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How do medical students learn in an online community diagnostics program?

Junji Haruta1, Takayuki Ando2, Seitaro Fujishima2

  • 1Medical Education Center, School of Medicine, Keio University, 35 Shinanomachi, Shinjuku-Ku, Tokyo, 160-8582, Japan. junharujp@keio.jp.

BMC Medical Education
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Summary

This online community diagnosis program fostered medical student learning through four distinct patterns. Students developed a deeper understanding of community health determinants and enhanced their cognitive flexibility.

Keywords:
Community diagnosisCommunity-orientedEvaluationLearning mechanismLearning outcomesRealist approach

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Area of Science:

  • Medical Education
  • Public Health
  • Community Health Assessment

Background:

  • Growing need for medical students to understand social and environmental health determinants in diverse communities.
  • Limited existing community diagnosis programs and evaluations noted.
  • Online platforms offer feasible solutions for widespread program delivery.

Purpose of the Study:

  • To identify learning patterns within an online community diagnosis program using a realist approach (Context-Mechanism-Outcome).
  • To evaluate the effectiveness of an online program in enhancing medical students' understanding of community health.

Main Methods:

  • A 2-week online general medicine clinical practice program for 4th/5th-year medical students in Japan.
  • Program incorporated lectures, feedback, and community diagnosis reports, based on variation theory.
  • Student reflections were thematically analyzed using Context-Mechanism-Outcome (CMO) perspectives.

Main Results:

  • Students discovered community characteristics through peer comparison and self-discovery.
  • Intrinsic interest in the community increased by identifying specific health issues.
  • Community diagnosis was valued through linking local health data to learning.
  • Cognitive flexibility and new, locally relevant knowledge creation were fostered.

Conclusions:

  • The online program facilitated four key learning patterns for medical students.
  • Variation theory and cognitive flexibility theory can guide the development of effective online community health education programs.
  • Medical students can enhance community understanding and engagement through such online initiatives.