Nvivo pro

We imported the transcribed data into NVivo Pro qualitative research software (version 12, QSR International Pty, Ltd., Doncaster, Victoria, Australia) to facilitate grouping, sorting, and cross-referencing of the data. Our multi-disciplinary team of three coders independently categorized (i.e. double coded) textual data using directed qualitative content analysis techniques.^{29 (link)} We generated initial codes by highlighting words from the text that captured key thoughts or concepts and then we labeled codes that were reflective of more than one key thought. Next, we sorted codes into categories based on how different codes were related and used these emergent categories to organize and group codes into meaningful clusters or themes within each domain of the interview. Team members resolved discrepancies and reached consensus about the major themes and subthemes of the interviews. We confirmed data saturation was confirmed by examining the themes to determine that no new themes emerged.

Transcripts were professionally transcribed and imported into NVivo Pro qualitative research software (version 12, QSR International Pty, Ltd., Doncaster, Victoria, Australia) to facilitate grouping, sorting and cross-referencing of the data. Our multi-disciplinary team of three coders independently categorized (i.e. double coded) textual data, including transcripts and field notes, using directed qualitative content analysis techniques [12 (link)]. Initial codes were generated by first highlighting words from the text that capture key thoughts or concepts. Next, labels for codes emerged that were reflective of more than one key thought. Codes were then sorted into categories based on how different codes were related and these emergent categories were used to organize and group codes into meaningful clusters or themes within each domain of the focus group (i.e. perspectives, clinical applications and barriers). Team members resolved discrepancies and reached consensus about the major themes and subthemes that were common to both focus groups. Data saturation was confirmed by examining the themes to determine that no new themes emerged. Next, we created an affinity diagram demonstrating key themes and relationships between themes from the focus group (Extended Summary Figure) [13 ].

Transcripts were professionally transcribed and imported into NVivo Pro qualitative research software (version 11, QSR International Pty, Ltd., Doncaster, Victoria, Australia) to facilitate grouping, sorting and cross-referencing of the data. Our multi-disciplinary team independently categorized (i.e. double coded) textual data using directed qualitative content analysis techniques.[17 (link)] Each code was defined and data were sorted into relevant coding categories. The initial codes were modified and additional codes were added as necessary to best reflect the content of the focus group data. Team members resolved discrepancies and reached consensus about the major themes and subthemes that were common to both focus groups.