The world bank,health policy reforms and the poor

Over the years, since the mid-1990s, World Bank-prescribed health policy reforms have successfully introduced market-based private-managed healthcare model in the developing world. This article presents a portrait of the private healthcare model, explores the factors that facilitated the introduction of this model in developing countries and examines the impact of the model on the health rights and health conditions of the poor. It argues that health reforms designed to promote private-managed care in developing countries affect the poor severely and violate their basic health rights, the rights to stay disease-free and lead a healthy life. A host of factors produced by the private-managed care model, most notably reduced social spending on public health, dismantling of public health systems and the ever expansionary grip of private sector health services have effectively diminished the health rights of the poor.     

The impact of governmental structure and expenditures on the quality of life in urban areas

Despite the obvious complementarity in their objectives, public policy and quality of life or social indicators research have been done in mutual isolation. The integration of these streams of research offers policy analysts an alternate method for measuring impacts. Using this approach, the current study focuses on two questions: 1) Are variations in municipal structure related to policy outputs, i.e., municipal expenditures? 2) Are variations in municipal structures and overall targeted municipal expenditures related to the general quality of life in municipalities and the quality of specific services?

The sample for this study includes the central cities of the sixty-five most populated SMSAs in the United States. Pearson Product Moment correlational and crosstabulational techniques were used to examine these relationships. The results indicate that council manager systems tend to spend less than mayor council systems, yet, in some ways, offer a better quality of life. Differences in size and regional location were investigated by factor analysis as possible influences in this regard.