Get with the Program: Insights into Program Impacts on Behavioral Risk Migration


Jack Baker Behavioral Risk Migration

Jack Baker, PhD

Senior Research Analyst, HealthFitness Corporation

AAOHN 1.05 | AAFP 1.0 | ACSM 1.0 | CDR 1.0 | NCHEC 1.0*

While giving people choices is a foundational element of behavior design, too many choices can interfere with our ability to make decisions. Today, individuals have more choices than ever to help them live healthy lifestyles. So how do you design a wellbeing program that balances choice and effectiveness? We take a two-pronged approach: first, understand the individual – impacts of choice architecture, motivation level, and behavior influences; second, continuously analyze the combination of programs and results at the population level in order to provide a mix of intervention choices that maximize the likelihood of success for the targeted behavior(s)/risks. We will use aerobic activity as an example behavior to walk through the process by which we apply these concepts to improve risk migration.

Presenter Bio(s):

Jack is a senior research analyst at HealthFitness. Over the last fifteen years, he has amassed a wide-ranging research and analytic background that spans the fields of anthropology, applied demography and statistics, operations research, and public health. Jack is best-known as a demographic methodologist and geospatial data engineer, but his experience and expertise has progressively converged upon the study of the relationship between individual behavior and aggregate population dynamics. His emphasis has been upon forecasting and prediction, and in this pursuit he applied methods from machine learning, applied mathematical demography, and stochastic simulation to study a wide range of problems. At Health Fitness, Jack has provided analytic support to a variety of projects including analyses of cost-offsets associated with onsite screening, evaluations of the impact of program participation on healthy lifestyle outcomes, demographic analyses of program participation/recruitment, probabilistic risk and decision analysis around performance guarantee measures, and the identification of factors that predict weight management success and positive behaivor change. Jack’s overarching project revolves around the engineering of an integrated measurement and modeling framework for analyzing and optimizing HealthFitness overall delivery of value to clients.
Jack is well-known for his work in demography and anthropology. His fieldwork has spanned two continents and he has provided expert consulting services to numerous federal, state, local, and tribal governments as well as to the National Academies of Sciences. Jack is the author of over 50 peer-reviewed journal articles, conference papers, and book chapters. His work has been featured in numerous journals including Nature’s Pediatric Research, American Journal of Human Biology, Journal of Population Research, Human Nature, Human Biology, Population Health Metrics, Population Research and Policy Review, Annals of Epidemiology, PloS One, and the American Journal of Physical Anthropology. His work has also been featured in several edited volumes in the Springer Series in Demography and he co-author of a recently-released title in that series entitled Cohort Change Ratios and Their Applications. His research has been funded by the National Science Foundation and the National Institutes of Health and Jack has served as an referee for academic journals such as Journal of Population Research, American Journal of Human Biology, Annals of Human Biology, Demography, Population and the Environment, the American Statistician, Biology Letters, Economics and Human Biology, and the Journal of Applied Geography. From 2010-2014, Jack was a member and Chair of the Population Association of America’s Committee on Applied Demography—the leading professional association for applied demographers in the world. From 2009-2017, he was a member of the National Academies of Science’s Panel to Review the 2010 Census and the Standing Committee on the Re-engineering of the 2020 Census.