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NURS FPX 6414 Assessment 2 Proposal to Administration

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    NURS FPX 6414 Assessment 2 Proposal to Administration

    Student Name

    Capella University

    NURS-FPX 6414 Advancing Health Care Through Data Mining

    Prof. Name


    Proposal to Administration

    Title: Enhancing Type 2 Diabetes Self-Management in Healthcare Organizations


    Type 2 Diabetes (T2D) self-management requires a collaborative effort among healthcare professionals, nurses, and stakeholders to effectively control the condition (Winkley et al., 2020). Given the substantial number of diagnosed cases in the United States, it is crucial for patients to acquire the knowledge and skills needed for effective health monitoring. This presentation explores various aspects of diabetes self-management within healthcare organizations, encompassing blood sugar monitoring, adherence to balanced meal plans, and the incorporation of regular exercise regimens (Agarwal et al., 2019). The study aims to elucidate the rationale and methods employed in monitoring type 2 diabetes outcomes to enhance patient care.

    Rationale for Measuring Specific Quality Outcomes

    With over 500 million individuals in the United States grappling with type 2 diabetes, measuring specific outcomes is essential for patient education on self-management through Diabetes Self-Management Education (DSME) programs (Adam, 2018). DSME programs provide patients with educational resources and support, aiming to empower community members with increased self-awareness and foster positive self-management behaviors. The Chronic Disease Management System (CDMS) is instrumental in helping individuals maintain lower blood glucose levels, thereby reducing complications and contributing to cost reduction in healthcare settings (Agarwal et al., 2019). Outcome measures also serve as crucial benchmarks for establishing a patient’s baseline.

    Benchmarks Associated with Specific Outcomes

    Benchmarks for type 2 diabetes, as defined by the American Diabetes Association, suggest an acceptance rate of less than 7% and a weight reduction goal of up to 15% (van Smoorenburg et al., 2019; Apovian et al., 2018). The patient mortality rate, currently at 5%, remains high due to suboptimal hospital care quality.

    Evaluation of Data Measures and Trends

    Several data measures and trends must be considered, including early patient mortality rates, reduced life expectancy, a type 2 diabetes readmission rate of approximately 25% in the United States, a correlation between lower education levels and increased disease prevalence, a lower likelihood of diagnosis among highly educated individuals (Wu, 2019), and an elevated risk of type 2 diabetes among Hispanic and black Americans. The incidence rate of type 2 diabetes has steadily risen, with recent years indicating a decline among middle-aged and baby boomer populations, suggesting an increased risk among younger individuals. Specific blood sugar level thresholds, such as values exceeding 140 mg/dL, are indicative of abnormal readings, emphasizing the importance of type 2 diabetes self-management programs in reducing readmission rates.

    Data Spreadsheet

    The World Health Organization highlights diabetes mellitus as a significant global health challenge. From the 1980s to 2015, the prevalence of diabetes among adults doubled from 4.7% to 8.5% (Agarwal et al., 2019). Diabetes has been the seventh leading cause of death in the USA since 2019, accounting for approximately 87,647 death certificates (Adam, 2018). The attached datasheet presents statistics related to type 2 diabetes across different racial demographics in the United States, considering factors such as education and racial disparities.


    The data analysis underscores a strong association between individuals’ education levels and diabetes prevalence in the United States. Behavioral self-management is critical for both healthcare professionals and patients to address the escalating rates of diabetes. The evidence suggests that diabetes diagnosis rates continue to rise steadily, primarily due to lower patient education levels and racial disparities.


    Adam, L., O’Connor, C., & Garcia, A. C. (2018). Evaluating the impact of diabetes self-management education methods on knowledge, attitudes, and behaviors of adult patients with type 2 diabetes mellitus. Canadian Journal of Diabetes, 42(5), 470–477.e2.

    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.

    NURS FPX 6414 Assessment 2 Proposal to Administration

    Apovian, C. M., Okemah, J., & O’Neil, P. M. (2018). Body weight considerations in the management of type 2 diabetes. Advances in Therapy, 36(1), 44–58.

    van Smoorenburg, A. N., Hertroijs, D. F. L., Dekkers, T., Elissen, A. M. J., & Melles, M. (2019). Patient’s perspective on self-management: Type 2 diabetes in daily life. BMC Health Services Research, 19(1), 605.

    NURS FPX 6414 Assessment 2 Proposal to Administration

    Winkley, K., Upsher, R., Stahl, D., Pollard, D., Kasera, A., Brennan, A., Heller, S., & Ismail, K. (2020). Psychological interventions to improve self-management of type 1 and type 2 diabetes: A systematic review. Health Technology Assessment (Winchester, England), 24(28), 1–232.

    Wu, F. L., Tai, H. C., & Sun, J. C. (2019). Self-management experience of middle-aged and older adults with Type 2 Diabetes: A qualitative study. Asian Nursing Research, 13(3), 209–215.