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Table 7 The contributions of each independent variable on the inequality in health service utilisation

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

 

UEBMI

URBMI

 

Outpatient visits

Inpatient visits

Outpatient visits

Inpatient visits

 

Insured

Uninsured

Insured

Uninsured

Insured

Uninsured

Insured

Uninsured

Female

0.0084 (6.8)

-0.0237 (38.5)

0.0033 (2.4)

0.0050 (1.7)

0.0000 (0.0)

0.0000 (0.0)

0.0010 (0.6)

0.0000 (0.0)

45-59

-0.0139 (-11.4)

0.0057 (-9.2)

-0.0009 (-0.7)

0.0046 (1.6)

-0.0021 (1.0)

0.0003 (0.3)

0.0006 (0.4)

0.0030 (0.9)

60+

-0.0077 (-6.3)

-0.0038 (6.1)

-0.0003 (-0.2)

-0.0006 (-0.2)

-0.0012 (0.6)

-0.0027 (-3.1)

-0.0013 (-0.8)

0.0002 (0.1)

Health status

0.0009 (0.7)

0.0024 (-3.9)

-0.0005 (-0.4)

0.0019 (0.7)

-0.0089 (4.3)

-0.0045 (-5.0)

-0.0083 (-5.2)

-0.0026 (-0.8)

Illness

0.0020 (1.5)

-0.0012 (-0.4)

-0.0036 (-2.3)

-0.0050 (-1.6)

Chronic disease

0.0093 (7.6)

0.0090 (-14.6)

0.0115 (8.4)

0.0128 (4.3)

-0.0367 (17.6)

-0.0004 (-0.4)

-0.0225 (-14.2)

-0.0002 (-0.1)

Annual personal expenditure

-0.0237 (-19.3)

-0.0412 (67.0)

0.0437 (31.9)

0.1292 (43.5)

-0.0088 (4.2)

-0.0511 (-57.2)

0.1353 (85.1)

0.1490 (47.2)

Married

-0.0100 (-8.2)

-0.0043 (7.0)

-0.0039 (-2.8)

-0.0070 (-2.4)

0.0018 (-0.9)

-0.0010 (-1.1)

0.0019 (1.2)

-0.0010 (-0.3)

Other married status

0.0000 (0.0)

0.0000 (-0.1)

0.0000 (0.0)

-0.0013 (0.6)

0.0003 (0.3)

0.0058 (3.6)

0.0017 (0.5)

Commercial health insurance

0.0265 (21.6)

-0.0007 (-0.5)

0.0184 (6.2)

0.0309 (-14.8)

0.0012 (1.3)

-0.0026 (-1.6)

0.0082 (2.6)

Household population

0.0264 (21.6)

0.0297 (-48.3)

-0.0075 (-5.5)

0.0171 (5.8)

-0.0032 (1.5)

0.0162 (18.1)

-0.0044 (-2.8)

0.0004 (0.1)

Distance to the nearest health institution

0.0030 (2.4)

-0.0240 (39.0)

0.0006 (0.4)

-0.0109 (-3.7)

-0.0061 (2.9)

-0.0088 (-9.8)

-0.0003 (-0.2)

0.0063 (2.0)

  1. Note: The proportions of each variable’s contribution in the concentration index of health service utilisation are in the parentheses.