进食障碍应用中数据收集、反思和沟通策略综述

Anjali Devakumar, Jay Modh, Bahador Saket, Eric P S Baumer, Munmun De Choudhury
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引用次数: 12

摘要

饮食失调是死亡率最高的一种精神疾病。今天,移动健康应用程序为急诊科患者提供了很有前途的方法来管理他们的病情。应用程序使用户能够监控自己的饮食习惯、想法和感受,并为行为改变提供分析见解。然而,学者们不仅批评了这些应用程序的临床有效性,而且他们的基本设计原则也没有得到很好的理解。通过对34个ED应用程序的回顾,我们发现了ED应用程序收集的11种不同的数据类型,以及它们采用的9种策略来支持收集和反思。根据个人健康信息学和可视化框架,我们发现大多数应用程序都没有遵循最佳实践,即应该从用户那里收集和反映什么以及如何收集数据,或者应该如何传达数据驱动的见解。我们的研究为改进ED应用程序的设计提供了建议,使它们在ED恢复中有用和有意义。
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A Review on Strategies for Data Collection, Reflection, and Communication in Eating Disorder Apps.
Eating disorders (EDs) constitute a mental illness with the highest mortality. Today, mobile health apps provide promising means to ED patients for managing their condition. Apps enable users to monitor their eating habits, thoughts, and feelings, and offer analytic insights for behavior change. However, not only have scholars critiqued the clinical validity of these apps, their underlying design principles are not well understood. Through a review of 34 ED apps, we uncovered 11 different data types ED apps collect, and 9 strategies they employ to support collection and reflection. Drawing upon personal health informatics and visualization frameworks, we found that most apps did not adhere to best practices on what and how data should be collected from and reflected to users, or how data-driven insights should be communicated. Our review offers suggestions for improving the design of ED apps such that they can be useful and meaningful in ED recovery.
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