Validating Self-Report Measures of Pain and Function in Patients Undergoing Hip or Knee Arthroplasty
Bibliographic record
Abstract
PURPOSE: To investigate the factorial and construct validity of a four-item pain intensity scale, the P4, in patients awaiting primary total hip or knee arthroplasty secondary to osteoarthritis. METHOD: A construct validation design was applied to a sample of convenience of 117 patients (mean age 65.6 [SD = 11.2] years) at their preoperative visit. All patients completed the P4 and the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Exploratory and confirmatory factor analyses were used to examine the factorial structure of the P4 and WOMAC. To evaluate construct validity, we examined the correlation between the P4 and WOMAC pain sub-scales and the ability of the P4 to differentiate between patients awaiting hip and knee replacement. RESULTS: Two distinct factors consistent with the themes of pain and function were identified with P4 and WOMAC physical function items, but not with the WOMAC pain and physical function items. The P4 correlates more with the WOMAC pain scores (r = 0.67) than with the WOMAC physical function scores (r = 0.60). CONCLUSION: The P4's validity was supported in this patient group. The use of the P4 with the WOMAC physical function sub-scale provides a more distinct assessment of pain and function than the WOMAC pain and physical function scales.
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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 | 0.005 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".