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Record W4406607750 · doi:10.1590/2317-1782/e20240125en

Montreal Cognitive Assessment Hearing Impairment (MoCA-H): cross-cultural adaptation to Brazilian Portuguese

2025· article· en· W4406607750 on OpenAlexaboutno aff
Rochele Martins Machado, Karina Carlesso Pagliarin, Fernanda Soares Aurélio Patatt

Bibliographic record

VenueCoDAS · 2025
Typearticle
Languageen
FieldNeuroscience
TopicHearing Loss and Rehabilitation
Canadian institutionsnot available
FundersUniversidade Federal de Santa Maria
KeywordsMontreal Cognitive AssessmentPsychologyRespondentCognitionComprehensionCognitive psychologyAudiologyLinguisticsMedicineCognitive impairment

Abstract

fetched live from OpenAlex

PURPOSE: This study aimed to adapt the Montreal Cognitive Assessment Hearing Impaired (MoCA-H) into Brazilian Portuguese (BP). METHODS: This was a descriptive, cross-sectional, quantitative, and qualitative study involving participants selected by convenience. The instrument was adapted from its original version, in a six-stage process consisting of the following: Stage 1 - Translation and back translation of the MoCA-H; Stage 2 - Stimulus analysis and selection; Stage 3 - Semantic analysis of stimuli; Stage 4 - Analysis by non-expert judges, part 1; Stage 5 - Analysis by non-expert judges, part 2; Stage 6 - Pilot study. The following statistical methods were used in this study: parametric T-test, Gwet's first-order Agreement Coefficient (AC1), and the Content Validity Ratio (CVR). RESULTS: Cultural and linguistic adaptations were made to the instrument as well as changes to administration procedures to improve respondent comprehension. Participants with and without hearing loss had some comprehension difficulties in the visualspatial/executive domain task. This was observed not only in Stage 6 but also from the beginning of the adaptation process. CONCLUSION: The adaptation process yielded an instrument with satisfactory content validity.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.953
Threshold uncertainty score0.474

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.039
GPT teacher head0.381
Teacher spread0.342 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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Same venueCoDASSame topicHearing Loss and RehabilitationFrench-language works237,207