A Multicomponent Nonpharmacological Intervention to Prevent Delirium for Hospitalized People with Advanced Cancer: A Phase II Cluster Randomized Waitlist Controlled Trial (The PRESERVE Pilot Study)
Bibliographic record
Abstract
Background: Delirium is a common debilitating complication of advanced cancer. Objective: To determine if a multicomponent nonpharmacological delirium prevention intervention was feasible for adult patients with advanced cancer, before a phase III (efficacy) trial. Design: Phase II (feasibility) cluster randomized controlled trial. All sites implemented delirium screening and diagnostic assessment. Strategies within sleep, vision and hearing, hydration, orientation, mobility, and family domains were delivered to enrolled patients at intervention site admission days 1–7. Control sites then implemented the intervention (“waitlist sites”). Setting: Four Australian palliative care units. Measurements: The primary outcome was adherence, with an a priori endpoint of at least 60% patients achieving full adherence. Secondary outcomes were interdisciplinary care delivery, delirium measures, and adverse events, analyzed descriptively and inferentially. Results: Sixty-five enrolled patients (25 control, 20 intervention, and 20 waitlist) had 98% delirium screens and 75% diagnostic assessments completed. Nurses (67%), physicians (16%), allied health (8.4%), family (7%), patients (1%), and volunteers (0.5%) delivered the intervention. There was full adherence for 5% patients at intervention sites, partial for 25%. Both full and partial adherence were higher at waitlist sites: 25% and 45%, respectively. One-third of control site patients (32%) became delirious within seven days of admission compared to one-fifth (20%) at both intervention and waitlist sites ( p = 0.5). Mean (standard deviation) Delirium Rating Scale-Revised-1998 scores were 16.8 + 12.0 control sites versus 18.4 + 8.2 ( p = 0.6) intervention and 18.7 + 7.8 ( p = 0.5) waitlist sites. The intervention caused no adverse events. Conclusion: The intervention requires modification for optimal adherence in a phase III trial.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".