22 research outputs found

    Effectiveness of community health financing in meeting the cost of illness.

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    How to finance and provide health care for the more than 1.3 billion rural poor and informal sector workers in low- and middle-income countries is one of the greatest challenges facing the international development community. This article presents the main findings from an extensive survey of the literature of community financing arrangements, and selected experiences from the Asia and Africa regions. Most community financing schemes have evolved in the context of severe economic constraints, political instability, and lack of good governance. Micro-level household data analysis indicates that community financing improves access by rural and informal sector workers to needed heath care and provides them with some financial protection against the cost of illness. Macro-level cross-country analysis gives empirical support to the hypothesis that risk-sharing in health financing matters in terms of its impact on both the level and distribution of health, financial fairness and responsiveness indicators. The background research done for this article points to five key policies available to governments to improve the effectiveness and sustainability of existing community financing schemes. This includes: (a) increased and well-targeted subsidies to pay for the premiums of low-income populations; (b) insurance to protect against expenditure fluctuations and re-insurance to enlarge the effective size of small risk pools; (c) effective prevention and case management techniques to limit expenditure fluctuations; (d) technical support to strengthen the management capacity of local schemes; and (e) establishment and strengthening of links with the formal financing and provider networks

    The P-Loop Domain of Yeast Clp1 Mediates Interactions Between CF IA and CPF Factors in Pre-mRNA 3′ End Formation

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    Cleavage factor IA (CF IA), cleavage and polyadenylation factor (CPF), constitute major protein complexes required for pre-mRNA 3′ end formation in yeast. The Clp1 protein associates with Pcf11, Rna15 and Rna14 in CF IA but its functional role remained unclear. Clp1 carries an evolutionarily conserved P-loop motif that was previously shown to bind ATP. Interestingly, human and archaean Clp1 homologues, but not the yeast protein, carry 5′ RNA kinase activity. We show that depletion of Clp1 in yeast promoted defective 3′ end formation and RNA polymerase II termination; however, cells expressing Clp1 with mutant P-loops displayed only minor defects in gene expression. Similarly, purified and reconstituted mutant CF IA factors that interfered with ATP binding complemented CF IA depleted extracts in coupled in vitro transcription/3′ end processing reactions. We found that Clp1 was required to assemble recombinant CF IA and that certain P-loop mutants failed to interact with the CF IA subunit Pcf11. In contrast, mutations in Clp1 enhanced binding to the 3′ endonuclease Ysh1 that is a component of CPF. Our results support a structural role for the Clp1 P-loop motif. ATP binding by Clp1 likely contributes to CF IA formation and cross-factor interactions during the dynamic process of 3′ end formation

    An inquiry into good hospital governance: A New Zealand-Czech comparison

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    BACKGROUND: This paper contributes to research in health systems literature by examining the role of health boards in hospital governance. Health care ranks among the largest public sectors in OECD countries. Efficient governance of hospitals requires the responsible and effective use of funds, professional management and competent governing structures. In this study hospital governance practice in two health care systems – Czech Republic and New Zealand – is compared and contrasted. These countries were chosen as both, even though they are geographically distant, have a universal right to 'free' health care provided by the state and each has experienced periods of political change and ensuing economic restructuring. Ongoing change has provided the impetus for policy reform in their public hospital governance systems. METHODS: Two comparative case studies are presented. They define key similarities and differences between the two countries' health care systems. Each public hospital governance system is critically analysed and discussed in light of D W Taylor's nine principles of 'good governance'. RESULTS: While some similarities were found to exist, the key difference between the two countries is that while many forms of 'ad hoc' hospital governance exist in Czech hospitals, public hospitals in New Zealand are governed in a 'collegiate' way by elected District Health Boards. These findings are discussed in relation to each of the suggested nine principles utilized by Taylor. CONCLUSION: This comparative case analysis demonstrates that although the New Zealand and Czech Republic health systems appear to show a large degree of convergence, their approaches to public hospital governance differ on several counts. Some of the principles of 'good governance' existed in the Czech hospitals and many were practiced in New Zealand. It would appear that the governance styles have evolved from particular historical circumstances to meet each country's specific requirements. Whether or not current practice could be improved by paying closer attention to theoretical models of 'good governance' is debatable

    Global marketplace for private health insurance: strength in numbers

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    The role of the World Bank in international health: renewed commitment and partnership

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    During the course of the past ten years, the World Bank has become the single largest external financier of health activities in low and middle income countries and an important voice in national and international debates on health policy. This article highlights the Bank's new strategic direction in the health sector aimed at: improving health, nutrition, and population outcomes of the poor; enhancing the performance of health care systems; and securing sustainable health care financing. Millions of preventable deaths and treatable illnesses, together with health systems that are inefficient, inequitable and ineffective, have motivated expanded Bank support for the health sector in many of its client countries. The new policy directions and system-wide reforms observed in these countries are the result of both demand and supply factors. It is part of a general shift in the Bank's approach to development assistance, which sees systemic reform as a way to improve the impact and sustainability of investments in health. On the demand side, the Bank is trying to adapt to ongoing political, technological, economic, demographic, epidemiological and social pressures. On the supply side, the Bank's growing international experience and substantial financial resources are used to complement the development assistance provided by other organizations and the global effort to improve health and health systems in low and middle income countries.World Bank Health policy Health system reform International health Human development

    Private health insurance in developing countries

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    A joint Wharton School–World Bank conference called attention to the high proportions of medical care spending paid out of pocket in most developing countries. One of the reasons for this, attendees said, is the problem in such economies of generating high tax revenues in a nondistortive way. Since people are paying out of pocket, they should be able to afford some private insurance that can spread the risk of above-average out-of-pocket payments. The potential efficiency gains from greater use of voluntary private insurance seem large, but there are a number of possible impediments to the emergence of such insurance

    Effectiveness of community health financing in meeting the cost of illness

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    How to finance and provide health care for the more than 1.3 billion rural poor and informal sector workers in low- and middle-income countries is one of the greatest challenges facing the international development community. This article presents the main findings from an extensive survey of the literature of community financing arrangements, and selected experiences from the Asia and Africa regions. Most community financing schemes have evolved in the context of severe economic constraints, political instability, and lack of good governance. Micro-level household data analysis indicates that community financing improves access by rural and informal sector workers to needed heath care and provides them with some financial protection against the cost of illness. Macro-level cross-country analysis gives empirical support to the hypothesis that risk-sharing in health financing matters in terms of its impact on both the level and distribution of health, financial fairness and responsiveness indicators. The background research done for this article points to five key policies available to governments to improve the effectiveness and sustainability of existing community financing schemes. This includes: (a) increased and well-targeted subsidies to pay for the premiums of low-income populations; (b) insurance to protect against expenditure fluctuations and re-insurance to enlarge the effective size of small risk pools; (c) effective prevention and case management techniques to limit expenditure fluctuations; (d) technical support to strengthen the management capacity of local schemes; and (e) establishment and strengthening of links with the formal financing and provider networks

    Health Care Expenditures Associated With Pollution: Exploratory Methods and Findings

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    BackgroundThe research done for this paper is part of the background analysis undertaken to support the work of the Global Commission on Pollution, Health and Development, an initiative of The Lancet, the Global Alliance on Health and Pollution, and the Icahn School of Medicine at Mount Sinai. The paper expands on areas where the current literature has gaps in knowledge related to the health care cost of pollution. Objectives. This study aims to generate an initial estimate of total tangible health care expenditure attributable to man-made pollution affecting air, soil and water.MethodsWe use two methodologies to establish an upper and lower bounds for pollution related health expenditure. Key data points in both models include (a) burden-of-disease (BoD) at the national level in different countries attributable to pollution; and (b) the total cost of health care at the national level in different countries using standard national health accounts expenditure data.FindingsDepending on which determinist model we apply, annual expenditures range from US630billion(upperbound)toUS630 billion (upper bound) to US240 billion (lower bound) or approximately three to nine percent of global spending on health care in 2013 (the reference year for the analysis). Although only 14 percent of global total for pollution related health care spending is in lower- and middle-income countries (LMICs) in our primary (lower bound) model, the relative share of spending for pollution related illness is substantial, especially in very low-income countries. Cancer, chronic respiratory and cardio/cerebrovascular illnesses account for the largest health care spending items linked to pollution even in LMICs.ConclusionsThese conditions have historically received less attention by national governments, international public health organizations and development/financial agencies than infectious disease and maternal/child health sectors. Other studies posit that intangible costs associated with environmental pollution include lower productivity and reduced income – components which our models do not attempt to capture. The financial and health impacts are substantial even when we exclude intangible costs, yet it is likely that in many LMICs poor households simply forgo medical treatment and lose household income as a result of man-made environmental degradation.RecommendationsWhen evaluating the value of public health or environmental programs which prevent or limit pollution-related illness, policy makers should consider the health benefits, the tangible cost offsets (estimated in our models) and the opportunity costs
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