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. 2008 Fall;30(1):75-91.

Identifying potentially preventable readmissions

Norbert I Goldfield  1 , Elizabeth C McCullough, John S Hughes, Ana M Tang, Beth Eastman, Lisa K Rawlins, Richard F Averill
Affiliations

Identifying potentially preventable readmissions

Norbert I Goldfield et al. Health Care Financ Rev. 2008 Fall.

Abstract

The potentially preventable readmission (PPR) method uses administrative data to identify hospital readmissions that may indicate problems with quality of care. The PPR logic determines whether the reason for readmission is clinically related to a prior admission, and therefore potentially preventable. The likelihood of a PPR was found to be dependent on severity of illness, extremes of age, and the presence of mental health diagnoses. Analyses using PPRs show that readmission rates increase with increasing severity of illness and increasing time between admission and readmission, vary by the type of prior admission, and are stable within hospitals over time.

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Figures

Figure 1
Figure 1. Potentially Preventable Readmission (PPR) Analysis of Florida Data for Readmissions to Any Hospital With a 15-Day Readmission Time Interval
Figure 2
Figure 2. Number of Potentially Preventable Readmission (PPR) Chains, by Readmission Time Interval up to 30 Days
Figure 3
Figure 3. Difference Between the Actual/Expected (A/E) Potentially Preventable Readmission (PPR) Rate at Each hospital
See this image and copyright information in PMC

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