This program aims to identify effective, replicable strategies for enhancing quality of care for children. Mathematica’s evaluation is assessing whether states achieved their objectives and evaluating which strategies proved most effective.
- Administrative Data Analysis
- Economic Cost Analysis
- Data Quality and Validation
- Basic Health Program
- Express Lane Eligibility
- Medicaid and CHIP
- Data Analytics
Adam Swinburn conducts research and provides technical assistance in a variety of health policy areas. His work focuses on administrative data analysis, data quality and validation, and economic cost analysis.
Currently, Mr. Swinburn is evaluating Connecting Kids to Coverage, which seeks to enroll eligible children in Medicaid and in the Children’s Health Insurance Program (CHIP). He provides technical assistance on outcomes measurement to grantees and leads the project’s quantitative data management, analysis, and reporting to the Centers for Medicare & Medicaid Services (CMS).
Mr. Swinburn also assists states and the federal government as they execute health care reform. He led the implementation of CMS’s Federal Funding Methodology for the Basic Health Program, and he oversaw the analysis of enrollment patterns and trends for this program in New York and Minnesota. In addition, Mr. Swinburn supported data management and validation for the Medicaid and CHIP performance indicators for eligibility and enrollment, and he evaluated the relationship between marketplace rules and competition in state-based marketplaces.
Mr. Swinburn has worked on several economic cost studies at Mathematica. He analyzed the administrative savings from Express Lane Eligibility enrollments in Medicaid and CHIP, the societal costs of programs designed to prevent teen pregnancy, and the costs to medical practices of providing home-based primary care to high-need Medicare populations.
Before joining Mathematica, Mr. Swinburn spent four years working in economic regulation as a civil servant in the United Kingdom. He holds an M.P.P. from the University of Michigan.
National Evaluation of CHIPRA Quality Demonstration Grant