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Record W7116600726

Methods of engaging interest-holders in healthcare evidence syntheses: a scoping review

2025· article· en· W7116600726 on OpenAlexaboutno aff
Alex Todhunter-Brown, Jennifer Petkovic, Christine Chang, Ursula Griebler, Ailish Hannigan, Jennifer Hilgart, Basharat Hussain, Janet Jull, Christina Kien, Dominic Ledinger, Barbara Nussbaumer-Streit, Oyekola Oloyede, Eve Tomlinson, Shoba Dawson, Omar Dewidar, Sean Grant, Lyubov Lytvyn, Thomas W. Concannon, Leonila F. Dans, Denny John, Zoe Jordan, Mayo-Wilson Evan, Chris McCutcheon, Francesco Nonino, Danielle Pollock, Karine Toupin April, Pauline; id_orcid 0000-0002-5879-5526 Campbell, Joanne Khabsa, Olivia Magwood, Vivian Welch, Peter Tugwell

Bibliographic record

VenueWhite Rose Research Online (University of Leeds, The University of Sheffield, University of York) · 2025
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsnot available
Fundersnot available
KeywordsTerminologyHealth careEvidence-based practiceSystematic reviewBest evidenceBest practiceEvidence-based medicineMEDLINECoding (social sciences)
DOInot available

Abstract

fetched live from OpenAlex

Introduction Engaging interest-holders in health care evidence syntheses may make evidence syntheses more relevant, useful, and accessible. However, the best way(s) to engage interest-holders within the evidence synthesis process remain unknown. A previous scoping review collated 291 publications that reported interest-holder engagement in evidence syntheses, but conclusions were limited due to poor reporting. In the present scoping review, our aim was to identify and collate up-to-date publications focussed on interest-holder engagement in healthcare evidence syntheses, describe reported methods of engagement, and compare the results with those from the previous review. Methods We updated a scoping review, following JBI guidance, using a pre-published protocol that defined all key terminology in this field. We systematically searched five electronic databases (MEDLINE, CINAHL, EMBASE, PsycInfo, and SCOPUS). Searches were conducted from January 2016 to February 2024. Records were imported into Covidence and screened by pairs of independent reviewers, including any publications that reported engagement of interest-holders in evidence syntheses. We extracted and coded key data relating to the evidence synthesis topic and ACTIVE framework domains (who was engaged, when, and in what way). Two reviewers independently made a judgment of the comprehensiveness of the description of methods of engagement, using a “traffic-light” system, coding evidence syntheses with comprehensive descriptions as “green,” brief or partial descriptions as “amber,” and those with few details as “red”; disagreements were resolved through discussion. Additional detailed data relating to the engagement methods were extracted from “green” evidence syntheses. Any disagreements were resolved through discussion. Data were synthesized within tables, and narrative summaries were written to provide an overview of key methods of engaging interest-holders within the identified evidence syntheses. Results We identified 302 publications published since the previous review. Most (272/302, 90%) reported interest-holder engagement in a single evidence synthesis; of these, 74% (200/272) engaged patients and/or their carers, while 17% (46/272) engaged other interest-holders only, and the remainder (26/272, 9.6%) was unclear. Over three-quarters of the evidence syntheses were conducted either in the United Kingdom, United States, Canada, or Australia (215/272, 79%). Most often (113/272, 42%), interest-holders were engaged at both the initial (scope and question setting) and final (interpretation of results) review stages (referred to as a “top and tail” approach). Nineteen percent (51/272) were judged to provide a comprehensive (“green”) description of one or more method(s) or approach(es) to engagement in an evidence synthesis, enabling detailed data extraction and description. Most: engaged patients/public members and other interest-holder groups (30/51, 59%); used a “closed” recruitment strategy (30/51, 59%); engaged interest-holders during the stage of interpretation of findings (39/51, 76%); had at least one interest-holder as a co-author (27/51, 52%). Interest-holders generally attended meetings at which no formal methods of engagement were used. It was common to engage interest-holders in multiple activities throughout the review process. Discussion/Conclusion Our international team from the MuSE consortium has updated a previous scoping review, compiling the latest evidence on interest-holder engagement in evidence syntheses. We collated 302 publications and described the methods of interest-holder engagement reported in 51 evidence syntheses that we judged provided the most comprehensive information. Interest-holders have been involved at all stages of the process, using a wide range of engagement approaches, but with no clear patterns linked to the type or focus of evidence syntheses. Most commonly, patients/public and professional interest-holders were both engaged, but around one-quarter of our examples only engaged patients/public members, and a small number only engaged professional interest-holders. We identified some distinct engagement strategies and have used these to inform a potential decision tool to support the selection of engagement strategies. We propose recommendations in relation to the conduct and reporting of interest-holder engagement in evidence syntheses and future research to advance this field. Summary In health care, evidence syntheses bring together the results of research studies to inform clinical practice and policy. Engagement of interest-holders (including patients, public, carers, health professionals, policy makers, and others) in evidence syntheses is thought to make evidence syntheses more useful and usable, but the best ways of engaging interest-holders are not known. We used recognized methods for conducting high-quality research to bring together evidence syntheses that report interest-holders' engagement. We described all aspects of engagement. We found 302 relevant papers that had been published since 2016 (a previous study brought together papers published before 2016). Most papers were from the United Kingdom, the United States, Canada, or Australia. Ninety percent of the papers reported interest-holder engagement in a single evidence synthesis. In three-quarters of these patients and carers were engaged. Fifty-one papers gave a comprehensive description of interest-holder engagement, and we explored these in more detail. This helped us to identify various ways of engaging interest-holders. We brought these different ways together and made a diagram to help people make decisions about how they could plan interest-holder engagement in a future evidence synthesis. Using our findings, we also made some recommendations to help improve future interest-holder engagement in evidence syntheses.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.601
metaresearch head score (Gemma)0.731
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: Methods
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.399
Threshold uncertainty score0.492

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.6010.731
Meta-epidemiology (narrow)0.0060.006
Meta-epidemiology (broad)0.0120.015
Bibliometrics0.0800.064
Science and technology studies0.0080.015
Scholarly communication0.0240.030
Open science0.0110.025
Research integrity0.0120.008
Insufficient payload (model declined to judge)0.0210.007

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 head0.729
GPT teacher head0.652
Teacher spread0.077 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designSystematic review
DomainMethods
GenreReview

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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