Kennedy Ann Blair, Riyad Cindy Nessim Youssef, Gunn Laura H, Brown April Gant, Dunlap Kandyce Brooke, Knutsen Melissa Elizabeth, Dahl Alicia Anne
Biomedical Sciences, University of South Carolina School of Medicine Greenville, Greenville, SC USA.
Graduate Medical Education, Prisma Health, Greenville, SC USA.
Med Sci Educ. 2020 Jul 2;30(3):1049-1060. doi: 10.1007/s40670-020-01013-z. eCollection 2020 Sep.
Medical schools are shifting to a holistic approach for admissions. As non-cognitive abilities become more valued in the medical field and admissions become more competitive, multiple mini-interviews (MMI) are becoming increasingly common in selection criteria. The purpose of this article is to examine the relationship among admissions criteria to create a predictive model of acceptance to medical school. This article also aims to examine, among matriculated students, the relationship between MMI and traditional academic success, and the relationship between MMI scores and clinical competence and academic accolades.
This longitudinal study followed a cohort of students from the MMI process through the first two pre-clinical years at a medical school in the southeastern USA. Multiple logistic regression with backward elimination variable selection was used to examine the relationship between admission criteria and acceptance. A multivariate multinomial ordered probit model was used to assess the relationship between MMI and traditional academic success among matriculated students. Simple linear regression models were used to assess relationships between MMI and Objective Structured Clinical Examination (OSCE) scores and honors nomination.
MMI are among eight significant predictors of acceptance. Among matriculated students, there were weak negative associations between MMI and traditional academic success; however, all but one relationship was statistically non-significant. There was not a significant association between MMI and OSCE scores or academic accolades.
While MMI can identify students with non-cognitive skills needed to be a good physician, continued assessment needs to be incorporated in their education.
医学院校正在转向采用整体招生方式。随着非认知能力在医学领域越来越受到重视,且招生竞争愈发激烈,多重迷你面试(MMI)在选拔标准中变得越来越普遍。本文旨在研究招生标准之间的关系,以创建一个医学院校录取预测模型。本文还旨在研究已录取学生中MMI与传统学业成绩之间的关系,以及MMI分数与临床能力和学术荣誉之间的关系。
这项纵向研究跟踪了美国东南部一所医学院的一批学生,从MMI流程开始,一直到临床前两年。采用带有向后剔除变量选择的多重逻辑回归来研究录取标准与录取之间的关系。使用多元多项有序概率模型来评估已录取学生中MMI与传统学业成绩之间的关系。使用简单线性回归模型来评估MMI与客观结构化临床考试(OSCE)分数及荣誉提名之间的关系。
MMI是录取的八个重要预测因素之一。在已录取学生中,MMI与传统学业成绩之间存在微弱的负相关;然而,除了一种关系外,所有其他关系在统计学上均不显著。MMI与OSCE分数或学术荣誉之间没有显著关联。
虽然MMI可以识别出具备成为优秀医生所需非认知技能的学生,但在他们的教育过程中仍需要持续进行评估。