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) |