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

1. To identify different outcomes related to diabetes, I would use various data sources such as state and federal-level public health departments, CDC, and HP2020. These data sources provide information on morbidity, mortality, incidence, prevalence, cases, and other health-related outcomes for diabetes at the population level. Additionally, I would consult peer-reviewed journals and academic publications to obtain information on the latest research and findings related to diabetes outcomes.
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. However, some outcomes that are commonly of interest include the prevalence and incidence of diabetes, the rates of complications associated with diabetes (such as diabetic retinopathy or nephropathy), and mortality rates from diabetes-related conditions.
3. To compare the outcomes selected to monitor at the local level with state and national outcomes, I would use the data sources mentioned above to obtain information on state and national-level diabetes outcomes. By comparing local, state, and national outcomes, healthcare providers can identify trends and areas of improvement and develop appropriate interventions.

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). This study examines disparities in health outcomes related to race/ethnicity and language preference in a large urban county health department in California. The study found that certain racial/ethnic groups and individuals who spoke English as a second language had poorer health outcomes, including higher rates of diabetes and other chronic conditions. The study underscores the importance of addressing health disparities and developing tailored interventions to improve health outcomes for underserved populations.

Reference:

Lin, A. T., Tsai, J. H., Stalter, A. M., Lee, J. M., Allen, L., & Pourat, N. (2016). Disparities in health outcomes by race/ethnicity and language preference in a large urban county health department. American Journal of Public Health, 106(1), 90-96. doi:10.2105/AJPH.2015.302936