Define clinical significance, and explain the difference between clinical and statistical significance NRS 493

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Define clinical significance, and explain the difference between clinical and statistical significance NRS 493

Topic 8 DQ 2

Not all EBP projects result in statistically significant results. Define clinical significance, and explain the difference between clinical and statistical significance. How can you use clinical significance to support positive outcomes in your project?

A Sample Answer For the Assignment: Define clinical significance, and explain the difference between clinical and statistical significance NRS 493

Title: Define clinical significance, and explain the difference between clinical and statistical significance NRS 493

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Statistical significance indicates the reliability of a study’s results, while clinical significance reflects its impact on clinical practice. To expound, measures of statistical significance quantify the probability of a study’s results being due to chance. Statistical significance is a mathematical measure that is used to determine variances between groups based on certain mathematical criteria. Clinical significance, on the other hand, refers to the magnitude of the actual treatment effect, which will determine whether the results of the trial are likely to impact current medical/clinical practice (Ranganathan, Pramesh & Buyse, 2015). For example, a study may have true findings and a truly effective outcomes (statistically significant), however, the effect may be very small compared to the financial cost, or resources it may utilize to implement, deeming the study non-clinically significant. The measure of clinical significance is the determining factor whether an evidence-based practice will be implemented in the healthcare system (Schober, Bossers & Schwarte, 2018). Based on the positive outcomes of my change project, if true clinical significance is proven there is a greater potential for continued implementation into standard practice at the facility.

References

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. https://doi.org/10.4103/2229-3485.159943

Schober, Patrick MD, PhD, MMedStat; Bossers, Sebastiaan M. MD, MSc; Schwarte, Lothar A. MD, PhD, MBA Statistical Significance Versus Clinical Importance of Observed Effect Sizes: What Do P Values and Confidence Intervals Really Represent?, Anesthesia & Analgesia: March 2018 – Volume 126 – Issue 3 – p 1068-1072 http://doi:10.1213/ANE.0000000000002798

Replies

Thank you for your educational post. In addition to what you elaborated on, It is always essential to determine the statistical significance of research before significance because clinical research study results, which are statistically significant, are often interpreted as clinically important. We can use clinical significance to support the positive outcomes of our project outcome by ensuring that the result is statistically significant (Heavey, 2015)

Define clinical significance, and explain the difference between clinical and statistical significance NRS 493

Reference

Heavey, E. (2015). Differentiating statistical significance and clinical significance. American Nurse Today, 10(5): 26-28. Available from https://www.brockport.edu/daily_eagle/doc/2015-04/item_8038_7659.pdf

Replies

Statistical significance has been used extensively to evaluate the results of research studies. Nevertheless, it offers only limited information to clinicians. Assessing clinical relevance can facilitate interpreting the research results into clinical practice. Statistical significance is a measurement of how likely it is that the difference between two groups, models, or statistics occurred by chance or occurred because two variables are related to each other. This means that a “statistically significant” finding is one in which it is likely the finding is accurate, reliable, and not due to chance.

Replies

In the case of evidence-based research practice, it is essential to determine statistical significance of the research results before ascertaining whether the results are clinically significant. The main reason for establishing statistical significance before determining clinical significance is that clinical significance is determined after evaluating several research or experimental findings and confirming that they are statistically significant (Polit, 2017). I can make use of clinical significance to inform positive outcomes in my project outcome by ensuring that the results are statistically significant because clinical significance is informed by statistically significant results.

Polit, D. F. (2017). Clinical significance in nursing research: A discussion and descriptive analysis. International Journal of Nursing Studies, 73, 17-23.

Click here to ORDER an A++ paper from our Verified MASTERS and DOCTORATE WRITERS:Mellis, (2018) states that looking at data should be approached from different angles and to look out for pitfalls like assumption of importance or errored results.

- Replies

Statistical significance is a mathematical measure that is used to determine variances between groups based on certain mathematical criteria. Clinical significance, on the other hand, refers to the magnitude of the actual treatment effect, which will determine whether the results of the trial are likely to impact current medical/clinical practice. Clinical significance indicates whether the results of a study are meaningful or not for several stakeholders. A clinically relevant intervention is the one whose effects are large enough to make the associated costs, inconveniences, and harms worthwhile (Armijo-Olivo, 2018).

References

Armijo-Olivo S. (2018). The importance of determining the clinical significance of research results in physical therapy clinical research. Brazilian journal of physical therapy, 22(3), 175–176. https://doi.org/10.1016/j.bjpt.2018.02.001

Adrian Palmer

Posted Date

Jun 11, 2022, 11:37 PM

Replies to Sharia Jones

A project hopes to have results that mean something. However, this is not always the case, sometimes the results do not show a change. The resulted question is why a change wasn’t there. The primary cause of insignificance is not having enough samples. Statistical significance is at the heart of this discussion. If a study is done on one person, the value of the resultant data has no relation to other people. There just isn’t enough data and results to comfortably assume there is a pattern or connection (Dybvik, et al., 2018).

Clinical significance relates to the clinical setting. Statistical significance merely relates to mathematical importance. It may have no bearing on the clinical area, be in a hospital or a lab. The way Mellis (2018) described it, there are those that produce and those that consume research. Clinical significance is more important for those that consume research. Statistical significance is more for those that produce the research. The importance of accepting clinical significance is the hopes there was a conclusion that was viable and true. Clinical significance will have different values than that of statistical significance. These two can be combined in a conclusion or evaluation as well (Mellis, 2018). There may not necessarily be numbers related to clinical significance, but results may support it regardless of the statistical values. There can be a positive outcome will low changes in expected results.

For instance, the author’s practicum does look to have some statistical data that supports a positive conclusion due to valuation of blood glucose levels. Even with results not supporting lower blood glucose levels, perhaps in the case of the authors proposal, overall patient health can be related as a positive finding if indicated by the patient. Things such as a reduction in hospital visits are one way of analyzing the clinical value.

Dybvik, J. B., Sundsford, S., Wang, C. E. A., & Nivison, M. (2018). Significance of nature in a clinical setting and its perceived therapeutic value from patients’ perspective. European Journal of Psychotherapy & Counselling, 20(4), 429–449. https://doi-org.lopes.idm.oclc.org/10.1080/13642537.2018.1529690

Mellis, C. (2018). Lies, damned lies and statistics: Clinical importance versus statistical significance in research. Paediatric Respiratory Reviews, 25, 88–93. https://doi-org.lopes.idm.oclc.org/10.1016/j.prrv.2017.02.002

Ayda Nahorai

replied toAdrian Palmer

Jun 12, 2022, 8:27 PM

Replies to Adrian Palmer

Hi Adrian,

Clinical relevance (also known as clinical significance) indicates whether the results of a study are meaningful or not for several stakeholders. A clinically relevant intervention is one whose effects are large enough to make the associated costs, inconveniences, and harms worthwhile. Clinical relevance facilitates the understanding and interpretation of results for clinicians. In physical therapy, the assessment of this approach has become a popular method to assist the transfer of knowledge into clinical practice.

Reference

Adrian Palmer

replied toAyda Nahorai

Jun 12, 2022, 11:19 PM

Replies to Ayda Nahorai

Ayda,

You bring up good wording where I failed. When you mentioned that it is important for clinical significance to affect stakeholders in order for it to be valuable. You explained it in better terms to break down the importance of it. Clinical significance is important for us nurses. This is the area we would care about and look for change to happen. We don’t necessarily care about statistical significance even if it has bearing on our practice. Statistical significance leads to clinical significance (Mellis, 2018). So yes, the data can be of great importance and indicate a definitive result, but what that result leads to in the health care setting is what nurses consider important.

Mellis, (2018) states that looking at data should be approached from different angles and to look out for pitfalls like assumption of importance or errored results.