ASSIGNMENT: REGRESSION ANALYSIS IN CLINICAL PRACTICE

Regression Analysis in Clinical Practice

Hatakeyama, Y., Seto, K., Amin, R., Kitazawa, T., Fujita, S., Matsumoto, K., & Hasegawa, T. (2019). The structure of the quality of clinical practice guidelines with the items and overall assessment in AGREE II: a regression analysis. BMC health services research, 19(1), 1-8. https://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-019-4532-0

Exploring the relationship between individual scores and an overall assessment of a committee’s research is one of the main objectives of clinical researchers. This study seeks to uncover whether certain criteria such as rigour of development, clarity of presentation, applicability, editorial independence, specific/unambiguous recommendations, advice/tools for implementing recommendations, and conflicts of interests influence the overall assessment which can help inform future decisions and actions. Through understanding this relationship better conscious effort may be made towards appropriate evaluation of research output in order to render greater objectivity and accuracy in assessing it.
From the study, regression analysis was used to evaluate the influence of 6 domains and 23 items on the overall assessment. In particular, the research conducted in this study proved to be actionable and informative (Hatakeyama et al., 2019). Regression analysis revealed that four domains notably influence the overall assessment on a project. These are Rigour of Development, Clarity of Presentation, Applicability, and Editorial Independence. This provides organizations and businesses with the opportunity to pay closer attention to these four aspects in order to develop projects that will receive a better assessment upon completion. These results are reliable and underscoring the need for business professionals to strive towards accurate communication and presentation of their products (Sarstedt & Mooi, 2019).

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There are different quantitative and statistical methods that could be used to address the research issue discussed in the article. For example, ANOVA could be used to show the association between the six variables including Rigour of Development, Clarity of Presentation, Applicability, and Editorial Independence, and the overall assessment on a project. Quantitative methods of data analysis offer a unique perspective to research as they allow us to quantify the relationship between variables. In this article, one such method which can be used is ANOVA. It can be used to test the association between the six variables considered in this study – Rigour of Development, Clarity of Presentation, Applicability, and Editorial Independence – and the overall assessment on the project. While existing qualitative evidence supports the notion of strong bonds among these categories, ANOVA can give further insight into this issue and help confirm or refute that idea (Mishra et al., 2019). This statistical approach would bring further clarity into our understanding of the research topics discussed in this article.
This study’s strength was in its utilization of primary data as the basis for analysis. Gathering primary data is important for understanding the topic being studied and also helps researchers stay ethically compliant. This study made sure to follow guidelines that protect participants’ rights and their personal or private information, accordingly reinforcing its commitment to research ethics. Adherence to research ethics ensures the integrity of the findings and culls insight from accurate sources with minimal potential for bias or inaccuracy.
Despite many strengths, the present study had some limitations that should be noted. One of these was the scope of its examined samples; the study only looked at CPGs developed by academic organizations, research groups, and other organizations in Japan. This limited both the range and potential insights gained from their examination. As such, it is important to note if any conclusions drawn from the results apply only to Japan or can be representative of other places as well. Nevertheless, this did not take away from the overall importance and validity of what was found in this thorough and applicable exploration.
To address the weaknesses, researchers could have broaden the scope of the study. In other words, the researchers could have used CPGs developed by academic organizations, research groups, and other organizations in Japan and other relevant institutions. The study presented is important to the evidence-based practice as it provides clinical and statistical outcomes that can be used to inform different research and evidence-based practice, as well as the nursing profession at large.

References
Hatakeyama, Y., Seto, K., Amin, R., Kitazawa, T., Fujita, S., Matsumoto, K., & Hasegawa, T. (2019). The structure of the quality of clinical practice guidelines with the items and overall assessment in AGREE II: a regression analysis. BMC health services research, 19(1), 1-8. https://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-019-4532-0
Mishra, P., Singh, U., Pandey, C. M., Mishra, P., & Pandey, G. (2019). Application of student’s t-test, analysis of variance, and covariance. Annals of cardiac anaesthesia, 22(4), 407. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6813708/
Sarstedt, M., & Mooi, E. (2019). Regression analysis. In A Concise Guide to Market Research (pp. 209-256). Springer, Berlin, Heidelberg. https://link.springer.com/chapter/10.1007/978-3-662-56707-4_7

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DISCUSSION: USE OF REGRESSION ANALYSIS IN CLINICAL PRACTICE

Regression analysis provides the researcher with an opportunity to predict and explore future outcomes. Whether it is to determine prevention methods, promote opportunities for learning, or propose new treatments, looking towards the future can have a significant impact on patient care and sustained positive patient outcomes.

This week, you explore regression analysis, paying particular attention to linear regression. Linear regression is used to â€œestimate the value of a dependent variable based on the value of an independent variableâ€ (Gray & Grove, 2020). In your Discussion, you will apply your understanding of this statistical technique as it concerns use in a research study.

For this Discussion, you will select an article on a study to examine the strengths and weaknesses in the use of linear regression. Consider how you might remedy the weaknesses associated with the application of linear regression and reflect on how the findings of the study that you selected might contribute to various areas of your practice.

TO PREPARE:

Â· Review the articles in this weekâ€™s Learning Resources and evaluate their use of linear regression. Select one article that interests you to examine more closely in this Discussion.

Â· Critically analyze the article that you selected and consider the strengths and weaknesses described.

Â· Reflect on potential remedies to address these weaknesses, and how the findings from this study may contribute to evidence-based practice, the field of nursing, or society in general.

BY DAY 3 OF WEEK 7

Post a brief description of the article that you selected, providing its correct APA citation. Critically analyze the article by addressing the following questions:

Â· What are the goals and purposes of the research study that the article describes?

Â· How is linear or logistic regression used in the study? What are the results of its use?

Â· What other quantitative and statistical methods could be used to address the research issue discussed in the article?

Â· What are the strengths and weaknesses of the study?

Then, explain potential remedies to address the weaknesses that you identified for the research article that you selected. Analyze the importance of this study to evidence-based practice, the nursing profession, or society. Be specific and provide examples.