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Beyond Only Statistical Significance: Understanding and Applying the Minimal Clinically Important Difference in
Seyed Hassan Saneii1, Julio Cesar Furlan2,3,4,5,6,7, Mohammad Alavinia2,3
1Department of Basic Sciences of Rehabilitation, School of Rehabilitation Sciences, Iran University of Medical Sciences.
The minimum clinically important difference (MCID) is the smallest patient-important outcome change. This review summarizes MCID methods, emphasizing reporting both statistical and clinical significance for patient benefit.
Area of Science:
- Clinical Research Methodology
- Patient-Reported Outcomes
- Statistical Significance
Background:
- Clinically meaningful outcomes require patient benefit beyond statistical significance.
- Patient-reported outcome measures (PROMs) are increasingly used in clinical research.
- Variability exists in defining, calculating, and interpreting the minimum clinically important difference (MCID).
Purpose of the Study:
- To comprehensively summarize methods for estimating and interpreting MCID.
- To discuss the relationship between MCID and statistical significance in clinical practice.
- To provide guidance on reporting clinical trial outcomes.
Main Methods:
- Literature search across major scientific databases (Web of Science, MEDLINE, Embase, PubMed, Google Scholar).
- Review and synthesis of distribution-based, anchor-based, and Delphi approaches for MCID estimation.
- Analysis of MCID variability across patient populations, clinical contexts, and PROMs.
Main Results:
- MCID values are context-dependent (patient population, clinical setting, PROM).
- Each MCID calculation method has unique strengths and limitations.
- Statistical significance (P < 0.05 or 95% CI excluding null) and MCID should both be reported.
Conclusions:
- Reporting effect estimates with 95% confidence intervals (CIs) is recommended.
- This approach conveys both the magnitude and precision of findings.
- Integrating MCID reporting enhances the clinical relevance of research outcomes.
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