ClinicalTrials.gov
public full text
Public Domain
A Digital Therapeutic to Improve Insomnia in Multiple Sclerosis: A Randomized Controlled Trial.
The goal of this randomized controlled trial is to test the effectiveness of digital cognitive behavioral therapy for insomnia (dCBT-I) compared with digital patient education about insomnia for people with Multiple Sclerosis (MS). The main questions it aims to answer are whether dCBT-I is effective in reducing insomnia severity in people with MS, whether dCBT-I is effective in reducing daytime fatigue, psychological distress, cognitive problems, medication use (hypnotic, sedative/anxiolytic and antidepressant), resource utilization and if these changes are mediated by improvements in insomnia severity and whether dCBT-I is feasible for people with MS
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
- Cognitive Behavioral Therapy for Insomnia to Address Insomnia Symptoms in People With Multiple Sclerosis#845251
- Sleep Healthy Using the Internet Mitigating Insomnia to Address Neurocognitive Difficulties (SHUTi MIND)#892267
- Effect of WBT for CI With Depression#872523
- Acute Psychological Sleep Stabilisation for Patients Hospitalised With Depression#897040
- Determination of Optimal Sleep Treatment Elements - Pilot#906625
Record · ID 891303
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