The Value of Routinely Collected Data in Evaluating Home Assessment and Modification Interventions to Prevent Falls in Older People: Systematic Literature Review

Daniels, H., Hollinghurst, J., Fry, R. et al. (6 more authors) (Cover date: Apr-Jun) The Value of Routinely Collected Data in Evaluating Home Assessment and Modification Interventions to Prevent Falls in Older People: Systematic Literature Review. JMIR Aging, 4 (2). e24728. ISSN 2561-7605

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Item Type: Article
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© Helen Daniels, Joe Hollinghurst, Richard Fry, Andrew Clegg, Sarah Hillcoat-Nallétamby, Silviya Nikolova, Sarah E Rodgers, Neil Williams, Ashley Akbari. Originally published in JMIR Aging (https://aging.jmir.org), 23.04.2021. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Aging, is properly cited. The complete bibliographic information, a link to the original publication on http://aging.jmir.org, as well as this copyright and license information must be included.

Keywords: falls; aged; routinely collected data; evaluation research; systematic review
Dates:
  • Published: April 2021
  • Published (online): 23 April 2021
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) > Academic Unit of Health Economics (Leeds)
Funding Information:
Funder
Grant number
Dunhill Medical Trust
Not Known
Depositing User: Symplectic Publications
Date Deposited: 04 Nov 2024 16:54
Last Modified: 04 Nov 2024 16:54
Status: Published
Publisher: JMIR Publications
Identification Number: 10.2196/24728
Open Archives Initiative ID (OAI ID):

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