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dc.contributor.authorKaryotaki, Eirini
dc.contributor.authorRiper, Heleen
dc.contributor.authortwisk, jos
dc.contributor.authorHoogendoorn, Adriaan
dc.contributor.authorKleiboer, A.
dc.contributor.authorMira, Adriana
dc.contributor.authorMackinnon, Andrew
dc.contributor.authorMeyer, B.
dc.contributor.authorBotella, Cristina
dc.contributor.authorLittlewood, Elizabeth
dc.contributor.authorAndersson, Gerhard
dc.contributor.authorChristensen, Helen
dc.contributor.authorKlein, Jan P.
dc.contributor.authorSchröder, Johanna
dc.contributor.authorBretón-López, Juana
dc.contributor.authorScheider, Justine
dc.contributor.authorGriffiths, K.
dc.contributor.authorFarrer, Louise
dc.contributor.authorHuibers, M. J. H.
dc.contributor.authorPhillips, Rachel
dc.contributor.authorGilbody, Simon
dc.contributor.authorMoritz, Steffen
dc.contributor.authorBerger, Thomas
dc.contributor.authorpop, victor
dc.contributor.authorSpek, Viola
dc.contributor.authorCuijpers, Pim
dc.date.accessioned2017-05-24T07:41:50Z
dc.date.available2017-05-24T07:41:50Z
dc.date.issued2017-02
dc.identifier.citationKARYOTAKI, Eirini, et al. Efficacy of Self-guided Internet-Based Cognitive Behavioral Therapy in the Treatment of Depressive Symptoms: A Meta-analysis of Individual Participant Data. JAMA psychiatry, 2017, vol. 74, no 4, p. 351-359.ca_CA
dc.identifier.urihttp://hdl.handle.net/10234/167633
dc.description.abstract- Importance: Self-guided internet-based cognitive behavioral therapy (iCBT) has the potential to increase access and availability of evidence-based therapy and reduce the cost of depression treatment. - Objectives: To estimate the effect of self-guided iCBT in treating adults with depressive symptoms compared with controls and evaluate the moderating effects of treatment outcome and response. - Data Sources: A total of 13 384 abstracts were retrieved through a systematic literature search in PubMed, Embase, PsycINFO, and Cochrane Library from database inception to January 1, 2016. - Study Selection: Randomized clinical trials in which self-guided iCBT was compared with a control (usual care, waiting list, or attention control) in individuals with symptoms of depression. - Data Extraction and Synthesis: Primary authors provided individual participant data from 3876 participants from 13 of 16 eligible studies. Missing data were handled using multiple imputations. Mixed-effects models with participants nested within studies were used to examine treatment outcomes and moderators. - Main Outcomes and Measures: Outcomes included the Beck Depression Inventory, Center for Epidemiological Studies–Depression Scale, and 9-item Patient Health Questionnaire scores. Scales were standardized across the pool of the included studies. - Results: Of the 3876 study participants, the mean (SD) age was 42.0 (11.7) years, 2531 (66.0%) of 3832 were female, 1368 (53.1%) of 2574 completed secondary education, and 2262 (71.9%) of 3146 were employed. Self-guided iCBT was significantly more effective than controls on depressive symptoms severity (β = −0.21; Hedges g  = 0.27) and treatment response (β = 0.53; odds ratio, 1.95; 95% CI, 1.52-2.50; number needed to treat, 8). Adherence to treatment was associated with lower depressive symptoms (β = −0.19; P = .001) and greater response to treatment (β = 0.90; P < .001). None of the examined participant and study-level variables moderated treatment outcomes. - Conclusions and Relevance: Self-guided iCBT is effective in treating depressive symptoms. The use of meta-analyses of individual participant data provides substantial evidence for clinical and policy decision making because self-guided iCBT can be considered as an evidence-based first-step approach in treating symptoms of depression. Several limitations of the iCBT should be addressed before it can be disseminated into routine care.ca_CA
dc.description.sponsorShipThis work was performed under grant 603098 for the European Comparative Effectiveness Research on Internet-based Depression Treatment (E-COMPARED) project funded by the European Commission’s Seventh Framework Program. At the time of the study, Dr Griffiths was supported by National Health & Medical Research Council Fellowship 1059620.ca_CA
dc.format.extent10 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherAmerican Medical Associationca_CA
dc.relation.isPartOfJAMA Psychiatry. 2017;74(4)ca_CA
dc.rights© 2017 American Medical Association. All Rights Reserved.ca_CA
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/*
dc.subjectdepressive disordersca_CA
dc.subjectotolaryngologyca_CA
dc.subjectpsychiatryca_CA
dc.subjectsychotherapyca_CA
dc.subjecthealth care qualityca_CA
dc.subjectotologyca_CA
dc.titleEfficacy of Self-guided Internet-Based Cognitive Behavioral Therapy in the Treatment of Depressive Symptoms: A Meta-analysis of Individual Participant Dataca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttp://dx.doi.org/10.1001/jamapsychiatry.2017.0044
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttp://jamanetwork.com/journals/jamapsychiatry/article-abstract/2604310ca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA


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