Dismantling, personalising and optimising internet cognitive-behavioural therapy for depression: A study protocol for individual participant data component network meta-analysis

T.A. Furukawa, E. Karyotaki, A. Suganuma, A. Pompoli, E.G. Ostinelli, A. Cipriani, P. Cuijpers, O. Efthimiou

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Introduction Psychotherapy is a complex intervention, consisting of various components and being implemented flexibly in consideration of individual patient’s characteristics. It is then of utmost importance to know which of the various components or combinations thereof are more efficacious, what their specific effect sizes are and which types of patients may benefit more from different components or their combinations. Methods and analysis Internet-delivered cognitive– behavioural therapy (iCBT) offers a unique opportunity to systematically review and quantitatively disentangle the efficacy of various components because, unlike face-toface cognitive–behavioural therapy, it allows identification of constituent components that are actually delivered to patients. We will systematically identify all randomised controlled trials that compared any form of iCBT against another form or a control intervention in the acute phase treatment of adult depression. We will apply component network meta-analysis (cNMA) to dismantle efficacy of individual components. We will use individual participant data in the cNMA to identify participant-level prognostic factors and effect modifiers for different components. Ethics and dissemination The investigators of the primary trials will have obtained ethical approval for the data used in the present study and for sharing the data, if this was necessary, according to local requirements and was not covered from the initial ethic assessment. Results from this study will be published in peer-reviewed journals and presented at relevant conferences. PrOsPErO registration number CRD42018104683
Original languageEnglish
Article numbere026137
Pages (from-to)1-9
Number of pages9
JournalBMJ Open
Volume8
Issue number11
DOIs
Publication statusPublished - 22 Feb 2019

Bibliographical note

Online issue publication: February 22, 2019

Keywords

  • depressive disorder
  • individual participant data meta-analysis
  • internet-delivered cognitive-behavioral therapy
  • network meta-analysis

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