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Classifying emergency 30-day readmissions in England using routine hospital data 2004–2010: what is the scope for reduction?

BACKGROUND: Many health systems across the globe have introduced arrangements to deny payment for patients readmitted to hospital as an emergency. The purpose of this study was to develop an exploratory categorisation based on likely causes of readmission, and then to assess the prevalence of these...

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Autores principales: Blunt, Ian, Bardsley, Martin, Grove, Amy, Clarke, Aileen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4283684/
https://www.ncbi.nlm.nih.gov/pubmed/24668396
http://dx.doi.org/10.1136/emermed-2013-202531
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author Blunt, Ian
Bardsley, Martin
Grove, Amy
Clarke, Aileen
author_facet Blunt, Ian
Bardsley, Martin
Grove, Amy
Clarke, Aileen
author_sort Blunt, Ian
collection PubMed
description BACKGROUND: Many health systems across the globe have introduced arrangements to deny payment for patients readmitted to hospital as an emergency. The purpose of this study was to develop an exploratory categorisation based on likely causes of readmission, and then to assess the prevalence of these different types. METHODS: Retrospective analysis of 82 million routinely collected National Health Service hospital records in England (2004–2010) was undertaken using anonymised linkage of records at person-level. Numbers of 30-day readmissions were calculated. Exploratory categorisation of readmissions was applied using simple rules relating to International Classification of Diseases (ICD) diagnostic codes for both admission and readmission. RESULTS: There were 5 804 472 emergency 30-day readmissions over a 6-year period, equivalent to 7.0% of hospital discharges. Readmissions were grouped into hierarchically exclusive categories: potentially preventable readmission (1 739 519 (30.0% of readmissions)); anticipated but unpredictable readmission (patients with chronic disease or likely to need long-term care; 1 141 987 (19.7%)); preference-related readmission (53 718 (0.9%)); artefact of data collection (16 062 (0.3%)); readmission as a result of accident, coincidence or related to a different body system (1 101 818 (19.0%)); broadly related readmission (readmission related to the same body system (1 751 368 (30.2%)). CONCLUSIONS: In this exploratory categorisation, a large minority of emergency readmissions (eg, those that are potentially preventable or due to data artefacts) fell into groups potentially amenable to immediate reduction. For other categories, a hospital's ability to reduce emergency readmission is less clear. Reduction strategies and payment incentives must be carefully tailored to achieve stated aims.
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spelling pubmed-42836842015-01-08 Classifying emergency 30-day readmissions in England using routine hospital data 2004–2010: what is the scope for reduction? Blunt, Ian Bardsley, Martin Grove, Amy Clarke, Aileen Emerg Med J Original Article BACKGROUND: Many health systems across the globe have introduced arrangements to deny payment for patients readmitted to hospital as an emergency. The purpose of this study was to develop an exploratory categorisation based on likely causes of readmission, and then to assess the prevalence of these different types. METHODS: Retrospective analysis of 82 million routinely collected National Health Service hospital records in England (2004–2010) was undertaken using anonymised linkage of records at person-level. Numbers of 30-day readmissions were calculated. Exploratory categorisation of readmissions was applied using simple rules relating to International Classification of Diseases (ICD) diagnostic codes for both admission and readmission. RESULTS: There were 5 804 472 emergency 30-day readmissions over a 6-year period, equivalent to 7.0% of hospital discharges. Readmissions were grouped into hierarchically exclusive categories: potentially preventable readmission (1 739 519 (30.0% of readmissions)); anticipated but unpredictable readmission (patients with chronic disease or likely to need long-term care; 1 141 987 (19.7%)); preference-related readmission (53 718 (0.9%)); artefact of data collection (16 062 (0.3%)); readmission as a result of accident, coincidence or related to a different body system (1 101 818 (19.0%)); broadly related readmission (readmission related to the same body system (1 751 368 (30.2%)). CONCLUSIONS: In this exploratory categorisation, a large minority of emergency readmissions (eg, those that are potentially preventable or due to data artefacts) fell into groups potentially amenable to immediate reduction. For other categories, a hospital's ability to reduce emergency readmission is less clear. Reduction strategies and payment incentives must be carefully tailored to achieve stated aims. BMJ Publishing Group 2015-01 2014-03-25 /pmc/articles/PMC4283684/ /pubmed/24668396 http://dx.doi.org/10.1136/emermed-2013-202531 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Original Article
Blunt, Ian
Bardsley, Martin
Grove, Amy
Clarke, Aileen
Classifying emergency 30-day readmissions in England using routine hospital data 2004–2010: what is the scope for reduction?
title Classifying emergency 30-day readmissions in England using routine hospital data 2004–2010: what is the scope for reduction?
title_full Classifying emergency 30-day readmissions in England using routine hospital data 2004–2010: what is the scope for reduction?
title_fullStr Classifying emergency 30-day readmissions in England using routine hospital data 2004–2010: what is the scope for reduction?
title_full_unstemmed Classifying emergency 30-day readmissions in England using routine hospital data 2004–2010: what is the scope for reduction?
title_short Classifying emergency 30-day readmissions in England using routine hospital data 2004–2010: what is the scope for reduction?
title_sort classifying emergency 30-day readmissions in england using routine hospital data 2004–2010: what is the scope for reduction?
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4283684/
https://www.ncbi.nlm.nih.gov/pubmed/24668396
http://dx.doi.org/10.1136/emermed-2013-202531
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