• Title/Summary/Keyword: Route Calculation

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Analysis of Factors Affecting Length Of Stay for A Serious Patients Using Medical Records (의무기록자료를 이용한 중증질환자의 재원일수에 미치는 요인 분석)

  • Kim, Seok Hwan;Lee, Jung A
    • The Journal of Korean Society for School & Community Health Education
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    • v.20 no.2
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    • pp.69-80
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    • 2019
  • Objectives: In this study, we tried to analyze the factors affecting Length Of Stay for serious patients in Republic of Korea. Methods: The study included 139,172 serious patients in the 2012-2016 discharge details. Using the SPSS 23.0 program, we conducted a rank regression analysis with social and social demographic characteristics as control variables, medical institution characteristics and medical use characteristics as independent variables, and Average Length Of Stay as a dependent variable. Results: Average Length Of Stay for participants was found to be 9.92days. And the location and bed size of medical institutions were not statistically significant, the hospitalization path was more urgent(B=0.43) than the outpatient (p<0.001), and there was no secondary diagnosis(B=0.35). However, Average Length Of Stay was higher (p<0.001) than there was no main surgery(B=0.80). After discharge, Average Length Of Stay for funding(B=0.43) and death(B=0.72) was long (p<0.001). Average Length Of Stay for participants was found to be 9.92days. And the location and the bed size of the medical institution were not statistically significant, and the hospitalization pass had longer Length Of Stay for emergency patients(B=0.43) than for outpatients(p<0.001). There was a longer Length Of Stay(B=0.35) than none was diagnosed. There were longer Length Of Stay(p<0.001) than there was no major surgery(B=0.80). After discharge, the outpatients had longer Average Length Of Stay(B=0.43) and deaths(B=0.72) than those who returned home(p<0.001). Conclusion: As a result of analyzing the factors affecting Average Length Of Stay of the participants, it was confirmed that regardless of the location and bed size of medical institutions, hospitalization route, department diagnosis, main surgery, and whereabouts after discharge. Therefore, appropriate interventions and necessary support must be provided so that efficient Length Of Stay can be managed according to the medical use characteristics of serious patient.

Research on Longitudinal Slope Estimation Using Digital Elevation Model (수치표고모델 정보를 활용한 도로 종단경사 산출 연구)

  • Han, Yohee;Jung, Yeonghun;Chun, Uibum;Kim, Youngchan;Park, Shin Hyoung
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.20 no.6
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    • pp.84-99
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    • 2021
  • As the micro-mobility market grows, the demand for route guidance, that includes uphill information as well, is increasing. Since the climbing angle depends on the electric motor uesed, it is necessary to establish an uphill road DB according to the threshold standard. Although road alignment information is a very important element in the basic information of the roads, there is no information currently on the longitudinal slope in the road digital map. The High Definition(HD) map which is being built as a preparation for the era of autonomous vehicles has the altitude value, unlike the existing standard node link system. However, the HD map is very insufficient because it has the altitude value only for some sections of the road network. This paper, hence, intends to propose a method to generate the road longitudinal slope using currently available data. We developed a method of computing the longitudinal slope by combining the digital elevation model and the standard link system. After creating an altitude at the road link point divided by 4m based on the Seoul road network, we calculated individual slope per unit distance of the road. After designating a representative slope for each road link, we have extracted the very steep road that cannot be climbed with personal mobility and the slippery roads that cannot be used during heavy snowfall. We additionally described errors in the altitude values due to surrounding terrain and the issues related to the slope calculation method. In the future, we expect that the road longitudinal slope information will be used as basic data that can be used for various convergence analyses.

Calculation of the Theoretical Total Amount Ratio of Di(2-ethyl-hexyl) Phthalate in Indoor Air and Floor Dust in a Test House (모의 실험주택 모니터링 결과를 활용한 실내공기 및 바닥먼지 중 Di(2-ethyl-hexyl) phthalate (DEHP)의 이론적 총량 비율 산출)

  • SaHo Chun;Khawon Lee;SeungJung Kim;SeungPyo Jung;DaYoung Kang;Ki-Tae Kim
    • Journal of Environmental Health Sciences
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    • v.49 no.6
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    • pp.324-333
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    • 2023
  • Background: Human exposure to phthalates in indoor environments occurs via dermal absorption, oral ingestion of indoor dust, and inhalation of indoor air. However, systematic studies to investigate the exposure rate to phthalates among the three exposure routes in indoor environments are currently limited. Objectives: A theoretical exposure ratio between inhalation and oral exposure was calculated based on the total amount of di(2-ethyl-hexyl) phthalate (DEHP) emitted into indoor air and deposited into floor dust in a test house. Methods: Flooring and wallpaper containing DEHP were installed in a test house and the concentration of DEHP in both indoor air and floor dust were monitored for five months. Based on the measured DEHP concentrations, the theoretical total amount ratio of DEHP that could be exposed through inhalation and oral ingestion was calculated. Results: Considering the period of operation in the test house, the theoretical total amount of DEHP through inhalation and oral ingestion exposures in the entire test house space was calculated to be 0.014 mg and 5.5 mg, respectively. The exposure ratio of the two routes between inhalation and oral exposure corresponding to the total DEHP amount in flooring and wallpaper was 6.0×10-7% and 2.3×10-4%, indicating that theoretical oral exposure to DEHP is approximately 380 times higher than inhalation. Conclusions: Monitoring results from a test house has shown that oral exposure is the main exposure route for DEHP in indoor environments. The experimental design employed in this study and theoretical exposure ratio obtained can be applied to investigate actual exposure to DEHP and to determine the exposure characteristics of various types of semi-volatile organic compounds.

A Study on the recognition and Attitude of Home Health Nursing System (가정간호사 제도에 대한 인식 및 태도 조사연구)

  • Lee Sung Ja
    • Journal of Korean Public Health Nursing
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    • v.12 no.1
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    • pp.132-146
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    • 1998
  • This Study was attempted to provide the basic data necessary in the development and introduction of Home Health Nursing System by investigating the recognition and attitude level of Home Health Nursing System. The data were collected by means of questionaires presented to 74 patients who had been admitted in C general hospital in Chon Ju, from June 30, 1997. As the tool for this study, the questionares developed by Kim Yong. Soon, et al (1990) and Han Bok Hee(1993) were modified and supplemented for the aim of this study. The computer was used for data analysis. The items about the charateristics of the subjects and the attitude to the management plan of Home Health Nursing System were represented as the frequency and percentage. The standard deviation and calculation average were produced on the items related to definition, recognition, necessity, expected effect of the attitude of Home Health Nursing System and the items related to admission. The ANOVA test was .used according to the characteristics of variables to analyze the necessity and difference of Home Health Nursing System. The results of this study were as follows 1) The general characteristics of the subjects were as follows ; for sex, man, $58.1\%$ ; for age, 50-59 years, $29.7\%$ ; for the level of education, high school, $51.4\%$ ; $79.7\%$ of them were married; for the family forms, small family, $73.0\%$ ; and $68.9\%$ of them take the monthly income over 100 million won. 2) The characteristics related to admissions of the subjects were as follows ; for clinic, surgical department, $78.4\%$ ; addmission not more then 7days, $47.3\%$ ; for the operation-performance $71.6\%$ of them were experienced; for the admission route, via outpatients clinic, $54.1\%$ ; for waiting period to the admission day, 1-2 days, $71.6\%$. 3) The difficulties comming from the hospitalization were related mostly to the factor that they felt hospital life more inconvenient than home.(3.66) The reasons for the difficulties in the admission which was due to insufficient beds in the hospital was related to the concentration to the general hospital because of 'The Whole National Medical Insurance System'(4.05). 4) On the previous informations about the Home Health Nursing System, those who have heard of only the name were 42 $(56.8\%)$, and on the recognition of it, they thought that it is periodic treatment by the licenced nurses for the recovering pateints after early discharge(3.73). On the attitude about the necessity of Home Health Nursing System, they thought that it is necessary because of the increasing trend of a psychological disease by the change of environment and complexity of the social structure(4.24). On the expected effect of Home Health Nursing System, they answered that it is convinient for the family of the patient to take care of them(4.l8). 5) On the attitude to the management plan of the Home Health Nursing System, those who had intention to participate in the system in the case of systemic support were 42(56.8). In the visiting time, 'visit periodically' and 'visit when the patient needs' were $28(37.8\%)$ respectively. For the application of medical insurance, if possoble, they will use $(91.9\%)$; for the method of payment for the treatment, 'pay by the time required' was $23(31.1\%)$, for the subject of management, 'National public institute must operate' was $33(44.6\%)$. 6) The relationship between the general characteristics of the subjects and the necessity of Home Health Nursing System showed the notable difference in the age (F=3.508, P<0.05) and marrage state (F=5.402, P<.023).

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