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Internet interventions · 2026

Predicting the path to guided ICBT success across referral pathway for moderate depression and anxiety disorders.

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Bjarke Jill, Gjestad Rolf, Nordgreen Tine

Аннотация

BACKGROUND: Depression and anxiety disorders are highly prevalent and burdensome conditions. Guided internet-delivered cognitive behavioral therapy (guided ICBT) is an effective treatment option, yet outcome prediction has shown inconsistent results. By analyzing patient-, treatment-, and system-related predictors within a single integrative framework, we aim to support a more nuanced understanding of what works for whom in which context.

METHOD: Naturalistic, open predictor-study in routine care comparing symptom reduction from pre-treatment (Pre) to post-treatment (Post), and from Pre to 6-month follow-up (FU), across general practitioner (GP) and self-referral pathways for depression and anxiety disorders. Patients self-reported symptoms Pre, Post, and FU. Symptom severity and change over time were assessed transdiagnostically applying a harmonized outcome score. Patient-related predictors were gender, age, education, employment status, duration of illness, and social support, while treatment-related predictors were treatment credibility and self-efficacy. The system-related predictor was referral pathways.

RESULTS: In the total sample (N = 460, GP = 305, Self-referred = 155), almost all patient-, treatment- and system-related predictors were associated with symptom reduction over time measured at Post and FU. Referral pathway statistically significant moderated the associations between most predictors and symptom reduction.

CONCLUSION: Using a novel integrative approach, we identified unique adjusted associations between predictors across patient-, treatment-, and system-related predictors and symptom reduction in guided ICBT. Referral pathway moderated their relevance, underscoring the importance of contextual factors in shaping treatment response in routine care.

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

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