Statistical analysis [
With the aid of the IBM SPSS software package version 20.0, data were fed into the computer and evaluated (Armonk, NY: IBM Corp). Number and percentage were used to describe qualitative data. The normality of the distribution was examined using the Shapiro–Wilk test. The range (minimum and maximum), mean, standard deviation, and median were used to characterise quantitative data. At the 5% level, significance of the results was determined. The tests used were:The Chi-square test compares two sets of categorical variables.Monte Carlo correction: was used as correction for chi-square in case of > 20% of the cells having expected count < 5F-test (One-Way ANOVA): For normally distributed numerical variables, to compare across more than two groups, and Post Hoc test (Tukey) for pairwise comparisons.Paired t-test: Used to compare two periods of normally distributed quantitative data.