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使用医学推理能力测试来帮助预测医学院的学业表现。

Use of a medical reasoning aptitude test to help predict performance in medical school.

作者信息

Vu N V, Dawson-Saunders B, Barrows H S

出版信息

J Med Educ. 1987 Apr;62(4):325-35. doi: 10.1097/00001888-198704000-00004.

Abstract

A medical reasoning aptitude test (MRAT) was designed to assess aptitude for clinical problem-solving in medical school applicants. The purpose of the study reported here was to determine whether the information provided by this test, when used in conjunction with college grade-point averages (GPAs) and scores on the Medical College Admission Test (MCAT), would improve the prediction of medical school performance. Specifically, the authors investigated the incremental predictive value of the MRAT relative to students' overall performance in medical school and, more specifically, to their knowledge and clinical reasoning during preclinical years and clinical performance during the clerkship year. Overall, it was found that, with the exception of the first year, the addition of MRAT scores to the GPAs and MCAT scores increased precision in identifying students who performed poorly or exceptionally well in the second year and the clinical clerkship year. This last finding is especially useful, since few other tests have provided that information. On the basis of the preliminary findings, the authors propose further use and validation of the MRAT.

摘要

医学推理能力测试(MRAT)旨在评估医学院申请者解决临床问题的能力。本文报告的研究目的是确定该测试所提供的信息,与大学平均绩点(GPA)和医学院入学考试(MCAT)成绩相结合时,是否能提高对医学院学习表现的预测。具体而言,作者研究了MRAT相对于学生在医学院的整体表现,更具体地说,相对于他们在临床前几年的知识和临床推理以及实习年的临床表现的增量预测价值。总体而言,研究发现,除了第一年,将MRAT分数加入GPA和MCAT分数中,提高了识别在第二年和临床实习年表现不佳或表现优异的学生的准确性。最后这一发现尤其有用,因为很少有其他测试能提供此类信息。基于初步研究结果,作者建议进一步使用和验证MRAT。

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