HLT-362V Topic 3 Assignment
Grand Canyon University HLT-362V Topic 3 Assignment– Step-By-Step Guide
This guide will demonstrate how to complete the Grand Canyon University HLT-362V Topic 3 Assignment 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 3 Assignment
Whether one passes or fails an academic assignment such as the Grand Canyon University HLT-362V Topic 3 Assignment 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 3 Assignment
The introduction for the Grand Canyon University HLT-362V Topic 3 Assignment 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.
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How to Write the Body for HLT-362V Topic 3 Assignment
After the introduction, move into the main part of the HLT-362V Topic 3 Assignment 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 3 Assignment
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 3 Assignment
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 3 Assignment
Article Analysis: Example 2
| Article Citation and Permalink | Rao Deepa, P., Parth, P., Roberts Karen, C., & Wendy, T. (2018). Original quantitative research Obesity and healthy aging: social, functional and mental well-being among older Canadians. Health promotion and chronic disease prevention in Canada: research, policy and practice, 38(12), 437. 10.24095/hpcdp.38.12.01 | Zhang, Y., Vittinghoff, E., Pletcher, M. J., Allen, N. B., Al Hazzouri, A. Z., Yaffe, K., … & Rana, J. S. (2019). Associations of blood pressure and cholesterol levels during young adulthood with later cardiovascular events. Journal of the American College of Cardiology, 74(3), 330-341. 10.1016/j.jacc.2019.03.529 |
| Point | Description | |
| Broad Topic Area/Title | The major topic of the study is “Original quantitative research Obesity and healthy aging: social, functional and mental well-being among older Canadians” From the theoretical frameworks, it has been theorized that obesity have impacts on the healthy aging. This quantitative study therefore attempts to apply the primary data to try and prove the above claims. The broad topic of the study is in line with the objectives and the anticipated outcomes of the study. The study is important in establishing some of the effective health factors that can allow each individual to ensure effective lifestyle. | The main topic of the study is: “Associations of blood pressure and cholesterol levels during young adulthood with later cardiovascular events” The study aims at establishing the relationship that exist between the cholesterol levels and the blood pressure. From the theoretical framework, high amount of cholesterol in the body is associated with high blood pressure. In other words, the blood pressure increases with the increase in the amount of cholesterol in the body. This study therefore utilizes the primary data collected in the course of the study to determine the association that exist between high blood pressure and the amount of cholesterol in the body. |
| Define Hypotheses | Null Hypothesis (Ho): There is no impact of obesity on healthy aging Alternative Hypothesis (H1): There is impact of obesity on healthy aging | Null Hypothesis (Ho): There is no correlation between the blood pressure and the amount of cholesterol in the body Alternative Hypothesis (H1): There is a correlation between the blood pressure and the amount of cholesterol in the body |
| Define Variables and Types of Data for Variables | Independent variable: Body weight (continuous variable with a normal distribution). Dependent variable: Rate of aging (continuous variable with a normal distribution) | Independent variable: Amount of cholesterol in the body (continuous variable with a normal distribution). Dependent variable: Blood pressure (continuous variable with a normal distribution). The dependent and the independent variables in the study are important are essential in the determination of correlation that exist. Also, the dependent and independent variables are important in proving both the null and alternative hypothesis. |
| The population of Interest for the Study | The population of interest in the study included obese elderly persons. Only individuals aged between 55 and 85 years were considered in the study. The population of interest mainly consisted of individuals who are overweight. The participants selected for the study were followed over a period to determine the impacts that overweigh has on their rate of aging. At this age range, individuals are always prone to obesity given the reduction in the metabolic rates. | The population under the study involves individual with high blood pressure. The cases of blood pressure is on the rise due to the kinds of food intake. Individuals with high blood pressure are also on the rise. The study therefore takes into consideration of different individuals with high level of cholesterol that leads to high blood pressure. The sample size were selected from the above population in line with the required sampling processes. The population were identified from different healthcare institutions and in the community settings. |
| Sample | The sample size used was 21 241. In other words, a total of 21 241 obese individuals between the age of 55 and 85 were selected to participate in the study. These people were recruited from different locations through simple random sampling. | The sample size used in the study was 36,030. In other words, a total of 36,030 individuals with high blood pressure were selected to take part in the study. The respondents were selected from different healthcare institutions and in community settings. The sample size used was a perfect representation of the entire population under the study. In other words, the number of respondents selected for the study was good enough to represent the entire population. |
| Sampling Method | From the study, simple random sampling was used identify the respondents or participants in the study process. The simple random sampling was employed given the fact that it is one of the simplest approaches in the sampling processes. The sample selected for the study was a representation of the entire population under the study. Simple random sampling was simple and accurate. | Simple random sampling was used identify the respondents or participants in the study process. The simple random sampling was employed given the fact that it is one of the simplest approaches in the sampling processes. Simple random sampling is one of the cheapest and the easiest method to use in the study process. It involves random selection of individuals or participants from the identified solution. |
| How Were Data Collected? | After the identification of the sample size or the respondents, questionnaires were used to record the responses obtained. Each of the respondents were presented with the questionnaire; the body weight were measured against their height and recorded. Also, the rate of aging and the age were recorded for further analysis. The questionnaires were designed to capture the essential information from the study participants. The questionnaires were simple and direct on point so that each participant would give appropriate opinions. After the process of data collection, the information presented into the database for the processes of analysis. | Questionnaires were used to collect the primary data for the study process. Each of the identified participant was presented with the questionnaire and their replies were recorded. The respondent’s blood pressure and the amount of cholesterol in the body were recorded based on the set standard. The data were entered into the questionnaire based on the set format. |
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References
Rao Deepa, P., Parth, P., Roberts Karen, C., & Wendy, T. (2018). Original quantitative research Obesity and healthy aging: social, functional and mental well-being among older Canadians. Health promotion and chronic disease prevention in Canada: research, policy and practice, 38(12), 437. Retrieved from:
Zhang, Y., Vittinghoff, E., Pletcher, M. J., Allen, N. B., Al Hazzouri, A. Z., Yaffe, K., … & Rana, J. S. (2019). Associations of blood pressure and cholesterol levels during young adulthood with later cardiovascular events. Journal of the American College of Cardiology, 74(3), 330-341. Retrieved from:
10.1016/j.jacc.2019.03.529
HLT 362V Topic 4 Assignment Sample Answer
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