Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here to sign up for SAGE Journal Email Alerts today!

Sign In to gain access to subscriptions and/or personal tools.
Evaluation & the Health Professions
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by DesHarnais, S.
Right arrow Articles by Fleming, S.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by DesHarnais, S.
Right arrow Articles by Fleming, S.
Social Bookmarking
Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Changes in Rates of Unscheduled Hospital Readmissions and Changes in Efficiency Following the Introduction of the Medicare Prospective Payment System

An Analysis Using Risk-Adjusted Data

Susan DesHarnais

University of North Carolina-Chapel Hill

Andrew J. Hogan

Michigan State University

Laurence F. McMahon, Jr.

University of Michigan Medical Center

Steven Fleming

University of Missouri-Columbia

The purpose of this study was to analyze changes in rates of unscheduled readmissions and changes in technical efficiency following the introduction of the Medicare Prospective Payment System (PPS). We developed the RiskAdjusted Readmissions Index (RARI), which allowed us to make comparisons in rates of unanticipated readmissions across hospitals and over time. Data envelopment analysis (DEA), a linear programming technique, was used to measure changes in technical efficiency by comparing the inputs used and the outputs produced across a cohort of hospitals, while adjusting for changes over time in case mix and case complexity. Rates of unscheduled readmissions and efficiency scores were computed for a sample of 245 hospitals for each year. Although both readmission rates and efficiency scores increased for most hospitals, there was no evidence that those hospitals that experienced the greatest increases in efficiency had the largest increases in their rates of unscheduled readmissions.

Evaluation & the Health Professions, Vol. 14, No. 2, 228-252 (1991)
DOI: 10.1177/016327879101400206
Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
 J Am Med Inform AssocHome page
A. H Zai, K. M Farr, R. W Grant, E. Mort, T. G Ferris, and H. C Chueh
Queuing Theory to Guide the Implementation of a Heart Failure Inpatient Registry Program
JAMIA, July 1, 2009; 16(4): 516 - 523.
[Abstract] [Full Text] [PDF]

Home page
 J. Am. Med. Inform. Assoc.Home page
A. H. Zai, K. M. Farr, R. W. Grant, E. Mort, T. G. Ferris, and H. C. Chueh
Queuing Theory to Guide the Implementation of a Heart Failure Inpatient Registry Program
J. Am. Med. Inform. Assoc., July 1, 2009; 16(4): 516 - 523.
[Abstract] [Full Text] [PDF]

Home page
 JAMAHome page
C. O. Phillips, S. M. Wright, D. E. Kern, R. M. Singa, S. Shepperd, and H. R. Rubin
Comprehensive Discharge Planning With Postdischarge Support for Older Patients With Congestive Heart Failure: A Meta-analysis
JAMA, March 17, 2004; 291(11): 1358 - 1367.
[Abstract] [Full Text] [PDF]