Application of the occupational therapy program based on PEO model in elderly patients with mechanical ventilation in ICU: study protocol for a randomized controlled trial
Bibliographic record
Abstract
BACKGROUNDS: Delirium is a transient state of confusion caused by multiple causes in the intensive care unit (ICU), characterized by impaired consciousness and altered cognitive function. Non-pharmacological measures are effective measures to prevent delirium in the ICU, including occupational therapy, early mobilization, environmental improvement, and correction of hearing and vision. The purpose of this study is to investigate the effectiveness of occupational therapy regimens based on the Person-Environment-Occupation model (PEO) to reduce the incidence of delirium and improve the prognosis of patients with mechanical ventilation in elderly people in ICU. METHODS: This study is a single-center, randomized, controlled trial. We randomized 52 elderly mechanically ventilated patients admitted to the ICU in a 1:1 ratio into conventional delirium care (control group) and occupational therapy (experiment group). Randomization will be conducted using the sequentially numbered, opaque, sealed envelope (SNOSE) technique. The duration of treatment is from patient enrollment to patient discharge or return to baseline functional independence. The primary outcome was the incidence of delirium, which was assessed using Confusion Assessment Method for the ICU (CAM-ICU). Secondary outcome measures were duration of delirium, ability of daily living, length of ICU stay, grip strength, duration of mechanical ventilation, cognitive status, and the Canadian Occupational Performance Measure (COPM) to assess patients' functional status before and after training. DISCUSSION: This study will investigate whether occupational therapy based on the PEO model affects the incidence and functional outcomes of delirium in elderly mechanically ventilated patients in the ICU. This study will provide new and important evidence on how to optimize outcomes in elderly patients with mechanical ventilation in the ICU. TRIAL REGISTRATION: ChiCTR2500095640. Registered on January 9, 2025. https://www.chictr.org.cn/showproj.html?proj=257005.
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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 | 0.019 | 0.019 |
| Meta-epidemiology (narrow) | 0.006 | 0.002 |
| Meta-epidemiology (broad) | 0.015 | 0.006 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.039 | 0.006 |
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".