Harnessing national data systems to understand circumstances surrounding veteran suicide: linking Department of Veterans Affairs and National Violent Death Reporting System Data.

IF 2.4 3区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Injury Epidemiology Pub Date : 2025-01-21 DOI:10.1186/s40621-024-00559-5
Claire A Hoffmire, Alexandra L Schneider, Laurel A Gaeddert, Joseph Logan, Julie A Kittel, Ryan Holliday, Lindsey L Monteith
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Abstract

Background: Veterans are at elevated risk for suicide compared to non-Veteran U.S. adults. Data sources and analyses to inform prevention efforts, especially for those who do not use Department of Veterans Affairs (VA) healthcare services, are needed. This study aimed to link VA and CDC's National Violent Death Reporting System (NVDRS) data to create a novel data source to characterize the circumstances precipitating and preceding suicide among Veterans, including among those who did not use VA healthcare.

Methods: Multi-variable, multi-stage, deterministic linkage of VA-Department of Defense (DoD) Mortality Data Repository (MDR) and NVDRS-Restricted Access Database suicide and undetermined intent mortality records within 189 state-year strata (42 states, 2012-2018). Three linkage stages: (1) exact (matched on: age, sex, death date, underlying cause of death, day of month of birth, first initial of last name); (2) probable (all but one variable matched); (3) possible (all but 2 variables matched). Linkage success and accuracy of NVDRS-documented military history were assessed.

Results: Across all state-years, 22,019 matches (89.20% of 24,685 MDR Veteran records) were identified (65.47% exact). When high missingness (2 + matching variables in > 10% of records; n = 23) or incomplete reporting (n = 12) state-years were excluded, match rate increased to 94.29% (77.15% exact). NVDRS-documented military history (ever served) was accurate for 87.79% of matched records, with an overall sensitivity of 84.62%. Sensitivity was lower for female (61.01%) and younger (17-39 years; 77.51%) Veterans.

Conclusions: Accurate linkage of VA-DoD and NVDRS data is feasible and offers potential to improve understanding of circumstances surrounding suicide among Veterans.

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利用国家数据系统了解退伍军人自杀的情况:连接退伍军人事务部和国家暴力死亡报告系统数据。
背景:与非退伍军人的美国成年人相比,退伍军人自杀的风险更高。需要数据源和分析来为预防工作提供信息,特别是对于那些不使用退伍军人事务部(VA)医疗保健服务的人。本研究旨在将VA和CDC的国家暴力死亡报告系统(NVDRS)数据联系起来,创建一个新的数据源,以表征退伍军人(包括未使用VA医疗保健的退伍军人)自杀的诱因和诱因。方法:对va -国防部死亡率数据库(MDR)和nvdrs -限制访问数据库(restricted Access Database) 189个州-年(2012-2018年,42个州)的自杀和未确定意图死亡记录进行多变量、多阶段、确定性链接。三个联动阶段:(1)精确(匹配:年龄、性别、死亡日期、潜在死因、出生日期、姓氏首字母);(2)可能的(除一个变量外所有变量都匹配);(3)可能(除2个变量外,所有变量都匹配)。评估了nvdrs记录的军事史的链接成功和准确性。结果:在所有州年,确定了22,019个匹配(24,685个MDR退伍军人记录中的89.20%)(准确率为65.47%)。当高缺失(2 +匹配变量在>中占10%的记录;N = 23)或报告不全(N = 12)的病例排除后,匹配率提高至94.29%(准确率77.15%)。nvdrs记录的军事历史(曾经服役)对匹配记录的准确率为87.79%,总体灵敏度为84.62%。女性(61.01%)和年轻人(17-39岁)的敏感性较低;77.51%)退伍军人。结论:VA-DoD和NVDRS数据的准确联系是可行的,并有可能提高对退伍军人自杀情况的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Injury Epidemiology
Injury Epidemiology Medicine-Medicine (all)
CiteScore
3.20
自引率
4.50%
发文量
34
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.
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