Rule2022-16457

Medicare Program; Prospective Payment System and Consolidated Billing for Skilled Nursing Facilities; Updates to the Quality Reporting Program and Value-Based Purchasing Program for Federal Fiscal Year 2023; Changes to the Requirements for the Director of Food and Nutrition Services and Physical Environment Requirements in Long-Term Care Facilities

Primary source

Metadata and text below are from the Federal Register, a public-domain U.S. government work. Always verify the official published version before relying on it for any legal matter.

Published
August 3, 2022
Effective
October 1, 2022

Issuing agencies

Health and Human Services DepartmentCenters for Medicare & Medicaid Services

Abstract

This final rule updates payment rates; forecast error adjustments; diagnosis code mappings; the Patient Driven Payment Model (PDPM) parity adjustment; the SNF Quality Reporting Program (QRP); and the SNF Value-Based Purchasing (VBP) Program. It also establishes a permanent cap policy to smooth the impact of year-to-year changes in SNF payments related to changes in the SNF wage index. We also announce the application of a risk adjustment for the SNF Readmission Measure for COVID-19 beginning in FY 2023. We are finalizing changes to the long-term care facility fire safety provisions referencing the National Fire Protection Association (NFPA)[supreg] Life Safety Code, and Director of Food and Nutrition Services requirements.

Full Text

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<title>Federal Register, Volume 87 Issue 148 (Wednesday, August 3, 2022)</title>
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[Federal Register Volume 87, Number 148 (Wednesday, August 3, 2022)]
[Rules and Regulations]
[Pages 47502-47619]
From the Federal Register Online via the Government Publishing Office [<a href="http://www.gpo.gov">www.gpo.gov</a>]
[FR Doc No: 2022-16457]



[[Page 47501]]

Vol. 87

Wednesday,

No. 148

August 3, 2022

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 483





Medicare Program; Prospective Payment System and Consolidated Billing 
for Skilled Nursing Facilities; Updates to the Quality Reporting 
Program and Value-Based Purchasing Program for Federal Fiscal Year 
2023; Changes to the Requirements for the Director of Food and 
Nutrition Services and Physical Environment Requirements in Long-Term 
Care Facilities; Final Rule

Federal Register / Vol. 87, No. 148 / Wednesday, August 3, 2022 / 
Rules and Regulations

[[Page 47502]]


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DEPARTMENT OF HEALTH AND HUMAN SERVICES

Centers for Medicare & Medicaid Services

42 CFR Parts 413 and 483

[CMS-1765-F and CMS-3347-F]
RIN 0938-AU76 and 0938-AT36


Medicare Program; Prospective Payment System and Consolidated 
Billing for Skilled Nursing Facilities; Updates to the Quality 
Reporting Program and Value-Based Purchasing Program for Federal Fiscal 
Year 2023; Changes to the Requirements for the Director of Food and 
Nutrition Services and Physical Environment Requirements in Long-Term 
Care Facilities

AGENCY: Centers for Medicare & Medicaid Services (CMS), Department of 
Health and Human Services (HHS).

ACTION: Final rule.

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SUMMARY: This final rule updates payment rates; forecast error 
adjustments; diagnosis code mappings; the Patient Driven Payment Model 
(PDPM) parity adjustment; the SNF Quality Reporting Program (QRP); and 
the SNF Value-Based Purchasing (VBP) Program. It also establishes a 
permanent cap policy to smooth the impact of year-to-year changes in 
SNF payments related to changes in the SNF wage index. We also announce 
the application of a risk adjustment for the SNF Readmission Measure 
for COVID-19 beginning in FY 2023. We are finalizing changes to the 
long-term care facility fire safety provisions referencing the National 
Fire Protection Association (NFPA)[supreg] Life Safety Code, and 
Director of Food and Nutrition Services requirements.

DATES: These regulations are effective on October 1, 2022.

FOR FURTHER INFORMATION CONTACT: <a href="/cdn-cgi/l/email-protection#cf9f8b9f828faca2bce1a7a7bce1a8a0b9"><span class="__cf_email__" data-cfemail="a5f5e1f5e8e5c6c8d68bcdcdd68bc2cad3">[email&#160;protected]</span></a> for issues related to 
the SNF PPS.
    Heidi Magladry, (410) 786-6034, for information related to the 
skilled nursing facility quality reporting program.
    Alexandre Laberge, (410) 786-8625, for information related to the 
skilled nursing facility value-based purchasing program.
    Kristin Shifflett, <a href="/cdn-cgi/l/email-protection#a6edd4cfd5d2cfc888d5cecfc0c0cac3d2d2e6c5cbd588ceced588c1c9d0"><span class="__cf_email__" data-cfemail="94dfe6fde7e0fdfabae7fcfdf2f2f8f1e0e0d4f7f9e7bafcfce7baf3fbe2">[email&#160;protected]</span></a>, and Cameron 
Ingram, <a href="/cdn-cgi/l/email-protection#b0f3d1ddd5c2dfde9ed9ded7c2d1ddf0d3ddc39ed8d8c39ed7dfc6"><span class="__cf_email__" data-cfemail="0340626e66716c6d2d6a6d6471626e43606e702d6b6b702d646c75">[email&#160;protected]</span></a>, for information related to the LTC 
requirements for participation.

SUPPLEMENTARY INFORMATION: 

Availability of Certain Tables Exclusively Through the Internet on the 
CMS Website

    As discussed in the FY 2014 SNF PPS final rule (78 FR 47936), 
tables setting forth the Wage Index for Urban Areas Based on CBSA Labor 
Market Areas and the Wage Index Based on CBSA Labor Market Areas for 
Rural Areas are no longer published in the Federal Register. Instead, 
these tables are available exclusively through the internet on the CMS 
website. The wage index tables for this final rule can be accessed on 
the SNF PPS Wage Index home page, at <a href="https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/WageIndex.html">https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/WageIndex.html</a>.
    Readers who experience any problems accessing any of these online 
SNF PPS wage index tables should contact Kia Burwell at (410) 786-7816.
    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
    D. Advancing Health Information Exchange
II. Background on SNF PPS
    A. Statutory Basis and Scope
    B. Initial Transition for the SNF PPS
    C. Required Annual Rate Updates
III. Analysis and Responses to Public Comments on the FY 2023 SNF 
PPS Proposed Rule
    A. General Comments on the FY 2023 SNF PPS Proposed Rule
IV. SNF PPS Rate Setting Methodology and FY 2023 Update
    A. Federal Base Rates
    B. SNF Market Basket Update
    C. Case-Mix Adjustment
    D. Wage Index Adjustment
    E. SNF Value-Based Purchasing Program
    F. Adjusted Rate Computation Example
V. Additional Aspects of the SNF PPS
    A. SNF Level of Care--Administrative Presumption
    B. Consolidated Billing
    C. Payment for SNF-Level Swing-Bed Services
    D. Revisions to the Regulation Text
VI. Other SNF PPS Issues
    A. Permanent Cap on Wage Index Decreases
    B. Technical Updates to PDPM ICD-10 Mappings
    C. Recalibrating the PDPM Parity Adjustment
    D. Request for Information: Infection Isolation
VII. Skilled Nursing Facility Quality Reporting Program (SNF QRP)
    A. Background and Statutory Authority
    B. General Considerations Used for the Selection of Measures for 
the SNF QRP
    C. SNF QRP Quality Measure Beginning With the FY 2025 SNF QRP
    D. SNF QRP Quality Measures Under Consideration for Future 
Years: Request for Information (RFI)
    E. Overarching Principles for Measuring Equity and Healthcare 
Quality Disparities across CMS Quality Programs--Request for 
Information (RFI)
    F. Inclusion of the CoreQ: Short Stay Discharge Measure in a 
Future SNF QRP Program Year--Request for Information (RFI)
    G. Form, Manner, and Timing of Data Submission Under the SNF QRP
    H. Policies Regarding Public Display of Measure Data for the SNF 
QRP
VIII. Skilled Nursing Facility Value-Based Purchasing Program (SNF 
VBP)
    A. Statutory Background
    B. SNF VBP Program Measures
    C. SNF VBP Performance Period and Baseline Period
    D. Performance Standards
    E. SNF VBP Performance Scoring
    F. Adoption of a Validation Process for the SNF VBP Program 
Beginning With the FY 2023 Program Year
    G. SNF Value-Based Incentive Payments for FY 2023
    H. Public Reporting on the Provider Data Catalog website
    I. Requests for Comment Related to Future SNF VBP Program 
Expansion Policies
IX. Changes to the Requirements for the Director of Food and 
Nutrition Services and Physical Environment Requirements in Long-
Term (LTC) Facilities and Summary of Public Comments and Responses 
to the Request for Information on Revising the Requirements for 
Long-Term Care Facilities to Establish Mandatory Minimum Staffing 
Levels
X. Collection of Information Requirements
XI. Economic Analyses
    A. Regulatory Impact Analysis
    B. Regulatory Flexibility Act Analysis
    C. Unfunded Mandates Reform Act Analysis
    D. Federalism Analysis
    E. Regulatory Review Costs

I. Executive Summary

A. Purpose

    This final rule updates the SNF prospective payment rates for 
fiscal year (FY) 2023, as required under section 1888(e)(4)(E) of the 
Social Security Act (the Act). It also responds to section 
1888(e)(4)(H) of the Act, which requires the Secretary to provide for 
publication of certain specified information relating to the payment 
update (see section II.C. of this final rule) in the Federal Register, 
before the August 1 that precedes the start of each FY. In addition, 
this final rule includes requirements for the Skilled Nursing Facility 
Quality Reporting Program (SNF QRP) and the Skilled Nursing Facility 
Value-Based Purchasing Program (SNF VBP), including adopting new 
quality measures for the SNF VBP Program and finalizing several updates 
to the Program's scoring methodology.

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The SNF QRP adopts one new measure to promote patient safety, begins 
collection of information which will improve the quality of care for 
all SNF patients, and revises associated regulation text. We are 
revising the qualification requirements for the Director of Food and 
Nutrition Services and revising requirements for life safety from fire 
for long-term care facilities that previously used the Fire Safety 
Evaluation System (FSES) to demonstrate compliance with provisions of 
the Life Safety Code (LSC).

B. Summary of Major Provisions

    In accordance with sections 1888(e)(4)(E)(ii)(IV) and (e)(5) of the 
Act, the Federal rates in this final rule will reflect an update to the 
rates that we published in the SNF PPS final rule for FY 2022 (86 FR 
42424, August 4, 2021). In addition, the final rule includes a forecast 
error adjustment for FY 2023, updates to the diagnosis code mappings 
used under the Patient Driven Payment Model (PDPM), and includes a 
recalibration of the PDPM parity adjustment. This final rule also 
establishes a permanent cap policy to smooth the impact of year-to-year 
changes in SNF payments related to changes in the SNF wage index.
    This final rule finalizes requirements for the SNF QRP, including 
the adoption of one new measure beginning with the FY 2024 SNF QRP: the 
Influenza Vaccination Coverage among Healthcare Personnel (HCP) (NQF 
#0431) measure. We are also revising the compliance date for the 
Transfer of Health Information measures and certain standardized 
patient assessment data elements. In addition, we are revising 
regulation text that pertains to data submission requirements for the 
SNF QRP.
    We are also finalizing several updates for the SNF VBP Program, 
including a policy to suppress the Skilled Nursing Facility 30-Day All-
Cause Readmission Measure (SNFRM) for the FY 2023 SNF VBP Program Year 
for scoring and payment adjustment purposes. We are also adding two new 
measures to the SNF VBP Program beginning with the FY 2026 SNF VBP 
program year and one new measure beginning with the FY 2027 program 
year. We are also finalizing several updates to the scoring methodology 
beginning with the FY 2026 program year. We are also revising our 
regulation text in accordance with our proposals.
    In addition, we are finalizing LTC facilities LSC changes in Sec.  
483.90(a) to allow older exiting facilities to continue to use the 2001 
FSES mandatory values when determining compliance for containment, 
extinguishment, and people movement requirements as set out in the LSC. 
Older facilities who may not meet the FSES requirements previously used 
the 2000 LSC FSES will be allowed to remain in compliance with the 
older FSES without incurring substantial expenses to change their 
construction types, while maintaining resident and staff safety.
    Additionally, we are finalizing changes to the requirements for the 
Director of Food and Nutrition Services in LTC facilities in Sec.  
483.60. We are revising the required qualifications for a director of 
food and nutrition services to provide that those with several years of 
experience performing as the director of food and nutrition services in 
a facility can continue to do so. Specifically, we have added to the 
current requirements that individuals with 2 or more years of 
experience in the position of a director of food and nutrition services 
and who have also completed a minimum course of study in food safety 
that includes topics integral to managing dietary operations (such as, 
but not limited to: foodborne illness, sanitation procedures, food 
purchasing/receiving, etc.) can continue to qualify as a director of 
food and nutrition services. This will help address concerns related to 
costs associated with training for existing staff and the potential 
need to hire new staff.

C. Summary of Cost and Benefits
[GRAPHIC] [TIFF OMITTED] TR03AU22.001

D. Advancing Health Information Exchange

    The Department of Health and Human Services (HHS) has a number of 
initiatives designed to encourage and support the adoption of 
interoperable health information technology and to promote nationwide 
health information exchange to improve health care and patient access 
to their digital health information.
    To further interoperability in post-acute care settings, CMS and 
the Office of the National Coordinator for Health Information 
Technology (ONC) participate in the Post-Acute Care Interoperability 
Workgroup (PACIO) to facilitate collaboration with interested parties 
to develop Health Level Seven International[supreg] (HL7) Fast 
Healthcare Interoperability Resource[supreg] (FHIR) standards. These 
standards could support the exchange and reuse of patient assessment 
data derived from the post-acute care (PAC) setting assessment tools, 
such as the minimum data set (MDS), inpatient rehabilitation facility -
patient assessment instrument (IRF-PAI), Long-Term Care Hospital (LTCH) 
continuity assessment record and evaluation (CARE) Data Set (LCDS), 
outcome and assessment information set (OASIS), and other 
sources.<SUP>1 2</SUP> The PACIO Project has focused on HL7 FHIR 
implementation guides for: functional status, cognitive status and new 
use cases on advance directives, re-assessment timepoints, and Speech, 
language, swallowing, cognitive communication and hearing (SPLASCH) 
pathology.\3\ We encourage PAC provider

[[Page 47504]]

and health IT vendor participation as the efforts advance.
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    \1\ HL7 FHIR Release 4. Available at <a href="https://www.hl7.org/fhir/">https://www.hl7.org/fhir/</a>.
    \2\ HL7 FHIR. PACIO Functional Status Implementation Guide. 
Available at <a href="https://paciowg.github.io/functional-status-ig/">https://paciowg.github.io/functional-status-ig/</a>.
    \3\ PACIO Project. Available at <a href="http://pacioproject.org/about/">http://pacioproject.org/about/</a>.
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    The CMS Data Element Library (DEL) continues to be updated and 
serves as a resource for PAC assessment data elements and their 
associated mappings to health IT standards such as Logical Observation 
Identifiers Names and Codes (LOINC) and Systematized Nomenclature of 
Medicine Clinical Terms (SNOMED).\4\ The DEL furthers CMS' goal of data 
standardization and interoperability. Standards in the DEL can be 
referenced on the CMS website and in the ONC Interoperability Standards 
Advisory (ISA). The 2022 ISA is available at <a href="https://www.healthit.gov/isa/sites/isa/files/inline-files/2022-ISA-Reference-Edition.pdf">https://www.healthit.gov/isa/sites/isa/files/inline-files/2022-ISA-Reference-Edition.pdf</a>.
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    \4\ Centers for Medicare & Medicaid Services. Newsroom. Fact 
sheet: CMS Data Element Library Fact Sheet. June 21, 2018. Available 
at <a href="https://www.cms.gov/newsroom/fact-sheets/cms-data-element-library-fact-sheet">https://www.cms.gov/newsroom/fact-sheets/cms-data-element-library-fact-sheet</a>.
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    The 21st Century Cures Act (Cures Act) (Pub. L. 114-255, enacted 
December 13, 2016) required HHS and ONC to take steps to promote 
adoption and use of electronic health record (EHR) technology.\5\ 
Specifically, section 4003(b) of the Cures Act required ONC to take 
steps to advance interoperability through the development of a Trusted 
Exchange Framework and Common Agreement aimed at establishing full 
network-to network exchange of health information nationally. On 
January 18, 2022, ONC announced a significant milestone by releasing 
the Trusted Exchange Framework \6\ and Common Agreement Version 1.\7\ 
The Trusted Exchange Framework is a set of non-binding principles for 
health information exchange, and the Common Agreement is a contract 
that advances those principles. The Common Agreement and the Qualified 
Health Information Network Technical Framework Version 1 (incorporated 
by reference into the Common Agreement) establish the technical 
infrastructure model and governing approach for different health 
information networks and their users to securely share clinical 
information with each other, all under commonly agreed to terms. The 
technical and policy architecture of how exchange occurs under the 
Common Agreement follows a network-of-networks structure, which allows 
for connections at different levels and is inclusive of many different 
types of entities at those different levels, such as health information 
networks, healthcare practices, hospitals, public health agencies, and 
Individual Access Services (IAS) Providers.\8\ For more information, we 
refer readers to <a href="https://www.healthit.gov/topic/interoperability/trusted-exchange-framework-and-common-agreement">https://www.healthit.gov/topic/interoperability/trusted-exchange-framework-and-common-agreement</a>.
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    \5\ Sections 4001 through 4008 of Public Law 114-255. Available 
at <a href="https://www.govinfo.gov/content/pkg/PLAW-114publ255/html/PLAW-114publ255.htm">https://www.govinfo.gov/content/pkg/PLAW-114publ255/html/PLAW-114publ255.htm</a>.
    \6\ The Trusted Exchange Framework (TEF): Principles for Trusted 
Exchange (Jan. 2022). Available at <a href="https://www.healthit.gov/sites/default/files/page/2022-01/Trusted_Exchange_Framework_0122.pdf">https://www.healthit.gov/sites/default/files/page/2022-01/Trusted_Exchange_Framework_0122.pdf</a>.
    \7\ Common Agreement for Nationwide Health Information 
Interoperability Version 1 (Jan. 2022). Available at <a href="https://www.healthit.gov/sites/default/files/page/2022-01/Common_Agreement_for_Nationwide_Health_Information_Interoperability_Version_1.pdf">https://www.healthit.gov/sites/default/files/page/2022-01/Common_Agreement_for_Nationwide_Health_Information_Interoperability_Version_1.pdf</a>.
    \8\ The Common Agreement defines Individual Access Services 
(IAS) as ``with respect to the Exchange Purposes definition, the 
services provided utilizing the Connectivity Services, to the extent 
consistent with Applicable Law, to an Individual with whom the QHIN, 
Participant, or Subparticipant has a Direct Relationship to satisfy 
that Individual's ability to access, inspect, or obtain a copy of 
that Individual's Required Information that is then maintained by or 
for any QHIN, Participant, or Subparticipant.'' The Common Agreement 
defines ``IAS Provider'' as: ``Each QHIN, Participant, and 
Subparticipant that offers Individual Access Services.'' See Common 
Agreement for Nationwide Health Information Interoperability Version 
1, at 7 (Jan. 2022), <a href="https://www.healthit.gov/sites/default/files/page/2022-01/Common_Agreement_for_Nationwide_Health_Information_Interoperability_Version_1.pdf">https://www.healthit.gov/sites/default/files/page/2022-01/Common_Agreement_for_Nationwide_Health_Information_Interoperability_Version_1.pdf</a>.
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    We invited providers to learn more about these important 
developments and how they are likely to affect SNFs.
    Comment: We received one comment on the information provided in 
this section. The commenter expressed support for efforts across HHS to 
advance health information technology exchange and encouraged use of a 
standard set of data by providers and health IT vendors, including 
efforts through the PACIO project. The commenter also noted a recent 
National Academies report describing technology barriers for PAC 
settings due to not being eligible for previous incentives to purchase 
technology certified under the ONC Health IT Certification Program. The 
commenter supported recommendations in the report for HHS to pursue 
financial incentives for post-acute care settings to adopt certified 
health information technology in order to enable health information 
exchange.
    Response: We will take this comment into consideration as we 
coordinate with Federal partners, including ONC, on interoperability 
initiatives, and to inform future rulemaking.

II. Background on SNF PPS

A. Statutory Basis and Scope

    As amended by section 4432 of the Balanced Budget Act of 1997 (BBA 
1997) (Pub. L. 105-33, enacted 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 physicians' 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). In addition, a detailed 
discussion of the legislative history of the SNF PPS is available 
online at <a href="https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/Downloads/Legislative_History_2018-10-01.pdf">https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/Downloads/Legislative_History_2018-10-01.pdf</a>.
    Section 215(a) of the Protecting Access to Medicare Act of 2014 
(PAMA) (Pub. L. 113-93, enacted April 1, 2014) added section 1888(g) to 
the Act requiring the Secretary to specify an all-cause all-condition 
hospital readmission measure and an all-condition risk-adjusted 
potentially preventable hospital readmission measure for the SNF 
setting. Additionally, section 215(b) of PAMA added section 1888(h) to 
the Act requiring the Secretary to implement a VBP program for SNFs. 
Finally, section 2(c)(4) of the IMPACT Act amended section 1888(e)(6) 
of the Act, which requires the Secretary to implement a QRP for SNFs 
under which SNFs report data on measures and resident assessment data. 
Finally, section 111 of the Consolidated Appropriations Act, 2021 (CAA) 
updated section 1888(h) of the Act, authorizing the Secretary to apply 
up to nine additional measures to the VBP program for SNFs.

B. Initial Transition for the SNF PPS

    Under sections 1888(e)(1)(A) and (e)(11) of the Act, the SNF PPS 
included an initial, three-phase transition that blended a facility-
specific rate (reflecting the individual facility's historical cost 
experience) with the Federal case-mix adjusted rate. The transition 
extended through the facility's first 3 cost reporting periods

[[Page 47505]]

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 a 
final rule that set forth updates to the SNF PPS payment rates for FY 
2022 (86 FR 42424, August 4, 2021).
    Section 1888(e)(4)(H) of the Act specifies that we provide for 
publication annually in the Federal Register the following:
    <bullet> The unadjusted Federal per diem rates to be applied to 
days of covered SNF services furnished during the upcoming FY.
    <bullet> The case-mix classification system to be applied for these 
services during the upcoming FY.
    <bullet> The factors to be applied in making the area wage 
adjustment for these services.
    Along with other revisions discussed later in this preamble, this 
final rule provides the required annual updates to the per diem payment 
rates for SNFs for FY 2023.

III. Analysis and Responses to Public Comments on the FY 2023 SNF PPS 
Proposed Rule

    In response to the publication of the FY 2023 SNF PPS proposed 
rule, we received 6,970 public comments from individuals, providers, 
corporations, government agencies, private citizens, trade 
associations, and major organizations. The following are brief 
summaries of each proposed provision, a summary of the public comments 
that we received related to that proposal, and our responses to the 
comments.

A. General Comments on the FY 2023 SNF PPS Proposed Rule

    In addition to the comments we received on specific proposals 
contained within the proposed rule (which we address later in this 
final rule), commenters also submitted the following, more general, 
observations on the SNF PPS and SNF care generally. A discussion of 
these comments, along with our responses, appears below.
    Comment: Commenters submitted comments and recommendations that are 
outside the scope of the proposed rule addressing a number of different 
policies, including the Coronavirus disease 2019 (COVID-19) pandemic. 
This included comments on the flexibilities provided to SNFs during the 
PHE, specifically through the waivers issued under sections 1135 of the 
Act and coverage flexibility provided under section 1812(f) of the Act. 
Commenters also expressed concerns about the substantial additional 
costs due to the PHE that they were concerned would be permanent due to 
changes in patient care, infection control staff and equipment, 
personal protective equipment (PPE), reporting requirements, increased 
wages, increased food prices, and other necessary costs. Some 
commenters who received CARES Act Provider Relief funds indicated that 
those funds were not enough to cover these costs. Additionally, a few 
commenters from rural areas stated that their facilities were heavily 
impacted from the additional costs, particularly the need to raise 
wages, and that this could affect patients' access to care.
    Response: Because these comments are outside the scope of the 
current rulemaking, we are not addressing them in this final rule. We 
may take them under consideration in future rulemaking.
    Comment: We received a number of comments related to monitoring 
Medicare Advantage Organizations (MAOs). These commenters referred to a 
recent OIG report, which discussed how some MAOs have reportedly denied 
or delayed beneficiary access to SNF services. These commenters 
encouraged CMS to review the requirements and policies surrounding the 
payment and practices of MAOs.
    Response: Because these comments are outside the scope of the 
current rulemaking, we are not addressing them in this final rule. We 
may take them under consideration in future rulemaking.
    Comment: One commenter requested that we consider including 
recreational therapy time provided to SNF residents by recreational 
therapists as part of the calculation of the resident's RUG-IV therapy 
classification or as part of determining the number of restorative 
nursing services provided to the resident.
    Response: We appreciate the commenter raising this issue, but we do 
not believe there is sufficient evidence at this time regarding the 
efficacy of recreational therapy interventions or, more notably, data 
which would substantiate a determination of the effect on payment of 
such interventions, as such services were not considered separately, as 
were physical, occupational and speech-language pathology services, 
when RUG-IV was being developed. That is, we note that Medicare Part A 
originally paid for institutional care in various provider settings, 
including SNF, on a reasonable cost basis, but now makes payment using 
PPS methodologies, such as the SNF PPS. To the extent that one of these 
SNFs furnished recreational therapy to its inpatients under the 
previous, reasonable cost methodology, the cost of the services would 
have been included in the base payments when SNF PPS payment rates were 
derived. Under the PPS methodology, Part A makes a comprehensive 
payment for the bundled package of items and services that the facility 
furnishes during the course of a Medicare-covered stay. This package 
encompasses nearly all services that the beneficiary receives during 
the course of the stay--including any medically necessary recreational 
therapy--and payment for such services is included within the 
facility's comprehensive SNF PPS payment for the covered Part A stay 
itself.
    Comment: One commenter encouraged CMS to monitor the use of 
concurrent and group therapy under PDPM and identify any facilities 
that are consistently exceeding the established group and concurrent 
therapy limit. This commenter referred to reports by their members to 
disregard the established limit on these therapy modalities, as well as 
the impact of the PHE on the provision of group and concurrent therapy.
    Response: We continue to monitor all aspects of payment and service 
provision under PDPM. Should we discover any outliers in the provision 
of group and concurrent therapy that consistently exceed the 
established limit on these therapy modalities, we will refer such 
outliers for administrative action.

IV. SNF PPS Rate Setting Methodology and FY 2023 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

[[Page 47506]]

the SNF PPS, would be 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 1997 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. In the SNF 
PPS final rule for FY 2018 (82 FR 36548 through 36566), we rebased and 
revised the market basket index, which included updating the base year 
from FY 2010 to 2014. In the SNF PPS final rule for FY 2022 (86 FR 
42444 through 42463), we rebased and revised the market basket index, 
which included updating the base year from 2014 to 2018.
    The SNF market basket index is used to compute the market basket 
percentage change that is used to update the SNF Federal rates on an 
annual basis, as required by section 1888(e)(4)(E)(ii)(IV) of the Act. 
This market basket percentage update is adjusted by a forecast error 
correction, if applicable, and then further adjusted by the application 
of a productivity adjustment as required by section 1888(e)(5)(B)(ii) 
of the Act and described in section IV.B.4. of this final rule.
    As outlined in the proposed rule, we proposed a FY 2023 SNF market 
basket percentage of 2.8 percent based on IHS Global Inc.'s (IGI's) 
fourth quarter 2021 forecast of the 2018-based SNF market basket 
(before application of the forecast error adjustment and productivity 
adjustment). We also proposed that if more recent data subsequently 
became available (for example, a more recent estimate of the market 
basket and/or the productivity adjustment), we would use such data, if 
appropriate, to determine the FY 2023 SNF market basket percentage 
change, labor-related share relative importance, forecast error 
adjustment, or productivity adjustment in the SNF PPS final rule.
    Since the proposed rule, we have updated the FY 2023 market basket 
percentage increase based on IGI's second quarter 2022 forecast with 
historical data through the first quarter of 2022. The FY 2023 growth 
rate of the 2018-based SNF market basket is estimated to be 3.9 
percent.
    In section IV.B.5. of this final rule, we discussed the 2 percent 
reduction applied to the market basket update for those SNFs that fail 
to submit measures data as required by section 1888(e)(6)(A) of the 
Act.
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 outlined in this final rule, we use the percentage 
change in the SNF market basket index to compute the update factor for 
FY 2023. This factor is based on the FY 2023 percentage increase in the 
2018-based SNF market basket index reflecting routine, ancillary, and 
capital-related expenses. As stated previously, in the proposed rule, 
the SNF market basket percentage update was estimated to be 2.8 percent 
for FY 2023 based on IGI's fourth quarter 2021 forecast. For this final 
rule, based on IGI's second quarter 2022 forecast with historical data 
through the first quarter of 2022, the FY 2023 growth rate of the 2018-
based SNF market basket is estimated to be 3.9 percent.
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), Sec.  413.337(d)(2) provides 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), we adopted a 0.5 
percentage point threshold effective for FY 2008 and subsequent FYs. As 
we stated in the final rule for FY 2004 that first issued the market 
basket forecast error adjustment (68 FR 46058), the adjustment will 
reflect both upward and downward adjustments, as appropriate.
    For FY 2021 (the most recently available FY for which there is 
final data), the forecasted or estimated increase in the SNF market 
basket index was 2.2 percent, and the actual increase for FY 2021 is 
3.7 percent, resulting in the actual increase being 1.5 percentage 
point higher than the estimated increase. Accordingly, as the 
difference between the estimated and actual amount of change in the 
market basket index exceeds the 0.5 percentage point threshold, under 
the policy previously described (comparing the forecasted and actual 
increase in the market basket), the FY 2023 market basket percentage 
change of 3.9 percent would be adjusted upward to account for the 
forecast error correction of 1.5 percentage point, resulting in a SNF 
market basket percentage change of 5.1 percent after reducing the 
market basket update by the productivity adjustment of 0.3 percentage 
point, discussed later in this section of the preamble.
    Table 2 shows the forecasted and actual market basket increases for 
FY 2021.

[[Page 47507]]

[GRAPHIC] [TIFF OMITTED] TR03AU22.002

4. Productivity Adjustment
    Section 1888(e)(5)(B)(ii) of the Act, as added by section 3401(b) 
of the Patient Protection and Affordable Care Act (Affordable Care Act) 
(Pub. L. 111-148, enacted March 23, 2010) 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, in turn, defines the productivity adjustment to be equal to the 
10-year moving average of changes in annual economy-wide, private 
nonfarm business multifactor productivity (MFP) (as projected by the 
Secretary for the 10-year period ending with the applicable FY, year, 
cost-reporting period, or other annual period). The U.S. Department of 
Labor's Bureau of Labor Statistics (BLS) publishes the official measure 
of productivity for the U.S. We note that previously the productivity 
measure referenced in section 1886(b)(3)(B)(xi)(II) of the Act was 
published by BLS as private nonfarm business multifactor productivity. 
Beginning with the November 18, 2021 release of productivity data, BLS 
replaced the term multifactor productivity (MFP) with total factor 
productivity (TFP). BLS noted that this is a change in terminology only 
and will not affect the data or methodology. As a result of the BLS 
name change, the productivity measure referenced in section 
1886(b)(3)(B)(xi)(II) of the Act is now published by BLS as private 
nonfarm business total factor productivity. However, as mentioned 
previously in this section, the data and methods are unchanged. We 
refer readers to the BLS website at <a href="http://www.bls.gov">www.bls.gov</a> for the BLS historical 
published TFP data.
    A complete description of the TFP projection methodology is 
available on our website at <a href="https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/MedicareProgramRatesStats/MarketBasketResearch">https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/MedicareProgramRatesStats/MarketBasketResearch</a>. In addition, in the FY 
2022 SNF final rule (86 FR 42429) we noted that, effective with FY 2022 
and forward, we are changing the name of this adjustment to refer to it 
as the ``productivity adjustment,'' rather than the ``MFP adjustment.''
a. Incorporating the Productivity Adjustment Into the Market Basket 
Update
    Per section 1888(e)(5)(A) of the Act, the Secretary shall 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. 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) of the Act. Section 1888(e)(5)(B)(ii) of the Act 
further states that the reduction of the market basket percentage by 
the productivity adjustment may result in the market basket percentage 
being less than zero for a FY, and may result in payment rates under 
section 1888(e) of the Act being less than such payment rates for the 
preceding fiscal year. Thus, if the application of the productivity 
adjustment to the market basket percentage calculated under section 
1888(e)(5)(B)(i) of the Act results in a productivity-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.
    Based on the data available for the FY 2023 SNF PPS proposed rule, 
the proposed productivity adjustment (the 10-year moving average of 
changes in annual economy-wide private nonfarm business TFP for the 
period ending September 30, 2023) was projected to be 0.4 percentage 
point. However, for this final rule, based on IGI's second quarter 2022 
forecast, the estimated 10-year moving average of changes in annual 
economy-wide private nonfarm business TFP for the period ending 
September 30, 2023 is 0.3 percentage point.
    Consistent with section 1888(e)(5)(B)(i) of the Act and Sec.  
413.337(d)(2), as discussed previously, the market basket percentage 
for FY 2023 for the SNF PPS is based on IGI's second quarter 2022 
forecast of the SNF market basket percentage, which is estimated to be 
3.9 percent. This market basket percentage is then increased by 1.5 
percentage point, due to application of the forecast error adjustment 
discussed earlier in this section of the preamble. Finally, as 
discussed earlier in this section of the preamble, we are applying a 
0.3 percentage point productivity adjustment to the FY 2023 SNF market 
basket percentage. The resulting productivity-adjusted FY 2023 SNF 
market basket update is, therefore, equal to 5.1 percent, or 3.9 
percent plus 1.5 percentage point to account for forecast error and 
less 0.3 percentage point to account for the productivity adjustment.
5. Market Basket Update Factor for FY 2023
    Sections 1888(e)(4)(E)(ii)(IV) and (e)(5)(i) of the Act require 
that the update factor used to establish the FY 2023 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, 2021 through September 30, 
2022 to the average market basket level for the period of October 1, 
2022 through September 30, 2023. This process yields a percentage 
change in the 2018-based SNF market basket of 3.9 percent.
    As further explained in section IV.B.3. of this final rule, as 
applicable, we adjust the market basket percentage change 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 in absolute terms. Since the 
actual FY 2021 SNF market basket percentage change exceeded the 
forecasted FY 2021 SNF market basket percentage change (FY 2021 is the 
most recently available FY for which there is historical data) by

[[Page 47508]]

more than the 0.5 percentage point threshold, we are adjusting the FY 
2023 market basket percentage change upward by the forecast error 
correction. Applying the 1.5 percentage point forecast error correction 
results in an adjusted FY 2023 SNF market basket percentage change of 
5.4 percent (3.9 percent market basket update plus 1.5 percentage point 
forecast error adjustment).
    Section 1888(e)(5)(B)(ii) of the Act requires us to reduce the 
market basket percentage change by the productivity adjustment (10-year 
moving average of changes in annual economy-wide private nonfarm 
business TFP for the period ending September 30, 2023) which is 
estimated to be 0.3 percentage point, as described in section IV.B.4. 
of this final rule. Thus, we apply a net SNF market basket update 
factor of 5.1 percent in our determination of the FY 2023 SNF PPS 
unadjusted Federal per diem rates, which reflects a market basket 
increase factor of 3.9 percent, plus the 1.5 percentage point forecast 
error correction and less the 0.3 percentage point productivity 
adjustment.
    As outlined in the proposed rule, we noted that if more recent data 
became available (for example, a more recent estimate of the SNF market 
basket and/or productivity adjustment), we would use such data, if 
appropriate, to determine the FY 2023 SNF market basket percentage 
change, labor-related share relative importance, forecast error 
adjustment, or productivity adjustment in the FY 2023 SNF PPS final 
rule. Since more recent data did become available since the proposed 
rule, as outlined above, we have updated the various adjustment factors 
described through this section accordingly.
    We also noted that section 1888(e)(6)(A)(i) of the Act provides 
that, beginning with FY 2018, SNFs that fail to submit data, as 
applicable, in accordance with sections 1888(e)(6)(B)(i)(II) and (III) 
of the Act for a fiscal year will receive a 2.0 percentage point 
reduction to their market basket update for the fiscal year involved, 
after application of section 1888(e)(5)(B)(ii) of the Act (the 
productivity adjustment) and section 1888(e)(5)(B)(iii) of the Act (the 
1 percent market basket increase for FY 2018). In addition, section 
1888(e)(6)(A)(ii) of the Act states that application of the 2.0 
percentage point reduction (after application of section 
1888(e)(5)(B)(ii) and (iii) of the Act) may result in the market basket 
index percentage change being less than zero for a fiscal year, and may 
result in payment rates for a fiscal year being less than such payment 
rates for the preceding fiscal year. Section 1888(e)(6)(A)(iii) of the 
Act further specifies that the 2.0 percentage point reduction is 
applied in a noncumulative manner, so that any reduction made under 
section 1888(e)(6)(A)(i) of the Act applies only to the fiscal year 
involved, and that the reduction cannot be taken into account in 
computing the payment amount for a subsequent fiscal year.
    A discussion of the public comments received on the FY 2023 SNF 
market basket percentage increase to the SNF PPS rates, along with our 
responses, may be found below.
    Comment: One commenter supported and appreciated the proposed 
increase in Medicare rates as a result of the market basket and 
forecast error adjustment. Several commenters supported the increase 
and urged CMS to use the most recent economic data as it becomes 
available in finalizing the payment update to capture the significant 
cost increases and inflation being felt by the long-term care sector 
and across the economy. However, multiple commenters raised concerns 
about whether rising costs, and costs of labor, in particular, are 
being sufficiently accounted for in the SNF market basket. One 
commenter urged CMS to discuss in the final rule how the agency will 
account for these increased costs. One commenter shared that their 
State wage survey of nursing facilities, which is used to inform their 
Medicaid inflation adjustment each year, indicates a 14.8 percent 
increase in nursing compensation (a composite of employee and agency 
staff) from 2022 to 2023, along with non-nursing compensation growth of 
7.3 percent.
    Commenters were concerned that CMS' use of the historical 
Employment Cost Index (ECI) for Wages and Salaries for Private Industry 
Workers in Nursing Care Facilities to measure the price growth of wages 
and salaries may not be accurately capturing employment costs in 
nursing homes, or otherwise not in a timely manner. They stated that 
the quarterly updates of the price proxies do not address changes in 
staffing levels, changes in the occupational mix, increases in the use 
of contract labor or travel nurses, or other drivers of wage rate 
growth such as labor market tightness and consumer inflation.
    One commenter calculated notable differences in Medicare Cost 
Report Direct Care Wage Data and the labor component of market basket 
updates, which they estimated to be about 6 percent between 1998 and 
2021. The commenter suggested spreading an adjustment for this 
difference into the update equally over a 2 to 3-year period. In 
addition, they requested that CMS develop a methodology to account for 
rapidly escalating labor costs in a more timely fashion than the 
current price proxy calculation method captures. The commenter also 
noted faster growth of the BLS Current Employment Statistics (CES) 
average hourly earnings (AHE) series for Production and Non-Supervisory 
Nursing care facility employees (without seasonality adjustment), 
compared to the ECI for Wages and Salaries for Private Industry Workers 
in Nursing Care Facilities.
    One commenter requested that CMS provide a labor-related market 
basket price add-on due to workforce shortages and other challenges not 
addressed by the current market basket methodology.
    Response: We recognize the challenges facing SNFs in operating 
during a high inflationary environment. Due to SNF payments under PPS 
being set prospectively, we rely on a projection of the SNF market 
basket that reflects both recent historical trends, as well as forecast 
expectations over the next roughly 18 months. The forecast error for a 
market basket update is calculated as the actual market basket increase 
for a given year, less the forecasted market basket increase. Due to 
the uncertainty regarding future price trends, forecast errors can be 
both positive and negative. We are confident that the forecast error 
adjustments built into the SNF market basket update factor will account 
for these discrepancies over time.
    In the FY 2023 SNF PPS proposed rule, we proposed a 2018-based SNF 
market basket increase of 2.8 percent based on IGI's fourth quarter 
2021 forecast with historical data through third quarter 2021. For this 
final rule, based on IGI's second quarter 2022 forecast with historical 
data through first quarter 2022 we are finalizing a 2018-based SNF 
market basket increase of 3.9 percent, which is the highest market 
basket update we have implemented in a final rule since the beginning 
of the SNF PPS. The 3.9-percent increase reflects forecasted 
compensation price growth of 4.2 percent (which is approximately 2 
percentage points higher than the 10-year historical average price 
growth for compensation), reflecting increased wage pressures due to 
various economic and industry-specific factors. Additionally, the FY 
2023 productivity-adjusted SNF market basket update of 3.6 percent (3.9 
percent less 0.3 percentage point) will be increased by the FY 2021 
forecast error adjustment of 1.5 percentage point for a total FY 2023 
update of 5.1 percent (3.6 percent plus 1.5 percentage points). A 
forecast error

[[Page 47509]]

for FY 2022 cannot be calculated until historical data through third 
quarter 2022 are available; if there is a FY 2022 forecast error and a 
similar update approach is used for FY 2024, then a forecast error 
adjustment would be applied to the FY 2024 SNF PPS payment update.
    Section 1888(e)(5)(A) of the Act states 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. The 
2018-based SNF market basket is a fixed-weight, Laspeyres-type price 
index that measures the change in price, over time, of the same mix of 
goods and services purchased in the base period. Any changes in the 
quantity or mix of goods and services (that is, intensity) purchased 
over time relative to a base period are not measured. For the 
compensation cost weight in the 2018-based SNF market basket (which 
includes salaried and contract labor employees), we use the ECI for 
wages and salaries and benefits for nursing care facilities to proxy 
the price increase of SNF labor. The ECI (published by the BLS) 
measures the change in the hourly labor cost to employers, independent 
of the influence of employment shifts among occupations and industry 
categories. Therefore, we believe the ECI for nursing care facilities, 
which only reflects the price change associated with the labor used to 
provide SNF care and appropriately does not reflect other factors that 
might affect labor costs, is an appropriate measure to use in the SNF 
market basket.
    We acknowledge the commenters' concerns regarding the ECI being 
based on 2012 occupational distribution. Our analysis of the 2021 BLS 
Occupational Employment Statistics data, the most recent data available 
(published at <a href="https://www.bls.gov/oes/">https://www.bls.gov/oes/</a>), shows that the salary 
(estimated as the product of employment and average annual salary) 
distribution by occupation for skilled nursing care facilities (NAICS 
6231) is similar to the BLS OES data for 2012. Specifically, we found 
that the healthcare occupational distribution among the major 
occupations--registered nurses (16 percent in 2021), licensed practical 
and vocational nurses (16 percent), nursing assistants (25 percent), 
and therapists (4 percent)--were notably similar between 2012 and 2021. 
Additionally, we found the split between healthcare (70 percent in 
2021) and nonhealthcare (30 percent) salaries by occupation to be 
virtually unchanged.
    We also recognize the commenters' concerns regarding the need for 
increased reliance on the use of contract labor and travel nurses due 
to the overall tightness in the labor market and the more specific 
labor constraints of healthcare staff in particular. The compensation 
cost weight of the SNF market basket includes expenses for wages and 
salaries, employee benefits, and contract labor, with the contract 
labor expenses apportioned to the Wages and Salaries and Employee 
Benefits cost category weights. We analyzed the 2020 Medicare Cost 
Report (MCR) data and found the Compensation cost weight decreased 
slightly from 60.2 percent in 2018 to 59.8 percent in 2020. This was 
due to a decrease in the Contract Labor cost weight from 7.5 percent in 
2018 to 6.8 percent in 2020 offset by a 0.3 percentage point increase 
in employed wages and salaries and benefits combined. Our analysis 
found that while there was an increase in the contract nursing staff 
hours, there was an offsetting decrease in the use of contract therapy 
staff hours. We will continue to analyze the MCR data, including the 
2021 data when available, and assess the appropriateness of rebasing 
and revising the SNF market basket. Any rebasing or revising of the SNF 
market basket, if deemed necessary, would be proposed in future 
rulemaking and subject to public comments.
    Regarding commenters' request that CMS consider other methods and 
data sources to calculate the final rule market basket update by 
exercising administrative authority, we note that we did not propose to 
use other methods or data sources to calculate the final market basket 
update for FY 2023, and therefore, we are not finalizing such an 
approach for this final rule. Further, while the Secretary has the 
discretion under the statute to establish the methodology for 
determining the appropriate mix of goods and services that comprise the 
SNF market basket, the statute requires the SNF PPS payment rates to be 
annually updated by the SNF market basket percentage change. As 
discussed in section IV.B.1. of this final rule, the market basket used 
to update SNF PPS payments has been rebased and revised over the 
history of the SNF PPS to reflect more recent data on SNF cost 
structures, and we believe it continues to appropriately reflect SNF 
cost structures. Consistent with our proposal, we have used more recent 
data to calculate a final SNF market basket update of 5.1 percent for 
FY 2023. Additionally, MedPAC did a full analysis of payment adequacy 
for SNF providers in its March 2022 Report to Congress (<a href="https://www.medpac.gov/wp-content/uploads/2022/03/Mar22_MedPAC_ReportToCongress_Ch7_SEC.pdf">https://www.medpac.gov/wp-content/uploads/2022/03/Mar22_MedPAC_ReportToCongress_Ch7_SEC.pdf</a>) and determined that, even 
considering the cost increases that have occurred as a result of the 
PHE associated with the COVID-19 pandemic, payments to SNFs continue to 
be adequate.
    Comment: One commenter recommended that CMS convene a technical 
expert panel to discuss a more long-range approach to collecting and 
imputing appropriate and timely data for market basket labor update 
calculations, in an attempt to encompass factors not captured by 
currently available price proxies.
    Response: We are open to hearing from interested parties about any 
data or analyses available to achieve the shared goal of ensuring that 
the SNF market basket price proxies are technically appropriate. As 
required by statute, any proposed changes to improve and/or update the 
SNF market basket occur through the rulemaking process and interested 
parties have an opportunity to publicly comment and make 
recommendations regarding the appropriateness of proposed changes.
    Comment: One commenter stated that CMS should update the SNF market 
basket more frequently than every 4 to 5 years. The commenter noted 
that the SNF market basket uses a 2018 base year to measure the labor 
vs. non-labor cost inputs of 2018, which was prior to the pandemic and 
related significant labor cost increases.
    Response: We note that while there is no official schedule for 
updating the market baskets, we typically attempt to rebase a market 
basket every 4 to 5 years since we have found that the cost weights are 
relatively stable over time. As the commenter acknowledged, the SNF 
market basket was last rebased in the FY 2022 SNF final rule using 2018 
Medicare cost reports (86 FR 42444 through 42463), the most recent year 
of complete data available at the time of the rebasing. As described in 
that final rule, the primary data source for the major cost weights 
(Wages and Salaries, Employee Benefits, Contract Labor, Pharmaceutical, 
Malpractice, Capital-related, and Home Office) for the 2018-based SNF 
market basket are the MCRs for freestanding SNFs (CMS Form 2540-10, OMB 
NO. 0938-0463). We also indicated in the FY 2022 SNF final rule that we 
planned to review the 2020 MCR data as soon as complete information was 
available, to ensure the market basket relative cost shares are still 
appropriate.

[[Page 47510]]

    Our analysis of the MCR data for 2019 and 2020 showed little change 
in the reported cost weights with the exception of the Pharmaceuticals 
cost weight in 2020. The Pharmaceuticals cost weight (including the 
adjustment for Medicaid dual-eligible drug costs) decreased 
approximately one percentage point from 7.5 percent in 2018 to 6.4 
percent in 2020. The decrease in the Pharmaceuticals cost weight is 
stemming from the estimated Part D drug costs per day for dual-eligible 
Medicare beneficiaries, which decreased in 2020 as a result of an 
increase in the proportion of generic drugs. More detail regarding this 
adjustment is described in the FY 2022 SNF PPS rule (86 FR 42447). The 
2020 Medicare cost report data also indicates that the Compensation 
cost weight is slightly lower at 59.8 percent, compared to the 2018-
based SNF market basket with 60.2 percent. MCR data for 2021 are 
incomplete at this time. Given that the changes to the Compensation 
cost weight for 2020 are minimal and it is unclear whether changes in 
the cost weights are temporary as a result of the PHE, we continue to 
believe it is premature at this time to use more recent MCR data to 
derive a rebased and revised SNF market basket. We will continue to 
monitor these data, and any necessary changes to the SNF market basket 
will be proposed in future rulemaking.
    Comment: One commenter expressed concern about the proposed 0.4 
percent reduction for productivity and asked CMS in the final rule to 
further elaborate on the specific productivity gains that are the basis 
for this proposed market basket offset. The commenter stated that the 
productivity adjustment contradicts their members' PHE experiences of 
actual losses in productivity during the pandemic.
    Response: Section 1888(e)(5)(B)(ii) of the Act requires the 
application of a productivity adjustment to the SNF market basket 
update. As required by statute, the FY 2023 productivity adjustment is 
derived based on the 10-year moving average of changes in annual 
economy-wide private nonfarm business TFP for the period ending FY 
2023, which is currently projected to be 0.3 percent.
    Comment: One commenter stated that they do not support the 
triggering of automatic forecast error adjustments. They expressed 
concern that automatic forecast corrections would, in some years, 
result in making payment increases on top of the statutory increases to 
the payment rates, despite the industry having sizeable average 
Medicare margins. The commenter also noted that eliminating the 
automatic adjustments would result in more stable updates and 
consistency across settings because CMS does not apply automatic 
forecast error adjustments to any other market baskets. They noted that 
although CMS is required by statute to update the payment rates each 
year by the estimated change in the market basket index, it is not 
required to make automatic forecast error corrections.
    Response: When forecast error adjustments for the SNF market basket 
were introduced in the FY 2004 SNF PPS final rule (68 FR 46035), we 
indicated the goal was ``to pay the appropriate amount, to the correct 
provider, for the proper service, at the right time''. We note that 
since implementation, forecast errors have generally been relatively 
small and clustered near zero and that for FY 2008 and subsequent 
years, we increased the threshold at which adjustments are triggered 
from 0.25 to 0.5 percentage point. Our intent in raising the threshold 
was to distinguish typical statistical variances from more major 
unanticipated impacts, such as unforeseen disruptions of the economy 
(such as occurred during the recent PHE) or unexpected inflationary 
patterns (either at lower or higher than anticipated rates).
    Comment: One commenter stated that the market basket update 
reflects the actual cost of delivering services and it should not be 
used to justify the severity of the parity adjustment.
    Response: We are required to update SNF PPS payments annually by 
the market basket update as required under section 
1888(e)(4)(E)(ii)(IV) and (e)(5)(B) of the Act, as amended by section 
53111 of the BBA 2018. We refer readers to section VI.C for a full 
discussion of the need for and the implementation of the parity 
adjustment.
6. Unadjusted Federal Per Diem Rates for FY 2023
    As discussed in the FY 2019 SNF PPS final rule (83 FR 39162), in FY 
2020 we implemented a new case-mix classification system to classify 
SNF patients under the SNF PPS, the PDPM. As discussed in section 
V.B.1. of that final rule (83 FR 39189), under PDPM, the unadjusted 
Federal per diem rates are divided into six components, five of which 
are case-mix adjusted components (Physical Therapy (PT), Occupational 
Therapy (OT), Speech-Language Pathology (SLP), Nursing, and Non-Therapy 
Ancillaries (NTA)), and one of which is a non-case-mix component, as 
existed under the previous RUG-IV model. We proposed to use the SNF 
market basket, adjusted as described previously, to adjust each per 
diem component of the Federal rates forward to reflect the change in 
the average prices for FY 2023 from the average prices for FY 2022. We 
proposed to further adjust the rates by a wage index budget neutrality 
factor, described later in this section. Further, in the past, we used 
the revised Office of Management and Budget (OMB) delineations adopted 
in the FY 2015 SNF PPS final rule (79 FR 45632, 45634), with updates as 
reflected in OMB Bulletin Nos. 15-01 and 17-01, to identify a 
facility's urban or rural status for the purpose of determining which 
set of rate tables would apply to the facility. As discussed in the FY 
2021 SNF PPS proposed and final rules, we adopted the revised OMB 
delineations identified in OMB Bulletin No. 18-04 (available at <a href="https://www.whitehouse.gov/wp-content/uploads/2018/09/Bulletin-18-04.pdf">https://www.whitehouse.gov/wp-content/uploads/2018/09/Bulletin-18-04.pdf</a>) to 
identify a facility's urban or rural status effective beginning with FY 
2021.
    Tables 3 and 4 reflect the updated unadjusted Federal rates for FY 
2023, prior to adjustment for case-mix.
[GRAPHIC] [TIFF OMITTED] TR03AU22.003


[[Page 47511]]


[GRAPHIC] [TIFF OMITTED] TR03AU22.004

    Commenters submitted the following comments related to the proposed 
unadjusted federal per diem rates for FY 2021. A discussion of these 
comments, along with our responses, appears below.
    Comment: One commenter stated that the case mix adjusted rates 
shown in Tables 5 and 6 for PT, OT, SLP and nursing rates are higher in 
urban areas than rural areas and noted this may be driving inequities 
and labor shortages between rural and urban nursing homes.
    Response: We disagree with the commenter's statement that the case-
mix adjusted rates for the PT, OT and SLP components are higher in 
urban than rural areas as shown in Tables 5 and 6. Additionally, the 
Federal per diem rates were established separately for urban and rural 
areas using allowable costs from FY 1995 cost reports, and therefore, 
account for and reflect the relative costs differences between urban 
and rural facilities. We note that the SNF PPS payment rates are 
updated annually by an increase factor that reflects changes over time 
in the prices of an appropriate mix of goods and services included in 
the covered SNF services and a portion of these rates are further 
adjusted by a wage index to reflect geographic variations in wages. We 
will continue to monitor our SNF payment policies to ensure they 
reflect as accurately as possible the current costs of care in the SNF 
setting.
    Accordingly, after considering the comments received, for the 
reasons specified in this final rule and in the FY 2023 SNF PPS 
proposed rule, we are finalizing the unadjusted federal per diem rates 
set forth in Tables 3 and 4.

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 FY 2019 final 
rule (83 FR 39162, August 8, 2018), we finalized a new case-mix 
classification model, the PDPM, which took effect beginning October 1, 
2019. The previous RUG-IV model classified most patients into a therapy 
payment group and primarily used the volume of therapy services 
provided to the patient as the basis for payment classification, thus 
creating an incentive for SNFs to furnish therapy regardless of the 
individual patient's unique characteristics, goals, or needs. PDPM 
eliminates this incentive and improves the overall accuracy and 
appropriateness of SNF payments by classifying patients into payment 
groups based on specific, data-driven patient characteristics, while 
simultaneously reducing the administrative burden on SNFs.
    The PDPM uses clinical data from the MDS to assign case-mix 
classifiers to each patient that are then used to calculate a per diem 
payment under the SNF PPS, consistent with the provisions of section 
1888(e)(4)(G)(i) of the Act. As discussed in section IV.A. of this 
final 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 timeframes 
for MDS completion in our Resident Assessment Instrument (RAI) Manual. 
As we have stated in prior rules, for an MDS to be considered valid for 
use in determining payment, the MDS assessment should 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 website at <a href="https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/NursingHomeQualityInits/MDS30RAIManual.html">https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/NursingHomeQualityInits/MDS30RAIManual.html</a>.
    Under section 1888(e)(4)(H) of the Act, each update of the payment 
rates must include the case-mix classification methodology applicable 
for the upcoming FY. The FY 2023 payment rates set forth in this 
proposed rule reflect the use of the PDPM case-mix classification 
system from October 1, 2022, through September 30, 2023. The case-mix 
adjusted PDPM payment rates for FY 2023 are listed separately for urban 
and rural SNFs, in Tables 5 and 6 with corresponding case-mix values.
    Given the differences between the previous RUG-IV model and PDPM in 
terms of patient classification and billing, it was important that the 
format of Tables 5 and 6 reflect these differences. More specifically, 
under both RUG-IV and PDPM, providers use a Health Insurance 
Prospective Payment System (HIPPS) code on a claim to bill for covered 
SNF services. Under RUG-IV, the HIPPS code included the three-character 
RUG-IV group into which the patient classified as well as a two-
character assessment indicator code that represented the assessment 
used to generate this code. Under PDPM, while providers still use a 
HIPPS code, the characters in that code represent different things. For 
example, the first character represents the PT and OT group into which 
the patient classifies. If the patient is classified into the PT and OT 
group ``TA'', then the first character in the patient's HIPPS code 
would be an A. Similarly, if the patient is classified into the SLP 
group ``SB'', then the second character in the patient's HIPPS code 
would be a B. The third character represents the Nursing group into 
which the patient classifies. The fourth character represents the NTA 
group into which the patient classifies. Finally, the fifth character 
represents the assessment used to generate the HIPPS code.
    Tables 5 and 6 reflect the PDPM's structure. Accordingly, Column 1 
of Tables 5 and 6 represents the character in the HIPPS code associated 
with a given PDPM component. Columns 2 and 3 provide the case-mix index 
and associated case-mix adjusted component rate, respectively, for the 
relevant PT group. Columns 4 and 5 provide the case-mix index and 
associated case-mix adjusted component rate, respectively, for the 
relevant OT group. Columns 6 and 7 provide the case-mix index and 
associated case-mix adjusted component rate, respectively, for the 
relevant SLP group. Column 8 provides the nursing case-mix group (CMG) 
that is connected

[[Page 47512]]

with a given PDPM HIPPS character. For example, if the patient 
qualified for the nursing group CBC1, then the third character in the 
patient's HIPPS code would be a ``P.'' Columns 9 and 10 provide the 
case-mix index and associated case-mix adjusted component rate, 
respectively, for the relevant nursing group. Finally, columns 11 and 
12 provide the case-mix index and associated case-mix adjusted 
component rate, respectively, for the relevant NTA group.
    Tables 5 and 6 do not reflect adjustments which may be made to the 
SNF PPS rates as a result of the SNF VBP Program, discussed in section 
VII. of this final rule, or other adjustments, such as the variable per 
diem adjustment. Further, in the past, we used the revised OMB 
delineations adopted in the FY 2015 SNF PPS final rule (79 FR 45632, 
45634), with updates as reflected in OMB Bulletin Nos, 15-01 and 17-01, 
to identify a facility's urban or rural status for the purpose of 
determining which set of rate tables would apply to the facility. As 
discussed in the FY 2021 SNF PPS final rule (85 FR 47594), we adopted 
the revised OMB delineations identified in OMB Bulletin No. 18-04 
(available at <a href="https://www.whitehouse.gov/wp-content/uploads/2018/09/Bulletin-18-04.pdf">https://www.whitehouse.gov/wp-content/uploads/2018/09/Bulletin-18-04.pdf</a>) to identify a facility's urban or rural status 
effective beginning with FY 2021.
    As we noted in the FY 2022 SNF PPS final rule (86 FR 42434), we 
continue to monitor the impact of PDPM implementation on patient 
outcomes and program outlays. Because of this analysis, in section V.C. 
of the proposed rule, we proposed to recalibrate the PDPM parity 
adjustment discussed in the FY 2020 SNF PPS final rule (84 FR 38734). 
Following the methodology of this proposed change, Tables 5 and 6 
incorporate the recalibration of the PDPM parity adjustment.
BILLING CODE 4120-01-P
[GRAPHIC] [TIFF OMITTED] TR03AU22.005


[[Page 47513]]


[GRAPHIC] [TIFF OMITTED] TR03AU22.006

BILLING CODE 4120-01-C

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 proposed to continue 
this practice for FY 2023, as we continue to believe that in the 
absence of SNF-specific wage data, using the hospital inpatient wage 
index data 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 under the inpatient prospective payment system 
(IPPS) also excludes any wage data related to SNFs. Therefore, we 
believe that using the updated wage data exclusive of the occupational 
mix adjustment continues to be appropriate for SNF payments. As in 
previous years, we would continue to use the pre-reclassified IPPS 
hospital wage data, without applying the occupational mix, rural floor, 
or outmigration adjustment, as the basis for the SNF PPS wage index. 
For FY 2023, the updated wage data are for hospital cost reporting 
periods beginning on or after October 1, 2018 and before October 1, 
2019 (FY 2019 cost report data).
    We note that section 315 of the Medicare, Medicaid, and SCHIP 
Benefits Improvement and Protection Act of 2000 (BIPA) (Pub. L. 106-
554, enacted 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 PPS 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 the data. More specifically, auditing all SNF 
cost reports, similar to the process used to audit inpatient hospital 
cost reports for purposes of the IPPS wage index, would place a burden 
on providers in terms of recordkeeping and completion of the cost 
report worksheet. In addition, adopting such an approach would require 
a significant commitment of resources by CMS and the Medicare 
Administrative Contractors, potentially far in excess of those required 
under the IPPS, given that there are nearly five times as many SNFs as 
there are inpatient hospitals. While we continue to believe that the 
development of such an audit process could improve SNF cost reports in 
such a manner as to permit us to establish a SNF-specific wage index, 
we do not believe this undertaking is feasible at this time. Therefore, 
as discussed in the proposed rule, in the absence of a SNF-specific 
wage index, we believe the use of the pre-reclassified and pre-floor 
hospital wage data (without the occupational mix adjustment) continue 
to be an appropriate and reasonable proxy for the SNF PPS.

[[Page 47514]]

    In addition, we proposed 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 2022 SNF PPS wage index. For rural geographic areas that do not 
have hospitals and, therefore, lack hospital wage data on which to base 
an area wage adjustment, we proposed to continue using the average wage 
index from all contiguous Core-Based Statistical Areas (CBSAs) as a 
reasonable proxy. For FY 2023, there are no rural geographic areas that 
do not have hospitals, and thus, this methodology will not be applied. 
For rural Puerto Rico, we proposed not to apply this methodology due to 
the distinct economic circumstances there (for example, due to the 
close proximity 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 higher than that in half of its urban areas). 
Instead, we would continue using the most recent wage index previously 
available for that area. For urban areas without specific hospital wage 
index data, we proposed that we would use the average wage indexes of 
all urban areas within the State to serve as a reasonable proxy for the 
wage index of that urban CBSA. For FY 2023, the only urban area without 
wage index data available is CBSA 25980, Hinesville-Fort Stewart, GA.
    The wage index applicable to FY 2023 is set forth in Tables A and B 
available on the CMS website at <a href="https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/WageIndex.html">https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/WageIndex.html</a>.
    In the SNF PPS final rule for FY 2006 (70 FR 45026, August 4, 
2005), we adopted the changes discussed in OMB Bulletin No. 03-04 (June 
6, 2003), which announced revised definitions for MSAs and the creation 
of micropolitan statistical areas and combined statistical areas. 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), after the expiration of this 1-year transition on September 30, 
2006, we used the full CBSA-based wage index values.
    In the FY 2015 SNF PPS final rule (79 FR 45644 through 45646), we 
finalized changes to the SNF PPS wage index based on the newest OMB 
delineations, as described in OMB Bulletin No. 13-01, beginning in FY 
2015, including a 1-year transition with a blended wage index for FY 
2015. OMB Bulletin No. 13-01 established revised delineations for 
Metropolitan Statistical Areas, Micropolitan Statistical Areas, and 
Combined Statistical Areas in the United States and Puerto Rico based 
on the 2010 Census, and provided guidance on the use of the 
delineations of these statistical areas using standards published in 
the June 28, 2010 Federal Register (75 FR 37246 through 37252). 
Subsequently, on July 15, 2015, OMB issued OMB Bulletin No. 15-01, 
which provided minor updates to and superseded OMB Bulletin No. 13-01 
that was issued on February 28, 2013. The attachment to OMB Bulletin 
No. 15-01 provided detailed information on the update to statistical 
areas since February 28, 2013. The updates provided in OMB Bulletin No. 
15-01 were based on the application of the 2010 Standards for 
Delineating Metropolitan and Micropolitan Statistical Areas to Census 
Bureau population estimates for July 1, 2012 and July 1, 2013 and were 
adopted under the SNF PPS in the FY 2017 SNF PPS final rule (81 FR 
51983, August 5, 2016). In addition, on August 15, 2017, OMB issued 
Bulletin No. 17-01 which announced a new urban CBSA, Twin Falls, Idaho 
(CBSA 46300) which was adopted in the SNF PPS final rule for FY 2019 
(83 FR 39173, August 8, 2018).
    As discussed in the FY 2021 SNF PPS final rule (85 FR 47594), we 
adopted the revised OMB delineations identified in OMB Bulletin No. 18-
04 (available at <a href="https://www.whitehouse.gov/wp-content/uploads/2018/09/Bulletin-18-04.pdf">https://www.whitehouse.gov/wp-content/uploads/2018/09/Bulletin-18-04.pdf</a>) beginning October 1, 2020, including a 1-year 
transition for FY 2021 under which we applied a 5 percent cap on any 
decrease in a hospital's wage index compared to its wage index for the 
prior fiscal year (FY 2020). The updated OMB delineations more 
accurately reflect the contemporary urban and rural nature of areas 
across the country, and the use of such delineations allows us to 
determine more accurately the appropriate wage index and rate tables to 
apply under the SNF PPS. For FY 2023 and subsequent years, we proposed 
to apply a permanent 5 percent cap on any decreases to a provider's 
wage index from its wage index in the prior year, regardless of the 
circumstances causing the decline, which was further discussed in 
section V.A. of the proposed rule.
    As we previously stated in the FY 2008 SNF PPS proposed and final 
rules (72 FR 25538 through 25539, and 72 FR 43423), this and all 
subsequent SNF PPS rules and notices are considered to incorporate any 
updates and revisions set forth in the most recent OMB bulletin that 
applies to the hospital wage data used to determine the current SNF PPS 
wage index. We note that on March 6, 2020, OMB issued Bulletin No. 20-
01, which provided updates to and superseded OMB Bulletin No. 18-04 
that was issued on September 14, 2018. The attachments to OMB Bulletin 
No. 20-01 provided detailed information on the updates (available on 
the web at <a href="https://www.whitehouse.gov/wp-content/uploads/2020/03/Bulletin-20-01.pdf">https://www.whitehouse.gov/wp-content/uploads/2020/03/Bulletin-20-01.pdf</a>). In the FY 2021 SNF PPS final rule (85 FR 47611), 
we stated that we intended to propose any updates from OMB Bulletin No. 
20-01 in the FY 2022 SNF PPS proposed rule. After reviewing OMB 
Bulletin No. 20-01, we have determined that the changes in OMB Bulletin 
20-01 encompassed delineation changes that do not impact the CBSA-based 
labor market area delineations adopted in FY 2021. Therefore, while we 
proposed to adopt the updates set forth in OMB Bulletin No. 20-01 
consistent with our longstanding policy of adopting OMB delineation 
updates, we noted that specific wage index updates would not be 
necessary for FY 2022 as a result of adopting these OMB updates and for 
these reasons we did not make such a proposal for FY 2023.
    The wage index applicable to FY 2023 is set forth in Tables A and B 
available on the CMS website at <a href="http://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/WageIndex.html">http://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/WageIndex.html</a>.
    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 labor-
intensive and vary with the local labor market) in the input price 
index. In the SNF PPS final rule for FY 2018 (82 FR 36548 through 
36566), we finalized a proposal to revise the labor-related share to 
reflect the relative importance of the 2014-based SNF market basket 
cost weights for the following cost categories: Wages and Salaries; 
Employee Benefits; Professional Fees: Labor-Related; Administrative and 
Facilities Support Services; Installation, Maintenance, and

[[Page 47515]]

Repair Services; All Other: Labor-Related Services; and a proportion of 
Capital-Related expenses. Effective beginning FY 2022 (86 FR 42437), we 
rebased and revised the labor-related share to reflect the relative 
importance of the 2018-based SNF market basket cost weights for the 
following cost categories: Wages and Salaries; Employee Benefits; 
Professional Fees: Labor-Related; Administrative and Facilities Support 
services; Installation, Maintenance, and Repair Services; All Other: 
Labor-Related Services; and a proportion of Capital-Related expenses. 
The methodology for calculating the labor-related portion beginning in 
FY 2022 is discussed in detail in the FY 2022 SNF PPS final rule (86 FR 
42424).
    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 2023. 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 2023 than the base year weights 
from the SNF market basket. We calculate the labor-related relative 
importance for FY 2023 in four steps. First, we compute the FY 2023 
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 2023 price index level for that cost category by the 
total market basket price index level. Third, we determine the FY 2023 
relative importance for each cost category by multiplying this ratio by 
the base year (2018) weight. Finally, we add the FY 2023 relative 
importance for each of the labor-related cost categories (Wages and 
Salaries; Employee Benefits; Professional Fees: Labor-Related; 
Administrative and Facilities Support Services; Installation, 
Maintenance, and Repair Services; All Other: Labor-Related Services; 
and a portion of Capital-Related expenses) to produce the FY 2023 
labor-related relative importance.
    For the proposed rule, the labor-related share for FY 2023 was 
based on IGI's fourth quarter 2021 forecast of the 2018-based SNF 
market basket with historical data through third quarter 2021. As 
outlined in the proposed rule, we noted that if more recent data became 
available (for example, a more recent estimate of the labor-related 
share relative importance) we would use such data if appropriate for 
the SNF final rule. For this final rule, we base the labor-related 
share for FY 2023 on IGI's second quarter 2022 forecast, with 
historical data through the first quarter 2022. Table 7 summarizes the 
labor-related share for FY 2023, based on IGI's second quarter 2022 
forecast of the 2018-based SNF market basket, compared to the labor-
related share that was used for the FY 2022 SNF PPS final rule.
[GRAPHIC] [TIFF OMITTED] TR03AU22.007

    To calculate the labor portion of the case-mix adjusted per diem 
rate, we would multiply the total case-mix adjusted per diem rate, 
which is the sum of all five case-mix adjusted components into which a 
patient classifies, and the non-case-mix component rate, by the FY 2023 
labor-related share percentage provided in Table 7. The remaining 
portion of the rate would be the non-labor portion. Under the previous 
RUG-IV model, we included tables which provided the case-mix adjusted 
RUG-IV rates, by RUG-IV group, broken out by total rate, labor portion 
and non-labor portion, such as Table 9 of the FY 2019 SNF PPS final 
rule (83 FR 39175). However, as we discussed in the FY 2020 final rule 
(84 FR 38738), under PDPM, as the total rate is calculated as a 
combination of six different component rates, five of which are case-
mix adjusted, and given the sheer volume of possible combinations of 
these five case-mix adjusted components, it is not feasible to provide 
tables similar to those that existed in the prior rulemaking.
    Therefore, to aid interested parties in understanding the effect of 
the wage index on the calculation of the SNF per diem rate, we have 
included a hypothetical rate calculation in Table 9.
    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 2023 (Federal rates 
effective October 1, 2022), we apply an adjustment to fulfill the 
budget neutrality requirement. We meet this requirement by multiplying 
each of the components of the

[[Page 47516]]

unadjusted Federal rates by a budget neutrality factor, equal to the 
ratio of the weighted average wage adjustment factor for FY 2022 to the 
weighted average wage adjustment factor for FY 2023. For this 
calculation, we would use the same FY 2021 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 portion of the 
rate component multiplied by the wage index plus the non-labor portion 
of the rate component. The proposed budget neutrality factor for FY 
2023 set forth in the proposed rule was 1.0011.
    We noted that if more recent data became available (for example, 
revised wage data), we would use such data, as appropriate, to 
determine the wage index budget neutrality factor in the SNF PPS final 
rule. Since the proposed rule, we have updated the wage adjustment 
factor for FY 2023. Based on this updated information, the budget 
neutrality factor for FY 2023 is 1.0005.
    The following is a summary of the public comments we received on 
the proposed revisions to the Wage Index Adjustment and our responses.
    Comment: Several commenters recommended that CMS develop a SNF-
specific wage index utilizing SNF wage data rather than relying on 
hospital wage data. Most of these commenters recommended CMS utilize 
BLS data, while one commenter recommended CMS focus on Payroll-Based 
Journaling (PBJ) data.
    Response: We appreciate the commenters' suggestion that we develop 
a SNF-specific wage index utilizing SNF wage data instead of hospital 
wage data while considering the use of BLS and PBJ data. We note that, 
consistent with the discussion published most recently in the FY 2021 
SNF PPS final rule (86 FR 42436 through 42439), and in further detail 
in the FY 2019 SNF PPS final rule (83 FR 39172 through 39178) to these 
recurring comments, developing such a wage index would require a 
resource-intensive audit process similar to that used for IPPS hospital 
data, to improve the quality of the SNF cost report data in order for 
it to be used as part of this analysis. We also discussed in the FY 
2019 SNF PPS why utilizing concepts such as BLS data and PBJ are 
unfeasible or not applicable to SNF policy.
    We continue to believe that in the absence of the appropriate SNF-
specific wage data, using the pre-reclassified, pre-rural floor 
hospital inpatient wage data (without the occupational mix adjustment) 
is appropriate and reasonable for the SNF PPS.
    Comment: Several comments suggested that CMS revise the SNF wage 
index to adopt the same geographic reclassification and rural floor 
polices that are used to adjust the IPPS wage index.
    Response: We note that until the development of a SNF-specific wage 
index, the SNF PPS does not account for geographic reclassification 
under section 315 of the Medicare, Medicaid, and SCHIP Benefits 
Improvement and Protection Act of 2000 (BIPA) (Pub. L. 106-554, enacted 
December 21, 2000).
    With regard to implementing a rural floor under the SNF PPS, we do 
not believe it would be prudent at this time to adopt such a policy, 
particularly because MedPAC has repeatedly recommended eliminating the 
rural floor policy from the calculation of the IPPS wage index. For 
example, Chapter 3 of MedPAC's March 2013 Report to Congress on 
Medicare Payment Policy, available at <a href="http://www.medpac.gov/docs/default-source/reports/mar13_ch03.pdf">http://www.medpac.gov/docs/default-source/reports/mar13_ch03.pdf</a>, notes on page 65 that, in 2007, 
MedPAC had recommended eliminating these special wage index adjustments 
and adopting a new wage index system to avoid geographic inequities 
that can occur due to current wage index policies (Medicare Payment 
Advisory Commission 2007b)). If we adopted the rural floor policy at 
this time, the SNF PPS wage index could become vulnerable to problems 
similar to those MedPAC identified in its March 2013 Report to 
Congress.
    Furthermore, as we do not have an SNF-specific wage index, we are 
unable to determine the degree, if any, to which a geographic 
reclassification adjustment or a rural floor policy under the SNF PPS 
would be appropriate. The rationale for our current wage index policies 
was most recently published in the FY 2022 SNF PPS final rule (86 FR 
42436) and previously described in the FY 2016 SNF PPS final rule (80 
FR 45401 through 46402).
    After consideration of public comments, we are finalizing our 
proposal to continue to use the updated pre-reclassification and pre-
floor IPPS wage index data to develop the FY 2023 SNF PPS wage index.

E. SNF Value-Based Purchasing Program

    Beginning with payment for services furnished on October 1, 2018, 
section 1888(h) of the Act requires the Secretary to reduce the 
adjusted Federal per diem rate determined under section 1888(e)(4)(G) 
of the Act otherwise applicable to a SNF for services furnished during 
a fiscal year by 2 percent, and to adjust the resulting rate for a SNF 
by the value-based incentive payment amount earned by the SNF based on 
the SNF's performance score for that fiscal year under the SNF VBP 
Program. To implement these requirements, we finalized in the FY 2019 
SNF PPS final rule the addition of Sec.  413.337(f) to our regulations 
(83 FR 39178).
    Please see section VIII. of this final rule for further discussion 
of our policies for the SNF VBP Program.

F. Adjusted Rate Computation Example

    Tables 8 through 10 provide examples generally illustrating payment 
calculations during FY 2023 under PDPM for a hypothetical 30-day SNF 
stay, involving the hypothetical SNF XYZ, located in Frederick, MD 
(Urban CBSA 23224), for a hypothetical patient who is classified into 
such groups that the patient's HIPPS code is NHNC1. Table 8 shows the 
adjustments made to the Federal per diem rates (prior to application of 
any adjustments under the SNF VBP Program as discussed previously and 
taking into account the proposed parity adjustment discussed in section 
VI.C. of this final rule) to compute the provider's case-mix adjusted 
per diem rate for FY 2023, based on the patient's PDPM classification, 
as well as how the variable per diem (VPD) adjustment factor affects 
calculation of the per diem rate for a given day of the stay. Table 9 
shows the adjustments made to the case-mix adjusted per diem rate from 
Table 8 to account for the provider's wage index. The wage index used 
in this example is based on the FY 2023 SNF PPS wage index that appears 
in Table A available on the CMS website at <a href="http://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/WageIndex.html">http://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/WageIndex.html</a>. Finally, Table 
10 provides the case-mix and wage index adjusted per-diem rate for this 
patient for each day of the 30-day stay, as well as the total payment 
for this stay. Table 10 also includes the VPD adjustment factors for 
each day of the patient's stay, to clarify why the patient's per diem 
rate changes for certain days of the stay. As illustrated in Table 8, 
SNF XYZ's total PPS payment for this particular patient's stay would 
equal $20,821.69.
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V. 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 IV.C. of this final rule. This approach includes an 
administrative presumption that utilizes a beneficiary's correct 
assignment, at the outset of the SNF stay, of one of the case-mix 
classifiers designated for this purpose to assist in making certain SNF 
level of care determinations.
    In accordance with Sec.  413.345, we include in each update of the 
Federal payment rates in the Federal Register a discussion of the 
resident classification system that provides the basis for case-mix 
adjustment. We also designate those specific classifiers under the 
case-mix classification system that represent the required SNF level of 
care, as provided in 42 CFR 409.30. This designation reflects an 
administrative presumption that those beneficiaries who are correctly 
assigned one of the designated case-mix classifiers on the initial 
Medicare assessment are automatically classified as meeting the SNF 
level of care definition up to and including the assessment reference 
date (ARD) for that assessment.
    A beneficiary who does not qualify for the presumption is not 
automatically classified as either meeting or not meeting the level of 
care definition, but instead receives an individual determination on 
this point using the existing administrative criteria. This presumption 
recognizes the strong likelihood that those beneficiaries who are 
correctly assigned one of the designated case-mix classifiers during 
the immediate post-hospital period would require a covered level of 
care, which would be less likely for other beneficiaries.
    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. The FY 2018 final rule (82 FR 36544) further specified that 
we would henceforth disseminate the standard description of the 
administrative presumption's designated groups via the SNF PPS website 
at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/
SNFPPS/

[[Page 47519]]

index.html (where such designations appear in the paragraph entitled 
``Case Mix Adjustment''), and would publish such designations in 
rulemaking only to the extent that we actually intend to propose 
changes in them. Under that approach, the set of case-mix classifiers 
designated for this purpose under PDPM was finalized in the FY 2019 SNF 
PPS final rule (83 FR 39253) and is posted on the SNF PPS website 
(<a href="https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/index.html">https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/index.html</a>), in the paragraph entitled ``Case Mix Adjustment.''
    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 any services prompting the assignment of one of 
the designated case-mix classifiers (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 where the sole classifier that 
triggers the presumption is itself assigned through 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 ARD of the initial 
Medicare 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 1997) require a SNF to submit consolidated 
Medicare bills to its Medicare Administrative Contractor (MAC) 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) of the Act 
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).
    A detailed discussion of the legislative history of the 
consolidated billing provision is available on the SNF PPS website at 
<a href="https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/Downloads/Legislative_History_2018-10-01.pdf">https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/Downloads/Legislative_History_2018-10-01.pdf</a>. In particular, section 
103 of the Medicare, Medicaid, and SCHIP Balanced Budget Refinement Act 
of 1999 (BBRA 1999) (Pub. L. 106-113, enacted November 29, 1999) 
amended section 1888(e)(2)(A)(iii) of the Act by further excluding a 
number of individual high-cost, low probability services, identified by 
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 1999 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 <a href="http://www.cms.gov/transmittals/downloads/ab001860.pdf">www.cms.gov/transmittals/downloads/ab001860.pdf</a>.
    As explained in the FY 2001 proposed rule (65 FR 19232), the 
amendments enacted in section 103 of the BBRA 1999 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 these four specified service categories. In the proposed 
rule for FY 2001, we also noted that the BBRA 1999 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 PPS. According to the conferees, section 103(a) of the BBRA 1999 is 
an attempt to exclude from the PPS certain services and costly items 
that are provided infrequently in SNFs. By contrast, the amendments 
enacted in section 103 of the BBRA 1999 do not 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 is consistent with 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 1999: they must fall within one of the 
four service categories specified in the BBRA 1999; and they also must 
meet the same standards of high cost and low probability in the SNF 
setting, as discussed in the BBRA 1999 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).
    Effective with items and services furnished on or after October 1, 
2021, section 134 in Division CC of the CAA established an additional 
category of excluded codes in section 1888(e)(2)(A)(iii)(VI) of the 
Act, for certain blood clotting factors for the treatment of patients 
with hemophilia and other bleeding disorders along with items and 
services related to the furnishing of such factors under section 
1842(o)(5)(C) of the Act. Like the provisions enacted in the BBRA 1999, 
new section 1888(e)(2)(A)(iii)(VI) of the Act gives the Secretary the 
authority to designate additional items and services for exclusion 
within the category of items and services described in that section.
    In the proposed rule, we specifically solicited public comments 
identifying HCPCS codes in any of these five service categories 
(chemotherapy items, chemotherapy administration services, radioisotope 
services, customized prosthetic devices, and blood clotting factors) 
representing recent medical advances that might meet our criteria for 
exclusion from SNF consolidated billing. In the proposed rule, we noted 
that we may consider excluding a particular service if it meets our 
criteria for exclusion as specified previously. We requested that 
commenters identify in their comments the specific HCPCS code that is 
associated with the service

[[Page 47520]]

in question, as well as their rationale for requesting that the 
identified HCPCS code(s) be excluded.
    In the proposed rule, we noted that the original BBRA amendment and 
the CAA identified a set of excluded items and services by means of 
specifying individual HCPCS codes within the designated categories that 
were in effect as of a particular date (in the case of the BBRA 1999, 
July 1, 1999, and in the case of the CAA, July 1, 2020), as 
subsequently modified by the Secretary. In addition, as noted in this 
section of the preamble, the statute (sections 1888(e)(2)(A)(iii)(II) 
through (VI) of the Act) gives the Secretary authority to identify 
additional items and services for exclusion within the categories of 
items and services described in the statute, which are also designated 
by HCPCS code. Designating the excluded services in this manner makes 
it possible for us to utilize program issuances as the vehicle for 
accomplishing routine updates to the excluded codes to reflect any 
minor revisions that might subsequently occur in the coding system 
itself, such as the assignment of a different code number to a service 
already designated as excluded, or the creation of a new code for a 
type of service that falls within one of the established exclusion 
categories and meets our criteria for exclusion.
    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, October 1, 2022). 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. The latest list of 
excluded codes can be found on the SNF Consolidated Billing website at 
<a href="https://www.cms.gov/Medicare/Billing/SNFConsolidatedBilling">https://www.cms.gov/Medicare/Billing/SNFConsolidatedBilling</a>.
    The following is a summary of the public comments we received on 
the proposed revisions to Consolidated Billing and our responses.
    Comment: One commenter stated that consolidated billing exclusions 
remain inadequate and should be revised. The commenter stated that 
there continue to be outlier drug costs that need to be considered for 
exclusion from consolidated billing. The commenter stated that certain 
classes of drugs considered ``Specialty'' drugs are the largest 
exposure items for SNFs and need to be evaluated by CMS. The commenter 
further stated that many pharmaceutical therapies in use today were not 
in existence at the time that consolidated billing PPDs were created. 
Therefore, they cannot be considered ``included'' within the Medicare A 
FFS rate.
    Response: As we noted in the proposed rule, sections 
1888(e)(2)(A)(iii)(II) through (VI) of the Act give the Secretary 
authority to identify additional items and services for exclusion only 
within the categories of items and services described in the statute. 
Accordingly, it is beyond the statutory authority of CMS to exclude 
services that do not fit these categories, or to create additional 
categories of excluded services. Such changes would require 
Congressional action.
    Comment: A commenter requested that CMS to consider agents that 
have evolving indications for use for different malignancies. In 
particular, the commenter requested consideration for both Leuprolide 
Acetate (HCPCS J9217) as well as Denosumab (HCPCS J0897) which 
previously was indicated as an osteoporosis medication but now has 
broader uses. The commenter also requested continued consideration of 
covering expensive antibiotics in Skilled Nursing Facilities as part of 
a Part A covered stay. The commenter stated that use of antibiotics 
such as ceftolozane 50 mg and tazobactam 25 mg (HCPCS J0695) are 
prohibitively expensive for facilities to cover outside of SNF 
consolidated billing and limit beneficiaries' abilities to access these 
skilled rehab services.
    Response: For the reasons discussed previously in prior rulemaking, 
the particular drugs cited in these comments remain subject to 
consolidated billing. In the case of leuprolide acetate, we have 
addressed this when suggested in past rulemaking cycles, most recently 
in the SNF PPS final rules for FY 2019 (83 FR 39162, August 8, 2018) 
and FY 2015 (79 FR 45642, August 5, 2014). In those rules, we explained 
that this drug is unlikely to meet the criterion of ``low probability'' 
specified in the BBRA. With regard to denosumab, it would similarly be 
unlikely to meet the criterion of ``low probability.'' One of the 
indications for treatment is for bone metastases from solid tumors such 
as bone or prostate cancer. This can occur in up to 70 to 90 percent of 
patients with breast or prostate cancer.
    With regard to the suggestion that CMS should exclude antibiotics, 
we note again that it is beyond the statutory authority of CMS to 
exclude services that do not fit the categories for exclusion defined 
by statute, or to create additional categories of excluded services. 
Such changes would require Congressional action.

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, SNF-level 
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 final rule for the SNF PPS also apply to all 
non-CAH swing-bed rural hospitals. As finalized in the FY 2010 SNF PPS 
final rule (74 FR 40356 through 40357), 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. As discussed in the FY 2019 SNF PPS final 
rule (83 FR 39235), revisions were made to the swing bed assessment to 
support implementation of PDPM, effective October 1, 2019. A discussion 
of the assessment schedule and the MDS effective beginning FY 2020 
appears in the FY 2019 SNF PPS final rule (83 FR 39229 through 39237). 
The latest changes in the MDS for swing-bed rural hospitals appear on 
the SNF PPS website at <a href="https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/index.html">https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/index.html</a>.

D. Revisions to the Regulation Text

    We proposed to make certain revisions in the regulation text 
itself. Specifically, we proposed to revise Sec.  413.337(b)(4) and add 
new paragraphs (b)(4)(i) through (iii). These proposed revisions 
reflect that the application of the wage index would be made on the 
basis of the location of the facility in an urban or rural area as 
defined in Sec.  413.333, and that starting on October 1, 2022, we 
would apply a cap on decreases to the wage index such that

[[Page 47521]]

the wage index applied to a SNF is not less than 95 percent of the wage 
index applied to that SNF in the prior FY, as discussed in section 
VI.A. of this final rule.
    We did not receive public comments specific to the proposed 
revisions to the regulation text, and therefore, we are finalizing as 
proposed. We discuss comments received on the wage index cap policy 
itself in section VI.A. of this final rule.

VI. Other SNF PPS Issues

A. Permanent Cap on Wage Index Decreases

    As outlined in section III.D. of the proposed rule, we proposed and 
finalized temporary transition policies in the past to mitigate 
significant changes to payments due to changes to the SNF PPS wage 
index. Specifically, for FY 2015 (79 FR 45644 through 45646), we 
implemented a 50/50 blend for all geographic areas consisting of the 
wage index values computed using the then-current OMB area delineations 
and the wage index values computed using new area delineations based on 
OMB Bulletin No. 13-01. In FY 2021 (85 FR 47594, 47617), we implemented 
a 1-year transition to mitigate any negative effects of wage index 
changes by applying a 5 percent cap on any decrease in a SNF's wage 
index from the final wage index from FY 2020. We explained that we 
believed the 5-percent cap would provide greater transparency and would 
be administratively less complex than the prior methodology of applying 
a 50/50 blended wage index. We indicated that no cap would be applied 
to the reduction in the wage index for FY 2022, and we noted that this 
transition approach struck an appropriate balance by providing a 
transition period to mitigate the resulting short-term instability and 
negative impacts on providers and time for them to adjust to their new 
labor market area delineations and wage index values.
    In the FY 2022 final rule (86 FR 42424, 42439), commenters 
recommended that CMS extend the transition period adopted in the FY 
2021 SNF PPS final rule so that SNFs could offset the cuts scheduled 
for FY 2022. Although, we acknowledged that certain changes to wage 
index policy could affect Medicare payment. In addition, we reiterated 
that our policy principles with regard to the wage index include 
generally using the most current data and information available and 
providing that data and information, as well as any approaches to 
addressing any significant effects on Medicare payments resulting from 
these potential scenarios around SNF payment volatility, in notice and 
comment rulemaking. We did not propose to modify the transition policy 
that was finalized in the FY 2021 SNF PPS final rule, and therefore, 
did not extend the transition period for FY 2022. With these policy 
principles in mind for this FY 2023 proposed rule, we considered how 
best to address commenters' concerns discussed in the FY 2022 final 
rule around SNF payment volatility; that is, scenarios in which changes 
to wage index policy may significantly affect Medicare payments.
    In the past, we have established transition policies of limited 
duration to phase in significant changes to labor market. In taking 
this approach in the past, we have sought to strike an appropriate 
balance between maintaining the accuracy of the overall labor market 
area wage index system and mitigating short-term instability and 
negative impacts on providers due to wage index changes. In accordance 
with the requirements of the SNF PPS wage index regulations at Sec.  
413.337(a)(1), we use an appropriate wage index based on the best 
available data, including the best available labor market area 
delineations, to adjust SNF PPS payments for wage differences. We have 
previously stated that, because the wage index is a relative measure of 
the value of labor in prescribed labor market areas, we believe it is 
important to implement new labor market area delineations with as 
minimal a transition as is reasonably possible. However, we recognize 
that changes to the wage index have the potential to create instability 
and significant negative impacts on certain providers even when labor 
market areas do not change. In addition, year-to-year fluctuations in 
an area's wage index can occur due to external factors beyond a 
provider's control, such as the COVID-19 public health emergency (PHE). 
For an individual provider, these fluctuations can be difficult to 
predict. So, we also recognize that predictability in Medicare payments 
is important to enable providers to budget and plan their operations.
    In light of these considerations, we proposed a permanent approach 
to smooth year-to-year changes in providers' wage indexes. We proposed 
a policy that we believe increases the predictability of SNF PPS 
payments for providers, and mitigates instability and significant 
negative impacts to providers resulting from changes to the wage index.
    As previously discussed, we believed applying a 5-percent cap on 
wage index decreases for FY 2021 provided greater transparency and was 
administratively less complex than prior transition methodologies. In 
addition, we believed this methodology mitigated short-term instability 
and fluctuations that can negatively impact providers due to wage index 
changes. Lastly, we have noted that we believed the 5-percent cap we 
applied to all wage index decreases for FY 2021 provided an adequate 
safeguard against significant payment reductions related to the 
adoption of the revised CBSAs. However, we recognize there are 
circumstances that a 1-year mitigation policy, like the one adopted for 
FY 2021, would not effectively address future years where providers 
continue to be negatively affected by significant wage index decreases.
    Typical year-to-year variation in the SNF PPS wage index has 
historically been within 5 percent, and we expect this will continue to 
be the case in future years. For FY 2023, the provider level impact 
analysis indicates that approximately 97 percent of SNFs will 
experience a wage index change within 5 percent. Because providers are 
usually experienced with this level of wage index fluctuation, we 
believe applying a 5-percent cap on all wage index decreases each year, 
regardless of the reason for the decrease, would effectively mitigate 
instability in SNF PPS payments due to any significant wage index 
decreases that may affect providers in any year. We believe this 
approach would address concerns about instability that commenters 
raised in the FY 2022 SNF PPS rule. Additionally, as noted in the 
proposed rule, we believe that applying a 5-percent cap on all wage 
index decreases would support increased predictability about SNF PPS 
payments for providers, enabling them to more effectively budget and 
plan their operations. Lastly, because applying a 5-percent cap on all 
wage index decreases would represent a small overall impact on the 
labor market area wage index system we believe it would ensure the wage 
index is a relative measure of the value of labor in prescribed labor 
market wage areas. As outlined in detail in section XI.A.4. of the 
proposed rule, we estimated that applying a 5-percent cap on all wage 
index decreases will have a very small effect on the wage index budget 
neutrality factor for FY 2023. Because the wage index is a measure of 
the value of labor (wage and wage-related costs) in a prescribed labor 
market area relative to the national average, we anticipate that in the 
absence of proposed policy changes most providers will not experience 
year-to-year wage index

[[Page 47522]]

declines greater than 5 percent in any given year. As noted in the 
proposed rule, we also believe that when the 5-percent cap would be 
applied under this proposal, it is likely that it would be applied 
similarly to all SNFs in the same labor market area, as the hospital 
average hourly wage data in the CBSA (and any relative decreases 
compared to the national average hourly wage) would be similar. While 
this policy may result in SNFs in a CBSA receiving a higher wage index 
than others in the same area (such as situations when delineations 
change), we believe the impact would be temporary. Therefore, we 
anticipate that the impact to the wage index budget neutrality factor 
in future years would continue to be minimal.
    The Secretary has broad authority to establish appropriate payment 
adjustments under the SNF PPS, including the wage index adjustment. As 
discussed earlier in this section, the SNF PPS regulations require us 
to use an appropriate wage index based on the best available data. For 
the reasons discussed earlier in this section, we believe that a 5-
percent cap on wage index decreases would be appropriate for the SNF 
PPS. Therefore, for FY 2023 and subsequent years, we proposed to apply 
a permanent 5-percent cap on any decrease to a provider's wage index 
from its wage index in the prior year, regardless of the circumstances 
causing the decline. That is, we proposed that SNF's wage index for FY 
2023 would not be less than 95 percent of its final wage index for FY 
2022, regardless of whether the SNF is part of an updated CBSA, and 
that for subsequent years, a provider's wage index would not be less 
than 95 percent of its wage index calculated in the prior FY. This 
means, if a SNF's prior FY wage index is calculated with the 
application of the 5-percent cap, then the following year's wage index 
would not be less than 95 percent of the SNF's capped wage index in the 
prior FY. For example, if a SNF's wage index for FY 2023 is calculated 
with the application of the 5-percent cap, then its wage index for FY 
2024 would not be less than 95 percent of its capped wage index in FY 
2023. Lastly, we proposed that a new SNF would be paid the wage index 
for the area in which it is geographically located for its first full 
or partial FY with no cap applied, because a new SNF would not have a 
wage index in the prior FY. As we outlined in the proposed rule, we 
believe this proposed methodology would maintain the SNF PPS wage index 
as a relative measure of the value of labor in prescribed labor market 
areas, increase the predictability of SNF PPS payments for providers, 
and mitigate instability and significant negative impacts to providers 
resulting from significant changes to the wage index. In section XI. of 
the proposed rule, we estimated the impact to payments for providers in 
FY 2023 based on this proposed policy. We also noted that we would 
examine the effects of this policy on an ongoing basis in the future in 
order to assess its continued appropriateness.
    Subject to the aforementioned proposal becoming final, we also 
proposed to revise the regulation text at Sec.  413.337(a)(1) to 
provide that starting October 1, 2022, we would apply a cap on 
decreases to the wage index such that the wage index applied is not 
less than 95 percent of the wage index applied to that SNF in the prior 
year.
    We invited public comments on this proposal. The following is a 
summary of the comments we received on the proposed permanent cap on 
wage index decreases and our responses.
    Comment: MedPAC expressed support for the 5-percent permanent cap 
on wage index decreases policy, but recommended that the 5-percent cap 
limit should apply to both increases and decreases in the wage index 
because they stated that no provider should have its wage index value 
increase or decrease by more than 5 percent.
    Response: We appreciate MedPAC's suggestion that the cap on wage 
index changes of more than 5 percent should also be applied to 
increases in the wage index. However, as we discussed in the FY 2023 
SNF PPS proposed rule (87 FR 22735), one purpose of the proposed policy 
is to help mitigate the significant negative impacts of certain wage 
index changes. Likewise, we explained that we believe that applying a 
5-percent cap on all wage index decreases would support increased 
predictability about SNF PPS payments for providers, enabling them to 
more effectively budget and plan their operations. That is, we proposed 
to cap decreases because we believe that a provider would be able to 
more effectively budget and plan when there is predictability about its 
expected minimum level of SNF PPS payments in the upcoming fiscal year. 
We did not propose to limit wage index increases, because we do not 
believe such a policy would enable SNFs to more effectively budget and 
plan their operations. So, we believe it is appropriate for providers 
that experience an increase in their wage index value to receive the 
full benefit of their increased wage index value.
    Comment: A few commenters requested that CMS retroactively apply 
the 5 percent cap policy to the FY 2022 wage index.
    Response: In the FY 2021 SNF PPS rulemaking cycle, CMS proposed and 
finalized a one-time, 1-year transition policy to mitigate the effects 
of adopting OMB delineations updated in OMB Bulletin 18-04. In the FY 
2023 SNF PPS proposed rule we did not propose to modify the one-time 
transition policy that was finalized in the FY 2021 SNF PPS final rule, 
nor did we propose to extend the transition period for FY 2022. We have 
historically implemented 1-year transitions, as discussed in the FY 
2006 (70 FR 45026) and FY 2015 (79 FR 45644) final rules, to address 
CBSA changes due to substantial updates to OMB delineations. Our policy 
principles, as noted in the FY 2022 final rule (86 FR 42439), with 
regard to the wage index are to use the most updated data and 
information available. Therefore, the FY 2023 wage index policy 
proposal is prospective and is designed to mitigate any significant 
decreases beginning in FY 2023, not retroactively.
    Comment: A number of commenters suggested the 5-percent cap be 
applied in a non-budget neutral manner.
    Response: The statute at section 1888(e)(4)(G)(ii) of the Act 
requires that adjustments for geographic variations in labor costs for 
a FY are made in a budget-neutral. We are required to apply the 
permanent 5-percent cap policy in a budget-neutral manner.
    Comment: A commenter recommended the percentage cap be lower than 
the proposed 5-percent stating they found that most wage indices do not 
swing by 5-percent.
    Response: We appreciate the commenter's suggestion that the 
permanent cap percentage should be lower than 5-percent. However, as we 
discussed in the proposed rule, for FY 2023, the provider level impact 
analysis indicates that approximately 97 percent of SNFs will 
experience a wage index change within 5 percent. Because providers are 
usually experienced with this level of wage index fluctuation, we 
believe applying a 5-percent cap on all wage index decreases each year, 
regardless of the reason for the decrease, would effectively mitigate 
instability in SNF PPS payments due to any significant wage index 
decreases that may affect providers in any year.
    Comment: One commenter was opposed to the implementation of the 
permanent 5-percent cap on wage index decreases at this time, stating 
that the industry struggled prior to the PHE.
    Response: We appreciate the concern with implementing the permanent 
5-percent cap on wage index decreases.

[[Page 47523]]

However, as we discussed in the proposed rule, we believe moving 
forward with the permanent cap on wage index decreases would 
effectively mitigate instability in SNF PPS payments due to any 
significant wage index decreases that may affect providers in any year.
    After consideration of the comments we received, we are finalizing 
the proposed permanent 5-percent cap on wage index decreases for the 
SNF PPS, beginning in FY 2023.

B. Technical Updates to PDPM ICD-10 Mappings

    In the FY 2019 SNF PPS final rule (83 FR 39162), we finalized the 
implementation of the Patient Driven Payment Model (PDPM), effective 
October 1, 2019. The PDPM utilizes International Classification of 
Diseases, Version 10 (ICD-10) codes in several ways, including to 
assign patients to clinical categories under several PDPM components, 
specifically the PT, OT, SLP and NTA components. The ICD-10 code 
mappings and lists used under PDPM are available on the PDPM website at 
<a href="https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/PDPM">https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/PDPM</a>.
    Each year, the ICD-10 Coordination and Maintenance Committee, a 
Federal interdepartmental committee that is chaired by representatives 
from the National Center for Health Statistics (NCHS) and by 
representatives from CMS, meets biannually and publishes updates to the 
ICD-10 medical code data sets in June of each year. These changes 
become effective October 1 of the year in which these updates are 
issued by the committee. The ICD-10 Coordination and Maintenance 
Committee also can make changes to the ICD-10 medical code data sets 
effective on April 1 of each year.
    In the FY 2020 SNF PPS final rule (84 FR 38750), we outlined the 
process by which we maintain and update the ICD-10 code mappings and 
lists associated with the PDPM, as well as the SNF Grouper software and 
other such products related to patient classification and billing, to 
ensure that they reflect the most up to date codes possible. Beginning 
with the updates for FY 2020, we apply nonsubstantive changes to the 
ICD-10 codes included on the PDPM code mappings and lists through a 
subregulatory process consisting of posting updated code mappings and 
lists on the PDPM website at <a href="https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/PDPM">https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/SNFPPS/PDPM</a>. Such nonsubstantive changes are 
limited to those specific changes that are necessary to maintain 
consistency with the most current ICD-10 medical code data set. On the 
other hand, substantive changes, or those that go beyond the intention 
of maintaining consistency with the most current ICD-10 medical code 
data set, will be proposed through notice and comment rulemaking. For 
instance, changes to the assignment of a code to a comorbidity list or 
other changes that amount to changes in policy are considered 
substantive changes for which we would undergo notice and comment 
rulemaking.
    We proposed several changes to the PDPM ICD-10 code mappings and 
lists. We note that, in the case of any diagnoses that are either 
currently mapped to ``Return to Provider'' or that we proposed to 
classify into this category, this is not intended to reflect any 
judgment on the importance of recognizing and treating these 
conditions, but merely that there are more specific diagnoses than 
those mapped to ``Return to Provider'' or that we do not believe that 
the diagnosis should serve as the primary diagnosis for a Part-A 
covered SNF stay. Our proposed changes were as follows:
    On October 1, 2021, D75.839 ``Thrombocytosis, unspecified,'' took 
effect and was mapped to the clinical category of ``Cardiovascular and 
Coagulations.'' However, there are more specific codes to indicate why 
a patient with thrombocytosis would require SNF care. If the cause is 
unknown, the SNF could use D47.3, ``Essential (hemorrhagic) 
thrombocythemia'' or D75.838, ``other thrombocytosis'' which is a new 
code that took effect on October 1, 2021. Further, elevated platelet 
count without other symptoms is not reason enough for SNF skilled care 
so this would not be used as a primary diagnosis. For this reason, we 
proposed to change the assignment of D75.839 to ``Return to Provider.''
    On October 1, 2021, D89.44, ``Hereditary alpha tryptasemia'' went 
into effect and was mapped to the clinical category, ``Medical 
Management.'' However, this is not a diagnosis that would be treated as 
a primary condition in the SNF, rather it would be treated in the 
outpatient setting. Therefore, we proposed to change the assignment of 
D89.44 to ``Return to Provider.''
    On October 1, 2021, F32.A, ``Depression, unspecified'' went into 
effect and was mapped to ``Medical Management.'' However, there are 
more specific codes that would more adequately capture the diagnosis of 
depression. Further, as we noted in the proposed rule, while we believe 
that SNFs serve an important role in providing services to those 
beneficiaries suffering from mental illness, the SNF setting is not the 
setting that would be most appropriate to treat a patient whose primary 
diagnosis is depression. For this reason, we proposed to change the 
assignment of F32.A to ``Return to Provider.''
    On October 1, 2021, G92.9, ``Unspecified toxic encephalopathy'' 
took effect and was mapped to the clinical category of ``Acute 
Neurologic.'' However, there are more specific codes that should be 
used to describe encephalopathy treated in a SNF. Therefore, we 
proposed to change the assignment of G92.9 to ``Return to Provider.''
    On October 1, 2021, M54.50, ``Low back pain, unspecified'' went 
into effect and was mapped to the clinical category of ``Non-surgical 
Orthopedic/Musculoskeletal.'' However, if low back pain were the 
primary diagnosis, the SNF should have a greater understanding of what 
is causing the pain. There are more specific codes to address this 
condition. Therefore, we proposed to change the assignment of M54.50 to 
``Return to Provider.''
    In the FY 2022 proposed rule (86 FR 19984 through 19985), we 
proposed to reclassify K20.81, ``Other esophagitis with bleeding,'' 
K20.91, ``Esophagitis, unspecified with bleeding,'' and K21.01, 
``Gastro-esophageal reflux disease with esophagitis, with bleeding'' 
from ``Return to Provider'' to ``Medical Management.'' Our rationale 
for the change was a recognition that these codes represent these 
esophageal conditions with more specificity than originally considered 
because of the bleeding that is part of the conditions and that they 
would more likely be found in SNF patients. We received one comment 
suggesting additional changes to similar ICD-10 code mappings and 
comorbidity lists that at the time were outside the scope of 
rulemaking. This commenter suggested that we consider remapping the 
following similar diagnosis codes that frequently require SNF skilled 
care, from ``Return to Provider'' to ``Medical Management'': K22.11, 
``Ulcer of esophagus with bleeding;'' K25.0, ``Acute gastric ulcer with 
hemorrhage;'' K25.1, ``Acute gastric ulcer with perforation;'' K25.2, 
``Acute gastric ulcer with both hemorrhage and perforation;'' K26.0, 
``Acute duodenal ulcer with hemorrhage;'' K26.1, ``Acute duodenal ulcer 
with perforation;'' K26.2, ``Acute duodenal ulcer with both hemorrhage 
and perforation;'' K27.0 ``Acute peptic ulcer, site unspecified with 
hemorrhage;'' K27.1, ``Acute peptic ulcer, site unspecified with 
perforation;''

[[Page 47524]]

K27.2, ``Acute peptic ulcer, site unspecified with both hemorrhage and 
perforation;'' K28.0, ``Acute gastrojejunal ulcer with hemorrhage;'' 
K28.1, ``Acute gastrojejunal ulcer with perforation;'' K28.2, ``Acute 
gastrojejunal ulcer with both hemorrhage and perforation;'' and K29.01, 
``Acute gastritis with bleeding.'' Upon review of these codes, we 
recognize that they represent conditions with more specificity than 
originally considered because of the bleeding (or perforation) that is 
part of the conditions and that they would more likely be found in SNF 
patients.'' Therefore, we proposed to remap these ICD-10 codes to 
``Medical Management.''
    We also received a comment requesting we consider remapping M62.81, 
``Muscle weakness (generalized)'' from ``Return to Provider'' to ``Non-
orthopedic Surgery'' with the rationale that there is currently no 
sequela or late-effects ICD-10 code available when patients require 
skilled nursing and therapy due to late effects of resolved infections 
such as pneumonia or urinary tract infections. We considered the 
request and determined that muscle weakness (generalized) is 
nonspecific and if the original condition is resolved, but the 
resulting muscle weakness persists because of the known original 
diagnosis, there are more specific codes that exist that would account 
for why the muscle weakness is on-going, such as muscle wasting or 
atrophy. Therefore, we did not propose this specific remapping. This 
commenter also requested that that we consider remapping R62.7, ``Adult 
failure to thrive'' from ``Return to Provider'' to ``Medical 
Management.'' According to this commenter, physicians often diagnose 
adult failure to thrive when a resident has been unable to have oral 
intake sufficient for survival. Typically, this diagnosis is appended 
when the physician has determined that a feeding tube should be 
considered to provide sufficient intake for survival. According to the 
commenter, it would then appropriately become the primary diagnosis for 
a skilled stay. We considered this request and believe that R6.2 is a 
nonspecific code and SNF primary diagnoses should be coded to the 
highest level of specificity. If the patient has been unable to have 
oral intake, the primary diagnosis (for example, Ulcerative Colitis) 
for admission to a SNF should explain why the patient is unable to have 
oral intake sufficient for survival. Therefore, we did not propose this 
specific remapping.
    We solicited comments on the proposed substantive changes to the 
ICD-10 code mappings discussed previously in this section, as well as 
comments on additional substantive and non-substantive changes that 
commenters believe are necessary. We received public comments on these 
proposals. The following is a summary of the comments we received and 
our responses.
    Comment: Several commenters supported the proposed changes to the 
PDPM ICD-10 mappings. Some commenters expressed concerns with the 
proposed reclassification of certain conditions from a given clinical 
category to a Return to Provider status. For example, some commenters 
stated that, in the case of code F32.A (Depression, unspecified), this 
may be the most appropriate diagnosis, based on the information 
provided in the medical record. These commenters also stated that while 
it may be appropriate to remap code D75.839 to Return to Provider, they 
do not believe the more specific codes discussed in the proposed rule 
for this condition would be appropriate. Similarly, some commenters 
opposed remapping code D89.44 to Return to Provider, as skilled care 
may be necessary to treat the symptoms associated with this condition.
    Response: We appreciate the support for these proposed changes. 
Regarding the comments related to the potential lack of additional 
documentation to support more specific diagnoses, ICD 10 coding 
guidance indicates to code with the highest specificity. The suggestion 
of codes, D47.3 and D75.838, was given to provide examples of more 
specific coding that could potentially be used if appropriate. SNF 
primary diagnoses should be coded to the highest level of specificity. 
By the time a person is in the SNF, the reason for thrombocytosis, 
should be known and since ICD 10 guidelines state that coding should be 
to the highest specificity, the reason for thrombocytosis could be 
listed as the principal diagnosis. Additionally, our goal is to ensure 
that Medicare beneficiaries receive the best care in the appropriate 
place. If a patient requires treatment in a facility for the primary 
reason of depression, Not Otherwise Specified (NOS), then their 
Medicare benefits provide access to treatment in an inpatient 
psychiatric hospital so that the type of depression, as well as 
treatment can be determined by specialists in the field. We remind 
commenters that the ICD-10 mapping reflects diagnoses which may be used 
as the primary diagnosis for a Part-A covered stay, not merely for a 
comorbidity associated with the patient's care. For conditions like 
D89.44 (Hereditary Alpha Tryptasemia), if there are symptoms or 
manifestations of this condition that require skilled care, then those 
symptoms should be provided as the primary diagnosis for the SNF stay, 
rather than the underlying condition which, often times, may be treated 
using oral medications.
    Comment: Some commenters stated that CMS should reconsider mapping 
code M62.81 (Muscle weakness, generalized) and R62.7 (Adult failure to 
thrive) to a clinical category, as these conditions may serve as the 
source of treatment to maintain the patient's existing functional 
status before further decline.
    Response: We considered this request and continue to believe that 
muscle weakness (generalized) is nonspecific and if the original 
condition is resolved, but the resulting muscle weakness persists 
because of the known original diagnosis, there are more specific codes 
that exist that would account for why the muscle weakness is on-going. 
This symptom, without any specification of the etiology or severity, is 
not a reason for daily skilled care in a SNF. Patients with generalized 
weakness should obtain a more specific diagnosis causing the 
generalized weakness. The specific diagnosis should be used to develop 
an appropriate care plan can for the patient. Similarly, in the case of 
a failure to thrive, this diagnosis is nonspecific and does not suggest 
the interventions needed to care for the patient, thus it should not be 
used as a reason for SNF admission. It may indicate that the patient's 
condition has not been thoroughly investigated which would be needed to 
develop an appropriate treatment plan.
    Comment: Several commenters recommended that CMS consider revising 
the PDPM ICD-10 mapping to reclassify certain humeral fracture codes. 
These commenters highlighted that certain select encounter codes for 
humeral fracture are permitted to be coded under the current ICD-10 
mapping, but not other encounter codes. The commenters suggested that 
all the encounter codes associated with these fracture codes be 
included in the appropriate clinical category.
    Response: We appreciate the commenters' suggestion and agree that 
the various encounter codes should be treated in the same manner. We 
will examine the specific codes suggested to determine the most 
efficient manner for addressing this discrepancy.
    Comment: Several commenters raised concerns with areas of 
discordance between the PDPM ICD-10 mapping

[[Page 47525]]

and the Medicare Code Edits (MCE) listing used by Medicare 
Administrative Contractors (MACs) when evaluating the primary diagnosis 
codes listed on claims. These commenters referred to instances when 
claims were denied for including a primary diagnosis code that may be 
found in the PDPM ICD-10 mapping as a valid code but is not accepted by 
the MACs. These commenters recommended that CMS seek to align these two 
code lists.
    Response: We appreciate commenters raising this concern. While 
outside the scope of this rule, we intend to consult with MACs on this 
issue to determine an appropriate path forward.
    After consideration of public comments, we finalize the proposed 
changes to the PDPM ICD-10 mappings, as proposed.

C. Recalibrating the PDPM Parity Adjustment

1. Background
    On October 1, 2019, we implemented the Patient Driven Payment Model 
(PDPM) under the SNF PPS, a new case-mix classification model that 
replaced the prior case-mix classification model, the Resource 
Utilization Groups, Version IV (RUG-IV). As discussed in the FY 2019 
SNF PPS final rule (83 FR 39256), as with prior system transitions, we 
proposed and finalized implementing PDPM in a budget neutral manner. 
This means that the transition to PDPM, along with the related policies 
finalized in the FY 2019 SNF PPS final rule, were not intended to 
result in an increase or decrease in the aggregate amount of Medicare 
Part A payment to SNFs. We believe ensuring parity is integral to the 
process of providing ``for an appropriate adjustment to account for 
case mix'' that is based on appropriate data in accordance with section 
1888(e)(4)(G)(i) of the Act. Section V.I. of the FY 2019 SNF PPS final 
rule (83 FR 39255 through 39256) discusses the methodology that we used 
to implement PDPM in a budget neutral manner. Specifically, we 
multiplied each of the PDPM case-mix indexes (CMIs) by an adjustment 
factor that was calculated by comparing total payments under RUG-IV 
using FY 2017 claims and assessment data (the most recent final claims 
data available at the time) to what we expected total payments would be 
under PDPM based on that same FY 2017 claims and assessment data. In 
the FY 2020 SNF PPS final rule (84 FR 38734 through 38735), we 
finalized an updated standardization multiplier and parity adjustment 
based on FY 2018 claims and assessment data. This analysis resulted in 
an adjustment factor of 1.46, by which all the PDPM CMIs were 
multiplied so that total estimated payments under PDPM would be equal 
to total actual payments under RUG-IV, assuming no changes in the 
population, provider behavior, and coding. By multiplying each CMI by 
1.46, the CMIs were inflated by 46 percent to achieve budget 
neutrality.
    We used a similar type of parity adjustment in FY 2011 when we 
transitioned from RUG-III to RUG-IV. As discussed in the FY 2012 SNF 
PPS final rule (76 FR 48492 through 48500), we observed that once 
actual RUG-IV utilization data became available, the actual RUG-IV 
utilization patterns differed significantly from those we had projected 
using the historical data that grounded the RUG-IV parity adjustment. 
We then used actual FY 2011 RUG-IV utilization data to recalibrate the 
RUG-IV parity adjustment and decreased the nursing CMIs for all RUG-IV 
therapy groups from an adjustment factor of 61 percent to an adjustment 
factor of 19.84 percent, while maintaining the original 61 percent 
total nursing CMI increase for all non-therapy RUG-IV groups. As a 
result of this recalibration, FY 2012 SNF PPS rates were reduced by 
12.5 percent, or $4.47 billion, in order to achieve budget neutrality 
under RUG-IV prospectively.
    Since PDPM implementation, we have closely monitored SNF 
utilization data to determine if the parity adjustment finalized in the 
FY 2020 SNF PPS final rule (84 FR 38734 through 38735) provided for a 
budget neutral transition between RUG-IV and PDPM as intended. Similar 
to what occurred in FY 2011 with RUG-IV implementation, we observed 
significant differences between the expected SNF PPS payments and case-
mix utilization based on historical data, and the actual SNF PPS 
payments and case-mix utilization under PDPM, based on FY 2020 and FY 
2021 utilization data. As discussed in the FY 2022 SNF PPS final rule 
(86 FR 42466 through 42469), we initially estimated that PDPM may have 
inadvertently triggered a significant increase in overall payment 
levels under the SNF PPS of approximately 5 percent and that 
recalibration of the parity adjustment may be warranted.
    Following the methodology utilized in calculating the initial PDPM 
parity adjustment, we would typically use claims and assessment data 
for a given year to classify patients under both the current system and 
the prior system to compare aggregate payments and determine an 
appropriate adjustment factor to achieve parity. However, we 
acknowledged that the typical methodology for recalibrating the parity 
adjustment may not provide an accurate recalibration under PDPM for 
several reasons. First, the ongoing COVID-19 PHE has had impacts on 
nursing home care protocols and many other aspects of SNF operations 
that affected utilization data in FY 2020 and FY 2021. Second, given 
the significant differences in payment incentives and patient 
assessment requirements between RUG-IV and PDPM, using the same 
methodology that we have used in the past to calculate a recalibrated 
PDPM parity adjustment could lead to a potential overcorrection in the 
recalibration.
    In the FY 2022 SNF PPS proposed rule (86 FR 19987 through 19989), 
we solicited comments from interested parties on a potential 
methodology for recalibrating the PDPM parity adjustment to account for 
these potential effects without compromising the accuracy of the 
adjustment. After considering the feedback and recommendations 
received, summarized in the FY 2022 SNF PPS final rule (86 FR 42469 
through 42471), we proposed an updated recalibration methodology and 
presented results from our data monitoring efforts to provide 
transparency on our efforts to parse out the effects of PDPM 
implementation from the effects of the COVID-19 PHE in section V.C.2.d. 
of the proposed rule. We solicited comments on this proposal for 
recalibrating the PDPM parity adjustment to ensure that PDPM is 
implemented in a budget neutral manner, as originally intended. We 
received public comments on these proposals. The following is a summary 
of the comments we received and our responses.
    Comment: Some commenters noted that they understood the need to 
implement PDPM in a budget neutral manner, but requested that CMS 
reconsider the necessity of the parity adjustment. These commenters 
stated that it was unreasonable to expect a budget-neutral transition 
given the ``new normal'' that includes the impacts of COVID-19 and 
questioned the appropriateness of comparing a pre-COVID-19 RUG-IV 
system to a COVID-19 era PDPM system. Other commenters stated that even 
if the COVID-19 PHE had not occurred, it was unreasonable to expect a 
budget-neutral transition given that PDPM encourages providers to put a 
greater emphasis on capturing all patient characteristics. That is, 
while providers have always treated and considered such highly 
individualized characteristics, commenters noted that these were not 
necessarily captured by the MDS under the previous RUG-IV

[[Page 47526]]

payment system and were underrepresented in the data. Therefore, 
commenters disagreed with the notion that an overpayment is occurring 
between the PDPM model and RUG-IV model; rather, they stated the 
increased cost is an appropriate reflection of better capturing of 
patient complexities on the MDS.
    Response: We believe there were significant changes in the coding 
of patient acuity directly following PDPM implementation and before the 
COVID-19 PHE that would have warranted a parity adjustment. In section 
V.C.2.d. of the proposed rule, we described numerous changes observed 
in the data that demonstrate the different impacts of PDPM 
implementation and the COVID-19 PHE on reported patient clinical 
acuity. For example, commenters stated that limitations regarding 
visitation and other infection control protocols due to the PHE led to 
higher levels of mood distress, cognitive decline, functional decline, 
compromised skin integrity, change in appetite, and weight loss 
requiring diet modifications among the non-COVID-19 population. 
However, our data show that many of these metrics had already exhibited 
clear changes concurrent with PDPM implementation and well before the 
start of the COVID-19 PHE. For example, the data showed an average of 4 
percent of stays with depression and 5 percent of stays with a 
swallowing disorder in the fiscal year prior to PDPM implementation (FY 
2019). In the 3 months directly following PDPM implementation and 
before the start of the COVID-19 PHE (October 2019 through December 
2019), these averages increased to 11 percent of stays with depression 
and 17 percent of stays with a swallowing disorder.
    The parity adjustment is meant to correct for the very changes in 
coding intensity of patient characteristics that these commenters 
describe, and similar changes in provider behavior and coding in 
response to payment incentives have occurred in past transitions from 
one payment system to another. As discussed in the FY 2012 SNF PPS 
final rule (76 FR 48492 through 48500), we implemented a similar type 
of parity adjustment in 2011 after observing a large difference between 
expected and actual utilization patterns in the transition from the 
RUG-III to RUG-IV payment system. As with prior system transitions, we 
proposed and finalized implementing PDPM in a budget neutral manner in 
the FY 2019 SNF PPS final rule (83 FR 39256). This meant that the 
transition to PDPM was not intended to result in an increase or 
decrease in the aggregate amount of Medicare Part A payment to SNFs.
    Comment: Some commenters pointed to unintended consequences of 
implementing the parity adjustment on Medicare beneficiaries and other 
residents. Medicare's reimbursement rates for SNF care are higher than 
those of other payers such as Medicaid, and therefore, are a crucial 
support for an otherwise financially challenged SNF industry, 
particularly given the ongoing COVID-19 PHE. Any decrease to those 
rates would be acutely detrimental, especially to smaller, independent 
providers serving low-income populations, possibly resulting in 
facility closures and decreased access to care for beneficiaries.
    Response: We remind commenters that Medicare Part A payments under 
the SNF PPS are solely intended to reflect the costs of providing care 
to beneficiaries covered under Medicare Part A and are not intended to 
augment payments from other payers that may be lower than Medicare Part 
A payment rates.
    After consideration of public comments, we are finalizing our 
proposal to recalibrate the PDPM parity adjustment to ensure that PDPM 
is implemented in a budget neutral manner, as originally intended.
2. Methodology for Recalibrating the PDPM Parity Adjustment
a. Effect of COVID-19 Public Health Emergency
    FY 2020 was a year of significant change under the SNF PPS. In 
addition to implementing PDPM on October 1, 2019, a national COVID-19 
PHE was declared beginning January 27, 2020. With the announcement of 
the COVID-19 PHE, and under authority granted us by section 1812(f) of 
the Act, we issued two temporary modifications to the limitations of 
section 1861(i) of the Act beginning March 1, 2020, that affected SNF 
coverage. The 3-day prior hospitalization modification allows a SNF to 
furnish Medicare Part A services without requiring a 3-day qualifying 
hospital stay, and the benefit period exhaustion modification allows a 
one-time renewal of benefits for an additional 100 days of Part A SNF 
coverage without a 60-day break in a spell of illness. These COVID-19 
PHE-related modifications allow coverage for beneficiaries who would 
not typically be able to access the Part A SNF benefit, such as 
community and long-term care nursing home patients without a prior 
qualifying hospitalization.
    We acknowledged that the COVID-19 PHE had significant impacts on 
nursing home care protocols and many other aspects of SNF operations. 
For months, infection and mortality rates were high among nursing home 
residents. Additionally, facilities were often unable to access testing 
and affordable personal protective equipment (PPE) and were effectively 
closed to visitors and barred from conducting communal events to help 
control infections (March 2021 MedPAC Report to Congress, 204, 
available at <a href="https://www.medpac.gov/wp-content/uploads/2021/10/mar21_medpac_report_ch7_sec.pdf">https://www.medpac.gov/wp-content/uploads/2021/10/mar21_medpac_report_ch7_sec.pdf</a>). As described in the FY 2022 SNF PPS 
final rule (86 FR 42427), many commenters voiced concerns about 
additional costs due to the COVID-19 PHE that could be permanent due to 
changes in patient care, infection control staff and equipment, 
personal protective equipment, reporting requirements, increased wages, 
increased food prices, and other necessary costs. Some commenters who 
received CARES Act Provider Relief funds indicated that those funds 
were not enough to cover these additional costs. Additionally, a few 
commenters from rural areas stated that their facilities were heavily 
impacted from the additional costs, particularly the need to raise 
wages, and that this could affect patients' access to care.
    However, we noted that the relevant issue for a recalibration of 
the PDPM parity adjustment is whether or not the COVID-19 PHE caused 
changes in the SNF case-mix distribution. In other words, the issue is 
whether patient classification, or the relative percentages of 
beneficiaries in each PDPM group, was different than what it would have 
been if not for the COVID-19 PHE. The parity adjustment addresses only 
to the transition between case-mix classification models (in this case, 
from RUG-IV to PDPM) and is not intended to include other unrelated SNF 
policies such as the market basket increase, which is intended to 
capture the change over time in the input prices for skilled nursing 
facility services described previously. A key aspect of our 
recalibration methodology, described in further detail later in this 
section, involved parsing out the impacts of the COVID-19 PHE and the 
PHE-related modifications from those that occurred solely, or at least 
principally, due to the implementation of PDPM.
b. Effect of PDPM Implementation
    As discussed in the FY 2022 SNF PPS final rule (86 FR 42467), we 
presented evidence that the transition to PDPM impacted certain aspects 
of SNF patient classification and care provision prior to the beginning 
of the COVID-19 PHE.

[[Page 47527]]

For example, our data showed that SNF patients received an average of 
approximately 93 therapy minutes per utilization day in FY 2019. 
Between October 2019 and December 2019, the 3 months after PDPM 
implementation and before the onset of the COVID-19 PHE, the average 
number of therapy minutes SNF patients received per day dropped to 
approximately 68 minutes per utilization day, a decrease of 
approximately 27 percent. Given this reduction in therapy provision 
since PDPM implementation, we found that using patient assessment data 
collected under PDPM would lead to a significant underestimation of 
what RUG-IV case-mix and payments would have been (for example, the 
Ultra-High and Very-High Rehabilitation assignments are not nearly as 
prevalent using PDPM-reported data), which would in turn lead to an 
overcorrection in the parity adjustment. Additionally, there were 
significant changes in the patient assessment schedule such as the 
removal of the Change of Therapy Other Medicare Required Assessment 
(COT-OMRA). Without having an interim assessment between the 5-day 
assessment and the patient's discharge from the facility, we were 
unable to determine if the RUG-IV group into which the patient 
classified on the 5-day assessment changed during the stay, or if the 
patient continued to receive an amount of therapy services consistent 
with the initial RUG-IV classification.
    Therefore, given the significant differences in payment incentives 
and patient assessment requirements between RUG-IV and PDPM, using the 
same methodology that we have used in the past to calculate a 
recalibrated PDPM parity adjustment could lead to a potential 
overcorrection in the recalibration. In the FY 2022 SNF PPS proposed 
rule (86 FR 19988), we described an alternative recalibration 
methodology that used FY 2019 RUG-IV case-mix distribution as a proxy 
for what total RUG-IV payments would have been absent PDPM 
implementation. We believed that this methodology provided a more 
accurate representation of what RUG-IV payments would have been, were 
it not for the changes precipitated by PDPM implementation, than using 
data reported under PDPM to reclassify these patients under RUG-IV. We 
solicited comments from interested parties on this aspect of our 
potential methodology for recalibrating the PDPM parity adjustment and 
they were generally receptive to this approach, as described in the FY 
2022 SNF PPS final rule (86 FR 42468 through 42470).
c. FY 2022 SNF PPS Proposed Rule Potential Parity Adjustment 
Methodology and Comments
    In the FY 2022 SNF PPS proposed rule (86 FR 19986 through 19987), 
we presented a potential methodology that attempted to account for the 
effects of the COVID-19 PHE by removing those stays with a COVID-19 
diagnosis and those stays using a PHE-related modification from our 
data set, and we solicited comment on how interested parties believed 
the COVID-19 PHE affected the distribution of patient case-mix in ways 
that were not sufficiently captured by our subset population 
methodology. According to our data analysis, 10 percent of SNF stays in 
FY 2020 and 17 percent of SNF stays in FY 2021 included a COVID-19 ICD-
10 diagnosis code either as a primary or secondary diagnosis, while 17 
percent of SNF stays in FY 2020 and 27 percent of SNF stays in FY 2021 
utilized a PHE-related modification (with the majority of these cases 
using the prior hospitalization modification), as identified by the 
presence of a ``Disaster Relief (DR)'' condition code on the SNF claim. 
As compared to prior years, when approximately 98 percent of SNF 
beneficiaries had a qualifying prior hospital stay, approximately 86 
percent and 81 percent of SNF beneficiaries had a qualifying prior 
hospitalization in FY 2020 and FY 2021, respectively. These general 
statistics are important, as they highlight that while the PHE for 
COVID-19 certainly impacted many aspects of nursing home operations, 
the large majority of SNF beneficiaries entered into Part A SNF stays 
in FY 2020 and FY 2021 as they would have in any other year; that is, 
without using a PHE-related modification, with a prior hospitalization, 
and without a COVID-19 diagnosis.
    Moreover, as discussed FY 2022 SNF PPS proposed rule (86 FR 19988), 
we found that even after removing those using a PHE-related 
modification and those with a COVID-19 diagnosis from our data set, the 
observed inadvertent increase in SNF payments since PDPM was 
implemented was approximately the same. To calculate expected total 
payments under RUG-IV, we used the percentage of stays in each RUG-IV 
group in FY 2019 and multiplied these percentages by the total number 
of FY 2020 days of service. We then multiplied the number of days for 
each RUG-IV group by the RUG-IV per diem rate, which we obtained by 
inflating the FY 2019 SNF PPS RUG-IV rates by the FY 2020 market basket 
update factor. The total payments under RUG-IV also accounted for the 
human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/
AIDS) add-on of a 128 percent increase in the PPS per diem payment 
under RUG-IV, and a provider's FY 2020 urban or rural status. To 
calculate the actual total payments under PDPM, we used data reported 
on FY 2020 claims. Specifically, we used the Health Insurance 
Prospective Payment System (HIPPS) code on the SNF claim to identify 
the patient's case-mix assignment and associated CMIs, utilization days 
on the claim to calculate stay payments and the variable per diem 
adjustment, the presence of an HIV diagnosis on the claim to account 
for the PDPM AIDS add-on of 18 percent to the nursing component and the 
highest point value (8 points) to the NTA component, and a provider's 
urban or rural status. Using this approach, and as described in the FY 
2022 SNF PPS final rule (86 FR 42468 through 42469), we initially 
estimated a 5.3 percent increase in aggregate spending under PDPM as 
compared to expected total payments under RUG-IV for FY 2020 when 
considering the full SNF population, and a 5 percent increase in 
aggregate spending under PDPM for FY 2020 when considering the subset 
population. This finding suggested that a large portion of the changes 
observed in SNF utilization are due to PDPM and not the PHE for COVID-
19, as the ``new'' population of SNF beneficiaries (that is, COVID-19 
patients and those using a PHE-related modification) did not appear to 
be the main cause of the increase in SNF payments after implementation 
of PDPM. Although these results are similar, we believed it would be 
more appropriate to pursue a potential recalibration using the subset 
population.
    As described in the FY 2022 SNF PPS final rule (86 FR 42469 through 
42471), some commenters agreed with our approach, stating that our 
subset population was a reasonable method to account for the effect of 
the COVID-19 PHE, and made a few suggestions for improvements. They 
stated that our analysis may have undercounted COVID-19 patients 
because there was no COVID-19 specific diagnosis code available before 
April 2020 and a shortage of tests at the beginning of the PHE led to 
SNFs being unable to report COVID-19 cases. To address these issues, 
commenters suggested that CMS consider using non-specific respiratory 
diagnoses or depression as proxies for COVID-19 cases. While we 
considered this option, we believed that such a change would 
overestimate the population to be excluded due to the

[[Page 47528]]

non-specific nature of those diagnoses. Additionally, because we did 
not provide our COVID-19 population definition in the FY 2022 SNF PPS 
proposed or final rules, commenters were concerned that our methodology 
did not include COVID-19 diagnoses from the Minimum Data Set (MDS) 
patient assessments in addition to SNF claims. Commenters were also 
concerned that we did not exclude transitional stays resulting from 
CMS' instruction to assess all patients anew in October 2019 using the 
PDPM MDS assessment, even though some patients were in the middle or 
end of their Medicare Part A coverage. We addressed these concerns by 
sharing a revised COVID-19 population definition in section V.C.2.d. of 
the proposed rule.
    However, many commenters expressed concern that our subset 
population methodology would not accurately represent what the SNF 
patient case-mix would look like outside of the COVID-19 PHE 
environment, stating that data collected during the PHE was entirely 
too laden with COVID-19 related effects on the entire SNF population to 
be utilized and pointing to multiple reasons for greater clinical 
acuity even among our subset population. For example, because elective 
surgeries were halted, those admitted were the most compromised who 
could not be cared for at home. Additionally, limitations regarding 
visitation and other infection control protocols led to higher levels 
of mood distress, cognitive decline, functional decline, compromised 
skin integrity, change in appetite, and weight loss requiring diet 
modifications. In response to these comments, we conducted 
comprehensive data analysis and monitoring to identify changes in 
provider behavior and payments since implementing PDPM and presented a 
revised parity adjustment methodology in section V.C.2.d. of the 
proposed rule that we believed more accurately accounted for these 
changes while excluding the effect of the COVID-19 PHE on the SNF 
population.
d. FY 2023 SNF PPS Proposed Parity Adjustment Methodology
    As outlined in section V.C.2.d. of the proposed rule, we proposed a 
revised methodology for the calculating the parity adjustment that 
considers the comments received in response to the potential 
methodology described in the FY 2022 SNF PPS proposed rule (86 FR 19986 
through 19987). In response to the comments received about the subset 
population methodology, we modified our definition of COVID-19, which 
we derived from the Centers for Disease Control and Prevention (CDC) 
coding guidelines, to align with the definition used by publicly 
available datasets from CMS's Office of Enterprise Data and Analytics 
(OEDA) and found no significant impact on our calculations. For the FY 
2022 SNF proposed rule, we defined the COVID-19 population to include 
stays that have either the interim COVID-19 code B97.29 recorded as a 
primary or secondary diagnosis in addition to one of the symptom codes 
J12.89, J20.8, J22, or J80, or the new COVID-19 code U07.1 recorded as 
a primary or secondary diagnosis on their SNF claims or MDS 5-day 
admission assessments. For the FY 2023 SNF proposed rule, we defined 
the COVID-19 population to include stays that have the interim COVID-19 
code B97.29 from January 1, 2020 to March 31, 2020 or the new COVID-19 
code U07.1 from April 1, 2020 onward recorded as a primary or secondary 
diagnosis on their SNF claims, MDS 5-day admission assessments, or MDS 
interim payment assessments. Both FY 2022 and FY 2023 definitions of 
the COVID-19 population excluded transitional stays. We noted that we 
found no significant impact on our calculations, as the COVID-19 
population definition change only increased the stay count of our 
subset population by less than 1 percent.
    In response to the comments described previously and based on 
additional data collection through FY 2021, we identified a 
recalibration methodology that we believed better accounted for COVID-
19 related effects. We proposed to use the same type of subset 
population discussed in the FY 2022 SNF PPS proposed rule (86 FR 
19960), which excluded stays that either used a section 1812(f) of the 
Act modification or that included a COVID-19 diagnosis, with a 1-year 
``control period'' derived from both FY 2020 and FY 2021 data. 
Specifically, we used 6 months of FY 2020 data from October 2019 
through March 2020 and 6 months of FY 2021 data from April 2021 through 
September 2021 (which our data suggests were periods with relatively 
low COVID-19 prevalence) to create a full 1-year period with no 
repeated months to account for seasonality effects. As shown in Table 
11, we believed this combined approach provided the most accurate 
representation of what the SNF case-mix distribution would look like 
under PDPM outside of a COVID-19 PHE environment. While using the 
subset population method alone for FY 2020 and FY 2021 data results in 
differences of 0.31 percent and 0.40 percent between the full and 
subset populations, respectively, introducing the control period closed 
the gap between the full and subset population adjustment factors to 
0.02 percent, suggesting that the control period captures additional 
COVID-19 related effects on patient acuity that the subset population 
method alone does not. Accordingly, the combined methodology of using 
the subset population with data from the control period resulted in the 
lowest parity adjustment factor. Table 12 shows that while using the 
subset population method would lead to a 4.9 percent adjustment factor 
($1.6 billion) using FY 2020 data and a 5.3 percent adjustment factor 
($1.8 billion) using FY 2021 data, introducing the control period 
reduced the adjustment factor to 4.6 percent ($1.5 billion). We note 
that these estimates are revised from those provided in the FY 2023 SNF 
PPS proposed rule, based on a more recent SNF baseline budget estimate 
provided by the CMS Office of the Actuary. The robustness of the 
control period approach was further demonstrated by the fact that using 
data from the control period, with either the full or subset 
population, would lead to approximately the same parity adjustment 
factor of 4.58 percent as compared to 4.6 percent.

[[Page 47529]]

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[GRAPHIC] [TIFF OMITTED] TR03AU22.012

    Our data analysis and monitoring efforts provided further support 
for the accuracy and appropriateness of a 4.6 percent parity adjustment 
factor, as we have identified numerous changes that demonstrate the 
different impacts of PDPM implementation and the COVID-19 PHE on 
reported patient clinical acuity. As described earlier, commenters 
stated that limitations regarding visitation and other infection 
control protocols due to the PHE led to higher levels of mood distress, 
cognitive decline, functional decline, compromised skin integrity, 
change in appetite, and weight loss requiring diet modifications among 
the non-COVID-19 population. However, our data showed that most of 
these metrics, with the exception of functional decline and compromised 
skin integrity, had already exhibited clear changes concurrent with 
PDPM implementation and well before the start of the COVID-19 PHE. For 
example, in regard to higher levels of mood distress and cognitive 
decline, we observed an average of 4 percent of stays with depression 
and 40 percent of stays with cognitive impairment, with an average mood 
score of 1.9, in the fiscal year prior to PDPM implementation (FY 
2019). In the 3 months directly following PDPM implementation and 
before the start of the COVID-19 PHE (October 2019 to December 2019), 
these averages increased to 11 percent of stays with depression and 44 
percent of stays with cognitive impairment, with an average mood scale 
of 2.9. As for change in appetite and weight loss requiring diet 
modifications, we observed an average of 15 percent of stays with any 
SLP comorbidity, 5 percent of stays with a swallowing disorder, and 22 
percent of stays with a mechanically altered diet in FY 2019. In the 3 
months directly following PDPM implementation, these averages increased 
to 19 percent of stays with any SLP comorbidity, 17 percent of stays 
with a swallowing disorder, and 25 percent of stays with a mechanically 
altered diet. Notably, we also observed that the percentage of stays 
with a swallowing disorder that did not also receive a mechanically 
altered diet increased from 1 percent in FY 2019 to 5 percent in the 3 
months directly following PDPM implementation. While many of these 
metrics increased further after the start of the COVID-19 PHE, they 
remained elevated at around their post-PDPM implementation levels even 
during periods of low COVID-19 prevalence. As a result, our parity 
adjustment calculations remained much the same even during months when 
rates of COVID-19 cases were quite low, suggesting that patient case 
mix classification has stabilized independent of the ongoing COVID-19 
PHE.
    Another reason that commenters cited to explain the greater 
clinical acuity among the subset population is that, because elective 
surgeries were halted, patients who were admitted were more severely 
ill and could not be treated at home. We acknowledged that the subset 
population methodology, or any method predicated on data from the 
COVID-19 PHE period, may not accurately represent what SNF patient 
case-mix would look like outside of the COVID-19 PHE environment 
because while we could remove data that we believed were due to COVID-
19 impacts, it was more difficult to add data back in that was missing 
due to the COVID-19 PHE.
    However, we believed that the addition of the control period to the 
subset population methodology helped to resolve this issue. For 
example, there likely would have been more joint replacements were it 
not for the COVID-19 PHE. Our data showed that the rate of major joint 
replacement or spinal surgery decreased from 7.6 percent of stays in FY 
2019, to 5.5 percent of stays in FY 2021, to 5.2 percent of stays in FY 
2022. Similarly, rates of orthopedic surgery decreased from 9.1 percent 
of stays in FY 2019, to 9.0 percent of stays in FY 2021, to 8.8 percent 
of stays in FY 2022. Using the control period, which excluded the 
periods of highest COVID-19 prevalence and lowest rates of elective 
surgeries, we arrived at rates of 6.4 percent of stays with major joint 
replacement or spinal surgery, and 9.5 percent of stays with orthopedic 
surgery. Therefore, as we noted in section V.C.2.d. the proposed rule, 
we believed that using the control period would be a closer 
representation of SNF patient case-mix outside of a COVID-19 PHE 
environment than using either FY 2021 or FY 2022 data alone.
    Given the results of our data analyses, we proposed adopting the 
methodology based upon the subset population during the control period 
and lowering the PDPM parity adjustment factor from 46 percent to 38 
percent for each of the PDPM case-mix adjusted components if we were to 
implement the 4.6 percent parity adjustment factor in FY 2023. We noted 
that the parity adjustment would be calculated and applied at a 
systemic level to all facilities paid under the SNF PPS, and there may 
be variation between facilities based on their unique patient 
population, share of non-case-

[[Page 47530]]

mix component payment, and urban or rural status. We invited comments 
on the methodology outlined in section V.C.2.d. of the proposed rule 
for recalibrating the PDPM parity adjustment, as well as the findings 
of our analysis described throughout section V.C.2. of the proposed 
rule.
    To assist commenters in providing comments on this issue, we also 
posted a file on the CMS website at <a href="https://www.cms.gov/medicare/medicare-fee-for-service-payment/snfpps">https://www.cms.gov/medicare/medicare-fee-for-service-payment/snfpps</a>, which provided the FY 2019 RUG 
IV case-mix distribution and calculation of total payments under RUG-
IV, as well as PDPM case-mix utilization data at the case mix group and 
component level to demonstrate the calculation of total payments under 
PDPM.
    We invited comments on our proposed combined methodology of using 
the subset population and data from the control period for the purposes 
of calculating the recalibrated parity adjustment factor. The following 
is a summary of the comments we received and our responses.
    Comment: A few commenters provided comments in relation to the 
proposed methodology for calculating the parity adjustment. Some 
commenters noted our proposed methodology to be a reasonable and much 
improved approach compared to the approach proposed in FY 2022 SNF PPS 
proposed rule, as our revised methodology addresses many of the key 
issues raised by interested parties (86 FR 42469 through 42471).
    However, one commenter suggested removing August and September 2021 
due to the Delta variant. Another commenter suggested a modified 
control period to eliminate April and May 2021 as patients and 
healthcare personnel were still in the process of receiving the initial 
dose of the COVID-19 vaccine, and August and September 2021 due to 
early phase of the Delta variant surge. The commenter also provided 
analysis regarding COVID-19 spillover effects, which they defined as 
effects that occur in non-COVID-19 patient CMIs when MDS patient 
assessment patterns change from what would have occurred if not for the 
pandemic, using the percentage change over time in various patient 
clinical and zip-code level demographic characteristics, the latter 
used as proxies for the demographics of the SNF population in a 
particular zip code. The commenter stated that some metrics, such as 
HCC risk scores, English proficiency, educational level, and poverty 
level returned to or dropped below pre-COVID-19 PHE baseline levels, 
suggesting that the revised parity adjustment factor is adequate to 
account for COVID-19 spillover effects. However, the commenter also 
stated that other metrics, such as PDPM component CMI trends; MDS items 
for respiratory failure, pressure ulcers, and depression; and claim 
items for age, race, dual, and disability status did not return to pre-
COVID-19 PHE baseline levels, suggesting that the revised parity 
adjustment factor may not be adequate to account for COVID-19 spillover 
effects. Based on these findings, the commenters stated that they 
believed that there are COVID-19 spillover effects that remain despite 
CMS's improved parity adjustment approach, and they recommended that 
CMS further evaluate the data to exclude the months of April, May, 
August, and September 2021 from the parity adjustment calculations, as 
discussed above. The commenter also stated that modifying the control 
period in this way would mitigate most of the remaining spillover 
effects and would result in an additional 0.1 to 0.2 percent reduction 
below the proposed 4.6 percent parity adjustment amount.
    Response: We note that many of the differences shown in the data 
the commenter provided are quite small (some less than a small fraction 
of 1 percent) and could be attributed to the continuation of the impact 
of PDPM implementation or regular year-to-year variations in the 
composition of the SNF population (or zip-code level population more 
generally), rather than true COVID-19 spillover effects. We also note 
that the commenter did not consider data from before PDPM 
implementation to support what they believe should be a more 
appropriate parity adjustment factor, as they used data from October 
2019 to February 2020 to define their ``pre-pandemic'' study 
population.
    In contrast, the data analyses we presented earlier in the preamble 
show significant changes in the coding of patient case mix concurrent 
with PDPM implementation. For example, in the year prior to PDPM 
implementation (FY 2019), we observed an average of 4 percent of stays 
coded with depression and 5 percent of stays coded with a swallowing 
disorder. In the 3 months directly following PDPM implementation and 
before the start of the COVID-19 PHE (October 2019 to December 2019), 
these averages increased to 11 percent of stays coded with depression 
and 17 percent of stays coded with a swallowing disorder. While these 
and other clinical metrics increased in acuity after the start of the 
COVID 19 PHE in January 2020, they remained elevated at around their 
immediate post-PDPM implementation levels even during periods of low 
COVID-19 prevalence. As a result, our parity adjustment calculations 
remained much the same even during months when rates of COVID-19 cases 
were quite low, suggesting that the 4.6 percent parity adjustment 
factor captures the effect of PDPM implementation and excludes the 
effects of the COVID-19 PHE.
    Moreover, we believe that it is important to have an adequate and 
representative amount of time in both 2020 and 2021 upon which to 
calculate a parity adjustment factor, rather than choosing specific 
months that would result in the lowest possible parity adjustment 
factor. Our analysis of Medicare Part A data from SNFs in April, May, 
August, and September 2021 show that these were months of low COVID-19 
prevalence in SNFs compared to other months in FY 2020 and FY 2021. We 
intentionally chose 6 months of FY 2020 data from October 2019 through 
March 2020 and 6 months of FY 2021 data from April 2021 through 
September 2021, which our Medicare Part A monitoring data showed were 
periods with the lowest COVID-19 prevalence in SNFs, to create a full 
1-year period with no repeated months to account for seasonality 
effects. While we used less than a year of data in calculating the 
recalibration of the RUG-IV parity adjustment when transitioning 
between RUG-III and RUG-IV in FY 2012 (76 FR 48493), that change was 
between two payment models that were, in several ways, very similar 
(for example, the relationship between therapy intensity and payment 
classification). This time, in light of the significant differences 
between the PDPM and the RUG-IV payment models, in addition to the 
impact of the COVID-19 PHE, we believe it is necessary to use a full 
year of data.
    After consideration of these public comments, we are finalizing a 
parity adjustment factor of 4.6 percent using the combined subset 
population and control period methodology, as proposed. As discussed 
later in section VI.C.4. of this final rule, we are finalizing the 
implementation of the parity adjustment with a 2-year phase-in period, 
which means that, for each of the PDPM case-mix adjusted components, we 
would lower the PDPM parity adjustment factor from 46 percent to 42 
percent in FY 2023 and we would further lower the PDPM parity 
adjustment factor from 42 percent to 38 percent in FY 2024.

[[Page 47531]]

3. Methodology for Applying the Recalibrated PDPM Parity Adjustment
    As discussed in the FY 2022 SNF PPS proposed rule (86 FR 19988), we 
believed it would be appropriate to apply the recalibrated parity 
adjustment across all PDPM CMIs in equal measure, as the initial 
increase to the PDPM CMIs to achieve budget neutrality was applied 
equally, and therefore, this method would properly implement and 
maintain the integrity of the PDPM classification methodology as it was 
originally designed. Tables 5 and 6 in section III.C. of the proposed 
rule set forth what the PDPM CMIs and case-mix adjusted rates would be 
if we apply the recalibration methodology in equal measure in FY 2023.
    We acknowledged that we received several comments in response to 
last year's rule objecting to this approach given that our data 
analysis, presented in Table 23 of the FY 2022 SNF PPS proposed rule 
(86 FR 19987), showed significant increases in the average CMI for the 
SLP, Nursing, and NTA components for both the full and subset FY 2020 
populations as compared to what was expected, with increases of 22.6 
percent, 16.8 percent, and 5.6 percent, respectively, for the full FY 
2020 SNF population. As described in the FY 2022 SNF PPS final rule (86 
FR 42471), some commenters disagreed with adjusting the CMIs across all 
case-mix adjusted components in equal measure, suggesting that this 
approach would harm patient care by further reducing PT and OT therapy 
minutes. Instead, the commenters recommended a targeted approach that 
focuses the parity adjustment on the SLP, Nursing, and NTA components 
in proportion to how they are driving the unintended increase observed 
under PDPM.
    We considered these comments, but believe that it would be most 
appropriate to propose applying the parity adjustment across all 
components equally. First, as described earlier, the initial increase 
to the PDPM CMIs to achieve budget neutrality was applied across all 
components, and therefore, it would be appropriate to implement a 
revision to the CMIs in the same way. Second, the reason we did not 
observe the same magnitude of change in the PT and OT components is 
that, in designing the PDPM payment system, the data used to help 
determine what payment groups SNF patients would classify into under 
PDPM was collected under the prior payment model (RUG-IV), which 
included incentives that encouraged significant amounts of PT and OT. 
Given that PT and OT were furnished in such high amounts under RUG-IV, 
we had already assumed that a significant portion of patients would be 
classified into the higher paying PT and OT groups corresponding to 
having a Section GG function score of 10 to 23. Therefore, this left 
little room for additional increases in PT and OT classification after 
PDPM implementation. In other words, the PT and OT components results 
were as expected according to the original design of PDPM, while the 
SLP, Nursing, and NTA results were not.
    However, to fully explore the alternative targeted approach that 
commenters suggested, we updated our analysis of the average CMI by 
PDPM component from Table 23 of the FY 2022 SNF PPS proposed rule (86 
FR 19987) and found that a similar pattern still holds when comparing 
the expected average CMIs for FY 2019 and the expected actual CMIs for 
the subset population during the control period. Table 13 shows 
significant increases in average case-mix of 18.6 percent for the SLP 
component and the 10.8 percent for the Nursing component, a moderate 
increase of 3.0 percent for the NTA component, and a slight increase of 
0.4 percent for the PT and OT components, respectively. We also 
provided Table 14 to show the potential impact of applying the 4.6 
percent PDPM parity adjustment factor to the PDPM CMIs in a targeted 
manner in FY 2023, instead of an equal approach as presented in Tables 
5 and 6 in section III.C. of the proposed rule. We invited comments on 
whether interested parties believe a targeted approach is preferable to 
our proposed equal approach.
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[[Page 47532]]


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BILLING CODE 4120-01-C
    We received public comments on these proposals. The following is a 
summary of the comments we received and our responses.
    Comment: A few commenters supported our proposal to apply the 
parity adjustment evenly over all CMIs for all case-mix groups, the 
same approach that was taken when the original adjustment was 
implemented. One commenter stated that the targeted approach, which 
results in a larger reduction for some CMIs than others, may have 
unintended adverse effects on some facilities and that an equally 
distributed percentage reduction would have a more equitable impact on 
all facilities. Another commenter believed an equal approach would be 
the least disruptive policy implementation, rather than set a precedent 
for potential future changes to the individual CMI components. The 
commenter also added that regardless of which CMIs are reduced, 
facilities are still receiving a single per-diem payment. A third 
commenter agreed that, in the absence of re-designing the PDPM payment 
model from the ground-up based on observed PDPM CMIs, the adoption of 
an even distribution for the parity adjustment would best maintain the 
stability of the PDPM payment model. A fourth commenter strongly 
opposed a targeted approach to all categories, believing that SLP 
services were undervalued in the RUG-IV system and utilization of SLP 
services appropriately meets beneficiary needs under PDPM, but were not 
previously reported since there were no financial incentives for SNFs 
to report SLP services under RUG-IV.
    Two commenters supported a targeted approach and expressed concern 
about a reduction in payment for the PT and OT components, given that 
the majority of increased spending is not attributed to these 
components, leading to a reduction in PT and OT services. The 
commenters urged CMS to use the data to adjust PDPM in an accurate and 
precise manner, rather than simply reducing every CMI.
    Response: We agree that applying the parity adjustment equally 
across all PDPM CMIs would be the most equitable and least disruptive 
policy implementation, rather than set a precedent for potential future 
changes to the individual CMI components. We also agree that regardless 
of which CMIs are reduced, facilities are still receiving a single per-
diem payment and a reduction in the PT and OT CMIs should not impact 
the provision of these services, as the main driver for determining the 
appropriate provision of these services should the unique 
characteristics, goals, or needs, of each SNF patient. As we stated in 
the FY 2020 SNF PPS final rule (84 FR 38748), financial motives should 
not override the clinical judgment of a therapist or therapy assistant 
or pressure a therapist or therapy assistant to provide less than 
appropriate therapy.
    After consideration of public comments, we are finalizing the 
application of the parity adjustment equally across all components, as 
proposed.

[[Page 47533]]

4. Delayed and Phased Implementation
    As we noted in the FY 2012 SNF PPS final rule (76 FR 48493), we 
believe it is imperative that we act in a well-considered but expedient 
manner once excess payments are identified, as we did in FY 2012. 
However, we acknowledged that applying a reduction in payments without 
time to prepare could create a financial burden for providers, 
particularly considering the ongoing COVID-19 PHE. Therefore, in the FY 
2022 SNF PPS proposed rule (86 FR 19988 through 19990), we solicited 
comments on two potential mitigation strategies to ease the transition 
to prospective budget neutrality: delayed implementation and phased 
implementation. We noted that for either of these options, the 
adjustment would be applied prospectively, and the CMIs would not be 
adjusted to account for deviations from budget neutrality in years 
before the payment adjustments are implemented.
    A delayed implementation strategy would mean that we would 
implement the reduction in payment in a later year than the year the 
reduction is finalized. For example, considering the 4.6 percent 
reduction discussed previously in this preamble, if this reduction is 
finalized in FY 2023 with a 1-year delayed implementation, this would 
mean that the full 4.6 percent reduction will be applied prospectively 
to the PDPM CMIs in FY 2024. By comparison, a phased implementation 
strategy would mean that the amount of the reduction would be spread 
out over some number of years. For example, if we were to implement a 
2-year phase-in period to the 4.6 percent reduction discussed 
previously in the proposed rule with no delayed implementation, this 
would mean that the PDPM CMIs would be reduced by 2.3 percent in the 
first year of implementation in FY 2023 and then reduced by the 
remaining 2.3 percent in the second and final year of implementation in 
FY 2024. We could also use a combination of both mitigation strategies, 
such as a 1-year delayed implementation with a 2-year phase-in period, 
would mean that the PDPM CMIs would be reduced by 2.3 percent in the 
first year of implementation in FY 2024 and then reduced by the 
remaining 2.3 percent in the second and final year of implementation in 
FY 2025.
    In the FY 2022 SNF PPS proposed rule (86 FR 19988 through 19990), 
we solicited comments on the possibility of combining the delayed and 
phased implementation approaches and what interested parties believed 
would be appropriate to appropriately mitigate the impact of the 
reduction in SNF PPS payments. As described in the FY 2022 SNF PPS 
final rule (86 FR 42470 through 42471), most commenters supported 
combining both mitigation strategies of delayed implementation of 2 
years and a gradual phase-in of no more than 1 percent per year. MedPAC 
supported delayed implementation, but did not believe a phased-in 
approach was warranted given the high level of aggregate payment to 
SNFs. Further, MedPAC's March 2022 Report to Congress (available at 
<a href="https://www.medpac.gov/wp-content/uploads/2022/03/Mar22_MedPAC_ReportToCongress_Ch7_SEC.pdf">https://www.medpac.gov/wp-content/uploads/2022/03/Mar22_MedPAC_ReportToCongress_Ch7_SEC.pdf</a>) has found that since 2000, 
the aggregate Medicare margin for freestanding SNFs has consistently 
been above 10 percent each year. In 2020, the aggregate Medicare margin 
was 16.5 percent, a sizable increase from 11.9 percent in 2019. 
Additionally, the aggregate Medicare margin in 2020 increased to an 
estimated 19.2 percent when including Federal relief funds for the 
COVID-19 PHE (March 2022 MedPAC Report to Congress, 251-252). Given 
these high Medicare margins, we did not believe that a delayed 
implementation or a phase-in approach was needed. Rather, these 
mitigation strategies would continue to pay 

[…truncated; see source link]
Indexed from Federal Register on August 3, 2022.

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