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Predictors of Dropout, Outcome, and Relapse in Web-Based Guided Self-Help Cognitive Behavioral Therapy-Enhanced Among
Bernou Melisse1,2,3,4, Margo de Jonge5, Elske van den Berg5
1Co-Eur, Utrecht, the Netherlands.
Predictors of dropout from web-based guided self-help cognitive behavior therapy-enhanced (CBT-E) for binge-eating disorder included non-Dutch ethnicity, male sex, and lower education. Comorbid psychopathology predicted poorer immediate treatment outcomes.
Area of Science:
- Psychiatry
- Psychology
- Behavioral Science
Background:
- Web-based guided self-help cognitive behavior therapy-enhanced (CBT-E) is a treatment for binge-eating disorder.
- Understanding predictors of dropout, treatment outcome, and relapse is crucial for optimizing this therapy.
- Data were gathered from a randomized controlled trial investigating CBT-E efficacy.
Purpose of the Study:
- To identify predictors of dropout from web-based guided self-help CBT-E for binge-eating disorder.
- To examine predictors of treatment outcome and relapse in patients undergoing this therapy.
- To analyze demographic and psychopathological factors influencing treatment adherence and effectiveness.
Main Methods:
- Logistic regression analyses were used to predict dropout and relapse.
- Multiple regression analysis assessed predictors of treatment outcome using residual change scores.
- Predictors included demographics, comorbid psychopathology, binge eating frequency, and eating disorder concerns, all measured at baseline.
Main Results:
- Dropout was associated with non-Dutch ethnicity, male sex, and lower educational attainment.
- Comorbid psychopathology predicted poorer treatment outcomes immediately post-treatment but not at follow-up.
- No significant predictors for relapse were identified in the study.
Conclusions:
- While comorbid psychopathology initially predicted less treatment benefit, patients showed improvement 12 weeks post-treatment.
- Non-Dutch ethnicity, male sex, and lower education levels are associated with higher dropout rates.
- Culturally sensitive and tailored interventions may be beneficial for reducing dropout in specific patient groups.
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