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MCID normalization: A methodological framework for harmonizing heterogeneous PROMs in hip arthroscopy research.

Nikolai Ramadanov1,2

  • 1Center of Orthopaedics and Traumatology, Brandenburg Medical School University Hospital Brandenburg an der Havel Brandenburg an der Havel Germany.

Journal of Experimental Orthopaedics
|November 17, 2025
PubMed
Summary

Hip arthroscopy research can now compare diverse patient outcomes using minimal clinically important difference (MCID) normalization. This method harmonizes various patient-reported outcome measures (PROMs), enabling clearer meta-analyses and treatment effectiveness assessments.

Keywords:
MCIDPROMhip arthroscopymeta‐analysismethodologyoutcome harmonization

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Area of Science:

  • Orthopedic Surgery
  • Clinical Research Methodology
  • Biostatistics

Background:

  • Hip arthroscopy (HAS) research utilizes numerous patient-reported outcome measures (PROMs), leading to heterogeneity.
  • This diversity complicates cross-study comparisons and meta-analyses due to the absence of a gold-standard PROM.
  • Existing methods lack guidance on integrating heterogeneous PROMs using the minimal clinically important difference (MCID).

Purpose of the Study:

  • To investigate if heterogeneous PROMs in hip arthroscopy can be harmonized through MCID normalization.
  • To develop and demonstrate a framework for standardizing diverse PROMs in HAS research.

Main Methods:

  • Identified and ranked PROMs from 100 HAS studies based on frequency.
  • Applied frequently reported MCID values from validation studies.
  • Normalized PROMs by dividing observed values by MCID, creating a standardized metric in 'MCID units'.
  • Utilized a proof-of-concept dataset with simulated studies for meta-analysis (REML).

Main Results:

  • Identified 214 PROM mentions across 100 studies; modified Harris Hip Score (mHHS), iHOT-12, and HOS-SSS were most frequent.
  • Normalization successfully transformed heterogeneous PROMs into a unified scale, enabling synthesis as 'number of clinically meaningful improvements'.
  • The framework facilitated transparent, reproducible pooling of outcomes, preserving clinical interpretability.

Conclusions:

  • MCID normalization offers a robust methodology to harmonize diverse PROMs in hip arthroscopy research.
  • This approach enhances comparability, reduces bias in evidence synthesis, and supports meaningful interpretation of meta-analytic findings.
  • The method translates heterogeneous PROMs into a unified, clinically interpretable metric, applicable to other surgical fields.