Figures & data
Table 1 DCE Attributes and Attribute Levels
Table 2 An Example of a Choice Set from the Discrete Choice Experiment
Table 3 Characteristics of Participants
Figure 1 Results mixed logit model.
Notes: (i) *Coefficients are significant at p<0.05; (ii) The vertical bar surrounding each mean preference weight denotes the 95% confidence interval for the point estimate; (iii) “OOP cost per visit” coefficient fixed, it indicates the size of the utility for each additional CNY.
Abbreviation: RI, relative importance.
![Figure 1 Results mixed logit model.Notes: (i) *Coefficients are significant at p<0.05; (ii) The vertical bar surrounding each mean preference weight denotes the 95% confidence interval for the point estimate; (iii) “OOP cost per visit” coefficient fixed, it indicates the size of the utility for each additional CNY.Abbreviation: RI, relative importance.](/cms/asset/31b0ec6f-67d4-4512-a76a-c57b03909aa7/dppa_a_12178548_f0001_c.jpg)
Figure 2 Latent Class model estimates: Likelihood of preferring PHCS scenario for each latent class (OR with 95% CI).
![Figure 2 Latent Class model estimates: Likelihood of preferring PHCS scenario for each latent class (OR with 95% CI).](/cms/asset/509dfec8-b621-483e-aaa9-55be23158d49/dppa_a_12178548_f0002_b.jpg)