Abstract
Objectives: The Stanford Health Assessment Questionnaire Disability Index (HAQ-DI) is a widely used patient-reported outcome for functional disability in rheumatoid arthritis (RA). Minimal clinically important differences (MCIDs) in the HAQ-DI were previously calculated based on device-corrected ordinal HAQ-DI scores, leading to limited generalizability and validity for today’s patients. Our objectives were to examine the internal construct validity of the unadjusted HAQ-DI and to determine an MCID in a cohort of Danish RA patients based on the transformed linear logit scale of the HAQ-DI.
Method: The study included 362 RA patients registered in the DANBIO registry. The Rasch model was fitted to HAQ-DI data at baseline and after 3 months’ follow-up. MCID was calculated as the median changes in the original HAQ-DI score and logit HAQ-DI score in those patients who had experienced minimal improvement (15–30 mm on a 0–100 mm Patient Global scale).
Results: HAQ-DI data showed acceptable fit to the Rasch model at both time-points, and consistent item ranking across time indicated instrument invariance. Sixty-one patients (16.8%, ~1/6) had an improvement above the MCID on the logit scale but improvement below the MCID on the original scale, while the opposite was not the case for any patients.
Conclusions: The Danish unadjusted version of the HAQ-DI showed acceptable internal construct validity. Application of the logit MCID classified an additional one in six patients as having achieved an MCID compared to the MCID calculated on the ordinal scale, which may have potential implications for the powering of future studies.
Disclosure statement
No potential conflict of interest was reported by the authors.
Supporting Information
Additional Supporting Information may be found in the online version of this article.
Supplementary table S1. Item difficulty and fit indices at the two time points separately.
Supplementary table S2. Calibration of ordinal HAQ scores against linear Rasch transformed scores.
Supplementary figure S1. Item fit plots for baseline separately.
Supplementary figure S2. Item fit plots for follow-up separately.
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