QASSH量表的开发和验证:用于评估医疗保健教育中模拟情景质量的工具。

IF 3.8 2区 医学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Medical Education Online Pub Date : 2025-12-01 Epub Date: 2025-04-08 DOI:10.1080/10872981.2025.2486971
Etienne Rivière, Guillaume Der Sahakian, Marie-Laurence Tremblay, Gilles Chiniara
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引用次数: 0

摘要

基于模拟的教育已经成为医疗保健专业人员的预科和研究生培训的必要条件。然而,没有工具可以帮助模拟教育者或项目经理评估基于团队的沉浸式模拟(is)、模拟参与者(SP)和程序模拟(PS)的模拟场景脚本的教育质量。为此,我们开发了医疗保健模拟场景质量评估(QASSH)工具。本研究旨在为QASSH提供效度证据。我们在讲法语的医疗保健模拟学会(SoFraSimS)网络中建立了一个讲法语的专家小组,并根据最近发表的最佳实践和我们在构思模拟场景方面的长期经验设计了这个规模。我们通过向一组专家提交高质量、边缘性和低质量三种场景进行评估来测试它,其中三分之一的专家参与了它的开发。采用《教育与心理测验标准》对QASSH进行信效度分析。采用概化理论对刀具的内部结构和可靠性进行了评估。通过GT计算的绝对信度系数(G系数)分别为:0.97 (IS)、0.96 (SP)、0.98 (PS)。G-facet分析显示,去除QASSH的任何一个条目都不能显著提高三个变量的G系数。Cronbach’s alpha系数分别为0.94 (IS)、0.94 (SP)和0.97 (PS)。估计评分者数量对信度的影响(即d -研究)表明,两个评分者足以实现高于0.85的G系数。G研究具有较高的推广系数(≥0.90),具有较高的信度。效度的反应过程证据提供了证据,证明没有错误与使用仪器有关,并且它的可靠性在两个评分者中很高。QASSH是一个评估医疗保健模拟场景质量的工具,对于希望建立有效的is、PS和sp场景的教师很有帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Development and validation of the QASSH scale: a tool for assessing the quality of simulation scenarios in healthcare education.

Development and validation of the QASSH scale: a tool for assessing the quality of simulation scenarios in healthcare education.

Development and validation of the QASSH scale: a tool for assessing the quality of simulation scenarios in healthcare education.

Simulation-based education has become essential for pre- and post-graduate training of healthcare professionals. However, there is no tool to help simulation educators or program managers in assessing the educational quality of simulation scenario scripts for team-based immersive simulation (IS), simulated participants (SP) and procedural simulation (PS). To that end, we developed the Quality Assessment of Simulation Scenario in Healthcare (QASSH) tool. This study aims at providing validity evidence for QASSH. We set up a francophone group of experts within the French-speaking Society for Simulation in Healthcare (SoFraSimS) network and designed this scale based on recently published best practices and our long experience in conceiving simulation scenarios. We tested it by submitting three scenarios of high, borderline and low quality for assessment to a group of experts, a third of which were involved in its development. Analysis of reliability and validity of the QASSH was done using the Standards for educational and psychological testing. Generalizability theory (GT) was used to assess the internal structure and reliability of the tool. The absolute reliability coefficients (G coefficients) calculated through GT were: 0.97 (IS), 0.96 (SP), and 0.98 (PS). G-facet analyses showed that no removal of a single item of QASSH significantly increased the G coefficient above 0.01 for any of the three variants. Cronbach's alpha coefficients were 0.94 (IS), 0.94 (SP) and 0.97 (PS). Estimating the impact of the number of raters on reliability (i.e. D-studies) showed that two raters were enough to achieve a G coefficient above 0.85. The G study shows a high generalizability coefficient (≥0.90), which demonstrates high reliability. The response process evidence for validity provides evidence that no error was associated with using the instrument and its reliability was high with two raters. The QASSH is a tool to assess the quality of healthcare simulation scenarios and will be helpful to instructors wishing to build effective IS, PS and SPs scenarios.

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来源期刊
Medical Education Online
Medical Education Online EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
6.00
自引率
2.20%
发文量
97
审稿时长
8 weeks
期刊介绍: Medical Education Online is an open access journal of health care education, publishing peer-reviewed research, perspectives, reviews, and early documentation of new ideas and trends. Medical Education Online aims to disseminate information on the education and training of physicians and other health care professionals. Manuscripts may address any aspect of health care education and training, including, but not limited to: -Basic science education -Clinical science education -Residency education -Learning theory -Problem-based learning (PBL) -Curriculum development -Research design and statistics -Measurement and evaluation -Faculty development -Informatics/web
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