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Related Experiment Videos

Development of a computer algorithm for defining an active drug list using an automated pharmacy database.

Brian C Lund1, Elizabeth A Chrischilles, Barry L Carter

  • 1Laureate Psychiatric Research Center, Laureate Psychiatric Clinics and Hospital, 6655 South Yale Avenue, Tulsa, OK 74136, USA. bclund@saintfrancis.com

Journal of Clinical Epidemiology
|September 5, 2003
PubMed
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A new computer algorithm accurately identifies active drug lists from electronic pharmacy data. This method validates drug exposure at a specific time, aiding therapy appropriateness evaluations.

Area of Science:

  • Health Informatics
  • Pharmacoeconomics
  • Clinical Pharmacy

Background:

  • Pharmacy databases are increasingly utilized for drug therapy appropriateness evaluations.
  • Accurate characterization of drug regimens at a specific time is crucial for these evaluations.
  • Developing automated methods for processing pharmacy data is essential.

Purpose of the Study:

  • To develop and validate a computer algorithm for generating a cross-sectional active drug list.
  • To assess the algorithm's performance against manual pharmacist review.
  • To evaluate the utility of electronic pharmacy data for drug regimen analysis.

Main Methods:

  • Utilized electronic pharmacy data from the Iowa Medicaid Pharmaceutical Case Management Program.
  • Developed a computer algorithm to define active drug lists.

Related Experiment Videos

  • Compared algorithm-generated lists with those from independent pharmacist reviews.

    • Main Results:

    • Excellent interrater reliability (kappa=0.94) was observed between pharmacist reviewers.
    • The computer algorithm demonstrated high accuracy with 93.8% sensitivity and 91.7% specificity.
    • The algorithm effectively processed electronic pharmacy data for drug exposure characterization.

    Conclusions:

    • The computer algorithm is a valid tool for processing electronic pharmacy data.
    • This approach enables accurate characterization of drug exposure at a point in time.
    • Discusses the potential benefits and limitations of using this automated method in pharmacy practice.