Training healthcare professionals in hypnosis-derived communication to mitigate procedural pain in children
Bibliographic record
Abstract
How professionals communicate during medical procedures may have a significant impact on children and adolescents' pain. Rel@x is a manualized training program designed to develop hypnosis-derived communication skills to mitigate childhood pain and distress. The study aimed to evaluate if this training was associated with an improvement and maintenance in communication skills over time, and measure associations between changes and participants' characteristics. A 9-hour training in hypnosis-derived communication was offered to 78 volunteer healthcare professionals from a tertiary pediatric hospital, and 58 participated in the evaluative study. Participants were evaluated at baseline, immediately after training, and 5 months later (39 ± 10 yrs, 52 women, 54 nurses). We used a video-recorded standardized simulation protocol of blood draw and coded the participants' interactions with the pre-validated Sainte-Justine Hypnotic Communication Assessment Scale (SJ-HCAS) assessing relational, technical, and total skills. We modeled pre-post-follow-up changes over time with latent growth curve models. Satisfaction with Rel@x was consistently excellent (97%). Across the 3 domains, we observed significant improvements of total (+ 61%, 95% CI 53-69%), relational (+ 27%, 95% CI 20-34%), and technical skills (+ 124%, 95% CI 08-140%). Post-training competence levels were 73-91% across domains. A large proportion of acquired skills were maintained at 5 months (55-75%) suggesting a significant effect of the training. Sensitivity analyses confirmed these results (best-case/worst-case skill maintenance ratio: 59-79%/49-73%). Larger improvements in technical skills were associated with younger age and lower baseline skills of participants. The Rel@x training is associated with improved skills in hypnotic communication post-training and at follow-up. This simulation study paves the way for future efficacy studies to examine the effect of hypnotic communication on real patients' pain and distress.
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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 | 0.007 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".