Table 1. Steps in data analysis
Step 1: Familiarisation with data — read, re-read, and listen to recordings of interviews/focus groups
Step 2: Generate initial codes — systematically record features of the data that are interesting across the data
Step 3: Identify themes — sort code extracts into overarching themes. Develop subthemes where appropriate
Step 4: Review of themes — themes are combined, refined, redefined, or separated. From this map, a framework is devised
Step 5: Defining and naming themes — another stage of refinement of the themes and subthemes; concise working definitions of each theme are added