Table 4.
Presents the results of a multivariable logistic regression analysis, examining the associations between the demographic characteristics of healthcare workers and their good knowledge and positive attitude toward the adoption of artificial intelligence in healthcare (n = 431).
| Variables (n = 431) |
Good knowledge (n = 169) |
Positive attitude (n = 315) |
||
|---|---|---|---|---|
| AOR (95%CI) | AOR (95%CI) | |||
| Age rowhead | ||||
| ≥56 years | Reference | Reference | ||
| 18–25 years | 1.56 (1.12–2.43) | 1.42 (0.98–2.34) | ||
| 26–35 years | 1.27 (0.86–2.09) | 1.14 (0.78–1.97) | ||
| 36–45 years | 1.08 (0.75–1.92) | 0.88 (0.62–1.59) | ||
| 46–55 years | 0.75 (0.42–1.33) | 0.65 (0.38–1.15) | ||
| Gender rowhead | ||||
| Prefer not to say | Reference | Reference | ||
| Male | 1.35 (0.92–2.14) | 1.18 (0.78–2.07) | ||
| Female | 1.23 (0.84–2.09) | 1.09 (0.74–1.98) | ||
| Non-binary | 0.94 (0.62–1.72) | 0.97 (0.62–1.81) | ||
| Educational background rowhead | ||||
| Other | Reference | Reference | ||
| Diploma course | 0.62 (0.38–1.09) | 0.88 (0.56–1.69) | ||
| Bachelor's degree/MBBS | 0.82 (0.49–1.54) | 1.03 (0.72–1.89) | ||
| Master's degree | 1.11 (0.78–1.89) | 1.45 (1.02–2.37) | ||
| Doctorate | 1.67 (1.21–2.49) | 1.53 (1.12–2.34) | ||
| Years of experience in healthcare rowhead | ||||
| 16 years and above | Reference | Reference | ||
| Less than 1 year | 1.28 (0.92–2.09) | 1.42 (0.98–2.34) | ||
| 1–5 years | 1.14 (0.86–1.97) | 1.19 (0.82–2.01) | ||
| 6–10 years | 0.68 (0.42–1.17) | 0.85 (0.58–1.57) | ||
| 11–15 years | 0.91 (0.58–1.69) | 0.93 (0.62–1.69) | ||
| Job role rowhead | ||||
| Other | Reference | Reference | ||
| Physician | 1.08 (0.78–1.89) | 1.16 (0.82–1.97) | ||
| Nurse | 0.96 (0.68–1.81) | 0.89 (0.62–1.54) | ||
| Therapist/Medical technologist | 1.24 (0.92–2.09) | 1.37 (1.02–2.23) | ||
| Administrator/Manager | 0.81 (0.52–1.47) | 1.01 (0.74–1.69) | ||
| Work setting rowhead | ||||
| Other | Reference | Reference | ||
| Hospital | 1.29 (0.92–2.09) | 1.45 (1.12–2.34) | ||
| Clinic/Outpatient facility | 0.67 (0.42–1.15) | 0.92 (0.68–1.69) | ||
| Diagnostic center | 1.12 (0.86–1.69) | 1.04 (0.78–1.89) | ||
| Nursing home/Long-term care | 0.88 (0.62–1.54) | 0.99 (0.62–1.81) | ||
| Employment status rowhead | ||||
| Other | Reference | Reference | ||
| Full-time | 1.45 (1.12–2.34) | 1.33 (0.98–2.09) | ||
| Part-time | 0.71 (0.46–1.29) | 0.76 (0.52–1.41) | ||
| Contract/Temporary | 1.21 (0.86–2.01) | 1.09 (0.82–1.89) | ||
| Did you attend any national or international conference regarding artificial intelligence adoption in healthcare? rowhead | ||||
| No | Reference | Reference | ||
| Yes | 1.27 (0.92–2.23) | 1.47 (1.12–2.34) | ||
| How did you know about the adoption of artificial intelligence in healthcare? rowhead | ||||
| Other | Reference | Reference | ||
| By attending a conference | 1.47 (1.12–2.34) | 1.22 (0.86–1.97) | ||
| Facebook/YouTube | 0.72 (0.46–1.29) | 0.81 (0.52–1.47) | ||
| Online news portal | 1.23 (0.86–2.01) | 0.68 (0.42–1.15) | ||
| Research articles/Journal websites | 1.31 (0.98–2.09) | 1.03 (0.74–1.69) | ||
| TV news | 0.86 (0.58–1.57) | 0.94 (0.68–1.54) | ||