Table 5

Logistic regression analysis of preference and choice of healthcare providers in chronic diseases*

ParameterEstimatep ValueOR95% Wald CI
Lower limitUpper limit
Y=1, drug stores
Sex (ref: female)
 Male2.5320.02312.5851.428110.919
Annual medical expenses (ref: ≥10 000 CNY)
 1000–4999−3.2540.0420.0390.0020.892
Short waiting times (ref: yes)
 No−2.6390.0150.0710.0090.595
Low medical costs (ref: yes)
 No−4.1460.0010.0160.0020.165
First-class medical technology (ref: yes)
 No1.9650.0267.1351.26640.203
Y=2, clinics
Low medical costs (ref: yes)
 No−4.8060.0000.0080.0010.091
Y=3, specialised hospitals
Sex (ref: female)
 Male−0.4700.0240.6250.4160.939
Occupation (ref: student)
 Freelancer1.2230.0313.3981.11610.349
 Civil servant1.5950.0274.9281.20220.206
 Farmer1.3210.0353.7461.09712.786
 Worker1.2350.0383.4391.07011.054
Personal preference (ref: yes)
 No0.9280.0082.5301.2755.019
Close proximity (ref: yes)
 No0.7080.0402.0301.0333.988
Y=4, community health facilities
Age (ref: ≥60 years)
 50–59−1.0720.0190.3420.1400.836
Monthly incomes (ref: ≥8000 CNY)
 <20001.5330.0384.6301.08919.695
Personal preference (ref: yes)
 No1.5280.0004.6072.04910.358
Close proximity (ref: yes)
 No−1.9430.0000.1430.0800.255
Short waiting times (ref: yes)
 No−1.2290.0020.2930.1370.626
Low medical costs (ref: yes)
 No−2.5810.0000.0760.0240.241
First-class medical technology (ref: yes)
 No3.3910.00029.69811.49376.745
Y=5, district hospitals
Monthly incomes (ref:≥8000 CNY)
 <20001.1330.0453.1061.0249.418
 2000–49991.0940.0402.9851.0538.464
Educational level (ref: master’s/doctorate)
 Primary school2.1810.0068.8561.87241.906
 Junior middle school1.9930.0067.3341.75430.664
 Senior high school2.0010.0057.3991.82030.081
 College1.4690.0384.3461.08717.369
Annual number of consultations with doctors (ref: ≥3)
 00.9250.0042.5211.3544.696
Personal preference (ref: yes)
 No1.2730.0003.5702.0166.323
Close proximity (ref: yes)
 No−1.3700.0000.2540.1640.393
First-class medical technology (ref: yes)
 No1.3770.0003.9632.5886.067
  • *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.