Related Experiment Video
Updated: Feb 20, 2026

Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology
Published on: September 28, 2022
Is it them or is it us? Unravelling ethnic disparities in undergraduate clinical performance
1Institute of Medical Education Research Rotterdam, Erasmus MC, University Medical Centre Rotterdam, Room AE-241, PO Box 2040, 3000 CA, Rotterdam, Netherlands. k.stegers-jager@erasmusmc.nl.
Abstract:
Given our increasingly diverse societies, there is an urgent need for research into the causes of persistent ethnic disparities in undergraduate clinical performance. It is argued that causes for underperformance can be identified from two perspectives, namely that of the students ('them') and that of the academic environment ('us'). Taking the 'us' perspective, Yeates et al. conducted a detailed experimental study aimed at understanding the processes underlying judgment and decision-making in clinical assessments. Contrary to their expectations, their study indicates that, despite the presence of active stereotypes, examiner bias does not explain ethnic minority students' underperformance. Naturally, future studies are required to confirm their findings. It is suggested that these studies should take into account various rater and situational factors (e.g. rater experience, increased cognitive load) that may influence examiners' reliance on stereotypes. However, future work should also focus on other potential impeding factors from both perspectives, including differences in communication styles. Knowing what leads to the ethnic disparities in performance is a prerequisite for designing interventions aimed at ensuring a level playing field for a diverse student population.Please see related article: https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-017-0943-0.
Related Concept Videos
Surveys
Bias in Epidemiological Studies
Stereotypes, Prejudice, and Discrimination
Ethnic Identity within a Larger Culture
Theory of Attribution II: Kelley's Covariation Theory
Confounding in Epidemiological Studies

