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Mind the MIC: large variation among populations and methods.

Caroline B Terwee1, Leo D Roorda, Joost Dekker

  • 1Department of Epidemiology and Biostatistics, VU University Medical Center, The EMGO Institute for Health and Care Research, van der Boechorststraat 7, 1081 BT Amsterdam, The Netherlands. cb.terwee@vumc.nl <cb.terwee@vumc.nl>

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|November 21, 2009
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Summary
This summary is machine-generated.

Determining the minimal important change (MIC) for patient-reported outcomes is inconsistent across methods and studies. Further standardization of MIC methodology is needed for reliable interpretation of clinical significance.

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Area of Science:

  • Rheumatology
  • Clinical Epidemiology
  • Health Outcomes Research

Background:

  • There is no established consensus on the optimal method for determining the minimal important change (MIC) in patient-reported outcomes.
  • Recent literature suggests employing multiple methods to ascertain MIC values.
  • Assessing the consistency of MIC values derived from various methods is crucial for clinical interpretation.

Purpose of the Study:

  • To evaluate the consistency of minimal important change (MIC) values for patient-reported outcomes when determined by different methodologies.
  • To compare the results of anchor-based and distribution-based methods for calculating MIC.
  • To investigate the impact of relative change scores on MIC consistency.

Main Methods:

  • Utilized two anchor-based and three distribution-based methods to calculate the MIC for pain and physical functioning subscales of the Western Ontario and McMaster University Osteoarthritis Index.
  • Applied these methods across five distinct studies involving patients with hip or knee conditions.
  • Re-evaluated anchor-based methods using relative change scores to account for baseline variations.

Main Results:

  • Significant variability in MIC values was observed, both across different studies using the same method and across different methods within the same study.
  • This variation persisted even when employing relative change scores, suggesting it is not solely due to baseline differences.
  • The observed inconsistencies could not be definitively attributed to variations in patient populations, disease severity, or follow-up duration.

Conclusions:

  • The current methodologies for determining minimal important change (MIC) require improvement and standardization to enhance reliability.
  • Further research is necessary to differentiate between true population-based MIC variations and methodological limitations.
  • Clinicians and researchers should exercise caution when interpreting and applying existing published MIC values due to current inconsistencies.