Digital Resources
 Data Extraction in Mixed method Systematic Reviews |  Data integration in mixed methods systematic reviews | ||
 Data Transformation in Mixed Methods Systematic ReviewsWhen and how to use data transformation in mixed methods systematic reviews |  Which approach? Convergent integrated or convergent segregated?An excerpt from the JBI LIVE webinar, ‘The JBI Approach to Mixed Methods Systematic Reviews’ |  A worked example of a mixed methods systematic reviewAn excerpt from the JBI LIVE webinar, ‘The JBI Approach to Mixed Methods Systematic Reviews’ |  Common pitfalls in mixed methods systematic reviews - What can we learn?An excerpt from the JBI LIVE webinar, ‘The JBI Approach to Mixed Methods Systematic Reviews’ |
 ‘The JBI Approach to Mixed Methods Systematic Reviews’An overview of the JBI approach to mixed methods systematic reviews, with practical considerations for people conducting their own mixed methods systematic reviews, or for those who use them.
|  Importance of mixed methods systematic reviewsA short podcast |
Publications
Five common pitfalls in mixed methods systematic reviews: lessons learned Lizarondo, L et al 2022 Common pitfalls in conducting a mixed methods systematic review relate to the justification for undertaking a mixed methods approach to the systematic review, mismatch between the review questions and the synthesis/integration approach used, inadvertent or deliberate exclusion of mixed methods primary research in the review, lack of clarity about data transformation, and the lack of integration of the quantitative and qualitative components of the review. | Methodological guidance for the conduct of mixed methods systematic reviews Stern, C et al 2020 This paper outlines 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. |