Waddell Kimberly J, Patel Mitesh S, Wilkinson Jayne R, Burke Robert E, Bravata Dawn M, Koganti Sreelatha, Wood Stephanie, Morley James F
Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA.
Department of Physical Medicine and Rehabilitation, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Arch Rehabil Res Clin Transl. 2022 Dec 5;5(1):100250. doi: 10.1016/j.arrct.2022.100250. eCollection 2023 Mar.
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.
Thirty-day observational study. Participants completed standardized assessments, connected a wearable device, and synced daily step counts via a remote monitoring platform.
Community-based remote monitoring.
Rurally residing adults with PD or stroke enrolled in the Veterans Health Administration.
N/A.
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.
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]).
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.
本试点研究的目的是检验远程身体活动监测项目的可行性，量化基线活动水平，并研究农村地区帕金森病（PD）或中风成年患者活动的预测因素。
为期30天的观察性研究。参与者完成标准化评估，连接可穿戴设备，并通过远程监测平台同步每日步数。
基于社区的远程监测。
退伍军人健康管理局登记的农村地区患有PD或中风的成年患者。
无。
使用招募数据（回复率）、研究完成情况（完成评估并连接可穿戴设备）和设备依从性（记录步数≥100步的天数）评估可行性。对每日步数进行描述性分析。在整个样本中，然后按诊断情况，使用线性混合效应回归分析探索每日步数的预测因素。
40名参与者（n = 20名PD患者；n = 20名中风患者）纳入分析，平均（标准差）年龄为72.9（7.6）岁。参与者居住在距离协调地点252.6（105.6）英里处。招募回复率分别为11%（PD患者）和6%（中风患者）。研究完成率分别为PD患者71%，中风患者80%。设备依从率分别为97.（PD患者）和95.2%（中风患者）。PD患者每天的步数中位数[四分位间距]为2618[3896]步，中风患者为4832[7383]步。年龄是整个样本每日步数的唯一显著预测因素（-265步，95%置信区间[-407，-123]），按诊断情况也是如此（PD患者，-175步，[-335，-1];中风患者，-357步[-603，-112]）。
针对农村地区患有PD或中风的个体的远程身体活动监测项目是可行的。本研究为从中央协调地点为农村地区患有神经系统疾病的老年人群建立一个可扩展的身体活动项目建立了一个模型。
