Cue utilization by expert pediatric critical care nurses in making clinical judgments related to endotracheal suctioning.
Bibliographic record
Abstract
The nature of nursing judgment in clinical practice situations remains incompletely explored. It is known that nurses perform endotracheal suctioning as part of the nursing care of critically ill children. However, the ways in which nurses judge the need for suctioning and the method used to suction are not well understood. This research study was conducted to describe the cues that expert pediatric critical care nurses use in making the judgment to suction and to describe how those cues are used in determining the timing of endotracheal suctioning. A qualitative naturalistic study was conducted in a quaternary pediatric critical care unit in Central Canada. A purposive sample of seven expert pediatric critical care nurses participated in the study. Data were collected using three methods---participant observations (field notes), think aloud (concurrent verbalizations) and semi-structured interviews (retrospective verbalizations)---as participants cared for ventilated, critically ill children. (Abstract shortened by UMI.)
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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 | 0.005 | 0.045 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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 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".