Significant factors (P < 0.05) in the model for admissions of patients requiring chronic renal dialysis are highlighted by asterisks.
Table 4 presents the estimated logistic regression coefficients, estimated SEs, adjusted odds ratios (ORs), and 95% confidence intervals (CIs) for the adjusted ORs for the final model for admissions.
In the ICNARC model, for admissions to the critical care unit from an imaging department and those from the recovery area (not for postoperative use but when used as a temporary critical care area), the previous location is used to assign a weight.
We show that using DEVS (Discrete Event System Specification), in combination with Quantized State Systems (QSS) numerical methods for the approximation of continuous systems, offers numerous advantages: these frameworks provide the means to accurately analyze and design hybrid models for Admission Control and they can be seamlessly integrated into a unified formal framework.
All variables with a p value of <0.2 in a primary univariate analysis were included in the multivariate model, except for admission categories; admission categories were included even when the p value was >0.2 in the univariate analysis.
We design a Markov decision process model for flow admission control and characterize the Whittle index in a closed form.
A triage model for guiding admission of patients from the ED to the hospital floor or critical care units was created.
It may be possible to recalibrate the APACHE II model for obstetric admissions or to develop a new specific model.
The regression model for hospital admissions, shown also in table 4, predicted only 12.3% of the variation, with 10.1% predicted by health status and the remaining 2.2% by age.
*Model 1: naïve model, corrections for sampling strategy (overrepresentation deceased patients and university hospitals); model 2: model 1 + corrections for age, sex and ICD9 main diagnostic groups; model 3: model 2 + corrections for admission characteristics: admission to intensive care, length of stay, urgency of admission and surgery during admission.
The association of C-reactive protein, white blood cell count, vaginal sample bacteriological results, and a prediction model at admission, for early-onset neonatal infection and maternal chorioamnionitis were analyzed by comparing areas under the receiver operating characteristic curves and specificity.
