Using the Robson classification to assess caesarean section rates in Brazil: an observational study of more than 24 million births from 2011 to 2017

Detalhes bibliográficos
Autor(a) principal: Paixao, Enny Santos da
Data de Publicação: 2021
Outros Autores: Bottomley, Christian, Smeeth, Liam, Costa, Maria Conceição N. da, Teixeira, Maria Gloria, Ichihara, Maria Yury, Gabrielli, Ligia, Barreto, Mauricio Lima, Campbell, Oona M. R
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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spelling 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
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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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
url https://www.arca.fiocruz.br/handle/icict/51245
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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