Analysis
REGRESSION, SECONDARY
A multi-level mixed-effect logistic regression analysis was conducted using a binary outcome measure (adherent vs non-adherent) for the primary analysis and a multi-level mixed-effect multiple regression analysis for the continuous adherence outcome (0–100%) as the secondary analysis. In each analysis, implementation arm (Core vs. Enhanced) was fitted as a fixed-effect predictor. We included a fixed effect for step allocation (due to different number of components according to step allocation), and a random effect for the intercept, grouped hierarchically by persons (for repeated measures), and then site (due to the cluster randomisation). In an exploratory analysis, we tested for different effect sizes according to step allocation (by adding an interaction term between step allocation and implementation arm to the model).