Mortalidade infantil e acesso geográfico ao parto nos municípios brasileiros

OBJETIVO: Analisar o acesso geográfico ao parto hospitalar nos municípios brasileiros. MÉTODOS: Foram analisadas informações de óbitos e nascimentos quanto à sua adequação para o cálculo do coeficiente de mortalidade infantil no período de 2005 a 2007 para os 5.564 municípios brasileiros. O acesso geográfico foi expresso por indicadores de deslocamento, oferta e acesso aos serviços de saúde. A associação entre o acesso geográfico ao parto e o coeficiente de mortalidade infantil em municípios com adequação de suas informações vitais foi avaliada por meio de regressão múltipla. RESULTADOS: Dentre os municípios analisados, 56% apresentaram adequação das informações vitais, correspondendo a 72% da população brasileira. O deslocamento geográfico ao parto mostrou-se inversamente associado ao porte populacional, à renda per capita, e à mortalidade infantil, mesmo controlado por fatores demográficos e socioeconômicos. CONCLUSÕES: Embora tenham sido desenvolvidas estratégias importantes para a melhoria da qualidade do atendimento às gestantes no Brasil, as ações para garantir o acesso igualitário à assistência ao parto ainda são insuficientes. O maior deslocamento intermunicipal para o parto se mostrou como um fator de risco para a mortalidade infantil, aliado à desigualdade de oferta de serviços qualificados e à falta de integração com a atenção básica de saúde

Under-five mortality: spatial-temporal clusters in Ifakara HDSS in South-eastern Tanzania.

BACKGROUND\ud \ud Childhood mortality remains an important subject, particularly in sub-Saharan Africa where levels are still unacceptably high. To achieve the set Millennium Development Goals 4, calls for comprehensive application of the proven cost-effective interventions. Understanding spatial clustering of childhood mortality can provide a guide in targeting the interventions in a more strategic approach to the population where mortality is highest and the interventions are most likely to make an impact.\ud \ud METHODS\ud \ud Annual child mortality rates were calculated for each village, using person-years observed as the denominator. Kulldorff's spatial scan statistic was used for the identification and testing of childhood mortality clusters. All under-five deaths that occurred within a 10-year period from 1997 to 2006 were included in the analysis. Villages were used as units of clusters; all 25 health and demographic surveillance sites (HDSS) villages in the Ifakara health and demographic surveillance area were included.\ud \ud RESULTS\ud \ud Of the 10 years of analysis, statistically significant spatial clustering was identified in only 2 years (1998 and 2001). In 1998, the statistically significant cluster (p < 0.01) was composed of nine villages. A total of 106 childhood deaths were observed against an expected 77.3. The other statistically significant cluster (p < 0.05) identified in 2001 was composed of only one village. In this cluster, 36 childhood deaths were observed compared to 20.3 expected. Purely temporal analysis indicated that the year 2003 was a significant cluster (p < 0.05). Total deaths were 393 and expected were 335.8. Spatial-temporal analysis showed that nine villages were identified as statistically significant clusters (p < 0.05) for the period covering January 1997-December 1998. Total observed deaths in this cluster were 205 while 150.7 were expected.\ud \ud CONCLUSION\ud \ud There is evidence of spatial clustering in childhood mortality within the Ifakara HDSS. Further investigations are needed to explore the source of clustering and identify strategies of reaching the cluster population with the existing effective interventions. However, that should happen alongside delivery of interventions to the broader population