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利用2004 - 2010年医院常规数据对英格兰的紧急30天再入院情况进行分类:减少的空间有多大?

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

作者信息

Blunt Ian, Bardsley Martin, Grove Amy, Clarke Aileen

机构信息

The Nuffield Trust, London, UK.

Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK.

出版信息

Emerg Med J. 2015 Jan;32(1):44-50. doi: 10.1136/emermed-2013-202531. Epub 2014 Mar 25.

Abstract

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.

摘要

背景

全球许多医疗系统都出台了相关规定,拒绝为因急诊再次入院的患者支付费用。本研究的目的是基于再次入院的可能原因进行探索性分类,然后评估这些不同类型的发生率。

方法

利用个人层面记录的匿名链接,对英格兰国家医疗服务体系(NHS)常规收集的8200万份医院记录(2004 - 2010年)进行回顾性分析。计算30天内再次入院的次数。使用与入院和再次入院的国际疾病分类(ICD)诊断代码相关的简单规则,对再次入院进行探索性分类。

结果

在6年期间,有5804472例急诊30天内再次入院,相当于医院出院人数的7.0%。再次入院被分为层次上相互排斥的类别:潜在可预防的再次入院(1739519例(占再次入院人数的30.0%));预期但不可预测的再次入院(患有慢性病或可能需要长期护理的患者;1141987例(19.7%));偏好相关的再次入院(53718例(0.9%));数据收集假象(16062例(0.3%));因事故、巧合或与不同身体系统相关导致的再次入院(1101818例(19.0%));广泛相关的再次入院(与同一身体系统相关的再次入院(1751368例(30.2%))。

结论

在这种探索性分类中,一大部分急诊再次入院(例如那些潜在可预防的或由于数据假象导致的)属于可能适合立即减少的类别。对于其他类别,医院减少急诊再次入院的能力尚不清楚。必须精心制定减少策略和支付激励措施,以实现既定目标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2616/4283684/761c3d8246d0/emermed-2013-202531f01.jpg

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