Evidence map›Paper›PMID 33421805›Full record

ArticleDrug and alcohol dependence2021

Implications of county-level variation in U.S. opioid distribution.

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

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Kevin N GriffithDepartment of Health Policy, Vanderbilt University Medical Center, 2525 West End Ave., Suite 1200, Nashville, TN 37203, USA; Partnered Evidence-Based Policy Resource Center, VA Boston Healthcare System, Bldg. 9, 150 S. Huntington Ave., Boston, MA 02130, USA. Electronic address: kevin.griffith@vumc.org.
Yevgeniy FeymanPartnered Evidence-Based Policy Resource Center, VA Boston Healthcare System, Bldg. 9, 150 S. Huntington Ave., Boston, MA 02130, USA; Department of Health Law, Policy & Management, Boston University School of Public Health, 715 Albany Street, Boston, MA 02118, USA.
Samantha G AutyDepartment of Health Law, Policy & Management, Boston University School of Public Health, 715 Albany Street, Boston, MA 02118, USA.
Erika L CrableDepartment of Health Law, Policy & Management, Boston University School of Public Health, 715 Albany Street, Boston, MA 02118, USA.
Timothy W LevengoodDepartment of Health Law, Policy & Management, Boston University School of Public Health, 715 Albany Street, Boston, MA 02118, USA.
Boston University · USVanderbilt University Medical Center · US

Funding

The Lifespan/Brown Criminal Justice Research Program on Substance Use and HIVR25DA037190 · NIDA · MIRIAM HOSPITAL · PI CURT G BECKWITH · 2014 to 2026
$3.5M
Learning Health System Scholar Program at VanderbiltK12HS026395 · AHRQ · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ROTHMAN, RUSSELL L., ROUMIE, CHRISTIANNE L. · 2018 to 2022
$2.7M
Responses to readmissions penalties: What can we learn about hospital behavior?R36HS027306 · AHRQ · BOSTON UNIVERSITY MEDICAL CAMPUS · PI GRIFFITH, KEVIN · 2020 to 2020
$40k
AHRQ HHS K12 HS026395AHRQ HHS R36 HS027306NIDA NIH HHS R25 DA037190
6 · The paper itself

Abstract

backgroundPrescription opioids accounted for the majority of opioid-related deaths in the United States prior to 2010, and continue to contribute to opioid misuse and mortality. We used a novel dataset to investigate the distributional patterns of prescription opioids, whether opioid pill volume was associated with opioid-related mortality, and whether early state Medicaid expansions were associated with either pill volume or opioid-related mortality.

methodsData on opioid shipments to retail pharmacies for 2006-2013 were obtained from the U.S. Drug Enforcement Administration, and opioid-related deaths (ORDs) were obtained from the Centers for Disease Control and Prevention. We first compared characteristics of counties in the highest and lowest quartiles for per capita pill volume (PCPV). We used adjusted difference-in-differences regression models to identify factors associated with PCPV or ORDs, and whether early state Medicaid expansions were associated with either outcome. All models were estimated as linear regressions with standard errors clustered by county, and weighted by county population.

resultsWe found large geographic variations in opioid distribution, and this variation appears to be driven by differences in demographics, healthcare access, and healthcare supply. In adjusted models, a one-pill increase in PCPV was associated with a 0.20 increase in ORDs per 100,000 population (95 % CI 0.11-0.30). Early Medicaid expansions were associated with lower PCPV (-2.20, 95 % CI -2.97 to -1.43).

conclusionsOur findings validate the relationship between PCPV and ORDs, identify important environmental drivers of the opioid epidemic, and suggest early state Medicaid expansions were beneficial in reducing opioid pill volume.

Indexed as

Analgesics, OpioidDrug OverdoseEpidemicsHealth Services AccessibilityHumansMedicaidOpioid-Related DisordersPrescriptionsUnited StatesAnalgesics, OpioidDrug overdoseHealth disparitiesOpioid analgesicsOpioidsPain managementPrescription drugs

Identifiers

PMID33421805
PMCPMC8115932
OpenAlexW3120490137

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.