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Exploring Gender, Race, and Ethnicity Differences in Assessment of Pediatric Subspecialty Fellows Using the
Melissa L Langhan1, Alan Schwartz2, Angela S Czaja3
1Departments of Pediatrics and Emergency Medicine, Section of Pediatric Emergency Medicine, Yale School of Medicine (ML Langhan), New Haven, Conn.
Pediatric subspecialty fellows' assessments using the Entrustable Professional Activity (EPA) framework showed no gender bias. A single racial bias was found, with Asian fellows receiving lower supervision levels for consultations compared to White fellows.
Area of Science:
- Medical Education
- Health Professions Training
- Pediatrics
Background:
- Trainee assessments in medical specialties can exhibit gender and racial/ethnic biases.
- The Entrustable Professional Activity (EPA) framework assesses professional activities and requires assigning supervision levels.
- Potential biases in EPA-based assessments among pediatric subspecialty fellows warrant investigation.
Purpose of the Study:
- To analyze Clinical Competency Committee (CCC)-assigned EPA supervision levels for gender and race/ethnicity differences.
- To investigate potential biases in EPA-based assessments within pediatric subspecialty training.
Main Methods:
- Secondary analysis of de-identified datasets from pediatric subspecialty fellows (2018-2022).
- CCCs assigned supervision levels for Pediatric Subspecialty EPAs.
- Data were linked to fellow demographics (gender, race/ethnicity), categorizing race/ethnicity as underrepresented in medicine, Asian, or White.
- Ordinal mixed effects models analyzed supervision ratings, adjusting for covariates and clustering.
Main Results:
- Data from 561 fellows were analyzed.
- Asian fellows received lower supervision levels for the Consultation EPA compared to White fellows (aOR 0.48, 95% CI: 0.31-0.77).
- No other significant differences in EPA supervision levels were observed based on gender or other racial/ethnic categories.
Conclusions:
- EPA-based assessments in pediatric subspecialty fellows showed no gender bias.
- A single instance of racial bias was identified, affecting Asian fellows regarding the Consultation EPA.
- Findings suggest EPA-based assessments are largely unbiased, which is reassuring given their increasing use in medical education.
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