Interaction and Engagement with an Anxiety Management App: Analysis Using Large-Scale Behavioral Data.

ABSTRACT:

Background

SAM (Self-help for Anxiety Management) is a mobile phone app that provides self-help for anxiety management. Launched in 2013, the app has achieved over one million downloads on the iOS and Android platform app stores. Key features of the app are anxiety monitoring, self-help techniques, and social support via a mobile forum ("the Social Cloud"). This paper presents unique insights into eMental health app usage patterns and explores user behaviors and usage of self-help techniques.

Objective

The objective of our study was to investigate behavioral engagement and to establish discernible usage patterns of the app linked to the features of anxiety monitoring, ratings of self-help techniques, and social participation.

Methods

We use data mining techniques on a

SUBMITTER: Matthews P 

PROVIDER: S-EPMC6324647 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature