Evidence map›Paper›PMID 35725125›Full record

ArticleAmerican journal of preventive medicine2022

Predicting Homelessness Among U.S. Army Soldiers No Longer on Active Duty.

Katherine A Koh, Ann Elizabeth Montgomery, Robert W O'Brien, Chris J Kennedy, Alex Luedtke, Nancy A Sampson, Sarah M Gildea, Irving Hwang, Andrew J King, Aldis H Petriceks and 4 more

Open access · greenAbstract read
In one paragraph

Article in American journal of preventive medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.3field-weighted citation impact, top 8% of its field
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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. Mitigating Suicide Risk During the Military-to-Civilian Transition: The VA Veteran Sponsorship Initiative.International journal of environmental research and public health · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Predicting Homelessness Among Transitioning U.S. Army Soldiers.American journal of preventive medicine · 2024
    Article
  8. Article
  9. Article
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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

14 authors at 6 institutions in 1 country.

Katherine A KohDepartment of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Boston Health Care for the Homeless Program, Boston, Massachusetts. Electronic address: kkoh@partners.org.
Ann Elizabeth MontgomeryDepartment of Health Behavior, School of Public Health, The University of Alabama at Birmingham, Birmingham, Alabama; VA Health Care System, Birmingham, U.S. Department of Veteran Affairs, Birmingham, Alabama.
Robert W O'BrienVA Health Services Research and Development Service, Washington, District of Columbia.
Chris J KennedyDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
Alex LuedtkeDepartment of Statistics, University of Washington, Seattle, Washington; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Nancy A SampsonDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Sarah M GildeaDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Irving HwangDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Andrew J KingDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Aldis H PetriceksHarvard Medical School, Boston, Massachusetts.
Maria V PetukhovaDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Murray B SteinDepartment of Psychiatry, University of California San Diego, San Diego, California; Department of Family Medicine & Public Health, University of California San Diego, San Diego, California.
Robert J UrsanoDepartment of Psychiatry, Center for the Study of Traumatic Stress, Uniformed Services University of the Health Sciences, Bethesda, Maryland.
Ronald C KesslerDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Harvard University · USHealth Services Research & Development · USInfectious Disease Research Institute · USUniformed Services University of the Health Sciences · USUniversity of Alabama at Birmingham · USUniversity of San Diego · US

Funding

Modifiable Risk and Protective Factors for Suicidal Behaviors in the US ArmyU01MH087981 · NIMH · HENRY M. JACKSON FDN FOR THE ADV MIL/MED · PI STEIN, MURRAY B., URSANO, ROBERT J. · 2009 to 2013
$65.0M
NIMH NIH HHS U01 MH087981
6 · The paper itself

Abstract

introductionThe ability to predict and prevent homelessness has been an elusive goal. The purpose of this study was to develop a prediction model that identified U.S. Army soldiers at high risk of becoming homeless after transitioning to civilian life based on information available before the time of this transition.

methodsThe prospective cohort study consisted of observations from 16,589 soldiers who were separated or deactivated from service and who had previously participated in 1 of 3 baseline surveys of the Army Study to Assess Risk and Resilience in Servicemembers in 2011-2014. A machine learning model was developed in a 70% training sample and evaluated in the remaining 30% test sample to predict self-reported homelessness in 1 of 2 Longitudinal Study surveys administered in 2016-2018 and 2018-2019. Predictors included survey, administrative, and geospatial variables available before separation/deactivation. Analysis was conducted in November 2020-May 2021.

resultsThe 12-month prevalence of homelessness was 2.9% (SE=0.2%) in the total Longitudinal Study sample. The area under the receiver operating characteristic curve in the test sample was 0.78 (SE=0.02) for homelessness. The 4 highest ventiles (top 20%) of predicted risk included 61% of respondents with homelessness. Self-reported lifetime histories of depression, trauma of having a loved one murdered, and post-traumatic stress disorder were the 3 strongest predictors of homelessness.

conclusionsA prediction model for homelessness can accurately target soldiers for preventive intervention before transition to civilian life.

Indexed as

Ill-Housed PersonsMilitary PersonnelHumansLongitudinal StudiesProspective StudiesRisk AssessmentUnited States

Identifiers

PMID35725125
PMCPMC9219110
OpenAlexW4224074317

What OpenQuestion holds

Textmetadata
LicenceTDM
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.