HLT-362V Application of Statistics in Health Care
Grand Canyon University HLT-362V Application of Statistics in Health Care-Step-By-Step Guide
This guide will demonstrate how to complete the HLT-362V 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-362V Application of Statistics in Health Care
Whether one passes or fails an academic assignment such as the Grand Canyon University HLT-362V 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-362V Application of Statistics in Health Care
The introduction for the Grand Canyon University HLT-362V 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-362V Application of Statistics in Health Care
After the introduction, move into the main part of the HLT-362V 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-362V 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-362V 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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HLT-362V Application of Statistics in Health Care
Introduction
Statistics refers to the science concerned with studying and developing procedures or methods gathering, analyzing, interpreting, and presenting empirical data for decision-making purposes. Statistics is applied in different sectors to determine trends and predict the future performance of different processes. In healthcare, statistics serve different purposes, including measurement of quality improvement processes, measuring performance, predicting the future trends in the healthcare delivery processes, enhancing research and evidence-based practices. Statistics has become a cornerstone of healthcare companies in measuring the failures and success of different processes.
Although my specialty is cardiac nursing, I often care for patients who are either being admitted for a stroke, or they have a past medical history of a stroke. As you mentioned, time is tissue and every minute counts in these scenarios. Once brain tissue has been without oxygen for too long, there is no reversing that. My facility is stroke certified and we have an average door to CT table time of 10 minutes with our fastest time being 4 minutes. This is something we pride ourselves on since time is so important. According to the Centers for Disease Control, one in four stroke survivors have another stroke within five years (2022). This is why stroke rehabilitation is also of the utmost importance to begin as soon as possible, since some of the lasting effects can be minimized with the proper therapy.
Application of Statistics in Healthcare
The information drawn from the studies involving statistics is often used to guide decision-making processes in healthcare organizations. Today, healthcare organizations widely apply statistics to determine the level of performance and the outcomes of different processes. Governmental institutions, particularly those involved in the development of healthcare policies, rely on statistical data to determine the population’s overall well-being (McGee et al., 2018). To enhance the delivery of quality care, healthcare institutions and pharmaceutical companies ought to understand patients to evaluate the risks associated with them and institute the best treatments for effective outcomes. Statistical information is therefore essential in the assessment or evaluation processes for better treatment procedures to be conducted.
With the increased competition in the healthcare sector and the increased number of patients, healthcare companies continue to struggle to efficiently quality healthcare services. As a result, research processes are always needed to determine successes and failures. The research processes often rely on the data/information collected and stored in the healthcare databases. The application of statistical knowledge to analyze, interpret and present data is necessary to determine possible areas of weaknesses in healthcare systems. Valid and applicable statistical information can be applied to determine future outcomes in healthcare delivery processes as a scenario that may inform possible changes required to ensure continuous quality performance. Most healthcare institutions are involved in the collection and storage of data at every stage of treatment processes. Capture and storage of these data require the application of statistical knowledge (Marques et al., 2018). Besides, the data gathered can be applied in clinical trials to determine quality treatment approaches that can be applied to reduce errors and increasing problems such as healthcare-acquired infections. Through clinical trials, medical researchers have been able to identify the adverse effects of drugs and some procedures used in the treatment of patients.
The understanding of the prevalence of diseases requires statistical methods. Healthcare institutions require advanced information on how to manage different forms of diseases. For instance, when there is an outbreak of infectious diseases, healthcare institutions often engage inadequate preparations for the management of possible patient influx; they mostly utilize the knowledge of statistics to determine trends or the levels of infections. Further, epidemiology, which is a major area of medical research, entirely relies on statistical knowledge. Epidemiology, also referred to as biostatistics, is an integration of statistics and microbiology to facilitate studies of diseases among populations.
The knowledge of statistics is significant to quality improvement, the safety of healthcare delivery, health promotion, and leadership.
Quality improvement processes rely on statistical knowledge to determine the evaluation of the outcomes and the procedures that can be undertaken (Ekin, 2019). Setting safety standards in healthcare facilities rely on the data analysis outcomes and the interpretation of possible procedures that may lead to unsafe delivery of healthcare services. Finally, the knowledge of statistics in healthcare has great significance in leadership and management. To make correct decisions, leaders and healthcare managers rely on the outcomes of the statistical research outcomes. Leaders also apply statistical knowledge to predict results, address complex or technical issues, and provide an elaborate solution to general problems impacting healthcare institutions.
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In my organization, statistical knowledge is applied to determine trends in patient admission and nurse-to-patient ratio. The trends are always determined after careful analysis of medical information or data that have been collected for a given period. For my organization, the presence of statisticians who are continuously involved in the research processes has been a blessing to the organization, particularly setting operational standards and recruiting enough nurses for better services amidst the increasing number of patients.
In my healthcare organization, data collection processes involve the use of technology. There are well-established EMR systems and databases that facilitate the capture and storage of clinical data. Patient information/data are always taken from the point of admission, treatment processes, and discharge. Healthcare professionals are well trained on how to apply the EMR systems to capture patient data. At the moment, the organization has a wide array of data that can be analyzed and the outcomes used in the decision-making processes.
Conclusion
Statistics refers to the science concerned with studying and developing procedures or methods gathering, analyzing, interpreting, and presenting empirical data for decision-making purposes. The knowledge of statistics is important in different sectors. Today’s operational processes rely on data that can only be generated and analyzed by those with knowledge of statistics. Today, statistics is widely applied by healthcare organizations to determine the level of performance and the outcomes of different processes. Governmental institutions, particularly those involved in the development of healthcare policies, rely on statistical data to determine the population’s overall well-being.
References
McGee, D., Lorencatto, F., Matvienko-Sikar, K., & Toomey, E. (2018). Surveying knowledge, practice, and attitudes towards intervention fidelity within trials of complex healthcare interventions. Trials, 19(1), 1-14. https://trialsjournal.biomedcentral.com/articles/10.1186/s13063-018-2838-6
Marques, C. S., Santos, G., Marques, V., & Ramos, E. (2018, September). The impact of knowledge creation, acquisition, and transfer on innovation in the healthcare sector. In European Conference on Knowledge Management (pp. 494-502). Academic Conferences International Limited. https://www.proquest.com/openview/56146799514cd6f30fadfe7f6739975b/1?pq-origsite=gscholar&cbl=1796412
Ekin, T. (2019). Health care systems and fraud. Statistics and Health Care Fraud, 1-30.
Health care quality indicators (Edition 2019). (2017). OECD Health Statistics.
Statistics – numerical data gathered through measurements or observation that define the traits of population samples-help healthcare decision makers. The value, effectiveness and price of medical products and services are summarized by descriptive statistics. Organizations in the healthcare industry are increasingly using statistical analysis to evaluate their performance. To increase efficiency, hospitals and other big provider service organizations use data-driven, ongoing quality improvement programs. Using statistical data, government health and human care organizations assess the general health and well-being of the population (Ray Casto, 2017). Healthcare providers work hard to efficiently deliver high-quality products and services. The data assist the businesses in assessing performance success and failure in other to predict future outcomes, managers responsible for quality improvements develop benchmarks or criteria of service excellence. Reliable statistical data can be used to chart the viability and overall growth, reduce trade-off risks (Ray Casto, 2017).
Relevance of Statistics in Quality Improvement
Managers endeavor to raise the caliber of the services they provide, and they may use a variety of standards to predict future outcomes (“Diagnostic and screening statistics,” 2016). The massive amount of healthcare data that is daily gathered from the electronic medical record (EMR), including data on biostatistics, surveys of patient and employee satisfaction, child births, morbidity and mortality rates, and the prevalence of diseases, adverse events (catheter associated urinary tract infection and patient falls), can provide answers to specific questions through data analysis. Data analysis improves evidence-based procedures and keeps track of outcomes.
Statistics are crucial because they enable early detection of problems, allowing for their avoidance in the future. In addition to decreasing waste, they also shorten the time needed make specific goods so that a greater variety of goods can be produced consistently well (BDK UK, 2018).
Safety Significance of Statistics
Key indicators are derived from statistical analysis. For instance, monitoring catheter-associated urinary tract infection (CAUTI) in patients can show whether the right steps are being done to minimize their frequency and avoid such infections in the hospital settings. Metrics are very helpful in assessing current procedures and monitoring quality and safety (Martin, McKee, & Dixon-Woods, 2015).
The improvement of patient safety depends heavily on fully integrated clinical, financial, and operational data as well as predictive analytics and machine learning. Utilizing this methodology, tools will identify risks and recommend interventions for use throughout the continuum of care (Stan Pestotrik, 2019).
Relevance of Statistics in Health Promotion Significance
Public health and the promotion of health heavily rely on statistics. Government agencies and healthcare providers can monitor population data using statistics to spot broad-scale health indicators and patterns. This is very helpful in determining the need for an intervention and the results that will follow. From the standpoint of public health, statistics can assist in monitoring disease outbreaks, chronic disease morbidity and mortality, immunization rates, health risks like alcohol and tobacco, and some other factors such as fatal accident rates.
The Centers for Disease Control and Prevention (CDC) track diseases and introduce practical measures to address them through practice modifications, guidelines, legislation, or public health promotion (Hayat, Powell, Johnson, and Cadwell, 2017). These details include descriptive statistics, variations, frequency distribution, and incidences.
Relevance of Statistics in Leadership
Understanding the data and being able to use it are crucial leadership skills for those in the healthcare industry. The leader should be regarded as a collaborator in the implementation of the studied data. Leaders in the healthcare sector should be able to assess the analysis’ reliability or applicability. The future of healthcare is created through data analysis. Trends are discovered throughout the data analysis, and these trends enable the assumption of predictability. The predictability assumptions strengthen care delivery models, improving patient safety and quality outcomes. The data is statistically analyzed to provide answers to issues that advance population health (Grand Canyon University, 2018)
Additionally, leadership can be statistically expressed in two ways: the capacity to exert control over components of an activity, and the ability to make prompt decisions regarding essential interventions.
Statistics in the Workplace
In every day-to-day activity in the hospital as a nurse, statics is unavoidable required as an important tool in data collection and analysis.
The process of getting the required data typically doesn’t involve much complexity, I gather data in numerical form, such as birth rates based on the frequency of pregnancies each year. Additionally, statistics is crucial in our day-to-day work when comparing the number of patients who have been admitted to the hospital or who have been discharged to the department’s overall population. Such calculations may also be helpful in the decision-making process because the correctness of the data acquired enables the development of a clear conclusion. As a result, I use statistics as a reliable method of gathering evidence.
Statistical analysis is a useful method for gathering the required proof in the health sector. Additionally, the methods employed for correlation calculations and reporting help to advance health, public safety, and leadership while also enhancing the standard of medical care. Statistics at work help healthcare professionals meet the difficulties of the day with positive results.
References
BDK UK, (2018). Statistical Analysis in Quality Control. Retrieved from https://www.bdk.uk.com/2018/09/importance-statistic-analysis-quality-control
Diagnostic and Screening Statistics, (2016). Using Relative Statistics and Appropriate Disease Prevalence to Compare Screening Tests. https://www.ncbi.nih.gov/pmc/articles/PMV5947324/
Grand Canyon University. (Ed.). (2018). Applied Statistics for Health Care. https://lc.gcumedia.com/htl362vn/applied-statistics-for-health-care
Hayat, M. J., Higgins, M., Schwartz, T.A., & Staggs, V.S., (2015). Statistical challenges in nursing education and research: An expert panel consensus. Nurse Educator. https://www.sciencedirect.com/science/article/abs/pii/S1555415521002798
Ray Casto, (2017). Why Are Statistics Important in the Health Care Field? https://www.fairmountbenefits.com/2017/09/19/why-are-statistics-important-in-the-health-care-field-pa-benefit-advisors/
Martin, G. P., McKee, L., & Dixon-Woods, M. (2015). Beyond metrics? Utilizing “soft intelligence” for healthcare quality and safety. Social Science & Medicine, 142, 19-26. Web
Stan, P., (2019). How to use Data to Improve Quality and Patient Safety. https://www.healthcatalyst.com/insights/use-data-improve-patient-safety