The statistical approaches to medical inquiry involve p value to interpret and report the research results. The research result is supposed to impact clinical decision-making in clinical practice. This research outcome must be of adequate magnitude to have clinical importance. The statistical significance as evaluated by the p value does not reveal information about the clinical importance of the research outcome. This puts challenges in proper interpretation of research results in order to incorporate the research outcome into clinical practices. In evidence based practice, the decision to make research a reality needs to go beyond statistical significance. To overcome the limitations with p value, it has been suggested to include effect-size metrics so that the research outcome can be viewed more objectively along with research results obtained in the past.
