Engagement with consumer smartwatches for tracking symptoms of individuals living with multiple long-term conditions (multimorbidity): A longitudinal observational study.
Engagement with consumer smartwatches for tracking symptoms of individuals living with multiple long-term conditions (multimorbidity): A longitudinal observational study.
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DOI：
10.1177/26335565211062791
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发表时间：
2021-01
期刊：
影响因子：
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通讯作者：
Dixon WG
中科院分区：
文献类型：
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作者：
Ali SM;Selby DA;Khalid K;Dempsey K;Mackey E;Small N;van der Veer SN;Mcmillan B;Bower P;Brown B;McBeth J;Dixon WG
患有多种长期疾病（多发性硬化症）（MLTC-M）的人会经历不同症状的累积组合。有人建议，这些症状可以使用消费者技术（如智能手机和可穿戴设备）进行纵向跟踪。本研究的目的是调查MLTC-M患者使用智能手表应用程序的纵向用户参与度，收集90天内的调查问题和活动任务。“Watch Your Steps”是一项前瞻性观察研究，在90天内管理多个问题和主动任务。患有不止一种临床医生诊断的长期疾病的成年人被借给化石®运动智能手表，预装了研究应用程序。每天提示大约20个问题。计算每日完成率以描述一段时间内的参与模式，并探索这些模式如何因患者特征和问题类型而变化。53名MLTC-M患者参加了这项研究。大约一半是男性（= 26; 49%），大多数有白色种族背景（n = 45; 85%）。大约三分之一的参与者几乎每天都使用智能手表应用程序。所有研究参与者的症状问题总体完成率为45%四分位数范围（IQR 23-67%）。年龄较大的患者和MLTC-M较大的患者参与度更高，尽管参与度在性别之间没有显著差异。MLTC-M患者在3个月内每天报告多种症状是可行的。用户参与度似乎与其他移动的健康研究一样好，这些研究招募了具有单一健康状况的人，尽管日常数据输入负担更高。
People living with multiple long-term conditions (multimorbidity) (MLTC-M) experience an accumulating combination of different symptoms. It has been suggested that these symptoms can be tracked longitudinally using consumer technology, such as smartphones and wearable devices. The aim of this study was to investigate longitudinal user engagement with a smartwatch application, collecting survey questions and active tasks over 90 days, in people living with MLTC-M. ‘Watch Your Steps’ was a prospective observational study, administering multiple questions and active tasks over 90 days. Adults with more than one clinician-diagnosed long-term conditions were loaned Fossil® Sport smartwatches, pre-loaded with the study app. Around 20 questions were prompted per day. Daily completion rates were calculated to describe engagement patterns over time, and to explore how these varied by patient characteristics and question type. Fifty three people with MLTC-M took part in the study. Around half were male ( = 26; 49%) and the majority had a white ethnic background (n = 45; 85%). About a third of participants engaged with the smartwatch app nearly every day. The overall completion rate of symptom questions was 45% inter-quartile range (IQR 23–67%) across all study participants. Older patients and those with greater MLTC-M were more engaged, although engagement was not significantly different between genders. It was feasible for people living with MLTC-M to report multiple symptoms per day over 3 months. User engagement appeared as good as other mobile health studies that recruited people with single health conditions, despite the higher daily data entry burden.