Data Analysis

Quantitative analyses are descriptive and exploratory. Follow-up data collection mainly assesses completion rates, while pre-post change analyses are underpowered. Pre–post change analyses will be conducted but are expected to be underpowered. Interview data will be analysed with combined framework and reflexive thematic analysis. Qualitative analyses are grouped by setting and identity to examine differences in experiences and change processes. The quantitative analysis will assess demographics, baseline scores, platform engagement, adherence, and full-trial parameters.