NUR 590 Discuss the difference between statistically

Grand Canyon University NUR 590 Discuss the difference between statistically significant evidence and clinically significant evidence-Step-By-Step Guide

This guide will demonstrate how to complete the Grand Canyon University NUR 590 Discuss the difference between statistically significant evidence and clinically significant evidence assignment based on general principles of academic writing. Here, we will show you the A, B, Cs of completing an academic paper, irrespective of the instructions. After guiding you through what to do, the guide will leave one or two sample essays at the end to highlight the various sections discussed below.

How to Research and Prepare for NUR 590 Discuss the difference between statistically significant evidence and clinically significant evidence

Whether one passes or fails an academic assignment such as the Grand Canyon University NUR 590 Discuss the difference between statistically significant evidence and clinically significant evidence depends on the preparation done beforehand. The first thing to do once you receive an assignment is to quickly skim through the requirements. Once that is done, start going through the instructions one by one to clearly understand what the instructor wants. The most important thing here is to understand the required format—whether it is APA, MLA, Chicago, etc.

After understanding the requirements of the paper, the next phase is to gather relevant materials. The first place to start the research process is the weekly resources. Go through the resources provided in the instructions to determine which ones fit the assignment. After reviewing the provided resources, use the university library to search for additional resources. After gathering sufficient and necessary resources, you are now ready to start drafting your paper.

How to Write the Introduction for NUR 590 Discuss the difference between statistically significant evidence and clinically significant evidence

The introduction for the Grand Canyon University NUR 590 Discuss the difference between statistically significant evidence and clinically significant evidence is where you tell the instructor what your paper will encompass. In three to four statements, highlight the important points that will form the basis of your paper. Here, you can include statistics to show the importance of the topic you will be discussing. At the end of the introduction, write a clear purpose statement outlining what exactly will be contained in the paper. This statement will start with “The purpose of this paper…” and then proceed to outline the various sections of the instructions.

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How to Write the Body for NUR 590 Discuss the difference between statistically significant evidence and clinically significant evidence

After the introduction, move into the main part of the NUR 590 Discuss the difference between statistically significant evidence and clinically significant evidence assignment, which is the body. Given that the paper you will be writing is not experimental, the way you organize the headings and subheadings of your paper is critically important. In some cases, you might have to use more subheadings to properly organize the assignment. The organization will depend on the rubric provided. Carefully examine the rubric, as it will contain all the detailed requirements of the assignment. Sometimes, the rubric will have information that the normal instructions lack.

Another important factor to consider at this point is how to do citations. In-text citations are fundamental as they support the arguments and points you make in the paper. At this point, the resources gathered at the beginning will come in handy. Integrating the ideas of the authors with your own will ensure that you produce a comprehensive paper. Also, follow the given citation format. In most cases, APA 7 is the preferred format for nursing assignments.

How to Write the Conclusion for NUR 590 Discuss the difference between statistically significant evidence and clinically significant evidence

After completing the main sections, write the conclusion of your paper. The conclusion is a summary of the main points you made in your paper. However, you need to rewrite the points and not simply copy and paste them. By restating the points from each subheading, you will provide a nuanced overview of the assignment to the reader.

How to Format the References List for NUR 590 Discuss the difference between statistically significant evidence and clinically significant evidence

The very last part of your paper involves listing the sources used in your paper. These sources should be listed in alphabetical order and double-spaced. Additionally, use a hanging indent for each source that appears in this list. Lastly, only the sources cited within the body of the paper should appear here.

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Sample Answer for NUR 590 Discuss the difference between statistically significant evidence and clinically significant evidence

Re: Topic 6 DQ 2

Statistical significance refers to the likelihood that an observed effect or association is not due to random chance. It indicates that the results obtained are unlikely to have occurred purely by accident (Sharma, 2021). A p-value measures the magnitude of an observed phenomenon. It could be the correlation between two variables, the mean difference between groups, or the risk of a specific event. A common statistical measure that quantifies the evidence against the null hypothesis. A low p-value (typically < 0.05) suggests statistical significance. On the other hand, clinical significance also known as practical significance, assigns importance to a result based on its genuine and quantifiable effects in a clinical context. It involves a number needed to treat (NNT) which is an effect size that measures the average number of patients who need to be treated to prevent one additional adverse outcome or to benefit one patient over the control group (Sharma, 2021).

Both statistical and clinical significance are crucial in advancing evidence-based practice. Researchers use statistical significance to determine whether an intervention or treatment has an effect beyond what would be expected by chance. However, statistical significance alone does not guarantee practical relevance or meaningful impact in real-world scenarios (Sharma, 2021). On the other hand, Evidence-based practice projects use clinically significant findings to guide treatment decisions, improve patient outcomes, and inform guidelines. Clinically significant findings are reproducible to a higher degree than those merely statistically significant. In practice, clinicians consider whether an observed effect is meaningful for patient care. For instance, if a drug reduces heart attacks by 1% (statistically significant), but the NNT is 100, it may not be clinically significant. Conversely, a 10% reduction in heart attacks (clinically significant) with an NNT of 10 would be more impactful. While statistical significance validates the reliability of study results, clinical significance assesses their impact on real-world practice. Both aspects are crucial for evidence-based decision-making, ensuring that research findings translate into meaningful benefits for patients and healthcare systems (Sharma, 2021)

References

Sharma, H. (2021). Statistical significance or clinical significance? A researcher’s dilemma for appropriate interpretation of research results. Saudi Journal of Anaesthesia,15(4), 431-434. doi: 10.4103/sja.sja_158_21

Sample Answer 2 for NUR 590 Discuss the difference between statistically significant evidence and clinically significant evidence

Statistically significant evidence and clinically significant evidence are two concepts frequently discussed in research. Statistically significant evidence indicates the researchers’ results demonstrate a relationship between variables, rather than results produced by chance. Clinically significant evidence indicates if results/ data is relevant or meaningful for stakeholders. The primary difference between statistically significant evidence and clinically significant evidence is, “that the clinical significance observes dissimilarity between the two groups or the two treatment modalities, while statistical significance implies whether there is any mathematical significance to the carried analysis of the results or not,” (Sharma, 2021). Understanding the difference between types of evidence and their relevance is essential to interpreting data and applying research findings.

Both statistically significant and clinically significant research findings can be used to advance evidence-based practice projects. Statistically significant findings can be used to identify treatments or interventions that could potentially affect patient care. This data highlights the relationship between variables that could possibly lead to the formation of an evidence-based intervention. Clinically significant research can lead to interventions being implemented into patient care practices. Data that is deemed clinically significant could have an impact on patient safety and patient outcomes. From this information, evidence-based changes are implemented into practice.

Reference:

NUR-590 Topic 7 DQ 1 Sample Answer

Evidence-based practice (EBP) projects generate varying findings about a particular intervention for a clinical problem. Ravinetto and Singh (2020) described dissemination as the targeted distribution of research information and materials to a specific public health or clinical practice audience. Since this distribution promotes large-scale implementation of the findings to maximize its benefits, particular attention to the dissemination strategies is critical. Commonly, dissemination strategies vary with the type and purpose of the research. They could be internal through report summaries to the targeted audience, using the organization’s education pages, and organization-wide presentations. A suitable strategy for organization-wide presentation is in-person meetings and communications with the organizational staff (Ashcraft et al., 2020). External dissemination includes printing in both mainstream and social media. For instance, the findings can be published in peer-reviewed journals or presented during nursing associations’ conferences (Matas, 2023). The choice of each strategy depends on effectiveness, cost, timing, and the targeted end users.

Stakeholders include individuals interested in the research findings and can maximize its benefits, which is the primary objective. For the proposed project (weekly exercise program to improve functional performance and independence among older adults), the organizational leaders and nursing colleagues are appropriate internal reviewers. They can provide informed judgment regarding the value of the project and what could be addressed before publishing it on external sites. As Ross-Hellauer et al. (2020) posited, communication with the audience should focus on passing information to facilitate research uptake and understanding. Formal and informal methods will be used interchangeably to engage the targeted audience/stakeholders. They include in-person meetings for direct interaction and feedback, emails (electronic communication) for project summaries, and phone calls to guide and engage those requiring more clarification on specific project areas.

References

Ashcraft, L. E., Quinn, D. A., & Brownson, R. C. (2020). Strategies for effective dissemination of research to United States policymakers: a systematic review. Implementation Science, 15, 1-17. https://doi.org/10.1186/s13012-020-01046-3

Matas, J. (2023). Publication and dissemination of research results. In A Guide to Responsible Research (pp. 93-105). Cham: Springer International Publishing.

Ravinetto, R., & Singh, J. A. (2023). Responsible dissemination of health and medical research: some guidance points. BMJ Evidence-Based Medicine, 28(3), 144-147. https://doi.org/10.1136/bmjebm-2022-111967

Ross-Hellauer, T., Tennant, J. P., Banelytė, V., Gorogh, E., Luzi, D., Kraker, P., Pisacane, L., Ruggieri, R., Sifacaki, E., & Vignoli, M. (2020). Ten simple rules for innovative dissemination of research. PLoS Computational Biology, 16(4), e1007704. https://doi.org/10.1371/journal.pcbi.100770