Selection into medicine: the predictive validity of an outcome-based procedure
- PMID: 30223816
- PMCID: PMC6142422
- DOI: 10.1186/s12909-018-1316-x
Selection into medicine: the predictive validity of an outcome-based procedure
Abstract
Background: Medical schools must select students from a large pool of well-qualified applicants. A challenging issue set forward in the broader literature is that of which cognitive and (inter)personal qualities should be measured to predict diverse later performance. To address this gap, we designed a 'backward chaining' approach to selection, based on the competences of a 'good doctor'. Our aim was to examine if this outcome-based selection procedure was predictive of study success in a medical bachelor program.
Methods: We designed a multi-tool selection procedure, blueprinted to the CanMEDS competency framework. The relationship between performance at selection and later study success across a three-year bachelor program was examined in three cohorts. Study results were compared between selection-positive and selection-negative (i.e. primarily rejected) students.
Results: Selection-positive students outperformed their selection-negative counterparts throughout the entire bachelor program on assessments measuring cognitive (e.g. written exams), (inter)personal and combined outcomes (i.e. OSCEs). Of the 30 outcome variables, selection-positive students scored significantly higher in 11 cases. Fifteen other, non-significant between-group differences were also in favor of the selection-positives. An overall comparison using a sign test indicated a significant difference between both groups (p < 0.001), despite equal pre-university GPAs.
Conclusions: The use of an outcome-based selection approach seems to address some of the predictive validity limitations of commonly-used selection tools. Selection-positive students significantly outperformed their selection-negative counterparts across a range of cognitive, (inter)personal, and mixed outcomes throughout the entire three-year bachelor in medicine.
Keywords: Backward chaining; Outcome-based; Predictive validity; Selection.
Conflict of interest statement
Authors’ information
SANNE SCHREURS, PhD candidate, Maastricht University.
KITTY CLEUTJENS, PhD, Associate Professor, Maastricht University.
ARNO MUIJTJENS, PhD, Statistician-Methodologist, Associate Professor, Maastricht University.
JENNIFER CLELAND, PhD, John Simpson Chair of Medical education, University of Aberdeen, Chair of the ASME.
MIRJAM OUDE EGBRINK, PhD, MHPE, Professor of Implementation of Educational Innovations, Maastricht University.
Ethics approval and consent to participate
During the selection procedure, applicants were asked to give their informed consent for the use of their selection and assessment data for research purposes. It was made clear that not taking part in the study would not adversely influence their progression. All selection applicants agreed to participate. Participant data was anonymized before it was shared with the research team. The study was approved by the Ethical Review Board of the Netherlands Association for Medical Education (NVMO; file number 303).
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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