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Development of core sets for deafblindness: an international expert survey on functioning and disability of individuals living with deafblindness using the International Classification of Functioning, Disability, and Health

2024· article· en· W4392947166 on OpenAlexafffund
Walter Wittich, Shirley Dumassais, Atul Jaiswal, Abinethaa Paramasivam, Shreya Budhiraja, Ricard LOPEZ, Sarah Granberg

Bibliographic record

VenueEuropean Journal of Physical and Rehabilitation Medicine · 2024
Typearticle
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsBruyèreSanté MontérégieUniversité de MontréalCentre intégré de santé et de services sociaux de la Montérégie-CentreCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalCentre de réadaptation Lethbridge-Layton-Mackay
FundersFonds de Recherche du Québec - Santé
KeywordsInternational Classification of Functioning, Disability and HealthMedicinePopulationActivities of daily livingGerontologyPsychologyApplied psychologyRehabilitationPsychiatryPhysical therapyEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: The development of International Classification of Functioning, Disability, and Health (ICF) Core Sets greatly enhances the global recognition of health conditions, thereby advancing research, education, and care provision. Aside from the work of researchers, and the viewpoint of persons with lived experience, the development of Core Sets for deafblindness needs to include the viewpoints of professionals with expertise unique to this condition. AIM: To represent the perspective of health and social service expert professionals in the development of ICF Core Sets for deafblindness. DESIGN: Cross-sectional cohort study. SETTING: Global online survey representing all six regions of the World Health Organization. POPULATION: One hundred and five professionals providing and health or social service to individuals living with deafblindness with a minimum of 2 years of work experience with this population. METHODS: An online survey was distributed through professional networks and social media for individuals working with persons living with deafblindness. Demographic items were summarized using descriptive statistics. Six open-ended questions explored the perceptions of body functions and structures that influence activities and participation, as well as environmental and personal factors that facilitate functioning. Data were linked to the ICF codes using established linking rules and procedures. RESULTS: The 2934 survey response units were linked using IFC categories. Of the 421 unique categories, 133 were used by 5% or more of respondents. Most categories within the Activities and Participation component were equally emphasized. The most frequent Environmental factors were support and relationships, services, systems, and policies, as well as and the physical environment (e.g., hearing aids or noise). Mental functions, including higher level cognitive functions, temperament and personality were frequently emphasized. CONCLUSIONS: Almost three quarters (73.3%) of the entire ICF classification categories were included in the expert survey results. This proportion emphasizes the importance of a multidimensional tool, such as the ICF, for assessing functioning and health for persons with deafblindness. CLINICAL REHABILITATION IMPACT: The representation of this professional perspective in Core Set development will improve standardized assessment and documentation, intervention planning, and facilitate interprofessional communication with the goal of improving person-centered care for persons living 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 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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.211
Threshold uncertainty score0.251

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.169
GPT teacher head0.429
Teacher spread0.260 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations8
Published2024
Admission routes2
Has abstractyes

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