A sequential explanatory mixed methods study design: An example of how to integrate data in a midwifery research project

Abstract

Integration of mixed methods involves bringing together quantitative and qualitative approaches and methodologies. Limited application in midwifery research has identified a need for practical examples. How to integrate two research approaches and methodologies in a sequential explanatory mixed methods study, at the design, methods, interpretation and reporting levels will be explained. This paper describes and discusses an example of how integration was used to develop a better understanding of midwives’ knowledge and confidence after attending a healthy eating education workshop/webinar. This example illustrates how integration can be achieved and emphasises how a weaving technique can be used, and findings are presented in a joint display and extreme case analysis. The sequential explanatory design was adopted to merge and mix different datasets to be collected and analysed. Then, using meta-analysis to identify areas of convergence or discordance, which provided a more comprehensive overview and understanding of the key themes that linked midwives' knowledge and confidence. The application of this mixed methods design assisted in investigating and exploring midwives' knowledge and confidence levels and provided clear insights for midwives needs and the effectiveness of healthy eating education on practice.