Statistical analysis of the data
Data were fed to the computer and analyzed using IBM SPSS software package version 20.0. Qualitative data were described using number and percent. Quantitative data were described using range (minimum and maximum), mean, standard deviation and median. Comparison between different groups regarding categorical variables was tested using Chi-square test. When more than 20% of the cells have expected count less than 5, correction for chi-square was conducted using Fisher’s Exact test or Monte Carlo correction. Variables were tested for normality using Kolmogorov-Smirnov test, Shapiro-Wilk test and D’Agostino test. If it reveals normal data distribution, parametric tests were applied. If the data were abnormally distributed, non-parametric tests were used. For normally distributed data, comparison between two independent populations were done using independent t-test. For Quantitative variables comparison between groups were done using Mann Whitney test and Kruskal Wallis test. Significance of the obtained results was judged at the 5% level.(17)