Objective: To outline the importance of the clarity of data analysis in the doing and reporting of interview-based qualitative research.
Approach:We explore the clear links between data analysis and evidence.We argue that transparency in the data analysis process is integral to determining the evidence that is generated. Data analysis must occur concurrently with data collection and comprises an ongoing process of 'testing the fit' between the data collected and analysis. We discuss four steps in the process of thematic data analysis: immersion, coding, categorising and generation of themes.
Conclusion: Rigorous and systematicanalysis of qualitative data is integral to the production of high-quality research.Studies that give an explicit account of the data analysis process provide insights into how conclusions are reached while studies that explain themes anchored to data and theory produce the strongest evidence.
A patient-centred approach involves transferring power and authority away from health care professionals and towards patients. We encourage nurses to take a leadership role by changing the way in which health care is delivered towards a focus on patients'lives. Learning about patients' lives may assist nurses to offer health information to patients that is more relevant and, therefore, useful.
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