Confidence Intervals

Confidence intervals (CIs) are values in calculations from the observed data that most likely contain the real value of a given probability. The investigators choose the possibility. The classical significance testing relies on the p values to provide a statically significant result or the dichotomous result or not. By limiting the research findings, interpretation of the p values means that researchers can either underestimate or overestimate the meaning of results. The main aim of clinical research is to place trial on an intervention with the aim that the results from the sample will be generalizable to the larger population. On its own the p values lack no information of the overall meaning and importance of results in clinical practices (Connelly, 2013).

They do not also show what may happen in the general population or the future. Therefore, clinical significance is the decision derived from the practical relevance or value of a specific treatment and this may not or may involve a statistical significance as one of the criteria. Confidence intervals are one way in which the researchers can assist in deciding whether a statistical result has relevance in piracies or whether it is significant or not. Confidence interval has clinical significance since it may prove that the minimal improvement in percentages and that points out where a clinician has to determine if there is a benefit of changing the treatment (Chamberlain College of Nursing, 2014).

 A controversial situation is when a patient comes to the ICU experiencing the spontaneous hemorrhagic stroke. After talking to his family, they told me that the patient chooses to be part of a research study on aortic valve replacements that requires no open-heart surgery.

The patient was aware of the higher risk of stroke in this new method, unlike the open-heart surgery. The physician also felt that the patient would not agree with and open-heart surgery. In this case, the patient chooses to proceed with this high-risk method despite the lack of statistical data. Ultimately the patient enjoyed another six healthy months after performing this procedure. In such an incidence, the patient and family made use of the clinical significance in justifying their decisions, and they were happy with the patients’ outcome for six months despite finally suffering from a terminal stroke.

References

Chamberlain College of Nursing, (2014). NR500 Foundational Concepts & Applications: Week 5 lesson. St. Louis, Mo: online publication.

Connelly, L. M. (2013). What Are Confidence Intervals? MEDSURG Nursing, 22(1), 56

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