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GRADE guidance 39: using GRADE-ADOLOPMENT to adopt, adapt or create contextualized recommendations from source
Miloslav Klugar1, Tamara Lotfi2, Andrea J Darzi3
1Cochrane Czech Republic, Czech CEBHC: JBI Centre of Excellence, Czech GRADE Network, Institute of Health Information and Statistics of the Czech Republic, Prague, Czech Republic; Center of Evidence-based Education and Arts Therapies: A JBI Affiliated Group, Faculty of Education, Palacký University Olomouc, Prague, Czech Republic.
This updated guidance refines the Grading of Recommendations, Assessment, Development and Evaluations (GRADE)-ADOLOPMENT methodology for developing recommendations. It provides practical steps and examples for efficient contextualization, supporting guideline adaptation with limited resources.
Area of Science:
- Health policy and guideline development
- Evidence synthesis and appraisal
- Clinical decision-making
Background:
- The Grading of Recommendations, Assessment, Development and Evaluations (GRADE)-ADOLOPMENT methodology is established for adapting or creating guidelines.
- Previous applications highlighted the need for refined operational guidance.
Purpose of the Study:
- To update and operationalize the GRADE-ADOLOPMENT methodology for applying recommendations.
- To provide clear pathways for guideline adaptation and development.
Main Methods:
- Iterative drafting of guidance through group discussions and communications.
- Review of guideline handbooks and scoping review of adolopment projects.
- Refinement of the approach based on feedback and case study examples.
Main Results:
- The updated guidance details alternative pathways for initiating adolopment efforts.
- It elaborates on essential steps, including leveraging or developing evidence-to-decision (EtD) criteria.
- Examples from case studies illustrate the application of contextual evidence for EtD judgments.
Conclusions:
- The revised GRADE-ADOLOPMENT guidance enhances the practical application of the methodology.
- It supports users in contextualizing recommendations efficiently for local settings or resource constraints.
- Over six years of experience inform this updated operational framework.
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