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INCLUSIVE GROWTH AND HEALTH
SBO-Health meeting
4-5 February 2016
Chris James, Marion Devaux,
Cedric Marechal, Franco Sassi
• Health and the inclusive growth agenda
• Macro-level impact of socioeconomic and
other factors on population health
• From aggregate effects to a social gradient
2
Inclusive Growth and Health
1.19 1.46
0.03* (OOP)
-0.05* (OOP)
0.36
2.39
0.65
0.86
0.16
-0.76
0.42
0.07* (pollution)
0.48
-0.61
-2
-1
0
1
2
3
4
5
OECD Non-OECD
Yearsoflife
Residual
Air pollution
Alcohol
Smoking
GDP
OOP
Health expenditure
4
Importance of health spending to life expectancy in
OECD countries, and income in non-OECD countries
Contribution of factors to changes in life expectancy from 2000 to 2013
* Indicates variable did not have a statistically significant effect
5
There are large health inequalities in many
OECD countries
0
5
10
15
20 CzechRep
Estonia
Hungary
Poland
Slovenia
OECD
SlovakRep
Israel
Finland
Denmark
Mexico
Norway
Netherlands
Portugal
Sweden
Italy
Turkey
Numberofyears
Difference in life expectancy by education
Women Men
• The nature of income trajectories matters
• Unemployment worsens mental and physical
health; working conditions also important
• Education encourages more healthy behaviours
• Low-income households are more likely to
experience inadequate living environment
Importance of a whole-of-government approach
+ need private sector involvement
6
Unpacking the mechanisms by which
socioeconomic factors affect health is crucial
7
Conclusions and next steps
Inclusive
growth
policies
Health care
policies HEALTH
Next steps of analysis
• Develop policy implications
• Refine econometric modelling
• Outline health impacts on income and employment
Contact: Chris.James@oecd.org
Read more about our work Follow us on Twitter: @OECD_Social
Website: www.oecd.org/health
Newsletter: http://www.oecd.org/health/update
Thank you
ADDITIONAL SLIDES ON
ECONOMETRIC RESULTS
9
Variable OECD
countries
Non-OECD
countries
Income(GDP per capita net of health spending) + 0.28% + 0.46%
Health expenditure(per capita) + 0.33% + 0.15%
Out-of-pocket payments(% of THE) - 0.04% Not sig
Daily Smokers(% adult population) - 0.31% - 0.68%
Alcohol (litres per capita) - 0.29% - 0.39%
Air pollution(PM2.5 particulates per m3) - 0.27% + 0.44%
Sanitation facilities (% pop with access) Not sig Not sig
10
Health spending, income, lifestyle and the
environment all associated with life expectancy
Effect of 10%↑ of different factors on life expectancy. 41 countries, 2000-13
• Strong impact of education
• Unusual results for unemployment and obesity
• Greater long-term effects of environmental factors
and income
• Smaller contribution of health spending, though still
important
11
Extended analysis: main findings

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Inclusive Growth and Health

  • 1. INCLUSIVE GROWTH AND HEALTH SBO-Health meeting 4-5 February 2016 Chris James, Marion Devaux, Cedric Marechal, Franco Sassi
  • 2. • Health and the inclusive growth agenda • Macro-level impact of socioeconomic and other factors on population health • From aggregate effects to a social gradient 2 Inclusive Growth and Health
  • 3.
  • 4. 1.19 1.46 0.03* (OOP) -0.05* (OOP) 0.36 2.39 0.65 0.86 0.16 -0.76 0.42 0.07* (pollution) 0.48 -0.61 -2 -1 0 1 2 3 4 5 OECD Non-OECD Yearsoflife Residual Air pollution Alcohol Smoking GDP OOP Health expenditure 4 Importance of health spending to life expectancy in OECD countries, and income in non-OECD countries Contribution of factors to changes in life expectancy from 2000 to 2013 * Indicates variable did not have a statistically significant effect
  • 5. 5 There are large health inequalities in many OECD countries 0 5 10 15 20 CzechRep Estonia Hungary Poland Slovenia OECD SlovakRep Israel Finland Denmark Mexico Norway Netherlands Portugal Sweden Italy Turkey Numberofyears Difference in life expectancy by education Women Men
  • 6. • The nature of income trajectories matters • Unemployment worsens mental and physical health; working conditions also important • Education encourages more healthy behaviours • Low-income households are more likely to experience inadequate living environment Importance of a whole-of-government approach + need private sector involvement 6 Unpacking the mechanisms by which socioeconomic factors affect health is crucial
  • 7. 7 Conclusions and next steps Inclusive growth policies Health care policies HEALTH Next steps of analysis • Develop policy implications • Refine econometric modelling • Outline health impacts on income and employment
  • 8. Contact: Chris.James@oecd.org Read more about our work Follow us on Twitter: @OECD_Social Website: www.oecd.org/health Newsletter: http://www.oecd.org/health/update Thank you
  • 10. Variable OECD countries Non-OECD countries Income(GDP per capita net of health spending) + 0.28% + 0.46% Health expenditure(per capita) + 0.33% + 0.15% Out-of-pocket payments(% of THE) - 0.04% Not sig Daily Smokers(% adult population) - 0.31% - 0.68% Alcohol (litres per capita) - 0.29% - 0.39% Air pollution(PM2.5 particulates per m3) - 0.27% + 0.44% Sanitation facilities (% pop with access) Not sig Not sig 10 Health spending, income, lifestyle and the environment all associated with life expectancy Effect of 10%↑ of different factors on life expectancy. 41 countries, 2000-13
  • 11. • Strong impact of education • Unusual results for unemployment and obesity • Greater long-term effects of environmental factors and income • Smaller contribution of health spending, though still important 11 Extended analysis: main findings