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美国阿片类药物分布、人口统计学、医疗保健供应及医疗保健可及性的县级数据。

County-level data on U.S. opioid distributions, demographics, healthcare supply, and healthcare access.

作者信息

Griffith Kevin N, Feyman Yevgeniy, Auty Samantha G, Crable Erika L, Levengood Timothy W

机构信息

Department of Health Policy, Vanderbilt University Medical Center, 2525 West End Ave., Suite 1200, Nashville, TN 37203, United States.

Partnered Evidence-Based Policy Resource Center, VA Boston Healthcare System, Bldg. 9, 150 S. Huntington Ave., Boston, MA 02130, United States.

出版信息

Data Brief. 2021 Jan 30;35:106779. doi: 10.1016/j.dib.2021.106779. eCollection 2021 Apr.

Abstract

The dataset summarized in this article is a combination of several of U.S. federal data resources for the years 2006-2013, containing county-level variables for opioid pill volumes, demographics (e.g. age, race, ethnicity, income), insurance coverage, healthcare demand (e.g. inpatient and outpatient service utilization), healthcare infrastructure (e.g. number of hospital beds or hospices), and the supply of various types of healthcare providers (e.g. medical doctors, specialists, dentists, or nurse practitioners). We also include indicators for states which permitted opioid prescribing by nurse practitioners. This dataset was originally created to assist researchers in identifying which factors predict per capita opioid pill volume (PCPV) in a county, whether early state Medicaid expansions increased PCPV, and PCPV's association with opioid-related mortality. Missing data were imputed using regression analysis and hot deck imputation. Non-imputed values are also reported. Taken together, our data provide a new level of precision that may be leveraged by scholars, policymakers, or data journalists who are interested in studying the opioid epidemic. Researchers may use this dataset to identify patterns in opioid distribution over time and characteristics of counties or states which were disproportionately impacted by the epidemic. These data may also be joined with other sources to facilitate studies on the relationships between opioid pill volume and a wide variety of health, economic, and social outcomes.

摘要

本文汇总的数据集是2006年至2013年期间美国几种联邦数据资源的组合,包含县级阿片类药物丸剂用量、人口统计学特征(如年龄、种族、民族、收入)、保险覆盖范围、医疗保健需求(如住院和门诊服务利用率)、医疗基础设施(如医院病床或临终关怀机构数量)以及各类医疗保健提供者(如医生、专科医生、牙医或执业护士)供应情况的变量。我们还纳入了允许执业护士开具阿片类药物处方的州的指标。这个数据集最初是为了帮助研究人员确定哪些因素可预测一个县的人均阿片类药物丸剂用量(PCPV)、早期的州医疗补助扩大是否增加了PCPV,以及PCPV与阿片类药物相关死亡率之间的关联而创建的。缺失数据通过回归分析和热卡插补法进行估算。同时也报告了未估算的值。总体而言,我们的数据提供了新的精确程度,可能会被对研究阿片类药物流行情况感兴趣的学者、政策制定者或数据记者所利用。研究人员可以使用这个数据集来识别阿片类药物随时间的分布模式以及受该流行病影响尤为严重的县或州的特征。这些数据也可以与其他来源相结合,以促进对阿片类药物丸剂用量与各种健康、经济和社会结果之间关系的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de68/7881250/842cb7f61d94/gr1.jpg

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