NUR 590 Discuss the difference between statistically significant evidence and clinically significant evidence<\/span><\/h2>\n

Sample Answer for NUR 590 Discuss the difference between statistically significant evidence and clinically significant evidenceIncluded After Question<\/strong><\/h2>\n

Topic 6 DQ 2<\/strong><\/h2>\n

Assessment Description<\/h3>\n

Discuss the difference between statistically significant evidence and clinically significant evidence. How would each of these findings be used to advance an evidence-based practice project?<\/p>\n

A Sample Answer For the Assignment: NUR 590 Discuss the difference between statistically significant evidence and clinically significant evidence<\/strong><\/h2>\n

Title: <\/strong>\u00a0<\/strong>NUR 590 Discuss the difference between statistically significant evidence and clinically significant evidence<\/h2>\n

In research, statistically significant and clinically significant evidence are two different concepts, each important in advancing evidence-based practice programs. According to Polit and Beck (2020), statistical significance refers to the likelihood that the observed results in a study are not related to chance but are a true reflection of the relationship between variables. Statistical tests are used in quantitative research to examine if the findings are likely to have occurred by chance. When a result is statistically significant, it indicates that there is a true effect or correlation between the variables under consideration.<\/p>\n

Clinical significance, on the other hand, focuses on the practical or real-world importance of the research findings, the authors added. It assesses whether the observed effect or difference between groups greatly impacts patient outcomes or clinical practice. For instance, a treatment may be statistically significant in reducing the severity of symptoms in a particular condition, but if the effect size is small, the clinical significance may be questionable. In such cases, the treatment may be statistically effective, but its practical impact on the patient’s quality of life might be minimal.<\/p>\n

Each of these findings can be used to advance an evidenced-based practice project in such a way. Statistically significant findings are essential for determining whether there is a genuine effect in the study. When conducting an evidence-based practice project, researchers use statistical analyses to determine whether the intervention being studied produces meaningful outcomes compared to the control intervention. If the findings are statistically significant, it suggests that the intervention has a measurable impact and that the results are unlikely to be due to chance alone. This information can guide healthcare practitioners in deciding whether to adopt the intervention in their practice.<\/p>\n

Clinically significant evidence is equally vital in evidence-based practice. While statistical significance helps establish the existence of an effect, clinical significance evaluates the practical value of the intervention in real-life settings. Clinicians and researchers must consider whether the observed effects are meaningful and relevant to patients’ well-being. Even if an intervention is statistically significant, it might not be clinically significant if the observed differences are too small to make a tangible difference in patient outcomes.<\/p>\n

Polit, D. F., & Beck, C. T. (2020).\u00a0Nursing Research: Generating and Assessing Evidence for Nursing Practice<\/em>. LWW.<\/p>\n

A Sample Answer 2 For the Assignment: NUR 590 Discuss the difference between statistically significant evidence and clinically significant evidence<\/strong><\/h2>\n

Title: <\/strong>\u00a0<\/strong>NUR 590 Discuss the difference between statistically significant evidence and clinically significant evidence<\/h2>\n

One of the major focuses of research efforts is to improve patient outcomes. As such, the data collected during the research should be analyzed, and a conclusion made to help describe the implications and significance of the patient issues at hand. In the process of analysis and conclusion, researchers can use developed and established research standards to indicate whether the results are clinically significant, statistically significant, or both (Grove & Cipher, 2019). Clinical significance and statistical significance are usually used in research to help describe the results obtained in reference to the problem at hand.<\/p>\n

Even though the two terms are important in research, they have two different meanings. Statistical significance means that the difference or relationship observed between two or more variables in a research effort is a result of a particular intervention that has been implemented and not just by chance (Sharma, 2021). The implication is that when this term is used, it is a reflection of the likelihood of the observed differences being a true reflection of an implemented intervention and not by chance. As per normal research guidelines, a research result is considered statistically significant if the p-value is lower than 0.05.<\/p>\n

Clinical significance is also used to help in further description of the results obtained in research, especially nursing research. It is a subjective interpretation of the evidence obtained and has a meaning in reference to the patients in the research. The implication is that the interpretation is open to the investigator bias. In nursing research, findings are said to be clinically significant in cases where the investigator or researcher believes that the results are medically beneficial or important; as such, they can be used as guidelines to improve care outcomes. Statistical and clinical significance are both useful in supporting evidence-based practice projects (Griffiths & Needleman, 2019). For instance, statistical significance can be applied when creating EBP guidelines. In addition, clinical significance can be used to direct care as part of EBP.<\/p>\n

References<\/strong><\/h2>\n

Grove, S. K., & Cipher, D. J. (2019).\u00a0Statistics for nursing research-e-book: a workbook for evidence-based practice<\/em>. Elsevier Health Sciences.<\/p>\n

Griffiths, P., & Needleman, J. (2019). Statistical significance testing and p-values: Defending the indefensible? A discussion paper and position statement.\u00a0International Journal of Nursing Studies<\/em>,\u00a099<\/em>, 103384.\u00a0https:\/\/doi.org\/10.1016\/j.ijnurstu.2019.07.001<\/a><\/p>\n

Sharma, H. (2021). Statistical significance or clinical significance? A researcher’s dilemma for appropriate interpretation of research results.\u00a0Saudi Journal of Anaesthesia<\/em>,\u00a015<\/em>(4), 431. https:\/\/doi.org\/10.4103%2Fsja.sja_158_21<\/a><\/p>\n

A Sample Answer 3 For the Assignment: NUR 590 Discuss the difference between statistically significant evidence and clinically significant evidence<\/strong><\/h2>\n

Title: <\/strong>\u00a0<\/strong>NUR 590 Discuss the difference between statistically significant evidence and clinically significant evidence<\/h2>\n

Statistically significant evidence is evidence that demonstrates that there is a difference occurring within the examined groups, however, this does not necessarily demonstrate clinical significance of the data. Even though collected data may demonstrate changes that seem to correspond with an intervention, these findings may not make a clinical difference for the studied population (Melnyk & Fineout-Overholt, 2019). In order to prove clinical significance, the results should have effects that are both genuine and quantifiable, or statistically supported. This plays a key role in validating data gathered from pharmaceutical testing, vaccine testing, and other areas of medical research such as medical device testing (Clinical Significance vs. Statistical Significance – Side-by-Side Comparison<\/em>, 2023).<\/p>\n

Despite these differences, both clinical and statistical significance are important factors to consider when interpreting data for use in evidence-based research. The ultimate goal of these types of studies is the betterment of healthcare delivery and benefits to positive patient outcomes. While clinical significance demonstrates the applicability of findings, statistical significance determines whether study interventions caused the outcomes or whether they happened by chance (Melnyk & Fineout-Overholt, 2019). Being mindful of this knowledge allows for data gathered from evidence-based research to be more properly applied in research studies. After determining the statistical significance of results and ensuring that the intervention does demonstrate an impact on the outcomes, we can then apply this knowledge to assessing its implications for use in clinical practice (Clinical Significance vs. Statistical Significance – Side-by-Side Comparison<\/em>, 2023).<\/p>\n

References<\/h2>\n

Clinical Significance vs. Statistical Significance – Side-by-Side Comparison<\/em>. (2023, May 12). Mhaonline. https:\/\/www.mhaonline.com\/faq\/clinical-vs-statistical-significance<\/a><\/p>\n

Melnyk, B. M., & Fineout-Overholt, E. (2019).\u00a0Evidence-based practice in nursing and healthcare: A guide to best practice<\/em>\u00a0(4th ed.). Wolters Kluwer. ISBN-13: 9781496384539<\/p>\n