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.
Health policy experts review key considerations and lessons learned.Read the brief and fact sheet
New podcast explores progress, challenges in relieving burdens of family caregivers.Read more and listen
Watch our new video, which links to resources related to the 50th anniversary of Medicare and Medicaid.Read more
Mathematica's health policy experts discuss the rationale for collecting data on physicians and their practices.Read more
First-year results show higher quality care and lower Medicare expenditures.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
Improving Employment Outcomes for People with Psychiatric Disorders and Other Disabilities
Mathematica conducted a comprehensive literature review of services and supports that facilitate employment for people with psychiatric disorders. The review focused on three subgroups: (1) long-term clients of mental health services, (2) workers at risk of job loss due to a mental health condition,...
Frank Potter specializes in the design and implementation of probability surveys of people, program participants, and health professionals and the implementation of such statistical tasks as weight adjustment, imputation of missing data procedures, and data analysis.Featured ProjectsFeatured Publications
- Benefit Accuracy Measurement Methodology Evaluation
- National Beneficiary Survey Round 4, (Volume 1 of 3): Editing, Coding, Imputation, and Weighting Procedures
- Statistics and Measurement
with at least one activity of daily living.