Evidence map›Paper›PMID 37862877›Full record

ArticleDrug and alcohol dependence2023

The association between community social vulnerability and prescription opioid availability with individual opioid overdose.

Sanae El Ibrahimi, Michelle A Hendricks, Kacey Little, Grant A Ritter, Diana Flores, Bryan Loy, Dagan Wright, Scott G Weiner

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
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

8 authors at 5 institutions in 1 country.

Sanae El IbrahimiDivision of Research and Evaluation, Comagine Health, Portland, OR, United States; School of Public Health, Department of Epidemiology and Biostatistics, University of Nevada, Las Vegas, United States. Electronic address: selibrahimi@comagine.org.
Michelle A HendricksGeneral Medical Sciences division, Washington University School of Medicine, St. Luis, MO, United States.
Kacey LittleDivision of Research and Evaluation, Comagine Health, Portland, OR, United States.
Grant A RitterSchneider Institutes for Health Policy, Heller School for Social Policy and Management, Brandeis University, Waltham, MA, United States.
Diana FloresDivision of Research and Evaluation, Comagine Health, Portland, OR, United States.
Bryan LoyInjury and Violence Prevention Program - Public Health Division - Oregon Health Authority, Portland, OR, United States.
Dagan WrightInjury and Violence Prevention Program - Public Health Division - Oregon Health Authority, Portland, OR, United States.
Scott G WeinerDepartment of Emergency Medicine, Brigham and Women's Hospital, Boston, MA, United States.
Norton Sound Health Corporation · USOregon Health Authority · USBrandeis University · USBrigham and Women's Hospital · USUniversity of Nevada, Las Vegas · US

Funding

Using a Novel Comprehensive Linked Dataset to Determine Early Predictors of Opioid OverdoseR01DA044167 · NIDA · BRIGHAM AND WOMEN'S HOSPITAL · PI WEINER, SCOTT GORDON · 2018 to 2022
$2.6M
NIDA NIH HHS R01 DA044167NIDA NIH HHS R01DA044167
6 · The paper itself

Abstract

backgroundThis study aims to assess the association of community social vulnerability and community prescription opioid availability with individual non-fatal or fatal opioid overdose.

methodsWe identified patients 12 years of age or older from the Oregon All Payer Claims database (APCD) linked to other public health datasets. Community-level characteristics were captured in an exposure period (EP) (1/1/2018-12/31/2018) and included: census tract-level social vulnerability domains (socio-economic status, household composition, racial and ethnic minority status, and housing type and transportation), census tract-level prescriptions and community-level opioid use disorder (OUD) diagnoses per 100 capita binned into quartiles or quintiles. We employed Cox models to estimate the risk of fatal and non-fatal opioid overdoses events in the 12 months following the EP. MAIN

findingsWe identified 1,548,252 individuals. Patients were mostly female (54%), White (61%), commercially insured (54%), and lived in metropolitan areas (81%). Of the total sample, 2485 (0.2%) experienced a non-fatal opioid overdose and 297 died of opioid overdose. There was higher hazard for non-fatal overdose in communities with greater OUD per 100 capita. We also found higher non-fatal and fatal hazards for opioid overdose among patients in communities with higher housing type and transportation-related vulnerability compared to the lowest quintile. Conversely, patients were at less risk of opioid overdose when living in communities with greater prevalence of the young or the elderly, the disabled, single parent families or low English proficiency.

conclusionThese findings underscore the importance of the environmental context when considering public health policies to reduce opioid harms.

Indexed as

Drug OverdoseOpiate OverdoseOpioid-Related DisordersAgedAnalgesics, OpioidEthnicityFemaleHumansMaleMinority GroupsPrescriptionsSocial VulnerabilityAnalgesics, OpioidCommunityOpioidsOpioid use disorderOverdoseSocial vulnerability index

Identifiers

PMID37862877
PMCPMC10754350
OpenAlexW4387541635

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.