Assignment: Satisfaction in Hospital-at-Home

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.

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.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

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Article Analysis 1

Article Citation and Permalink (APA format)	Article 1 Garí-Llanes, M., García-Nóbrega, Y., Chávez-González, E., González-Rodríguez, E., García-Sáez, J., & Llanes-Camacho, M. D. C. (2019). Biochemical markers and hypertension in children. MEDICC review, 21, 10-15. Link: https://lopes.idm.oclc.org/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=edo&AN=139234963&site=eds-live&scope=site&custid=s8333196&groupid=main&profile=eds1 x Citation Title: Title: Assignment: Satisfaction in Hospital-at-Home	Article 2 Thompson, K.L, & Wanqing Zhang. (2020). Using Mixed Methods Research to Better Understand Pediatric Feeding Disorder. Perspective of the ASHA Special interest Groups, 5(6), 1623 Link: https://lopes.idm.oclc.org/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=edb&AN=147663110&site=eds-live&scope=site	Article 3
Point	Description	Description	Description
Broad Topic Area/Title	Confirm an association between biochemical risk markers of cardiovascular disease and hypertension in children aged 8 to 11 years.	Using Mixed Methods Research to Better Understand Pediatric Feeding Disorder.
Identify Independent and Dependent Variables and Type of Data for the Variables	The following variables will be considered, these are the age, sex of individual, height, systolic, and diastolic blood pressure, cholesterol level, triglycerides level, lipoproteins and Apo lipoproteins in the body respectively. The children were reportedly classified as being either normotensive, with pre hypertensive or hypertensive, as applicable based on the assessment of blood pressure, based on both readings and the percentiles for the age, sex and height, of the individuals.
Population of Interest for the Study	The study is based on children between the ages of 8-11, selected from different background, and different school in a city known as Santa Clara in central Cuba
Sample	373 children
Sampling Method	Cross-sectional study of three primary schools was done
Descriptive Statistics (Mean, Median, Mode; Standard Deviation) Identify examples of descriptive statistics in the article.	Example descriptive statistics: Descriptive statistics were calculated for quantitative variables. A bi variate analysis, tests of independence for qualitative variables was conducted, and a mean comparison for quantitative variables (ANOVA and its nonparametric alternative, the Kruskal Wallis test) were also performed respectively. The Fisher’s F-test which is a test that is used in statistics, and its associated probability, which is known as the p value were employed. A number of the children were normotensive while a percentage of them in total of 37.3% were both hypertensive and pre hypertensive. Example of hypertensive, and pre hypertensive children in percentile is listed below as: Percentile: 5.1% and 32.2%
Inferential Statistics Identify examples of inferential statistics in the article.	Example of inferential statistics: The inferential statistics used in the article compared the values, and levels of cholesterol, this is required by the body to make vitamins, and also build up cells, and that of triglycerides which is a fat like or lipid that is found in the blood, both were significantly higher in hypertensive children, in comparison to normotensive children (p = 0.028 and p = 0.047, respectively)