ClinicalTrials.gov
public full text
Public Domain
Digital CBT for Insomnia and Depression
This study has two primary objectives, each of which addresses critical clinical and research gaps for individuals who have co-occurring insomnia and depression. The first objective is to address whether sequential treatment of insomnia and depression is superior to a single treatment for either depression or for insomnia, and if so, which treatment sequence is optimal. The second objective is to determine if there are heterogeneity of treatment effects; that is, variation in which interventions are best for which individuals, and if so, to develop and individualized intervention rule to better match individuals with the treatment that is most likely to lead to the best outcomes. A large randomized trial will be conducted to meet these objectives.
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
- Better Sleep in Psychiatric Care - Depression, Anxiety and PTSD#909430
- Clinical Benefit of CBT for Insomnia in Primary Care#845211
- Effectiveness of eCBT-I on Improving Mental Health in Chinese Youths With Insomnia#844891
- CBT+ for Depression#1163221
- A Conversational Agent (Cecebot) to Improve Insomnia in Stage I-III Breast Cancer Survivors#804984
Record · ID 835252
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