Primary Knee OA: Rethinking Intra-articular Pain Management
Bibliographic record
Abstract
Primary knee osteoarthritis is a common diagnosis found in people over 65 years of age. As a progressive disease, the burden on daily life is significant. Typically, patients complain of knee pain, stiffness, and swelling which worsens after prolonged sitting resulting in reduced participation in activities of daily living. Locally, many patients with symptomatic knee OA are seen at a geriatric primary care clinic in West El Paso, Texas. Current practice in the clinic was to use methylprednisolone acetate 40 mg and referral to physical therapy for patients 65 years or older when the treatment plan included an intra-articular injection. This project was undertaken to identify the optimal corticosteroid and exercise regimen for patients 65 years or older with symptomatic primary knee osteoarthritis, and then implement and evaluate the regimen. The methods for this quality improvement project use the RE-AIM Framework (Reach, Effectiveness, Adoption, Implementation, and Maintenance) which is an effective and common tool to adequately translate evidence into practice. The PDSA (Plan, Do, Study, Act) Cycle was also used to test the change that was implemented into practice. The validated pain score tool, WOMAC (Western Ontario and McMaster’s Universities Arthritis) Index was utilized to monitor patients’ pain pre- and post-intervention. The use of triamcinolone acetonide for the intra-articular injection accompanied by provider-taught land-based exercises with repeat back demonstration were two high-evidence modalities in treating knee osteoarthritis that were put into practice for this quality improvement project. A total of 13 patients met the criteria for this quality improvement intervention during a seven-week project timeline. The main findings demonstrated approximately 87.5% pain improvement with the use of a lower soluble corticosteroid. Lastly, 61% of the patients were still performing the land-based exercises at the end of the seven weeks. The dual practice change to a lower soluble corticosteroid and provider-taught exercises proved to be highly effective.
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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 | 0.035 | 0.050 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".