Defining decision thresholds for judgments on health benefits and harms using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) Evidence to Decision (EtD) frameworks: A protocol for a randomised methodological study (GRADE-THRESHOLD)

dc.contributor.authorMorgano, Gian Paolo
dc.contributor.authorMbuagbaw, Lawrence C.E.
dc.contributor.authorSantesso, Nancy A.
dc.contributor.authorXie, Feng
dc.contributor.authorBrożek, Jan L.
dc.contributor.authorSiebert, Uwe
dc.contributor.authorBognanni, Antonio
dc.contributor.authorWiercioch, Wojtek
dc.contributor.authorPiggott, Thomas
dc.contributor.authorDarzi, Andrea J.
dc.contributor.authorAkl, Elie A.
dc.contributor.authorVerstijnen, Ilse M.
dc.contributor.authorParmelli, Elena
dc.contributor.authorSaz-Parkinson, Z.
dc.contributor.authorAlonso-Coello, Pablo
dc.contributor.authorSchunëmann, Holger J.
dc.contributor.departmentInternal Medicine
dc.contributor.facultyFaculty of Medicine (FM)
dc.contributor.institutionAmerican University of Beirut
dc.date.accessioned2025-01-24T11:44:20Z
dc.date.available2025-01-24T11:44:20Z
dc.date.issued2022
dc.description.abstractIntroduction The Grading of Recommendations Assessment, Development and Evaluation (GRADE) and similar Evidence to Decision (EtD) frameworks require its users to judge how substantial the effects of interventions are on desirable and undesirable people-important health outcomes. However, decision thresholds (DTs) that could help understand the magnitude of intervention effects and serve as reference for interpretation of findings are not yet available. The objective of this study is an approach to derive and use DTs for EtD judgments about the magnitude of health benefits and harms. We hypothesise that approximate DTs could have the ability to discriminate between the existing four categories of EtD judgments (Trivial, Small, Moderate, Large), support panels of decision-makers in their work, and promote consistency and transparency in judgments. Methods and analysis We will conduct a methodological randomised controlled trial to collect the data that allow deriving the DTs. We will invite clinicians, epidemiologists, decision scientists, health research methodologists, experts in Health Technology Assessment (HTA), members of guideline development groups and the public to participate in the trial. Then, we will investigate the validity of our DTs by measuring the agreement between judgments that were made in the past by guideline panels and the judgments that our DTs approach would suggest if applied on the same guideline data. Ethics and dissemination The Hamilton Integrated Research Ethics Board reviewed this study as a quality improvement study and determined that it requires no further consent. Survey participants will be required to read a consent statement in order to participate in this study at the beginning of the trial. This statement reads: You are being invited to participate in a research project which aims to identify indicative DTs that could assist users of the GRADE EtD frameworks in making judgments. Your input will be used in determining these indicative thresholds. By completing this survey, you provide consent that the anonymised data collected will be used for the research study and to be summarised in aggregate in publication and electronic tools. PROTOCOL registration number NCT05237635. © Authors 2022
dc.identifier.doihttps://doi.org/10.1136/bmjopen-2021-053246
dc.identifier.eid2-s2.0-85126400454
dc.identifier.pmid35273045
dc.identifier.urihttp://hdl.handle.net/10938/30434
dc.language.isoen
dc.publisherBMJ Publishing Group
dc.relation.ispartofBMJ Open
dc.sourceScopus
dc.subjectEpidemiology
dc.subjectHealth policy
dc.subjectProtocols & guidelines
dc.subjectPublic health
dc.subjectQuality in healthcare
dc.subjectStatistics & research methods
dc.subjectChoice behavior
dc.subjectEvidence-based medicine
dc.subjectHumans
dc.subjectJudgment
dc.subjectRandomized controlled trials as topic
dc.subjectResearch report
dc.subjectAdult
dc.subjectAnonymised data
dc.subjectArticle
dc.subjectBiomedical technology assessment
dc.subjectControlled study
dc.subjectDecision making
dc.subjectEpidemiologist
dc.subjectFemale
dc.subjectHealth care policy
dc.subjectHuman
dc.subjectHuman experiment
dc.subjectMale
dc.subjectMedical research
dc.subjectPractice guideline
dc.subjectQuality improvement study
dc.subjectRandomized controlled trial
dc.subjectResearch ethics
dc.subjectValidity
dc.subjectEvidence based medicine
dc.subjectProcedures
dc.subjectRandomized controlled trial (topic)
dc.subjectResearch
dc.titleDefining decision thresholds for judgments on health benefits and harms using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) Evidence to Decision (EtD) frameworks: A protocol for a randomised methodological study (GRADE-THRESHOLD)
dc.typeArticle

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