Association between Robson classification groups and cesarean delivery: a longitudinal analysis in Mongolia

The number of cesarean deliveries has increased sharply worldwide over the last 3 decades. The World Health Organization recommends using the Robson classification as the best tool for monitoring and auditing cesarean delivery rates and to safely reduce the rate of avoidable cesarean deliveries. This study aimed to identify the association between the Robson classification groups and cesarean delivery in 2008 and 2018 at the Urguu Maternity Hospital, Ulaanbaatar, Mongolia, and to examine the changes in this association over 10 years. This cross-sectional study was conducted using 21,225 participants’ electronic birth records (9544 in 2008 and 11,681 in 2018) from the Urguu Maternity Hospital. Birth records were categorized into 10 groups using the Robson classification report table. Multiple logistic regressions were conducted to examine the association between the Robson classification group and the cesarean delivery rate for 2008 and 2018. The same regression analysis was subsequently conducted using a pooled data set to capture the changes in the association among the Robson classification group, a birth-year dummy, and the cesarean delivery rate. The odds of having a cesarean delivery when classified in group 1 in 2018 (adjusted odds ratio, 3.02; 95% confidence interval, 1.85–4.94; P