A scoping review of Fit in medical education: a guaranteed success, or a threat to inclusivity?

Julian Wang; Samuel Skulsky; Lindsey Sikora; Isabelle Raiche

doi:10.36834/cmej.78608

Authors

Julian Wang University of Ottawa
Samuel Skulsky University of Ottawa
Lindsey Sikora University of Ottawa
Isabelle Raiche University of Ottawa

DOI:

https://doi.org/10.36834/cmej.78608

Abstract

Background: Finding applicants that fit in with educational environments is a goal of many educators in hopes that it will lead to successful training. “Fit” is used colloquially to describe a general feeling, however the field of study has grown to include specific terms describing the compatibility between people and their environments, organizations, and jobs. Despite common use, the term is used often but non-specifically in medical education. This review aims to examine the current literature of fit in medical education, how fit is defined, measured and whether it correlates to educational outcomes.

Methods: A systematic database search was conducted in 2024 with Medline, Embase, APA PsychINFO, ERIC and Education Source from 1970 to April 23, 2024. Key search terms included fit, student, medicine, clinical, education. Relevant data included definitions of fit, measurement tools, and correlation with educational outcomes. The standard six-step scoping review framework and PRISMA-ScR reporting guidelines were used.

Results: The search identified 1960 non-duplicate articles, 11 of which were included in the review after screening. Fit was specifically defined in only threearticles and was measured primarily through personality and value testing with interviews and surveys. Educational outcomes correlated positively with fit, however were studied in just three articles.

Conclusions: Person-organization fit may correlate positively with medical education outcomes however there is limited research in this field. Further research should explore methods in evaluating for fit in trainee selection while focusing on the risk of discrimination based on intrinsic biases.

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References

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