Data analysis

YS Yandisa Sikweyiya
AA Adolphina Addoley Addo-Lartey
DA Deda Ogum Alangea
PD Phyllis Dako-Gyeke
EC Esnat D. Chirwa
DC Dorcas Coker-Appiah
RA Richard M. K. Adanu
RJ Rachel Jewkes
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All audio-recorded interviews were transcribed verbatim. Transcriptions were augmented with researcher’s field notes generated through observations during the IDIs. Data were analysed inductively using thematic analysis [19]. However, there were deductive elements to the analysis as we explored themes that have been reported in similar published studies and then tested those in our data.

Transcripts were read repeatedly, and initial codes developed based on the IDI guide and short words or phrases representing segments of the text in the transcript. The first author used the codes to develop a codebook. Following this stage, all authors reviewed and tested the applicability of the codebook using the raw data from the transcripts, which led to expansion of codes. Next, text which seemed to fit together was grouped together under a specific code [20].

Further to this, the authors explored the data and identified numerous open codes. Analogous open codes were grouped together under clearly defined categories [20]. Next, the authors explored the relationships between the categories and interpreted what they saw emerging [19].

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