Spatial patterns of avoidable fetal mortality and social deprivation

Detalhes bibliográficos
Autor(a) principal: Canuto,Indianara Maria de Barros
Data de Publicação: 2021
Outros Autores: Macêdo,Vilma Costa de, Frias,Paulo Germano de, Oliveira,Conceição Maria de, Costa,Heitor Victor Veiga da, Portugal,José Luiz, Bonfim,Cristine Vieira do
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista brasileira de epidemiologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2021000200412
Resumo: ABSTRACT: Objective: To develop a social need index for stratification of municipalities and identification of priority areas for reducing fetal mortality. Methods: ecological study, carried out in the state of Pernambuco, between 2010 and 2017. The technique of factor analysis by main components was used for the elaboration of the social need index. In the spatial analysis, the local empirical Bayesian estimator was applied and Moran's spatial autocorrelation was verified. Results: The social deprivation index selected two factors that, together, explained 77.63% of the total variance. The preventable fetal mortality rate increased among strata of social need, with rates of 8.0 per thousand births (low deprivation), 8.1 per thousand (medium deprivation), 8.8 per thousand (high deprivation), and 10.7 per thousand (very high social deprivation). Some municipalities in the São Francisco and Sertão Mesoregions had both high fetal and preventable fetal mortality, in addition to a very high social deprivation rate. Conclusion: The spatial analysis identified areas with the highest risk for fetal mortality. The social deprivation index listed some determinants of fetal deaths in areas with worse living conditions. Priority areas for intervention in public policies to reduce fetal mortality and its determinants were detected.
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spelling Spatial patterns of avoidable fetal mortality and social deprivationFetal mortalityVital statisticsSpatial analysisSocial inequityABSTRACT: Objective: To develop a social need index for stratification of municipalities and identification of priority areas for reducing fetal mortality. Methods: ecological study, carried out in the state of Pernambuco, between 2010 and 2017. The technique of factor analysis by main components was used for the elaboration of the social need index. In the spatial analysis, the local empirical Bayesian estimator was applied and Moran's spatial autocorrelation was verified. Results: The social deprivation index selected two factors that, together, explained 77.63% of the total variance. The preventable fetal mortality rate increased among strata of social need, with rates of 8.0 per thousand births (low deprivation), 8.1 per thousand (medium deprivation), 8.8 per thousand (high deprivation), and 10.7 per thousand (very high social deprivation). Some municipalities in the São Francisco and Sertão Mesoregions had both high fetal and preventable fetal mortality, in addition to a very high social deprivation rate. Conclusion: The spatial analysis identified areas with the highest risk for fetal mortality. The social deprivation index listed some determinants of fetal deaths in areas with worse living conditions. Priority areas for intervention in public policies to reduce fetal mortality and its determinants were detected.Associação Brasileira de Saúde Coletiva2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2021000200412Revista Brasileira de Epidemiologia v.24 suppl.1 2021reponame:Revista brasileira de epidemiologia (Online)instname:Associação Brasileira de Saúde Coletiva (ABRASCO)instacron:ABRASCO10.1590/1980-549720210007.supl.1info:eu-repo/semantics/openAccessCanuto,Indianara Maria de BarrosMacêdo,Vilma Costa deFrias,Paulo Germano deOliveira,Conceição Maria deCosta,Heitor Victor Veiga daPortugal,José LuizBonfim,Cristine Vieira doeng2021-04-14T00:00:00Zoai:scielo:S1415-790X2021000200412Revistahttp://www.scielo.br/rbepidhttps://old.scielo.br/oai/scielo-oai.php||revbrepi@usp.br1980-54971415-790Xopendoar:2021-04-14T00:00Revista brasileira de epidemiologia (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO)false
dc.title.none.fl_str_mv Spatial patterns of avoidable fetal mortality and social deprivation
title Spatial patterns of avoidable fetal mortality and social deprivation
spellingShingle Spatial patterns of avoidable fetal mortality and social deprivation
Canuto,Indianara Maria de Barros
Fetal mortality
Vital statistics
Spatial analysis
Social inequity
title_short Spatial patterns of avoidable fetal mortality and social deprivation
title_full Spatial patterns of avoidable fetal mortality and social deprivation
title_fullStr Spatial patterns of avoidable fetal mortality and social deprivation
title_full_unstemmed Spatial patterns of avoidable fetal mortality and social deprivation
title_sort Spatial patterns of avoidable fetal mortality and social deprivation
author Canuto,Indianara Maria de Barros
author_facet Canuto,Indianara Maria de Barros
Macêdo,Vilma Costa de
Frias,Paulo Germano de
Oliveira,Conceição Maria de
Costa,Heitor Victor Veiga da
Portugal,José Luiz
Bonfim,Cristine Vieira do
author_role author
author2 Macêdo,Vilma Costa de
Frias,Paulo Germano de
Oliveira,Conceição Maria de
Costa,Heitor Victor Veiga da
Portugal,José Luiz
Bonfim,Cristine Vieira do
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Canuto,Indianara Maria de Barros
Macêdo,Vilma Costa de
Frias,Paulo Germano de
Oliveira,Conceição Maria de
Costa,Heitor Victor Veiga da
Portugal,José Luiz
Bonfim,Cristine Vieira do
dc.subject.por.fl_str_mv Fetal mortality
Vital statistics
Spatial analysis
Social inequity
topic Fetal mortality
Vital statistics
Spatial analysis
Social inequity
description ABSTRACT: Objective: To develop a social need index for stratification of municipalities and identification of priority areas for reducing fetal mortality. Methods: ecological study, carried out in the state of Pernambuco, between 2010 and 2017. The technique of factor analysis by main components was used for the elaboration of the social need index. In the spatial analysis, the local empirical Bayesian estimator was applied and Moran's spatial autocorrelation was verified. Results: The social deprivation index selected two factors that, together, explained 77.63% of the total variance. The preventable fetal mortality rate increased among strata of social need, with rates of 8.0 per thousand births (low deprivation), 8.1 per thousand (medium deprivation), 8.8 per thousand (high deprivation), and 10.7 per thousand (very high social deprivation). Some municipalities in the São Francisco and Sertão Mesoregions had both high fetal and preventable fetal mortality, in addition to a very high social deprivation rate. Conclusion: The spatial analysis identified areas with the highest risk for fetal mortality. The social deprivation index listed some determinants of fetal deaths in areas with worse living conditions. Priority areas for intervention in public policies to reduce fetal mortality and its determinants were detected.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2021000200412
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1980-549720210007.supl.1
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Saúde Coletiva
publisher.none.fl_str_mv Associação Brasileira de Saúde Coletiva
dc.source.none.fl_str_mv Revista Brasileira de Epidemiologia v.24 suppl.1 2021
reponame:Revista brasileira de epidemiologia (Online)
instname:Associação Brasileira de Saúde Coletiva (ABRASCO)
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repository.name.fl_str_mv Revista brasileira de epidemiologia (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO)
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