Name
Capella University
FPX6414
Instructor’s Name
October 03, 2024
Proposal to Administration
Overview of Type 2 Diabetes Self-Care Management The management of type 2 diabetes self-care entails several activities that are aimed at managing the condition for the benefit of the patient. A review defines T2D self-management as a process that includes healthcare professionals, nurses, and other stakeholders in managing the disease (Cho et al., 2021). Since T2D impacts millions of the population of the United States, one can agree with the importance new encouraging patients to manage their health condition independently. This proposal will identify some of these key components of diabetes self-management systems in healthcare organizations; the check of blood sugar, balanced dieting, and integration of patients’ exercise regimens. This has also been underlined as the need for the assessment of T2D results to elevate the level of treatment.
Why and How to Measure for a Specific Quality Outcome
Since more than half a billion people in the U.S. receive a diagnosis of Type 2 diabetes, it is crucial to assess patient outcomes in the context of self-management. Diabetes self-management education or DSMES is a model of best practice interventions intended to offer the necessary guidance to patients (Churuangsuk et al., 2022). These plans and interventions have the purpose of increasing patients’ level of knowledge in self-management, changing the actual behaviors of the patients, and decreasing related adverse effects of diabetes.
The Chronic Disease Management System (CDMS) helps in an additional way in declining the blood glucose level of the patient and their quality of life by involving education and support (Young et al., 2020). It is noteworthy that such measures enhance the effects of treatment improving patients’ conditions and, at the same time, allowing hospitals to decrease numerous costs that have connections with improperly managed diabetes. Outcome measurement is another crucial area to be able to determine a patient’s starting position and progress alternatively.
Benchmarks Associated with the Outcome
Reference data for T2D treatment are based on the recommendations outlined by the ADA. The majority of people with Type 2 diabetes have an appropriate standard for blood glucose below 7% (Subramanian et al., 2020). Moreover, a lot of attention is paid to slimming the patient to lose 15% of his weight by using drugs and changing his diet. It is also necessary to bear in mind that one more critical indicator is the mortality rate: 5% of patients with diabetes-related complications die a rate that can be explained with low-quality care within healthcare organizations.
Evaluating Data Measures and Trends
It was also established that some several data measures and trends are important when assessing the outcomes of T2D management. Key metrics include:
- First-year mortality rates in patients.
- Decreased lifespan of the patient with the specific case of diabetes put under control.
- 25 % readmission rate of patients with diabetes-related complications in some hospitals in the United States of America.
- Lower educational rates to higher incidences of diabetes.
- Diabetes prevalence is higher in Hispanics and Blacks as compared to other ethnic groups(Leite et al., 2020).
These data trends are an indication of the need to enhance specific health education and promotion that will decrease the incidence, morbidity, and mortality of T2D among high-risk groups.
Interpretation of Data Related to Benchmarks
Despite these discoveries in the development of Type 2 diabetes treatment, the incidence of this disease has continued to increase progressively in a lot of Western societies over the last forty years (Or et al., 2020). Although there is a trend towards minor decreases in incidence rates among middle-aged people and the ‘baby boom’ generation, the younger generation is at a higher risk of getting T2D. This shift calls for early diagnosis as well as intervention in a bid to ensure that diabetes is not contracted in the young persons’ groups.
One of the most important means of managing T2D is maintaining an appropriate level of blood sugar (Hildebrand et al., 2020). The recognized normal blood glucose level is below 140 mg/dL and a high blood glucose level is considered greater than 140 mg/Dl. Persons with fasting blood sugar of 140 – 200 mg/dL are considered to be at some extra risk of developing complications.
Data Spreadsheet
According to the WHO, diabetes mellitus is known as a catastrophic disease, as its rate grew from 4.7% in the 1980s to 8.5% in 2015. The ADA further estimates that in the United States diabetes was the seventh cause of death in 2019 and was responsible for 87,647 deaths related to diabetes complications (Hildebrand et al., 2020). Diabetes as the Seventh-Highest Cause of Death in the U.S. appeared first on Best Writing Advisors. Racial differences make it even worse since Hispanics and Blacks have a higher prevalence of Type 2 diabetes than Whites, at 12.5 % and 11.7%, respectively, compared to 7.5 % amongst Whites. These percentages must explain why diabetes education and intervention programs are so important for the populations of interest.
Another clear demographic indicator for diabetes is the education level attained by the population. More specifically, the worrying prevalence of informative inequalities was estimated in the Hispanic particularly Mexican and Puerto Rican- and less educated individuals, for they are usually deprived of adequate health and self-care information (Gao et al., 2023). For instance, persons with only a high school education or less, are nearly twice as likely to develop Type 2 diabetes compared to persons with a college education. Such disparities coupled with escalating costs of care, were estimated at 327 billion dollars for diabetes alone in the year 2017 necessitates the need to use data-based interventions to reduce the hospitalization recurrent admission rates, self-management, and the overall healthcare burden. The information to be gathered will be used as a background to help in designing better and fairer care interventions in the different demographic groups with diabetic complications.
NURS FPX 6414 Assessment 2 Conclusion
Considering the nature of Type 2 diabetes self-management it is clear that education and behavioral change interventions could significantly contribute to the decrease in the rate of diabetes morbidity and related complications (Lee et al., 2020). T2D is increasingly becoming a problem in the U.S., and the statistics reveal how lower literacy levels among people increase their susceptibility to diabetes most especially in minority groups. Self-management strategies that regulate behaviors recommended by the DSMES professionals can help lower the frequency and readmission risk of Type 2 diabetes substantially.
NURS FPX 6414 Assessment 2 References
Cho, M. K., & Kim, M. Y. (2021). Self-management nursing intervention for controlling glucose among diabetes: A systematic review and meta-analysis. International Journal of Environmental Research and Public Health, 18(23), 12750.https://www.mdpi.com/1660-4601/18/23/12750
Churuangsuk, C., Hall, J., Reynolds, A., Griffin, S. J., Combet, E., & Lean, M. E. J. (2022). Diets for weight management in adults with type 2 diabetes: An umbrella review of published meta-analyses and systematic review of trials of diets for diabetes remission. Diabetologia, 65(1), 14–36.https://link.springer.com/article/10.1007/s00125-021-05577-2
Gao, R., Guo, H., Liu, Y., Pang, Y., Zhang, X., Lian, X., Yu, T., Zhu, L., & Li, F. (2023). The effects of message framing on self-management behavior among people with type 2 diabetes: A randomized controlled trial. International Journal of Nursing Studies, 142, 104491.https://www.sciencedirect.com/science/article/abs/pii/S0020748923000561?via%3Dihub
Hildebrand, J. A., Billimek, J., Lee, J. A., Sorkin, D. H., Olshansky, E. F., Clancy, S. L., & Evangelista, L. S. (2020). Effect of diabetes self-management education on glycemic control in Latino adults with type 2 diabetes: A systematic review and meta-analysis. Patient Education and Counseling, 103(2), 266–275.https://www.sciencedirect.com/science/article/abs/pii/S073839911930415X?via%3Dihub
Lee, J., Lee, E. H., & Chae, D. (2020). Self-efficacy instruments for type 2 diabetes self-care: A systematic review of measurement properties. Journal of Advanced Nursing, 76(8), 2046–2059.https://onlinelibrary.wiley.com/doi/10.1111/jan.14411
Leite, R. G. O. F., Banzato, L. R., Galendi, J. S. C., Mendes, A. L., Bolfi, F., Veroniki, A. A., Thabane, L., & Nunes-Nogueira, V. D. S. (2020). Effectiveness of non-pharmacological strategies in the management of type 2 diabetes in primary care: A protocol for a systematic review and network meta-analysis. BMJ Open, 10(1), e034481.https://bmjopen.bmj.com/content/10/1/e034481
Or, C. K., Liu, K., So, M. K. P., Cheung, B., Yam, L. Y. C., Tiwari, A., Lau, Y. F. E., Lau, T., Hui, P. S. G., Cheng, H. C., Tan, J., & Cheung, M. T. (2020). Improving self-care in patients with coexisting type 2 diabetes and hypertension by technological surrogate nursing: randomized controlled trial. Journal of Medical Internet Research, 22(3), e16769.https://www.jmir.org/2020/3/e16769/
Polsook, R., Aungsuroch, Y., & Thontham, A. (2024). The effect of self-management intervention among type 2 diabetes: A systematic review and meta-analysis. Worldviews on Evidence-Based Nursing, 21(1), 59–67.https://sigmapubs.onlinelibrary.wiley.com/doi/10.1111/wvn.12688
Subramanian, S. C., Porkodi, A., & Akila, P. (2020). Effectiveness of nurse-led intervention on self-management, self-efficacy, and blood glucose level among patients with Type 2 diabetes mellitus. Journal of Complementary & Integrative Medicine, 17(3), 10.1515/jcim-2019-0064.https://www.degruyter.com/document/doi/10.1515/jcim-2019-0064/html
Young, H. M., Miyamoto, S., Dharmar, M., & Tang-Feldman, Y. (2020). Nurse coaching and mobile health compared with usual care to improve diabetes self-efficacy for persons with type 2 diabetes: Randomized Controlled Trial. JMIR Health and Health, 8(3), e16665.https://mhealth.jmir.org/2020/3/e16665
