Evidence map›Paper›PMID 38191857›Full record

ArticleHealth services research2024

Simulated impact of mobile opioid treatment program units on increasing access to methadone for opioid use disorder.

Jason B Gibbons, Wenshu Li, Elizabeth A Stuart, Brendan Saloner

Open access · greenAbstract read
In one paragraph

Article in Health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Mobile addiction treatment units: a narrative review.Addiction science & clinical practice · 2025
    Review
  7. Article
  8. Article
  9. Article
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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

4 authors at 3 institutions in 2 countries.

Jason B GibbonsDepartment of Health Systems, Management & Policy, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.ORCID 0000-0002-1724-6897
Wenshu LiFoundation Medicine, Cambridge, Massachusetts, USA.
Elizabeth A StuartDepartment of Health Policy & Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Brendan SalonerDepartment of Health Policy & Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Johns Hopkins University · USPHG Foundation · GBUniversity of Colorado Anschutz Medical Campus · US

Funding

Bloomberg Philanthropies 2021-97089
6 · The paper itself

Abstract

objectiveTo model the potential impact of mobile methadone unit implementation in Louisiana on net medication for opioid use disorder (MOUD) treatment rates. DATA SOURCES/STUDY

settingWe use secondary Louisiana Medicaid claims data between 2020 and 2021. STUDY

designWe simulate the impact of mobile methadone units in Louisiana using two approaches: (1) a "Poisson regression approach," which predicts the number of opioid use disorder (OUD) patients that might use methadone at mobile locations based on the underlying association between methadone use and proximity to a brick-and-mortar methadone clinic; (2) a "policy approach," which leverages local treatment uptake rates following the expansion of methadone coverage to Louisiana Medicaid beneficiaries in 2020 to estimate methadone use following mobile unit implementation. Models were run in cases where mobile methadone operators could choose their operation locations freely and in a separate instance where they were restricted to serving rural locations. DATA COLLECTION: Our analytic sample includes 43,341 Louisiana Medicaid beneficiaries with one or more primary or secondary diagnoses for opioid dependence. PRINCIPAL

findingsWe predict that 10 new mobile methadone units in Louisiana would increase the net MOUD treatment rate in the state by 0.54-2.39 percentage points. If these mobile units delivered Methadone exclusively to rural areas, they could increase rural MOUD treatment by 8.54-13.67 percentage points. Further, roughly 20% of all beneficiaries residing in rural areas being treated with methadone would be an average of 24 miles closer to a methadone treatment provider following mobile unit implementation.

conclusionsMobile methadone units represent a promising innovation in the delivery of methadone that is likely to increase methadone use, especially in underserved rural locations. However, we find significant variation in their impact conditional on where they choose to operate, and so careful location planning will be required to maximize their benefit.

Indexed as

Health Services AccessibilityMedicaidMethadoneOpiate Substitution TreatmentOpioid-Related DisordersAdultFemaleHumansLouisianaMaleMiddle AgedMobile Health UnitsUnited StatesMethadonemethadonemobile unitsopioid treatment programopioid use disordertreatment access

Identifiers

PMID38191857
PMCPMC11366956
OpenAlexW4390782526

What OpenQuestion holds

Textmetadata
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.