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The GIN-McMaster Guideline Development Checklist extension for engagement

2025· article· en· W4407640883 on OpenAlexafffund
Jennifer Petkovic, Olivia Magwood, Thomas W. Concannon, Elie A. Akl, Lyubov Lytvyn, Vivian Welch, Marc T. Avey, Soumyadeep Bhaumik, Angus Gunn, Ana Marušić, Lawrence Mbuagbaw, Zachary Munn, Marisha E. Palm, Danielle Pollock, Michael Saginur, Imad Bou Akl, Thurayya Arayssi, Asma Ben Brahem, Tammy Clifford, Laura Dormer, Chinyere E. Ekanem, Regina Greer-Smith, Chris Huzzey, Behrang Kianzad, Christine Laine, Eddy Lang, Kevin Pottie, Lorenzo Moja, Richard Morley, Nevilene Slingers, Ligia Texeira, Pauline Campbell, Stephanie Chang, Leonila F. Dans, Jeanne‐Marie Guise, Srinivasa Vittal Katikireddi, Anneliese Synnot, Janice Tufte, Holger J. Schünemann, Peter Tugwell

Bibliographic record

VenueJournal of Clinical Epidemiology · 2025
Typearticle
Languageen
FieldMedicine
TopicClinical practice guidelines implementation
Canadian institutionsUniversity of OttawaSt. Joseph’s Healthcare HamiltonDalhousie UniversityCochraneOttawa Public HealthBruyèreCanadian Council on Animal CareAlberta Health ServicesMontfort HospitalMcMaster UniversityUniversity of CalgaryImpact
FundersCanadian Institutes of Health Research
KeywordsChecklistGuidelineMedicineExtension (predicate logic)PsychologyComputer sciencePathology

Abstract

fetched live from OpenAlex

OBJECTIVES: Better engagement of diverse groups of interest-holders in the development of health guidelines has been proposed to improve their usefulness, implementability, and acceptability. Guidelines shape clinical or public health practice decision-making. Trustworthy guidelines are systematically developed documents that include actionable statements based on evidence and a formal, structured and transparent decision process. This paper describes the Guidelines International Network (GIN)-McMaster Guideline Development Checklist (GDC) Extension for Engagement to assist developers with engaging multiple interest-holders throughout all topics of guideline development. STUDY DESIGN AND SETTING: To produce this checklist extension, we conducted a 3-phase mixed methods study. First, we identified 10 groups of interest-holders to be engaged in health guideline development: patients, the public, providers, program managers, principal investigators, payers/purchasers of health services, payers/funders of health research, policymakers, peer-reviewed journal editors, and product makers identified in previous work and recruited coleads to represent these groups (n = 26 total). RESULTS: We conducted a series of reviews to identify existing methods and barriers/facilitators for engagement, approaches to managing conflicts of interest, and describe the impacts of engagement on the guideline development process. The results of these reviews informed the development of an online survey for which we received 195 responses. We clarified these results through 43 key informant interviews with interest-holders. The final GDC extension checklist was determined based on consensus methods with our coleads. CONCLUSION: This paper presents the GIN-McMaster GDC Extension for Engagement. This checklist provides interest-holder-informed recommendations for providing advice/feedback or participating in decision-making in guideline development. PLAIN LANGUAGE SUMMARY: Health-care guidelines are formal recommendations for diagnosing and managing medical conditions or public health concerns. The steps involved in developing guidelines include from planning the process, defining the focus of the guideline and the questions it should answer, and summarizing the evidence. The Guidelines International Network-McMaster Guideline Development checklist includes 146 steps of guideline development grouped into 18 topics. Our work extends this checklist to provide guidance on how to engage with people from different groups of 'interest-holders' throughout guideline development. These interest-holders include (1) patients, (2) members of the public, (3) health-care providers, (4) people who manage and operate health programs, (5) researchers, (6) people who pay for or purchase health services, (7) policymakers, (8) people who pay for health research, (9) people who publish research and guidelines, and (10) people who develop and sell health-care devices or products. We engaged with people from each of the groups to develop this guidance. Twenty-six people coled our interest-holder groups. We conducted a series or systematic reviews on (a) how to engage people in guidelines, (b) identifying the barriers and facilitators to engagement, (c) assessing the impacts of engagement, and (d) describing how to manage conflicts of interest related to engagement. These reviews were used to create a first draft of guidance. Then we conducted an online survey and gathered the opinions from 195 people from each of our interest-holder groups. We interviewed 43 interest-holders for additional information to revise the guidance and then finalized the guidance with our interest-holder coleads. This checklist provides guidance for engaging interest-holder groups throughout guideline development.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.111
metaresearch head score (Gemma)0.463
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.584
Threshold uncertainty score0.915

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1110.463
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.615
GPT teacher head0.643
Teacher spread0.028 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations16
Published2025
Admission routes2
Has abstractyes

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