Conditional cash transfer program and child mortality: a cross-sectional analysis nested within the 100 million brazilian cohort

Detalhes bibliográficos
Autor(a) principal: Ramos, Dandara
Data de Publicação: 2021
Outros Autores: Silva, Nívea B. da, Ichihara, Maria Yury, Fiaccone, Rosemeire L, Almeida, Daniela, Sena, Samila, Rebouças, Poliana, Pinto Júnior, Elzo Pereira, Paixão, Enny Santos da, Ali, Sanni, Rodrigues, Laura C, Barreto, Maurício Lima
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/51267
Resumo: Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para a Saúde. Salvador, BA, Brasil / Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil.
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spelling Ramos, DandaraSilva, Nívea B. daIchihara, Maria YuryFiaccone, Rosemeire LAlmeida, DanielaSena, SamilaRebouças, PolianaPinto Júnior, Elzo PereiraPaixão, Enny Santos daAli, SanniRodrigues, Laura CBarreto, Maurício Lima2022-02-17T13:38:25Z2022-02-17T13:38:25Z2021Ramos Dandara et al. Conditional cash transfer program and child mortality: a cross-sectional analysis nested within the 100 million brazilian cohort. PLoS Med, v. 8, n.9, p. 1-20, 2021.1549-1676https://www.arca.fiocruz.br/handle/icict/51267doi.org/10.1371/journal.pmed.1003509engPublic Library of SciencePolítica PúblicaProgramas SociaisProteção Social em SaúdeMortalidade infantilPublic PolicySocial ProgramsSocial Protection in HealthInfant MortalityPolítica PúblicaProtección Social en SaludProtección Social en SaludMortalidad InfantilPolitique publiqueProgrammes SociauxProtection Sociale en SantéMortalité infantileConditional cash transfer program and child mortality: a cross-sectional analysis nested within the 100 million brazilian cohortinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleFundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para a 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 Conhecimento para a Saúde. Salvador, BA, Brasil / Universidade Federal da Bahia. Instituto de Matemática e Estatística. Departamento de Estatística. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para a 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 Conhecimento para a Saúde. Salvador, BA, Brasil / Universidade Federal da Bahia. Instituto de Matemática e Estatística. Departamento de Estatística. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para a Saúde. Salvador, BA, Brasil / Universidade Federal da Bahia. Instituto de Matemática e Estatística. Departamento de Informática. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para a Saúde. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para a 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 Conhecimento para a Saúde. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para a Saúde. Salvador, BA, Brasil / Faculty of Epidemiology and Population Health. London School of Hygiene & Tropical Medicine. London, United Kingdom.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para a Saúde. Salvador, BA, Brasil / Faculty of Epidemiology and Population Health. London School of Hygiene & Tropical Medicine. London, United Kingdom.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para a Saúde. Salvador, BA, Brasil / Faculty of Epidemiology and Population Health. London School of Hygiene & Tropical Medicine. London, United Kingdom.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para a Saúde. Salvador, BA, Brasil / Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil.Background: Brazil has made great progress in reducing child mortality over the past decades, and a parcel of this achievement has been credited to the Bolsa Família program (BFP). We examined the association between being a BFP beneficiary and child mortality (1–4 years of age), also examining how this association differs by maternal race/skin color, gestational age at birth (term versus preterm), municipality income level, and index of quality of BFP management. Methods and findings This is a cross-sectional analysis nested within the 100 Million Brazilian Cohort, a population-based cohort primarily built from Brazil’s Unified Registry for Social Programs (Cadastro Único). We analyzed data from 6,309,366 children under 5 years of age whose families enrolled between 2006 and 2015. Through deterministic linkage with the BFP payroll datasets, and similarity linkage with the Brazilian Mortality Information System, 4,858,253 children were identified as beneficiaries (77%) and 1,451,113 (23%) were not. Our analysis consisted of a combination of kernel matching and weighted logistic regressions. After kernel matching, 5,308,989 (84.1%) children were included in the final weighted logistic analysis, with 4,107,920 (77.4%) of those being beneficiaries and 1,201,069 (22.6%) not, with a total of 14,897 linked deaths. Overall, BFP participation was associated with a reduction in child mortality (weighted odds ratio [OR] = 0.83; 95% CI: 0.79 to 0.88; p < 0.001). This association was stronger for preterm children (weighted OR = 0.78; 95% CI: 0.68 to 0.90; p < 0.001), children of Black mothers (weighted OR = 0.74; 95% CI: 0.57 to 0.97; p < 0.001), children living in municipalities in the lowest income quintile (first quintile of municipal income: weighted OR = 0.72; 95% CI: 0.62 to 0.82; p < 0.001), and municipalities with better index of BFP management (5th quintile of the Decentralized Management Index: weighted OR = 0.76; 95% CI: 0.66 to 0.88; p < 0.001). The main limitation of our methodology is that our propensity score approach does not account for possible unmeasured confounders. Furthermore, sensitivity analysis showed that loss of nameless death records before linkage may have resulted in overestimation of the associations between BFP participation and mortality, with loss of statistical significance in municipalities with greater losses of data and change in the direction of the association in municipalities with no losses. Conclusions: In this study, we observed a significant association between BFP participation and child mortality in children aged 1–4 years and found that this association was stronger for children living in municipalities in the lowest quintile of wealth, in municipalities with better index of program management, and also in preterm children and children of Black mothers. These findings reinforce the evidence that programs like BFP, already proven effective in poverty reduction, have a great potential to improve child health and survival. Subgroup analysis revealed heterogeneous results, useful for policy improvement and better targeting of BFP.info: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/51267/1/license.txt5a560609d32a3863062d77ff32785d58MD51ORIGINALRamos, D. Conditional....pdfRamos, D. 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dc.title.pt_BR.fl_str_mv Conditional cash transfer program and child mortality: a cross-sectional analysis nested within the 100 million brazilian cohort
title Conditional cash transfer program and child mortality: a cross-sectional analysis nested within the 100 million brazilian cohort
spellingShingle Conditional cash transfer program and child mortality: a cross-sectional analysis nested within the 100 million brazilian cohort
Ramos, Dandara
Política Pública
Programas Sociais
Proteção Social em Saúde
Mortalidade infantil
Public Policy
Social Programs
Social Protection in Health
Infant Mortality
Política Pública
Protección Social en Salud
Protección Social en Salud
Mortalidad Infantil
Politique publique
Programmes Sociaux
Protection Sociale en Santé
Mortalité infantile
title_short Conditional cash transfer program and child mortality: a cross-sectional analysis nested within the 100 million brazilian cohort
title_full Conditional cash transfer program and child mortality: a cross-sectional analysis nested within the 100 million brazilian cohort
title_fullStr Conditional cash transfer program and child mortality: a cross-sectional analysis nested within the 100 million brazilian cohort
title_full_unstemmed Conditional cash transfer program and child mortality: a cross-sectional analysis nested within the 100 million brazilian cohort
title_sort Conditional cash transfer program and child mortality: a cross-sectional analysis nested within the 100 million brazilian cohort
author Ramos, Dandara
author_facet Ramos, Dandara
Silva, Nívea B. da
Ichihara, Maria Yury
Fiaccone, Rosemeire L
Almeida, Daniela
Sena, Samila
Rebouças, Poliana
Pinto Júnior, Elzo Pereira
Paixão, Enny Santos da
Ali, Sanni
Rodrigues, Laura C
Barreto, Maurício Lima
author_role author
author2 Silva, Nívea B. da
Ichihara, Maria Yury
Fiaccone, Rosemeire L
Almeida, Daniela
Sena, Samila
Rebouças, Poliana
Pinto Júnior, Elzo Pereira
Paixão, Enny Santos da
Ali, Sanni
Rodrigues, Laura C
Barreto, Maurício Lima
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Ramos, Dandara
Silva, Nívea B. da
Ichihara, Maria Yury
Fiaccone, Rosemeire L
Almeida, Daniela
Sena, Samila
Rebouças, Poliana
Pinto Júnior, Elzo Pereira
Paixão, Enny Santos da
Ali, Sanni
Rodrigues, Laura C
Barreto, Maurício Lima
dc.subject.other.pt_BR.fl_str_mv Política Pública
Programas Sociais
Proteção Social em Saúde
Mortalidade infantil
topic Política Pública
Programas Sociais
Proteção Social em Saúde
Mortalidade infantil
Public Policy
Social Programs
Social Protection in Health
Infant Mortality
Política Pública
Protección Social en Salud
Protección Social en Salud
Mortalidad Infantil
Politique publique
Programmes Sociaux
Protection Sociale en Santé
Mortalité infantile
dc.subject.en.pt_BR.fl_str_mv Public Policy
Social Programs
Social Protection in Health
Infant Mortality
dc.subject.es.pt_BR.fl_str_mv Política Pública
Protección Social en Salud
Protección Social en Salud
Mortalidad Infantil
dc.subject.fr.pt_BR.fl_str_mv Politique publique
Programmes Sociaux
Protection Sociale en Santé
Mortalité infantile
description Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para a Saúde. Salvador, BA, Brasil / Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil.
publishDate 2021
dc.date.issued.fl_str_mv 2021
dc.date.accessioned.fl_str_mv 2022-02-17T13:38:25Z
dc.date.available.fl_str_mv 2022-02-17T13:38:25Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv Ramos Dandara et al. Conditional cash transfer program and child mortality: a cross-sectional analysis nested within the 100 million brazilian cohort. PLoS Med, v. 8, n.9, p. 1-20, 2021.
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/51267
dc.identifier.issn.pt_BR.fl_str_mv 1549-1676
dc.identifier.doi.none.fl_str_mv doi.org/10.1371/journal.pmed.1003509
identifier_str_mv Ramos Dandara et al. Conditional cash transfer program and child mortality: a cross-sectional analysis nested within the 100 million brazilian cohort. PLoS Med, v. 8, n.9, p. 1-20, 2021.
1549-1676
doi.org/10.1371/journal.pmed.1003509
url https://www.arca.fiocruz.br/handle/icict/51267
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of Science
dc.source.none.fl_str_mv reponame:Repositório Institucional da FIOCRUZ (ARCA)
instname:Fundação Oswaldo Cruz (FIOCRUZ)
instacron:FIOCRUZ
instname_str Fundação Oswaldo Cruz (FIOCRUZ)
instacron_str FIOCRUZ
institution FIOCRUZ
reponame_str Repositório Institucional da FIOCRUZ (ARCA)
collection Repositório Institucional da FIOCRUZ (ARCA)
bitstream.url.fl_str_mv https://www.arca.fiocruz.br/bitstream/icict/51267/1/license.txt
https://www.arca.fiocruz.br/bitstream/icict/51267/2/Ramos%2c%20D.%20Conditional....pdf
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repository.name.fl_str_mv Repositório Institucional da FIOCRUZ (ARCA) - Fundação Oswaldo Cruz (FIOCRUZ)
repository.mail.fl_str_mv repositorio.arca@fiocruz.br
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