From universal access to universal coverage

How does health insurance mechanisms and
HIV interact: Overview of country experience

       Erik Lamontagne, Ole Doetinchem, Robert Greener
                 Systems Integration, UNAIDS
                           Geneva


     Bridging the Divide: Interdisciplinary Partnerships for HIV and Health Systems
                             Vienna, Austria, 16-17 July 2010
Coverage of AIDS services
Different types of mechanisms

private health insurance   social health insurance   public tax-funded provision
The review of country experiences

•Questionnaire on country situation: how is the
overall health insurance and how HIV is eventually
integrated
•Excellent response rate (65/71) countries
•Country analysed in terms of their vulnerability
•Vulnerability level: incorporates proxy measures of
  – Poverty rate
  – Extend of the informal economy
  (see World Social Security Report 2010)
Country characteristics
      Government health expenditure


                                      Classification using vulnerability
                                      index is coherent with usual
                                      characteristics




No clear trend of HIV prevalence
Among vulnerability groups of
countries
Health insurance coverage




Blue: % country including health insurance
Green: proportion of providing ART coverage
Orange: proportion of SHI providing PMTCT
The case of Ghana
The case of South Africa
Lessons to draw (1)

• Introducing health insurance is not an automatic
  recipe for increasing revenue collection for health
  or HIV

• Integrating HIV services in SHI: more challenging
  for low income countries ( f(prevalence) )

• Not a fatality: Ghana, South Africa and Rwanda

• Countries that choose to include HIV services in
  SHI are mainly those already having a functioning
  health insurance system in place.
Lessons to draw (2)

• The review shows that including HIV = essentially
  a political decision

• Possibility to progressively increase coverage
  (pop, cost, services)

• External aid, incl. HIV financing can support (and
  subsidise) progressive integration of HIV in SHI
Thank you



contact:   Erik Lamontagne: lamontagnee@unaids.org
           Geneva, UNAIDS
Annexe
                                 50%
                                                    Economic share of government
                                                                         Zimbabwe




                                                                                                            Lesotho

                                 40%                                                                                    Congo   Swaziland
Government revenue as % of GNI




                                                                                                                                                        Botswana

                                                                                                                                                      South Africa
                                 30%
                                                                                                                                            Namibia         R2 = 0.1757

                                                                                            Ghana



                                                             Malawi                                                                                   Mauritius
                                 20%                                                                         Djibouti
                                                                       Gambia                 Kenya  Senegal
                                                                                                      Côte d'Ivoire
                                                                                                 Zambia     Cameroon
                                          Burundi                         Togo             Benin
                                                                                         Mali
                                                                                                    Mauritania
                                                                 Niger Rwanda
                                              DR Congo                   Mozambique
                                                                                Burkina Faso
                                                                           Uganda
                                                         Guinea-Bissau LeoneTanzania
                                                         Ethiopia Sierra Madagascar             Comoros
                                 10%                                                                                                                      Gabon
                                                                           Guinea
                                                                          Central African Republic
                                                                                                          Nigeria               Angola
                                                                                     Chad



                                 0%
                                   $100                                                               $1,000                                                         $10,000
                                                                                                GNI per capita $US
Health expenditures and GDP
                                  9
                                  9

                                  8
                                  8
 Log Health Expenditures/capita
 Log Health Expenditures/capita   7
                                  7

                                  6
                                  6

                                  5
                                  5

                                  4
                                  4

                                  3
                                  3

                                  2
                                                       (most of ) Sub
                                  2
                                                       Saharan Africa
                                  1
                                  1
                                      4
                                      4   5
                                          5   6
                                              6    7
                                                   7    8
                                                        8   9
                                                            9      10
                                                                   10   11
                                                                        11   12
                                                                             12
                                                  Log GDP/capita
                                                  Log GDP/capita
Van der Gaag et al, Economics Reference Group, Dec 2009
Projection of health funding
•GDP per capita is an almost perfect predictor of health expenditure per
capita
•The estimated income elasticity is higher than zero and close to or
even higher than one.
•This implies that health is regarded more as a “luxury good” than as a
necessity (by the aggregate populations of most countries)

•Based on projections of health funding to 2030, Van der Gaag et al
(2009) concludes that:
    – over time (relatively fast growing) middle income countries may have
      sufficient funding…
    – …but (relatively slow growing) low income countries will need significant
      financial support for years to come.

Ias presentation social_health_insurance_lamontagne

  • 1.
    From universal accessto universal coverage How does health insurance mechanisms and HIV interact: Overview of country experience Erik Lamontagne, Ole Doetinchem, Robert Greener Systems Integration, UNAIDS Geneva Bridging the Divide: Interdisciplinary Partnerships for HIV and Health Systems Vienna, Austria, 16-17 July 2010
  • 2.
  • 3.
    Different types ofmechanisms private health insurance social health insurance public tax-funded provision
  • 4.
    The review ofcountry experiences •Questionnaire on country situation: how is the overall health insurance and how HIV is eventually integrated •Excellent response rate (65/71) countries •Country analysed in terms of their vulnerability •Vulnerability level: incorporates proxy measures of – Poverty rate – Extend of the informal economy (see World Social Security Report 2010)
  • 5.
    Country characteristics Government health expenditure Classification using vulnerability index is coherent with usual characteristics No clear trend of HIV prevalence Among vulnerability groups of countries
  • 6.
    Health insurance coverage Blue:% country including health insurance Green: proportion of providing ART coverage Orange: proportion of SHI providing PMTCT
  • 7.
  • 8.
    The case ofSouth Africa
  • 9.
    Lessons to draw(1) • Introducing health insurance is not an automatic recipe for increasing revenue collection for health or HIV • Integrating HIV services in SHI: more challenging for low income countries ( f(prevalence) ) • Not a fatality: Ghana, South Africa and Rwanda • Countries that choose to include HIV services in SHI are mainly those already having a functioning health insurance system in place.
  • 10.
    Lessons to draw(2) • The review shows that including HIV = essentially a political decision • Possibility to progressively increase coverage (pop, cost, services) • External aid, incl. HIV financing can support (and subsidise) progressive integration of HIV in SHI
  • 11.
    Thank you contact: Erik Lamontagne: lamontagnee@unaids.org Geneva, UNAIDS
  • 12.
    Annexe 50% Economic share of government Zimbabwe Lesotho 40% Congo Swaziland Government revenue as % of GNI Botswana South Africa 30% Namibia R2 = 0.1757 Ghana Malawi Mauritius 20% Djibouti Gambia Kenya Senegal Côte d'Ivoire Zambia Cameroon Burundi Togo Benin Mali Mauritania Niger Rwanda DR Congo Mozambique Burkina Faso Uganda Guinea-Bissau LeoneTanzania Ethiopia Sierra Madagascar Comoros 10% Gabon Guinea Central African Republic Nigeria Angola Chad 0% $100 $1,000 $10,000 GNI per capita $US
  • 13.
    Health expenditures andGDP 9 9 8 8 Log Health Expenditures/capita Log Health Expenditures/capita 7 7 6 6 5 5 4 4 3 3 2 (most of ) Sub 2 Saharan Africa 1 1 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 Log GDP/capita Log GDP/capita Van der Gaag et al, Economics Reference Group, Dec 2009
  • 14.
    Projection of healthfunding •GDP per capita is an almost perfect predictor of health expenditure per capita •The estimated income elasticity is higher than zero and close to or even higher than one. •This implies that health is regarded more as a “luxury good” than as a necessity (by the aggregate populations of most countries) •Based on projections of health funding to 2030, Van der Gaag et al (2009) concludes that: – over time (relatively fast growing) middle income countries may have sufficient funding… – …but (relatively slow growing) low income countries will need significant financial support for years to come.