TummyTrials:利用自我实验检测个性化食物诱因的可行性研究。

Ravi Karkar, Jessica Schroeder, Daniel A Epstein, Laura R Pina, Jeffrey Scofield, James Fogarty, Julie A Kientz, Sean A Munson, Roger Vilardaga, Jasmine Zia
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摘要

诊断性自我追踪,即记录个人信息以诊断或管理健康状况,是一种常见的做法,尤其是对慢性病患者而言。遗憾的是,许多试图进行自我跟踪诊断的人很难实现自己的目标。人们往往缺乏设计和开展科学严谨的实验所需的知识和技能,而当前的工具也几乎无法提供支持。为了弥补这些不足并探索诊断性自我跟踪的机会,我们设计、开发并评估了一款手机应用,该应用采用自我实验框架,帮助肠易激综合征(IBS)患者识别个人的食物诱因。TummyTrials 可帮助患者设计、执行和分析自我实验,以评估特定食物是否会引发其症状。我们在对 15 名肠胃综合症患者进行的实地研究中检验了这种方法的可行性,发现参与者可以使用该工具可靠地进行自我实验。然而,我们也发现了科学有效性与自我实验的生活体验之间的潜在矛盾。我们讨论了在日常生活中应用临床研究方法所面临的挑战,这促使我们需要设计自我实验系统,以平衡严谨性与日常生活中的不确定性。
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TummyTrials: A Feasibility Study of Using Self-Experimentation to Detect Individualized Food Triggers.

Diagnostic self-tracking, the recording of personal information to diagnose or manage a health condition, is a common practice, especially for people with chronic conditions. Unfortunately, many who attempt diagnostic self-tracking have trouble accomplishing their goals. People often lack knowledge and skills needed to design and conduct scientifically rigorous experiments, and current tools provide little support. To address these shortcomings and explore opportunities for diagnostic self-tracking, we designed, developed, and evaluated a mobile app that applies a self-experimentation framework to support patients suffering from irritable bowel syndrome (IBS) in identifying their personal food triggers. TummyTrials aids a person in designing, executing, and analyzing self-experiments to evaluate whether a specific food triggers their symptoms. We examined the feasibility of this approach in a field study with 15 IBS patients, finding that participants could use the tool to reliably undergo a self-experiment. However, we also discovered an underlying tension between scientific validity and the lived experience of self-experimentation. We discuss challenges of applying clinical research methods in everyday life, motivating a need for the design of self-experimentation systems to balance rigor with the uncertainties of everyday life.

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