Evidence map›Paper›PMID 42534108›Full record

ArticleJournal of military, veteran and family health2025

Military veterans wellness program: Performance measurement framework.

Allyson Lindsay Dale, Aaron Dale, Jeremy Burns, Geneviève Dale, Peter Collins, Janet Ellis

Abstract read
In one paragraph

Article in Journal of military, veteran and family health, 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.

Allyson Lindsay DaleDirector General Military Personnel Research and Analysis, Department of National Defence, Ottawa, Ontario, Canada.
Aaron DaleToronto Police Service, Toronto, Ontario, Canada.
Jeremy BurnsToronto Police Service, Toronto, Ontario, Canada.
Geneviève DalePHNX PSYCH, Whitby, Ontario, Canada.
Peter CollinsCentre for Addiction and Mental Health, Toronto, Ontario, Canada.
Janet EllisSunnybrook Hospital, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Veterans may struggle with numerous challenges, including the transition to civilian life, physical or mental health issues (e.g., posttraumatic stress disorder), substance abuse, barriers to help-seeking, and difficulties accessing care. They are also at an increased risk of suicidal ideation and living without a home compared with the general population. These challenges have been associated with an increased risk for law enforcement interactions. The Military Veterans Wellness Program is a novel program whose mission is to improve the well-being of Veterans in crisis by providing law enforcement officers with a better understanding of Veterans, de-escalation training, and a streamlined referral process to three national support services. The program is a collaboration among the Toronto Police Service and multiple organizations, experts, and stakeholders in the areas of law enforcement and Veteran well-being. A performance measurement framework was developed for the program that includes a strategic framework, logic model, and key performance indicators for the purposes of internal program management, performance monitoring, external reporting, and the assessment of program effectiveness. Finally, limitations, preliminary results, achievements, and next steps are discussed.

Indexed as

homelessnesslaw enforcement performance measurementmental healthmilitary psychologypolicingpublic safetysuicideVeteransVeterans healthVeteran wellness

Identifiers

PMID42534108
PMCPMC13391182

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.