Linking Hip Disability and Osteoarthritis Outcome Score-Physical Function Short Form and PROMIS Physical Function. Issue 15 (1st August 2022)

• Record Type: Journal Article
• Authors: Heng, Marilyn; Stern, Brocha Z.; Tang, Xiaodan; Schalet, Benjamin D.; Collins, Austin K.; Chen, Antonia F.; Bedair, Hany S.; O'Brien, Todd M.; Sisodia, Rachel C.; Franklin, Patricia D.; Cella, David
• Is Part Of: Journal of the American Academy of Orthopaedic Surgeons. Volume 30:Issue 15(2022)
• Page Start: e1043
• Page End: e1050
• Publication Date: 2022-08-01
• Subjects: Orthopedics -- Periodicals; Orthopedic surgery -- Periodicals; Joint Diseases -- Periodicals; Orthopedics -- Periodicals; Orthopedic surgery; Orthopedics; Periodicals; 616.7005
• DOI: 10.5435/JAAOS-D-21-00736
• Languages: English
• ISSNs: 1067-151X

Abstract

Abstract : Introduction: Linking scores on patient-reported outcome measures can enable data aggregation for research, clinical care, and quality. We aimed to link scores on the Hip Disability and Osteoarthritis Outcome Score-Physical Function Short Form (HOOS-PS) and the Patient-reported Outcomes Measurement Information System Physical Function (PROMIS PF). Methods: A retrospective study was conducted from 2017 to 2020 evaluating patients with hip osteoarthritis who received routine clinical care from an orthopaedic surgeon. Our sample included 3, 382 unique patients with 7, 369 pairs of HOOS-PS and PROMIS PF measures completed at a single nonsurgical, preoperative, or postoperative time point. We included one randomly selected time point of scores for each patient in our linking analysis sample. We compared the accuracy of linking using four methods, including equipercentile and item response theory-based approaches. Results: PROMIS PF and HOOS-PS scores were strongly correlated ( r = −0.827 for raw HOOS-PS scores and r = 0.820 for summary HOOS-PS scores). The assumptions were met for equipercentile and item response theory approaches to linking. We selected the item response theory-based Stocking-Lord approach as the optimal crosswalk and estimated item parameters for the HOOS-PS items on the PROMIS metric. A sensitivity analysis demonstrated overall robustness of the crosswalk estimates in nonsurgical, preoperative, and postoperative patients. Conclusion: These crosswalks can be used to convert scores between HOOS-PS and PROMIS PF metric at the group level, which can be valuable for data aggregation. Conversion of individual patient-level data is not recommended secondary to increased risk of error.