Statistical analysis of the data
The raw data was transferred to the computer and analyzed using IBM SPSS software package version 20.0. (Armonk, NY: IBM Corp). Qualitative data were described using numbers and percentages. The Shapiro-Wilk test was used to verify the normality of distribution and quantitative data was described using range (minimum and maximum), mean, median, and standard deviation. The significance of the obtained results was judged at the 5% level.The following tests were used: the Chi-square test was used for categorical variables, (to compare between different groups), the Student t-test for parametric quantitative variables, (to compare between two studied groups), the F-test (ANOVA) for parametric quantitative variables, (to compare between more than two groups), the Post Hoc test (Tukey) for pairwise comparisons, the Paired t-test for parametric quantitative variables, (to compare between two periods),the Mann Whitney test for non-parametric quantitative variables,( to compare between two studied groups), Kruskal Wallis test for non-parametric quantitative variables,( to compare between more than two studied groups), the Post Hoc (Dunn’s multiple comparisons test) for pairwise comparisons, the Wilcoxon signed ranks test for non-parametric quantitative variables, (to compare between two periods), and the Spearman coefficient to correlate between two non-parametric quantitative variables.