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医学专业招生面试申请人的最佳实践:系统评价。

Best practices for interviewing applicants for medical school admissions: a systematic review.

机构信息

Program in Biology, Brown University, Providence, RI, USA.

Division of Ophthalmology, Alpert Medical School, Brown University, Providence, RI, USA.

出版信息

Perspect Med Educ. 2022 Oct;11(5):239-246. doi: 10.1007/s40037-022-00726-8. Epub 2022 Sep 22.

Abstract

INTRODUCTION

Interviews are commonly used to select applicants for medical school, residency, and fellowship. However, interview techniques vary in acceptability, feasibility, reliability, and validity. This systematic review investigated the effectiveness of different interview methods in selecting the best qualified applicants for admission to medical school and developed a logic model to implement best practices for interviewing.

METHODS

Five electronic literature databases were searched for comparative studies related to interviewing in medical schools from inception through February 1, 2021. Inclusion criteria included publications in English that compared different methods of conducting a selection interview in medical schools with a controlled trial design. General study characteristics, measurement methodologies, and outcomes were reviewed. Quality appraisal was performed using the Medical Education Research Study Quality Instrument (MERSQI) and the Oxford Risk of Bias Scale. Based on these findings, a logic model was constructed using content analysis.

RESULTS

Thirteen studies were included. The multiple mini-interview (MMI) was reliable, unbiased, and predicted clinical and academic performance; the virtual MMI increased reliability and lowered costs. For unstructured interviews, blinding interviewers to academic scores reduced bias towards higher scorers; student and faculty interviewers rated applicants similarly. Applicants preferred structured over unstructured interviews. Study quality was above average per the MERSQI, risk of bias was high per the Oxford scale, and between-study heterogeneity was substantial.

DISCUSSION

There were few high-quality studies on interviewing applicants for admission to medical school; the MMI appears to offer a reliable method of interviewing. A logic model can provide a conceptual framework for conducting evidence-based admissions interviews.

摘要

简介

面试常用于选拔医学生、住院医师和研究员。然而,面试技术在可接受性、可行性、可靠性和有效性方面存在差异。本系统评价调查了不同面试方法在选拔最合格的医学生申请人方面的有效性,并制定了一个逻辑模型,以实施面试的最佳实践。

方法

从开始到 2021 年 2 月 1 日,通过五个电子文献数据库搜索与医学院面试相关的比较研究。纳入标准包括用英语发表的、采用对照试验设计比较医学院不同面试方法的研究。审查了一般研究特征、测量方法和结果。使用医学教育研究研究质量工具(MERSQI)和牛津风险偏倚量表进行质量评估。基于这些发现,使用内容分析法构建了一个逻辑模型。

结果

共纳入 13 项研究。多项迷你面试(MMI)可靠、无偏且可预测临床和学术表现;虚拟 MMI 提高了可靠性并降低了成本。对于非结构化面试,面试官对学术成绩的盲目性降低了对高分者的偏见;学生和教师面试官对申请人的评价相似。申请人更喜欢结构化面试而非非结构化面试。根据 MERSQI,研究质量高于平均水平,根据牛津量表,偏倚风险较高,且研究间异质性较大。

讨论

几乎没有高质量的研究探讨了面试医学生申请人的问题;MMI 似乎提供了一种可靠的面试方法。逻辑模型可以为进行基于证据的招生面试提供一个概念框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05da/9582167/9fdbe7f2e994/40037_2022_726_Fig1_HTML.jpg

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