Table 9.
Attributes and levels of acute infectious diseases (LC).
| Class 1 (n = 2,668%) | Class 2 (n = 731%) | Class 3 (n = 442%) | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Attributes levels | Coefficient | Standard error | OR (95%CI) | WTP (CNY) | Coefficient | Standard error | OR (95%CI) | WTP (CNY) | Coefficient | Standard error | OR (95%CI) | WTP (CNY) |
| Hospital level | ||||||||||||
| Tertiary hospital | 0.249*** | 0.019 | Reference | Refere nce | 0.243** | 0.080 | Reference | Reference | 0.480*** | 0.055 | Reference | Reference |
| Secondary hospital | 0.114*** | 0.018 | 0.874 (0.843–0.905) | 23,798.7 | -0.024 | 0.073 | 0.766 (0.664–0.883) | 10,638.7 | 0.260*** | 0.057 | 0.802 (0.717–0.898) | 8,820.7 |
| Community hospital | -0.162*** | 0.019 | 0.663 (0.639–0.688) | 72,332.5 | 0.197** | 0.073 | 0.955 (0.827–1.102) | 1,845.5 | -0.391*** | 0.063 | 0.419 (0.370–0.474) | 34,9078 |
| Private hospital | -0.201*** | 0.018 | 0.638 (0.616–0.662) | 79,1560 | -0.416*** | 0.075 | 0.518 (0.446–0.600) | 26,2761 | -0.349*** | 0.062 | 0.437 (0.387–0.493) | 33,2235 |
| Distance | ||||||||||||
| Within the county/district | 0.138*** | 0.019 | Reference | Reference | 0.105 | 0.073 | Reference | Reference | 0.256*** | 0.058 | Reference | Reference |
| Within the city | 0.055** | 0.019 | 0.920 (0.887–0.955) | −9,677.1 | 0.083 | 0.079 | 0.978 (0.838–1.142) | −3,314.7 | 0.232*** | 0.057 | 0.976 (0.872–1.093) | -9,297.0 |
| Within the province | -0.027 | 0.018 | 0.848 (0.818–0.879) | 29,064.4 | 0.185* | 0.074 | 1.084 (0.938–1.252) | −3,201.4 | -0.040 | 0.059 | 0.744 (0.663–0.835) | 11,842.4 |
| Across the province | -0.166*** | 0.018 | 0.738 (0.712–0.765) | 53,539.4 | -0.374*** | 0.075 | 0.620 (0.534–0.718) | 19,101.9 | -0.448*** | 0.063 | 0.494 (0.437–0.559) | 28,230.7 |
| Class 1 (n = 316%) | Class 2 (n = 2,631%) | Class 3 (n = 894%) | ||||||||||
| Attributes levels | Coefficient | Standard error | OR (95%CI) | WTP (CNY) | Coefficient | Standard error | OR (95%CI) | WTP (CNY) | Coefficient | Standard error | OR (95%CI) | WTP (CNY) |
| Care provider | ||||||||||||
| Resident | -0.055** | 0.018 | Reference | Reference | 0.001 | 0.076 | Reference | Reference | 0.009 | 0.058 | Reference | Reference |
| Attending physician | -0.032 | 0.019 | 0.916 (0.883–0.950) | 15,442. | 0.033 0.126 | 0.076 | 1.032 (0.890–1.197) | −1,266. 2 | 0.071 | 0.058 | 1.064 (0.949–1.193) | −2,496. 5 |
| Associate chief physician | -0.014 | 0.019 | 0.933 (0.899–0.968) | 7 12,248. |
-0.160* | 0.074 | 1.132 (0.979–1.310) | -4,957. 8 | -0.026 | 0.059 | 0.966 (0.861–1.084) | 1,384.0 |
| Consultant/chief physician | -0.009 | 0.018 | 0.938 (0.905–0.973) | 4 11,251.4 |
0.071 | 0.851 (0.740–0.978) | 6,448.0 | -0.055 | 0.059 | 0.938 (0.835–1.054) | 2,556.5 | |
| Waiting time | ||||||||||||
| No need to wait | 0.017 | 0.022 | Reference | 1,601.4 | 4.541*** | 0.159 | Reference | 30,289.4 | 1.450*** | 0.061 | Reference | 8,092.8 |
| 3 days | 0.094*** | 0.022 | 1.080 (1.035–1.128) | 2.481*** | 0.120 | 0.127 (0.101–0.161) | 0.473*** | 0.064 | 0.377 (0.332–0.427) | |||
| 6 days | -0.012 | 0.022 | 0.972 (0.931–1.014) | -0.411*** | 0.092 | 0.007 (0.006–0.008) | -0.293*** | 0.072 | 0.175 (0.152–0.201) | |||
| 9 days | -0.006 | 0.022 | 0.978 (0.937–1.020) | -2.042*** | 0.106 | 0.001 (0.001–0.002) | -0.658*** | 0.078 | 0.121 (0.104–0.141) | |||
| 12 days | -0.092*** | 0.022 | 0.897 (0.860–0.935) | -4.569*** | 0.154 | 0.000 (0.000–0.000) | -0.973*** | 0.085 | 0.089 (0.075–0.105) | |||
| Cost (CNY) | ||||||||||||
| 300 | -0.001 | 0.019 | Reference | 0.374*** | 0.074 | Reference | 0.192*** | 0.057 | Reference | |||
| 600 | 0.051** | 0.019 | 1.053 (1.015–1.092) | 0.039 | 0.079 | 0.715 (0.613–0.835) | 0.049 | 0.059 | 0.867 (0.772–0.973) | |||
| 900 | 0.037* | 0.018 | 1.039 (1.002–1.077) | -0.410*** | 0.078 | 0.457 (0.392–0.532) | -0.060 | 0.059 | 0.777 (0.692–0.873) | |||
| 1,200 | -0.086*** | 0.018 | 0.918 (0.918–0.952) | -0.002 | 0.072 | 0.687 (0.687–0.791) | -0.182** | 0.060 | 0.688 (0.688–0.774) | |||
| Medical insurance reimbursement | ||||||||||||
| 0 | −0.618*** | 0.026 | Reference | 0.022 | Reference | −0.742*** | 0.087 | Reference | −628.1 | |||
| 20% | −0.366*** | 0.025 | 1.287 (1.227–1.351) | −2,134.9 | −0.457*** | 0.099 | 0.620 (0.503–0.763) | −74.1 | −0.360*** | 0.082 | 1.465 (1.247–1.72) 0) | |
| 40% | −0.158*** | 0.024 | 1.585 (1.511–1.662) | −0.213* | 0.106 | 0.791 (0.659–0.949) | −0.286*** | 0.079 | 1.578 (1.351–1.84)3) | |||
| 60% | 0.173*** | 0.025 | 2.206 (2.102–2.316) | 0.060 | 0.093 | 1.038 (0.842–1.281) | 0.199** | 0.075 | 2.561 (2.211–2.96)6) | |||
| 80% | 0.374*** | 0.024 | 2.698 (2.572–2.830) | 0.380*** | 0.107 | 1.431 (1.180–1.737) | 0.364*** | 0.074 | 3.021 (2.613–3.49)1) | |||
| 100% | 0.594*** | 0.025 | 3.359 (3.196–3.530) | 0.208* | 0.099 0.098 |
1.204 (0.994–1.460) | 0.825*** | 0.071 | 4.791 (4.171–5.50)2) | |||
| Influence factors | N | % | P valve | N | % | P valve | N | % | P valve | |||
| Sex | 0.345 | 0.000 | ||||||||||
| Male | 1,396 | 72.974 | Reference | 386 | 20.178 | 131 | 6.848 | |||||
| Female | 1,266 | 66.075 | 341 | 17.797 | 309 | 16.127 | ||||||
| Other | 6 | 50.000 | 4 | 33.333 | 2 | 16.667 | ||||||
| Age | 0.000 | 0.007 | ||||||||||
| Under 18 | 113 | 77.931 | 23 | 15.862 | 9 | 6.207 | ||||||
| 18–25 | 1,056 | 70.968 | 223 | 14.987 | 209 | 14.046 | ||||||
| 26–35 | 792 | 71.095 | 186 | 16.697 | 136 | 12.208 | ||||||
| 36–45 | 446 | 72.052 | 120 | 19.386 | 53 | 8.562 | ||||||
| 46–55 | 177 | 63.899 | 74 | 26.715 | 26 | 9.386 | ||||||
| 56–60 | 58 | 54.717 | 41 | 38.679 | 7 | 6.604 | ||||||
| Above 60 | 26 | 28.261 | 64 | 69.565 | 2 | 2.174 | ||||||
| Educational background | 0.000 | 0.000 | ||||||||||
| Middle School education or below | 217 | 62.536 | 109 | 31.412 | 21 | 6.052 | ||||||
| High School education | 388 | 71.193 | 95 | 17.431 | 62 | 11.376 | ||||||
| Vocational school education | 603 | 75.093 | 132 | 16.438 | 68 | 8.468 | ||||||
| Bachelor's degree | 1,208 | 66.962 | 344 | 19.069 | 252 | 13.969 | ||||||
| Master's degree | 162 | 66.122 | 47 | 19.184 | 36 | 14.694 | ||||||
| PhD degree | 18 | 72.000 | 4 | 16.000 | 3 | 12.000 | ||||||
| Registered Residence | 0.007 | 0.1 | ||||||||||
| Rural | 1,611 | 68.817 | 482 | 20.589 | 248 | 10.594 | ||||||
| Urban | 1,057 | 70.467 | 249 | 16.600 | 194 | 12.933 | ||||||
| Monthly income (CNY) | 0.002 | 0.000 | ||||||||||
| Under 5,000 | 1,127 | 64.807 | 366 | 21.047 | 246 | 14.146 | ||||||
| 5,000–10,000 | 1,158 | 72.647 | 273 | 17.127 | 163 | 10.226 | ||||||
| 10,001–20,000 | 323 | 75.467 | 75 | 17.523 | 30 | 7.009 | ||||||
| More than 20,000 | 54 | 76.056 | 15 | 21.127 | 2 | 2.817 | ||||||
| Insurance type | 0.142 | 0.367 | ||||||||||
| URRBMI | 1,595 | 69.197 | 432 | 18.742 | 278 | 12.061 | ||||||
| UEBMI | 958 | 69.320 | 276 | 19.971 | 148 | 10.709 | ||||||
| Other Commercial Insurance | 83 | 79.808 | 12 | 11.538 | 9 | 8.654 | ||||||
| No Insurance | 32 | 64.000 | 11 | 22.000 | 7 | 14.000 | ||||||
***
p < 0.001
**
p < 0.01, and
*
p < 0.05.