Chinese Journal of Medical Education ›› 2022, Vol. 42 ›› Issue (12): 1138-1142.DOI: 10.3760/cma.j.cn115259-20220531-00711

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Study on the influencing factors of residents′ benefit score of using UpToDate clinical consultant

Gong Bin, Huang Yilin, Wan Shanshan, Wang Zhengyang   

  1. Department of Education Administration, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310016, China
  • Received:2022-05-31 Online:2022-12-01 Published:2022-11-28
  • Contact: Wang Zhengyang, Email: wangzy_eric@zju.edu.cn

Abstract: Objective To analyze the influencing factors of residents′ benefit score using UpToDate clinical consultant (hereafter referred to as UpToDate), and to provide reference for the training of residents. Methods In July 2021, a total of 1 344 residents from 52standardized training bases for residents in five provinces of Gansu, Hainan, Jiangsu, Shanxi and Zhejiang were investigated by using the basic information questionnaire, the UpToDate benefit rating questionnaire and the revised Jefferson scale of physician lifelong learning, and quantile regression analysis will be used to analyze the influencing factors of their benefit score using UpToDate. In this study, 9 deciles were selected to establish 9 quantile regression equations, among which 0.1-0.3 quantiles were classified as group of low quantiles score, 0.4-0.6 as group of middle quantiles score, and 0.7-0.9 as group of high quantiles score. Results The UpToDate benefit score of other degrees residents increased by more than 10 points compared with doctor degree in the group of low quantiles score, and in the groups of middle and high quantiles score, the UpToDate benefit score of other degrees residents changed all less than 0 compared with doctor degree. In the all groups, for each additional point of the residents′ ″learning beliefs and motivation″, the change of the UpToDate benefit score gradually increased from -0.33 to 1.33; in the group of low quantiles score, for each additional point of ″attention to learning opportunities″ the change of the UpToDate benefit score fluctuated at 1.00, while in the groups of middle and high quantiles score, the change of the UpToDate benefit score gradually decreased from 1.00 to 0.20; in the groups of low and middle quantiles score, for each additional point of ″technical skills in seeking information″, the change of the benefit score was around 1.00, while in the group of high quantiles score, the change of the UpToDate benefit score decreased from 0.70 to less than 0.01. Conclusions Residents′ degrees mainly affected the UpToDate benefit score in group of low quantiles score, ″learning beliefs and motivation″, ″attention to learning opportunities″ and ″technical skills in seeking information″ affected the UpToDate benefit score in all groups. Different training programs can be developed for residents with different educational background, and measures should be taken to increase residents′ learning beliefs and motivation, to provide residents learning opportunities and to improve technical skills in seeking information.

Key words: Residents, UpToDate, Quantiles, Influencing factors

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