Evidence map›Paper›PMID 42709733›Full record

ArticlePloS one2026

Assessing methods to identify Veterans Health Administration populations with Veterans Justice Programs contact to improve health research.

Andrea K Finlay, Ingrid Binswanger, Alex H S Harris, Matthew Stimmel, Mengfei Yu, Kreeti Singh, Jack Tsai

Abstract read
In one paragraph

Article in PloS one, 2026. 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

7 authors.

Andrea K FinlayCenter for Innovation to Implementation, VA Palo Alto Health Care System, Palo Alto, California, United States of America.ORCID https://orcid.org/0000-0003-1284-7092
Ingrid BinswangerInstitute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado, United States of America.ORCID https://orcid.org/0000-0001-8862-8078
Alex H S HarrisCenter for Innovation to Implementation, VA Palo Alto Health Care System, Palo Alto, California, United States of America.
Matthew StimmelVeterans Justice Programs, Department of Veterans Affairs, Washington, District of Columbia, United States of America.
Mengfei YuCenter for Innovation to Implementation, VA Palo Alto Health Care System, Palo Alto, California, United States of America.
Kreeti SinghCenter for Innovation to Implementation, VA Palo Alto Health Care System, Palo Alto, California, United States of America.ORCID https://orcid.org/0009-0005-5358-7938
Jack TsaiVA National Center on Homelessness Among Veterans, Veterans Health Administration, Washington, District of Columbia, United States of America.

Funding

HSRD VA RCS 14-232
6 · The paper itself

Abstract

Military veterans with criminal legal involvement have a need for healthcare and housing to attenuate their risks of suicide, overdose, and homelessness. Links between criminal legal involvement and Veterans Health Administration (VHA) care are poorly understood, partly because it is challenging to correctly identify veterans with criminal legal involvement. This study's primary objective was to assess VHA data sources and codes from the electronic health record that indicate contact with Veterans Justice Programs (VJP) staff - a broad proxy for criminal legal involvement. We examined three data sources used in previous research to identify veterans who had contact with VJP staff: (1) presence of VJP clinic stop codes in the outpatient encounter records, (2) Homeless Outreach Management and Evaluation System (HOMES) VJP form records collected during VJP outreach, and (3) chart note titles that included VJP terms. In Fiscal Year 2024, there were 52,672 unique VHA-eligible veterans with VJP contact as determined by at least one indicator: 80% with clinic stop codes, 22% with HOMES records, and 63% with chart note titles (Fleiss' κ = 0.22, p < .001). Patient characteristics varied in their association with each data source, suggesting substantial proportions of veterans with specific characteristics who received VJP services would be missing when only one or two data sources were used. Depending on the data source, diagnosis of a clinical condition varied by 9% and there was a 6% difference observed in a performance measure. These results suggest that the use of all three data sources to identify veterans with VJP contact is the most comprehensive strategy among those examined. Results are most applicable to VHA, the largest healthcare system to serve a criminal legal involved population, and provide information that other healthcare systems may need various data sources and indicators to identify patients with criminal legal involvement.

Indexed as

United States Department of Veterans AffairsVeteransVeterans HealthElectronic Health RecordsFemaleHumansIll-Housed PersonsMaleUnited States

Identifiers

PMID42709733
PMCPMC13552712

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