Relative index of inequality as a ratio of predicted health

Divides predicted health at rank 1 by predicted health at rank 0 from the same fitted line as the slope index. The line passes through mean health at the mean rank of 0.5, so the intercept alpha, the predicted value at rank 0, is mean health minus half the slope index, and the predicted value at rank 1 is alpha plus the slope index. A value above 1 shows higher health in the advantaged groups.

Signature

alpha = mu - SII / 2; RII_ratio = (alpha + SII) / alpha
Inputs
InputsDefinitionUnit
muPopulation-weighted mean health across all groupshealth units, for example years of QALE
SIISlope index of inequality from HE-FM-HINQ-002health units, in the same unit as mu
Output
alphaPredicted health at rank 0, the intercept of the fitted line. Above zerohealth units, for example years of QALE
RII_ratioRelative index of inequality as the ratio of predicted health at rank 1 to predicted health at rank 0ratio, without unit

Function

Health inequality measures across ordered population groups

Maps the mean health of population groups, ordered from the most to the least disadvantaged, and the share of the population in each group to summary measures of socioeconomic-related health inequality: the absolute and relative gaps between the extreme groups, the slope index of inequality, the relative index of inequality in two forms and the concentration index. The measures describe how health varies with socioeconomic position and do not say whether that variation is unfair, which is the separate judgement of health inequity. The Atkinson index, which ignores the ranking of groups, has its own records on the Atkinson index page (HE-FN-ATK-001) and is not repeated here.

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Implementations

  • Excel

    Ratio relative index of inequality in one Excel cell

    With population-weighted mean health in a cell named MeanHealth and the slope index in a cell named SII, Excel returns the ratio form directly: the numerator is predicted health at rank 1 and the denominator predicted health at rank 0.

    =(MeanHealth+SII/2)/(MeanHealth-SII/2)

Assumptions

  • Same fitted line for the ratio relative index and the slope index

    Both predicted values come from the population-weighted line used for the slope index, with ranks at the midpoint of each group's range. A line fitted with other ranks or weights gives a different intercept and a different ratio.

  • Intercept above zero for the ratio relative index

    The ratio is defined only when predicted health at rank 0 is above zero. For an indicator with low values in the disadvantaged groups a steep line can bring the intercept close to zero, and the ratio then becomes very large.

Worked examples

  • Ratio relative index for five equal deprivation quintiles

    In the article's example the intercept is 68 minus half of 12.5, or 61.75 years, and predicted health at rank 1 is 74.25 years. The ratio 74.25 / 61.75 = 1.2024, which the article rounds to 1.20.

    mu = 68; SII = 12.5; alpha = 61.75; RII_ratio = 1.2024
  • Ratio relative index after a gain of 1 year in every quintile

    Under Programme A in the article the slope index stays at 12.5 years but mean health rises to 69 years, so the intercept is 62.75 years and the ratio falls to 75.25 / 62.75 = 1.1992.

    mu = 69; SII = 12.5; alpha = 62.75; RII_ratio = 1.1992

Common errors

  • Using cumulative shares instead of midpoints as ranks for the ratio relative index

    Placing each quintile at the end of its range, from 0.2 to 1.0, leaves the slope at 12.5 years for equal shares but moves the intercept to 68 minus 0.6 times 12.5, or 60.5 years. The ratio becomes 73.0 / 60.5 = 1.2066 instead of 1.2024.

Sources

  • WHO handbook definition of the relative index of inequality

    World Health Organization. Handbook on health inequality monitoring: with a special focus on low- and middle-income countries. Geneva: World Health Organization; 2013. Section 3.5, tip box on other applications of the slope index of inequality and concentration index (printed page 45), which generates the relative index in the same manner as the slope index but divides the predicted values at rank 1 and rank 0 rather than subtracting them.

    View source →

Canonical Identity

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