Co-Designing Video Welcome Tours with Children in Paediatric Healthcare
Bibliographic record
Abstract
Best practices in sharing information with children is scarce in a healthcare environment, and there is limited literature that involves children as co-designers of their own information. To demystify the hospital space for child clients and their families, a co-design project was conducted and designed with two research questions: (1) How can paediatric hospitals produce meaningful information designed by children, for children? (2) What are some best practices for co-designing with children with disabilities in healthcare settings? This study’s aim was to produce a video tour of Holland Bloorview Kids Rehabilitation Hospital that is co-designed by children in the disability community, for children in the disability community. The ability to assess the co-design process reflexively helped to identify practices that can inform and guide similar paediatric co-design in the future. The need for projects that are co-created and accessible online have risen. Co-created healthcare projects that centre the voices of the young disability community are feasible, applicable, and impactful, and this population should not be overlooked or unrecognized. Through this study, a template and resources are provided for healthcare systems to easily implement their own unique co-design sessions with young participants.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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".