Discovering the underlying typology of emergency departments

BMC Med Res Methodol. 2021 Jun 5;21(1):116. doi: 10.1186/s12874-021-01305-x.

Abstract

Background: We hypothesized that monitoring the volume of activity and overall performance indicators is not sufficient to understand the underlying differences between emergency departments. We aimed to understand the underlying common characteristics of emergency departments and map their typology in order to propose adaptive solutions, that would take into account territorial specificities and manage existing resources.

Methods: We applied a multifactorial analysis based on input data at three levels; 1) the health care available in the area surrounding the emergency departments, 2) the level of medical technicality of the hospitals and 3) the profile of emergency department visits.

Results: We included 73 emergency departments in this study, representing 93.6% of the emergency departments in our region and seven groups were retained. The smallest group (n = 5) included both public and private structures with low volumes of activity. These medical structures were associated with the shortest length of stay and one of the lowest hospitalisation rates. The largest group (n = 21) included only public structures in peri-urban areas, which were associated with the highest rate of hospitalization in the region. The surrounding population was representative of the regional population, but the patients were older.

Conclusions: This approach represents a systemic response to target the organisational needs and constraints, propose appropriate solutions and adjust the financial resources allocated to hospitals. Future policies to improve care delivery may benefit from stratifying solutions and performance objectives depending on these groups.

Keywords: Emergency department; Factor analysis; Organisation; Territory; Typology.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Delivery of Health Care
  • Emergency Service, Hospital*
  • Hospitalization*
  • Hospitals
  • Humans