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Table 3 Multivariate Analysis of Cost of Inpatient Treatment (n = 452)

From: Medical expenditure for middle-aged and elderly in Beijing

 

Treatment

Transportation, food, accommodations

Medicine/supplies

Unofficial gifts

Lost income

Total

OOP

Gender (Male, reference group)

− 1821.9 (0.264)

− 370.4 (0.182)

− 722.9 (0.016)

− 306.8 (0.427)

− 771.7 (0.044)

− 3747.7 (0.086)

− 1554.1 (0.203)

Age group (45–50, reference group)

 51–60

2159.1 (0.307)

323.2 (0.369)

704.3 (0.070)

670.9 (0.181)

616.8 (0.214)

4505.4 (0.112)

2555.2 (0.101)

 61–70

3702.1 (0.210)

151.3 (0.763)

27.6 (0.959)

262.1 (0.708)

− 364.9 (0.599)

3737.5 (0.345)

850.3 (0.701)

  > 70

18,613.4 (0.000)

1540.9 (0.031)

456.1 (0.553)

127.5 (0.898)

2079.5 (0.035)

22,494.4 (0.000)

6029.4 (0.053)

Marital status (Single/Divorced/Widowed, reference group)

 Married

− 144.6 (0.957)

−71.9 (0.873)

− 2138.1 (0.000)

− 108.0 (0.863)

− 385.7 (0.535)

− 3323.8 (0.348)

34.5 (0.986)

Education (No schooling, reference group)

 Primary

10,756.5 (0.106)

849.1 (0.431)

618.4 (0.595)

105.1 (0.944)

272.7 (0.855)

16,169.5 (0.057)

822.0 (0.872)

 Junior high

12,274.0 (0.063)

819.8 (0.446)

1859.7 (0.109)

206.3 (0.890)

770.2 (0.604)

19,270.2 (0.023)

1074.0 (0.833)

 Senior high

15,824.2 (0.019)

819.9 (0.456)

336.6 (0.776)

−99.7 (0.948)

1338.2 (0.378)

21,439.6 (0.014)

411.3 (0.937)

 Junior college and above

16,111.9 (0.017)

495.0 (0.655)

264.8 (0.824)

32.7 (0.983)

1650.4 (0.280)

21,766.0 (0.013)

1826.1 (0.727)

Occupation (Government, reference group)

 Enterprise

5245.1 (0.206)

1196.2 (0.091)

− 295.8 (0.697)

1346.3 (0.172)

2266.4 (0.020)

9756.0 (0.080)

5424.7 (0.073)

 Farming

931.2 (0.859)

−442.9 (0.617)

− 1017.6 (0.286)

356.8 (0.772)

713.7 (0.559)

−391.4 (0.955)

− 1342.7 (0.723)

 Small private business

3145.6 (0.485)

349.0 (0.649)

25.0 (0.976)

238.5 (0.823)

722.0 (0.496)

4456.2 (0.461)

1984.9 (0.544)

Other

6579.2 (0.151)

588.1 (0.450)

− 454.0 (0.589)

415.7 (0.702)

1598.5 (0.138)

8610.4 (0.161)

2794.1 (0.400)

Retired

2389.0 (0.563)

452.9 (0.520)

− 916.0 (0.227)

34.6 (0.972)

1360.5 (0.162)

3282.1 (0.553)

1120.2 (0.713)

No job

4693.6 (0.390)

51.5 (0.956)

− 1128.4 (0.261)

630.8 (0.626)

2240.1 (0.082)

6885.9 (0.347)

3136.1 (0.439)

Area (Urban area, reference group)

 Rural area

1913.8 (0.300)

− 121.2 (0.700)

− 1438.2 (0.000)

−438.4 (0.317)

1065.9 (0.014)

895.3 (0.718)

1021.1 (0.461)

Type of hospital (Grade I, reference group)

 Grade II

− 1241.3 (0.615)

− 175.2 (0.677)

− 466.6 (0.303)

−452.7 (0.439)

− 549.7 (0.344)

− 2944.5 (0.373)

− 1998.2 (0.264)

 Grade III

4059.0 (0.088)

902.7 (0.026)

− 195.5 (0.654)

176.7 (0.754)

119.3 (0.831)

4959.0 (0.120)

2230.3 (0.192)

 Private

− 7876.7 (0.364)

1644.2 (0.266)

4004.7 (0.012)

607.2 (0.768)

−650.4 (0.750)

− 2180.8 (0.851)

1380.1 (0.820)

Chronic disease (No, reference group)

 Yes

3706.0 (0.154)

438.5 (0.322)

− 616.1 (0.197)

−99.5 (0.872)

150.0 (0.806)

3676.6 (0.291)

1322.6 (0.499)

Using health insurance (Yes, reference group)

 No

− 3889.1 (0.483)

− 643.6 (0.496)

−310.4 (0.760)

− 874.1 (0.507)

− 1747.2 (0.181)

− 7306.2 (0.326)

4006.0 (0.302)

Person times

15,853.1 (0.000)

1354.3 (0.000)

997.7 (0.002)

239.5 (0.558)

2106.4 (0.000)

20,338.8 (0.000)

4997.1 (0.001)

Per capita income (1 K Yuan)

33.1 (0.273)

8.5 (0.098)

9.4 (0.088)

18.2 (0.011)

20.8 (0.003)

88.3 (0.029)

29.8 (0.173)

  1. In each cell: estimated regression coefficient (p-value)