This checklist is for any organization or person supporting the routine use of evidence in
the process of policy-making. Evidence-informed policy-making (EIPM) is essential for achieving the Sustainable Development Goals (SDGs) and universal health coverage (UHC). Its importance is emphasized in WH
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O’s Thirteenth General Programme of
Work 2019–2023 (GPW13). This checklist was developed by the WHO Secretariat of Evidence-Informed Policy Network (EVIPNet) to assist its Member countries in institutionalizing EIPM. Government agencies (i.e. the staff of the Ministry of Health),
knowledge intermediaries and researchers focused on strengthening EIPM will find in this checklist some key steps and tools to help their work. While the health sector is a key target group for EVIPNet, this tool can be applied by stakeholders from
different social sectors
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The 2021 Global monitoring report on financial protection in health shows that before the COVID-19 pandemic, the world was off-track to reduce financial hardship due to health expenditures because trends in catastrophic health spending were going in the wrong direction and the number of people incur
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ring impoverishing health spending remained unacceptably high (Chapter 1). Chapter 2 summarizes emerging evidence on the consequence of the pandemic and the related macroeconomic and fiscal crisis that points to the likely worsening of financial protection for households, particularly as a result of declining income and consumption, along with rising poverty and inequality
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I examine the effectiveness of donors in targeting the highest burden of malaria in the Democratic Republic of Congo when health information structure is fragmented. I exploit local variations in the burden of malaria induced by mining activities as well as financial and epidemiological data from he
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alth facilities to estimate how local aid is matching local health needs. Using a regression discontinuity design, I find significant but quantitatively small variations in aid to health facilities located within mining areas. Comparing local aid with the additional cost of treatment and prevention associated with the increased risk of malaria transmission, I find suggestive evidence that local populations with the highest burden of the disease receive a proportionately lower share of aid compared to neighbouring areas with reduced exposure to malaria infection. The evidence of disparities in the allocation of aid for malaria supports the view that donors may have inaccurate information about local population needs.
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We combine data on Chinese development projects with data from Demographic and Health Surveys to study the impact of Chinese aid on household welfare in sub-Saharan Africa. We use a novel methodology to test the effect of Chinese aid on three important development outcomes: education, health, and nu
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trition. For each outcome, we use difference-in-difference estimations to compare household areas near Chinese project sites to control areas located farther away, before and after receiving Chinese aid. This empirical strategy rules out many confounding factors that can bias measuring the impact of Chinese aid on our outcome variables. First, we find that Chinese projects significantly improve education and child mortality in treatment areas, but do not significantly affect nutrition. Second, social sector projects have a larger effect on outcomes than economic projects. Third, we do not find significant effects for projects that ended more than five years before the post-treatment survey wave. Our results are robust to a host of robustness checks.
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Ending the epidemics of HIV, tuberculosis and malaria by 2030 is within reach, but not yet fully in our grasp.
With only 11 years left, we have no time to waste. We must step up the fight now.
As the Group of Eight (G8) world leaders meet in Saint Petersburg, Russia for this year’s G8 Summit, it is important to take stock of international efforts to finance the response to the global HIV/AIDS epidemic. Financing a sufficient and sustained response to the epidemic has emerged as one of t
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he world’s greatest challenges, and one that will be with us for the foreseeable future. Often, those countries most affected are also least able to respond, increasing their vulnerability to HIV/AIDS and in turn further complicating their ability to address the epidemic, as is the case for many nations in sub-Saharan Africa. In addition, concerns have been raised about “second wave” nations, particularly China, India, and Russia, which stand on the brink of generalized epidemics if more is not done now
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Air pollution is a major environmental risk factor and contributor to chronic, noncommunicable diseases (NCDs). However, most public health approaches to NCD prevention focus on behavioural and biomedical risk factors, rather than environmental risk factors such as air pollution. This article discus
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ses the implications of such a focus. It then outlines the opportunities for those in public health and environmental science to work together across three key areas to address air pollution, NCDs and climate change: (a) acknowledging the shared drivers, including corporate determinants; (b) taking a ‘co-benefits’ approach to NCD prevention; and (c) expanding prevention research and evaluation methods through investing in systems thinking and intersectoral, cross-disciplinary collaborations.
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Aerosol pollutants are known to raise the risk of development of non-communicable respiratory diseases (NCRDs) such as asthma, chronic bronchitis, chronic obstructive pulmonary disease, and allergic rhinitis. Sub-Saharan Africa’s rapid pace of urbanization, economic expansion, and population growt
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h raise concerns of increasing incidence of NCRDs. This research characterizes the state of research on pollution and NCRDs in the 46 countries of Sub-Saharan Africa (SSA). This research systematically reviewed the literature on studies of asthma; chronic bronchitis; allergic rhinitis; and air pollutants such as particulate matter, ozone, NOx, and sulfuric oxide.
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