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Measuring health inequalities

Health inequalities are not solely about differences between poorer and better off groups. They describe the systematic relationship between socio-economic position and health. Health inequalities follow a social gradient. Health inequalities show a stepwise relation to social position in a gradient which correlates higher social class with increased health throughout the different social groups health is related to an individual’s position in society at every level.

 

A focus on socio-economic differentials rather than social disadvantage, widens the frame of health inequality policy in three major ways. Firstly it searches for the causes of health inequality not in the disadvantaged circumstance and health damaging behaviours of the poorest groups but in the systematic differences in life changes, living standards and lifestyles associated with people’s unequal positions in the socio-economic hierarchy. 

 

Secondly and in consequence, tackling health inequalities is a population-wide goal. It includes everyone. Framed in inclusive terms, the health gradient approach attracts attention to the composition of a population and the distribution of economic advantage and disadvantage. The size of socio-economic groups as well as their levels of health, matter for reducing the socio-economic gradient of health. Thus the intermediate socio-economic groups lying between the top (professional) and the bottom (unskilled manual) make up the majority of the population. Mortality rates are lower than in the poorest group but the compromised health makes a larger contribution to the toll that socio-economic inequality takes on the health of a population. In consequence focusing on the poorest alone will not reduce the size of gain in life expectancy needed to close the gap.

 

Lastly reducing health gradients provides a comprehensive policy goal: one that subsumes remedying disadvantages and narrowing health gaps between the broader goal of equalizing health chances across socio-economic groups. To improve the health of poorer groups are necessary elements in a strategy to reduce the socio-economic gradient. But this is insufficient. To reduce the socio-economic gradient, health in other socio-economic groups also needs to improve at a faster rate than in the highest socio-economic group.

 

Description of relative deprivation and of prosperity across the Kent and Medway population 

The tables and figures below show that poverty exists all over Kent and Medway and is not confined to specific areas. Nevertheless there are major concentrations of deprivation in the Thames-side boroughs of Dartford and Gravesham, in the Medway towns and throughout the coastal east of the county, interspersed with some localised areas of high affluence. The more consistently affluent parts of the county are to be found in Maidstone and the south west quarter of Kent. 

 

Map 1 - Deprivation status of areas in Kent and Medway

 

Table 1 - Numbers of Kent and Medway residents, by deprivation status and area

         

 

Deprivation status

 

Area

Most deprived

2nd quintile

3rd quintile

4th quintile

Most affluent

Total

Medway

72,758

62,794

30,359

49,747

36,557

252,215

Ashford

14,903

7,430

41,818

18,349

29,998

112,498

Canterbury

19,762

30,744

34,125

49,857

13,500

147,988

Dartford

15,663

23,686

16,511

13,373

21,384

90,617

Dover

22,639

34,242

25,781

17,011

6,994

106,667

Gravesham

28,799

20,793

18,904

12,475

16,722

97,693

Maidstone

14,866

23,184

22,678

30,250

53,199

144,177

Sevenoaks

6,362

5,616

26,217

28,042

48,061

114,298

Shepway

29,400

30,608

15,463

16,132

8,454

100,057

Swale

40,709

28,823

30,508

22,272

7,939

130,251

Thanet

53,867

37,821

19,883

14,771

2,853

129,195

Tonbridge and Malling

4,448

13,860

20,721

25,927

50,719

115,675

Tunbridge Wells

4,417

10,993

25,428

31,135

33,644

105,617

Eastern and Coastal Kent

181,280

169,668

167,578

138,392

69,738

726,656

West Kent

74,555

98,132

130,459

141,202

223,729

668,077

Medway

72,758

62,794

30,359

49,747

36,557

252,215

Kent & Medway

328,593

330,594

328,396

329,341

330,024

1,646,948

Source: ONS CAS LLSOA estimates for 2007, IMD2007

   

 

Life expectancy

Life expectancy tells us how long a child born today would be expected to live if they experienced the current mortality rates of the area they were born in throughout their lifetime.

 

Using the data from IMD 2007 for all the electoral wards in Kent, it is possible to demonstrate a highly significant correlation between relative deprivation and life expectancy across the county as a whole, also for Medway and for many of the district council areas. 

 

Figure 2 - Rank correlation of deprivation with life expectancy - Kent and Medway 

        

Table 4 - Percentage changes in life expectancy comparing deprivation quintiles

 

 

Observed data: 1999-2001 to 2006-2008

1999-2001 to 2008-2010

Deprivation status

Observed % period change

Percentage difference from most affluent 1999-2001

Percentage difference from most affluent 2006-2008

Projected % period change

Percentage difference from most affluent 2008-2010

Most deprived

1.7

-6.1

-6.3

1.9

-6.5

Second quintile

2.5

-3.3

-2.7

3.1

-2.6

Third quintile

2.9

-3.4

-2.6

3.5

-2.3

Fourth quintile

2.4

-1.7

-1.3

2.9

-1.2

Most affluent

2.0

N/A

N/A

2.4

N/A

Kent & Medway

2.3

N/A

N/A

2.8

N/A

 

Comparing 2000 with 2007 it is evident that at the beginning of the period there is a pattern of poorer health as defined by life expectancy for all quintiles relative to the most affluent, but in the later period (2006-08), there has been relative improvement in the intermediate quintiles relative to the most affluent.  However for the most deprived, a pattern of divergence (a widening health gap) has continued throughout this period. This pattern is projected to continue to 2010. [Table 4]

 

Figure 3 – Life expectancy trends by deprivation status, 3-year averages, Kent & Medway

 

All age all cause mortality

 All age all cause mortality is the accepted convention for measuring overall health status of communities[

 

The overall mortality gap between the richest and poorest in Kent and Medway is increasing over time with quintiles two to five converging upon each other but the most deprived quintile becoming increasingly orphaned. 

 

Figure 4 - All age, all cause mortality rates, 3-year averages, Kent and Medway

 

Deconstructing the trend lines:  What do people prematurely die from and where

The National Health Inequalities Intervention Tool produced by the London Public Health Observatory gives the contribution of specific causes of death to the life expectancy gap and thus in deciles of a year, the life expectancy years that could be gained if the most deprived quintile of residents in each district council area of Kent had the same mortality rate as the average in that district for each. The data within in the tool refers to the period 2001-2005.