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A protocol for the development of reporting guidelines for IDEAL stage studies
Riaz A Agha1, Allison Hirst2, Asha Khachane3
1Balliol College, University of Oxford and Department of Plastic Surgery, Queen Victoria Hospital, East Grinstead, West Sussex, UK.
Researchers will develop new reporting guidelines for the IDEAL Framework to improve the evaluation of surgical innovations. This aims to translate theoretical recommendations into practical, standardized reporting for medical interventions.
Area of Science:
- Medical Innovation Evaluation
- Surgical Procedure Reporting
Background:
- Robust evaluation of new surgical procedures, devices, and complex interventions is crucial for safety, efficacy, and effectiveness.
- The IDEAL Framework provides a pathway for this evaluation and guidance on study reporting.
- Researchers need practical assistance to implement the IDEAL Framework's theoretical recommendations.
Purpose of the Study:
- To develop a set of practical reporting guidelines for each stage of the IDEAL Framework.
- To address the need for assistance in translating IDEAL theory into practice.
- To ensure comprehensive and standardized reporting of studies on medical interventions.
Main Methods:
- Utilize Delphi consensus methodology to develop reporting guidelines.
- Search for existing reporting guidelines and adapt them using IDEAL Collaboration principles.
- Employ a nine-point Likert scale for rating checklist item importance, similar to the GRADE group's approach.
- Conduct sequential rounds of questionnaires and a final consensus meeting for refinement.
Main Results:
- A consensus-driven set of reporting guidelines for IDEAL stages will be produced.
- The guidelines will facilitate standardized reporting of studies on medical interventions.
- The process will refine and condense recommendations for practical application.
Conclusions:
- The developed reporting guidelines will enhance the practical application of the IDEAL Framework.
- Standardized reporting will improve the evaluation of new surgical procedures and complex interventions.
- This initiative supports robust evidence generation for medical innovations.
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