Data analysis
REGRESSION
Continuous variables with a normal distribution are described as mean value ± one standard deviation (SD), and otherwise as median value (25th to 75th percentile). Normality was tested by the Shapiro--Wilk test. Categorical variables are described as numbers and percentages. Within-group changes in percentage adherence and resistant hypertension from t0 to t12 were evaluated by McNemar tests. We used a chiDifferences in mean blood pressure over time, t0 versus t12, within the same arm were tested using a paired sample We performed an intention-to-treat analysis, including all randomized patients, as well as a per-protocol analysis, including the patients with available measurements at t0 and t12, and one of t3 and t6. The per-protocol analysis is preferred while all steps [visit 1: first feedback conversation, visit 2 (t3 or t6): repeated feedback conversation and visit 3/4: follow-up] of the intervention are included.To determine the influence of adherence on resistant hypertension (dependent variable) generalized estimating equations (GEEs) were used, which could account for the clustering of data within individuals due to multiple visits. The calculated defined daily dose (DDD) at t0 and t12 as well as the randomization arm were included as covariates in this binary regression model.All We used the SPSS version 24.0 for Windows (IBM Corp, Armonk, New York, USA), and GraphPad Prism 9.3 software (GraphPad Software, La Jolla, California, USA) for analysis.