Document Type

Article

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.

Digital Object Identifier (DOI)

https://doi.org/10.1093/haschl/qxaf119

Rights

© The Author(s) 2025. Published by Oxford University Press on behalf of Project HOPE - The People-To-People Health Foundation, Inc. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited

APA Citation

Steuart, S. R., Estrada, M. A. G., Andrews, C. M., Grogan, C. M., Hinds, O. M., Lawler, E. C., Peterson, L. A., Lozano-Rojas, F., Westlake, M. A., Wing, C., & Abraham, A. J. (2025). Medicaid managed care organization service coverage and diagnosis and treatment of opioid use disorder: evidence from quasi-random auto-assignment in Kentucky. Health Affairs Scholar, 3(7). https://doi.org/10.1093/haschl/qxaf119

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