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Efficacy of digital cognitive behavioral therapy for moderate-to-severe symptoms of Generalised Anxiety Disorder: A randomized controlled trial

Abstract:

Background: Cognitive behavioral therapy (CBT) is an efficacious intervention for generalized anxiety disorder (GAD). Digital CBT may provide a scalable means of delivering CBT at a population level. We investigated the efficacy of a novel digital CBT program in those with GAD for outcomes of anxiety, worry, depressive symptoms, sleep difficulty, wellbeing, and participant‐specific quality of life.

Methods: This online, two‐arm parallel‐group superiority randomized controlled trial compared digital CBT with waitlist control in 256 participants with moderate‐to‐severe symptoms of GAD. Digital CBT (Daylight ), was delivered using participants’ own smartphones. Online assessments took place at baseline (Week 0; immediately preceding randomization), mid‐intervention (Week 3; from randomization), post‐intervention (Week 6; primary endpoint), and follow‐up (Week 10).

Results: Overall, 256 participants were randomized and intention‐to‐treat analysis found Daylight reduced symptoms of anxiety compared with waitlist control at post‐intervention, reflecting a large effect size (adjusted difference [95% CI]: 3.22 [2.14, 4.31],  = 1.08). Significant improvements were found for measures of worry; depressive symptoms, sleep difficulty, wellbeing, and participant‐specific quality of life.

Conclusion: Digital CBT (Daylight ) appears to be safe and efficacious for symptoms of anxiety, worry, and further measures of mental health compared with waitlist control in individuals with GAD.

Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1002/da.23079

Authors


Publisher:
Wiley
Journal:
Depression and Anxiety More from this journal
Volume:
37
Issue:
12
Pages:
1168-1178
Publication date:
2020-07-29
Acceptance date:
2020-07-01
DOI:
EISSN:
1520-6394
ISSN:
1091-4269


Language:
English
Keywords:
Pubs id:
1119237
Local pid:
pubs:1119237
Deposit date:
2020-07-16
ARK identifier:

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