Population Health Management Dashboard (2 page in power point with visual data charts on the information)

Running head: Assessing Data Sets for Population Health Management 1

Assessing Data Sets for Population Health Management 8

Assessing Data Sets for Population Health Management

Kimberly Huff

Rasmussen College

Author Note

Deliverable 2 Submitted January 19, 2021

Data Sets

Data sets are an important component when conducting many different forms of research. Collecting data allows one to examine the information from different elements. After data is collected it could be manipulated when needed using a computer. In previous times patient information was recorded using the pen and paper method. Using computer methods today allow for ease of access.

Increasing the quality of care is at the forefront of many healthcare organizations. With that said, medical data serves as an essential component where the quality of care is concerned. The majority of data comes from the patient. Patients can supply data that lead healthcare workers to develop patient-specific ways to prevent diseases, personalize treatments, and enhance overall health outcomes. Healthcare data is also essential in the management and administration of the hospital or facility and makes it easier to track a patient’s medical trek. Data is also crucial in reducing or eliminating medical errors.

Population health management focuses on the improvement of the healthcare delivery system within a specified area. To determine appropriate measures to take the data must be current and accurate. Different information to include in the data sets that can be utilized are socioeconomic determinants and electronic health records.

Socioeconomic determinants will provide valuable information such as the level of education, occupation, and income of the people residing in a selected area. Once evaluated this type of information can aid in tracking prominent illness within the area. Using electronic medical records will aid in logging different illnesses/diseases and their outcomes. These data sets will be critical in allowing the health system PHM program in the selected area. The data sets will provide relevant information which will in turn be beneficial when organizing the PHM program.

Gathering personal information such as age, sex, and ethnicity, occupation, and income will be important as once analyzed it will allow one to determine if those factors influence disease and illness. Using the HER system will allow all participants to view the information as needed and offer the chance to gather additional information when needed. The data gathered should be checked for accuracy. Having accurate data will ensure the success of the program.

Gathering data from different sources will provide a broad range overview. Many areas are large such as Marion County so accurate data would be essential when determining ways to decrease illness and disease. Data within a PHM program is typically informed data so all data must be true and accurate in its entirety to be analyzed correctly.

Diabetes

Diabetes has become an issue for many people around the world. Diabetes is a condition that develops when blood sugar in the body rises above average, and this occurs when the pancreas fails to work as required. Many times diabetes can be controlled by diet and exercise. In some cases medication management would need to be utilized if diet and exercise fail. Promoting education is key to any health improvement plan. Relevant and adequate data is a requirement when researching disease and illness.

Data can be gathered within the community which include, number of individuals diagnosed with diabetes, age, race, ethnicity, comorbidities, socioeconomic status, and location of residence. Air pollution is the primary environmental factor contributing to diabetes, as it results in increased insulin resistance. Once this information is obtained, further analysis of the information can be completed to determine if there is a pattern of the disease.

Despite diabetes being a lifestyle condition, the disease develops because of various social factors, including poverty. Disadvantaged people may not be able to afford healthy foods, have inadequate access to prevention resources and healthcare management, increasing their susceptibility to diabetes. Also, low education. People with low education achievement have insufficient knowledge about the development and prevention of diabetes.

References

Dahl, S., & Brennhofer, S. (2018). PHM-Focused Healthcare Delivery. In S. Dahl, & S. Brennhofer, Training to Deliver Integrated Care (pp. 65-78). Cham: Springer.

Institute of Medicine (U.S.). (2012). Primary Care and Public Health : Exploring Integration to Improve Population Health. National Academies Press.

Marioncountyhealth.gov (2020). COMMUNITY HEALTH IMPROVEMENT PLAN. 2020_2024_community_health_improvement_plan_chip.pdf (floridahealth.gov)\

Mennis, J., & Stahler, G. (2016). Racial and ethnic disparities in outpatient substance use disorder treatment episode completion for different substances. Journal of substance abuse treatment, 63, 25-33.

Powell, P., D Corathers, S., Raymond, J., & Streisand, R. (2015). New approaches to providing individualized diabetes care in the 21st century. Current diabetes reviews, 11(4), 222-230. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4864491/

Rollins, L., Gordon, T. K., Proeller, A., Ross, T., Phillips, A., Ward, C., Hopkins, M., Burney, R., Bojonowski, W., Hoffman, L., Daniels, Y., Mobley, M., Mubasher, M., & Akintobi, T. H. (2020). Community-Based Strategies for Health Priority Setting and Action Planning. American Journal of Health Studies, 35(2), 102–114.