Number of Patients Who Were Predicted to Have Influenza by Each of the Three Heuristic CDRs, Which Produce Binary Outcomes
| Clinician (n = 250) | Patient (n = 250) | |||
|---|---|---|---|---|
| Influenza + | Influenza − | Influenza + | Influenza − | |
| CF | ||||
| Positive | 112 (88%) | 60 (49%) | 91 (72%) | 42 (34%) |
| Negative | 15 (12%) | 63 (51%) | 36 (28%) | 81 (66%) |
| CFA | ||||
| Positive | 66 (52%) | 31 (25%) | 50 (39%) | 22 (18%) |
| Negative | 61 (48%) | 92 (75%) | 77 (61%) | 101 (82%) |
| CFM | ||||
| Positive | 100 (79%) | 40 (33%) | 85 (67%) | 38 (31%) |
| Negative | 27 (21%) | 83 (67%) | 42 (33%) | 85 (69%) |
Abbreviations: CDR, Clinical decision rules; CF, presence of cough and fever; CFM, presence of cough, fever, and myalgia; CFA, presence of cough and fever with acute onset of disease.
Notes: The predictions are stratified by PCR influenza diagnosis.