利用地理空间模式了解火器伤害的社会和环境风险。

Soroosh Noorbakhsh, Will Dunne, Oluwadamilola Babatola, Amber Himmler, Lucy Hart, Nkosi Cave, Kenya Jackson, Jamaji Nwanaji-Enwerem, Alejandro De Leon Castro, Preethi Krishnan, Rishikesan Kamaleswaran, Christine Castater, Randi N Smith
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引用次数: 0

摘要

背景:对于枪支相关伤害(FRI),了解空间伤害模式可以为干预策略提供信息。本研究评估了地理FRI模式,强调(1)家庭住址与受伤地点的接近程度和(2)健康的位置社会决定因素(SDOH)。方法:我们对2016年1月1日至2022年10月1日在某一级创伤中心收治的FRI患者进行回顾性分析。收集患者家中和损伤ZCTA (ZCTA制表区域)。SDOH指标按邮政编码计算,使用贫困社区指数(DCI,范围从0-100[最贫困])和社会剥夺指数(SDI,范围从1-100[最贫困])。计算SDOH指数变化和zcta之间的距离。结果:37,537例外伤激活中,6326例由FRI引起,3864例(63.12%)患者使用zcta。该队列中男性占86.5%,黑人占85.2%。中位(IQR)年龄为30(23-39)岁。37.8%的患者住家和受伤地点相同,57.1%的患者在5英里内,87.2%的患者在20英里内。受伤的DCI和SDI明显高于家庭住址(平均DCI:家庭59.5,受伤65.7;平均SDI:居家71.8,受伤79.6;P < 0.001)。20个zcta(182个中)占68.4%的伤害位置。线性回归分析显示,zcta内的SDI和DCI与FRI数显著相关。结论:FRI多发生在家附近,当zcta不同时,损伤部位SDOH往往更严重。痛苦/贫困程度高于平均水平的“热点地区”提供了最大限度地减少暴力影响的机会;应以这些地区为目标,努力减轻造成暴力的因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding social and environmental risks of firearm injury using geospatial patterns.

Background: For firearm-related injuries (FRI), understanding spatial injury patterns may inform intervention strategies. This study evaluates geographic FRI patterns, emphasizing (1) proximity of home address to injury location and (2) locational social determinants of health (SDOH).

Methods: We performed a retrospective analysis of FRI patients at a Level 1 trauma center between 01/2016-10/2022. Patient home and injury ZCTAs (ZCTA tabulation areas) were collected. SDOH indicators were calculated by ZIP codes using the Distressed Communities Index (DCI, ranges from 0-100 [most distressed]) and Social Deprivation Index (SDI, ranges from 1-100 [highest deprivation]). SDOH index variations and distances between ZCTAs were calculated.

Results: Of 37,537 trauma activations, 6326 were due to FRI. ZCTAs were available in 3864 (63.12 %) patients. The cohort was 86.5 % male and 85.2 % Black. Median (IQR) age was 30 (23-39) years. Home and injury locations were the same in 37.8 % of patients, within 5 miles of each other in 57.1 %, and within 20 miles in 87.2 %. DCI and SDI were significantly higher in injury vs home addresses (average DCI: home 59.5, injury 65.7; average SDI: home 71.8, injury 79.6; p < 0.001). Twenty ZCTAs (among 182) made up 68.4 % of injury locations. On linear regression, SDI and DCI were significantly associated with FRI number within ZCTAs.

Conclusions: FRI often happens close to home, and when ZCTAs differ, injury location SDOH tend to be worse. "Hotspots" with higher-than-average distress/deprivation present opportunity to maximize the impact of violence reduction; efforts should target these regions to mitigate factors perpetuating violence.

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