Critical Care Nurses' Perceptions of DNR Status
Bibliographic record
Abstract
PURPOSE: To describe the perceptions of nurses regarding do-not-resuscitate (DNR) decisions in critical care settings. DESIGN: A survey assessing knowledge, attitudes, and practices concerning DNR status was distributed to all critical care nurses who were registered with the provincial licensing body in Alberta, Canada, and held positions of staff nurse, educator, or manager. METHODS: Four hundred and five surveys were completed and returned. Descriptive analyses were conducted. FINDINGS: The term "DNR" was found to be ambiguous. The rationale for DNR orders were also not well articulated in practice. Although nurses believed that patients, families, and nurses should participate in DNR decisions, physicians were most often cited as being responsible for the decision. CONCLUSIONS: Documentation of a comprehensive patient treatment plan and awareness of the rationale for DNR designation are strategies suggested to help achieve desire patient care goals in critical care settings.
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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 | 0.001 |
| 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) | 0.001 | 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".