Statistical analysis of data
The collected data were handled and studied using SPSS (Statistical Package for Social Sciences) version 27. Mean (X) and standard deviation (SD) were used for normally distributed data, while for skewed data, median (Med) and interquartile range (IQR) were used. For qualitative data, the frequency with percentage (%) was used. Analytical or inferential statistics included Fisher’s Exact Test: It was used to compare two or more groups regarding one qualitative variable. It was used instead of Chi-Square (χ2) test when the assumption that at least 80% of the expected frequencies are greater than five was violated. Independent samples t-test was used for continuous data to test for significant differences between two normally distributed groups. Assumptions of normality in each group and homogeneity of variances were verified using the Shapiro-Wilk test and Levine’s test, respectively. The Mann–Whitney U test was used for continuous data to test for significant differences between two abnormally distributed groups. Significant test results are quoted as two-tailed probabilities. For all the tests mentioned above, the level of significance was tested, expressed as the probability of (