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Using administrative databases for outcomes research: select examples from VA Health Services Research and

D C Cowper1, D M Hynes, J D Kubal

  • 1VA Information Resource Center (VIReC), HSR&D Field Unit, Edward Hines Jr. VA Hospital, Hines, Illinois, USA.

Journal of Medical Systems
|November 11, 1999
PubMed
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The U.S. Department of Veterans Affairs (VA) uses large databases like the Patient Treatment File (PTF) and Beneficiary Identification and Records Locator System (BIRLS) Death File. These resources support research into patient-centered health care outcomes for veterans.

Area of Science:

  • Health Services Research
  • Health Informatics
  • Veterans Health Administration

Background:

  • The U.S. Department of Veterans Affairs (VA) manages a vast, integrated healthcare system.
  • Efficiently coordinating veteran health data is crucial for effective healthcare delivery.
  • Utilizing existing VA data resources is key for advancing health services research.

Purpose of the Study:

  • To provide an overview of Health Services Research and Development Service initiatives.
  • To guide researchers in leveraging VA administrative and clinical databases.
  • To facilitate studies on patient-centered health care outcomes within the VA system.

Main Methods:

  • Overview of VA Health Services Research and Development Service programs.
  • Description of data access and utilization strategies for VA databases.

Related Experiment Videos

  • Case examples of research employing specific VA datasets.
  • Main Results:

    • Researchers can utilize extensive VA databases for health services research.
    • The Patient Treatment File (PTF) and BIRLS Death File are valuable data sources.
    • Initiatives facilitate the study of patient-centered outcomes using extant data.

    Conclusions:

    • VA databases offer significant opportunities for health services research.
    • Effective use of data resources supports evidence-based improvements in veteran care.
    • Continued research using these datasets is vital for optimizing patient-centered outcomes.