Skip to main content
. Author manuscript; available in PMC: 2016 Aug 1.
Published in final edited form as: J Trauma Acute Care Surg. 2015 Aug;79(2):282–288. doi: 10.1097/TA.0000000000000732

Table 4.

Effect of EGS care model* on interventions and outcomes for acute appendicitis at 122 University HealthSystems Consortium Hospitals in multivariable modeling.

95% CI
Laparoscopic appendectomy (vs. open)1 AOR 1.86 1.23, 2.80
Required intensive care (vs. none)2 AOR 1.7 0.67, 4.30
Mean difference in Total Hospital LOS (days),
(SE)3 		0.12 (0.23)**
Mean difference in Total Charges ($), (SE)4 821 (1054)**
*

ACS model hospitals (58 hospitals with a total of 1,414 patients with acute appendicitis) compared to GSOC model hospitals (64 hospitals with a total of 1,151 patients with acute appendicitis)

1

Multiple logistic regression (fit by general estimating equations to account for patient clustering within randomly selected hospitals) adjusted for age, race, primary insurance, severity of illness, and hospital characteristics (location, teaching status, setting, bedsize, trauma verification status) (N=2258)

2

Multiple logistic regression (fit by general estimating equations to account for patient clustering within randomly selected hospitals) adjusted for type of intervention, any complication, age, race, primary insurance, severity of illness, and hospital characteristics (location, teaching status, setting, bedsize, trauma verification status) (N=2,561, 2 patients with lap+IR, 2 patients with open+IR deleted from the model)

3

Mixed linear regression models, treating hospital as a random effect adjusted for type of intervention, any complication, age, race, primary insurance, severity of illness, and hospital characteristics (location, teaching status, setting, bedsize, trauma verification status) (N=2,561, 2 patients with lap+IR, 2 patients with open+IR deleted from the model)

4

Mixed linear regression models, treating hospital as a random effect adjusted for type of intervention, any complication, age, race, primary insurance, severity of illness, and hospital characteristics (location, teaching status, setting, bedsize, trauma verification status) (N=2,561, 2 patients with lap+IR, 2 patient with open+IR deleted from the model).

**

Even though adjusted for type of intervention, any complication, age, race, primary insurance, severity of illness, and hospital characteristics, ACS model itself is not significant to explain the variability.