Evaluation of a parent‐targeted video in Portuguese to improve pain management practices in neonates
Bibliographic record
Abstract
AIMS AND OBJECTIVES: To assess parents' knowledge on breastfeeding, skin to skin care and sweet solutions as neonatal analgesic strategies, and to evaluate parents' perception on the feasibility, acceptability and usefulness of the Portuguese version of the "Be Sweet to Babies" video. BACKGROUND: Neonatal pain management during blood sampling is suboptimal, and knowledge translation strategies are needed to improve clinical practices. The "Be Sweet to Babies" video is a parent-targeted knowledge translation tool that shows the effectiveness of breastfeeding, skin to skin contact and sweet solutions for procedural pain relief. DESIGN: Cross-sectional study. METHODS: Parents of infants hospitalised in an intensive care unit watched the video during their infants' hospitalisation and then answered a survey. Descriptive analyses of the data were performed. RESULTS: Hundred parents were included. The majority did not know about the analgesic effects of breastfeeding (80%), skin to skin contact (69%) and sweet solutions (93%), and a limited number of parents stated their infants had received the strategies during painful procedures (7%, 11%, 2%, respectively). After watching the video, all (100%) parents intended to use or to advocate for one of the strategies; most (90%) of the parents would use any of the methods. All parents (100%) would recommend the video and considered the video useful, easy to understand, easy to apply in real scenarios. Length of the video was considered as ideal by 92%. CONCLUSIONS: The Portuguese version of the "Be Sweet to Babies" video is feasible, acceptable and useful for parental education and is a persuasive knowledge translation tool. Further studies are needed to evaluate the effects of this parent-targeted intervention on the implementation of the analgesic strategies during clinical care. RELEVANCE TO CLINICAL PRACTICE: This article highlights the importance of exploring evidence-based knowledge translation tools for improving neonatal care and outcomes.
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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 | 0.007 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".