Factors associated with inappropriate attendances at the emergency department of a tertiary hospital in Singapore

Singapore Med J. 2020 Feb;61(2):75-80. doi: 10.11622/smedj.2019041. Epub 2019 May 2.

Abstract

Introduction: Inappropriate attendances (IAs) at emergency departments (ED) are contributed by patients with mild or moderate medical conditions that can be effectively managed by primary care physicians. IAs strain limited ED resources and have an adverse impact on efficiency. This study aimed to identify factors associated with IA at the ED of a tertiary hospital in Singapore.

Methods: We conducted a retrospective cohort study of all eligible visits to the aforementioned ED between 1 January 2015 and 31 December 2015. The appropriateness of each attendance was estimated using criteria based on investigations or procedures that were performed on the attendee and the discharge type of that attendance. IAs were then compared against appropriate attendances in these areas: attendee demographics; referral source; time of ED visit; proximity to ED and 24-hour general practitioner clinics; and history of ED visits in 2014. Multivariate analysis was performed on significant variables associated with IAs.

Results: Among 120,606 attendances, 11,631 (9.6%) were IAs. Multivariate analysis showed that gender, ethnicity, referral source, time of ED visit, nationality and history of frequent visits to the ED were factors associated with IAs. Moreover, the odds of IA were found to be higher among attendees who were younger, were self-referred, or had at least one IA in 2014.

Conclusion: This study identified subgroups in the population who were more likely to contribute to IAs at the ED. These findings offer relevant insights into future research directions and strategies that might potentially reduce avoidable IAs.

Keywords: crowding; emergency department; inappropriate attendances.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Child
  • Emergency Service, Hospital / statistics & numerical data*
  • Female
  • Health Services Misuse / statistics & numerical data*
  • Humans
  • Male
  • Middle Aged
  • Retrospective Studies
  • Risk Factors
  • Singapore
  • Tertiary Care Centers
  • Young Adult