Diabetes Affects A Growing Number Of Americans

Diabetes Affects a Growing Number Of Americans An Advanced Practice N

Diabetes prevalence is influenced by various social determinants of health, including socioeconomic status, education level, access to nutritious foods, healthcare access, and neighborhood environment. These factors significantly contribute to the risk and incidence of diabetes among different populations. For example, individuals living in food deserts or with limited healthcare access are more susceptible to developing and managing diabetes poorly (Walker et al., 2019). Addressing these social determinants is essential for community-based interventions and preventive strategies, as they can modify individual risk factors and improve overall health outcomes. Recognizing and targeting these determinants can help healthcare providers, including advanced practice registered nurses (APRNs), develop culturally competent and effective programs tailored to the community's specific needs.

In addition to understanding social determinants, APRNs can utilize various resources such as national databases, electronic health records (EHRs), and community health assessments to identify outcomes related to diabetes. The Agency for Healthcare Research and Quality’s (AHRQ) Healthcare Quality and Disparities Report Data Query provides comprehensive data on diabetes management, incidents, and disparities at both the national and state levels (AHRQ, 2020). The data aids APRNs in tracking trends, evaluating intervention effectiveness, and identifying disparities among different demographic groups. The community may prioritize outcomes such as glycemic control, hospitalization rates, and prevalence of diabetes-related complications, which are critical indicators of effective management and prevention efforts. Understanding these outcomes allows APRNs to tailor interventions, advocate for resources, and measure progress toward reducing the burden of diabetes within the community.

Paper For Above instruction

Diabetes mellitus has emerged as a significant public health concern due to its rising prevalence, especially within diverse communities across the United States. The social determinants of health play a critical role in influencing diabetes risk and its management outcomes. Factors such as socioeconomic status, education, access to healthcare, food security, and neighborhood conditions contribute substantially to disparities in diabetes incidence and control (Walker et al., 2019). Communities facing economic hardships or living in food deserts often lack access to healthy foods and regular healthcare services, which increases their vulnerability to developing diabetes and experiencing complications (Walker et al., 2019). Consequently, community health initiatives led by advanced practice registered nurses (APRNs) must consider these social determinants to design effective prevention and intervention strategies. Addressing structural barriers, promoting health literacy, and improving access to resources are vital components of community-based efforts targeting diabetes prevention.

To effectively manage and improve diabetes outcomes, APRNs can leverage various data resources. The Agency for Healthcare Research and Quality’s (AHRQ) Healthcare Quality and Disparities Report offers a wealth of data on healthcare quality indicators, disparities, and specific outcomes related to diabetes at the national and state levels (AHRQ, 2020). For instance, this data can reveal prevalence rates, hospitalization frequencies, and control benchmarks across different populations, informing targeted interventions. By analyzing these datasets, APRNs are better equipped to identify disparities and areas requiring resource allocation. Moreover, community members are often most concerned with outcomes such as the rate of uncontrolled blood glucose, prevalence of diabetic complications like neuropathy or retinopathy, and hospitalization rates for hyperglycemia or hypoglycemia. Focusing efforts on these community-prioritized outcomes facilitates more tailored, culturally appropriate care and enhances the overall effectiveness of community health programs.

References

  • AHRQ. (2020). Healthcare Quality and Disparities Report Data Query. https://nhqrnet.ahrq.gov/inhqrdr/data/submit
  • Walker, R. J., Smalls, B. L., Hernandez, R., & Egede, L. E. (2019). Impact of social determinants of health on outcomes of patients with diabetes. The Diabetes Educator, 45(6), 560–569. https://doi.org/10.1177/0145721719853920
  • Brown, A. F., Hendricks, M. K., & Ayanian, J. Z. (2019). Social determinants of health and disparities in diabetes outcomes. Medical Care, 57(7), 573–578. https://doi.org/10.1097/MLR.0000000000001156
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  • Holt, R. I. G., de Groot, M., & Miller, K. M. (2017). Management of diabetes in social contexts. The Lancet Diabetes & Endocrinology, 5(8), 652–660. https://doi.org/10.1016/S2213-8587(17)30186-3
  • Stern, L. S., & Schumann, L. (2020). Community health and diabetes: Approaches to reducing disparities. American Journal of Public Health, 110(4), 457–462. https://doi.org/10.2105/AJPH.2020.305602
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  • Centers for Disease Control and Prevention (CDC). (2023). Diabetes data and statistics. https://www.cdc.gov/diabetes/data
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