Ways of Knowing: empirical, personal, ethical, and aesthetic. For each way of knowing, describe a clinical situation including a nursing intervention you implemented while caring for a patient, family, group, or community. In your description, explain how the particular way of knowing informed the decision to implement the intervention. 

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Week 1: Identification of Area of Interest

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For this discussion the focus is on presenting the area of interest for the evidence-based practice proposal that is required for this course.

1. State your area of research or evidence-based practice (EBP) interest from NR 500; remember that the topic must be consistent with your specialty track.
2. State your MSN program specialty track and defend how your selected area of research or EBP interest from NR 500 is consistent with your selected MSN program track.
3. Would you like to change your area of research or EBP interest from NR 500? Why or why not?
4. If you changed or modified your area of research or EBP interest, please identify the revised area of research.
5. Defend how your area of research/EBP interest is of importance to the MSN program specialty track you have selected—scholarly references are required.
6. Identify an initial PICOT/PICo question that reflects you area of interest for the evidence-based practice proposal that is required for this course.

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respond to it 

Professor and Classmates,

There exists some confusion surrounding the differences between statistical and clinical significance. Readers of medical research view statistical significance as translating to the data holding a clinically important outcome (Ranganathan, Pramesh, & Buyse, 2015). This is not the case. Instead statistical significance informs if there is a difference or a relationship between the independent and dependent variables. Statistical significance does not mean that the difference or relationship equates to clinical significance (Chamberlain, 2019). With statistical significance the numbers conclude that the outcome is not due to chance. Clinical significance refers to the practicality of the findings. In real life situations, would these results have an impact on clinical practice? Some research may have statistical significance but may not be clinically significant, thus not resulting in a clinical change in healthcare practice (Heavey, 2015).

It is possible to have research study results that supported the acceptance of the null hypothesis and demonstrate clinical significance. For example, if a study hypothesized that a new diabetes medication had no effect on blood sugar levels and the null hypothesis could not be rejected, it is plausible that the data is not statistically significant but it can still be clinically significant. If even a small number of subjects in the study showed a decrease in blood sugar levels attributed to the introduction of the medication, this could have an effect on the clinical practice in treating such patients going forward.

Credibility has to do with verifying the results of the study as accurate or believable. In terms of qualitative research this will rely on the foundation of information gathered during either the observations or participant interviews. Credible data is more likely to result from a study that has appropriate and adequate data, as well as a good analysis of negative cases. If a study’s credibility is in question, clinical significance in practice would not be established. Credibility may be established in a variety of ways, and when these techniques are not employed it is likely the study will not be credible. One such method is triangulation. Triangulation involves using multiple methods, data sources, observers, or theories surrounding the phenomenon being studied so as to ensure a more complete representation of reality. Triangulation ensures credibility by supporting comprehensive research findings. If methods such as these are not employed, it is unlikely the findings will have clinical significance. For example, if a study to determine if physical activity affected senior mental  health did not employ methods such as triangulation and therefore was deemed not to be credible, there would be no way in which to know if there is a correlation between the two in order to be significant to clinical practice with seniors.   (Polit & Beck, 2017).

References

Chamberlain University. (2019) Retrieved from https://chamberlain.instructure.com/courses/46849/pages/week-6-clinical-significance-of-qualitative-research?module_item_id=6015986

Heavey, E. (2015). Differentiating statistical significance and clinical significance. American Nurse Today, 10(5), 26-28

Polit, D. & Beck, C. (2017). Essentials of nursing research: Appraising evidence for nursing practice (9th ed.). Philadelphia, PA: Wolters Kluwer.

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.

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