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Cesarean sections in Brazil's teaching hospitals: an analysis using Robson Classification
Yluska Myrna Meneses Brandão E Mendes1, Daphne Rattner1
1University of Brasilia Brasilia Brazil University of Brasilia. Brasilia, Brazil.
Summary
Cesarean section rates in Brazilian teaching hospitals participating in the Project for Improvement and Innovation in the Care and Teaching of Obstetrics and Neonatology (Apice ON) significantly exceeded World Health Organization recommendations across all Robson Classification groups, highlighting a need for improved management strategies.
Area of Science:
- Obstetrics and Gynecology
- Public Health
- Healthcare Management
Background:
- Cesarean section rates are a global public health concern.
- The Robson Classification is a standardized method for analyzing cesarean section distribution.
- Teaching hospitals play a crucial role in shaping future obstetric practices.
Purpose of the Study:
- To assess cesarean section distribution in Brazilian teaching hospitals using the Robson Classification.
- To establish a baseline for cesarean section rates within the Apice ON project.
- To identify potential areas for intervention in obstetric care.
Main Methods:
- A cross-sectional descriptive study was conducted.
- Secondary data from the 2017 Live Births Information System were analyzed.
- Cesarean sections were categorized according to the Robson Classification.
Main Results:
- Proportions of newborns by Robson groups were largely consistent with WHO recommendations, with notable exceptions in Group 5 (previous cesarean) and Group 10 (preterm).
- Average cesarean section rates in teaching hospitals ranged widely (24.8% to 75.1%), surpassing recommended levels even in low-risk groups (1-4).
- Regional variations in cesarean section distribution were observed.
Conclusions:
- Brazilian teaching hospitals exhibit excessively high cesarean section rates across all Robson groups.
- These high rates, particularly in educational settings, may influence future professional practices.
- The Robson Classification is a valuable tool for monitoring, evaluating, and guiding interventions to reduce cesarean section rates in high-prevalence countries.
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