Psychosocial and Service Delivery Impacts of the COVID-19 Pandemic on Children With Respiratory Conditions, Their Parents and Their Health Care Providers
Bibliographic record
Abstract
The COVID-19 pandemic imposed widespread impacts on the health and well-being of children with respiratory challenges and their families, as well as on the health care system that supports them. An exploratory qualitative study was undertaken to examine how the pandemic impacted families' and health care providers' daily lives and experiences of care. Four youth, 12 parents and 7 health care providers participated in interviews via telephone or online technology. Content analysis of transcribed interviews revealed participant experiences, including initial responses to the pandemic, adjustment to pandemic shifts, and anticipation of the future. While deleterious physical health impacts were minimal for children with pre-existing respiratory conditions, their mental health was negatively impacted by the pandemic and related health protocols. Families and health care providers experienced strain, yet demonstrated resilience. Pandemic-related shifts profoundly impacted daily life at home, school, and work. Pediatric pandemic planning in clinical care is recommended to better address the needs of children with respiratory conditions and their families as well as pediatric health care providers.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.004 |
| 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".