NURS FPX 6414 Assessment 2 Video Presentation and Spreadsheet: Proposal to Administration Data Spreadsheet

NURS FPX 6414 Assessment 2 Video Presentation and Spreadsheet: Proposal to Administration

Data Spreadsheet

The World Health Organization reveals that diabetes mellitus represents a substantial global health challenge for healthcare professionals. Between the 1980s and 2015, the adult population suffering from this disease doubled from 4.7 to 8.5% (Agarwal et al., 2019). According to the American Diabetes Association ADA, the following statistics and type 2 diabetes figures and stats are crucial to consider in the datasheet. Diabetes has been the seventh most prominent cause of death in the USA since 2019, with almost 87,647 death certificates (Adam, 2018). The following datasheet shows facts for different races of Americans suffering from higher and lower rates of diabetes due to their education and racial preferences and issues. 

Conclusion

The above data analysis of type 2 diabetes self-management shows a deep relationship between individuals’ education levels and diabetes disease in the United States. Behavioral self-management is crucial for nurses and patients to reduce the prevalence of a higher rate of diabetes. The data evidence shows that many countries, including the US, have a diabetes diagnosis rate that is steady growth due to lower education of patients and racial differences. 

References 

Adam, L., O’Connor, C., & Garcia, A. C. (2018). Evaluating the impact of diabetes self-management education methods on knowledge, Attitudes, and Behaviours of Adult Patients With Type 2 Diabetes Mellitus. Canadian Journal of Diabetes, 42(5), 470–477.e2.
https://doi.org/10.1016/j.jcjd.2017.11.003

Agarwal, P., Mukerji, G., Desveaux, L., Ivers, N. M., Bhattacharyya, O., Hensel, J. M., Shaw, J., Bouck, Z., Jamieson, T., Onabajo, N., Cooper, M., Marani, H., Jeffs, L., & Bhatia, R. S. (2019). Mobile app for improved self-management of type 2 diabetes: Multicenter pragmatic randomized controlled trial. JMIR mHealth and uHealth, 7(1), e10321. https://doi.org/10.2196/10321