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Record W1536775843 · doi:10.1159/000433432

Usability and Validity of a Battery of Computerised Cognitive Screening Tests for Detecting Cognitive Impairment

2015· article· en· W1536775843 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGerontology · 2015
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal Cognitive AssessmentDementiaCognitionCognitive impairmentAudiologyMedicineCognitive Assessment SystemPsychologyGerontologyPsychiatryInternal medicineDisease

Abstract

fetched live from OpenAlex

BACKGROUND: Computerised cognitive screening (CCS) has the potential to detect cognitive impairment in the community, which is important for the early diagnosis of dementia. OBJECTIVE: The aim of this study was to investigate the ability of older adults with dementia to engage with smart phone and tablet technologies and to determine the accuracy of a battery of CCS tasks to detect cognitive impairment in comparison with the Montreal Cognitive Assessment (MoCA). METHODS: Patients with mild-moderate dementia (n = 40) attending a university-linked day hospital and normal controls (n = 20) completed (i) a questionnaire detailing the frequency and breadth of their technology use, (ii) three commercially available CCS tasks, and (iii) the MoCA. RESULTS: The three CCS tasks were completed by 85% (n = 34) of the patients with dementia and all controls; only 4 reported the task as 'hard'. Those with dementia scored significantly lower on the CCS than controls (p < 0.001). CCS scores correlated with total MoCA scores (r = 0.78, p < 0.01). Further, the CCS scores significantly predicted MoCA scores, controlling for the effects of age, gender, educational attainment, and frequency of technology use (β = 0.71, p < 0.001), explaining 65.2% of the variance. Total CCS and MoCA scores (cut-off score <24) had similar sensitivity (94 and 95%, respectively) and accuracy (area under the curve 0.94 and 0.99, respectively, p = 0.5) in discriminating dementia from controls, though the CSS had lower specificity (60 vs. 100% for the MoCA). CONCLUSION: The participants had little difficulty self-administering the CCS, which is an oft-cited barrier to computerised testing in this population. Our results support the criterion and construct validity of a CCS versus the commonly used MoCA. Although further research is required, CCS for cognitive impairment may be useful in the community and, by prompting referral to specialist services, could lead to an earlier diagnosis of dementia.

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.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.543

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.145
GPT teacher head0.399
Teacher spread0.254 · 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