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Record W4416182403 · doi:10.1159/000549500

Culturally Adapted Cognitive Screening: Validation of the Jilla Moroccan Dementia Scale

2025· article· en· W4416182403 on OpenAlexaboutno aff
Mariam Jilla, Nouhaila Laghnimi, Adil Gourinda, Amine Fakir, Aamer M’Barki, Habiba Zouali, Rachid Belfkih, Saı̈d Boujraf, Abdelhamid Benazzouz, Zouhayr Souirtic

Bibliographic record

VenueDementia and Geriatric Cognitive Disorders · 2025
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
Fundersnot available
KeywordsDementiaNormativeCognitionCulturally appropriateScale (ratio)PsychometricsTest validityCognitive impairmentCultural diversity

Abstract

fetched live from OpenAlex

INTRODUCTION: Standard cognitive screening instruments such as the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) often fail to identify cognitive impairment in individuals with low literacy or no formal education as these tests rely heavily on reading, writing, and abstract reasoning. In Morocco and other low- and middle-income countries (LMICs), this limitation contributes to the under-recognition and diagnostic inaccuracy of dementia, particularly in communities with limited access to education or healthcare resources. The aim of the study was to develop and validate a culturally adapted, literacy-independent cognitive screening battery, the Jilla Moroccan Dementia Scale (J-MDS), specifically designed for use among adults with limited schooling in Morocco. METHODS: The J-MDS comprises 17 entirely oral and pictorial subtests assessing memory, attention, language, executive function, praxis, and orientation. A total of 109 participants were included (54 living with dementia and 55 cognitively healthy controls). Dementia diagnosis was established according to DSM-5 clinical criteria, which served as the gold standard. Psychometric properties of the J-MDS were compared with the Moroccan Arabic version of the MoCA (MoCA-Darija). Internal consistency, concurrent validity, and diagnostic accuracy were assessed following the STARDem guidelines. RESULTS: The J-MDS demonstrated excellent internal consistency (Cronbach's α = 0.936) and a strong correlation with the MoCA (ρ = 0.944, p < 0.001). Receiver operating characteristic analysis showed an area under the curve (AUC) of 0.986, with an optimal cutoff score of 82, yielding 98.15% sensitivity and 94.55% specificity for dementia detection. Test performance was unaffected by gender, moderately influenced by age and education level, and remained robust across literacy groups. CONCLUSION: The J-MDS is a reliable, culturally relevant, and clinically feasible cognitive screening tool for low-literacy populations. Its strong psychometric performance and simple administration make it well suited for community and primary care settings in Morocco and comparable LMICs. Future multicentre and longitudinal studies are recommended to establish normative data and confirm its applicability across diverse cultural contexts.

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)0.000
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 score0.078
Threshold uncertainty score0.908

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.008
GPT teacher head0.279
Teacher spread0.271 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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