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Record W4392766190 · doi:10.1136/bmjopen-2023-078479

Engaging people with lived experiences on community advisory boards in community-based participatory research: a scoping review protocol

2024· review· en· W4392766190 on OpenAlexafffund
Georgia Nelson, Hasan Kettaneh, Bruce Knox, Eva Purkey, Sophy Chan-Nguyen, Meghan Jenkins, Imaan Bayoumi

Bibliographic record

VenueBMJ Open · 2024
Typereview
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsQueen's University
FundersSocial Sciences and Humanities Research Council of CanadaQueen's University
KeywordsCommunity-based participatory researchParticipatory action researchThematic analysisGrey literatureMedicineProtocol (science)MEDLINEMedical educationQualitative researchSociologyAlternative medicineSocial sciencePolitical science

Abstract

fetched live from OpenAlex

INTRODUCTION: Community-based participatory research (CBPR) is a collaborative research approach that equally engages researchers and community stakeholders throughout all steps of the research process to facilitate social change and increase research relevance. Community advisory boards (CABs) are a CBPR tool in which individuals with lived experience and community organisations are integrated into the research process and ensure the work aligns with community priorities. We seek to (1) explore the best practices for the recruitment and engagement of people with lived experiences on CABs and (2) identify the scope of literature on minimising power dynamics between organisations and community members with lived experience who work on CABs together. METHODS AND ANALYSIS: , and will be reported using a PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) diagram. Detailed and robust search strategies have been developed for Embase, Medline and PsychINFO. Grey literature references and reference lists of included articles published between 1 January 1990 and 30 March 2023 will be considered. Two reviewers will independently screen references in two successive stages of title/abstract and full-text screening. Conflicts will be decided by consensus or a third reviewer. Thematic analysis will be applied in three phases: open coding, axial coding and abstraction. Extracted data will be recorded and presented in a tabular format and/or graphical summaries, with a descriptive overview discussing how the research findings relate to the research questions. At this time, a preliminary search of peer-reviewed and grey literature has been conducted. Search results for peer-reviewed literature have been uploaded to Covidence for review and appraisal for relevance. ETHICS AND DISSEMINATION: Formal ethics approval is not required for this review. Review findings will inform ongoing and future CBPR community advisory board dynamics. REGISTRATION: The protocol has been registered prospectively on the Open Science Framework (https://doi.org/10.17605/OSF.IO/QF5D3).

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 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)0.208
metaresearch head score (Gemma)0.149
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.792
Threshold uncertainty score0.977

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2080.149
Meta-epidemiology (narrow)0.0050.006
Meta-epidemiology (broad)0.0090.009
Bibliometrics0.0210.017
Science and technology studies0.0070.007
Scholarly communication0.0080.009
Open science0.0070.008
Research integrity0.0120.008
Insufficient payload (model declined to judge)0.0590.019

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 head0.922
GPT teacher head0.717
Teacher spread0.205 · 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 designNot applicable
DomainMethods
GenreProtocol

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

Citations14
Published2024
Admission routes2
Has abstractyes

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