Statistical MethodsWe use state-of-the-art statistical and econometric approaches to isolate the effects of health care programs and policies.
We understand the economic incentives and regulatory issues that affect health care delivery systems, and these factors underpin our research and analyses.
We have coded and validated over 100 metrics of health care access, quality, and cost, including metrics developed by the National Committee for Quality Assurance (NCQA) and the federal Agency for Healthcare Research and Quality (AHRQ), "home grown" measures tailored to specific projects, and standardized expenditure measures. Our metrics library enables us to evaluate health care policies and programs from every angle.
Health Care Cost and Quality Metrics
Big Data Analysis
Supported by the computing power of a leading academic medical institution, our team has developed the infrastructure, processes, and expertise to successfully manage and analyze large, complex datasets:
- State Medicaid data: We have extensive experience with administrative claims from Oregon, Washington, Colorado, and Idaho, including medical, pharmacy, enrollment, dental, long-term care and nursing home claims.
- Federal Medicare data: Our NIH-funded study of Medicare's Comprehensive Care for Joint Replacement Program uses data from Medicare fee-for-service members across the nation.
- Multi-Payer data: We have used Oregon's All-Payer Claims Database to create common measures of efficient care across Medicaid and commercial insurance members, and to evaluate quality of care for dual-eligibles.
- Survey and electronic health record (EHR) data: Our experience with survey data includes Consumer Assessment of Healthcare Providers and Systems (CAHPS) and a specialized survey of behavioral health needs in South Dakota.
We make complex concepts accessible to a wide range of audiences.