Neonatal near miss in the Birth in Brazil survey
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , , , |
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/5491 |
Resumo: | This study used data from the Birth in Brazil survey, a nationwide hospital-based study of 24,197 postpartum women and their newborns, collected between February 2011 and July 2012. A three-stage cluster sampling design (hospitals, days, women) was used consisting of stratification by geographic region, type of municipality (capital or non-capital), and type of hospital financing. Logistic regression was used to identify variables that were potential predictors of neonatal mortality and neonatal near miss indicators. After testing nineteen variables, five were chosen to compose a set of neonatal near miss indicators (birth weight of less than 1,500g, Apgar score of less than 7 in the 5th minute of life, use of mechanical ventilation, gestational age of less than 32 weeks and congenital malformations). The neonatal near miss rate in the Birth in Brazil survey was 39.2 per thousand live births, three and a half times higher than the neonatal mortality rate (11.1 per thousand). These neonatal near miss indicators were able to identify situations with a high risk of neonatal death. |
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Neonatal near miss in the Birth in Brazil surveyMorbidade neonatal near miss na pesquisa Nascer no BrasilMaternal and Child HealthInfant MortalityLow Birth Weight InfantParturitionSaúde Materno-InfantilMortalidade InfantilRecém-Nascido de Baixo PesoPartoThis study used data from the Birth in Brazil survey, a nationwide hospital-based study of 24,197 postpartum women and their newborns, collected between February 2011 and July 2012. A three-stage cluster sampling design (hospitals, days, women) was used consisting of stratification by geographic region, type of municipality (capital or non-capital), and type of hospital financing. Logistic regression was used to identify variables that were potential predictors of neonatal mortality and neonatal near miss indicators. After testing nineteen variables, five were chosen to compose a set of neonatal near miss indicators (birth weight of less than 1,500g, Apgar score of less than 7 in the 5th minute of life, use of mechanical ventilation, gestational age of less than 32 weeks and congenital malformations). The neonatal near miss rate in the Birth in Brazil survey was 39.2 per thousand live births, three and a half times higher than the neonatal mortality rate (11.1 per thousand). These neonatal near miss indicators were able to identify situations with a high risk of neonatal death.Se utilizaron datos de la encuesta Nacer en Brasil, un estudio nacional de base hospitalaria, realizado con 24.197 madres y sus recién nacidos, recabado de febrero 2011 a julio 2012, para construir un indicador de morbilidad neonatal near miss. Se utilizó el muestreo por conglomerados en tres etapas (hospitales, días, mujeres), estratificado por microrregiones, tipo de municipio (capital o interior), y tipo de financiamiento de los hospitales. Se emplearon modelos de regresión logística para identificar las variables que podrían predecir la mortalidad neonatal y componer el indicador de morbilidad neonatal near miss. Una vez ensayadas 19 variables, cinco fueron elegidas (peso al nacer < 1.500g; Apgar a los 5 minutos de vida; < 7 ventilación mecánica; edad gestacional < 32 semanas, y reporte de malformaciones congénitas). La tasa de morbilidad neonatal near miss fue de un 30,2 por mil nacidos vivos, tres veces y media la tasa de mortalidad neonatal (11,1 por mil). El indicador de morbilidad neonatal near miss fue capaz de identificar situaciones con alto riesgo de muerte neonatal.Dados da pesquisa Nascer no Brasil, um estudo nacional de base hospitalar, incluindo 24.197 puérperas e seus recém-nascidos, de fevereiro de 2011 a julho de 2012, foram utilizados para construir um indicador de morbidade neonatal near miss. Foi utilizada amostragem por conglomerados em três estágios (hospitais, dias, mulheres), estratificada por macrorregião, tipo de município (capital ou interior) e tipo de financiamento hospitalar. Modelos de regressão logística foram utilizados para identificar as variáveis que poderiam predizer a mortalidade neonatal e compor o indicador neonatal near miss. Após serem testadas 19 variáveis, cinco foram escolhidas (peso ao nascer < 1.500g, Apgar no 5o minuto de vida < 7, uso de ventilação mecânica, idade gestacional < 32 semanas e relato de malformações congênitas). A taxa de morbidade neonatal near miss no inquérito Nascer no Brasil foi de 39,2 por mil nascidos vivos, três vezes e meia a taxa de mortalidade neonatal (11,1 por mil). O indicador de morbidade neonatal near miss foi capaz de identificar situações com alto risco de morte neonatal.Reports in Public HealthCadernos de Saúde Pública2014-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmltext/htmlapplication/pdfapplication/pdfhttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/5491Reports in Public Health; Vol. 30 No. 13 (2014): Supplement 1Cadernos de Saúde Pública; v. 30 n. 13 (2014): Suplemento 11678-44640102-311Xreponame:Cadernos de Saúde Públicainstname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZengporhttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/5491/11354https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/5491/11355https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/5491/11356https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/5491/11357Antônio Augusto Moura da SilvaÁlvaro Jorge Madeiro LeiteZeni Carvalho LamyMaria Elisabeth Lopes MoreiraRicardo Queiroz GurgelAntonio José Ledo Alves da CunhaMaria do Carmo Lealinfo:eu-repo/semantics/openAccess2024-03-06T15:28:44Zoai:ojs.teste-cadernos.ensp.fiocruz.br:article/5491Revistahttps://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:2024-03-06T13:06:18.820464Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ)true |
dc.title.none.fl_str_mv |
Neonatal near miss in the Birth in Brazil survey Morbidade neonatal near miss na pesquisa Nascer no Brasil |
title |
Neonatal near miss in the Birth in Brazil survey |
spellingShingle |
Neonatal near miss in the Birth in Brazil survey Antônio Augusto Moura da Silva Maternal and Child Health Infant Mortality Low Birth Weight Infant Parturition Saúde Materno-Infantil Mortalidade Infantil Recém-Nascido de Baixo Peso Parto |
title_short |
Neonatal near miss in the Birth in Brazil survey |
title_full |
Neonatal near miss in the Birth in Brazil survey |
title_fullStr |
Neonatal near miss in the Birth in Brazil survey |
title_full_unstemmed |
Neonatal near miss in the Birth in Brazil survey |
title_sort |
Neonatal near miss in the Birth in Brazil survey |
author |
Antônio Augusto Moura da Silva |
author_facet |
Antônio Augusto Moura da Silva Álvaro Jorge Madeiro Leite Zeni Carvalho Lamy Maria Elisabeth Lopes Moreira Ricardo Queiroz Gurgel Antonio José Ledo Alves da Cunha Maria do Carmo Leal |
author_role |
author |
author2 |
Álvaro Jorge Madeiro Leite Zeni Carvalho Lamy Maria Elisabeth Lopes Moreira Ricardo Queiroz Gurgel Antonio José Ledo Alves da Cunha Maria do Carmo Leal |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Antônio Augusto Moura da Silva Álvaro Jorge Madeiro Leite Zeni Carvalho Lamy Maria Elisabeth Lopes Moreira Ricardo Queiroz Gurgel Antonio José Ledo Alves da Cunha Maria do Carmo Leal |
dc.subject.por.fl_str_mv |
Maternal and Child Health Infant Mortality Low Birth Weight Infant Parturition Saúde Materno-Infantil Mortalidade Infantil Recém-Nascido de Baixo Peso Parto |
topic |
Maternal and Child Health Infant Mortality Low Birth Weight Infant Parturition Saúde Materno-Infantil Mortalidade Infantil Recém-Nascido de Baixo Peso Parto |
description |
This study used data from the Birth in Brazil survey, a nationwide hospital-based study of 24,197 postpartum women and their newborns, collected between February 2011 and July 2012. A three-stage cluster sampling design (hospitals, days, women) was used consisting of stratification by geographic region, type of municipality (capital or non-capital), and type of hospital financing. Logistic regression was used to identify variables that were potential predictors of neonatal mortality and neonatal near miss indicators. After testing nineteen variables, five were chosen to compose a set of neonatal near miss indicators (birth weight of less than 1,500g, Apgar score of less than 7 in the 5th minute of life, use of mechanical ventilation, gestational age of less than 32 weeks and congenital malformations). The neonatal near miss rate in the Birth in Brazil survey was 39.2 per thousand live births, three and a half times higher than the neonatal mortality rate (11.1 per thousand). These neonatal near miss indicators were able to identify situations with a high risk of neonatal death. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-08-01 |
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/5491 |
url |
https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/5491 |
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/5491/11354 https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/5491/11355 https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/5491/11356 https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/5491/11357 |
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. 30 No. 13 (2014): Supplement 1 Cadernos de Saúde Pública; v. 30 n. 13 (2014): Suplemento 1 1678-4464 0102-311X reponame:Cadernos de Saúde Pública instname:Fundação Oswaldo Cruz (FIOCRUZ) instacron:FIOCRUZ |
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Fundação Oswaldo Cruz (FIOCRUZ) |
instacron_str |
FIOCRUZ |
institution |
FIOCRUZ |
reponame_str |
Cadernos de Saúde Pública |
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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 |
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1798943376146432000 |