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dc.date.accessioned2023-02-17T18:29:07Z
dc.date.available2023-02-17T18:29:07Z
dc.date.created2022-08-22T09:59:14Z
dc.date.issued2022
dc.identifier.citationMeneses Echavez, Jose Francisco Bidonde Torre, Maria Julia Yepes-Nuñez, Juan Jose Poklepović Peričić, Tina Puljak, Livia Bala, Malgorzata M. Storman, Dawid Swierz, Mateusz J. Zając, Joanna Montesinos-Guevara, Camila Zhang, Yuan Chavez Guapo, Nathaly Schünemann, Holger Flottorp, Signe Agnes Alonso-Coello, Pablo . Evidence to decision frameworks enabled structured and explicit development of healthcare recommendations. Journal of Clinical Epidemiology. 2022, 150, 51-62
dc.identifier.urihttp://hdl.handle.net/10852/100114
dc.description.abstractObjective The aim of this study is to identify and describe the processes suggested for the formulation of healthcare recommendations in healthcare guidelines available in guidance documents. Methods We searched international databases in May 2020 to retrieve guidance documents published by organizations dedicated to guideline development. Pairs of researchers independently selected and extracted data about the characteristics of the guidance document, including explicit or implicit recommendation-related criteria and processes considered, as well as the use of evidence to decision (EtD) frameworks. Results We included 68 guidance documents. Most organizations reported a system for grading the strength of recommendations (88%), half of them being the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) approach. Two out of three guidance documents (66%) proposed the use of a framework to guide the EtD process. The GRADE-EtD framework was the most often reported framework (19 organizations, 42%), whereas 20 organizations (44%) proposed their own multicriteria frameworks. Using any EtD framework was related with a more comprehensive set of recommendation-related criteria compared to no framework, especially for criteria like values, equity, and acceptability. Conclusion Although limited, the use of EtD frameworks was associated with the inclusion of relevant recommendation criteria. Among the EtD structured frameworks, the GRADE-EtD framework offers the most comprehensive perspective for evidence-informed decision-making processes.
dc.languageEN
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleEvidence to decision frameworks enabled structured and explicit development of healthcare recommendations
dc.title.alternativeENEngelskEnglishEvidence to decision frameworks enabled structured and explicit development of healthcare recommendations
dc.typeJournal article
dc.creator.authorMeneses Echavez, Jose Francisco
dc.creator.authorBidonde Torre, Maria Julia
dc.creator.authorYepes-Nuñez, Juan Jose
dc.creator.authorPoklepović Peričić, Tina
dc.creator.authorPuljak, Livia
dc.creator.authorBala, Malgorzata M.
dc.creator.authorStorman, Dawid
dc.creator.authorSwierz, Mateusz J.
dc.creator.authorZając, Joanna
dc.creator.authorMontesinos-Guevara, Camila
dc.creator.authorZhang, Yuan
dc.creator.authorChavez Guapo, Nathaly
dc.creator.authorSchünemann, Holger
dc.creator.authorFlottorp, Signe Agnes
dc.creator.authorAlonso-Coello, Pablo
cristin.unitcode185,52,15,0
cristin.unitnameAvdeling for allmennmedisin
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.cristin2044823
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal of Clinical Epidemiology&rft.volume=150&rft.spage=51&rft.date=2022
dc.identifier.jtitleJournal of Clinical Epidemiology
dc.identifier.volume150
dc.identifier.startpage51
dc.identifier.endpage62
dc.identifier.doihttps://doi.org/10.1016/j.jclinepi.2022.06.004
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn0895-4356
dc.type.versionPublishedVersion


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