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Medical Statistics

Does the Result Matter? Moving from P Values to Patient-Relevant Effects

A small p value does not prove that an effect matters to patients. Evaluate effect size, confidence intervals and minimally important differences.

Admin
June 20, 2026
8 min read

Two different questions

Statistical significance asks how compatible the data are with a specified null model. Clinical importance asks whether the magnitude matters to patients, clinicians or health systems. A huge sample can make a trivial effect statistically significant, while an important effect can remain uncertain in a small study.

Report an effect estimate and uncertainty

Use an appropriate measure—mean difference, risk difference, risk ratio, odds ratio, hazard ratio or standardised effect—with a confidence interval. The p value does not communicate magnitude.

What is an MCID?

A minimally clinically important difference is the smallest change considered important enough to influence patient experience or decisions. It is context-dependent and can vary by population, baseline severity, measurement instrument, treatment burden and elicitation method. Anchor-based information, distribution-based evidence and patient input should be combined where possible.

Compare the confidence interval with the clinical threshold

  • An interval entirely beyond the benefit threshold supports an important effect.

  • An interval excluding zero but lying below the MCID suggests statistical significance with limited clinical importance.

  • An interval spanning harm and important benefit indicates uncertainty.

  • An interval confined to clinically trivial values can provide evidence against a meaningful effect.

Absolute effects matter

A 50% relative risk reduction from 2% to 1% is a 1-percentage-point absolute reduction and an NNT of about 100. The same relative reduction from 40% to 20% has a very different clinical meaning. Benefits should be considered alongside harms, cost and patient preferences.

Reporting example

“The intervention reduced the score by 2.1 points (95% CI 0.9–3.3; p=0.001). Because the prespecified minimally important difference was 5 points, the effect is statistically significant but unlikely to be clinically important.”

References

Accessed 20 June 2026.