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Evaluating confidence in translational science principles to guide workforce development
Darcy A Freedman1, Holly E Hartman1, Emily S Nelson1
1Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Journal of Clinical and Translational Science
|July 17, 2026
Summary
A new scale assesses confidence in translational science (TS) principles for workforce development. The study identified key areas where confidence is lowest, guiding future training initiatives.
Area of Science:
- Translational Science
- Health Research
- Workforce Development
Background:
- Translational science (TS) is crucial for health innovation.
- Existing workforce development lacks tools to measure confidence in TS principles.
Purpose of the Study:
- Develop and validate a scale to assess confidence in the seven TS principles.
- Gather feedback on evaluating future TS workforce development.
Main Methods:
- Cross-sectional survey of 158 researchers across three Clinical and Translational Science Award hubs.
- Factor analysis, Cronbach's alpha for reliability, and mixed effects models for confidence level analysis.
Main Results:
- A 14-item scale emerged with four factors: Taking Risks for Impact, Multi-perspective Research, Collaborative Methods, and Efficiency and Productive Failure.
- Lowest confidence levels were observed in Efficiency and Productive Failure (2.56) and Taking Risks for Impact (2.79).
- No demographic or site-based differences in confidence were found.
Conclusions:
- The developed scale can guide TS workforce development priorities.
- The scale aids in evaluating the impact of interventions on TS principle confidence.
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