Skip to main content

Main menu

  • HOME
  • ARTICLES
    • Current Issue
    • Ahead of Print
    • Archives
    • Abstracts In Press
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • Other Publications
    • abfm

User menu

Search

  • Advanced search
American Board of Family Medicine
  • Other Publications
    • abfm
American Board of Family Medicine

American Board of Family Medicine

Advanced Search

  • HOME
  • ARTICLES
    • Current Issue
    • Ahead of Print
    • Archives
    • Abstracts In Press
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • JABFM on Bluesky
  • JABFM On Facebook
  • JABFM On Twitter
  • JABFM On YouTube
Research ArticleOriginal Research

Admission Data Predict High Hospital Readmission Risk

Everett Logue, William Smucker and Christine Regan
The Journal of the American Board of Family Medicine January 2016, 29 (1) 50-59; DOI: https://doi.org/10.3122/jabfm.2016.01.150127
Everett Logue
From the Department of Family Medicine, Summa Health System, Akron, OH.
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
William Smucker
From the Department of Family Medicine, Summa Health System, Akron, OH.
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Christine Regan
From the Department of Family Medicine, Summa Health System, Akron, OH.
DO
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • References
  • Info & Metrics
  • PDF
Loading

Article Information

vol. 29 no. 1 50-59
DOI 
https://doi.org/10.3122/jabfm.2016.01.150127
PubMed 
26769877

Published By 
The Journal of the American Board of Family Medicine
Print ISSN 
1557-2625
Online ISSN 
1558-7118
History 
  • Received for publication April 15, 2015
  • Revision received September 28, 2015
  • Accepted for publication October 1, 2015
  • Published online January 14, 2016.

Copyright & Usage 
© Copyright 2016 by the American Board of Family Medicine.

Author Information

  1. Everett Logue, PhD,
  2. William Smucker, MD and
  3. Christine Regan, DO
  1. From the Department of Family Medicine, Summa Health System, Akron, OH.
  1. Corresponding author: Everett Logue, PhD, Department of Family Medicine, Summa Health System, 525 East Market St, Room 285, Akron, OH 44309-2090 (Email: LogueE{at}summahealth.org).
  1. Prior presentation: This work was presented by CR as “Can Data Available on Admission Predict High Risk for Readmission?” and was the first-place winner at the 25th Annual Family Medicine Resident Scholarship Day, Northeastern Ohio Medical University, Rootstown, OH, May 21, 2014.

View Full Text

Cited By...

  • 27 Citations
  • Google Scholar
PreviousNext
Back to top

In this issue

The Journal of the American Board of Family     Medicine: 29 (1)
The Journal of the American Board of Family Medicine
Vol. 29, Issue 1
January-February 2016
  • Table of Contents
  • Table of Contents (PDF)
  • Cover (PDF)
  • Index by author
  • Back Matter (PDF)
  • Front Matter (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on American Board of Family Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Admission Data Predict High Hospital Readmission Risk
(Your Name) has sent you a message from American Board of Family Medicine
(Your Name) thought you would like to see the American Board of Family Medicine web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
4 + 7 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Admission Data Predict High Hospital Readmission Risk
Everett Logue, William Smucker, Christine Regan
The Journal of the American Board of Family Medicine Jan 2016, 29 (1) 50-59; DOI: 10.3122/jabfm.2016.01.150127

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Admission Data Predict High Hospital Readmission Risk
Everett Logue, William Smucker, Christine Regan
The Journal of the American Board of Family Medicine Jan 2016, 29 (1) 50-59; DOI: 10.3122/jabfm.2016.01.150127
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Purpose
    • Methods
    • Results
    • Discussion
    • Conclusion
    • Acknowledgments
    • Notes
    • References
  • Figures & Data
  • References
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Predictors of readmission and mortality in adults with diabetes or stress hyperglycemia after initial hospitalization for COVID-19
  • Use of electronic medical records in development and validation of risk prediction models of hospital readmission: systematic review
  • Modelling care quality for patients after a transient ischaemic attack within the US Veterans Health Administration
  • Predictors of 30-day hospital readmission: The direct comparison of number of discharge medications to the HOSPITAL score and LACE index
  • Are Patients Frequently Readmitted to the Hospital Different from the Other Admitted Patients?
  • Family Medicine Research That Provides Compelling, Urgent Data to Improve Patient Care
  • Google Scholar

More in this TOC Section

  • Successful Implementation of Integrated Behavioral Health
  • Identifying and Addressing Social Determinants of Health with an Electronic Health Record
  • Integrating Adverse Childhood Experiences and Social Risks Screening in Adult Primary Care
Show more Original Research

Similar Articles

Keywords

  • Comorbidity
  • Hospital Readmission
  • Polypharmacy
  • Risk

Navigate

  • Home
  • Current Issue
  • Past Issues

Authors & Reviewers

  • Info For Authors
  • Info For Reviewers
  • Submit A Manuscript/Review

Other Services

  • Get Email Alerts
  • Classifieds
  • Reprints and Permissions

Other Resources

  • Forms
  • Contact Us
  • ABFM News

© 2025 American Board of Family Medicine

Powered by HighWire