Introduction: 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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915269PMC
http://dx.doi.org/10.1136/bmjopen-2021-053246DOI Listing

Publication Analysis

Top Keywords

etd frameworks
12
decision thresholds
8
health benefits
8
benefits harms
8
grading recommendations
8
recommendations assessment
8
assessment development
8
development evaluation
8
evaluation grade
8
grade evidence
8

Similar Publications

Development of a health equity tool in resuscitation sciences and application to current research in extracorporeal cardiopulmonary resuscitation for cardiac arrest.

Resuscitation

January 2025

Department of Emergency Services, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; Division of Emergency Medicine, Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.

Background: Extracorporeal cardiopulmonary resuscitation (ECPR) is increasingly used for adults with cardiac arrest (CA) refractory to Advanced Cardiovascular Life Support (ACLS). Concerns exist that adding ECPR could worsen health inequities, defined as differences in health outcomes that are unfair or unjust. Current guidelines do not explicitly address this issue.

View Article and Find Full Text PDF

Development of a framework to structure decision-making in environmental and occupational health: A systematic review and Delphi study.

Environ Int

January 2025

Cochrane Canada and McMaster GRADE Centres & Department of Health Research Methods, Evidence and Impact, McMaster University, Health Sciences Centre, Room 2C14, 1280 Main Street West, Hamilton, ON L8S 4K1, Canada; School of Medicine, Case Western Reserve University, 10900 Euclid Ave, Cleveland, OH 44106, USA. Electronic address:

Background: Environmental and occupational health (EOH) assessments increasingly utilize systematic review methods and structured frameworks for evaluating evidence about the human health effects of exposures. However, there is no prevailing approach for how to integrate this evidence into decisions or recommendations. Grading of Recommendations Assessment, Development and Evaluation (GRADE) evidence-to-decision (EtD) frameworks provide a structure to support standardized and transparent consideration of relevant criteria to inform health decisions.

View Article and Find Full Text PDF
Article Synopsis
  • Oral submucous fibrosis (OSMF) is a serious condition associated with areca nut chewing, linked to dental health and possibly hearing impairment, prompting a need for investigation into its effects on hearing.
  • A systematic review of 1137 articles identified 18 studies showing a significant correlation between OSMF severity and hearing loss, particularly conductive hearing loss in advanced cases.
  • The review highlighted that Eustachian tube dysfunction (ETD) often contributes to hearing issues in OSMF patients, emphasizing the importance of multidisciplinary management and early audiological screening for better patient outcomes.
View Article and Find Full Text PDF

Empirical estimation of disutilities and decision thresholds for composite endpoints.

J Clin Epidemiol

December 2024

Clinical Epidemiology and Research Center (CERC), Humanitas University & IRCCS Humanitas Research Hospital, Milan, Italy; Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin, Germany. Electronic address:

Objectives: The evaluation of health benefits and harms of an intervention with GRADE Evidence to Decision (EtD) frameworks includes judgments if the effects are "trivial," "small," "moderate," or "large." Such judgments ideally require the a priori establishment of decision thresholds (DTs), whose empirical derivation for single outcomes has been previously described. In this article, we provide a methodological approach to estimate DTs for composite endpoints based on disutilities.

View Article and Find Full Text PDF

Introduction: GRADE and other Evidence to Decision (EtD) frameworks are widely used by guideline development groups (GDG) and other decision-makers. When GDGs judge the magnitude of desirable and undesirable health outcomes on EtDs, they typically categorize them as trivial, small, moderate or large. However, generic judgment or decision thresholds (DTs) that could guide the user about such estimates of effect size or serve as references for interpretation of findings are not yet available.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!