Table 3.
Logistic regression: relationships between variables and CHE after NCMS reimbursement
| |
B |
S.E. |
Wald |
df |
p-value |
Exp (B) |
95% C.I. for EXP(B) |
||
|---|---|---|---|---|---|---|---|---|---|
| Lower | Upper | ||||||||
| Hubei* |
H-income# |
|
|
33.119 |
4 |
0.000 |
|
|
|
| |
→ Poor |
-0.713 |
0.348 |
4.207 |
1 |
0.040 |
0.490 |
0.248 |
0.969 |
| |
→ Middle |
-2.375 |
0.533 |
19.865 |
1 |
0.000 |
0.093 |
0.033 |
0.264 |
| |
→ Rich |
-2.808 |
0.826 |
11.566 |
1 |
0.001 |
0.060 |
0.012 |
0.304 |
| |
→ Very rich |
-7.339 |
1.628 |
20.328 |
1 |
0.000 |
0.001 |
0.000 |
0.016 |
| |
H-chro |
0.850 |
0.210 |
16.391 |
1 |
0.000 |
2.339 |
1.550 |
3.529 |
| |
Op-OOP |
0.015 |
0.002 |
58.214 |
1 |
0.000 |
1.015 |
1.011 |
1.019 |
| |
Ip-OOP |
0.001 |
0.000 |
50.431 |
1 |
0.000 |
1.001 |
1.000 |
1.001 |
| |
Constant |
-2.378 |
0.266 |
79.885 |
1 |
0.000 |
0.093 |
|
|
| Chongqing** |
H-income# |
|
|
40.500 |
4 |
0.000 |
|
|
|
| |
→ Poor |
-1.759 |
0.370 |
22.546 |
1 |
0.000 |
0.172 |
0.083 |
0.356 |
| |
→ Middle |
-1.982 |
0.540 |
13.486 |
1 |
0.000 |
0.138 |
0.048 |
0.397 |
| |
→ Rich |
-3.865 |
1.134 |
11.618 |
1 |
0.001 |
0.021 |
0.002 |
0.194 |
| |
→ Very rich |
-7.955 |
2.148 |
13.709 |
1 |
0.000 |
0.000 |
0.000 |
0.024 |
| |
H-chro |
1.138 |
0.269 |
17.891 |
1 |
0.000 |
3.120 |
1.842 |
5.286 |
| |
Op-OOP |
0.012 |
0.002 |
42.400 |
1 |
0.000 |
1.012 |
1.008 |
1.016 |
| |
Ip-uti |
0.942 |
0.329 |
8.227 |
1 |
0.004 |
2.566 |
1.348 |
4.886 |
| |
Ip-OOP |
0.000 |
0.000 |
13.304 |
1 |
0.000 |
1.000 |
1.000 |
1.001 |
| |
Constant |
-2.300 |
0.322 |
51.045 |
1 |
0.000 |
0.100 |
|
|
| Zhejiang*** |
H-size |
-0.415 |
0.169 |
6.023 |
1 |
0.014 |
0.660 |
0.474 |
0.920 |
| |
H-income# |
|
|
11.202 |
4 |
0.024 |
|
|
|
| |
→ Poor |
-0.779 |
0.659 |
1.399 |
1 |
0.237 |
0.459 |
0.126 |
1.668 |
| |
→ Middle |
-1.185 |
0.759 |
2.438 |
1 |
0.118 |
0.306 |
0.069 |
1.353 |
| |
→ Rich |
-2.355 |
0.918 |
6.577 |
1 |
0.010 |
0.095 |
0.016 |
0.574 |
| |
→ Very rich |
-3.126 |
1.075 |
8.456 |
1 |
0.004 |
0.044 |
0.005 |
0.361 |
| |
H-chro |
1.282 |
0.307 |
17.425 |
1 |
0.000 |
3.603 |
1.974 |
6.578 |
| |
Op-OOP |
0.009 |
0.001 |
37.985 |
1 |
0.000 |
1.009 |
1.006 |
1.012 |
| |
Ip-uti |
1.711 |
0.488 |
12.298 |
1 |
0.000 |
5.532 |
2.127 |
14.390 |
| |
Ip-OOP |
0.000 |
0.000 |
7.753 |
1 |
0.005 |
1.000 |
1.000 |
1.000 |
| Constant | -1.982 | 0.545 | 13.211 | 1 | 0.000 | 0.138 | |||
* -2 Log likelihood is 307.754, Cox & Snell R Square is 0.529, and Nagelkerke R Square is 0.745;
**-2 Log likelihood is 260.598, Cox & Snell R Square is 0.473, and Nagelkerke R Square is 0.688;
***-2 Log likelihood is 142.552, Cox & Snell R Square is 0.437, and Nagelkerke R Square is 0.719;
#Reference group is the very poor quintile.