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How can payback from health services research be assessed?
Journal of Health Services Research & Policy
|December 9, 1995
Summary
Demonstrating the benefits of health services research is crucial. A new model categorizes payback into knowledge, research, political, health sector, and economic benefits, aiding in assessing research impact.
Area of Science:
- Health Services Research
- Health Economics
- Research Management
Background:
- Growing global emphasis on research-led healthcare necessitates demonstrating research value.
- Assessing the return on investment for health research and development (R&D) is complex and underexplored.
- Existing models of research utilization and payback assessments provide a foundation for new frameworks.
Purpose of the Study:
- To develop and present a conceptual model for understanding and assessing payback from health services research.
- To identify and categorize the diverse types of benefits (payback) derived from health research.
- To evaluate the feasibility of the proposed model and categorization through case studies.
Main Methods:
- Development of a conceptual model integrating input-output perspectives and research-environment interfaces.
- Categorization of payback into five main types: knowledge, research, political/administrative, health sector, and broader economic benefits.
- Application of the model and categorization framework to a series of case studies.
Main Results:
- The conceptual model outlines research processes from inputs to final outcomes (impacts).
- Five distinct categories of research payback were identified and defined.
- Case studies demonstrated the feasibility of applying the model for assessing research benefits and impact.
Conclusions:
- The developed model provides a structured approach to understanding and measuring the multifaceted payback of health services research.
- The categorization framework aids in identifying and quantifying diverse research benefits, from knowledge generation to economic impact.
- Further work is needed to refine the model and its application in diverse research contexts.
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