Related Experiment Video
Updated: Jun 27, 2026
09:01
Treatment of Ankle Osteoarthritis with Total Ankle Replacement Through a Lateral Transfibular Approach
Published on: January 24, 2018
11.7K
Prioritizing orthopaedic evidence uncertainties : expert consensus based on a modified DELPHI study and a focus group
Annabelle R Iken1, Maaike G J Gademan1,2, Barbara A M Snoeker3
1Department of Orthopaedic Surgery, Leiden University Medical Center, Leiden, Netherlands.
Bone & Joint Open
|February 18, 2025
Summary
A new framework developed a multidisciplinary health research agenda (HRA) for orthopaedics by involving diverse stakeholders. This approach prioritizes research to reduce waste and improve patient care.
Area of Science:
- Orthopaedic Research
- Health Policy
- Evidence-Based Medicine
Background:
- Identifying research priorities is crucial for efficient resource allocation in orthopaedics.
- Existing methods may lack inclusivity, leading to research waste.
- A structured approach is needed to synthesize evidence uncertainties and stakeholder input.
Purpose of the Study:
- To develop a multidisciplinary health research agenda (HRA) for orthopaedics.
- To identify and prioritize evidence uncertainties through a consensus-building process.
- To reduce research waste by focusing on critical knowledge gaps.
Main Methods:
- A novel framework incorporating systematic uncertainty collection and a modified two-phased Delphi study.
- Involved diverse stakeholders including orthopaedic surgeons and patient associations.
- Utilized Likert scales for assessing knowledge gaps and a focus group for final prioritization.
Main Results:
- Collected 687 evidence uncertainties, confirming 160 knowledge gaps.
- 124 panel members prioritized 41 evidence uncertainties.
- A final HRA identified 12 key research priorities through consensus.
Conclusions:
- The developed framework facilitated an inclusive consensus on orthopaedic research priorities.
- This approach enhances transparency and acceptance of research agendas.
- Optimized resource allocation and reduced research waste are anticipated outcomes.
