2.10 Statistical methods
All data were entered into a computer by giving a coding system, proofed for entry errors. Data obtained was compiled on an MS Office Excel Sheet (v 2019, Microsoft Redmond Campus, Redmond, Washington, United States). Data were subjected to the statistical analysis using Statistical Package for social sciences (SPSS v 26.0, IBM). Descriptive statistics like frequencies and percentages for categorical data, Mean & SD for numerical data were used. Intergroup comparison (2 arms) was done using a t-test. Comparison of frequencies of categories of variables with groups was done using the chi-square test. For all the statistical tests, p < 0.05 was considered to be statistically significant, keeping α error at 5% and β error at 20%, thus giving power to the study as 80%.