What resources will you use to identify different outcomes related to diabetes? 

Curley Text Book: Exercises and Discussion Questions

  1. For different outcomes in diabetes I use a variety of data sources, including state-level and federal-level health departments, CDC and HP2020. These data sources offer information at the population level on diabetes-related outcomes such as morbidity and mortality, incidence, prevalence, rates, and cases. To find the most recent research on diabetes, I recommend that you consult academic journals as well as peer-reviewed journals.
  2. The outcomes related to diabetes that are of most interest to community members may vary depending on the community’s demographics and health needs. There are some common outcomes that may be of interest to community members: the incidence and prevalence of diabetes; the rates and complications of diabetes (such nephropathy or diabetic retinopathy); and the mortality rates related to diabetes-related disorders.
  3. For information about the national and state-level outcomes of diabetes, you can use these data sources to compare outcomes I choose to monitor at local and state levels. Healthcare providers are able to identify patterns and improve their interventions by comparing the outcomes at different levels (local, state and national).

One example of an article related to population health outcomes in the US is “Disparities in Health Outcomes by Race/Ethnicity and Language Preference in a Large Urban County Health Department” by A.T. Lin et al. (2016). The study examined disparities in health outcomes due to race/ethnicity or language preference within a large county health department in California. It was found that individuals speaking English as their second language and certain groups of racial/ethnic people had worse health outcomes. This included higher rates for diabetes and other chronic diseases. This study highlights the need to address health disparities, and develop tailored interventions that improve outcomes for those who are most in need.


Lin, A. T., Tsai, J. H., Stalter, A. M., Lee, J. M., Allen, L., & Pourat, N. (2016). Health outcomes in large cities based on race/ethnicity or language preference. American Journal of Public Health, 106(1), 90-96. doi:10.2105/AJPH.2015.302936

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