Objective User Engagement With Mental Health Apps: Systematic Search and Panel-Based Usage Analysis.

Area of Science:

• Digital health
• Mental health technology
• Mobile health (mHealth) usage analytics

Background:

• Understanding real-world mental health app usage is crucial for enhancing public self-management of care.
• Existing studies are often developer-led; independent data on large-scale usage patterns are lacking.

Purpose of the Study:

• To present objective, real-world data on user engagement with popular mental health applications.
• To analyze usage patterns across different types of mental health apps.

Main Methods:

• Systematic search of Google Play for Android apps targeting anxiety, depression, or emotional well-being (≥10,000 installs).
• Apps were coded for techniques and focus; behavioral usage data were obtained from an independent panel.
• Analysis included daily active users, daily minutes of use, and 15- and 30-day retention rates.

Main Results:

• 93 apps met criteria; median daily active users (open rate) was 4.0%.
• Peer-support apps had the highest open rate (17.0%), while breathing exercise apps had the lowest (1.6%).
• Mindfulness/meditation and peer support apps showed higher daily minutes of use and 30-day retention rates compared to breathing exercise apps.

Conclusions:

• Despite high install numbers, a small fraction of users engage with mental health apps long-term.
• Significant variations in engagement and retention exist among different app types.
• Further research with diverse datasets is needed to understand user self-management behaviors in real-world settings.