Development of pediatric wait time access targets
Bibliographic record
Abstract
BACKGROUND: The effective management of wait times is a top priority for Canadians. Attention to date has largely focused on wait times for adult surgery. The purpose of this study was to develop surgical wait time access targets for children. METHODS: Using nominal group techniques, expert panels reached consensus on prioritization levels for 574 diagnoses in 10 surgical disciplines for wait 1 (W1; time from primary care visit to surgical consultation) and wait 2 (W2; time from decision to operate to receipt of surgery). RESULTS: A 7-stage priority classification reflects the permissible timeframe for children to receive consultation (W1) or surgery (W2). Access targets by priority were linked to 574 diagnoses in 10 pediatric surgical subspecialties. CONCLUSION: The pediatric surgical wait time access targets are a standardized, comprehensive and consensus-based model that can be systematically applied to children's hospitals across Canada. Future research and evaluation on outcomes from this model will evaluate improved access to pediatric surgical care.
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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 | 0.022 | 0.055 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".