Opioid Use Disorder Among Ohio's Medicaid Population: Prevalence Estimates From 19 Counties Using a Multiplier Method.
Opioid Use Disorder Among Ohio's Medicaid Population: Prevalence Estimates From 19 Counties Using a Multiplier Method.
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俄亥俄州医疗补助人群中的阿片类药物使用障碍：使用乘数法对 19 个县的患病率进行估计。
DOI：
10.1093/aje/kwac154
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发表时间：
2022
影响因子：
5
通讯作者：
Barocas,JoshuaA
中科院分区：
文献类型：
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作者：
Doogan,NathanJ;Mack,Aimee;Wang,Jianing;Crane,Dushka;Jackson,Rebecca;Applegate,Mary;Villani,Jennifer;Chandler,Redonna;Barocas,JoshuaA
美国长达数十年的过量流行是由阿片类药物滥用造成的。阿片类药物使用障碍（OUD）患者通常（尽管不是唯一）会出现过量用药。为了分配足够的资源和制定适当规模的公共卫生应对措施，需要准确估计OUD的患病率。估计有问题的药物使用行为普遍程度的间接方法（例如乘数法）规避了住户调查和使用行政数据的一些限制。我们使用乘数法估计俄亥俄州19个县的成年医疗补助人群（18-64岁）的OUD患病率，这些县受药物过量的影响很大。我们使用了医疗补助索赔数据和美国国家生命统计系统过量死亡数据，它们在个人层面上是相关联的。统计模型利用来自已知OUD组的阿片类药物相关死亡率信息，根据记录的阿片类药物相关死亡，估计未知OUD状态组的患病率。我们估计2019年总研究人群中有13.6%患有OUD。男性（16.7%）患病率高于女性（11.4%），35-54岁人群患病率最高（16.7%）。我们的患病率估计方法对美国的OUD监测和治疗具有重要意义。
The decades-long overdose epidemic in the United States is driven by opioid misuse. Overdoses commonly, although not exclusively, occur in individuals with opioid use disorder (OUD). To allocate adequate resources and develop appropriately scaled public health responses, accurate estimation of the prevalence of OUD is needed. Indirect methods (e.g., a multiplier method) of estimating prevalence of problematic substance-use behavior circumvent some limitations of household surveys and use of administrative data. We used a multiplier method to estimate OUD prevalence among the adult Medicaid population (ages 18–64 years) in 19 Ohio counties that are highly affected by overdose. We used Medicaid claims data and the US National Vital Statistics System overdose death data, which were linked at the person level. A statistical model leveraged opioid-related death rate information from a group with known OUD to estimate prevalence among a group with unknown OUD status given recorded opioid-related deaths in that group. We estimated that 13.6% of the total study population had OUD in 2019. Men (16.7%) had a higher prevalence of OUD than women (11.4%), and persons aged 35–54 had the highest prevalence (16.7%). Our approach to prevalence estimation has important implications for OUD surveillance and treatment in the United States.