Kline David M, White Brian N, Lancaster Kathryn E, Egan Kathleen L, Murphy Eva, Miller William C, Hepler Staci A
From the Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC.
Department of Implementation Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC.
Epidemiology. 2025 May 1;36(3):310-318. doi: 10.1097/EDE.0000000000001838. Epub 2025 Jan 24.
The overdose epidemic remains largely driven by opioids, but the county-level prevalence of opioid misuse is unknown. Without this information, public health and policy responses are limited by a lack of knowledge on the scope of the problem.
Using an integrated abundance model, we estimate the annual county-level prevalence of opioid misuse for counties in North Carolina from 2016 to 2021. The model integrates county-level observed counts of illicit opioid overdose deaths, people receiving prescriptions for buprenorphine, and people served by treatment programs. It also incorporates state-level survey estimates of misuse prevalence. County-level social and environmental covariates are also accounted for in the model. Data are integrated through a Bayesian hierarchical model to estimate posterior distributions of the parameters.
In general, the estimated prevalence of misuse was decreasing over the study period. Estimated prevalence was above average in the western and southeastern parts of the state. We also estimated that the proportion of people who misuse opioids who fatally overdosed increased sharply over the study period as the median estimated proportion in 2021 was more than 8 times greater than in 2016. The proportion of people who misuse opioids who received buprenorphine and were served by treatment programs increased over the study period.
Estimates from our integrated abundance model fill an important gap in public health knowledge about the local prevalence of people who misuse opioids and can be used to inform an adequate and equitable allocation of resources to communities across the state.
过量用药流行在很大程度上仍由阿片类药物驱动,但县级阿片类药物滥用的患病率尚不清楚。没有这些信息,公共卫生和政策应对措施因对问题范围缺乏了解而受到限制。
我们使用综合丰度模型估计了2016年至2021年北卡罗来纳州县一级阿片类药物滥用的年度患病率。该模型整合了县级非法阿片类药物过量死亡的观察计数、接受丁丙诺啡处方的人数以及接受治疗项目服务的人数。它还纳入了州一级对滥用患病率的调查估计。县级社会和环境协变量也在模型中得到考虑。数据通过贝叶斯层次模型进行整合,以估计参数的后验分布。
总体而言,在研究期间,估计的滥用患病率呈下降趋势。该州西部和东南部的估计患病率高于平均水平。我们还估计,在研究期间,阿片类药物滥用者中致命过量用药的比例急剧上升,因为2021年的估计中位数比例比2016年高出8倍多。在研究期间,接受丁丙诺啡治疗并接受治疗项目服务的阿片类药物滥用者比例有所增加。
我们的综合丰度模型估计填补了公共卫生知识中关于阿片类药物滥用者当地患病率的重要空白,可用于为该州各社区合理、公平地分配资源提供依据。