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Table 4 Multivariate Analysis of Cost of Outpatient Treatment (n = 734)

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)

−408.9 (0.235)

40.2 (0.610)

161.4 (0.293)

44.4 (0.553)

− 141.7 (0.385)

− 512.3 (0.363)

−261.9 (0.582)

Age group (45–50, reference group)

 51–60

110.3 (0.797)

−134.9 (0.169)

382.5 (0.045)

−3.8 (0.967)

1.0 (0.996)

62.6 (0.929)

−88.8 (0.879)

 61–70

1439.8 (0.020)

− 122.5 (0.387)

967.1 (0.000)

16.6 (0.901)

− 236.4 (0.420)

1739.5 (0.085)

374.1 (0.665)

  > 70

1888.0 (0.047)

301.9 (0.166)

742.6 (0.080)

−46.3 (0.823)

407.4 (0.366)

2837.1 (0.068)

1722.1 (0.199)

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

 Married

108.2 (0.855)

41.8 (0.758)

− 519.8 (0.049)

−56.2 (0.661)

−35.0 (0.900)

− 692.1 (0.474)

− 1110.7 (0.175)

Education (No schooling, reference group)

 Primary

− 412.3 (0.797)

− 1251.8 (0.001)

−88.3 (0.902)

− 284.8 (0.415)

− 4102.6 (0.000)

− 5792.6 (0.028)

− 5184.9 (0.025)

 Junior high

637.3 (0.689)

− 801.2 (0.028)

147.3 (0.836)

− 183.7 (0.595)

− 3823.1 (0.000)

− 3651.5 (0.161)

− 4018.8 (0.080)

 Senior high

−19.3 (0.991)

− 886.5 (0.018)

−85.1 (0.907)

−50.7 (0.886)

− 3785.7 (0.000)

− 4238.0 (0.111)

− 4444.2 (0.056)

Junior college and above

− 683.3 (0.676)

−959.0 (0.011)

103.0 (0.888)

−99.3 (0.780)

− 3545.0 (0.000)

− 4456.6 (0.096)

− 3556.5 (0.129)

Occupation (Government, reference group)

 Enterprise

503.5 (0.511)

93.0 (0.597)

311.9 (0.362)

−48.2 (0.772)

− 296.8 (0.415)

571.9 (0.649)

1139.5 (0.272)

 Farming

− 1634.0 (0.122)

− 421.5 (0.082)

− 356.6 (0.450)

156.8 (0.495)

− 357.8 (0.476)

− 1944.8 (0261)

− 658.0 (0.644)

 Small private business

−0.6 (0.999)

− 155.6 (0.429)

− 226.0 (0.555)

− 30.5 (0.870)

−315.1 (0.439)

−425.8 (0.762)

− 165.6 (0.885)

 Other

144.2 (0.869)

− 177.1 (0.378)

69.0 (0. 860)

54.7 (0.774)

−238.2 (0.566)

−69.1 (0.962)

396.5 (0.737)

 Retired

240.7 (0.760)

−128.3 (0.477)

−408.0 (0.245)

73.3 (0.668)

68.7 (0.854)

112.4 (0.930)

159.2 (0.881)

 No job

− 2494.6 (0.028)

− 432.2 (0.096)

− 630.8 (0.212)

66.3 (0.788)

− 769.4 (0.152)

− 2484.2 (0.180)

− 259.3 (0.872)

Area (Urban area, reference group)

 Rural area

61.6 (0.878)

−136.4 (0.138)

− 486.9 (0.007)

− 186.6 (0.032)

320.1 (0.092)

− 618.0 (0.346)

49.3 (0.928)

Type of hospital (Grade I, reference group)

 Grade II

− 395.2 (0.400)

6.9 (0.949)

− 392.2 (0.061)

43.3 (0.672)

− 298.4 (0.181)

− 980.8 (0.202)

− 455.9 (0.474)

 Grade III

288.6 (0.526)

114.1 (0.274)

− 352.7 (0.082)

−21.9 (0.825)

−53.1 (0.805)

−63.1 (0.932)

− 114.0 (0.856)

 Private

−365.9 (0.775)

−149.8 (0.610)

− 437.6 (0.444)

−6.6 (0.981)

− 643.4 (0.290)

− 1494.8 (0.476)

− 1081.2 (0.549)

Chronic disease (No, reference group)

 Yes

900.1 (0.043)

220.3 (0.031)

249.2 (0.209)

−56.9 (0.556)

30.3 (0.886)

1456.6 (0.046)

1240.3 (0.044)

Using health insurance (Yes, reference group)

 No

− 1031.7 (0.068)

−56.0 (0.666)

156.8 (0.535)

82.9 (0.501)

110.8 (0.680)

− 803.8 (0.386)

1451.1 (0.050)

Person times

289.0 (0.000)

48.5 (0.000)

24.1 (0.037)

10.8 (0.050)

9.4 (0.441)

388.0 (0.000)

175.2 (0.000)

Per capita income (1 K Yuan)

6.2 (0.173)

−1.3 (0.211)

7.8 (0.000)

1.0 (0.315)

3.4 (0.117)

17.7 (0.018)

15.0 (0.015)

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