ASSESSING ALCOHOL POLICY
IN AN INTERNATIONAL CONTEXT
Marion DEVAUX, Health Policy Analyst, OECD
RARHA Expert Meeting, Helsinki, 17 February 2016
• OECD report “Tackling Harmful
Alcohol Use”, May 2015
• OECD health working papers
No. 79 and 80
• «Social disparities in hazardous
alcohol use: self-report bias may
lead to incorrect estimates »,
Devaux M and Sassi F, Eur J Pub
H, 2015
OECD recent work on Alcohol
Overall, Alcohol Consumption Has
Slightly Declined in Europe
5,0
7,5
10,0
12,5
15,0
17,5
20,0
1980 1985 1990 1995 2000 2005 2010
Litresofpurealcoholpercapita,15+
Finland France Sweden Germany Italy Ireland Belgium OECD-Europe
Source: OECD Health Statistics database, 2015
20%
30%
40%
50%
60%
70%
80%
2001-02 2005-06 2009-10
Shareofpeopleaged15orlessin
OECD
Time (years)
People are Initiating Drinking and Get
Drunk at Younger Ages
Age of first drink ≤15
Age of first drunkenness ≤15
Boys
Girls
Girls
Boys
Source: OECD estimates based on HBSC data
Heavy episodic drinking has
increased in young women
0%
2%
4%
6%
8%
10%
12%
14%
16%
1995 2000 2005 2010
New Zealand
Germany Canada
Italy*
France
Finland*
Japan*
Australia
US
10%
15%
20%
25%
30%
35%
40%
1995 2000 2005 2010
England
Ireland
HED at least once a month in Japan and once a year in Italy; crude weighted rates in Finland (age-standardised elsewhere)
Women aged 18-24
5
Source: OECD estimates on national survey data.
Highly educated women more likely to
drink hazardously, while inverted in men
ProbabilityofHazardousDrinking
0%
5%
10%
15%
20%
25%
Low education Medium education High education
0%
5%
10%
15%
20%
25%
Women
Selected European countries
Men
Source: Tackling Harmful Alcohol Use, OECD, 2015; OECD estimates based on national survey data
0%
25%
50%
75%
100%
Shareoftotalalcohol
20% of Population Drinking the Most
Consumes the Largest Share of Alcohol
Source: Tackling Harmful Alcohol Use, OECD, 2015; OECD estimates based on national survey data
66%
Survey-based Estimates and Sales Data
Differ Widely
8
205 195 200
239
222
197
169
191
63
36
82
34
60
38
71 70
0
50
100
150
200
250
Grams of pure alcohol per week, per capita
Recorded + unrecorded consumption Survey-based consumption
* Survey-based data refer to England only.
Source: Devaux and Sassi, Eur J Pub H, 2015
Correcting for Self-Report Bias in Drinking
• Triangulation of self-reported survey data with
aggregate WHO data (Rehm et al. 2009)
 To shift the distribution of alcohol consumption to
the aggregate data average .
• Assume the same degree of bias for all
population groups, although differences may
exist across SES groups or categories of drinkers.
9
Correcting for Self-Reporting Leads to
Higher Porportion of Hazardous Drinkers
10
21%
5%
16%
9%
12% 13%
37%
41%
30%
47%
42%
36%
0%
10%
20%
30%
40%
50%
England
2002
France 2008-
2010
Germany
2009
Hungary
2009
Ireland 2007 Spain 2006
% hazardous drinkers in total male population
Survey-based estimates Corrected estimates
Source: OECD estimates based on survey data.
What Policy-Makers Need to Know
• Does a policy improve health?
• Does it reduce health expenditure?
• Does it reduce health inequalities?
• Is it cost-effective?
• When will desired effects show up?
The CDP-Alcohol Model
Abstainer Drinker
Quantity
Pattern
Drinks per week
(continuous)
Regular drinker
Binge drinker
Dependent drinker
Source: Tackling Harmful Alcohol Use, OECD, 2015
Entry
• Birth
• Inward
migration
Population
• Gender
• Age
• Drinking
status
Diseases and
injuries
• Incidence
• Prevalence
• Remission
• Fatality
• Risk
Exit
• Death
• Outward
migration
Included Alcohol-related Conditions
Average
volume
Pattern of
drinking
Breast
cancer
Mouth and
pharynx ca
Liver
cancer
Oesophag
us cancer
Cirrhosis
of the liver
Epilepsy
Stroke
IHD
Injuries
AUDs
Age
Gender
Socioeconomic
status
Source: Tackling Harmful Alcohol Use, OECD, 2015
Alcohol Policy Options Assessed
Price
policies
Regulation /
enforcement
Education Health care
All
consumption
Tax
increase
Regulation
advertising
Heavy use /
dependence
Minimum
pricing
School-based
programmes
Brief
Intervention
Drug /
psychosocial
therapy
Workplace
programmes
Injuries
Drink drive
enforcement
Limit
opening
hours
Source: Tackling Harmful Alcohol Use, OECD, 2015
No effect on drinking modelled for drink-driving enforcement and limit opening hours
Source: OECD, 2015
Prevention Decreases Dependency and
Harmful and Binge Drinking, Germany
-12%
-10%
-8%
-6%
-4%
-2%
0%
main analysis further analysis
Decreaseinprevalence
Hazardous/harmful drinkers Heavy episodic drinkers Dependent drinkers
Prevention Saves Lives and Keeps
in Good Health, Germany
**
**
**
**
**
**
**
**
**
**
**
**
**
**
**
**
**
ns
0 25 000 50 000 75 000 100 000 125 000 150 000
Brief interventions
Tax increase
Advertising regulation
Opening hours regulation
Drink-drive restrictions
Treatment of dependence
Minimum price
Worksite interventions
School-based programmes
DALYs Life Years
Source: Tackling Harmful Alcohol Use, OECD, 2015
Many Interventions Are Cost-
Saving, Germany
-600
-400
-200
0
200
400
600
800
main analysis further analysis
Yearlycost(millionUSDPPPs)
Intervention costs Health expenditure
Source: Tackling Harmful Alcohol Use, OECD, 2015
Preventing Alcohol Consumption is an
Efficient Investment
Further analyses as dotted lines
0
10 000
20 000
30 000
40 000
50 000
60 000
70 000
80 000
5 10 15 20 25 30 35 40
CEratio(USDPPP/DALY)
Time (years)
Brief interventions Drink-drive restrictions
Treatment of dependence Worksite interventions
Cost-saving interventions
Minimum price
School-based programmes
Opening hours regulation
Tax increase
Advertising regulation (7 years)
Source: Tackling Harmful Alcohol Use, OECD, 2015
Key Policy Implications
• Alcohol consumption is decreasing, overall, but with
social & geographical disparities and a rise in binge
drinking in some groups
• Brief interventions and price and regulation policies
provide large health gains
• Alcohol policies produce significant reductions in
health care expenditure. Many interventions are cost
saving
• All policies become cost-effective soon after
implementation
International Alcohol Policy Model
(RAND/OECD/WHO)
• New project funded by NIH for 2015-2019
• 3 types of policy:
Price
Drink driving enforcement
Health care policy
• 8 countries: USA, Canada, Mexico, Chile,
UK, Finland, Russia + France
• Modelling, Evaluation, Diffusion
Contact: Marion.Devaux@oecd.org
Read more about our work Follow us on Twitter: @OECD_Social
Website: http://www.oecd.org/health/health-systems/economics-of-
prevention.htm
Newsletter: http://www.oecd.org/health/update
Thank you
This presentation was produced for a meeting organized within Joint Action
on Reducing Alcohol Related Harm (RARHA) which has received funding
from the European Union, in the framework of the Health Programme (2008-
2013).
The content of this presentation represents the views of the author/s and it
is their sole responsibility; it can in no way be taken to reflect the views of
the European Commission or of the Consumers, Health, Agriculture and
Food Executive Agency or any other body of the European Union. The
European Commission and the Executive Agency do not accept
responsibility for any use that may be made of the information it contains.

Assessing alcohol policy in an international context

  • 1.
    ASSESSING ALCOHOL POLICY INAN INTERNATIONAL CONTEXT Marion DEVAUX, Health Policy Analyst, OECD RARHA Expert Meeting, Helsinki, 17 February 2016
  • 2.
    • OECD report“Tackling Harmful Alcohol Use”, May 2015 • OECD health working papers No. 79 and 80 • «Social disparities in hazardous alcohol use: self-report bias may lead to incorrect estimates », Devaux M and Sassi F, Eur J Pub H, 2015 OECD recent work on Alcohol
  • 3.
    Overall, Alcohol ConsumptionHas Slightly Declined in Europe 5,0 7,5 10,0 12,5 15,0 17,5 20,0 1980 1985 1990 1995 2000 2005 2010 Litresofpurealcoholpercapita,15+ Finland France Sweden Germany Italy Ireland Belgium OECD-Europe Source: OECD Health Statistics database, 2015
  • 4.
    20% 30% 40% 50% 60% 70% 80% 2001-02 2005-06 2009-10 Shareofpeopleaged15orlessin OECD Time(years) People are Initiating Drinking and Get Drunk at Younger Ages Age of first drink ≤15 Age of first drunkenness ≤15 Boys Girls Girls Boys Source: OECD estimates based on HBSC data
  • 5.
    Heavy episodic drinkinghas increased in young women 0% 2% 4% 6% 8% 10% 12% 14% 16% 1995 2000 2005 2010 New Zealand Germany Canada Italy* France Finland* Japan* Australia US 10% 15% 20% 25% 30% 35% 40% 1995 2000 2005 2010 England Ireland HED at least once a month in Japan and once a year in Italy; crude weighted rates in Finland (age-standardised elsewhere) Women aged 18-24 5 Source: OECD estimates on national survey data.
  • 6.
    Highly educated womenmore likely to drink hazardously, while inverted in men ProbabilityofHazardousDrinking 0% 5% 10% 15% 20% 25% Low education Medium education High education 0% 5% 10% 15% 20% 25% Women Selected European countries Men Source: Tackling Harmful Alcohol Use, OECD, 2015; OECD estimates based on national survey data
  • 7.
    0% 25% 50% 75% 100% Shareoftotalalcohol 20% of PopulationDrinking the Most Consumes the Largest Share of Alcohol Source: Tackling Harmful Alcohol Use, OECD, 2015; OECD estimates based on national survey data 66%
  • 8.
    Survey-based Estimates andSales Data Differ Widely 8 205 195 200 239 222 197 169 191 63 36 82 34 60 38 71 70 0 50 100 150 200 250 Grams of pure alcohol per week, per capita Recorded + unrecorded consumption Survey-based consumption * Survey-based data refer to England only. Source: Devaux and Sassi, Eur J Pub H, 2015
  • 9.
    Correcting for Self-ReportBias in Drinking • Triangulation of self-reported survey data with aggregate WHO data (Rehm et al. 2009)  To shift the distribution of alcohol consumption to the aggregate data average . • Assume the same degree of bias for all population groups, although differences may exist across SES groups or categories of drinkers. 9
  • 10.
    Correcting for Self-ReportingLeads to Higher Porportion of Hazardous Drinkers 10 21% 5% 16% 9% 12% 13% 37% 41% 30% 47% 42% 36% 0% 10% 20% 30% 40% 50% England 2002 France 2008- 2010 Germany 2009 Hungary 2009 Ireland 2007 Spain 2006 % hazardous drinkers in total male population Survey-based estimates Corrected estimates Source: OECD estimates based on survey data.
  • 11.
    What Policy-Makers Needto Know • Does a policy improve health? • Does it reduce health expenditure? • Does it reduce health inequalities? • Is it cost-effective? • When will desired effects show up?
  • 12.
    The CDP-Alcohol Model AbstainerDrinker Quantity Pattern Drinks per week (continuous) Regular drinker Binge drinker Dependent drinker Source: Tackling Harmful Alcohol Use, OECD, 2015 Entry • Birth • Inward migration Population • Gender • Age • Drinking status Diseases and injuries • Incidence • Prevalence • Remission • Fatality • Risk Exit • Death • Outward migration
  • 13.
    Included Alcohol-related Conditions Average volume Patternof drinking Breast cancer Mouth and pharynx ca Liver cancer Oesophag us cancer Cirrhosis of the liver Epilepsy Stroke IHD Injuries AUDs Age Gender Socioeconomic status Source: Tackling Harmful Alcohol Use, OECD, 2015
  • 14.
    Alcohol Policy OptionsAssessed Price policies Regulation / enforcement Education Health care All consumption Tax increase Regulation advertising Heavy use / dependence Minimum pricing School-based programmes Brief Intervention Drug / psychosocial therapy Workplace programmes Injuries Drink drive enforcement Limit opening hours Source: Tackling Harmful Alcohol Use, OECD, 2015
  • 15.
    No effect ondrinking modelled for drink-driving enforcement and limit opening hours Source: OECD, 2015 Prevention Decreases Dependency and Harmful and Binge Drinking, Germany -12% -10% -8% -6% -4% -2% 0% main analysis further analysis Decreaseinprevalence Hazardous/harmful drinkers Heavy episodic drinkers Dependent drinkers
  • 16.
    Prevention Saves Livesand Keeps in Good Health, Germany ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ns 0 25 000 50 000 75 000 100 000 125 000 150 000 Brief interventions Tax increase Advertising regulation Opening hours regulation Drink-drive restrictions Treatment of dependence Minimum price Worksite interventions School-based programmes DALYs Life Years Source: Tackling Harmful Alcohol Use, OECD, 2015
  • 17.
    Many Interventions AreCost- Saving, Germany -600 -400 -200 0 200 400 600 800 main analysis further analysis Yearlycost(millionUSDPPPs) Intervention costs Health expenditure Source: Tackling Harmful Alcohol Use, OECD, 2015
  • 18.
    Preventing Alcohol Consumptionis an Efficient Investment Further analyses as dotted lines 0 10 000 20 000 30 000 40 000 50 000 60 000 70 000 80 000 5 10 15 20 25 30 35 40 CEratio(USDPPP/DALY) Time (years) Brief interventions Drink-drive restrictions Treatment of dependence Worksite interventions Cost-saving interventions Minimum price School-based programmes Opening hours regulation Tax increase Advertising regulation (7 years) Source: Tackling Harmful Alcohol Use, OECD, 2015
  • 19.
    Key Policy Implications •Alcohol consumption is decreasing, overall, but with social & geographical disparities and a rise in binge drinking in some groups • Brief interventions and price and regulation policies provide large health gains • Alcohol policies produce significant reductions in health care expenditure. Many interventions are cost saving • All policies become cost-effective soon after implementation
  • 20.
    International Alcohol PolicyModel (RAND/OECD/WHO) • New project funded by NIH for 2015-2019 • 3 types of policy: Price Drink driving enforcement Health care policy • 8 countries: USA, Canada, Mexico, Chile, UK, Finland, Russia + France • Modelling, Evaluation, Diffusion
  • 21.
    Contact: Marion.Devaux@oecd.org Read moreabout our work Follow us on Twitter: @OECD_Social Website: http://www.oecd.org/health/health-systems/economics-of- prevention.htm Newsletter: http://www.oecd.org/health/update Thank you
  • 22.
    This presentation wasproduced for a meeting organized within Joint Action on Reducing Alcohol Related Harm (RARHA) which has received funding from the European Union, in the framework of the Health Programme (2008- 2013). The content of this presentation represents the views of the author/s and it is their sole responsibility; it can in no way be taken to reflect the views of the European Commission or of the Consumers, Health, Agriculture and Food Executive Agency or any other body of the European Union. The European Commission and the Executive Agency do not accept responsibility for any use that may be made of the information it contains.