Table 2. GLM Regression Results Examining Emergency Department Wait Times.
Beta | SE | 95% CI | P | |
---|---|---|---|---|
Patient Characteristics | ||||
| ||||
Age | ||||
Less than 18 | −0.20 | 0.05 | −0.30 - −0.10 | 0.000 |
18 to 44 | −0.06 | 0.04 | −0.14 - 0.01 | 0.091 |
44 to 64 (ref.) | 0.00 | |||
| ||||
Female | −0.02 | 0.04 | −0.10 - 0.07 | 0.672 |
| ||||
Race | ||||
White (ref.) | 0.00 | |||
Non-White | 0.06 | 0.03 | 0.00 - 0.11 | 0.050 |
Race Not Specified | 0.15 | 0.10 | −0.04 - 0.35 | 0.124 |
| ||||
Habits/Co-morbidities | ||||
Smoking | −0.12 | 0.05 | −0.21 - −0.02 | 0.013 |
Alcohol | 0.17 | 0.09 | −0.01 - 0.36 | 0.067 |
Number of co-morbidities | 0.07 | 0.04 | −0.01 - 0.15 | 0.082 |
| ||||
Injury Characteristics | ||||
ISS Score | −0.01 | 0.00 | −0.02 - 0.00 | 0.032 |
Multiple Digit | 0.16 | 0.10 | −0.05 - 0.36 | 0.130 |
Thumb | −0.17 | 0.03 | −0.23 - −0.10 | 0.000 |
| ||||
Insurance | ||||
Private (ref.) | 0.00 | |||
Public | 0.10 | 0.05 | 0.00 - 0.20 | 0.057 |
No Insurance | 0.12 | 0.04 | 0.05 - 0.20 | 0.002 |
Other Insurance | 0.38 | 0.26 | −0.12 - 0.88 | 0.140 |
Insurance Not Specified | 0.88 | 0.40 | 0.10 - 1.66 | 0.026 |
| ||||
Hospital Characteristics | ||||
| ||||
Bed Size | ||||
Less than 200 (ref.) | 0.00 | |||
200-400 | −0.14 | 0.11 | −0.35 - 0.07 | 0.178 |
401-600 | −0.04 | 0.12 | −0.27 - 0.19 | 0.744 |
More than 600 | −0.17 | 0.12 | −0.40 - 0.07 | 0.163 |
| ||||
Trauma Center Level | ||||
Other Hospitals (ref.) | 0.00 | |||
Level I | 0.28 | 0.09 | 0.11 - 0.45 | 0.001 |
Level II | −0.08 | 0.09 | −0.25 - 0.08 | 0.327 |
Level III | −0.18 | 0.11 | −0.39 - 0.04 | 0.104 |
| ||||
Status | ||||
For-Profit (vs. Public) | 0.07 | 0.13 | −0.17 - 0.32 | 0.558 |
Non-Teaching (vs. Teaching) | 0.20 | 0.10 | 0.01 - 0.39 | 0.038 |
| ||||
Geography | ||||
Midwest (ref.) | 0.00 | |||
Northeast | −0.20 | 0.11 | −0.42 - 0.02 | 0.074 |
South | 0.05 | 0.08 | −0.11 - 0.21 | 0.532 |
West | 0.01 | 0.15 | −0.27 - 0.30 | 0.933 |
| ||||
Intercept | 5.20 | 0.12 | 4.96 - 5.43 | 0.000 |
N=12,126; AIC=12.75; Adjusted for 586 clusters in hospitals.
Source: The 2007 – 2012 National Trauma Data Bank.