Mathematica is developing reliable and valid quality measures for certain groups of people enrolled in Medicaid who have the highest costs and greatest needs for health care and social support.
- Quantitative studies
- Maternal and child health
- Data Analytics
- Medicaid and CHIP
- Population Health
- Quality Measurement
- State Health Policy
Lindsey Leininger is an expert in Medicaid analytics supporting program design and evaluation.
Leininger's work uses data from administrative data systems and population-based surveys to study a variety of policy contexts, including eligibility reform, delivery system reform, risk stratification efforts, and quality measurement. Recent projects include developing, testing, and risk-adjusting quality measures for vulnerable Medicaid beneficiaries, and evaluating the impacts of Affordable Care Act-related Children's Health Insurance Program (CHIP) eligibility changes on children's access to care. She is also a member of the MACBIS analytics project team, designing new analytic tools and products using data from the Transformed Medicaid Statistical Information System.
Before joining Mathematica in 2015, Leininger held research and faculty positions at Chapin Hall at the University of Chicago and the University of Illinois-Chicago, respectively. During this time she spent seven years as a core investigator evaluating eligibility and delivery system reforms within the Wisconsin Medicaid program, work initiated during her tenure as a Robert Wood Johnson Health and Society Scholar at the University of Wisconsin-Madison. She holds a Ph.D. in public policy studies from the University of Chicago.