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
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.
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.
You are required to submit this assignment to LopesWrite. A link to the LopesWrite technical support articles is located in Class Resources if you need assistance.
Expert Answer and Explanation
Article Analysis 1
| 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) | Mean, standard deviation, frequency, and percentage form the different descriptive statistics used within the research article. | Means and standard deviations are the two main descriptive statistics used within the study. | Means and standard deviations are critically used within the research study. |
| Inferential Statistics | Some of the inferential statistics used within the study entail the following, t-test, and Pearson correlation coefficient | Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) models | Independent t-test and paired t-test are used within the article to help determine the results and inform the recommendation and discussions. |
References
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
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
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
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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
| Article Citation and Permalink (APA format) | Article 1 | Article 2 | Article 3 |
| Point | Description | Description | Description |
| Broad Topic Area/Title | |||
| Identify Independent and Dependent Variables and Type of Data for the Variables | |||
| Population of Interest for the Study | |||
| Sample | |||
| Sampling Method | |||
| Descriptive Statistics (Mean, Median, Mode; Standard Deviation)
Identify examples of descriptive statistics in the article. |
|||
| Inferential Statistics
Identify examples of inferential statistics in the article. |
Rubric Criteria
Three Quantitative Articles 12 points
Article Citation and Permalinka 2 12 points
Broad Topic Area/Title 12 points
Independent and Dependent Variables and Type of Data for Variables 12 points
Population of Interest for the Study 12 points
Sample 12 points
Sampling Method 12 points
Descriptive Statistics 12 points
Inferential Statistics (Identify examples of inferential statistics in the article.) 12 points
Mechanics of Writing 12 points
Total120 points
FAQs
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