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Relationship Between Gender Identity and Underrepresented-In-Medicine Identity on Emergency Medicine Resident
Ryan F Coughlin1, Jessica Bod1, Shacelles Bonner1
1Yale University School of Medicine, New Haven, Connecticut.
Background:
Effective delivery of feedback is critical to enhancing learning, clinical performance, and professional growth among residents. However, disparities may exist in how feedback is given to different learner groups.
Objective:
To determine if resident gender or underrepresented-in medicine (UiM) identity influenced the likelihood of receiving feedback.
Methods:
This was a retrospective study of feedback delivery at an academic, 4-year, emergency medicine residency over a 28-month period. Generalized estimating equation models were performed to assess the odds of receiving feedback, feedback delivery, feedback content, or use of deliberate practice with respect to resident and assessor gender identity and UiM identity, or resident-assessor gender identity or UiM identity concordance.
Results:
Resident gender identity (OR 0.96; 95% CI 0.84-1.11) and UiM identity (OR 1.02; 95% CI 0.81-1.27) were not associated with differences in receiving written feedback. Analysis among those who received face-to-face feedback revealed no significant differences in feedback delivery method by gender (OR 1.13; 95% CI 0.83-1.52) or UiM identity (OR 1.40; 95% CI 0.97-2.02). There were no significant differences in the use of deliberate practice (gender OR 0.94; 95% CI 0.81-1.09 and UiM OR 1.009; 95% CI 0.77-1.33). Neither faculty-resident gender concordance (OR 0.95; 95% CI 0.83-1.08) nor faculty-resident UiM concordance (OR 1.07; 95% CI 0.92-1.24) were significantly associated with receiving written feedback.
Conclusion:
In this single-center, retrospective study, there were no significant differences in the odds of receiving feedback, feedback delivery, self-reported feedback content, or use of deliberate practice with respect to resident gender identity and resident UiM identity, or resident-faculty gender or UiM concordance. Further research with larger, multisite datasets is needed to draw more definitive conclusions regarding disparities in these areas on a larger scale.
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