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- SourceAvailable from: Karen Glazer Peres[Show abstract] [Hide abstract]
ABSTRACT: OBJECTIVE To analyze the variation in the proportion of households living below the poverty line in Brazil and the factors associated with their impoverishment. METHODS Income and expenditure data from the Household Budget Survey, which was conducted in Brazil between 2002-2003 (n = 48,470 households) and 2008-2009 (n = 55,970 households) with a national sample, were analyzed. Two cutoff points were used to define poverty. The first cutoff is a per capita monthly income below R$100.00 in 2002-2003 and R$140.00 in 2008-2009, as recommended by the Bolsa Família Program. The second, which is proposed by the World Bank and is adjusted for purchasing power parity, defines poverty as per capita income below US$2.34 and US$3.54 per day in 2002-2003 and 2008-2009, respectively. Logistic regression was used to identify the sociodemographic factors associated with the impoverishment of households. RESULTS After subtracting health expenditures, there was an increase in households living below the poverty line in Brazil. Using the World Bank poverty line, the increase in 2002-2003 and 2008-2009 was 2.6 percentage points (6.8%) and 2.3 percentage points (11.6%), respectively. Using the Bolsa Família Program poverty line, the increase was 1.6 (11.9%) and 1.3 (17.3%) percentage points, respectively. Expenditure on prescription drugs primarily contributed to the increase in poor households. According to the World Bank poverty line, the factors associated with impoverishment include a worse-off financial situation, a household headed by an individual with low education, the presence of children, and the absence of older adults. Using the Bolsa Família Program poverty line, the factors associated with impoverishment include a worse-off financial situation and the presence of children. CONCLUSIONS Health expenditures play an important role in the impoverishment of segments of the Brazilian population, especially among the most disadvantaged.
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ABSTRACT: This study aimed to investigate spending on medicines by Brazilian families and related income inequalities, according to types of medicines. A cross-sectional study used data from the Family Budget Surveys conducted in 2002-2003 and 2008-2009. Expenditures were corrected according to the Extended National Consumer Price Index (IPCA). The Concentration Index (CI) was calculated as a measure of inequality. Average monthly spending on medicines was BRL 53.54 in the 2002-2003 survey and BRL 59.02 in 2008-2009. CI showed spending concentration in higher-income families. Spending composition varied according to family income. Lower-income families spent predominantly on analgesics, cold medicines, and anti-inflammatory drugs. Higher-income families concentrated their spending on medicines for diabetes and hypertension (and other cardiovascular diseases). From one survey to the next, even though lower-income households reduced the percentage of their budget spent on medicines, the latter still consume a large proportion of their health spending.
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ABSTRACT: Avoidable causes of death have become an important indicator for evaluating health services. Such deaths would not occur if there were adequate prevention, early diagnosis, and treatment and the adoption of appropriate technologies. This article analyzes the pattern and magnitude of avoidable causes of death for the principal causes of death among elderly individuals up to 74 years of age, by gender, in São Paulo State, Brazil. The study further estimated the impact of avoidable causes of death on life expectancy among the elderly, and 62.5% of the deaths among elderly up to 74 years in São Paulo were due to these causes. The principal avoidable causes of death constituted 82.6% of all avoidable deaths, featuring hypertensions and tobacco-associated tumors. Life expectancy at 60 would increase by 20% if these deaths were avoided. Male excess mortality was observed in nearly all of the avoidable causes of death analyzed here, which could be related to greater exposure to risk factors and less use of health services by men. Prevention and health promotion measures should take these sharp gender differences into account.
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