Combined didactic and scenario-based education improves the ability of intensive care unit staff to recognize delirium at the bedside
Bibliographic record
Abstract
BACKGROUND: While nurses play a key role in identifying delirium, several authors have noted variability in their ability to recognize delirium. We sought to measure the impact of a simple educational intervention on the ability of intensive care unit (ICU) nurses to clinically identify delirium and to use a standardized delirium scale correctly. METHODS: Fifty ICU nurses from two different hospitals (university medical and community teaching) evaluated an ICU patient for pain, level of sedation and presence of delirium before and after an educational intervention. The same patient was concomitantly, but independently, evaluated by a validated judge (rho = 0.98) who acted as the reference standard in all cases. The education consisted of two script concordance case scenarios, a slide presentation regarding scale-based delirium assessment, and two further cases. RESULTS: Nurses' clinical recognition of delirium was poor in the before-education period as only 24% of nurses reported the presence or absence of delirium and only 16% were correct compared with the judge. After education, the number of nurses able to evaluate delirium using any scale (12% vs 82%, P < 0.0005) and use it correctly (8% vs 62%, P < 0.0005) increased significantly. While judge-nurse agreement (Spearman rho) for the presence of delirium was relatively high for both the before-education period (r = 0.74, P = 0.262) and after-education period (r = 0.71, P < 0.0005), the low number of nurses evaluating delirium before education lead to statistical significance only after education. Education did not alter nurses' self-reported evaluation of delirium (before 76% vs after 100%, P = 0.125). CONCLUSION: A simple composite educational intervention incorporating script concordance theory improves the capacity for ICU nurses to screen for delirium nearly as well as experts. Self-reporting by nurses of completion of delirium screening may not constitute an adequate quality assurance process.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".