• The Journal of Health Technology Assessment
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• v.6 no.2
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• pp.106-113
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• 2018

Objectives: The purpose of the study was to estimate the economic burden of stroke in Korea using post stroke disability grades and to measure smoking attributed economic burden. Methods: The disability grade of stroke patient was assessed for stroke patients who did not have a history of stroke before from a large cohort study in Korea. Treatment costs of patients were estimated by the National Health Insurance Service annual statistical report and care cost was estimated by the need of care defined by the assessed disability grades of patients. The population attributable fraction from WHO was used to calculate the proportion of cost due to smoking. Results: The study revealed that the cost of the stroke in 2015 was about 3.228 trillion won, while the care-giver cost was approximately 176 billion won. The cost of the smoking attributed stroke was about 724 billion won. Conclusion: This study is useful for estimating the cost of smoking considering the post-stroke disability and the results is important for achieving the national goal of extending healthy life from the Fourth National Health Promotion Plan.

• International Journal of Contents
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• v.17 no.2
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• pp.20-31
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• 2021

This study aimed to pilot test a newly developed bilateral upper limb rehabilitation training program for improving the upper limb function of individuals with chronic stroke using a visual feedback method. The double-group pretest-posttest design pilot study included 10 individuals with chronic stroke (age >50 years). The intervention (four weekly meetings) consisted of five upper limb training protocols (wrist extension; forearm supination and pronation; elbow extension and shoulder flexion; weight-bearing shift; and shoulder, elbow, and wrist complex movements). Upper limb movement function recovery was assessed with the FuglMeyer Assessment of the Upper Extremity, the Wolf Motor Function Test, the Trunk Control Test, the modified Ashworth Scale, and the visual analog scale at baseline, immediately after, and four weeks after the intervention. The Fatigue Severity Scale was also employed. The Fugl-Meyer Assessment of the Upper Extremity and Wolf Motor Function Test showed significant improvement in upper limb motor function. The Trunk Control Test results increased slightly, and the modified Ashworth Scale decreased slightly, without statistical significance. The visual analog scale scores showed a significant decrease and the Fatigue Severity Scale scores were moderate or low. The bilateral upper limb training program using the visual feedback method could result in slight upper limb function improvements in individuals with chronic stroke.

• Journal of information and communication convergence engineering
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• v.20 no.3
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• pp.204-211
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• 2022

This study evaluated the completeness of patient care report (PCR). A retrospective quality analysis was conducted using raw data of 122,140 EMS activity reports prepared by paramedics in Gyeonggi-do from April 1 to May 31, 2021. In all, 67,830 cases of normal transfers were statistically analyzed using IBM SPSS Statistics version 22, and statistical significance was set at p<0.5. The 119EMT_2 certificate was omitted in 50,037 (73.8%) cases, followed by time-related items in 1,227 (1.8%) cases. In the primary assessment of vital signs, systolic blood pressure was omitted and erroneous in 1,218 (1.9%) and 1,129 (1.8%) cases, respectively. In the secondary assessment, the completeness of all vital sign items was approximately 70%. Advanced emergency care and online medical control (OLMC) reporting showed discrepancies in all items. As the severity of the patient's condition increased, the errors in the Patient care report (PCR) also increased, at a significant level (p= .00). Paramedics must be aware of the importance of completing the activity report.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.2
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• pp.41-48
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• 2023

This study aims to evaluate patients' satisfaction with healthcare services in Hawtat Bani Tamim Governorate during the spread of coronavirus. The importance of this study stems from the fact that Covid-19 is challenging countries all over the world. The study adopted a questionnaire for collecting the data. The sample size reached 231 members. The study applied descriptive statistics and inferential statistical methods to obtain the result of the study. The analysis of the data revealed that most of the participants are satisfied with the healthcare services in hospitals and health centers during the Corona pandemic, Health precautions and distancing measures were applied appropriately, Vaccination against corona was available in health centers and easy to access, and rapid response of health care service providers to patients' requests. The participant's opinions showed that the application of Mawid is a suitable method to access healthcare services during Corona, the application is more efficient in providing the required healthcare services and facilitating their access to healthcare services. In addition, patient satisfaction with the "My health" application provided fast and convenient services during the Corona pandemic and provided medical consultations easily.

• Journal of Trauma and Injury
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• v.36 no.1
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• pp.3-7
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• 2023

Purpose: As resuscitative endovascular balloon occlusion of the aorta (REBOA) is performed in an extremely emergent situation, achieving competent clinical practice is mandatory. Although there are several educational courses that teach the REBOA procedure, there have been no reports evaluating the impact of training on clinical practice. Therefore, this study is aimed to evaluate the effects of the course on procedural performance during resuscitation and on clinical outcomes. Methods: Patients who were managed at a regional trauma center in Dankook University Hospital from August 2016 to February 2018 were included and were grouped as precourse (August 2016-August 2017, n=9) and postcourse (September 2017- February 2018, n=9). Variables regarding injury, parameters regarding REBOA procedure, morbidity, and mortality were prospectively collected and reviewed for comparison between the groups. Results: Demographics and REBOA variables did not differ between groups. The time required from arterial puncture to balloon inflation was significantly shortened from 9.0 to 5.0 minutes (P=0.003). There were no complications associated with REBOA after the course. Mortality did not show any statistical difference before and after the course. Conclusions: The endovascular training for REBOA pilot course, which uses a modified form of flipped learning, realistic simulation of ultrasound-guided catheter insertion and balloon manipulation, and competence assessment, significantly improved procedural performance during resuscitation of trauma patients.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.21 no.4
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• pp.451-463
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• 2023

With South Korea increasingly focusing on nuclear energy, the management of spent nuclear fuel has attracted considerable attention in South Korea. This study established a novel procedure for selecting safety-relevant radionuclides for long-term safety assessments of a deep geological repository in South Korea. Statistical evaluations were performed to identify the design basis reference spent nuclear fuels and evaluate the source term for up to one million years. Safety-relevant radionuclides were determined based on the half-life criteria, the projected activities for the design basis reference spent nuclear fuel, and the annual limit of ingestion set by the Nuclear Safety and Security Commission Notification No. 2019-10 without considering their chemical and hydrogeological properties. The proposed process was used to select 56 radionuclides, comprising 27 fission and activation products and 29 actinide nuclides. This study explains first the determination of the design basis reference spent nuclear fuels, followed by a comprehensive discussion on the selection criteria and methodology for safety-relevant radionuclides.

• Earthquakes and Structures
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• v.25 no.6
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• pp.469-479
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• 2023

A probabilistic seismic damage analysis is an essential procedure to identify seismically vulnerable structures, prioritize the seismic retrofit, and ultimately minimize the overall seismic risk. To assess the seismic risk of multiple structures within a region, a large number of nonlinear time-history structural analyses must be conducted and studied. As a result, each assessment requires high computing resources. To overcome this limitation, we explore a deep learning-based metamodel to enable the prediction of the mean and the standard deviation of the seismic damage distribution of track-on steel-plate girder railway bridges in Korea considering the geometric variation. For machine learning training, nonlinear dynamic time-history analyses are performed to generate 800 high-fidelity datasets on the seismic response. Through intensive trial and error, the study is concentrated on developing an optimal machine learning architecture with the pre-identified variables of the physical configuration of the bridge. Additionally, the prediction performance of the proposed method is compared with a previous, well-defined, response surface model. Finally, the statistical testing results indicate that the overall performance of the deep-learning model is improved compared to the response surface model, as its errors are reduced by as much as 61%. In conclusion, the model proposed in this study can be effectively deployed for the seismic fragility and risk assessment of a region with a large number of structures.

• The Transactions of the Korea Information Processing Society
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• v.13 no.5
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• pp.227-235
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• 2024

Since nuclear power plants (NPPs) increasingly employ digital I&C systems, reliability evaluation for NPP software has become crucial for NPP probabilistic risk assessment. Several methods for estimating software reliability have been proposed, but there is no available tool support for those methods. To support NPP software manufacturers, we propose a reliability measurement tool for NPP software. We designed our tool to provide reliability estimation depending on available qualitative and quantitative information that users can offer. We applied the proposed tool to an industrial reactor protection system to evaluate the functionality of this tool. This tool can considerably facilitate the reliability assessment of NPP software.

• Geomechanics and Engineering
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• v.37 no.4
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• pp.395-418
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• 2024

The epicentral region of earthquakes is typically where liquefaction-related damage takes place. To determine the maximum distance, such as maximum epicentral distance (R_e), maximum fault distance (R_f), or maximum hypocentral distance (R_h), at which an earthquake can inflict damage, given its magnitude, this study, using a recently updated global liquefaction database, multiple ML models are built to predict the limiting distances (R_e, R_f, or R_h) required for an earthquake of a given magnitude to cause damage. Four machine learning models LSTM (Long Short-Term Memory), BiLSTM (Bidirectional Long Short-Term Memory), CNN (Convolutional Neural Network), and XGB (Extreme Gradient Boosting) are developed using the Python programming language. All four proposed ML models performed better than empirical models for limiting distance assessment. Among these models, the XGB model outperformed all the models. In order to determine how well the suggested models can predict limiting distances, a number of statistical parameters have been studied. To compare the accuracy of the proposed models, rank analysis, error matrix, and Taylor diagram have been developed. The ML models proposed in this paper are more robust than other current models and may be used to assess the minimal energy of a liquefaction disaster caused by an earthquake or to estimate the maximum distance of a liquefied site provided an earthquake in rapid disaster mapping.

• Journal of the Korea Safety Management & Science
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• v.26 no.3
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• pp.19-27
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• 2024

This study analyzes the impact of occupational health risk assessments on the safety and health levels and the safety behaviors of workers in manufacturing workplaces. An online survey was conducted among 3,172 companies, yielding 637 responses. The statistical analysis on the collected responses revealed three key findings. First, the safety and health levels (safety importance, safety comprehension, safety awareness) positively influence the outcomes of occupational health risk assessments(safety practice, safety management, safety improvement) and safety behaviors (activity change, safety check). Second, the effectiveness of occupational health risk assessments has a positive impact on safety behaviors. Lastly, the effectiveness of occupational health risk assessments partially mediate the relationship between safety and health levels and safety behaviors. These findings are expected to contribute to the promotion of risk assessments in the field of industrial health and to enhancing safety performance by improving workplace safety, health levels, and safety behavior.