Progress OSCEs for Longitudinal Competence Assessment: A Scoping Review.

IF 2.9 3区 医学 Q3 HEALTH CARE SCIENCES & SERVICES
Nelson G de Oliveira, Fabrizio F Borelli, João P Góes Alves, Gabriela O Biondi, Diancarlos P de Andrade, Gerson A Pereira Júnior
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引用次数: 0

Abstract

Progressive objective structured clinical examinations (OSCEs) are increasingly used to extend simulation-based performance assessment across time, yet repeated OSCE administration alone does not create a longitudinal assessment system. This scoping review shows that the literature often blurs the boundary between serial OSCEs and true progress OSCEs. The central contribution of this review is to clarify that progress OSCEs require intentional design features, including stable construct representation, terminal blueprint anchoring, rater calibration, and linking/equating strategies, to support defensible developmental interpretation. For simulation educators and researchers, the practical implication is clear: repetition creates assessment opportunities, but only longitudinal comparability by design supports claims about learner growth.

纵向能力评估的oses进展:范围审查。
渐进式客观结构化临床检查(OSCE)越来越多地用于扩展基于模拟的绩效评估,但单独重复的OSCE管理并不能创建纵向评估系统。这一范围审查表明,文献往往模糊了系列欧安组织和真正进展欧安组织之间的界限。本综述的主要贡献是阐明了欧安组织的进展需要有意的设计特征,包括稳定的结构表征、终端蓝图锚定、评级校准和链接/等同策略,以支持可防御的发展解释。对于模拟教育工作者和研究人员来说,实际意义是明确的:重复创造了评估机会,但只有设计的纵向可比性才能支持学习者成长的说法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.00
自引率
8.30%
发文量
158
审稿时长
6-12 weeks
期刊介绍: Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare is a multidisciplinary publication encompassing all areas of applications and research in healthcare simulation technology. The journal is relevant to a broad range of clinical and biomedical specialties, and publishes original basic, clinical, and translational research on these topics and more: Safety and quality-oriented training programs; Development of educational and competency assessment standards; Reports of experience in the use of simulation technology; Virtual reality; Epidemiologic modeling; Molecular, pharmacologic, and disease modeling.
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