Evidence map›Paper›PMID 32513621›Full record

ArticleThe International journal on drug policy2020

Rural risk environments, opioid-related overdose, and infectious diseases: A multidimensional, spatial perspective.

Marynia A Kolak, Yen-Tyng Chen, Sam Joyce, Kaitlin Ellis, Kali Defever, Colleen McLuckie, Sam Friedman, Mai T Pho

Open access · greenAbstract read
In one paragraph

Article in The International journal on drug policy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 4% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

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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 3 institutions in 1 country.

Marynia A KolakCenter for Spatial Data Science, University of Chicago, 1155 East 60th St, Rm 204, Chicago, IL 60637, United States. Electronic address: mkolak@uchicago.edu.
Yen-Tyng ChenDepartment of Medicine, Section of Infectious Diseases & Global Health, University of Chicago Medicine, 5841 South Maryland Ave., MC 5065, Chicago, IL, 60637, United States.
Sam JoyceCenter for Spatial Data Science, University of Chicago, 1155 East 60th St, Rm 204, Chicago, IL 60637, United States.
Kaitlin EllisUniversity of Chicago Pritzker School of Medicine, 924 E 57th St Suite 104, Chicago, IL 60637, United States.
Kali DefeverDepartment of Medicine, Section of Infectious Diseases & Global Health, University of Chicago Medicine, 5841 South Maryland Ave., MC 5065, Chicago, IL, 60637, United States.
Colleen McLuckieUniversity of Illinois at Chicago, School of Public Health, 1603 W. Taylor Street, (MC 923), Chicago, IL 60612, United States.
Sam FriedmanNational Development and Research Institutes, Inc., 71 W 23rd St, New York, NY 10010, United States.
Mai T PhoDepartment of Medicine, Section of Infectious Diseases & Global Health, University of Chicago Medicine, 5841 South Maryland Ave., MC 5065, Chicago, IL, 60637, United States.
University of Chicago · USNational Development and Research Institutes · USUniversity of Illinois Chicago · US

Funding

Ending transmission of HIV, HCV, and STDs and overdose in rural communities of people who inject drugs (ETHIC)UH3DA044829 · NIDA · UNIVERSITY OF CHICAGO · PI JENKINS, WILEY, PHO, MAI TUYET · 2019 to 2022
$5.2M
Ending transmission of HIV, HCV, and STDs and overdose in rural communities of people who inject drugs (ETHIC)UG3DA044829 · NIDA · UNIVERSITY OF CHICAGO · PI JENKINS, WILEY, PHO, MAI TUYET · 2017 to 2018
$1.1M
Optimizing Patient-Oriented Outcomes for Chronic Hepatitis CR00HS022433 · AHRQ · UNIVERSITY OF CHICAGO · PI PHO, MAI TUYET · 2015 to 2017
$739k
AHRQ HHS R00 HS022433NIDA NIH HHS UG3 DA044829NIDA NIH HHS UH3 DA044829
6 · The paper itself

Abstract

backgroundMuch remains unknown in rural risk environments, despite a growing crisis in these areas. We adapt a risk environment framework to characterize rural southern Illinois and describe the relations of risk environments, opioid-related overdose, HIV, Hepatitis C, and sexually transmitted infection rates between 2015 and 2017.

methodsOver two dozen risk environment variables are summarized across zip-code (n = 128) or county levels (n = 16) based on availability and theoretical relevance. We calculate data attribute associations and characterize spatial and temporal dimensions of longitudinal health outcomes and the rural risk environment. We then use a "regional typology analysis" to generate data-driven risk regions and compare health outcomes.

resultsPervasive risk hotspots were identified in more populated locales with higher rates of overdose and HCV incidence, whereas emerging risk areas were isolated to more rural locales that had experienced an increase in analgesic opiate overdoses and generally lacked harm-reduction resources. At-risk areas were characterized with underlying socioeconomic vulnerability but in differing ways, reflecting a nuanced and shifting structural risk landscape.

conclusionsRural risk environment vulnerabilities and associated opioid-related health outcomes are multifaceted and spatially heterogeneous. More research is needed to better understand how refining geographies to more precisely define risk can support intervention efforts and further enrich investigations of the opioid epidemic.

Indexed as

Drug OverdoseHepatitis COpioid-Related DisordersAnalgesics, OpioidHarm ReductionHumansRural PopulationAnalgesics, OpioidOpioid overdoseRegionalizationRural risk environmentSpatial analysis

Identifiers

PMID32513621
PMCPMC10727138
OpenAlexW3033301668

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.