Evidence map›Paper›PMID 42030054›Full record

ArticleJAMA health forum2026

End-Stage Renal Disease Treatment Choices Model and Use of Home Dialysis and Kidney Transplant.

Meehir N Dixit, Kalli G Koukounas, Kelsey M Drewry, Adam S Wilk, Yoojin Lee, Rachel E Patzer, Rajnish Mehrotra, Maricruz Rivera-Hernandez, David J Meyers, Daeho Kim and 3 more

Abstract read
In one paragraph

Article in JAMA health forum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Meehir N DixitDepartment of Health Services, Policy and Practice, Brown University School of Public Health, Providence, Rhode Island.
Kalli G KoukounasDepartment of Health Services, Policy and Practice, Brown University School of Public Health, Providence, Rhode Island.
Kelsey M DrewryRegenstrief Institute, Indianapolis, Indiana.
Adam S WilkRegenstrief Institute, Indianapolis, Indiana.
Yoojin LeeDepartment of Health Services, Policy and Practice, Brown University School of Public Health, Providence, Rhode Island.
Rachel E PatzerRegenstrief Institute, Indianapolis, Indiana.
Rajnish MehrotraKidney Research Institute, Division of Nephrology, Department of Medicine, University of Washington School of Medicine, Seattle.
Maricruz Rivera-HernandezDepartment of Health Services, Policy and Practice, Brown University School of Public Health, Providence, Rhode Island.
David J MeyersDepartment of Health Services, Policy and Practice, Brown University School of Public Health, Providence, Rhode Island.
Daeho KimDepartment of Health Services, Policy and Practice, Brown University School of Public Health, Providence, Rhode Island.
Ankur D ShahWarren Alpert Medical School of Brown University, Providence, Rhode Island.
Christopher H SchmidDepartment of Biostatistics, Brown University School of Public Health, Providence, Rhode Island.
Amal N TrivediDepartment of Health Services, Policy and Practice, Brown University School of Public Health, Providence, Rhode Island.

Funding

Impact of Randomized Payment Incentives on Disparities in Home Dialysis and Kidney TransplantationR01MD017080 · NIMHD · BROWN UNIVERSITY · PI Rachel E Patzer, AMAL N. TRIVEDI · 2022 to 2026
$3.2M
Effects of Expanding Medicare Advantage Enrollment toPersons with End-stage Renal DiseaseR01DK129388 · NIDDK · BROWN UNIVERSITY · PI TRIVEDI, AMAL N. · 2021 to 2024
$2.4M
Medicaid Expansion, Coverage Loss, and Disparities in Kidney Health in the COVID-19 EraR01DK113298 · NIDDK · BROWN UNIVERSITY · PI TRIVEDI, AMAL N. · 2017 to 2023
$2.2M
NIDDK NIH HHS R01 DK113298NIDDK NIH HHS R01 DK129388NIMHD NIH HHS R01 MD017080
6 · The paper itself

Abstract

Importance: To increase the use of home dialysis and kidney transplant, the Centers for Medicare & Medicaid Services launched the End-Stage Renal Disease Treatment Choices (ETC) model, a mandatory, randomized pay-for-performance program applied to 30% of US hospital referral regions. Its impact after 4 years of implementation is uncertain. Objective: To assess the ETC model's impact on home dialysis, kidney transplant, and transplant waitlist, as well as measure the rate of financial penalties. Design, Setting, and Participants: This retrospective cross-sectional study used traditional Medicare claims and enrollment data for beneficiaries with kidney failure linked to concurrent transplant data from the United Network for Organ Sharing from January 1, 2017 (4 years before model implementation), to September 30, 2024 (3.75 years postimplementation). Exposures: Receiving dialysis treatment in a region randomly assigned to the ETC model. Main Outcomes and Measures: Primary outcomes were rates of home dialysis, kidney transplant, and transplant waitlist, as well as facility-level financial penalization. Facility-level financial penalties were assessed using Centers for Medicare & Medicaid Services-published performance data. Results: The study population included 795 232 persons with kidney failure (mean [SD] age, 61.8 [14.4] years; 41.5% female), reflecting 20 729 696 person-months from January 1, 2017, to September 30, 2024. The rate of home dialysis increased from 12.8% to 16.7% of attributed patient-months in ETC regions (change of 3.9 percentage points [pp]) and from 13.7% to 17.3% in control regions (change of 3.7 pp), yielding an adjusted differences-in-differences of -0.1 pp (95% CI, -0.6 to 0.5 pp). The number of kidney transplants per 1000 patient-months increased from 3.3 to 4.5 in ETC regions (change of 1.2) and from 3.4 to 4.4 in control regions (change of 1.0), resulting in a differences-in-differences of 0.2 pp (95% CI, -0.1 to 0.4 pp). The percentage of patients per month on the transplant waitlist decreased from 16.1% to 15.5% in ETC regions (change of -0.5 pp) and from 17.7% to 16.7% in control regions (change of -1.0 pp). The adjusted differences-in-differences for transplant waitlist was 0.6 pp (95% CI, -0.3 to 1.6 pp). The proportion of ETC facilities receiving financial penalties increased from 13.8% in 2021 to 25.1% in 2023. Subgroup analyses showed no meaningful differential effects of the model. Conclusions and Relevance: This cross-sectional study shows that after nearly 4 years, the ETC model was not associated with meaningful increases in home dialysis, kidney transplant, or transplant waitlist, while the proportion of facilities receiving financial penalties increased. Future value-based payment models may need to move beyond narrowly targeted financial incentives to address the broader structural and patient-level barriers that influence access to complex specialty care.

Indexed as

Hemodialysis, HomeKidney Failure, ChronicKidney TransplantationReimbursement, IncentiveAgedChoice BehaviorCross-Sectional StudiesFemaleHumansMaleMedicareMiddle AgedRetrospective StudiesUnited StatesWaiting Lists

Identifiers

PMID42030054
PMCPMC13109795

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.