Telemedicine Applied to Kinesiotherapy for Hand Dysfunction in Patients with Systemic Sclerosis and Rheumatoid Arthritis: Recovery of Movement and Telemonitoring Technology
Bibliographic record
Abstract
OBJECTIVE: To describe a feasibility study focused on a telemonitoring approach to self-managed kinesiotherapy sessions for the rehabilitation of hand function in patients with systemic sclerosis (SSc) and rheumatoid arthritis (RA). METHODS: Ten patients with SSc and 10 with RA were enrolled in a 3-month controlled trial (approval no. 9751/2012 - Italian Department of Health) to perform a home kinesiotherapy protocol, consisting of strengthening and mobility exercises, using a newly developed telemedicine system (a portable device and the related telemonitoring infrastructure). A further 10 patients with SSc and 10 with RA were enrolled as controls to perform a similar home kinesiotherapy protocol with the aid of common daily-life objects. Both groups were evaluated at baseline and at followup, after 6 and 12 weeks. The primary outcome of the trial was hand function measured by Dreiser's index (Functional Index for Hand OA, FIHOA), Health Assessment Questionnaire (HAQ), and the Hand Mobility in Scleroderma (HAMIS) test (only for SSc). RESULTS: Patients with SSc showed an improvement of FIHOA in both arms (p < 0.01) but the HAQ (p = 0.016) and the HAMIS test (right hand p = 0.016, left hand p = 0.075) improved significantly only in the experimental arm. Patients with RA showed a statistically significant improvement of FIHOA (p = 0.013) and HAQ (p = 0.015) in the experimental arm, while patients in the control arm did not significantly improve. However, no statistically significant differences in outcome measures between treatment methods were observed. Withdrawals were higher in control arms (SSc 20%; RA 30%) than in experimental arms (SSc 10%; RA 10%). CONCLUSION: Telemonitoring of self-administered kinesiotherapy programs is a promising approach to the rehabilitation of hand functions in patients with rheumatic disease.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".