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Table 5 Description of dependent variables, need variables and control variables in negative binomial models (mean/percent)

From: The effects of China’s urban basic medical insurance schemes on the equity of health service utilisation: evidence from Shaanxi Province

 

UEBMI

URBMI

 

Insured

Uninsured

Insured

Uninsured

Dependent variable

    

 Outpatient visit rate (%)

13.02

7.69

12.74

7.93

 Inpatient visit rate (%)

6.11

5.52

4.68

2.99

Need variables

    

 Female

47.3

50.5

58.5

58.5

 45-59

34.1

36.7

23.5

23.0

 60+

16.8

15.0

16.4

16.5

 Health status

79.2

80.2

81.5

81.9

 Illness

12.9

12.8

12.3

10.2

 Chronic disease

16.6

17.0

18.7

16.0

Control variables

    

 Annual personal expenditure

7192

7322

6840

7026

 Married

82.6

81.9

63.5

61.5

 Other married status

8.5

8.3

10.8

11.6

 Commercial health insurance

5.1

4.3

4.7

4.0

 Household population

3.5

3.6

3.5

3.5

 Distance to the nearest health institution

10.0

8.8

9.8

9.5