The epidemiology of emergency department attendances in Christchurch

N Z Med J. 2001 Apr 13;114(1129):157-9.

Abstract

Aim: To describe the characteristics of patients who attended Christchurch Hospital's emergency department (ED) in 1998.

Methods: Non-identifiable data about all the attendances to the ED during 1998 were obtained from Christchurch Hospital's management information services database. Demographic data, time and date of arrival, source of referral, diagnosis, triage category, and discharge destination were analysed.

Results: In 1998 there were 65,024 attendances, on average 178 people per day (95% confidence interval 145-211). Children and the elderly were the most frequent attenders except in weekends when visits by young people were more common. The elderly had the highest age specific rates of attendance. Most attendances were between 8am and midnight, and Mondays and July were the day and month with most attendances respectively. 43% of people referred themselves and 38% were referred by their general practitioner (GP). GP referrals were significantly more common during the day, the working week and in the winter. The elderly frequently presented with medical problems, their attendances were classified as more urgent and 75% of their visits resulted in hospital admission.

Conclusions: These findings are generally consistent with the few previously published descriptions of ED attendance in New Zealand and most overseas studies. ED attendance data have important implications for funders and providers of ED services and a national dataset should be established.

MeSH terms

  • Adolescent
  • Adult
  • Age Distribution
  • Aged
  • Child
  • Child, Preschool
  • Emergency Service, Hospital / statistics & numerical data*
  • Health Services Research
  • Hospitalization / statistics & numerical data
  • Hospitals, Teaching
  • Hospitals, Urban
  • Humans
  • Infant
  • Middle Aged
  • Morbidity*
  • New Zealand / epidemiology
  • Referral and Consultation / statistics & numerical data*
  • Seasons
  • Time Factors
  • Triage / classification
  • Triage / statistics & numerical data