Gender Disparities in Electronic Health Record Usage and Inbasket Burden for Internal Medicine Residents

• Published in: Journal of general internal medicine : JGIM 2024-11, Vol.39 (15), p.2904-2909
• Main Authors: Liddell, Savannah S., Tomasi, Alessandra G., Halvorsen, Andrew J., Stelling, Brianna E. Vaa, Leasure, Emily L.
• Format: Article
• Language: English
• Subjects: Adult; Data analysis; Electronic health records; Electronic Health Records - statistics & numerical data; Electronic medical records; Female; Females; Gender; Gender aspects; Gender differences; Gender equity; Humans; Internal Medicine; Internal Medicine - education; Internship and Residency - statistics & numerical data; Male; Medical education; Medical personnel; Medicine; Medicine & Public Health; Messages; Original Research; Patients; Physicians; Physicians, Women - statistics & numerical data; Sex differences; Sex Factors; Sexism; Statistical analysis; Telemedicine; Time measurement; Variance analysis; Workload; Workloads
• ISSN: 0884-8734; 1525-1497; 1525-1497
• DOI: 10.1007/s11606-024-08861-0

Background Studies have demonstrated patients hold different expectations for female physicians compared to male physicians, including higher expectations for patient-centered communication and addressing socioeconomic or emotional needs. Recent evidence indicates this gender disparity extends to the electronic health record (EHR). Similar studies have not been conducted with resident physicians. Objective This study seeks to characterize differences in EHR workload for female resident physicians compared to male resident physicians. Design This study evaluated 12 months of 156 Mayo Clinic internal medicine residents’ inbasket data from July 2020 to June 2021 using Epic’s Signal and Physician Efficiency Profile (PEP) data. Excel, BlueSky Statistics, and SAS analytical software were used for analysis. Paired t -tests and analysis of variance were used to compare PEP data by gender and postgraduate year (PGY). “Male” and “female” were used in substitute for “gender” as is precedent in the literature. Subjects Mayo Clinic internal medicine residents. Main Measures Total time spent in EHR per day; time in inbasket and notes per day; time in notes per appointment; number of patient advice requests made through the portal; message turnaround time. Key Results Female residents received more patient advice requests per year ( p  = 0.004) with an average of 86.7 compared to 68, resulting in 34% more patient advice requests per day worked ( p