Table 2.
Output from a multivariate segmented logistic regression with generalized estimation equations methods* to predict the odds of receiving a head CT.
Variable | OR | 95% CI | |
---|---|---|---|
Baseline monthly trend preimplementation | 1.00 | 0.99 | 1.00 |
Change from the last preintervention month to the first postintervention month | 0.94 | 0.86 | 1.04 |
Change in monthly trend postimplementation | 0.98 | 0.96 | 0.99 |
Age | 1.02 | 1.02 | 1.02 |
Women | 0.97 | 0.93 | 1.02 |
Race (reference=white) | |||
Asian | 1.28 | 1.17 | 1.39 |
Black | 0.89 | 0.82 | 0.97 |
Hispanic | 1.14 | 1.08 | 1.20 |
Other | 1.01 | 0.83 | 1.23 |
High school education | 1.00 | 0.92 | 1.10 |
Poverty | 0.98 | 0.91 | 1.06 |
Marital status (reference=nonpartnered) | |||
Partnered | 0.93 | 0.89 | 0.97 |
Other/unknown | 0.76 | 0.63 | 0.90 |
Elixhauser | 1.05 | 1.03 | 1.07 |
Vomiting | 0.99 | 0.89 | 1.09 |
Anticoagulants | 1.19 | 1.11 | 1.26 |
GCS score <15 | 1.82 | 1.70 | 1.95 |
Medical center no. (reference=ED 13) | |||
1 | 0.50 | 0.44 | 0.57 |
2 | 0.53 | 0.47 | 0.60 |
3 | 0.55 | 0.49 | 0.61 |
4 | 0.52 | 0.46 | 0.59 |
5 | 0.58 | 0.51 | 0.66 |
6 | 0.73 | 0.65 | 0.83 |
7 | 0.69 | 0.61 | 0.78 |
8 | 0.72 | 0.63 | 0.81 |
9 | 0.82 | 0.74 | 0.91 |
10 | 0.76 | 0.67 | 0.87 |
11 | 0.76 | 0.67 | 0.87 |
12 | 0.77 | 0.70 | 0.86 |
Emergency medicine residency | 1.63 | 1.55 | 1.71 |
Years practicing (reference<3) | |||
3–10 | 0.96 | 0.90 | 1.02 |
11–20 | 0.86 | 0.80 | 0.92 |
>20 | 0.79 | 0.73 | 0.85 |
Physician completed education of the Canadian CT Head Rule | 1.06 | 0.94 | 1.19 |
Arrived by ambulance | 1.06 | 1.01 | 1.11 |
Alcohol intoxication | 3.64 | 3.05 | 4.35 |
Physician treated as a repeated measure to account for correlation between encounters from the same provider.