Table 2 Steps of data analysis

1: Developing the coding manual

The TFAv2 and previous research was utilised to inform the initial coding manual

2: Testing the reliability of the code

Two transcripts were selected and coded using the manual by four researchers independently (ET, RB, ZK & SL). The researchers then met to discuss and make modifications to the manual accordingly

3: Summarizing data and identifying initial themes

To facilitate immersion in the data set, four researchers read all transcripts and produced bullet-point summaries of their content (ET, RB, ZK & SL). These summaries reflected the initial processing of the information by the researchers and provided the opportunity to begin to identify potential themes across participants

4: Applying template of codes and additional coding

Four researchers (ET, RB, ZK & SL) then coded all interview transcripts. Quotes were collated and organised under each code. Coding was guided, but not confined by the preliminary coding manual. Inductive codes were assigned to chunks of data that were relevant to the research question but did not fit with a preliminary code description. These inductive codes were added to the manual for all subsequent analysis of transcripts, and previously analysed transcripts were re-examined to identify any additional instances

5: Connecting the codes and identifying themes

Four researchers (ET, RB, ZK & SL) utilised the TFAv2 to connect semantically similar codes and identify themes across the data. Initial theme descriptions were written to facilitate step 6

6: Corroborating and legitimating coded themes

Quotes were closely scrutinized to ensure that themes and codes were grounded in the data. This step involved several iterations to develop solid theme descriptions. The final report was reviewed by all researchers