Evidence map›Paper›PMID 36922091›Full record

ArticleJournal of the American College of Cardiology2023

Geographic Variation in Access to Cardiac Rehabilitation.

Meredith S Duncan, Natalie N Robbins, Steven A Wernke, Robert A Greevy, Sandra L Jackson, Alexis L Beatty, Randal J Thomas, Mary A Whooley, Matthew S Freiberg, Justin M Bachmann

Erratum issuedAbstract read
In one paragraph

Article in Journal of the American College of Cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  15. Heart failure with preserved ejection fraction.Nature reviews. Disease primers · 2024
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Meredith S DuncanDepartment of Biostatistics, University of Kentucky, Lexington, Kentucky, USA.
Natalie N RobbinsVanderbilt Institute for Spatial Research, Vanderbilt University, Nashville, Tennessee, USA.
Steven A WernkeDepartment of Anthropology, Vanderbilt University, Nashville, Tennessee, USA.
Robert A GreevyDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Sandra L JacksonCenters for Disease Control and Prevention, Atlanta, Georgia, USA.
Alexis L BeattyDepartments of Biostatistics, Epidemiology and Medicine, University of California-San Francisco, San Francisco, California, USA.
Randal J ThomasDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Mary A WhooleySan Francisco Veterans Affairs Health Care System and University of California-San Francisco, San Francisco, California, USA.
Matthew S FreibergVeterans Affairs Tennessee Valley Healthcare System, Nashville, Tennessee, USA; Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Justin M BachmannVeterans Affairs Tennessee Valley Healthcare System, Nashville, Tennessee, USA; Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA. Electronic address: https://twitter.com/JBachmannMD.

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Institutional Career Development CoreKL2TR001996 · NCATS · UNIVERSITY OF KENTUCKY · PI BUSH, MATTHEW LEE, KELLY, THOMAS H. · 2016 to 2025
$7.1M
The Vanderbilt PCOR Career Knowledge, Education and Training ProgramK12HS022990 · AHRQ · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PENSON, DAVID F. · 2014 to 2018
$3.3M
Development of a Tailored Intervention to Increase Veteran Enrollment in Cardiac RehabilitationIK2HX003021 · VA · VETERANS HEALTH ADMINISTRATION · PI BACHMANN, JUSTIN M · 2021 to 2025
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AHRQ HHS K12 HS022990HSRD VA IK2 HX003021Intramural CDC HHS CC999999NCATS NIH HHS KL2 TR001996NCATS NIH HHS UL1 TR000445
6 · The paper itself

Abstract

backgroundThere is marked geographic variation in cardiac rehabilitation (CR) initiation, ranging from 10% to 40% of eligible patients at the state level. The potential causes of this variation, such as patient access to CR centers, are not well studied.

objectivesThe authors sought to determine how access to CR centers affects CR initiation in Medicare beneficiaries.

methodsThe authors used Medicare files to identify CR-eligible Medicare beneficiaries and calculate CR initiation rates at the hospital referral region (HRR) level. We used linear regression to evaluate the percent variation in CR initiation accounted for by CR access across HRRs. We then employed geospatial hotspot analysis to identify CR deserts, or counties in which patient load per CR center is disproportionately high.

resultsA total of 1,133,657 Medicare beneficiaries were eligible for CR from 2014 to 2017, of whom 263,310 (23%) initiated CR. The West North Central Census Division had the highest adjusted CR initiation rate (35.4%) and the highest density of CR programs (6.58 per 1,000 CR-eligible Medicare beneficiaries). Density of CR programs accounted for 21.2% of geographic variation in CR initiation at the HRR level. A total of 40 largely urban counties comprising 14% of the United States population age ≥65 years had disproportionately low CR access and were identified as CR deserts.

conclusionsA substantial proportion of geographic variation in CR initiation was related to access to CR programs, with a significant amount of the U.S. population living in CR deserts. These data invite further study on interventions to increase CR access.

Indexed as

Cardiac RehabilitationAgedHumansMedicareUnited Statesaccess to carecardiac rehabilitationgeographic variation

Identifiers

PMID36922091
PMCPMC10901160

What OpenQuestion holds

Textmetadata
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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.