A survey of nurses' perceptions of the intensive care delirium screening checklist.
Bibliographic record
Abstract
OBJECTIVES: Delirium in critically ill patients is common and is associated with increased morbidity and mortality. Routine delirium screening is recommended by the Society of Critical Care Medicine. The Intensive Care Delirium Screening Checklist (ICDSC) is one validated and commonly-used tool, but little is known about nurses'perceptions of using the ICDSC, and of barriers to delirium assessment and treatment. DESIGN: A survey was administered to 189 critical care-trained nurses working on four oncology inpatient units, where the ICDSC has been used for greater than five years. RESULTS: Eighty-four nurses (44%) responded to the survey. Respondents indicated that they had knowledge of delirium, confidence in the ICDSC, and that the ICDSC was useful. Respondents perceived that physicians did not value the ICDSC results. Similar to prior nurse surveys for other delirium screening tools, physicians were the most frequently identified barrier to both delirium assessment and treatment, with other frequent barriers being lack of time, feedback on performance, and knowledge of delirium. CONCLUSIONS: The ICDSC is viewed favourably by nurses with experience using the tool. Future delirium screening programs should encourage physician engagement early in the planning process to help address perceived barriers to delirium assessment and treatment.
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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 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".