Hospital Readmissions - Independent Predictors of 30-day Readmissions derived from a 10 year Database

Rachel Kidney*, Eithne Sexton, Louise Van Galen, Bernard Silke, Prabath Nanayakkara, John Kellett

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

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: [1] Charlson comorbidity index >=1, [2] respiratory disease as a principal diagnosis, [3] liver disease and alcohol-related illness as an additional diagnosis, and [4] 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.

Original languageEnglish
Pages (from-to)4-9
Number of pages6
JournalAcute Medicine
Volume16
Issue number1
Publication statusPublished - 2017

Cite this

Kidney, R., Sexton, E., Van Galen, L., Silke, B., Nanayakkara, P., & Kellett, J. (2017). Hospital Readmissions - Independent Predictors of 30-day Readmissions derived from a 10 year Database. Acute Medicine, 16(1), 4-9.