This ecological study used data accumulated between 2001 and 2012 hospital admissions of children under five years of age with asthma in 141 municipalities in the Mato Grosso. Hospital data were extracted from the SIH/SUS system, and hospitalisation rates were estimated using the Bayesian inference method. SaTScan software was used for the calculation of the relative risk (RR). Differences in socioeconomic characteristics among municipalities with high and low hospitalization rates were evaluated by nonparametric Wilcoxon-Mann-Whitney test. This test indicates that municipalities with better socioeconomic characteristics have lower hospitalization rates. The analysis of the linear models in the two study periods indicated that the decreasing trend in the number of admissions was 3-fold higher in the 2005-2012 period compared with the 2001-2004 period. In addition, a decrease of 76% in the hospitalisation incidence rate was observed during the 12-year study period; this decrease was more evident from 2005 onward. The municipalities identified as having increased risk of hospitalisation of children with asthma were located in areas subjected to intense burning practices and with low municipal development indices.
Introduction: Asthma is the result of a complex interaction between genetic, environmental and socioeconomic factors. It represents a serious global public health problem. The goal of this study was to identify geographic areas for priority actions in order to control of asthma in children. Method: Ecological study that space-time statistic Scan was used. Non-elective, short-stay (type 1) paid authorizations of hospitalizations were selected according to hospitalizations year and children place of residence. Results: In the two periods of the study, the high risk primary cluster was located in the region of Barra do Bugres (relative risk = 8.17, in the first period, and 10.37, in the second). The number of high-risk clusters increased from 8, in the period 2001-2004, to 9, in 2005-2012; while low-risk clusters decreased from 6, in the initial period, to 4, in the latest. The priority geographic areas for attention and intervention for children with asthma are the region around Barra do Bugres, which remained in the two periods with high risk primary clusters and the southwest border of the State that presented increase of the risk. Furthermore, there was an increase of 87% in the number of high risk counties and a reduction of 28% of the counties of protection. Conclusion: In conclusion, the surroundings areas of Barra do Bugres and Porto Estrela and the east and northeast border of the state are priority for health care, once there was an increased risk of hospitalization of children due to asthma.
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