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Record W7093348070 · doi:10.1016/j.jnn.2025.101741

Creating a calmer NICU: Parental and nursing perspectives of a therapeutic device

2025· article· en· W7093348070 on OpenAlexafffund

Bibliographic record

VenueJournal of Neonatal Nursing · 2025
Typearticle
Languageen
FieldHealth Professions
TopicNeonatal skin health care
Canadian institutionsB.C. Women's Hospital & Health CentreBC Children's HospitalUniversity of British ColumbiaUniversity of British Columbia Hospital
FundersUniversity of British Columbia
KeywordsMEDLINENursing careHealth careNeonatal nursingClinical Practice

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.741
Threshold uncertainty score0.682

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.036
GPT teacher head0.445
Teacher spread0.410 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

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