Table 2.
Diagnostic accuracy results of the comparison between algorithm and all other detection methods in the development and validation studies.
| Method | True positive, n | False positive, n | True negative, n | False negative, n | Sensitivity, % | Specificity, % | Positive predictive value, % | Negative predictive value, % | |||||||||
| Development study, development data set (n=120) |
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Algorithm | 11 | 10 | 99 | 0 | 100 | 91 | 52 | 100 | ||||||||
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Manual GTT | 9 | 0 | 109 | 2 | 82 | 100 | 100 | 98 | ||||||||
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Incident reporting | 7 | 0 | 109 | 4 | 64 | 100 | 100 | 96 | ||||||||
| Development study, testing data set (n=120) |
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Algorithm | 8 | 9 | 101 | 2 | 80 | 92 | 47 | 98 | ||||||||
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Manual GTT | 9 | 0 | 110 | 0 | 100 | 100 | 100 | 100 | ||||||||
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Incident reporting | 7 | 0 | 110 | 3 | 70 | 100 | 100 | 97 | ||||||||
| Validation study (n=298) |
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Algorithm | 15 | 17 | 266 | 0 | 100 | 94 | 47 | 100 | ||||||||
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Manual chart review | 14 | 0 | 283 | 1 | 93 | 100 | 100 | 99 | ||||||||
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ANQb measure | 5 | 0 | 283 | 10 | 33 | 100 | 100 | 97 | ||||||||
aGTT: Global Trigger Tool.
bANQ: Swiss National Association For Quality Development in Hospitals and Clinics.