COMPARISON OF TELEREHABILITATION VS. CLINICAL SETUP REHABILITATION IN TKR PATIENTS
Bibliographic record
Abstract
Background: Osteoarthritis (OA) of the knee is a common condition among older adults, often leading to significant pain and disability. Total knee replacement (TKR) is frequently recommended for severe cases to alleviate symptoms and restore function. However, effective post-operative rehabilitation is crucial to maximize recovery outcomes and improve quality of life. Telerehabilitation is emerging as an accessible alternative to conventional physiotherapy, potentially enhancing patient adherence and functional outcomes while minimizing the need for in-person visits. Objective: To evaluate the effectiveness of telerehabilitation compared to conventional physiotherapy in improving knee function and patient outcomes following TKR. Methods: A randomized controlled trial was conducted at Horizon Hospital in Lahore, including 36 participants aged over 65 years, all of whom had undergone TKR. Participants were randomly assigned to either Group A (telerehabilitation) or Group B (conventional clinical therapy), with 18 individuals in each group. Data collection tools included the Knee Outcome Survey-Activities of Daily Living (KOS-ADLS) and the Western Ontario and McMaster Universities Osteoarthritis (WOMAC) surveys, supplemented by electronic goniometer measurements of knee flexion and extension. Assessments were conducted at baseline and at the fourth week to compare outcomes statistically between the two groups. Results: In the fourth week, Group A (telerehabilitation) showed significantly better outcomes in knee function and pain management compared to Group B (conventional therapy). KOOS-ADL scores improved significantly in Group A (p = 0.001) compared to Group B. WOMAC scores also demonstrated significant improvement in Group A (p = 0.000). Furthermore, knee flexion increased substantially for Group A, reaching 121.1° (p = 0.031), and knee extension deficit reduced to 2.6° (p = 0.028). Conclusion: Telerehabilitation is an effective post-operative intervention for TKR, enhancing knee function, reducing pain, and improving overall patient satisfaction. This approach provides a practical and accessible solution, particularly beneficial for older adults with limited mobility.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".