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Using microcomputers to teach sensitivity analysis to medical students.

K Smyth-Staruch, B Littenberg

    Medical Decision Making : an International Journal of the Society for Medical Decision Making
    |January 1, 1983
    PubMed
    Summary
    This summary is machine-generated.

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    This study introduces a microcomputer program to simplify teaching sensitivity analysis in decision problems. The software reduces computational burden, enhancing student understanding of this crucial analytical method.

    Area of Science:

    • Decision Analysis
    • Medical Education
    • Health Economics

    Background:

    • Teaching sensitivity analysis is often limited by extensive computational requirements.
    • Existing decision models for medical scenarios (e.g., hernia surgery, pharyngitis) demand significant recalculations.

    Purpose of the Study:

    • To develop and evaluate a microcomputer-based program for rapid sensitivity analysis in decision problems.
    • To reduce the computational burden associated with teaching sensitivity analysis.
    • To enhance student comprehension of sensitivity analysis principles and applications.

    Main Methods:

    • Designed an interactive software package for Apple II Plus microcomputers.
    • Implemented two decision models: hernia surgery and pharyngitis.

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  • Enabled users to easily alter model variables and recalculate utilities, with automatic computation of threshold points.
  • Utilized didactic tutorials and independent reading for student instruction.
  • Assigned sensitivity analyses using the computerized models.

    • Main Results:

    • Students successfully completed sensitivity analysis assignments using the software.
    • The program facilitated easy and repeated recalculations of decision model utilities.
    • Interactive nature and automatic threshold computation aided user interaction.
    • Discussions regarding model assumptions were stimulated among students.

    Conclusions:

    • The microcomputer package significantly reduces the computational burden of sensitivity analysis.
    • The software enhances the pedagogical value of sensitivity analysis in decision science education.
    • Interactive and accessible tools improve understanding of complex analytical concepts.