A Preliminary Study to Develop a Collaborative Tiered School-Based Physical Therapy Service Delivery Model: Results from an International Delphi Consultation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Physical therapy (PT) is increasingly provided at schools to help students participate in educationalactivities. Recent rehabilitation models emphasized the benefits of using collaborative tiered services for serviceprovision, yet no model is available to guide how these services should be delivered. Therefore, this study aims to determine the core attributes and PT interventions of a collaborative tiered school-based PT model that could guide how PT services are delivered in schools worldwide.Methods: A modified Delphi method was used to identify the core attributes and the PT interventions that would be part of the model. An introductory webinar followed by three Delphi rounds with 24 international experts was conducted. Similar ideas generated in Round 1 were combined into statements; the statements reaching the predetermined consensus level in Rounds 2 or 3 were retained. Categories were created to present core attributes and Tiered interventions that were retained.Results: 41 core attributes were identified and grouped under seven categories. Tiered interventions were grouped under 15 categories which included 37 interventions for Tier 1, 24 interventions for Tier 2, and 60 interventions for Tier 3.Conclusion: The recommended core attributes and interventions will support the development of an international framework for school-based PT services, fostering health promotion for all children, and supporting those with disabilities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 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 it