Test the reliability and comparability of the paper version and electronic version of the Western Ontario and McMaster University Osteoarthritis Index in Chinese language: a randomized, cross-sectional study
Bibliographic record
Abstract
BACKGROUND: The electronic Western Ontario and McMaster University Osteoarthritis Index (e-WOMAC) is widely used for clinical evaluation of joint diseases. However, its validation and application in China remain limited. This study aimed to test and compare the reliability and comparability of the paper version (p-WOMAC) and electronic version (e-WOMAC) of WOMAC in Chinese patients with knee osteoarthritis (KOA). OBJECTIVE: The study aims to provide valuable evidence on the feasibility and reliability of using electronic assessment tools to evaluate knee osteoarthritis (KOA) in the Chinese population through a rigorous evaluation of two versions of the WOMAC index. METHODS: A total of 70 patients with KOA were recruited from the Orthopedic Outpatient Department of Shuguang Hospital and randomly assigned to group A or group B. Group A completed the p-WOMAC first, followed by e-WOMAC 15 min later, while group B completed the assessments in the reverse order. A cross-design analysis of variance, intraclass correlation coefficient (ICC) analysis, and Bland-Altman analysis were performed to compare the differences and consistency between the two versions. RESULTS: Among the 70 participants, no significant demographic differences were observed between the groups (P > 0.05). The stage of administration and assessment method did not result in significant differences in individual or total scores between p-WOMAC and e-WOMAC (P > 0.05). Both formats demonstrated excellent reliability, with ICC values exceeding 0.96 for all subscales (pain, stiffness, and function). The Bland-Altman analysis showed that the absolute differences between p-WOMAC and e-WOMAC scores were within acceptable ranges: 12.4 for total score, 3.7 for pain, 1.49 for stiffness, and 10.2 for function, with mean differences of - 1.5, - 0.3, - 0.18, and - 1.0, respectively. Only a small proportion of participants (2.86% to 5.71%) had scores outside the 95% limits of agreement (LoA). CONCLUSIONS: This study confirms the reliability and equivalence of the e-WOMAC compared to the p-WOMAC in Chinese patients with KOA, supporting its use in clinical management and research. Key Points • First validation of the Chinese e-WOMAC confirms equivalence to the paper version in KOA patients, addressing a critical digital health gap in China. • High patient preference for e-WOMAC underscores its feasibility for clinical integration, aligning with global digital healthcare advancements.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Randomized trial | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Randomized trial | high |
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".