Cargando…

Effectiveness of the Wearable Sensor-based Ambient Intelligent Geriatric Management (AmbIGeM) System in Preventing Falls in Older People in Hospitals

BACKGROUND: The Ambient Intelligent Geriatric Management (AmbIGeM) system augments best practice and involves a novel wearable sensor (accelerometer and gyroscope) worn by patients where the data captured by the sensor are interpreted by algorithms to trigger alerts on clinician handheld mobile devi...

Descripción completa

Detalles Bibliográficos
Autores principales: Visvanathan, Renuka, Ranasinghe, Damith C, Lange, Kylie, Wilson, Anne, Dollard, Joanne, Boyle, Eileen, Jones, Katherine, Chesser, Michael, Ingram, Katharine, Hoskins, Stephen, Pham, Clarabelle, Karnon, Jonathan, Hill, Keith D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8751806/
https://www.ncbi.nlm.nih.gov/pubmed/34153102
http://dx.doi.org/10.1093/gerona/glab174
_version_ 1784631754166894592
author Visvanathan, Renuka
Ranasinghe, Damith C
Lange, Kylie
Wilson, Anne
Dollard, Joanne
Boyle, Eileen
Jones, Katherine
Chesser, Michael
Ingram, Katharine
Hoskins, Stephen
Pham, Clarabelle
Karnon, Jonathan
Hill, Keith D
author_facet Visvanathan, Renuka
Ranasinghe, Damith C
Lange, Kylie
Wilson, Anne
Dollard, Joanne
Boyle, Eileen
Jones, Katherine
Chesser, Michael
Ingram, Katharine
Hoskins, Stephen
Pham, Clarabelle
Karnon, Jonathan
Hill, Keith D
author_sort Visvanathan, Renuka
collection PubMed
description BACKGROUND: The Ambient Intelligent Geriatric Management (AmbIGeM) system augments best practice and involves a novel wearable sensor (accelerometer and gyroscope) worn by patients where the data captured by the sensor are interpreted by algorithms to trigger alerts on clinician handheld mobile devices when risk movements are detected. METHODS: A 3-cluster stepped-wedge pragmatic trial investigating the effect on the primary outcome of falls rate and secondary outcome of injurious fall and proportion of fallers. Three wards across 2 states were included. Patients aged ≥65 years were eligible. Patients requiring palliative care were excluded. The trial was registered with the Australia and New Zealand Clinical Trials registry, number 12617000981325. RESULTS: A total of 4924 older patients were admitted to the study wards with 1076 excluded and 3240 (1995 control, 1245 intervention) enrolled. The median proportion of study duration with valid readings per patient was 49% ((interquartile range [IQR] 25%-67%)). There was no significant difference between intervention and control relating to the falls rate (adjusted rate ratio = 1.41, 95% confidence interval [0.85, 2.34]; p = .192), proportion of fallers (odds ratio = 1.54, 95% confidence interval [0.91, 2.61]; p = .105), and injurious falls rate (adjusted rate ratio = 0.90, 95% confidence interval [0.38, 2.14]; p = .807). In a post hoc analysis, falls and injurious falls rate were reduced in the Geriatric Evaluation and Management Unit wards when the intervention period was compared to the control period. CONCLUSIONS: The AmbIGeM system did not reduce the rate of falls, rate of injurious falls, or proportion of fallers. There remains a case for further exploration and refinement of this technology given the post hoc analysis findings with the Geriatric Evaluation and Management Unit wards. Clinical Trials Registration Number: 12617000981325
format Online
Article
Text
id pubmed-8751806
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-87518062022-01-12 Effectiveness of the Wearable Sensor-based Ambient Intelligent Geriatric Management (AmbIGeM) System in Preventing Falls in Older People in Hospitals Visvanathan, Renuka Ranasinghe, Damith C Lange, Kylie Wilson, Anne Dollard, Joanne Boyle, Eileen Jones, Katherine Chesser, Michael Ingram, Katharine Hoskins, Stephen Pham, Clarabelle Karnon, Jonathan Hill, Keith D J Gerontol A Biol Sci Med Sci THE JOURNAL OF GERONTOLOGY: Medical Sciences BACKGROUND: The Ambient Intelligent Geriatric Management (AmbIGeM) system augments best practice and involves a novel wearable sensor (accelerometer and gyroscope) worn by patients where the data captured by the sensor are interpreted by algorithms to trigger alerts on clinician handheld mobile devices when risk movements are detected. METHODS: A 3-cluster stepped-wedge pragmatic trial investigating the effect on the primary outcome of falls rate and secondary outcome of injurious fall and proportion of fallers. Three wards across 2 states were included. Patients aged ≥65 years were eligible. Patients requiring palliative care were excluded. The trial was registered with the Australia and New Zealand Clinical Trials registry, number 12617000981325. RESULTS: A total of 4924 older patients were admitted to the study wards with 1076 excluded and 3240 (1995 control, 1245 intervention) enrolled. The median proportion of study duration with valid readings per patient was 49% ((interquartile range [IQR] 25%-67%)). There was no significant difference between intervention and control relating to the falls rate (adjusted rate ratio = 1.41, 95% confidence interval [0.85, 2.34]; p = .192), proportion of fallers (odds ratio = 1.54, 95% confidence interval [0.91, 2.61]; p = .105), and injurious falls rate (adjusted rate ratio = 0.90, 95% confidence interval [0.38, 2.14]; p = .807). In a post hoc analysis, falls and injurious falls rate were reduced in the Geriatric Evaluation and Management Unit wards when the intervention period was compared to the control period. CONCLUSIONS: The AmbIGeM system did not reduce the rate of falls, rate of injurious falls, or proportion of fallers. There remains a case for further exploration and refinement of this technology given the post hoc analysis findings with the Geriatric Evaluation and Management Unit wards. Clinical Trials Registration Number: 12617000981325 Oxford University Press 2021-06-21 /pmc/articles/PMC8751806/ /pubmed/34153102 http://dx.doi.org/10.1093/gerona/glab174 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle THE JOURNAL OF GERONTOLOGY: Medical Sciences
Visvanathan, Renuka
Ranasinghe, Damith C
Lange, Kylie
Wilson, Anne
Dollard, Joanne
Boyle, Eileen
Jones, Katherine
Chesser, Michael
Ingram, Katharine
Hoskins, Stephen
Pham, Clarabelle
Karnon, Jonathan
Hill, Keith D
Effectiveness of the Wearable Sensor-based Ambient Intelligent Geriatric Management (AmbIGeM) System in Preventing Falls in Older People in Hospitals
title Effectiveness of the Wearable Sensor-based Ambient Intelligent Geriatric Management (AmbIGeM) System in Preventing Falls in Older People in Hospitals
title_full Effectiveness of the Wearable Sensor-based Ambient Intelligent Geriatric Management (AmbIGeM) System in Preventing Falls in Older People in Hospitals
title_fullStr Effectiveness of the Wearable Sensor-based Ambient Intelligent Geriatric Management (AmbIGeM) System in Preventing Falls in Older People in Hospitals
title_full_unstemmed Effectiveness of the Wearable Sensor-based Ambient Intelligent Geriatric Management (AmbIGeM) System in Preventing Falls in Older People in Hospitals
title_short Effectiveness of the Wearable Sensor-based Ambient Intelligent Geriatric Management (AmbIGeM) System in Preventing Falls in Older People in Hospitals
title_sort effectiveness of the wearable sensor-based ambient intelligent geriatric management (ambigem) system in preventing falls in older people in hospitals
topic THE JOURNAL OF GERONTOLOGY: Medical Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8751806/
https://www.ncbi.nlm.nih.gov/pubmed/34153102
http://dx.doi.org/10.1093/gerona/glab174
work_keys_str_mv AT visvanathanrenuka effectivenessofthewearablesensorbasedambientintelligentgeriatricmanagementambigemsysteminpreventingfallsinolderpeopleinhospitals
AT ranasinghedamithc effectivenessofthewearablesensorbasedambientintelligentgeriatricmanagementambigemsysteminpreventingfallsinolderpeopleinhospitals
AT langekylie effectivenessofthewearablesensorbasedambientintelligentgeriatricmanagementambigemsysteminpreventingfallsinolderpeopleinhospitals
AT wilsonanne effectivenessofthewearablesensorbasedambientintelligentgeriatricmanagementambigemsysteminpreventingfallsinolderpeopleinhospitals
AT dollardjoanne effectivenessofthewearablesensorbasedambientintelligentgeriatricmanagementambigemsysteminpreventingfallsinolderpeopleinhospitals
AT boyleeileen effectivenessofthewearablesensorbasedambientintelligentgeriatricmanagementambigemsysteminpreventingfallsinolderpeopleinhospitals
AT joneskatherine effectivenessofthewearablesensorbasedambientintelligentgeriatricmanagementambigemsysteminpreventingfallsinolderpeopleinhospitals
AT chessermichael effectivenessofthewearablesensorbasedambientintelligentgeriatricmanagementambigemsysteminpreventingfallsinolderpeopleinhospitals
AT ingramkatharine effectivenessofthewearablesensorbasedambientintelligentgeriatricmanagementambigemsysteminpreventingfallsinolderpeopleinhospitals
AT hoskinsstephen effectivenessofthewearablesensorbasedambientintelligentgeriatricmanagementambigemsysteminpreventingfallsinolderpeopleinhospitals
AT phamclarabelle effectivenessofthewearablesensorbasedambientintelligentgeriatricmanagementambigemsysteminpreventingfallsinolderpeopleinhospitals
AT karnonjonathan effectivenessofthewearablesensorbasedambientintelligentgeriatricmanagementambigemsysteminpreventingfallsinolderpeopleinhospitals
AT hillkeithd effectivenessofthewearablesensorbasedambientintelligentgeriatricmanagementambigemsysteminpreventingfallsinolderpeopleinhospitals