Evidence map›Paper›PMID 32520837›Full record

ArticleMedical care2020

Early Delays in Insurance Coverage and Long-term Use of Home-based Peritoneal Dialysis.

Eugene Lin, Glenn M Chertow, Jay Bhattacharya, Darius Lakdawalla

Open access · greenAbstract read
In one paragraph

Article in Medical care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.4field-weighted citation impact, top 7% 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.

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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. 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
    Article
  3. Article
  4. Quality Metrics in Dialysis: It Takes a Village.Advances in kidney disease and health · 2025
    Review
  5. Article
  6. Challenging Assumptions of Outcomes and Costs Comparing Peritoneal and Hemodialysis.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2021
    Article
  7. The COVID-19 Pandemic Converges With Kidney Policy Transformation: Implications for CKD Population Health.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2021
    Article
  8. The "Advancing American Kidney Health" Executive Order: Challenges and Opportunities for the Large Dialysis Organizations.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2020
    Article
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

4 authors at 3 institutions in 2 countries.

Eugene LinDepartment of Medicine, Division of Nephrology.
Glenn M ChertowDepartments of Medicine, Division of Nephrology.
Jay BhattacharyaCenter for Health Policy and Center for Primary Care and Outcomes Research, Stanford University, Stanford.
Darius LakdawallaLeonard D Schaeffer Center for Health Policy and Economics, University of Southern California.
Stanford University · USCenter for Policy Analysis · USUniversity of Southern California · US

Funding

CORE--PROGRAM DEVELOPMENTP30AG017253 · NIA · STANFORD UNIVERSITY · PI BHATTACHARYA, JAY · 1999 to 2019
$5.8M
Ensuring Access to Novel Alzheimer’s and Dementia Treatments: Evaluating Innovative Payment ApproachesR01AG062277 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GOLDMAN, DANA P, LAKDAWALLA, DARIUS N. · 2018 to 2021
$2.3M
Mentoring Patient-Oriented Clinical Investigators in NephrologyK24DK085446 · NIDDK · STANFORD UNIVERSITY · PI CHERTOW, GLENN MATTHEW · 2010 to 2022
$1.4M
Investigating the Economic and SocialDeterminants of Home Dialysis Drop-OutK08DK118213 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LIN, EUGENE · 2018 to 2022
$854k
NIA NIH HHS P30 AG017253NIA NIH HHS R01 AG062277-01NIDDK NIH HHS K08 DK118213NIDDK NIH HHS K24 DK085446
6 · The paper itself

Abstract

backgroundUninsured patients with end-stage renal disease face barriers to peritoneal dialysis (PD), a type of home dialysis that is associated with improved quality of life and reduced Medicare costs. Although uninsured patients using PD at dialysis start receive retroactive Medicare coverage for required predialysis services, coverage only applies for the calendar month of dialysis start. Thus, initiating dialysis later in the month yields longer retroactive coverage.

objectivesTo examine whether differences in retroactive Medicare were associated with decreased long-term PD use. RESEARCH

designWe exploited the dialysis start date using a regression discontinuity design on a national cohort from the US Renal Data System. SUBJECTS: 36,256 uninsured adults starting dialysis between January 1, 2006 and December 31, 2014. MEASURES: PD use at dialysis days 1, 90, 180, and 360.

resultsStarting dialysis on the first versus last day of the calendar month was associated with an absolute decrease in PD use of 2.7% [95% confidence interval (CI), 1.5%-3.9%], or a relative decrease of 20% (95% CI, 12%-27%) at dialysis day 360. The absolute decrease was 5.5% (95% CI, 3.5%-7.2%) after Medicare established provider incentives for PD in 2011 and 7.2% (95% CI, 2.5%-11.9%) after Medicaid expansion in 2014. Patients were unlikely to switch from hemodialysis to PD after the first month of dialysis (probability of 6.9% in month 1, 1.5% in month 2, and 0.9% in month 4).

conclusionsExtending retroactive coverage for preparatory dialysis services could increase PD use and reduce overall Medicare spending in the uninsured.

Indexed as

Time FactorsAdolescentAdultAgedAged, 80 and overFemaleHemodialysis, HomeHumansInsurance CoverageMaleMedicareMiddle AgedUnited States

Identifiers

PMID32520837
PMCPMC7295012
OpenAlexW3033962567

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.