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Under JPG Teaching Fellowship

Permission from JPGSPH
CoE-UHC
Equity in Healthcare Financing: Principals and
Measurements

Jahangir A. M. Khan, PhD
Head, Health Economics Unit, icddr,b
Associate Professor, JPGSPH, BRAC University
2
What is equity?
Principle of being fair to all, with reference
to a defined and recognized set of values.

3
Equity concepts







Market mechanism is considered fair/Nozick.
Maximising greatest happiness for greatest numbers,
but ignores distributional aspects /Utilitarianism.
Goods are distributed so that the position of the least
well off in society is maximized/ Rawls
Equal shares of a distribution of a commodity which
means equality in health and health care/
Egalitarianism

4
Equity in what ?






Health
Health care delivery
Health care utilization
Health care financing

5
Dimensions in Equity


Vertical equity
The principle that says that those who are in different
circumstances should be treated differently.



Horizontal equity
The principle that says that those who are in identical or
similar circumstances should be treated equally.

6
Measurements
The range
The index of dissimilarity

The slope and relative indices of inequality
The Gini-coefficient

The concentration index

7
Criteria to be a good measurement
of inequality in health
1. It reflects the experiences of the entire population.
2. It reflects the socioeconomic dimension of health.

3. It is sensitive to changes in the distribution of the
population across the socioeconomic groups.

The objective of the study determines which
measurement of inequality is best.
8
GINI-COEFFICIENT

9
Lorenz Curve
Lorenz curve plots cumulative proportion population
(ranked from the sickest to the healthiest one) in x-axel
against cumulative poportion payments in y-axel.

10
Equal distribution of healthcare payments

EXCEL EXAMPLE

11
Cumulative proportion Payments

Lorenz curve with perfect equality
B

100%

80%

60%

40%

20%

O

C
20%

40%

60%

80%

100%

Cumulative proportion population

12
Inequal distribution of payments

EXCEL EXAMPLE

13
Gini-Coefficient

2 * (Area under diagonal – area under lorenz curve)

14
Calculating Gini-Coefficient

Brown’s formula
Index =
Y = Cumulative proportion population
X = Cumulative proportion health or ill-health
k = Number of individuals
i = Individual and corresponding health in specific position

15
Gini-coefficient
Pop

1
1
1
1
1
1
1
1
1
1
10

Prop
Cum.
pop Prop. Pop
(X)
0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.1
1

0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1

Xi-Xi-1 (A)

0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.1

Income

Prop
income

Cum
Yi+Yi-1
prop
(B)
income
(Y)
2
0.02
0.02
0.02
4
0.04
0.06
0.08
6
0.06
0.12
0.18
7
0.07
0.19
0.31
9
0.09
0.28
0.47
11
0.11
0.39
0.67
12
0.12
0.51
0.9
14
0.14
0.65
1.16
15
0.15
0.8
1.45
20
0.2
1
1.8
100
Sum =
Gini-coefficient = 1-sum(A*B)=

A*B

0.002
0.008
0.018
0.031
0.047
0.067
0.09
0.116
0.145
0.18
0.704
0.296

16
CONCENTRATION INDEX

17
Concentration curve
A variant of Lorenz curve. Socioeconomic dimension
of health is included in the concentration curve.
Concentration curve plots cumulative proportion
population (ranked from the poorest to the richest
socioeconomic condition) in x-axel against cumulative
poportion payments in y-axel.

18
Concentration curve of payments

B

100%

Cumulative proportion payments




80%

B´


60%

40%



20%

O

C
20%

40%

60%

80%

100%

Cumulative proportion population
(ranked from poorest to richest)

19
Concentration Index
2*(area under diagonal – area under concentration curve)

20
Calculating concentration index
Pop

1 (Poorest)
1
1
1
1
1
1
1
1
1 (Richest)

Prop pop

0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.1
1

Cum.
Xi-Xi-1
Prop. Pop
(A)
(X)

0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1

0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.1

Payments

Prop
sickdays

Cum
Yi+Yi-1
prop
(B)
payments
(Y)
0.184
0.184
0.184
0.158
0.342
0.526
0.132
0.474
0.816
0.118
0.592
1.066
0.105
0.697
1.289
0.092
0.789
1.487
0.079
0.868
1.658
0.066
0.934
1.803
0.039
0.974
1.908
0.026
1
1.974

14
12
10
9
8
7
6
5
3
2
76
Concentration Index = 1-sum(A*B)=

A*B

0.018
0.053
0.082
0.107
0.129
0.149
0.166
0.18
0.191
0.197
1.271
-0.271

21
Measuring progressivity
Kakwani Index = Concentration index of payments
minus Gini- coefficient of income
Kakwani Index ranges between -2 and +1

(-) Regressive
(0) Proportional
(+) Progressive

22
Check if Gini-coefficient and concentration index satisfy
the following criteria.

1. It reflects the experiences of the entire
population.
2. It reflects the socioeconomic dimension of
health.
3. It is sensitive to changes in the distribution of
the population across the socioeconomic groups.
23
Application of Gini coefficient and concentration index
Redistributive Effects of the Swedish Social
Insuarnce System
European Journal of Public Health 2002; 12: 273-278.

Jahangir Khan, MSc
Bjarne Jansson, PhD
Ulf-G Gerdtham, PhD

24
Background
Four principles are used to distribute payments via the
Swedish social-insurance system in cases of temporary
or permanent illness and death. This paper studies the
redistributive effects on income of these four principles.

25
Types of payment and the payment principles
No

Insurance

Principle

Coverage

Regulation

Expected distribution

1

Sickness allowance (SA)

Compensates lost income

Universal

Insured persons
earning at least
897 US$ during the
year and on sick leave
longer than 14 days

CI < 0

2

Cash benefit to closely
related persons (CBR)

Compensates lost income

Universal

Payments for 30 days
per year per person

CI (?)

3

Rehabilitation benefit (RB)

Compensates lost income

Universal

Workplace-related

CI < 0

4

Survivor’s pension (SP)

Compensates lost income

Universal

CI < 0

5

Occupational injury (OI)

Compensates lost income

Gainful
workers

CI < 0

6

Child care allowance (CC)

Flat-rate

Universal

CI (?)

7

Municipal housing
supplement (MHS)

Means-tested

Universal

CI < 0

8

Handicap allowance (HA)

Need-based

Universal

CI < 0

9

Disability pension (DP)

Compensates lost income
and flat-rate

Universal

CI < 0

26
Methods
The analysis is based on aggregate social-insurance data from the
25 municipalities that comprise Stockholm County in Sweden.
For nine different types of social-insurance payments based on
the four principles, the degree of income redistribution is
measured according to concentration indexes and differences
between Gini coefficients with social-insurance payments
excluded and included.

27
Results
Municipalities

IGW

SA

CBR

RB

SP

OI

CC

MHS

HA

DP

TP

Norrtälje

20269

614.60

0.46

94.08

338.67

57.43

40.28

110.64

26.43

1000.47

2283.06

Södertälje

22182

658.81

0.49

114.78

280.38

48.00

29.89

140.98

26.54

1080.21

2380.07

Botkyrka

22227

670.95

0.56

100.03

161.33

39.63

28.47

108.36

18.57

842.29

1970.21

Nynäshamn

22706

557.73

0.73

83.73

260.24

20.24

22.41

64.31

20.65

776.94

1806.98

Sundbyberg

23004

515.96

0.36

95.86

343.79

31.75

16.51

111.37

27.46

946.78

2089.84

Haninge

23423

510.84

0.41

88.16

170.18

65.92

30.06

98.40

19.07

796.77

1779.79

Upplands-Bro

23438

512.78

0.29

78.65

155.53

21.08

23.10

79.67

21.88

634.01

1526.99

Sigtuna

23946

565.62

0.12

88.60

200.00

31.88

24.70

65.88

21.98

641.60

1640.35

Solna

24051

498.61

0.28

73.04

384.39

16.96

18.82

93.66

27.49

910.69

2023.94

Huddinge

24215

555.35

0.39

96.88

198.35

66.29

26.90

82.59

19.87

789.34

1835.95

Värmdö

24230

549.88

0.19

84.03

179.15

40.94

29.26

42.72

25.18

765.31

1716.66

UpplandsVäsby

24380

559.82

0.27

45.30

171.12

46.63

28.91

67.06

21.14

619.01

1559.27

Vallentuna

24649

371.92

0.67

26.74

200.37

24.45

38.76

58.78

17.31

503.26

1242.26

Salem

24768

529.30

0.35

109.82

166.27

28.90

30.46

60.75

22.74

510.31

1458.89

Stockholm

24813

524.72

0.38

104.94

371.25

39.96

25.91

130.82

29.02

882.18

2109.19

Vaxholm

24873

565.13

0.90

76.93

293.26

38.54

48.69

38.37

17.75

551.33

1630.91

Österåker

24963

439.10

0.39

84.16

167.65

64.93

32.97

69.49

16.59

532.49

1407.77

Tyresö

25321

518.50

0.44

89.99

179.61

47.19

29.16

73.25

19.06

683.13

1640.32

Järfälla

25904

425.17

0.36

74.43

207.30

36.13

23.67

78.08

22.85

685.33

1553.32

Ekerö

26054

420.28

0.83

87.39

189.02

26.19

28.34

44.84

19.76

408.98

1225.63

Sollentuna

27145

433.23

0.36

68.80

224.68

35.63

28.62

71.31

19.85

591.91

1474.39

Nacka

27309

520.77

0.40

88.45

263.03

31.07

23.80

69.87

19.02

653.20

1669.60

Täby

29731

343.85

0.46

49.26

241.25

13.95

25.95

44.76

19.08

483.43

1221.99

Lidingö

31016

452.72

0.64

62.63

402.43

17.34

25.37

51.81

22.13

507.29

1542.36

Danderyd

35291

323.14

0.71

45.31

381.37

9.27

25.37

34.40

21.06

426.42

1267.04

Mean

24963

518.66

0.41

90.83

289.79

39.31

26.87

100.33

24.39

785.09

1875.69

CI
(t-value)

-0.0587
(-5.330)

0.0184
(0.546)

- 0.0390
(-1.650)

0.0334
(0.974)

-0.0787
(-2.182)

-0.0158
(-0.910)

- 0.0598
(-1.695)

-0.0089
(-0.420)

- 0.0686
(-3.556)

- 0.0469
(-2.773)

p-value

0.000

0.590

0.113

0.340

0.040

0.372

0.104

0.678

0.002

Weight

0.2765

0.0002

0.0484

0.1545

0.0210

0.0143

0.0535

0.0130

0.4186

1.000

Absolute

-0.0162

0.0000

- 0.0019

0.0052

-0.0016

-0.0002

- 0.0032

-0.0001

- 0.0287

- 0.0469

Relative (%)

34.65

- 0.01

-11.00

3.52

0.48

0.25

61.26

100.00

IGW+SA

IGW+CBR

IGW+SP

IGW+OI

IGW+CC

IGW+MHS

IGW+HA

IGW+DP

IGW+TP

IGW

4.03
IGW+RB

6.83

0.011

Gini
coefficient
(t-value)

0.0437
(7.387)

0.0416
(7.299)

0.0437
(7.387)

0.043
(7.419)

0.0442
(7.160)

0.0435
(7.398)

0.0436
(7.388)

0.0433
(7.432)

0.0436*
(7.392)

0.0405
(7.448)

0.0379
(7.624)

p value

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

28
Results
The concentration indexes for payments from the nine
social-insurance schemes in total is –0.0469. The Gini
coefficient falls from 0.0437 excluding insurance
payments (i.e. for income only from gainful work, IGW)
to 0.0379 when including insurance payments with
income from gainful work (IGW+TP). That is, the Gini
coefficient is 15% lower when insurance payments are
included. Decomposition by payment shows that the
largest redistribution effect on income inequality is made
by disability pension.

29
Conclusions
Municipalities with low average income are favoured by the
Swedish social-insurance system. Payment principles can be
ranked according to their redistributive capacity: mix of
compensating-lost-income and flat-rate, compensating-lostincome, means-testing, flat-rate, and need-based respectively.
The nine social-insurance schemes contribute very differently
to income redistribution. Disability pension and sickness
allowance contribute most to income redistribution and
reducing income inequality.

30

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