Identifying Children at Readmission Risk: At-Admission versus Traditional At-Discharge Readmission Prediction Model.

ABSTRACT: The timing of 30-day pediatric readmissions is skewed with approximately 40% of the incidents occurring within the first week of hospital discharges. The skewed readmission time distribution coupled with delay in health information exchange among healthcare providers might offer a limited time to devise a comprehensive intervention plan. However, pediatric readmission studies are thus far limited to the development of the prediction model after hospital discharges. In this study, we proposed a novel pediatric readmission prediction model at the time of hospital admission which can improve the high-risk patient selection process. We also compared proposed models with the standard at-discharge readmission prediction model. Using the Hospital Cost and Utilization Project database, this progno

SUBMITTER: Symum H 

PROVIDER: S-EPMC8544577 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature