Application of Statistics in Health Care
Application of Statistics in Health Care
Statistical application and the interpretation of data is important in health care. Review the statistical concepts covered in this topic. In a 750-1,000 word paper, discuss the significance of statistical application in health care. Include the following:
- Describe the application of statistics in health care. Specifically discuss its significance to quality, safety, health promotion, and leadership.
- Consider your organization or specialty area and how you utilize statistical knowledge. Discuss how you obtain statistical data, how statistical knowledge is used in day-to-day operations and how you apply it or use it in decision making.
Three peer-reviewed, scholarly or professional references are required.
Prepare this assignment according to the guidelines found in the APA Style Guide.
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Topic: Article Analysis 1
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
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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.
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. |
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
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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) |