Table 5. Multivariable logistic regression analysis for acceptance toward speech and video recording in emergency medical practice in patients or caregivers.
| Model | Stepwise model | ||
|---|---|---|---|
| Characteristics | Adjusted OR (95% CI) | Adjusted OR (95% CI) | |
| Demographics | |||
| Age 35 years old and older | 1.11 (0.56–2.20) | - | |
| Male gender | 1.21 (0.60–2.48) | - | |
| Computer friendly | 0.95 (0.44–2.00) | - | |
| University-level education | 1.25 (0.60–2.60) | - | |
| Experienced in medical field | 1.63 (0.50–6.08) | - | |
| Chronic disease | 0.95 (0.40–2.37) | - | |
| Recent ED visit | 1.82 (0.81–4.33) | 1.76 (0.84–3.90) | |
| Prior knowledge and attitude | |||
| Prior knowledge of SVRT | 1.11 (0.54–2.29) | - | |
| Positive attitudes toward the rapid development of SVRT | 0.96 (0.43–2.07) | - | |
| Beliefs and thoughts | |||
| SVRT can enhance health care | 1.40 (0.52–3.70) | - | |
| Signal analyzing technology can enhance health care | 1.76 (0.57–5.41) | 2.94 (1.32–6.64) | |
| SVRT can enhance human health | 1.71 (0.63–4.60) | - | |
| AI can be applied in emergency medicine | 2.63 (1.22–5.73) | 2.87 (1.47–5.61) | |
| Humans should confirm medical decisions | 0.83 (0.33–2.02) | - | |
| Reliability of decision by computer over 2/3 | 0.69 (0.32–1.46) | - | |
| AI can enhance health care | 1.46 (0.63–3.31) | - | |
| Hospitals can prevent personal information leakage | 1.77 (0.86–3.73) | 2.03 (1.06–3.99) | |
| Request about data | |||
| Check after recording | 0.78 (0.29–2.01) | - | |
| Keep after recording | 1.33 (0.56–3.08) | - | |
OR, odds ratio; CI, confidence interval; ED, emergency department; SVRT, speech and video recognition technology; AI, artificial intelligence