Cargando…

Identifying Potentially Preventable Readmissions

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 preventab...

Descripción completa

Detalles Bibliográficos
Autores principales: Goldfield, Norbert I., McCullough, Elizabeth C., Hughes, John S., Tang, Ana M., Eastman, Beth, Rawlins, Lisa K., Averill, Richard F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: CENTERS for MEDICARE & MEDICAID SERVICES 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4195042/
https://www.ncbi.nlm.nih.gov/pubmed/19040175
_version_ 1782339242320461824
author Goldfield, Norbert I.
McCullough, Elizabeth C.
Hughes, John S.
Tang, Ana M.
Eastman, Beth
Rawlins, Lisa K.
Averill, Richard F.
author_facet Goldfield, Norbert I.
McCullough, Elizabeth C.
Hughes, John S.
Tang, Ana M.
Eastman, Beth
Rawlins, Lisa K.
Averill, Richard F.
author_sort Goldfield, Norbert I.
collection PubMed
description 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.
format Online
Article
Text
id pubmed-4195042
institution National Center for Biotechnology Information
language English
publishDate 2008
publisher CENTERS for MEDICARE & MEDICAID SERVICES
record_format MEDLINE/PubMed
spelling pubmed-41950422014-11-04 Identifying Potentially Preventable Readmissions Goldfield, Norbert I. McCullough, Elizabeth C. Hughes, John S. Tang, Ana M. Eastman, Beth Rawlins, Lisa K. Averill, Richard F. Health Care Financ Rev Disease Management 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. CENTERS for MEDICARE & MEDICAID SERVICES 2008 /pmc/articles/PMC4195042/ /pubmed/19040175 Text en
spellingShingle Disease Management
Goldfield, Norbert I.
McCullough, Elizabeth C.
Hughes, John S.
Tang, Ana M.
Eastman, Beth
Rawlins, Lisa K.
Averill, Richard F.
Identifying Potentially Preventable Readmissions
title Identifying Potentially Preventable Readmissions
title_full Identifying Potentially Preventable Readmissions
title_fullStr Identifying Potentially Preventable Readmissions
title_full_unstemmed Identifying Potentially Preventable Readmissions
title_short Identifying Potentially Preventable Readmissions
title_sort identifying potentially preventable readmissions
topic Disease Management
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4195042/
https://www.ncbi.nlm.nih.gov/pubmed/19040175
work_keys_str_mv AT goldfieldnorberti identifyingpotentiallypreventablereadmissions
AT mcculloughelizabethc identifyingpotentiallypreventablereadmissions
AT hughesjohns identifyingpotentiallypreventablereadmissions
AT tanganam identifyingpotentiallypreventablereadmissions
AT eastmanbeth identifyingpotentiallypreventablereadmissions
AT rawlinslisak identifyingpotentiallypreventablereadmissions
AT averillrichardf identifyingpotentiallypreventablereadmissions