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Pattern of Live Births in Rio de Janeiro State, Brazil, According to Robson Groups and the Kotelchuck Index
Luciana Leite de Mattos Alcantara1, Núbia Karla de Oliveira Almeida2, Renan Moritz Varnier Rodrigues de Almeida1
1Programa de Engenharia Biomédica, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Cesarean delivery rates in Rio de Janeiro were high, with many births not clinically indicated. Factors like maternal age and prenatal care influenced C-section decisions, suggesting non-clinical reasons for delivery patterns.
Area of Science:
- Obstetrics and Gynecology
- Public Health
- Health Services Research
Background:
- Hospital birth patterns in Rio de Janeiro (RJ), Brazil, require investigation.
- Understanding these patterns is crucial for improving maternal and child health outcomes.
- The Robson classification and Kotelchuck index provide frameworks for analyzing birth characteristics and prenatal care.
Purpose of the Study:
- To analyze hospital birth patterns in Rio de Janeiro between 2015-2016.
- To evaluate birth patterns using the Robson classification and Kotelchuck prenatal care index.
- To identify factors associated with cesarean section (C-section) rates.
Main Methods:
- Utilized data from the Information System on Live Births (SINASC/DATASUS) for 2015-2016.
- Categorized births using the Robson classification.
- Performed descriptive analysis and logistic regression for cesarean section risk factors.
Main Results:
- Over 60% of 391,961 analyzed live births in RJ were C-sections.
- Robson groups 5, 2, and 3 comprised the majority of births.
- Higher C-section rates than expected were observed in Robson groups 1, 2, 3, 4, 5, and 8.
- Inadequate prenatal care, lack of a partner, and lower socioeconomic status were linked to vaginal deliveries.
- Increased maternal age, presence of a partner, and improved prenatal care correlated with higher C-section odds within Robson groups.
Conclusions:
- Evidence suggests non-clinical factors significantly influenced C-section rates in RJ from 2015-2016.
- Cesarean delivery patterns may not always align with clinical necessity.
- Further research into the drivers of C-section decisions is warranted.
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