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Linking Hip Disability and Osteoarthritis Outcome Score-Physical Function Short Form and PROMIS Physical Function. | LitMetric

Linking Hip Disability and Osteoarthritis Outcome Score-Physical Function Short Form and PROMIS Physical Function.

J Am Acad Orthop Surg

From the Department of Orthopaedic Surgery, Massachusetts General Hospital, Boston, MA (Heng and Collins), Harvard Medical School, Boston, MA (Heng, Chen, Bedair, O'Brien, and Sisodia), Massachusetts General Physicians Organization, Boston, MA (Heng and Sisodia), Center for Education in Health Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL (Stern), the Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine (Tang, Schalet, Franklin, and Cella), the Department of Orthopaedic Surgery, Brigham and Women's Hospital, Boston, MA (Chen), the Department of Orthopaedic Surgery, Newton-Wellesley Hospital, Boston, MA (Bedair), the Department of Orthopaedic Surgery, MGB Salem Hospital, Salem, MA (O'Brien), and the Division of Gynecologic Oncology, Vincent Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA (Sisodia).

Published: August 2022

AI Article Synopsis

Article 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.

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Source
http://dx.doi.org/10.5435/JAAOS-D-21-00736DOI Listing

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