articleJBI Evidence SynthesisJan 31, 2020GREEN OA

Methodological guidance for the conduct of mixed methods systematic reviews

University of Adelaide · Cardiff University · +7 more institutions

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Abstract

Objective

The objective of this paper is to outline the updated methodological approach for conducting a JBI mixed methods systematic review with a focus on data synthesis; specifically, methods related to how data are combined and the overall integration of the quantitative and qualitative evidence.

Introduction

Mixed methods systematic reviews provide a more complete basis for complex decision-making than that currently offered by single method reviews, thereby maximizing their usefulness to clinical and policy decision-makers. Although mixed methods systematic reviews are gaining traction, guidance regarding the methodology of combining quantitative and qualitative data is limited. In 2014, the JBI Mixed Methods Review Methodology Group developed guidance for mixed methods systematic reviews; however, since the introduction of this guidance, there have been significant developments in mixed methods synthesis. As such, the methodology group recognized the need to revise the guidance to align it with the current state of knowledge on evidence synthesis methodology METHODS:: Between 2015 and 2019, the JBI Mixed Methods Review Methodology Group undertook an extensive review of the literature, held annual face-to-face meetings (which were supplemented by teleconferences and regular email correspondence), sought advice from experts in the field, and presented at scientific conferences. This process led to the development of guidance in the form of a chapter in the JBI Manual for Evidence Synthesis, the official guidance for conducting JBI systematic reviews. In 2019, the guidance was ratified by the JBI International Scientific Committee.

Citation impact

654
total citations
FWCI
39.63
Percentile
100%
References
41
Citations per year

Authors

9

Topics & keywords

Keywords
  • Systematic review
  • Management science
  • Multimethodology
  • Evidence-based practice
  • Best practice
  • Computer science
  • Medicine
  • MEDLINE
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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