How the U.S. is failing in healthcare:
The historical notes are mine:
Here is the same chart at visualcapitalist.com.. http://www.visualcapitalist.com/u-s-spends-public-money-healthcare-sweden-canada/
Washington Post article that uses this chart:
Is the money we're spending on health care keeping us alive?
On a certain level, that's the big test of any health-care system — and the United States is failing.
According to above chart, U.S. life expectancy continues to lag far behind other developed countries, despite spending way more on medical treatments aimed at keeping us alive.
The chart, courtesy of Oxford economist Max Roser, plots per-capita health-care spending against life expectancy for the world's wealthiest countries over the past 40-plus years. Each country gets one line, which plots its trajectory on those measures over time.
The chart was tweeted by Eric Topol:
Eric Jeffrey Topol is an American cardiologist, geneticist, and digital medicine researcher. Before moving to Scripps in 2006, Topol served as chairman of cardiovascular medicine at Cleveland Clinic and founded the Cleveland Clinic Lerner College of Medicine. Wikipedia
Born: June 26, 1954 (age 64 years), Queens, New York City, NY
Spouse: Susan Merriman Topol (m. 1979)
Education: University of Rochester, University of Virginia, University of Rochester School of Medicine and Dentistry
Fields: Genetics, Cardiology
Organization founded: Cleveland Clinic Lerner College of Medicine
About Our World in Data:
Our World in Data is an online publication that shows how living conditions are changing. The aim is to give a global overview and to show changes over the very long run, so that we can see where we are coming from and where we are today. We need to understand why living conditions improved so that we can seek more of what works.
We cover a wide range of topics across many academic disciplines: Trends in health, food provision, the growth and distribution of incomes, violence, rights, wars, culture, energy use, education, and environmental changes are empirically analyzed and visualized in this web publication. For each topic the quality of the data is discussed and, by pointing the visitor to the sources, this website is also a database of databases. Covering all of these aspects in one resource makes it possible to understand how the observed long-run trends are interlinked.
The project is produced by the Oxford Martin Programme on Global Development at the University of Oxford, and is made available in its entirety as a public good. Visualizations are licensed under CC BY-SA and may be freely adapted for any purpose. Data is available for download in CSV format. Code we write is open-sourced under the MIT license and can be found on GitHub. Feel free to make use of anything you find here!
Another chart from the same site:
This chart shows very clearly where the Silver Tsunami will hit first:
Above charts located here: https://ourworldindata.org/life-expectancy#median-age-by-country
The U.S. has a 50% higher maternal mortality rate than freekin' LIBYA!
Why Single Payer in the U.S. should cost any more tax dollars than the current system:
How quickly can healthcare coverage expand?
As noted above, european countries pioneered the expansion of healthcare systems in the first half of the twentieth century. The following visualization, from the Human Development Report (2014), places the achievements of these countries in perspective. Specifically, the following graph plots healthcare protection coverage for a selection of countries during the period 1920-2010. As we can see, France, Austria and Germany increased healthcare coverage in the years 1920-1960, while Spain, Portugal and Greece did it later, in the years 1960-1980. Interestingly, however, this graph also shows some notable examples of countries that expanded healthcare coverage much later, but much more quickly. In particular, China, Rwanda and Vietnam built health protection systems in the 21st century, almost from scratch, achieving near universal coverage in only a decade. These examples show that healthcare protection can be expanded very quickly, and not only at low baseline levels of coverage. (chart below)
This is obscene -
This is even more obscene, the government spends more and the people spend more:
Above charts located here: https://ourworldindata.org/health-meta
And finally - the source of the chart in question:
Link between health spending and life expectancy: US is an outlier
May 26, 2017 by Max Roser
This post was originally published on August 3, 2016. It was updated on 26 May 2017.
Our World in Data presents the empirical evidence on global development in entries dedicated to specific topics.
This blog post draws on data and research discussed in our entry on how healthcare is financed.
The graph below shows the relationship between what a country spends on health per person and life expectancy in that country between 1970 and 2015 for a number of rich countries.
The US stands out as an outlier: it spends far more on health than any other country, yet the life expectancy of the American population is not longer, but actually shorter than in other countries that spend far less.
If we look at the time trend for each country, we first notice that all countries have followed an upward trajectory—the population lives increasingly long lives as health expenditure increases. But again, the US stands out by following a much flatter trajectory: gains in life expectancy from additional health spending in the U.S. are much smaller than in the other high-income countries, particularly since the mid-1980s.
This development has led to a large inequality between the US and other rich countries. In the US health spending per capita is often more than three times higher than in other rich countries, yet the populations of countries with much lower health spending than the US enjoy considerably longer lives. In the most extreme case, we see that Americans spend more than 5-times what Chileans spend, yet the population of Chile actually lives longer than Americans.
What things looked like in 1970:
What they look like now... how the mighty have fallen...
The updated version of the chart I posted earlier today: https://ourworldindata.org/the-link-between-life-expectancy-and-health-spending-us-focus
III. Main data sources
The World Development Indicators (WDI), published by the World Bank, are the main source of up-to-date cross-country data on life expectancy, child mortality and maternal mortality. Other more specialised data sources are listed and discussed in our entries on Life Expectancy and Child Mortality.
The main source of data on international healthcare expenditure is the World Health Organisation (WHO), more specifically the global health expenditure database. This is the same data published by the World Bank (World Development Indicators) and Gapminder. It is also the source of the health expenditure tables in the World Health Statistics Report and the WHO Global Health Observatory; and it is used as an input to the Development Assistance for Health Database from the IHME.23 You can read more about measurement, data quality and further details about available sources in the last two sections of our entry on Financing Healthcare.
About Max Roser:
Image result for Oxford economist Max Roser,
Max Roser is an economist and media critic. He is known for his research on global trends of living conditions and his visualisations of these trends. He is currently a research fellow in economics at the University of Oxford. Roser was born in Kirchheimbolanden, Germany. Wikipedia
Born: 1983 (age 35 years), Kirchheimbolanden, Germany
Influenced by: Tony Atkinson, Amartya Sen, Steven Pinker, Angus Deaton
Institutions: Nuffield College, Oxford, Oxford Martin School