Statistical methods
REGRESSION
Kaplan‒Meier curves were used to estimate the survival of the interventions. The log-rank test evaluated the differences between the survival curves. Participants assessed at least once during the study were included in the analysis. The multivariate Cox regression model was used to determine the possible influence of explanatory variables on the failure of the interventions. Initially, an unadjusted analysis was performed for each explanatory variable, and those with p≤0.20 were tested into the adjusted analysis. The final model included variables with a p≤0.05. Hazard ratios (HRs) and 95% CIs were calculated. Proportional hazard assumption in the Cox model was tested using Schoenfeld residuals.Intention-to-treat analysis (ITT) using multiple imputation was conducted considering the proportion of intervention success at 12-month follow-up. Odds ratios (OR) and 95% confidence intervals (CI) were calculated.Statistical analysis was performed using the RStudio, version 1.1.45 statistical software, version 4.0.2 (R Core Team, 2012, Vienna, AUT). The significance level was set as 5% for all analyses.