Table 2.
Logistic regression model predicting odds of opioid prescribing at discharge
| Parameter | Adjusted OR (95% CI) |
| Gender (non-male vs male) | 1.03 (0.80 to 1.32) |
| Age | 1.03 (0.94 to 1.08) |
| Race (non-white vs white) | 1.19 (0.92 to 1.54) |
| Ethnicity (non-Hispanic vs Hispanic) | 1.04 (0.76 to 1.43) |
| Positive AOD test | 1.01 (0.67 to 1.52) |
| Trauma center* | |
| B versus A | 0.51 (0.32 to 0.79) |
| C versus A | 0.26 (0.16 to 0.42) |
| D versus A | 1.19 (0.79 to 1.81) |
| E versus A | 0.79 (0.35 to 1.80) |
| F versus A | 0.38 (0.23 to 0.63) |
| G versus A | 0.47 (0.32 to 0.67) |
| H versus A | 0.86 (0.54 to 1.84) |
| I versus A | 0.30 (0.16 to 0.66) |
| J versus A | 0.43 (0.14 to 1.15) |
| Trauma center volume (median centered) | 1.01 (1.00 to 1.01) |
*Trauma center A is referent site.