Story-Telling Attention-Refocusing (STAR) intervention to alleviate acute stress in parents of infants in the NICU
Bibliographic record
Abstract
Introduction Admission of an infant to the neonatal intensive care unit (NICU) is a stressful event for parents. The physical separation and inability to hold their child due to minimal handling protocols or infection control such as in the recent COVID-19 pandemic is a major contributor to parental stress. Knowledge on a contact-free parent administered intervention to reduce the stress of parents whose infant necessitates neonatal intensive care is lacking. Objective To assess the effect of a contact-free, Story-Telling Attention-Refocusing (STAR) intervention on the acute stress of parents whose infant is in the NICU. Methods A block-randomized controlled single-blind trial was conducted in a level II–III NICU. Parents in the experimental group provided the STAR intervention which consisted of designated prompts to share stories with their infants over a ten-minute period, three times per week, for 1 week. Parent acute stress was measured using the PSS:NICU questionnaire before and after the STAR intervention period, and differences in acute stress between mothers and fathers were assessed as well as parent satisfaction. Results Twenty-one parents completed the study. Results revealed that overall PSS:NICU stress scores lowered significantly within the intervention group ( p = 0.04), and the intervention mediated acute stress of mothers and fathers differently ( p = 0.01). Parents reported feeling overall satisfied with the STAR program and they felt less stressed in the hospital and more connected to their infants. Conclusion The STAR program provides parents a unique opportunity to interact with their infant in a positive meaningful manner and may reduce acute stress in parents during their infants NICU stay.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".