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Predicting falls and when to intervene in older people: a multilevel logistical regression model and cost analysis

Abstract:

INTRODUCTION:Falls are the leading cause of injury in older people. Reducing falls could reduce financial pressures on health services. We carried out this research to develop a falls risk model, using routine primary care and hospital data to identify those at risk of falls, and apply a cost analysis to enable commissioners of health services to identify those in whom savings can be made through referral to a falls prevention service. METHODS:Multilevel logistical regression was performed on...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Primary Care Health Sciences
Department:
Unknown
Role:
Author
ORCID:
0000-0002-8553-2641
Publisher:
Public Library of Science
Journal:
PloS one More from this journal
Volume:
11
Issue:
7
Pages:
e0159365
Publication date:
2016-07-22
Acceptance date:
2016-07-01
DOI:
EISSN:
1932-6203
Pmid:
27448280
Language:
English
Keywords:
Pubs id:
pubs:1013779
UUID:
uuid:1c2658d6-0a40-4188-9de7-c4d6e94e0044
Local pid:
pubs:1013779
Source identifiers:
1013779
Deposit date:
2019-11-04

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