Adoption of emergency department crowding interventions among US hospitals between 2007 and 2020

Am J Emerg Med. 2023 Aug:70:127-132. doi: 10.1016/j.ajem.2023.05.034. Epub 2023 May 27.

Abstract

Background: To deal with emergency department (ED) crowding, the American College of Emergency Physicians (ACEP) established a task force to develop a list of low-cost, high-impact solutions. In this study, we report on the trend in the adoption rate of ACEP-recommended ED crowding interventions by US hospitals.

Methods: We analyzed the National Hospital Ambulatory Medical Care Survey data from 2007 to 2020 (N = 3874 hospitals). The primary outcome was whether a hospital adopted each of the ACEP-recommended interventions, which were grouped into three overlapping categories: technology-based, flow modifications, and physical-based (e.g., changing ED layout).

Results: On average, the most frequently adopted intervention was bedside registration (85.1%) and the least frequently adopted intervention was kiosk check-in (8.3%). The adoption of ED crowding interventions increased significantly between 2007 and 2020, except for expanding ED treatment space which declined by 45.0% from 30.3% in 2007 to 15.7% in 2020. The largest adoption rate increase occurred in having a separate operating room for ED cases with a 188.5% increase in adoption rate followed by radio-frequency identification (RFID) tracking (151.2%), and kiosk check-in (144.2%).

Conclusions: The adoption rate of ED crowding interventions by hospitals has risen, however most effective ED crowding interventions are still underutilized. The trends for each intervention did not always increase linearly, with certain periods showing greater fluctuations in adoption rate. Hospitals tend to implement technology-based interventions, compared to physical-based interventions and flow modification interventions.

Keywords: Adoption; Crowding; Emergency department crowding; High impact solutions.

MeSH terms

  • Crowding
  • Emergency Service, Hospital*
  • Emergency Treatment
  • Health Care Surveys
  • Hospitals*
  • Humans
  • Length of Stay