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Table 4 Estimation of preference heterogeneity from interaction-effects models

From: Investigating patients’ preferences for new anti-diabetic drugs to inform public health insurance coverage decisions: a discrete choice experiment in China

Interaction terms

Age

(Model 1)

 

Income

(Model 2)

 

Diabetes Complications

(Model 3)

Mean

SE

 

Mean

SE

 

Mean

SE

Improvement in HbA1c

  As expected

0.005

0.121

 

0.542***

0.136

 

0.152

0.141

Serious side effects

  Occasionally

0.358**

0.125

 

-0.001

0.124

 

0.184

0.129

  Never or rarely

-0.333**

0.116

 

0.025

0.117

 

-0.193

0.124

Extended life

  Extended life (per year)

0.030

0.122

 

0.122

0.132

 

0.404**

0.141

Change in HRQoL

  No improvement

0.178

0.131

 

-0.103

0.139

 

-0.208

0.142

  Improvement

0.249

0.184

 

0.145

0.172

 

0.402*

0.200

Dosing frequency

  Once every other day

0.076

0.121

 

0.126

0.123

 

0.106

0.126

  Once a week

0.027

0.128

 

0.160

0.126

 

-0.195

0.133

Out-of-pocket costs per month

  Cost (per CNY50)

-0.107**

0.040

 

-0.175***

0.042

 

-0.156***

0.043

  Log likelihood

-2586.191

 

-2580.122

 

-2586.387

  Observations

10,224

 

10,224

 

10,224

  1. Age, income, and diabetes complications were treated as categorical variables in interaction-effects models. Age: Young and middle-aged = 0, Elderly = 1; Income: More than CNY 6000 = 0, CNY 6000 and below = 1; Diabetes complications: Without = 0, With = 1; SE, standard error; *p < 0.05; **p < 0.01; ***p < 0.001