Stroke knowledge: Developing a framework for data integration in a sequential exploratory mixed method study

Abstract

Mixed methods have emerged as potential problem solvers particularly where traditional mono-method approaches fail to deal with specific research problems. The integration of quantitative and qualitative data within mixed methods approaches is central and should be carefully planned and executed. It is equally important to choose an appropriate mixed methods design, that promises to answer the research questions posed at the start of the research endeavour. The authors used an exploratory sequential mixed method approach to explore stroke knowledge and educational needs in a large population. They present the development and use of a framework (matrix) to ensure comprehensive and transparent data integration in their study and may be used as a template for future studies.