Predictors of treatment outcomes and adherence in internet-based cognitive behavioral therapy for social anxiety in China.
Behav Cogn Psychother
; 48(3): 291-303, 2020 May.
Article
en En
| MEDLINE
| ID: mdl-31928568
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.
Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Ansiedad
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Terapia Cognitivo-Conductual
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Internet
Tipo de estudio:
Prognostic_studies
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Risk_factors_studies
Límite:
Female
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Humans
País como asunto:
Asia
Idioma:
En
Año:
2020
Tipo del documento:
Article