A Parent-Targeted Video for Evidence-Based Newborn Pain Management Strategies
Bibliographic record
Abstract
PURPOSE: To address care gaps in newborn pain management, a parent-targeted video (BSweet2Babies video) was developed using co-design principles. The purpose of the study was to specify which behavior change techniques are included in the BSweet2Babies video and whether they address key barriers to newborn pain management. BACKGROUND: Behavior change techniques are the active components of an implementation intervention and are meant to address barriers in order to increase the impact of the intervention. METHODS: This study adopted a mixed-method approach including 3 phases: (1) identifying behavior change techniques in the BSweet2Babies video, (2) coding parents' barriers for engaging in pain management for their newborn babies based on the theoretical domains framework (TDF), and (3) mapping behavior change techniques to barriers codes. RESULTS: Seven behavior change techniques were identified in the BSweet2Babies video. The key barriers to parents' engagement in newborn pain management were lack of (timely) information about pain management options, parents' difficulty in determining their role in pain management and neonatal intensive care unit environment (lack of space for parents, limited visiting hours). These barriers related to the TDF domains knowledge, social/ professional role and identity and environmental context and resources. The knowledge domain was addressed in the BSweet2Babies video; the other 2 domains were not. CONCLUSIONS: This paper identified potential for additional behavior change techniques that may enhance the BSweet2Babies video. IMPLICATIONS FOR PRACTICE AND RESEARCH: This is an exemplar study of a methodology that could be used to enhance existing implementation interventions.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".