.96
124.58
123.10
111.23
102.33
99.37
84.54
78.60
100.85
96.40
83.05
71.19
117.16
114.20
106.78
103.82
97.88
96.40
77.12
74.16
72.67
68.22
Non-case mix
therapy comp.
Non-case mix
component
57.98
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
16.45
16.45
16.45
16.45
16.45
16.45
16.45
16.45
16.45
16.45
16.45
16.45
16.45
16.45
16.45
16.45
16.45
16.45
16.45
16.45
16.45
16.45
16.45
16.45
16.45
16.45
16.45
16.45
16.45
16.45
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
80.69
final rule for FY 2008 (72 FR 43423) to
address those geographic areas in which
there are no hospitals and, thus, no
hospital wage index data on which to
base the calculation of the FY 2010 SNF
PPS wage index. For rural geographic
areas that do not have hospitals and,
therefore, lack hospital wage data on
which to base an area wage adjustment,
we proposed to use the average wage
index from all contiguous CBSAs as a
reasonable proxy. This methodology is
used to construct the wage index for
rural Massachusetts. However, we
indicated that we would not apply this
methodology to rural Puerto Rico due to
the distinct economic circumstances
that exist there, but instead would
continue using the most recent wage
index previously available for that area.
For urban areas without specific
hospital wage index data, we proposed
to use the average wage indexes of all
of the urban areas within the State to
serve as a reasonable proxy for the wage
index of that urban CBSA. The only
urban area without wage index data
available is CBSA (25980) HinesvilleFort Stewart, GA.
The comments that we received on
the wage index adjustment to the
Federal rates, and our responses to those
comments, appear below.
PO 00000
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Fmt 4701
Sfmt 4700
Total rate
255.83
352.23
301.81
270.66
266.21
252.87
248.42
264.73
243.97
232.10
221.72
220.24
208.37
199.47
196.51
181.68
175.74
197.99
193.54
180.19
168.33
214.30
211.34
203.92
200.96
195.02
193.54
174.26
171.30
169.81
165.36
Comment: A commenter requested
that CMS develop a method of gathering
wage data information that would
directly reflect the wages earned in both
rural and urban SNF settings.
Response: As described above,
hospital wage data are used in
developing a wage index to be applied
to SNFs. All hospitals, both rural and
urban, are used to establish the hospital
wage data used to construct the SNF
PPS wage index. Therefore, we believe
that the SNF PPS wage index adequately
captures earned wages across both
urban and rural settings. Further, as
discussed in greater detail below, we
have been unable to develop a SNFspecific wage index due to ‘‘* * * the
volatility of existing SNF wage data and
the significant amount of resources that
would be required to improve the
quality of that data’’ (73 FR 46426,
August 8, 2008).
Comment: Several commenters asked
CMS to consider adopting certain wage
index policies in use under the acute
IPPS, such as reclassification, because
SNFs compete in a similar labor pool as
acute care hospitals. In addition, a few
commenters recommended that CMS
develop a SNF-specific wage index. One
commenter requested that we revisit the
use of CBSA labor market areas and
E:\FR\FM\11AUR2.SGM
11AUR2
Federal Register / Vol. 74, No. 153 / Tuesday, August 11, 2009 / Rules and Regulations
develop an alternative that better
captures Statewide labor market trends.
Response: The regulations that govern
the SNF PPS currently do not provide
a mechanism for allowing providers to
seek geographic reclassification.
Moreover, as we have explained in the
past (most recently, in the SNF PPS
final rule for FY 2009 (73 FR 46416,
46426, August 8, 2008), while section
315 of the Benefits Improvement and
Protection Act of 2000 (BIPA, Pub. L.
106–554) does authorize us to establish
such a reclassification methodology
under the SNF PPS, it additionally
stipulates that such reclassification
cannot be implemented until we have
collected the data necessary to establish
a SNF-specific wage index. This, in
turn, has proven to be infeasible due to
‘‘* * * the volatility of existing SNF
wage data and the significant amount of
resources that would be required to
improve the quality of that data’’ (73 FR
46426, August 8, 2008). We continue to
believe that these factors make it
unlikely for such an approach to yield
meaningful improvements in our ability
to determine facility payments, or to
justify the significant increase in
administrative resources as well as
burden on providers what this type of
data collection would involve.
In addition, we reviewed the
Medicare Payment Advisory
Commission’s (MedPAC) wage index
recommendations as discussed in
MedPAC’s June 2007 report entitled,
‘‘Report to Congress: Promoting Greater
Efficiency in Medicare.’’ Although some
commenters recommend that we adopt
the IPPS wage index policies such as
reclassification and floor policies, we
note that MedPAC’s June 2007 report to
Congress recommends that Congress
‘‘repeal the existing hospital wage index
statute, including 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. In addition,
MedPAC found that the exceptions may
lead to anomalies in the wage index. By
adopting the IPPS reclassification and
exceptions at this time, the SNF PPS
wage index could become vulnerable to
problems similar to those that MedPAC
identified in their June 2007 Report to
Congress. However, we will continue to
review and consider MedPAC’s
recommendations on a refined or
alternative wage index methodology for
the SNF PPS in future years.
We also note that section 106(b)(2) of
the Medicare Improvements and
Extension Act (MIEA) of 2006 (which is
Division B of the Tax Relief and Health
Care Act (TRHCA) of 2006, Public Law
109–432, collectively referred to as
‘‘MIEA–TRHCA’’) required the Secretary
of Health and Human Services, taking
into account MedPAC’s
recommendations on the Medicare wage
index classification system, to include
in the FY 2009 IPPS proposed rule one
or more proposals to revise the wage
index adjustment applied under section
1886(d)(3)(E) of the Act for purposes of
the IPPS. To assist CMS in meeting the
requirements of section 106(b)(2) of
MIEA–TRHCA, in February 2008, CMS
awarded a Task Order under its
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
by MedPAC. Part One 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 are
presented in the FY 2009 IPPS final rule
(https://edocket.access.gpo.gov/2008/
pdf/E8-17914.pdf). We plan to continue
monitoring wage index research efforts
and the impact or influence they may
have for the SNF PPS wage index.
Moreover, in light of all of the
pending research and review of wage
index issues in general, we believe that
it would be premature at this time to
initiate revisiting the use of CBSA labor
market areas and review of a SNFspecific wage index.
Therefore, in this final rule, we will
continue to use hospital wage data
40301
exclusive of the occupational mix
adjustment to calculate the SNF PPS
wage index adjustment, and we are
finalizing the wage index and associated
policies as proposed in the SNF PPS
proposed rule for FY 2010 (74 FR
22217–22219, May 12, 2009).
To calculate the SNF PPS wage index
adjustment, we apply the wage index
adjustment to the labor-related portion
of the Federal rate, which is 69.840
percent of the total rate. This percentage
reflects the labor-related relative
importance for FY 2010, using the
revised and rebased FY 2004-based
market basket. The labor-related relative
importance for FY 2009 was 69.783, as
shown in Table 16. We calculate the
labor-related relative importance from
the SNF market basket, and it
approximates the labor-related portion
of the total costs after taking into
account historical and projected price
changes between the base year and FY
2010. The price proxies that move the
different cost categories in the market
basket do not necessarily change at the
same rate, and the relative importance
captures these changes. Accordingly,
the relative importance figure more
closely reflects the cost share weights
for FY 2010 than the base year weights
from the SNF market basket.
We calculate the labor-related relative
importance for FY 2010 in four steps.
First, we compute the FY 2010 price
index level for the total market basket
and each cost category of the market
basket. Second, we calculate a ratio for
each cost category by dividing the FY
2010 price index level for that cost
category by the total market basket price
index level. Third, we determine the FY
2010 relative importance for each cost
category by multiplying this ratio by the
base year (FY 2004) weight. Finally, we
add the FY 2010 relative importance for
each of the labor-related cost categories
(wages and salaries, employee benefits,
non-medical professional fees, laborintensive services, and a portion of
capital-related expenses) to produce the
FY 2010 labor-related relative
importance. Tables 6 and 7 show the
Federal rates by labor-related and nonlabor-related components.
mstockstill on DSKH9S0YB1PROD with RULES2
TABLE 6—RUG–53—CASE-MIX ADJUSTED FEDERAL RATES FOR URBAN SNFS BY LABOR AND NON-LABOR COMPONENT
RUG–III category
RUX
RUL
RVX
RVL
RHX
RHL
Total rate
.............................................................................................................................................
..............................................................................................................................................
..............................................................................................................................................
..............................................................................................................................................
.............................................................................................................................................
..............................................................................................................................................
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617.07
545.66
467.62
436.58
395.59
386.27
E:\FR\FM\11AUR2.SGM
11AUR2
Labor portion
430.96
381.09
326.59
304.91
276.28
269.77
Non-labor
portion
186.11
164.57
141.03
131.67
119.31
116.50
40302
Federal Register / Vol. 74, No. 153 / Tuesday, August 11, 2009 / Rules and Regulations
TABLE 6—RUG–53—CASE-MIX ADJUSTED FEDERAL RATES FOR URBAN SNFS BY LABOR AND NON-LABOR
COMPONENT—Continued
RUG–III category
Total rate
RMX .............................................................................................................................................
RML .............................................................................................................................................
RLX ..............................................................................................................................................
RUC .............................................................................................................................................
RUB .............................................................................................................................................
RUA .............................................................................................................................................
RVC .............................................................................................................................................
RVB ..............................................................................................................................................
RVA ..............................................................................................................................................
RHC .............................................................................................................................................
RHB .............................................................................................................................................
RHA .............................................................................................................................................
RMC .............................................................................................................................................
RMB .............................................................................................................................................
RMA .............................................................................................................................................
RLB ..............................................................................................................................................
RLA ..............................................................................................................................................
SE3 ..............................................................................................................................................
SE2 ..............................................................................................................................................
SE1 ..............................................................................................................................................
SSC ..............................................................................................................................................
SSB ..............................................................................................................................................
SSA ..............................................................................................................................................
CC2 ..............................................................................................................................................
CC1 ..............................................................................................................................................
CB2 ..............................................................................................................................................
CB1 ..............................................................................................................................................
CA2 ..............................................................................................................................................
CA1 ..............................................................................................................................................
IB2 ................................................................................................................................................
IB1 ................................................................................................................................................
IA2 ................................................................................................................................................
IA1 ................................................................................................................................................
BB2 ..............................................................................................................................................
BB1 ..............................................................................................................................................
BA2 ..............................................................................................................................................
BA1 ..............................................................................................................................................
PE2 ..............................................................................................................................................
PE1 ..............................................................................................................................................
PD2 ..............................................................................................................................................
PD1 ..............................................................................................................................................
PC2 ..............................................................................................................................................
PC1 ..............................................................................................................................................
PB2 ..............................................................................................................................................
PB1 ..............................................................................................................................................
PA2 ..............................................................................................................................................
PA1 ..............................................................................................................................................
448.67
412.97
318.88
528.59
485.12
463.39
421.05
400.87
363.62
364.54
349.02
325.73
335.36
326.04
319.83
294.04
252.13
361.62
308.84
276.24
271.58
257.61
252.95
270.03
248.30
235.88
225.01
223.46
211.04
201.73
198.62
183.10
176.89
200.18
195.52
181.55
169.13
217.25
214.15
206.39
203.28
197.07
195.52
175.34
172.24
170.68
166.03
Labor portion
313.35
288.42
222.71
369.17
338.81
323.63
294.06
279.97
253.95
254.59
243.76
227.49
234.22
227.71
223.37
205.36
176.09
252.56
215.69
192.93
189.67
179.91
176.66
188.59
173.41
164.74
157.15
156.06
147.39
140.89
138.72
127.88
123.54
139.81
136.55
126.79
118.12
151.73
149.56
144.14
141.97
137.63
136.55
122.46
120.29
119.20
115.96
Non-labor
portion
135.32
124.55
96.17
159.42
146.31
139.76
126.99
120.90
109.67
109.95
105.26
98.24
101.14
98.33
96.46
88.68
76.04
109.06
93.15
83.31
81.91
77.70
76.29
81.44
74.89
71.14
67.86
67.40
63.65
60.84
59.90
55.22
53.35
60.37
58.97
54.76
51.01
65.52
64.59
62.25
61.31
59.44
58.97
52.88
51.95
51.48
50.07
TABLE 7—RUG–53—CASE-MIX ADJUSTED FEDERAL RATES FOR RURAL SNFS BY LABOR AND NON-LABOR COMPONENT
mstockstill on DSKH9S0YB1PROD with RULES2
RUG–III category
Total rate
RUX .............................................................................................................................................
RUL ..............................................................................................................................................
RVX ..............................................................................................................................................
RVL ..............................................................................................................................................
RHX .............................................................................................................................................
RHL ..............................................................................................................................................
RMX .............................................................................................................................................
RML .............................................................................................................................................
RLX ..............................................................................................................................................
RUC .............................................................................................................................................
RUB .............................................................................................................................................
RUA .............................................................................................................................................
RVC .............................................................................................................................................
RVB ..............................................................................................................................................
RVA ..............................................................................................................................................
RHC .............................................................................................................................................
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Jkt 217001
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Fmt 4701
Sfmt 4700
646.57
578.35
484.37
454.70
404.68
395.78
451.47
417.36
319.61
562.03
520.51
499.74
439.87
420.59
385.00
375.02
E:\FR\FM\11AUR2.SGM
11AUR2
Labor portion
451.56
403.92
338.28
317.56
282.63
276.41
315.31
291.48
223.22
392.52
363.52
349.02
307.21
293.74
268.88
261.91
Non-labor
portion
195.01
174.43
146.09
137.14
122.05
119.37
136.16
125.88
96.39
169.51
156.99
150.72
132.66
126.85
116.12
113.11
40303
Federal Register / Vol. 74, No. 153 / Tuesday, August 11, 2009 / Rules and Regulations
TABLE 7—RUG–53—CASE-MIX ADJUSTED FEDERAL RATES FOR RURAL SNFS BY LABOR AND NON-LABOR
COMPONENT—Continued
RUG–III category
Total rate
mstockstill on DSKH9S0YB1PROD with RULES2
RHB .............................................................................................................................................
RHA .............................................................................................................................................
RMC .............................................................................................................................................
RMB .............................................................................................................................................
RMA .............................................................................................................................................
RLB ..............................................................................................................................................
RLA ..............................................................................................................................................
SE3 ..............................................................................................................................................
SE2 ..............................................................................................................................................
SE1 ..............................................................................................................................................
SSC ..............................................................................................................................................
SSB ..............................................................................................................................................
SSA ..............................................................................................................................................
CC2 ..............................................................................................................................................
CC1 ..............................................................................................................................................
CB2 ..............................................................................................................................................
CB1 ..............................................................................................................................................
CA2 ..............................................................................................................................................
CA1 ..............................................................................................................................................
IB2 ................................................................................................................................................
IB1 ................................................................................................................................................
IA2 ................................................................................................................................................
IA1 ................................................................................................................................................
BB2 ..............................................................................................................................................
BB1 ..............................................................................................................................................
BA2 ..............................................................................................................................................
BA1 ..............................................................................................................................................
PE2 ..............................................................................................................................................
PE1 ..............................................................................................................................................
PD2 ..............................................................................................................................................
PD1 ..............................................................................................................................................
PC2 ..............................................................................................................................................
PC1 ..............................................................................................................................................
PB2 ..............................................................................................................................................
PB1 ..............................................................................................................................................
PA2 ..............................................................................................................................................
PA1 ..............................................................................................................................................
Section 1888(e)(4)(G)(ii) of the Act
also requires that we apply this wage
index in a manner that does not result
in aggregate payments that are greater or
less than would otherwise be made in
the absence of the wage adjustment. For
FY 2010 (Federal rates effective October
1, 2009), we apply an adjustment to
fulfill the budget neutrality requirement.
We meet this requirement by
multiplying each of the components of
the unadjusted Federal rates by a budget
neutrality factor equal to the ratio of the
weighted average wage adjustment
factor for FY 2009 to the weighted
average wage adjustment factor for FY
2010. For this calculation, we use the
same 2007 claims utilization data for
both the numerator and denominator of
this ratio. We define the wage
adjustment factor used in this
calculation as the labor share of the rate
component multiplied by the wage
index plus the non-labor share of the
rate component. The budget neutrality
factor for this year is 1.0010. The wage
index applicable to FY 2010 is set forth
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in Tables A and B, which appear in the
Addendum of this final rule.
Comment: One commenter estimated
SNF reimbursements using both the FY
2010 SNF wage index in the proposed
rule and in the absence of a wage index
using simulation. The commenter found
that SNF reimbursement was about $400
million lower with the wage index
adjustment than without it. The
commenter believes that CMS is
incorrectly adjusting for the wage index
and that payments during the 2002–
2009 timeframe are more than $2 billion
too low.
Response: The intent of the wage
index budget neutrality factor is to make
sure that aggregate payments using the
updated wage index are not greater or
less than aggregate payments would be
using the previous year’s wage index.
Because the wage index is based on the
pre-floor, pre-reclassified, no
occupational mix hospital wage index,
the weighted average wage index would
be equal to 1.0000 for hospitals.
However, there are often multiple SNFs
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Fmt 4701
Sfmt 4700
360.19
337.94
343.20
334.30
328.37
295.88
255.83
352.23
301.81
270.66
266.21
252.87
248.42
264.73
243.97
232.10
221.72
220.24
208.37
199.47
196.51
181.68
175.74
197.99
193.54
180.19
168.33
214.30
211.34
203.92
200.96
195.02
193.54
174.26
171.30
169.81
165.36
Labor portion
251.56
236.02
239.69
233.48
229.33
206.64
178.67
246.00
210.78
189.03
185.92
176.60
173.50
184.89
170.39
162.10
154.85
153.82
145.53
139.31
137.24
126.89
122.74
138.28
135.17
125.84
117.56
149.67
147.60
142.42
140.35
136.20
135.17
121.70
119.64
118.60
115.49
Non-labor
portion
108.63
101.92
103.51
100.82
99.04
89.24
77.16
106.23
91.03
81.63
80.29
76.27
74.92
79.84
73.58
70.00
66.87
66.42
62.84
60.16
59.27
54.79
53.00
59.71
58.37
54.35
50.77
64.63
63.74
61.50
60.61
58.82
58.37
52.56
51.66
51.21
49.87
within a wage area with varying
utilization levels. The weighted average
wage index across all SNF providers
may not be equal to 1.0000 for any given
fiscal year, so payments could go up or
down as a result of their application.
Estimation of payments relies on the
combination of the geographic wage
index value for providers along with
their distribution of service days. The
change in the wage index values along
with the utilization within each urban
or rural area determines the change in
aggregate payments related to the
previous year and, therefore, the budget
neutrality factor. The application of the
budget neutrality factor ensures that
aggregate payments will not increase or
decrease due to the year-to-year change
in the wage index. Therefore, we do not
accept the methodology applied by the
commenter, and believe that the 1.0010
budget neutrality factor will ensure
equal payments after updating to the FY
2010 SNF PPS wage index, prior to any
other policy changes.
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In the SNF PPS final rule for FY 2006
(70 FR 45026, August 4, 2005), we
adopted the changes discussed in the
Office of Management and Budget
(OMB) Bulletin No. 03–04 (June 6,
2003), available online at https://
www.whitehouse.gov/omb/bulletins/
b03-04.html, which announced revised
definitions for Metropolitan Statistical
Areas (MSAs), and the creation of
Micropolitan Statistical Areas and
Combined Statistical Areas. In addition,
OMB published subsequent bulletins
regarding CBSA changes, including
changes in CBSA numbers and titles. As
indicated in the FY 2008 SNF PPS final
rule (72 FR 43423, August 3, 2007), this
and all subsequent SNF PPS rules and
notices are considered to incorporate
the CBSA changes published in the
most recent OMB bulletin that applies
to the hospital wage data used to
determine the current SNF PPS wage
index. The OMB bulletins may be
accessed online at https://
www.whitehouse.gov/omb/bulletins/
index.html.
In adopting the OMB Core-Based
Statistical Area (CBSA) geographic
designations, we provided for a 1-year
transition with a blended wage index for
all providers. For FY 2006, the wage
index for each provider consisted of a
blend of 50 percent of the FY 2006
MSA-based wage index and 50 percent
of the FY 2006 CBSA-based wage index
(both using FY 2002 hospital data). We
referred to the blended wage index as
the FY 2006 SNF PPS transition wage
index. As discussed in the SNF PPS
final rule for FY 2006 (70 FR 45041),
subsequent to the expiration of this
1-year transition on September 30, 2006,
we used the full CBSA-based wage
index values, as now presented in
Tables A and B in the Addendum of this
final rule.
4. Updates to the Federal Rates
In accordance with section
1888(e)(4)(E) of the Act, as amended by
section 311 of the BIPA, the payment
rates in this final rule reflect an update
equal to the full SNF market basket,
estimated at 2.2 percentage points. We
continue to disseminate the rates, wage
index, and case-mix classification
methodology through the Federal
Register before the August 1 that
precedes the start of each succeeding
FY.
5. Relationship of RUG–III Classification
System to Existing Skilled Nursing
Facility Level-of-Care Criteria
As discussed in § 413.345, we include
in each update of the Federal payment
rates in the Federal Register the
designation of those specific RUGs
under the classification system that
represent the required SNF level of care,
as provided in § 409.30. This
designation reflects an administrative
presumption under the refined RUG–53
system that beneficiaries who are
correctly assigned to one of the upper 35
of the RUG–53 groups on the initial 5day, Medicare-required assessment are
automatically classified as meeting the
SNF level of care definition up to and
including the assessment reference date
on the 5-day Medicare required
assessment.
A beneficiary assigned to any of the
lower 18 groups is not automatically
classified as either meeting or not
meeting the definition, but instead
receives an individual level of care
determination using the existing
administrative criteria. This
presumption recognizes the strong
likelihood that beneficiaries assigned to
one of the upper 35 groups during the
immediate post-hospital period require
a covered level of care, which would be
less likely for those beneficiaries
assigned to one of the lower 18 groups.
In this final rule, we are continuing
the designation of the upper 35 groups
for purposes of this administrative
presumption, consisting of all groups
encompassed by the following RUG–53
categories:
• Rehabilitation plus Extensive
Services;
• Ultra High Rehabilitation;
• Very High Rehabilitation;
• High Rehabilitation;
• Medium Rehabilitation;
• Low Rehabilitation;
• Extensive Services;
• Special Care; and,
• Clinically Complex.
A discussion of the relationship of the
proposed RUG–IV classification system
to existing SNF level of care criteria
appears in section III.C.4 of this final
rule.
6. Example of Computation of Adjusted
PPS Rates and SNF Payment
Using the hypothetical SNF XYZ
described in Table 8, the following
shows the adjustments made to the
Federal per diem rate to compute the
provider’s actual per diem PPS
payment. SNF XYZ’s 12-month cost
reporting period begins October 1, 2009.
SNF XYZ’s total PPS payment would
equal $30,635. We derive the Labor and
Non-labor columns from Table 6 of this
final rule.
TABLE 8—RUG–53—SNF XYZ: LOCATED IN CEDAR RAPIDS, IA (URBAN CBSA 16300); WAGE INDEX: 0.8984
RUG group
Labor
Wage index
Adj. labor
Non-labor
Adj. rate
Percent adj.
Medicare
days
Payment
RVX ..................................
RLX ..................................
RHA ..................................
CC2 ..................................
IA2 ....................................
$326.59
222.71
227.49
188.59
127.88
0.8984
0.8984
0.8984
0.8984
0.8984
$293.41
200.08
204.38
169.43
114.89
$141.03
96.17
98.24
81.44
55.22
$434.44
296.25
302.62
250.87
170.11
$434.44
296.25
302.62
*571.98
170.11
14
30
16
10
30
$6,082.00
8,888.00
4,842.00
5,720.00
5,103.00
Total ..........................
....................
....................
....................
....................
....................
....................
100
30,635.00
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* Reflects a 128 percent adjustment from section 511 of the MMA.
C. Resource Utilization Groups, Version
4 (RUG–IV)
1. Staff Time and Resource Intensity
Verification (STRIVE) Project
In the FY 2010 proposed rule (74 FR
22208, 22220, May 12, 2009), we noted
that the SNF PPS uses the Resource
Utilization Group (RUG) to which a
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resident is assigned to make a case-mix
adjustment to that resident’s payment
amount, in order to reflect the relative
resource intensity that would typically
be associated with the resident’s clinical
condition. In this context, we discussed
our STRIVE project, which we
conducted to help ensure that the SNF
PPS payment rates reflect current
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Sfmt 4700
practices and resource needs. The
following sections discuss the
comments that we received on this issue
and related topics, along with our
responses.
a. Data Collection
To help ensure that the SNF PPS
payment rates reflect current practices
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and resource needs, CMS sponsored a
national nursing home time study,
STRIVE, which began in the Fall of
2005. Information collected in STRIVE
includes the amount of time that staff
members spend on residents and
information on residents’ physical and
clinical status derived from MDS
assessment data. As noted in the FY
2010 proposed rule (74 FR 22208,
22221, May 12, 2009), identifying the
level of staff resources needed to
provide quality care to nursing home
patients was a primary objective. For
this reason, nursing homes with poor
survey histories or pending enforcement
actions were excluded from the sample.
In addition, nursing homes with poor
quality indicator (QI) or quality measure
(QM) scores were also excluded, as were
nursing homes with low occupancy
rates, large proportions of private pay or
pediatric patients, and nursing homes
that were undergoing hardships (such as
fires or floods) that would prevent
participation in the study. The
comments that we received on this
issue, and our responses, appear below.
Sampling Methodology
A number of commenters addressed
issues regarding the sampling
methodology of the STRIVE project.
These comments fell into several major
categories:
• Sample size and margin of error.
• Random nature of the sample.
• Representativeness of the sample
and data collection process.
Sample Size and Margin of Error
Comment: Several commenters
recognized CMS’s efforts in collecting
significantly more data than that
gathered in the 1990 sample used
initially to develop RUG–III, and the
1995/1997 sample used to revise RUG–
III and establish the current CMIs that
are the basis for current Medicare rates.
However, a number of comments
asserted that the precision was too low
(that is, the margin of error too high) to
make reliable estimates for use in setting
payment rates. More specifically, these
commenters stated that the overall
margins of error for the sample that
were presented at several TEP meetings
appeared unrealistically low. These
commenters recommended that CMS
should abandon the time study
methodology, which relies on a samplebased special study, and develop a
methodology that uses population-based
administrative data.
Response: At several TEP meetings,
estimates of the overall margin of error
for Medicare and non-Medicare cases
were presented. It is worth noting that
these analyses were interim work
products and were developed during the
course of our analyses to give
stakeholders the most current
40305
information available as early as
possible to help them evaluate the
RUG–IV model. To the comment that
asserted these estimates were
unrealistically low and that we must
have failed to consider correctly the
sample design when they were
calculated, we note that these estimates
actually did account for the sample
design (both stratification and
clustering), but were adjusted in two
ways: (a) We developed procedures to
remove variance associated with case
mix, and (b) we presented a weighted
variance estimate that was based upon
all of the individual RUG groups and
which weighted more prevalent groups
more heavily than less prevalent groups
(since these would be more often used
in making payments). Basically, we
attempted to compute the margin of
error for the ‘‘typical’’ or ‘‘average’’ RUG
group after removing the effect of case
mix.
Upon further review, as noted by a
few commenters, we found minor flaws
in the methodology, and have updated
our analysis. As shown below, we
believe that the simplest and most
informative overall measure of the
precision of the sample is the margin of
error associated with the nursing and
therapy overall means. Table 9 below
presents relevant values from the
STRIVE study and from the prior 1995/
97 time study.
TABLE 9
Parameter
STRIVE
Nursing Time:
Number of cases (weighted) ................................................................................................
Mean wage-weighted time ...................................................................................................
Standard error of mean ........................................................................................................
Coefficient of variation of mean ...........................................................................................
Margin of error (percent of mean) ........................................................................................
Therapy Time:
Number of cases (weighted) ................................................................................................
Mean wage-weighted time ...................................................................................................
Standard error of mean ........................................................................................................
Coefficient of variation of mean ...........................................................................................
Margin of error (percent of mean) ........................................................................................
1995/97
time study
Percent
improvement
9,766
135.2
3.1
2.3%
±4.6%
3,933
228.3
7.2
3.2%
±6.2%
26.7
26.8
1,510
144.0
5.5
3.8%
±7.6%
1,133
86.0
3.5
4.0%
±8.0%
4.6
4.7
mstockstill on DSKH9S0YB1PROD with RULES2
Note: Coefficient of variation of the mean = (std error of mean)/(mean) * 100.
For each of these studies, the table
above presents statistics for mean
nursing time (based upon all residents
in the sample) and for therapy time
(based upon all residents who received
any therapy time). For each of these
datasets, the table presents the number
of cases (raw, unweighted counts), the
mean of the wage-weighted minutes, the
standard error of the mean, the margin
of error associated with the mean, and
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the margin of error expressed as a
percentage of the mean.
We note that for both nursing and
therapy time, the methodology used to
wage-weight time differed between the
two studies. (A detailed discussion of
the wage-weighting protocols is
presented below.) Therefore, the means,
standard errors, and margins of error
cannot be directly compared between
the two studies. We have, therefore,
computed the margin of error as a
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percentage of the mean to allow such
comparison.
It can be seen that in the STRIVE
sample, the margin of error for the
nursing time is about ±4.6 percent of
mean nursing time, compared with ±6.2
percent in the earlier study. This
represents a 26.8 percent improvement
in precision over the earlier study. For
therapy time, the STRIVE margin of
error is ±7.6 percent, a 4.7 percent
improvement over the earlier study.
With regard to therapy time, the
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improvement is modest because of the
relatively large number of cases in the
1995/97 time study that had therapy
time. We believe this is because the
sample that was used for the earlier
study was largely aimed at identifying
and enlisting nursing homes that had
Medicare residents and provided
therapy.
Thus, the STRIVE sample is larger
and has considerably more precision for
nursing time than the earlier time study.
The results of the earlier study have
served as the basis for Medicare and
Medicaid rate setting since 1998 and the
new results should, if anything, lead to
more accuracy than the data collected
more than 10 years ago. We believe that
the ability to distinguish more precisely
and accurately between patient
characteristics and varying degrees of
acuity with the time study methodology
outweighs the issues of ease of
collection and analysis of populationbased administrative data.
Comment: Some commenters said the
sample sizes for some individual RUG
groups were very low. Several
commenters focused on sampling error
due either to bias or to small sample
sizes that they believed weakened the
STRIVE study. One respondent
questioned the small sample size, and
claimed that an overall sample size of
500,000 (compared with STRIVE’s
sample of under 10,000) would be
necessary to ensure reasonable precision
in all RUG groups. While they also
stated that the margins of error
associated with overall mean nursing
and therapy times provide a useful
metric for comparing the STRIVE study
with the 1995/97 time study, several
comments expressed concerns about the
precision of individual RUG group
means as opposed to the means for the
entire sample. They observed that the
margin of error for such small RUG
groups was so large as to make the mean
staff time estimates unusable for those
groups.
Response: While a sample size of
500,000 might be appropriate for a largescale academic research project or
medical trial, the STRIVE project was
specifically designed to update the RUG
case-mix classification system to reflect
current resource utilization in nursing
homes across the country. As many
commenters pointed out, patient
characteristics have changed and patient
acuity levels have increased since the
introduction of the SNF PPS in 1998.
For STRIVE, as for many other CMS
analytic projects, there is a tradeoff
between timeliness of results, cost, and
small cell size. In fact, using the sample
size guideline recommended by the
commenter, it is unlikely that many if
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19:48 Aug 10, 2009
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not most of the programmatic changes
incorporated into the Medicare program
since its inception in 1966 could have
been successfully introduced.
It is true that the sample sizes for
some RUG groups are small and that the
margins of errors for these RUG groups
means are large. However, there are
several reasons why we believe that the
precision is sufficient for rate setting:
• Some comments appeared to
suggest that only Medicare cases were
used to produce the group means and
CMIs that were used for rate setting.
Because Medicare residents comprised
only about 14 percent of the total
weighted STRIVE sample, this would
have exacerbated problems with small
sample sizes. In fact, however, we used
the entire sample of valid cases (that is,
all cases that passed our accuracy edits),
not just Medicare cases, to produce
these group means and CMIs. Thus, the
RUG group sample sizes were
considerably larger than some
comments suggested.
• Therapy CMIs are based upon mean
therapy times for the therapy categories,
not the means for individual therapy
groups. That is, mean therapy times are
calculated for the RU, RV, RH, RM, and
RL categories and therapy CMIs are
computed based upon these category
means. The therapy CMI for a category
is then used to calculate the therapy
payment rate applied to all of that
category’s subgroups. For example, the
RU therapy CMI and corresponding rate
are applied across the RUX, RUL, RUC,
RUB, and RUA groups. Because the
therapy CMIs and therapy rate
components are computed at the
category level, the sample sizes are
considerably larger than some
comments suggest.
• We recognized that the nursing time
sample sizes were quite small for some
individual RUG groups, especially those
with tertiary splits (based on nursing
rehabilitation and depression) and for
the ‘‘Rehabilitation plus Extensive’’
groups. To address this problem, we
used regression-based estimation
procedures to develop group means and
CMIs for these groups. For example, the
individual combined RehabilitationExtensive Services RUG–IV groups (for
example, RUX) had very small sample
sizes, with weighted sample sizes
varying from less than 1 to 12 cases.
Clearly, this was an insufficient number
of cases in these individual groups to
obtain reliable individual group means
or reliable CMIs based on individual
group means. Therefore, we developed
a regression model to estimate the
overall average increase in nursing time
for providing extensive services to
residents receiving rehabilitation,
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Fmt 4701
Sfmt 4700
controlling for level of therapy and ADL
dependence. The estimated average
increase due to extensive services was
based on comparison of all
Rehabilitation-Extensive Services
residents (49 sample weighted cases)
versus all Rehabilitation-only residents
(1,261 sample weighted cases). The
nursing time estimate for each
Rehabilitation-Extensive Services group
was then calculated as the nursing time
mean for Rehabilitation-only residents
with the same level of rehabilitation and
ADL dependence plus the estimated
average increase due to extensive
services. For example, the nursing time
estimate for RUX was calculated as the
mean for RUC plus the average
extensive services increase. This
estimate is based on much larger sample
sizes and is, therefore, much more
reliable than individual RehabilitationExtensive Services group means. Similar
models and adjustments were made for
the depression and restorative therapy
splits.
• The RUG–IV model, like previous
RUG models, is structured and contains
implicit assumptions about the ordering
of group means. One assumption is that
within a category, payment rates will
increase as the ADL score (and ADL
dependence) increases. A second
assumption is that within a corridor of
ADL scores, payment rates will decrease
as one moves down the hierarchy.
Exceptions to these constraints are
called rate inversions and are to be
avoided because of the perverse
incentives they can create (for example,
when a resident qualifies for more than
one group and would produce a higher
payment in a lower group with fewer
services being provided). A considerable
effort was made to examine the
individual group means, CMIs, and rates
for possible inversions, and to make
adjustments where necessary to fix
these inversions. Inversions were fixed
employing the regression models
described above and by smoothing
techniques (for example, computing the
weighted mean of two groups that had
a small inversion and using that
weighted mean as the basis for
computing the rate for those two
groups). Some of the observed
inversions were in groups with small
sample sizes and may have been the
result of imprecise estimates of the
group means. The smoothing and
estimation procedures described above
produced payment rates that, with a few
exceptions, conformed with the RUG
model’s hierarchical constraints. Most
exceptions where rate inversions
remained involved the following rare
groups (with sample weighted number
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of cases in parenthesis): RHL (8 cases),
RML (10 cases), RLX (0 cases), RLB (21
cases), and RLA (24 cases)). The only
inversions involving larger groups were
LD1 and CD1 versus PD2. Because the
means, CMIs, and rates were
constrained as discussed above, and
were adjusted where necessary to
conform with these constraints, the
impact of any statistical imprecision
due to small sample sizes was mitigated.
• Finally, regarding those comments
which stated that the lack of sampling
precision associated with some RUG
groups meant that the STRIVE results
were too imprecise to be used with
confidence for rate setting, we note that
the logic of PPS models is that they
successfully predict cost, and that
payment rates that are based on those
models will be accurately aligned with
actual cost. The net result will be that
providers will be paid in proportion to
the cost of providing care to their
residents. Nevertheless, PPS models do
not perfectly predict cost, and there is
error inherent in using such PPS
models. This is true of the diagnosisrelated group (DRG) model used for
acute hospitals, the case-mix group
(CMG) model used for inpatient
rehabilitation hospitals, and the home
health resource group (HHRG) model
used for home health care. It has been
recognized since the late 1980s that
these models are not perfect predictors
of cost. In fact, in 2002, a Report to
Congress (‘‘Prospective Payment System
for Inpatient Services in Psychiatric
Hospitals and Exempt Units,’’ available
online at https://www.cms.hhs.gov/
InpatientPsychFacilPPS/downloads/
rptcongress.pdf) discussed the historical
limitations of PPS systems generally in
terms of predicting resource use, and a
June, 2008 MedPAC report (available
online at https://www.medpac.gov/
documents/Jun08_EntireReport.pdf)
noted that PPS models do not perfectly
predict cost. Thus, all of the Medicare
PPS models account for only a portion
of the variance associated with cost. Our
analysis shows that, with sampling
weights applied and using the full
sample, the RUG–IV model accounts for
41.5 percent of the variance in nursing
time. This statement does not mean that
the RUG–IV model should not be used
for rate setting. In fact, using the
STRIVE sample, the RUG–IV variance
explanation is higher than the 29.1
percent variance calculated for RUG–III.
As discussed above, there will always
be a certain amount of error associated
with payment rates. For the SNF PPS,
much of this inaccuracy is ‘‘averaged
out’’ when payment is made to a facility
for a large number of days and for
multiple residents. That small sample
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sizes and some degree of sampling error
may contribute to this overall estimation
error does not mean that rate setting
cannot be performed with an acceptable
level of accuracy.
Random Nature of the STRIVE Sample
Comment: Several commenters argued
that the STRIVE sample is not random,
making it unreliable for projecting
patient acuity in the development of the
new RUG–IV system. One commenter
suggested that, while there is
insufficient information to make a
conclusive finding on this point, the
potential exists that the STRIVE sample
is fatally flawed due to the presence of
bias.
A few commenters noted that at the
last stage of the design, facilities had to
be sub-sampled if the facilities were too
large to be observed in their entirety.
Due to a lack of PDAs and data
monitors, data collection was limited to
a portion of the facility, be it one or
more floors, or one or more units. The
subsample was selected by the project
staff in consultation with facility
management. The commenters stated
that the subsampling was not conducted
using any randomization method, and
may have introduced bias to the sample
and data collection.
Generally, several commenters argued
that because the STRIVE sampling plan
relied upon voluntary participation,
sample selection was not random and
may have introduced sampling biases.
Response: Selection of the STRIVE
sample involved a number of steps, and
we have acknowledged in public
documentation and at several TEP
meetings that non-random selection was
used, by necessity, at several steps in
this process. Specifically, States
volunteered for selection and were not
selected randomly. Nursing homes
volunteered to participate and were,
therefore, not selected randomly.
Finally, in larger facilities where the
entire nursing home could not be
studied, nursing units within the
nursing home were selected based upon
a pre-determined protocol, rather than
using a random procedure.
While we sought to utilize random
processes where possible (for example,
the list of facilities that were invited to
participate in the study in each State
was generated using a random
procedure), the nature of this study
precluded the use of strictly random
selection. Because CMS did not have the
authority to compel any State or nursing
home to participate in the study, it was
impossible to use a strictly random
procedure for selecting States or nursing
homes. Further, in larger nursing homes
where all nursing units could not be
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included in the study, it was not
possible to select nursing units
randomly for inclusion in the study,
because this could have introduced
difficult logistical problems for data
monitors if the selected nursing units
were located on different floors of a
building or different buildings on a
campus.
It was, therefore, apparent from the
outset of the study that the sampling
design would have to accommodate
non-random selection procedures.
Potential problems that could be
introduced by the use of non-random
selection were addressed in several
ways.
First, random procedures were used
whenever possible, such as for
generating lists of facilities that were
invited to participate in the study.
Second, where random processes were
not feasible, we developed protocols
that described exactly how selection
was to occur. For example, we used a
detailed decision tree to select nursing
units in larger facilities. This protocol
was uniform across nursing homes and
applied by the project staff who
managed the study. Use of these
protocols eliminated important types of
bias (for example, selecting a nursing
unit because it was deemed more
efficient or of better quality). Third, we
directly assessed the study’s sampling
error and quantified its precision
statistically. Fourth, we developed
sampling weights based on the sample
design that adjust the sample for overor under-sampling and produced
sample estimates that were not biased
by the design itself. A number of
analyses were performed comparing the
STRIVE sample with national OSCAR
and MDS databases to determine the
degree to which the sample was
representative (that is, the degree to
which the sample resembled the
population on important variables). The
results of these analyses are described
later in this final rule.
Sample Representativeness
Comment: Some commenters
questioned the overall
representativeness of the STRIVE
sample, stating it was biased due to a
number of factors. Commenters stated
that CMS had not made sufficient
information available to show that the
sample can be relied upon to generalize
nationally. Commenters also questioned
whether the actual sample being smaller
than the original project goal affected
the sample representativeness, and
questioned whether the sample
methodology had taken these
differences from the planned design into
account. In addition, a commenter
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asserted that CMS has not presented any
evaluation or validation of the study in
the publicly available documents.
Another bias factor mentioned by
commenters was geographic location.
Specifically, the commenters indicated
that the STRIVE sample size was too
small to be nationally representative,
that important States were omitted from
the sample, and that the 15 States that
were included in the sample were not
representative of the nation. It was also
noted that in four States, we drew
facilities from only a portion of the State
and that this could have introduced
additional geographic bias. In order to
demonstrate the potential biases
introduced by these geographic
selections, several comments included
analyses showing statistically
significant differences in claims,
OSCAR, and MDS data between the 15
States that were included in the sample
and the remaining States in the nation.
Commenters were concerned that no
data were collected from the MidAtlantic or New England regions,
California and Oregon, or in the area the
commenter characterized as the ‘‘entire
mid-section’’ of the country. One
commenter noted that the initial
STRIVE collection methodology was
tested in one center in Maryland and
that none of the preliminary data from
that center were considered.
Some commenters argued that there is
greater relative resource use with
significantly higher costs in those
missing States than in the STRIVE
States, as well as the nation overall. The
commenters indicated that the operating
characteristics of the facilities in the
STRIVE States do not appear to be
representative of the characteristics of
the facilities in the other States.
Another commenter questioned
CMS’s reference to Canadian data, given
the significant differences in the health
systems between the two countries. The
commenter asked CMS to explain how
and why Canadian data were used, and
how such data can be considered
representative of New England States,
the Mid-Atlantic States, the
Southeastern States, and California.
One commenter asserted that the
participating States were not
representative of SNFs nationwide, and
that the STRIVE sample likely may be
weighted in a manner that reflects care
patterns in rural areas and facilities
more than in urban facilities. The
commenter argued that the STRIVE
sample only included 2 of the 7 States
with a high urban ratio (the District of
Columbia, and 4 Florida facilities)
where more than 90 percent of facilities
are in an urban region. The commenter
believed that selecting the majority of
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the participating States from the
remaining 44 States (where the urbanto-rural ratio is about 70 percent to 30
percent) biased the sample.
One commenter submitted a
regression analysis suggesting that the
RUG costs, both overall and by RUG–53
category, are different in STRIVE States
when compared to non-STRIVE States,
indicating that the STRIVE relative
weight structure could be nonrepresentative. The commenter believed
that the perceived lack of
representativeness calls into question
the validity and appropriateness of the
updated weights and the recategorization of residents who were
key to the STRIVE project and critical to
the design of RUG–IV. In addition,
several commenters asserted patients
evaluated in the STRIVE sample may
not be representative of the actual acuity
of most SNF residents nationwide.
Finally, a commenter claimed that
CMS failed to make publicly available
sufficient information to allow for an
external evaluation of the impact. As a
result, the commenter concluded that it
is not known how much bias might have
been added to the estimators of the
mean staff time due to these
nonsampling errors. The commenter
recommended performing further
analysis of the current sample before
implementing the RUG–IV model, in
order to determine whether and to what
extent the sample might have been
affected by these potential biases.
Response: In response to these
comments, we note first that it would
have been best to base the sample on
either a random selection of States or on
all States in the nation. However, as
noted above, this was not possible given
the study’s resources and the voluntary
nature of the study. We note also that
the sample included both populous and
small States, predominantly urban and
predominantly rural States, and States
that were spread geographically across
the country. Thus, we disagree with
commenters that believe the study’s
sample size and geographic scope were
insufficient or led to undue bias.
Of course, in any sample that includes
less than all of the States (or indeed, less
than all facilities throughout the
country), it is always possible to
question whether the sample is
sufficiently representative of the nation
as a whole. While some commenters
suggested that selecting facilities in only
2 of the 7 States with the highest urbanto-rural ratios might have understated
STRIVE acuity levels, it is equally
possible that oversampling the States
with atypical population distributions
could have resulted in the opposite
effect. However, whether the STRIVE
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sample is representative can be and was
tested by comparing data from STRIVE
with national data to determine the
degree to which the sample statistics
match with national statistics. Some
commenters noted that the data and
analyses that were previously presented
were insufficient to judge the degree of
sampling bias that was present. We
have, therefore, performed
supplemental analysis which will be
presented later in this section.
It is true, as some commenters noted,
that our actual sample size of 205
nursing homes was smaller than the
goal of 238 nursing homes that was set
at the beginning of the study. While it
is always preferable to have a larger
sample size, we were unable, given
available time and resources, to achieve
the initial goal. During the planning
phase of the study, we projected the
expected margins of error using various
sample sizes, including the size that was
actually achieved. All things being
equal, precision is always better when
the sample size is larger, but we
determined that the incremental
precision that would have been
achieved with 238 facilities was small
and that the sample size that was
actually achieved was sufficient to meet
the analytic goals of the study.
Regarding the comment that
questioned CMS’s reference to Canadian
data, we note that in fact, the Canadian
data were not merged with the STRIVE
sample at all. Instead, we worked with
Canadian officials who were developing
their own STM study based on our
efforts: CAN–STRIVE. We have shared
data and discussed findings as a way of
testing the accuracy of our own
findings. For example, patients with
similar characteristics and care needs
required similar staff resources for
treatment. In addition, the CAN–
STRIVE project reports that applying
our RUG–IV model to their data results
in a variance explanation of weighted
nursing time of 35.4 percent. This
represents an independent and highly
successful validation of the RUG–IV
model. Far from being an inappropriate
misuse of data, we believe that this
inter-governmental collaboration
actually serves to further the interests of
both Canada and the United States.
Similarly, data from 2 facilities,
including 1 in Maryland, that were used
to pilot test the data collection process,
were used to determine facility training
needs and to finalize data collection
procedures. These pilot facilities were
crucial in testing protocols and, as a
result of honest and open staff feedback,
in modifying some of our original data
collection methods. Since the data
collection process was still under
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development, we did not include the
staff time data in the STRIVE data.
Finally, in response to the
commenters’ concerns about our
evaluation and validation of the study,
a validation methodology was built into
the STRIVE study. With the large
sample size obtained, we reserved one
third (3,253 observations) for validation:
We did not use these reserved
observations at all in the derivation of
the RUG–IV classification. After the
RUG–IV system was fully developed, we
then tested it on the validation sample.
Such a cross-validation procedure is
standard statistical practice to ensure
that a statistical model is not ‘‘overfitted,’’ meaning that some of the
relationships that appear to be
statistically significant are merely noise.
Cross-validation allows us to verify that
the model will perform well in practice,
will replicate well, and will have
reasonably accurate predictive ability.
The results showed that the derived
system described in the proposed rule
was robust. For example, the variance
explanation of nursing time (sample
weighted) of the RUG–IV system fitted
to the derivation sample was 41.8
percent, while in the validation sample,
the same statistic was 41.4 percent.
Because the results have been crossvalidated within the original STRIVE
sample, we do not consider a separate
validation study to be necessary, nor
was a separate study part of the original
STRIVE design. Further, the results of
the CAN–STRIVE project, reported
above, serve as a second type of model
validation.
Comment: Some commenters asserted
the sample was biased due to voluntary
self-selection of nursing homes that
agreed or refused to participate in the
study. Commenters questioned the
selection of facilities based on the
number of facilities the data monitors
were able to visit, indicating the sample
size within the State was driven by
resource constraints on how many
facilities could be visited, which could
introduce bias.
Another voluntary sampling issue
raised by the commenters was the
selection of facilities until enough
facilities agreed to participate. Bias
could be introduced here when such
factors as resources or staff availability
could influence the decision of a facility
to agree or not agree to participate.
A few commenters questioned the
high non-response rate. The
commenters noted that of the 837
sampled facilities, 100 were dropped by
State agencies or CMS regional offices.
Of the 737 eligible facilities, 523 were
invited to participate, 214 (about 40
percent) agreed to participate, and 205
(about 39 percent) actually participated
in the study. The STRIVE sample survey
literature indicates that voluntary
response samples are biased, as people
with strong opinions or atypical
institutions tend to respond.
Response: As with geographic
selection, we would have preferred a
design where self-selection was not a
factor. However, as noted above, CMS
did not have the authority to require
participation in the study if a facility
was randomly selected for inclusion. As
discussed in published documentation,
only 40.9 percent of the facilities invited
to participate in STRIVE agreed to be
part of the study. This acceptance rate
40309
is not surprising considering
participation required a fairly large
commitment of time and resources on
the part of the nursing home. Like those
who commented on this issue, we were
concerned that this self-selection might
have introduced biases. In particular,
we were concerned that only those
facilities with better staffing levels
might agree to participate because of the
time involved in being part of the study.
We tested this possibility using
OSCAR staffing data. Staffing data were
cleaned using standard CMS algorithms
to remove erroneous data, and were
matched to the STRIVE data. For each
nursing home in the database, both
STRIVE and non-STRIVE, we computed
the number of staff minutes per resident
day for RNs, LVNs, and aides separately.
Table 10 shows the mean minutes per
resident day by staff type for the
following groups of STRIVE nursing
homes in the first 3 rows: (1) STRIVE
nursing homes that were eliminated
from consideration by State and
Regional staff, (2) STRIVE nursing
homes that were invited but declined to
participate, and (3) STRIVE nursing
homes that participated in the study.
We also show three national groups of
nursing homes: (4) All nursing homes
nationally that passed the QI/QM and
survey deficiency quality data screens,
(5) all nursing homes nationally that
failed the quality data screens, and (6)
all nursing homes nationally. Note that
the number of facilities shown in Rows
1, 2, and 3 of the table are slightly lower
than those in previously published
documentation, because not all STRIVE
facilities could be matched to OSCAR
data.
TABLE 10
Mean minutes per resident day
Row
Group
Nursing
homes
RNs
LVNs
Aides
Total
STRIVE Nursing Homes
1 ...............
2 ...............
3 ...............
Eliminated by States and regions ..................
Declined to participate ...................................
Participated ....................................................
90
287
1 198
32.2
37.4
34.4
49.3
46.8
54.7
144.9
* 136.5
146.7
226.4
* 220.7
235.9
38.2
38.1
38.2
47.4
51.8
47.8
141.3
138.6
141.1
226.9
228.6
227.1
National Nursing Homes
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4 ...............
5 ...............
6 ...............
Passed quality data screens .........................
Excluded by quality data screens ..................
All facilities .....................................................
13,419
1,149
14,636
Notes:
1 There were 205 nursing homes that participated in the STRIVE study, but only 198 could be matched to OSCAR data.
*Asterisks indicate statistically significant differences between the values in Rows 1, 2, or 3 compared with corresponding values in Row 4.
The proper basis for comparison
between the STRIVE sample groups and
the nation is Row 4: Facilities that
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passed the quality data screens. As part
of the design, we excluded about 8
percent of all nursing homes nationally
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from the sampling frame that had very
poor QI, QM, or survey deficiency
histories (Row 5). Since these nursing
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homes were not in the sampling frame,
we would not necessarily expect the
staffing levels of STRIVE nursing homes
to match their staffing levels. Therefore,
statistical comparisons were made
between corresponding values in Rows
1, 2, and 3 and the values in Row 4.
Asterisks indicate values that are
significantly different (p < 0.05) from the
values in Row 4.
The three groups of STRIVE nursing
homes matched the national statistics in
Row 4 fairly well. Nursing homes that
declined to participate (Row 2) had
significantly lower aide and total time,
but the staff times for nursing homes
that completed the study were not
significantly different from the nation.
Therefore, we conclude that the factors
related to self-selection did not create a
sample that was biased (upwards) in
staff time.
We do not agree with the comment
that resource constraints on the number
of facilities that data monitors could
visit may have introduced another
source of bias. When a State agreed to
participate in the study, an evaluation
was made of the number of facilities
that the data monitors would be able to
visit. The sample size for the State was
agreed upon before the sample was
drawn. These resource constraints,
therefore, could not have produced a
sample bias.
Comment: A few commenters
expressed concern that the STRIVE
project did not specifically address
short-stay patients. They were
concerned that, when collecting data,
we excluded short-stay patients from
the study and only used data for
patients with lengths of stay of 7 or
more days. They indicated that shortstay patients, especially those with
hospital readmission, tend to be
unstable and have higher acuity and
resource utilization.
Response: The purpose of the STRIVE
project was to update the existing RUG–
III case-mix classification system that
was introduced on July 1, 1998. While
the RUG–III model does not include a
separate classification structure for
short-stay patients, short-stay patients
were included in the original study.
Similarly, when collecting the STRIVE
data, we included a variety of patients
from new admissions to longer-term or
chronic patients. For each unit in the
test sample, we included patients who
were admitted prior to or on the study
start date, and who remained in the
facility for the two days on which we
collected nursing staff time data. The
nursing staff time for these patients was
included in the STRIVE data. The
confusion may have arisen because we
limited the collection of therapy data to
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patients who were nursing home
patients for the entire 7 days when
therapy data were collected.
During the past few years, we have
been conducting analyses on episodes of
care (that are separate from STRIVE) and
are concerned that episodes of care
increasingly show repeated transfers
between acute and post acute care. We
agree with the commenters that these
short-stay admissions appear to be more
costly, but we have not yet determined
the reasons for these transfers. It is not
clear whether the primary reasons for
frequent readmission to an acute care
setting reflect hospital discharge
patterns, SNF care practices, or a
combination of both. Until more
research is available, we do not believe
it would be appropriate to establish a
separate payment structure for shortterm patients. In the future, we hope to
include an analysis of short-stay
patients as part of other post-acute
health care reform initiatives. In this
way, we can make appropriate
adjustments as we develop the next
generation of post acute care payment
systems.
Comment: A few other commenters
who questioned the omission of shortstay patients suggested that the
omission of this sizable and expensive
population would likely skew both
nursing time and the nursing index,
while raising questions about the
appropriateness of the reclassification of
SNF residents within the RUG
hierarchy. These commenters submitted
data that they believed showed the
following:
• This short-stay SNF resident
population has substantially higher
acuity and substantially higher resource
utilization.
• Very short stay SNF residents
account for over 21.0 percent of SNF
stays.
• The omission of this critical
population may well have
underestimated and skewed the
reclassification of SNF residents and the
nursing and therapy weights that
underlie the proposed RUG–IV system.
• Given that these very short stay,
higher acuity residents generally would
not be captured in the STRIVE data, the
conclusion of the STRIVE project
concerning resource utilization of SNF
residents who received extensive
services in the hospital may be wrong.
Response: It is true that some patients
with very short stays (discharge within
two days of admission) were not
included in the final STRIVE results.
This occurred because residents were
excluded unless complete nursing time
was available for both days of the
nursing time study in a facility. If a
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resident was admitted or discharged on
a nursing time study day, then only
incomplete nursing time data were
available for that day, and inclusion of
the resident would have resulted in an
underestimation of nursing time. This
led to exclusion of residents with a
length of stay of 2 days or less (as well
as any other residents seen in the first
or last 2 days of their longer stay).
However, we do not believe that
excluding patients with stays of 2 days
or less skewed the nursing time and
nursing case-mix weights. The STRIVE
methodology only excluded nursing
facility stays with lengths of stay of 1 or
2 days. Other short SNF stays (for
example, length of stay of 3 days) were
included in all analyses.
We note that the results submitted by
one commenter indicating that shortstay SNF residents have higher acuity
were based on the MS–DRG CMIs for
the cost of hospital care preceding the
SNF stay rather than on the cost of the
SNF stay itself, and that using the
hospital cost as a proxy for the SNF cost
might not be accurate. Further, the
hospital CMIs do not show
‘‘substantially higher resource
utilization’’ for short stays excluded by
STRIVE (1 to 2 days) versus short stays
included by STRIVE (for example, 3 to
7 days). The MS–DRG CMI decrease for
3- to 7-day stays versus 1- to 2-day stays
is 2.9 percent for short-stay SNF
patients readmitted to the hospital, 4.1
percent for short-stay SNF patients who
die in the SNF after a short stay, and 3.0
percent for short-stay SNF patients who
are discharged to another setting. While
the hospital acuity for the very short 1to 2-day stays is somewhat higher than
3- to 7-day stays, it certainly is not
‘‘substantially higher.’’
Again, we were very concerned by the
assertion that very short stays involving
21 percent of all SNF stays were
excluded, and after reviewing the data
carefully, we found the claim to be at
least partially inaccurate. The 21
percent of stays refers to stays involving
1 to 7 days. STRIVE only excluded 1- to
2-day stays, and this comprises only 5.4
percent of all SNF stays. Even this 5.4
percent of stays greatly overestimates
the actual impact of the excluded stays.
The excluded very short stays of 1 to 2
days represent only 0.2 percent of all
SNF paid days of service for a year. We
do not believe that excluding these stays
has much impact at all on (a) patterns
of resident classification, (b) the nursing
and therapy weights underlying RUG–
IV, or (c) the resulting payments to
providers. However, we do believe that
additional research is needed to
determine the reasons for the high
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volume of discharges within the first 7
days of SNF admission.
Finally, exclusion of very short 1- to
2-day stays does not invalidate STRIVE
project results concerning resource
utilization of SNF residents who
received extensive services in the
hospital. Pre-admission hospital
services were captured for residents
who were admitted 1 to 6 days before
the nursing staff time study, as long as
they were not discharged during that 2day study. The STRIVE results included
over 500 residents who were assessed
for extensive services received in the
hospital within 7 days prior to SNF
admission. Thus, the exclusion of very
short 1- to 2-day stays did not preclude
valid analysis of pre-admission
extensive services.
Comment: A few commenters stated
that we should have stratified by the
type of assessment for each resident
(5-, 14-, 30-, 60-, 90-day, quarterly,
annual, etc.), and indicated that not
doing so could have introduced biases.
One commenter referenced MedPAC’s
analysis that resource use and case-mix
can frequently vary by provider type,
noting that in California, hospital-based
SNFs tend to provide more medicallyintensive services to a more acutely ill
and injured patient population than do
freestanding SNFs. The commenter
indicated that in the proposed rule, it is
unclear that CMS measured STRIVE
data differences between hospital-based
and freestanding SNFs, and argued that
if these differences remain unmeasured
and unaccounted for, they will
ultimately lead to less accurate payment
under RUG–IV and perpetuate the
persistent decline of hospital-based
SNFs.
Response: We note that it would not
have been possible to perform such
stratification given our study design.
Once a nursing home and its nursing
units were selected for inclusion in the
study, all residents within those nursing
units were included in the study
regardless of any other characteristic,
including the type of assessment that
was due next. Because the sampleweighted STRIVE sample represents a
cross-section of nursing home residents
nationally, we believe that the sample
should approximate the national
distribution with regard to the type of
assessment that is due next for each
resident.
Moreover, while we recognize that
hospital-based, proprietary, and
nonprofit SNFs have some different
facility characteristics, CMS does not
have the authority to create separate
classification models by provider type.
During the STRIVE project, we did
collect data on all 3 provider types for
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future analysis. In this way, we can
continue to monitor the accuracy of our
payment system and adjust for changes
in patient acuity and staff resource
needs.
Comment: Some commenters alleged
that the sample under-represented
Medicare residents, specifically those in
a Medicare Part A stay. They asserted
that the number of weighted Medicare
cases in the STRIVE sample represented
only 14.1 percent of the sample, while
Medicare cases comprise 35 percent of
national MDS data.
Response: This statistic apparently
was derived from an analysis of the
national MDS database in which each
assessment was classified as PPS or
non-PPS and in which the percent of
assessments that were PPS was
considered to be identical to the percent
of residents who are Medicare residents.
However, we believe this 35 percent
figure is misleading for two reasons.
First, we have performed work where
we have matched Medicare Part A
claims with MDS data, and have
observed that a fairly large proportion of
assessments that have a PPS reason for
assessment are not actually linked with
a SNF stay. Thus, depending upon MDS
PPS assessments to identify Medicare
residents leads to an overestimate of the
number of those residents. Second, if
the comment was based upon an
analysis of a longitudinal data set, for
example, a year’s worth of MDS data,
rather than a cross-section, the Medicare
percentage will be further inflated. One
reason for this is that Medicare residents
have shorter lengths of stay and higher
turnover than non-Medicare residents
and, therefore, are over-represented
when data are analyzed longitudinally.
In addition, Medicare residents have
more assessments per resident than nonMedicare residents, because PPS
assessments must be completed more
frequently than OBRA assessments.
Therefore, the longitudinal approach
will over-represent the number of
Medicare residents present on any given
day.
In order to produce counts that can be
validly compared with the STRIVE data,
an MDS snapshot must be produced that
represents the latest assessment for each
resident who is active on a given day.
As part of our sampling process, we
built a snapshot file for March 1, 2006
and matched Part A claims with this
file. Based upon this analysis, we
estimated that about 13.5 percent of
nursing home residents are in SNF
stays, which closely matches the
national estimate from the STRIVE
sample (14.1 percent).
Comment: One commenter presented
a series of tables that compared STRIVE
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statistics on a number of MDS variables
with corresponding statistics from the
MDS national database. These tables
broke down both the STRIVE sample
and the national statistics by Medicare
versus non-Medicare, and purported to
show not only that Medicare
distributions were different from nonMedicare distributions, but that the
STRIVE distributions were different
from the national distributions, thereby
demonstrating significant bias in the
STRIVE sample.
The commenter stated that unlike the
change from RUG–44 to RUG–53, the
estimate of distribution of days under
the proposed RUG–IV is not directly
calculated based on a linked MDS/
claims data file, but rather, inferred
using the STRIVE data to estimate the
distribution of paid days in each of the
RUG–66 groups. The commenter
questioned the accuracy of the payment
impact analysis based on these
estimated distributions.
Response: For the reasons described
previously, we believe that the
commenter’s analyses are flawed in how
they classified the national data as
Medicare/non-Medicare. While we
acknowledge that there are clinical
differences between Medicare and nonMedicare residents, these analyses
appeared to reflect the premise that all
STRIVE analyses were based upon
Medicare residents only and that the
results are, therefore, misleading when
applied to the nation, stating, ‘‘STRIVE
uses the Medicare portion of the sample
to refine the existing Resource
Utilization Group (RUG) classification
system.’’ However, this statement is
incorrect. STRIVE RUG development
used both Medicare and non-Medicare
cases, relying upon a 2⁄3 development
sample and a 1⁄3 validation sample that
included both types of cases.
Furthermore, the calculation of mean
nursing and therapy times that served as
the basis for CMI calculation was based
upon all valid cases. The only time that
we limited analysis to Medicare cases
was in producing the transition matrix
used in estimating RUG–IV Medicare
days of service from actual RUG–III paid
days of service. All other development
and rate setting analyses used both
Medicare and non-Medicare cases.
It is true, as noted in the comments,
that the fiscal estimates hinge upon the
Medicare transition matrix. Ideally,
fiscal estimates would be based upon an
existing national assessment database.
However, RUG–IV classifications cannot
be performed on existing MDS 2.0 data,
and MDS 3.0 will not be implemented
for over a year, so the only way to make
financial projections based on currently
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available data is with the transition
matrix.
We do not agree, however, that this is
a critically flawed methodology. While
there may be instances in which
estimates for individual RUG–IV groups
are not precisely accurate, any
estimation errors should be random,
with estimates for some groups being
too high and others being too low
compared with actual values. When
estimates are made across all groups,
however, these random estimation
errors will tend to offset each other, and
the overall estimates will have much
greater precision.
Further, the fiscal impact estimates
have other sources of error (for example,
changes in provider behavior, changes
in the cost of specific services, etc.) that
cannot be remedied even if a national
MDS 3.0 database were available.
Estimation error due to the STRIVE
transition matrix is likely to be a
relatively small portion of the total
error. Therefore, we believe that the
overall fiscal estimates are as precise as
possible, given the uncertainties
associated with implementing a new
payment model.
Finally, we recognize the difficulty of
implementing changes to a payment
system that cannot be verified by a
review of historical data. In this case,
we estimated changes to the distribution
of paid days across the RUG–IV model,
because the RUG–IV grouper utilizes
clinical data that will not be collected
until we introduce the MDS 3.0. In
adopting this methodology, we
recognize that there is a tradeoff
between timely updating of the case-mix
system to ensure more accurate
distribution of SNF PPS payments and
the potential weakness of using
estimated data. For this reason, we have
committed to post-implementation
monitoring of the accuracy of the system
calibration. We will, if needed,
recalibrate the CMIs in the RUG–IV
model using actual data if our analyses
indicate that an adjustment is needed.
Comment: A number of commenters
expressed concern about overall sample
bias, specifically questioning how
accurately the STRIVE sample
represents residents nationally. One
commenter stated the patient mix in the
STRIVE sample is not representative of
the national SNF Medicare cases, and
thus, is not reliable in developing the
RUG–IV system. The commenter
asserted that based on the information
available, it is readily apparent that the
STRIVE sample is not representative
and cannot be used as a basis for
redefining the RUG system. The
commenter argued that comparisons of
behavioral and activity-level responses
between STRIVE Medicare cases and
Minimum Data Set 2.0 (‘‘MDS’’)
Medicare cases reveal a significant
disparity, and offered the following as
examples:
• The activities of daily living
(‘‘ADL’’) Index component for SelfPerformance item G1aa (Bed Mobility
Self-Performance) reveals a significant
difference between the STRIVE
Medicare cases and MDS Medicare
cases for the Extensive Assistance
category.
• Similarly, the ADL Index
component for Self-Performance item
G1ba (Transfer Self-Performance) shows
a significant difference between the
STRIVE Medicare cases and MDS
Medicare cases for the Extensive
Assistance categories.
• The ADL Index component for SelfPerformance item G1ha (Eating SelfPerformance) shows a significant
difference between the STRIVE
Medicare cases and MDS Medicare
cases for the Extensive Assistance
category.
• Finally, the ADL Index component
for Self-Performance item G1ia (Toilet
Use Self-Performance) shows a
significant difference between the
STRIVE Medicare cases and MDS
Medicare cases for the Extensive
Assistance category.
Thus, the commenter stated that the
comparison of behavioral and activitylevel responses between STRIVE
Medicare cases and MDS Medicare
cases provides additional support for
the commenter’s conclusion that there
are serious issues with the
representativeness of the STRIVE
sample.
Response: As discussed above, we
acknowledge that there were factors in
the sampling procedures which, though
unavoidable, may have introduced
sampling bias. To test this, we
assembled a snapshot database of MDS
data and compared the results with the
STRIVE sample on selected variables.
Table 11 compares STRIVE statistics
for the entire sample with national MDS
statistics. For these comparisons, a
cross-section of MDS data was selected,
which contained the latest assessment
for every resident who was active in a
nursing home on a given date. March 1,
2006 was selected for this analysis, so
that the data would be as
contemporaneous as possible with the
STRIVE data. Variables important to
case-mix determination were selected
for analysis. Chi-square tests were
performed to determine whether the
distribution of scores on each variable
deviated significantly from the national
distribution. The columns in Table 11
show the MDS variable, the number and
percent of cases for each value of the
variable for the nation and for STRIVE,
and an indicator of whether or not the
chi-square test showed the STRIVE
distribution to be significantly different
from the national distribution.
TABLE 11
MDS national snapshot
MDS variable
Freq
G1AA (bed mobility self-performance) ..............
mstockstill on DSKH9S0YB1PROD with RULES2
STRIVE: sample weighted
Value
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0.
1.
2.
3.
4.
8.
PO 00000
393,296
86,778
241,342
438,795
224,203
634
1,385,048
100.0
9,766
Independent ..........
Supervision ............
Limited assist ........
Extens assist .........
Total depend .........
Did not occur .........
271,891
96,985
258,049
432,545
313,808
11,817
19.6
7.0
18.6
31.2
22.7
0.9
1,600
602
1,946
3,115
2,410
93
16.4
6.2
19.9
31.9
24.7
0.9
Sfmt 4700
E:\FR\FM\11AUR2.SGM
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27.9%
6.3
16.8
29.4
19.6
0.0
Signif diff
(p < 0.05)
100.0
Fmt 4701
2,724
612
1,638
2,871
1,918
2
Pcnt
Independent ..........
Supervision ............
Limited assist ........
Extens assist .........
Total depend .........
Did not occur .........
Frm 00026
28.4%
6.3
17.4
31.7
16.2
0.0
Freq
Total ...................
G1BA (transferring self-performance) ...............
0.
1.
2.
3.
4.
8.
Pcnt
Yes.
Yes.
Federal Register / Vol. 74, No. 153 / Tuesday, August 11, 2009 / Rules and Regulations
40313
TABLE 11—Continued
MDS national snapshot
MDS variable
STRIVE: sample weighted
Value
Freq
Pcnt
Freq
Pcnt
Total ...................
mstockstill on DSKH9S0YB1PROD with RULES2
M2A (stage 3 or 4 pressure ulcer) ....................
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100.0
Independent ..........
Supervision ............
Limited assist ........
Extens assist .........
Total depend .........
Did not occur .........
206,103
79,396
215,647
451,917
427,881
4,154
14.9
5.7
15.6
32.6
30.9
0.3
1,048
450
1,548
3,338
3,181
200
10.7
4.6
15.9
34.2
32.6
2.1
1,385,098
100.0
9,766
100.0
No ..............................
Yes ............................
1,373,940
11,173
99.2
0.8
9,737
66
99.3
0.7
1,385,113
100.0
9,802
100.0
No ..............................
Yes ............................
1,343,588
22,972
98.3
1.7
9,634
163
98.3
1.7
1,366,560
100.0
9,798
100.0
No ..............................
Yes ............................
1,295,170
87,738
93.7
6.3
9,036
762
92.2
7.8
1,382,908
100.0
9,798
100.0
No ..............................
Yes ............................
1,255,886
113,052
91.7
8.3
9,138
661
93.3
6.7
1,368,938
100.0
9,799
100.0
No ..............................
Yes ............................
1,198,577
170,392
87.6
12.4
8,656
1,143
88.3
11.7
1,368,969
100.0
9,799
100.0
No ..............................
Yes ............................
1,354,628
14,356
99.0
1.0
9,595
203
97.9
2.1
1,368,984
100.0
9,799
100.0
No ..............................
Yes ............................
1,355,834
13,150
99.0
1.0
9,618
181
98.2
1.8
1,368,984
100.0
9,799
100.0
No ..............................
Yes ............................
971,074
397,044
71.0
29.0
6,824
2,975
69.6
30.4
1,368,118
100.0
9,799
100.0
No ..............................
Yes ............................
1,231,378
137,410
90.0
10.0
8,807
993
89.9
10.1
1,368,788
100.0
9,799
100.0
No ..............................
Yes ............................
1,358,262
10,531
99.2
0.8
9,722
77
99.2
0.8
Total ...................
I1Z (quadriplegia) ...............................................
9,766
Total ...................
I1V (hemiplegia/hemiparesis) ............................
100.0
Total ...................
I1A (diabetes mellitus) .......................................
1,385,087
Total ...................
P1AJ (tracheostomy care) .................................
36.4
25.1
10.7
10.4
17.4
0.0
Total ...................
P1AI (suctioning) ...............................................
3,556
2,448
1,046
1,019
1,696
1
Total ...................
P1AG (oxygen therapy) .....................................
43.2
23.6
9.3
8.9
14.9
0.0
Total ...................
P1AC (IV medication) ........................................
599,025
327,129
128,760
123,645
206,050
478
Total ...................
K5B (feeding tube) .............................................
Independent ..........
Supervision ............
Limited assist ........
Extens assist .........
Total depend .........
Did not occur .........
Total ...................
K5A (perenteral/IV) ............................................
100.0
Total ...................
Verbal/physical abuse ........................................
9,766
Total ...................
G1IA (toileting self-performance) .......................
100.0
Total ...................
G1HA (eating self-performance) ........................
1,385,095
1,368,793
100.0
9,799
100.0
No ..............................
1,346,209
97.2
9,419
96.4
Signif diff
(p < 0.05)
0.
1.
2.
3.
4.
8.
0.
1.
2.
3.
4.
8.
PO 00000
Frm 00027
Fmt 4701
Sfmt 4700
E:\FR\FM\11AUR2.SGM
11AUR2
Yes.
Yes.
No.
No.
Yes.
Yes.
Yes.
Yes.
Yes.
Yes.
No.
No.
Yes.
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TABLE 11—Continued
MDS national snapshot
MDS variable
STRIVE: sample weighted
Value
Freq
Pcnt
Freq
Pcnt
While several of the variables that
were analyzed showed no significant
difference, there were significant
differences between the sample and the
nation on a number of other variables.
On the ADLs, for example, there was a
consistent trend for residents in the
sample to show slightly more
dependence than residents nationally.
On each of the ADLs, the percent of
STRIVE cases in the ‘‘total dependence’’
category exceeded the national
percentage by between 1.7 and 3.4
percentage points. Conversely, the
percent of residents in the
‘‘independent’’ category was lower for
the STRIVE sample by between 0.5 and
6.8 percentage points. The picture was
mixed on the services items that
displayed significant differences.
Among these items, the STRIVE
residents were slightly more likely to
receive feeding tubes, suctioning, and
tracheostomy care, but less likely to
receive IV medications or oxygen
therapy. Slightly more STRIVE residents
had diabetes mellitus and Stage 3 or 4
pressure ulcers than was seen
nationally.
The overall picture from these
comparisons is that the STRIVE sample
has somewhat higher acuity than the
nation. This could have been due to the
last stage in the sample selection
process, where nursing units within
larger nursing homes were selected for
inclusion in the study. In selecting units
for inclusion, the protocol used by data
monitors tended to favor SNF units and
other specialty units that likely had
higher acuity. Because of a lack of data
that would have allowed for correction
of this bias, it is possible that a greater
proportion of higher-acuity residents
were included in the sample, and that
the sample weights did not correct for
this.
However, the impact of this bias
should be small. First, while those
differences displayed above were
statistically significant due to the large
sample sizes involved, they were not
substantial. Second, the RUG–III and
RUG–IV classification models are
designed specifically to classify
residents into groups with similar acuity
levels; for example, ADL scores are used
explicitly to subdivide residents falling
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38,827
2.8
348
3.6
Total ...................
mstockstill on DSKH9S0YB1PROD with RULES2
Yes ............................
1,385,036
100.0
9,767
Signif diff
(p < 0.05)
100.0
into each of the major hierarchical
groups. While the impact of this bias
might have been to place slightly more
residents into heavier care nursing
groups, this bias should have been
corrected when using national days of
service (from claims data) to standardize
the RUG–IV distribution.
We note that even if the STRIVE
sample’s RUG distribution exactly
matched the national cross-sectional
distribution, this cross-sectional
distribution must be standardized
against the national days of service
distribution, which accumulates paid
days over an entire year. To the extent
that the distribution of residents, even if
perfectly representative of the nation,
does not match the distribution of paid
days, this standardization step is
necessary. Thus, standardizing the RUG
distribution to paid days should remove
the relatively small amount of bias that
was observed above.
Data Collection Process
Comment: Some commenters noted
the process for collecting therapy data
from the participating sites resulted in
several problems, highlighting
inconsistencies in training, datacollection methods, and oversight for
the therapists submitting data that they
asserted affected the accuracy of the
study. Commenters were concerned that
the assessment instrument and
accompanying ‘‘instruction manual’’
used in STRIVE was changed during the
study. The implication was that any
changes that were made could have
weakened or invalidated the study.
Response: The STRIVE data collection
effort spanned approximately 18
months. During that period, we updated
our training materials based on feedback
from participating facility staff.
Updating and fine tuning the training
materials and project protocols is a
standard method used to ensure the
collection of the most accurate data
possible. We do not believe these
changes weakened the effectiveness of
the study. In fact, we would be more
concerned about the reliability of any
study where the project staff made no
effort to enhance their training efforts
over such a long collection period.
PO 00000
Frm 00028
Fmt 4701
Sfmt 4700
As stated in our discussion of the
collection and adjustment of therapy
minutes, our analysis indicated that
therapy minutes were underreported.
When the therapists reported staff time
data, we found it to be reasonably
accurate. The problem was that
therapists did not consistently report
the services that they provided to
patients. The omissions in the data
collection process do not appear to be
related to changes in the training
process. We provided training and
technical assistance to all therapists
who participated in the study. STRIVE
staff were available either onsite or by
phone during the entire study, and the
facility staff received copies of the
training materials. While direct
oversight of therapists’ data collection
for the entire 7-day time study period
was not feasible, ample training and
resource materials were available to
guide them. However, some therapists
simply did not submit data for the entire
7-day time study period. Again, we do
not believe the underreporting can be
associated with changes in the training
manuals or in the data collection
procedures.
Comment: One commenter noticed
that the proposed rule does not list
physical therapist assistants as a SNF
staff participant in the STRIVE project.
The commenter asked us for
clarification in the final rule confirming
the inclusion of physical therapist
assistants in the STRIVE project.
Response: In the proposed rule, we
inadvertently neglected to list physical
therapy assistants and occupational
therapy assistants as participating in the
STRIVE study. We noted this error on
our Web site at https://www.cms.hhs.gov/
SNFPPS/02_Spotlight.asp. Physical
therapy assistants and occupational
therapy assistants did, in fact,
participate in the STRIVE study, which
included their resource times.
MDS 3.0 Data
Comment: A few commenters
questioned our ability to assess the
impact of the proposed RUG–IV model,
as national claims data are not available
for either the RUG–IV grouper or the
MDS 3.0. Similarly, they were
concerned that stakeholders could not
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fully assess the impact of the proposed
changes. These commenters
recommended delaying the
implementation of RUG–IV for 2 years,
allowing for the collection of actual
MDS 3.0 data to undertake a detailed
impact analysis, and appropriately
adjust the SNF PPS so that the transition
from RUG–III to RUG–IV is budget
neutral.
Response: We recognize the difficulty
of precisely calibrating a new case-mix
model using estimated data. However,
by waiting for actual data to become
available, we risk perpetuating systems
that become progressively less able to
target payments accurately to acuity
levels.
In this instance, we worked closely
with our MDS development team to
integrate payment needs into the
structure of the MDS 3.0 assessment. We
also made available a RUG–IV grouper
and our estimates on the distribution of
patient days to allow stakeholders to
assess the impact of the new case-mix
model.
Finally, we have made provision for
correcting discrepancies in the estimates
used to introduce the RUG–IV model. In
this final rule, we have committed to
monitoring the accuracy of our
projections and, when actual data
becomes available, to recalibrate the
system to ensure that the conversion to
RUG–IV was budget neutral. This
recalibration would be data driven, and
could result in either payment increases
or decreases. Therefore, we do not agree
that the introduction of the RUG–IV
case-mix system should be delayed
beyond October 1, 2010.
mstockstill on DSKH9S0YB1PROD with RULES2
b. Developing the Analytical Database
In the FY 2010 proposed rule (74 FR
22208, 22221, May 12, 2009), we noted
that information acquired through the
STRIVE research pointed to the need for
modifications to the RUG–IV model in
a number of specific areas, which we
discuss in the following sections.
i. Concurrent Therapy
Concurrent therapy is the practice of
one professional therapist treating
multiple patients at the same time while
the patients are performing different
activities. In the SNF Part A setting,
concurrent therapy is distinct from
group therapy, where one therapist
provides the same services to everyone
in the group. In a concurrent model, the
therapist works with multiple patients
at the same time, each of whom can be
receiving different therapy treatments.
For concurrent therapy, there are
currently no MDS coding restrictions
regarding either the number of patients
that may be treated concurrently, or the
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amount or percentage of concurrent
therapy time that can be included on the
MDS, whereas with group therapy there
are limitations, as discussed in the July
30, 1999 SNF PPS final rule (64 FR
41662).
In the FY 2010 proposed rule (74 FR
22208, 22222, May 12, 2009), we noted
a significant shift in the provision of
therapy from individual one-on-one
treatment to a concurrent basis. We
stated that given that Medicare and
Medicaid patients are among the frailest
and most vulnerable populations in
nursing homes, we believed that the
most appropriate mode of providing
therapy would usually be individual,
and not concurrent therapy. We
indicated that concurrent therapy
should never be the sole mode of
delivering therapy to a SNF patient;
rather, it should be used as an adjunct
to individual therapy when clinically
appropriate. Further, we expressed
concern that the current method for
reporting concurrent therapy on the
MDS creates an inappropriate payment
incentive to perform concurrent therapy
in place of individual therapy, because
the current method permits concurrent
therapy time provided to a patient to be
counted in the same manner as
individual therapy time. Accordingly,
we proposed that, effective with the
introduction of RUG–IV, concurrent
therapy time provided in a Part A SNF
setting would no longer be counted as
individual therapy time for each of the
patients involved; rather, for each
discipline, we would require allocating
concurrent therapy minutes among the
individual patients receiving it before
reporting total therapy minutes on the
MDS 3.0. The comments that we
received on this issue, and our
responses, appear below.
Comment: Several commenters stated
that the data reported in the proposed
rule showing concurrent therapy as
representing a majority of the delivery
of all therapy services are inconsistent
with industry data. Some stated they
were not able to replicate the STRIVE
findings that two-thirds of therapy
provided is concurrent. A few reported
that when they ‘‘polled’’ their
rehabilitation staff, the estimates they
received were that approximately 33
percent of therapy is delivered
concurrently.
Response: In order to determine
whether the STRIVE results may have
overstated the amount of concurrent
therapy, we re-examined the raw data
and methodology we used to distinguish
between individual and concurrent
therapy. We determined that the amount
of concurrent therapy that we reported
in the March 2009 TEP and later cited
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Sfmt 4700
40315
in the proposed rule was overstated, and
that the amount of concurrent therapy
based on the ‘‘time-slice’’ method
discussed later in this section of the
final rule is actually 28.26 percent.
Nevertheless, we continue to believe
that concurrent therapy should be
allocated when assigning a RUG–IV
classification. The SNF PPS is based on
resource utilization and costs. When a
therapist treats two patients
concurrently for an hour, it does not
cost the SNF twice the amount (or 2
hours of the therapist’s salary) to
provide those services. The therapist
would appropriately receive one hour’s
salary for the hour of therapy provided,
regardless of whether the therapist
treated one patient individually or two
patients concurrently for that hour.
Therefore, as proposed, we will utilize
allocated concurrent therapy minutes to
establish the RUG–IV group to which
patients are assigned. In addition, we
will require the therapist to track and
report the three different delivery modes
of therapy (individual, concurrent, and
group) on the MDS 3.0, as explained
later in this section.
Comment: Most commenters agreed
with CMS that concurrent therapy is a
legitimate mode of delivering therapy
services, based on individual care needs
as determined by the therapist’s
professional judgment. Many
commenters stated that when used
appropriately, concurrent therapy
produces positive patient outcomes and
does not result in poor quality of care,
while others reported there are no
studies to support that concurrent
therapy is inferior to individual. Several
commenters stated that the patients are
fully engaged throughout the entire
concurrent therapy session with the
therapist directly supervising both
patients, and some reported that rest
periods are a necessary part of treatment
and concurrent therapy allows the
therapist to be more efficient. However,
there were others who reported that the
therapist is not always directly
supervising with the patient in line-ofsight, and in fact, some commenters
reported that therapists would leave the
treatment area to conduct other tasks or
treatments and that patients are not
always engaged.
Response: We did not propose to
eliminate concurrent therapy. We agree
that the there are times when patients
may interact with one another during a
concurrent session, and that these
interactions may be beneficial.
However, as noted by some
commenters, this may not always be the
case. We are concerned that some
commenters reported that therapists do
not always have the patient in line-of-
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Federal Register / Vol. 74, No. 153 / Tuesday, August 11, 2009 / Rules and Regulations
sight (and may actually leave the
treatment area). In fact, some
commenters reported that the patient is
not always engaged during the entire
concurrent time, and that there are
potentially instances when treatment
decisions are influenced by facility or
provider productivity requirements. We
agree that the delivery of therapy
services should be based on the
therapist’s professional and clinical
judgment solely according to the
individual needs of each patient.
Considering the potential for
inappropriate care, and that in some
cases, patients may not be fully
interacting with each other or the
therapist throughout the concurrent
therapy session, we believe that
allocating concurrent therapy minutes is
appropriate.
Comment: Several commenters stated
that CMS does not have the authority to
dictate the practice of therapy and,
therefore, cannot instruct therapists to
allocate concurrent therapy.
Response: We agree that CMS does
not have the authority to dictate clinical
practice. However, we do have the
authority and the responsibility to
determine coverage and payment policy,
that is, the scope of services that will be
paid for by the Medicare program under
the SNF PPS and the manner in which
those services will be reported and paid.
We again acknowledge that concurrent
therapy may be an appropriate mode to
provide therapy services under certain
circumstances, but we also note that the
SNF PPS is based on resource
utilization and costs. When a therapist
treats two patients concurrently for an
hour, it does not cost the SNF twice the
amount (or 2 hours of the therapist’s
salary) to provide those services. The
therapist would appropriately receive
one hour’s salary for the hour of therapy
provided, regardless of whether the
therapist treated one patient
individually or two patients
concurrently for that hour. Therefore, as
proposed, we will use allocated
concurrent therapy minutes to establish
the RUG–IV group to which the patient
is assigned. In addition, we will require
the therapist to report concurrent
therapy minutes on the MDS 3.0, as
discussed later in this section.
Comment: We received a large
number of comments on the potential
effects of the proposed allocation of
concurrent therapy. Many of the
commenters agreed that therapy time
should be allocated, and offered a
variety of justifications, such as: Abuse
of therapy being reported; therapists
being coerced to maximize minutes
(and, therefore, reimbursement); lack of
existing research to support the efficacy
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of concurrent therapy; and, the need to
use Medicare funds appropriately and
as intended. In fact, one commenter
requested that allocation of concurrent
therapy begin in FY 2010, prior to
implementation of RUG–IV. Another
commenter believed that an increased
use of individual therapy would have a
positive impact on their SNFs by raising
the SNF case mix and, therefore,
attracting patients with more advanced
therapy needs to their facilities. Many
commenters believed that concurrent
therapy, when provided appropriately,
is a valid method for providing therapy
that has many benefits (for example,
psychosocial and educational), and that
patients motivate and learn from each
other. Additionally, many commenters
agreed that concurrent therapy should
be an adjunct to individual therapy.
Many other commenters opposed any
allocation whatsoever for concurrent
therapy. Some of those commenters
argued that allocation would, in effect,
reduce the therapy provided to patients.
Others expressed concern that some
patients would not receive therapy at all
in parts of the country (particularly
rural areas) where therapists are scarce.
Some believed that by allocating
therapy, CMS would actually incur a
greater cost to the Medicare program, as
there would be a greater rate of rehospitalizations. Others stated that
allocating concurrent therapy would
increase labor costs to SNFs and, thus,
would ‘‘force’’ contract therapy
providers to increase their charges to
SNFs.
Response: As stated in the proposed
rule, we believe that concurrent therapy
can represent a legitimate mode of
delivering therapy services when used
properly based on individual care needs
as determined by the therapist’s
professional judgment; should be an
adjunct to individual therapy, not the
primary mode of delivering care; and
should represent an exception rather
than the standard of care. As noted
previously, we did not propose to
eliminate concurrent therapy altogether.
Rather, we proposed to allocate the
minutes of the therapist’s time when
providing concurrent therapy among the
patients to accurately reflect the
therapist’s time treating patients.
We do not agree that allocating
concurrent therapy minutes means that
patients will not receive needed
therapy. Assuming that concurrent
therapy is being used appropriately, the
allocation requirements do not change
the actual provision of services. The
only change is in the way the therapist
records the time he or she spends with
each patient. In fact, we believe
therapists will continue to provide
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therapy services in a combination of
individual, concurrent, and group as
appropriate based on the therapist’s
professional judgment of the
individual’s needs and in accordance
with Medicare coverage requirements.
Similarly, the requirement to track
concurrent therapy does not, in and of
itself, increase labor costs to SNFs. We
are aware, however, that by allocating
concurrent therapy minutes to assign
the RUG–IV category, the total number
of therapist staff minutes may not be
sufficient to keep a patient in the same
therapy group for payment purposes.
For example, under RUG–III, a patient
receiving a combination of 325
individual and (unallocated) concurrent
therapy minutes would be assigned to a
RUG–III High Rehabilitation group.
Under RUG–IV, the patient might be
classified into a lower-paying therapy
group if the adjusted therapist time falls
below the 325-minute threshold needed
to qualify for High Rehabilitation. We
regard it as likely that providers will ask
therapists to modify their treatment
plans to make sure that patients qualify
for the higher therapy groups. However,
this type of behavioral adjustment, even
if it increases labor cost, may not be
reflective of actual patient need. We also
see no imperative in this reporting
change that would ‘‘force’’ contract
therapy providers to increase their
charges to SNFs. However, the specific
details of contractual arrangements
between SNFs and therapy contractors
are essentially private business
arrangements that are outside the scope
of this rule. Finally, we are extremely
concerned that some commenters
believe that allocating therapy minutes
will result in poor patient outcomes,
such as underutilization and
rehospitalizations. While we believe
these negative outcomes are unlikely,
we intend to alert our Survey and
Quality Monitoring staff to the
possibility so that we can monitor
facility practices to ensure quality care
for all SNF residents.
Comment: A few commenters
requested CMS to provide specific
guidelines on when concurrent therapy
may occur, such as limiting the number
of patients that can be seen
concurrently. Of those commenters that
favored setting a numerical limit, a
majority recommended allowing the
therapist to treat no more than two
patients concurrently. A few suggested
a maximum of three or four patients for
concurrent therapy, while others stated
that treating three or four patients at the
same time should instead constitute
group therapy. Some suggested that we
apply a cap similar to the one that
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already exists for group therapy (in
which we limit the number of
individuals and the amount to be coded
on the MDS). One commenter stated
that if the requirements set forth in the
Medicare Benefit Policy Manual (Pub. L.
100–2), chapter 8, section 30.4.1.1 are
met, then the therapy services are
skilled and the mode of therapy
delivered does not matter (individual,
concurrent, or group). On the other
hand, some requested that CMS work
with the professional and industry
associations and stakeholders to
develop criteria and guidelines. One
commenter stated that concurrent
therapy is neither individual nor group
therapy and, therefore, should not be
allowed.
Response: As we explained in the
proposed rule (74 FR 22222), concurrent
therapy can represent a legitimate mode
of delivering therapy services when
used properly based on individual care
needs as determined by the therapist’s
professional judgment; should be an
adjunct to individual therapy, not the
primary mode of delivering care; and
should represent an exception rather
than the standard of care.
We agreed with those commenters
who supported placing some limits on
concurrent therapy. Commenters who
supported concurrent therapy almost
unanimously stated that when
concurrent therapy is properly
delivered, patients are fully engaged
during the entire treatment time and
that the therapist is able to direct the
entire treatment session for each
participant. We believe that in order for
the therapist to be able to direct the
entire treatment session and ensure that
the patients are fully engaged, the
number of participants should be
limited to two. We agree with the
commenters who pointed out that, once
a clinician has to divide his/her time
between three or more patients, the
therapist’s ability to direct the entire
treatment session for each individual
and ensure that the patients are fully
engaged can become problematic. In
addition, in order for a therapist to
direct the entire treatment session of
both participants and ensure that they
are fully engaged, the therapist must
have line-of-sight of both patients. Both
the American Physical Therapy
Association (APTA) and the American
Occupational Therapy Association
(AOTA) recommended limiting
concurrent therapy to two patients. In
fact, the AOTA reports in their comment
on the FY 2010 SNF PPS proposed rule,
and on their Web site at https://
www.aota.org/Practitioners/Reimb/Pay/
Medicare/FactSheets/37784.aspx, that
they have been advising their members
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to limit the provision of concurrent
therapy in this manner for some time:
‘‘For a number of years, AOTA has been
informally advising members that the
number of patients should be limited to
2 as a best practice standard.’’ We
believe the clinical knowledge and
expertise of the therapy associations is
a proper benchmark for determining the
allowable number of patients during a
concurrent session, and we agree that a
therapist (or assistant) should treat no
more than two patients concurrently. At
this time, we do not agree that CMS
should impose a specific cap, similar to
the one for group therapy, on the
amount of concurrent therapy to be
coded on the MDS. However, we are
revising the MDS, as noted later in this
section, to capture therapy data by mode
of therapy. We will then be able to
analyze the data on therapy, including
the delivery mode, and will be able to
better understand the rates of provision
and develop other requirements as
deemed appropriate, including but not
limited to a cap on concurrent therapy.
Therefore, under RUG–IV, in order to
code minutes on the MDS, the following
criteria must be met:
• Individual therapy; or
• Concurrent therapy consisting of no
more than 2 patients (regardless of payer
source), both of whom must be in lineof-sight of the treating therapist (or
assistant); or
• Group therapy consisting of 2 to 4
patients (regardless of payer source),
who are performing similar activities,
and are supervised by a therapist (or
assistant) who is not supervising any
other individuals.
In instances that involve a therapist
treating 3 or more patients that do not
meet the definition of group therapy,
that is, similar activities are not being
performed by the participants, then for
purposes of MDS reporting, the
definition of concurrent therapy is not
met and, thus, those therapy minutes
may not be coded.
We agree that requirements set forth
in the Medicare Benefit Policy Manual
(Pub. L. 100–2), chapter 8, section
30.4.1.1 should be met for medical
review purposes. However, as stated
previously, from a payment perspective,
the SNF PPS is based on resource
utilization and costs. When a therapist
treats two patients concurrently for an
hour, it does not cost the SNF twice the
amount (or 2 hours of the therapist’s
salary) to provide those services. The
therapist would appropriately receive
one hour’s salary for the hour of therapy
provided, regardless of whether the
therapist treated one patient
individually or two patients
concurrently for that hour. Therefore,
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40317
Medicare should pay for the one hour of
the therapist’s time.
Furthermore, the criteria set forth in
section 30 for skilled nursing facility
level of care must be met in order for a
beneficiary to meet the requirements for
a SNF Part A stay. These requirements
are:
• The patient requires skilled nursing
services or skilled rehabilitation
services, that is, services that must be
performed by or under the supervision
of professional or technical personnel
(see §§ 30.2–30.4); are ordered by a
physician and the services are rendered
for a condition for which the patient
received inpatient hospital services or
for a condition that arose while
receiving care in a SNF for a condition
for which he received inpatient hospital
services;
• The patient requires these skilled
services on a daily basis (see § 30.6);
• As a practical matter, considering
economy and efficiency, the daily
skilled services can be provided only on
an inpatient basis in a SNF (see § 30.7.);
and
• The services must be reasonable
and necessary for the treatment of a
patient’s illness or injury, that is, be
consistent with the nature and severity
of the individual’s illness or injury, the
individual’s particular medical needs,
and accepted standards of medical
practice. The services must also be
reasonable in terms of duration and
quantity.
We also believe that, when
appropriate, therapy services should be
treated uniformly across the PAC
settings and under Parts A and B. We
intend to work with the professional
organizations and within the various
CMS components to analyze and
explore the various issues that affect
therapy services in the various provider
types and payment systems.
We realize that establishing
guidelines, requirements, and criteria
for therapy services is a complex matter
regardless of setting. For instance, we
must be cognizant of multiple issues
that may affect the delivery of therapy
services to patients, such as:
• Patient rights (patient preference for
a particular treatment method (for
example, individually and not with
others, either concurrently or in a group
setting), and whether this preference is
honored);
• Infection precautions (whether
therapists follow standard infection
control practices when treating more
than one patient at time);
• Facility layout (logistical feasibility
of treating multiple patients and
maintaining proper and adequate
supervision).
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Comment: A few commenters stated
that when the RUG–III model was
developed, all modes of therapy were
being provided, and the minutes and
staff time were weighted to reflect
concurrent therapy. Some commenters
reported that concurrent therapy
became the norm after the inception of
the SNF PPS, and that individual
therapy was previously the primary
mode of therapy being delivered.
Response: We do not disagree that the
different modes of therapy were being
provided prior to SNF PPS. For the
purpose of this final rule, we are
considering how the current
distribution of therapy time affects the
accuracy of the payments that will be
made under the RUG–IV model. For
RUG–IV, we are using the therapist’s
time (individual minutes, concurrent
therapy minutes allocated, and the
group therapy minutes unallocated with
25 percent cap) to establish the
minimum therapy minutes for each of
the rehabilitation categories. We do not
believe that Medicare payments should
exceed the cost of the services rendered.
As stated previously, when a therapist
provides concurrent therapy services for
an hour, no matter how many patients
he or she treats, the therapist is only
providing and being paid for an hour of
time. Payments made to the SNF under
the SNF PPS should reflect that same
principle. As we did not propose to
change the method in which group
therapy minutes are used in RUG–IV
classification and the amount of group
therapy being provided is low,
therapists will still be allowed to count
the entire group session for each patient
(as long as they maintain the patient
limitation and supervision
requirements) in accordance with the 25
percent cap. However, we will monitor
therapy provided in the group setting,
analyze data associated with group
therapy, and, if needed, address any
issues at a later time.
Comment: Some commenters
suggested updating the MDS 3.0 in
order to record the three modes of
therapy: individual, concurrent, and
group. Some believed that this would
allow a method to track and analyze the
amount of concurrent therapy being
provided. One commenter suggested
developing a ‘‘take back’’ if concurrent
therapy exceeded 50 percent of the
therapy time. One commenter urged
CMS to consider a documentation
method that would not be burdensome.
Another commenter stated that tracking
concurrent therapy would be tedious.
Another commenter stated that
providers would be vulnerable to postpayment audits and denials if CMS did
not develop documentation
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instructions. Lastly, one commenter
stated that reporting the therapist time
and not the resident time would alter
the ‘‘patient-centric’’ intent of the MDS.
Response: Under Medicare Part B
therapy services, CMS has issued
documentation requirements. When
these requirements were developed,
CMS worked closely with the Medicare
contractors, professional therapy
associations, and multiple components
within CMS. We intend to address
therapy documentation issues for SNF
PPS in a similar fashion to determine
the most appropriate documentation
requirements. We will update the MDS
3.0 so that the assessor codes the actual
total patient minutes associated with the
three modes of delivering therapy
services (individual, concurrent, and
group) and, thereby, reports them
separately (thus keeping the MDS
patient-centric). We believe that
requiring providers to report total
therapy time by mode of therapy on the
MDS 3.0 will not pose a significant
burden for providers, as providers will
not be required to allocate concurrent
therapy minutes before recording them
on the MDS, but instead will only be
required to identify those minutes as
concurrent. This method of reporting
will allow us to track and analyze the
amount of each type of therapy being
provided and determine appropriate
reimbursement. Under RUG–IV, the
recording of therapy minutes on the
MDS will be as follows:
• Individual—Report entire amount
of individual therapy.
• Concurrent—Report the entire
unallocated minutes of concurrent
therapy.
• Group—Report the entire
unallocated minutes of group therapy
(as long as the patient limitation is not
exceeded and the supervision
requirement is maintained).
This method for recording therapy
minutes will reflect the resident’s entire
time receiving therapy. However, as
stated earlier, we will assign the RUG–
IV category based on allocated
concurrent therapy minutes and
maintain the 25 percent cap on group
therapy. The RUG–IV data
specifications will account for these
requirements.
We do not agree with the suggestion
to implement a ‘‘take back’’ policy at
this time. However, as the MDS 3.0 will
require the therapist to code the minutes
for each mode of therapy being
delivered, we will be able to analyze the
data and, if need be, address any issues
in the future. Thus, we will update our
policy based on data, not on a predefined limit. In addition, we will need
to conduct further analysis to determine
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an appropriate amount of allowed
concurrent therapy, as well as the
appropriate fiscal penalty if we were to
implement a ‘‘take back’’ policy.
Comment: Several commenters argued
that allocating concurrent minutes to
the RUG–IV model and then also
applying CMIs represents a ‘‘double
hit.’’ Others characterized concurrent
therapy allocation as a method of cost
control.
Response: As stated in the proposed
rule (74 FR 22222–23), and as discussed
above, allocating concurrent therapy
time reflects resource use more
accurately for this type of therapy.
Patients are classified into RUGs based
on average resource use, and allocating
therapy minutes allows for better
measurement of resource use, more
accurate RUG classification, and
application of more appropriate CMIs.
For example, when a therapist treats 2
patients concurrently for an hour, a full
hour of therapy time is counted for each
of the 2 patients under existing
procedures. However, the therapist is
not actually providing 2 hours of his/her
time to treat the patients; rather, the
therapist is providing a total 1 hour of
therapy time. Thus, rather than
representing a ‘‘double hit’’ or a method
of cost control, allocating concurrent
therapy minutes to the RUG–IV model
results in more accurate payment under
the SNF PPS, and allows for a more
appropriate reflection of resources used.
Further, as stated in the proposed rule,
we maintained budget neutrality with
the implementation of RUG–IV, which
also serves to refute the characterization
of allocating concurrent therapy as a
cost control method.
Comment: One commenter agreed that
the role of therapy aides is to provide
support services to the therapists and,
thus, disagreed with our concern that
placing limits on concurrent therapy
could result in an inappropriate
substitution of therapy aides for
therapists and assistants and that the
RAI manual should be updated. In
addition, a commenter requested that
we maintain the policy that therapy
provided by therapy students should
continue to be counted on the MDS.
Response: We would also like to
reiterate that therapy aides are expected
to provide support services to the
therapists and cannot be used to provide
skilled therapy services. As we stated in
the proposed rule, based on the STRIVE
data, it appears therapy aides are being
used appropriately. However, as we
stated, we intend to monitor the use of
therapy aides, and if necessary, propose
changes to MDS reporting requirements
in the future. Further, we agree that, as
set forth previously in the correction
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notice for the FY 2000 SNF PPS final
rule (64 FR 60122, November 4, 1999),
providers should record minutes of
skilled therapy provided by a therapy
student on the MDS when the student
is in the therapist’s line-of-sight.
Therefore, as we proposed in the FY
2010 proposed rule, effective with
RUG–IV, we will use allocated
concurrent therapy minutes to establish
the RUG–IV group to which the patient
is assigned. In addition, as discussed
above, a therapist (or assistant) will be
permitted to treat no more than two
patients concurrently. In addition, we
will require the therapist to report the
three different delivery modes of
therapy (individual, concurrent, and
group) on the MDS 3.0 in the manner
discussed above.
mstockstill on DSKH9S0YB1PROD with RULES2
ii. Adjustments to STRIVE Therapy
Minutes
Under the SNF PPS, while nursing
services are fully reimbursed using a
prospective case-mix adjusted
algorithm, payment for therapy services
is more closely linked to the amount of
therapy actually received at a particular
time. In the FY 2010 proposed rule (74
FR 22208, 22223, May 12, 2009), we
noted that the STRIVE analysis included
an examination of therapy services
reimbursed under RUG–III, and we
included a detailed explanation of the
STRIVE therapy data collection
methodology. The comments that we
received on this subject, and our
responses, appear below.
Comment: Several commenters
questioned the collection and the
analysis of therapy time, including the
utilization of the unsupervised
recording of therapy times during the
collection of data on weekends.
Response: During the STRIVE study,
we made every effort to train staff and
provide data monitors to assist staff
when questions or problems arose.
However, very few onsite facility
studies, including STRIVE, can provide
monitoring on a 24-hour, 7-days-a-week
basis. In general, the staff at the
participating facilities worked hard to
collect the staff time accurately,
especially for the days where data were
collected on an automated basis. It is
apparent from our analysis that the
therapy data were partially
compromised by incomplete recording
of therapy times during the days where
the data were collected manually on
paper forms. We believe we have
provided sufficient information in both
the proposed rule (74 FR 22223–25) and
the TEP slides (available online at
https://www.cms.hhs.gov/SNFPPS/10_
TimeStudy.asp), and especially at the
TEP meeting on March 11, 2009, on how
we have identified this potential
problem, and have adjusted the therapy
time used in our analysis to address it.
Information provided at the TEP
meeting demonstrated that these
adjustments had little impact on the
RUG–IV case-mix indexes, and
corresponded with the results in
STRIVE facilities that had more
complete therapy data collection. At the
same time, the adjustments appeared to
adjust therapy time successfully in more
problematic facilities (where therapy
time was much lower and appeared to
be incomplete on days where staff used
the paper tool versus days using PDAs),
so that residents were distributed among
therapy groups more consistently with
the national pattern from Medicare
claims than they would have been if
unadjusted data were used.
We do recognize from the comments
that one of the statistics provided in the
proposed rule and in Slide #33 of the
March 11 TEP presentation was
incorrect: the percentage of all time
collected that was concurrent therapy.
Our contractor located a mistake made
in the computation for this statistic
alone that substantially inflated this
percentage. As noted previously, the
correct percentage of concurrent time is
28.26 percent. This error only affected
the calculations performed to produce
this one slide; the numbers used in all
other analyses, the allocation of
concurrent time, the derivation of RUG–
IV, and the released public database
were correct.
After this error was found, all
calculations concerning concurrent
therapy were reviewed. Our initial
method of allocating concurrent time
was to combine all resident time records
for a staff member where there was any
continuous overlap among the residents.
These records were then used to
calculate the time in therapy for each
resident involved and the unduplicated
staff time involved. The staff time was
40319
then allocated to each resident in
proportion to resident time in therapy,
yielding the allocated concurrent time
for each resident. This method led to
minor inaccuracies when a resident left
an ongoing concurrent therapy group or
a new resident entered an ongoing
concurrent therapy group.
Based on the comments that we
received, we reviewed our allocation
method described above, and developed
a more sensitive method based on a
‘‘time slice’’ approach. A staff member’s
time was divided into 1-minute ‘‘time
slices.’’ When there was only one
resident in a 1-minute time slice, the
entire minute was assigned to that
resident as individual therapy time. If
there were multiple residents, the
minute was divided equally among the
residents as concurrent therapy time.
All current time for a specific resident
under the treatment of a specific staff
member was then accumulated,
separately as individual and concurrent
time. This more accurate allocation
caused only minor changes for
individual residents, and had very little
impact on aggregate results. The results
referenced in this final rule incorporate
these changes.
The two methods are contrasted in the
following example. Assume that the
therapist has a session of 30 minutes
involving three residents. The first
resident (‘‘A’’) arrives at the beginning
of the session and stays for the entire 30
minutes. The second resident (‘‘B’’)
arrives 10 minutes after the session
begins and stays until the end (that is,
20 minutes). The third resident (‘‘C’’)
arrives 20 minutes after the session
begins and also stays until the session’s
end (that is, 10 minutes). The original
research used a proportional method, in
which each resident’s time was
considered as a percentage of the total
person-minutes. This can be seen in
Table 12. ‘‘Resident A’’ received 30
minutes of therapy, Resident B 20
minutes, and Resident C 10 minutes, for
a total of 60 person-minutes. The
proportional method would thus
compute Resident A as having 30/60
(that is, 50 percent) of the 30-minute
session time, or 15 minutes. The other
two residents’ times would be
calculated similarly.
TABLE 12
Proportional method
Resident
Resident time
in therapy
A ...................................
B ...................................
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20
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Proportion of
resident time
Time slice method
Allocated time
50.00%
33.33
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10.00
0.00
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3.33
3.33
Total
18.33
8.33
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TABLE 12—Continued
Proportional method
Resident
Resident time
in therapy
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C ...................................
Total .............................
Session length .............
10
60
30
Proportion of
resident time
Allocated time
Slice 1
Slice 2
Slice 3
Total
16.67
100.00
........................
5.00
30.00
........................
0.00
........................
10.00
0.00
........................
10.00
3.33
........................
10.00
3.33
30.00
........................
We now determined that a more
accurate approach would be to divide
the session into ‘‘slices,’’ beginning
when a resident joins or leaves the
session. The minutes in each time slice
are divided equally among all the
residents receiving therapy during that
time slice. In the example above, the
first slice would consist of the first 10
minutes of the session, the second slice
is minutes 11–20 of the session, and the
third slice is minutes 21 to 30. As only
one person is receiving therapy in the
first slice, Resident A is credited with
all 10 minutes of that slice (which is
now reported as ‘‘individual’’ therapy
time). In the second slice, there are two
residents, so both Resident A and B
each receive half of the 10 minutes in
that slice, or 5 minutes each. Finally, in
the third slice, there are three residents
receiving therapy, so each receives a
third of 10 minutes, or 3.33 minutes
each. Summing across all three slices,
Resident A is credited with 10 + 5 +
3.33 minutes, or 18.33 minutes of time.
This example demonstrates that the
improved methodology does make
minor differences in time allocation,
although the total allocated therapy time
is not affected. Moreover, the two
methods will provide identical results
when all individuals receive therapy for
the full session. Thus, the
recomputation of therapy sessions using
the time slice methodology, while more
accurate, made only minor changes for
individual residents.
Comment: Several commenters
questioned the adjustment performed on
therapy minutes, raising two issues: The
first relates to ‘‘forcing the data to
approximate existing distributions of
therapy times across RUG–53
categories,’’ by which nothing new is
learned. The second regards the paper
survey data as part of the calculation of
therapy weights and the commenters’
opinion that it should be considered
invalid and should not be used. While
acknowledging the need to adjust the
therapy minutes data, the commenter
added that the proposed retroactive
therapy data adjustments bring into
question the accuracy and usefulness of
the STRIVE data, especially in light of
the small sample size. The commenter
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Time slice method
believed that these issues also affect the
reorganization of residents within the
RUG hierarchy, and invalidate the
therapy and nursing weights and the
subsequent budget neutrality
adjustment. In addition, the commenter
observed that retroactively adjusting the
therapy minutes collected directly from
therapists treating SNF patients appears
contrary to the purpose and design of
the time study, which was real-time,
bedside measurement of the resources
provided to SNF patients.
Response: While we are confident that
the analyses conducted during the study
are sufficient to adjust the therapy data
for use in the RUG–IV model, we
understand the commenters’ concerns.
As we have described in detail, the
process used to adjust the therapy
minutes (imputation of data elements
that are missing or incorrect) is a
standard statistical practice, with many
methods available; thus, we do not
believe it is contrary to the purpose and
design of the time study. In STRIVE,
changes in therapy minutes had little
effect on the therapy CMIs of therapy
groups as, once in a group, any
statistical average will be relatively
stable. However, revising the therapy
times did have a substantial effect on
the classification of individual
residents. This was significant, as only
those not meeting the RUG–IV therapy
criteria would be eligible for the nontherapy categories from Extensive
Services down through Reduced
Physical Function, and the research to
determine which characteristics
differentiated the nursing time of these
individuals would be properly focused.
Alternately stated, while adjusting the
therapy time did not substantially affect
the CMI of the rehabilitation groups, it
did change the classification of
individual residents and was critical to
proper analysis. Contrary to the
assertions of these commenters, we
believe that failure to adjust the therapy
minutes would have had a negative
impact on the classification of residents
requiring complex medical care.
Without the adjustment, we believe the
therapy minutes would have been
underreported, resulting in inaccurate
classification of residents, with some
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residents inappropriately classified in
lower-level RUGs. Thus, we are
confident that our efforts to adjust for
underreporting of therapy minutes
actually increased the accuracy of the
RUG–IV case-mix classification model.
Our approach to adjusting therapy
addressed our concern that, in some
facilities, therapists under-reported
resident therapy time on weekends and
other ‘‘non-PDA’’ days, including days
where there was no supervision, either
by STRIVE data monitors or by staff at
the participating facility, of the data
collection. However, at least a quarter of
the facilities did report patterns of
therapy time that appeared reasonable.
We took care to include these times,
even if paper based, when they seemed
appropriate.
We found that the data obtained from
facilities where the data collection had
been most complete, closely matched
the therapy time extrapolated to the
entire week from the 3-day period
where data had been collected
electronically. A final comparison was
made to verify the therapy minutes
reported on the MDS that was
completed during the time study. Again,
the reported minutes were consistent
with the extrapolation procedure we
used. In addition, the RUG distribution,
after the adjustment of therapy time,
more closely matches the expected
therapy RUG national distribution. This
comparison was aimed solely at
validating the accuracy of our
adjustment procedures by comparing
our study’s RUG–III distribution with
the known national distribution. It did
not constrain in any way our ability to
test alternative approaches to RUG
classification. Thus, we are confident
that the procedures we used to adjust
for data collection were appropriate,
and that the therapy analyses conducted
during STRIVE accurately reflect
therapy utilization overall. Accordingly,
we do not believe that it is necessary to
discard the paper surveys as the
commenter suggested. However, we are
also cognizant of the importance of
therapy services in the RUG model, and
plan to continue our analyses as part of
our implementation and post-utilization
monitoring of the RUG–IV system.
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Comment: One commenter observed
that no adjustments were made for
variation in State practice laws with
respect to supervision of physical
therapy assistants, occupational therapy
assistants and aides, and that due to an
acute shortage of therapists in many
rural communities, there is a tendency
to use more therapy assistants under
therapist supervision to the extent that
State law allows such practices.
Response: While the commenter is
correct that we did not examine State
practice acts, we did collect data on the
use of therapy assistants in nursing
homes. To the best of our knowledge, all
States recognize and license or certify
therapy assistants. We found that the
use of therapy assistants has increased
significantly since the 1995/1997 time
studies. We consider the use of therapy
assistants to be appropriate to deliver
therapy services when under the
supervision of a therapist and within
the scope of practice allowed by State
law. We presume that the increasing use
of therapy assistants is partially related
to a current labor shortage for therapists,
and partially related to payment
incentives rewarding efficient delivery
of care. The applicable State regulations
governing aides are more heterogeneous.
However, in the STRIVE study, we
found that aides are being appropriately
utilized to furnish support services to
the licensed/certified therapists, a role
that would be allowed in most if not all
States.
Comment: One commenter expressed
concern about extrapolating 3 days of
therapy to 7. The commenter stated that
it is inappropriate because weekend
days and weekdays are not similar, and
that Mondays and Fridays differ from
mid-week (Tuesdays through
Thursdays) due to admissions and
meetings.
Response: We agree that it would
have been inappropriate to directly
extrapolate 3 days of therapy to 7,
because 2 of those days (Saturday and
Sunday) generally have very low
amounts of therapy. However, we did
not take the approach described by the
commenter. Our adjustment procedure
made use only of those weekend days
that were actually reported; we never
imputed a weekend therapy session.
The only adjustment that we made to
weekend sessions was to assume that
the duration of those sessions matched
the average duration of weekday
sessions reported for the resident.
Generally, most participating SNFs
provide therapy 5 days a week, and only
a small subset provide therapy on
weekends. Therefore, we agree with the
commenter that weekend days and
weekdays differ in the amount of
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therapy provided. However, the STRIVE
study took this into account and gave
credit only for weekend therapy when it
was reported on the paper data
collection tool. We did not extrapolate
weekday therapy time to the weekend
days, and agree with the commenter that
such a practice would be inappropriate.
Although we noticed a significant
reduction in therapy time when data
were collected with the paper tool, we
believe this is due to the data collection
method and does not indicate a
consistent pattern of significantly less
therapy being delivered on Mondays or
Fridays due to admissions and
meetings. In several facilities, PDA data
collection was used on Wednesday
through Friday rather than Tuesday
through Thursday. When the PDA was
used on Friday, 21 percent of all therapy
time was recorded for Friday. This is
close to the 23 percent of time reported
for Thursday. When paper data
collection was used on Friday, only 12
percent of all therapy time was
recorded, indicating a loss of data with
the paper collection. If admissions and
meetings were the cause of a significant
decrease in therapy time, we would
expect to see this pattern for all Fridays.
Therefore, we believe that our
adjustment methodology is a more
accurate reflection of the services
actually provided during the study.
iii. ADL Adjustments
RUG–IV, like RUG–III, uses a scale
measuring Activities of Daily Living
(ADLs) to identify residents with similar
levels of physical function. This scale is
used to sub-divide (‘‘split’’) each of the
major hierarchical categories except
Extensive Services. It is also used as
part of the qualification criteria for
many of the RUG–IV hierarchical
categories (Extensive Services, Special
High, Special Low, and Cognitive
Performance and Behavioral
Symptoms), and is used as part of the
specific criteria for classifying patients
to RUGs within certain categories. In the
FY 2010 proposed rule (74 FR 22208,
22225–26, May 12, 2009), we proposed
revisions to the RUG–IV ADL Index that
reflect both clinical and statistical
considerations, with the aim of scoring
similarly those residents with similar
function. The comments that we
received on this issue, and our
responses, appear below.
Comment: Many commenters agreed
with the ADL adjustments, stating that
the scale is more sensitive to functional
status and allows for a finer analysis of
changes in functional status over time.
In addition, they agreed with
standardizing the ADL index across the
various levels of the RUG hierarchy.
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Some commenters stated that the ADL
scale does not capture provider burden
as only 4 ADL areas are used in the
calculation, and suggested that other
ADL activities such as dressing and
bathing should be included. A few
commenters were concerned that by
starting the ADL score at ‘0,’ some
providers may perceive a ‘0’ as requiring
no staff time, and that this may cause
providers to discharge patients early,
refuse to admit certain patients, or not
provide the needed supervision or
assistance. One commenter stated ‘‘The
staff time required to provide ‘limited’
assistance with bed mobility,
transferring, toileting, and/or eating
does not vary significantly enough from
the staff time required to provide
‘extensive’ assistance for the same ADL
activities.’’ One commenter stated that
changing the coding of ‘‘Activity Did
Not Occur During the Entire 7 Day
Period’’ from a code of (8) to a code of
(0) for both self-performance and staff
support was logical because the activity
did not occur and, therefore, no
resources were used to support the
activity. However, one commenter
expressed concern regarding the ADL
score of ‘‘0’’ when the component ADL
activity did not occur during the entire
7-day period, and suggested that it
should be modified to take into
consideration end-of-life situations. For
patients in these situations, the
commenter stated the ADL score may be
low, but the level of resources to care for
the resident may be significant, which
would not be reflected in their ADL
score.
Response: We agree that the new ADL
scale is more sensitive and that
standardization of the ADL index across
all RUG hierarchies will improve our
ability to measure functional status
accurately. We did include other ADL
areas during our analysis of STRIVE
data including, but not limited to,
bathing, dressing, and ambulation, as
we did with the original analyses that
established the RUG–III case-mix
methodology. In both studies, we found
that eating, bed mobility, transfers, and
toileting were the strongest predictors of
resource use, and included these four
ADLs in the case-mix system. However,
the resource time associated with all
ADLs is captured in the nursing minutes
assigned to each time study resident,
and is reflected in payments under the
SNF PPS. In addition, we do not believe
that a change in the MDS coding
requirements will result in premature
discharge of patients or that a score of
‘‘0’’ will be incorrectly interpreted as
indicating no need for care. First, we
will provide instructions on the
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meaning of the ADL codes in the MDS
manual. Second and more importantly,
a decision that a patient is able to be
discharged should be based on clinical
judgment, and should follow
standardized facility operating protocols
rather than be determined by an ADL
index score recorded on an MDS.
Thus, we do not agree with the
commenter’s conclusion that the change
in coding ADLs will have a negative
impact on the care provided to patients
in nursing homes. However, we will
incorporate training on the new ADL
index in our upcoming ‘‘train-thetrainer’’ sessions to mitigate concerns on
the new scale and interpretation of its
purpose.
We do not agree with the commenter
who stated that there is no significant
difference in staff resource time when
providing limited assistance compared
to extensive assistance. STRIVE data
demonstrate a difference in staff
resources among the various levels of
assistance that are provided to nursing
home residents. We do, however, agree
that if resources are not provided for an
ADL, then the ADL index should not
reflect that care was rendered. It is
important to note that the ADL index is
based on the 4 late-loss ADL areas and,
therefore, while one ADL activity (for
example, transferring) may not have
occurred during the entire 7-day lookback period, the other ADLs are usually
occurring and would be included in the
ADL index. We agree with the
commenter that the ADL index may not
fully reflect care needs for patients
nearing the end of life. However, we
note that the ADL index is only one
factor used to determine resource use.
The intensity of nursing staff time and
resources for these individuals is
reflected more completely in the
STRIVE minutes and categorical
classification.
Comment: Comments about the
proposed ADL eating component
changes were mixed, expressing both
support and concern. A few commenters
were pleased that we proposed to use
both the Self-Performance and Support
Provided items for eating, indicating
that adding the ‘‘support provided’’
factor to the ADL eating component
score is logical and in correlation with
the other late-loss ADLs. One
commenter was pleased to have
Parenteral/IV and feeding tube items
removed from the eating ADL, as they
have been concerned that this may have
been an incentive for providers to use
feeding tubes rather than providing
assistance to those residents who are
able to eat through oral means. One
commenter was concerned that the
removal of feeding tubes from the ADL
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score for eating would not take into
account the resources required to care
for residents who must rely on tube
feedings for nutrition, and that they
would not be adequately reimbursed.
One commenter cited the statement,
‘‘In the STRIVE analysis, we found that
patients receiving One Person Physical
Assist or more needed comparable staff
resources to patients who were being
fed by artificial means * * * the RUG–
IV ADL component score does not use
Parenteral/IV or feeding tube items.’’
The commenter believed that the
statement about comparable staff
resources is inaccurate, as parenteral/IV
or feeding tube assistance can only be
done by a licensed nurse, while one
person physical assist is most often that
of a certified nurse assistant; thus, these
are not comparable staff resources.
Response: The data from the STRIVE
project indicate that using both the SelfPerformance and Support Provided
items for the eating ADL for all residents
achieves a better categorization of
residents who require assistance. In
RUG–III, a person who receives
nutrition via a feeding tube or
parenteral/IV is assigned a ‘‘3’’ (the most
dependent score for eating) regardless of
the coding in section G, Physical
Functioning and Structural Problems,
specifically item G1Ah (eating, selfperformance). In RUG–IV, instead of
this person being automatically assigned
the most dependent score for eating, the
score will be based on both the SelfPerformance and Support Provided
codes. For the MDS 2.0 and the MDS
3.0, the assessor is to code how the
resident eats and drinks, including
nutritional intake via artificial means;
for example, tube feeding, total
parenteral nutrition. The assessor is
expected to enter codes for eating when
a person receives nutrition orally or
through a feeding tube or other means.
Therefore, the resources to care for a
patient with tube feeding are captured
on the MDS and in the ADL index and,
thus, in reimbursement. We would like
to clarify that when we discuss staff
resources, we are using wage-weighted
minutes. For example, when the
licensed nurse provides nutrition to a
resident via a feeding tube, the cost is
more per hour but the time it takes is
less relative to a situation in which an
aide feeds a resident who requires total
assistance. When an aide feeds a
resident who requires total assistance,
the cost per hour is less but the time
required is greater. Therefore, the wageweighted resource time is comparable.
This was validated by the STRIVE study
data.
In this final rule, we are finalizing the
revisions to the RUG–IV ADL index as
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proposed in the FY 2010 proposed rule
(74 FR 22225–27).
iv. ‘‘Look-Back’’ Period
In the RUG–III case-mix classification
system, we identified five services that
the data showed to require the highest
levels of staff time use: Ventilator/
respirator, tracheostomy, suctioning, IV
medications, and transfusions. The
instructions for coding these items in
the MDS 2.0 specified that the item
should be coded if it was furnished
within the prior 14 days, even if the
services were provided to the resident
prior to admission to the SNF. In this
way, the MDS 2.0 would collect data
that should be considered during the
patient care planning process. When the
RUG–III system was developed, we
retained the MDS 2.0 coding procedure
regarding these 5 items, based on a
clinical analysis suggesting that they
would serve as a proxy for medical
complexity and higher resource use
after admission to the SNF. However, in
the SNF PPS final rule for FY 2000 (64
FR 41668–69, July 30, 1999), we
reserved the right to reconsider this
policy in the future ‘‘* * * if it should
become evident in actual practice that
this is not the case.’’ In the FY 2010
proposed rule (74 FR 22208, 22227, May
12, 2009), we noted that we analyzed
the STRIVE data to test the effectiveness
of including services furnished during
the prior hospital stay in the
classification system. We found that, for
these five services, utilization during
the prior hospital stay does not, in fact,
provide an effective proxy for medical
complexity for SNF residents, and
instead results in payments that are
inappropriately high in many cases.
Accordingly, we proposed to modify the
look-back period under RUG–IV for
items in section P1a, Special Treatments
and Procedures, of the MDS 2.0, to
include only those services that are
provided after admission (or
readmission) to the SNF. The comments
that we received on this issue, and our
responses, appear below.
Comment: Many commenters agreed
that the look-back to the prior hospital
stay should be changed so that only
services furnished during the SNF stay
are reflected in the SNF case-mix
classification. In particular, in States
that have rate equalization (that is, the
private-pay resident must pay the rate
established by the case-mix system),
private-pay residents would now pay
only for services received while a SNF
resident. Several commenters believed
that the SNF staff need to be aware of
services provided to the resident during
the acute stay, in order to develop an
appropriate plan of care and ensure that
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adequate services are provided during
the SNF stay. However, some believed
that this information does not need to be
collected on the MDS, and
recommended removing the first
column for the Special Treatments,
Procedures, and Programs (Section O)
draft MDS 3.0 or making that column
optional. Others disagreed with CMS
changing the look-back into the hospital
stay. Many argued that such a change
would fail to account for the severity of
the patient’s condition upon arrival at
the SNF. Others believed that
eliminating the look-back would
negatively affect quality of care
provided to SNF residents and could
result in increased readmissions back to
the acute setting. Finally, one
commenter stated ‘‘limiting the lookback in section P1a to exclude hospital
services would unfairly punish SNFs
that provide valuable services to highacuity rehabilitation patients whose care
is more costly to provide.’’
Response: As we stated in the
proposed rule, we specifically collected
staff time data on special treatments that
are often provided in a hospital but are
not often provided in a SNF after
hospital discharge. Analysis of the
STRIVE data shows that: (1) The ‘‘lookback’’ period does, in fact, capture
services that are provided solely prior to
admission to the SNF; and (2) there is
a much lower utilization of staff
resources for individuals who received
certain treatments solely prior to the
SNF stay compared to those who
received those services while a resident
of the SNF. In fact, the resources
provided to patients who received
treatments provided only prior to
admission are similar to patients who
never received those treatments in
either setting. Again, the look-back does
not provide an effective proxy for
medical complexity and, thus, has
resulted in payments that are
inappropriately high for many cases.
However, we do believe that for care
planning purposes, the SNF staff should
be aware of the services that were
provided during the acute stay and,
thus, we did not propose to eliminate
the look-back from the assessment tool
for these Special Treatments and
Procedures. Instead, we proposed to
expand the MDS 3.0 for these items to
two columns. The first column allows
providers to code those services that
were provided prior to admission for
care planning purposes.
We are concerned that commenters
believe that eliminating the look-back to
the hospital stay from the payment
system will result in poor quality of care
provided to SNF residents. The SNF is
expected to provide the care required to
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achieve and/or maintain the resident’s
highest practicable level of well-being.
However, as this concern was raised by
several commenters, we will monitor
the re-admission rates to hospitals and
other proxies that may indicate poor
care outcomes, such as QMs. In
addition, we will work with the other
CMS components to ensure that
facilities are adhering to survey and
certification requirements, including
providing appropriate care to residents.
Further, we do not believe that
limiting the look-back period for P1a
services would unfairly punish SNFs
that provide services to high-acuity
patients. As stated above, the STRIVE
data do not support the premise that
services provided only during the
hospital stay to SNF residents result in
higher costs to the SNF. Limiting the
look-back period helps to ensure that
adequate and appropriate payments are
made for services received during the
SNF stay, while eliminating
inappropriately high reimbursement for
services that are provided solely prior to
admission. Thus, if a patient receives
high-acuity services during the SNF
stay, those services should be
adequately reimbursed. Therefore, we
will eliminate the look-back period into
the hospital stay for those specific
services in section P1a on MDS 2.0, but
we will maintain the ability for the
provider to code those services provided
prior to admission to the SNF on the
MDS 3.0 by expanding the MDS 3.0 for
these items to 2 columns. We believe
that coding for these pre-admission
services on the MDS 3.0 will allow
providers to effectively capture these
services for care planning purposes.
Comment: One commenter pointed
out that the study for MDS 3.0
conducted by the RAND Corporation
(RAND), a non-partisan economic and
social policy research group, showed
‘‘look-back periods were highlighted as
a significant issue across the assessment
(MDS 2.0) tool.’’ The commenter further
stated that CMS did not consider the
findings on the STRIVE project with
those of the RAND MDS 3.0 validation
study. A few commenters were
concerned that the changes to the lookback period made after the conclusion
of the RAND analysis resulted in added
burden in completing the MDS. They
suggested that, prior to introducing the
MDS 3.0, a new study should be done
to validate the estimated time needed to
complete the MDS 3.0.
Response: We do not agree with the
assertion that we did not consider the
RAND data when developing RUG–IV
and establishing look-back periods for
the various items used in payment. We
concur with the RAND study that
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having multiple look-back periods on
the assessment tool (for example, 7 days
for some items, 30 days for others; some
requiring look-back prior to admission
to the SNF, while others only since
admission to the SNF; and other lookback differences among the different
items of the MDS) may lead to more
opportunities for errors in coding,
increase record review time and, thus,
increase assessment burden. In making
the final decisions on the look-back
periods that would be applied to each
MDS 3.0 item, we worked to balance
three concerns: Data collection burden
to the provider, consistency of look-back
periods across items, and the sufficiency
of the data points (that is, days of care)
to assign an accurate case-mix
classification for payment. Several of
the look-back periods recommended by
RAND were adjusted later by CMS to
maximize their utility for payment and
quality monitoring. In fact, RAND also
reconsidered the 5-day therapy lookback period used in their study. They
concluded that the 5-day look-back was
too short to capture the therapy staff
utilization and, thus, SNFs would be
substantially underpaid if we adopted a
shorter look-back. Therefore, both
RAND and CMS favored changes to the
look-back periods to enhance the
accuracy of the MDS 3.0 responses.
Finally, we do not believe a validation
study is needed to estimate the time
needed to complete the MDS 3.0, as
none of the changes to the MDS 3.0
look-back periods extend the amount of
data to be collected beyond the current
MDS 2.0 collection period, and do not
represent an additional burden to
providers.
Comment: One commenter stated that
the STRIVE analysis on look-back to
services rendered solely in the hospital
is flawed as only 5 treatments were used
as the basis for this decision, and that
some of these modalities are not widely
available in the SNF setting. Another
commenter stated that if our analysis on
the items in section P1a of the MDS 2.0
assessment is accurate (specifically, that
the staff resources involved when
services were furnished solely during
the hospital stay are significantly lower
than when those services are furnished
during the SNF stay), then MDS coding
for Parenteral/IV feedings (K5a) should
also specify that these services should
only be coded when provided during
the SNF stay, and not during the
hospital stay.
Response: We do not agree that the
change to the look-back period is based
on a flawed analysis. The change to the
look-back period affects only a small
subset of the items reported on the
MDS. Of these, we collected data on 6
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of the 9 Special Treatment and
Procedures that are currently used in
the RUG–III classification system on the
STRIVE Addendum (we inadvertently
did not list oxygen therapy in the
proposed rule as one of the special
treatments and procedures on which we
collected pre- and post-admission data;
therefore, in response to this comment,
we are now clarifying that we also
collected data on oxygen therapy on the
STRIVE Addendum). We considered a
7-day look-back period for services
rendered prior to admission and after
admission to the SNF on the STRIVE
Addendum. We believe that we looked
at a sufficient number of P1a services
used in the RUG–III model to conclude
appropriately that utilization of P1a
services during the prior hospital stay is
not an effective proxy for medical
complexity during the SNF stay. The
frequency of the services coded on the
MDS based on the MDS Active Resident
Information Report (found at https://
www.cms.hhs.gov/
MDSPubQIandResRep.asp) for the
treatments we targeted on the STRIVE
Addendum are as follows (first quarter
2006, STRIVE data collection began
June 2006):
P1ac IV medications 9.5 percent
P1ag Oxygen 13.3 percent
P1ai Suctioning 1.2 percent
P1aj Tracheostomy care 1.1 percent
P1ak Transfusions 1.0 percent
P1al Ventilator or respirator .5 percent
For the 3 P1a services used in the
RUG–III model for which we did not
collect extra data on the STRIVE
Addendum, the frequencies for coding
for the same time frame are:
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P1aa Chemotherapy .5 percent
P1ab Dialysis 1.5 percent
P1ah Radiation .1 percent
Of these, all 3 services are furnished
to a small volume of SNF patients.
Moreover, the actual service may
sometimes be performed outside the
SNF, and at least some of the individual
services within each of these 3
categories are excluded from SNF
consolidated billing and paid separately
under Part B, outside of the bundled
SNF PPS rate. Therefore, we believe it
was appropriate to focus on the 6 P1a
services listed above.
As noted above, we focused on certain
services that, while they are frequently
provided in a hospital, are furnished
less frequently after the admission to the
SNF. One of the main purposes of
including P1a services on the STRIVE
Addendum was to gather data to
determine if utilization of these
treatments in the hospital serves as a
proxy for medical complexity for a SNF
patient, as well as a predictor of SNF
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staff resource utilization. In fact, we
collected data on all of the items used
as qualifiers for the RUG–III Extensive
Services category, as well as oxygen
therapy, a Clinically Complex treatment
coded frequently on the MDS 2.0. As
discussed above, our analysis of 6 of the
9 look-back items listed above clearly
indicated that utilization during a prior
hospital stay is not an effective proxy
for medical complexity for a SNF
patient. Based on this, we believe that
it is appropriate to eliminate the lookback period to the prior hospital stay for
all P1a Special Treatments and
Procedures to ensure that accurate and
appropriate payments are made based
on resources used during the SNF stay.
Finally, one commenter asked us to
limit the look-back period for
Parenteral/IV feedings (K5a) so that
these services are coded on the MDS
only when provided during the SNF
stay, and not during the hospital stay.
We did include 2 items on the
STRIVE Addendum for parenteral
feedings. The first item asked the
assessor to report the number of days
that the parenteral feeding was
administered in the facility over the last
7 days, while the second asked for the
date on which the parenteral feeding
was last administered. However, we
were not able to use this information to
determine with absolute certainty when
the patient received the service in the
SNF. When the data indicated a higher
probability that the feeding was
provided during the SNF stay as
opposed to solely during the hospital
stay, the resources were similar to when
the data indicated that the feeding was
provided exclusively in the hospital. In
other words, for this particular
treatment, the staff resources to care for
a patient who received parenteral
feeding only during the hospital stay
and the staff resources to care for a
patient who received the parenteral
feeding in the SNF appeared to be
comparable and, thus,
indistinguishable. Therefore, based on
the limited nature of the information we
have available at this time, we do not
believe that it would be appropriate to
limit the look-back period for
Parenteral/IV feedings (K5a) so that
these services are coded on the MDS
only when provided during the SNF
stay (and not during the hospital stay).
Thus, we will maintain our current
MDS instructions for coding Parenteral/
IV feedings (K5a), such that patients
may be coded as receiving parenteral/IV
feedings, regardless of whether they
receive them before or after admission
to the SNF.
Comment: One commenter stated that
SNFs are admitting more complex
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patients and, thus, by eliminating the
look-back into the hospital stay, CMS is
‘‘reinforcing a compartmental approach
towards assessing a patient’s care
needs.’’
Response: We do not agree. As stated
earlier, we will continue to have
providers code services that are
provided during the acute hospital stay
on the MDS 3.0 for care planning
purposes. Therefore, we continue to
encourage the sharing of information
between settings, and believe that the
SNF will still be able to properly assess
and develop an appropriate care plan
based on services provided prior to SNF
admission.
Comment: One commenter
characterized the elimination of the
look-back period into the hospital stay
as a ‘‘rate cutting measure.’’
Response: Neither the MDS 3.0 nor
the RUG–IV were designed as or
function as ‘‘rate-cutting measures.’’ As
discussed above, limiting the look-back
period for P1a Special Treatments and
Procedures ensures that adequate and
appropriate payments are made for
patients that actually receive these
services during a SNF stay, while
eliminating inappropriately high
reimbursement for services that are
provided solely prior to admission.
Furthermore, by introducing the RUG–
IV classification system in a budget
neutral manner, we ensure that parity is
maintained between aggregate payments
to SNFs under RUG–III and RUG–IV.
For FY 2011, the system is being
designed so that overall payments under
RUG–IV will be at the same level as
what overall payments would have been
under RUG–III if we had not changed to
the new model. Although aggregate
payments do not change, the
distribution of payments does change,
which is why the payment rates for the
complex medical groups (that is,
Extensive Care, Special Care, and
Clinically Complex) will increase
significantly.
As proposed in the FY 2010 proposed
rule (74 FR 22227–28), we are
modifying the look-back period under
RUG–IV for the Special Treatment and
Procedures currently listed in section
P1a of the MDS 2.0, to include only
those services that are provided after
admission (or readmission) to the SNF.
In addition, we will expand the MDS
3.0 for these items to 2 columns. The
first column will allow providers to
code services that were provided prior
to SNF admission for care planning
purposes.
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v. Organizing the Nursing and Therapy
Minutes
In the FY 2010 proposed rule (74 FR
22208, 22228, May 12, 2009), we
discussed the proposed organization of
nursing and therapy minutes under the
RUG–IV model. The comments that we
received on this subject have been
addressed in detail in section III.C.1.b.ii
of this final rule.
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vi. Data Dissemination
Comment: One commenter stated lack
of access to data limited the ability to
determine whether or not the sample
can be relied upon to generalize
nationally. Another commenter said that
the STRIVE data disseminated to date
provided little information about the
study’s findings on resource utilization
by provider type, size, and case mix.
Response: We do not agree with the
comments indicating that we have
provided insufficient data to evaluate
this effort. Rather, from its very
inception, we have taken every
opportunity to seek input on and share
available information about the progress
of our research, not only through the
rulemaking process, but also in Open
Door Forums, at numerous Technical
Expert Panels and other meetings, and
on our Web site. In fact, we regard the
exceptionally detailed and varied nature
of the commenters’ critiques of our
supporting data as at least in part a
direct reflection of the unusually large
amount of data that we have made
available to the public throughout this
process. We note that even after the
issuance of the FY 2010 SNF PPS
proposed rule, we continued to respond
to requests for technical assistance. We
took questions on a daily basis, and
posted additional technical materials on
our Web sites so that all stakeholders
could have access to the technical
questions that we received. In addition,
we note that in section III.C.1 of this
final rule, we have addressed comments
regarding the representativeness of the
STRIVE sample.
We also wish to note that one of the
large provider groups submitted a
detailed report by an independent
contractor, stating that the lack of
available data precluded ruling out the
possibility that the study was seriously
flawed. While we appreciate the
concerns raised in this report, we have
no way of knowing what data were
provided to the researcher in order to
conduct the analysis, as we did not
receive any requests for technical
information or clarification. Thus, in
section III.C.1 of this final rule, we have
provided detailed responses to the
independent researcher’s report, but
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cannot accept the researcher’s more
global conclusions on methodological
flaws and the validity of the study.
Finally, a few commenters expressed
their concern that CMS has not
provided them with the raw data used
in the study, and cited the
unavailability of raw data as the reason
they could not adequately evaluate the
RUG–IV model. CMS does not typically
release analytic data files that contain
data on participating facilities,
participating employees, or on
individual patients whose data are
HIPAA-protected. We did, however,
eliminate the personally identifiable
data, and made a detailed analytic file
available to all stakeholders. We believe
that this file, in conjunction with the
RUG–IV grouper, data on the
anticipated redistribution of patient
days under the RUG–IV, and the CMIs
calculated for use in the RUG–IV model,
provided more than sufficient data to
evaluate the impact of the conversion to
RUG–IV. Thus, we do not agree with the
commenters who claimed that we failed
to provide adequate data for the
evaluation of the RUG–IV model.
Comment: One commenter requested
CMS to provide the public with
additional information about how
occupational therapists were asked to
record their time and interventions with
residents using HCPCS codes through
personal data assistants (PDAs) and a
paper-based tool. The commenter
expressed concern that therapists
unfamiliar with HCPCS codes would be
confused reconciling Medicare Part B
HCPCS coding policies (CCI edits, 8
minute rule, etc.) with the ‘‘click on/
click off’’ mentality of the STRIVE data
collection PDA tool. The commenter
was concerned that the inexperience of
occupational therapists with these
HCPCS codes could have skewed the
study results.
Response: As part of the STRIVE
study preparation, we worked with the
therapists at the participating facilities,
and trained them on study procedures.
The therapists were not required to use
HCPCS codes to report the modalities
provided to each patient. Instead, the
description of the services was included
in the PDA by name, and the HCPCS
code was listed next to it to assist those
therapists who were more familiar with
the codes than with the modality
descriptions. We did not receive any
complaints from the participating
therapists that they were either
unfamiliar with or did not know how to
use HCPCS codes within the context of
the STRIVE data collection.
Comment: A few commenters
indicated that using an ‘‘unvalidated
RUG–IV grouper’’ with a new MDS 3.0
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40325
assessment instrument is inconsistent
with CMS’s policies in developing the
PPS for other Medicare providers, and
does not meet OMB standards that
regulatory analysis should be
transparent and the results must be
reproducible. In addition, a commenter
noted that, in the interest of full
disclosure and transparency, CMS has
an obligation to disclose project
limitations and uncertainties, and
should consider additional research
prior to rulemaking to evaluate such
limitations.
Response: We do not agree with the
commenters’ assertions that we are
proposing an ‘‘unvalidated RUG–IV
grouper.’’ The methodology used to
develop the RUG–IV grouper applies the
same analytical procedures to the
STRIVE data as were used to create the
original RUG–III grouper. The validation
process used to update the case-mix
classification system to RUG–IV is
described in detail in section III.C.1 of
this final rule. In addition, we
conducted detailed comparisons of the
MDS 2.0 and MDS 3.0 to develop
crosswalks, and tested these crosswalks
to ensure that the RUG–IV grouper
classified residents to the same groups
using either the MDS 2.0 or MDS 3.0.
These crosswalks have been posted on
the CMS Web site at https://www.cms.
hhs.gov/nursinghomequalityinits/25_
nhqimds30.asp.
In addition, as evidenced by the
detailed discussion in section III.C.1 of
this final rule, we are confident that we
have met OMB’s requirements for
regulatory analysis and full disclosure.
Moreover, we evaluated the STRIVE
findings at every stage of our research
over the past 31⁄2 years, and conducted
additional analyses to test our findings
and strengthen the validity of the RUG–
IV model. As the evaluation of project
findings was built into the project plan,
we do not accept the assertion that
additional research is needed before
introducing the RUG–IV case-mix model
for FY 2011.
2. The RUG–IV Classification System
In the FY 2010 proposed rule (74 FR
22208, 22229, May 12, 2009), we
discussed the various features of the
proposed RUG–IV model, and compared
the proposed model to the existing
RUG–III model that is currently in use.
The comments that we received on this
subject, and our responses, appear
below.
General Comments
Comment: We received a variety of
comments regarding the Medicare RUG–
IV model, with some commenters
expressing support and others
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expressing concern over the proposed
changes. One commenter characterized
it as an improvement over the current
Medicare RUG–III model that better
represents the clinical needs and
resource utilization of nursing home
residents. Another commenter noted
that, while a Medicaid model of RUG–
IV has yet to be published, if the
changes parallel the Medicare model,
the result will be a more appropriate
case-mix reimbursement system that
fairly classifies residents. Commenters
from a major industry organization
commended CMS on its efforts to
expand RUG–IV classifications
accounting for the relative resource
utilization of different case-mix groups.
They believe the modification of the
eight levels of hierarchy and the
increase in the number of case-mix
groups from 53 to 66 is a step in the
right direction for allowing SNFs and
therapists to define and document the
patient’s needs and resources more
accurately, thus improving the quality
of care. They encourage CMS’s
continued efforts in this area.
Other commenters questioned the
accuracy of the RUG–IV model in
capturing changes in acuity, such as the
higher nursing complexity for patients
in rehabilitation groups. While several
commenters appreciated the added
levels for extremely complex patients
with ventilators and/or isolation, they
were concerned that the RUG–IV model
did not adequately recognize patients
that had high-cost IV medication and
pharmaceutical needs.
Response: The RUG–IV model was
derived from the STRIVE data, and we
believe that it reflects current practice
and resource use in SNFs. However, we
recognize that, no matter how accurately
we identify typical practices and
resource needs, there are atypical cases.
In the FY 2010 SNF PPS proposed rule,
we discussed our efforts to develop a
separate method to reimburse for nontherapy ancillaries (NTAs), such as the
IV medications and pharmaceuticals
discussed by these commenters. We are
committed to developing an NTA
classification system as quickly as
possible to recognize these higher costs.
increased nursing and respiratory
therapist resources, even more so than
trachesotomy care. The commenter
stated that the proposal to move
suctioning from the Extensive Care
Category to a lower RUG category would
significantly decrease their
reimbursement.
Response: In the vast majority of
cases, the STRIVE data showed that
suctioning was highly correlated with
the tracheostomy or ventilator services.
Even in the absence of these two
Extensive Care services, suctioning was
associated with other respiratory
conditions that are included in RUG–IV
Special Care categories. We did find a
small number of cases where suctioning
was recorded on the MDS in the absence
of any other respiratory condition or
service. The data show that the staff
resource time captured for this subset of
suctioning patients was significantly
lower than for patients reporting both
suctioning and respiratory conditions.
Eliminating suctioning as a RUG–IV
qualifier only affects this smaller group
where the service appears unrelated to
respiratory conditions. Thus, we do not
believe that the removal of suctioning as
an independent qualifier will reduce the
incentive for SNFs to admit respiratory
patients or decrease reimbursement.
Extensive Category
Comment: Several commenters
supported the proposed changes in the
Extensive Services Category in the
RUG–IV model. A few commenters
expressed concern over the removal of
suctioning, noting if that if it is
removed, Medicare will provide little
reimbursement or incentive for SNFs to
admit respiratory patients. One
commenter noted that the frequent
suctioning required by far utilizes
Fever with Dehydration
Comment: One commenter questioned
the inclusion of dehydration as a
qualifier with accompanying fever in
the Special Care High Category versus
the removal of dehydration alone as a
qualifier in the Clinically Complex
Category. To the commenter, the
proposed rule appeared to indicate that
dehydration as a qualifier has been
removed from ‘‘any’’ category, implying
that dehydration, even in combination
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Special Care High and Special Care Low
Categories
Comment: Several commenters
supported the RUG–IV expansion and
splitting of the RUG–III Special Care
Categories into the Special Care High
and Special Care Low Categories. These
commenters also stated that while the
addition of several new case-mix groups
adds complexity to the model, the
splitting of Special Care into a High and
Low category adds finer distinctions of
resource utilization and, thus, payment
rates.
Response: CMS acknowledges the
support of the commenters and concurs
with the point of finer distinctions of
resource utilization and payment rates
by implementing a split of RUG–III
Special Care Category into Special Care
High and Special Care Low Categories
in RUG–IV.
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with fever, would not contribute as a
qualifying element to any RUG
classification. The commenter
questioned whether it was CMS’s
intention to leave dehydration as a
qualifier in the Special Care High
Category, in combination with fever; if
so, then CMS should clarify the
statement about dehydration in the
proposed rule.
Response: As discussed in the FY
2010 proposed rule (74 FR 22231–34),
dehydration was dropped as a qualifier
in any category based on a finding by
the American Medical Association
(AMA) that there is no standard
definition of dehydration among
providers (see Faes, MC, ‘‘Dehydration
in Geriatrics,’’ Geriatric Aging, 2007:
10(9): 590–596, available online at
https://www.medscape.com/viewarticle/
567678). We further stated that based on
our MDS review, we believe that this
qualifier is subject to a wide range of
interpretation and, therefore, is
unreliable as a standard for RUG
classification. The inclusion of
dehydration in conjunction with fever
was inadvertent. In dropping
dehydration as a qualifier in any
category, for the reasons set forth above,
dehydration should have been dropped
as a qualifier accompanying fever. Thus,
in response to the comment, we are
clarifying that in RUG–IV, we are
dropping dehydration as a qualifier
accompanying fever in the Special Care
High category. However, we are
clarifying that fever in combination with
pneumonia, vomiting, or weight loss are
still qualifiers in the Special Care High
category under RUG–IV.
Comment: One commenter indicated
that the amount of nursing resources is
directly correlated with the number of
wounds a patient has, and that patients
with multiple wounds would be better
reflected in the Special Care High RUG
category. For example, Patient A
requires skilled treatment for two stage
2 wounds. The nurse is able to complete
the wound care independently. Patient
B requires skilled treatment for two
stage 2, one stage 3, and two stage 4
wounds on various locations of the
body; the nurse is able to complete the
wound care independently, but it may
take a significant amount of time to care
for the wounds. The commenter
believed that the more wounds a patient
has, the more resources they will
require.
Another commenter believed that
Stage 2 pressure ulcers should be in
Special Care Low, and that Stage 3 and
4 should be in Special Care High,
because they require more nursing time
and treatments than Stage 2 ulcers. One
commenter was concerned that venous
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and arterial ulcers may be misclassified,
and that definitions should be available
for the different types of ulcers.
Response: Based on these comments,
we conducted numerous reviews of the
STRIVE data regarding staff resources
used to treat ulcers, and have
determined that the research supports
that we classify venous and arterial
ulcers for payment purposes with
pressure ulcers; however, it does not
support separating wound care into 2
separate categories. We will maintain
the policy outlined in the proposed rule
and keep pressure ulcers in the Special
Care Low category based on resource
use associated with these conditions. As
proposed, the patient will qualify for
this category if 1 of the following is
present along with 2 or more skin
treatments:
• 2 or more Stage 2 pressure ulcers;
or
• 1 or more Stage 3 or Stage 4
pressure ulcers.
In addition, based on our review of the
STRIVE data, the patient will also
qualify in the Special Care Low category
if 1 of the following is present along
with 2 or more skin treatments:
• 2 or more venous/arterial ulcers; or
• 1 Stage 2 pressure ulcer and 1
venous/arterial ulcer.
We will define the different types of
ulcers in the RAI manual as the
commenter suggested.
Comment: A few commenters
questioned the elimination of several
Special Care qualifiers. These included
fever with tube feeding, and aphasia
with tube feeding. While the
commenters understood that CMS has
proposed these changes as a result of the
data derived from the STRIVE time
study, they regarded the conclusion as
counterintuitive to what is known to be
in practice: For example, in the case of
both fever and aphasia, it is clear that
these conditions seriously complicate
the course of treatment and result in
significant added resources of both staff
time and medical supplies. While the
commenters commended the statistical
analysis and modeling that went into
these decisions, they asked that CMS
reserve final judgment on these issues
for review prior to finalization of RUG–
IV.
Response: We believe that the STRIVE
data accurately reflect wage-weighted
staff time resources for aphasia with
tube feeding. As discussed in the
proposed rule (74 FR 22231), we are
dropping aphasia based on the average
staff resource time associated with that
condition. As discussed in the FY 2010
proposed rule, we dropped the aphasia
requirement because, based on the
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results of the STRIVE analysis, aphasia
no longer correlated with tube feeding.
Thus, we are retaining tube feeding as
a Special Care Low qualifier, but are
dropping aphasia. The mechanism of
placement in a specific RUG group is
such that a patient qualifying for the
particular group had no other qualifiers
for placement in a higher group. Had
that been the case, then the patient
would have been included in the higher
group reflecting more resource
utilization. Patients with aphasia
frequently qualify for a higher
Rehabilitation Category, because
aphasia is often accompanied by
another condition that warrants such a
RUG classification. All of these medical
factors blend into the overall resource
utilization statistical mosaic for the
RUG–IV system.
Based on the comments received, we
reviewed the data on the staff resources
required to treat patients with feeding
tubes. We found that fever was a
complicating factor and that the
resources needed to treat a patient with
both fever and a feeding tube were
significantly higher than for a feeding
tube alone. Thus, we will keep fever
with tube feeding as a qualifier in the
Special Care High category. Again, tube
feeding alone remains as a Special Care
Low item.
Clinically Complex Category
Comment: A few commenters
responded positively to the expansion
in the number of groups from 6 to 10 in
the RUG–IV Clinically Complex
Category. They noted that the expansion
is due to increasing the number of ADL
score breaks, particularly for moderate
and more independent functioning
residents.
Response: CMS acknowledges the
support of the commenters and believes
the expansion will capture a more
accurate reflection of resource
utilization in the SNF.
Pneumonia and Oxygen Therapy
Comment: One commenter stated that
there appeared to be better
reimbursement for pneumonia and
oxygen therapy and was pleased that it
would help with the care of these
patients. Another commenter expressed
concerns regarding oxygen therapy,
stating this item can be gamed very
easily. They recommended that CMS
define what oxygen therapy is and
specify a minimum amount of time/days
for classification in the Clinically
Complex Category. They pointed out
that currently, SNFs can code this item
if there is oxygen available on a PRN
(‘‘as needed’’) basis, and that the
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40327
resident needs to use it only once to
qualify for the category.
Response: CMS has considered the
suggestion of the commenters and
reviewed the STRIVE data. In doing so,
we have determined that, based on
average resource use, oxygen therapy
with respiratory failure, rather than
oxygen therapy alone, should qualify for
the Special Care Low Category, as the
average resource time for oxygen
therapy with respiratory failure is more
consistent with the average resource use
associated with the Special Care Low
category. Oxygen therapy alone, based
on average resource time, will qualify
for the Clinically Complex Category.
Regarding the suggestion for defined
oxygen therapy regimens for
classification in the Clinically Complex
category, we note that the patient must
require skilled services, and under the
regulations at 42 CFR 409.33(b)(8),
services that qualify as skilled nursing
services include the initial phases of a
regimen involving the administration of
medical gases. Because the initial
phases of an oxygen therapy regimen
qualify as SNF services, we are not
going to require a minimum number of
days or amount of time for
classification, and will maintain the
MDS 2.0 coding instructions for oxygen
therapy for use in the RUG–IV model.
Physician Orders
Comment: One commenter supported
dropping physician orders as a qualifier
due to lack of specificity and the
variable nature of this qualifier, making
it an unreliable predictor of resource
use. Another commenter expressed
confusion about the physician order
qualifier, and whether it was CMS’s
intention to remove all physician orders
as qualifiers in any category. A few
commenters disagreed with the
statement about physician orders being
an unreliable predictor of resource use.
One commenter with a background in
nursing noted that it does not make
sense to say that it does not take
significant time to review new orders,
carry them out, order medications from
the pharmacy, order labs, etc., and that
this is one of the major reasons subacute units are busier than long-term
care units. Another commenter stated
that physician order changes are a good
way to capture instability, and that the
care of unstable residents can be more
costly due to their increased use of lab
tests, new medications, and nursing
time.
Response: While the RUG–III model
has used physician order changes as a
proxy for instability, analysis of the
STRIVE data did not support its
continued use because of its lack of
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specificity and variable nature. In an
effort to achieve greater clarity and
prevent misinterpretation, as we
proposed, we are eliminating the
physician orders qualifier from the
Clinically Complex Category in RUG–
IV. However, we are clarifying that we
are retaining physician order changes in
association with diabetes (that is,
requiring daily insulin injections and
physician insulin order changes on 2 or
more days) in the Special Care High
category because the STRIVE data show
that physician orders in combination
with diabetes with injections is a
reliable predictor of resource use. The
MDS 3.0 is being modified to collect
physician order changes specifically
related to the patient’s diabetic
condition.
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Internal Bleeding
Comment: One commenter noted that
as a result of the STRIVE study, internal
bleeding was dropped as a qualifier.
While the commenter understood that
CMS has proposed these changes as a
result of the data derived from the
study, the commenter regarded the
conclusion as counterintuitive to what
is known to be in practice: This
condition seriously complicates the
course of treatment and the result is
significant added resources of both staff
time and medical supplies. Another
commenter pointed out that transfusion
services are costly to SNFs, and favored
their inclusion as an indicator for RUG
payment calculation, not simply for care
planning purposes.
Response: CMS recognizes that
internal bleeding can be a serious
medical condition requiring an unusual
amount of staff resources and supplies
to control. However, the resource
minutes derived from the STRIVE study
were significantly lower than other
conditions classified into the Clinically
Complex category. These results suggest
a high degree of variation in the
conditions coded as internal bleeding
that makes the item unreliable for use in
a case-mix classification model. We
wish to note that transfusions have been
retained as a Clinically Complex
qualifier in the RUG–IV model.
Dehydration
Comment: There were several
comments about the removal of the
dehydration qualifier for the Clinically
Complex Category. Comments from a
major industry organization agreed with
CMS regarding the lack of a standard
definition of dehydration, and that the
signs and symptoms of dehydration may
be vague and even absent in older
adults. Commenters believed that
continuing to use dehydration as a
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qualifier could result in inaccuracy in
RUG classification. The commenters did
not minimize the potentially serious
nature of dehydration and the need for
prompt medical attention in some cases,
but rather, supported dropping it as a
qualifier in order to improve coding
accuracy.
Another commenter cited the
American Medical Directors
Association’s (AMDA’s) newly revised
clinical practice guideline,
‘‘Dehydration and Fluid Maintenance in
the Long-Term Care Setting’’ (see https://
www.cpgnews.org/DF/index.cfm).
Specifically, the commenter cited the
AMDA as concluding that the confusion
over the definition of the nonspecific,
generic term dehydration results in
confusion about the clinical diagnosis of
dehydration in the long-term care (LTC)
setting. According to the commenter,
AMDA has concluded that dehydration
is an unreliable quality of care indicator.
A number of commenters stated that
while dehydration may be difficult to
quantify (as stated in the proposed rule),
the requirement to assess, plan,
intervene, evaluate, and revise care
plans for the patient at high risk of
dehydration remains a significant
clinical issue. The commenters further
stated that instances whereby facilities
fail to complete such assessment and
documentation is not a valid reason to
eliminate appropriate reimbursement
for facilities that do provide the
necessary standard of care.
Response: CMS agrees with the
commenters stating that continuing use
of dehydration as a qualifier could
result in inaccuracy in RUG
classification. As demonstrated by the
wage-weighted staff time resource
utilization, dehydration is an unreliable
indicator of resource use. Therefore,
dehydration has been removed as a
qualifier from the Clinically Complex
category of RUG–IV, and has also been
removed as a qualifier accompanying
fever in the Special Care High category.
However, we would like to emphasize
that we agree with the commenters
regarding the severity of dehydration
and the requirement for prompt medical
attention. We expect that dehydration is
seen in association with other services
and conditions that are used as RUG–IV
qualifiers. Thus, we do not expect that
this change will discourage appropriate
care or eliminate reimbursement for
Medicare patients with skilled care
needs.
IV Medications
Comment: Some commenters did not
support the movement of the IV
medications qualifier from the Extensive
Services Category to the Clinically
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Complex category. The commenters
indicated that IV medications drive high
cost to the SNF, and this downward
movement of IV medication will not
cover the cost of purchasing most IV
medications. The commenters
recommended further study of the type
of residents seen in the SNF setting, and
reviewing the cost of providing that care
in relationship to IV medications. If the
shift to the Clinical Complex category
would occur, the commenters
recommended excluding the High cost
IV medications from SNF consolidated
billing.
Some commenters believed the
inclusion of IV medications as an
Extensive Services qualifier, as it is in
the RUG–III classification system,
appropriately captures the cost of
providing the critical treatment these
therapies offer to ill and injured
patients.
Response: Although certain
medications may have high costs, the
STRIVE study data show that the
average resource times related to IV
medications are more reflective of
conditions in the Clinically Complex
category than the Extensive Services
category. CMS recognizes the impact of
high-cost medications on SNFs and is
presently developing a protocol to
assess the impact of non-therapy
ancillaries, as discussed in the FY 2010
proposed rule (74 FR 22238–41).
However, as discussed further in section
III.G of this final rule, we currently do
not have the statutory authority to
exclude items such as IV medications
from consolidated billing.
Look-Back Period for IV Medications
Comment: Some commenters
expressed concern that the proposed
RUG–IV model will eliminate all
services provided in the acute setting,
such as IV medications, as a qualifier for
higher RUG categories. The commenters
stated this eliminates the ‘‘presumption
of coverage’’ that we clarified in the
SNF PPS final rule of July 30, 1999 (64
FR 41666–41670), which allows a
beneficiary who was in the acute setting
for pneumonia, septicemia, and
infectious diseases to be considered
‘‘skilled’’ through the first assessment
reference date. The commenters stated
that the removal of the IV fluid ‘‘14-day
hospital look-back’’ qualifier for the
SNF Extensive Services Category in
RUG–IV fails to recognize the high risk
of relapsing conditions with this patient
population. The commenters believe
this should be a consideration in skilled
nursing assessment during the initial
five-day assessment period, and that
such care should be appropriately
reimbursed, as it is in the current RUG
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structure. These commenters stated that
removal of this qualifier will lower the
payment to SNFs, and that when IV
medication does qualify, moving from
Extensive Services to Clinically
Complex will also result in lower
payment. The commenters believed the
nursing care of administering the IV will
no longer count as a key factor in
obtaining a refinement RUG and will
essentially eliminate the refinement
RUGs in most if not all Medicare stays.
In addition, they believed that the
reimbursement will not be enough to
pay for the cost of the IV, let alone the
cost of providing the nursing care
required to administer the IV.
Several commenters believed the
appropriate and necessary monitoring of
the patient to prevent recurrence or
exacerbation of the condition for which
the IV medication was provided is a
reason for inclusion in the Extensive
Services category, and that it has not
been considered in the removal of IV
medication in the look-back period.
Some commenters noted that the
STRIVE data analysis of the 14-day
‘‘look back’’ period for IV medication
and 7-day ‘‘look back’’ period for IV
fluids did not demonstrate a statistically
significant difference in nursing time.
The commenters suggested that CMS
look at the nursing time spent
monitoring when a resident has had an
IV medication administered within the
last 7 days, and factor it into the nursing
component. The commenters believed
that residents receiving IV medication
in this time frame require a significant
amount of nursing time to monitor side
effects of the medications, as well as
disease exacerbations. The commenters
referenced literature indicating that
SNFs have a lower rate of return to the
hospital than other post acute settings;
therefore, the time spent monitoring
residents, notifying physicians of
condition changes, and implementing
care plan changes must be taken into
consideration when making changes in
the RUG system. The commenters
recommended shortening the window
as opposed to removing the provision
altogether, that is, a 7-day look-back to
capture IV meds. The commenters
requested alternatives be considered
before the proposed rule is
implemented.
Response: CMS recognizes the
concern of the nursing home
community regarding levels of
reimbursement. However, as discussed
above in section III.C.1.b.iv of this final
rule and in the proposed rule (74 FR
22228), our analysis of the STRIVE data
supported the conclusion that the
capture of certain preadmission services
by the look-back does not provide an
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effective proxy for medical complexity
in the SNF, and thus is not an effective
predictor of subsequent resource
intensity during the SNF stay.
Therefore, we believe it is appropriate to
eliminate the look-back to the hospital
stay for P1a services, rather than adopt
a shorter look-back period. However, we
noted in the proposed rule that it is still
important that the SNF consider
preadmission services for care planning
purposes and we have designed the
MDS 3.0 accordingly. Regarding the IV
medications qualifier, as discussed
above, the STRIVE data showed that the
average resource times related to IV
medications are more reflective of
conditions in the Clinically Complex
category. Therefore, we believe that
under RUG–IV, facilities will be
appropriately reimbursed according to
the wage-weighted resource staff time
associated with a patient’s condition. As
discussed above, CMS recognizes the
impact of high-cost IV medications on
SNFs, and is developing a protocol to
assess the impact of non-therapy
ancillaries, as discussed in the FY 2010
proposed rule (74 FR 22238–41).
Finally, we do not agree that eliminating
the look-back period to the hospital stay
eliminates the presumption of coverage,
because even in the absence of the lookback, it remains possible for a resident
to be assigned on the initial 5-day,
Medicare-required assessment to one of
the RUGs that we have designated as
qualifying the resident for the
presumption.
Patient Acuity and RN Care
Comment: Several commenters noted
that the residents requiring IV
medications are sick, as evidenced by
the infection causing the need for IV
antibiotics, and require extra nursing
observation in addition to the RN time
for IV starts, IV ordering, and IV
administration. The commenters
supported not coding the IVs that were
given in the hospital, but questioned
whether we are adequately accounting
for the amount of care provided to
residents receiving rehabilitation and
in-house IVs, noting that there is no
longer a provision for them to get a
higher RUG rate. These commenters did
not support dropping the IV
medications and fluids to a lower RUG
group, arguing that this is a situation
requiring the presence, vigilance, and
assessment skills of a RN. In addition,
these commenters asserted that the
complex nature of the residents of some
SNFs can involve co-morbidities, nonverbal status with varying
communication methods, various levels
of cognitive abilities, and difficult
feeding strategies that can best be
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treated within a specific type of facility,
and that the patients are discharged
from acute care much earlier than the
typical geriatric resident.
Response: CMS appreciates the
support of the recommendation not to
include a 14-day IV look-back as a
qualifier for the RUG–IV classification.
We recognize and value the presence,
vigilance, and assessment skills of an
RN. However, all of the elements
mentioned in the comment, including
nursing observation time, IV starts, IV
ordering, and IV administration, were
captured in all of the nursing homes
participating in the STRIVE time study.
The STRIVE data did not reflect a
statistically significant increase in wageweighted staff time resource utilization
for the patient population receiving IV
medications, and the average staff
resource time for these patients was
more reflective of the Clinically
Complex category.
Non-Patient Nursing Time
Comment: Some commenters objected
to moving the IV medication qualifier to
the Clinically Complex category and
stated that the RUG–IV nursing case-mix
index assigned to IV medications does
not account for the additional expended
nurse resources. They noted that those
resources are affiliated with the increase
in documentation associated with IV
medication administration, and the
specific nurse training required for
effective administration and
management of patients receiving IV
medications; for example, when caring
for a patient receiving IV medications,
the nurse’s time requirements go beyond
the time he/she spends directly with the
patient, and include completing
detailed IV assessment flow sheets,
preparing the IV medication, reviewing
lab work and consulting with the
pharmacist, and becoming IV certified.
Response: Administrative
documentation and other non-patient
nursing time were incorporated into the
STRIVE time study. In addition, the
costs of training and administrative
documentation were captured in the
1995 base year for the SNF PPS’s
bundled rate; any bedside training and
administrative documentation
performed during the time study would
have been captured. Further, as
discussed above, the STRIVE results
supported moving the IV medications
qualifier to the Clinically Complex
category.
Financial Hardship
Comment: Several commenters
believed that dropping IV medications
from the Rehabilitation/Extensive
Services category and the Extensive
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Services category will cause financial
hardship to long-term care facilities, and
undue stress to the residents. The
commenters cited the following reasons:
• They are very expensive, which
may be a factor for consideration in
determining potential admissions to
long-term care facilities. It is hard
enough now not to lose money on
patients requiring expensive IV
medications.
• They are used for very ill residents
who require more nursing hours than
any of the conditions included in any of
the Extensive Care or Special Care
categories.
The commenters did not question the
general findings of the STRIVE project,
but expressed concern about the specific
implications of those findings for IV
medications used in the facilities.
One commenter requested that data
analyses be performed to compare
nursing home residents admitted with
IV therapy to those admitted without IV
therapy, both for their facilities’
residents and for a benchmark of
nursing home residents nationwide. The
commenter presented the results of one
such study. The national benchmark
was constructed using MDS data for all
clients from a specific organization and
its members and includes more than
2,700 facilities nationwide with more
than 400,000 MDS assessments. Two
MDS variables were used in this
analysis: (1) Item P1ac (IV medications),
and (2) item K5a (IV fluids). The
commenter’s analysis of data from the
specific facilities and from the national
data showed statistically significant
differences between the group with IV
therapy and the group without IV
therapy, with the former group having a
higher level of acuity and a greater need
for skilled nursing resources. The
commenters questioned the validity of
the STRIVE study, which demonstrated
no time difference between giving a
patient an oral antibiotic versus
administering an IV antibiotic.
The commenters stated that most of
the patients receiving IV therapy are
elderly and have suffered a major illness
or hospitalization and, thus, require the
IV therapy they are receiving. These
commenters questioned the incentive
for SNFs to continue to provide IV
therapy services if the RUG–IV system
is implemented as proposed.
Another commenter pointed out that
IV medications and IV fluids provided
in a SNF require the presence of an RN
in most States, and that facilities must
employ RNs specifically to provide the
residents with IV services, which can be
costly in rural areas where there are
shortages of healthcare professionals.
The commenter asserted that prior to
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the RUG–53 refinement to the SNF PPS,
residents requiring IV medications or
fluids were frequently rejected by SNFs
because of the expense and difficulty in
finding nurses to provide care. The
commenter expressed concern that
bumping the IV medications down to
the Clinically Complex category will
again adversely affect resident
admissions to nursing homes.
Response: The STRIVE study
captured, and the data reflects, resource
time expended by all staff levels. As
discussed above, the STRIVE study
indicated that the average resource
times associated with IV medications
are more reflective of conditions in the
Clinically Complex category.
Thus, we believe that classification
and reimbursement under the Clinically
Complex category for IV medications is
appropriate, and should not result in
financial hardship. Under RUG–IV,
reimbursement for patients with
complex nursing needs such as IV
therapy will increase significantly, and
should be sufficient to cover the cost
associated with these patients. We will,
of course, continue to monitor
utilization practices to determine
whether there is any impact on access
to or quality of care.
Still, as the payment under RUG–IV
reflects the nursing resources and
patient complexity associated with the
provision of IV medications, we do not
believe that access to care will be
adversely affected. As discussed above,
CMS recognizes the impact of high-cost
medications on SNFs and is presently
developing a protocol to assess the
impact of non-therapy ancillaries as
discussed in the FY 2010 proposed rule
(74 FR 22238–41).
Behavioral Symptoms and Cognitive
Performance Category
Comment: One commenter supported
the combined Behavior Symptoms and
Cognitive Performance Category in the
RUG–IV model. This category combines
the two separate categories of Impaired
Cognition and Behavior Problems in
RUG–III into the single new category
with a combined total of 4 RUG groups
as opposed to 4 in Impaired Cognition
and another 4 in Behavior Problems.
One commenter noted that while
patients would classify in this group
when they display only behavioral
symptoms, or when they display only
issues of cognition, they also remain in
this group even when they have both
conditions. The commenter added that
many residents have issues with both
dementia and behavioral problems and
probably require more resources or staff
time to deal with both issues. The
commenter believes that there needs to
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be an additional category with a higher
CMI that recognizes the combination of
both issues.
Response: During the meeting of the
Technical Expert Panel in Spring 2009,
this issue was discussed at some length.
Unlike the results from other countries,
the United States STRIVE time study
analysis did not indicate that there was
an increased wage-weighted staff time
resource utilization with patients
exhibiting both behavioral and cognitive
issues. Reasons for this may include
effective, monitored medication, and
specialized, well-equipped nursing
facility settings in this country. In
addition, we need to consider whether
the needs of individuals with cognitive
impairment or serious behavior
problems are addressed through
specialized State programs similar to the
Intermediate Care Facilities for the
Mentally Retarded (ICFs/MR) for
targeted populations.
Reduced Physical Function Category
Comment: One commenter supported
the increased case-mix classification
assigned to patients receiving restorative
therapy in the Reduced Physical
Function Category. The commenter
believes this will better reflect the
amount of nursing resources needed to
implement an effective and efficient
restorative program. A few commenters
responded to CMS’s request for
comments on the tertiary split for
restorative nursing in the RUG–IV
model. Specifically, they noted a
discrepancy between the reported
service and the nursing minutes; in
approximately half the Reduced
Physical Function groups, the nursing
minutes were lower for patients where
restorative nursing was reported on the
MDS than for patients who were not
receiving the service. Commenters
suggested most of the nursing
rehabilitation may be provided by
individuals under the direction of
nursing staff who are not classified as
nursing personnel, such as nurse aides
on the floor, therapy aides, and
recreation therapy aides. This, coupled
with the facilities limiting the time
these residents might have received
from licensed nurses, could yield the
results seen. Commenters suggested that
it might be helpful to see whether
licensed nurse time has been reduced
for these residents inappropriately or if
an additional use of aides has
appropriately reduced the level of
licensed nurse need. Regardless, the
commenters believed that the retention
of this split is crucial, as it encourages
continued help for residents to maintain
their highest physical functioning.
Another commenter concurred with the
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proposed rule’s position that restorative
nursing programs benefit all residents,
and cited the findings of a Federal grant
that studied nursing facilities in
Colorado having good restorative
nursing programs, including:
• Decrease in the number of acquired
pressure ulcers.
• Increase in the number of residents
ambulating independently.
• Increase in the number of residents
feeding themselves.
• Decrease in the number of
incontinent residents.
• Decrease in the number of Foley
catheters.
• Decrease in the number of physical
constraints.
• Increase in the number of residents
involved in sensory stimulation,
exercise, and grooming classes.
• Decrease in the number of
contractures.
• Decrease in the number of
accidents.
• Increase in the individual’s mental
stature and awareness.
Response: We appreciate the possible
explanations of the reduced nursing
minutes for patients receiving
restorative nursing. It is plausible that
much of the nursing rehabilitation may
now be provided by aides and that the
wage-weighted staff time resource
utilization for the licensed nurses is
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now less than the time attributed to the
various types of aides and assistants. As
we proposed, we are retaining the
tertiary split for restorative nursing in
RUG–IV, as we believe that it benefits
all patients. As the commenter
suggested, we will consider monitoring
restorative nursing to see whether
licensed nurse time has been reduced
for these residents inappropriately or if
an additional use of aides has
appropriately reduced the level of
licensed nurse need.
Finally, we note that it was brought to
our attention during the comment
period that there were certain
inconsistencies in our FY 2010
proposed rule. We noted these
inconsistencies on our Web site, at
https://www.cms.hhs.gov/snfpps/
02_spotlight.asp. First, we identified
some inconsistencies between the
preamble text at 74 FR 22231 and the
tables in the proposed rule (Table 14
and Table C in the Addendum)
regarding the qualifying conditions for
the Special Care High, Special Care
Low, and Clinically Complex categories.
We are clarifying that the information in
the tables was accurate, with the
correction noted below. In addition, we
identified a necessary technical
correction to Table C in the Addendum
of the FY 2010 proposed rule. The
Special Care High, Special Care Low,
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and Clinically Complex categories for
RUG–IV stated in the Notes section,
‘‘Signs of depression used for end splits;
PHQ score <= 9 or CPS >=3.’’ This
should have read, ‘‘Signs of depression
used for end splits consisted of PHQ
score >=9.5.’’
Accordingly, we are finalizing the
RUG–IV classification system as
proposed in the FY 2010 proposed rule
(74 FR 22229–36) for implementation in
FY 2011, with the corrections noted
above and with the following
modifications:
• Fever with feeding tube has been
added to Special Care High;
• We are clarifying that dehydration
has been deleted as a qualifier in any
category, including the Special Care and
Clinically Complex categories;
• Respiratory failure in combination
with oxygen therapy while a resident is
added to Special Care Low;
• Oxygen therapy alone while a
resident is moved to Clinically
Complex; and
• A patient will also qualify in the
Special Care Low category if 1 of the
following is present along with 2 or
more skin treatments:
Æ 2 or more venous/arterial ulcers; or
Æ 1 Stage 2 pressure ulcer and 1
venous/arterial ulcer.
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3. Development of the FY 2011 CaseMix Indexes
Section 1888(e)(4)(G)(i) of the Act
requires that the Federal rates be
adjusted for case mix. Pursuant to the
statute, such adjustment must be based
on a resident classification system,
established by the Secretary, that
accounts for the relative resource
utilization of different patient types.
The case-mix adjustment must be based
on resident assessment data and other
data the Secretary considers
appropriate.
As discussed in the previous section,
we are finalizing the RUG–IV model to
be implemented in FY 2011. The RUG–
IV update uses data collected in 2006–
2007 during the STRIVE project, and
reflects current medical practice and
resource use in SNFs across the country.
Our description of the proposed RUG–
IV model in the FY 2010 proposed rule
included a discussion of the
development of the case-mix indexes to
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be used under this model (74 FR 22208,
22236–22238, May 12, 2009).
The case-mix indexes will be applied
to the unadjusted rates resulting in 66
separate rates, each corresponding with
one of the 66 RUG–IV classification
groups. To determine the appropriate
payment rate, SNFs will classify each of
their patients into a RUG–IV group
based on assessment data from the MDS
3.0.
Our intent in implementing RUG–IV
is to allocate payments more accurately
based on current medical practice and
updated staff resource data obtained
during the STRIVE study, and not to
decrease or increase overall
expenditures. Thus, consistent with the
policy in place when we transitioned to
the RUG–III 53-group model in FY 2006
(as discussed in section III.B.2.b of this
final rule), we believe that overall
expenditures under the RUG–IV model
should maintain parity with overall
expenditures under the RUG–III 53group model. Therefore, we simulated
payments under the RUG–III 53-group
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model and the RUG–IV 66-group model
to ensure that the change in
classification systems did not result in
greater or lesser aggregate payments.
We used the resource minute data
collected from STRIVE to create a new
set of unadjusted relative weights, or
case-mix indexes (CMIs), for the RUG–
IV model as described in the proposed
rule (74 FR 22208, 22236–22238, May
12, 2009). We then compared the CMIs
for the RUG–53 and RUG–66 models in
a way that is intended to ensure that
estimated total payments under the 66group RUG–IV model would be equal to
those payments that would have been
made under the 53-group RUG–III
model. In the FY 2010 proposed rule,
we stated that we used STRIVE data
with sample weights applied and FY
2007 claims data (the most recent final
claims data available at the time) to
compare the distribution of payment
days by RUG category in the 53-group
model with the anticipated payments by
RUG category in the new 66-group
RUG–IV model. However, after the
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proposed rule was published, final FY
2008 claims data became available. As
we stated in the proposed rule, in the
absence of actual RUG–IV utilization,
we believe that the most recent final
claims data are the best source available,
as they are closest to the FY 2011
timeframe. Because our intent, as
expressed in the FY 2010 proposed rule,
was to use the most recent data
available, we updated our analysis using
FY 2008 final claims data to enhance
the accuracy of our calculation of the
adjustment necessary to achieve parity
between the RUG–53 model and RUG–
IV. Our projections of future utilization
patterns under the new case-mix system
indicated that the 66-group RUG–IV
model would produce lower overall
payments than under the original RUG–
III 53-group model. Therefore,
consistent with the policy in place
when we transitioned to the RUG–III 53group model in FY 2006 (as discussed
in section III.B.2.b of this final rule), we
proposed to provide for an adjustment
to the nursing CMIs that would achieve
‘‘parity’’ between the old and new
models (that is, would not cause any
change in overall payment levels).
Based on our analysis using FY 2008
claims data, the adjustment to the
nursing weights necessary to achieve
‘‘parity’’ is an upward adjustment of
59.4 percent.
The parity adjustment relies on
projecting the utilization for a new
classification system, RUG–IV, based on
a new assessment instrument, MDS 3.0.
Our calculation of the parity adjustment
uses the most recent data available to
estimate RUG–IV utilization for FY
2011. In the absence of actual RUG–IV
utilization data for this timeframe, we
believe the most recent data are the best
source available, as they are closest to
the FY 2011 timeframe. As actual data
for RUG–IV utilization become
available, we intend to assess the
effectiveness of the parity adjustment in
maintaining budget neutrality and, if
necessary, to recalibrate the adjustment
in future years.
We intend to actively monitor the
changes in beneficiary access and
utilization patterns as a response to the
implementation of RUG–IV. For
example, we anticipate that the changes
to the Extensive Services category could
result in increased beneficiary access for
patients with severe respiratory
conditions. In addition, we intend to
monitor utilization for any potential
coding changes that could occur as a
result of the changes to the SNF PPS. If,
in future years, evidence becomes
available that indicates that a change in
aggregate payments are a result of
changes in the coding or classification
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of residents that do not reflect real
changes in case mix, CMS will consider
the authority given to the Secretary
under Section 1888(e)(4)(F) of the Act to
provide for an adjustment to the
unadjusted Federal per diem rates so as
to eliminate the effect of such coding
and classification changes.
We are finalizing the RUG–IV CMIs
utilizing the methodology discussed.
The final RUG–IV CMIs reflecting the
parity adjustment are displayed in Table
14 and, as discussed in the previous
section, we will implement these CMIs
with the RUG–IV system beginning in
FY 2011.
TABLE 14—RUG–IV CASE-MIX
INDEXES
RUG
Nursing index
Therapy index
3.55
3.41
3.48
2.92
3.40
2.86
3.28
2.92
3.01
2.08
2.08
1.32
2.00
1.48
1.47
1.92
1.59
1.22
1.81
1.62
1.12
1.99
0.94
3.55
2.65
2.29
2.20
1.72
2.02
1.58
1.87
1.47
1.84
1.45
1.94
1.52
1.84
1.45
1.54
1.21
1.44
1.13
1.66
1.49
1.54
1.37
1.28
1.14
1.14
1.01
0.87
0.77
1.87
1.87
1.28
1.28
0.85
0.85
0.55
0.55
0.28
1.87
1.87
1.87
1.28
1.28
1.28
0.85
0.85
0.85
0.55
0.55
0.55
0.28
0.28
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
RUX ..........
RUL ...........
RVX ..........
RVL ...........
RHX ..........
RHL ...........
RMX ..........
RML ..........
RLX ...........
RUC ..........
RUB ..........
RUA ..........
RVC ..........
RVB ..........
RVA ..........
RHC ..........
RHB ..........
RHA ..........
RMC ..........
RMB ..........
RMA ..........
RLB ...........
RLA ...........
ES3 ...........
ES2 ...........
ES1 ...........
HE2 ...........
HE1 ...........
HD2 ...........
HD1 ...........
HC2 ...........
HC1 ...........
HB2 ...........
HB1 ...........
LE2 ...........
LE1 ...........
LD2 ...........
LD1 ...........
LC2 ...........
LC1 ...........
LB2 ...........
LB1 ...........
CE2 ...........
CE1 ...........
CD2 ...........
CD1 ...........
CC2 ...........
CC1 ...........
CB2 ...........
CB1 ...........
CA2 ...........
CA1 ...........
PO 00000
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TABLE 14—RUG–IV CASE-MIX
INDEXES—Continued
RUG
BB2
BB1
BA2
BA1
PE2
PE1
PD2
PD1
PC2
PC1
PB2
PB1
PA2
PA1
...........
...........
...........
...........
...........
...........
...........
...........
...........
...........
...........
...........
...........
...........
Nursing index
Therapy index
0.96
0.89
0.69
0.64
1.49
1.39
1.37
1.27
1.09
1.01
0.83
0.77
0.58
0.54
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
The comments that we received on
this subject, and our responses, appear
below.
Comment: Several commenters
questioned our use of Bureau of Labor
Statistics data to determine the wageweighted staff time. Some suggested that
we should have used industry sources
instead. One commenter believed that
the BLS data we used (2006) should be
updated to 2008. A few commenters
said that we did not include enough
information about how the wage
weights were calculated.
Response: In the STRIVE study, wageweighted nursing and rehabilitation
staff times were computed at the
resident level by multiplying the
number of minutes of care that were
provided by each staff type by a wage
weight for that staff type, and then
summing over all staff types.
We believe we included sufficient
information regarding how the wage
weights were calculated in the FY 2010
proposed rule (74 FR 22237). To
establish wage weights for each staff
type, the STRIVE study obtained
national median wage values for staff
types from the May 2006 Bureau of
Labor Statistics/Occupational
Employment Statistics (BLS/OES). Next,
we computed the ratio of median
salaries for the different nursing and
rehabilitation therapy staff to the
median salary of a certified nurse aide.
These ratios were used as salary weights
for each staff category. The BLS/OES
provides national data by staff type for
Nursing Care Facilities and is publicly
available. We considered many other
sources of wage data, such as the BLS
National Compensation Survey
Employer Cost for Employee
Compensation product; however, this
product does not provide national
averages and is not very specific to
nursing homes. We also considered
survey data collected by the industry.
We found that these data were less
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nationally representative, as they were
collected for a smaller number of
facilities and for specific types of
nursing homes. In addition, they were
more limited in the staff types collected.
BLS/OES data contained nearly all of
the staff types we encountered during
the STRIVE data collection.
The STRIVE study allowed facilities
to select from a wide range of staff type
categories. For example, there were 11
different categories for non-licensed
aide staff, as follows:
• Certified Medication Aide.
• Certified Nursing Assistant (CNA).
• Geriatric Nursing Assistant.
• Resident Care Technician.
• Restorative Aide.
• Feeding Aide.
• Transportation.
• Bath Aide.
• Non-certified care tech.
• Clinical Associate.
• Psychological Therapy Aide.
When one of these staff categories
appeared in the BLS/OES, then the
corresponding median hourly wage for
that category was used by the STRIVE
study. The participating facilities used a
variety of titles for staff with similar job
duties; for example, different kinds of
certified nurse assistants (CNAs) or
aides. When a staff category did not
appear in the BLS/OES, a decision was
made to set the wage for STRIVE
computations to a value relative to most
comparable staff category available in
BLS/OES. The relative value used was
based on an assessment of the functions
performed by the staff in relation to the
functions performed by the most
comparable staff category available in
BLS/OES. For example, ‘‘restorative
aide’’ did not occur in BLS/OES and the
wage for restorative aide was set to the
75th percentile of CNA wage. ‘‘Geriatric
nursing assistant’’ did not appear in the
BLS/OES and the wage for this staff type
was set to the median CNA wage. ‘‘Bath
aide’’ was not listed in the BLS/OES and
the wage for this staff type was set to the
25th percentile of CNA wage, as aides
in this staffing category were restricted
to a single function. Generally, the few
staff categories that were not available
in the BLS/OES reported very few
resident-specific time minutes.
BLS/OES is widely used as a source
for average salary information. In fact,
both MedPAC (‘‘Report to Congress:
Promoting Greater Efficiency in
Medicare’’, June 2007) and Acumen,
LLC (https://www.acumenllc.com/
reports/cms) have considered the BLS
data for use in an alternative method to
compute the wage index. Considering
all of the alternatives, we believe that
the BLS/OES represents the best source
of data to establish the STRIVE wage
weights.
The following table presents the
STRIVE study wages and corresponding
wage weights. Wage weights were
standardized so that the CNA value
equaled 1.00. This allowed an
interpretation of a wage-weighted time
as ‘‘CNA equivalent minutes.’’
TABLE 15—STRIVE STUDY WAGES AND CORRESPONDING WAGE WEIGHTS
Job title
Median hourly
wage
(2006$)
Decision *
Wage weight
Nursing Staff
Registered Nurse ..........................................................
Nurse Practitioner .........................................................
Licensed Practical Nurse ..............................................
Licensed Vocational Nurse ...........................................
Certified Medication Aide .............................................
Certified Nursing Assistant (CNA) ................................
Geriatric Nursing Assistant ...........................................
Resident Care Technician ............................................
Restorative Aide ...........................................................
Feeding Aide ................................................................
Transportation ...............................................................
Bath Aide ......................................................................
Non-certified care tech .................................................
Clinical Associate .........................................................
Respiratory Therapist ...................................................
Respiratory Therapy Assistant .....................................
Psychological Therapy Aide .........................................
Use
Use
Use
Use
Use
Use
Use
Use
Use
Use
Use
Use
Use
Use
Use
Use
Use
BLS median ..........................................................
median RN wage ..................................................
BLS median ..........................................................
median Licensed Practical Nurse wage ...............
median CNA wage ................................................
BLS median ..........................................................
median CNA wage ................................................
median CNA wage ................................................
75th percentile CNA wage ....................................
25th percentile CNA wage ....................................
25th percentile CNA wage ....................................
25th percentile CNA wage ....................................
25th percentile CNA wage ....................................
median CNA wage ................................................
BLS median ..........................................................
BLS median ..........................................................
BLS median ..........................................................
$27.54
27.54
17.57
17.57
10.67
10.67
10.67
10.67
12.80
9.09
9.09
9.09
9.09
10.67
22.80
18.81
11.49
2.58
2.58
1.65
1.65
1.00
1.00
1.00
1.00
1.20
0.85
0.85
0.85
0.85
1.00
2.14
1.76
1.08
31.83
19.88
10.61
29.07
20.22
12.03
27.74
27.46
11.32
11.32
2.98
1.86
0.99
2.72
1.90
1.13
2.60
2.57
1.06
1.06
Therapy Staff
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Physical Therapist ........................................................
Physical Therapy Assistant ..........................................
Physical Therapy Aide ..................................................
Occupational Therapist .................................................
Occupational Therapy Assistant ...................................
Occupational Therapy Aide ..........................................
Speech Language Pathologist .....................................
Audiologist ....................................................................
Therapy Aide ................................................................
Therapy Transport ........................................................
We note that staff types not included
in this table were not considered in
calculating nursing time in the STRIVE
study. Some staff types (for example,
nurse practitioner and dialysis
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Use
Use
Use
Use
Use
Use
Use
Use
Use
Use
BLS median ..........................................................
BLS median ..........................................................
BLS median ..........................................................
BLS median ..........................................................
BLS median ..........................................................
BLS median ..........................................................
BLS median ..........................................................
BLS median ..........................................................
the average of PT & OT aides .............................
the average of PT & OT aides .............................
technician) were excluded because there
was little or no time for this staff type
in the STRIVE study. Others were
excluded because their services are not
covered under Medicare Part A (for
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example, acupuncturist) or their
services are not included in the
Medicare Part A nursing rate component
(for example, dietitian).
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Finally, we used 2006 BLS/OES data
to construct the wage weights, and
although more recent data are available,
we believe that the 2006 data represent
the wages related to the staffing patterns
in use during a period of time when the
STRIVE data were collected. Although
the absolute wages change over time, we
have evaluated the differences in the
wage weights from 2006–2008 and find
that wage weights for most staff types
over this period are stable. In other
words, although the absolute wages
change, the relative wages between staff
types are not changing significantly.
Therefore, we are finalizing our decision
to use the 2006 BLS/OES data to
calculate the wage weights used to
construct the case-mix indexes.
Comment: Some commenters
suggested that the parity adjustment be
applied to both the nursing and therapy
indexes.
Response: We considered this as an
alternative to applying the parity
adjustment entirely to the nursing CMIs.
However, we believe it is most
appropriate to apply the parity
adjustment to the nursing CMIs. The
parity adjustment accounts for the
difference in payments between the
RUG–III and RUG–IV systems
accumulated across all RUGs. The
nursing CMIs are applied to each of the
66 RUGs in the RUG–IV payment
system and, therefore, we believe it is
most appropriate to apply that
adjustment to all RUGs. When applying
a portion of the parity adjustment to the
therapy CMIs, aggregate payment rates
for therapy RUGs do not uniformly
increase compared to aggregate payment
rates for therapy RUGs if calculated by
applying the entire parity adjustment to
the nursing CMIs. The nursing
component, even for most therapy
groups, is usually the largest contributor
to the aggregate payment rate.
Comment: One commenter noted RUB
and RUC, and RVA and RVB have the
same case-mix index for RUG–IV. For
RUG–III, ‘‘B’’ ADL pays more than ‘‘A,’’
and ‘‘C’’ pays more than ‘‘B.’’ The
commenter stated that this does not
account for the increased resources used
when providing care for a patient with
‘‘B’’ ADLs versus ‘‘C’’ ADLs, or ‘‘A’’
ADLs versus ‘‘B’’ ADLs.
Response: The RUG–IV CMIs are
based on the time resource data from the
STRIVE project. In the situations that
the commenter cites, the STRIVE data
indicated less nursing time for RUC
than RUB and the resulting CMI for RUC
would be less than that for RUB. A
situation where the time resource use
for groups within a category does not
increase with increasing ADL scores is
often referred to as an ‘‘ADL inversion.’’
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The STRIVE data produced a few of
these types of inversions, and they have
existed in previous time studies as well.
Previous time studies have adjusted for
most of these inversions before
calculating final CMIs. We believe it is
appropriate to adjust these inversions so
that the CMIs reflect higher resource use
for more dependent patients and
eliminate payment incentives that may
cause practice patterns to be altered.
Therefore, using the method described
in section III.C.1.a of this final rule, we
decided to ‘‘smooth’’ the inversion by
combining a pair of groups and
assigning the weighted average across
the 2 groups as the mean resource time
for each group. This is why the final
means, and therefore the CMIs, for RUB
and RUC are equal. We believe this is
preferable to allowing the
reimbursement for less dependent
patients to be higher than the
reimbursement for patients that are
more dependent. We note that the CMI
for RVB is slightly higher than the CMI
for RVA using the final database.
4. Relationship of RUG–IV Classification
System to Existing Skilled Nursing
Facility Level-of-Care Criteria
As discussed previously in section
III.B.5 of this final rule, the existing
level of care presumption currently
applies to the upper 35 groups of the
refined 53-group RUG–III model. In the
FY 2010 proposed rule (74 FR 22208,
22238, May 12, 2009), we proposed that
under the new 66-group RUG–IV model,
this presumption would apply to the
upper 52 groups, as encompassed by the
following categories: Rehabilitation Plus
Extensive Services; Ultra High
Rehabilitation; Very High
Rehabilitation; High Rehabilitation;
Medium Rehabilitation; Low
Rehabilitation; Extensive Services;
Special Care High; Special Care Low;
and, Clinically Complex. We received
no comments on this proposal, and in
this final rule, we are implementing this
provision as proposed.
5. Prospective Payment for SNF
Nontherapy Ancillary Costs
The FY 2010 proposed rule discussed
the issue of payment for nontherapy
ancillary costs under the SNF PPS (74
FR 22208, 22238–22241, May 12, 2009).
This discussion described the previous
research that has been conducted in this
area as well as current policy and
analysis, and also specifically examined
this issue as it relates to the temporary
AIDS add-on payment established by
section 511 of the MMA (see section I.E
of this final rule). The comments that
we received on this subject, and our
responses, appear below.
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Comment: A commenter stated that
payments for ventilator services are
inadequate to prevent ventilator patients
from experiencing access barriers in
SNFs. The commenter urged CMS to
consider MedPAC’s proposal to adjust
payments to account specifically for
nontherapy ancillary services, of which
non-nursing ventilator services are a
part. Several commenters also stated
that CMS should provide for a rate
adjustment specific to providers of
ventilator services to compensate them
for ventilator-related costs not covered
under the PPS as currently configured
or as proposed to be modified in the
proposed rule. Further, commenters
proposed that an outlier payment or
add-on similar to the AIDS add-on be
adopted for ventilator patients as an
interim measure.
Response: Ventilator patients are
addressed in our proposal for a
redefined Extensive Services group. Our
proposal does not make any changes in
the method of paying for NTA costs; all
such payments continue to be
proportional to the nursing costs paid in
the relevant case-mix group. Because
the nursing component weight for
Extensive Services will rise
substantially under our refinements,
payments for NTA costs associated with
these patients will also rise
substantially. However, we recognize
the need for further research to revise
the payment methodology for NTA
costs, as described in our approach to
the analysis in the proposed rule (74 FR
22238). We are reviewing MedPAC’s
NTA cost predictors as part of this work.
The suggestion of an outlier payment or
add-on payment cannot be implemented
under current law, as we have no
statutory authority to make such a
change.
Comment: A commenter stated that
the criteria we described for a system to
adjust payments for NTA services by
case mix appear reasonable, but went on
to emphasize that CMS has not been
able to identify appropriate case-mix
adjustments for NTA in multiple prior
efforts. The commenter further looks
forward to seeing whether the new
criteria produce a methodology that
explains more than 20 percent of the
variation in NTA needs of patients.
Response: We acknowledge that past
efforts have not been uniformly
successful and resulted in no
implementable proposals. We have not
targeted any specific level of ‘‘goodness
of fit’’ for a future methodology.
However, we note that the quality of the
data available to conduct this research
could significantly affect the
explanatory power of any model that we
may develop.
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Comment: Several commenters
recommended that we consider an
outlier payment for NTA services or
specifically, for intravenous
medications. One commenter cited
facilities that are losing money due to
the high cost of the IV medications.
Another commenter stated that under
our proposal, bariatric, wound care, and
certain chemotherapy patients, among
others, incur unaccounted-for
equipment and/or drug costs, resulting
in restricted access for these patients.
The commenter suggested that an
outlier payment structure would remedy
this situation.
Response: As we note elsewhere in
this final rule, we have no statutory
authority at this time to implement an
outlier policy for NTA services. We
welcome information about the
incidence of high-cost IV medication
days, bariatric patient days requiring
special equipment, and other incidence
information which could inform future
efforts to design an outlier policy, if it
is authorized.
Comment: A commenter stated that a
payment add-on for non-therapy
ancillary costs would be worth
exploring.
Response: As discussed above, we do
not have statutory authority to
implement an outlier or add-on
payment for NTA services. However, we
discussed the possibility of
implementing a case-mix adjustment for
NTA services in the proposed rule. We
believe that we currently have authority
to create a separate NTA component of
the Federal per diem rate, which would
be carved out of the existing nursing
component. Such a proposal would be
contingent on developing a workable
methodology for predicting NTA costs
per day. The discussion in the proposed
rule described the criteria that we
envision for such a system. At the
inception of the SNF PPS, average daily
NTA costs were included in the nursing
component. Any new, carved-out
component would, in effect, recover the
original costs from the nursing
component and adjust them separately
for case mix, using information that
better predicts NTA costs than does the
RUG methodology. However, this does
not mean that overall expenditures
under the SNF PPS would increase as a
result of the creation of this NTA
component and index.
Comment: A commenter criticized the
RUG–IV proposal for removing IV
patients from the Extensive Services
group on the basis that staff time caring
for such patients is not sufficiently
large, noting that the actual drug costs
for IV patients were not included in the
staff time data.
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Response: We recognize that the
RUG–IV proposal did not take drug
costs directly into account. The STRIVE
study showed that collecting accurate
and complete primary data on drug
costs was not feasible. We anticipate
that future work on paying for NTA
costs, of which IV drugs are a part, will
rely on administrative data resources.
Under RUG–III, nursing weights for IV
patients ranged from 1.17 to 1.72.
However, the changes we are
implementing to the case-mix
classification system reallocated to the
nursing component of the SNF PPS
payment savings derived from more
accurate accounting for therapy time. As
a result, nursing weights for IV therapy
patients range from .73 to 3.43,
depending on whether IV therapy cooccurs with other qualifying conditions,
such as infection isolation, septicemia,
etc.
Comment: A commenter stated that
ventilator-dependent patients should
have their own classification.
Response: The revised Extensive
Services group includes only three types
of patients: Tracheostomy, ventilator/
respirator, and infection isolation.
Analysis of the STRIVE time study data
suggested that these patients had
similarly high nursing costs. Thus, it is
likely that subdividing this group to
classify ventilator patients separately
would needlessly complicate the SNF
PPS.
Comment: A number of commenters,
while urging us to maintain the existing
AIDS add-on until an alternate payment
methodology can be developed, also
indicated that we should consider
creating a similar add-on payment
mechanism for anti-rejection drugs, low
molecular weight heparin, appetite
stimulating agents, and erythropoiesis
stimulating agents.
Response: We note that in contrast to
the AIDS add-on (which was
specifically created by section 511 of the
MMA), the law contains no similar addon payment authority for the other
services mentioned.
D. Minimum Data Set, Version 3.0 (MDS
3.0)
Sections 1819(f)(6)(A)–(B) and
1919(f)(6)(A)–(B) of the Act, as amended
by the Omnibus Budget Reconciliation
Act of 1987 (OBRA 1987), require the
Secretary to specify a Minimum Data
Set (MDS) of core elements and
common definitions for use by nursing
homes in conducting assessments of
their residents, and to designate one or
more instruments which are consistent
with these specifications. As stated in
regulations at § 483.20, Medicare- and
Medicaid-participating nursing homes
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must conduct initially and periodically
‘‘a comprehensive, accurate,
standardized, reproducible assessment’’
of each nursing home resident’s
functional capacity. The FY 2010
proposed rule included an examination
of various aspects of a new version of
the MDS, MDS 3.0 (74 FR 22208, 22241,
May 12, 2009), as discussed in the
following sections.
1. Description of the MDS 3.0
The FY 2010 proposed rule described
the major features of the MDS 3.0 (74 FR
22241). We determined that including
information on the MDS 3.0 would be
beneficial to stakeholders, as RUG–IV
and MDS 3.0 will be introduced at the
same time, as requested by virtually all
stakeholders last year. Even though we
included a discussion of the MDS 3.0 in
the SNF PPS proposed rule, the
instrument itself was not proposed.
However, we did receive many
comments on the MDS 3.0, which we
summarize below.
Comment: Some of the general
comments regarding the MDS 3.0
conveyed support, while others raised
concerns about burden and the amount
of testing that has been performed on
the instrument. There were many
comments that sought clarification or
offered suggestions for items included
in the draft MDS 3.0 item set posted at
https://www.cms.hhs.gov/
NursingHomeQualityInits/Downloads/
MDS30DraftItemSetv26.pdf.
Response: We chose to use the SNF
PPS rule to announce the upcoming
October 2010 scheduled
implementation of the MDS 3.0 and
appreciates the comments in support of
it. Concerning the comments about the
possibility of increased burden and the
need for additional testing of the
instrument before implementation,
findings from the pilot testing of MDS
3.0 in 2008 did not suggest that the MDS
3.0 was overly burdensome. We believe
that any more recent changes made to
the MDS 3.0 are minor and not
substantive and, thus, that additional
testing is not necessary.
Concerning the comments seeking
clarification of the draft MDS 3.0 item
set, CMS believes that these issues will
be addressed with the MDS 3.0 RAI
Manual and MDS 3.0 Final Item Set that
are scheduled to be published on the
CMS Web site, https://www.cms.hhs.gov,
in October 2010. The specific
recommendations for new or revised
items for the MDS 3.0 instrument have
been forwarded to the MDS 3.0
development team at CMS for review
and consideration. The MDS 3.0 RAI
Manual, Data Set, and Data
Specifications are scheduled to be
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published in October 2009 with
subsequent implementation of the MDS
3.0 in October 2010. This time frame
provides for an entire year for CMS, its
contractors, and SNFs to prepare and
train in anticipation of the October 1,
2010 implementation date.
Comment: Some comments discussed
the MDS 3.0 item set content and format
of the ‘‘paper’’ tool. Among the issues
raised were: Maintaining the MDS 2.0
section G, ADL items, and DAVE
discrepancy rates; the order of section A
being problematic for the paper version
when reviewing the assessment;
adopting the OASIS diagnosis format;
providing greater resident involvement
by implementing interview tools; the
need for pressure ulcer items to be more
clinically based; suggestions for adding
specific diagnoses to section I; and
concerns that section Q may affect State
agency staff resources. One commenter
suggested that CMS simply address the
specific problem areas with MDS 2.0,
such as pressure ulcers, and not change
any other aspects of it. Another
commenter requested that the RAI
manual be made available by August 1,
2009.
Response: We will take into
consideration the suggestions submitted
in response to the SNF PPS proposed
rule. We agree that the MDS 3.0
provides a greater resident involvement
in care and that the items being
surveyed are more clinically based than
the existing MDS 2.0. However, given
the current specifications of the MDS
2.0, we are unable to adopt the
commenter’s suggestion of simply
revising certain problematic items, due
to limitations in the data string.
We understand the concern of
maintaining the MDS 2.0 scoring system
for ADLs. We have revised the ADLSelf-performance response codes to
address a care planning concern raised
by stakeholders. While we agree that the
Data Assessment and Verification
(DAVE) findings on discrepancy rates
for the ADL items are high, the DAVE
contractor did not, as part of its
analysis, factor into account the degree
or severity of the discrepancy. For
example, in a situation where one
assessor coded a resident as
supervision, the DAVE project did not
consider whether the second assessor
coded the same person as limited
assistance, extensive assistance, or total
dependence, but simply determined
whether the codes were the same. We
are currently working with stakeholders
to ensure that the MDS 3.0 RAI manual
provides clear guidance.
While we want to ensure that a paper
version of the MDS 3.0 is user-friendly,
we encourage providers and users to
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move toward an electronic model. We
will take into consideration the
concerns provided to us on the record
layout.
Comment: One commenter stated that
CMS has ‘‘tinkered’’ with the
assessment tool, which creates
confusion and jeopardizes timely
rollout. Another asserted that MDS 3.0
does not meet the criteria CMS set out
to accomplish. One commenter
requested CMS to ‘‘batch’’ revisions to
the MDS 3.0 and implement in a
systematic fashion. Another suggested
that CMS provide a ‘‘journal’’ of all
changes in a central location that is
available to all users and assessors. One
commenter remarked that the data
gathered during the STRIVE project is
not valid for evaluating the effectiveness
of the proposed MDS 3.0 assessment.
Response: Our goals for updating the
assessment instrument used in nursing
homes were to introduce advances in
assessment measurement, increase
relevance of items, improve accuracy
and validity of the tool, and increase our
knowledge of residents’ experience of
care by introducing more resident
interview items. We believe we have
achieved these goals, as evidenced by
features such as the following:
• Addition of pressure ulcer items
where the clinician reports the actual
stage of the ulcer, not the appearance;
• Use of resident interview items for
mood and other areas;
• Use of valid and reliable assessment
tools, such as the Brief Interview for
Mental Status; and
• Improvement of pain assessment
items.
Therefore, we do not agree with the
assertion that we did not accomplish
what we had intended.
We have stated from the outset of
releasing version 3.0 of the MDS that it
was in draft form, and that providers
and users should not consider the draft
version final. We have built upon
RAND’s study to improve the
assessment further and ensure that it
meets, as much as possible, the needs of
multiple users, such as Medicaid State
Agencies for payment purposes and
return-to-the-community initiatives.
Lastly, the STRIVE project did not
‘‘evaluate’’ the effectiveness of the MDS
3.0. RAND’s responsibility was to
improve the clinical effectiveness of the
instrument. They were not required to
ensure that quality measures and
indicators or the RUG classification
systems were kept fully ‘‘intact.’’ RAND
was aware of the other purposes of the
MDS and did take this into
consideration during their study and
analysis. We did not approach the issue
with the belief that a single project
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would meet the needs of all users, and
have actually incorporated lessons
learned from other CMS projects, such
as the CARE tool. The STRIVE project
did not evaluate the effectiveness of the
MDS 3.0. In fact, the STRIVE study was
conducted at the same time the RAND
staff were testing the pilot MDS 3.0
instrument. The STRIVE contractor did
conduct analysis to ensure that payment
systems and quality measures were not
negatively affected based on data
collected under the MDS 3.0 project.
Currently, we post updates to the
MDS 2.0 on the CMS Web site so that
all users and assessors are able to access
the changes. Our expectation is that the
MDS 3.0 instrument and RAI manual
will not require updates for some time.
However, the format, that is, the item
numbering and layout, as well as the
specifications, will provide us with the
ability to update the tool in a simple
and quick method when the need arises.
Finally, we will take into consideration
the comment on ‘‘batching’’ updates,
and will work with stakeholders to
ensure that they have access to the
updates in a timely fashion.
Comment: A few recommendations
were received on the MDS 3.0’s
relationship to Health Information
Technology (HIT) standards. The
recommendations include:
• Increasing efforts in Federallymandated initiatives to adopt costeffective use of information technology
in healthcare settings;
• Consider present and future data
use and exchange requirements to
format and exchange MDS 3.0 data;
• Incorporate all standardized
terminology approved by Consolidated
Health Informatics (CHI), Office of the
National Coordinator for Health
Information Technology (ONC),
National Institute of Standards and
Technology (NIST), or American
National Standards Institute (ANSI) in
all HIT projects; and
• Consider incorporating all available
approved terminology and exchange
standards for use in all Health
Information Exchange or HIT projects.
Contained in the comments was the
suggestion that if CMS were unable to
carry out the approach outlined in the
bullets above for MDS 3.0, then CMS
should consider placing efforts on the
CARE tool.
Response: CMS appreciates the
comments that were submitted with
regard to HIT standards and will
consider these comments as the MDS
3.0 is implemented.
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2. MDS Elements, Common Definitions,
and Resident Assessment Protocols
(RAPs) Used under the MDS
The FY 2010 proposed rule included
a discussion of the MDS 3.0’s MDS
elements, common definitions, and
RAPs (74 FR 22243). The comments that
we received on this subject, and our
responses, appear below.
Comment: One commenter expressed
concern about our proposal to remove
language identifying MDS domains and
common definitions at §§ 483.315(e)(1)
through (18) and instead reference the
domain requirements at § 483.20(b)(1)(i)
through (xviii) and use the RAI manual
for specific details regarding the MDS
domains and common definitions.
Although the commenter acknowledged
the need for us to make timely MDS
changes, the commenter stated that
removing the MDS domains and
common definitions could affect
assessment reliability, consistency,
accuracy, validity, and reimbursement,
and could deny the public a meaningful
voice in challenging proposed changes
or offering official recommendations.
Response: Rapid changes in clinical
practice make it imperative for us to
have the flexibility to change or add to
the MDS domains and common
definitions quickly in order to protect
the health and safety of nursing home
patients.
For example, the CDC Advisory
Committee on Immunization Practices
(ACIP) has recommended vaccination
against the varicella zoster virus (VZV,
that is, chicken pox) for individuals
over age 60. VZV can reactivate
clinically decades after initial infection
to cause herpes zoster (that is, shingles),
a localized and generally painful
cutaneous eruption that occurs most
frequently among older adults and
affects approximately 1 million
individuals in the United States every
year. A common complication of zoster
is post-herpetic neuralgia (PHN), a
chronic pain condition that can last
months or even years. Complications
include involvement of the eye that can
threaten sight, bacterial super
infections, and disfiguring facial
scarring. Another example is the annual
CDC ACIP recommendations regarding
the provision of influenza vaccinations
in relation to the timing and duration of
the influenza season. Based on
recommendations such as these, we
need the flexibility to add or change
vaccinations promptly to the MDS
domains.
In a December 23, 1997 final rule (62
FR 67174), we removed the MDS and its
instructions from the regulation text that
was inserted in the December 28, 1992
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proposed rule (57 FR 61414). In that
final rule, we noted this was necessary
in order to allow us to easily modify the
MDS so that it requires collection of
information that is clinically relevant
and meets evaluative needs as clinical
practice evolves (62 FR 67174, 67203).
These notations still continue to reflect
our current view.
In the past, as we have proposed
changes to the MDS domains and
common definitions, we have given the
public ample opportunity to comment
through the use of CMS Open Door
Forums and Town Hall meetings;
dedicated mailboxes for comments;
CMS Web site postings; and meetings
with stakeholder organizations. We
believe that in directly discussing and
negotiating with affected parties, it will
be possible to maintain an MDS
assessment process that is clinically
relevant while also obtaining public
comment. We will continue to use these
venues to solicit public comments on
proposed changes, and we believe they
are sufficient to allow robust public
input and address the commenter’s
concerns. Therefore, we are not
accepting the comment. Accordingly,
this final rule removes the language
identifying MDS domains and common
definitions at §§ 483.315(e)(1) through
(18), and instead references the domain
requirements at § 483.20(b)(1)(i) through
(xviii). We will use the RAI Manual for
specific details regarding the MDS
domains and common definitions.
Comment: One commenter expressed
concern that the proposed rule did not
specify when an MDS is considered to
be complete, noting that this
information is currently available for the
MDS 2.0 in the RAI User’s Manual.
Response: Federal regulations at 42
CFR 483.20(i)(1) and (2) require the RN
assessment coordinator to sign and
certify that the assessment is complete.
This completion attestation is made
when the MDS assessment is considered
complete; the timing varies depending
on the assessment type. Federal
regulations at 42 CFR 483.20(b)(2) and
(c) specify the timeframes for
conducting the various assessment
types. As the commenter noted, this
specific information is currently
available for MDS 2.0 in the RAI User’s
Manual. As this information will
continue to be provided for MDS 3.0 in
the RAI User’s Manual and is already
covered in the regulations text, we
believe that this information is
adequately provided.
Comment: Although commenters
expressed various concerns, several
were supportive of the proposed
changes to the MDS 3.0 RAPs.
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Response: We were pleased with the
support expressed through the
comments. While it is true that the
structure of the proposed changes to the
MDS 3.0 RAPs process was not fully
specified in the proposed rule, CMS is
aware of most of the issues raised in the
comments, and has been actively
working on them. We have provided
responses to specific comments in the
following paragraphs.
Comment: We received a few
comments requesting us to clarify that,
while RAPs are no longer mandatory, it
is CMS’s intent that facilities must
continue to use care area triggers (CATs)
from the MDS and current, evidencebased clinical guidance or resources to
assist them in the care planning process.
Response: CMS values the opinions
and insights provided by our
stakeholders, and we plan to clarify that
this is, in fact, our intent. As the
planning for the RAI process
instructions moves forward, we fully
intend to clarify our instructions in this
area and will continue to involve our
stakeholders.
Comment: Several commenters
expressed concern about the level of
burden that might be imposed by no
longer mandating the use of the RAPs
and, therefore, leaving the
determination of what clinical
guidance/practice tools will be used in
the care planning decision process to
the discretion of the facilities. The
commenters indicated that such a
system would create inefficiencies and
inequalities in the care delivery system,
and also expressed concern about how
CATs and outside resources will be
utilized for guidance in the future.
Response: When the RAPs were
originally developed, facilities lacked
easy access to Internet resources, which
is no longer the case. A great many
clinical practice guidelines have been
developed by professional organizations
and government agencies, many of
which are available at no cost. The
RAPs were limited in the number of
topics they covered and, due to ongoing
changes in clinical practice, they would
need to be regularly updated by CMS,
necessitating changes to the
requirements. We believe this is no
longer necessary or efficient, as the
relevant information is now widely
available from a variety of authoritative
sources. At this phase in the planning
effort, CMS has developed a set of tools
(formerly known as RAPs) that will be
available for facility use via the MDS
manual; however, they will not be
mandatory. We are also publishing in
the manual a list of other resources that
practitioners can use, most of which are
available at no cost. The facility’s
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clinical team can use these resources or
any others that they deem appropriate.
We found the comments very helpful,
and expect that these resources will
minimize any burden as much as
possible.
Comment: We received a few
comments pointing out the need for
CMS to partner with its stakeholders
and nursing home industry experts to
design care planning practices,
including development of a Technical
Expert Panel. Commenters suggested
including clarification in the RAI
manual regarding the use of an
interdisciplinary team approach.
Response: We have reported on our
work and progress regarding the care
areas and care planning as part of the
RAI process in stakeholder meetings
and on Open Door Forum calls. As the
planning for the RAI process
instructions moves forward, we will
continue to involve our stakeholders.
Comment: Several commenters
pointed out the need for CMS to
reconsider the use of CATs in relation
to the care planning process.
Response: While it is true that the
structure of the proposed changes to the
MDS 3.0 RAPs process was not fully
specified in the proposed rule, we agree
that the proposed rule’s language
regarding the use of CATs did not
adequately convey the proposed
changes. We also acknowledge that
CATs represent only one part of a
dynamic process and may also cause
industry confusion. Accordingly, the
final rule includes the term ‘‘Care Area
Assessment’’ (CAA) to denote the
process that was formerly known as the
RAPs process. However, CMS will
continue to use the CATs terminology to
represent the triggers from the MDS for
a particular care area problem or issue.
Of course, we plan to continue to
involve our stakeholders as the planning
for the RAI process instructions moves
forward, and we will continue to work
to clarify the care planning process.
Comment: A few commenters
questioned how the State Survey
Agencies (SSAs) would handle their
nursing home surveys without the
direction of the RAPs.
Response: The specific issues that
were raised about the design of the
nursing home survey program are
beyond the scope of this final rule.
However, it is important to note that
CMS is fully aware of this issue and is
working to provide direction to the
SSAs about the full range of guidance or
resources they may encounter,
including instructions that are provided
to facilities through the RAI manual. We
appreciate the careful consideration that
this comment reflected, and will bring
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it to the attention of appropriate CMS
staff.
Comment: In addition to the
comments that we received on the
proposed change to the RAPs, several
commenters provided discussion of
specific issues involving prescriptive
care planning and the use of electronic
RAPs for nursing homes.
Response: The specific issues that
were raised about the design of care
planning and the use of electronic RAPs
for nursing homes are beyond the scope
of this final rule. However, we
appreciate the careful consideration that
these comments reflected, and will
bring them to the attention of
appropriate CMS staff.
3. Data Submission Requirements under
the MDS 3.0
The FY 2010 proposed rule included
a discussion of data submission
requirements under the MDS 3.0 (74 FR
22243). The comments that we received
on this subject, and our responses,
appear below.
Comment: One commenter voiced
concerns regarding whether the
proposal for SNFs to submit resident
assessment data to the national CMS
system rather than to the States will
require a change in electronic software
programs at the facility level to
accommodate reporting directly to the
Federal level. The commenter also
stated that, if this is the case, adequate
time should be provided for this
transition software.
Response: There is no software
program change required, as the MDS
data will be collected centrally at the
Federal level rather than from each
State. However, there will be a new
software program required to implement
the new MDS 3.0 data and file
specifications. CMS believes that
adequate time is being provided for this
development.
Comment: One commenter noted that
the proposed 14-day timeframe for
transmission of MDS data will shorten
the current time period by 2 weeks. The
commenter also observed that in some
States, this requirement (or even a
shorter time period) has already been
imposed at the State level for a number
of years. The commenter pointed out
that the State of Washington, where
submissions must be within 10 days of
completion for the MDS to be
considered timely, finds that this
requirement has improved the quality of
MDS submissions, with fewer
submissions ‘‘falling through the
cracks.’’ Another commenter remarked
that State agencies will be able to better
track those residents who would like to
return to the community. A few
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commenters opposed shortening the
submission requirement to 14 days,
stating that this would pose a hardship
on nurses who have ‘‘other
responsibilities,’’ may be difficult in
small nursing homes, and would
increase the pressure to complete
assessments.
Response: We appreciate the
comment informing CMS that some
States currently have stricter submission
requirements than the one we proposed.
We are pleased to learn that a
submission timeframe of 14 days or less
is working well in those States that
already have such a requirement in
place. We anticipate that there will be
an equally smooth transition for
facilities in the remaining States.
Further, swing-bed facilities have been
required to submit their MDS
assessments within 14 days of
completion since 2002. These facilities
tend to have fewer SNF patients than
most nursing homes and also tend to
have shorter lengths of stay. In fact,
swing-bed facilities do not appear to
have difficulty meeting this
requirement. Therefore, we do not agree
that shortening the submission time
frame to 14 days will be problematic or
cause hardship on facilities. In fact,
almost 75 percent of the MDS
assessments are submitted by nursing
homes within 14 days of completion.
We are concerned with the comment
that shortening the submission time
frame will create pressure to complete
assessments. We have outlined the
requirements for completing MDS
assessments in the RAI manual. The
submission time frame is based on the
completion date of the assessment.
Thus, the submission time frame does
not drive the completion of assessments;
rather, the reverse is true—the
completion of the assessment
determines the submission date. Lastly,
as noted by commenters’ remarks on
obtaining quality measures on swing
beds as discussed below in section III.H
of this final rule, we are simply holding
both types of providers to the same
standards.
Comment: Several commenters
expressed concern and confusion over
the requirement that facilities have 7
days after completing a resident’s
assessment to be capable of transmitting
that assessment data. They also
questioned what the term ‘‘capable’’
meant, and whether this requirement reinstituted the ‘‘locking’’ concept that
has been inactive for several years.
Response: The regulations at 42 CFR
483.20(f)(2) regarding facility capability
to transmit a resident’s assessment data
within 7 days of completing the
assessment is not new, nor did we
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propose it through this rule. What we
did propose was changing the language
to note that facilities must be capable of
transmitting to the CMS System instead
of to the State. It is not our intent to reinstitute the ‘‘locking’’ concept. The
term ‘‘capable’’ as used in the
regulations text here means that the
facility has encoded the MDS
assessment information and put that
data into a format that conforms to
standard record layouts and data
dictionaries defined by CMS and the
State.
Comment: One commenter expressed
confusion over the requirements
regarding State responsibilities with
respect to MDS 3.0 data. Specifically,
the commenter questioned State
responsibilities regarding supporting
and maintaining the MDS State system
and database, the receipt of facility data
from CMS, and the resolution of all
errors. The commenter noted that the
States are not in a position to ensure
that all errors are resolved, as some
(such as a late submission) cannot be
resolved.
Response: The provision at 42 CFR
483.315(h) regarding the requirements
for the State to maintain an MDS
database and ensure that a facility
resolves errors upon receipt of data is
not new, nor did we propose it through
this rule. What we did propose was
changing the language to note that
States must continue to maintain an
MDS database for receipt of facility data
from CMS. We also added the term
‘‘support’’ to the regulations at 42 CFR
483.315(h)(1) to note that each State is
still responsible for supporting all their
users and uses of the MDS 3.0 data. It
is our intent for the regulation text
regarding facility data at 42 CFR
483.315(h)(3) to denote that MDS 3.0
data are received by the States from the
CMS system. We agree with the
commenter that some facility data
errors, such as a late submission, may
not be able to be resolved completely.
Our intent through this language was
simply to retain the requirement for
States to work with their respective
facilities to resolve errors. However,
after further consideration of this issue,
we are retracting our proposal to
include the term ‘‘all’’ in the regulation
text at 42 CFR 483.315(h)(3). In
addition, as it has come to our attention
that the regulation text at 42 CFR
483.315(h) did not adequately convey
who in the State had the responsibilities
regarding the State MDS database, we
have added the term ‘‘agency,’’ in order
to indicate that these are responsibilities
of the State Survey Agency.
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4. Proposed Change to Section T of the
Resident Assessment Instrument (RAI)
under the MDS 3.0
In the context of the MDS 3.0
discussion, the FY 2010 proposed rule
proposed certain revisions to the
reporting of therapy services effective
October 1, 2010 (74 FR 22244). First, we
proposed to eliminate Section T of the
RAI. In addition, we proposed (a) to
revise the therapy reporting procedures
related to short-stay patients so that the
appropriate therapy level is calculated
using items that will be reported on the
MDS 3.0 (using the procedures set forth
in the proposed rule); (b) to provide
SNFs with the option to use the Other
Medicare Required Assessment (OMRA)
to signal the start of therapy; and (c) to
require SNFs to complete an OMRA
with an ARD that is set 1 to 3 days
(rather than 8 to 10 days) from the last
day therapy services were provided. A
more detailed description of the
proposals appears in the SNF PPS
proposed rule for FY 2010 (74 FR
22244). The comments that we received
on these proposed revisions, and our
responses, appear below.
Comment: Several commenters
supported the elimination of section T
(items T1b, c, d) of the MDS, thereby
preventing Medicare from paying for
therapy services that were ordered, but
not actually furnished to patients. They
stated that these changes will increase
the accuracy of payments to providers.
Other commenters were opposed to the
elimination of section T, indicating that
the proposed change reflected a
payment model more akin to fee-forservice than a prospective payment.
Some commenters stated that
eliminating section T would result in
providers not being paid for therapy
services that they actually provide
during the first 14 days of a SNF stay.
They also believed that there would be
financial pressure to provide less care
than the beneficiary needs.
Response: As we stated in the
proposed rule, the GAO found that onequarter of the patients classified using
estimated minutes of therapy did not
receive the amount of therapy they were
assessed as needing, while threequarters eventually did. Further, the
GAO found that in 2001, half of the
patients initially categorized in the
Medium and High Rehabilitation groups
did not actually receive the minimum
amount of therapy required to be
classified in those groups, due in part to
the use of estimated therapy minutes.
We agree that by eliminating section T,
there is a risk that the therapy data
would not be captured for some patient
days where the service was actually
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provided. However, we also proposed to
provide for an optional start-of-therapy
OMRA with an ARD that is set 5 to 7
days from the first day therapy services
are provided. Based on this OMRA,
payment for the start of therapy would
begin the day that therapy is started. We
proposed that a SNF may complete a
start-of-therapy OMRA when therapy
started between MDS observation
periods. However, in response to
comments stating that under our
proposed revised reporting procedures,
providers may not be paid for therapy
services that they actually provide
during the first 14 days, we are allowing
SNFs to complete the optional start-oftherapy OMRA not only when therapy
starts in between assessment windows,
but also when therapy has started
within the Medicare-required
assessment window. For the second
situation, the optional start-of-therapy
OMRA may be completed as a standalone assessment or it may be combined
with a scheduled Medicare-required
assessment. For example, the SNF must
complete a 5-day Medicare-required
assessment with an ARD between day 1
and day 8. If therapy begins on day 5
and if the provider chooses day 7 as the
5-day ARD, then only 3 days of therapy,
at most, would have been provided by
the ARD and, thus, a rehabilitation RUG
would not have been assigned (or
achieved). The provider may then
complete an optional start-of-therapy
OMRA with an ARD of day 9, 10, or 11.
If the provider chooses day 11, then the
start-of-therapy OMRA may be
combined with the 14-day Medicarerequired assessment (day 11 is in the
assessment window of the 14-day
Medicare-required assessment).
Payment for the rehabilitation RUG
would begin on the day that therapy
started, for example, day 5, and would
continue until day 30 as long as the SNF
level of care coverage requirements are
met, and/or therapy was not
discontinued, and/or another
assessment was not required that
resulted in a different RUG assignment.
If the provider chooses day 9 or day 10
as the ARD for the optional start-oftherapy OMRA, the Rehabilitation RUG
would also begin on the day therapy
started, but the provider would also be
required to complete a 14-day Medicarerequired assessment as long as the
patient continues to meet SNF level of
care requirements and remains in the
facility after day 14. Lastly, if the
provider chooses not to complete the
optional start-of-therapy OMRA, either
as a stand-alone or in combination with
a Medicare-required assessment, the
rehabilitation RUG would then begin
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with the payment period of the next
Medicare-required assessment. As the
provider may complete the optional
start-of-therapy OMRA in situations
where therapy has started within the
assessment window, but a rehabilitation
RUG was not assigned because the daily
requirement had not been met, we do
not believe that eliminating section T
will result in ‘‘financial pressures’’ to
provide less care than the resident
requires. Therefore, after review of the
comments, effective October 1, 2010, we
will delete section T (T1b, c, d) from the
MDS 3.0 as we proposed in the FY 2010
SNF PPS proposed rule. In addition, we
will implement the optional start-oftherapy OMRA, which may be
completed not only when therapy starts
in between assessment windows, but
also when therapy has started in a
Medicare-required assessment window.
As explained above, we believe that the
option to use the start-of-therapy
OMRA, regardless of when therapy
starts, eliminates the risk that therapy
data would not be captured for some
patient days.
Comment: Several commenters stated
that eliminating the projection could
result in a mismatch of the therapy plan
of care with the beneficiary’s needs or
a misallocation of the therapy resources
that the beneficiary requires, because
section T assists the therapist in making
clinical projections which, in turn,
results in better coordination of care.
Response: While we are eliminating
the projection of therapy services in
section T, we are also providing for a
start-of-therapy OMRA. We rely on the
clinician’s judgment to make decisions
on the need for and volume and
frequency of therapy services. The
documentation currently required in
section T under the MDS 2.0 simply
shows the results of the clinical
evaluation. We do not believe that a
projection methodology can serve to
provide clinical guidance to a therapist
and, thus, we do not expect that the
elimination of this particular
documentation requirement will
adversely affect patient care.
Comment: Several commenters
supported the voluntary start-of-therapy
OMRA so that patients can be assigned
to rehabilitation RUGs based on when
therapy services are started, especially
when therapy is started outside the
assessment reference window. Many
commenters also supported the change
to the end-of-therapy assessment. They
stated that these proposed changes will
increase the accuracy of payments to
providers. However, some commenters
disagreed with introducing either the
optional start-of-therapy OMRA or the
end-of-therapy OMRA, stating that
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increasing the number of assessments
providers will need to complete would
represent an added burden. A few
suggested that CMS should develop a
methodology to compensate facilities for
the added burden of work associated
with the OMRAs. One commenter
disagreed with changing the end-oftherapy OMRA ARD from 8–10 days
after the discontinuation of therapy to
the proposed 1 to 3 days, as a therapy
RUG might still be assigned. One
commenter suggested that requiring
SNFs to complete an OMRA within 1 to
3 days following therapy discharge
could affect the nurse’s assessment of
the need for skilled nursing services.
These commenters also asserted that the
proposed change would deny patients
valuable time in recovery while being
closely observed by nursing for 7 days
following the discharge from therapy,
and could potentially cause an
inappropriate over-utilization of the
OMRA by triggering additional
assessments (which might not have been
necessary if the patient had been
maintained in a therapy group). Some
commenters stated that when therapy is
not provided for a few days due to an
illness, an end-of-therapy OMRA would
be required and then a start-of-therapy
OMRA once the patient is again able to
participate in therapy. They believe this
would increase the number of
assessments required and, thus, would
represent an added burden.
Response: We agree with the
commenters that the changes to provide
for a voluntary start-of-therapy OMRA
and a required end-of-therapy OMRA
will result in more accurate payments to
providers. Under current practice, the
assessment reference date (ARD) for the
OMRA is required to be set within 8 to
10 days of the end of all therapies. The
proposed change that we are adopting in
this final rule would simply require the
ARD for the end-of-therapy OMRA to be
set in a shorter time frame, that is, no
more than 3 days following the
cessation of all therapies, and would not
increase the number of assessments.
Further, the start-of-therapy OMRA is
completely voluntary and is not
required and, thus, we do not believe it
is an additional burden. In addition,
because the provider would be able to
combine the start-of-therapy OMRA
with a Medicare-required assessment,
there would be no additional burden.
However, we are aware that completing
the stand-alone voluntary start-oftherapy OMRA might result in an
increase of assessments. Therefore, in
response to concerns expressed by
commenters regarding the increase in
the number of assessments, we will
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provide for an abbreviated OMRA for
the stand-alone start-of-therapy OMRA,
which will include only the required
demographic information (needed for all
assessment types), the therapy items,
restorative therapy items and bladder
and bowel training items, and the
extensive services items. The other
clinical payment items would not be
required, as the purpose of the optional
start-of-therapy OMRA is to classify a
person in a rehabilitation RUG
(including Rehabilitation plus Extensive
Services). In addition, we note that
commenters expressed concern
regarding the possibility that our revised
ARD requirement for the end-of-therapy
OMRA may increase the number of
assessments needed. Although we do
not agree that changing the ARD
requirement for the end-of-therapy
OMRA would increase the number of
assessments required, in order to
alleviate the commenter’s concerns and
because the MDS 3.0 gives us the
capability, we will also shorten the endof-therapy OMRA so that it consists
only of the required demographic items
and all of the payment items (unlike the
MPAF, which includes all of the
required demographic items, the
payment items, and many other clinical
items). However, as discussed above, we
do not agree that CMS is requiring
additional assessments. We note that the
start-of-therapy OMRA is optional, thus
making it entirely voluntary and not
required. CMS has no authority to
provide for additional reimbursement
for this assessment itself; however, the
voluntary start-of-therapy OMRA would
typically be completed when
assignment to the new therapy group
would result in higher reimbursement.
The end-of-therapy OMRA is already
required and, therefore, the cost of
completing the end-of-therapy OMRA is
already included in the payment rates
for SNFs.
In reality, we have actually reduced
the burden associated with the end-oftherapy OMRA, by including only the
required demographic items and
payment items. As we stated in the
proposed rule, we have included the
ability to provide two Medicare RUG
classifications. The first will be the
‘‘therapy’’ RUG, which is based on all of
the payment items, including the
rehabilitation items. The second RUG is
the ‘‘non-therapy’’ RUG. This RUG
classification will not consider any of
the rehabilitation items when assigning
a RUG. Therefore, when submitting a
claim for days of service after therapy
has been discontinued, the provider
would use the ‘‘non-therapy’’ RUG. We
will provide detailed MDS coding and
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billing instructions in the Internet-only
Manuals and the RAI Manual.
We do not agree that requiring SNFs
to complete an OMRA within 1 to 3
days following the discontinuation of
therapy would result in patients being
denied valuable recovery time by no
longer paying for therapy services for 7
days after all therapy is discontinued. It
is the responsibility of the professional
therapist to determine when a patient
has met the goals established for the
patient in the therapy plan of care, and
to avoid discontinuing therapy
prematurely. If this determination is
appropriately made by the therapist, we
do not believe requiring an OMRA to be
completed within 1 to 3 days after the
discontinuation of therapy should cause
inappropriate utilization of the OMRA
triggering additional assessments. Also,
we do not believe that changing the
ARD for the end-of-therapy OMRA will
affect the assessment of the need for
continued skilled nursing services, as
the nursing needs of a resident should
not be affected by whether therapy is
being provided. The SNF should be
providing for all of the resident’s needs
during the entire SNF stay, regardless of
when the ARD for the end-of-therapy
OMRA is required to be set. In addition,
if the patient continues to receive
skilled nursing after the therapy has
been discontinued, the patient will
continue to be covered under the
Medicare Part A benefit until such time
as a skilled level of care is no longer
required. For these reasons, we do not
agree that additional assessments would
be needed, or that additional days paid
at the therapy RUG would affect the
recovery of the patient or the assessment
of the need for continued skilled
nursing services.
We do not agree with the commenters
that a brief illness would increase the
number of required assessments. As
stated in the ‘‘daily basis’’ criteria at 42
CFR 409.34(b), ‘‘a break of one to two
days in the furnishing of rehabilitation
services will not preclude coverage if
discharge would not be practical for the
one or two days during which, for
instance, the physician has suspended
the therapy sessions because the patient
exhibited extreme fatigue.’’ Therefore,
according to these regulations, a brief
illness would not necessarily result in
the provider having to complete an endof-therapy OMRA. Based on the
concerns expressed by these
commenters, we would like to take this
opportunity to help ensure that the endof-therapy OMRA is completed timely
and appropriately. We proposed that the
end-of-therapy OMRA be completed
with an ARD of 1 to 3 days after the
discontinuation of all therapies (speech-
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language pathology services and
occupational and physical therapies).
For purposes of the ARD for an end-oftherapy OMRA, the provider shall
consider day 1 the day after all therapies
are discontinued. When a facility
provides rehabilitation therapies five
days a week (Monday through Friday),
we would like to clarify that day 1
would correspond to the first day,
following the cessation of therapy
services, on which therapy services
would normally be provided. For
example, if all therapies are
discontinued on October 15, 2010
(which is a Friday), the next day that
therapy would normally be provided
would be Monday, October 18, and this
day would become day 1 after therapies
were discontinued. The provider would
have the ability to choose the ARD to be
set on October 18 (day 1), October 19
(day 2), or October 20 (day 3). As set
forth in 42 CFR 409.34(a)(2), when
therapy services are not available 7 days
a week, therapy services must be needed
and provided at least 5 days a week.
When a facility only provides therapy 5
days a week, the therapy department
would not be open on the weekend.
Therefore, the weekend days would not
be counted toward the establishment of
the ARD for the end-of-therapy OMRA.
Again, as discussed above, we believe
the ability to choose the ARD up to 3
days after the discontinuation of all
therapies will not lead to overutilization of OMRAs.
Comment: Commenters had various
understandings of what constitutes a
short stay. In their comments regarding
our revisions to section T and the
therapy reporting procedures (that is,
therapy reporting procedures for shortstay patients, implementation of a startof-therapy OMRA, and revised ARD for
the end-of-therapy OMRA), a few
commenters provided examples of a
short-stay resident with different
lengths of stay. Their remarks varied
from the first ‘‘few’’ days to the first 5
days of the SNF stay. Comments
regarding the STRIVE project on a short
stay often cited 7 days as being a short
stay (that is, a discharge before day 8).
Response: We realize that our
discussion in the FY 2010 SNF PPS
proposed rule of the revised reporting of
therapy services for short-stay patients
(74 FR 22245) may have caused
confusion. When the SNF PPS was
introduced in July 1998, we expanded
the collection of MDS data to include
new assessments that were primarily
used to determine payment. These
Medicare-required assessments were
defined in our May 1998 SNF rule (63
FR 26252, 26265–69), and processing
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instructions are included in the MDS
manual.
For SNF PPS purposes, SNFs are
required to complete the Medicarerequired 5-day assessment in order to
initiate Medicare payment for the stay.
The facility captures clinical data with
an ARD from days 1 through 8 of the
covered stay on this Medicare-required
5-day assessment, which is then used to
assign the patient to a RUG group.
Generally, the RUG group assigned
using the Medicare 5-day assessment is
used to pay for up to 14 days of the
covered stay.
Since the inception of the SNF PPS,
CMS has allowed providers to record
therapy services based on a projection
via section T of the MDS. This
projection can only be made when two
criteria are met. First, the need for
therapy must have been established
through a therapy evaluation and a
physician’s order. Second, therapy
could not be initiated early enough in
the beneficiary’s stay to capture (on the
Medicare-required 5-day assessment)
the 5 days of therapy required to assign
a therapy case-mix group. The projected
therapy days and minutes are used in
the calculation of the assigned RUG,
thus allowing an SNF to receive
payment for therapy services that it
plans to provide to a beneficiary in the
beginning of the stay. Even when
patients are discharged before the
Medicare 5-day assessment can be fully
completed (that is, prior to day 8, the
last allowed date that can be used to
report the MDS clinical data), providers
are still expected to complete section T
as accurately as possible and submit at
least a partial Medicare-required 5-day
assessment. Because the Medicarerequired 5 day assessment may be
performed until day 8 of the resident’s
stay, we believe that it is appropriate to
define a short-stay patient as one who
is discharged on day 8 or earlier.
Based on the comments that we
received, it appears that our proposal
regarding the revised therapy reporting
procedures for short-stay patients (74 FR
22245) may have caused some
confusion among commenters, as we
inadvertently described a short-stay
patient as a patient who is discharged
prior to day 14. Therefore, we are
clarifying in this final rule that shortstay patients are patients who are
discharged on day 8 or earlier, and that
the revised reporting procedures for
short-stay patients apply to those
patients who are discharged on day 8 or
earlier. The RUG–IV group established
under this revised reporting procedure
can then be used to reimburse SNFs at
the therapy rate from day 1 to the date
of short-stay discharge.
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Comment: A few commenters stated
that our proposed methodology for
determining the assigned rehabilitation
RUG for short-stay patients did not
account for therapy services that are
provided at a higher level than Medium,
even though the SNF may have
provided greater amounts of therapy,
such as one of the High rehabilitation
groups. They expressed concern that by
only allowing for Rehabilitation Low
and Medium categories, SNFs would
not be adequately reimbursed for
providing a more intense level of
therapy and, thus, some patients may
not receive the appropriate and
adequate amount of therapy in the
beginning of the SNF stay.
Response: We agree that for residents
who are discharged early in the posthospital stay (day 8 or earlier) and have
not been able to complete 5 days of
therapy, and when the SNF has
provided therapy at the intensity of
Rehabilitation High or greater, the
resident should be able to be assigned
to a rehabilitation RUG greater than
Medium. We also agree that the SNF
should be adequately reimbursed for the
therapy services they provided. Thus,
when calculating the rehabilitation RUG
for a resident who is discharged early in
the post-hospital stay (day 8 or earlier)
and when the patient has not been able
to report delivery of 5 days of therapy
on the 5-day MDS 3.0, a therapy RUG
will be calculated by using items from
the MDS 3.0. As proposed, these items
will include: the actual number of
therapy minutes provided, the date of
admission, the date therapy started, the
patient’s ADL level, and the ARD. In
addition, as stated in the proposed rule,
if the average daily therapy minutes
provided are between 15–29 minutes,
the record will be assigned to the
Rehabilitation Low category (RLx). In
addition, in response to comments
received, the assignment for other
rehabilitation categories will be based
on the average daily minutes of therapy
provided, as follows:
• Average daily therapy minutes are
between 30–64 minutes, a
Rehabilitation Medium category (RMx).
• Average daily therapy minutes are
between 65–99 minutes, a
Rehabilitation High category (RHx).
• Average daily therapy minutes are
between 100–143 minutes, a
Rehabilitation Very High category
(RVx).
• Average daily therapy minutes are
144 or greater, a Rehabilitation Ultra
High category (RUx).
We determined the minutes above for
each rehabilitation RUG category by
taking the minimum required minutes
for each category and dividing by 5,
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which represents the minimum weekly
required number of days of therapy
according to the SNF level of care
criteria’s daily basis requirement (42
CFR 409.34). Accordingly, we are taking
this opportunity to update the example
that we provided in the FY 2010
proposed rule regarding the therapy
reporting procedure for short-stay
patients. Physical therapy is started on
day 4 and the resident is discharged on
day 7; the resident received 65 minutes
of individual therapy on day 4, 70
minutes of individual therapy on day 5,
73 minutes of individual therapy on day
6, and 67 minutes of individual therapy
on day 7. The ARD on the assessment
is day 7. The total physical therapy
minutes provided are 275. The average
number of daily therapy minutes is
68.75. The rehabilitation RUG assigned
will be RHx (the average daily therapy
minutes are between 65–99).
We are reiterating that this policy
only applies to the short-stay resident
whose stay is 8 days or less and who
received less than 5 days of therapy.
Also, as stated in the proposed rule, the
ADL index will be based on the ADL
level reported on the MDS. Together,
the ADL index and the average daily
therapy minutes determine the RUG–IV
group that will be assigned. We will
provide detailed instructions in the
online Medicare manuals and the MDS
3.0 RAI Manual.
Comment: A few commenters
requested that we clarify how the ARD
should be set for the start-of-therapy
OMRA. They believe CMS intended to
say that the ARD would be set 4–6 days
after the start of therapy, rather than 5–
7.
Response: We understand the
confusion that may have arisen from the
use of the phrase ‘‘5–7 days after
therapy starts.’’ We will, therefore, take
the opportunity to provide an example
to clarify the policy. As we stated above,
if therapy starts on day 5 of the stay, the
provider may set the ARD for the
optional start-of-therapy OMRA on day
9, 10, or 11. The day that therapy starts
is counted as day 1. The purpose of
stating 5–7 days and counting the
therapy start date as day 1 was to
coincide with the look-back period
when completing the MDS. The lookback for the therapy items for days and
minutes on the MDS is 7 days. The
concept is for the provider to capture
the first day of therapy when
completing the MDS. Therefore, 5 days
from the start of therapy is day 9 (day
5=1, day 6=2, day 7=3, day 8=4, day
9=5). If, on the other hand, the SNF
chooses day 7 after the start of therapy
in the previous example (which would
be day 11 of the stay), the day that
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therapy started (day 5) would still be
captured in the look-back period. We
will work with industry stakeholders to
ensure that our instructions in Medicare
manuals and the RAI Manual are clear.
Comment: Several comments stated
that changes in discontinuing therapy at
a skilled level may create technical
issues with regard to a resident
receiving Part B therapy during a Part A
stay.
Response: This comment would
appear to reflect a misunderstanding of
the SNF benefit structure, as a resident
cannot receive Part B therapy during a
Part A stay. Under the SNF PPS, the Part
A payment represents payment in full
for all costs (routine, ancillary, and
capital-related) incurred by the facility
to provide care to the resident,
including those services that were
previously covered under Part B.
Comment: Several commenters stated
that reporting the dates that physical
and/or occupational therapy and/or
speech-language pathology services start
and end on the claim when billing a
rehabilitation RUG will be burdensome.
Response: We are in the process of
evaluating our data needs to support
both RUG–IV and a possible separate
NTA payment mechanism. Changes to
billing requirements will be introduced
through updated instructions in the
claims processing manuals, and will be
addressed in our FY 2011 SNF PPS
proposed rule as appropriate.
Therefore, effective October 1, 2010,
we will eliminate section T of the MDS
and revise the therapy reporting
procedures as proposed in the FY 2010
proposed rule (74 FR 22244–46) (that is,
reporting procedures for short-stay
patients, implementation of an optional
start-of-therapy OMRA, and revised
ARD for the end-of-therapy OMRA),
with the modifications and
clarifications discussed above.
E. Other Issues
1. Invitation of Comments on Possible
Quarterly Reporting of Nursing Home
Staffing Data
Although we did not propose specific
regulatory language in this area under
the FY 2010 proposed rule, we did
request public comment on a possible
requirement for nursing homes to report
nursing staffing data to CMS on a
quarterly basis.
Comment: Although commenters
expressed various concerns, most were
supportive of the proposed quarterly
payroll-based collection of staffing data.
Response: We were pleased with the
level of support expressed through the
comments. While it is true that the
design of the proposed electronic
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payroll-based nursing home staffing
data collection system was not fully
specified in the proposed rule, CMS is
aware of most of the issues raised in the
comments, and has been actively
working on them. We provide responses
to specific comments in the following
paragraphs.
Comment: We received several
comments pointing out the need for
CMS to partner with its stakeholders
during the design of any new staffing
data collection.
Response: CMS values the opinions
and insights provided by our
stakeholders. We have reported on our
funded staffing studies and other efforts
to improve the accuracy of nursing
home staffing data in stakeholder
meetings and conference calls, and on
Open Door Forum calls. As the planning
for a payroll-based data collection
system moves forward, we certainly
plan to continue to involve our
stakeholders.
Comment: Several commenters
expressed concern about the level of
administrative burden that might be
imposed by a quarterly payroll-based
reporting system for staffing data. One
commenter believed that such a system
would create inefficiencies in the care
delivery system.
Response: CMS shares the
commenters’ concern about the need to
avoid unnecessary administrative
burden, and for this reason, we
specifically requested comments in the
proposed rule on the level of burden to
nursing homes imposed by a quarterly
payroll-based reporting system for
staffing data. We would hope to
minimize any burden to the extent
possible, and we found the comments
very helpful.
Comment: A few commenters raised
the issue of the financial cost to
individual nursing homes of a
computerized staffing collection system:
For the cost of software and updates,
initial costs for the introduction of a
computerized payroll system, or added
costs with payroll vendors.
Response: The financial cost to
nursing homes of providing quarterly
payroll-based staffing data electronically
is also an area of concern to CMS. As
with the administrative burden, we
would also hope to design and
implement the system in such a way as
to minimize any burden to the extent
possible. The comments provided were
very helpful to our planning.
Comment: A few commenters
expressed concern about issues of
privacy involved with the use of payroll
data.
Response: This data collection effort
is currently in a planning phase, but we
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want to be clear that it is not our
intention to collect names, social
security numbers, or wage data for staff
members. CMS is interested in each staff
member’s time spent caring for
residents, and in the start and end date
of service in the facility. We envision
each staff member’s data being
identified with a facility-level
identification number and, within the
facility data, an individual staff member
identification number.
Comment: One commenter pointed
out the need under any new system for
careful and consistent directions for
coding of staff categories and for
consistent directions on how to handle
non-productive versus productive time.
Response: We agree that clear,
consistent directions for specifying staff
categories and for handling nonproductive time are vital to ensuring
accuracy of any data collected.
Comment: Several commenters
pointed out the importance of including
data in the proposed system that would
allow the calculation of staff turnover
and retention.
Response: We agree that data to
address turnover and retention are
important to include in a staffing data
collection system. Staff turnover and
staff retention measures were developed
as part of the CMS-funded
‘‘Development of Staffing Quality
Measures’’ Project (2003–2008). Both
measures were found to be related to the
quality of care in the nursing home.
Comment: Several commenters
pointed out the need to carefully
address collection of contract and
agency staff data. Specifically, one
commenter was concerned with the
burden of potentially having to handsort invoices as a basis for data
reporting.
Response: An assessment of the best
way to collect staffing data for contract
and agency staff is currently being
conducted under a CMS-funded study.
While we currently believe that an
auditable source of data such as
invoices would be preferable, we are
awaiting the results of our study. We
appreciate the comment, and are
conscious of the level of effort entailed
in a system requiring hand-sorting.
Comment: A few commenters
discussed the need for a data collection
system to allow a ‘‘complete staffing
picture’’ by including therapists,
physician extenders, and other staff
providing resident care.
Response: This data collection effort
is currently in a planning phase. At this
point it is not entirely clear which staff
categories will be included in the data
collection. Being able to see a ‘‘complete
staffing picture’’ for a facility would
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certainly be helpful, and we will take
the comment into account.
Comment: A commenter pointed out
the need for any new system to be
sensitive to the staffing patterns of
culture change facilities and to allow
the staff to be fairly represented.
Response: We are aware of concerns
that the currently used staffing form
(CMS–671) does not well accommodate
the broad range of newer nursing home
care staff roles. The staffing patterns of
culture change facilities are good
examples of this issue. We will be
sensitive to this concern in developing
the definitions for the payroll-based
data collection system.
Comment: We received a few
comments urging that any staffing data
collected be standardized for acuity (or
case-mix) of residents and for the
facility census.
Response: Facility-level staffing data
that are currently posted on the CMS
Nursing Home Compare Web site are
expressed as hours of care per resident
per day, so they are, in effect,
standardized for the census of the
facility. Although the staffing data used
in the Five Star Quality Rating System
calculations are case-mix adjusted using
Resource Utilization Group categories,
the case-mix adjusted measures
themselves are not reported. We will
give consideration to the comment as
we plan for implementing the payrollbased system.
Comment: Several commenters
suggested that any quarterly collection
of staffing data could be most easily
accomplished through the use of the
MDS reporting systems.
Response: At this phase in the
planning efforts, we are considering the
use of the MDS reporting system, as
well as several other options.
Comment: A commenter suggested
basing any new system on the publicly
posted staffing information in each
facility that is currently required by
CMS. The data include nursing home
census and staffing resources by shift.
Response: We have been funding
work concerned with ensuring the
accuracy of nursing home staffing data
since 1998, with the beginning of the
Phase I Staffing Study (designed to
investigate the appropriateness of
minimum staffing ratios in nursing
homes). The results of both the Phase I
and the Phase II Staffing Studies
suggested that using payroll data as a
basis for staffing produced more
accurate data than other sources, such
as cost reports or the current Online
Survey Certification and Reporting
System (OSCAR), which houses the data
collected at the time of survey. A later
CMS-funded Study (Development of
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Staffing Quality Measures (SQM)—
2003–2008), following the advice of a
panel of technical experts, provided a
further assessment of the use of payroll
data for staffing. This study assembled
a database of payroll data from 1453
nursing homes and, using those data,
developed a number of measures of
direct care staffing, including turnover
and retention. A comparison of these
data with OSCAR data showed clear
differences.
While we have not assessed the
relative accuracy of the staffing data
posted publicly in each facility
compared to payroll data, the research
base supports the use of payroll data as
a more accurate source for staffing data.
Comment: Several commenters
suggested uses of the data that involved
collection of wage data in addition to
staffing time data.
Response: The payroll-based staffing
data collection, as it is currently
proposed, does not include collection of
wage data.
Comment: In addition to the
comments that we received on the
proposed quarterly staffing data
collection, several commenters provided
discussion of specific issues involving
the CMS Five Star Quality Rating
System for Nursing Homes.
Response: The specific issues that
were raised about the design of the Five
Star Quality Rating System for Nursing
Homes and the calculations involved in
the rating system are beyond the scope
of this final rule. However, we
appreciate the careful consideration that
these comments reflected, and we will
direct them to the attention of
appropriate staff in CMS.
2. Miscellaneous Technical Corrections
and Clarifications
In the FY 2010 proposed rule, we
proposed to correct the paragraph
heading in the regulations text at
§ 483.75(j), by removing the phrase
‘‘Level B requirement:’’ and italicizing
the remaining text in the heading
(‘‘Laboratory services’’). We received no
comments on this proposal, and in this
final rule, we are revising this portion
of the regulations text as proposed.
F. The Skilled Nursing Facility Market
Basket Index
Section 1888(e)(5)(A) of the Act
requires us to establish a SNF market
basket index (input price index), that
reflects changes over time in the prices
of an appropriate mix of goods and
services included in the SNF PPS. In the
FY 2010 proposed rule, we stated that
the proposed rule incorporated the
latest available projections of the SNF
market basket index. In this final rule,
we are updating projections based on
the latest available projections at the
time of publication. Accordingly, we
have developed a SNF market basket
index that encompasses the most
commonly used cost categories for SNF
routine services, ancillary services, and
capital-related expenses.
Comment: One commenter stated that
the SNF market basket factor is
defective and continues to understate
compensation, pharmacy, and operating
costs, and that current market basket
weights do not reflect changing staffing,
higher pharmacy costs, and rising
liability insurance.
Response: The 2004-based SNF
market basket is a fixed-weight index
that is intended to measure the price
increases associated with the same mix
of goods and services over time. The
market basket is not intended to
measure actual costs and, therefore, we
do not accept the commenter’s argument
that the SNF market basket factor is
defective and continues to understate
compensation, pharmacy, and operating
costs. The current FY 2010 market
basket update factor of 2.2 percent is
based on the IHS Global Insight (IGI)
second quarter 2009 forecast, and
reflects the projected price changes for
all cost categories in the market basket
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(including those associated with
compensation, pharmacy, and other
operating costs). IGI is a nationally
recognized economic and financial
forecasting firm that contracts with CMS
to forecast the components of the market
baskets.
We also do not agree with the
commenter’s claim that the market
basket does not reflect changing staffing
costs, higher pharmacy costs, and rising
liability insurance. For the FY 2008
final rule (72 FR 43424–43429), we
adopted a revised and rebased 2004based SNF market basket that reflected
the 2004 cost structures of Medicareparticipating SNFs. The previous SNF
market basket was based on the 1997
cost structures for Medicareparticipating SNFs. The major cost
weights of the 2004-based SNF market
basket, which are inclusive of
compensation, pharmacy, and
professional liability insurance, were
derived mainly from 2004 Medicare cost
reports. During the rebasing process, we
revised our methodology for calculating
the pharmacy cost weight to incorporate
an estimate of Medicaid drug expenses
(72 FR 43426) incurred by SNFs. The
inclusion of these costs resulted in a
pharmacy cost weight for the 2004based SNF market basket that was twice
as large as that of the 1997-based market
basket pharmacy cost weight. We also
explicitly designated a professional
liability insurance cost category (which
was not a separate cost category in the
1997-based SNF market basket due to
lack of sufficient data). As a result, we
believe the current SNF market basket
cost weights reflect the cost structures of
Medicare-participating SNFs.
Each year, we calculate a revised
labor-related share based on the relative
importance of labor-related cost
categories in the input price index.
Table 16 summarizes the updated laborrelated share for FY 2010.
TABLE 16—LABOR-RELATED RELATIVE IMPORTANCE, FY 2009 AND FY 2010
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Relative importance,
labor-related,
FY 2009
08:2 forecast*
Relative importance,
labor-related,
FY 2010
09:2 forecast
Wages and salaries .............................................................................................
Employee benefits ...............................................................................................
Nonmedical professional fees .............................................................................
Labor-intensive services ......................................................................................
Capital-related (.391) ...........................................................................................
51.003
11.547
1.331
3.434
2.468
51.078
11.533
1.323
3.446
2.460
Total ..............................................................................................................
69.783
69.840
*Published
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in the Federal Register (73 FR 46434); based on the second quarter 2009 IHS Global Insight Inc. revised forecast.
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1. Use of the Skilled Nursing Facility
Market Basket Percentage
Section 1888(e)(5)(B) of the Act
defines the SNF market basket
percentage as the percentage change in
the SNF market basket index from the
average of the previous FY to the
average of the current FY. For the
Federal rates established in this final
rule, we use the percentage increase in
the SNF market basket index to compute
the update factor for FY 2010. This is
based on the IHS Global Insight, Inc.
(formerly DRI–WEFA) second quarter
2009 forecast (with historical data
through the first quarter 2009) of the FY
2010 percentage increase in the FY
2004-based SNF market basket index for
routine, ancillary, and capital-related
expenses, to compute the update factor
in this final rule. Finally, as discussed
in section I.A. of this final rule, we no
longer compute update factors to adjust
a facility-specific portion of the SNF
PPS rates, because the initial threephase transition period from facilityspecific to full Federal rates that started
with cost reporting periods beginning in
July 1998 has expired.
2. Market Basket Forecast Error
Adjustment
As discussed in the FY 2004
supplemental proposed rule (68 FR
34768, June 10, 2003) and finalized in
the FY 2004 final rule (68 FR 46067,
August 4, 2003), the regulations at
§ 413.337(d)(2) provide for an
adjustment to account for market basket
forecast error. The initial adjustment
applied to the update of the FY 2003
rate for FY 2004, and took into account
the cumulative forecast error for the
period from FY 2000 through FY 2002.
Subsequent adjustments in succeeding
FYs take into account the forecast error
from the most recently available FY for
which there is final data, and apply
whenever the difference between the
forecasted and actual change in the
market basket exceeds a specified
threshold. We originally used a 0.25
percentage point threshold for this
purpose; however, for the reasons
specified in the FY 2008 SNF PPS final
rule (72 FR 43425, August 3, 2007), we
adopted a 0.5 percentage point
threshold effective with FY 2008. As
discussed previously in section I.F.2. of
this final rule, because the difference
between the estimated and actual
amounts of increase in the market
basket index for FY 2008 (the most
recently available FY for which there is
final data) does not exceed the 0.5
percentage point threshold, the payment
rates for FY 2010 do not include a
forecast error adjustment.
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Comment: One commenter suggested
that CMS apply a cumulative forecast
error to account for all of the variations
in the market basket forecasts since FY
2004 (that is, as of when CMS
implemented the market basket forecast
error correction policy.) The commenter
asserted that the forecast adjustment
process did not work as intended, citing
the lack of any annual adjustments in
subsequent years as evidence. The
commenter recommended that the
policy be modified to provide for an FY
2010 cumulative adjustment of 1.0
percent to restore these ‘‘lost’’ dollars to
the SNF industry.
Response: For FY 2004, CMS applied
a one-time, cumulative forecast error
correction of 3.26 percent (68 FR 46036,
August 4, 2003). Since that time, the
forecast errors have been relatively
small and clustered near zero. We
believe the forecast error correction
should be applied only when the degree
of forecast error in any given year is
such that the SNF PPS base payment
rate does not adequately reflect the
historical price changes faced by SNFs.
Accordingly, we continue to believe that
the forecast error adjustment
mechanism should appropriately be
reserved for the type of major,
unexpected change that initially gave
rise to this policy, rather than the minor
variances that are a routine and inherent
aspect of this type of statistical
measurement. Further, we note that all
of the Medicare prospective systems use
an annual market basket adjustment
factor to update rates to reflect inflation
in the prices of goods and services used
by providers.
3. Federal Rate Update Factor
Section 1888(e)(4)(E)(ii)(IV) of the Act
requires that the update factor used to
establish the FY 2010 Federal rates be
at a level equal to the full market basket
percentage change. Accordingly, to
establish the update factor, we
determined the total growth from the
average market basket level for the
period of October 1, 2008 through
September 30, 2009 to the average
market basket level for the period of
October 1, 2009 through September 30,
2010. Using this process, the market
basket update factor for FY 2010 SNF
PPS Federal rates is 2.2 percent. We
used this update factor to compute the
Federal portion of the SNF PPS rate
shown in Tables 2 and 3.
G. Consolidated Billing
Section 4432(b) of the BBA
established a consolidated billing
requirement that places the Medicare
billing responsibility for virtually all of
the services that the SNF’s residents
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receive with the SNF, except for a small
number of services that the statute
specifically identifies as being excluded
from this provision. As noted previously
in section I. of this final rule,
subsequent legislation enacted a number
of modifications in the consolidated
billing provision.
Specifically, section 103 of the BBRA
amended this provision by further
excluding a number of individual ‘‘highcost, low-probability’’ services,
identified by the Healthcare Common
Procedure Coding System (HCPCS)
codes, within several broader categories
(chemotherapy and its administration,
radioisotope services, and customized
prosthetic devices) that otherwise
remained subject to the provision. We
discuss this BBRA amendment in
greater detail in the proposed and final
rules for FY 2001 (65 FR 19231–19232,
April 10, 2000, and 65 FR 46790–46795,
July 31, 2000), as well as in Program
Memorandum AB–00–18 (Change
Request #1070), issued March 2000,
which is available online at https://
www.cms.hhs.gov/transmittals/
downloads/ab001860.pdf.
Section 313 of the BIPA further
amended this provision by repealing its
Part B aspect; that is, its applicability to
services furnished to a resident during
a SNF stay that Medicare Part A does
not cover. (However, physical,
occupational, and speech-language
therapy remain subject to consolidated
billing, regardless of whether the
resident who receives these services is
in a covered Part A stay.) We discuss
this BIPA amendment in greater detail
in the proposed and final rules for FY
2002 (66 FR 24020–24021, May 10,
2001, and 66 FR 39587–39588, July 31,
2001).
In addition, section 410 of the MMA
amended this provision by excluding
certain practitioner and other services
furnished to SNF residents by RHCs and
FQHCs. We discuss this MMA
amendment in greater detail in the
update notice for FY 2005 (69 FR
45818–45819, July 30, 2004), as well as
in Program Transmittal #390 (Change
Request #3575), issued December 10,
2004, which is available online at https://
www.cms.hhs.gov/transmittals/
downloads/r390cp.pdf.
Further, while not substantively
revising the consolidated billing
requirement itself, a related provision
was enacted in the Medicare
Improvements for Patients and
Providers Act of 2008 (MIPPA, Pub. L.
110–275). Specifically, section 149 of
MIPPA amended section
1834(m)(4)(C)(ii) of the Act to create a
new subclause (VII), which adds SNFs
(as defined in section 1819(a) of the Act)
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to the list of entities that can serve as
a telehealth ‘‘originating site’’ (that is,
the location at which an eligible
individual can receive, through the use
of a telecommunications system,
services furnished by a physician or
other practitioner who is located
elsewhere at a ‘‘distant site’’).
As explained in the Medicare
Physician Fee Schedule (PFS) final rule
for Calendar Year (CY) 2009 (73 FR
69726, 69879, November 19, 2008), a
telehealth originating site receives a
facility fee which is always separately
payable under Part B outside of any
other payment methodology. Section
149(b) of MIPPA amended section
1888(e)(2)(A)(ii) of the Act to exclude
telehealth services furnished under
section 1834(m)(4)(C)(ii)(VII) of the Act
from the definition of ‘‘covered skilled
nursing facility services’’ that are paid
under the SNF PPS. Thus, a SNF ‘‘* * *
can receive separate payment for a
telehealth originating site facility fee
even in those instances where it also
receives a bundled per diem payment
under the SNF PPS for a resident’s
covered Part A stay’’ (73 FR 69881). By
contrast, under section 1834(m)(2)(A) of
the Act, a telehealth distant site service
is payable under Part B to an eligible
physician or practitioner only to the
same extent that it would have been so
payable if furnished without the use of
a telecommunications system. Thus, as
explained in the CY 2009 PFS final rule,
eligible distant site physicians or
practitioners can receive payment for a
telehealth service that they furnish
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* * * only if the service is separately
payable under the PFS when furnished in a
face-to-face encounter at that location. For
example, we pay distant site physicians or
practitioners for furnishing services via
telehealth only if such services are not
included in a bundled payment to the facility
that serves as the originating site (73 FR
69880).
This means that in those situations
where a SNF serves as the telehealth
originating site, the distant site
professional services would be
separately payable under Part B only to
the extent that they are not already
included in the SNF PPS bundled per
diem payment and subject to
consolidated billing. Thus, for a type of
practitioner whose services are not
otherwise excluded from consolidated
billing when furnished during a face-toface encounter, the use of a telehealth
distant site would not serve to unbundle
those services. In fact, consolidated
billing does exclude the professional
services of physicians, along with those
of most of the other types of telehealth
practitioners that the law specifies at
section 1842(b)(18)(C) of the Act, that is,
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physician assistants, nurse practitioners,
clinical nurse specialists, certified
registered nurse anesthetists, certified
nurse midwives, and clinical
psychologists (see section
1888(e)(2)(A)(ii) of the Act and 42 CFR
411.15(p)(2)). However, the services of
clinical social workers, registered
dietitians and nutrition professionals
remain subject to consolidated billing
when furnished to a SNF’s Part A
resident and, thus, cannot qualify for
separate Part B payment as telehealth
distant site services in this situation.
Additional information on this
provision appears in Program
Transmittal #1635 (Change Request
#6215), issued November 14, 2008,
which is available online at https://
www.cms.hhs.gov/transmittals/
downloads/R1635CP.pdf.
To date, the Congress has enacted no
further legislation affecting the
consolidated billing provision.
However, as noted above and explained
in the proposed rule for FY 2001 (65 FR
19232, April 10, 2000), the amendments
enacted in section 103 of the BBRA not
only identified for exclusion from this
provision a number of particular service
codes within four specified categories
(that is, chemotherapy items,
chemotherapy administration services,
radioisotope services, and customized
prosthetic devices), but also gave the
Secretary ‘‘* * * the authority to
designate additional, individual services
for exclusion within each of the
specified service categories.’’ In the
proposed rule for FY 2001, we also
noted that the BBRA Conference report
(H.R. Rep. No. 106–479 at 854 (1999)
(Conf. Rep.)) characterizes the
individual services that this legislation
targets for exclusion as ‘‘* * * highcost, low probability events that could
have devastating financial impacts
because their costs far exceed the
payment [SNFs] receive under the
prospective payment system * * *’’.
According to the conferees, section
103(a) ‘‘is an attempt to exclude from
the PPS certain services and costly
items that are provided infrequently in
SNFs. * * * For example, * * *
specific chemotherapy drugs * * * not
typically administered in a SNF, or
* * * requiring special staff expertise to
administer * * *.’’ By contrast, the
remaining services within those four
categories are not excluded (thus
leaving all of those services subject to
SNF consolidated billing), because they
are relatively inexpensive and are
furnished routinely in SNFs.
As we further explained in the final
rule for FY 2001 (65 FR 46790, July 31,
2000), and as our longstanding policy,
any additional service codes that we
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might designate for exclusion under our
discretionary authority must meet the
same statutory criteria used in
identifying the original codes excluded
from consolidated billing under section
103(a) of the BBRA: They must fall
within one of the four service categories
specified in the BBRA, and they also
must meet the same standards of high
cost and low probability in the SNF
setting, as discussed in the BBRA
Conference report. Accordingly, we
characterized this statutory authority to
identify additional service codes for
exclusion ‘‘* * * as essentially
affording the flexibility to revise the list
of excluded codes in response to
changes of major significance that may
occur over time (for example, the
development of new medical
technologies or other advances in the
state of medical practice)’’ (65 FR
46791). In the FY 2010 proposed rule,
we specifically invited public comments
identifying codes in any of these four
service categories (chemotherapy items,
chemotherapy administration services,
radioisotope services, and customized
prosthetic devices) representing recent
medical advances that might meet our
criteria for exclusion from SNF
consolidated billing (74 FR 22208,
22249, May 12, 2009). The comments
that we received on this subject, and our
responses, appear below.
Comment: Several commenters
submitted additional chemotherapy
codes that they recommended for
exclusion from consolidated billing.
Response: A review of the particular
chemotherapy codes that commenters
submitted in response to the proposed
rule’s solicitation for comment revealed
that many of them were codes that had
already been submitted for
consideration in past years, and which
we had already decided previously not
to exclude. Other codes that
commenters submitted were themselves
already in existence as of July 1, 1999,
but did not fall within the specific code
ranges statutorily designated for
exclusion in the BBRA. As the statute
does not specifically exclude these
already-existing codes (and as further
discussed later in this section of the
final rule), we are not adding them to
the exclusion list. Most of the other
codes submitted represent services that,
for various reasons, do not meet the
statutory criteria for exclusion. For
example, some represent oral
medications that can be administered
routinely in SNFs and are not
reasonably characterized as ‘‘requiring
special staff expertise to administer’’ in
accordance with the previously-cited
BBRA Conference report language.
Other codes do not meet the BBRA
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Conference report’s threshold criteria of
high cost (that is, an item whose ‘‘* * *
costs far exceed the payment [SNFs]
receive under the prospective payment
system’’) and low probability that the
Congress imposed in enacting this
exclusion. Still others represent drugs
that are administered in conjunction
with chemotherapy to address side
effects such as nausea; however, as such
drugs are not in themselves inherently
chemotherapeutic in nature, they do not
fall within the excluded chemotherapy
category designated in the BBRA. Two
particular codes that a commenter
offered as possible candidates for the
chemotherapy exclusion actually are not
anti-cancer drugs, but rather, are used in
hormone therapy and for the treatment
of certain types of anemia, respectively.
Finally, some other codes that were
submitted represent services that, in
fact, are already excluded from
consolidated billing under existing
instructions.
Comment: Some commenters
reiterated previous suggestions on
expanding the existing chemotherapy
exclusion to encompass related drugs
that are commonly administered in
conjunction with chemotherapy in order
to treat the side effects of the
chemotherapy drugs. The commenters
cited examples such as anti-emetics
(anti-nausea drugs) and erythropoietin
(EPO).
Response: As we have noted
previously in this final rule and in
response to comments on this issue in
the past (most recently, in the August 8,
2008 SNF PPS final rule for FY 2009 (73
FR 46437)), the BBRA authorizes us to
identify additional services for
exclusion only within those particular
service categories—chemotherapy and
its administration; radioisotope services;
and, customized prosthetic devices—
that it has designated for this purpose,
and does not give us the authority to
exclude other services which, though
they may be related, fall outside of the
specified service categories themselves.
Thus, while anti-emetics, for example,
are commonly administered in
conjunction with chemotherapy, they
are not themselves inherently
chemotherapeutic in nature and,
consequently, do not fall within the
excluded chemotherapy category
designated in the BBRA. We also
explained in the FY 2008 final rule that
the existing statutory exclusion from
consolidated billing for EPO is
effectively defined by the scope of
coverage under the Part B EPO benefit
at section 1861(s)(2)(O) of the Act; that
benefit, in turn, specifically limits EPO
coverage to dialysis patients, and does
not provide for such coverage in any
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other, non-dialysis situations such as
chemotherapy (72 FR 43432).
Comment: One comment concerned
our longstanding view, most recently
discussed in the SNF PPS final rule for
FY 2009 (73 FR 46436, August 8, 2008)
and the SNF PPS proposed rule for FY
2010 (74 FR 22249, May 12, 2009), that
the authority granted by the BBRA to
identify additional codes for exclusion
within the designated categories
essentially serves to confer ‘‘* * * the
flexibility to revise the list of excluded
codes in response to changes of major
significance that may occur over time
(for example, the development of new
medical technologies or other advances
in the state of medical practice)’’
(emphasis added). Our position has
always been that this discretionary
authority applies solely to codes that
were created subsequent to the
enactment of the BBRA, and not to those
codes that were already in existence as
of July 1, 1999 (the date that the
legislation itself uses as the reference
point for identifying those codes that it
designates for exclusion). Implicit in
this position is an assumption that if a
particular code was already in existence
as of that date but not designated for
exclusion, this indicated the Congress’s
intent for that code to remain within the
SNF PPS bundle.
One commenter took exception to this
position and cited the Conference report
that accompanied the BBRA (H.R. Rep.
No. 106–479 at 854 (1999) (Conf. Rep.)),
which gives two examples of potential
problems with the practice of ‘‘* * *
excluding services or items from the
[SNF] PPS by specifying codes in
legislation’’:
• Some already-existing items that
meet the exclusion criteria may have
inadvertently been left off of the original
exclusion list.
• New, extremely costly items may
come into use or codes may change over
time.
The commenter then asserted that our
discretionary authority to identify
additional codes for exclusion should
apply not only to the latter concern, but
also to the former one as well. As a
result, the commenter argued that our
periodic review of the codes for possible
additional exclusions from consolidated
billing should not be limited to only
new and revised codes, but should also
consider the entire set of codes that
were already in existence as of the
BBRA legislation’s reference date, July
1, 1999.
Response: In contrast to the new and
revised codes that reflect an ongoing
process of change within the coding
system, the codes that were in existence
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as of the BBRA reference date (July 1,
1999) essentially comprise a closed code
set at this point, one that remains static
and unchanging from year to year.
Accordingly, we do not believe that it
would be either necessary or
appropriate to conduct recurring
reviews of this particular code set once
it has received an initial review.
Moreover, we note that after identifying
the two potential problems with
designating exclusions by code as
discussed above, the BBRA Conference
report that the commenter cites then
goes on to issue two specific directives:
it confers on the Secretary the authority
‘‘* * * to review periodically and
modify, as needed, the list of excluded
services’’ (emphasis added), and it also
directs the GAO ‘‘* * * to review the
codes of the excluded items and make
recommendations on whether the
criteria for their exclusion are
appropriate by July 1, 2000’’ (emphasis
added). Accordingly, we believe it is
clear that the GAO’s short-term, onetime-only review of the exclusion codes
would serve to encompass those codes
already in existence as of the BBRA
reference date, while the Secretary’s
ongoing authority to conduct reviews
‘‘periodically’’ was intended to address
changes in the coding system that occur
subsequent to that point.
Comment: Although the FY 2010 SNF
PPS proposed rule specifically invited
comments on possible exclusions
within the particular service categories
identified in the BBRA legislation, a
number of commenters took this
opportunity to reiterate concerns about
other aspects of consolidated billing.
For example, some commenters
reiterated past comments made on
previous rules, urging CMS to unbundle
additional service categories. The
commenters identified services such as
hyperbaric oxygen treatments,
observation services, and blood
transfusions as appropriate candidates
for exclusion. They also repeated
previous calls to expand the existing
exclusion for certain high-intensity
outpatient hospital services to
encompass services furnished in other,
nonhospital settings, arguing that such
nonhospital services may be cheaper
and more accessible in certain localities
(such as rural settings) than those
furnished by hospitals. Some
commenters expressed support for
expanding the existing, partial
exclusion of ambulance services from
consolidated billing to encompass all
ambulance services, but they also
acknowledged that creating such an
exclusion of an entire service category
would require legislation by the
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Congress. Another commenter
recommended conducting a
comprehensive overhaul of the entire
set of existing consolidated billing
exclusions, in a way that would
streamline and simplify the current
complex set of exclusion rules and make
it easier to administer.
Response: As we have consistently
stated (most recently, in the August 8,
2008 SNF PPS final rule for FY 2009 (73
FR 46436)), the BBRA authorizes us to
identify additional services for
exclusion only within those particular
service categories—chemotherapy and
its administration; radioisotope services;
and, customized prosthetic devices—
that it has designated for this purpose,
and does not give us the authority to
carve out entire service categories
beyond those specified in the law.
Accordingly, as the particular services
that these commenters recommended
for exclusion do not fall within one of
the specific service categories
designated for this purpose in the
statute itself, these services remain
subject to consolidated billing.
We have also included in a number of
previous rules an explanation of the
setting-specific nature of the exclusion
for certain high-intensity outpatient
hospital services—most recently, in the
FY 2009 SNF PPS final rule (73 FR
46436, August 8, 2008):
We believe the comments that reflect
previous suggestions for expanding this
administrative exclusion to encompass
services furnished in non-hospital settings
indicate a continued misunderstanding of the
underlying purpose of this provision. As we
have consistently noted in response to
comments on this issue in previous years
* * * and as also explained in Medicare
Learning Network (MLN) Matters article
SE0432 (available online at https://
www.cms.hhs.gov/MLNMattersArticles/
downloads/SE0432.pdf), the rationale for
establishing this exclusion was to address
those types of services that are so far beyond
the normal scope of SNF care that they
require the intensity of the hospital setting in
order to be furnished safely and effectively.
Moreover, we note that when the Congress
enacted the consolidated billing exclusion for
certain RHC and FQHC services in section
410 of the MMA, the accompanying
legislative history’s description of present
law acknowledged that the existing
exclusions for exceptionally intensive
outpatient services are specifically limited to
‘‘* * * certain outpatient services from a
Medicare-participating hospital or critical
access hospital * * *’’ (emphasis added).
(See the House Ways and Means Committee
Report (H. Rep. No. 108–178, Part 2 at 209),
and the Conference Report (H. Conf. Rep. No.
108–391 at 641).) Therefore, these services
are excluded from SNF consolidated billing
only when furnished in the outpatient
hospital or CAH setting, and not when
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furnished in other, freestanding (non-hospital
or non-CAH) settings.
Further, the authority for us to
establish a categorical exclusion for
these services that would apply
irrespective of the setting in which they
are furnished does not exist in current
law. In addition, with regard to the
relative availability of such services in
hospital versus nonhospital settings, we
have also noted previously that:
* * * to the extent that advances in medical
practice over time may make it feasible to
perform such a service more widely in a less
intensive, nonhospital setting, this would not
argue in favor of excluding the nonhospital
performance of the service from consolidated
billing under these regulations, but rather,
would call into question whether the service
should continue to be excluded from
consolidated billing at all, even when
performed in the hospital setting (70 FR
45049, August 4, 2005).
Regarding the comment on ambulance
services, we agree with the commenters
that carving out an entire service
category from consolidated billing
would require legislation by the
Congress, and cannot be accomplished
administratively. Finally, with reference
to the suggestion for a comprehensive
overhaul of the existing consolidated
billing rules, while the commenter’s
interest in promoting improved ease of
administration is understandable, we
note that current law contains no
authority to adopt the suggested
approach.
Comment: Some comments cited
ongoing concerns about the SNF PPS’s
ability to account accurately for the cost
of NTAs, and suggested that we create
additional consolidated billing
exclusions for certain exceptionally
high-cost drugs as a means of addressing
those concerns.
Response: We note that, as mentioned
previously in section III.C.2 of this final
rule, we are continuing to conduct
research relating to the treatment of
NTAs under the SNF PPS, including the
exploration of possible modifications in
the case-mix classification system that
might further improve its accuracy in
accounting for these costs. However, as
we indicated in the SNF PPS final rule
for FY 2002 (66 FR 39588, July 31,
2001), and again in the SNF PPS final
rule for FY 2004 (68 FR 46062, August
4, 2003), ‘‘* * * we do not share the
view * * * that the creation of
additional exclusions from consolidated
billing could serve, in effect, as an
interim substitute for [such]
refinements.’’ Rather, we believe ‘‘* * *
that payment adjustments relating to
case-mix would best be accomplished
directly through refinements in the casemix classification system’’ itself.
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Comment: In contrast to the preceding
comments that advocated expanding the
existing exclusion of certain
exceptionally intensive outpatient
services to encompass freestanding
(nonhospital) settings, one commenter
specifically acknowledged this
exclusion’s restriction to the hospital
setting, and then proceeded to
recommend a particular drug,
natalizumab (Tysabri®, HCPCS code
J2323) for exclusion on this basis.
Natalizumab is an intravenous infusion
drug used for treating multiple sclerosis
in cases where alternative therapies are
not feasible. The commenter indicated
that natalizumab not only meets the
general criteria of high cost, low
probability, and inelastic demand (that
is, the service is unlikely to be
overprovided even if separate payment
under Part B becomes available for it)
that characterize services under the
exclusion, but also has a number of
specific characteristics that could
reasonably be viewed as requiring the
intensity of the hospital setting for its
safe and effective administration. The
commenter noted that under the terms
of this drug’s approval by the Food and
Drug Administration (FDA),
natalizumab is subject to a complex risk
minimization action plan (RiskMAP)
protocol that requires highly specialized
expertise in its administration. The
commenter also cited an FDA notice in
the Federal Register (73 FR 16313,
March 27, 2008), including natalizumab
in a list of drugs that are deemed to have
in effect an approved risk evaluation
and mitigation strategy (REMS). (The
REMS is designed to address certain
drugs that, while providing an
important benefit to patients, can be
especially dangerous if not used
properly.) The FDA notice also
indicated that such drugs have in effect
a number of elements to assure safe use,
including their being ‘‘* * * dispensed
to patients only in certain health care
settings, such as hospitals . * * *’’
Accordingly, the commenter also
suggested that we consider similarly
excluding the other drugs identified in
the FDA notice (which, like
natalizumab, are deemed to have an
approved REMS in effect).
Response: We believe that the
commenter’s observations merit further
study to determine whether drugs of
this type might, in fact, meet the
outpatient hospital services exclusion’s
longstanding threshold (most recently
discussed, as noted previously, in the
FY 2009 SNF PPS final rule (74 FR
46436, August 8, 2008)) of being ‘‘* * *
so far beyond the normal scope of SNF
care that they require the intensity of
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of care, but have been required to
submit four types of abbreviated MDS
assessments: The abbreviated Medicare
Assessments submitted on days 5, 14,
30, 60, and 90 used to determine
payment under the SNF PPS, entry and
discharge tracking assessments, the
clinical change assessments, and the
Other Medicare Required Assessments
(OMRAs). The limited use of the MDS
for quality monitoring was established
because we believed that swing-bed
units, as parts of rural hospitals, were
already subject to the hospital quality
review process. In addition, our
analyses showed that the average length
of stay in swing-bed facilities was
significantly lower than in either
hospital-based or freestanding SNFs,
and that our existing quality measures
might be unable to evaluate short-stay
patient care accurately. Thus, in the FY
2002 final rule referenced above (65 FR
39590), we decided that we would not
‘‘require swing-bed facilities to perform
the care planning and quality
H. Application of the SNF PPS to SNF
monitoring components included in the
Services Furnished by Swing-Bed
Hospitals; Quality Monitoring of Swing- full MDS * * *’’ at that point. At the
same time, we explained our intention
Bed Hospitals
of including ‘‘* * * an analysis of
In accordance with section 1888(e)(7)
swing-bed requirements in our
of the Act, as amended by section 203
comprehensive reevaluation of all postof the BIPA, Part A pays CAHs on a
acute data needs, and in the design of
reasonable cost basis for SNF services
any future assessment and data
furnished under a swing-bed agreement.
collection tools.’’
However, effective with cost reporting
Since that time, we have expanded
periods beginning on or after July 1,
our quality analysis in a variety of
2002, the swing-bed services of nonsettings, and have made SNF
CAH rural hospitals are paid under the
information publicly available through
SNF PPS. As explained in the final rule
Nursing Home Compare and other
for FY 2002 (66 FR 39562, July 31,
initiatives. While developing ways to
2001), we selected this effective date
monitor and compare quality across
consistent with the statutory provision
swing-bed facilities and between swingto integrate swing-bed rural hospitals
into the SNF PPS by the end of the SNF bed facilities and other SNFs would
increase swing-bed facility data
transition period, June 30, 2002.
collection and transmission
Accordingly, all non-CAH swing-bed
requirements, it would also increase the
rural hospitals have come under the
SNF PPS as of June 30, 2003. Therefore, information available to patients,
families, and oversight agencies for
all rates and wage indexes outlined in
making placement decisions and
earlier sections of this final rule for the
evaluating the quality of care furnished
SNF PPS also apply to all non-CAH
by swing-bed facilities. For these
swing-bed rural hospitals. A complete
discussion of assessment schedules, the reasons, in the FY 2010 proposed rule
(74 FR 22208, 22250, May 12, 2009), we
MDS and the transmission software
(RAVEN–SB for Swing Beds) appears in stated that we were considering a
the final rule for FY 2002 (66 FR 39562, change in the swing-bed MDS (SB–
July 31, 2001). The latest changes in the MDS) reporting requirements that
would go into effect with the
MDS for swing-bed rural hospitals
introduction of the MDS 3.0. Since the
appear on the SNF PPS Web site,
https://www.cms.hhs.gov/snfpps. It is our current SB–MDS does not include the
intention to include rural hospital swing items needed to evaluate quality in the
same way as for other nursing facilities,
beds in the transition to the MDS 3.0
we proposed to eliminate the SB–MDS,
effective October 1, 2010, and to adopt
the RUG–IV classification for swing-bed and replace it with the MDS 3.0
equivalent of the Medicare Payment
facilities on that same date. Under the
Assessment Form (MPAF) that captures
RUG–III payment model, swing-bed
all of the items used in determining
hospitals have not been
quality measures. Accordingly, in the
comprehensively monitored for quality
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the hospital setting in order to be
furnished safely and effectively.’’
Accordingly, we plan to examine the
appropriateness of designating one or
more of these drugs as exceptionally
intensive outpatient hospital services
for purposes of exclusion from
consolidated billing. As we noted in the
discussion of the outpatient hospital
exclusion in the SNF PPS final rule for
FY 2000 (64 FR 41676, July 30, 1999),
while any broad refinements in the
outpatient hospital exclusion’s
underlying policy itself (which might be
necessitated by the development of the
outpatient hospital PPS) ‘‘* * * would
be made through future rulemaking,’’
modifying the list of individual services
encompassed by the exclusion would
occur ‘‘* * * in future instructions.’’
Accordingly, we would use program
instructions as the vehicle for specifying
any additional services that we may
decide to designate as qualifying for
exclusion on this basis.
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FY 2010 proposed rule (74 FR 22208,
22250, May 12, 2009), we solicited
comments on expanding swing-bed
MDS reporting requirements to apply
the quality monitoring mechanism in
place for all other SNF PPS facilities to
rural swing-bed hospitals. The
comments that we received on this
subject, and our responses, appear
below.
Comment: Some commenters
supported the quality monitoring of
swing-bed services, while others
opposed it. Those who opposed quality
monitoring of swing-bed services
asserted that the existing hospital
quality review process is sufficient, and
that the short length of stays for swingbed patients would not result in reliable
measures. The commenters were also
concerned with the burden associated
with additional paperwork. A few
commenters stated that this would
impose a burden on CAHs. Those who
supported quality monitoring of swingbed services argued that it would help
achieve greater consistency between the
swing-bed and SNF settings, and would
allow consumers to make the same
quality comparisons and evaluations for
swing beds as for SNFs.
Response: When the Congress enacted
the swing-bed program, it described
swing-bed services as ‘‘* * * services of
the type which, if furnished by a skilled
nursing facility, would constitute
extended care services’’ (section
1883(a)(1) of the Act). Therefore, we
believe it is appropriate and in the best
interest of beneficiaries to monitor the
quality of care provided in swing-bed
hospitals similar to the manner in
which we monitor quality of care for
SNFs, and to be able to inform
consumers of the various choices they
have for post acute care services in their
community. We are cognizant of the
short length of stays in swing beds and
realize that the current CMS quality
measures may not be applicable in
many instances for swing-bed providers.
However, we will not be able to make
a sound decision unless we first gather
the data to determine the best avenue
for measuring quality similar to SNFs.
Based on comments received, we will
limit the items to be collected in the
MDS 3.0 swing-bed assessment to the
required demographic, payment, and
quality items. The MDS 3.0 swing-bed
assessment will be similar to the MDS
3.0 MPAF; however, it will contain
fewer items, as the MPAF includes
clinical items that are not required for
payment or quality measures. We will
begin collecting the data from swing-bed
facilities starting October 1, 2010, and
then, once sufficient information is
obtained, we will conduct an analysis
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that includes (but is not limited to) the
following: (1) Whether the length of stay
in swing beds is adequate to measure
changes (or outcomes) in patient care;
(2) Whether these changes are
measurable and attainable; and (3)
Which quality measures are appropriate.
We will also determine the best venue
to share quality data on swing beds with
consumers. Because CAHs are not
subject to SNF PPS and MDS
requirements at this time, they will not
be required to complete the MDS 3.0
and, thus, are not affected by the policy
to collect quality data from swing beds
based on MDS data.
Section 483.20
IV. Provisions of the Final Rule
Section 483.315 Specification of
Resident Assessment Instrument
This final rule incorporates the
provisions of the regulations text of the
proposed rule (74 FR 22208), as herein
modified. We have adopted the
proposed changes from the above
captioned proposed rule with regard to
the Resident Assessment Instrument
under the MDS 3.0 (including an
implementation schedule) provision
that will be introduced in conjunction
with the RUG–IV classification system.
In § 483.315(h), we have removed the
term ‘‘survey’’ and replaced it with
‘‘agency’’.
In § 483.315(h)(3), we have removed
the word ‘‘all’’.
Section 483.315(h) requires the
facility to support and maintain the
CMS State system and database and
analyze data and generate and transmit
reports as specified by CMS.
While there is burden associated with
this requirement, we believe this
requirement is exempt from the PRA as
stated in sections 4204(b) and 4214(d) of
the Omnibus Budget Reconciliation Act
of 1987 (OBRA 1987, Pub. L. 100–203),
which specifically waive PRA
requirements with respect to the revised
requirements for participation
introduced by the nursing home reform
legislation.
In the FY 2002 SNF PPS proposed
rule (66 FR 24026–28, May 10, 2001)
and final rule (66 FR 39594–96, July 31,
2001), we invited and discussed public
comments on the information collection
aspects of establishing the existing,
abbreviated MDS completion
requirements that apply to rural swingbed hospitals paid under the SNF PPS
(CMS–10064, OMB# 0938–0872, 73 FR
30105, May 23, 2008). Similarly, in the
FY 2010 proposed rule (74 FR 22208,
22250, May 12, 2009), we invited public
comment with respect to the expansion
of MDS reporting requirements so that
the quality measures currently in place
for all other SNF PPS facilities can be
applied to swing-bed hospitals, as
discussed previously in section III.H of
this final rule. Specifically, we proposed
to replace the SB–MDS with the MDS
3.0 version of the MPAF.
If you comment on these information
collection and recordkeeping
requirements, please submit your
comments to the Office of Information
and Regulatory Affairs, Office of
Management and Budget,
Attention: CMS Desk Officer, [1410–
F].
Fax: (202) 395–6974; or
E-mail: OIRA_submission@omb.eop.
gov.
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V. Collection of Information
Requirements
Under the Paperwork Reduction Act
of 1995, we are required to provide 30day notice in the Federal Register and
solicit public comment before a
collection of information requirement is
submitted to the Office of Management
and Budget (OMB) for review and
approval. 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.
We are soliciting public comment on
each of these issues for the following
sections of this document that contain
information collection requirements
(ICRs):
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Resident Assessment
Section 483.20(b) requires the facility
to make a comprehensive assessment of
a resident’s needs using the resident
assessment instrument (RAI) provided
by the State.
Section 483.20(f)(3) requires upon
completion of the RAI for the facility to
electronically transmit encoded,
accurate, complete MDS data to the
CMS system.
While there is burden associated with
the requirements found under Section
483.20, they are currently approved
under OMB# 0938–0739.
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40357
VI. Regulatory Impact Analysis
A. Overall Impact
We have examined the impacts of this
rule as required by Executive Order
12866 (September 1993, Regulatory
Planning and Review), the Regulatory
Flexibility Act (September 19, 1980,
RFA, Pub. L. 96–354), section 1102(b) of
the Social Security Act (the Act), the
Unfunded Mandates Reform Act of 1995
(UMRA, Pub. L. 104–4), Executive Order
13132 on Federalism, and the
Congressional Review Act (5 U.S.C.
804(2)).
Executive Order 12866 directs
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). A regulatory impact
analysis (RIA) must be prepared for
major rules with economically
significant effects ($100 million or more
in any 1 year). This final rule is an
economically significant rule under
Executive Order 12866, because we
estimate the FY 2010 impact reflects a
$690 million increase from the update
to the payment rates and a $1.05 billion
reduction (on an incurred basis) from
the recalibration of the case-mix
adjustment, thereby yielding a net
decrease of $360 million in payments to
SNFs. For FY 2011, we estimate that
there will be no aggregate impact on
payments as a result of the
implementation of the RUG–IV model,
which will be introduced on a budget
neutral basis. The final FY 2011 impacts
will be issued prior to August 1, 2010,
and will include the FY 2011 market
basket update, FY 2011 wage index, and
any further FY 2011 policy changes.
Furthermore, we are also considering
this a major rule as defined in the
Congressional Review Act (5 U.S.C.
804(2)).
The update set forth in this final rule
would apply to payments in FY 2010. In
addition, we include a preliminary
estimate of the impact of the
introduction of the RUG–IV model on
FY 2011 payments. In accordance with
the requirements of the Act, we will
publish a notice for each subsequent FY
that will provide for an update to the
payment rates and include an associated
impact analysis. Therefore, final
estimates for FY 2011 will be published
prior to August 1, 2010.
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
businesses or other small entities. For
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purposes of the RFA, small entities
include small businesses, nonprofit
organizations, and small government
jurisdictions. Most SNFs and most other
providers and suppliers are small
entities, either by their nonprofit status
or by having revenues of $13.5 million
or less in any 1 year. For purposes of the
RFA, approximately 51 percent of SNFs
are considered small businesses
according to the Small Business
Administration’s latest size standards,
with total revenues of $13.5 million or
less in any 1 year (for further
information, see https://www.sba.gov/
idc/groups/public/documents/
sba_homepage/serv_sstd_tablepdf.pdf).
Individuals and States are not included
in the definition of a small entity. In
addition, approximately 29 percent of
SNFs are nonprofit organizations.
This final rule updates the SNF PPS
rates published in the final rule for FY
2009 (73 FR 46416, August 8, 2008) and
the associated correction notice (73 FR
56998, October 1, 2008), thereby
decreasing net payments by an
estimated $360 million. As indicated in
Table 17a, the effect on facilities will be
a net negative impact of 1.1 percent. The
total impact reflects a $1.05 billion
reduction from the recalibration of the
case-mix adjustment, offset by a $690
million increase from the update to the
payment rates. We also note that the
percent decrease will vary due to the
distributional impact of the FY 2010
wage indexes and the degree of
Medicare utilization. For FY 2011, we
estimate that there will be no aggregate
impact on payments due to the
introduction of the RUG–IV model.
However, we estimate that there will be
distributional impacts that vary from
slight increases to slight decreases due
to the case-mix distribution of
individual providers.
Guidance issued by the Department of
Health and Human Services, on the
proper assessment of the impact on
small entities in rulemakings, utilizes a
revenue impact of 3 to 5 percent as a
significance threshold under the RFA.
While this final rule is considered
economically significant, its relative
impact on SNFs overall is small because
Medicare is a relatively minor payer
source for nursing home care. We
estimate that Medicare covers
approximately 10 percent of service
days, and approximately 20 percent of
payments. However, the distribution of
days and payments is highly variable,
with the majority of SNFs having
significantly lower Medicare utilization.
As a result, for most facilities, the
impact to total facility revenues,
considering all payers, should be
substantially less than those shown in
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Table 17a. Therefore, the Secretary has
determined that this final rule would
not have a significant impact on a
substantial number of small entities.
However, in view of the potential
economic impact on small entities, we
have considered alternatives as
described in section III.K.3 of this final
rule.
In addition, section 1102(b) of the Act
requires us to prepare a regulatory
impact analysis if a rule may have a
significant impact on the operations of
a substantial number of small rural
hospitals. This analysis must conform to
the provisions of section 604 of the
RFA. For purposes of section 1102(b) of
the Act, we define a small rural hospital
as a hospital that is located outside of
a Metropolitan Statistical Area and has
fewer than 100 beds. This final rule will
affect small rural hospitals that (a)
furnish SNF services under a swing-bed
agreement or (b) have a hospital-based
SNF. We anticipate that the impact on
small rural hospitals will be similar to
the impact on SNF providers overall.
Therefore, the Secretary has determined
that this final rule will not have a
significant impact on the operations of
a substantial number of small rural
hospitals.
Executive Order 13132 establishes
certain requirements that an agency
must meet when it promulgates
regulations that impose substantial
direct requirement costs on State and
local governments, preempts State law,
or otherwise has Federalism
implications. This final rule would have
no substantial direct effect on State and
local governments, preempt State law,
or otherwise have Federalism
implications. Further, while we realize
that there is an impact on the Federal
portion of the Medicaid payment, we
have not yet determined the specific
amount of that impact. However, we are
working closely with State survey and
Medicaid agencies to gain a better
understanding of the impact from the
transition to MDS 3.0 and the RUG–IV
model.
Section 202 of UMRA also requires
that agencies assess anticipated costs
and benefits before issuing any rule
whose mandates require spending in
any 1 year of $100 million in 1995
dollars, updated annually for inflation.
In 2009, that threshold is approximately
$133 million. This final rule would not
impose spending costs on State, local, or
Tribal governments in the aggregate, or
by the private sector, of $133 million.
B. Anticipated Effects
This final rule sets forth updates of
the SNF PPS rates contained in the final
rule for FY 2009 (73 FR 46416, August
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8, 2008) and the associated correction
notice (73 FR 56998, October 1, 2008).
Based on the above, we estimate the FY
2010 impact would be a net decrease of
$360 million in payments to SNFs (this
reflects a $1.05 billion reduction from
the recalibration of the case-mix
adjustment, offset by a $690 million
increase from the update to the payment
rates). The impact analysis of this final
rule represents the projected effects of
the changes in the SNF PPS from FY
2009 to FY 2010. We assess the effects
by estimating payments while holding
all other payment-related variables
constant. Although the best data
available is utilized, there is no attempt
to predict behavioral responses to these
changes, or to make adjustments for
future changes in such variables as days
or case-mix. In addition, we provide an
impact analysis projecting the changes
for FY 2011 due to the introduction of
the RUG–IV model.
Certain events may occur to limit the
scope or accuracy of our impact
analysis, as this analysis is futureoriented and, thus, very susceptible to
forecasting errors due to certain events
that may occur within the assessed
impact time period. Some examples of
possible events may include newly
legislated general Medicare program
funding changes by the Congress, or
changes specifically related to SNFs. In
addition, changes to the Medicare
program may continue to be made as a
result of previously enacted legislation,
or new statutory provisions. Although
these changes may not be specific to the
SNF PPS, the nature of the Medicare
program is that the changes may interact
and, thus, the complexity of the
interaction of these changes could make
it difficult to predict accurately the full
scope of the impact upon SNFs.
In accordance with section
1888(e)(4)(E) of the Act, we update the
payment rates for FY 2009 by a factor
equal to the full market basket index
percentage increase plus the FY 2008
forecast error adjustment to determine
the payment rates for FY 2010. The
special AIDS add-on established by
section 511 of the MMA remains in
effect until ‘‘* * * such date as the
Secretary certifies that there is an
appropriate adjustment in the case mix
* * *.’’ We have not provided a
separate impact analysis for the MMA
provision. Our latest estimates indicate
that there are slightly more than 2,700
beneficiaries who qualify for the AIDS
add-on payment. The impact to
Medicare is included in the ‘‘total’’
column of Table 17a. In updating the
rates for FY 2010, we make a number of
standard annual revisions and
clarifications mentioned elsewhere in
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this final rule (for example, the update
to the wage and market basket indexes
used for adjusting the Federal rates).
These revisions increase payments to
SNFs by approximately $690 million.
We estimate the net decrease in
payments associated with this final rule
to be $360 million for FY 2010. The
decrease of $1.05 billion due to the
recalibration of the case-mix
adjustment, together with the market
basket increase of $690 million, results
in a net decrease of $360 million.
The FY 2010 impacts appear in Table
17a. The breakdown of the various
categories of data in the table follows.
The first column shows the
breakdown of all SNFs by urban or rural
status, hospital-based or freestanding
status, and census region.
The first row of figures in the first
column describes the estimated effects
of the various changes on all facilities.
The next six rows show the effects on
facilities split by hospital-based,
freestanding, urban, and rural
categories. The urban and rural
designations are based on the location of
the facility under the CBSA designation.
The next twenty-two rows show the
effects on urban versus rural status by
census region.
The second column in the table shows
the number of facilities in the impact
database.
The third column of the table shows
the effect of the annual update to the
wage index. This represents the effect of
using the most recent wage data
available. The total impact of this
change is zero percent; however, there
are distributional effects of the change.
The fourth column shows the effect of
recalibrating the case-mix adjustment to
the nursing CMIs. As explained
previously in section II.B.2 of this final
rule, we are proposing this recalibration
so that the CMIs more accurately reflect
parity in expenditures under the
refined, 53-group RUG system
introduced in 2006 relative to payments
made under the original, 44-group RUG
system, and in order to keep the NTA
component at the appropriate level
specified in the FY 2006 SNF PPS final
rule. The total impact of this change is
40359
a decrease of 3.3 percent. We note that
some individual providers may
experience larger decreases in payments
than others due to case-mix utilization.
The fifth column shows the effect of
all of the changes on the FY 2010
payments. The market basket increase of
2.2 percentage points is constant for all
providers and, though not shown
individually, is included in the total
column. It is projected that aggregate
payments will decrease by 1.1 percent,
assuming facilities do not change their
care delivery and billing practices in
response.
As can be seen from Table 17a, the
combined effects of all of the changes
vary by specific types of providers and
by location. For example, though nearly
all facilities would experience payment
decreases, providers in the rural
Mountain region would show a slight
increase of 0.1 percent for FY 2010 total
payments. Of those facilities showing
decreases, facilities in the urban New
England and urban Mountain areas of
the country show the smallest
decreases.
TABLE 17A—PROJECTED IMPACT TO THE SNF PPS FOR FY 2010
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Number of
facilities
Total .................................................................................................................................
Urban ...............................................................................................................................
Rural ................................................................................................................................
Hospital based urban .......................................................................................................
Freestanding urban ..........................................................................................................
Hospital based rural .........................................................................................................
Freestanding rural ............................................................................................................
Urban by region:
New England ............................................................................................................
Middle Atlantic ..........................................................................................................
South Atlantic ...........................................................................................................
East North Central ....................................................................................................
East South Central ...................................................................................................
West North Central ...................................................................................................
West South Central ..................................................................................................
Mountain ...................................................................................................................
Pacific .......................................................................................................................
Outlying .....................................................................................................................
Rural by region:
New England ............................................................................................................
Middle Atlantic ..........................................................................................................
South Atlantic ...........................................................................................................
East North Central ....................................................................................................
East South Central ...................................................................................................
West North Central ...................................................................................................
West South Central ..................................................................................................
Mountain ...................................................................................................................
Pacific .......................................................................................................................
Outlying .....................................................................................................................
Ownership:
Government ..............................................................................................................
Proprietary ................................................................................................................
Voluntary ...................................................................................................................
Update
wage data
(percent)
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Total FY
2010
change
(percent)
15,307
10,586
4,721
1,675
8,911
1,065
3,656
0.0
0.1
¥0.3
¥0.1
0.1
¥0.2
¥0.3
¥3.3
¥3.3
¥3.1
¥3.4
¥3.3
¥3.3
¥3.1
¥1.1
¥1.1
¥1.3
¥1.4
¥1.1
¥1.4
¥1.3
832
1,489
1,742
2,024
539
874
1,200
478
1,402
6
0.8
¥0.1
0.0
¥0.2
¥0.4
0.3
¥0.4
0.8
0.4
¥0.1
¥3.4
¥3.5
¥3.2
¥3.2
¥3.3
¥3.3
¥3.2
¥3.2
¥3.3
¥3.6
¥0.5
¥1.4
¥1.1
¥1.3
¥1.5
¥0.9
¥1.5
¥0.3
¥0.8
¥1.5
148
254
593
930
533
1,092
788
247
134
2
¥0.8
0.0
0.0
¥0.5
¥0.2
¥0.5
¥0.5
1.2
¥0.3
1.1
¥3.1
¥3.3
¥3.1
¥3.1
¥3.1
¥3.3
¥3.1
¥3.2
¥3.2
¥3.9
¥1.8
¥1.2
¥1.0
¥1.5
¥1.2
¥1.6
¥1.4
0.1
¥1.3
¥0.7
652
11,302
3,353
¥0.2
0.0
0.1
¥3.5
¥3.2
¥3.4
¥1.5
¥1.1
¥1.1
Note: The Total column includes the 2.2 percent market basket increase.
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CMIs
(percent)
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Table 17b shows the estimated effects
for the FY 2011 distributional changes
due to the proposed RUG–IV
classification system. Though the
aggregate impact shows no change in
total payments, it is estimated that some
facilities will experience payment
increases while others experience
payment decreases due to the Medicare
utilization under RUG–IV. For example,
providers in the urban New England
and urban Middle Atlantic regions show
increases of 1.3 percent, while providers
in the rural East North Central region
show a decrease of 1.5 percent. In
addition, voluntary providers show an
increase of 0.2 percent, while there is no
change for proprietary facilities in
aggregate.
TABLE 17B—PROJECTED IMPACT OF RUG–IV FOR FY 2011
Number of
facilities
Total .......................................................................................................................................................................
Urban .....................................................................................................................................................................
Rural ......................................................................................................................................................................
Hospital based urban .............................................................................................................................................
Freestanding urban ................................................................................................................................................
Hospital based rural ...............................................................................................................................................
Freestanding rural ..................................................................................................................................................
Urban by region:
New England ..................................................................................................................................................
Middle Atlantic ................................................................................................................................................
South Atlantic .................................................................................................................................................
East North Central ..........................................................................................................................................
East South Central .........................................................................................................................................
West North Central .........................................................................................................................................
West South Central ........................................................................................................................................
Mountain .........................................................................................................................................................
Pacific .............................................................................................................................................................
Outlying ...........................................................................................................................................................
Rural by region:
New England ..................................................................................................................................................
Middle Atlantic ................................................................................................................................................
South Atlantic .................................................................................................................................................
East North Central ..........................................................................................................................................
East South Central .........................................................................................................................................
West North Central .........................................................................................................................................
West South Central ........................................................................................................................................
Mountain .........................................................................................................................................................
Pacific .............................................................................................................................................................
Outlying ...........................................................................................................................................................
Ownership:
Government ....................................................................................................................................................
Proprietary ......................................................................................................................................................
Voluntary .........................................................................................................................................................
RUG–IV
(percent)
15,443
10,516
4,927
609
9,907
426
4,501
0.0
0.3
¥0.8
¥1.4
0.4
¥0.8
¥0.8
833
1,479
1,724
2,018
523
864
1,169
472
1,427
7
1.3
1.3
¥0.6
0.0
1.2
0.1
0.9
¥0.5
0.2
0.5
155
270
622
945
557
1,123
846
265
144
0
¥1.3
0.6
¥0.9
¥1.5
¥0.1
¥0.2
¥1.2
¥0.9
¥1.1
0.0
840
10,539
4,064
1.4
0.0
0.2
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Note: The wage index column is not included for FY 2011, as the FY 2011 wage index is unknown. In addition, the Total column is not included for FY 2011, as the market basket is unknown.
Comment: Several commenters
expressed concern that the proposed
RUG–IV case-mix classification system
would adversely affect them from a
fiscal standpoint. One commenter
specifically cited the proposal to
allocate concurrent therapy and the
change in the method to calculate the
ADL index.
Response: The aggregate impact of the
RUG–IV case-mix classification is
budget neutral. We caution providers on
determining the fiscal impact of RUG–
IV based on only one or two areas of the
entire system. Although we are making
changes to the ADL index and allocation
of concurrent therapy, the total payment
rate is based on the combination of the
nursing and therapy components. Total
payment rates for therapy groups are not
projected to decrease. Even after we
consider that many patients will fall
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into lower rehabilitation RUGs under
the allocation of concurrent therapy,
because of the increase to the nursing
CMIs to adjust for parity, total payment
rates may actually be higher under
RUG–IV for some comparable patients.
We realize that there are distributional
effects determined by an individual
provider’s case-mix utilization and
some providers will be negatively
affected. In examining the impacts
presented in the table above for FY
2011, there are subsets of providers that
are positively affected and other subsets
that are negatively affected. However, in
looking at large subsets such as the
ownership type, proprietary owners are
expected to be budget neutral, whereas
voluntary providers are expected to see
a slight increase in payments (0.2
percent) compared to RUG–III.
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Another effect of the introduction of
the RUG–IV model is a re-distribution of
dollars between payment groups that
focus on rehabilitation in contrast to
those focused primarily on nursing
services. In order to further understand
the changes to specific provider types
and case-mix, we evaluated the
individual effect on the nursing and
therapy portion of total payments. Table
18 shows the nursing and therapy
percentage change as a portion of total
payments by comparing the nursing and
therapy rate components using the
RUG–III CMIs and RUG–IV CMIs. As
shown in Table 18, although hospitalbased facilities do not show as large an
increase in the nursing portion of total
payments, they also show a slightly
smaller decrease in the therapy portion
of their payments. We expect that
facilities providing more intensive
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nursing services will show increases in
40361
payments under the proposed RUG–IV
model.
TABLE 18—PERCENTAGE CHANGE IN PAYMENT FOR THE NURSING AND THERAPY COMPONENTS
Urban
(percent)
Rate component
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Nursing CMIs—Freestanding ..............................................................................................................................................
Nursing CMIs—Hospital-Based ...........................................................................................................................................
Therapy CMIs—Freestanding ..............................................................................................................................................
Therapy CMIs—Hospital-Based ..........................................................................................................................................
We further note that while this
analysis is focused primarily on the
anticipated impact to the Medicare
program, we understand that States are
also concerned about potential systems
needs to address the transition to the
MDS 3.0 and the RUG–IV case-mix
system. Although our systems analysis
showed that the transition to a national
CMS data collection system would
retain all existing functionality, we have
been working closely with the State
Agencies (SAs) to verify that the
transition will be as seamless as
possible. Starting in the Fall of 2008, we
initiated monthly conference calls
between CMS staff and representatives
from the State Survey and Medicaid
agencies to make sure that we have
taken all State systems needs into
account, and to develop strategies to
support the SAs. Our progress has been
hampered by three factors. First, many
States have developed MDS-based
applications to support a variety of State
functions beyond the typical survey and
payment operations. We are developing
a comprehensive list of all affected State
functions currently using the MDS so
we can develop ways for the States to
access the data once we adopt the MDS
3.0 format. Second, most States have
customized their Medicaid payment
systems, which means that potential
CMS data solutions cannot utilize a
‘‘one size fits all’’ approach.
The third issue is that the majority of
the States have not yet reached a final
decision on the payment system
changes they will implement in October
2010. Some States will maintain their
existing RUG–III payment systems and
will simply need support to convert
MDS 3.0 data into an MDS 2.0 format to
continue calculating their Medicaid
payments. Other States are considering
adopting all or part of the RUG–IV
model, and will need more extensive
support.
We recently conducted a survey
asking each State to identify their likely
transition scenarios and system costs
and are beginning to analyze the
information provided. We will continue
to work with individual States and will
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develop a comprehensive transition
plan that will include an analysis of the
systems costs likely to be incurred
under each transition approach; that is,
maintaining a standard RUG–III
payment structure, maintaining a
customized RUG–III structure, and
adopting all or part of RUG–IV.
For those States that will maintain
their existing RUG–III based payment
models, we have already started work
on support systems that will allow
States to convert or crosswalk the MDS
3.0 data to the current MDS 2.0
structure. The data specifications for
these crosswalks are expected to be
released by October 2010. We plan to
work closely with the States to ensure
a smooth transition.
State Medicaid agencies are not
required to adopt the RUG–IV model
and will only do so after careful
consideration of the cost and benefit of
such a change on an individual Stateby-State basis. For those States choosing
to adopt the RUG–IV model, CMS
provides detailed program
specifications free of charge, which will
mitigate State program design costs
associated with converting from RUG–
III to RUG–IV. We intend to continue to
work closely with State Medicaid
agencies during the next year to assist
them in evaluating the RUG–IV model
for Medicaid use.
C. Alternatives Considered
We have determined that this final
rule is an economically significant rule
under Executive Order 12866. As
described above, we estimate the FY
2010 impact will be a net decrease of
$360 million in payments to SNFs,
resulting from a $690 million increase
from the update to the payment rates
and a $1.05 billion reduction from the
recalibration of the case-mix
adjustment. In view of the potential
economic impact, we considered the
alternatives described below.
Section 1888(e) of the Act establishes
the SNF PPS for the payment of
Medicare SNF services for cost reporting
periods beginning on or after July 1,
1998. This section of the statute
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21.8
11.0
¥41.5
¥41.1
Rural
(percent)
20.7
11.6
¥41.2
¥40.7
prescribes a detailed formula for
calculating payment rates under the
SNF PPS, and does not provide for the
use of any alternative methodology. It
specifies that the base year cost data to
be used for computing the SNF PPS
payment rates must be from FY 1995
(October 1, 1994, through September 30,
1995). In accordance with the statute,
we also incorporated a number of
elements into the SNF PPS (for example,
case-mix classification methodology, the
MDS assessment schedule, a market
basket index, a wage index, and the
urban and rural distinction used in the
development or adjustment of the
Federal rates). Furthermore, section
1888(e)(4)(H) of the Act specifically
requires us to disseminate the payment
rates for each new FY through the
Federal Register, and to do so before the
August 1 that precedes the start of the
new FY. Accordingly, we are not
pursuing alternatives with respect to the
payment methodology as discussed
above. However, in view of the potential
economic impact on small entities, we
have voluntarily considered alternative
approaches to the recalibration of the
case-mix adjustments.
Using our authority to establish an
appropriate adjustment for case mix
under section 1888(e)(4)(G)(i) of the Act,
this final rule recalibrates the
adjustment to the nursing case-mix
indexes based on actual CY 2006 data
instead of FY 2001 data. In the SNF PPS
final rule for FY 2006 (70 FR 45031,
August 4, 2005), we committed to
monitoring the accuracy and
effectiveness of the case-mix indexes
used in the 53-group model. We believe
that using the CY 2006 actual claims
data to perform the recalibration
analysis results in case-mix weights that
reflect the resources used, produces
more accurate payment, and represents
an appropriate case-mix adjustment.
Using the CY 2006 data is consistent
with our intent to make the change from
the 44-group RUG model to the refined
53-group model in a budget-neutral
manner, as described in section III.B.2.b
of this final rule and in the SNF PPS
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final rule for FY 2006 (70 FR 45031,
August 4, 2005).
We investigated using alternative time
periods in calculating the case-mix
adjustments. One possibility was to use
CY 2005 rather than CY 2006 data.
However, using CY 2005 data still
requires us to use a projection of the
distributional shift to the nine new
groups in the RUG–53 group model. We
also looked at a second alternative,
which involved comparing quarterly
data periods directly before and after
implementation of the RUG–53 model;
for example, October through December
2005 for the RUG–44 model and January
through March 2006 for the RUG–53
model. This approach uses a
combination of projected and actual
data for only a 6-month time period.
However, we believe that using actual
utilization data for the entire CY 2006
is more accurate, as actual case mix
during the calibration year is the basis
for computing the case-mix adjustment.
Accordingly, we have determined that
performing the recalibration using the
CY 2006 data is the most appropriate
methodology.
We considered various options for
implementing the recalibrated case-mix
adjustment. For example, we considered
implementing partial adjustments to the
case-mix indexes over multiple years
until parity was achieved. However, we
believe that these options would
continue to reimburse in amounts that
significantly exceed our intended
policy. Moreover, as we move forward
with programs designed to enhance and
restructure our post-acute care payment
systems, we believe that payments
under the SNF PPS should be
established at their intended and most
appropriate levels. Stabilizing the
baseline is a necessary first step toward
implementing the RUG–IV classification
methodology. As discussed in section
III.C.2 of this final rule, RUG–IV will
more accurately identify differences in
patient acuity and will more closely tie
reimbursement to the relative cost of
goods and services needed to provide
high quality care.
We believe the introduction of the
RUG–IV classification system better
targets payments for beneficiaries with
greater care needs, improving the
accuracy of Medicare payment. In
addition, RUG–IV changes such as
eliminating the ‘‘look-back’’ period for
preadmission services correct for
existing vulnerabilities in the RUG–53
system. Therefore, we believe it would
be prudent to move to RUG–IV as
quickly as possible. However, we also
recognize the need to allow sufficient
lead time to ensure an orderly and
successful transition. Accordingly,
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while we initially considered
implementing the RUG–IV model for FY
2010, we are instead implementing the
system for FY 2011. Many of the
refinements of the RUG–IV model are
integrated into the MDS 3.0 resident
assessment instrument. The transition to
both the MDS 3.0 and the RUG–IV casemix system requires careful planning, as
it will affect multiple Medicare and
Medicaid quality monitoring and
production systems, including Medicaid
PPS systems used by more than half the
State agencies. In addition, State
agencies, providers, and software
vendors would benefit by receiving
adequate time to prepare for a smooth
transition. Therefore, we plan to
implement RUG–IV for FY 2011.
Comment: One commenter expressed
concern that hierarchical maximization,
instead of index maximization, was
used to estimate the distribution of
RUG–IV days.
Response: We agree with the
commenter that an index maximization
approach provides the best estimation of
the RUG–IV days of service distribution.
The reason for this is that when RUG–
IV is implemented for payment, an
index maximizing approach will be
used. However, use of RUG–IV
hierarchical classification rather than
index maximizing classification has
very little impact on the fiscal estimates
and simplified the work that was
required to make those estimates.
The final fiscal estimates are based on
the distribution of RUG–IV days
obtained by applying the STRIVE
transition matrix that cross-tabulated
RUG–III classifications with RUG–IV
classifications for STRIVE Medicare Part
A residents. The RUG–III classification
used index maximizing, but the RUG–IV
classification used a hierarchical
approach. Grouper code allowing RUG–
IV index maximizing classification has
not yet been developed and tested and,
therefore, it was not possible to use the
index maximizing approach for RUG–IV
at this time.
When making fiscal estimates, it is
absolutely critical that index
maximizing be used for RUG–III. Index
maximizing causes major shifts in the
days of service for RUG–III. Most
importantly, with index maximizing,
some residents in RVL and all residents
in RHX and RHL shift to either RMX or
RML. In contrast, the use of index
maximizing RUG–IV classification has
very little impact on the fiscal estimates,
because fewer residents will shift into
other groups after index maximizing.
With RUG–IV, index maximizing will
only affect rare groups, and not all
residents in a group will shift to another
group. Analyses indicate that the
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maximum possible impact of RUG–IV
index maximizing would be a 0.23
percent increase in total estimated
RUG–IV payments. The actual impact is
likely to be much less, probably 0.1
percent or less.
Comment: Several commenters
expressed concern that the proposed
rule’s regulatory impact analysis
significantly underestimated the total
economic impact of the proposed policy
changes, citing secondary effects such as
indirect job losses and loss of tax
revenue to the States.
Response: As indicated in the impact
analysis, the changes due to the
recalibration of the CMIs are expected to
result in a net decrease in Medicare
payments to SNFs of about 3.3 percent.
This estimate represents the direct
impact on SNFs and does not include
any of the ‘‘indirect,’’ ‘‘induced,’’ or
‘‘ripple’’ effects that are raised by the
commenters. Such secondary effects are
extremely difficult to model and are
highly uncertain as a result. Based on
this uncertainty and the relatively small
percentage of aggregate SNF revenues
(from all payers) affected by this
reduction, we cannot conclude with
confidence that there will be significant
impacts beyond those that are already
described in the rule. Additionally,
because these types of secondary effects
are occurring within a dynamic, marketbased economy, it is our expectation
that the market will properly adjust its
economic resources in reaction to the
appropriately recalibrated SNF PPS
payments. For these reasons, we believe
that the regulatory impact analysis
adequately estimates the proposed rule’s
economic impact.
Comment: A few commenters said
that they could not fully evaluate the
impact of RUG–IV because CMS failed
to provide the FY 2011 market basket
and wage index.
Response: Although the FY 2011
market basket and wage index are
required to set the final FY 2011
payment rates, they are not necessary to
evaluate the impact of RUG–IV. As
discussed previously in this section,
impacts are evaluated by determining
the effect on payments of each policy
change while holding all other paymentrelated variables constant. The market
basket for FY 2011 will have the same
impact for all providers. The FY 2011
wage index will produce the same
distributional effect due to changes in
wage data, regardless of the
classification system. Thus, the market
basket and wage index have no effect on
the RUG–IV policy.
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D. Accounting Statement
prepared an accounting statement
showing the classification of the
expenditures associated with the
provisions of this final rule. This table
provides our best estimate of the change
in Medicare payments under the SNF
As required by OMB Circular A–4
(available at https://
www.whitehouse.gov/omb/circulars/
a004/a-4.pdf), in Table 19, we have
40363
PPS as a result of the policies in this
final rule based on the data for 15,307
SNFs in our database. All expenditures
are classified as transfers from Medicare
providers (that is, SNFs).
TABLE 19—ACCOUNTING STATEMENT: CLASSIFICATION OF ESTIMATED EXPENDITURES, FROM THE 2009 SNF PPS FISCAL
YEAR TO THE 2010 SNF PPS FISCAL YEAR
Category
Transfers
Annualized Monetized Transfers ....................................................................................................................................
From Whom To Whom? .................................................................................................................................................
¥$360 million. *
Federal Government to
SNF Medicare Providers.
* The net decrease of $360 million in transfer payments is a result of the decrease of $1.05 billion due to the recalibration of the case-mix adjustment, together with the market basket increase of $690 million.
E. Conclusion
Overall estimated payments for SNFs
in FY 2010 are projected to decrease by
$360 million, or 1.1 percent, compared
with those in FY 2009. We estimate that
SNFs in urban areas would experience
a 1.1 percent decrease in estimated
payments compared with FY 2009. We
estimate that SNFs in rural areas would
experience a 1.3 percent decrease in
estimated payments compared with FY
2009. Providers in the rural New
England region would show decreases
in payments of 1.8 percent, the highest
decreases for any region. This area
shows the largest decrease in payments
due to the wage index.
Though the FY 2011 aggregate impact
due to the introduction of the RUG–IV
model shows no change in payments,
there are distributional effects for
providers due to Medicare utilization.
These effects range from a decrease of
1.5 percent for Rural East North Central
facilities to an increase of 1.4 percent for
Government facilities.
Finally, in accordance with the
provisions of Executive Order 12866,
this regulation was reviewed by the
Office of Management and Budget.
List of Subjects in 42 CFR Part 483
Grants programs—health, Health
facilities, Health professions, Health
records, Medicaid, Medicare, Nursing
homes, Nutrition, Reporting and
recordkeeping requirements, Safety.
For the reasons set forth in the
preamble, the Centers for Medicare &
Medicaid Services amends 42 CFR
chapter IV as set forth below:
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■
PART 483—REQUIREMENTS FOR
STATES AND LONG TERM CARE
FACILITIES
1. The authority citation for part 483
continues to read as follows:
■
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Authority: Secs. 1102 and 1871 of the
Social Security Act (42 U.S.C. 1302 and
1395hh).
■
Subpart B—Requirements for Long
Term Care Facilities
§ 483.75
2. Amend § 483.20 by—
A. Republishing paragraph (b)(1)
introductory text.
■ B. Revising paragraph (b)(1)(xvii).
■ C. Revising paragraph (f)(2).
■ D. Revising paragraph (f)(3)
introductory text.
The revisions read as follows:
Subpart F—Requirements that Must be
Met by States and State Agencies,
Resident Assessment
■
■
§ 483.20
Resident assessment.
*
*
*
*
*
(b) Comprehensive assessment—(1)
Resident assessment instrument. A
facility must make a comprehensive
assessment of a resident’s needs, using
the resident assessment instrument
(RAI) specified by the State. The
assessment must include at least the
following:
*
*
*
*
*
(xvii) Documentation of summary
information regarding the additional
assessment performed on the care areas
triggered by the completion of the
Minimum Data Set (MDS).
*
*
*
*
*
(f) * * *
(2) Transmitting data. Within 7 days
after a facility completes a resident’s
assessment, a facility must be capable of
transmitting to the CMS System
information for each resident contained
in the MDS in a format that conforms to
standard record layouts and data
dictionaries, and that passes
standardized edits defined by CMS and
the State.
(3) Transmittal requirements. Within
14 days after a facility completes a
resident’s assessment, a facility must
electronically transmit encoded,
accurate, and complete MDS data to the
CMS System, including the following:
*
*
*
*
*
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3. Amend § 483.75 by revising the
heading of paragraph (j) to read as
follows:
Administration.
*
*
*
*
*
(j) Laboratory services. * * *
*
*
*
*
*
4. Amend § 483.315 by—
A. Revising paragraph (d)(2).
B. Revising paragraph (e).
C. Removing and reserving paragraph
(f).
■ D. Revising paragraph (h).
■ E. Revising paragraph (i) introductory
text.
■ F. Revising paragraph (i)(2).
The revisions read as follows:
■
■
■
■
§ 483.315 Specification of resident
assessment instrument.
*
*
*
*
*
(d) * * *
(2) Care area assessment (CAA)
guidelines and care area triggers (CATs)
that are necessary to accurately assess
residents, established by CMS.
*
*
*
*
*
(e) Minimum data set (MDS). The
MDS includes assessment in the areas
specified in § 483.20(b)(i) through (xviii)
of this chapter, and as defined in the
RAI manual published in the State
Operations Manual issued by CMS
(CMS Pub. 100–07).
*
*
*
*
*
(h) State MDS system and database
requirements. As part of facility agency
responsibilities, the State Survey
Agency must:
(1) Support and maintain the CMS
State system and database.
(2) Specify to a facility the method of
transmission of data, and instruct the
facility on this method.
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(3) Upon receipt of facility data from
CMS, ensure that a facility resolves
errors.
(4) Analyze data and generate reports,
as specified by CMS.
(i) State identification of agency that
receives RAI data. The State must
identify the component agency that
receives RAI data, and ensure that this
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agency restricts access to the data except
for the following:
*
*
*
*
*
(2) Transmission of reports to CMS.
*
*
*
*
*
(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 23, 2009.
Charlene Frizzera,
Acting Administrator, Centers for Medicare
& Medicaid Services.
Approved: July 29, 2009.
Kathleen Sebelius,
Secretary.
BILLING CODE 4120–01–P
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Agencies
[Federal Register Volume 74, Number 153 (Tuesday, August 11, 2009)]
[Rules and Regulations]
[Pages 40288-40395]
From the Federal Register Online via the Government Printing Office [www.gpo.gov]
[FR Doc No: E9-18662]
[[Page 40287]]
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Part II
Department of Health and Human Services
-----------------------------------------------------------------------
Centers for Medicare & Medicaid Services
-----------------------------------------------------------------------
42 CFR Part 483
Medicare Program; Prospective Payment System and Consolidated Billing
for Skilled Nursing Facilities for FY 2010; Minimum Data Set, Version
3.0 for Skilled Nursing Facilities and Medicaid Nursing Facilities;
Final Rule
Federal Register / Vol. 74, No. 153 / Tuesday, August 11, 2009 /
Rules and Regulations
[[Page 40288]]
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DEPARTMENT OF HEALTH AND HUMAN SERVICES
Centers for Medicare & Medicaid Services
42 CFR Part 483
[CMS-1410-F]
RIN 0938-AP46
Medicare Program; Prospective Payment System and Consolidated
Billing for Skilled Nursing Facilities for FY 2010; Minimum Data Set,
Version 3.0 for Skilled Nursing Facilities and Medicaid Nursing
Facilities
AGENCY: Centers for Medicare & Medicaid Services (CMS), HHS.
ACTION: Final rule.
-----------------------------------------------------------------------
SUMMARY: This final rule updates the payment rates used under the
prospective payment system (PPS) for skilled nursing facilities (SNFs),
for fiscal year (FY) 2010. In addition, it recalibrates the case-mix
indexes so that they more accurately reflect parity in expenditures
related to the implementation of case-mix refinements in January 2006.
It also discusses the results of our ongoing analysis of nursing home
staff time measurement data collected in the Staff Time and Resource
Intensity Verification project, as well as a new Resource Utilization
Groups, version 4 case-mix classification model for FY 2011 that will
use the updated Minimum Data Set 3.0 resident assessment for case-mix
classification. In addition, this final rule discusses the public
comments that we have received on these and other issues, including a
possible requirement for the quarterly reporting of nursing home
staffing data, as well as on applying the quality monitoring mechanism
in place for all other SNF PPS facilities to rural swing-bed hospitals.
Finally, this final rule revises the regulations to incorporate certain
technical corrections.
DATES: Effective Date: This final rule becomes effective on October 1,
2009.
FOR FURTHER INFORMATION CONTACT: Ellen Berry, (410) 786-4528 (for
information related to clinical issues). Trish Brooks, (410) 786-4561
(for information related to Resident Assessment Protocols (RAPs) under
the Minimum Data Set (MDS)). Jeanette Kranacs, (410) 786-9385 (for
information related to the development of the payment rates and case-
mix indexes). Abby Ryan, (410) 786-4343 (for information related to the
STRIVE project). Jean Scott, (410) 786-6327 (for information related to
the request for comment on the possible quarterly reporting of nursing
home staffing data). Bill Ullman, (410) 786-5667 (for information
related to level of care determinations, consolidated billing, and
general information).
SUPPLEMENTARY INFORMATION: To assist readers in referencing sections
contained in this document, we are providing the following Table of
Contents.
Table of Contents
I. Background
A. Current System for Payment of SNF Services Under Part A of
the Medicare Program
B. Requirements of the Balanced Budget Act of 1997 (BBA) for
Updating the Prospective Payment System for Skilled Nursing
Facilities
C. The Medicare, Medicaid, and SCHIP Balanced Budget Refinement
Act of 1999 (BBRA)
D. The Medicare, Medicaid, and SCHIP Benefits Improvement and
Protection Act of 2000 (BIPA)
E. The Medicare Prescription Drug, Improvement, and
Modernization Act of 2003 (MMA)
F. Skilled Nursing Facility Prospective Payment--General
Overview
1. Payment Provisions--Federal Rate
2. FY 2010 Rate Updates Using the Skilled Nursing Facility
Market Basket Index
II. Summary of the Provisions of the FY 2010 Proposed Rule
III. Analysis of and Responses to Public Comments on the FY 2010
Proposed Rule
A. General Comments on the FY 2010 Proposed Rule
B. Annual Update of Payment Rates Under the Prospective Payment
System for Skilled Nursing Facilities
1. Federal Prospective Payment System
a. Costs and Services Covered by the Federal Rates
b. Methodology Used for the Calculation of the Federal Rates
2. Case-Mix Adjustments
a. Background
b. Development of the Case-Mix Indexes
3. Wage Index Adjustment to Federal Rates
4. Updates to Federal Rates
5. Relationship of RUG-III Classification System to Existing
Skilled Nursing Facility Level-of-Care Criteria
6. Example of Computation of Adjusted PPS Rates and SNF Payment
C. Resource Utilization Groups, Version 4 (RUG-IV)
1. Staff Time and Resource Intensity Verification (STRIVE)
Project
a. Data Collection
b. Developing the Analytical Database
i. Concurrent Therapy
ii. Adjustments to STRIVE Therapy Minutes
iii. ADL Adjustments
iv. ``Look-Back'' Period
v. Organizing the Nursing and Therapy Minutes
vi. Data Dissemination
2. The RUG-IV Classification System
3. Development of the FY 2011 Case-Mix Indexes
4. Relationship of RUG-IV Classification System to Existing
Skilled Nursing Facility Level-of-Care Criteria
5. Prospective Payment for SNF Nontherapy Ancillary Costs
D. Minimum Data Set, Version 3.0 (MDS 3.0)
1. Description of the MDS 3.0
2. MDS Elements, Common Definitions, and Resident Assessment
Protocols (RAPs) Used Under the MDS
3. Data Submission Requirements Under the MDS 3.0
4. Proposed Change to Section T of the Resident Assessment
Instrument (RAI) Under the MDS 3.0
E. Other Issues
1. Invitation of Comments on Possible Quarterly Reporting of
Nursing Home Staffing Data
2. Miscellaneous Technical Corrections and Clarifications
F. The Skilled Nursing Facility Market Basket Index
1. Use of the Skilled Nursing Facility Market Basket Percentage
2. Market Basket Forecast Error Adjustment
3. Federal Rate Update Factor
G. Consolidated Billing
H. Application of the SNF PPS to SNF Services Furnished by
Swing-Bed Hospitals; Quality Monitoring of Swing-Bed Hospitals
IV. Provisions of the Final Rule
V. Collection of Information Requirements
VI. Regulatory Impact Analysis
A. Overall Impact
B. Anticipated Effects
C. Alternatives Considered
D. Accounting Statement
E. Conclusion
Regulation Text
Addendum: FY 2010 CBSA-Based Wage Index Tables (Tables A & B) RUG-
III to RUG-IV Comparison (Table C)
Abbreviations
In addition, because of the many terms to which we refer by
abbreviation in this final rule, we are listing these abbreviations and
their corresponding terms in alphabetical order below:
ADLs Activities of Daily Living
AIDS Acquired Immune Deficiency Syndrome
AOTA American Occupational Therapy Association
APTA American Physical Therapy Association
ARD Assessment Reference Date
ASHA American Speech-Language-Hearing Association
BBA Balanced Budget Act of 1997, Public Law 105-33
BBRA Medicare, Medicaid, and SCHIP Balanced Budget Refinement Act of
1999, Public Law 106-113
BIMS Brief Interview for Mental Status
BIPA Medicare, Medicaid, and SCHIP Benefits Improvement and
Protection Act of 2000, Public Law 106-554
CAA Care Area Assessment
CAH Critical Access Hospital
[[Page 40289]]
CAM Confusion Assessment Method
CARE Continuity Assessment Record and Evaluation
CAT Care Area Trigger
CBSA Core-Based Statistical Area
CFR Code of Federal Regulations
CMI Case-Mix Index
CMS Centers for Medicare & Medicaid Services
CMSO Center for Medicaid and State Operations
DRA Deficit Reduction Act of 2005, Public Law 109-171
DSM-IV Diagnostic and Statistical Manual of Mental Disorders, 4th
Revision
FQHC Federally Qualified Health Center
FR Federal Register
FY Fiscal Year
GAO Government Accountability Office
HCPCS Healthcare Common Procedure Coding System
HHA Home Health Agency
HIPPS Health Insurance Prospective Payment System
HIT Health Information Technology
HIV Human Immunodeficiency Virus
IFC Interim Final Rule with Comment Period
IPPS Hospital Inpatient Prospective Payment System
IRF Inpatient Rehabilitation Facility
LTCH Long-Term Care Hospital
MAC Medicare Administrative Contractor
MMACS Medicare/Medicaid Automated Certification System
MDS Minimum Data Set
MIPPA Medicare Improvements for Patients and Providers Act of 2008,
Public Law 110-275
MMA Medicare Prescription Drug, Improvement, and Modernization Act
of 2003, Public Law 108-173
MMSEA Medicare, Medicaid, and SCHIP Extension Act of 2007, Public
Law 110-173
MSA Metropolitan Statistical Area
MS-DRG Medicare Severity Diagnosis-Related Group
NCQA National Committee for Quality Assurance
NF Nursing Facility
NRST Non-Resident Specific Time
NTA Non-Therapy Ancillary
OIG Office of the Inspector General
OMB Office of Management and Budget
OMRA Other Medicare Required Assessment
OSCAR Online Survey Certification and Reporting System
PAC Post-Acute Care
PHQ-9 9-Item Patient Health Questionnaire
PPS Prospective Payment System
QM Quality Measure
RAI Resident Assessment Instrument
RAND RAND Corporation
RAP Resident Assessment Protocol
RAVEN Resident Assessment Validation Entry
RFA Regulatory Flexibility Act, Public Law 96-354
RHC Rural Health Clinic
RIA Regulatory Impact Analysis
RST Resident Specific Time
RUG-III Resource Utilization Groups, Version 3
RUG-IV Resource Utilization Groups, Version 4
RUG-53 Refined 53-Group RUG-III Case-Mix Classification System
SCHIP State Children's Health Insurance Program
SNF Skilled Nursing Facility
SOM State Operations Manual
STM Staff Time Measurement
STRIVE Staff Time and Resource Intensity Verification
TEP Technical Expert Panel
UMRA Unfunded Mandates Reform Act, Public Law 104-4
I. Background
On May 12, 2009, we published a proposed rule (74 FR 22208) in the
Federal Register (hereafter referred to as the FY 2010 proposed rule),
setting forth updates to the payment rates used under the prospective
payment system (PPS) for skilled nursing facilities (SNFs), for fiscal
year (FY) 2010. Annual updates to the PPS rates for SNFs are required
by section 1888(e) of the Social Security Act (the Act), as added by
section 4432 of the Balanced Budget Act of 1997 (BBA) (Pub. L. 105-33,
enacted on August 5, 1997), and amended by the Medicare, Medicaid, and
State Children's Health Insurance Program (SCHIP) Balanced Budget
Refinement Act of 1999 (BBRA) (Pub. L. 106-113, enacted on November 29,
1999), the Medicare, Medicaid, and SCHIP Benefits Improvement and
Protection Act of 2000 (BIPA) (Pub. L. 106-554, enacted on December 21,
2000), and the Medicare Prescription Drug, Improvement, and
Modernization Act of 2003 (MMA) (Pub. L. 108-173, enacted on December
8, 2003). Our most recent annual update occurred in a final rule (73 FR
46416, August 8, 2008) that set forth updates to the SNF PPS payment
rates for FY 2009. We subsequently published a correction notice (73 FR
56998, October 1, 2008) with respect to those payment rate updates.
A. Current System for Payment of Skilled Nursing Facility Services
Under Part A of the Medicare Program
Section 4432 of the BBA amended section 1888 of the Act to provide
for the implementation of a per diem PPS for SNFs, covering all costs
(routine, ancillary, and capital-related) of covered SNF services
furnished to beneficiaries under Part A of the Medicare program,
effective for cost reporting periods beginning on or after July 1,
1998. In this final rule, we are updating the per diem payment rates
for SNFs for FY 2010. Major elements of the SNF PPS include:
Rates. As discussed in section I.F.1 of this final rule,
we established per diem Federal rates for urban and rural areas using
allowable costs from FY 1995 cost reports. These rates also included a
``Part B add-on'' (an estimate of the cost of those services that,
before July 1, 1998, were paid under Part B but furnished to Medicare
beneficiaries in a SNF during a Part A covered stay). We adjust the
rates annually using a SNF market basket index, and we adjust them by
the hospital inpatient wage index to account for geographic variation
in wages. We also apply a case-mix adjustment to account for the
relative resource utilization of different patient types. This
adjustment utilizes a refined, 53-group version of the Resource
Utilization Groups, version 3 (RUG-III) case-mix classification system,
based on information obtained from the required resident assessments
using the Minimum Data Set (MDS) 2.0. Additionally, as noted in the
final rule for FY 2006 (70 FR 45028, August 4, 2005), the payment rates
at various times have also reflected specific legislative provisions,
including section 101 of the BBRA, sections 311, 312, and 314 of the
BIPA, and section 511 of the MMA.
Transition. Under sections 1888(e)(1)(A) and (e)(11) of
the Act, the SNF PPS included an initial, three-phase transition that
blended a facility-specific rate (reflecting the individual facility's
historical cost experience) with the Federal case-mix adjusted rate.
The transition extended through the facility's first three cost
reporting periods under the PPS, up to and including the one that began
in FY 2001. Thus, the SNF PPS is no longer operating under the
transition, as all facilities have been paid at the full Federal rate
effective with cost reporting periods beginning in FY 2002. As we now
base payments entirely on the adjusted Federal per diem rates, we no
longer include adjustment factors related to facility-specific rates
for the coming FY.
Coverage. The establishment of the SNF PPS did not change
Medicare's fundamental requirements for SNF coverage. However, because
the RUG-III classification is based, in part, on the beneficiary's need
for skilled nursing care and therapy, we have attempted, where
possible, to coordinate claims review procedures with the existing
resident assessment process and case-mix classification system. This
approach includes an administrative presumption that utilizes a
beneficiary's initial classification in one of the upper 35 RUGs of the
refined 53-group system to assist in making certain SNF level of care
determinations. In the July 30, 1999 final rule (64 FR 41670), we
indicated that we would announce any changes to the guidelines for
Medicare level of care determinations related to modifications
[[Page 40290]]
in the RUG-III classification structure (see section III.B.5 of this
final rule for a discussion of the relationship between the current
case-mix classification system and SNF level of care determinations,
and section III.C.4 for a discussion of this process in the context of
the upcoming conversion to version 4 of the RUGs (RUG-IV)).
Consolidated Billing. The SNF PPS includes a consolidated
billing provision that requires a SNF to submit consolidated Medicare
bills to its fiscal intermediary or Medicare Administrative Contractor
for almost all of the services that its residents receive during the
course of a covered Part A stay. In addition, this provision places
with the SNF the Medicare billing responsibility for physical,
occupational, and speech-language therapy that the resident receives
during a noncovered stay. The statute excludes a small list of services
from the consolidated billing provision (primarily those of physicians
and certain other types of practitioners), which remain separately
billable under Part B when furnished to a SNF's Part A resident. A more
detailed discussion of this provision appears in section III.G of this
final rule.
Application of the SNF PPS to SNF services furnished by
swing-bed hospitals. Section 1883 of the Act permits certain small,
rural hospitals to enter into a Medicare swing-bed agreement, under
which the hospital can use its beds to provide either acute or SNF
care, as needed. For critical access hospitals (CAHs), Part A pays on a
reasonable cost basis for SNF services furnished under a swing-bed
agreement. However, in accordance with section 1888(e)(7) of the Act,
these services furnished by non-CAH rural hospitals are paid under the
SNF PPS, effective with cost reporting periods beginning on or after
July 1, 2002. A more detailed discussion of this provision appears in
section III.H of this final rule.
B. Requirements of the Balanced Budget Act of 1997 (BBA) for Updating
the Prospective Payment System for Skilled Nursing Facilities
Section 1888(e)(4)(H) of the Act requires that we provide for
publication annually in the Federal Register:
1. The unadjusted Federal per diem rates to be applied to days of
covered SNF services furnished during the upcoming FY.
2. The case-mix classification system to be applied with respect to
these services during the upcoming FY.
3. The factors to be applied in making the area wage adjustment
with respect to these services.
Along with other revisions discussed later in this preamble, this
final rule provides these required annual updates to the Federal rates.
C. The Medicare, Medicaid, and SCHIP Balanced Budget Refinement Act of
1999 (BBRA)
There were several provisions in the BBRA that resulted in
adjustments to the SNF PPS. We described these provisions in detail in
the SNF PPS final rule for FY 2001 (65 FR 46770, July 31, 2000). In
particular, section 101(a) of the BBRA provided for a temporary 20
percent increase in the per diem adjusted payment rates for 15
specified RUG-III groups. In accordance with section 101(c)(2) of the
BBRA, this temporary payment adjustment expired on January 1, 2006,
upon the implementation of case-mix refinements (see section I.F.1. of
this final rule). We included further information on BBRA provisions
that affected the SNF PPS in Program Memorandums A-99-53 and A-99-61
(December 1999).
Also, section 103 of the BBRA designated certain additional
services for exclusion from the consolidated billing requirement, as
discussed in greater detail in section III.G of this final rule.
Further, for swing-bed hospitals with more than 49 (but less than 100)
beds, section 408 of the BBRA provided for the repeal of certain
statutory restrictions on length of stay and aggregate payment for
patient days, effective with the end of the SNF PPS transition period
described in section 1888(e)(2)(E) of the Act. In the final rule for FY
2002 (66 FR 39562, July 31, 2001), we made conforming changes to the
regulations at Sec. 413.114(d), effective for services furnished in
cost reporting periods beginning on or after July 1, 2002, to reflect
section 408 of the BBRA.
D. The Medicare, Medicaid, and SCHIP Benefits Improvement and
Protection Act of 2000 (BIPA)
The BIPA also included several provisions that resulted in
adjustments to the SNF PPS. We described these provisions in detail in
the final rule for FY 2002 (66 FR 39562, July 31, 2001). In particular:
Section 203 of the BIPA exempted CAH swing-beds from the
SNF PPS. We included further information on this provision in Program
Memorandum A-01-09 (Change Request 1509), issued January 16,
2001, which is available online at https://www.cms.hhs.gov/transmittals/downloads/a0109.pdf.
Section 311 of the BIPA revised the statutory update
formula for the SNF market basket, and also directed us to conduct a
study of alternative case-mix classification systems for the SNF PPS.
In 2006, we submitted a report to the Congress on this study, which is
available online at https://www.cms.hhs.gov/SNFPPS/Downloads/RC_2006_PC-PPSSNF.pdf.
Section 312 of the BIPA provided for a temporary increase
of 16.66 percent in the nursing component of the case-mix adjusted
Federal rate for services furnished on or after April 1, 2001, and
before October 1, 2002; accordingly, this add-on is no longer in
effect. This section also directed the Government Accountability Office
(GAO) to conduct an audit of SNF nursing staff ratios and submit a
report to the Congress on whether the temporary increase in the nursing
component should be continued. The report (GAO-03-176), which GAO
issued in November 2002, is available online at https://www.gao.gov/new.items/d03176.pdf.
Section 313 of the BIPA repealed the consolidated billing
requirement for services (other than physical, occupational, and
speech-language therapy) furnished to SNF residents during noncovered
stays, effective January 1, 2001.
Section 314 of the BIPA corrected an anomaly involving
three of the RUGs that section 101(a) of the BBRA had designated to
receive the temporary payment adjustment discussed above in section
I.C. of this final rule. (As noted previously, in accordance with
section 101(c)(2) of the BBRA, this temporary payment adjustment
expired upon the implementation of case-mix refinements on January 1,
2006.)
Section 315 of the BIPA authorized us to establish a
geographic reclassification procedure that is specific to SNFs, but
only after collecting the data necessary to establish a SNF wage index
that is based on wage data from nursing homes. To date, this has proven
to be infeasible due to the volatility of existing SNF wage data and
the significant amount of resources that would be required to improve
the quality of that data.
We included further information on several of the BIPA provisions
in Program Memorandum A-01-08 (Change Request 1510), issued
January 16, 2001, which is available online at https://www.cms.hhs.gov/transmittals/downloads/a0108.pdf.
E. The Medicare Prescription Drug, Improvement, and Modernization Act
of 2003 (MMA)
The MMA included a provision that results in a further adjustment
to the SNF PPS. Specifically, section 511 of the MMA amended section
1888(e)(12)
[[Page 40291]]
of the Act, to provide for a temporary increase of 128 percent in the
PPS per diem payment for any SNF residents with Acquired Immune
Deficiency Syndrome (AIDS), effective with services furnished on or
after October 1, 2004. This special AIDS add-on was to remain in effect
until ``* * * the Secretary certifies that there is an appropriate
adjustment in the case mix * * * to compensate for the increased costs
associated with [such] residents * * *.'' The AIDS add-on is also
discussed in Program Transmittal 160 (Change Request
3291), issued on April 30, 2004, which is available online at
https://www.cms.hhs.gov/transmittals/downloads/r160cp.pdf. As discussed
in the SNF PPS final rule for FY 2006 (70 FR 45028, August 4, 2005), we
did not address the certification of the AIDS add-on in that final
rule's implementation of the case-mix refinements, thus allowing the
temporary add-on payment created by section 511 of the MMA to remain in
effect.
For the limited number of SNF residents that qualify for the AIDS
add-on, implementation of this provision results in a significant
increase in payment. For example, using FY 2007 data, we identified
slightly more than 2,700 SNF residents with a diagnosis code of 042
(Human Immunodeficiency Virus (HIV) Infection). For FY 2010, an urban
facility with a resident with AIDS in RUG group ``SSA'' would have a
case-mix adjusted payment of $252.95 (see Table 4) before the
application of the MMA adjustment. After an increase of 128 percent,
this urban facility would receive a case-mix adjusted payment of
approximately $576.73. A further discussion of the AIDS add-on in the
context of research conducted during the recent STRIVE study appears in
section III.C.5 of this final rule.
In addition, section 410 of the MMA contained a provision that
excluded from consolidated billing certain practitioner and other
services furnished to SNF residents by rural health clinics (RHCs) and
Federally Qualified Health Centers (FQHCs), as discussed in section
III.G of this final rule.
F. Skilled Nursing Facility Prospective Payment--General Overview
We implemented the Medicare SNF PPS effective with cost reporting
periods beginning on or after July 1, 1998. This PPS pays SNFs through
prospective, case-mix adjusted per diem payment rates applicable to all
covered SNF services. These payment rates cover all costs of furnishing
covered SNF services (routine, ancillary, and capital-related costs)
other than costs associated with approved educational activities.
Covered SNF services include post-hospital services for which benefits
are provided under Part A, as well as those items and services (other
than physician and certain other services specifically excluded under
the BBA) which, before July 1, 1998, had been paid under Part B but
furnished to Medicare beneficiaries in a SNF during a covered Part A
stay. A comprehensive discussion of these provisions appears in the May
12, 1998 interim final rule (63 FR 26252).
1. Payment Provisions--Federal Rate
The PPS uses per diem Federal payment rates based on mean SNF costs
in a base year (FY 1995) updated for inflation to the first effective
period of the PPS. We developed the Federal payment rates using
allowable costs from hospital-based and freestanding SNF cost reports
for reporting periods beginning in FY 1995. As discussed previously in
section I.A of this final rule, the data used in developing the Federal
rates also incorporated a ``Part B add-on,'' an estimate of the amounts
that would be payable under Part B in the base year for covered SNF
services furnished to individuals during the course of a covered Part A
SNF stay.
In developing the rates for the initial period, we updated costs to
the first effective year of the PPS (the 15-month period beginning July
1, 1998) using a SNF market basket index, and then standardized for the
costs of facility differences in case-mix and for geographic variations
in wages. In compiling the database used to compute the Federal payment
rates, we excluded those providers that received new provider
exemptions from the routine cost limits, as well as costs related to
payments for exceptions to the routine cost limits. Using the formula
that the BBA prescribed, we set the Federal rates at a level equal to
the weighted mean of freestanding costs plus 50 percent of the
difference between the freestanding mean and weighted mean of all SNF
costs (hospital-based and freestanding) combined. We computed and
applied separately the payment rates for facilities located in urban
and rural areas. In addition, we adjusted the portion of the Federal
rate attributable to wage-related costs by a wage index.
The Federal rate also incorporates adjustments to account for
facility case-mix, using a classification system that accounts for the
relative resource utilization of different patient types. The RUG-III
classification system uses beneficiary assessment data from the Minimum
Data Set (MDS) completed by SNFs to assign beneficiaries to one of 53
RUG-III groups. The original RUG-III case-mix classification system
included 44 groups. However, under incremental refinements that became
effective on January 1, 2006, we added nine new groups--comprising a
new Rehabilitation plus Extensive Services category--at the top of the
RUG hierarchy. The May 12, 1998 interim final rule (63 FR 26252)
included a detailed description of the original 44-group RUG-III case-
mix classification system. A comprehensive description of the refined
53-group RUG-III case-mix classification system (RUG-53) appeared in
the proposed and final rules for FY 2006 (70 FR 29070, May 19, 2005,
and 70 FR 45026, August 4, 2005).
Further, in accordance with section 1888(e)(4)(E)(ii)(IV) of the
Act, the Federal rates in this final rule reflect an update to the
rates that we published in the final rule for FY 2009 (73 FR 46416,
August 8, 2008) and the associated correction notice (73 FR 56998,
October 1, 2008), equal to the full change in the SNF market basket
index. A more detailed discussion of the SNF market basket index and
related issues appears in sections I.F.2 and III.F of this final rule.
2. FY 2010 Rate Updates Using the Skilled Nursing Facility Market
Basket Index
Section 1888(e)(5) of the Act requires us to establish a SNF market
basket index that reflects changes over time in the prices of an
appropriate mix of goods and services included in covered SNF services.
We use the SNF market basket index to update the Federal rates on an
annual basis. In the SNF PPS final rule for FY 2008 (72 FR 43425
through 43430, August 3, 2007), we revised and rebased the market
basket, which included updating the base year from FY 1997 to FY 2004.
The FY 2010 market basket increase is 2.2 percent, which is based on
IHS Global Insight, Inc. second quarter 2009 forecast with historical
data through the first quarter 2009.
In addition, as explained in the final rule for FY 2004 (66 FR
46058, August 4, 2003) and in section III.F.2 of this final rule, the
annual update of the payment rates includes, as appropriate, an
adjustment to account for market basket forecast error. As described in
the final rule for FY 2008, the threshold percentage that serves to
trigger an adjustment to account for market basket forecast error is
0.5 percentage point effective for FY 2008 and subsequent years. This
adjustment takes into account the forecast error from the most recently
available FY for which there is
[[Page 40292]]
final data, and applies whenever the difference between the forecasted
and actual change in the market basket exceeds a 0.5 percentage point
threshold. For FY 2008 (the most recently available FY for which there
is final data), the estimated increase in the market basket index was
3.3 percentage points, while the actual increase was 3.6 percentage
points, resulting in a difference of 0.3 percentage point. Accordingly,
as the difference between the estimated and actual amount of change
does not exceed the 0.5 percentage point threshold, the payment rates
for FY 2010 do not include a forecast error adjustment. Table 1 shows
the forecasted and actual market basket amounts for FY 2008.
Table 1--Difference Between the Forecasted and Actual Market Basket Increases for FY 2008
----------------------------------------------------------------------------------------------------------------
Forecasted FY 2008 Actual FY 2008 FY 2008 difference
Index increase * increase ** ***
----------------------------------------------------------------------------------------------------------------
SNF........................................ 3.3 3.6 0.3
----------------------------------------------------------------------------------------------------------------
* Published in Federal Register; based on second quarter 2007 IHS Global Insight Inc. forecast (2004-based
index).
** Based on the second quarter 2009 IHS Global Insight forecast (2004-based index).
*** The FY 2008 forecast error correction for the PPS Operating portion will be applied to the FY 2010 PPS
update recommendations. Any forecast error less than 0.5 percentage points will not be reflected in the update
recommendation.
II. Summary of the Provisions of the FY 2010 Proposed Rule
In the FY 2010 proposed rule (74 FR 22208), we proposed to update
the payment rates used under the SNF PPS for FY 2010. We also proposed
to recalibrate the case-mix indexes so that they more accurately
reflect parity in expenditures related to the implementation of case-
mix refinements in January 2006. We also discussed the results of our
ongoing analysis of nursing home staff time measurement (STM) data
collected in the Staff Time and Resource Intensity Verification
(STRIVE) project, and proposed a new RUG-IV case-mix classification
model that would use the updated Minimum Data Set (MDS) 3.0 resident
assessment for case-mix classification effective FY 2011. In addition,
we requested public comment on a possible requirement for the quarterly
reporting of nursing home staffing data, and also on applying the
quality monitoring mechanism in place for all other SNF PPS facilities
to rural swing-bed hospitals. Finally, we proposed to revise the
regulations to incorporate certain technical corrections.
III. Analysis and Response to Public Comments on the FY 2010 Proposed
Rule
In response to the publication of the FY 2010 proposed rule, we
received over 112 timely items of correspondence from the public. The
comments originated primarily from various trade associations and major
organizations, but also from individual providers, corporations,
government agencies, and private citizens.
Brief summaries of each proposed provision, a summary of the public
comments that we received, and our responses to the comments appear
below.
A. General Comments on the FY 2010 Proposed Rule
In addition to the comments that we received on the proposed rule's
discussion of specific aspects of the SNF PPS (which we address later
in this final rule), commenters also submitted the following, more
general observations on the payment system.
Comment: Some commenters noted that while the proposed rule's SNF
PPS rate updates would be effective for FY 2010, its proposed
conversion of the Resource Utilization Groups (RUGs) from version 3
(RUG-III) to version 4 (RUG-IV) would not take effect until FY 2011.
The commenters argued that it is unprecedented to publish such a
proposal so far in advance of its anticipated effective date, and that
the 60-day public comment period would not afford sufficient time to
analyze and comment meaningfully on it. The commenters then suggested
that we withdraw the current RUG conversion proposal and reissue it at
a later date with a ``more reasonable'' comment period.
Response: While it is true that the RUG conversion proposal would
not become effective until FY 2011, our decision to include a
discussion of it in the FY 2010 proposed rule and to propose to
finalize it well in advance of its actual implementation date
represents a response to specific requests from the nursing home
industry for us to provide as much advance notification as possible of
the nature of the proposed RUG-IV revisions, and to provide adequate
time for system updates and training necessary to implement any
proposed changes that are finalized. Thus, rather than arbitrarily
deferring our discussion of this proposal until the FY 2011 rulemaking
cycle (which, in any event, would have provided for exactly the same
60-day duration for the public comment period), we decided to include
the discussion in the current proposed rule, in order to ensure that
providers, States, and other stakeholders and interested parties would
have the maximum time available to familiarize themselves with the
broad outlines of the new model and to prepare for its implementation.
Moreover, even after the close of the FY 2010 proposed rule's public
comment period, we fully intend to continue our analysis of the
proposed changes that are finalized in this rule, in order to consider
the most current data as it becomes available. As an essential part of
this ongoing analysis, we will, of course, also continue to welcome
input from the various stakeholders and interested parties as we move
closer to actual implementation.
Comment: We received comments similar to those discussed previously
in the August 3, 2007 SNF PPS final rule for FY 2008 (72 FR 43415
through 43416) regarding the need to address certain perceived
inadequacies in payment for non-therapy ancillary (NTA) services,
including those services relating to the provision of ventilator care
in SNFs. We also received comments recommending that we continue to
monitor ongoing research, and that we consider alternative case-mix
methodologies such as the recent MedPAC proposal that appears on the
MedPAC Web site (see https://www.MedPAC.gov).
Response: As we noted in the proposed rule for FY 2010, we are
conducting the analyses preparatory to developing a separate
classification method for NTAs. For these analyses, we are using data
developed through STRIVE, as well as alternative models such as the
conceptual design released first by the Urban Institute and then by
MedPAC. However, as noted in our December 2006 Report to Congress
(available online at https://
[[Page 40293]]
www.cms.hhs.gov/SNFPPS/Downloads/RC_2006_PC-PPSSNF.pdf), our analysis
of NTA utilization has been hindered by a lack of data. Almost all
other Medicare institutional providers submit more detailed billing
than SNFs on the ancillary services furnished during a Medicare-covered
stay. SNFs may currently submit summary data that shows total dollar
amounts for each ancillary service category, such as radiology and
pharmacy, but are not required to submit more detailed data on drugs
and biologicals, the most costly NTA expense category. As we examine
the NTA analyses discussed in detail in the FY 2010 proposed rule, we
will re-evaluate whether our current data requirements are sufficient
to move forward with additional program enhancements. We will also
consider whether collecting more detailed claims information on a
regular basis will allow us to establish more accurate payment rates
for NTA services.
We also believe it is important to monitor ongoing research
activities, and work with all stakeholders, including MedPAC, to
identify opportunities for future program enhancements. At the same
time, we note that the SNF PPS reimbursement structure will be
completely examined as part of the Post Acute Care Payment Reform
Demonstration (PAC-PRD) project. Under this major CMS initiative, we
intend to analyze the costs and outcomes across all post-acute care
providers, and the data collected in this demonstration will enable us
to evaluate the possibility of establishing an integrated payment model
centered on beneficiary needs and service utilization (including the
use of non-therapy ancillaries) across settings. In considering future
changes to the SNF PPS, it will be important to evaluate how shorter
term enhancements contribute to our integrated post acute care
strategy.
A discussion of the public comments that we received on the STRIVE
project itself appears in section III.C.1 of this final rule.
B. Annual Update of Payment Rates Under the Prospective Payment System
for Skilled Nursing Facilities
1. Federal Prospective Payment System
This final rule sets forth a schedule of Federal prospective
payment rates applicable to Medicare Part A SNF services beginning
October 1, 2010. The schedule incorporates per diem Federal rates that
provide Part A payment for almost all costs of services furnished to a
beneficiary in a SNF during a Medicare-covered stay.
a. Costs and Services Covered by the Federal Rates
In accordance with section 1888(e)(2)(B) of the Act, the Federal
rates apply to all costs (routine, ancillary, and capital-related) of
covered SNF services other than costs associated with approved
educational activities as defined in Sec. 413.85. Under section
1888(e)(2)(A)(i) of the Act, covered SNF services include post-hospital
SNF services for which benefits are provided under Part A (the hospital
insurance program), as well as all items and services (other than those
services excluded by statute) that, before July 1, 1998, were paid
under Part B (the supplementary medical insurance program) but
furnished to Medicare beneficiaries in a SNF during a Part A covered
stay. (These excluded service categories are discussed in greater
detail in section V.B.2 of the May 12, 1998 interim final rule (63 FR
26295 through 26297)).
b. Methodology Used for the Calculation of the Federal Rates
The FY 2010 rates reflect an update using the full amount of the
latest market basket index. The FY 2010 market basket increase factor
is 2.2 percent. A complete description of the multi-step process used
to calculate Federal rates initially appeared in the May 12, 1998
interim final rule (63 FR 26252), as further revised in subsequent
rules. We note that in accordance with section 101(c)(2) of the BBRA,
the previous temporary increases in the per diem adjusted payment rates
for certain designated RUGs, as specified in section 101(a) of the BBRA
and section 314 of the BIPA, are no longer in effect due to the
implementation of case-mix refinements as of January 1, 2006. However,
the temporary increase of 128 percent in the per diem adjusted payment
rates for SNF residents with AIDS, enacted by section 511 of the MMA
(and discussed previously in section I.E of this final rule), remains
in effect.
We used the SNF market basket to adjust each per diem component of
the Federal rates forward to reflect cost increases occurring between
the midpoint of the Federal FY beginning October 1, 2008, and ending
September 30, 2009, and the midpoint of the Federal FY beginning
October 1, 2009, and ending September 30, 2010, to which the payment
rates apply. In accordance with section 1888(e)(4)(E)(ii)(IV) of the
Act, we would update the payment rates for FY 2010 by a factor equal to
the full market basket index percentage increase. We further adjust the
rates by a wage index budget neutrality factor, described later in this
section. Tables 2 and 3 reflect the updated components of the
unadjusted Federal rates for FY 2010.
Table 2--FY 2010 Unadjusted Federal Rate Per Diem Urban
----------------------------------------------------------------------------------------------------------------
Nursing-- case- Therapy-- case- Therapy-- non-
Rate Component mix mix case-mix Non-case-mix
----------------------------------------------------------------------------------------------------------------
Per Diem Amount..................... $155.23 $116.93 $15.40 $79.22
----------------------------------------------------------------------------------------------------------------
Table 3--FY 2010 Unadjusted Federal Rate Per Diem Rural
----------------------------------------------------------------------------------------------------------------
Nursing-- case- Therapy-- case- Therapy-- non-
Rate component mix mix case-mix Non-case-mix
----------------------------------------------------------------------------------------------------------------
Per Diem Amount..................... $148.31 $134.83 $16.45 $80.69
----------------------------------------------------------------------------------------------------------------
2. Case-Mix Adjustments
a. Background
Section 1888(e)(4)(G)(i) of the Act requires the Secretary to make
an adjustment to account for case-mix. The statute specifies that the
adjustment is to reflect both a resident classification system that the
Secretary establishes to account for the relative resource use of
different patient types, as well as resident assessment and other data
that the Secretary considers appropriate. In first implementing the SNF
PPS (63 FR 26252, May 12, 1998), we developed the
[[Page 40294]]
RUG-III case-mix classification system, which tied the amount of
payment to resident resource use in combination with resident
characteristic information. The STM studies conducted in 1990, 1995,
and 1997 provided information on resource use (time spent by staff
members on residents) and resident characteristics that enabled us not
only to establish RUG-III, but also to create case-mix indexes.
Although the establishment of the SNF PPS did not change Medicare's
fundamental requirements for SNF coverage, there is a correlation
between level of care and provider payment. One of the elements
affecting the SNF PPS per diem rates is the RUG-III case-mix adjustment
classification system based on beneficiary assessments using the MDS
2.0. RUG-III classification is based, in part, on the beneficiary's
need for skilled nursing care and therapy. As discussed previously in
section I.F.1 of this final rule, the SNF PPS final rule for FY 2006
(70 FR 45026, August 4, 2005) refined the case-mix classification
system effective January 1, 2006, by adding nine new Rehabilitation
Plus Extensive Services RUGs at the top of the original, 44-group
system, for a total of 53 groups. This nine-group addition was designed
to better account for the higher costs of beneficiaries requiring both
rehabilitation and certain high intensity medical services. When we
developed the refined RUG-53 system, we constructed new case-mix
indexes, using the STM study data that was collected during the 1990s
and originally used in creating the SNF PPS case-mix classification
system and case-mix indexes. In addition, the RUG-III system was
standardized with the intent of ensuring parity in payments under the
44-group and 53-group models. In section III.B.2.b of this final rule,
we discuss further adjustments to those new case-mix indexes.
The RUG-III case-mix classification system uses clinical data from
the MDS 2.0, and wage-adjusted STM data, to assign a case-mix group to
each patient record that is then used to calculate a per diem payment
under the SNF PPS. The existing RUG-III grouper logic was based on
clinical data collected in 1990, 1995, and 1997. As discussed in
section III.C.1, we have recently completed a multi-year data
collection and analysis under the STRIVE project to update the RUG-III
case-mix classification system for FY 2011. As discussed later in this
preamble, we are introducing a revised case-mix classification system,
the RUG-IV, based on the data collected in 2006-2007 during the STRIVE
project. At the same time, we plan to introduce an updated new resident
assessment instrument, the MDS 3.0, to collect the clinical data that
will be used for case-mix classification under RUG-IV. We believe that
the coordinated introduction of the RUG-IV and MDS 3.0 reflects current
medical practice and resource use in SNFs across the country, and will
enhance the accuracy of the SNF PPS. Further, we plan to defer
implementation of the RUG-IV and MDS 3.0 until October 1, 2010, to
allow all stakeholders adequate time for the systems updates and staff
training needed to assure a smooth transition. We discuss the RUG-IV
methodology, the MDS 3.0, and the stakeholder comments in greater
detail in sections III.C and III.D, respectively.
Under the BBA, each update of the SNF PPS payment rates must
include the case-mix classification methodology applicable for the
coming Federal FY. As indicated in section I.F.1 of this final rule,
the FY 2010 payment rates set forth herein reflect the use of the
refined RUG-53 system that we discussed in detail in the proposed and
final rules for FY 2006.
b. Development of the Case-Mix Indexes
In the FY 2010 proposed rule (74 FR 22208, 22214, May 12, 2009), we
discussed the incremental refinements to the case-mix classification
system that we introduced effective January 1, 2006. We also discussed
the accompanying adjustment that was intended to ensure that estimated
total payments under the refined 53-group model would be equal to those
payments that would have been made under the 44-group model that it
replaced. We then explained that actual utilization patterns under the
refined case-mix system differed significantly from the initial
projections, and as a consequence, rather than simply achieving parity,
this adjustment inadvertently triggered a significant increase in
overall payment levels under the refined model, representing
substantial overpayments to SNFs. Accordingly, the FY 2010 proposed
rule included a proposal to recalibrate the parity adjustment in order
to restore the intended parity to the 2006 case-mix refinements on a
prospective basis. The comments that we received on this proposal, and
our responses, appear below.
Comment: Most commenters opposed our proposal to recalibrate the
case-mix weights put into place for the refined RUG-53 system. Some
commenters expressed the belief that we have overstated the amount of
the proposed parity adjustment, by incorrectly identifying increased
payments related to treatment of higher case-mix patients with an
overpayment related to the use of an incorrect budget neutrality
adjustment factor applied in January 2006. They believed that the
recalibration proposal should be either withdrawn or significantly
reduced to eliminate the effect of real acuity changes. One commenter
conducted a detailed analysis of MDS clinical data that included
changes in reported activities of daily living (ADLs), infections,
falls, medication use, and other clinical conditions to support their
conclusions that patient acuity has increased since the start of the
SNF PPS and that our recalibration proposal incorrectly ignored the
impact of these changes. Another commenter believed that the proposed
recalibration could be more accurately calculated using either 2005
data or a combination of 2005 and 2006 data.
Response: We agree that, on average, the case-mix indexes for
current SNF patients are higher than they were in 2001. In fact, our
primary reason for implementing the STRIVE project was to identify
changes in patient characteristics, and to adjust the RUG case-mix
classification system to reflect the staff time and resource costs
needed to reimburse fairly for the type of patients currently being
treated in nursing homes. Moreover, in the STRIVE study, we collected
2006-2007 patient and facility staff data in order to update the case-
mix classification system. As indicated in detail in the proposed rule,
STRIVE data also show significant changes in patient characteristics
and facility practice patterns that need to be incorporated into the
case-mix methodology to reimburse facilities more accurately.
However, we do not agree that changes in patient acuity levels
skewed the results of our recalibration analysis. When we introduced
nine new Rehabilitation Plus Extensive Care groups to create the RUG-53
model in January 2006, we made a small, focused adjustment to the case-
mix classification of patients receiving both Extensive Care and
Rehabilitation services. Under RUG-44, patients receiving both services
would be classified into the highest paying group for which they
qualified--either Extensive Care or Rehabilitation. Under RUG-53, we
created a separate category for this subgroup of patients. As explained
in the FY 2006 proposed rule (70 FR 29070, 29077, May 19, 2005), we
took the nursing minutes used to create the original RUG-III system,
and resorted the records to create three hierarchy categories
(Rehabilitation, Extensive Care, and Rehabilitation Plus Extensive)
from the two categories that were used
[[Page 40295]]
in the RUG-44 model. In making these changes, we did not change any
other part of the case-mix classification model. Thus, patient clinical
characteristics including ADL scores (used to assign a Rehabilitation
RUG group) calculated under the RUG-53 model would be exactly the same
as the patient characteristics, including ADL scores, calculated under
the RUG-44 model. As we used the same 2006 data set to test for budget
neutrality between the two models, ADLs and other components of the
case-mix model reflected the same 2006 level of acuity.
In addition, we believe this concern may erroneously equate the
introduction of a new classification model with the regular SNF PPS
annual update process. Normally, changes in case mix are accommodated
as the classification model identifies changes in case mix and assigns
the appropriate RUG group. Actual payments will typically vary from
projections since case-mix changes, which occur for a variety of
reasons, cannot be anticipated in an impact analysis.
However, in January 2006, we did not just update the payment rates,
but introduced a new classification model, the RUG-53 case-mix system.
As discussed above, the purpose of this refined model was to
redistribute payments across the 53 groups while maintaining the same
total expenditure level that we would have incurred had we retained the
original 44-group RUG model.
In testing the two models, we used 2001 data because it was the
best data we had available, and found that using the raw weights
calculated for the RUG-53 model, we could expect aggregate payments to
decrease as a result of introducing the refinement. To prevent this
expected reduction in overall Medicare expenditures, we applied an
adjustment to the RUG-53 case-mix weights as described earlier in this
section. Later analysis using actual 2006 data showed that, rather than
achieving budget neutrality between the two models, expenditures under
the RUG-53 model were significantly higher than intended. For FY 2010,
we estimate expenditures to be $1.05 billion higher than intended.
As noted previously, we do not agree that updating our analysis
using CY 2006 data captured payments related to increased case mix
rather than establishing budget neutrality between the two models.
First, by using 2006 data to estimate expenditures under both models,
we incorporate the same case-mix changes into the estimated expenditure
levels for RUG-44 as well as for RUG-53. Second, we believe it is
appropriate to standardize the new model for the time period in which
it is being introduced. The only reason we used 2001 data in the
original calculation is that it was the best data available at the
time. The CY 2006 data allowed us to calibrate the RUG-53 model more
precisely for its first year of operation.
One commenter recommended using alternative time periods in
calculating the budget neutrality adjustment. However, while it might
be possible to use some or all of CY 2005 rather than CY 2006 data,
using CY 2005 data still requires us to use a projection of the
distributional shift to the nine new groups in the RUG-53 group model.
We believe that using actual instead of projected data is the most
appropriate approach. We also looked at a second recommended
alternative, which involved averaging data periods directly before and
after implementation of the RUG-53 model; 2005 for the RUG-44 model and
2006 for the RUG-53 model. Again, we believe that using actual
utilization data for CY 2006 is more accurate, as actual case mix
during the calibration year is the basis for computing the case-mix
adjustment. We have determined that using the 2006 data instead of the
suggested alternatives is the most appropriate data to adopt.
Comment: A few commenters stated that CMS failed to make public all
information needed to provide sufficient explanation of the basis for
the recalibration. The commenters indicated that the negative $1.05
billion impact of the recalibration should be similar to that proposed
in the 2009 proposed rule, and questioned the reasons for the change.
Further, the commenters suggested that CMS has failed to provide the
public with the aggregate baseline spending values that CMS used in
making the initial FY 2006 ``parity'' adjustment and the one that is
currently being used in the FY 2010 proposed rule.
Response: In the FY 2009 rule, actual data were used to compare
payments in 2006 under RUG-44 and RUG-53. At that time it was decided
that an adjustment was necessary to recalibrate the CMIs because the
adjustments in place since FY 2006, which were supposed to be budget
neutral, actually resulted in a 3.3 percent overpayment to SNFs. It was
also determined that the adjustment necessary to attain the appropriate
3.3 percent reduction in payments was a 9.68 percent increase to the
unadjusted RUG-53 case-mix indexes (73 FR 46422, August 8, 2008), to
replace the 17.90 percent adjustment that was in place since 2006. To
determine the dollar impact ($780 million) for the FY 2009 rule, the
3.3 percent was applied to the estimated Medicare reimbursement to SNFs
in FY 2008, which is net of beneficiary cost-sharing. For the FY 2010
rule, the same data and methodology were used as in the FY 2009 rule,
which determined that an overpayment of 3.3 percent has been in place
since 2006, requiring an adjustment to the nursing case-mix indexes of
9.68 percent (74 FR 22214, May 12, 2009) to replace the 17.90 percent
adjustment. However, we believe that the presentation of the dollar
impact would be more accurately reflected by applying the overpayment
percentage to total SNF payments, including beneficiary cost-sharing
amounts. The reason for using these higher payments to determine the
dollar impact is because this is how the impact will play out in actual
practice. Specifically, the revised 9.68 percent adjustment to the
nursing CMIs is used to calculate total payments to SNFs, which reflect
a combination of reimbursement from Medicare along with beneficiary
cost-sharing. However, as the daily coinsurance amount for days 21-100
in the SNF is set by law (in section 1813(a)(3) of the Act) at one-
eighth of the current calendar year's inpatient hospital deductible
amount, the beneficiary cost-sharing is unaffected by the change in
payments resulting from the recalibration. This point is best
illustrated by way of an example: Total payments to SNFs in FY 2009 are
estimated at approximately $31.3 billion, consisting of $25.9 billion
in Medicare reimbursement and $5.4 billion in beneficiary cost-sharing.
The impact of the recalibration lowers total payments to SNFs by
approximately $1 billion (or 3.3 percent), to about $30.3 billion. Of
this $30.3 billion, beneficiary cost-sharing (as determined by the
statutory formula) remains unchanged at $5.4 billion, while Medicare
reimbursement is reduced to $24.8 billion. Thus, although the
determination of the total dollar impact changed, the methodology used
to determine the need to recalibrate the CMIs did not change from FY
2009 to FY 2010. The total payments to SNFs that are used to determine
the dollar impacts are not explicitly published anywhere, but can be
easily estimated by dividing the dollar impacts by the percentage
impact. These results can be confirmed by contacting the CMS Office of
the Actuary.
Comment: Some commenters believed that CMS failed to provide
sufficient information for a third party to reproduce CMS's conclusions
with regard to the recalibrated parity
[[Page 40296]]
adjustment, noting the following specific elements: The baseline used
for FY 2010, the CY 2006 days of service for both the RUG-44 and RUG-53
systems, and the separate values for the recalibrated parity adjustment
factor and the NTA cost adjustment factor for FY 2010.
Response: We do not agree with the commenters' assertion. The
methodology used to establish the case-mix adjustments is the same as
that described in detail in the FY 2006 SNF PPS proposed rule (70 FR
29077 through 29079, May 19, 2005), the FY 2009 SNF PPS proposed rule
(73 FR 25923, May 7, 2008) and the FY 2009 SNF PPS final rule (73 FR
46421-22, August 8, 2008). In addition, the data used to calculate the
adjustments are publicly available on the CMS Web site, as explained
below. We used the CY 2006 days of service (available in the Downloads
section of our Web site at https://www.cms.hhs.gov/SNFPPS/02_Spotlight.asp) for both the RUG-44 and RUG-53 systems. We multiplied
the CY 2006 days of service by the FY 2008 unadjusted Federal per diem
payment rate components (72 FR 43416, August 3, 2007) multiplied by the
unadjusted case-mix indexes (available in the Downloads section of our
Web site at https://www.cms.hhs.gov/SNFPPS/09_RUGRefinement.asp) to
establish expenditures under the RUG-44 and RUG-53 systems. The budget
neutrality adjustment was determined as the percentage increase
necessary for the nursing CMIs to generate estimated expenditure levels
under the RUG-53 system that were equal to estimated expenditure levels
under the RUG-44 system. We then calculated a second adjustment factor
to increase the baseline by an amount that served to offset the
variability in NTA utilization.
The separate recalibrated parity adjustment factor and the NTA cost
adjustment factor were considered in the calculation of the combined
parity adjustment factor of 9.68 in the FY 2009 SNF PPS proposed rule
(73 FR 25923, May 7, 2008), the FY 2009 SNF PPS final rule (73 FR
46421-22, August 8, 2008), and the FY 2010 SNF PPS proposed rule (74 FR
22214, May 12, 2009). We presented the total adjustment to the nursing
case-mix indexes of 9.68 percent because this reflects all changes to
the payment system with respect to the recalibration. The percentage
adjustment to the nursing CMIs to maintain parity between the 44-group
and 53-group models is a 2.43 percent increase. The adjustment to
account for the variability in the non-therapy ancillary utilization is
a 7.08 percent increase. The separate adjustments represent interim
steps in the calculations, and the final result of 9.68 percent
represents the complete change to aggregate payments.
Although the SNF baseline is not explicitly published, the baseline
used can be determined by dividing the dollar impacts by the percentage
impact. Many commenters used this approach to conduct their own
analyses. Some of the commenters contacted CMS to confirm the baseline
in use, and this information was provided or verified.
Comment: A few commenters believe that CMS failed to explain fully
the evaluation done since the FY 2009 final rule to support the
decision to proceed with the recalibration for FY 2010.
Response: The analytic methodology and calculations were explained
in detail in the FY 2009 proposed and final rules. In the final rule,
we explained that we were deferring rather than withdrawing the
recalibration proposal. After the publication of the FY 2009 final
rule, we worked with CMS staff and contractors, and reviewed the entire
methodology with our actuaries. We reviewed the recalibration approach
with the CMS actuaries, asked for an independent review by one of our
contractors, and met with an industry representative to discuss the
methodology. The calculations were determined to be mathematically
correct. The approach was reconsidered along with alternative
approaches that we presented in our FY 2009 final rule (73 FR 46423,
46439-40) and those offered by industry. Based on our results from
these steps, we determined that our methodology was appropriate and
reissued the proposal for FY 2010. In addition, we further considered
the effects of the recalibration on beneficiaries, SNF clinical staff,
and quality of care, and as explained in the FY 2010 proposed rule (74
FR 22214), we determined that it is appropriate to proceed with the
recalibration in FY 2010. As we explained in the FY 2010 proposed rule
(74 FR 22214), by recalibrating the CMIs under the 53-group model, we
expect to restore SNF payments to their appropriate level by correcting
an inadvertent increase in overall payments. Because the recalibration
would simply remove an unintended overpayment rather than decrease an
otherwise appropriate payment amount, we do not believe that the
recalibration should negatively affect beneficiaries, clinical staff,
or quality of care, or create an undue hardship on providers. The
purpose of the FY 2006 refinements was to reallocate payments so that
they more accurately reflect resources used, not to increase or
decrease overall expenditures. Thus, we believe that it is appropriate
to proceed with the recalibration in order to ensure that we correctly
accomplish the purpose of the FY 2006 ca