Neuromuscular Blocking Agents and Therapeutic Hypothermia Post Cardiac Arrest in the Intensive Care Unit: Knowledge to Practice
Bibliographic record
Abstract
Neuromuscular Blocking Agents and Therapeutic Hypothermia Post Cardiac Arrest in the Intensive Care Unit: Knowledge to Practice Therapeutic hypothermia is an effective in-hospital treatment modality post ventricular fibrillation cardiac arrest, but there is a need for advanced nursing knowledge and skills to implement the treatment safely. This paper discusses one specially designed education module that was developed and implemented at the Rouge Valley Health System Hospital in Ontario, to address this need. The Knowledge-To-Action framework was used to guide the development of the module. Twelve critical care registered nurses participated in the module and findings from the project showed that the teaching learning approach of a self-paced learning package, lectures, discussions, and return demonstrations had a positive impact on nurses’ knowledge and confidence in caring for these patients. Busy ICU nurses need flexibility in the delivery of education in the clinical setting, and this project showed that a flexible approach can help to prepare nurses to care for patients receiving therapeutic hypothermia.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".