Participatory development and proof-of-concept of a dyadic-based, AI-driven, just-in-time adaptive intervention mechanism for preventing anxiety and depressive disorders via app: study protocol for a feasibility study

Participatory development and proof-of-concept of a dyadic-based, AI-driven, just-in-time adaptive intervention mechanism for preventing anxiety and depressive disorders via app: study protocol for a feasibility study

BackgroundThe growing prevalence of anxiety and depressive disorders highlights the need for transdiagnostic prevention through innovative interventions that outperform existing applications. By delivering personalized, context-sensitive support in moments of need, Just-In-Time-Adaptive-Intervention...

Full description

Saved in:
Bibliographic Details
Main Authors: Anna-Carlotta Zarski, Theresa Sextl-Plötz, Juliane Schmidt-Hantke, Natalie Sarah Hess, Claudia Buntrock
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Public Health
Subjects:
AI driven JITAI
mental health app
prevention
mental health
mobile health
internet and mobile intervention
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2025.1626428/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items