Clinical Significance (graded)
Explore these issues on the Internet and through other resources. Share what you find out on these topics:
Confidence Intervals: Why are they useful in helping to determine clinical significance?
There are many controversies surrounding the issue of clinical significance vs. statistical significance. Identify one of them and summarize it. Finish with your opinion about the controversy.
Most of the clinical processes encompass tests and research that requires medical practitioners to, measures values and population and that is where confidence interval comes in. A confidence interval is a probability that a value will fall between upper and lower bound of a probability distribution. It helps to measure the probability of a population falling between two set of values (Giles, 2016). Confidence intervals can be useful in many ways to the organization, and they are particularly useful in helping avoid possibly erroneous conclusions that the two groups have similar results when non-significant findings are reported. On the same note, it allows a more flexible and nuanced approach to the analysis of research data. In addition, they allow and enable investigators to test a hypothesis about their data, and they are also more informative about such important parts of research as the sample size as well as helping a scholar to create a correlation between results obtained and the population used in the study (Bray, 2016).
Most of the experts believe that physicians are only interested in the statistical significance of their main objective and there are only interested in establishing whether the obtained p-value is below alpha. However, in clinical research, it is not only paramount to measures and access significance of the differences between the evaluated groups, but it is also recommended. Thus, one of the controversies that exist between the two is that clinical significance is superior and more important than statistical significances as it provides more information and insight on the values obtained (Pontin, 2016). Unfortunately, there is no agreed settlement to this controversy, and thus it depends on individual physicians to choose what to use depending on the research and study he is conducting.
Bray, I. K. (2016). Family presence during resuscitation: validation of the risk-benefit & self-confidence scales for student nurses.
Giles, T. L.‐C. (2016). Factors influencing decision‐making around family presence during resuscitation: a grounded theory study. Journal of Advanced Nursing.
Pontin, D. K. (2016). Family-witnessed resuscitation: focus group inquiry into UK student nurse experiences of simulated resuscitation scenarios. . BMJ Simulation and Technology Enhanced Learning, 2(3), , 73-77.