Sampling design for the Birth in Brazil: National Survey into Labor and Birth

Detalhes bibliográficos
Autor(a) principal: Mauricio Teixeira Leite de Vasconcellos
Data de Publicação: 2014
Outros Autores: Pedro Luis do Nascimento Silva, Ana Paula Esteves Pereira, Arthur Orlando Correa Schilithz, Paulo Roberto Borges de Souza Junior, Celia Landmann Szwarcwald
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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spelling 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
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dc.language.iso.fl_str_mv eng
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language eng
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https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/5480/11312
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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)
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institution FIOCRUZ
reponame_str Cadernos de Saúde Pública
collection Cadernos de Saúde Pública
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