Not all EBP projects result in statistically significant results. Define clinical significance, and explain the difference between clinical and statistical significance. How can you use clinical significance to support positive outcomes in your project?
EBP understanding and scrutiny are important in the success of its application. Therefore, it is crucial to determine the differences between clinical and statistical significance. Statistical significance is defined as the EBP factors that show the extent and probability that research findings are valid (Banik et al., 2020). There are differences between clinical and statistical significance. In research analysis, findings are regarded as statistically significant when the p-value generated in the research analysis is lesser than the level of confidence that researchers expected. The p-value is always set at 0.05, which illustrates a 5% possibility that the results of the study did not depend on probability and a 95% sureness of the real association between variables examined and the study (Imbens, 2021). Contrarily, the clinical significance refers to a subjective assumption that the findings of a research are consequential for the implementation in the patient care and are also likely to influence the behavior of the care providers (Banik et al., 2020). As such, clinically significant outcomes occur when healthcare providers are satisfied that the research findings are appropriate to guide medical decisions and can be applied to direct patient healthcare delivery.
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When implementing EBP, researchers should strive to establish the statistical significance before clinical significance. However, the clinical significance tends to connote subjective evaluation and is challenging to be established by a single experiential test. As such, the project at hand can rely on the clinical significance to sustain positive outcomes based on the surety that the outcomes of the project are statistically significant (Mellis, 2018). This idea is based on the fact that most statistically significant findings tend to be relevant clinically.
References
Banik, R. K., Karuppiah, S., & Kaizer, A. M. (2020). Statistical significance versus clinical relevance. Comment on Br J Anaesth 2020; 124: 154–63. British Journal of Anaesthesia, 124(6), e227-e228. https://www.bjanaesthesia.org/article/S0007-0912(20)30132-X/fulltext
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Not all EBP projects result in statistically significant results. Define clinical significance, and explain the difference between clinical and statistical significance. How can you use clinical significance to support positive outcomes in your project?
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Imbens, G. W. (2021). Statistical significance, p-values, and the reporting of uncertainty. Journal of Economic Perspectives, 35(3), 157-74. https://www.aeaweb.org/articles?id=10.1257/jep.35.3.157
Mellis, C. (2018). Lies, damned lies, and statistics: clinical importance versus statistical significance in the research. Pediatric respiratory reviews, 25, 88-93. https://doi.org/10.1016/j.prrv.2017.02.002
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Assessment Description
Not all EBP projects result in statistically significant results. Define clinical significance, and explain the difference between clinical and statistical significance. How can you use clinical significance to support positive outcomes in your project?