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Authordc.contributor.authorSchünemann, Holger 
Authordc.contributor.authorWiercioch, Wojtek 
Authordc.contributor.authorBrozek, Jan 
Authordc.contributor.authorEtxeandia Ikobaltzeta, Itziar 
Authordc.contributor.authorMustafa, Reem 
Authordc.contributor.authorManja, Veena 
Authordc.contributor.authorBrignardello Petersen, Romina 
Authordc.contributor.authorNeumann, Ignacio 
Authordc.contributor.authorFalavigna, Maicon 
Authordc.contributor.authorAlhazzani, Waleed 
Authordc.contributor.authorSantesso, Nancy 
Authordc.contributor.authorZhang, Yuan 
Authordc.contributor.authorMeerpohl, Jörg 
Authordc.contributor.authorMorgan, Rebecc 
Authordc.contributor.authorRochwerg, Bram 
Authordc.contributor.authorDarzi, Andrea 
Authordc.contributor.authorXimenas Rojas, María 
Authordc.contributor.authorCarrasco Labra, Alonso 
Authordc.contributor.authorAlRayees, Zulfa 
Authordc.contributor.authorRiva, John 
Authordc.contributor.authorBollig, Claudia 
Authordc.contributor.authorMoore, Ainsley 
Authordc.contributor.authorYepes-Nuñez, Juan 
Authordc.contributor.authorCuello, Carlos 
Authordc.contributor.authorWaziry, Reem 
Authordc.contributor.authorAkl, Elie A 
Admission datedc.date.accessioned2018-12-20T15:25:11Z
Available datedc.date.available2018-12-20T15:25:11Z
Publication datedc.date.issued2017
Cita de ítemdc.identifier.citationJournal of Clinical Epidemiology, Volumen 81, 2017, Pages 101-110.
Identifierdc.identifier.issn18785921
Identifierdc.identifier.issn08954356
Identifierdc.identifier.other10.1016/j.jclinepi.2016.09.009
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/159182
Abstractdc.description.abstractBackground 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.
Lenguagedc.language.isoen
Publisherdc.publisherElsevier USA
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
Sourcedc.sourceJournal of Clinical Epidemiology
Keywordsdc.subjectAdaptation
Keywordsdc.subjectClinical practice guidelines
Keywordsdc.subjectEvidence to Decision framework
Keywordsdc.subjectEvidence-based medicine
Keywordsdc.subjectGRADE
Keywordsdc.subjectRecommendation
Títulodc.titleGRADE Evidence to Decision (EtD) frameworks for adoption, adaptation, and de novo development of trustworthy recommendations: GRADE-ADOLOPMENT
Document typedc.typeArtículo de revista
Catalogueruchile.catalogadorjmm
Indexationuchile.indexArtículo de publicación SCOPUS
uchile.cosechauchile.cosechaSI


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Attribution-NonCommercial-NoDerivs 3.0 Chile
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile