Return to Meaningful Activities After a Multi-Modal Rehabilitation Programme among Individuals Who Experience Persistent Dizziness and Debility Longer Than 9 Months after Sustaining a Concussion: A Case Series
Bibliographic record
Abstract
Purpose: The authors explored changes in outcome measures and return to meaningful life activities in six individuals who participated in a home-based multi-modal rehabilitation programme to address persistent dizziness and debility that had continued for more than 9 months since a documented concussion. Methods: In a case series using a repeated-measures design, changes from pre- to post-treatment assessments were assessed after a 6-month intervention. The outcome measures used were the Rivermead Post-Concussion Symptoms Questionnaire's subsidiary scales (RPQ-3, RPQ-13), Dizziness Handicap Inventory (DHI), Activities-specific Balance Confidence Scale, Functional Gait Assessment, return to work or study, and return to activity. Results: Six months after the multi-modal rehabilitation programme, statistically significant differences were found on the RPQ-3 (p=0.026), RPQ-13 (p=0.037), and DHI (p=0.033). In addition, four participants had returned to their previous work, and all six participants had been able to return to physical activity. Conclusion: A supervised home programme, provided in the context of a multi-modal rehabilitation programme, has the potential to improve outcomes even when rehabilitative services are delayed and persistent concussion-related symptoms continue for a significant amount of time after the onset of a concussion.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".