Avoidable emergency admissions?

Emerg Med J. 2013 Sep;30(9):707-11. doi: 10.1136/emermed-2012-201630. Epub 2012 Sep 14.

Abstract

Background: Use of specialist healthcare services is increasing.

Aim: To evaluate whether alternative healthcare services could reduce the need for admissions to specialist care hospitals.

Design: Prospective observational study of emergency referrals for admission to specialist care.

Setting: A single out-of-hours primary care centre (OPCC) in Norway.

Method: Out-of-hours physicians registered their referrals for hospital admission and stated whether the admission could have been avoided given the availability of six other healthcare services.

Results: Of 1083 registered encounters at the OPCC, 152 (14%) were referred for specialist care hospital admission. According to the referring physician, 32 (21%) of these referrals could have been avoided. The most eligible alternatives to such referrals were next-day appointments at a specialist outpatient clinic (11 of 32 referrals), or admission to a community hospital (21 of 32 referrals), or a nursing home (nine of 32 referrals). Respiratory (eight of 32 referrals) and gastrointestinal problems (12 of 32 referrals) were the most common among avoidable admissions.

Conclusions: The use of specialist care hospital admission can be reduced if appropriate alternatives are available.

Keywords: emergency care systems, admission avoidance; emergency care systems, primary care.

Publication types

  • Observational Study

MeSH terms

  • Adolescent
  • Adult
  • After-Hours Care / statistics & numerical data
  • Aged
  • Child
  • Child, Preschool
  • Emergency Service, Hospital / standards
  • Emergency Service, Hospital / statistics & numerical data*
  • Female
  • Hospitalization / statistics & numerical data
  • Humans
  • Infant
  • Male
  • Middle Aged
  • Norway
  • Patient Admission / statistics & numerical data*
  • Prospective Studies
  • Referral and Consultation / standards
  • Referral and Consultation / statistics & numerical data*
  • Young Adult