What factors predict ambulance prealerts to the emergency department? Retrospective observational study from three UK ambulance services

Pilbery, R. orcid.org/0000-0002-5797-9788, Sampson, F.C. orcid.org/0000-0003-2321-0302, Herbert, E. orcid.org/0000-0002-1224-5457 et al. (14 more authors) (2025) What factors predict ambulance prealerts to the emergency department? Retrospective observational study from three UK ambulance services. BMJ Open, 15 (3). e097122. ISSN 2044-6055

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Item Type: Article
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© Author(s) (or their employer(s)) 2025. Re-use permitted under CC BY. Published by BMJ Group. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.

Keywords: Accident & Emergency Medicine; Emergency Departments; Statistics & Research Methods; Humans; Retrospective Studies; Ambulances; Emergency Service, Hospital; Male; Female; United Kingdom; Middle Aged; Aged; Adult; Triage; Logistic Models; Young Adult; Adolescent; Aged, 80 and over
Dates:
  • Published: March 2025
  • Published (online): 7 March 2025
  • Accepted: 20 February 2025
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health
Funding Information:
Funder
Grant number
NIHR Evaluation Trials and Studies Coordinating Centre
NIHR131293
Depositing User: Symplectic Sheffield
Date Deposited: 14 Mar 2025 11:53
Last Modified: 14 Mar 2025 11:53
Status: Published
Publisher: BMJ
Refereed: Yes
Identification Number: 10.1136/bmjopen-2024-097122
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Open Archives Initiative ID (OAI ID):

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