Effects of Alberta Family Integrated Care (FICare) on Preterm Infant Development: Two Studies at 2 Months and between 6 and 24 Months Corrected Age
Bibliographic record
Abstract
Preterm infants are at increased risk for developmental delays. Family integrated care (FICare) is a novel care delivery model that integrates parents into their infant’s care in the neonatal intensive care unit. Two follow-up studies are presented to identify effects of Alberta FICare™ on the development of preterm infants born between 32 and 34 weeks of gestation. Data for Study 1 were collected at an age of 2 months, and between 6 and 24 months for Study 2. In Study 1, Ages and Stages Questionnaires (ASQ) and maternal psychosocial distress measures were completed by 330 mothers of 387 infants (FICare, n = 223; standard care, n = 164). Study 2 utilised an additional measure, the Parent–Child Interaction Teaching Scale, with 50 mothers of 61 infants (FICare, n = 30; standard care, n = 31). For Study 1, there was no effect of Alberta FICare™ on the ASQ domains of communication, problem solving, or personal–social at an age of 2 months. For Study 2, the risk of communication delay was significantly lower for infants in Alberta FICare™ compared with standard care. Results from Study 2 suggest a possible protective effect of Alberta FICare™ for the risk of communication delays between 6 and 24 months. Further investigation into the effect of Alberta FICare™ on parent–child interactions and implications for long-term development is warranted.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".