Table 3. Association between Clinician Type, Location, Shift and Probability of an Intercepted Drug Name Confusion Error.
Variablea | With Fluticasone | Without Fluticasone | ||
Odds Ratio | Confidence Interval | Odds Ratio | Confidence Interval | |
Clinician Type | ||||
Resident | - | - | - | - |
Attending | 0.35b | 0.23–0.54 | 0.69 | 0.30–1.56 |
Nurse | 0.53c | 0.28–0.996 | 0.69 | 0.21–2.26 |
Location | ||||
Inpatient | - | - | - | - |
Ambulatory | 3.54b | 2.51–5.00 | 0.51c | 0.27–0.95 |
ED | 0.27c | 0.11–0.68 | 0.29c | 0.11–0.72 |
OR | 0.27 | 0.04–1.98 | 0.29 | 0.04–2.09 |
Shift | ||||
Day | - | - | - | - |
Evening | 0.80 | 0.55–1.16 | 0.47c | 0.23–.95 |
Overnight | 0.74 | 0.44–1.27 | 1.05 | 0.52–2.12 |
Resident physician, inpatient location and day shift were used as reference categories. Testing global null hypothesis for model with fluticasone, −2 log likelihood = 2563.8, chi-square = 94.9, p<.0001. For model without fluticasone, −2 log likelihood = 1245.9, chi-square = 24.6, p<.0001.
p<0.001.
p<0.05.