SAFEGUARD: Transforming Military Suicide Prevention Through Predictive Analytics and Targeted Interventions
Overview
This paper describes SAFEGUARD, a military suicide prevention system utilizing machine learning predictive modeling to deliver targeted interventions at key career touchpoints. The resource outlines three components: Level Up for universal skills training during first assignments, Operation Life Force for remote group therapy with high-risk soldiers, and Pathfinding for case management after psychiatric discharge. It is intended for readers interested in data-driven approaches to suicide-related behavior prevention within military populations.
- ID
44efffacc45a441c- Source org
- PubMed Central
- Author
- Thomas H. Nassif (Uniformed Services University of the Health Sciences), Amy B. Adler (Walter Reed Army Institute of Research), Robert D. Atkinson (Naval Medical Center Portsmouth), Kate H. Bentley (Massachusetts General Hospital), Bonomi Robin (Uniformed Services University of the Health Sciences), Jenny D’Olympia (William James College), Emily R. Edwards (James J. Peters VA Medical Center), Rebecca G. Fortgang (Massachusetts General Hospital), Brandon A. Gaudiano (Providence College), Joseph C. Geraci (James J. Peters VA Medical Center), Marianne Goodman (James J. Peters VA Medical Center), Daniel B. Herman (The Graduate Center, CUNY), Evan M. Kleiman (Rutgers, The State University of New Jersey), Sarah Maggio (Henry M. Jackson Foundation), Allison McDaniel (Henry M. Jackson Foundation), James A. Naifeh (Henry M. Jackson Foundation), Matthew K. Nock (Harvard University), Christopher M. Paine (Henry M. Jackson Foundation), Timothy Regan (Uniformed Services University of the Health Sciences), John Torous (Beth Israel Deaconess Medical Center), Vincent F. Capaldi (Uniformed Services University of the Health Sciences), Ronald C. Kessler (Harvard University)
- Published
- 2026-02-27
- OA status
- hybrid
- DOI
- 10.1007/s11920-026-01664-6
- PMID
- Not recorded
- PMCID
- Not recorded
- Citations
- 0
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- linkok via http-check · 2026-07-21T15:52:31.592259+00:00
Cite this entry
BibTeX
@article{allodium:44efffacc45a441c,
title = {SAFEGUARD: Transforming Military Suicide Prevention Through Predictive Analytics and Targeted Interventions},
author = {Thomas H. Nassif and Amy B. Adler and Robert D. Atkinson and Kate H. Bentley and Bonomi Robin and Jenny D’Olympia and Emily R. Edwards and Rebecca G. Fortgang and Brandon A. Gaudiano and Joseph C. Geraci and Marianne Goodman and Daniel B. Herman and Evan M. Kleiman and Sarah Maggio and Allison McDaniel and James A. Naifeh and Matthew K. Nock and Christopher M. Paine and Timothy Regan and John Torous and Vincent F. Capaldi and Ronald C. Kessler},
year = {2026},
journal = {PubMed Central},
doi = {10.1007/s11920-026-01664-6},
url = {https://doi.org/10.1007/s11920-026-01664-6}
}RIS
TY - JOUR TI - SAFEGUARD: Transforming Military Suicide Prevention Through Predictive Analytics and Targeted Interventions AU - Nassif, Thomas H. AU - Adler, Amy B. AU - Atkinson, Robert D. AU - Bentley, Kate H. AU - Robin, Bonomi AU - D’Olympia, Jenny AU - Edwards, Emily R. AU - Fortgang, Rebecca G. AU - Gaudiano, Brandon A. AU - Geraci, Joseph C. AU - Goodman, Marianne AU - Herman, Daniel B. AU - Kleiman, Evan M. AU - Maggio, Sarah AU - McDaniel, Allison AU - Naifeh, James A. AU - Nock, Matthew K. AU - Paine, Christopher M. AU - Regan, Timothy AU - Torous, John AU - Capaldi, Vincent F. AU - Kessler, Ronald C. PY - 2026 PB - PubMed Central DO - 10.1007/s11920-026-01664-6 UR - https://doi.org/10.1007/s11920-026-01664-6 ER -
APA
Nassif, T. H., Adler, A. B., Atkinson, R. D., Bentley, K. H., Robin, B., D’Olympia, J., Edwards, E. R., Fortgang, R. G., Gaudiano, B. A., Geraci, J. C., Goodman, M., Herman, D. B., Kleiman, E. M., Maggio, S., McDaniel, A., Naifeh, J. A., Nock, M. K., Paine, C. M., Regan, T., Torous, J., Capaldi, V. F., & Kessler, R. C. (2026). SAFEGUARD: Transforming Military Suicide Prevention Through Predictive Analytics and Targeted Interventions. PubMed Central. https://doi.org/10.1007/s11920-026-01664-6
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