Quality of Care for Knee Osteoarthritis in Primary Care: A Patient’s Perspective
Bibliographic record
Abstract
OBJECTIVE: To describe the quality of osteoarthritis care in general practice from a patient's perspective and to identify novel associations between process quality indicators and patient-reported outcome and experience measures. METHODS: For this study, 235 individuals with knee osteoarthritis completed a survey based on both process and outcome indicators. Process indicators were extracted from international guidelines and included the domains: diagnosis, self-management, treatment, and follow-up. The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) and RAND 36-item Short Form health survey (SF-36) were used to assess patient-reported outcomes. Patient-reported experience with care was evaluated with the European Task Force on Patient Evaluations of General Practice Care (EUROPEP) instrument. A series of multilevel regression analyses were then performed to analyze determinants at the patient level (i.e., age, sex, body mass index, and education) and associations between process and outcome indicators. RESULTS: Overall, low adherence to the process indicators was observed (38%), particularly on informing patients about the importance of weight loss (24% [95% confidence interval (95% CI) 19-31]) or referring them for physical therapy (41% [95% CI 33-49]). Patients described their quality of life as moderate, with an overall score of 63% and 35% on the SF-36 and WOMAC surveys, respectively. Regarding the determinants, patients with a higher education level were better informed (odds ratio [OR] 3.4; P = 0.0003). Associations between process and outcome indicators were scarce, with the exception of patient satisfaction with care and use of nonsteroidal antiinflammatory drugs (NSAIDs) (OR 2.9; P = 0.0014). CONCLUSION: Patients with knee osteoarthritis receive suboptimal conservative management. They report a moderate quality of life. This study confirms the evidence suggesting that NSAIDs are the backbone of osteoarthritis pain management but also adds evidence from a patient's perspective.
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".