Statistical analysis
REGRESSION
Firstly, a descriptive analysis of all of the variables was carried out, using frequencies and percentages for categorical variables and means and standard deviation for continuous variables. A between-groups comparison was developed after randomization according to the study variables, with chi-square being used for categorical variables and Student T for continuous variables.To analyze the APP’s effectiveness, a per-protocol analysis was performed, comparing baseline, 3 months, and the 3-month-baseline differences between both groups using Student T. To analyze the variables associated with effectiveness, a linear regression was performed considering the difference in the score at 3 months and at baseline for each of the variables as the dependent variable. The independent variables of age, gender, minutes of APP use, increase in self-efficacy, health literacy, and patient activation were introduced into the model.