Objectives/Goals: Six CTSA hubs collected Translational Science Benefits (TSBM) Model data and implemented standardized coding to enhance rigor and reproducibility, assess the real-world impact of CTSA-supported research, and analyze cross-institutional impact trends. Methods/Study Population: Six CTSA hubs surveyed supported investigators who self-reported the TSBM benefits resulting from hub-supported project (s). De-identified data was shared with the University of California (UCI) CTSA. UCI coordinated with hubs to code their own data using a TSBM coding tool to assess which applicable criteria were met. UCI collected feedback on usability and facilitated discussions to enhance reliability across coders. UCI provided final datasets to hubs for site-specific analysis of benefits and conducted cross-site analyses of TSBM benefits. A benefit was demonstrated when 2 necessary criteria were met, and 80% of the possible criteria were met. Results/Anticipated Results: TSBM data were coded by 6 CTSA hubs from 86 pilot research projects. Most pilots were funded for 1 year (80%) with the mean award over 41, 000. Investigators for projects were surveyed up to 7. 5 years post-award, with the median timepoint around 3 years. Across hubs, 274 potential benefits were reported and 34 demonstrated benefits were confirmed from coding. Pilots more commonly had demonstrated clinical and medical benefits (16. 3% of projects) than community (5. 8%) or economic (3. 5%). No projects had demonstrated policy benefits. Over 24% of projects had one or more demonstrated benefit of any kind. Demonstrated benefits were reported in 27. 8% of projects surveyed within 2. 5 years, 18. 2% of projects from 2. 5 to 5 years, and 50% of projects over 5 years post award. Discussion/Significance of Impact: A standardized, reliable coding process for TSBM data creates rigor for assessing real-world impact data that hubs can confidently connect to their support of CTSA funded-projects. This shared methodology across hubs allows for cross-institutional impact analysis and dissemination.
Woodworth et al. (Wed,) studied this question.