Department of Health Policy and Administration, Penn State University, University Park, Pennsylvania, USA.
Penn State Cancer Institute, Hershey, Pennsylvania, USA.
Subst Use Misuse. 2024;59(4):558-566. doi: 10.1080/10826084.2023.2287220. Epub 2024 Feb 8.
BACKGROUND: As overdose rates increase for multiple substances, policymakers need to identify geographic patterns of substance-specific deaths. In this study, we describe county-level opioid and psychostimulant overdose patterns and how they correlate with county-level social vulnerability measures. METHODS: A cross-sectional observational study, we used nationwide 2016-2018 restricted access Centers for Disease Prevention and Control county-level mortality files for 1,024 counties. We estimated quartiles of opioid and psychostimulant overdose mortality and provided estimates of their association with county-level Social Vulnerability Index (SVI) percentile. RESULTS: There was high opioid and psychostimulant overdose mortality in the Middle Atlantic, South Atlantic, East North Central, and Mountain regions. The Central US had the lowest opioid and psychostimulant overdose mortality rates. Counties with higher SVI scores (i.e. higher social vulnerability) were significantly more likely to experience high opioid and high psychostimulant overdose (high-high) mortality. A 10-percentile increase in SVI score was associated with a 3.1 percentage point increase in the likelihood of being a high-high county (p < 0.001) in unadjusted models and a 1.5 percentage point increase (p < 0.05) in models adjusting for region. CONCLUSION: Our results illustrated the heterogenous geographic distribution of the growing concurrent opioid and psychostimulant overdose crisis. The substantial regional variation we identified highlights the need for local data to guide policymaking and treatment planning. The association of opioid-psychostimulant overdose mortality with social vulnerability demonstrates the critical need in impacted counties for tailored treatment that addresses the complex medical and social needs of people who use both opioids and psychostimulants.
背景:随着多种物质的过量用药率上升,政策制定者需要确定特定物质死亡的地理模式。在这项研究中,我们描述了县一级阿片类药物和兴奋剂过量的模式,以及它们与县一级社会脆弱性指标的相关性。
方法:我们采用了一项横断面观察性研究,使用了全国范围内 2016-2018 年受限访问的疾病预防控制中心县一级死亡率文件,涉及 1024 个县。我们估计了阿片类药物和兴奋剂过量死亡率的四分位数,并提供了其与县一级社会脆弱性指数(SVI)百分位数的关联估计。
结果:中大西洋、南大西洋、东北和山区的阿片类药物和兴奋剂过量死亡率很高。美国中部地区的阿片类药物和兴奋剂过量死亡率最低。SVI 得分较高(即社会脆弱性较高)的县,更有可能出现高阿片类药物和高兴奋剂过量(高-高)死亡率。SVI 得分每增加 10%,成为高-高县的可能性就会增加 3.1 个百分点(p<0.001),在未调整模型中,调整区域后增加 1.5 个百分点(p<0.05)。
结论:我们的研究结果说明了日益严重的同时发生的阿片类药物和兴奋剂过量危机在地理上的分布不均。我们确定的大量区域差异突出表明,需要有当地数据来指导决策和治疗规划。阿片类药物-兴奋剂过量死亡率与社会脆弱性的关联表明,受影响县迫切需要量身定制的治疗方法,以满足同时使用阿片类药物和兴奋剂的人群的复杂医疗和社会需求。
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