Dismantling, personalising and optimising internet cognitive-behavioural therapy for depression: a study protocol for individual participant data component network meta-analysis.
- Furukawa TA Departments of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/ School of Public Health, Kyoto, Japan.
- Karyotaki E Department of Clinical, Neuro-, and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
- Suganuma A Departments of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine/ School of Public Health, Kyoto, Japan.
- Pompoli A Psychiatric Rehabilitation Clinic Villa San Pietro, Trento, Italy.
- Ostinelli EG Department of Health Sciences, University of Milan, Milan, Italy.
- Cipriani A Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK.
- Cuijpers P Department of Clinical, Neuro-, and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
- Efthimiou O Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.
- 2019-02-25
Published in:
- BMJ open. - 2019
depressive disorder
individual participant data meta-analysis
internet-delivered cognitive-behavioral therapy
network meta-analysis
Cognitive Behavioral Therapy
Depressive Disorder
Humans
Internet
Network Meta-Analysis
Outcome Assessment, Health Care
Randomized Controlled Trials as Topic
Research Design
Systematic Reviews as Topic
Systems Analysis
English
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-to-face 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.
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-to-face 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.
- Language
-
- English
- Open access status
- gold
- Identifiers
-
- DOI 10.1136/bmjopen-2018-026137
- PMID 30798295
- Persistent URL
- https://sonar.ch/global/documents/278970
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