Irene Göttgens

Chapter 4 76 for the digital interview and 4) to provide support with any technical questions related to the use of the secure online conference meeting platform for the digital interview. The interviewer had no therapeutic relation with the participant and the participants did not receive any compensation for their participation. All participants signed a digital informed consent before inclusion in the study. Data collection The data collected for this paper were captured through semi-structured life story interviews focused on the impact of PD on daily life. The digital interviews lasted between 45 and 90 minutes. After hearing the initial story, the interviewer encouraged the participant to provide more details about topics related to gender in their illness experiences and care provider preferences. This section was operationalized in the interviews through the questions: “Are there aspects of living with Parkinson’s disease that are specific for you as a man/woman?” and “Is it important for you whether healthcare providers involved in your care are men or women?” and probed for deeper exploration and context by asking for more information, examples or referring to prior responses. This paper reports on the outcomes of this particular interview section. Data analysis The interviews were audio-recorded and professionally transcribed verbatim. Data analyses was informed by Judith Butler’s concept of gender performativity19 and conducted using a reflexive thematic analysis approach.20–22 The analyses was guided by the following questions: “When and how does gender become salient in the illness experiences of people with PD?” and “Are there gendered preferences regarding healthcare providers involved in the care for people with PD?”. First, the text was read and re-read to familiarize the researchers with the data. Second, open coding was applied, independently by LM and IG, to identify meaningful text units. In this stage, text that explicitly addressed gender aspects in illness experiences was separated from text related to gender aspects in care provider preferences for separate analyses. Codes were discussed and categorized according to similarities and differences in content. An iterative process of identifying and defining themes and topics was performed. Final themes and topics were analysed and discussed in consultation with CJ, SOP and SKLD. Data was coded with the use of ATLAS.ti (version 22.0.11) Research team and reflexivity IG is a female PhD researcher with training and experience in qualitative research and gender studies. LM is a female junior researcher with training and experience in ethnographic research and storytelling. CJ is a female certified listening professional and consultant in the field of narrative medicine. SKLD, male, and both a neurologist in

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