| How well do selection tools predict performance later in a medical programme? | |
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MedLine Citation:
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PMID: 21892708 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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The choice of tools with which to select medical students is complex and controversial. This study aimed to identify the extent to which scores on each of three admission tools (Admission GPA, UMAT and structured interview) predicted the outcomes of the first major clinical year (Y4) of a 6 year medical programme. Data from three student cohorts (n = 324) were analysed using regression analyses. The Admission GPA was the best predictor of academic achievement in years 2 and 3 with regression coefficients (B) of 1.31 and 0.9 respectively (each P < 0.001). Furthermore, Admission GPA predicted whether or not a student was likely to earn 'Distinction' rather than 'Pass' in year 4. In comparison, UMAT and interview showed low predictive ability for any outcomes. Interview scores correlated negatively with those on the other tools. None of the tools predicted failure to complete year 4 on time, but only 3% of students fell into this category. Prior academic achievement remains the best measure of subsequent student achievement within a medical programme. Interview scores have little predictive value. Future directions include longer term studies of what UMAT predicts, and of novel ways to combine selection tools to achieve the optimum student cohort. |
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Authors:
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Boaz Shulruf; Phillippa Poole; Grace Ying Wang; Joy Rudland; Tim Wilkinson |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-9-3 |
Journal Detail:
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Title: Advances in health sciences education : theory and practice Volume: - ISSN: 1573-1677 ISO Abbreviation: - Publication Date: 2011 Sep |
Date Detail:
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Created Date: 2011-9-5 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9612021 Medline TA: Adv Health Sci Educ Theory Pract Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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Centre for Medical and Health Sciences Education, Faculty of Medical and Health Sciences, The University of Auckland, Private Bag 92019, Auckland Mail Centre, Auckland, 1142, New Zealand, b.shulruf@auckland.ac.nz. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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