AHRQ series on complex intervention systematic reviews-paper 5: advanced analytic methods

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dc.contributor.authorPigott, Terrien
dc.contributor.authorNoyes, Janeen
dc.contributor.authorUmscheid, Craig A.en
dc.contributor.authorMyers, Evanen
dc.contributor.authorMorton, Sally C.en
dc.contributor.authorFu, Rongweien
dc.contributor.authorSanders-Schmidler, Gillian D.en
dc.contributor.authorDevine, Bethen
dc.contributor.authorMurad, M. Hassanen
dc.contributor.authorKelly, Michael P.en
dc.contributor.authorFonnesbeck, Christopheren
dc.contributor.authorKahwati, Leila C.en
dc.contributor.authorBeretvas, S. Natashaen
dc.contributor.departmentStatisticsen
dc.date.accessioned2019-09-19T13:06:55Zen
dc.date.available2019-09-19T13:06:55Zen
dc.date.issued2017-10en
dc.description.abstractBackground and Objective: Advanced analytic methods for synthesizing evidence about complex interventions continue to be developed. In this paper, we emphasize that the specific research question posed in the review should be used as a guide for choosing the appropriate analytic method. Methods: We present advanced analytic approaches that address four common questions that guide reviews of complex interventions: (1) How effective is the intervention? (2) For whom does the intervention work and in what contexts? (3) What happens when the intervention is implemented? and (4) What decisions are possible given the results of the synthesis? Conclusion: The analytic approaches presented in this paper are particularly useful when each primary study differs in components, mechanisms of action, context, implementation, timing, and many other domains. (C) 2017 The Author(s). Published by Elsevier Inc.en
dc.description.notesThis project was funded under Contract No: Scientific Resource Center for the EPC Program (290-2012-00004-C); ECRI Institute (HHSA 290-2015-00005I); Duke University (HHSA 290-2015-00004I); Oregon Health & Science University (HHSA 290-2015-00009I); Mayo Clinic (HHSA 290-2015-00013I); Research Triangle Institute (HHSA 290-2015-00011I); Vanderbilt University (HHSA 290-2015-00003I) from the Agency for Healthcare Research and Quality, U. S. Department of Health and Human Services. The authors of this article are responsible for its content, including any clinical treatment recommendations. No statement in this article should be construed as an official position of AHRQ or of the U. S. Department of Health and Human Services.en
dc.description.sponsorshipScientific Resource Center [290-2012-00004-C]; ECRI Institute [HHSA 290-2015-00005I]; Duke University [HHSA 290-2015-00004I]; Oregon Health & Science University [HHSA 290-2015-00009I]; Mayo Clinic [HHSA 290-2015-00013I]; Research Triangle Institute [HHSA 290-2015-00011I]; Vanderbilt University from the Agency for Healthcare Research and Quality, U. S. Department of Health and Human Services [HHSA 290-2015-00003I]en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1016/j.jclinepi.2017.06.015en
dc.identifier.eissn1878-5921en
dc.identifier.issn0895-4356en
dc.identifier.pmid28720512en
dc.identifier.urihttp://hdl.handle.net/10919/93772en
dc.identifier.volume90en
dc.language.isoenen
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectSystematic reviewen
dc.subjectQualitative synthesisen
dc.subjectMeta-analysisen
dc.subjectDecision analysisen
dc.subjectMeta-regressionen
dc.subjectBayesian analysisen
dc.subjectFinite mixture modelsen
dc.titleAHRQ series on complex intervention systematic reviews-paper 5: advanced analytic methodsen
dc.title.serialJournal of Clinical Epidemiologyen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

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