Papers on "Deep Vein Thrombosis" and similar term paper topics
Paper #102376 ::
Deep Vein Thrombosis
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This paper analyzes three nursing research articles, using quantitative, qualitative, and systematic designs, seeking the most appropriate nursing intervention to prevent deep vein thrombosis (DVT).
Written in 2008; 970 words; 3 sources; APA;
$ 34.95
Paper Summary:
This paper explains that Hayes et al. as presented in 'Graduated Compression Stockings: Updating Practice, Improving Compliance' in the 2002 "MedSurg Nursing" used qualitative research based on interviews; however, there was no report of the literature review, research design or description of the participants. The author points out that the article by Sprigg and Gray 'Compression Stockings and the Prevention of Symptomatic Venous Thromboembolism' from a 2004 "Evidence Based Practice Information Sheets for Health Professionals" described a nested observational design but has problems with validity and reliability and therefore cannot be generalizable to all patients. The paper concludes that the best article is the systematic review by the American Nurses Association 'Graduated Compression Stockings: Prevention of Postoperative Venous Thromboembolism is Crucial' in a 2006 "American Journal of Nursing" because the suggestions and recommendations are based directly on the research and are usable.
Table of Contents:
Introduction
Qualitative
Quantitative
Systematic Review
Ratings
Conclusion
From the Paper:
"Sprigg and Gray's (2004) study is strong because of its use of confounders such as medications and the effect of other illnesses. The committee was blinded to what patients were wearing stockings. Data were collected three times and consisted of assessing the patient for either adverse or beneficial outcomes. There were no withdrawals but two percent were excluded. The rating would be S (strong). Hayes et al. (2002) supply very little information. The only information is on data collection which was done through interviews."
Tags:
criteria patients treatment meta-analysis recommendations
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