Evidence map›Paper›PMID 42787128›Full record

ArticleJournal of technology in behavioral science2026

Group-Based Suicide Safety Planning for Veterans with High Suicide Risk Via In-Person and Telehealth Delivery.

Sofie Glatt, Gregory K Brown, Shari Jager-Hyman, Michael E Thase, Maureen Monahan, Sheila O'Brien, Alison Krauss, Hanga C Galfalvy, Sarah R Sullivan, Emilia Fonseca and 1 more

Abstract read
In one paragraph

Article in Journal of technology in behavioral science, 2026. 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

11 authors.

Sofie GlattVISN 2 Mental Illness Research, Education, and Clinical Center (MIRECC), James J. Peters Veterans Affairs Medical Center, Bronx, NY USA.ORCID 0009-0002-1757-6463
Gregory K BrownDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA USA.ORCID 0000-0002-1637-0335
Shari Jager-HymanDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA USA.ORCID 0000-0002-5743-2707
Michael E ThaseDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA USA.
Maureen MonahanDepartment of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY USA.ORCID 0000-0003-1683-8599
Sheila O'BrienVISN 17 Center of Excellence for Research on Returning War Veterans, Central Texas Veterans Health Care System, Waco, TX USA.ORCID 0000-0002-8156-1488
Alison KraussVISN 17 Center of Excellence for Research on Returning War Veterans, Central Texas Veterans Health Care System, Waco, TX USA.ORCID 0000-0003-3253-1570
Hanga C GalfalvyDepartment of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY USA.ORCID 0000-0001-7156-6106
Sarah R SullivanDepartment of Psychology, Hunter College and the Graduate Center, City University of New York, New York, NY USA.ORCID 0000-0003-4754-4972
Emilia FonsecaVISN 2 Mental Illness Research, Education, and Clinical Center (MIRECC), James J. Peters Veterans Affairs Medical Center, Bronx, NY USA.ORCID 0009-0001-7387-2331
Marianne GoodmanVISN 2 Mental Illness Research, Education, and Clinical Center (MIRECC), James J. Peters Veterans Affairs Medical Center, Bronx, NY USA.ORCID https://orcid.org/0000-0002-5465-9527

Funding

CSRD VA I01 CX001705
6 · The paper itself

Abstract

Objective: Suicide-specific group psychotherapy is a novel approach to suicide prevention with promising supporting data. However, limited research examines telehealth delivery for suicide-specific interventions. This study described treatment engagement and suicide-related coping (SRC) trajectories among Veterans receiving a group suicide safety planning intervention before and after a transition from in-person to telehealth delivery. Methods: Project Life Force (PLF) is a group suicide safety planning intervention evaluated within a randomized clinical trial. During the COVID-19 pandemic, PLF transitioned from in-person to telehealth, creating naturalistic pre-pandemic in-person and pandemic-era telehealth cohorts. This report focused on participants randomized to PLF and described treatment initiation, engagement, completion, and SRC trajectories across cohorts. Findings: : Baseline suicidal ideation and SRC were higher in the pre-pandemic in-person cohort than the pandemic-era telehealth cohort. The telehealth cohort showed higher rates of treatment initiation descriptively than the in-person cohort, while treatment engagement and completion among treatment initiators were more similar across delivery periods. Both cohorts showed improvement in SRC that was sustained over time. Conclusions: Elevated treatment initiation occurred with virtual delivery of PLF. Both pre-pandemic in-person and pandemic-era telehealth cohorts showed similar patterns of group engagement as well as development and sustainment of SRC over time. As telehealth can reduce barriers to care, these data lend support to the promise of virtual, group-based, suicide-related interventions. Since treatment modality was determined by the pandemic and not randomized, delivery context, cohort characteristics, and pandemic-related factors may have impacted observed patterns. Randomized studies comparing delivery modalities should clarify potential treatment modality differences. Supplementary Information: The online version contains supplementary material available at https://doi.org/10.1007/s41347-026-00719-y.

Indexed as

Group TreatmentSuicideSuicide-CopingTelehealthVeteran

Identifiers

PMID42787128
PMCPMC13601121

What OpenQuestion holds

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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.