A practical risk calculator for suicidal behavior among transitioning U.S. Army soldiers: results from the Study to Assess Risk and Resilience in Servicemembers-Longitudinal Study (STARRS-LS)
Abstract
Risk of suicide-related behaviors is elevated among military personnel transitioning to civilian life. An earlier report showed that high-risk U.S. Army soldiers could be identified shortly before this transition with a machine learning model that included predictors from administrative systems, self-report surveys, and geospatial data. Based on this result, a Veterans Affairs and Army initiative was launched to evaluate a suicide-prevention intervention for high-risk transitioning soldiers. To make targeting practical, though, a streamlined model and risk calculator were needed that used only a short series of self-report survey questions.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Mar 09, 2023
- Source ID
- 10.1017/s0033291723000491
Entities
People
- Alex Luedtke
- Andrew J King
- Brian P Marx
- Chris J Kennedy
- Emily R Edwards
- Erin P. Finley
- Ian H Stanley
- Irving Hwang
- Jaclyn C. Kearns
- Joseph C. Geraci
- Maria V. Petukhova
- Marianne Goodman
- Murray B. Stein
- Nancy A. Sampson
- Richard W. Seim
- Robert Ursano
- Ronald C Kessler
- Sarah M. Gildea
Organizations
- National Institute of Mental Health
- United States Department of Defense