Development and Validation of a Theory Based Screening Process for Suicide Risk

Abstract

The ultimate objective of this study is to assist in increasing the capacity of military-based health services to accurately identify persons at risk for suicide and to render effective referral dispositions. To do so we will characterize and evaluate the ability of a proposed suicide screening instrument and associated clinical decision-making algorithm to accurately identify at-risk individuals and provide appropriate treatment recommendations. Furthermore we will evaluate key theoretical questions related to distinguishing who is at most risk for actual suicide. Recruitment and primary data collection was completed on December 31, 2014. Our final recruitment was 1,381 participants, with 687 coming from Joint Base Lewis-McChord and 634 from Ft. Hood. Matching of participant research data to participant medical records was completed in February 2015, with an 87% match for JBLM participants and a 91% match from Ft. Hood participants. Utilizing the medical record data has been severely complicated by the fact that the PDHRA (form 2900) changed format during the study period, thus we do not have the same data fields for all participants. Current efforts center on merging the two forms into meaningful variables prior to final data analyses. Due to various factors that have delayed our progress, the data collection and analyses phase of our study could not be completed by our original contract end date. We have requested and received a second six month no-cost extension to complete the study in 2016.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2015
Accession Number
ADA621813

Entities

People

  • Kari A. Stephens
  • Steven D. Vannoy

Organizations

  • University of Washington

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Biomedical Research
  • Contracts
  • Data Analysis
  • Data Sets
  • Department Of Defense
  • Electronic Mail
  • Health Services
  • Information Operations
  • Law
  • Questionnaires
  • Universities
  • Validation

Readers

  • Clinical Trial Research.
  • Computational Modeling and Simulation
  • Mental Health of Military Veterans with Posttraumatic Stress Disorder (PTSD): Risk Factors, Prevalence, Symptoms, and Treatment.