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Developing a Delphi-Consensus Evaluation Framework for Clinical Research Training: A Chinese Model With Global

April Shengjie Zhu1, Jeremy Haoqing Zhu2, Yun Chen1

  • 1Jiahui Medical Research and Education Group, Shanghai, China.

Journal of Medical Education and Curricular Development
|March 3, 2026
PubMed
Summary

This study developed a new evaluation framework for clinical research training in China. The framework prioritizes relevant content, learning, and career impact to improve medical research and patient care.

Keywords:
Delphi methodKirkpatrick modelclinical research trainingevaluation frameworkmedical education in China

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Area of Science:

  • Medical Education
  • Clinical Research
  • Health Professions Education

Background:

  • Current clinical research training evaluations in China often prioritize theory over practical skills and innovation.
  • There is a need for a comprehensive framework to assess the effectiveness of clinical research training programs.

Purpose of the Study:

  • To develop and validate a comprehensive evaluation framework for clinical research training programs in China.
  • To incorporate practical skills, innovation, and long-term impact into training assessments.

Main Methods:

  • A 2-round Delphi consensus method was used with healthcare professionals and educators.
  • The evaluation framework was based on the Kirkpatrick model (Reaction, Learning, Behavior, Results).
  • Indicators were rated on a 5-point Likert scale, with consensus defined by specific statistical criteria.

Main Results:

  • A total of 26 indicators met consensus criteria after two rounds of Delphi method.
  • Key indicators included relevance of training content (mean=4.89), knowledge mastery (mean=4.58), and impact on career development (mean=4.53).
  • Other significant indicators were timeliness of information (mean=4.84) and success in securing research funds (mean=4.05).

Conclusions:

  • A comprehensive evaluation framework for clinical research training in China has been established.
  • The framework emphasizes relevant content, learning outcomes, and professional impact, crucial for advancing medical research.
  • Further validation through empirical studies is recommended to refine the framework.