Statistical analysis
To analyze qualitative variables, we used percentages and to analyze quantitative variables average with standard deviation or median with interquartile range (IQR), depending on the normality of distributions. For the comparison of quantitative measures we used Student’s T test or Wilcoxon test depending on the normality of distributions. In order to evaluate the impact of the education intervention, we calculated the difference between the scores obtained in the theoretical questionnaire and practical skills in P2 and P3 with respect to baseline (P1). Linear models were fitted, and beta-regression coefficients were calculated to link quantitative variables. Statistical significance was considered p<0.05. We performed a multivariable analysis to determine the factors that determined a variation in the scores at baseline, using multivariable linear regression, which will include those independent variables with at least a trend to statistical significance (p<0.10) in the univariable analysis.