Moving from the clinic to telehealth during the COVID-19 pandemic – a pilot clinical trial comparing in-clinic rehabilitation versus telerehabilitation for persisting symptoms following a mild Traumatic brain injury
Bibliographic record
Abstract
Purpose The objective of this study was to compare the effects of an in-clinic cervicovestibular rehabilitation program (education, home exercises, manual techniques, sub-symptom threshold aerobic exercise [STAE] program) to a similar program (education, home-exercises, STAE program), but without manual techniques, provided in a telerehabilitation format in adults with persisting post-concussion symptoms (PCS).Materials and methods design In this parallel-group non-randomized clinical trial, 41 adults with persisting PCS were allocated to the in-clinic (n = 30) or telerehabilitation (n = 11) program. The outcome measures, which included the Post-Concussion Symptom Scale (PCSS; primary outcome), Numerical Pain Rating Scale (NPRS) for neck pain and headache and three disability questionnaires, were collected at baseline, weeks 6, 12, and 26. Non-parametric analysis for longitudinal data (NparLD) was used.Results For the PCSS, there was a group-by-time interaction (p = 0.05) with significant between-group differences at week 6, 12, and 26 (p < 0.05) for the in-clinic group. There were also group-by-time interactions for NPRS neck pain and headache (p < 0.05) for the in-clinic group.Conclusion The study suggests that a telehealth format failed to reach the efficiency of an in-clinic rehabilitation program in terms of symptoms reduction and functional improvement. These results must be interpreted with caution given the limited number of participants. ClinicalTrials.gov Identifier: NCT03677661.IMPLICATION FOR REHABILITATIONThe telerehabilitation format for adults with persisting post-concussion symptoms was widely implemented in the COVID-19 pandemic without any evidence of efficacy over the more traditional in-clinic rehabilitation format.The study suggests that a telerehabilitation format failed to reach the efficiency of an in-clinic rehabilitation program in terms of symptoms reduction and functional improvement.Clinicians should try to incorporate some in-clinic appointments when a telerehabilitation format is required such as for patients in underserved area.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".