老年人使用智能手表对膝骨关节炎症状进行生态瞬时评估的满意度、可用性和依从性：可用性研究
Satisfaction, Usability, and Compliance With the Use of Smartwatches for Ecological Momentary Assessment of Knee Osteoarthritis Symptoms in Older Adults: Usability Study.
作者信息
Rouzaud Laborde Charlotte, Cenko Erta, Mardini Mamoun T, Nerella Subhash, Kheirkhahan Matin, Ranka Sanjay, Fillingim Roger B, Corbett Duane B, Weber Eric, Rashidi Parisa, Manini Todd
机构信息
Department of Pharmacy, University of Toulouse, Toulouse, France.
Department of Aging and Geriatric research, University of Florida, Gainesville, FL, United States.
出版信息
JMIR Aging. 2021 Jul 14;4(3):e24553. doi: 10.2196/24553.
BACKGROUND
Smartwatches enable physicians to monitor symptoms in patients with knee osteoarthritis, their behavior, and their environment. Older adults experience fluctuations in their pain and related symptoms (mood, fatigue, and sleep quality) that smartwatches are ideally suited to capture remotely in a convenient manner.
OBJECTIVE
The aim of this study was to evaluate satisfaction, usability, and compliance using the real-time, online assessment and mobility monitoring (ROAMM) mobile app designed for smartwatches for individuals with knee osteoarthritis.
METHODS
Participants (N=28; mean age 73.2, SD 5.5 years; 70% female) with reported knee osteoarthritis were asked to wear a smartwatch with the ROAMM app installed. They were prompted to report their prior night's sleep quality in the morning, followed by ecological momentary assessments (EMAs) of their pain, fatigue, mood, and activity in the morning, afternoon, and evening. Satisfaction, comfort, and usability were evaluated using a standardized questionnaire. Compliance with regard to answering EMAs was calculated after excluding time when the watch was not being worn for technical reasons (eg, while charging).
RESULTS
A majority of participants reported that the text displayed was large enough to read (22/26, 85%), and all participants found it easy to enter ratings using the smartwatch. Approximately half of the participants found the smartwatch to be comfortable (14/26, 54%) and would consider wearing it as their personal watch (11/24, 46%). Most participants were satisfied with its battery charging system (20/26, 77%). A majority of participants (19/26, 73%) expressed their willingness to use the ROAMM app for a 1-year research study. The overall EMA compliance rate was 83% (2505/3036 responses). The compliance rate was lower among those not regularly wearing a wristwatch (10/26, 88% vs 16/26, 71%) and among those who found the text too small to read (4/26, 86% vs 22/26, 60%).
CONCLUSIONS
Older adults with knee osteoarthritis positively rated the ROAMM smartwatch app and were generally satisfied with the device. The high compliance rates coupled with the willingness to participate in a long-term study suggest that the ROAMM app is a viable approach to remotely collecting health symptoms and behaviors for both research and clinical endeavors.
背景
智能手表使医生能够监测膝骨关节炎患者的症状、行为及其所处环境。老年人的疼痛及相关症状（情绪、疲劳和睡眠质量）会出现波动，而智能手表非常适合以便捷的方式远程捕捉这些波动。
目的
本研究旨在评估一款专为膝骨关节炎患者设计的智能手表实时在线评估与活动监测（ROAMM）移动应用程序的满意度、可用性和依从性。
方法
招募了报告患有膝骨关节炎的参与者（N = 28；平均年龄73.2岁，标准差5.5岁；70%为女性），要求他们佩戴安装了ROAMM应用程序的智能手表。他们被要求在早晨报告前一晚的睡眠质量，随后在上午、下午和晚上对疼痛、疲劳、情绪和活动进行生态瞬时评估（EMA）。使用标准化问卷评估满意度、舒适度和可用性。在排除因技术原因（如充电时）未佩戴手表的时间后，计算回答EMA的依从率。
结果
大多数参与者报告显示的文字足够大以便阅读（22/26，85%），并且所有参与者都发现使用智能手表输入评分很容易。大约一半的参与者觉得智能手表佩戴起来很舒适（14/26，54%），并会考虑将其作为个人手表佩戴（11/24，46%）。大多数参与者对其电池充电系统感到满意（20/26，77%）。大多数参与者（19/26，73%）表示愿意在为期1年的研究中使用ROAMM应用程序。EMA的总体依从率为83%（2505/3036份回复）。在不经常戴手表的人群中依从率较低（10/26，88%对16/26，71%），在那些觉得文字太小无法阅读的人群中依从率也较低（4/26，86%对22/26，60%）。
结论
患有膝骨关节炎的老年人对ROAMM智能手表应用程序给予了积极评价，并且总体上对该设备感到满意。高依从率以及参与长期研究的意愿表明，ROAMM应用程序是一种可行的方法，可用于为研究和临床工作远程收集健康症状和行为信息。
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