Evidence map›Paper›PMID 39468540›Full record

ArticleBMC medical ethics2024

Differing needs for Advance Care Planning in the Veterans Health Administration: use of latent class analysis to identify subgroups to enhance Advance Care Planning via Group Visits for veterans.

Monica M Matthieu, Songthip T Ounpraseuth, J Silas Williams, Bo Hu, David A Adkins, Ciara M Oliver, Laura D Taylor, Jane Ann McCullough, Mary J Mallory, Ian D Smith and 2 more

Abstract read
In one paragraph

Article in BMC medical ethics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Monica M MatthieuU.S. Department of Veterans Affairs Medical Center, Central Arkansas Veterans Healthcare System, HSR&D Center of Innovation: Center for Mental Healthcare & Outcomes Research, 2200 Fort Roots Dr. North Little Rock, Arkansas, 72114, USA. Monica.Matthieu@va.gov.
Songthip T OunpraseuthFay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
J Silas WilliamsU.S. Department of Veterans Affairs Medical Center, Central Arkansas Veterans Healthcare System, HSR&D Center of Innovation: Center for Mental Healthcare & Outcomes Research, 2200 Fort Roots Dr. North Little Rock, Arkansas, 72114, USA.
Bo HuU.S. Department of Veterans Affairs Medical Center, Central Arkansas Veterans Healthcare System, HSR&D Center of Innovation: Center for Mental Healthcare & Outcomes Research, 2200 Fort Roots Dr. North Little Rock, Arkansas, 72114, USA.
David A AdkinsU.S. Department of Veterans Affairs Medical Center, Central Arkansas Veterans Healthcare System, HSR&D Center of Innovation: Center for Mental Healthcare & Outcomes Research, 2200 Fort Roots Dr. North Little Rock, Arkansas, 72114, USA.
Ciara M OliverU.S. Department of Veterans Affairs Medical Center, Central Arkansas Veterans Healthcare System, HSR&D Center of Innovation: Center for Mental Healthcare & Outcomes Research, 2200 Fort Roots Dr. North Little Rock, Arkansas, 72114, USA.
Laura D TaylorU.S. Department of Veterans Affairs Medical Center, Central Arkansas Veterans Healthcare System , Geriatric Research, Education and Clinical Center, Little Rock, Arkansas, USA.
Jane Ann McCulloughU.S. Department of Veterans Affairs Medical Center, Central Arkansas Veterans Healthcare System , Geriatric Research, Education and Clinical Center, Little Rock, Arkansas, USA.
Mary J MalloryU.S. Department of Veterans Affairs Medical Center, Central Arkansas Veterans Healthcare System , Geriatric Research, Education and Clinical Center, Little Rock, Arkansas, USA.
Ian D SmithU.S. Department of Veterans Affairs Medical Center, Central Arkansas Veterans Healthcare System, HSR&D Center of Innovation: Center for Mental Healthcare & Outcomes Research, 2200 Fort Roots Dr. North Little Rock, Arkansas, 72114, USA.
Jack H SuarezU.S. Department of Veterans Affairs Medical Center, Central Arkansas Veterans Healthcare System, HSR&D Center of Innovation: Center for Mental Healthcare & Outcomes Research, 2200 Fort Roots Dr. North Little Rock, Arkansas, 72114, USA.
Kimberly K GarnerU.S. Department of Veterans Affairs Medical Center, Central Arkansas Veterans Healthcare System , Geriatric Research, Education and Clinical Center, Little Rock, Arkansas, USA.

Funding

Quality Enhancement Research Initiative PEC 18-206
6 · The paper itself

Abstract

backgroundAdvance Care Planning via Group Visits (ACP-GV) is a patient-centered intervention facilitated by a clinician using a group modality to promote healthcare decision-making among veterans. Participants in the group document a "Next Step" to use in planning for their future care needs. The next step may include documentation of preferences in an advance directive, discussing plans with family, or anything else to fulfill their ACP needs. This evaluation seeks to determine whether there are identifiable subgroups of group participants with differing needs prior to delivery of the ACP-GV program and, if so, to use information about the subgroups to enhance the program offered to veterans in United States Department of Veterans Affairs (VA) healthcare settings.

methodsWe conducted a secondary analysis of national data from a quality improvement evaluation. Patient- and provider-level data from administrative healthcare records for VA users in all 50 states, territories, and the District of Columbia provides data on veterans attending ACP-GV during federal fiscal years 2018-2022 (N = 26,857). Latent class analysis seeks to identify the various subgroups of veterans based on their level of ACP self-efficacy before attending ACP-GV and any demographic differences across the resulting subgroups of veterans attending ACP-GV. ACP self-efficacy is derived from seven items obtained from a participant worksheet used during the group.

resultsAnalysis revealed two distinct groups of veterans, distinguishable by their pre-ACP-GV levels of one aspect of ACP self-efficacy: prior knowledge of ACP. Veterans with higher prior knowledge of ACP are associated with an identified next step focused on checking their current AD status and updating it, and veterans with lower ACP prior knowledge are associated with identifying a next step to discuss ACP more fully with family. Differences in age, sex, race, ethnicity, and marital status exist across subgroups of veterans.

conclusionGreater attention must be paid to ACP and veterans' prior knowledge of ACP to consistently encourage annual review and status updates.

Indexed as

Advance Care PlanningUnited States Department of Veterans AffairsVeteransAdultAgedDecision MakingFemaleHumansMaleMiddle AgedPatient-Centered CareQuality ImprovementUnited StatesVeterans HealthAdvance care planningAdvance directivesLatent class analysisVeteransVeterans Health Administration

Identifiers

PMID39468540
PMCPMC11514638

What OpenQuestion holds

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LicenceCC BY
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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.