mHealth in the wild: A global examination of a publicly available app for depression (Preprint)
BACKGROUND The scope and impact of depression worldwide is breathtaking. Reducing the global burden of depression will require a multi-pronged approach. OBJECTIVE The purpose of this study is to examine naturalistic user behavior of MoodTools, a publicly available, self-guided mHealth app designed to improve symptoms of depression, in a global community sample. METHODS Mobile analytics data was collected from all unique downloads of the Android version of MoodTools between March 1, 2016 and February 28, 2018. RESULTS MoodTools was used by 158,930 people from 198 countries. 51.14% of users returned to the app after initial download. The typical person used the app for 3 sessions for a total of 12 minutes over the span of 90 days. Users most often visited tools designed for self-monitoring of symptoms and for targeting a core mechanism of depressive psychopathology, negative cognitions. CONCLUSIONS Results suggest that there is global interest in a publicly available app for improving depression. Self-guided apps like MoodTools, therefore, could be a tool in the toolbox to address the global burden of depression. Future research is needed to determine whether people who use self-guided apps experience improvement in depressive symptoms. Given the low motivation and behavioral avoidance associated with the disorder, a key challenge for self-guided apps for depression is to engage and to retain users. CLINICALTRIAL none, not a trial