Design, Implementation, and Evolution of the Medicaid Outcomes Distributed Research Network (MODRN)

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dc.contributor.authorZivin, Kara
dc.contributor.authorAllen, Lindsay
dc.contributor.authorBarnes, Andrew J.
dc.contributor.authorJunker, Stefanie
dc.contributor.authorKim, Joo Yeon
dc.contributor.authorTang, Lu
dc.contributor.authorKennedy, Susan
dc.contributor.authorAhrens, Katherine A.
dc.contributor.authorBurns, Marguerite
dc.contributor.authorClark, Sarah
dc.contributor.authorCole, Evan
dc.contributor.authorCrane, Dushka
dc.contributor.authorIdala, David
dc.contributor.authorLanier, Paul
dc.contributor.authorMohamoud, Shamis
dc.contributor.authorJarlenski, Marian
dc.contributor.authorMcDuffie, Mary Joan
dc.contributor.authorTalbert, Jeffery
dc.contributor.authorGordon, Adam J.
dc.contributor.authorDonohue, Julie M.
dc.date.accessioned2024-01-03T21:03:45Z
dc.date.available2024-01-03T21:03:45Z
dc.date.issued2022-07-15
dc.description.abstractBackground: In the US, Medicaid covers over 80 million Americans. Comparing access, quality, and costs across Medicaid programs can provide policymakers with much-needed information. As each Medicaid agency collects its member data, multiple barriers prevent sharing Medicaid data between states. To address this gap, the Medicaid Outcomes Distributed Research Network (MODRN) developed a research network of states to conduct rapid multi-state analyses without sharing individual-level data across states. Objective: To describe goals, design, implementation, and evolution of MODRN to inform other research networks. Methods: MODRN implemented a distributed research network using a common data model, with each state analyzing its own data; developed standardized measure specifications and statistical software code to conduct analyses; and disseminated findings to state and federal Medicaid policymakers. Based on feedback on Medicaid agency priorities, MODRN first sought to inform Medicaid policy to improve opioid use disorder treatment, particularly medication treatment. Results: Since its 2017 inception, MODRN created 21 opioid use disorder quality measures in 13 states. MODRN modified its common data model over time to include additional elements. Initial barriers included harmonizing utilization data from Medicaid billing codes across states and adapting statistical methods to combine state-level results. The network demonstrated its utility and addressed barriers to conducting multi-state analyses of Medicaid administrative data. Conclusions: MODRN created a new, scalable, successful model for conducting policy research while complying with federal and state regulations to protect beneficiary health information. Platforms like MODRN may prove useful for emerging health challenges to facilitate evidence-based policymaking in Medicaid programs.
dc.description.urihttps://journals.lww.com/lww-medicalcare/abstract/2022/09000/design,_implementation,_and_evolution_of_the.6.aspx
dc.format.extent20 pages
dc.genrejournal articles
dc.genrepostprints
dc.identifier.citationZivin, Kara, Lindsay Allen, Andrew J. Barnes, Stefanie Junker, Joo Yeon Kim, Lu Tang, Susan Kennedy, et al. “Design, Implementation, and Evolution of the Medicaid Outcomes Distributed Research Network (MODRN).” Medical Care 60, no. 9 (September 2022): 680. https://doi.org/10.1097/MLR.0000000000001751.
dc.identifier.urihttps://doi.org/10.1097/MLR.0000000000001751
dc.identifier.urihttp://hdl.handle.net/11603/31175
dc.language.isoen_US
dc.publisherWolters Kluwer
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofA. All Hilltop Institute (UMBC) Works
dc.relation.ispartofUMBC Staff Collection
dc.relation.ispartofE. Behavioral Health (The Hilltop Institute, UMBC)
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.titleDesign, Implementation, and Evolution of the Medicaid Outcomes Distributed Research Network (MODRN)
dc.typeText

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