Minimum Clinically Important Difference

The smallest change in a measurement that is perceived as beneficial or meaningful from a clinical perspective. MCID thresholds help researchers and clinicians distinguish statistically significant changes from clinically meaningful improvements. In digital health and assistive technology research, MCID values are important for evaluating whether observed changes in validated outcome measures — such as the ADHD-RS or CBCL — represent genuine clinical benefit rather than measurement variability, particularly in small-sample studies where statistical significance may be difficult to achieve.