Paula M. Lantz, PhD, MS is professor and associate dean for academic affairs at the Gerald R. Ford School of Public Policy and professor of health management and policy in the School of Public Health at the University of Michigan. As a social demographer/epidemiologist, Dr. Lantz’s research focuses on public health policy and upstream social policies that address population health issues and health disparities. Current research projects focus on policy issues related to clinical preventive services, and the potential for social impact bonds/Pay for Success projects to address social determinants of health and reduce health care costs in Medicaid populations. Dr. Lantz is an elected member of the National Academy of Medicine.
The Role of Pay for Success in Building a Culture of Health
Building the Evidence for Health in All Policies
Best Practices for Addressing the Medical and Social Needs of “Super-Utilizer” Patients
Advancing the Utility of Policy Simulation Models
"Pay for Success" Financing and Home-Based Multicomponent Childhood Asthma Interventions: Modeling Results From the Detroit Medicaid Population
In June, the University of Michigan P4A research hub published new findings in Milbank Quarterly as part of its ongoing study of Pay for Success (PFS) financing models for evidence-based interventions aimed at the social determinants of health. PFS is an innovative but still emerging approach to funding large-scale public sector programs such as Medicaid. It relies on private investors who receive a return from the public sector only if certain performance-based metrics are achieved.
Pay For Success And Population Health: Early Results From Eleven Projects Reveal Challenges And Promise
The University of Michigan P4A research hub published an article in Health Affairs regarding one of their projects focused on social impact bonds, also known as “Pay for Success” (PFS) programs. These programs use private capital to finance prevention programs that help a government reduce public expenditures or achieve greater value.