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dc.contributor.authorBooth, A
dc.contributor.authorLewin, S
dc.contributor.authorGlenton, C
dc.contributor.authorMunthe-Kaas, H
dc.contributor.authorToews, I
dc.contributor.authorNoyes, J
dc.contributor.authorRashidian, A
dc.contributor.authorBerg, RC
dc.contributor.authorNyakang'o, B
dc.contributor.authorMeerpohl, JJ
dc.contributor.authorBohren, MA
dc.contributor.authorCarlsen, B
dc.contributor.authorColvin, CJ
dc.contributor.authorTunçalp, Ö
dc.contributor.authorGarside, R
dc.contributor.authorWainwright, M
dc.date.accessioned2020-06-22T15:51:15Z
dc.date.issued2018-01-25
dc.description.abstractBackground: The GRADE-CERQual (Confidence in Evidence from Reviews of Qualitative research) approach has been developed by the GRADE (Grading of Recommendations Assessment, Development and Evaluation) Working Group. The approach has been developed to support the use of findings from qualitative evidence syntheses in decision-making, including guideline development and policy formulation. CERQual includes four components for assessing how much confidence to place in findings from reviews of qualitative research (also referred to as qualitative evidence syntheses): (1) methodological limitations, (2) coherence, (3) adequacy of data and (4) relevance. This paper is part of a series providing guidance on how to apply CERQual and focuses on a probable fifth component, dissemination bias. Given its exploratory nature, we are not yet able to provide guidance on applying this potential component of the CERQual approach. Instead, we focus on how dissemination bias might be conceptualised in the context of qualitative research and the potential impact dissemination bias might have on an overall assessment of confidence in a review finding. We also set out a proposed research agenda in this area. Methods: We developed this paper by gathering feedback from relevant research communities, searching MEDLINE and Web of Science to identify and characterise the existing literature discussing or assessing dissemination bias in qualitative research and its wider implications, developing consensus through project group meetings, and conducting an online survey of the extent, awareness and perceptions of dissemination bias in qualitative research. Results: We have defined dissemination bias in qualitative research as a systematic distortion of the phenomenon of interest due to selective dissemination of studies or individual study findings. Dissemination bias is important for qualitative evidence syntheses as the selective dissemination of qualitative studies and/or study findings may distort our understanding of the phenomena that these syntheses aim to explore and thereby undermine our confidence in these findings. Dissemination bias has been extensively examined in the context of randomised controlled trials and systematic reviews of such studies. The effects of potential dissemination bias are formally considered, as publication bias, within the GRADE approach. However, the issue has received almost no attention in the context of qualitative research. Because of very limited understanding of dissemination bias and its potential impact on review findings in the context of qualitative evidence syntheses, this component is currently not included in the GRADE-CERQual approach. Conclusions: Further research is needed to establish the extent and impacts of dissemination bias in qualitative research and the extent to which dissemination bias needs to be taken into account when we assess how much confidence we have in findings from qualitative evidence syntheses.en_GB
dc.description.sponsorshipWHOen_GB
dc.description.sponsorshipNorad (Norwegian Agency for Development Cooperation)en_GB
dc.description.sponsorshipResearch Council of Norwayen_GB
dc.description.sponsorshipCochrane Methods Innovation Funden_GB
dc.description.sponsorshipSouth African Medical Research Councilen_GB
dc.identifier.citationVol. 13, 11en_GB
dc.identifier.doi10.1186/s13012-017-0694-5
dc.identifier.urihttp://hdl.handle.net/10871/121599
dc.language.isoenen_GB
dc.publisherBMCen_GB
dc.rights© The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.en_GB
dc.subjectQualitative evidence synthesisen_GB
dc.subjectQualitative researchen_GB
dc.subjectResearch designen_GB
dc.subjectMethodologyen_GB
dc.subjectSystematic review methodologyen_GB
dc.subjectDissemination biasen_GB
dc.subjectEvidence-based practiceen_GB
dc.subjectConfidenceen_GB
dc.subjectGRADEen_GB
dc.subjectPublication biasen_GB
dc.titleApplying GRADE-CERQual to qualitative evidence synthesis findings-paper 7: Understanding the potential impacts of dissemination biasen_GB
dc.typeArticleen_GB
dc.date.available2020-06-22T15:51:15Z
dc.descriptionThis is the final version. Available from BMC via the DOI in this record. en_GB
dc.descriptionAdditional materials are available on the GRADE-CERQual website (www.cerqual.org).en_GB
dc.identifier.eissn1748-5908
dc.identifier.journalImplementation Scienceen_GB
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2018-01-25
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2018-01-25
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-06-22T15:48:00Z
refterms.versionFCDVoR
refterms.dateFOA2020-06-22T15:51:19Z
refterms.panelAen_GB


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© The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0
International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and
reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to
the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver
(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Except where otherwise noted, this item's licence is described as © The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.