Medicare Program; Prospective Payment System and Consolidated Billing for Skilled Nursing Facilities for FY 2014, 26437-26480 [2013-10558]
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Vol. 78
Monday,
No. 87
May 6, 2013
Part II
Department of Health and Human Services
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Centers for Medicare & Medicaid Services
42 CFR Parts 413 and 424
Medicare Program; Prospective Payment System and Consolidated Billing
for Skilled Nursing Facilities for FY 2014; Proposed Rule
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Federal Register / Vol. 78, No. 87 / Monday, May 6, 2013 / Proposed Rules
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Centers for Medicare & Medicaid
Services
42 CFR Parts 413 and 424
[CMS–1446–P]
RIN 0938–AR65
Medicare Program; Prospective
Payment System and Consolidated
Billing for Skilled Nursing Facilities for
FY 2014
Centers for Medicare &
Medicaid Services (CMS), HHS.
ACTION: Proposed rule.
AGENCY:
This proposed rule would
update the payment rates used under
the prospective payment system (PPS)
for skilled nursing facilities (SNFs) for
fiscal year (FY) 2014, would revise and
rebase the SNF market basket, and
would make certain technical and
conforming revisions in the regulations
text. This proposed rule also includes a
proposed policy for reporting the SNF
market basket forecast error correction
in certain limited circumstances and a
proposed new item for the Minimum
Data Set (MDS), Version 3.0.
DATES: To be assured consideration,
comments must be received at one of
the addresses provided below, no later
than 5 p.m. on July 1, 2013.
ADDRESSES: In commenting, please refer
to file code CMS–1446–P. Because of
staff and resource limitations, we cannot
accept comments by facsimile (FAX)
transmission.
You may submit comments in one of
four ways (please choose only one of the
ways listed):
1. Electronically. You may submit
electronic comments on this regulation
to https://www.regulations.gov. Follow
the ‘‘Submit a comment’’ instructions.
2. By regular mail. You may mail
written comments to the following
address only: Centers for Medicare &
Medicaid Services, Department of
Health and Human Services, Attention:
CMS–1446–P, P.O. Box 8016, Baltimore,
MD 21244–8016.
Please allow sufficient time for mailed
comments to be received before the
close of the comment period.
3. By express or overnight mail. You
may send written comments to the
following address only: Centers for
Medicare & Medicaid Services,
Department of Health and Human
Services, Attention: CMS–1446–P, Mail
Stop C4–26–05, 7500 Security
Boulevard, Baltimore, MD 21244–1850.
4. By hand or courier. If you prefer,
you may deliver (by hand or courier)
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SUMMARY:
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your written comments before the close
of the comment period to either of the
following addresses:
a. Centers for Medicare & Medicaid
Services, Department of Health and
Human Services, Room 445–G, Hubert
H. Humphrey Building, 200
Independence Avenue SW.,
Washington, DC 20201.
(Because access to the interior of the
Hubert H. Humphrey Building is not
readily available to persons without
Federal Government identification,
commenters are encouraged to leave
their comments in the CMS drop slots
located in the main lobby of the
building. A stamp-in clock is available
for persons wishing to retain a proof of
filing by stamping in and retaining an
extra copy of the comments being filed.)
b. Centers for Medicare & Medicaid
Services, Department of Health and
Human Services, 7500 Security
Boulevard, Baltimore, MD 21244–1850.
If you intend to deliver your
comments to the Baltimore address,
please call telephone number (410) 786–
7195 in advance to schedule your
arrival with one of our staff members.
Comments mailed to the addresses
indicated as appropriate for hand or
courier delivery may be delayed and
received after the comment period.
For information on viewing public
comments, see the beginning of the
SUPPLEMENTARY INFORMATION section.
FOR FURTHER INFORMATION CONTACT:
Penny Gershman, (410) 786–6643, for
information related to clinical issues.
John Kane, (410) 786–0557, for
information related to the development
of the payment rates and case-mix
indexes.
Kia Sidbury, (410) 786–7816, for
information related to the wage index.
Bill Ullman, (410) 786–5667, for
information related to level of care
determinations, consolidated billing,
and general information.
SUPPLEMENTARY INFORMATION:
Inspection of Public Comments: All
comments received before the close of
the comment period are available for
viewing by the public, including any
personally identifiable or confidential
business information that is included in
a comment. We post all comments
received before the close of the
comment period on the following Web
site as soon as possible after they have
been received: https://
www.regulations.gov. Follow the search
instructions on that Web site to view
public comments.
Comments received timely will also
be available for public inspection as
they are received, generally beginning
approximately 3 weeks after publication
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of a document, at the headquarters of
the Centers for Medicare & Medicaid
Services, 7500 Security Boulevard,
Baltimore, Maryland 21244, Monday
through Friday of each week from 8:30
a.m. to 4 p.m. To schedule an
appointment to view public comments,
phone 1–800–743–3951.
Availability of Certain Information
Exclusively Through the Internet on the
CMS Web Site
The Wage Index for Urban Areas
Based on CBSA Labor Market Areas
(Table A) and the Wage Index Based on
CBSA Labor Market Areas for Rural
Areas (Table B) are published in the
Federal Register as an Addendum to the
annual SNF PPS rulemaking (that is, the
SNF PPS proposed and final rules or,
when applicable, the current update
notice). However, as of FY 2012, a
number of other Medicare payment
systems adopted an approach in which
such tables are no longer published in
the Federal Register in this manner, and
instead are made available exclusively
through the Internet; see, for example,
the FY 2012 Hospital Inpatient PPS
(IPPS) final rule (76 FR 51476). To be
consistent with these other Medicare
payment systems and streamline the
published content to focus on policy
discussion, we now propose to adopt a
similar approach for the SNF PPS as
well. As discussed in greater detail in
section VI. of this proposed rule, we
would revise the applicable regulations
text at § 413.345 to accommodate this
approach, consistent with the wording
of the corresponding statutory authority
at section 1888(e)(4)(H)(iii) of the Social
Security Act (the Act). Under this
approach, effective October 1, 2013, the
individual wage index values displayed
in Tables A and B of this rule would no
longer be published in the Federal
Register as part of the annual SNF PPS
rulemaking, and instead would be made
available exclusively through the
Internet on CMS’s SNF PPS Web site at
https://www.cms.gov/Medicare/
Medicare-Fee-for-Service-Payment/
SNFPPS/WageIndex.html. Consistent
with the provisions of section
1888(e)(4)(H)(iii) of the Act, we would
continue to publish in the Federal
Register the specific ‘‘factors to be
applied in making the area wage
adjustment’’ (for example, the SNF
prospective payment system’s use of the
hospital wage index exclusive of its
occupational mix adjustment) as part of
our annual SNF PPS rulemaking
process, but that document would no
longer include a listing of the individual
wage index values themselves, which
would instead be made available
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exclusively through the Internet on the
CMS Web Site.
In addition, we note that in previous
years, each rule or update notice issued
under the annual SNF PPS rulemaking
cycle has included a detailed reiteration
of the various individual legislative
provisions that have affected the SNF
PPS over the years, a number of which
represented temporary measures that
have long since expired. That
discussion, along with detailed
background information on various
other aspects of the SNF PPS, will now
be made available exclusively on the
CMS Web site as well, at https://
www.cms.gov/Medicare/Medicare-Feefor-Service-Payment/SNFPPS/
index.html. In connection with this
change, this proposed rule is presented
in a revised format that also serves to
consolidate material on the individual
rate components that had previously
appeared redundantly in several
different portions of the preamble. The
revised format also reorders the
preamble discussion to achieve a more
logical presentation, by systematically
discussing each of the various rate
components in the actual order in
which it is applied to the SNF payment
rates. For ease of reference, we are
including the following crosswalk
between this proposed rule’s reordered
preamble discussion and the material
that was presented in last year’s SNF
PPS update notice for FY 2013 (77 FR
46214, August 2, 2012).
Crosswalk to FY 2013 Update Notice
FY 2014 Proposed Rule
FY 2013 Update Notice
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I. Executive Summary .........................................................................................................................................................
II.A Statutory Basis and Scope ...........................................................................................................................................
II.B Initial Transition ............................................................................................................................................................
II.C Required Annual Rate Updates ...................................................................................................................................
III.A Federal Base Rates .....................................................................................................................................................
III.B.1 SNF Market Basket Index ........................................................................................................................................
III.B.2 Use of the SNF Market Basket Percentage .............................................................................................................
III.B.3 Forecast Error Adjustment .......................................................................................................................................
III.B.4 Multifactor Productivity Adjustment (MFP) ...............................................................................................................
III.B.4.1 Incorporating the MFP into the Market Basket Update ........................................................................................
III.B.5 Market Basket Update Factor for FY 2014 ..............................................................................................................
III.C Case-Mix (C–M) Adjustment .......................................................................................................................................
III.D Wage Index Adjustment ..............................................................................................................................................
III.E Adjusted Rate Computation Example .........................................................................................................................
IV.A SNF Level of Care—Administrative Presumption .......................................................................................................
IV.B Consolidated Billing .....................................................................................................................................................
IV.C Payment for SNF-Level Swing-Bed Services .............................................................................................................
V.A Revising and Rebasing the SNF Market Basket Index ...............................................................................................
V.B Monitoring Impact of FY 2012 Policy Changes ...........................................................................................................
V.C Ensuring Accuracy in Grouping to Rehabilitation Categories .....................................................................................
V.D SNF Therapy Research Project ...................................................................................................................................
VI. Provisions of the Proposed Rule and Technical Correction .........................................................................................
VII. Collection of Information Requirements .......................................................................................................................
VIII. Response to Comments ..............................................................................................................................................
IX. Economic Analyses .......................................................................................................................................................
Table 1 Diff. Bet. Forecasted, Actual Market Basket Increases ........................................................................................
Table 2 Unadjusted Federal Rate Per Diem (Urban) .........................................................................................................
Table 3 Unadjusted Federal Rate Per Diem (Rural) ..........................................................................................................
Table 4 C–M Adjusted Federal Rates, Indexes (Urban) ....................................................................................................
Table 5 C–M Adjusted Federal Rates, Indexes (Rural) .....................................................................................................
Table 6 C–M Adj. Fed. Rates (Urban), Lab./Non-Lab. Components .................................................................................
Table 7 C–M Adj. Fed. Rates (Rural), Lab./Non-Lab. Components ..................................................................................
Table 8 Rate Computation Example ...................................................................................................................................
Tables 9 through 16 Revising & Rebasing SNF Market Basket ........................................................................................
Table 17 Labor-Related Relative Importance .....................................................................................................................
Table 18 C–M Distributions by Major RUG–IV Category ...................................................................................................
Table 19 C–M Distribution for Therapy RUG–IV Groups ...................................................................................................
Table 20 Mode of Therapy Provision .................................................................................................................................
Table 21 Distribution of MDS Assessment Types ..............................................................................................................
Table 22 Projected Impact ..................................................................................................................................................
Table 23 Accounting Statement ..........................................................................................................................................
To assist readers in referencing
sections contained in this document, we
are providing the following Table of
Contents.
Table of Contents
I. Executive Summary
A. Purpose
B. Summary of Major Provisions
C. Summary of Cost and Benefits
II. Background
A. Statutory Basis and Scope
B. Initial Transition
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C. Required Annual Rate Updates
III. SNF PPS Rate Setting Methodology and
FY 2014 Update
A. Federal Base Rates
B. SNF Market Basket Update
1. SNF Market Basket Index
2. Use of the SNF Market Basket Percentage
3. Forecast Error Adjustment
4. Multifactor Productivity Adjustment
5. Market Basket Update Factor for FY
2014
C. Case-Mix Adjustment
D. Wage Index Adjustment
E. Adjusted Rate Computation Example
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I.
II.A
II.A
II.B, III.D
II.A, II.G.1, III.A.1
II.G.2, V
II.G.2, V.A
II.G.2, V.B
II.G.2, V.C
V.C.1
V.D
II.G.1, III.A.2, III.B
III.C
III.F
II.A, III.E
II.A, VI
II.A, VII
N/A
IV
N/A
N/A
N/A
VIII.
N/A
X.
Table 1
Table 2
Table 3
Table 4
Table 5
Table 6
Table 7
Table 8
N/A
Table 13
Table 9
Table 10
Table 11
Table 12
Table 14
Table 15
IV. Additional Aspects of the SNF PPS
A. SNF Level of Care—Administrative
Presumption
B. Consolidated Billing
C. Payment for SNF-Level Swing-Bed
Services
V. Other Issues
A. Revising and Rebasing the SNF Market
Basket Index
1. Background
2. Revising and Rebasing the SNF Market
Basket
3. Price Proxies Used to Measure Cost
Category Growth
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4. Proposed Market Basket Estimate for the
FY 2014 SNF PPS Update
5. Labor-Related Share
B. Monitoring Impact of FY 2012 Policy
Changes
1. RUG Distributions
2. Group Therapy Allocation
3. MDS 3.0 Changes
4. Conclusion
C. Ensuring Accuracy in Grouping to
Rehabilitation RUG–IV Categories
D. SNF Therapy Research Project
VI. Provisions of the Proposed Rule and
Technical Correction
VII. Collection of Information Requirements
VIII. Response to Comments
IX. Economic Analyses
Regulation Text
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Acronyms
In addition, because of the many
terms to which we refer by acronym in
this proposed rule, we are listing these
abbreviations and their corresponding
terms in alphabetical order below:
AIDS Acquired Immune Deficiency
Syndrome
ARD Assessment reference date
BBA Balanced Budget Act of 1997, Pub. L.
105–33
BBRA Medicare, Medicaid, and SCHIP
Balanced Budget Refinement Act of 1999,
Pub. L. 106–113
BIPA Medicare, Medicaid, and SCHIP
Benefits Improvement and Protection Act
of 2000, Pub. L. 106–554
CAH Critical access hospital
CBSA Core-based statistical area
CFR Code of Federal Regulations
CMI Case-mix index
CMS Centers for Medicare & Medicaid
Services
COT Change of therapy
ECI Employment Cost Index
EOT End of therapy
EOT–R End of therapy—resumption
FQHC Federally qualified health center
FR Federal Register
FY Fiscal year
GAO Government Accountability Office
HCPCS Healthcare Common Procedure
Coding System
HOMER Home office Medicare records
IGI IHS (Information Handling Services)
Global Insight, Inc.
MDS Minimum data set
MFP Multifactor productivity
MMA Medicare Prescription Drug,
Improvement, and Modernization Act of
2003, Pub. L. 108–173
MSA Metropolitan statistical area
NAICS North American Industrial
Classification System
OMB Office of Management and Budget
OMRA Other Medicare Required
Assessment
PPS Prospective Payment System
RAI Resident assessment instrument
RAVEN Resident assessment validation
entry
RFA Regulatory Flexibility Act, Pub. L. 96–
354
RHC Rural health clinic
RIA Regulatory impact analysis
RUG–III Resource Utilization Groups,
Version 3
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RUG–V Resource Utilization Groups,
Version 4
RUG–53 Refined 53-Group RUG–III CaseMix Classification System
SCHIP State Children’s Health Insurance
Program
SNF Skilled nursing facility
STM Staff time measurement
STRIVE Staff time and resource intensity
verification
UMRA Unfunded Mandates Reform Act,
Pub. L. 104–4
I. Executive Summary
A. Purpose
This proposed rule would update the
SNF prospective payment rates for FY
2014 as required under section
1888(e)(4)(E) of the Act. It would also
respond to section 1888(e)(4)(H) of the
Act, which requires the Secretary to
‘‘provide for publication in the Federal
Register’’ before the August 1 that
precedes the start of each fiscal year, the
unadjusted federal per diem rates, the
case-mix classification system, and the
factors to be applied in making the area
wage adjustment used in computing the
prospective payment rates for that fiscal
year.
B. Summary of Major Provisions
In accordance with sections
1888(e)(4)(E)(ii)(IV) and 1888(e)(5) of
the Act, the federal rates in this
proposed rule would reflect an update
to the rates that we published in the
SNF PPS update notice for FY 2013 (77
FR 46214) which reflects the SNF
market basket index, adjusted by the
forecast error correction, if applicable,
and the multifactor productivity
adjustment for FY 2014.
C. Summary of Cost and Benefits
Provision
description
Total transfers
Proposed FY
2014 SNF
PPS payment rate
update.
The overall economic impact
of this proposed rule
would be an estimated increase of $500 million in
aggregate payments to
SNFs during FY 2014.
II. Background
A. Statutory Basis and Scope
As amended by section 4432 of the
Balanced Budget Act of 1997 (BBA, Pub.
L. 105–33, enacted on August 5, 1997),
section 1888(e) of the Act provides for
the implementation of a PPS for SNFs.
This methodology uses prospective,
case-mix adjusted per diem payment
rates applicable to all covered SNF
services defined in section 1888(e)(2)(A)
of the Act. The SNF PPS is effective for
cost reporting periods beginning on or
after July 1, 1998, and covers all costs
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of furnishing covered SNF services
(routine, ancillary, and capital-related
costs) other than costs associated with
approved educational activities and bad
debts. Under section 1888(e)(2)(A)(i) of
the Act, covered SNF services include
post-hospital extended care services for
which benefits are provided under Part
A, as well as those items and services
(other than a small number of excluded
services, such as physician services) for
which payment may otherwise be made
under Part B and which are furnished to
Medicare beneficiaries who are
residents 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).
B. Initial Transition
Under sections 1888(e)(1)(A) and
1888(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 for SNFs entirely on
the adjusted federal per diem rates, we
no longer include adjustment factors
under the transition related to facilityspecific rates for the upcoming FY.
C. Required Annual Rate Updates
Section 1888(e)(4)(E) of the Act
requires the SNF PPS payment rates to
be updated annually. The most recent
annual update occurred in an update
notice that set forth updates to the SNF
PPS payment rates for FY 2013 (77 FR
46214).
Under this requirement, section
1888(e)(4)(H) of the Act specifies that
we provide for publication annually in
the Federal Register of the following:
• The unadjusted federal per diem
rates to be applied to days of covered
SNF services furnished during the
upcoming FY.
• The case-mix classification system
to be applied with respect to these
services during the upcoming FY.
• 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 proposed
rule would provide the required annual
updates to the per diem payment rates
for SNFs for FY 2014.
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III. SNF PPS Rate Setting Methodology
and FY 2014 Update
A. Federal Base Rates
Under section 1888(e)(4) of the Act,
the SNF 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. The data used in
developing the federal rates also
incorporated a ‘‘Part B add-on,’’ which
is an estimate of the amounts that, prior
to the SNF PPS, would have been
payable under Part B for covered SNF
services furnished to individuals during
the course of a covered Part A stay in
a SNF.
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 geographic variations
in wages and for the costs of facility
differences in case mix. 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, and adjusted the portion of the
federal rate attributable to wage-related
costs by a wage index to reflect
geographic variations in wages.
B. SNF Market Basket Update
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1. SNF Market Basket Index
Section 1888(e)(5)(A) 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. 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. We use the
SNF market basket index, adjusted in
the manner described below, to update
the federal rates on an annual basis. In
the SNF PPS final rule for FY 2008 (72
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FR 43425 through 43430), we revised
and rebased the market basket, which
included updating the base year from
FY 1997 to FY 2004. For FY 2014, we
propose to revise and rebase the market
basket to reflect FY 2010 total cost data,
as detailed in section V.A. of this
proposed rule.
We are also proposing to determine
the FY 2014 market basket increase
based on the percent increase in the
revised and rebased FY 2010-based SNF
market basket. For the FY 2014
proposed rule, the FY 2010-based SNF
market basket growth rate is estimated
to be 2.3 percent, which is based on the
Information Handling Services (IHS)
Global Insight, Inc. (IGI) first quarter
2013 forecast with historical data
through fourth quarter 2012. In section
III.B.5 of this proposed rule, we discuss
the specific application of this
adjustment to the forthcoming annual
update of the SNF PPS payment rates.
2. Use of the SNF 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
midpoint of the previous FY to the
midpoint of the current FY. For the
federal rates set forth in this proposed
rule, we use the percentage change in
the SNF market basket index to compute
the update factor for FY 2014. This is
based on the IGI first quarter 2013
forecast (with historical data through
the fourth quarter 2012) of the FY 2014
percentage increase in the FY 2010based SNF market basket index for
routine, ancillary, and capital-related
expenses, which is used to compute the
update factor in this proposed rule. As
discussed in sections III.B.3. and III.B.4.
of this proposed rule, this market basket
percentage change would be reduced by
the forecast error correction
(§ 413.337(d)(2)), and by the MFP
adjustment as required by section
1888(e)(5)(B)(ii) of the Act. Finally, as
discussed in section II.B. of this
proposed rule, we no longer compute
update factors to adjust a facilityspecific portion of the SNF PPS rates,
because the initial 3-phase transition
period from facility-specific to full
federal rates that started with cost
reporting periods beginning in July 1998
has expired.
3. Forecast Error Adjustment
As discussed in the June 10, 2003
supplemental proposed rule (68 FR
34768) and finalized in the August 4,
2003, final rule (68 FR 46057 through
46059), the regulations at
§ 413.337(d)(2) provide for an
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adjustment to account for market basket
forecast error. The initial adjustment for
market basket forecast error 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,
resulting in an increase of 3.26 percent
to the FY 2004 update. 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 the difference
between the forecasted and actual
change in the market basket when the
difference 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
for FY 2008 and subsequent fiscal years.
As we stated in the final rule for FY
2004 that first issued the market basket
forecast error adjustment (68 FR 46058,
August 4, 2003), the adjustment will
‘‘. . . reflect both upward and
downward adjustments, as
appropriate.’’
For FY 2012 (the most recently
available FY for which there is final
data), the estimated increase in the
market basket index was 2.7 percentage
points, while the actual increase was 2.2
percentage points, resulting in the
actual increase being 0.5 percentage
point lower than the estimated increase.
As the forecast error calculation in this
instance does not permit one to
determine definitively if the forecast
error adjustment threshold has been
exceeded, we are proposing a policy
that would be applied in instances, and
only those instances, where the forecast
error calculation is equal to 0.5
percentage point, when rounded to one
significant digit (otherwise referred to as
a tenth of a percentage point), as further
discussed below. When the forecast
error, rounded to one significant digit, is
equal to 0.5 percentage point, we
propose to report the forecast error to
two significant digits (otherwise referred
to as a hundredth of a percentage point)
so that we may determine whether the
forecast error correction threshold has
been exceeded and whether the forecast
error adjustment should be applied
under § 413.337(d)(2). This policy
would apply only in those instances
where the forecast error, when rounded
to one significant digit, is 0.5 percentage
point. For example, if the forecast error
is calculated to be 0.4 percentage point
when rounded to one significant digit,
then no further determinations are
necessary, the forecast error will be
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Federal Register / Vol. 78, No. 87 / Monday, May 6, 2013 / Proposed Rules
reported as 0.4 percentage point, and a
forecast error adjustment will not be
applied. Likewise, if the forecast error is
determined to be 0.6 percentage point
when rounded to one significant digit,
then no further determination is
necessary, the forecast error will be
reported as 0.6 percentage point, and a
forecast error adjustment will be
applied.
We propose that when the forecast
error is determined to be 0.5 percentage
point, when rounded to one significant
digit, the determination of whether or
not the threshold has been exceeded
would be made by rounding the forecast
error calculation to the second
significant digit. We believe this
approach is necessary and appropriate
to ensure that the necessity for a forecast
error adjustment is accurately
determined in accordance with
§ 413.337(d)(2), which enables us to
identify those instances where the
difference between the actual and
projected market basket becomes
sufficiently significant to indicate that
the historical price changes are not
being adequately reflected. This
proposed policy would enable us to
distinguish between cases where the
difference carried out to the second
decimal place is less than the 0.5
threshold but rounds to 0.5 (0.45 to
0.49) and cases where the difference
carried out to the second decimal place
is greater than the 0.5 threshold but
rounds to 0.5 (0.51 to 0.54). We would
apply the proposed policy when the
difference between the actual and
projected market basket is either
positive or negative 0.5 percentage
point.
As stated earlier, the forecast error
calculation for FY 2012 is equal to 0.5
percentage point, rounded to one
significant digit, or a tenth of a
percentage point. Therefore, following
the proposed policy outlined above, we
would determine the forecast error for
FY 2012 to the second significant digit,
or the hundredth of a percentage point.
The forecasted FY 2012 SNF market
basket percentage change was 2.7
percent. When rounded to the second
significant digit, it was 2.69 percent.
This would be subtracted from the
actual FY 2012 SNF market basket
percentage change, rounded to the
second significant digit, of 2.18 percent
to yield a negative forecast error
correction of 0.51 percentage point. As
the forecast error correction, when
rounded to two significant digits,
exceeds 0.5 percentage point, a forecast
error adjustment would be warranted
under the policy outlined in the FY
2008 SNF PPS final rule (72 FR 43425)
(see § 413.337(d)(2)).
Consistent with prior applications of
the forecast error adjustment since
establishing the 0.5 percentage point
threshold, and consistent with our
applications of both the market basket
adjustment and productivity adjustment
described below, once we have
determined that a forecast error
adjustment is warranted, we will
continue to apply the adjustment itself
at one significant digit (otherwise
referred to as a tenth of a percentage
point). Therefore, because the forecasted
FY 2012 SNF market basket percentage
change exceeded the actual SNF market
basket percentage change for FY 2012
(the most recently available FY for
which there is final data) by 0.51
percentage point, the FY 2014 SNF
market basket percentage change of 2.3
percent would be adjusted downward
by the forecast error correction of 0.5
percentage point, resulting in a net SNF
market basket increase factor of 1.8
percent. Table 1 shows the forecasted
and actual market basket amounts for
FY 2012.
TABLE 1—DIFFERENCE BETWEEN THE FORECASTED AND ACTUAL MARKET BASKET INCREASES FOR FY 2012
Forecasted
FY 2012
increase*
Index
SNF (rounded to one significant digit) .........................................................................................
SNF (rounded to two significant digits) .......................................................................................
2.7
2.69
Actual
FY 2012
increase**
FY 2012
difference
2.2
2.18
¥0.5
¥0.51
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
* Published in Federal Register; based on second quarter 2011 IGI forecast (2004-based index).
** Based on the first quarter 2013 IHS Global Insight forecast, with historical data through the fourth quarter 2012 (2004-based index).
4. Multifactor Productivity Adjustment
Section 3401(b) of the Affordable Care
Act requires that, in FY 2012 (and in
subsequent FYs), the market basket
percentage under the SNF payment
system as described in section
1888(e)(5)(B)(i) of the Act is to be
reduced annually by the productivity
adjustment described in section
1886(b)(3)(B)(xi)(II) of the Act. Section
1886(b)(3)(B)(xi)(II) of the Act, added by
section 3401(a) of the Affordable Care
Act, sets forth the definition of this
productivity adjustment. The statute
defines the productivity adjustment to
be equal to ‘‘the 10-year moving average
of changes in annual economy-wide
private nonfarm business multi-factor
productivity (as projected by the
Secretary for the 10-year period ending
with the applicable fiscal year, year,
cost-reporting period, or other annual
period)’’ (the MFP adjustment). The
Bureau of Labor Statistics (BLS) is the
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agency that publishes the official
measure of private nonfarm business
multifactor productivity (MFP). Please
see https://www.bls.gov/mfp to obtain the
BLS historical published MFP data.
The projection of MFP is currently
produced by IGI, an economic
forecasting firm. To generate a forecast
of MFP, IGI replicated the MFP measure
calculated by the BLS, using a series of
proxy variables derived from IGI’s U.S.
macroeconomic models. This process is
described in greater detail in section
III.F.3 of the FY 2012 SNF PPS final rule
(76 FR 48527 through 48529).
a. Incorporating the Multifactor
Productivity Adjustment Into the
Market Basket Update
According to section 1888(e)(5)(A) of
the Act, the Secretary ‘‘shall establish a
skilled nursing facility market basket
index that reflects changes over time in
the prices of an appropriate mix of
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Frm 00006
Fmt 4701
Sfmt 4702
goods and services included in covered
skilled nursing facility services.’’ As
described in section III.B.1. of this
proposed rule, we propose to estimate
the SNF PPS market basket percentage
for FY 2014 under section
1888(e)(5)(B)(i) of the Act based on the
proposed FY 2010-based SNF market
basket. Section 1888(e)(5)(B)(ii) of the
Act, added by section 3401(b) of the
Affordable Care Act, requires that for FY
2012 and each subsequent FY, after
determining the market basket
percentage described in section
1888(e)(5)(B)(i) of the Act, ‘‘the
Secretary shall reduce such percentage
by the productivity adjustment
described in section
1886(b)(3)(B)(xi)(II)’’ (which we refer to
as the MFP adjustment). Section
1888(e)(5)(B)(ii) of the Act further states
that the reduction of the market basket
percentage by the MFP adjustment may
result in the market basket percentage
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being less than zero for a FY, and may
result in payment rates under section
1888(e) of the Act for a FY being less
than such payment rates for the
preceding FY. Thus, if the application of
the MFP adjustment to the market
basket percentage calculated under
section 1888(e)(5)(B)(i) of the Act results
in an MFP-adjusted market basket
percentage that is less than zero, then
the annual update to the unadjusted
federal per diem rates under section
1888(e)(4)(E)(ii) of the Act would be
negative, and such rates would decrease
relative to the prior FY.
For the FY 2014 update, the MFP
adjustment is calculated as the 10-year
moving average of changes in MFP for
the period ending September 30, 2014.
In accordance with section
1888(e)(5)(B)(i) of the Act and
§ 413.337(d)(2) of the regulations, the
market basket percentage for FY 2014
for the SNF PPS is based on IGI’s first
quarter 2013 forecast of the proposed FY
2010-based SNF market basket update,
as adjusted by the forecast error
adjustment, and is estimated to be 1.8
percent. In accordance with section
1888(e)(5)(B)(ii) of the Act (as added by
section 3401(b) of the Affordable Care
Act) and § 413.337(d)(3), this market
basket percentage is then reduced by the
MFP adjustment (the 10-year moving
average of changes in MFP for the
period ending September 30, 2014) of
0.4 percent, which is calculated as
described above and based on IGI’s first
quarter 2013 forecast. The resulting
MFP-adjusted SNF market basket
update is equal to 1.4 percent, or 1.8
percent less 0.4 percentage point.
5. Market Basket Update Factor for FY
2014
Sections 1888(e)(4)(E)(ii)(IV) and
1888(e)(5)(i) of the Act require that the
update factor used to establish the FY
2014 unadjusted federal rates be at a
level equal to the market basket index
percentage change. Accordingly, we
determined the total growth from the
average market basket level for the
period of October 1, 2012 through
September 30, 2013 to the average
market basket level for the period of
October 1, 2013 through September 30,
2014. This process yields an update
factor of 2.3 percent. As further
explained in section III.B.3 of this
proposed rule, as applicable, we adjust
the market basket update factor by the
forecast error from the most recently
available FY for which there is final
data and apply this adjustment
whenever the difference between the
forecasted and actual percentage change
in the market basket exceeds a 0.5
percentage point threshold. Since the
forecasted FY 2012 SNF market basket
percentage change exceeded the actual
FY 2012 SNF market basket percentage
change (FY 2012 is the most recently
available FY for which there is final
data) by more than 0.5 percentage point,
the FY 2014 market basket of 2.3
percent would be adjusted downward
26443
by the applicable difference, in this case
of 0.5 percentage points, which reduces
the FY 2014 market basket update factor
to 1.8 percent. In addition, for FY 2014,
section 1888(e)(5)(B) of the Act requires
us to reduce the market basket
percentage by the MFP adjustment (the
10-year moving average of changes in
MFP for the period ending September
30, 2014) of 0.4 percent, as described in
section III.B.4. of this proposed rule.
The resulting MFP-adjusted SNF market
basket update would be equal to 1.4
percent, or 1.8 percent less 0.4
percentage point. We are proposing that
if more recent data become available (for
example, a more recent estimate of the
FY 2010-based SNF market basket, MFP
adjustment, and/or FY 2004-based SNF
market basket used for the forecast error
calculation), we would use such data, if
appropriate, to determine the FY 2014
SNF market basket update, FY 2014
labor-related share relative importance,
and MFP adjustment in the FY 2014
SNF PPS final rule. We used the SNF
market basket, adjusted as described
above, to adjust each per diem
component of the federal rates forward
to reflect the change in the average
prices for FY 2014 from average prices
for FY 2013. We would 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 2014, prior to
adjustment for case-mix.
TABLE 2—FY 2014 UNADJUSTED FEDERAL RATE PER DIEM—URBAN
Rate component
Nursing—
case-mix
Therapy—
case-mix
Therapy—noncase-mix
Non-case-mix
Per Diem Amount ............................................................................................
$165.92
$124.98
$16.46
$84.67
TABLE 3—FY 2014 UNADJUSTED FEDERAL RATE PER DIEM—RURAL
Rate component
Nursing—
case-mix
Therapy—
case-mix
Therapy—noncase-mix
Non-case-mix
Per Diem Amount ............................................................................................
$158.52
$144.11
$17.58
$86.25
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
C. Case-Mix Adjustment
Under section 1888(e)(4)(G)(i) of the
Act, the federal rate also incorporates an
adjustment to account for facility casemix, using a classification system that
accounts for the relative resource
utilization of different patient types.
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 data and other data
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18:00 May 03, 2013
Jkt 229001
that the Secretary considers appropriate.
In the interim final rule with comment
period that initially implemented the
SNF PPS (63 FR 26252, May 12, 1998),
we developed the RUG–III case-mix
classification system, which tied the
amount of payment to resident resource
use in combination with resident
characteristic information. Staff time
measurement (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
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Frm 00007
Fmt 4701
Sfmt 4702
not only to establish RUG–III, but also
to create case-mix indexes (CMIs). The
original RUG–III grouper logic was
based on clinical data collected in 1990,
1995, and 1997. As discussed in the
SNF PPS proposed rule for FY 2010 (74
FR 22208), we subsequently conducted
a multi-year data collection and analysis
under the Staff Time and Resource
Intensity Verification (STRIVE) project
to update the case-mix classification
system for FY 2011. The resulting
Resource Utilization Groups, Version 4
(RUG–IV) case-mix classification system
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reflected the data collected in 2006–
2007 during the STRIVE project, and
was finalized in the FY 2010 SNF PPS
final rule (74 FR 40288) to take effect in
FY 2011 concurrently with an updated
new resident assessment instrument,
version 3.0 of the Minimum Data Set
(MDS 3.0), which collects the clinical
data used for case-mix classification
under RUG–IV.
We note that case-mix classification is
based, in part, on the beneficiary’s need
for skilled nursing care and therapy
services. The case-mix classification
system uses clinical data from the MDS
to assign a case-mix group to each
patient that is then used to calculate a
per diem payment under the SNF PPS.
As discussed in section IV.A of this
proposed rule, the clinical orientation of
the case-mix classification system
supports the SNF PPS’s use of an
administrative presumption that
considers a beneficiary’s initial case-mix
classification to assist in making certain
SNF level of care determinations.
Further, because the MDS is used as a
basis for payment, as well as a clinical
assessment, we have provided extensive
training on proper coding and the time
frames for MDS completion in our
Resident Assessment Instrument (RAI)
Manual. For an MDS to be considered
valid for use in determining payment,
the MDS assessment must be completed
in compliance with the instructions in
the RAI Manual in effect at the time the
assessment is completed. For payment
and quality monitoring purposes, the
RAI Manual consists of both the Manual
instructions and the interpretive
guidance and policy clarifications
posted on the appropriate MDS Web site
at https://www.cms.gov/Medicare/
Quality-Initiatives-Patient-AssessmentInstruments/NursingHomeQualityInits/
MDS30RAIManual.html.
In addition, we note that section 511
of the Medicare Prescription Drug,
Improvement, and Modernization Act of
2003 (MMA) (Pub. L. 108–173, enacted
December 8, 2003) amended section
1888(e)(12) 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 add-on for
SNF residents with AIDS 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 add-on for SNF residents with AIDS
is also discussed in Program Transmittal
#160 (Change Request #3291), issued on
April 30, 2004, which is available
online at www.cms.gov/transmittals/
downloads/r160cp.pdf. In the SNF PPS
final rule for FY 2010 (74 FR 40288), we
did not address the certification of the
add-on for SNF residents with AIDS in
that final rule’s implementation of the
case-mix refinements for RUG–IV, thus
allowing the add-on payment required
by section 511 of the MMA to remain in
effect. For the limited number of SNF
residents that qualify for this add-on,
there is a significant increase in
payments. For example, using FY 2011
data, we identified fewer than 4,100
SNF residents with a diagnosis code of
042 (Human Immunodeficiency Virus
(HIV) Infection). For FY 2014, an urban
facility with a resident with AIDS in
RUG–IV group ‘‘HC2’’ would have a
case-mix adjusted payment of $414.72
(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 $945.56.
Currently, we use the ICD–9–CM code
042 to identify those residents for whom
it is appropriate to apply the AIDS addon established by section 511 of the
MMA. In this context, we note that, in
accordance with the requirements of the
final rule published in the September 5,
2012 Federal Register (77 FR 54664), we
will be discontinuing our current use of
the International Classification of
Diseases, 9th revision, Clinical
Modification (ICD–9–CM), effective
with the compliance date for using the
International Classification of Diseases,
10th revision, Clinical Modification
(ICD–10–CM) of October 1, 2014.
Regarding the above-referenced ICD–9–
CM diagnosis code of 042, we propose
to transition to the equivalent ICD–10–
CM diagnosis code of B20 upon the
October 1, 2014 implementation date for
conversion to ICD–10–CM, and we
invite public comment on this proposal.
We note that both ICD–9–CM diagnosis
code 042 and ICD–10–CM diagnosis
code B20 include AIDS, AIDS-related
complex (ARC), and HIV infection,
symptomatic, but ICD–9–CM diagnosis
code 042 additionally includes AIDSlike syndrome whereas ICD–10–CM
diagnosis code B20 does not. The term
‘‘AIDS-like syndrome’’ denotes a
condition other than AIDS that has
symptoms resembling those of AIDS,
but a different etiology from the human
immunodeficiency virus that causes
AIDS. Accordingly, we believe that in
omitting the category of AIDS-like
syndrome, ICD–10–CM diagnosis code
B20 actually reflects more accurately
than its predecessor ICD–9–CM code the
intended scope of the statutory
provision, which is directed specifically
at those residents who are
‘‘. . . afflicted with acquired immune
deficiency syndrome (AIDS)’’ (see
section 1888(e)(12)(A) of the Act, as
amended by section 511 of the MMA).
Under section 1888(e)(4)(H), each
update of the payment rates must
include the case-mix classification
methodology applicable for the coming
FY. The payment rates set forth in this
proposed rule reflect the use of the
RUG–IV case-mix classification system
from October 1, 2013, through
September 30, 2014. We list the casemix adjusted RUG–IV payment rates,
provided separately for urban and rural
SNFs, in Tables 4 and 5 with
corresponding case-mix values. These
tables do not reflect the add-on for SNF
residents with AIDS enacted by section
511 of the MMA, which we apply only
after making all other adjustments (such
as wage and case-mix).
TABLE 4—RUG–IV CASE-MIX ADJUSTED FEDERAL RATES AND ASSOCIATED INDEXES—URBAN
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
RUG–IV
Category
Nursing
index
RUX ..............................
RUL ..............................
RVX ..............................
RVL ..............................
RHX ..............................
RHL ..............................
RMX .............................
RML ..............................
RLX ..............................
RUC .............................
VerDate Mar<15>2010
18:00 May 03, 2013
Therapy
index
2.67
2.57
2.61
2.19
2.55
2.15
2.47
2.19
2.26
1.56
Jkt 229001
1.87
1.87
1.28
1.28
0.85
0.85
0.55
0.55
0.28
1.87
PO 00000
Frm 00008
Nursing
component
Therapy
component
443.01
426.41
433.05
363.36
423.10
356.73
409.82
363.36
374.98
258.84
Fmt 4701
Sfmt 4702
$233.71
233.71
159.97
159.97
106.23
106.23
68.74
68.74
34.99
233.71
Non-case mix
therapy comp
Non-case mix
component
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
$84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
E:\FR\FM\06MYP2.SGM
06MYP2
Total
rate
$761.39
744.79
677.69
608.00
614.00
547.63
563.23
516.77
494.64
577.22
26445
Federal Register / Vol. 78, No. 87 / Monday, May 6, 2013 / Proposed Rules
TABLE 4—RUG–IV CASE-MIX ADJUSTED FEDERAL RATES AND ASSOCIATED INDEXES—URBAN—Continued
RUG–IV
Category
Nursing
index
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 ..............................
BB2 ..............................
BB1 ..............................
BA2 ..............................
BA1 ..............................
PE2 ..............................
PE1 ..............................
PD2 ..............................
PD1 ..............................
PC2 ..............................
PC1 ..............................
PB2 ..............................
PB1 ..............................
PA2 ..............................
PA1 ..............................
1.56
0.99
1.51
1.11
1.10
1.45
1.19
0.91
1.36
1.22
0.84
1.50
0.71
3.58
2.67
2.32
2.22
1.74
2.04
1.60
1.89
1.48
1.86
1.46
1.96
1.54
1.86
1.46
1.56
1.22
1.45
1.14
1.68
1.50
1.56
1.38
1.29
1.15
1.15
1.02
0.88
0.78
0.97
0.90
0.70
0.64
1.50
1.40
1.38
1.28
1.10
1.02
0.84
0.78
0.59
0.54
Therapy
index
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
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
Nursing
component
Therapy
component
258.84
164.26
250.54
184.17
182.51
240.58
197.44
150.99
225.65
202.42
139.37
248.88
117.80
593.99
443.01
384.93
368.34
288.70
338.48
265.47
313.59
245.56
308.61
242.24
325.20
255.52
308.61
242.24
258.84
202.42
240.58
189.15
278.75
248.88
258.84
228.97
214.04
190.81
190.81
169.24
146.01
129.42
160.94
149.33
116.14
106.19
248.88
232.29
228.97
212.38
182.51
169.24
139.37
129.42
97.89
89.60
Non-case mix
therapy comp
Non-case mix
component
233.71
233.71
159.97
159.97
159.97
106.23
106.23
106.23
68.74
68.74
68.74
34.99
34.99
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
$16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
16.46
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
84.67
Total
rate
577.22
482.64
495.18
428.81
427.15
431.48
388.34
341.89
379.06
355.83
292.78
368.54
237.46
695.12
544.14
486.06
469.47
389.83
439.61
366.60
414.72
346.69
409.74
343.37
426.33
356.65
409.74
343.37
359.97
303.55
341.71
290.28
379.88
350.01
359.97
330.10
315.17
291.94
291.94
270.37
247.14
230.55
262.07
250.46
217.27
207.32
350.01
333.42
330.10
313.51
283.64
270.37
240.50
230.55
199.02
190.73
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
TABLE 5—RUG—IV CASE-MIX ADJUSTED FEDERAL RATES AND ASSOCIATED INDEXES—RURAL
RUG–IV
Category
Nursing
index
RUX ..............................
RUL ..............................
RVX ..............................
RVL ..............................
RHX ..............................
RHL ..............................
RMX .............................
RML ..............................
VerDate Mar<15>2010
18:00 May 03, 2013
Therapy
index
2.67
2.57
2.61
2.19
2.55
2.15
2.47
2.19
Jkt 229001
1.87
1.87
1.28
1.28
0.85
0.85
0.55
0.55
PO 00000
Frm 00009
Nursing
component
Therapy
component
$423.25
407.40
413.74
347.16
404.23
340.82
391.54
347.16
Fmt 4701
Sfmt 4702
$269.49
269.49
184.46
184.46
122.49
122.49
79.26
79.26
Non-case mix
therapy comp
Non-case mix
component
........................
........................
........................
........................
........................
........................
........................
........................
$86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
E:\FR\FM\06MYP2.SGM
06MYP2
Total
rate
$778.99
763.14
684.45
617.87
612.97
549.56
557.05
512.67
26446
Federal Register / Vol. 78, No. 87 / Monday, May 6, 2013 / Proposed Rules
TABLE 5—RUG—IV CASE-MIX ADJUSTED FEDERAL RATES AND ASSOCIATED INDEXES—RURAL—Continued
RUG–IV
Category
Nursing
index
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
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 ..............................
BB2 ..............................
BB1 ..............................
BA2 ..............................
BA1 ..............................
PE2 ..............................
PE1 ..............................
PD2 ..............................
PD1 ..............................
PC2 ..............................
PC1 ..............................
PB2 ..............................
PB1 ..............................
PA2 ..............................
PA1 ..............................
2.26
1.56
1.56
0.99
1.51
1.11
1.10
1.45
1.19
0.91
1.36
1.22
0.84
1.50
0.71
3.58
2.67
2.32
2.22
1.74
2.04
1.60
1.89
1.48
1.86
1.46
1.96
1.54
1.86
1.46
1.56
1.22
1.45
1.14
1.68
1.50
1.56
1.38
1.29
1.15
1.15
1.02
0.88
0.78
0.97
0.90
0.70
0.64
1.50
1.40
1.38
1.28
1.10
1.02
0.84
0.78
0.59
0.54
Therapy
index
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
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
D. Wage Index Adjustment
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 the
Secretary determines appropriate. Since
the inception of the SNF PPS, we have
used hospital inpatient wage data in
VerDate Mar<15>2010
18:00 May 03, 2013
Jkt 229001
Nursing
component
Therapy
component
358.26
247.29
247.29
156.93
239.37
175.96
174.37
229.85
188.64
144.25
215.59
193.39
133.16
237.78
112.55
567.50
423.25
367.77
351.91
275.82
323.38
253.63
299.60
234.61
294.85
231.44
310.70
244.12
294.85
231.44
247.29
193.39
229.85
180.71
266.31
237.78
247.29
218.76
204.49
182.30
182.30
161.69
139.50
123.65
153.76
142.67
110.96
101.45
237.78
221.93
218.76
202.91
174.37
161.69
133.16
123.65
93.53
85.60
Non-case mix
therapy comp
Non-case mix
component
40.35
269.49
269.49
269.49
184.46
184.46
184.46
122.49
122.49
122.49
79.26
79.26
79.26
40.35
40.35
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
17.58
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
86.25
developing a wage index to be applied
to SNFs. We propose to continue this
practice for FY 2014, as we continue to
believe that in the absence of SNFspecific 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), the SNF PPS does
PO 00000
Frm 00010
Fmt 4701
Sfmt 4702
Total
rate
484.86
603.03
603.03
512.67
510.08
446.67
445.08
438.59
397.38
352.99
381.10
358.90
298.67
364.38
239.15
671.33
527.08
471.60
455.74
379.65
427.21
357.46
403.43
338.44
398.68
335.27
414.53
347.95
398.68
335.27
351.12
297.22
333.68
284.54
370.14
341.61
351.12
322.59
308.32
286.13
286.13
265.52
243.33
227.48
257.59
246.50
214.79
205.28
341.61
325.76
322.59
306.74
278.20
265.52
236.99
227.48
197.36
189.43
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
E:\FR\FM\06MYP2.SGM
06MYP2
26447
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
Federal Register / Vol. 78, No. 87 / Monday, May 6, 2013 / Proposed Rules
occupational mix adjustment continues
to be appropriate for SNF payments. For
FY 2014, the updated wage data are for
hospital cost reporting periods
beginning on or after October 1, 2009
and before October 1, 2010 (FY 2010
cost report data).
Finally, we propose to continue to use
the same methodology discussed in the
SNF PPS 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
2014 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 would use the
average wage index from all contiguous
Core-Based Statistical Areas (CBSAs) as
a reasonable proxy. For FY 2014, there
are no rural geographic areas that do not
have hospitals, and thus, this
methodology would not be applied. For
rural Puerto Rico, we would not apply
this methodology due to the distinct
economic circumstances that exist there
(for example, due to the close proximity
to one another of almost all of Puerto
Rico’s various urban and non-urban
areas, this methodology would produce
a wage index for rural Puerto Rico that
is inappropriately higher than that in
half of its urban areas); instead, we
would continue to use the most recent
wage index previously available for that
area. For urban areas without specific
hospital wage index data, we would 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. For FY 2014, the
only urban area without wage index
data available is CBSA 25980,
Hinesville-Fort Stewart, GA.
In addition, we note that section 315
of the Medicare, Medicaid, and SCHIP
Benefits Improvement and Protection
Act of 2000 (BIPA) (Pub. L. 106–554,
enacted on December 21, 2000)
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. However, to
date, this has proven to be unfeasible
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.
Once calculated, we would apply the
wage index adjustment to the laborrelated portion of the federal rate. Each
year, we calculate a revised laborrelated share, based on the relative
importance of labor-related cost
categories (that is, those cost categories
VerDate Mar<15>2010
18:00 May 03, 2013
Jkt 229001
that are sensitive to local area wage
costs) in the input price index. For the
FY 2014 SNF PPS update, we are
proposing to revise the labor-related
share to reflect the relative importance
of the revised FY 2010-based SNF
market basket cost weights for the
following cost categories (as discussed
further in section V.A. of this proposed
rule): wages and salaries; employee
benefits; contract labor; the labor-related
portion of nonmedical professional fees;
administrative and facilities support
services; all other: labor-related services
(previously referred to in the FY 2004based SNF market basket as laborintensive); and a proportion of capitalrelated expenses.
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 2014. 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 2014 than the base
year weights from the SNF market
basket.
We calculate the labor-related relative
importance for FY 2014 in four steps.
First, we compute the FY 2014 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
2014 price index level for that cost
category by the total market basket price
index level. Third, we determine the FY
2014 relative importance for each cost
category by multiplying this ratio by the
base year (FY 2010) weight. Finally, we
add the FY 2014 relative importance for
each of the labor-related cost categories
(wages and salaries, employee benefits,
the labor-related portion of non-medical
professional fees, administrative and
facilities support services, all other:
labor-related services (previously
referred to in the FY 2004-based SNF
market basket as labor-intensive
services), and a portion of capitalrelated expenses) to produce the FY
2014 labor-related relative importance.
Tables 6 and 7 show the RUG–IV casemix adjusted federal rates by laborrelated and non-labor-related
components. In section V. of this
proposed rule, Table 17 provides the FY
2014 labor-related share components
based on the revised and rebased FY
2010-based SNF market basket.
PO 00000
Frm 00011
Fmt 4701
Sfmt 4702
TABLE 6—RUG–IV CASE-MIX ADJUSTED FEDERAL RATES FOR URBAN
SNFS BY LABOR AND NON-LABOR
COMPONENT
RUG–IV
Category
Total rate
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 .......
BB2 .......
BB1 .......
BA2 .......
BA1 .......
PE2 .......
PE1 .......
PD2 .......
PD1 .......
PC2 .......
PC1 .......
PB2 .......
PB1 .......
PA2 .......
PA1 .......
761.39
744.79
677.69
608.00
614.00
547.63
563.23
516.77
494.64
577.22
577.22
482.64
495.18
428.81
427.15
431.48
388.34
341.89
379.06
355.83
292.78
368.54
237.46
695.12
544.14
486.06
469.47
389.83
439.61
366.60
414.72
346.69
409.74
343.37
426.33
356.65
409.74
343.37
359.97
303.55
341.71
290.28
379.88
350.01
359.97
330.10
315.17
291.94
291.94
270.37
247.14
230.55
262.07
250.46
217.27
207.32
350.01
333.42
330.10
313.51
283.64
270.37
240.50
230.55
199.02
190.73
E:\FR\FM\06MYP2.SGM
06MYP2
Labor
portion
$531.18
519.60
472.78
424.17
428.35
382.05
392.93
360.52
345.08
402.69
402.69
336.71
345.46
299.16
298.00
301.02
270.92
238.52
264.45
248.24
204.26
257.11
165.66
484.94
379.61
339.09
327.52
271.96
306.69
255.75
289.33
241.86
285.85
239.55
297.42
248.81
285.85
239.55
251.13
211.77
238.39
202.51
265.02
244.18
251.13
230.29
219.88
203.67
203.67
188.62
172.41
160.84
182.83
174.73
151.58
144.63
244.18
232.61
230.29
218.72
197.88
188.62
167.78
160.84
138.84
133.06
Non-labor
portion
$230.21
225.19
204.91
183.83
185.65
165.58
170.30
156.25
149.56
174.53
174.53
145.93
149.72
129.65
129.15
130.46
117.42
103.37
114.61
107.59
88.52
111.43
71.80
210.18
164.53
146.97
141.95
117.87
132.92
110.85
125.39
104.83
123.89
103.82
128.91
107.84
123.89
103.82
108.84
91.78
103.32
87.77
114.86
105.83
108.84
99.81
95.29
88.27
88.27
81.75
74.73
69.71
79.24
75.73
65.69
62.69
105.83
100.81
99.81
94.79
85.76
81.75
72.72
69.71
60.18
57.67
26448
Federal Register / Vol. 78, No. 87 / Monday, May 6, 2013 / Proposed Rules
TABLE 7—RUG–IV CASE-MIX ADJUSTED FEDERAL RATES FOR RURAL
SNFS BY LABOR AND NON-LABOR
COMPONENT
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
RUG–IV
Category
Total rate
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 .......
BB2 .......
BB1 .......
BA2 .......
BA1 .......
PE2 .......
PE1 .......
PD2 .......
PD1 .......
PC2 .......
PC1 .......
PB2 .......
PB1 .......
PA2 .......
PA1 .......
778.99
763.14
684.45
617.87
612.97
549.56
557.05
512.67
484.86
603.03
603.03
512.67
510.08
446.67
445.08
438.59
397.38
352.99
381.10
358.90
298.67
364.38
239.15
671.33
527.08
471.60
455.74
379.65
427.21
357.46
403.43
338.44
398.68
335.27
414.53
347.95
398.68
335.27
351.12
297.22
333.68
284.54
370.14
341.61
351.12
322.59
308.32
286.13
286.13
265.52
243.33
227.48
257.59
246.50
214.79
205.28
341.61
325.76
322.59
306.74
278.20
265.52
236.99
227.48
197.36
189.43
VerDate Mar<15>2010
Labor
portion
Non-labor
portion
$543.45
532.40
477.50
431.05
427.63
383.40
388.62
357.66
338.26
420.70
420.70
357.66
355.85
311.61
310.51
305.98
277.23
246.26
265.87
250.38
208.36
254.21
166.84
468.35
367.71
329.01
317.94
264.86
298.04
249.38
281.45
236.11
278.14
233.90
289.19
242.74
278.14
233.90
244.96
207.35
232.79
198.51
258.22
238.32
244.96
225.05
215.10
199.62
199.62
185.24
169.76
158.70
179.71
171.97
149.85
143.21
238.32
227.26
225.05
213.99
194.08
185.24
165.33
158.70
137.69
132.15
18:00 May 03, 2013
$235.54
230.74
206.95
186.82
185.34
166.16
168.43
155.01
146.60
182.33
182.33
155.01
154.23
135.06
134.57
132.61
120.15
106.73
115.23
108.52
90.31
110.17
72.31
202.98
159.37
142.59
137.80
114.79
129.17
108.08
121.98
102.33
120.54
101.37
125.34
105.21
120.54
101.37
106.16
89.87
100.89
86.03
111.92
103.29
106.16
97.54
93.22
86.51
86.51
80.28
73.57
68.78
77.88
74.53
64.94
62.07
103.29
98.50
97.54
92.75
84.12
80.28
71.66
68.78
59.67
57.28
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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 under the SNF
PPS that are greater or less than would
otherwise be made if the wage
adjustment had not been made. For FY
2014 (federal rates effective October 1,
2013), 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 2013 to the weighted
average wage adjustment factor for FY
2014. For this calculation, we use the
same 2012 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 FY 2014 is 1.0003. The wage
index applicable to FY 2014 is set forth
in Tables A and B, which appear in the
Addendum of this proposed rule, and is
also available on the CMS Web site at
https://cms.gov/Medicare/Medicare-Feefor-Service-Payment/SNFPPS/
WageIndex.html.
In the SNF PPS final rule for FY 2006
(70 FR 45026, August 4, 2005), we
adopted the changes discussed in the
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.
We indicated in the FY 2008 SNF PPS
final rule (72 FR 43423), that 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 are available online at
https://www.whitehouse.gov/omb/
bulletins/.
In adopting the CBSA geographic
designations, we provided for a 1-year
transition in FY 2006 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
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Sfmt 4702
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 proposed rule.
On February 28, 2013, OMB issued
OMB Bulletin No. 13–01, announcing
revisions to the delineation of
Metropolitan Statistical Areas,
Micropolitian Statistical Areas, and
Combined Statistical Areas, and
guidance on uses of the delineation of
these areas. A copy of this bulletin may
be obtained at https://
www.whitehouse.gov/sites/default/files/
omb/bulletins/2013/b-13–01.pdf. This
bulletin states that it provides the
delineations of all Metropolitan
Statistical Areas, Metropolitan
Divisions, Micropolitan Statistical
Areas, Combined Statistical Areas, and
New England City and Town Areas in
the United States and Puerto Rico based
on the standards published in the June
28, 2010 Federal Register (75 FR 37246–
37252) and Census Bureau data.
While the revisions OMB published
on February 28, 2013 are not as
sweeping as the changes made when we
adopted the CBSA geographic
designations for FY 2006, the February
28, 2013 bulletin does contain a number
of significant changes. For example,
there are new CBSAs, urban counties
that become rural, rural counties that
become urban, and existing CBSAs that
are being split apart.
The changes made by the bulletin and
their ramifications must be extensively
reviewed and assessed by CMS before
using them for the SNF PPS wage index.
Because the bulletin was not issued
until February 28, 2013, we were unable
to undertake such a lengthy process
before publication of this FY 2014
proposed rule. By the time the bulletin
was issued, the FY 2014 SNF PPS
proposed rule was in the advanced
stages of development. We had already
developed the FY 2014 proposed wage
index based on the previous OMB
definitions. To allow for sufficient time
to assess the new changes and their
ramifications, we intend to propose
changes to the wage index based on the
newest CBSA changes in the FY 2015
SNF PPS proposed rule. Thus, we
would continue to use the previous
OMB definitions (that is, those used for
the FY 2013 SNF PPS update notice) for
the FY 2014 SNF PPS wage index.
E. Adjusted Rate Computation Example
Using the hypothetical SNF XYZ
described below, Table 8 shows the
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adjustments made to the federal per
diem rates to compute the provider’s
actual per diem PPS payment under the
described scenario. We derive the Labor
and Non-labor columns from Table 6.
As illustrated in Table 8, SNF XYZ’s
total PPS payment would equal
$41,917.80.
TABLE 8—ADJUSTED RATE COMPUTATION EXAMPLE, SNF XYZ: LOCATED IN CEDAR RAPIDS, IA (URBAN CBSA 16300),
WAGE INDEX: 0.9001
RUG–IV group
Labor
RVX ..................................
ES2 ..................................
RHA ..................................
CC2* .................................
BA2 ..................................
Wage index
Adjusted
labor
Adjusted
rate
Non-labor
Percent
adjustment
Medicare
days
Payment
$472.78
379.61
238.52
219.88
151.58
0.9001
0.9001
0.9001
0.9001
0.9001
$425.55
341.69
214.69
197.91
136.44
$204.91
164.53
103.37
95.29
65.69
$630.46
506.22
318.06
293.20
202.13
$630.46
506.22
318.06
668.50
202.13
14
30
16
10
30
$8,826.44
15,186.60
5,088.96
6,685.00
6,063.90
....................
....................
....................
....................
....................
....................
100
$41,850.90
* Reflects a 128 percent adjustment from section 511 of the MMA.
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IV. Additional Aspects of the SNF PPS
A. SNF Level of Care—Administrative
Presumption
The establishment of the SNF PPS did
not change Medicare’s fundamental
requirements for SNF coverage.
However, because the case-mix
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 discussed in
section III.C of this proposed rule. This
approach includes an administrative
presumption that utilizes a beneficiary’s
initial classification in one of the upper
52 RUGs of the 66-group RUG–IV casemix classification system to assist in
making certain SNF level of care
determinations.
In accordance with section
1888(e)(4)(H)(ii) of the Act and the
regulations at § 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. As set forth in the FY 2011
SNF PPS update notice (75 FR 42910),
this designation reflects an
administrative presumption under the
66-group RUG–IV system that
beneficiaries who are correctly assigned
to one of the upper 52 RUG–IV groups
on the initial 5-day, 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 14 RUG–IV 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
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administrative criteria. This
presumption recognizes the strong
likelihood that beneficiaries assigned to
one of the upper 52 RUG–IV 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 14 RUG–IV groups.
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
in the case-mix classification structure.
In this proposed rule, we would
continue to designate the upper 52
RUG–IV groups for purposes of this
administrative presumption, consisting
of all groups encompassed by the
following RUG–IV 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.
However, we note that this
administrative presumption policy does
not supersede the SNF’s responsibility
to ensure that its decisions relating to
level of care are appropriate and timely,
including a review to confirm that the
services prompting the beneficiary’s
assignment to one of the upper 52 RUG–
IV groups (which, in turn, serves to
trigger the administrative presumption)
are themselves medically necessary. As
we explained in the FY 2000 SNF PPS
final rule (64 FR 41667), the
administrative presumption:
‘‘. . . is itself rebuttable in those
individual cases in which the services
actually received by the resident do not meet
the basic statutory criterion of being
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reasonable and necessary to diagnose or treat
a beneficiary’s condition (according to
section 1862(a)(1) of the Act). Accordingly,
the presumption would not apply, for
example, in those situations in which a
resident’s assignment to one of the upper
. . . groups is itself based on the receipt of
services that are subsequently determined to
be not reasonable and necessary.’’
Moreover, we want to stress the
importance of careful monitoring for
changes in each patient’s condition to
determine the continuing need for Part
A SNF benefits after the assessment
reference date of the 5-day assessment.
B. Consolidated Billing
Sections 1842(b)(6)(E) and 1862(a)(18)
of the Act (as added by section 4432(b)
of the BBA) require 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, section 1862(a)(18)
places the responsibility with the SNF
for billing Medicare for physical
therapy, occupational therapy, and
speech-language pathology services that
the resident receives during a
noncovered stay. Section 1888(e)(2)(A)
of the Act excludes a small list of
services from the consolidated billing
provision (primarily those services
furnished by physicians and certain
other types of practitioners), which
remain separately billable under Part B
when furnished to a SNF’s Part A
resident. 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).
We note that section 103 of the
Medicare, Medicaid, and SCHIP
Balanced Budget Refinement Act of
1999 (BBRA) (Pub. L. 106–113, enacted
on November 29, 1999) amended this
provision (section 1888(e)(2)(A) of the
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Act) by further excluding a number of
individual ‘‘high-cost, low-probability’’
services, identified by Healthcare
Common Procedure Coding System
(HCPCS) codes, within several broader
categories (chemotherapy items,
chemotherapy administration services,
radioisotope services, and customized
prosthetic devices) that otherwise
remained subject to the provision. We
discuss this BBRA amendment in
greater detail in the SNF PPS proposed
and final rules for FY 2001 (65 FR 19231
through 19232, April 10, 2000, and 65
FR 46790 through 46795, July 31, 2000),
as well as in Program Memorandum
AB–00–18 (Change Request #1070),
issued March 2000, which is available
online at www.cms.gov/transmittals/
downloads/ab001860.pdf.
As explained in the FY 2001 proposed
rule (65 FR 19232), 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 ‘‘. . . high-cost,
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) of the BBRA
‘‘is an attempt to exclude from the PPS
certain services and costly items that are
provided infrequently in SNFs. . . .’’ By
contrast, we noted that the Congress
declined to designate for exclusion any
of the remaining services within those
four categories (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), and as
our longstanding policy, any additional
service codes that we 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
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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 this proposed rule, we
specifically invite public comments
identifying HCPCS 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. We may consider excluding a
particular service if it meets our criteria
for exclusion as specified above.
Commenters should identify in their
comments the specific HCPCS code that
is associated with the service in
question, as well as their rationale for
requesting that the identified HCPCS
code(s) be excluded.
We note that the original BBRA
amendment (as well as the
implementing regulations) identified a
set of excluded services by means of
specifying HCPCS codes that were in
effect as of a particular date (in that
case, as of July 1, 1999). Identifying the
excluded services in this manner made
it possible for us to utilize program
issuances as the vehicle for
accomplishing routine updates of the
excluded codes, to reflect any minor
revisions that might subsequently occur
in the coding system itself (for example,
the assignment of a different code
number to the same service).
Accordingly, in the event that we
identify through the current rulemaking
cycle any new services that would
actually represent a substantive change
in the scope of the exclusions from SNF
consolidated billing, we would identify
these additional excluded services by
means of the HCPCS codes that are in
effect as of a specific date (in this case,
as of October 1, 2013). By making any
new exclusions in this manner, we
could similarly accomplish routine
future updates of these additional codes
through the issuance of program
instructions.
C. Payment for SNF-Level Swing-Bed
Services
Section 1883 of the Act permits
certain small, rural hospitals to enter
into a Medicare swing-bed agreement,
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Sfmt 4702
under which the hospital can use its
beds to provide either acute- or SNFlevel care, as needed. For critical access
hospitals (CAHs), Part A pays on a
reasonable cost basis for SNF-level
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. As
explained in the FY 2002 final rule (66
FR 39562), this effective date is
consistent with the statutory provision
to integrate swing-bed rural hospitals
into the SNF PPS by the end of the
transition period, June 30, 2002.
Accordingly, all non-CAH swing-bed
rural hospitals have now come under
the SNF PPS. Therefore, all rates and
wage indexes outlined in earlier
sections of this proposed rule for the
SNF PPS also apply to all non-CAH
swing-bed rural hospitals. A complete
discussion of assessment schedules, the
MDS, and the transmission software
(RAVEN–SB for Swing Beds) appears in
the FY 2002 final rule (66 FR 39562)
and in the FY 2010 final rule (74 FR
40288). As finalized in the FY 2010 SNF
PPS final rule (74 FR 40356–57),
effective October 1, 2010, non-CAH
swing-bed rural hospitals are required to
complete an MDS 3.0 swing-bed
assessment which is limited to the
required demographic, payment, and
quality items. The latest changes in the
MDS for swing-bed rural hospitals
appear on the SNF PPS Web site at
https://www.cms.gov/Medicare/
Medicare-Fee-for-Service-Payment/
SNFPPS/.
V. Other Issues
A. Revising and Rebasing the SNF
Market Basket Index
1. Background
Section 1888(e)(5)(A) of the Act
requires the Secretary to establish a
market basket index that reflects the
changes over time in the prices of an
appropriate mix of goods and services
included in the SNF PPS. Effective for
cost reporting periods beginning on or
after July 1, 1998, we revised and
rebased our 1977 routine costs input
price index and adopted a total
expenses SNF input price index using
FY 1992 as the base year. In the FY 2002
SNF PPS final rule (66 FR 39582), we
rebased and revised the market basket to
a base year of FY 1997. We last rebased
and revised the market basket to a base
year of FY 2004 in the FY 2008 SNF PPS
final rule (72 FR 43425). In this FY 2014
SNF PPS proposed rule, we are
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proposing to revise and rebase the SNF
market basket to a base year of FY 2010.
The term ‘‘market basket’’ refers to the
mix of goods and services needed to
produce SNF care, and is also
commonly used to denote the input
price index that includes both weights
(mix of goods and services) and price
factors. The term ‘‘market basket’’ and
‘‘market basket index’’ used in this
proposed rule refers to the SNF input
price index.
The proposed FY 2010-based SNF
market basket represents routine costs,
costs of ancillary services, and capitalrelated costs. The percentage change in
the market basket reflects the average
change in the price of a fixed set of
goods and services purchased by SNFs
to furnish all services. For further
background information, see the May
12, 1998 interim final rule with
comment period (63 FR 26289), the FY
2002 final rule (66 FR 39582), and the
FY 2008 final rule (72 FR 43425).
For purposes of the SNF PPS, the SNF
market basket is a fixed-weight
(Laspeyres-type) price index. A
Laspeyres-type index compares the cost
of purchasing a specified mix of goods
and services in a selected base period to
the cost of purchasing that same group
of goods and services at current prices.
We construct the market basket in
three steps. The first step is to select a
base period and estimate total base
period expenditure shares for mutually
exclusive and exhaustive spending
categories. We use total costs for routine
services, ancillary services, and capital.
These shares are called ‘‘cost’’ or
‘‘expenditure’’ weights. The second step
is to match each expenditure category to
a price/wage variable, called a price
proxy. We draw these price proxy
variables from publicly available
statistical series published on a
consistent schedule, preferably at least
quarterly. The final step involves
multiplying the price level for each
spending category by the cost weight for
that category. The sum of these products
(that is, weights multiplied by proxy
index levels) for all cost categories
yields the composite index level of the
market basket for a given quarter or
year. Repeating the third step for other
quarters and years produces a time
series of market basket index levels,
from which we can calculate rates of
growth.
The market basket represents a fixedweight index because it answers the
question of how much more or less it
would cost, at a later time, to purchase
the same mix of goods and services that
was purchased in the base period. The
effects on total expenditures resulting
from changes in the quantity or mix of
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goods and services purchased
subsequent or prior to the base period
are, by design, not considered.
Consistent with our discussion in the
May 12, 1998 interim final rule with
comment period (63 FR 26252), the FY
2002 final rule (66 FR 39582), and the
FY 2008 proposed rule (72 FR 25541),
and as further discussed below, to
implement section 1888(e)(5)(A) of the
Act we propose to revise and rebase the
market basket so the cost weights and
price proxies reflect the mix of goods
and services that underlie Medicare
allowable SNF costs (routine, ancillary,
and capital-related) for FY 2010.
2. Revising and Rebasing the Skilled
Nursing Facility Market Basket
The terms ‘‘rebasing’’ and ‘‘revising,’’
while often used interchangeably,
actually denote different activities.
Rebasing means shifting the base year
for the structure of costs of the input
price index (for example, for this
proposed rule, we propose to shift the
base year cost structure from FY 2004 to
FY 2010). Revising means changing data
sources, cost categories, price proxies,
and/or methodology used in developing
the input price index.
We are proposing both to rebase and
revise the SNF market basket to reflect
FY 2010 Medicare allowable total cost
data (routine, ancillary, and capitalrelated). Medicare allowable costs are
costs that are eligible for inclusion
under the SNF PPS payments. For
example, the SNF market basket
excludes home health aide costs as
these costs would be reimbursed under
the Home Health PPS. We last rebased
and revised the SNF market basket in
the FY 2008 PPS final rule (72 FR
43425), reflecting data from FY 2004
Medicare allowable total costs.
We selected FY 2010 as the new base
year because 2010 is the most recent
year for which relatively complete
Medicare cost report (MCR) data are
available. In developing the proposed
market basket, we reviewed SNF
expenditure data from SNF MCRs (CMS
Form 2540–96) for FY 2010 for each
freestanding SNF that reported
Medicare expenses and payments. The
FY 2010 cost reports are those with cost
reporting periods beginning after
September 30, 2009, and before October
1, 2010. We propose to maintain our
policy of using data from freestanding
SNFs because freestanding SNF data
reflect the actual cost structure faced by
the SNF itself. In contrast, expense data
for a hospital-based SNF reflect the
allocation of overhead over the entire
institution. Due to this method of
allocation, total expenses will be
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26451
correct, but the individual components’
expenses may be skewed.
We developed cost category weights
for the proposed FY 2010-based SNF
market basket in two stages. First, we
derived base weights for seven major
categories (wages and salaries, employee
benefits, contract labor,
pharmaceuticals, professional liability
insurance, capital-related, and a
residual ‘‘all other’’) from the SNF
MCRs. Second, we are proposing to
divide the residual ‘‘all other’’ cost
category (21.534 percent) into
subcategories, using U.S. Department of
Commerce Bureau of Economic
Analysis’ (BEA) 2002 Benchmark InputOutput (I–O) tables for the nursing
home industry aged forward using price
changes. The methodology we propose
to use to age the data forward involves
applying the annual price changes from
the respective price proxies to the
appropriate cost categories. We repeat
this practice for each year. We then
apply the resulting 2010 distributions to
the aggregate 2010 ‘‘all other’’ cost
weight of 21.534 percent to yield the
detailed 2010 all other cost weights.
This is similar to the methodology we
used to revise and rebase the SNF
market basket to reflect FY 2004 data in
the FY 2008 SNF final rule.
The BEA Benchmark I–O data are
generally scheduled for publication
every 5 years, with the most recent data
available being 2002. The 2007 BEA
Benchmark I–O data are expected to be
released in the summer of 2013. We are
proposing that if more recent BEA
Benchmark I–O data for 2007 are
released between the proposed and final
rule with sufficient time to incorporate
such data into the final rule that we
would incorporate these data, as
appropriate, into the FY 2010-based
SNF PPS market basket for the final
rule, so that the SNF market basket
reflects the most recent BEA data
available. We note that the FY 2004based SNF market basket used the 1997
BEA Benchmark I–O data to
disaggregate the ‘‘all other’’ (residual)
cost category—the data available at the
time of the rebasing. The 2002 BEA
Benchmark I–O data (and the
forthcoming 2007 BEA Benchmark I–O
data) are updates of the 1997 BEA
Benchmark I–O data.
For this SNF market basket revision
and rebasing, we are proposing to
include a total of 29 detailed cost
categories for the proposed FY 2010based SNF market basket, which is six
more cost categories than the FY 2004based SNF market basket. We are
proposing to include five new cost
categories in the proposed FY 2010based SNF market basket: (1) Medical
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Instruments and Supplies; (2) Apparel;
(3) Machinery and Equipment; (4)
Administrative and Facilities Support
Services; and (5) Financial Services.
Having separate categories for these
costs enables them to be proxied more
precisely. We are also proposing to
divide the Nonmedical Professional
Fees cost category into Nonmedical
Professional Fees: Labor-Related and
Nonmedical Professional Fees:
Nonlabor-Related. In addition, we are
proposing to revise our labels for the
Labor-Intensive Services and NonlaborIntensive Services cost categories to All
Other: Labor-Related Services and All
Other: Nonlabor-Related Services,
respectively. A more thorough
discussion of our proposals is provided
below.
The capital-related portion of the FY
2010-based SNF market basket employs
the same overall methodology used to
develop the capital-related portion of
the FY 1997-based SNF market basket,
described in the FY 2002 SNF PPS final
rule (66 FR 39582) and the FY 2004based SNF market basket, described in
the FY 2008 SNF PPS final rule (72 FR
43425). It is a similar methodology as is
used for the inpatient hospital capital
input price index described in the FY
1997 Hospital IPPS proposed rule (61
FR 27466), the FY 1997 Hospital IPPS
final rule (61 FR 46196), the FY 2006
Hospital IPPS final rule (70 FR 47407),
and the FY 2010 Hospital IPPS final rule
(74 FR 43857). The strength of this
methodology is that it reflects the
vintage nature of capital, which
represents the acquisition and use of
capital over time. We explain this
methodology in more detail below.
Table 9 presents the FY 2010-based
and FY 2004-based SNF market basket
major cost weights. Following the table,
we describe the sources of the major
category weights and their subcategories
in the FY 2010-based SNF market
basket.
TABLE 9—FY 2010-BASED SNF MARKET BASKET MAJOR COST WEIGHTS
Proposed FY
2010-based SNF
market basket
Cost Category
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
Wages and Salaries ....................................................................................................................................
Employee Benefits .......................................................................................................................................
Contract Labor .............................................................................................................................................
Pharmaceuticals ..........................................................................................................................................
Professional Liability Insurance ...................................................................................................................
Capital-related Expenses .............................................................................................................................
All Other (residual) .......................................................................................................................................
• Wages and Salaries: We derived the
wages and salaries cost category using
the FY 2010 SNF MCRs. We determined
the share using Medicare allowable
wages and salaries from Worksheet S–3,
part II and total expenses from
Worksheet B, part I. Medicare allowable
wages and salaries are equal to total
wages and salaries minus: (1) Excluded
salaries from worksheet S–3, part II; and
(2) nursing facility and nonreimbursable salaries from worksheet A,
lines 18, 34 through 36, and 58 through
63. Medicare allowable total expenses
are equal to total expenses from
Worksheet B, lines 16, 21 through 30,
32, 33, 48, and 52 through 54. This
share represents the wage and salary
share of costs for employees for the
SNF, and does not include the wages
and salaries from contract labor, which
are allocated to wages and salaries in a
later step. The same cost report
methodology was used to derive the
wages and salaries cost weight of the FY
2004-based SNF market basket.
• Employee Benefits: We determined
the weight for employee benefits using
FY 2010 SNF MCR data. We derived the
share using Medicare allowable benefit
costs from Worksheet S–3, part II and
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total expenses from Worksheet B.
Medicare allowable benefits are equal to
total benefits from Worksheet S–3, part
II, minus excluded (non-Medicare
allowable) benefits. Non-Medicare
allowable benefits are derived by
multiplying non-Medicare allowable
salaries times the ratio of total benefit
costs for the SNF to the total wage costs
for the SNF. The same cost report
methodology was used to derive the
benefits cost weight of the FY 2004based SNF market basket.
• Contract Labor: We determined the
weight for contract labor using 2010
SNF MCR data. We derived the share
using Medicare allowable contract labor
costs from Worksheet S–3, part II line 17
minus nursing facility (NF) contract
labor costs, and Medicare allowable
total costs from Worksheet B.
(Worksheet S–3, part II line 17 only
includes direct patient care contract
labor attributable to SNF and NF
services.) NF contract labor costs, which
are not reimbursable under Medicare,
are derived by multiplying total contract
labor costs by the ratio of NF wages and
salaries to the sum of NF and SNF
wages and salaries.
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46.057
10.491
5.545
7.872
1.141
7.360
21.534
FY 2004-based
SNF market
basket
48.105
10.699
3.951
7.894
1.717
7.207
20.427
As we did for the FY 2004-based SNF
market basket, we propose to allocate
contract labor costs to the wages and
salaries and employee benefits cost
weights based on their relative
proportion, under the assumption that
contract costs are similarly distributed
and likely to change at the same rate as
direct labor costs even though unit labor
cost levels may be different. The
contract labor allocation proportion for
wages and salaries is equal to the wages
and salaries cost weight as a percent of
the sum of the wages and salaries cost
weight and the employee benefits cost
weight. Using the FY 2010 MCR data,
this percentage is approximately 81
percent; therefore, we propose to
allocate approximately 81 percent of the
contract labor cost weight to the wages
and salaries cost weight. The remaining
proportion of the contract labor cost
weight is allocated to the employee
benefits cost weight. Table 10 shows the
wages and salaries and employee benefit
cost weights after contract labor
allocation for both the FY 2004-based
SNF market basket and the proposed FY
2010-based SNF market basket.
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Federal Register / Vol. 78, No. 87 / Monday, May 6, 2013 / Proposed Rules
26453
TABLE 10—WAGES AND SALARIES AND EMPLOYEE BENEFITS COST WEIGHTS AFTER CONTRACT LABOR ALLOCATION
Proposed FY
2010-based SNF
market basket
Major cost categories
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
Wages and salaries .....................................................................................................................................
Employee benefits .......................................................................................................................................
Prior to contract labor allocation, the
proposed FY 2010-based SNF market
basket wages and salaries cost weight
was about 2 percentage points lower
than the FY 2004-based SNF market
basket wages and salaries cost weight
while the proposed FY 2010-based
employee benefit cost weight was 0.2
percentage point lower than the FY
2004-based employee benefit cost
weight. After the allocation of contract
labor, the proposed FY 2010-based
wages and salaries cost weight is about
0.7 percentage point lower than the FY
2004-based wages and salaries cost
weight while the proposed FY 2010based employee benefits cost weight is
about 0.1 percentage point higher than
the FY 2004-based employee benefit
cost weight. This is due to the increase
in the FY 2010-based SNF market basket
contract labor cost weight from the FY
2004-based SNF market basket contract
labor cost weight, of which 81 percent
of this increase is applied to the wages
and salaries cost weight and 19 percent
is applied to the employee benefit cost
weight, offsetting the actual decrease in
the wages and salaries and employee
benefit cost weights prior to the contract
labor allocation.
• Pharmaceuticals: We derive the
cost weight for pharmaceuticals in two
steps using the FY 2010 SNF MCR and
Medicare claims data.
First, we calculated pharmaceutical
costs using the non-salary costs from the
Pharmacy cost center and the Drugs
Charged to Patients’ cost center, both
found on Worksheet B of the SNF
MCRs. Since these drug costs were
attributable to the entire SNF and not
limited to Medicare allowable services,
we adjusted the drug costs by the ratio
of Medicare allowable pharmacy total
costs to total pharmacy costs from
Worksheet B, part I, column 11.
Worksheet B, part I allocates the general
service cost centers, which are often
referred to as ‘‘overhead costs’’ (in
which pharmacy costs are included) to
the Medicare allowable and nonMedicare allowable cost centers. This
resulted in a proposed FY 2010-based
SNF market basket drug cost weight of
3.1 percent compared to the FY 2004based SNF market basket drug cost
weight, which was 3.2 percent using the
same methodology. This drug cost share
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does not include the drug expenses
associated with Medicaid patients. The
methodology for including the Medicaid
drug expenditures is explained in detail
below. This Medicaid drug add-on
increases the drug expenditure weight
to over seven percent, and is consistent
with the Medicaid drug add-on method
that was used in the FY 2004-based SNF
market basket.
Second, for the FY 2010-based SNF
market basket, we are proposing to
continue to adjust the drug expenses
reported on the MCR to include an
estimate of total Medicaid drug costs,
which are not represented in the
Medicare-allowable drug cost weight.
Similar to the last rebasing, we are
estimating Medicaid drug costs based on
data representing dual-eligible Medicaid
beneficiaries. Medicaid drug costs are
estimated by multiplying Medicaid dual
eligible drug costs per day times the
number of Medicaid days as reported in
the Medicare allowable skilled nursing
cost center in the SNF MCR. Medicaid
dual eligible drug costs per day (where
the day represents an unduplicated drug
supply day) were estimated using a
sample of 2010 Part D claims for those
dual-eligible beneficiaries who had a
Medicare SNF stay during the year.
Medicaid dual-eligible beneficiaries
would receive their drugs through the
Medicare Part D benefit, which would
work directly with the pharmacy, and
therefore, these costs would not be
represented in the Medicare SNF MCRs.
A random 20 percent sample of
Medicare Part D claims data yielded a
Medicaid drug cost per day of $17.39.
We note that the FY 2004-based SNF
market basket relied on data from the
Medicaid Statistical Information
System, which yielded a dual eligible
Medicaid drug cost per day of $13.65 for
2004. For the revised and rebased FY
2010-based SNF market basket, we
propose to use Part D claims to estimate
total Medicaid drug costs as this
provides drug expenditure data for dualeligible beneficiaries for 2010. The
Medicaid Statistical Information System
is no longer a comprehensive database
for dual-eligible beneficiaries’ drug
costs.
The proposed adjusted FY 2010-based
SNF market basket drug cost weight,
representing all drug expenditures
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50.573
11.520
FY 2004-Based
SNF market
basket
51.337
11.418
including those we estimated for
Medicaid, is 7.872 percent. The FY
2004-based SNF market basket
pharmaceutical cost weight was 7.894
percent.
• Professional Liability Insurance: We
calculated the professional liability
insurance cost weight using costs from
Worksheet S–2 of the MCRs as the sum
of premiums, paid losses, and selfinsurance. To derive the professional
liability insurance cost weight for the
proposed FY 2010-based SNF market
basket, we used the same cost report
methodology that was used to derive the
cost weight of the FY 2004-based SNF
market basket (see 72 FR 25543–25544).
For the proposed FY 2010-based SNF
market basket, the professional liability
weight is 1.141 percent, which is
slightly lower than the 1.717 weight for
the FY 2004-based SNF market basket.
• Capital-Related: We derived the
weight for overall capital-related
expenses using the FY 2010 SNF MCRs.
We calculated the Medicare allowable
capital-related cost weight from
Worksheet B, part II. In determining the
subcategory weights for capital, we used
information from the FY 2010 SNF MCR
and the 2010 Bureau of Census’ Service
Annual Survey (SAS) data. For the FY
2004-based SNF market basket, we
relied on the Bureau of Census Business
Expenditure Survey (BES). The SAS
data is a replacement/extension of the
BES data, reflecting more recent data.
We calculated the depreciation cost
weight (that is, depreciation costs
excluding leasing costs) using
depreciation costs from Worksheet S–2.
Since the depreciation costs reflect the
entire SNF facility (Medicare and nonMedicare allowable units) we used total
facility costs as the denominator. This
methodology assumes that the
depreciation of an asset is the same
regardless of whether the asset was used
for Medicare or non-Medicare patients.
This methodology yielded a FY 2010based SNF market basket depreciation
cost weight of 2.301 percent. This
depreciation cost weight is further
adjusted to account for a proportion of
leasing expenses, which is described in
more detail below. We determined the
distribution between building and fixed
equipment and movable equipment
depreciation from the FY 2010 SNF
E:\FR\FM\06MYP2.SGM
06MYP2
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Federal Register / Vol. 78, No. 87 / Monday, May 6, 2013 / Proposed Rules
MCR, as well. The FY 2010 SNF MCR
data showed a fixed/moveable
depreciation split of 85/15, which is the
same split used in the FY 2004-based
SNF market basket.
We also derived the interest expense
share of capital-related expenses from
Worksheet A from the FY 2010 SNF
MCRs. Similar to the depreciation cost
weight, we calculated the interest cost
weight using total facility costs. As done
with the last rebasing, we determined
the split of interest expense between forprofit and not-for-profit facilities based
on the distribution of long-term debt
outstanding by type of SNF (for-profit or
not-for-profit) from the FY 2010 SNF
MCRs. We estimated the split between
for-profit and not-for-profit interest
expense to be 41/59 percent.
Because the data were not available in
the MCRs, we used the most recent 2010
SAS data to derive the capital-related
expenses attributable to leasing and
other capital-related expenses. Based on
the 2010 SAS data, we determined the
leasing costs to be 30 percent of total
capital-related expenses, while we
determined the other capital-related
costs (insurance, taxes, licenses, other)
to be 18 percent of total capital-related
expenses. In the FY 2004-based SNF
market basket, leasing costs represent 21
percent of total capital-related expenses
while other capital-related costs
represent 13 percent of total capitalrelated expenses.
Lease expenses are not broken out as
a separate cost category, but are
distributed among the cost categories of
depreciation, interest, and other capital,
reflecting the assumption that the
underlying cost structure and price
movement of leasing expenses is similar
to capital costs in general. As was done
in previous rebasings, we assumed 10
percent of lease expenses are overhead
and assigned them to the other capital
expenses cost category. We distributed
the remaining lease expenses to the
three cost categories based on the
proportion of depreciation, interest, and
other capital expenses to total capital
costs, excluding lease expenses.
Table 11 shows the capital-related
expense distribution (including
expenses from leases) in the proposed
FY 2010-based SNF market basket and
the FY 2004-based SNF market basket.
TABLE 11—COMPARISON OF THE CAPITAL-RELATED EXPENSE DISTRIBUTION OF THE FY 2010-BASED SNF MARKET
BASKET AND THE FY 2004-BASED SNF MARKET BASKET
Proposed FY
2010-based SNF
market basket
Cost category
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
Capital-related expenses .............................................................................................................................
Total Depreciation ........................................................................................................................................
Total Interest ................................................................................................................................................
Other Capital-related Expenses ..................................................................................................................
Our methodology for determining the
price change of capital-related expenses
accounts for the vintage nature of
capital, which is the acquisition and use
of capital over time. To capture this
vintage nature, the price proxies must
be vintage-weighted. The determination
of these vintage weights occurs in two
steps. First, we must determine the
expected useful life of capital and debt
instruments held by SNFs. Second, we
must identify the proportion of
expenditures within a cost category that
is attributable to each individual year
over the useful life of the relevant
capital assets, or the vintage weights.
We rely on Bureau of Economic
Analysis (BEA) fixed asset data to derive
the useful lives of both fixed and
movable capital, which is the same data
source used to derive the useful lives
during the last rebasing. The specifics of
the data sources used are explained
below.
Estimates of useful lives for movable
and fixed assets for the proposed FY
2010-based SNF market basket are 6 and
25 years, respectively. These estimates
are based on several data sources from
the BEA, which publishes various
useful life-related statistics, including
asset service lives and current-cost
average age, historical cost average age,
and industry-specific current cost net
stocks of assets. While SNF-specific data
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Jkt 229001
are not available, we can use the BEA
data to develop estimates of useful life
that are approximates of SNF capital
purchases.
There are two major issues we must
address in using the BEA service life
data to develop SNF-specific estimates.
First, these data are published at a
detailed asset level and not at an
aggregate level, such as movable and
fixed assets. There are 43 detailed
movable assets in the BEA estimates.
Some examples include computer
software (34 months service life),
electromedical equipment (9 years),
medical instruments and related
equipment (12 years), communication
equipment (15 years), and office
equipment (8 years). There are 23
detailed fixed assets in the BEA
estimates. Some examples of detailed
fixed assets are medical office buildings
(36 years), hospitals and special care
buildings (48 years), and lodging (32
years). Again, there are no service life
estimates at an aggregate level, such as
movable and fixed assets. The second
reason BEA service life data are not
directly applicable to SNFs is that
service lives are not industry-specific;
they apply to many different industries
and, in most cases, to all industries in
the economy. We seek estimates
applicable to nursing homes for our
SNF-specific estimates. BEA also
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Sfmt 4702
7.360
3.180
2.096
2.084
FY 2004-based
SNF market
basket
7.207
2.858
3.037
1.312
publishes average asset age estimates.
Average age estimates are updated more
regularly than service lives data but
reflect an average age rather than a
service life. To get an estimate of the
available service life of an asset, the
average age is multiplied by 2 to reflect
that some assets are retired prior to the
useful life being exhausted. Average age
data are available by detailed and
aggregate asset levels for the overall
economy and were last published in
2012.
We developed a methodology to
approximate movable and fixed asset
ages for nursing and residential care
services (NAICS 623) using the
published BEA data. For the proposed
FY 2010 SNF market basket, we use the
average age for each asset type from the
BEA fixed assets Table 2.9 for all assets
(not SNF-specific) and weight them
using current cost net stock levels for
each of these asset types in the nursing
and residential care services industry.
Current cost net stock levels are
available for download from the BEA
Web site at https://www.bea.gov/
national/FA2004/Details/.
These detailed current cost net stock
estimates are not published in the
Survey of Current Business, a U.S.
Department of Commerce monthly
publication that provides data on U.S.
businesses. Historical cost average age
E:\FR\FM\06MYP2.SGM
06MYP2
Federal Register / Vol. 78, No. 87 / Monday, May 6, 2013 / Proposed Rules
estimates for all industries are
published in the BEA fixed assets Table
2.10; there are no industry-specific
estimates for historical cost average age.
Industry-specific historical cost average
ages for NAICS 6230 is estimated by
multiplying the industry specific
current cost average age by the ratio of
historical cost to current cost average
age for all industries. This produces
historical cost average age data for
movable and fixed assets specific to
NAICS 6230 of 3.2 and 12.2 years,
respectively. Since averages are
measures of central tendency, we
multiply each of these estimates by two
to produce estimates of likely useful
lives of 6.4 and 24.5 years for movable
and fixed assets, which we round to 6
and 25 years, respectively. We are
proposing an interest vintage weight
time span of 22 years, obtained by
weighting the fixed and movable vintage
weights (25 years and 6 years,
respectively) by the fixed and movable
split (85 percent and 15 percent,
respectively).
Given the expected useful life of
capital and debt instruments, we must
determine the proportion of capital
expenditures attributable to each year of
the expected useful life by cost category.
These proportions represent the vintage
weights. We were not able to find a
historical time series of capital
expenditures by SNFs. Therefore, we
approximated the capital expenditure
patterns of SNFs over time, using
alternative SNF data sources. For
building and fixed equipment, we used
the stock of beds in nursing homes from
the National Nursing Home Survey
(NNHS) conducted by the National
Center for Health Statistics (NCHS) for
1962 through 1999. For 2000 through
2010, we extrapolated the 1999 bed data
forward using a 10-year moving average
of growth in the number of beds from
the SNF MCR data. We then used the
change in the stock of beds each year to
approximate building and fixed
equipment purchases for that year. This
procedure assumes that bed growth
reflects the growth in capital-related
costs in SNFs for building and fixed
equipment. We believe that this
assumption is reasonable because the
number of beds reflects the size of a
SNF, and as a SNF adds beds, it also
likely adds fixed capital.
For movable equipment, we used
available SNF data to capture the
changes in intensity of SNF services that
would likely be accompanied by the
purchase of movable equipment. We
used the same methodology to estimate
the change in intensity as published in
the FY 2008 SNF final rule for the
period from 1962 through 2004. For
more details of the methodology, see the
FY 2008 SNF PPS final rule (72 FR
43428). We propose to use the same
methodology to estimate the ratio of
ancillary to routine costs for 2005
through 2010 from the SNF MCR. The
time series of the ratio of ancillary costs
to routine costs for SNFs measures
changes in intensity in SNF services,
which are assumed to be associated
with movable equipment purchase
patterns. The assumption here is that as
ancillary costs increase compared to
routine costs, the SNF caseload becomes
more complex and would require more
movable equipment. Again, the lack of
movable equipment purchase data for
SNFs over time required us to use
alternative SNF data sources. We
believe the resulting two time series,
determined from beds and the ratio of
ancillary to routine costs, reflect real
capital purchases of building and fixed
equipment and movable equipment over
time.
26455
To obtain nominal purchases, which
are used to determine the vintage
weights for interest, we converted the
two real capital purchase series from
1963 through 2010 determined above to
nominal capital purchase series using
their respective price proxies (the BEA
chained price index for nonresidential
construction for hospitals & special care
facilities and the PPI for Machinery and
Equipment). We then combined the two
nominal series into one nominal capital
purchase series for 1963 through 2010.
Nominal capital purchases are needed
for interest vintage weights to capture
the value of debt instruments.
Once we created these capital
purchase time series for 1963 through
2010, we averaged different periods to
obtain an average capital purchase
pattern over time: (1) For building and
fixed equipment, we averaged 24, 25year periods; (2) for movable equipment,
we averaged 43, 6-year periods; and (3)
for interest, we averaged 27, 22-year
periods. We calculate the vintage weight
for a given year by dividing the capital
purchase amount in any given year by
the total amount of purchases during the
expected useful life of the equipment or
debt instrument. Following publication
of the FY 2010 IPPS/Rate Year 2010
LTCH PPS proposed rule, and to
provide greater transparency, we posted
on the CMS market basket Web site at
https://www.cms.gov/Research-StatisticsData-and-Systems/Statistics-Trendsand-Reports/
MedicareProgramRatesStats/
MarketBasketResearch.html, an
illustrative spreadsheet that contains an
example of how the vintage-weighted
price indexes are calculated.
Table 12 shows the resulting vintage
weights for each of these cost categories.
TABLE 12—VINTAGE WEIGHTS FOR PROPOSED FY 2010-BASED SNF PPS CAPITAL-RELATED PRICE PROXIES
Building
and fixed
equipment
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
Year 1
1 ...................................................................................................................................................
2 ...................................................................................................................................................
3 ...................................................................................................................................................
4 ...................................................................................................................................................
5 ...................................................................................................................................................
6 ...................................................................................................................................................
7 ...................................................................................................................................................
8 ...................................................................................................................................................
9 ...................................................................................................................................................
10 .................................................................................................................................................
11 .................................................................................................................................................
12 .................................................................................................................................................
13 .................................................................................................................................................
14 .................................................................................................................................................
15 .................................................................................................................................................
16 .................................................................................................................................................
17 .................................................................................................................................................
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Jkt 229001
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E:\FR\FM\06MYP2.SGM
.061
.059
.053
.050
.046
.043
.041
.039
.036
.034
.034
.034
.033
.032
.031
.031
.032
Movable
equipment
.165
.160
.167
.167
.169
.171
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
........................
06MYP2
Interest
.030
.030
.032
.033
.035
.037
.039
.040
.041
.043
.045
.047
.048
.048
.050
.052
.055
26456
Federal Register / Vol. 78, No. 87 / Monday, May 6, 2013 / Proposed Rules
TABLE 12—VINTAGE WEIGHTS FOR PROPOSED FY 2010-BASED SNF PPS CAPITAL-RELATED PRICE PROXIES—
Continued
Building
and fixed
equipment
Year 1
18
19
20
21
22
23
24
25
Movable
equipment
Interest
.................................................................................................................................................
.................................................................................................................................................
.................................................................................................................................................
.................................................................................................................................................
.................................................................................................................................................
.................................................................................................................................................
.................................................................................................................................................
.................................................................................................................................................
.034
.035
.036
.038
.039
.042
.043
.044
........................
........................
........................
........................
........................
........................
........................
........................
.058
.060
.060
.058
.058
........................
........................
........................
Total ......................................................................................................................................
1.000*
1.000*
1.000*
SOURCES: 2010 SNF MCRs; CMS,
NOTE: Totals may not sum to 1.000 due to rounding.
1 Year 1 represents the vintage weight applied to the farthest year while the vintage weight for year 25, for example, would apply to the most
recent year.
• All Other (residual): We divided the
residual ‘‘all other’’ cost category into
subcategories, using the BEA’s
Benchmark Input-Output Tables for the
nursing home industry aged to 2010
using relative price changes. (The
methodology we used to age the data
involves applying the annual price
changes from the price proxies to the
appropriate cost categories. We repeat
this practice for each year. We then
apply the resulting 2010 distributions to
the aggregate 2010 ‘‘all other’’ cost
weight of 21.534 percent to yield the
detailed 2010 all other cost weights.)
For the FY 2010-based SNF market
basket, we are proposing to include five
new cost categories compared to the FY
2004-based SNF market basket, as
discussed further below. We are also
proposing to revise the labels for the
labor-intensive and nonlabor-intensive
cost categories; the new labels would be
‘‘all other: labor-related’’, and ‘‘all other:
nonlabor-related’’. As discussed in more
detail below, we classify a cost category
as labor-related and include it in the
labor-related share if the cost category is
determined to be labor-intensive and its
cost varies with the local labor market.
In previous regulations, we grouped cost
categories that met both of these criteria
into labor-intensive services. We believe
the new labels more accurately reflect
the concepts that they are intended to
convey. We are not proposing a change
to our definition of the labor-related
share, since we continue to classify a
cost category as labor-related if the costs
are labor-intensive and vary with the
local labor market.
For nonmedical professional fees, we
are proposing to create two separate cost
categories: (1) Nonmedical professional
fees: labor-related, and (2) nonmedical
professional fees: Nonlabor-related. We
discuss the distinction between these
two categories in more detail below in
the discussion of the labor-related share.
Table 13 compares the proposed FY
2010-based SNF market basket cost
weights with the FY 2004-based SNF
market basket cost weights.
TABLE 13—COMPARISON OF THE PROPOSED FY 2010-BASED SNF MARKET BASKET COST WEIGHTS AND THE FY 2004BASED SNF MARKET BASKET COST WEIGHTS
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Cost category
Proposed FY
2010-based
SNF market
basket weights
FY 2004based SNF
market basket
weights
Total .........................................................................................................................................................................
Compensation ...................................................................................................................................................
Wages and Salaries ..................................................................................................................................
Employee Benefits ....................................................................................................................................
Nonmedical Professional Fees 1 ......................................................................................................................
Nonmedical Professional Fees .................................................................................................................
Utilities ..............................................................................................................................................................
Electricity ...................................................................................................................................................
Fuels, Non-highway ...................................................................................................................................
Water and Sewerage ................................................................................................................................
Professional Liability Insurance ........................................................................................................................
Professional Liability Insurance .................................................................................................................
All Other ............................................................................................................................................................
All Other Products .....................................................................................................................................
Pharmaceuticals .................................................................................................................................
Food, Wholesale Purchase ................................................................................................................
Food, Retail Purchase .......................................................................................................................
Chemicals ...........................................................................................................................................
Medical Instruments and Supplies 2 ...................................................................................................
Rubber and Plastics ...........................................................................................................................
Paper and Printing Products ..............................................................................................................
Apparel 2 .............................................................................................................................................
Machinery and Equipment 2 ...............................................................................................................
Miscellaneous Products .....................................................................................................................
100.000
62.093
50.573
11.520
........................
........................
2.223
1.411
0.667
0.145
1.141
1.141
27.183
16.148
7.872
3.661
1.190
0.166
0.764
0.981
0.838
0.195
0.190
0.291
100.000
62.755
51.337
11.418
1.322
1.322
1.551
0.919
0.453
0.179
1.717
1.717
25.448
19.03
7.894
2.906
3.151
0.589
........................
1.513
1.394
........................
........................
1.582
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TABLE 13—COMPARISON OF THE PROPOSED FY 2010-BASED SNF MARKET BASKET COST WEIGHTS AND THE FY 2004BASED SNF MARKET BASKET COST WEIGHTS—Continued
Proposed FY
2010-based
SNF market
basket weights
Cost category
FY 2004based SNF
market basket
weights
11.035
6.227
3.427
0.497
2.303
4.808
2.042
0.899
0.572
0.240
1.055
7.360
3.180
2.701
0.479
2.096
0.869
1.227
2.084
2.084
6.418
........................
........................
........................
3.521
........................
........................
........................
0.434
0.454
2.008
7.207
2.858
2.437
0.421
3.037
1.197
1.84
1.312
1.312
All Other Services .....................................................................................................................................
Labor-Related Services ......................................................................................................................
Nonmedical Professional Fees: Labor-related 1 .........................................................................
Administrative and Facilities Support 3 .......................................................................................
All Other: Labor-Related Services 4 ...................................................................................................
NonLabor-Related Services ........................................................................................................
Nonmedical Professional Fees: Nonlabor-related 1
Financial Services 5 ...................................................................................................................................
Telephone Services ...................................................................................................................................
Postage .....................................................................................................................................................
All Other: Nonlabor-related Services 4 ......................................................................................................
Capital-related Expenses .................................................................................................................................
Total Depreciation .....................................................................................................................................
Building and Fixed Equipment ...........................................................................................................
Movable Equipment ...........................................................................................................................
Total Interest .............................................................................................................................................
For-Profit SNFs ..................................................................................................................................
Non-profit SNFs .................................................................................................................................
Other Capital-related Expenses ................................................................................................................
Other ..................................................................................................................................................
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1 For the FY 2010-based SNF Market basket, we are proposing to divide this category into nonmedical professional fees: labor-related and
nonmedical professional fees: nonlabor-related.
2 For the FY 2010-based SNF Market basket, we are proposing to create a separate cost category for these expenses to proxy the price
growth by a more specific index. These expenses were previously classified under miscellaneous products in the FY 2004-based SNF market
basket.
3 For the FY 2010-based SNF Market basket, we are proposing to create a separate cost category for these expenses to proxy the price
growth by a more specific index. These expenses were previously classified under labor intensive services cost weight in the FY 2004-based
SNF market basket.
4 For the FY 2010-based SNF market basket, we are proposing to revise the labels for the labor-intensive and nonlabor-intensive cost categories to be all other: labor-related and all other: nonlabor-related.
5 For the FY 2010-based SNF market basket, we are proposing to create a separate cost category for these expenses to proxy the price
growth by a more specific index. These expenses were previously classified under nonlabor intensive services cost weight in the FY 2004-based
SNF market basket.
3. Price Proxies Used To Measure Cost
Category Growth
After developing the 29 cost weights
for the proposed FY 2010-based SNF
market basket, we selected the most
appropriate wage and price proxies
currently available to represent the rate
of change for each expenditure category.
With four exceptions (three for the
capital-related expenses cost categories
and one for Professional Liability
Insurance (PLI)), we base the wage and
price proxies on Bureau of Labor
Statistics (BLS) data, and group them
into one of the following BLS categories:
• Employment Cost Indexes.
Employment Cost Indexes (ECIs)
measure the rate of change in
employment wage rates and employer
costs for employee benefits per hour
worked. These indexes are fixed-weight
indexes and strictly measure the change
in wage rates and employee benefits per
hour. ECIs are superior to Average
Hourly Earnings (AHE) as price proxies
for input price indexes because they are
not affected by shifts in occupation or
industry mix, and because they measure
pure price change and are available by
both occupational group and by
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industry. The industry ECIs are based
on the 2004 North American Industry
Classification System (NAICS).
• Producer Price Indexes. Producer
Price Indexes (PPIs) measure price
changes for goods sold in other than
retail markets. PPIs are used when the
purchases of goods or services are made
at the wholesale level.
• Consumer Price Indexes. Consumer
Price Indexes (CPIs) measure change in
the prices of final goods and services
bought by consumers. CPIs are only
used when the purchases are similar to
those of retail consumers rather than
purchases at the wholesale level, or if
no appropriate PPI were available.
We evaluated the price proxies using
the criteria of reliability, timeliness,
availability, and relevance. Reliability
indicates that the index is based on
valid statistical methods and has low
sampling variability. Widely accepted
statistical methods ensure that the data
were collected and aggregated in a way
that can be replicated. Low sampling
variability is desirable because it
indicates that the sample reflects the
typical members of the population.
(Sampling variability is variation that
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occurs by chance because only a sample
was surveyed rather than the entire
population.) Timeliness implies that the
proxy is published regularly, preferably
at least once a quarter. The market
baskets are updated quarterly, and
therefore, it is important for the
underlying price proxies to be up-todate, reflecting the most recent data
available. We believe that using proxies
that are published regularly (at least
quarterly, whenever possible) helps to
ensure that we are using the most recent
data available to update the market
basket. We strive to use publications
that are disseminated frequently,
because we believe that this is an
optimal way to stay abreast of the most
current data available. Availability
means that the proxy is publicly
available. We prefer that our proxies are
publicly available because this will help
ensure that our market basket updates
are as transparent to the public as
possible. In addition, this enables the
public to be able to obtain the price
proxy data on a regular basis. Finally,
relevance means that the proxy is
applicable and representative of the cost
category weight to which it is applied.
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The CPIs, PPIs, and ECIs that we have
selected to propose in this regulation
meet these criteria. Therefore, we
believe that they continue to be the best
measure of price changes for the cost
categories to which they would be
applied.
As discussed above, we propose that
if the 2007 Benchmark I–O data become
available between the proposed and
final rule with sufficient time to
incorporate such data into the final rule,
we would incorporate these data, as
appropriate, into the FY 2010-based
SNF market basket for the final rule. In
addition, we propose that to the extent
the incorporation of the 2007
Benchmark I–O data results in a
different composition of costs included
in a particular cost category, we would
revise that specific price proxy, as
appropriate, to ensure that the costs
included in each detailed cost category
are aligned with the most appropriate
price proxy. Table 15 lists all price
proxies for the proposed revised and
rebased SNF market basket. Below is a
detailed explanation of the price proxies
used for each cost category weight.
• Wages and Salaries: We are
proposing to use the ECI for Wages and
Salaries for Nursing Care Facilities
(Private Industry) (NAICS 6231; BLS
series code CIU2026231000000I) to
measure price growth of this category.
The FY 2004-based SNF market basket
used a blended index based on 50
percent of the ECI for wages and salaries
for nursing and residential care facilities
(NAICS 623) and 50 percent of the ECI
for wages and salaries for hospital
workers (NAICS 622). For the FY 2010based SNF market basket, we are
proposing to use the Nursing Care
Facilities ECI, as we believe this ECI
better reflects wage trends consistent
with services provided by Medicarecertified SNFs.
NAICS 623 includes facilities that
provide a mix of health and social
services, with many of the health
services being largely some level of
nursing services. Within NAICS 623 is
NAICS 6231, which includes nursing
care facilities primarily engaged in
providing inpatient nursing and
rehabilitative services. These facilities,
which are most comparable to
Medicare-certified SNFs, provide skilled
nursing and continuous personal care
services for an extended period of time,
and therefore, have a permanent core
staff of registered or licensed practical
nurses. At the time of the last rebasing,
BLS had just begun publishing ECI data
for the more detailed nursing care
facilities (NAICS 6231), and therefore,
IGI, the economic forecasting firm, was
unable to forecast this price proxy.
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BLS has now published over six years
of historical data for the ECI for Nursing
Care Facilities (NAICS 6231), which
allows IGI to create a forecast for this
detailed index. Additionally, in
analyzing the historical trends, we
believe this ECI is the most technically
appropriate wage concept to use for the
proposed revised and rebased 2010based SNF market basket as it is most
comparable to Medicare-certified SNFs,
which are engaged in providing
inpatient nursing and rehabilitative
services.
• Employee Benefits: We are
proposing to use the ECI for Benefits for
Nursing Care Facilities (NAICS 6231) to
measure price growth of this category.
The ECI for Benefits for Nursing Care
Facilities is calculated using BLS’s total
compensation (BLS series ID
CIU2016231000000I) for nursing care
facilities series and the relative
importance of wages and salaries within
total compensation. We believe this ECI
and constructed series is technically
appropriate for the reason stated above
in the wages and salaries price proxy
section. We used a blended benefits
index in the FY 2004-based SNF market
basket.
• Electricity: We are proposing to use
the PPI for Commercial Electric Power
(BLS series code WPU0542) to measure
the price growth of this cost category.
We used the same index in the FY 2004based SNF market basket.
• Fuels, nonhighway: We are
proposing to use the PPI for Commercial
Natural Gas (BLS series code WPU0552)
to measure the price growth of this cost
category. We used the same index in the
FY 2004-based SNF market basket.
• Water and Sewerage: We are
proposing to use the CPI for Water and
Sewerage Maintenance (All Urban
Consumers) (BLS series code
CUUR0000SEHG01) to measure the
price growth of this cost category. We
used the same index in the FY 2004based SNF market basket.
• Professional Liability Insurance: We
are proposing to use the CMS Hospital
Professional Liability Insurance Index to
measure price growth of this category.
In the FY 2008 proposed rule (72 FR
25552), we stated our difficulties
associated with pricing malpractice
costs experienced in all healthcare
sectors, including hospitals and
physicians. We also stated our intent to
research alternative data sources, such
as obtaining the data directly from the
individual states’ Departments of
Insurance. We were unable to find a
reliable data source that collects SNFspecific PLI data. Therefore, we are
proposing to use the CMS Hospital
Professional Liability Index, which
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tracks price changes for commercial
insurance premiums for a fixed level of
coverage, holding nonprice factors
constant (such as a change in the level
of coverage). We used the same index in
the FY 2004-based SNF market basket.
We believe this is an appropriate proxy
to measure the price growth associated
with SNF professional liability
insurance, as it captures the price
inflation associated with other medical
institutions that serve Medicare
patients.
• Pharmaceuticals: We are proposing
to use the PPI for Pharmaceuticals for
Human Use, Prescription (BLS series
code WPUSI07003) to measure the price
growth of this cost category. This is the
same proxy that was used in the FY
2004-based SNF market basket, though
BLS has since changed the naming
convention of this series.
• Food: Wholesale Purchases: We are
proposing to use the PPI for Processed
Foods and Feeds (BLS series code
WPU02) to measure the price growth of
this cost category. We used the same
index in the FY 2004-based SNF market
basket.
• Food: Retail Purchase: We are
proposing to use the CPI for Food Away
From Home (All Urban Consumers)
(BLS series code CUUR0000SEFV) to
measure the price growth of this cost
category. We used the same index in the
FY 2004-based SNF market basket.
• Chemicals: For measuring price
change in the Chemicals cost category,
we are proposing to use a blended PPI
composed of the PPIs for Other Basic
Organic Chemical Manufacturing
(NAICS 325190) (BLS series code
PCU32519–32519), Paint and Coating
Manufacturing (NAICS 325510) (BLS
series code PCU32551–32551), Soap and
Cleaning Compound Manufacturing
(NAICS 325610) (BLS series code
PCU32561–32561), and All Other
Chemical Product and Preparation
Manufacturing (NAICS 3259A0) (BLS
series code PCU3259–3259).
Using the 2002 Benchmark I–O data,
we found that these four NAICS
industries accounted for approximately
95 percent of SNF chemical expenses.
The remaining 5 percent of SNF
chemical expenses are for five other
incidental NAICS chemicals industries,
such as Alkalies and Chlorine
Manufacturing. We are proposing to
create a blended index based on those
four NAICS chemical expenses listed
above that account for 95 percent of
SNF chemical expenses. We are
proposing to create a blend based on
each NAICS’ expenses as a share of their
sum. As stated above, we propose that
if the 2007 Benchmark I–O data become
available between the proposed and
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final rule with sufficient time to
incorporate such data into the final rule,
we would incorporate these data, as
appropriate, into the FY 2010-based
SNF market basket for the final rule. In
addition, we propose that to the extent
the incorporation of the 2007
Benchmark I–O data results in a
different composition of chemical costs,
we may revise, as appropriate, the
blended chemical index set forth above
to reflect these more recent data on SNF
26459
chemical purchases, to better align the
costs with its price proxy. Table 14
below provides the weights for the
blended chemical index.
TABLE 14—PROPOSED CHEMICAL BLENDED INDEX WEIGHTS
NAICS
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325190
325510
325610
3259A0
......................................................
......................................................
......................................................
......................................................
Other basic organic chemical manufacturing ..............................................................
Paint and coating manufacturing .................................................................................
Soap and cleaning compound manufacturing .............................................................
All other chemical product and preparation manufacturing .........................................
.......................................................................................................................................
The FY 2004-based SNF market basket
also used a blended chemical proxy that
was based on 1997 Benchmark I–O data.
We believe our proposed chemical
blended index for the FY 2010-based
SNF market basket is technically
appropriate, as it reflects more recent
data on SNFs’ purchasing patterns.
• Medical Instruments and Supplies:
We are proposing to use the PPI for
Medical, Surgical, and Personal Aid
Devices (BLS series code WPU156) to
measure the price growth of this cost
category. The FY 2004-based SNF
market basket did not include a separate
cost category for these expenses. Rather,
these expenses were classified in the
miscellaneous products cost category
and proxied by the PPI for Finished
Goods less Food and Energy (BLS series
code WPUSOP3500). As stated above,
we are proposing to break-out this cost
category to proxy these expenses by a
more specific price index that better
reflects the price growth of medical
instruments and supplies.
• Rubber and Plastics: We are
proposing to use the PPI for Rubber and
Plastic Products (BLS series code
WPU07) to measure price growth of this
cost category. We used the same index
in the FY 2004-based SNF market
basket.
• Paper and Printing Products: We
are proposing to use the PPI for
Converted Paper and Paperboard
Products (BLS series code WPU0915) to
measure the price growth of this cost
category. We used the same index in the
FY 2004-based SNF market basket.
• Apparel: We are proposing to use
the PPI for Apparel (BLS series code
WPU0381) to measure the price growth
of this cost category. The FY 2004-based
SNF market basket did not have a
separate cost category for these
expenses. Rather, these expenses were
classified in the miscellaneous products
cost category and proxied by the PPI for
Finished Goods less Food and Energy.
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(percent)
Industry description
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As stated above, we are proposing to
break-out this cost category to proxy
these expenses by a more specific price
index that better reflects the price
growth of apparel products.
• Machinery and Equipment: We are
proposing to use the PPI for Machinery
and Equipment (BLS series code
WPU11) to measure the price growth of
this cost category. The 2004-based index
did not have a separate cost category for
these expenses. Rather, these expenses
were classified in the miscellaneous
products cost category and proxied by
the PPI for Finished Goods less Food
and Energy (BLS series code
WPUSOP3500). As stated above, we are
proposing to break-out this cost category
to proxy these expenses by a more
specific price index that reflects the
price growth of machinery and
equipment.
• Miscellaneous Products: For
measuring price change in the
Miscellaneous Products cost category,
we are proposing to use the PPI for
Finished Goods less Food and Energy
(BLS series code WPUSOP3500). Both
food and energy are already adequately
represented in separate cost categories
and should not also be reflected in this
cost category. We used the same index
in the FY 2004-based SNF market
basket.
• Nonmedical Professional Fees:
Labor-Related and Nonmedical
Professional Fees: Nonlabor-Related:
We are proposing to use the ECI for
Total Compensation for Professional
and Related Occupations (Private
Industry) (BLS series code
CIU2010000120000I) to measure the
price growth of these categories. As
described in more detail below, for this
revising and rebasing of the SNF market
basket we are proposing to divide the
nonmedical professional fees cost
category into two separate cost
categories: (1) Nonmedical professional
fees: labor-related; and (2) nonmedical
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7
12
49
32
100
professional fees: Nonlabor-related. By
separating these two categories we are
able to identify more precisely which
categories are to be included in the
labor-related share, which is used in
applying the SNF PPS geographic
adjustment factor. We are proposing to
proxy both of these cost categories by
the ECI for Total Compensation for
Professional and Related Occupations
(Private Industry). This is the same
proxy that was used in the FY 2004based SNF market basket.
• Administrative and Facilities
Support Services: We are proposing to
use the ECI for Total Compensation for
Office and Administrative Support
Services (Private Industry) (BLS series
code CIU2010000220000I) to measure
the price growth of this category. The
FY 2004-based SNF market basket did
not have a separate cost category for
these expenses. Rather, these expenses
were classified under labor intensive
services and proxied by the ECI for
Compensation for Service Occupations
(Private Industry). As stated above, we
are proposing to create a separate cost
category for these expenses to reflect the
specific price changes associated with
these services.
• All Other: Labor-Related Services:
We are proposing to use the ECI for
Total Compensation for Service
Occupations (Private Industry) (BLS
series code CIU2010000300000I) to
measure the price growth of this cost
category (previously referred to as the
labor-intensive cost category in the FY
2004-based SNF market basket index).
We used the same index in the FY 2004based SNF market basket. As explained
above, for this revising and rebasing of
the SNF market basket, we are
proposing to revise our label for the
labor-intensive services to the all other:
labor-related services.
• Financial Services: We are
proposing to use the ECI for Total
Compensation for Financial Activities
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(Private Industry) (BLS series code
CIU201520A000000I) to measure the
price growth of this cost category. The
FY 2004-based SNF market basket did
not have a separate cost category for
these expenses. Rather, these expenses
were classified under nonlabor
intensive services cost category and
proxied by the CPI for All Items (Urban).
As stated above, we are proposing to
create a separate cost category for these
expenses to reflect the specific price
changes associated with these services.
• Telephone Services: We are
proposing to use the CPI for Telephone
Services (Urban) (BLS series code
CUUR0000SEED) to measure the price
growth of this cost category. We used
the same index in the FY 2004-based
SNF market basket.
• Postage: We are proposing to use
the CPI for Postage and Delivery
Services (Urban) (BLS series code
CUUR0000SEEC) to measure the price
growth of this cost category. We used
the same index in the FY 2004-based
SNF market basket.
• All Other: NonLabor-Related
Services: We are proposing to use the
CPI for All Items Less Food and Energy
(BLS series code CUUR0000SA0L1E) to
measure the price growth of this cost
category (previously referred to as the
nonlabor-intensive cost category in the
FY 2004-based SNF market basket
index). Previously these costs were
proxied by the CPI for All Items (Urban).
We believe that using the CPI for All
Items Less Food and Energy (BLS series
code CUUR0000SA0L1E) will remove
any double-counting of food and energy
prices, which are already captured
elsewhere in the market basket.
Consequently, we believe that the
incorporation of this proxy represents a
technical improvement to the market
basket.
• Capital-Related Expenses: For the
capital price proxies (with the exception
of the price proxy for the other capitalrelated cost category weight), we
calculate vintage weighted price
proxies. The methodology used to
derive the vintage weights was
described above. Below, we describe the
price proxies for the SNF capital-related
expenses:
• Depreciation—Building and Fixed
Equipment: For measuring price change
in this cost category, we are proposing
to use BEA’s chained price index for
nonresidential construction for hospital
and special care facilities. This is a
publicly available price index used by
BEA to deflate current-dollar private
fixed investment for hospitals and
special care facilities. The 2004-based
index used the Boeckh Institutional
Construction Index, which is not
publicly available. We compared the
BEA index with the Boeckh Institutional
Construction Index and found that the
average growth rates in the two series
were similar over the historical time
period. We are proposing to use the BEA
price index in the FY 2010-based SNF
market basket as this index is a publicly
available index that reflects the price
inflation associated with nonresidential
construction, such as the construction of
hospitals and special care facilities. As
stated above, we prefer that our proxies
are publicly available because this will
help ensure that our market basket
updates are as transparent to the public
as possible.
• Depreciation—Movable Equipment:
For measuring price change in this cost
category, we are proposing to use the
PPI for Machinery and Equipment (BLS
series code WPU11). The same price
proxy was used in the FY 2004-based
SNF market basket index.
• Interest—Government and
Nonprofit SNFs: For measuring price
change in this cost category, we are
proposing to use the Average Yield for
Municipal Bonds from the Bond Buyer
Index of 20 bonds. CMS input price
indexes, including this proposed
rebased and revised SNF market basket,
appropriately reflect the rate of change
in the price proxy and not the level of
the price proxy. While SNFs may face
different interest rate levels than those
included in the Bond Buyer Index, the
rate of change between the two is not
significantly different. The same price
proxy was used in the FY 2004-based
SNF market basket index.
• Interest—For-profit SNFs: For
measuring price change in this cost
category, we are proposing to use the
Average Yield for Moody’s AAA
Corporate Bonds. Again, the proposed
revised and rebased SNF market basket
index focuses on the rate of change in
this interest rate, not on the level of the
interest rate. The same price proxy was
used in the FY 2004-based SNF market
basket index.
• Other Capital-related Expenses: For
measuring price change in this cost
category, we are proposing the CPI–U
for Rent of Primary Residence (BLS
series ID CUUR0000SEHA). The same
price proxy was used in the FY2004based SNF market basket index, though
the naming convention is slightly
different as we have provided the full
BLS naming convention.
Table 15 shows the proposed price
proxies for the FY 2010-based SNF
Market Basket.
TABLE 15—PROPOSED PRICE PROXIES FOR THE FY 2010-BASED SNF MARKET BASKET
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Cost category
Weight
Compensation .............................................................................
Wages and Salaries ............................................................
Employee Benefits ...............................................................
Utilities .........................................................................................
Electricity ..............................................................................
Fuels, Nonhighway ..............................................................
Water and Sewerage ...........................................................
Professional Liability Insurance ..................................................
All Other ......................................................................................
Other Products .....................................................................
Pharmaceuticals ...........................................................
Food, Wholesale Purchase ..........................................
Food, Retail Purchases ................................................
Chemicals .....................................................................
Medical Instruments and Supplies ...............................
Rubber and Plastics .....................................................
Paper and Printing Products ........................................
Apparel .........................................................................
Machinery and Equipment ............................................
Miscellaneous Products ................................................
All Other Services ................................................................
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62.093
50.573
11.520
2.223
1.411
0.667
0.145
1.141
27.183
16.148
7.872
3.661
1.190
0.166
0.764
0.981
0.838
0.195
0.190
0.291
11.035
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Proposed price proxy
ECI for Wages and Salaries for Nursing Care Facilities.
ECI for Benefits for Nursing Care Facilities.
PPI for Commercial Electric Power.
PPI for Commercial Natural Gas.
CPI–U for Water and Sewerage Maintenance.
CMS Hospital Professional Liability Insurance Index.
PPI for Pharmaceuticals for Human Use, Prescription.
PPI for Processed Foods and Feeds.
CPI–U for Food Away From Home.
Blend of Chemical PPIs.
PPI for Medical, Surgical, and Personal Aid Devices.
PPI for Rubber and Plastic Products.
PPI for Converted Paper and Paperboard Products.
PPI for Apparel.
PPI for Machinery and Equipment.
PPI for Finished Goods Less Food and Energy.
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TABLE 15—PROPOSED PRICE PROXIES FOR THE FY 2010-BASED SNF MARKET BASKET—Continued
Cost category
Weight
Labor-Related Services ................................................
Nonmedical Professional Fees: Labor-related ......
6.227
3.427
Administrative and Facilities Support ....................
0.497
All Other: Labor-Related Services ........................
Non Labor-Related Services ........................................
Nonmedical Professional Fees: Non Labor-Related.
Financial Services .................................................
Telephone Services ...............................................
Postage .................................................................
All Other: Nonlabor-Related Services ...................
Capital-Related Expenses ..........................................................
Total Depreciation ................................................................
Building and Fixed Equipment .....................................
2.303
4.808
2.042
Movable Equipment ......................................................
0.479
Total Interest ........................................................................
For-Profit SNFs .............................................................
2.096
0.869
Government and Nonprofit SNFs .................................
1.227
Other Capital-Related Expenses .........................................
2.084
Total ............................................................................................
Proposed price proxy
100.000
4. Proposed Market Basket Estimate for
the FY 2014 SNF PPS Update
As discussed previously in this
proposed rule, beginning with the FY
2014 SNF PPS update, we are proposing
to adopt the FY 2010-based SNF market
basket as the appropriate market basket
of goods and services for the SNF PPS.
Based on IGI’s first quarter 2013
forecast with history through the fourth
quarter of 2012, the most recent estimate
of the proposed FY 2010-based SNF
0.899
0.572
0.240
1.055
7.360
3.180
2.701
ECI for Total Compensation for Professional and Related Occupations.
ECI for Total Compensation for Office and Administrative Support.
ECI for Total Compensation for Service Occupations.
ECI for Total Compensation for Professional and Related Occupations.
ECI for Total Compensation for Financial Activities.
CPI–U for Telephone Services.
CPI–U for Postage and Delivery Services.
CPI–U for All Items Less Food and Energy.
BEA chained price index for nonresidential construction for
hospitals and special care facilities—vintage weighted (25
years).
PPI for Machinery and Equipment—vintage weighted (6
years).
Average yield on municipal bonds (Bond Buyer Index 20
bonds)—vintage weighted (22 years).
Average yield on Moody’s AAA corporate bonds—vintage
weighted (22 years).
CPI–U for Rent of Primary Residence.
market basket for FY 2014 is 2.3
percent. IGI is a nationally recognized
economic and financial forecasting firm
that contracts with CMS to forecast the
components of CMS’ market baskets.
Based on IGI’s first quarter 2013 forecast
with history through the fourth quarter
of 2012, the estimate of the current FY
2004-based SNF market basket for FY
2014 is 2.5 percent.
Table 16 compares the proposed FY
2010-based SNF market basket and the
FY 2004-based SNF market basket
percent changes. For the historical
period between FY 2008 and FY 2012,
the average difference between the two
market baskets is ¥0.3 percentage
point. This is primarily the result of
lower compensation price increases in
the FY 2010-based market basket
compared to the FY 2004-based SNF
market basket. For the forecasted period
between FY 2013 and FY 2015, the
difference in the market basket forecasts
is similar.
TABLE 16—PROPOSED FY 2010-BASED SNF MARKET BASKET AND FY 2004-BASED SNF MARKET BASKET, PERCENT
CHANGES: 2008–2015
Proposed rebased
FY 2010-based
SNF market
basket
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Fiscal year (FY)
Historical data:
FY 2008 ................................................................................................................................................
FY 2009 ................................................................................................................................................
FY 2010 ................................................................................................................................................
FY 2011 ................................................................................................................................................
FY 2012 ................................................................................................................................................
Average FY 2008–2012 ................................................................................................................
Forecast:
FY 2013 ................................................................................................................................................
FY 2014 ................................................................................................................................................
FY 2015 ................................................................................................................................................
Average FY 2013–2015 ................................................................................................................
3.5
2.4
1.8
2.0
1.8
2.3
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2.8
2.0
2.2
2.2
2.6
1.9
2.3
2.4
2.2
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2.5
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2.5
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5. Labor-Related Share
We define the labor-related share
(LRS) as those expenses that are laborintensive and vary with, or are
influenced by, the local labor market.
Each year, we calculate a revised laborrelated share based on the relative
importance of labor-related cost
categories in the input price index. In
this FY 2014 SNF PPS proposed rule,
we are proposing to revise the laborrelated share to reflect the relative
importance of the following proposed
FY 2010-based SNF market basket cost
weights that we believe are laborintensive and vary with, or are
influenced by, the local labor market: (1)
Wages and salaries; (2) employee
benefits; (3) contract labor; (4) the laborrelated portion of nonmedical
professional fees; (5) administrative and
facilities support services; (6) all other:
labor-related services (previously
referred to in the FY 2004-based SNF
market basket as labor-intensive); and
(7) a proportion of capital-related
expenses. We are proposing to continue
to include a proportion of capitalrelated expenses because a portion of
these expenses are deemed to be laborintensive and vary with, or are
influenced by, the local labor market.
For example, a proportion of
construction costs for a medical
building would be attributable to local
construction workers’ compensation
expenses.
Consistent with previous SNF market
basket revisions and rebasings, the ‘‘all
other: labor-related services’’ cost
category is mostly comprised of
building maintenance and security
services (including, but not limited to,
commercial and industrial machinery
and equipment repair, nonresidential
maintenance and repair, and
investigation and security services).
Because these services tend to be laborintensive and are mostly performed at
the SNF facility (and therefore, unlikely
to be purchased in the national market),
we believe that they meet our definition
of labor-related services.
For the proposed FY 2010-based SNF
market basket, the proposed inclusion of
the administrative and facilities support
services cost category into the laborrelated share remains consistent with
the current labor-related share, since
this cost category was previously
included in the FY 2004-based SNF
market basket labor-intensive cost
category. As previously stated, we are
proposing to establish a separate
administrative and facilities support
services cost category so that we can use
the ECI for Total Compensation for
Office and Administrative Support
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Services to reflect the specific price
changes associated with these services.
For the FY 2004-based SNF market
basket, we assumed that all nonmedical
professional services (including
accounting and auditing services,
engineering services, legal services, and
management and consulting services)
were purchased in the local labor
market and, thus, all of their associated
fees varied with the local labor market.
As a result, we previously included 100
percent of these costs in the laborrelated share. In an effort to determine
more accurately the share of nonmedical
professional fees that should be
included in the labor-related share, we
surveyed SNFs regarding the proportion
of those fees that are attributable to local
firms and the proportion that are
purchased from national firms. We
notified the public of our intent to
conduct this survey on December 9,
2005 (70 FR 73250) and received no
comments (71 FR 8588).
With approval from OMB, we reached
out to the industry and received
responses to our survey from 141 SNFs.
Using data on full-time equivalents to
allocate responding SNFs across strata
(region of the country and urban/rural
status), post-stratification weights were
calculated. Based on these weighted
results, we determined that SNFs
purchase, on average, the following
portions of contracted professional
services inside their local labor market:
• 86 percent of accounting and
auditing services.
• 89 percent of architectural,
engineering services.
• 78 percent of legal services.
• 87 percent of management
consulting services.
Together, these four categories
represent 2.672 percentage points of the
total costs for the proposed FY 2010based SNF market basket. We applied
the percentages from this special survey
to their respective SNF market basket
weights to separate them into laborrelated and nonlabor-related costs. As a
result, we are designating 2.285 of the
2.672 total to the labor-related share,
with the remaining 0.387 categorized as
nonlabor-related.
In addition to the professional
services listed above, we also classified
expenses under NAICS 55, Management
of Companies and Enterprises, into the
nonmedical professional fees cost
category. The NAICS 55 data are mostly
comprised of corporate, subsidiary, and
regional managing offices, or otherwise
referred to as home offices. Formerly, all
of the expenses within this category
were considered to vary with, or be
influenced by, the local labor market,
and thus, were included in the labor-
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related share. Because many SNFs are
not located in the same geographic area
as their home office, we analyzed data
from a variety of sources to determine
what proportion of these costs should be
appropriately included in the laborrelated share.
Our proposed methodology is based
on data from the MCRs, as well as a
CMS database of Home Office Medicare
Records (HOMER) (a database that
provides city and state information
(addresses) for home offices). The MCR
requires SNFs to report their home
office compensation costs. Using the
HOMER database to determine the home
office location for each home office
provider number, we compared the
location of the SNF with the location of
the SNF’s home office. We propose to
determine the proportion of NAICS 55
costs that should be allocated to the
labor-related share based on the percent
of SNF home office compensation
attributable to SNFs that had home
offices located in their respective local
labor markets—defined as being in the
same MSA. We determined a SNF’s
MSA using its Zip Code information
from the MCR, while a home office MSA
was determined using the Medicare
HOMER Database, which provided a
home office Zip Code, as well.
As stated above, we are proposing to
determine the proportion of NAICS 55
costs that should be allocated to the
labor-related share based on the percent
of SNF home office compensation
attributable to those SNFs that had
home offices located in their respective
labor markets. Using this proposed
methodology, we determined that 32
percent of SNF home office
compensation costs were for SNFs that
had home offices located in their
respective local labor markets; therefore,
we propose to allocate 32 percent of
NAICS 55 expenses to the labor-related
share. We believe that this methodology
provides a reasonable estimate of the
NAICS 55 expenses that are
appropriately allocated to the laborrelated share, because we primarily rely
on data on home office compensation
costs as provided by SNFs on Medicare
cost reports. By combining these data
with the specific MSAs for the SNF and
their associated home office, we believe
we have a reasonable estimate of the
proportion of SNF’s home office costs
that would be incurred in the local labor
market.
In the proposed FY 2010-based SNF
market basket, NAICS 55 expenses that
were subject to allocation based on the
home office allocation methodology
represent 1.833 percent of the total
costs. Based on the home office results,
we are apportioning 0.587 percentage
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point of the 1.833 percentage points
figure into the labor-related share and
designating the remaining 1.247
percentage points as nonlabor-related.
The Benchmark I–O data contains
other smaller cost categories that we
allocate fully to either ‘‘nonmedical
professional fees: Labor-related’’ or
‘‘nonmedical professional fees:
nonlabor-related.’’ Together, the sum of
these smaller cost categories, the four
nonmedical professional fees cost
categories where survey results were
available, and the NAICS 55 expenses
represent all nonmedical professional
fees, or 5.469 percent of total costs in
the SNF market basket. Of the 5.469
percentage points, 3.427 percentage
points represent professional fees:
Labor-related while 2.042 percentage
points represent nonmedical
professional fees: Nonlabor-related.
26463
Each year, we calculate a revised
labor-related share based on the relative
importance of labor-related cost
categories in the SNF market basket.
Table 17 summarizes the proposed
updated labor-related share for FY 2014,
which is based on the proposed rebased
and revised FY 2010-based SNF market
basket, compared to the labor-related
share that was used for the FY 2013 SNF
PPS update.
TABLE 17—LABOR-RELATED RELATIVE IMPORTANCE, FY 2013 AND FY 2014
Relative
importance,
labor-related,
FY 2013 (FY
2004-based index)
12:2 forecast
Relative
importance,
labor-related,
FY 2014 (FY
2010-based index)
13:1 forecast
Wages and salaries1 ...................................................................................................................................
Employee benefits .......................................................................................................................................
Nonmedical Professional fees: labor-related ...............................................................................................
Administrative and facilities support services ..............................................................................................
All Other: Labor-related services2 ...............................................................................................................
Capital-related (.391) ...................................................................................................................................
49.847
11.532
1.307
N/A
3.364
2.333
49.204
11.546
3.451
0.501
2.292
2.770
Total ......................................................................................................................................................
68.383
69.764
1
2
As discussed above in section V.A.2 in this preamble, the wages and salaries and employee benefits cost weight reflect contract labor costs.
Previously referred to as labor-intensive services cost category in the FY 2004 -based SNF market basket.
B. Monitoring Impact of FY 2012 Policy
Changes
In the FY 2012 SNF PPS final rule, we
stated we would monitor the impact of
certain FY 2012 policy changes on
various aspects of the SNF PPS (76 FR
48498). Specifically, we have been
monitoring the impact of the following
FY 2012 policy changes:
• Recalibration of the FY 2011 SNF
parity adjustment to align overall
payments under RUG–IV with those
under RUG–III.
• Allocation of group therapy time to
pay more appropriately for group
therapy services based on resource
utilization and cost.
• Implementation of changes to the
MDS 3.0 patient assessment instrument,
most notably the introduction of the
Change-of-Therapy (COT) Other
Medicare Required Assessment
(OMRA).
We have posted quarterly memos to
the SNF PPS Web site which highlight
some of the trends we have observed
over a given time period. These memos
may be accessed through the SNF PPS
Web site at https://www.cms.gov/
Medicare/Medicare-Fee-for-ServicePayment/SNFPPS/Downloads/
SNF_Monitoring.zip. Below, we provide
a summary of the results derived from
this monitoring effort.
1. RUG Distributions
As stated in the FY 2012 SNF PPS
final rule (76 FR 48493), the
recalibration of the FY 2011 parity
adjustment used 8 months of FY 2011
data as the basis for the recalibration.
We observed that case-mix utilization
patterns continued to be consistent over
the final 4 months of FY 2011 and
would not have resulted in a significant
difference in the calculated amount of
the recalibrated parity adjustment. We
have posted data illustrating the RUG–
IV distribution of days for the entirety
of FY 2011, as compared to the days
distribution used to calculate the parity
adjustment in the FY 2012 final rule,
and the distribution of days for FY 2012,
all of which may be found at https://
www.cms.gov/Medicare/Medicare-Feefor-Service-Payment/SNFPPS/
Downloads/SNF_Monitoring.zip.
Additionally, case-mix utilization
observed during FY 2012 has not shown
unanticipated changes in patient
classification. Overall patient case mix
is not significantly different from that
observed in FY 2011. Table 18
illustrates a breakdown of the SNF casemix distribution of service days by the
major RUG classification categories for
FY 2011 and FY 2012.
TABLE 18—SNF CASE-MIX DISTRIBUTIONS BY MAJOR RUG–IV CATEGORY
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FY 2011 (percent)
FY 2012 (percent)
2.5
87.9
0.6
4.6
2.5
0.4
1.5
1.8
88.8
0.7
4.9
2.2
0.3
1.4
Rehabilitation Plus Extensive Services .......................................................................................................
Rehabilitation ...............................................................................................................................................
Extensive Services ......................................................................................................................................
Special Care ................................................................................................................................................
Clinically Complex .......................................................................................................................................
Behavioral Symptoms and Cognitive Performance .....................................................................................
Reduced Physical Function .........................................................................................................................
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As illustrated in Table 18, there has
been a decrease in the Rehabilitation
Plus Extensive Services category and
increases in some of the medicallybased RUG categories, specifically
Special Care and Extensive Services.
It should be noted that the
recalibration of the parity adjustment
applied only to those RUG–IV groups
with a therapy component
(Rehabilitation Plus Extensive Services
and Rehabilitation). This caused a shift
in the hierarchy of nursing case-mix
weights among the various RUG–IV
groups. Since SNFs are permitted to
‘‘index maximize’’ when determining a
resident’s RUG classification (that is, of
those RUGs for which the resident
qualifies, SNFs are permitted to choose
the one with the highest per diem
payment), it is possible that the
aforementioned case-mix distribution
shifts reflect residents that had
previously been classified into therapy
groups but now index maximize into
nursing groups instead.
Looking specifically at the case-mix
distribution for Rehabilitation RUGs
only, the data show an increase in the
percentage of service days at the highest
therapy level (Ultra High Rehabilitation)
in FY 2012. This is illustrated in Table
19.
TABLE 19—SNF CASE-MIX DISTRIBUTION FOR THERAPY RUG–IV GROUPS, BY MINOR RUG–IV THERAPY CATEGORIES
FY 2011 (percent)
FY 2012 (percent)
44.8
26.9
10.8
7.6
0.1
48.6
25.6
10.1
6.2
0.1
Ultra-High Rehabilitation (≥ 720 minutes of therapy per week) ..................................................................
Very-High Rehabilitation (500–719 minutes of therapy per week) .............................................................
High Rehabilitation (325–499 minutes of therapy per week) ......................................................................
Medium Rehabilitation (150–324 minutes of therapy per week) ................................................................
Low Rehabilitation (45–149 minutes of therapy per week) .........................................................................
Although the decreases in the
percentage of service days which
classify into the Very-High, High, and
Medium Rehabilitation RUG–IV therapy
categories may be explained by the
increased utilization of the Ultra-High
Rehabilitation RUG–IV therapy
category, some of the decrease may be
due to index maximization into the
Special Care RUG–IV category.
2. Group Therapy Allocation
To account more accurately for
resource utilization and cost and to
equalize the payment incentives across
therapy modes, we allocated group
therapy time beginning in FY 2012. We
anticipated that this policy would result
in some change to the type of therapy
mode (that is, individual, concurrent, or
group) used for SNF residents. As noted
in the section above, we have not
observed any significant difference in
patient case mix. However, as illustrated
in Table 20, providers have significantly
changed the mode of therapy since our
STRIVE study (2006–2007).
TABLE 20—MODE OF THERAPY PROVISION
STRIVE
(percent)
Individual ....................................................................................................................
Concurrent .................................................................................................................
Group .........................................................................................................................
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In the FY 2010 final rule (74 FR
40288, 40315–40319), we established a
policy that, beginning in FY 2011, we
would allocate concurrent therapy
without the allocation of group therapy
and, as a result, providers shifted from
concurrent therapy to group therapy. In
the FY 2012 SNF PPS final rule (76 FR
48486, 48511–48517), we established a
policy that would allocate group
therapy, and data from FY 2012 indicate
that facilities are providing individual
therapy almost exclusively.
3. MDS 3.0 Changes
In the FY 2012 SNF PPS final rule, we
introduced a new assessment called the
COT OMRA to capture more accurately
the therapy services provided to SNF
residents. Effective for services provided
on or after October 1, 2011, SNFs are
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74
25
<1
required to complete a COT OMRA for
patients classified into a RUG–IV
therapy category (and for patients
receiving therapy services who are
classified into a nursing RUG because of
index maximization), whenever the
intensity of therapy changes to such a
degree that it would no longer reflect
the RUG–IV classification and payment
assigned for the patient based on the
most recent assessment used for
Medicare payment (76 FR 48525). An
evaluation of the necessity for a COT
OMRA must be completed at the end of
each COT observation period, which is
a successive 7-day window beginning
on the day following the ARD set for the
most recent scheduled or unscheduled
PPS assessment (or beginning the day
therapy resumes in cases where an
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FY 2011
(percent)
FY 2012
(percent)
91.8
0.8
7.4
99.5
0.4
0.1
EOT–R OMRA is completed), and
ending every seven calendar days
thereafter. In cases where the resident’s
therapy has changed to such a degree
that it is no longer consistent with the
resident’s current RUG–IV
classification, then the SNF must
complete a COT OMRA to reclassify the
resident into the appropriate RUG–IV
category. The new RUG–IV group
resulting from the COT OMRA is billed
starting the first day of the 7-day COT
observation period for which the COT
OMRA was completed and remains at
this level until a new assessment is
done that changes the patient’s RUG–IV
classification. Table 21 shows the
distribution of all MDS assessment
types as a percentage of all MDS
assessments.
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TABLE 21—DISTRIBUTION OF MDS ASSESSMENT TYPES
FY 2011
(percent)
Scheduled PPS assessment ...............................................................................................................................................
Start-of-Therapy (SOT) OMRA ............................................................................................................................................
End-of-Therapy (EOT) OMRA (w/o Resumption) ...............................................................................................................
Combined SOT/EOT OMRA ................................................................................................................................................
End-of-Therapy OMRA (w/Resumption) (EOT–R OMRA) ..................................................................................................
Combined SOT/EOT–R OMRA ...........................................................................................................................................
Change-of-Therapy (COT) OMRA .......................................................................................................................................
Prior to the implementation of the
COT OMRA, scheduled PPS
assessments comprised the vast majority
of completed assessments. With the
implementation of the COT OMRA for
FY 2012, scheduled PPS assessments
still comprise the vast majority of
completed MDS assessments, though
the COT OMRA is the most frequently
completed OMRA.
4. Conclusion
Information related to our monitoring
activities is posted on the SNF PPS Web
site at https://www.cms.gov/Medicare/
Medicare-Fee-for-Service-Payment/
SNFPPS/Downloads/
SNF_Monitoring.zip. Based on the data
reviewed thus far, we have found no
evidence of the possible negative
impacts on SNF providers cited in
comments in the FY 2012 final rule (see
76 FR 48497–98, 48537), particularly
references to a potential ‘‘double hit’’
from the combined impact of the
recalibration of the FY 2011 SNF parity
adjustment and the FY 2012 policy
changes (for example, allocation of
group therapy time and introduction of
the COT OMRA). As noted in the data
provided in this section, overall case
mix has not been affected significantly,
which suggests that the aforementioned
changes, while ensuring more accurate
payment, have been absorbed into
facility practices in such a manner that
facilities continue to maintain historical
trends in terms of patient case mix.
Therefore, while we will continue our
SNF monitoring efforts, we will post
information to the aforementioned Web
site only as appropriate.
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C. Ensuring Accuracy in Grouping to
Rehabilitation RUG–IV Categories
As noted in section III.C of this
proposed rule, under section
1888(e)(4)(G)(i) of the Act, the federal
rate incorporates an adjustment to
account for facility case mix, using a
classification system that accounts for
the relative resource utilization of
different patient types. As part of the
Nursing Home Case-Mix and Quality
demonstration project, Version III of the
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Resource Utilization Groups (RUG–III)
case-mix classification system was
developed to capture resource use of
nursing home patients and to provide an
improved method of tracking the quality
of their care. In 1998, the first version
of RUG–III was a 44-group model for
classifying SNF patients into
homogeneous groups according to their
clinical characteristics and the amount
and type of resources they use as
measured by the Resident Assessment
Instrument, the Minimum Data Set
(MDS). A detailed description of the
RUG–III groups appears in the interim
final rule with comment period from
May 12, 1998 (63 FR 26262–26263). The
RUG–III groups were the basis for the
case mix indexes used to establish
equitable prospective payment levels for
patients with different service use.
In FY 2006, the RUG–III classification
system was refined to include 53 groups
for case-mix classification that
continued to be based on patient data
collected on the MDS 2.0. This reflected
the addition of 9 new RUG groups
comprising a new Extensive Services
plus Rehabilitation payment category, to
account for the higher cost of
beneficiaries requiring both
rehabilitation and certain high-intensity
medical services. A detailed explanation
of the RUG–III refinement appears in the
FY 2006 proposed rule (70 FR 29076–
29079, May 19, 2005).
In FY 2011, the RUG–IV classification
system was implemented and included
66 groups for case-mix classification
based on patient data collected on the
newest version of the Resident
Assessment Instrument, MDS 3.0. A
detailed explanation of the RUG–IV
model appears in the FY 2010 proposed
rule (74 FR 22220–22238, May 12,
2009).
In the May 12, 1998 interim final rule
with comment period (63 FR 26252,
26256), we explained how the RUG–III
system was used to place SNF patients
into one of 44 patient groups or
subcategories used for payment. The
RUG category of Medium Rehabilitation
(Medium Rehab) was explained in
conjunction with the RUG categories of
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95
2
3
0
N/A
N/A
N/A
FY 2012
(percent)
84
2
3
0
0
0
11
High and Very High Rehabilitation.
Among other requirements specific to
each category, ‘‘all three require at least
5 days per week of skilled rehabilitative
therapy, but they are split according to
weekly treatment time’’ (63 FR 26258).
To qualify for Medium Rehab, a patient
also needs to receive at least 150
minutes of therapy of any combination
of the three rehabilitation disciplines:
physical therapy, occupational therapy,
and speech therapy.
Subsequently, across all iterations of
the SNF PPS (including the RUG
refinement in FY 2006 and the
transition from RUG–III to RUG–IV in
FY 2011), the criteria for classification
into the Medium Rehab category
remained the same. As set forth in the
FY 2010 final rule (74 FR 40389), to be
classified into the Medium Rehab
category under RUG III or RUG IV, the
resident must receive ‘‘5 days any
combination of 3 rehabilitation
disciplines.’’ In order for the SNF
resident to qualify for the Medium
Rehab or Medium Rehab plus Extensive
Services category, he or she must
receive five distinct calendar days of
therapy within a 7-day time period (and
at least 150 minutes of therapy across
that time as well). This reflects the SNF
level of care requirement under
§ 409.31(b)(1) that skilled services must
be needed and received on a daily basis,
and the provision at § 409.34(a)(2)
which specifies that the ‘‘daily basis’’
criterion can be met by skilled
rehabilitation services that are needed
and provided at least 5 days per week.
Further, the payment rates for these
RUG groups were based on staff time
over the requisite number of distinct
therapy days. For example, the policy
would be implemented correctly if a
patient received a total of 150 minutes
of therapy in the form of physical
therapy on Monday and Wednesday,
occupational therapy on Sunday and
Tuesday, and speech therapy on Friday.
In this example, therapy services are
being provided over a separate and
distinct 5-day period (Sunday, Monday,
Tuesday, Wednesday, and Friday).
Similarly, 5 distinct calendar days of
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therapy are required to classify into the
High, Very High, and Ultra High
Rehabilitation categories. The amount of
therapy provided over the 7-day lookback period is currently recorded on the
MDS 3.0 in section O, item O0400A,
O0400B, and O0400C.
Medium Rehab and Medium Rehab
Plus Extensive Services qualifiers
remained the same under the SNF PPS
from 1998 until the present; however,
the MDS did not contain the appropriate
items to permit providers to report the
number of distinct calendar days of
therapy that a particular resident
receives during a given week,
inadvertently allowing residents who do
not meet the Medium Rehab and
Medium Rehab Plus Extensive Services
qualifiers (under the intended policy as
discussed above) to classify
inappropriately into those RUG
categories. For example, a resident
receives 150 minutes of therapy in the
form of physical therapy and
occupational therapy on Monday (one
session of physical therapy and one
session of occupational therapy) and
Wednesday (one session of physical
therapy and one session of occupational
therapy) and speech therapy on Friday.
The intent of the Medium Rehab
classification criteria is for such a
resident not to classify into the Medium
Rehab RUG category, since he or she
only received therapy on 3 days
(Monday, Wednesday, and Friday)
during the 7-day look-back period for
this PPS assessment. However, the MDS
item set only requires the SNF to record
the number of days therapy was
received by each therapy discipline
during that 7-day look-back period,
without distinguishing between distinct
calendar days. Thus, in the example
above, the SNF would record on the
MDS: 2 days of physical therapy, 2 days
of occupational therapy, and 1 day of
speech therapy. Currently, the RUG
grouper adds these days together,
allowing the resident described above to
be classified into the Medium Rehab
category even though the resident did
not actually receive 5 distinct calendar
days of therapy as required by the
criteria. This resident would not meet
the classification criteria for the
Medium Rehab category as they were
intended to be applied.
In rare instances, the same issue can
occur with the Low Rehabilitation (Low
Rehab) and Low Rehab Plus Extensive
Services categories, which require
rehabilitation services for at least 45
minutes a week with three days of any
combination of the three rehabilitation
disciplines (and restorative nursing 6
days per week). Similar to the Medium
Rehab classification criteria, the intent
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here, as well, is to require distinct
calendar days of therapy during the 7day look-back period (in this case, 3
distinct calendar days of therapy). For
example, this policy would be
implemented correctly if a resident
received a total of 90 minutes of therapy
in the form of physical therapy on
Monday and Wednesday, occupational
therapy on Wednesday and Friday, and
speech therapy on Friday. In this
example, therapy services are being
provided over 3 distinct calendar days
(Monday, Wednesday, and Friday).
However, as with the Medium Rehab
category, it is possible for certain
residents who do not meet the Low
Rehab qualifiers under the intended
policy to classify inappropriately into
the Low Rehab category. For example, if
a resident were to receive 90 minutes of
therapy in the form of physical therapy
and occupational therapy on Monday,
and physical therapy and speech
therapy on Tuesday, this patient would
only have received therapy for 2 distinct
days in that 7-day look-back period;
however, based on the information
currently recorded on the MDS, the
patient would still be classified in a
Low Rehab RUG.
As explained above, we are clarifying
that our classification criteria for the
Rehabilitation RUG categories require
that the resident receive the requisite
number of distinct calendar days of
therapy to be classified into the
Rehabilitation RUG category. However,
the MDS item set currently does not
contain an item that permits SNFs to
report the total number of distinct
calendar days of therapy provided by all
rehabilitation disciplines, allowing
some residents to be classified into
Rehabilitation RUG categories when
they do not actually meet our
classification criteria. To permit
facilities to report the number of distinct
calendar days that a resident receives
therapy, and to permit implementation
of our Rehabilitation RUG classification
criteria as intended, we propose to add
item O0420 to the MDS Item Set,
Distinct Calendar Days of Therapy.
Effective October 1, 2013, facilities
would be required to record under this
item the number of distinct calendar
days of therapy provided by all the
rehabilitation disciplines over the 7-day
look-back period for the current
assessment, which would be used to
classify the resident into the correct
Rehabilitation RUG category. We invite
comments on our proposal to add this
item to the MDS Item Set so that we may
properly implement our Rehabilitation
RUG classification criteria based on the
number of distinct calendar days of
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therapy a patient received, as described
above.
D. SNF Therapy Research Project
Currently, the therapy payment rate
component of the SNF PPS is based
solely on the amount of therapy
provided to a patient during the 7-day
look-back period, regardless of the
specific patient characteristics. The
amount of therapy a patient receives is
used to classify the resident into a RUG
category, which then determines the per
diem payment for that resident. CMS
has contracted with Acumen, LLC and
the Brookings Institution to identify
potential alternatives to the existing
methodology used to pay for therapy
services received under the SNF PPS.
As an initial step, the project will
review past research studies and policy
issues related to SNF PPS therapy
payment and options for improving or
replacing the current system of paying
for SNF therapy services received. We
welcome comments and ideas on the
existing methodology used to pay for
therapy services under the SNF PPS.
Comments may be included as part of
comments on this proposed rule. We are
also soliciting comments outside the
comment period and these comments
should be sent via email to
SNFTherapyPayments@cms.hhs.gov.
We will also regularly update the public
on the progress of this project on the
project Web site at https://www.cms.gov/
Medicare/Medicare-Fee-for-ServicePayment/SNFPPS/
therapyresearch.html.
VI. Provisions of the Proposed Rule and
Technical Correction
As discussed in section III. of this
proposed rule, this proposed rule would
update the payment rates under the SNF
PPS for FY 2014 as required by section
1888(e)(4)(E)(ii). Also, as discussed in
section III.B.3. of this proposed rule, we
propose that when the forecast error,
rounded to one significant digit, is 0.5
percentage point, we would calculate
the forecast error to 2 significant digits
in order to determine whether the
forecast error threshold has been
exceeded. Further, as discussed in
section III.C. of this proposed rule, we
propose that upon the conversion to
ICD–10–CM effective October 1, 2014,
we would use the ICD–10–CM code B20
(in place of the ICD–9–CM code 042) to
identify those residents for whom it is
appropriate to apply the AIDS add-on
established under section 511 of the
MMA. In addition, as discussed in
section III.D. of this proposed rule, to
allow for sufficient time to assess the
February 28, 2013 OMB changes to the
statistical area delineations and their
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ramifications, we intend to propose
changes to the wage index based on the
newest CBSA changes in the FY 2015
SNF PPS proposed rule. Thus, we
would continue to use the previous
OMB definitions (that is, those used for
the FY 2013 SNF PPS update notice) for
the FY 2014 SNF PPS wage index.
As discussed previously in section
V.A of this proposed rule, we propose
to revise and rebase the SNF market
basket index to reflect a base year of FY
2010, and to use this revised and
rebased market basket to determine the
SNF market basket percentage increase
for 2014. In addition, we propose to
revise the labor-related share to reflect
the relative importance of the laborrelated cost weights in the proposed FY
2010-based SNF market basket. Also, as
discussed in section V.C. of this
proposed rule, to help ensure accuracy
in grouping to the rehabilitation RUG
categories, we propose to add item
O0420 to the MDS Item Set, which
would require facilities to record the
number of distinct calendar days of
therapy provided by all the
rehabilitation disciplines over the 7-day
look-back period for the current
assessment.
In addition, as discussed earlier in
this proposed rule, we are proposing to
adopt an approach already being
followed by other Medicare payment
systems, under which the lengthy wage
index tables that are currently published
in the Federal Register as part of the
annual SNF PPS rulemaking, would
instead be made available exclusively
through the Internet on the CMS Web
site at https://www.cms.gov/Medicare/
Medicare-Fee-for-Service-Payment/
SNFPPS/WageIndex.html. To adopt this
approach, we propose to revise
§ 413.345. Currently, § 413.345 states
that CMS publishes the wage index in
the Federal Register. We propose to
revise this language, consistent with the
language of the corresponding statutory
authority at section 1888(e)(4)(H)(iii), to
state that CMS publishes in the Federal
Register ‘‘the factors to be applied in
making the area wage adjustment.’’
Accordingly, while the annual Federal
Register publication would continue to
include a discussion of the various
applicable ‘‘factors’’ applied in making
the area wage adjustment (for example,
the SNF PPS’s use of the hospital wage
index exclusive of its occupational mix
adjustment), effective October 1, 2013, it
would no longer include a listing of the
individual wage index values
themselves, which would instead be
made available exclusively through the
Internet on the CMS Web site.
Further, we propose to make a minor
technical correction in the regulations
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text at § 424.11(e)(4), regarding the types
of practitioners (in addition to
physicians) that can sign the required
SNF level of care certification and
recertifications. In the calendar year
(CY) 2011 Medicare Physician Fee
Schedule (MPFS) final rule with
comment period (75 FR 73387, 73602,
73626–27), we revised the regulations at
§ 424.20(e)(2) to implement section 3108
of the Affordable Care Act, which
amended section 1814(a)(2) of the Act,
by adding physician assistants to the
provision authorizing nurse
practitioners and clinical nurse
specialists to perform this function.
However, we inadvertently neglected to
make a conforming revision in the
regulations text at § 424.11(e)(4), an
omission that we now propose to
rectify.
VII. Collection of Information
Requirements
Under the Paperwork Reduction Act
of 1995 (PRA), we are required to
provide a 60-day notice in the Federal
Register and solicit public comments
before a collection of information
requirement is submitted to the Office of
Management and Budget (OMB) for
review and approval. In order to
evaluate fairly whether an information
collection should be approved by OMB,
section 3506(c)(2)(A) of the PRA
requires that we solicit comments 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 the section 3506(c)(2)(A)required issues for the following
information collection requirements
(ICRs):
ICRs Regarding Nursing Home and
Swing Bed PPS Item Sets
Under sections 4204(b) and 4214(d) of
the Omnibus Budget Reconciliation Act
of 1987 (OBRA 1987, Pub. L. 100–203
enacted on December 22, 1987), the
submission and retention of resident
assessment data for purposes of carrying
out OBRA 1987 are not subject to the
PRA. While certain data items that are
collected under the SNF resident
assessment instrument (or MDS 3.0) fall
under the OBRA 1987 exemption, MDS
3.0’s PPS-related item sets are outside
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26467
the scope of OBRA 1987 and require
PRA consideration.
As discussed in section V.C. of the
preamble, this rule proposes to add PPSrelated Item O0420 to the MDS 3.0 form
to capture the number of distinct
calendar days a SNF resident has
received therapy in a seven-day lookback period. The Item would be added
to allow the RUG–IV grouper software to
calculate more accurately the number of
therapy days a SNF resident has
received in order to place him or her
into the correct RUG–IV payment group.
The Item would not be added as the
result of any change in statute or policy;
rather, it would be added to ensure that
our existing Rehabilitation RUG
classification policies are properly
implemented as intended.
While we are proposing to add Item
O0420 to the MDS 3.0 form, we do not
believe this action will cause any
measurable adjustments to our burden
estimates. Consequently, we are not
revising the burden estimates that have
been approved under OCN 0938–1140
(CMS–R–250) for the Nursing Home and
Swing Bed PPS Item Sets.
Submission of PRA-Related Comments
We have submitted a copy of this
proposed rule to OMB for its review of
the rule’s information collection and
recordkeeping requirements. These
requirements are not effective until they
have been approved by the OMB.
To obtain copies of the supporting
statement and any related forms for the
proposed paperwork collection
referenced above, access CMS’ Web site
at https://www.cms.hhs.gov/
PaperworkReductionActof1995, or email
your request, including your address,
phone number, OMB number, and CMS
document identifier, to
Paperwork@cms.hhs.gov, or call the
Reports Clearance Office on (410) 786–
1326.
We invite public comments on this
proposed information collection and
recordkeeping requirement. If you
comment on this proposed information
collection and recordkeeping
requirement, please do either of the
following:
1. Submit your comments
electronically as specified in the
ADDRESSES section of this proposed rule;
or
2. Submit your comments to the
Office of Information and Regulatory
Affairs, Office of Management and
Budget, Attention: CMS Desk Officer,
(CMS–1446–P) Fax: (202) 395–6974; or
Email: OIRA_submission@omb.eop.gov.
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VIII. Response to Comments
Because of the large number of public
comments we normally receive on
Federal Register documents, we are not
able to acknowledge or respond to them
individually. We will consider all
comments we receive by the date and
time specified in the DATES section of
this preamble, and when we proceed
with a subsequent document, we will
respond to the comments in the
preamble to that document.
IX. Economic Analyses
A. Regulatory Impact Analysis
1. Introduction
We have examined the impacts of this
proposed rule as required by Executive
Order 12866 on Regulatory Planning
and Review (September 30, 1993),
Executive Order 13563 on Improving
Regulation and Regulatory Review
(January 18, 2011), the Regulatory
Flexibility Act (RFA) (September 19,
1980, Pub. L. 96–354), section 1102(b) of
the Act, section 202 of the Unfunded
Mandates Reform Act of 1995 (UMRA,
March 22, 1995; Pub. L. 104–4),
Executive Order 13132 on Federalism
(August 4, 1999), and the Congressional
Review Act (5 U.S.C. 804(2)).
Executive Orders 12866 and 13563
direct agencies to assess all costs and
benefits of available regulatory
alternatives and, if regulation is
necessary, to select regulatory
approaches that maximize net benefits
(including potential economic,
environmental, public health and safety
effects, distributive impacts, and
equity). Executive Order 13563
emphasizes the importance of
quantifying both costs and benefits, of
reducing costs, of harmonizing rules,
and of promoting flexibility. This rule
has been designated an economically
significant rule, under section 3(f)(1) of
Executive Order 12866. Accordingly, we
have prepared a regulatory impact
analysis (RIA) as further discussed
below. Also, the rule has been reviewed
by OMB.
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2. Statement of Need
This proposed rule would update the
SNF prospective payment rates for FY
2014 as required under section
1888(e)(4)(E) of the Act. It also responds
to section 1888(e)(4)(H) of the Act,
which requires the Secretary to
‘‘provide for publication in the Federal
Register’’ before the August 1 that
precedes the start of each fiscal year, of
the unadjusted federal per diem rates,
the case-mix classification system, and
the factors to be applied in making the
area wage adjustment. As these statutory
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provisions prescribe a detailed
methodology for calculating and
disseminating payment rates under the
SNF PPS, we do not have the discretion
to adopt an alternative approach.
3. Overall Impacts
This proposed rule sets forth
proposed updates of the SNF PPS rates
contained in the update notice for FY
2013 (77 FR 46214). Based on the above,
we estimate that the aggregate impact
would be an increase of $500 million in
payments to SNFs, resulting from the
SNF market basket update to the
payment rates, as adjusted by the MFP
adjustment and forecast error correction.
The impact analysis of this proposed
rule represents the projected effects of
the changes in the SNF PPS from FY
2013 to FY 2014. Although the best data
available are 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.
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 newlylegislated 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 such 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 sections
1888(e)(4)(E) and 1888(e)(5) of the Act,
we update the FY 2013 payment rates
by a factor equal to the market basket
index percentage change adjusted by the
FY 2012 forecast error adjustment (if
applicable) and the MFP adjustment to
determine the payment rates for FY
2014. As discussed previously, for FY
2012 and each subsequent FY, as
required by section 1888(e)(5)(B) of the
Act as amended by section 3401(b) of
the Affordable Care Act, the market
basket percentage is reduced by the
MFP adjustment. The special AIDS addon 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
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provision. Our latest estimates indicate
that there are fewer than 4,100
beneficiaries who qualify for the add-on
payment for residents with AIDS. The
impact to Medicare is included in the
‘‘total’’ column of Table 22. In updating
the SNF rates for FY 2014, we made a
number of standard annual revisions
and clarifications mentioned elsewhere
in this proposed rule (for example, the
update to the wage and market basket
indexes used for adjusting the federal
rates).
The annual update set forth in this
proposed rule applies to SNF payments
in FY 2014. Accordingly, the analysis
that follows only describes the impact of
this single year. In accordance with the
requirements of the Act, we will publish
a notice or rule for each subsequent FY
that will provide for an update to the
SNF payment rates and include an
associated impact analysis.
4. Detailed Economic Analysis
The FY 2014 impacts appear in Table
22. Using the most recently available
data, in this case FY 2012, we apply the
current FY 2013 wage index and laborrelated share value to the number of
payment days to simulate FY 2013
payments. Then, using the same FY
2012 data, we apply the FY 2014 wage
index and labor-related share value to
simulate FY 2014 payments. We
tabulate the resulting payments
according to the classifications in Table
22, e.g. facility type, geographic region,
facility ownership, and compare the
difference between current and
proposed payments to determine the
overall impact. 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, census region, and ownership.
The first row of figures describes the
estimated effects of the various changes
on all facilities. The next six rows show
the effects on facilities split by hospitalbased, freestanding, urban, and rural
categories. The urban and rural
designations are based on the location of
the facility under the CBSA designation.
The next nineteen rows show the effects
on facilities by urban versus rural status
by census region. The last three rows
show the effects on facilities by
ownership (that is, government, profit,
and non-profit status).
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
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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
all of the changes on the FY 2014
payments. The update of 1.4 percent
(consisting of the market basket increase
of 2.3 percentage points, reduced by the
0.5 percentage point forecast error
correction and further reduced by the
0.4 percentage point MFP adjustment) is
constant for all providers and, though
not shown individually, is included in
the total column. It is projected that
aggregate payments will increase by 1.4
percent, assuming facilities do not
change their care delivery and billing
practices in response.
As illustrated in Table 22, the
combined effects of all of the changes
vary by specific types of providers and
by location. Though all facilities would
experience payment increases, the
projected impact on providers for FY
2014 varies due to the impact of the
wage index update. For example, due to
changes from updating the wage index,
providers in the rural Pacific region
would experience a 2.5 percent increase
in FY 2014 total payments and
providers in the urban East South
Central region would experience a 0.7
percent increase in FY 2014 total
payments.
TABLE 22—RUG–IV PROJECTED IMPACT TO THE SNF PPS FOR FY 2014
Number of
facilities
FY 2014
Group:
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 ...................................................................................................................................
Ownership:
Government ..........................................................................................................................
Profit .....................................................................................................................................
Non-profit ..............................................................................................................................
Update wage
data
(percent)
Total FY 2014
change
(percent)
15,376
10,578
4,798
757
9,821
402
4,396
0.0
0.1
¥0.3
0.2
0.1
¥0.3
¥0.3
1.4
1.5
1.1
1.6
1.5
1.1
1.1
804
1,452
1,740
2,048
525
868
1,240
490
1,405
6
0.6
0.9
¥0.5
¥0.3
¥0.7
¥0.6
¥0.2
0.2
0.8
0.1
2.0
2.3
0.8
1.1
0.7
0.8
1.2
1.6
2.2
1.5
153
262
608
928
551
1,114
813
246
123
0.4
¥0.2
¥0.5
¥0.8
¥0.7
0.6
¥0.8
0.3
1.0
1.8
1.2
0.9
0.6
0.7
2.0
0.6
1.7
2.5
830
10,722
3,824
0.2
0.0
0.0
1.6
1.4
1.4
Note: The Total column includes the 2.3 percent market basket increase, reduced by the 0.5 percentage point forecast error correction and
further reduced by the 0.4 percentage point MFP adjustment. Additionally, we found no SNFs in rural outlying areas.
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5. Alternatives Considered
As described above, we estimate that
the aggregate impact for FY 2014 would
be an increase of $500 million in
payments to SNFs, resulting from the
SNF market basket update to the
payment rates, as adjusted by the
forecast error correction and the MFP
adjustment.
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
prescribes a detailed formula for
calculating payment rates under the
VerDate Mar<15>2010
18:00 May 03, 2013
Jkt 229001
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, a
market basket index, a wage index, and
the urban and rural distinction used in
the development or adjustment of the
federal rates). Further, section
1888(e)(4)(H) of the Act specifically
requires us to disseminate the payment
PO 00000
Frm 00033
Fmt 4701
Sfmt 4702
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.
6. Accounting Statement
As required by OMB Circular A–4
(available online at
www.whitehouse.gov/sites/default/files/
omb/assets/regulatory_matters_pdf/a4.pdf), in Table 23, we have prepared an
accounting statement showing the
classification of the expenditures
E:\FR\FM\06MYP2.SGM
06MYP2
26470
Federal Register / Vol. 78, No. 87 / Monday, May 6, 2013 / Proposed Rules
Business Administration’s Web site at
https://www.sba.gov/category/
navigation-structure/contracting/
contracting-officials/eligibility-sizestandards). Individuals and States are
not included in the definition of a small
entity. In addition, approximately 25
percent of SNFs classified as small
entities are non-profit organizations.
Finally, the estimated number of small
TABLE 23—ACCOUNTING STATEMENT: business entities does not distinguish
CLASSIFICATION OF ESTIMATED EX- provider establishments that are within
PENDITURES, FROM THE 2013 SNF a single firm and, therefore, the number
PPS FISCAL YEAR TO THE 2014 of SNFs classified as small entities may
be higher than the estimate above.
SNF PPS FISCAL YEAR
This proposed rule sets forth updates
of the SNF PPS rates contained in the
Category
Transfers
update notice for FY 2013 (77 FR
46214). Based on the above, we estimate
Annualized Monetized $500 million.*
that the aggregate impact would be an
Transfers.
From Whom To
Federal Government
increase of $500 million in payments to
Whom?
to SNF Medicare
SNFs, resulting from the SNF market
Providers.
basket update to the payment rates, as
* The net increase of $500 million in transfer adjusted by the forecast error correction
payments is a result of the MFP-adjusted mar- and the MFP adjustment. While it is
ket basket increase of $500 million.
projected in Table 22 that all providers
would experience a net increase in
7. Conclusion
payments, we note that some individual
This proposed rule sets forth updates
providers within the same region or
of the SNF PPS rates contained in the
group may experience different impacts
update notice for FY 2013 (77 FR
on payments than others due to the
46214). Based on the above, we estimate distributional impact of the FY 2014
the overall estimated payments for SNFs wage indexes and the degree of
in FY 2014 are projected to increase by
Medicare utilization.
$500 million, or 1.4 percent, compared
Guidance issued by the Department of
with those in FY 2013. We estimate that Health and Human Services on the
in FY 2014 under RUG–IV, SNFs in
proper assessment of the impact on
urban and rural areas would experience, small entities in rulemakings, utilizes a
on average, a 1.5 and 1.1 percent
cost or revenue impact of 3 to 5 percent
increase, respectively, in estimated
as a significance threshold under the
payments compared with FY 2013.
RFA. According to MedPAC, Medicare
Providers in the rural Pacific region
covers approximately 12 percent of total
would experience the largest estimated
patient days in freestanding facilities
increase in payments of approximately
and 23 percent of facility revenue
2.5 percent. Providers in the rural West
(Report to the Congress: Medicare
South Central region would experience
Payment Policy, March 2013, available
the smallest increase in payments of 0.6 at https://www.medpac.gov/documents/
percent.
Mar13_EntireReport.pdf). However, it is
worth noting that the distribution of
B. Regulatory Flexibility Act Analysis
days and payments is highly variable.
The RFA requires agencies to analyze That is, the majority of SNFs have
options for regulatory relief of small
significantly lower Medicare utilization
entities, if a rule has a significant impact (Report to the Congress: Medicare
on a substantial number of small
Payment Policy, March 2013, available
entities. For purposes of the RFA, small at https://www.medpac.gov/documents/
entities include small businesses, nonMar13_EntireReport.pdf). As a result,
profit organizations, and small
for most facilities, when all payers are
governmental jurisdictions. Most SNFs
included in the revenue stream, the
and most other providers and suppliers
overall impact on total revenues should
are small entities, either by their nonbe substantially less than those impacts
profit status or by having revenues of
presented in Table 22. As indicated in
$25.5 million or less in any 1 year. For
Table 22, the effect on facilities is
purposes of the RFA, approximately 91
projected to be an aggregate positive
percent of SNFs are considered small
impact of 1.4 percent. As the overall
businesses according to the Small
impact on the industry as a whole, and
Business Administration’s latest size
thus on small entities specifically, is
standards (NAICS 623110), with total
less than the 3 to 5 percent threshold
revenues of $25.5 million or less in any
discussed above, the Secretary has
1 year. (For details, see the Small
determined that this proposed rule
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
associated with the provisions of this
proposed rule. Table 23 provides our
best estimate of the possible changes in
Medicare payments under the SNF PPS
as a result of the policies in this
proposed rule, based on the data for
15,376 SNFs in our database. All
expenditures are classified as transfers
to Medicare providers (that is, SNFs).
VerDate Mar<15>2010
18:00 May 03, 2013
Jkt 229001
PO 00000
Frm 00034
Fmt 4701
Sfmt 4702
would not have a significant impact on
a substantial number of small entities.
In addition, section 1102(b) of the Act
requires us to prepare a regulatory
impact analysis if a rule may have a
significant impact on the operations of
a substantial number of small rural
hospitals. This analysis must conform to
the provisions of section 603 of the
RFA. For purposes of section 1102(b) of
the Act, we define a small rural hospital
as a hospital that is located outside of
a Metropolitan Statistical Area and has
fewer than 100 beds. This proposed rule
would affect small rural hospitals that
(a) furnish SNF services under a swingbed agreement or (b) have a hospitalbased SNF. We anticipate that the
impact on small rural hospitals would
be similar to the impact on SNF
providers overall. Moreover, as noted in
the FY 2012 final rule (76 FR 48539),
the category of small rural hospitals
would be included within the analysis
of the impact of this proposed rule on
small entities in general. As indicated in
Table 22, the effect on facilities is
projected to be an aggregate positive
impact of 1.4 percent. As the overall
impact on the industry as a whole is less
than the 3 to 5 percent threshold
discussed above, the Secretary has
determined that this proposed rule
would not have a significant impact on
a substantial number of small rural
hospitals.
C. Unfunded Mandates Reform Act
Analysis
Section 202 of the Unfunded
Mandates Reform Act of 1995 (UMRA)
also requires that agencies assess
anticipated costs and benefits before
issuing any rule whose mandates
require spending in any 1 year of $100
million in 1995 dollars, updated
annually for inflation. In 2013, that
threshold is approximately $141
million. This proposed rule would not
impose spending costs on State, local, or
tribal governments in the aggregate, or
by the private sector, of $141 million.
D. Federalism Analysis
Executive Order 13132 establishes
certain requirements that an agency
must meet when it promulgates a
proposed rule (and subsequent final
rule) that impose substantial direct
requirement costs on State and local
governments, preempts State law, or
otherwise has federalism implications.
This proposed rule would have no
substantial direct effect on State and
local governments, preempt State law,
or otherwise have federalism
implications.
E:\FR\FM\06MYP2.SGM
06MYP2
Federal Register / Vol. 78, No. 87 / Monday, May 6, 2013 / Proposed Rules
List of Subjects
4. Section 424.11 is amended by
revising paragraph (e)(4) to read as
follows:
Health facilities, Kidney diseases,
Medicare, Reporting and recordkeeping
requirements.
42 CFR Part 424
Emergency medical services, Health
facilities, Health professions, Medicare,
Reporting and recordkeeping
requirements.
For the reasons set forth in the
preamble, the Centers for Medicare &
Medicaid Services proposes to amend
42 CFR chapter IV as set forth below:
1. The authority citation for part 413
continues to read as follows:
*
*
*
*
(e) * * *
(4) A nurse practitioner or clinical
nurse specialist as defined in paragraph
(e)(5) or (e)(6) of this section, or a
physician assistant as defined in section
1861(aa)(5) of the Act, in the
circumstances specified in § 424.20(e).
*
*
*
*
*
Note: The following addendum will not
appear in the Code of Federal Regulations.
Authority: Secs. 1102, 1812(d), 1814(b),
1815, 1833(a), (i), and (n), 1861(v), 1871,
1881, 1883, and 1886 of the Social Security
Act (42 U.S.C. 1302, 1395d(d), 1395f(b),
1395g, 1395l(a), (i), and (n), 1395x(v),
1395hh, 1395rr, 1395tt, and 1395ww); sec.
124 of Pub. L. 106–133 (113 Stat. 1501A–332)
and sec. 3201 of Pub. L. 112–96 (126 Stat.
156).
2. Section 413.345 is revised to read
as follows:
■
§ 413.345 Publication of Federal
prospective payment rates.
CMS publishes information pertaining
to each update of the Federal payment
rates in the Federal Register. This
information includes the standardized
Federal rates, the resident classification
system that provides the basis for casemix adjustment (including the
designation of those specific Resource
Utilization Groups under the resident
classification system that represent the
required SNF level of care, as provided
in § 409.30 of this chapter), and the
factors to be applied in making the area
wage adjustment. This information is
published before May 1 for the fiscal
year 1998 and before August 1 for the
fiscal years 1999 and after.
In this addendum, we provide the wage
index tables referred to in the preamble to
this proposed rule. Tables A and B display
the CBSA-based wage index values for urban
and rural providers. As noted previously in
this proposed rule, we are currently
proposing to take an approach already being
followed by other Medicare payment
systems, whereby for SNF PPS rules and
notices published on or after October 1, 2013,
these wage index tables would henceforth be
made available exclusively through the
Internet on the CMS Web site rather than
being published in the Federal Register as
part of the annual SNF PPS rulemaking.
TABLE A—FY 2014 WAGE INDEX FOR
URBAN AREAS BASED ON CBSA
LABOR MARKET AREAS
10500 ..
10580 ..
10740 ..
10780 ..
10900 ..
11020 ..
11100 ..
11180 ..
11260 ..
11300 ..
11340 ..
11460 ..
Urban area (constituent
counties)
Wage
index
11500 ..
10180 ..
Abilene, TX ...................
Callahan County, TX
Jones County, TX
Taylor County, TX
Aguadilla-Isabela-San
´
Sebastian, PR.
Aguada Municipio, PR
Aguadilla Municipio, PR
˜
Anasco Municipio, PR
Isabela Municipio, PR
Lares Municipio, PR
Moca Municipio, PR
´
Rincon Municipio, PR
´
San Sebastian
Municipio, PR
Akron, OH .....................
Portage County, OH
0.8260
11540 ..
10380 ..
3. The authority citation for part 424
continues to read as follows:
Jkt 229001
Urban area (constituent
counties)
CBSA
Code
■
18:00 May 03, 2013
CBSA
Code
Addendum—FY 2014 CBSA Wage
Index Tables
PART 424—CONDITIONS FOR
MEDICARE PAYMENT
Authority: Secs. 1102 and 1871 of the
Social Security Act (42 U.S.C. 1302 and
1395hh).
General procedures.
*
Dated: April 4, 2013.
Marilyn Tavenner,
Acting Administrator, Centers for Medicare
& Medicaid Services.
Approved: April 25, 2013.
Kathleen Sebelius,
Secretary.
■
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
§ 424.11
Authority: (Catalog of Federal Domestic
Assistance Program No. 93.773, Medicare—
Hospital Insurance; and Program No. 93.774,
Medicare—Supplementary Medical
Insurance Program)
PART 413—PRINCIPLES OF
REASONABLE COST
REIMBURSEMENT; PAYMENT FOR
END–STAGE RENAL DISEASE
SERVICES; OPTIONAL
PROSPECTIVELY DETERMINED
PAYMENT RATES FOR SKILLED
NURSING FACILITIES
VerDate Mar<15>2010
TABLE A—FY 2014 WAGE INDEX FOR
URBAN AREAS BASED ON CBSA
LABOR MARKET AREAS—Continued
■
42 CFR Part 413
10420 ..
PO 00000
Frm 00035
Fmt 4701
Sfmt 4702
26471
11700 ..
0.3662
12020 ..
12060 ..
0.8485
E:\FR\FM\06MYP2.SGM
Summit County, OH
Albany, GA ....................
Baker County, GA
Dougherty County, GA
Lee County, GA
Terrell County, GA
Worth County, GA
Albany-SchenectadyTroy, NY.
Albany County, NY
Rensselaer County, NY
Saratoga County, NY
Schenectady County,
NY
Schoharie County, NY
Albuquerque, NM ..........
Bernalillo County, NM
Sandoval County, NM
Torrance County, NM
Valencia County, NM
Alexandria, LA ..............
Grant Parish, LA
Rapides Parish, LA
Allentown-BethlehemEaston, PA–NJ.
Warren County, NJ
Carbon County, PA
Lehigh County, PA
Northampton County,
PA
Altoona, PA ...................
Blair County, PA
Amarillo, TX ..................
Armstrong County, TX
Carson County, TX
Potter County, TX
Randall County, TX
Ames, IA .......................
Story County, IA
Anchorage, AK ..............
Anchorage Municipality,
AK
Matanuska-Susitna Borough, AK
Anderson, IN .................
Madison County, IN
Anderson, SC ...............
Anderson County, SC
Arbor, MI .......................
Washtenaw County, MI
Anniston-Oxford, AL ......
Calhoun County, AL
Appleton, WI .................
Calumet County, WI
Outagamie County, WI
Asheville, NC ................
Buncombe County, NC
Haywood County, NC
Henderson County, NC
Madison County, NC
Athens-Clarke County,
GA.
Clarke County, GA
Madison County, GA
Oconee County, GA
Oglethorpe County, GA
Atlanta-Sandy SpringsMarietta, GA.
Barrow County, GA
06MYP2
Wage
index
0.8750
0.8636
0.9704
0.7821
0.9208
0.9140
0.8993
0.9465
1.2259
0.9694
0.8803
1.0125
0.7369
0.9485
0.8508
0.9284
0.9465
26472
Federal Register / Vol. 78, No. 87 / Monday, May 6, 2013 / Proposed Rules
TABLE A—FY 2014 WAGE INDEX FOR
URBAN AREAS BASED ON CBSA
LABOR MARKET AREAS—Continued
TABLE A—FY 2014 WAGE INDEX FOR
URBAN AREAS BASED ON CBSA
LABOR MARKET AREAS—Continued
TABLE A—FY 2014 WAGE INDEX FOR
URBAN AREAS BASED ON CBSA
LABOR MARKET AREAS—Continued
CBSA
Code
CBSA
Code
CBSA
Code
12100 ..
12220 ..
12260 ..
12420 ..
12540 ..
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
12580 ..
12620 ..
12700 ..
12940 ..
Urban area (constituent
counties)
Bartow County, GA
Butts County, GA
Carroll County, GA
Cherokee County, GA
Clayton County, GA
Cobb County, GA
Coweta County, GA
Dawson County, GA
DeKalb County, GA
Douglas County, GA
Fayette County, GA
Forsyth County, GA
Fulton County, GA
Gwinnett County, GA
Haralson County, GA
Heard County, GA
Henry County, GA
Jasper County, GA
Lamar County, GA
Meriwether County, GA
Newton County, GA
Paulding County, GA
Pickens County, GA
Pike County, GA
Rockdale County, GA
Spalding County, GA
Walton County, GA
Atlantic CityHammonton, NJ.
Atlantic County, NJ
Auburn-Opelika, AL ......
Lee County, AL
Augusta-Richmond
County, GA–SC.
Burke County, GA
Columbia County, GA
McDuffie County, GA
Richmond County, GA
Aiken County, SC
Edgefield County, SC
Austin-Round Rock, TX
Bastrop County, TX
Caldwell County, TX
Hays County, TX
Travis County, TX
Williamson County, TX
Bakersfield, CA .............
Kern County, CA
Baltimore-Towson, MD
Anne Arundel County,
MD
Baltimore County, MD
Carroll County, MD
Harford County, MD
Howard County, MD
Queen Anne’s County,
MD
Baltimore City, MD
Bangor, ME ...................
Penobscot County, ME
Barnstable Town, MA ...
Barnstable County, MA
Baton Rouge, LA ..........
Ascension Parish, LA
East Baton Rouge Parish, LA
East Feliciana Parish,
LA
Iberville Parish, LA
VerDate Mar<15>2010
18:00 May 03, 2013
Wage
index
12980 ..
13020 ..
13140 ..
13380 ..
13460 ..
13644 ..
13740 ..
1.2310
13780 ..
0.7802
0.9189
0.9616
13820 ..
13900 ..
13980 ..
1.1730
0.9916
14020 ..
14060 ..
14260 ..
0.9751
1.3062
0.8050
Jkt 229001
14484 ..
14500 ..
14540 ..
PO 00000
Urban area (constituent
counties)
Wage
index
Livingston Parish, LA
Pointe Coupee Parish,
LA
St. Helena Parish, LA
West Baton Rouge Parish, LA
West Feliciana Parish,
LA
Battle Creek, MI ............
Calhoun County, MI
Bay City, MI ..................
Bay County, MI
Beaumont-Port Arthur,
TX.
Hardin County, TX
Jefferson County, TX
Orange County, TX
Bellingham, WA ............
Whatcom County, WA
Bend, OR ......................
Deschutes County, OR
Bethesda-Frederick-Gaithersburg, MD.
Frederick County, MD
Montgomery County,
MD
Billings, MT ...................
Carbon County, MT
Yellowstone County, MT
Binghamton, NY ............
Broome County, NY
Tioga County, NY
Birmingham-Hoover, AL
Bibb County, AL
Blount County, AL
Chilton County, AL
Jefferson County, AL
St. Clair County, AL
Shelby County, AL
Walker County, AL
Bismarck, ND ................
Burleigh County, ND
Morton County, ND
BlacksburgChristiansburgRadford, VA.
Giles County, VA
Montgomery County, VA
Pulaski County, VA
Radford City, VA
Bloomington, IN ............
Greene County, IN
Monroe County, IN
Owen County, IN
Bloomington-Normal, IL
McLean County, IL
Boise City-Nampa, ID ...
Ada County, ID
Boise County, ID
Canyon County, ID
Gem County, ID
Owyhee County, ID
Boston-Quincy, MA .......
Norfolk County, MA
Plymouth County, MA
Suffolk County, MA
Boulder, CO ..................
Boulder County, CO
Bowling Green, KY .......
Frm 00036
Fmt 4701
Sfmt 4702
Urban area (constituent
counties)
14740 ..
14860 ..
0.9763
15180 ..
0.9526
15260 ..
0.8634
15380 ..
1.1940
1.1857
15500 ..
1.0348
15540 ..
0.8727
15764 ..
0.7863
15804 ..
0.8395
15940 ..
15980 ..
16020 ..
0.7312
0.8354
16180 ..
16220 ..
16300 ..
0.9343
16580 ..
0.9349
0.9298
16620 ..
1.2505
16700 ..
0.9891
0.8314
E:\FR\FM\06MYP2.SGM
Edmonson County, KY
Warren County, KY
Bremerton-Silverdale,
WA.
Kitsap County, WA
Bridgeport-StamfordNorwalk, CT.
Fairfield County, CT
Brownsville-Harlingen,
TX.
Cameron County, TX
Brunswick, GA ..............
Brantley County, GA
Glynn County, GA
McIntosh County, GA
Buffalo-Niagara Falls,
NY.
Erie County, NY
Niagara County, NY
Burlington, NC ...............
Alamance County, NC
Burlington-South Burlington, VT.
Chittenden County, VT
Franklin County, VT
Grand Isle County, VT
Cambridge-Newton-Framingham, MA.
Middlesex County, MA
Camden, NJ ..................
Burlington County, NJ
Camden County, NJ
Gloucester County, NJ
Canton-Massillon, OH ...
Carroll County, OH
Stark County, OH
Cape Coral-Fort Myers,
FL.
Lee County, FL
Cape Girardeau-Jackson, MO–IL.
Alexander County, IL
Bollinger County, MO
Cape Girardeau County,
MO
Carson City, NV ............
Carson City, NV
Casper, WY ..................
Natrona County, WY
Cedar Rapids, IA ..........
Benton County, IA
Jones County, IA
Linn County, IA
Champaign-Urbana, IL ..
Champaign County, IL
Ford County, IL
Piatt County, IL
Charleston, WV .............
Boone County, WV
Clay County, WV
Kanawha County, WV
Lincoln County, WV
Putnam County, WV
Charleston-North
Charleston-Summerville, SC.
Berkeley County, SC
Charleston County, SC
Dorchester County, SC
06MYP2
Wage
index
1.0311
1.3287
0.8213
0.7716
1.0048
0.8552
1.0173
1.1201
1.0297
0.8729
0.8720
0.9213
1.0767
1.0154
0.9001
0.9450
0.8147
0.9013
Federal Register / Vol. 78, No. 87 / Monday, May 6, 2013 / Proposed Rules
26473
TABLE A—FY 2014 WAGE INDEX FOR
URBAN AREAS BASED ON CBSA
LABOR MARKET AREAS—Continued
TABLE A—FY 2014 WAGE INDEX FOR
URBAN AREAS BASED ON CBSA
LABOR MARKET AREAS—Continued
TABLE A—FY 2014 WAGE INDEX FOR
URBAN AREAS BASED ON CBSA
LABOR MARKET AREAS—Continued
CBSA
Code
Urban area (constituent
counties)
Wage
index
CBSA
Code
CBSA
Code
16740 ..
Charlotte-Gastonia-Concord, NC–SC.
Anson County, NC
Cabarrus County, NC
Gaston County, NC
Mecklenburg County,
NC
Union County, NC
York County, SC
Charlottesville, VA .........
Albemarle County, VA
Fluvanna County, VA
Greene County, VA
Nelson County, VA
Charlottesville City, VA
Chattanooga, TN–GA ...
Catoosa County, GA
Dade County, GA
Walker County, GA
Hamilton County, TN
Marion County, TN
Sequatchie County, TN
Cheyenne, WY ..............
Laramie County, WY
Chicago-Naperville-Joliet, IL.
Cook County, IL
DeKalb County, IL
DuPage County, IL
Grundy County, IL
Kane County, IL
Kendall County, IL
McHenry County, IL
Will County, IL
Chico, CA ......................
Butte County, CA
Cincinnati-Middletown,
OH–KY–IN.
Dearborn County, IN
Franklin County, IN
Ohio County, IN
Boone County, KY
Bracken County, KY
Campbell County, KY
Gallatin County, KY
Grant County, KY
Kenton County, KY
Pendleton County, KY
Brown County, OH
Butler County, OH
Clermont County, OH
Hamilton County, OH
Warren County, OH
Clarksville, TN–KY ........
Christian County, KY
Trigg County, KY
Montgomery County, TN
Stewart County, TN
Cleveland, TN ...............
Bradley County, TN
Polk County, TN
Cleveland-Elyria-Mentor,
OH.
Cuyahoga County, OH
Geauga County, OH
Lake County, OH
Lorain County, OH
Medina County, OH
Coeur d’Alene, ID .........
0.9479
16820 ..
16860 ..
16940 ..
16974 ..
17020 ..
17140 ..
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
17300 ..
17420 ..
17460 ..
17660 ..
VerDate Mar<15>2010
18:00 May 03, 2013
17780 ..
17820 ..
0.8443
17860 ..
17900 ..
0.8499
17980 ..
0.9534
1.0446
18020 ..
18140 ..
1.1637
0.9382
18580 ..
18700 ..
18880 ..
19060 ..
19124 ..
0.7376
0.7528
0.9306
19140 ..
19180 ..
19260 ..
19340 ..
0.9102
Jkt 229001
PO 00000
Urban area (constituent
counties)
Wage
index
Kootenai County, ID
College Station-Bryan,
TX.
Brazos County, TX
Burleson County, TX
Robertson County, TX
Colorado Springs, CO ...
El Paso County, CO
Teller County, CO
Columbia, MO ...............
Boone County, MO
Howard County, MO
Columbia, SC ................
Calhoun County, SC
Fairfield County, SC
Kershaw County, SC
Lexington County, SC
Richland County, SC
Saluda County, SC
Columbus, GA–AL ........
Russell County, AL
Chattahoochee County,
GA
Harris County, GA
Marion County, GA
Muscogee County, GA
Columbus, IN ................
Bartholomew County, IN
Columbus, OH ..............
Delaware County, OH
Fairfield County, OH
Franklin County, OH
Licking County, OH
Madison County, OH
Morrow County, OH
Pickaway County, OH
Union County, OH
Corpus Christi, TX ........
Aransas County, TX
Nueces County, TX
San Patricio County, TX
Corvallis, OR .................
Benton County, OR
Crestview-Fort Walton
Beach-Destin, FL.
Okaloosa County, FL
Cumberland, MD–WV ...
Allegany County, MD
Mineral County, WV
Dallas-Plano-Irving, TX
Collin County, TX
Dallas County, TX
Delta County, TX
Denton County, TX
Ellis County, TX
Hunt County, TX
Kaufman County, TX
Rockwall County, TX
Dalton, GA ....................
Murray County, GA
Whitfield County, GA
Danville, IL ....................
Vermilion County, IL
Danville, VA ..................
Pittsylvania County, VA
Danville City, VA
Davenport-Moline-Rock
Island, IA–IL.
Henry County, IL
Frm 00037
Fmt 4701
Sfmt 4702
Urban area (constituent
counties)
0.9537
19380 ..
0.9321
0.8231
19460 ..
0.8680
19500 ..
19660 ..
19740 ..
0.7896
0.9860
0.9700
19780 ..
19804 ..
0.8469
20020 ..
1.0641
0.8948
20100 ..
20220 ..
0.8088
20260 ..
0.9872
20500 ..
20740 ..
0.8662
20764 ..
0.9500
0.7921
20940 ..
0.9345
21060 ..
E:\FR\FM\06MYP2.SGM
Mercer County, IL
Rock Island County, IL
Scott County, IA
Dayton, OH ...................
Greene County, OH
Miami County, OH
Montgomery County,
OH
Preble County, OH
Decatur, AL ...................
Lawrence County, AL
Morgan County, AL
Decatur, IL ....................
Macon County, IL
Deltona-Daytona BeachOrmond Beach, FL.
Volusia County, FL
Denver-Aurora-Broomfield, CO.
Adams County, CO
Arapahoe County, CO
Broomfield County, CO
Clear Creek County, CO
Denver County, CO
Douglas County, CO
Elbert County, CO
Gilpin County, CO
Jefferson County, CO
Park County, CO
Des Moines-West Des
Moines, IA.
Dallas County, IA
Guthrie County, IA
Madison County, IA
Polk County, IA
Warren County, IA
Detroit-Livonia-Dearborn, MI.
Wayne County, MI
Dothan, AL ....................
Geneva County, AL
Henry County, AL
Houston County, AL
Dover, DE .....................
Kent County, DE
Dubuque, IA ..................
Dubuque County, IA
Duluth, MN–WI ..............
Carlton County, MN
St. Louis County, MN
Douglas County, WI
Durham-Chapel Hill, NC
Chatham County, NC
Durham County, NC
Orange County, NC
Person County, NC
Eau Claire, WI ...............
Chippewa County, WI
Eau Claire County, WI
Edison-New Brunswick,
NJ.
Middlesex County, NJ
Monmouth County, NJ
Ocean County, NJ
Somerset County, NJ
El Centro, CA ................
Imperial County, CA
Elizabethtown, KY .........
Hardin County, KY
06MYP2
Wage
index
0.8941
0.7195
0.7946
0.8596
1.0461
0.9433
0.9256
0.7136
0.9981
0.8828
0.9351
0.9707
1.0174
1.0956
0.8885
0.7928
26474
Federal Register / Vol. 78, No. 87 / Monday, May 6, 2013 / Proposed Rules
TABLE A—FY 2014 WAGE INDEX FOR
URBAN AREAS BASED ON CBSA
LABOR MARKET AREAS—Continued
TABLE A—FY 2014 WAGE INDEX FOR
URBAN AREAS BASED ON CBSA
LABOR MARKET AREAS—Continued
TABLE A—FY 2014 WAGE INDEX FOR
URBAN AREAS BASED ON CBSA
LABOR MARKET AREAS—Continued
CBSA
Code
CBSA
Code
Urban area (constituent
counties)
Wage
index
CBSA
Code
23104 ..
Fort Worth-Arlington, TX
Johnson County, TX
Parker County, TX
Tarrant County, TX
Wise County, TX
Fresno, CA ....................
Fresno County, CA
Gadsden, AL .................
Etowah County, AL
Gainesville, FL ..............
Alachua County, FL
Gilchrist County, FL
Gainesville, GA .............
Hall County, GA
Gary, IN ........................
Jasper County, IN
Lake County, IN
Newton County, IN
Porter County, IN
Glens Falls, NY .............
Warren County, NY
Washington County, NY
Goldsboro, NC ..............
Wayne County, NC
Grand Forks, ND–MN ...
Polk County, MN
Grand Forks County,
ND
Grand Junction, CO ......
Mesa County, CO
Grand Rapids-Wyoming,
MI.
Barry County, MI
Ionia County, MI
Kent County, MI
Newaygo County, MI
Great Falls, MT .............
Cascade County, MT
Greeley, CO ..................
Weld County, CO
Green Bay, WI ..............
Brown County, WI
Kewaunee County, WI
Oconto County, WI
Greensboro-High Point,
NC.
Guilford County, NC
Randolph County, NC
Rockingham County,
NC
Greenville, NC ...............
Greene County, NC
Pitt County, NC
Greenville-MauldinEasley, SC.
Greenville County, SC
Laurens County, SC
Pickens County, SC
Guayama, PR ...............
Arroyo Municipio, PR
Guayama Municipio, PR
Patillas Municipio, PR
Gulfport-Biloxi, MS ........
Hancock County, MS
Harrison County, MS
Stone County, MS
Hagerstown-Martinsburg, MD–WV.
Washington County, MD
0.9552
21140 ..
21300 ..
21340 ..
21500 ..
21660 ..
21780 ..
21820 ..
21940 ..
22020 ..
22140 ..
22180 ..
22220 ..
22380 ..
22420 ..
22500 ..
22520 ..
22540 ..
22660 ..
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
22744 ..
22900 ..
23060 ..
Urban area (constituent
counties)
Larue County, KY
Elkhart-Goshen, IN .......
Elkhart County, IN
Elmira, NY .....................
Chemung County, NY
El Paso, TX ...................
El Paso County, TX
Erie, PA .........................
Erie County, PA
Eugene-Springfield, OR
Lane County, OR
Evansville, IN–KY .........
Gibson County, IN
Posey County, IN
Vanderburgh County, IN
Warrick County, IN
Henderson County, KY
Webster County, KY
Fairbanks, AK ...............
Fairbanks North Star
Borough, AK
Fajardo, PR ...................
Ceiba Municipio, PR
Fajardo Municipio, PR
Luquillo Municipio, PR
Fargo, ND–MN ..............
Cass County, ND
Clay County, MN
Farmington, NM ............
San Juan County, NM
Fayetteville, NC .............
Cumberland County, NC
Hoke County, NC
Fayetteville-SpringdaleRogers, AR–MO.
Benton County, AR
Madison County, AR
Washington County, AR
McDonald County, MO
Flagstaff, AZ .................
Coconino County, AZ
Flint, MI .........................
Genesee County, MI
Florence, SC .................
Darlington County, SC
Florence County, SC
Florence-Muscle Shoals,
AL.
Colbert County, AL
Lauderdale County, AL
Fond du Lac, WI ...........
Fond du Lac County, WI
Fort Collins-Loveland,
CO.
Larimer County, CO
Fort Lauderdale-Pompano Beach-Deerfield
Beach, FL.
Broward County, FL
Fort Smith, AR–OK .......
Crawford County, AR
Franklin County, AR
Sebastian County, AR
Le Flore County, OK
Sequoyah County, OK
Fort Wayne, IN ..............
Allen County, IN
Wells County, IN
Whitley County, IN
VerDate Mar<15>2010
18:00 May 03, 2013
Wage
index
0.9369
0.8396
0.8441
23420 ..
0.7973
23460 ..
1.1773
23540 ..
0.8367
23580 ..
23844 ..
1.1043
24020 ..
0.3744
24140 ..
24220 ..
0.7835
0.9776
24300 ..
0.8460
24340 ..
0.8993
24500 ..
24540 ..
1.2840
24580 ..
1.1303
0.7968
24660 ..
0.7553
0.9517
24780 ..
0.9743
24860 ..
1.0422
25020 ..
0.7588
25060 ..
0.9048
Jkt 229001
25180 ..
PO 00000
Frm 00038
Fmt 4701
Sfmt 4702
Urban area (constituent
counties)
25260 ..
25420 ..
1.1817
0.8017
25500 ..
0.9751
25540 ..
0.9292
0.9440
25620 ..
0.8402
25860 ..
0.8316
0.7321
25980 ..
0.9347
0.9129
26100 ..
26180 ..
26300 ..
0.9274
26380 ..
0.9694
0.9627
26420 ..
0.8288
0.9382
0.9611
26580 ..
0.3723
26620 ..
0.8610
26820 ..
0.9273
26900 ..
E:\FR\FM\06MYP2.SGM
Berkeley County, WV
Morgan County, WV
Hanford-Corcoran, CA ..
Kings County, CA
Harrisburg-Carlisle, PA
Cumberland County, PA
Dauphin County, PA
Perry County, PA
Harrisonburg, VA ..........
Rockingham County, VA
Harrisonburg City, VA
Hartford-West HartfordEast Hartford, CT.
Hartford County, CT
Middlesex County, CT
Tolland County, CT
Hattiesburg, MS ............
Forrest County, MS
Lamar County, MS
Perry County, MS
Hickory-Lenoir-Morganton, NC.
Alexander County, NC
Burke County, NC
Caldwell County, NC
Catawba County, NC
Hinesville-Fort Stewart,
GA 1.
Liberty County, GA
Long County, GA
Holland-Grand Haven,
MI.
Ottawa County, MI
Honolulu, HI ..................
Honolulu County, HI
Hot Springs, AR ............
Garland County, AR
Houma-Bayou CaneThibodaux, LA.
Lafourche Parish, LA
Terrebonne Parish, LA
Houston-Sugar LandBaytown, TX.
Austin County, TX
Brazoria County, TX
Chambers County, TX
Fort Bend County, TX
Galveston County, TX
Harris County, TX
Liberty County, TX
Montgomery County, TX
San Jacinto County, TX
Waller County, TX
Huntington-Ashland,
WV–KY–OH.
Boyd County, KY
Greenup County, KY
Lawrence County, OH
Cabell County, WV
Wayne County, WV
Huntsville, AL ................
Limestone County, AL
Madison County, AL
Idaho Falls, ID ...............
Bonneville County, ID
Jefferson County, ID
Indianapolis-Carmel, IN
Boone County, IN
Brown County, IN
06MYP2
Wage
index
1.1171
0.9515
0.9128
1.1056
0.7972
0.8383
0.8602
0.8050
1.2109
0.8510
0.7556
0.9945
0.8858
0.8199
0.9351
1.0151
Federal Register / Vol. 78, No. 87 / Monday, May 6, 2013 / Proposed Rules
26475
TABLE A—FY 2014 WAGE INDEX FOR
URBAN AREAS BASED ON CBSA
LABOR MARKET AREAS—Continued
TABLE A—FY 2014 WAGE INDEX FOR
URBAN AREAS BASED ON CBSA
LABOR MARKET AREAS—Continued
TABLE A—FY 2014 WAGE INDEX FOR
URBAN AREAS BASED ON CBSA
LABOR MARKET AREAS—Continued
CBSA
Code
CBSA
Code
CBSA
Code
Urban area (constituent
counties)
Wage
index
30020 ..
Lawton, OK ...................
Comanche County, OK
Lebanon, PA .................
Lebanon County, PA
Lewiston, ID–WA ..........
Nez Perce County, ID
Asotin County, WA
Lewiston-Auburn, ME ....
Androscoggin County,
ME
Lexington-Fayette, KY ..
Bourbon County, KY
Clark County, KY
Fayette County, KY
Jessamine County, KY
Scott County, KY
Woodford County, KY
Lima, OH .......................
Allen County, OH
Lincoln, NE ...................
Lancaster County, NE
Seward County, NE
Little Rock-North Little
Rock-Conway, AR.
Faulkner County, AR
Grant County, AR
Lonoke County, AR
Perry County, AR
Pulaski County, AR
Saline County, AR
Logan, UT–ID ...............
Franklin County, ID
Cache County, UT
Longview, TX ................
Gregg County, TX
Rusk County, TX
Upshur County, TX
Longview, WA ...............
Cowlitz County, WA
Los Angeles-Long
Beach-Glendale, CA.
Los Angeles County, CA
Louisville-Jefferson
County, KY–IN.
Clark County, IN
Floyd County, IN
Harrison County, IN
Washington County, IN
Bullitt County, KY
Henry County, KY
Meade County, KY
Nelson County, KY
Oldham County, KY
Shelby County, KY
Spencer County, KY
Trimble County, KY
Lubbock, TX ..................
Crosby County, TX
Lubbock County, TX
Lynchburg, VA ..............
Amherst County, VA
Appomattox County, VA
Bedford County, VA
Campbell County, VA
Bedford City, VA
Lynchburg City, VA
Macon, GA ....................
Bibb County, GA
Crawford County, GA
0.7926
26980 ..
27060 ..
27100 ..
27140 ..
27180 ..
27260 ..
27340 ..
27500 ..
27620 ..
27740 ..
27780 ..
27860 ..
27900 ..
28020 ..
28100 ..
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
28140 ..
Urban area (constituent
counties)
Hamilton County, IN
Hancock County, IN
Hendricks County, IN
Johnson County, IN
Marion County, IN
Morgan County, IN
Putnam County, IN
Shelby County, IN
Iowa City, IA .................
Johnson County, IA
Washington County, IA
Ithaca, NY .....................
Tompkins County, NY
Jackson, MI ...................
Jackson County, MI
Jackson, MS .................
Copiah County, MS
Hinds County, MS
Madison County, MS
Rankin County, MS
Simpson County, MS
Jackson, TN ..................
Chester County, TN
Madison County, TN
Jacksonville, FL ............
Baker County, FL
Clay County, FL
Duval County, FL
Nassau County, FL
St. Johns County, FL
Jacksonville, NC ...........
Onslow County, NC
Janesville, WI ................
Rock County, WI
Jefferson City, MO ........
Callaway County, MO
Cole County, MO
Moniteau County, MO
Osage County, MO
Johnson City, TN ..........
Carter County, TN
Unicoi County, TN
Washington County, TN
Johnstown, PA ..............
Cambria County, PA
Jonesboro, AR ..............
Craighead County, AR
Poinsett County, AR
Joplin, MO .....................
Jasper County, MO
Newton County, MO
Kalamazoo-Portage, MI
Kalamazoo County, MI
Van Buren County, MI
Kankakee-Bradley, IL ...
Kankakee County, IL
Kansas City, MO–KS ....
Franklin County, KS
Johnson County, KS
Leavenworth County,
KS
Linn County, KS
Miami County, KS
Wyandotte County, KS
Bates County, MO
Caldwell County, MO
Cass County, MO
Clay County, MO
Clinton County, MO
VerDate Mar<15>2010
18:00 May 03, 2013
Wage
index
28420 ..
0.9896
28660 ..
0.9366
0.8981
28700 ..
0.8196
28740 ..
0.7720
28940 ..
0.8987
29020 ..
0.7894
29100 ..
0.9110
0.8501
29140 ..
29180 ..
0.7257
29340 ..
0.8486
29404 ..
0.8017
0.8016
29420 ..
1.0001
29460 ..
0.9698
29540 ..
0.9487
29620 ..
Jkt 229001
29700 ..
29740 ..
29820 ..
29940 ..
PO 00000
Urban area (constituent
counties)
Wage
index
Jackson County, MO
Lafayette County, MO
Platte County, MO
Ray County, MO
Kennewick-Pasco-Richland, WA.
Benton County, WA
Franklin County, WA
Killeen-Temple-Fort
Hood, TX.
Bell County, TX
Coryell County, TX
Lampasas County, TX
Kingsport-Bristol-Bristol,
TN–VA.
Hawkins County, TN
Sullivan County, TN
Bristol City, VA
Scott County, VA
Washington County, VA
Kingston, NY .................
Ulster County, NY
Knoxville, TN .................
Anderson County, TN
Blount County, TN
Knox County, TN
Loudon County, TN
Union County, TN
Kokomo, IN ...................
Howard County, IN
Tipton County, IN
La Crosse, WI–MN .......
Houston County, MN
La Crosse County, WI
Lafayette, IN .................
Benton County, IN
Carroll County, IN
Tippecanoe County, IN
Lafayette, LA .................
Lafayette Parish, LA
St. Martin Parish, LA
Lake Charles, LA ..........
Calcasieu Parish, LA
Cameron Parish, LA
Lake County-Kenosha
County, IL–WI.
Lake County, IL
Kenosha County, WI
Lake Havasu City-Kingman, AZ.
Mohave County, AZ
Lakeland-Winter Haven,
FL.
Polk County, FL
Lancaster, PA ...............
Lancaster County, PA
Lansing-East Lansing,
MI.
Clinton County, MI
Eaton County, MI
Ingham County, MI
Laredo, TX ....................
Webb County, TX
Las Cruces, NM ............
Dona Ana County, NM
Las Vegas-Paradise, NV
Clark County, NV
Lawrence, KS ...............
Douglas County, KS
Frm 00039
Fmt 4701
Sfmt 4702
30140 ..
0.9499
30300 ..
30340 ..
0.8963
30460 ..
0.7223
30620 ..
30700 ..
0.9104
0.7484
30780 ..
0.9099
30860 ..
1.0248
30980 ..
0.9996
31020 ..
0.8266
31084 ..
0.7798
31140 ..
1.0249
0.9953
0.8316
0.9704
1.0663
31180 ..
31340 ..
0.7618
0.9210
1.1682
31420 ..
0.8700
E:\FR\FM\06MYP2.SGM
06MYP2
0.8192
0.9254
0.9086
0.8850
0.9170
0.9505
0.8661
0.8791
0.8971
1.0504
1.2315
0.8892
0.8994
0.8808
0.8860
26476
Federal Register / Vol. 78, No. 87 / Monday, May 6, 2013 / Proposed Rules
TABLE A—FY 2014 WAGE INDEX FOR
URBAN AREAS BASED ON CBSA
LABOR MARKET AREAS—Continued
TABLE A—FY 2014 WAGE INDEX FOR
URBAN AREAS BASED ON CBSA
LABOR MARKET AREAS—Continued
TABLE A—FY 2014 WAGE INDEX FOR
URBAN AREAS BASED ON CBSA
LABOR MARKET AREAS—Continued
CBSA
Code
CBSA
Code
CBSA
Code
Urban area (constituent
counties)
Wage
index
35300 ..
New Haven-Milford, CT
New Haven County, CT
New Orleans-MetairieKenner, LA.
Jefferson Parish, LA
Orleans Parish, LA
Plaquemines Parish, LA
St. Bernard Parish, LA
St. Charles Parish, LA
St. John the Baptist Parish, LA
St. Tammany Parish, LA
New York-White PlainsWayne, NY–NJ.
Bergen County, NJ
Hudson County, NJ
Passaic County, NJ
Bronx County, NY
Kings County, NY
New York County, NY
Putnam County, NY
Queens County, NY
Richmond County, NY
Rockland County, NY
Westchester County, NY
Niles-Benton Harbor, MI
Berrien County, MI
North Port-BradentonSarasota-Venice, FL.
Manatee County, FL
Sarasota County, FL
Norwich-New London,
CT.
New London County,
CT
Oakland-Fremont-Hayward, CA.
Alameda County, CA
Contra Costa County,
CA
Ocala, FL ......................
Marion County, FL
Ocean City, NJ ..............
Cape May County, NJ
Odessa, TX ...................
Ector County, TX
Ogden-Clearfield, UT ....
Davis County, UT
Morgan County, UT
Weber County, UT
Oklahoma City, OK .......
Canadian County, OK
Cleveland County, OK
Grady County, OK
Lincoln County, OK
Logan County, OK
McClain County, OK
Oklahoma County, OK
Olympia, WA .................
Thurston County, WA
Omaha-Council Bluffs,
NE–IA.
Harrison County, IA
Mills County, IA
Pottawattamie County,
IA
Cass County, NE
Douglas County, NE
Sarpy County, NE
1.1933
31460 ..
31540 ..
31700 ..
31740 ..
31860 ..
31900 ..
32420 ..
32580 ..
32780 ..
32820 ..
32900 ..
33124 ..
33140 ..
33260 ..
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
33340 ..
33460 ..
Urban area (constituent
counties)
Jones County, GA
Monroe County, GA
Twiggs County, GA
Madera-Chowchilla, CA
Madera County, CA
Madison, WI ..................
Columbia County, WI
Dane County, WI
Iowa County, WI
Manchester-Nashua, NH
Hillsborough County,
NH
Manhattan, KS ..............
Geary County, KS
Pottawatomie County,
KS
Riley County, KS
Mankato-North Mankato,
MN.
Blue Earth County, MN
Nicollet County, MN
Mansfield, OH ...............
Richland County, OH
¨
Mayaguez, PR ..............
Hormigueros Municipio,
PR
¨
Mayaguez Municipio,
PR
McAllen-Edinburg-Mission, TX.
Hidalgo County, TX
Medford, OR .................
Jackson County, OR
Memphis, TN–MS–AR ..
Crittenden County, AR
DeSoto County, MS
Marshall County, MS
Tate County, MS
Tunica County, MS
Fayette County, TN
Shelby County, TN
Tipton County, TN
Merced, CA ...................
Merced County, CA
Miami-Miami BeachKendall, FL.
Miami-Dade County, FL
Michigan City-La Porte,
IN.
LaPorte County, IN
Midland, TX ...................
Midland County, TX
Milwaukee-WaukeshaWest Allis, WI.
Milwaukee County, WI
Ozaukee County, WI
Washington County, WI
Waukesha County, WI
Minneapolis-St. PaulBloomington, MN–WI.
Anoka County, MN
Carver County, MN
Chisago County, MN
Dakota County, MN
Hennepin County, MN
Isanti County, MN
Ramsey County, MN
Scott County, MN
Sherburne County, MN
VerDate Mar<15>2010
18:00 May 03, 2013
Wage
index
0.8352
33540 ..
1.1463
33660 ..
33700 ..
1.0099
33740 ..
0.7876
33780 ..
33860 ..
0.9316
34060 ..
0.8448
0.3769
34100 ..
34580 ..
0.8429
34620 ..
1.0735
34740 ..
0.9075
34820 ..
34900 ..
34940 ..
1.2788
34980 ..
0.9912
0.9255
1.0092
0.9868
1.1260
Jkt 229001
35004 ..
35084 ..
PO 00000
Urban area (constituent
counties)
Wage
index
Washington County, MN
Wright County, MN
Pierce County, WI
St. Croix County, WI
Missoula, MT ................
Missoula County, MT
Mobile, AL .....................
Mobile County, AL
Modesto, CA .................
Stanislaus County, CA
Monroe, LA ...................
Ouachita Parish, LA
Union Parish, LA
Monroe, MI ....................
Monroe County, MI
Montgomery, AL ...........
Autauga County, AL
Elmore County, AL
Lowndes County, AL
Montgomery County, AL
Morgantown, WV ..........
Monongalia County, WV
Preston County, WV
Morristown, TN ..............
Grainger County, TN
Hamblen County, TN
Jefferson County, TN
Mount VernonAnacortes, WA.
Skagit County, WA
Muncie, IN .....................
Delaware County, IN
Muskegon-Norton
Shores, MI.
Muskegon County, MI
Myrtle Beach-North Myrtle Beach-Conway,
SC.
Horry County, SC
Napa, CA ......................
Napa County, CA
Naples-Marco Island, FL
Collier County, FL
Nashville-Davidson—
Murfreesboro-Franklin, TN.
Cannon County, TN
Cheatham County, TN
Davidson County, TN
Dickson County, TN
Hickman County, TN
Macon County, TN
Robertson County, TN
Rutherford County, TN
Smith County, TN
Sumner County, TN
Trousdale County, TN
Williamson County, TN
Wilson County, TN
Nassau-Suffolk, NY ......
Nassau County, NY
Suffolk County, NY
Newark-Union, NJ–PA ..
Essex County, NJ
Hunterdon County, NJ
Morris County, NJ
Sussex County, NJ
Union County, NJ
Pike County, PA
Frm 00040
Fmt 4701
Sfmt 4702
35380 ..
0.9100
0.7475
1.3641
0.7550
35644 ..
0.8755
0.7507
0.8267
0.6884
35660 ..
1.0697
35840 ..
0.8780
35980 ..
0.9625
0.8663
36084 ..
1.5354
36100 ..
0.9147
36140 ..
0.9174
36220 ..
36260 ..
36420 ..
36500 ..
1.2764
36540 ..
1.1273
E:\FR\FM\06MYP2.SGM
06MYP2
0.8789
1.3117
0.8479
0.9468
1.1871
1.7061
0.8461
1.0628
0.9702
0.9209
0.8896
1.1650
0.9797
Federal Register / Vol. 78, No. 87 / Monday, May 6, 2013 / Proposed Rules
26477
TABLE A—FY 2014 WAGE INDEX FOR
URBAN AREAS BASED ON CBSA
LABOR MARKET AREAS—Continued
TABLE A—FY 2014 WAGE INDEX FOR
URBAN AREAS BASED ON CBSA
LABOR MARKET AREAS—Continued
TABLE A—FY 2014 WAGE INDEX FOR
URBAN AREAS BASED ON CBSA
LABOR MARKET AREAS—Continued
CBSA
Code
CBSA
Code
Urban area (constituent
counties)
Wage
index
CBSA
Code
38340 ..
Pittsfield, MA .................
Berkshire County, MA
Pocatello, ID .................
Bannock County, ID
Power County, ID
Ponce, PR .....................
´
Juana Dıaz Municipio,
PR
Ponce Municipio, PR
Villalba Municipio, PR
Portland-South PortlandBiddeford, ME.
Cumberland County, ME
Sagadahoc County, ME
York County, ME
Portland-VancouverBeaverton, OR–WA.
Clackamas County, OR
Columbia County, OR
Multnomah County, OR
Washington County, OR
Yamhill County, OR
Clark County, WA
Skamania County, WA
Port St. Lucie, FL ..........
Martin County, FL
St. Lucie County, FL
Poughkeepsie-Newburgh-Middletown, NY.
Dutchess County, NY
Orange County, NY
Prescott, AZ ..................
Yavapai County, AZ
Providence-New Bedford-Fall River, RI–MA.
Bristol County, MA
Bristol County, RI
Kent County, RI
Newport County, RI
Providence County, RI
Washington County, RI
Provo-Orem, UT ............
Juab County, UT
Utah County, UT
Pueblo, CO ...................
Pueblo County, CO
Punta Gorda, FL ...........
Charlotte County, FL
Racine, WI ....................
Racine County, WI
Raleigh-Cary, NC ..........
Franklin County, NC
Johnston County, NC
Wake County, NC
Rapid City, SD ..............
Meade County, SD
Pennington County, SD
Reading, PA ..................
Berks County, PA
Redding, CA .................
Shasta County, CA
Reno-Sparks, NV ..........
Storey County, NV
Washoe County, NV
Richmond, VA ...............
Amelia County, VA
Caroline County, VA
Charles City County, VA
Chesterfield County, VA
1.0966
36740 ..
36780 ..
36980 ..
37100 ..
37340 ..
37380 ..
37460 ..
37620 ..
37700 ..
37764 ..
37860 ..
37900 ..
37964 ..
38060 ..
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
38220 ..
38300 ..
Urban area (constituent
counties)
Saunders County, NE
Washington County, NE
Orlando-Kissimmee, FL
Lake County, FL
Orange County, FL
Osceola County, FL
Seminole County, FL
Oshkosh-Neenah, WI ....
Winnebago County, WI
Owensboro, KY .............
Daviess County, KY
Hancock County, KY
McLean County, KY
Oxnard-Thousand OaksVentura, CA.
Ventura County, CA
Palm Bay-MelbourneTitusville, FL.
Brevard County, FL
Palm Coast, FL .............
Flagler County, FL
Panama City-Lynn
Haven-Panama City
Beach, FL.
Bay County, FL
Parkersburg-Marietta-Vienna, WV–OH.
Washington County, OH
Pleasants County, WV
Wirt County, WV
Wood County, WV
Pascagoula, MS ............
George County, MS
Jackson County, MS
Peabody, MA ................
Essex County, MA
Pensacola-Ferry PassBrent, FL.
Escambia County, FL
Santa Rosa County, FL
Peoria, IL ......................
Marshall County, IL
Peoria County, IL
Stark County, IL
Tazewell County, IL
Woodford County, IL
Philadelphia, PA ...........
Bucks County, PA
Chester County, PA
Delaware County, PA
Montgomery County, PA
Philadelphia County, PA
Phoenix-Mesa-Scottsdale, AZ.
Maricopa County, AZ
Pinal County, AZ
Pine Bluff, AR ...............
Cleveland County, AR
Jefferson County, AR
Lincoln County, AR
Pittsburgh, PA ...............
Allegheny County, PA
Armstrong County, PA
Beaver County, PA
Butler County, PA
Fayette County, PA
Washington County, PA
Westmoreland County,
PA
VerDate Mar<15>2010
18:00 May 03, 2013
Wage
index
0.9101
38540 ..
38660 ..
0.9438
0.7823
38860 ..
1.3132
38900 ..
0.8707
0.8209
0.7909
38940 ..
0.7576
39100 ..
0.7574
39140 ..
39300 ..
1.0571
0.7800
0.8290
39340 ..
39380 ..
1.0926
39460 ..
39540 ..
39580 ..
1.0505
39660 ..
0.8103
39740 ..
39820 ..
0.8713
Jkt 229001
39900 ..
40060 ..
PO 00000
Frm 00041
Fmt 4701
Sfmt 4702
Urban area (constituent
counties)
0.9795
0.4614
1.0023
1.1848
40140 ..
0.9391
40220 ..
1.1593
1.0199
40340 ..
1.0579
40380 ..
0.9501
40420 ..
0.8250
40484 ..
0.8771
0.9352
0.9286
40580 ..
40660 ..
0.9608
40900 ..
0.9105
1.5053
1.0369
40980 ..
0.9723
41060 ..
41100 ..
E:\FR\FM\06MYP2.SGM
Cumberland County, VA
Dinwiddie County, VA
Goochland County, VA
Hanover County, VA
Henrico County, VA
King and Queen County, VA
King William County, VA
Louisa County, VA
New Kent County, VA
Powhatan County, VA
Prince George County,
VA
Sussex County, VA
Colonial Heights City,
VA
Hopewell City, VA
Petersburg City, VA
Richmond City, VA
Riverside-San
Bernardino-Ontario,
CA.
Riverside County, CA
San Bernardino County,
CA
Roanoke, VA .................
Botetourt County, VA
Craig County, VA
Franklin County, VA
Roanoke County, VA
Roanoke City, VA
Salem City, VA
Rochester, MN ..............
Dodge County, MN
Olmsted County, MN
Wabasha County, MN
Rochester, NY ...............
Livingston County, NY
Monroe County, NY
Ontario County, NY
Orleans County, NY
Wayne County, NY
Rockford, IL ..................
Boone County, IL
Winnebago County, IL
Rockingham CountyStrafford County, NH.
Rockingham County,
NH
Strafford County, NH
Rocky Mount, NC ..........
Edgecombe County, NC
Nash County, NC
Rome, GA .....................
Floyd County, GA
Sacramento-Arden-Arcade-Roseville, CA.
El Dorado County, CA
Placer County, CA
Sacramento County, CA
Yolo County, CA
Saginaw-Saginaw
Township North, MI.
Saginaw County, MI
St. Cloud, MN ...............
Benton County, MN
Stearns County, MN
St. George, UT .............
Washington County, UT
06MYP2
Wage
index
1.1492
0.9233
1.1712
0.8770
0.9792
1.0215
0.8786
0.8962
1.5211
0.8886
1.0703
0.9385
26478
Federal Register / Vol. 78, No. 87 / Monday, May 6, 2013 / Proposed Rules
TABLE A—FY 2014 WAGE INDEX FOR
URBAN AREAS BASED ON CBSA
LABOR MARKET AREAS—Continued
TABLE A—FY 2014 WAGE INDEX FOR
URBAN AREAS BASED ON CBSA
LABOR MARKET AREAS—Continued
TABLE A—FY 2014 WAGE INDEX FOR
URBAN AREAS BASED ON CBSA
LABOR MARKET AREAS—Continued
CBSA
Code
Urban area (constituent
counties)
Wage
index
CBSA
Code
Urban area (constituent
counties)
Wage
index
CBSA
Code
Urban area (constituent
counties)
Wage
index
41140 ..
St. Joseph, MO–KS ......
Doniphan County, KS
Andrew County, MO
Buchanan County, MO
DeKalb County, MO
St. Louis, MO–IL ...........
Bond County, IL
Calhoun County, IL
Clinton County, IL
Jersey County, IL
Macoupin County, IL
Madison County, IL
Monroe County, IL
St. Clair County, IL
Crawford County, MO
Franklin County, MO
Jefferson County, MO
Lincoln County, MO
St. Charles County, MO
St. Louis County, MO
Warren County, MO
Washington County, MO
St. Louis City, MO
Salem, OR ....................
Marion County, OR
Polk County, OR
Salinas, CA ...................
Monterey County, CA
Salisbury, MD ................
Somerset County, MD
Wicomico County, MD
Salt Lake City, UT .........
Salt Lake County, UT
Summit County, UT
Tooele County, UT
San Angelo, TX ............
Irion County, TX
Tom Green County, TX
San Antonio, TX ...........
Atascosa County, TX
Bandera County, TX
Bexar County, TX
Comal County, TX
Guadalupe County, TX
Kendall County, TX
Medina County, TX
Wilson County, TX
San Diego-CarlsbadSan Marcos, CA.
San Diego County, CA
Sandusky, OH ...............
Erie County, OH
San Francisco-San
Mateo-Redwood City,
CA.
Marin County, CA
San Francisco County,
CA
San Mateo County, CA
´
San German-Cabo
Rojo, PR.
Cabo Rojo Municipio,
PR
Lajas Municipio, PR
Sabana Grande
Municipio, PR
´
San German Municipio,
PR
0.9876
41940 ..
San Jose-SunnyvaleSanta Clara, CA.
San Benito County, CA
Santa Clara County, CA
San Juan-CaguasGuaynabo, PR.
Aguas Buenas
Municipio, PR
Aibonito Municipio, PR
Arecibo Municipio, PR
Barceloneta Municipio,
PR
Barranquitas Municipio,
PR
´
Bayamon Municipio, PR
Caguas Municipio, PR
Camuy Municipio, PR
´
Canovanas Municipio,
PR
Carolina Municipio, PR
˜
Catano Municipio, PR
Cayey Municipio, PR
Ciales Municipio, PR
Cidra Municipio, PR
´
Comerıo Municipio, PR
Corozal Municipio, PR
Dorado Municipio, PR
Florida Municipio, PR
Guaynabo Municipio,
PR
Gurabo Municipio, PR
Hatillo Municipio, PR
Humacao Municipio, PR
Juncos Municipio, PR
Las Piedras Municipio,
PR
´
Loıza Municipio, PR
´
Manatı Municipio, PR
Maunabo Municipio, PR
Morovis Municipio, PR
Naguabo Municipio, PR
Naranjito Municipio, PR
Orocovis Municipio, PR
Quebradillas Municipio,
PR
´
Rıo Grande Municipio,
PR
San Juan Municipio, PR
San Lorenzo Municipio,
PR
Toa Alta Municipio, PR
Toa Baja Municipio, PR
Trujillo Alto Municipio,
PR
Vega Alta Municipio, PR
Vega Baja Municipio,
PR
Yabucoa Municipio, PR
San Luis Obispo-Paso
Robles, CA.
San Luis Obispo County, CA
Santa Ana-AnaheimIrvine, CA.
Orange County, CA
Santa Barbara-Santa
Maria-Goleta, CA.
Santa Barbara County,
CA
1.6761
42100 ..
Santa Cruz-Watsonville,
CA.
Santa Cruz County, CA
Santa Fe, NM ................
Santa Fe County, NM
Santa Rosa-Petaluma,
CA.
Sonoma County, CA
Savannah, GA ..............
Bryan County, GA
Chatham County, GA
Effingham County, GA
Scranton—Wilkes-Barre,
PA.
Lackawanna County, PA
Luzerne County, PA
Wyoming County, PA
Seattle-Bellevue-Everett,
WA.
King County, WA
Snohomish County, WA
Sebastian-Vero Beach,
FL.
Indian River County, FL
Sheboygan, WI .............
Sheboygan County, WI
Sherman-Denison, TX ..
Grayson County, TX
Shreveport-Bossier City,
LA.
Bossier Parish, LA
Caddo Parish, LA
De Soto Parish, LA
Sioux City, IA–NE–SD ..
Woodbury County, IA
Dakota County, NE
Dixon County, NE
Union County, SD
Sioux Falls, SD .............
Lincoln County, SD
McCook County, SD
Minnehaha County, SD
Turner County, SD
South Bend-Mishawaka,
IN–MI.
St. Joseph County, IN
Cass County, MI
Spartanburg, SC ...........
Spartanburg County, SC
Spokane, WA ................
Spokane County, WA
Springfield, IL ................
Menard County, IL
Sangamon County, IL
Springfield, MA .............
Franklin County, MA
Hampden County, MA
Hampshire County, MA
Springfield, MO .............
Christian County, MO
Dallas County, MO
Greene County, MO
Polk County, MO
Webster County, MO
Springfield, OH .............
Clark County, OH
State College, PA .........
Centre County, PA
1.7835
41180 ..
41420 ..
41500 ..
41540 ..
41620 ..
41660 ..
41700 ..
41740 ..
41780 ..
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
41884 ..
41900 ..
VerDate Mar<15>2010
18:00 May 03, 2013
41980 ..
0.9373
1.1195
1.5626
0.8986
0.9396
0.8053
0.8939
1.2104
0.7821
1.6200
42020 ..
0.4569
Jkt 229001
42044 ..
42060 ..
PO 00000
Frm 00042
Fmt 4701
Sfmt 4702
42140 ..
0.4374
42220 ..
42340 ..
42540 ..
42644 ..
42680 ..
43100 ..
43300 ..
43340 ..
43580 ..
43620 ..
43780 ..
43900 ..
44060 ..
44100 ..
44140 ..
1.3089
44180 ..
1.2036
1.3165
44220 ..
44300 ..
E:\FR\FM\06MYP2.SGM
06MYP2
1.0179
1.6743
0.8572
0.8283
1.1784
0.8797
0.9242
0.8760
0.8297
0.9202
0.8310
0.9465
0.8797
1.1221
0.9204
1.0422
0.8476
0.8483
0.9615
Federal Register / Vol. 78, No. 87 / Monday, May 6, 2013 / Proposed Rules
26479
TABLE A—FY 2014 WAGE INDEX FOR
URBAN AREAS BASED ON CBSA
LABOR MARKET AREAS—Continued
TABLE A—FY 2014 WAGE INDEX FOR
URBAN AREAS BASED ON CBSA
LABOR MARKET AREAS—Continued
TABLE A—FY 2014 WAGE INDEX FOR
URBAN AREAS BASED ON CBSA
LABOR MARKET AREAS—Continued
CBSA
Code
Urban area (constituent
counties)
Wage
index
CBSA
Code
CBSA
Code
44600 ..
Steubenville-Weirton,
OH–WV.
Jefferson County, OH
Brooke County, WV
Hancock County, WV
Stockton, CA .................
San Joaquin County,
CA
Sumter, SC ...................
Sumter County, SC
Syracuse, NY ................
Madison County, NY
Onondaga County, NY
Oswego County, NY
Tacoma, WA .................
Pierce County, WA
Tallahassee, FL ............
Gadsden County, FL
Jefferson County, FL
Leon County, FL
Wakulla County, FL
Tampa-St. PetersburgClearwater, FL.
Hernando County, FL
Hillsborough County, FL
Pasco County, FL
Pinellas County, FL
Terre Haute, IN .............
Clay County, IN
Sullivan County, IN
Vermillion County, IN
Vigo County, IN
Texarkana, TX-Texarkana, AR.
Miller County, AR
Bowie County, TX
Toledo, OH ...................
Fulton County, OH
Lucas County, OH
Ottawa County, OH
Wood County, OH
Topeka, KS ...................
Jackson County, KS
Jefferson County, KS
Osage County, KS
Shawnee County, KS
Wabaunsee County, KS
Trenton-Ewing, NJ ........
Mercer County, NJ
Tucson, AZ ...................
Pima County, AZ
Tulsa, OK ......................
Creek County, OK
Okmulgee County, OK
Osage County, OK
Pawnee County, OK
Rogers County, OK
Tulsa County, OK
Wagoner County, OK
Tuscaloosa, AL .............
Greene County, AL
Hale County, AL
Tuscaloosa County, AL
Tyler, TX .......................
Smith County, TX
Utica-Rome, NY ............
Herkimer County, NY
Oneida County, NY
Valdosta, GA .................
0.7415
44700 ..
44940 ..
45060 ..
45104 ..
45220 ..
45300 ..
45460 ..
45500 ..
45780 ..
45820 ..
45940 ..
46060 ..
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
46140 ..
46220 ..
46340 ..
46540 ..
46660 ..
VerDate Mar<15>2010
18:00 May 03, 2013
46700 ..
1.3792
47020 ..
0.7626
0.9937
47220 ..
47260 ..
1.1623
0.8602
0.9114
0.9747
0.7459
47300 ..
47380 ..
0.8854
47580 ..
47644 ..
0.9012
47894 ..
1.0622
0.8991
0.8179
0.8498
0.8562
0.8806
0.7558
Jkt 229001
PO 00000
Urban area (constituent
counties)
Wage
index
Brooks County, GA
Echols County, GA
Lanier County, GA
Lowndes County, GA
Vallejo-Fairfield, CA ......
Solano County, CA
Victoria, TX ...................
Calhoun County, TX
Goliad County, TX
Victoria County, TX
Vineland-Millville-Bridgeton, NJ.
Cumberland County, NJ
Virginia Beach-NorfolkNewport News, VA–
NC.
Currituck County, NC
Gloucester County, VA
Isle of Wight County, VA
James City County, VA
Mathews County, VA
Surry County, VA
York County, VA
Chesapeake City, VA
Hampton City, VA
Newport News City, VA
Norfolk City, VA
Poquoson City, VA
Portsmouth City, VA
Suffolk City, VA
Virginia Beach City, VA
Williamsburg City, VA
Visalia-Porterville, CA ...
Tulare County, CA
Waco, TX ......................
McLennan County, TX
Warner Robins, GA .......
Houston County, GA
Warren-Troy-Farmington
Hills, MI.
Lapeer County, MI
Livingston County, MI
Macomb County, MI
Oakland County, MI
St. Clair County, MI
Washington-ArlingtonAlexandria, DC–VA–
MD–WV.
District of Columbia, DC
Calvert County, MD
Charles County, MD
Prince George’s County,
MD
Arlington County, VA
Clarke County, VA
Fairfax County, VA
Fauquier County, VA
Loudoun County, VA
Prince William County,
VA
Spotsylvania County,
VA
Stafford County, VA
Warren County, VA
Alexandria City, VA
Fairfax City, VA
Falls Church City, VA
Fredericksburg City, VA
Manassas City, VA
Frm 00043
Fmt 4701
Sfmt 4702
Urban area (constituent
counties)
47940 ..
1.6355
0.8986
48140 ..
48300 ..
1.0674
48424 ..
0.8928
48540 ..
48620 ..
48660 ..
48700 ..
48864 ..
0.9989
0.8248
48900 ..
0.7718
0.9464
49020 ..
49180 ..
1.0570
49340 ..
49420 ..
49500 ..
49620 ..
49660 ..
49700 ..
E:\FR\FM\06MYP2.SGM
Manassas Park City, VA
Jefferson County, WV
Waterloo-Cedar Falls, IA
Black Hawk County, IA
Bremer County, IA
Grundy County, IA
Wausau, WI ..................
Marathon County, WI
Wenatchee-East
Wenatchee, WA.
Chelan County, WA
Douglas County, WA
West Palm Beach-Boca
Raton-Boynton
Beach, FL.
Palm Beach County, FL
Wheeling, WV–OH ........
Belmont County, OH
Marshall County, WV
Ohio County, WV
Wichita, KS ...................
Butler County, KS
Harvey County, KS
Sedgwick County, KS
Sumner County, KS
Wichita Falls, TX ...........
Archer County, TX
Clay County, TX
Wichita County, TX
Williamsport, PA ............
Lycoming County, PA
Wilmington, DE–MD–NJ
New Castle County, DE
Cecil County, MD
Salem County, NJ
Wilmington, NC .............
Brunswick County, NC
New Hanover County,
NC
Pender County, NC
Winchester, VA–WV .....
Frederick County, VA
Winchester City, VA
Hampshire County, WV
Winston-Salem, NC ......
Davie County, NC
Forsyth County, NC
Stokes County, NC
Yadkin County, NC
Worcester, MA ..............
Worcester County, MA
Yakima, WA ..................
Yakima County, WA
Yauco, PR .....................
´
Guanica Municipio, PR
Guayanilla Municipio,
PR
˜
Penuelas Municipio, PR
Yauco Municipio, PR
York-Hanover, PA .........
York County, PA
Youngstown-WarrenBoardman, OH–PA.
Mahoning County, OH
Trumbull County, OH
Mercer County, PA
Yuba City, CA 1 .............
Sutter County, CA
Yuba County, CA
06MYP2
Wage
index
0.8366
0.8652
1.0151
0.9637
0.6702
0.8710
0.9578
0.8303
1.0632
0.8900
0.9072
0.8373
1.1632
1.0399
0.3798
0.9580
0.8406
1.1809
26480
Federal Register / Vol. 78, No. 87 / Monday, May 6, 2013 / Proposed Rules
TABLE A—FY 2014 WAGE INDEX FOR
URBAN AREAS BASED ON CBSA
LABOR MARKET AREAS—Continued
CBSA
Code
Urban area (constituent
counties)
Wage
index
49740 ..
Yuma, AZ ......................
Yuma County, AZ
0.9715
1 At
this time, there are no hospitals located
in this urban area on which to base a wage
index.
TABLE B—FY 2014 WAGE INDEX
BASED ON CBSA LABOR MARKET
AREAS FOR RURAL AREAS
Nonurban area
1 ...........
2 ...........
3 ...........
4 ...........
5 ...........
6 ...........
7 ...........
8 ...........
10 .........
11 .........
12 .........
13 .........
14 .........
15 .........
16 .........
17 .........
18 .........
19 .........
20 .........
21 .........
22 .........
mstockstill on DSK4VPTVN1PROD with PROPOSALS2
State
code
Alabama .....................
Alaska .........................
Arizona .......................
Arkansas ....................
California ....................
Colorado .....................
Connecticut ................
Delaware ....................
Florida ........................
Georgia .......................
Hawaii .........................
Idaho ..........................
Illinois .........................
Indiana ........................
Iowa ............................
Kansas .......................
Kentucky .....................
Louisiana ....................
Maine ..........................
Maryland .....................
Massachusetts ...........
VerDate Mar<15>2010
18:00 May 03, 2013
Wage
index
0.7175
1.3720
0.9205
0.7374
1.2697
0.9844
1.1356
1.0116
0.8009
0.7482
0.9919
0.7637
0.8392
0.8547
0.8470
0.7963
0.7726
0.7610
0.8273
0.8733
1.3671
Jkt 229001
TABLE B—FY 2014 WAGE INDEX
BASED ON CBSA LABOR MARKET
AREAS FOR RURAL AREAS—Continued
TABLE B—FY 2014 WAGE INDEX
BASED ON CBSA LABOR MARKET
AREAS FOR RURAL AREAS—Continued
State
code
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
PO 00000
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Nonurban area
Wage
index
State
code
Nonurban area
Michigan .....................
Minnesota ...................
Mississippi ..................
Missouri ......................
Montana .....................
Nebraska ....................
Nevada .......................
New Hampshire ..........
New Jersey 1 ..............
New Mexico ................
New York ....................
North Carolina ............
North Dakota ..............
Ohio ............................
Oklahoma ...................
Oregon .......................
Pennsylvania ..............
Puerto Rico 1 ..............
Rhode Island 1 ............
South Carolina ...........
South Dakota .............
Tennessee ..................
Texas ..........................
Utah ............................
Vermont ......................
Virgin Islands ..............
Virginia .......................
Washington ................
West Virginia ..............
Wisconsin ...................
Wyoming ....................
0.8308
0.9140
0.7610
0.7780
0.9136
0.8893
0.9822
1.0381
................
0.8843
0.8235
0.8118
0.6814
0.8281
0.7712
0.9437
0.8350
0.4047
................
0.8337
0.8199
0.7458
0.7889
0.8769
0.9782
0.7089
0.7802
1.0574
0.7398
0.8934
0.9280
65 .........
Guam ..........................
Frm 00044
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Sfmt 9990
Wage
index
0.9611
1 All
counties within the State are classified
as urban, with the exception of Puerto Rico.
Puerto Rico has areas designated as rural;
however, no short-term, acute care hospitals
are located in the area(s) for FY 2014. The
Puerto Rico wage index is the same as FY
2013.
[FR Doc. 2013–10558 Filed 5–1–13; 4:15 pm]
BILLING CODE 4120–01–P
E:\FR\FM\06MYP2.SGM
06MYP2
Agencies
[Federal Register Volume 78, Number 87 (Monday, May 6, 2013)]
[Proposed Rules]
[Pages 26437-26480]
From the Federal Register Online via the Government Printing Office [www.gpo.gov]
[FR Doc No: 2013-10558]
[[Page 26437]]
Vol. 78
Monday,
No. 87
May 6, 2013
Part II
Department of Health and Human Services
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Centers for Medicare & Medicaid Services
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42 CFR Parts 413 and 424
Medicare Program; Prospective Payment System and Consolidated Billing
for Skilled Nursing Facilities for FY 2014; Proposed Rule
Federal Register / Vol. 78 , No. 87 / Monday, May 6, 2013 / Proposed
Rules
[[Page 26438]]
-----------------------------------------------------------------------
DEPARTMENT OF HEALTH AND HUMAN SERVICES
Centers for Medicare & Medicaid Services
42 CFR Parts 413 and 424
[CMS-1446-P]
RIN 0938-AR65
Medicare Program; Prospective Payment System and Consolidated
Billing for Skilled Nursing Facilities for FY 2014
AGENCY: Centers for Medicare & Medicaid Services (CMS), HHS.
ACTION: Proposed rule.
-----------------------------------------------------------------------
SUMMARY: This proposed rule would update the payment rates used under
the prospective payment system (PPS) for skilled nursing facilities
(SNFs) for fiscal year (FY) 2014, would revise and rebase the SNF
market basket, and would make certain technical and conforming
revisions in the regulations text. This proposed rule also includes a
proposed policy for reporting the SNF market basket forecast error
correction in certain limited circumstances and a proposed new item for
the Minimum Data Set (MDS), Version 3.0.
DATES: To be assured consideration, comments must be received at one of
the addresses provided below, no later than 5 p.m. on July 1, 2013.
ADDRESSES: In commenting, please refer to file code CMS-1446-P. Because
of staff and resource limitations, we cannot accept comments by
facsimile (FAX) transmission.
You may submit comments in one of four ways (please choose only one
of the ways listed):
1. Electronically. You may submit electronic comments on this
regulation to https://www.regulations.gov. Follow the ``Submit a
comment'' instructions.
2. By regular mail. You may mail written comments to the following
address only: Centers for Medicare & Medicaid Services, Department of
Health and Human Services, Attention: CMS-1446-P, P.O. Box 8016,
Baltimore, MD 21244-8016.
Please allow sufficient time for mailed comments to be received
before the close of the comment period.
3. By express or overnight mail. You may send written comments to
the following address only: Centers for Medicare & Medicaid Services,
Department of Health and Human Services, Attention: CMS-1446-P, Mail
Stop C4-26-05, 7500 Security Boulevard, Baltimore, MD 21244-1850.
4. By hand or courier. If you prefer, you may deliver (by hand or
courier) your written comments before the close of the comment period
to either of the following addresses:
a. Centers for Medicare & Medicaid Services, Department of Health
and Human Services, Room 445-G, Hubert H. Humphrey Building, 200
Independence Avenue SW., Washington, DC 20201.
(Because access to the interior of the Hubert H. Humphrey Building
is not readily available to persons without Federal Government
identification, commenters are encouraged to leave their comments in
the CMS drop slots located in the main lobby of the building. A stamp-
in clock is available for persons wishing to retain a proof of filing
by stamping in and retaining an extra copy of the comments being
filed.)
b. Centers for Medicare & Medicaid Services, Department of Health
and Human Services, 7500 Security Boulevard, Baltimore, MD 21244-1850.
If you intend to deliver your comments to the Baltimore address,
please call telephone number (410) 786-7195 in advance to schedule your
arrival with one of our staff members.
Comments mailed to the addresses indicated as appropriate for hand
or courier delivery may be delayed and received after the comment
period.
For information on viewing public comments, see the beginning of
the SUPPLEMENTARY INFORMATION section.
FOR FURTHER INFORMATION CONTACT: Penny Gershman, (410) 786-6643, for
information related to clinical issues.
John Kane, (410) 786-0557, for information related to the
development of the payment rates and case-mix indexes.
Kia Sidbury, (410) 786-7816, for information related to the wage
index.
Bill Ullman, (410) 786-5667, for information related to level of
care determinations, consolidated billing, and general information.
SUPPLEMENTARY INFORMATION:
Inspection of Public Comments: All comments received before the
close of the comment period are available for viewing by the public,
including any personally identifiable or confidential business
information that is included in a comment. We post all comments
received before the close of the comment period on the following Web
site as soon as possible after they have been received: https://www.regulations.gov. Follow the search instructions on that Web site to
view public comments.
Comments received timely will also be available for public
inspection as they are received, generally beginning approximately 3
weeks after publication of a document, at the headquarters of the
Centers for Medicare & Medicaid Services, 7500 Security Boulevard,
Baltimore, Maryland 21244, Monday through Friday of each week from 8:30
a.m. to 4 p.m. To schedule an appointment to view public comments,
phone 1-800-743-3951.
Availability of Certain Information Exclusively Through the Internet on
the CMS Web Site
The Wage Index for Urban Areas Based on CBSA Labor Market Areas
(Table A) and the Wage Index Based on CBSA Labor Market Areas for Rural
Areas (Table B) are published in the Federal Register as an Addendum to
the annual SNF PPS rulemaking (that is, the SNF PPS proposed and final
rules or, when applicable, the current update notice). However, as of
FY 2012, a number of other Medicare payment systems adopted an approach
in which such tables are no longer published in the Federal Register in
this manner, and instead are made available exclusively through the
Internet; see, for example, the FY 2012 Hospital Inpatient PPS (IPPS)
final rule (76 FR 51476). To be consistent with these other Medicare
payment systems and streamline the published content to focus on policy
discussion, we now propose to adopt a similar approach for the SNF PPS
as well. As discussed in greater detail in section VI. of this proposed
rule, we would revise the applicable regulations text at Sec. 413.345
to accommodate this approach, consistent with the wording of the
corresponding statutory authority at section 1888(e)(4)(H)(iii) of the
Social Security Act (the Act). Under this approach, effective October
1, 2013, the individual wage index values displayed in Tables A and B
of this rule would no longer be published in the Federal Register as
part of the annual SNF PPS rulemaking, and instead would be made
available exclusively through the Internet on CMS's SNF PPS Web site at
https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/WageIndex.html. Consistent with the provisions of section
1888(e)(4)(H)(iii) of the Act, we would continue to publish in the
Federal Register the specific ``factors to be applied in making the
area wage adjustment'' (for example, the SNF prospective payment
system's use of the hospital wage index exclusive of its occupational
mix adjustment) as part of our annual SNF PPS rulemaking process, but
that document would no longer include a listing of the individual wage
index values themselves, which would instead be made available
[[Page 26439]]
exclusively through the Internet on the CMS Web Site.
In addition, we note that in previous years, each rule or update
notice issued under the annual SNF PPS rulemaking cycle has included a
detailed reiteration of the various individual legislative provisions
that have affected the SNF PPS over the years, a number of which
represented temporary measures that have long since expired. That
discussion, along with detailed background information on various other
aspects of the SNF PPS, will now be made available exclusively on the
CMS Web site as well, at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/. In connection with this change, this
proposed rule is presented in a revised format that also serves to
consolidate material on the individual rate components that had
previously appeared redundantly in several different portions of the
preamble. The revised format also reorders the preamble discussion to
achieve a more logical presentation, by systematically discussing each
of the various rate components in the actual order in which it is
applied to the SNF payment rates. For ease of reference, we are
including the following crosswalk between this proposed rule's
reordered preamble discussion and the material that was presented in
last year's SNF PPS update notice for FY 2013 (77 FR 46214, August 2,
2012).
Crosswalk to FY 2013 Update Notice
------------------------------------------------------------------------
FY 2014 Proposed Rule FY 2013 Update Notice
------------------------------------------------------------------------
I. Executive Summary.............. I.
II.A Statutory Basis and Scope.... II.A
II.B Initial Transition........... II.A
II.C Required Annual Rate Updates. II.B, III.D
III.A Federal Base Rates.......... II.A, II.G.1, III.A.1
III.B.1 SNF Market Basket Index... II.G.2, V
III.B.2 Use of the SNF Market II.G.2, V.A
Basket Percentage.
III.B.3 Forecast Error Adjustment. II.G.2, V.B
III.B.4 Multifactor Productivity II.G.2, V.C
Adjustment (MFP).
III.B.4.1 Incorporating the MFP V.C.1
into the Market Basket Update.
III.B.5 Market Basket Update V.D
Factor for FY 2014.
III.C Case-Mix (C-M) Adjustment... II.G.1, III.A.2, III.B
III.D Wage Index Adjustment....... III.C
III.E Adjusted Rate Computation III.F
Example.
IV.A SNF Level of Care-- II.A, III.E
Administrative Presumption.
IV.B Consolidated Billing......... II.A, VI
IV.C Payment for SNF-Level Swing- II.A, VII
Bed Services.
V.A Revising and Rebasing the SNF N/A
Market Basket Index.
V.B Monitoring Impact of FY 2012 IV
Policy Changes.
V.C Ensuring Accuracy in Grouping N/A
to Rehabilitation Categories.
V.D SNF Therapy Research Project.. N/A
VI. Provisions of the Proposed N/A
Rule and Technical Correction.
VII. Collection of Information VIII.
Requirements.
VIII. Response to Comments........ N/A
IX. Economic Analyses............. X.
Table 1 Diff. Bet. Forecasted, Table 1
Actual Market Basket Increases.
Table 2 Unadjusted Federal Rate Table 2
Per Diem (Urban).
Table 3 Unadjusted Federal Rate Table 3
Per Diem (Rural).
Table 4 C-M Adjusted Federal Table 4
Rates, Indexes (Urban).
Table 5 C-M Adjusted Federal Table 5
Rates, Indexes (Rural).
Table 6 C-M Adj. Fed. Rates Table 6
(Urban), Lab./Non-Lab. Components.
Table 7 C-M Adj. Fed. Rates Table 7
(Rural), Lab./Non-Lab. Components.
Table 8 Rate Computation Example.. Table 8
Tables 9 through 16 Revising & N/A
Rebasing SNF Market Basket.
Table 17 Labor-Related Relative Table 13
Importance.
Table 18 C-M Distributions by Table 9
Major RUG-IV Category.
Table 19 C-M Distribution for Table 10
Therapy RUG-IV Groups.
Table 20 Mode of Therapy Provision Table 11
Table 21 Distribution of MDS Table 12
Assessment Types.
Table 22 Projected Impact......... Table 14
Table 23 Accounting Statement..... Table 15
------------------------------------------------------------------------
To assist readers in referencing sections contained in this
document, we are providing the following Table of Contents.
Table of Contents
I. Executive Summary
A. Purpose
B. Summary of Major Provisions
C. Summary of Cost and Benefits
II. Background
A. Statutory Basis and Scope
B. Initial Transition
C. Required Annual Rate Updates
III. SNF PPS Rate Setting Methodology and FY 2014 Update
A. Federal Base Rates
B. SNF Market Basket Update
1. SNF Market Basket Index
2. Use of the SNF Market Basket Percentage
3. Forecast Error Adjustment
4. Multifactor Productivity Adjustment
5. Market Basket Update Factor for FY 2014
C. Case-Mix Adjustment
D. Wage Index Adjustment
E. Adjusted Rate Computation Example
IV. Additional Aspects of the SNF PPS
A. SNF Level of Care--Administrative Presumption
B. Consolidated Billing
C. Payment for SNF-Level Swing-Bed Services
V. Other Issues
A. Revising and Rebasing the SNF Market Basket Index
1. Background
2. Revising and Rebasing the SNF Market Basket
3. Price Proxies Used to Measure Cost Category Growth
[[Page 26440]]
4. Proposed Market Basket Estimate for the FY 2014 SNF PPS
Update
5. Labor-Related Share
B. Monitoring Impact of FY 2012 Policy Changes
1. RUG Distributions
2. Group Therapy Allocation
3. MDS 3.0 Changes
4. Conclusion
C. Ensuring Accuracy in Grouping to Rehabilitation RUG-IV
Categories
D. SNF Therapy Research Project
VI. Provisions of the Proposed Rule and Technical Correction
VII. Collection of Information Requirements
VIII. Response to Comments
IX. Economic Analyses
Regulation Text
Acronyms
In addition, because of the many terms to which we refer by acronym
in this proposed rule, we are listing these abbreviations and their
corresponding terms in alphabetical order below:
AIDS Acquired Immune Deficiency Syndrome
ARD Assessment reference date
BBA Balanced Budget Act of 1997, Pub. L. 105-33
BBRA Medicare, Medicaid, and SCHIP Balanced Budget Refinement Act of
1999, Pub. L. 106-113
BIPA Medicare, Medicaid, and SCHIP Benefits Improvement and
Protection Act of 2000, Pub. L. 106-554
CAH Critical access hospital
CBSA Core-based statistical area
CFR Code of Federal Regulations
CMI Case-mix index
CMS Centers for Medicare & Medicaid Services
COT Change of therapy
ECI Employment Cost Index
EOT End of therapy
EOT-R End of therapy--resumption
FQHC Federally qualified health center
FR Federal Register
FY Fiscal year
GAO Government Accountability Office
HCPCS Healthcare Common Procedure Coding System
HOMER Home office Medicare records
IGI IHS (Information Handling Services) Global Insight, Inc.
MDS Minimum data set
MFP Multifactor productivity
MMA Medicare Prescription Drug, Improvement, and Modernization Act
of 2003, Pub. L. 108-173
MSA Metropolitan statistical area
NAICS North American Industrial Classification System
OMB Office of Management and Budget
OMRA Other Medicare Required Assessment
PPS Prospective Payment System
RAI Resident assessment instrument
RAVEN Resident assessment validation entry
RFA Regulatory Flexibility Act, Pub. L. 96-354
RHC Rural health clinic
RIA Regulatory impact analysis
RUG-III Resource Utilization Groups, Version 3
RUG-V 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
STM Staff time measurement
STRIVE Staff time and resource intensity verification
UMRA Unfunded Mandates Reform Act, Pub. L. 104-4
I. Executive Summary
A. Purpose
This proposed rule would update the SNF prospective payment rates
for FY 2014 as required under section 1888(e)(4)(E) of the Act. It
would also respond to section 1888(e)(4)(H) of the Act, which requires
the Secretary to ``provide for publication in the Federal Register''
before the August 1 that precedes the start of each fiscal year, the
unadjusted federal per diem rates, the case-mix classification system,
and the factors to be applied in making the area wage adjustment used
in computing the prospective payment rates for that fiscal year.
B. Summary of Major Provisions
In accordance with sections 1888(e)(4)(E)(ii)(IV) and 1888(e)(5) of
the Act, the federal rates in this proposed rule would reflect an
update to the rates that we published in the SNF PPS update notice for
FY 2013 (77 FR 46214) which reflects the SNF market basket index,
adjusted by the forecast error correction, if applicable, and the
multifactor productivity adjustment for FY 2014.
C. Summary of Cost and Benefits
------------------------------------------------------------------------
Provision description Total transfers
------------------------------------------------------------------------
Proposed FY 2014 SNF PPS payment rate The overall economic impact of
update. this proposed rule would be an
estimated increase of $500
million in aggregate payments
to SNFs during FY 2014.
------------------------------------------------------------------------
II. Background
A. Statutory Basis and Scope
As amended by section 4432 of the Balanced Budget Act of 1997 (BBA,
Pub. L. 105-33, enacted on August 5, 1997), section 1888(e) of the Act
provides for the implementation of a PPS for SNFs. This methodology
uses prospective, case-mix adjusted per diem payment rates applicable
to all covered SNF services defined in section 1888(e)(2)(A) of the
Act. The SNF PPS is effective for cost reporting periods beginning on
or after July 1, 1998, and covers all costs of furnishing covered SNF
services (routine, ancillary, and capital-related costs) other than
costs associated with approved educational activities and bad debts.
Under section 1888(e)(2)(A)(i) of the Act, covered SNF services include
post-hospital extended care services for which benefits are provided
under Part A, as well as those items and services (other than a small
number of excluded services, such as physician services) for which
payment may otherwise be made under Part B and which are furnished to
Medicare beneficiaries who are residents 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).
B. Initial Transition
Under sections 1888(e)(1)(A) and 1888(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
for SNFs entirely on the adjusted federal per diem rates, we no longer
include adjustment factors under the transition related to facility-
specific rates for the upcoming FY.
C. Required Annual Rate Updates
Section 1888(e)(4)(E) of the Act requires the SNF PPS payment rates
to be updated annually. The most recent annual update occurred in an
update notice that set forth updates to the SNF PPS payment rates for
FY 2013 (77 FR 46214).
Under this requirement, section 1888(e)(4)(H) of the Act specifies
that we provide for publication annually in the Federal Register of the
following:
The unadjusted federal per diem rates to be applied to
days of covered SNF services furnished during the upcoming FY.
The case-mix classification system to be applied with
respect to these services during the upcoming FY.
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
proposed rule would provide the required annual updates to the per diem
payment rates for SNFs for FY 2014.
[[Page 26441]]
III. SNF PPS Rate Setting Methodology and FY 2014 Update
A. Federal Base Rates
Under section 1888(e)(4) of the Act, the SNF 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. The data used in developing the federal rates
also incorporated a ``Part B add-on,'' which is an estimate of the
amounts that, prior to the SNF PPS, would have been payable under Part
B for covered SNF services furnished to individuals during the course
of a covered Part A stay in a SNF.
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
geographic variations in wages and for the costs of facility
differences in case mix. 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, and adjusted the portion of the federal rate
attributable to wage-related costs by a wage index to reflect
geographic variations in wages.
B. SNF Market Basket Update
1. SNF Market Basket Index
Section 1888(e)(5)(A) 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.
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. We use the
SNF market basket index, adjusted in the manner described below, to
update the federal rates on an annual basis. In the SNF PPS final rule
for FY 2008 (72 FR 43425 through 43430), we revised and rebased the
market basket, which included updating the base year from FY 1997 to FY
2004. For FY 2014, we propose to revise and rebase the market basket to
reflect FY 2010 total cost data, as detailed in section V.A. of this
proposed rule.
We are also proposing to determine the FY 2014 market basket
increase based on the percent increase in the revised and rebased FY
2010-based SNF market basket. For the FY 2014 proposed rule, the FY
2010-based SNF market basket growth rate is estimated to be 2.3
percent, which is based on the Information Handling Services (IHS)
Global Insight, Inc. (IGI) first quarter 2013 forecast with historical
data through fourth quarter 2012. In section III.B.5 of this proposed
rule, we discuss the specific application of this adjustment to the
forthcoming annual update of the SNF PPS payment rates.
2. Use of the SNF 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 midpoint of the previous FY to the midpoint of the current FY. For
the federal rates set forth in this proposed rule, we use the
percentage change in the SNF market basket index to compute the update
factor for FY 2014. This is based on the IGI first quarter 2013
forecast (with historical data through the fourth quarter 2012) of the
FY 2014 percentage increase in the FY 2010-based SNF market basket
index for routine, ancillary, and capital-related expenses, which is
used to compute the update factor in this proposed rule. As discussed
in sections III.B.3. and III.B.4. of this proposed rule, this market
basket percentage change would be reduced by the forecast error
correction (Sec. 413.337(d)(2)), and by the MFP adjustment as required
by section 1888(e)(5)(B)(ii) of the Act. Finally, as discussed in
section II.B. of this proposed rule, we no longer compute update
factors to adjust a facility-specific portion of the SNF PPS rates,
because the initial 3-phase transition period from facility-specific to
full federal rates that started with cost reporting periods beginning
in July 1998 has expired.
3. Forecast Error Adjustment
As discussed in the June 10, 2003 supplemental proposed rule (68 FR
34768) and finalized in the August 4, 2003, final rule (68 FR 46057
through 46059), the regulations at Sec. 413.337(d)(2) provide for an
adjustment to account for market basket forecast error. The initial
adjustment for market basket forecast error 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, resulting
in an increase of 3.26 percent to the FY 2004 update. 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
the difference between the forecasted and actual change in the market
basket when the difference 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
for FY 2008 and subsequent fiscal years. As we stated in the final rule
for FY 2004 that first issued the market basket forecast error
adjustment (68 FR 46058, August 4, 2003), the adjustment will ``. . .
reflect both upward and downward adjustments, as appropriate.''
For FY 2012 (the most recently available FY for which there is
final data), the estimated increase in the market basket index was 2.7
percentage points, while the actual increase was 2.2 percentage points,
resulting in the actual increase being 0.5 percentage point lower than
the estimated increase. As the forecast error calculation in this
instance does not permit one to determine definitively if the forecast
error adjustment threshold has been exceeded, we are proposing a policy
that would be applied in instances, and only those instances, where the
forecast error calculation is equal to 0.5 percentage point, when
rounded to one significant digit (otherwise referred to as a tenth of a
percentage point), as further discussed below. When the forecast error,
rounded to one significant digit, is equal to 0.5 percentage point, we
propose to report the forecast error to two significant digits
(otherwise referred to as a hundredth of a percentage point) so that we
may determine whether the forecast error correction threshold has been
exceeded and whether the forecast error adjustment should be applied
under Sec. 413.337(d)(2). This policy would apply only in those
instances where the forecast error, when rounded to one significant
digit, is 0.5 percentage point. For example, if the forecast error is
calculated to be 0.4 percentage point when rounded to one significant
digit, then no further determinations are necessary, the forecast error
will be
[[Page 26442]]
reported as 0.4 percentage point, and a forecast error adjustment will
not be applied. Likewise, if the forecast error is determined to be 0.6
percentage point when rounded to one significant digit, then no further
determination is necessary, the forecast error will be reported as 0.6
percentage point, and a forecast error adjustment will be applied.
We propose that when the forecast error is determined to be 0.5
percentage point, when rounded to one significant digit, the
determination of whether or not the threshold has been exceeded would
be made by rounding the forecast error calculation to the second
significant digit. We believe this approach is necessary and
appropriate to ensure that the necessity for a forecast error
adjustment is accurately determined in accordance with Sec.
413.337(d)(2), which enables us to identify those instances where the
difference between the actual and projected market basket becomes
sufficiently significant to indicate that the historical price changes
are not being adequately reflected. This proposed policy would enable
us to distinguish between cases where the difference carried out to the
second decimal place is less than the 0.5 threshold but rounds to 0.5
(0.45 to 0.49) and cases where the difference carried out to the second
decimal place is greater than the 0.5 threshold but rounds to 0.5 (0.51
to 0.54). We would apply the proposed policy when the difference
between the actual and projected market basket is either positive or
negative 0.5 percentage point.
As stated earlier, the forecast error calculation for FY 2012 is
equal to 0.5 percentage point, rounded to one significant digit, or a
tenth of a percentage point. Therefore, following the proposed policy
outlined above, we would determine the forecast error for FY 2012 to
the second significant digit, or the hundredth of a percentage point.
The forecasted FY 2012 SNF market basket percentage change was 2.7
percent. When rounded to the second significant digit, it was 2.69
percent. This would be subtracted from the actual FY 2012 SNF market
basket percentage change, rounded to the second significant digit, of
2.18 percent to yield a negative forecast error correction of 0.51
percentage point. As the forecast error correction, when rounded to two
significant digits, exceeds 0.5 percentage point, a forecast error
adjustment would be warranted under the policy outlined in the FY 2008
SNF PPS final rule (72 FR 43425) (see Sec. 413.337(d)(2)).
Consistent with prior applications of the forecast error adjustment
since establishing the 0.5 percentage point threshold, and consistent
with our applications of both the market basket adjustment and
productivity adjustment described below, once we have determined that a
forecast error adjustment is warranted, we will continue to apply the
adjustment itself at one significant digit (otherwise referred to as a
tenth of a percentage point). Therefore, because the forecasted FY 2012
SNF market basket percentage change exceeded the actual SNF market
basket percentage change for FY 2012 (the most recently available FY
for which there is final data) by 0.51 percentage point, the FY 2014
SNF market basket percentage change of 2.3 percent would be adjusted
downward by the forecast error correction of 0.5 percentage point,
resulting in a net SNF market basket increase factor of 1.8 percent.
Table 1 shows the forecasted and actual market basket amounts for FY
2012.
Table 1--Difference Between the Forecasted and Actual Market Basket Increases for FY 2012
----------------------------------------------------------------------------------------------------------------
Forecasted FY
Index 2012 Actual FY 2012 FY 2012
increase* increase** difference
----------------------------------------------------------------------------------------------------------------
SNF (rounded to one significant digit).......................... 2.7 2.2 -0.5
SNF (rounded to two significant digits)......................... 2.69 2.18 -0.51
----------------------------------------------------------------------------------------------------------------
* Published in Federal Register; based on second quarter 2011 IGI forecast (2004-based index).
** Based on the first quarter 2013 IHS Global Insight forecast, with historical data through the fourth quarter
2012 (2004-based index).
4. Multifactor Productivity Adjustment
Section 3401(b) of the Affordable Care Act requires that, in FY
2012 (and in subsequent FYs), the market basket percentage under the
SNF payment system as described in section 1888(e)(5)(B)(i) of the Act
is to be reduced annually by the productivity adjustment described in
section 1886(b)(3)(B)(xi)(II) of the Act. Section 1886(b)(3)(B)(xi)(II)
of the Act, added by section 3401(a) of the Affordable Care Act, sets
forth the definition of this productivity adjustment. The statute
defines the productivity adjustment to be equal to ``the 10-year moving
average of changes in annual economy-wide private nonfarm business
multi-factor productivity (as projected by the Secretary for the 10-
year period ending with the applicable fiscal year, year, cost-
reporting period, or other annual period)'' (the MFP adjustment). The
Bureau of Labor Statistics (BLS) is the agency that publishes the
official measure of private nonfarm business multifactor productivity
(MFP). Please see https://www.bls.gov/mfp to obtain the BLS historical
published MFP data.
The projection of MFP is currently produced by IGI, an economic
forecasting firm. To generate a forecast of MFP, IGI replicated the MFP
measure calculated by the BLS, using a series of proxy variables
derived from IGI's U.S. macroeconomic models. This process is described
in greater detail in section III.F.3 of the FY 2012 SNF PPS final rule
(76 FR 48527 through 48529).
a. Incorporating the Multifactor Productivity Adjustment Into the
Market Basket Update
According to section 1888(e)(5)(A) of the Act, the Secretary
``shall establish a skilled nursing facility market basket index that
reflects changes over time in the prices of an appropriate mix of goods
and services included in covered skilled nursing facility services.''
As described in section III.B.1. of this proposed rule, we propose to
estimate the SNF PPS market basket percentage for FY 2014 under section
1888(e)(5)(B)(i) of the Act based on the proposed FY 2010-based SNF
market basket. Section 1888(e)(5)(B)(ii) of the Act, added by section
3401(b) of the Affordable Care Act, requires that for FY 2012 and each
subsequent FY, after determining the market basket percentage described
in section 1888(e)(5)(B)(i) of the Act, ``the Secretary shall reduce
such percentage by the productivity adjustment described in section
1886(b)(3)(B)(xi)(II)'' (which we refer to as the MFP adjustment).
Section 1888(e)(5)(B)(ii) of the Act further states that the reduction
of the market basket percentage by the MFP adjustment may result in the
market basket percentage
[[Page 26443]]
being less than zero for a FY, and may result in payment rates under
section 1888(e) of the Act for a FY being less than such payment rates
for the preceding FY. Thus, if the application of the MFP adjustment to
the market basket percentage calculated under section 1888(e)(5)(B)(i)
of the Act results in an MFP-adjusted market basket percentage that is
less than zero, then the annual update to the unadjusted federal per
diem rates under section 1888(e)(4)(E)(ii) of the Act would be
negative, and such rates would decrease relative to the prior FY.
For the FY 2014 update, the MFP adjustment is calculated as the 10-
year moving average of changes in MFP for the period ending September
30, 2014. In accordance with section 1888(e)(5)(B)(i) of the Act and
Sec. 413.337(d)(2) of the regulations, the market basket percentage
for FY 2014 for the SNF PPS is based on IGI's first quarter 2013
forecast of the proposed FY 2010-based SNF market basket update, as
adjusted by the forecast error adjustment, and is estimated to be 1.8
percent. In accordance with section 1888(e)(5)(B)(ii) of the Act (as
added by section 3401(b) of the Affordable Care Act) and Sec.
413.337(d)(3), this market basket percentage is then reduced by the MFP
adjustment (the 10-year moving average of changes in MFP for the period
ending September 30, 2014) of 0.4 percent, which is calculated as
described above and based on IGI's first quarter 2013 forecast. The
resulting MFP-adjusted SNF market basket update is equal to 1.4
percent, or 1.8 percent less 0.4 percentage point.
5. Market Basket Update Factor for FY 2014
Sections 1888(e)(4)(E)(ii)(IV) and 1888(e)(5)(i) of the Act require
that the update factor used to establish the FY 2014 unadjusted federal
rates be at a level equal to the market basket index percentage change.
Accordingly, we determined the total growth from the average market
basket level for the period of October 1, 2012 through September 30,
2013 to the average market basket level for the period of October 1,
2013 through September 30, 2014. This process yields an update factor
of 2.3 percent. As further explained in section III.B.3 of this
proposed rule, as applicable, we adjust the market basket update factor
by the forecast error from the most recently available FY for which
there is final data and apply this adjustment whenever the difference
between the forecasted and actual percentage change in the market
basket exceeds a 0.5 percentage point threshold. Since the forecasted
FY 2012 SNF market basket percentage change exceeded the actual FY 2012
SNF market basket percentage change (FY 2012 is the most recently
available FY for which there is final data) by more than 0.5 percentage
point, the FY 2014 market basket of 2.3 percent would be adjusted
downward by the applicable difference, in this case of 0.5 percentage
points, which reduces the FY 2014 market basket update factor to 1.8
percent. In addition, for FY 2014, section 1888(e)(5)(B) of the Act
requires us to reduce the market basket percentage by the MFP
adjustment (the 10-year moving average of changes in MFP for the period
ending September 30, 2014) of 0.4 percent, as described in section
III.B.4. of this proposed rule. The resulting MFP-adjusted SNF market
basket update would be equal to 1.4 percent, or 1.8 percent less 0.4
percentage point. We are proposing that if more recent data become
available (for example, a more recent estimate of the FY 2010-based SNF
market basket, MFP adjustment, and/or FY 2004-based SNF market basket
used for the forecast error calculation), we would use such data, if
appropriate, to determine the FY 2014 SNF market basket update, FY 2014
labor-related share relative importance, and MFP adjustment in the FY
2014 SNF PPS final rule. We used the SNF market basket, adjusted as
described above, to adjust each per diem component of the federal rates
forward to reflect the change in the average prices for FY 2014 from
average prices for FY 2013. We would 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 2014, prior to adjustment for case-mix.
Table 2--FY 2014 Unadjusted Federal Rate per Diem--Urban
----------------------------------------------------------------------------------------------------------------
Nursing--case- Therapy--case- Therapy--non-
Rate component mix mix case-mix Non-case-mix
----------------------------------------------------------------------------------------------------------------
Per Diem Amount............................. $165.92 $124.98 $16.46 $84.67
----------------------------------------------------------------------------------------------------------------
Table 3--FY 2014 Unadjusted Federal Rate per Diem--Rural
----------------------------------------------------------------------------------------------------------------
Nursing--case- Therapy--case- Therapy--non-
Rate component mix mix case-mix Non-case-mix
----------------------------------------------------------------------------------------------------------------
Per Diem Amount............................. $158.52 $144.11 $17.58 $86.25
----------------------------------------------------------------------------------------------------------------
C. Case-Mix Adjustment
Under section 1888(e)(4)(G)(i) of the Act, the federal rate also
incorporates an adjustment to account for facility case-mix, using a
classification system that accounts for the relative resource
utilization of different patient types. 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 data and other
data that the Secretary considers appropriate. In the interim final
rule with comment period that initially implemented the SNF PPS (63 FR
26252, May 12, 1998), we developed the RUG-III case-mix classification
system, which tied the amount of payment to resident resource use in
combination with resident characteristic information. Staff time
measurement (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 (CMIs). The original RUG-III
grouper logic was based on clinical data collected in 1990, 1995, and
1997. As discussed in the SNF PPS proposed rule for FY 2010 (74 FR
22208), we subsequently conducted a multi-year data collection and
analysis under the Staff Time and Resource Intensity Verification
(STRIVE) project to update the case-mix classification system for FY
2011. The resulting Resource Utilization Groups, Version 4 (RUG-IV)
case-mix classification system
[[Page 26444]]
reflected the data collected in 2006-2007 during the STRIVE project,
and was finalized in the FY 2010 SNF PPS final rule (74 FR 40288) to
take effect in FY 2011 concurrently with an updated new resident
assessment instrument, version 3.0 of the Minimum Data Set (MDS 3.0),
which collects the clinical data used for case-mix classification under
RUG-IV.
We note that case-mix classification is based, in part, on the
beneficiary's need for skilled nursing care and therapy services. The
case-mix classification system uses clinical data from the MDS to
assign a case-mix group to each patient that is then used to calculate
a per diem payment under the SNF PPS. As discussed in section IV.A of
this proposed rule, the clinical orientation of the case-mix
classification system supports the SNF PPS's use of an administrative
presumption that considers a beneficiary's initial case-mix
classification to assist in making certain SNF level of care
determinations. Further, because the MDS is used as a basis for
payment, as well as a clinical assessment, we have provided extensive
training on proper coding and the time frames for MDS completion in our
Resident Assessment Instrument (RAI) Manual. For an MDS to be
considered valid for use in determining payment, the MDS assessment
must be completed in compliance with the instructions in the RAI Manual
in effect at the time the assessment is completed. For payment and
quality monitoring purposes, the RAI Manual consists of both the Manual
instructions and the interpretive guidance and policy clarifications
posted on the appropriate MDS Web site at https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/NursingHomeQualityInits/MDS30RAIManual.html.
In addition, we note that section 511 of the Medicare Prescription
Drug, Improvement, and Modernization Act of 2003 (MMA) (Pub. L. 108-
173, enacted December 8, 2003) amended section 1888(e)(12) 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 add-on for SNF residents with AIDS 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 add-on for SNF residents
with AIDS is also discussed in Program Transmittal 160 (Change
Request 3291), issued on April 30, 2004, which is available
online at www.cms.gov/transmittals/downloads/r160cp.pdf. In the SNF PPS
final rule for FY 2010 (74 FR 40288), we did not address the
certification of the add-on for SNF residents with AIDS in that final
rule's implementation of the case-mix refinements for RUG-IV, thus
allowing the add-on payment required by section 511 of the MMA to
remain in effect. For the limited number of SNF residents that qualify
for this add-on, there is a significant increase in payments. For
example, using FY 2011 data, we identified fewer than 4,100 SNF
residents with a diagnosis code of 042 (Human Immunodeficiency Virus
(HIV) Infection). For FY 2014, an urban facility with a resident with
AIDS in RUG-IV group ``HC2'' would have a case-mix adjusted payment of
$414.72 (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 $945.56.
Currently, we use the ICD-9-CM code 042 to identify those residents
for whom it is appropriate to apply the AIDS add-on established by
section 511 of the MMA. In this context, we note that, in accordance
with the requirements of the final rule published in the September 5,
2012 Federal Register (77 FR 54664), we will be discontinuing our
current use of the International Classification of Diseases, 9th
revision, Clinical Modification (ICD-9-CM), effective with the
compliance date for using the International Classification of Diseases,
10th revision, Clinical Modification (ICD-10-CM) of October 1, 2014.
Regarding the above-referenced ICD-9-CM diagnosis code of 042, we
propose to transition to the equivalent ICD-10-CM diagnosis code of B20
upon the October 1, 2014 implementation date for conversion to ICD-10-
CM, and we invite public comment on this proposal. We note that both
ICD-9-CM diagnosis code 042 and ICD-10-CM diagnosis code B20 include
AIDS, AIDS-related complex (ARC), and HIV infection, symptomatic, but
ICD-9-CM diagnosis code 042 additionally includes AIDS-like syndrome
whereas ICD-10-CM diagnosis code B20 does not. The term ``AIDS-like
syndrome'' denotes a condition other than AIDS that has symptoms
resembling those of AIDS, but a different etiology from the human
immunodeficiency virus that causes AIDS. Accordingly, we believe that
in omitting the category of AIDS-like syndrome, ICD-10-CM diagnosis
code B20 actually reflects more accurately than its predecessor ICD-9-
CM code the intended scope of the statutory provision, which is
directed specifically at those residents who are ``. . . afflicted with
acquired immune deficiency syndrome (AIDS)'' (see section
1888(e)(12)(A) of the Act, as amended by section 511 of the MMA).
Under section 1888(e)(4)(H), each update of the payment rates must
include the case-mix classification methodology applicable for the
coming FY. The payment rates set forth in this proposed rule reflect
the use of the RUG-IV case-mix classification system from October 1,
2013, through September 30, 2014. We list the case-mix adjusted RUG-IV
payment rates, provided separately for urban and rural SNFs, in Tables
4 and 5 with corresponding case-mix values. These tables do not reflect
the add-on for SNF residents with AIDS enacted by section 511 of the
MMA, which we apply only after making all other adjustments (such as
wage and case-mix).
Table 4--RUG-IV Case-Mix Adjusted Federal Rates and Associated Indexes--Urban
--------------------------------------------------------------------------------------------------------------------------------------------------------
Nursing Therapy Non-case mix Non-case mix
RUG-IV Category Nursing index Therapy index component component therapy comp component Total rate
--------------------------------------------------------------------------------------------------------------------------------------------------------
RUX..................................... 2.67 1.87 443.01 $233.71 .............. $84.67 $761.39
RUL..................................... 2.57 1.87 426.41 233.71 .............. 84.67 744.79
RVX..................................... 2.61 1.28 433.05 159.97 .............. 84.67 677.69
RVL..................................... 2.19 1.28 363.36 159.97 .............. 84.67 608.00
RHX..................................... 2.55 0.85 423.10 106.23 .............. 84.67 614.00
RHL..................................... 2.15 0.85 356.73 106.23 .............. 84.67 547.63
RMX..................................... 2.47 0.55 409.82 68.74 .............. 84.67 563.23
RML..................................... 2.19 0.55 363.36 68.74 .............. 84.67 516.77
RLX..................................... 2.26 0.28 374.98 34.99 .............. 84.67 494.64
RUC..................................... 1.56 1.87 258.84 233.71 .............. 84.67 577.22
[[Page 26445]]
RUB..................................... 1.56 1.87 258.84 233.71 .............. 84.67 577.22
RUA..................................... 0.99 1.87 164.26 233.71 .............. 84.67 482.64
RVC..................................... 1.51 1.28 250.54 159.97 .............. 84.67 495.18
RVB..................................... 1.11 1.28 184.17 159.97 .............. 84.67 428.81
RVA..................................... 1.10 1.28 182.51 159.97 .............. 84.67 427.15
RHC..................................... 1.45 0.85 240.58 106.23 .............. 84.67 431.48
RHB..................................... 1.19 0.85 197.44 106.23 .............. 84.67 388.34
RHA..................................... 0.91 0.85 150.99 106.23 .............. 84.67 341.89
RMC..................................... 1.36 0.55 225.65 68.74 .............. 84.67 379.06
RMB..................................... 1.22 0.55 202.42 68.74 .............. 84.67 355.83
RMA..................................... 0.84 0.55 139.37 68.74 .............. 84.67 292.78
RLB..................................... 1.50 0.28 248.88 34.99 .............. 84.67 368.54
RLA..................................... 0.71 0.28 117.80 34.99 .............. 84.67 237.46
ES3..................................... 3.58 .............. 593.99 .............. $16.46 84.67 695.12
ES2..................................... 2.67 .............. 443.01 .............. 16.46 84.67 544.14
ES1..................................... 2.32 .............. 384.93 .............. 16.46 84.67 486.06
HE2..................................... 2.22 .............. 368.34 .............. 16.46 84.67 469.47
HE1..................................... 1.74 .............. 288.70 .............. 16.46 84.67 389.83
HD2..................................... 2.04 .............. 338.48 .............. 16.46 84.67 439.61
HD1..................................... 1.60 .............. 265.47 .............. 16.46 84.67 366.60
HC2..................................... 1.89 .............. 313.59 .............. 16.46 84.67 414.72
HC1..................................... 1.48 .............. 245.56 .............. 16.46 84.67 346.69
HB2..................................... 1.86 .............. 308.61 .............. 16.46 84.67 409.74
HB1..................................... 1.46 .............. 242.24 .............. 16.46 84.67 343.37
LE2..................................... 1.96 .............. 325.20 .............. 16.46 84.67 426.33
LE1..................................... 1.54 .............. 255.52 .............. 16.46 84.67 356.65
LD2..................................... 1.86 .............. 308.61 .............. 16.46 84.67 409.74
LD1..................................... 1.46 .............. 242.24 .............. 16.46 84.67 343.37
LC2..................................... 1.56 .............. 258.84 .............. 16.46 84.67 359.97
LC1..................................... 1.22 .............. 202.42 .............. 16.46 84.67 303.55
LB2..................................... 1.45 .............. 240.58 .............. 16.46 84.67 341.71
LB1..................................... 1.14 .............. 189.15 .............. 16.46 84.67 290.28
CE2..................................... 1.68 .............. 278.75 .............. 16.46 84.67 379.88
CE1..................................... 1.50 .............. 248.88 .............. 16.46 84.67 350.01
CD2..................................... 1.56 .............. 258.84 .............. 16.46 84.67 359.97
CD1..................................... 1.38 .............. 228.97 .............. 16.46 84.67 330.10
CC2..................................... 1.29 .............. 214.04 .............. 16.46 84.67 315.17
CC1..................................... 1.15 .............. 190.81 .............. 16.46 84.67 291.94
CB2..................................... 1.15 .............. 190.81 .............. 16.46 84.67 291.94
CB1..................................... 1.02 .............. 169.24 .............. 16.46 84.67 270.37
CA2..................................... 0.88 .............. 146.01 .............. 16.46 84.67 247.14
CA1..................................... 0.78 .............. 129.42 .............. 16.46 84.67 230.55
BB2..................................... 0.97 .............. 160.94 .............. 16.46 84.67 262.07
BB1..................................... 0.90 .............. 149.33 .............. 16.46 84.67 250.46
BA2..................................... 0.70 .............. 116.14 .............. 16.46 84.67 217.27
BA1..................................... 0.64 .............. 106.19 .............. 16.46 84.67 207.32
PE2..................................... 1.50 .............. 248.88 .............. 16.46 84.67 350.01
PE1..................................... 1.40 .............. 232.29 .............. 16.46 84.67 333.42
PD2..................................... 1.38 .............. 228.97 .............. 16.46 84.67 330.10
PD1..................................... 1.28 .............. 212.38 .............. 16.46 84.67 313.51
PC2..................................... 1.10 .............. 182.51 .............. 16.46 84.67 283.64
PC1..................................... 1.02 .............. 169.24 .............. 16.46 84.67 270.37
PB2..................................... 0.84 .............. 139.37 .............. 16.46 84.67 240.50
PB1..................................... 0.78 .............. 129.42 .............. 16.46 84.67 230.55
PA2..................................... 0.59 .............. 97.89 .............. 16.46 84.67 199.02
PA1..................................... 0.54 .............. 89.60 .............. 16.46 84.67 190.73
--------------------------------------------------------------------------------------------------------------------------------------------------------
Table 5--RUG--IV Case-Mix Adjusted Federal Rates and Associated Indexes--Rural
--------------------------------------------------------------------------------------------------------------------------------------------------------
Nursing Therapy Non-case mix Non-case mix
RUG-IV Category Nursing index Therapy index component component therapy comp component Total rate
--------------------------------------------------------------------------------------------------------------------------------------------------------
RUX..................................... 2.67 1.87 $423.25 $269.49 .............. $86.25 $778.99
RUL..................................... 2.57 1.87 407.40 269.49 .............. 86.25 763.14
RVX..................................... 2.61 1.28 413.74 184.46 .............. 86.25 684.45
RVL..................................... 2.19 1.28 347.16 184.46 .............. 86.25 617.87
RHX..................................... 2.55 0.85 404.23 122.49 .............. 86.25 612.97
RHL..................................... 2.15 0.85 340.82 122.49 .............. 86.25 549.56
RMX..................................... 2.47 0.55 391.54 79.26 .............. 86.25 557.05
RML..................................... 2.19 0.55 347.16 79.26 .............. 86.25 512.67
[[Page 26446]]
RLX..................................... 2.26 0.28 358.26 40.35 .............. 86.25 484.86
RUC..................................... 1.56 1.87 247.29 269.49 .............. 86.25 603.03
RUB..................................... 1.56 1.87 247.29 269.49 .............. 86.25 603.03
RUA..................................... 0.99 1.87 156.93 269.49 .............. 86.25 512.67
RVC..................................... 1.51 1.28 239.37 184.46 .............. 86.25 510.08
RVB..................................... 1.11 1.28 175.96 184.46 .............. 86.25 446.67
RVA..................................... 1.10 1.28 174.37 184.46 .............. 86.25 445.08
RHC..................................... 1.45 0.85 229.85 122.49 .............. 86.25 438.59
RHB..................................... 1.19 0.85 188.64 122.49 .............. 86.25 397.38
RHA..................................... 0.91 0.85 144.25 122.49 .............. 86.25 352.99
RMC..................................... 1.36 0.55 215.59 79.26 .............. 86.25 381.10
RMB..................................... 1.22 0.55 193.39 79.26 .............. 86.25 358.90
RMA..................................... 0.84 0.55 133.16 79.26 .............. 86.25 298.67
RLB..................................... 1.50 0.28 237.78 40.35 .............. 86.25 364.38
RLA..................................... 0.71 0.28 112.55 40.35 .............. 86.25 239.15
ES3..................................... 3.58 .............. 567.50 .............. 17.58 86.25 671.33
ES2..................................... 2.67 .............. 423.25 .............. 17.58 86.25 527.08
ES1..................................... 2.32 .............. 367.77 .............. 17.58 86.25 471.60
HE2..................................... 2.22 .............. 351.91 .............. 17.58 86.25 455.74
HE1..................................... 1.74 .............. 275.82 .............. 17.58 86.25 379.65
HD2..................................... 2.04 .............. 323.38 .............. 17.58 86.25 427.21
HD1..................................... 1.60 .............. 253.63 .............. 17.58 86.25 357.46
HC2..................................... 1.89 .............. 299.60 .............. 17.58 86.25 403.43
HC1..................................... 1.48 .............. 234.61 .............. 17.58 86.25 338.44
HB2..................................... 1.86 .............. 294.85 .............. 17.58 86.25 398.68
HB1..................................... 1.46 .............. 231.44 .............. 17.58 86.25 335.27
LE2..................................... 1.96 .............. 310.70 .............. 17.58 86.25 414.53
LE1..................................... 1.54 .............. 244.12 .............. 17.58 86.25 347.95
LD2..................................... 1.86 .............. 294.85 .............. 17.58 86.25 398.68
LD1..................................... 1.46 .............. 231.44 .............. 17.58 86.25 335.27
LC2..................................... 1.56 .............. 247.29 .............. 17.58 86.25 351.12
LC1..................................... 1.22 .............. 193.39 .............. 17.58 86.25 297.22
LB2..................................... 1.45 .............. 229.85 .............. 17.58 86.25 333.68
LB1..................................... 1.14 .............. 180.71 .............. 17.58 86.25 284.54
CE2..................................... 1.68 .............. 266.31 .............. 17.58 86.25 370.14
CE1..................................... 1.50 .............. 237.78 .............. 17.58 86.25 341.61
CD2..................................... 1.56 .............. 247.29 .............. 17.58 86.25 351.12
CD1..................................... 1.38 .............. 218.76 .............. 17.58 86.25 322.59
CC2..................................... 1.29 .............. 204.49 .............. 17.58 86.25 308.32
CC1..................................... 1.15 .............. 182.30 .............. 17.58 86.25 286.13
CB2..................................... 1.15 .............. 182.30 .............. 17.58 86.25 286.13
CB1..................................... 1.02 .............. 161.69 .............. 17.58 86.25 265.52
CA2..................................... 0.88 .............. 139.50 .............. 17.58 86.25 243.33
CA1..................................... 0.78 .............. 123.65 .............. 17.58 86.25 227.48
BB2..................................... 0.97 .............. 153.76 .............. 17.58 86.25 257.59
BB1..................................... 0.90 .............. 142.67 .............. 17.58 86.25 246.50
BA2..................................... 0.70 .............. 110.96 .............. 17.58 86.25 214.79
BA1..................................... 0.64 .............. 101.45 .............. 17.58 86.25 205.28
PE2..................................... 1.50 .............. 237.78 .............. 17.58 86.25 341.61
PE1..................................... 1.40 .............. 221.93 .............. 17.58 86.25 325.76
PD2..................................... 1.38 .............. 218.76 .............. 17.58 86.25 322.59
PD1..................................... 1.28 .............. 202.91 .............. 17.58 86.25 306.74
PC2..................................... 1.10 .............. 174.37 .............. 17.58 86.25 278.20
PC1..................................... 1.02 .............. 161.69 .............. 17.58 86.25 265.52
PB2..................................... 0.84 .............. 133.16 .............. 17.58 86.25 236.99
PB1..................................... 0.78 .............. 123.65 .............. 17.58 86.25 227.48
PA2..................................... 0.59 .............. 93.53 .............. 17.58 86.25 197.36
PA1..................................... 0.54 .............. 85.60 .............. 17.58 86.25 189.43
--------------------------------------------------------------------------------------------------------------------------------------------------------
D. Wage Index Adjustment
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 the Secretary determines appropriate. Since the
inception of the SNF PPS, we have used hospital inpatient wage data in
developing a wage index to be applied to SNFs. We propose to continue
this practice for FY 2014, 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), 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
[[Page 26447]]
occupational mix adjustment continues to be appropriate for SNF
payments. For FY 2014, the updated wage data are for hospital cost
reporting periods beginning on or after October 1, 2009 and before
October 1, 2010 (FY 2010 cost report data).
Finally, we propose to continue to use the same methodology
discussed in the SNF PPS 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 2014 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 would use the average wage index from all
contiguous Core-Based Statistical Areas (CBSAs) as a reasonable proxy.
For FY 2014, there are no rural geographic areas that do not have
hospitals, and thus, this methodology would not be applied. For rural
Puerto Rico, we would not apply this methodology due to the distinct
economic circumstances that exist there (for example, due to the close
proximity to one another of almost all of Puerto Rico's various urban
and non-urban areas, this methodology would produce a wage index for
rural Puerto Rico that is inappropriately higher than that in half of
its urban areas); instead, we would continue to use the most recent
wage index previously available for that area. For urban areas without
specific hospital wage index data, we would 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. For FY 2014,
the only urban area without wage index data available is CBSA 25980,
Hinesville-Fort Stewart, GA.
In addition, we note that section 315 of the Medicare, Medicaid,
and SCHIP Benefits Improvement and Protection Act of 2000 (BIPA) (Pub.
L. 106-554, enacted on December 21, 2000) 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. However, to date, this
has proven to be unfeasible 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.
Once calculated, we would apply the wage index adjustment to the
labor-related portion of the federal rate. Each year, we calculate a
revised labor-related share, based on the relative importance of labor-
related cost categories (that is, those cost categories that are
sensitive to local area wage costs) in the input price index. For the
FY 2014 SNF PPS update, we are proposing to revise the labor-related
share to reflect the relative importance of the revised FY 2010-based
SNF market basket cost weights for the following cost categories (as
discussed further in section V.A. of this proposed rule): wages and
salaries; employee benefits; contract labor; the labor-related portion
of nonmedical professional fees; administrative and facilities support
services; all other: labor-related services (previously referred to in
the FY 2004-based SNF market basket as labor-intensive); and a
proportion of capital-related expenses.
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 2014. 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 2014 than the base year weights
from the SNF market basket.
We calculate the labor-related relative importance for FY 2014 in
four steps. First, we compute the FY 2014 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
2014 price index level for that cost category by the total market
basket price index level. Third, we determine the FY 2014 relative
importance for each cost category by multiplying this ratio by the base
year (FY 2010) weight. Finally, we add the FY 2014 relative importance
for each of the labor-related cost categories (wages and salaries,
employee benefits, the labor-related portion of non-medical
professional fees, administrative and facilities support services, all
other: labor-related services (previously referred to in the FY 2004-
based SNF market basket as labor-intensive services), and a portion of
capital-related expenses) to produce the FY 2014 labor-related relative
importance. Tables 6 and 7 show the RUG-IV case-mix adjusted federal
rates by labor-related and non-labor-related components. In section V.
of this proposed rule, Table 17 provides the FY 2014 labor-related
share components based on the revised and rebased FY 2010-based SNF
market basket.
Table 6--RUG-IV Case-Mix Adjusted Federal Rates for Urban SNFs by Labor
and Non-Labor Component
------------------------------------------------------------------------
Total Labor Non-labor
RUG-IV Category rate portion portion
------------------------------------------------------------------------
RUX.................................... 761.39 $531.18 $230.21
RUL.................................... 744.79 519.60 225.19
RVX.................................... 677.69 472.78 204.91
RVL.................................... 608.00 424.17 183.83
RHX.................................... 614.00 428.35 185.65
RHL.................................... 547.63 382.05 165.58
RMX.................................... 563.23 392.93 170.30
RML.................................... 516.77 360.52 156.25
RLX.................................... 494.64 345.08 149.56
RUC.................................... 577.22 402.69 174.53
RUB.................................... 577.22 402.69 174.53
RUA.................................... 482.64 336.71 145.93
RVC.................................... 495.18 345.46 149.72
RVB.................................... 428.81 299.16 129.65
RVA.................................... 427.15 298.00 129.15
RHC.................................... 431.48 301.02 130.46
RHB.................................... 388.34 270.92 117.42
RHA.................................... 341.89 238.52 103.37
RMC.................................... 379.06 264.45 114.61
RMB.................................... 355.83 248.24 107.59
RMA.................................... 292.78 204.26 88.52
RLB.................................... 368.54 257.11 111.43
RLA.................................... 237.46 165.66 71.80
ES3.................................... 695.12 484.94 210.18
ES2.................................... 544.14 379.61 164.53
ES1.................................... 486.06 339.09 146.97
HE2.................................... 469.47 327.52 141.95
HE1.................................... 389.83 271.96 117.87
HD2.................................... 439.61 306.69 132.92
HD1.................................... 366.60 255.75 110.85
HC2.................................... 414.72 289.33 125.39
HC1.................................... 346.69 241.86 104.83
HB2.................................... 409.74 285.85 123.89
HB1.................................... 343.37 239.55 103.82
LE2.................................... 426.33 297.42 128.91
LE1.................................... 356.65 248.81 107.84
LD2.................................... 409.74 285.85 123.89
LD1.................................... 343.37 239.55 103.82
LC2.................................... 359.97 251.13 108.84
LC1.................................... 303.55 211.77 91.78
LB2.................................... 341.71 238.39 103.32
LB1.................................... 290.28 202.51 87.77
CE2.................................... 379.88 265.02 114.86
CE1.................................... 350.01 244.18 105.83
CD2.................................... 359.97 251.13 108.84
CD1.................................... 330.10 230.29 99.81
CC2.................................... 315.17 219.88 95.29
CC1.................................... 291.94 203.67 88.27
CB2.................................... 291.94 203.67 88.27
CB1.................................... 270.37 188.62 81.75
CA2.................................... 247.14 172.41 74.73
CA1.................................... 230.55 160.84 69.71
BB2.................................... 262.07 182.83 79.24
BB1.................................... 250.46 174.73 75.73
BA2.................................... 217.27 151.58 65.69
BA1.................................... 207.32 144.63 62.69
PE2.................................... 350.01 244.18 105.83
PE1.................................... 333.42 232.61 100.81
PD2.................................... 330.10 230.29 99.81
PD1.................................... 313.51 218.72 94.79
PC2.................................... 283.64 197.88 85.76
PC1.................................... 270.37 188.62 81.75
PB2.................................... 240.50 167.78 72.72
PB1.................................... 230.55 160.84 69.71
PA2.................................... 199.02 138.84 60.18
PA1.................................... 190.73 133.06 57.67
------------------------------------------------------------------------
[[Page 26448]]
Table 7--RUG-IV Case-Mix Adjusted Federal Rates for Rural SNFs by Labor
and Non-Labor Component
------------------------------------------------------------------------
Total Labor Non-labor
RUG-IV Category rate portion portion
------------------------------------------------------------------------
RUX.................................... 778.99 $543.45 $235.54
RUL.................................... 763.14 532.40 230.74
RVX.................................... 684.45 477.50 206.95
RVL.................................... 617.87 431.05 186.82
RHX.................................... 612.97 427.63 185.34
RHL.................................... 549.56 383.40 166.16
RMX.................................... 557.05 388.62 168.43
RML.................................... 512.67 357.66 155.01
RLX.................................... 484.86 338.26 146.60
RUC.................................... 603.03 420.70 182.33
RUB.................................... 603.03 420.70 182.33
RUA.................................... 512.67 357.66 155.01
RVC.................................... 510.08 355.85 154.23
RVB.................................... 446.67 311.61 135.06
RVA.................................... 445.08 310.51 134.57
RHC.................................... 438.59 305.98 132.61
RHB.................................... 397.38 277.23 120.15
RHA.................................... 352.99 246.26 106.73
RMC.................................... 381.10 265.87 115.23
RMB.................................... 358.90 250.38 108.52
RMA.................................... 298.67 208.36 90.31
RLB.................................... 364.38 254.21 110.17
RLA.................................... 239.15 166.84 72.31
ES3.................................... 671.33 468.35 202.98
ES2.................................... 527.08 367.71 159.37
ES1.................................... 471.60 329.01 142.59
HE2.................................... 455.74 317.94 137.80
HE1.................................... 379.65 264.86 114.79
HD2.................................... 427.21 298.04 129.17
HD1.................................... 357.46 249.38 108.08
HC2.................................... 403.43 281.45 121.98
HC1.................................... 338.44 236.11 102.33
HB2.................................... 398.68 278.14 120.54
HB1.................................... 335.27 233.90 101.37
LE2.................................... 414.53 289.19 125.34
LE1.................................... 347.95 242.74 105.21
LD2.................................... 398.68 278.14 120.54
LD1.................................... 335.27 233.90 101.37
LC2.................................... 351.12 244.96 106.16
LC1.................................... 297.22 207.35 89.87
LB2.................................... 333.68 232.79 100.89
LB1.................................... 284.54 198.51 86.03
CE2.................................... 370.14 258.22 111.92
CE1.................................... 341.61 238.32 103.29
CD2.................................... 351.12 244.96 106.16
CD1.................................... 322.59 225.05 97.54
CC2.................................... 308.32 215.10 93.22
CC1.................................... 286.13 199.62 86.51
CB2.................................... 286.13 199.62 86.51
CB1.................................... 265.52 185.24 80.28
CA2.................................... 243.33 169.76 73.57
CA1.................................... 227.48 158.70 68.78
BB2.................................... 257.59 179.71 77.88
BB1.................................... 246.50 171.97 74.53
BA2.................................... 214.79 149.85 64.94
BA1.................................... 205.28 143.21 62.07
PE2.................................... 341.61 238.32 103.29
PE1.................................... 325.76 227.26 98.50
PD2.................................... 322.59 225.05 97.54
PD1.................................... 306.74 213.99 92.75
PC2.................................... 278.20 194.08 84.12
PC1.................................... 265.52 185.24 80.28
PB2.................................... 236.99 165.33 71.66
PB1.................................... 227.48 158.70 68.78
PA2.................................... 197.36 137.69 59.67
PA1.................................... 189.43 132.15 57.28
------------------------------------------------------------------------
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
under the SNF PPS that are greater or less than would otherwise be made
if the wage adjustment had not been made. For FY 2014 (federal rates
effective October 1, 2013), 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 2013 to the weighted average wage adjustment
factor for FY 2014. For this calculation, we use the same 2012 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
FY 2014 is 1.0003. The wage index applicable to FY 2014 is set forth in
Tables A and B, which appear in the Addendum of this proposed rule, and
is also available on the CMS Web site at https://cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/WageIndex.html.
In the SNF PPS final rule for FY 2006 (70 FR 45026, August 4,
2005), we adopted the changes discussed in the 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. We indicated in the FY 2008 SNF PPS
final rule (72 FR 43423), that 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 are
available online at https://www.whitehouse.gov/omb/bulletins/.
In adopting the CBSA geographic designations, we provided for a 1-
year transition in FY 2006 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 proposed rule.
On February 28, 2013, OMB issued OMB Bulletin No. 13-01, announcing
revisions to the delineation of Metropolitan Statistical Areas,
Micropolitian Statistical Areas, and Combined Statistical Areas, and
guidance on uses of the delineation of these areas. A copy of this
bulletin may be obtained at https://www.whitehouse.gov/sites/default/files/omb/bulletins/2013/b-13-01.pdf. This bulletin states that it
provides the delineations of all Metropolitan Statistical Areas,
Metropolitan Divisions, Micropolitan Statistical Areas, Combined
Statistical Areas, and New England City and Town Areas in the United
States and Puerto Rico based on the standards published in the June 28,
2010 Federal Register (75 FR 37246-37252) and Census Bureau data.
While the revisions OMB published on February 28, 2013 are not as
sweeping as the changes made when we adopted the CBSA geographic
designations for FY 2006, the February 28, 2013 bulletin does contain a
number of significant changes. For example, there are new CBSAs, urban
counties that become rural, rural counties that become urban, and
existing CBSAs that are being split apart.
The changes made by the bulletin and their ramifications must be
extensively reviewed and assessed by CMS before using them for the SNF
PPS wage index. Because the bulletin was not issued until February 28,
2013, we were unable to undertake such a lengthy process before
publication of this FY 2014 proposed rule. By the time the bulletin was
issued, the FY 2014 SNF PPS proposed rule was in the advanced stages of
development. We had already developed the FY 2014 proposed wage index
based on the previous OMB definitions. To allow for sufficient time to
assess the new changes and their ramifications, we intend to propose
changes to the wage index based on the newest CBSA changes in the FY
2015 SNF PPS proposed rule. Thus, we would continue to use the previous
OMB definitions (that is, those used for the FY 2013 SNF PPS update
notice) for the FY 2014 SNF PPS wage index.
E. Adjusted Rate Computation Example
Using the hypothetical SNF XYZ described below, Table 8 shows the
[[Page 26449]]
adjustments made to the federal per diem rates to compute the
provider's actual per diem PPS payment under the described scenario. We
derive the Labor and Non-labor columns from Table 6. As illustrated in
Table 8, SNF XYZ's total PPS payment would equal $41,917.80.
Table 8--Adjusted Rate Computation Example, SNF XYZ: Located in Cedar Rapids, IA (Urban CBSA 16300), Wage Index: 0.9001
--------------------------------------------------------------------------------------------------------------------------------------------------------
Adjusted Adjusted Percent Medicare
RUG-IV group Labor Wage index labor Non-labor rate adjustment days Payment
--------------------------------------------------------------------------------------------------------------------------------------------------------
RVX............................................. $472.78 0.9001 $425.55 $204.91 $630.46 $630.46 14 $8,826.44
ES2............................................. 379.61 0.9001 341.69 164.53 506.22 506.22 30 15,186.60
RHA............................................. 238.52 0.9001 214.69 103.37 318.06 318.06 16 5,088.96
CC2*............................................ 219.88 0.9001 197.91 95.29 293.20 668.50 10 6,685.00
BA2............................................. 151.58 0.9001 136.44 65.69 202.13 202.13 30 6,063.90
-------------------------------------------------------------------------------------------------------
........... ........... ........... ........... ........... ........... 100 $41,850.90
--------------------------------------------------------------------------------------------------------------------------------------------------------
* Reflects a 128 percent adjustment from section 511 of the MMA.
IV. Additional Aspects of the SNF PPS
A. SNF Level of Care--Administrative Presumption
The establishment of the SNF PPS did not change Medicare's
fundamental requirements for SNF coverage. However, because the case-
mix 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 discussed in
section III.C of this proposed rule. This approach includes an
administrative presumption that utilizes a beneficiary's initial
classification in one of the upper 52 RUGs of the 66-group RUG-IV case-
mix classification system to assist in making certain SNF level of care
determinations.
In accordance with section 1888(e)(4)(H)(ii) of the Act and the
regulations at Sec. 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 Sec. 409.30. As set forth in the FY 2011
SNF PPS update notice (75 FR 42910), this designation reflects an
administrative presumption under the 66-group RUG-IV system that
beneficiaries who are correctly assigned to one of the upper 52 RUG-IV
groups on the initial 5-day, 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 14 RUG-IV 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 52 RUG-IV 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 14
RUG-IV groups.
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 in the case-mix classification
structure. In this proposed rule, we would continue to designate the
upper 52 RUG-IV groups for purposes of this administrative presumption,
consisting of all groups encompassed by the following RUG-IV
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.
However, we note that this administrative presumption policy does
not supersede the SNF's responsibility to ensure that its decisions
relating to level of care are appropriate and timely, including a
review to confirm that the services prompting the beneficiary's
assignment to one of the upper 52 RUG-IV groups (which, in turn, serves
to trigger the administrative presumption) are themselves medically
necessary. As we explained in the FY 2000 SNF PPS final rule (64 FR
41667), the administrative presumption:
``. . . is itself rebuttable in those individual cases in which
the services actually received by the resident do not meet the basic
statutory criterion of being reasonable and necessary to diagnose or
treat a beneficiary's condition (according to section 1862(a)(1) of
the Act). Accordingly, the presumption would not apply, for example,
in those situations in which a resident's assignment to one of the
upper . . . groups is itself based on the receipt of services that
are subsequently determined to be not reasonable and necessary.''
Moreover, we want to stress the importance of careful monitoring for
changes in each patient's condition to determine the continuing need
for Part A SNF benefits after the assessment reference date of the 5-
day assessment.
B. Consolidated Billing
Sections 1842(b)(6)(E) and 1862(a)(18) of the Act (as added by
section 4432(b) of the BBA) require 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, section
1862(a)(18) places the responsibility with the SNF for billing Medicare
for physical therapy, occupational therapy, and speech-language
pathology services that the resident receives during a noncovered stay.
Section 1888(e)(2)(A) of the Act excludes a small list of services from
the consolidated billing provision (primarily those services furnished
by physicians and certain other types of practitioners), which remain
separately billable under Part B when furnished to a SNF's Part A
resident. 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).
We note that section 103 of the Medicare, Medicaid, and SCHIP
Balanced Budget Refinement Act of 1999 (BBRA) (Pub. L. 106-113, enacted
on November 29, 1999) amended this provision (section 1888(e)(2)(A) of
the
[[Page 26450]]
Act) by further excluding a number of individual ``high-cost, low-
probability'' services, identified by Healthcare Common Procedure
Coding System (HCPCS) codes, within several broader categories
(chemotherapy items, chemotherapy administration services, radioisotope
services, and customized prosthetic devices) that otherwise remained
subject to the provision. We discuss this BBRA amendment in greater
detail in the SNF PPS proposed and final rules for FY 2001 (65 FR 19231
through 19232, April 10, 2000, and 65 FR 46790 through 46795, July 31,
2000), as well as in Program Memorandum AB-00-18 (Change Request
1070), issued March 2000, which is available online at
www.cms.gov/transmittals/downloads/ab001860.pdf.
As explained in the FY 2001 proposed rule (65 FR 19232), 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 ``. . . high-
cost, 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) of the BBRA ``is an attempt to exclude from the PPS
certain services and costly items that are provided infrequently in
SNFs. . . .'' By contrast, we noted that the Congress declined to
designate for exclusion any of the remaining services within those four
categories (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), and as our longstanding policy, any additional service codes
that we 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 this
proposed rule, we specifically invite public comments identifying HCPCS
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. We may consider excluding a particular service if it meets our
criteria for exclusion as specified above. Commenters should identify
in their comments the specific HCPCS code that is associated with the
service in question, as well as their rationale for requesting that the
identified HCPCS code(s) be excluded.
We note that the original BBRA amendment (as well as the
implementing regulations) identified a set of excluded services by
means of specifying HCPCS codes that were in effect as of a particular
date (in that case, as of July 1, 1999). Identifying the excluded
services in this manner made it possible for us to utilize program
issuances as the vehicle for accomplishing routine updates of the
excluded codes, to reflect any minor revisions that might subsequently
occur in the coding system itself (for example, the assignment of a
different code number to the same service). Accordingly, in the event
that we identify through the current rulemaking cycle any new services
that would actually represent a substantive change in the scope of the
exclusions from SNF consolidated billing, we would identify these
additional excluded services by means of the HCPCS codes that are in
effect as of a specific date (in this case, as of October 1, 2013). By
making any new exclusions in this manner, we could similarly accomplish
routine future updates of these additional codes through the issuance
of program instructions.
C. Payment for SNF-Level Swing-Bed Services
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-level care, as needed. For
critical access hospitals (CAHs), Part A pays on a reasonable cost
basis for SNF-level 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. As explained in the FY 2002 final rule (66 FR 39562), this
effective date is consistent with the statutory provision to integrate
swing-bed rural hospitals into the SNF PPS by the end of the transition
period, June 30, 2002.
Accordingly, all non-CAH swing-bed rural hospitals have now come
under the SNF PPS. Therefore, all rates and wage indexes outlined in
earlier sections of this proposed rule for the SNF PPS also apply to
all non-CAH swing-bed rural hospitals. A complete discussion of
assessment schedules, the MDS, and the transmission software (RAVEN-SB
for Swing Beds) appears in the FY 2002 final rule (66 FR 39562) and in
the FY 2010 final rule (74 FR 40288). As finalized in the FY 2010 SNF
PPS final rule (74 FR 40356-57), effective October 1, 2010, non-CAH
swing-bed rural hospitals are required to complete an MDS 3.0 swing-bed
assessment which is limited to the required demographic, payment, and
quality items. The latest changes in the MDS for swing-bed rural
hospitals appear on the SNF PPS Web site at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/.
V. Other Issues
A. Revising and Rebasing the SNF Market Basket Index
1. Background
Section 1888(e)(5)(A) of the Act requires the Secretary to
establish a market basket index that reflects the changes over time in
the prices of an appropriate mix of goods and services included in the
SNF PPS. Effective for cost reporting periods beginning on or after
July 1, 1998, we revised and rebased our 1977 routine costs input price
index and adopted a total expenses SNF input price index using FY 1992
as the base year. In the FY 2002 SNF PPS final rule (66 FR 39582), we
rebased and revised the market basket to a base year of FY 1997. We
last rebased and revised the market basket to a base year of FY 2004 in
the FY 2008 SNF PPS final rule (72 FR 43425). In this FY 2014 SNF PPS
proposed rule, we are
[[Page 26451]]
proposing to revise and rebase the SNF market basket to a base year of
FY 2010.
The term ``market basket'' refers to the mix of goods and services
needed to produce SNF care, and is also commonly used to denote the
input price index that includes both weights (mix of goods and
services) and price factors. The term ``market basket'' and ``market
basket index'' used in this proposed rule refers to the SNF input price
index.
The proposed FY 2010-based SNF market basket represents routine
costs, costs of ancillary services, and capital-related costs. The
percentage change in the market basket reflects the average change in
the price of a fixed set of goods and services purchased by SNFs to
furnish all services. For further background information, see the May
12, 1998 interim final rule with comment period (63 FR 26289), the FY
2002 final rule (66 FR 39582), and the FY 2008 final rule (72 FR
43425).
For purposes of the SNF PPS, the SNF market basket is a fixed-
weight (Laspeyres-type) price index. A Laspeyres-type index compares
the cost of purchasing a specified mix of goods and services in a
selected base period to the cost of purchasing that same group of goods
and services at current prices.
We construct the market basket in three steps. The first step is to
select a base period and estimate total base period expenditure shares
for mutually exclusive and exhaustive spending categories. We use total
costs for routine services, ancillary services, and capital. These
shares are called ``cost'' or ``expenditure'' weights. The second step
is to match each expenditure category to a price/wage variable, called
a price proxy. We draw these price proxy variables from publicly
available statistical series published on a consistent schedule,
preferably at least quarterly. The final step involves multiplying the
price level for each spending category by the cost weight for that
category. The sum of these products (that is, weights multiplied by
proxy index levels) for all cost categories yields the composite index
level of the market basket for a given quarter or year. Repeating the
third step for other quarters and years produces a time series of
market basket index levels, from which we can calculate rates of
growth.
The market basket represents a fixed-weight index because it
answers the question of how much more or less it would cost, at a later
time, to purchase the same mix of goods and services that was purchased
in the base period. The effects on total expenditures resulting from
changes in the quantity or mix of goods and services purchased
subsequent or prior to the base period are, by design, not considered.
Consistent with our discussion in the May 12, 1998 interim final
rule with comment period (63 FR 26252), the FY 2002 final rule (66 FR
39582), and the FY 2008 proposed rule (72 FR 25541), and as further
discussed below, to implement section 1888(e)(5)(A) of the Act we
propose to revise and rebase the market basket so the cost weights and
price proxies reflect the mix of goods and services that underlie
Medicare allowable SNF costs (routine, ancillary, and capital-related)
for FY 2010.
2. Revising and Rebasing the Skilled Nursing Facility Market Basket
The terms ``rebasing'' and ``revising,'' while often used
interchangeably, actually denote different activities. Rebasing means
shifting the base year for the structure of costs of the input price
index (for example, for this proposed rule, we propose to shift the
base year cost structure from FY 2004 to FY 2010). Revising means
changing data sources, cost categories, price proxies, and/or
methodology used in developing the input price index.
We are proposing both to rebase and revise the SNF market basket to
reflect FY 2010 Medicare allowable total cost data (routine, ancillary,
and capital-related). Medicare allowable costs are costs that are
eligible for inclusion under the SNF PPS payments. For example, the SNF
market basket excludes home health aide costs as these costs would be
reimbursed under the Home Health PPS. We last rebased and revised the
SNF market basket in the FY 2008 PPS final rule (72 FR 43425),
reflecting data from FY 2004 Medicare allowable total costs.
We selected FY 2010 as the new base year because 2010 is the most
recent year for which relatively complete Medicare cost report (MCR)
data are available. In developing the proposed market basket, we
reviewed SNF expenditure data from SNF MCRs (CMS Form 2540-96) for FY
2010 for each freestanding SNF that reported Medicare expenses and
payments. The FY 2010 cost reports are those with cost reporting
periods beginning after September 30, 2009, and before October 1, 2010.
We propose to maintain our policy of using data from freestanding SNFs
because freestanding SNF data reflect the actual cost structure faced
by the SNF itself. In contrast, expense data for a hospital-based SNF
reflect the allocation of overhead over the entire institution. Due to
this method of allocation, total expenses will be correct, but the
individual components' expenses may be skewed.
We developed cost category weights for the proposed FY 2010-based
SNF market basket in two stages. First, we derived base weights for
seven major categories (wages and salaries, employee benefits, contract
labor, pharmaceuticals, professional liability insurance, capital-
related, and a residual ``all other'') from the SNF MCRs. Second, we
are proposing to divide the residual ``all other'' cost category
(21.534 percent) into subcategories, using U.S. Department of Commerce
Bureau of Economic Analysis' (BEA) 2002 Benchmark Input-Output (I-O)
tables for the nursing home industry aged forward using price changes.
The methodology we propose to use to age the data forward involves
applying the annual price changes from the respective price proxies to
the appropriate cost categories. We repeat this practice for each year.
We then apply the resulting 2010 distributions to the aggregate 2010
``all other'' cost weight of 21.534 percent to yield the detailed 2010
all other cost weights. This is similar to the methodology we used to
revise and rebase the SNF market basket to reflect FY 2004 data in the
FY 2008 SNF final rule.
The BEA Benchmark I-O data are generally scheduled for publication
every 5 years, with the most recent data available being 2002. The 2007
BEA Benchmark I-O data are expected to be released in the summer of
2013. We are proposing that if more recent BEA Benchmark I-O data for
2007 are released between the proposed and final rule with sufficient
time to incorporate such data into the final rule that we would
incorporate these data, as appropriate, into the FY 2010-based SNF PPS
market basket for the final rule, so that the SNF market basket
reflects the most recent BEA data available. We note that the FY 2004-
based SNF market basket used the 1997 BEA Benchmark I-O data to
disaggregate the ``all other'' (residual) cost category--the data
available at the time of the rebasing. The 2002 BEA Benchmark I-O data
(and the forthcoming 2007 BEA Benchmark I-O data) are updates of the
1997 BEA Benchmark I-O data.
For this SNF market basket revision and rebasing, we are proposing
to include a total of 29 detailed cost categories for the proposed FY
2010-based SNF market basket, which is six more cost categories than
the FY 2004-based SNF market basket. We are proposing to include five
new cost categories in the proposed FY 2010-based SNF market basket:
(1) Medical
[[Page 26452]]
Instruments and Supplies; (2) Apparel; (3) Machinery and Equipment; (4)
Administrative and Facilities Support Services; and (5) Financial
Services. Having separate categories for these costs enables them to be
proxied more precisely. We are also proposing to divide the Nonmedical
Professional Fees cost category into Nonmedical Professional Fees:
Labor-Related and Nonmedical Professional Fees: Nonlabor-Related. In
addition, we are proposing to revise our labels for the Labor-Intensive
Services and Nonlabor-Intensive Services cost categories to All Other:
Labor-Related Services and All Other: Nonlabor-Related Services,
respectively. A more thorough discussion of our proposals is provided
below.
The capital-related portion of the FY 2010-based SNF market basket
employs the same overall methodology used to develop the capital-
related portion of the FY 1997-based SNF market basket, described in
the FY 2002 SNF PPS final rule (66 FR 39582) and the FY 2004-based SNF
market basket, described in the FY 2008 SNF PPS final rule (72 FR
43425). It is a similar methodology as is used for the inpatient
hospital capital input price index described in the FY 1997 Hospital
IPPS proposed rule (61 FR 27466), the FY 1997 Hospital IPPS final rule
(61 FR 46196), the FY 2006 Hospital IPPS final rule (70 FR 47407), and
the FY 2010 Hospital IPPS final rule (74 FR 43857). The strength of
this methodology is that it reflects the vintage nature of capital,
which represents the acquisition and use of capital over time. We
explain this methodology in more detail below.
Table 9 presents the FY 2010-based and FY 2004-based SNF market
basket major cost weights. Following the table, we describe the sources
of the major category weights and their subcategories in the FY 2010-
based SNF market basket.
Table 9--FY 2010-Based SNF Market Basket Major Cost Weights
------------------------------------------------------------------------
Proposed FY 2010-
Cost Category based SNF market FY 2004-based SNF
basket market basket
------------------------------------------------------------------------
Wages and Salaries................ 46.057 48.105
Employee Benefits................. 10.491 10.699
Contract Labor.................... 5.545 3.951
Pharmaceuticals................... 7.872 7.894
Professional Liability Insurance.. 1.141 1.717
Capital-related Expenses.......... 7.360 7.207
All Other (residual).............. 21.534 20.427
------------------------------------------------------------------------
Wages and Salaries: We derived the wages and salaries cost
category using the FY 2010 SNF MCRs. We determined the share using
Medicare allowable wages and salaries from Worksheet S-3, part II and
total expenses from Worksheet B, part I. Medicare allowable wages and
salaries are equal to total wages and salaries minus: (1) Excluded
salaries from worksheet S-3, part II; and (2) nursing facility and non-
reimbursable salaries from worksheet A, lines 18, 34 through 36, and 58
through 63. Medicare allowable total expenses are equal to total
expenses from Worksheet B, lines 16, 21 through 30, 32, 33, 48, and 52
through 54. This share represents the wage and salary share of costs
for employees for the SNF, and does not include the wages and salaries
from contract labor, which are allocated to wages and salaries in a
later step. The same cost report methodology was used to derive the
wages and salaries cost weight of the FY 2004-based SNF market basket.
Employee Benefits: We determined the weight for employee
benefits using FY 2010 SNF MCR data. We derived the share using
Medicare allowable benefit costs from Worksheet S-3, part II and total
expenses from Worksheet B. Medicare allowable benefits are equal to
total benefits from Worksheet S-3, part II, minus excluded (non-
Medicare allowable) benefits. Non-Medicare allowable benefits are
derived by multiplying non-Medicare allowable salaries times the ratio
of total benefit costs for the SNF to the total wage costs for the SNF.
The same cost report methodology was used to derive the benefits cost
weight of the FY 2004-based SNF market basket.
Contract Labor: We determined the weight for contract
labor using 2010 SNF MCR data. We derived the share using Medicare
allowable contract labor costs from Worksheet S-3, part II line 17
minus nursing facility (NF) contract labor costs, and Medicare
allowable total costs from Worksheet B. (Worksheet S-3, part II line 17
only includes direct patient care contract labor attributable to SNF
and NF services.) NF contract labor costs, which are not reimbursable
under Medicare, are derived by multiplying total contract labor costs
by the ratio of NF wages and salaries to the sum of NF and SNF wages
and salaries.
As we did for the FY 2004-based SNF market basket, we propose to
allocate contract labor costs to the wages and salaries and employee
benefits cost weights based on their relative proportion, under the
assumption that contract costs are similarly distributed and likely to
change at the same rate as direct labor costs even though unit labor
cost levels may be different. The contract labor allocation proportion
for wages and salaries is equal to the wages and salaries cost weight
as a percent of the sum of the wages and salaries cost weight and the
employee benefits cost weight. Using the FY 2010 MCR data, this
percentage is approximately 81 percent; therefore, we propose to
allocate approximately 81 percent of the contract labor cost weight to
the wages and salaries cost weight. The remaining proportion of the
contract labor cost weight is allocated to the employee benefits cost
weight. Table 10 shows the wages and salaries and employee benefit cost
weights after contract labor allocation for both the FY 2004-based SNF
market basket and the proposed FY 2010-based SNF market basket.
[[Page 26453]]
Table 10--Wages and Salaries and Employee Benefits Cost Weights After
Contract Labor Allocation
------------------------------------------------------------------------
Proposed FY 2010-
Major cost categories based SNF market FY 2004-Based SNF
basket market basket
------------------------------------------------------------------------
Wages and salaries................ 50.573 51.337
Employee benefits................. 11.520 11.418
------------------------------------------------------------------------
Prior to contract labor allocation, the proposed FY 2010-based SNF
market basket wages and salaries cost weight was about 2 percentage
points lower than the FY 2004-based SNF market basket wages and
salaries cost weight while the proposed FY 2010-based employee benefit
cost weight was 0.2 percentage point lower than the FY 2004-based
employee benefit cost weight. After the allocation of contract labor,
the proposed FY 2010-based wages and salaries cost weight is about 0.7
percentage point lower than the FY 2004-based wages and salaries cost
weight while the proposed FY 2010-based employee benefits cost weight
is about 0.1 percentage point higher than the FY 2004-based employee
benefit cost weight. This is due to the increase in the FY 2010-based
SNF market basket contract labor cost weight from the FY 2004-based SNF
market basket contract labor cost weight, of which 81 percent of this
increase is applied to the wages and salaries cost weight and 19
percent is applied to the employee benefit cost weight, offsetting the
actual decrease in the wages and salaries and employee benefit cost
weights prior to the contract labor allocation.
Pharmaceuticals: We derive the cost weight for
pharmaceuticals in two steps using the FY 2010 SNF MCR and Medicare
claims data.
First, we calculated pharmaceutical costs using the non-salary
costs from the Pharmacy cost center and the Drugs Charged to Patients'
cost center, both found on Worksheet B of the SNF MCRs. Since these
drug costs were attributable to the entire SNF and not limited to
Medicare allowable services, we adjusted the drug costs by the ratio of
Medicare allowable pharmacy total costs to total pharmacy costs from
Worksheet B, part I, column 11. Worksheet B, part I allocates the
general service cost centers, which are often referred to as ``overhead
costs'' (in which pharmacy costs are included) to the Medicare
allowable and non-Medicare allowable cost centers. This resulted in a
proposed FY 2010-based SNF market basket drug cost weight of 3.1
percent compared to the FY 2004-based SNF market basket drug cost
weight, which was 3.2 percent using the same methodology. This drug
cost share does not include the drug expenses associated with Medicaid
patients. The methodology for including the Medicaid drug expenditures
is explained in detail below. This Medicaid drug add-on increases the
drug expenditure weight to over seven percent, and is consistent with
the Medicaid drug add-on method that was used in the FY 2004-based SNF
market basket.
Second, for the FY 2010-based SNF market basket, we are proposing
to continue to adjust the drug expenses reported on the MCR to include
an estimate of total Medicaid drug costs, which are not represented in
the Medicare-allowable drug cost weight. Similar to the last rebasing,
we are estimating Medicaid drug costs based on data representing dual-
eligible Medicaid beneficiaries. Medicaid drug costs are estimated by
multiplying Medicaid dual eligible drug costs per day times the number
of Medicaid days as reported in the Medicare allowable skilled nursing
cost center in the SNF MCR. Medicaid dual eligible drug costs per day
(where the day represents an unduplicated drug supply day) were
estimated using a sample of 2010 Part D claims for those dual-eligible
beneficiaries who had a Medicare SNF stay during the year. Medicaid
dual-eligible beneficiaries would receive their drugs through the
Medicare Part D benefit, which would work directly with the pharmacy,
and therefore, these costs would not be represented in the Medicare SNF
MCRs. A random 20 percent sample of Medicare Part D claims data yielded
a Medicaid drug cost per day of $17.39. We note that the FY 2004-based
SNF market basket relied on data from the Medicaid Statistical
Information System, which yielded a dual eligible Medicaid drug cost
per day of $13.65 for 2004. For the revised and rebased FY 2010-based
SNF market basket, we propose to use Part D claims to estimate total
Medicaid drug costs as this provides drug expenditure data for dual-
eligible beneficiaries for 2010. The Medicaid Statistical Information
System is no longer a comprehensive database for dual-eligible
beneficiaries' drug costs.
The proposed adjusted FY 2010-based SNF market basket drug cost
weight, representing all drug expenditures including those we estimated
for Medicaid, is 7.872 percent. The FY 2004-based SNF market basket
pharmaceutical cost weight was 7.894 percent.
Professional Liability Insurance: We calculated the
professional liability insurance cost weight using costs from Worksheet
S-2 of the MCRs as the sum of premiums, paid losses, and self-
insurance. To derive the professional liability insurance cost weight
for the proposed FY 2010-based SNF market basket, we used the same cost
report methodology that was used to derive the cost weight of the FY
2004-based SNF market basket (see 72 FR 25543-25544). For the proposed
FY 2010-based SNF market basket, the professional liability weight is
1.141 percent, which is slightly lower than the 1.717 weight for the FY
2004-based SNF market basket.
Capital-Related: We derived the weight for overall
capital-related expenses using the FY 2010 SNF MCRs. We calculated the
Medicare allowable capital-related cost weight from Worksheet B, part
II. In determining the subcategory weights for capital, we used
information from the FY 2010 SNF MCR and the 2010 Bureau of Census'
Service Annual Survey (SAS) data. For the FY 2004-based SNF market
basket, we relied on the Bureau of Census Business Expenditure Survey
(BES). The SAS data is a replacement/extension of the BES data,
reflecting more recent data.
We calculated the depreciation cost weight (that is, depreciation
costs excluding leasing costs) using depreciation costs from Worksheet
S-2. Since the depreciation costs reflect the entire SNF facility
(Medicare and non-Medicare allowable units) we used total facility
costs as the denominator. This methodology assumes that the
depreciation of an asset is the same regardless of whether the asset
was used for Medicare or non-Medicare patients. This methodology
yielded a FY 2010-based SNF market basket depreciation cost weight of
2.301 percent. This depreciation cost weight is further adjusted to
account for a proportion of leasing expenses, which is described in
more detail below. We determined the distribution between building and
fixed equipment and movable equipment depreciation from the FY 2010 SNF
[[Page 26454]]
MCR, as well. The FY 2010 SNF MCR data showed a fixed/moveable
depreciation split of 85/15, which is the same split used in the FY
2004-based SNF market basket.
We also derived the interest expense share of capital-related
expenses from Worksheet A from the FY 2010 SNF MCRs. Similar to the
depreciation cost weight, we calculated the interest cost weight using
total facility costs. As done with the last rebasing, we determined the
split of interest expense between for-profit and not-for-profit
facilities based on the distribution of long-term debt outstanding by
type of SNF (for-profit or not-for-profit) from the FY 2010 SNF MCRs.
We estimated the split between for-profit and not-for-profit interest
expense to be 41/59 percent.
Because the data were not available in the MCRs, we used the most
recent 2010 SAS data to derive the capital-related expenses
attributable to leasing and other capital-related expenses. Based on
the 2010 SAS data, we determined the leasing costs to be 30 percent of
total capital-related expenses, while we determined the other capital-
related costs (insurance, taxes, licenses, other) to be 18 percent of
total capital-related expenses. In the FY 2004-based SNF market basket,
leasing costs represent 21 percent of total capital-related expenses
while other capital-related costs represent 13 percent of total
capital-related expenses.
Lease expenses are not broken out as a separate cost category, but
are distributed among the cost categories of depreciation, interest,
and other capital, reflecting the assumption that the underlying cost
structure and price movement of leasing expenses is similar to capital
costs in general. As was done in previous rebasings, we assumed 10
percent of lease expenses are overhead and assigned them to the other
capital expenses cost category. We distributed the remaining lease
expenses to the three cost categories based on the proportion of
depreciation, interest, and other capital expenses to total capital
costs, excluding lease expenses.
Table 11 shows the capital-related expense distribution (including
expenses from leases) in the proposed FY 2010-based SNF market basket
and the FY 2004-based SNF market basket.
Table 11--Comparison of the Capital-Related Expense Distribution of the
FY 2010-Based SNF Market Basket and the FY 2004-Based SNF Market Basket
------------------------------------------------------------------------
Proposed FY 2010-
Cost category based SNF market FY 2004-based SNF
basket market basket
------------------------------------------------------------------------
Capital-related expenses.......... 7.360 7.207
Total Depreciation................ 3.180 2.858
Total Interest.................... 2.096 3.037
Other Capital-related Expenses.... 2.084 1.312
------------------------------------------------------------------------
Our methodology for determining the price change of capital-related
expenses accounts for the vintage nature of capital, which is the
acquisition and use of capital over time. To capture this vintage
nature, the price proxies must be vintage-weighted. The determination
of these vintage weights occurs in two steps. First, we must determine
the expected useful life of capital and debt instruments held by SNFs.
Second, we must identify the proportion of expenditures within a cost
category that is attributable to each individual year over the useful
life of the relevant capital assets, or the vintage weights. We rely on
Bureau of Economic Analysis (BEA) fixed asset data to derive the useful
lives of both fixed and movable capital, which is the same data source
used to derive the useful lives during the last rebasing. The specifics
of the data sources used are explained below.
Estimates of useful lives for movable and fixed assets for the
proposed FY 2010-based SNF market basket are 6 and 25 years,
respectively. These estimates are based on several data sources from
the BEA, which publishes various useful life-related statistics,
including asset service lives and current-cost average age, historical
cost average age, and industry-specific current cost net stocks of
assets. While SNF-specific data are not available, we can use the BEA
data to develop estimates of useful life that are approximates of SNF
capital purchases.
There are two major issues we must address in using the BEA service
life data to develop SNF-specific estimates. First, these data are
published at a detailed asset level and not at an aggregate level, such
as movable and fixed assets. There are 43 detailed movable assets in
the BEA estimates. Some examples include computer software (34 months
service life), electromedical equipment (9 years), medical instruments
and related equipment (12 years), communication equipment (15 years),
and office equipment (8 years). There are 23 detailed fixed assets in
the BEA estimates. Some examples of detailed fixed assets are medical
office buildings (36 years), hospitals and special care buildings (48
years), and lodging (32 years). Again, there are no service life
estimates at an aggregate level, such as movable and fixed assets. The
second reason BEA service life data are not directly applicable to SNFs
is that service lives are not industry-specific; they apply to many
different industries and, in most cases, to all industries in the
economy. We seek estimates applicable to nursing homes for our SNF-
specific estimates. BEA also publishes average asset age estimates.
Average age estimates are updated more regularly than service lives
data but reflect an average age rather than a service life. To get an
estimate of the available service life of an asset, the average age is
multiplied by 2 to reflect that some assets are retired prior to the
useful life being exhausted. Average age data are available by detailed
and aggregate asset levels for the overall economy and were last
published in 2012.
We developed a methodology to approximate movable and fixed asset
ages for nursing and residential care services (NAICS 623) using the
published BEA data. For the proposed FY 2010 SNF market basket, we use
the average age for each asset type from the BEA fixed assets Table 2.9
for all assets (not SNF-specific) and weight them using current cost
net stock levels for each of these asset types in the nursing and
residential care services industry. Current cost net stock levels are
available for download from the BEA Web site at https://www.bea.gov/national/FA2004/Details/.
These detailed current cost net stock estimates are not published
in the Survey of Current Business, a U.S. Department of Commerce
monthly publication that provides data on U.S. businesses. Historical
cost average age
[[Page 26455]]
estimates for all industries are published in the BEA fixed assets
Table 2.10; there are no industry-specific estimates for historical
cost average age. Industry-specific historical cost average ages for
NAICS 6230 is estimated by multiplying the industry specific current
cost average age by the ratio of historical cost to current cost
average age for all industries. This produces historical cost average
age data for movable and fixed assets specific to NAICS 6230 of 3.2 and
12.2 years, respectively. Since averages are measures of central
tendency, we multiply each of these estimates by two to produce
estimates of likely useful lives of 6.4 and 24.5 years for movable and
fixed assets, which we round to 6 and 25 years, respectively. We are
proposing an interest vintage weight time span of 22 years, obtained by
weighting the fixed and movable vintage weights (25 years and 6 years,
respectively) by the fixed and movable split (85 percent and 15
percent, respectively).
Given the expected useful life of capital and debt instruments, we
must determine the proportion of capital expenditures attributable to
each year of the expected useful life by cost category. These
proportions represent the vintage weights. We were not able to find a
historical time series of capital expenditures by SNFs. Therefore, we
approximated the capital expenditure patterns of SNFs over time, using
alternative SNF data sources. For building and fixed equipment, we used
the stock of beds in nursing homes from the National Nursing Home
Survey (NNHS) conducted by the National Center for Health Statistics
(NCHS) for 1962 through 1999. For 2000 through 2010, we extrapolated
the 1999 bed data forward using a 10-year moving average of growth in
the number of beds from the SNF MCR data. We then used the change in
the stock of beds each year to approximate building and fixed equipment
purchases for that year. This procedure assumes that bed growth
reflects the growth in capital-related costs in SNFs for building and
fixed equipment. We believe that this assumption is reasonable because
the number of beds reflects the size of a SNF, and as a SNF adds beds,
it also likely adds fixed capital.
For movable equipment, we used available SNF data to capture the
changes in intensity of SNF services that would likely be accompanied
by the purchase of movable equipment. We used the same methodology to
estimate the change in intensity as published in the FY 2008 SNF final
rule for the period from 1962 through 2004. For more details of the
methodology, see the FY 2008 SNF PPS final rule (72 FR 43428). We
propose to use the same methodology to estimate the ratio of ancillary
to routine costs for 2005 through 2010 from the SNF MCR. The time
series of the ratio of ancillary costs to routine costs for SNFs
measures changes in intensity in SNF services, which are assumed to be
associated with movable equipment purchase patterns. The assumption
here is that as ancillary costs increase compared to routine costs, the
SNF caseload becomes more complex and would require more movable
equipment. Again, the lack of movable equipment purchase data for SNFs
over time required us to use alternative SNF data sources. We believe
the resulting two time series, determined from beds and the ratio of
ancillary to routine costs, reflect real capital purchases of building
and fixed equipment and movable equipment over time.
To obtain nominal purchases, which are used to determine the
vintage weights for interest, we converted the two real capital
purchase series from 1963 through 2010 determined above to nominal
capital purchase series using their respective price proxies (the BEA
chained price index for nonresidential construction for hospitals &
special care facilities and the PPI for Machinery and Equipment). We
then combined the two nominal series into one nominal capital purchase
series for 1963 through 2010. Nominal capital purchases are needed for
interest vintage weights to capture the value of debt instruments.
Once we created these capital purchase time series for 1963 through
2010, we averaged different periods to obtain an average capital
purchase pattern over time: (1) For building and fixed equipment, we
averaged 24, 25-year periods; (2) for movable equipment, we averaged
43, 6-year periods; and (3) for interest, we averaged 27, 22-year
periods. We calculate the vintage weight for a given year by dividing
the capital purchase amount in any given year by the total amount of
purchases during the expected useful life of the equipment or debt
instrument. Following publication of the FY 2010 IPPS/Rate Year 2010
LTCH PPS proposed rule, and to provide greater transparency, we posted
on the CMS market basket Web site at https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/MedicareProgramRatesStats/MarketBasketResearch.html, an illustrative
spreadsheet that contains an example of how the vintage-weighted price
indexes are calculated.
Table 12 shows the resulting vintage weights for each of these cost
categories.
Table 12--Vintage Weights for Proposed FY 2010-Based SNF PPS Capital-Related Price Proxies
----------------------------------------------------------------------------------------------------------------
Building and
Year \1\ fixed Movable Interest
equipment equipment
----------------------------------------------------------------------------------------------------------------
1............................................................... .061 .165 .030
2............................................................... .059 .160 .030
3............................................................... .053 .167 .032
4............................................................... .050 .167 .033
5............................................................... .046 .169 .035
6............................................................... .043 .171 .037
7............................................................... .041 .............. .039
8............................................................... .039 .............. .040
9............................................................... .036 .............. .041
10.............................................................. .034 .............. .043
11.............................................................. .034 .............. .045
12.............................................................. .034 .............. .047
13.............................................................. .033 .............. .048
14.............................................................. .032 .............. .048
15.............................................................. .031 .............. .050
16.............................................................. .031 .............. .052
17.............................................................. .032 .............. .055
[[Page 26456]]
18.............................................................. .034 .............. .058
19.............................................................. .035 .............. .060
20.............................................................. .036 .............. .060
21.............................................................. .038 .............. .058
22.............................................................. .039 .............. .058
23.............................................................. .042 .............. ..............
24.............................................................. .043 .............. ..............
25.............................................................. .044 .............. ..............
-----------------------------------------------
Total....................................................... 1.000* 1.000* 1.000*
----------------------------------------------------------------------------------------------------------------
SOURCES: 2010 SNF MCRs; CMS,
NOTE: Totals may not sum to 1.000 due to rounding.
\1\ Year 1 represents the vintage weight applied to the farthest year while the vintage weight for year 25, for
example, would apply to the most recent year.
All Other (residual): We divided the residual ``all
other'' cost category into subcategories, using the BEA's Benchmark
Input-Output Tables for the nursing home industry aged to 2010 using
relative price changes. (The methodology we used to age the data
involves applying the annual price changes from the price proxies to
the appropriate cost categories. We repeat this practice for each year.
We then apply the resulting 2010 distributions to the aggregate 2010
``all other'' cost weight of 21.534 percent to yield the detailed 2010
all other cost weights.)
For the FY 2010-based SNF market basket, we are proposing to
include five new cost categories compared to the FY 2004-based SNF
market basket, as discussed further below. We are also proposing to
revise the labels for the labor-intensive and nonlabor-intensive cost
categories; the new labels would be ``all other: labor-related'', and
``all other: nonlabor-related''. As discussed in more detail below, we
classify a cost category as labor-related and include it in the labor-
related share if the cost category is determined to be labor-intensive
and its cost varies with the local labor market. In previous
regulations, we grouped cost categories that met both of these criteria
into labor-intensive services. We believe the new labels more
accurately reflect the concepts that they are intended to convey. We
are not proposing a change to our definition of the labor-related
share, since we continue to classify a cost category as labor-related
if the costs are labor-intensive and vary with the local labor market.
For nonmedical professional fees, we are proposing to create two
separate cost categories: (1) Nonmedical professional fees: labor-
related, and (2) nonmedical professional fees: Nonlabor-related. We
discuss the distinction between these two categories in more detail
below in the discussion of the labor-related share.
Table 13 compares the proposed FY 2010-based SNF market basket cost
weights with the FY 2004-based SNF market basket cost weights.
Table 13--Comparison of the Proposed FY 2010-Based SNF Market Basket
Cost Weights and the FY 2004-Based SNF Market Basket Cost Weights
------------------------------------------------------------------------
Proposed FY
2010-based SNF FY 2004-based
Cost category market basket SNF market
weights basket weights
------------------------------------------------------------------------
Total................................... 100.000 100.000
Compensation........................ 62.093 62.755
Wages and Salaries.............. 50.573 51.337
Employee Benefits............... 11.520 11.418
Nonmedical Professional Fees \1\.... .............. 1.322
Nonmedical Professional Fees.... .............. 1.322
Utilities........................... 2.223 1.551
Electricity..................... 1.411 0.919
Fuels, Non-highway.............. 0.667 0.453
Water and Sewerage.............. 0.145 0.179
Professional Liability Insurance.... 1.141 1.717
Professional Liability Insurance 1.141 1.717
All Other........................... 27.183 25.448
All Other Products.............. 16.148 19.03
Pharmaceuticals............. 7.872 7.894
Food, Wholesale Purchase.... 3.661 2.906
Food, Retail Purchase....... 1.190 3.151
Chemicals................... 0.166 0.589
Medical Instruments and 0.764 ..............
Supplies \2\...............
Rubber and Plastics......... 0.981 1.513
Paper and Printing Products. 0.838 1.394
Apparel \2\................. 0.195 ..............
Machinery and Equipment \2\. 0.190 ..............
Miscellaneous Products...... 0.291 1.582
[[Page 26457]]
All Other Services.............. 11.035 6.418
Labor-Related Services...... 6.227 ..............
Nonmedical Professional 3.427 ..............
Fees: Labor-related \1\
Administrative and 0.497 ..............
Facilities Support \3\.
All Other: Labor-Related 2.303 3.521
Services \4\...............
NonLabor-Related 4.808 ..............
Services...............
Nonmedical Professional Fees: Nonlabor- 2.042 ..............
related \1\
Financial Services \5\.......... 0.899 ..............
Telephone Services.............. 0.572 0.434
Postage......................... 0.240 0.454
All Other: Nonlabor-related 1.055 2.008
Services \4\...................
Capital-related Expenses............ 7.360 7.207
Total Depreciation.............. 3.180 2.858
Building and Fixed Equipment 2.701 2.437
Movable Equipment........... 0.479 0.421
Total Interest.................. 2.096 3.037
For-Profit SNFs............. 0.869 1.197
Non-profit SNFs............. 1.227 1.84
Other Capital-related Expenses.. 2.084 1.312
Other....................... 2.084 1.312
------------------------------------------------------------------------
\1\ For the FY 2010-based SNF Market basket, we are proposing to divide
this category into nonmedical professional fees: labor-related and
nonmedical professional fees: nonlabor-related.
\2\ For the FY 2010-based SNF Market basket, we are proposing to create
a separate cost category for these expenses to proxy the price growth
by a more specific index. These expenses were previously classified
under miscellaneous products in the FY 2004-based SNF market basket.
\3\ For the FY 2010-based SNF Market basket, we are proposing to create
a separate cost category for these expenses to proxy the price growth
by a more specific index. These expenses were previously classified
under labor intensive services cost weight in the FY 2004-based SNF
market basket.
\4\ For the FY 2010-based SNF market basket, we are proposing to revise
the labels for the labor-intensive and nonlabor-intensive cost
categories to be all other: labor-related and all other: nonlabor-
related.
\5\ For the FY 2010-based SNF market basket, we are proposing to create
a separate cost category for these expenses to proxy the price growth
by a more specific index. These expenses were previously classified
under nonlabor intensive services cost weight in the FY 2004-based SNF
market basket.
3. Price Proxies Used To Measure Cost Category Growth
After developing the 29 cost weights for the proposed FY 2010-based
SNF market basket, we selected the most appropriate wage and price
proxies currently available to represent the rate of change for each
expenditure category. With four exceptions (three for the capital-
related expenses cost categories and one for Professional Liability
Insurance (PLI)), we base the wage and price proxies on Bureau of Labor
Statistics (BLS) data, and group them into one of the following BLS
categories:
Employment Cost Indexes. Employment Cost Indexes (ECIs)
measure the rate of change in employment wage rates and employer costs
for employee benefits per hour worked. These indexes are fixed-weight
indexes and strictly measure the change in wage rates and employee
benefits per hour. ECIs are superior to Average Hourly Earnings (AHE)
as price proxies for input price indexes because they are not affected
by shifts in occupation or industry mix, and because they measure pure
price change and are available by both occupational group and by
industry. The industry ECIs are based on the 2004 North American
Industry Classification System (NAICS).
Producer Price Indexes. Producer Price Indexes (PPIs)
measure price changes for goods sold in other than retail markets. PPIs
are used when the purchases of goods or services are made at the
wholesale level.
Consumer Price Indexes. Consumer Price Indexes (CPIs)
measure change in the prices of final goods and services bought by
consumers. CPIs are only used when the purchases are similar to those
of retail consumers rather than purchases at the wholesale level, or if
no appropriate PPI were available.
We evaluated the price proxies using the criteria of reliability,
timeliness, availability, and relevance. Reliability indicates that the
index is based on valid statistical methods and has low sampling
variability. Widely accepted statistical methods ensure that the data
were collected and aggregated in a way that can be replicated. Low
sampling variability is desirable because it indicates that the sample
reflects the typical members of the population. (Sampling variability
is variation that occurs by chance because only a sample was surveyed
rather than the entire population.) Timeliness implies that the proxy
is published regularly, preferably at least once a quarter. The market
baskets are updated quarterly, and therefore, it is important for the
underlying price proxies to be up-to-date, reflecting the most recent
data available. We believe that using proxies that are published
regularly (at least quarterly, whenever possible) helps to ensure that
we are using the most recent data available to update the market
basket. We strive to use publications that are disseminated frequently,
because we believe that this is an optimal way to stay abreast of the
most current data available. Availability means that the proxy is
publicly available. We prefer that our proxies are publicly available
because this will help ensure that our market basket updates are as
transparent to the public as possible. In addition, this enables the
public to be able to obtain the price proxy data on a regular basis.
Finally, relevance means that the proxy is applicable and
representative of the cost category weight to which it is applied.
[[Page 26458]]
The CPIs, PPIs, and ECIs that we have selected to propose in this
regulation meet these criteria. Therefore, we believe that they
continue to be the best measure of price changes for the cost
categories to which they would be applied.
As discussed above, we propose that if the 2007 Benchmark I-O data
become available between the proposed and final rule with sufficient
time to incorporate such data into the final rule, we would incorporate
these data, as appropriate, into the FY 2010-based SNF market basket
for the final rule. In addition, we propose that to the extent the
incorporation of the 2007 Benchmark I-O data results in a different
composition of costs included in a particular cost category, we would
revise that specific price proxy, as appropriate, to ensure that the
costs included in each detailed cost category are aligned with the most
appropriate price proxy. Table 15 lists all price proxies for the
proposed revised and rebased SNF market basket. Below is a detailed
explanation of the price proxies used for each cost category weight.
Wages and Salaries: We are proposing to use the ECI for
Wages and Salaries for Nursing Care Facilities (Private Industry)
(NAICS 6231; BLS series code CIU2026231000000I) to measure price growth
of this category. The FY 2004-based SNF market basket used a blended
index based on 50 percent of the ECI for wages and salaries for nursing
and residential care facilities (NAICS 623) and 50 percent of the ECI
for wages and salaries for hospital workers (NAICS 622). For the FY
2010-based SNF market basket, we are proposing to use the Nursing Care
Facilities ECI, as we believe this ECI better reflects wage trends
consistent with services provided by Medicare-certified SNFs.
NAICS 623 includes facilities that provide a mix of health and
social services, with many of the health services being largely some
level of nursing services. Within NAICS 623 is NAICS 6231, which
includes nursing care facilities primarily engaged in providing
inpatient nursing and rehabilitative services. These facilities, which
are most comparable to Medicare-certified SNFs, provide skilled nursing
and continuous personal care services for an extended period of time,
and therefore, have a permanent core staff of registered or licensed
practical nurses. At the time of the last rebasing, BLS had just begun
publishing ECI data for the more detailed nursing care facilities
(NAICS 6231), and therefore, IGI, the economic forecasting firm, was
unable to forecast this price proxy.
BLS has now published over six years of historical data for the ECI
for Nursing Care Facilities (NAICS 6231), which allows IGI to create a
forecast for this detailed index. Additionally, in analyzing the
historical trends, we believe this ECI is the most technically
appropriate wage concept to use for the proposed revised and rebased
2010-based SNF market basket as it is most comparable to Medicare-
certified SNFs, which are engaged in providing inpatient nursing and
rehabilitative services.
Employee Benefits: We are proposing to use the ECI for
Benefits for Nursing Care Facilities (NAICS 6231) to measure price
growth of this category. The ECI for Benefits for Nursing Care
Facilities is calculated using BLS's total compensation (BLS series ID
CIU2016231000000I) for nursing care facilities series and the relative
importance of wages and salaries within total compensation. We believe
this ECI and constructed series is technically appropriate for the
reason stated above in the wages and salaries price proxy section. We
used a blended benefits index in the FY 2004-based SNF market basket.
Electricity: We are proposing to use the PPI for
Commercial Electric Power (BLS series code WPU0542) to measure the
price growth of this cost category. We used the same index in the FY
2004-based SNF market basket.
Fuels, nonhighway: We are proposing to use the PPI for
Commercial Natural Gas (BLS series code WPU0552) to measure the price
growth of this cost category. We used the same index in the FY 2004-
based SNF market basket.
Water and Sewerage: We are proposing to use the CPI for
Water and Sewerage Maintenance (All Urban Consumers) (BLS series code
CUUR0000SEHG01) to measure the price growth of this cost category. We
used the same index in the FY 2004-based SNF market basket.
Professional Liability Insurance: We are proposing to use
the CMS Hospital Professional Liability Insurance Index to measure
price growth of this category. In the FY 2008 proposed rule (72 FR
25552), we stated our difficulties associated with pricing malpractice
costs experienced in all healthcare sectors, including hospitals and
physicians. We also stated our intent to research alternative data
sources, such as obtaining the data directly from the individual
states' Departments of Insurance. We were unable to find a reliable
data source that collects SNF-specific PLI data. Therefore, we are
proposing to use the CMS Hospital Professional Liability Index, which
tracks price changes for commercial insurance premiums for a fixed
level of coverage, holding nonprice factors constant (such as a change
in the level of coverage). We used the same index in the FY 2004-based
SNF market basket. We believe this is an appropriate proxy to measure
the price growth associated with SNF professional liability insurance,
as it captures the price inflation associated with other medical
institutions that serve Medicare patients.
Pharmaceuticals: We are proposing to use the PPI for
Pharmaceuticals for Human Use, Prescription (BLS series code
WPUSI07003) to measure the price growth of this cost category. This is
the same proxy that was used in the FY 2004-based SNF market basket,
though BLS has since changed the naming convention of this series.
Food: Wholesale Purchases: We are proposing to use the PPI
for Processed Foods and Feeds (BLS series code WPU02) to measure the
price growth of this cost category. We used the same index in the FY
2004-based SNF market basket.
Food: Retail Purchase: We are proposing to use the CPI for
Food Away From Home (All Urban Consumers) (BLS series code
CUUR0000SEFV) to measure the price growth of this cost category. We
used the same index in the FY 2004-based SNF market basket.
Chemicals: For measuring price change in the Chemicals
cost category, we are proposing to use a blended PPI composed of the
PPIs for Other Basic Organic Chemical Manufacturing (NAICS 325190) (BLS
series code PCU32519-32519), Paint and Coating Manufacturing (NAICS
325510) (BLS series code PCU32551-32551), Soap and Cleaning Compound
Manufacturing (NAICS 325610) (BLS series code PCU32561-32561), and All
Other Chemical Product and Preparation Manufacturing (NAICS 3259A0)
(BLS series code PCU3259-3259).
Using the 2002 Benchmark I-O data, we found that these four NAICS
industries accounted for approximately 95 percent of SNF chemical
expenses. The remaining 5 percent of SNF chemical expenses are for five
other incidental NAICS chemicals industries, such as Alkalies and
Chlorine Manufacturing. We are proposing to create a blended index
based on those four NAICS chemical expenses listed above that account
for 95 percent of SNF chemical expenses. We are proposing to create a
blend based on each NAICS' expenses as a share of their sum. As stated
above, we propose that if the 2007 Benchmark I-O data become available
between the proposed and
[[Page 26459]]
final rule with sufficient time to incorporate such data into the final
rule, we would incorporate these data, as appropriate, into the FY
2010-based SNF market basket for the final rule. In addition, we
propose that to the extent the incorporation of the 2007 Benchmark I-O
data results in a different composition of chemical costs, we may
revise, as appropriate, the blended chemical index set forth above to
reflect these more recent data on SNF chemical purchases, to better
align the costs with its price proxy. Table 14 below provides the
weights for the blended chemical index.
Table 14--Proposed Chemical Blended Index Weights
------------------------------------------------------------------------
Weights
NAICS Industry description (percent)
------------------------------------------------------------------------
325190......................... Other basic organic 7
chemical manufacturing.
325510......................... Paint and coating 12
manufacturing.
325610......................... Soap and cleaning 49
compound manufacturing.
3259A0......................... All other chemical 32
product and
preparation
manufacturing.
....................... 100
------------------------------------------------------------------------
The FY 2004-based SNF market basket also used a blended chemical proxy
that was based on 1997 Benchmark I-O data. We believe our proposed
chemical blended index for the FY 2010-based SNF market basket is
technically appropriate, as it reflects more recent data on SNFs'
purchasing patterns.
Medical Instruments and Supplies: We are proposing to use
the PPI for Medical, Surgical, and Personal Aid Devices (BLS series
code WPU156) to measure the price growth of this cost category. The FY
2004-based SNF market basket did not include a separate cost category
for these expenses. Rather, these expenses were classified in the
miscellaneous products cost category and proxied by the PPI for
Finished Goods less Food and Energy (BLS series code WPUSOP3500). As
stated above, we are proposing to break-out this cost category to proxy
these expenses by a more specific price index that better reflects the
price growth of medical instruments and supplies.
Rubber and Plastics: We are proposing to use the PPI for
Rubber and Plastic Products (BLS series code WPU07) to measure price
growth of this cost category. We used the same index in the FY 2004-
based SNF market basket.
Paper and Printing Products: We are proposing to use the
PPI for Converted Paper and Paperboard Products (BLS series code
WPU0915) to measure the price growth of this cost category. We used the
same index in the FY 2004-based SNF market basket.
Apparel: We are proposing to use the PPI for Apparel (BLS
series code WPU0381) to measure the price growth of this cost category.
The FY 2004-based SNF market basket did not have a separate cost
category for these expenses. Rather, these expenses were classified in
the miscellaneous products cost category and proxied by the PPI for
Finished Goods less Food and Energy. As stated above, we are proposing
to break-out this cost category to proxy these expenses by a more
specific price index that better reflects the price growth of apparel
products.
Machinery and Equipment: We are proposing to use the PPI
for Machinery and Equipment (BLS series code WPU11) to measure the
price growth of this cost category. The 2004-based index did not have a
separate cost category for these expenses. Rather, these expenses were
classified in the miscellaneous products cost category and proxied by
the PPI for Finished Goods less Food and Energy (BLS series code
WPUSOP3500). As stated above, we are proposing to break-out this cost
category to proxy these expenses by a more specific price index that
reflects the price growth of machinery and equipment.
Miscellaneous Products: For measuring price change in the
Miscellaneous Products cost category, we are proposing to use the PPI
for Finished Goods less Food and Energy (BLS series code WPUSOP3500).
Both food and energy are already adequately represented in separate
cost categories and should not also be reflected in this cost category.
We used the same index in the FY 2004-based SNF market basket.
Nonmedical Professional Fees: Labor-Related and Nonmedical
Professional Fees: Nonlabor-Related: We are proposing to use the ECI
for Total Compensation for Professional and Related Occupations
(Private Industry) (BLS series code CIU2010000120000I) to measure the
price growth of these categories. As described in more detail below,
for this revising and rebasing of the SNF market basket we are
proposing to divide the nonmedical professional fees cost category into
two separate cost categories: (1) Nonmedical professional fees: labor-
related; and (2) nonmedical professional fees: Nonlabor-related. By
separating these two categories we are able to identify more precisely
which categories are to be included in the labor-related share, which
is used in applying the SNF PPS geographic adjustment factor. We are
proposing to proxy both of these cost categories by the ECI for Total
Compensation for Professional and Related Occupations (Private
Industry). This is the same proxy that was used in the FY 2004-based
SNF market basket.
Administrative and Facilities Support Services: We are
proposing to use the ECI for Total Compensation for Office and
Administrative Support Services (Private Industry) (BLS series code
CIU2010000220000I) to measure the price growth of this category. The FY
2004-based SNF market basket did not have a separate cost category for
these expenses. Rather, these expenses were classified under labor
intensive services and proxied by the ECI for Compensation for Service
Occupations (Private Industry). As stated above, we are proposing to
create a separate cost category for these expenses to reflect the
specific price changes associated with these services.
All Other: Labor-Related Services: We are proposing to use
the ECI for Total Compensation for Service Occupations (Private
Industry) (BLS series code CIU2010000300000I) to measure the price
growth of this cost category (previously referred to as the labor-
intensive cost category in the FY 2004-based SNF market basket index).
We used the same index in the FY 2004-based SNF market basket. As
explained above, for this revising and rebasing of the SNF market
basket, we are proposing to revise our label for the labor-intensive
services to the all other: labor-related services.
Financial Services: We are proposing to use the ECI for
Total Compensation for Financial Activities
[[Page 26460]]
(Private Industry) (BLS series code CIU201520A000000I) to measure the
price growth of this cost category. The FY 2004-based SNF market basket
did not have a separate cost category for these expenses. Rather, these
expenses were classified under nonlabor intensive services cost
category and proxied by the CPI for All Items (Urban). As stated above,
we are proposing to create a separate cost category for these expenses
to reflect the specific price changes associated with these services.
Telephone Services: We are proposing to use the CPI for
Telephone Services (Urban) (BLS series code CUUR0000SEED) to measure
the price growth of this cost category. We used the same index in the
FY 2004-based SNF market basket.
Postage: We are proposing to use the CPI for Postage and
Delivery Services (Urban) (BLS series code CUUR0000SEEC) to measure the
price growth of this cost category. We used the same index in the FY
2004-based SNF market basket.
All Other: NonLabor-Related Services: We are proposing to
use the CPI for All Items Less Food and Energy (BLS series code
CUUR0000SA0L1E) to measure the price growth of this cost category
(previously referred to as the nonlabor-intensive cost category in the
FY 2004-based SNF market basket index). Previously these costs were
proxied by the CPI for All Items (Urban). We believe that using the CPI
for All Items Less Food and Energy (BLS series code CUUR0000SA0L1E)
will remove any double-counting of food and energy prices, which are
already captured elsewhere in the market basket. Consequently, we
believe that the incorporation of this proxy represents a technical
improvement to the market basket.
Capital-Related Expenses: For the capital price proxies
(with the exception of the price proxy for the other capital-related
cost category weight), we calculate vintage weighted price proxies. The
methodology used to derive the vintage weights was described above.
Below, we describe the price proxies for the SNF capital-related
expenses:
Depreciation--Building and Fixed Equipment: For measuring
price change in this cost category, we are proposing to use BEA's
chained price index for nonresidential construction for hospital and
special care facilities. This is a publicly available price index used
by BEA to deflate current-dollar private fixed investment for hospitals
and special care facilities. The 2004-based index used the Boeckh
Institutional Construction Index, which is not publicly available. We
compared the BEA index with the Boeckh Institutional Construction Index
and found that the average growth rates in the two series were similar
over the historical time period. We are proposing to use the BEA price
index in the FY 2010-based SNF market basket as this index is a
publicly available index that reflects the price inflation associated
with nonresidential construction, such as the construction of hospitals
and special care facilities. As stated above, we prefer that our
proxies are publicly available because this will help ensure that our
market basket updates are as transparent to the public as possible.
Depreciation--Movable Equipment: For measuring price
change in this cost category, we are proposing to use the PPI for
Machinery and Equipment (BLS series code WPU11). The same price proxy
was used in the FY 2004-based SNF market basket index.
Interest--Government and Nonprofit SNFs: For measuring
price change in this cost category, we are proposing to use the Average
Yield for Municipal Bonds from the Bond Buyer Index of 20 bonds. CMS
input price indexes, including this proposed rebased and revised SNF
market basket, appropriately reflect the rate of change in the price
proxy and not the level of the price proxy. While SNFs may face
different interest rate levels than those included in the Bond Buyer
Index, the rate of change between the two is not significantly
different. The same price proxy was used in the FY 2004-based SNF
market basket index.
Interest--For-profit SNFs: For measuring price change in
this cost category, we are proposing to use the Average Yield for
Moody's AAA Corporate Bonds. Again, the proposed revised and rebased
SNF market basket index focuses on the rate of change in this interest
rate, not on the level of the interest rate. The same price proxy was
used in the FY 2004-based SNF market basket index.
Other Capital-related Expenses: For measuring price change
in this cost category, we are proposing the CPI-U for Rent of Primary
Residence (BLS series ID CUUR0000SEHA). The same price proxy was used
in the FY2004-based SNF market basket index, though the naming
convention is slightly different as we have provided the full BLS
naming convention.
Table 15 shows the proposed price proxies for the FY 2010-based SNF
Market Basket.
Table 15--Proposed Price Proxies for the FY 2010-Based SNF Market Basket
------------------------------------------------------------------------
Cost category Weight Proposed price proxy
------------------------------------------------------------------------
Compensation................... 62.093 .......................
Wages and Salaries......... 50.573 ECI for Wages and
Salaries for Nursing
Care Facilities.
Employee Benefits.......... 11.520 ECI for Benefits for
Nursing Care
Facilities.
Utilities...................... 2.223 .......................
Electricity................ 1.411 PPI for Commercial
Electric Power.
Fuels, Nonhighway.......... 0.667 PPI for Commercial
Natural Gas.
Water and Sewerage......... 0.145 CPI-U for Water and
Sewerage Maintenance.
Professional Liability 1.141 CMS Hospital
Insurance. Professional Liability
Insurance Index.
All Other...................... 27.183 .......................
Other Products............. 16.148 .......................
Pharmaceuticals........ 7.872 PPI for Pharmaceuticals
for Human Use,
Prescription.
Food, Wholesale 3.661 PPI for Processed Foods
Purchase. and Feeds.
Food, Retail Purchases. 1.190 CPI-U for Food Away
From Home.
Chemicals.............. 0.166 Blend of Chemical PPIs.
Medical Instruments and 0.764 PPI for Medical,
Supplies. Surgical, and Personal
Aid Devices.
Rubber and Plastics.... 0.981 PPI for Rubber and
Plastic Products.
Paper and Printing 0.838 PPI for Converted Paper
Products. and Paperboard
Products.
Apparel................ 0.195 PPI for Apparel.
Machinery and Equipment 0.190 PPI for Machinery and
Equipment.
Miscellaneous Products. 0.291 PPI for Finished Goods
Less Food and Energy.
All Other Services......... 11.035 .......................
[[Page 26461]]
Labor-Related Services. 6.227 .......................
Nonmedical 3.427 ECI for Total
Professional Fees: Compensation for
Labor-related. Professional and
Related Occupations.
Administrative and 0.497 ECI for Total
Facilities Support. Compensation for
Office and
Administrative
Support.
All Other: Labor- 2.303 ECI for Total
Related Services. Compensation for
Service Occupations.
Non Labor-Related 4.808 .......................
Services.
Nonmedical 2.042 ECI for Total
Professional Fees: Compensation for
Non Labor-Related. Professional and
Related Occupations.
Financial Services. 0.899 ECI for Total
Compensation for
Financial Activities.
Telephone Services. 0.572 CPI-U for Telephone
Services.
Postage............ 0.240 CPI-U for Postage and
Delivery Services.
All Other: Nonlabor- 1.055 CPI-U for All Items
Related Services. Less Food and Energy.
Capital-Related Expenses....... 7.360 .......................
Total Depreciation......... 3.180 .......................
Building and Fixed 2.701 BEA chained price index
Equipment. for nonresidential
construction for
hospitals and special
care facilities--
vintage weighted (25
years).
Movable Equipment...... 0.479 PPI for Machinery and
Equipment--vintage
weighted (6 years).
Total Interest............. 2.096 .......................
For-Profit SNFs........ 0.869 Average yield on
municipal bonds (Bond
Buyer Index 20 bonds)--
vintage weighted (22
years).
Government and 1.227 Average yield on
Nonprofit SNFs. Moody's AAA corporate
bonds--vintage
weighted (22 years).
Other Capital-Related 2.084 CPI-U for Rent of
Expenses. Primary Residence.
----------------
Total.......................... 100.000 .......................
------------------------------------------------------------------------
4. Proposed Market Basket Estimate for the FY 2014 SNF PPS Update
As discussed previously in this proposed rule, beginning with the
FY 2014 SNF PPS update, we are proposing to adopt the FY 2010-based SNF
market basket as the appropriate market basket of goods and services
for the SNF PPS.
Based on IGI's first quarter 2013 forecast with history through the
fourth quarter of 2012, the most recent estimate of the proposed FY
2010-based SNF market basket for FY 2014 is 2.3 percent. IGI is a
nationally recognized economic and financial forecasting firm that
contracts with CMS to forecast the components of CMS' market baskets.
Based on IGI's first quarter 2013 forecast with history through the
fourth quarter of 2012, the estimate of the current FY 2004-based SNF
market basket for FY 2014 is 2.5 percent.
Table 16 compares the proposed FY 2010-based SNF market basket and
the FY 2004-based SNF market basket percent changes. For the historical
period between FY 2008 and FY 2012, the average difference between the
two market baskets is -0.3 percentage point. This is primarily the
result of lower compensation price increases in the FY 2010-based
market basket compared to the FY 2004-based SNF market basket. For the
forecasted period between FY 2013 and FY 2015, the difference in the
market basket forecasts is similar.
Table 16--Proposed FY 2010-Based SNF Market Basket and FY 2004-Based SNF
Market Basket, Percent Changes: 2008-2015
------------------------------------------------------------------------
Proposed rebased
Fiscal year (FY) FY 2010-based SNF FY 2004-based SNF
market basket basket
------------------------------------------------------------------------
Historical data:
FY 2008....................... 3.5 3.6
FY 2009....................... 2.4 2.8
FY 2010....................... 1.8 2.0
FY 2011....................... 2.0 2.2
FY 2012....................... 1.8 2.2
Average FY 2008-2012...... 2.3 2.6
Forecast:
FY 2013....................... 1.9 2.3
FY 2014....................... 2.3 2.5
FY 2015....................... 2.4 2.6
Average FY 2013-2015...... 2.2 2.5
------------------------------------------------------------------------
Source: IHS Global Insight, Inc. 1st quarter 2013 forecast with
historical data through 4th quarter 2012.
[[Page 26462]]
5. Labor-Related Share
We define the labor-related share (LRS) as those expenses that are
labor-intensive and vary with, or are influenced by, the local labor
market. Each year, we calculate a revised labor-related share based on
the relative importance of labor-related cost categories in the input
price index. In this FY 2014 SNF PPS proposed rule, we are proposing to
revise the labor-related share to reflect the relative importance of
the following proposed FY 2010-based SNF market basket cost weights
that we believe are labor-intensive and vary with, or are influenced
by, the local labor market: (1) Wages and salaries; (2) employee
benefits; (3) contract labor; (4) the labor-related portion of
nonmedical professional fees; (5) administrative and facilities support
services; (6) all other: labor-related services (previously referred to
in the FY 2004-based SNF market basket as labor-intensive); and (7) a
proportion of capital-related expenses. We are proposing to continue to
include a proportion of capital-related expenses because a portion of
these expenses are deemed to be labor-intensive and vary with, or are
influenced by, the local labor market. For example, a proportion of
construction costs for a medical building would be attributable to
local construction workers' compensation expenses.
Consistent with previous SNF market basket revisions and rebasings,
the ``all other: labor-related services'' cost category is mostly
comprised of building maintenance and security services (including, but
not limited to, commercial and industrial machinery and equipment
repair, nonresidential maintenance and repair, and investigation and
security services). Because these services tend to be labor-intensive
and are mostly performed at the SNF facility (and therefore, unlikely
to be purchased in the national market), we believe that they meet our
definition of labor-related services.
For the proposed FY 2010-based SNF market basket, the proposed
inclusion of the administrative and facilities support services cost
category into the labor-related share remains consistent with the
current labor-related share, since this cost category was previously
included in the FY 2004-based SNF market basket labor-intensive cost
category. As previously stated, we are proposing to establish a
separate administrative and facilities support services cost category
so that we can use the ECI for Total Compensation for Office and
Administrative Support Services to reflect the specific price changes
associated with these services.
For the FY 2004-based SNF market basket, we assumed that all
nonmedical professional services (including accounting and auditing
services, engineering services, legal services, and management and
consulting services) were purchased in the local labor market and,
thus, all of their associated fees varied with the local labor market.
As a result, we previously included 100 percent of these costs in the
labor-related share. In an effort to determine more accurately the
share of nonmedical professional fees that should be included in the
labor-related share, we surveyed SNFs regarding the proportion of those
fees that are attributable to local firms and the proportion that are
purchased from national firms. We notified the public of our intent to
conduct this survey on December 9, 2005 (70 FR 73250) and received no
comments (71 FR 8588).
With approval from OMB, we reached out to the industry and received
responses to our survey from 141 SNFs. Using data on full-time
equivalents to allocate responding SNFs across strata (region of the
country and urban/rural status), post-stratification weights were
calculated. Based on these weighted results, we determined that SNFs
purchase, on average, the following portions of contracted professional
services inside their local labor market:
86 percent of accounting and auditing services.
89 percent of architectural, engineering services.
78 percent of legal services.
87 percent of management consulting services.
Together, these four categories represent 2.672 percentage points
of the total costs for the proposed FY 2010-based SNF market basket. We
applied the percentages from this special survey to their respective
SNF market basket weights to separate them into labor-related and
nonlabor-related costs. As a result, we are designating 2.285 of the
2.672 total to the labor-related share, with the remaining 0.387
categorized as nonlabor-related.
In addition to the professional services listed above, we also
classified expenses under NAICS 55, Management of Companies and
Enterprises, into the nonmedical professional fees cost category. The
NAICS 55 data are mostly comprised of corporate, subsidiary, and
regional managing offices, or otherwise referred to as home offices.
Formerly, all of the expenses within this category were considered to
vary with, or be influenced by, the local labor market, and thus, were
included in the labor-related share. Because many SNFs are not located
in the same geographic area as their home office, we analyzed data from
a variety of sources to determine what proportion of these costs should
be appropriately included in the labor-related share.
Our proposed methodology is based on data from the MCRs, as well as
a CMS database of Home Office Medicare Records (HOMER) (a database that
provides city and state information (addresses) for home offices). The
MCR requires SNFs to report their home office compensation costs. Using
the HOMER database to determine the home office location for each home
office provider number, we compared the location of the SNF with the
location of the SNF's home office. We propose to determine the
proportion of NAICS 55 costs that should be allocated to the labor-
related share based on the percent of SNF home office compensation
attributable to SNFs that had home offices located in their respective
local labor markets--defined as being in the same MSA. We determined a
SNF's MSA using its Zip Code information from the MCR, while a home
office MSA was determined using the Medicare HOMER Database, which
provided a home office Zip Code, as well.
As stated above, we are proposing to determine the proportion of
NAICS 55 costs that should be allocated to the labor-related share
based on the percent of SNF home office compensation attributable to
those SNFs that had home offices located in their respective labor
markets. Using this proposed methodology, we determined that 32 percent
of SNF home office compensation costs were for SNFs that had home
offices located in their respective local labor markets; therefore, we
propose to allocate 32 percent of NAICS 55 expenses to the labor-
related share. We believe that this methodology provides a reasonable
estimate of the NAICS 55 expenses that are appropriately allocated to
the labor-related share, because we primarily rely on data on home
office compensation costs as provided by SNFs on Medicare cost reports.
By combining these data with the specific MSAs for the SNF and their
associated home office, we believe we have a reasonable estimate of the
proportion of SNF's home office costs that would be incurred in the
local labor market.
In the proposed FY 2010-based SNF market basket, NAICS 55 expenses
that were subject to allocation based on the home office allocation
methodology represent 1.833 percent of the total costs. Based on the
home office results, we are apportioning 0.587 percentage
[[Page 26463]]
point of the 1.833 percentage points figure into the labor-related
share and designating the remaining 1.247 percentage points as
nonlabor-related.
The Benchmark I-O data contains other smaller cost categories that
we allocate fully to either ``nonmedical professional fees: Labor-
related'' or ``nonmedical professional fees: nonlabor-related.''
Together, the sum of these smaller cost categories, the four nonmedical
professional fees cost categories where survey results were available,
and the NAICS 55 expenses represent all nonmedical professional fees,
or 5.469 percent of total costs in the SNF market basket. Of the 5.469
percentage points, 3.427 percentage points represent professional fees:
Labor-related while 2.042 percentage points represent nonmedical
professional fees: Nonlabor-related.
Each year, we calculate a revised labor-related share based on the
relative importance of labor-related cost categories in the SNF market
basket. Table 17 summarizes the proposed updated labor-related share
for FY 2014, which is based on the proposed rebased and revised FY
2010-based SNF market basket, compared to the labor-related share that
was used for the FY 2013 SNF PPS update.
Table 17--Labor-Related Relative Importance, FY 2013 and FY 2014
------------------------------------------------------------------------
Relative Relative
importance, labor- importance, labor-
related, FY 2013 related, FY 2014
(FY 2004-based (FY 2010-based
index) 12:2 index) 13:1
forecast forecast
------------------------------------------------------------------------
Wages and salaries\1\............. 49.847 49.204
Employee benefits................. 11.532 11.546
Nonmedical Professional fees: 1.307 3.451
labor-related....................
Administrative and facilities N/A 0.501
support services.................
All Other: Labor-related 3.364 2.292
services\2\......................
Capital-related (.391)............ 2.333 2.770
-------------------------------------
Total......................... 68.383 69.764
------------------------------------------------------------------------
\1\ As discussed above in section V.A.2 in this preamble, the wages and
salaries and employee benefits cost weight reflect contract labor
costs.
\2\ Previously referred to as labor-intensive services cost category in
the FY 2004 -based SNF market basket.
B. Monitoring Impact of FY 2012 Policy Changes
In the FY 2012 SNF PPS final rule, we stated we would monitor the
impact of certain FY 2012 policy changes on various aspects of the SNF
PPS (76 FR 48498). Specifically, we have been monitoring the impact of
the following FY 2012 policy changes:
Recalibration of the FY 2011 SNF parity adjustment to
align overall payments under RUG-IV with those under RUG-III.
Allocation of group therapy time to pay more appropriately
for group therapy services based on resource utilization and cost.
Implementation of changes to the MDS 3.0 patient
assessment instrument, most notably the introduction of the Change-of-
Therapy (COT) Other Medicare Required Assessment (OMRA).
We have posted quarterly memos to the SNF PPS Web site which
highlight some of the trends we have observed over a given time period.
These memos may be accessed through the SNF PPS Web site at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/Downloads/SNF_Monitoring.zip. Below, we provide a summary of the results derived
from this monitoring effort.
1. RUG Distributions
As stated in the FY 2012 SNF PPS final rule (76 FR 48493), the
recalibration of the FY 2011 parity adjustment used 8 months of FY 2011
data as the basis for the recalibration. We observed that case-mix
utilization patterns continued to be consistent over the final 4 months
of FY 2011 and would not have resulted in a significant difference in
the calculated amount of the recalibrated parity adjustment. We have
posted data illustrating the RUG-IV distribution of days for the
entirety of FY 2011, as compared to the days distribution used to
calculate the parity adjustment in the FY 2012 final rule, and the
distribution of days for FY 2012, all of which may be found at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/Downloads/SNF_Monitoring.zip.
Additionally, case-mix utilization observed during FY 2012 has not
shown unanticipated changes in patient classification. Overall patient
case mix is not significantly different from that observed in FY 2011.
Table 18 illustrates a breakdown of the SNF case-mix distribution of
service days by the major RUG classification categories for FY 2011 and
FY 2012.
Table 18--SNF Case-Mix Distributions by Major RUG-IV Category
------------------------------------------------------------------------
FY 2011 (percent) FY 2012 (percent)
------------------------------------------------------------------------
Rehabilitation Plus Extensive 2.5 1.8
Services.........................
Rehabilitation.................... 87.9 88.8
Extensive Services................ 0.6 0.7
Special Care...................... 4.6 4.9
Clinically Complex................ 2.5 2.2
Behavioral Symptoms and Cognitive 0.4 0.3
Performance......................
Reduced Physical Function......... 1.5 1.4
------------------------------------------------------------------------
[[Page 26464]]
As illustrated in Table 18, there has been a decrease in the
Rehabilitation Plus Extensive Services category and increases in some
of the medically-based RUG categories, specifically Special Care and
Extensive Services.
It should be noted that the recalibration of the parity adjustment
applied only to those RUG-IV groups with a therapy component
(Rehabilitation Plus Extensive Services and Rehabilitation). This
caused a shift in the hierarchy of nursing case-mix weights among the
various RUG-IV groups. Since SNFs are permitted to ``index maximize''
when determining a resident's RUG classification (that is, of those
RUGs for which the resident qualifies, SNFs are permitted to choose the
one with the highest per diem payment), it is possible that the
aforementioned case-mix distribution shifts reflect residents that had
previously been classified into therapy groups but now index maximize
into nursing groups instead.
Looking specifically at the case-mix distribution for
Rehabilitation RUGs only, the data show an increase in the percentage
of service days at the highest therapy level (Ultra High
Rehabilitation) in FY 2012. This is illustrated in Table 19.
Table 19--SNF Case-Mix Distribution for Therapy RUG-IV Groups, by Minor
RUG-IV Therapy Categories
------------------------------------------------------------------------
FY 2011 (percent) FY 2012 (percent)
------------------------------------------------------------------------
Ultra-High Rehabilitation (>= 720 44.8 48.6
minutes of therapy per week).....
Very-High Rehabilitation (500-719 26.9 25.6
minutes of therapy per week).....
High Rehabilitation (325-499 10.8 10.1
minutes of therapy per week).....
Medium Rehabilitation (150-324 7.6 6.2
minutes of therapy per week).....
Low Rehabilitation (45-149 minutes 0.1 0.1
of therapy per week).............
------------------------------------------------------------------------
Although the decreases in the percentage of service days which
classify into the Very-High, High, and Medium Rehabilitation RUG-IV
therapy categories may be explained by the increased utilization of the
Ultra-High Rehabilitation RUG-IV therapy category, some of the decrease
may be due to index maximization into the Special Care RUG-IV category.
2. Group Therapy Allocation
To account more accurately for resource utilization and cost and to
equalize the payment incentives across therapy modes, we allocated
group therapy time beginning in FY 2012. We anticipated that this
policy would result in some change to the type of therapy mode (that
is, individual, concurrent, or group) used for SNF residents. As noted
in the section above, we have not observed any significant difference
in patient case mix. However, as illustrated in Table 20, providers
have significantly changed the mode of therapy since our STRIVE study
(2006-2007).
Table 20--Mode of Therapy Provision
----------------------------------------------------------------------------------------------------------------
FY 2011 FY 2012
STRIVE (percent) (percent) (percent)
----------------------------------------------------------------------------------------------------------------
Individual............................................. 74 91.8 99.5
Concurrent............................................. 25 0.8 0.4
Group.................................................. <1 7.4 0.1
----------------------------------------------------------------------------------------------------------------
In the FY 2010 final rule (74 FR 40288, 40315-40319), we
established a policy that, beginning in FY 2011, we would allocate
concurrent therapy without the allocation of group therapy and, as a
result, providers shifted from concurrent therapy to group therapy. In
the FY 2012 SNF PPS final rule (76 FR 48486, 48511-48517), we
established a policy that would allocate group therapy, and data from
FY 2012 indicate that facilities are providing individual therapy
almost exclusively.
3. MDS 3.0 Changes
In the FY 2012 SNF PPS final rule, we introduced a new assessment
called the COT OMRA to capture more accurately the therapy services
provided to SNF residents. Effective for services provided on or after
October 1, 2011, SNFs are required to complete a COT OMRA for patients
classified into a RUG-IV therapy category (and for patients receiving
therapy services who are classified into a nursing RUG because of index
maximization), whenever the intensity of therapy changes to such a
degree that it would no longer reflect the RUG-IV classification and
payment assigned for the patient based on the most recent assessment
used for Medicare payment (76 FR 48525). An evaluation of the necessity
for a COT OMRA must be completed at the end of each COT observation
period, which is a successive 7-day window beginning on the day
following the ARD set for the most recent scheduled or unscheduled PPS
assessment (or beginning the day therapy resumes in cases where an EOT-
R OMRA is completed), and ending every seven calendar days thereafter.
In cases where the resident's therapy has changed to such a degree that
it is no longer consistent with the resident's current RUG-IV
classification, then the SNF must complete a COT OMRA to reclassify the
resident into the appropriate RUG-IV category. The new RUG-IV group
resulting from the COT OMRA is billed starting the first day of the 7-
day COT observation period for which the COT OMRA was completed and
remains at this level until a new assessment is done that changes the
patient's RUG-IV classification. Table 21 shows the distribution of all
MDS assessment types as a percentage of all MDS assessments.
[[Page 26465]]
Table 21--Distribution of MDS Assessment Types
------------------------------------------------------------------------
FY 2011 FY 2012
(percent) (percent)
------------------------------------------------------------------------
Scheduled PPS assessment........................ 95 84
Start-of-Therapy (SOT) OMRA..................... 2 2
End-of-Therapy (EOT) OMRA (w/o Resumption)...... 3 3
Combined SOT/EOT OMRA........................... 0 0
End-of-Therapy OMRA (w/Resumption) (EOT-R OMRA). N/A 0
Combined SOT/EOT-R OMRA......................... N/A 0
Change-of-Therapy (COT) OMRA.................... N/A 11
------------------------------------------------------------------------
Prior to the implementation of the COT OMRA, scheduled PPS
assessments comprised the vast majority of completed assessments. With
the implementation of the COT OMRA for FY 2012, scheduled PPS
assessments still comprise the vast majority of completed MDS
assessments, though the COT OMRA is the most frequently completed OMRA.
4. Conclusion
Information related to our monitoring activities is posted on the
SNF PPS Web site at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/Downloads/SNF_Monitoring.zip. Based on the data
reviewed thus far, we have found no evidence of the possible negative
impacts on SNF providers cited in comments in the FY 2012 final rule
(see 76 FR 48497-98, 48537), particularly references to a potential
``double hit'' from the combined impact of the recalibration of the FY
2011 SNF parity adjustment and the FY 2012 policy changes (for example,
allocation of group therapy time and introduction of the COT OMRA). As
noted in the data provided in this section, overall case mix has not
been affected significantly, which suggests that the aforementioned
changes, while ensuring more accurate payment, have been absorbed into
facility practices in such a manner that facilities continue to
maintain historical trends in terms of patient case mix. Therefore,
while we will continue our SNF monitoring efforts, we will post
information to the aforementioned Web site only as appropriate.
C. Ensuring Accuracy in Grouping to Rehabilitation RUG-IV Categories
As noted in section III.C of this proposed rule, under section
1888(e)(4)(G)(i) of the Act, the federal rate incorporates an
adjustment to account for facility case mix, using a classification
system that accounts for the relative resource utilization of different
patient types. As part of the Nursing Home Case-Mix and Quality
demonstration project, Version III of the Resource Utilization Groups
(RUG-III) case-mix classification system was developed to capture
resource use of nursing home patients and to provide an improved method
of tracking the quality of their care. In 1998, the first version of
RUG-III was a 44-group model for classifying SNF patients into
homogeneous groups according to their clinical characteristics and the
amount and type of resources they use as measured by the Resident
Assessment Instrument, the Minimum Data Set (MDS). A detailed
description of the RUG-III groups appears in the interim final rule
with comment period from May 12, 1998 (63 FR 26262-26263). The RUG-III
groups were the basis for the case mix indexes used to establish
equitable prospective payment levels for patients with different
service use.
In FY 2006, the RUG-III classification system was refined to
include 53 groups for case-mix classification that continued to be
based on patient data collected on the MDS 2.0. This reflected the
addition of 9 new RUG groups comprising a new Extensive Services plus
Rehabilitation payment category, to account for the higher cost of
beneficiaries requiring both rehabilitation and certain high-intensity
medical services. A detailed explanation of the RUG-III refinement
appears in the FY 2006 proposed rule (70 FR 29076-29079, May 19, 2005).
In FY 2011, the RUG-IV classification system was implemented and
included 66 groups for case-mix classification based on patient data
collected on the newest version of the Resident Assessment Instrument,
MDS 3.0. A detailed explanation of the RUG-IV model appears in the FY
2010 proposed rule (74 FR 22220-22238, May 12, 2009).
In the May 12, 1998 interim final rule with comment period (63 FR
26252, 26256), we explained how the RUG-III system was used to place
SNF patients into one of 44 patient groups or subcategories used for
payment. The RUG category of Medium Rehabilitation (Medium Rehab) was
explained in conjunction with the RUG categories of High and Very High
Rehabilitation. Among other requirements specific to each category,
``all three require at least 5 days per week of skilled rehabilitative
therapy, but they are split according to weekly treatment time'' (63 FR
26258). To qualify for Medium Rehab, a patient also needs to receive at
least 150 minutes of therapy of any combination of the three
rehabilitation disciplines: physical therapy, occupational therapy, and
speech therapy.
Subsequently, across all iterations of the SNF PPS (including the
RUG refinement in FY 2006 and the transition from RUG-III to RUG-IV in
FY 2011), the criteria for classification into the Medium Rehab
category remained the same. As set forth in the FY 2010 final rule (74
FR 40389), to be classified into the Medium Rehab category under RUG
III or RUG IV, the resident must receive ``5 days any combination of 3
rehabilitation disciplines.'' In order for the SNF resident to qualify
for the Medium Rehab or Medium Rehab plus Extensive Services category,
he or she must receive five distinct calendar days of therapy within a
7-day time period (and at least 150 minutes of therapy across that time
as well). This reflects the SNF level of care requirement under Sec.
409.31(b)(1) that skilled services must be needed and received on a
daily basis, and the provision at Sec. 409.34(a)(2) which specifies
that the ``daily basis'' criterion can be met by skilled rehabilitation
services that are needed and provided at least 5 days per week.
Further, the payment rates for these RUG groups were based on staff
time over the requisite number of distinct therapy days. For example,
the policy would be implemented correctly if a patient received a total
of 150 minutes of therapy in the form of physical therapy on Monday and
Wednesday, occupational therapy on Sunday and Tuesday, and speech
therapy on Friday. In this example, therapy services are being provided
over a separate and distinct 5-day period (Sunday, Monday, Tuesday,
Wednesday, and Friday). Similarly, 5 distinct calendar days of
[[Page 26466]]
therapy are required to classify into the High, Very High, and Ultra
High Rehabilitation categories. The amount of therapy provided over the
7-day look-back period is currently recorded on the MDS 3.0 in section
O, item O0400A, O0400B, and O0400C.
Medium Rehab and Medium Rehab Plus Extensive Services qualifiers
remained the same under the SNF PPS from 1998 until the present;
however, the MDS did not contain the appropriate items to permit
providers to report the number of distinct calendar days of therapy
that a particular resident receives during a given week, inadvertently
allowing residents who do not meet the Medium Rehab and Medium Rehab
Plus Extensive Services qualifiers (under the intended policy as
discussed above) to classify inappropriately into those RUG categories.
For example, a resident receives 150 minutes of therapy in the form of
physical therapy and occupational therapy on Monday (one session of
physical therapy and one session of occupational therapy) and Wednesday
(one session of physical therapy and one session of occupational
therapy) and speech therapy on Friday. The intent of the Medium Rehab
classification criteria is for such a resident not to classify into the
Medium Rehab RUG category, since he or she only received therapy on 3
days (Monday, Wednesday, and Friday) during the 7-day look-back period
for this PPS assessment. However, the MDS item set only requires the
SNF to record the number of days therapy was received by each therapy
discipline during that 7-day look-back period, without distinguishing
between distinct calendar days. Thus, in the example above, the SNF
would record on the MDS: 2 days of physical therapy, 2 days of
occupational therapy, and 1 day of speech therapy. Currently, the RUG
grouper adds these days together, allowing the resident described above
to be classified into the Medium Rehab category even though the
resident did not actually receive 5 distinct calendar days of therapy
as required by the criteria. This resident would not meet the
classification criteria for the Medium Rehab category as they were
intended to be applied.
In rare instances, the same issue can occur with the Low
Rehabilitation (Low Rehab) and Low Rehab Plus Extensive Services
categories, which require rehabilitation services for at least 45
minutes a week with three days of any combination of the three
rehabilitation disciplines (and restorative nursing 6 days per week).
Similar to the Medium Rehab classification criteria, the intent here,
as well, is to require distinct calendar days of therapy during the 7-
day look-back period (in this case, 3 distinct calendar days of
therapy). For example, this policy would be implemented correctly if a
resident received a total of 90 minutes of therapy in the form of
physical therapy on Monday and Wednesday, occupational therapy on
Wednesday and Friday, and speech therapy on Friday. In this example,
therapy services are being provided over 3 distinct calendar days
(Monday, Wednesday, and Friday). However, as with the Medium Rehab
category, it is possible for certain residents who do not meet the Low
Rehab qualifiers under the intended policy to classify inappropriately
into the Low Rehab category. For example, if a resident were to receive
90 minutes of therapy in the form of physical therapy and occupational
therapy on Monday, and physical therapy and speech therapy on Tuesday,
this patient would only have received therapy for 2 distinct days in
that 7-day look-back period; however, based on the information
currently recorded on the MDS, the patient would still be classified in
a Low Rehab RUG.
As explained above, we are clarifying that our classification
criteria for the Rehabilitation RUG categories require that the
resident receive the requisite number of distinct calendar days of
therapy to be classified into the Rehabilitation RUG category. However,
the MDS item set currently does not contain an item that permits SNFs
to report the total number of distinct calendar days of therapy
provided by all rehabilitation disciplines, allowing some residents to
be classified into Rehabilitation RUG categories when they do not
actually meet our classification criteria. To permit facilities to
report the number of distinct calendar days that a resident receives
therapy, and to permit implementation of our Rehabilitation RUG
classification criteria as intended, we propose to add item O0420 to
the MDS Item Set, Distinct Calendar Days of Therapy. Effective October
1, 2013, facilities would be required to record under this item the
number of distinct calendar days of therapy provided by all the
rehabilitation disciplines over the 7-day look-back period for the
current assessment, which would be used to classify the resident into
the correct Rehabilitation RUG category. We invite comments on our
proposal to add this item to the MDS Item Set so that we may properly
implement our Rehabilitation RUG classification criteria based on the
number of distinct calendar days of therapy a patient received, as
described above.
D. SNF Therapy Research Project
Currently, the therapy payment rate component of the SNF PPS is
based solely on the amount of therapy provided to a patient during the
7-day look-back period, regardless of the specific patient
characteristics. The amount of therapy a patient receives is used to
classify the resident into a RUG category, which then determines the
per diem payment for that resident. CMS has contracted with Acumen, LLC
and the Brookings Institution to identify potential alternatives to the
existing methodology used to pay for therapy services received under
the SNF PPS.
As an initial step, the project will review past research studies
and policy issues related to SNF PPS therapy payment and options for
improving or replacing the current system of paying for SNF therapy
services received. We welcome comments and ideas on the existing
methodology used to pay for therapy services under the SNF PPS.
Comments may be included as part of comments on this proposed rule. We
are also soliciting comments outside the comment period and these
comments should be sent via email to SNFTherapyPayments@cms.hhs.gov. We
will also regularly update the public on the progress of this project
on the project Web site at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/therapyresearch.html.
VI. Provisions of the Proposed Rule and Technical Correction
As discussed in section III. of this proposed rule, this proposed
rule would update the payment rates under the SNF PPS for FY 2014 as
required by section 1888(e)(4)(E)(ii). Also, as discussed in section
III.B.3. of this proposed rule, we propose that when the forecast
error, rounded to one significant digit, is 0.5 percentage point, we
would calculate the forecast error to 2 significant digits in order to
determine whether the forecast error threshold has been exceeded.
Further, as discussed in section III.C. of this proposed rule, we
propose that upon the conversion to ICD-10-CM effective October 1,
2014, we would use the ICD-10-CM code B20 (in place of the ICD-9-CM
code 042) to identify those residents for whom it is appropriate to
apply the AIDS add-on established under section 511 of the MMA. In
addition, as discussed in section III.D. of this proposed rule, to
allow for sufficient time to assess the February 28, 2013 OMB changes
to the statistical area delineations and their
[[Page 26467]]
ramifications, we intend to propose changes to the wage index based on
the newest CBSA changes in the FY 2015 SNF PPS proposed rule. Thus, we
would continue to use the previous OMB definitions (that is, those used
for the FY 2013 SNF PPS update notice) for the FY 2014 SNF PPS wage
index.
As discussed previously in section V.A of this proposed rule, we
propose to revise and rebase the SNF market basket index to reflect a
base year of FY 2010, and to use this revised and rebased market basket
to determine the SNF market basket percentage increase for 2014. In
addition, we propose to revise the labor-related share to reflect the
relative importance of the labor-related cost weights in the proposed
FY 2010-based SNF market basket. Also, as discussed in section V.C. of
this proposed rule, to help ensure accuracy in grouping to the
rehabilitation RUG categories, we propose to add item O0420 to the MDS
Item Set, which would require facilities to record the number of
distinct calendar days of therapy provided by all the rehabilitation
disciplines over the 7-day look-back period for the current assessment.
In addition, as discussed earlier in this proposed rule, we are
proposing to adopt an approach already being followed by other Medicare
payment systems, under which the lengthy wage index tables that are
currently published in the Federal Register as part of the annual SNF
PPS rulemaking, would instead be made available exclusively through the
Internet on the CMS Web site at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/WageIndex.html. To adopt this approach,
we propose to revise Sec. 413.345. Currently, Sec. 413.345 states
that CMS publishes the wage index in the Federal Register. We propose
to revise this language, consistent with the language of the
corresponding statutory authority at section 1888(e)(4)(H)(iii), to
state that CMS publishes in the Federal Register ``the factors to be
applied in making the area wage adjustment.'' Accordingly, while the
annual Federal Register publication would continue to include a
discussion of the various applicable ``factors'' applied in making the
area wage adjustment (for example, the SNF PPS's use of the hospital
wage index exclusive of its occupational mix adjustment), effective
October 1, 2013, it would no longer include a listing of the individual
wage index values themselves, which would instead be made available
exclusively through the Internet on the CMS Web site.
Further, we propose to make a minor technical correction in the
regulations text at Sec. 424.11(e)(4), regarding the types of
practitioners (in addition to physicians) that can sign the required
SNF level of care certification and recertifications. In the calendar
year (CY) 2011 Medicare Physician Fee Schedule (MPFS) final rule with
comment period (75 FR 73387, 73602, 73626-27), we revised the
regulations at Sec. 424.20(e)(2) to implement section 3108 of the
Affordable Care Act, which amended section 1814(a)(2) of the Act, by
adding physician assistants to the provision authorizing nurse
practitioners and clinical nurse specialists to perform this function.
However, we inadvertently neglected to make a conforming revision in
the regulations text at Sec. 424.11(e)(4), an omission that we now
propose to rectify.
VII. Collection of Information Requirements
Under the Paperwork Reduction Act of 1995 (PRA), we are required to
provide a 60-day notice in the Federal Register and solicit public
comments before a collection of information requirement is submitted to
the Office of Management and Budget (OMB) for review and approval. In
order to evaluate fairly whether an information collection should be
approved by OMB, section 3506(c)(2)(A) of the PRA requires that we
solicit comments 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 the section
3506(c)(2)(A)-required issues for the following information collection
requirements (ICRs):
ICRs Regarding Nursing Home and Swing Bed PPS Item Sets
Under sections 4204(b) and 4214(d) of the Omnibus Budget
Reconciliation Act of 1987 (OBRA 1987, Pub. L. 100-203 enacted on
December 22, 1987), the submission and retention of resident assessment
data for purposes of carrying out OBRA 1987 are not subject to the PRA.
While certain data items that are collected under the SNF resident
assessment instrument (or MDS 3.0) fall under the OBRA 1987 exemption,
MDS 3.0's PPS-related item sets are outside the scope of OBRA 1987 and
require PRA consideration.
As discussed in section V.C. of the preamble, this rule proposes to
add PPS-related Item O0420 to the MDS 3.0 form to capture the number of
distinct calendar days a SNF resident has received therapy in a seven-
day look-back period. The Item would be added to allow the RUG-IV
grouper software to calculate more accurately the number of therapy
days a SNF resident has received in order to place him or her into the
correct RUG-IV payment group. The Item would not be added as the result
of any change in statute or policy; rather, it would be added to ensure
that our existing Rehabilitation RUG classification policies are
properly implemented as intended.
While we are proposing to add Item O0420 to the MDS 3.0 form, we do
not believe this action will cause any measurable adjustments to our
burden estimates. Consequently, we are not revising the burden
estimates that have been approved under OCN 0938-1140 (CMS-R-250) for
the Nursing Home and Swing Bed PPS Item Sets.
Submission of PRA-Related Comments
We have submitted a copy of this proposed rule to OMB for its
review of the rule's information collection and recordkeeping
requirements. These requirements are not effective until they have been
approved by the OMB.
To obtain copies of the supporting statement and any related forms
for the proposed paperwork collection referenced above, access CMS' Web
site at https://www.cms.hhs.gov/PaperworkReductionActof1995, or email
your request, including your address, phone number, OMB number, and CMS
document identifier, to Paperwork@cms.hhs.gov, or call the Reports
Clearance Office on (410) 786-1326.
We invite public comments on this proposed information collection
and recordkeeping requirement. If you comment on this proposed
information collection and recordkeeping requirement, please do either
of the following:
1. Submit your comments electronically as specified in the
ADDRESSES section of this proposed rule; or
2. Submit your comments to the Office of Information and Regulatory
Affairs, Office of Management and Budget, Attention: CMS Desk Officer,
(CMS-1446-P) Fax: (202) 395-6974; or Email: OIRA_submission@omb.eop.gov.
[[Page 26468]]
VIII. Response to Comments
Because of the large number of public comments we normally receive
on Federal Register documents, we are not able to acknowledge or
respond to them individually. We will consider all comments we receive
by the date and time specified in the DATES section of this preamble,
and when we proceed with a subsequent document, we will respond to the
comments in the preamble to that document.
IX. Economic Analyses
A. Regulatory Impact Analysis
1. Introduction
We have examined the impacts of this proposed rule as required by
Executive Order 12866 on Regulatory Planning and Review (September 30,
1993), Executive Order 13563 on Improving Regulation and Regulatory
Review (January 18, 2011), the Regulatory Flexibility Act (RFA)
(September 19, 1980, Pub. L. 96-354), section 1102(b) of the Act,
section 202 of the Unfunded Mandates Reform Act of 1995 (UMRA, March
22, 1995; Pub. L. 104-4), Executive Order 13132 on Federalism (August
4, 1999), and the Congressional Review Act (5 U.S.C. 804(2)).
Executive Orders 12866 and 13563 direct agencies to assess all
costs and benefits of available regulatory alternatives and, if
regulation is necessary, to select regulatory approaches that maximize
net benefits (including potential economic, environmental, public
health and safety effects, distributive impacts, and equity). Executive
Order 13563 emphasizes the importance of quantifying both costs and
benefits, of reducing costs, of harmonizing rules, and of promoting
flexibility. This rule has been designated an economically significant
rule, under section 3(f)(1) of Executive Order 12866. Accordingly, we
have prepared a regulatory impact analysis (RIA) as further discussed
below. Also, the rule has been reviewed by OMB.
2. Statement of Need
This proposed rule would update the SNF prospective payment rates
for FY 2014 as required under section 1888(e)(4)(E) of the Act. It also
responds to section 1888(e)(4)(H) of the Act, which requires the
Secretary to ``provide for publication in the Federal Register'' before
the August 1 that precedes the start of each fiscal year, of the
unadjusted federal per diem rates, the case-mix classification system,
and the factors to be applied in making the area wage adjustment. As
these statutory provisions prescribe a detailed methodology for
calculating and disseminating payment rates under the SNF PPS, we do
not have the discretion to adopt an alternative approach.
3. Overall Impacts
This proposed rule sets forth proposed updates of the SNF PPS rates
contained in the update notice for FY 2013 (77 FR 46214). Based on the
above, we estimate that the aggregate impact would be an increase of
$500 million in payments to SNFs, resulting from the SNF market basket
update to the payment rates, as adjusted by the MFP adjustment and
forecast error correction. The impact analysis of this proposed rule
represents the projected effects of the changes in the SNF PPS from FY
2013 to FY 2014. Although the best data available are 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.
Certain events may occur to limit the scope or accuracy of our
impact analysis, as this analysis is future-oriented 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 such 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 sections 1888(e)(4)(E) and 1888(e)(5) of the
Act, we update the FY 2013 payment rates by a factor equal to the
market basket index percentage change adjusted by the FY 2012 forecast
error adjustment (if applicable) and the MFP adjustment to determine
the payment rates for FY 2014. As discussed previously, for FY 2012 and
each subsequent FY, as required by section 1888(e)(5)(B) of the Act as
amended by section 3401(b) of the Affordable Care Act, the market
basket percentage is reduced by the MFP adjustment. 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 fewer than 4,100 beneficiaries who qualify for
the add-on payment for residents with AIDS. The impact to Medicare is
included in the ``total'' column of Table 22. In updating the SNF rates
for FY 2014, we made a number of standard annual revisions and
clarifications mentioned elsewhere in this proposed rule (for example,
the update to the wage and market basket indexes used for adjusting the
federal rates).
The annual update set forth in this proposed rule applies to SNF
payments in FY 2014. Accordingly, the analysis that follows only
describes the impact of this single year. In accordance with the
requirements of the Act, we will publish a notice or rule for each
subsequent FY that will provide for an update to the SNF payment rates
and include an associated impact analysis.
4. Detailed Economic Analysis
The FY 2014 impacts appear in Table 22. Using the most recently
available data, in this case FY 2012, we apply the current FY 2013 wage
index and labor-related share value to the number of payment days to
simulate FY 2013 payments. Then, using the same FY 2012 data, we apply
the FY 2014 wage index and labor-related share value to simulate FY
2014 payments. We tabulate the resulting payments according to the
classifications in Table 22, e.g. facility type, geographic region,
facility ownership, and compare the difference between current and
proposed payments to determine the overall impact. 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, census region, and
ownership.
The first row of figures 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 nineteen rows show
the effects on facilities by urban versus rural status by census
region. The last three rows show the effects on facilities by ownership
(that is, government, profit, and non-profit status).
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
[[Page 26469]]
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 all of the changes on the FY
2014 payments. The update of 1.4 percent (consisting of the market
basket increase of 2.3 percentage points, reduced by the 0.5 percentage
point forecast error correction and further reduced by the 0.4
percentage point MFP adjustment) is constant for all providers and,
though not shown individually, is included in the total column. It is
projected that aggregate payments will increase by 1.4 percent,
assuming facilities do not change their care delivery and billing
practices in response.
As illustrated in Table 22, the combined effects of all of the
changes vary by specific types of providers and by location. Though all
facilities would experience payment increases, the projected impact on
providers for FY 2014 varies due to the impact of the wage index
update. For example, due to changes from updating the wage index,
providers in the rural Pacific region would experience a 2.5 percent
increase in FY 2014 total payments and providers in the urban East
South Central region would experience a 0.7 percent increase in FY 2014
total payments.
Table 22--RUG-IV Projected Impact to the SNF PPS for FY 2014
----------------------------------------------------------------------------------------------------------------
Number of Update wage Total FY 2014
facilities FY data change
2014 (percent) (percent)
----------------------------------------------------------------------------------------------------------------
Group:
Total........................................................... 15,376 0.0 1.4
Urban....................................................... 10,578 0.1 1.5
Rural....................................................... 4,798 -0.3 1.1
Hospital based urban........................................ 757 0.2 1.6
Freestanding urban.......................................... 9,821 0.1 1.5
Hospital based rural........................................ 402 -0.3 1.1
Freestanding rural.......................................... 4,396 -0.3 1.1
Urban by region:
New England................................................. 804 0.6 2.0
Middle Atlantic............................................. 1,452 0.9 2.3
South Atlantic.............................................. 1,740 -0.5 0.8
East North Central.......................................... 2,048 -0.3 1.1
East South Central.......................................... 525 -0.7 0.7
West North Central.......................................... 868 -0.6 0.8
West South Central.......................................... 1,240 -0.2 1.2
Mountain.................................................... 490 0.2 1.6
Pacific..................................................... 1,405 0.8 2.2
Outlying.................................................... 6 0.1 1.5
Rural by region:
New England................................................. 153 0.4 1.8
Middle Atlantic............................................. 262 -0.2 1.2
South Atlantic.............................................. 608 -0.5 0.9
East North Central.......................................... 928 -0.8 0.6
East South Central.......................................... 551 -0.7 0.7
West North Central.......................................... 1,114 0.6 2.0
West South Central.......................................... 813 -0.8 0.6
Mountain.................................................... 246 0.3 1.7
Pacific..................................................... 123 1.0 2.5
Ownership:
Government.................................................. 830 0.2 1.6
Profit...................................................... 10,722 0.0 1.4
Non-profit.................................................. 3,824 0.0 1.4
----------------------------------------------------------------------------------------------------------------
Note: The Total column includes the 2.3 percent market basket increase, reduced by the 0.5 percentage point
forecast error correction and further reduced by the 0.4 percentage point MFP adjustment. Additionally, we
found no SNFs in rural outlying areas.
5. Alternatives Considered
As described above, we estimate that the aggregate impact for FY
2014 would be an increase of $500 million in payments to SNFs,
resulting from the SNF market basket update to the payment rates, as
adjusted by the forecast error correction and the MFP adjustment.
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 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, a market basket index, a wage index, and the urban and
rural distinction used in the development or adjustment of the federal
rates). Further, 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.
6. Accounting Statement
As required by OMB Circular A-4 (available online at
www.whitehouse.gov/sites/default/files/omb/assets/regulatory_matters_pdf/a-4.pdf), in Table 23, we have prepared an accounting statement
showing the classification of the expenditures
[[Page 26470]]
associated with the provisions of this proposed rule. Table 23 provides
our best estimate of the possible changes in Medicare payments under
the SNF PPS as a result of the policies in this proposed rule, based on
the data for 15,376 SNFs in our database. All expenditures are
classified as transfers to Medicare providers (that is, SNFs).
Table 23--Accounting Statement: Classification of Estimated
Expenditures, From the 2013 SNF PPS Fiscal Year to the 2014 SNF PPS
Fiscal Year
------------------------------------------------------------------------
Category Transfers
------------------------------------------------------------------------
Annualized Monetized Transfers............ $500 million.*
From Whom To Whom? Federal Government to SNF
Medicare Providers.
------------------------------------------------------------------------
* The net increase of $500 million in transfer payments is a result of
the MFP-adjusted market basket increase of $500 million.
7. Conclusion
This proposed rule sets forth updates of the SNF PPS rates
contained in the update notice for FY 2013 (77 FR 46214). Based on the
above, we estimate the overall estimated payments for SNFs in FY 2014
are projected to increase by $500 million, or 1.4 percent, compared
with those in FY 2013. We estimate that in FY 2014 under RUG-IV, SNFs
in urban and rural areas would experience, on average, a 1.5 and 1.1
percent increase, respectively, in estimated payments compared with FY
2013. Providers in the rural Pacific region would experience the
largest estimated increase in payments of approximately 2.5 percent.
Providers in the rural West South Central region would experience the
smallest increase in payments of 0.6 percent.
B. Regulatory Flexibility Act Analysis
The RFA requires agencies to analyze options for regulatory relief
of small entities, if a rule has a significant impact on a substantial
number of small entities. For purposes of the RFA, small entities
include small businesses, non-profit organizations, and small
governmental jurisdictions. Most SNFs and most other providers and
suppliers are small entities, either by their non-profit status or by
having revenues of $25.5 million or less in any 1 year. For purposes of
the RFA, approximately 91 percent of SNFs are considered small
businesses according to the Small Business Administration's latest size
standards (NAICS 623110), with total revenues of $25.5 million or less
in any 1 year. (For details, see the Small Business Administration's
Web site at https://www.sba.gov/category/navigation-structure/contracting/contracting-officials/eligibility-size-standards).
Individuals and States are not included in the definition of a small
entity. In addition, approximately 25 percent of SNFs classified as
small entities are non-profit organizations. Finally, the estimated
number of small business entities does not distinguish provider
establishments that are within a single firm and, therefore, the number
of SNFs classified as small entities may be higher than the estimate
above.
This proposed rule sets forth updates of the SNF PPS rates
contained in the update notice for FY 2013 (77 FR 46214). Based on the
above, we estimate that the aggregate impact would be an increase of
$500 million in payments to SNFs, resulting from the SNF market basket
update to the payment rates, as adjusted by the forecast error
correction and the MFP adjustment. While it is projected in Table 22
that all providers would experience a net increase in payments, we note
that some individual providers within the same region or group may
experience different impacts on payments than others due to the
distributional impact of the FY 2014 wage indexes and the degree of
Medicare utilization.
Guidance issued by the Department of Health and Human Services on
the proper assessment of the impact on small entities in rulemakings,
utilizes a cost or revenue impact of 3 to 5 percent as a significance
threshold under the RFA. According to MedPAC, Medicare covers
approximately 12 percent of total patient days in freestanding
facilities and 23 percent of facility revenue (Report to the Congress:
Medicare Payment Policy, March 2013, available at https://www.medpac.gov/documents/Mar13_EntireReport.pdf). However, it is worth
noting that the distribution of days and payments is highly variable.
That is, the majority of SNFs have significantly lower Medicare
utilization (Report to the Congress: Medicare Payment Policy, March
2013, available at https://www.medpac.gov/documents/Mar13_EntireReport.pdf). As a result, for most facilities, when all payers
are included in the revenue stream, the overall impact on total
revenues should be substantially less than those impacts presented in
Table 22. As indicated in Table 22, the effect on facilities is
projected to be an aggregate positive impact of 1.4 percent. As the
overall impact on the industry as a whole, and thus on small entities
specifically, is less than the 3 to 5 percent threshold discussed
above, the Secretary has determined that this proposed rule would not
have a significant impact on a substantial number of small entities.
In addition, section 1102(b) of the Act requires us to prepare a
regulatory impact analysis if a rule may have a significant impact on
the operations of a substantial number of small rural hospitals. This
analysis must conform to the provisions of section 603 of the RFA. For
purposes of section 1102(b) of the Act, we define a small rural
hospital as a hospital that is located outside of a Metropolitan
Statistical Area and has fewer than 100 beds. This proposed rule would
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 would be similar to the impact
on SNF providers overall. Moreover, as noted in the FY 2012 final rule
(76 FR 48539), the category of small rural hospitals would be included
within the analysis of the impact of this proposed rule on small
entities in general. As indicated in Table 22, the effect on facilities
is projected to be an aggregate positive impact of 1.4 percent. As the
overall impact on the industry as a whole is less than the 3 to 5
percent threshold discussed above, the Secretary has determined that
this proposed rule would not have a significant impact on a substantial
number of small rural hospitals.
C. Unfunded Mandates Reform Act Analysis
Section 202 of the Unfunded Mandates Reform Act of 1995 (UMRA) also
requires that agencies assess anticipated costs and benefits before
issuing any rule whose mandates require spending in any 1 year of $100
million in 1995 dollars, updated annually for inflation. In 2013, that
threshold is approximately $141 million. This proposed rule would not
impose spending costs on State, local, or tribal governments in the
aggregate, or by the private sector, of $141 million.
D. Federalism Analysis
Executive Order 13132 establishes certain requirements that an
agency must meet when it promulgates a proposed rule (and subsequent
final rule) that impose substantial direct requirement costs on State
and local governments, preempts State law, or otherwise has federalism
implications. This proposed rule would have no substantial direct
effect on State and local governments, preempt State law, or otherwise
have federalism implications.
[[Page 26471]]
List of Subjects
42 CFR Part 413
Health facilities, Kidney diseases, Medicare, Reporting and
recordkeeping requirements.
42 CFR Part 424
Emergency medical services, Health facilities, Health professions,
Medicare, Reporting and recordkeeping requirements.
For the reasons set forth in the preamble, the Centers for Medicare
& Medicaid Services proposes to amend 42 CFR chapter IV as set forth
below:
PART 413--PRINCIPLES OF REASONABLE COST REIMBURSEMENT; PAYMENT FOR
END-STAGE RENAL DISEASE SERVICES; OPTIONAL PROSPECTIVELY DETERMINED
PAYMENT RATES FOR SKILLED NURSING FACILITIES
0
1. The authority citation for part 413 continues to read as follows:
Authority: Secs. 1102, 1812(d), 1814(b), 1815, 1833(a), (i),
and (n), 1861(v), 1871, 1881, 1883, and 1886 of the Social Security
Act (42 U.S.C. 1302, 1395d(d), 1395f(b), 1395g, 1395l(a), (i), and
(n), 1395x(v), 1395hh, 1395rr, 1395tt, and 1395ww); sec. 124 of Pub.
L. 106-133 (113 Stat. 1501A-332) and sec. 3201 of Pub. L. 112-96
(126 Stat. 156).
0
2. Section 413.345 is revised to read as follows:
Sec. 413.345 Publication of Federal prospective payment rates.
CMS publishes information pertaining to each update of the Federal
payment rates in the Federal Register. This information includes the
standardized Federal rates, the resident classification system that
provides the basis for case-mix adjustment (including the designation
of those specific Resource Utilization Groups under the resident
classification system that represent the required SNF level of care, as
provided in Sec. 409.30 of this chapter), and the factors to be
applied in making the area wage adjustment. This information is
published before May 1 for the fiscal year 1998 and before August 1 for
the fiscal years 1999 and after.
PART 424--CONDITIONS FOR MEDICARE PAYMENT
0
3. The authority citation for part 424 continues to read as follows:
Authority: Secs. 1102 and 1871 of the Social Security Act (42
U.S.C. 1302 and 1395hh).
0
4. Section 424.11 is amended by revising paragraph (e)(4) to read as
follows:
Sec. 424.11 General procedures.
* * * * *
(e) * * *
(4) A nurse practitioner or clinical nurse specialist as defined in
paragraph (e)(5) or (e)(6) of this section, or a physician assistant as
defined in section 1861(aa)(5) of the Act, in the circumstances
specified in Sec. 424.20(e).
* * * * *
Authority: (Catalog of Federal Domestic Assistance Program No.
93.773, Medicare--Hospital Insurance; and Program No. 93.774,
Medicare--Supplementary Medical Insurance Program)
Dated: April 4, 2013.
Marilyn Tavenner,
Acting Administrator, Centers for Medicare & Medicaid Services.
Approved: April 25, 2013.
Kathleen Sebelius,
Secretary.
Note: The following addendum will not appear in the Code of
Federal Regulations.
Addendum--FY 2014 CBSA Wage Index Tables
In this addendum, we provide the wage index tables referred to
in the preamble to this proposed rule. Tables A and B display the
CBSA-based wage index values for urban and rural providers. As noted
previously in this proposed rule, we are currently proposing to take
an approach already being followed by other Medicare payment
systems, whereby for SNF PPS rules and notices published on or after
October 1, 2013, these wage index tables would henceforth be made
available exclusively through the Internet on the CMS Web site
rather than being published in the Federal Register as part of the
annual SNF PPS rulemaking.
Table A--FY 2014 Wage Index for Urban Areas Based on CBSA Labor Market
Areas
------------------------------------------------------------------------
Urban area (constituent Wage
CBSA Code counties) index
------------------------------------------------------------------------
10180....................... Abilene, TX..................... 0.8260
Callahan County, TX
Jones County, TX
Taylor County, TX
10380....................... Aguadilla-Isabela-San 0.3662
Sebasti[aacute]n, PR.
Aguada Municipio, PR
Aguadilla Municipio, PR
A[ntilde]asco Municipio, PR
Isabela Municipio, PR
Lares Municipio, PR
Moca Municipio, PR
Rinc[oacute]n Municipio, PR
San Sebasti[aacute]n Municipio,
PR
10420....................... Akron, OH....................... 0.8485
Portage County, OH
Summit County, OH
10500....................... Albany, GA...................... 0.8750
Baker County, GA
Dougherty County, GA
Lee County, GA
Terrell County, GA
Worth County, GA
10580....................... Albany-Schenectady-Troy, NY..... 0.8636
Albany County, NY
Rensselaer County, NY
Saratoga County, NY
Schenectady County, NY
Schoharie County, NY
10740....................... Albuquerque, NM................. 0.9704
Bernalillo County, NM
Sandoval County, NM
Torrance County, NM
Valencia County, NM
10780....................... Alexandria, LA.................. 0.7821
Grant Parish, LA
Rapides Parish, LA
10900....................... Allentown-Bethlehem-Easton, PA- 0.9208
NJ.
Warren County, NJ
Carbon County, PA
Lehigh County, PA
Northampton County, PA
11020....................... Altoona, PA..................... 0.9140
Blair County, PA
11100....................... Amarillo, TX.................... 0.8993
Armstrong County, TX
Carson County, TX
Potter County, TX
Randall County, TX
11180....................... Ames, IA........................ 0.9465
Story County, IA
11260....................... Anchorage, AK................... 1.2259
Anchorage Municipality, AK
Matanuska-Susitna Borough, AK
11300....................... Anderson, IN.................... 0.9694
Madison County, IN
11340....................... Anderson, SC.................... 0.8803
Anderson County, SC
11460....................... Arbor, MI....................... 1.0125
Washtenaw County, MI
11500....................... Anniston-Oxford, AL............. 0.7369
Calhoun County, AL
11540....................... Appleton, WI.................... 0.9485
Calumet County, WI
Outagamie County, WI
11700....................... Asheville, NC................... 0.8508
Buncombe County, NC
Haywood County, NC
Henderson County, NC
Madison County, NC
12020....................... Athens-Clarke County, GA........ 0.9284
Clarke County, GA
Madison County, GA
Oconee County, GA
Oglethorpe County, GA
12060....................... Atlanta-Sandy Springs-Marietta, 0.9465
GA.
Barrow County, GA
[[Page 26472]]
Bartow County, GA
Butts County, GA
Carroll County, GA
Cherokee County, GA
Clayton County, GA
Cobb County, GA
Coweta County, GA
Dawson County, GA
DeKalb County, GA
Douglas County, GA
Fayette County, GA
Forsyth County, GA
Fulton County, GA
Gwinnett County, GA
Haralson County, GA
Heard County, GA
Henry County, GA
Jasper County, GA
Lamar County, GA
Meriwether County, GA
Newton County, GA
Paulding County, GA
Pickens County, GA
Pike County, GA
Rockdale County, GA
Spalding County, GA
Walton County, GA
12100....................... Atlantic City-Hammonton, NJ..... 1.2310
Atlantic County, NJ
12220....................... Auburn-Opelika, AL.............. 0.7802
Lee County, AL
12260....................... Augusta-Richmond County, GA-SC.. 0.9189
Burke County, GA
Columbia County, GA
McDuffie County, GA
Richmond County, GA
Aiken County, SC
Edgefield County, SC
12420....................... Austin-Round Rock, TX........... 0.9616
Bastrop County, TX
Caldwell County, TX
Hays County, TX
Travis County, TX
Williamson County, TX
12540....................... Bakersfield, CA................. 1.1730
Kern County, CA
12580....................... Baltimore-Towson, MD............ 0.9916
Anne Arundel County, MD
Baltimore County, MD
Carroll County, MD
Harford County, MD
Howard County, MD
Queen Anne's County, MD
Baltimore City, MD
12620....................... Bangor, ME...................... 0.9751
Penobscot County, ME
12700....................... Barnstable Town, MA............. 1.3062
Barnstable County, MA
12940....................... Baton Rouge, LA................. 0.8050
Ascension Parish, LA
East Baton Rouge Parish, LA
East Feliciana Parish, LA
Iberville Parish, LA
Livingston Parish, LA
Pointe Coupee Parish, LA
St. Helena Parish, LA
West Baton Rouge Parish, LA
West Feliciana Parish, LA
12980....................... Battle Creek, MI................ 0.9763
Calhoun County, MI
13020....................... Bay City, MI.................... 0.9526
Bay County, MI
13140....................... Beaumont-Port Arthur, TX........ 0.8634
Hardin County, TX
Jefferson County, TX
Orange County, TX
13380....................... Bellingham, WA.................. 1.1940
Whatcom County, WA
13460....................... Bend, OR........................ 1.1857
Deschutes County, OR
13644....................... Bethesda-Frederick-Gaithersburg, 1.0348
MD.
Frederick County, MD
Montgomery County, MD
13740....................... Billings, MT.................... 0.8727
Carbon County, MT
Yellowstone County, MT
13780....................... Binghamton, NY.................. 0.7863
Broome County, NY
Tioga County, NY
13820....................... Birmingham-Hoover, AL........... 0.8395
Bibb County, AL
Blount County, AL
Chilton County, AL
Jefferson County, AL
St. Clair County, AL
Shelby County, AL
Walker County, AL
13900....................... Bismarck, ND.................... 0.7312
Burleigh County, ND
Morton County, ND
13980....................... Blacksburg-Christiansburg- 0.8354
Radford, VA.
Giles County, VA
Montgomery County, VA
Pulaski County, VA
Radford City, VA
14020....................... Bloomington, IN................. 0.9343
Greene County, IN
Monroe County, IN
Owen County, IN
14060....................... Bloomington-Normal, IL.......... 0.9349
McLean County, IL
14260....................... Boise City-Nampa, ID............ 0.9298
Ada County, ID
Boise County, ID
Canyon County, ID
Gem County, ID
Owyhee County, ID
14484....................... Boston-Quincy, MA............... 1.2505
Norfolk County, MA
Plymouth County, MA
Suffolk County, MA
14500....................... Boulder, CO..................... 0.9891
Boulder County, CO
14540....................... Bowling Green, KY............... 0.8314
Edmonson County, KY
Warren County, KY
14740....................... Bremerton-Silverdale, WA........ 1.0311
Kitsap County, WA
14860....................... Bridgeport-Stamford-Norwalk, CT. 1.3287
Fairfield County, CT
15180....................... Brownsville-Harlingen, TX....... 0.8213
Cameron County, TX
15260....................... Brunswick, GA................... 0.7716
Brantley County, GA
Glynn County, GA
McIntosh County, GA
15380....................... Buffalo-Niagara Falls, NY....... 1.0048
Erie County, NY
Niagara County, NY
15500....................... Burlington, NC.................. 0.8552
Alamance County, NC
15540....................... Burlington-South Burlington, VT. 1.0173
Chittenden County, VT
Franklin County, VT
Grand Isle County, VT
15764....................... Cambridge-Newton-Framingham, MA. 1.1201
Middlesex County, MA
15804....................... Camden, NJ...................... 1.0297
Burlington County, NJ
Camden County, NJ
Gloucester County, NJ
15940....................... Canton-Massillon, OH............ 0.8729
Carroll County, OH
Stark County, OH
15980....................... Cape Coral-Fort Myers, FL....... 0.8720
Lee County, FL
16020....................... Cape Girardeau-Jackson, MO-IL... 0.9213
Alexander County, IL
Bollinger County, MO
Cape Girardeau County, MO
16180....................... Carson City, NV................. 1.0767
Carson City, NV
16220....................... Casper, WY...................... 1.0154
Natrona County, WY
16300....................... Cedar Rapids, IA................ 0.9001
Benton County, IA
Jones County, IA
Linn County, IA
16580....................... Champaign-Urbana, IL............ 0.9450
Champaign County, IL
Ford County, IL
Piatt County, IL
16620....................... Charleston, WV.................. 0.8147
Boone County, WV
Clay County, WV
Kanawha County, WV
Lincoln County, WV
Putnam County, WV
16700....................... Charleston-North Charleston- 0.9013
Summerville, SC.
Berkeley County, SC
Charleston County, SC
Dorchester County, SC
[[Page 26473]]
16740....................... Charlotte-Gastonia-Concord, NC- 0.9479
SC.
Anson County, NC
Cabarrus County, NC
Gaston County, NC
Mecklenburg County, NC
Union County, NC
York County, SC
16820....................... Charlottesville, VA............. 0.8443
Albemarle County, VA
Fluvanna County, VA
Greene County, VA
Nelson County, VA
Charlottesville City, VA
16860....................... Chattanooga, TN-GA.............. 0.8499
Catoosa County, GA
Dade County, GA
Walker County, GA
Hamilton County, TN
Marion County, TN
Sequatchie County, TN
16940....................... Cheyenne, WY.................... 0.9534
Laramie County, WY
16974....................... Chicago-Naperville-Joliet, IL... 1.0446
Cook County, IL
DeKalb County, IL
DuPage County, IL
Grundy County, IL
Kane County, IL
Kendall County, IL
McHenry County, IL
Will County, IL
17020....................... Chico, CA....................... 1.1637
Butte County, CA
17140....................... Cincinnati-Middletown, OH-KY-IN. 0.9382
Dearborn County, IN
Franklin County, IN
Ohio County, IN
Boone County, KY
Bracken County, KY
Campbell County, KY
Gallatin County, KY
Grant County, KY
Kenton County, KY
Pendleton County, KY
Brown County, OH
Butler County, OH
Clermont County, OH
Hamilton County, OH
Warren County, OH
17300....................... Clarksville, TN-KY.............. 0.7376
Christian County, KY
Trigg County, KY
Montgomery County, TN
Stewart County, TN
17420....................... Cleveland, TN................... 0.7528
Bradley County, TN
Polk County, TN
17460....................... Cleveland-Elyria-Mentor, OH..... 0.9306
Cuyahoga County, OH
Geauga County, OH
Lake County, OH
Lorain County, OH
Medina County, OH
17660....................... Coeur d'Alene, ID............... 0.9102
Kootenai County, ID
17780....................... College Station-Bryan, TX....... 0.9537
Brazos County, TX
Burleson County, TX
Robertson County, TX
17820....................... Colorado Springs, CO............ 0.9321
El Paso County, CO
Teller County, CO
17860....................... Columbia, MO.................... 0.8231
Boone County, MO
Howard County, MO
17900....................... Columbia, SC.................... 0.8680
Calhoun County, SC
Fairfield County, SC
Kershaw County, SC
Lexington County, SC
Richland County, SC
Saluda County, SC
17980....................... Columbus, GA-AL................. 0.7896
Russell County, AL
Chattahoochee County, GA
Harris County, GA
Marion County, GA
Muscogee County, GA
18020....................... Columbus, IN.................... 0.9860
Bartholomew County, IN
18140....................... Columbus, OH.................... 0.9700
Delaware County, OH
Fairfield County, OH
Franklin County, OH
Licking County, OH
Madison County, OH
Morrow County, OH
Pickaway County, OH
Union County, OH
18580....................... Corpus Christi, TX.............. 0.8469
Aransas County, TX
Nueces County, TX
San Patricio County, TX
18700....................... Corvallis, OR................... 1.0641
Benton County, OR
18880....................... Crestview-Fort Walton Beach- 0.8948
Destin, FL.
Okaloosa County, FL
19060....................... Cumberland, MD-WV............... 0.8088
Allegany County, MD
Mineral County, WV
19124....................... Dallas-Plano-Irving, TX......... 0.9872
Collin County, TX
Dallas County, TX
Delta County, TX
Denton County, TX
Ellis County, TX
Hunt County, TX
Kaufman County, TX
Rockwall County, TX
19140....................... Dalton, GA...................... 0.8662
Murray County, GA
Whitfield County, GA
19180....................... Danville, IL.................... 0.9500
Vermilion County, IL
19260....................... Danville, VA.................... 0.7921
Pittsylvania County, VA
Danville City, VA
19340....................... Davenport-Moline-Rock Island, IA- 0.9345
IL.
Henry County, IL
Mercer County, IL
Rock Island County, IL
Scott County, IA
19380....................... Dayton, OH...................... 0.8941
Greene County, OH
Miami County, OH
Montgomery County, OH
Preble County, OH
19460....................... Decatur, AL..................... 0.7195
Lawrence County, AL
Morgan County, AL
19500....................... Decatur, IL..................... 0.7946
Macon County, IL
19660....................... Deltona-Daytona Beach-Ormond 0.8596
Beach, FL.
Volusia County, FL
19740....................... Denver-Aurora-Broomfield, CO.... 1.0461
Adams County, CO
Arapahoe County, CO
Broomfield County, CO
Clear Creek County, CO
Denver County, CO
Douglas County, CO
Elbert County, CO
Gilpin County, CO
Jefferson County, CO
Park County, CO
19780....................... Des Moines-West Des Moines, IA.. 0.9433
Dallas County, IA
Guthrie County, IA
Madison County, IA
Polk County, IA
Warren County, IA
19804....................... Detroit-Livonia-Dearborn, MI.... 0.9256
Wayne County, MI
20020....................... Dothan, AL...................... 0.7136
Geneva County, AL
Henry County, AL
Houston County, AL
20100....................... Dover, DE....................... 0.9981
Kent County, DE
20220....................... Dubuque, IA..................... 0.8828
Dubuque County, IA
20260....................... Duluth, MN-WI................... 0.9351
Carlton County, MN
St. Louis County, MN
Douglas County, WI
20500....................... Durham-Chapel Hill, NC.......... 0.9707
Chatham County, NC
Durham County, NC
Orange County, NC
Person County, NC
20740....................... Eau Claire, WI.................. 1.0174
Chippewa County, WI
Eau Claire County, WI
20764....................... Edison-New Brunswick, NJ........ 1.0956
Middlesex County, NJ
Monmouth County, NJ
Ocean County, NJ
Somerset County, NJ
20940....................... El Centro, CA................... 0.8885
Imperial County, CA
21060....................... Elizabethtown, KY............... 0.7928
Hardin County, KY
[[Page 26474]]
Larue County, KY
21140....................... Elkhart-Goshen, IN.............. 0.9369
Elkhart County, IN
21300....................... Elmira, NY...................... 0.8396
Chemung County, NY
21340....................... El Paso, TX..................... 0.8441
El Paso County, TX
21500....................... Erie, PA........................ 0.7973
Erie County, PA
21660....................... Eugene-Springfield, OR.......... 1.1773
Lane County, OR
21780....................... Evansville, IN-KY............... 0.8367
Gibson County, IN
Posey County, IN
Vanderburgh County, IN
Warrick County, IN
Henderson County, KY
Webster County, KY
21820....................... Fairbanks, AK................... 1.1043
Fairbanks North Star Borough, AK
21940....................... Fajardo, PR..................... 0.3744
Ceiba Municipio, PR
Fajardo Municipio, PR
Luquillo Municipio, PR
22020....................... Fargo, ND-MN.................... 0.7835
Cass County, ND
Clay County, MN
22140....................... Farmington, NM.................. 0.9776
San Juan County, NM
22180....................... Fayetteville, NC................ 0.8460
Cumberland County, NC
Hoke County, NC
22220....................... Fayetteville-Springdale-Rogers, 0.8993
AR-MO.
Benton County, AR
Madison County, AR
Washington County, AR
McDonald County, MO
22380....................... Flagstaff, AZ................... 1.2840
Coconino County, AZ
22420....................... Flint, MI....................... 1.1303
Genesee County, MI
22500....................... Florence, SC.................... 0.7968
Darlington County, SC
Florence County, SC
22520....................... Florence-Muscle Shoals, AL...... 0.7553
Colbert County, AL
Lauderdale County, AL
22540....................... Fond du Lac, WI................. 0.9517
Fond du Lac County, WI
22660....................... Fort Collins-Loveland, CO....... 0.9743
Larimer County, CO
22744....................... Fort Lauderdale-Pompano Beach- 1.0422
Deerfield Beach, FL.
Broward County, FL
22900....................... Fort Smith, AR-OK............... 0.7588
Crawford County, AR
Franklin County, AR
Sebastian County, AR
Le Flore County, OK
Sequoyah County, OK
23060....................... Fort Wayne, IN.................. 0.9048
Allen County, IN
Wells County, IN
Whitley County, IN
23104....................... Fort Worth-Arlington, TX........ 0.9552
Johnson County, TX
Parker County, TX
Tarrant County, TX
Wise County, TX
23420....................... Fresno, CA...................... 1.1817
Fresno County, CA
23460....................... Gadsden, AL..................... 0.8017
Etowah County, AL
23540....................... Gainesville, FL................. 0.9751
Alachua County, FL
Gilchrist County, FL
23580....................... Gainesville, GA................. 0.9292
Hall County, GA
23844....................... Gary, IN........................ 0.9440
Jasper County, IN
Lake County, IN
Newton County, IN
Porter County, IN
24020....................... Glens Falls, NY................. 0.8402
Warren County, NY
Washington County, NY
24140....................... Goldsboro, NC................... 0.8316
Wayne County, NC
24220....................... Grand Forks, ND-MN.............. 0.7321
Polk County, MN
Grand Forks County, ND
24300....................... Grand Junction, CO.............. 0.9347
Mesa County, CO
24340....................... Grand Rapids-Wyoming, MI........ 0.9129
Barry County, MI
Ionia County, MI
Kent County, MI
Newaygo County, MI
24500....................... Great Falls, MT................. 0.9274
Cascade County, MT
24540....................... Greeley, CO..................... 0.9694
Weld County, CO
24580....................... Green Bay, WI................... 0.9627
Brown County, WI
Kewaunee County, WI
Oconto County, WI
24660....................... Greensboro-High Point, NC....... 0.8288
Guilford County, NC
Randolph County, NC
Rockingham County, NC
24780....................... Greenville, NC.................. 0.9382
Greene County, NC
Pitt County, NC
24860....................... Greenville-Mauldin-Easley, SC... 0.9611
Greenville County, SC
Laurens County, SC
Pickens County, SC
25020....................... Guayama, PR..................... 0.3723
Arroyo Municipio, PR
Guayama Municipio, PR
Patillas Municipio, PR
25060....................... Gulfport-Biloxi, MS............. 0.8610
Hancock County, MS
Harrison County, MS
Stone County, MS
25180....................... Hagerstown-Martinsburg, MD-WV... 0.9273
Washington County, MD
Berkeley County, WV
Morgan County, WV
25260....................... Hanford-Corcoran, CA............ 1.1171
Kings County, CA
25420....................... Harrisburg-Carlisle, PA......... 0.9515
Cumberland County, PA
Dauphin County, PA
Perry County, PA
25500....................... Harrisonburg, VA................ 0.9128
Rockingham County, VA
Harrisonburg City, VA
25540....................... Hartford-West Hartford-East 1.1056
Hartford, CT.
Hartford County, CT
Middlesex County, CT
Tolland County, CT
25620....................... Hattiesburg, MS................. 0.7972
Forrest County, MS
Lamar County, MS
Perry County, MS
25860....................... Hickory-Lenoir-Morganton, NC.... 0.8383
Alexander County, NC
Burke County, NC
Caldwell County, NC
Catawba County, NC
25980....................... Hinesville-Fort Stewart, GA \1\. 0.8602
Liberty County, GA
Long County, GA
26100....................... Holland-Grand Haven, MI......... 0.8050
Ottawa County, MI
26180....................... Honolulu, HI.................... 1.2109
Honolulu County, HI
26300....................... Hot Springs, AR................. 0.8510
Garland County, AR
26380....................... Houma-Bayou Cane-Thibodaux, LA.. 0.7556
Lafourche Parish, LA
Terrebonne Parish, LA
26420....................... Houston-Sugar Land-Baytown, TX.. 0.9945
Austin County, TX
Brazoria County, TX
Chambers County, TX
Fort Bend County, TX
Galveston County, TX
Harris County, TX
Liberty County, TX
Montgomery County, TX
San Jacinto County, TX
Waller County, TX
26580....................... Huntington-Ashland, WV-KY-OH.... 0.8858
Boyd County, KY
Greenup County, KY
Lawrence County, OH
Cabell County, WV
Wayne County, WV
26620....................... Huntsville, AL.................. 0.8199
Limestone County, AL
Madison County, AL
26820....................... Idaho Falls, ID................. 0.9351
Bonneville County, ID
Jefferson County, ID
26900....................... Indianapolis-Carmel, IN......... 1.0151
Boone County, IN
Brown County, IN
[[Page 26475]]
Hamilton County, IN
Hancock County, IN
Hendricks County, IN
Johnson County, IN
Marion County, IN
Morgan County, IN
Putnam County, IN
Shelby County, IN
26980....................... Iowa City, IA................... 0.9896
Johnson County, IA
Washington County, IA
27060....................... Ithaca, NY...................... 0.9366
Tompkins County, NY
27100....................... Jackson, MI..................... 0.8981
Jackson County, MI
27140....................... Jackson, MS..................... 0.8196
Copiah County, MS
Hinds County, MS
Madison County, MS
Rankin County, MS
Simpson County, MS
27180....................... Jackson, TN..................... 0.7720
Chester County, TN
Madison County, TN
27260....................... Jacksonville, FL................ 0.8987
Baker County, FL
Clay County, FL
Duval County, FL
Nassau County, FL
St. Johns County, FL
27340....................... Jacksonville, NC................ 0.7894
Onslow County, NC
27500....................... Janesville, WI.................. 0.9110
Rock County, WI
27620....................... Jefferson City, MO.............. 0.8501
Callaway County, MO
Cole County, MO
Moniteau County, MO
Osage County, MO
27740....................... Johnson City, TN................ 0.7257
Carter County, TN
Unicoi County, TN
Washington County, TN
27780....................... Johnstown, PA................... 0.8486
Cambria County, PA
27860....................... Jonesboro, AR................... 0.8017
Craighead County, AR
Poinsett County, AR
27900....................... Joplin, MO...................... 0.8016
Jasper County, MO
Newton County, MO
28020....................... Kalamazoo-Portage, MI........... 1.0001
Kalamazoo County, MI
Van Buren County, MI
28100....................... Kankakee-Bradley, IL............ 0.9698
Kankakee County, IL
28140....................... Kansas City, MO-KS.............. 0.9487
Franklin County, KS
Johnson County, KS
Leavenworth County, KS
Linn County, KS
Miami County, KS
Wyandotte County, KS
Bates County, MO
Caldwell County, MO
Cass County, MO
Clay County, MO
Clinton County, MO
Jackson County, MO
Lafayette County, MO
Platte County, MO
Ray County, MO
28420....................... Kennewick-Pasco-Richland, WA.... 0.9499
Benton County, WA
Franklin County, WA
28660....................... Killeen-Temple-Fort Hood, TX.... 0.8963
Bell County, TX
Coryell County, TX
Lampasas County, TX
28700....................... Kingsport-Bristol-Bristol, TN-VA 0.7223
Hawkins County, TN
Sullivan County, TN
Bristol City, VA
Scott County, VA
Washington County, VA
28740....................... Kingston, NY.................... 0.9104
Ulster County, NY
28940....................... Knoxville, TN................... 0.7484
Anderson County, TN
Blount County, TN
Knox County, TN
Loudon County, TN
Union County, TN
29020....................... Kokomo, IN...................... 0.9099
Howard County, IN
Tipton County, IN
29100....................... La Crosse, WI-MN................ 1.0248
Houston County, MN
La Crosse County, WI
29140....................... Lafayette, IN................... 0.9996
Benton County, IN
Carroll County, IN
Tippecanoe County, IN
29180....................... Lafayette, LA................... 0.8266
Lafayette Parish, LA
St. Martin Parish, LA
29340....................... Lake Charles, LA................ 0.7798
Calcasieu Parish, LA
Cameron Parish, LA
29404....................... Lake County-Kenosha County, IL- 1.0249
WI.
Lake County, IL
Kenosha County, WI
29420....................... Lake Havasu City-Kingman, AZ.... 0.9953
Mohave County, AZ
29460....................... Lakeland-Winter Haven, FL....... 0.8316
Polk County, FL
29540....................... Lancaster, PA................... 0.9704
Lancaster County, PA
29620....................... Lansing-East Lansing, MI........ 1.0663
Clinton County, MI
Eaton County, MI
Ingham County, MI
29700....................... Laredo, TX...................... 0.7618
Webb County, TX
29740....................... Las Cruces, NM.................. 0.9210
Dona Ana County, NM
29820....................... Las Vegas-Paradise, NV.......... 1.1682
Clark County, NV
29940....................... Lawrence, KS.................... 0.8700
Douglas County, KS
30020....................... Lawton, OK...................... 0.7926
Comanche County, OK
30140....................... Lebanon, PA..................... 0.8192
Lebanon County, PA
30300....................... Lewiston, ID-WA................. 0.9254
Nez Perce County, ID
Asotin County, WA
30340....................... Lewiston-Auburn, ME............. 0.9086
Androscoggin County, ME
30460....................... Lexington-Fayette, KY........... 0.8850
Bourbon County, KY
Clark County, KY
Fayette County, KY
Jessamine County, KY
Scott County, KY
Woodford County, KY
30620....................... Lima, OH........................ 0.9170
Allen County, OH
30700....................... Lincoln, NE..................... 0.9505
Lancaster County, NE
Seward County, NE
30780....................... Little Rock-North Little Rock- 0.8661
Conway, AR.
Faulkner County, AR
Grant County, AR
Lonoke County, AR
Perry County, AR
Pulaski County, AR
Saline County, AR
30860....................... Logan, UT-ID.................... 0.8791
Franklin County, ID
Cache County, UT
30980....................... Longview, TX.................... 0.8971
Gregg County, TX
Rusk County, TX
Upshur County, TX
31020....................... Longview, WA.................... 1.0504
Cowlitz County, WA
31084....................... Los Angeles-Long Beach-Glendale, 1.2315
CA.
Los Angeles County, CA
31140....................... Louisville-Jefferson County, KY- 0.8892
IN.
Clark County, IN
Floyd County, IN
Harrison County, IN
Washington County, IN
Bullitt County, KY
Henry County, KY
Meade County, KY
Nelson County, KY
Oldham County, KY
Shelby County, KY
Spencer County, KY
Trimble County, KY
31180....................... Lubbock, TX..................... 0.8994
Crosby County, TX
Lubbock County, TX
31340....................... Lynchburg, VA................... 0.8808
Amherst County, VA
Appomattox County, VA
Bedford County, VA
Campbell County, VA
Bedford City, VA
Lynchburg City, VA
31420....................... Macon, GA....................... 0.8860
Bibb County, GA
Crawford County, GA
[[Page 26476]]
Jones County, GA
Monroe County, GA
Twiggs County, GA
31460....................... Madera-Chowchilla, CA........... 0.8352
Madera County, CA
31540....................... Madison, WI..................... 1.1463
Columbia County, WI
Dane County, WI
Iowa County, WI
31700....................... Manchester-Nashua, NH........... 1.0099
Hillsborough County, NH
31740....................... Manhattan, KS................... 0.7876
Geary County, KS
Pottawatomie County, KS
Riley County, KS
31860....................... Mankato-North Mankato, MN....... 0.9316
Blue Earth County, MN
Nicollet County, MN
31900....................... Mansfield, OH................... 0.8448
Richland County, OH
32420....................... Mayag[uuml]ez, PR............... 0.3769
Hormigueros Municipio, PR
Mayag[uuml]ez Municipio, PR
32580....................... McAllen-Edinburg-Mission, TX.... 0.8429
Hidalgo County, TX
32780....................... Medford, OR..................... 1.0735
Jackson County, OR
32820....................... Memphis, TN-MS-AR............... 0.9075
Crittenden County, AR
DeSoto County, MS
Marshall County, MS
Tate County, MS
Tunica County, MS
Fayette County, TN
Shelby County, TN
Tipton County, TN
32900....................... Merced, CA...................... 1.2788
Merced County, CA
33124....................... Miami-Miami Beach-Kendall, FL... 0.9912
Miami-Dade County, FL
33140....................... Michigan City-La Porte, IN...... 0.9255
LaPorte County, IN
33260....................... Midland, TX..................... 1.0092
Midland County, TX
33340....................... Milwaukee-Waukesha-West Allis, 0.9868
WI.
Milwaukee County, WI
Ozaukee County, WI
Washington County, WI
Waukesha County, WI
33460....................... Minneapolis-St. Paul- 1.1260
Bloomington, MN-WI.
Anoka County, MN
Carver County, MN
Chisago County, MN
Dakota County, MN
Hennepin County, MN
Isanti County, MN
Ramsey County, MN
Scott County, MN
Sherburne County, MN
Washington County, MN
Wright County, MN
Pierce County, WI
St. Croix County, WI
33540....................... Missoula, MT.................... 0.9100
Missoula County, MT
33660....................... Mobile, AL...................... 0.7475
Mobile County, AL
33700....................... Modesto, CA..................... 1.3641
Stanislaus County, CA
33740....................... Monroe, LA...................... 0.7550
Ouachita Parish, LA
Union Parish, LA
33780....................... Monroe, MI...................... 0.8755
Monroe County, MI
33860....................... Montgomery, AL.................. 0.7507
Autauga County, AL
Elmore County, AL
Lowndes County, AL
Montgomery County, AL
34060....................... Morgantown, WV.................. 0.8267
Monongalia County, WV
Preston County, WV
34100....................... Morristown, TN.................. 0.6884
Grainger County, TN
Hamblen County, TN
Jefferson County, TN
34580....................... Mount Vernon-Anacortes, WA...... 1.0697
Skagit County, WA
34620....................... Muncie, IN...................... 0.8780
Delaware County, IN
34740....................... Muskegon-Norton Shores, MI...... 0.9625
Muskegon County, MI
34820....................... Myrtle Beach-North Myrtle Beach- 0.8663
Conway, SC.
Horry County, SC
34900....................... Napa, CA........................ 1.5354
Napa County, CA
34940....................... Naples-Marco Island, FL......... 0.9147
Collier County, FL
34980....................... Nashville-Davidson--Murfreesboro- 0.9174
Franklin, TN.
Cannon County, TN
Cheatham County, TN
Davidson County, TN
Dickson County, TN
Hickman County, TN
Macon County, TN
Robertson County, TN
Rutherford County, TN
Smith County, TN
Sumner County, TN
Trousdale County, TN
Williamson County, TN
Wilson County, TN
35004....................... Nassau-Suffolk, NY.............. 1.2764
Nassau County, NY
Suffolk County, NY
35084....................... Newark-Union, NJ-PA............. 1.1273
Essex County, NJ
Hunterdon County, NJ
Morris County, NJ
Sussex County, NJ
Union County, NJ
Pike County, PA
35300....................... New Haven-Milford, CT........... 1.1933
New Haven County, CT
35380....................... New Orleans-Metairie-Kenner, LA. 0.8789
Jefferson Parish, LA
Orleans Parish, LA
Plaquemines Parish, LA
St. Bernard Parish, LA
St. Charles Parish, LA
St. John the Baptist Parish, LA
St. Tammany Parish, LA
35644....................... New York-White Plains-Wayne, NY- 1.3117
NJ.
Bergen County, NJ
Hudson County, NJ
Passaic County, NJ
Bronx County, NY
Kings County, NY
New York County, NY
Putnam County, NY
Queens County, NY
Richmond County, NY
Rockland County, NY
Westchester County, NY
35660....................... Niles-Benton Harbor, MI......... 0.8479
Berrien County, MI
35840....................... North Port-Bradenton-Sarasota- 0.9468
Venice, FL.
Manatee County, FL
Sarasota County, FL
35980....................... Norwich-New London, CT.......... 1.1871
New London County, CT
36084....................... Oakland-Fremont-Hayward, CA..... 1.7061
Alameda County, CA
Contra Costa County, CA
36100....................... Ocala, FL....................... 0.8461
Marion County, FL
36140....................... Ocean City, NJ.................. 1.0628
Cape May County, NJ
36220....................... Odessa, TX...................... 0.9702
Ector County, TX
36260....................... Ogden-Clearfield, UT............ 0.9209
Davis County, UT
Morgan County, UT
Weber County, UT
36420....................... Oklahoma City, OK............... 0.8896
Canadian County, OK
Cleveland County, OK
Grady County, OK
Lincoln County, OK
Logan County, OK
McClain County, OK
Oklahoma County, OK
36500....................... Olympia, WA..................... 1.1650
Thurston County, WA
36540....................... Omaha-Council Bluffs, NE-IA..... 0.9797
Harrison County, IA
Mills County, IA
Pottawattamie County, IA
Cass County, NE
Douglas County, NE
Sarpy County, NE
[[Page 26477]]
Saunders County, NE
Washington County, NE
36740....................... Orlando-Kissimmee, FL........... 0.9101
Lake County, FL
Orange County, FL
Osceola County, FL
Seminole County, FL
36780....................... Oshkosh-Neenah, WI.............. 0.9438
Winnebago County, WI
36980....................... Owensboro, KY................... 0.7823
Daviess County, KY
Hancock County, KY
McLean County, KY
37100....................... Oxnard-Thousand Oaks-Ventura, CA 1.3132
Ventura County, CA
37340....................... Palm Bay-Melbourne-Titusville, 0.8707
FL.
Brevard County, FL
37380....................... Palm Coast, FL.................. 0.8209
Flagler County, FL
37460....................... Panama City-Lynn Haven-Panama 0.7909
City Beach, FL.
Bay County, FL
37620....................... Parkersburg-Marietta-Vienna, WV- 0.7576
OH.
Washington County, OH
Pleasants County, WV
Wirt County, WV
Wood County, WV
37700....................... Pascagoula, MS.................. 0.7574
George County, MS
Jackson County, MS
37764....................... Peabody, MA..................... 1.0571
Essex County, MA
37860....................... Pensacola-Ferry Pass-Brent, FL.. 0.7800
Escambia County, FL
Santa Rosa County, FL
37900....................... Peoria, IL...................... 0.8290
Marshall County, IL
Peoria County, IL
Stark County, IL
Tazewell County, IL
Woodford County, IL
37964....................... Philadelphia, PA................ 1.0926
Bucks County, PA
Chester County, PA
Delaware County, PA
Montgomery County, PA
Philadelphia County, PA
38060....................... Phoenix-Mesa-Scottsdale, AZ..... 1.0505
Maricopa County, AZ
Pinal County, AZ
38220....................... Pine Bluff, AR.................. 0.8103
Cleveland County, AR
Jefferson County, AR
Lincoln County, AR
38300....................... Pittsburgh, PA.................. 0.8713
Allegheny County, PA
Armstrong County, PA
Beaver County, PA
Butler County, PA
Fayette County, PA
Washington County, PA
Westmoreland County, PA
38340....................... Pittsfield, MA.................. 1.0966
Berkshire County, MA
38540....................... Pocatello, ID................... 0.9795
Bannock County, ID
Power County, ID
38660....................... Ponce, PR....................... 0.4614
Juana D[iacute]az Municipio, PR
Ponce Municipio, PR
Villalba Municipio, PR
38860....................... Portland-South Portland- 1.0023
Biddeford, ME.
Cumberland County, ME
Sagadahoc County, ME
York County, ME
38900....................... Portland-Vancouver-Beaverton, OR- 1.1848
WA.
Clackamas County, OR
Columbia County, OR
Multnomah County, OR
Washington County, OR
Yamhill County, OR
Clark County, WA
Skamania County, WA
38940....................... Port St. Lucie, FL.............. 0.9391
Martin County, FL
St. Lucie County, FL
39100....................... Poughkeepsie-Newburgh- 1.1593
Middletown, NY.
Dutchess County, NY
Orange County, NY
39140....................... Prescott, AZ.................... 1.0199
Yavapai County, AZ
39300....................... Providence-New Bedford-Fall 1.0579
River, RI-MA.
Bristol County, MA
Bristol County, RI
Kent County, RI
Newport County, RI
Providence County, RI
Washington County, RI
39340....................... Provo-Orem, UT.................. 0.9501
Juab County, UT
Utah County, UT
39380....................... Pueblo, CO...................... 0.8250
Pueblo County, CO
39460....................... Punta Gorda, FL................. 0.8771
Charlotte County, FL
39540....................... Racine, WI...................... 0.9352
Racine County, WI
39580....................... Raleigh-Cary, NC................ 0.9286
Franklin County, NC
Johnston County, NC
Wake County, NC
39660....................... Rapid City, SD.................. 0.9608
Meade County, SD
Pennington County, SD
39740....................... Reading, PA..................... 0.9105
Berks County, PA
39820....................... Redding, CA..................... 1.5053
Shasta County, CA
39900....................... Reno-Sparks, NV................. 1.0369
Storey County, NV
Washoe County, NV
40060....................... Richmond, VA.................... 0.9723
Amelia County, VA
Caroline County, VA
Charles City County, VA
Chesterfield County, VA
Cumberland County, VA
Dinwiddie County, VA
Goochland County, VA
Hanover County, VA
Henrico County, VA
King and Queen County, VA
King William County, VA
Louisa County, VA
New Kent County, VA
Powhatan County, VA
Prince George County, VA
Sussex County, VA
Colonial Heights City, VA
Hopewell City, VA
Petersburg City, VA
Richmond City, VA
40140....................... Riverside-San Bernardino- 1.1492
Ontario, CA.
Riverside County, CA
San Bernardino County, CA
40220....................... Roanoke, VA..................... 0.9233
Botetourt County, VA
Craig County, VA
Franklin County, VA
Roanoke County, VA
Roanoke City, VA
Salem City, VA
40340....................... Rochester, MN................... 1.1712
Dodge County, MN
Olmsted County, MN
Wabasha County, MN
40380....................... Rochester, NY................... 0.8770
Livingston County, NY
Monroe County, NY
Ontario County, NY
Orleans County, NY
Wayne County, NY
40420....................... Rockford, IL.................... 0.9792
Boone County, IL
Winnebago County, IL
40484....................... Rockingham County-Strafford 1.0215
County, NH.
Rockingham County, NH
Strafford County, NH
40580....................... Rocky Mount, NC................. 0.8786
Edgecombe County, NC
Nash County, NC
40660....................... Rome, GA........................ 0.8962
Floyd County, GA
40900....................... Sacramento-Arden-Arcade- 1.5211
Roseville, CA.
El Dorado County, CA
Placer County, CA
Sacramento County, CA
Yolo County, CA
40980....................... Saginaw-Saginaw Township North, 0.8886
MI.
Saginaw County, MI
41060....................... St. Cloud, MN................... 1.0703
Benton County, MN
Stearns County, MN
41100....................... St. George, UT.................. 0.9385
Washington County, UT
[[Page 26478]]
41140....................... St. Joseph, MO-KS............... 0.9876
Doniphan County, KS
Andrew County, MO
Buchanan County, MO
DeKalb County, MO
41180....................... St. Louis, MO-IL................ 0.9373
Bond County, IL
Calhoun County, IL
Clinton County, IL
Jersey County, IL
Macoupin County, IL
Madison County, IL
Monroe County, IL
St. Clair County, IL
Crawford County, MO
Franklin County, MO
Jefferson County, MO
Lincoln County, MO
St. Charles County, MO
St. Louis County, MO
Warren County, MO
Washington County, MO
St. Louis City, MO
41420....................... Salem, OR....................... 1.1195
Marion County, OR
Polk County, OR
41500....................... Salinas, CA..................... 1.5626
Monterey County, CA
41540....................... Salisbury, MD................... 0.8986
Somerset County, MD
Wicomico County, MD
41620....................... Salt Lake City, UT.............. 0.9396
Salt Lake County, UT
Summit County, UT
Tooele County, UT
41660....................... San Angelo, TX.................. 0.8053
Irion County, TX
Tom Green County, TX
41700....................... San Antonio, TX................. 0.8939
Atascosa County, TX
Bandera County, TX
Bexar County, TX
Comal County, TX
Guadalupe County, TX
Kendall County, TX
Medina County, TX
Wilson County, TX
41740....................... San Diego-Carlsbad-San Marcos, 1.2104
CA.
San Diego County, CA
41780....................... Sandusky, OH.................... 0.7821
Erie County, OH
41884....................... San Francisco-San Mateo-Redwood 1.6200
City, CA.
Marin County, CA
San Francisco County, CA
San Mateo County, CA
41900....................... San Germ[aacute]n-Cabo Rojo, PR. 0.4569
Cabo Rojo Municipio, PR
Lajas Municipio, PR
Sabana Grande Municipio, PR
San Germ[aacute]n Municipio, PR
41940....................... San Jose-Sunnyvale-Santa Clara, 1.6761
CA.
San Benito County, CA
Santa Clara County, CA
41980....................... San Juan-Caguas-Guaynabo, PR.... 0.4374
Aguas Buenas Municipio, PR
Aibonito Municipio, PR
Arecibo Municipio, PR
Barceloneta Municipio, PR
Barranquitas Municipio, PR
Bayam[oacute]n Municipio, PR
Caguas Municipio, PR
Camuy Municipio, PR
Can[oacute]vanas Municipio, PR
Carolina Municipio, PR
Cata[ntilde]o Municipio, PR
Cayey Municipio, PR
Ciales Municipio, PR
Cidra Municipio, PR
Comer[iacute]o Municipio, PR
Corozal Municipio, PR
Dorado Municipio, PR
Florida Municipio, PR
Guaynabo Municipio, PR
Gurabo Municipio, PR
Hatillo Municipio, PR
Humacao Municipio, PR
Juncos Municipio, PR
Las Piedras Municipio, PR
Lo[iacute]za Municipio, PR
Manat[iacute] Municipio, PR
Maunabo Municipio, PR
Morovis Municipio, PR
Naguabo Municipio, PR
Naranjito Municipio, PR
Orocovis Municipio, PR
Quebradillas Municipio, PR
R[iacute]o Grande Municipio, PR
San Juan Municipio, PR
San Lorenzo Municipio, PR
Toa Alta Municipio, PR
Toa Baja Municipio, PR
Trujillo Alto Municipio, PR
Vega Alta Municipio, PR
Vega Baja Municipio, PR
Yabucoa Municipio, PR
42020....................... San Luis Obispo-Paso Robles, CA. 1.3089
San Luis Obispo County, CA
42044....................... Santa Ana-Anaheim-Irvine, CA.... 1.2036
Orange County, CA
42060....................... Santa Barbara-Santa Maria- 1.3165
Goleta, CA.
Santa Barbara County, CA
42100....................... Santa Cruz-Watsonville, CA...... 1.7835
Santa Cruz County, CA
42140....................... Santa Fe, NM.................... 1.0179
Santa Fe County, NM
42220....................... Santa Rosa-Petaluma, CA......... 1.6743
Sonoma County, CA
42340....................... Savannah, GA.................... 0.8572
Bryan County, GA
Chatham County, GA
Effingham County, GA
42540....................... Scranton--Wilkes-Barre, PA...... 0.8283
Lackawanna County, PA
Luzerne County, PA
Wyoming County, PA
42644....................... Seattle-Bellevue-Everett, WA.... 1.1784
King County, WA
Snohomish County, WA
42680....................... Sebastian-Vero Beach, FL........ 0.8797
Indian River County, FL
43100....................... Sheboygan, WI................... 0.9242
Sheboygan County, WI
43300....................... Sherman-Denison, TX............. 0.8760
Grayson County, TX
43340....................... Shreveport-Bossier City, LA..... 0.8297
Bossier Parish, LA
Caddo Parish, LA
De Soto Parish, LA
43580....................... Sioux City, IA-NE-SD............ 0.9202
Woodbury County, IA
Dakota County, NE
Dixon County, NE
Union County, SD
43620....................... Sioux Falls, SD................. 0.8310
Lincoln County, SD
McCook County, SD
Minnehaha County, SD
Turner County, SD
43780....................... South Bend-Mishawaka, IN-MI..... 0.9465
St. Joseph County, IN
Cass County, MI
43900....................... Spartanburg, SC................. 0.8797
Spartanburg County, SC
44060....................... Spokane, WA..................... 1.1221
Spokane County, WA
44100....................... Springfield, IL................. 0.9204
Menard County, IL
Sangamon County, IL
44140....................... Springfield, MA................. 1.0422
Franklin County, MA
Hampden County, MA
Hampshire County, MA
44180....................... Springfield, MO................. 0.8476
Christian County, MO
Dallas County, MO
Greene County, MO
Polk County, MO
Webster County, MO
44220....................... Springfield, OH................. 0.8483
Clark County, OH
44300....................... State College, PA............... 0.9615
Centre County, PA
[[Page 26479]]
44600....................... Steubenville-Weirton, OH-WV..... 0.7415
Jefferson County, OH
Brooke County, WV
Hancock County, WV
44700....................... Stockton, CA.................... 1.3792
San Joaquin County, CA
44940....................... Sumter, SC...................... 0.7626
Sumter County, SC
45060....................... Syracuse, NY.................... 0.9937
Madison County, NY
Onondaga County, NY
Oswego County, NY
45104....................... Tacoma, WA...................... 1.1623
Pierce County, WA
45220....................... Tallahassee, FL................. 0.8602
Gadsden County, FL
Jefferson County, FL
Leon County, FL
Wakulla County, FL
45300....................... Tampa-St. Petersburg-Clearwater, 0.9114
FL.
Hernando County, FL
Hillsborough County, FL
Pasco County, FL
Pinellas County, FL
45460....................... Terre Haute, IN................. 0.9747
Clay County, IN
Sullivan County, IN
Vermillion County, IN
Vigo County, IN
45500....................... Texarkana, TX-Texarkana, AR..... 0.7459
Miller County, AR
Bowie County, TX
45780....................... Toledo, OH...................... 0.8854
Fulton County, OH
Lucas County, OH
Ottawa County, OH
Wood County, OH
45820....................... Topeka, KS...................... 0.9012
Jackson County, KS
Jefferson County, KS
Osage County, KS
Shawnee County, KS
Wabaunsee County, KS
45940....................... Trenton-Ewing, NJ............... 1.0622
Mercer County, NJ
46060....................... Tucson, AZ...................... 0.8991
Pima County, AZ
46140....................... Tulsa, OK....................... 0.8179
Creek County, OK
Okmulgee County, OK
Osage County, OK
Pawnee County, OK
Rogers County, OK
Tulsa County, OK
Wagoner County, OK
46220....................... Tuscaloosa, AL.................. 0.8498
Greene County, AL
Hale County, AL
Tuscaloosa County, AL
46340....................... Tyler, TX....................... 0.8562
Smith County, TX
46540....................... Utica-Rome, NY.................. 0.8806
Herkimer County, NY
Oneida County, NY
46660....................... Valdosta, GA.................... 0.7558
Brooks County, GA
Echols County, GA
Lanier County, GA
Lowndes County, GA
46700....................... Vallejo-Fairfield, CA........... 1.6355
Solano County, CA
47020....................... Victoria, TX.................... 0.8986
Calhoun County, TX
Goliad County, TX
Victoria County, TX
47220....................... Vineland-Millville-Bridgeton, NJ 1.0674
Cumberland County, NJ
47260....................... Virginia Beach-Norfolk-Newport 0.8928
News, VA-NC.
Currituck County, NC
Gloucester County, VA
Isle of Wight County, VA
James City County, VA
Mathews County, VA
Surry County, VA
York County, VA
Chesapeake City, VA
Hampton City, VA
Newport News City, VA
Norfolk City, VA
Poquoson City, VA
Portsmouth City, VA
Suffolk City, VA
Virginia Beach City, VA
Williamsburg City, VA
47300....................... Visalia-Porterville, CA......... 0.9989
Tulare County, CA
47380....................... Waco, TX........................ 0.8248
McLennan County, TX
47580....................... Warner Robins, GA............... 0.7718
Houston County, GA
47644....................... Warren-Troy-Farmington Hills, MI 0.9464
Lapeer County, MI
Livingston County, MI
Macomb County, MI
Oakland County, MI
St. Clair County, MI
47894....................... Washington-Arlington-Alexandria, 1.0570
DC-VA-MD-WV.
District of Columbia, DC
Calvert County, MD
Charles County, MD
Prince George's County, MD
Arlington County, VA
Clarke County, VA
Fairfax County, VA
Fauquier County, VA
Loudoun County, VA
Prince William County, VA
Spotsylvania County, VA
Stafford County, VA
Warren County, VA
Alexandria City, VA
Fairfax City, VA
Falls Church City, VA
Fredericksburg City, VA
Manassas City, VA
Manassas Park City, VA
Jefferson County, WV
47940....................... Waterloo-Cedar Falls, IA........ 0.8366
Black Hawk County, IA
Bremer County, IA
Grundy County, IA
48140....................... Wausau, WI...................... 0.8652
Marathon County, WI
48300....................... Wenatchee-East Wenatchee, WA.... 1.0151
Chelan County, WA
Douglas County, WA
48424....................... West Palm Beach-Boca Raton- 0.9637
Boynton Beach, FL.
Palm Beach County, FL
48540....................... Wheeling, WV-OH................. 0.6702
Belmont County, OH
Marshall County, WV
Ohio County, WV
48620....................... Wichita, KS..................... 0.8710
Butler County, KS
Harvey County, KS
Sedgwick County, KS
Sumner County, KS
48660....................... Wichita Falls, TX............... 0.9578
Archer County, TX
Clay County, TX
Wichita County, TX
48700....................... Williamsport, PA................ 0.8303
Lycoming County, PA
48864....................... Wilmington, DE-MD-NJ............ 1.0632
New Castle County, DE
Cecil County, MD
Salem County, NJ
48900....................... Wilmington, NC.................. 0.8900
Brunswick County, NC
New Hanover County, NC
Pender County, NC
49020....................... Winchester, VA-WV............... 0.9072
Frederick County, VA
Winchester City, VA
Hampshire County, WV
49180....................... Winston-Salem, NC............... 0.8373
Davie County, NC
Forsyth County, NC
Stokes County, NC
Yadkin County, NC
49340....................... Worcester, MA................... 1.1632
Worcester County, MA
49420....................... Yakima, WA...................... 1.0399
Yakima County, WA
49500....................... Yauco, PR....................... 0.3798
Gu[aacute]nica Municipio, PR
Guayanilla Municipio, PR
Pe[ntilde]uelas Municipio, PR
Yauco Municipio, PR
49620....................... York-Hanover, PA................ 0.9580
York County, PA
49660....................... Youngstown-Warren-Boardman, OH- 0.8406
PA.
Mahoning County, OH
Trumbull County, OH
Mercer County, PA
49700....................... Yuba City, CA \1\............... 1.1809
Sutter County, CA
Yuba County, CA
[[Page 26480]]
49740....................... Yuma, AZ........................ 0.9715
Yuma County, AZ
------------------------------------------------------------------------
\1\ At this time, there are no hospitals located in this urban area on
which to base a wage index.
Table B--FY 2014 Wage Index Based on CBSA Labor Market Areas for Rural
Areas
------------------------------------------------------------------------
Wage
State code Nonurban area index
------------------------------------------------------------------------
1.......................... Alabama......................... 0.7175
2.......................... Alaska.......................... 1.3720
3.......................... Arizona......................... 0.9205
4.......................... Arkansas........................ 0.7374
5.......................... California...................... 1.2697
6.......................... Colorado........................ 0.9844
7.......................... Connecticut..................... 1.1356
8.......................... Delaware........................ 1.0116
10......................... Florida......................... 0.8009
11......................... Georgia......................... 0.7482
12......................... Hawaii.......................... 0.9919
13......................... Idaho........................... 0.7637
14......................... Illinois........................ 0.8392
15......................... Indiana......................... 0.8547
16......................... Iowa............................ 0.8470
17......................... Kansas.......................... 0.7963
18......................... Kentucky........................ 0.7726
19......................... Louisiana....................... 0.7610
20......................... Maine........................... 0.8273
21......................... Maryland........................ 0.8733
22......................... Massachusetts................... 1.3671
23......................... Michigan........................ 0.8308
24......................... Minnesota....................... 0.9140
25......................... Mississippi..................... 0.7610
26......................... Missouri........................ 0.7780
27......................... Montana......................... 0.9136
28......................... Nebraska........................ 0.8893
29......................... Nevada.......................... 0.9822
30......................... New Hampshire................... 1.0381
31......................... New Jersey \1\.................. .........
32......................... New Mexico...................... 0.8843
33......................... New York........................ 0.8235
34......................... North Carolina.................. 0.8118
35......................... North Dakota.................... 0.6814
36......................... Ohio............................ 0.8281
37......................... Oklahoma........................ 0.7712
38......................... Oregon.......................... 0.9437
39......................... Pennsylvania.................... 0.8350
40......................... Puerto Rico \1\................. 0.4047
41......................... Rhode Island \1\................ .........
42......................... South Carolina.................. 0.8337
43......................... South Dakota.................... 0.8199
44......................... Tennessee....................... 0.7458
45......................... Texas........................... 0.7889
46......................... Utah............................ 0.8769
47......................... Vermont......................... 0.9782
48......................... Virgin Islands.................. 0.7089
49......................... Virginia........................ 0.7802
50......................... Washington...................... 1.0574
51......................... West Virginia................... 0.7398
52......................... Wisconsin....................... 0.8934
53......................... Wyoming......................... 0.9280
65......................... Guam............................ 0.9611
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\1\ All counties within the State are classified as urban, with the
exception of Puerto Rico. Puerto Rico has areas designated as rural;
however, no short-term, acute care hospitals are located in the
area(s) for FY 2014. The Puerto Rico wage index is the same as FY
2013.
[FR Doc. 2013-10558 Filed 5-1-13; 4:15 pm]
BILLING CODE 4120-01-P