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多站式迷你面试与传统面试中表现相关的医学院申请人特征:一项多机构研究。

Medical School Applicant Characteristics Associated With Performance in Multiple Mini-Interviews Versus Traditional Interviews: A Multi-Institutional Study.

机构信息

M.C. Henderson is professor, Department of Internal Medicine, and associate dean for admissions, University of California, Davis, School of Medicine, Sacramento, California. C.J. Kelly is professor, Department of Medicine, and associate dean for admissions and student affairs, University of California, San Diego, School of Medicine, San Diego, California. E.J. Griffin is lead medical education evaluator, Office of Medical Education, University of California, Davis, School of Medicine, Sacramento, California. T.R. Hall is professor, Department of Radiology, and associate dean for admissions, David Geffen School of Medicine at UCLA, Los Angeles, California. A. Jerant is professor, Department of Family and Community Medicine, University of California, Davis, School of Medicine, Sacramento, California. E.M. Peterson is professor, Department of Pathology, and associate dean for admissions, University of California, Irvine, School of Medicine, Irvine, California. J.A. Rainwater is director of evaluation, Schools of Health and Clinical and Translational Science Center, University of California, Davis, School of Medicine, Sacramento, California. F.J. Sousa is assistant dean for admissions, University of California, Davis, School of Medicine, Sacramento, California. D. Wofsy is professor, Department of Medicine, and associate dean for admissions, University of California, San Francisco, School of Medicine, San Francisco, California. P. Franks is professor, Department of Family and Community Medicine, University of California, Davis, School of Medicine, Sacramento, California.

出版信息

Acad Med. 2018 Jul;93(7):1029-1034. doi: 10.1097/ACM.0000000000002041.

Abstract

PURPOSE

To examine applicant characteristics associated with multiple mini-interview (MMI) or traditional interview (TI) performance at five California medical schools.

METHOD

Of the five California Longitudinal Evaluation of Admission Practices consortium schools, three used TIs and two used MMIs. Schools provided retrospective data on 2011-2013 admissions cycle interviewees: age, gender, race/ethnicity (underrepresented in medicine [UIM] or not), disadvantaged (DA) status, undergraduate GPA, Medical College Admission Test (MCAT) score, and interview score (standardized as z score; mean = 0; SD = 1). Adjusted linear regression analyses, stratified by interview type, examined associations with interview performance.

RESULTS

The 4,993 applicants who completed 7,516 interviews included 931 (18.6%) UIM and 962 (19.3%) DA individuals; 3,226 (64.6%) had only 1 interview. Mean age was 24.4 (SD = 2.7); mean GPA and MCAT score were 3.72 (SD = 0.22) and 33.6 (SD = 3.7), respectively. Older age, female gender, and number of prior interviews were associated with better performance on both MMIs and TIs. Higher GPA was associated with lower MMI scores (z score, per unit GPA = -0.26; 95% CI = -0.45, -0.06) but unrelated to TI scores. DA applicants had higher TI scores (z score = 0.17; 95% CI = 0.07, 0.28) but lower MMI scores (z score = -0.18; 95% CI = -0.28, -0.08) than non-DA applicants. Neither UIM status nor MCAT score was associated with interview performance.

CONCLUSIONS

These findings have potentially important workforce implications, particularly regarding MMI performance of DA applicants, and illustrate the need for other multi-institutional studies.

摘要

目的

在加州的五所医学院校中,研究与多次迷你面试(MMI)或传统面试(TI)表现相关的申请人特征。

方法

在加州纵向评估招生实践联盟的五所学校中,有三所使用 TI,两所使用 MMI。学校提供了 2011-2013 年招生周期面试者的回顾性数据:年龄、性别、种族/民族(医学领域代表性不足[UIM]或非代表性)、弱势群体(DA)地位、本科平均绩点(UGPA)、医学院入学考试(MCAT)成绩和面试成绩(标准化为 z 分数;平均值=0;标准差=1)。按面试类型进行调整线性回归分析,研究与面试表现的关联。

结果

完成 7516 次面试的 4993 名申请人中,包括 931 名(18.6%)代表性不足的少数族裔和 962 名(19.3%)弱势群体;其中 3226 名(64.6%)只有一次面试。平均年龄为 24.4 岁(标准差=2.7);平均 GPA 和 MCAT 分数分别为 3.72(标准差=0.22)和 33.6(标准差=3.7)。年龄较大、女性和之前的面试次数与 MMIs 和 TIs 的表现更好相关。更高的 GPA 与较低的 MMI 分数相关(z 分数,每单位 GPA= -0.26;95%置信区间= -0.45,-0.06),但与 TI 分数无关。与非 DA 申请人相比,DA 申请人的 TI 分数更高(z 分数=0.17;95%置信区间=0.07,0.28),而 MMI 分数更低(z 分数=-0.18;95%置信区间=-0.28,-0.08)。UIM 身份和 MCAT 分数都与面试表现无关。

结论

这些发现具有潜在的重要劳动力影响,特别是关于 DA 申请人的 MMI 表现,这表明需要进行其他多机构研究。

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