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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.