Pang Nicholas, Kadir Fairrul, Kamu Assis, Mun Ho Chong, Loo Jiann Lin, Ahmedy Fatimah, Jeffree Mohammad Saffree
Faculty of Medicine and Health Sciences, Universiti Malaysia Sabah, Jalan UMS, 88400, Kota Kinabalu, Sabah, Malaysia.
Faculty of Science and Natural Resources, Universiti Malaysia Sabah, Jalan UMS, 88400, Kota Kinabalu, Sabah, Malaysia.
Ann Med Surg (Lond). 2021 Nov 5;71:103019. doi: 10.1016/j.amsu.2021.103019. eCollection 2021 Nov.
The Multiple Mini Interview (MMI) demonstrates efficacy and superiority over traditional medical interviews in assessing non-cognitive domains during the recruitment of medical undergraduates. At Universiti Malaysia Sabah (UMS), a five-station MMI was piloted in 2019, featuring a mix of three examiner-driven stations (assessing professionalism, ethics, and motivation to study medicine), and two roleplayer-driven stations (assessing empathy and science communication specifically, and communication skills in general).
260 candidates were grouped into two separate geographical groups - urban and suburban/rural. Descriptive analysis, skewness and kurtosis were performed for normality assessment, whereas Cronbach's alpha, McDonald's omega, and Greatest lower bound assessed internal consistency. For validity measures, correlations were calculated between scores for separate stations, overall scores, urban and suburban/rural status. Also, exploratory factor analysis was performed on the five stations as validity measures. Difficulty and discrimination indices were calculated as quality measures. Qualitative analysis was performed on "red flag" comments detailing grossly unsuitable candidates.
Roleplayer-driven stations yielded more red flags than examiner-driven stations. The three examiner-driven stations were significantly and moderately correlated (rho between 0.602 and 0.609, < 0.001). The Empathy roleplayer-driven station was not correlated with two examiner-driven stations and only weakly correlated with the Ethics examiner-driven and the Science Communication roleplayer-driven station. Factor analysis suggests a three-factor model. The two roleplayer-driven stations stood as independent factors, and the three examiner-driven stations coalescing as one factor provided the best explanatory model. Quality measures suggest all five stations had suitable discriminatory properties (all >0.530), whereas the stations were distributed equally in difficulty index.
The UMS MMI has identified specific skillsets that may be in short supply in our incoming medical students. Also, it illustrates the yawning gap between academic knowledge and 'translational' scientific knowledge and communication skills.
在医学本科招生过程中,多重迷你面试(MMI)在评估非认知领域方面展现出优于传统医学面试的效果和优势。马来西亚沙巴大学(UMS)于2019年试点了一场五站式MMI,其中包括三个由考官主导的站点(评估职业素养、道德规范和学医动机),以及两个由角色扮演人员主导的站点(分别评估同理心和科学沟通能力,以及总体沟通技巧)。
260名考生被分为两个不同的地域组——城市组和郊区/农村组。进行描述性分析、偏度和峰度分析以评估数据正态性,同时使用克朗巴哈系数、麦克唐纳欧米伽系数和最大下界系数评估内部一致性。对于效度测量,计算各独立站点得分、总分、城市和郊区/农村状态得分之间的相关性。此外,对五个站点进行探索性因素分析以作为效度测量。计算难度和区分度指数作为质量测量。对详细描述明显不合适考生的“警示”评论进行定性分析。
由角色扮演人员主导的站点比由考官主导的站点产生了更多警示。三个由考官主导的站点之间存在显著的中度相关性(rho在0.602至0.609之间,<0.001)。同理心角色扮演人员主导的站点与两个由考官主导的站点不相关,仅与道德规范考官主导的站点和科学沟通角色扮演人员主导的站点存在弱相关性。因素分析表明存在一个三因素模型。两个由角色扮演人员主导的站点作为独立因素,而三个由考官主导的站点合并为一个因素提供了最佳解释模型。质量测量表明所有五个站点都具有合适的区分特性(均>0.530),而各站点在难度指数上分布均匀。
UMS的MMI已识别出我们即将入学的医学生可能缺乏的特定技能集。此外,它还揭示了学术知识与“转化”科学知识及沟通技巧之间的巨大差距。