ClinicalTrials.gov
public full text
Public Domain
Digital Cognitive Behavioral Therapy for Depressive Disorders
This study aims to explore the effectiveness of digital interventions combined with medication in the treatment of patients with depressive disorders. Its main aim is to answer: Can digital interventions combined with medication effectively alleviate symptoms of depression? The experiment will compare the effects of medication combined with digital interventions to those combined with online mental health education to evaluate their relative effectiveness. Participants will be required to engage with the medication plus digital therapy for a duration of two months, and follow-up assessments will be conducted to evaluate the long-term effects of the treatments and monitor any changes in depressive symptoms.
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
- Understanding the Efficacy of Mobile Apps as Intervention for Depression in Adults When Deployed as Part of Primary Care.#860094
- An Online Self-help Intervention for Prevention of Depression in Primary Care#869900
- CONNECT for Depressed Cannabis Users Trial#829659
- Computer-assisted Cognitive-Behavior Therapy for Depression in Primary Care#1007565
- Measurement-Based Care Vs. Standard Care for Major Depressive Disorder#886000
Record · ID 1364675
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