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Using home monitoring technology to study the effects of traumatic brain injury on older multimorbid adults: protocol for a feasibility study

INTRODUCTION: The prevalence of traumatic brain injury (TBI) among older adults is increasing exponentially. The sequelae can be severe in older adults and interact with age-related conditions such as multimorbidity. Despite this, TBI research in older adults is sparse. Minder, an in-home monitoring...

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Autores principales: Parkinson, Megan E, Dani, Melanie, Fertleman, Michael, Soreq, Eyal, Barnaghi, Payam, Sharp, David J, Li, Lucia M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10230906/
https://www.ncbi.nlm.nih.gov/pubmed/37217265
http://dx.doi.org/10.1136/bmjopen-2022-068756
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author Parkinson, Megan E
Dani, Melanie
Fertleman, Michael
Soreq, Eyal
Barnaghi, Payam
Sharp, David J
Li, Lucia M
author_facet Parkinson, Megan E
Dani, Melanie
Fertleman, Michael
Soreq, Eyal
Barnaghi, Payam
Sharp, David J
Li, Lucia M
author_sort Parkinson, Megan E
collection PubMed
description INTRODUCTION: The prevalence of traumatic brain injury (TBI) among older adults is increasing exponentially. The sequelae can be severe in older adults and interact with age-related conditions such as multimorbidity. Despite this, TBI research in older adults is sparse. Minder, an in-home monitoring system developed by the UK Dementia Research Institute Centre for Care Research and Technology, uses infrared sensors and a bed mat to passively collect sleep and activity data. Similar systems have been used to monitor the health of older adults living with dementia. We will assess the feasibility of using this system to study changes in the health status of older adults in the early period post-TBI. METHODS AND ANALYSIS: The study will recruit 15 inpatients (>60 years) with a moderate-severe TBI, who will have their daily activity and sleep patterns monitored using passive and wearable sensors over 6 months. Participants will report on their health during weekly calls, which will be used to validate sensor data. Physical, functional and cognitive assessments will be conducted across the duration of the study. Activity levels and sleep patterns derived from sensor data will be calculated and visualised using activity maps. Within-participant analysis will be performed to determine if participants are deviating from their own routines. We will apply machine learning approaches to activity and sleep data to assess whether the changes in these data can predict clinical events. Qualitative analysis of interviews conducted with participants, carers and clinical staff will assess acceptability and utility of the system. ETHICS AND DISSEMINATION: Ethical approval for this study has been granted by the London-Camberwell St Giles Research Ethics Committee (REC) (REC number: 17/LO/2066). Results will be submitted for publication in peer-reviewed journals, presented at conferences and inform the design of a larger trial assessing recovery after TBI.
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spelling pubmed-102309062023-06-01 Using home monitoring technology to study the effects of traumatic brain injury on older multimorbid adults: protocol for a feasibility study Parkinson, Megan E Dani, Melanie Fertleman, Michael Soreq, Eyal Barnaghi, Payam Sharp, David J Li, Lucia M BMJ Open Patient-Centred Medicine INTRODUCTION: The prevalence of traumatic brain injury (TBI) among older adults is increasing exponentially. The sequelae can be severe in older adults and interact with age-related conditions such as multimorbidity. Despite this, TBI research in older adults is sparse. Minder, an in-home monitoring system developed by the UK Dementia Research Institute Centre for Care Research and Technology, uses infrared sensors and a bed mat to passively collect sleep and activity data. Similar systems have been used to monitor the health of older adults living with dementia. We will assess the feasibility of using this system to study changes in the health status of older adults in the early period post-TBI. METHODS AND ANALYSIS: The study will recruit 15 inpatients (>60 years) with a moderate-severe TBI, who will have their daily activity and sleep patterns monitored using passive and wearable sensors over 6 months. Participants will report on their health during weekly calls, which will be used to validate sensor data. Physical, functional and cognitive assessments will be conducted across the duration of the study. Activity levels and sleep patterns derived from sensor data will be calculated and visualised using activity maps. Within-participant analysis will be performed to determine if participants are deviating from their own routines. We will apply machine learning approaches to activity and sleep data to assess whether the changes in these data can predict clinical events. Qualitative analysis of interviews conducted with participants, carers and clinical staff will assess acceptability and utility of the system. ETHICS AND DISSEMINATION: Ethical approval for this study has been granted by the London-Camberwell St Giles Research Ethics Committee (REC) (REC number: 17/LO/2066). Results will be submitted for publication in peer-reviewed journals, presented at conferences and inform the design of a larger trial assessing recovery after TBI. BMJ Publishing Group 2023-05-22 /pmc/articles/PMC10230906/ /pubmed/37217265 http://dx.doi.org/10.1136/bmjopen-2022-068756 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Patient-Centred Medicine
Parkinson, Megan E
Dani, Melanie
Fertleman, Michael
Soreq, Eyal
Barnaghi, Payam
Sharp, David J
Li, Lucia M
Using home monitoring technology to study the effects of traumatic brain injury on older multimorbid adults: protocol for a feasibility study
title Using home monitoring technology to study the effects of traumatic brain injury on older multimorbid adults: protocol for a feasibility study
title_full Using home monitoring technology to study the effects of traumatic brain injury on older multimorbid adults: protocol for a feasibility study
title_fullStr Using home monitoring technology to study the effects of traumatic brain injury on older multimorbid adults: protocol for a feasibility study
title_full_unstemmed Using home monitoring technology to study the effects of traumatic brain injury on older multimorbid adults: protocol for a feasibility study
title_short Using home monitoring technology to study the effects of traumatic brain injury on older multimorbid adults: protocol for a feasibility study
title_sort using home monitoring technology to study the effects of traumatic brain injury on older multimorbid adults: protocol for a feasibility study
topic Patient-Centred Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10230906/
https://www.ncbi.nlm.nih.gov/pubmed/37217265
http://dx.doi.org/10.1136/bmjopen-2022-068756
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