• Title/Summary/Keyword: Value-based health technology assessment

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The Change of the Fracture Risk by a Fracture Risk Factor in the FRAX Tool (FRAX Tool에서 골절위험인자에 따른 골절위험도의 변화)

  • Song, Hyeon-Seok;Lee, Hyo-Yeong;Yun, Jong-Jun;Lee, Hwa-Jin;Lee, Moo-Seok;Park, Sae-Yoon;Jeong, Ji-Wook
    • The Korean Journal of Nuclear Medicine Technology
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    • v.13 no.3
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    • pp.132-136
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    • 2009
  • Purpose: WHO(world health organization) announced the FRAX Tool(fracture risk assessment) of new software in the beginning of 2008. FRAX Tool was considered various risk factor, being different from existing fracture risk. In this study, we wanted to know the fracture risk of following the changing of the risk factor of fracture. Materials and Methods: A total of 50 women aged 50~60 were studied. We measured BMD at the part of femur neck which was based on the age, weight, height of individual with GE, Lunar-prodigy. The control group is fracture risk without considering fracture risk factor. The experimental group is previous fracture, parent fracture, current smoking, glucocorticoid, rheumatoid arthritis, secondary osteoporosis, alcohol. if each items makes one 'existence', others are all 'nothing'. and the results produced major osteoporotic region and hip fracture risk in 10-years. Statistics used t-test of SPSS 12.0. Results: The average rate of increment of major osteoporotic region between control group and experimental group, previous fracture-74% increase, parent fracture-96% increase, current smoking-2% increase, glucocorticoid-61% increase, rheumatoid arthritis-29% increase, alcohol-20% increase, secondary osteoporosis-0.18% decrease. The average rate of increment of hip region between control group and experimental group, previous fracture-84% increase, parent fracture-5% increase, current smoking-72% increase, glucocorticoid-84% increase, rheumatoid arthritis-40% increase, alcohol-52% increase, secondary osteoporosis-1.69% decrease. Conclusions: Each fracture risk factor has different rate of increment between major osteoporotic and hip region while in occasion of the second osteoporosis it has little relation because of low P-value. We could know that a contribution of the risk factor is different between major osteoporotic and hip region.

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Changes in upper limb muscle activity during smartphone usage while in stable and unstable positions and during gait

  • Kim, You Lim;Lee, Suk Min;Lee, Hyun-Soo;Song, Juyeong;Song, Si-On;Seol, Min-Ji;Jang, Yu-Mi;Im, Jin-Sik;Im, Ji-Woo
    • Physical Therapy Rehabilitation Science
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    • v.7 no.3
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    • pp.119-126
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    • 2018
  • Objective: The objective of this study was to describe the influence of smartphone usage on the upper limb muscles while in stable and unstable positions and during gait. Design: Cross-sectional study. Methods: The study was conducted with 20 right-handed university students between 20 and 27 years of age. Experiments were carried out on students who have used cell phones for more than a year. In this study, experiments were performed with one-handed and two-handed smartphone operations while on stable ground, and the same parameters were measured during smartphone use on unstable ground and during gait. Subjects were instructed to write a text message in Korean on the smartphone for 3 minutes. This was repeated 3 times, with a rest period of 10 seconds given between each 3-minute period. Electromyography was used to record the muscle activity of the upper trapezius, extensor carpi radialis, extensor pollicis longus, and abductor pollicis (AP) during phone operation. Results: The muscle activity value for the right AP in one-handed and the left-AP in two-handed operations was statistically higher than the other muscles in the stable position and during gait (p<0.0001). Also, the right AP in the one- handed operation condition was statistically higher than the two-handed condition (p<0.0001). Conclusions: The use of smartphones while in a stable position resulted in high muscle activity of the right upper limb AP. However, in an unstable position, there were no significant differences from the other muscle activities. Using smartphone while assuming various positions may lead to musculoskeletal disorders in different places.

Work Environment Measurement Results for Research Workers and Directions for System Improvement (연구활동종사자 작업환경측정 결과 및 제도개선 방향)

  • Hwang, Je-Gyu;Byun, Hun-Soo
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.30 no.4
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    • pp.342-352
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    • 2020
  • Objectives: The characteristics of research workers are different from those working in the manufacturing industry. Furthermore, the reagents used change according to the research due to the characteristics of the laboratory, and the amounts used vary. In addition, since the working time changes almost every day, it is difficult to adjust the time according to exposure standards. There are also difficulties in setting standards as in the manufacturing industry since laboratory environments and the types of experiments performed are all different. For these reasons, the measurement of the working environment of research workers is not realistically carried out within the legal framework, there is a concern that the accuracy of measurement results may be degraded, and there are difficulties in securing data. The exposure evaluation based on an eight-hour time-weighted average used for measuring the working environment to be studied in this study may not be appropriate, but it was judged and consequently applied as the most suitable method among the recognized test methods. Methods: The investigation of the use of chemical substances in the research laboratory, which is the subject of this study, was conducted in the order of carrying out work environment measurement, sample analysis, and result analysis. In the case of the use of chemical substances, after organizing the substances to be measured in the working environment, the research workers were asked to write down the status, frequency, and period of use. Work environment measurement and sample analysis were conducted by a recognized test method, and the results were compared with the exposure standards (TWA: time weighted average value) for chemical substances and physical factors. Results: For the substances subject to work environment measurement, the department of chemical engineering was the most exposed, followed by the department of chemistry. This can lead to exposure to a variety of chemicals in departmental laboratories that primarily deal with chemicals, including acetone, hydrogen peroxide, nitric acid, sodium hydroxide, and normal hexane. Hydrogen chloride was measured higher than the average level of domestic work environment measurements. This can suggest that researchers in research activities should also be managed within the work environment measurement system. As a result of a comparison between the professional science and technology service industry and the education service industry, which are the most similar business types to university research laboratories among the domestic work environment measurements provided by the Korea Safety and Health Agency, acetone, dichloromethane, hydrogen peroxide, sodium hydroxide, nitric acid, normal hexane, and hydrogen chloride are items that appear higher than the average level. This can also be expressed as a basis for supporting management within the work environment measurement system. Conclusions: In the case of research activity workers' work environment measurement and management, specific details can be presented as follows. When changing projects and research, work environment measurement is carried out, and work environment measurement targets and methods are determined by the measurement and analysis method determined by the Ministry of Employment and Labor. The measurement results and exposure standards apply exposure standards for chemical substances and physical factors by the Ministry of Employment and Labor. Implementation costs include safety management expenses and submission of improvement plans when exposure standards are exceeded. The results of this study were presented only for the measurement of the working environment among the minimum health management measures for research workers, but it is necessary to prepare a system to improve the level of safety and health.