Create a PowerPoint presentation with detailed speaker notes in each content discussion slide. Explain the relationship between disease management and population health needed.

Brandy Felicita

Rasmussen University

Population Health

Dr. Merle Point-Johnson

Deliverable 3 Submitted August 1, 2021

Cardiovascular diseases remain one of the leading causes of death in Florida state and the whole of the United States. Big data present a broader basis within which it is possible to build change while maintaining a unique basis for change and improved change. Cardiovascular diseases (CVDs) have a detrimental impact on the functionality of the heart. The common types include arrhythmias, Marfan syndrome, congenital disease, coronary heart disease, which involve shrinking of the arterial walls, deep vein thrombosis (DVT), heart attack, and heart failure (Adhikari et al., 2018). According to World Health Organization, cardiovascular diseases are a leading cause of death globally, with more people dying annually from CVDs than from any other cause. In 2016, it was estimated that 17.9 million people died from CVDs, equivalent to 31% of all global deaths (WHO, 2017). Big data sources are crucial in shaping the level of care within a given setting. The major sources of big data include hospital records, medical records, disease registries, and vital records. Each of these data sources helps identify a specific factor that can improve the quality of care based on the underlying health concern.

Medical records are essential in help track events as well as transactions between patients and healthcare providers. This information is crucial in understanding the disease history, underlying trends in healthcare use, and specific patient characteristics. Health statistics are crucial and aid in emphasizing change and focusing on the underlying level of healthcare development.

Data elements in care delivery present a broader basis for change where it is possible to build change and diversify healthcare quality. Therefore, there are specific elements that need to be assessed effectively within each of the underlying problems. Therefore, the specific data elements essential in this case include new diagnosis, mortality, recoveries, and management approaches. These data elements are crucial in helping build a strong change platform that will improve efficiency and level of change.

Mortality data source present an understanding of all deaths while also identifying the proportion of patients who died because of cardiovascular diseases. This is imperative in helping shape individual understanding and key processes that influence change and promote improved commitment to reduce the number of deaths associated with cardiovascular diseases.

Recoveries is also a key source of data since it highlights the proportion of patients who have recovered from cardiovascular diseases. This presents a broader emphasis on important processes that define change and promote improved level of management.

Critical understanding of these elements will inform the different approaches that shape future initiatives. Most cardiovascular diseases may be prevented by avoiding risk factors such as tobacco use, unhealthy diet, obesity, lack of physical activity, and harmful alcohol use and other substances. Persons with cardiovascular disease or at high risk need early detection and management using counseling and medicines, as appropriate (WHO, 2015).

The essential factors that must be effectively controlled due to their role in developing CVD include a family history of CVD, older age, being male gender, smoking, high cholesterol level, alcohol use, and low intake of fruits and vegetables. In addition, the wellbeing of a CVD patient is regulated in vast guidelines that define diet, exercise, and mental wellbeing. Higher adherence to these guidelines improves the health and wellbeing of patients. However, this knowledge on these lifestyle modifications is lacking (Ishihara, 2017).

Data forms an integral aspect in the current decision-making and the ability to build change and transform change. Data allows clear decision-making and the ability to improve the level of care. However, it is essential to ensure that accurate data sources are identified to improve the quality of healthcare delivered. Interpreting data is a fundamental element that helps in making accurate decisions. Inability to use data collected means that there is a major deficiency in care delivery. Each data element is defined and interpreted differently based on how it is being understood. This means that learning how to interpret the available data help understand the complex structures and specific characteristics that define a given population.

Thus, in effectively understanding the context within which it is vital to improving the healthcare needs of individuals within the local community, it is essential to investigate hospitalization data and determine the number of patients admitted due to cardiovascular diseases (Svačina, 2020). The local statistics collected can also help in making accurate decisions based on the underlying issues. It is imperative to focus on defining a more effective system that defines the improved level of outcome. Monitoring the quality of care and the wellbeing of patients offers a clearer and favourable approach which can be undertaken to improve the health outcomes of the local population.

Wellness programs are also a crucial component in improving individual lifestyles. Lifestyle adjustment is crucial for CVD patients considering that they live a highly restricted life concerning what they can accomplish independently. There are major limitations that must be effectively evaluated to attain the needed level of care (Knowles et al., 2019). Dietary intake limits, exercising, and stress reduction form a strong basis within which it is easier to build an improved quality of life among patients. Cardiovascular disease patients are restricted from a high salt diet, processed foods which can have negative implications such as obesity leading to constricted veins stenosis, stroke, and heart attack (Schweda & Krauss, 2020). Exercising is essential, considering that it strengthens the heart muscles and improves health outcomes.

References

Adhikari, KP, S., & S, A. (2018). Cardiovascular Diseases (CVDs) Risk Attitude and Knowledge Level of Major Risk Factors for Cardiovascular Diseases among 15-19 Years Eleventh and Twelfth-Grade Students of Lekhnath Municipality. Journal of Community Medicine & Health Education. https://doi.org/10.4172/2161-0711.1000584

Ishihara, S. (2017). Stress of patients with cardiovascular disease and their families/caregivers. Stress Science Research. https://doi.org/10.5058/stresskagakukenkyu.2017008

Knowles, K. A., Xun, H., Jang, S. Y., Singh, R., Pang, S., Shan, R., Marvel, F. A., & Martin, S. S. (2019). Clinicians for care: How a systematic literature review informs clinicians on engaging caregivers as part of the cardiovascular care team. Circulation.

Schweda, S., & Krauss, I. (2020). Physical activity promotion for multimorbid patients in primary care settings: A protocol for a systematic review evaluating health benefits and harms. Systematic Reviews. https://doi.org/10.1186/s13643-020-01379-6

Svačina, Š. (2020). Obesity and cardiovascular disease. Vnitrni Lekarstvi. https://doi.org/10.4070/kcj.1997.27.1.130

WHO. (2015). Media centre - Cardiovascular Diseases (CVDs). Fact Sheet N. 317.

WHO. (2017). Fact Sheet: cardiovascular disease. Cardiovascular Diseases.