Minimally Important Difference of Health Assessment Questionnaire in Psoriatic Arthritis: Relating Thresholds of Improvement in Functional Ability to Patient-rated Importance and Satisfaction
Bibliographic record
Abstract
OBJECTIVE: To evaluate changes in function as measured by Health Assessment Questionnaire Disability Index (HAQ-DI) and the meaningfulness of the changes, in importance and satisfaction, in patients with psoriatic arthritis (PsA). METHODS: HAQ-DI was assessed at baseline and at Weeks 4, 12, and 24 in a randomized double-blind study of 205 patients with active PsA receiving etanercept 25 mg twice weekly or placebo. Concurrently, patients rated the importance of and satisfaction with their change in function on a 7-point scale (1 = not at all important/satisfied; 7 = extremely important/satisfied). Mean HAQ-DI improvement corresponding to ratings of minimally (2-3) or very (6-7) important or satisfied was determined using a posthoc linear mixed-model analysis. Patient importance ratings were used as an anchor to estimate minimally important difference (MID) for HAQ-DI; distribution-based estimates were also calculated. RESULTS: A total of 161 patients (69 placebo; 92 etanercept) had ≥ 1 HAQ-DI scores showing improvement from baseline and a corresponding importance or satisfaction rating. HAQ-DI improvements corresponding to importance scale ratings of 2 or 3 were 0.335 (95% CI 0.214, 0.455) and 0.360 (95% CI 0.263, 0.456), respectively, suggesting an MID of about 0.35. HAQ-DI improvements corresponding to satisfaction scale ratings of 2 and 3 were 0.293 (95% CI 0.230, 0.357) and 0.360 (95% CI 0.307, 0.413). For a given change in HAQ-DI, nearly two-thirds of patients indicated a lower rating for satisfaction than for importance. This trial was registered in the ClinicalTrials.gov registry (NCT00317499). CONCLUSION: Our study suggests the MID for HAQ-DI in PsA is about 0.35. The results may also provide insight into patient satisfaction with changes in function and expectations for therapy.
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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 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".