Suppr超能文献

利用常规收集的数据解释英国医院死亡率的差异。

Explaining differences in English hospital death rates using routinely collected data.

作者信息

Jarman B, Gault S, Alves B, Hider A, Dolan S, Cook A, Hurwitz B, Iezzoni L I

机构信息

Department of Primary Health Care and General Practice, Imperial College School of Medicine, London W2 1PG.

出版信息

BMJ. 1999 Jun 5;318(7197):1515-20. doi: 10.1136/bmj.318.7197.1515.

Abstract

OBJECTIVES

To ascertain hospital inpatient mortality in England and to determine which factors best explain variation in standardised hospital death ratios.

DESIGN

Weighted linear regression analysis of routinely collected data over four years, with hospital standardised mortality ratios as the dependent variable.

SETTING

England.

SUBJECTS

Eight million discharges from NHS hospitals when the primary diagnosis was one of the diagnoses accounting for 80% of inpatient deaths.

MAIN OUTCOME MEASURES

Hospital standardised mortality ratios and predictors of variations in these ratios.

RESULTS

The four year crude death rates varied across hospitals from 3.4% to 13.6% (average for England 8.5%), and standardised hospital mortality ratios ranged from 53 to 137 (average for England 100). The percentage of cases that were emergency admissions (60% of total hospital admissions) was the best predictor of this variation in mortality, with the ratio of hospital doctors to beds and general practitioners to head of population the next best predictors. When analyses were restricted to emergency admissions (which covered 93% of all patient deaths analysed) number of doctors per bed was the best predictor.

CONCLUSION

Analysis of hospital episode statistics reveals wide variation in standardised hospital mortality ratios in England. The percentage of total admissions classified as emergencies is the most powerful predictor of variation in mortality. The ratios of doctors to head of population served, both in hospital and in general practice, seem to be critical determinants of standardised hospital death rates; the higher these ratios, the lower the death rates in both cases.

摘要

目的

确定英格兰医院住院患者的死亡率,并确定哪些因素能最好地解释标准化医院死亡率的差异。

设计

对四年间常规收集的数据进行加权线性回归分析,以医院标准化死亡率作为因变量。

地点

英格兰。

研究对象

来自英国国家医疗服务体系(NHS)医院的八百万例出院病例,其主要诊断是占住院患者死亡80%的诊断之一。

主要观察指标

医院标准化死亡率及其差异的预测因素。

结果

各医院四年的粗死亡率在3.4%至13.6%之间(英格兰平均为8.5%),标准化医院死亡率在53至137之间(英格兰平均为100)。急诊入院病例的比例(占医院总入院人数的60%)是死亡率差异的最佳预测因素,其次是医院医生与床位的比例以及全科医生与人口总数的比例。当分析仅限于急诊入院病例时(涵盖了所分析的所有患者死亡的93%),每张床位的医生数量是最佳预测因素。

结论

对医院病历统计数据的分析显示,英格兰标准化医院死亡率存在很大差异。归类为急诊的总入院病例百分比是死亡率差异的最有力预测因素。医院和全科医疗中服务人口的医生比例似乎是标准化医院死亡率的关键决定因素;这些比例越高,两种情况下的死亡率越低。

相似文献

7
Mortality in high-risk emergency general surgical admissions.高危急诊普通外科患者的死亡率。
Br J Surg. 2013 Sep;100(10):1318-25. doi: 10.1002/bjs.9208. Epub 2013 Jul 17.

引用本文的文献

1
A 2-Year Retrospective Clinical Evaluation of a Novel Virtual Ward Model.新型虚拟病房模式的两年回顾性临床评估
J Prim Care Community Health. 2025 Jan-Dec;16:21501319251326750. doi: 10.1177/21501319251326750. Epub 2025 Mar 20.

本文引用的文献

3
Hospitals, heal yourselves.医院,先自我修复吧。
N Engl J Med. 1999 Jan 28;340(4):309-10. doi: 10.1056/NEJM199901283400410.
5
6
The risks of risk adjustment.风险调整的风险。
JAMA. 1997 Nov 19;278(19):1600-7. doi: 10.1001/jama.278.19.1600.
7
Indicators of clinical performance.临床绩效指标。
BMJ. 1997 Jul 19;315(7101):142. doi: 10.1136/bmj.315.7101.142.
8
Measuring the effects of casemix on outcomes.衡量病例组合对治疗结果的影响。
J Eval Clin Pract. 1996 May;2(2):111-21. doi: 10.1111/j.1365-2753.1996.tb00035.x.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验