Evidence map›Paper›PMID 41770827›Full record

ArticlePloS one2026

Pathways into homelessness and perspectives on prevention: A qualitative study of army veterans.

Katherine A Koh, Jenny D'Olympia, Dina Hooshyar, Ana-Maria Vranceanu, Sara Garde, Zachary Ginsburg, Kelly Ré, Michaela Spaulding, James A Naifeh, Matthew K Nock and 3 more

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.

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0citing papers in PubMed
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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

13 authors.

Katherine A KohDepartment of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0002-5076-3642
Jenny D'OlympiaWilliam James College, Newton, Massachusetts, United States of America.ORCID https://orcid.org/0009-0002-7736-6281
Dina HooshyarUnited States Department of Veterans Affairs National Center on Homelessness among Veterans, Washington, District of Columbia, United States of America.
Ana-Maria VranceanuCenter for Health Outcomes and Interdisciplinary Research, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
Sara GardeWilliam James College, Newton, Massachusetts, United States of America.
Zachary GinsburgWilliam James College, Newton, Massachusetts, United States of America.ORCID https://orcid.org/0009-0009-6762-6538
Kelly RéWilliam James College, Newton, Massachusetts, United States of America.ORCID https://orcid.org/0009-0009-6291-7643
Michaela SpauldingWilliam James College, Newton, Massachusetts, United States of America.
James A NaifehCenter for the Study of Traumatic Stress, Department of Psychiatry, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America.ORCID https://orcid.org/0000-0001-7248-3054
Matthew K NockDepartment of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
James WagnerSurvey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan, United States of America.
Robert J UrsanoCenter for the Study of Traumatic Stress, Department of Psychiatry, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America.ORCID https://orcid.org/0000-0002-1861-9173
Jack TsaiUnited States Department of Veterans Affairs, National Center on Homelessness among Veterans, Washington, District of Columbia, United States of America.ORCID https://orcid.org/0000-0002-0329-648X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite a national focus on ending veteran homelessness, many veterans remain homeless in the United States. Little qualitative research has explored in national samples the pathways that lead to homelessness among veterans or veteran perspectives on homelessness prevention.

methodsWe conducted individual semi-structured interviews with 55 US Army veterans from the national Army Study to Assess Risk and Resilience in Servicemembers-Longitudinal Study (STARRS-LS) who reported having an episode of homelessness after separating from the Army. Interviews included questions about their pathways into homelessness and what could have prevented their homelessness. Interview transcripts were analyzed for themes using a hybrid deductive-inductive approach.

resultsWe identified three main themes as pathways into homelessness: (1) financial challenges while reintegrating into civilian life, including the subthemes of difficulty finding adequate employment and lengthy processing of VA disability benefits; (2) planning challenges around the transition, including the subthemes of lack of awareness of existing resources and personal challenges with planning; and (3) interpersonal disruptions upon reintegration, including the subthemes of loss of a primary relationship and intersections between social disruptions and having a mental illness. Notably, many participants identified connections between multiple themes as leading to homelessness after service. Veterans expressed that enrolling veterans in services prior to separation, decreasing barriers to receiving VA disability benefits, and enhancing access to mental health care would have helped prevent their homelessness.

conclusionThe multiple challenges veterans identified as leading to homelessness most often began during the immediate transition period from the US Army to civilian life and are modifiable. These findings can be used to develop or enhance systems to improve prevention of homelessness among veterans.

Indexed as

Ill-Housed PersonsVeteransAdultHumansLongitudinal StudiesQualitative ResearchUnited States

Identifiers

PMID41770827
PMCPMC12952654

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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.