Abstract
BACKGROUND: To determine the cesarean section (CS) rate in Lithuania, identify the groups of women that influence it using the Robson classification and to determine the impact of implementing the use of the Robson classification on the CS rate. METHODS: The Robson classification was introduced in Lithuanian hospitals prospectively classifying all the deliveries in 2012. The overall CS rate, sizes of the Robson groups of women, CS rate in each group and contribution to the overall CS rate from each group was calculated and the results were discussed. The analysis was repeated in 2014 and the data were compared using MS EXCEL and SPSS 23.0. RESULTS: Nineteen Lithuanian hospitals participated in the study. They represented 84.1% of the deliveries (23,742 out of 28,230) in 2012 and 88.5% of the deliveries (24,653 out of 27,872) in 2014. The CS rate decreased from 26.9% (6379/23,742) in 2012 to 22.7% (5605/24,653) in 2014 (p < 0.001). The greatest contributions to the overall CS rate were made by groups 1, 2 and 5. The greatest decrease in the CS rate was detected in group 2. The absolute contribution to the overall CS rate decreased from 4.9% to 3.8%. CONCLUSION: The Robson classification can work as an audit tool to identify the groups that have the greatest impact on the CS rate. It also helps to develop a strategy focussing on the reduction of the CS rate.