This initiative is building an infrastructure for robust data analytics, and integrating and aligning federal and state data sources, to support data-driven policy decisions about Medicaid and CHIP policy and programs.
- Program and policy evaluation
- Medicaid waiver programs
- Physical and behavioral health integration
- Quasi-experimental and mixed methods studies
- Delivery System Reforms
- Mental Health and Substance Use
- Medicaid and CHIP
- Human Services
Julia Baller’s research focuses on assessing Medicaid policies and programs, particularly for populations with behavioral health conditions. She has expertise in designing and conducting mixed-methods program and policy evaluations.
Baller currently leads the impact evaluation of states that are pursuing Delivery System Reform Incentive Payment programs via 1115 waivers and advises the Centers for Medicare and Medicaid Services (CMS) on evaluation and monitoring plans for these states. She is also leading development of Medicaid data tools for the CMS Innovation Accelerator Program in the physical/behavioral health integration focus area.
Baller’s work has been published in peer-reviewed journals, including BMC Psychiatry, Psychiatric Services, Schizophrenia Bulletin, and Autism. She holds in Ph.D. in health services research and policy from the Johns Hopkins Bloomberg School of Public Health.
Mathematica Experts Showcase MACBIS Expertise and Present on Medicaid Methods and Topics at Medicaid Enterprise Systems Conference
Mathematica experts will showcase their expertise in providing business analytics and data quality development for the Medicaid and CHIP (Children’s Health Insurance Program) Business Information Solution (MACBIS) at this year’s Medicaid Enterprise Systems Conference in Chicago.