Is a Decision Support System Based on Robson's Classification Enough to Reduce Cesarean Section Rates?

Abstract

The cesarean section (CS) rates are important global indicators for measuring the access to obstetric services. In 2001, Robson proposed a CS classification in ten-groups as the most appropriate to compare surgery rates. However, having a decisional support system from Robsons Classification is enough to reduce CS rates? The births analysis that occurred in 2016, inside a public hospital maternity, showed 1,946 deliveries of which 35.7% were CS with a positive growth trend (R2 = 0.137). The monthly analysis of the combined groups 1 to 4 from Robsons Classification allows the development of goals to improve labour assistance, and also preventing CS in parturient groups where preventable.