Evidence-based practice has gained prominence among emerging healthcare trends with its emphasis on informed, explicit, and conscientious practice in decision making. According to Ranganathan, Pramesh, and Buyse (2015), evidence-based practice allows caregivers the chance to integrate clinical with statistical experience through research as a source of reference. It is based on such need of supported decision making that caregivers have relied on clinical and statistical significance. Significance levels, both clinical and statistical, form a crucial part of evidence-practice when it comes to measurements in need of treatment (Ranganathan, Pramesh, & Buyse, 2015). Clinical significance accounts for the difference that lies in treatment effects in clinical practice. Clinical significance, therefore, anchors on aspects such as prevalence and risk factors where study results hold a significant impact on a larger group of stakeholders (Bhardwaj et al., 2004). Statistical significance, on the contrary, measures the difference in outcomes from control groups used in treatment purposes. Statistical significance relies on p values as well as confidence intervals. The application of clinical and statistical significance plays a complementary role in making it practical for healthcare givers to interpret different information as a means of improving healthcare quality and safety.
The application of clinical and statistical significance in clinical practice enables practitioners to make an informed decision on how best to attend to their patients. According to Ranganathan, Pramesh, and Buyse (2015), the interpretations of p-value ARR plotting enables caregivers to evaluate statistical significance on cases that warrant treatment. The integration of the two measures of significance allows clinical practitioners to interpret research findings based on statistical tests as well as clinical literature before they can arrive at an appropriate decision on treatment (Bhardwaj et al., 2004). The two measures of significance ensure that there exists a harmonious interrelationship between clinical and statistical findings necessary for the creation of relevance in healthcare practice.
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References
Bhardwaj, S. S., Camacho, F., Derrow, A., Fleischer, A. B., & Feldman, S. R. (2004). Statistical significance and clinical relevance: the importance of power in clinical trials in dermatology. Archives of dermatology , 140 (12), 1520-1523.
Ranganathan, P., Pramesh, C. S., & Buyse, M. (2015). Common pitfalls in statistical analysis: Clinical versus statistical significance. Perspectives in clinical research , 6 (3), 169.
