Impact of a nurse engagement intervention on pain, agitation and delirium assessment in a community intensive care unit
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Bibliographic record
Abstract
BACKGROUND: In 2013, the Society of Critical Care Medicine published a revised version of the ICU Pain, Agitation, and Delirium (PAD) guidelines. Immobility and sleep were subsequently added in 2018. Despite the well-established advantages of implementing these guidelines, adoption and adherence remain suboptimal. This is especially true in community settings, where PAD assessment is performed less often, and the implementation of PAD guidelines has not yet been studied. The purpose of this prospective interventional study is to evaluate the effect of a multifaceted nurse engagement intervention on PAD assessment in a community intensive care unit (ICU). METHODS: All patients admitted to our community ICU for over 24 hours were included. A 20-week baseline audit was performed, followed by the intervention, and a 20-week postintervention audit. The intervention consisted of a survey, focus groups and education sessions. Primary outcomes included rates of daily PAD assessment using validated tools. RESULTS: There were improvements in the number of patients with at least one assessment per day of pain (67.5% vs 59.3%, p=0.04), agitation (93.1% vs 78.7%, p<0.001) and delirium (54.2% vs 39.4%, p<0.001), and the number of patients with target Richmond Agitation-Sedation Scale ordered (63.1% vs 46.8%, p=0.002). There was a decrease in the rate of physical restraint use (10.0% vs 30.9%, p<0.001) and no change in self-extubation rate (0.9% vs 2.5%, p=0.2). CONCLUSION: The implementation of a multifaceted nurse engagement intervention has the potential to improve rates of PAD assessment in community ICUs. Screening rates in our ICU remain suboptimal despite these improvements. We plan to implement multidisciplinary interventions targeting physicians, nurses and families to close the observed care gap.
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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 | 0.010 | 0.005 |
| 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 | 0.001 |
| 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 it