The impact of various learner arrangements on emergency department staff productivity.

Abstract

Purpose: This study aimed to examine how different learner arrangements affect the number of patients seen per hour by staff emergency physicians in ambulatory and non-ambulatory zones of two tertiary teaching hospitals in Ottawa, Canada.

Methods: This was a retrospective cohort study analyzing all emergency department (ED) shifts at the Civic and General Campus EDs of The Ottawa Hospital from April 2022 to March 2023. Data collected included shift type (ambulatory or non-ambulatory), learner arrangement, and number of patients seen per hour. Descriptive statistics and two-sample, two-tailed t tests to analyze the relationship between patients seen per hour and learner arrangements.

Results: We analyzed 8161 shifts over the study period, including 5233 in ambulatory care and 2928 in non-ambulatory care areas. Among ambulatory care shifts, the average number of patients seen per hour was 2.1 (95% CI 2.1-2.1) when working alone, 1.9 (1.9-2.0, p < 0.001) with a medical student, 2.1 (2.1-2.2, p = 0.20) with a junior resident, 2.6 (2.5-2.6, p < 0.001) with a senior resident, 2.1 (2.1-2.2, p = 0.33) with a junior resident and a medical student, and 2.6 (2.5-2.7, p < 0.001) with a senior resident and a medical student. In non-ambulatory care shifts, the average number of patients seen per hour was 1.4 (95% CI 1.3-1.5) when working alone (122 shifts, 4%), 1.4 (1.4-1.5, p = 0.63) with a medical student (85 shifts, 3%), 1.5 (1.5-1.5, p = 0.02) with a junior resident (1,013 shifts, 35%), 1.8 (1.7-1.8, p < 0.001) with a senior resident (682 shifts, 23%), 1.6 (1.5-1.6, p < 0.001) with a junior resident and a medical student (683 shifts, 23%), and 1.8 (1.7-1.8, p < 0.001) with a senior resident and a medical student (343 shifts, 12%).

Conclusion: This study highlights the significant impact that learner arrangements have on staff physician productivity in the ED. These findings underscore the importance of strategic scheduling to optimize patient throughput.