Question

Not all EBP projects result in statistically significant results. Define clinical significance, and explain the difference between clinical and statistical significance. How can you use clinical significance to support positive outcomes in your project?

Answer 1

#. Clinical significance - An approach to considering the results obtained from intervention research that provides information over and above what is obtained from both NHST and effect size measures by considering the real-world

Determinants of clinical significance :-

How large of a difference was found; does change exceed MCID; Effect size measurements (specificity, sensitivity, likelihood ratio, numbers needed to treat, relative risk, absolute risk reduction)

Statistical Significance :-

Traditional data analysis focuses on hypothesis testing (statistical analysis, difference beyond chance); Rejection of null hypothesis (Dependent on statistical power); Does NOT provide context or clinical meaningfulness

Determinants of statistical significance :-

p-values; precision of estimates/confidence intervals; power; type 1 or type 2 errors , individual-level "impact" of the intervention.

#. Difference between clinical and statistical significance :-

A p value greater than the alpha level are not statistically significant; indicating that the observed results (e.g., difference or correlation) are likely due to chance. It is called statistical significance .

While Clinical significance pertains to the practical real life importance .

As clinical significance refers to the magnitude of actual treatment effect , by this way we can use it to support our positive findings of the study because it deal with reality and hypothesis .