Figueiredo Mayara, Caldeira Clara, Chen Yunan, Zheng Kai
University of California, Irvine, Irvine, CA.
AMIA Annu Symp Proc. 2018 Apr 16;2017:706-714. eCollection 2017.
Despite a growing interest in self-tracking of one's health, what factors lead to self-tracking routinely (i.e., collecting data at regular intervals), and the effects of this behavior, remain largely understudied. Using data from the Pew Survey on Tracking for Health, we examined the patterns of self-tracking activity to understand reasons for this behavior and its impact on health management practices. We tested multiple logistic regression models to assess the influence of different predicting variables, and to find whether routine self-tracking leads to positive change to one's approaches to health management. Our results suggest that recent visits to emergency care and the type(s) of tracking tools used are significant predictors of routine self-tracking activities. Further, the results suggest that routine self-tracking, as opposed to occasional, event-triggered tracking, is more likely to result in positive changes to health management approaches. Our findings also highlight barriers to and opportunities for designing useful and usable tools to facilitate self-tracking and empower patients to become more proactive in managing their own health.
尽管人们对自我健康追踪的兴趣日益浓厚，但导致日常自我追踪（即定期收集数据）的因素以及这种行为的影响在很大程度上仍未得到充分研究。利用皮尤健康追踪调查的数据，我们研究了自我追踪活动的模式，以了解这种行为的原因及其对健康管理实践的影响。我们测试了多个逻辑回归模型，以评估不同预测变量的影响，并确定日常自我追踪是否会导致个人健康管理方法的积极改变。我们的结果表明，最近前往急诊护理的次数以及所使用的追踪工具类型是日常自我追踪活动的重要预测因素。此外，结果表明，与偶尔的、事件触发的追踪相比，日常自我追踪更有可能导致健康管理方法的积极改变。我们的研究结果还突出了设计有用且易用的工具以促进自我追踪并使患者在管理自身健康方面更加积极主动的障碍和机遇。
