Feasibility and preliminary effects of a tele-prehabilitation program and an in-person prehablitation program compared to usual care for total hip or knee arthroplasty candidates: a pilot randomized controlled trial
Bibliographic record
Abstract
Purpose: Prolonged wait times for total hip and knee arthroplasty have deleterious effects on functional status for the awaiting patients. Telerehabilitation interventions can optimize the delivery of perioperative care. This pilot single-blind randomized controlled trial evaluates the feasibility and the potential impact on pain and disability of a telerehabilitation prehabilitation program, compared to in-person prehabilitation or usual care.Material and methods: Thirty-four patients awaiting a total hip or knee arthroplasty were randomly assigned to (1) an in-person 12-week prehabilitation program, (2) a tele-prehabilitation program or (3) usual care. Outcomes were feasibility, patients’ acceptance and compliance to the program, the LEFS, the WOMAC, SF-36, the Self-Pace Walk, the Stair Test, the Timed Up and Go, and a Global Rating of Change scale. Outcomes were collected at baseline and after 12 weeks.Results: Participants reported excellent satisfaction toward tele-prehabilitation. Compliance with the programs was high. No significant differences between groups were found for self-reported outcomes after the prehabilitation program (p ≥ 0.05).Conclusion: This pilot study suggests that tele-prehabilitation can be feasible using commercially available mobile technologies with patients awaiting total hip or knee arthroplasty, and can generate good satisfaction with this population. Further evaluation is warranted through a formal fully powered randomized controlled trial.Trial registration: ClinicalTrials.gov #NCT02636751Implications for RehabilitationProlonged wait times have deleterious effects on patients awaiting a total hip or knee arthroplasty.Prehabilitation interventions can optimize the delivery of perioperative care, but accessibility to such interventions can be limited by geographic situation, lack of transportation and financial issues.Using video conferencing mobile technologies can help overcome those obstacles.Tele-prehabilitation using mobile technology appears safe, feasible and generates good satisfaction with subjects awaiting a total hip or knee arthroplasty.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".