Sahebi-Fakhrabad Amirreza, Sadeghi Amir Hossein, Kemahlioglu-Ziya Eda, Handfield Robert
Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC 27606, USA.
Department of Business Management, Poole College of Management, North Carolina State University, Raleigh, NC 27695, USA.
Healthcare (Basel). 2024 Jun 26;12(13):1268. doi: 10.3390/healthcare12131268.
With opioid overdose rates on the rise, we aimed to develop a county-level risk stratification that specifically focused on access to medications for opioid use disorder (MOUDs) and high overdose rates. We examined over 15 million records from the South Carolina Prescription Tracking System (SCRIPTS) across 46 counties. Additionally, we incorporated data from opioid treatment programs, healthcare professionals prescribing naltrexone, clinicians with buprenorphine waivers, and county-level overdose fatality statistics. To assess the risk of opioid misuse, we classified counties into high-risk and low-risk categories based on their prescription rates, overdose fatalities, and treatment service availability. Statistical methods employed included the two-sample -test and linear regression. The -test assessed the differences in per capita prescription rates between high-risk and low-risk counties. Linear regression was used to analyze the trends over time. Our study showed that between 2017 and 2021, opioid prescriptions decreased from 64,223 to 41,214 per 100,000 residents, while fentanyl-related overdose deaths increased by 312%. High-risk counties had significantly higher rates of fentanyl prescriptions and relied more on out-of-state doctors. They also exhibited higher instances of doctor shopping and had fewer medical doctors per capita, with limited access to MOUDs. To effectively combat the opioid crisis, we advocate for improved local healthcare infrastructure, broader treatment access, stricter management of out-of-state prescriptions, and vigilant tracking of prescription patterns. Tailored local strategies are essential for mitigating the opioid epidemic in these communities.
随着阿片类药物过量使用率的上升,我们旨在制定一种县级风险分层方法,特别关注阿片类药物使用障碍(MOUDs)药物的可及性和高过量使用率。我们研究了南卡罗来纳州处方追踪系统(SCRIPTS)中46个县的超过1500万条记录。此外,我们纳入了来自阿片类药物治疗项目、开具纳曲酮的医疗保健专业人员、持有丁丙诺啡豁免权的临床医生以及县级过量用药死亡统计数据。为了评估阿片类药物滥用的风险,我们根据各县的处方率、过量用药死亡人数和治疗服务可及性将其分为高风险和低风险类别。采用的统计方法包括两样本t检验和线性回归。t检验评估了高风险和低风险县之间人均处方率的差异。线性回归用于分析随时间的趋势。我们的研究表明,在2017年至2021年期间,每10万居民的阿片类药物处方从64223张降至41214张,而与芬太尼相关的过量用药死亡人数增加了312%。高风险县的芬太尼处方率显著更高,更多依赖州外医生。它们还表现出更高的“医生购物”现象,人均医生数量更少,获得MOUDs的机会有限。为了有效应对阿片类药物危机,我们主张改善当地医疗基础设施、扩大治疗可及性、更严格管理州外处方以及密切跟踪处方模式。量身定制的当地策略对于减轻这些社区的阿片类药物流行至关重要。