Cade Alice E, Meuller Nimrod
J Chiropr Educ. 2023 Sep 29;38(1):9-16. doi: 10.7899/JCE-22-29.
The Objective Structured Clinical Examination (OSCE) is a commonly used assessment of clinical skill, and ensuring the quality and reliability in OSCEs is a complex, and on-going process. This paper discusses scoring schemas and reviews checklists and global rating scales (GRS) for marking. Also detailed are post-examination quality assurance metrics tailored to smaller cohorts, with an illustrative dataset.
A deidentified OSCE dataset, from stations with both a checklist and GRS, of 24 examinees from a 2021 cohort was assessed using the following metrics: Cut-scores or pass-rates, number-of-failures, R2, inter-grade discrimination, and between-group-variation. The results were used to inform a set of implementable recommendations to improve future OSCEs.
For most stations the calculated cut-score calculated was higher than the traditional pass of 50% (58.9.8-68.4%). Number-of-failures were low for traditional pass rates and cuts-scores (0.00-16.7%), excepting Lab Analysis where number-of-failures was 50.0%. R2 values ranged from 0.67-0.97, but proportion of total variance was high (67.3-95.9). These data suggest there were potential missed teaching concepts, that station marking was open to examiner interpretation, and there were inconsistencies in examiner marking.Recommendations included increasing checklist detail and using a weighted marking scale, separating some stations into dichotomous and key-feature checklists, using GRSs specific to each station, and reviewing all future OSCEs with the metrics described to guide refinements.
The analysis used revealed several potential issues with the OSCE assessment. These findings informed recommendations to improve the quality of future examinations.
客观结构化临床考试(OSCE)是一种常用的临床技能评估方式,确保OSCE的质量和可靠性是一个复杂且持续的过程。本文讨论了评分模式,并对用于评分的检查表和整体评分量表(GRS)进行了综述。还详细介绍了针对较小队列的考后质量保证指标,并给出了一个说明性数据集。
使用以下指标对2021年队列中24名考生的OSCE数据集进行评估,该数据集来自同时使用检查表和GRS的考站:及格分数或通过率、不及格人数、R2、等级间区分度和组间差异。结果用于提出一系列可实施的建议,以改进未来的OSCE。
对于大多数考站,计算出的及格分数高于传统的50%及格线(58.9%-68.4%)。除实验室分析考站不及格人数为50.0%外,传统通过率和及格分数对应的不及格人数较低(0.00%-16.7%)。R2值范围为0.67-0.97,但总方差比例较高(67.3%-95.9%)。这些数据表明可能存在教学概念遗漏、考站评分易受考官主观影响以及考官评分不一致的情况。建议包括增加检查表细节并使用加权评分量表,将一些考站分为二分法和关键特征检查表,使用每个考站特定的GRS,并使用所述指标审查所有未来的OSCE以指导改进。
所采用的分析揭示了OSCE评估中的几个潜在问题。这些发现为提高未来考试质量的建议提供了依据。