Importance of Statistics Health Sciences

Importance of Statistics Health Sciences

Importance of Statistics Health Sciences

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.

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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.

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

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

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.

     

 

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