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Record W4379259311 · doi:10.1136/bmjopen-2022-069695

Involving adolescents in the design, implementation, evaluation and dissemination of health research: an umbrella review protocol

2023· article· en· W4379259311 on OpenAlexaff
Azza Warraitch, Delali Bruce, Maria Lee, Paul Curran, Qusai Khraisha, Kristin Hadfield

Bibliographic record

VenueBMJ Open · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsCentre for Global Health Research
FundersTrinity College Dublin
KeywordsMedicineProtocol (science)Research designProtocol designHealth services researchPublic healthAlternative medicineMedical educationNursingPathologyComputer network

Abstract

fetched live from OpenAlex

INTRODUCTION: A lack of awareness on how to engage adolescents in research has been reported as one of the barriers to meaningful youth involvement in health research. Currently, available guidelines on youth involvement are limited in terms of the scope (e.g., focused on limited health research areas), content (e.g., include broad principles) and context (e.g., most guidelines are from high-income countries) for which the guidelines are applicable. To address this, we will develop a set of comprehensive guidelines based on consolidated evidence on youth involvement in health research. To inform these guidelines, we are first conducting an umbrella review to (1) summarise and synthesise findings from reviews on involving adolescents in health research, (2) consolidate the challenges experienced in youth involvement and the recommendations to mitigate these challenges, (3) identify best practices and (4) identify gaps and methodological weaknesses in the extant literature on involving adolescents in health research. METHODS AND ANALYSIS: We will include review articles exploring adolescents' involvement in studies aiming to improve their physical or mental health. Databases to be searched include Cochrane Database of Systematic Reviews, Medical Literature Analysis and Retrieval System Online (MEDLINE), Scopus, Embase, PsycINFO, PsycArticles, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Epistemonikos and Health Systems Evidence. A grey literature search will be conducted in Web of Science, ProQuest, Google Scholar and PROSPERO, supplemented by a handsearch of the reference lists of eligible reviews, relevant journals, websites of related organisations and input from experts. Data will be analysed using narrative synthesis. ETHICS AND DISSEMINATION: Ethical approval is not required as we are not collecting participant data as part of this review. The findings of this umbrella review will be disseminated through peer-reviewed publications, participatory workshops and academic conferences. PROSPERO REGISTRATION NUMBER: CRD42021287467.

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)0.261
metaresearch head score (Gemma)0.193
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 score0.739
Threshold uncertainty score0.911

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2610.193
Meta-epidemiology (narrow)0.0070.007
Meta-epidemiology (broad)0.0150.012
Bibliometrics0.0190.017
Science and technology studies0.0060.009
Scholarly communication0.0100.012
Open science0.0070.008
Research integrity0.0130.011
Insufficient payload (model declined to judge)0.0580.022

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 head0.969
GPT teacher head0.851
Teacher spread0.119 · 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

Citations19
Published2023
Admission routes1
Has abstractyes

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