Évaluation de la version française d’une formation en ligne sur l’appropriation d’une échelle d’évaluation de la douleur pédiatrique
Bibliographic record
Abstract
Context: There is no French-language training to educate nurses on the use of the Face, Legs, Activity, Cry, Consolability (FLACC) pain scale, whose scores guide the treatment of pediatric pain. Aims: The aim of this study was to evaluate a French online training program for the FLACC scale offered to Francophone undergraduate nursing students. Methods: Online training was offered to nursing students enrolled in a pediatric nursing course. Participants completed online questionnaires pre- and post-training to assess their perception of their knowledge and confidence, the accuracy of their pain assessment scores, as well as the usefulness and user-friendliness of the training. Results: The FLACC online training improved students’ perceived knowledge (p = 0.0004) and confidence (p = 0.0053) in the FLACC pediatric pain scale. Students’ accuracy of severe pain assessment scores significantly improved (p = 0.0159) and slightly improved for moderate pain (p = 0.6363). However, accuracy for mild pain assessment was slightly decreased post-training (p = 0.7686). Discussion: An improvement of the quality of videos linked to mild pain, and the quantity of videos for all levels of pain, is required for this study to be replicated among a larger sample. Conclusion: The online training fills the gap in nurses’ lack of knowledge about the use of the FLACC pain scale and improves access to quality training in French.
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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 | 0.055 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| 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; both teacher heads agree on what is shown here.
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".