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Socioeconomic Determinants (socioeconomic + determinant)
Selected AbstractsAssessing horizontal equity in medication treatment among elderly Mexicans: which socioeconomic determinants matter most?HEALTH ECONOMICS, Issue 10 2008Jürgen Maurer Abstract Many low- and middle-income countries are currently undergoing a dramatic epidemiological transition, with an increasing disease burden due to degenerative noncommunicable diseases. Inexpensive medication treatment often represents a cost-effective means to prevent, control or cure many of these health conditions. Using micro-data from the 2001 Mexican Health and Aging Study, we assess horizontal inequity in medication treatment among older Mexicans before the introduction of Popular Health Insurance in Mexico. In doing so, we investigate the role of various dimensions of socioeconomic status for obtaining indicated medication treatment within a comparatively fragmented health-care system that features relatively high out-of-pocket expenditures. Our empirical analysis suggests health insurance coverage as a key socioeconomic determinant of indicated medication use with large and statistically significant positive effects on take-up. The effects of insurance status thereby clearly dominate any other possible effects of socioeconomic status on medication treatment. Our results thus highlight the importance of access to reliable health care and comprehensive coverage for rational medication use in the management of degenerative diseases. In light of this evidence, we expect that recent Mexican health-care reforms, which expand health insurance coverage to the previously uninsured population, will alleviate socioeconomic gradients in medication treatment among older people in need. Copyright © 2007 John Wiley & Sons, Ltd. [source] Educational Federalism in Germany: Foundations of Social Inequality in EducationGOVERNANCE, Issue 1 2009MARKUS FREITAG This article applies Fuzzy Set Qualitative Comparative Analysis to examine how sub-national education systems affect the extent of social inequality in education within the German federal states. Variations in educational outcomes between the federal states can be primarily attributed to the strict educational decentralization in Germany. We examine four conditions of regional education systems presumed to be relevant for the extent of social inequality in education: the availability of early childhood education, the development of all-day schools, the onset of tracking to different school types, and the degree of tripartition in secondary education. Altogether, we find systematic relationships between the variation of sub-national education systems and the extent of social inequality in education. The results indicate that well-developed early childhood education is necessary for a low degree of educational inequality. However, educational inequality is not directly related to partisan and socioeconomic determinants. [source] Assessing horizontal equity in medication treatment among elderly Mexicans: which socioeconomic determinants matter most?HEALTH ECONOMICS, Issue 10 2008Jürgen Maurer Abstract Many low- and middle-income countries are currently undergoing a dramatic epidemiological transition, with an increasing disease burden due to degenerative noncommunicable diseases. Inexpensive medication treatment often represents a cost-effective means to prevent, control or cure many of these health conditions. Using micro-data from the 2001 Mexican Health and Aging Study, we assess horizontal inequity in medication treatment among older Mexicans before the introduction of Popular Health Insurance in Mexico. In doing so, we investigate the role of various dimensions of socioeconomic status for obtaining indicated medication treatment within a comparatively fragmented health-care system that features relatively high out-of-pocket expenditures. Our empirical analysis suggests health insurance coverage as a key socioeconomic determinant of indicated medication use with large and statistically significant positive effects on take-up. The effects of insurance status thereby clearly dominate any other possible effects of socioeconomic status on medication treatment. Our results thus highlight the importance of access to reliable health care and comprehensive coverage for rational medication use in the management of degenerative diseases. In light of this evidence, we expect that recent Mexican health-care reforms, which expand health insurance coverage to the previously uninsured population, will alleviate socioeconomic gradients in medication treatment among older people in need. Copyright © 2007 John Wiley & Sons, Ltd. [source] Geo-additive models of childhood undernutrition in three sub-Saharan African countriesPOPULATION, SPACE AND PLACE (PREVIOUSLY:-INT JOURNAL OF POPULATION GEOGRAPHY), Issue 5 2009Ngianga-Bakwin Kandala Abstract We investigate the geographical and socioeconomic determinants of childhood undernutrition in Malawi, Tanzania and Zambia, three neighbouring countries in southern Africa, using the 1992 Demographic and Health Surveys. In particular, we estimate models of undernutrition jointly for the three countries to explore regional patterns of undernutrition that transcend boundaries, while allowing for country-specific interactions. We use geo-additive regression models to flexibly model the effects of selected socioeconomic covariates and spatial effects. Inference is fully Bayesian based on recent Markov chain Monte Carlo techniques. While the socioeconomic determinants generally confirm findings from the literature, we find distinct residual spatial patterns that are not explained by the socioeconomic determinants. In particular, there appears to be a belt transcending boundaries and running from southern Tanzania to northeastern Zambia which exhibits much worse undernutrition. These findings have important implications for planning, as well as in the search for left-out variables that might account for these residual spatial patterns. Copyright © 2009 John Wiley & Sons, Ltd. [source] |