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Table 2 Bivariate analysis for associations between health insurance ownership and explanatory variables

From: Determinants of health insurance ownership among women in Kenya: evidence from the 2008–09 Kenya demographic and health survey

 

Covered by health insurance

Variable

Total number

N (%)

p-values

Employment sector

   

Formal employment

2,114

353 (16.7)

***

Informal employment

2,565

102 (4.0)

Not working

3,735

147 (3.9)

Marital status

   

Never married

2,538

158 (6.2)

***

Married

5,035

411 (8.2)

Formerly married

862

35 (4.1)

Education

   

No education

1,239

6 (0.5)

***

Primary

4,400

100 (2.3)

Secondary or higher

2,796

498 (17.8)

Exposure to media

   

Frequency of reading newspaper

   

Not all

4,913

1.9

***

Sometimes

2,948

10.6

Almost everyday

566

35.0

Frequency of listening to radio

   

Not all

1,551

18.4

***

Sometimes

2,004

23.8

Almost everyday

4,877

57.8

Frequency of watching television

   

Not all

4,595

1.7

***

Sometimes

1,636

6.2

Almost everyday

2,202

19.3

Age (Years)

   

15-19

1,765

53 (3.0)

***

20-24

1,742

86 (4.9)

25-29

1,422

123 (8.7)

30-34

1,178

118 (10.0)

35-39

930

91 (9.8)

40-44

729

72 (9.9)

45-49

669

61 (9.1)

Gender of household head

   

Male

5,345

393 (7.4)

0.368

Female

3,090

211 (6.8)

Number of household members

   

1-4 members

3,360

305 (9.1)

***

5+ members

5,075

299 (5.9)

Household wealth status

   

Poorest/poorer

2,977

18 (0.6)

***

Middle

1,455

44 (3.0)

Richer/richest

4,003

542 (13.5)

Place of residence

   

Urban

2,611

395 (15.1)

***

Rural

5,824

209 (3.6)

Province

   

Central

972

40 (4.1)

***

Coast

1,149

67 (5.8)

Eastern

1,127

62 (5.5)

North Eastern

606

1 (0.2)

Nairobi

951

230 (24.2)

Nyanza

1,316

82 (6.2)

Rift Valley

1,276

84 (6.6)

Western

1,038

38 (3.7)

Total

8,444

604 (7.2)

 
  1. *p < 0.05; **p < 0.01; ***p < 0.001; X2 was used to test the association between health insurance ownership and explanatory variables.