Express Lane Eligibility allows a state’s Medicaid and/or CHIP program to rely on another public agency’s eligibility findings to qualify children for public health insurance coverage. Mathematica evaluated ELE in the Medicaid and CHIP programs.
- Children’s health coverage
- Evaluation design
- Impact evaluation
- Measurement, evaluation, and learning
- Teen pregnancy and STD prevention
- State Health Policy
- Medicaid and CHIP
- Data Analytics
Christopher Trenholm leads a team of more than 400 researchers, technologists, clinicians, data and analytics experts, policy experts, survey experts, and program design and management experts all working on behalf of government, philanthropic, and private-sector clients. These individuals share our mission and passion to improve public well-being through better health and high quality health care for all.
Trenholm has directed many evaluations and studies focused on improving the health and well-being of low-income children and families. He has led several large-scale foundation-funded projects examining state insurance coverage for children and has served as principal investigator for two congressionally mandated national studies of the State Children’s Health Insurance Program. Trenholm has also conducted extensive research on promising approaches for preventing teen pregnancy and sexually transmitted diseases. He directed Mathematica’s congressionally mandated abstinence evaluation, which won the American Evaluation Association’s Outstanding Evaluation Award in 2009. And he co-led a team at Mathematica that developed federal evidence review standards for studies of teen pregnancy prevention, which the Agency for Children and Families within the U.S. Department of Health and Human Services honored in 2010 with a Contract of the Year award.
Before joining the senior management team in 2013, Trenholm was a senior fellow in Mathematica’s Health Research Division and served as a lecturer in evaluation design at Princeton University’s Woodrow Wilson School of Public and International Affairs. He joined Mathematica as a researcher in 1997. He holds a Ph.D. in economics from the University of North Carolina.
Evaluating Express Lane Eligibility
CHIPRA 10-State Evaluation
This study addressed a series of policy questions related to the impact of CHIP, the effective operation of CHIP programs, and the inter-relationship between and among CHIP, Medicaid, and employer-sponsored insurance coverage for low-income children.
Evaluation of Abstinence Education Programs
Mathematica was commissioned to conduct a congressionally mandated evaluation of the effectiveness of abstinence education programs. Programs receiving these funds taught abstinence from sexual activity outside of marriage as the expected standard for school-age children and could not endorse or promote...