Filter
1851
Text search:
health
spending
Featured
119
538
Language
1797
37
35
21
20
16
10
6
3
3
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Document type
1091
481
77
62
57
30
20
11
10
6
4
1
1
Countries / Regions
118
68
66
48
47
43
43
40
39
37
37
37
36
35
31
30
29
28
28
24
23
21
20
19
19
15
15
15
13
13
13
13
12
10
10
9
9
9
9
8
8
8
8
8
7
7
6
6
6
5
5
5
5
5
5
4
4
4
4
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
1
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
148
68
63
61
54
49
34
31
20
15
14
14
11
11
11
11
9
9
9
9
8
7
7
7
7
7
7
7
7
7
7
7
6
6
6
6
6
6
6
6
5
5
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
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
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
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
493
1210
146
2
Category
758
103
66
60
49
21
4
1
Toolboxes
169
143
135
123
78
76
75
67
65
43
37
37
34
30
20
17
15
12
7
4
4
3
2
2
India: health system review
Srivastava, Swati, Karan, Anup K., Bhan, Nandita, Mukhopadhya, Indranil. et al.
.World Health Organization (WHO), Regional Office for South-East Asia
(2022)
C_WHO
This report aims to improve the assessment of mental health needs in the Americas by providing an updated and nuanced picture of: (a) the disability resulting from mental, substance use, and specific neurological disorders, plus self-harm, alone and
...
in combination with premature mortality; (b) the imbalance between mental health spending and its related disease burden; and (c) the inadequate allocation of the meager mental health spending by countries of the Region
more
Background: The amount of resources, particularly prepaid resources, available for health can affect access to health care and health outcomes. Alt
...
hough health spending tends to increase with economic development, tremendous variation exists among health financing systems. Estimates of future spending 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.
more
Health Economics Review, 2016 6:7 -Published: 11 February 2016
: Development assistance for health (DAH) is one of the most important means for Japan to promote
diplomacy with developing countries and contribute to the international community. This study, for the first time,
estimated the gross disbursement o
...
f Japan’s DAH from 2012 to 2016 and clarified its flows, including source, aid
type, channel, target region, and target health focus area
more
A general consensus exists that as a country develops economically, health spending per capita rises and the share of that spending that is prepaid
...
through government or private mechanisms also rises. However, the speed and magnitude of these changes vary substantially across countries, even at similar levels of development. In this study, we use past trends and relationships to estimate future health spending, disaggregated by the source of those funds, to identify the financing trajectories that are likely to occur if current policies and trajectories evolve as expected.
Methods
We extracted data from WHO's Health Spending Observatory and the Institute for Health Metrics and Evaluation's Financing Global Health 2015 report. We converted these data to a common purchasing power-adjusted and inflation-adjusted currency. We used a series of ensemble models and observed empirical norms to estimate future government out-of-pocket private prepaid health spending and development assistance for health. We aggregated each country's estimates to generate total health spending from 2013 to 2040 for 184 countries. We compared these estimates with each other and internationally recognised benchmarks.
Findings
Global spending on health is expected to increase from US$7·83 trillion in 2013 to $18·28 (uncertainty interval 14·42–22·24) trillion in 2040 (in 2010 purchasing power parity-adjusted dollars). We expect per-capita health spending to increase annually by 2·7% (1·9–3·4) in high-income countries, 3·4% (2·4–4·2) in upper-middle-income countries, 3·0% (2·3–3·6) in lower-middle-income countries, and 2·4% (1·6–3·1) in low-income countries. Given the gaps in current health spending, these rates provide no evidence of increasing parity in health spending. In 1995 and 2015, low-income countries spent $0·03 for every dollar spent in high-income countries, even after adjusting for purchasing power, and the same is projected for 2040. Most importantly, health spending in many low-income countries is expected to remain low. Estimates suggest that, by 2040, only one (3%) of 34 low-income countries and 36 (37%) of 98 middle-income countries will reach the Chatham House goal of 5% of gross domestic product consisting of government health spending.
Interpretation
Despite remarkable health gains, past health financing trends and relationships suggest that many low-income and lower-middle-income countries will not meet internationally set health spending targets and that spending gaps between low-income and high-income countries are unlikely to narrow unless substantive policy interventions occur. Although gains in health system efficiency can be used to make progress, current trends suggest that meaningful increases in health system resources will require concerted action.
Funding
Bill & Melinda Gates Foundation.
more
Countries must invest at least 1% more of GDP on primary health care to eliminate glaring coverage gaps
At current rates of progress up to 5 billion people will miss out on health care in 2030
C
...
ountries must increase spending on primary healthcare by at least 1% of their gross domestic product (GDP) if the world is to close glaring coverage gaps and meet health targets agreed in 2015, says this new report. They must also intensify efforts to expand services countrywide.
The world will need to double health coverage between now and 2030, according to the Universal Health Coverage Monitoring Report. It warns that if current trends continue, up to 5 billion people will still be unable to access health care in 2030 – the deadline world leaders have set for achieving universal health coverage. Most of those people are poor and already disadvantaged.
more
This thematic brief accompanies the Working for Health 2022–2030 Action Plan, providing a rationale for the related actions of the Working for Health progression model (see Annex). This brief ai
...
ms to inform Member States, non-state actors and other stakeholders vested in implementing the Action Plan to consider the context of planning and financing for the health and care workforce, including the relevant policy landscape, key challenges and future directions.
In doing so, it provides an expanded exploration of the themes beyond what is provided in the Action Plan Itself, and reflects the topical issues and considerations that shaped its design, including those issues identified in the World Health Assembly Resolution WHA74.14 to protect, safeguard and invest in the health and care workforce. The importance of these themes was again emphasized at the Seventy-fifth WHA, when Resolution WHA75.17: Human resources for health, was co-sponsored by over 100 Member States, calling for the adoption and implementation of the Working for Health 2022–2030 Action Plan and utilization of the related Global Health and Care Worker Compact.
more
Background: Achieving universal health coverage (UHC) requires health financing systems that provide prepaid pooled resources for key health servic
...
es without placing undue financial stress on households. Understanding current and future trajectories of health financing is vital for progress towards UHC. We used historical health financing data for 188 countries from 1995 to 2015 to estimate future scenarios of health spending and pooled health spending through to 2040. Methods: We extracted historical data on gross domestic product (GDP) and health spending for 188 countries from 1995 to 2015, and projected annual GDP, development assistance for health, and government, out-of-pocket, and prepaid private health spending from 2015 through to 2040 as a reference scenario. These estimates were generated using an ensemble of models that varied key demographic and socioeconomic determinants. We generated better and worse alternative future scenarios based on the global distribution of historic health spending growth rates. Last, we used stochastic frontier analysis to investigate the association between pooled health resources and UHC index, a measure of a country’s UHC service coverage. Finally, we estimated future UHC performance and the number of people covered under the three future scenarios.
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
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 Muskok
...
a 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.
more
To assess the impact of the COVID-19 pandemic on health and HIV expenditure, UNAIDS carried out a modelling study on fiscal space for health and HIV. From a sample of 28 countries, three countries
...
the Democratic Republic of the Congo, Jamaica, and Lesotho—were selected to capture health and HIV expenditure impacts across countries with especially marked differences in burdens of disease (including HIV prevalence), HIV donor dependency, level of economic development, and geographic location. While the three-country sample is too small to permit findings to be generalized to other countries, these analyses are useful for informing UNAIDS’ work to identify some policy positions to minimize the COVID-19 pandemic’s impact on the HIV response.
more
Background: Sustainable Development Goal (SDG) 3 aims to “ensure healthy lives and promote well-being for all at all ages”. While a substantial effort has been made to quantify progress towards SDG3, less research has focused on tracking spending
...
towards this goal. We used spending estimates to measure progress in financing the priority areas of SDG3, examine the association between outcomes and financing, and identify where resource gains are most needed to achieve the SDG3 indicators for which data are available. Methods: We estimated domestic health spending, disaggregated by source (government, out-of-pocket, and prepaid private) from 1995 to 2017 for 195 countries and territories. For disease-specific health spending, we estimated spending for HIV/AIDS and tuberculosis for 135 low-income and middle-income countries, and malaria in 106 malaria-endemic countries, from 2000 to 2017. We also estimated development assistance for health (DAH) from 1990 to 2019, by source, disbursing development agency, recipient, and health focus area, including DAH for pandemic preparedness. Finally, we estimated future health spending for 195 countries and territories from 2018 until 2030. We report all spending estimates in inflation-adjusted 2019 US$, unless otherwise stated.
more
Despite the considerable improvement in global health, millions of people still lack access to quality health services, including access to effective antimicrobial medicines, or are impoverished as
...
a result of health spending. At the same time, antimicrobial resistance – a consequence of overuse and misuse of antimicrobials – is increasingly a barrier to accessing effective care. The declining effectiveness of antibiotics is driven by multiple factors, many of which can be addressed through well functioning primary health care. However, primary health care has not always had much attention in national health sector responses to
antimicrobial resistance, which often focus on tertiary care, laboratory detection and surveillance. The three pillars of primary health care (community engagement, front-line health services including primary care and essential public health, and multisectoral action on wider health determinants) are central not just to Universal Health Coverage and the Sustainable Development Goals, but also to an effective response to antimicrobial resistance.
more
An adequate amount of prepaid resources for health is important to ensure access to health services and for the pursuit of universal health coverag
...
e. Previous studies on global health financing have described the relationship between economic development and health financing. In this study, we further 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.
more
According to the latest available estimates, more than 1 in 7 adolescents aged 10–19 is estimated to live with a diagnosed mental disorder globally. Almost 46,000 adolescents die from suicide each year, among the top five causes of death for their age group. Meanwhile, wide gaps persist between me
...
ntal health needs and mental health funding. The report finds that about 2 per cent of government health budgets are allocated to mental health spending globally.
The full report , excecutive summary, brief reports are available in English, French, Spanish and Arabic athttps://www.unicef.org/reports/state-worlds-children-2021?utm_source=referral&utm_medium=media&utm_campaign=sowc-web
more
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 i
...
mprove outcomes, if funds are delivered in ways that undermine countries’ public financial management systems and incur high transaction costs for project implementation
more
