Examining the variability of multiple daily symptoms over time among individuals with multiple long-term conditions (MLTC-M/multimorbidity): An exploratory analysis of a longitudinal smartwatch feasibility study.
Examining the variability of multiple daily symptoms over time among individuals with multiple long-term conditions (MLTC-M/multimorbidity): An exploratory analysis of a longitudinal smartwatch feasibility study.
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DOI：
10.1177/26335565221150129
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发表时间：
2023-01
期刊：
影响因子：
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通讯作者：
Dixon, William G
中科院分区：
文献类型：
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作者：
Kazi, Khalid;Ali, Syed Mustafa;Selby, David A;McBeth, John;van der Veer, Sabine;Dixon, William G
患有多种长期疾病（MLTC-M）的人会经历一系列相互关联的症状。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，然后进行总结，以提供有用的临床见解。我们的目的是进行探索性分析，总结通过智能手表跟踪的多种症状评级的程度和轨迹，并在可行性研究中调查这些症状评级与MLTC-M患者人口统计学因素之间的关系。“注意你的脚步”是一项前瞻性观察可行性研究，在90天内每天管理多个问题。患有一种以上临床诊断的长期疾病的成年人每天评定7种核心症状，每天再加上多达8种针对其LTC的额外症状。在个体和组水平上总结了研究期间的症状评级。还绘制了症状评级以描述个体的日常症状轨迹。52名参与者提交了症状评级。一半是男性，大多数有LTC影响三个或三个以上的疾病领域（N = 33，64%）。被评为最有问题的症状是疲劳。合并症增加或女性患者似乎与更严重的疲劳体验相关。疲劳等级与疼痛和功能障碍程度密切相关。在这项研究中，我们已经证明，可以收集和连续分析MLTC-M患者的自我报告症状数据，这些数据每天在智能手表上多次收集，以获得可能支持未来临床护理和研究的见解。
People living with multiple long-term conditions (MLTC-M) (multimorbidity) experience a range of inter-related symptoms. These symptoms can be tracked longitudinally using consumer technology, such as smartphones and wearable devices, and then summarised to provide useful clinical insight. We aimed to perform an exploratory analysis to summarise the extent and trajectory of multiple symptom ratings tracked via a smartwatch, and to investigate the relationship between these symptom ratings and demographic factors in people living with MLTC-M in a feasibility study. ‘Watch Your Steps’ was a prospective observational feasibility study, administering multiple questions per day over a 90 day period. Adults with more than one clinician-diagnosed long-term condition rated seven core symptoms each day, plus up to eight additional symptoms personalised to their LTCs per day. Symptom ratings were summarised over the study period at the individual and group level. Symptom ratings were also plotted to describe day-to-day symptom trajectories for individuals. Fifty two participants submitted symptom ratings. Half were male and the majority had LTCs affecting three or more disease areas (N = 33, 64%). The symptom rated as most problematic was fatigue. Patients with increased comorbidity or female sex seemed to be associated with worse experiences of fatigue. Fatigue ratings were strongly correlated with pain and level of dysfunction. In this study we have shown that it is possible to collect and descriptively analyse self reported symptom data in people living with MLTC-M, collected multiple times per day on a smartwatch, to gain insights that might support future clinical care and research.