Development and Evaluation of a Smartphone-Based Measure of Social Rhythms for Bipolar Disorder
Development and Evaluation of a Smartphone-Based Measure of Social Rhythms for Bipolar Disorder
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DOI：
10.1177/1073191116656794
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发表时间：
2016-08-01
期刊：
影响因子：
3.8
通讯作者：
Frank, Ellen
中科院分区：
文献类型：
--
作者：
Matthews, Mark;Abdullah, Saeed;Frank, Ellen
动态的心理过程通常使用自我报告工具进行评估。由于人类参与者的负担，这限制了收集数据的频率和时间。智能手机是无处不在的高度个人化的设备，配备了传感器，提供了测量和理解长期真实世界环境中的心理过程的机会。在这篇文章中，我们提出了一种新的智能手机方法来解决双相情感障碍自我报告的局限性，其中情绪和活动是关键结构。我们描述了MoodRhythm的开发，这是一款智能手机应用程序，整合了来自人际和社交节奏疗法的现有自我报告元素，这是一种经过临床验证的治疗方法，并将它们与来自智能手机传感器的新输入相结合。我们反思了从现有的自我报告工具过渡到使用智能手机传感器的工具所学到的教训，并讨论了这些变化对未来心理评估的潜在影响。
Dynamic psychological processes are most often assessed using self-report instruments. This places a constraint on how often and for how long data can be collected due to the burden placed on human participants. Smartphones are ubiquitous and highly personal devices, equipped with sensors that offer an opportunity to measure and understand psychological processes in real-world contexts over the long term. In this article, we present a novel smartphone approach to address the limitations of self-report in bipolar disorder where mood and activity are key constructs. We describe the development of MoodRhythm, a smartphone application that incorporates existing self-report elements from interpersonal and social rhythm therapy, a clinically validated treatment, and combines them with novel inputs from smartphone sensors. We reflect on lessons learned in transitioning from an existing self-report instrument to one that involves smartphone sensors and discuss the potential impact of these changes on the future of psychological assessment.