Proposed Rule2022-13449

Medicare Program; End-Stage Renal Disease Prospective Payment System, Payment for Renal Dialysis Services Furnished to Individuals With Acute Kidney Injury, End-Stage Renal Disease Quality Incentive Program, and End-Stage Renal Disease Treatment Choices Model

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Published
June 28, 2022

Issuing agencies

Health and Human Services DepartmentCenters for Medicare & Medicaid Services

Abstract

This proposed rule would update and revise the End-Stage Renal Disease (ESRD) Prospective Payment System for calendar year 2023. This proposed rule also proposes to update the payment rate for renal dialysis services furnished by an ESRD facility to individuals with acute kidney injury. This rule also includes requests for information regarding potential payment adjustments for certain new renal dialysis drugs and biological products as well as health equity issues under the ESRD PPS with a focus on pediatric dialysis payment. In addition, this proposed rule proposes to update requirements for the ESRD Quality Incentive Program. Finally, this proposed rule would make updates to the ESRD Treatment Choices Model.

Full Text

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<title>Federal Register, Volume 87 Issue 123 (Tuesday, June 28, 2022)</title>
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[Federal Register Volume 87, Number 123 (Tuesday, June 28, 2022)]
[Proposed Rules]
[Pages 38464-38586]
From the Federal Register Online via the Government Publishing Office [<a href="http://www.gpo.gov">www.gpo.gov</a>]
[FR Doc No: 2022-13449]



[[Page 38463]]

Vol. 87

Tuesday,

No. 123

June 28, 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 512





Medicare Program; End-Stage Renal Disease Prospective Payment System, 
Payment for Renal Dialysis Services Furnished to Individuals With Acute 
Kidney Injury, End-Stage Renal Disease Quality Incentive Program, and 
End-Stage Renal Disease Treatment Choices Model; Proposed Rule

Federal Register / Vol. 87 , No. 123 / Tuesday, June 28, 2022 / 
Proposed Rules

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DEPARTMENT OF HEALTH AND HUMAN SERVICES

Centers for Medicare & Medicaid Services

42 CFR Parts 413 and 512

[CMS-1768-P]
RIN 0938-AU79


Medicare Program; End-Stage Renal Disease Prospective Payment 
System, Payment for Renal Dialysis Services Furnished to Individuals 
With Acute Kidney Injury, End-Stage Renal Disease Quality Incentive 
Program, and End-Stage Renal Disease Treatment Choices Model

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

ACTION: Proposed rule.

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SUMMARY: This proposed rule would update and revise the End-Stage Renal 
Disease (ESRD) Prospective Payment System for calendar year 2023. This 
proposed rule also proposes to update the payment rate for renal 
dialysis services furnished by an ESRD facility to individuals with 
acute kidney injury. This rule also includes requests for information 
regarding potential payment adjustments for certain new renal dialysis 
drugs and biological products as well as health equity issues under the 
ESRD PPS with a focus on pediatric dialysis payment. In addition, this 
proposed rule proposes to update requirements for the ESRD Quality 
Incentive Program. Finally, this proposed rule would make updates to 
the ESRD Treatment Choices Model.

DATES: To be assured consideration, comments must be received at one of 
the addresses provided below, by August 22, 2022.

ADDRESSES: In commenting, please refer to file code CMS-1768-P.
    Comments, including mass comment submissions, must be submitted in 
one of the following three ways (please choose only one of the ways 
listed):
    1. Electronically. You may submit electronic comments on this 
regulation to <a href="http://www.regulations.gov">http://www.regulations.gov</a>. Follow the ``Submit a 
comment'' instructions.
    2. By regular mail. You may mail written comments to the following 
address ONLY: Centers for Medicare & Medicaid Services, Department of 
Health and Human Services, Attention: CMS-1768-P, P.O. Box 8010, 
Baltimore, MD 21244-8010.
    Please allow sufficient time for mailed comments to be received 
before the close of the comment period.
    3. By express or overnight mail. You may send written comments to 
the following address ONLY: Centers for Medicare & Medicaid Services, 
Department of Health and Human Services, Attention: CMS-1768-P, Mail 
Stop C4-26-05, 7500 Security Boulevard, Baltimore, MD 21244-1850.
    For information on viewing public comments, see the beginning of 
the SUPPLEMENTARY INFORMATION section.

FOR FURTHER INFORMATION CONTACT: 
    <a href="/cdn-cgi/l/email-protection#e6a3b5b4a2b6879f8b838892a6858b95c88e8e95c8818990"><span class="__cf_email__" data-cfemail="2a6f79786e7a4b53474f445e6a49475904424259044d455c">[email&#160;protected]</span></a>, for issues related to the ESRD PPS and 
coverage and payment for renal dialysis services furnished to 
individuals with AKI.
    <a href="/cdn-cgi/l/email-protection#46031514020736362a2f2527322f29283506252b35682e2e3568212930"><span class="__cf_email__" data-cfemail="5510060711142525393c3634213c3a3b26153638267b3d3d267b323a23">[email&#160;protected]</span></a>, for issues related to applications 
for the Transitional Add-On Payment Adjustment for New and Innovative 
Equipment and Supplies (TPNIES) or the Transitional Drug Add-on Payment 
Adjustment (TDAPA).
    Delia Houseal, (410) 786-2724, for issues related to the ESRD QIP.
    <a href="/cdn-cgi/l/email-protection#d1948592fc929c9c9891b2bca2ffb9b9a2ffb6bea7"><span class="__cf_email__" data-cfemail="1c59485f315f5151555c7f716f3274746f327b736a">[email&#160;protected]</span></a>, for issues related to the ESRD Treatment 
Choices (ETC) Model.

SUPPLEMENTARY INFORMATION: 
    Inspection of Public Comments: All comments received before the 
close of the comment period are available for viewing by the public, 
including any personally identifiable or confidential business 
information that is included in a comment. We post all comments 
received before the close of the comment period on the following 
website as soon as possible after they have been received: <a href="http://www.regulations.gov">http://www.regulations.gov</a>. Follow the search instructions on that website to 
view public comments. CMS will not post on <a href="http://Regulations.gov">Regulations.gov</a> public 
comments that make threats to individuals or institutions or suggest 
that the individual will take actions to harm the individual. CMS 
continues to encourage individuals not to submit duplicative comments. 
We will post acceptable comments from multiple unique commenters even 
if the content is identical or nearly identical to other comments.
    Current Procedural Terminology (CPT) Copyright Notice: Throughout 
this proposed rule, we use CPT[supreg] codes and descriptions to refer 
to a variety of services. We note that CPT[supreg] codes and 
descriptions are copyright 2020 American Medical Association (AMA). All 
Rights Reserved. CPT[supreg] is a registered trademark of the AMA. 
Applicable Federal Acquisition Regulations (FAR) and Defense Federal 
Acquisition Regulations (DFAR) apply.

Table of Contents

    To assist readers in referencing sections contained in this 
preamble, we are providing a Table of Contents.

I. Executive Summary
    A. Purpose
    B. Summary of the Major Provisions
    C. Summary of Cost and Benefits
II. Calendar Year (CY) 2023 End-Stage Renal Disease (ESRD) 
Prospective Payment System (PPS)
    A. Background
    B. Provisions for the CY 2023 ESRD PPS Update
    C. Proposed Transitional Add-On Payment Adjustment for New and 
Innovative Equipment and Supplies (TPNIES) for CY 2023 Payment
    D. Request for Information About Addressing Issues of Payment 
for New Drugs After Transitional Drug Add-On Payment Adjustment 
(TDAPA) Period Ends
    E. Requests for Information on Health Equity Issues Within ESRD 
PPS With a Focus on the Pediatric Payment
III. Calendar Year (CY) 2023 Payment for Renal Dialysis Services 
Furnished to Individuals With Acute Kidney Injury (AKI)
    A. Background
    B. Proposed Annual Payment Rate Update for CY 2023
IV. End-Stage Renal Disease Quality Incentive Program (ESRD QIP)
    A. Background
    B. Extraordinary Circumstances Exception (ECE) Previously 
Granted for the ESRD QIP Including Notification of ECE Due to ESRD 
Quality Reporting System Issues
    C. Updates for the PY 2025 ESRD QIP
V. End-Stage Renal Disease Treatment Choices (ETC) Model
    A. Background
    B. Proposed Updates to the ETC Model
VI. Collection of Information Requirements
    A. Legislative Requirement for Solicitation of Comments
    B. Requirements in Regulation Text
    C. Additional Information Collection Requirements
VII. Regulatory Impact Analysis
    A. Statement of Need
    B. Overall Impact
    C. Impact Analysis
    D. Detailed Economic Analysis
    E. Accounting Statement
    F. Regulatory Flexibility Act Analysis (RFA)
    G. Unfunded Mandates Reform Act Analysis (UMRA)
    H. Federalism
VIII. Response to Comments
IX. Files Available to the Public via the Internet
Regulations Text

I. Executive Summary

A. Purpose

    This rule proposes changes related to the End-Stage Renal Disease 
(ESRD) Prospective Payment System (PPS), payment for renal dialysis 
services furnished to individuals with acute

[[Page 38465]]

kidney injury (AKI), the ESRD Quality Incentive Program (QIP), and the 
ESRD Treatment Choices (ETC) Model.
1. End-Stage Renal Disease (ESRD) Prospective Payment System (PPS)
    On January 1, 2011, we implemented the ESRD PPS, a case-mix 
adjusted, bundled PPS for renal dialysis services furnished by ESRD 
facilities as required by section 1881(b)(14) of the Social Security 
Act (the Act), as added by section 153(b) of the Medicare Improvements 
for Patients and Providers Act of 2008 (MIPPA) (Pub. L. 110-275). 
Section 1881(b)(14)(F) of the Act, as added by section 153(b) of MIPPA, 
and amended by section 3401(h) of the Patient Protection and Affordable 
Care Act (the Affordable Care Act) (Pub. L. 111-148), established that 
beginning calendar year (CY) 2012, and each subsequent year, the 
Secretary of the Department of Health and Human Services (the 
Secretary) shall annually increase payment amounts by an ESRD market 
basket increase factor, reduced by the productivity adjustment 
described in section 1886(b)(3)(B)(xi)(II) of the Act. This proposed 
rule would update the ESRD PPS for CY 2023.
2. Coverage and Payment for Renal Dialysis Services Furnished to 
Individuals With Acute Kidney Injury (AKI)
    On June 29, 2015, the President signed the Trade Preferences 
Extension Act of 2015 (TPEA) (Pub. L. 114-27). Section 808(a) of the 
TPEA amended section 1861(s)(2)(F) of the Act to provide coverage for 
renal dialysis services furnished on or after January 1, 2017, by a 
renal dialysis facility or a provider of services paid under section 
1881(b)(14) of the Act to an individual with AKI. Section 808(b) of the 
TPEA amended section 1834 of the Act by adding a new subsection (r) 
that provides for payment for renal dialysis services furnished by 
renal dialysis facilities or providers of services paid under section 
1881(b)(14) of the Act to individuals with AKI at the ESRD PPS base 
rate beginning January 1, 2017. This proposed rule would update the AKI 
payment rate for CY 2023.
3. End-Stage Renal Disease Quality Incentive Program (ESRD QIP)
    The End-Stage Renal Disease Quality Incentive Program (ESRD QIP) is 
authorized by section 1881(h) of the Act. The Program fosters improved 
patient outcomes by establishing incentives for facilities to meet or 
exceed performance standards established by the Centers for Medicare & 
Medicaid Services (CMS). This proposed rule proposes several updates 
for Payment Year (PY) 2023, including the suppression of individual 
ESRD QIP measures for PY 2023 under the measure suppression policy 
previously finalized for the duration of the COVID-19 public health 
emergency (PHE), as well as updates for PY 2024 and PY 2025. At this 
time, no new requirements are being proposed beginning with the PY 2026 
ESRD QIP.
4. End-Stage Renal Disease Treatment Choices (ETC) Model
    The ETC Model is a mandatory Medicare payment model tested under 
section 1115A of the Act. The ETC Model is operated by the Center for 
Medicare and Medicaid Innovation (Innovation Center), and tests the use 
of payment adjustments to encourage greater utilization of home 
dialysis and kidney transplants, to preserve or enhance the quality of 
care furnished to Medicare beneficiaries while reducing Medicare 
expenditures. The ETC Model was finalized as part of a final rule 
published in the Federal Register on September 29, 2020, titled, 
``Medicare Program: Specialty Care Models to Improve Quality of Care 
and Reduce Expenditures'' (85 FR 61114), referred to herein as the 
``Specialty Care Models final rule.'' This proposed rule would make 
certain changes to the ETC Model, including adding a parameter to the 
Performance Payment Adjustment (PPA) achievement scoring methodology 
and adding an additional protection related to flexibilities for 
furnishing and billing kidney disease patient education services by ETC 
Participants. This proposed rule also discusses our intent to 
disseminate participant-level model performance information to the 
public.

B. Summary of the Major Provisions

1. ESRD PPS
    <bullet> Rebasing and revision of the End-Stage Renal Disease 
Bundled (ESRDB) market basket for CY 2023: We are proposing to rebase 
and revise the ESRDB market basket to a 2020 base year, reflecting the 
most recent and complete set of Medicare Cost Report data as well as 
other publicly available data. In addition, we are proposing to update 
the labor-related share of the ESRD PPS base rate to reflect the 
proposed 2020 labor-related cost share weights designated in the ESRDB 
market basket.
    <bullet> Update to the ESRD PPS base rate for CY 2023: The proposed 
CY 2023 ESRD PPS base rate is $264.09. This proposed amount reflects 
the application of the wage index budget-neutrality adjustment factor 
(0.999997) and a proposed productivity-adjusted market basket increase 
of 2.4 percent as required by section 1881(b)(14)(F)(i)(I) of the Act, 
equaling $264.09 (($257.90 x 0.999997) x 1.024 = $264.09).
    <bullet> Annual update to the wage index: We adjust wage indices on 
an annual basis using the most current hospital wage data and the 
latest core-based statistical area (CBSA) delineations to account for 
differing wage levels in areas in which ESRD facilities are located. 
For CY 2023, we are proposing to update the wage index values based on 
the latest available data.
    <bullet> Permanent cap on wage index decreases: For CY 2023 and 
subsequent years, we are proposing to apply a permanent 5-percent cap 
on any ESRD facility's wage index decrease from its wage index in the 
prior year, regardless of the circumstances causing the decline.
    <bullet> Wage index floor: We are proposing to raise the wage index 
floor, for areas with wage index values below the floor, from 0.5000 to 
0.6000.
    <bullet> Outlier policy refinement: The ESRD PPS has an outlier 
policy that targets 1.0 percent of total Medicare ESRD PPS expenditures 
in outlier payments for ESRD beneficiaries who require a high level of 
renal dialysis services. We are proposing to modify the methodology for 
calculating the fixed-dollar loss (FDL) amounts for adult patients.
    <bullet> Annual update to the outlier policy: We are proposing to 
update the outlier policy based on the most current data and our 
proposed refinement to the outlier policy. Accordingly, we propose to 
update the Medicare allowable payment (MAP) amounts for adult and 
pediatric patients for CY 2023 using the latest available CY 2021 
claims data. We propose to update the ESRD outlier services FDL amount 
for pediatric patients using the latest available CY 2021 claims data, 
and we propose to use the latest available claims data from CY 2019, CY 
2020, and CY 2021 to calculate the FDL amount for adults, in accordance 
with the proposed methodology discussed in section II.B.1.c.(4) of this 
proposed rule. For pediatric beneficiaries, the proposed FDL amount 
would decrease from $26.02 to $21.51, and the proposed MAP amount would 
decrease from $27.15 to $25.62, as compared to CY 2022 values. For 
adult beneficiaries, the proposed FDL amount would decrease from $75.39 
to $40.75, and the proposed MAP amount would decrease from $42.75 to 
$36.85. The 1.0 percent target for outlier payments was not achieved in 
CY 2021. Outlier payments represented approximately 0.4 percent

[[Page 38466]]

of total payments rather than 1.0 percent.
    <bullet> Definition of oral-only drugs: We are proposing that, 
beginning January 1, 2025, we would include the word functional in the 
definition of oral-only drug at Sec.  413.234(a). Specifically, under 
the proposed definition, an oral-only drug would be a drug or 
biological product with no injectable functional equivalent or other 
form of administration other than an oral form.
    <bullet> Update to the offset amount for the transitional add-on 
payment adjustment for new and innovative equipment and supplies 
(TPNIES) for CY 2023: The proposed CY 2023 average per treatment offset 
amount for the TPNIES for capital-related assets that are home dialysis 
machines is $9.73. This proposed offset amount reflects the application 
of the productivity-adjusted market basket increase of 2.4 percent 
($9.50 x 1.024 = $9.73).
    <bullet> TPNIES applications received for CY 2023: This proposed 
rule presents a summary of the three CY 2023 TPNIES applications that 
we received by the February 1, 2022 deadline and our preliminary 
analysis of the applicants' claims related to substantial clinical 
improvement and other eligibility criteria for the TPNIES.
2. Payment for Renal Dialysis Services Furnished to Individuals With 
AKI
    We are proposing to update the AKI payment rate for CY 2023. The 
proposed CY 2023 payment rate is $264.09, which is the same as the base 
rate proposed under the ESRD PPS for CY 2023.
3. ESRD QIP
    We are proposing to suppress the Standardized Hospitalization Ratio 
(SHR) clinical measure, the Standardized Readmission Ratio (SRR) 
clinical measure, the In-Center Hemodialysis Consumer Assessment of 
Healthcare Providers and Systems (ICH CAHPS) clinical measure, the 
Long-Term Catheter Rate clinical measure, the Percentage of Prevalent 
Patients Waitlisted (PPPW) clinical measure, and the Kt/V Dialysis 
Adequacy Comprehensive clinical measure for PY 2023 under our 
previously finalized measure suppression policy because we have 
determined that circumstances caused by the public health emergency 
(PHE) due to COVID-19 have significantly affected the measures and 
resulting performance scores. We are also proposing to use CY 2019 data 
to calculate performance standards for the PY 2023 ESRD QIP. We are 
also updating the technical specifications of the SHR clinical measure 
and SRR clinical measure so that the measure results are expressed as 
rates instead of ratios beginning with the PY 2024 ESRD QIP. Beginning 
with the PY 2025 ESRD QIP, we are proposing to add the COVID-19 
Vaccination Coverage among Healthcare Personnel (HCP) measure to the 
ESRD QIP measure set. We are also proposing to convert the Standardized 
Transfusion Ratio (STrR) reporting measure to a clinical measure 
beginning with PY 2025, and are further proposing to express the 
measure as a rate to align with the technical updates to express the 
SHR and SRR clinical measure results as rates. In addition, we are 
proposing to convert the Hypercalcemia clinical measure to a reporting 
measure, beginning with PY 2025. Furthermore, we are proposing to 
create a new Reporting Measure domain and to re-weight current measure 
domains beginning with PY 2025.
    This proposed rule also includes requests for information on 
several important topics, including potential quality measures for home 
dialysis, the expansion of our quality reporting programs to allow us 
to provide more actionable and comprehensive information on health care 
disparities across multiple variables and new care settings, and on the 
possible future inclusion of two potential social drivers of health 
screening measures.
4. ETC Model
    We are proposing to update the PPA achievement scoring methodology 
beginning in the fifth Measurement Year (MY5) of the ETC Model, which 
begins January 1, 2023. We are also proposing to clarify the 
requirements for qualified staff to furnish and bill kidney disease 
patient education services under the ETC Model's Medicare program 
waivers. In addition, we discuss our intent to disseminate participant-
level model performance information to the public.

C. Summary of Costs and Benefits

    In section VII.D.5 of this proposed rule, we set forth a detailed 
analysis of the impacts that the proposed changes would have on 
affected entities and beneficiaries. The impacts include the following:
1. Impacts of the Proposed ESRD PPS
    The impact table in section VII.D.5.a of this proposed rule 
displays the estimated change in payments to ESRD facilities in CY 2023 
compared to estimated payments in CY 2022. The overall impact of the CY 
2023 changes is projected to be a 3.1 percent increase in payments. 
Hospital-based ESRD facilities have an estimated 3.7 percent increase 
in payments compared with freestanding facilities with an estimated 3.1 
percent increase. We estimate that the aggregate ESRD PPS expenditures 
would increase by approximately $320 million in CY 2023 compared to CY 
2022. This reflects a $250 million increase from the proposed payment 
rate update, a $70 million increase due to the proposed updates to the 
outlier threshold amounts, and approximately $2.5 million in estimated 
TPNIES amounts. Because of the projected 3.1 percent overall payment 
increase, we estimate there would be an increase in beneficiary 
coinsurance payments of 3.1 percent in CY 2023, which translates to 
approximately $60 million.
2. Impacts of the Proposed Payment for Renal Dialysis Services 
Furnished to Individuals With AKI
    The impact table in section VII.D.5.b of this proposed rule 
displays the estimated change in payments to ESRD facilities in CY 2023 
compared to estimated payments in CY 2022. The overall impact of the CY 
2023 changes is projected to be a 2.4 percent increase in payments for 
individuals with AKI. Hospital-based ESRD facilities have an estimated 
2.1 percent increase in payments compared with freestanding ESRD 
facilities with an estimated 2.4 percent increase. The overall impact 
reflects the effects of the proposed update to the labor-related share, 
proposed CY 2023 wage index, proposed permanent cap on wage index 
decreases, and the proposed payment rate update. We estimate that the 
aggregate payments made to ESRD facilities for renal dialysis services 
furnished to patients with AKI, at the proposed CY 2023 ESRD PPS base 
rate, would increase by $2 million in CY 2023 compared to CY 2022.
3. Impacts of the Proposed ESRD QIP
    Our proposals to suppress measures for the PY 2023 ESRD QIP 
necessitate a modification to our previously estimated overall economic 
impact of the PY 2023 ESRD QIP (85 FR 71400). In the CY 2021 ESRD PPS 
final rule, we estimated that the overall economic impact of the PY 
2023 ESRD QIP would be approximately $224 million as a result of the 
policies we had finalized at that time. The $224 million figure for PY 
2023 included costs associated with the collection of information 
requirements, which we estimated would be approximately $208 million, 
and $16 million in estimated payment reductions across all facilities. 
However, as a result of the proposals impacting the PY 2023 ESRD QIP 
that we are making in this proposed rule, we are modifying our previous 
estimate. We now estimate that the overall economic

[[Page 38467]]

impact of the PY 2023 ESRD QIP would be approximately $218 million. The 
$218 million figure for PY 2023 includes costs associated with the 
collection of information requirements and recalculated estimated 
payment reductions based on the six measures we are proposing to 
suppress for PY 2023. Although we are updating the way we express the 
SHR clinical measure and the SRR clinical measure results beginning 
with PY 2024, these technical updates would not impact our previously 
estimated economic impact for the PY 2024 ESRD QIP. We estimate that 
the overall economic impact of the PY 2025 ESRD QIP would be 
approximately $252 million as a result of the policies we have 
previously finalized and the proposals in this proposed rule. The $252 
million figure for PY 2025 includes costs associated with the 
collection of information requirements, which we estimate would be 
approximately $215 million, and $37 million in estimated payment 
reductions across all facilities. We also estimate that the overall 
economic impact of the PY 2026 ESRD QIP would be approximately $252 
million as a result of the policies we have previously finalized. The 
$252 million figure for PY 2026 includes costs associated with the 
collection of information requirements, which we estimate would be 
approximately $215 million, and $37 million in estimated payment 
reductions across all facilities.
4. Impacts of the Proposed Changes to the ETC Model
    The impact estimate in section VII.D.5.d of this proposed rule 
describes the estimated change in anticipated Medicare program savings 
arising from the ETC Model over the duration of the ETC Model as a 
result of the proposed changes. We estimate that the ETC Model would 
result in $28 million in net savings over the 6.5 year duration of the 
ETC Model. We also estimate that the changes proposed in this proposed 
rule would produce no change in net savings for the ETC Model.

II. CY 2023 ESRD PPS

A. Background

1. Statutory Background
    On January 1, 2011, CMS implemented the ESRD PPS, a case-mix 
adjusted bundled PPS for renal dialysis services furnished by ESRD 
facilities, as required by section 1881(b)(14) of the Act, as added by 
section 153(b) of the Medicare Improvements for Patients and Providers 
Act of 2008 (MIPPA). Section 1881(b)(14)(F) of the Act, as added by 
section 153(b) of MIPPA and amended by section 3401(h) of the Patient 
Protection and Affordable Care Act (the Affordable Care Act), 
established that beginning with CY 2012, and each subsequent year, the 
Secretary shall annually increase payment amounts by an ESRD market 
basket increase factor reduced by the productivity adjustment described 
in section 1886(b)(3)(B)(xi)(II) of the Act.
    Section 632 of the American Taxpayer Relief Act of 2012 (ATRA) 
(Pub. L. 112-240) included several provisions that apply to the ESRD 
PPS. Section 632(a) of ATRA added section 1881(b)(14)(I) to the Act, 
which required the Secretary, by comparing per patient utilization data 
from 2007 with such data from 2012, to reduce the single payment for 
renal dialysis services furnished on or after January 1, 2014, to 
reflect the Secretary's estimate of the change in the utilization of 
ESRD-related drugs and biologicals (excluding oral-only ESRD-related 
drugs). Consistent with this requirement, in the CY 2014 ESRD PPS final 
rule, we finalized $29.93 as the total drug utilization reduction and 
finalized a policy to implement the amount over a 3- to 4-year 
transition period (78 FR 72161 through 72170).
    Section 632(b) of ATRA prohibited the Secretary from paying for 
oral-only ESRD-related drugs and biologicals under the ESRD PPS prior 
to January 1, 2016. Section 632(c) of ATRA required the Secretary, by 
no later than January 1, 2016, to analyze the case-mix payment 
adjustments under section 1881(b)(14)(D)(i) of the Act and make 
appropriate revisions to those adjustments.
    On April 1, 2014, the Protecting Access to Medicare Act of 2014 
(PAMA) (Pub. L. 113-93) was enacted. Section 217 of PAMA included 
several provisions that apply to the ESRD PPS. Specifically, sections 
217(b)(1) and (2) of PAMA amended sections 1881(b)(14)(F) and (I) of 
the Act and replaced the drug utilization adjustment that was finalized 
in the CY 2014 ESRD PPS final rule (78 FR 72161 through 72170) with 
specific provisions that dictated the market basket update for CY 2015 
(0.0 percent) and how the market basket should be reduced in CY 2016 
through CY 2018.
    Section 217(a)(1) of PAMA amended section 632(b)(1) of ATRA to 
provide that the Secretary may not pay for oral-only ESRD-related drugs 
under the ESRD PPS prior to January 1, 2024. Section 217(a)(2) of PAMA 
further amended section 632(b)(1) of ATRA by requiring that in 
establishing payment for oral-only drugs under the ESRD PPS, the 
Secretary must use data from the most recent year available. Section 
217(c) of PAMA provided that as part of the CY 2016 ESRD PPS 
rulemaking, the Secretary shall establish a process for-- (1) 
determining when a product is no longer an oral-only drug; and (2) 
including new injectable and intravenous products into the ESRD PPS 
bundled payment.
    Finally, on December 19, 2014, the President signed the Stephen 
Beck, Jr., Achieving a Better Life Experience Act of 2014 (ABLE) (Pub. 
L. 113-295). Section 204 of ABLE amended section 632(b)(1) of ATRA, as 
amended by section 217(a)(1) of PAMA, to provide that payment for oral-
only renal dialysis services cannot be made under the ESRD PPS bundled 
payment prior to January 1, 2025.
2. System for Payment of Renal Dialysis Services
    Under the ESRD PPS, a single per-treatment payment is made to an 
ESRD facility for all the renal dialysis services defined in section 
1881(b)(14)(B) of the Act and furnished to individuals for the 
treatment of ESRD in the ESRD facility or in a patient's home. We have 
codified our definition of renal dialysis services at Sec.  413.171, 
which is in 42 CFR part 413, subpart H, along with other ESRD PPS 
payment policies. The ESRD PPS base rate is adjusted for 
characteristics of both adult and pediatric patients and accounts for 
patient case-mix variability. The adult case-mix adjusters include five 
categories of age, body surface area, low body mass index, onset of 
dialysis, and four comorbidity categories (that is, pericarditis, 
gastrointestinal tract bleeding, hereditary hemolytic or sickle cell 
anemia, myelodysplastic syndrome). A different set of case-mix 
adjusters are applied for the pediatric population. Pediatric patient-
level adjusters include two age categories (under age 22, or age 22 to 
26) and two dialysis modalities (that is, peritoneal or hemodialysis) 
(Sec.  413.235(a) and (b)).
    The ESRD PPS provides for three facility-level adjustments. The 
first payment adjustment accounts for ESRD facilities furnishing a low 
volume of dialysis treatments (Sec.  413.232). The second payment 
adjustment reflects differences in area wage levels developed from 
core-based statistical areas (CBSAs) (Sec.  413.231). The third payment 
adjustment accounts for ESRD facilities furnishing renal dialysis 
services in a rural area (Sec.  413.233).
    There are four additional payment adjustments under the ESRD PPS. 
The ESRD PPS provides adjustments, when applicable, for: (1) a training 
add-on for home and self-dialysis modalities (Sec.  413.235(c)); (2) an 
additional payment

[[Page 38468]]

for high cost outliers due to unusual variations in the type or amount 
of medically necessary care (Sec.  413.237); (3) a TDAPA for certain 
new renal dialysis drugs and biological products (Sec.  413.234(c)); 
and (4) a TPNIES for certain qualifying, new and innovative renal 
dialysis equipment and supplies (Sec.  413.236(d)).
3. Updates to the ESRD PPS
    Policy changes to the ESRD PPS are proposed and finalized annually 
in the Federal Register. The CY 2011 ESRD PPS final rule was published 
on August 12, 2010 in the Federal Register (75 FR 49030 through 49214). 
That rule implemented the ESRD PPS beginning on January 1, 2011 in 
accordance with section 1881(b)(14) of the Act, as added by section 
153(b) of MIPPA, over a 4-year transition period. Since the 
implementation of the ESRD PPS, we have published annual rules to make 
routine updates, policy changes, and clarifications.
    We published a final rule, which appeared in the November 8, 2021 
issue of the Federal Register, titled ``Medicare Program; End-Stage 
Renal Disease Prospective Payment System, Payment for Renal Dialysis 
Services Furnished to Individuals With Acute Kidney Injury, and End-
Stage Renal Disease Quality Incentive Program, and End-Stage Renal 
Disease Treatment Choices Model,'' referred to herein as the ``CY 2022 
ESRD PPS final rule.'' In that rule, we updated the ESRD PPS base rate, 
wage index, and outlier policy for CY 2022. We also updated the average 
per treatment offset amount for the TPNIES for CY 2022. In addition, we 
announced our approval of one application for the TPNIES for CY 2022 
payment. For further detailed information regarding these updates, see 
86 FR 61874.

B. Provisions of the Proposed Rule

1. Proposed CY 2023 ESRD PPS Update
a. Proposed CY 2023 ESRD Bundled (ESRDB) Market Basket Rebasing and 
Revision; Market Basket Increase Factor; Productivity Adjustment; and 
Labor-Related Share
(1) Proposed Rebasing and Revising of the ESRDB Market Basket
(a) Background
    In accordance with section 1881(b)(14)(F)(i) of the Act, as added 
by section 153(b) of MIPPA and amended by section 3401(h) of the 
Affordable Care Act, beginning in 2012, the ESRD PPS payment amounts 
are required to be annually increased by an ESRD market basket increase 
factor and reduced by the productivity adjustment described in section 
1886(b)(3)(B)(xi)(II) of the Act. The application of the productivity 
adjustment may result in the increase factor being less than 0.0 for a 
year and may result in payment rates for a year being less than the 
payment rates for the preceding year. Section 1881(b)(14)(F)(i) of the 
Act also provides that the market basket increase factor should reflect 
the changes over time in the prices of an appropriate mix of goods and 
services included in renal dialysis services.
    As required under section 1881(b)(14)(F)(i) of the Act, CMS 
developed an all-inclusive ESRD Bundled (ESRDB) input price index using 
CY 2008 as the base year (75 FR 49151 through 49162). We subsequently 
revised and rebased the ESRDB input price index to a base year of CY 
2012 in the CY 2015 ESRD PPS final rule (79 FR 66129 through 66136). In 
the CY 2019 ESRD PPS final rule (83 FR 56951 through 56964), we 
finalized a rebased ESRDB input price index to reflect a CY 2016 base 
year. Effective for CY 2023, we are proposing to rebase and revise the 
ESRDB market basket to a base year of CY 2020.
    Although ``market basket'' technically describes the mix of goods 
and services used for ESRD treatment, this term is also commonly used 
to denote the input price index (that is, cost categories, their 
respective weights, and price proxies combined) derived from a market 
basket. Accordingly, the term ``ESRDB market basket,'' as used in this 
document, refers to the ESRDB input price index.
    The ESRDB market basket is a fixed-weight, Laspeyres-type price 
index. A Laspeyres-type price index measures the change in price, over 
time, of the same mix of goods and services purchased in the base 
period. Any changes in the quantity or mix of goods and services (that 
is, intensity) purchased over time are not measured.
    The index is constructed in three steps. First, a base period is 
selected where total base period expenditures are estimated for a set 
of mutually exclusive and exhaustive spending categories, with the 
proportion of total costs that each category represents being 
calculated. These proportions are called ``cost weights'' or 
``expenditure weights.'' Second, each expenditure category is matched 
to an appropriate price or wage variable, referred to as a ``price 
proxy.'' In almost every instance, these price proxies are derived from 
publicly available statistical series that are published on a 
consistent schedule (preferably at least on a quarterly basis). 
Finally, the expenditure weight for each cost category is multiplied by 
the level of its respective price proxy. The sum of these products 
(that is, the expenditure weights multiplied by their price index 
levels) for all cost categories yields the composite index level of the 
market basket in a given period. Repeating this step for other periods 
produces a series of market basket levels over time. Dividing an index 
level for a given period by an index level for an earlier period 
produces a rate of growth in the input price index over that timeframe.
    As noted previously, the market basket is described as a fixed-
weight index because it represents the change in price over time of a 
constant mix (quantity and intensity) of goods and services purchased 
to provide renal dialysis services. The effects on total expenditures 
resulting from changes in the mix of goods and services purchased 
subsequent to the base period are not measured. For example, an ESRD 
facility hiring more nurses to accommodate the needs of patients would 
increase the volume of goods and services purchased by the ESRD 
facility, but would not be factored into the price change measured by a 
fixed-weight ESRD market basket. Only when the index is rebased would 
changes in the quantity and intensity be captured, with those changes 
being reflected in the cost weights. Therefore, we rebase the market 
basket periodically so that the cost weights reflect changes between 
base periods in the mix of goods and services that ESRD facilities 
purchase to furnish ESRD treatment.
    We last rebased the ESRDB market basket cost weights effective for 
CY 2019 (83 FR 56951 through 56964), with 2016 data used as the base 
period for the construction of the market basket cost weights. We are 
proposing to use 2020 as the base year for the proposed rebased ESRDB 
market basket cost weights. The cost weights for this proposed ESRDB 
market basket are based on the cost report data for independent ESRD 
facilities. We refer to the proposed market basket as a CY market 
basket because the base period for all price proxies and weights are 
set to CY 2020 (that is, the average index level for CY 2020 is equal 
to 100). The major source data for the proposed ESRDB market basket is 
the 2020 Medicare cost reports (MCRs) (Form CMS-265-11, OMB NO. 0938-
0236), supplemented with 2012 data from the United States (U.S.) Census 
Bureau's Services Annual Survey (SAS) inflated to 2020 levels. The 2012 
SAS data is the most recent year of detailed expense data published by 
the Census Bureau for North American International Classification 
System (NAICS) Code 621492: Kidney Dialysis Centers. We also are 
proposing to use May 2020

[[Page 38469]]

Occupational Employment Statistics data from the U.S. Department of 
Labor's Bureau of Labor Statistics (BLS) to estimate the weights for 
the Wages and Salaries and Employee Benefits occupational blends. We 
provide more detail on our proposed methodology in section 
II.B.1.a.(1)(b) of this proposed rule.
    The terms ``rebasing'' and ``revising,'' while often used 
interchangeably, actually denote different activities. The term 
``rebasing'' means moving the base year for the structure of costs of 
an input price index (that is, in this exercise, we are proposing to 
move the base year cost structure from 2016 to 2020) without making any 
other major changes to the methodology. The term ``revising'' means 
changing data sources, cost categories, and/or price proxies used in 
the input price index. For CY 2023, we are proposing to rebase the 
ESRDB market basket to reflect the 2020 cost structure of ESRD 
facilities and to revise the index, that is, make changes to cost 
categories or price proxies used in the index.
    We are proposing CY 2020 as the new base year because 2020 is the 
most recent year for which relatively complete MCR data are available. 
We analyzed the cost weights for the years 2017 through 2020 and found 
that the expenses reported in the ESRD facility MCRs for 2020 were 
consistent with those in the prior years. Additionally, given the 
nature of renal dialysis services, any impacts on utilization due to 
the COVID-19 PHE were minimal as dialysis is not an optional treatment 
and must continue even during the PHE. In developing the proposed 
market basket, we reviewed ESRD expenditure data from ESRD MCRs (CMS 
Form 265-11, OMB NO. 0938-0236) for 2020 for each freestanding ESRD 
facility that reported expenses and payments. The 2020 MCRs are for 
those ESRD facilities whose cost reporting period began on or after 
October 1, 2019, and before October 1, 2020. Of the 2020 MCRs, 
approximately 91 percent of freestanding ESRD facilities had a begin 
date on January 1, 2020, approximately 5 percent had a begin date prior 
to January 1, 2020, and approximately 4 percent had a begin date after 
January 1, 2020. Using this methodology allowed our sample to include 
ESRD facilities with varying cost report years including, but not 
limited to, the federal fiscal year (FY) or CY.
    We are proposing to maintain our policy of using data from 
freestanding ESRD facilities (which account for over 90 percent of 
total ESRD facilities in CY 2020) because freestanding ESRD facility 
data reflect the actual cost structure faced by the ESRD facility 
itself. In contrast, expense data for hospital-based ESRD facilities 
reflect the allocation of overhead from the entire institution.
    We developed cost category weights for the proposed 2020-based 
ESRDB market basket in two stages. First, we derived base year cost 
weights for ten major categories (Wages and Salaries, Employee 
Benefits, Pharmaceuticals, Supplies, Laboratory Services, Housekeeping, 
Operations & Maintenance, Administrative & General, Capital-Related 
Building and Fixtures, and Capital-Related Moveable Equipment) from the 
ESRD MCRs. Second, we are proposing to divide the Administrative & 
General cost category into further detail using 2012 SAS data for the 
industry Kidney Dialysis Centers NAICS 621492 inflated to 2020 levels. 
We apply the estimated 2020 distributions from the SAS data to the 2020 
Administrative & General cost weight to yield the more detailed 2020 
cost weights in the proposed market basket. This is the same 
methodology we used in the CY 2019 ESRD PPS rulemaking to break the 
Administrative & General costs into more detail for the 2016-based 
ESRDB market basket (83 FR 56951 through 56964).
    We are proposing to include a total of 21 detailed cost categories 
for the proposed 2020-based ESRDB market basket, whereas the 2016-based 
ESRDB market basket had 20 detailed cost categories. A detailed 
discussion of the proposals is provided in section II.B.1.a.(1)(b) of 
this proposed rule.
(b) Cost Category Weights
    Using Worksheets A and B from the 2020 MCRs, we first computed cost 
shares for ten major expenditure categories: Wages and Salaries, 
Employee Benefits, Pharmaceuticals, Supplies, Laboratory Services, 
Housekeeping, Operations & Maintenance, Administrative and General, 
Capital-Related Building and Fixtures, and Capital-Related Moveable 
Equipment. Edits were applied to include only cost reports that had 
total costs greater than zero. Total costs as reported on the MCR 
include those costs reimbursable under the ESRD PPS. For example, we 
excluded expenses related to vaccine costs from total expenditures 
since these are not paid for under the ESRD PPS.
    In order to reduce potential distortions from outliers in the 
calculation of the individual cost weights for the major expenditure 
categories for each cost category, values less than the 5th percentile 
or greater than the 95th percentile were excluded from the major cost 
weight computations. The proposed data set, after removing cost reports 
with total costs equal to or less than zero and excluding outliers, 
included information from approximately 6,625 independent ESRD 
facilities' cost reports from an available pool of 7,413 cost reports.
    Table 1 presents the proposed 2020-based ESRDB and 2016-based ESRDB 
market basket major cost weights as derived directly from the MCR data.

[[Page 38470]]

[GRAPHIC] [TIFF OMITTED] TP28JN22.002

    We are proposing to disaggregate the Administrative & General major 
cost category developed from the MCR into more detail to more 
accurately reflect ESRD facility costs. Those categories include: 
Benefits, Professional Fees, Telephone, Utilities, and All Other Goods 
and Services. We describe below how the initially computed categories 
and weights from the cost reports were modified to yield the proposed 
2020 ESRDB market basket expenditure categories and weights presented 
in this proposed rule.
Wages and Salaries
    The proposed Wages and Salaries cost weight is comprised of direct 
patient care wages and salaries and non-direct patient care wages and 
salaries. Direct patient care wages and salaries for 2020 was derived 
from Worksheet B, column 5, lines 8 through 17 of the MCR. Non-direct 
patient care wages and salaries includes all other wages and salaries 
costs for non-health workers and physicians, which we are proposing to 
derive using the following steps:
    Step 1: To capture the salary costs associated with non-direct 
patient care cost centers, we calculated salary percentages for non-
direct patient care from Worksheet A of the MCR. The estimated ratios 
were calculated as the ratio of salary costs (Worksheet A, columns 1 
and 2) to total costs (Worksheet A, column 4). The salary percentages 
were calculated for seven distinct cost centers: `Operations and 
Maintenance of Plant' combined with `Capital Related Costs-Renal 
Dialysis Equipment' (line 3 and 6), Housekeeping (line 4), Employee 
Health and Wellness (EH&W) Benefits for Direct Patient Care (line 8), 
Supplies (line 9), Laboratory (line 10), Administrative & General (line 
11), and Pharmaceuticals (line 12).
    Step 2: We then multiplied the salary percentages computed in step 
1 by the total costs for each corresponding reimbursable cost center 
totals as reported on Worksheet B. The Worksheet B totals were based on 
the sum of reimbursable costs reported on lines 8 through 17. For 
example, the salary percentage for Supplies (as measured by line 9 on 
Worksheet A) was applied to the total expenses for the Supplies cost 
center (the sum of costs reported on Worksheet B, column 7, lines 8 
through 17). This provided us with an estimate of Non-Direct Patient 
Care Wages and Salaries.
    Step 3: The estimated Wages and Salaries for each of the cost 
centers on Worksheet B derived in step 2 were subsequently summed and 
added to the direct patient care wages and salaries costs.
    Step 4: The estimated non-direct patient care wages and salaries 
(see step 2) were then subtracted from their respective cost categories 
to avoid double-counting their values in the total costs.
    Using this methodology, we derive a proposed Wages and Salaries 
cost weight of 34.5 percent, reflecting an estimated direct patient 
care wages and salaries cost weight of 25.7 percent and non-direct 
patient care wages and salaries cost weight of 8.9 percent, as seen in 
Table 2.
    The final adjustment made to this category is to include Contract 
Labor costs. These costs appear on the MCR; however, they are embedded 
in the Other Costs from the trial balance reported on Worksheet A, 
Column 3 and cannot be disentangled using the MCRs. To avoid double 
counting of these expenses we are proposing to move the estimated cost 
weight for the contract labor costs from the Administrative and General 
category (where we believe the majority of the contract labor costs 
would be reported) to the Wages and Salaries category. We are proposing 
to use data from the SAS (2012 data inflated to 2020), which reported 
2.4 percent of total expenses were spent on contract labor costs. We 
allocated 80 percent of that contract labor cost weight to the Wages 
and Salaries category. At the same time, we subtracted that same amount 
from the Administrative and General category, where the majority of 
contract labor expenses would likely be reported on the MCR. The 80 
percent figure that was used was determined by taking salaries as a 
percentage of total compensation (excluding contract labor) from the 
2020 MCR data. This is the same method that was used to allocate 
contract labor costs to the Wages and Salaries cost category

[[Page 38471]]

for the 2016-based ESRDB market basket.
    The resulting proposed cost weight for Wages and Salaries increases 
to 36.5 percent when contract labor wages are added. The calculation of 
the proposed Wages and Salaries cost weight for the 2020-based ESRDB 
market basket is shown in Table 2 along with the similar calculation 
for the 2016-based ESRDB market basket.
[GRAPHIC] [TIFF OMITTED] TP28JN22.003

Employee Benefits
    The proposed Employee Benefits cost weight was derived from the MCR 
data for direct patient care and supplemented with data from the SAS 
(2012 data inflated to 2020) to account for non-direct patient care 
Employee Benefits. The MCR data only reflects Employee Benefit costs 
associated with health and wellness; that is, it does not reflect 
retirement benefits.
    In order to reflect the benefits related to non-direct patient care 
for employee health and wellness, we estimated the impact on the 
benefit weight using SAS. Unlike the MCR, the SAS collects detailed 
expenses for employee benefits including expenses related to the 
retirement and pension benefits. Incorporating the SAS data produced an 
Employee Benefits (both direct patient care and non-direct patient 
care) weight that was 1.3 percentage points higher (9.0 vs. 7.7) than 
the Employee Benefits weight for direct patient care calculated 
directly from the MCR. To avoid double-counting and to ensure all of 
the market basket weights still totaled 100 percent, we removed this 
additional 1.3 percentage points for Non-Direct Patient Care Employee 
Benefits from the Administrative and General cost category.
    The final adjustment made to this category is to include contract 
labor benefit costs. Once again, these costs appear on the MCR; 
however, they are embedded in the Other Costs from the trial balance 
reported on Worksheet A, Column 3 and cannot be disentangled using the 
MCR data. Identical to our methodology previously for allocating 
Contract Labor Costs to Wages and Benefits, we applied 20 percent of 
total Contract Labor Costs, as estimated using the SAS, to the Benefits 
cost weight calculated from the cost reports. The 20 percent figure was 
determined by taking benefits as a percentage of total compensation 
(excluding contract labor) from the 2020 MCR data. The resulting cost 
weight for Employee Benefits increases to 9.5 percent when contract 
labor benefits are added. This is the same method that was used to 
allocate contract labor costs to the Benefits cost category for the 
2016-based ESRDB market basket.
    Table 3 compares the 2016-based Benefits cost share derivation as 
detailed in the CY 2019 ESRD PPS final rule (83 FR 56954) to the 
proposed 2020-based Benefits cost share derivation.
[GRAPHIC] [TIFF OMITTED] TP28JN22.004


[[Page 38472]]


Pharmaceuticals
    The proposed 2020-based ESRDB market basket includes expenditures 
for all drugs, including formerly separately billable drugs and all 
other ESRD-related drugs that were covered under Medicare Part D before 
the ESRD PPS was implemented. We calculated a Pharmaceuticals cost 
weight from the following cost centers on Worksheet B, the sum of lines 
8 through 17, for the following columns: column 11, ``Drugs Included in 
Composite Rate,'' column 12, ``Erythropoiesis stimulating agents 
(ESAs)''; and column 13, ``ESRD-Related and AKI -Related Drugs.'' We 
did not include the drug expenses for Non-ESRD Related Drugs, Supplies, 
and Labs as reported on line 5, column 10 or the AKI Non-Renal Related 
Drugs, Supplies, & Lab as reported on line 5.01 column 10 as these 
expenses are not included in the ESRD PPS bundled payment amount. 
Section 1842(o)(1)(A)(iv) of the Act requires that influenza, 
pneumococcal, COVID-19, and hepatitis B vaccines described in paragraph 
(A) or (B) of section 1861(s)(10) of the Act be paid based on 95 
percent of average wholesale price (AWP) of the drug. Since these 
vaccines are not paid for under the ESRD PPS, we did not include 
expenses reported on worksheet B, column 9 line 7 in the proposed 2020-
based ESRDB market basket.
    Finally, to avoid double-counting, the weight for the 
Pharmaceuticals category was reduced to exclude the estimated share of 
Non-Direct Patient Care Wages and Salaries associated with the 
applicable pharmaceutical cost centers referenced previously. This 
resulted in a proposed ESRDB market basket weight for Pharmaceuticals 
of 10.1 percent. ESA expenditures accounted for 6.0 percentage points 
of the proposed Pharmaceuticals cost weight, and All Other Drugs 
accounted for the remaining 4.1 percentage points.
    The Pharmaceuticals cost weight decreased 2.3 percentage points 
from the 2016-based ESRDB market basket to the proposed 2020-based 
ESRDB market basket (12.4 percent to 10.1 percent). Most ESRD 
facilities experienced a decrease in their Pharmaceuticals cost weight 
since 2016.
Supplies
    We calculated the proposed Supplies cost weight using the costs 
reported in the Supplies cost center (Worksheet B, line 5 and the sum 
of lines 8 through 17, column 7) of the MCR. To avoid double-counting, 
the Supplies costs were reduced to exclude the estimated share of Non-
Direct patient care Wages and Salaries associated with this cost 
center. The resulting proposed 2020-based ESRDB market basket weight 
for Supplies is 11.0 percent, approximately 0.6 percentage point higher 
than the weight for the 2016-based ESRDB market basket.
Laboratory Services
    We calculated the proposed Laboratory Services cost weight using 
the costs reported in the Laboratory cost center (Worksheet B, line 5 
and the sum of line 8 through 17, column 8) of the MCR. To avoid 
double-counting, the Laboratory Services costs were reduced to exclude 
the estimated share of Non-Direct Patient Care Wages and Salaries 
associated with this cost center. The proposed 2020-based ESRDB market 
basket weight for Laboratory Services is estimated at 1.3 percent, 
which is a 0.9 percentage point decrease from the 2016-based ESRDB 
market basket.
Housekeeping
    We calculated the proposed Housekeeping cost weight using the costs 
reported on Worksheet A, line 4, column 8, of the MCR. To avoid double-
counting, the weight for the Housekeeping category was reduced to 
exclude the estimated share of Non-Direct Patient Care Wages and 
Salaries associated with this cost center. These costs were divided by 
total costs to derive a proposed 2020-based ESRDB market basket weight 
for Housekeeping of 0.5 percent. For the 2016-based ESRDB market basket 
the cost category weight for both Housekeeping and Operations costs 
were combined into a single cost weight. The Housekeeping cost weight 
in the 2016-based ESRDB market basket would have been 0.5 percent if it 
had been broken out separately.
Operations & Maintenance
    We are proposing a new Operations & Maintenance cost category that 
includes the direct expenses incurred in the operation and maintenance 
of the plant and equipment such as heat, light, water (excluding water 
treatment for dialysis purposes), air conditioning, and air treatment; 
the maintenance and repair of building, parking facilities, and 
equipment; painting; elevator maintenance; performance of minor 
renovation of buildings and equipment; and protecting employees, 
visitors, and facility property. As previously discussed, these costs 
had formerly been combined with the Housekeeping expenses in a single 
cost category for Housekeeping and Operations. The proposed 2020-based 
ESRDB market basket Operations & Maintenance cost category reflects the 
expenses for Operations & Maintenance, which also includes the costs 
for Water and Sewerage that was a stand alone cost category in the 
2016-based ESRDB market basket. We calculated the Operations & 
Maintenance cost weight using the costs reported on Worksheet A, line 
3, column 8, of the MCR. To avoid double-counting, the weight for the 
Operations & Maintenance category was reduced to exclude the estimated 
share of Non-Direct Patient Care Wages and Salaries associated with 
this cost center. The resulting proposed 2020-based ESRDB market basket 
weight for Operations & Maintenance is 3.7 percent.
Capital
    We developed a proposed market basket weight for the Capital 
category using data from Worksheet B of the MCRs. Capital-related costs 
include depreciation and lease expenses for buildings, fixtures and 
movable equipment, property taxes, insurance costs, the costs of 
capital improvements, and maintenance expense for buildings, fixtures, 
and machinery. The MCR captures Capital-related Costs including: (1) 
Capital-Related- Building and Fixtures (2) Capital-Related Costs--
Moveable Equipment and (3) Housekeeping, and Operations & Maintenance 
costs in Worksheet B, column 2. Since we developed separate expenditure 
categories for Housekeeping, and Operations & Maintenance, as detailed 
previously, we excluded these costs from the Capital cost weights. To 
calculate the Capital-related Buildings and Fixtures cost weight we sum 
expenses reported in Worksheet B lines 8 through 17, column 2 less 
Housekeeping, Operations & Maintenance (as derived from expenses 
reported on Worksheet A, as described previously), and less Capital-
related Moveable equipment costs (calculated as Worksheet A, column 8, 
line 2 divided by the sum of Worksheet A, column 8, lines 1 and 2). The 
Capital-related moveable equipment cost weight is equal to Capital-
related Renal Dialysis Equipment costs (Worksheet B, the sum of lines 8 
through 17, column 4 plus Capital-Related Moveable Equipment (as 
described in the prior sentence)). We reasoned this delineation was 
particularly important given the critical role played by dialysis 
machines. Likewise, because price changes associated with Buildings and 
Fixtures could move differently than those associated with Machinery, 
we continue to believe that two capital-related cost categories are 
appropriate. The resulting proposed 2020-based ESRDB market basket 
weights for Capital-related

[[Page 38473]]

Buildings and Fixtures and Capital-related Moveable Equipment are 9.4 
and 4.4 percent, respectively.
Administrative & General
    We computed the proportion of total Administrative & General 
expenditures using the Administrative and General cost center data from 
Worksheet B, the sum of lines 8 through 17, (column 9) of the MCRs. 
Additionally, we removed contract labor from this cost category and 
apportioned these costs to the Wages and Salaries and Employee Benefits 
cost weights. Similar to other expenditure category adjustments, we 
then reduced the computed weight to exclude Wages and Salaries and 
Benefits associated with the Administrative and General cost center for 
Non-direct Patient Care as estimated from the SAS data. The resulting 
Administrative and General cost weight is 13.7 percent.
    We are proposing to further disaggregate the Administrative and 
General cost weight to derive detailed cost weights for Electricity, 
Natural Gas, Telephone, Professional Fees, and All Other Goods and 
Services. These detailed cost weights were derived by inflating the 
detailed 2012 SAS data forward to 2020 by applying the annual price 
changes from the respective price proxies to the appropriate market 
basket cost categories that are obtained from the 2012 SAS data. We 
repeated this practice for each year to 2020. We then calculated the 
cost shares that each cost category represents of the 2012 data 
inflated to 2020. These resulting 2020 cost shares were applied to the 
Administrative and General cost weight derived from the MCR (net of 
contract labor and additional benefits) to obtain the detailed cost 
weights for the proposed 2020-based ESRDB market basket. This method is 
similar to the method used for the 2016-based ESRDB market basket.
    Table 4 lists all of the cost categories and cost weights in the 
proposed 2020-based ESRDB market basket compared to the 2016-based 
ESRDB market basket.
BILLING CODE 4120-01-P
[GRAPHIC] [TIFF OMITTED] TP28JN22.005


[[Page 38474]]


BILLING CODE 4120-01-C
(c) Proposed Price Proxies for the 2020-Based ESRDB Market Basket
    After developing the cost weights for the proposed 2020-based ESRDB 
market basket, we are proposing to select the most appropriate wage and 
price proxies currently available to represent the rate of price change 
for each expenditure category. We based the proposed price proxies on 
BLS data and group them into one of the following BLS categories:
    <bullet> Employment Cost Indexes. Employment Cost Indexes (ECIs) 
measure the rate of change in employment wage rates and employer costs 
for employee benefits per hour worked. These indexes are fixed-weight 
indexes and strictly measure the change in wage rates and employee 
benefits per hour. ECIs are superior to Average Hourly Earnings (AHE) 
as price proxies for input price indexes because they are not affected 
by shifts in occupation or industry mix, and because they measure pure 
price change and are available by both occupational group and by 
industry. The industry ECIs are based on the NAICS and the occupational 
ECIs are based on the Standard Occupational Classification System 
(SOC).
    <bullet> Producer Price Indexes. Producer Price Indexes (PPIs) 
measure price changes for goods sold in other than retail markets. PPIs 
are used when the purchases of goods or services are made at the 
wholesale level.
    <bullet> Consumer Price Indexes. Consumer Price Indexes (CPIs) 
measure change in the prices of final goods and services bought by 
consumers. CPIs are only used when the purchases are similar to those 
of retail consumers rather than purchases at the wholesale level, or if 
no appropriate PPIs are available.
    We evaluated the price proxies using the criteria of reliability, 
timeliness, availability, and relevance:
    Reliability. Reliability indicates that the index is based on valid 
statistical methods and has low sampling variability. Widely accepted 
statistical methods ensure that the data were collected and aggregated 
in a way that can be replicated. Low sampling variability is desirable 
because it indicates that the sample reflects the typical members of 
the population. (Sampling variability is variation that occurs by 
chance because only a sample was surveyed rather than the entire 
population.)
    Timeliness. Timeliness implies that the proxy is published 
regularly, preferably at least once a quarter. The market baskets are 
updated quarterly, and therefore, it is important for the underlying 
price proxies to be up-to-date, reflecting the most recent data 
available. We believe that using proxies that are published regularly 
(at least quarterly, whenever possible) helps to ensure that we are 
using the most recent data available to update the market basket. We 
strive to use publications that are disseminated frequently, because we 
believe that this is an optimal way to stay abreast of the most current 
data available.
    Availability. Availability means that the proxy is publicly 
available. We prefer that our proxies are publicly available because 
this helps to ensure that our market basket increase factors are as 
transparent to the public as possible. In addition, this enables the 
public to be able to obtain the price proxy data on a regular basis.
    Relevance. Relevance means that the proxy is applicable and 
representative of the cost category weight to which it is applied. The 
CPIs, PPIs, and ECIs that we have selected to propose in this proposed 
rule meet these criteria. Therefore, we believe that they continue to 
be the best measure of price changes for the cost categories to which 
they would be applied.
    Table 7 lists all proposed price proxies for the proposed 2020-
based ESRDB market basket. We note that we are proposing to use the 
same proxies as those used in the 2016-based ESRDB market basket, 
except for the price proxy for the Other Drugs (except ESAs) cost 
category. Below is a detailed explanation of the proposed price proxies 
used for each cost category.
Wages and Salaries
    We are proposing to continue using a blend of ECIs to proxy the 
Wages and Salaries cost weight in the proposed 2020-based ESRDB market 
basket, and to continue using four occupational categories and 
associated ECIs based on full-time equivalents (FTE) data from ESRD 
MCRs and ECIs from BLS. We calculated occupation weights for the 
blended Wages and Salaries price proxy using 2020 FTE data from the MCR 
data multiplied by the associated 2020 Average Mean Wage data from the 
Bureau of Labor Statistics' Occupational Employment Statistics. This is 
similar to the methodology used in the 2016-based ESRDB market basket 
to derive these occupational wages and salaries categories.
Health Related Wages and Salaries
    We are proposing to continue using the ECI for Wages and Salaries 
for All Civilian Workers in Hospitals (BLS series code 
#CIU1026220000000I) as the price proxy for health-related occupations. 
Of the two health-related ECIs that we considered (``Hospitals'' and 
``Health Care and Social Assistance''), the wage distribution within 
the Hospital NAICS sector (622) is more closely related to the wage 
distribution of ESRD facilities than it is to the wage distribution of 
the Health Care and Social Assistance NAICS sector (62).
    The Wages and Salaries--Health Related subcategory weight within 
the Wages and Salaries cost category accounts for 79.4 percent of total 
Wages and Salaries in 2020. The ESRD MCR FTE categories used to define 
the Wages and Salaries--Health Related subcategory include 
``Physicians,'' ``Registered Nurses,'' ``Licensed Practical Nurses,'' 
``Nurses' Aides,'' ``Technicians,'' and ``Dieticians''.
Management Wages and Salaries
    We are proposing to continue using the ECI for Wages and Salaries 
for Private Industry Workers in Management, Business, and Financial 
(BLS series code #CIU2020000110000I). We believe this ECI is the most 
appropriate price proxy to measure the wages and salaries price growth 
of management personnel at ESRD facilities.
    The Wages and Salaries--Management subcategory weight within the 
Wages and Salaries cost category is 9.0 percent in 2020. The ESRD MCR 
FTE category used to define the Wages and Salaries--Management 
subcategory is ``Management.''
Administrative Wages and Salaries
    We are proposing to continue using the ECI for Wages and Salaries 
for Private Industry Workers in Office and Administrative Support (BLS 
series code #CIU2020000220000I). We believe this ECI is the most 
appropriate price proxy to measure the wages and salaries price growth 
of administrative support personnel at ESRD facilities.
    The Wages and Salaries--Administrative subcategory weight within 
the Wages and Salaries cost category is 5.3 percent in 2020. The ESRD 
MCR FTE category used to define the Wages and Salaries--Administrative 
subcategory is ``Administrative.''
Services Wages and Salaries
    We are proposing to continue using the ECI for Wages and Salaries 
for Private Industry Workers in Service Occupations (BLS series code 
#CIU2020000300000I). We believe this ECI is the most appropriate price 
proxy to measure the wages and salaries price growth of all other non-
health related, non-management, and non-

[[Page 38475]]

administrative service support personnel at ESRD facilities.
    The Services subcategory weight within the Wages and Salaries cost 
category is 6.3 percent in 2020. The ESRD MCR FTE categories used to 
define the Wages and Salaries--Services subcategory are ``Social 
Workers'' and ``Other.''
    Table 5 lists the four ECI series and the corresponding weights 
used to construct the proposed ECI blend for Wages and Salaries 
compared to the 2016-based weights for the subcategories. We believe 
this proposed ECI blend is the most appropriate price proxy to measure 
the growth of wages and salaries faced by ESRD facilities.
[GRAPHIC] [TIFF OMITTED] TP28JN22.006

Employee Benefits
    We are proposing to continue using an ECI blend for Employee 
Benefits in the proposed 2020-based ESRDB market basket where the 
components match those of the proposed Wage and Salaries ECI blend. The 
proposed occupation weights for the blended Benefits price proxy (Table 
6) are the same as those proposed for the wages and salaries price 
proxy blend as shown in Table 5. BLS does not publish ECI for Benefits 
price proxies for each Wage and Salary ECI; however, where these series 
are not published, they can be derived by using the ECI for Total 
Compensation and the relative importance of wages and salaries with 
total compensation as published by BLS for each detailed ECI 
occupational index.
Health Related Benefits
    We are proposing to continue using the ECI for Benefits for All 
Civilian Workers in Hospitals to measure price growth of this 
subcategory. This is calculated using the ECI for Total Compensation 
for All Civilian Workers in Hospitals (BLS series code 
#CIU1016220000000I) and the relative importance of Wages and Salaries 
within Total Compensation as published by BLS. We believe this 
constructed ECI series is technically appropriate for the reason stated 
in the Wages and Salaries price proxy section.
Management Benefits
    We are proposing to continue using the ECI for Benefits for Private 
Industry Workers in Management, Business, and Financial to measure 
price growth of this subcategory. This ECI is calculated using the ECI 
for Total Compensation for Private Industry Workers in Management, 
Business, and Financial (BLS series code #CIU2010000110000I) and the 
relative importance of wages and salaries within total compensation. We 
believe this constructed ECI series is technically appropriate for the 
reason stated in the Wages and Salaries price proxy section.
Administrative Benefits
    We are proposing to continue using the ECI for Benefits for Private 
Industry Workers in Office and Administrative Support to measure price 
growth of this subcategory. This ECI is calculated using the ECI for 
Total Compensation for Private Industry Workers in Office and 
Administrative Support (BLS series code #CIU2010000220000I) and the 
relative importance of Wages and Salaries within Total Compensation. We 
believe this constructed ECI series is technically appropriate for the 
reason stated in the wages and salaries price proxy section.
Services Benefits
    We are proposing to continue using the ECI for Total Benefits for 
Private Industry Workers in Service Occupations (BLS series code 
#CIU2030000300000I) to measure price growth of this subcategory. We 
believe this ECI series is technically appropriate for the reason 
stated in the Wages and Salaries price proxy section. We believe the 
proposed benefits ECI blend continues to be the most appropriate price 
proxy to measure the growth of benefits prices faced by ESRD 
facilities. Table 6 lists the four ECI series and the corresponding 
weights used to construct the proposed benefits ECI blend.

[[Page 38476]]

[GRAPHIC] [TIFF OMITTED] TP28JN22.007

Electricity
    We are proposing to continue using the PPI Commodity for Commercial 
Electric Power (BLS series code #WPU0542) to measure the price growth 
of this cost category.
Natural Gas
    We are proposing to continue using the PPI Commodity for Commercial 
Natural Gas (BLS series code #WPU0552) to measure the price growth of 
this cost category.
Pharmaceuticals
    ESAs: We are proposing to continue using the PPI Commodity for 
Biological Products, Excluding Diagnostic, for Human Use (which we will 
abbreviate as PPI-BPHU) (BLS series code #WPU063719) as the price proxy 
for the ESA drugs in the market basket. The PPI-BPHU measures the price 
change of prescription biologics, and ESAs would be captured within 
this index, if they are included in the PPI sample. Since the PPI 
relies on confidentiality with respect to the companies and drugs/
biologicals included in the sample, we do not know if these drugs are 
indeed reflected in this price index. However, we believe the PPI-BPHU 
is an appropriate proxy to use because although ESAs may be a small 
part of the fuller category of biological products, we can examine 
whether the price increases for the ESA drugs are similar to the drugs 
included in the PPI-BPHU. We did this by comparing the historical price 
changes in the PPI-BPHU and the average sales price (ASP) for ESAs and 
found the cumulative growth to be consistent over the past 4 years. We 
would continue to monitor the trends in the prices for ESA drugs as 
measured by other price data sources to ensure that the PPI-BPHU is 
still an appropriate price proxy.
    Other Drugs (except ESA): For all other drugs included in the ESRD 
PPS bundled payment other than ESAs, we are proposing to use a blend of 
50 percent of the PPI Commodity for Vitamin, Nutrient, and Hematinic 
Preparations (which we will abbreviate as PPI-VNHP) (BLS series code 
#WPU063807), and 50 percent of the PPI Commodity for Pharmaceuticals 
for human use, prescription (which we will abbreviate as PPI-
Pharmaceuticals) (BLS series code #WPUSI07003). We continue to believe 
that the PPI-VNHP is an appropriate price proxy for the iron 
supplements commonly used in the treatment of ESRD, and an analysis of 
claims data indicate that iron supplement costs account for about half 
of the All Other ESRD-related Drugs costs. For the remaining drugs 
represented in the non-ESA drug category (such as calcimimetics and 
Vitamin D analogs) we believe a different price proxy would be more 
appropriate and we are proposing to use the PPI Commodity for 
Pharmaceuticals for human use, prescription, which captures the 
inflationary price pressures for all types of prescription drugs rather 
than a single therapeutic category of drugs. Though this PPI measure 
includes a wide variety of prescription drugs, we believe it is 
technically appropriate to use a broad indicator of prescription drug 
price trends for three key reasons: (1) the more detailed PPI measure 
where we believe these types of non-ESA drugs would be captured would 
more likely reflect price trends not faced by ESRD facilities, such as 
cancer drugs, (2) there have been notable changes to the types and mix 
of drugs paid for under the ESRD PPS bundled payment since 2016, such 
as the inclusion of formerly oral-only calcimimetics and the addition 
of AKI-related drugs, and (3) the potential for future changes to the 
types and mix of drugs that may be paid for under the ESRD PPS bundled 
payment, such as when other drugs that are currently oral-only drugs 
are included in the ESRD PPS beginning for CY 2025. For these reasons, 
we believe that a broader drug index representing a larger mix of 
prescription drugs is a technical improvement to the proposed price 
proxy for this cost category. We will continue to monitor the relative 
share of expenses for iron supplements and other types of drugs for 
this cost category to determine if the proposed 50/50 PPI blend 
warrants an adjustment, and if so, we would propose such an adjustment 
in future rulemaking.
Supplies
    We are proposing to continue using the PPI Commodity for Surgical 
and Medical Instruments (BLS series code #WPU1562) to measure the price 
growth of this cost category.
Laboratory Services
    We are proposing to continue using the PPI Industry for Medical 
Laboratories (BLS series code #PCU621511621511) to measure the price 
growth of this cost category.
Telephone Service
    We are proposing to continue using the CPI U.S. city average for 
Telephone Services (BLS series code #CUUR0000SEED) to measure the price 
growth of this cost category.
Housekeeping
    We are proposing to continue using the PPI Commodity for Cleaning 
and Building Maintenance Services (BLS series code #WPU49) to measure 
the price growth of this cost category.
Operations & Maintenance
    For the Operations & Maintenance cost category, we are proposing to 
use the ECI for Total compensation for All Civilian workers in 
Installation, maintenance, and repair (BLS series code 
#CIU1010000430000I) to measure the price growth of this cost category.

[[Page 38477]]

This price proxy accounts for the compensation expenses related to 
maintenance and repair workers. We believe the majority of expenses for 
maintenance and repair to be labor-related costs and therefore, believe 
that this ECI is the most technically appropriate price proxy for this 
cost category.
Professional Fees
    We are proposing to continue using the ECI for Total Compensation 
for Private Industry Workers in Professional and Related (BLS series 
code #CIU2010000120000I) to measure the price growth of this cost 
category.
All Other Goods and Services
    We are proposing to continue using the PPI Commodity for Final 
demand--Finished Goods Less Foods and Energy (BLS series code 
#WPUFD4131) to measure the price growth of this cost category.
Capital-Related Building and Fixtures
    We are proposing to continue using the PPI Industry for Lessors of 
Nonresidential Buildings (BLS series code #PCU531120531120) to measure 
the price growth of this cost category.
Capital-Related Moveable Equipment
    We are proposing to continue using the PPI Commodity for Electrical 
Machinery and Equipment (BLS series code #WPU117) to measure the price 
growth of this cost category.
    Table 7 shows all the proposed price proxies and cost weights for 
the proposed 2020-based ESRDB Market Basket.
BILLING CODE 4120-01-P

[[Page 38478]]

[GRAPHIC] [TIFF OMITTED] TP28JN22.008


[[Page 38479]]


(d) Proposed Rebasing Results
    A comparison of the yearly differences of increase factors from CY 
2019 to CY 2023 for the 2016-based ESRDB market basket and the proposed 
2020-based ESRDB market basket is shown in Table 8. The CY 2023 ESRDB 
market basket increase factor would be 0.2 percentage point lower if we 
continued to use the 2016-based ESRDB market basket. For the years 
prior to CY 2023 the annual market basket increase factors were the 
same, except for CY 2021 where the proposed 2020-based market basket 
was 0.1 percentage point lower.
[GRAPHIC] [TIFF OMITTED] TP28JN22.009

(2) Proposed Labor-Related Share for ESRD PPS
    We define the labor-related share (LRS) as those expenses that are 
labor-intensive and vary with, or are influenced by, the local labor 
market. The labor-related share of a market basket is determined by 
identifying the national average proportion of operating costs that are 
related to, influenced by, or vary with the local labor market.
    We are proposing to use the proposed 2020-based ESRDB market basket 
cost weights to determine the proposed labor-related share for ESRD 
facilities. Therefore, effective for CY 2023, we are proposing a labor-
related share of 55.2 percent, compared to the current 52.3 percent 
that was based on the 2016-based ESRDB market basket, as shown in Table 
9. These figures represent the sum of Wages and Salaries, Benefits, 
Housekeeping, Operations & Maintenance, 87 percent of the weight for 
Professional Fees (details discussed later in this subsection), and 46 
percent of the weight for Capital-related Building and Fixtures 
expenses (details discussed later in this subsection). We used the same 
methodology for the 2016-based ESRDB market basket.
[GRAPHIC] [TIFF OMITTED] TP28JN22.010

BILLING CODE 4120-01-C
    The proposed labor-related share for Professional Fees reflects the 
proportion of ESRD facilities' professional fees expenses that we 
believe vary with local labor market (87 percent). We conducted a 
survey of ESRD facilities in 2008 to better understand the proportion 
of contracted professional

[[Page 38480]]

services that ESRD facilities typically purchase outside of their local 
labor market. These purchased professional services include functions 
such as accounting and auditing, management consulting, engineering, 
and legal services. Based on the survey results, we determined that, on 
average, 87 percent of professional services are purchased from local 
firms and 13 percent are purchased from businesses located outside of 
the ESRD's local labor market. Thus, we are proposing to include 87 
percent of the cost weight for Professional Fees in the labor-related 
share (87 percent is the same percentage as used in prior years).
    The proposed labor-related share for capital-related expenses 
reflects the proportion of ESRD facilities' capital-related expenses 
that we believe varies with local labor market wages (46 percent of 
ESRD facilities' Capital-related Building and Fixtures expenses). 
Capital-related expenses are affected in some proportion by variations 
in local labor market costs (such as construction worker wages) that 
are reflected in the price of the capital asset. However, many other 
inputs that determine capital costs are not related to local labor 
market costs, such as interest rates. The 46-percent figure is based on 
regressions run for the inpatient hospital capital PPS in 1991 (56 FR 
43375). We use a similar methodology to calculate capital-related 
expenses for the labor-related shares for rehabilitation facilities (70 
FR 30233), psychiatric facilities, long-term care facilities, and 
skilled nursing facilities (66 FR 39585).
(3) Proposed CY 2023 ESRD Market Basket Increase Factor, Adjusted for 
Productivity
    Under section 1881(b)(14)(F)(i) of the Act, beginning in CY 2012, 
the ESRD PPS payment amounts are required to be annually increased by 
an ESRD market basket percentage increase factor and reduced by the 
productivity adjustment described in section 1886(b)(3)(B)(xi)(II) of 
the Act. We are proposing to use the 2020-based ESRDB market basket as 
described in section II.B.1 of this proposed rule to compute the CY 
2023 ESRDB market basket increase factor and labor-related share based 
on the best available data. Consistent with historical practice, we 
propose to estimate the ESRDB market basket increase factor based on 
IHS Global Inc.'s (IGI) forecast using the most recently available 
data. IGI is a nationally recognized economic and financial forecasting 
firm with which CMS contracts to forecast the components of the market 
baskets.
(a) Proposed CY 2023 Market Basket Increase Factor
    Using this methodology and the IGI forecast available in the first 
quarter of 2022 of the proposed 2020-based ESRDB market basket (with 
historical data through the fourth quarter of 2021), and consistent 
with our historical practice of estimating market basket increases 
based on the best available data, the proposed CY 2023 ESRDB market 
basket increase factor is 2.8 percent.
(b) Proposed Productivity Adjustment
    Under section 1881(b)(14)(F)(i) of the Act, as amended by section 
3401(h) of the Affordable Care Act, for CY 2012 and each subsequent 
year, the ESRD market basket percentage increase factor shall be 
reduced by the productivity adjustment described in section 
1886(b)(3)(B)(xi)(II) of the Act. The statute defines the productivity 
adjustment to be equal to the 10-year moving average of changes in 
annual economy-wide, private nonfarm business multifactor productivity 
(MFP) (as projected by the Secretary for the 10-year period ending with 
the applicable FY, year, cost reporting period, or other annual period) 
(the ``productivity adjustment''). MFP is derived by subtracting the 
contribution of labor and capital input growth from output growth. The 
detailed methodology for deriving the MFP projection was finalized in 
the CY 2012 ESRD PPS final rule (76 FR 70232 through 70235).
    BLS publishes the official measures of productivity for the U.S. 
economy. 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 MFP. Beginning with the November 18, 2021 
release of productivity data, BLS replaced the term ``multifactor 
productivity'' with ``total factor productivity'' (TFP). BLS noted that 
this is a change in terminology only and will not affect the data or 
methodology.\1\ 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 TFP; however, as mentioned 
previously, the data and methods are unchanged. We refer readers to 
<a href="https://www.bls.gov/productivity/">https://www.bls.gov/productivity/</a> for the BLS historical published TFP 
data. A complete description of IGI's TFP projection methodology is 
available on the CMS 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 CY 
2022 ESRD PPS final rule (86 FR 61879), we noted that effective for CY 
2022 and future years, CMS would be changing the name of this 
adjustment to refer to it as the productivity adjustment rather than 
the MFP adjustment. We stated this was not a change in policy, as we 
will continue to use the same methodology for deriving the adjustment 
and rely on the same underlying data.
---------------------------------------------------------------------------

    \1\ Total Factor Productivity in Major Industries--2020. 
Available at: <a href="https://www.bls.gov/news.release/prod5.nr0.htm">https://www.bls.gov/news.release/prod5.nr0.htm</a>.
---------------------------------------------------------------------------

    Using this methodology and IGI's first quarter 2022 forecast, the 
proposed productivity adjustment for CY 2023 (the 10-year moving 
average of TFP for the period ending CY 2023) is projected to be 0.4 
percentage point.
(c) Proposed CY 2023 Market Basket Increase Factor Adjusted for 
Productivity
    As a result of these provisions, the proposed CY 2023 ESRD market 
basket increase factor reduced by the productivity adjustment is 2.4 
percent. This proposed market basket increase factor is calculated by 
starting with the proposed 2020-based ESRDB market basket percentage 
increase factor of 2.8 percent for CY 2023, and reducing it by the 
proposed productivity adjustment (the 10-year moving average of TFP for 
the period ending CY 2023) of 0.4 percentage point. As is our general 
practice, we are also proposing that if more recent data are 
subsequently available (for example, a more recent estimate of the 
market basket increase factor or productivity adjustment), we would use 
such data to determine the market basket increase factor and 
productivity adjustment in the CY 2023 ESRD PPS final rule.
b. Proposed CY 2023 ESRD PPS Wage Indices
(1) Background
    Section 1881(b)(14)(D)(iv)(II) of the Act provides that the ESRD 
PPS may include a geographic wage index payment adjustment, such as the 
index referred to in section 1881(b)(12)(D) of the Act, as the 
Secretary determines to be appropriate. In the CY 2011 ESRD PPS final 
rule (75 FR 49200), we finalized an adjustment for wages at Sec.  
413.231. Specifically, CMS adjusts the labor-related portion of the 
base rate to account for geographic differences in the area wage levels 
using an appropriate wage index, which reflects the relative level of 
hospital wages and wage-related costs in the geographic area in which 
the ESRD facility is located. We use OMB's CBSA-based

[[Page 38481]]

geographic area designations to define urban and rural areas and their 
corresponding wage index values (75 FR 49117). OMB publishes bulletins 
regarding CBSA changes, including changes to CBSA numbers and titles. 
The bulletins are available online at <a href="https://www.whitehouse.gov/omb/information-for-agencies/bulletins/">https://www.whitehouse.gov/omb/information-for-agencies/bulletins/</a>.
    For CY 2023, we are proposing to update the wage indices to account 
for updated wage levels in areas in which ESRD facilities are located 
using our existing methodology. We use the most recent pre-floor, pre-
reclassified hospital wage data collected annually under the inpatient 
PPS. The ESRD PPS wage index values are calculated without regard to 
geographic reclassifications authorized under sections 1886(d)(8) and 
(d)(10) of the Act and utilize prefloor hospital data that are 
unadjusted for occupational mix. For CY 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 have also adopted methodologies for calculating wage index 
values for ESRD facilities that are located in urban and rural areas 
where there is no hospital data. For a full discussion, see the CY 2011 
and CY 2012 ESRD PPS final rules at 75 FR 49116 through 49117 and 76 FR 
70239 through 70241, respectively. For urban areas with no hospital 
data, we compute the average wage index value of all urban areas within 
the state to serve as a reasonable proxy for the wage index of that 
urban CBSA, that is, we use that value as the wage index. For rural 
areas with no hospital data, we compute the wage index using the 
average wage index values from all contiguous CBSAs to represent a 
reasonable proxy for that rural area. We apply the statewide urban 
average based on the average of all urban areas within the state to 
Hinesville-Fort Stewart, Georgia (78 FR 72173), and we apply the wage 
index for Guam to American Samoa and the Northern Mariana Islands (78 
FR 72172).
    A wage index floor value (0.5000) is applied under the ESRD PPS as 
a substitute wage index for areas with very low wage index values. 
Currently, all areas with wage index values that fall below the floor 
are located in Puerto Rico. However, the wage index floor value is 
applicable for any area that may fall below the floor. A description of 
the history of the wage index floor under the ESRD PPS can be found in 
the CY 2019 ESRD PPS final rule (83 FR 56964 through 56967).
    An ESRD facility's wage index is applied to the labor-related share 
of the ESRD PPS base rate. In the CY 2019 ESRD PPS final rule (83 FR 
56963), we finalized a labor-related share of 52.3 percent, which was 
based on the 2016-based ESRDB market basket. In the CY 2021 ESRD PPS 
final rule (85 FR 71436), we updated the OMB delineations as described 
in the September 14, 2018 OMB Bulletin No. 18-04, beginning with the CY 
2021 ESRD PPS wage index. In addition, we finalized the application of 
a 5 percent cap on any decrease in an ESRD facility's wage index from 
the ESRD facility's wage index from the prior CY. We finalized that the 
transition would be phased in over 2 years, such that the reduction in 
an ESRD facility's wage index would be capped at 5 percent in CY 2021, 
and no cap would be applied to the reduction in the wage index for the 
second year, CY 2022. For CY 2023, as discussed in section II.B.1.a (2) 
of this proposed rule, the proposed labor-related share to which the 
wage index would be applied is 55.2 percent, based on the proposed 
2020-based ESRDB market basket.
    For CY 2023, we are proposing to update the ESRD PPS wage index to 
use the most recent hospital wage data. The proposed CY 2023 ESRD PPS 
wage index is set forth in Addendum A and is available on the CMS 
website at <a href="https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/ESRDpayment/End-Stage-Renal-Disease-ESRD-Payment-Regulations-and-Notices">https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/ESRDpayment/End-Stage-Renal-Disease-ESRD-Payment-Regulations-and-Notices</a>. Addendum A provides a crosswalk between the CY 2022 wage 
index and the proposed CY 2023 wage index. Addendum B provides an ESRD 
facility level impact analysis. Addendum B is available on the CMS 
website at <a href="https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/ESRDpayment/End-Stage-Renal-Disease-ESRD-Payment-Regulations-and-Notices">https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/ESRDpayment/End-Stage-Renal-Disease-ESRD-Payment-Regulations-and-Notices</a>.
(2) Proposed Permanent Cap on Wage Index Decreases
    As discussed in section II.B.1.b(1) of this proposed rule and in 
previous ESRD PPS rules, under the authority of section 
1881(b)(14)(D)(iv)(II) of the Act, we have proposed and finalized 
temporary, budget-neutral transition policies in the past to help 
mitigate negative impacts on ESRD facilities following the adoption of 
certain ESRD PPS wage index changes. In the CY 2015 ESRD PPS final rule 
(79 FR 66142), we implemented revised OMB area delineations using a 2-
year transition, with a 50/50 blended wage index for all ESRD 
facilities in CY 2015 \2\ and 100 percent of the wage index based on 
the new OMB delineations in CY 2016. In the CY 2021 ESRD PPS proposed 
rule (85 FR 42160 through 42161), we proposed a transition policy to 
help mitigate any negative impacts that ESRD facilities may experience 
due to our proposal to adopt the 2018 OMB delineations under the ESRD 
PPS. We noted that because the overall amount of ESRD PPS payments 
would increase slightly due to the 2018 OMB delineations, the effect of 
the wage index budget neutrality factor would be to reduce the ESRD PPS 
per treatment base rate for all ESRD facilities paid under the ESRD 
PPS, despite the fact that the majority of ESRD facilities would be 
unaffected by the 2018 OMB delineations. Thus, we explained that we 
believed it would be appropriate to provide for a transition period to 
mitigate the resulting short-term instability of a lower ESRD PPS base 
rate as well as consequential negative impacts to ESRD facilities that 
experience reduced payments. We proposed to apply a 5-percent cap on 
any decrease in an ESRD facility's wage index from its final wage index 
from the prior calendar year, that is, CY 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 (85 FR 71478). We proposed that no cap would 
be applied to the reduction in the wage index for the second year, that 
is, CY 2022 (85 FR 42161).
---------------------------------------------------------------------------

    \2\ ESRD facilities received 50 percent of their CY 2015 wage 
index value based on the OMB delineations for CY 2014 and 50 percent 
of their CY 2015 wage index value based on the newer OMB 
delineations. 79 FR 66142.
---------------------------------------------------------------------------

    Several commenters to the CY 2021 ESRD PPS proposed rule supported 
the wage index transition policy that we proposed for CY 2021; however, 
as discussed in the CY 2021 ESRD PPS final rule (86 FR 71434 through 
71436), some commenters expressed concerns about the large negative 
effects of the new labor market area delineations on certain areas. A 
patient organization suggested that the 5 percent cap may not provide 
an adequate transition for labor market areas that would experience a 
decrease in their wage index of greater than 10 percent. Similarly, a 
national non-profit dialysis organization recommended that CMS provide 
an extended transition period, beyond the proposed 5 percent limit for 
2021, for at least 3 years. Some commenters, including MedPAC, 
suggested

[[Page 38482]]

alternatives to the methodology. MedPAC suggested that the 5 percent 
cap limit should apply to both increases and decreases in the wage 
index.
    We stated in the CY 2021 ESRD PPS final rule that we believed a 5 
percent cap on the overall decrease in an ESRD facility's wage index 
value would be an appropriate transition, as it would effectively 
mitigate any significant decreases in an ESRD facility's wage index for 
CY 2021. With respect to extending the transition period for at least 3 
years, we stated that we believed this would undermine the goal of the 
wage index policy, which is to improve the accuracy of payments under 
the ESRD PPS, and would serve to further delay improving the accuracy 
of the ESRD PPS by continuing to pay certain ESRD facilities more than 
their wage data suggest is appropriate. We also stated that the 
transition policies are not intended to curtail the positive impacts of 
certain wage index changes, so it would not be appropriate to also 
apply the 5 percent cap on wage index increases. We acknowledged that a 
transition policy was necessary to help mitigate initial significant 
negative impacts from revised OMB delineations, but expressed that this 
mitigation must be balanced against the importance of ensuring accurate 
payments. We finalized the transition policy for CY 2021 as proposed. 
We did not propose to extend the transition policy for CY 2022 or 
future years, however, as we discussed in the CY 2022 ESRD PPS final 
rule (86 FR 61881), we received comments acknowledging and supporting 
the final phase-in of the updated OMB delineations for CY 2022.
    Based on our past wage index transition policies and public 
comments, we recognize that certain changes to our wage index policy 
may significantly affect Medicare payments to ESRD facilities. 
Commenters have raised concerns about scenarios in which changes to 
wage index policy may have significant negative impacts on ESRD 
facilities. Therefore, we considered for this CY 2023 ESRD PPS proposed 
rule how best to address those scenarios.
    In the past, we have established transition policies of limited 
duration to phase in significant changes to labor market areas, such as 
revised OMB delineations. In taking this approach in the past, we 
sought to mitigate short-term instability and fluctuations that can 
negatively impact ESRD facilities due to wage index changes. In 
accordance with the ESRD PPS wage index regulations at Sec.  
413.231(a), we adjust the labor-related portion of the base rate to 
account for geographic differences in the area wage levels using an 
appropriate wage index that is established by CMS, and which reflects 
the relative level of hospital wages and wage-related costs in the 
geographic area in which the ESRD facility is located. Our policy is 
generally to use the most current hospital wage data and analysis 
available in order to ensure the accuracy of the ESRD PPS wage index, 
in accordance with Sec.  413.196(d)(2). As discussed earlier in this 
section of the proposed rule, we believe that past wage index 
transition policies have helped mitigate initial significant negative 
impacts from changes such as revised OMB delineations. However, we 
recognize that changes to the wage index have the potential to create 
instability and significant negative impacts on certain ESRD facilities 
even when labor market areas do not change as a result of revised OMB 
delineations. In addition, year-to-year fluctuations in an area's wage 
index can occur due to external factors beyond an ESRD facility's 
control, such as the COVID-19 PHE, and for an individual ESRD facility, 
these fluctuations can be difficult to predict. While we have 
maintained that temporary transition policies provide sufficient time 
for facilities to make operational changes for future CYs and have 
noted separate agency actions to address certain external factors, such 
as the issuance of waivers and flexibilities during the COVID-19 PHE 
(85 FR 71435), we also recognize that predictability in Medicare 
payments is important to enable ESRD facilities to budget and plan 
their operations.
    In light of these considerations, we are proposing a permanent 
mitigation policy to smooth the impact of year-to-year changes in ESRD 
PPS payments related to decreases in the ESRD PPS wage index. We are 
proposing a policy that we believe would increase the predictability of 
ESRD PPS payments for ESRD facilities; mitigate instability and 
significant negative impacts to ESRD facilities resulting from changes 
to the wage index; and use the most current data to maintain the 
accuracy of the ESRD PPS wage index.
    As previously discussed, we believe our transition policy that 
applied a 5-percent cap on wage index decreases for CY 2021 provided 
greater transparency and was administratively less complex than prior 
transition methodologies. In addition, we believe this methodology 
mitigated short-term instability and fluctuations that can negatively 
impact ESRD facilities due to wage index changes. Lastly, we believe 
the 5-percent cap we applied to all wage index decreases for CY 2021 
provided an adequate safeguard against significant and unpredictable 
payment reductions in that year, related to the adoption of the revised 
OMB delineations. However, as discussed earlier in this section of the 
proposed rule, we recognize there are circumstances that a 2-year 
transition policy, like the one adopted for CY 2021, would not 
effectively address for future years in which ESRD facilities continue 
to be negatively affected by significant wage index decreases. We 
believe our proposed permanent policy would eliminate the need for 
temporary and potentially uncertain transition adjustments to the wage 
index in the future due to specific policy changes or circumstances 
outside ESRD facilities' control (for example, public health or other 
emergencies, or the adoption of future OMB revisions to the CBSA 
delineations through rulemaking).
    Typical year-to-year variation in the ESRD PPS wage index has 
historically been within 5 percent, and we expect this will continue to 
be the case in future years. Because ESRD facilities 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 ESRD PPS payments due to any significant wage index 
decreases that may affect ESRD facilities in a year. Therefore, we 
believe this approach would address concerns about instability that 
commenters raised in response to the CY 2021 ESRD PPS proposed rule. In 
addition, we believe that applying a 5-percent cap on all wage index 
decreases would support increased predictability about ESRD PPS 
payments for ESRD facilities, 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 still ensure 
the wage index is a relative measure of the value of labor in 
prescribed labor market areas. With a permanent cap, we would be able 
to continue to update the wage index with the most current hospital 
wage data as required under Sec.  413.196(d)(2) in order to more 
accurately align the use of labor resources with ESRD PPS payment while 
mitigating the instability in payments to individual ESRD facilities 
that such updates may otherwise cause. As discussed in section 
II.B.1.d(2) of this proposed rule, we compute a wage index budget-
neutrality adjustment factor that is applied to the ESRD PPS

[[Page 38483]]

base rate. As discussed in further detail in that section, we estimate 
that applying a 5-percent cap on all wage index decreases would have a 
very small effect on the wage index budget neutrality factor for CY 
2023, and therefore would have a small effect on the ESRD PPS base 
rate. This small effect on budget neutrality also demonstrates that 
this policy would have a minimal impact on the ESRD PPS wage index 
overall. The wage index \3\ is a measure of the value of labor (wage 
and wage-related costs) in a prescribed labor market area relative to 
the national average. Therefore, we anticipate that in the absence of 
any proposed wage index policy changes such as changes to OMB 
delineations, most ESRD facilities would not experience year-to-year 
wage index declines greater than 5 percent in any given year. 
Therefore, we anticipate that the impact to the wage index budget 
neutrality factor in future years would continue to be minimal. We also 
believe that when the 5-percent cap would be applied under this 
proposed policy, it likely would be applied similarly to all ESRD 
facilities 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 proposed 
policy may result in ESRD facilities in a CBSA receiving a higher wage 
index than others in the same area (such as in situations when OMB 
delineations change), we believe the impact would be temporary, as the 
average hourly wage of facilities in a labor market would tend to 
converge to the mean average hourly wage of the CBSA.
---------------------------------------------------------------------------

    \3\ https://www.cms.gov/Medicare/Medicare-Fee-for-Service-
Payment/AcuteInpatientPPS/
wageindex#:~:text=A%20labor%20market%20area's%20wage,portion%20of%20t
he%20standardized%20amounts.
---------------------------------------------------------------------------

    As noted previously in this section of the proposed rule, section 
1881(b)(14)(D)(iv)(II) of the Act provides that the ESRD PPS may 
include a geographic wage index payment adjustment, such as the index 
referred to in section 1881(b)(12)(D) of the Act, as the Secretary 
determines to be appropriate. Under our regulations at Sec.  
413.231(a), we must use an appropriate wage index to adjust the labor-
related portion of the base rate to account for geographic differences 
in the area wage levels. For the reasons discussed in this section of 
the proposed rule, we believe a 5-percent cap on wage index decreases 
would be appropriate for the ESRD PPS. Therefore, for CY 2023 and 
subsequent years, we are proposing to apply a 5-percent cap on any 
decrease to an ESRD facility's wage index from its wage index in the 
prior year, regardless of the circumstances causing the decline. That 
is, we are proposing that an ESRD facility's wage index for CY 2023 
would not be less than 95 percent of its final wage index for CY 2022, 
regardless of whether the ESRD facility is part of an updated CBSA, and 
that for subsequent years, an ESRD facility's wage index would not be 
less than 95 percent of its wage index calculated in the prior CY. This 
also would mean that if an ESRD facility's prior CY wage index is 
calculated with the application of the 5-percent cap, the following 
year's wage index would not be less than 95 percent of the ESRD 
facility's capped wage index in the prior CY. For example, if an ESRD 
facility's wage index for CY 2023 is calculated with the application of 
the 5-percent cap, then its wage index for CY 2024 would not be less 
than 95 percent of its capped wage index in CY 2023. Lastly, we are 
proposing that a newly opened or newly certified ESRD facility would be 
paid the wage index for the area in which it is geographically located 
for its first full or partial CY with no cap applied, because a new 
ESRD facility would not have a wage index in the prior CY. We would 
reflect the proposed permanent cap on wage index decreases in our 
regulations at Sec.  413.231(c).
    As previously discussed in this proposed rule, we believe this 
proposed mitigation policy would maintain the ESRD PPS wage index as a 
relative measure of the value of labor in prescribed labor market 
areas, increase predictability of ESRD PPS payments for ESRD 
facilities, and mitigate instability and significant negative impacts 
to ESRD facilities resulting from significant changes to the wage 
index. In section VII.D.5 of this proposed rule, we estimate the impact 
to payments for ESRD facilities in CY 2023 based on this proposed 
policy. We also note that we would examine the effects of this proposed 
policy, if finalized, on an ongoing basis in the future in order to 
assess its continued appropriateness.
(3) Proposed Update to ESRD PPS Wage Index Floor
(a) Background
    A wage index floor value is applied under the ESRD PPS as a 
substitute wage index for areas with very low wage index values. 
Currently, all areas with wage index values that fall below the floor 
are located in Puerto Rico; however, the wage index floor value is 
applicable for any area that may fall below the floor.
    In the CY 2011 ESRD PPS final rule (75 FR 49116 through 49117), we 
finalized a policy to reduce the wage index floor by 0.05 for each of 
the remaining years of the ESRD PPS transition, that is, until CY 2014. 
We applied a 0.05 reduction to the wage index floor for CYs 2012 and 
2013, resulting in a wage index floor of 0.5500 and 0.5000, 
respectively (CY 2012 ESRD PPS final rule, 76 FR 70241). We continued 
to apply and reduce the wage index floor by 0.05 in CY 2013 (77 FR 
67459 through 67461). Although we only intended to provide a wage index 
floor during the 4-year transition in the CY 2014 ESRD PPS final rule 
(78 FR 72173), we decided to continue to apply the wage index floor and 
reduce it by 0.05 per year for CY 2014 and for CY 2015, resulting in a 
wage index floor of 0.4500 and 0.4000, respectively.
    In the CY 2016 ESRD PPS final rule (80 FR 69006 through 69008), 
however, we decided to maintain a wage index floor of 0.4000, rather 
than further reduce the floor by 0.05. We stated that we needed more 
time to study the wage indices that are reported for Puerto Rico to 
assess the appropriateness of discontinuing the wage index floor (80 FR 
69006).
    In the CY 2017 ESRD PPS proposed rule (81 FR 42817), we presented 
the findings from analyses of ESRD facility cost report and claims data 
submitted by facilities located in Puerto Rico and mainland facilities. 
We solicited public comments on the wage index for CBSAs in Puerto Rico 
as part of our continuing effort to determine an appropriate policy. We 
did not propose to change the wage index floor for CBSAs in Puerto 
Rico, but we requested public comments in which interested parties 
could provide useful input for consideration in future decision making. 
Specifically, we solicited comment on the suggestions that were 
submitted in the CY 2016 ESRD PPS final rule (80 FR 69007). After 
considering the public comments we received regarding the wage index 
floor, in the CY 2017 ESRD PPS final rule, we finalized a wage index 
floor of 0.4000 (81 FR 77858).
    In the CY 2018 ESRD PPS final rule (82 FR 50747), we finalized a 
policy to permanently maintain the wage index floor of 0.4000, because 
we believed it was set at an appropriate level to provide additional 
payment support to the lowest wage areas. This policy also obviated the 
need for an additional budget-neutrality adjustment that would reduce 
the ESRD PPS base rate, beyond the adjustment needed to reflect updated 
hospital wage data, in order to

[[Page 38484]]

maintain budget neutrality for wage index updates.
    In the CY 2019 ESRD PPS proposed rule (83 FR 34328 through 34330), 
we proposed to increase the wage index floor from 0.4000 to 0.5000. We 
conducted various analyses to support our proposal to increase the wage 
index floor from 0.4000 to 0.5000. We calculated alternative wage 
indexes for Puerto Rico that combined labor quantities, that is FTEs, 
from cost reports with BLS wage information to create two regular 
Laspeyres price indexes \4\ (ranging between 0.510 and 0.550). We 
discuss this analysis in detail in the following paragraphs, however, 
the complete discussion can be found in the CY 2019 ESRD PPS proposed 
rule at 83 FR 34328 through 34330.
---------------------------------------------------------------------------

    \4\ A Laspeyres index is an index formula used in price 
statistics for measuring price development of the basket of goods 
and services consumed in the base period (https://ec.europa.eu/
eurostat/statistics-explained/
index.php?title=Glossary:Laspeyres_price_index#:~:text=The%20Laspeyre
s%20price%20index%20is,cost%20in%20the%20current%20period.)
---------------------------------------------------------------------------

    In response to the CY 2019 wage index floor proposal, we received 
several comments. One commenter opposed the proposal and expressed 
concern over the data sources used to develop the wage indexes in 
general. This commenter requested additional documentation of our 
analysis to determine the two alternative wage indices for Puerto Rico. 
Several commenters expressed support for the proposal to increase the 
wage index from 0.40 in 2018 to 0.50 for CY 2019 and subsequent years, 
because they believed it would assist ESRD facilities in providing 
access to high-quality care particularly in rural areas where access 
challenges may be present. Some commenters expressed support for CMS's 
position that the then-current wage index floor was too low; however, 
they recommended CMS set the wage index floor higher than 0.5000 
(specifically, at 0.5936, which was identified as the lower boundary of 
CMS's statistical outlier analysis as discussed further in this section 
of the proposed rule).
    In response to these comments, in the CY 2019 ESRD PPS final rule 
(83 FR 56967), we stated that we continued to believe that a wage index 
floor of 0.5000 struck an appropriate balance between providing 
additional payments to areas that fell below the wage floor while 
minimizing the impact on the ESRD PPS base rate. We noted that the 
purpose of the wage index adjustment is to recognize differences in 
ESRD facility resource use for wages specific to the geographic area in 
which facilities are located. While a wage index floor of 0.5000 
continued to be the lowest wage index nationwide, we noted that the 
areas subject to the floor continued to have the lowest wages compared 
to mainland facilities. We noted that the increase to the wage index 
floor to 0.5000 was a 25 percent increase over the then-current floor 
and would provide a higher wage index for all facilities in Puerto Rico 
where wage indexes, based on hospital reported data, range from .3300 
to .4400. For these reasons, we stated that we believed a wage index 
floor of 0.5000 was appropriate and would support labor costs in low 
wage areas.
    Therefore, in the CY 2019 ESRD PPS final rule (83 FR 56964 through 
56967), we finalized an increase to the wage index floor from 0.4000 to 
0.5000 for CY 2019 and subsequent years. We explained that we revisited 
our evaluation of payments to ESRD facilities located in the lowest 
wage areas to be responsive to comments from interested parties and to 
ensure payments under the ESRD PPS are appropriate. We provided 
statistical analyses that supported a higher wage index floor and 
finalized an increase from 0.4000 to 0.5000 to safeguard access to care 
in affected areas.
    As noted previously in this proposed rule, currently, all areas 
with wage index values that fall below the floor are located in Puerto 
Rico; however, the wage index floor value is applicable for any area 
that may fall below the floor. The wage index floor of 0.5000 has been 
in effect since January 1, 2019.
    We did not include any wage index floor proposals in the CY 2022 
ESRD PPS proposed rule, however, we received several public comments 
regarding the wage index floor. As discussed in the CY 2022 ESRD PPS 
final rule (86 FR 61881), three commenters, including a large dialysis 
organization, a non-profit health insurance organization in Puerto 
Rico, and a healthcare group in Puerto Rico, commented on the wage 
index for ESRD facilities located in Puerto Rico. These commenters 
recommended that CMS increase the wage index floor from 0.5000 to 
0.5500, noting that in the CY 2019 ESRD PPS proposed rule, CMS reported 
that its own analysis indicated that Puerto Rico's wage index likely 
lies between 0.5100 and 0.5500. They noted that CMS further stated that 
any wage index values less than 0.5936 are considered outlier values. 
They also pointed out that CMS still finalized a floor at 0.5000 and 
that we characterized it as a balance between providing additional 
payments to affected areas while minimizing the impact on the ESRD PPS 
base rate. Another commenter recommended that CMS evaluate policy 
inequities between the ESRD PPS wage index for ESRD facilities located 
in Puerto Rico compared to other states and territories, taking into 
consideration the unique circumstances that affect Puerto Rico, 
including its shortage of healthcare specialists and labor work force, 
remote geography, transportation and freighting costs, drug pricing, 
and lack of transitional care services.
    In response to these comments, we stated in the CY 2022 ESRD PPS 
final rule that we would not finalize any changes to those policies 
since we did not propose any changes to the wage index floor or wage 
index methodology for CY 2022, but would take these suggestions into 
account when considering future rulemaking.
(b) Wage Index Floor Proposal
    Section 1881(b)(14)(D)(iv)(II) of the Act provides that the ESRD 
PPS may include a geographic wage index adjustment, such as the index 
referred to in section 1881(b)(12)(D) of the Act, as the Secretary 
determines to be appropriate. Based on this authority, we believe a 
proposal to increase the wage index floor would be in accordance with 
the Secretary's efforts to account for geographic differences in an 
area's wage levels using an appropriate wage index which reflects the 
relative level of hospital wages and wage-related costs in the 
geographic area in which the ESRD facility is located.
    For CY 2023 and subsequent years, we are proposing to increase the 
wage index floor to 0.6000. We believe that this wage floor increase 
would be responsive to comments from interested parties, safeguard 
access to care in areas at the lowest end of the current wage index 
distribution, and be supported by data and analyses that support a 
higher wage index floor, as discussed in the following subsections.
(i) Analysis of Puerto Rico Cost Reports for the CY 2019 ESRD PPS 
Rulemaking
    For the CY 2019 ESRD PPS proposed rule (83 FR 34329 through 34330), 
we performed an analysis using ESRD facility cost reports and wage 
information specific to Puerto Rico from the BLS (<a href="https://www.bls.gov/oes/2015/may/oes_pr.htm">https://www.bls.gov/oes/2015/may/oes_pr.htm</a>). The analysis utilized data from cost reports 
for freestanding facilities and for hospital-based facilities in Puerto 
Rico for CYs 2013 through 2015.
    Using these data, we calculated alternative wage indexes for Puerto 
Rico that combined labor quantities, that is FTEs, from cost reports 
with BLS wage

[[Page 38485]]

information to create two regular Laspeyres price indexes. In the 
context of this analysis, a Laspeyres price index can be viewed as a 
relative, weighted average wage of labor in each geographical area. 
This average combines the wages of various labor categories according 
to certain weights. The two indexes we considered used the same BLS-
derived wages but different weights. The first index used quantity 
weights derived from the overall U.S. use of labor inputs. The second 
index used quantity weights derived from the Puerto Rico use of labor 
inputs. The alternative wage indexes derived from the analysis 
indicated that Puerto Rico's wage index likely lies between 0.5100 and 
0.5500. As noted earlier in this section of this proposed rule and 
discussed in the CY 2019 ESRD PPS final rule (83 FR 56967), commenters 
have noted that both of these values are above the current wage index 
floor and suggest that the current 0.5000 wage index floor may be too 
low. Commenters pointed out CMS's analysis shows that Puerto Rico's 
wage index likely lies between 0.51 and 0.55, while additional analyses 
note that any wage index values less than 0.5936 are considered outlier 
values, with 0.5936 therefore as the lower wage index boundary. They 
expressed concern that in the CY 2019 ESRD PPS proposed rule CMS 
proposed a new floor of only 0.5000 even though the present methodology 
applied to Puerto Rico has created the only outlier in the U.S. As we 
stated in the CY 2019 ESRD PPS final rule (83 FR 56967), at that time, 
we believed that a wage index floor of 0.5000 struck an appropriate 
balance between providing additional payments to areas that fall below 
the wage floor while minimizing the impact on the ESRD PPS base rate. 
At the time, we conducted analyses to gauge the appropriateness of the 
then-current wage index floor of 0.4000 and determine whether it was 
too low. We did not propose to use these analyses to determine the 
exact value for a new wage index floor.
    Specifically, as we explained in the CY 2019 ESRD PPS final rule, 
CMS performed a statistical outlier analysis to identify the upper and 
lower boundaries of the distribution of the current wage index values 
and remove outlier values at the edges of the distribution. In the 
general sense, an outlier is an observation that lies outside a defined 
range from other values in a population. In this case, the population 
of values is the various wage indexes within the CY 2019 wage index. 
The lower and upper quartiles (the 25th and 75th percentiles) are also 
used. The lower quartile is Q1 and the upper quartile is Q3. The 
difference (Q3-Q1) is called the interquartile range (IQR). The IQR is 
used in calculating the inner and outer fences of a data set. The inner 
fences are needed for identifying mild outlier values in the edges of 
the distribution of a data set. Any values in the data set that are 
outside of the inner fences are identified as an outlier. The standard 
multiplying value for identifying the inner fences is 1.5. First, we 
identified the Q1 and Q3 quartiles of the CY 2018 wage index, which are 
as follows: Q1 = 0.8303 and Q3 = 0.9881. Next, we identified the IQR: 
IQR = 0.9881-0.8303 = 0.1578. Finally, we identified the inner fence 
values as shown below. Lower inner fence: Q1-1.5*IQR = 0.8303-(1.5 x 
0.1578) = 0.5936. This statistical outlier analysis demonstrated that 
any wage index values less than 0.5936 are considered outlier values, 
and 0.5936 as the lower boundary also suggested that the current wage 
index floor could be appropriately reset at a higher level.
    Based on these analyses, we finalized a wage index floor of 0.5000 
in the CY 2019 ESRD PPS final rule. We continued to apply the wage 
index floor of 0.5000 per year through CY 2022. Although we did not 
propose specific policies relating to the wage index floor in the CY 
2022 ESRD PPS proposed rule, commenters on that rule noted that past 
hurricanes and the COVID-19 PHE have created infrastructure challenges 
that lead to high costs of dialysis care. These commenters requested 
CMS increase the wage index floor. In response to comments and our 
continued concern regarding access, in this proposed rule, we are 
revisiting the CY 2019 analysis, and believe that the statistical 
analysis of the CY 2019 data indicated that a wage index floor as high 
as 0.5936 would be appropriate.
(ii) Analysis of the CY 2023 ESRD PPS Proposed Rule Analytic File
    We performed an analysis to compare the impact of three options to 
adjust the wage index floor upward using the CY 2023 ESRD PPS proposed 
rule analytic file. The analytic file includes qualifying data for 
beneficiaries for whom a 72x claim for renal dialysis services was 
submitted in the outpatient file setting during CY 2021. We analyzed 
the impact of three options for adjustment for the wage index floor: 
(1) wage index floor of 0.5000 (that is, no change), (2) wage index 
floor of 0.5500, and (3) wage index floor of 0.6000. Specifically, we 
examined how these three options would potentially impact the base 
rate, outlier thresholds, and average payment rates for all ESRD 
facilities.
    Among the three options, we considered the wage index floor of 
0.5000 as the baseline or starting point used for comparisons. We then 
compared the impact on various aspects of the ESRD PPS under the 
alternative options using the 0.5500 and 0.6000 wage index floor.
    First, we examined the potential impact on the base rate. Under the 
baseline (wage index value of 0.5000), the proposed base rate for CY 
2023 would be $264.14. The remaining two options (0.5500 floor and 
0.6000 floor) would result in a base rate of $264.11 and $264.09, 
respectively. These options would decrease the proposed ESRD PPS base 
rate due to the application of the budget neutrality factor for each 
option, however as discussed in the following paragraph, the overall 
impact to ESRD PPS payments would be negligible.
    Next, we examined the potential impact to the outlier thresholds. 
Relative to the baseline (wage index floor value of 0.5000), all 
options would have little or no impact on either the outlier MAP or the 
FDL. Lastly, we examined the potential impact to overall ESRD facility 
payments. After accounting for all payment adjustments under the ESRD 
PPS and applying the required budget neutrality factor for each option, 
all options would be associated with a 3.00 percent increase in 
projected payments for CY 2023 due to the proposed market basket update 
and proposed outlier FDL and MAP amounts. We estimate that the change 
in overall payments attributable to increasing the wage index floor 
would be less than 0.01 percentage point. However, we estimate that 
there would be a significant increase in payments to ESRD facilities 
located in Puerto Rico. Under the 0.5500 wage index floor option, we 
estimate that payments to ESRD facilities in Puerto Rico would increase 
by approximately 3.8 percent relative to the 0.5000 wage index floor 
option. Under the 0.6000 wage index floor option, we estimate that 
payments to Puerto Rico facilities would increase by approximately 7.6 
percent relative to the 0.5000 floor. In other words, increasing the 
wage index floor to 0.6000 would maximize the positive impacts for ESRD 
facilities located in Puerto Rico while continuing to minimize the 
impact to overall ESRD PPS payments.
    As noted previously in this section of the proposed rule, the 
statistical analysis presented in the CY 2019 ESRD PPS rulemaking 
resulted in values for the lower and upper fences for

[[Page 38486]]

appropriate wage index values (lower = 0.5936, upper = 0.7514). Any 
values in the data set that are outside of the fences are identified as 
an outlier. Therefore, the analysis indicated that a wage index floor 
of 0.5936 would be appropriate, because any wage index values less than 
0.5936 or greater than 0.7514 would be considered outlier values, and a 
wage index value within the fences could be appropriate. For greater 
simplicity and public understanding, we propose to round the lower 
fence of 0.5936 to the nearest 0.05, to align with the increment of 
change that we previously adopted in the CY 2011 ESRD PPS final rule 
(75 FR 49116 through 49117) for historical reductions to the ESRD PPS 
wage index floor. As a result, after rounding to the nearest 0.05, a 
wage index floor of 0.6000 would be in line with the data.
    We strive for a wage index floor value that maintains the accuracy 
of payments under the ESRD PPS, that is, has minimal impact on the base 
rate, outlier thresholds, and average payment rates for all ESRD 
facilities. Based on our analysis of several options using the most 
recent analytic file for this proposed rule, a value near the lower 
fence of 0.5936 as described in the prior paragraph would maximize the 
positive impacts for ESRD facilities with wage indexes below the floor 
while continuing to minimize the impact to overall ESRD PPS payments.
(iii) Wage Index Floor Proposed Action
    Based on our re-evaluation the CY 2019 analysis and subsequent 
analysis of several options using the most recent analytic file for 
this proposed rule, we are proposing to increase the wage index floor 
to 0.6000. We believe our analyses support that wage index floor value 
and would strike the right balance between providing increased payment 
to areas to areas for which labor costs are higher than the current 
wage index for the relevant CBSAs indicate, while maintaining the 
accuracy of payments under the ESRD PPS and minimizing the overall 
impact to all ESRD facilities. In addition, we are proposing to amend 
Sec.  413.231 by adding new paragraph (d) to reflect this change and to 
codify the wage index floor policy. We believe this proposed increase 
from the current 0.5000 wage index floor value would minimize the 
impact to the base rate while providing increased payment to areas that 
need it.
    Currently, only rural Puerto Rico and 8 urban CBSAs in Puerto Rico 
receive the wage index floor of 0.5000. The next lowest wage index is 
the Virgin Islands CBSA with a value of 0.6004. Under this proposal, 
all CBSAs in Puerto Rico would be subject to the wage index floor of 
0.6000. Though the proposed wage index floor value currently would only 
affect areas in Puerto Rico, we note that, consistent with our 
established policy, the proposed wage index floor value of 6.000 that 
would be applicable for any area that may fall below the floor.
    We solicit comment on the proposal to increase the wage index floor 
from 0.5000 to 0.6000.
c. Proposed CY 2023 Update to the Outlier Policy
(1) Background
    Section 1881(b)(14)(D)(ii) of the Act requires that the ESRD PPS 
include a payment adjustment for high cost outliers due to unusual 
variations in the type or amount of medically necessary care, including 
variability in the amount of ESAs necessary for anemia management. Some 
examples of the patient conditions that may be reflective of higher 
facility costs when furnishing dialysis care would be frailty and 
obesity. A patient's specific medical condition, such as secondary 
hyperparathyroidism, may result in higher per treatment costs. The ESRD 
PPS recognizes high cost patients, and we have codified the outlier 
policy and our methodology for calculating outlier payments at Sec.  
413.237.
    Section 413.237(a)(1) enumerates the following items and services 
that are eligible for outlier payments as ESRD outlier services. (i) 
Renal dialysis drugs and biological products that were or would have 
been, prior to January 1, 2011, separately billable under Medicare Part 
B; (ii) Renal dialysis laboratory tests that were or would have been, 
prior to January 1, 2011, separately billable under Medicare Part B; 
(iii) Renal dialysis medical/surgical supplies, including syringes, 
used to administer renal dialysis drugs and biological products that 
were or would have been, prior to January 1, 2011, separately billable 
under Medicare Part B; (iv) Renal dialysis drugs and biological 
products that were or would have been, prior to January 1, 2011, 
covered under Medicare Part D, including renal dialysis oral-only drugs 
effective January 1, 2025; and (v) renal dialysis equipment and 
supplies, except for capital-related assets that are home dialysis 
machines (as defined in Sec.  413.236(a)(2)), that receive the 
transitional add-on payment adjustment as specified in Sec.  413.236 
after the payment period has ended.\5\
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    \5\ Under Sec.  413.237(a)(1)(vi), as of January 1, 2012, the 
laboratory tests that comprise the Automated Multi-Channel Chemistry 
panel are excluded from the definition of outlier services.
---------------------------------------------------------------------------

    In the CY 2011 ESRD PPS final rule (75 FR 49142), CMS stated that 
for purposes of determining whether an ESRD facility would be eligible 
for an outlier payment, it would be necessary for the facility to 
identify the actual ESRD outlier services furnished to the patient by 
line item (that is, date of service) on the monthly claim. Renal 
dialysis drugs, laboratory tests, and medical/surgical supplies that 
are recognized as ESRD outlier services were specified in Transmittal 
2134, dated January 14, 2011.\6\ We use administrative issuances and 
guidance to continually update the renal dialysis service items 
available for outlier payment via our quarterly update CMS Change 
Requests, when applicable. For example, we use these issuances to 
identify renal dialysis oral drugs that were or would have been covered 
under Part D prior to 2011 in order to provide unit prices for 
determining the imputed MAP amounts. In addition, we use these 
issuances to update the list of ESRD outlier services by adding or 
removing items and services that we determined, based our monitoring 
efforts, are either incorrectly included or missing from the list.
---------------------------------------------------------------------------

    \6\ Transmittal 2033 issued August 20, 2010, was rescinded and 
replaced by Transmittal 2094, dated November 17, 2010. Transmittal 
2094 identified additional drugs and laboratory tests that may also 
be eligible for ESRD outlier payment. Transmittal 2094 was rescinded 
and replaced by Transmittal 2134, dated January 14, 2011, which 
included one technical correction. <a href="https://www.cms.gov/Regulations-and-Guidance/Guidance/Transmittals/downloads/R2134CP.pdf">https://www.cms.gov/Regulations-and-Guidance/Guidance/Transmittals/downloads/R2134CP.pdf</a>.
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    Under Sec.  413.237, an ESRD facility is eligible for an outlier 
payment if its imputed (that is, calculated) MAP amount per treatment 
for ESRD outlier services exceeds a threshold. The MAP amount 
represents the average estimated expenditure per treatment for services 
that were or would have been considered separately billable services 
prior to January 1, 2011. The threshold is equal to the ESRD facility's 
predicted MAP amount per treatment plus the FDL amount. As described in 
the following paragraphs, the facility's predicted MAP amount is the 
national adjusted average ESRD outlier services MAP amount per 
treatment, further adjusted for case-mix and facility characteristics 
applicable to the claim. We use the term ``national adjusted average'' 
in this section of this proposed rule in order to more clearly 
distinguish the calculation of the average ESRD outlier services MAP 
amount per treatment from the calculation of the predicted MAP amount 
for a claim. The average ESRD outlier services MAP amount per treatment 
is based on

[[Page 38487]]

utilization from all ESRD facilities, whereas the calculation of the 
predicted MAP amount for a claim is based on the individual ESRD 
facility and patient characteristics of the monthly claim. In 
accordance with Sec.  413.237(c), ESRD facilities are paid 80 percent 
of the per treatment amount by which the imputed MAP amount for outlier 
services (that is, the actual incurred amount) exceeds this threshold. 
ESRD facilities are eligible to receive outlier payments for treating 
both adult and pediatric dialysis patients.
    In the CY 2011 ESRD PPS final rule and codified in Sec.  
413.220(b)(4), using 2007 data, we established the outlier percentage, 
which is used to reduce the per treatment base rate to account for the 
proportion of the estimated total payments under the ESRD PPS that are 
outlier payments, at 1.0 percent of total payments (75 FR 49142 through 
49143). We also established the FDL amounts that are added to the 
predicted outlier services MAP amounts. The outlier services MAP 
amounts and FDL amounts are different for adult and pediatric patients 
due to differences in the utilization of separately billable services 
among adult and pediatric patients (75 FR 49140). As we explained in 
the CY 2011 ESRD PPS final rule (75 FR 49138 through 49139), the 
predicted outlier services MAP amounts for a patient are determined by 
multiplying the adjusted average outlier services MAP amount by the 
product of the patient-specific case-mix adjusters applicable using the 
outlier services payment multipliers developed from the regression 
analysis used to compute the payment adjustments. We discuss the 
details of our current methodology for calculating the MAP and FDL 
amounts in the following section.
(2) Overview of Current Outlier Methodology
    We update the national adjusted average MAP amounts and FDL amounts 
each year using the latest available data in the annual regulatory 
updates to the ESRD PPS, in accordance with our longstanding policy (75 
FR 49174). As noted earlier in this section of the proposed rule, based 
on our longstanding policy finalized in the CY 2011 ESRD PPS final rule 
(75 FR 49139 through 49140), the national adjusted average MAP amounts 
represent the national average estimated expenditure per treatment for 
ESRD outlier services, adjusted by a standardization factor. As 
detailed in the following paragraph, when evaluating outlier 
eligibility for a particular patient treated in a particular facility 
for a particular month, this national adjusted average is further 
adjusted to reflect the patient-specific case-mix severity and facility 
characteristics. We refer to this further adjusted MAP amount as the 
predicted MAP amount. Unlike the national average outlier MAP amount 
per treatment, the predicted MAP amount varies across patients (and 
even across patient-months). The national adjusted average MAP amounts 
and FDL amounts are different for adult and pediatric patients due to 
differences in the utilization of separately billable services among 
adult and pediatric patients (75 FR 49140).
    Under the methodology finalized in the CY 2011 ESRD PPS final rule 
(75 FR 49174), each year, using the latest available ESRD PPS data, we 
compute the national average MAP amount, and establish the FDL amount 
at a level that results in projected outlier payments that equal 1.0 
percent of total payments under the ESRD PPS. When setting the outlier 
thresholds for the ESRD PPS rule, we first identify all ESRD outlier 
services for all beneficiaries using the most recently complete 72x 
claims data, which is claims from two years prior. For example, for the 
CY 2022 ESRD PPS rulemaking (86 FR 61882), we used 2020 claims. For 
items billed using HCPCS codes, we include injectable drugs as eligible 
ESRD outlier services if they belong to one of the ESRD PPS functional 
categories but are not in one of the composite rate drug categories 
(both are described in Chapter 11, Section 20.3 of the Medicare Benefit 
Policy Manual).\7\ We do not include composite rate items because they 
are not eligible for outlier payments, in accordance with our 
longstanding ESRD PPS policy of including only formerly separately 
billable items and services as eligible ESRD outlier services (75 FR 
49138). For items billed using National Drug Codes (NDCs), we include 
all oral drugs included on the ESRD outlier services list, which 
includes oral calcimimetics (starting January 1, 2021), and oral 
vitamin D analogs. We also include laboratory services that are on the 
list of eligible ESRD outlier services published by CMS.\8\ Two supply 
HCPCS codes are eligible for outlier payments (A4657 syringe and A4913 
miscellaneous supplies).
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    \7\ <a href="https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/Downloads/bp102c11.pdf">https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/Downloads/bp102c11.pdf</a>.
    \8\ <a href="https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/ESRDpayment/Outlier_Services">https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/ESRDpayment/Outlier_Services</a>.
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(a) Methodology for Calculating Imputed MAP Amounts and Predicted MAP 
Amounts
    As we explained in the CY 2011 ESRD PPS final rule (75 FR 49142), 
the ESRD facility must identify all ESRD outlier services furnished to 
the patient by line item on the monthly claim that it submits to 
Medicare in order to receive the outlier payment adjustment. We 
estimate the imputed MAP amount for these services by applying the 
established pricing methodologies described in the following paragraph 
of this proposed rule. The imputed MAP amounts for each of these 
services are summed and divided by the corresponding number of 
treatments identified on the claim to yield the imputed ESRD outlier 
services MAP amount per treatment.
    We multiply the utilization (that is, units of ESRD outlier 
services reported on the 72X claim) with prices to obtain the outlier-
eligible amount. We obtain the utilization only from claim lines that 
are fully covered by Medicare (that is, claim lines that do not include 
any non-covered charge amount) containing ESRD outlier services. 
Separately billable services that are performed in the ESRD facility 
during dialysis that are not related to the treatment of ESRD are not 
included in the outlier-eligible amount. In the CY 2011 ESRD PPS final 
rule (75 FR 49142), we finalized the basis for estimating imputed MAP 
amounts as follows. For pricing of ESRD outlier services that are Part 
B renal dialysis drugs reported with HCPCS codes, we use the latest 
Average Sales Price (ASP) data, which is updated quarterly. ESRD 
outlier services that are renal dialysis drugs formerly covered under 
Part D and reported with NDCs are priced based on the national average 
pricing data retrieved from the Medicare Prescription Drug Plan Finder, 
which reflect pharmacy dispensing and administration fees. For ESRD 
outlier services that are laboratory tests billed using HCPCS codes, we 
use the latest payment rates from the Clinical Laboratory Fee Schedule. 
For renal dialysis supplies used to administer ESRD outlier services 
Part B drugs (for example, syringes), we estimate MAP amounts based on 
the predetermined fees that apply to these items, that is, we pay $0.50 
for each syringe identified on an ESRD facility's claims form. For 
other medical/surgical supplies such as intravenous sets and gloves, 
the Medicare Claims Processing Manual currently allows Medicare 
contractors to elect among various options to price these supplies, 
such as the Drug Topics Red Book, Med-Span, or First Data Bank

[[Page 38488]]

(CMS Pub. 100-04, Chapter 8, Sec.  60.2.1). We sum up the outlier-
eligible amounts for drugs, laboratory tests, and supplies separately.
    Next, we inflate the outlier-eligible amounts calculated for drugs, 
laboratory tests, and supplies from the latest available prices to 
forecasted prices for the rule year.\9\ For example, in the CY 2022 
ESRD PPS rulemaking (86 FR 61882), we used 2021 prices inflated to the 
forecasted prices for CY 2022. Then, we add the inflated drug, 
laboratory test, and supply amounts and multiply the total amount by 
0.98, in accordance with the budget neutrality requirement under 
section 153(b) of MIPPA. Lastly, we divide the amount by the number of 
treatments reported on the claim in order to obtain imputed MAP amount 
per treatment.
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    \9\ We use a blended 4-quarter moving average of the ESRDB 
market basket price proxies for pharmaceuticals to inflate drug 
prices to the rule year. We inflate laboratory test prices to the 
rule year based on the estimated change in payment rates under the 
Clinical Laboratory Fee Schedule, using a CPI forecast to estimate 
changes for years in which a new survey will be implemented. For 
supplies, we apply a 0 percent inflation factor, because these 
prices are based on predetermined fees or prices established by the 
Medicare contractor.
---------------------------------------------------------------------------

    After calculating the imputed MAP amount per treatment, we then 
compute the predicted MAP amount for the claim. As we explained in the 
CY 2011 ESRD PPS final rule (75 FR 49138 through 49139), the patient-
specific predicted MAP amount is equal to the national adjusted average 
MAP amount multiplied by the patient-specific case-mix adjusters. The 
national average MAP amount is adjusted by applying a standardization 
factor that reflects the national average of patients' outlier services 
case-mix severity. We apply this standardization factor in order to 
avoid systematically biasing the national average MAP amount 
calculation, which would result in setting the FDL amounts at a level 
that is too low. By applying the standardization factor to the national 
average MAP amount when calculating the patient-specific predicted MAP 
amount, we ensure that total imputed MAP dollars equal total predicted 
MAP dollars. The methodology for calculating this standardization 
factor is discussed in detail in the following section.
(b) Methodology for Calculating Case-Mix Standardization Factor and 
National Adjusted Average MAP Amount
    We publish the national adjusted average MAP amount each year in 
the ESRD PPS proposed and final rule along with the adjustment factor. 
We currently use the ESRD outlier services multipliers that are the 
separately billable (SB) multipliers developed from the regression 
analysis used in the CY 2016 ESRD PPS refinement (80 FR 68993 and 80 FR 
69002). As discussed in the CY 2016 ESRD PPS final rule (80 FR 68970), 
in accordance with section 632(c) of ATRA, we analyzed the case-mix 
payment adjustments under the ESRD PPS using more recent data. We 
revised the adjustments by changing the adjustment payment amounts 
based on our updated regression analysis using CYs 2012 and 2013 ESRD 
claims and cost report data. There was no change in the ESRD PPS 
outlier methodology for CY 2016, however, we updated the ESRD outlier 
services multipliers (80 FR 69008). The current ESRD outlier services 
multipliers are presented in Tables 10 and 11 in this section. A more 
detailed description of the steps is provided in the following 
paragraphs.
BILLING CODE 4120-01-P
[GRAPHIC] [TIFF OMITTED] TP28JN22.011


[[Page 38489]]


[GRAPHIC] [TIFF OMITTED] TP28JN22.012

BILLING CODE 4120-01-C
    As discussed in the CY 2011 ESRD PPS final rule (75 FR 49138 
through 49140), in order to calculate the predicted MAP amount per 
treatment, we first compute the weighted mean of the imputed MAP 
amounts per treatment, separately for adult and pediatric patients, at 
the national level. Then, for each claim, we identify the patient's 
case-mix adjustments that are applicable for the month based on 
conditions recorded on the 72x claims, and multiply all applicable ESRD 
outlier services multipliers together to obtain the combined ESRD 
outlier services multiplier. For pediatric patients, the ESRD outlier 
services multipliers are the age and modality adjusters; for adults, 
the ESRD outlier services multipliers include all case-mix and 
facility-level adjusters. We then calculate the national per-treatment 
weighted mean of the combined outlier services multipliers for adult 
and pediatric patients separately. We calculate one standardization 
factor for adult patients and one for pediatric patients. Each 
standardization factor is calculated as follows:

1/(weighted mean of the combined outlier services multipliers).

    We calculate the adjusted national average outlier MAP amount per 
treatment by multiplying the per-treatment weighted mean of the imputed 
outlier MAP amount per treatment by the standardization factor, 
separately for adults and pediatric patients.
    In order to calculate the predicted outlier MAP amount per 
treatment for each claim, we multiply the national adjusted average MAP 
amount per treatment, separate for adults and pediatrics, by all 
applicable outlier services multipliers for that claim.
(c) Methodology for Calculating FDL Amounts
    In accordance with our longstanding methodology, FDL amounts are 
calculated separately for adult and pediatric patients so that 
projected outlier payments equal 1.0 percent of total ESRD PPS payments 
(75 FR 49142 through 49144). For the FDL amounts, we begin by computing 
total payments for the particular rule year separately for adults and 
pediatric patients. We include all anticipated updates such as the wage 
index, market basket update, and productivity adjustment. For each 
claim, we compute:

Outlier payment per Treatment =
Outlier loss share amount * (Imputed MAP amount per Treatment-
(Threshold per Treatment)) =
0.8 * (Imputed MAP amount per Treatment-(Predicted MAP amount per 
Treatment + FDL))

    A claim is eligible for an outlier payment if the imputed MAP 
amount per treatment-(Threshold per Treatment) >0.
    We simulate total outlier payments, separately for adult and 
pediatric patients, starting with the prior rule year's FDL amounts. If 
the sum of projected outlier payments for the particular rule year is 
higher than 1.0 percent of total payments, we increase the FDL amounts 
in order to decrease the amount of outlier payments. In contrast, if 
projected outlier payments are lower than 1.0 percent of total 
payments, we decrease the FDL amounts in order to increase the amount 
of outlier payments. We determine the separate adult and pediatric FDL 
amounts that bring projected adult and pediatric outlier payments to 
1.0 percent of total payments for each patient population. We announce 
the proposed and final MAP amounts and FDL amounts in the annual ESRD 
PPS proposed and final rules, respectively.
(d) Example of Outlier Calculation
    The following is an example of the calculation of the outlier 
payment. John, a 68-year-old male Medicare beneficiary, is 187.96 cm. 
in height and weighs 95 kg. John receives hemodialysis 3 times weekly. 
In January 2022, he was hospitalized for 4 days for a compound ankle 
fracture. During the hospitalization John did not undergo any dialysis 
treatments. After discharge John resumed his dialysis treatments, but 
required additional laboratory testing and above-average doses of 
several injectable drugs, particularly EPO, to return his hemoglobin 
levels to the normal range. During January 2022, John received 9 
hemodialysis treatments at his usual ESRD facility. The facility 
submitted a claim for eligible ESRD outlier services including drugs 
and biological products, laboratory tests, and supplies totaling 
$3,000.00.
    We begin by computing the predicted MAP amount per treatment based 
on the ESRD outlier services case-mix adjustment factors applicable to 
John. These factors are age and BSA. John's BSA is 2.2161. Applying the 
ESRD outlier services multiplier set forth in Table 10 of this proposed 
rule for BSA, John's ESRD outlier services payment multiplier (PM) for 
BSA is computed as follows:

1.000<SUP>(2.2161-1.9)/0.1</SUP> = 1.000<SUP>3.16135</SUP> = 1.000

    Using this calculated PM for BSA and the PM for age from Table 10, 
John's outlier services PM is calculated as:

1.005 * 1.000 = 1.005

    For CY 2022, the national average MAP amount per treatment for 
adult patients is $42.75. Therefore, the predicted MAP amount per 
treatment for John is: $42.75 * 1.005 = $42.96.
    Next, we determine the imputed MAP amount per treatment which 
reflects the estimated expenditure for ESRD outlier services incurred 
by the ESRD facility. John's imputed MAP amount per treatment is equal 
to the total amount of

[[Page 38490]]

drugs and biological products, laboratory tests, and supplies submitted 
on the claim, divided by the number of treatments. We calculate this 
as:

$3000.00/9 = $333.33.

    Next, we must determine if John's ESRD facility is entitled to 
outlier payments for John's January claim by comparing the predicted 
MAP amount to the threshold per treatment. We calculate the threshold 
per treatment by adding the CY 2022 FDL amount to the predicted MAP 
amount for John.
    The threshold amount for John is calculated to reflect the case-mix 
adjustments for age and BSA.

Threshold = Predicted MAP amount ($42.96) + FDL ($75.39) = $118.35

    Because John's imputed MAP amount per treatment was $333.33, which 
exceeds the sum of the predicted MAP amount and FDL amount ($118.35), 
John's ESRD facility is eligible for outlier payments.
    The outlier payments for John's 9 treatments are calculated as the 
amount by which the imputed MAP amount exceeds the threshold, then 
multiplied by the 80 percent loss-sharing ratio.

Imputed MAP amount minus Threshold: $333.33-$118.35 = $214.98
Outlier payments per treatment: $214.98 * .80 = $171.98
Total outlier payments: $171.98 * 9 = $1,547.82
(3) Current Issue and Concerns From Interested Parties
    For several years, outlier payments have consistently landed below 
the target of 1.0 percent of total ESRD PPS payments. Commenters have 
raised concerns that the methodology we currently use to calculate the 
outlier payment adjustment results in underpayment to ESRD facilities, 
as money was removed from the base rate to balance the outlier payment 
(85 FR 71409, 71438 through 71439; 84 FR 60705 through 60706; 83 FR 
56969). Therefore, they have urged us to adopt an alternative modeling 
approach that accounts for declining trends in spending for eligible 
ESRD outlier services over time.
    MedPAC echoed these concerns in a comment in response to the CY 
2021 ESRD PPS proposed rule (85 71438 through 71440), and also 
suggested that the introduction of calcimimetics as an eligible ESRD 
outlier service could perpetuate this issue. MedPAC predicted that if 
calcimimetic use decreases between 2019 (when the products were paid 
under the ESRD PPS using the TDAPA) and 2021 (when the products would 
be paid as part of the ESRD PPS base rate), the outlier threshold would 
be set too high, and outlier payments would be lower than the target of 
1.0 percent of total CY 2021 payments.
    In response to the concerns raised by MedPAC and others, CMS has 
been conducting research in conjunction with its contractor, including 
holding three technical expert panels (TEPs), to investigate possible 
improvements to the ESRD PPS payment methodologies. As discussed in the 
CY 2022 ESRD PPS proposed rule (86 FR 36401 through 36402), during the 
second and third TEP meetings convened by the CMS contractor in 2019 
and 2020, panelists discussed their specific concerns regarding the 
current outlier policy and alternative methodologies to achieve the 1.0 
percent outlier target. Some TEP panelists and interested parties have 
strongly advocated that we establish a new outlier methodology using 
alternative modeling approaches that account for trends in formerly 
separately billable spending over time. Other interested parties 
advocated for changing the outlier percentage. Overall, panelists 
expressed support for any change to outlier calculations that result in 
total outlier payments being closer to the target.
    In the CY 2022 ESRD PPS proposed rule (86 FR 36402), we stated that 
we were considering potential revisions to the calculation of the 
outlier threshold to address concerns from interested parties. In that 
rule, we presented the information that was previously provided to the 
TEP in order to solicit comments from interested parties in the 
dialysis community and the public (86 FR 36402). We published an RFI to 
solicit comments on the approaches noted in the previous paragraph and 
any information that would better inform future modifications to the 
methodology (86 FR 36402). In addition to generally seeking input 
regarding calculating the outlier payment adjustment, we specifically 
requested responses to the following questions:
    <bullet> An alternative approach could be to estimate the 
retrospective FDL trend by using historical utilization data. How many 
years of data should be included in calculation of this trend to best 
capture changes in treatment patterns?
    <bullet> The simulation of the FDL can be improved by better 
anticipating changes in utilization of ESRD outlier services. What are 
the factors that affect the use of ESRD outlier services over time, and 
to what extent should CMS try to forecast the effect of these factors?
    <bullet> As ESRD beneficiaries can now choose to enroll in Medicare 
Advantage (MA), please describe any anticipated effects of this 
enrollment change on the use of ESRD outlier services in the ESRD PPS.
    <bullet> Adoption of the suggested methodology may account for 
systematic changes in the use of high cost outlier items. However, 
inherently unpredictable changes may still push the outlier payment off 
the 1.0 percent target. Please comment on the acceptability of the 
following payment adjustment methods: Payment reconciliation in the 
form of an add-on payment adjustment or a payment reduction might be 
necessary to bring payments in line with the 1 percent target. An add-
on payment adjustment would be distributed after sufficient data reveal 
the magnitude of the deviation (1 year after the end of the payment 
year). The distribution of these monies could be done via a lump sum or 
via a per-treatment payment add-on effective for 1 year. This add-on 
payment adjustment would be paid irrespective of the outlier claim 
status in that year. A payment reduction could take the form of a 
reduction in the base rate, also to be applied 1 year after the end of 
the payment year.
    As discussed in the CY 2022 ESRD PPS final rule (86 FR 61996), we 
received numerous public comments in response to our RFI on payment 
reform under the ESRD PPS. As discussed in a more detailed comment 
summary on the CMS website,\10\ we received comments from major 
national patient and provider organizations and MedPAC on the RFI 
regarding the outlier policy. Commenters reiterated their concerns that 
outlier payments under the ESRD PPS have not achieved the 1.0 percent 
target since the system was implemented. Commenters focused on three 
main suggestions for the outlier policy: (1) reducing the target 
outlier percentage to 0.5 or 0.6 percent, which commenters argued would 
more closely align with the historical percentage that has been paid 
under the ESRD PPS; (2) changing the methodology used to calculate the 
FDL and MAP amounts in order to better account for not only historical 
trends in utilization but also changes in prices and utilization of new 
and innovative products; and (3) re-allocating money from the ESRD PPS 
that is not paid out for outliers--either by allowing unspent funds to 
apply to a subsequent year's withhold amount or establishing a payment 
mechanism to support ESRD facilities' activities aimed at reducing 
health disparities.
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    \10\ <a href="https://www.cms.gov/Medicare/Medicare-Feefor-Service-Payment/ESRDpayment/Educational_Resources">https://www.cms.gov/Medicare/Medicare-Feefor-Service-Payment/ESRDpayment/Educational_Resources</a>.

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[[Page 38491]]

(4) Proposed Changes to the Outlier Methodology for CY 2023
    In response to significant public comments received over many 
years, we are proposing changes to the outlier policy for CY 2023 and 
subsequent years. In developing these proposed changes, we considered 
the three main suggestions that commenters raised in response to the CY 
2022 RFI.
    First, we considered the recommendation from commenters that CMS 
reduce the outlier percentage from 1.0 percent to 0.5 percent or 0.6 
percent. Although this approach would allow us to potentially increase 
payment under the ESRD PPS base rate for treatment of those patients 
who do not qualify for outlier payments, we are chiefly concerned that 
this approach would not directly address the root cause of outlier 
payments totaling less than 1 percent of overall ESRD PPS payments in 
prior years. Although reducing the target outlier percentage would 
reduce the size of outlier payments relative to total ESRD PPS 
payments, we are concerned that if we do not change the methodology 
that we use to prospectively determine the outlier threshold, we may 
continue to not meet even the lower target outlier percentage.
    Additionally, as discussed in the CY 2011 ESRD PPS final rule (75 
FR 49134), we established the 1.0 percent outlier percentage because it 
struck an appropriate balance between our objective of paying an 
adequate amount for the most costly, resource-intensive patients while 
providing an appropriate level of payment for those patients who do not 
qualify for outlier payments. We are concerned that a reduced outlier 
percentage may not provide the appropriate level of payment for outlier 
cases, and may not protect access for beneficiaries whose care is 
unusually costly. This is because if we were to decrease the target 
outlier percentage, we would need to significantly increase the FDL 
amounts, which would make it more difficult for ESRD facilities to 
receive outlier payment based on their claims. Therefore, after careful 
consideration, we are not proposing to reduce the outlier percentage.
    Next, we considered the recommendation to re-allocate money from 
the ESRD PPS that is not paid out for outliers. As explained earlier in 
this section of the proposed rule, we solicited comments in the CY 2022 
ESRD PPS proposed rule (86 FR 36402) about a potential payment 
reconciliation in the form of an add-on payment adjustment or a payment 
reduction, which might be necessary to bring outlier payments in line 
with the 1.0 percent target. As we described in the detailed RFI 
comment summary document on the CMS website,\11\ several commenters 
supported this idea, and recommended that CMS allow unspent outlier 
funds from the prior year to reduce the amount set aside for outliers 
in the next year. Other commenters suggested that unspent outlier funds 
could be used to fund initiatives that support health equity. One 
national dialysis organization pointed out that lags in the claims 
process and refiling of claims, often over different calendar years, 
would present challenges to such an approach. This organization noted 
that these challenges could make it difficult to accurately calculate 
the amount of the add-on payment adjustment or ``clawback'' payment 
amount for each year. We agree with the concerns this organization 
raised, and believe that these challenges would make it difficult to 
accurately operationalize commenters' recommendations that we allow 
unspent funds to apply to a subsequent year's withhold amount or 
establish a payment mechanism to support ESRD facilities' activities 
aimed at reducing health disparities. Therefore, after careful 
consideration, we are not proposing to establish a payment 
reconciliation methodology for the ESRD PPS outlier policy.
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    \11\ <a href="https://www.cms.gov/Medicare/Medicare-Feefor-Service-Payment/ESRDpayment/Educational_Resources">https://www.cms.gov/Medicare/Medicare-Feefor-Service-Payment/ESRDpayment/Educational_Resources</a>.
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    Lastly, we considered the feedback from interested parties and 
commenters in the past ESRD PPS TEPs and in comments to the RFI in the 
CY 2022 ESRD PPS proposed rule regarding the methodology used to 
calculate the FDL amounts. As commenters have previously noted, the 
current methodology that we use to prospectively calculate the FDL 
amounts has not been able to effectively account for declining use of 
eligible ESRD outlier services (that is, separately billable items and 
services prior to 2011) each year since the implementation of the ESRD 
PPS. For example, the CY 2021 FDL amounts ($48.33 for adult and $41.04 
pediatric patients) were added to the predicted MAP amounts to 
determine the outlier thresholds using 2019 data. The outlier MAP 
amount continued to fall from 2019 to 2021. Consequently, in 2021 
claims, outlier payments comprised approximately 0.4 percent of total 
ESRD PPS payments, demonstrating that the use of 2019 data resulted in 
thresholds too high to achieve the targeted 1.0 percent outlier 
payment.
    Several organizations that commented in response to the RFI \12\ in 
the CY 2022 ESRD PPS proposed rule expressed that using a retrospective 
FDL trend based on historical utilization data would provide a better 
calculation of the appropriate prospective FDL amounts. These 
organizations also cautioned that such a methodology would remain 
sensitive to changes in utilization or price increases for new and 
innovative products. Commenters suggested that such a methodology would 
likely not succeed in estimating the appropriate FDL amounts in years 
when there are significant changes to the ESRD PPS, such as in years 
that immediately follow the end of a period during which CMS has paid 
for a product using the TDAPA or TPNIES payment adjustments under the 
ESRD PPS. MedPAC suggested that CMS consider modeling alternative 
approaches to establishing the outlier threshold and use an approach 
that reflects the trend over time in spending for items in the ESRD PPS 
bundled payment that were separately billable prior to 2011.
---------------------------------------------------------------------------

    \12\ <a href="https://www.cms.gov/Medicare/Medicare-Feefor-Service-Payment/ESRDpayment/Educational_Resources">https://www.cms.gov/Medicare/Medicare-Feefor-Service-Payment/ESRDpayment/Educational_Resources</a>.
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    In the CY 2022 ESRD PPS proposed rule (86 FR 36402), we also 
solicited comments on any anticipated effects enrollment changes in MA 
plans might have on the use of ESRD outlier services. National provider 
organizations pointed out that to the extent that MA plans are not 
permitted to systematically include healthier ESRD beneficiaries and 
exclude costly beneficiaries, there would seem to be little impact on 
the outlier pool. They expressed concern about the decision \13\ to 
eliminate network adequacy standards that apply to ESRD facilities.

[[Page 38492]]

They predicted these decisions would discourage many ESRD patients from 
enrolling in MA plans, especially those needing specialized treatment 
or requiring additional medications. To the extent this scenario were 
to occur, commenters argued that it could result in ``outlier'' 
patients, specifically, those sicker, costlier patients, remaining in 
traditional Medicare and the healthier, less costly patients enrolling 
in MA plans.
---------------------------------------------------------------------------

    \13\ We believe the commenters were referring to a CMS decision 
to remove outpatient dialysis from the list of facility types 
subject to network adequacy standards and require that MA 
organizations submit an attestation that it has as an adequate 
network that provides the required access and availability to 
dialysis services, including outpatient facilities. CMS indicated in 
the Medicare Program; Contract Year 2021 Policy and Technical 
Changes to the Medicare Advantage Program, Medicare Prescription 
Drug Benefit Program, and Medicare Cost Plan Program (CMS-4190-F) 
final rule that we believe there is more than one way to access 
medically necessary dialysis care and that we wanted plans to 
exercise all of their options to best meet a beneficiary's health 
care needs. (85 FR 33796, 33852 through 33866). Further, regardless 
of whether a facility or provider specialty type is subject to 
network adequacy standards, MA organizations are required in Sec.  
422.112(a)(3) to arrange for health care services outside of the 
plan provider network when network providers are unavailable or 
inadequate to meet an enrollee's medical needs. Section 
422.112(a)(10) requires MA plans to ensure access and availability 
to covered services consistent with the prevailing community pattern 
of health care delivery in the areas served by the network. (85 FR 
33858 through 33860).
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    Based on these comments, we are proposing an approach that would 
account for the historical trend in spending for formerly separately 
billable items and services and would also effectively account for the 
introduction of new and innovative products under the ESRD PPS. We 
believe that our proposed methodology would also adapt to changes in 
the ESRD PPS patient population, such as the potential scenario that 
commenters raised in which costlier ``outlier'' patients might remain 
in traditional Medicare while healthier, less costly patients enroll in 
MA plans.
    As we discussed earlier in this section of the proposed rule, our 
current methodology prospectively calculates the adult and pediatric 
FDL and MAP amounts based on simulated outlier payments. The 
utilization of outlier services for these simulated outlier payments 
comes from a single year of ESRD PPS claims, and the prices come from 
the pricing methodology described earlier in this section of the 
proposed rule using latest available prices inflated to forecasted 
prices for the rule year. Under the current methodology, we 
prospectively set the adult and pediatric FDL amounts so that simulated 
outlier payments for the rule year are estimated to equal 1.0 percent.
    For CY 2023 and subsequent years, we are proposing to continue to 
calculate the adult and pediatric MAP amounts for the rule year (CY 
2023) following our established methodology, but we are proposing to 
prospectively calculate the adult FDL amounts based on the historical 
trend in FDL amounts that would have achieved the 1.0 percent outlier 
target in the 3 most recent available data years. We are also proposing 
to adjust the calculation of the historical FDL trend for years that 
immediately follow the end of a period during which CMS has paid for a 
product using the TDAPA or TPNIES payment adjustments under the ESRD 
PPS. We note that we are not proposing to apply this method to 
pediatric FDL amount calculations, as the pediatric population is too 
small to reliably use this method.
    We are proposing the following steps for prospectively calculating 
the adult FDL amounts:
    <bullet> Step 1: Use ESRD PPS claims from the 3 most recent 
available data years, relative to the rule year. For CY 2023, this 
would include data from CY 2019, CY 2020, and CY 2021. Using these 
claims, the projected base rate for the rule year, and the latest 
available prices of ESRD outlier services, we would use our established 
methodology to calculate the FDL amounts that would have achieved the 
1.0 percent outlier target for each year. In the following steps, we 
refer to these calculated FDL amounts as the ``retrospective'' FDL 
amounts.
    <bullet> Step 2: If any items or services that were previously paid 
for using the TDAPA or TPNIES in any of the 3 most recent available 
data years would be ESRD outlier services for the rule year, then we 
would also calculate an alternative series of retrospective FDL 
amounts. This alternative series would account for any new ESRD outlier 
services, that is, any ESRD outlier services for the rule year that 
were previously paid for using the TDAPA or TPNIES in any of the 3 most 
recent available data years. In the following steps, we refer to this 
alternative series of retrospective FDL amounts as the ``adjusted'' 
retrospective FDLs. Specifically, we would calculate the adjusted 
retrospective FDL amounts as follows:
    ++ If a new ESRD outlier service was paid for using the TDAPA or 
TPNIES in the most recent available data year, as in the case of 
calcimimetics in the CY 2020 data used for the CY 2022 ESRD PPS 
rulemaking, then we would calculate the first retrospective FDL amount 
for that year using the latest available prices and historical 
utilization of ESRD outlier services that includes TDAPA or TPNIES 
utilization for the new ESRD outlier service. We would also calculate a 
second retrospective FDL amount for that year that excludes the new 
ESRD outlier service. In order to calculate the adjusted retrospective 
FDLs for the preceding 2 data years, we would take the difference 
between the corresponding FDL amount with and without the new ESRD 
outlier service for the most recent data year, and add this amount to 
each retrospective FDL amount calculated in Step 1. For CY 2023, we 
would add the difference calculated for CY 2021 to the retrospective 
FDL amounts for CY 2020 and CY 2019.
    ++ If a new ESRD outlier service first became eligible in the most 
recent available data year, as in the case of calcimimetics in the CY 
2021 data used for this CY 2023 ESRD PPS proposed rule, then we would 
calculate the first retrospective FDL amount for the most recent data 
year using the latest available prices and historical utilization of 
ESRD outlier services. We would also calculate a second retrospective 
FDL amount for that year that excludes the new ESRD outlier service. In 
order to calculate the adjusted retrospective FDL amounts for the 
preceding 2 data years, we would take the difference between the 
corresponding FDL amount with and without the new ESRD outlier service 
for the most recent data year, and add this amount to each 
retrospective FDL amount calculated in Step 1. For CY 2023, we would 
add the difference calculated for CY 2021 to the retrospective FDL 
amounts for CY 2020 and CY 2019.
    ++ If a new ESRD outlier service first became eligible in the 
second most recent available data year, as in the case of calcimimetics 
in the CY 2022 data that we would expect to use for the CY 2024 
rulemaking, then we would calculate retrospective FDL amounts for the 
most recent two data years using the latest available prices and 
historical utilization of outlier services. For the earliest historical 
year, in which the new ESRD outlier service was still being paid for 
using the TDAPA or the TPNIES, we would also calculate a second 
retrospective FDL amount for that year that excludes the new ESRD 
outlier service. In order to calculate the adjusted retrospective FDL 
amount for the earliest historical year, we would take the difference 
between the corresponding FDL amount with and without the new ESRD 
outlier service in the second most recent available data year, and add 
this amount to the retrospective FDL amount calculated in Step 1. For 
CY 2023, we would add the difference calculated for CY 2020 to the 
retrospective FDL amount for CY 2019.
    ++ If a new ESRD outlier service first became outlier eligible 
earlier than any of the 3 most recent available data years, we would 
not calculate any adjusted retrospective FDL amounts for that item or 
service. For example, for CY 2025, we would not calculate any adjusted 
retrospective FDL amounts to account for calcimimetics in the CY 2021, 
CY 2022, and CY 2023 claims. We would calculate only the series of 
retrospective FDL amounts for these years in accordance with Step 1.
    <bullet> Step 3: Using either the series of retrospective FDL 
amounts or adjusted retrospective FDL amounts, as appropriate, for the 
3 most recent available data years, we would use a

[[Page 38493]]

linear regression to calculate the historical trend in FDL amounts. We 
would project this trend forward to determine the appropriate FDL 
amount for the rule year.
    For illustration purposes, Figure 1 presents an example of the 
adult retrospective FDL amounts and adjusted retrospective FDL amounts 
calculated for CY 2019, CY 2020, and CY 2021, as well as the projected 
FDL trend through CY 2023, under our proposed methodology. The adjusted 
retrospective FDL amounts shown in Figure 1 would account for the 
difference in retrospective FDL amounts calculated with and without 
calcimimetics, which became ESRD outlier services beginning January 1, 
2021. Figure 1 illustrates how the proposed methodology would 
incorporate data for new ESRD outlier services while continuing to 
account for the downward historical trend in spending for formerly 
separately billable items and services.
BILLING CODE 4120-01-P
[GRAPHIC] [TIFF OMITTED] TP28JN22.041

(5) Proposed CY 2023 Update to the Outlier Services MAP Amounts and FDL 
Amounts
    We recognize that the utilization of ESAs and other outlier 
services have continued to decline under the ESRD PPS, and that we have 
lowered the MAP amounts and FDL amounts every year under the ESRD PPS. 
As discussed in the CY 2022 ESRD PPS final rule (86 FR 61883), CY 2020 
claims data showed outlier payments represented approximately 0.6 
percent of total payments. CY 2021 claims data show outlier payments 
represent approximately 0.4 percent of total payments. Accordingly, as 
discussed in section II.B.1.c.(4) of this proposed rule, we are 
proposing to change our ESRD PPS outlier methodology to better target 
1.0 percent of total payments. We are proposing that the outlier 
services MAP amounts and pediatric FDL amounts for CY 2023 would be 
derived from claims data from CY 2021, consistent with our policy to 
base any adjustments made to the MAP amounts under the ESRD PPS upon 
the most recent data year available. We are proposing that the adult 
FDL amounts for CY 2023 would be derived from the projected FDL trend 
calculated according to the proposed methodology described in section 
II.B.1.c.(4) of this proposed rule.
    The impact of this proposed update is shown in Table 12, which 
compares the outlier services MAP amounts and FDL amounts used for the 
outlier policy in CY 2022 with the updated proposed estimates for this 
rule. The estimates for the proposed CY 2023 MAP amounts, which are 
included in Column II of Table 12, were inflation adjusted to reflect 
projected 2023 prices for ESRD outlier services.

[[Page 38494]]

[GRAPHIC] [TIFF OMITTED] TP28JN22.013

BILLING CODE 4120-01-C
    As demonstrated in Table 12, the estimated FDL per treatment that 
determines the CY 2023 outlier threshold amount for adults (Column II; 
$40.75) is lower than that used for the CY 2022 outlier policy (Column 
I; $75.39). The lower threshold is accompanied by a decrease in the 
adjusted average MAP for outlier services from $42.75 to $36.85. For 
pediatric patients, there is a decrease in the FDL from $26.02 to 
$21.51. There is a corresponding decrease in the adjusted average MAP 
for outlier services among pediatric patients, from $27.15 to $25.62.
    We estimate that the percentage of patient months qualifying for 
outlier payments in CY 2023 will be 11.54 percent for adult patients 
and 13.58 percent for pediatric patients, based on the 2021 claims data 
and proposed methodology described in section II.B.1.c.(4) of this 
proposed rule. The outlier MAP and FDL amounts continue to be lower for 
pediatric patients than adults due to the continued lower use of 
outlier services (primarily reflecting lower use of ESAs and other 
injectable drugs).
(6) Outlier Percentage
    In the CY 2011 ESRD PPS final rule (75 FR 49081) and under Sec.  
413.220(b)(4), we reduced the per treatment base rate by 1 percent to 
account for the proportion of the estimated total payments under the 
ESRD PPS that are outlier payments as described in Sec.  413.237. Based 
on the 2021 claims, outlier payments represented approximately 0.4 
percent of total payments, which is below the 1 percent target due to 
declines in the use of outlier services. Recalibration of the 
thresholds using 2021 data and the proposed methodology described in 
section II.B.1.c.(4) of this proposed rule are expected to result in 
aggregate outlier payments closer to the 1 percent target in CY 2022. 
We believe the update to the outlier MAP and FDL amounts for CY 2023 
would increase payments for ESRD beneficiaries requiring higher 
resource utilization. This would move us closer to meeting our 1 
percent outlier policy goal, because we are using more current data for 
computing the MAP and FDL amounts, which is more in line with current 
outlier services utilization rates. We also note that recalibration of 
the FDL amounts would result in no change in payments to ESRD 
facilities for beneficiaries with renal dialysis items and services 
that are not eligible for outlier payments.
d. Proposed Impacts to the CY 2023 ESRD PPS Base Rate
(1) ESRD PPS Base Rate
    In the CY 2011 ESRD PPS final rule (75 FR 49071 through 49083), CMS 
established the methodology for calculating the ESRD PPS per-treatment 
base rate, that is, the ESRD PPS base rate, and calculating the per 
treatment payment amount, which are codified at Sec.  413.220 and Sec.  
413.230. The CY 2011 ESRD PPS final rule also provides a detailed 
discussion of the methodology used to calculate the ESRD PPS base rate 
and the computation of factors used to adjust the ESRD PPS base rate 
for projected outlier payments and budget neutrality in accordance with 
sections 1881(b)(14)(D)(ii) and 1881(b)(14)(A)(ii) of the Act, 
respectively. Specifically, the ESRD PPS base rate was developed from 
CY 2007 claims (that is, the lowest per patient utilization year as 
required by section 1881(b)(14)(A)(ii) of the Act), updated to CY 2011, 
and represented the average per treatment MAP for composite rate and 
separately billable services. In accordance with section 1881(b)(14)(D) 
of the Act and our regulation at Sec.  413.230, the per-treatment 
payment amount is the sum of the ESRD PPS base rate, adjusted for the 
patient specific case-mix adjustments,

[[Page 38495]]

applicable facility adjustments, geographic differences in area wage 
levels using an area wage index, and any applicable outlier payment, 
training adjustment add-on, TDAPA, and TPNIES.
(2) Annual Payment Rate Update for CY 2023
    We are proposing an ESRD PPS base rate for CY 2023 of $264.09. This 
proposed update reflects several factors, described in more detail as 
follows:
    Wage Index Budget-Neutrality Adjustment Factor: We compute a wage 
index budget-neutrality adjustment factor that is applied to the ESRD 
PPS base rate. For CY 2023, we are not proposing any changes to the 
methodology used to calculate this factor, which is described in detail 
in the CY 2014 ESRD PPS final rule (78 FR 72174). We computed the 
proposed CY 2023 wage index budget-neutrality adjustment factor using 
treatment counts from the 2021 claims and facility-specific CY 2022 
payment rates to estimate the total dollar amount that each ESRD 
facility would have received in CY 2022. The total of these payments 
became the target amount of expenditures for all ESRD facilities for CY 
2023. Next, we computed the estimated dollar amount that would have 
been paid for the same ESRD facilities using the proposed CY 2023 ESRD 
PPS wage index and proposed labor-related share for CY 2023. As 
discussed in section II.B.1.b of this proposed rule, the proposed ESRD 
PPS wage index for CY 2023 includes an update to the most recent 
hospital wage data and continued use of the 2018 OMB delineations. 
Additionally, as discussed in section II.B.1.b(3)(b)(iii) of this 
proposed rule, we are proposing to increase the ESRD PPS wage index 
floor from 0.5000 to 0.6000 and to apply a permanent 5-percent cap on 
any decrease to an ESRD facility's wage index from its wage index in 
the prior year, regardless of the circumstances causing the decline. 
The total of these payments becomes the new CY 2023 amount of wage-
adjusted expenditures for all ESRD facilities. The wage index budget-
neutrality factor is calculated as the target amount divided by the new 
CY 2023 amount. When we multiplied the wage index budget neutrality 
factor by the applicable CY 2023 estimated payments, aggregate payments 
to ESRD facilities would remain budget neutral when compared to the 
target amount of expenditures. That is, the wage index budget 
neutrality adjustment factor ensures that wage index adjustments do not 
increase or decrease aggregate Medicare payments with respect to 
changes in wage index updates. The CY 2023 proposed wage index budget-
neutrality adjustment factor is 0.999997. This application would yield 
a CY 2023 ESRD PPS proposed base rate of $257.90 prior to the 
application of the market basket increase factor ($257.90 x 0.999997= 
$257.90). This CY 2023 proposed wage index budget-neutrality adjustment 
factor reflects the impact of all proposed wage index changes, 
including the proposed CY 2023 ESRD PPS wage index and labor-related 
share, proposed increase to the wage index floor, and proposed 
permanent 5-percent cap on wage index decreases.
    For purposes of illustration and analysis, we also calculated a 
separate budget neutrality factor in order to estimate the impact that 
the proposed permanent 5-percent cap on wage index decreases would have 
on CY 2023 ESRD PPS payments. Following the steps described earlier in 
this section of the proposed rule, we divided estimated payments 
without the proposed 5-percent cap by estimated payments with the cap. 
We calculated the resulting budget neutrality factor as 0.999910. 
Applying this budget neutrality factor to the ESRD PPS base rate, we 
estimate that the proposed permanent 5-percent cap would result in a 
$0.02 decrease to the ESRD PPS base rate ($257.90 x 0.999910 = 
$257.88). The overall CY 2023 proposed wage index budget-neutrality 
adjustment factor is higher, because the effect on budget neutrality of 
the proposed 5-percent cap is offset by the effect of the proposed 
increase to the labor-related share.
    Market Basket Increase: Section 1881(b)(14)(F)(i)(I) of the Act 
provides that, beginning in 2012, the ESRD PPS payment amounts are 
required to be annually increased by the ESRD market basket percentage 
increase factor. The latest CY 2023 projection of the proposed ESRDB 
market basket percentage increase factor is 2.8 percent. In CY 2023, 
this amount must be reduced by the productivity adjustment described in 
section 1886(b)(3)(B)(xi)(II) of the Act, as required by section 
1881(b)(14)(F)(i)(II) of the Act. As discussed previously in section 
II.B.1.a of this proposed rule, the proposed productivity adjustment 
for CY 2023 is 0.4 percent, thus yielding a proposed update to the base 
rate of 2.4 percent for CY 2023. Therefore, the proposed CY 2023 ESRD 
PPS base rate is $264.09 ($257.90 x 1.024 = $264.09).
e. Update to the Average per Treatment Offset Amount for Home Dialysis 
Machines
    In the CY 2021 ESRD PPS final rule (85 FR 71427), we expanded 
eligibility for the TPNIES under Sec.  413.236 to include certain 
capital-related assets that are home dialysis machines when used in the 
home for a single patient. To establish the TPNIES basis of payment for 
these items, we finalized the additional steps that the Medicare 
Administrative Contractors (MACs) must follow to calculate a pre-
adjusted per treatment amount, using the prices they establish under 
Sec.  413.236(e) for a capital-related asset that is a home dialysis 
machine, as well as the methodology that CMS uses to calculate the 
average per treatment offset amount for home dialysis machines that is 
used in the MACs' calculation, to account for the cost of the home 
dialysis machine that is already in the ESRD PPS base rate. For 
purposes of this proposed rule, we will refer to this as the ``TPNIES 
offset amount.''
    The methodology for calculating the TPNIES offset amount is set 
forth in Sec.  413.236(f)(3). Section 413.236(f)(3)(v) states that 
effective January 1, 2022, CMS annually updates the amount determined 
in Sec.  413.236(f)(3)(iv) by the ESRD bundled market basket percentage 
increase factor minus the productivity adjustment factor. The TPNIES 
for capital-related assets that are home dialysis machines is based on 
65 percent of the MAC-determined pre-adjusted per treatment amount, 
reduced by the TPNIES offset amount, and is paid for 2 calendar years.
    The proposed CY 2023 TPNIES offset amount for capital-related 
assets that are home dialysis machines is $9.73. As discussed 
previously in section II.B.1.a(3)(c) of this proposed rule, the 
proposed CY 2023 ESRD bundled market basket increase factor minus the 
productivity adjustment is 2.4 percent (2.8 percent minus 0.4 
percentage point). Applying the proposed update factor of 1.024 to the 
CY 2022 offset amount results in the proposed CY 2023 offset amount of 
$9.73 ($9.50 x 1.024 = $9.73). We propose to update this calculation to 
use the most recent data available in the CY 2023 ESRD PPS final rule.
f. Proposed Revision to the Oral-Only Drug Definition and Clarification 
Regarding the ESRD PPS Functional Category Descriptions
(1) Background
    Section 1881(b)(14)(A)(i) of the Act requires the Secretary to 
implement a payment system under which a single payment is made to a 
provider of services or a renal dialysis facility for renal dialysis 
services in lieu of any other payment. Section 1881(b)(14)(B) of the 
Act defines renal dialysis services,

[[Page 38496]]

and subclause (iii) of such section states that these services include 
other drugs and biologicals \14\ that are furnished to individuals for 
the treatment of ESRD and for which payment was made separately under 
this title, and any oral equivalent form of such drug or biological.
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    \14\ As discussed in the CY 2019 ESRD PPS final rule (83 FR 
56922), we began using the term ``biological products'' instead of 
``biologicals'' under the ESRD PPS to be consistent with FDA 
nomenclature. We use the term ``biological products'' in this CY 
2023 ESRD PPS proposed rule except where referencing specific 
language in the Act or regulations.
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    When we implemented the ESRD PPS in 2011 (75 FR 49030), we 
interpreted this provision as including not only injectable drugs and 
biological products used for the treatment of ESRD (other than ESAs and 
any oral form of ESAs, which are included under clause (ii) of section 
1881(b)(14)(B) of the Act), but also all oral drugs and biological 
products used for the treatment of ESRD and furnished under title XVIII 
of the Act. We also concluded that, to the extent oral-only drugs or 
biological products used for the treatment of ESRD do not fall within 
clause (iii) of section 1881(b)(14)(B) of the Act, such drugs or 
biological products would fall under clause (iv) of such section, and 
constitute other items and services used for the treatment of ESRD that 
are not described in clause (i) of section 1881(b)(14)(B) of the Act.
    We finalized and promulgated the payment policies for oral-only 
renal dialysis service drugs or biological products in the CY 2011 ESRD 
PPS final rule (75 FR 49038 through 49053). In that rule we defined 
renal dialysis services at Sec.  413.171 as including other drugs and 
biologicals that are furnished to individuals for the treatment of ESRD 
and for which payment was made separately prior to January 1, 2011 
under Title XVIII of the Act, including drugs and biologicals with only 
an oral form. Although we included oral-only renal dialysis service 
drugs and biologicals in the definition of renal dialysis services in 
the CY 2011 ESRD PPS final rule (75 FR 49044), we also finalized a 
policy to delay payment for these drugs under the ESRD PPS until 
January 1, 2014. In the CY 2011 ESRD PPS proposed rule (74 FR 49929), 
we noted that the only oral-only drugs that we identified were 
phosphate binders and calcimimetics, specifically, cinacalcet 
hydrochloride, lanthanum carbonate, calcium acetate, sevelamer 
hydrochloride, and sevelamer carbonate. All of these drugs fall into 
the ESRD PPS functional category for bone and mineral metabolism. In 
the CY 2011 ESRD PPS final rule (75 FR 49043), we explained that there 
were certain advantages to delaying the implementation of payment for 
oral-only drugs and biological products under the ESRD PPS, including 
allowing ESRD facilities additional time to make operational changes 
and logistical arrangements in order to furnish oral-only renal 
dialysis service drugs and biological products to their patients. 
Accordingly, we codified the delay in payment for oral-only renal 
dialysis service drugs and biological products at Sec.  413.174(f)(6), 
and provided that payment to an ESRD facility for renal dialysis 
service drugs and biological products with only an oral form would be 
incorporated into the PPS payment rates effective January 1, 2014. 
Since oral-only drugs are generally not a covered service under 
Medicare Part B, this delay of payment under the ESRD PPS also allowed 
coverage to continue under Medicare Part D.
    On January 3, 2013, ATRA was enacted. Section 632(b) of ATRA 
precluded the Secretary from implementing the policy under Sec.  
413.174(f)(6) relating to oral-only ESRD-related drugs in the ESRD PPS 
prior to January 1, 2016. Accordingly, in the CY 2014 ESRD PPS final 
rule (78 FR 72185 through 72186), we delayed payment for oral-only 
renal dialysis service drugs and biological products under the ESRD PPS 
until January 1, 2016. We implemented this delay by revising the 
effective date at Sec.  413.174(f)(6) for providing payment for oral-
only renal dialysis service drugs under the ESRD PPS from January 1, 
2014 to January 1, 2016. In addition, we changed the date when oral-
only renal dialysis service drugs and biological products would be 
eligible for outlier services under the outlier policy described in 
Sec.  413.237(a)(1)(iv) from January 1, 2014 to January 1, 2016.
    On April 1, 2014, PAMA was enacted. Section 217(a)(1) of PAMA 
amended section 632(b)(1) of ATRA to preclude the Secretary from 
implementing the policy under Sec.  413.174(f)(6) relating to oral-only 
renal dialysis service drugs and biological products prior to January 
1, 2024. We implemented this delay in the CY 2015 ESRD PPS final rule 
(79 FR 66262) by modifying the effective date for providing payment for 
oral-only renal dialysis service drugs and biological products under 
the ESRD PPS at Sec.  413.174(f)(6) from January 1, 2016 to January 1, 
2024. We also changed the date in Sec.  413.237(a)(1)(iv) regarding 
outlier payments for oral-only renal dialysis service drugs made under 
the ESRD PPS from January 1, 2016 to January 1, 2024. Section 217(a)(2) 
of PAMA further amended section 632(b)(1) of ATRA by requiring that in 
establishing payment for oral-only drugs under the ESRD PPS, the 
Secretary must use data from the most recent year available.
    On December 19, 2014, ABLE was enacted. Section 204 of ABLE amended 
section 632(b)(1) of ATRA, as amended by section 217(a)(1) of PAMA, to 
provide that payment for oral-only renal dialysis services cannot be 
made under the ESRD PPS bundled payment prior to January 1, 2025. 
Similar to the CY 2014 and CY 2015 ESRD PPS final rule changes, we 
implemented this delay in the CY 2016 ESRD PPS final rule (80 FR 
469028) by modifying the effective date for providing payment for oral-
only renal dialysis service drugs and biological products under the 
ESRD PPS at Sec.  413.174(f)(6) from January 1, 2024, to January 1, 
2025. We also changed the date in Sec.  413.237(a)(1)(iv) regarding 
outlier payments for oral-only renal dialysis service drugs made under 
the ESRD PPS from January 1, 2024 to January 1, 2025. We stated that we 
continue to believe that oral-only renal dialysis service drugs and 
biological products are an essential part of the ESRD PPS bundled 
payment and should be paid for under the ESRD PPS.
    Section 217(c)(1) of PAMA required us to adopt a process for 
determining when oral-only drugs are no longer oral-only. In the CY 
2016 ESRD PPS proposed rule (80 FR 37839), when considering a 
definition for the term ``oral-only drug,'' we noted that in the CY 
2011 ESRD PPS final rule (75 FR 49038 through 49039), we described 
oral-only drugs as those that have no injectable equivalent or other 
form of administration. In the CY 2016 ESRD PPS final rule (80 FR 
69027), we finalized the definition of oral-only drug at Sec.  
413.234(a) to provide that an oral-only drug is a drug or biological 
with no injectable equivalent or other form of administration other 
than an oral form. We also finalized our process at Sec.  413.234(d) 
for determining that an oral only drug is no longer considered oral-
only when a non-oral version of the oral-only drug is approved by FDA. 
We stated that we will undertake rulemaking to include the oral and any 
non-oral version of the drug in the ESRD PPS bundled payment when it is 
no longer considered an oral-only drug under this regulation. In 
addition, we noted that we will pay for the existing oral-only drugs 
(which were, at that time, only phosphate binders and calcimimetics) 
using the TDAPA, as applicable. We stated that this will allow us to 
collect data reflecting

[[Page 38497]]

current utilization of both the oral and injectable or intravenous 
forms of the drugs, as well as payment patterns and beneficiary co-
pays, before we add these drugs to the ESRD PPS bundled payment. We 
also stated that for future oral-only drugs for which a non-oral form 
of administration comes on the market, we will apply our drug 
designation process as we would for all other new drugs.
    In the CY 2016 ESRD PPS final rule (80 FR 69017), we also codified 
the term ESRD PPS functional category at Sec.  413.234(a) as a distinct 
grouping of drugs and biologicals, as determined by CMS, whose end 
action effect is the treatment or management of a condition or 
conditions associated with ESRD. We explained that we codified this 
definition in regulation text to formalize the approach we adopted in 
CY 2011 because the drug designation process is dependent on the ESRD 
PPS functional categories (80 FR 69015). We provided a detailed 
discussion of how we accounted for renal dialysis drugs and biological 
products in the ESRD PPS base rate since the implementation of the ESRD 
PPS (80 FR 69013 through 69015). We discussed how we grouped renal 
dialysis drugs and biological products into functional categories based 
on their action (80 FR 37831). We explained that this was done for the 
purpose of adding new drugs and biological products with the same 
function into the functional categories and the ESRD PPS bundled 
payment as expeditiously as possible after the drug becomes 
commercially available to provide access for the ESRD Medicare 
population (80 FR 69014). Our approach of considering drugs and 
biological products as included in the ESRD PPS base rate if they fit 
within one of our ESRD PPS functional categories is reflected in the 
drug designation process set forth in our regulations at Sec.  413.234.
    In 2017, FDA approved an injectable calcimimetic. In accordance 
with the policy finalized in the CY 2016 ESRD PPS final rule (80 FR 
69013 through 69027) described in the previous paragraphs, we issued a 
change request to implement payment under the ESRD PPS for both the 
oral and injectable forms of calcimimetics using the TDAPA.\15\ We paid 
for calcimimetics using the TDAPA under the ESRD PPS for 3 years, CY 
2018 through CY

[…truncated; see source link]
Indexed from Federal Register on June 28, 2022.

This is legal information, not legal advice. Laws vary by jurisdiction and change frequently. Always verify current law with official sources and consult a licensed attorney in your jurisdiction for advice on your specific situation.