Literature DB >> 29084730

Calculating the proportion of avoidable attendances at UK emergency departments: analysis of the Royal College of Emergency Medicine's Sentinel Site Survey data.

Toby Morris1, Suzanne M Mason2, Chris Moulton3, Colin O'Keeffe2.   

Abstract

INTRODUCTION: Avoidable attendances (AAs; defined as non-urgent, self-referred patients who could be managed more effectively and efficiently by other services) have been identified as a contributor to ED crowding. Internationally, AAs have been estimated to constitute 10%-90% of ED attendances, with the UK 2013 Urgent and Emergency Care Review suggesting a figure of 40%.
METHODS: This pilot study used data from the Royal College of Emergency Medicine's Sentinel Site Survey to estimate the proportion of AAs in 12 EDs across England on a standard day (20 March 2014). AAs were defined by an expert panel using questions from the survey. All patients attending the EDs were recorded with details of investigations and treatments received, and the proportion of patients meeting criteria for AA was calculated.
RESULTS: Visits for 3044 patients were included. Based on these criteria, a mean of 19.4% (95% CI 18.0% to 20.8%) of attendances could be deemed avoidable. The lowest proportion of AAs reported was 10.7%, while the highest was 44.3%. Younger age was a significant predictor of AA with mean age of 38.6 years for all patients attending compared with 24.6 years for patients attending avoidably (p≤0.001). DISCUSSION: The proportion of AAs in this study was lower than many estimates in the literature, including that reported by the 2013 Urgent and Emergency Care Review. This suggests the ED is the most appropriate healthcare setting for many patients due to comprehensive investigations, treatments and capability for urgent referrals.The proportion of AAs is dependent on the defining criteria used, highlighting the need for a standardised, universal definition of an appropriate/avoidable ED attendance. This is essential to understanding how AAs contribute to the overall issue of crowding. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  Crowding; emergency department management

Mesh:

Year:  2017        PMID: 29084730     DOI: 10.1136/emermed-2017-206846

Source DB:  PubMed          Journal:  Emerg Med J        ISSN: 1472-0205            Impact factor:   2.740


  8 in total

1.  Are more experienced clinicians better able to tolerate uncertainty and manage risks? A vignette study of doctors in three NHS emergency departments in England.

Authors:  Rebecca Lawton; Olivia Robinson; Rebecca Harrison; Suzanne Mason; Mark Conner; Brad Wilson
Journal:  BMJ Qual Saf       Date:  2019-02-06       Impact factor: 7.035

2.  What determines diagnostic resource consumption in emergency medicine: patients, physicians or context?

Authors:  Wolf E Hautz; Thomas C Sauter; Stephanie C Hautz; Juliane E Kämmer; Stefan K Schauber; Tanja Birrenbach; Aristomenis K Exadaktylos; Stephanie Stock; Martin Müller
Journal:  Emerg Med J       Date:  2020-07-09       Impact factor: 2.740

3.  An emergency department optimized protocol for qualitative research to investigate care seeking by patients with non-urgent conditions.

Authors:  Piers Truter; Dale Edgar; David Mountain; Caroline Bulsara
Journal:  Nurs Open       Date:  2020-10-23

4.  Management of non-urgent paediatric emergency department attendances by GPs: a retrospective observational study.

Authors:  Simon Leigh; Bimal Mehta; Lillian Dummer; Harriet Aird; Sinead McSorley; Venessa Oseyenum; Anna Cumbers; Mary Ryan; Karl Edwardson; Phil Johnston; Jude Robinson; Frans Coenen; David Taylor-Robinson; Louis W Niessen; Enitan D Carrol
Journal:  Br J Gen Pract       Date:  2020-12-28       Impact factor: 5.386

5.  Non-emergent care visits in a turkish tertiary care emergency department after 2008 health policy changes: review and analysis.

Authors:  Cihad Dundar; Seydanur Dal Yaylaoglu
Journal:  Arch Public Health       Date:  2022-01-17

6.  The "better data, better planning" census: a cross-sectional, multi-centre study investigating the factors influencing patient attendance at the emergency department in Ireland.

Authors:  Niamh M Cummins; Louise A Barry; Carrie Garavan; Collette Devlin; Gillian Corey; Fergal Cummins; Damien Ryan; Sinead Cronin; Emma Wallace; Gerard McCarthy; Rose Galvin
Journal:  BMC Health Serv Res       Date:  2022-04-09       Impact factor: 2.655

7.  Do general practitioners working in or alongside the emergency department improve clinical outcomes or experience? A mixed-methods study.

Authors:  Arabella Scantlebury; Joy Adamson; Chris Salisbury; Heather Brant; Helen Anderson; Helen Baxter; Karen Bloor; Sean Cowlishaw; Tim Doran; James Gaughan; Andy Gibson; Nils Gutacker; Heather Leggett; Sarah Purdy; Sarah Voss; Jonathan Richard Benger
Journal:  BMJ Open       Date:  2022-09-20       Impact factor: 3.006

8.  Paramedics' perceptions of the care they provide to people who self-harm: A qualitative study using evolved grounded theory methodology.

Authors:  Nigel Rees; Alison Porter; Frances Rapport; Sarah Hughes; Ann John
Journal:  PLoS One       Date:  2018-10-17       Impact factor: 3.240

  8 in total

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