Table 4.
Binary logistic regression model predicting effectiveness of the chatbot.
| Coefficients | ORa (95% CI) | P value |
| Intercept | 0.87 (0.33-2.25) | .76 |
| Response complexity (technical language) | 2.73 (1.05-7.41) | .04 |
| Chatbot persona (“Doctor”) | 0.84 (0.25-2.72) | .76 |
| Chatbot persona (“Nursing Student”) | 0.52 (0.15-1.69) | .28 |
aOR: odds ratio.