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Table 4 Sensitivity analysis of the models in Table 2

From: The influence of cross-regional medical treatment on total medical expenses, medical insurance payments, and out-of-pocket expenses of patients with malignant tumors in Chinese low-income areas

Variable

M/N

(P25, P75)/%

Total medical expenses (reference = low)

Actual medical insurance payment level (reference = high)

The group with high out-of-pocket expenses

Middle

High

Low

Middle

P

AOR (95% CI)

P

AOR (95% CI)

P

AOR (95% CI)

P

AOR (95% CI)

P

AOR (95% CI)

Length of stay

5

(2, 11)

< 0.001

1.251* (1.238, 1.263)

< 0.001

1.506* (1.490,1.523)

< 0.001

0.988* (0.985, 0.992)

< 0.001

1.006* (1.003, 1.009)

< 0.001

1.106* (1.101, 1.110)

Age

 < 60

9819

39.6

0.010

1.097 (1.022, 1.176)

< 0.001

1.412* (1.295, 1.540)

< 0.001

1.619* (1.508, 1.737)

< 0.001

1.584* (1.480, 1.695)

< 0.001

1.244* (1.127, 1.374)

 ≥ 60 (reference)

14,984

60.4

Insurance type

 Urban and rural residents

8281

33.4

0.006

0.902* (0.839, 0.970)

< 0.001

0.801* (0.731, 0.877)

< 0.001

6.183* (5.713, 6.692)

< 0.001

2.649* (2.446, 2.869)

< 0.001

1.440* (1.301, 1.593)

 Urban workers (reference)

16,522

66.6

Economic level

 High

15,776

63.6

< 0.001

2.608* (2.357, 2.887)

< 0.001

15.509* (13.274, 18.120)

< 0.001

2.551* (2.286, 2.847)

< 0.001

1.279* (1.166, 1.404)

< 0.001

8.375* (6.576, 10.667)

 Middle

5974

24.1

0.070

0.905 (0.813, 1.008)

< 0.001

2.129* (1.087, 2.510)

< 0.001

3.109* (2.752, 3.513)

< 0.001

1.713* (1.540, 1.905)

< 0.001

5.159* (3.994, 6.662)

 Low (reference)

3053

12.3

          
  1. This table contained the results of three models after adding the length of stay variable and “*” indicated significant at the 0.01 level