Table 3B.
Organizational willingness to adopt applications of AI in Screening for eye diseases.
| Diabetic retinopathy (DR) | Glaucoma | Age related macular degeneration (AMD) | Cataract | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| OR | 95% CI | p -value | OR | 95% CI | p -value | OR | 95% CI | p -value | OR | 95% CI | p -value | ||||||
| Age | 1.023 | 0.999 | 1.047 | 0.056 | 1.020 | 0.999 | 1.041 | 0.066 | 1.018 | 0.998 | 1.039 | 0.075 | 1.021 | 1.002 | 1.041 | ||
| Gender | Female | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref |
| Male | 1.080 | 0.765 | 1.525 | 0.66 | 1.015 | 0.743 | 1.387 | 0.923 | 1.023 | 0.759 | 1.378 | 0.883 | 0.667 | 0.505 | 0.882 | ||
| Clinical experience | Currently in training | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref |
| <20 years | 1.237 | 0.511 | 2.998 | 0.637 | 1.150 | 0.519 | 2.550 | 0.73 | 1.068 | 0.485 | 2.351 | 0.871 | 0.724 | 0.329 | 1.593 | 0.422 | |
| >20 years | 0.972 | 0.349 | 2.709 | 0.957 | 1.172 | 0.463 | 2.971 | 0.737 | 1.047 | 0.419 | 2.613 | 0.922 | 0.748 | 0.303 | 1.846 | 0.529 | |
| Geographical region | East Asia and Pacific | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref |
| Europe and Central Asia | 1.669 | 0.757 | 3.676 | 0.204 | 0.559 | 0.306 | 1.021 | 0.058 | 1.495 | 0.758 | 2.948 | 0.246 | 0.444 | 0.236 | 0.836 | ||
| Latin America & the Caribbean | 1.631 | 0.767 | 3.470 | 0.204 | 1.695 | 0.899 | 3.195 | 0.103 | 1.691 | 0.931 | 3.073 | 0.085 | 0.863 | 0.515 | 1.446 | 0.576 | |
| Middle east and North Africa | 0.515 | 0.188 | 1.413 | 0.198 | 0.365 | 0.144 | 0.922 | 0.570 | 0.224 | 1.450 | 0.238 | 0.644 | 0.254 | 1.635 | 0.355 | ||
| North America | 1.471 | 0.314 | 6.889 | 0.624 | 0.333 | 0.106 | 1.046 | 0.06 | 2.095 | 0.451 | 9.736 | 0.346 | 0.174 | 0.037 | 0.812 | ||
| South Asia | 2.068 | 1.037 | 4.125 | 1.719 | 0.998 | 2.960 | 0.051 | 1.207 | 0.737 | 1.976 | 0.455 | 1.249 | 0.784 | 1.992 | 0.35 | ||
| Africa | 1.180 | 0.137 | 10.176 | 0.88 | 2.248 | 0.263 | 19.214 | 0.459 | 0.373 | 0.080 | 1.732 | 0.208 | 1.597 | 0.296 | 8.615 | 0.586 | |
| Income level | Resource-constrained | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref | Ref |
| Resource-abundant | 0.729 | 0.472 | 1.126 | 0.154 | 1.205 | 0.821 | 1.769 | 0.34 | 1.193 | 0.825 | 1.726 | 0.349 | 0.755 | 0.533 | 1.069 | 0.113 | |
| Self-rated understanding of AI | Very poor | ref | ref | ref | ref | ref | ref | ref | ref | ref | ref | ref | ref | ref | ref | ref | ref |
| Below average | 0.927 | 0.235 | 3.659 | 0.914 | 1.201 | 0.371 | 3.887 | 0.759 | 0.842 | 0.263 | 2.694 | 0.772 | 1.778 | 0.594 | 5.317 | 0.303 | |
| Average | 1.151 | 0.313 | 4.240 | 0.832 | 1.274 | 0.422 | 3.846 | 0.668 | 1.038 | 0.344 | 3.130 | 0.948 | 1.224 | 0.442 | 3.388 | 0.698 | |
| Above average | 0.859 | 0.234 | 3.156 | 0.818 | 1.090 | 0.361 | 3.295 | 0.878 | 0.855 | 0.283 | 2.582 | 0.782 | 1.126 | 0.406 | 3.123 | 0.82 | |
| Excellent | 0.539 | 0.137 | 2.127 | 0.378 | 0.658 | 0.202 | 2.141 | 0.486 | 0.718 | 0.220 | 2.340 | 0.583 | 1.129 | 0.376 | 3.389 | 0.828 | |
*Wherein “ref” denotes the reference category.
The color values are added to draw attention of readers to analyses for which p-value was < 0.05.