Clinical innovation for promoting family care in paediatric intensive care: demonstration, role modelling and reflective practice
Bibliographic record
Abstract
AIM: To explore family caregiving problems in paediatric crisis care and methods that could be applied to move the abstraction of family care to development of specific family interventions. BACKGROUND AND RATIONAL: Family centred care has been accepted as the ideal philosophy for holistic health care of children, but methods for its implementation are not well established. In paediatric health crises, family care requires special sensitivity to family needs and a type of complex nursing care for which many practitioners are not sufficiently prepared. Developing family sensitive models of intervention and finding a strategy for transfer of this knowledge to clinical practice is an important challenge facing family nursing today. Social learning theory provides a rich background to explore these issues. CONCLUSIONS: Specific techniques of role modelling and reflective practice are suggested as effective approaches to teach family sensitive care in clinical settings where families are part of the care environment.
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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 | 0.002 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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".