Evidence map›Paper›PMID 34095383›Full record

ArticleData in brief2021

Appointment wait time data for primary & specialty care in veterans health administration facilities vs. community medical centers.

Yevgeniy Feyman, Aaron Legler, Kevin N Griffith

Abstract read
In one paragraph

Article in Data in brief, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
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  7. Utilization and Cost of Veterans Health Administration Referrals to Community Care-Based Physical Therapy.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2025
    Article
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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.

Yevgeniy FeymanDepartment of Health Law, Policy & Management, Boston University School of Public Health, 715 Albany Street, Boston, MA 02118, United States.
Aaron LeglerPartnered Evidence-Based Policy Resource Center, VA Boston Healthcare System, Bldg. 9, 150 S. Huntington Ave., Boston, MA 02130, United States.
Kevin N GriffithPartnered Evidence-Based Policy Resource Center, VA Boston Healthcare System, Bldg. 9, 150 S. Huntington Ave., Boston, MA 02130, United States.

Funding

Learning Health System Scholar Program at VanderbiltK12HS026395 · AHRQ · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ROTHMAN, RUSSELL L., ROUMIE, CHRISTIANNE L. · 2018 to 2022
$2.7M
AHRQ HHS K12 HS026395
6 · The paper itself

Abstract

The datasets summarized in this article include more than 38 million appointment wait times that U.S. military veterans experienced when seeking medical care since January 2014. Our data include both within Veterans Health Administration (VHA) facilities and community medical centers, and wait times are stratified by primary/specialty care type. Deidentified wait time data are reported at the referral-level, at the VHA facility-level, and at the patient's 3-digit ZIP code-level. As of this writing, no other U.S. health care system has made their wait times publicly available. Our data thus represent the largest, national, and most representative measures of timely access to care for patients of both VHA and community providers. Researchers may use these datasets to identify variations in appointment wait times both longitudinally and cross-sectionally, conduct research on policies and interventions to improve access to care, and to incorporate fine-grained measures of wait times into their analyses.

Indexed as

Access to careMedical carePrimary careSpecialty careVeteransVeterans Health AdministrationWait times

Identifiers

PMID34095383
PMCPMC8166772

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.