Implementation of a group physical therapy program for Veterans with knee osteoarthritis
Bibliographic record
Abstract
BACKGROUND: A previous randomized clinical trial found that a Group Physical Therapy (PT) program for knee osteoarthritis yielded similar improvements in pain and function compared with traditional individual PT. Based on these findings the Group PT program was implemented in a Department of Veterans Affairs Health Care System. The objective of this study was to evaluate implementation metrics and changes in patient-level measures following implementation of the Group PT program. METHODS: This was a one-year prospective observational study. The Group PT program involved 6 weekly sessions. Implementation metrics included numbers of referrals and completed sessions. Patient-level measures were collected at the first and last PT sessions and included the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC; self-report of pain, stiffness and function (range 0-96)) and a 30-s chair rise test. RESULTS: During the evaluation period, 152 patients were referred, 80 had an initial session scheduled, 71 completed at least one session and 49 completed at least 5 sessions. The mean number of completed appointments per patient was 4.1. Among patients completing baseline and follow-up measures, WOMAC scores (n = 33) improved from 56.8 (SD = 15.8) to 46.9 (SD = 14.0); number of chair rises (n = 38) completed in 30 s increased from 10.4 (SD = 5.1) to 11.9 (SD = 5.0). CONCLUSIONS: Patients completing the Group PT program in this implementation phase showed clinically relevant improvements comparable to those observed in the previous clinical trial that compared group and individual PT for knee osteoarthritis. These results are important because Group PT can improve efficiency and access compared with individual PT. However, there were some limitations with respect to attendance and completion rates, and program adaptations may be needed to optimize these implementation metrics. Larger, longer-term studies are required to more fully evaluate the effectiveness of this program.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".