The Design, Implementation, and Evaluation of a Physiotherapist-Led Clinic for Orthopedic Surveillance for Children with Cerebral Palsy
Bibliographic record
Abstract
AIM: To describe the development process and the evaluation results of a new physiotherapy-led clinic for orthopedic monitoring of secondary impairments for children with cerebral palsy (CP). METHODS: A new clinic model was developed and implemented, guided by the Framework for the Development of Advanced Practice Roles and the Model for Improvement. Patient visits and wait-time statistics were measured during the implementation phase. Once implemented, an evaluation of the clinic model objectives was conducted. The Visit Specific Satisfaction (VSQ-9) Instrument and the Measure of Processes of Care (MPOC-20) questionnaire measured parent satisfaction, while the Collaboration and Satisfaction about Care Decisions (CSACD) surveyed staff's satisfaction. Means and frequencies described the data, and the Mann-Wittney U test was used to compare the VSQ-9 and MPOC-20 scores of the physiotherapist-led and the traditional physician-led model. RESULTS: Ninety-eight additional children were seen in 1 year. Mean wait time decreased by 930 days. No statistically significant difference was demonstrated in the VSQ-9 total score (p =.84) or any of the five MPOC-20 subscales (Enabling and Partnership: p =.55; Providing General Information: p =.99; Providing Specific Information: p =.46; Coordinated and Comprehensive Care for the Child and Family: p =.33; Respective and Supportive Care: p =.86) when the two models were compared. Physiotherapist-led clinic staff members were satisfied with physician collaboration. CONCLUSIONS: A physiotherapist-led clinic model for orthopedic monitoring provides increased access to service for children with CP and their families without compromising the perceived quality of care.
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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 | 0.001 | 0.000 |
| 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".