4.6 Article

Can achievement at medical admission tests predict future performance in postgraduate clinical assessments? A UK-based national cohort study

期刊

BMJ OPEN
卷 12, 期 2, 页码 -

出版社

BMJ PUBLISHING GROUP
DOI: 10.1136/bmjopen-2021-056129

关键词

medical education & training; general medicine (see internal medicine); education & training (see medical education & training)

资金

  1. UCAT Consortium
  2. NIHR Career Development Fellowship [CDF-2015-08-11]
  3. National Institute for Health Research (NIHR)

向作者/读者索取更多资源

This study aims to determine whether scores on two undergraduate admissions tests, BMAT and UCAT, can predict performance on the postgraduate MRCP examination. The results showed that some subtest scores of BMAT and UCAT had incremental predictive validity for the first two parts of the MRCP. Only aptitude and skills on BMAT and verbal reasoning on UCAT predicted passing PACES at the first attempt. These findings suggest that the abilities assessed by aptitude and skills and verbal reasoning may be crucial cognitive attributes for predicting future clinical performance.
Objective To determine whether scores on two undergraduate admissions tests (BioMedical Admissions Test (BMAT) and University Clinical Aptitude Test (UCAT)) predict performance on the postgraduate Membership of the Royal Colleges of Physicians (MRCP) examination, including the clinical examination Practical Assessment of Clinical Examination Skills (PACES). Design National cohort study. Setting Doctors who graduated medical school between 2006 and 2018. Participants 3045 doctors who had sat BMAT, UCAT and the MRCP. Primary outcome measures Passing each section of the MRCP at the first attempt, including the clinical assessment PACES. Results Several BMAT and UCAT subtest scores displayed incremental predictive validity for performance on the first two (written) parts of the MRCP. Only aptitude and skills on BMAT (OR 1.34, 1.08 to 1.67, p=0.01) and verbal reasoning on UCAT (OR 1.34, 1.04 to 1.71, p=0.02) incrementally predicted passing PACES at the first attempt. Conclusions Our results imply that the abilities assessed by aptitude and skills and verbal reasoning may be the most important cognitive attributes, of those routinely assessed at selection, for predicting future clinical performance. Selectors may wish to consider placing particular weight on scales assessing these attributes if they wish to select applicants likely to become more competent clinicians. These results are potentially relevant in an international context too, since many admission tests used globally, such as the Medical College Admission Test, assess similar abilities.

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