By definition, 20% of the population must fall into each wealth quintile. Percentage falling below absolute poverty lines may vary from country to country and within countries by place of residence.
Mozambique 71% rural, 62% urban under national poverty line Guatemala 7 4% rural, 27% urban under poverty line India 30% rural, 25% urban under poverty line It is clear from this chart that the lower three quintiles in Mozambique may consist entirely of people below the national poverty line, whereas in India people in the middle quintile would all be ABOVE the national poverty line.
Ethnic differences may also be associated with inequalities in health, not only because of lack of access to services but also because the service staff speak a different language and/or service practices (such as pelvic examinations) run counter to cultural norms. The highlands regions of Bolivia and Peru are home to high concentrations of indigenous women (who speak Quechua or Aymara rather than Spanish). Note the geographic differences in modern method contraceptive use. Similar comparisons could be made by language spoken at home (data available in DHS data set but not published in final reports).
In Mali only 3% of rural women were classified as “wealthy”
Comparing Quintile 1 to Quintile 5 may be comparing urban residents as a whole with poorest rural residents Cannot be solved by cross-tabulating quintile by place of residence Rank urban and rural populations into their own, separate quintiles
in Mali, poverty-inequalities in modern method use are found only in urban areas and rural women show low levels of use regardless of relative poverty status.
Data sources Program expenditures Household survey Census Program service records Client intercept surveys
Addressing Poverty-Equity in Health Program Design, Implementation and Evaluation - Presentation Transcript
Addressing Poverty-Equity in Health Program Design, Implementation and Evaluation Karen Foreit 9 October 2009
What does it mean to address poverty ?
Design interventions to reduce poverty-related inequalities in health status
Monitor program uptake by the poor
Assess changes in identified health inequalities
Who and what do we want to address?
Who are the poor?
Which health indicators show inequalities?
Other factors in addition to poverty?
Who are the poor?
Relative poverty
Rank people within the same country or region based on tangible assets or other characteristics
DHS “wealth quintiles”
Absolute poverty
Compare people against a standardized poverty line, based on income or expenditures
World Bank “Living Standards Measurement”
Do not line up with absolute poverty
Interpreting quintiles
Do not line up with absolute poverty
The middle matters
Interpreting quintiles
60% of the population belongs to Quintiles 2-4
What do we lose by leaving out the middle?
Which is the priority group?
Is there only one priority group?
Do not line up with absolute poverty
The middle matters
Other factors may be associated with poverty
Interpreting quintiles
Ethnic Inequality
Bolivia:
Llano region vs. Altiplano
Peru:
Coast vs. Sierra
Ethnicity
70% Urban-rural confound with quintiles Mali 26% 70% Place of residence source: Mali DHS
70% Urban-rural confound with quintiles Mali 26% 70% Place of residence source: Mali DHS
Do not line up with absolute poverty
The middle matters
Other factors may be associated with poverty
Not all health indicators show the same poverty-related inequalities
Interpreting quintiles
source: Honduras 2005/6 DHS
Disentangling quintile and residence Mali source: Mali DHS
Designing a pro-poor intervention
Focused to benefit the poor
Usually involves additional resources for the poor
redistributing existing resources away from better-off populations/areas towards the poor/poverty areas
adding new resources to overall budget
Consider other factors associated with poverty
Many barriers faced by the poor are non-financial
Are services physically accessible to the poor? Increase ability to pay Where are the poor? no yes Where are the services? Improve physical access Language, class discrimination or other social factors may be more important than ability to pay or service availability
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