Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Can E-therapies Reduce Waiting Lists in Secondary Mental Health Care? A Randomized Controlled Trial

University of Ottawa · 2015
ClinicalTrials.gov · Datasets · License: Public Domain · 2015
Open Source ↗
cbtcognitive-behavioural-therapydepressionmental-health
Depression is common and disabling but access to specialist treatment is often delayed with waiting lists of up to a year not uncommon. Also treatment is frequently limited to drug therapies because of long waiting lists to see psychological therapists face to face despite recommendations by NICE (The National Institute for Health and Clinical Excellence) and others about the importance of non-drug therapies. One way to address this problem is to use computerized e-therapies which deliver structured cognitive behavioral treatment where the therapy can be accessed in a location and at a time that is convenient for patients and where there is no waiting list. Previous randomized controlled trials of e-therapies for depression have mainly been in people recruited through the internet or in clinical populations with mild disorders where many participants do not complete the on-line course. Despite this there is some evidence that clinician-assisted computerized cognitive behavior therapy can result in significant improvements in depression with reduced demands on clinician time. To date there have been no trials of clinician assisted e-therapy in secondary care. Therefore the aim of this clinical trial is to answer the question "In patients on the waiting list for the mood program does a computerized therapy with an e-therapy coach compared to written information about depression and the availability of computerized treatments result in better outcomes, quicker improvements and the use of fewer resources after 12 weeks". The study will be a randomized controlled trial with health service use and PHQ-9 as the main outcome measures.
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

Record · ID 894532
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