Data management and analysis plan
REGRESSION
We will analyze the data in R 4.1.2. We will do a frequency distribution and proportion analysis for categorical variables, and for continuous variables, we will perform a mean and standard deviation analysis. We will use chi-square test to make comparison between the groups. Finally, a random-intercept mixed-effect logistic regression model will be fitted to explain the relationship of e-Registration and mHealth package with institutional delivery, where the union will be included as the random intercept. An adjusted odds ratio with p-value less than 0.05 will be considered statistically significant. 95% confidence interval will be calculated from the logistic regression model.