Predicting 30-Day Readmissions in an Asian Population: Building a Predictive Model by Incorporating Markers of Hospitalization Severity-Reference-Cited by-同舟云学术

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Predicting 30-Day Readmissions in an Asian Population: Building a Predictive Model by Incorporating Markers of Hospitalization Severity

Published:2016-12-09 Issue:12 Volume:11 Page:e0167413
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Low Lian Leng,Liu Nan,Wang Sijia,Thumboo Julian,Ong Marcus Eng Hock,Lee Kheng Hock

Funder

Ministry of Health -Singapore

SingHealth Foundation

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference45 articles.

1. Effectiveness of a national transitional care program in reducing acute care use;SL Wee;J Am Geriatr Soc,2014

2. Reducing hospital readmission rates: current strategies and future directions;S Kripalani;Annu Rev Med,2014

3. Differences between early and late readmissions among patients: a cohort study;KL Graham;Ann Intern Med,2015

4. Centers for Medicare and Medicaid Services (2014) Readmissions Reduction Program.

5. Risk prediction models for hospital readmission: a systematic review;D Kansagara;JAMA,2011

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