Earticle

비도시지역에서의 토지이용규제는 용도지역제와 토지이용규제 등급제도에 따라 토지 의 이용행위를 제한하고 있다. 그러나 용도지역 구분체계는 합리성이 부족하고, 등급제 도는 등급 구분평가 방법과 법제적 효력의 문제가 있다. 이로 인해 비도시지역 안에서 토지이용규제 시 보전과 개발의 공간적 가치 충돌이 빈번하게 일어나고 있으며, 행위제 한과 관련한 사회적 갈등과 함께 사유재산권 침해의 논란이 있다. 이 연구에서는 비도시지역의 토지이용규제 체계에 대한 문헌조사와 법제 분석을 통 하여 근원적인 문제점을 도출하고, 실증 사례와 함께 법제적 쟁점을 제시하고자 한다. 연구 결과, △용도지역제와 토지이용규제 등급제도의 법적 효력 문제, △등급제도의 효 율성 문제, 보전가치와 개발가치의 공간적 충돌 문제, △토지공개념과 사유재산권 침해 문제, △인허가 과정 장기화와 불명확성 문제 등을 법제적 쟁점으로 제기하였다. 개선방 안으로 비도시지역의 용도지역 구분체계의 재편과 토지이용규제 체계의 단순화 및 법적 효력 마련의 필요성을 제안하였다.

Land use regulations for non-urban area restrict the land use according to the zoning system and hierarchy system of the regulations. However, the classification system of the zoning system is not reasonable and there are problems with the classification system and the legal effect. Hence, when the land use is regulated for rural areas, conflicts of spatial values of conservation and development frequently occur, and social conflicts and inequality related to the restrictions arise. In this study, the main objectives are to discuss the fundamental problems and present legal issues along with practical examples through the legislation analysis and the literature review on land use regulation system for non-urban area. The results show the problems on several points: the legal effect of the zoning system and hierarchy system of land use regulations, efficiency of the hierarchy system, the spatial conflict between conservation and development, guarantee of property rights and infringement of the private property rights, and prolonged regulatory barriers and uncertainty. The necessity of reorganization of the classification system for land use regulations for rural areas and simplification and establishment of the legal effect of land use regulations were suggested as an improvement. The results regarding the land use regulation system for non-urban area will provide an insight into the improved classification system of zoning in rural areas.

Objective To evaluate the utility of using the Personal Assistance Services classification system (PAS-CS) that examines individuals with disabilities for services and government funding. To this end, this study also tests for significant differences in PAS-CS scores across disability grades and disability types.Methods A retrospective analysis was conducted using the 2014 National Survey on People with Disabilities (NSPD) data set. We selected patients with three types of disabilities (physical disabilities, brain lesions, and visual impairments). We compared the average PAS-CS scores of patients with different disability types and grades using general linear models with multiple comparisons. Results A total of 4,810 patients were included in the analysis. Patients with brain lesions had the highest average PAS-CS scores in activities of daily living (ADL) and instrumental activities of daily living (IADL) domains. Patients with visual impairments had the highest average scores in ‘Disease-specific disability’ and ‘Social-environment’ domains. For patients with physical disabilities and visual impairments, no PAS-CS domains were significantly different between patients with disability grade III and those with disability grade IV (p>0.05).Conclusion The PAS-CS scores of disability grades were not equivalent among individuals with different disability types. The Korean Ministry of Health and Welfare currently only considers certain disability grades for PAS pre-eligibility, as a result disregarding the characteristics of different disability types. Thus, the current PAS-CS requires modifications.

Purpose: The purpose of this study was to evaluate the clinical usefulness of the Critical Patient Severity Classification System (CPSCS) and Glasgow Coma Scale (GCS) for critically ill neurological patients and to determine the applicability of CPSCS and GCS in predicting their mortality. Methods: Data were collected from the medical records of 187 neurological patients who were admitted to the intensive care unit of C university hospital. The datawere analyzed through chi-square test, t test,Mann-Whitney, Kruskal-Wallis, goodness-of-fit test, and receiver operating characteristic curve. Results: In accordance with patients’ general and clinical characteristics, patient mortality turned out to be significantly different depending on intensive care unit stay, endotracheal intubation, central venous catheter, and severity by CPSCS. Hosmer-Lemeshow goodness-of-fit tests were applied to CPSCS and GCS. The results of the discrimination test using the receiver operating characteristic curve were CPSCS0, .743, GCS0 .583, CPSCS24, .734, GCS24 .612, CPSCS48, .591, GCS48 .646, CPSCS72, .622, and GCS72 .623. Logistic regression analysis showed that each point on the CPSCS score signifies a 1.034 higher likelihood of dying. Conclusion: Applied to neurologically ill patients, early CPSCS scores can be regarded as a useful tool.

정부는 연구시설장비가 과학기술의 발전을 견인하는 매우 중요한 도구이자, 수단으로 여겨지면서 국 가적으로 R&D와 연구시설장비에 대한 예산 투자를 지속적으로 확대하였다. 또한, 기 구축된 국가연구 시설장비의 효율적 운영 및 체계적 관리의 필요성이 점차 대두되면서 2010년 12월, 국가연구시설장비 표준분류체계를 개발하였다. 그러나 연구현장에서는 국가연구시설장비의 NTIS(National Science and Technology Service) 정보수집 초기단계로 누적정보 부족에 따른 표준분류체계의 과학적 검증절차 부 재와 동일계층 간 분류기준의 비일관성 문제가 여전히 한계로 제기되고 있다. 따라서 본 연구는 지난 2010년, 2015년 각 제/개정된 국가연구시설장비 표준분류체계(대분류 8개, 중 분류 25개, 소분류 410개)의 분류 정확도를 측정하고자 선형판별분석(LDA)과 분산분석(ANOVA) 기법 을 적용하여 2단계로 분석하였다. 또한, 본 연구 분석을 위해 지난 10년 동안 NTIS에 누적 등록된 정 보데이터(Big-Data) 50,271건을 수집하여 이를 활용하였다. 이는 단순히 국내외 유사 분류체계와 전문 가 의견을 토대로 만들어진 現 국가연구시설 표준분류체계를 과학적으로 실증 검증한 첫 연구 사례에 해당된다. 본 연구 결과, 대분류 이하 중분류와 소분류로 분류된 개체 수의 집단별 판별정확도는 92.2% 로 매 우 높은 수준이었고, 분산분석을 통한 사후검증에서는 대분류 8개 중 2개 집단의 변별력이 다소 낮게 나타나, 現 표준분류체계 중 일부 개선이 필요한 것으로 조사되었다. 본 연구를 통해 現 국가연구시설 장비 표준분류체계가 향후 지속적으로 개선되길 바란다.

Recently, research F&E(Facilities and Equipment) have become very important as tools and means to lead the development of science and technology. The government has been continuously expanding investment budgets for R&D and research F&E, and the need for efficient operation and systematic management of research F&E built up nationwide has increased. In December 2010, The government developed and completed a standardized classification system for national research F&E. However, accuracy and trust of information classification are suspected because information is collected by a method in which a user(researcher) directly selects and registers a classification code in NTIS. Therefore, in the study, we analyzed linearly using linear discriminant analysis(LDA) and analysis of variance(ANOVA), to measure the classification accuracy for the standardized classification system(8 major-classes, 54 sub-classes, 410 small-classes) of the national research facilities and equipment established in 2010, and revised in 2015. For the analysis, we collected and used the information data(50,271 cases) cumulatively registered in NTIS(National Science and Technology Service) for the past 10 years. This is the first case of scientifically verifying the standardized classification system of the national research facilities and equipment, which is based on information of similar classification systems and a few expert reviews in the in-outside of the country. As a result of this study, the discriminant accuracy of major-classes organized hierarchically by sub-classes and small-classes was 92.2 %, which was very high. However, in post hoc verification through analysis of variance, the discrimination power of two classes out of eight major-classes was rather low. It is expected that the standardized classification system of the national research facilities and equipment will be improved through this study.

Maize is known as one of the healthiest diets in the world, but its productivity is critically harmed by various diseases, with blight, common rust, and gray leaf spot being the most common. Early and accurate detection of these diseases is challenging. We have developed a CNN-based Sequential Model for disease classification, which aids farmers in applying appropriate treatments. Although maize is a vital global staple, its productivity is often threatened by viral leaf diseases, leading to substantial yield losses. Timely and accurate detection of these diseases is essential for effective crop management. This study introduces a deep neural network (DNN) designed to identify maize leaf diseases—specifically Blight, Gray Leaf Spot, and Common Rust—by extracting complex image features. An attention mechanism helps the model focus on critical image areas, enhancing interpretability and robustness. Validation experiments demonstrate the model's efficiency, confirming its potential as a reliable tool for precision agriculture.

Fuel structure is one of the major determinants in predicting the forest fire danger rating because it is a major factor in forest fire intensity and behavior. This study was conducted to the establishment of a fuel classification system by researching the fuel characteristics in a total of 12 study sites in Gangwon province, South Korea. There were two study sites in Yeongseo, and 10 study sites were in Yeongdong. We researched the fuel amount (kg/m2) separately in the study site by fuel structure in the forest. The fuel structure was divided into three types: surface layer (Duff, Litter, Twigs), shrub layer (the height of less than 2m), and crown layer (the height of 2m or more). As a result of this study, the fuel classification of 12 study sites was divided into three class by the K-means algorithm (Class Ⅰ: Chuncheon 1, Chuncheon 2, and Dogye-eup 1; Class Ⅱ: Jeo-dong 1, Jeo-dong 2, Yucheon-dong 1, Yucheon-dong 4, and Yucheon-dong 5; Class Ⅲ: Yucheon-dong 2, and Yucheon-dong 3).

본 연구는 화학사고를 예방하고 피해 저감 방안 마련을 위해 화학사고 분류체계를 과학적이고 활용도 높게 개선하고자 한다. 이를 위해 국내·외에서 발생한 재난 등 각종 안전사고의 분류현황을 조사하고 화학사고와 관련한 분류 항목과 방법을 적용했다. 또한, 국내에서 발생한 화학사고 사례를 바탕으로 재분석하여 분류체계의 활용성을 검증했다. 개선된 분류체계는 현재의 단편적인 분류체계에서 벗어나 한가지 화학사고를 다각도로 분류하고 심층적으로 분석하기 위해 형태, 원인, 장소, 피해, 시간, 화학물질, 사고설비, 작업내용, 위반사항에 대한 9가지 항목으로 구분했다. 또한, 9개의 대분류 항목을 64개의 중분류로 구분하고, 중분류를 60개의 소분류로 분류하여 세부원인 파악이 가능하도록 구성했다. 본 연구의 결과물을 통해 구체적인 화학사고 통계데이터를 구축할 수 있으며, 이는 화학물질 취급시설과 취급관리 강화 등과 같은 제도개선 및 화학사고 예방대책 수립을 위한 중요한 기초자료가 될 것이다.

This study has established a highly practical classification system to develop measures for reducing chemical accidents. Taxonomy for chemical accident was improved by investigating accident classification statuses domestically and internationally. And analyzed cases of chemical accidents that occurred domestically for validation. To analyze a single incident from multiple perspectives, it was categorized into 9 major classifications: type, cause, place, damage, date, substance, accident facility, work detail, and violations. The 9 items were classified into 64 categories, which were further subdivided into 60 sub-classifications to enable detailed identification of causes. This study is expected to provide important foundations for institutional improvements such as strengthening regulations on chemical handling facilities and management, as well as formulating preventice measures for chemical accidents.

This study was executed as correlation study to investigate the correla-tion between the dimensions of diaphragm movement, and respiratory functions and pressures in accordance with the Gross Motor Function Classification System (GMFCS) levels on children with cerebral palsy as the participants. Forty-three children in the age range of 5–13 years di-agnosed with cerebral palsy as the research participants were divided into three groups (levels I, II, and III) through systematic stratified ran-dom sampling in accordance with their GMFCS levels. Pearson correla-tion analysis was executed to examine the correlation between dimen-sions of diaphragm movement, and respiratory functions and pressures in accordance with the GMFCS levels of the participants. There was no significant correlation between the dimensions of diaphragm move-ment, and respiratory functions and pressures in all of the three groups in accordance with the GMFCS levels of the participants. Therefore, it is deemed that although measurement of the dimensions of diaphragm movement of children with cerebral palsy by using diagnostic ultrason-ic M-mode imaging device can be considered as auxiliary tool in pre-dicting the breathing capabilities, it cannot be used as independent measurement equipment.

Various algorithms and system development are being required to support the advanced decision making of navigation information support system because of a serious loss of lives and property accidents by officer's error like as carelessness and decision faults. Much of researchers have introduced the techniques about the systems, but they hardly consider environmental factors. In this paper, We collect the context information in order to assess the risk, which is considered the various factor of the sailing ship, then extract the features of knowledge context, which is to apply the weight of correlation coefficients among data in context information. We decide the risk after the extract features through the classification and prediction of context information, and compare the value accuracy of proposed method in order to compare efficiency of the weighted value with the non-weighted value. As a result of experience, we know that the method of weight properties effectively reflect the marine environment because the weight accurate better than the non-weighted.

An automatic speech recognition system is one of the popular research problems. There are many research groups working in this field for different language including Japanese. Japanese vowel recognition is one of important parts in the Japanese speech recognition system. The vowel classification system with the Mamdani fuzzy inference system was developed in this research. We tested our system on the blind test data set collected from one male native Japanese speaker and four male non-native Japanese speakers. All subjects in the blind test data set were not the same subjects in the training data set. We found out that the classification rate from the training data set is 95.0 %. In the speaker-independent experiments, the classification rate from the native speaker is around 70.0 %, whereas that from the non-native speakers is around 80.5 %.

In outdoor optical wireless communication systems, weather-induced turbulence affects optical signals, resulting in distortion, thereby, degradation in communication performance. The channel model including turbulence is used for estimating the performance of optical wireless communication system under turbulence. A deep learning algorithm is developed to classify degree of turbulence. This study is based on channel classification using a convolutional neural network for a 4-PSK optical wireless communication system. The channel characteristics are generated following the gamma-gamma distribution. By labeling each data point and distorted constellation for different degrees of turbulence, the deep learning model is trained, and its classification performance is evaluated.

본 연구는 Jenks Natural Breaks 기법을 사용하여 자연재난에 대한 전국 격자기반의 잠재적 재해위험도 평가체계를 구축한다. 각 대상체별 잠재적 위험 요소인 노출지표 및 취약지표를 구성하여 총 9개의 대상체인 인구, 공업 시설, 공용 시설, 교육 연구 시설, 의료 복지 시설, 편의 시설, 농업, 축산업, 도로에 대해 평가한다. 모든 지표는 전국 대상의 국가지점번호 격자단위인 107,555개의 데이터로 구축하였고, 각 대상체별로 Jenks Natural Breaks 기법을 적용하여 Level 1부터 Level 4까지의 총 4단계의 잠재적 재해위험도 평가 기준을 산정하였다. 또한 도출된 평가 지표 및 평가 기준을 활용하여 전국의 9개의 대상체에 대한 잠재적 재해위험도를 평가하였다. 이를 바탕으로 우리나라에서 발생하는 자연재해 위험 영향 평가를 수행할 수 있는 체계를 마련하였으며, 향후 격자기반의 잠재재난위험영향 산정 등과 같은 추가적인 연구를 진행할 수 있는 가능성을 발견하였다.

This paper proposes a disaster risk assessment system for the natural disaster with Jenks Natural Breaks Classification. The exposure indicators and vulnerability indicators are organized to disaster risk factors for the each receptors. The receptors evaluated the risk assessment are 9 and composed of people, industry, public facilities, educational and research facilities, medical and welfare facilities, amenity facilities, agriculture, livestock industry, and roads. All indicators are composed of 107,555 grid-based data having the codes of the region in the country. With Jenks natural breaks classification, the disaster risk assessment criteria for each receptors were presented per the disaster risk grade (Level 1 ~ Level 4). All of the criteria were evaluated with the grid-base data per the receptors and the evaluated results were presented by the maps of Korea. Through this study, the disaster risk assessment criteria can be used as the reference and forecasting for the natural disaster in Korea.

Technological innovations over the years have accentuated the workings in corporate- connected organizations and different application platforms. Hence, a unified management information system (MIS) that can utilize the Web and propel programming developments is required. Software agents, the latest developments in computer software technology, can be utilized to rapidly and effortlessly build integrated information systems. Consequently, 59 research papers on the use of software agents in MIS were identified from top 40 MIS journals published between 2007 and 2017. Then, we reviewed and classified all the research papers according to two categories: application fields and application categories. The application fields consisted of eight sub-groups: manufacturing, telecommunication systems, traffic and transportation management, information filtering and gathering, electronic commerce, business process management, entertainment, and medical care; whereas the application categories consisted of three sub-groups: multi-agent systems, personal assistants, and multi-agent simulation. The research papers were further divided into journal and year of publication, and journal and application field. The objective of our research was to understand the trend of the use software agent technology in MIS by examining the published research paper beside to add knowledge and content to the information system academic discipline.

그리스도교가 이 땅에 뿌리를 내린지도 200년이 넘어 불교, 유교와 함께 우리 정신문화의 소중한 일부가 되었다. 이 은총 의 역사 안에 한국 천주교회는 건축을 비롯하여 유물, 미술품 등 다양한 문화유산을 보유하고 있다. 그동안 교회사연구소, 성지, 박물관을 통해 수집, 발굴 보존하고 있는 양도 상당하지만 어쩌면 더 많은 유산들이 빛을 보 지 못하고 숨어 있거나 멸실 위기에 처해 있을 수도 있을 것이다. 그중 성당건축 등 부동산은 문화재로 지정 등록되거나 재산가치로 보호되고 있으나, 서적류와 전적류, 유품 등 동산유물은 역사자료와 신앙의 증거로만 취급되고 있을 뿐 문화 유산으로서 체계적으로 보호, 관리가 이루어지지 못하고 있다. 21세기 들어 교황청을 비롯하여 세계 선진 여러 나라들은 문화유산의 중요성과 보존에 특별한 관심을 보여주고 있으며, 정부에서도 등록문화재 제도를 도입하여 교회 문화유산이 속한 근대문화 유산의 보존에 적극적인 정책을 수립 시행하고 있다. 한국천주교회도 《한국 천주교 문화유산 보존관리지침》(주교회의, 2009)을 발간하여 교회내 문화유산에 대한 체계 적인 보존관리의 가이드 라인을 제시하였다. 그러나 각 교구와 본당차원에서 이를 활용하여 기록하고 목록화한 사례는 거 의 없다. 그 이유 중 하나는 문화재청이나 일반 박물관과 연계될 수 있는 분류체계가 정립되어 있지 않기 때문이다. 동산유물은 과학기술의 발달, 사회전반의 급격한 변동, 생활양식의 변화 등으로 퇴출, 멸실되거나 도난, 유출 및 훼손 등 의 위험성이 크고, 실제로 이러한 상황이 빠르게 진행되고 있다. 근대문화유산은 전통문화유산과 달리 그 분야와 유형이 매우 다종다양하여 일시에 전수를 파악하는 것이 불가능하며, 아직 분류체계도 정립되어 있지않다. 교회유산의 기록화와 목록화를 위해서는 합리적인 분류체계의 정립이 필요하다. 따라서 본 연구는 다양한 근대동산문화 유산의 합리적이고 체계적인 보존과 관리를 위해 ① 근대동산문화재의 총체적 분류체계(안)를 제시하고, ② 그 체계 안에 서 천주교 동산문화유산의 분류방안을 제안하고자 한다. 연구결과 다음과 같은 분류체계의 기준 및 기본원칙하에“근대 동산문화재의 총체적 분류체계(안)”을 제시하였다. 첫째, ‘대’분류체계는 중앙정부 기능분류체계(BRM)를 모델로 한다. 둘째, 국제적인 분류체계와 범위 등과 연계될 수 있도록 한다. 셋째, 기존의 국공립 및 사립 박물관의 유물분류체계와 연계되도록 한다. 넷째, 국제적으로 사용되는 분류 용어 사용과 동산문화유산에 대한 정의는 공감될수 있도록 한다. 다섯째, ‘대’ ‘중’ ‘소’ 분류에 대한 일정한 기준과 원칙을 수립한다. 또한 이러한 원칙과“근대 동산문화재의 총체적 분류체계(안)”의 틀 안에서 천주교(소분류)의 세분류 및 세세분류를 제안 하였다.

In order to conserve and supervise the modern cultural properties systematically, in this study, ① We investigated the case studies at home and abroad, and ② examined the status of Catholic museum(Relic exhibition) and the classification of those relic, ③ proposed the overall classification system of modern movable properties, and Catholic cultural propertiesWe analyzed the classification systems of National Museum of Korea, The National Archives, Cultural Heritage Administration of Korea, and Secretary of State as domestic case, and those of Japan, Australia, United Kingdom, China, Etc. as overseas case. And we proposed the direction and method of classification through theoretical analyzing of classification. And under the overall classification system of modern movable properties, we proposed the classification plan of Catholic cultural properties. The basic principles we proposed are as the following :At first, Large classification system is followed the Business Reference Model(BRM) of the central government. Secondly, it should be able to link up to International classification systems. Thirdly, it should be able to link up to the existing national, public and privatemuseums. At fourth, the terminology and definition of classification of the movable cultural properties should have the commonality with the international community. At fifth, certain standard and principle should be established.

In this study, we reviewed the literature regarding the classification system for patients with neck pain and matched treatment based on this system to identify the categories of neck pain, criteria or tests for categorizing neck pain, and matched treatments for each category. Studies published from 2000 to 2014 that used pre-post control group designs to develop and apply classification systems to experimental group participants with neck pain were identified based on searches of the Scopus database. Four articles were included in this study. A total of seven categories emerged from these four studies. Each study categorized neck pain based on different criteria, such as the location and presumed source of symptoms, sign and symptoms, and treatment goals. The classification systems for neck pain and matched treatments for each of these categories were determined based on evidence from peer-reviewed literature, clinical experience, and expert opinion. Adopting a classification system for patients with neck pain would help practitioners to systematically apply individualized treatment, and provide data for researchers to design more effective interventions to decrease neck pain.

우리나라 사무구분체계에는 많은 문제점이 있다. 국가사무의 과다, 위임사무에 의한 국가통제, 현실상 사무구분의 모호, 재정적 조치의 불충분 등이 그것이다. 본고는 이러한 문제점을 해결하기 위하여 새로운 사무구분체계의 도입을 주장한다. 이를 위해 우선 외국의 사무구분체계를 알아본 후, 이에 대한 가능한 대안들을 검토한다. 그 결과, 일본의 법정수탁사무와 유사한 법정수임사무(가칭)가 현실적으로 우리나라가 도입하기에 가장 현실적인 대안임을 언급한다. 그리고 구체적인 법정수임사무의 도입방안 및 그에 따른 쟁점들을 정리한다. 만약 새로운 사무구분체계가 도입된다면 우리나라는 분권화된 사회로 한 발짝 다가가게 될 것이다.

The classification system of public affairs South Korea government employs have several problems the excess of central government affairs, implicit central control over the consigned affairs, the ambiguous classification of public affairs in frontline work place, insufficient financial support for the consigned affairs etc. This study is designed to find the solution to these problems in the classification of public affairs and to give some implications about the new classification system of public affairs. The main body of the study reviews the classification systems of public affairs in other countries and compares some alternatives to the old classification system in Korea. Of those alternatives, the best and plausible one is the legal delegation system of administrative authority 'legal delegation system(tentatively named)' of administrative authority. This new classification system is similar to the legal consignment system of the public affairs the government of Japan employs. The study finally suggests a roadmap for and some issues in the introduction of the legal delegation system. The new classification system of public affairs will make a meaningful contribution to the maturity of the decentralized government system in South Korea, I expect.

목적: 본 연구의 목적은 현재의 한국형 환자분류체계(Korean Patient Classification System-1, KPCS-1)를 간호요구도 예측을 위한 유의미한 문항들로 최소화하고, 간호요구도 측정결과를 중증도와 의존도의 2가지 영역으로 나누어 환자를 유형화할 수 있는지를 탐색하는 것이다. 방법: 본 연구의 대상은 일개 상급종합병원의 외과 병동 2개, 내과 병동 2개에서 14일의 조사 기간 동안 재원한 환자 전체이다. 14일 동안 해당 병동에 입원한 전체 환자에 대해 매일 1회씩 한국형 환자분류체계을 평가하여 총 411명의 환자의 자료 2,082건을 분석하였다. 결과: 각 문항별로 총점기여도 평가와 전문가 검토를 하여 50개 문항을 26개 문항으로 단축하였다. 요인분석을 하여 위생, 식이, 배설, 운동 영역이 의존도 요인으로 묶이는 것을 확인하였다. 군집분석을 통해 중증도와 의존도가 둘 다 낮은 환자(평균 점수: 7.68±2.81/1.05±1.33), 중증도 높고 의존도 낮은 환자(평균 점수: 17.20±4.15/1.94±2.40), 중증도는 중간이고 의존도가 높은 환자 (평균 점수: 13.56±5.30/9.66±2.64)로 유형화하였다. 세 그룹의 간호요구도 총점은 8.73±3.36, 19.14±5.74, 23.24±6.31 이었고 통계적으로 유의한 차이를 보였다(F=1712.12, p<.001). 결론: 한국형 환자분류체계의 문항단축과 중증도와 의존도에 따른 새로운 환자분류기준은 실무에서의 활용성을 높이고 구체적인 인력배치기준에 유용할 것이다.

Purpose: The purpose of the study was to shorten theKorean Patient Classification System-1, KPCS-1 for predicting nursing care need level and to explore whether the patients can be clustered by their acuity and dependency. Methods: The participants were inpatients in two surgical wards and two internal medicine wards at a teritory hospital during 14 days investigations. The KPCS-1 was evaluated once a day for all inpatients and 2,082 cases of data from a total of 411 patients were analyzed. Results: The items were reducted from 50 items to 26 items by partial least squares analysis and expert review. Through factor analysis, it was confirmed that hygiene, diet, elimination, and exercise were categorized as dependence factors. Patients were clustered with low acuity/low dependency (average score: 7.68±2.81/1.05±1.33), high acuity/low dependency (average score: 17.20±4.15/1.94±2.40), medium acuity/high dependency (average score: 13.56±5.30/9.66±2.64) through cluster analysis. The total score of the three groups for their nursing care needs was 8.73±3.36, 19.14±5.74, and 23.24±6.31 in order, and the results showed a statistically significant difference (F=1712.12, p<.001). Conclusion: The shortening of the KPCS-1 and the new criteria for categorizing patients according to acuity and dependence will increase clinical utility and be useful for manpower assignment criteria in detail.

Purpose: The purpose of this study was to examine the effects of pressure ulcer classification system education on hospital nurses’ knowledge and visual discrimination ability of pressure ulcer classification system and incontinence-associated dermatitis. Methods: One group pre- and post-test was used. A convenience sample of 96 nurses participating in pressure ulcer classification system education, were enrolled in single institute. The education program was composed of a 50-minute lecture on pressure ulcer classification system and case-studies. The pressure ulcer classification system and incontinence-associated dermatitis knowledge test and visual discrimination tool, consisting of 21 photographs including clinical information were used. Paired t-test was performed using SPSS/WIN 18.0. Results: The overall mean difference of pressure ulcer classification system knowledge (t=4.67, p<.001) and visual discrimination ability (t=10.58, p<.001) were statistically and significantly increased after pressure ulcer classification system education. Conclusion: Overall understanding of pressure ulcer classification system and incontinence-associated dermatitis after pressure ulcer classification system education was increased, but tended to have lack of visual discrimination ability regarding stage III, suspected deep tissue injury. Differentiated continuing education based on clinical practice is needed to improve knowledge and visual discrimination ability for pressure ulcer classification system, and comparison experiment research is required to evaluate its effects.