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Record W2342509844 · doi:10.1017/s104161021600065x

Correlates of cognitive functioning in independent elderly patients discharged home from the emergency department after a minor injury

2016· article· en· W2342509844 on OpenAlexafffundabout
Marie‐Christine Ouellet, Marie‐Josée Sirois, Simon Beaulieu‐Bonneau, Marie-Ève Gagné, Jacques Morin, Jeffrey J. Perry, Raoul Daoust, Laura Wilding, Véronique Provencher, Stéphanie Camden, Nadine Allain‐Boulé, Marcel Émond

Bibliographic record

VenueInternational Psychogeriatrics · 2016
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsCentre hospitalier universitaire de QuébecOttawa HospitalUniversity of OttawaUniversité de MontréalUniversité LavalHôpital du Sacré-Cœur de MontréalCentre for Interdisciplinary Research in Rehabilitation
FundersCanadian Institutes of Health Research
KeywordsEmergency departmentMedicineMinor (academic)CognitionEmergency medicinePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: The objective of this study was to explore correlates of cognitive functioning of older adults visiting the emergency department (ED) after a minor injury. METHODS: These results are derived from a large prospective study in three Canadian EDs. Participants were aged ≥ 65 years and independent in basic activities of daily living, visiting the ED for minor injuries and discharged home within 48 hours (those with known dementia, confusion, and delirium were excluded). They completed the Montreal Cognitive Assessment (MoCA). Potential correlates included sociodemographic and injury variables, and measures of psychological and physical health, social support, mobility, falls, and functional status. RESULTS: Multivariate analyses revealed that male sex, age ≥ 85 years, higher depression scores, slower walking speed, and self-reported memory problems were significantly associated with lower baseline MoCA scores. CONCLUSIONS: These characteristics could help ED professionals identify patients who might need additional cognitive evaluations or follow-ups after their passage through the ED. Obtaining information on these characteristics is potentially feasible in the ED context and could help professionals alter favorably elderly's trajectory of care. Since a significant proportion of elderly patients consulting at an ED have cognitive impairment, the ED is an opportunity to prevent functional and cognitive decline.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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)0.0020.000

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 head0.268
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.

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
Published2016
Admission routes3
Has abstractyes

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