Mathematica helps Medicare assess whether a new pay-for-performance model reduces heart attacks and strokes for high-risk Medicare beneficiaries.
- Program Evaluation
- Impact Analysis Design and Implementation
- Econometrics and Predictive Analytics
- Primary Care
- End-of-Life Care
- Maternal and Child Health
- Medicaid and CHIP
- Payment Reform
Keith Kranker focuses on quantitative research analyses, having designed or implemented more than a dozen impact evaluations, including individual and cluster randomized designs, quasi-experimental studies, and observational studies. His work has focused on the effects of the Centers for Medicare & Medicaid Services’ programs on health care utilization, spending, and health outcomes for Medicare and Medicaid beneficiaries.
Kranker currently leads several tasks related to measuring impacts on beneficiaries and providers for the evaluations of the Medicare Care Choices Model, the Maryland Total Cost of Care Model, and Million Hearts Cardiovascular Disease Risk Reduction Model. He has expertise in using a wide variety of statistical and econometric analysis methods and predictive data science techniques to conduct research on Medicare, Medicaid, CHIP, WIC, and other program outcomes using survey data and administrative data files, on topics including health care payment models, primary care redesign, maternal and child health, chronic conditions, end-of-life care, and rural healthcare.
Before joining Mathematica, Kranker held positions at the Millennium Challenge Corporation, the University of Maryland, and the World Bank Group. He holds a Ph.D. in economics from the University of Maryland. His research has been included in numerous Centers for Medicare & Medicaid Services reports and published in multiple venues, such as the Journal of Health Economics, the Journal of Human Resources, Health Services Research, The American Statistician, and JAMA Cardiology. He lives in Silverton, Colorado.
Million Hearts Cardiovascular Disease (CVD) Risk-Reduction Model
FNS WIC-Medicaid Study II
We use linked administrative data from WIC, Medicaid, and vital records to analyze associations between (1) WIC participation during pregnancy and birth outcomes, health care use/costs, and maternal behaviors and risk factors; and (2) child WIC participation and health care use and costs.
Partnership for Patients
Mathematica conducted a formative evaluation and an impacts evaluation of this initiative. The formative evaluation included assessing and providing feedback on the progress of hospital engagement networks and their participating hospitals, and on the campaign overall, and suggesting ways to improve....
HCIA Evaluations: Primary Care Redesign
Mathematica evaluated the 14 primary care redesign programs, which operate at different levels (that is, physician practices, hospitals, or health systems). The evaluation team assessed improvements in the coordination, efficiency, and quality of patient care.