five

Survey questions using a 5-point Likert scale.

收藏
Figshare2025-08-14 更新2026-04-28 收录
下载链接:
https://figshare.com/articles/dataset/Survey_questions_using_a_5-point_Likert_scale_/29913087
下载链接
链接失效反馈
官方服务:
资源简介:
Morning report (MR) is one of the most important forms of resident standardized training. However, at present, it has not been carried out in most residential training bases in China. The specific content and implementation plan of MR lack standardized process. We introduced thematic MR in the training of residents who underwent standardized training in critical care medicine. A total of 37 residents (major in critical care medicine) were divided into two groups: the MR group (n = 22) and the traditional training group (n = 15). After receiving a 24-week training in the ICU of the Department of Critical Care Medicine, a comprehensive ability of critical care medicine was evaluated in the residents. The performance was assessed by Objective Structured Examination (OSCE) stations and theory examinations, including clinical decision-making ability, emergency treatment ability, clinical practice skills, communication and cooperation skills and medical theoretical knowledge. The results showed that, although there was no significant difference between the two groups in terms of communication and teamwork skills (P = 0.524), the MR group outperformed the traditional training group in terms of clinical decision-making ability, emergency treatment ability, clinical practice skills, medical theoretical knowledge (P

晨间报告(Morning report, MR)是住院医师规范化培训中最为重要的形式之一,但目前国内多数住院医师规范化培训基地尚未开展此项培训,其具体内容与实施计划均缺乏标准化流程。我们在重症医学科住院医师规范化培训中引入了主题式晨间报告。共计37名重症医学专业住院医师被分为两组:晨间报告组(n=22)与传统培训组(n=15)。所有受试者均在重症医学科重症加强护理病房(Intensive Care Unit, ICU)完成为期24周的培训后,对住院医师的重症医学综合能力进行考核评估。考核采用客观结构化临床考试(Objective Structured Examination, OSCE)站点考核与理论考试相结合的方式,评估维度涵盖临床决策能力、急诊处置能力、临床实践技能、沟通协作能力及医学理论知识。结果显示,尽管两组在沟通与团队协作能力上无显著统计学差异(P=0.524),但晨间报告组在临床决策能力、急诊处置能力、临床实践技能及医学理论知识方面均优于传统培训组(P
创建时间:
2025-08-14
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作