Using syndromic surveillance for unintentional and undetermined intent drowning surveillance in a large metropolitan area.

IF 2.4 3区医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Injury Epidemiology Pub Date : 2024-09-26 DOI:10.1186/s40621-024-00529-x

Rohit P Shenoi, Briana Moreland, Jennifer L Jones, Nicholas Peoples, Elizabeth A Camp, Ned Levine

{"title":"Using syndromic surveillance for unintentional and undetermined intent drowning surveillance in a large metropolitan area.","authors":"Rohit P Shenoi, Briana Moreland, Jennifer L Jones, Nicholas Peoples, Elizabeth A Camp, Ned Levine","doi":"10.1186/s40621-024-00529-x","DOIUrl":null,"url":null,"abstract":"Introduction: A drowning definition is available for use with National Syndromic Surveillance Program (NSSP) data. However, its accuracy in capturing drowning emergency department and urgent care visits at the regional level is unknown. We tested the ability of the syndromic surveillance (SS) definition in capturing unintentional and undetermined intent drowning (UUID) and describe UUID SS visit trends in a large metropolitan area.Methods: We applied the drowning definition to NSSP data from 2016 to 2022 for the 8-county metropolitan Houston region. We queried the dataset for UUID ICD-10-CM codes and manually reviewed the chief complaint (CC) and discharge diagnosis (DD) for SS visits. True-positives were calculated by dividing the number of UUID cases identified by UUID ICD-10-CM codes and CC/DD review by the total visits captured by the SS definition. Demographics and trends of UUID visits were calculated from 2018 to 2022 due to limited data from 2016 to 2017 in NSSP.Results: 2,759 visits were captured by the SS definition. After case review, 2,019 (73.2%) had ICD-10-CM drowning codes of any intent; and 2,015 of those (99.8%) were classified as UUID. Of the remaining 740 cases with no ICD-10-CM codes that were pulled by the SS definition, 690 (93.2%) had a CC/DD diagnosis of drowning/submersion/underwater related to aquatic exposure. Taken together, 2,705 (98.0%) were true-positive UUID visits based on the SS drowning definition.. Children (aged < 18 years) constituted 79% of UUID visits. Black, White and Asian/Pacific Islander persons comprised 17%, 60% and 4% of UUID visits respectively. Rates of UUID visits were lowest in 2020.Conclusion: Syndromic surveillance is a novel and accurate method to conduct real-time drowning surveillance in a large metropolitan region.","PeriodicalId":37379,"journal":{"name":"Injury Epidemiology","volume":"11 Suppl 1","pages":"52"},"PeriodicalIF":2.4000,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11426074/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Injury Epidemiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s40621-024-00529-x","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}

引用次数: 0

Abstract

Introduction: A drowning definition is available for use with National Syndromic Surveillance Program (NSSP) data. However, its accuracy in capturing drowning emergency department and urgent care visits at the regional level is unknown. We tested the ability of the syndromic surveillance (SS) definition in capturing unintentional and undetermined intent drowning (UUID) and describe UUID SS visit trends in a large metropolitan area.

Methods: We applied the drowning definition to NSSP data from 2016 to 2022 for the 8-county metropolitan Houston region. We queried the dataset for UUID ICD-10-CM codes and manually reviewed the chief complaint (CC) and discharge diagnosis (DD) for SS visits. True-positives were calculated by dividing the number of UUID cases identified by UUID ICD-10-CM codes and CC/DD review by the total visits captured by the SS definition. Demographics and trends of UUID visits were calculated from 2018 to 2022 due to limited data from 2016 to 2017 in NSSP.

Results: 2,759 visits were captured by the SS definition. After case review, 2,019 (73.2%) had ICD-10-CM drowning codes of any intent; and 2,015 of those (99.8%) were classified as UUID. Of the remaining 740 cases with no ICD-10-CM codes that were pulled by the SS definition, 690 (93.2%) had a CC/DD diagnosis of drowning/submersion/underwater related to aquatic exposure. Taken together, 2,705 (98.0%) were true-positive UUID visits based on the SS drowning definition.. Children (aged < 18 years) constituted 79% of UUID visits. Black, White and Asian/Pacific Islander persons comprised 17%, 60% and 4% of UUID visits respectively. Rates of UUID visits were lowest in 2020.

Conclusion: Syndromic surveillance is a novel and accurate method to conduct real-time drowning surveillance in a large metropolitan region.

查看原文本刊更多论文

在一个大都市地区利用综合症监测对无意溺水和意图不明的溺水进行监测。

导言：溺水的定义可用于国家综合症监测计划 (NSSP) 数据。然而，该定义在地区一级捕获溺水急诊和紧急护理就诊的准确性尚不清楚。我们测试了综合症监测（SS）定义捕获无意和未确定意图溺水（UUID）的能力，并描述了一个大都市地区 UUID SS 就诊趋势：我们将溺水定义应用于休斯顿 8 县大都会地区 2016 年至 2022 年的 NSSP 数据。我们查询了数据集中的 UUID ICD-10-CM 代码，并人工审核了溺水就诊的主诉 (CC) 和出院诊断 (DD)。通过 UUID ICD-10-CM 代码和 CC/DD 复核确定的 UUID 病例数除以 SS 定义捕获的就诊总人数，计算出真阳性病例数。由于 NSSP 中 2016 年至 2017 年的数据有限，因此计算了 2018 年至 2022 年 UUID 就诊的人口统计数据和趋势。经过病例审查，2,019 例（73.2%）有任何意图的 ICD-10-CM 溺水代码；其中 2,015 例（99.8%）被归类为 UUID。在其余 740 例无 ICD-10-CM 代码的 SS 定义病例中，有 690 例（93.2%）的 CC/DD 诊断为溺水/浸水/水下与水生暴露相关。根据 SS 溺水定义，共有 2705 例（98.0%）UUID 呈阳性。儿童（岁综合监测是在大都市地区进行实时溺水监测的一种新颖而准确的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Injury Epidemiology Medicine-Medicine (all)

CiteScore

3.20

自引率

4.50%

发文量

审稿时长

13 weeks

期刊介绍： Injury Epidemiology is dedicated to advancing the scientific foundation for injury prevention and control through timely publication and dissemination of peer-reviewed research. Injury Epidemiology aims to be the premier venue for communicating epidemiologic studies of unintentional and intentional injuries, including, but not limited to, morbidity and mortality from motor vehicle crashes, drug overdose/poisoning, falls, drowning, fires/burns, iatrogenic injury, suicide, homicide, assaults, and abuse. We welcome investigations designed to understand the magnitude, distribution, determinants, causes, prevention, diagnosis, treatment, prognosis, and outcomes of injuries in specific population groups, geographic regions, and environmental settings (e.g., home, workplace, transport, recreation, sports, and urban/rural). Injury Epidemiology has a special focus on studies generating objective and practical knowledge that can be translated into interventions to reduce injury morbidity and mortality on a population level. Priority consideration will be given to manuscripts that feature contemporary theories and concepts, innovative methods, and novel techniques as applied to injury surveillance, risk assessment, development and implementation of effective interventions, and program and policy evaluation.