5 resultados para public policy analysis

em Biblioteca Digital da Produção Intelectual da Universidade de São Paulo


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Background: Infant mortality is an important measure of human development, related to the level of welfare of a society. In order to inform public policy, various studies have tried to identify the factors that influence, at an aggregated level, infant mortality. The objective of this paper is to analyze the regional pattern of infant mortality in Brazil, evaluating the effect of infrastructure, socio-economic, and demographic variables to understand its distribution across the country. Methods: Regressions including socio-economic and living conditions variables are conducted in a structure of panel data. More specifically, a spatial panel data model with fixed effects and a spatial error autocorrelation structure is used to help to solve spatial dependence problems. The use of a spatial modeling approach takes into account the potential presence of spillovers between neighboring spatial units. The spatial units considered are Minimum Comparable Areas, defined to provide a consistent definition across Census years. Data are drawn from the 1980, 1991 and 2000 Census of Brazil, and from data collected by the Ministry of Health (DATASUS). In order to identify the influence of health care infrastructure, variables related to the number of public and private hospitals are included. Results: The results indicate that the panel model with spatial effects provides the best fit to the data. The analysis confirms that the provision of health care infrastructure and social policy measures (e. g. improving education attainment) are linked to reduced rates of infant mortality. An original finding concerns the role of spatial effects in the analysis of IMR. Spillover effects associated with health infrastructure and water and sanitation facilities imply that there are regional benefits beyond the unit of analysis. Conclusions: A spatial modeling approach is important to produce reliable estimates in the analysis of panel IMR data. Substantively, this paper contributes to our understanding of the physical and social factors that influence IMR in the case of a developing country.

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OBJECTIVE: To analyze the costs of human immunodeficiency virus (HIV) outpatient treatment for individuals with different CD4 cell counts in the Brazilian public health system, and to compare to costs in other national health systems. METHODS: A retrospective survey was conducted in five public outpatient clinics of the Brazilian national HIV program in the city of São Paulo. Data on healthcare services provided for a period of one year of HIV outpatient treatment were gathered from randomly selected medical records. Prices of inputs used were obtained through market research and public sector databases. Information on costs of HIV outpatient treatment in other national health systems were gathered from the literature. Annual costs of HIV outpatient treatment from each country were converted into 2010 U.S. dollars. RESULTS: Annual cost of HIV outpatient treatment for the Brazilian national public program was US$ 2,572.92 in 2006 in São Paulo, ranging from US$ 1,726.19 for patients with CD4 cell count > 500 to US$ 3,693.28 for patients with 51 < CD4 cell count < 200. Antiretrovirals (ARVs) represented approximately 62.0% of annual HIV outpatient costs. Comparing among different health systems during the same period, HIV outpatient treatment presented higher costs in countries where HIV treatment is provided by the private sector. CONCLUSION: The main cost drivers of HIV outpatient treatment in different health systems were: ARVs, other medications, health professional services, and diagnostic exams. Nevertheless, the magnitude of cost drivers varied among HIV outpatient treatment programs due to health system efficiency. The data presented may be a valuable tool for public policy evaluation of HIV treatment programs worldwide.

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The adoption of principles of equality and universality stipulated in legislation for the sanitation sector requires discussions on innovation. The existing model was able to meet sanitary demands, but was unable to attend all areas causing disparities in vulnerable areas. The universal implementation of sanitation requires identification of the know-how that promotes it and analysis of the model adopted today to establish a new method. Analysis of how different viewpoints on the restructuring process is necessary for the definition of public policy, especially in health, and understanding its complexities and importance in confirming social practices and organizational designs. These are discussed to contribute to universal implementation of sanitation in urban areas by means of a review of the literature and practices in the industry. By way of conclusion, it is considered that accepting a particular concept or idea in sanitation means choosing some effective interventions in the network and on the lives of individual users, and implies a redefinition of the space in which it exercises control and management of sewerage networks, such that connected users are perceived as groups with different interests.

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This study presents the strategies for prevention and early detection of oral cancer by means of screening in the elderly population of São Paulo, the richest and the most populous state of Brazil. This research was a retrospective longitudinal study based on the analysis of secondary data. The variables - number of participating cities, coverage of screening, and number of suspicious and confirmed cases of oral cancer - were divided into two periods: 2001-2004 and 2005-2008. Data were analyzed statistically by the chi-square test at 5% significance level. The implementation of a nationwide public oral health policy in 2004 and the reorganization of the secondary and tertiary health care were evaluated as mediator factors able to interfere in the achieved outcomes. From 2001 to 2008, 2,229,273 oral examinations were performed. There was an addition of 205 participating cities by the end of the studied period (p<0.0001). The coverage of oral cancer screening increased from 4.1% to 16% (p<0.0001). There was a decrease in the number of suspicious lesions (from 9% in 2005 to 5% in 2008) (p<0.0001) and in the rate of confirmed oral cancer cases per 100,000 examinations (from 20.89 in 2001 to 10.40 in 2008) (p<0.0001). After 8 years of screening, there was a decrease in the number of suspicious lesions and confirmed cases of oral cancer in the population. The reorganization of secondary and tertiary health care levels of oral care seems to have contributed to modify these numbers, having a positive impact on the outcomes of oral cancer screening in the São Paulo State.

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Os princípios e as diretrizes do Sistema Único de Saúde (SUS) impõem uma estrutura de assistência baseada em redes de políticas públicas que, combinada ao modelo de financiamento adotado, conduz a falhas de mercado. Isso impõe barreiras à gestão do sistema público de saúde e à concretização dos objetivos do SUS. As características institucionais e a heterogeneidade dos atores, aliadas à existência de diferentes redes de atenção à saúde, geram complexidade analítica no estudo da dinâmica global da rede do SUS. Há limitações ao emprego de métodos quantitativos baseados em análise estática com dados retrospectivos do sistema público de saúde. Assim, propõe-se a abordagem do SUS como sistema complexo, a partir da utilização de metodologia quantitativa inovadora baseada em simulação computacional. O presente artigo buscou analisar desafios e potencialidades na utilização de modelagem com autômatos celulares combinada com modelagem baseada em agentes para simulação da evolução da rede de serviços do SUS. Tal abordagem deve permitir melhor compreensão da organização, heterogeneidade e dinâmica estrutural da rede de serviços do SUS e possibilitar minimização dos efeitos das falhas de mercado no sistema de saúde brasileiro.