Evidence map›Paper›PMID 36206005›Full record

Trial reportJAMA health forum2022

Financial Incentives to Facilities and Clinicians Treating Patients With End-stage Kidney Disease and Use of Home Dialysis: A Randomized Clinical Trial.

Yunan Ji, Liran Einav, Neale Mahoney, Amy Finkelstein

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA health forum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05005572 (Treatment Choice and Outcomes for End Stage Renal Disease), which is not on this map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.5field-weighted citation impact, top 6% of its field
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.

NCT05005572 nacompletednot on this map

Treatment Choice and Outcomes for End Stage Renal Disease: Evidence From the First Year of a Nationwide Randomized Evaluation

TypeinterventionalSponsorAmy FinkelsteinRan2021 to 2021Enrolled18,621ConditionsEnd Stage Renal DiseaseArmsPayment adjustment for home dialysis and transplant
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 26 citations in OpenAlex.

  1. Trial
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  4. Seasonality, Hospitalization, and Initiation of Home Dialysis: A Retrospective Cohort Study.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2026
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  9. Neighborhood Built Environment and Home Dialysis Utilization: Varying Patterns by Urbanicity-Dependent Patterns and Implications for Policy.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2025
    Article
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  15. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 4 institutions in 1 country.

Yunan JiMcDonough School of Business, Georgetown University, Washington, DC.
Liran EinavDepartment of Economics, Stanford University, Stanford, California.
Neale MahoneyDepartment of Economics, Stanford University, Stanford, California.
Amy FinkelsteinNational Bureau of Economic Research, Cambridge, Massachusetts.
Abdul Latif Jameel Poverty Action Lab · USGeorgetown University · USNational Bureau of Economic Research · USStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Home dialysis rates for end-stage kidney disease (ESKD) treatment are substantially lower in the US than in other high-income countries, yet there is limited knowledge on how to increase these rates. Objective: To report results from the first year of a nationwide randomized clinical trial that provides financial incentives to ESKD facilities and managing clinicians to increase home dialysis rates. Design, Setting, and Participants: Results were analyzed from the first year of the End-Stage Renal Disease Treatment Choice (ETC) model, a multiyear, mandatory-participation randomized clinical trial designed and implemented by the US Center for Medicare & Medicaid Innovation. Data were reported on Medicare patients with ESKD 66 years or older who initiated treatment with dialysis in 2021, with data collection through December 31, 2021; the study included all eligible ESKD facilities and managing clinicians. Eligible hospital referral regions (HRRs) were randomly assigned to the ETC (91 HRRs) or a control group (211 HRRs). Interventions: The ESKD facilities and managing clinicians received financial incentives for home dialysis use. Main Outcomes and Measures: The primary outcome was the percentage of patients with ESKD who received any home dialysis during the first 90 days of treatment. Secondary outcomes included other measures of home dialysis and patient volume and characteristics. Results: Among the 302 HRRs eligible for randomization, 18 621 eligible patients initiated dialysis treatment during the study period (mean [SD] age, 74.8 [1.05] years; 7856 women [42.1%]; 10 765 men [57.9%]; 859 Asian [5.2%], 3280 [17.7%] Black, 730 [4.3%] Hispanic, 239 North American Native, and 12 394 managing clinicians. The mean (SD) share of patients with any home dialysis during the first 90 days was 20.6% (7.8%) in the control group and was 0.12 percentage points higher (95% CI, -1.42 to 1.65 percentage points; P = .88) in the ETC group, a statistically nonsignificant difference. None of the secondary outcomes differed significantly between groups. Conclusions and Relevance: The trial results found that in the first year of the US Center for Medicare & Medicaid Innovation-designed ETC model, HRRs assigned to the model did not have statistically significantly different rates in home dialysis compared with control HRRs. This raises questions about the efficacy of the financial incentives provided, although further evaluation is needed, as the size of these incentives will increase in subsequent years. Trial Registration: ClinicalTrials.gov Identifier: NCT05005572.

Indexed as

Hemodialysis, HomeKidney Failure, ChronicAgedFemaleHumansMaleMedicareMotivationRenal DialysisUnited States

Identifiers

PMID36206005
PMCPMC9547325
OpenAlexW4303437781

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.