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A complete procedure to test a claim about population standard deviation or population variance is explained here.
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Related Experiment Video

Updated: Jun 22, 2025

Standardized Measurement of Nasal Membrane Transepithelial Potential Difference NPD
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Calculation of the minimum clinically important difference (MCID) using different methodologies: case study and

Anita M Klukowska1,2, W Peter Vandertop1, Marc L Schröder3

  • 1Department of Neurosurgery, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands.

European Spine Journal : Official Publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
|June 28, 2024
PubMed
Summary

Establishing the minimum clinically important difference (MCID) is crucial for assessing meaningful patient improvement in spine surgery outcomes. This study details MCID calculation methods and provides a practical example for researchers.

Keywords:
Anchor-based methodsChange scoresClinical outcomesDistribution-based methodsMinimum clinically important differenceSpine surgery

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Area of Science:

  • Spine Surgery Outcomes Research
  • Clinical Trial Methodology
  • Patient-Reported Outcome Measures

Background:

  • Determining the minimum clinically important difference (MCID) is essential for interpreting patient-centered outcome changes.
  • Understanding MCID allows for the evaluation of treatment effectiveness in spine surgery.
  • Previous research has focused on various methods to establish these meaningful change thresholds.

Purpose of the Study:

  • To summarize and compare available methods for calculating MCID in spine surgery.
  • To provide a practical, step-by-step example of MCID calculation using real-world data.
  • To guide researchers in planning and executing future MCID studies.

Main Methods:

  • Reviewed 13 distinct MCID calculation methodologies, including anchor-based and distribution-based approaches.
  • Calculated MCID for the Zurich Claudication Questionnaire (ZCQ) Symptom Severity in lumbar spinal stenosis patients.
  • Utilized Numeric Rating Scale for Leg Pain and JOABPEQ Walking Ability as anchor measures.

Main Results:

  • The calculated MCID for ZCQ Symptom Severity improvement varied between 0.8 and 5.1.
  • Anchor-based methods generally produced higher MCID values compared to distribution-based methods.
  • The proportion of patients achieving MCID ranged widely from 9.5% to 61.9% across methods.

Conclusions:

  • MCID calculation is vital for robust spine research and treatment evaluation.
  • Anchor-based methods, particularly with ROC analysis, are recommended as the gold standard.
  • The minimum detectable change approach is a viable alternative when patient preference anchors are unavailable.