Rohit P Shenoi, Briana Moreland, Jennifer L Jones, Nicholas Peoples, Elizabeth A Camp, Ned Levine
{"title":"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。","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":"<p><strong>Introduction: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>Syndromic surveillance is a novel and accurate method to conduct real-time drowning surveillance in a large metropolitan region.</p>","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":"{\"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\":\"<p><strong>Introduction: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>Syndromic surveillance is a novel and accurate method to conduct real-time drowning surveillance in a large metropolitan region.</p>\",\"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}","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}
Using syndromic surveillance for unintentional and undetermined intent drowning surveillance in a large metropolitan area.
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.
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.