Translating Delirium Prevention Strategies for Elderly Adults with Hip Fracture into Routine Clinical Care: A Pragmatic Clinical Trial
Bibliographic record
Abstract
OBJECTIVES: To compare the feasibility (adherence) and effectiveness (prevalence of delirium, length of stay, mortality, discharge site) of delirium-friendly preprinted postoperative orders (PPOs) for individuals with hip fracture, administered by regular orthopedic nurses, with routine postoperative orders. DESIGN: Pragmatic clinical trial to evaluate a quality improvement intervention. SETTING: Tertiary care hospital. PARTICIPANTS: Individuals aged 65 and older admitted for hip fracture repair (N = 283). INTERVENTION: PPOs with delirium-friendly options and doses for nighttime sedation, analgesia, and nausea and attention to catheter removal and bowel movements. MEASUREMENTS: Adherence to PPO was compared with adherence to routine orders. Drug doses were recorded. Presence of delirium was documented using the Confusion Assessment Method and the Mini-Mental State Examination on postoperative Days 1, 3, and 5. Length of stay, discharge site, and in-hospital mortality were recorded. RESULTS: Orthopedic nurses adhered reasonably well with delirium-friendly PPOs. Of 283 participants, 42% developed postoperative delirium, with significantly less delirium in the intervention group (intervention 33%, control 51%, P = .001). The effect of the intervention was stronger in individuals with preexisting dementia (intervention 60%, control 97%, P < .001). Participants with postoperative delirium had longer hospital stays and were more likely to die or be discharged to a nursing home, but there was no significant between-group difference in these outcomes. CONCLUSION: It is possible to introduce delirium-friendly PPOs into routine post-hip fracture care in a representative elderly population including individuals with dementia. Delirium-friendly PPOs executed by regular nursing staff resulted in a significant reduction in postoperative delirium but no difference in other outcomes.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".