Evaluating bias in medical school admissions tools

Thuy-Anh Ngo and Lawrence Grierson are leading a study that evaluates bias in medical school admissions in Canada by reviewing literature, analysing diversity profiles of applicants, and exploring the possibility of systemic bias in selection tools and performance indicators during medical training.

A scoping review found limited research and evidence of unwarranted bias in commonly used selection tools impacting individuals from diverse backgrounds. A publication based on these findings is underway. Additionally, the research team is finalizing the categorization of social identity variables to establish the diversity profiles of medical school applicants and identify underrepresented groups. To study the association between identity features and performance indicators, we are also linking performance data from McMaster students and applicants with their identity data from a demographic survey with over 90% completion rate. This allows us to investigate the potential for systemic bias in admissions and in medical training. Our goal is to support a more equitable and diverse medical education system.