Journal article
Predictors of treatment outcomes and adherence in internet-based cognitive behavioral therapy for social anxiety in China.
- Chen H School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing100871, People's Republic of China.
- Rodriguez MA Boston Child Study Center, Los Angeles and Pitzer College, Claremont, CA91711, USA.
- Qian M School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing100871, People's Republic of China.
- Kishimoto T School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing100871, People's Republic of China.
- Lin M School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing100871, People's Republic of China.
- Berger T Department of Clinical Psychology and Psychotherapy, University of Bern, Bern3012, Switzerland.
- 2020-01-14
Published in:
- Behavioural and cognitive psychotherapy. - 2020
adherence
cognitive behavioural therapy
drop-out
internet
social anxiety
therapist support
Anxiety
China
Cognitive Behavioral Therapy
Female
Humans
Internet
Treatment Outcome
English
BACKGROUND
Although internet-based cognitive behaviour therapy (ICBT) is an effective treatment for social anxiety disorder (SAD), a substantial proportion of patients do not achieve clinically significant improvement. More research is needed to identify which factors predict treatment adherence and outcomes.
AIMS
The aims of this study were to (1) identify demographic and clinical factors associated with treatment adherence and outcomes in ICBT for social anxiety in China, and (2) explore whether low-intensity therapist support results in improved treatment adherence or outcomes.
METHOD
Participants were assigned to either therapist-guided (N = 183) or self-guided ICBT (N = 72). Level of social anxiety was measured at both pre- and post-treatment. Treatment adherence and outcomes were analysed using a two-step linear and logistic regression approach. Clinical and demographic characteristics were examined.
RESULTS
No significant group differences were found for treatment adherence or outcomes between the therapist-guided and self-guided conditions. Participants diagnosed with SAD were significantly less likely to drop out (OR 0.531, p = .03) compared with subclinical participants with social anxiety symptoms. Older participants (B = 0.17, SE = 0.04, p = .008) and participants with a diagnosis of SAD (B = 0.16, SE = 0.44, p = .01) tended to complete more modules. Participants who completed more modules (B = 0.24, SE = 0.03, p = .01) and participants who identified as female (B = -0.20, SE = 0.18, p = .04) reported greater reductions in SAD symptoms.
CONCLUSIONS
Understanding of factors related to adherence and outcome is necessary to prevent drop-out and optimize outcome.
Although internet-based cognitive behaviour therapy (ICBT) is an effective treatment for social anxiety disorder (SAD), a substantial proportion of patients do not achieve clinically significant improvement. More research is needed to identify which factors predict treatment adherence and outcomes.
AIMS
The aims of this study were to (1) identify demographic and clinical factors associated with treatment adherence and outcomes in ICBT for social anxiety in China, and (2) explore whether low-intensity therapist support results in improved treatment adherence or outcomes.
METHOD
Participants were assigned to either therapist-guided (N = 183) or self-guided ICBT (N = 72). Level of social anxiety was measured at both pre- and post-treatment. Treatment adherence and outcomes were analysed using a two-step linear and logistic regression approach. Clinical and demographic characteristics were examined.
RESULTS
No significant group differences were found for treatment adherence or outcomes between the therapist-guided and self-guided conditions. Participants diagnosed with SAD were significantly less likely to drop out (OR 0.531, p = .03) compared with subclinical participants with social anxiety symptoms. Older participants (B = 0.17, SE = 0.04, p = .008) and participants with a diagnosis of SAD (B = 0.16, SE = 0.44, p = .01) tended to complete more modules. Participants who completed more modules (B = 0.24, SE = 0.03, p = .01) and participants who identified as female (B = -0.20, SE = 0.18, p = .04) reported greater reductions in SAD symptoms.
CONCLUSIONS
Understanding of factors related to adherence and outcome is necessary to prevent drop-out and optimize outcome.
- Language
-
- English
- Open access status
- closed
- Identifiers
-
- DOI 10.1017/S1352465819000730
- PMID 31928568
- Persistent URL
- https://sonar.ch/global/documents/47263
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