Literature DB >> 23697570

Patient expectations in internet-based self-help for social anxiety.

Johanna Boettcher1, Babette Renneberg, Thomas Berger.   

Abstract

A number of controlled trials have demonstrated the efficacy of Internet-based cognitive-behaviour therapy for treating social anxiety disorder (SAD). However, little is known about what makes those interventions work. The current trial focuses on patient expectations as one common mechanism of change. The study examines whether patients' expectancy predicts outcome, adherence, and dropout in an unguided Internet-based self-help programme for SAD. Data of 109 participants in a 10-week self-help programme for SAD were analysed. Social anxiety measures were administered prior to the intervention, at week 2, and after the intervention. Expectancy was assessed at week 2. Patient expectations were a significant predictor of change in social anxiety (β = - .35 to - .40, all p < .003). Patient expectations also predicted treatment adherence (β = .27, p = .02). Patients with higher expectations showed more adherence and better outcome. Dropout was not predicted by expectations. The effect of positive expectations on outcome was mediated by early symptom change (from week 0 to week 2). Results suggest that positive outcome expectations have a beneficial effect on outcome in Internet-based self-help for SAD. Furthermore, patient expectations as early process predictors could be used to inform therapeutic decisions such as stepping up patients to guided or face-to-face treatment options.

Entities:  

Mesh:

Year:  2013        PMID: 23697570     DOI: 10.1080/16506073.2012.759615

Source DB:  PubMed          Journal:  Cogn Behav Ther        ISSN: 1650-6073


  10 in total

Review 1.  A Systematic Review of Predictors of, and Reasons for, Adherence to Online Psychological Interventions.

Authors:  Lisa Beatty; Claire Binnion
Journal:  Int J Behav Med       Date:  2016-12

2.  Clinical presentation and pharmacotherapy response in social anxiety disorder: The effect of etiological beliefs.

Authors:  Jonah N Cohen; Carrie M Potter; Deborah A G Drabick; Carlos Blanco; Franklin R Schneier; Michael R Liebowitz; Richard G Heimberg
Journal:  Psychiatry Res       Date:  2015-04-16       Impact factor: 3.222

3.  Participant retention in an automated online monthly depression rescreening program: patterns and predictors.

Authors:  Supria Gill; Omar Contreras; Ricardo F Muñoz; Yan Leykin
Journal:  Internet Interv       Date:  2014-03

4.  Adherence to Internet-Based Mobile-Supported Stress Management: A Pooled Analysis of Individual Participant Data From Three Randomized Controlled Trials.

Authors:  Anna-Carlotta Zarski; Dirk Lehr; Matthias Berking; Heleen Riper; Pim Cuijpers; David Daniel Ebert
Journal:  J Med Internet Res       Date:  2016-06-29       Impact factor: 5.428

5.  Turning Good Intentions Into Actions by Using the Health Action Process Approach to Predict Adherence to Internet-Based Depression Prevention: Secondary Analysis of a Randomized Controlled Trial.

Authors:  Anna-Carlotta Zarski; Matthias Berking; Dorota Reis; Dirk Lehr; Claudia Buntrock; Ralf Schwarzer; David Daniel Ebert
Journal:  J Med Internet Res       Date:  2018-01-11       Impact factor: 5.428

6.  Current Views and Perspectives on E-Mental Health: An Exploratory Survey Study for Understanding Public Attitudes Toward Internet-Based Psychotherapy in Germany.

Authors:  Jennifer Apolinário-Hagen; Viktor Vehreschild; Ramez M Alkoudmani
Journal:  JMIR Ment Health       Date:  2017-02-23

7.  Public Acceptability of E-Mental Health Treatment Services for Psychological Problems: A Scoping Review.

Authors:  Jennifer Apolinário-Hagen; Jessica Kemper; Carolina Stürmer
Journal:  JMIR Ment Health       Date:  2017-04-03

8.  Adherence to a web-based pre-treatment for phobias in outpatient clinics.

Authors:  Robin N Kok; Aartjan T F Beekman; Pim Cuijpers; Annemieke van Straten
Journal:  Internet Interv       Date:  2017-06-01

9.  Working alliance with an avatar: How far can we go with internet interventions?

Authors:  Eva Heim; Alexander Rötger; Noah Lorenz; Andreas Maercker
Journal:  Internet Interv       Date:  2018-02-05

10.  Effectiveness and Cost-Effectiveness of a Self-Guided Internet Intervention for Social Anxiety Symptoms in a General Population Sample: Randomized Controlled Trial.

Authors:  John Powell; Veronika Williams; Helen Atherton; Kylie Bennett; Yaling Yang; Mina Davoudianfar; Annika Hellsing; Angela Martin; Jill Mollison; Milensu Shanyinde; Ly-Mee Yu; Kathleen M Griffiths
Journal:  J Med Internet Res       Date:  2020-01-10       Impact factor: 5.428

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.