Improving the Prevention, Detection, and Management of Delirium in Adult Inpatients; an Interprofessional Consultative Team Pilot Project
Bibliographic record
Abstract
Delirium is a common, often preventable fluctuating state of cognition associated with increased morbidity and mortality. This report describes the implementation of an interprofessional consultative Delirium Team formed to improve the prevention, detection, and management of delirium in a community hospital. Team members consulted refered inpatients with delirium to establish a care plan and provide recommendations for pharmacological and non-pharmacological management. The team also offered delirium-related education to unit staff, patients, and caregivers. Consultations were initially completed by the team Nurse Practitioner or Occupational Therapist, and complex patients were discussed with the team Geriatrician and Psychiatrist at rounds to optimize specialist input. Of the 160 patients managed by the team over the 8-month study period, two-thirds of referred patients did not require specialist consultation for their delirium management. Strategies most often recommended by experts for managing delirium were related to medical management, social/cognitive engagement, and functional mobility. Two-thirds of all recommendations made by the team were implemented. Barriers and facilitators to implementation and improving unit staff adherence are further described. The consultative Delirium Team is a promising model that should be further explored for managing an aging population in a capacity-limited medical system.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 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".