Logistic regression analysis of preference and choice of healthcare providers in mild illness*
Parameter | Estimate | p Value | OR | 95% Wald CI | |
Lower limit | Upper limit | ||||
Y=1, drug stores | |||||
Occupation (ref: student) | |||||
Freelancer | 1.879 | 0.016 | 6.544 | 1.421 | 30.132 |
Farmer | 2.351 | 0.009 | 10.492 | 1.781 | 61.807 |
Age (ref:≥60 years) | |||||
<20 | 2.425 | 0.022 | 11.303 | 1.418 | 90.115 |
Educational level (ref: master’s/doctorate) | |||||
Primary school | −2.564 | 0.015 | 0.077 | 0.010 | 0.608 |
Junior middle school | −1.597 | 0.040 | 0.202 | 0.044 | 0.931 |
Senior high school | −1.745 | 0.016 | 0.175 | 0.042 | 0.724 |
College | −2.248 | 0.003 | 0.106 | 0.024 | 0.463 |
Undergraduate | −1.258 | 0.048 | 0.284 | 0.082 | 0.990 |
Low medical costs (ref: yes) | |||||
No | −1.513 | 0.012 | 0.220 | 0.068 | 0.714 |
First-class medical technology (ref: yes) | |||||
No | 2.506 | 0.000 | 12.258 | 3.393 | 44.280 |
Y=2, clinics | |||||
Age (ref: ≥60 years) | |||||
<20 | 3.138 | 0.021 | 23.054 | 1.616 | 328.854 |
30–39 | 2.168 | 0.044 | 8.742 | 1.063 | 71.905 |
Short waiting times (ref: yes) | |||||
No | −1.115 | 0.030 | 0.328 | 0.120 | 0.896 |
Low medical costs (ref: yes) | |||||
No | −1.615 | 0.005 | 0.199 | 0.064 | 0.621 |
First-class medical technology (ref: yes) | |||||
No | 1.684 | 0.004 | 5.390 | 1.735 | 16.743 |
Y=3, specialised hospitals | |||||
Occupation (ref: student) | |||||
Soldier | 3.821 | 0.008 | 45.666 | 2.748 | 758.748 |
Civil servant | 2.981 | 0.017 | 19.705 | 1.688 | 230.016 |
Personal preference (ref: yes) | |||||
No | 0.974 | 0.038 | 2.648 | 1.053 | 0.655 |
Close proximity (ref: yes) | |||||
No | 1.039 | 0.016 | 2.827 | 1.210 | 0.607 |
Y=4, community health facilities | |||||
Sex (ref: female) | |||||
Male | 0.643 | 0.001 | 1.902 | 1.297 | 2.788 |
Personal preference (ref: yes) | |||||
No | 0.789 | 0.002 | 2.200 | 1.331 | 3.637 |
Close proximity (ref: yes) | |||||
No | −1.324 | 0.000 | 0.266 | 0.175 | 0.404 |
Short waiting times (ref: yes) | |||||
No | −1.112 | 0.000 | 0.329 | 0.185 | 0.584 |
Low medical costs (ref: yes) | |||||
No | −1.376 | 0.001 | 0.253 | 0.111 | 0.575 |
A good environment (ref: yes) | |||||
No | 0.727 | 0.036 | 2.068 | 1.049 | 4.077 |
First-class medical technology (ref: yes) | |||||
No | 2.118 | 0.000 | 8.311 | 4.655 | 14.837 |
Y=5, district hospitals | |||||
Educational level (ref: master’s/doctorate) | |||||
Junior middle school | 1.486 | 0.014 | 4.421 | 1.345 | 14.535 |
Senior high school | 1.382 | 0.018 | 3.982 | 1.271 | 12.477 |
College | 1.122 | 0.049 | 3.071 | 1.003 | 9.404 |
Personal preference (ref: yes) | |||||
No | 0.680 | 0.011 | 1.973 | 1.165 | 3.341 |
Close proximity (ref: yes) | |||||
No | −1.333 | 0.000 | 0.264 | 0.171 | 0.407 |
Short waiting times (ref: yes) | |||||
No | −0.745 | 0.019 | 0.475 | 0.254 | 0.887 |
First-class medical technology (ref: yes) | |||||
No | 0.939 | 0.000 | 2.557 | 1.556 | 4.201 |
*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.