Evidence map›Paper›PMID 29305529›Full record

ArticleCirculation2018

Geographic Variation in Cardiac Rehabilitation Participation in Medicare and Veterans Affairs Populations: Opportunity for Improvement.

Alexis L Beatty, Michael Truong, David W Schopfer, Hui Shen, Justin M Bachmann, Mary A Whooley

Open access · bronzeAbstract read
In one paragraph

Article in Circulation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 5 pooled it
10.9field-weighted citation impact, top 1% 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

86 citing papers in PubMed, 5 syntheses or guidelines pooled it, 153 citations in OpenAlex.

  1. Pooled it
  2. Home-based versus centre-based cardiac rehabilitation.The Cochrane database of systematic reviews · 2023
    Pooled it
  3. Guideline
  4. Interventions to promote patient utilisation of cardiac rehabilitation.The Cochrane database of systematic reviews · 2019
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26 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Alexis L BeattyVA Puget Sound Health Care System, Seattle, WA (A.L.B.). beattya@uw.edu.
Michael TruongDepartment of Medicine, University of Washington, Seattle (A.L.B., M.T.).
David W SchopferSan Francisco VA Medical Center, CA (D.W.S., H.S., M.A.W.).
Hui ShenSan Francisco VA Medical Center, CA (D.W.S., H.S., M.A.W.).
Justin M BachmannDivision of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN (J.M.B.).
Mary A WhooleySan Francisco VA Medical Center, CA (D.W.S., H.S., M.A.W.).
San Francisco VA Medical Center · USUniversity of Washington · USVanderbilt University Medical Center · US

Funding

The Vanderbilt PCOR Career Knowledge, Education and Training ProgramK12HS022990 · AHRQ · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PENSON, DAVID F. · 2014 to 2018
$3.3M
Improving Analysis of Endogenous Multimodal Treatments for Use in Geriatrics Health Outcomes StudiesI01HX002237 · VA · VA BOSTON HEALTH CARE SYSTEM · PI GARRIDO, MELISSA M · 2018 to 2021
–
AHRQ HHS K12 HS022990HSRD VA CDA 16-150HSRD VA IP1 HX002002HSRD VA QUE 15-019HSRD VA SDR 02-237
6 · The paper itself

Abstract

backgroundCardiac rehabilitation is strongly recommended after myocardial infarction, percutaneous coronary intervention, or coronary artery bypass surgery, but it is historically underused. We sought to evaluate variation in cardiac rehabilitation participation across the United States.

methodsFrom administrative data from the Veterans Affairs (VA) healthcare system and a 5% Medicare sample, we used International Classification of Diseases, 9th Revision codes to identify patients hospitalized for myocardial infarction, percutaneous coronary intervention, or coronary artery bypass surgery from 2007 to 2011. After excluding patients who died in ≤30 days of hospitalization, we calculated the percentage of patients who participated in ≥1 outpatient visits for cardiac rehabilitation during the 12 months after hospitalization. We estimated adjusted and standardized rates of participation in cardiac rehabilitation by state using hierarchical logistic regression models.

resultsOverall, participation in cardiac rehabilitation was 16.3% (23 403/143 756) in Medicare and 10.3% (9123/88 826) in VA. However, participation rates varied widely across states, ranging from 3.2% to 41.8% in Medicare and 1.2% to 47.6% in VA. Similar regional variation was observed in both populations. Patients in the West North Central region (Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota, and South Dakota) had the highest participation, whereas those in the Pacific region (Alaska, California, Hawaii, Oregon, and Washington) had the lowest participation in both Medicare (33.7% versus 10.6%) and VA (16.6% versus 5.1%) populations. Significant hospital-level variation was also present, with participation ranging from 3% to 75% in Medicare and 1% to 43% in VA.

conclusionsCardiac rehabilitation participation remains low overall in both Medicare and VA populations. However, remarkably similar regional variation exists, with some regions and hospitals achieving high rates of participation in both populations. This provides an opportunity to identify best practices from higher performing hospitals and regions that could be used to improve cardiac rehabilitation participation in lower performing hospitals and regions.

Indexed as

MedicareUnited States Department of Veterans AffairsAdministrative Claims, HealthcareAgedAged, 80 and overCardiac RehabilitationDatabases, FactualFemaleHealthcare DisparitiesHeart DiseasesHumansMaleMiddle AgedProcess Assessment, Health CareQuality ImprovementQuality Indicators, Health Carecardiac rehabilitationcardiovascular surgerycoronary artery diseasepercutaneous coronary interventionquality of health care

Identifiers

PMID29305529
PMCPMC5930133
OpenAlexW2781608155

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.