Standardized Residency Training

Research on the influencing mechanisms of quality assurance factors in the standardized residency training in Jiangsu Province

  • Xia Zhouyan ,
  • Wu Danni ,
  • Zhu Binhai
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  • 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 211166, China

Received date: 2024-09-02

  Online published: 2025-06-03

Abstract

Objective To explore the influence mechanisms of assurance factors within Jiangsu Province′s Standardized residency training (SRT) on training quality, and to inform future optimization of the management framework of Standardized residency training. Methods A questionnaire-based study was conducted from April to June 2024. Using stratified random cluster sampling, 543 residents from 13 prefecture-level cities in Jiangsu Province were selected to assess the current status of SRT assurance factors and training quality. Factor analysis was conducted to identify critical components of the assurance factors, followed by structural equation modeling (SEM) to analyze their impact pathways on training quality. Bootstrap testing was applied to examine the mediating role of residents′ learning engagement between safeguarding factors and training outcomes. Results Exploratory factor analysis (EFA) revealed three core safeguarding dimensions: structural safeguards, process safeguards, and pedagogical safeguards. SEM demonstrated that structural assurance (β=0.340), process assurance (β=0.155), and teaching assurance (β=0.261) all have significant positive effects on training quality (all P<0.05). Mediation analysis showed: Partial mediation by learning engagement for structural safeguards (indirect effect: 48.3%); Full mediation for process safeguards (indirect effect: 84.7%); No mediation observed for pedagogical safeguards. Conclusions Optimizing residency training requires prioritized structural assurance (such as resource allocation), refined process management (such as salary and benefits), enhanced teaching quality (such as teacher training), and activation of learning engagement mechanisms, offering evidence-based policy pathways for sustainable quality improvement.

Cite this article

Xia Zhouyan , Wu Danni , Zhu Binhai . Research on the influencing mechanisms of quality assurance factors in the standardized residency training in Jiangsu Province[J]. Chinese Journal of Medical Education, 2025 , 45(6) : 456 -460 . DOI: 10.3760/cma.j.cn115259-20240902-00911

References

[1] 中华人民共和国教育部高等教育司. 中国高等医药教育改革与发展[M]. 北京: 人民卫生出版社, 2004:225-227.
[2] 齐学进. 以党的二十大精神为指导,推进住培质量建设再上新台阶[J]. 中国毕业后医学教育, 2023, 7(1):1-5. DOI:10.3969/j.issn.2096-4293.2023.01.001.
[3] 包润发, 董平, 赵恩昊, 等. 上海市外科住院医师规范化培训10年实践与经验[J]. 中国实用外科杂志,2022,42(1):56-62. DOI:10.19538/j.cjps.issn1005-2208.2022.01.10.
[4] 刘婧, 李鸣莉, 曾庆奇, 等. 我国住院医师规范化培训协同培训现状调查[J]. 中华医学教育探索杂志, 2022, 42(1):75-79. DOI:10.3760/cma.j.cn115259-20210222-00227.
[5] 熊章波, 宋秋前. AMOS与结构方程模型[M]. 北京: 高等教育出版社, 2023:61-72
[6] 李熹阳, 宋可玉, 肖煜吟, 等. 我国三级公立医院医务人员满意度现况调查[J]. 中国医院管理, 2022, 42(5):32-36.
[7] 金丽娇, 刘光耀, 邹婷, 等. 基于探索性因子分析的医学硕士研究生导师胜任力指标体系构建[J]. 医学与社会,2020,33(8):103-106,119. DOI:10.13723/j.yxysh.2020.08.021.
[8] Salanova M, Schaufeli W, Martinez I, et al. How obstacles and facilitators predict academic performance: the mediating role of study burnout and engagement[J]. Anxiety Stress Coping, 2010,23(1):53-70. DOI:10.1080/10615800802609965.
[9] 李西营, 黄荣. 大学生学习投入量表(UWES-S)的修订报告[J]. 心理研究,2010,3(1):84-88.
[10] 张涵, 康飞. 基于bootstrap的多重中介效应分析方法[J]. 统计与决策,2016(5):75-78. DOI:10.13546/j.cnki.tjyjc.2016.05.019.
[11] 范阳东, 朱艳玲, 张青, 等. 广州市住院医师规范化培训存在的问题及对策建议[J]. 中国卫生事业管理,2020,37(1):58-61.
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