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Measuring global health inequity.

Reidpath DD, Allotey P - Int J Equity Health (2007)

Bottom Line: Unfortunately measures of global health inequality do not take account of the health inequity associated with the additional, and unfair, encumbrances that poor health status confers on economically deprived populations.The inequity of poor health experienced by poorer regions around the world is significantly worse than a simple analysis of health inequality reveals.By measuring the inequity and not simply the inequality, the magnitude of the disparity can be factored into future economic and health policy decision making.

View Article: PubMed Central - HTML - PubMed

Affiliation: Centre for Public Health Research, Brunel University, Uxbridge, UK. daniel.reidpath@brunel.ac.uk.

ABSTRACT

Background: Notions of equity are fundamental to, and drive much of the current thinking about global health. Health inequity, however, is usually measured using health inequality as a proxy - implicitly conflating equity and equality. Unfortunately measures of global health inequality do not take account of the health inequity associated with the additional, and unfair, encumbrances that poor health status confers on economically deprived populations.

Method: Using global health data from the World Health Organization's 14 mortality sub-regions, a measure of global health inequality (based on a decomposition of the Pietra Ratio) is contrasted with a new measure of global health inequity. The inequity measure weights the inequality data by regional economic capacity (GNP per capita).

Results: The least healthy global sub-region is shown to be around four times worse off under a health inequity analysis than would be revealed under a straight health inequality analysis. In contrast the healthiest sub-region is shown to be about four times better off. The inequity of poor health experienced by poorer regions around the world is significantly worse than a simple analysis of health inequality reveals.

Conclusion: By measuring the inequity and not simply the inequality, the magnitude of the disparity can be factored into future economic and health policy decision making.

No MeSH data available.


Related in: MedlinePlus

The log ratio of expected to actual per capita health (DALYs) illustrating the inequality of health distribution by WHO mortality sub-region.
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Figure 2: The log ratio of expected to actual per capita health (DALYs) illustrating the inequality of health distribution by WHO mortality sub-region.

Mentions: Figure 2 shows the plot of the log ratio of expected and actual DALYs per capita for each of the 14 mortality sub-regions. A loess regression line is plotted against the points. A horizontal, reference line that assumes pre-existing equality is also plotted at 0 on the y-axis. Deviations are minimized because the data points (mortality sub-regions) are pre-ordered from low to high (left to right).


Measuring global health inequity.

Reidpath DD, Allotey P - Int J Equity Health (2007)

The log ratio of expected to actual per capita health (DALYs) illustrating the inequality of health distribution by WHO mortality sub-region.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC2147004&req=5

Figure 2: The log ratio of expected to actual per capita health (DALYs) illustrating the inequality of health distribution by WHO mortality sub-region.
Mentions: Figure 2 shows the plot of the log ratio of expected and actual DALYs per capita for each of the 14 mortality sub-regions. A loess regression line is plotted against the points. A horizontal, reference line that assumes pre-existing equality is also plotted at 0 on the y-axis. Deviations are minimized because the data points (mortality sub-regions) are pre-ordered from low to high (left to right).

Bottom Line: Unfortunately measures of global health inequality do not take account of the health inequity associated with the additional, and unfair, encumbrances that poor health status confers on economically deprived populations.The inequity of poor health experienced by poorer regions around the world is significantly worse than a simple analysis of health inequality reveals.By measuring the inequity and not simply the inequality, the magnitude of the disparity can be factored into future economic and health policy decision making.

View Article: PubMed Central - HTML - PubMed

Affiliation: Centre for Public Health Research, Brunel University, Uxbridge, UK. daniel.reidpath@brunel.ac.uk.

ABSTRACT

Background: Notions of equity are fundamental to, and drive much of the current thinking about global health. Health inequity, however, is usually measured using health inequality as a proxy - implicitly conflating equity and equality. Unfortunately measures of global health inequality do not take account of the health inequity associated with the additional, and unfair, encumbrances that poor health status confers on economically deprived populations.

Method: Using global health data from the World Health Organization's 14 mortality sub-regions, a measure of global health inequality (based on a decomposition of the Pietra Ratio) is contrasted with a new measure of global health inequity. The inequity measure weights the inequality data by regional economic capacity (GNP per capita).

Results: The least healthy global sub-region is shown to be around four times worse off under a health inequity analysis than would be revealed under a straight health inequality analysis. In contrast the healthiest sub-region is shown to be about four times better off. The inequity of poor health experienced by poorer regions around the world is significantly worse than a simple analysis of health inequality reveals.

Conclusion: By measuring the inequity and not simply the inequality, the magnitude of the disparity can be factored into future economic and health policy decision making.

No MeSH data available.


Related in: MedlinePlus