Safety in numbers 1: Essential numerical and scientific principles underpinning medication dose calculation

2013 ◽  
Vol 13 (2) ◽  
pp. e11-e22 ◽  
Author(s):  
Simon Young ◽  
Keith W. Weeks ◽  
B. Meriel Hutton
2000 ◽  
Vol 7 (11) ◽  
pp. 1311-1316 ◽  
Author(s):  
Lewis S. Nelson ◽  
Peter E. Gordon ◽  
Marc D. Simmons ◽  
William L. Goldberg ◽  
Mary Ann Howland ◽  
...  

2019 ◽  
Vol 9 (8) ◽  
pp. 80
Author(s):  
Kelechi Osahor ◽  
Kirsten Woodend ◽  
Jane Mackie

The objectives of this study were twofold: (1) To determine the predictors of performance on a medication dose calculation test in first year baccalaureate nursing students. The variables studied were: level of math anxiety; math personality; arithmetic ability; program of study; age; and the number of strategies used to prepare for a medication dose calculation test. (2) To determine the factors that affect math anxiety. The variables studied were: arithmetic ability, program of study, math personality, the number of test preparation strategies used and age. Participants consisted of a convenience sample (n = 163) from the first year of a Canadian baccalaureate nursing program. Participants completed a mathematics test, which served as a baseline measure of arithmetic ability. They also completed a series of online questionnaires on math anxiety and math personality, age and program of study (compressed program vs. collaborative program).  Participants then completed a medication dose calculation test after which they were asked how many different strategies that they had used in preparation for the test. Performance on the medication dose calculation test was regressed on arithmetic ability, mathematics anxiety, program of study, mathematics personality, the number of test preparation strategies and age. Math anxiety was regressed on pretest score, program of study, math personality, the number of test preparation strategies used and age. The variables found to predict performance on the medication dose calculation test were anxiety and program of study. Of the predictors investigated, only the “Inchworm” math personality and number of test preparation strategies used by students significantly predicted anxiety. Strategies to improve nursing students’ ability to perform dosage calculations should incorporate anxiety-reducing tactics as anxiety was found to be a key predictor of performance on the medication dose calculation test. These strategies should focus on supporting students who possess an “inchworm” math personality.


2019 ◽  
Author(s):  
K. Kirkby ◽  
A. Pozzi ◽  
J. Tomlinson ◽  
L. Alvarez ◽  
S.A. Foster

1991 ◽  
Vol 18 (3) ◽  
pp. 333-362 ◽  
Author(s):  
MADELEINE LY-TIO-FANE

SUMMARY The recent extensive literature on exploration and the resulting scientific advances has failed to highlight the contribution of Austrian enterprise to the study of natural history. The leading role of Joseph II among the neutral powers which assumed the carrying trade of the belligerents during the American War of Independence, furthered the development of collections for the Schönbrunn Park and Gardens which had been set up on scientific principles by his parents. On the conclusion of peace, Joseph entrusted to Professor Maerter a world-encompassing mission in the course of which the Chief Gardener Franz Boos and his assistant Georg Scholl travelled to South Africa to collect plants and animals. Boos pursued the mission to Isle de France and Bourbon (Mauritius and Reunion), conveyed by the then unknown Nicolas Baudin. He worked at the Jardin du Roi, Pamplemousses, with Nicolas Cere, or at Palma with Joseph Francois Charpentier de Cossigny. The linkage of Austrian and French horticultural expertise created a situation fraught with opportunities which were to lead Baudin to the forefront of exploration and scientific research as the century closed in the upheaval of the Revolutionary Wars.


2020 ◽  
Vol 16 (5) ◽  
pp. 860-884
Author(s):  
V.G. Kogdenko ◽  
A.A. Sanzharov

Subject. The article deals with the analysis of suppliers in the public procurement system based on reasonable prequalification parameters. Objectives. The aim is to test the hypothesis about strong reputation characteristics of the winners in the public procurement system and develop a methodology for assessing the reputation of suppliers for prequalification purposes. Methods. We employ general scientific principles and methods of research, like abstraction, generalization of approaches used by domestic and foreign authors for prequalification and assessment of reputation of public procurement participants. Results. To test the hypothesis, we calculated four groups of indicators on corporate, financial, market, and social components of reputation. The methodology was tested on the data obtained from SPARK-Interfax and SPARK-Marketing information resources. Conclusions. The study revealed that not all reputational characteristics of public procurement winners can be regarded as high level. In terms of the corporate component, it is the low level of share capital, indicating the mistrust on the part of owners and their reluctance to invest in the business, and the low percentage of non-current assets. In terms of the market component, it is a low sales growth rate, as well as low return on sales. As to the financial component, it is a low capitalization of winners, low share of long-term debt capital and low credit limit. With respect to the social component, it is a below-average tax burden.


2017 ◽  
Vol 1 (3) ◽  
pp. 54
Author(s):  
BOUKELLOUZ Wafa ◽  
MOUSSAOUI Abdelouahab

Background: Since the last decades, research have been oriented towards an MRI-alone radiation treatment planning (RTP), where MRI is used as the primary modality for imaging, delineation and dose calculation by assigning to it the needed electron density (ED) information. The idea is to create a computed tomography (CT) image or so-called pseudo-CT from MRI data. In this paper, we review and classify methods for creating pseudo-CT images from MRI data. Each class of methods is explained and a group of works in the literature is presented in detail with statistical performance. We discuss the advantages, drawbacks and limitations of each class of methods. Methods: We classified most recent works in deriving a pseudo-CT from MR images into four classes: segmentation-based, intensity-based, atlas-based and hybrid methods. We based the classification on the general technique applied in the approach. Results: Most of research focused on the brain and the pelvis regions. The mean absolute error (MAE) ranged from 80 HU to 137 HU and from 36.4 HU to 74 HU for the brain and pelvis, respectively. In addition, an interest in the Dixon MR sequence is increasing since it has the advantage of producing multiple contrast images with a single acquisition. Conclusion: Radiation therapy field is emerging towards the generalization of MRI-only RT thanks to the advances in techniques for generation of pseudo-CT images. However, a benchmark is needed to set in common performance metrics to assess the quality of the generated pseudo-CT and judge on the efficiency of a certain method.


Sign in / Sign up

Export Citation Format

Share Document