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2020 年 NEMSIS 公开研究数据集描述。

Description of the 2020 NEMSIS Public-Release Research Dataset.

机构信息

National Emergency Medical Services (NEMSIS) Technical Assistance Center, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah.

出版信息

Prehosp Emerg Care. 2023;27(4):473-481. doi: 10.1080/10903127.2022.2079779. Epub 2022 Jun 28.

Abstract

BACKGROUND

The National Emergency Medical Services Information System (NEMSIS) is a federally funded program designed to standardize Emergency Medical Services (EMS) patient care reporting and facilitate state and national data repositories for the assessment and improvement of EMS systems of care. This manuscript characterizes the 2020 submissions to the National EMS Database, detailing the strengths and limitations associated with use of these data for public health surveillance, improving prehospital patient care, critical resource allocation, clinician safety, system quality assurance and research purposes.

METHODOLOGY

Using the 2020 NEMSIS Public-Release Research Dataset (NEMSIS dataset), we evaluated the dataset completeness (i.e., presence of missing/null values), dataset content and assessed data generalizability. The analysis focused on 9-1-1 EMS activations resulting in the treatment and transport of a patient, except for out-of-hospital cardiac arrests for which all patients were included regardless of transport status.

RESULTS

In 2020, 43,488,767 EMS activations were reported to the National EMS Database by 12,319 agencies serving 50 states and territories. Of the 19,533,036 9-1-1 EMS activations reportedly treating and transporting a patient, the majority were attended by "non-volunteer" clinicians (77%) working in a fire-based EMS agency (35%) certified to offer Advanced Life Support (ALS) Paramedic service (80%) and located in an urban area (82%). 9-1-1 call centers most often dispatched EMS for "sick person" (20%), while EMS clinicians most likely reported asthenia (7%) as the patient's primary symptom as well as the clinician's primary impression (6%), and documented "fall on same level, slip, or trip" as the most common cause of injury (37%). The NEMSIS dataset demonstrates some "missingness" and element inconsistencies, but methods may be employed to mitigate these data limitations.

CONCLUSIONS

The National EMS Database is a free and publicly available resource for evaluating EMS system utilization, response, and prehospital patient care. Understanding the characteristics of the underlying dataset and known data limitations will help ensure proper analysis and reporting of research and quality metrics based on nationally standardized NEMSIS data.

摘要

背景

国家紧急医疗服务信息系统(NEMSIS)是一个由联邦政府资助的项目,旨在标准化紧急医疗服务(EMS)患者护理报告,并为评估和改善 EMS 护理系统建立州和国家数据存储库。本文描述了 2020 年向国家 EMS 数据库提交的内容,详细说明了使用这些数据进行公共卫生监测、改善院前患者护理、关键资源分配、临床医生安全、系统质量保证和研究目的的优势和局限性。

方法

使用 2020 年 NEMSIS 公共发布研究数据集(NEMSIS 数据集),我们评估了数据集的完整性(即是否存在缺失/空值)、数据集内容并评估了数据的通用性。该分析重点关注导致患者接受治疗和转运的 9-1-1 EMS 激活,不包括院外心脏骤停,因为所有患者均包括在其中,无论转运情况如何。

结果

2020 年,全国有 12319 个机构向国家 EMS 数据库报告了 43488767 次 EMS 激活,这些机构服务于 50 个州和地区。在报告的 19533036 次治疗和转运患者的 9-1-1 EMS 激活中,大多数由在消防为基础的 EMS 机构工作的“非志愿者”临床医生(77%)处理,这些机构获得了提供高级生命支持(ALS)护理的认证(80%),并位于城市地区(82%)。9-1-1 呼叫中心最常派遣 EMS 人员处理“病人”(20%),而 EMS 临床医生最有可能报告乏力(7%)作为患者的主要症状,以及临床医生的主要印象(6%),并记录“在同一水平跌倒、滑倒或绊倒”作为最常见的伤害原因(37%)。NEMSIS 数据集显示出一些“缺失”和元素不一致,但可以采用方法来减轻这些数据限制。

结论

国家 EMS 数据库是一个免费的公共资源,可用于评估 EMS 系统的利用、响应和院前患者护理。了解基础数据集的特征和已知的数据限制将有助于确保基于全国标准化 NEMSIS 数据进行适当的分析和报告研究和质量指标。

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