Telerehabilitation for addressing executive dysfunction after traumatic brain injury
Bibliographic record
Abstract
PRIMARY OBJECTIVE: To investigate the feasibility of implementing the Cognitive Orientation to daily Occupational Performance approach (CO-OP) in a telerehabilitation format and to examine its impact on community integration and executive dysfunction for adults with traumatic brain injury (TBI). RESEARCH DESIGN: A pilot series of three case studies with 3-month follow-up was conducted. METHODS AND PROCEDURES: Three adults (all males, >10 years post-TBI) and their significant others were recruited. The CO-OP intervention, a meta-cognitive approach, was delivered through videoconferencing via Internet to train three of five participant-identified goals. Two goals were not trained to allow examination of transfer. Outcome measures included the Canadian Occupational Performance Measure, the Mayo-Portland Adaptability Inventory-4 Participation Index, and the Dysexecutive Questionnaire. Descriptive statistical analysis was used. MAIN OUTCOMES AND RESULTS: The CO-OP approach administered in a telerehabilitation format was found to be feasible. All participants indicated self-reported improvement in both trained and untrained goals. Trends toward fewer symptoms of executive dysfunction and greater community integration were demonstrated. All participants expressed satisfaction with the Internet delivery method. CONCLUSIONS: Telerehabilitation shows promise as a way to deliver the CO-OP approach and may help promote community integration of individuals living with TBI. Further study is warranted.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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 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".