Table 4.
Multivariable linear regression analysis of factors associated with behavioral intention to use mental health chatbots.
| Predictor | B | SE | 95% CI for B | p-value |
|---|---|---|---|---|
| Age | 0.016 | 0.008 | 0.002–0.031 | 0.030 |
| Gender | −0.134 | 0.201 | −0.528 to 0.260 | 0.504 |
| Education | −0.035 | 0.093 | −0.218 to 0.147 | 0.704 |
| Current psychological symptoms | 0.141 | 0.172 | −0.197 to 0.480 | 0.412 |
| Needed psychological consultation/support | 0.437 | 0.175 | 0.093–0.780 | 0.013 |
| Ever used a mental health chatbot | 0.148 | 0.175 | −0.197 to 0.492 | 0.401 |
| Perceived usefulness (PU) | 0.263 | 0.032 | 0.199–0.326 | <0.001 |
| Perceived ease of use (PEOU) | 0.186 | 0.037 | 0.113–0.259 | <0.001 |
| Social influence (SI) | 0.248 | 0.045 | 0.160–0.336 | <0.001 |
| Perceived self-efficacy (PSE) | 0.068 | 0.048 | −0.026–0.161 | 0.158 |
| Perceived barriers (PB) | 0.009 | 0.018 | −0.028 to 0.045 | 0.635 |