INEQUALITIES IN HEALTH CARE
UTILISATION IN OECD COUNTRIES
Marion Devaux, OECD Health Division
EU Expert Group Meeting on Social Determinants and Health Inequalities, 21-Jan-2013
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OECD framework for health system performance assessment
Health care system performance
Quality Access Expenditure
Non-health care determinants of health Health status
Equity
Efficiency
Health system design, policy and context
Source: OECD Health at a Glance 2011
Previous work on inequalities in health care use
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• To update earlier results on inequity in health care use (van Doorslaer and Masseria, 2004) to extend the
analysis to new health care services and to new OECD countries.
• To examine inequalities in conjunction with health
systems characteristics (with focus on financial barriers)
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Objective of the study
• Measuring inequities by income level in doctor visits by adjusting for differences in people’s need for health care.
Horizontal equity principle
• Measuring income-related inequalities in dentist visits and breast and cervical cancer screening.
• Concentration index to measure the degree of inequality/inequity.
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Methods
• Latest national health survey data for 19 OECD countries
• Doctor visits in the past 12 months
• Dentist visits
• Breast & cervical cancer screening
• Needs for health care
• Individual characteristics
• Income level of the household.
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Data
19 OECD countriesAustria (EHIS 2006/7) Belgium (EHIS 2008) Canada 2007/08
Czech republic (EHIS 2008) Denmark 2005
Estonia (EHIS 2006/7) Finland 2009
France 2008 Germany 2009
Hungary( EHIS 2009) Ireland 2007
New Zealand 2006-07 Poland (EHIS 2009)
Slovak republic (EHIS 2009) Slovenia (EHIS 2007)
Spain 2009
Switzerland 2007
United Kingdom 2009 United States 2008
• Small variations across income groups.
• Before need-adjustment, low-income people are more likely to see a GP in 13 of 17 countries.
• After need-adjustment, low-income people are as likely as high-income
people to see a GP (in 8 of 17 countries).
• Once they go to visit a GP, low-income people are more likely to consult more often.
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GP visits in the past 12 months
Source: OECD Health Working Paper No 58. Devaux and de Looper, 2012.
(*) in past 3 months in Denmark
France Belgium New Zealand Austria Canada Slovak Republic Spain Hungary United Kingdom Ireland Czech Republic Poland Slovenia Estonia Switzerland Finland Denmark*
Need-adjusted probability of a GP visit in last 12 months by income quintile (age 16-85)
0.30 0.40 0.50 0.60 0.70 0.80 0.90 1.00
Rates of GP visits in the past 12 months Lowest
income quintile
Average Highest income quintile
• Large variations across income groups, low-income
people being less likely to see a specialist in all countries.
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Specialist visits in the past 12 months
Hungary Czech Republic France Canada Slovak Republic Spain Switzerland Belgium Poland Estonia Slovenia United Kingdom Finland New Zealand Denmark*
Need-adjusted probability of a specialist visit in last 12 months by income quintile (age 16-85)
0.00 0.20 0.40 0.60 0.80
Rates of specialist visits in the past 12 months Lowest
income quintile
Average Highest income quintile
Source: OECD Health Working Paper No 58. Devaux and de Looper, 2012.
(*) in past 3 months in Denmark
-0.10 -0.05 0.00 0.05 0.10 0.15
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Inequity Index in GP and Specialist visits
-0.10 -0.05 0.00 0.05 0.10 0.15
Source: OECD Health Working Paper No 58. Devaux and de Looper, 2012.
(*) in past 3 months in Denmark
Inequity in GP visits Inequity in Specialist visits
Pro-poor inequity
Pro-rich inequity
Pro-rich inequity
• People with higher incomes are more likely to visit a dentist
• Main reasons = Financial barriers
• Dental care not -or only partly- reimbursed under health insurance plans
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Dentist visits in the past 12 months
Source: OECD Health Working Paper No 58. Devaux and de Looper, 2012.
(*) France past 24 months; (**)Denmark past 3 months.
Czech Republic United Kingdom Slovak Republic Switzerland Canada Austria Finland Belgium Slovenia Ireland New Zealand Estonia Spain United States Poland Hungary
France*
Denmark**
Probability of a dentist visit in last 12 months by income quintile (age 16-85)
0.00 0.20 0.40 0.60 0.80 1.00
Rates of dentist visits in the past 12 months Lowest
income quintile
Average Highest income quintile
• In countries with cancer screening programmes,
services are made available to all at little or no cost
• Despite this, uptake varies among socioeconomic groups
• Often, geographic reasons such travelling distance or
availability of screening
facilities create many barriers
• Lower levels of awareness of programmes, symptoms or
risks, especially among women with low incomes or from
minority groups
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Pro-rich inequality in cancer screening
United States Austria Spain Slovenia Canada New Zealand France Poland Denmark Belgium Czech Republic Hungary Slovak Republic United Kingdom Switzerland Estonia Ireland*
Probability of cervical cancer screening in last 3 years by income quintile (age 20-69)
0.00 0.20 0.40 0.60 0.80 1.00
Rates of cervical cancer screening in the past 3 years Lowest
income quintile
Average Highest income quintile
(*) Ireland: in past 12 months
Source: OECD Health Working Paper No 58.
• Country ranking remained rather stable
• Inequities remained very stable for doctor and GP visits.
• Some discrepancies found for specialist (Finland) and dentist visits (Finland, Ireland, and Spain) mainly due to differences in survey methodology and wording of
questions.
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Comparison with earlier findings
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Comparison with earlier findings
Panel A. GP visits: probability Panel B. Specialist visits: probability
Panel C. Dentist visits: probability -0.04
0 0.04 0.08 0.12 0.16 0.2
Inequity index (HI)
2011 project Van Doorslaer & Masseria (2004)
-0.04 0 0.04 0.08 0.12 0.16 0.2
Inequity index (HI)
2011 project Van Doorslaer & Masseria (2004)
-0.04 0 0.04 0.08 0.12 0.16 0.2
Inequality index (CI)
2011 project Van Doorslaer & Masseria (2004)
• Organisation of health systems
• Financing of health care services
• Cultural and information barriers
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Which health system features characterise
countries with lower levels of inequity?
• A greater share of OOP is associated with greater inequity in specialist and dental care.
• Weak correlation possibly because countries with high OOP have introduced measures to offset the negative effects on access
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Out-of-pocket payments (OOP)
Czech Republic Finland
Slovenia Belgium
Spain
Hungary
Switzerland Poland
R² = 0.2786
0 0.04 0.08 0.12
0 5 10 15 20 25 30 35 40
Inequity in specialist visits
Out-of-pocket payment as % of total expenditure on specialist care
France Belgium
Slovenia
Austria Canada
Czech Republic
Slovak Republic Finland Estonia
New Zealand Poland Hungary
Spain
R² = 0.2717
0 0.04 0.08 0.12
0 20 40 60 80 100
Inequality in dental visits
Out-of-pocket payment as % of total dental expenditure
Source: OECD Health Working Paper No 58.
• PHI facilitates the use of care, with the privately
insured more likely to visit specialists and dentists.
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Private Health Insurance (PHI)
58% 38% 61% 42% 74% 78% 57% 70% 76% 41%44% 29% 51% 41% 58% 67% 46% 65% 69% 25%
0%
20%
40%
60%
80%
100%
France* New Zealand*
Switzer- land*
United Kingdom
United States*¤
France* New Zealand*
Switzer- land*
United Kingdom*
United States*
Specialist visits Dentist visits
Probability of a medical visist
Privately insured Not privately insured
Source: OECD Health Working Paper No 58.
• U
pdate of previous work– Inequities in health care utilisation persist across OECD countries
– For the same level of needs, the better-off are more likely to visit doctors - especially specialists and
dentists - than those with lower incomes.
• Need for strengthening equity
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Concluding remarks
• Reducing financial barriers
– Targeting population the most at risk
– Increasing coverage of dental and eye care ? – Trade-off with other objectives such as
controlling public spending to reduce budgetary deficits?
• Reducing non-financial barriers
– Geographic distribution of services
– Social dimension (education level, ethnic and language)
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Possible policy action to strengthen
equal access to care
• OECD Health Working paper No. 58 “Income-Related Inequalities in Health Service Utilisation in 19 OECD Countries, 2008-2009” Devaux, M. and M. de Looper (2012)
• OECD Health at a Glance 2011
www.oecd.org/oecd.org/health/healthataglance
• OECD Health at a Glance Europe 2012
www.oecd.org/health/healthataglance/europe
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More information
This paper was produced for a meeting organized by Health & Consumers DG and represents the views of its author on the
subject. These views have not been adopted or in any way approved by the Commission and should not be relied upon as a statement of the Commission's or Health & Consumers DG's views. The European Commission does not guarantee the accuracy of the data
included in this paper, nor does it accept responsibility for any use made thereof.