Statistical analysis
All statistical analyses, apart from the ROC power calculation, were performed using SPSS Statistics version 25 [14]. Continuous variables were compared for statistical significance to an alpha of <0.05 using Mann Whitney U tests. Categorical data were compared for statistical significance to an alpha of <0.05 using chi-square tests. Prior to binary logistic regression analysis variables were screened for collinearity with all values showing an acceptable level of tolerance (VIF <10). Univariate and simultaneous multivariate binary logistic regressions were carried out to compare the components of the BOOST and LACE models. Model accuracy was determined by calculating the area under the receiver operating characteristic curve. Youden’s index was calculated for each point in the BOOST score and LACE index, with the maximum value representing the ideal cut-off point for screening. Chi-squared testing to alpha <0.05 was used to determine significance in chance of readmission for high and low risk BOOST and LACE patients.