Evidence map›Paper›PMID 30592998›Full record

ArticleDrug and alcohol dependence2019

Urban-rural variation in the socioeconomic determinants of opioid overdose.

Veronica A Pear, William R Ponicki, Andrew Gaidus, Katherine M Keyes, Silvia S Martins, David S Fink, Ariadne Rivera-Aguirre, Paul J Gruenewald, Magdalena Cerdá

Abstract readComparative Study
In one paragraph

Article in Drug and alcohol dependence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

97 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Geospatial Determinants and Spatial Heterogeneity of Opioid Overdose Mortality in Arizona.Journal of urban health : bulletin of the New York Academy of Medicine · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

37 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Veronica A PearViolence Prevention Research Program, Department of Emergency Medicine, University of California Davis School of Medicine, 2315 Stockton Blvd., Sacramento, CA 95817, USA. Electronic address: vapear@ucdavis.edu.
William R PonickiPrevention Research Center, Pacific Institute for Research and Evaluation, 2150 Shattuck Ave., Suite 601, Berkeley, CA 94704, USA.
Andrew GaidusPrevention Research Center, Pacific Institute for Research and Evaluation, 2150 Shattuck Ave., Suite 601, Berkeley, CA 94704, USA.
Katherine M KeyesDepartment of Epidemiology, Mailman School of Public Health, Columbia University, 722 W. 168th St., New York, NY 10032, USA.
Silvia S MartinsDepartment of Epidemiology, Mailman School of Public Health, Columbia University, 722 W. 168th St., New York, NY 10032, USA.
David S FinkDepartment of Epidemiology, Mailman School of Public Health, Columbia University, 722 W. 168th St., New York, NY 10032, USA.
Ariadne Rivera-AguirreViolence Prevention Research Program, Department of Emergency Medicine, University of California Davis School of Medicine, 2315 Stockton Blvd., Sacramento, CA 95817, USA; Division of Epidemiology, Department of Population Health, New York University School of Medicine, 650 First Ave., New York, NY 10016, USA.
Paul J GruenewaldPrevention Research Center, Pacific Institute for Research and Evaluation, 2150 Shattuck Ave., Suite 601, Berkeley, CA 94704, USA.
Magdalena CerdáViolence Prevention Research Program, Department of Emergency Medicine, University of California Davis School of Medicine, 2315 Stockton Blvd., Sacramento, CA 95817, USA; Division of Epidemiology, Department of Population Health, New York University School of Medicine, 650 First Ave., New York, NY 10016, USA.

Funding

Substance Abuse Epidemiology Training Program (SAETP) at Columbia UniversityT32DA031099 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DEBORAH S HASIN, Silvia Saboia Martins · 2012 to 2026
$6.1M
Prescription Drug Monitoring Programs and Opioid-Related HarmR01DA039962 · NIDA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CERDA, MAGDALENA · 2016 to 2018
$1.3M
NIDA NIH HHS R01 DA039962NIDA NIH HHS T32 DA031099
6 · The paper itself

Abstract

backgroundPrescription opioid overdose (POD) and heroin overdose (HOD) rates have quadrupled since 1999. Community-level socioeconomic characteristics are associated with opioid overdoses, but whether this varies by urbanicity is unknown.

methodsIn this serial cross-sectional study of zip codes in 17 states, 2002-2014 (n = 145,241 space-time units), we used hierarchical Bayesian Poisson space-time models to analyze the association between zip code-level socioeconomic features (poverty, unemployment, educational attainment, and income) and counts of POD or HOD hospital discharges. We tested multiplicative interactions between each socioeconomic feature and zip code urbanicity measured with Rural-Urban Commuting Area codes.

resultsPercent in poverty and of adults with ≤ high school education were associated with higher POD rates (Rate Ratio [RR], 5% poverty: 1.07 [95% credible interval: 1.06-1.07]; 5% low education: 1.02 [1.02-1.03]), while median household income was associated with lower rates (RR, $10,000: 0.88 [0.87-0.89]). Urbanicity modified the association between socioeconomic features and HOD. Poverty and unemployment were associated with increased HOD in metropolitan areas (RR, 5% poverty: 1.12 [1.11-1.13]; 5% unemployment: 1.04 [1.02-1.05]), and median household income was associated with decreased HOD (RR, $10,000: 0.88 [0.87-0.90]). In rural areas, low educational attainment alone was associated with HOD (RR, 5%: 1.09 [1.02-1.16]).

conclusionsRegardless of urbanicity, elevated rates of POD were found in more economically disadvantaged zip codes. Economic disadvantage played a larger role in HOD in urban than rural areas, suggesting rural HOD rates may have alternative drivers. Identifying social determinants of opioid overdoses is particularly important for creating effective population-level interventions.

Indexed as

Socioeconomic FactorsAcademic SuccessAdultAgedAnalgesics, OpioidCross-Sectional StudiesDrug OverdoseFemaleHumansIncomeMaleMiddle AgedPovertyRural PopulationSocial ProblemsUnemploymentAnalgesics, OpioidHeroinOpioid-related disordersPrescription drug misuseRural healthSocioeconomic factorsUrban health

Identifiers

PMID30592998
PMCPMC6375680

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.