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Crosswalks Between Patient-Reported Outcome Measures After Hip Arthroscopy.

Wyatt B David1, Hayden Sampson1, Zachary Brumm1

  • 1Department of Orthopedics, University of California, San Francisco, San Francisco, California, USA.

The American Journal of Sports Medicine
|February 16, 2026
PubMed
Summary

Statistical crosswalks were developed to convert between Hip disability and Osteoarthritis Outcome Score (HOOS) and modified Harris Hip Score (mHHS) for hip arthroscopy patients. This enables better data comparison for femoroacetabular impingement syndrome (FAIS) treatment outcomes.

Keywords:
HOOSequipercentile equatingfemoroacetabular impingementhip arthroscopymHHSstatistical crosswalk

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Area of Science:

  • Orthopedics
  • Biostatistics
  • Health Outcomes Research

Background:

  • Hip injuries, including femoroacetabular impingement syndrome (FAIS) and labral tears, are increasingly diagnosed and treated.
  • Varied use of patient-reported outcome (PRO) scores hinders comparisons across studies.
  • Standardizing PRO data is crucial for evaluating hip arthroscopy outcomes.

Purpose of the Study:

  • To develop high-fidelity statistical crosswalks between commonly used hip-specific PROs.
  • To enable direct comparison of outcomes data collected using different PRO instruments.
  • To facilitate meta-analyses of hip arthroscopy outcomes for FAIS.

Main Methods:

  • Retrospective cohort study of 677 patients undergoing hip arthroscopy for FAIS.
  • Utilized Hip disability and Osteoarthritis Outcome Score (HOOS) and modified Harris Hip Score (mHHS) data.
  • Applied equipercentile equating to generate statistical crosswalks between HOOS and mHHS.

Main Results:

  • Equipercentile equating was statistically validated based on score correlation, unidimensionality, and population invariance.
  • Successful crosswalks were created for converting HOOS to mHHS and vice versa.
  • Bland-Altman plots confirmed the accuracy of the generated crosswalks, showing minimal score differences.

Conclusions:

  • High-fidelity statistical crosswalks can be generated between different hip-specific PROs.
  • These conversion factors allow for the pooling and meta-analysis of PRO data from diverse hip arthroscopy databases.
  • This standardization improves the ability to compare treatment outcomes for FAIS.