Toy‐Mediated Distraction: Clarifying the Role of Distraction Agent and Preneedle Distress in Toddlers
Bibliographic record
Abstract
BACKGROUND: Distraction has recently gained attention as a technique that may help reduce acute pain in infants and toddlers; however, results remain equivocal. It appears that these mixed results stem from a variety of methodological differences with regard to how distraction is implemented. OBJECTIVES: To offer more definitive conclusions regarding the efficacy and mechanisms of distraction for pain management during infancy. Specifically, the goal was to examine whether the agent of distraction (i.e., the specific person conducting the distraction) and preneedle distress behaviours impact the efficacy of distraction when toddlers were held by parents. METHODS: A total of 99 toddlers were randomly assigned to one of three conditions (typical care, research assistant-directed distraction or parent-directed distraction). Toddler distress behaviours were assessed pre- and postneedle. Toddlers were further grouped according to distress behaviours preneedle (low⁄no distress versus high distress). Parental soothing behaviours were also assessed as a manipulation check. RESULTS: Toddler postneedle pain did not significantly differ among groups. However, toddlers who were distressed preneedle displayed significantly more pain postneedle, regardless of the treatment group. There were no significant interactions between treatment group and preneedle distress behaviours. CONCLUSIONS: These results suggest that, when being held by a parent, distraction using a toy does not result in lower pain scores in the context of immunization, regardless of who offers the distraction. Furthermore, these findings raise the notion that if clinicians ensured toddlers were regulated before attempting an immunization, postneedle pain may be significantly reduced.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".