Evidence map›Paper›PMID 41379266›Full record

ArticleHealth & justice2025

Perceptions of behavioral health care quality for justice-involved veterans: a multi-jurisdictional analysis of Veterans Treatment Court team insights.

Kimberly Kras, Patti Butterfield, James Byrne, Sabrina Rapisarda, Don Hummer, Kelly Socia

Abstract read
In one paragraph

Article in Health & justice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Kimberly KrasSan Diego State University, San Diego, United States. kkras@sdsu.edu.
Patti ButterfieldSouthern New Hampshire University, Manchester, United States.
James ByrneUniversity of Massachusetts Lowell, Lowell, United States.
Sabrina RapisardaUniversity of Massachusetts Lowell, Lowell, United States.
Don HummerPennsylvania State University, State College, United States.
Kelly SociaUniversity of Massachusetts Lowell, Lowell, United States.

Funding

Technical Assistance CoreU2CDA050097 · NIDA · GEORGE MASON UNIVERSITY · PI Todd David Molfenter, Jessica Hulsey Nickel · 2019 to 2026
$37.0M
NIDA NIH HHS U2C DA050097NIH HHS U2CDA050097
6 · The paper itself

Abstract

backgroundA key function of Veterans Treatment Courts (VTCs) is the facilitation of behavioral health care for criminal justice-involved veterans, and this care may occur in Veterans Health Administration (VHA) facilities and/or in the community. This study explores the perceived quality of care in these two settings based on interviews with 145 VTC team members from 20 court jurisdictions across the United States (US).

resultsTeam members’ observations were classified into six quality of care themes: qualified mental health professionals, timely access to services, empirically supported interventions, veteran-centered care, effective service delivery methods, and coordinated treatment. Within each theme, team members identified a series of issues and concerns. In some instances, concerns were noted across treatment settings and in other instances concerns were specific to VHA or community-based care.

conclusionsSeveral issues raised by VTC team members mirrored broader concerns within the US mental health system, but other issues were specific to criminal justice-involved veterans. VTC team members’ observations related to each theme were compared with existing research, revealing empirical support for the majority of identified concerns while also highlighting potential misconceptions about quality of care.

Indexed as

HealthcareVeteransVeterans treatment court

Identifiers

PMID41379266
PMCPMC12801579

What OpenQuestion holds

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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.