Evidence map›Paper›PMID 42016440›Full record

ArticleKidney medicine2026

Differences in Telemedicine Use Between Rural and Urban Medicare Beneficiaries With Kidney Failure.

Joel T Adler, Arnold E Kuk, Layla Parast

Abstract read
In one paragraph

Article in Kidney medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

3 authors.

Joel T AdlerDivision of Transplantation, Department of Surgery and Perioperative Care, Dell Medical School at the University of Texas at Austin, Austin, TX.
Arnold E KukBiomedical Data Sciences Hub, Dell Medical School at the University of Texas at Austin, Austin, TX.
Layla ParastDepartment of Statistics and Data Science, University of Texas at Austin, Austin, TX.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rationale & Objective: Telemedicine offers a potential solution to address disparities in health care access among rural and urban patients with kidney failure. This study examined telehealth utilization patterns and urban-rural differences before and during the coronavirus disease 2019 (COVID-19) pandemic. Study Design: Retrospective observational cohort study. Setting & Population: Medicare beneficiaries (with both parts A and B) with kidney failure, on kidney replacement therapy of any modality (excluding transplant) from the United States Renal Data System, totaling 787,959 patients (2017-2021). Exposure: Urban versus rural residence, before (January 2020) and during (January 2021) the COVID-19 pandemic. Outcomes: Telehealth utilization, defined as any claim for telemedicine services, including mental health, primary care, nephrology, and other services. Analytical Approach: Multivariable logistic regression assessed predictors of telehealth use. Geographic variation was analyzed using county-level data. Results: Rural patients were more likely to use telehealth prepandemic (OR, 4.61; 95% CI, 4.11-5.28; Limitations: Exclusion of Medicare Advantage and private insurance data may limit generalizability. The study did not assess outcomes associated with telehealth use. Conclusions: Telehealth use considerably increased for patients with kidney failure during the pandemic, particularly in urban areas, but racial, ethnic, and social disparities persist. Efforts to promote equitable telehealth use and access are essential to advance health equity for patients with kidney failure.

Indexed as

digital accessEnd-stage kidney diseasehealth disparitiesMedicaremental health servicesrural healthtelehealthtelemedicinevirtual care

Identifiers

PMID42016440
PMCPMC13092677

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.