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Record W4415501838 · doi:10.1177/02646196251382503

Assessing cognition, mental health and daily functioning in deafblindness: An empirical multicentre study for ICF Core Set development

2025· article· en· W4415501838 on OpenAlexaff
Hamidreza Aminparvin, Atul Jaiswal, Tosin Omonye Ogedengbe, Shirley Dumassais, Ricard LOPEZ, Meredith Prain, Walter Wittich

Bibliographic record

VenueBritish Journal of Visual Impairment · 2025
Typearticle
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsUniversité de MontréalCentre for Interdisciplinary Research in Rehabilitation
Fundersnot available
KeywordsMental healthActivities of daily livingIndependent livingScale (ratio)Test (biology)Minimum Data SetSet (abstract data type)Independence (probability theory)Cognition

Abstract

fetched live from OpenAlex

During the development of the Core Sets for deafblindness, using the World Health Organization’s (WHOs) International Classification of Functioning, Disability, and Health (ICF), the last preparatory study consists of a multisite cross-sectional clinical assessment. Its purpose is to use standardized tests of functioning that have been identified during a systematic literature review, and that have been most frequently used with deafblind individuals. These measures need to be available at no cost, standardized and validated, and not interfere with protected professional acts. Here, we explore the administration of the Mini-Mental State Exam (MMSE), the Lawton-Brody Instrumental Activities of Daily Living Scale, and the Center for Epidemiological Studies Depression Scale for this purpose. Participants were 29 deafblind adults (14 men, 15 women), ranging in age from 20 to 74 ( M = 47.29, SD = 16.31), with a wide range of severity and diagnostic criteria, and from 15 countries distributed across the six WHO regions. They were invited to a structured online clinical assessment based on the ICF Check List of assessment categories, in addition to the administration of the three identified standardized measures. Participants demonstrated varying levels of independence in daily tasks, with the highest independence in managing laundry and medications and greater dependency in financial management and transportation. Nearly half (48%) showed signs of clinical depression. MMSE completion rates were low ( n = 6), with significant non-responses in visually demanding items; among those who completed it, 67% scored within the normal range. A positive correlation between cognitive status and functional independence was found. These findings underscore the heterogeneity of deafblind individuals. None of these most frequently used measures were designed to be administered to individuals living with combined vision and hearing difficulties, underscoring the importance of tailored assessment tools and interventions to support this population.

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)0.019
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.019
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.034
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0010.001
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 head0.114
GPT teacher head0.482
Teacher spread0.368 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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