MMI - An unbiased approach to health education selection?

Background Widening participation to health science degrees is a vital part of our efforts to ensure a high-quality pool of graduates in clinical fields. With the increasing usage of multiple mini interviews for selection to these courses, it is crucial that we recognise the biases within these s...

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Main Author: Gerens Curnow
Format: Article
Language:English
Published: Association for Medical Education in Europe (AMEE) 2018-05-01
Series:MedEdPublish
Subjects:
Online Access:https://www.mededpublish.org/Manuscripts/1644
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spelling doaj-bedefee030794a66bee298fadb55b68b2020-11-25T00:39:18ZengAssociation for Medical Education in Europe (AMEE)MedEdPublish2312-79962018-05-0172MMI - An unbiased approach to health education selection?Gerens Curnow0University of Exeter Medical SchoolBackground Widening participation to health science degrees is a vital part of our efforts to ensure a high-quality pool of graduates in clinical fields. With the increasing usage of multiple mini interviews for selection to these courses, it is crucial that we recognise the biases within these selection processes. Aims This paper aims to examine recently published literature to determine the extent to which demographic factors (age, race, sex and socio-economic background) impact on MMI scores for applicants to health science degrees. Methods A literature search was conducted using the Medline and SCOPUS databases for literature published from 2015 to present. Relevant papers were identified through a Boolean search, and individually analysed to determine their relevance to this review. Results This review identified nine relevant papers. Biases were identified in all four domains, but the evidence was mixed and of varying quality. The strongest evidence for a bias was found in papers looking at socio-economic background. Conclusion Further research is required to determine the extent to which the MMI approach is biased against certain groups of applicants, and to identify ways to address these imbalances, as evidence of the impact of demographics on MMI score has been identified. https://www.mededpublish.org/Manuscripts/1644Multiple Mini InterviewBias
collection DOAJ
language English
format Article
sources DOAJ
author Gerens Curnow
spellingShingle Gerens Curnow
MMI - An unbiased approach to health education selection?
MedEdPublish
Multiple Mini Interview
Bias
author_facet Gerens Curnow
author_sort Gerens Curnow
title MMI - An unbiased approach to health education selection?
title_short MMI - An unbiased approach to health education selection?
title_full MMI - An unbiased approach to health education selection?
title_fullStr MMI - An unbiased approach to health education selection?
title_full_unstemmed MMI - An unbiased approach to health education selection?
title_sort mmi - an unbiased approach to health education selection?
publisher Association for Medical Education in Europe (AMEE)
series MedEdPublish
issn 2312-7996
publishDate 2018-05-01
description Background Widening participation to health science degrees is a vital part of our efforts to ensure a high-quality pool of graduates in clinical fields. With the increasing usage of multiple mini interviews for selection to these courses, it is crucial that we recognise the biases within these selection processes. Aims This paper aims to examine recently published literature to determine the extent to which demographic factors (age, race, sex and socio-economic background) impact on MMI scores for applicants to health science degrees. Methods A literature search was conducted using the Medline and SCOPUS databases for literature published from 2015 to present. Relevant papers were identified through a Boolean search, and individually analysed to determine their relevance to this review. Results This review identified nine relevant papers. Biases were identified in all four domains, but the evidence was mixed and of varying quality. The strongest evidence for a bias was found in papers looking at socio-economic background. Conclusion Further research is required to determine the extent to which the MMI approach is biased against certain groups of applicants, and to identify ways to address these imbalances, as evidence of the impact of demographics on MMI score has been identified.
topic Multiple Mini Interview
Bias
url https://www.mededpublish.org/Manuscripts/1644
work_keys_str_mv AT gerenscurnow mmianunbiasedapproachtohealtheducationselection
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