Determining the need for team-based training in delirium management: A needs assessment of surgical healthcare professionals
Bibliographic record
Abstract
The high incidence of delirium in surgical units is a serious quality concern, given its impact on morbidity and mortality. While successful delirium management depends upon interdisciplinary care, training needs for surgical teams have not been studied. A needs assessment of surgical units was conducted to determine perceived comfort in managing delirium, and interprofessional training needs for team-based care. We administered a survey to 106 General Surgery healthcare professionals (69% response rate) with a focus on attitudes towards delirium and team management. Although most respondents identified delirium as important to patient outcomes, only 61% of healthcare professionals indicated that a team-based approach was always observed in practice. Less than half had a clear understanding of their role in delirium care, while just over half observed team communication of delirium care plans during handover. This is the first observation of clear gaps in perceived team performance in a General Surgery setting.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".