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ATLAS.ti software, a qualitative data management tool, facilitated analysis; we used standard qualitative methods for iterative theme identification and coding [ 15].
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Through an iterative process, themes were further refined and categorized.
Through this extensive iterative process, themes were crystalized and solidified for reporting.
This was an iterative process with themes and sub-themes being reviewed throughout this process.
Qualitative thematic analysis of feedback from participants and staff was undertaken by one researcher (MD) to identify, code and collate themes through an iterative process where the themes and sub-themes were reviewed and changed throughout the process.
Emergent themes were identified from the data, defined and reported through an iterative process of theme development.
All investigators contributed to an iterative process of theme identification and refinement.
Analysis was iterative, with broad themes identified initially, then further broken down into sub-themes [ 24].
Analysis was iterative, with broad themes identified first (e.g. access; interpreters), then broken down into sub-themes (e.g. making appointments; confidence in interpreter) [ 22].
This involved an iterative process comparing themes against transcript data in order to ensure that the emerging structure of themes continued to be grounded only in the data set.
Over time, through iterative processes, these themes were refined.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com