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Biased Language in Simulated Handoffs and Clinician Recall and Attitudes
Austin Wesevich1, Erica Langan2, Ilona Fridman3,4
1Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, Illinois.
Biased language in patient handoffs reduces medical trainees' recall of clinical information and empathy, potentially worsening health disparities. Standardizing handoffs is crucial for patient safety and equity.
Area of Science:
- Medical Education
- Patient Safety
- Health Equity
Background:
- Poor-quality patient handoffs can lead to medical errors.
- Biased language in handoffs may exacerbate these errors and contribute to health care disparities.
Purpose of the Study:
- To compare clinical information recall accuracy and patient attitudes among trainees exposed to biased versus neutral language in simulated patient handoffs.
Main Methods:
- Trainees (residents and medical students) received simulated verbal handoffs randomized to biased (stereotype, blame, doubt) or neutral language.
- Evaluated clinical information recall, patient attitudes (using PASS scale), and key takeaways post-handoff.
Main Results:
- Biased handoffs, particularly blame-based, significantly reduced information recall accuracy (77% vs. 93%) and patient attitudes (22.9 vs. 25.2).
- Reporting bias as a takeaway correlated with lower recall accuracy.
- Positive patient attitudes were associated with higher recall accuracy.
Conclusions:
- Biased handoffs impair clinical information transfer and reduce empathy, posing risks to patients and exacerbating health disparities.
- Standardizing handoffs is essential to mitigate racial bias and enhance patient safety.
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