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Cesarean-section Rates in Brazil from 2014 to 2016: Cross-sectional Analysis Using the Robson Classification
Objective To obtain cesarean-section (CS) rates according to the Robson Group Classification in five different regions of Brazil. Methods A descriptive epidemiological study using data from secondary birth records from the Computer Science Department of the Brazilian Unified Health System (Datasus...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Thieme Revinter Publicações Ltda
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10309242/ https://www.ncbi.nlm.nih.gov/pubmed/32559791 http://dx.doi.org/10.1055/s-0040-1712134 |
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author | Knobel, Roxana Lopes, Thiago Jose Pinheiro Menezes, Mariane de Oliveira Andreucci, Carla Betina Gieburowski, Juliana Toledo Takemoto, Maira Libertad Soligo |
author_facet | Knobel, Roxana Lopes, Thiago Jose Pinheiro Menezes, Mariane de Oliveira Andreucci, Carla Betina Gieburowski, Juliana Toledo Takemoto, Maira Libertad Soligo |
author_sort | Knobel, Roxana |
collection | PubMed |
description | Objective To obtain cesarean-section (CS) rates according to the Robson Group Classification in five different regions of Brazil. Methods A descriptive epidemiological study using data from secondary birth records from the Computer Science Department of the Brazilian Unified Health System (Datasus, in Portuguese) between January 1st, 2014, and December 31st, 2016, including all live births in Brazil. Results The overall rate of CS was of 56%. The sample was divided into 11 groups, and vaginal births were more frequent in groups 1 (53.6%), 3 (80.0%) and 4 (55.1%). The highest CS rates were found in groups 5 (85.7%), 6 (89.5%), 7 (85.2%) and 9 (97.0%). The overall CS rate per region varied from 46.2% in the North to 62.1% in the Midwest. Group 5 was the largest obstetric population in the South, Southeast and Midwest, and group 3 was the largest in the North and Northeast. Group 5 contributed the most to the overall CS rate, accounting for 30.8% of CSs. Conclusion Over half of the births in Brazil were cesarean sections. The Midwest had the highest CS rates, while the North had the lowest. The largest obstetric population in the North and in the Northeast was composed of women in group 3, while in the South, Southeast and Midwest it was group 5. Among all regions, the largest contribution to the overall CS rate was from group 5. |
format | Online Article Text |
id | pubmed-10309242 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Thieme Revinter Publicações Ltda |
record_format | MEDLINE/PubMed |
spelling | pubmed-103092422023-07-27 Cesarean-section Rates in Brazil from 2014 to 2016: Cross-sectional Analysis Using the Robson Classification Knobel, Roxana Lopes, Thiago Jose Pinheiro Menezes, Mariane de Oliveira Andreucci, Carla Betina Gieburowski, Juliana Toledo Takemoto, Maira Libertad Soligo Rev Bras Ginecol Obstet Objective To obtain cesarean-section (CS) rates according to the Robson Group Classification in five different regions of Brazil. Methods A descriptive epidemiological study using data from secondary birth records from the Computer Science Department of the Brazilian Unified Health System (Datasus, in Portuguese) between January 1st, 2014, and December 31st, 2016, including all live births in Brazil. Results The overall rate of CS was of 56%. The sample was divided into 11 groups, and vaginal births were more frequent in groups 1 (53.6%), 3 (80.0%) and 4 (55.1%). The highest CS rates were found in groups 5 (85.7%), 6 (89.5%), 7 (85.2%) and 9 (97.0%). The overall CS rate per region varied from 46.2% in the North to 62.1% in the Midwest. Group 5 was the largest obstetric population in the South, Southeast and Midwest, and group 3 was the largest in the North and Northeast. Group 5 contributed the most to the overall CS rate, accounting for 30.8% of CSs. Conclusion Over half of the births in Brazil were cesarean sections. The Midwest had the highest CS rates, while the North had the lowest. The largest obstetric population in the North and in the Northeast was composed of women in group 3, while in the South, Southeast and Midwest it was group 5. Among all regions, the largest contribution to the overall CS rate was from group 5. Thieme Revinter Publicações Ltda 2020-06-19 2020-09 /pmc/articles/PMC10309242/ /pubmed/32559791 http://dx.doi.org/10.1055/s-0040-1712134 Text en The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. ( https://creativecommons.org/licenses/by/4.0/ ). https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Knobel, Roxana Lopes, Thiago Jose Pinheiro Menezes, Mariane de Oliveira Andreucci, Carla Betina Gieburowski, Juliana Toledo Takemoto, Maira Libertad Soligo Cesarean-section Rates in Brazil from 2014 to 2016: Cross-sectional Analysis Using the Robson Classification |
title | Cesarean-section Rates in Brazil from 2014 to 2016: Cross-sectional Analysis Using the Robson Classification |
title_full | Cesarean-section Rates in Brazil from 2014 to 2016: Cross-sectional Analysis Using the Robson Classification |
title_fullStr | Cesarean-section Rates in Brazil from 2014 to 2016: Cross-sectional Analysis Using the Robson Classification |
title_full_unstemmed | Cesarean-section Rates in Brazil from 2014 to 2016: Cross-sectional Analysis Using the Robson Classification |
title_short | Cesarean-section Rates in Brazil from 2014 to 2016: Cross-sectional Analysis Using the Robson Classification |
title_sort | cesarean-section rates in brazil from 2014 to 2016: cross-sectional analysis using the robson classification |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10309242/ https://www.ncbi.nlm.nih.gov/pubmed/32559791 http://dx.doi.org/10.1055/s-0040-1712134 |
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