Treating and reducing anxiety and pain in the paediatric emergency department—TIME FOR ACTION—the TRAPPED quality improvement collaborative
Bibliographic record
Abstract
BACKGROUND/OBJECTIVES: In 2013, the TRAPPED-1 survey reported inconsistent availability of pain and distress management strategies across all 15 Canadian paediatric emergency department (PEDs). The objective of the TRAPPED-2 study was to utilize a procedural pain quality improvement collaborative (QIC) and evaluate the number of newly introduced pain and distress-reducing strategies in Canadian PEDs over a 2-year period. METHODS: A QIC was created to increase implementation of new strategies, through collaborative information sharing among PEDs. In 2015, 11 of the 15 Canadian PEDs participated in the TRAPPED QIC. At the end of the year, the TRAPPED-2 survey was electronically sent to a representative member at each of the 15 PEDs. The successful introduction of the chosen strategies by the QIC was assessed as well as the addition of new strategies per site. The number of new strategies introduced in the participating and nonparticipating QIC sites were described. RESULTS: All 15 PEDs (100%) completed the TRAPPED-2 survey. Overall, 10/11 of QIC-participating sites implemented the strategy they had initially identified. All 15 Canadian PEDs implemented some new strategies during the study period; participants in the QIC reported a mean of 5.2 (1-11) new strategies compared to 2.5 (1-4) in the nonactively participating sites. CONCLUSION: While all PEDs introduced new strategies during the study, QIC-participating sites successfully introduced the majority of their previously identified new strategies in a short time period. Sharing deadlines and information between centres may have contributed to this success.
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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 | 0.015 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".