使用一致性学习来开发在线反的表达式管理中的推理:一个试点研究
Benjamin Verillaud1, Marine Veleur1, Romain Kania1
1Otorhinolaryngology and Skull Base Center, Assistance Publique - Hôpitaux de Paris, Hôpital Lariboisière, Université Paris Cité, Paris, France.
Science progress
|August 28, 2024
概括
这项研究表明,学习-by-Concordance工具有效地培训耳鼻喉科-头部和部外科住院医生管理表. 居民报告说,在使用这种教育方法后,他们的临床推理和知识得到了改善.
科学领域:
- 医学教育 医学教育
- 耳鼻喉科 耳鼻喉科 耳鼻喉科
- 进行外科手术培训.
背景情况:
- 鼻血症 (鼻出血) 经常需要急诊室的访问.
- 在耳鼻喉科 - 头部外科 (OHNS) 住院医生中,有效地管理表需要强大的临床推理技能.
- 协同学习 (LbC) 工具提供模拟的临床场景,并提供专家反.
研究的目的:
- 评估LbC工具的可行性和感知价值,用于培训OHNS居民进行表管理.
- 评估LbC对居民临床推理和知识获取的影响.
主要方法:
- 一项涉及OHNS外科医生和住院医生的定性研究.
- 由教师和居民开发LbC场景.
- 在线平台提供了LbC工具,并得到了OHNS教师小组的反.
- 通过在线问卷评估居民反.
主要成果:
- 在37名居民中,有25人 (68%) 完成了培训.
- 报告的高满意度:88%的人喜欢这种方法,92%的人希望重复使用.
- 住院居民在临床推理 (92%) 和表观学知识 (96%) 中发现了显著的改善.
结论:
- LbC方法是OHNS居民的一种有价值的教育方法.
- 该工具增强了临床推理和知识,用于管理像表观症这样的复杂疾病.
- 在LbC框架内,小组成员的反对外科训练有好处.
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