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Cherry Picking Patients: Examining the Interval Between Patient Rooming and Resident Self-assignment
Brian W Patterson1, Robert J Batt1,2, Morgan D Wilbanks1
1BerbeeWalsh Department of Emergency Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI.
Resident physicians show preferences for certain patient chief complaints, leading to significant variations in patient pickup times. This study highlights potential physician bias in emergency department patient assignments.
Area of Science:
- Emergency Medicine
- Health Services Research
- Medical Education
Background:
- Patient chief complaint is a primary factor in emergency department (ED) triage and physician assignment.
- Understanding factors influencing resident physician patient selection is crucial for optimizing ED workflow and training.
Purpose of the Study:
- To evaluate the association between patient chief complaint and the time interval between patient rooming and resident physician self-assignment (pickup time).
- To hypothesize that significant variation in pickup time exists based on chief complaint, potentially revealing resident preferences.
Main Methods:
- Retrospective review of electronic health records for over 30,000 patients in a university-based ED.
- Analysis of "pickup time" (room assignment to resident self-assignment) for patients seen by residents.
- Proportional hazards model used to control for demographic and clinical factors.
Main Results:
- Median pickup time was 6 minutes (IQR 2-15 minutes).
- Significant variation in pickup time by chief complaint was observed after controlling for covariates.
- Longest pickup times were associated with abdominal problems, numbness/tingling, and vaginal bleeding; shortest times were for ankle injury, allergic reaction, and wrist injury.
Conclusions:
- Consistent variation in resident pickup time by chief complaint suggests residents may prefer patients with simpler workups.
- Pickup time can serve as a metric to uncover and address potential physician bias.
- Further research is needed to determine if these patterns persist in attending physicians and are influenced by EHR information.
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