Dq
Clinical significance is defined as a conclusion that an intervention has an effect of practical meaning, and can be graphically represented by showing pretreatment or post treatment means (Busch, Wagener, Gregor, Ring, Borrelli, 2011). Clinical significance is subjective interpretations of research results, which could affect behaviors, when statistical significance is more about proving research is true (Shelly, 2011). Clinical significance could have meaning from the results, to the nurse and the patient. Clinical significance that would support positive outcomes in my project could be a change in lifestyle habits, after receiving culturally appropriate prevention strategies (Skelly, 2011). A change in behavior, that helps with lifestyle choices,, is viewed as important which is then classified as clinically significant, and could be great enough to alter the way you do practice (Busch et al, 2011). Confidence intervals can be used to help determine clinical significance by intervals in range of percentages (Busch et al, 2011).
Statistically significant is defined as the probability that the research results are true (UCCS, 1999). In order to know if your data is statistically significant one must test the hypothesis to provide a p-value with 5% or lower considered to be statistically significant (UCCS, 1999). Statistical significance is a function of the sample size, reliability of the effect and measurement instrument, along with magnitude of the effect (UCCS, 1999). When the sample size is very large almost anything can be found to be statistically significant, but when the sample size is small then random errors can occur (UCCS, 1999). Even if an intervention is found to have a statistically significant effect, it does not mean the intervention will be clinically significant (Busch et al, 2011).
Clinical significance is important to healthcare workers, because the risk or benefit of an intervention would indicate how effective the results would be in real life, and help with your decision making process (Skelly, 2011). By conducting a base line assessment at the start of your EBP and comparing changes at an later assessment, and grouping participants who experienced an issue against those that do not, you can then get clinical significant results to support your project (Busch et al, 2011).
Busch, A. M., Wagener, T. L., Gregor, K. L., Ring, K. T., & Borrelli, B. (2011). Utilizing reliable and clinically significant change criteria to assess for the development of depression during smoking cessation treatment: The importance of tracking idiographic change. Addictive Behaviors, 36(12), 1228–1232. http://doi.org/10.1016/j.addbeh.2011.07.031
Skelly, A. C. (2011). Probability, proof, and clinical significance. Evidence-Based Spine-Care Journal, 2(4), 9–11. http://doi.org/10.1055/s-0031-1274751
University of Colorado Colorado Springs [UCCS]. (1999). Statistical and Clinical Significance. Retrieved from https://www.uccs.edu/lbecker/clinsig.html
Needs help with similar assignment?
We are available 24x7 to deliver the best services and assignment ready within 3-4 hours? Order a custom-written, plagiarism-free paper
Get Answer Over WhatsApp
Order Paper Now
