TY - JOUR
T1 - Feasibility of a continuous, multi-sensor remote health monitoring approach in persons living with neurodegenerative disease
AU - Godkin, F. Elizabeth
AU - Turner, Erin
AU - Demnati, Youness
AU - Vert, Adam
AU - Roberts, Angela
AU - Swartz, Richard H.
AU - McLaughlin, Paula M.
AU - Weber, Kyle S.
AU - Thai, Vanessa
AU - Beyer, Kit B.
AU - Cornish, Benjamin
AU - Abrahao, Agessandro
AU - Black, Sandra E.
AU - Masellis, Mario
AU - Zinman, Lorne
AU - Beaton, Derek
AU - Binns, Malcolm A.
AU - Chau, Vivian
AU - Kwan, Donna
AU - Lim, Andrew
AU - Munoz, Douglas P.
AU - Strother, Stephen C.
AU - Sunderland, Kelly M.
AU - Tan, Brian
AU - McIlroy, William E.
AU - Van Ooteghem, Karen
N1 - Funding Information:
This research was conducted with the support of the Ontario Brain Institute, an independent non-profit corporation, funded partially by the Ontario government. The opinions, results, and conclusions are those of the authors and no endorsement by the Ontario Brain Institute is intended or should be inferred.
Publisher Copyright:
© 2021, Crown.
PY - 2022/5
Y1 - 2022/5
N2 - 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.
AB - 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.
KW - Adherence
KW - Cerebrovascular disease
KW - Neurodegenerative disease
KW - Remote monitoring
KW - User acceptance
KW - Wearable sensors
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U2 - 10.1007/s00415-021-10831-z
DO - 10.1007/s00415-021-10831-z
M3 - Article
C2 - 34705114
AN - SCOPUS:85117906254
SN - 0340-5354
VL - 269
SP - 2673
EP - 2686
JO - Deutsche Zeitschrift fur Nervenheilkunde
JF - Deutsche Zeitschrift fur Nervenheilkunde
IS - 5
ER -