Cognitive Orientation to daily Occupational Performance Approach with children with Dravet syndrome using a telerehabilitation format: A single subject study
Bibliographic record
Abstract
INTRODUCTION: Dravet syndrome (DS) is a severe form of epilepsy that affects a child's cognitive, language, behavioral, and physical abilities, leading to reduced adaptive functioning. Despite its impact, there is limited evidence supporting effective interventions for these children, particularly in addressing their occupational performance. OBJECTIVE: To explore the effectiveness of the Cognitive Orientation to Daily Occupational Performance (CO-OP) approach in a telerehabilitation format for children with DS. METHODS: A single-subject design with multiple baselines across goals was used with four children (aged 9-13 years) with DS, who received eight online CO-OP sessions. Five goals were set using the Canadian Occupational Performance Measure (COPM), three of which were targeted in the intervention. Activity performance was rated using the Performance Quality Rating Scale (PQRS) and analyzed using the 3SD band method. Children and parents rated perceived performance and satisfaction on the COPM. Secondary outcomes included parents' sense of competency, children's adaptive behavior, and quality of life. RESULTS: Significant improvements in PQRS scores were seen for 8 of the 12 trained goals and 3 of the 7 untrained (transfer) goals. COPM scores showed changes greater than 2 points in both children's and parents' perceived performance and satisfaction for trained and untrained goals. Improvements were also noted on the secondary measures for 3 of 4 participants. CONCLUSION: These findings provide preliminary evidence that the CO-OP approach in a telerehabilitation format improves both trained and untrained goals, with a positive effect on parent self-efficacy, adaptive functioning, and quality of life. Further research is needed to confirm these results.
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.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".