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Table 6 The estimated partial coefficients in the negative binomial models

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 0.038 (0.038) -0.044* (0.026) 0.007 (0.009) 0.007 (0.013) <0.001 (0.015) -0.033 (0.022) 0.017 (0.013) 0.011 (0.007)
45-59 0.058 (0.050) -0.040* (0.023) 0.002 (0.011) -0.023 (0.015) 0.034 (0.028) -0.003 (0.022) -0.004 (0.015) -0.011 (0.007)
60+ -0.044 (0.038) 0.025 (0.041) -0.001 (0.010) 0.003 (0.018) 0.006 (0.024) 0.015 (0.033) 0.002 (0.019) 0.000 (0.010)
Health status 0.071 (0.100) -0.051 (0.056) -0.020 (0.016) -0.030 (0.020) -0.114*** (0.044) -0.060 (0.042) -0.039 (0.025) -0.013 (0.013)
Illness 0.022 (0.016) 0.027 (0.025) 0.018 (0.022) 0.030 (0.024)
Chronic disease 0.288* (0.167) 0.061 (0.058) 0.167*** (0.059) 0.063 (0.038) 0.149 (0.060) 0.139 (0.087) 0.034 (0.025) 0.022 (0.021)
Annual personal expenditure -0.011 (0.038) -0.010 (0.017) 0.010 (0.008) 0.022* (0.012) -0.004 (0.016) -0.014 (0.015) 0.023* (0.012) 0.015** (0.007)
Married -0.112 (0.118) 0.020 (0.027) -0.020 (0.027) 0.023** (0.012) 0.019 (0.025) 0.005 (0.024) 0.007 (0.017) 0.002 (0.008)
Other married status 0.009 (0.085) 0.001 (0.053) 0.001 (0.018) 0.008 (0.038) -0.004 (0.032) -0.014 (0.019) -0.010 (0.007)
Commercial health insurance 0.501 (0.536) -0.006 (0.015) 0.081 (0.074) 0.281 (0.196) 0.011 (0.061) -0.009 (0.021) 0.028 (0.033)
Household population -0.078 (0.057) -0.053* (0.031) 0.010 (0.010) -0.022 (0.015) -0.036* (0.018) -0.051** (0.024) -0.018 (0.015) 0.000 (0.009)
Distance to the nearest health institution 0.055* (0.034) 0.044** (0.021) 0.005 (0.007) 0.015 (0.011) 0.028** (0.012) 0.021 (0.016) 0.000 (0.009) -0.006 (0.006)
LR 24.7 20.51 56.77 30.64 85.95 34.47 27.57 32.62
P 0.010 0.025 <0.001 0.001 <0.001 <0.001 0.006 0.001
  1. Notes: Standard errors of partial coefficients are in the parentheses. *Significant at 10%, **Significant at 5%, and ***Significant at 1%. “—” means the variables are not included in the models.