HLT-362V Topic 5 ASSIGNMENT 2 Summary and Descriptive Statistics

Grand Canyon University HLT-362V Topic 5 ASSIGNMENT 2 Summary and Descriptive Statistics– Step-By-Step Guide

This guide will demonstrate how to complete the Grand Canyon University  HLT-362V Topic 5 ASSIGNMENT 2 Summary and Descriptive Statistics 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 Topic 5 ASSIGNMENT 2 Summary and Descriptive Statistics                                

Whether one passes or fails an academic assignment such as the Grand Canyon University  HLT-362V Topic 5 ASSIGNMENT 2 Summary and Descriptive Statistics 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 Topic 5 ASSIGNMENT 2 Summary and Descriptive Statistics                                

The introduction for the Grand Canyon University  HLT-362V Topic 5 ASSIGNMENT 2 Summary and Descriptive Statistics  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 Topic 5 ASSIGNMENT 2 Summary and Descriptive Statistics                                

After the introduction, move into the main part of the HLT-362V Topic 5 ASSIGNMENT 2 Summary and Descriptive Statistics       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 Topic 5 ASSIGNMENT 2 Summary and Descriptive Statistics                                

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 Topic 5 ASSIGNMENT 2 Summary and Descriptive Statistics                                

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-362V Topic 5 ASSIGNMENT 2 Summary and Descriptive Statistics

Measures of Central Tendency 

Measures of central tendency are used to determine different attributes of data. Alternatively, measures of central tendency can be defined as the single value that is applied in describing a set of data by identifying the central point within a given set of data. Before undertaking data analysis, there is always the need to determine measures of central tendencies to understand the distribution of a given set of data (Amrhein et al., 2019). Measures of central tendencies include mode, median, mean, maximum, minimum, standard deviation, range, and frequencies. Descriptive statistics are always applied by data analysts to determine the normality of data before deciding on the type of statistical test to use. For instance, both the mean and median can be used to determine the distribution of data and thereafter types of inferential statistics to utilize in the process of data analysis (Kaliyadan & Kulkarni, 2019). Before engaging in the analysis of any type of data set, there is the need for the determination of the descriptive statistics so as to inform the entire process.   

The tables presented below indicate the descriptive statistics for the National Cancer Institute. The process of data collection was undertaken through the application of a Microsoft Excel spreadsheet. Excel formulas were mainly applied in the determination of measures of central tendencies, including mean, median, and mode.  

Table 1 

Table 2 

Table 3 

Table 4 

Table 5 

From table 1 to table 5, there is the presentation of the descriptive statistics for the races included in the study. The values of data were recorded for every 100,000 individuals. Going by the mean of the data, the black community had the highest rate of cancer complications, with Whites coming second. The mean of the black race suffering from cancer complications exceeded the mean for all other races. Mode and media from the analysis also indicate a continuous and normally distributed dataset used in the analysis. Hispanics showed the lowest rates of cancer infections going by the mean and median presented. The dataset used in the study was gathered for a period of five years, starting from the year 2000 to 2016. The lowest rate of cancer infection was recorded as 32, while the highest rate was 51.7.     

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HLT-362V Topic 5 ASSIGNMENT 2 Summary and Descriptive Statistics

Table 6: Measures of Variation 

Figure 6 indicates measures of variation for the descriptive statistics given in tables 1 to 5 above. The highest variation was recorded among the participants from the black race. The highest mean recorded by the black race also indicated the highest variation. The measures of variation were also recorded for every 100,000 persons. From the table, maximum and minimum measures were also used in determining the variation of the data presented in the dataset.    

References 

Amrhein, V., Trafimow, D., & Greenland, S. (2019). Inferential statistics as descriptive statistics: There is no replication crisis if we don’t expect replication. The American Statistician, 73(sup1), 262-270. Retrieved from: https://doi.org/10.1080/00031305.2018.1543137 

Kaliyadan, F., & Kulkarni, V. (2019). Types of variables, descriptive statistics, and sample size. Indian dermatology online journal, 10(1), 82. Retrieved from: 10.4103/idoj.IDOJ_468_18 

HLT 362V Topic 4 Assignment Sample Answer

Quality Improvement Proposal 

Quality improvement is an important part of operations in the healthcare systems. Most healthcare institutions often conduct quality improvements to enhance the quality of treatment processes and effective patient outcomes. Also, quality improvements are often made to enhance safety and efficiency in the treatment processes. Quality improvement processes usually involve redesigning operational systems to adopt new practices that are critical in achieving effective and quality treatment outcomes. While undertaking quality improvement processes, there is always the need to consider different resources available and how they can enhance overall success. Quality improvement processes should always be based on evidence-based practices and research. In other words, before undertaking quality improvement processes, there is always the need for healthcare management or clinical expertise to engage in the research processes to identify the areas that require adjustments. Before engaging in the quality improvement processes, the researchers always need to identify healthcare problems that are causing inefficiencies in the healthcare operational processes. In other words, quality improvement processes should be based on the selected research problems and the complete tools that can be dedicated to the healthcare process’s general success.        

Overview of the Problem 

Healthcare data breach is one of the main problems facing healthcare systems. Data breach often results from poor management of patient information or data. With the emergence of cyber insecurities across different sectors, organizations need to consider training processes to equip healthcare professionals with advanced nursing analytics knowledge. Healthcare data breach continues to cause a lot of problems in different healthcare institutions. Most of the patients cannot receive adequate treatment processes and medications due to poor management of data in various healthcare facilities. Also, loss of patient’s data can sometimes lead to the administration of wrong treatments or medications. With the current increase in cybercrime activities, healthcare institutions must engage in serious protection of their databases to protect patient’s information. Data breach is becoming costly to most healthcare institutions. Healthcare data breaches accounted for about 26% of all the breaches recorded in the year 2016. On the other hand, close to 25% have had their medical data or information compromised. The data breaches are always caused by hackers who have the motive of gaining in the process. The healthcare data obtained by hackers are highly valued for financial, personal, and medical gains.    

Why Quality Improvement Initiative is needed in the 

Area of Medication Management 

   The quality improvement initiative is needed in the area of data management to reduce the cases of data breach, which lead to treatment errors and compromise to patient information. With the safety of data, patients may become assured of the privacy of their information. Also, they may become confident in the treatment processes. For private healthcare organizations, quality improvements are required to manage patient data to avoid losing potential clients. With the increase in cybercrime, healthcare institutions ought to put their databases in order and secure to avoid falling into cybercriminals or hackers’ traps. Quality improvement processes are also required in the area of data management to enhance efficiency in the operational processes. With an effective database, healthcare professionals can efficiently obtain the data required in facilitating the treatment processes. Some of the quality improvement approaches to curb the data healthcare data breach may include applying an effective and secure database, enhancing data management processes, and continuous training of the healthcare staff on the effective management of data and patient information. 

  Training of staff on the data management processes and recruiting competent data managers are some of the quality improvement initiatives that will ensure that patients’ data are well protected. Also, the application of safe and secure equipment in patient information management is a critical approach to quality improvements. While using technology, the management should always ensure that systems used are trustable and free from possible breaches (Angst et al., 2017). Quality improvements in data management are important for most healthcare organizations in ensuring the patient’s information’s safety and security. Healthcare organizations should be currently involved in the search for innovative approaches in managing patient information and data. 

How the Results of Previous Research Demonstrate Support For The 

Quality Improvement Initiative and Its Projected Outcomes 

There are different previous research outcomes that show that data breach management is significant in ensuring quality outcomes in the healthcare processes, safety, and security of patient’s information. According to McLeod and Dolezel (2018), management of effective patient information management is key in ensuring smooth operational processes. Also, the quality improvement strategy, i.e., the protection of the databases and patient’s data, is critical, ensuring smooth operational processes. The research conducted by Kruse et al. (2017) also suggests that approaches towards the management of databases are a critical quality improvement initiative that can ensure that there are quality operational processes. Further, the research also stipulates that effective management of patient information is one way of preventing cyber threats. Finally, the study undertaken by Abouelmehdi et al. (2018) shows that controlling data breaches through engaging in quality improvement initiatives is critical in promoting quality and effective healthcare outcomes. 

Steps Necessary to Implement the Quality Improvement Initiative 

The first step in implementing the quality improvement initiative involves prioritizing and listing the possible improvement opportunities. In step one, the database management should always give priorities to areas that require immediate interventions or improvements. The second stage of quality improvement should involve identifying the measurable objectives that have been set by the quality improvement teams and the approaches that need to be undertaken in quality improvement. The third step in quality improvement is the definition of the requirements and the appropriate approaches needed to achieve the entire process of quality improvement. The fourth step should incorporate the collection and analysis of data to determine the suitability of viable solutions and the procedures that can work in the entire process of quality improvements. In the final step, the quality improvement task force ought to implement the solution provided after the process of research and data analysis and, thereafter, evaluate the results and extra or additional anticipated outcomes.        

Evaluation of Quality Improvement 

After the implementation of the quality improvement initiative, the evaluation processes are critical in ensuring that the approaches and procedures included are effective and operational. First, there will be testing of quality improvement strategy and the outcomes compared to the operational processes’ current practices. In case there is an improvement recorded after the comparison, the quality improvement initiative may be considered viable. The quality improvement initiative will also be considered for other quality improvement approaches that have been utilized within the organization. In the newly developed quality improvement is more efficient, then the previous methodologies may be rejected, and the new ones adopted to facilitate operational processes. In the process of evaluating quality improvement initiatives, there will be an application of statistical tests that will involve comparing independent and dependent variables. Also, in the process of data analysis, there will be the formulation of the null hypothesis and alternative hypothesis. To test the statistical significance, the student t-test will mostly be applied.    

Conclusion 

Quality improvement is critical to the success of the organization. However, the whole process of quality improvement requires huge funding and a large number of resources to be employed. Also, there is always the need to conduct research processes that involve the collection and analysis of data to ensure that the objectives of quality improvements are achieved. Quality improvement is meant to enhance efficiency, quality improvement, safety, and save costs associated with healthcare processes. Most healthcare institutions often conduct quality improvements to enhance the quality of treatment processes and effective patient outcomes. Also, quality improvements are often made to enhance safety and efficiency in the treatment processes. The quality improvement initiative is needed in the area of data management to reduce the cases of a data breach, which leads to treatment errors and compromise of the patient’s information.      

References 

Abouelmehdi, K., Beni-Hessane, A., & Khaloufi, H. (2018). Big healthcare data: Preserving security and privacy. Journal of Big Data, 5(1), 1. https://doi.org/10.1186/s40537-017-0110-7 

Angst, C. M., Block, E. S., D’arcy, J., & Kelley, K. (2017). When do IT security investments matter? Accounting for the influence of institutional factors in the context of healthcare data breaches. Accounting for the Influence of Institutional Factors in the Context of Healthcare Data Breaches (January 24, 2016). Angst, CM, Block, ES, D’Arcy, J., and Kelley, K, 893-916. https://ssrn.com/abstract=2858549 

Kruse, C. S., Frederick, B., Jacobson, T., & Monticone, D. K. (2017). Cybersecurity in healthcare: A systematic review of modern threats and trends. Technology and Health Care, 25(1), 1-10. doi: 10.3233/THC-161263. 

McLeod, A., & Dolezel, D. (2018). Cyber-analytics: Modeling factors associated with healthcare data breaches. Decision Support Systems, 108, 57-68. doi:10.1016/j.dss.2018.02.007