基于置信区间的改进算法对住院医师规范化培训考核成绩排名方法的探讨  

Discussion on the ranking method for standardized residency trainingassessment based on an improved algorithm of confidence intervals

作　　者：龚彬 王筝扬[1] Gong Bin;Wang Zhengyang(The Office of Medical Education,Sir Run Run Shaw Hospital,School of Medicine,Zhejiang University,Hangzhou 310016,Zhejiang,China)

机构地区：[1]浙江大学医学院附属邵逸夫医院教育办公室,浙江杭州310016

出　　处：《中国毕业后医学教育》2024年第10期797-800,共4页Chinese Journal of Graduate Medical Education

基　　金：2022年度浙江大学医学院教育改革项目(jgzd20221007)。

摘　　要：目的该研究旨在解决现有基于住院医师规范化培训实考合格率绝对值的排名算法忽略统计不确定性的问题。方法为了提高评估的准确性和可靠性,采用置信区间改进的排名法。结果样例数据的分析显示,该改进算法综合考虑了实考合格率的绝对值以及各基地的规模问题,有效地解决了原排名方法由于统计不确定性导致的评估偏差问题。结论改进算法在评估实考合格率可信程度、识别潜在优秀基地、减少小样本量对于成绩的误判方面具有显著优势,可为决策者提供参考。Objective To solve the issue that existing ranking algorithms based on the absolute value of the standardized residency training examination pass rate overlooked the statistical uncertainty.Methods To enhance the accuracy and reliability of the assessment,a ranking method improved with confidence intervals was employed.Results Analysis of sample data demonstrated that the improved algorithm,which took into account of both the absolute value of the examination pass rate and the size of each training base,effectively resolved the assessment bias caused by statistical uncertainty in the original ranking.Conclusion The improved algorithm has significant advantages in evaluating the credibility of the examination pass rates,identifying potential outstanding training bases,and reducing misjudgment of assessment due to small sample sizes.It provides a valuable reference for decision-makers.

关 键 词：排名 小样本 不确定性 置信区间 住院医师规范化培训 

分 类 号：G420[文化科学—课程与教学论] R4[文化科学—教育学]