The data entry was performed using the statistical software Epi data version 3.1 and then exported to STATA version 14 for analysis. Descriptive statistics was carried out and presented with narration and tabulation. Binary logistic regression (Bi-variable and multivariable) analysis was performed to identify statistically significant variables using a cut-off p-value < 0.2 in the bi-variable analysis to identify candidate variables for multivariable binary logistic regression. Adjusted odds ratio with 95% confidence interval was used to declare statistically significant variables on the basis of p-value <0.05 in the multivariable binary logistic regression model. Hosmer and Lemeshow goodness of fit test was employed and decision was made at P-value>0.05.

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