p4,p5 and p6

   Hello i need a Good and Positive Comment related with this argument .A paragraph  with no more  100 words   .   

 

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Kelie Hein 

2 posts

Re:Topic 8 DQ 2

To me, clinical significance is the “so what” of the study.  It is what makes interventions and outcomes relevant.  I would define statistical significance as whether the interventions and outcomes support the hypothesis of the study.  Sedgwick (2014) defines clinical significance as “the difference between treatments in effectiveness as clinically important, and it is possible that clincical practice will change” (pg. 1).  He defines statistical significance as “the difference seen in the population”, and adds that “statistical significance is used to inform clinical significance” (Sedgwick, 2014, pg. 1).

Clinical significance for my project wuold be increased patient safety as a result of decreased diversion rates, secondary to the implementation of education and new policies, procedures, and equipment.  Positive outcomes themselves provide for clinical significance.  In evaluating the change proposal, it will allow for me to determine whether positive outcomes have occurred.  Those positive outcomes can then be utilized to change clinical practice (clinical significance) for the better, and allow increased patient safety.

 

Sedgwick, P. (2014). Clinical significance versus statistical significance. The BMJ, 348.

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Wendy Santos 

1 posts

Re:Topic 8 DQ 2

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).

References

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

 

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Erin Dieguez 

2 posts

Re:Topic 8 DQ 2

Significance is noted to be the importance of something or possessing the important quality. The statistical significance of something means that it did not happen just by chance, but because it was true. “Significant, in terms of statistics, is defined as “probably caused by something other than mere chance.” Researchers proclaim a study finding to be “statistically significant” or not, depending on whether their research result is less than the a priori alpha level set before the study commenced.” (Thompson, 2017)

“ Clinical significance
, or clinical importance
: Is the difference between new and old therapy found in the study large enough for you to alter your practice? Because there is always a leap of faith in applying the results of a study to your patients (who, after all, were not in the study), perhaps a small improvement in the new therapy is not sufficient to cause you to alter your clinical approach. Note that you would almost certainly not alter your approach if the study results were not statistically significant (i.e. could well have been due to chance).” (Significance vs. Importance, n.d.)

This is such a hard concept for me to understand honestly. What does make sense to me is that statistics and statistical evidence are actual facts and what makes sense to me is that the significance is based on actual factors and not just a random result. The clinical significance is necessarily just by chance but you are taking a little more of a “leap of faith”, as they stated, in applying their results to the actual practice. They are not sure if this result is for sure the answer to treatments and if it will work on every single person  but there is a strong possibility based on research that this will work for most of the population.

 

References

Significance vs. Importance. (n.d.). Retrieved from https://www.med.uottawa.ca/sim/data/Statistical_significance_importance_e.htm

Thompson, C. (2017, April 11). What’s the Difference Between Statistical Significance and Clinical Significance? Retrieved from https://nursingeducationexpert.com/difference-statistical-significance-clinical-significance/