103 Patients’ and volunteers’ experiences with a social network intervention 4 training on the interview guides as well as other data collection methods used in this study. Semi-structured interviews with patients were conducted before other questionnaires scheduled at post-assessment of the RCT, or in separate appointments, in order to prevent the interviews from being influenced by other questionnaires and to prevent exhaustion. Interviews took between 15 and 40 minutes, with a few exceptions in which the interview lasted less than 10 minutes or 60 minutes. Patients received a gift card of €10 for participation after completing the post-assessment. Coaches were not reimbursed for their participation in the study. All interviews were audio-recorded and transcribed verbatim. In addition, we determined socio-demographic characteristics of patients using a self-developed questionnaire administered at baseline assessment. Data collected at follow-up assessments during the RCT, regarding the number and type (e.g., face-to-face, telephone, messaging) of contacts patients had with their coach, was used to provide a quantitative overview of patient engagement. Clinical primary diagnoses of patients were obtained from medical records. For coaches, socio-demographic characteristics were assessed with a self-developed questionnaire at post-assessment. Data analysis The interviews were transcribed verbatim by research assistants using oTranscribe without adding personal information (Bentley, 2018). Each participant was given a unique project number. Transcripts were reviewed for accuracy by the first author (LS). All transcripts were analyzed by the first author (LS) using reflexive thematic analysis (Braun & Clarke, 2006). This author is an experienced clinician at the forensic outpatient care institute. To maintain reflexivity, the first author described and discussed her prior knowledge and assumptions during data analysis with the research team. Additionally, to deepen the analyses, the first and second author (LS and MK) discussed codes and themes as well as two full-text interviews. Before analysis, transcripts were reread to gain familiarity with the data and develop initial codes. Next, text segments of transcripts were openly coded in MAXQDA 2022 (2021) to organize the data and to generate initial codes. Interviews of patients and coaches were analyzed separately to account for different experiences. Patient interviews were analyzed first, followed by interviews with coaches. After the open coding phase, these codebooks were merged into one codebook. Codes and memos (i.e., brief summaries of single
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