External validation of the PAR-Risk Score to assess potentially avoidable hospital readmission risk in internal medicine patients.

ABSTRACT:

Background

Readmission prediction models have been developed and validated for targeted in-hospital preventive interventions. We aimed to externally validate the Potentially Avoidable Readmission-Risk Score (PAR-Risk Score), a 12-items prediction model for internal medicine patients with a convenient scoring system, for our local patient cohort.

Methods

A cohort study using electronic health record data from the internal medicine ward of a Swiss tertiary teaching hospital was conducted. The individual PAR-Risk Score values were calculated for each patient. Univariable logistic regression was used to predict potentially avoidable readmissions (PARs), as identified by the SQLape algorithm. For additional analyses, patients were stratified into low, medium, and high risk accord

SUBMITTER: Higi L 

PROVIDER: S-EPMC8610256 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature