TY - JOUR
T1 - GRADE Evidence to Decision (EtD) frameworks for adoption, adaptation, and de novo development of trustworthy recommendations
T2 - GRADE-ADOLOPMENT
AU - Schünemann, Holger J.
AU - Wiercioch, Wojtek
AU - Brozek, Jan
AU - Etxeandia-Ikobaltzeta, Itziar
AU - Mustafa, Reem A.
AU - Manja, Veena
AU - Brignardello-Petersen, Romina
AU - Neumann, Ignacio
AU - Falavigna, Maicon
AU - Alhazzani, Waleed
AU - Santesso, Nancy
AU - Zhang, Yuan
AU - Meerpohl, Jörg J.
AU - Morgan, Rebecca L.
AU - Rochwerg, Bram
AU - Darzi, Andrea
AU - Rojas, Maria Ximenas
AU - Carrasco-Labra, Alonso
AU - Adi, Yaser
AU - AlRayees, Zulfa
AU - Riva, John
AU - Bollig, Claudia
AU - Moore, Ainsley
AU - Yepes-Nuñez, Juan José
AU - Cuello, Carlos
AU - Waziry, Reem
AU - Akl, Elie A.
N1 - Publisher Copyright:
© 2016 The Author(s)
PY - 2017/1/1
Y1 - 2017/1/1
N2 - 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.
AB - 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.
KW - Adaptation
KW - Clinical practice guidelines
KW - Evidence to Decision framework
KW - Evidence-based medicine
KW - GRADE
KW - Recommendation
UR - https://www.scopus.com/pages/publications/85009227704
U2 - 10.1016/j.jclinepi.2016.09.009
DO - 10.1016/j.jclinepi.2016.09.009
M3 - Article
C2 - 27713072
AN - SCOPUS:85009227704
SN - 0895-4356
VL - 81
SP - 101
EP - 110
JO - Journal of Clinical Epidemiology
JF - Journal of Clinical Epidemiology
ER -