用手机使用数据客观评估神经退行性疾病患者的疲劳与睡眠状况
Mobile Interaction for Assessing Fatigue, Sleep, and Activity in Neurodegenerative and Chronic Diseases
- 通过分析用户屏幕时长和应用使用模式，实现症状的持续监测
- 137名患者数据显示，手机行为与疲劳评分相关性达0.42以上
- 适合慢性病长期随访，替代传统低频问卷评估
疲劳、睡眠障碍或日常活动异常是神经退行性疾病（NDD）和免疫介导性炎症疾病（IMID）患者的常见症状。当前评估主要依赖患者自报量表（PROs），通常每数月填写一次，存在主观偏差且对动态变化不敏感，难以捕捉症状波动。本文探索利用智能手机数据作为患者设备交互行为的代理指标，实现对上述症状的客观、可靠、连续评估。研究纳入6类疾病群体及健康对照组共137名参与者，通过重复测量相关性分析，考察屏幕使用时间与应用使用特征与通过手机应用收集的PRO评分之间的关联。结果表明，手机交互模式与临床症状评分具有显著相关性，为慢性病远程监测提供了新方法。
原文摘要 · Abstract (English)
Fatigue, sleep, or disturbances in daily activities are common symptoms among patients with neurodegenerative disorders (NDD) and immune-mediated inflammatory diseases (IMID). The current assessment of such symptoms is usually conducted using patient reported outcomes (PROs) based on standardized questionnaires that patients usually complete every few months. This assessment protocol has raised some concerns, due to its propensity to exhibit biases derived from its subjectivity nature, or the low sensibility to changes, which may lead to a failure when trying to capture variability over time. In this work, we explore the use of smartphone data, which can serve as a proxy for how patients interact with their devices, to provide an effective, reliable, and objective assessment of the symptoms mentioned above. Our study comprises data from 137 participants belonging to 6 different disease groups, plus a healthy control group. We conducted statistical analysis based on repeated measures correlation, in which we analyze the correlation between screen-time and app-usage features with scores obtained from the PROs collected from the participants using a smartphone application.
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