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Record W4409225437 · doi:10.1136/bmjopen-2025-100155

Development of the International Classification of Functioning, Disability and Health Core Sets for children and youth with deafblindness: protocol for a multistudy collaboration across regions of WHO

2025· article· en· W4409225437 on OpenAlexafffund
Shirley Dumassais, Walter Wittich

Bibliographic record

VenueBMJ Open · 2025
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsUniversité de MontréalUniversité du Québec
FundersUniversité de MontréalCentre for Interdisciplinary Research in Rehabilitation
KeywordsInternational Classification of Functioning, Disability and HealthMedicineSet (abstract data type)Medical educationPopulationQualitative researchProtocol (science)Applied psychologyPsychologyRehabilitationAlternative medicinePhysical therapyEnvironmental health

Abstract

fetched live from OpenAlex

INTRODUCTION: While the International Classification of Functioning, Disability and Health (ICF) Core Sets have been developed for deafblindness across the lifespan, there are currently no Core Sets specifically designed for children and youth with deafblindness. Children with deafblindness often experience unique challenges not captured in existing Core Sets, requiring a specialised framework to assess their functioning, activity limitations, participation restrictions and environmental factors. This project aims to develop ICF Core Sets specifically for children and youth with deafblindness, capturing their daily functioning and providing a comprehensive understanding of their needs. METHODS AND ANALYSIS: This multimethod research project will follow the standardised ICF Core Set development methodology as outlined by the ICF Research Branch. The project will consist of several studies, beginning with a systematic literature review to synthesise existing knowledge on the functioning and needs of children and youth with deafblindness. To capture lived experiences, qualitative interviews will be conducted with parents, caregivers and adolescents with deafblindness, providing in-depth insights into their daily challenges and strengths. An international survey will be distributed to professionals in healthcare, education and policy to gather expert perspectives on key factors influencing the lives of this population. Additionally, an empirical multicentre study will be carried out to explore the challenges faced by the population in clinical settings. Together, these methods will inform the development of a tailored ICF Core Set for children and youth with deafblindness, aiming to identify and classify the most relevant factors impacting their functioning, activity limitations, participation restrictions and environmental influences. ETHICS AND DISSEMINATION: Ethical approval will be obtained for all stages of the project, in the relevant locations, ensuring the protection of participant rights and confidentiality. The findings from this project will be disseminated through peer-reviewed scientific publications, presentations at local, national and international conferences, and stakeholder reports aimed at healthcare providers, educators and policymakers. These results will inform future practices, interventions and policies to better support children and youth with deafblindness.

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)0.127
metaresearch head score (Gemma)0.096
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.127
Threshold uncertainty score0.670

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1270.096
Meta-epidemiology (narrow)0.0030.004
Meta-epidemiology (broad)0.0060.006
Bibliometrics0.0060.005
Science and technology studies0.0040.003
Scholarly communication0.0050.004
Open science0.0040.006
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0510.009

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 head0.161
GPT teacher head0.481
Teacher spread0.319 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
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

Citations0
Published2025
Admission routes2
Has abstractyes

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