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Rheumatology algorithms for primary care physicians.

R F Ambrose, L G Kendall, G S Alarcón

    Arthritis Care and Research : the Official Journal of the Arthritis Health Professions Association
    |June 1, 1990
    PubMed
    Summary
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    Algorithm-based training for primary care physicians in rheumatology proved as effective as traditional methods. This educational strategy improved patient management skills, with algorithm-designed texts requiring less study time for comparable knowledge gain.

    Area of Science:

    • Medical Education
    • Rheumatology
    • Continuing Medical Education

    Background:

    • Continuing medical education (CME) is crucial for primary care physicians (PCPs).
    • Evaluating innovative educational strategies is essential for effective knowledge transfer in rheumatology.
    • Assessing patient management skills requires reliable evaluation methods.

    Purpose of the Study:

    • To assess the effectiveness of an algorithm-based educational strategy for PCPs in rheumatology.
    • To compare algorithm training with standard prose monographs for CME.
    • To evaluate taped interview problems tests for assessing patient management skills.

    Main Methods:

    • PCPs received training on three rheumatology topics using either algorithm-based or standard prose monograph methods.

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  • Knowledge acquisition and patient management skills were assessed.
  • Study time and knowledge gained were analyzed for efficiency.
  • Interrater reliability of taped interview problems tests was determined.

    • Main Results:

    • Algorithm training was as effective as standard monographs in improving rheumatology knowledge and patient management skills.
    • Algorithm-designed texts reduced study time compared to annotated clinical algorithms alone, significantly for shoulder pain.
    • The ratio of knowledge gained to study time was significantly higher for the algorithm group in low back pain management.
    • Taped interview problems tests demonstrated high interrater reliability (>0.80) for assessing specific patient management skills.

    Conclusions:

    • Algorithm-based educational strategies are effective for PCP rheumatology CME.
    • Algorithm-designed materials can enhance learning efficiency by reducing study time.
    • Taped interview problems tests offer a reliable method for evaluating clinical skills in rheumatology.