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27,950 result(s) for "HEALTH CARE FINANCING"
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Challenges of education scenarios in primary care in the light of the Previne Brasil neoselectivity
Primary Health Care (PHC) is considered a privileged space for the inclusion of students in the Unified Health System (UHS), which is most desirable the pedagogical scenario for the health course graduate education profile. However, its new financing model induces a neoselectivity that may mischaracterize UHS principles in primary care. This study is a qualitative meta-synthesis to understand the challenges of teaching practice scenarios in PHC, identified in the research, in order to discuss them in light of the limits imposed by the neoselectivity, induced by the Previne Brasil Program (Prevent Brazil Program). A search was conducted on the Virtual Health Library (VHL) portal. The search strategy was designed using the following keywords: ‘practice scenarios in higher education’ (object), ‘challenges’ (qualifier) and ‘PHC’ (amplitude/limit). The selection of publications was carried out using the PRISMA protocol by two independent reviewers, and data analysis was performed in the thematic modality. The quality analysis of the articles was based on the CASP protocol and the internal validation of the excerpts was done by a third evaluator. From the 17 articles included in the review, it was possible to extract 5 analytical dimensions of the scenarios' challenges, which are related to: ‘care’, ‘teaching’, ‘management’, ‘health professionals' attitude’, ‘community attitude’. All dimensions presented several sub-themes, except for 'community attitude'. Given the existing challenges, the neoselectivity induced in PHC tends to intensify most of the problems. It is assumed that the impacts on PHC settings may, in the future, place it as a non-viable practice scenario.
Determinants of prepaid systems of healthcare financing: a worldwide country-level perspective
In this paper we examine determinants of prepaid modes of health care financing in a worldwide cross-country perspective. We use three different indicators to capture the role of prepaid modes in health care financing: (i) the share of total prepaid financing as percent of total current health expenditures, (ii) the share of voluntary prepaid financing as percent of total prepaid financing, and (iii) the share of compulsory health insurance as percent of total compulsory prepaid financing. In the econometric analysis, we refer to a panel data set comprising 154 countries and covering the time period 2000-2015. We apply a static as well as a dynamic panel data model. We find that the current structure of prepaid financing is significantly determined by its different forms in the past. The significant influence of GDP per capita, governmental revenues, the agricultural value added, development assistance for health, degree of urbanization and regulatory quality varies depending on the financing structure we look at. The share of the elderly and the education level are only of minor importance for explaining the variation in a country's share of prepaid health care financing. The importance of the mentioned variables as determinants for prepaid health care financing also varies depending on the countries' socio-economic development. From our analysis we conclude that more detailed information on indicators which reflect the distribution of individual characteristics (such as income, family size and structure and health risks) within a country's population would be needed to gain deeper insight into the decisive determinants for prepaid health care financing.
Global Health Development Assistance Remained Steady In 2013 But Did Not Align With Recipients’ Disease Burden
Tracking development assistance for health for low- and middle-income countries gives policy makers information about spending patterns and potential improvements in resource allocation. The authors tracked the flows of development assistance and explored the relationship between national income, disease burden, and assistance. The authors estimated that development assistance for health reached US$31.3 billion in 2013. Increased assistance from the Global Fund to Fight AIDS, Tuberculosis, and Malaria; the GAVI Alliance; and bilateral agencies in the UK helped raise funding to the highest level to date. The largest portion of health assistance targeted HIV/AIDS (25%); 20% targeted maternal, newborn, and child health. Disease burden and economic development were significantly associated with development assistance for health, but many countries received considerably more or less aid than these indicators predicted. Five countries received more than five times their expected amount of health aid, and seven others received less than one-fifth their expected funding. The lack of alignment between disease burden, income, and funding reveals the potential for improvement in resource allocation.
Equity of health care financing in South Korea: 1990–2016
Background The National Health Insurance in Korea has been in operation for more than 30 years since having achieved universal health coverage in 1989 and has gone through several policy reforms. Despite its achievements, the Korean health insurance has some shortfalls, one of which concerns the fairness of paying for health care. Method Using the population representative Household Income and Expenditure Survey data in Korea, this study examined the yearly changes in the vertical equity of paying for health care between 1990 and 2016 by the source of financing using the Kakwani index, considering health insurance and other related policy reforms in Korea during this period. Results The study results suggest that direct tax was the most progressive mode of health care financing in all years, whereas indirect tax was proportional. The out-of-pocket payments were weakly regressive in all years. The Kakwani index for health insurance contributions was regressive but now is proportional to the ability to pay, whereas the Kakwani index for private health insurance premiums turned from progressive to weakly regressive. The Kakwani index for overall health care financing showed a weak regressivity during the study period. Discussion The overall health care financing in Korea has transformed from a slight regressivity to proportional over time between 1990 and 2016. It is expected that these changes were closely related to the improved equity of health insurance contributions from 1998 to 2008, which was the result of a merger of the health insurance societies and an amendment in the health insurance contribution structure. These results suggest that standardizing insurance managing organizations and financing rules potentially has positive implications for the equity of healthcare financing in a country where the major method of health care financing is social health insurance.
Progressivity of health care financing and incidence of service benefits in Ghana
The National Health Insurance (NHI) scheme was introduced in Ghana in 2004 as a pro-poor financing strategy aimed at removing financial barriers to health care and protecting all citizens from catastrophic health expenditures, which currently arise due to user fees and other direct payments. A comprehensive assessment of the financing and benefit incidence of health services in Ghana was undertaken. These analyses drew on secondary data from the Ghana Living Standards Survey (2005/2006) and from an additional household survey which collected data in 2008 in six districts covering the three main ecological zones of Ghana. Findings show that Ghana's health care financing system is progressive, driven largely by the progressivity of taxes. The national health insurance levy (which is part of VAT) is mildly progressive while NHI contributions by the informal sector are regressive. The distribution of total benefits from both public and private health services is pro-rich. However, public sector district-level hospital inpatient care is pro-poor and benefits of primary-level health care services are relatively evenly distributed. For Ghana to attain an equitable health system and fully achieve universal coverage, it must ensure that the poor, most of whom are not currently covered by the NHI, are financially protected, and it must address the many access barriers to health care.
Effect of Community-Based Health Insurance on Utilization of Outpatient Health Care Services in Southern Ethiopia: A Comparative Cross-Sectional Study
Community-based health insurance schemes are becoming increasingly recognized as a potential strategy to achieve universal health coverage in developing countries. Despite great efforts to improve accessibility to modern health-care services in the past two decades, in Ethiopia, utilization of health-care services have remained very low. Given the financial barriers of the poor households and lack of sustainable health-care financing mechanisms in the country has been recognized to be major factors, the country has implemented community-based health insurance in piloted regions of Ethiopia aiming to improve utilization of health-care services by removing financial barriers. However, there is a dearth of literature regarding the effect of the implemented insurance scheme on the utilization of health-care services. To analyze the effects of a community-based health insurance scheme on the utilization of health-care services in Yirgalem town, southern Ethiopia. The study used both a quantitative and qualitative mixed approach using a comparative cross-sectional study design for a quantitative part using a randomly selected sample of 405 (135 member and 270 non-member) household heads. To complement the findings from the household survey, focus group discussions were used. Multivariate logistic regression was employed to identify the effect of community-based health insurance on health-care utilization. The study reveals that community-based health insurance member households were about three times more likely to utilize outpatient care than their non-member counterparts [AOR: 2931; 95% CI (1.039, 7.929); p-value=0.042]. Community-based health insurance is an effective tool to increase utilization of health-care services and provide the scheme to member households.
Impact of results-based financing on effective obstetric care coverage: evidence from a quasi-experimental study in Malawi
Background Results-based financing (RBF) describes health system approaches addressing both service quality and use. Effective coverage is a metric measuring progress towards universal health coverage (UHC). Although considered a means towards achieving UHC in settings with weak health financing modalities, the impact of RBF on effective coverage has not been explicitly studied. Methods Malawi introduced the Results-Based Financing For Maternal and Neonatal Health (RBF4MNH) Initiative in 2013 to improve quality of maternal and newborn health services at emergency obstetric care facilities. Using a quasi-experimental design, we examined the impact of the RBF4MNH on both crude and effective coverage of pregnant women across four districts during the two years following implementation. Results There was no effect on crude coverage. With a larger proportion of women in intervention areas receiving more effective care over time, the overall net increase in effective coverage was 7.1%-points ( p  = 0.07). The strongest impact on effective coverage (31.0%-point increase, p  = 0.02) occurred only at lower cut-off level (60% of maximum score) of obstetric care effectiveness. Design-specific and wider health system factors likely limited the program’s potential to produce stronger effects. Conclusion The RBF4MNH improved effective coverage of pregnant women and seems to be a promising reform approach towards reaching UHC. Given the short study period, the full potential of the current RBF scheme has likely not yet been reached.
The progressivity of health-care financing in Kenya
Background Health-care financing should be equitable. In many developing countries such as Kenya, changes to health-care financing systems are being implemented as a means of providing equitable access to health care with the aim of attaining universal coverage. Vertical equity means that people of dissimilar ability to pay make dissimilar levels of contribution to the health-care financing system. Vertical equity can be analysed by measuring progressivity. Objectives The aim of this study was to analyse progressivity by measuring deviations from proportionality in the relationship between sources of health-care financing and ability to pay using Kakwani indices applied to data from the Kenya Household Health Utilisation and Expenditure Survey 2007. Methods Concentration indices and Kakwani indices were obtained for the sources of healthcare financing: direct and indirect taxes, out of pocket (OOP) payments, private insurance contributions and contributions to the National Hospital Insurance Fund. The bootstrap method was used to analyse the sensitivity of the Kakwani index to changes in the equivalence scale or the use of an alternative measure of ability to pay. Results The overall health-care financing system was regressive. Out of pocket payments were regressive with all other payments being proportional. Direct taxes, indirect taxes and private insurance premiums were sensitive to the use of income as an alternative measure of ability to pay. However, the overall finding of a regressive health-care system remained. Conclusion Reforms to the Kenyan health-care financing system are required to reduce dependence on out of pocket payments. The bootstrap method can be used in determining the sensitivity of the Kakwani index to various assumptions made in the analysis. Further analyses are required to determine the equity of health-care utilization and the effect of proposed reforms on overall equity of the Kenyan health-care system.
Health Care Financing Systems and Their Effectiveness: An Empirical Study of OECD Countries
Background: The primary aim of the research in the present study was to determine the effectiveness of health care in classifying health care financing systems from a sample of OECD (Organisation for Economic Co-operation and Development) countries (2012–2017). This objective was achieved through several stages of analysis, which aimed to assess the relations between and relation diversity in selected variables, determining the effectiveness of health care and the health expenditure of health care financing systems. The greatest emphasis was placed on the differences between health care financing systems that were due to the impact of health expenditure on selected health outputs, such as life expectancy at birth, perceived health status, the health care index, deaths from acute myocardial infarction and diabetes mellitus. Methods: Methods such as descriptive analysis, effect analysis (η2), binomial logistic regression analysis, linear regression analysis, continuity analysis (ρ) and correspondence analysis, were used to meet the above objectives. Results: Based on several stages of statistical processing, it was found that there are deviations in several of the relations between different health care funding systems in terms of their predisposition to certain areas of health outcomes. Thus, where one system proves ineffective (or its effectiveness is questionable), another system (or systems) appears to be effective. From a correspondence analysis that compared the funding system and other outputs (converted to quartiles), it was found that a national health system, covering the country as a whole, and multiple insurance funds or companies would be more effective systems. Conclusions: Based on the findings, it was concluded that, in analyzing issues related to health care and its effectiveness, it is appropriate to take into account the funding system (at least to verify the significance of how research premises affect the systems); otherwise, the results may be distorted.