Environmental Risk Factors for Delirium in Hospitalized Older People
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
OBJECTIVES: To evaluate the relationship of environmental risk factors in hospitals to changes over time in delirium symptom severity scores. DESIGN: Observational prospective clinical study with repeated measurements, several times during the first week of hospitalization and then weekly during hospitalization. SETTING: University-affiliated general community hospital. PARTICIPANTS: Four hundred forty-four patients age 65 and older admitted to the medical wards: 326 with delirium and 118 without delirium. Patients with prior cognitive impairment were oversampled. MEASUREMENTS: The severity of delirium symptoms was measured with the Delirium Index, a scale developed and validated by our group, based on the Confusion Assessment Method. Potential environmental risk factors assessed included isolation, hospital unit, room changes, levels of sensory stimulation, aids to orientation, and presence of medical (e.g., intravenous) or physical restraints. RESULTS: Controlling for initial severity of delirium and patient characteristics, variables significantly related to an increase in delirium severity scores included hospital unit (intensive care or long-term care unit), number of room changes, absence of a clock or watch, absence of reading glasses, presence of a family member, and presence of medical or physical restraints. CONCLUSION: The associations of intensive care and medical and physical restraints with severity of delirium symptoms may be due to uncontrolled confounding by indication. However, the other factors identified suggest potentially modifiable risk factors for symptoms of delirium in hospitalized older people.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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