NURS 6003N – Part 6: Finalizing the Plan.
Step 1: Research Analysis
Complete the table below
| Topic of Interest: | Pharmacokinetics of blood thinners | |||
| Research Article: Include full citation in APA format, as well as link or search details (such as DOI) | Khoury, G. & Sheikh-Taha, M. (2014). Effect of age and sex on warfarin dosing. Clinical Pharmacology: Advances and Applications, 6, 103–106. https://doi.org/10.2147/CPAA.S66776 | |||
| Professional Practice Use:
One or more professional practice uses of the theories/concepts presented in the article |
The two professional uses the findings n this article can serve are:
i. Prevention of adverse effects of warfarin pharmacotherapy (suc as bleeding) caused by inappropriate dosing in the aged. ii. Understanding the importance of performing regular INR tests on patients who have been put on blood thinners such as warfarin. |
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| Research Analysis Matrix
Add more rows if necessary |
Strengths of the Research | Limitations of the Research | Relevancy to Topic of Interest | Notes |
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This was primary research producing primary data. |
Data was collected from only one outpatient center. This could have resulted in selection bias. | Age and sex indeed affect the pharmacokinetics (absorption, distribution, metabolism, and excretion or ADME) of blood thinners such as warfarin. | Medical error (such as inappropriate dosing) is the third leading cause of mortality in the United States os America, causing about 400,000 deaths every year (Makary & Daniel, 2016). | |
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Both authors are clinical pharmacology experts with vast experience. |
The sample size was quite small for reliability (n=96) | Dose titration of blood thinners with age is important to forestall adverse reactions such as bleeding. | The larger a samle size, the better it mirrors the behavior of the population under study. Statistical significance is better demonstrated by a larger sample size (Kalla, 2009). | |
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Strong nonparametric inferential data analysis techniques were used (student’s t-test, analysis of variance or ANOVA, and a Bonferroni post hoc test). |
Not all confounding variables could be controlled. Only smoking, alcohol usage, and taking medications that react with heparin were in the exclusion criteria. Others like treatment compliance and diet could not be controlled. | There is aslso a risk of suboptimal therapy in anticoagulation therapy is age and sex are not taken into account. | ||
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Information on genetic polymorphisms affecting coagulation was not considered. | |||
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Step 2: Summary of Analysis
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