Including Parents in the Evaluation of Clinical Microsystems in the Neonatal Intensive Care Unit
Bibliographic record
Abstract
Neonatal intensive care is an area of healthcare that has experienced significant growth in recent years. As a result, "megaunits" of more than 60 beds are not uncommon. Delivering care in units of this size that incorporates the principles of family-centered care and that is satisfying to both staff and parents is challenging. One proposed method to enhance delivery of care in the megaunit NICU has been to implement a clinical microsystem approach. Up to now, research to evaluate the efficacy of a clinical microsystem has focused primarily on staff satisfaction and perception. However, implementing the clinical microsystem within the NICU requires that careful attention be paid to the parents and their experience and perception of their infant's care in the NICU. This article reviews the basic principles of family-centered care, identifies components of care that affect parents' satisfaction with NICU care, reviews the theoretical underpinnings of the clinical microsystem, and discusses areas for future 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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".