Statistical analysis
For descriptive analysis, we expressed continuous variables as median (1r-3r quantiles) and we summarised categorical variables as absolute frequency (percentage). A bivariate analysis of the characteristics of the participating students was carried out to verify that their sociodemographic, academic and occupational data were homogeneously distributed between the two arms.The bivariate analyses were carried out with the statistical tests that corresponded to the nature of the variables analysed. For dichotomous or polytomous qualitative variables were used Chi Squared test, and for quantitative variables that were distributed or not according to the normal distribution were used Mann–Whitney or Independent T-Test. The normality of the main outcome variable (knowledge scores) was checked and the evolution of its curve (time 0, time 1, time 6 months) was analysed.A paired comparison was performed for the results of the baseline knowledge test and the score obtained at the end of the training and between this and the score obtained in the questionnaire at six months. The results obtained in each of the test arms were compared. For independent comparisons were used Mann Whitney test, and for paired comparisions were used Wilcoxon test.The data were analysed with R software, version 4.1.2 for statistical analysis in its most recent version, and the alternative hypotheses were accepted when the probability of an error was less than 5% (