Table 3 The generalised estimating equation analysis of reimbursement ratio
Parameter | B | Std.Error | 95% wald confidence Internal | hypothesis test | |||
|---|---|---|---|---|---|---|---|
Lower | Upper | wald chi-square | df | p-value | |||
intercept | 11.876 | 8.858 | −5.486 | 29.238 | 1.797 | 1 | 0.180 |
[region = 1] | 21.074 | 3.556 | 14.104 | 28.043 | 35.124 | 1 | 0.000 |
[region = 2] | 10.397 | 3.511 | 3.516 | 17.278 | 8.770 | 1 | 0.003 |
[region = 3] | 0a | ||||||
[gender = 1] | 38.345 | 7.054 | 24.519 | 52.170 | 29.549 | 1 | 0.000 |
[gender = 2] | 0a | ||||||
age | −2.587 | 2.046 | −6.598 | 1.424 | 1.598 | 1 | 0.206 |
[types of BMI = 1] | 15.129 | 3.252 | 8.756 | 21.503 | 21.649 | 1 | 0.000 |
[types of BMII = 2] | 0a | ||||||
[grades of medical institution = 0] | 7.901 | 3.409 | 1.219 | 14.583 | 5.371 | 1 | 0.020 |
[grades of medica linstitution = 1] | 15.348 | 3.952 | 7.602 | 23.093 | 15.083 | 1 | 0.000 |
[grades of medica linstitution = 2] | −0.060 | 3.004 | −5.948 | 5.828 | 0.000 | 1 | 0.984 |
[grades of medical institution = 3] | 0a | ||||||
[types of medical service = 1] | −3.431 | 2.951 | −9.214 | 2.353 | 1.352 | 1 | 0.245 |
[types of medical service = 2] | 0a | ||||||
medical expenses | 0.000 | 0.000 | 0.000 | 0.001 | 2.844 | 1 | 0.092 |
scale | 687.056 | ||||||