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

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)

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)

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)

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