Evidence map›Paper›PMID 39073213›Full record

ArticleHealth services research2024

Information and resources VA health system leaders need to manage enrollment and retention for Post-9/11 veterans.

Todd Brown, Angela Fagerlin, Matthew H Samore, Alex H S Harris, Patrick Galyean, Susan Zickmund, Warren B P Pettey, Megan E Vanneman

Abstract read
In one paragraph

Article in Health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Todd BrownVA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS), Salt Lake City, Utah, USA.ORCID 0000-0002-3302-8144
Angela FagerlinVA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS), Salt Lake City, Utah, USA.
Matthew H SamoreVA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS), Salt Lake City, Utah, USA.
Alex H S HarrisVA Palo Alto Health Care System, Center for Innovation to Implementation (Ci2i), Menlo Park, California, USA.ORCID 0000-0001-7267-3077
Patrick GalyeanVA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS), Salt Lake City, Utah, USA.
Susan ZickmundVA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS), Salt Lake City, Utah, USA.
Warren B P PetteyVA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS), Salt Lake City, Utah, USA.
Megan E VannemanVA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS), Salt Lake City, Utah, USA.ORCID 0000-0003-3013-1362

Funding

CTSA UM1 Program at University of UtahUM1TR004409 · NCATS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI RACHEL HESS, Jennifer Juhl Majersik · 2023 to 2026
$21.9M
Access to and Choice of VA or Non-VA Health Care by Veterans of Recent ConflictsIK2HX002625 · VA · VA SALT LAKE CITY HEALTHCARE SYSTEM · PI VANNEMAN, MEGAN ENFIELD · 2020 to 2025
–
HSRD VA IK2 HX002625HSRD VA RCS 14-232Informatics, Decision-Enhancement and Analytic Sciences (IDEAS) Center of Innovation CIN 13-414NCATS NIH HHS UM1 TR004409VA Health Services Research and Development (HSR&D) Career Development Award 1IK2HX002625-01A1VA Health Services Research and Development (HSR&D) Career Development Award CDA15-259VA Health Services Research and Development (HSR&D) Career Development Award CIN13-414
6 · The paper itself

Abstract

objectiveTo understand Veterans Health Administration (VA) leaders' information and resource needs for managing post-9/11 Veterans' VA enrollment and retention. DATA SOURCES AND STUDY

settingInterviews conducted from March-May 2022 of VA Medical Center (VAMC) leaders (N = 27) across 15 sites, using stratified sampling based on VAMC characteristics: enrollment rates, number of recently separated Veterans in catchment area, and state Medicaid expansion status. STUDY

designInterview questions were developed using Petersen et al.'s Factors Influencing Choice of Healthcare System framework as a guide. Interviews were transcribed verbatim, and two coders analyzed the interviews using Atlas.ti, a qualitative software program. Coders followed the qualitative coding philosophy developed by Crabtree and Miller, a process of developing codes for salient concepts as they are identified during the analysis process. DATA COLLECTION/EXTRACTION

methodsTwo coders analyzed 22% (N = 6) of the interviews and discussed and adjudicated any discrepancies. One coder independently coded the remainder of the interviews. PRINCIPAL

findingsSeveral key themes were identified regarding facilitators and barriers for VA enrollment including reputation for high-quality VA care, convenience of VA services, awareness of VA services and benefits, and VA mental health services. Nearly every VA leader actively used tools and data to understand enrollment and retention rates and sought to enroll and retain more Veterans. To improve the management of enrollment and retention, VA leaders would like data shared in an easily understandable format and the capability to share data between the VA and community healthcare systems.

conclusionsEnrollment and retention information is important for healthcare leaders to guide their health system decisions. Various tools are currently being used to try to understand the data. However, a multifunctional tool is needed to better aggregate the data to provide VA leadership with key information on Veterans' enrollment and retention.

Indexed as

United States Department of Veterans AffairsVeteransFemaleHumansInterviews as TopicLeadershipMaleQualitative ResearchSeptember 11 Terrorist AttacksUnited Statesenrollmentinformaticspost‐9/11 veteransretentionVA health care

Identifiers

PMID39073213
PMCPMC11366952

What OpenQuestion holds

Textmetadata
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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.