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

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...

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Autores principales: Griffith, Kevin N., Feyman, Yevgeniy, Auty, Samantha G., Crable, Erika L., Levengood, Timothy W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7881250/
https://www.ncbi.nlm.nih.gov/pubmed/33614868
http://dx.doi.org/10.1016/j.dib.2021.106779
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author Griffith, Kevin N.
Feyman, Yevgeniy
Auty, Samantha G.
Crable, Erika L.
Levengood, Timothy W.
author_facet Griffith, Kevin N.
Feyman, Yevgeniy
Auty, Samantha G.
Crable, Erika L.
Levengood, Timothy W.
author_sort Griffith, Kevin N.
collection PubMed
description 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.
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spelling pubmed-78812502021-02-18 County-level data on U.S. opioid distributions, demographics, healthcare supply, and healthcare access Griffith, Kevin N. Feyman, Yevgeniy Auty, Samantha G. Crable, Erika L. Levengood, Timothy W. Data Brief Data Article 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. Elsevier 2021-01-30 /pmc/articles/PMC7881250/ /pubmed/33614868 http://dx.doi.org/10.1016/j.dib.2021.106779 Text en © 2021 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Griffith, Kevin N.
Feyman, Yevgeniy
Auty, Samantha G.
Crable, Erika L.
Levengood, Timothy W.
County-level data on U.S. opioid distributions, demographics, healthcare supply, and healthcare access
title County-level data on U.S. opioid distributions, demographics, healthcare supply, and healthcare access
title_full County-level data on U.S. opioid distributions, demographics, healthcare supply, and healthcare access
title_fullStr County-level data on U.S. opioid distributions, demographics, healthcare supply, and healthcare access
title_full_unstemmed County-level data on U.S. opioid distributions, demographics, healthcare supply, and healthcare access
title_short County-level data on U.S. opioid distributions, demographics, healthcare supply, and healthcare access
title_sort county-level data on u.s. opioid distributions, demographics, healthcare supply, and healthcare access
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7881250/
https://www.ncbi.nlm.nih.gov/pubmed/33614868
http://dx.doi.org/10.1016/j.dib.2021.106779
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