Rivière Etienne, Der Sahakian Guillaume, Tremblay Marie-Laurence, Chiniara Gilles
Department of Internal Medicine, Haut-Leveque Hospital, University Hospital Centre of Bordeaux, Pessac, France.
Medical Faculty & SimBA-S Simulation Center, Bordeaux University, Bordeaux, France.
Med Educ Online. 2025 Dec;30(1):2486971. doi: 10.1080/10872981.2025.2486971. Epub 2025 Apr 8.
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.
基于模拟的教育已成为医疗保健专业人员研究生前和研究生培训的关键。然而,目前尚无工具可帮助模拟教育工作者或项目管理人员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。我们在法语医疗保健模拟协会(SoFraSimS)网络中组建了一个法语专家小组,并根据最近发表的最佳实践以及我们构思模拟场景的长期经验设计了该量表。我们通过向一组专家提交三个高、中、低质量的场景进行评估来测试它,其中三分之一的专家参与了该工具的开发。使用教育和心理测试标准对QASSH的信度和效度进行了分析。采用概化理论(GT)评估该工具的内部结构和信度。通过GT计算得出的绝对信度系数(G系数)分别为:0.97(IS)、0.96(SP)和0.98(PS)。G面分析表明,对于这三种变体中的任何一种,去除QASSH中的任何一个单项都不会使G系数显著提高超过0.01。克朗巴哈α系数分别为0.94(IS)、0.94(SP)和0.97(PS)。评估评分者数量对信度的影响(即D研究)表明,两名评分者足以使G系数高于0.85。G研究显示出较高的概化系数(≥0.90),这表明信度较高。效度的反应过程证据表明,使用该工具不存在误差,并且两名评分者的信度很高。QASSH是一种评估医疗保健模拟场景质量的工具,将有助于希望构建有效IS、PS和SP场景的教师。