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本文引用的文献

1
Role of hospital strain in determining outcomes for people hospitalised with COVID-19 in England.医院菌株在确定英格兰因 COVID-19 住院患者的结局中的作用。
Emerg Med J. 2023 Aug;40(8):542-548. doi: 10.1136/emermed-2023-213329. Epub 2023 May 26.
2
A comparison of synthetic control approaches for the evaluation of policy interventions using observational data: Evaluating the impact of redesigning urgent and emergency care in Northumberland.使用观测数据评估政策干预的合成控制方法比较:评估在诺森伯兰重新设计紧急和急救护理的影响。
Health Serv Res. 2023 Apr;58(2):445-457. doi: 10.1111/1475-6773.14126. Epub 2023 Jan 5.
3
Data quality and autism: Issues and potential impacts.数据质量与自闭症:问题及潜在影响。
Int J Med Inform. 2023 Feb;170:104938. doi: 10.1016/j.ijmedinf.2022.104938. Epub 2022 Nov 28.
4
Data consistency in the English Hospital Episodes Statistics database.英国医院住院病例统计数据库的数据一致性。
BMJ Health Care Inform. 2022 Oct;29(1). doi: 10.1136/bmjhci-2022-100633.
5
COVID-19 hospital activity and in-hospital mortality during the first and second waves of the pandemic in England: an observational study.英格兰第一波和第二波大流行期间的 COVID-19 医院活动和院内死亡率:一项观察性研究。
Thorax. 2022 Nov;77(11):1113-1120. doi: 10.1136/thoraxjnl-2021-218025. Epub 2021 Nov 24.
6
Prognostic association of frailty with post-arrest outcomes following cardiac arrest: A systematic review and meta-analysis.衰弱与心搏骤停后预后结局的相关性:系统评价和荟萃分析。
Resuscitation. 2021 Oct;167:242-250. doi: 10.1016/j.resuscitation.2021.06.009. Epub 2021 Jun 21.
7
Remote management of covid-19 using home pulse oximetry and virtual ward support.利用家庭脉搏血氧饱和度仪和虚拟病房支持对新冠病毒病进行远程管理。
BMJ. 2021 Mar 25;372:n677. doi: 10.1136/bmj.n677.
8
Does the Clinical Frailty Scale at Triage Predict Outcomes From Emergency Care for Older People?分诊时的临床虚弱量表是否能预测老年人急诊治疗的结局?
Ann Emerg Med. 2021 Jun;77(6):620-627. doi: 10.1016/j.annemergmed.2020.09.006. Epub 2020 Dec 13.
9
Collider bias undermines our understanding of COVID-19 disease risk and severity.撞击器偏差破坏了我们对 COVID-19 疾病风险和严重程度的理解。
Nat Commun. 2020 Nov 12;11(1):5749. doi: 10.1038/s41467-020-19478-2.
10
Identifying unwarranted variation in clinical practice between healthcare providers in England: Analysis of administrative data over time for the Getting It Right First Time programme.识别英格兰医疗保健提供者之间临床实践中的不必要差异:针对“一次做对”计划的随时间变化的行政数据的分析。
J Eval Clin Pract. 2021 Aug;27(4):743-750. doi: 10.1111/jep.13477. Epub 2020 Sep 30.

英格兰医院急性内科住院患者的人口统计学、虚弱状况及多种健康状况与预后的关联:行政数据集的探索性分析

The association of demographics, frailty and multiple health conditions with outcomes from acute medical admissions to hospitals in England: exploratory analysis of an administrative dataset.

作者信息

Boasman Andrew, Jones Michael, Dyer Philip, Briggs Tim Wr, Gray William K

机构信息

Getting It Right First Time Programme, NHS England, London, UK.

Getting It Right First Time Programme, NHS England, London, UK, and consultant physician in acute medicine, County Durham and Darlington NHS Foundation Trust, Durham, UK.

出版信息

Future Healthc J. 2023 Nov;10(3):278-286. doi: 10.7861/fhj.2023-0014.

DOI:10.7861/fhj.2023-0014
PMID:38162202
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10753216/
Abstract

Emergency and acute hospital services in England are under increasing pressure. The aim of this study was to investigate the association between key case-mix indicators and outcomes for adults admitted to hospital with an acute medical condition in England. All patients aged ≥16 years admitted to hospital in England as an acute unselected medical admission and who survived to discharge during the financial year 2021-2022 were included. Length of hospital stay was the primary outcome of interest. Data were available for 1,586,168 unique patients. A case-mix index was developed with a score that ranged from 0 to 12. Frailty was the most important variable in the index, followed by multiple health conditions and patient age. The mean case-mix score across hospital trusts in England ranged from 5.3 to 7.8. The case-mix index will support initiatives to better understand factors contributing to outcomes from acute medical admissions to hospital.

摘要

英国的急诊和急性医院服务面临着越来越大的压力。本研究的目的是调查关键病例组合指标与在英国因急性疾病入院的成年患者结局之间的关联。纳入了所有年龄≥16岁、以急性非选择性医疗入院方式入住英国医院且在2021 - 2022财年存活至出院的患者。住院时间是主要关注的结局。有1,586,168名独特患者的数据可供使用。制定了一个病例组合指数,分数范围为0至12。虚弱是该指数中最重要的变量其次是多种健康状况和患者年龄。英国各医院信托机构的平均病例组合得分在5.3至7.8之间。病例组合指数将有助于开展相关举措,以更好地了解导致急性医疗入院患者结局的因素。