Family integrated care: Supporting parents as primary caregivers in the neonatal intensive care unit
Bibliographic record
Abstract
Family integrated care (FICare) is a collaborative model of neonatal care which aims to address the negative impacts of the neonatal intensive care unit (NICU) environment by involving parents as equal partners, minimizing separation, and supporting parent-infant closeness. FICare incorporates psychological, educational, communication, and environmental strategies to support parents to cope with the NICU environment and to prepare them to be able to emotionally, cognitively, and physically care for their infant. FICare has been associated with improved infant feeding, growth, and parent wellbeing and self-efficacy; important mediators for long-term improved infant neurodevelopmental and behavioural outcomes. FICare implementation requires multi-disciplinary commitment, staff motivation, and sufficient time for preparation and readiness for change as professionals relinquish power and control to instead develop collaborative partnerships with parents. Successful FICare implementation and culture change have been applied by neonatal teams internationally, using practical approaches suited to their local environments. Strategies such as parent and staff meetings and relational communication help to break down barriers to change by providing space for the co-creation of knowledge, the negotiation of caregiving roles and the development of trusting relationships. The COVID-19 pandemic highlighted the vulnerability within programs supporting parental presence in neonatal units and the profound impacts of parent-infant separation. New technologies and digital innovations can help to mitigate these challenges, and support renewed efforts to embed FICare philosophy and practice in neonatal care during the COVID-19 recovery and beyond.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".