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Dismantling, optimising, and personalising internet cognitive behavioural therapy for depression: a systematic review and component network meta-analysis using individual data
Kyoto Univ, Japan.
Kyoto Univ, Japan.
Univ Oxford, UK.
Karolinska Institutet, Sweden;Region Stockholm, Sweden;Linköping University, Sweden.
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2021 (English)In: Lancet psychiatry, ISSN 2215-0374, E-ISSN 2215-0366, Vol. 8, no 6, p. 500-511Article, review/survey (Refereed) Published
Sustainable development
SDG 3: Ensure healthy lives and promote well-being for all at all ages
Abstract [en]

Findings We identified 76 RCTs, including 48 trials contributing individual participant data (11 704 participants) and 28 trials with aggregate data (6474 participants). The participants' weighted mean age was 42.0 years and 12 406 (71%) of 17 521 reported were women. There was suggestive evidence that behavioural activation might be beneficial (iMD -1.83 [95% credible interval (CrI) -2.90 to -0.80]) and that relaxation might be harmful (1.20 [95% CrI 0.17 to 2.27]). Baseline severity emerged as the strongest prognostic factor for endpoint depression. Combining human and automated encouragement reduced dropouts from treatment (incremental odds ratio, 0.32 [95% CrI 0.13 to 0.93]). The risk of bias was low for the randomisation process, missing outcome data, or selection of reported results in most of the included studies, uncertain for deviation from intended interventions, and high for measurement of outcomes. There was moderate to high heterogeneity among the studies and their components. 511

Place, publisher, year, edition, pages
Elsevier, 2021. Vol. 8, no 6, p. 500-511
National Category
Psychiatry Applied Psychology
Research subject
Social Sciences, Psychology
Identifiers
URN: urn:nbn:se:lnu:diva-105830DOI: 10.1016/S2215-0366(21)00077-8ISI: 000654287100020PubMedID: 33957075Scopus ID: 2-s2.0-85107088551Local ID: 2021OAI: oai:DiVA.org:lnu-105830DiVA, id: diva2:1581790
Available from: 2021-07-26 Created: 2021-07-26 Last updated: 2022-02-08Bibliographically approved

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Kaldo, Viktor

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