HLT 362 Article Analysis 2
Grand Canyon University HLT 362 Article Analysis 2 – Step-By-Step Guide
This guide will demonstrate how to complete the Grand Canyon University HLT 362 Article Analysis 2 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 Article Analysis 2
Whether one passes or fails an academic assignment such as the Grand Canyon University HLT 362 Article Analysis 2 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 Article Analysis 2
The introduction for the Grand Canyon University HLT 362 Article Analysis 2 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 362 Article Analysis 2
After the introduction, move into the main part of the HLT 362 Article Analysis 2 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 Article Analysis 2
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 Article Analysis 2
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 Article Analysis 2
Effective analysis of research articles is essential to help nursing students attain understanding and utilize the findings to deliver quality care in practice. Articleanalysis is a vital part of enhancing analytical skills as well as using these attributes to improve performance. Through the analysis one ascertains the methodology and statistics used by the researchers. Again, through the analysis, one understands the underlying hypothesis, variables, and data collection approaches Singh, et al., 2021). The purpose of this paper is to analyze two quantitative articles, explore the methodologies that the researchers employ and determine the variables and possible hypotheses.
| Article Citation and Permalink (APA format) | Article 1 Bonsaksen, T., Chiu, V., Leung, J., Schoultz, M., Thygesen, H., Price, D., … & Geirdal, A. Ø. (2022, May). Students’ mental health, well-being, and loneliness during the COVID-19 pandemic: A cross-national study. Healthcare, 10(6): 996. DOI: 10.3390/healthcare10060996 | Article 2 Clarkson, P., Worsley, P. R., Schoonhoven, L., & Bader, D. L. (2019). An interprofessional approach to pressure ulcer prevention: a knowledge and attitudes evaluation. Journal of Multidisciplinary Healthcare, 377-386. DOI: https://doi.org/10.2147/JMDH.S195366 |
| Point | Description | Description |
| Broad Topic Area/Title | The broad topic area is mental health, wellbeing, and loneliness. The article’s title is; Students’ mental health, well-being, and loneliness during the COVID-19 pandemic: A cross-national study. | The broad topic area for the study is the significance of an inter-professional approach to preventing pressure ulcers. The title of the article is: An inter-professional approach to pressure ulcer prevention: a knowledge and attitudes evaluation |
| Define Hypotheses | The study does not state its hypothesis. The implied hypothesis would be. Null hypothesis (H0): There is no relationship between different mental health aspects like wellbeing, and loneliness and COVID-19. Alternative Hypothesis (H1): There is a relationship between COVID-19 and mental health aspects. | The study does not indicate its hypothesis. However implied hypothesis would entail: Null hypothesis(H0): An inter-professional approach cannot help health professionals to prevent pressure ulcers in healthcare settings. Alternative Hypothesis (H1): An inter-professional approach can help healthcare professionals prevent pressure ulcers in healthcare setting. |
| Define Independent and Dependent Variables and Types of Data for Variables | Independent variables: COVID-19 (continuous variable) Dependent variables: wellbeing, loneliness, mental health status, mental health outcomes (Continuous and categorical variables) | Independent variable: Knowledge levels and attitudes (Continuous discrete data) Dependent variable: inter-professional approach (Continuous discrete variable) |
| Population of Interest for the Study | The population of interest in this study entailed students from different countries pursuing different courses during the COVID-19 pandemic. The study also focused on the general population as a population of interest. | The population of interest in this study was healthcare providers who include nurses and others. The study aimed at increasing the use of an inter-professional approach in prevention of pressure ulcers among patients. |
| Sample | The sample comprised of 354 students and 3120 non-student participants drawn from the United States, Norway, the UK, and Australia. | The study asserts that 119 subjects returned the PUKAT questionnaire while another 151 individuals answered the APUP questionnaire. Another 144 participants answered demographic questions. In total, the sample size for the study was 414. |
| Sampling Method | The sampling method entailed simple randomization using social media platforms. The researchers used these platforms to recruit participants in the study. | Selective sampling method was used since the researchers recruited only healthcare workers across community health settings in the UK. |
| How Were Data Collected? | The researchers collected data for the study using online surveys that they had distributed during the investigation. | The researchers in the study used two questionnaires to collect data; online and in paper forms to explore knowledge and attitudes by nurses to prevention of pressure ulcers. |
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Conclusion
Article analysis is an essential part of understanding health statistics as it allows nursing students to determine the kind of statistics and data used in such studies. The analysis also allows one to understand the associated hypothesis and methods used in collecting data. As demonstrated, the analysis focused on two quantitative research articles on different subject matters with critical role in nursing and healthcare delivery. As such, the analysis shows that one can attain a better perspective of research articles through exploring their different components in a detailed manner.
Reference
Singh, M., Thirsk, L., Stahlke, S., Venkatesaperumal, R., LoBiondo-Wood, G., & Haber, J. (2021). Nursing research in Canada-E-
book: methods, critical appraisal, and utilization. Elsevier Health Sciences.
Sample Answer 2 for HLT 362 Article Analysis 2
Article Analysis 2
The analysis of research articles is essential for nurses to understand the methodologies and statistical components used to generate findings or evidence (Smith, 019). The analysis ensures that nurse researchers develop articles that offer critical evidence to those interested in their studies or use them in practice settings to improve care delivery and quality services (Zaccagnini et al., 2019). The purpose of this paper is to analyze two quantitative research articles.
| Article Citation and Permalink (APA format) | Article 1 Fidan, Ö., Takmak, S., Zeyrek, A. S., & Kartal, A. (2020). Patients with type 2 diabetes mellitus: Obstacles in coping. Journal of Nursing Research, 28(4), e105. DOI: 10.1097/jnr.0000000000000379 | Article 2 Gorfinkel, L. R., Snell, G., Long, D., Del Casal, M., Wu, J., Schonert-Reichl, K., … & Samji, H. (2023). Original quantitative Research-Access to mental health support, unmet need and preferences among adolescents during the first year of the COVID-19 pandemic. Health Promotion and Chronic Disease Prevention in Canada: Research, Policy and Practice, 43(4), 182. DOI: 10.24095/hpcdp.43.4.03 |
| Point | Description | Description |
| Broad Topic Area/Title | Patients With Type 2 Diabetes Mellitus: Obstacles in Coping | Original quantitative Research-Access to mental health support, unmet need and preferences among adolescents during the first year of the COVID-19 pandemic. |
| Define Hypotheses | The study does not state its hypothesis. However, an implied hypothesis would be: H0: Individuals with diabetes do not encounter daily obstacles in coping with the disease H1: Individuals suffering from type 2 diabetes mellitus encounter obstacles in coping with the condition. | The study does not state its hypothesis. The implied hypothesis would be: H0: There was no access to mental health support, unmet need and preferences among adolescents in the first year of the COVID-19 pandemic. H1: There was access to mental health support, unmet need and preferences among adolescents during the first year of the COVID-19 pandemic. |
| Define Independent and Dependent Variables and Types of Data for Variables | Independent Variable: Type 2 diabetes mellitus (continuous and discrete variable) Dependent Variable: health status and individual coping mechanism (continuous discrete variable) | Independent variable: support-seeking, unmet need and preferences (continuous and categorical variables) Dependent variable: Effects of COVID-19 pandemic (discontinuous and categorical variable) |
| Population of Interest for the Study | The population of interest for the study was individuals suffering from type 2 diabetes mellitus who encounter obstacles in their daily living activities | The population of interest for the study comprised adolescents during the COVID-19 pandemic in Canada. |
| Sample | Patients with type 2 diabetes mellitus hospitalized in the endocrinology departments of university hospital and a state hospital in Turkey | The sample comprised 1928 adolescents across British Columbia, Canada. |
| Sampling Method | Simple purposeful as all patients hospitalized in the two facilities were considered as participants in the study. | Random sampling based on the selected population or sample size. |
| How Were Data Collected? | The researchers used a demographic and clinical characteristics datasheet, DOQ, and hospital anxiety and depression scale to collect data from the patients. | The researchers collected data using the Youth Development Instrument (YDI) which is a school-administered survey of the targeted adolescents. |
Conclusion
Research methodologies and data from research articles are essential to understanding different health situations and scenarios. The analysis of the two articles on different health conditions demonstrates the increased role of statistics in healthcare and the need for providers to integrate these aspects in their practice settings. As such, the analysis is categorical that researchers advance different aspects on diseases and other issues affecting health care among individuals and health populations through effective research.
References
Smith, M. C. (2019). Nursing theories and nursing practice. FA Davis.
Zaccagnini, M., & Pechacek, J. M. (2019). The doctor of nursing practice essentials: A new model for advanced practice
nursing. Jones & Bartlett Learning.
HLT 362 Application of Statistics in Healthcare Sample Answer
Application of Statistics in Healthcare
The application of statistics is a critical in every organizational processes. Currently, most firms relies on the data to enhance the operational processes and improve customer relationships. With the emergence of technology, data has a become one of the essential component in the decision-making processes. They in business, analyzed data can be used to show trends in the marketing processes, a scenario that may enhance sale of goods and services. Healthcare system employs a lot of statistics to improve research aimed at establishing effective treatment and medical processes (Ekin, 2019). Historically, statistics have been used in the healthcare system to improve research processes as well as treatment processes. There are different personalities such as Florence Nightingale who incorporated a lot of statistical in the healthcare system to improve care and to increase efficiency in medical delivery and general care. By identifying statistical trails and trends, healthcare workers are able to monitor local conditions and make comparisons with the national, state and international trends. Health statistics often provide empirical data to aid in allocation of resources to both the private and public facilities in an effort to improve care for the patients. The purpose of the paper is to discuss the application of statistics in the healthcare system.
Application of Statistics
Statistics is important when it comes to the development of models that can be used to predict the future trends including patient flow and the best medication and treatment strategies. In the process of operation, healthcare workers often engages in the collection of data from the time a patient is admitted into the hospital to the time when they are discharged. From the point of admission, biodata is taken to record the identity of the patients and their conditions. Also, in the process of treatment, all the data including time are recorded for future references. All the above processes requires statistical knowledge, which most healthcare workers possess. The statistical concept are mostly used in the analysis of these data to reveal trends and what needs to be done to improve areas of weaknesses. Therefore, the use of statistics is essential in determining the processes that are required to improve medication and treatment processes. Whether considering disease incidences, cure rates, accidents, hospital and physician fees, mortality rates, malpractice, treatments, drugs or medical devices, the application of statistical concepts is important (Kros & Rosenthal, 2016).
Internationally, drug testing is a critical part of the healthcare processes that ensures the establishment of an effective vaccine or drugs to counter certain diseases. The processes of drug test often require the use of statistics to study the effects of placebo and the real drugs. The study objectives in these research requires models based on the available data from the participants. Application of statistics in the healthcare system is essential as it aids in providing guidance to the decision makers and the general healthcare professionals (Pett, 2015). The healthcare institutions to gauge performance as well as the results of the medical performance commonly apply statistical analysis. In most cases, government and human service agencies apply statistical information to define the well-being as well as the overall health of the population. Pharmaceutical companies and hospitals usually engages in the analysis of the patients in order to identify risks linked to specific disorders, measure the effectiveness of different treatments and assess the symptoms. Healthcare organizations struggle every single day to effectively deliver quality services and medical products to the patients. Application of statistics therefore enable companies to gauge successes and failures in their performance (Kros & Rosenthal, 2016). In the hospitals and other healthcare settings, managers in charge of quality improvements often develop standards of benchmarks and service excellence to determine the future results. Reliable statistical information, i.e., statistics obtained from the analysis of raw data can be used to determine the viability as well as the overall growth in a given medical facility. These data can also be used to plot diminish risks associated with the trade-offs and create innovative approaches in the treatment procedures. The data obtained from the patients during their stay in the hospital can be used in clinical trials for the new technologies in treatments in order to determine the benefits alongside the risks.
With the emergence of the diseases, scientist are always looking for the best treatment and medication approaches. With statistics, mathematicians, computer scientists and medical professionals often analyze the data to identify the best treatment approaches that needs to be undertaken in case there is a diseases outbreak (Kros & Rosenthal, 2016). The use of statistics is also common in the epidemiological research as it helps in determining the study methods to take against a given diseases. Also, the emergence of diseases often lead to the overcrowding in the medical facilities; therefore, with the statistics, the data taken can be used to enhance quality, health promotion, safety and leadership. In general, the use of statistics in healthcare system is meant to enhance quality, safety, and general effective outcome within the healthcare settings.
Utilization of Statistics
I am a community registered nurse who majors in the clinical processes within the healthcare system. With the emergence of evidenced-based practices. I will use the statistical knowledge to develop models that can be used to enhance evidenced-based practices. For instance. I will use statistics to determine correct nurse to patient ratio and to enhance diagnostics processes especially when there is increased number of patients in the hospital as a result of disease outbreak. While operating in the hospital, I will obtain data through recording patient’s information including biodata, medical history, disease condition, type of care and the complications or the diseases that each patient is suffering from.
Conclusion
Statistics is used in day to day activities in the healthcare settings to manage the number of patients, determine the most treatment approach to given and to determine the best medication processes to give to the patients. Also, through the formulation of operational models, statistics will be used to enhance decision-making processes. Such a situation can help in promoting public health and well-being of the people in different communities.
References
Ekin, T. (2019). Statistics and health care fraud: How to save billions. Boca Raton, FL: CRC Press.
Kros, J. F., & Rosenthal, D. A. (2016). Statistics for health care management and administration: Working with excel. New York, NY: John Wiley & Sons.
Pett, M. A. (2015). Nonparametric statistics for health care research: Statistics for small samples and unusual distributions. New York, NY: Sage Publications.