Table 3.
Diagnostic accuracy measures of the developed model (n = 1032) for predicting anticipated benefit from an EPCC at different cut-off values
| Cut-off value | 0.1 | 0.2 | 0.3a | 0.4a | 0.5 | 0.6 | 0.7 | 0.8 | 0.9 |
| NPV, % | 96.3 | 87.7 | 83.1 | 79.7 | 77.2 | 73.1 | 68.7 | 67.3 | 66.2 |
| False negative in the high anticipated benefit score group, % | 0.0 | 7.1 | 17.9 | 25.9 | 33.9 | 54.5 | 75.0 | 87.5 | 97.3 |
| Youden index | 0.07 | 0.35 | 0.43 | 0.41 | 0.38 | 0.27 | 0.11 | 0.06 | 0.02 |
| Patients predicted by the model as having anticipated benefit (moderate and high), % of total | 94.8 | 64.4 | 44.4 | 32.7 | 24.4 | 16.8 | 8.1 | 4.3 | 0.7 |
| Patients scored by the GP as having anticipated benefit (moderate and high), % of total | 34.1 | 34.1 | 34.1 | 34.1 | 34.1 | 34.1 | 34.1 | 34.1 | 34.1 |
| Sensitivity, % | 99.4 | 87.2 | 72.4 | 59.9 | 49.9 | 34.4 | 15.6 | 8.2 | 1.7 |
| Specificity, % | 7.6 | 47.4 | 70.1 | 81.5 | 88.5 | 92.4 | 95.7 | 97.8 | 99.9 |
| PPV, % | 35.8 | 46.2 | 55.7 | 62.6 | 69.0 | 69.9 | 65.5 | 65.9 | 85.7 |
The cut-off values 0.3 and 0.4 were considered, with the cut-off value 0.3 chosen as optimal.
EPCC = extended person-centred consultation. NPV = negative predictive value. PPV = positive predictive value.