In-Home Telerehabilitation for Post-Knee Arthroplasty: A Pilot Study
Bibliographic record
Abstract
The purpose of this study was to investigate the efficacy of in-home telerehabilitation as an alternative to conventional rehabilitation services following knee arthroplasty. Five community-living elders who had knee arthroplasty were recruited prior to discharge from an acute care hospital. A pre/post-test design without a control group was used for this pilot study. Telerehabilitation sessions (16) were conducted by two trained physiotherapists from a service center to the patient's home using H264 videoconference CODECs (Tandberg 550 MXP) connected at 512 Kb\s. Disability (range of motion, balance and lower body strength) and function (locomotor performance in walking and functional autonomy) were measured in face-to-face evaluations prior to and at the end of the treatments by a neutral evaluator. The satisfaction of the health care professional and patient was measured by questionnaire. Results are as follows. One participant was lost during follow-up. Clinical outcomes improved for all subjects and improvements were sustained two months post-discharge from in-home telerehabilitation. The satisfaction of the participants with in-home telerehabilitation services was very high. The satisfaction of the health care professionals with the technology and the communication experience during the therapy sessions was similar or slightly lower. In conclusion, telerehabilitation for post-knee arthroplasty is a realistic alternative for dispensing rehabilitation services for patients discharged from an acute care hospital.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".