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Record W4396871307 · doi:10.1111/apa.17272

Family integrated care: State of art and future perspectives

2024· review· en· W4396871307 on OpenAlexaff
Bárbara Moreno‐Sanz, Milène Tirza Alferink, Karel O’Brien, Linda S. Franck

Bibliographic record

VenueActa Paediatrica · 2024
Typereview
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsNeonatal intensive care unitNursingHealth careHealth professionalsFamily centered carePsychologyIntensive careMedicineUnit (ring theory)Political sciencePediatrics

Abstract

fetched live from OpenAlex

Family integrated care (FICare) represents a contemporary approach to health care that involves the active participation of families within the healthcare team. It empowers families to acquire knowledge about the specialised care required for their newborns admitted to neonatal intensive care unit (NICU) and positions them as primary caregivers. Healthcare professionals in this model act as mentors and facilitators during the hospitalisation period. This innovative model has exhibited notable enhancements in both short- and long-term health outcomes for neonates, alongside improved psychological well-being for families and heightened satisfaction among healthcare professionals. Initially designed for stable premature infants and their families, FICare has evolved to include critically ill premature and full-term infants. Findings from recent studies affirm the safety and feasibility of FICare as a NICU-wide model of care, benefiting all infants and families. The envisioned expansion of FICare focusses on sustainability and extending its implementation, recognising the necessity for tailored adaptations to suit varying diverse cultural and socio-economic contexts.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.946
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.014
GPT teacher head0.286
Teacher spread0.272 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations18
Published2024
Admission routes1
Has abstractyes

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