The effects of data sources, cohort selection, and outcome definition on a predictive model of risk of thirty-day hospital readmissions
Hospitals seek to predict readmissions, but there are many proposed models. The study aims to show the impact of varying factors of model design on performance. Targeting reason for readmission improves discrimination. ROCs range from 0.68 to 0.92. Patient visit and laboratory results contribute most to prediction. Performance is highly cohort-dependent. Comparing models across studies may be hard.
d demographics l laboratory tests i prior icd9 codes s social/mental health keywords o other clinical keywords v visit utilization history