Preclinical Dentistry Department, School of Biomedical and Health Sciences, Universidad Europea, 28670 Madrid, Spain.
Health Sciences Facilities, Universidad Europea, 28670 Madrid, Spain.
Int J Environ Res Public Health. 2023 Jan 27;20(3):2247. doi: 10.3390/ijerph20032247.
Realism is indispensable in clinical simulation learning, and the objective of this work is to present to the scientific community the methodology behind a novel numerical and digital tool to objectively measure realism in clinical simulation. Indicators measuring accuracy and naturality constitute ProRealSim v.1.0 (Universidad Europea, Madrid, Spain) which allows the assessing of attained realism for three dimensions: simulated participant, scenography, and simulator. Twelve experts in simulation-based learning (SBL) analyzed the conceptual relevance of 73 initial qualitative indicators that were then reduced to 53 final indicators after a screening study evaluating eight medical clinical simulation scenarios. Inter- and intra-observer concordance, correlation, and internal consistency were calculated, and an exploratory factorial analysis was conducted. Realism units were weighted based on variability and its mathematical contribution to global and dimensional realism. A statistical significance of < 0.05 was applied and internal consistency was significant in all cases (raw_alpha ≥ 0.9698094). ProRealSim v.1.0 is integrated into a bilingual, free, and open access digital platform, and the intention is to foster a culture of interpretation of realism for its better study and didactic use.
临床模拟学习中不可或缺的是现实主义，本工作的目的是向科学界展示一种新颖的数值和数字工具背后的方法，以客观地衡量临床模拟中的现实主义。ProRealSim v.1.0（西班牙马德里欧洲大学）的指标可衡量准确性和自然性，用于评估模拟参与者、场景和模拟器这三个维度的实现的现实主义程度。12 名模拟教学领域的专家分析了 73 个初始定性指标的概念相关性，然后经过一项评估 8 个医学临床模拟场景的筛选研究，将其减少到 53 个最终指标。计算了组内和组间一致性、相关性和内部一致性，并进行了探索性因子分析。基于变异性及其对整体和维度现实主义的数学贡献，对现实主义单位进行了加权。应用了统计学意义<0.05，并且在所有情况下内部一致性均显著（原始α≥0.9698094）。ProRealSim v.1.0 集成到一个双语、免费和开放获取的数字平台中，目的是培养现实主义的解释文化，以便更好地研究和教学使用。
