Utilization of Public Data Sets

Utilization of Public Data SetsRunning head: UTILIZATION OF PUBLIC DATA SETS1Utilization of Public Data Sets6IntroductionThe purpose of this research paper is to inform the audience of the severe incline of diabetic mortality rate in the United States. This paper will discuss where the data originates from, what makes the information gathered valuable and important, and what changes can or should be made to help improve overall health care efficiency and quality. Included in this paper will be a data chart which will provide a visual representation of the collected data.Data SourceA series of data that is gathered for analyzation or reference towards something to represent or justify a course of action or to persuade an audience is what data is. It is important to understand what data is before understanding the importance of it. Not all data is relevant, which means it can be acted upon. Sorting through the vast amount of data to find relevant data can be time consuming and tiresome. Relevant data is used by businesses to make informed and justified decisions.Why Is Data ImportantData is viewed as something that cannot be fought against due to it being fact and not based on opinion. Gathering data allows for issues to be avoided and certain things to be changed or altered to avoid problems from worsening. This allows the company to assume a proactive method of thinking. The consumer of the service provided will establish a relationship with the company due to the provided data. Feedback will provide an opportunity for the company to facilitate any necessary needs. The data that is collected will establish new customers, produce possible solutions to issues, retain current customer base, and more.TrendsAmericans are dying at an alarming rate from diabetes (Diabetes, 2018). There are preventive measures that can help prevent or lessen that chances of becoming diabetic, such as being proactive in work, school, and social life. Being knowledge about nutrition and conscious about the types of food a person takes in can also help decrease the chances of becoming diabetic. Data gathered and categorized is important to the stakeholders because it can provide valuable information and help prioritize the areas of focus. Data collection and analyzation is what can help make a business fail or succeed.Policies to Improve Care and Change in OperationThere are a couple of things that individuals can do to prevent diabetes. A few of these things is exercising on a regular basis, maintaining a health nutritional diet, and a normal body weight are just a few things that can be done. Simply being aware of diabetes and what can be done to prevent it is a great help by just informing individuals of the possibility and what lead to it. Learning the information at an early age or early in life is very important (Paddock, 2014). Teaching this information to children while in school is a great idea to help promote a healthy lifestyle and decrease the chances of becoming diabetic when they grow up. Teaching the children about healthy eating early on will help them be aware how process food and foods high in fat, sodium, sugar, and cholesterol can possibly have a lasting affect on their body and their life. One issue that surrounds everyone is the easily accessible fast food that is readily available almost instantly and very convenient for those on-the-go families constantly rushing around or short on time (Diabetes, 2018). By promoting healthy exercise on a regular basis in the classroom and adding additional physically active classes or extending the current physically active classes it will show the children how important physical fitness is and why it is important. Changing how nutritional and physical education is taught is a crucial aspect to lowering the diabetic statistical rise.In terms of a workplace environment, policies should be implemented to encourage an active workstyle and life style. This can mean something as simple as warm up stretches and exercises prior to the start of the shift and after lunch-prior to returning to work. Different workplaces will allow for more flexibility in terms such as group exercises. Everyone should take it upon themselves to conduct some exercises each day while at work. Adults should also be making sure they are maintaining a healthy diet and avoiding fast food as much as possible. The following chart displays the Percentile of individuals within certain race/ethnic groups that are reported to have diabetes (ADA, 2018).ConclusionIt is estimated that 9.4% of the Unites State’s population has diabetes (Centers for Disease Control and Prevention , 2014). It I anticipated that if these numbers continue to rise as the years go on, everyone in three individuals will have diabetes. 87.5% of Americans were obese or overweight. Obesity can be found to have a higher chance of association with individuals who suffer from chronic diseases. These diseases, such as certain cancers, disease of the heart, mental health issues, and arthritis are a few of the key factors that play a vital role the mortality rate in Americans when it comes to weight related sickness and obesity. Tobacco is the number one preventable American killer and diabetes is the second. Diabetes is continuing to increase over the years and takes more lives is what the data currently anticipates.References ADA. (2018, March 22). Statistics About Diabetes. Retrieved from American Diabetes Association: http://www.diabetes.org/diabetes-basics/statistics/ Centers for Disease Control and Prevention . (2014, 10 June). More than 29 million Americans have diabetes; 1 in 4 doesn’t know. Retrieved from CDC: https://www.cdc.gov/media/releases/2014/p0610-diabetes-report.html Diabetes. (2018). National Diabetes Statistics Report, 2017 . Retrieved from Diabetes: http://www.diabetes.org/assets/pdfs/basics/cdc-statistics-report-2017.pdf Paddock, C. (2014, June 12). Diabetes rise in the US is ‘alarming,’ say CDC. Retrieved from Medical News Today: https://www.medicalnewstoday.com/articles/278140.phpDiabetes by Race/EthnictySeries 1 non-Hispanic whites Asian Americans Hispanics non-Hispanic blacks American Indian/Alaskan Natives 7.4 8 12.1 12.7 15.1 Column2 non-Hispanic whites Asian Americans Hispanics non-Hispanic blacks American Indian/Alaskan Natives Column1 non-Hispanic whites Asian Americans Hispanics non-Hispanic blacks American Indian/Alaskan Natives

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