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. Author manuscript; available in PMC: 2016 Jun 1.
Published in final edited form as: Ann Emerg Med. 2014 Dec 18;65(6):679–686.e1. doi: 10.1016/j.annemergmed.2014.11.017

Table 1.

Results of logistic regression analysis for adjusting the effect of intervention for potential confounding variables. The regression coefficient and odds ratio for the “baseline” value of each variable is reported as “N/A”.

Variable Values Coefficient Odds ratio (95% CI)
Study period After −0.333 0.72 (0.64 – 0.70)
Before N/A
Patient sex Male −0.0121 0.99 (0.89 – 1.10)
Female N/A
Patient race Black 0.137 1.15 (0.71 – 1.84)
Hispanic 0.214 1.24 (0.69 – 2.21)
White 0.155 1.17 (0.74 – 1.85)
Other 0.198 1.22 (0.77 – 1.93)
Unknown −0.003 1.00 (0.99 – 1.01)
Asian N/A
Provider role Resident −0.003 0.99 (0.89 – 1.12)
Physician Assistant 0.038 1.04 (0.87 – 1.24)
Other 0.024 1.02 ( 0.75 – 1.39)
Attending N/A
Time of order Night shift −0.006 0.99 (0.89 – 1.10)
Day shift N/A
Intercept −8.369 N/A