HLT 362 Article Analysis 1

Sample Answer for HLT 362 Article Analysis 1 Included After Question

The interpretation of research in health care is essential to decision making. By understanding research, health care providers can identify risk factors, trends, outcomes for treatment, health care costs and best practices. To be effective in evaluating and interpreting research, the reader must first understand how to interpret the findings. You will practice article analysis in Topics 2, 3, and 5.

For this assignment:

Search the GCU Library and find three different health care articles that use quantitative research. Do not use articles that appear in the Topic Materials or textbook. Complete an article analysis for each using the “Article Analysis 1” template. HLT 362 Article Analysis 1

Refer to the “Patient Preference and Satisfaction in Hospital-at-Home and Usual Hospital Care for COPD Exacerbations: Results of a Randomised Controlled Trial,” in conjunction with the “Article

Analysis Example 1,” for an example of an article analysis.

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While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center. 

A Sample Answer For the Assignment: HLT 362 Article Analysis 1

Title: HLT 362 Article Analysis 1

When analyzing quantitative articles, it is important to consider the methodologies and statistics that have been used. The methodologies used in a study can influence the results, so it is important to be aware of them. Additionally, the statistics that are used can also be misleading. It is therefore essential to examine both the methodologies and the statistics in order to get a clear understanding of the article’s findings. The purpose of this assignment is to analyze three quantitative articles by identifying the variables, methodologies, and the statistical approaches that have been used.

Article Analysis 1

Conclusion

When it comes to quantitative article analysis, it’s important to consider the methodologies and statistics that have been used. This is because these factors can impact the results of the analysis and how you interpret them. For example, if a study uses a method that is not as reliable as another method, then you would want to be cautious about relying too heavily on its results.

Likewise, if a study has a small sample size or uses a selective group of participants, then you would want to take its findings with a grain of salt. In addition to considering the methodology and statistics used in a study, it’s also important to look at the author’s qualifications. Quantitative methodologies are essential when it comes to obtaining valid results from experiments, surveys and other research. The three articles which this analysis considers each made use of quantitative methods in order to achieve their outcomes. These methodologies are key to the effective application of statistics and data in order to form safe and accurate conclusions. Furthermore, quantitative methodologies serve as crucial tools in evaluating hypotheses, allowing researchers to draw reliable scientific inferences that hold up under scrutiny. Without quantitative methods, any outcomes that result from research would be impossible to verify or refute confid

References

Kelly, L. A., Gee, P. M., & Butler, R. J. (2021). Impact of nurse burnout on organizational and position turnover. Nursing Outlook, 69(1), 96-102. https://www.sciencedirect.com/science/article/pii/S0029655420300877

Lee, E., & Kim, Y. (2019). Effect of university students’ sedentary behavior on stress, anxiety, and depression. Perspectives In Psychiatric Care, 55(2), 164. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7818186/

Liao, Y. Y., Chu, C., Wang, Y., Zheng, W. L., Ma, Q., Hu, J. W., … & Mu, J. (2020). Sex differences in impact of long-term burden and trends of body mass index and blood pressure from childhood to adulthood on arterial stiffness in adults: a 30-year cohort study. Atherosclerosis, 313, 118-125. https://doi.org/10.1016/j.atherosclerosis.2020.10.003

HLT 362 Article Analysis 1

The interpretation of research in health care is essential to decision making. By understanding research, health care providers can identify risk factors, trends, outcomes for treatment, health care costs and best practices. To be effective in evaluating and interpreting research, the reader must first understand how to interpret the findings. You will practice article analysis in Topics 2, 3, and 5.

For this assignment:

Search the GCU Library and find three different health care articles that use quantitative research. Do not use articles that appear in the Topic Materials or textbook. Complete an article analysis for each using the “Article Analysis 1” template. HLT 362 Article Analysis 1

Refer to the “Patient Preference and Satisfaction in Hospital-at-Home and Usual Hospital Care for COPD Exacerbations: Results of a Randomised Controlled Trial,” in conjunction with the “Article

Analysis Example 1,” for an example of an article analysis.

While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center. HLT 362 Article Analysis 1

ORDER NOW FOR AN ORIGINAL PAPER HLT 362 Article Analysis 1

A Sample Answer 2 For the Assignment: HLT 362 Article Analysis 1

Title: HLT 362 Article Analysis 1

Article Analysis 1

References

Arsenault-Lapierre, G., Henein, M., Gaid, D., Le Berre, M., Gore, G., & Vedel, I. (2021). Hospital-at-home interventions vs in-hospital stay for patients with chronic disease who present to the emergency department: a systematic review and meta-analysis. JAMA network open, 4(6), e2111568-e2111568. doi:10.1001/jamanetworkopen.2021.11568

Lai, Y. F., Lim, Y. W., Kuan, W. S., Goh, J., Soong, J. T. Y., Shorey, S., & Ko, S. Q. (2021). Asian Attitudes and Perceptions Toward Hospital-At-Home: A Cross-Sectional Study. Frontiers in public health, 1013. https://doi.org/10.3389/fpubh.2021.704465

Le, N., Rahman, T., Kapralik, J. L., Ibrahim, Q., Lear, S. A., & Van Spall, H. G. (2022). The Hospital at Home Model vs Routine Hospitalization for Acute Heart Failure: A Survey of Patients’ Preferences. CJC open, 4(3), 263-270. https://doi.org/10.1016/j.cjco.2021.10.005

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. Refer to the LopesWrite Technical Support articles for assistance.

Article Analysis: Example 1

Article Citation Utens, C. M. A., Goossens, L. M. A., van Schayck, O. C. P., Rutten-van Mölken, M. P. M. H., van Litsenburg, W., Janssen, A., … Smeenk, F. W. J. M. (2013). Patient preference and satisfaction in hospital-at-home and usual hospital care for COPD exacerbations: Results of a randomised controlled trial. International Journal of Nursing Studies, 50, 1537–1549. doi.org/10.1016/j.ijnurstu.2013.03.006
Link: https://www.ncbi.nlm.nih.gov/pubmed/23582671
(Include permalink for articles from GCU Library.) HLT 362 Article Analysis 1

Category Description
Broad Topic Area/Title The differences in preference and satisfaction based upon hospital care location for COPD exacerbations
Variables and Type of Data for the Variables
Treatment Location-categorical -“home treatment” and “hospital treatment”
Satisfaction – Ordinal Scale (1-5)
Preference – categorical “home treatment” and “hospital treatment”

Population of Interest for the Study COPD exacerbation patients from five hospitals and three home care organizations
Sample

139 patients
69 from the usual hospital care group
70 from the early assisted discharge care group
Sampling Method A randomized sampling method was used to select the patients who met the criteria for the study (p. 1540)
Descriptive Statistics (mean, median, mode; standard deviation)
Identify examples of descriptive statistics in the article. Example descriptive statistics:
Usual hospital Age:
Mean: 67.8 Standard deviation: 11.30

Early assisted discharge Age:
Mean: 68.31 Standard deviation: 10.34 (p. 1540)

Inferential Statistics
Identify examples of inferential statistics in the article. Example of inferential statistics:
Overall satisfaction score: Tested difference between HC and EAD p-value .863 (p. 1543)

HLT 362V Topic 1 Discussion 1

Discuss the historical application of statistics in the field of health care. Describe an example, other than Florence Nightingale’s contributions, where statistical application has greatly influenced or changed health care operations or practice.

Article Title :The Application Effect of Evidence-Based Care in Gastrointestinal Surgical Pipeline Nursing.

Permalink : https://lopes.idm.oclc.org/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=158239230&site=eds-live&scope=site&custid=s8333196&groupid=main&profile=eds1

A Sample Answer 3 For the Assignment: HLT 362 Article Analysis 1

Title: HLT 362 Article Analysis 1

This article examines the effectiveness of evidence-based care in gastrointestinal surgical pipeline nursing. The study was conducted in China and utilized a cross-sectional survey to examine the knowledge and application of evidence-based care among nurses. The survey was conducted to assess the nurses’ knowledge and application of evidence-based care and its effect on nursing practice.

The sample for this study was selected using a purposive sampling strategy. The sample size was determined based on the research objectives and the sample size was determined to be 400 nurses. The nurses were selected from six hospitals in three Chinese provinces. The hospitals were selected based on their high-quality medical services, and the nurses were selected from the hospitals that met the inclusion criteria. The nurses had to have at least three years of experience in gastrointestinal surgical pipeline nursing.

The purposive sampling method used in this study was effective in selecting the sample population. The sample size was determined based on the research objectives and the sample selection was based on the inclusion criteria. The sample was also selected from hospitals that provided high-quality medical services. The sample was also representative of the population, as it included nurses from three different provinces in China. This ensured that the sample was diverse and representative of the population.

The purposive sampling strategy was also effective in selecting the sample as it allowed the researchers to select participants who met the inclusion criteria (Chen et al., 2022). This ensured that the sample was representative of the population and that the results of the study were reliable. Additionally, the sample selection process was based on the research objectives, which ensured that the sample was relevant to the study.

Overall, the purposive sampling strategy used in this study was effective in selecting the sample population. The sample was representative of the population and was selected based on the research objectives and inclusion criteria. This ensured that the results of the study were reliable and valid (Chen et al., 2022).

References

Chen, X., Song, Q., Wu, J., Fang, Z., & Sui, G. (2022). The Application Effect of Evidence-Based Care in Gastrointestinal Surgical Pipeline Nursing. BioMed Research International, 1–9. https://doi-org.lopes.idm.oclc.org/10.1155/2022/5027024

HLT362V Topic 1 Discussion 2

Discuss why it is important for a person working in health care to understand statistical concepts.  Provide an example of how statistical data is used in your organization or specialty area today and what you are expected to do with this information as a practitioner.

Healthcare statistics are used to keep patients safe and improve healthcare. Information on health statistics is used to improve people’s lives, provide services, and promote their well-being. The purpose of statistics in healthcare is to conduct research, improve quality, decrease inequalities, manage inventory, manage costs, use resources, length of stay, satisfaction of patients, run clinical trials, measure change, analyze laboratory data, and educate.

By analyzing data, statistics can be used to identify patient care trends, and create and use evidence-based practices. Statistics are used in several ways. Information about health statistics is used to develop, assess, and evaluate health policies, assessments, and evaluations. The use of statistics in healthcare dates back to the 19th century. British troops in Crimea were less likely to die because of Florence Nightingale’s statistical approach. As an innovator in the collection, tabulation, interpretation, and graphical display of descriptive statistics, she laid the groundwork for the present-day statistical quality measurement (Sheingold & Hahn, 2014). A similar analysis was used by Clara Barton during the Civil War. In order to create penicillin, Louis Pasteur applied statistics to microbes and the germ theory. This evidence led to the wide-scale adoption led to the development of pasteurization

Fifty million people died in the 1918 influenza outbreak in the U.S. The quality tools Dr. Blue used during the Influenza Pandemic included mandatory medical exams for immigrants, weekly newsletters that contained the latest outbreaks, and influenza research conducted at the Hygienic Laboratory (Sheingold & Hahn, 2014). Data from the 1918 influenza pandemic can inform how we should respond to a similar widespread outbreak of biological disease and provide information about pregnant women’s long-term health effects.

Reference:

Sheingold, B. H., Hahn, J. A. (2014). The history of healthcare quality: The first 100 years 1860-1960. International Journal of Africa Nursing Sciences. Vol. 1.Pages 18 – 22. : https://doi.org/10.1016/j.ijans.2014.05.002

Scott, I., & Mazhindu, D. (2014). Statistics for healthcare professionals: An introduction. Sage.

HLT 362V Topic 2 Discussion 1

Select a research article, other than the articles from your assignments, from the GCU library. Provide an overview of the study and describe the strategy that was used to select the sample from the population. Evaluate the effectiveness of the sampling method selected. Provide support for your answer. Include the article title and permalink in your post.

The 2022 study by Moss et al. in the issue of the Baylor University Medical Center Proceedings is aimed at comparing the effects of the neuromuscular blockade reversals, sugammadex and neostigmine, on perioperative efficiency. Because of the rapid and reliable recoveries produced by sugammadex, the authors set out to discern if improved perioperative results would be achieved, and therefore offset the higher medication cost ($117 per vial of sugammadex versus $21 per vial for neostigmine). The principal factors of perioperative efficiency were measured by markers including total time in the operating room and postoperative pulmonary failure. The research was conducted as a retrospective observational analysis. The sample was selected from eligible patients who received general anesthesia at the University of Alabama at Birmingham with the use of intermediate-acting nondepolarizing neuromuscular blocking agents, rocuronium or vecuronium.

The patients were then divided into two groups based on whether they received neostigmine or sugammadex. The sample population was eventually categorized into a “matched cohort” of 8120 patients (4060 of whom received neostigmine and 4060 whom received sugammadex). This cohort was matched using covariates of age, sex, weight, ASA classification and surgical specialty. Ultimately, it was found that the use of sugammadex correlated with shorter surgical times, leading to shorter OR times by 12.53 minutes and reduced lengths of stay in the PACU. After approximating an average of $50/minute for OR time, it was determined that a reduction of 1.92 OR minutes would result in cost-effectiveness of sugammadex. Additionally, it can be assumed that even more cost savings are possible with reduced PACU length and decreases in common postoperative side effects like nausea, vomiting and pneumonia (Moss et al. 2022).

While the sampling methods seem to be thorough by matching the groups on surgical specialty, the author notes that it is possible for sugammadex to have been favored in the use of shorter procedures to improve turnover rates for busy schedules (Moss et al., 2022).

The article selected for this discussion is titled, ‘‘Hospital acquired Clostridium Difficile Infection (CDI) and risk factors for severity at a university hospital.’’ The authors of this article are Hüseyin Bilgin MD, Elvan Sayın MD, Hande Perk Gürün MD, Elif Tükenmez-Tigen MD, Nurver Ülger Toprak MD and Volkan Korten MD. This article was published in the American Journal of Infection Control in 2020 (Bilgin et al, 2020). The aim of the study was to investigate the incidence, clinical characteristics and factors associated with CDI in a tertiary care university hospital in Istanbul, Turkey (Bilgin et al, 2020).

 A cohort study was conducted between January 2012 and December 2016 at Marmara University Hospital. Cohort studies are a type of longitudinal study which uses an approach that follows research participants over a period (Barrett, 2019). Specifically, cohort studies recruit and follow participants who share a common characteristic, such as a particular occupation. During the period of follow-up, some of the cohort will be exposed to a specific risk factor or characteristic; by measuring outcomes over a period, it is then possible to explore the impact of this variable (e. g, identifying the link between hospitalization and CDI.) They  help researchers build an understanding of what factors increase or decrease the likelihood of developing disease. Cohort studies are an effective method of establishing cause and effect (Barrett, 2019). 

 The researchers recruited adult patients (≥18 years old) who had positive stool assays for C. difficile toxin A or B or toxigenic culture to the study. Potential predictors for severe CDI are age, sex, co-morbidities, previous hospitalization, surgical procedures, antimicrobial use, proton pump inhibitor use, cancer chemotherapy, and parenteral nutrition. Researchers collected information concerning the severity of the disea=se, treatment regimen, treatment response, disease recurrence, and 30-day mortality rate (Bilgin et al, 2020).

A total of 111 patients developed CDI during the study period. Eleven patients (9.9%) were diagnosed with community-acquired CDI and excluded from the study. The remaining 100 patients were diagnosed with HA-CDI, resulting in a 2012-2016 incidence rate of 1.19 per 10,000 patient-days (Bilgin et al, 2020).

This study had several limitations. First, it was a single-center study representing a small part of the patient population in Istanbul, Turkey (Bilgin et al, 2020). The researchers did not perform an active screening for CDI. Only patients with clinical indications were tested. Therefore, the results could be an underestimation of the true incidence of HA-CDI. Another limitation could be the small sample size of the study. Larger sample size could predict whether there are any other specific risk factors for severe CDI (Bilgin et al, 2020).

Title of the Article: Hospital acquired Clostridium difficile infection and risk factors for severity in a university hospital: A prospective study.

Permalink: Hospital acquired Clostridioides difficile infection and risk factors for s…: GCU Library Resources – All Subjects (oclc.org)

References

Barrett. (2019). What are cohort studies? Retrieved from https://ebn.bmj.com/content/22/4

Bilgin et al. (2020). Hospital acquired Clostridium difficile infection and risk factors. Retrieved from https://eds-p-ebscohost-com.lopes.idm.oclc.org/eds/detail/detail?vid=2&sid=b3948e61-bc0b-4855-931d-c2bc6ff9635

HLT362V Topic 2 Discussion 2

Using the research article selected for DQ 1, identify three key questions you will ask and answer when reading the research study and why these questions are important. When responding to peers, provide other questions and answers that could be considered in relation to the peers’ studies.

HLT362V Topic 3 Discussion 1

Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis. Discuss why this is important in your practice and with patient interactions.

HLT362V Topic 3 Discussion 2

Evaluate and provide examples of how hypothesis testing and confidence intervals are use together in health care research. Provide a workplace example that illustrates your ideas.

HLT362V Topic 4 Discussion 1

Provide an example of experimental, quasi-experimental, and nonexperimental research from the GCU Library and explain how each research type differs from the others. When replying to peers, evaluate the effectiveness of the research design of the study for two of the examples provided.

HLT362V Topic 4 Discussion 2

Describe the difference between research and quality improvement. Provide a workplace example where qualitative and quantitative research is …..and how it was use within your organization. When replying to peers, discuss how these research findings might be incorporated into another health care setting.

HLT362V Topic 5 Discussion 1

Describe how epidemiological data influences changes in health practices. Provide an example and explain what data would be necessary to make a change in practice.

HLT362V Topic 5 Discussion 2

Discuss ways your organization uses technology to gather patient and health care information, and how this information and data are use to direct patient care and outcomes.

Course Code         Class Code           Assignment Title  Total Points

HLT-362V              HLT-362V-OL191   Article Analysis 1 120.0

Criteria  Percentage           1: Unsatisfactory (0.00%)   2: Less Than Satisfactory (65.00%)              3: Satisfactory (75.00%)     4: Good (85.00%)  5: Excellent (100.00%)

Content 100.0%

Three Quantitative Articles              10.0%     Fewer than three articles are presented. None of the articles presented use quantitative research.        N/A        Three articles are presented. Of the articles presented, only two articles are based on quantitative research.              N/A        Three articles are presented. All three articles are based on quantitative research.

Article Citation and Permalinka 2    10.0%     Article citation and permalink are omitted. Article citation and permalink are presented. There are significant errors. Page numbers are not indicated to cite information, or the page numbers are incorrect.             Article citation and permalink are presented. Article citation is presented in APA format, but there are errors. Page numbers to cite information are missing, or incorrect, in some areas.             Article citation and permalink are presented. Article citation is presented in APA format. Page numbers are used to cite information. There are minor errors.             Article citation and permalink are presented. Article citation is accurately presented in APA format. Page numbers are accurate and used in all areas when citing information. HLT 362 Article Analysis 1

Broad Topic Area/Title      10.0%     Broad topic area and title are omitted.         Broad topic area and title are referenced but are incomplete.           Broad topic area and title are summarized. There are some minor inaccuracies.       Broad topic area and title are presented. There are some minor errors, but the content overall is accurate.              Broad topic area and title are fully presented and accurate.

Independent and Dependent Variables and Type of Data for Variables    10.0%              Variable types and data for variables are omitted.     Variable types and data for variables are presented. There are major inaccuracies or omissions.              Variable types and data for variables are presented. There are inaccuracies.              Variable types and data for variables are presented. Minor detail is needed for accuracy.             Variable types and data for variables are presented and accurate.

Population of Interest for the Study 10.0%     Population of interest for the study is omitted. Population of interest for the study is presented. There are major inaccuracies or omissions. Population of interest for the study is presented. There are inaccuracies.        Population of interest for the study is presented. Minor detail is needed for accuracy.         Population of interest for the study is presented and accurate.

Sample   10.0%     Sample is omitted.             Sample is presented. There are major inaccuracies or omissions. Sample is presented. There are inaccuracies.              Sample is presented. Minor detail is needed for accuracy.      Sample is presented and accurate.

Sampling Method 10.0%     Sampling method is omitted.           Sampling is presented. There are major inaccuracies or omissions.   Sampling is presented. There are inaccuracies.        Sampling is presented. Minor detail is needed for accuracy.              Sampling method is presented and accurate.

Descriptive Statistics (mean, median, mode; standard deviation) (Identify examples of descriptive statistics in the article.)              10.0%     Descriptive statistic examples from the article are omitted. There are major inaccuracies or omissions.            N/A              Descriptive statistic examples from the article are presented. There are some very minor inaccuracies or omissions.            N/A        Descriptive statistic examples from the article are presented and accurate.

Inferential Statistics (Identify examples of inferential statistics in the article.)   10.0%              Inferential statistic examples from the article are omitted. There are major inaccuracies or omissions. N/A        Inferential statistic examples from the article are presented. There are some very minor inaccuracies or omissions.          N/A              Inferential statistic examples from the article are presented and accurate.

Re: Topic 2 DQ 1

Quantitative article analysis is a means of understanding the characteristics of a sample population by studying the attributes of a representative sample. In order to understand the distribution of values within a population, you must first identify the mean, median and mode. The mean is found by adding all of the values in a set and then dividing that sum by the total number of values in the set. The median is found by arranging all of the values in numerical order and identifying the value that falls in the middle. The mode is simply the value or values that occur most frequently within a data set. The purpose of this assignment is to conduct article analysis for the three quantitative articles identified.  

Article Analysis 1