Table 4.
ANOVA and Dunn’s test for different IPS parameters
| IPS | Average change | 95% CI | ANOVA p value | Subregion with more patients |
| Surgeries | 53.84% | Min. 53.11% Max. 54.56% |
6.96×10−13 | Brampton, Bramalea, Mid-West Toronto |
| Cancer procedures | 48.52% | Min. 46.53% Max. 50.51% |
0.091 | Scarborough South |
| Ophthalmic procedures | 47.27% | Min. 46.26% Max. 48.29% |
2.22×10−6 | Northern York Region |
| Orthopaedic procedures | 54.86% | Min. 53.54% Max. 56.18% |
1.88×10−16 | Brampton, Bramalea |
| Paediatric procedures | 59.27% | Min. 58.04% Max. 60.51% |
0.014 | North Etobicoke Malton West Woodbridge, East Toronto |
| MRI | 60.8% | Min. 59.7% Max. 61.83% |
6.92×10−35 | North Toronto, Mid-East Toronto, Mid-West Toronto |
| CT scan | 61.84% | Min. 60.97% Max. 62.71% |
2.58×10−22 | East Toronto, North Toronto, Mid-East Toronto |
Average change: positive values indicate that how much has the number of patients waiting for a procedure has increased on average.
95% CI: positive values indicate that the lower (min.) or upper (max.) bounds for the 95% CI is an increase compared with before the COVID-19 pandemic.
ANOVA p value: any value <0.05 indicates that at least one location is significantly different form the rest. Subregion with more patients: extracts the critical subregions that need special attention to recover. Because the number of their patients waiting for service has increased more compared with other locations.
ANOVA, analysis of variance; IPS, imaging, procedures and surgeries; max., maximum; min., minimum.