Evidence map›Paper›PMID 42533906›Full record

ArticleJournal of military, veteran and family health2025

Post-deployment screening in the Canadian military: Translating evaluation research into program recommendations.

David Boulos, Kerry A Sudom, Bryan Garber

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

3 authors.

David BoulosDirectorate of Mental Health, Canadian Forces Health Services Group, Ottawa, Ontario, Canada.ORCID 0000-0001-7585-0681
Kerry A SudomDirector General Military Personnel Research and Analysis, Department of National Defence, Ottawa, Ontario, Canada.
Bryan GarberDirectorate of Mental Health, Canadian Forces Health Services Group, Ottawa, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Canadian Armed Forces' (CAF's) post-deployment screening has remained largely unchanged since its 2002 introduction. This screening is required for CAF service members returning from international deployments of more than 60 days. It consists of a questionnaire that assesses self-reported issues and is subsequently reviewed by a mental health professional interviewer. The interviewer then assesses the level of concern for the member and, if warranted, recommends follow-up care. The fundamental goal of the screening is to shorten the delay to care among those with potential mental health problems. Research to evaluate the screening program's effectiveness has been limited. This article consolidates key findings and implications from a recent evaluation project to inform those who manage and deliver the CAF post-deployment screening program of areas in which modifications would be beneficial. Collectively, the evaluation studies identified benefits to screening and found that it was mostly performing as expected. However, some unexpected findings highlight a need for improved communication on screening roles, responsibilities, and benefits, implementation of screening completion monitoring, augmented training for screening interviewers, and implementation of care provision monitoring when follow-up care is recommended. This screening program is currently undergoing modernization, and the evaluation studies can provide some guidance.

Indexed as

deploymentmental healthpost-deployment screeningprogram evaluation

Identifiers

PMID42533906
PMCPMC13293014

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.