1. Familiarizing with the data |
Authors (A. Fakha and M. Leithaus) read through the full transcripts in order to familiarize themselves with the data and obtain an overall preliminary understanding of the content, alongside taking important notes. |
2. Generating initial codes |
The lead researcher (A. Fakha) started the inductive coding of all transcripts by first generating initial codes from the data, then collating the relevant extract data under each code. Simultaneously, M. Leithaus independently cocoded all the same transcripts. After rounds of coding, A. Fakha and M. Leithaus reviewed and compared the codes along with the coded data extracts, and minor disagreements were discussed and resolved. |
3. Searching for themes |
Following four rounds of coding and adjustments, A. Fakha developed an initial set of potential summary themes. |
4. Reviewing themes |
A. Fakha and M. Leithaus jointly reviewed the themes in relation to both the codes and the entire data set in an iterative way until both agreed on the final themes and their meaningfulness. Then, they developed a thematic map to provide an overview of the analysis. |
5. Defining and naming themes |
The research team developed, discussed, and agreed on a clear description, detailed summary analysis, and naming of each theme. |
6. Producing the report |
The research team produced a final report summarizing the key analysis results with selected quotes from the data, which they aligned it with the existing literature on implementation science concepts. |