Linking Ambulance Trip and Emergency Department Surveillance Data on Opioid-Related Overdose, Massachusetts, 2017

Linking Ambulance Trip and Emergency Department Surveillance Data on Opioid-Related Overdose, Massachusetts, 2017
复制标题

将救护车行程与急诊科阿片类药物相关过量监测数据联系起来,马萨诸塞州,2017 年

DOI:
10.1177/00333549211011626
复制
发表时间:
2021
期刊:
Public health reports (1974)
影响因子:
--
通讯作者:
Jeffrey Yu
Jeffrey Yu
中科院分区:
--
文献类型:
--
作者:
Catherine R. Rahilly;Arman Altincatal;Anna A. Agan;Stefanie P. Albert;R. Ergas;L. Larochelle;Jeffrey Yu

文献摘要

被引文献

相似文献

目的描述阿片类药物相关过量(ORO)患者的救护车行程和急诊(艾德)就诊之间联系的研究有限。我们将2017年4月1日至6月30日期间马萨诸塞州的救护车旅行和艾德访视记录中发生ORO的患者记录联系起来。方法:我们通过检查来自每个数据源的ORO样本的叙述和分类说明,估计ORO捕获定义的阳性预测值。由于缺乏共同的唯一标识符,我们确定性地将ORO与计数器数据集中的出生日期、事件日期、设施和性别的记录相关联。为了验证这种联系策略,我们比较了救护车行程叙述与艾德分诊记录和成对样本的主诉。结果在ORO的3203次救护车旅行和ORO的3046次艾德访问中,分别有82%和63%与出生日期,事件日期,设施和性别的计数器数据集中的记录相匹配。在从3006对记录的最终链接数据集中随机选择的200个链接对中,只有5个(3%)似乎是假匹配。实践意义这项工作证明了在没有唯一标识符的情况下将两个数据集之间的ORO记录联系起来的可行性。未来对关联数据的分析可能会产生单独分析任何一个数据集都无法获得的见解。使用2个快速可用数据集的关联可以积极告知该州的公共卫生阿片类药物过量反应,并允许对救护车、艾德或两者治疗的ORO进行重复计数。
Objectives Studies describing linkage of ambulance trips and emergency department (ED) visits of patients with opioid-related overdose (ORO) are limited. We linked records of patients experiencing ORO from ambulance trip and ED visit records in Massachusetts during April 1–June 30, 2017. Methods We estimated the positive predictive value of ORO-capturing definitions by examining the narratives and triage notes of a sample of OROs from each data source. Because of a lack of common unique identifiers, we deterministically linked OROs to records in the counter data set on date of birth, incident date, facility, and sex. To validate the linkage strategy, we compared ambulance trip narratives with ED triage notes and chief complaints for a sample of pairs. Results Of 3203 ambulance trips for ORO and 3046 ED visits for ORO, 82% and 63%, respectively, matched a record in the counter data set on date of birth, incident date, facility, and sex. In 200 randomly selected linked pairs from a final linked data set of 3006 paired records, only 5 (3%) appeared to be false matches. Practice Implications This exercise demonstrated the feasibility of linking ORO records between 2 data sets without a unique identifier. Future analyses of the linked data could produce insights not available from analyzing either data set alone. Linkage using 2 rapidly available data sets can actively inform the state’s public health opioid overdose response and allow for de-duplicating counts of OROs treated by ambulance, in an ED, or both.