scholarly journals Global health spending good for U.S. security and economy, National Academies say

Science ◽  
2017 ◽  
Author(s):  
Ryan Cross
The Lancet ◽  
2016 ◽  
Vol 387 (10027) ◽  
pp. 1496-1497
Author(s):  
Jocalyn Clark
Keyword(s):  

2020 ◽  
Vol 12 (6) ◽  
pp. 150-166
Author(s):  
M. B. Jakovljevic ◽  
N. V. Ekkert ◽  
M. S. Mikerova ◽  
V. A. Reshetnikov

The most notable feature of the past five centuries of global economic history dating back from Colonial Age until the present accelerated globalization is the persistence of «North–South» division between the global rich and poor. This ground pattern has been falling apart over the last three decades with the rise of BRICs emerging economies (Brazil, Russia, India, China). The Chinese Belt and Road Initiative fosters further rapid growth and synergy among these large nations. This ambitious and historically unprecedented infrastructural project if successful can lead to a formation by 2049 of a huge common economic zone bringing opportunities for multilateral development to the BRICs. These profound changes have deep implications for the global health care sector. Previous research on health and pharmaceutical spending has clearly documented that low- and middle-income economies (LMICs), led by these emerging markets, have doubled their share in global health spending from roughly 20% up to approximately 40% in purchasing power parity terms. Alongside with these global developments, a decade ago, some of the leading Western academic centers, confirm new era of rising world’s geo-economic and geopolitical multipolarity. The world witnesses this process being accelerated today and seek deeper understanding how it will reflect on long term health and pharmaceutical expenditure trends, particularly in the leading BRICs emerging markets being a front runner of such evolution.The authors declare absence of conflict of interests.


JAMA ◽  
2019 ◽  
Vol 321 (21) ◽  
pp. 2073 ◽  
Author(s):  
Joseph L. Dieleman ◽  
Angela E. Micah ◽  
Christopher J. L. Murray

2021 ◽  
Author(s):  
Mihajlo Jakovljevic ◽  
Demetrios Lamnissos ◽  
Ronny Westerman ◽  
Vijay Kumar Chattu ◽  
Arcadio Cerda

Abstract Introduction: BRICS leading Emerging Markets are increasingly shaping the landscape of global health sector demand and supply for medical goods and services. BRICS’ share of global health spending and future projections will play a prominent role during upcoming 2020s. The purpose of current research was to examine decades long, underlying historical trends in BRICS’ nations health spending and explore these data as the grounds for reliable forecasting of their health expenditures up to 2030.Methods: BRICS’ health spending data spanning 1995 - 2017 were extracted from IHME’s Financing Global Health 2019 database. Total health expenditure, government, prepaid private and out-of-pocket spending per capita and GDP share of total health spending, were forecasted 2018 - 2030. The ARIMA (Autoregressive Integrated Moving Average) models were used to obtain future projection based on time series analysis.Results: Per capita health spending in 2030 is projected to be: Brazil: $1767 (95% PI: 1615, 1977) ; Russia: $1933 (95% PI: 1549, 2317); India: $468 (95% PI: 400.4, 535) ; China: $1707 (95% PI: 1079, 2334); South Africa $1379 (95% PI: 755, 2004). Health spending %GDP shares in 2030 are projected to be: Brazil: 8.4% (95% PI: 7.5, 9.4) ; Russia: 5.2% (95% PI: 4.5, 5.9) ; India: 3.5% (95% PI: 2.9%,4.1%) ; China: 5.9% (95% PI: 4.9, 7.0) ; South Africa: 10.4% (95% PI: 5.5, 15.3).Conclusions: All BRICS expose long term trend to increase their per capita spending in PPP (purchase power parity) terms. India and Russia are highly likely to maintain stable total health spending GDP% share until 2030. China, as the major driver of global economic growth will be capable of significantly expanding its investment into the health sector across an array of indicators. Brazil is the only large nation whose GDP% share of health expenditure is about to contract substantially during the third decade of the 21st century. The steepest curve of increase in per capita spending until 2030 seems to be attributable to India while Russia should achieve the highest values in absolute terms. Health policy implications of long term trends in health spending indicate the need for Health Technology Assessment dissemination among BRICS ministries of health and national health insurance funds. Matters of cost-effective allocation of limited resources shall remain the core challenge in 2030 as well.


2019 ◽  
Vol 35 (S1) ◽  
pp. 28-28
Author(s):  
Daniel Ollendorf ◽  
Brittany D'Cruz ◽  
Joanna Emerson ◽  
Rachel Bacon ◽  
Joshua Cohen ◽  
...  

IntroductionDecision-makers in low- and middle-income countries (LMICs) often must prioritize health spending without quantitative benchmarks for the value of their purchases. The Tufts Global Health Cost-Effectiveness Analysis (GH CEA) Registry (healtheconomicevaluation.org/GHCEARegistry/) is a freely-available, curated and standardized dataset designed to address this need.MethodsAll indexed English-language articles published between 1995 and 2017 are currently included in the GH CEA Registry. Studies are limited to those reporting cost-effectiveness in terms of cost per disability-adjusted life years (DALYs) averted, a commonly-employed metric in global health. Abstracted data include intervention type, comparator(s), country, funding source, study characteristics (e.g., perspective, time horizon), primary study findings, sensitivity analyses, and disaggregated data on costs and DALYs. Study quality is assessed using a numerical scoring system (from 1-7, higher scores indicating better quality) based on accuracy of findings and comprehensive reporting of methods and results.ResultsTo date, 620 articles have been included in the GH CEA Registry. Among LMICs, studies have been conducted primarily in Sub-Saharan Africa (41 percent) or South Asia (34 percent), have focused on communicable diseases (67 percent), and have involved immunization, educational, or pharmaceutical interventions (67 percent). As a priority-setting example, seven percent of interventions from higher-quality studies (ratings of 5 or higher) were reported to be cost-saving (i.e., lower costs and greater DALYs than standard care), two-thirds of which involved primary disease prevention (e.g., immunization, educational or behavioral interventions).ConclusionsThe GH CEA Registry is a new tool for decision-makers in LMICs, particularly those without a formal health technology assessment infrastructure but with a remit for providing access to essential, cost-effective health interventions. New functions are under development, including league tables for priority ranking, a repository for shared models, and tools for enhancing transferability between settings.


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