DISCUSS THE DIFFERENCE BETWEEN STATISTICALLY SIGNIFICANT EVIDENCE AND CLINICALLY SIGNIFICANT EIDENCE NUR 590
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?
Statistically, significant evidence is defined as a result when it is determined that an occurrence is different from the theoretical by coincidence. Statistical significance focuses on the null hypothesis (no association or change), p-value (probability), and the significance level (data collected previous to study). Statistics help researchers, businesses, and other entities to comprehend the extent of the findings of an experiment, survey, or poll (Ranganathan et al., 2017). Statistical importance is intended to ensure that an impact occurs. Decision-makers can use the results of specific research as a helpful tool. Nevertheless, truth, effectiveness, or relevance should not be the prime determinant.
Clinically significant evidence is defined as a result is granted where actual and measurable results have been achieved through intervention. Clinical significance depends on the affected size (correlating multiple variables), the number needed to treat (the affected sample size), and the Jacobson-Truax (calculates reliability change index). In practice, significant clinical results may be reproduced to a considerably higher degree than just significant statistical findings and can thus be utilized in the circumstances with more significant stakes when even a slim margin of mistake is too high (MHA, 2021). The clinical relevance aims at understanding the extent and extent of an impact. This is a vital tool for policymakers working on the pharmacological, psychological, and medical fields of high interest.
In evidence-based research practice, statistical importance must always be considered prior to clinical significance. The evidence-based clinical importance of the research project will be utilized to promote good projects findings that correspond with statistically significant results.
MHA. (2021). Clinical Significance vs. Statistical Significance – Side-by-Side Comparison. Mhaonline. https://www.mhaonline.com/faq/clinical-vs-statistical-significance
Ranganathan, P., Pramesh, C., & Buyse, M. (2017). Common pitfalls in statistical analysis: Clinical versus statistical significance. Perspectives in Clinical Research, 6(3), 169. https://doi.org/10.4103/2229-3485.159943
The difference between statistical versus clinical significance is the former reflects reliability of the study results while the latter is the reflection of how a study has an impact with one’s clinical practice (Ranganathan et al., 2015). Statistical significance can be measured and quantified. It can measure the probability of a null hypothesis being correct when comparing it to the acceptable level of uncertainty (Tenny & Abdelgawad, 2021). This basically is able to determine if the results yielded are true and not just a mere chance. On the other hand, clinical significance refers to the magnitude of the actual treatment effect (Ranganathan et al., 2015).
These findings can be used to advance an evidence based-practice project . It is important to note that statistical significance is not the same as clinical significance. Statistical significance can assist a researcher to whether reject or accept the null hypothesis or use the alternative hypothesis (Tenny & Abdelgawad, 2021). Clinical significance can have implications to the current trends in practice because it may or may not create a positive impact in patient care delivery.
Ranganathan, P., Pramesh, C. S., & Buyse, M. (2015). Common pitfalls in statistical analysis: Clinical versus statistical significance. Perspectives in Clinical Research, 6(3), 169–170. https://doi.org/10.4103/2229-3485.159943
Tenny, S. & Abdelgawad, I. (2021). Statistical significance. StatPearls Publishing; Available from: https://www.ncbi.nlm.nih.gov/books/NBK459346/
Statistically significant evidence is when an event occurs and the result is thought to be not random in occurrence (Zbrog, n.d.). It is utilized when the researcher is attempting to see if something is not happening by chance, and Zbrog (n.d.) states that it would be well utilized in the initial stages of pharmaceutical trials. Clinically significant evidence is when the results are after a treatment has have results that are quantifiable (Zbrog, n.d.). Zbrog (n.d.) states that this type of significance is mostly utilized in the medical field and among pharmaceutical researchers, really wherever there is an intervention that the researcher needs to be able to measure and quantify. In our EBP projects there is room for both types of evidence. Obviously for most of us we are producing new interventions/ways to do things and therefore are looking at clinically significant evidence, because if our new way of thinking and doing things makes a difference that is significant to practitioners everywhere. With statistically significant evidence, we might not all find this within our own projects but it does have its place in EBP. In my EBP project in the phase where the facility will be utilizing a survey for all patients, it could be found statistically that most of the people agreeing to take the STD test are men who sleep with men. Furthermore, this could reflect that it is MSM who are more likely to have an STD, as most of the other research I have done have found this. It would be interesting to see if this infact happens, or if the other researchers were in areas with higher rates of homosexual STD spread, on purpose or otherwise. There are many reasons one might want this statistical data, it is not significant to my study and would only be statistically significant, whereas the outcome of my intervention is most important to me, and is clinically significant evidence.
Zbrog, M. (n.d.). Clinical Significance vs. Statistical Significance – Side-by-Side Comparison. Mhaonline. Retrieved September 21, 2021, from https://www.mhaonline.com/faq/clinical-vs-statistical-significance