Transitions Theatre: An Arts-Informed Interprofessional Education Workshop
Bibliographic record
Abstract
Introduction: Transition from pediatric to adult care has significant implications for health outcomes in youth with special health care needs. To optimally support the transition, health care and social service providers must work collaboratively with youth and families in service planning, implementation, and evaluation. Based on interviews with 15 youth and their families, we developed an arts-informed interprofessional education activity titled Transitions Theatre using the method of readers’ theater. Methods: Three educators with lived experience (one former pediatric rehabilitation client and two parents of youth with special health care needs) and three academic/clinical educators codesigned the transitions. We conducted four online workshops (14–20 participants each). Results: A total of 67 people participated: 59 students from 11 health disciplines and seven postlicensure clinicians and one trainee from five disciplines (e.g., occupational therapy, life skills coaching, early childhood education). Twenty-six participants answered both pre- and postworkshop surveys and reported a positive shift in their understanding of client and family perspectives, their roles in transition support, and other providers’ roles in transition support. After the workshop, learners felt more confident with transition support and interprofessional collaboration. The perspectives of the educators with lived experience aligned with the theater scripts and enhanced learners’ empathetic engagement with the topic. Discussion: The evidence-based teaching approach of readers’ theater and our coteaching model offered learners a unique opportunity to learn about the challenges clients and their families face at the time of transition to adulthood and identify their role in an interprofessional transition support.
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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 | 0.011 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.016 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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".