Optimizing Cognitive-behavioral Therapy for Social Anxiety Disorder Using the Factorial Design

Description

Social Anxiety Disorder (SAD) is characterized by a marked fear of negative evaluation in social situations. It is the third most common psychiatric disorder and highly disabling. Although effective treatments such as cognitive-behavioral therapy (CBT) are available, most individuals suffering from SAD do not seek and eventually find help, and even in the best available treatments, remission rates are below 50%. The overall aim of the project is to improve the efficacy of Internet-based CBT (ICBT) that has shown to be efficacious in many trials and that provide broad and low-threshold access to empirically supported treatments. Specifically, the objectives of the study are:

1. to investigate the active ingredients of ICBT for SAD by testing the main effects and interactions for the four main treatment components (i.e., psychoeducation, cognitive restructuring, attention training, and exposure);
2. to investigate the effects of each treatment component on hypothesized change mechanisms (change of the knowledge of SAD, change on negative social cognitions, changes on self-focused attention, changes on social avoidance and use of safety behaviors), and to explore whether and which change mechanisms mediate the effect of the treatment components on symptom reduction.
3. to investigate whether the specific mechanisms mediate the effect of the treatment components on primary and secondary outcomes.

The study is a single-center, factorial trial with four experimental factors (treatment components, i.e., psychoeducation, cognitive restructuring, attention training, and exposure) each evaluated at two levels (presence vs. absence) resulting in 16 conditions.

Recruitment: Participants will be recruited using reports in newspapers, through internet forums, social media (e.g., Facebook), and via our website (https://www.online-therapy.ch/) in German-speaking countries.

Sampling: After checking the inclusion criteria, participants will be randomized with equal probability to one of the 16 conditions. The random allocation will be unknown to the investigators. In order to keep the sample sizes of the 16 conditions similar, the allocation list will be made using randomly permuted blocks. A total of 464 participants with a Diagnostic and Statistical Manual of Mental Disorders diagnosis of SAD will be included, with 29 patients being assigned to each of the 16 conditions.

Assessment procedures: The primary outcome measure is change in symptoms of SAD at post-treatment, i.e., after 8 weeks. Secondary outcomes include sustaining change at follow up (6 months after baseline), changes in depressive symptoms, changes in general anxiety symptoms, changes in quality of life, adherence to treatment, treatment satisfaction, negative effects and changes of diagnosis of SAD. Furthermore, the hypothesized change mechanisms (change of the knowledge of SAD, change on negative social cognitions, changes in self-focused attention, changes in social avoidance and use of safety behaviors) will be assessed. Self-report measures are taken at pre-treatment (baseline), after 4 weeks (mid-treatment), after 8 weeks (post-treatment), and at 6 months after randomization (follow-up). Besides the self-report measures, a diagnostic interview will be conducted by phone at pre-treatment, eight weeks (posttreatment), and six months (follow-up). The structured M.I.N.I. Interview will be used. The interviews will be administered by advanced Master students in clinical psychology and psychotherapy supervised by the study team. Interrater reliability will be assessed on a subset of the cases.

Treatment: The internet-based self-help program ("Shyne", https://selfhelp1.psy.unibe.ch/shyne/) is based on the well-established cognitive-behavioral treatment of social anxiety by Clark and Wells and has been proven efficacious in previous studies. Shyne is accessed through a secure website, with each participant having a password-protected account. It consists of the following four treatment components: (1) psychoeducation (knowledge about SAD and its treatment); (2) cognitive restructuring (challenging dysfunctional social cognitions); (3) attention training (decrease of self-focused attention); and (4) exposure (decrease of avoidance of feared situations and safety behaviors). These treatment components will be offered in 16 different combinations.

Data analysis: Primary analyses will be conducted on the Intention-To-Treat (ITT) sample (i.e., all randomized participants). The analyses are carried out on the basis of the intention-to-treat (ITT) approach using linear mixed models. In addition, but only secondary, completers analysis will be carried out. In order to test for main and interaction effects of treatment components on outcomes and change mechanisms across the time points of assessment, linear mixed models Analysis of Variance (ANOVA) or latent growth curve modelling will be used. Main effects and interactions will be based on aggregates across experimental conditions. Sensitivity analyses will explore the impact of the imputation of missing values. For binary outcome data (i.e., SAD diagnosis), a logistic regression model will be used. Furthermore, mediation analyses will be used to determine whether the hypothesized change mechanisms mediate the effect of the treatment components on primary and secondary outcomes. The mediation will be tested using an approach that allows multiple mediators in one model. In addition, potential moderation of the treatment components by various measured variables such as comorbid disorder, medication, the severity of SAD, age and sex will be investigated. Reporting will follow CONSORT E-Health standards.

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