Table 2.
Risk assessment
Actual results |
|||
---|---|---|---|
Test prediction | Develops psychosis | Does not develop psychosis | Total |
At risk for psychosis | 14 | 294 | 308 |
Not at risk for psychosis | 6 | 686 | 692 |
Total | 20 | 980 | 1000 |
Assuming that two of every 100 individuals will ultimately develop schizophrenia or a psychotic mood disorder, this means that of a group of 1000, 20 individuals will develop a psychotic disorder and 980 will not. Assuming that the sensitivity of the at-risk criteria is 70%, this means that the criteria will correctly identify 12 but miss 6 individuals truly at risk. Assuming that the specificity is 60%, the test will correctly identify 686 as not at risk, but will misclassify 294 individuals as at risk, even though they are truly not at risk.