HLT 362 Topic 1 Discussion Question one Discuss the historical application of statistics in the field of health care
Sample Answer for HLT 362 Topic 1 Discussion Question one Discuss the historical application of statistics in the field of health care Included After Question
HLT 362 Topic 1 Discussion Question one Discuss the historical application of statistics in the field of health care
Topic 1 DQ 1
Description:
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: HLT 362 Topic 1 Discussion Question one Discuss the historical application of statistics in the field of health care
Title: HLT 362 Topic 1 Discussion Question one 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
A Sample Answer 2 For the Assignment: HLT 362 Topic 1 Discussion Question one Discuss the historical application of statistics in the field of health care
Title: HLT 362 Topic 1 Discussion Question one Discuss the historical application of statistics in the field of health care
In the era of technological trends, extensive statistics have been broadly carried out in 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
Description
Objectives:
1. Describe an example of each type of measurement: nominal, ordinal, interval, ratio.
2. Define basic statistical terms.
3. Explain the historical application of statistics.
4. Describe the application of statistics in health care quality, safety, health promotion, and leadership.
Applied Statistics for Health Care
Description:
Read Chapter 1 in Applied Statistics for Health Care.
Introduction
Description:
Read “Introduction,” and watch the associated videos by Lane, Hebl, Osherson, and Zeimer, from Online Statistics Education: An Interactive Multimedia Course of Study.
The Visual Learner: Statistics
Description:
Refer to the “Visual Learner: Statistics” to learn more about the statistical calculations presented in this topic.
Nominal, Ordinal, Interval Ratio: Examples
Description:
Read “Nominal, Ordinal, Interval Ratio: Examples,” by Stephanie (2014), located on the Statistics How To website.
Fundamentals of Statistics 1: Basic Concepts :: Nominal, Ordinal, Interval and Ratio
Description:
Fundamentals of Statistics 1: Basic Concepts :: Nominal, Ordinal, Interval and Ratio,” located on the Usable Stats website.
Health Statistics
Description:
Explore the Health Statistics page of the MedlinePlus website.
Evidence-Based Practice for Nursing: Levels of Evidence
Description:
Read “Evidence-Based Practice for Nursing: Levels of Evidence,” located on the Northern Virginia Community College website.
Measuring the Quality of Healthcare in the U.S.
Description:
Read “Measuring the Quality of Healthcare in the U.S.,” by Claxton, Cox, Gonzales, Kamal, and Levitt (2015), located on the Peterson-Kaiser Health System Tracker website.
Quality Data Critical to Healthcare Decision-Making
Description:
Read “Quality Data Critical to Healthcare Decision-Making,” by Nicholson and Penney (2004), located on the American Health Information Management Association (AHIMA) website.
Data and Statistics
Description:
Explore the Data and Statistics page of the Centers for Disease Control and Prevention (CDC) website.
Health
Description:
Explore Health page of the United States Census Bureau website.
Health Topics: Health Statistics
Description:
Explore the Health Statistics page of the MedlinePluse website.
As we begin this session, I would like to take this opportunity to clarify my expectations for this course:
Please note that GCU Online weeks run from Thursday (Day 1) through Wednesday (Day 7).
Course Room Etiquette:
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Late Policy and Grading Policy
Discussion questions:
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- Paraphrasing or condensing ideas from another person’s work without proper citation and referencing.
- Failing to document direct quotations without proper citation and referencing.
- Depending upon the amount, severity, and frequency of the plagiarism that is committed, students may receive in-class penalties that range from coaching (for a minor omission), -20% grade penalties for resubmission, or zero credit for a specific assignment. University-level penalties may also occur, including suspension or even expulsion from the University.
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HLT 362 Topic 1 Discussion Question one Discuss the historical application of statistics in the field of health care Grading Rubric Guidelines
| Performance Category | 10 | 9 | 8 | 4 | 0 |
| Scholarliness
Demonstrates achievement of scholarly inquiry for professional and academic decisions. |
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| Performance Category | 10 | 9 | 8 | 4 | 0 |
| Application of Course Knowledge –
Demonstrate the ability to analyze, synthesize, and/or apply principles and concepts learned in the course lesson and outside readings and relate them to real-life professional situations |
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| Performance Category | 5 | 4 | 3 | 2 | 0 |
| Interactive Dialogue
Replies to each graded thread topic posted by the course instructor, by Wednesday, 11:59 p.m. MT, of each week, and posts a minimum of two times in each graded thread, on separate days. (5 points possible per graded thread) |
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Summarizes what was learned from the lesson, readings, and other student posts for the week. |
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| Minus 1 Point | Minus 2 Point | Minus 3 Point | Minus 4 Point | Minus 5 Point | |
| Grammar, Syntax, APA
Note: if there are only a few errors in these criteria, please note this for the student in as an area for improvement. If the student does not make the needed corrections in upcoming weeks, then points should be deducted. Points deducted for improper grammar, syntax and APA style of writing. The source of information is the APA Manual 6th Edition |
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| 0 points lost | -5 points lost | ||||
| Total Participation Requirements
per discussion thread |
The student answers the threaded discussion question or topic on one day and posts a second response on another day. | The student does not meet the minimum requirement of two postings on two different days | |||
| Early Participation Requirement
per discussion thread |
The student must provide a substantive answer to the graded discussion question(s) or topic(s), posted by the course instructor (not a response to a peer), by Wednesday, 11:59 p.m. MT of each week. | The student does not meet the requirement of a substantive response to the stated question or topic by Wednesday at 11:59 pm MT. |
A Sample Answer 3 For the Assignment: HLT 362 Topic 1 Discussion Question one Discuss the historical application of statistics in the field of health care
Title: HLT 362 Topic 1 Discussion Question one 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/