Cindy Stern1, Lucylynn Lizarondo1, Judith Carrier2,3, Christina Godfrey4,5, Kendra Rieger6, Susan Salmond7,8, João Apóstolo9,10, Pamela Kirkpatrick11,12, Heather Loveday13,14. 1. JBI, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia. 2. School of Healthcare Sciences, Cardiff University, Cardiff, Wales. 3. The Wales Centre For Evidence Based Care: A JBI Centre of Excellence, Cardiff, Wales. 4. School of Nursing, Queen's University, Kingston, ON, Canada. 5. Queen's Collaboration for Health Care Quality: A JBI Centre of Excellence, Kingston, ON, Canada. 6. College of Nursing, University of Manitoba, Winnipeg, MB, Canada. 7. School of Nursing, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA. 8. The Northeast Institute for Evidence Synthesis and Translation (NEST): A JBI Centre of Excellence, Newark, NJ, USA. 9. Escola Superior de Enfermagem de Coimbra, Coimbra, Portugal. 10. Portugal Centre for Evidence Based Practice: A JBI Centre of Excellence, Coimbra, Portugal. 11. The Institute for Health and Wellbeing Research, Robert Gordon University, Aberdeen, Scotland. 12. The Scottish Centre for Evidence-based, Multi-professional Practice: A JBI Centre of Excellence, Aberdeen, Scotland. 13. College of Nursing, Midwifery and Healthcare, University of West London, London, England. 14. The University of West London Centre for Evidence-Based Healthcare: A JBI Affiliated Group, London, UK.
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. RESULTS: The updated JBI methodological guidance for conducting a mixed methods systematic review recommends that reviewers take a convergent approach to synthesis and integration whereby the specific method utilized is dependent on the nature/type of questions that are posed in the systematic review. The JBI guidance is primarily based on Hong et al. and Sandelowski's typology on mixed methods systematic reviews. If the review question can be addressed by both quantitative and qualitative research designs, the convergent integrated approach should be followed, which involves data transformation and allows reviewers to combine quantitative and qualitative data. If the focus of the review is on different aspects or dimensions of a particular phenomenon of interest, the convergent segregated approach is undertaken, which involves independent synthesis of quantitative and qualitative data leading to the generation of quantitative and qualitative evidence, which are then integrated together. CONCLUSIONS: The updated guidance on JBI mixed methods systematic reviews provides foundational work to a rapidly evolving methodology and aligns with other seminal work undertaken in the field of mixed methods synthesis. Limitations to the current guidance are acknowledged, and a series of methodological projects identified by the JBI Mixed Methods Review Methodology Group to further refine the methodology are proposed. Mixed methods reviews offer an innovative framework for generating unique insights related to the complexities associated with health care quality and safety.
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. RESULTS: The updated JBI methodological guidance for conducting a mixed methods systematic review recommends that reviewers take a convergent approach to synthesis and integration whereby the specific method utilized is dependent on the nature/type of questions that are posed in the systematic review. The JBI guidance is primarily based on Hong et al. and Sandelowski's typology on mixed methods systematic reviews. If the review question can be addressed by both quantitative and qualitative research designs, the convergent integrated approach should be followed, which involves data transformation and allows reviewers to combine quantitative and qualitative data. If the focus of the review is on different aspects or dimensions of a particular phenomenon of interest, the convergent segregated approach is undertaken, which involves independent synthesis of quantitative and qualitative data leading to the generation of quantitative and qualitative evidence, which are then integrated together. CONCLUSIONS: The updated guidance on JBI mixed methods systematic reviews provides foundational work to a rapidly evolving methodology and aligns with other seminal work undertaken in the field of mixed methods synthesis. Limitations to the current guidance are acknowledged, and a series of methodological projects identified by the JBI Mixed Methods Review Methodology Group to further refine the methodology are proposed. Mixed methods reviews offer an innovative framework for generating unique insights related to the complexities associated with health care quality and safety.
Authors: Caitlin B Finn; Jason K Tong; Hannah E Alexander; Chris Wirtalla; Heather Wachtel; Carmen E Guerra; Shivan J Mehta; Richard Wender; Rachel R Kelz Journal: J Gen Intern Med Date: 2022-04-19 Impact factor: 6.473