An ED paradox: patients who arrive by ambulance and then leave without consulting an ED provider

Emerg Med J. 2017 Mar;34(3):151-156. doi: 10.1136/emermed-2015-205165. Epub 2016 Oct 4.

Abstract

Background: Scientists have called for strategies to identify ED patients with unmet needs. We identify the unique profile of ED patients who arrive by ambulance and subsequently leave without consulting a provider (ie, a paradoxical visit, PV).

Methods: Using a retrospective cohort design, administrative data from Winnipeg, Manitoba were interrogated to identify all ED patients 17+ years old as having zero, single or multiple PVs in 2012/2013. Analyses compare the sociodemographic, physical (eg, arthritis), mental (eg, substance abuse) and concurrent healthcare use profile of non-PV, single and multiple PV patients.

Results: The study cohort consisted of 122 639 patients with 250 754 ED visits. Across all ED sites, 2.3% of patients (N=2815) made 3387 PVs, comprising 1.4% of all ED visits. Descriptively, more single versus non-PV patients lived in urban core and lowest-income areas, were frequent ED users generally, were substance abusers and had seven plus primary care physician visits. Multiple PV patients had a similar but more extreme profile versus their single PV counterparts (eg, 54.7% of multiple vs 27.4% of single PV patients had substance abuse challenges). From multivariate statistics, single versus non-PV patients are defined uniquely by their frequent ED use, by their substance abuse, as living in a core and low income area, and as having multiple visits with primary care physicians.

Conclusions: PV patients have needs that do not align with the acute model of ED care. These patients may benefit from a more integrated care approach likely involving allied health professionals.

Keywords: emergency department utilisation; mental health; research, epidemiology.

MeSH terms

  • Adolescent
  • Adult
  • Ambulances / statistics & numerical data*
  • Cohort Studies
  • Cross-Sectional Studies
  • Emergency Service, Hospital / statistics & numerical data*
  • Female
  • Humans
  • Logistic Models
  • Male
  • Manitoba
  • Middle Aged
  • Multivariate Analysis
  • Retrospective Studies