InCHIP Lecture Series, Fall 2016
“Expanding the Tool Box: Using the Multiphase Optimization Strategy to Build Effective and Efficient Interventions”
Kari Kugler, PhD, The Pennsylvania State University
12:30 - 1:30pm
Co-Sponsors:
UConn Allied Health Sciences
UConn Center for Environmental Health and Health Promotion
UConn Center for Public Health and Health Policy
UConn College of Liberal Arts and Sciences
UConn Connecticut Institute for Clinical and Translational Science
UConn Department of Communication
UConn Department of Human Development and Family Studies
UConn Global Affairs
UConn Neag School of Education
UConn Occupational and Environmental Medicine
UConn Office of Public Engagement
UConn School of Business
UConn School of Medicine
Location
Video Conference Room 204, 2nd floor
J. Ray Ryan Building, 2006 Hillside Road
University of Connecticut, Storrs Campus
For directions and maps, see http://www.chip.uconn.edu/about/directions-to-chip/.
Accessibility: elevator available in building lobby on ground floor.
Web Stream
You can view this talk streamed live during the lecture – or archived after the lecture – here.
About the Speaker
Dr. Kugler is a Research Associate at the Methodology Center at Penn State. Trained as a behavioral epidemiologist, her work focuses on the design and analysis of multi-component, multi-level interventions targeting a wide range of health behaviors among various populations and contexts. She collaborates with Dr. Linda Collins on building highly effective and efficient behavioral interventions and currently has a project using an iterative approach to building an effective STI preventive intervention among college students.
About this talk
The goal of behavioral interventions is to change behaviors that ultimately improve the public’s health. Because most behaviors are complex, behavioral interventions typically target many levels of influence (e.g., individual, peer, family, and community) and include many components (e.g., increasing knowledge, improving self-efficacy, removing barriers, etc.). Most often, these components are packaged together and evaluated using a randomized controlled trial (RCT); while an RCT is an excellent design for evaluating an intervention’s effect, it is less efficient for determining which components of an intervention are working, which is critical for optimizing an intervention. The multiphase optimization strategy (MOST), is an engineering-inspired framework for optimizing behavioral interventions. This approach helps the investigator identify which components of an intervention are worth retaining or discarding, taking into consideration the constraints of time, money, or other resources. MOST represents a powerful new tool for public health researchers; as the availability of resources diminishes, an optimization approach to intervention design will help create more potent and efficient interventions that move intervention science forward faster toward improving the overall public health impact.
More information available at: http://chip.uconn.edu/lecture-series/2016-2017-lecture-series/
For more information, contact: Julie DeSalvo at lectureseries@chip.uconn.edu