HLT 362 Discuss the historical application of statistics in the field of health care
Grand Canyon University HLT 362 Discuss the historical application of statistics in the field of health care-Step-By-Step Guide
This guide will demonstrate how to complete the Grand Canyon University HLT 362 Discuss the historical application of statistics in the field of health care assignment based on general principles of academic writing. Here, we will show you the A, B, Cs of completing an academic paper, irrespective of the instructions. After guiding you through what to do, the guide will leave one or two sample essays at the end to highlight the various sections discussed below.
How to Research and Prepare for HLT 362 Discuss the historical application of statistics in the field of health care
Whether one passes or fails an academic assignment such as the Grand Canyon University HLT 362 Discuss the historical application of statistics in the field of health care depends on the preparation done beforehand. The first thing to do once you receive an assignment is to quickly skim through the requirements. Once that is done, start going through the instructions one by one to clearly understand what the instructor wants. The most important thing here is to understand the required format—whether it is APA, MLA, Chicago, etc.
After understanding the requirements of the paper, the next phase is to gather relevant materials. The first place to start the research process is the weekly resources. Go through the resources provided in the instructions to determine which ones fit the assignment. After reviewing the provided resources, use the university library to search for additional resources. After gathering sufficient and necessary resources, you are now ready to start drafting your paper.
How to Write the Introduction for HLT 362 Discuss the historical application of statistics in the field of health care
The introduction for the Grand Canyon University HLT 362 Discuss the historical application of statistics in the field of health care is where you tell the instructor what your paper will encompass. In three to four statements, highlight the important points that will form the basis of your paper. Here, you can include statistics to show the importance of the topic you will be discussing. At the end of the introduction, write a clear purpose statement outlining what exactly will be contained in the paper. This statement will start with “The purpose of this paper…” and then proceed to outline the various sections of the instructions.
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How to Write the Body for HLT 362 Discuss the historical application of statistics in the field of health care
After the introduction, move into the main part of the HLT 362 Discuss the historical application of statistics in the field of health care assignment, which is the body. Given that the paper you will be writing is not experimental, the way you organize the headings and subheadings of your paper is critically important. In some cases, you might have to use more subheadings to properly organize the assignment. The organization will depend on the rubric provided. Carefully examine the rubric, as it will contain all the detailed requirements of the assignment. Sometimes, the rubric will have information that the normal instructions lack.
Another important factor to consider at this point is how to do citations. In-text citations are fundamental as they support the arguments and points you make in the paper. At this point, the resources gathered at the beginning will come in handy. Integrating the ideas of the authors with your own will ensure that you produce a comprehensive paper. Also, follow the given citation format. In most cases, APA 7 is the preferred format for nursing assignments.
How to Write the Conclusion for HLT 362 Discuss the historical application of statistics in the field of health care
After completing the main sections, write the conclusion of your paper. The conclusion is a summary of the main points you made in your paper. However, you need to rewrite the points and not simply copy and paste them. By restating the points from each subheading, you will provide a nuanced overview of the assignment to the reader.
How to Format the References List for HLT 362 Discuss the historical application of statistics in the field of health care
The very last part of your paper involves listing the sources used in your paper. These sources should be listed in alphabetical order and double-spaced. Additionally, use a hanging indent for each source that appears in this list. Lastly, only the sources cited within the body of the paper should appear here.
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Sample Answer for HLT 362 Discuss the historical application of statistics in the field of health care
Re: Topic 1 DQ 1
“The first documentation of social statistical concepts originated in the 1600s as published discussions on probability and normal curve equations” (Fienberg, 1992).An important case in point is the Framingham Heart Study, which was launched in 1948. This study aimed to identify the common factors that contribute to cardiovascular disease. Over 5,000 participants were recruited and their health patterns, behaviors, and medical histories were closely monitored for several decades (Mahmood et al., 2014). Through rigorous statistical analysis, the study identified several key risk factors for cardiovascular diseases, such as high blood pressure, high blood cholesterol, smoking, obesity, diabetes, and physical inactivity (Mahmood et al., 2014). The findings led to a shift in how heart disease is prevented and treated. The incorporation of statistics into health care has historically acted as a bedrock for some of the most significant advancements in the field. The Framingham Heart Study stands as a testament to the power of statistics in shaping our understanding of diseases and informing best practices in health care.
References:
June Helbig & Jayme Ambrose. (2022). Applied Statistics for Health Care. Grand Canyon University (Ed.). (2022). Applied statistics for health care (2nd ed.).
Fienberg, S. E. (1992). A brief history of statistics in three and one half chapters: A review essay. Statistical Science, 7(2), 208-22
Mahmood, S. S., Levy, D., Vasan, R. S., & Wang, T. J. (2014). The Framingham Heart Study and the epidemiology of cardiovascular disease: a historical perspective. Lancet (London, England), 383(9921), 999–1008. https://doi.org/10.1016/S0140-6736(13)61752-3
Sample Answer 2 for HLT 362 Discuss the historical application of statistics in the field of health care
The historical application of statistics in health care has played a critical role in comprehending various health-related issues, making informed decisions, and enhancing all-around health outcomes. The historical application of statistics in healthcare can be traced to the 17th century when John Graunt used mortality data to study the causes of death in London. The data would identify the rise and spread of certain diseases in the community (Charters & Heitman, 2021). Additionally, in the 18th century, Daniel Bernoulli utilized statistics to study the effectiveness of smallpox vaccination in his community, concluding that immunization is critical in controlling smallpox spread (Costantino et al., 2020). The utilization of statistics in health care has significantly influenced how to prevent, diagnose, and treat diseases (Lv & Qiao, 2020). By using statistical methods to analyze data, we can better understand the causes of disease, identify effective treatments, and improve the quality of care for patients. Therefore, applying statistics can guide the development of assessment tools, measure the effectiveness of public health interventions, allocate resources more efficiently, reduce medical errors, and improve the quality of care.
The development of the Framingham Heart Study is a prominent example of the application of statistics in improving healthcare operations. It was initiated in 1948 as a longitudinal study conducted in Framingham, Massachusetts, to identify risk factors for cardiovascular diseases (Pathiravasan et al., 2022). It made a significant contribution to the understanding of heart diseases, including how to prevent the condition. Statistical techniques were utilized to collect and analyze data from a representative sample of the population, which included approximately 5,200 men and women (Andersson et al., 2019). The study identified significant risk factors for heart disease, such as obesity, diabetes, smoking, high blood pressure, high cholesterol levels, and physical inactivity. The study highlighted the significance of preventative measures and the impact of the effectiveness of population-based interventions (Andersson et al., 2019). Overall, the statistical findings influenced the development of policies to advance healthcare and the development of target interventions to advance healthy behaviors, such as smoking cessation campaigns, initiatives to increase physical activity, and population-wide blood pressure and cholesterol screenings.
References
Andersson, C., Johnson, A. D., Benjamin, E. J., Levy, D., & Vasan, R. S. (2019). 70-year legacy of the Framingham Heart Study. Nature Reviews Cardiology, 16(11), 687–698. https://doi.org/10.1038/s41569-019-0202-5
Charters, E., & Heitman, K. (2021). How epidemics end. Centaurus, 63(1), 210–224. https://doi.org/10.1111/1600-0498.12370
Costantino, V., Kunasekaran, M., & MacIntyre, C. R. (2020). Modelling of optimal vaccination strategies in response to a bioterrorism-associated smallpox outbreak. Human Vaccines & Immunotherapeutics, 17(3), 738–746. https://doi.org/10.1080/21645515.2020.1800324
Lv, Z., & Qiao, L. (2020). Analysis of healthcare big data. Future Generation Computer Systems, 109, 103–110. https://doi.org/10.1016/j.future.2020.03.039
Pathiravasan, C. H., Zhang, Y., Wang, X., Trinquart, L., Benjamin, E. J., Borrelli, B., McManus, D. D., Kheterpal, V., Lin, H., Spartano, N. L., Schramm, E., Liu, C., & Murabito, J. M. (2022). Factors associated with long-term use of digital devices in the electronic Framingham Heart Study. Npj Digital Medicine, 5(1), 1–11. https://doi.org/10.1038/s41746-022-00735-1
HLT 362 Topic 1 DQ 2 Sample Answer
Application of Statistics in Healthcare
In the Healthcare system, there is always a lot of studies that are used to formulate the best treatment practices. Also, in the modern clinical setup, there is usually the application of evidence-based practices to enhance efficient patient outcomes. All these processes rely on data. Besides, data is critical in every stage of the treatment process from the point of admission to the time of discharge. Therefore, in the process of caring for patients, medical practitioners are always collecting data that can be analyzed to inform improvement in treatment processes (Ben-Zvi, Makar, & Garfield, 2017). Historically, statistical data has been used to improve medical processes. Consequently, it is critical for every healthcare worker to understand statistical concepts.
Moreover, different processes rely on statistical data in healthcare. For instance, when writing a medication or treatment report, there is always the integration of data that has been collected over time; this makes it critical for healthcare professionals to have knowledge in statistics so that they can understand how to express basic concepts as far as the management of patients is concerned. Also, most of the treatment models in the modern healthcare system are based on statistical data; the interpretation of these models requires statistical knowledge. Understanding statistics is, therefore, a necessity for every medical worker; in other words, they need to show competency in nursing informatics (Ross, 2019).
In my organization, statistical data is applied in the development of disease models that may inform the treatment mechanism to be explicitly adopted in the times of disease outbreaks. Also, in my healthcare organization, statistical data are always analyzed to show the number of patients visiting the hospital at specific times of the day. This information is essential in establishing correct nurse to patient ration to curb overcrowding in the facility.
References
Ben-Zvi, D., Makar, K., & Garfield, J. (Eds.). (2017). International handbook of research in statistics education. Springer.
Ross, T. K. (2019). Applying lean six sigma in health care. Burlington, MA: Jones & Bartlett Learning.