Patient-reported outcomes · Analysis and reporting

PRO Change Distribution and Responder Rule

An empirical change distribution shows what a hypothetical responder threshold hides.

Download SVG Open code and full worked example

When to use it

Use a context-validated meaningful-change rule in a real study; the displayed five-point rule is deliberately hypothetical.

How to read it

Changes are -2,0,1,2,3,4,5,6,8,10 and four of ten meet the hypothetical improvement rule ≥5. Missing assessments are absent from this complete toy only.

Worked example

An empirical change distribution shows what a hypothetical responder threshold hides.

Changes are -2,0,1,2,3,4,5,6,8,10 and four of ten meet the hypothetical improvement rule ≥5. Missing assessments are absent from this complete toy only.

Result: Use a context-validated meaningful-change rule in a real study; the displayed five-point rule is deliberately hypothetical.

Produced by

Meaningful Change and Responder Definitions Patient-Reported Outcomes in Real-World Settings

Reference: Primary method sources are listed in the linked producing-method entries. The displayed data are original synthetic teaching examples, not published patient results.