• Journal of Oral Medicine and Pain
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• v.26 no.3
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• pp.189-204
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• 2001

본 연구는, 기존의 나열식 분류체계의 문제점을 극복할 수 있는 GRAIL을 이용하여 두경부의 해부학적 구조물들 및 구강 악안면 영역의 주요 질병들과 관련된 치의학 개념들의 모델을 구축한 뒤, 완성된 치의학 개념 모델이 두경부의 해부학적 구조물들 및 구강 악안면 영역의 주요 질병들을 잘 표현할 수 있는지와 기존의 GRAIL 모델이 지닌 특징에 잘 부합하는지를 평가하고자 시행되었다. 서울대학교 치과병원 내원 환자 중 포괄적인 치과 치료 병력을 지닌 환자 150명의 치과 의무기록을 내용별로 분석하고, 각종 치의학 교과서와 기존의 의학용어 분류체계에서도 모델 구축에 필요한 치의학 용어를 선택하였다. 이들 자료를 바탕으로, GRAIL 모델 구축을 진행하고 구축된 모델을 평가할 수 있는 소프트웨어 프로그램인 'KnoME'에서 치의학 개념 모델을 구축하고 평가하여, 다음과 같은 결론을 얻었다. 1. 환자 150명의 치과 의무기록을 내용별로 분석한 결과, 우선적으로 모델 구축이 필요한 치의학 용어로는, 해부학적 구조물의 경우 치아, 치은, 악관절, 입술, 턱, 혀 등의 순서로 나타났으며, 구강악안면 영역의 병소에서는 치아 우식증, 치주염, 치은염, 악관절 장애, 매복 지치, 치경부 마모 등의 순서로 나타났다. 2. GRAIL을 이용하여 치아, 치주조직, 구강점막조직, 치아 우식증, 치수 및 치근단 병소, 치주질환, 구강점막질환의 모델 구축을 시행한 결과, 치의학 개념간의 다양한 관계가 대다수 잘 표현되었다. 그러나, 구강 악안면 영역의 해부학적 구조물에 대한 공간 정의의 한계성과 구강 악안면 질환의 진행 양상에 있어서 표현의 어려움이 관찰되었다. 이러한 부분은 GRAIL을 치의학 분야에 적용할 때, 극복해야 할 한계로 나타났다. 3. 치의학 개념들에 관한 다양한 질의를 시행한 후 그 응답 내용을 평가한 결과, 완성된 모델 내에서 치의학 개념의 자동적인 분류가 이루어 졌으며, 다양한 목적의 검색이 가능하였다. 이와 같은 사실로 미루어 보아서, 완성된 모델은 기존의 GRAIL 모델의 특성에 잘 부합되는 것으로 생각되었다.

• Journal of Korean Academy of Nursing Administration
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• v.13 no.3
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• pp.311-320
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• 2007

연구 목적: 사례 관리(CM) 환자 만족도 측정에 관한 연구 결과를 고찰하여 사례관리 실무에서 활용할 수 있는 근거를 제공하고자 한다. 연구 방법: MedLine, CINAHL에서 주요용어로 case management, care management, 주제어로 patient satisfaction, client satisfaction을 이용해 문헌 검색을 실시하였다. 연구 결과: 만족도에 대한 개념은 관련 연구가 매우 부족하며, 서로 다른 이론적 접근을 하고 있으므로 그 측정에 어려움이 있다. 신뢰할 만한 만족도 측정을 위해서는 설문 문항을 서술하는 여러 가지 방법들, 측정 척도의 종류, 만족도에 영향을 미치는 혼란변수들을 주의 깊게 고려하여야 한다. 만족도는 사례관리 연구에서 흔히 측정되는 성과이지만 대부분의 관련 연구에서 사례관리의 특징이 반영된 측정 도구를 사용하지 않고 있었다. 따라서 본 논문은 다섯 개의 사례관리 만족도 측정 도구를 제시하고 그 특징을 소개하였다. 또한, 간호성과분류체계(The Nursing Outcomes Classification)에 제시된 만족도 측정항목들 중 사례관리와 관련이 높은 약 40%의 항목들을 발견하였다. 결론: 사례관리 만족도 측정 도구가 매우 부족하므로 표준 사례관리 측정도구 개발이 시급하다. 한편 사례관리사들은 만족도 측정에 대한 이해를 높이고 기존 연구 결과를 활용함으로써 보다 정확한 사례관리 만족도 평가가 이뤄지도록 노력해야 한다.

• Korean Journal of Adult Nursing
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• v.20 no.3
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• pp.489-499
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• 2008

Purpose: The purpose of this study was to assess the importance and contribution of 9 nursing outcomes and their indicators that could be applied to cerebrovascular patients. Methods: Data were collected from 175 neurosurgical nurses working at two university affiliated hospitals and five secondary hospitals located in Gwang-ju. The Fehring method was used to estimate outcome content validity(OCV) and outcome sensitivity validity(OSV) of nursing outcomes and their indicators. Stepwise regression was used to evaluate relationship between outcome and its indicators. Results: The core outcomes identified by the OCV were Tissue Perfusion: Cerebral, Nutritional Status, Neurological Status, and Wound Healing: Primary Intention, whereas highly supportive outcomes identified by the OSV were Oral Health, Self-Care: ADL, and Nutritional Status. All the critical indicators selected for Fehring method were not included in stepwise regression model. By stepwise regression analysis, the indicators explained outcomes from 19% to 52% in importance and from 21% to 45% in contribution. Conclusion: This study identified core and supportive outcomes and their indicators which could be useful to assess the physical status of cerebrovascular patients. Further research is needed for the revision and development of nursing outcomes and their indicators at neurological nursing area.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.11
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• pp.324-334
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• 2019

This study investigates the characteristics of patients hospitalized at a convalescent hospital, by considering patient groups based on their medical record information. It further analyzes and correlates the factors, thus providing basic data required to improve the patient classification system at convalescent hospitals. The data includes total information of 213 medical records of patients discharged from a convalescent hospital in the Jeonbuk region during a period of one year, from January to December 2016. The study examines and correlates the days of hospitalization and the number of diseases, revealing a positive correlation having a correlation coefficient, thereby indicating that infliction with a greater number of diseases results in longer hospitalization. Based on these findings, the study raises the need to revise and supplement items on the patient assessment report to help determine the patient groups and identify medical efforts to be actually provided to patients. In addition, a proper care service system for each patient group based on their respective problems that are intensively managed according to the patient groups will be an essential element in the efficient management of convalescent hospitals. Furthermore, an important task addressed will be in managing the health of the elderly population at the national level.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.317-326
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• 2021

This study is a systematic review of literature to analyze the characteristics and outcome variables of intervention research programs for domestic thyroid patients. We systematically reviewed the literature published until 2019 in five domestic databases. Six of the 824 confirmed articles were extracted according to the selection criteria. The results of this study were classified into education, activities, and counseling. Education and counseling therapy had a significant effect on psychosocial and physiological variables. Activity therapy had a significant effect on physiological variables. This study presented the basis for the development and implementation of various intervention programs for domestic thyroid patients and can be used for the study of the convergence program development considering physiological and psychosocial problems of the thyroid patients.

• Journal of Digital Convergence
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• v.11 no.9
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• pp.289-299
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• 2013

The aim of this study was to enhance the NHI claims data-based tuberculosis classification rule of KCDC(Korea centers for disease control & prevention) for an effective TB surveillance system. 8,118 cases, 10% samples of 81,199 TB cases from NHI claims data during 2009, were subject to the Medical Record Survey about whether they are real TB patients. The final study population was 7,132 cases whose medical records were surveyed. The decision tree model was evaluated as the most superior TB patients detection model. This model required the main independent variables of age, the number of anti-tuberculosis drugs, types of medical institution, tuberculosis tests, prescription days, types of TB. This model had sensitivity of 90.6%, PPV of 96.1%, and correct classification rate of 93.8%, which was better than KCDC's TB detection model with two or more NHI claims for TB and TB drugs(sensitivity of 82.6%, PPV of 95%, and correct classification rate of 80%).

• Journal of Digital Convergence
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• v.10 no.6
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• pp.303-310
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• 2012

In order to analyze factors that support effective health care delivery system, this study aimed to research general public's perception on the functions of medical institutions(based on the levels of treatment: primary care, secondary care, and tertiary care), choices of medical institution when contracted with an unfamiliar disease, and recognition of diseases based on their severities. We collected data using self-administered survey from 400 general public living in Seoul, S. Korea from April 25 to May 18, 2011. The analysis was conducted using frequency analysis, chi-square test, and t-test; we analyzed the data to see if there are differences based on gender, age, and level of education. The result of both recognition of functional differences of medical institutions and selection of medical institutions when contracted with unfamiliar diseases showed that there were no significant differences based on the gender; however there were significant differences when considering the age and education. Looking at the result of the knowledge of the disease classification based on its severity, there were significant differences in age, gender, and education. In order to provide sustainable and effective health care delivery system, utilization of primary care as well as education and promotion regarding the functional differences of medical institutions and classification of disease based on its severity need to be encouraged.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.5 no.3
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• pp.144-151
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• 2012

Chronic gastritis is the disease that is occuring in one in every 10 persons in Korea. In western medicine, endoscopy is needed to diagnose chronic gastritis, but it causes patients a pain and budget of expense. According to the TEM (Traditional Eastern Medicine), on the other hand, the 'Guan' position of the right wrist is related to a stomach. Thus we can diagnosis chronic gastritis by analyzing of pulse signal. However, pulse signal diagnosis is depended on oriental doctor's knowledge and experience. In this study, a systematic approach is proposed to analyze the computerized pulse signal. The pulse signals are firstly pre-processed, Gaussian model is adopted to fit the pulse signal, and then some related parameters are extracted from the model. Consequently, disease-sensitive parameters are selected by T-test and statistical difference. Finally, the selected parameters are entered into a Fuzzy C-Means (FCM) algorithm for classification. Classification results show that healthy persons and chronic gastritis patients are 95% and 87%, respectively.

• Therapeutic Science for Rehabilitation
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• v.12 no.2
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• pp.43-53
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• 2023

Objective : In this study, the rehabilitation motivation evaluation tool for stroke patients was identified, and the characteristics of the evaluation tool were analyzed to analyze the conceptual framework and characteristics used in the composition of the evaluation contents. Methods : From 2000 to May 2022, documents registered in major domestic and foreign databases (PubMed, NDSL, Medline, and EMbase) were searched and selected according to the selection and exclusion criteria. The evaluation tools used in the selected documents were analyzed, and the characteristics of this evaluation tool were analyzed. Results : A total of 30 documents were selected, and they were classified into a total of five rehabilitation motivation evaluation tools. The most widely used in Korea was the measurement tool for rehabilitation motivation for the disabled, and the most widely used overseas was the intrinsic motivation inventory. Three evaluation tools constructed the evaluation contents based on the self-determination theory, and two constructed the evaluation contents through expert agreement. The number of evaluation items and 8 to 45 items were varied, and the evaluation scale was also used in various ways from 4 to 7 point scale. Conclusion : It was possible to identify the evaluation tools mainly used for the evaluation of rehabilitation motivation, and to identify the main conceptual framework based on the development of the rehabilitation motivation evaluation tool. The results of this study are expected to be used as basic data for research on the development of rehabilitation motivation evaluation tools for stroke patients in the future.

• Journal of the Korean Society of Radiology
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• v.11 no.5
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• pp.401-406
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• 2017

Breast cancer rates are increasing every year, biopsy for diagnosing breast cancer is increasing as well. Biopsy also invasive test, have bad side effects from patients anxiety, infection, bleeding. In this study, Conduct a survey of 69 patients who brest lesion patient, both B-mode ultrasound and elastography exam and B-mode ultrasound was classified according to the BI-RADS category, and the elastography exam was classified according to the Color overlay pattern that the value of the kPa expressed in relation to the propagation velocity of Transverse waves. The optimal cut off value of the highest sensitivity and specificity was 54.70 kPa. In the color overlay pattern, Dark Blue 42 people, Light blue ~ Red 27 people classified results and BI-RADS classification results, benign 40 people and malignant 29 people classified results showed similar results. Therefore, It is judged that the color overlay pattern is positive when classified into Dark Blue, and malignant when classified into Light blue ~ Red. In conclusion, breast elastography is expected to play a innovative role in reducing the number of breast cancer examinations and classify between benign and malignant tumor.