From: Psychometric properties of the Flemish translation of the NEECHAM Confusion Scale
 | CAM algorithm |  | |
---|---|---|---|
NEECHAM total score | Delirious N | Not delirious n | Total N |
≤ 24 | 7 | 27 | 34 |
≥ 25 | 6 | 154 | 160 |
Total | 13 | 181 | 194 |
Sensitivity [(7/13) × 100] = 53.8%; Specificity [(154/181) × 100] = 85.1%; Predictive value of a positive test [(7/34 × 100] = 20.6%; Predictive value of a negative test [(154/160) × 100] = 96.3%; Accuracy [(7+154/7+27+6+154) × 100] = 83.0% | |||
≤ 25 | 8 | 31 | 39 |
≥ 26 | 5 | 150 | 155 |
Total | 13 | 181 | 194 |
Sensitivity = 61.5%; Specificity = 82.9%; Predictive value of a positive test = 20.5%; Predictive value of a negative test = 96.8%; Accuracy = 81.4% | |||
≤ 26 | 9 | 50 | 59 |
≥ 27 | 4 | 131 | 135 |
Total | 13 | 181 | 194 |
Sensitivity = 69.2%; Specificity = 72.4%; Predictive value of a positive test = 15.2%; Predictive value of a negative test = 97.0%; Accuracy = 72.2% | |||
≤ 27 | 10 | 64 | 74 |
≥ 28 | 3 | 117 | 120 |
Total | 13 | 181 | 194 |
Sensitivity = 76.9%; Specificity = 64.6%; Predictive value of a positive test = 13.5%; Predictive value of a negative test = 97.5%; Accuracy = 65.5% | |||
≤ 28 | 10 | 84 | 94 |
≥ 29 | 3 | 97 | 100 |
Total | 13 | 181 | 194 |
Sensitivity = 76.9%; Specificity = 53.6%; Predictive value of a positive test = 10.6%; Predictive value of a negative test = 97.0%; Accuracy = 55.2% | |||
≤ 29 | 11 | 118 | 129 |
30 | 2 | 63 | 65 |
Total | 13 | 181 | 194 |
Sensitivity = 84.6%; Specificity = 34.8%; Predictive value of a positive test = 8.5%; Predictive value of a negative test = 96.9%; Accuracy = 38.1% |