Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, United States.
Clinical Addiction Research and Education Unit, Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine and Boston Medical Center, United States.
Drug Alcohol Depend. 2023 May 1;246:109836. doi: 10.1016/j.drugalcdep.2023.109836. Epub 2023 Mar 11.
Fatal opioid-related overdoses (OOD) present significant public health challenges. Intuitive and replicable analytical approaches are needed to inform targeted public health responses.
We obtained fatal OOD data for 2005-2021 from the Massachusetts Registry of Vital Records and Statistics. We conducted heatmap analyses to assess trends in fatal OOD rates per 100,000 residents, visualizing rates by death year and decedent age at one-year intervals, stratifying by race/ethnicity, sex, rurality, and involved substances. We calculated Getis-Ord Gi* statistics to identify spatial clusters of OOD rates.
Among 20,774 fatal OODs, rates were higher among males, and highly variable by race/ethnicity, age group, and rurality. While fatal OOD rates increased in urban before rural communities, rates were higher in rural communities by 2018-2019. Stimulant-related fatal OODs were elevated in 2020 and 2021. Fatal OOD rates involving fentanyl and stimulants increased precipitously and simultaneously in the non-Hispanic Black population in 2020 and 2021, with a bimodal age distribution peaking among those in their 40s and 60s. Elevated rates among 30-to-60 year old Hispanic residents were largely tied to synthetic opioids from 2015 to 2021. Spatial clusters were detected for prescription opioids, heroin, and stimulants in western Massachusetts. For synthetic opioids, hotspots became more ubiquitous across the state from 2016 to 2021, intensifying in southeastern Massachusetts.
Our novel approach uncovered new time varying and spatial patterns in fatal OOD rates not previously reported. Identified shifts in fatal OOD rates by sex, age, and race/ethnicity can inform location-specific field actions targeting subpopulations at disproportionally high risk.
致命的阿片类药物相关过量用药(OOD)对公共健康构成重大挑战。需要直观且可重复的分析方法来为有针对性的公共卫生应对措施提供信息。
我们从马萨诸塞州生命记录和统计注册表中获取了 2005 年至 2021 年的致命 OOD 数据。我们进行了热图分析,以评估每 10 万人中致命 OOD 率的趋势,通过死亡年份和死者年龄每一年的间隔可视化这些数据,并按种族/民族、性别、农村/城市和涉及的物质进行分层。我们计算了 Getis-Ord Gi*统计量来识别 OOD 率的空间聚类。
在 20774 例致命 OOD 中,男性的比率较高,并且在种族/民族、年龄组和农村/城市方面差异很大。虽然城市地区的致命 OOD 率在农村地区之前有所增加,但到 2018-2019 年,农村地区的比率更高。2020 年和 2021 年,与兴奋剂相关的致命 OOD 有所增加。2020 年和 2021 年,非西班牙裔黑人人口中涉及芬太尼和兴奋剂的致命 OOD 率急剧且同时增加,双模态年龄分布峰值出现在 40 多岁和 60 多岁之间。2015 年至 2021 年,30 岁至 60 岁的西班牙裔居民的高比率主要与合成阿片类药物有关。在马萨诸塞州西部,检测到了与处方阿片类药物、海洛因和兴奋剂有关的空间聚类。对于合成阿片类药物,从 2016 年到 2021 年,热点在全州范围内变得更加普遍,并在马萨诸塞州东南部加剧。
我们的新方法揭示了以前未报告的致命 OOD 率的新的时变和空间模式。按性别、年龄和种族/民族确定的致命 OOD 率变化可以为针对高风险亚人群的特定地点行动提供信息。