俄亥俄州药物辅助治疗授权提供者的供应

Ariana Pitcher, W. Xu
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摘要

背景:俄亥俄州是全国药物过量率最高的州之一。2000年的《药物成瘾治疗法》(DATA)允许合格的临床医生使用药物辅助治疗(MAT)来治疗阿片类药物依赖。这项研究描述了被授权进行MAT的临床医生的特征,并检查了这些临床医生是否在阿片类药物负担较高的地区进行地理配置。方法:2019年数据提供者的数据来自药物滥用和心理健康管理局。阿片类药物过量死亡率是从县卫生排名和路线图中提取的,以代表当地的疾病负担。数据提供者密度由每个县每100000人口中放弃数据提供者的数量表示。我们使用Pearson相关检验来检验本地数据提供者密度与阿片类药物死亡率之间的相关性。结果:大多数数据提供者是医生(57%),其次是执业护士(27%)和医生助理(4%)。放弃提供者的平均密度为每10万人口13.90人。数据提供者的本地密度与本地阿片类药物过量死亡率呈中度相关(P<0.001)。结论:在俄亥俄州,医生仍然是大多数放弃数据提供者的代表。虽然数据提供者位于一些对阿片类药物治疗需求较高的地区,但我们的数据表明,其他阿片类物质负担较高的地区可能劳动力供应不足,无法减轻阿片类化合物负担。如果没有足够的DATA工作人员,专注于MAT护理以应对阿片类药物流行的政策可能是徒劳的。
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The Supply of Authorized Providers for Medication-Assisted Treatment in Ohio
Background: Ohio experiences among the highest drug overdose rates nationally. The Drug Addiction Treatment Act (DATA) of 2000 permits qualified clinicians to use medication-assisted treatment (MAT) to treat opioid dependency. This study characterizes clinicians authorized to perform MAT and examines whether these clinicians are geographically collocated in areas with higher opioid burdens. Methods: Data of DATA providers in 2019 came from the Substance Abuse and Mental Health Administration. Opioid overdose mortality rates were extracted from the County Health Rankings and Roadmaps to represent disease burdens in local areas. The DATA provider density is represented by the number of DATA-waivered providers per 100 000 population for each county. We used Pearson correlational tests to examine the correlations between the local DATA provider density and the opioid mortality rate.Results: Most of the DATA providers were physicians (57%), followed by nurse practitioners (27%) and physician assistants (4%). The average waivered provider density was 13.90 per 100 000 population. The local density of DATA providers and local opioid overdose death rates are moderately correlated (P < 0.001).Conclusion: Physicians still represent most waivered providers in Ohio. While DATA providers were located in some areas with high needs for opioid treatments, our data suggest that other areas with high opioid burdens likely have an inadequate workforce supply to reduce opioid burdens. Without an adequate DATA workforce, policies that focus on MAT care access to address the opioid epidemic may be in vain.
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