Gaps in patient care practices to prevent hospital-acquired delirium.
Bibliographic record
Abstract
OBJECTIVE: To evaluate the current patient care practices that address the predisposing and precipitating factors contributing to the prevention of hospital-acquired delirium in the elderly. DESIGN: Prospective cohort (observational) study. PARTICIPANTS: Patients 65 years of age and older who were admitted to medical teaching units at the University of Alberta Hospital in Edmonton over a period of 7 months and who were at risk of delirium. SETTING: Medical teaching units at the University of Alberta. MAIN OUTCOME MEASURES: Demographic data and information on predisposing factors for hospital-acquired delirium were obtained for all patients. Documented clinical practices that likely prevent common precipitants of delirium were also recorded. RESULTS: Of the 132 patients enrolled, 20 (15.2%) developed hospital-acquired delirium. At the time of admission several predisposing factors were not documented (eg, possible cognitive impairment 16 [12%], visual impairment 52 [39.4%], and functional status of activities of daily living 99 [75.0%]). Recorded precipitating factors included catheter use, screening for dehydration, and medications. Catheters were used in 35 (26.5%) patients, and fluid intake-and-output charting assessed dehydration in 57 (43.2%) patients. At the time of admission there was no documentation of hearing status in 69 (52.3%) patients and aspiration risk in 104 (78.8%) patients. After admission, reorientation measures were documented in only 16 (12.1%) patients. Although all patients had brief mental status evaluations performed once daily, this was not noted to occur twice daily (which would provide important information about fluctuation of mental status) and there was no formal attention span testing. In this study, hospital-acquired delirium was also associated with increased mortality (P < .004), increased length of stay (P < .007), and increased institutionalization (P < .027). CONCLUSION: Gaps were noted in patient care practices that might contribute to hospital-acquired delirium and also in measures to identify the development of delirium at an earlier stage. Effort should be made to educate health professionals to identify the predisposing and precipitating factors, and to screen for delirium. This might improve the prevention of delirium.
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How this classification was reachedexpand
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 | 0.012 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".