Using the Framework Method for the Analysis of Qualitative Dyadic Data in Health Research.
Nicole CollaçoRichard WaglandObrey AlexisAnna GavinAdam GlaserEila K WatsonPublished in: Qualitative health research (2021)
There are an increasing number of qualitative studies which focus on the dyad (couples, families, caregivers-patients, health care professionals-patients). However, there is limited literature regarding qualitative methodology for dyadic analysis when members of the couple have been interviewed separately. The aim of this article is to share the knowledge we gained from undertaking a novel approach to dyadic analysis. We used an adapted version of the Framework method on data gathered in a study exploring the impact of prostate cancer on younger men and their partners. In this article, we examine and reflect on the challenges of this type of analysis and describe how we analyzed the interview data from a dyadic point of view, to share what we learned in the process.
Keyphrases
- end stage renal disease
- prostate cancer
- healthcare
- ejection fraction
- chronic kidney disease
- newly diagnosed
- systematic review
- electronic health record
- peritoneal dialysis
- prognostic factors
- big data
- radical prostatectomy
- patient reported
- machine learning
- social media
- deep learning
- artificial intelligence
- middle aged