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NRS 493 Topic 8 DQ 2 Define clinical significance, and explain the difference between clinical and statistical significance
NRS 493 Topic 8 DQ 2 Define clinical significance, and explain the difference between clinical and statistical significance
Topic 8 DQ 2
Jun 6-10, 2022
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?
Sharia Jones
Posted Date
Jun 12, 2022, 3:00 PM
Replies to Sharia Jones
Statistical significance indicates the reliability of a study’s results, while clinical significance reflects its impact on clinical practice. To expound, measures of statistical significance quantify the probability of a study’s results being due to chance. Statistical significance is a mathematical measure that is used to determine variances between groups based on certain mathematical criteria. Clinical significance, on the other hand, refers to the magnitude of the actual treatment effect, which will determine whether the results of the trial are likely to impact current medical/clinical practice (Ranganathan, Pramesh & Buyse, 2015). For example, a study may have true findings and a truly effective outcomes (statistically significant), however, the effect may be very small compared to the financial cost, or resources it may utilize to implement, deeming the study non-clinically significant. The measure of clinical significance is the determining factor whether an evidence-based practice will be implemented in the healthcare system (Schober, Bossers & Schwarte, 2018). Based on the positive outcomes of my change project, if true clinical significance is proven there is a greater potential for continued implementation into standard practice at the facility.
References
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
Schober, Patrick MD, PhD, MMedStat; Bossers, Sebastiaan M. MD, MSc; Schwarte, Lothar A. MD, PhD, MBA Statistical Significance Versus Clinical Importance of Observed Effect Sizes: What Do P Values and Confidence Intervals Really Represent?, Anesthesia & Analgesia: March 2018 – Volume 126 – Issue 3 – p 1068-1072 http://doi:10.1213/ANE.0000000000002798
Esther Obiyaa
replied toSharia Jones
Jun 12, 2022, 7:08 PM
- Replies to Sharia Jones
Hello Sharia,
Thank you for your educational post. In addition to what you elaborated on, It is always essential to determine the statistical significance of research before significance because clinical research study results, which are statistically significant, are often interpreted as clinically important. We can use clinical significance to support the positive outcomes of our project outcome by ensuring that the result is statistically significant (Heavey, 2015)
Reference
Heavey, E. (2015). Differentiating statistical significance and clinical significance. American Nurse Today, 10(5): 26-28. Available from https://www.brockport.edu/daily_eagle/doc/2015-04/item_8038_7659.pdf
- Ayda Nahorai
replied toSharia Jones
Jun 12, 2022, 7:36 PM
- Replies to Sharia Jones
Statistical significance has been used extensively to evaluate the results of research studies. Nevertheless, it offers only limited information to clinicians. Assessing clinical relevance can facilitate interpreting the research results into clinical practice. Statistical significance is a measurement of how likely it is that the difference between two groups, models, or statistics occurred by chance or occurred because two variables are related to each other. This means that a “statistically significant” finding is one in which it is likely the finding is accurate, reliable, and not due to chance.
- Lydia Kwofie
replied toSharia Jones
Jun 12, 2022, 7:37 PM
Replies to Sharia Jones
Hi Sharia,
In the case of evidence-based research practice, it is essential to determine statistical significance of the research results before ascertaining whether the results are clinically significant. The main reason for establishing statistical significance before determining clinical significance is that clinical significance is determined after evaluating several research or experimental findings and confirming that they are statistically significant (Polit, 2017). I can make use of clinical significance to inform positive outcomes in my project outcome by ensuring that the results are statistically significant because clinical significance is informed by statistically significant results.
Polit, D. F. (2017). Clinical significance in nursing research: A discussion and descriptive analysis. International Journal of Nursing Studies, 73, 17-23.
- Sharia Jones
replied toLydia Kwofie
Jun 12, 2022, 11:56 PM
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- Replies to Lydia Kwofie
Hi Lydia,
Statistical significance is a mathematical measure that is used to determine variances between groups based on certain mathematical criteria. Clinical significance, on the other hand, refers to the magnitude of the actual treatment effect, which will determine whether the results of the trial are likely to impact current medical/clinical practice. Clinical significance indicates whether the results of a
study are meaningful or not for several stakeholders. A clinically relevant intervention is the one whose effects are large enough to make the associated costs, inconveniences, and harms worthwhile (Armijo-Olivo, 2018).
References
Armijo-Olivo S. (2018). The importance of determining the clinical significance of research results in physical therapy clinical research. Brazilian journal of physical therapy, 22(3), 175–176. https://doi.org/10.1016/j.bjpt.2018.02.001
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