Journal of The Korean Society of Inherited Metabolic disease
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v.22
no.1
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pp.15-20
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2022
The most common urea cycle disorder is ornithine transcarbamylase deficiency. More than 80 percent of patients with symptomatic ornithine transcarbamylase deficiency are late-onset, which can present various phenotypes from infancy to adulthood. With no regards to the severity of the disease, characteristic fluctuating courses due to hyperammonemia may develop unexpectedly, and can be precipitated by various metabolic stressors. Late-onset ornithine transcarbamylase deficiency is not merely related to a type of genetic variation, but also to the complex relationship between genetic and environmental factors that result in hyperammonemia; therefore, it is difficult to predict the prevalence of neurological symptoms in late-onset ornithine transcarbamylase deficiency. Most common acute neurological manifestations include psychological changes, seizures, cerebral edema, and death; subacute neurological manifestations include developmental delays, learning disabilities, intellectual disabilities, attention-deficit/hyperactivity disorder, executive function deficits, and emotional and behavioral problems. This review aims to increase awareness of late-onset ornithine transcarbamylase deficiency, allowing for an efficient use of biochemical and genetic tests available for diagnosis, ultimately leading to earlier treatment of patients.
Park, Il-Tae;Jung, Yoen-Yi;Park, Seong-Hi;Hwang, Jeong-Hae;Suk, Seung-Han
Quality Improvement in Health Care
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v.23
no.1
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pp.69-90
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2017
Purpose: The purpose of this study was to analyze the impact of healthcare accreditation and to provide empirical evidence to validate positive effectiveness. Methods:Six electronic databases (KERIS, KoreaMed, NDSL, Ovid-medline, Embase, Cochrane library) were accessed in May 2016. Keywords used were 'accreditation' and 'Joint Commission on Accreditation of Healthcare Organization (JCAHO)'. Of the initially identified 3,008 articles, 60 studies on healthcare accreditation were selected based on inclusion criteria that are hospital accreditation, accreditation by disease and clinical center accreditation. These were retrieved and analyzed. Result: The 60 study results were on the impact of healthcare accreditation. Results were classified into four perspectives of Balanced Score Card (Financial, Customer, Internal Process, Learning & Growth). In internal process perspective, results revealed that healthcare accreditation has made a positive impact on "care process and procedure". In learning & growth perspective, healthcare accreditation has made a positive influence on "leadership", "organizational cultures" and "change mechanisms". However, it revealed that healthcare accreditation does not directly affect financial performance. It is also difficult to reach a definitive conclusion that healthcare accreditation programs affect patient satisfaction of customer and clinical outcome of the internal process. Conclusion: Healthcare accreditation programs provide positive impact on change of care process and building communication-oriented hospital culture. However, more rigorous and diverse research is needed on financial effects and clinical outcomes of healthcare accreditation.
Observation of the current Korean medical education and training system shows that certain negative traits of unchangeable solidification engraft themselves so deeply into the overarching system that they are now hampering the state of the national health welfare. Focusing only on undergraduate medical education, we can point out some glaring side-effects that should be of concern to any stakeholder. For instance, a graduate can legally begin his career as an independent practitioner immediately after passing the licensing exam and return to the old stuck school-year system of 2-year-premedical and 4-year-medical programs where outcome-based and integrated curricula are incomplete and unsatisfactory. In terms of learning opportunities, the balance between patient care and public health, as well as that between in-hospital highly specialized practice and community-based general practice, has worsened. Every stakeholder should be aware of these considerations in order to obtain the insight to forge a new direction. Moreover, our medical schools must prepare our students to take on the global roles of patient care within the Fourth Industrial Revolution, health advocacy for the imminent super-aged society, and education and research in the bio-health industry, by building and applying the concept of academic medicine. We will need to invest more resources, including educational specialists, into the current undergraduate medical education system in order to produce proper outcomes, smart curriculum, innovative methods of teaching and learning, and valid and reliable monitoring and evaluation. The improved quality of undergraduate medical education is the starting point for the success of the national system for public health and medical care as a whole, and therefore its urgency and significance should be emphasized to the public. The medical society should go beyond fixing what is broken and usher in a new era of cooperation and collaboration that invites other health professionals, governmental partners, law-makers, opinion leaders, and the general public in its steps toward the future.
This study analyzed the early retired employees who stayed in company no longer than 3 years based on a certain company's personality evaluation result data. The predicted model was analyzed by dividing into two categories; the manufacture group and the R&D group. Independent variables were selected according to the stepwise method. A logistic regression model was selected as a prediction model among various supervised learning methods, and trained through cross-validation to prevent over-fitting or under-fitting. The accuracy of the two groups were confirmed by the confusion matrix. The most influential factor for early retirement in the manufacture group was revealed as "immersion," and for the R&D group appeared as "antisocial." In the past, people concentrated on collecting data by questionnaire and identifying factors that are highly related to the retirement, but this study suggests a sustainable early retirement prediction model in the future by analyzing the tangible outcome of the recruitment process.
Background: Healthcare settings have been recognized among the most hazardous places to work. Based on the five categories of occupational hazards that were identified by the ILO and WHO, this study aimed to analyze policy framework relevant to occupational health protection of health workers (HWs) in public health service in China, then discussed how to share the experience of the National Health Service (NHS) England for improvement. Methods: Based on policy learning theories, policy analysis and qualitative interview were used in this study. Results: In the Chinese public health service, at least five laws related to the regulation of occupational health protection for HWs; however, enforcement of relevant laws was separated and multi-centered; the national monitoring system, which targeted to occupational hazards and health outcome for HWs in China, had yet to be developed; the top three priorities were workplace violence, bloodborne pathogens, and musculoskeletal disorders; national strategies included Security Hospital, and Healthy China 2030. In NHS England, three laws were fundamental; several monitoring systems had been set up, including NHS Staff Survey, Commissioning for Quality and Innovation incentive scheme; mental health, musculoskeletal problem, and nutrition disorder and overweight were raised great concern; Health and Safety, and NHS Healthy Workforce Program were critical nationwide strategies. Conclusion: There were several similarities as well as differences between the Chinese public health system and NHS England, which laid foundation of learning by China. Recommendations of improving occupational health policies in China were provided, based on the lessons learned from the NHS England.
This study was conducted to explore the effect of the type of dashboard on online group discussion activities based on learning analysis. The experimental research was conducted among 51 learners from a university by dividing them into 2 groups. Group A provided participation and interaction dashboard, and group B provided the discussion topics and message type dashboard. First, pre-tests were conducted on attitudes toward computer writing and the level of motivation that could affect online discussion activities. Then the students participated three different topics of online group discussions. The participation and interaction data were automatically collected through the dashboard, and learning outcome data were collected through post-tests. The results showed level of participation in Group B (M=47.56, SD=2.37) that provided discussion topics and message type dashboard was significantly higher than the level of participation in Group A (M=38.13, SD=2.21) that provided participation and interaction dashboard. On the other hand, there were no differences in the level of interaction and learning outcomes. In future studies, we suggest that the dashboard effects based on the learners' characteristics should be carried out because the learners' characteristics may affect the use of the dashboard.
Journal of The Korean Association For Science Education
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v.42
no.2
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pp.277-287
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2022
This study aims to investigate the main effects and interaction effects of individual variables on the epistemological beliefs of elementary school science teachers. For this purpose, a survey was conducted on 338 elementary science teachers in the metropolitan area on gender, teaching career, and epistemological beliefs. Epistemological beliefs show significant differences not only in gender and teaching career, but also in the interaction between gender and teaching career. Depending on gender, female teachers are more integrated in knowledge than male teachers, and process is more important than outcome in learning. Depending on the teaching career, it was found that high-career teachers generally value the process rather than the results, as knowledge is integrated and constantly evolving, knowledge is acquired by individual reasoning and justified through external interaction. On the other hand, teachers with low career perceive that efforts are indispensable in learning compared to other groups. Depending on the interaction between gender and teaching career, elementary school teachers believe that the higher the teaching career, the more integrated and constantly evolved, but low-career male teachers believed that learning ability was born with experience, while high-career male teachers value the learning process. Based on this study, it is expected that many training sessions aimed at improving the quality of teaching and learning will provide more effective opportunities to develop elementary science teachers' epistemological beliefs, considering teachers' personal characteristics.
Journal of The Korean Association For Science Education
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v.42
no.2
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pp.227-238
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2022
One of the main roles of the science teacher is to help students become active agents in their learning of science. This study described how an elementary science teacher used students' emotional resources to conduct emotionally responsive teaching and what were the learning outcomes of this approach. The participants of the study included the teacher himself and his 6th grade students, and emotionally responsive teaching was applied in the science unit of 'Various Living Things and Our Human Lives'. Multiple types of data, including the teacher's teaching logs, video recordings of the lessons in the unit, and interviews with the students, were collected. The data were analyzed qualitatively, and the results were described using a self-study method. The teacher took advantage of three kinds of students' emotional resources (i.e., character drawing, t-shirt design, and raps) to organize his emotionally responsive teaching. The learning outcome included the students' positive emotions and active participation in science lessons, their epistemic practices such as explorations and justifications of knowledge, and the students' reconstruction of knowledge in consideration of their everyday lives. It was suggested that emotionally responsive teaching can promote elementary school students' active participation in science learning, resulting in meaningful learning outcomes in emotional, cognitive, and conceptual aspects. Further studies should thus be conducted to understand the characteristics of emotionally responsive teaching and its detailed teaching strategies.
Objective : The spontaneous intracerebral hemorrhage (ICH) remains a significant cause of mortality and morbidity throughout the world. The purpose of this retrospective study is to develop multiple models for predicting ICH outcomes using machine learning (ML). Methods : Between January 2014 and October 2021, we included ICH patients identified by computed tomography or magnetic resonance imaging and treated with surgery. At the 6-month check-up, outcomes were assessed using the modified Rankin Scale. In this study, four ML models, including Support Vector Machine (SVM), Decision Tree C5.0, Artificial Neural Network, Logistic Regression were used to build ICH prediction models. In order to evaluate the reliability and the ML models, we calculated the area under the receiver operating characteristic curve (AUC), specificity, sensitivity, accuracy, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR). Results : We identified 71 patients who had favorable outcomes and 156 who had unfavorable outcomes. The results showed that the SVM model achieved the best comprehensive prediction efficiency. For the SVM model, the AUC, accuracy, specificity, sensitivity, PLR, NLR, and DOR were 0.91, 0.92, 0.92, 0.93, 11.63, 0.076, and 153.03, respectively. For the SVM model, we found the importance value of time to operating room (TOR) was higher significantly than other variables. Conclusion : The analysis of clinical reliability showed that the SVM model achieved the best comprehensive prediction efficiency and the importance value of TOR was higher significantly than other variables.
The purpose of this study was conducted to develop adult distance literacy education program and verify its effects. The program was developed through the examination on factors affecting online literacy education and necessary analysis and feedback. Pre- and post-tests analyzing the effects of distance literacy education measuring academic understanding factor, learner satisfaction and satisfactory levels on the academic were administered to 49 adult literacy learners before and after a distance literacy education course. Also, this paper try to explore learners who participated in distance literacy education experience, change and that meaning. The results of the content analysis on the program are summarized as follows. First, there were statistically significant differences regarding academic understanding factor, learner satisfaction and perceived learning outcome satisfaction variables since distance literacy education program which is based on ARCS model start. In addition, learners were satisfied with replaying the learning videos several times, and the improved ability to use smart devices. But they expressed regrets about not being able to go to school and the difficulty of using the devices. It means that distance literacy education based on the ARCS model draw a positive learning conclusion. On the basis of these results, suggestions for further research were discussed.
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