Table 6

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

ParameterEstimatep ValueOR95% Wald CI
Lower limitUpper limit
Y=3, specialised hospitals
Educational level (ref: master’s/doctorate)
 Junior middle school1.2350.0183.4391.2319.612
Medical cost burden (ref: can entirely undertake)
 Cannot undertake1.2010.0013.3221.6126.847
 Can mainly undertake0.6710.0441.9571.0173.763
A good environment (ref: yes)
 No0.6860.0091.9861.1853.327
Y=4, community health facilities
Short waiting times (ref: yes)
 No−1.7140.0020.1800.0610.535
First-class medical technology (ref: yes)
 No3.0600.00021.3336.10574.548
Y=5, district hospitals
Annual medical expenses (ref: ≥10 000 CNY)
 <10001.6220.0125.0631.42817.957
 1,000–49991.2820.0383.6021.07512.073
 5,000–99991.7200.0125.5831.45321.451
Medical cost burden (ref: can entirely undertake)
 Cannot undertake2.1020.0088.1811.71639.015
 Can mainly undertake1.5360.0434.6471.04820.602
Close proximity (ref: yes)
 No−1.2530.0000.2860.1610.507
First-class medical technology (ref: yes)
 No2.0380.0007.6764.04814.557
  • *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.