Thielecke J, Kuper P, Ebert D, Cuijpers P, Smit F, Riper H, Lehr D, Buntrock C (2024)
Publication Type: Journal article
Publication year: 2024
Book Volume: 27
Article Number: e13951
Journal Issue: 1
DOI: 10.1111/hex.13951
Background: Evidence shows that online interventions could prevent depression. However, to improve the effectiveness of preventive online interventions in individuals with subthreshold depression, it is worthwhile to study factors influencing intervention outcomes. Outcome expectancy has been shown to predict treatment outcomes in psychotherapy for depression. However, little is known about whether this also applies to depression prevention. The aim of this study was to investigate the role of participants' outcome expectancy in an online depression prevention intervention. Methods: A secondary data analysis was conducted using data from two randomised-controlled trials (N = 304). Multilevel modelling was used to explore the effect of outcome expectancy on depressive symptoms and close-to-symptom-free status postintervention (6–7 weeks) and at follow-up (3–6 months). In a subsample (n = 102), Cox regression was applied to assess the effect on depression onset within 12 months. Explorative analyses included baseline characteristics as possible moderators. Outcome expectancy did not predict posttreatment outcomes or the onset of depression. Results: Small effects were observed at follow-up for depressive symptoms (β = −.39, 95% confidence interval [CI]: [−0.75, −0.03], p =.032, p
APA:
Thielecke, J., Kuper, P., Ebert, D., Cuijpers, P., Smit, F., Riper, H.,... Buntrock, C. (2024). Does outcome expectancy predict outcomes in online depression prevention? Secondary analysis of randomised-controlled trials. Health Expectations, 27(1). https://doi.org/10.1111/hex.13951
MLA:
Thielecke, Janika, et al. "Does outcome expectancy predict outcomes in online depression prevention? Secondary analysis of randomised-controlled trials." Health Expectations 27.1 (2024).
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