Papers on "Digoxin Concentrations" and similar term paper topics

Paper #026786 :: Digoxin Concentrations
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A research proposal to compare and assess alternative methods for predicting digoxin concentrations.

Written in 2002; 1,361 words; 8 sources; APA; $ 45.95

Paper Summary:

This paper proposes a study to comparatively assess the relative effectiveness of three models for the prediction of digoxin concentration in subjects receiving digoxin under physician order. It looks at how various approaches to the prediction of digoxin concentration have been advanced over the years and how several of these approaches have developed relatively widespread acceptance. It shows how controversy has surrounded these for the reason that such predictions frequently are not as accurate as required for optimal benefits in clinical applications and how as a consequence of the unreliability of these procedures, patients frequently were placed at risk. It provides an introduction, objective and hypothesis and an analysis of the results.

From the Paper:

"Most earlier models for the prediction of digoxin concentration were based on an assumption of a steady-state condition. This assumption of a steady-state condition led to hypotheses concerning predicted and observed digoxin concentration based on a research question that asked, in effect: Are predicted and observed values different? An important methodological assumption in these earlier models that was incorporated into hypotheses was that, if predicted and observed digoxin concentration levels were not different, then they were the same. The prediction model developed by Williams, et al. dropped the assumption of a steady-state condition, which allowed the revision of the research question to one that the following: Are predicted and observed values the same?4 By asking if predicted and observed values are the same, outcomes of hypothesis testing need not be inferred on the basis of an assumption of a steady-state condition."

Tags: clinical applications patients hypothesis model

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