Article info

Download PDFPDF

Evaluating the predictive strength of the LACE index in identifying patients at high risk of hospital readmission following an inpatient episode: a retrospective cohort study

Authors

  • Sarah Damery Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, UK PubMed articlesGoogle scholar articles
  • Gill Combes CLAHRC West Midlands Research Lead for Chronic Diseases Theme, Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, UK PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Sarah Damery; s.l.damery{at}bham.ac.uk
View Full Text

Citation

Damery S, Combes G
Evaluating the predictive strength of the LACE index in identifying patients at high risk of hospital readmission following an inpatient episode: a retrospective cohort study

Publication history

  • Received March 20, 2017
  • Revised May 4, 2017
  • Accepted May 17, 2017
  • First published July 13, 2017.
Online issue publication 
December 24, 2019

Request permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.