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.