Abstract
INTRODUCTION: Emergency department (ED) boarding, the process of holding patients in the ED due to a lack of inpatient beds after the decision is made to admit, has profound consequences. Increased ED boarding times are associated with adverse patient outcomes, including increased mortality. While previous studies have demonstrated racial disparities with regard to ED boarding, current literature lacks insight into discrepancies that may exist among other demographic groups as it pertains to ED boarding. We sought to review ED boarding times differentiated by demographic characteristics. METHODS: We conducted a retrospective review of all ED admissions from an academic ED in the Southeast from April-September 2019. The primary outcome assessed was boarding time, defined as time from decision to admit to ED departure. Patient demographic data including race, gender, and age were collected and analyzed. We performed descriptive statistics and chi-square analyses. RESULTS: The study population included 17,606 patients with a mean age of 56.3. Nearly half (49.8%) of the patients were female. Additionally, 43.8% of patients were Black and 48.6% White. For all admissions, there was no difference in mean boarding time among Black and White patients (5.2 ± 8.8 vs 5.2 ± 8.2 hours, P = 0.11). Among Emergency Severity Index (ESI) level I admissions, Black patients boarded longer than White patients (4.1 ± 0.3 vs 2.7 ± 0.3 hours, P = 0.009). Black patients also boarded significantly longer than White patients for psychiatric admissions (22.7 ± 23.7 vs 18.5 ± 19.4 hours, P <0.05). For all admissions, males boarded longer than females (5.5 ± 8.5 vs 4.9 ± 8.2 hours, P <.0001). Patients older than 75 boarded for less time (3.8 ± 6.2 hours) compared to younger groups (15-24: 6.4 ± 10.8 hours; 25-44: 6.6 ± 10.8; 45-64: 5.0 ± 7.6; and 64-75: 4.7 ± 6.7; all P <.05). CONCLUSION: This analysis demonstrated significant differences in ED boarding times between races among psychiatric and ESI I admissions, gender, and age. This data provides insight into differences in ED boarding times among demographic groups and provides a focal point for examining possible factors contributing to the observed differences.