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Published on: February 19, 2021
Pilot testing of the Research Impact Assessment Framework.
Robyn L Ward1, Don Nutbeam2, Wilfred Mijnhardt3
1Faculty of Medicine and Health, University of Sydney, NSW 2006, Australia.
The Research Impact Assessment Framework was piloted to evaluate research impact on health priorities. Findings show the framework is feasible and can be enhanced by AI tools and existing data for better assessment.
Area of Science:
- Health services research
- Research evaluation
- Knowledge translation
Background:
- Traditional academic impact metrics often fail to capture the real-world value of research.
- There is a need for frameworks that assess research alignment with health system priorities.
- The Research Impact Assessment Framework was developed to address these limitations.
Purpose of the Study:
- To pilot the Research Impact Assessment Framework for feasibility and utility.
- To assess the framework's ability to evaluate research impact aligned with health, social, and economic priorities.
- To compare institutional research impact capacity using combined domain outputs.
Main Methods:
- Piloting the framework with health and research organizations in Sydney, Australia.
- Assessing the Research Environment domain via an employee survey.
- Evaluating the Alignment and Influence of Research domain through case study reviews.
- Combining domain outputs using synthetic data for institutional comparison.
Main Results:
- The framework's assessment tools are feasible for evaluating an organization's capacity for impactful research.
- Case study reviews highlighted challenges in distinguishing potential versus realized research impact.
- Implementation can be facilitated by using routinely collected data and artificial intelligence tools.
Conclusions:
- The Research Impact Assessment Framework is a feasible tool for assessing research impact aligned with health priorities.
- Utilizing existing data sources and AI can streamline implementation and improve consistency.
- Further refinement is needed to effectively measure realized research impact.
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