• Journal of Sasang Constitutional Medicine
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• v.19 no.2
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• pp.1-10
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• 2007

1. Objectives This paper was written in order to understand prescription's combination of Taeumin. 2. Methods We analysis prescription's combination of Taeumin through pathology and new prescription in Sinchukbon(辛丑本) of ${\ulcorner}$Dongyisusebowon${\lrcorner}$. 3. Results and Conclusions New prescription of Taeumin is combined with a few specific prescription. We analysis new prescription of the exterior disease and get the basic prescription that is Chobonkwon Taeummahwang-tang(太陰麻黃湯), Chobonkwon Saengmac-san(生脈散) and Gunyul ${\cdot}$ Euiin ${\cdot}$ Nabokja(乾栗 ${\cdot}$ 薏苡仁). And we analysis new prescription of the interior disease and get the basic prescription that is Jojung-tang(調中湯), Galgunhagi-tang(葛根解肌湯) and Isunggugo-hwan(二聖救苦丸) of old prescription. However, pharmacology of Eumhyulmogal is different from the other symptom and disease. That contain the pharmacology of Chungsimyunja-tang(淸心蓮子湯). We can't find Chungsimyunja-tang from the discussion of symptom and disease. So we can estimate that Chungsimyunja-tang belongs to the prescription of Eumhyulmogal.

• Journal of Korean Medical classics
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• v.34 no.4
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• pp.65-78
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• 2021

Objectives : This study aims to provide a methodology for effectively searching similar applications of formulas by comparing applications of pre-existing prescriptions and those applied clinically based on the difference in weight ratio of each medicinal. Methods : The clinical application part was substituted by prescriptions from the Donguibogam. Samples of pre-existing prescriptions were taken from the Bangyakhappyeon. The component ratio of Donguibogam prescriptions(Y) and Bangyakhappyeon prescriptions(X1, X2) were calculated and expressed as Y = a×X1 +b×X2 + α. (a,b: numbers, α: the rest) Results : 1. In order to express the component ratio based on arbitrary prescriptions as standard prescription, a system that incorporates a storage sector for pre-existing prescription data, an input sector for arbitrary prescription data, an analysis sector that compares the two, and an output sector that generates analysis results is required. 2. The current study shows that the suggested analysis method allows for two standard prescriptions to an arbitrary prescription. Therefore, it is possible to analyze prescriptions that are combinations of two standard prescriptions. 3. Based on arbitrary prescription(Y) and pre-existing prescription(X1, X2), the combinations could be expressed as Y= a×X1 + b×X2 + α. Through finding the most simple combination, it is possible to search the most similar application to each arbitrary prescription.

• Korean Management Science Review
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• v.28 no.2
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• pp.93-103
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• 2011

This paper has aimed to identify marketing variables which affect physicians' prescription of drug. Based on a literature review this paper derives the three factors (indirect commercial source, direct commercial source, academic information source) of information sources that physicians rely on for medicines, the three factors (research supporting activity, marketing supporting activity, medicine information supporting activity) of promotion activities physicians prefer, and the four factors (indirect quality of medicine, direct quality of medicine, experience of using medicine, price and design of medicine) of prescription criteria physicians use. Then it investigates using canonical correlation analysis whether or not physicians' prescriptions are affected by the information sources, the promotion activities, and the type of physicians. From the canonical correlation analysis this paper derives the meaningful three canonical functions of prescription for drugs. The first function explains the prescription which is insensitive to marketing activities, the second function does the prescription which is sensitive to them, and the final function does the prescription which is not affected by them.

• Journal of Preventive Medicine and Public Health
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• v.53 no.2
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• pp.82-88
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• 2020

Objectives: The objective of this study was to identify individual and institutional factors associated with the prescription of systemic steroids in patients with acute respiratory infections and to investigate the role of a policy measure aimed to reduce inappropriate prescriptions. Methods: We used data from the National Health Insurance Service-National Sample Cohort from 2006 to 2015 and focused on episodes of acute respiratory infection. Descriptive analysis and multiple logistic regression analysis were performed to identify individual-level and institution-level factors associated with the prescription of systemic steroids. In addition, steroid prescription rates were compared with antibiotic prescription rates to assess their serial trends in relation to Health Insurance Review and Assessment Service (HIRA) Prescription Appropriateness Evaluation policy. Results: Among a total of 9 460 552 episodes of respiratory infection, the steroid prescription rate was 6.8%. Defined daily doses/1000 persons/d of steroid increased gradually until 2009, but rose sharply since 2010. The steroid prescription rate was higher among ear, nose and throat specialties (13.0%) than other specialties, and in hospitals (8.0%) than in tertiary hospitals (3.0%) and other types of institutions. Following a prolonged reduction in the steroid prescription rate, this rate increased since the HIRA Prescription Appropriateness Evaluation dropped steroids from its list of evaluation items in 2009. Such a trend reversal was not observed for the prescription rate of antibiotics, which continue to be on the HIRA Prescription Appropriateness Evaluation list. Conclusions: Specialty and type of institution are important correlates of steroid prescriptions in cases of acute respiratory infection. Steroid prescriptions can also be influenced by policy measures, such as the HIRA Prescription Appropriateness Evaluation policy.

• Journal of Korean Medical classics
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• v.35 no.4
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• pp.1-9
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• 2022

Objectives : This study aims to increase efficiency of the prescription similarity analysis method that uses drug composition ratio. Methods : The controlled experiment compared result generation time, generated data quantity, and accuracy of results between previous and new analysis method on the 12,598 formulas and 61 prescription groups. Results : The control group took 346 seconds on average and generated 768,478 results, while the test group took 24 seconds and generated 241,739 results. The test group adopted a selective calculation method that only used overlapping data between two formulas instead of analyzing all number of cases. It simplified the data processing process, reducing the quantity of data that is required to be processed, leading to better system speed, as fast as 14.47 times more than previous analysis method with equal results. Conclusions : Efficiency for similarity analysis could be improved by reducing data span and simplifying the calculation processes.

• Korean Journal of Clinical Pharmacy
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• v.29 no.3
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• pp.202-208
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• 2019

Objective: Suicide has recently become an important social problem. Thus, we analyzed prescription drugs that cause suicidal ideation. Methods: Of 156 drugs on the the Minister of Food and Drug Safty (MFDS) EZ-Drug site that had "suicide" listed as a side effect, 78 had "suicide" listed as a warning or contraindication; those 78 drugs were analyzed using data from the 2016 Health Insurance and Review and Assessment Services National Patient Sample (HIRA-NPS). Results: 51 "suicide risk" drugs was identified. Of all patients, 5.2% had received such drugs. The prescription rate was 0.8% of all prescriptions, accounting for 1.6% of all prescription days. From logistic regression analysis, the prescription rate for the drugs was approximately 1.1 times higher for women than for men. With regard to age, the prescription rate for patients 66 years and older was 15.5 times higher than those for patients 25-years and lower. With regard to medical departments, the prescription rates in psychiatry and dermatology departments were 8.1 times higher and 0.6 times lower than those in internal medicine departments, respectively. With regard to region, the prescription rates in Daegu and Jeju were 1.3 times higher and 0.79 times lower than those in Seoul, respectively. Conclusion: Drug-induced suicidal behavior is possible, and therefore efforts are needed to prevent it.

• Journal of Korean society of Dental Hygiene
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• v.19 no.3
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• pp.409-419
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• 2019

Objectives: The purpose of this study was to analyze the factors affecting antibiotic prescription in dental outpatients. Methods: The present study was conducted using data from the National Health Insurance Service - National Sample Cohort. We analyzed prescriptions issued in the dental outpatient department in 2015, for adults over 19 years of age. Antibiotic prescription rates and mean prescription days were analyzed by sex, age, insurance type, presence of diabetes mellitus and hypertension, season in treatment, type of dental institution, and location of dental institution. Multivariate logistic regression was also performed to analyze the factors affecting antibiotic prescription in dental outpatients. Results: A total of 257,038 prescriptions were analyzed. The mean prescription days of antibiotics in dental outpatients were $3.04{\pm}1.08days$, and the prescription rate was 93.0%. Two variables (presence of diabetes mellitus and insurance type) were excluded from the multivariate logistic regression analysis model because they did not significantly affect antibiotic prescription. The possibility of antibiotic prescription was higher in men ${\geq}61years$ of age and those with hypertension. Furthermore, antibiotics were most frequently prescribed in dental clinics rather than dental hospitals, and more frequently in Busan compared to other areas (p<0.001). Conclusions: Several factors were determined to affect antibiotic prescription, and detailed guidelines for consistent antibiotic prescription are needed.

• Korean Journal of Clinical Pharmacy
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• v.21 no.3
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• pp.249-255
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• 2011

Objective: To examine the drug use (prescribing) pattern of serious drug-drug interactions (DDIs, contraindicated drug interactions) using real world data. Prescription patterns were examined in terms of dispensing types. Method: Retrospective drug utilization review (DUR) study was performed. One hundred and six datasets of serious DDIs (DDI pairs) were determined among DDI datasets that Ministry of Health & Welfare announced for the DUR system from 2004 to 2005. Electronically transacted ambulatory patients' prescription database to Health Insurance Assessment and Review Services (HIRA) from July, 2005 to June, 2006 was collected with personal information deidentified and analyzed in terms of types of dispensing as a contributing factor. Results: After prescription data analysis per each patient, total number of DDI cases using 95 DDI pairs was 5,511, which accounted for 2.6 cases per patients. DDI cases between two drugs from each of community pharmacy dispensing- type prescription were considerable (63% vs. 24% in those from each of in-institutional dispensing-type prescription and vs. 13% in those from a community pharmacy dispensing-type prescription and an in-institutional dispensingtype prescription). Conclusions: DDI cases from different prescribers were found to be significant. Thus, the concurrent DUR process between prescriptions from different physicians and institutions should be implemented for the safe drug use.

• International journal of advanced smart convergence
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• v.10 no.4
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• pp.206-214
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• 2021

The purpose of this study is to identify the level of polypharmacy use, drug knowledge, and drug misuse behavior in the elderly, and to understand the correlation between them and their effect on drug misuse behavior. The study design was a descriptive survey study, and the participants of the study were 215 elderly people from the local community center. The research tool used drug knowledge, drug misuse behavior, and the data collection period was from February 8 to 19, 2021. The data analysis were descriptive statistics, t-test, one-way ANOVA, Pearson's correlation coefficient, and regression analysis. As a result of the study, a significant correlation variable for the drug knowledge of the elderly showed a significant correlation with prescription and non-prescription, r=.145 (p<0.05), and r=.-. 136, which showed a negative significant correlation (p<0.05). As for the significant correlation variable in the drug misuse behavior of the elderly, when prescription and non-prescription were combined, there was a significant correlation with r=.256 (p<0.01), and when not using drugs, r=.-.225 was negative. showed a significant correlation (p<0.01). In terms of the effect on drug misuse behavior, chronic disease =.145, prescription and non-prescription use = .233, which had a positive effect, and non-prescription = -.328, indicating a negative and significant effect. The provision of education on the safe use of drugs by the elderly should first be provided in the community. In addition, we need systematic education and social support for the transmission of correct knowledge on multi-drug use by the elderly and for health management.

• Health Policy and Management
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• v.25 no.4
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• pp.323-332
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• 2015

Background: Antibiotic resistance has been becoming serious challenge to human beings. Overuse of antibiotics, especially, for infants is concerned, but studies are very few for the prescribing pattern of antibiotic use for infants. This study analyzes prescribing patterns of antibiotics in outpatients of preschool children with acute respiratory tract infections in South Korea. Methods: Data are used from 2011 Health Insurance Review & Assessment Services-pediatric patients sample. Inclusion criteria is outpatient children (0 to 5 years) with top five frequent diseases. Prescription rates are analyzed by types of disease, provider, specialty, region, and ages. Binary or multinomial logit models are used to analyze determinants of providers' prescription pattern. Results: The main findings are as follows. First, distributions of prescription rates are shown as L-shape or M-shape depending on the types of disease. Second, the prescription variation is so large among providers, where providers are polarized as a group with low prescription rates and the other group with high prescription rates, though the shapes are shown diversified across types of disease. Third, prescription rates appear to be lower in pediatrics and higher in ENT (ear-nose-throat). Fourth, broad spectrum antibiotics are widely used among children. Finally, the logit analysis shows similar results with descriptive statistics, but partly different results across types of disease. Conclusion: Antibiotics for respiratory tract infections of infants are used excessively with a large variation among providers, and especially broad spectrum antibiotics are used. The prescription guideline for antibiotics should be provided for each specific disease to reduce antibiotic resistance in the future.