Using the Robson classification to assess caesarean section rates in Brazil: an observational study of more than 24 million births from 2011 to 2017
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da FIOCRUZ (ARCA) |
Texto Completo: | https://www.arca.fiocruz.br/handle/icict/51245 |
Resumo: | Central da Secretaria de Vigilância em Saúde do Ministério da Saúde. Fundação de Amparo à Pesquisa do Estado da Bahia (FAPESB). Wellcome Trust. |
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Paixao, Enny Santos daBottomley, ChristianSmeeth, LiamCosta, Maria Conceição N. daTeixeira, Maria GloriaIchihara, Maria YuryGabrielli, LigiaBarreto, Mauricio LimaCampbell, Oona M. R2022-02-16T16:20:59Z2022-02-16T16:20:59Z2021Paixão, Enny S et at. Using the Robson classification to assess caesarean section rates in Brazil: an observational study of more than 24 million births from 2011 to 2017. Pregnancy and Childbirth, v. 21, n. 589, p. 1-8, 2021.1471-2393https://www.arca.fiocruz.br/handle/icict/51245doi.org/10.1186/s12884-021-04060-5Central da Secretaria de Vigilância em Saúde do Ministério da Saúde. Fundação de Amparo à Pesquisa do Estado da Bahia (FAPESB). Wellcome Trust.Faculty of Epidemiology and Population Health. London School of Hygiene and Tropical Medicine. London, United Kingdom / Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil.Faculty of Epidemiology and Population Health. London School of Hygiene and Tropical Medicine. London, United Kingdom.Faculty of Epidemiology and Population Health. London School of Hygiene and Tropical Medicine. London, United Kingdom.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil / Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil / Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil.Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil.Faculty of Epidemiology and Population Health. London School of Hygiene and Tropical Medicine. London, United KingdomBackground: Applying the Robson classification to all births in Brazil, the objectives of our study were to estimate the rates of caesarean section delivery, assess the extent to which caesarean sections were clinically indicated, and identify variation across socioeconomic groups. Methods: We conducted a population-based study using routine records of the Live Births Information System in Brazil from January 1, 2011, to December 31, 2017. We calculated the relative size of each Robson group; the caesarean section rate; and the contribution to the overall caesarean section rate. We categorised Brazilian municipalities using the Human Development Index to explore caesarean section rates further. We estimated the time trend in caesarean section rates. Results: The rate of caesarean sections was higher in older and more educated women. Prelabour caesarean sections accounted for more than 54 % of all caesarean deliveries. Women with a previous caesarean section (Group 5) made up the largest group (21.7 %). Groups 6–9, for whom caesarean sections would be indicated in most cases, all had caesarean section rates above 82 %, as did Group 5. The caesarean section rates were higher in municipalities with a higher HDI. The general Brazilian caesarean section rate remained stable during the study period. Conclusions: Brazil is a country with one of the world’s highest caesarean section rates. This nationwide population-based study provides the evidence needed to inform efforts to improve the provision of clinically indicated caesarean sections. Our results showed that caesarean section rates were lower among lower socioeconomic groups even when clinically indicated, suggesting sub-optimal access to surgical care.engBMCCesáreaPartoColeta de DadosBrasilCesarean SectionParturitionData CollectionBrasilCesáreaPartoRecolección de DatosBrasilCésarienneParturitionCollecte de donnéesBrésilUsing the Robson classification to assess caesarean section rates in Brazil: an observational study of more than 24 million births from 2011 to 2017info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-82991https://www.arca.fiocruz.br/bitstream/icict/51245/1/license.txt5a560609d32a3863062d77ff32785d58MD51ORIGINALPaixao, Enny S etal. Using....pdfPaixao, Enny S etal. 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dc.title.pt_BR.fl_str_mv |
Using the Robson classification to assess caesarean section rates in Brazil: an observational study of more than 24 million births from 2011 to 2017 |
title |
Using the Robson classification to assess caesarean section rates in Brazil: an observational study of more than 24 million births from 2011 to 2017 |
spellingShingle |
Using the Robson classification to assess caesarean section rates in Brazil: an observational study of more than 24 million births from 2011 to 2017 Paixao, Enny Santos da Cesárea Parto Coleta de Dados Brasil Cesarean Section Parturition Data Collection Brasil Cesárea Parto Recolección de Datos Brasil Césarienne Parturition Collecte de données Brésil |
title_short |
Using the Robson classification to assess caesarean section rates in Brazil: an observational study of more than 24 million births from 2011 to 2017 |
title_full |
Using the Robson classification to assess caesarean section rates in Brazil: an observational study of more than 24 million births from 2011 to 2017 |
title_fullStr |
Using the Robson classification to assess caesarean section rates in Brazil: an observational study of more than 24 million births from 2011 to 2017 |
title_full_unstemmed |
Using the Robson classification to assess caesarean section rates in Brazil: an observational study of more than 24 million births from 2011 to 2017 |
title_sort |
Using the Robson classification to assess caesarean section rates in Brazil: an observational study of more than 24 million births from 2011 to 2017 |
author |
Paixao, Enny Santos da |
author_facet |
Paixao, Enny Santos da Bottomley, Christian Smeeth, Liam Costa, Maria Conceição N. da Teixeira, Maria Gloria Ichihara, Maria Yury Gabrielli, Ligia Barreto, Mauricio Lima Campbell, Oona M. R |
author_role |
author |
author2 |
Bottomley, Christian Smeeth, Liam Costa, Maria Conceição N. da Teixeira, Maria Gloria Ichihara, Maria Yury Gabrielli, Ligia Barreto, Mauricio Lima Campbell, Oona M. R |
author2_role |
author author author author author author author author |
dc.contributor.author.fl_str_mv |
Paixao, Enny Santos da Bottomley, Christian Smeeth, Liam Costa, Maria Conceição N. da Teixeira, Maria Gloria Ichihara, Maria Yury Gabrielli, Ligia Barreto, Mauricio Lima Campbell, Oona M. R |
dc.subject.other.pt_BR.fl_str_mv |
Cesárea Parto Coleta de Dados Brasil |
topic |
Cesárea Parto Coleta de Dados Brasil Cesarean Section Parturition Data Collection Brasil Cesárea Parto Recolección de Datos Brasil Césarienne Parturition Collecte de données Brésil |
dc.subject.en.pt_BR.fl_str_mv |
Cesarean Section Parturition Data Collection Brasil |
dc.subject.es.pt_BR.fl_str_mv |
Cesárea Parto Recolección de Datos Brasil |
dc.subject.fr.pt_BR.fl_str_mv |
Césarienne Parturition Collecte de données Brésil |
description |
Central da Secretaria de Vigilância em Saúde do Ministério da Saúde. Fundação de Amparo à Pesquisa do Estado da Bahia (FAPESB). Wellcome Trust. |
publishDate |
2021 |
dc.date.issued.fl_str_mv |
2021 |
dc.date.accessioned.fl_str_mv |
2022-02-16T16:20:59Z |
dc.date.available.fl_str_mv |
2022-02-16T16:20:59Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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publishedVersion |
dc.identifier.citation.fl_str_mv |
Paixão, Enny S et at. Using the Robson classification to assess caesarean section rates in Brazil: an observational study of more than 24 million births from 2011 to 2017. Pregnancy and Childbirth, v. 21, n. 589, p. 1-8, 2021. |
dc.identifier.uri.fl_str_mv |
https://www.arca.fiocruz.br/handle/icict/51245 |
dc.identifier.issn.pt_BR.fl_str_mv |
1471-2393 |
dc.identifier.doi.none.fl_str_mv |
doi.org/10.1186/s12884-021-04060-5 |
identifier_str_mv |
Paixão, Enny S et at. Using the Robson classification to assess caesarean section rates in Brazil: an observational study of more than 24 million births from 2011 to 2017. Pregnancy and Childbirth, v. 21, n. 589, p. 1-8, 2021. 1471-2393 doi.org/10.1186/s12884-021-04060-5 |
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https://www.arca.fiocruz.br/handle/icict/51245 |
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eng |
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