Discuss the difference between statistically significant evidence and clinically significant evidence. How would each of these findings be used to advance an evidenced-based practice project?
Statistical significance and clinical significance are common terms in healthcare research. However, many people fail to understand the distinction between these two terms. Clinical and statistical significance are important in healthcare because they have equal measures of importance to the researchers (Dahlberg et al., 2020). Clinical significance is keen on observing the dissimilarity between two tested groups or two treatment modalities used in research. Clinical researchers use this significance to verify how something is happening or taking place (Schober et al., 2018). Besides, it provides more information on the intensity of what is happening, which would further prompt measures to control an experiment between two different groups.
Statistical significance shows whether there is any mathematical significance in the already done analysis or not. It allows a researcher to reject or accept the null hypothesis depending on the statistical computation and tests carried out on the variables of the study (Sharma, 2021). This significance tells a researcher that there is the likelihood that something is happening, but it cannot show the extent to which that thing is happening.
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Clinical significance is important in confirming the positive effect of evidence-based practice on patients. It approves a practice to be applied on a patient. Statistical significance, on the other side, approves the initial test that practice is significant in healthcare (Sharma, 2021). However, the test must be followed with clinical tests to approve and confirm the results from the statistical tests. Both clinical and statistical tests are important in healthcare. The statistical tests give the initial value of a practice. Later, clinical significance approves the tests from statistical significance to use in healthcare.
References
Dahlberg, S. E., Korn, E. L., Le-Rademacher, J., & Mandrekar, S. J. (2020). Clinical versus statistical significance in studies of thoracic malignancies. Journal of Thoracic Oncology, 15(9), 1406-1408. https://doi.org/10.1016/j.jtho.2020.06.007
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Schober, P., Bossers, S. M., & Schwarte, L. A. (2018). Statistical significance versus clinical importance of observed effect sizes: what do P values and confidence intervals really represent?. Anesthesia and Analgesia, 126(3), 1068. doi: 10.1213/ANE.0000000000002798
Sharma H. (2021). Statistical significance or clinical significance? A researcher’s dilemma for appropriate interpretation of research results. Saudi Journal of Anaesthesia, 15(4), 431–434. https://doi.org/10.4103/sja.sja_158_21
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Discuss the difference between statistically significant evidence and clinically significant evidence. How would each of these findings be used to advance an evidenced-based practice project?