Does Evidence-Based PTS Treatment Reduce PTS Symptoms and Suicide in Iraq and Afghanistan Veterans Seeking VA Care

Abstract

We identified a cohort of OEF/OIF/OND Veterans who had a diagnosis of PTS after the end oftheir last deployment (N=308,556). This PTS cohort had a mean age of 35.9 years (SD=8.8years), was 89.6 male, and was comprised of those who were 57.5 white, 13.9 black, 11.4 Hispanic, 3.9 other and 13.9 unknown. We identified 5.7 million psychotherapy visits madeby these Veterans in the study period and linked these to approximately 8 millionpsychotherapy notes. We completed a standardized annotation guide specifying each category ofpsychotherapy to be identified and then four study team members annotated a set of 650 notes.We used a bag of words and support vector machine (SVM) approach to generate a classifier for irrelevant notes, which had a classification accuracy of 88 . This allowed us to removeirrelevant documents and generate an enriched pool of 4 million psychotherapy notes to beused for ongoing rounds of annotation. Also during this period, we identified 30,884 (10) Veterans in our PTS cohort with three (or more) PCLs within an 18 week period, and,separately, 101,761 (33 of PTS cohort) members of the PTS cohort with two or more suicide screenings during the post-deployment period.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2016
Accession Number
AD1016372

Entities

People

  • Erin Madden
  • Shira Maguen

Organizations

  • Northern California Institute for Research and Education

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Afghanistan
  • Algorithms
  • Classification
  • Cognition
  • Data Analysis
  • Deployment
  • Education
  • Health
  • Health Care
  • Information Science
  • Language
  • Machine Learning
  • Mental Health
  • Natural Language Processing
  • Natural Languages
  • Psychotherapy
  • Supervised Machine Learning

Fields of Study

  • Medicine
  • Psychology

Readers

  • Library and Information Science
  • Mental Health of Military Veterans with Posttraumatic Stress Disorder (PTSD): Risk Factors, Prevalence, Symptoms, and Treatment.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML