Development and external validation of the eFalls tool: a multivariable prediction model for the risk of ED attendance or hospitalisation with a fall or fracture in older adults

Archer, L., Relton, S.D. orcid.org/0000-0003-0634-4587, Akbari, A. et al. (14 more authors) (2024) Development and external validation of the eFalls tool: a multivariable prediction model for the risk of ED attendance or hospitalisation with a fall or fracture in older adults. Age and Ageing, 53 (3). afae057. ISSN 0002-0729

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© The Author(s) 2024. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: falls, prediction model, prognosis, proactive, prevention, older people
Dates:
  • Published: March 2024
  • Published (online): 22 March 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Health Sciences (Leeds) > Academic Unit of Elderly Care and Rehabilitation (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Health Sciences (Leeds) > Centre for Health Services Research (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Health Sciences (Leeds) > Academic Unit of Primary Care (Leeds)
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NIHR National Inst Health Research
NIHR127905
NIHR National Inst Health Research
R&D ARC M20086
Depositing User: Symplectic Publications
Date Deposited: 01 Nov 2024 09:56
Last Modified: 01 Nov 2024 09:56
Status: Published
Publisher: Oxford University Press
Identification Number: 10.1093/ageing/afae057
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