NURS-FPX 6414 Advancing Health Care Through Data Mining Proposal to Administration Enhancing Type 2 Diabetes Self-Management within Healthcare Organizations Introduction

Given the staggering number of individuals grappling with type 2 diabetes in the United States, measuring specific outcomes becomes imperative to facilitate patient education on self-management through diabetes self-management education (Adam, 2018). Diabetes Self-Management Education and Support (DSMES) programs, for instance, furnish patients with educational resources and support aimed at effectively managing their condition.

These initiatives strive to empower community members, fostering increased self-awareness and cultivating positive self-management behaviors. Moreover, the Chronic Disease Management System (CDMS) plays a pivotal role in aiding individuals to maintain lower blood glucose levels, thereby mitigating 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 related to type 2 diabetes, as outlined by the American Diabetes Association, advocate for the majority of individuals in the United States with the condition to strive for an acceptance rate of less than 7% (van Smoorenburg et al., 2019). Additionally, significant emphasis is placed on achieving a weight reduction of up to 15% through the efficacy of medications (Apovian et al., 2018). Furthermore, addressing the patient mortality rate, currently at 5%, remains critical, primarily due to suboptimal hospital care quality.

Evaluation of Data Measures and Trends

Several data measures and trends necessitate consideration when evaluating this particular line of service. Notable data measures, supported by available evidence, include:

• Early patient mortality rates.
• Reduced life expectancy of patients.
• Type 2 diabetes readmission rate of approximately 25% in the United States.
• Direct correlation between lower education levels and increased disease prevalence.
• Lower likelihood of diagnosis among highly educated individuals (Wu, 2019).
• Elevated risk of type 2 diabetes among Hispanic and black Americans compared to other ethnic groups.

NURS FPX 6414 Assessment 2 Proposal to Administration

Interpretation of Data in Relation to Benchmarks

The incidence rate of type 2 diabetes has steadily risen in numerous Western countries over the past four decades, with little reduction in the current decade (Winkley et al., 2020). Recent years have witnessed a decline in the incidence rate among middle-aged and baby boomer populations, suggesting an increased risk of the disease among younger individuals over the past decade. Moreover, specific blood sugar level thresholds, such as values exceeding 140 mg/dL, indicate abnormal or elevated readings, with levels surpassing 200 mg/dL signifying a higher likelihood of diabetes. This underscores 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. Between the 1980s and 2015, the prevalence of diabetes among adults doubled from 4.7% to 8.5% (Agarwal et al., 2019). Notably, diabetes has ranked as the seventh leading cause of death in the USA since 2019, accounting for approximately 87,647 death certificates (Adam, 2018). The following datasheet presents statistics related to type 2 diabetes across different racial demographics in the United States, considering factors such as education and racial disparities.

Conclusion

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

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.

Apovian, C. M., Ok