HLT 362 Topic 1 DQ 1 Discuss the historical application of statistics in the field of health care

Grand Canyon University HLT 362 Topic 1 DQ 1 Discuss the historical application of statistics in the field of health care-Step-By-Step Guide

This guide will demonstrate how to complete the HLT 362 Topic 1 DQ 1 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 Topic 1 DQ 1 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 Topic 1 DQ 1 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 Topic 1 DQ 1 Discuss the historical application of statistics in the field of health care

The introduction for the Grand Canyon University HLT 362 Topic 1 DQ 1 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.

How to Write the Body for HLT 362 Topic 1 DQ 1 Discuss the historical application of statistics in the field of health care

After the introduction, move into the main part of the HLT 362 Topic 1 DQ 1 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 Topic 1 DQ 1 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 Topic 1 DQ 1 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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Topic 1 DQ 1

Discuss the historical application of statistics in the field of health care. Describe an example, other than Florence Nightingale’s contributions, where statistical application has greatly influenced or changed health care operations or practice.

Sample Answer for HLT 362 Topic 1 DQ 1 Discuss the historical application of statistics in the field of health care

Statistics have been in used in the field of healthcare for a very long-time. They have been used in planning and improving healthcare activities as well as allocating resources to be used. Statistics were also used in healthcare to analyze research data, laboratory results, outcomes of treatment and the epidemiology of some condition (Health statistics: Past, present, and future – Toward a health statistics system for the 21st century – NCBI bookshelf, n.d.). With the statistical data, there has been significant improvement in the quality of care delivered and safety of patients since previous data inform the current practice on what to do and what to avoid. Use of statistics has been applied in preventing and managing infections in care facilities. Statistical methods such as rates, ratios and proportions have been used to present data concerning infections in care

facilities hence informing the stakeholders on the appropriate methods of

minimizing the cases (Basic statistics for infection Preventionists, 2019).

References:

Health statistics: Past, present, and future – Toward a health

statistics system for the 21st century – NCBI bookshelf. (n.d.). National

Center for Biotechnology

Information. https://www.ncbi.nlm.nih.gov/books/NBK223602/

Basic statistics for infection Preventionists. (2019, February

15). APIC. https://apic.org/course/basic-statistics-for-infection-preventionists/

Sample Answer 2 for HLT 362 Topic 1 DQ 1 Discuss the historical application of statistics in the field of health care

Thank you for your posts and for highlighting the relationship between statistics and healthcare. The healthcare industry is developing vastly and quickly. Today, it features modern technologies, tools, and equipment to collect as much information about patients as possible, with “big data” appearing as the new trend in the industry. The outcome of the statistical analysis helps healthcare policy makers and providers to improve the quality of care.

Below is a link to a good article summarizing the history of the need for statistics in healthcare.

https://www.ncbi.nlm.nih.gov/books/NBK223602/

An example of the application of statistics in the field of healthcare can be seen in the statistics obtained and studied during the 1918 Influenza Pandemic. This pandemic is known to have killed approximately 50 million worldwide. The virus spread through the U.S. quickly and healthcare statistics were used to determine variations in weekly mortality rates across 438 cities. The statistical data showed that air pollution increased mortality rates during the pandemic. It also showed that cities with coal-fired-generators further increased mortality. (Clay et al., 2019)

In the State of California, the 1918-1920 Influenza Pandemic was studied and showed that the first of four waves of the virus was transmitted by the U.S. Navy and travel by sea. The data collected during this pandemic was used to help combat the Covid-19 pandemic. (North, 2020)

References:

Clay, K., Lewis, J., & Severnini, E. (2019). What explains cross-city variation in mortality during the 1918 influenza pandemic? Evidence from 438 U.S. cities. Economics & Human Biology, 35, 42–50. https://doi.org/10.1016/j.ehb.2019.03.010

North, D. M. T. (2020). California and the 1918–1920 Influenza Pandemic. California History, 97(3), 3–36. https://doi.org/10.1525/ch.2020.97.3.3

Sample Answer 3 for HLT 362 Topic 1 DQ 1 Discuss the historical application of statistics in the field of health care

I agree Kristine, since the 1918 influenza pandemic, advances in statistics are still taking place and practices in the health profession are largely based on scientific data that provides reliable patient care. Nurses, on the other hand, need a basic understanding of statistics to be able to translate, grasp, and interpret applicable literature in the healthcare field. Healthcare leaders must adapt to recent developments, meet nursing challenges, and understand emerging technologies that can enhance patient care. Student nurses must continue to learn well after they begin practicing because new information aimed at improving patient care is constantly being developed.

Reference:

Sheingold, B. H., Hahn, J. A. (2014). The history of healthcare quality: The first 100 years 1860-1960. International Journal of Africa Nursing Sciences. Vol. 1.Pages 18 – 22. : https://doi.org/10.1016/j.ijans.2014.05.002

Sample Answer 4 for HLT 362 Topic 1 DQ 1 Discuss the historical application of statistics in the field of health care

Newly graduated nurses need a basic understanding of statistics to be able to translate, grasp and interpret applicable literature in the healthcare field. Nurses must not only rely on providing patient care based on assessments, labs, and vital signs input into an electronic health record such as Epic to make patient care decisions. The application of basic statistics along with learned experience can improve care and outcomes in the long term.

However, reliance on computer algorithms and statistical knowledge can only go so far. I frequently see new nursing graduates complete nursing tasks instead of being confident in applying nursing knowledge. We must all be careful and continue to learn to broaden our foundations which can be combined with basic statistics to analyze outcomes while seeing trends in healthcare. (Kwon et al., 2019)

Reference:

Kwon, J. Y., Karim, M. E., Topaz, M., & Currie, L. M. (2019). Nurses “Seeing Forest for the Trees” in the Age of Machine Learning. CIN: Computers, Informatics, Nursing, 37(4), 203–212. https://doi.org/10.1097/cin.0000000000000508

Sample Answer 5 for HLT 362 Topic 1 DQ 1 Discuss the historical application of statistics in the field of health care

History of Statistics

Statistics is not a newly developed concept when it comes to looking for answers. In fact, it has been around for hundreds of years. “The roots of nursing practice are based on the use and statistical analysis of patient data” (Ambrose et al., 2022). Health statistics provide data to assist in the allocation of public as well as private funds. Statistics also enable the understanding of population characteristics, for example, disease mortality rates, morbidity or prevalence, and even quantification of health disparities. Previous scholars such as Florence Nightingale have impacted the health industry through the use of statistics to demonstrate needed healthcare initiatives.

Example of Statistical Application in Healthcare

Because of how complex the human body, and mind are, and the ways in which all of these aspects interact with their surroundings, statisticians and nursing researchers need to work together on a continuous basis. Sir Edwin Chadwick (1800-1890) had written a report in 2842 on the sanitary conditions among the laboring population in Great Britain. “Edwin demonstrated the existence of a mass of preventable illnesses and premature death in the community caused, he argued, by unsanitary physical circumstances” (Green et al., 2018). The painstaking documentation of statistical evidence written in his report about the social and spatial inequalities in health and unsanitary conditions is one of the earliest (1824) examples of providing evidence-based health advice to the public. His findings provided the foundation for advances made later on by figures such as William Farr (Green et al., 2018).

References

Ambrose, J., Helbig, J., Ryan, C., & Torres, E. (2022). Applied Statistics for Healthcare (Second Edition ed.). Grand Canyon University. https://bibliu.com/app/#/view/books/1000000000581/epub/Chapter1.html#page_8

Green, M. A., Dorling, D., & Mitchell, R. (2018, January). Updating Edwin Chadwick’s seminal work on geographical inequalities by occupation. National Library of Medicine, 59-62. 10.1016/j.socscimed.2017.11.055

Sample Answer 6 for HLT 362 Topic 1 DQ 1 Discuss the historical application of statistics in the field of health care

diverse businesses, especially healthcare. An extensive amount of data has unfolded new gaps in fitness care. The immense facts in healthcare have the capability to improve healthcare to a higher level. Significant records can correctly lessen healthcare problems such as the selection of the appropriate remedy, and solution for healthcare, and enhancing the healthcare machine. There are six defining attributes in extensive data, namely, extent, range, speed, veracity, variability, complexity, and value. Massive information represents an expansion of possibilities that could enhance the performance of healthcare. The extensive data in healthcare should help in the advanced use of huge data analytics to gain valuable know-how. This powerful information analytics is used to get valuable facts from all types of sources in healthcare that may be used to take advantage of the data in order to make a better choice in healthcare. Massive information analytics can enhance health care by discovering institutions and expertise styles and trends in scientific facts. Cardiovascular disorder datasets are massive data in healthcare, and they are used as part of facilitating the system of documenting scientific facts that must be analyzed to offer powerful answers to troubles in fitness care. This paper provides valuable statistics by using massive information analytics from clinical statistics of cardiovascular disease to provide convincing answers for the troubles in healthcare and also to indicate how huge information is essential for healthcare. with statistics participation, we can manage the healthcare base and balance.

Kurniasari F, Hamid NA, Qinghui C. The effect of perceived usefulness; perceived ease of use, trust, attitude, and, satisfaction into a continuance of intention in using Alipay. Management & Account Review. 2020;19(2):131–150.

http://dx.doi.org/10.24191/mar.v19i2.1190

Zhang Y, Qiu M, Tsai CW, Hassan MM, Alamri A. Health-CPS: Healthcare cyber-physical system assisted by cloud and big data. IEEE Syst J. 2017;11(1):88–95. https://doi.org/10.1109/JSYST.2015.2460747

Sample Answer 7 for HLT 362 Topic 1 DQ 1 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