Creating a calmer NICU: Parental and nursing perspectives of a therapeutic device
Bibliographic record
Abstract
Calmer is a therapeutic bed designed to mimic aspects of skin-to-skin care (SSC) for preterm infants when parents are unavailable. Understanding user perspectives of technology in healthcare is critical to effective implementation. This study aimed to explore the perspectives of parents and NICU nurses using Calmer with preterm infants over 3 weeks of exposure. Eight nurses and 6 parents of infants who used Calmer were interviewed. Interviews were transcribed and coded, with consensus verification among two independent researchers. Four main themes emerged: Calmer concept translation, design and function, Calmer fits into nursing care, and future guidance. All interviewees found Calmer user-friendly and effective as an adjunct to SSC. Nurses reported limited disruption to workflow, and parents valued the reassurance of simulated parental presence. All emphasized that Calmer was not a replacement for SSC; suggestions for improvement were provided. Our findings highlight moving closer to Calmer's readiness for implementation in NICUs.
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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 | 0.008 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".