HLT 362 Assignment Application of Statistics in Health Care
Sample Answer for HLT 362 Assignment: Application of Statistics in Health Care Included After Question
Description
Statistical application and the interpretation of data are important in health care. Review the statistical concepts covered in this topic. In a 750-1,000 word paper, discuss the significance of statistical application in health care. Include the following:
1. Describe the application of statistics in health care. Specifically discuss its significance to quality, safety, health promotion, and leadership.
2. Consider your organization or specialty area and how you utilize statistical knowledge. Discuss how you obtain statistical data, how statistical knowledge is used in day-to-day operations and how you apply it or use it in decision making.
Three peer-reviewed, scholarly or professional references are required.
Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.
This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance.
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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Participation
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- Please use peer-related journals found through the GCU library and/or class materials to formulate your answers. Do not try to “Google” DQ’s as I am looking for class materials and examples from the weekly materials.
- I will not accept responses that are from Wikipedia, Business dictionary.com, or other popular business websites. You will not receive credit for generic web searches – this does not demonstrate graduate-level research.
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Plagiarism
- Plagiarism is the act of claiming credit for another’s work, accomplishments, or ideas without appropriate acknowledgment of the source of the information by including in-text citations and references.
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Plagiarism includes:
- Representing the ideas, expressions, or materials of another without due credit.
- 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.
- If you are at all uncertain about what constitutes plagiarism, you should review the resources available in the Student Success Center. Also, please review the University’s policies about plagiarism which are covered in more detail in the GCU Catalog and the Student Handbook.
- We will be utilizing the GCU APA Style Guide 7th edition located in the Student Success Center > The Writing Center for all course deliverables.
LopesWrite
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Assignment Submissions
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Grade of Incomplete
- The final grade of Incomplete is granted at the discretion of the instructor; however, students must meet certain specific criteria before this grade accommodation is even possible to consider.
- The grade of Incomplete is reserved for times when students experience a serious extenuating circumstance or a crisis during the last week of class which prevents the completion of course requirements before the close of the grading period. Students also must pass the course at the time the request is made.
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Grade Disputes
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- However, after we have discussed individual assignments’ point scores, if you still believe that the final grade you have earned at the end of the course is not commensurate with the quality of work you produced for this class, there is a formal Grade Grievance procedure which is outlined in the GCU Catalog and Student Handbook.
A Sample Answer For the Assignment: HLT 362 Assignment: Application of Statistics in Health Care
Title: HLT 362 Assignment: Application of Statistics in Health Care
Application of statistics in the healthcare system is essential; statistical concepts and outcomes are used to guide decision-making processes. Today, statistics is applied not only in the healthcare system but also many organizations rely on data that need to be analyzed to identify the market trends. Statistical concepts are widely used by different healthcare systems to gauge the level of performance and to determine the next course of action. In modern computerized healthcare systems, data can be easily gathered and analyzed to identify trends in the entire healthcare industry. Generally, government and human service agencies often use statistical information to understand the overall health and well-being of different populations. In most cases, pharmaceutical companies and hospitals need to carefully understand patients to assess the risks that may be experienced by different communities. Also, they need to establish the effectiveness of different treatments and the assessment of the symptoms (Harris et al., 2017). All the above activities require research that needs to incorporate statistical approaches. In other words, the research needs to be quantitative. The purpose of this paper is to analyze the importance of statistics in the healthcare system.
Healthcare institutions struggle every day to deliver quality services to patients. Also, pharmaceutical companies often strive to deliver quality medicine and medical equipment to hospitals and other healthcare facilities. The application of statistics enables companies to gauge success and failures in their performances. Managers for quality improvements often apply and create standards for effective service delivery and determine effective future outcomes. Reliable statistical information can be applied by the policy-makers to plan for the viability and overall growth of the healthcare institutions and also determine the diminished risks of trade-offs (Campbell, 2018). Also, healthcare data gathered can be applied in clinical trials for the new technologies and treatments to determine the benefits and risks of a given medicinal product. Most healthcare research agencies, such as the Center for Disease Control (CDC), apply statistics to determine the best medication that can be used in the treatment of different diseases. In most cases, search for better medicines requires elaborate research that usually takes different periods. Quantitative research approaches are always used to enhance attainment statistically significant outcomes.
Application of Statistics in Healthcare Quality Improvement
Statistical knowledge is often applied in modeling various treatment models. These models are meant to enhance the quality of service delivery and enhance effective patient outcomes. Statistical models are often used to determine the trends in the number of patients visiting the hospitals in a given duration. Once the information is obtained, it is used to initiate effective processes that can lead to operational processes’ efficiency. In healthcare, a statistical model refers to the mathematical model that involves a set of statistical assumptions about the generation of a sample data as well as other similar forms of data from a larger population. Statistical models often represent idealized forms from the data generation processes. In most cases, statistical models are recognized as a mathematical relationship between a single or more random variables as well as other non-random variables. In general, statistical models are considered to be a random representation of the theories. In modern healthcare systems, some computerized statistical models are designed using healthcare data. These models inform the types of treatments and the approaches they need to be undertaken to enhance quality outcomes (Jahan et al., 2016). Through statistical research, healthcare institutions can determine the best form of leadership that can enhance quality delivery at all levels of operations.
The Utilization of Statistical Knowledge
In my organization, statistical knowledge is used to determine the trends in hospital attendance, outbreak and spread of disease, and improved treatment strategies. When patients are admitted to the hospital, their data are captured and stored within our databases. Further, whenever there is a need to determine trends and other activities in healthcare management, these data are analyzed to enhance decision-making processes. For instance, in the healthcare organization where I operate, the data is always used to determine an increase in the number of patients and determine the nurse-to-patient ratio. As a result, the management can plan for the increased number of patients through increasing medication and the number of healthcare workers. Also, when the data stored in the databases are analyzed, it is easier to determine the trends in the disease outbreak and to plan adequately in terms of medication and the treatment processes.
Data Collection
The process of data collection often involved capturing the patient’s data at the time of admission. These data are then automatically transferred to the databases. The organization has an integrated computer system that is able to collect and store data. Healthcare professionals usually do the data entry process with advanced knowledge in informatics. Some of the data that is usually collected include medical conditions, types of diseases, age, gender, place of birth, past health conditions, and medication. Given that statistical knowledge is applied in day to day activities, healthcare professionals are always required to have advanced knowledge in statistics; this is always possible through training and workshops that are organized by the healthcare institution. Statistical knowledge is used to determine the trends in the disease infections, levels of operational processes, and the possible changes required within a healthcare facility.
Conclusion
The application of statistics in healthcare is the rise given the need to predict the trends in the levels of infections and improve quality outcomes. Also, with the evidenced-based practices in different healthcare settings, the knowledge of statistics is required in decision-making and to establish statistically significant outcomes. Medical research companies mostly apply inferential statistics to test hypotheses on various research processes. The above scenario has led to the creation of new courses that integrate both statistical and medical knowledge. Such courses include biostatistics and epidemiology.
Reference
Campbell, M. (2018). The importance of statistics. African Journal of Midwifery and Women’s Health, 8(3), 113-114.
Harris, J. D., Brand, J. C., Cote, M. P., & Dhawan, A. (2017). Research pearls: The significance of statistics and perils of pooling. Part 3: Pearls and pitfalls of meta-analyses and systematic reviews. Arthroscopy: The Journal of Arthroscopic & Related Surgery, 33(8), 1594-1602.
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.
HLT 362 Assignment: Application of Statistics in Health Care Grading Rubric
| Performance Category | 100% or highest level of performance
100% 16 points |
Very good or high level of performance
88% 14 points |
Acceptable level of performance
81% 13 points |
Inadequate demonstration of expectations
68% 11 points |
Deficient level of performance
56% 9 points
|
Failing level
of performance 55% or less 0 points |
| Total Points Possible= 50 | 16 Points | 14 Points | 13 Points | 11 Points | 9 Points | 0 Points |
| Scholarliness
Demonstrates achievement of scholarly inquiry for professional and academic topics. |
Presentation of information was exceptional and included all of the following elements:
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Presentation of information was good, but was superficial in places and included all of the following elements:
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Presentation of information was minimally demonstrated in all of the following elements:
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Presentation of information is unsatisfactory in one of the following elements:
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Presentation of information is unsatisfactory in two of the following elements:
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Presentation of information is unsatisfactory in three or more of the following elements
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| 16 Points | 14 Points | 13 Points | 11 Points | 9 Points | 0 Points | |
| Application of Course Knowledge
Demonstrate the ability to analyze and apply principles, knowledge and information learned in the outside readings and relate them to real-life professional situations |
Presentation of information was exceptional and included all of the following elements:
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Presentation of information was good, but was superficial in places and included all of the following elements:
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Presentation of information was minimally demonstrated in the all of the following elements:
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Presentation of information is unsatisfactory in one of the following elements:
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Presentation of information is unsatisfactory in two of the following elements:
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Presentation of information is unsatisfactory in three of the following elements
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| 10 Points | 9 Points | 6 Points | 0 Points | |||
| Interactive Dialogue
Initial post should be a minimum of 300 words (references do not count toward word count) The peer and instructor responses must be a minimum of 150 words each (references do not count toward word count) Responses are substantive and relate to the topic. |
Demonstrated all of the following:
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Demonstrated 3 of the following:
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Demonstrated 2 of the following:
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Demonstrated 1 or less of the following:
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| 8 Points | 7 Points | 6 Points | 5 Points | 4 Points | 0 Points | |
| Grammar, Syntax, APA
Points deducted for improper grammar, syntax and APA style of writing. The source of information is the APA Manual 6th Edition Error is defined to be a unique APA error. Same type of error is only counted as one error. |
The following was present:
AND
AND
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The following was present:
AND/OR
AND/OR
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The following was present:
AND/OR
AND/OR
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The following was present:
AND/OR
AND/OR
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The following was present:
AND/OR
AND/OR
AND/OR
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The following was present:
AND/OR
AND/OR
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| 0 Points Deducted | 5 Points Lost | |||||
| Participation
Requirements |
Demonstrated the following:
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Failed to demonstrate the following:
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| 0 Points Lost | 5 Points Lost | |||||
| Due Date Requirements | Demonstrated all of the following:
A minimum of one peer and one instructor responses are to be posted within the course no later than Sunday, 11:59 pm MT. |
Demonstrates one or less of the following.
A minimum of one peer and one instructor responses are to be posted within the course no later than Sunday, 11:59 pm MT. |