Literature DB >> 25545580

Ethnic and social disparities in performance on medical school selection criteria.

Karen M Stegers-Jager1, Ewout W Steyerberg, Susanna M Lucieer, Axel P N Themmen.   

Abstract

CONTEXT: Medical schools in Western societies seek measures to increase the diversity of their student bodies with respect to ethnicity and social background. Currently, little is known about the effects of different selection procedures on student diversity.
OBJECTIVES: This prospective cohort study aimed to determine performance differences between traditional and non-traditional (i.e. ethnic minority and first-generation university candidates) medical school applicants in academic and non-academic selection criteria.
METHODS: Applicants in 2013 (n = 703) were assessed on academic and non-academic selection criteria. They also completed a questionnaire on ethnicity and social background. Main outcome measures were 'not selected' (i.e. failure on any criteria), 'failure on academic criteria' and 'failure on non-academic criteria'. Odds ratios (ORs) with 95% confidence intervals (CIs) were estimated by logistic regression analysis for ethnic subgroups (Surinamese/Antillean, Turkish/Moroccan/African, Asian, Western) compared with Dutch applicants, adjusted for age, gender, additional socio-demographic variables (first-generation immigrant, first-generation university applicant, first language, medical doctor as parent) and pre-university grade point average (pu-GPA). Similar analyses were performed for first-generation university applicants.
RESULTS: Compared with Dutch applicants, Surinamese/Antillean applicants underperformed in the selection procedure (failure rate: 78% versus 57%; adjusted OR 2.52, 95% CI 1.07-5.94), in particular on academic criteria (failure rate: 66% versus 34%; adjusted OR 3.00, 95% CI 1.41-6.41). The higher failure rate of first-generation university applicants on academic criteria (50% versus 37%; unadjusted OR 1.66, 95% CI 1.18-2.33) was partly explained by additional socio-demographic variables and pu-GPA. The outcome measure 'failure on non-academic criteria' showed no significant differences among the ethnic or social subgroups.
CONCLUSIONS: The absence of differences on non-academic criteria was promising with reference to increasing social and ethnic diversity; however, the possibility that self-selection instigated by the selection procedure is stronger in applicants from non-traditional backgrounds cannot be ruled out. Further research should also focus on why cognitive tests might favour traditional applicants.
© 2014 John Wiley & Sons Ltd.

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Mesh:

Year:  2015        PMID: 25545580     DOI: 10.1111/medu.12536

Source DB:  PubMed          Journal:  Med Educ        ISSN: 0308-0110            Impact factor:   6.251


  5 in total

1.  Student ethnicity predicts social learning experiences, self-regulatory focus and grades.

Authors:  Chantal E E van Andel; Marise P Born; Walter W van den Broek; Karen M Stegers-Jager
Journal:  Med Educ       Date:  2021-10-11       Impact factor: 7.647

2.  Motivation and academic performance of medical students from ethnic minorities and majority: a comparative study.

Authors:  Ulviye Isik; Anouk Wouters; Marieke M Ter Wee; Gerda Croiset; Rashmi A Kusurkar
Journal:  BMC Med Educ       Date:  2017-11-28       Impact factor: 2.463

3.  The role of the assessment policy in the relation between learning and performance.

Authors:  Rob Kickert; Karen M Stegers-Jager; Marieke Meeuwisse; Peter Prinzie; Lidia R Arends
Journal:  Med Educ       Date:  2017-12-11       Impact factor: 6.251

4.  Lessons learned from 15 years of non-grades-based selection for medical school.

Authors:  Karen M Stegers-Jager
Journal:  Med Educ       Date:  2017-10-06       Impact factor: 6.251

5.  Do changing medical admissions practices in the UK impact on who is admitted? An interrupted time series analysis.

Authors:  Shona Fielding; Paul Alexander Tiffin; Rachel Greatrix; Amanda J Lee; Fiona Patterson; Sandra Nicholson; Jennifer Cleland
Journal:  BMJ Open       Date:  2018-10-08       Impact factor: 2.692

  5 in total

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