Characteristics of frequent users of emergency departments living with major neurocognitive disorders: a cohort study
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.
Bibliographic record
Abstract
Objective: This study aimed to describe and compare the characteristics of community-dwelling older adults living with or without major neurocognitive disorders who made frequent use of emergency departments. Methods: This is a retrospective cohort study based on a secondary analysis of provincial health administrative data in Quebec, Canada. We included community-dwelling older adults from Quebec who were considered frequent emergency department users (a minimum of 4 visits in the year following an index emergency department visit chosen randomly between January 1, 2012, and December 31, 2013) and who had been diagnosed with at least one chronic condition. We compared characteristics of frequent users living with or without major neurocognitive disorders using chi-square and Kruskal-Wallis tests. Results: The study cohort consisted of 21 393 frequent emergency department users, of which 3051 (14.26%) were identified as having a major neurocognitive disorder. The results highlight a higher burden of chronic conditions, polypharmacy, antipsychotic use, and past use of healthcare services among these individuals. The results also reveal a higher proportion of conditions associated with geriatric syndromes such as trauma and injury, malnutrition, orthostatic hypertension, and gait disorders. Conclusion: Frequent emergency department users living with major neurocognitive disorders represent a complex population. Our results highlight the importance of systematically addressing their needs in appropriate settings and through customized interventions.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it