Measuring quality in arthritis care: The Arthritis Foundation's Quality Indicator set for osteoarthritis
Bibliographic record
Abstract
OBJECTIVE: To develop a comprehensive set of explicit process measures to assess the quality of health care for osteoarthritis and to describe the scientific evidence that supports each measure. METHODS: Through a comprehensive literature review, we developed potential quality measures and a summary of existing data to support or refute the relationship between the processes of care proposed in the indicators and relevant clinical outcomes. The proposed measures and literature summary were presented to a multidisciplinary panel of experts in arthritis and pain. The panel rated each proposed measure for its validity as a measure of health care quality. RESULTS: Among 22 measures proposed for osteoarthritis, the expert panel rated 14 as valid measures of health care quality. CONCLUSION: Sufficient scientific evidence and expert consensus exist to support a comprehensive set of measures to assess the quality of heath care for osteoarthritis. These measures can be used to gain an understanding of the quality of care for patients with osteoarthritis.
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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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".