兰德/UCLA适当性方法在验证ECG多选题中的有用性
Tomohiro Kaga1, Shinji Inaba2, Yukari Shikano3
1Ehime University, Toon, Japan.
BMC medical education
|April 24, 2024
概括
兰德/UCLA适当性方法 (RAM) 有效验证了心电图 (ECG) 多选择题 (MCQ). 这种专家共识的方法提高了问题的质量,以获得更好的医学教育评估.
科学领域:
- 医学教育 医学教育
- 心脏病学 心脏病学
- 健康 专业 教育 卫生 专业 教育
背景情况:
- 专家的共识对于开发高质量的医学评估工具至关重要.
- 验证用于心电图 (ECG) 解释的多选择题 (MCQ) 需要严格的方法.
- 兰德/UCLA适当性方法 (RAM) 为专家共识提供了一个结构化的框架.
研究的目的:
- 评估RAND/UCLA适当性方法 (RAM) 的实用性,以验证基于专家共识的ECG的MCQ.
- 评估RAM在确保ECG评估问题的质量和适当性的有效性.
- 确定RAM是否可以提高心脏病学中基于MCQ的评估的可靠性.
主要方法:
- 使用RAND/UCLA适当性方法 (RAM) 的三阶段过程,与九位专家小组成员合作.
- 专家们参加了准备,在线 (第一轮) 和面对面 (第二轮) 的共识建设阶段.
- 100个心电图MCQ被评估,使用中位数和四分区间范围 (IQR) 进行适当性评估,随后进行专家小组审查.
主要成果:
- 在第一轮的专家平均成功率为0.89.
- 在100个问题中,有54个问题最初根据中位数和IQR被归类为"讨论".
- 在第2轮中,最初的100个ECGMCQ中,有23%最终被认为是不合适的,这突出了该方法的过能力.
结论:
- 使用中位数和IQR的RAM,提供了一个客观的方法来确定MCQ的有效性.
- 这种方法有助于选择合适的问题,从而有助于开发更高质量的ECG评估测试.
- RAM提高了医学教育专家共识的严格性,特别是在心脏病学等专业领域.
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