Mathematica is using a mixed-methods design approach to evaluate the Independence at Home Demonstration. The demonstration’s goal is to improve the provision of comprehensive, coordinated, continuous, and accessible care to chronically ill, disabled beneficiaries.
A new approach to evaluating health care payment models.Read more
Mathematica informs health policy debates and addresses decision makers’ information needs through reliable data and analysis. Driven by broad-based public interest in finding ways to improve the quality, efficiency, affordability, equity, and financing of health care, we have contributed to the base of research and data in care delivery and financing, quality measures and health systems change. We also study longstanding issues, such as covering the uninsured, measuring and improving health care quality, controlling health care costs, and designing efficient and effective delivery systems to meet diverse needs.
Evaluation of the Independence at Home Demonstration
Examining the Use of Head Impact Sensors in School Sports
To help researchers and policymakers identify the best approaches to addressing the concussion epidemic in youth athletics, Mathematica conducted a pilot project to explore the experiences of stakeholders at two high schools that outfitted athletes with head impact sensors.
Principal Program Analyst
Ellen Singer specializes in data management and analysis, is an expert in using administrative data for research and analysis, and also has expertise in Medicare payment policy and reform.Featured PublicationsTopics
- Medicaid and CHIP
- Data Analytics
with at least one activity of daily living.