Search

This study developed a method for the construction of hospital markets in a metropolitan area, focusing on users of the Unified Health System (SUS) with hip fractures and admitted to municipal hospitals in Rio de Janeiro in 1994-1995. The study used a spatial smoothing technique based on a Kernel (quartic) estimate for constructing areas of care for each hospital and subsequently for hospital markets. Areas of the city were presented where there was a market domain and a secondary domain for treating patients with hip fractures. Hospital market analysis can help health planners organize resources in the health care system.

Violence is of major importance in the health profile of Brazilian metropolitan areas and should be treated as a public health problem. Spatial analysis methods can be highly useful for the surveillance and prevention of violence. This paper analyzes the spatial distribution of victims' place of residence in relation to the main causes of violent death in Porto Alegre (1996) in order to identify vulnerable areas. For motor vehicle accidents, homicides, and suicide, the victim's place of residence was pinpointed using the municipal Geographic Information System. The point patterns of health events and population density were analyzed using a Kernel smoother, visually compared. Some areas with higher concentration of events are similar to population distribution but differ from each other in the remaining high concentration areas, thus indicating specific micro-areas at risk. Areas of higher homicide risk are mainly located on the periphery of the more urbanized area, with worse socioeconomic conditions. Motor vehicle accidents are concentrated in areas that are simultaneously commercial and residential and are traversed by streets with heavy traffic. Suicide deaths are more evenly distributed over the territory. Identification of risk areas provides meaningful information for developing preventive and health promotion measures focusing on the events for which health policies may play a central role.

Estimation and mapping of risk profiles are the main concerns of epidemiology. This paper analyzes spatial distribution of infant mortality cases as compared to live-born controls from Porto Alegre, Rio Grande do Sul. The modeling framework adopted in this research work is a spatial point process. Under this structure, a risk measure which continuously varies over the study region is defined and estimated using generalized additive model methods. This approach has the advantage of allowing for risk factors that are simple and easy to interpret. The procedure also allows the construction of tolerance contours which help identify areas of significantly high/low risk and an overall test for the null hypothesis of constant risk over the region. Application of this method to infant mortality data showed a highly significant spatial variation in risk for neonatal mortality data and non-significant results for post-neonatal mortality data.

The purpose of this paper is to identify and describe Rio de Janeiro maternity hospital profiles and the route between the mother's place of residence and the hospital. Data sources were: the State Live Birth Information System (1995) and the National Survey on Medical Care (1992). Two groups of maternity hospitals were identified using multivariate cluster analysis. Group A had an extremely high cesarean rate (81%), with mothers and neonates presenting good health conditions. Cesarean rates were lower in Group B, although still high (32%), and other variables reflected worse neonatal conditions. Cesarean rate was the indicator which best discriminated between the groups, followed by proportion of adolescent mothers and mothers with a high school education. The uneven spatial distribution of maternity hospitals, which were concentrated in the richest area of the city, was a factor in the long routes used by women to reach medical care for childbirth.

This study aims to help expand knowledge on Aedes aegypti in Rio de Janeiro, based on spatial analysis of the mosquito's breeding sites in the neighborhood of Ilha do Governador, Rio de Janeiro, from June 1992 to July 1994. Use of spatial analysis techniques is proposed for vector surveillance and control. Information obtained from the number of dwellings per block that were used for the analysis. A smoothing method, a Gaussian Kernel, was used in the spatial distribution analysis. Breaks in National Health Foundation intervention activities were observed between cycles 4 and 5 and 5 and 6, respectively, followed by increases in vector density and vector-positive areas. Permanently positive areas, like slums and a military compound, display the persistence of favorable environmental conditions for oviposition and larval growth, indicating flaws in the vector control program. Although Kernel is an exploratory analytical method involving subjective interpretation, it provides easy and fast visualization of sites subject to different degrees of risk, unaffected by existing political and administrative territorial apportionment.

A sample survey was conducted in three public ambulatory medical care units in Rio de Janeiro in order to show the demographic and nosological aspects of the clientele as well as to evaluate the quality of clinic records. The sample included 2,029 patients registered in the health clinics and 3,980 consultants from October 1, 1990 to September 30, 1991. The diagnoses were coded according to the 9th revision of the International Classification of Dieases. Females accounted for about 60% of the sample, and more than a half were between 15 and 49 years of age. Children under 10 years old made up 28% of the total. About 38% of the patients came from the poor areas of the city: the "favelas". The case files were poorly filled out, frequently lacking useful information. The most frequent cause was classified in the XVIo chapter of the ICD - ill-defined causes, followed by respiratory, infectious, genitourinary and circulatory diseases. External causes predominated in one of the health clinics, which is an emergency service. There was a great demand for preventive measures, such as prenatal care and child care, even at the clinic that was traditionally devoted only to curative medicine. The most frequent specific diagnoses were upper respiratory tract infection, hypertension, gynecological problems, prenatal care, and skin diseases. There were no records for referrals to other health services. The poor quality of the medical records causes problems in terms of quality of health care. Use of such record-keeping systems, even while criticizing them, is essential to improve them.