ClinicalTrials.gov
public full text
Public Domain
Sustainable Upscaling of Depression Prevention
Research shows that online unguided self-help interventions focused on psycho-education, skills training and lifestyle can prevent mild mood complaints from turning into a full-blown depression. These encouraging results are found even though the adherence to these types of interventions is generally low. With this project, the investigators examine whether effectiveness and adherence to online unguided self-help interventions can be increased by additional motivational guidance elements. This is examined by adding three additional components to the intervention: 1) A coach who provides online feedback once a week to provide support. 2) Mobile application to monitor mood and related factors and to receive automated personalized messages, 3) Content based on the principles of motivational interviewing. A secondary aim is to compare the additional effects of the individual components against the additional costs.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Healthy Mood Internet Intervention Research Project#842373
- Cost-effectiveness of a smartphone-based personalized lifestyle intervention for symptoms of depression in primary care: protocol for a cluster-randomized controlled trial (LIDIAS).#368232
- Online Counseling to Enable Lifestyle-focused Obesity Treatment in Primary Care#969668
- Effects of a Telephone Based Peer Support to Reduce Depressive Symptoms and Improve Social Support in Women With CHD#1319987
- Predictors of depression outcomes among university students following brief smartphone-based interventions.#30501
Record · ID 1182653
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive