Desigualdade sócio-espacial expressa por indicadores do Sistema de Informações sobre Nascidos Vivos (SINASC)

Cadernos de Saúde Pública

Kelen Marja Predebon²  Thais Aidar De Freitas Mathias¹  Tirza Aidar¹  Ana Lucia Rodrigues¹ 

[1],Ministério do Trabalho e Emprego Superintendência de São Paulo São Paulo,Brasil

关键词: Live Birth;    Information Systems;    Health Inequalities;    Spatial Distribution;    Nascimento Vivo;    Sistemas de Informação;    Desigualdades em Saúde;    Distribuição Espacial;   

DOI  :  10.1590/S0102-311X2010000800012

来源: SciELO

【 摘 要 】

Variables from the Information System on Live Births (SINASC) were geocoded for municipalities from Greater Metropolitan Maringá, Paraná State, Brazil, for 19 population expansion areas (PEA). Thematic maps and the Moran I statistic and local indicators of spatial autocorrelation (LISA) were used to evaluate autocorrelation between teenage motherhood, low schooling, black/brown race/color, insufficient number of prenatal visits, cesarean delivery, prematurity, low birth weight, and 5-minute Apgar less than 8. Low schooling, black/brown race/color, and 5-minute Apgar < 8 were concentrated in the peripheral PEA, with significant autocorrelation (Moran I: 0.50; 0.67; and 0.63, respectively), while high cesarean rates were concentrated in the central PEA (Moran I = 0.59), where "low-low" patterns were observed, with black or brown teenage mothers with low schooling. High-risk clusters were identified in the peripheral PEA of Greater Metropolitan Maringá, showing that PEA is a feasible methodological alternative, together with the SINASC, for monitoring socio-spatial inequalities in maternal and child health.

【 授权许可】

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