A Web-Based Platform for Patients With Osteoarthritis of the Hip and Knee: A Pilot Study
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Chronic conditions are the leading cause of disability throughout the world and the most expensive problem facing the health care systems. One such chronic condition is osteoarthritis (OA), a frequent cause of major disability. OBJECTIVE: To describe the effect on joint pain for the first users of a newly developed Web-based osteoarthritis self-managing program, Joint Academy, and to examine whether these patients would recommend other OA patients to use the program. METHODS: Patients with clinically established knee or hip OA according to national and international guidelines were recruited from an online advertisement. A trained physiotherapist screened the eligible patients by scrutinizing their answers to a standardized questionnaire. The 6-week program consisted of eight 2- to 5-minute videos with lectures about OA, effects of physical activity, self-management, and coping strategies. In addition, exercises to improve lower extremity physical function were introduced in daily video activities. During the course of the program, communication between physiotherapist and patients was based on an asynchronous chat. After 6 weeks, patients were able to continue without support from the physiotherapist. Patients reported their current pain weekly by using a numeric rating scale (range 0-10; 0=no pain, 10=worst possible pain) as long as they were in the program. In addition, after 6 weeks patients answered the question "What is the probability that you would recommend Joint Academy to a friend?" RESULTS: The eligible cohort consisted of 53 individuals (39 women; body mass index: mean 27, SD 5; age: mean 57, SD 14 years). With the continued use of the program, patients reported a constant change in pain score from mean 5.1 (SD 2.1) at baseline to mean 3.6 (SD 2.0) at week 12. Six patients participated for 30 weeks (mean 3.2, SD 2.1). Overall, the patients would highly recommend Joint Academy to other OA patients, suggesting that the platform may be useful for at least some in the vast OA population. CONCLUSIONS: Joint Academy, a Web-based platform for OA therapy, has the potential to successfully deliver individualized online treatment to many patients with OA that presently lack access to treatment.
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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 it