A Predictive Risk Model for Infection-Related Hospitalization Among Home Healthcare Patients.

ABSTRACT: Infection prevention is a high priority for home healthcare (HHC), but tools are lacking to identify patients at highest risk of developing infections. The purpose of this study was to develop and test a predictive risk model to identify HHC patients at risk of an infection-related hospitalization or emergency department visit. A nonexperimental study using secondary data was conducted. The Outcome and Assessment Information Set linked with relevant clinical data from 112,788 HHC admissions in 2014 was used for model development (70% of data) and testing (30%). A total of 1,908 patients (1.69%) were hospitalized or received emergency care associated with infection. Stepwise logistic regression models discriminated between individuals with and without infections. Our final model, when class

SUBMITTER: Shang J 

PROVIDER: S-EPMC7477895 | biostudies-literature | 2020 May/Jun

REPOSITORIES: biostudies-literature