中华医学教育杂志 ›› 2025, Vol. 45 ›› Issue (6): 444-449.DOI: 10.3760/cma.j.cn115259-20240720-00763

• 住院医师规范化培训 • 上一篇    下一篇

基于PMC指数模型的住院医师规范化培训政策量化评价

吴丹妮1, 夏周燕1, 朱滨海2   

  1. 1南京医科大学医政学院2022级公共管理专业硕士研究生,南京 211166;
    2南京医科大学第一附属医院教育处,南京 210029
  • 收稿日期:2024-07-20 出版日期:2025-06-01 发布日期:2025-06-03
  • 通讯作者: 朱滨海, Email: zhubinh@sina.com
  • 基金资助:
    南京医科大学教育研究课题(2023LX070)

Quantitative evaluation of standardized residency training policy based on the PMC index model

Wu Danni1, Xia Zhouyan1, Zhu Binhai2   

  1. 1Master Degree Candidate, Public Administration Major, Enrolled in 2022, School of Health Policy & Management, Nanjing Medical University, Nanjing 211166, China;
    2Department of Education, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
  • Received:2024-07-20 Online:2025-06-01 Published:2025-06-03
  • Contact: Zhu Binhai, Email: zhubinh@sina.com
  • Supported by:
    Education Research Project of Nanjing Medical University (2023LX070)

摘要: 住院医师规范化培训(简称住培)政策是提升临床医师培养质量的核心制度保障。本研究基于政策一致性指数模型(policy modeling consistency, PMC),构建了包含9个一级变量和41个二级变量的评估框架,对2013至2023年国家层面发布的15项住培政策进行多维度量化分析。通过PMC指数分级标准(优秀:8.00~9.00;良好:6.00~7.99;可接受:4.00~5.99;不良:0~3.99)评估发现,样本政策PMC指数均值为7.17,总体处于良好水平,其中优秀政策3项、良好政策10项、可接受政策2项。X6政策评价(0.99)与X2政策时效(0.89)数值较高,X8政策工具与X7政策支持均值分别为0.67、0.69,存在明显短板,表现为需求型政策工具应用不足、政策支持机制不完善、部门协同缺乏与政策覆盖对象局限等问题。我国住培政策需要重点优化政策工具结构,强化需求型政策工具与市场激励机制;健全专项基金与社会资本引入机制,推动多维社会投入;完善跨部门统筹机制,以系统性提升政策效能,推动住培制度高质量发展。

关键词: 评价研究, 住院医师规范化培训, 政策分析, PMC指数模型

Abstract: The standardized residency training policy is the core institutional guarantee for improving the quality of clinical training. Based on the Policy Modeling Consistency (PMC) model, this study constructed an evaluation framework with 9 primary variables and 41 secondary variables and conducted a multi-dimensional quantitative analysis of 15 residential training policies issued at the national level from 2013 to 2023. Through the evaluation of PMC index grading criteria (excellent: 8.00-9.00; good: 6.00-7.99; acceptable: 4.00-5.99; poor: 0-3.99), it was found that the average comprehensive score of the sample policies was 7.17 points, which was generally at a good level, including 3 excellent policies, 10 good policies, and 2 acceptable policies. The variables X6 (Policy Evaluation, 0.99) and X2 (Policy Timeliness, 0.89) scored highest6, while X8 (Policy Instruments) and X7 (Policy Support) showed notable weaknesses, with mean values of 0.67 and 0.69, respectively. China′s standardized residency training policy needs to focus on optimizing the structure of policy tools and strengthening demand-oriented policy tools and market incentive mechanisms, improving the mechanism for the introduction of special funds and social capital, and promoting multi-dimensional social investment; improving the cross-departmental coordination mechanism to systematically improve the effectiveness of policies and promote the high-quality development of the residential training system.

Key words: Evaluation studies, Standardized residency training, Policy analysis, PMC index model

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