Evidence map›Paper›PMID 41758437›Full record

ReviewCurrent psychiatry reports2026

SAFEGUARD: Transforming Military Suicide Prevention Through Predictive Analytics and Targeted Interventions.

Thomas H Nassif, Amy B Adler, Robert D Atkinson, Kate H Bentley, Robin E Bonomi, Jenny D'Olympia, Emily R Edwards, Rebecca G Fortgang, Brandon A Gaudiano, Joseph C Geraci and 12 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Current psychiatry reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

22 authors.

Thomas H NassifDepartment of Psychiatry, Uniformed Services University, Bethesda, MD, USA. thomas.nassif@usuhs.edu.
Amy B AdlerCenter for Military Psychiatry and Neuroscience, Walter Reed Army Institute of Research, Silver Spring, MD, USA.
Robert D AtkinsonDepartment of Mental Health, Naval Medical Center Portsmouth, Portsmouth, VA, USA.
Kate H BentleyDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Robin E BonomiDepartment of Psychiatry, Uniformed Services University, Bethesda, MD, USA.
Jenny D'OlympiaCounseling and Behavioral Health Department, William James College, Newton, MA, USA.
Emily R EdwardsDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Rebecca G FortgangDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Brandon A GaudianoDepartment of Psychiatry & Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA.
Joseph C GeraciVISN 2 Mental Illness Research, Education, and Clinical Center, Department of Veterans Affairs, Bronx, NY, USA.
Marianne GoodmanDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Daniel HermanHunter College and Graduate Center, City University of New York, New York City, NY, USA.
Evan M KleimanDepartment of Psychology, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.
Sarah MaggioDepartment of Psychiatry, Uniformed Services University, Bethesda, MD, USA.
Allison McDanielHenry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA.
James A NaifehDepartment of Psychiatry, Uniformed Services University, Bethesda, MD, USA.
Matthew K NockDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Christopher PaineHenry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA.
Timothy ReganDepartment of Medical and Clinical Psychology, Uniformed Services University, Bethesda, MD, USA.
John TorousDivision of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Vincent F CapaldiDepartment of Psychiatry, Uniformed Services University, Bethesda, MD, USA.
Ronald C KesslerDepartment of Health Care Policy, Harvard Medical School, Boston, MA, USA.

Funding

Office of the Assistant Secretary of Defense for Health Affairs Federal Award # HU00012520025
6 · The paper itself

Abstract

purpose of reviewMachine learning predictive modeling can support scalable prevention of suicide-related behavior (SRB). SAFEGUARD is a three-pronged universal, indicated, and clinical SRB-prevention intervention system focused on key military career touchpoints. RECENT

findingsThe targeted SAFEGUARD interventions are designed to improve on the mixed results of universal interventions. Level Up uses digital tools, personalized messaging, and remote booster sessions to deliver customized universal military-focused cognitive behavioral therapy skills training designed to reduce SRBs during first duty assignments. Operation Life Force delivers remote group dialectical behavior therapy skills training with a mental toughness focus to soldiers identified during annual physicals as high-risk for SRBs. Pathfinding delivers remote wrap-around case management after psychiatric inpatient discharge to soldiers identified as high-risk for SRBs. SAFEGUARD is a data-driven system for SRB prevention that delivers targeted best-practice interventions at critical points to optimize impact and efficiently use mental health resources across the military.

Indexed as

Cognitive Behavioral TherapyMilitary PersonnelSuicide PreventionData AnalyticsHumansPredictive Learning ModelsActive-duty servicemembersDigital health technologyPrecision medicinePredictive analyticsSuicide preventionTargeted intervention

Identifiers

PMID41758437
PMCPMC12948792

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.