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Table 3 Logistic regression of health insurance cover use on selected covariates

From: Factors related to women’s use of health insurance cover in Navakholo, Kakamega County, Kenya: sub-county level results based on community household register

Dep.=owns health insurance cover 0 = No 1 = Yes

Coef.

Odds ratio

Std. Err.

P > z

[95% Conf.

Interval]

Significance

Age group Ref.=15–19

      

20–24

0.678

1.969

0.355

0.056

-0.019

1.374

 

25–29

1.147

3.149

0.350

0.001

0.461

1.833

**

30–34

1.240

3.456

0.350

0.000

0.555

1.926

***

35–39

1.426

4.163

0.351

0.000

0.738

2.114

***

40–44

1.495

4.458

0.352

0.000

0.804

2.185

***

45–49

1.278

3.588

0.353

0.000

0.586

1.969

***

Relationship Ref.=Household head

      

Spouse

0.084

1.087

0.069

0.223

-0.051

0.218

 

Size of household Ref.=1–2

       

3–8

0.067

1.070

0.105

0.521

-0.138

0.273

 

9+

-0.235

0.790

0.141

0.096

-0.512

0.042

 

Wealth rank Ref.=First

      

Second

0.106

1.112

0.111

0.341

-0.112

0.324

 

Third

0.526

1.692

0.101

0.000

0.327

0.725

***

Fourth

0.583

1.792

0.090

0.000

0.407

0.760

***

Fifth

1.457

4.291

0.084

0.000

1.291

1.622

***

Household Condition Ref.=Poor

      

Fair

0.944

2.570

0.092

0.000

0.763

1.125

***

Good

1.913

6.774

0.104

0.000

1.710

2.116

***

Very good

2.500

12.186

0.179

0.000

2.149

2.851

***

Pregnant Ref.=No

       

Yes

0.174

1.190

0.111

0.117

-0.044

0.392

 

Chronic disease Ref.=No

       

Yes

0.085

1.088

0.078

0.278

-0.068

0.238

 

_cons

-5.168

 

0.370

0.000

-5.892

-4.443

 
  1. * significant at 5%; ** significant at 1% ; *** significant at 0.1%.