Statistical analysis
Descriptive statistics were expressed as mean ± standard deviation (s.d.) values for normally distributed parametric data, as median with minimum-maximum values otherwise. Pearson’s Chi-Square and Fisher’s Exact tests were used to compare the differences between categorical variables. Shapiro-Wilk test was used as a test of normality to determine whether parametric data conformed to Gaussian normal distribution (Effect sizes of the improvements observed according to Cohen’s-d statistic were computed as the ratio of the absolute change of the outcome measure to its pooled sd. in the group assessed before and after training. Effect sizes were considered strong if ≥0.8, medium if ≥0.5 and weak otherwise.