DQ Discuss the historical application of statistics in the field of health care
Grand Canyon University DQ 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 DQ 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 DQ 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 DQ 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 DQ Discuss the historical application of statistics in the field of health care
The introduction for the Grand Canyon University DQ 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 DQ Discuss the historical application of statistics in the field of health care
After the introduction, move into the main part of the DQ 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 DQ 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 DQ 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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DQ Discuss the historical application of statistics in the field of health care
HLT 362V Topic 1 Discussion 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.
A Sample Answer For the Assignment: DQ Discuss the historical application of statistics in the field of health care
Title: DQ Discuss the historical application of statistics in the field of health care
There is nothing novel or cutting edge about statistics, the field dates back hundreds of years. The first known evidence of the notion of social statistics dates back to the 1600s and was comprised of documented conversations about probability and formulae for normal curves (Fienberg, 1992). The collection, organization, and statistical examination of patient information are the cornerstones of nursing practice. Florence Nightingale was a statistician who gathered data on injured troops. This data included information on injuries, illnesses, and deaths. Her understanding contributed to a significant improvement in the quality of nursing treatment.
Statistics play a crucial role in all aspects of health care, from the formulation of individualized treatment plans to the implementation of protocols for the detection and prevention of illness at a population level. Because of the complexity of the human body and mind, as well as the ways in which these aspects interact with their surroundings, statisticians and nursing researchers need to work together on a continuous basis. In the same vein as Florence Nightingale, Sir Edwin Chadwick was a social reformer in England. He is most known for his efforts to promote public health and sanitation, as well as alter the Poor Laws. It is well known that Chadwick was the one who conceived up the laws that finally brought British sanitary science into the light of contemporary times, bringing it out of the dark ages. He had a strong passion for enhancing people’s so-called “quality of life.” He was a pioneer in the use of systematic long-term inspection programs, which were used to ensure that the changes were carried out as intended.
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Reference:
Applied Statistics for Health Care. (n.d.). Applied Statistics for Health Care; lc.gcumedia.com. Retrieved July 28, 2022, from https://lc.gcumedia.com/hlt362v/applied-statistics-for-health-care/v1.1/#/chapter/1
Sir Edwin Chadwick (1800-1890) | LSHTM. (n.d.). LSHTM; www.lshtm.ac.uk. Retrieved July 28, 2022, from https://www.lshtm.ac.uk/aboutus/introducing/history/frieze/sir-edwin-chadwick
A Sample Answer 2 For the Assignment: DQ Discuss the historical application of statistics in the field of health care
Title: DQ Discuss the historical application of statistics in the field of health care
Today, statistics is applied in all sectors to show trends in the markets and to enhance the planning processes for the success of an organization. Statistics involves the analysis of collected data to inform the decision-making processes. Healthcare organizations mostly use statistics to show the trends in the emergence and spread of diseases, plan for the medical operation processes, and control the treatment processes, among other activities meant to increase efficiency in the healthcare system. There is always the need for healthcare systems to enhance care delivery and ensure effective patient outcomes. As a result, healthcare institutions often engage in numerous research processes. Besides, in the modern clinical setups, there is the application of evidence-based practices to enhance, diagnosis, treatments, and overall patient care.
Importance of Statistical Knowledge in Healthcare
The knowledge of statistics is used in the modeling processes to formulate the best treatment approaches that are essential for specific types of patients. Statisticians often rely on clinical data to predict and inform any possible variation in the treatment and patient management (Jahan et al., 2016). For instance, whenever there is a disease outbreak, as in the coronavirus case, clinical data collected can be used to determine the possible future trends and the number of resources that may be required to manage the situation. Statisticians may also model a system or program that may show the best precautions to take to reduce the spread of the diseases through the application of data collected. Different processes in the health care system rely on statistical data. For example, when writing a treatment or medication report, healthcare professionals often use the data that have been collected over a given period (Milic et al., 2016). As a result, healthcare professionals need to have basic or advanced knowledge in statistics to create meaningful reports and make statistically significant conclusions. The modern treatment models rely on statistical data. For instance, the development of artificial intelligence that can facilitate the medication process depends on the data and statistical trends in the healthcare system.
Before a research process is considered medically significant, it must always pass through the statistical tests to ensure that it is statistically significant. All the above processes require significant statistical knowledge to help in the accurate analysis of every scenario from study design, data collection, data analysis, interpretation, and writing of a comprehensive medical report. Most of the medical research companies such as Center for Disease Control (CDC) and World Health Organization (WHO) depend on the statistical knowledge when it comes to drug trials, research on various diseases and study of the best medical interventions mechanisms that can lead to effective patient outcomes (Milic et al., 2016). As a result, there are always teams of epidemiologists and biostatisticians who have advanced knowledge in statistics, nature of diseases, and other healthcare activities. With the use of data in the treatment process, there is always the need for healthcare workers to show competency in healthcare informatics.
The application of statistics in the healthcare system is significant to quality improvement. To ensure efficiency in the healthcare system, there is always the need for healthcare professionals in collaboration with the researcher to carry out research to determine areas that require improvements. The use of data can, therefore, informs the ideal solution to the problems facing healthcare institutions. Therefore, the result of the clinical analysis can be used to improve the quality of care and the general treatment processes. Research processes may inform the safety measures, health promotion, and best leadership approaches that can best improve general care.
With the emergence of diseases and different complications in the healthcare settings, the provision of healthcare services often turn to be a challenge; as a result, there is always the need for healthcare professionals to identify the right strategies that can be used to improve the treatment outcome and the general safety. Therefore, statistical knowledge is required to undertake research using the clinical data available to determine the best strategies that can be used to deal with the increasing problems.
In my organization, given the introduction of technology and numerous research processes, I will mostly utilize statistics in almost all the activities, from data collection, clinical analysis, medical research, clinical reporting. The statistical knowledge will also be critical in the development of treatment and care models in line with the needs of the patients. In healthcare settings, the clinical data can be obtained from the databases. Also, in cases where there is the need to study health determinants within the communities, research models can be designed whereby data may be collected from the community members through surveys. Data analysis results are often used in the decision-making processes; they may be applied to inform quality improvement, tend in the operational processes, and the best treatment and care processes to be adopted.
Conclusion
All these medical approaches rely on the application of data. With the development of modern technologies in the healthcare system, data collection is usually done to ensure that patient’s records are well updated for further treatment processes. Patient’s data are usually collected from the point of admission to the time of discharge. All the above activities are statistical approaches that are meant to collect data to inform decision-making processes.
References
Jahan, S., Al-Saigul, A. M., & Suliman, A. A. (2016). Attitudes to statistics in primary health care physicians, Qassim province. Primary health care research & development, 17(4), 405-414.
Milic, N. M., Masic, S., Milin-Lazovic, J., Trajkovic, G., Bukumiric, Z., Savic, M., … & Ilic, A. (2016). The importance of medical students’ attitudes regarding cognitive competence for teaching applied statistics: multi-site study and meta-analysis. PLoS One, 11(10), e0164439.
A Sample Answer 3 For the Assignment: DQ Discuss the historical application of statistics in the field of health care
Title: DQ Discuss the historical application of statistics in the field of health care
Since the 19th century, statistics have been used in healthcare and are crucial. They served to enlighten medical professionals and aid in their understanding, supervision, and improvement of resource use with the purpose of restoring patients’ health and preventing sickness. Worldwide disease epidemics of the 20th century included cases of polio, smallpox, and measles. The work of creating these illnesses’ vaccines fell within the purview of the healthcare industry. Clinical studies with a statistical design were used to evaluate the vaccinations statistically (Bohr & Memarzadeh, 2020). Additionally, statistical control was used while making the vaccinations. For instance, statistics were used to divide participants into the vaccination group and the control group during the polio vaccine study before drawing a good conclusion about the vaccine’s safety.
Dr. Blue’s statistically sound techniques were invaluable during the influenza epidemic. The outbreak, which claimed thousands of deaths, was the deadliest in American history. To verify that all immigrants entering the US passed a required medical check, Mr. Blue employed statistical analytics (Kelly et al., 2020). Additionally, he promoted efficient communication by organizing weekly newsletters to notify medical professionals of infection cases and findings from the Hygienic Laboratory’s influenza study.

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