HLT 362 Discuss why it is important for a person working in health care to understand statistical concepts

Grand Canyon University HLT 362 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 Grand Canyon University HLT 362 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 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 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 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 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 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 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 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 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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Sample Answer for HLT 362 Discuss why it is important for a person working in health care to understand statistical concepts

Re: Topic 1 DQ 2

As leaders in healthcare, the ability to understand data and apply it is an essential skill because predictability assumptions create a stronger model of care, which increases quality outcomes and patient safety. Statistical tools and concepts are often used in healthcare to measure quality improvement initiatives and to track patient safety events. For instance, control charts and process capability analyses help determine if a change made in a healthcare process is resulting in improvement (Benneyan, Lloyd, & Plsek, 2003). “Analyzing health care data could help to identify quality outcomes related to infection rates and fall risks, changes to procedures based on data findings, and changes in patient interactions based on satisfaction survey results” (June Helbig & Jayme Ambrose, 2022). At my healthcare facility, we use statistical data to keep track of the rate of infections that patients get while in the hospital. We do this every month and compare the numbers to standards set by the state and country. We use charts to monitor changes over time and see if any efforts we make to lower infection rates are working. If there’s a sudden rise in HAI rates, it’s crucial to identify potential causes and implement interventions. Understanding the data helps me to identify patterns, determine the efficacy of interventions, and ensure the best outcomes for my patients.

References:

Benneyan, J. C., Lloyd, R. C., & Plsek, P. E. (2003). Statistical process control as a tool for research and healthcare improvement. Quality & safety in health care, 12(6), 458–464. https://doi.org/10.1136/qhc.12.6.458

June Helbig & Jayme Ambrose. (2022). Applied Statistics for Health Care. Grand Canyon University (Ed.). (2022). Applied statistics for health care (2nd ed.).

Sample Answer 2 for HLT 362 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

Sample Answer 3 for HLT 362 Discuss why it is important for a person working in health care to understand statistical concepts

Health statistics measure four types of information which are referred to as the four Cs which are correlates, conditions, care, and costs (Medline Plus, 2020). Statistical concepts are important for health care workers in many ways because they allow them to collect, monitor, analyze, interpret data, and contribute to evidence-based practice. Statistics is a vital aspect in the health care sector and applicable for many reasons and specializations. The healthcare system uses statistical knowledge to enhance its quality, safety practices, health promotion, and leadership. In addition to this, statistical data has a great influence on patient outcomes (Hagan, 2018). It can be used to assess or monitor patient progress, plan healthcare services, predict disease outbreaks, allocate adequate resources, manage health risks, monitor trends, evaluate treatment effectiveness and decision making. For example, a nurse may observe that a patient requires attention from the collection of statistical data. Nurses can use statistics to identify patterns in vital signs and symptoms so they can make informed decisions and apply critical thinking to better respond to a patient ‘s changing medical status. This allows care to be delivered efficiently (Hagan, 2018).

In addition, statistical data is also used by health care organizations to assess the quality of care, measure performance, and contribute to research and improvement programs. Data measuring performance and quality indicators are collected and analyzed for specific trends or responses to interventions (Anaesth, 2018). This statistical data may be regarding patients (mortality, diagnoses), hospitals (length of stay, readmission rates), the process of care (use of beta-blockers, the rate of check-ups with patients), and adverse events (Anaesth, 2018).

References

Anaesth. (2018). Statistical Literacy for Healthcare Professionals. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles

Hagan. (2018). The Use of Statistics in Healthcare Quality Improvement. Retrieved from https://juniperpublishers.com/jojnhc/pdf/JOJNHC.MS.ID.555746.

Medline Plus. (2020). Health Statistics. Retrieved from https://medlineplus.gov/healthstatistics

HLT 362 TOPIC 2 DQ 1 Sample Answer

Article overview 

The article I selected is called “Selective immunoglobulin A deficiency in children with diabetes mellitus: Data from a medical center in Ukraine.” This article reports a study done in western Ukraine. The goal of the study was to estimate the prevalence of selective immunoglobulin A  deficiency (SIgAD) among children with type 1 diabetes mellitus (DM). (Selective IgA deficiency is an immune system condition in which you lack or don’t have enough immunoglobulin A (IgA), a protein that fights infection) (MayoClinic.org). According to this article, SIgAD is one of the most common primary immunodeficiencies, and its prevalence ranges from 1:300 to 1:3000 depending o the population.  SIgAD is diagnosed in children older than four years with serum IgA below 7mg/dL, with normal immunoglobulins G (IgG) and M(IgM) and other causes of hypogammaglobulinemia and T cells defects ruled out.  In addition, the article also reports that this deficiency is a heterogeneous condition with a multifactorial mechanism and its pathogenesis is not completely understood and typically is associated with defects in B cells failing to produce IgA and T cell abnormalities and cytokine abnormalities also may play a role on this deficiency.  

Strategy used 

In this cross-sectional study, 240 children aged 4 to 17 years old with diabetes mellitus (DM) were picked in a time frame, from March 2019 to November 2021. All the children participating in this study were referred to the Endocrinology Unit of Ternopil Regional Children’s Hospital. The control group included 324 children from the outpatient department of Ternopil Regional Children’s Hospital that were admitted during the same period (from March 2019 to November 2021).  

The exclusion criteria for the control group included PID, acute period of respiratory disease and gastroenteritis, autoimmune and allergic disease and none of the patients with DM and of the control group received immunoglobulin replacement therapy or immunosuppressive therapy (Boyarchuk, 2022).  

This study used convenience sampling (a Non-probability sampling method). In this method, the investigators enroll subjects according to their availability and accessibility (Elfil, 2017). It is convenient sampling because the researcher selects the sample elements, in this case, the 240 children with DM and 324 children as the control group with the aim of estimating the prevalence of SIgAD among children with type 1 diabetes mellitus in Ternopil region (western Ukraine) (Boyarchuk, 2022).  

Effectiveness of the sampling method selected 

The sampling method in this study was effective. In this method, the investigators enrolled subjects in a control group and a convenient group. The study allowed the population of interest to have an equal chance of being included and there was no sampling bias. The study revealed realistic results. The results showed that patients with low IgA levels need further re-testing of IgA levels to exclude SIgAD. Children with SIgAD and DM should be monitored for autoimmune manifestations that may affect the course and consequences of the disease (Elfil, 2017).  

References  

Boyarchuk, O., Dobrovolska, L., & Svystunovych, H. (2022). Selective immunoglobulin A deficiency in children with diabetes mellitus: Data from a medical center in Ukraine. PLoS ONE, 17(11), 1–9. https://doi-org.lopes.idm.oclc.org/10.1371/journal.pone.0277273 

Mayo Clinic (2022).  Selective IgA Deficiency. Retrieved February 8, 2023 from https://www.mayoclinic.org/diseases-conditions/selective-iga-deficiency/symptoms-causes/syc-20362236#:~:text=Selective%20IgA%20deficiency%20is%20an,don’t%20have%20recurrent%20infections. 

Elfil, M., & Negida, A. (2017). Sampling methods in Clinical Research; an Educational Review. Emergency (Tehran, Iran), 5(1), e52.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5325924/