Having a decisional support system from Robson’s Classification inside a hospital maternity is enough to reduce cesarean section rates?
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 Robson's 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 rate groups 1 to 4 from Robson’s Classification allows the construction of goals to improve labor assistance, also preventing the CS in parturient groups which are potentially preventable.