TABLE 3.

Logistic Regression Models Results

VariableORSE95% CIP
Model 1. Outcome: Appropriateness of Admission
 Log-likelihood = −383.56, χ2 = 23.08, P = .0016
 Hour of arrival1.830.41.19–2.81.006
 Sex1.420.261.00–2.02.053
 Age0.890.050.79–1.01.066
 Ward1.440.30.96–2.15.075
 Day of the week of admission0.710.140.49–1.04.081
 Type of admission1.450.330.92–2.28.106
 Patient’s distance home-hospital, km1.10.120.89–1.36.391
Model 2. Outcome: Appropriateness of Days of Care
 Log-likelihood = −376.15, χ2 = 125.39, P < .001
 Ward4.240.932.76–6.5<.001
 Length of stay1.160.041.09–1.23<.001
 Location within the stay0.520.10.37–0.74<.001
 Appropriateness of admission2.000.41.35–2.96.001
 Sex0.590.110.41–0.83.003
 Type of admission0.540.130.33–0.86.01
 Age0.880.060.78–1.00.053
  • SE indicates standard error.