Suppr超能文献

测量急诊科拥挤程度:意大利伦巴第省 NEDOCS 的评估,以及基于首次临床评估等待时间的新客观指标的开发。

Measuring the crowding of emergency departments: an assessment of the NEDOCS in Lombardy, Italy, and the development of a new objective indicator based on the waiting time for the first clinical assessment.

机构信息

Laboratory of Clinical Epidemiology, Department of Medical Epidemiology, Istituto Di Ricerche Farmacologiche Mario Negri IRCCS, Ranica, BG, Italy.

Emergency Unit, Ospedale Di Circolo Di Varese and Department of Medicine and Surgery, University of Insubria, Varese, VA, Italy.

出版信息

BMC Emerg Med. 2024 Oct 17;24(1):196. doi: 10.1186/s12873-024-01112-9.

Abstract

BACKGROUND

There is no ubiquitous definition of Emergency Department (ED) crowding and several indicators have been proposed to measure it. The National ED Overcrowding Study (NEDOCS) score is among the most popular, even though it has been severely criticised. We used the waiting time for the physician's initial assessment to evaluate the performance of the NEDOCS and proposed a new crowding indicator based on this objective measure.

METHODS

To evaluate the NEDOCS, we used the 2022 data of all the Lombardy EDs and compared the distribution of waiting times across the five levels of the NEDOCS at ED arrival. To construct the new indicator, we estimated the centre-specific relationship between the total number of ED patients and the waiting time of those with minor or deferrable urgency. We defined seven classes of waiting times and calculated how many patients corresponded to an average waiting time in the classes. These centre-specific cutoffs were used to define the 7-level crowding indicator. The indicator was then compared to the NEDOCS score and validated on the first six months of 2023 data.

RESULTS

Patients' waiting time did not increase at the increase of the NEDOCS score, suggesting the absence of a relationship between this score and the effect of ED crowding on the ED capacity of evaluating new patients. The indicator we propose is easy to estimate in real-time and based on centre-specific cutoffs, which depend on the volume of yearly accesses. We observed minimal agreement between the proposed indicator and the NEDOCS in most EDs, both in the development and validation datasets.

CONCLUSIONS

We proposed to quantify ED crowding using the waiting time for physician's initial assessment of patients with minor or deferrable urgency, which increases in crowding situations due to the prioritization of urgent patients. The centre-specific cutoffs avoid the problem of the heterogeneity of the volume of accesses and organization among EDs, while enabling a fair comparison between centres.

摘要

背景

目前尚无普遍适用的急诊(ED)拥堵定义,已经提出了几种指标来衡量它。国家 ED 拥堵研究(NEDOCS)评分是最受欢迎的评分之一,尽管它受到了严厉的批评。我们使用医生初步评估的等待时间来评估 NEDOCS 的性能,并基于此客观测量提出了一个新的拥堵指标。

方法

为了评估 NEDOCS,我们使用了 2022 年所有伦巴第 ED 的数据,并比较了 ED 到达时 NEDOCS 五个级别之间的等待时间分布。为了构建新指标,我们估计了特定中心 ED 患者总数与轻微或可推迟紧急情况患者的等待时间之间的关系。我们定义了七个等待时间类别,并计算了每个类别中平均等待时间对应的患者数量。这些特定中心的截止值用于定义 7 级拥堵指标。然后将该指标与 NEDOCS 评分进行比较,并在 2023 年上半年的前六个月数据上进行验证。

结果

患者的等待时间并没有随着 NEDOCS 评分的增加而增加,这表明该评分与 ED 拥堵对 ED 评估新患者能力的影响之间没有关系。我们提出的指标易于实时估计,并且基于特定中心的截止值,这些截止值取决于每年访问量的大小。我们发现,在大多数 ED 中,无论是在开发数据集还是验证数据集中,所提出的指标与 NEDOCS 之间的一致性都很小。

结论

我们建议使用轻度或可推迟紧急情况患者的医生初步评估的等待时间来量化 ED 拥堵情况,因为优先处理紧急患者会导致等待时间增加。特定中心的截止值避免了 ED 之间访问量和组织异质性的问题,同时使中心之间能够进行公平比较。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f83/11488125/551655fb9187/12873_2024_1112_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验