Evidence map›Paper›PMID 39058746›Full record

ArticlePLoS computational biology2024

Spatial inequities in access to medications for treatment of opioid use disorder highlight scarcity of methadone providers under counterfactual scenarios.

Eric Tatara, Qinyun Lin, Jonathan Ozik, Marynia Kolak, Nicholson Collier, Dylan Halpern, Luc Anselin, Harel Dahari, Basmattee Boodram, John Schneider

Abstract read
In one paragraph

Article in PLoS computational biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Eric TataraConsortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, United States of America.
Qinyun LinCenter for Spatial Data Science, University of Chicago, Chicago, Illinois, United States of America.ORCID 0000-0001-9792-3351
Jonathan OzikConsortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, United States of America.
Marynia KolakCenter for Spatial Data Science, University of Chicago, Chicago, Illinois, United States of America.
Nicholson CollierConsortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, United States of America.
Dylan HalpernCenter for Spatial Data Science, University of Chicago, Chicago, Illinois, United States of America.
Luc AnselinCenter for Spatial Data Science, University of Chicago, Chicago, Illinois, United States of America.
Harel DahariThe Program for Experimental & Theoretical Modeling, Division of Hepatology, Department of Medicine, Stritch School of Medicine, Loyola University Chicago, Maywood, Illinois, United States of America.
Basmattee BoodramDivision of Community Health Sciences, School of Public Health, University of Illinois at Chicago, Chicago, Illinois, United States of America.
John SchneiderDepartments of Medicine and Public Health Sciences, University of Chicago, Chicago, Illinois, United States of America.

Funding

Survey CoreU2CDA050098 · NIDA · UNIVERSITY OF CHICAGO · PI ANSELIN, LUC · 2019 to 2019
$17.2M
Computational modeling for HCV vaccine trial design and optimal vaccine-based combination interventionsR01AI158666 · NIAID · LOYOLA UNIVERSITY CHICAGO · PI Basmattee Boodram, Harel Dahari · 2022 to 2026
$3.5M
Contextual risk factors for hepatitis C among young persons who inject drugsR01DA043484 · NIDA · UNIVERSITY OF ILLINOIS AT CHICAGO · PI BOODRAM, BASMATTEE · 2017 to 2021
$2.9M
Computational discovery of effective hepatitis C intervention strategiesR01GM121600 · NIGMS · LOYOLA UNIVERSITY CHICAGO · PI BOODRAM, BASMATTEE, DAHARI, HAREL · 2017 to 2021
$2.0M
NIAID NIH HHS R01 AI158666NIDA NIH HHS R01 DA043484NIDA NIH HHS U2C DA050098NIGMS NIH HHS R01 GM121600
6 · The paper itself

Abstract

Access to treatment and medication for opioid use disorder (MOUD) is essential in reducing opioid use and associated behavioral risks, such as syringe sharing among persons who inject drugs (PWID). Syringe sharing among PWID carries high risk of transmission of serious infections such as hepatitis C and HIV. MOUD resources, such as methadone provider clinics, however, are often unavailable to PWID due to barriers like long travel distance to the nearest methadone provider and the required frequency of clinic visits. The goal of this study is to examine the uncertainty in the effects of travel distance in initiating and continuing methadone treatment and how these interact with different spatial distributions of methadone providers to impact co-injection (syringe sharing) risks. A baseline scenario of spatial access was established using the existing locations of methadone providers in a geographical area of metropolitan Chicago, Illinois, USA. Next, different counterfactual scenarios redistributed the locations of methadone providers in this geographic area according to the densities of both the general adult population and according to the PWID population per zip code. We define different reasonable methadone access assumptions as the combinations of short, medium, and long travel distance preferences combined with three urban/suburban travel distance preference. Our modeling results show that when there is a low travel distance preference for accessing methadone providers, distributing providers near areas that have the greatest need (defined by density of PWID) is best at reducing syringe sharing behaviors. However, this strategy also decreases access across suburban locales, posing even greater difficulty in regions with fewer transit options and providers. As such, without an adequate number of providers to give equitable coverage across the region, spatial distribution cannot be optimized to provide equitable access to all PWID. Our study has important implications for increasing interest in methadone as a resurgent treatment for MOUD in the United States and for guiding policy toward improving access to MOUD among PWID.

Indexed as

Health Services AccessibilityMethadoneOpiate Substitution TreatmentOpioid-Related DisordersAdultAnalgesics, OpioidComputational BiologyHumansNeedle SharingSubstance Abuse, IntravenousAnalgesics, OpioidMethadone

Identifiers

PMID39058746
PMCPMC11305545

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.