Supporting parents of Aboriginal children with asthma: Preferences and pilot interventions
Bibliographic record
Abstract
Asthma is one of the most common chronic conditions affecting Aboriginal children and adolescents in Canada, with associated high rates of hospitalization and emergency room visits. Social support deficits and social isolation pose significant problems for Aboriginal families coping with asthma challenges. However, support interventions that focus on the unique support needs of parents of Aboriginal children affected by asthma have not been investigated. Consequently, our study introduced support interventions to meet parents’ perceived support needs and intervention preferences. The study was conducted in urban and rural sites in three Canadian provinces. The interdisciplinary research team encompassed Aboriginal researchers and knowledge users, and the multimethod participatory research design was guided by Aboriginal community advisory committees. Diverse support interventions, designed to address the particular preferences and needs of parents in specific communities, were offered. Seventy-seven parents participated. These parents reported expanded support resources, increased support seeking, improved coping skills, and decreased support and education needs following the interventions, which were tailored to their unique needs. These participatory interventions were considered accessible, acceptable, relevant, and useful by parents.
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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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".