Telerehabilitation for the Evaluation and Management of a Dizzy Patient: A Mini-Review
Bibliographic record
Abstract
Dizziness and vertigo are common, disabling symptoms, especially in older adults. They can negatively affect quality of life and independence of the person. Vestibular rehabilitation is a key treatment, but access is often limited by physical, geographic, and socioeconomic factors. Telerehabilitation has emerged as a viable alternative, particularly during the COVID-19 pandemic. This mini review synthesizes available evidence on vestibular telerehabilitation, focussing on feasibility, delivery methods, outcomes, and future directions. We have included commonly used outcomes measures like balance, gait, gaze stability, dizziness, psychological health, and quality of life. Findings suggest telerehabilitation is an effective alternative to in-person therapy. However, further research is needed to standardize protocols, evaluate cognitive outcomes, and ensure inclusivity across diverse populations. Digital innovations are a promising options for more accessible, patient-centered vestibular care.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".