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Record W2106658292 · doi:10.1186/1472-6939-14-5

Emerging issues in paediatric health research consent forms in Canada: working towards best practices

2013· article· en· W2106658292 on OpenAlexafffundabout
Edward S. Dove, Denise Avard, Lee Black, Bartha Maria Knoppers

Bibliographic record

VenueBMC Medical Ethics · 2013
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsMcGill UniversityMcGill Genome Centre
FundersCanadian Institutes of Health ResearchGenome Canada
KeywordsInformed consentBiobankConfidentialityPhilosophy of medicineResearch ethicsPsychologyThematic analysisQualitative researchPublic relationsPolitical scienceMedicineMedical educationLawSociologyAlternative medicineSocial science

Abstract

fetched live from OpenAlex

BACKGROUND: Obtaining a research participant's voluntary and informed consent is the bedrock of sound ethics practice. Greater inclusion of children in research has led to questions about how paediatric consent operates in practice to accord with current and emerging legal and socio-ethical issues, norms, and requirements. METHODS: Employing a qualitative thematic content analysis, we examined paediatric consent forms from major academic centres and public organisations across Canada dated from 2008-2011, which were purposively selected to reflect different types of research ethics boards, participants, and studies. The studies included biobanking, longitudinal studies, and gene-environment studies. Our purpose was to explore the following six emerging issues: (1) whether the scope of parental consent allows for a child's assent, dissent, or future consent; (2) whether the concepts of risk and benefit incorporate the child's psychological and social perspective; (3) whether a child's ability to withdraw is respected and to what extent withdrawal is permitted; (4) whether the return of research results includes individual results and/or incidental findings and the processes involved therein; (5) whether privacy and confidentiality concerns adequately address the child's perspective and whether standard data and/or sample identifiability nomenclature is used; and (6) whether retention of and access to paediatric biological samples and associated medical data are addressed. RESULTS: The review suggests gaps and variability in the consent forms with respect to addressing each of the six issues. Many forms did not discuss the possibility of returning research results, be they individual or general/aggregate results. Forms were also divided in terms of the scope of parental consent (specific versus broad), and none discussed a process for resolving disputes that can arise when either the parents or the child wishes to withdraw from the study. CONCLUSIONS: The analysis provides valuable insight and evidence into how consent forms address current ethical issues. While we do not thoroughly explore the contexts and reasons behind consent form gaps and variability, we do advocate and formulate the development of best practices for drafting paediatric health research consent forms. This can greatly ameliorate current gaps and facilitate harmonised and yet contextualised approaches to paediatric health research ethics.

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)0.089
metaresearch head score (Gemma)0.777
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.737
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0890.777
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.027
Insufficient payload (model declined to judge)0.0010.000

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 head0.826
GPT teacher head0.672
Teacher spread0.154 · 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; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations26
Published2013
Admission routes3
Has abstractyes

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