Infant mortality rates according to socioeconomic status in a Brazilian city
OBJECTIVE: Data from municipal databases can be used to plan interventions aimed at reducing inequities in health care. The objective of the study was to determine the distribution of infant mortality according to an urban geoeconomic classification using routinely collected municipal data. METHODS:...
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Universidade de São Paulo
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Series: | Revista de Saúde Pública |
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Online Access: | http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0034-89102001000300007&lng=en&tlng=en |
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author | Marcelo Zubaran Goldani Marco Antonio Barbieri Heloisa Bettiol Marisa Ramos Barbieri Andrew Tomkins |
author_facet | Marcelo Zubaran Goldani Marco Antonio Barbieri Heloisa Bettiol Marisa Ramos Barbieri Andrew Tomkins |
author_sort | Marcelo Zubaran Goldani |
collection | DOAJ |
description | OBJECTIVE: Data from municipal databases can be used to plan interventions aimed at reducing inequities in health care. The objective of the study was to determine the distribution of infant mortality according to an urban geoeconomic classification using routinely collected municipal data. METHODS: All live births (total of 42,381) and infant deaths (total of 731) that occurred between 1994 and 1998 in Ribeirão Preto, Brazil, were considered. Four different geoeconomic areas were defined according to the family head's income in each administrative urban zone. RESULTS: The trends for infant mortality rate and its different components, neonatal mortality rate and post-neonatal mortality rate, decreased in Ribeirão Preto from 1994 to 1998 (chi-square for trend, p<0.05). These rates were inversely correlated with the distribution of lower salaries in the geoeconomic areas (less than 5 minimum wages per family head), in particular the post-neonatal mortality rate (chi-square for trend, p<0.05). Finally, the poor area showed a steady increase in excess infant mortality. CONCLUSIONS: The results indicate that infant mortality rates are associated with social inequality and can be monitored using municipal databases. The findings also suggest an increase in the impact of social inequality on infant health in Ribeirão Preto, especially in the poor area. The monitoring of health inequalities using municipal databases may be an increasingly more useful tool given the continuous decentralization of health management at the municipal level in Brazil. |
first_indexed | 2024-04-12T09:16:00Z |
format | Article |
id | doaj.art-59035a89bd9d42338b97c619e368b9a0 |
institution | Directory Open Access Journal |
issn | 0034-8910 1518-8787 |
language | English |
last_indexed | 2024-04-12T09:16:00Z |
publisher | Universidade de São Paulo |
record_format | Article |
series | Revista de Saúde Pública |
spelling | doaj.art-59035a89bd9d42338b97c619e368b9a02022-12-22T03:38:50ZengUniversidade de São PauloRevista de Saúde Pública0034-89101518-8787353256261S0034-89102001000300007Infant mortality rates according to socioeconomic status in a Brazilian cityMarcelo Zubaran Goldani0Marco Antonio Barbieri1Heloisa Bettiol2Marisa Ramos Barbieri3Andrew Tomkins4Universidade Federal do Rio Grande do SulUSPUSPUSPUniversity College of LondonOBJECTIVE: Data from municipal databases can be used to plan interventions aimed at reducing inequities in health care. The objective of the study was to determine the distribution of infant mortality according to an urban geoeconomic classification using routinely collected municipal data. METHODS: All live births (total of 42,381) and infant deaths (total of 731) that occurred between 1994 and 1998 in Ribeirão Preto, Brazil, were considered. Four different geoeconomic areas were defined according to the family head's income in each administrative urban zone. RESULTS: The trends for infant mortality rate and its different components, neonatal mortality rate and post-neonatal mortality rate, decreased in Ribeirão Preto from 1994 to 1998 (chi-square for trend, p<0.05). These rates were inversely correlated with the distribution of lower salaries in the geoeconomic areas (less than 5 minimum wages per family head), in particular the post-neonatal mortality rate (chi-square for trend, p<0.05). Finally, the poor area showed a steady increase in excess infant mortality. CONCLUSIONS: The results indicate that infant mortality rates are associated with social inequality and can be monitored using municipal databases. The findings also suggest an increase in the impact of social inequality on infant health in Ribeirão Preto, especially in the poor area. The monitoring of health inequalities using municipal databases may be an increasingly more useful tool given the continuous decentralization of health management at the municipal level in Brazil.http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0034-89102001000300007&lng=en&tlng=enmortalidade infantilcoeficiente de mortalidadeiniqüidade socialmortalidade neonatal (saúde pública)mortalidade pós-neonatalfatores socioeconômicosdistribuição espacialsistemas de informaçãorenda familiaráreas de pobreza |
spellingShingle | Marcelo Zubaran Goldani Marco Antonio Barbieri Heloisa Bettiol Marisa Ramos Barbieri Andrew Tomkins Infant mortality rates according to socioeconomic status in a Brazilian city Revista de Saúde Pública mortalidade infantil coeficiente de mortalidade iniqüidade social mortalidade neonatal (saúde pública) mortalidade pós-neonatal fatores socioeconômicos distribuição espacial sistemas de informação renda familiar áreas de pobreza |
title | Infant mortality rates according to socioeconomic status in a Brazilian city |
title_full | Infant mortality rates according to socioeconomic status in a Brazilian city |
title_fullStr | Infant mortality rates according to socioeconomic status in a Brazilian city |
title_full_unstemmed | Infant mortality rates according to socioeconomic status in a Brazilian city |
title_short | Infant mortality rates according to socioeconomic status in a Brazilian city |
title_sort | infant mortality rates according to socioeconomic status in a brazilian city |
topic | mortalidade infantil coeficiente de mortalidade iniqüidade social mortalidade neonatal (saúde pública) mortalidade pós-neonatal fatores socioeconômicos distribuição espacial sistemas de informação renda familiar áreas de pobreza |
url | http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0034-89102001000300007&lng=en&tlng=en |
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