Designing strategies to support Implementation of iNtensive Therapy for Early Reach through PLAY (INTERPLAY) for young children with cerebral palsy: a study protocol
Bibliographic record
Abstract
BACKGROUND: Intensive manual therapy is important for improving lifelong upper limb motor outcomes for infants and toddlers with cerebral palsy. This play-based therapy is delivered by caregivers who are coached by occupational therapists. However, access to this therapy is very limited for Canadian children with cerebral palsy younger than two years old. This project aims to first identify barriers and facilitators and then design implementation strategies to support early intensive manual therapy delivery for infants and toddlers with cerebral palsy across Canada. METHODS: A mixed-methods sequential explanatory design will be used with four consecutive phases. The updated Consolidated Framework for Implementation Research will guide the study. Quantitative data will be collected from a survey in Phase One. Participants will be recruited from three groups: (1) Caregivers of children with cerebral palsy six years old and younger who are eligible for manual therapy; (2) occupational therapists who treat children with cerebral palsy; and (3) healthcare administrators or people responsible for managing pediatric occupational therapy programs. In Phase Two, quantitative data from the survey will be used to map to implementation strategies known to be effective at addressing the identified modifiable barriers and facilitators. Phase Three will collect qualitative data from semi-structured interviews for the purpose of explaining Phase One quantitative findings in greater depth, and for understanding the appropriateness of strategies identified in Phase Two. The participant recruitment strategy and interview guide content for Phase Three will be informed by results of Phase One. Phase Four will use a modified nominal group technique to refine and prioritize an implementation strategy toolbox. Results will be widely disseminated to knowledge users to provide them with tailorable strategies to increase delivery of early intensive manual interventions. DISCUSSION: This study will provide a comprehensive understanding of the barriers and facilitators to implementation of early intensive manual therapy for young children with cerebral palsy in Canada. A toolbox of evidence-based and tailorable implementation strategies will be disseminated nationally to support uptake of early intensive manual therapy into clinical practice for young children with cerebral palsy.
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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 | 0.043 | 0.035 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.021 | 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".