Table 3.

Data Analysis Process.

Stage	Analysis Process
Familiarization with the data	The first author immersed herself into the data by reading through the transcripts while simultaneously listening to the audio to ensure the accuracy of the transcriptions. This enabled the author to recall the atmosphere of the interview and note any reflections or observations that were identified. Each new reading and listening to the audio allowed for new insights.
Generating initial codes	Rigorous notes were produced that represented the transcripts and audio recordings. Initial codes were produced to organize the data into meaningful units based on the details provided by the participant. Qualitative data analysis software – ATLAS.ti – was used due to the copious amount of data, to facilitate this step and assist with the thematic process. An inductive approach was used to generate codes that reflected the content of the data.
Generating initial themes	Using ATLAS.ti, the identified codes were categorized into themes based on shared associations. Each category was assigned a descriptive label and the meanings of and relationships between codes were interpreted.
Reviewing potential themes	Patterns across the coded data were distinguished and the entire data set was reviewed. Overlapping themes were collapsed and refined.
Defining and naming themes	A list of major themes and subthemes were categorized and the narrative of the themes were identified and conceptualized within the broader data set in response to the research questions.
Producing the report	A narrative account of participant data was presented using short excerpts from the transcripts to convey our salient findings in response to our research questions.