An analysis of factors influencing theoretical graduation examination score of standardized residency training
10.3760/cma.j.cn116021-20221229-01620
- VernacularTitle:住院医师规范化培训结业考核专业理论考试结果的影响因素分析
- Author:
Xinbei WANG
1
;
Ao ZHOU
;
Xiaolei YAN
;
Jingyi ZHANG
;
Qiong ZHU
;
Yan WANG
;
Chun CHENG
Author Information
1. 上海交通大学医学院附属第九人民医院规范化培训办公室，上海 200011
- Keywords:
Standardized residency training;
Pass rate;
Training quality;
Influencing factor;
Prediction model
- From:
Chinese Journal of Medical Education Research
2024;23(6):835-840
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the factors influencing the theoretical score of graduation examination of standardized residency training in a class-A tertiary general hospital in Shanghai from 2018 to 2021, and establish prediction models, and to provide a reference for further improving the quality of residency training.Methods:We collected the data of 556 residents who participated in the residency training graduation examination at the hospital from 2018 to 2021. Binary regression and logistic regression analyses were used to determine the association of residents' basic information, their routine assessment results at the bases, and the base performance assessment score (indicating the bases' training quality) with theoretical graduation examination results; and prediction models for the theoretical graduation examination score were established, using binary regression and logistic regression methods to construct model datasets. SPSS 26.0 was used for statistical analysis.Results:From 2018 to 2021, a total of 556 people participated in the residency training graduation examination at the hospital. The first-time pass rate of the first station theoretical examination station was 97.48% (542/556). Trainees graduating from double first-class schools had the highest first-time pass rate of 98.09% (359/366); doctoral students had the highest first-time pass rate of 98.59% (140/142); and residents of the two-year training program had the highest first-time pass rate of 98.34% (297/302). According to the binary regression analysis of categorical variables such as residents' basic information, the base level was associated with whether residents passed the theoretical examination ( P<0.05). According to the logistic regression analysis of residents' routine assessment scores and the base performance assessment score, the annual theoretical assessment score, the first-time theoretical score of the national medical licensing examination, the annual professional performance test score, and the base performance assessment score were key factors affecting the theoretical graduation examination score ( P<0.05). In the regression analysis associated with the theoretical graduation examination score, the annual professional performance test score showed the highest regression coefficient and the highest variance inflation factor, indicating strong multicollinearity. Therefore, the annual professional performance test score was important in predicting the theoretical score of the graduation examination. Conclusions:This study used binary regression and logistic regression models to analyze the possible factors affecting the theoretical graduation examination score and the degree of association, and also established two prediction models of the theoretical graduation examination score to predict trainees at risk. Through implementing the concept of hierarchical progression, adding personalized tutoring, realizing information management for residency training, and providing intelligent early intervention, the pass rate of residency training graduation examination is expected to be further improved, ultimately achieving the purpose of improving the quality of residency training.
