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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 OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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)0.251
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.765
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.2510.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.969
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