Concurrent evaluation of data quality, reliability and validity of the Australian/Canadian Osteoarthritis Hand Index and the Functional Index for Hand Osteoarthritis
Bibliographic record
Abstract
OBJECTIVES: Concurrent evaluation of data quality, internal consistency, test-retest reliability and validity of two patient-reported outcome measures (PROMs) for measuring functional impairment in hand OA (HOA); the Australian/Canadian Osteoarthritis Hand Index (AUSCAN; 15 items) and the Functional Index of HOA (FIHOA; 10 items). METHODS: Patients from an HOA cohort [n=128, mean age 68.6 (s.d. 5.8) years, 91% women] completed PROMs and performance measures during routine follow-up. One week later, a subsample (n=40) reporting no change on an HOA-specific transition question contributed with test-retest data. RESULTS: Both instruments had satisfactory levels of data quality, internal consistency, test-retest reliability and construct validity. The AUSCAN performed slightly better than the FIHOA relating to levels of missing data (0 vs 5%), floor effects, principal component analysis loadings (0.62-0.83 vs 0.52-0.83), item-total correlation (0.77-0.91 vs 0.45-0.76) and Cronbach's α (0.94-0.96 vs 0.90), respectively. AUSCAN items had slightly lower test-retest κ-values (0.29-0.77 vs FIHOA 0.41-0.77) and AUSCAN scales lower intra-class correlations (0.80-0.92 vs FIHOA 0.94). Correlations between the two instruments ranged from 0.58 to 0.88 for the AUSCAN scales of stiffness and physical function, respectively. AUSCAN physical function scale was generally slightly strongly correlated with the other PROMS and performance measures. CONCLUSION: The AUSCAN and the FIHOA are reliable and valid instruments suitable for measuring physical functioning in HOA. The FIHOA had higher test-retest reliability and is shorter, but the AUSCAN performed slightly better concerning data quality and construct validity.
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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 | 0.066 | 0.137 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| 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".