Predicting Treatment Outcomes From Internet-Based Cognitive Behavior Therapy for Obsessive-Compulsive Disorder.
Authors: Wheaton MG, Patel SR, Andersson E, Rück C, Simpson HB
Journal: Behavior therapy
cognitive-behavioral therapy
internet treatment
obsessive-compulsive disorder
predictor
Cognitive Behavioral Therapy
Humans
Internet
Obsessive-Compulsive Disorder
Therapy, Computer-Assisted
Treatment Outcome
Abstract
Internet-based cognitive-behavioral therapy (ICBT) with therapist support shows promise as a treatment for obsessive-compulsive disorder (OCD). Yet, not all patients respond to ICBT. It is therefore important to identify predictors of ICBT outcomes to determine who is likely to benefit. Relative to the large literature on predictors of outcomes for in-person CBT for OCD, very few studies have investigated ICBT predictors. Therefore, we analyzed predictors of outcome in an open trial (n=30) of ICBT for OCD using the OCD-NET platform, which consists of 10 online modules delivered with therapist support. The Yale-Brown Obsessive-Compulsive Scale (YBOCS) was administered by independent raters as the primary outcome measure at baseline and posttreatment. In this sample, greater baseline OCD severity and OCD-related avoidance behaviors were associated with higher end-state OCD symptoms (i.e., poorer outcome). Patients with a past history of face-to-face CBT for OCD also had worse outcomes. Although these results require replication, these factors may identify individuals at risk for poor ICBT outcomes.