REFINE (REducing Falls in In-patieNt Elderly) using bed and bedside chair pressure sensors linked to radio-pagers in acute hospital care: a randomised controlled trial
REFINE (REducing Falls in In-patieNt Elderly) using bed and bedside chair pressure sensors linked to radio-pagers in acute hospital care: a randomised controlled trial
Background: falls in hospitals are a major problem and contribute to substantial healthcare burden. Advances in sensor technology afford innovative approaches to reducing falls in acute hospital care. However, whether these are clinically effective and cost effective in the UK setting has not been evaluated.
Methods: pragmatic, parallel-arm, individual randomised controlled trial of bed and bedside chair pressure sensors using radio-pagers (intervention group) compared with standard care (control group) in elderly patients admitted to acute, general medical wards, in a large UK teaching hospital. Primary outcome measure number of in-patient bedside falls per 1,000 bed days.
Results: 1,839 participants were randomised (918 to the intervention group and 921 to the control group). There were 85 bedside falls (65 fallers) in the intervention group, falls rate 8.71 per 1,000 bed days compared with 83 bedside falls (64 fallers) in the control group, falls rate 9.84 per 1,000 bed days (adjusted incidence rate ratio, 0.90; 95% confidence interval [CI], 0.66-1.22; P = 0.51). There was no significant difference between the two groups with respect to time to first bedside fall (adjusted hazard ratio (HR), 0.95; 95% CI: 0.67-1.34; P= 0.12). The mean cost per patient in the intervention group was £7199 compared with £6400 in the control group, mean difference in QALYs per patient, 0.0001 (95% CI: -0.0006-0.0004, P= 0.67).
Conclusions: bed and bedside chair pressure sensors as a single intervention strategy do not reduce in-patient bedside falls, time to first bedside fall and are not cost-effective in elderly patients in acute, general medical wards in the UK.
Trial registration: isrctn.org identifier: ISRCTN44972300.
Accidental Falls/economics, Aged, Aged, 80 and over, Beds/economics, Cost-Benefit Analysis, England/epidemiology, Equipment Design, Female, Hospital Costs, Hospitals, Teaching/economics, Humans, Incidence, Inpatients, Male, Middle Aged, Odds Ratio, Quality-Adjusted Life Years, Remote Sensing Technology/economics, Risk Factors, Time Factors, Transducers, Pressure/economics
247-253
Sahota, Opinder
1816e216-bea1-412c-948d-1c1ab8fdbc28
Drummond, Avril
559a0644-290a-4fcf-9781-0174f2553a8d
Kendrick, Denise
33ad9db9-6d98-4e87-a2ad-323b289e3a16
Grainge, Matthew J
083ac034-439e-448e-add2-3412046813a1
Vass, Catherine
4f6f59e4-0f23-4ad2-9a60-bbf9ba297afc
Sach, Tracey
5c09256f-ebed-4d14-853a-181f6c92d6f2
Gladman, John
89788999-01d4-4bd1-adb0-d96b68f2f270
Avis, Mark
ae63b058-2a7b-44fd-9760-ea84797fe197
March 2014
Sahota, Opinder
1816e216-bea1-412c-948d-1c1ab8fdbc28
Drummond, Avril
559a0644-290a-4fcf-9781-0174f2553a8d
Kendrick, Denise
33ad9db9-6d98-4e87-a2ad-323b289e3a16
Grainge, Matthew J
083ac034-439e-448e-add2-3412046813a1
Vass, Catherine
4f6f59e4-0f23-4ad2-9a60-bbf9ba297afc
Sach, Tracey
5c09256f-ebed-4d14-853a-181f6c92d6f2
Gladman, John
89788999-01d4-4bd1-adb0-d96b68f2f270
Avis, Mark
ae63b058-2a7b-44fd-9760-ea84797fe197
Sahota, Opinder, Drummond, Avril, Kendrick, Denise, Grainge, Matthew J, Vass, Catherine, Sach, Tracey, Gladman, John and Avis, Mark
(2014)
REFINE (REducing Falls in In-patieNt Elderly) using bed and bedside chair pressure sensors linked to radio-pagers in acute hospital care: a randomised controlled trial.
Age and Ageing, 43 (2), .
(doi:10.1093/ageing/aft155).
Abstract
Background: falls in hospitals are a major problem and contribute to substantial healthcare burden. Advances in sensor technology afford innovative approaches to reducing falls in acute hospital care. However, whether these are clinically effective and cost effective in the UK setting has not been evaluated.
Methods: pragmatic, parallel-arm, individual randomised controlled trial of bed and bedside chair pressure sensors using radio-pagers (intervention group) compared with standard care (control group) in elderly patients admitted to acute, general medical wards, in a large UK teaching hospital. Primary outcome measure number of in-patient bedside falls per 1,000 bed days.
Results: 1,839 participants were randomised (918 to the intervention group and 921 to the control group). There were 85 bedside falls (65 fallers) in the intervention group, falls rate 8.71 per 1,000 bed days compared with 83 bedside falls (64 fallers) in the control group, falls rate 9.84 per 1,000 bed days (adjusted incidence rate ratio, 0.90; 95% confidence interval [CI], 0.66-1.22; P = 0.51). There was no significant difference between the two groups with respect to time to first bedside fall (adjusted hazard ratio (HR), 0.95; 95% CI: 0.67-1.34; P= 0.12). The mean cost per patient in the intervention group was £7199 compared with £6400 in the control group, mean difference in QALYs per patient, 0.0001 (95% CI: -0.0006-0.0004, P= 0.67).
Conclusions: bed and bedside chair pressure sensors as a single intervention strategy do not reduce in-patient bedside falls, time to first bedside fall and are not cost-effective in elderly patients in acute, general medical wards in the UK.
Trial registration: isrctn.org identifier: ISRCTN44972300.
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More information
Accepted/In Press date: 26 July 2013
e-pub ahead of print date: 18 October 2013
Published date: March 2014
Keywords:
Accidental Falls/economics, Aged, Aged, 80 and over, Beds/economics, Cost-Benefit Analysis, England/epidemiology, Equipment Design, Female, Hospital Costs, Hospitals, Teaching/economics, Humans, Incidence, Inpatients, Male, Middle Aged, Odds Ratio, Quality-Adjusted Life Years, Remote Sensing Technology/economics, Risk Factors, Time Factors, Transducers, Pressure/economics
Identifiers
Local EPrints ID: 479321
URI: http://eprints.soton.ac.uk/id/eprint/479321
ISSN: 0002-0729
PURE UUID: a5af5b5e-c194-4fa1-b389-b692ad6a455b
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Date deposited: 20 Jul 2023 17:00
Last modified: 17 Mar 2024 04:19
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Contributors
Author:
Opinder Sahota
Author:
Avril Drummond
Author:
Denise Kendrick
Author:
Matthew J Grainge
Author:
Catherine Vass
Author:
Tracey Sach
Author:
John Gladman
Author:
Mark Avis
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