Sampling design for the Birth in Brazil: National Survey into Labor and Birth
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/5480 |
Resumo: | This paper describes the sample design for the National Survey into Labor and Birth in Brazil. The hospitals with 500 or more live births in 2007 were stratified into: the five Brazilian regions; state capital or not; and type of governance. They were then selected with probability proportional to the number of live births in 2007. An inverse sampling method was used to select as many days (minimum of 7) as necessary to reach 90 interviews in the hospital. Postnatal women were sampled with equal probability from the set of eligible women, who had entered the hospital in the sampled days. Initial sample weights were computed as the reciprocals of the sample inclusion probabilities and were calibrated to ensure that total estimates of the number of live births from the survey matched the known figures obtained from the Brazilian System of Information on Live Births. For the two telephone follow-up waves (6 and 12 months later), the postnatal woman’s response probability was modelled using baseline covariate information in order to adjust the sample weights for nonresponse in each follow-up wave. |
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Sampling design for the Birth in Brazil: National Survey into Labor and BirthDesenho da amostra Nascer no Brasil: Pesquisa Nacional sobre Parto e NascimentoSampling StudiesStratified SamplingStatistical ModelesParturitionAmostragemAmostragem EstratificadaModelos EstatísticosPartoThis paper describes the sample design for the National Survey into Labor and Birth in Brazil. The hospitals with 500 or more live births in 2007 were stratified into: the five Brazilian regions; state capital or not; and type of governance. They were then selected with probability proportional to the number of live births in 2007. An inverse sampling method was used to select as many days (minimum of 7) as necessary to reach 90 interviews in the hospital. Postnatal women were sampled with equal probability from the set of eligible women, who had entered the hospital in the sampled days. Initial sample weights were computed as the reciprocals of the sample inclusion probabilities and were calibrated to ensure that total estimates of the number of live births from the survey matched the known figures obtained from the Brazilian System of Information on Live Births. For the two telephone follow-up waves (6 and 12 months later), the postnatal woman’s response probability was modelled using baseline covariate information in order to adjust the sample weights for nonresponse in each follow-up wave.Este artículo describe la muestra de la Encuesta Nacional sobre Partos y Nacimientos en Brasil. Los hospitales con 500 o más nacimientos en 2007 fueron estratificados por región, capital del estado o no, y tipo, y se seleccionan con probabilidad proporcional al número de nacidos vivos en 2007. Se utilizó un muestreo inverso para seleccionar los días de encuesta (mínimo 7), con el fin de lograr 90 entrevistas en el hospital. Se realizó el muestreo de las mujeres posparto, con igual probabilidad entre las mujeres elegibles que entraron en el hospital cada día. Los pesos iniciales son el inverso del producto de las probabilidades de inclusión en cada etapa y se calibraron para asegurar que las estimaciones del total de nacidos vivos correspondieran al total de nacidos vivos, obtenidos a partir de SINASC. Para los dos seguimientos telefónicos (6 y 12 meses después), la probabilidad de respuesta de las mujeres posparto fue modelada a partir de variables disponibles en la investigación básica, a fin de corregir, debido a la no-respuesta, los pesos de la muestra de cada ola de seguimiento.Este artigo descreve a amostra da Pesquisa Nacional sobre Parto e Nascimento no Brasil. Os hospitais com 500 ou mais nascidos vivos em 2007 foram estratificados por macrorregião, capital de estado ou não, e tipo, e selecionados com probabilidade proporcional ao número de nascidos-vivos em 2007. Amostragem inversa foi usada para selecionar tantos dias de pesquisa (mínimo de 7) quantos fossem necessários para alcançar 90 entrevistas realizadas com puérperas no hospital. As puérperas foram amostradas com igual probabilidade entre as elegíveis que entraram no hospital no dia. Os pesos amostrais básicos são o inverso do produto das probabilidades de inclusão em cada estágio e foram calibrados para assegurar que estimativas dos totais de nascidos vivos dos estratos correspondessem aos totais de nascidos vivos obtidos no SINASC. Para os dois seguimentos telefônicos (6 e 12 meses depois), a probabilidade de resposta das puérperas foi modelada pelas variáveis disponíveis na pesquisa de base, a fim de corrigir, para a não resposta, os pesos amostrais em cada onda de seguimento.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/5480Reports 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/5480/11310https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/5480/11311https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/5480/11312https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/5480/11313Mauricio Teixeira Leite de VasconcellosPedro Luis do Nascimento SilvaAna Paula Esteves PereiraArthur Orlando Correa SchilithzPaulo Roberto Borges de Souza JuniorCelia Landmann Szwarcwaldinfo:eu-repo/semantics/openAccess2024-03-06T15:28:44Zoai:ojs.teste-cadernos.ensp.fiocruz.br:article/5480Revistahttps://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:2024-03-06T13:06:18.068735Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ)true |
dc.title.none.fl_str_mv |
Sampling design for the Birth in Brazil: National Survey into Labor and Birth Desenho da amostra Nascer no Brasil: Pesquisa Nacional sobre Parto e Nascimento |
title |
Sampling design for the Birth in Brazil: National Survey into Labor and Birth |
spellingShingle |
Sampling design for the Birth in Brazil: National Survey into Labor and Birth Mauricio Teixeira Leite de Vasconcellos Sampling Studies Stratified Sampling Statistical Modeles Parturition Amostragem Amostragem Estratificada Modelos Estatísticos Parto |
title_short |
Sampling design for the Birth in Brazil: National Survey into Labor and Birth |
title_full |
Sampling design for the Birth in Brazil: National Survey into Labor and Birth |
title_fullStr |
Sampling design for the Birth in Brazil: National Survey into Labor and Birth |
title_full_unstemmed |
Sampling design for the Birth in Brazil: National Survey into Labor and Birth |
title_sort |
Sampling design for the Birth in Brazil: National Survey into Labor and Birth |
author |
Mauricio Teixeira Leite de Vasconcellos |
author_facet |
Mauricio Teixeira Leite de Vasconcellos Pedro Luis do Nascimento Silva Ana Paula Esteves Pereira Arthur Orlando Correa Schilithz Paulo Roberto Borges de Souza Junior Celia Landmann Szwarcwald |
author_role |
author |
author2 |
Pedro Luis do Nascimento Silva Ana Paula Esteves Pereira Arthur Orlando Correa Schilithz Paulo Roberto Borges de Souza Junior Celia Landmann Szwarcwald |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Mauricio Teixeira Leite de Vasconcellos Pedro Luis do Nascimento Silva Ana Paula Esteves Pereira Arthur Orlando Correa Schilithz Paulo Roberto Borges de Souza Junior Celia Landmann Szwarcwald |
dc.subject.por.fl_str_mv |
Sampling Studies Stratified Sampling Statistical Modeles Parturition Amostragem Amostragem Estratificada Modelos Estatísticos Parto |
topic |
Sampling Studies Stratified Sampling Statistical Modeles Parturition Amostragem Amostragem Estratificada Modelos Estatísticos Parto |
description |
This paper describes the sample design for the National Survey into Labor and Birth in Brazil. The hospitals with 500 or more live births in 2007 were stratified into: the five Brazilian regions; state capital or not; and type of governance. They were then selected with probability proportional to the number of live births in 2007. An inverse sampling method was used to select as many days (minimum of 7) as necessary to reach 90 interviews in the hospital. Postnatal women were sampled with equal probability from the set of eligible women, who had entered the hospital in the sampled days. Initial sample weights were computed as the reciprocals of the sample inclusion probabilities and were calibrated to ensure that total estimates of the number of live births from the survey matched the known figures obtained from the Brazilian System of Information on Live Births. For the two telephone follow-up waves (6 and 12 months later), the postnatal woman’s response probability was modelled using baseline covariate information in order to adjust the sample weights for nonresponse in each follow-up wave. |
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/5480 |
url |
https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/5480 |
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/5480/11310 https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/5480/11311 https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/5480/11312 https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/5480/11313 |
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 |
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 |
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1816705369243648000 |