91 4 Supporting stoma patients’ self-efficacy with a mobile application - a focus group interview stud for longer durations, or a topic was discussed enough. During the interviews, field notes on striking topics or emotions were made. Data processing and analysis All data were collected, analysed, and reported anonymously. The interviews were audio-recorded and transcribed verbatim by the second author. To ensure credibility, all participants received summarised transcripts and were asked for comments or corrections. The transcripts were checked repeatedly for mistakes by the first author. Relevant quotes have been added to the focus group data table. All data were analysed using the thematic content analysis method described by Sundler (2017).19 The transcripts were read multiple times to establish a global overview of the topics discussed and familiarity with the data. The first two authors interpreted the quotes of the participants and searched for meanings and underlying themes. Quotes were jointly coded into topics using the software ‘MAXQDA 2020 plus (version 22.0.2). Patterns were sought in the identified topics, and were iteratively organised into the subthemes. In addition, some subthemes were divided into overarching themes. After coding, the data were reduced by the second author by removing quotes that had no contribution or were merely repetitions of previous quotes. The first two authors read the reorganised text, including the coding, independently, and in several consensus meetings, themes were critically examined, further refined, and reduced to main themes. Field notes and the results of our qualitative study were re-read to contextualise and check the coding. This triangulation deepened our understanding of the patients’ experiences and needs and increased the credibility of our results. Subsequently, the categorised quotes were analysed. All the steps were performed under the supervision of the last two authors, both with previous experience in qualitative research.
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