Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/112536
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Type: Journal article
Title: A mixed-methods approach to systematic reviews
Author: Pearson, A.
White, H.
Bath-Hextall, F.
Salmond, S.
Apostolo, J.
Kirkpatrick, P.
Citation: International Journal of Evidence-Based Healthcare, 2015; 13(3):121-131
Publisher: The Joanna Briggs Institute
Issue Date: 2015
ISSN: 1744-1595
1744-1609
Statement of
Responsibility: 
Alan Pearson, Fiona Bath-Hextall, Susan Salmond, Joao Apostolo and Pamela Kirkpatrick
Abstract: There are an increasing number of published single-method systematic reviews that focus on different types of evidence related to a particular topic. As policy makers and practitioners seek clear directions for decision-making from systematic reviews, it is likely that it will be increasingly difficult for them to identify 'what to do' if they are required to find and understand a plethora of syntheses related to a particular topic.Mixed-methods systematic reviews are designed to address this issue and have the potential to produce systematic reviews of direct relevance to policy makers and practitioners.On the basis of the recommendations of the Joanna Briggs Institute International Mixed Methods Reviews Methodology Group in 2012, the Institute adopted a segregated approach to mixed-methods synthesis as described by Sandelowski et al., which consists of separate syntheses of each component method of the review. Joanna Briggs Institute's mixed-methods synthesis of the findings of the separate syntheses uses a Bayesian approach to translate the findings of the initial quantitative synthesis into qualitative themes and pooling these with the findings of the initial qualitative synthesis.
Keywords: Evidence-based healthcare; evidence synthesis; mixed-methods research; mixed-methods reviews; qualitative research; systematic reviews
Rights: © 2015 University of Adelaide, Joanna Briggs Institute. Unauthorized reproduction of this article is prohibited.
DOI: 10.1097/XEB.0000000000000052
Published version: http://dx.doi.org/10.1097/xeb.0000000000000052
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