Community Health Problem and Improvement Plan
Community Health Problem and Improvement Plan
In the United States, cardiovascular disease is the leading cause of death. There are numerous risk factors for heart disease, as data from the community’s health improvement plan indicates. In the United States, heart disease is the top cause of mortality for men, women, and people of most racial and ethnic groups. In the United States, one person dies from cardiovascular disease every 36 seconds. Every year, around 659,000 people in the United States die from heart disease, accounting for one out of every four deaths (Ruan, 2018).
Solutions
Regular screening is required as a major and important way to prevent the disorder from happening. Interventions, are also necessary to prevent such disease as it improves that medical disorder, thus retarding the progress of such a disorder. Community health workers work out to reduce the heart disease burden. The public is taught preventive measures, that they can take to prevent the risks of having cardiovascular disease. Creating awareness in society is very important. This will equip the public with education, which in return, the public will increase knowledge and makes life-related changes to the public.
Structure, process, and outcome standards
The preventive and implementation program used in the program includes stakeholders from developing countries. The proponents who are necessary to make the project meet its goal, is only through the inclusion of different personnel from different developing countries, as stakeholders. These are very important as they are the persons who will look forward to implementing the set goals into their respective countries. When included in the list of stakeholders, people of the developing countries are the only ones who can share out the challenges that they may be facing in their countries. These are the people who can give their different prospects about their own countries. Through the use of a data report, the data that is collected is useful in data compilation. Reporting in the program provides a basis, for performance measurement. This in turn provides strategic planning which will be used to improve hospital management. This data provides a path that measures progress in accomplishing the goal of the program. This is a result of using evidence-based data, that will be used at even national and international levels (Shokr, 2020).
Technology is another tool that is used in data analysis. Systematic reviews of clinical trials as well as assessing the implications of healthcare are various ways technology has been applied. Technology will be used to store information about people who are suffering from cardiovascular diseases. Increasing access to medical information is another applicable use of technology. This way, the information about the disorder has been shared worldwide (Morilla, 2017).
Policymakers informed policy help for the intervention approach. Population statics and systematic surveillance about the disease and its sites and location using electronic health records avoid the risk factors. World Health Organization (WHO) step was a useful approach to implement this program. National and subnational government health surveillance system monitors cardiovascular diseases (CVD). Program evaluation improvement in low and middle-income countries and accurate data collection increase the number of risk reductions for CVD. This goal will implement evidence-based policies and programs. Ongoing evaluation and implementation process determine the action (Ruan, 2018).
Reference
Morilla, M. D., Sans, M., Casasa, A., Gimenez, N. (2017). Implementing technology in healthcare: Insights from physicians. BMC Medical Informatics and Decision Making, 17(92), 1-9. https://doi.org/10.1186/s12911-017-0489-
Ruan, Y., Guo, Y., Zheng, Y., Huang, Z., Sun, S., Kowal, P., Shi, Y., & Wu, F. (2018). Cardiovascular disease (CVD) and associated risk factors among older adults in six low-and middle-income countries: Results from SAGE wave 1. BMC Public Health, 18(778), 1-13. https://doi.org/10.1186/s12889-018-5653-9
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