Feb 23, 2024 HLT 362 Article Analysis Template
HLT 362 Article Analysis Template
Article Analysis 2
Article Citationand Permalink
(APA format)
Article 1(Der Ananian, Winham, Thompson & Tisue, 2018).
Article 2(Carnethon et al., 2017).
Point
Description
Description
Broad Topic Area/Title
Heart-related diseases. The objective is to examine attitude, knowledge, and perceptions of African Americans regarding cardiovascular diseases.
Cardiovascular diseases (CVD) among African Americans. Here, the objective is to describe CVD health with an intention of pointing out unique considerations to manage and prevent disease.
Define Hypotheses
African Americans face a disproportionately increased risk of chronic conditions including CVD compared to other racial or ethnic groups.
The load of CVD is relatively higher among African Americans and characterizes the major cause of disparities in life expectancy compared whites.
Define Independent and Dependent Variables and Types of Data for Variables
The dependent variable was cardiovascular disease while independent variable was race/ethnicity.
The dependent variable was cardiovascular disease while independent variable was race/ethnicity.
Population of Interest for the Study
The study is focused on African Americans
The study is focused on African Americans
Sample
Focused group comprising of a sample size of 103 participants were used in the study (Der Ananian, Winham, Thompson & Tisue, 2018, P.2).
The study focused on African Americans as a community (Carnethon et al., 2017, P. 1).
Sampling Method
Only African Americans were eligible for study ranging from the ages of 25-60 years and living in Arizona at the recruitment time. Participants were reached through email listservs, snowball sampling, agencies serving African American community, flyers, and civic organizations. The study was organized in focused groups and a total of fourteen focused groups were used in the study (Der Ananian, Winham, Thompson & Tisue, 2018, P.2).
Sampling was conducted by looking for relevant information from PubMed and Medline libraries. Besides, online sources obtained from CDC were also used.
How Were Data Collected?
Data collection was conducted through series of questionnaires that were completed by participants at the focused group venue.
The primary data sources were obtained from the Centers for Disease Control and Prevention (CDC) online sources and PubMed/Medline libraries.
References
Carnethon, M. R., Pu, J., Howard, G., Albert, M. A., Anderson, C. A., Bertoni, A. G., & Yancy, C. W. (2017). Cardiovascular health in African Americans: a scientific statement from the American Heart Association. Circulation, 136(21), e393-e423.
Der Ananian, C., Winham, D., Thompson, S., & Tisue, M. (2018). Perceptions of heart-healthy behaviors among African American Adults: A mixed methods study. International journal of environmental research and public health, 15(11), 2433.
Struggling to Meet Your Deadline?
Get your assignment on HLT 362 Article Analysis Template done on time by medical experts. Don’t wait – ORDER NOW!
Meet my deadline
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.
HLT 362 Article Analysis Template: ORDER NOW FOR A PLAGIARISM FREE, GRAMMATICALLY EXCELLENT PAPER:
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.
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 Template
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. HLT 362 Article Analysis Template
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.2013.03.006Link: https://www.ncbi.nlm.nih.gov/pubmed/23582671
(Include permalink for articles from GCU Library.)
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 patients69 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)
Article Analysis 1
No of Criteria: 10 Achievement Levels: 5
Criteria
Achievement Levels
Description 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.
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.
Mechanics of Writing (includes spelling, punctuation, grammar, and language use)
10.0
Surface errors are pervasive enough that they impede communication of meaning. Inappropriate word choice or sentence construction is employed.
Frequent and repetitive mechanical errors distract the reader. Inconsistencies in language choice (register) or word choice are present. Sentence structure is correct but not varied.
Some mechanical errors or typos are present, but they are not overly distracting to the reader. Correct and varied sentence structure and audience-appropriate language are employed.
Prose is largely free of mechanical errors, although a few may be present. The writer uses a variety of effective sentence structures and figures of speech.
The writer is clearly in command of standard, written, academic English.
Total Percentage 100
Total Points Earned:
120.00
The null hypothesis in statistics states that there is no difference between groups or no relationship between variables. It is one of two mutually exclusive hypotheses about a population in a hypothesis test. When your sample contains sufficient evidence, you can reject the null and conclude that the effect is statistically significant. Statisticians often denote the null hypothesis as H0 or HA.
Null Hypothesis H0: No effect exists in the population.
Alternative Hypothesis HA: The effect exists in the population.
In every study or experiment, researchers assess an effect or relationship. This effect can be the effectiveness of a new drug, building material, or other intervention that has benefits. There is a benefit or connection that the researchers hope to identify. Unfortunately, no effect may exist. In statistics, we call this lack of an effect the null hypothesis. Researchers assume that this notion of no effect is correct until they have enough evidence to suggest otherwise, similar to how a trial presumes innocence.
Null Hypothesis Examples
Null hypotheses start as research questions that the investigator rephrases as a statement indicating there is no effect or relationship.
Research QuestionNull HypothesisDoes the vaccine prevent infections?The vaccine does not affect the infection rate. Does the new additive increase product strength?The additive does not affect mean product strength. Does the exercise intervention increase bone mineral density?The intervention does not affect bone mineral density. As screen time increases, does test performance decrease?There is no relationship between screen time and test performance.
When to Reject the Null Hypothesis
So, you want to reject the null hypothesis, but how and when can you do that? To start, you’ll need to perform a statistical test on your data. The following is an overview of performing a study that uses a hypothesis test.
The first step is to devise a research question and the appropriate null hypothesis. After that, the investigators need to formulate an experimental design and data collection procedures that will allow them to gather data that can answer the research question. Then they collect the data. For more information about designing a scientific study that uses statistics.
Order a similar assignment, and have writers from our team of experts write it for you, guaranteeing you an A
