Evidence map›Paper›PMID 40606224›Full record

ArticleHealth affairs scholar2025

Medicaid managed care organization service coverage and diagnosis and treatment of opioid use disorder: evidence from quasi-random auto-assignment in Kentucky.

Shelby R Steuart, Miguel Antonio G Estrada, Christina M Andrews, Colleen M Grogan, Olivia M Hinds, Emily C Lawler, Lauren A Peterson, Felipe Lozano-Rojas, Melissa A Westlake, Coady Wing and 1 more

Abstract read
In one paragraph

Article in Health affairs scholar, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Shelby R SteuartCrown Family School of Social Work, Policy, and Practice, The University of Chicago, Chicago, IL 60637, United States.ORCID https://orcid.org/0000-0002-6615-1843
Miguel Antonio G EstradaDepartment of Public Administration and Policy, University of Georgia, Athens, GA 30602, United States.ORCID https://orcid.org/0000-0002-0898-2200
Christina M AndrewsDepartment of Health Services Policy and Management, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, United States.
Colleen M GroganCrown Family School of Social Work, Policy, and Practice, The University of Chicago, Chicago, IL 60637, United States.
Olivia M HindsDepartment of Health Services Policy and Management, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, United States.ORCID https://orcid.org/0000-0002-2048-4079
Emily C LawlerDepartment of Public Administration and Policy, University of Georgia, Athens, GA 30602, United States.
Lauren A PetersonCrown Family School of Social Work, Policy, and Practice, The University of Chicago, Chicago, IL 60637, United States.ORCID https://orcid.org/0000-0002-6625-4973
Felipe Lozano-RojasDepartment of Public Administration and Policy, University of Georgia, Athens, GA 30602, United States.ORCID https://orcid.org/0000-0002-9300-6094
Melissa A WestlakeDepartment of Health Services Policy and Management, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, United States.
Coady WingSchool of Public and Environmental Affairs, Indiana University, Bloomington, IN 47405, United States.ORCID https://orcid.org/0000-0003-0033-7562
Amanda J AbrahamDepartment of Public Administration and Policy, University of Georgia, Athens, GA 30602, United States.ORCID https://orcid.org/0000-0002-7455-7464

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Opioid-related mortality continues to claim tens of thousands of American lives annually. Medicaid plays an outsized role in financing opioid use disorder (OUD) treatment, paying for almost 40% of all Americans who received OUD treatment in 2017. Methods: Using Medicaid T-MSIS Analytic Files data and a novel data set of Medicaid managed care organization (MCO) plan coverage, we examined the relationship between comprehensiveness of benefits for OUD treatment provided by Medicaid MCO plans and the likelihood of OUD diagnosis and medications for OUD (MOUD) receipt among newly enrolled Medicaid beneficiaries in Kentucky. We use two stage least squares to adjust for MCO plan choice that may be correlated with individual OUD risk or individual demand for OUD treatment. Results: Our findings show that Medicaid beneficiaries assigned to MCO plans with more comprehensive OUD benefits are more likely to be diagnosed with OUD and to receive MOUD. Conclusion: These results suggest that increasing Medicaid MCO plan coverage to include a broader array of OUD treatment services and medications may be an effective strategy for increasing both OUD diagnosis and MOUD receipt, which is crucial for combating the ongoing opioid epidemic.

Indexed as

medicaidmedicaid managed careopioid use disorder

Identifiers

PMID40606224
PMCPMC12215311

What OpenQuestion holds

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LicenceCC BY
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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.