Evaluating a Novel Cognitive-Behavioral Online Depression Intervention for Persons With Epilepsy (Desiconnect): Randomized Controlled Trial
Abstract
The trial aims to evaluate the effectiveness of a novel internet intervention (Desiconnect), which was designed to introduce relevant cognitive-behavioral therapy (CBT) techniques to Persons with Epilepsy (PwE) and comorbid depression. Therefore, 200 PwE and a current depressive disorder (major depressive disorder or dysthymic disorder) will be recruited and randomized to two groups: (1) a control group, in which they may engage with any epilepsy treatment (Care-as-Usual, CAU) and receive access to Desiconnect after a delay of three months (i.e., CAU/wait list control group), or (2) to a treatment group that immediately receives six-month access to Desiconnect and may also use CAU. The primary outcome measure is the depression scale of the Patient Health Questionnaire (PHQ-9), collected at three months post-baseline.
Conditions: Depression, Epilepsy.
Primary outcome: Severity of depressive symptoms, measured by Patient Health Questionnaire - 9 items (PHQ-9).
Enrollment: 200 participants.
How strong is the evidence?
Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design. Reported size: 200 participants or records.
Read the paper
Related studies
- Regulation of nucleolus assembly by non-coding RNA polymerase II transcripts
- For a Healthy Histone Code, a Little SUMO in the Tail Keeps the Acetyl Away
- Discovering a binary CTCF code with a little help from BORIS
- Article Commentary: Stabilizing the Code–-Methods to Preserve RNA Prove Their Worth
- Foreword to the Special Issue for the RINTC (The Implicit Seismic Risk of Code-Conforming Structures) Project
- Commentary: Promoting Health and Well-being in Pediatric Primary Care Settings: Using Health and Behavior Codes at Routine Well-child Visits
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.