Predisposing Factors Associated With Delirium Among Demented Long-Term Care Residents
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
This was a cross-sectional study to investigate predisposing factors associated with delirium among demented long-term-care residents and to assess the cumulative effect of these factors on the likelihood of having delirium. Of the 155 participants, 109 (70.3%) were found delirious according to the confusion assessment method. Among these individuals, age (OR = 1.07; 95% CI = 1.05-1.10) and severity of dementia (OR = 1.05; 95% CI = 1.03-1.07) were the most associated factors of delirium. The likelihood of being in delirium increased with the number of associated predisposing factors present (OR = 1.67; 95% CI = 1.11-2.51). Associated factors identified were level of functional autonomy, pain, depression, behavioral disturbances, number of medications, dehydration, fever, and malnutrition. Identification of predisposing factors will help nurses in detecting those residents in long-term care settings who are at high-risk for delirium, as well as in designing preventive intervention strategies for delirium, based on these factors.
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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 | 0.001 | 0.037 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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