MSN Writing Services

NURS FPX 6414 Assessment 2 Proposal to Administration

Student Name Capella University NURS-FPX 6414 Advancing Health Care Through Data Mining Prof. Name Date    Proposal to Administration: Type 2 Diabetes (T2D) Self-Management Initiatives Type 2 Diabetes (T2D) self-management encompasses various actions and strategies. Winkley et al. (2020) define T2D self-management as the collaborative efforts of healthcare professionals, nurses, and stakeholders to address and regulate the condition affecting millions of US citizens. Given the prevalence of type 2 diabetes, it is crucial for patients to acquire proper self-monitoring skills. This presentation explores key aspects of diabetes self-management within healthcare organizations, including blood sugar testing, balanced meal planning, and the promotion of regular exercise for patients (Agarwal et al., 2019). The study aims to elucidate the significance of monitoring type 2 diabetes outcomes to enhance patient care. Rationale for and Methodology of Outcome Measurement With over 500 million people in the US diagnosed with type 2 diabetes, measuring specific outcomes is essential to assist patients in acquiring self-management skills through diabetes self-management education (Adam, 2018). Programs like DSMES provide educational support to help patients control their disease, fostering community awareness and positive self-management behaviors. Additionally, the Chronic Disease Management System (CDMS) plays a pivotal role in managing blood sugar levels and reducing complications, ultimately enhancing patient quality of life and reducing healthcare costs (Agarwal et al., 2019). Outcome measures serve as crucial standards for establishing patient baselines. Benchmark Criteria According to the American Diabetes Association, the benchmark for acceptable blood sugar levels in the United States is below 7% (van Smoorenburg et al., 2019). Emphasis is also placed on achieving up to a 15% reduction in patient weight, based on the efficacy of medications (Apovian et al., 2018). Unfortunately, a 5% patient mortality rate underscores the need for improved hospital care quality. Evaluation of Data Measures and Trends Several data measures and trends warrant consideration in evaluating this specific line of service. Noteworthy data measures include early patient deaths, shortened lifespans, a 25% readmission rate for type 2 diabetes in the US, and the inverse relationship between education levels and disease prevalence. Additionally, the risk of type 2 diabetes is higher in Hispanic and Black Americans compared to other populations (Wu, 2019). Data Interpretation in Relation to Benchmarks The incidence rate of type 2 diabetes has steadily increased in Western countries over the past four decades, with a particular surge in the younger population in the last decade (Winkley et al., 2020). Blood sugar levels below 140 mg/dL are considered normal, while levels exceeding 200 mg/dL indicate a higher likelihood of diabetes. This underscores the importance of type 2 diabetes self-management programs in reducing readmission rates. Data Spreadsheet Diabetes mellitus poses a significant global health challenge, with the adult population affected doubling from 4.7% to 8.5% between the 1980s and 2015 (Agarwal et al., 2019). Notably, diabetes has been the seventh leading cause of death in the USA since 2019, with almost 87,647 death certificates (Adam, 2018). The datasheet provides crucial statistics on type 2 diabetes across different races in the US, considering education and racial disparities. NURS FPX 6414 Assessment 2 Proposal to Administration Conclusion The analysis of type 2 diabetes self-management data reveals a profound correlation between individuals’ education levels and diabetes prevalence in the United States. Behavioral self-management is pivotal for both nurses and patients in mitigating the higher rates of diabetes. The evidence suggests a steady increase in diabetes diagnoses in the US, influenced by lower patient education and racial disparities. References 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. https://doi.org/10.1016/j.jcjd.2017.11.003 Agarwal, P., Mukerji, G., Desveaux, L., Ivers, N. M., Bhattacharyya, O., Hensel, J. M., … 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 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. https://doi.org/10.1007/s12325-018-0824-8 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. https://doi.org/10.1186/s12913-019-4384-7 NURS FPX 6414 Assessment 2 Proposal to Administration Winkley, K., Upsher, R., Stahl, D., Pollard, D., Kasera, A., Brennan, A., … 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. https://doi.org/10.3310/hta24280 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. https://doi.org/10.1016/j.anr.2019.06.002