From insights to impact: leveraging implementation science to improve neonatal pain practices
Bibliographic record
Abstract
Painful procedures are the main cause of pain in hospitalized newborns. Despite high-quality synthesized evidence on the effectiveness and safety of analgesic strategies, procedural pain relief in newborns is still insufficient. The Be Sweet with Babies video was developed to disseminate and promote the use of this knowledge. The video was initially produced in English and French and later translated into other languages such as Portuguese (Brazil). The Be Sweet with Babies video demonstrates the effects of breastfeeding, skin-to-skin care, and sweet solutions in newborns undergoing heel lancing and venepuncture. When assessed by nurses, parents, and the public (though social media), the video was considered useful, easy to understand, and to apply in real scenarios. The use of all analgesic strategies was considered feasible. In a rooming-in unit, newborns of mothers who watched the video were twice as likely to receive analgesia during the newborn screening compared to newborns of mothers who did not watch the video. Researchers and healthcare professionals need to commit to advancing knowledge, based on the best available evidence and addressing knowledge gaps, as well as implementing the best evidence-based practices in neonatal care.
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 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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".