The burden of waiting: wait times for pediatric surgical procedures in Quebec and compliance with national benchmarks
Bibliographic record
Abstract
Background: Wait time information and compliance with national guidelines are limited to a few adult conditions in the province of Quebec. We aimed to assess compliance with Paediatric Canadian Access Targets for Surgery (P-CATS) guidelines and determine the burden incurred due to waiting for 3 common elective surgical conditions (inguinal hernia, cryptorchidism and hypospadias) in a pediatric population. Methods: We carried out a population-based retrospective cohort study of randomly selected children residing in Quebec without complex chronic medical conditions, using administrative databases belonging to the Régie de l'assurance maladie du Québec for the period 2010-2013. Disability-adjusted life years (DALYs) were calculated to measure the burden due to waiting. Multivariate forward regression identified risk factors for compliance with national guidelines. Results: Surgical wait time information was assessed for 1515 patients, and specialist referral wait time was assessed for 1389 patients. Compliance with P-CATS benchmarks was 76.6% for seeing a specialist and 60.7% for receiving surgery. Regression analysis identified older age (p < 0.0001) and referring physician specialty (p = 0.001) as risk factors affecting specialist referral wait time target compliance, whereas older age (p = 0.040), referring physician specialty (p = 0.043) and surgeon specialty (p = 0.002) were significant determinants in surgical wait time compliance. The total burden accrued due to waiting beyond benchmarks was 35 DALYs. Conclusion: Our results show that provincial compliance rates with wait time benchmarks are still inadequate and need improvement. Patient age and physician specialty were both found to have significant effects on wait time target compliance.
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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 | 0.001 | 0.001 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".