TY - JOUR
T1 - Linking Hip Disability and Osteoarthritis Outcome Score-Physical Function Short Form and PROMIS Physical Function
AU - Heng, Marilyn
AU - Stern, Brocha Z.
AU - Tang, Xiaodan
AU - Schalet, Benjamin D.
AU - Collins, Austin K.
AU - Chen, Antonia F.
AU - Bedair, Hany S.
AU - O'Brien, Todd M.
AU - Sisodia, Rachel C.
AU - Franklin, Patricia D.
AU - Cella, David
N1 - Funding Information:
Stern's time for manuscript preparation was supported by a grant from the National Institute on Disability, Independent Living, and Rehabilitation Research (#90ARHF0003, PI: Heinemann). The contents of this manuscript do not necessarily represent the policy of the funding agency, and you should not assume endorsement by the federal government.
Publisher Copyright:
© American Academy of Orthopaedic Surgeons.
PY - 2022/8/1
Y1 - 2022/8/1
N2 - 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.
AB - 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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U2 - 10.5435/JAAOS-D-21-00736
DO - 10.5435/JAAOS-D-21-00736
M3 - Article
C2 - 35476824
AN - SCOPUS:85134790121
SN - 1067-151X
VL - 30
SP - E1043-E1050
JO - Journal of the American Academy of Orthopaedic Surgeons
JF - Journal of the American Academy of Orthopaedic Surgeons
IS - 15
ER -