In 2017, the World Bank and partners created the Global Investment Framework for Nutrition as a roadmap towards achieving the World Health Assembly (WHA) nutrition targets by 2025. The framework estimates that the world needs to mobilize an annual additional investment of $7 billion per year to scal...e-up nutrition-specific interventions at the level needed to achieve the global targets. However, the world is off-track to meet the global targets. And it is unclear whether additional resources will be mobilized for life-saving and cost-effective nutrition-specific interventions, or whether donor support will be enough to meet the annual resource need established by the framework.
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Since 2002 the distribution of external funding to reproductive, maternal, newborn, and child health (RMNCH) has become more equitable and better targeted at the poorest countries and those experiencing the highest mortality. The aid envelope is not large enough or well enough concentrated to close ...gaps in domestic government fund ing between the poorest and middle income countries. Donors and governments of low and middle income countries should increase their investments for RMNCH . Donors should further concentrate their funds on the poorest countries and those with the highest maternal, newborn, and child mortality. Investment is also needed to close serious data and methodological gaps for assessing equity of financing between and within countries
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Background:Tracking aid fl ows helps to hold donors accountable and to compare the allocation of resources in relation to health need. With the use of data reported by donors in 2015, we provided estimates of offi cial development assistance and grants from the Bill & Melinda Gates Foundation (coll...ectively termed ODA+) to reproductive, maternal, newborn, and child health for 2013 and complete trends in reproductive, maternal, newborn, and child health support for the period 2003–13. Methods: We coded and analysed fi nancial disbursements to reproductive, maternal, newborn, and child health to all recipient countries from all donors reporting to the creditor reporting system database for the year 2013. We also revisited disbursement records for the years 2003–08 and coded disbursements relating to reproductive and sexual health activities resulting in the Countdown dataset for 2003–13. We matched this dataset to the 2015 creditor reporting system dataset and coded any unmatched creditor reporting system records. We analysed trends in ODA+ to reproductive, maternal, newborn, and child health for the period 2003–13, trends in donor contributions, disbursements to recipient countries, and targeting to need.
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Background: In 2015, 5.3 million babies died in the third trimester of pregnancy and first month following birth. Progress in reducing neonatal mortality and stillbirth rates has lagged behind the substantial progress in reducing postneonatal and maternal mortality rates. The benefits to prenatal an...d neonatal health (PNH) from maternal and child health investments cannot be assumed. Methods: We analysed donor funding for PNH over the period 2003–2013. We used an exhaustive key term search followed by manual review and classification to identify official development assistance and private grant (ODA+) disbursement records in the Countdown to 2015 ODA+ Database.
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We created a dataset to generate estimates of donor-reported ‘official development assistance’ and private grants (ODA+) to reproductive, maternal, newborn and child health (RMNCH) by donor, recipient country and activity type over the period 2003–2013. We collected disbursement information fr...om the Organisation for Economic Co-operation and Development Creditor Reporting System (CRS) in January 2015. All 2.1 million records across all sectors were coded based on donor name, project title, short and long descriptions, and CRS code describing the purpose of the disbursement. We classified records according to the degree to which they would promote attainment of Millennium Development Goals 4 and 5 (reproductive and sexual health, maternal and newborn health, and child health). We also classified records according to whether they supported prenatal and neonatal health (PNH). The dataset includes project funding as well as allocating shares of general budget support, health sector support and basket funding. The data can be used to analyse resource flows to RMNCH or to other purposes or beneficiaries of ODA+.
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Four initiatives have estimated the value of aid for reproductive, maternal, newborn, and child health
(RMNCH): Countdown to 2015, the Institute for Health Metrics and Evaluation (IHME), the Muskoka Initiative, and
the Organisation for Economic Co-operation and Development (OECD) policy marker. We... aimed to compare the
estimates, trends, and methodologies of these initiatives and make recommendations for future aid tracking.
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Little is known about the patterns of development assistance (DA) for each component of reproductive, maternal, newborn, child and adolescent health (RMNCAH) in conflict-affected countries nor about the DA allocation in relation to the burden of disease
Donor financing to low- and middle-income countries for reproductive, maternal, newborn, and child health increased substantially from 2008 to 2013. However, increased spending by donors might not improve outcomes, if funds are delivered in ways that undermine countries’ public financial managemen...t systems and incur high transaction costs for project implementation
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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-healthspecific multilateral agencies, we estimated DAH and its flows based on the OECD methodology for
calculating imputed multilateral official development assistance (ODA).
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