HLT 362 Topic 1 DQ 2 Discuss why it is important for a person working in health care to understand statistical concepts
Grand Canyon University HLT 362 Topic 1 DQ 2 Discuss why it is important for a person working in health care to understand statistical concepts-Step-By-Step Guide
This guide will demonstrate how to complete the HLT 362 Topic 1 DQ 2 Discuss why it is important for a person working in health care to understand statistical concepts 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 2 Discuss why it is important for a person working in health care to understand statistical concepts
Whether one passes or fails an academic assignment such as the Grand Canyon University HLT 362 Topic 1 DQ 2 Discuss why it is important for a person working in health care to understand statistical concepts 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 2 Discuss why it is important for a person working in health care to understand statistical concepts
The introduction for the Grand Canyon University HLT 362 Topic 1 DQ 2 Discuss why it is important for a person working in health care to understand statistical concepts 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 2 Discuss why it is important for a person working in health care to understand statistical concepts
After the introduction, move into the main part of the HLT 362 Topic 1 DQ 2 Discuss why it is important for a person working in health care to understand statistical concepts 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 2 Discuss why it is important for a person working in health care to understand statistical concepts
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 2 Discuss why it is important for a person working in health care to understand statistical concepts
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 2
Discuss why it is important for a person working in health care to understand statistical concepts. Provide an example of how statistical data is used in your organization or specialty area today and what you are expected to do with this information as a practitioner.
Sample Answer for HLT 362 Topic 1 DQ 2 Discuss why it is important for a person working in health care to understand statistical concepts
Health statistics comprises of data that give an information of a descriptive summary about health. This statistical data together with statistical concepts are important in the following ways elaborated below to person working in healthcare.
Health care providers use statistical data to monitor trends as well as the conditions in a local area and make a comparison with other geographical area as well as nationwide or globally; this helps to easily monitor the possible risks causing a certain condition or affecting people of a certain age using the data collected.
Statistical data analyzed in the healthcare facility enable in fair public and private fund allocation together with determining how and where research efforts should be centralized at most at an individual level or across.
Statistical questionnaire by a person in a healthcare setting help patients be satisfied with their care and this trigger them having the urge of follow-up as well supervision and this as well help practitioners or caregivers to have a better understanding of the patient information therefore effective treatment.
Statistics is important at an individual level in healthcare for it aids in making important critical decisions and opinions basing data as the determinant and this can be of help when critically assessing the quality of analyses presented by others. Statistics enable one to analyze and figure out claims basing them on quantitative evidence, and this enable one to find a difference between dubious and reasonable facts which is an important aspect in data interpretation that is presented by people from motived which are unknown.
Statistical help is required for individual decision making for we live in a world of information and for one to be well informed, accurate and correct statistical concepts are required at an individual level.
Some Examples in real life are:
Practitioners predict diseases basing results on statistical concepts. Where one example is a survey showing approximately 80% of patients have cancer from a local geographical area, statistical skills and data analysis when involved may determine the effects of cancer in the body and a conclusion may be drawn that smoking is the major reason as to why cancer cases are popular in a certain region.
Practitioners also use statistics such as in the current pandemic of COVID-19 disease and have been giving a conclusion after analyzing statistical data that the most affected persons to a point of death are individuals having chronic diseases and the aged peoples. This has enabled in creating awareness and informing of the precautionary measures to be taken thoroughly most by the ones having chronic diseases.
References:
Barbara A. Bartkowiak, George E. Magnin Medical Library, Marshfield Clinic, Marshfield, Wisconsin.
Marsh, J. (2020, April 4). 10 awesome reasons why statistics are important. Medium. https://medium.com/@john_marsh7/10-awesome-reasons-why-statistics-are-important-96b87e283640
STATISTICS IMPROVES HEALTH CARE. (n.d.). American Statistical Association (ASA). https://www.amstat.org/asa/files/pdfs/StatSig/StatSigHealthCare.pdf
Sample Answer 2 for HLT 362 Topic 1 DQ 2 Discuss why it is important for a person working in health care to understand statistical concepts
Thank you all for your active participation in the week (1) discussions, it was a great opportunity to exchange a few examples of how statistics is important in health sciences.
This week you were able to:
- Understand the different types of measurement: nominal, ordinal, interval, ratio.
- Define basic statistical terms.
- Explain the historical application of statistics.
- Describe the application of statistics in health care quality, safety, health promotion, and leadership.
You may like to watch “Ex Drug Rep — Manipulating Doctors” on YouTube located at www.youtube.com/watch?v=kOW8LNU2hFE&feature=youtube to understand why are statistics important in drug research, for example, and what are the problems associated with changing the statistics in drug research.
Sample Answer 3 for HLT 362 Topic 1 DQ 2 Discuss why it is important for a person working in health care to understand statistical concepts
This is really sad, with lots of unanswered questions. Nurses are also being manipulated, as we are the ones who end up administering these drugs to our patients. I have seen cases where patients come in for admission, are tagged violent and pumped with medication (anti psychotic) to calm them down, but instead they deteriorate slowly and die. Many facilities are making money from these problems, so they would rather pretend not know than forfeit the money.
It is essential for a person working in healthcare to understand statistical concepts. Statistical analysis helps healthcare providers find correlations between entities. Statistical data helps providers, such as nurses, understand trends in patient care, improve outcomes and develop evidence-based practice (EBP). (Helbig & Ambrose, 2018) EBP is important to nurses all over the world to create guidelines and implementation to improve their skills and knowledge using research-based strategies. Alqahtani et al., 2019)
I work in an adult Acute Rehabilitation unit. We frequently have patients with severe Traumatic Brain Injuries (TBI) who have extended hospital stays. Some of our TBI patients stay on our unit for 5-6 weeks so their hospital stays from admission into the ER to discharge can be over two months. These patients have a higher risk of acquiring venous thromboembolisms (VNEs). Statical data can be used in the unit to track and monitor occurrences of TBI patients who acquire VNE or PEs related to immobilization, length of stay, and types of anticoagulants used. (Zhang et al., 2020)
For some reason, my department does not utilize this type of data on a staff nurse level which is unfortunate but I do plan on being able to create a study on the unit I work at after I take this class and learn more about EBP development. I would assume that I need permission to access files or work with the manager to determine how to obtain and analyze data from our patients. I would be able to use this type of information to determine correlations which can then be used to decrease the occurrence of VNEs/PEs with TBI patients.
Refeences:
Alqahtani, N., Oh, K. M., Kitsantas, P., & Rodan, M. (2019). Nurses’ evidence‐based practice knowledge, attitudes and implementation: A cross‐sectional study. Journal of Clinical Nursing, 29(1-2), 274–283. https://doi.org/10.1111/jocn.15097
Helbig, J., & Ambrose, J. (2018). Applied Statistics for Health Care. Gcumedia.com. https://lc.gcumedia.com/hlt362v/applied-statistics-for-health-care/v1.1/#/chapter/1
Zhang, M., Parikh, B., Dirlikov, B., Cage, T., Lee, M., & Singh, H. (2020). Elevated risk of venous thromboembolism among post-traumatic brain injury patients requiring pharmaceutical immobilization. Journal of Clinical Neuroscience, 75, 66–70. https://doi.org/10.1016/j.jocn.2020.03.028
Sample Answer 4 for HLT 362 Topic 1 DQ 2 Discuss why it is important for a person working in health care to understand statistical concepts
Quantitative research guides healthcare decision-makers with statistics–numerical data collected from measurements or observations that describe the characteristics of specific population samples. Descriptive statistics summarize the utility, efficacy, and costs of medical goods and services. Increasingly, healthcare organizations employ statistical analysis to measure their performance outcomes. Hospitals and other large provider service organizations implement data-driven, continuous quality improvement programs to maximize efficiency. Government health and human service agencies gauge the overall health and well-being of populations with statistical information.
The need for statistics in medicine extends beyond research – into daily clinical practice. Every patient-physician encounter is imbued with statistics – although we usually fail to recognize this. For a man presenting to an emergency room with chest pain, several diagnoses are possible. The brain of a trained physician combines several elements of history and clinical findings to arrive at one or a few diseases that are highly likely in him, a few that are possible but less likely, and several that are highly unlikely. His brain then matches this list of diagnoses with performance characteristics – such as sensitivity, specificity, and predictive values – of various diagnostic tests, to select a few tests that are most likely to be helpful. And then follows the choice of treatment that is most likely to succeed. Each of these steps involves the use of statistical principles – such as the probability theory; and Bayes’ theorem. All this happens imperceptibly. However, a physician who understands the principles underlying this process can be expected to do better – just like an engineer who does not merely use a machine but also understands how it works.
Healthcare providers strive to produce valuable goods and services efficiently. Statistics are essential to healthcare companies in measuring performance success or failure. Nurses, on the other hand, require a basic knowledge of statistics to be able to translate, grasp; and interpret application literature in order for proof treatment to become well in the healthcare field. Furthermore, new information aimed at improving patient care is constantly being developed, which ensures that student nurses must continue to learn well after they begin practicing.
References
Araki L, R., Schultz K, S. Students’ attitudes toward statistics and their retention of statistical concepts. Paper presented at the annual meeting of the Western Psychological Association; Los Angeles, CA. 1995.
Scott, I., & Mazhindu, D. (2014). Statistics for healthcare professionals: An introduction. Sage.
Ranganathan P, Aggarwal R. Common pitfalls in statistical analysis: Understanding the properties of diagnostic tests-part 1. Perspect Clin Res. 2018;9:40–3.
Sample Answer 5 for HLT 362 Topic 1 DQ 2 Discuss why it is important for a person working in health care to understand statistical concepts
Statistics is the science of collecting, analyzing, interpreting and presenting data for an easier application in improving specific phenomena. Healthcare professionals must comprehend various statistical concepts to integrate them into healthcare delivery. The statistical concepts help the nurses Interpret and use statistical data to make informed decisions about patient care (Crawford et al., 2022). It also guides in comparison of the effectiveness of various interventions. It also helps streamline communication and collaboration on statistical data to enhance the quality of healthcare delivery. Statistical concepts guide nurses to stay up-to-date on the latest research findings, facilitating the effective application of evidence-based practice (Crawford et al., 2022). Therefore, applying statistical concepts guides the evaluation and interpretation of research findings, clinical outcomes, and population data, enabling evidence-based decision-making (Crawford et al., 2022). It also guides quality improvement and patient safety by evaluating the effectiveness of interventions and patient outcomes. In a nutshell, it is essential to encourage statistical concept competency among nurses for effective healthcare improvement initiatives.
Our organization utilizes statistical data to track various metrics, including patient satisfaction, readmission, and infection rates. It guides in identifying specific areas for improvement, leading to the provision of quality healthcare services (Uzay & Ahmet, 2023). For instance, in cardiology, statistical concepts and data are utilized to analyze clinical trials, providing crucial information on the effectiveness and safety of different treatment strategies. Statistical analysis appraises the clinical trial results to make a comprehensive, evidence-based decision to improve patient outcomes. Additionally, the application of statistical modeling is employed for risk assessment among patients to enhance understanding of the risk factors (Javaid et al., 2022). Integration of statistical tools such as Framingham Risk Score and the ACC/AHA Pooled Cohort Equations helps estimate a patient’s future risk of cardiovascular issues, enabling tailored treatment plans and preventive interventions (Javaid et al., 2022). Overall, applying statistical concepts is critical in improving the quality of healthcare outcomes through identifying areas of improvement and analyses of clinical issues to make informed decisions.
References
Crawford, C. L., Rondinelli, J., Zuniga, S., Valdez, R. M., Tze‐Polo, L., & Titler, M. G. (2022). Barriers and facilitators influencing EBP readiness: Building organizational and nurse capacity. Worldviews on Evidence-Based Nursing, 20(1). https://doi.org/10.1111/wvn.12618
Javaid, A., Zghyer, F., Kim, C., Spaulding, E. M., Isakadze, N., Ding, J., Kargillis, D., Gao, Y., Rahman, F., Brown, D. E., Saria, S., Martin, S. S., Kramer, C. M., Blumenthal, R. S., & Marvel, F. A. (2022). Medicine 2032: The future of cardiovascular disease prevention with machine learning and digital health technology. American Journal of Preventive Cardiology, 12, 100379. https://doi.org/10.1016/j.ajpc.2022.100379
Uzay D., & Ahmet S O., (2023). Quality Improvement of Healthcare Services Through Data Analytics Processes. Advances in Business Information Systems and Analytics Book Series, 76–93. https://doi.org/10.4018/978-1-6684-8386-2.ch004