Women who have undergone abortion in the city of Rio de Janeiro, Brazil: application of a Bayesian hierarchical model

Detalhes bibliográficos
Autor(a) principal: Natália Santana Paiva
Data de Publicação: 2020
Outros Autores: Daniel Antunes Maciel Villela, Leonardo Soares Bastos, Francisco I. Bastos
Tipo de documento: Artigo
Idioma: eng
por
Título da fonte: Cadernos de Saúde Pública
Texto Completo: https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/7356
Resumo: Estimates of number of women who have undergone induced abortion in jurisdictions with restrictive abortion laws are still scarce in the scientific literature, and the disparate estimates from currently used methods call for the application of innovative estimation techniques such as new indirect methods. This need is especially acute in more densely populated areas, such as Brazil’s state capitals, given the magnitude of unsafe abortions and the resulting risks and harms. The article aims to estimate the number of women who had induced abortions in the city of Rio de Janeiro in 2011, based on a Bayesian hierarchical model. The model was applied to data from a household survey that supported the use of the network scale-up method in the city of Rio de Janeiro, a Bayesian hierarchical model using indirect information based on the contact networks of randomly selected participants from the general population. Among the 1,758,145 women 15-49 years of age living in the city of Rio de Janeiro, 13,025 women (95%CrI: 10,635; 15,748) had induced abortions in 2011, resulting in a mean cumulative incidence of 7.41 (95%CrI: 6.05; 8.96) for every 1,000 women 15-49 years of age. The model’s self-validation process identified patterns of underestimation in stigmatized subpopulations with low social visibility, such as women who have undergone induced abortion. Induced abortion is a common practice among women in the city of Rio de Janeiro. New indirect estimation methods can contribute to more precise measurement of this event, considering the context of illegality, and thereby contribute to appropriate health policies.
id FIOCRUZ-5_733e23f558118caad30290979054710f
oai_identifier_str oai:ojs.teste-cadernos.ensp.fiocruz.br:article/7356
network_acronym_str FIOCRUZ-5
network_name_str Cadernos de Saúde Pública
repository_id_str
spelling Women who have undergone abortion in the city of Rio de Janeiro, Brazil: application of a Bayesian hierarchical modelMulheres que fizeram aborto no Município do Rio de Janeiro, Brasil: aplicação de um modelo hierárquico bayesianoInduced AbortionPopulation EstimatesStatistical Data AnalysesMultilevel AnalysisEstimation ThechniquesAborto InduzidoEstimativas de PopulaçãoAnálise Estatística de DadosAnálise MultinívelTécnicas de EstimaçãoEstimates of number of women who have undergone induced abortion in jurisdictions with restrictive abortion laws are still scarce in the scientific literature, and the disparate estimates from currently used methods call for the application of innovative estimation techniques such as new indirect methods. This need is especially acute in more densely populated areas, such as Brazil’s state capitals, given the magnitude of unsafe abortions and the resulting risks and harms. The article aims to estimate the number of women who had induced abortions in the city of Rio de Janeiro in 2011, based on a Bayesian hierarchical model. The model was applied to data from a household survey that supported the use of the network scale-up method in the city of Rio de Janeiro, a Bayesian hierarchical model using indirect information based on the contact networks of randomly selected participants from the general population. Among the 1,758,145 women 15-49 years of age living in the city of Rio de Janeiro, 13,025 women (95%CrI: 10,635; 15,748) had induced abortions in 2011, resulting in a mean cumulative incidence of 7.41 (95%CrI: 6.05; 8.96) for every 1,000 women 15-49 years of age. The model’s self-validation process identified patterns of underestimation in stigmatized subpopulations with low social visibility, such as women who have undergone induced abortion. Induced abortion is a common practice among women in the city of Rio de Janeiro. New indirect estimation methods can contribute to more precise measurement of this event, considering the context of illegality, and thereby contribute to appropriate health policies.Las estimaciones de mujeres que tuvieron un aborto provocado en localidades cuyas leyes son restrictivas todavía son escasas en la literatura científica, y la no coincidencia de las estimaciones procedentes de los métodos hoy en uso reclama urgentemente la aplicación de métodos innovadores, como los nuevos métodos indirectos. Tal necesidad es especialmente acuciante en las áreas más densamente pobladas, como las capitales brasileñas, dada la magnitud del fenómeno y los daños y riesgos derivados de allí. El artículo tiene como objetivo estimar el número de mujeres que realizaron un aborto provocado en el Municipio de Río de Janeiro, Brasil, en 2011, a partir de un modelo jerárquico bayesiano. Este se aplicó a los datos de una encuesta domiciliaria que fomentó la utilización del método network scale-up, en el Municipio de Río de Janeiro, un modelo jerárquico bayesiano utilizando información indirecta, basada en la red de contactos de los participantes seleccionados de forma aleatoria en la población. De las 1.758.145 mujeres de 15-49 años, residentes en el Municipio de Río de Janeiro, 13.025 (ICr95%: 10.635; 15.748) mujeres tuvieron un aborto provocado en 2011, resultando en una incidencia acumulada media de 7,41 (ICr95%: 6,05; 8,96) para cada 1.000 mujeres de 15-49 años. El estudio de autovalidación del modelo permitió identificar patrones de subestimación en subpoblaciones estigmatizadas con baja visibilidad social, como las mujeres que tuvieron un aborto provocado. El aborto provocado es una práctica recurrente entre mujeres en el municipio de Río de Janeiro. Nuevos métodos de estimación indirecta pueden contribuir a la aprehensión más precisa de este evento, considerando el contexto de ilegalidad, y contribuir a la formulación de políticas de salud.Estimativas de mulheres que fizeram aborto provocado em localidades cujas leis são restritivas ainda são escassas na literatura científica, e a não coincidência de estimativas oriundas dos métodos hoje em uso clama pela aplicação de métodos inovadores, como novos métodos indiretos. Tal necessidade é especialmente aguda nas áreas mais densamente povoadas, como as capitais brasileiras, dada a magnitude do fenômeno e os danos e riscos daí decorrentes. O artigo objetiva estimar o número de mulheres que fez aborto provocado no Município do Rio de Janeiro, Brasil, em 2011, por meio de um modelo hierárquico bayesiano. Ele foi aplicado aos dados de um inquérito domiciliar que subsidiou a utilização do método network scale-up, no Município do Rio de Janeiro, um modelo hierárquico bayesiano utilizando as informações indiretas baseadas na rede de contatos dos participantes selecionados de forma aleatória da população. Das 1.758.145 mulheres de 15-49 anos residentes no Município do Rio de Janeiro (13.025; ICr95%: 10.635; 15.748) mulheres fizeram aborto provocado em 2011, resultando numa incidência acumulada média de 7,41 (ICr95%: 6,05; 8,96) para cada 1.000 mulheres de 15-49 anos. O estudo de autovalidação do modelo permitiu identificar padrões de subestimação em subpopulações estigmatizadas com baixa visibilidade social, como mulheres fizeram aborto provocado. O abortamento provocado é uma prática recorrente entre as mulheres no Município do Rio de Janeiro. Novos métodos de estimação indireta podem contribuir para a apreensão mais precisa do evento, considerando o contexto de ilegalidade, e contribuir para formulação de políticas de saúde.Reports in Public HealthCadernos de Saúde Pública2020-02-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmltext/htmlapplication/pdfapplication/pdfhttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/7356Reports in Public Health; Vol. 36 No. 13 (2020): Supplement 1Cadernos de Saúde Pública; v. 36 n. 13 (2020): Suplemento 11678-44640102-311Xreponame:Cadernos de Saúde Públicainstname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZengporhttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/7356/16194https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/7356/16195https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/7356/16196https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/7356/16197Natália Santana PaivaDaniel Antunes Maciel VillelaLeonardo Soares BastosFrancisco I. Bastosinfo:eu-repo/semantics/openAccess2024-03-06T15:29:53Zoai:ojs.teste-cadernos.ensp.fiocruz.br:article/7356Revistahttps://cadernos.ensp.fiocruz.br/ojs/index.php/csphttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/oaicadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br1678-44640102-311Xopendoar:2024-03-06T13:08:27.240527Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ)true
dc.title.none.fl_str_mv Women who have undergone abortion in the city of Rio de Janeiro, Brazil: application of a Bayesian hierarchical model
Mulheres que fizeram aborto no Município do Rio de Janeiro, Brasil: aplicação de um modelo hierárquico bayesiano
title Women who have undergone abortion in the city of Rio de Janeiro, Brazil: application of a Bayesian hierarchical model
spellingShingle Women who have undergone abortion in the city of Rio de Janeiro, Brazil: application of a Bayesian hierarchical model
Natália Santana Paiva
Induced Abortion
Population Estimates
Statistical Data Analyses
Multilevel Analysis
Estimation Thechniques
Aborto Induzido
Estimativas de População
Análise Estatística de Dados
Análise Multinível
Técnicas de Estimação
title_short Women who have undergone abortion in the city of Rio de Janeiro, Brazil: application of a Bayesian hierarchical model
title_full Women who have undergone abortion in the city of Rio de Janeiro, Brazil: application of a Bayesian hierarchical model
title_fullStr Women who have undergone abortion in the city of Rio de Janeiro, Brazil: application of a Bayesian hierarchical model
title_full_unstemmed Women who have undergone abortion in the city of Rio de Janeiro, Brazil: application of a Bayesian hierarchical model
title_sort Women who have undergone abortion in the city of Rio de Janeiro, Brazil: application of a Bayesian hierarchical model
author Natália Santana Paiva
author_facet Natália Santana Paiva
Daniel Antunes Maciel Villela
Leonardo Soares Bastos
Francisco I. Bastos
author_role author
author2 Daniel Antunes Maciel Villela
Leonardo Soares Bastos
Francisco I. Bastos
author2_role author
author
author
dc.contributor.author.fl_str_mv Natália Santana Paiva
Daniel Antunes Maciel Villela
Leonardo Soares Bastos
Francisco I. Bastos
dc.subject.por.fl_str_mv Induced Abortion
Population Estimates
Statistical Data Analyses
Multilevel Analysis
Estimation Thechniques
Aborto Induzido
Estimativas de População
Análise Estatística de Dados
Análise Multinível
Técnicas de Estimação
topic Induced Abortion
Population Estimates
Statistical Data Analyses
Multilevel Analysis
Estimation Thechniques
Aborto Induzido
Estimativas de População
Análise Estatística de Dados
Análise Multinível
Técnicas de Estimação
description Estimates of number of women who have undergone induced abortion in jurisdictions with restrictive abortion laws are still scarce in the scientific literature, and the disparate estimates from currently used methods call for the application of innovative estimation techniques such as new indirect methods. This need is especially acute in more densely populated areas, such as Brazil’s state capitals, given the magnitude of unsafe abortions and the resulting risks and harms. The article aims to estimate the number of women who had induced abortions in the city of Rio de Janeiro in 2011, based on a Bayesian hierarchical model. The model was applied to data from a household survey that supported the use of the network scale-up method in the city of Rio de Janeiro, a Bayesian hierarchical model using indirect information based on the contact networks of randomly selected participants from the general population. Among the 1,758,145 women 15-49 years of age living in the city of Rio de Janeiro, 13,025 women (95%CrI: 10,635; 15,748) had induced abortions in 2011, resulting in a mean cumulative incidence of 7.41 (95%CrI: 6.05; 8.96) for every 1,000 women 15-49 years of age. The model’s self-validation process identified patterns of underestimation in stigmatized subpopulations with low social visibility, such as women who have undergone induced abortion. Induced abortion is a common practice among women in the city of Rio de Janeiro. New indirect estimation methods can contribute to more precise measurement of this event, considering the context of illegality, and thereby contribute to appropriate health policies.
publishDate 2020
dc.date.none.fl_str_mv 2020-02-10
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/7356
url https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/7356
dc.language.iso.fl_str_mv eng
por
language eng
por
dc.relation.none.fl_str_mv https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/7356/16194
https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/7356/16195
https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/7356/16196
https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/7356/16197
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
text/html
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Reports in Public Health
Cadernos de Saúde Pública
publisher.none.fl_str_mv Reports in Public Health
Cadernos de Saúde Pública
dc.source.none.fl_str_mv Reports in Public Health; Vol. 36 No. 13 (2020): Supplement 1
Cadernos de Saúde Pública; v. 36 n. 13 (2020): Suplemento 1
1678-4464
0102-311X
reponame:Cadernos de Saúde Pública
instname:Fundação Oswaldo Cruz (FIOCRUZ)
instacron:FIOCRUZ
instname_str Fundação Oswaldo Cruz (FIOCRUZ)
instacron_str FIOCRUZ
institution FIOCRUZ
reponame_str Cadernos de Saúde Pública
collection Cadernos de Saúde Pública
repository.name.fl_str_mv Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ)
repository.mail.fl_str_mv cadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br
_version_ 1798943391638093824