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Table 8 Logistic regression on single-day admissions for all DDs explained when local medical history (Hypothesis 2b)

From: The impact of EHR and HIE on reducing avoidable admissions: controlling main differential diagnoses

Theory variables in the equation All DDs ( N=115,719) GE ( N=7,165) AP ( N=21,579) UTI ( N=6,950) CP ( N=67,650) PO ( N=12,375)
Local history viewed 0.785 (<0.001) 0.776 (<0.001) 0.617 (<0.001) 0.633 (<0.001) 0.846 (<0.001) 0.887 (0.094)
Age 0.979 (<0.001) 0.983 (<0.001) 0.978 (<0.001) 0.985 (<0.001) 0.968 (<0.001) 0.982 (<0.001)
Gender 0.961 (0.007) 1.008 (0.885) 0.972 (0.364) 0.903 (0.256) 0.821 (<0.001) 1.050 (0.451)
HMO 0.855 (<0.001) 0.782 (<0.001) 0.929 (0.031) 0.865 (0.133) 0.888 (<0.001) .962 (0.611)
Constant 1.069 (0.002) 1.014 (0.824) 1.327 (<0.001) 0.326 (<0.001) 2.625 (<0.001) 0.264 (<0.001)