For every medical practitioner, it is important to understand how to comprehend and interpret research findings. Differentiating between the statistical significance and clinical significance of results can be confusing to many Nurses. The two concepts seem to be related however; it is not the case when you closely look into them (Cindy, 2018). For instance, feedback might be statistically significant but doesn't automatically make it clinically significant. The differences between the two are highlighted below
An association existing between variables that were not caused by normal circumstances is referred to be statistically significant. The probability value (p-value), assists in determining the occurrence of an evidence to be a random difference and not the actual variation. In the chance where the p-value is lower than the certainty level also known as the alpha-value, the result proves to be statistically significant and not just a random occurrence. The standard probability value is set at 0.05 providing a 95percent chance of researchers to be certain that a true relationship occurs between the variable in the evidence study (Elizabeth, 2017). On the other hand, a clinically significant result is determined by experts in the field approving the statistically significant variable to be important and accepted for the direct course of patients care. It is therefore not the nurse’s choice to deem a result to be clinically important if it falls out of the studies made.
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To implement an evidence-based project, a statistically significant different comes first. Establishing the relation between variables of the evidence study enables the researcher to determine its statistical significance. For example, if patients included in the study provide different results, their p-value differentiation doesn't specifically approve the results to be clinically important (Priya, 2015). Research should be done further or referred, to determine its clinical significance in the study. As a prospective healthcare nurse, it is vital to differentiate that statistical significance difference indicates the reliability of the results where clinical significance relates to the impact of the evidence on clinical practice.
References
Cindy Denisse Leyva De Los Rios. (2018, June 11). Statistical significance vs. clinical significance. Retrieved from https://www.students4bestevidence.net/blog/2017/03/23/statistical-significance-vs-clinical-significance/
Elizabeth Heavey. (2017, June 11). Differentiating statistical significance and clinical significance. Retrieved from https://www.AmericanNurseToday.com
Priya Ranganathan, Pramesh S, C., & Buyse M. (2015, July 1). Common pitfalls in statistical analysis: Clinical versus statistical significance, - Perspect Clin Res. Retrieved from http://www.picronline.org/article.asp?issn=2229-3485;year=2015;volume=6;issue=3;spage=169;epage=170;aulast=Ranganathan
