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

BACKGROUND: 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.

Broadband internet subscription rates and opioid prescribing via telemedicine during the COVID-19 pandemic.

PURPOSE: In response to the COVID-19 pandemic, the US DEA allowed controlled substance prescriptions to be issued following a telemedicine encounter. This study evaluated changes in opioid prescribing in Kentucky counties with low and high rates of broadband subscription before, during, and after a series of statewide emergency declarations that may have affected health care access. METHODS: The study used the prescription drug monitoring program to analyze records of opioid analgesic prescriptions dispensed to opioid-naïve individuals in high (N = 26) and low (N = 94) broadband access counties during 3 periods: before a state of emergency (SOE) and executive order (EO) limiting nonemergent health care services (January 2019-February 2020), while the EO was active (March-April 2020), and after health care services began reopening (May-December 2020). Marginal generalized estimating equations-type negative binomial models were fit to compare prescription counts by broadband access over the 3 periods. FINDINGS: Rates of opioid dispensing to opioid-naïve individuals decreased significantly during the EO, but increased nearly to pre-SOE levels after health care services began reopening. Dispensing rates in low broadband counties were higher than those in high broadband counties during all time periods, although these differences were negligible after adjusting for potential confounders. During the EO, prescriptions were written for longer days' supply in both county types. CONCLUSIONS: The overall dramatic reduction in opioid prescribing rates should be considered when evaluating annual opioid prescribing trends. However, broadband subscription rate did not appear to influence opioid prescriptions dispensed in Kentucky during the EO.