• The Korean Nurse
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• v.33 no.2
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• pp.59-72
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• 1994

This study was conducted to identify an initial clinical experience of nursing students, so to better understanding to students' experience in clinical setting. The study subjects were 39 nursing students working in C department of nursing in C city. This study was approached by phenomenological method, collected data were analyzed by Colaizzi's method. The results were followed. From the protocol, 236 significant statements were organized into 56 formulated meanings. From formulated meanig, 27 themes were identified, organized into 13 theme clusters, and then into 6 categories. Theose nursing students experienced $\mathbb{\ulcorner}$tension$\mathbb{\lrcorner}$ in adjusting themselves to new clinical settings, $\mathbb{\ulcorner}$fear and anxiety$\mathbb{\lrcorner}$ in using unskillful nursing skills. They also went through $\mathbb{\ulcorner}$stress> by difficulties in applying their knowledge and skill to nursing practice, in lack of nursing knowledge and skill, in dealing with making interpersonal relationship with clinical staffs, in insufficiency of clinical instructions and in role ambiguity among nursing students. Physical $\mathbb{\ulcorner}$fatigue$\mathbb{\lrcorner}$ and $\mathbb{\ulcorner}$disappointment and doubt$\mathbb{\lrcorner}$ by the difference between reality and expectation caused by clinical experience. However, clinical experience enabled nursing students to enhance their understanding of human beings, learning, their satisfaction. to nursing practice, to identify the confirmation of nursing identity, so to gain $\mathbb{\ulcorner}$sense of accomplishment$\mathbb{\lrcorner}$. The results of this study are to use as basic data for students attending clinical experience for the first time.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2006.02a
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• pp.30-36
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• 2006

Tissue microarray (TMA) is an array-based technology allowing the examination of hundreds of tissue samples on a single slide. To handle, exchange, and disseminate TMA data, we need standard representations of the methods used, of the data generated, and of the clinical and histopathological information related to TMA data analysis. This study aims to create a comprehensive data model with flexibility that supports diverse experimental designs and with expressivity and extensibility that enables an adequate and comprehensive description of new clinical and histopathological data elements. We designed a Tissue Microarray Object Model (TMA-OM). Both the Array Information and the Experimental Procedure models are created by referring to Microarray Gene Expression Object Model, Minimum Information Specification For In Situ Hybridization and Immunohistochemistry Experiments (MISFISHIE), and the TMA Data Exchange Specifications (TMA DES). The Clinical and Histopathological Information model is created by using CAP Cancer Protocols and National Cancer Institute Common Data Elements (NCI CDEs). MGED Ontology, UMLS and the terms extracted from CAP Cancer Protocols and NCI CDEs are used to create a controlled vocabulary for unambiguous annotation. We implemented a web-based application for TMA-OM, supporting data export in XML format conforming to the TMA DES or the DTD derived from TMA-OM. TMA-OM provides a comprehensive data model for storage, analysis and exchange of TMA data and facilitates model-level integration of other biological models.

• Korean Journal of Radiology
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• v.21 no.12
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• pp.1345-1354
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• 2020

Objective: To evaluate radiomics analysis in studies on mild cognitive impairment (MCI) and Alzheimer's disease (AD) using a radiomics quality score (RQS) system to establish a roadmap for further improvement in clinical use. Materials and Methods: PubMed MEDLINE and EMBASE were searched using the terms 'cognitive impairment' or 'Alzheimer' or 'dementia' and 'radiomic' or 'texture' or 'radiogenomic' for articles published until March 2020. From 258 articles, 26 relevant original research articles were selected. Two neuroradiologists assessed the quality of the methodology according to the RQS. Adherence rates for the following six key domains were evaluated: image protocol and reproducibility, feature reduction and validation, biologic/clinical utility, performance index, high level of evidence, and open science. Results: The hippocampus was the most frequently analyzed (46.2%) anatomical structure. Of the 26 studies, 16 (61.5%) used an open source database (14 from Alzheimer's Disease Neuroimaging Initiative and 2 from Open Access Series of Imaging Studies). The mean RQS was 3.6 out of 36 (9.9%), and the basic adherence rate was 27.6%. Only one study (3.8%) performed external validation. The adherence rate was relatively high for reporting the imaging protocol (96.2%), multiple segmentation (76.9%), discrimination statistics (69.2%), and open science and data (65.4%) but low for conducting test-retest analysis (7.7%) and biologic correlation (3.8%). None of the studies stated potential clinical utility, conducted a phantom study, performed cut-off analysis or calibration statistics, was a prospective study, or conducted cost-effectiveness analysis, resulting in a low level of evidence. Conclusion: The quality of radiomics reporting in MCI and AD studies is suboptimal. Validation is necessary using external dataset, and improvements need to be made to feature reproducibility, feature selection, clinical utility, model performance index, and pursuits of a higher level of evidence.

• Journal of Hospice and Palliative Care
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• v.13 no.1
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• pp.1-6
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• 2010

The purpose of clinical trials is to find evidences for the effects of experimental new drugs or treatments on human. For the successful clinical trials, it is not sufficient to use statistics only for the analyses of collected data, but it is necessary to extend the usage of statistics in various ways. At the beginning of the study, one needs to use statistics for systematically and concretly planning the study. For this, we discussed the usage of statistics in defining the effect, determining the sample size, statistical analyses, and so on.

• Journal of the Korean Data and Information Science Society
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• v.22 no.3
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• pp.605-612
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• 2011

In multi-center randomized clinical trial the treatment eect may be changed over centers. It is thus important to investigate the heterogeneity in treatment eect between centers. For this, uncorrelated random-eect models assuming independence between random-eect terms have been often used, which may be a strong assumption. In this paper we propose a correlated frailty modelling approach of investigating such heterogeneity using the hierarchical-likelihood method when the outcome is time-to-event. In particular, we show how to construct a proper prediction interval for frailty, which explores graphically the potential heterogeneity for a treatment-by-center interaction term. The proposed method is illustrated via numerical studies based on data from the design of a multi-center clinical trial.

• Korean Journal of Clinical Pharmacy
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• v.16 no.1
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• pp.40-45
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• 2006

In clinical trials, it is important to have well designed case report forms (CRF) in order to obtain good quality of data. If CRF design at the first stage of your study goes wrong, after all efforts have been made, you may find practical difficulties in data analysis at the final stage of your study because of incomplete or wrong information. In this paper, the following rules fundamental to CRF design are introduced: rules in general, rules of format or style, categorized responses, forms with multiple records per subject, and international studies. Investigators are well aware of research goals, however sometimes they do not know how to express it on CRF. If they understand the rules fundamental to CRF design, time for CRF development will be saved and CRF completeness will be enhanced.

• Journal of Korean Medicine for Obesity Research
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• v.17 no.1
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• pp.46-53
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• 2017

Health care big data is thought to be a promising field of interest for disease prediction, providing the basis of medical treatment and comparing effectiveness of different treatments. Korean government has begun an effort on releasing public health big data to improve the quality and safety of medical care and to provide information to health care professionals. By studying population based big data, interesting outcomes are expected in many aspects. To initiate research using health care big data, it is crucial to understand the characteristics of the data. In this review, we analyzed cases from inside and outside the country using clinical data registry. Based on successful cases, we suggest research method for evidence-based Korean medicine. This will provide better understanding about health care big data and necessity of Korean medicine data registry network.

• Journal of Pharmacopuncture
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• v.24 no.3
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• pp.107-121
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• 2021

Objectives: The purpose of this study is to analyze the efficacy of traditional Chinese medicine (TCM) injections specified in the clinical guideline for COVID-19 by conducting a meta-analysis of viral pneumonia data. Methods: TCM injections data on viral pneumonia were collected until July 31, 2021. CNKI, PubMed, EMBASE, and the Cochrane electronic database were used to collect the clinical data. "COVID-19," "Viral pneumonia," "Tanreqing," "Xiyanping," "Reduning," "Xingnaojing," "Xuebijing," "Shenmai," "Shengmai," and "Shenfu" were used as keywords. All data collected were mainly about TCM injections and viral pneumonia. Furthermore, studies that included results such as the total effective rate, cough disappearance time, antipyretic time, lung rhomboid disappearance time, and adverse drug reaction were collected for the meta-analysis to identify the efficacy of TCM injections. However, data unrelated to TCM injections specified in the clinical guidelines for COVID-19 or viral pneumonia were excluded. The quality of included RCTs was assessed by the Cochrane Risk of Bias Tool, and Review Manager 5.3 software was used to conduct the meta-analysis. Results: A total of 18 studies with 1540 patients were included in this study. The results of the meta-analysis showed that the total effective rate OR = 4.61 (95% CI 2.92, 7.25, p = 1.00/ I² = 0%); the cough disappearance time: SMD -1.23 (-1.37, -1.09, p < 0.00001/ I² = 94%); the antipyretic time: SMD -1.26 (-1.40, -1.11, p < 0.00001/ I²=94%); lung rhomboid disappearance time: SMD -1.17 (-1.33, -1.02, p < 0.00001/ I² = 89%); and adverse drug reaction was OR 0.36 (95% CI 0.20, 0.64, p = 0.21/ I² = 30%). From the results, the treatment group (TCM injection) showed better efficacy than the control group (Western medication). Conclusion: Xiyanping, Reduning, and Tanreqing injections may yield benefits as COVID-19 treatments. However, clinical trials on TCM injections for the treatment of COVID-19 are still lacking. More high-quality clinical trials are still required.

• Journal of Acupuncture Research
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• v.24 no.6
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• pp.159-170
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• 2007

Objectives : The 7-zone-diagnostic system is a diagnostic device to predetermine bodily locations by measuring the energy of a living body. This study was to investigate the relation between the different patterns of Factor AA in a 7-zone-diagnostic system and clinical parameters. The purpose of this study is to relate Korean traditional medicine and western medicine using the data from the 7-zone-diagnostic system and the clinical parameters. Methods : This study was carried out with the data from some clinical parameters. We made two groups according to the Factor AA patterns of VEGA-DFM 722, the 7-zone-diagnostic system The Factor AA patterns of Group A named hyperenergy is all the red bar graphs that arehigher than the normal range. The Factor AA patterns of Group B named hypoenergy is all the red bar graphs that are lower than the normal range. After the data from clinical parameters corresponding with conditions of each group were selected, the data from clinical parameters among each group was analyzed statistically. Results : The values of Weight, GOT, r-GTP, Uric acid and BMI of Group A are higher than those of Group B. The values of Sodium and Phosphorus of Group A are lower than those of Group B. Conclusions : To conclude, it is thought that Group A has a heat-excess type but Group B has colddeficient type.

• Journal of Korean society of Dental Hygiene
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• v.12 no.6
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• pp.1241-1249
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• 2012

Objectives : The purpose of this study was to examine the satisfaction level of dental hygiene students with their major and clinical practice in an effort to have a good understanding of dental hygiene students. The subjects in this study were 226 juniors who were selected from among dental hygiene students at four different colleges located in Busan and South Gyeongnam Province. Methods : The collected data were analyzed by the SPSS WIN 15.0. Statistical data on frequency and percentage were obtained to figure out the general characteristics of the students. To grasp their satisfaction level with clinical practice and major, another statistical data on mean and standard deviation were obtained, and t-test and one-way ANOVA were carried out and correlation analysis and multiple regression analysis. Results : As for the relationship between general characteristics and satisfaction with clinical practice, their collective average was 3.29. The dental hygiene students who were more satisfied with their major expressed higher satisfaction with the practicums, the content of practice and clinical practice. In relation to the impact of the satisfaction of the dental hygiene students with major on their satisfaction with clinical practice, the students who were more satisfied with social awareness and with the courses expressed better satisfaction with clinical practice. Conclusions : Given the findings of the study, the departments of dental hygiene that nurture professionals should carefully consider how to raise the satisfaction of students with the courses that affect the improvement of satisfaction with major and clinical practice.