Logistic regression analysis of preference and choice of healthcare providers in serious diseases*
| Parameter | Estimate | p Value | OR | 95% Wald CI | |
| Lower limit | Upper limit | ||||
| Y=3, specialised hospitals | |||||
| Educational level (ref: master’s/doctorate) | |||||
| Junior middle school | 1.235 | 0.018 | 3.439 | 1.231 | 9.612 |
| Medical cost burden (ref: can entirely undertake) | |||||
| Cannot undertake | 1.201 | 0.001 | 3.322 | 1.612 | 6.847 |
| Can mainly undertake | 0.671 | 0.044 | 1.957 | 1.017 | 3.763 |
| A good environment (ref: yes) | |||||
| No | 0.686 | 0.009 | 1.986 | 1.185 | 3.327 |
| Y=4, community health facilities | |||||
| Short waiting times (ref: yes) | |||||
| No | −1.714 | 0.002 | 0.180 | 0.061 | 0.535 |
| First-class medical technology (ref: yes) | |||||
| No | 3.060 | 0.000 | 21.333 | 6.105 | 74.548 |
| Y=5, district hospitals | |||||
| Annual medical expenses (ref: ≥10 000 CNY) | |||||
| <1000 | 1.622 | 0.012 | 5.063 | 1.428 | 17.957 |
| 1,000–4999 | 1.282 | 0.038 | 3.602 | 1.075 | 12.073 |
| 5,000–9999 | 1.720 | 0.012 | 5.583 | 1.453 | 21.451 |
| Medical cost burden (ref: can entirely undertake) | |||||
| Cannot undertake | 2.102 | 0.008 | 8.181 | 1.716 | 39.015 |
| Can mainly undertake | 1.536 | 0.043 | 4.647 | 1.048 | 20.602 |
| Close proximity (ref: yes) | |||||
| No | −1.253 | 0.000 | 0.286 | 0.161 | 0.507 |
| First-class medical technology (ref: yes) | |||||
| No | 2.038 | 0.000 | 7.676 | 4.048 | 14.557 |
*The multinomial logistic regression analysis required to choose one classification of the dependent factor as the referred category, which was used to fit the logistic regression models of the other classifications of the dependent factor relative to this referred category. In this analysis, the referred category was defined as choosing general hospitals.