Feasibility of a continuous, multi-sensor remote health monitoring approach in persons living with neurodegenerative disease.

Autor: Godkin FE; Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada., Turner E; Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada., Demnati Y; Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada., Vert A; Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada., Roberts A; School of Communication Sciences and Disorders, Elborn College, Western University, London, ON, Canada.; Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA., Swartz RH; Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.; Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada., McLaughlin PM; Nova Scotia Health Authority, Halifax, NS, Canada., Weber KS; Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada., Thai V; Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada., Beyer KB; Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada., Cornish B; Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada., Abrahao A; Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.; Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada., Black SE; Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.; Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada., Masellis M; Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.; Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada., Zinman L; Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.; Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada., Beaton D; Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada., Binns MA; Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada.; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada., Chau V; Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada., Kwan D; Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada., Lim A; Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.; Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada., Munoz DP; Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada., Strother SC; Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada.; Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada., Sunderland KM; Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada., Tan B; Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada., McIlroy WE; Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada., Van Ooteghem K; Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada. kvanooteghem@uwaterloo.ca.
Jazyk: angličtina
Zdroj: Journal of neurology [J Neurol] 2022 May; Vol. 269 (5), pp. 2673-2686. Date of Electronic Publication: 2021 Oct 27.
DOI: 10.1007/s00415-021-10831-z
Abstrakt: Background: Remote health monitoring with wearable sensor technology may positively impact patient self-management and clinical care. In individuals with complex health conditions, multi-sensor wear may yield meaningful information about health-related behaviors. Despite available technology, feasibility of device-wearing in daily life has received little attention in persons with physical or cognitive limitations. This mixed methods study assessed the feasibility of continuous, multi-sensor wear in persons with cerebrovascular (CVD) or neurodegenerative disease (NDD).
Methods: Thirty-nine participants with CVD, Alzheimer's disease/amnestic mild cognitive impairment, frontotemporal dementia, Parkinson's disease, or amyotrophic lateral sclerosis (median age 68 (45-83) years, 36% female) wore five devices (bilateral ankles and wrists, chest) continuously for a 7-day period. Adherence to device wearing was quantified by examining volume and pattern of device removal (non-wear). A thematic analysis of semi-structured de-brief interviews with participants and study partners was used to examine user acceptance.
Results: Adherence to multi-sensor wear, defined as a minimum of three devices worn concurrently, was high (median 98.2% of the study period). Non-wear rates were low across all sensor locations (median 17-22 min/day), with significant differences between some locations (p = 0.006). Multi-sensor non-wear was higher for daytime versus nighttime wear (p < 0.001) and there was a small but significant increase in non-wear over the collection period (p = 0.04). Feedback from de-brief interviews suggested that multi-sensor wear was generally well accepted by both participants and study partners.
Conclusion: A continuous, multi-sensor remote health monitoring approach is feasible in a cohort of persons with CVD or NDD.
(© 2021. Crown.)
Databáze: MEDLINE
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