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).