Can Genetics Predict Treatment Response to a Computerized Self-help Program for Depression?

The University of Texas System (UT)

Status: Completed

Conditions: Major Depressive Disorder; Mood Disorders

Treatments: Behavioral: Computerized self-help program for depression

Study type: Interventional

Funder types: Other

Identifiers

NCT01818453

2013-01-0025

Details and patient eligibility

About

The goal of this project is to determine whether genetic information can be used to predict response to an internet-based treatment of depression. Several studies now indicate that completing an internet-based treatment for depression, called Deprexis, can significantly improve symptoms of depression. However, not everyone improves. The purpose of this study is to determine whether genetic profile can predict who is likely to improve.

Enrollment: 500 estimated patients

Sex: All

Ages: 18 to 55 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• English-speaking
• Have reliable access to the internet (i.e., dialup or broadband access)
• Be willing to donate saliva for DNA research
• Have a current symptoms of depression
• Be stable on medication and/or therapy (i.e. no changes within 2 weeks of study entry)

Exclusion criteria

• Any diagnosis of a psychotic or bipolar disorder
• Meeting for alcohol/drug dependence in the past year
• Having current suicidal risk warranting crisis intervention

Trial design

Primary purpose: Treatment

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: None (Open label)

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500 participants in 2 patient groups

Computerized self-help program for depression

Active Comparator group

Description:

Participants will have access to a computerized self-help program for depression, called deprexis, for 8 weeks.

Treatment:

Behavioral: Computerized self-help program for depression

Wait List Control

No Intervention group

Description:

Participants randomly assigned to a "wait list control" condition will wait 8 weeks after assignment before they can access the deprexis program.