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Record W4283169454 · doi:10.1186/s40900-022-00361-x

Protocol for a scoping review to map patient engagement in scoping reviews

2022· review· en· W4283169454 on OpenAlexaff
Nebojša Oravec, Caroline Monnin, April Gregora, Brian Bjorklund, Mudra G. Dave, Annette Schultz, Anna M. Chudyk

Bibliographic record

VenueResearch Involvement and Engagement · 2022
Typereview
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsSt. Boniface HospitalUniversity of Manitoba
Fundersnot available
KeywordsInclusion (mineral)PopularityStakeholderSystematic reviewStakeholder engagementProtocol (science)Grey literaturePsychologyHealth careMedical educationMedicineMEDLINEKnowledge managementPublic relationsAlternative medicinePolitical scienceComputer scienceSocial psychology

Abstract

fetched live from OpenAlex

BACKGROUND: Scoping reviews of health research are increasing in popularity. However, only a minority of scoping reviews in this sector engage patients and caregivers as co-producers of the research. Despite developments in scoping review methodology, which insist that stakeholder consultation is essential, no guiding methods exist to instruct the conduct of this stage. Thus, it is necessary to understand how patients and caregivers have been engaged as part of scoping reviews, toward a unifying methodology. METHODS: We have developed a protocol for a scoping review of methods used to engage patients and caregivers in scoping reviews of health research. The search strategy will comprise two phases: the first will involve a secondary analysis of retrieved articles from a prior scoping review, and the second will identify articles that cite Levac et al.'s update to the original scoping review framework by Arksey and O'Malley. Titles and full texts of retrieved articles will be screened in duplicate. Inclusion will be limited to articles related to heath research that follow the six-stage scoping review framework by Arksey and O'Malley and that report patient engagement activities during at least one stage. The method of analysis of charted variables will be decided once data have been collected. Two patients will be engaged as collaborators throughout this review. We will also consult with patients, caregivers, and researchers upon completion of preliminary analyses. DISCUSSION: We anticipate that our scoping review will provide guidance for researchers seeking to involve health care stakeholders as co-producers of scoping reviews.

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)0.053
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.484
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0530.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0010.001
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.004
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.897
GPT teacher head0.679
Teacher spread0.217 · 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; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
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".

Quick stats

Citations10
Published2022
Admission routes1
Has abstractyes

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