• Distribution methods are based on statistical models .|
• The value of 0.5 SD corresponds to the MCID across a variety of studies .
• Guidelines for the interpretation of effect size are somewhat arbitrary.|
• This statistical approach does not consider the core concept of the MCID; the clinical importance .
• These methods are sample-specific; findings will vary on the sample size and distribution that the SD is based on .
• Anchor methods have the advantage of being more clearly understood because change scores are related to a clearly understood clinical observation .|
• Global assessment scales are sensitive to change .
• Determining the cut-off on the anchor scale is often an arbitrary decision .|
• Global assessment scales may not always be valid. For example, they can be susceptible to recall bias .
• Gathering the views and experiences of patients provides clinical relevance to the MCID.|
• Qualitative data provides richer information from the participants perspective which cannot be elicited through standardized measures .
• Can lack the precision needed to determine a numerical marker of MCID .|
• Often includes smaller sample sizes, which can introduce issues with generalisability .