2020-12-02, 10:50–11:05, Zoom Breakout Room 3
Background: Integration of mixed methods involves bringing together and merging quantitative and qualitative approaches. Limited application of data integration in midwifery research has highlighted a need to provide practical examples. The integration can occur at design, methods and at the interpretation and reporting levels.
Aim: To provide an example and describe how integration of data in a mixed methods study was used to develop a better understanding of midwives’ knowledge and confidence after attendance at a healthy eating education workshop/webinar and a follow-up interview.
Methods: A sequential explanatory mixed methods study investigated midwives’ level of knowledge and confidence prior to, and after attendance at a healthy eating education workshop/webinar. which was followed up by an exploration of midwives’ views and experiences This example illustrates how data integration can be achieved and emphasises specifically how a weaving technique can be used, and results are presented in a joint display (matrix) and extreme case analysis.
Findings: The sequential explanatory design was adopted to mix and merge different datasets to be analysed. Meta-inferences were used to identify areas of convergence and discordance, which provided a more comprehensive picture and understanding of the key themes that linked midwives’ knowledge and confidence.
Conclusion: Data analyses utilised different techniques for the integration of mixed methods data, i.e. weaving, and meta inferences in this midwifery research study. The application of this mixed methods design assisted in investigating midwives’ knowledge and confidence levels and provided clear insights for midwives needs and the effectiveness of healthy eating education.
1- Professor Mary Steen: Professor of Midwifery at UniSA Clinical & Health Sciences. University of South Australia.
2- Doctor Julie Fleet: Doctor of Midwifery at UniSA Clinical & Health Sciences. University of South Australia.