Managing the Caseload: A Qualitative Action Research Study Exploring How Community Children's Nurses Deliver Services to Children Living With Life‐Limiting, Life‐Threatening, and Chronic Conditions
Bibliographic record
Abstract
UNLABELLED: PURPOSE; The number of children living with life-limiting, life-threatening, and chronic conditions nursed at home/in the community is increasing. There is limited literature on how community children's nurses (CCNs) manage their caseloads. DESIGN AND METHODS: A qualitative-action research study used in-depth interviews. RESULTS: The study generated a number of insights about the sorts of phenomena that contribute to CCNs' perceptions of workload. Themes included strategy, being proactive, purposeful visit, and knowing families. PRACTICE IMPLICATIONS: Using a workload tool may help CCNs manage caseloads. Further work in other areas is required to identify issues of cultural specificity.
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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 | 0.010 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 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".