Clinical significance can be termed as a conclusion that an intervention has an effect that has a practical meaning to older persons and the health care providers ( Page, 2014) . When something has a clinical significance, the results are practical or meaningful for the patient and may affect the behavior of the provider.
The statistical significance usually allows us to explore quantitatively whether the difference between the groups is due to chance or there are some true differences. The implication is that statistical significance usually answers the question related to the play of chance ( Mahuli & Mahuli, 2015) . On the other hand, clinical significance usually pertains to whether an observed effect is important in the treatment of a disease that affects an individual ( Jakobsen, Wetterslev, Winkel, Lange, & Gluud, 2014) . The question is on whether the observed difference affects the approach to treatment or diagnosis for the patients.
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For example, a case of a new drug that reduces the rate of mortality by 55% compared to placebo (p = 0.12). In this case, a large clinical effect may demand more research in order to determine if the reduction of mortality rates is due to a true effect or not ( Mahuli & Mahuli, 2015) . In this case, the magnitude of effect that determines clinical significance is influenced by where the problem addressed lies on the continuum between a rare disease and public health. Research shows that the closer a disease is to the solution of a health problem, smaller effect sizes are acceptable as clinically significant ( Jakobsen, Wetterslev, Winkel, Lange, & Gluud, 2014) . What is evident is that even though an intervention is found to have some statistical significance, this may not mean that it is clinically significant. For example, in a trial that has large participants a small difference between the treatment and the control group may be said to have statistical significance but is clinically insignificant.
References
Jakobsen, J. C., Wetterslev, J., Winkel, P., Lange, T., & Gluud, C. (2014). Thresholds for statistical and clinical significance in systematic reviews with meta-analytic methods. BMC medical research methodology , 14 (1), 120.
Mahuli, A., & Mahuli, S. (2015). Significance of statistical significance. Journal of Dental Research and Review , 2 (3), 106-106.
Page, P. (2014). Beyond statistical significance: clinical interpretation of rehabilitation research literature. International journal of sports physical therapy , 9 (5), 726.
