Logistic regression analysis of preference and choice of healthcare providers in chronic diseases*
Parameter | Estimate | p Value | OR | 95% Wald CI | |
Lower limit | Upper limit | ||||
Y=1, drug stores | |||||
Sex (ref: female) | |||||
Male | 2.532 | 0.023 | 12.585 | 1.428 | 110.919 |
Annual medical expenses (ref: ≥10 000 CNY) | |||||
1000–4999 | −3.254 | 0.042 | 0.039 | 0.002 | 0.892 |
Short waiting times (ref: yes) | |||||
No | −2.639 | 0.015 | 0.071 | 0.009 | 0.595 |
Low medical costs (ref: yes) | |||||
No | −4.146 | 0.001 | 0.016 | 0.002 | 0.165 |
First-class medical technology (ref: yes) | |||||
No | 1.965 | 0.026 | 7.135 | 1.266 | 40.203 |
Y=2, clinics | |||||
Low medical costs (ref: yes) | |||||
No | −4.806 | 0.000 | 0.008 | 0.001 | 0.091 |
Y=3, specialised hospitals | |||||
Sex (ref: female) | |||||
Male | −0.470 | 0.024 | 0.625 | 0.416 | 0.939 |
Occupation (ref: student) | |||||
Freelancer | 1.223 | 0.031 | 3.398 | 1.116 | 10.349 |
Civil servant | 1.595 | 0.027 | 4.928 | 1.202 | 20.206 |
Farmer | 1.321 | 0.035 | 3.746 | 1.097 | 12.786 |
Worker | 1.235 | 0.038 | 3.439 | 1.070 | 11.054 |
Personal preference (ref: yes) | |||||
No | 0.928 | 0.008 | 2.530 | 1.275 | 5.019 |
Close proximity (ref: yes) | |||||
No | 0.708 | 0.040 | 2.030 | 1.033 | 3.988 |
Y=4, community health facilities | |||||
Age (ref: ≥60 years) | |||||
50–59 | −1.072 | 0.019 | 0.342 | 0.140 | 0.836 |
Monthly incomes (ref: ≥8000 CNY) | |||||
<2000 | 1.533 | 0.038 | 4.630 | 1.089 | 19.695 |
Personal preference (ref: yes) | |||||
No | 1.528 | 0.000 | 4.607 | 2.049 | 10.358 |
Close proximity (ref: yes) | |||||
No | −1.943 | 0.000 | 0.143 | 0.080 | 0.255 |
Short waiting times (ref: yes) | |||||
No | −1.229 | 0.002 | 0.293 | 0.137 | 0.626 |
Low medical costs (ref: yes) | |||||
No | −2.581 | 0.000 | 0.076 | 0.024 | 0.241 |
First-class medical technology (ref: yes) | |||||
No | 3.391 | 0.000 | 29.698 | 11.493 | 76.745 |
Y=5, district hospitals | |||||
Monthly incomes (ref:≥8000 CNY) | |||||
<2000 | 1.133 | 0.045 | 3.106 | 1.024 | 9.418 |
2000–4999 | 1.094 | 0.040 | 2.985 | 1.053 | 8.464 |
Educational level (ref: master’s/doctorate) | |||||
Primary school | 2.181 | 0.006 | 8.856 | 1.872 | 41.906 |
Junior middle school | 1.993 | 0.006 | 7.334 | 1.754 | 30.664 |
Senior high school | 2.001 | 0.005 | 7.399 | 1.820 | 30.081 |
College | 1.469 | 0.038 | 4.346 | 1.087 | 17.369 |
Annual number of consultations with doctors (ref: ≥3) | |||||
0 | 0.925 | 0.004 | 2.521 | 1.354 | 4.696 |
Personal preference (ref: yes) | |||||
No | 1.273 | 0.000 | 3.570 | 2.016 | 6.323 |
Close proximity (ref: yes) | |||||
No | −1.370 | 0.000 | 0.254 | 0.164 | 0.393 |
First-class medical technology (ref: yes) | |||||
No | 1.377 | 0.000 | 3.963 | 2.588 | 6.067 |
*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.