Taking the Translational Science Benefits Model from concept to operationalization: opportunities and challenges in...

Area of Science:

• Translational Science
• Health Services Research
• Research Impact Assessment

Background:

• The Translational Science Benefits Model (TSBM) was created to conceptualize translational research benefits.
• The TSBM is primarily a conceptual framework, not an operational process.
• There is a need to integrate the TSBM into operational processes to demonstrate research impact.

Purpose of the Study:

• To discuss the integration of the TSBM into operational processes for demonstrating translational research impact.
• To explore TSBM-informed programmatic processes for assessing impact.
• To identify key factors for using the TSBM as a data collection tool.

Main Methods:

• Discussion of three TSBM-informed programmatic processes: case studies, Pilots program reporting, and an organizational database.
• Analysis of key factors for TSBM integration, including 'who' codes data, 'how' outcomes are defined, and 'when' measurement is adapted.
• Consideration of workforce development and translational science-specific outcomes.

Main Results:

• TSBM can be used as a program-integrated operational mechanism.
• Key considerations for TSBM implementation include data coding, outcome definition, and timing.
• Feasibility and validity must be balanced when collecting TSBM data.

Conclusions:

• The TSBM offers valuable lessons for data collection on translational research outcomes.
• Integrating the TSBM can enhance the understanding, demonstration, and augmentation of translational research impact.
• Opportunities exist to expand the TSBM's utility as a data collection tool.