Table 6 Results of binary logistic regression models by participants’ intentions to use antibiotics in fever
| Â | Model 1 OR(95%CI) | Model 2 OR(95%CI) | Model 3 OR(95%CI) |
|---|---|---|---|
Group | |||
 Non-IERPs | 1.00 | / | / |
 IERPs * Urban | 0.92 (0.77,1.09) | / | / |
 IERPs * Rural | 1.22 (1.04,1.43)* | / | / |
Group | |||
 Non-IERPs | / | 1.00 | / |
 IERPs * High-education | / | 0.74 (0.60,0.92)** | / |
 IERPs * Low-education | / | 1.25 (1.09,1.44)** | / |
Group | |||
 Non-IERPs | / | / | 1.00 |
 IERPs * High-income | / | / | 1.02 (0.87,1.19) |
 IERPs * Low-income | / | / | 1.15 (0.96,1.40) |
Residence | |||
 Rural | / | 1.00 | 1.00 |
 Urban | / | 0.88 (0.78,1.01) | 0.94 (0.82,1.06) |
Education level | |||
 Low-education | 1.00 | / | 1.00 |
 High-education | 0.72 (0.63,0.83)*** | / | 0.73 (0.63,0.83)*** |
Household income per month | |||
 Low-income | 1.00 | 1.00 | / |
 High-income | 1.01 (0.88,1.16) | 0.96 (0.83,1.11) | / |