Impact of an Emergency Department Saturation Tool on a Pediatric Hospital's Capacity Management Policy

Abstract

Evidence-based general emergency department saturation assessment tools to estimate and/or predict crowding are rarely used by pediatric emergency departments (PEDs) to devise responses to overcrowding. Objective We sought to describe how the Emergency Department Work Index (EDWIN) saturation tool (1) correlates with PED overcrowding during a capacity management activation policy, known internally as Purple Alert and (2) compare overall hospital-wide capacity metrics on days in which the alert was instituted versus days it was not. Methods This study was conducted between January 1, 2017 and December 31, 2019 in a 30-bed academic quaternary care, urban PED within a university hospital. The EDWIN tool was implemented in January 2019 and objectively measured the busyness of the PED. To determine correlation with overcrowding, EDWIN scores were calculated at alert initiation. Mean alert hours per month were plotted on a control chart before and after EDWIN implementation. We also compared daily numbers of PED visits, inpatient admissions, and patients left without being seen (LWBS) for days with and without alert initiation to assess whether or not Purple Alert correlated with high PED usage. Results During the study period, the alert was activated a total of 146 times; 43 times after EDWIN implementation. Mean EDWIN score was 2.5 (SD 0.5, min 1.5, max 3.8) at alert initiation. There were no alert occurrences for EDWIN scores less than 1.5 (not overcrowded). There was no statistically significant difference for mean alert hours per month before and after EDWIN was instituted (21.4 vs 20.2, P = 0.08). Mean numbers of PED visits, inpatient admissions, and patients left without being seen were higher on days with alert activation (P < 0.001 for all). Conclusions The EDWIN score correlated with PED busyness and overcrowding during alert activation and correlated with high PED usage. Future studies could include implementing a real-time Web-based EDWIN score as a prediction tool to prevent overcrowding and verifying EDWIN generalizability at other PED sites.