CUT-OFF SCORES | SENSITIVITY | SPECIFICITY | LR | PPV | NPV |
|---|
236 | 0.64 | 0.88 | 5.33 | 0.364 | 0.958 |
244
|
0.88
|
0.85
|
6.03
|
0.393
|
0.985
|
253 | 0.88 | 0.83 | 5.26 | 0.361 | 0.985 |
- Co-ordinates of the ROC curve identify cut-off values as an average of two consecutive ordered test values
- Sensitivity is the proportion of patients that are correctly identified as needing nursing home.
- Specificity is the proportion of people that are correctly identified as not needing nursing home.
- LR+ = Likelihood ratio, how many more times likely patients will need nursing home with this cut-off score than those who do not.
- Positive predictive value is the proportion of people who had a positive test for nursing home who did need a nursing home admission.
- Negative predictive value is the proportion of people who had a negative test result and didn't need a nursing home admission
