Article Analysis 1 Assessment Description 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. Article Citation and Permalink (APA format) Article 1

 

Tan, C. H., Koo, A. C., Rahmat, H., Siew, W. F., Cheang, A. W. O., & Sharji, E. A. (2022). A quantitative study exploring the acceptance of the eHealth model for mental wellness among digital workers. F1000Research, 11, 111–111. https://doi.org/10.12688/f1000research.73482.2

Article 2

 

Moreno-Agostino, D., Woodhead, C., Ploubidis, G. B., & Das-Munshi, J. (2023). A quantitative approach to the intersectional study of mental health inequalities during the COVID-19 pandemic in UK young adults. Social Psychiatry and Psychiatric Epidemiology. https://doi.org/10.1007/s00127-023-02424-0

Article 3

 

Kim, H., Lee, K.-K., Ye Hoon Lee, Young Joo Park, Park, Y., Yu, Y., Park, J., & Noh, S.-H. (2023). The Effectiveness of a Mobile Phone–Based Physical Activity Program for Treating Depression, Stress, Psychological Well-Being, and Quality of Life Among Adults: Quantitative Study. Jmir Mhealth and Uhealth, 11, e46286–e46286. https://doi.org/10.2196/46286

Point Description Description Description Broad Topic Area/Title Exploring the acceptance of the eHealth model for mental wellness among digital workers Mental health inequalities during the COVID-19 pandemic in UK young adults Effectiveness of a mobile phone–based physical activity program for treating depression Identify Independent and Dependent Variables and Type of Data for the Variables Dependent variable: Acceptance of the eHealth model

 

Independent variables: Gender, workplace wellness, and other demographic factors

Dependent variable: Mental health, measured using the Kessler Psychological Distress Scale (K10)

 

Independent variables: Social identity/position variables, such as gender, ethnicity, socioeconomic status, and disability status

Dependent variables: Depression, stress, psychological well-being, and quality of life

 

Independent variable: Mobile phone–based physical activity program

Population of Interest for the Study The population interest of the study includes Digital workers from a Premier Digital Tech Institution (PDTI). The population interest of the study includes UK young adults within February/March 2021 (during the third UK nationwide lockdown). The population of interest within the study comprised of adults aged between 18 and 65 years with depression. The study offers an efficient way in which the study can be used to improve the outcomes and facilitate positive findings. Sample The sample from the study included 41 digital workers who were selected from Premier Digital Tech Institution (PDTI). 8,588 UK young adults, recruited from two British cohorts (born in 1990 and 2000–2002, respectively) 68 adults aged between 18 and 65 years with depression, randomly assigned to either the treatment group or the waitlist group Sampling Method The study comprised of a Survey targeted to digital workers. The sampling method is important to the attainment of the research outcomes and findings intended for the article. Not explicitly stated, but likely random sampling as a result of the data used within the study. The method signifies and important component that leads to the findings and results. The sampling method in this study comprises of a Randomized controlled trial (RCT) Descriptive Statistics (Mean, Median, Mode; Standard Deviation) M">

Article Analysis 1 Assessment Description 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.

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.)
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)

 

Article Analysis 1 Template

 

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