Objectives: To identify the amount of development assistance that countries and organizations provided for health and to determine the health areas that received these funds.
In 2015, member states of the United Nations adopted the ambitious Sustainable Development Goals (SDGs), which included 17 global goals that targeted economic and social development.1 Goal 3, “to ensure healthy lives and promote well-being for all at all ages,” targets specifically marked progre...ss in universal health coverage; improved access to safe, effective, and affordable medicines; and the end of the HIV, malaria, and tuberculosis epidemics by 2030. Although these goals can spur innovation, social and political commitment, and a drive to achieve greater health gains for less money, financial support is necessary to achieve them.
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he global architecture for providing development assistance for health (DAH)
has become increasing complex in the last decade, with many new funding agencies entering the health sector.
This study presents a detailed picture of European Union (EU) and EU member state originating DAH
between 2006 ...and 2009; with a sp
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treat TB
Description of Research Outputs, 2009 - 2014
This report addresses the impact of emergency shelter programs in the development of post-relief economies and in building incomes of affected populations. It provides a review and analysis of the available literature relevant to understanding the economic impact of emergency shelter programs, addit...ional research conducted by CHF International on income development of beneficiaries of emergency shelter programs, and the first steps toward rigorous and accurate measurement of the impact of these programs on the incomes of beneficiaries. Each of these analysis provides information useful to future programmers of relief assistance.
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This expansive facilitator's guide deals with psychosocial interventions concerning multiple causes of trauma such as HIV and AIDS and post-conflict situations. The guide offers technical advice to the implementor which is usefully augmented by diagrams, ideas for games and other useful intervention...s
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Background: The amount of resources, particularly prepaid resources, available for health can affect access to health care and health outcomes. Although health spending tends to increase with economic development, tremendous variation exists among health financing systems. Estimates of future spendi...ng can be beneficial for policy makers and planners, and can identify financing gaps. In this study, we estimate future gross domestic product (GDP), all-sector government spending, and health spending disaggregated by source, and we compare expected future spending to potential future spending. Methods: We extracted GDP, government spending in 184 countries from 1980–2015, and health spend data from 1995–2014. We used a series of ensemble models to estimate future GDP, all-sector government spending, development assistance for health, and government, out-of-pocket, and prepaid private health spending through 2040. We used frontier analyses to identify patterns exhibited by the countries that dedicate the most funding to health, and used these frontiers to estimate potential health spending for each low-income or middle-income country. All estimates are inflation and purchasing power adjusted.
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Little is known about foreign aid provided by private donors. This paper contributes to closing this research gap by comparing the allocation of private humanitarian aid to that of official humanitarian aid awarded to 140 recipient countries over the 2000-2016 period. We construct a new database tha...t offers information on the country in which the headquarters of private donors are located to test whether private donors follow the aid allocation pattern of their home country. Our empirical results confirm that private aid “follows the flag.” This finding is robust against the inclusion of various fixed effects, estimating instrumental variables models, and disaggregating private aid into corporate aid and NGO aid. Donor country-specific estimations reveal that private aid from China, Sweden, the United Kingdom, and the United States “follow the flag.”
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Background: Comparable estimates of health spending are crucial for the assessment of health systems and to optimally deploy health resources. The methods used to track health spending continue to evolve, but little is known about the distribution of spending across diseases. We developed improved e...stimates of health spending by source, including development assistance for health, and, for the first time, estimated HIV/AIDS spending on prevention and treatment and by source of funding, for 188 countries.
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Over the past two decades, China has become a distinctive and increasingly important donor of development assistance for health (DAH). However, little is known about what factors influence China’s priority-setting for DAH. In this study, we provide an updated analysis of trends in the priorities o...f Chinese DAH and compare them to comparable trends among OECD Development Assistance Committee (DAC) donors using data from the AidData’s Global Chinese Development Finance Dataset (2000–2017, version 2.0) and the Creditor Reporting System (CRS) database (2000–2017). We also analyse Chinese medical aid exports before and after the start of the COVID-19 pandemic using a Chinese Aid Exports Database.
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An adequate amount of prepaid resources for health is important to ensure access to health services and for the pursuit of universal health coverage. Previous studies on global health financing have described the relationship between economic development and health financing. In this study, we furth...er explore global health financing trends and examine how the sources of funds used, types of services purchased, and development assistance for health disbursed change with economic development. We also identify countries that deviate from the trends.
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