Suppr超能文献

急诊科拥挤对分诊和住院决策的影响。

The effects of emergency department crowding on triage and hospital admission decisions.

机构信息

University of North Carolina Chapel Hill, Department of Statistics and Operations Research, 318 Hanes Hall, CB #3260, Chapel Hill, NC 27599-3260, United States of America.

University of North Carolina Chapel Hill, Department of Emergency Medicine, 170 Manning Dr., CB #7594, Chapel Hill, NC 27599-7594, United States of America.

出版信息

Am J Emerg Med. 2020 Apr;38(4):774-779. doi: 10.1016/j.ajem.2019.06.039. Epub 2019 Jun 26.

Abstract

BACKGROUND

Emergency department (ED) crowding is a recognized issue and it has been suggested that it can affect clinician decision-making.

OBJECTIVES

Our objective was to determine whether ED census was associated with changes in triage or disposition decisions made by ED nurses and physicians.

METHODS

We performed a retrospective study using one year of data obtained from a US academic center ED (65,065 patient encounters after cleaning). Using a cumulative logit model, we investigated the association between a patient's acuity group (low, medium, and high) and ED census at triage time. We also used multivariate logistic regression to investigate the association between the disposition decision for a patient (admit or discharge) and the ED census at the disposition decision time. In both studies, control variables included census, age, gender, race, place of treatment, chief complaint, and certain interaction terms.

RESULTS

We found statistically significant correlation between ED census and triage/disposition decisions. For each additional patient in the ED, the odds of being assigned a high acuity versus medium or low acuity at triage is 1.011 times higher (95% confidence interval [CI] for Odds Ratio [OR] = [1.009,1.012]), and the odds of being assigned medium or high acuity versus low acuity at triage is 1.009 times higher (95% CI for OR = [1.008,1.010]). Similarly, the odds of being admitted versus discharged increases by 1.007 times (95% CI for OR = [1.006,1.008]) per additional patient in the ED at the time of disposition decision.

CONCLUSION

Increased ED occupancy was found to be associated with more patients being classified as higher acuity as well as higher hospital admission rates. As an example, for a commonly observed patient category, our model predicts that as the ED occupancy increases from 25 to 75 patients, the probability of a patient being triaged as high acuity increases by about 50% and the probability of a patient being categorized as admit increases by around 25%.

摘要

背景

急诊部门(ED)拥挤是一个公认的问题,有人认为它会影响临床医生的决策。

目的

我们的目的是确定 ED 人数是否与 ED 护士和医生在分诊或处置决策时的变化有关。

方法

我们使用来自美国学术中心 ED 的一年数据(清洁后 65065 例患者就诊)进行了回顾性研究。使用累积对数模型,我们研究了患者 acuity 组(低、中、高)与分诊时 ED 人数之间的关联。我们还使用多变量逻辑回归研究了患者处置决策(入院或出院)与处置决策时 ED 人数之间的关联。在这两项研究中,控制变量包括人数、年龄、性别、种族、治疗地点、主要投诉以及某些交互项。

结果

我们发现 ED 人数与分诊/处置决策之间存在统计学上的显著相关性。每增加一名 ED 患者,被分配高 acuity 的几率比中或低 acuity 的几率高 1.011 倍(95%置信区间 [OR] 为 [1.009,1.012]),而被分配中或高 acuity 的几率比低 acuity 的几率高 1.009 倍(95% CI 为 OR 为 [1.008,1.010])。同样,在处置决策时,每增加一名 ED 患者,入院的几率增加 1.007 倍(95% CI 为 OR 为 [1.006,1.008])。

结论

发现 ED 入住率增加与更多患者被归类为更高 acuity 以及更高的住院率有关。例如,对于一个常见的观察患者类别,我们的模型预测,当 ED 入住人数从 25 人增加到 75 人时,患者被分诊为高 acuity 的概率增加约 50%,而患者被归类为入院的概率增加约 25%。

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