HLT 362 Application of Statistics in Health Care

Grand Canyon University HLT 362 Application of Statistics in Health Care – Step-By-Step Guide

This guide will demonstrate how to complete the Grand Canyon University  HLT 362 Application of Statistics in 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 HLT 362 Application of Statistics in Health Care                              

Whether one passes or fails an academic assignment such as the Grand Canyon University  HLT 362 Application of Statistics in 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 HLT 362 Application of Statistics in Health Care                              

The introduction for the Grand Canyon University  HLT 362 Application of Statistics in 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.

How to Write the Body for HLT 362 Application of Statistics in Health Care                              

After the introduction, move into the main part of the HLT 362 Application of Statistics in 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 HLT 362 Application of Statistics in 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 HLT 362 Application of Statistics in 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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Sample Answer for HLT 362 Application of Statistics in Health Care

Statistics entails the collection, analysis, interpretation, and presentation of data. Healthcare providers, from nurses to physicians and other professionals leverage statistics to improve the quality of care through monitoring individual health using descriptive statistics, quantifying the association between variables using regression models, and comparing the effectiveness of various medical procedures by deploying hypothesis tests. According to Harvey (2022) and Guetterman (2019), healthcare providers should possess statistical competence to improve their capacity to use research findings and translate them into practice and more studies. The purpose of this paper is to discuss the application of statistics in healthcare and its significance to quality, safety, health promotion, and leadership. The paper also explores the use of statistics in healthcare organizations based on daily operations and decision-making.

Application of Statistics in Health Care

i). Improving Quality

Providers and organizations use statistics in health environments to improve quality, and safety, and promote health and leadership. Healthcare providers use statistics to enhance quality based on the effectiveness of different interventions in populations. Healthcare services are sensitive and specific to patients’ unique needs. Therefore, the use of statistics is essential in determining health outcomes. Healthcare providers leverage statistics in evaluating and establishing the significance of care delivered to meet patient needs and standard models like value-based care (Alqahtani et al., 2019). Accurate diagnoses, and treatment interventions for certain diseases need statistics to determine if disease markers are dependable and can be used to make better decisions. The recent COVID-19 pandemic demonstrates the role of statistics in the development of vaccines and in determining their quality for different health populations.

ii). Patient Safety

Patient safety is a core aspect of quality care to reduce medication errors and other adverse events like falls hospital-acquired infections (HAIs)and hospital-acquired pressure injuries (HAPIs). Making the correct diagnosis means that patients get safe treatment and are not harmed by unnecessary medication. As such, statistics ensure that providers have sufficient information on therapeutic indices and safety margins when developing medications while physicians understand effective dosage to ensure patient safety (Grove et al., 2019). Again, statistical analysis ensures that providers make quantitative interpretation of data to make effective decisions through better interpretation of research information.

iii). Health Promotion

Promoting health is a core aspect of improving primary health and prevention of diseases, especially lifestyle conditions and their associated risk factors. Healthcare organizations and providers like nurses require statistics to promote health through research surveys aimed at identifying unique population needs. Conducting a needs assessment requires statistics in designing a questionnaire, sampling affected persons or individuals, and gathering information as well as analysis of data and interpretation. Data on aspects like prevalence, distribution, and risks allows health experts like epidemiologists to formulate effective and evidence-based interventions to promote health (Vandever, 2020). For instance, disease surveillance like during the COVID-19 pandemic, required statistics to determine the level of spread and effects like mortality, comorbidities as well as additional risk factors.

iv). Leadership

The use of statistics in healthcare, especially in hospital settings and among staff is critical for their performance and long-term planning. Leaders need statistics to understand aspects like nurse-to-patient ratio, readmission rates, and prevalence of falls (Grove et al., 2019). An effective analysis of such data enables healthcare leaders to evaluate present gaps and needs based on treatment and efficiency while developing a roadmap of actions to enhance the quality of care and welfare of healthcare providers by tackling issues like nursing shortage and high turnover rates.

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Using Statistics in Organization and Specialty Area

Nurses in different specialty areas in healthcare organizations require statistical knowledge that they apply to various aspects when making care decisions. In most cases, nurses in these specialties like emergency department, acute care, and inpatient settings as well as in pediatrics care obtain statistical knowledge through electronic health records (EHRs), patient health information, research findings, and surveys, and overall interactions with patients through assessment and evaluation (McDermott et al., 2019). For instance, nurses need statistical knowledge when conducting research and developing EBP interventions to improve patient care plans. The application of statistics in research focuses on the formulation of a hypothesis, data collection, analysis of information, interpretation, and sharing of the findings as well as using them to improve care delivery.

 In the emergency department, nurses need statistics to diagnose patients and offer critical care within the shortest time possible. Again, statistics allow providers to collaborate and share patient information, like protected health information (PHI) to make better decisions in care delivery. Nurses get statistical data through their interactions with patients during their examination and evaluation as well as when getting treatment and monitoring. The implication is that statistical knowledge is a critical component of developing appropriate EBP interventions to improve patient care delivery.

Nurses in different areas of healthcare delivery and research use statistical knowledge to make effective and appropriate decisions (Grove et al., 2019). Patients get diverse outcomes and recovery trajectories due to several aspects, and statistics are vital to identifying interventions that work for patients. The implication is that decisions concerning discharge, monitoring, and reporting outcomes are well-executed when backed up by statistical evidence. Therefore, the use of statistics and statistical knowledge is an indispensable part of the nursing process and healthcare delivery.

Conclusion

Statistics play an integral role in healthcare as it ensures the effective application of different initiatives, especially in developing interventions to enhance healthcare delivery among different populations and patients. Healthcare providers leverage statistics to improve the quality of care, ascertain patient safety, promote health, and use of evidence-based decisions by organizational leaders. As such, statistical knowledge is essential in gathering and analyzing data, interpreting findings, and developing appropriate EBP interventions to improve patient care.

References

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

Grove, S. K., & Cipher, D. J. (2019). Statistics for Nursing research-e-book: A Workbook for

            evidence-based practice. Elsevier Health Sciences.

Guetterman, T. C. (2019). Basics of Statistics for Primary Care Research. Family Medicine and

            Community Health, 7(2):11-17. DOI: 10.1136/fmch-2018-000067.

Heavey, E. (2022). Statistics for nursing: A practical approach. Jones & Bartlett Learning.

McDermott, D. S., Kamerer, J. L., & Birk, A. T. (2019). Electronic health records: A literature

review of cyber threats and security measures. International Journal of Cyber Research and Education (IJCRE), 1(2), 42-49.

Vandever, C. (2020). Introduction to research statistical analysis: An overview of the basics.

            HCA Healthcare Journal of Medicine, 1(2), 71-75. DOI: 10.36518/2689-0216.1062

Sample Answer 2 for HLT 362 Application of Statistics in Health Care

The purpose of this paper is to investigate the different applications and significance of statistics in healthcare. Specifically, it will explore the application to quality, safety, health promotion and leadership. Additionally, I will discuss how statistical knowledge is implemented within the healthcare organization where I work to maximize patient outcomes and facilitate effective decision-making processes. Thanks to technological advancements and access to vast amounts of healthcare data, statistical analysis has become a fundamental aspect of healthcare delivery. Healthcare professionals utilize statistical data to make data-driven decisions regarding treatment effectiveness assessment and identify possible health risks (Capobianco, 2019). Healthcare management relies heavily on statistical analysis for quality and safety assurance, promoting health benefits, and making informed decisions.

Application of Statistics in Healthcare

One key application of statistics in healthcare is research and clinical studies. Researchers use statistical methods to design and conduct trials, assess medical interventions and interpret study results. Statistical analysis can assist researchers in identifying the most effective treatments, mitigate risks for adverse events, and validate study findings- ensuring results can be trusted as valid and reliable data sets. Statistics is widely utilized within healthcare beyond research or clinical studies. Healthcare professionals rely on statistical data to detect patterns in patient data such as demographics, medical histories and clinical outcomes. By analyzing such information, healthcare providers can detect possible health risks and develop preventative plans to mitigate them. Statistical analysis can also be utilized to monitor treatments’ effectiveness and patient outcomes. By analyzing patient data, healthcare professionals can evaluate its impact on health outcomes and pinpoint areas for improvement (Batko & Ślęzak, 2022). Healthcare professionals can use this data to tailor treatment plans, prescribe appropriate medications and offer necessary interventions to maximize patient outcomes. Healthcare organizations also utilize statistical analysis to assess the cost-effectiveness of treatments and allocate resources efficiently (Batko & Ślęzak, 2022). Statistical data provides healthcare leaders with invaluable tools for identifying areas for improvement, allocating resources strategically, assessing organizational policies and procedures’ effects, evaluating employee performance and developing training programs designed to boost it.

Overall, statistics is a critical tool in healthcare management, enabling healthcare professionals to make data-driven decisions that improve patient outcomes and allocate resources effectively. From clinical studies and daily operations, decision-making processes to leadership decision-making strategies and leadership decisions involving statistics in healthcare are integral for quality, safety, and health promotion; hence healthcare professionals and organizations must have a strong grasp of statistical concepts to maximize healthcare delivery and improve patient outcomes.

Significance of Statistical Application in Healthcare

Quality and safety in healthcare rely heavily on statistical data. Quality-wise, statistical analysis can be utilized to monitor and evaluate healthcare services to ensure they comply with established quality standards. Healthcare organizations leverage statistical analysis tools to track patient satisfaction rates, identify areas for improvement and make data-driven decisions to enhance the quality of care (Abu-Baker et al., 2021). Statistical analysis also plays a pivotal role in protecting patient safety within healthcare environments. Healthcare professionals use statistical methods to identify potential safety risks and assess the success of safety interventions. Healthcare organizations can utilize data pertaining to patient safety incidents and near misses as an indicator of potential areas for improvement and implement preventative measures that lower risks to their patients. Statistics is also essential in clinical decision-making and treatment planning, providing healthcare professionals with tools to evaluate treatment effectiveness and track patient outcomes (Kriegova et al., 2021). By analyzing patient data, healthcare professionals can recognize trends and patterns pointing to potential health risks or areas for improvement, adjust treatment plans, prescribe appropriate medications, and implement necessary interventions to maximize patient outcomes.

Statistical analysis is an integral component of health promotion in healthcare organizations. Employing statistical tools, healthcare organizations can identify patient populations at risk for certain health conditions and develop targeted interventions to prevent or manage them (Kriegova et al., 2021). By analyzing population health data, healthcare professionals can detect disparities and develop programs to promote health equity. Healthcare leaders rely on statistical analysis to make informed decisions. Utilizing this tool helps healthcare leaders identify areas for improvement, allocate resources effectively and assess organizational policies and procedures’ impacts. Furthermore, statistical analysis helps assess employee performance and create training programs to enhance them.

Utilization of Statistical Knowledge in my Healthcare Organization

My organization greatly values using statistical knowledge as part of daily operations. We collect statistical data from various sources, such as electronic health records, administrative databases and patient surveys; then use advanced statistical software to analyze this data and identify trends, patterns or potential health risks that can help improve quality care, promote patient safety and optimize outcomes for our patients.

 Statistical knowledge is utilized within our organization is to evaluate the effectiveness of treatments. By tracking patient outcomes such as mortality rates, readmission rates and complications through statistical analysis, healthcare professionals can analyze treatment effectiveness and identify areas for improvement; ultimately enabling us to continuously enhance quality care delivery and ensure patients receive optimal care.

Statistical knowledge is integral to our organization, from decision-making to employee performance evaluation and training programs. Utilizing statistical data allows us to assess the cost-effectiveness of treatments while efficiently allocating resources which helps us to provide high-quality care while managing costs efficiently. Statistical analysis also allows us to analyze employee performance data and develop targeted training programs to enhance employee skills and knowledge.

Overall, statistical knowledge is an indispensable asset in our organization’s operations. By employing various statistical tools and methods to our advantage, we can utilize statistical knowledge to identify areas for improvement, maximize patient outcomes and deliver high-quality care efficiently. As healthcare delivery becomes more data-driven, statistical knowledge will become essential to meeting professional goals while improving patient care outcomes.

Conclusion

Statistical knowledge is indispensable to healthcare, empowering healthcare professionals to make more informed decisions, recognize trends and risks, and improve patient outcomes. From clinical studies, daily operations, and decision-making processes, statistical analysis is vital in supporting quality care delivery, safety initiatives, health promotion initiatives, and supporting healthcare leadership. Statistical knowledge has become more vital than ever for healthcare professionals and organizations as healthcare delivery becomes more data-driven. To achieve their goals and maximize patient outcomes, healthcare providers and organizations must invest in statistical education and tools so that they can provide patients with superior care quality ensuring they get the best care available.

References

Abu-Baker, N. N., AbuAlrub, S., Obeidat, R. F., & Assmairan, K. (2021). Evidence-based

practice beliefs and implementations: a cross-sectional study among undergraduate nursing students. BMC Nursing, 20(1), 13. https://doi.org/10.1186/s12912-020-00522-x

Batko, K., & Ślęzak, A. (2022). The use of Big Data Analytics in healthcare. Journal of Big

            Data, 9(1), 3. https://doi.org/10.1186/s40537-021-00553-4

Capobianco, E. (2019). Data-driven clinical decision processes: it’s time. Journal of

            Translational Medicine, 17(1), 44. https://doi.org/10.1186/s12967-019-1795-5

Kriegova, E., Kudelka, M., Radvansky, M., & Gallo, J. (2021). A theoretical model of health

management using data-driven decision-making: the future of precision medicine and health. Journal of Translational Medicine, 19(1), 68. https://doi.org/10.1186/s12967-021-02714-8