Strategies to identify medical patients suitable for management through Same Day Emergency Care Services: A Systematic Review.

acute medicine admission pathways same day emergency care scoring

Journal

Clinical medicine (London, England)
ISSN: 1473-4893
Titre abrégé: Clin Med (Lond)
Pays: England
ID NLM: 101092853

Informations de publication

Date de publication:
19 Jul 2024
Historique:
received: 20 03 2024
revised: 16 07 2024
accepted: 16 07 2024
medline: 22 7 2024
pubmed: 22 7 2024
entrez: 21 7 2024
Statut: aheadofprint

Résumé

Same Day Emergency Care (SDEC) in unplanned and emergency care is an NHSE priority. Optimal use of these services requires rapid identification of suitable patients. NHSE suggests the use of one tool for this purpose. This systematic review compares studies which evaluate the performance of selection tools for SDEC pathways. Nine studies met the inclusion criteria. Three scores were evaluated: the Amb score (7 studies), Glasgow Admission Prediction Score (GAPS)(6 studies) and Sydney Triage to Admission Risk Tool (START)(2 studies). There was heterogeneity in the populations assessed, exclusion criteria used, and definitions used for SDEC suitability, with proportions of patients deemed 'suitable' for SDEC ranging from 20-80%. Reported score sensitivity and specificity ranged between 18-99% and 10-89%. Score performance could not be compared due to heterogeneity between studies. No studies assessed clinical implementation. The current evidence to support the use of a specific tool for SDEC is limited and requires further evaluation.

Identifiants

pubmed: 39033821
pii: S1470-2118(24)05415-0
doi: 10.1016/j.clinme.2024.100230
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

100230

Informations de copyright

Copyright © 2024. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Catherine Atkin (C)

Birmingham Acute Care Research Group, Institute of Inflammation and Ageing, University of Birmingham, Birmingham B15 2GW, UK; Department of Acute Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham B15 2GW, UK. Electronic address: c.e.atkin@bham.ac.uk.

Rhea Khosla (R)

The Medical School, University of Birmingham, Edgbaston, Birmingham.

John Belsham (J)

Department of Acute Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham B15 2GW, UK.

Hannah Hegarty (H)

Department of Acute Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham B15 2GW, UK.

Cait Hennessy (C)

Department of Acute Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham B15 2GW, UK.

Elizabeth Sapey (E)

Birmingham Acute Care Research Group, Institute of Inflammation and Ageing, University of Birmingham, Birmingham B15 2GW, UK; Department of Acute Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham B15 2GW, UK.

Classifications MeSH