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How Assumptions and Preferences Can Affect Patient Care: An Introduction to Implicit Bias for First-Year Medical
Cristina M Gonzalez1, Stephanie Nava2, Julie List3
1Professor, Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine.
Summary
First-year medical students learned strategies to manage implicit bias through a new educational program. This model efficiently trains faculty and students, making implicit bias education feasible for entire medical schools.
Area of Science:
- Medical Education
- Healthcare Disparities
- Psychology
Background:
- Implicit bias instruction is increasing in medical training.
- Preclinical medical education lacks implicit bias content.
- Faculty guidance for implicit bias facilitation is limited.
Purpose of the Study:
- To design and implement an implicit bias instructional session for first-year medical students.
- To develop a faculty training program for facilitating implicit bias education.
- To address the gap in preclinical implicit bias training.
Main Methods:
- A single 1-hour multimedia lecture was delivered to all first-year medical students.
- Students participated in small-group sessions with trained facilitators focusing on reflection and strategy identification.
- Program evaluation involved thematic analysis of student strategies and facilitator feedback.
Main Results:
- 1,098 students received instruction.
- Student-identified strategies centered on humility, reflection, and partnering.
- Post-session debriefs identified areas for session enhancement, including dynamic small-group discussions and highlighting bias management in professional development.
Conclusions:
- The instructional design successfully equipped first-year medical students with strategies to manage implicit bias.
- The model is feasible, with one faculty member delivering the large-group session and trained volunteers facilitating small groups.
- This approach enables simultaneous instruction for an entire medical school class.
Keywords:
Diversity and InclusionFaculty DevelopmentHealth Care DisparitiesHealth EquityImplicit BiasUnconscious BiasMore Related Videos
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