‘Kids need to talk too’: inclusive practices for children's healthcare education and participation
Bibliographic record
Abstract
AIMS AND OBJECTIVES: To examine how children with chronic medical conditions view healthcare education and decision-making and to propose the application of the universal design for learning in paediatric settings. BACKGROUND: Children and adolescents with chronic medical conditions tend to be excluded from healthcare decision-making. In schools, the universal design for learning promotes access to education and participation in school communities for all children, regardless of their disabilities or medical needs, rendering it an appropriate model for children's participation in healthcare decision-making. DESIGN: This article presents findings from a qualitative study with 26 children and adolescents with chronic medical conditions about their views and experiences with healthcare education and decision-making. METHODS: Twenty-six children and adolescents with chronic medical conditions were interviewed using semi-structured interviews. RESULTS: Findings provide evidence that clinical practices often fail to provide equal opportunities for paediatric patients to understand their condition, share their views and/or participate in decisions regarding their care. CONCLUSIONS: In response to ongoing concerns about paediatric decision-making, we propose that the universal design for learning be adapted in paediatrics. The model presents exemplary programmes as inclusive, accounting for the needs of all children through multiple means of engagement and expression. RELEVANCE TO CLINICAL PRACTICE: A discussion of how the principles of universal design for learning could be applied in paediatric settings is offered for the purpose of advancing ethical and psychosocial care for all children regardless of their age, developmental capacity or condition.
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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 | 0.002 | 0.016 |
| 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".