Pandemic planning in pediatric care: A website policy review and national survey data
Bibliographic record
Abstract
Objectives: This study investigates current policies, key issues, and needs for pandemic planning in pediatrics in Canada. Methods: Online pandemic plans from national, provincial and territorial government websites were reviewed to identify: plans for children and families, and psychosocial and ethical issues. A survey was administered to gather participants' perspectives on the needs in pediatric planning, as well as important elements of their organizations' and regions' pandemic plans. A thematic analysis was conducted on qualitative survey responses. Results: The majority of existing plans did not adequately address the unique needs of pediatric populations, and mainly focused on medical and policy concerns. Several gaps in plans were identified, including the need for psychosocial supports and ethical decision-making frameworks for children and families. Similarly, survey respondents identified parallel gaps, in their organization's or region's plans. Conclusions: Although many plans provide guidelines for medical and policy issues in pediatrics, much more work remains in psychosocial and ethical planning. A focus on children and families is needed for pandemic planning in pediatrics to ensure best outcomes for children and families.
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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 | 0.047 | 0.122 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.016 | 0.040 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".