A team from Duke University’s Clinical and Translational Science Institute and Social Science Research Institute (SSRI) is helping move the Translational Science Benefits Model (TSBM) from concept to practice. Originally developed to articulate the real-world benefits of translational research, TSBM is now being integrated into programmatic processes such as case studies, pilot program reporting, and organizational databases.
In a study recently published in Frontiers in Public Health, the researchers highlight key considerations for implementation, including who collects and codes data and how outcomes are defined.
TSBM is a framework designed to help researchers and institutions identify, measure, and communicate the real-world benefits of translational research — that is, research that moves scientific discoveries from the lab into practical applications that improve health and well-being. Essentially, TSBM helps answer the question: “How does translational research make a difference in the real world?”
"It is essential to consider how a framework or conceptual model can be operationalized into real-world measurement — especially in fields like translational research and the emerging field of translational science, where meaningful real-world outcomes have not always been clearly defined or conceptualized,” said Jessica Sperling, PhD, lead author and SSRI’s director of applied research, evaluation, and engagement.
“This enables rigorous empirical assessment of impact and also helps identify gaps or limitations in existing frameworks, ultimately supporting the development of stronger and more actionable conceptual approaches."
In the paper, Sperling and the team emphasized that using TSBM as a data collection mechanism can strengthen efforts to demonstrate and enhance the real-world impact of translational science. They also recognized that TSBM isn’t one-size-fits-all. Some areas, like workforce development, need tailored approaches, and challenges remain in defining outcomes and collecting data consistently across different programs.