Dismantling, optimising, and personalising internet cognitive behavioural therapy for depression: a systematic review and component network meta-analysis using individual participant data. (June 2021)
- Record Type:
- Journal Article
- Title:
- Dismantling, optimising, and personalising internet cognitive behavioural therapy for depression: a systematic review and component network meta-analysis using individual participant data. (June 2021)
- Main Title:
- Dismantling, optimising, and personalising internet cognitive behavioural therapy for depression: a systematic review and component network meta-analysis using individual participant data
- Authors:
- Furukawa, Toshi A
Suganuma, Aya
Ostinelli, Edoardo G
Andersson, Gerhard
Beevers, Christopher G
Shumake, Jason
Berger, Thomas
Boele, Florien Willemijn
Buntrock, Claudia
Carlbring, Per
Choi, Isabella
Christensen, Helen
Mackinnon, Andrew
Dahne, Jennifer
Huibers, Marcus J H
Ebert, David D
Farrer, Louise
Forand, Nicholas R
Strunk, Daniel R
Ezawa, Iony D
Forsell, Erik
Kaldo, Viktor
Geraedts, Anna
Gilbody, Simon
Littlewood, Elizabeth
Brabyn, Sally
Hadjistavropoulos, Heather D
Schneider, Luke H
Johansson, Robert
Kenter, Robin
Kivi, Marie
Björkelund, Cecilia
Kleiboer, Annet
Riper, Heleen
Klein, Jan Philipp
Schröder, Johanna
Meyer, Björn
Moritz, Steffen
Bücker, Lara
Lintvedt, Ove
Johansson, Peter
Lundgren, Johan
Milgrom, Jeannette
Gemmill, Alan W
Mohr, David C
Montero-Marin, Jesus
Garcia-Campayo, Javier
Nobis, Stephanie
Zarski, Anna-Carlotta
O'Moore, Kathleen
Williams, Alishia D
Newby, Jill M
Perini, Sarah
Phillips, Rachel
Schneider, Justine
Pots, Wendy
Pugh, Nicole E
Richards, Derek
Rosso, Isabelle M
Rauch, Scott L
Sheeber, Lisa B
Smith, Jessica
Spek, Viola
Pop, Victor J
Ünlü, Burçin
van Bastelaar, Kim M P
van Luenen, Sanne
Garnefski, Nadia
Kraaij, Vivian
Vernmark, Kristofer
Warmerdam, Lisanne
van Straten, Annemieke
Zagorscak, Pavle
Knaevelsrud, Christine
Heinrich, Manuel
Miguel, Clara
Cipriani, Andrea
Efthimiou, Orestis
Karyotaki, Eirini
Cuijpers, Pim
… (more) - Abstract:
- Summary: Background: Internet cognitive behavioural therapy (iCBT) is a viable delivery format of CBT for depression. However, iCBT programmes include training in a wide array of cognitive and behavioural skills via different delivery methods, and it remains unclear which of these components are more efficacious and for whom. Methods: We did a systematic review and individual participant data component network meta-analysis (cNMA) of iCBT trials for depression. We searched PubMed, PsycINFO, Embase, and the Cochrane Library for randomised controlled trials (RCTs) published from database inception to Jan 1, 2019, that compared any form of iCBT against another or a control condition in the acute treatment of adults (aged ≥18 years) with depression. Studies with inpatients or patients with bipolar depression were excluded. We sought individual participant data from the original authors. When these data were unavailable, we used aggregate data. Two independent researchers identified the included components. The primary outcome was depression severity, expressed as incremental mean difference (iMD) in the Patient Health Questionnaire-9 (PHQ-9) scores when a component is added to a treatment. We developed a web app that estimates relative efficacies between any two combinations of components, given baseline patient characteristics. This study is registered in PROSPERO, CRD42018104683. Findings: We identified 76 RCTs, including 48 trials contributing individual participant dataSummary: Background: Internet cognitive behavioural therapy (iCBT) is a viable delivery format of CBT for depression. However, iCBT programmes include training in a wide array of cognitive and behavioural skills via different delivery methods, and it remains unclear which of these components are more efficacious and for whom. Methods: We did a systematic review and individual participant data component network meta-analysis (cNMA) of iCBT trials for depression. We searched PubMed, PsycINFO, Embase, and the Cochrane Library for randomised controlled trials (RCTs) published from database inception to Jan 1, 2019, that compared any form of iCBT against another or a control condition in the acute treatment of adults (aged ≥18 years) with depression. Studies with inpatients or patients with bipolar depression were excluded. We sought individual participant data from the original authors. When these data were unavailable, we used aggregate data. Two independent researchers identified the included components. The primary outcome was depression severity, expressed as incremental mean difference (iMD) in the Patient Health Questionnaire-9 (PHQ-9) scores when a component is added to a treatment. We developed a web app that estimates relative efficacies between any two combinations of components, given baseline patient characteristics. This study is registered in PROSPERO, CRD42018104683. 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. Interpretation: The individual patient data cNMA revealed potentially helpful, less helpful, or harmful components and delivery formats for iCBT packages. iCBT packages aiming to be effective and efficient might choose to include beneficial components and exclude ones that are potentially detrimental. Our web app can facilitate shared decision making by therapist and patient in choosing their preferred iCBT package. Funding: Japan Society for the Promotion of Science. … (more)
- Is Part Of:
- Lancet. Volume 8:Number 6(2021)
- Journal:
- Lancet
- Issue:
- Volume 8:Number 6(2021)
- Issue Display:
- Volume 8, Issue 6 (2021)
- Year:
- 2021
- Volume:
- 8
- Issue:
- 6
- Issue Sort Value:
- 2021-0008-0006-0000
- Page Start:
- 500
- Page End:
- 511
- Publication Date:
- 2021-06
- Subjects:
- Psychiatry -- Periodicals
616.89 - Journal URLs:
- http://www.sciencedirect.com/science/journal/22150366 ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/S2215-0366(21)00077-8 ↗
- Languages:
- English
- ISSNs:
- 2215-0366
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5146.092000
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