Abstract
Aiming to analyze the spatial distribution and self-correlation of data of mother-child health in Parana, Brazil, variables were selected from the Information System on Live Births, grouped into socioeconomic indicators: teenage mother, low education, high parity, race/color black of newborn; healthcare indicators: the prenatal coverage, prematurity and cesarean delivery and result indicators: low birth weight. The indicators were distributed in thematic maps and spatial self-correlation was measured using Moran's index that quantifies the degree of self-correlation. There was significant spatial self-correlation of teenage mother, low education and high parity of the "high-high" type in the macro-regions East, Campos Gerais and South; of low coverage of antenatal care in Campos Gerais, Central-south and North and of cesarean delivery in the Northwest. Elevated proportions of indicators of risk to the health of mother and child were found in the regions East, Campos Gerais and South. These results support the evaluation and planning of health services.
Highlights
The health of mother and child remains a priority in the agenda of actions and programs of the Brazilian National Health System (SUS)
The results of this study show the difference between the regions of Paraná State for indicators of socioeconomic situation, teenage mother, low maternal education and high parity indicating clusters of municipalities with higher proportions in the macroregions Centre-south (Guarapuava), East (Curitiba) and Campos Gerais (Ponta Grossa)
One probable explanation for the concentration of teenage mothers, with low education and high parity in the same regions of the State may be the result of the characteristics of those regions where municipalities with a low, medium-low, or medium level of socioeconomic development predominate(10)
Summary
The health of mother and child remains a priority in the agenda of actions and programs of the Brazilian National Health System (SUS). Besides the traditional information on morbidity and mortality, other information can be used to describe and understand, even indirectly, the health aspects of mother and child and the health care in a particular location. Data such as age and education of the mother, type of delivery, birth weight and number of prenatal care visits should be constantly analyzed by the health team, as well as describing the health situation of the community, these data can provide important information on the activities www.eerp.usp.br/rlae. One way to know the health in the community is through the analysis of indicators, according to geographical areas that identify clusters of municipalities or districts with similar characteristics, from the distribution of patterns of morbidity to the allocation of services(4)
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