ESTUDO QUANTITATIVO SOBRE O INDICADOR MORTALIDADE INFANTIL, EM SÃO LUÍS, NO PERÍODO DE 1999 A 2007.

Abstract

The infant mortality indicator in São Luís, historical series from 1999 to 2007. A quantitative study based on collected data from Basic Attention Information System (SIAB). It was developed treatment and correlation statistics from this data, which made possible the analysis of dispersal and the selected sample descriptive studies, including the variables crossing. It shows the scenario of health politics in Brazil, in special the Primary Attention as an important way to be reach to make stronger the health actions, development of life conditions and access to quality of health actions and services. The infant mortality data is important as a major focus from this politics and a key indicator of life conditions. Discussions are presented around the results, as they are national, from the state or local. It points up the fragility of Information Systems, the variable and visible lack of connection between practice and recorded information. Starting from quantitative method of multivariate analysis stepwise, makes part in the evaluation universe of infant mortality data, as a dependent variable from the rest of health data child presents at SIAB, considered don this study independents variables and calculated statistics for validation of a math model the represents this correlation, moment that were used forty six variables. Based on reached results, we could get a model that allows to affirm that the rate of global infant mortality can be explained by statistics in 98,1 %, through the variables: death of children down 28 days by acute respiratory infection (total by year), death of children down 28 days and 11 months/29 days by diarrhea (total by year), death of children down 1 year old by another causes (total by year) and death of children of 28 days and 11 months/29 days by acute respiratory infection (total by year), observing what the method of multiple regression do when the exam of influence and the intensity made by two or more independent variables on a dependent variable. Treating of quantitative analysis model result, stays the space to increase the present research in quantitative analysis and recognizing that the variable components of the model takes direction for the needs as a constant prevention practice and promotion as vectors members of the development infant mortality data.