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Computer-based patient simulations: hospital pharmacists' performance and opinions.

G E MacKinnon1, M E Pitterle, L E Boh

  • 1Division of Pharmacy Practice, St. Louis College of Pharmacy, MO 63110.

American Journal of Hospital Pharmacy
|November 1, 1992
PubMed
Summary

Pharmacists found interactive patient simulations valuable for enhancing medication problem-solving skills. However, performance data revealed challenges in patient data gathering and variable success in therapy decisions, particularly for antimicrobial cases.

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Area of Science:

  • Pharmacy education
  • Clinical skills assessment
  • Health professions simulation

Background:

  • Pharmacists play a crucial role in medication problem-solving.
  • Traditional methods for evaluating clinical skills may have limitations.
  • Computer-based simulations offer a novel approach to training and assessment.

Purpose of the Study:

  • To evaluate pharmacist performance in a computer-based patient simulation program.
  • To assess pharmacists' attitudes towards using patient simulations for skill enhancement.
  • To identify specific areas of strength and weakness in pharmacists' medication problem-solving abilities.

Main Methods:

  • Utilized the Institutional Patient Medication Simulation program with five distinct clinical scenarios.

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  • Recruited pharmacists from nine hospitals to participate in the simulations.
  • Collected performance data and attitudinal feedback through questionnaires.

    • Main Results:

    • 79% of participating pharmacists completed the simulations and questionnaires.
    • Performance scores for data gathering were below 70%, while case question scores exceeded 80%.
    • Therapy decision scores varied, with lower performance in antimicrobial-related simulations; more experienced pharmacists performed better.

    Conclusions:

    • Pharmacists perceived the patient simulation program as a worthwhile educational tool.
    • The simulations highlighted a need for improvement in pharmacists' patient data-gathering skills.
    • Performance variability in therapy decisions suggests that even with adequate data, optimal decisions are not always achieved.