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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-04-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340921000639 |
| _version_ | 1818596146734432256 |
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| author | Kevin N. Griffith Yevgeniy Feyman Samantha G. Auty Erika L. Crable Timothy W. Levengood |
| author_facet | Kevin N. Griffith Yevgeniy Feyman Samantha G. Auty Erika L. Crable Timothy W. Levengood |
| author_sort | Kevin N. Griffith |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-16T11:27:17Z |
| format | Article |
| id | doaj.art-d0f4f4c5b1904010b4fb091e98b0d59a |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-12-16T11:27:17Z |
| publishDate | 2021-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-d0f4f4c5b1904010b4fb091e98b0d59a2022-12-21T22:33:20ZengElsevierData in Brief2352-34092021-04-0135106779County-level data on U.S. opioid distributions, demographics, healthcare supply, and healthcare accessKevin N. Griffith0Yevgeniy Feyman1Samantha G. Auty2Erika L. Crable3Timothy W. Levengood4Department 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; Corresponding author.Partnered Evidence-Based Policy Resource Center, VA Boston Healthcare System, Bldg. 9, 150 S. Huntington Ave., Boston, MA 02130, United States; Department of Health Law, Policy & Management, Boston University School of Public Health, 715 Albany Street, Boston, MA 02118, United StatesDepartment of Health Law, Policy & Management, Boston University School of Public Health, 715 Albany Street, Boston, MA 02118, United StatesDepartment of Health Law, Policy & Management, Boston University School of Public Health, 715 Albany Street, Boston, MA 02118, United StatesDepartment of Health Law, Policy & Management, Boston University School of Public Health, 715 Albany Street, Boston, MA 02118, United StatesThe 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.http://www.sciencedirect.com/science/article/pii/S2352340921000639OpioidsOpioid analgesicsPrescription drugsDrug overdosePain managementHealth disparities |
| spellingShingle | Kevin N. Griffith Yevgeniy Feyman Samantha G. Auty Erika L. Crable Timothy W. Levengood County-level data on U.S. opioid distributions, demographics, healthcare supply, and healthcare access Data in Brief Opioids Opioid analgesics Prescription drugs Drug overdose Pain management Health disparities |
| 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 | Opioids Opioid analgesics Prescription drugs Drug overdose Pain management Health disparities |
| url | http://www.sciencedirect.com/science/article/pii/S2352340921000639 |
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