Paul Moore specializes in developing and conducting statistical analyses designed to answer policy-relevant research questions related to the impacts of large-scale health care delivery system and payment reform demonstrations. His methodological expertise includes quasi-experimental designs such as regression discontinuity, difference-in-differences, propensity scores, and instrumental variables. Mr. Moore interprets the results of his research critically within the larger context of the health policy landscape to communicate findings that are relevant and actionable.
Recently, Mr. Moore’s work has focused on evaluating federally funded health care demonstrations, including initiatives to reform Medicare payment in rural hospitals, to bundle Medicaid payments for episodes of care in Arkansas, and to integrate health care for dually eligible Medicare-Medicaid beneficiaries. He is currently the lead quantitative analyst on the evaluation of the Frontier Community Health Integration Project demonstration, a federally funded initiative to improve health outcomes and contain Medicare expenditures via novel payment models in sparsely populated rural counties. Mr. Moore also co-leads a coordinated quantitative analysis across several states participating in the State Innovation Models Initiative, which supports the development and testing of state-based models for multi-payer and health care delivery system transformation.
Mr. Moore joined RTI in 2017. Previously, he conducted research on education policy, including evaluating the impacts of elementary school closures and charter high school attendance in Chicago. He is fluent in SAS, Stata, and R.