Filter
3297
Text search:
Health
financing
Featured
203
942
Language
3150
97
67
57
29
27
19
17
6
5
4
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Document type
1733
817
239
213
125
63
56
24
12
7
2
2
2
Countries / Regions
288
126
77
77
76
71
68
67
65
64
64
63
62
57
55
53
45
44
44
43
41
36
33
31
27
26
25
24
23
23
22
22
22
22
21
20
19
18
17
17
13
13
12
12
12
12
11
10
10
10
10
10
9
9
8
8
8
8
8
8
8
7
6
6
6
6
6
5
5
5
4
4
4
4
4
4
4
4
3
3
3
3
3
3
3
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Authors & Publishers
408
138
127
123
85
67
57
54
38
27
26
25
23
22
20
20
18
18
18
18
17
16
15
15
14
14
14
14
14
13
13
13
12
12
12
11
11
10
10
10
10
9
9
9
9
9
9
9
9
9
8
8
8
8
8
8
8
8
7
7
7
7
7
7
7
7
7
7
7
7
6
6
6
6
6
6
6
6
6
6
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Publication Years
1133
1963
194
6
1
Category
1376
201
189
132
108
27
13
1
Toolboxes
275
219
215
174
157
142
123
107
77
75
70
57
51
49
46
45
43
40
30
29
19
11
6
5
4
3
1
Cardiovascular diseases, principally ischemic heart disease (IHD), are the most important cause of death and disability in the majority of low- and lower-middle-income countries (LLMICs). In these countries, IHD mortality rates are significantly greater in individuals of a low socioeconomic status (
...
SES).
Three important focus areas for decreasing IHD mortality among those of low SES in LLMICs are (1) acute coronary care; (2) cardiac rehabilitation and secondary prevention; and (3) primary prevention. Greater mortality in low SES patients with acute coronary syndrome is due to lack of awareness of symptoms in patients and primary care physicians, delay in reaching healthcare facilities, non-availability of thrombolysis and coronary revascularization, and the non-affordability of expensive medicines (statins, dual anti-platelets, renin-angiotensin system blockers). Facilities for rapid diagnosis and accessible and affordable long-term care at secondary and tertiary care hospitals for IHD care are needed. A strong focus on the social determinants of health (low education, poverty, working and living conditions), greater healthcare financing, and efficient primary care is required. The quality of primary prevention needs to be improved with initiatives to eliminate tobacco and trans-fats and to reduce the consumption of alcohol, refined carbohydrates, and salt along with the promotion of healthy foods and physical activity. Efficient primary care with a focus on management of blood pressure, lipids and diabetes is needed. Task sharing with community health workers, electronic decision support systems, and use of fixed-dose combinations of blood pressure-lowering drugs and statins can substantially reduce risk factors and potentially lead to large reductions in IHD. Finally, training of physicians, nurses, and health workers in IHD prevention should be strengthened.
more
In 2015, the United Nations set important targets to reduce premature
cardiovascular disease (CVD) deaths by 33% by 2030. Africa disproportionately
bears the brunt of CVD burden and has one of the highest risks of dying
from non-communicable diseases (NCDs) worldwide. There is currently
an epide
...
miological transition on the continent, where NCDs is projected
to outpace communicable diseases within the current decade. Unchecked
increases in CVD risk factors have contributed to the growing burden of three
major CVDs—hypertension, cardiomyopathies, and atherosclerotic diseasesleading to devastating rates of stroke and heart failure. The highest age
standardized disability-adjusted life years (DALYs) due to hypertensive heart
disease (HHD) were recorded in Africa. The contributory causes of heart failure
are changing—whilst HHD and cardiomyopathies still dominate, ischemic
heart disease is rapidly becoming a significant contributor, whilst rheumatic
heart disease (RHD) has shown a gradual decline. In a continent where health
systems are traditionally geared toward addressing communicable diseases,
several gaps exist to adequately meet the growing demand imposed by CVDs.
Among these, high-quality research to inform interventions, underfunded
health systems with high out-of-pocket costs, limited accessibility and
affordability of essential medicines, CVD preventive services, and skill
shortages. Overall, the African continent progress toward a third reduction
in premature mortality come 2030 is lagging behind. More can be done in
the arena of effective policy implementation for risk factor reduction and
CVD prevention, increasing health financing and focusing on strengthening
primary health care services for prevention and treatment of CVDs, whilst
ensuring availability and affordability of quality medicines. Further, investing
in systematic country data collection and research outputs will improve the accuracy of the burden of disease data and inform policy adoption on
interventions. This review summarizes the current CVD burden, important
gaps in cardiovascular medicine in Africa, and further highlights priority
areas where efforts could be intensified in the next decade with potential
to improve the current rate of progress toward achieving a 33% reduction
in CVD mortality.
more
The 2020 Report analyzes global health spending for 190 countries from 2000 to 2018 and provides insights as to the health spending trajectory from the MDG era to the SDG era prior to the crisis of
...
2020. The report shows that global spending on health continually rose between 2000 and 2018 and reached US$ 8.3 trillion or 10% of global GDP. The data also show that out-of-pocket spending has remained high in low and lower-middle income countries, representing greater than 40% of total health spending in 2018. We also report and summarize the data on expenditures for PHC, as well as by disease and intervention, including for immunization. The report also analyzes the available data on budget allocation in response to the COVID-19 crisis. In addition, we combine World Bank/IMF projections of the macroeconomic and fiscal impact of the crisis with an analysis of the historical determinants of health spending patterns and UHC indicators, and based on this, we draw out the likely implications of 2020 for future health spending, highlighting key policy and monitoring concerns.
more
COVID-19 has altered health sector capacity in low-income and middle-income countries (LMICs). Cost data to inform evidence-based priority setting are urgently needed. Consequently, in this paper, we calculate the full economic
...
health sector costs of COVID-19 clinical management in 79 LMICs under different epidemiological scenarios.
more
SDG Costing & Financing for Low-Income Developing Countries
Sachs, J.; G. McCord; N. Maennling et al.
UN Sustainable Development Solutions Network (SDSN)
(2019)
CC
The Sustainable Development Goals (SDGs) call for major societal transformations that will require significant fiscal outlays as well as private investments. The fiscal outlays cover public investments, the public provision of social services, and social protection for vulnerable populations. The ke
...
y message of this paper, building on recent reports by the IMF and SDSN (IMF, 2019b; SDSN, 2018) is that the governments of Low-Income Developing Countries (LIDCs) will require a substantial increase in fiscal (budget) revenues, far beyond what they can achieve by their own fiscal reforms. For this reason, SDG financing will require substantial international cooperation to enable the LIDCs to finance their SDG fiscal outlays. One important source of increased revenues should be the globally coordinated taxation of ultra-high-net worth assets. Today’s ultra-rich should help to pay for the survival and basic needs of the world’s poorest people.
more
Background
Four methods have previously been used to track aid for reproductive, maternal, newborn, and child health (RMNCH). At a meeting of donors and stakeholders in May, 2018, a single, agreed method was requested to produce accurate, predictab
...
le, transparent, and up-to-date estimates that could be used for analyses from both donor and recipient perspectives. Muskoka2 was developed to meet these needs. We describe Muskoka2 and present estimates of levels and trends in aid for RMNCH in 2002–17, with a focus on the latest estimates for 2017.
Methods
Muskoka2 is an automated algorithm that generates disaggregated estimates of aid for reproductive health, maternal and newborn health, and child health at the global, donor, and recipient-country levels. We applied Muskoka2 to the Organisation for Economic Co-operation and Development's Creditor Reporting System (CRS) aid activities database to generate estimates of RMNCH disbursements in 2002–17. The percentage of disbursements that benefit RMNCH was determined using CRS purpose codes for all donors except Gavi, the Vaccine Alliance; the UN Population Fund; and UNICEF; for which fixed percentages of aid were considered to benefit RMNCH. We analysed funding by donor for the 20 largest donors, by recipient-country income group, and by recipient for the 16 countries with the greatest RMNCH need, defined as the countries with the worst levels in 2015 on each of seven health indicators.
Findings
After 3 years of stagnation, reported aid for RMNCH reached $15·9 billion in 2017, the highest amount ever reported. Among donors reporting in both 2016 and 2017, aid increased by 10% ($1·4 billion) to $15·4 billion between 2016 and 2017. Child health received almost half of RMNCH disbursements in 2017 (46%, $7·4 billion), followed by reproductive health (34%, $5·4 billion), and maternal and newborn health (19%, $3·1 billion). The USA ($5·8 billion) and the UK ($1·6 billion) were the largest bilateral donors, disbursing 46% of all RMNCH funding in 2017 (including shares of their core contributions to multilaterals). The Global Fund and Gavi were the largest multilateral donors, disbursing $1·7 billion and $1·5 billion, respectively, for RMNCH from their core budgets. The proportion of aid for RMNCH received by low-income countries increased from 31% in 2002 to 52% in 2017. Nigeria received 7% ($1·1 billion) of all aid for RMNCH in 2017, followed by Ethiopia (6%, $876 million), Kenya (5%, $754 million), and Tanzania (5%, $751 million).
Interpretation
Muskoka2 retains the speed, transparency, and donor buy-in of the G8's previous Muskoka approach and incorporates eight innovations to improve precision. Although aid for RMNCH increased in 2017, low-income and middle-income countries still experience substantial funding gaps and threats to future funding. Maternal and newborn health receives considerably less funding than reproductive health or child health, which is a persistent issue requiring urgent attention.
Funding
Bill & Melinda Gates Foundation; Partnership for Maternal, Newborn & Child Health.
more
This publication discusses official development assistance (ODA) provided by the USA with a focus on health, HIV/AIDS, tuberculosis and malaria. It also reflects upon ODA by the USA in comparison to other donors and funding targets.
With the COVID-19 pandemic and the ensuing energy and cost-of-living crises, many OECD countries have had to face significant economic and societal challenges over the last five years. The succession of crises has had important implications for health
...
systems and the available resources allocated to health. This policy brief examines the recent trends in health spending and discusses what is driving the latest spending trajectory.
more
The Global Health Expenditure Report delves into the intricate landscape of global economies and health systems. This year, it focuses on health sp
...
ending in 2022, the third year of the COVID-19 pandemic. It shows how countries around the world responded to the health and economic shocks of the pandemic from a financial perspective. It also considers what the future may hold as countries emerge from the pandemic. Although it is still too early to gauge whether the COVID-19 pandemic has altered long-term trends in health spending, spending appears to have peaked and is now at or below its long-term rising trend in most country income groups. Additionally, to mark the 25th anniversary of the World Health Organization’s (WHO) Health Expenditure Tracking Program, the report reviews the program’s achievements and envisions a path forward. As the program’s lead technical agency, WHO is committed to working closely with partners to support countries in tracking health spending and sustaining the Global Health Expenditure Database and the Global Health Expenditure Report as global public goods.
more
Overall, harmonisation and innovation should be the
focus of the future direction of DAH and the creation of
a healthy global community. The world needs all hands
on deck if it were to move towards achieving the SDGs,
addressing global health in
...
equalities and improving the
welfare of the global population, while ensuring that no
one is left behind.
more
We investigate whether and to what extent Chinese development finance affects infant mortality, combining 92 demographic and health surveys (DHS) for a maximum of 53 countries and almost 55,000 sub-national locations over the 2002-2014 period. We ad
...
dress causality by instrumenting aid with a set of interacted variables. Variation over
time results from indicators that measure the availability of funding in a given year. Cross-sectional variation results from a sub-national region’s “probability to receive aid.” Controlled for this probability in tandem with fixed effects for country-years and provinces, the interactions of these variables form powerful and excludable instruments. Our results show that Chinese aid increases infant mortality at sub-national scales, but decreases mortality at the countrylevel. In several tests, we show that this stark contrast likely results from aid being fungible within recipient countries.
more
To realize Agenda 2030, aid agencies, private philanthropies, and their partners in the Global South need better data to monitor how official development finance (ODF) dollars advance the Sustainable Development Goals (SDGs) and avoid missing the mark. In this report, we summarize the results of a n
...
ovel effort to tag and analyze 2.7 million ODF projects between 2010-2021 using machine learning to understand their contributions to the SDG thematic areas at a goal
and target level. This time frame is instructive: it compares the last six years of the Millennium Development Goals era and the first six years of the new SDG age, from early optimism to later uncertainty about the resilience of the agenda to drive collective commitments amid unanticipated global shocks.
more
The motivations behind China’s allocation of health aid to Africa remain complex due to limited information on the details of health aid project activities. Insufficient knowledge about the purpos
...
e of China’s health aid hinders our understanding of China’s comprehensive role in supporting Africa’s healthcare system. To address this gap, our study aimed to gain better insights into China’s health aid priorities and the factors driving these priorities across Africa. To achieve this, we utilized AidData’s Chinese Official Finance Dataset and adhered to the Organisation for Economic Co-operation and Development (OECD) guidelines.
more
Strengthening resilient and sustainable systems for health (RSSH) is central to the Global Fund’s strategy, however questions persist about the Global Fund’s role in the health systems strengthe
...
ning space, and the extent to which investments are designed to achieve strengthening objectives, or just fill in gaps in the system. This paper reports on findings from the Prospective Country Evaluations (PCE), a multi-country multi-year evaluation of Global Fund support.
more
The COVID-19 pandemic disrupted health systems in 2020, but it is unclear how financial hardship due to out-of-pocket (OOP) health-care costs was affected. We analysed catastrophic
...
health expenditure (CHE) in 2020 in
five countries with available household expenditure data: Belarus, Mexico, Peru, Russia, and Viet Nam. In Mexico and Peru, we also conducted an analysis of drivers of change in CHE in 2020 using publicly available data.
more
Over the past decade, countries in the African region experienced slow progress in mobilizing resources for health while facing continued challenges. In their revised estimates published in 2017, Stenberg et al., developed two costs scenarios, terme
...
d progress and ambitious, aimed at strengthening comprehensive health service delivery to achieve SDG 3 and universal health coverage in low-income and middle-income countries (Stenberg et al., 2017). Out of the 47 countries in the WHO African region only eight, on average, met the recommended threshold of spending a minimum of US$ 249 per capita on health during the period from 2012 to 2020. In 2020, this achievement was observed in only five countries while the remaining countries spent less than US$ 249 per capita, with health expenditures ranging from US$ 16.4 to US$ 236.6, highlighting significant disparities across the region.
more
One approach to development assistance for health, or health aid, emphasizes the ex ante selection of cost-effective health interventions, an appro
...
ach that began with the World Development Report (1993) on Investing in Health and has since been adopted by the Effective Altruism community. But just how much of health aid is cost-effective? In this paper, we examine projects in the Organisation for Economic Co-operation and Development (OECD) Creditor Reporting System, the standard dataset that measures and characterizes development assistance for health, for the
years 2019 to 2021, and count the number of projects that refer to interventions from a list of highly cost-effective interventions as defined by the Disease Control Priorities Project, third edition. This exploratory quantitative analysis indicates that 61% of projects used a key word/phrase of a costeffective intervention. There were 11.9 interventions mapped per project on average. There is little evidence that donors tailor the set of interventions to country income levels by cost-effectiveness.
Policymakers may benefit from reviewing the full portfolio of interventions covered by domestic and external resources.
more
The relative priority received by issues
in global health agendas is subjected to impressionistic
claims in the absence of objective methods of assessment
of priority. To build an approach for conducting structured
assessments of comparative pri
...
ority health issues receive,
we expand the public arenas model (2021) and offer a
framework for future assessments of health issue priority
in global and national health agendas.
more
When we presented our analysis of Germany’s role in
global health in 2017 at an event in Berlin, Richard
Horton, the Editor-in-Chief of The Lancet, asked only
half-jokingly whether we could expect Germany to finally
shrug off the habitus of th
...
e “reluctant leader” and “step
up”. Back then, the entire team of authors were hesitant
to use the term leadership as a broad label. We decided to
highlight areas where leadership could be observed, but
refrained from using it in the title of our previous study.
7 years later, after a devastating global pandemic, notable
political changes in Germany, and amid a substantially
changed global health landscape, we aim to analyse
Germany’s role in global health once more.
more
This paper presents a bibliometric analysis of the literature on private health aid and official health assistance between 2000 and 2022. It provides an overview of the sites and themes in the liter
...
ature pertaining to development assistance in health, and collates the significant policy recommendations presented therein. Several crucial findings emerge from the bibliometric analysis: 44.2 percent of the 489 papers/articles assessed focused on lower-middle-income countries, while 37.7 percent focused on low-income countries. However, authors affiliated with institutes and organisations from lower-middle- and low-income countries contributed merely 15.5 percent and 11.8 percent, respectively, of the papers assessed. Most (72.7 percent) were written by authors from highmiddle-
and high-income countries. Additionally, despite non-governmental
organisations, philanthropies, and private businesses constituting about 20 percent of development assistance donors, a mere 4 percent of all papers focused on these entities.
more
