• 제목/요약/키워드: World Health Organization (WHO)

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국민건강증진을 위한 담배사업 규제정책의 동향과 타당성 검토 -미국, '가족 흡연 예방 및 담배규제 법'(Family Smoking Prevention and Tobacco Control Act)을 중심으로- (A Study on Trends and Validities of Regulation Policy of the Tobacco Industry for the National Health Promotion - Focusing on U.S. Family Smoking Prevention And Tobacco Control Act -)

  • 최호영;송기민
    • 의료법학
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    • 제12권2호
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    • pp.317-338
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    • 2011
  • The World Health Organization (WHO) tries to accomplish the goal of 'smoke free society', and developed countries regard the nicotine as an addictive drug. In order to better protect human health, all parties are required to adopt and implement effective legislative, executive, administrative or other measures for tobacco control in accordance with Article 4 the Framework Convention on Tobacco Control (FCTC). In order to achieve the objective of the FCTC and its protocols and to implement its provisions, Korea need to take an attention on the U.S. Family Smoking Prevention And Tobacco Control Act of 2009 and Final Rule. It is need to integrate and centralize of tobacco safety administration and smoking prevention for the national health promotion.

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초점집단토론을 통한 국제의료행위분류의 한의의료행위 적용 방안 연구 (Exploring the Ways to Apply Korean Traditional Medical Practices to the International Classification of Health Interventions through Focus Group Discussion)

  • 김미경;김은진;조윤정;한창호
    • 대한한의학회지
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    • 제41권3호
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    • pp.125-137
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    • 2020
  • Objectives: This study was aimed to present the experts' opinions for the successful application of Korean traditional medical practices (KTMPs) to the International Classification of Health Intervention (ICHI). Methods: Two doctors of Korean Medicine and two health information managers who had tried coding 131 KTMPs using ICHI participated in the focus group discussion. The remarks from the discussion were summarized according to the thematic analysis method. Results: The participants expected ICHI to be mainly used for statistics when applied to TKMPs. It can be used for payment systems as well, but it was expected that additional work would be required. They thought the current version of the ICHI did not sufficiently reflect the KMTPs of the real world, and even the interventions already included in the ICHI were not explained enough in the system. They thought it would not be easy to explain more KTMPs within the current structure of the ICHI, but they also said it seemed possible. In the process, rather than adding entirely new stem codes, it would be better to generate new combinations of the existing codes, to suppose subdivided codes, and to utilize the include terms or extension codes. Conclusions: For the successful introduction of ICHI, clarifying the definition of each intervention of KTMPs is a top priority. In addition, it is necessary to continue the matching work of ICHI - KMPTs and also required to make this effort together with the field of traditional medicine and complementary medicine worldwide.

Investigating Non-Laboratory Variables to Predict Diabetic and Prediabetic Patients from Electronic Medical Records Using Machine Learning

  • Mukhtar, Hamid;Al Azwari, Sana
    • International Journal of Computer Science & Network Security
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    • 제21권9호
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    • pp.19-30
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    • 2021
  • Diabetes Mellitus (DM) is one of common chronic diseases leading to severe health complications that may cause death. The disease influences individuals, community, and the government due to the continuous monitoring, lifelong commitment, and the cost of treatment. The World Health Organization (WHO) considers Saudi Arabia as one of the top 10 countries in diabetes prevalence across the world. Since most of the medical services are provided by the government, the cost of the treatment in terms of hospitals and clinical visits and lab tests represents a real burden due to the large scale of the disease. The ability to predict the diabetic status of a patient without the laboratory tests by performing screening based on some personal features can lessen the health and economic burden caused by diabetes alone. The goal of this paper is to investigate the prediction of diabetic and prediabetic patients by considering factors other than the laboratory tests, as required by physicians in general. With the data obtained from local hospitals, medical records were processed to obtain a dataset that classified patients into three classes: diabetic, prediabetic, and non-diabetic. After applying three machine learning algorithms, we established good performance for accuracy, precision, and recall of the models on the dataset. Further analysis was performed on the data to identify important non-laboratory variables related to the patients for diabetes classification. The importance of five variables (gender, physical activity level, hypertension, BMI, and age) from the person's basic health data were investigated to find their contribution to the state of a patient being diabetic, prediabetic or normal. Our analysis presented great agreement with the risk factors of diabetes and prediabetes stated by the American Diabetes Association (ADA) and other health institutions worldwide. We conclude that by performing class-specific analysis of the disease, important factors specific to Saudi population can be identified, whose management can result in controlling the disease. We also provide some recommendations learnt from this research.

An Ensemble Classification of Mental Health in Malaysia related to the Covid-19 Pandemic using Social Media Sentiment Analysis

  • Nur 'Aisyah Binti Zakaria Adli;Muneer Ahmad;Norjihan Abdul Ghani;Sri Devi Ravana;Azah Anir Norman
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제18권2호
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    • pp.370-396
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    • 2024
  • COVID-19 was declared a pandemic by the World Health Organization (WHO) on 30 January 2020. The lifestyle of people all over the world has changed since. In most cases, the pandemic has appeared to create severe mental disorders, anxieties, and depression among people. Mostly, the researchers have been conducting surveys to identify the impacts of the pandemic on the mental health of people. Despite the better quality, tailored, and more specific data that can be generated by surveys,social media offers great insights into revealing the impact of the pandemic on mental health. Since people feel connected on social media, thus, this study aims to get the people's sentiments about the pandemic related to mental issues. Word Cloud was used to visualize and identify the most frequent keywords related to COVID-19 and mental health disorders. This study employs Majority Voting Ensemble (MVE) classification and individual classifiers such as Naïve Bayes (NB), Support Vector Machine (SVM), and Logistic Regression (LR) to classify the sentiment through tweets. The tweets were classified into either positive, neutral, or negative using the Valence Aware Dictionary or sEntiment Reasoner (VADER). Confusion matrix and classification reports bestow the precision, recall, and F1-score in identifying the best algorithm for classifying the sentiments.

Improving the Standards of Midwifery Education and Practice and Extending the Role of a Midwife in Korean Women and Children′s Health Care

  • Lee, Kyung-Hye
    • 대한간호학회지
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    • 제33권8호
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    • pp.1111-1118
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    • 2003
  • Background. A midwife is a medical professional who has a nursing license, and is also licensed as a midwife with one additional year of education. In this globalization era, a midwife's role is increasing in importance for women and children's health care worldwide. Purpose. The primary purpose was to analyze midwifery education programs in Korea and other nations. The secondary purpose was to define strategies to improve midwifery education and practice, and to extend the role of a midwife women and children's health care in Korea. Methods & Results. 1) The definition of a midwife and midwifery practice recognized internationally by World Health Organization (WHO) and International Council of Nurse Midwives (ICNM) was identified. 2) Midwifery education programs of Korea, U.S.A., Sweden, Australia, and Japan, were investigated and discussed. 3) Core competencies for the basic midwifery practice suggested by ACNM of the U.S.A. were reviewed as standard of midwifery practice. 4) As for the midwifery education system, a Masters degree program in a college of nursing is suggested. 5) The role of a midwife includes not only health care of childbirth women and newborn babies, but also a lifelong health care of women as well as her family and children. Conclusion. An effort to extend the midwife's role and to improve service is imperative. The Laws/Acts related to midwives should be revised in regard to education, and practices, and the national examination for midwifery licensure needs revision to qualify for international approval. Also, midwifery curriculum and standards of practice need to be evaluated periodically, and an effective system needs to be established to renew midwife licenses.

Oral Lichen Planus and Oral Lichenoid Lesion: Diagnosis and Assessment of Direct Immunofluorescence

  • Lee, Kyung-Eun
    • Journal of Oral Medicine and Pain
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    • 제41권3호
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    • pp.91-98
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    • 2016
  • Purpose: Oral lichen planus (OLP) has generated many discussions and been associated with much controversy for a long time. A reliable diagnosis of OLP has proven challenging and significant disagreements concerning its diagnosis has continued. Therefore, the aim of this study was to apprehend newly proposed diagnostic criteria of OLP and oral lichenoid lesion (OLL) and to evaluate difference of final diagnosis of OLP and OLL in accordance with type of diagnostic criteria. Also, direct immunofluorescence (DIF) was compared to evaluate the value of DIF between two groups. Methods: Fifty-two patients with DIF result were retrospectively reviewed. The selected patients were classified by the modified World Health Organization (WHO) diagnostic criteria of OLP and OLL and by criteria proposed by American Academy of Oral and Maxillofacial Pathology (AAOMP). Results of DIF in OLP and OLL were classified by deposition intensity or pattern of fibrinogen. The classification of fluorescence pattern in each specimen was graded as positive, possibly positive or negative. Results: Patients diagnosed as OLP were a few more when the modified WHO diagnostic criteria were used than when criteria proposed by AAOMP were used. There was no statistical difference of DIF between OLP and OLL by applying the WHO modification criteria or criteria proposed by AAOMP. Conclusions: The final diagnosis of OLP could be changed in accordance with type of diagnostic criteria and difference of DIF between OLP and OLL was not found.

Comparison of Predictive Value of Obesity and Lipid Related Variables for Metabolic Syndrome and Insulin Resistance in Obese Adults

  • Shin, Kyung A
    • 대한의생명과학회지
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    • 제25권3호
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    • pp.256-266
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    • 2019
  • In this study, obese adults were compared for their ability to predict obesity and lipid related variables and their optimal cutoff values to predict metabolic syndrome and insulin resistance. In this study, 9,256 adults aged 20 years or older and less than 80 years old, who were in the Gyeonggi region from January 2014 to December 2016 and who were examined at a general hospital, were enrolled. The diagnostic criteria for obesity were WHO (World Health Organization), and BMI $25kg/m^2$ or more presented in the Asia-Pacific region. Metabolic syndrome was diagnosed based on the criteria of American Heart Association / National Heart, Lung, and Blood Institute (AHA / NHLBI). According to the results of receiver operating characteristic curve (ROC) analysis, Triglyceride / HDL-cholesterol (TG / HDL-C), Triglyceride and Glucose (TyG) index, lipid accumulation product (LAP) and visceral adiposity index (VAI) showed high predictive power for diagnosing metabolic syndrome. The diagnostic accuracy of LAP (AUC: 0.854) for males and VAI (0.888) for females was the highest. The optimal cutoff value of LAP was 42.71 for male and 35.44 for female, and the cutoff value of VAI was 1.92 for male and 2.15 for female. In addition, WHtR (waist to height ratio), TyG index, and LAP were used as predictors of insulin resistance in obese adults. Therefore, LAP and VAI were superior to other indicators in predicting metabolic syndrome in obese adults.

지역사회 거주 중년 여성 집단에서 건강증진 행위와 삶의 질: 과체중 집단과 정상체중 집단 간 비교 (Health-Promoting Behavior and Quality of Life among Community-Dwelling, Middle-Aged Women: A Comparative Study between Overweight and Normal-Weight Groups)

  • 양화미;추진아;김혜진
    • Korean journal of health promotion
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    • 제18권4호
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    • pp.159-168
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    • 2018
  • 연구배경: 중년기 여성은 젊은 여성에 비하여 과체중과 비만의 유병률이 높으며, 특히 여성이 남성에 비하여 비만과 관련된 건강관련 삶의 질이 나쁘다고 알려져 있다. 이에 건강관련 삶의 질에 취약한 과체중 중년 여성의 건강관련 삶의 질을 전략적으로 개선하는 것이 중요하겠다. 건강증진 행위는 건강관련 삶의 질과 밀접한 연관성이 있을 수 있다. 이에 본 연구는 과체중 중년 여성이 정상체중의 중년 여성에 비하여 건강증진 행위와 건강관련 삶의 질이 낮은지를 조사하고, 과체중 중년 여성에서 건강증진 행위가 일반적(generic) 혹은 비만특이적(obesity-specific) 건강관련 삶의 질과 유의한 연관성이 있는지 밝히고자 한다. 방법: 본 연구는 횡단적 비교 연구이다. 서울시 성북구에 거주하는 30-49세 중년 여성 119명을 대상으로 하였으며, 과체중군은 63명이고 정상체중군은 56명이었다. 건강증진 행위는 Health Promoting Lifestyle Profile II (HPLP II) 도구를 사용하여 측정하였다. 일반적 건강관련 삶의 질은 World Health Organization Quality of Life-brief version(WHOQOL-BREF)을 사용하였으며, 비만특이적 건강관련 삶의 질은 Impact of Weight on Quality of Life-Lite(IWQOL-Lite)를 사용하였다. 과체중군과 정상체중군 간의 건강증진 행위와 건강관련 삶의 질 차이를 분석하기 위하여 일반선형모델을 수행하였고, 과체중군 안에서 건강증진 행위와 건강관련 삶의 질과의 연관성은 다중회귀분석을 시행하였다. 결과: 과체중군은 정상체중군에 비하여 건강증진 행위의 스트레스 관리(P=0.029)를 포함하여 영양(P=0.004)과 신체활동(P=0.006)의 하부영역에서 유의하게 낮은 점수를 보였다. 또한 과체중군은 정상체중군에 비하여 일반적 건강관련 삶의 질 총점(P<0.001)과 비만특이적 건강관련 삶의 질 총점이 유의하게 낮았다(P<0.001). 더욱이, 과체중군에서 건강증진 행위 하부영역 중 스트레스 관리 점수가 높을수록 일반적 건강관련 삶의 질 총점이 높고(${\beta}=1.58$, P=0.003), 비만특이적 삶의 질 영역 중 자아존중감 점수가 유의하게 높았다(${\beta}=11.58$, P=0.034). 결론: 중년기 과체중 여성이 정상체중 여성과 비교하여 특히 건강증진 행위 중 스트레스 관리의 수준이 낮은 것으로 나타났다. 이에, 지역사회 중년기 과체중 여성의 일반적 혹은 비만과 관련된 건강관련 삶의 질 개선을 위해서는 스트레스 관리의 전략적 접근이 무엇보다 중요하겠다.

국제표준 기반의 임상정보 관리체계 구축에 관한 연구 (A Study on System for International Standard(IS) based Clinical Information Management)

  • 최용정
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2014년도 제49차 동계학술대회논문집 22권1호
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    • pp.429-432
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    • 2014
  • 국내 제약산업의 경쟁력을 제고시키기 위해서는 신약의 심사/허가 기간을 단축시켜 급변하게 변하는 글로벌 제약시장에서 경쟁 우위적 위치를 선점할 수 있도록 기회를 제공할 수 있도록 체계 개선이 시급하다. 신약허가를 위해서는 임상시험 결과에 대한 안전성과 유효성 등에 대한 심사가 수행되게 된다. 하지만 현재 신약허가를 위해서 제약사와 임상시험수탁기관(Contract Research Organization, CRO)에서 데이터 정보체계인 Domain, Variable 및 Parameter 등의 표준을 따르지 않고 다양한 유형의 임상정보데이터를 심사기관에 제출하고 있어 이로 인한 심사기간 증가와 심사업무 비효율성을 야기시키고 있다. 따라서 본 연구에서는 국제민간기구인 CDISC (Clinical Data Interchange Standards Consortium)에서 제정한 글로벌 임상데이터 표준인 CDISC 표준을 준용한 국내 임상시험정보관리 체계 (eCTD 시스템)및 의약품 전주기적 관리체계를 제시하고자 하며, 본 연구를 통한 기대효과로는 국제표준의 임상정보관리 인프라 구축으로 인한 국내 신약개발 및 해외 진출 환경을 마련하여 글로벌 시장선점의 기회를 제공할 수 있고, 규제기관 차원에서는 의약품 허가, 심사업무의 효율성 증가는 물론 전주기적 의약품 안전관리체계를 마련할 수 있을 것으로 사료된다.

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마인드맵을 활용한 회상치료가 여성 치매 의심 노인의 인지기능, 우울 지수 및 삶의 질에 미치는 영향 (The Effects of Reminiscence Therapy Using Mind Map to Improve Cognitive Function, Depression Index, Quality of Life for Elderly Women Suspected Of Dementia.)

  • 장우혁;손효성;서예지;윤수정;김현지
    • 고령자・치매작업치료학회지
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    • 제12권2호
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    • pp.97-106
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    • 2018
  • 목적 마인드맵을 활용한 회상치료가 여성 치매 의심 노인의 인지기능과 우울 지수 및 삶의 질에 미치는 영향을 알아보고자 하였다. 연구방법 본 연구는 무작위 대조군 전 후 실험설계를 사용하였다. 연구 대상자는 여성 치매 의심 노인으로 실험군 7명, 대조군 7명으로 이루어져 있다. 모든 대상자는 중재 기간 동안 동일하게 20분간 그리기 활동에 참여하였고, 실험군은 추가로 마인드맵을 활용한 회상치료를 적용하였다. 마인드맵을 활용한 회상 치료는 5주간, 주 2회, 1회당 40분씩 총 10회기로 구성하였다. 중재 효과를 검증하기 위해 사용된 평가 도구로 인지기능은 간이 정신상태 검사-한국판(Mini-Mental State Examination Korean Version ; MMSE-K), 우울 지수는 벡 우울증 척도 한국판(Korean Version of Beck Depression Inventory ; K-BDI), 삶의 질은 한국판 세계보건기구 삶의 질 간편형 척도(Korean Version of the World Health Organization Quality of Life Scale Abbreviated Version ; WHOQOL-BREF)를 사용하였다. 결과 분석은 기술 통계와 맨-휘트니 검정(Mann-Whitney U test), 윌콕슨 부호 순위 검정(Wilcoxon signed rank test)을 시행하였다. 연구결과 중재 후 집단 내에서 인지기능, 우울 지수, 삶의 질에 유의한 차이가 있었고, 집단 간 에서는 인지 기능에 유의한 차이가 있었다. 결론 마인드맵을 활용한 회상치료가 여성 치매 의심 노인의 인지기능과 우울 지수 및 삶의 질에 긍정적인 효과가 있음을 확인하였다.