570.1 Evaluating the combined impact of multi-level public health policies and social policies on the quality of life in Rio de Janeiro

Friday, August 3, 2012: 2:30 PM
Faculty of Economics, TBA
Geraldo MONTEIRO , PhD Program of Political Science and International Relations, IUPERJ, Rio de Janeiro, Brazil
Sylvio CRUZ , PhD Program of Political Science and International Relations, IUPERJ, Rio de Janeiro, Brazil
Adauto SANTOS , PhD Program of Political Science and International Relations, IUPERJ, Rio de Janeiro, Brazil
As a former federal capital, a former city-state and current state capital of Rio de Janeiro, the city of Rio de Janeiro has the peculiarity of pooling, in the same territory, institutions and urban facilities (schools, hospitals, government) of varying administrative dependence, mixing public actions of federal, state and city levels. The policies implemented in the territory of Rio de Janeiro have different origins, objectives and recipients. The aim of this study is to evaluate the impact of public health policies and income distribution, implemented by the three levels of government through analysis, on the one hand, of its key programs in health care (Programa Saúde da Família –PSF (Federal) Programa Unidades de Pronto Atendimento - UPA (state and municipal) and the Programa Clínica da Família (municipal) and, on the other hand, of income distribution (Bolsa Família (federal), and Programa Renda Melhor (state) and Programa Família Carioca (municipal). The impact has been evaluated by considering the values ​​and coverage for each of these programs and the variation in HDI for each of the regions benefited from the programs. HDI seems to us a clear indicator to assess the impact of these programs to the extent that they act directly on the two components of the index (life expectancy and income). Thus, a variation of these values ​​(both HDI General, as unbundled from their indices: Life Expectancy-HDI and HDI-income) associated with the volumes resources and the increased coverage will allow us to support the hypothesis of positive impact in these populations. Monitoring of expenditure and levels of coverage for each of the programs will be spatialized and georeferenced to allow comparison with the variation in the HDI values ​​for these regions. In addition, we evaluate the comparative effectiveness of different programs that they have complementary or overlapping.