scholarly journals Average annual growth in pharmaceutical and total health expenditure per capita, in real terms, average across OECD countries, 1990 to 2013

2015 ◽  
Keyword(s):  
Health Expenditure ◽  
Oecd Countries ◽  
Annual Growth ◽  
Total Health Expenditure ◽  
Per Capita

EXPENDITURE ON DRUGS

PEDIATRICS ◽  
1978 ◽  
Vol 62 (4) ◽  
pp. 622-622
Keyword(s):  
Health Care ◽  
Health Expenditure ◽  
Health Care Expenditure ◽  
Pharmaceutical Expenditure ◽  
Developed Countries ◽  
Rapid Rate ◽  
Total Health Expenditure ◽  
The Past ◽  
Total Health Care Expenditure ◽  
Per Capita

In developed countries, generally 5% to 8% of GNP is spent on health care; during the past decade, health care expenditure has increased at a more rapid rate than GNP. Expenditure on pharmaceuticals represents 10% to 20% of the total health expenditure. In developing countries, figures vary widely but the pharmaceutical expenditure per capita per year may be below one U.S. dollar and may be as high as 50% of the total health care expenditure....

scholarly journals Haemorrhage of gross domestic product from disability-adjusted-life-years among 15-59 year olds in Kenya

10.3823/2561 ◽  
2018 ◽  
Vol 11 ◽  
Author(s):  
Joses Muthuri Kirigia ◽  
Germano Mwiga Mwabu
Keyword(s):  
Gross Domestic Product ◽  
Health Expenditure ◽  
Communicable Diseases ◽  
Domestic Product ◽  
Disability Adjusted Life Years ◽  
Total Health Expenditure ◽  
Per Capita Gdp ◽  
Disability Adjusted Life ◽  
Life Years ◽  
Per Capita

Background: This article estimates non-health gross domestic product (GDP) losses associated with Disability-Adjusted Life Years (DALY) lost among 15-59 year olds (most productive age bracket) in Kenya in 2015. Methods: This study employs the lost output or human capital approach (HCA) to convert the DALYs lost from all causes into their monetary equivalents. The magnitude economic haemorrhage from each disease was obtained by multiplying the per capita non-health GDP in International Dollars by the total number of DALYs lost in a specific age group (15-29 years, 30-49 years, 50-59 years). Per capita non-health GDP equals per capita GDP minus total health expenditure in 2015. Data on DALYs and per capita total health expenditure were obtained from the World Health Organization and per capita GDP data was from IMF databases. Results: Kenya lost 9,405,184 DALYs among 15-59 years olds in 2015. That DALY loss caused a haemorrhage in GDP of Int$ 29,788,392,419. Approximately 48.6% of the GDP haemorrhage resulted from communicable diseases and nutritional conditions, 37.4% from non-communicable diseases, and 14.0% from injuries. Conclusion: There is need to augment domestic and external investments into national health systems and other systems that meet basic needs (education, food, water, sanitation, shelter) to reduce disease burden. Key words: Non-health GDP, economic haemorrhage, disability-adjusted life year (DALY)

scholarly journals Association between Primary Healthcare and Medical Expenditures in a Context of Hospital-Oriented Healthcare System in China: A National Panel Dataset, 2012–2016

2020 ◽  
Vol 17 (18) ◽  
pp. 6917
Author(s):  
Mengping Zhou ◽  
Jingyi Liao ◽  
Nan Hu ◽  
Li Kuang
Keyword(s):  
Primary Care ◽  
Healthcare System ◽  
Primary Healthcare ◽  
Health Expenditure ◽  
Care Physician ◽  
Medical Expenditures ◽  
Medical Expenditure ◽  
Physician Supply ◽  
Total Health Expenditure ◽  
Per Capita

Total health expenditure in China has grown considerably since a new round of health system reform was enacted in 2009. Researchers have shown that strengthening primary healthcare may be an option for countries to solve the rapid expansion of their medical expenditures. This study was designed to explore the association between the strength of primary healthcare and medical expenditures, in the context of the hospital-oriented healthcare system in China. A longitudinal ecological study was conducted using a 5-year panel dataset of 27 provinces in mainland China. The linear mixed effects regression model was used to assess the effects of primary healthcare-related metrics on medical expenditures, controlling for the provincial level specialty care physician supply and socio-economic parameters. All of the three primary healthcare-related metrics showed negative associations with the two medical expenditure parameters. Primary care physicians per 10,000 population was significantly associated with the per capita hospital medical expenditures (p < 0.05), and the percentage of public health expenditure in total health expenditure was significantly associated with both per capita total medical expenditure and per capita hospital medical expenditures (p < 0.01 for both). Our study found negative associations between the primary healthcare capacity and medical expenditure in the context of hospital-oriented healthcare systems in China, adding to the previous evidence that primary healthcare may play a positive role in reducing medical expenditure. Policies on increasing the primary care physician supply and the public share of total health expenditure should be conducted to strengthen the primary healthcare system. With the gradual advance of medical reform and the policy inclination to primary healthcare, this will play a more important role in controlling the rapid growth of medical expenditure.

scholarly journals Living Longer with Disability: Economic Implications for Healthcare Sustainability

2021 ◽  
Vol 13 (8) ◽  
pp. 4467
Author(s):  
Alessandro Danovi ◽  
Stefano Olgiati ◽  
Alessandro D’Amico
Keyword(s):  
Life Expectancy ◽  
Health Expenditure ◽  
The United States ◽  
The European Union ◽  
Negative Consequences ◽  
Total Health Expenditure ◽  
Economic Implications ◽  
Life Expectancy At Birth ◽  
Per Capita ◽  
Global Increase

This work focuses on the economic implications of the relationship between life expectancy, the number of years lost to disability and per-capita total health expenditure. The primary goal of the paper is to identify and plot the correlation between healthcare expenditure and the global increase in life expectancy, in order to assess if, and how, the way longer average lifespans are achieved affects healthcare sustainability. Datasets regarding the United States, the European Union and the five largest emerging healthcare systems (i.e., Brazil, the Russian Federation, India, China and South Africa) were obtained from the Institute for Health Metrics and Evaluation and the WHO Health Expenditure Statistics Repository. All analysis was performed on 2017 data. The results of the analysis showed the number of years lost to disability to be a linear function of life expectancy at birth (male R2 = 0.61; female R2 = 0.47), and per-capita total health expenditure to be an exponential function of the number of years lost to disability (male R2 = 0.60; female R2 = 0.65). This implies that improving life expectancy via social policies bears negative consequences in terms of healthcare sustainability, unless the number of years lost to disability is reduced too. Further studies should narrow the sample of countries and causes of years lost due to disability, to better inform future policy efforts.

scholarly journals The Indirect Cost of Disability Adjusted Life Years Lost among the Elderly in Kenya

10.3823/2483 ◽  
2017 ◽  
Vol 10 ◽  
Author(s):  
Joses Muthuri Kirigia ◽  
Gitonga N Mburugu ◽  
Guyo Sarr Huka
Keyword(s):  
Indirect Cost ◽  
Health Expenditure ◽  
The Elderly ◽  
Health Condition ◽  
Disability Adjusted Life Years ◽  
Total Health Expenditure ◽  
Productivity Losses ◽  
Disability Adjusted Life ◽  
Life Years ◽  
Per Capita

Background: As Kenya accelerates the momentum to attain the Sustainable Development Goals (SDG) 3 on health and 13 on combatting impacts of climate change, it is critically important not to overlook their impacts on the elderly, i.e. people aged 60 years and above (elderly). The objective of this study was to estimate the indirect cost (productivity losses) of disability-adjusted life years (DALYs) lost among the elderly in Kenya in 2015.Methods: The indirect cost associated with jth disease (or health condition) DALYs lost among the elderly is the product of the per capita non-health GDP in purchasing power parity (PPP) and the total jth disease (or health condition) DALYs lost in a specific age group. Per capita non-health GDP equals Kenya’s per capita GDP minus total health expenditure in 2015. The study covers all the diseases and health conditions reported in WHO Global Health Observatory (GHO). The data on DALYs and per capita total health expenditure were obtained from WHO GHO; while per capita GDP data was from IMF World Economic Outlook database.Results: About 2,238,004 DALYs were lost among the elderly in 2015. That health loss resulted into a total indirect cost of Int$ 7,088,274,986; which was evenly distributed among males and females. Approximately, 64.1% of the indirect cost resulted from non-communicable diseases, 29.3% from communicable and nutritional conditions, and 12.2% from injuries. If Kenya is able to fully achieve SDG targets 3.1 on maternal mortality, 3.3 on communicable diseases, 3.4 on NCDs and 3.6 on road traffic accidents by 2030, that would lead to a reduction of 625,238.21 DALYs (38.4%) lost among the elderly, which is equivalent to a saving of Int$ 1,986,641,742 (44.9%) in indirect costs (productivity losses).Conclusions: Kenya incurs every year substantive productivity losses due to morbidity and premature mortality among the elderly. Therefore, there is need for increased government, private sector and partner investments into health and wellbeing of the elderly to prolong their intrinsic and functional capacities.Key words: Elderly, indirect cost, productivity loss, disability-adjusted life year (DALY)

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