Network meta-analysis examining efficacy of components of cognitive behavioural therapy for insomnia
- PMID: 39504928
- DOI: 10.1016/j.cpr.2024.102507
Network meta-analysis examining efficacy of components of cognitive behavioural therapy for insomnia
Erratum in
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Corrigendum to "Network meta-analysis examining efficacy of components of cognitive behavioural therapy for insomnia' [Clinical Psychology Review 114 (2024) 102507].Clin Psychol Rev. 2024 Dec;114:102519. doi: 10.1016/j.cpr.2024.102519. Epub 2024 Nov 21. Clin Psychol Rev. 2024. PMID: 39577024 No abstract available.
Abstract
Cognitive behavioural therapy for insomnia (CBTI) is recommended as first-line treatment for insomnia. CBT-I is a multi-component intervention comprising psychoeducation, sleep restriction, stimulus control, cognitive, and relaxation therapy. The relative efficacy of its components has yet to be investigated with state-of-the-art meta-analytic methods. PubMed, MEDLINE, PsycINFO, PsycARTICLES, and CINAHL were searched according to a pre-registered protocol using search terms indicative of insomnia and CBTI. Baseline-to-post-treatment effect sizes (Cohen's d) were calculated in a component network meta-analysis. Eighty studies representing 15,351 participants (mean age 44.9 years, 70.1 % female) were included. For the primary outcome insomnia severity, a significant positive effect for sleep restriction therapy (d = -0.45; 95 % CI: [-0.63; -0.36]) was found. Overall, the results suggest that sleep restriction therapy improves self-reported sleep continuity and sleep quality, and stimulus control therapy improves self-reported and objective total sleep time. No significant effects of psychoeducation, relaxation therapy, and cognitive therapy, and no further significant effects of any CBT-I component on objective sleep parameters were found. The most common sources of bias were a lack of blinding, missing outcome data, and the absence of study protocols. The current results suggest that sleep restriction therapy and stimulus control therapy are the most effective components of CBT-I.
Keywords: CBT-I; Cognitive behavioural therapy; Component network meta-analysis; Insomnia disorder.
Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.
Conflict of interest statement
Declaration of competing interest K. Spiegelhalder received payments for lectures from Psychotherapy Training Institutes. D. D. Ebert is a stakeholder of the GET.ON Institut für Online Gesundheitstrainings (operating under the registered brand ‘HelloBetter’), which aims to implement scientific findings related to digital health interventions into routine care. HelloBetter distributes a digital intervention for insomnia and has served as a consultant to/on the scientific advisory boards of Sanofi, Novartis, Minddistrict, Lantern, Schoen Kliniken, Ideamed, German health insurance companies (BARMER, Techniker Krankenkasse) and a number of federal chambers for psychotherapy. All other authors have no conflict of interest to disclose.
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