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Inequality and its measurement The existence of inequalities in health and death is rarely disputed, but there is contention over: Causes of inequality Methods to monitor and measure Extent of inequality, increase or decrease What can be done

Inequality and its measurement

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Inequality and its measurement. The existence of inequalities in health and death is rarely disputed, but there is contention over: Causes of inequality Methods to monitor and measure Extent of inequality, increase or decrease What can be done. Inequalities indicators incorporate:. - PowerPoint PPT Presentation

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Page 1: Inequality and its measurement

Inequality and its measurement

The existence of inequalities in health and death is rarely disputed, but there is contention over:

• Causes of inequality• Methods to monitor and measure• Extent of inequality, increase or decrease • What can be done

Page 2: Inequality and its measurement

Inequalities indicators incorporate:• a measure (e.g. mortality rate, low birthweight

rate, unemployment rate)• an inequalities dimension (e.g. social class,

ethnicity, geographical area)• a comparison (e.g. rate ratio, range, relative or

absolute differences).– Eg births < 2500 gms / 1000 live births

• Change over time without reference to a comparitor population = health gain indicator only

• Compare between Las, PCTs, most and least deprived wards within a LA etc = health inequalities indicator

Page 3: Inequality and its measurement

Health Gaps

A

C D

X axis: health measure eg teenage conception rates by LA

Y axis: frequency

Range = difference between best and worst (B-A)

B

National target measure (eg for life expectancy) = D – C

Ratio between highest and lowest = B/A (eg relative mortality rate between Social Class V and Social Class I)

Page 4: Inequality and its measurement

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0 0.2 0.4 0.6 0.8 1

Cumulative % 15-17 year F population

Cu

mu

lati

ve %

un

der

18 c

on

cep

tio

ns

Line of equality PCT A PCT B

A

Measures of Spatial Inequalities in Health within PCTs

wards ranked from ward with lowest teenage pregnancy rate to ward with highest rate

On X axis: plot cumulative % population

On Y axis: plot cumulative % health measure

B

GINI Coefficient = A/(A+B)

= 0 perfect equality

= 1 perfect inequality

• Blue line PCT 9 wards

• Green line PCT 21 wards

• closer curved line (Lorenz curve) is to line of equality greater degree of equality

Page 5: Inequality and its measurement

Measures of Spatial Inequalities in Health within PCTs

The trend in premature mortality rates is examined for each City deprivation quintile. A regression line is fit through the data for each quintile.

On X axis: plot time banded (3 year intervals)

On Y axis: plot DSR < 75 all causes per City deprivation quintile

Slope comparison across deprivation quintiles reveals progress in the most disadvantaged areas vs most affluent areas

Page 6: Inequality and its measurement

Slope index of inequality

A regression line is drawn through a health measure stratified by a measure of socio-economic status

On X axis: plot average IMD2000 scores for ward deprivation quintiles in N&S

On Y axis: plot DSR < 75 all causes for ward deprivation quintiles in N&S

If slope reduces over time evidence of reduction in health inequalities