Chinese Journal of Medical Education ›› 2024, Vol. 44 ›› Issue (1): 1-5.DOI: 10.3760/cma.j.cn115259-20230206-00101

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Construction of an indicator system of educational resources for colleges and universities to regulate enrollment scale of undergraduates in clinical medicine

Xu Hang1, Hou Jianlin2, Wang Weimin3   

  1. 1Department of Health Policy and Managemen, School of Public Health, Peking University, Beijing 100191, China;
    2National Center for Health Professions Education Development & Instituet of Medical Education, Peking University, Beijing 100191, China;
    3Peking University Health Science Center, Peking University, Beijing 100191, China
  • Received:2023-02-06 Online:2024-01-01 Published:2023-12-29
  • Contact: Wang Weimin, Email: wwm@bjmu.edu.cn
  • Supported by:
    Key Project of National Social Science Foundation of Education (AIA210011)

Abstract: Objective To establish an educational resource indicator system to regulate the enrollment scale of undergraduates in clinical medicine for colleges and universities. Methods Based on the theoretical indicator pool of educational production, a questionnaire for expert consultation on educational resources in undergraduate clinical medical education was designed. Finally, based on the fuzzy Delphi method and the optimal weighting method, the indicator system was constructed. Results Through two rounds of expert consultation with a total of 20 experts from 9 provinces and cities with rich professional theoretical knowledge or practical experience, an indicator system consisting of 3 first level indicators, 8 second level indicators, and 14 third level indicators were determined. The Cronbach coefficients of the two rounds of expert consultation questionnaires were 0.95 and 0.89, respectively, and the expert authority coefficients were 0.82 and 0.87, respectively. Conclusions The indicator system scientifically and systematically reflects the educational resources that need to be considered in determining the enrollment scale of undergraduates in clinical medicine, clarifies the impact of educational resources from different universities on the enrollment scale, and provides a basis for medical colleges to reasonably determine the enrollment scale based on their own educational resources.

Key words: Clinical medicine, Enrollment scale, Educational resources, Fuzzy Delphi method, Optimal weighting method, Indicator system, Weight

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