Tracking Development Assistance for Health: A Comparative Study of the 29 Development Assistance Committee Countries, 2011–2019

Development assistance for health (DAH) is an important part of financing healthcare in low- and middle-income countries. We estimated the gross disbursement of DAH of the 29 Development Assistance Committee (DAC) member countries of the Organisation for Economic Co-operation and Development (OECD) for 2011–2019; and clarified its flows, including aid type, channel, target region, and target health focus area. Data from the OECD iLibrary were used. The DAH definition was based on the OECD sector classification. For core funding to non-health-specific multilateral agencies, we estimated DAH and its flows based on the OECD methodology for calculating imputed multilateral official development assistance (ODA). The total amount of DAH for all countries combined was 18.5 billion USD in 2019, at 17.4 USD per capita, with the 2011–2019 average of 19.7 billion USD. The average share of DAH in ODA for the 29 countries was about 7.9% in 2019. Between 2011 and 2019, most DAC countries allocated approximately 60% of their DAH to primary health care, with the remaining 40% allocated to health system strengthening. We expect that the estimates of this study will help DAC member countries strategize future DAH wisely, efficiently, and effectively while ensuring transparency.

Spillover Effects of HIV Foreign Aid on the Delivery of Maternal and Child Health Services in Nigeria: 2008 – 2018

BackgroundThis study expands the current body of knowledge by investigating the impact of the Global Health Initiatives (GHI) on the Nigerian health system. Using robust multilevel analytic approaches, this study examined system-wide impacts of foreign aid on the Nigerian health system– a country that has witnessed substantial Development Assistance for Health disbursements in the last two decades, yet has one of the worst maternal and child health indices globally. Most of the health aid to Nigeria has been for HIV programs; and has sparked debates among stakeholders. Critics have asserted the possibility that HIV aid might not be working and could have had unintended negative consequences on the delivery of non-HIV services. Others maintained that such prioritized attention to HIV could have had a crowding-out or negative spillover effect on the delivery of other health programs in Nigeria. Thus, the focus of this study is to ascertain the nature of the spillover effect of HIV aid on the delivery of maternal and child health services in NigeriaResultsThis study identified that donor HIV financing to Nigeria increased up to 2012, and decreased steadily afterwards between 2008 – 2018. This was suggested to be linked to PEPFAR priority shift to health systems strengthening in the second round of their funding cycle. This study also identified a negative spillover effect of HIV-specific aid on the delivery of non-HIV services, and is suggested to be attributed to the prioritized attention given to HIV programs by global health systems.ConclusionsStudy findings provide systematic evidence to inform policy on the frameworks for developing a national roadmap for the effective alignment of GHIs’ coordinating mechanisms with national health priorities. Future studies should explore the effects of the Development Assistance for Health among low- and middle-income countries including Nigeria to provide evidence for policy, and substantiate how the growing interests in health systems strengthening is overcoming vertical programs and fostering systemic improvements. Government should identify turnaround strategies to strengthen Nigerian health systems for the Sustainable Development Goals, and formulate policies that improve the effectiveness of GHIs in Nigeria.

Factors associated with the disbursements of development assistance for health in low-income and middle-income countries, 2002–2017

IntroductionIn 2017, development assistance for health (DAH) comprised 5.3% of total health spending in low-income countries. Despite the key role DAH plays in global health-spending, little is known about the characteristics of assistance that may be associated with committed assistance that is actually disbursed. In this analysis, we examine associations between these characteristics and disbursement of committed assistance.MethodsWe extracted data from the Creditor Reporting System of the Organization for Economic Co-operation and Development, Institute for Health Metrics and Evaluation, and the WHO National Health Accounts database. Factors examined were off-budget assistance, administrative assistance, publicly sourced assistance and assistance to health systems strengthening. Recipient-country characteristics examined were perceived level of corruption, civil fragility and gross domestic product per capita (GDPpc). We used linear regression methods for panel of data to assess the proportion of committed aid that was disbursed for a given country-year, for each data source.ResultsFactors that were associated with a higher disbursement rates include off-budget aid (p<0.001), lower administrative expenses (p<0.01), lower perceived corruption in recipient country (p<0.001), lower fragility in recipient country (p<0.05) and higher GDPpc (p<0.05).ConclusionSubstantial gaps remain between commitments and disbursements. Characteristics of assistance (administrative, publicly sourced) and indicators of government transparency and fragility are also important drivers associated with disbursement of DAH. There remains a continued need for better aid flow reporting standards and clarity around aid types for better measurement of DAH.

The relationship between development assistance for health and public health financing in 134 countries between 2000 and 2015

This paper utilizes causal time-series and panel techniques to examine the relationship between development assistance for health (DAH) and domestic health spending, both public and private, in 134 countries between 2000 and 2015. Data on 237 656 donor transactions from the Institute for Health Metrics and Evaluation’s DAH and Health Expenditure datasets are merged with economic, demographic and health data from the World Bank Databank and World Health Organization’s Global Health Observatory. Arellano–Bond system GMM estimation is used to assess the effect of changes in DAH on domestic health spending and health outcomes. Analyses are conducted for the entire health sector and separately for HIV, TB and malaria financing. Results show that DAH had no significant impact on overall domestic public health investment. For HIV-specific investments, a $1 increase in on-budget DAH was associated with a $0.12 increase in government spending for HIV. For the private sector, $1 in DAH is associated with a $0.60 and $0.03 increase in prepaid private spending overall and for malaria, with no significant impact on HIV spending. Results demonstrate that a 1% increase in public financing reduced under-5 mortality by 0.025%, while a 1% increase in DAH had no significant effect on reducing under-5 mortality. The relationships between DAH and public health financing suggest that malaria and HIV-specific crowding-in effects are offset by crowding-out effects in other unobserved health sectors. The results also suggest policies that crowd-in public financing will likely have larger impacts on health outcomes than DAH investments that do not crowd-in public spending.