Effect of the coronavirus disease 2019 pandemic on paediatric bilateral myringotomy and tube insertion rates in New Brunswick, Canada
Bibliographic record
Abstract
Abstract Objective To assess the effect of the coronavirus disease 2019 pandemic on paediatric bilateral myringotomy and tube insertion rates in New Brunswick, Canada. Methods All paediatric bilateral myringotomy and tube insertion cases from 1 July 2015 through 30 June 2021 were provided by New Brunswick Medicare. The numbers of otolaryngologists, cataract surgical procedures, total hip arthroplasties and thyroidectomies were collected to assess the availability of operating theatres and otolaryngologists. Negative binomial logarithmic regressions were used for analyses. Results Of the 5175 paediatric bilateral myringotomy and tube insertion cases that were included, the bilateral myringotomy and tube insertion rate significantly decreased by 2.9 times (p < 0.001) during the pandemic. Thyroidectomies, cataract surgical procedures and total hip arthroplasties did not significantly decrease. The number of otolaryngologists increased (20 vs 16–17). Conclusion Paediatric bilateral myringotomy and tube insertion rates significantly decreased during the pandemic. This cannot be accounted for by reduced otolaryngologists or operating theatre availability. The paediatric bilateral myringotomy and tube insertion rate decrease is likely due to public health measures reducing the transmission of upper respiratory tract infections, resulting in fewer indications for paediatric bilateral myringotomy and tube insertion.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".