JBI's systematic reviews: data extraction and synthesis.
This article is the fifth in a series on the systematic review from the Joanna Briggs Institute, an international collaborative supporting evidence-based practice in nursing, medicine, and allied health fields. The purpose of the series is to describe how to conduct a systematic review-one step at a time. This article details the data extraction and data synthesis stages, with an emphasis on conducting a meta-analysis of quantitative data.
Zachary Munn is a senior research fellow, Catalin Tufanaru is a research fellow, and Edoardo Aromataris is the director of synthesis science, all at the Joanna Briggs Institute in the School of Translational Health Science, University of Adelaide, South Australia. Contact author: Zachary Munn, zachary.munn@adelaide.edu.au. The authors have disclosed no potential conflicts of interest, financial or otherwise. The Joanna Briggs Institute aims to inform health care decision making globally through the use of research evidence. It has developed innovative methods for appraising and synthesizing evidence; facilitating the transfer of evidence to health systems, health care professionals, and consumers; and creating tools to evaluate the impact of research on outcomes. For more on the institute's approach to weighing the evidence for practice, go to http://joannabriggs.org/jbi-approach.html.
Zachary
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Munn
Catalin
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Tufanaru
Edoardo
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Aromataris
D000047:Academies and Institutes; D003625:Data Collection / Q000379:methods*; D055317:Evidence-Based Practice; D006801:Humans; D015399:Nursing Research / Q000379:methods*; D012196:Review Literature as Topic; D013223:Statistics as Topic / Q000379:methods*