4.6 Article

GRADE Evidence to Decision (EtD) frameworks for adoption, adaptation, and de novo development of trustworthy recommendations: GRADE-ADOLOPMENT

期刊

JOURNAL OF CLINICAL EPIDEMIOLOGY
卷 81, 期 -, 页码 101-110

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jclinepi.2016.09.009

关键词

Clinical practice guidelines; Adaptation; GRADE; Evidence to Decision framework; Evidence-based medicine; Recommendation

资金

  1. Ministry of Health, Saudi Arabia
  2. McMaster University, Hamilton, Canada

向作者/读者索取更多资源

Background: Guideline developers can: (1) adopt existing recommendations from others; (2) adapt existing recommendations to their own context; or (3) create recommendations de novo. Monetary and nonmonetary resources, credibility, maximization of uptake, as well as logical arguments should guide the choice of the approach and processes. Objectives: To describe a potentially efficient model for guideline production based on adoption, adaptation, and/or de novo development of recommendations utilizing the Grading of Recommendations Assessment, Development and Evaluation (GRADE) Evidence to Decision (EtD) frameworks. Study Design and Setting: We applied the model in a new national guideline program producing 22 practice guidelines. We searched for relevant evidence that informs the direction and strength of a recommendation. We then produced GRADE EtDs for guideline panels to develop recommendations. Results: We produced a total of 80 EtD frameworks in approximately 4 months and 146 EtDs in approximately 6 months in two waves. Use of the EtD frameworks allowed panel members understand judgments of others about the criteria that bear on guideline recommendations and then make their own judgments about those criteria in a systematic approach. Conclusion: The GRADE-ADOLOPMENT approach to guideline production combines adoption, adaptation, and, as needed, de novo development of recommendations. If developers of guidelines follow EtD criteria more widely and make their work publically available, this approach should prove even more useful. (C)2016 The Author(s). Published by Elsevier Inc.

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