HLT 362 Application of Statistics in Health Care SOLUTION
Grand Canyon University HLT 362 Application of Statistics in Health Care SOLUTION-Step-By-Step Guide
This guide will demonstrate how to complete the HLT 362 Application of Statistics in Health Care SOLUTION 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 SOLUTION
Whether one passes or fails an academic assignment such as the Grand Canyon University HLT 362 Application of Statistics in Health Care SOLUTION 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 SOLUTION
The introduction for the Grand Canyon University HLT 362 Application of Statistics in Health Care SOLUTION 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 SOLUTION
After the introduction, move into the main part of the HLT 362 Application of Statistics in Health Care SOLUTION 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 SOLUTION
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 SOLUTION
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.
Stuck? Let Us Help You
Completing assignments can sometimes be overwhelming, especially with the multitude of academic and personal responsibilities you may have. If you find yourself stuck or unsure at any point in the process, don’t hesitate to reach out for professional assistance. Our assignment writing services are designed to help you achieve your academic goals with ease.
Our team of experienced writers is well-versed in academic writing and familiar with the specific requirements of the HLT 362 Application of Statistics in Health Care SOLUTION assignment. We can provide you with personalized support, ensuring your assignment is well-researched, properly formatted, and thoroughly edited. Get a feel of the quality we guarantee – ORDER NOW.
Assessment Description
Statistical application and the interpretation of data is 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:
Introduction
Statistics refers to the data collection, organization, analysis, interpretation, and presentation. Health statistics comprises the numeric information about various aspects of health such as trends in illnesses, cure rates, hospital revenue, medicine, mortality, and hospital malpractices, among others (Helbig et al. 2018). Health Statistics can be applied in healthcare to enhance planning, operation, and decision-making effectiveness. Through effective planning, operation, and decision-making, healthcare leadership, promotes the population’s health and safety (Aggarwal, R. 2018). The following is a discussion on the application of statistics in healthcare, mainly focusing on its significance to quality, safety, health promotion, and leadership. In addition, the write-up discusses how health statistical data can be obtained and used in routine operations and decision-making.
Application of Statistics in Health Care
Health statistics focus on the correlations between variables in healthcare. Its utility has evolved over the years, giving reliable information for routine operations, planning, and decision-making. Accord
ing to Helbig et al. (2018), Florence Nightingale used applied statistics to remedy risky neglect of sanitary precautions in the army. She collected data on the number of injured soldiers, infections, poor nutrition, and respiration to help her improve the conditions. In the 18th century, medical practitioners focused on developing mathematical progressions and theories of probability. The use of medical statistics continued to develop, and most governments developed civil registration for the birth and demise of their citizens. Currently, health statistics necessity has continued to increase with the technological advancement making it more reliable in enhancing quality initiatives, safety through precautionary measures, health promotion, and improved decision-making in healthcare leadership (Helbig et al. 2018).
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.
Quality
Health statistics help healthcare facilities offer quality and reliable patient care for patients by providing up-to-date information regarding diseases and their possible preventive and curative measures. Using statistics, the healthcare facilities can identify the trends in the population’s health and aid in reliable predictions necessary for the population’s health improvement. Electronic Medical Records (EMR) aid in collecting an enormous volume of data on biostatistics, mortality rate, and diagnosis results, among others (Helbig et al., 2018). The data is analyzed and aid in quality outcomes that aid in improving planning and operational procedures in patient care. For instance, healthcare practitioners can identify evidence-based medicine, which is helpful in the provision of quality care for patients through health statistics. On the same note, health statistics help measure healthcare quality through the patient’s healthcare outcomes. Healthcare quality measuring is essential in improving healthcare quality by identifying faults and areas that need improvement (Allen-Duck et al., 2017).
Safety
Patient safety is the priority of every healthcare practitioner. According to WHO (2019), patient safety is a discipline that emerged due to the progressing complexity in health care facilities and the raising in patient harm. This discipline aims to prevent and reduce risks, harm, and mistakes during patient care in healthcare facilities. The healthcare discipline is mainly based on improving from errors previously recorded and adverse events in patient care. Quality health care is supposed to be effective in health restoration, safe, and people centered. To ensure patient safety, patient care must be timely, standardized, effective, and integrated (Lawati et al., 2018). Health statistics help review and develop patient safety strategies with elaborate policies, data-driven safety improvements, qualified healthcare practitioners, and effective leadership.
Health Promotion
Health promotion is very important in any given population as it reduces the health care burden in the healthcare facilities. Health and well-being are affected by levels of hygiene and sanitation, nutrition, socio-economic conditions, culture, and environmental changes, among other factors (Ocaña-Riola, R. 2016). Health statistics can address health issues and concerns effectively by identifying the concern groups in the demographics and empowering them to take action to improve their health concerns. Secondly, public health can be promoted by encouraging health care leadership in public health that would develop healthy public policies and guide the public through healthy programs engineered to improve their health concerns (Ocaña-Riola, R. 2016). Therefore, the health statistics are used by the health care providers to match the various public health concerns with the services offered by the healthcare system, such as immunization, public health awareness programs, disease management, and preventive measure against infectious diseases.
Leadership
Health statistics are essential in healthcare leadership as they influence health planning, operation, and decision-making. Leadership in health care has the mandate of giving directions regarding various aspects of health care, such as budgetary allocations, infectious diseases awareness, and precautionary measures (Hargett et al., 2017). Through descriptive statistics, the healthcare leaders can determine the monetary implications of health care service delivery and the resources required to accord the essential services to the public. On the same note, statistics enable healthcare leaders to determine the effectiveness of healthcare initiatives to base their improvement or reconsideration. Lastly, health statistics guide health care leaders in making facts-based decisions in medical planning, operations, and resources requirement (Hargett et al., 2017).
Utilization of Health Care Statistical Knowledge in Health Care Organization
Health statistics are essential in the efforts toward the establishment of efficiency and effectiveness in healthcare operations. As a nurse, I use health statistics in my routine operation to monitor and track the trends in infectious diseases. In my organization, we track and record reported cases of contagious illness in the hospital. These data help us track any potential outbreak of infectious diseases within the community and lay down measures to curb the outbreak and prevent the spread of infection. In my last encounter, I realized an increasing number of malaria cases reported in the health center over two months. Through this statistic and the healthcare facility management, we initiated an awareness program for malaria outbreaks and provided preventive gear to the vulnerable people in the community.
Conclusion
Conclusively, statistics remains to be one of the essential segments of the healthcare system. Hospital and medical facilities use statistics through the implementation of EMR systems that enhances data collection on biostatistics, mortality rate, and diagnosis results, among others. These data are analyzed to give fact-based information that the health care facilities use in their planning, operations, and decision-making. Furthermore, health statistics foster quality of health care services, patients’ safety, health promotion, and effective leadership of the healthcare facilities. Therefore, health statistics are widely used in most operations in healthcare facilities. It enhances the tracking and monitoring of a healthcare concern enabling the development and implementation of viable decisions to counter the health concerns.
References
Aggarwal, R. (2018). Statistical literacy for healthcare professionals: Why is it important?. Annals Of Cardiac Anaesthesia, 21(4), 349. https://doi.org/10.4103/aca.aca_177_18
Allen-Duck, A., Robinson, J., & Stewart, M. (2017). Healthcare Quality: A Concept Analysis. Nursing Forum, 52(4), 377-386. https://doi.org/10.1111/nuf.12207
Helbig, J., Ambrose, J., & Torres, E. (2018). Applied Statistics for Health Care. Lc.gcumedia.com. Retrieved 24 June 2022, from https://lc.gcumedia.com/hlt362v/applied-statistics-for-health-care/v1.1/.
Hargett, C., Doty, J., Hauck, J., Webb, A., Cook, S., & Tsipis, N. et al. (2017). Developing a model for effective leadership in healthcare: a concept mapping approach. Journal Of Healthcare Leadership, Volume 9, 69-78. https://doi.org/10.2147/jhl.s141664
Lawati, M., Dennis, S., Short, S., & Abdulhadi, N. (2018). Patient safety and safety culture in primary health care: a systematic review. BMC Family Practice, 19(1). https://doi.org/10.1186/s12875-018-0793-7
Ocaña-Riola, R. (2016). The Use of Statistics in Health Sciences: Situation Analysis and Perspective. Statistics In Biosciences, 8(2), 204-219. https://doi.org/10.1007/s12561-015-9138-4
Patient Safety. WHO (2019). Retrieved 24 June 2022, from https://www.who.int/news-room/fact-sheets/detail/patient-safety.
- Describe the application of statistics in health care. Specifically discuss its significance to quality, safety, health promotion, and leadership.
- 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. A link to the LopesWrite technical support articles is located in Class Resources if you need assistance.
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