Identifying Subgroups of Frequent Emergency Department Users:A Latent Class Analysis with Linked Healthcare Utilisation, Cost, and Mortality Outcomes in the UK

Mattock, Richard, Bojke, Chris, Relton, Samuel D et al. (12 more authors) (2026) Identifying Subgroups of Frequent Emergency Department Users:A Latent Class Analysis with Linked Healthcare Utilisation, Cost, and Mortality Outcomes in the UK. BMJ Public Health. e003920. ISSN: 2753-4294

Metadata

Item Type: Article
Authors/Creators:
  • Mattock, Richard
  • Bojke, Chris
  • Relton, Samuel D
  • Kumar, Akshay
  • Burton, Chris
  • Mason, Suzanne
  • Saraiva, Sonia
  • West, Robert
  • Lee, William
  • VAN DER FELTZ-CORNELIS, CHRISTINA MARIA ORCID logo https://orcid.org/0000-0001-6925-8956
  • Marshall, Catriona
  • Pilkington, Gerlinde
  • Ariss, Steven
  • Dykes, Steven
  • Guthrie, Elspeth
Copyright, Publisher and Additional Information:

© Author(s) (or their employer(s)) 2026. This has now been published.
Dates:
  • Accepted: 9 January 2026
  • Published: 16 February 2026
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Health Sciences (York)
Date Deposited: 28 Jan 2026 12:00
Last Modified: 13 Mar 2026 16:00
Published Version: https://doi.org/10.1136/ bmjph-2025-003920
Status: Published
Refereed: Yes
Identification Number: 10.1136/ bmjph-2025-003920
Open Archives Initiative ID (OAI ID):

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Filename: e003920.full.pdf

Description: Identifying subgroups of frequent emergency department users: a latent class analysis with linked healthcare utilisation, cost and mortality outcomes in the UK

Licence: CC-BY 2.5

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