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Table 2 Multinomial logistic regression of Chinese adults’ health care utilisation using pooled CHNS data 1993–2011

From: Urban-rural disparities in health care utilization among Chinese adults from 1993 to 2011

  Self-care Outpatient Inpatient
RRR RRR RRR
HUKOU: Urban 3.240** 2.234* 4.768***
(1.671) (0.942) (2.557)
Wave: 1997 3.720*** 3.193*** 1.494
(1.473) (0.982) (0.679)
Wave: 2000 2.574** 2.053*** 1.045
(0.962) (0.572) (0.451)
Wave: 2004 2.772*** 0.913 0.275***
(0.891) (0.211) (0.103)
Wave: 2006 2.826*** 1.142 0.339***
(0.934) (0.276) (0.133)
Wave: 2009 3.822*** 1.390 0.583
(1.318) (0.359) (0.240)
Wave: 2011 4.102*** 1.394 0.896
(1.428) (0.365) (0.367)
Urban*1997 0.826 0.540 0.545
(0.553) (0.315) (0.394)
Urban*2000 0.789 0.553 0.206**
(0.479) (0.282) (0.142)
Urban*2004 0.589 0.489# 0.270**
(0.314) (0.216) (0.162)
Urban*2006 0.846 0.666 0.507
(0.468) (0.308) (0.315)
Urban*2009 0.347* 0.262*** 0.145***
(0.189) (0.119) (0.087)
Urban*2011 0.333** 0.355** 0.096***
(0.183) (0.162) (0.058)
Health need factors
How severe was the illness or injury: Somewhat severe 1.417*** 2.351*** 5.715***
(0.115) (0.177) (0.837)
How severe was the illness or injury: Quite severe 1.920*** 4.411*** 46.940***
(0.349) (0.746) (9.877)
Diseases history: Yes 1.213** 1.371*** 1.636***
(0.113) (0.119) (0.206)
Predisposing factors
Age 0.995# 0.995# 1.002
(0.003) (0.003) (0.005)
Gender: male 0.974 1.032 0.825*
(0.080) (0.079) (0.095)
Marital status: married 0.831* 0.727*** 0.800#
(0.079) (0.064) (0.113)
Health enabling factors
Education 1.030** 1.010 1.002
(0.012) (0.011) (0.016)
Household income per capita 1.000 1.000 1.000
(0.000) (0.000) (0.000)
Types of medical insurance: NCMS 1.090 1.254* 1.462*
(0.144) (0.150) (0.312)
Types of medical insurance: URBMI 1.301 1.579** 2.556***
(0.277) (0.313) (0.793)
Types of medical insurance: UEBMI 1.652** 1.297 3.432***
(0.324) (0.239) (0.993)
Types of medical insurance: others 1.384** 1.275* 2.241***
(0.216) (0.187) (0.486)
Province: Central 0.762*** 1.013 1.185
(0.078) (0.096) (0.171)
Province: North-eastern 1.158 0.569*** 0.690**
(0.136) (0.064) (0.127)
Province: Eastern 0.707*** 1.112 0.877
(0.0815) (0.117) (0.144)
Constant 0.611 3.056*** 0.129***
(0.216) (0.840) (0.0558)
Observations 10,079 10,079 10,079
R-squared 0.081
  1. Robust standard errors are reported in parenthesis; *** p < 0.01, ** p < 0.05, * p < 0.1, # p < 0.15