Data analysis
Cross-tabulation was used to examine the change in C-section rate for
women’s geographic and socioeconomic characteristics, as well as
childbirth care usage over time. A Chi-square test was used to quantify
the difference over each wave of the survey. We conducted bivariate and
multivariate logistic regressions adjusting for explanatory variables to
study the determinants of C-section rate. Data were analyzed using Stata
version 16.0 (StataCorp, College Station, USA).