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Characterizing VA Users with the OMOP Common Data Model.

Benjamin Viernes1,2, Kristine E Lynch1,2, Brett South1,2

  • 1VA Informatics and Computing Infrastructure, Department of Veterans Affairs, Salt Lake City, UT, USA.

Studies in Health Technology and Informatics
|August 24, 2019
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Summary
This summary is machine-generated.

Differences in healthcare utilization and disease prevalence exist between male and female veterans. The VA transformed its data warehouse to the Observational Medical Outcomes Partnership Common Data Model, enabling these findings.

Keywords:
Electronic health ecordssystematized nomenclature of medicineveterans

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Area of Science:

  • Health Informatics
  • Clinical Data Warehousing
  • Veterans Health Administration (VA) Research

Background:

  • The VA Informatics and Computing Infrastructure (VAI&CI) initiated a data transformation project in 2015.
  • The Corporate Data Warehouse (CDW) was converted to the Observational Medical Outcomes Partnership (OMOP) Common Data Model.
  • This initiative aimed to support VA research and operations communities with standardized data.

Purpose of the Study:

  • To investigate sex-based differences in healthcare utilization and disease prevalence among veterans.
  • To leverage the OMOP Common Data Model for analyzing large-scale clinical data.
  • To identify variations in visit patterns, diagnosed conditions, and prescribed medications between male and female veterans.

Main Methods:

  • Utilized the VA's Corporate Data Warehouse, transformed into the OMOP Common Data Model.
  • Employed hierarchical relationships within clinical vocabularies for data analysis.
  • Analyzed data from U.S. Department of Veterans Affairs fiscal years 2000-2017.

Main Results:

  • Identified significant differences in the frequency of healthcare visits between male and female veterans.
  • Observed variations in the prevalence of specific diseases across sexes.
  • Found disparities in medication prescribing patterns between male and female veteran populations.

Conclusions:

  • The transformation to the OMOP Common Data Model facilitated the identification of sex-based health disparities in the veteran population.
  • Findings highlight the importance of considering sex as a factor in veteran healthcare research and clinical practice.
  • Further research is warranted to explore the underlying causes of these observed differences.