Beyond the current state of just-in-time adaptive interventions in mental health: a qualitative systematic review
BackgroundJust-In-Time Adaptive Interventions (JITAIs) are interventions designed to deliver timely tailored support by adjusting to changes in users' internal states and external contexts. To accomplish this, JITAIs often apply complex analytic techniques, such as machine learning or Bayesian...
Saved in:
| Main Authors: | Claire R. van Genugten, Melissa S. Y. Thong, Wouter van Ballegooijen, Annet M. Kleiboer, Donna Spruijt-Metz, Arnout C. Smit, Mirjam A. G. Sprangers, Yannik Terhorst, Heleen Riper |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-01-01
|
| Series: | Frontiers in Digital Health |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fdgth.2025.1460167/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
mHealth intervention delivered in general practice to increase physical activity and reduce sedentary behaviour of patients with prediabetes and type 2 diabetes (ENERGISED): statistical analysis plan
by: Tomas Vetrovsky, et al.
Published: (2025-05-01) -
Predicting postprandial glucose excursions to personalize dietary interventions for type-2 diabetes management
by: Victoria Brügger, et al.
Published: (2025-07-01) -
Does outcome expectancy predict outcomes in online depression prevention? Secondary analysis of randomised‐controlled trials
by: Janika Thielecke, et al.
Published: (2024-02-01) -
Effectiveness of a guided multicomponent internet and mobile gratitude training program - A pragmatic randomized controlled trial
by: Dirk Lehr, et al.
Published: (2024-12-01) -
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
by: Anna-Carlotta Zarski, et al.
Published: (2025-07-01)