Multidisciplinary Home-Based Rehabilitation Program for Individuals With Disabilities: Longitudinal Observational Study
Bibliographic record
Abstract
BACKGROUND: Disability affects a significant portion of the global population nowadays, necessitating innovative approaches to access rehabilitation processes. Home-based rehabilitation has emerged as a beneficial approach, offering comfort and context-specific therapy. OBJECTIVE: This study aims to evaluate the impact of a multidisciplinary home-based rehabilitation program for individuals with moderate neuromusculoskeletal disabilities in terms of motor function and mood. METHODS: A total of 270 participants with median age of 66 (IQR 20-98) years were recruited from the National Disability Registry of Chile. The intervention involved a multidisciplinary team composed of 49 health care professionals providing personalized treatment plans over 4 months (32 sessions for physical therapy, 8 sessions for occupational therapy, 4 sessions for nutrition, 8 sessions for psychology, and 4 sessions for nursing and podiatry). This program also included 2 medical evaluations (at the beginning and the end) to monitor clinical progress in terms of motor function and mental health, using the Berg Balance Scale and Beck Depression Inventory, respectively. RESULTS: The home-based rehabilitation program showed significant improvements (P<.001) in motor function and balance with a reduction in fall risk. Specifically, the Berg Balance Scale score decreased close to 15% after the home-based rehabilitation program for all enrolled participants. On the other hand, depression levels showed no significant changes (P=.27), with percentages of variation less than 8% between the 2 assessed conditions. In this sense, participants remained with the same mild depression level (14 of 63) concerning the Beck Depression Inventory score. CONCLUSIONS: This study concludes that personalized home-based rehabilitation programs are effective in enhancing motor function and balance, particularly in individuals with neurological conditions. On the other hand, the findings in terms of mood advocate for further exploration of psychological support within such programs to enhance overall patient well-being. TRIAL REGISTRATION: ClinicalTrials.gov NCT06537791; https://clinicaltrials.gov/study/NCT06537791.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".