Application of the Social Network Analysis to Better Comprehend Relationships in Qualitative Health Data.

OBJECTIVE To explore social network analysis (SNA) as an additional approach to elucidate quantifiable insight from qualitative health-related textual data. METHODS Key concepts gained from thematic analyses of a set of qualitative health data obtained from an implementation study was analysed using the Excel Add-on module NodeXL. RESULTS Our results show that SNA provided useful visualisation and quantifiable information of the relationship between key concepts obtained from the thematic analysis. DISCUSSION SNA is a useful technique for exploring and analysing qualitative data, particularly when the research interest is in complex relationships that may exist among a large number of qualitative variables. In addition to providing a way to visualise the relationship between concepts, SNA provides metric measures that can be further analysed quantitatively. CONCLUSION The SNA approach allows researchers to explore deeper relationships that may exist among various variables and enable researchers to derive potentially a fuller and more complete appreciation and comprehension of health-related data.