Novice nurses' first death in critical care.
Bibliographic record
Abstract
BACKGROUND: The curative focus of critical care and the advanced technology may overshadow the fact that critically ill patients die. Research investigating critical care nurses involvement with death has predominately focused on experienced nurses, but these findings may not be applicable to novice nurses. Increasingly, novice nurses are beginning their careers in critical care and there is minimal research describing their experiences with death. PURPOSE: To explore the experiences of novice nurses with their first patient death in critical care. METHOD: Approval was received by the University of Alberta Health Research Ethics Board and the health region's Nursing Division Administration to conduct a qualitative research study. Five nurses, employed in a medical-surgical intensive care unit, participated in the study. Data collection involved an unstructured interview with each participant. FINDINGS: Analysis of the data revealed five themes: anticipating death, transition from life to death, the moment of death, being with the family, and carrying on. These findings are discussed with implications for academic and clinical settings and suggestions for future nursing research.
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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 | 0.002 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".