Understanding the distribution of A&E attendances and hospital admissions for the case managed population: A single case cross sectional study

Eloise Phillips, Sarahjane Jones, Jessica Runacres, Maxine Lintern, Mark Radford

Research output: Contribution to journalArticlepeer-review

Abstract

Aim To describe the characteristics of case-managed patients presenting at accident and emergency (A & E) and to explore the distribution of their attendances and admissions. Background Recently, the UK Government announced extended-hours primary care provision in an effort to reduce the growing utilization of A & E. No evidence is available to understand the use of acute services by this high-risk patient group. Method A cross-sectional design utilising routinely collected anonymsed A & E attendance and hospital admission data from 2010 to 2015. Results The case-managed population is typically 70 years and older and most often arrive at A & E via emergency services and during the night (00:00–08:59). A large proportion are subsequently admitted having a statistically significant A & E conversion rate. No variables were predictive of admission. Conclusion The high level of A&E conversion could indicate case-managed patients are presenting appropriately with acute clinical need. However, inadequate provision in primary-care could drive decisions for admitting vulnerable patients.
Original languageEnglish
Pages (from-to)24-29
JournalApplied Nursing Research
Volume33
Early online date7 Oct 2016
DOIs
Publication statusPublished - 1 Feb 2017

Bibliographical note

© 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords

  • Case Management
  • long-term conditions
  • Chronic Disease

Fingerprint

Dive into the research topics of 'Understanding the distribution of A&E attendances and hospital admissions for the case managed population: A single case cross sectional study'. Together they form a unique fingerprint.

Cite this