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Kim Bongyoung,Ahn Song Vogue,Kim Dong-Sook,Chae Jungmi,정수진,어영,Kim Hong Bin,Kim Hyung-Sook,Park Sun Hee,Park Yoon Soo,최준용 대한의학회 2022 Journal of Korean medical science Vol.37 No.24
Background: The Korea National Antimicrobial Use Analysis System (KONAS), a benchmarking system for antimicrobial use in hospitals, provides Korean Standardized Antimicrobial Administration Ratio (K-SAAR) for benchmarking. This article describes K-SAAR predictive models to enhance the understanding of K-SAAR, an important benchmarking strategy for antimicrobial usage in KONAS. Methods: We obtained medical insurance claims data for all hospitalized patients aged ≥ 28 days in all secondary and tertiary care hospitals in South Korea (n = 347) from January 2019 to December 2019 from the Health Insurance Review & Assessment Service. Modeling was performed to derive a prediction value for antimicrobial use in each institution, which corresponded to the denominator value for calculating K-SAAR. The prediction values of antimicrobial use were modeled separately for each category, for all inpatients and adult patients (aged ≥ 15 years), using stepwise negative binomial regression. Results: The final models for each antimicrobial category were adjusted for different significant risk factors. In the K-SAAR models of all aged patients as well as adult patients, most antimicrobial categories included the number of hospital beds and the number of operations as significant factors, while some antimicrobial categories included mean age for inpatients, hospital type, and the number of patients transferred from other hospitals as significant factors. Conclusion: We developed a model to predict antimicrobial use rates in Korean hospitals, and the model was used as the denominator of the K-SAAR.
Jungmi Kim,Hwasoon Kim,Young Whee Lee,Ji Young Lim,Soo Hyun Kim 한국간호과학회 2021 한국간호과학회 학술대회 Vol.2021 No.10
Aim(s): This structural model study aimed to identify the factors affecting social readjustment of stroke patients, to propose a hypothetical model, and to test the developed model with empirical data. Method(s): The hypothetical model was developed based on Roy’s adjustment model (1991) and a review of previous literature on the topic. It consists of four exogenous variables (neurological damage, sex, age, and social support) and five endogenous variables (activities of daily living, acceptance of disability, depression, rehabilitation motivation and social readjustment). The subjects were 321 stroke patients. The data were analyzed using IBM SPSS/WIN 22.0 and AMOS 23.0. Result(s): The fit of the hypothetical model was χ2=222.902, χ2/df=2.533, CFI=.937, TLI=.902, RMSEA=.069, SRMR=.054, which indicates that the model is fairly suitable. 18 of the model’s 28 research hypotheses were supported, and explained 64.1% of stroke patients’ social readjustment. According to the findings, social readjustment is directly and significantly affected by age (SRW=-.379, p<.001), social support (SRW=.295, p<.001), activities of daily living (SRW=.335, p<.001), and depression (SRW=-.244, p<.01). On the other hand, neurological damage (SRW=-.062, p=.358), sex (SRW=.059, p=.282), acceptance of disability (SRW=-.100, p=.218), and rehabilitation motivation (SRW=.055, p=.391) did not have significant direct effect. Conclusion(s): Continuous assistance should be provided to stroke patients who require long-term rehabilitation and care on account of disabilities caused by sudden neurological damage, including active nursing intermediation in physical, psychological, and social aspects, so as to improve their social readjustment gradually. In order to improve stroke patients’ social readjustment, their activities of daily living should be increased, and enhanced social support should be provided to prevent depression.
Cyclodipeptide-bridged porphyrin dimer supramolecular assemblies
Kim, Dongyong,Heo, Jungmi,Ham, Sujin,Yoo, Hyejin,Lee, Chi-Hwa,Yoon, Hongsik,Ryu, Duyeol,Kim, Dongho,Jang, Woo-Dong Royal Society of Chemistry 2011 Chemical communications Vol.47 No.8
<P>A cyclodipeptide-bridged porphyrin dimer has formed fibrous and toroidal multi-porphyrin array systems by hydrogen bonding-mediated self-assembly.</P> <P>Graphic Abstract</P><P>A cyclodipeptide-bridged porphyrin dimer has formed fibrous and toroidal multi-porphyrin array systems by hydrogen bonding-mediated self-assembly. <IMG SRC='http://pubs.rsc.org/services/images/RSCpubs.ePlatform.Service.FreeContent.ImageService.svc/ImageService/image/GA?id=c0cc04654j'> </P>
Development of Customized Insole Design Framework Based on Digital Twin
Jungmi Kim,Juyoung Choi,Young-Jin Kang,Yoojeong Noh 한국정밀공학회 2024 International Journal of Precision Engineering and Vol.25 No.4
Variable insoles can freely adjust the position of the insole, so they have been actively developed for posture and gait correction. This study proposed a customized insole design framework for individual foot shapes by constructing a digital twin model between a finite element analysis (FEA)-based virtual model and an actual physical model. Foot pressure data from the physical model were used as a load condition for the FEA model, and the insole material properties were tuned to maximize the similarity between the FEA model and the real model using virtual sensors. The obtained digital twin model corrected the abnormal arch index of the cavus foot to normal through position optimization of the partial insole, and subsequently balanced the front and rear of the foot.
Trends in National Pharmaceutical Expenditure in Korea during 2011 - 2020
Kim Yujeong,Chae Jungmi,Shin Seohee,Jo Gayoung,Shin Jihye,Kim Byungsoo,Kim Dong-Sook,Lee Jin Yong 대한감염학회 2023 Infection and Chemotherapy Vol.55 No.2
Background: This study aimed to identify the trends in pharmaceutical expenditure (PE), share of PE in health expenditure (HE), and trends in expenditure by pharmacological groups (ATC level 1 classification) in Korea for a 10-year period (2011 - 2020) and compare the data with those of other Organisation for Economic Co-operation and Development (OECD) countries. Using the findings, we determined the current status of pharmaceutical expenditure (PE) management in Korea and derived the implications for establishing future macroscopic policies on PE. Materials and Methods: We analyzed the OECD Health Statistics and the Korean national health insurance claims database from January 2011 through December 2020. The outcome measures were HE, PE, and pharmaceutical sales data for ATC level 1 medicines from OECD Health Statistics data during 2011 - 2020. As OECD collects limited ATC level 1 data, we used the HIRA health insurance claims data for PEs of ATC level-1 classification, including D, L, P, and S. Results: PE in Korea increased by 38.5% from 19.9 billion USD in 2011 to 27.6 billion USD in 2020, whereas the share of PE in HE decreased by 6.3%p from 26.4% in 2011 to 20.1% in 2020. In 2020, Korea ranked third in PE per capita (760.9 USD PPP) and had the highest share of PE (20.1%) among the 19 OECD countries studied. By ATC level 1 class, the highest PE was A (alimentary tract and metabolism) at 4.3 billion USD, and L (antineoplastic and immunomodulating agents) had the highest increase at 13.4%; in contrast, J (anti-infectives for systemic use) had the lowest increase in annual average PE at −0.2% in 2020 relative to 2011. Among the 17 OECD countries, Korea had the highest and the third-highest expenditures for ATC codes A and J, respectively. Conclusion: PE in Korea has continued to increase between 2011 and 2020, indicating the need for macroscopic management of PE. Our results on PE by ATC code may help health authorities in establishing future policies on PE.
Kim, Mi-hyun,Lee, JungBok,Cho, Gyunggoo,Cho, Kyoung-Sik,Kim, Jungmi,Kim, Jeong Kon Acta Radiologica] 2013 Acta radiologica Vol.54 No.10
<P>Subtype-related various computed tomography (CT) features of renal cell carcinoma (RCC) are a confusing factor in differentiating angiomyolipoma with minimal fat (AMLmf) from RCC. To overcome RCC heterogeneity, a scoring system, which integrates multiple discrimitive parameters can be helpful for differentiating AMLmf from RCC.</P>