our Clinicians face significant challenges in managing diabetes care due to limited time and resources, which often results in reluctance to initiate insulin therapy and a need for patients to modify their habits. The evolving nature of professional responsibilities has created uncertainty, leading to frequent complaints and anxieties from patients undergoing medication adjustments (Tsapas et al., 2020). Patients and healthcare providers may need more knowledge and skills to meet target blood glucose, blood pressure, and cholesterol levels. The constantly changing treatment criteria further complicate this issue, causing errors in practice and diminishing professionals’ confidence in escalating treatment. Patients often miss initial appointments due to poor adherence, advanced age, and psychological issues. Public misconceptions about therapy, combined with the complexity and cost of pharmaceutical regimens, hinder effective diabetes management. The increasing complexity of diabetes treatment frustrates primary care practitioners, who must compromise care quality to meet evolving goals within time constraints. Effective diabetes management requires focusing on nutrition, education, and personalized care plans to foster healthy habits (Li et al., 2023). Hospitals should evaluate patient care time and workforce efficiency, integrating multiple behavioral modification strategies to improve outcomes and prevent complications such as hypertension and arterial stiffening.

Description

Diabetes and pre-diabetes are on the rise. Research by Duan et al. (2021) reveals that over 130 million people in the United States are affected by diabetes or pre-diabetes. This increase is notably higher among racial and ethnic minorities, with African Americans and Hispanics facing significantly greater risks of hospitalization and diagnosis compared to white individuals. For example, diabetes prevalence is 77% higher in African Americans and 66% higher in Hispanics (Khunti et al., 2022). Insulin resistance, often caused by obesity and excess fatty tissue, is a significant contributor to diabetes. Race, family history, and inactivity also play a role. Effective diabetes management requires implementing evidence-based strategies, such as smart goals. For instance, cutting portions and making dietary changes can help reduce insulin levels (Rosta et al., 2023). Enhanced disease management, including e-health tools and process redesign, is essential to improve care. Increasing team accountability and focusing on nutrition and education can help patients develop healthier habits and better manage their condition (Yao et al., 2024).

Summary and Reflection 

Nurses who make clinical decisions benefit both patients and the healthcare team (Khunti et al., 2022). Effective diabetes management significantly improves patients’ quality of life, especially for those whose A1C levels are uncontrolled. African Americans, Hispanics, and other minority groups have higher diabetes rates than white individuals. Proper diagnosis and treatment could prevent many diabetes-related amputations, reducing clinical compromises that frustrate physicians. Challenges include adhering to evolving standards and educating patients on healthy eating and active lifestyles. The rising prevalence of diabetes highlighted by Pradhan et al. (2022) underscores the need for improved e-healthcare technologies and restructuring care processes to support patients and caregivers better. Many families may lack adequate knowledge about diabetes and its management.Also visit our MAT FPX 2001 Assessment 1

NURS FPX 6202 Assessment 1 Root Cause Analysis References

Alnaim, N., Ghadeer, A., Bunyan, A., Almulhem, A., Alsaleh, Y., AlHelal, M., Almugaizel, I., Alhashim, Z., Alhamrani, M., & Bosrour, A. (2024). Effectiveness of insulin pump therapy versus multiple daily injections for glycemic control and rate of diabetic ketoacidosis among children with type 1 diabetes mellitus. Cureus, 16(2), e54123. https://doi.org/10.7759/cureus.54123 Duan, D., Kengne, A. P., & Echouffo, J. B. (2021). Screening for diabetes and prediabetes. Endocrinology and Metabolism Clinics of North America, 50(3), 369–385. https://doi.org/10.1016/j.ecl.2021.05.002 Guan, Z., Li, H., Liu, R., Cai, C., Liu, Y., Li, J., Wang, X., Huang, S., Wu, L., Liu, D., Yu, S., Wang, Z., Shu, J., Hou, X., Yang, X., Jia, W., & Sheng, B. (2023). Artificial intelligence in diabetes management: Advancements, opportunities, and challenges. Medicine, 4(10), 101213. https://doi.org/10.1016/j.xcrm.2023.101213 Khunti, K., Aroda, R., Aschner, P., Chan, N., Prato, S., Hambling, E., Harris, S., Lamptey, R., McKee, M., Tandon, N., Valabhji, J., & Seidu, S. (2022). The impact of the COVID-19 pandemic on diabetes services: Planning for a global recovery. The Lancet. Diabetes & Endocrinology, 10(12), 890–900. https://doi.org/10.1016/S2213-8587(22)00278-9