Using structured and unstructured data to refine estimates of military sexual trauma status among Us Military Veterans

Adi V. Gundlapalli, Emily Brignone, Guy Divita, Audrey L. Jones, Andrew Redd, Ying Suo, Warren B.P. Pettey, April Mohanty, Lori Gawron, Rebecca Blais, Matthew H. Samore, Jamison D. Fargo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Sexual trauma survivors are reluctant to disclose such a history due to stigma. This is likely the case when estimating the prevalence of sexual trauma experienced in the military. The Veterans Health Administration has a program by which all former US military service members (Veterans) are screened for military sexual trauma (MST) using a questionnaire. Administrative data on MST screens and a change of status from an initial negative answer to positive and natural language processing (NLP) on electronic medical notes to extract concepts related to MST were used to refine initial estimates of MST among a random sample of 20,000 Veterans. The initial MST positive screen of 15.4% among women was revised upward to 21.8% using administrative data and further to 24.5% by adding NLP results. The overall estimate of MST status in women and men in this sample was revised from 8.1% to 13.1% using both data elements.

Original languageEnglish (US)
Title of host publicationInformatics Empowers Healthcare Transformation
EditorsMowafa S. Househ, John Mantas, Arie Hasman, Parisis Gallos
PublisherIOS Press
Pages128-131
Number of pages4
ISBN (Electronic)9781614997801
DOIs
StatePublished - 2017
Externally publishedYes

Publication series

NameStudies in Health Technology and Informatics
Volume238
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Keywords

  • Disclosure of trauma
  • Military Sexual Trauma
  • Veterans

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Fingerprint

Dive into the research topics of 'Using structured and unstructured data to refine estimates of military sexual trauma status among Us Military Veterans'. Together they form a unique fingerprint.

Cite this