Suppr超能文献

利用紧急医疗服务数据实时监测非致命类阿片类药物过量:案例定义的制定、验证和应用,罗得岛,2018 年。

Using Emergency Medical Services Data to Monitor Nonfatal Opioid Overdoses in Real Time : Development, Validation, and Use of a Case Definition, Rhode Island, 2018.

机构信息

6749 Rhode Island Department of Health, Providence, RI, USA.

出版信息

Public Health Rep. 2021 Nov-Dec;136(1_suppl):40S-46S. doi: 10.1177/00333549211018989.

Abstract

OBJECTIVE

No case definition exists that allows public health authorities to accurately identify opioid overdoses using emergency medical services (EMS) data. We developed and evaluated a case definition for suspected nonfatal opioid overdoses in EMS data.

METHODS

To identify suspected opioid overdose-related EMS runs, in 2019 the Rhode Island Department of Health (RIDOH) developed a case definition using the primary impression, secondary impression, selection of naloxone in the dropdown field for medication given, indication of medication response in a dropdown field, and keyword search of the report narrative. We developed the case definition with input from EMS personnel and validated it using an iterative process of random medical record review. We used naloxone administration in consideration with other factors to avoid misclassification of opioid overdoses.

RESULTS

In 2018, naloxone was administered during 2513 EMS runs in Rhode Island, of which 1501 met our case definition of a nonfatal opioid overdose. Based on a review of 400 randomly selected EMS runs in which naloxone was administered, the RIDOH case definition accurately identified 90.0% of opioid overdoses and accurately excluded 83.3% of non-opioid overdose-related EMS runs. Use of the case definition enabled analyses that identified key patterns in overdose locations, people who experienced repeat overdoses, and the creation of hotspot maps to inform outbreak detection and response.

PRACTICE IMPLICATIONS

EMS data can be an effective tool for monitoring overdoses in real time and informing public health practice. To accurately identify opioid overdose-related EMS runs, the use of a comprehensive case definition is essential.

摘要

目的

目前尚无病例定义可使公共卫生部门能够使用紧急医疗服务(EMS)数据准确识别阿片类药物过量。我们开发并评估了一种用于 EMS 数据中疑似非致命阿片类药物过量的病例定义。

方法

为了识别疑似阿片类药物过量相关的 EMS 运行,2019 年,罗德岛卫生署(RIDOH)使用主要印象、次要印象、在下拉字段中选择纳洛酮给药、在下拉字段中指示药物反应以及报告叙述的关键字搜索,制定了疑似阿片类药物过量相关的 EMS 运行的病例定义。我们在制定病例定义时征求了 EMS 人员的意见,并通过反复审查医疗记录的迭代过程对其进行了验证。我们将纳洛酮给药与其他因素结合使用,以避免阿片类药物过量的错误分类。

结果

2018 年,罗德岛共有 2513 次 EMS 运行中使用了纳洛酮,其中 1501 次符合我们的非致命阿片类药物过量病例定义。根据对 400 次随机选择的纳洛酮给药的 EMS 运行进行的审查,RIDOH 病例定义准确识别了 90.0%的阿片类药物过量,准确排除了 83.3%的非阿片类药物过量相关的 EMS 运行。该病例定义的使用使我们能够进行分析,识别出了阿片类药物过量地点、经历重复过量的人群的关键模式,并创建热点地图,以提供爆发检测和应对的信息。

实践意义

EMS 数据可以是实时监测药物过量和为公共卫生实践提供信息的有效工具。为了准确识别阿片类药物过量相关的 EMS 运行,使用全面的病例定义是必不可少的。

相似文献

10
Examination of the Accuracy of Existing Overdose Surveillance Systems.考察现有过量用药监测系统的准确性。
JAMA Netw Open. 2023 Jun 1;6(6):e2320789. doi: 10.1001/jamanetworkopen.2023.20789.

引用本文的文献

本文引用的文献

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