Suppr超能文献

急诊科候诊时间:原始数据能说明全部情况吗?

Emergency department waiting times: Do the raw data tell the whole story?

作者信息

Green Janette, Dawber James, Masso Malcolm, Eagar Kathy

机构信息

Australian Health Services Research Institute, Sydney Business School, iC Enterprise 1, Innovation Campus, University of Wollongong, NSW 2522, Australia. Email: , .

出版信息

Aust Health Rev. 2014 Feb;38(1):65-9. doi: 10.1071/AH13065.

Abstract

OBJECTIVE

To determine whether there are real differences in emergency department (ED) performance between Australian states and territories.

METHODS

Cross-sectional analysis of 2009-10 attendances at an ED contributing to the Australian non-admitted patient ED care database. The main outcome measure was difference in waiting time across triage categories.

RESULTS

There were more than 5.8 million ED attendances. Raw ED waiting times varied by a range of factors including jurisdiction, triage category, geographic location and hospital peer group. All variables were significant in a model designed to test the effect of jurisdiction on ED waiting times, including triage category, hospital peer group, patient socioeconomic status and patient remoteness. When the interaction between triage category and jurisdiction entered the model, it was found to have a significant effect on ED waiting times (P<0.001) and triage was also significant (P<0.001). Jurisdiction was no longer statistically significant (P=0.248 using all triage categories and 0.063 using only Australian Triage Scale 2 and 3).

CONCLUSIONS

Although the Council of Australian Governments has adopted raw measures for its key ED performance indicators, raw waiting time statistics are misleading. There are no consistent differences in ED waiting times between states and territories after other factors are accounted for. WHAT IS KNOWN ABOUT THE TOPIC? The length of time patients wait to be treated after presenting at an ED is routinely used to measure ED performance. In national health agreements with the federal government, each state and territory in Australia is expected to meet waiting time performance targets for the five ED triage categories. The raw data indicate differences in performance between states and territories. WHAT DOES THIS PAPER ADD? Measuring ED performance using raw data gives misleading results. There are no consistent differences in ED waiting times between the states and territories after other factors are taken into account. WHAT ARE THE IMPLICATIONS FOR PRACTITIONERS? Judgements regarding differences in performance across states and territories for triage waiting times need to take into account the mix of patients and the mix of hospitals.

摘要

目的

确定澳大利亚各州和领地的急诊科(ED)表现是否存在实际差异。

方法

对2009 - 10年澳大利亚非住院患者急诊科护理数据库中一个急诊科的就诊情况进行横断面分析。主要结局指标是不同分诊类别的等待时间差异。

结果

急诊科就诊人数超过580万。急诊科的原始等待时间因一系列因素而异,包括司法管辖区、分诊类别、地理位置和医院同类群组。在一个旨在测试司法管辖区对急诊科等待时间影响的模型中,所有变量均具有显著性,这些变量包括分诊类别、医院同类群组、患者社会经济状况和患者偏远程度。当分诊类别与司法管辖区之间的相互作用纳入模型时,发现其对急诊科等待时间有显著影响(P<0.001),分诊也具有显著性(P<0.001)。司法管辖区不再具有统计学显著性(使用所有分诊类别时P = 0.248,仅使用澳大利亚分诊量表2和3时P = 0.063)。

结论

尽管澳大利亚政府理事会已采用原始指标作为其关键的急诊科表现指标,但原始等待时间统计数据具有误导性。在考虑其他因素后,各州和领地之间的急诊科等待时间不存在一致差异。关于该主题已知的情况是什么?患者在急诊科就诊后等待治疗的时间长度通常用于衡量急诊科表现。在与联邦政府达成的国家卫生协议中,澳大利亚每个州和领地都应达到五个急诊科分诊类别的等待时间表现目标。原始数据表明各州和领地之间存在表现差异。本文补充了什么?使用原始数据衡量急诊科表现会得出误导性结果。在考虑其他因素后,各州和领地之间的急诊科等待时间不存在一致差异。对从业者有何启示?关于各州和领地分诊等待时间表现差异的判断需要考虑患者组合和医院组合。

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