Instruments Measuring Pain, Physical Function, or Patient’s Global Assessment in Hand Osteoarthritis: A Systematic Literature Search
Bibliographic record
Abstract
OBJECTIVE: Description of use and metric properties of instruments measuring pain, physical function, or patient's global assessment (PtGA) in hand osteoarthritis (OA). METHODS: Medical literature databases up to January 2014 were systematically reviewed for studies reporting on instruments measuring pain, physical function, or PtGA in hand OA. The frequency of the use of these instruments were described, as well as their metric properties, including discrimination (reliability, sensitivity to change), feasibility, and validity. RESULTS: In 66 included studies, various questionnaires and performance- or assessor-based instruments were applied for evaluation of pain, physical function, or PtGA. No major differences regarding metric properties were observed between the instruments, although the amount of supporting evidence varied. The most frequently evaluated questionnaires were the Australian/Canadian Hand OA Index (AUSCAN) pain subscale and visual analog scale (VAS) pain for pain assessment, and the AUSCAN function subscale and Functional Index for Hand OA (FIHOA) for physical function assessment. Excellent reliability was shown for the AUSCAN and FIHOA, and good sensitivity to change for all mentioned instruments; additionally, the FIHOA had good feasibility. Good construct validity was suggested for all mentioned questionnaires. The most commonly applied performance- or assessor-based instruments were the grip and pinch strength for the assessment of physical function, and the assessment of pain by palpation. For these measures, good sensitivity to change and construct validity were established. CONCLUSION: The AUSCAN, FIHOA, VAS pain, grip and pinch strength, and pain on palpation were most frequently used and provided most supporting evidence for good metric properties. More research has to be performed to compare the different instruments with each other.
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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 | 0.009 | 0.046 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.005 |
| Bibliometrics | 0.026 | 0.022 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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; 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".