Open AccessHospital Readmissions – Independent Predictors of 30-day Readmissions derived from a 10 year Database
Author(s) -
Rachel Kidney,
Eithne Sexton,
Louise Van Galen,
Bernard Silke,
Prabath W.B. Nanayakkara,
John Kellett
Publication year - 2017
Publication title -
acute medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.14
H-Index - 12
eISSN - 1747-4892
pISSN - 1747-4884
DOI - 10.52964/amja.0644
Subject(s) - medicine , logistic regression , comorbidity , emergency medicine , hospital readmission , disease , database , medical emergency , intensive care medicine , computer science
Unplanned medical 30 day readmissions place a burden on the provision of acute hospital services and are increasingly used as quality indicators to assess quality of care in hospitals. Multivariable logistic regression of a 10 year database showed that four factors were most strongly associated with early readmission: Charlson comorbidity index >=1, respiratory disease as a principal diagnosis, liver disease and alcohol-related illness as an additional diagnosis, and the number of previous readmissions. Disease and patient-related factors beyond control of the hospital are the factors most strongly associated with 30 day readmission to hospital, suggesting that this may not be an appropriate quality indicator.