• Journal of Korean Academy of Nursing
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• v.42 no.5
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• pp.689-698
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• 2012

Purpose: This study was done to develop and evaluate a drug dosage calculation training program using cognitive loading theory based on a smartphone application. Calculation ability, dosage calculation related self-efficacy and anxiety were measured. Methods: A nonequivalent control group design was used. Smartphone application and a handout for self-study were developed and administered to the experimental group and only a handout was provided for control group. Intervention period was 4 weeks. Data were analyzed using descriptive analysis, ${\chi}^2$-test, t-test, and ANCOVA with the SPSS 18.0. Results: The experimental group showed more 'self-efficacy for drug dosage calculation' than the control group (t=3.82, p<.001). Experimental group students had higher ability to perform drug dosage calculations than control group students (t=3.98, p<.001), with regard to 'metric conversion' (t=2.25, p =.027), 'table dosage calculation' (t=2.20, p =.031) and 'drop rate calculation' (t=4.60, p<.001). There was no difference in improvement in 'anxiety for drug dosage calculation'. Mean satisfaction score for the program was 86.1. Conclusion: These results indicate that this drug dosage calculation training program using smartphone application is effective in improving dosage calculation related self-efficacy and calculation ability. Further study should be done to develop additional interventions for reducing anxiety.

• Korean Journal of Adult Nursing
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• v.24 no.6
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• pp.569-579
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• 2012

Purpose: The purpose of this study was to investigate the relationship between drug dosage calculation error prevention competence and medication safety organizational climate. Methods: We surveyed 207 nurses from 15 hospitals. An assessment survey was designed to assess the medication safety organizational climate which consisted of four subcategories including medication safety cultures, medication safety initiatives, medication error communication, and medication error management competence. The drug dosage calculation error prevention competence contains two subcategories; Dosage calculation habits and ability. The data were collected from July to August 2011. Descriptive statistics, t-test, ANOVA, partial Pearson correlation coefficient, canonical correlation were used. Results: Organizational climate was related to dosage calculation error prevention competence with two significant canonical variables. The first canonical correlation coefficient was .53 (Wilks' ${\lambda}$=0.71, df=8, p<.001) and that of the second was .21 (Wilks' ${\lambda}$=0.96, df=3, p=.027). The first variate indicated higher perception of medication safety cultures, safety initiatives, error communication and error management competence were related to better dosage calculation habits. The second variate showed higher perception of medication safety cultures and lower medication error management competence were related to higher calculation ability. Conclusion: Continuous supporting strategies for medication safety organizational climate should be implemented to improve drug dosage calculation habits.

• Journal of Korean Biological Nursing Science
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• v.14 no.3
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• pp.174-182
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• 2012

Purpose: The objective of this study was to identify predictors of drug calculation competence of nursing students. Methods: A total of 120 students were recruited from 3 universities from November 10 to 20, 2011. The instruments for this study were drug calculation competence, self-efficacy for drug dosage calculation, anxiety for drug dosage calculation, and the academic self-efficacy scale. The data were analyzed by descriptive analysis, chi-square test, t-test, Scheffe test, partial correlation coefficients, and stepwise multiple regression using the SPSS 18.0 program. Results: The mean score of good competence group was $0.67{\pm}0.08$ and the mean score of no-good competence group was $0.42{\pm}0.10$. The drug calculation competence was positively related to self-efficacy for drug dosage calculation and academic self-efficacy scale, but negatively related to anxiety for drug dosage calculation after controlling personal attributes. The main predictors of drug calculation competence in nursing students were identified as anxiety for drug dosage calculation (${\beta}$=-.25, p=.046), academic self-efficacy (${\beta}$=.19, p=.035). These two factors explained about 10% of variance in drug calculation competence. Conclusion: Based on the results, the strategies reducing the anxiety for drug dosage calculation and improving the academic self-efficacy should be developed and implemented.

• Journal of Korean Biological Nursing Science
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• v.16 no.2
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• pp.113-122
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• 2014

Purpose: This study was to identify predictors of drug dosage calculation error risk in newly graduated nurses. Methods: A total of 115 newly graduated nurses who passed their employment examination, but didn't work for hospital yet, were recruited from a university hospital. The data were analyzed by descriptive statistics, $X^2$-test, t-test, ANOVA, Pearson correlation coefficients, and stepwise multiple regression using the SPSS 18.0 program. Results: The mean score of 'drug dosage calculation ability' was $0.81{\pm}0.16$ and the mean score of 'certainty of calculation' was $2.95{\pm}0.60$ out of a 5 point scale. The error risk of drug dosage calculation was positively related to anxiety for drug dosage calculations (r=.388, p<.001), but negatively related to interest and confidence in mathematics (r=-.468, p<.001), confidence related to dosage calculations (r=-.426, p<.001). The main predictors of error risk related drug calculations in newly graduated nurses were identified as interest and confidence in mathematics (${\beta}$=-.468, p<.001). This factor explained about 21.9% of the variance in error risk of drug dosage calculation. Conclusion: The strategies used to decrease the error risk related drug dosage calculation such as improving interest and confidence in mathematics should be developed and implemented.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.5
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• pp.2251-2261
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• 2013

The objective of this study was to develop and evaluate learning smartphone application for improving drug dosage calculation ability of nursing students. We evaluated the contents based on the sufficient teaching materials and developed the process for implementation of the educational system. The participants were 37 nursing students. After implementation during 4 weeks, data was analyzed with the SPSS WIN 18.0. There were significant differences of achievement of learning objectives(${\chi}^2$=10.90, p=.004), application to work(Z=2.86, p=.004), mathematical confidence (Z=3.07, p=.002), according to the frequency of program use, but there was no difference in academic self-efficacy. Based on the results of this study, developed smartphone application will help to strengthen the drug dosage calculation ability of nursing students. And also, the results suggest that more powerful application for improving academic efficacy and increasing participation should be developed.

• Journal of Digital Convergence
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• v.17 no.7
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• pp.215-224
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• 2019

The objective of study was to identify perceived medication administration Competence of senior nursing students. A total of 128 students were recruited. The instruments for this study were self-efficacy for drug dosage calculation, anxiety for drug dosage calculation and perceived medication administration competence. The data were collected from November 2018 to January 2019, analyzed by descriptive analysis, chi-square, t-test, Scheffe test, correlation coefficients, and multiple regression using the SPSS 25.0 program. The main predictors of perceived medication administration competence were identified as confidence in drug dosage calculation (${\beta}=.463$, p<.001), Attitude of participation at clinical practice (${\beta}=.168$, p=.040). These two factors explained about 29% of variance in perceived medication administration competence (F=26.93, p<.001). It can contribute to improve their ability to administrate medication in practice, with the accuracy of prescription, recalculation of prescribed drug dose, and observation of adverse reactions in clinical practice and simulation with collaborative approach.

• Journal of Pharmaceutical Investigation
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• v.1 no.1
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• pp.62-69
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• 1971

The method of assessing drug availability has been the subject of much concern and the equation is presented to estimate the drug availability of dosage forms and to calculate the desirable rates of drug absorption in a model. $Xmax/X_0=(k_1/k_2)^{{\frac{1}{1-^-k_1/k_2}}}$ To facilitate the calculations involved in the equation, a program in Fortran with Format was used in the IBM 1130 digital computer system. Using availability, $Xmax/X_0$, and the given rates of elimination from the blood, the desirable rates of drug absorption in the model were calculated and shown in detail. Applicabiliy of the equation to estimate the drug availability of dosage forms in the model was demonstrated with different sets of data from the literatures.

• 제어로봇시스템학회:학술대회논문집
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• 1995.10a
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• pp.75-78
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• 1995

In this paper it is concerned to develop control method using jar-test results in order to predict the optimum dosage of coaglant, PAC(PoliAluminum Chloride). Considering the relations with the reactions with the reaction of coagulation and flocculation, the five independent variables ( e, g, turbidity of raw water, water turbidity in flocculators, temperature, pH, and alkalynity) are selected out of parameters and they are put into calculation to develop a neural network model for PAC dosing process in water purification system. This model is utilized to predict optimum dosage of PAC. That is, the optimum dosage of PAC is searched in neural network model for PAC dosing process to minimize the water turbidity in flocculators. This searching is implemented by means of expert heuristics. The efficacy of the proposed contorl schemem and feasibility of acquired neural network model for PAC dosing contorl in water purification system is evaluated by means of computer simulation.

• Journal of Sericultural and Entomological Science
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• v.20 no.2
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• pp.36-39
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• 1978

With the current advances in insect toxicant bioassay, the need for easy methods of estimating the dosage-mortality regression equation has become vital. The Probit analysis seems to be not convenient for estimating the dosage-mortality regression equation and median lethal dose(LD50) because of its complexity in calculation. This study presents a comparision between Probit and Losit transformation for the estimation from bioassay results. Validation of the two methods is presented for the pathogenecity of nuclear polyhedrosis virus to the larva of fall web worm, Hyphantria cunea D.

• Journal of Korean Academy of Nursing
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• v.42 no.4
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• pp.568-578
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• 2012

Purpose: The purpose of this cross-sectional study was to examine current status of IT-based medication error prevention system construction and the relationships among system construction, medication error management climate and perception for system use. Methods: The participants were 124 patient safety chief managers working for 124 hospitals with over 300 beds in Korea. The characteristics of the participants, construction status and perception of systems (electric pharmacopoeia, electric drug dosage calculation system, computer-based patient safety reporting and bar-code system) and medication error management climate were measured in this study. The data were collected between June and August 2011. Descriptive statistics, partial Pearson correlation and MANCOVA were used for data analysis. Results: Electric pharmacopoeia were constructed in 67.7% of participating hospitals, computer-based patient safety reporting systems were constructed in 50.8%, electric drug dosage calculation systems were in use in 32.3%. Bar-code systems showed up the lowest construction rate at 16.1% of Korean hospitals. Higher rates of construction of IT-based medication error prevention systems resulted in greater safety and a more positive error management climate prevailed. Conclusion: The supportive strategies for improving perception for use of IT-based systems would add to system construction, and positive error management climate would be more easily promoted.