MigraineTracker: Examining Patient Experiences with Goal-Directed Self-Tracking for a Chronic Health Condition.

Yasaman S Sefidgar, Carla L Castillo, Shaan Chopra, Liwei Jiang, Tae Jones, Anant Mittal, Hyeyoung Ryu, Jessica Schroeder, Allison Cole, Natalia Murinova, Sean A Munson, James Fogarty
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Abstract

Self-tracking and personal informatics offer important potential in chronic condition management, but such potential is often undermined by difficulty in aligning self-tracking tools to an individual's goals. Informed by prior proposals of goal-directed tracking, we designed and developed MigraineTracker, a prototype app that emphasizes explicit expression of goals for migraine-related self-tracking. We then examined migraine patient experiences in a deployment study for an average of 12+ months, including a total of 50 interview sessions with 10 patients working with 3 different clinicians. Patients were able to express multiple types of goals, evolve their goals over time, align tracking to their goals, personalize their tracking, reflect in the context of their goals, and gain insights that enabled understanding, communication, and action. We discuss how these results highlight the importance of accounting for distinct and concurrent goals in personal informatics together with implications for the design of future goal-directed personal informatics tools.

偏头痛追踪器:研究慢性病患者的目标导向自我追踪体验。
自我跟踪和个人信息学为慢性病管理提供了重要的潜力,但这种潜力往往因难以将自我跟踪工具与个人目标相结合而受到削弱。根据之前提出的目标导向跟踪建议,我们设计并开发了偏头痛跟踪器(MigraineTracker),这是一款强调明确表达偏头痛相关自我跟踪目标的原型应用程序。然后,我们在一项部署研究中考察了偏头痛患者平均 12 个多月的经历,其中包括与 3 位不同临床医生合作的 10 位患者的共计 50 次访谈。患者能够表达多种类型的目标,随着时间的推移不断发展自己的目标,根据自己的目标调整跟踪,个性化跟踪,根据自己的目标进行反思,并获得有助于理解、沟通和行动的见解。我们将讨论这些结果如何凸显了在个人信息学中考虑不同目标和并行目标的重要性,以及对未来目标导向型个人信息学工具设计的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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