Internet-Based Cognitive Behavioral Therapy for Depression

Eirini Karyotaki(University of Bern), Orestis Efthimiou(University of Bern), Clara Miguel(Vrije Universiteit Amsterdam), Frederic Maas genannt Bermpohl(University of Wuppertal), Toshi A. Furukawa(University of Wuppertal), Pim Cuijpers(Vrije Universiteit Amsterdam), Heleen Riper(GGZ inGeest), Vikram Patel(Harvard University), Adriana Mira(Universitat de València), Alan W. Gemmil(Heidelberg Repatriation Hospital), Albert Yeung(Harvard University), Alfred Lange(University of Amsterdam), Alishia D. Williams(UNSW Sydney), Andrew Mackinnon(The University of Melbourne), Anna Geraedts(HumanTotalCare (Netherlands)), Annemieke van Straten(Vrije Universiteit Amsterdam), Björn Meyer(City, University of London), Cecilia Björkelund(University of Gothenburg), Christine Knaevelsrud(Freie Universität Berlin), Christopher G. Beevers(Texas Research Institute), Cristina Botella(Universitat Jaume I), Daniel R. Strunk(The Ohio State University), David C. Mohr(Northwestern University), David Daniel Ebert(Friedrich-Alexander-Universität Erlangen-Nürnberg), David Kessler(University Hospitals Bristol NHS Foundation Trust), Derek Richards(Trinity College Dublin), Elizabeth Littlewood(University of York), Erik Forsell(Karolinska Institutet), Fan Feng(Harvard University), Fang Wang(Chinese Academy of Medical Sciences & Peking Union Medical College), Gerhard Andersson(Linköping University), Heather D. Hadjistavropoulos(University of Regina), Heleen Christensen(Black Dog Institute), Iony D. Ezawa(The Ohio State University), Isabella Choi(The University of Sydney), Isabelle M. Rosso(Harvard University), Jan Philipp Klein(University of Lübeck), Jason Shumake(Texas Research Institute), Javier García‐Campayo(Red de Investigación en Actividades Preventivas y Promoción de la Salud), Jeannette Milgrom(Heidelberg Repatriation Hospital), Jessica Smith(Imperial College London), Jesús Montero‐Marín(Warneford Hospital), Jill M. Newby(Black Dog Institute), Juana Bretón‐López(Universitat Jaume I), Justine Schneider(University of Nottingham), Kristofer Vernmark(Linköping University), Lara Bücker(Universität Hamburg), Lisa Sheeber(Oregon Research Institute), Lisanne Warmerdam(Zorginstituut Nederland), Louise M. Farrer(Australian National University), Manuel Heinrich(Freie Universität Berlin), Marcus J. H. Huibers(Vrije Universiteit Amsterdam), Marie Kivi(University of Gothenburg), Martin Kraepelien(Karolinska Institutet), Nicholas R. Forand(The Ohio State University Wexner Medical Center), Nicky Pugh(University of Regina), Nils Lindefors(Karolinska Institutet), Ove Lintvedt, Pavle Zagorscak(Freie Universität Berlin), Per Carlbring(Stockholm University), Rachel Phillips(Imperial College London), Robert Johansson(Stockholm University), Ronald C. Kessler(Harvard University), Sally Brabyn(SilverCloud (Ireland)), Sarah Perini, Scott L. Rauch(McLean Hospital), Simon Gilbody(University of York), Steffen Moritz(Universität Hamburg), Thomas Berger(University of Bern), Victor J. Pop(Tilburg University), Viktor Kaldo(Linnaeus University), Viola Spek(Tilburg University), Yvonne Forsell(Karolinska Institutet)
JAMA Psychiatry
January 20, 2021
Cited by 862Open Access
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Abstract

Importance: Personalized treatment choices would increase the effectiveness of internet-based cognitive behavioral therapy (iCBT) for depression to the extent that patients differ in interventions that better suit them. Objective: To provide personalized estimates of short-term and long-term relative efficacy of guided and unguided iCBT for depression using patient-level information. Data Sources: We searched PubMed, Embase, PsycInfo, and Cochrane Library to identify randomized clinical trials (RCTs) published up to January 1, 2019. Study Selection: Eligible RCTs were those comparing guided or unguided iCBT against each other or against any control intervention in individuals with depression. Available individual patient data (IPD) was collected from all eligible studies. Depression symptom severity was assessed after treatment, 6 months, and 12 months after randomization. Data Extraction and Synthesis: We conducted a systematic review and IPD network meta-analysis and estimated relative treatment effect sizes across different patient characteristics through IPD network meta-regression. Main Outcomes and Measures: Patient Health Questionnaire-9 (PHQ-9) scores. Results: Of 42 eligible RCTs, 39 studies comprising 9751 participants with depression contributed IPD to the IPD network meta-analysis, of which 8107 IPD were synthesized. Overall, both guided and unguided iCBT were associated with more effectiveness as measured by PHQ-9 scores than control treatments over the short term and the long term. Guided iCBT was associated with more effectiveness than unguided iCBT (mean difference [MD] in posttreatment PHQ-9 scores, -0.8; 95% CI, -1.4 to -0.2), but we found no evidence of a difference at 6 or 12 months following randomization. Baseline depression was found to be the most important modifier of the relative association for efficacy of guided vs unguided iCBT. Differences between unguided and guided iCBT in people with baseline symptoms of subthreshold depression (PHQ-9 scores 5-9) were small, while guided iCBT was associated with overall better outcomes in patients with baseline PHQ-9 greater than 9. Conclusions and Relevance: In this network meta-analysis with IPD, guided iCBT was associated with more effectiveness than unguided iCBT for individuals with depression, benefits were more substantial in individuals with moderate to severe depression. Unguided iCBT was associated with similar effectiveness among individuals with symptoms of mild/subthreshold depression. Personalized treatment selection is entirely possible and necessary to ensure the best allocation of treatment resources for depression.


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