Literature DB >> 21988626

Medical school dropout--testing at admission versus selection by highest grades as predictors.

Lotte O'Neill1, Jan Hartvigsen, Birgitta Wallstedt, Lars Korsholm, Berit Eika.   

Abstract

CONTEXT: Very few studies have reported on the effect of admission tests on medical school dropout. The main aim of this study was to evaluate the predictive validity of non-grade-based admission testing versus grade-based admission relative to subsequent dropout.
METHODS: This prospective cohort study followed six cohorts of medical students admitted to the medical school at the University of Southern Denmark during 2002-2007 (n=1544). Half of the students were admitted based on their prior achievement of highest grades (Strategy 1) and the other half took a composite non-grade-based admission test (Strategy 2). Educational as well as social predictor variables (doctor-parent, origin, parenthood, parents living together, parent on benefit, university-educated parents) were also examined. The outcome of interest was students' dropout status at 2 years after admission. Multivariate logistic regression analysis was used to model dropout.
RESULTS: Strategy 2 (admission test) students had a lower relative risk for dropping out of medical school within 2 years of admission (odds ratio 0.56, 95% confidence interval 0.39-0.80). Only the admission strategy, the type of qualifying examination and the priority given to the programme on the national application forms contributed significantly to the dropout model. Social variables did not predict dropout and neither did Strategy 2 admission test scores.
CONCLUSIONS: Selection by admission testing appeared to have an independent, protective effect on dropout in this setting. © Blackwell Publishing Ltd 2011.

Mesh:

Year:  2011        PMID: 21988626     DOI: 10.1111/j.1365-2923.2011.04057.x

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


  9 in total

1.  The roles of personal interview and cognitive abilities at admission to medical school in predicting performance of medical students in their internal medicine sub-internship.

Authors:  Idit F Liberty; Lena Novack; Reli Hershkovitz; Amos Katz
Journal:  BMC Med Educ       Date:  2022-07-13       Impact factor: 3.263

2.  Medical school admission test: advantages for students whose parents are medical doctors?

Authors:  Anne Simmenroth-Nayda; Yvonne Görlich
Journal:  BMC Med Educ       Date:  2015-04-23       Impact factor: 2.463

3.  Non-cognitive selected students do not outperform lottery-admitted students in the pre-clinical stage of medical school.

Authors:  Susanna M Lucieer; Karen M Stegers-Jager; Remy M J P Rikers; Axel P N Themmen
Journal:  Adv Health Sci Educ Theory Pract       Date:  2015-05-03       Impact factor: 3.853

4.  The effects of a non-cognitive versus cognitive admission procedure within cohorts in one medical school.

Authors:  Marieke de Visser; Cornelia Fluit; Janke Cohen-Schotanus; Roland Laan
Journal:  Adv Health Sci Educ Theory Pract       Date:  2017-06-10       Impact factor: 3.853

5.  Struggling with strugglers: using data from selection tools for early identification of medical students at risk of failure.

Authors:  James Li; Rachel Thompson; Boaz Shulruf
Journal:  BMC Med Educ       Date:  2019-11-09       Impact factor: 2.463

6.  Assessment of dropout rates in the preclinical years and contributing factors: a study on one Thai medical school.

Authors:  Sorawit Wainipitapong; Mayteewat Chiddaycha
Journal:  BMC Med Educ       Date:  2022-06-16       Impact factor: 3.263

7.  Medical school attrition-beyond the statistics a ten year retrospective study.

Authors:  Bridget M Maher; Helen Hynes; Catherine Sweeney; Ali S Khashan; Margaret O'Rourke; Kieran Doran; Anne Harris; Siun O' Flynn
Journal:  BMC Med Educ       Date:  2013-01-31       Impact factor: 2.463

8.  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

9.  The influence of different curriculum designs on students' dropout rate: a case study.

Authors:  John Vergel; Gustavo A Quintero; Andrés Isaza-Restrepo; Martha Ortiz-Fonseca; Catalina Latorre-Santos; Juan Mauricio Pardo-Oviedo
Journal:  Med Educ Online       Date:  2018-12
  9 in total

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