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Deploying Digital Health Technologies for Remote Physical Activity Monitoring of Rural Populations With Chronic Neurologic Disease

OBJECTIVE: The objective of this pilot study was to examine the feasibility of a remote physical activity monitoring program, quantify baseline activity levels, and examine predictors of activity among rurally residing adults with Parkinson disease (PD) or stroke. DESIGN: Thirty-day observational st...

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Autores principales: Waddell, Kimberly J., Patel, Mitesh S., Wilkinson, Jayne R., Burke, Robert E., Bravata, Dawn M., Koganti, Sreelatha, Wood, Stephanie, Morley, James F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10036227/
https://www.ncbi.nlm.nih.gov/pubmed/36968173
http://dx.doi.org/10.1016/j.arrct.2022.100250
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author Waddell, Kimberly J.
Patel, Mitesh S.
Wilkinson, Jayne R.
Burke, Robert E.
Bravata, Dawn M.
Koganti, Sreelatha
Wood, Stephanie
Morley, James F.
author_facet Waddell, Kimberly J.
Patel, Mitesh S.
Wilkinson, Jayne R.
Burke, Robert E.
Bravata, Dawn M.
Koganti, Sreelatha
Wood, Stephanie
Morley, James F.
author_sort Waddell, Kimberly J.
collection PubMed
description OBJECTIVE: The objective of this pilot study was to examine the feasibility of a remote physical activity monitoring program, quantify baseline activity levels, and examine predictors of activity among rurally residing adults with Parkinson disease (PD) or stroke. DESIGN: Thirty-day observational study. Participants completed standardized assessments, connected a wearable device, and synced daily step counts via a remote monitoring platform. SETTING: Community-based remote monitoring. PARTICIPANTS: Rurally residing adults with PD or stroke enrolled in the Veterans Health Administration. INTERVENTION: N/A. MAIN OUTCOME MEASURES: Feasibility was evaluated using recruitment data (response rates), study completion (completed assessments and connected the wearable device), and device adherence (days recording ≥100 steps). Daily step counts were examined descriptively. Predictors of daily steps were explored across the full sample, then by diagnosis, using linear mixed-effects regression analyses. RESULTS: Forty participants (n=20 PD; n=20 stroke) were included in the analysis with a mean (SD) age of 72.9 (7.6) years. Participants resided 252.6 (105.6) miles from the coordinating site. Recruitment response rates were 11% (PD) and 6% (stroke). Study completion rates were 71% (PD) and 80% (stroke). Device adherence rates were 97.0% (PD) and 95.2% (stroke). Participants with PD achieved a median [interquartile range] of 2618 [3896] steps per day and participants with stroke achieved 4832 [7383] steps. Age was the only significant predictor of daily steps for the full sample (-265 steps, 95% confidence interval [-407, -123]) and by diagnosis (PD, -175 steps, [-335, -15]; stroke, -357 steps [-603, -112]). CONCLUSIONS: A remote physical activity monitoring program for rurally residing individuals with PD or stroke was feasible. This study establishes a model for a scalable physical activity program for rural, older populations with neurologic conditions from a central coordinating site.
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spelling pubmed-100362272023-03-25 Deploying Digital Health Technologies for Remote Physical Activity Monitoring of Rural Populations With Chronic Neurologic Disease Waddell, Kimberly J. Patel, Mitesh S. Wilkinson, Jayne R. Burke, Robert E. Bravata, Dawn M. Koganti, Sreelatha Wood, Stephanie Morley, James F. Arch Rehabil Res Clin Transl Original Research OBJECTIVE: The objective of this pilot study was to examine the feasibility of a remote physical activity monitoring program, quantify baseline activity levels, and examine predictors of activity among rurally residing adults with Parkinson disease (PD) or stroke. DESIGN: Thirty-day observational study. Participants completed standardized assessments, connected a wearable device, and synced daily step counts via a remote monitoring platform. SETTING: Community-based remote monitoring. PARTICIPANTS: Rurally residing adults with PD or stroke enrolled in the Veterans Health Administration. INTERVENTION: N/A. MAIN OUTCOME MEASURES: Feasibility was evaluated using recruitment data (response rates), study completion (completed assessments and connected the wearable device), and device adherence (days recording ≥100 steps). Daily step counts were examined descriptively. Predictors of daily steps were explored across the full sample, then by diagnosis, using linear mixed-effects regression analyses. RESULTS: Forty participants (n=20 PD; n=20 stroke) were included in the analysis with a mean (SD) age of 72.9 (7.6) years. Participants resided 252.6 (105.6) miles from the coordinating site. Recruitment response rates were 11% (PD) and 6% (stroke). Study completion rates were 71% (PD) and 80% (stroke). Device adherence rates were 97.0% (PD) and 95.2% (stroke). Participants with PD achieved a median [interquartile range] of 2618 [3896] steps per day and participants with stroke achieved 4832 [7383] steps. Age was the only significant predictor of daily steps for the full sample (-265 steps, 95% confidence interval [-407, -123]) and by diagnosis (PD, -175 steps, [-335, -15]; stroke, -357 steps [-603, -112]). CONCLUSIONS: A remote physical activity monitoring program for rurally residing individuals with PD or stroke was feasible. This study establishes a model for a scalable physical activity program for rural, older populations with neurologic conditions from a central coordinating site. Elsevier 2022-12-05 /pmc/articles/PMC10036227/ /pubmed/36968173 http://dx.doi.org/10.1016/j.arrct.2022.100250 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Research
Waddell, Kimberly J.
Patel, Mitesh S.
Wilkinson, Jayne R.
Burke, Robert E.
Bravata, Dawn M.
Koganti, Sreelatha
Wood, Stephanie
Morley, James F.
Deploying Digital Health Technologies for Remote Physical Activity Monitoring of Rural Populations With Chronic Neurologic Disease
title Deploying Digital Health Technologies for Remote Physical Activity Monitoring of Rural Populations With Chronic Neurologic Disease
title_full Deploying Digital Health Technologies for Remote Physical Activity Monitoring of Rural Populations With Chronic Neurologic Disease
title_fullStr Deploying Digital Health Technologies for Remote Physical Activity Monitoring of Rural Populations With Chronic Neurologic Disease
title_full_unstemmed Deploying Digital Health Technologies for Remote Physical Activity Monitoring of Rural Populations With Chronic Neurologic Disease
title_short Deploying Digital Health Technologies for Remote Physical Activity Monitoring of Rural Populations With Chronic Neurologic Disease
title_sort deploying digital health technologies for remote physical activity monitoring of rural populations with chronic neurologic disease
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10036227/
https://www.ncbi.nlm.nih.gov/pubmed/36968173
http://dx.doi.org/10.1016/j.arrct.2022.100250
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