10 research outputs found

    ๊ตญ๋‚ด ๊ฑด๊ฐ•๊ฒ€์ง„ ์„œ๋น„์Šคํ’ˆ์งˆ ์†์„ฑ๊ณผ ๊ณ ๊ฐ๋งŒ์กฑ๋„์— ๊ด€ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ฒฝ์˜ํ•™๊ณผ(์ƒ์‚ฐ๊ด€๋ฆฌ์ „๊ณต), 2013. 8. ์˜ค์ •์„.As health care expenditure and aged population are increasing significantly, we encourage taking periodic health examination service nationally to prevent future illness. However, in contrast to other health care services, previous research do not investigate health examination service thoroughly in consumer perspective. Therefore, the purpose of this study focuses on identifying the dimensions of health examination service quality and its influence to customer satisfaction and behavior intentions. We introduce modified SERVPERF to construct the quality dimensions of health examination service. We assume that service quality consists of six dimensions such as tangibles, reliability, responsiveness, assurance, empathy, and privacy. To identify each dimension and its impact, we employ structural equation model. We found that these six dimensions converged to five dimensions. Privacy does not construct its dimension, responsiveness and assurance emerged as one and tangibles dimension is split by two factors. The impact of tangibles 1 on consumer satisfaction is significant but the one of tangibles 2 is not. This result complements Parasuraman et al., (1991) and support Carman (1990) of hospital setting. Responsiveness/assurance and tangibles 2 do not significantly affect consumer satisfaction but reliability, empathy, and tangible 1 do. From the relative importance of reliability and empathy, when we implement the strategy for improving service quality, we should focus on them. We also confirm that consumer satisfaction from perceived service quality is contributing the positive behavior intentions of consumers. Therefore, improving service quality will bring more sales by attracting more consumers. The limitation of this research is that sample covers only two health examination centers in Seoul, Korea with similar environment. Therefore, further research, which contains more diverse samples with various contexts, is necessary.Chapter 1 Introduction 1 1.1 Definition and History of Periodic Health Examination 1 1.2 The Need of Health Examination 2 1.3 Current States of Health Examination 4 1.4 Research of Health Examination in Consumer Perspective 6 Chapter 2 Literature Review 7 2.1 Quality in Health Care 7 2.2 Functional Quality and Technical Quality 8 2.3 Measurement of Health Service Quality 9 2.4 Dimensionality of Health Examination Service 11 2.5 Satisfaction and Behavior Intention 16 Chapter 3 Research Design and Methodology 17 3.1 Model 17 3.2 Structural Equation Model 18 3.3 Survey Construction 19 3.4 Data collection 25 Chapter 4 Results and Discussion 26 4.1 Descriptive Statistics 26 4.2 Reliability and Validity 28 4.3 Modified Model 32 4.4 Discussion 34 Chapter 5 Conclusions 36 5.1 Limitations 37 5.2 Suggestions for Future Research 37 Bibliography 38 Appendix 44 ๊ตญ๋ฌธ ์ดˆ๋ก 48Maste

    ์–‘ํŒŒ์žฅ HiLo ์ด๋ฏธ์ง• ๊ธฐ๋ฒ•์„ ํ™œ์šฉํ•œ ๊ณ ์† ๊ณ ํ•ด์ƒ๋„ 3์ฐจ์› ํ”„๋กœํŒŒ์ผ ์ธก์ • ์‹œ์Šคํ…œ ๊ฐœ๋ฐœ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ๊ธฐ๊ณ„ํ•ญ๊ณต๊ณตํ•™๋ถ€, 2019. 2. ๊ณ ์ƒ๊ทผ.Various techniques to measure the three-dimensional (3D) surface profile of a 3D micro- or nanostructure have been proposed. However, it is difficult to apply such techniques directly to industrial uses because most of them are relatively slow, unreliable, and expensive. HiLo optical imaging technique, which was recently introduced in the field of fluorescence imaging, is a promising wide-field imaging technique capable of high-speed imaging with a simple optical configuration. It has not been used in measuring a 3D surface profile although confocal microscopy originally developed for fluorescence imaging has been adapted to the field of 3D optical measurement for a long time. In this paper, to the best of our knowledge, HiLo optical imaging technique for measuring a 3D surface profile is proposed for the first time. Its optical configuration and algorithm for a precisely detecting surface position are designed, optimized, and implemented. In addition, a dual-wavelength HiLo method that removes the physical movement of the grating filter by using dual-wavelength light to further improve speed is proposed, and it is shown that with this method images similar to real-time images can be acquired without degradation of performance. Optical performance for several 3D microscale structures is evaluated, and it is confirmed that the capability of measuring a 3D surface profile with HiLo optical imaging technique is comparable to that with confocal microscopy.๋งˆ์ดํฌ๋กœ ๋ฐ ๋‚˜๋…ธ ๊ธฐ์ˆ ์˜ ๋ฐœ๋‹ฌ์— ๋”ฐ๋ผ, ๋ฏธ์„ธ๊ตฌ์กฐ์˜3์ฐจ์› ์ธก์ •์— ๋Œ€ํ•œ ์š”๊ตฌ ๋˜ํ•œ ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ๋‹ค. 3์ฐจ์› ์ธก์ • ์žฅ์น˜๋Š” ํฌ๊ฒŒ ์ ‘์ด‰์‹๊ณผ ๋น„ ์ ‘์ด‰์‹์œผ๋กœ ๊ตฌ๋ถ„๋˜๋ฉฐ, ์ธก์ • ์†๋„, ์‹œ๋ฃŒ์˜ ์˜ค์—ผ ๋“ฑ์˜ ์ด์œ ๋กœ ๋น„์ ‘์ด‰์‹์ด ์„ ํ˜ธ๋˜๊ณ  ์žˆ๋‹ค. ๋น„ ์ ‘์ด‰์‹์€ ๋‹ค์‹œ ํŒŒ์žฅ์˜ ํฌ๊ธฐ์— ๋”ฐ๋ผ ์ „์žํ˜„๋ฏธ๊ฒฝ๊ณผ ๊ฐ€์‹œ๊ด‘์„  ํ˜„๋ฏธ๊ฒฝ์œผ๋กœ ๊ตฌ๋ถ„๋˜๋Š”๋ฐ, ๊ฐ€์‹œ๊ด‘์„  ์˜์—ญ์—์„œ๋Š” ์›์ž ํ˜„๋ฏธ๊ฒฝ, ๋ฐฑ์ƒ‰๊ด‘ ๊ฐ„์„ญ๊ณ„, ๋ ˆ์ด์ € ์Šค์บ๋‹ ๊ณต์ดˆ์  ํ˜„๋ฏธ๊ฒฝ, ๊ตฌ์กฐ์กฐ์˜ ํ˜„๋ฏธ๊ฒฝ ๋“ฑ์„ ์ฃผ๋กœ ํ™œ์šฉํ•œ๋‹ค. ๊ทธ๋Ÿฐ๋ฐ, ์ƒ๊ธฐ์˜ ๋ฐฉ๋ฒ•๋“ค์€ ์ธก์ • ์‹œ๊ฐ„์ด ๊ธธ๊ฑฐ๋‚˜, ๊ณ ๊ฐ€์˜ ๋ ˆ์ด์ € ์žฅ๋น„๊ฐ€ ํ•„์š”ํ•˜๊ฑฐ๋‚˜, ์ธก์ • ์˜์—ญ์ด ์ œํ•œ ๋˜๋Š” ๋“ฑ ๊ฐ๊ฐ์˜ ์ œ์•ฝ ์š”์†Œ๊ฐ€ ์กด์žฌํ•œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š”, ์ด๋Ÿฌํ•œ ์ œ์•ฝ ์š”์†Œ๋ฅผ ๊ณ ๋ คํ•˜์—ฌ ๋Œ€๋ฉด์  ์ดฌ์˜์ด ๊ฐ€๋Šฅํ•˜์—ฌ ์ธก์ • ์‹œ๊ฐ„์ด ๋น ๋ฅด๊ณ , ๋ ˆ์ด์ € ๋“ฑ ๊ณ ๊ฐ€์˜ ์žฅ๋น„๋ฅผ ํ™œ์šฉํ•˜์ง€ ์•Š์œผ๋ฉด์„œ, ๋ ˆ์ด์ € ์Šค์บ๋‹ ๊ณต์ดˆ์  ํ˜„๋ฏธ๊ฒฝ๊ณผ ๋น„๊ฒฌ๋˜๋Š” ์ˆ˜์ง๋ฐฉํ–ฅ ํ•ด์ƒ๋„๋ฅผ ๊ฐ€์ง€๋Š” 3์ฐจ์› ์ธก์ • ๊ธฐ๋ฒ•์„ ๊ฐœ๋ฐœํ•˜๋Š” ๊ฒƒ์„ ๋ชฉํ‘œ๋กœ ํ•˜์˜€๋‹ค. ํ˜•๊ด‘์˜์ƒ ๋ถ„์•ผ์—์„œ 2008๋…„ ์†Œ๊ฐœ๋œ HiLo์˜์ƒ๊ธฐ๋ฒ•์€ ํŒจํ„ดํ•„ํ„ฐ๊ฐ€ ์ ์šฉ๋œ 2์žฅ์˜ ๋Œ€๋ฉด์  ํ˜•๊ด‘์˜์ƒ์„ ์‹ ํ˜ธ์ฒ˜๋ฆฌํ•˜์—ฌ 3์ฐจ์› ๋ถ„ํ•ด๋Šฅ์„ ๊ฐ€์ง„ ์˜์ƒ์„ ํš๋“ํ•˜๋Š” ๊ธฐ์ˆ ์ด๋‹ค. ๋Œ€๋ฉด์  ์˜์ƒ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•˜๋Š” ์ด ๊ธฐ์ˆ ์€ ๊ธฐ์กด์˜ 3์ฐจ์› ๊ณต์ดˆ์  ํ˜•๊ด‘ํ˜„๋ฏธ๊ฒฝ์˜ ๋ ˆ์ด์ € ์ฃผ์‚ฌ๋ฐฉ์‹์— ๋น„ํ•ด ๋งค์šฐ ๋น ๋ฅด๋ฉด์„œ๋„ ๊ธฐ์กด์˜ 3์ฐจ์› ํ•ด์ƒ๋„์™€ ๋น„๊ตํ•  ๋งŒํ•œ ์ˆ˜์ค€์„ ์œ ์ง€ํ•˜๊ณ  ์žˆ๋‹ค๋Š” ์žฅ์ ์„ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค. HiLo ์˜์ƒ ๊ธฐ๋ฒ•์€ ์ตœ์ดˆ ์†Œ๊ฐœ๋œ ์ดํ›„ ํ˜•๊ด‘์˜์ƒ ๋ถ„์•ผ์—์„œ๋งŒ ์ ์šฉ๋˜์–ด ์™”์œผ๋ฉฐ, ํ˜„์žฌ๊นŒ์ง€ 3์ฐจ์› ํ‘œ๋ฉด์˜ ๋ฐ˜์‚ฌ๊ด‘์„ ์ธก์ •ํ•˜๋Š” ์—ฐ๊ตฌ๊ฐ€ ์ง„ํ–‰๋˜์ง€ ์•Š์•„ ๋ณธ ์—ฐ๊ตฌ์—์„œ ๊ทธ ๊ฐ€๋Šฅ์„ฑ์„ ์ตœ์ดˆ๋กœ ๊ฒ€ํ† ํ•˜์˜€๋‹ค. HiLo ์˜์ƒ ๊ธฐ๋ฒ•์„ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•ด HiLo ์˜์ƒ ๊ธฐ๋ฒ•์˜ ์ด๋ก ์  ๋ฐฐ๊ฒฝ์„ ํ‘œ๋ฉด์˜ ๋ฐ˜์‚ฌ๊ด‘ ์ธก์ •์— ๋งž๊ฒŒ ์žฌ๊ตฌ์„ฑํ•˜์˜€์œผ๋ฉฐ, ๋ฒ”์šฉ ๊ด‘ํ•™ ๋ถ€ํ’ˆ๊ณผ ์ž์ฒด ์ œ์ž‘ํ•œ ๋ถ€ํ’ˆ์„ ํ™œ์šฉํ•˜์—ฌ ์‹คํ—˜ ์žฅ์น˜๋ฅผ ๊ตฌ์„ฑํ•˜์˜€๊ณ , ์†Œํ”„ํŠธ์›จ์–ด ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ๊ตฌํ˜„ํ•˜์˜€๋‹ค. ํ˜•์ƒ๊ณผ ๋†’์ด๊ฐ€ ๊ฒ€์ฆ๋œ ํ‘œ์ค€์ƒ˜ํ”Œ์„ ํ™œ์šฉํ•˜์—ฌ ์„ฑ๋Šฅ์„ ๊ฒ€์ฆํ•˜์˜€์œผ๋ฉฐ, ์‹œ๋ฃŒ ํ‘œ๋ฉด์˜ ๋ฐ˜์‚ฌ๊ด‘์„ ์ธก์ •ํ•˜๋Š” ๊ฒฝ์šฐ์—๋„, ํ˜•๊ด‘์˜์ƒ๊ณผ ๋™์ผํ•œ ์ˆ˜ํ‰ ๋ฐ ์ˆ˜์ง๋ฐฉํ–ฅ ๋ฐ๊ธฐ ๋ถ„ํฌ๋ฅผ ํš๋“ํ•  ์ˆ˜ ์žˆ์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค. ์ด์™€ ํ•จ๊ป˜, HiLo ์˜์ƒ ๊ธฐ๋ฒ•์˜ ํ•ต์‹ฌ ์„ค๊ณ„ ๋ณ€์ˆ˜์ธ ๊ตฌ์กฐ์กฐ์˜ ํ•„ํ„ฐ์˜ ๊ฒฉ์ž ๊ฐ„๊ฒฉ์„ ๋ณ€ํ™”์‹œํ‚ค๋ฉด์„œ ์ธก์ •ํ•˜์—ฌ ์ตœ์  ๊ฒฉ์ž ๊ฐ„๊ฒฉ์„ ๋„์ถœํ•˜์˜€๋‹ค. ๊ทธ๋Ÿฐ๋ฐ, HiLo ์˜์ƒ ๊ธฐ๋ฒ•์ด ๋Œ€๋ฉด์ ์„ ๋™์‹œ์— ์ดฌ์˜ํ•  ์ˆ˜ ์žˆ๋Š” ๊ณ ์† ์˜์ƒ ๊ธฐ๋ฒ•์ž„์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ , ํŒจํ„ดํ•„ํ„ฐ์˜ ๋ฌผ๋ฆฌ์  ์ด๋™๊ณผ ํ•จ๊ป˜ ์ˆœ์ฐจ์ ์œผ๋กœ 2๊ฐœ์˜ ์˜์ƒ์„ ํš๋“ํ•˜๋Š” ๊ณผ์ •์—์„œ ๋ฐœ์ƒํ•˜๋Š” ์‹œ๊ฐ„ ์†Œ์š”๋กœ ์‹ค์‹œ๊ฐ„ ์˜์ƒ์„ ๊ตฌํ˜„ํ•˜๊ธฐ๋Š” ์–ด๋ ต๋‹ค. Spatial light modulator (SLM) ๋˜๋Š” digital micro-mirror device (DMD) ๋“ฑ์„ ์ฑ„ํƒํ•˜์—ฌ ์†๋„๋ฅผ ๊ฐœ์„  ์‹œํ‚ฌ ์ˆ˜ ์žˆ์œผ๋‚˜, ์ˆœ์ฐจ์  ์˜์ƒ ํš๋“์ด๋ผ๋Š” ๊ทผ๋ณธ์ ์ธ ํ•œ๊ณ„๊ฐ€ ์žˆ๋‹ค. ์ด ๋•Œ๋ฌธ์—, HiLo ์˜์ƒ ์ฒ˜๋ฆฌ์— ํ•„์š”ํ•œ 2๊ฐœ์˜ ์˜์ƒ์„ ๋™์‹œ์— ํš๋“ํ•  ์ˆ˜ ์žˆ๋Š” ์–‘ํŒŒ์žฅ HiLo ์˜์ƒ ๊ธฐ๋ฒ•์„ ์ œ์•ˆํ•˜์˜€๋‹ค. ์ด๊ฒƒ์€ ์—ผ์ƒ‰๋ฌผ์งˆ์˜ ํŠน์„ฑ์— ๋”ฐ๋ผ ์ž…์‚ฌ๊ด‘์˜ ํŒŒ์žฅ๊ณผ ๋ฌด๊ด€ํ•˜๊ฒŒ ์ถœ๋ ฅ๊ด‘์˜ ํŒŒ์žฅ๋Œ€๊ฐ€ ์ผ์ •ํ•œ ํ˜•๊ด‘ ์—ผ์ƒ‰ ๋ถ„์•ผ์™€ ๋‹ฌ๋ฆฌ, ๋ฐ˜์‚ฌ๊ด‘์„ ์ธก์ •ํ•˜๋Š” ๊ฒฝ์šฐ์—๋Š” ๋‹ค์ˆ˜ ํŒŒ์žฅ๋Œ€์˜ ์ž…์‚ฌ๊ด‘์„ ๋™์‹œ์— ์กฐ์˜ํ•˜์—ฌ๋„ ์ž…์‚ฌ๊ด‘๊ณผ ๋™์ผํ•œ ํŒŒ์žฅ๋Œ€์˜ ๋ฐ˜์‚ฌ๊ด‘์„ ๋ถ„๋ฆฌ ๊ฒ€์ถœํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ์ ์— ์ฐฉ์•ˆํ•˜์˜€๋‹ค.. ๋จผ์ €, ์„œ๋กœ ๋‹ค๋ฅธ ํŒŒ์žฅ์„ ๊ฐ€์ง€๋Š” 2๊ฐœ์˜ ๊ด‘์› ์ค‘ 1๊ฐœ ๊ด‘์›์˜ ๊ด‘ ๊ฒฝ๋กœ์—๋งŒ ๊ตฌ์กฐ์กฐ์˜ ํŒจํ„ด๋ฅผ ๋ฐฐ์น˜ํ•˜์—ฌ ๊ตฌ์กฐ์กฐ์˜ ๊ด‘์›๊ณผ ๊ท ์ผ ์กฐ์˜ ๊ด‘์›์„ ๊ฐ๊ฐ ์ƒ์„ฑํ•˜์˜€๋‹ค. ์ƒ์„ฑ๋œ 2 ๊ด‘์›์„ ๋™์‹œ์— ์‹œ๋ฃŒ์— ์กฐ์˜ํ•œ ํ›„, ์‹œ๋ฃŒ์˜ ๋ฐ˜์‚ฌ๊ด‘์„ ๊ฐ ๊ด‘์›์˜ ํŒŒ์žฅ๋Œ€์˜ ๋น›๋งŒ ํ†ต๊ณผ์‹œํ‚ค๋„๋ก band-pass filter๊ฐ€ ์„ค์น˜๋œ 2๋Œ€์˜ ์นด๋ฉ”๋ผ๋ฅผ ํ™œ์šฉํ•ด 2๊ฐœ์˜ ์˜์ƒ์„ ๋™์‹œ์— ํš๋“ํ•˜๋„๋ก ํ•˜์˜€๋‹ค. ์ƒ๊ธฐ ๋ฐฉ๋ฒ•์œผ๋กœ ํŒจํ„ด ํ•„ํ„ฐ์˜ ๋ฌผ๋ฆฌ์  ์ด๋™ ์—†์ด HiLo ๊ธฐ๋ฒ•์— ํ•„์š”ํ•œ 2๊ฐœ์˜ ์˜์ƒ์„ ๋™์‹œ์— ํš๋“ํ•  ์ˆ˜ ์žˆ๊ฒŒ ๋˜์–ด, 1~2์ดˆ ์ˆ˜์ค€์˜ ๊ธฐ์กด HiLo ์˜์ƒ ํš๋“ ์‹œ๊ฐ„์„ ์‹ค์‹œ๊ฐ„์œผ๋กœ ๋‹จ์ถ•ํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ด๋•Œ, ์„œ๋กœ ๋‹ค๋ฅธ ํŒŒ์žฅ์˜ ๊ด‘์›๊ณผ 2๊ฐœ์˜ ์นด๋ฉ”๋ผ๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๊ฒƒ์„ ๊ณ ๋ คํ•˜์—ฌ ๊ธฐ์กด HiLo ์˜์ƒ ์ฒ˜๋ฆฌ ๋ฐฉ๋ฒ•์„ ์ผ๋ถ€ ์ˆ˜์ •ํ•˜์˜€๋‹ค. ํŒŒ์žฅ ๋ณ„ ๋ Œ์ฆˆ ์ดˆ์ ๊ฑฐ๋ฆฌ ์ฐจ์ด๋ฅผ ๋ณด์ •ํ•˜์˜€๊ณ , ๋™์‹œ์—, 2๊ฐœ ์นด๋ฉ”๋ผ์˜ ๋ฏธ์„ธํ•œ ์ •๋ ฌ ์˜ค์ฐจ๋ฅผ ์†Œํ”„ํŠธ์›จ์–ด์ ์œผ๋กœ ๋ณด์ •ํ•˜์˜€๋‹ค. ๊ธฐ์กด HiLo ์˜์ƒ ๊ธฐ๋ฒ•๊ณผ ๋™์ผํ•œ ์‹œ๋ฃŒ๋ฅผ ์ธก์ •ํ•œ ๊ฒฐ๊ณผ์™€ ์–‘ํŒŒ์žฅ HiLo๋ฅผ ํ†ตํ•ด ์ธก์ •ํ•œ ๊ฒฐ๊ณผ๋ฅผ ๋น„๊ตํ•œ ๊ฒฐ๊ณผ ๊ธฐ์กด HiLo์™€ ๋™์ผํ•œ ์ˆ˜์ค€์˜ ์ˆ˜ํ‰, ์ˆ˜์ง๋ฐฉํ–ฅ ํ•ด์ƒ๋„๋ฅผ ๊ฐ€์ง์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋˜ํ•œ, ์ˆ˜์ง ๋ฐฉํ–ฅ์œผ๋กœ ์ผ์ • ๊ฐ„๊ฒฉ์œผ๋กœ ๋Œ€๋ฌผ๋ Œ์ฆˆ๋ฅผ ์ด๋™์‹œํ‚ค๋ฉด์„œ ํš๋“ํ•œHiLo ๋ฐ ์–‘ํŒŒ์žฅ HiLo ์ด๋ฏธ์ง€๋“ค์˜ ํ™œ์šฉํ•ด 3์ฐจ์› ํ‘œ๋ฉด ํ”„๋กœํŒŒ์ผ์„ ์žฌ๊ตฌ์„ฑํ•˜๋Š” ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์ œ์‹œํ•˜์˜€๋‹ค. ์ ์ธตํ•œ 2์ฐจ์› ์˜์ƒ์„ ์ •๋ ฌํ•˜๋Š” ์ „์ฒ˜๋ฆฌ ๋‹จ๊ณ„, ๋ฐ๊ธฐ ์ •๋ณด์— ๊ธฐ๋ฐ˜ํ•˜์—ฌ ํ‘œ๋ฉด์˜ ์œ„์น˜๋ฅผ ๊ฒฐ์ •ํ•˜๋Š” 3์ฐจ์› ์žฌ๊ตฌ์„ฑ ๋‹จ๊ณ„, ํš๋“ํ•œ 3์ฐจ์› ํ”„๋กœํŒŒ์ผ์˜ ํ‰ํ‰๋„ ๋ฐ ์ธก์ • ์˜ค์ฐจ๋ฅผ ๋ณด์ •ํ•˜์—ฌ ์ตœ์ข… ์˜์ƒ์„ ํš๋“ํ•˜๋Š” ๋‹จ๊ณ„๋ฅผ ๊ฑฐ์น˜๊ฒŒ ๋œ๋‹ค. ๋ฐ˜๋ณต์„ฑ ํ…Œ์ŠคํŠธ๋ฅผ ํ†ตํ•ด 20 nm ์ˆ˜์ค€์˜ ์ธก์ • ์ •๋ฐ€๋„๋ฅผ ๋ณด์ž„์„ ํ™•์ธํ•˜์˜€์œผ๋ฉฐ, ๋‹ค์ˆ˜ ์ƒ˜ํ”Œ ์ธก์ • ๊ฒฐ๊ณผ ์ƒ์šฉ ๋ ˆ์ด์ € ์Šค์บ๋‹ ๊ณต์ดˆ์  ํ˜„๋ฏธ๊ฒฝ๊ณผ ๋™์ผ ๋˜๋Š” ์œ ์‚ฌํ•œ ์ˆ˜์ค€์˜ ํ˜•์ƒ๊ณผ ์ธก์ • ๊ฒฐ๊ณผ๊ฐ’์„ ํš๋“ํ•  ์ˆ˜ ์žˆ์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค.Table of Contents i List of Figures v List of Tables x List of Variables xi Chapter 1. Introduction 1 1.1. Motivation 1 Representative 3D profile measurement techniques 1 Development target of this study 5 Investigating 3D profile measurement techniques that can meet the target specification 6 1.2. Previous research for HiLo imaging technique 7 1.3. Main objectives 8 Chapter 2. HiLo imaging technique for surface profile measurement 11 2.1. Basic optics of microscopy 11 2.2. Mathematical background for HiLo technique 14 Uniform- and structured illumination image 14 Mathematical processing with uniform- and structured illumination image 17 Lateral resolution enhancement by HiLo technique 21 Effect of spatial frequency of grating on axial resolution 22 2.3. Optical configuration 28 Optical system configuration and optical component description 28 Specification of the optical system 32 The grating design 33 2.4. Software configuration 35 HiLo image processing algorithm 35 Overall software configuration 37 2.5. Optical resolution of HiLo imaging technique 41 Lateral resolution of HiLo technique 41 Axial resolution of HiLo technique according to grating periods 43 Optimization of grating period for HiLo optical imaging technique 44 2.6. Summary and discussion 47 Chapter 3. Dual wavelength HiLo imaging technique for surface profile measurement 49 3.1. Dual-wavelength HiLo imaging technique 49 Basic idea of dual wavelength HiLo imaging technique 49 Modification HiLo formula considering wavelength difference 53 Chromatic aberration correction 55 Registration of images taken with two cameras 60 3.2. Optical system modification for dual wavelength HiLo 62 Specification of the dual-wavelength HiLo imaging technique 64 3.3. Software modification for dual-wavelength HiLo 65 3.4. Optical resolution of dual-wavelength HiLo and comparison to existing HiLo 66 Lateral resolution of dual-dual wavelength HiLo 66 Axial resolution of dual wavelength HiLo 67 3.5. Summary and discussion 70 Chapter 4. 3D reconstructuon with vertically scanned Hilo image stack 71 4.1. Concept of 3D reconstruction using 2D image slices (image stack) 71 4.2. Preprocessing before applying 3D reconstruction algorithm to the image stack โ€“ image stack registration through z-axis 73 4.3. 3D reconstruction with image stack 80 3D reconstruction algorithm 80 Repeatability of 3D surface profile measurement 85 Reselection of optimal grating spatial frequency 87 4.4. Post-processing after getting the 3D surface profile with standard sample 88 Surface flatness calibration with standard sample 88 Outlier calibration with median filter 91 4.5. Step height measurement of sample after 3D reconstruction of the specimen 96 Leveling of the acquired 3D surface profile 96 Step height measurement of the specimen 100 Precision of the step height measurement and height calibration with standard sample 101 4.6. Selected sample measurement result and comparison to LSCM 103 4.7. Summary and discussion 109 Chapter 5. Summary and Discussion 112 REFERENCES 117Docto

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    ๊ฐ„ํ˜ธํ•™๊ณผ/๋ฐ•์‚ฌ[ํ•œ๊ธ€] ๋ณธ ์—ฐ๊ตฌ๋Š” ๋Œ€์‚ฌ์ฆํ›„๊ตฐ ๋Œ€์ƒ์ž์˜ ์ƒํ™œ์Šต๊ด€์„ ๊ฑด๊ฐ•ํ–‰์œ„์˜ ์ธก๋ฉด์—์„œ ํฌ๊ด„์ ์œผ๋กœ ํ‰๊ฐ€ํ•  ์ˆ˜ ์žˆ๋Š” ๋„๊ตฌ๋ฅผ ๊ฐœ๋ฐœํ•˜๋Š” ๊ฒƒ์„ ๋ชฉ์ ์œผ๋กœ ํ•˜๋Š” ๋ฐฉ๋ฒ•๋ก ์  ์—ฐ๊ตฌ์ด๋‹ค.๋„๊ตฌ ๊ฐœ๋ฐœ์€ ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๊ณผ์ •์„ ํ†ตํ•ด ์ง„ํ–‰๋˜์—ˆ๋‹ค. ์„ ํ–‰ ์—ฐ๊ตฌ ๊ณ ์ฐฐ๊ณผ ๋Œ€์‚ฌ์ฆํ›„๊ตฐ ๊ด€๋ จ ๊ตญ๋‚ด์™ธ ๊ตญ๊ฐ€ ๋ณด๊ฑด ๊ธฐ๊ด€ ๋ฐ ์ •์ฑ… ๋“ฑ์˜ ์ƒํ™œ์Šต๊ด€ ์‹ค์ฒœ ํ•ญ๋ชฉ์˜ ๋ฒ”์ฃผ๋ฅผ ํ™•์ธํ•˜์—ฌ ๊ตฌ์„ฑ์š”์ธ์„ ๊ทœ๋ช…ํ•˜์˜€์œผ๋ฉฐ, ์„ ํ–‰ ๋„๊ตฌ์˜ ๋ฌธํ•ญ ๋‚ด์šฉ ๋ถ„์„์„ ํ†ตํ•˜์—ฌ ์˜ˆ๋น„๋ฌธํ•ญ์„ ์ž‘์„ฑํ•˜์˜€๋‹ค. ์ž‘์„ฑ๋œ ์˜ˆ๋น„๋ฌธํ•ญ์€ ์ „๋ฌธ๊ฐ€ 10๋ช…์—๊ฒŒ ํƒ€๋‹น๋„๋ฅผ ๊ฒ€์ฆ ๋ฐ›์•˜๋‹ค.๋ณธ ์กฐ์‚ฌ๋ฅผ ์ˆ˜ํ–‰ํ•˜๊ธฐ ์ „์— ๋„๊ตฌ์˜ ์ดํ•ด๋„์™€ ํ˜•์‹์˜ ์ ์ ˆ์„ฑ ๊ฒ€์ฆ์„ ์œ„ํ•ด ๋Œ€์‚ฌ์ฆํ›„๊ตฐ ๋Œ€์ƒ์ž 30๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ์‚ฌ์ „์กฐ์‚ฌ๋ฅผ ์‹ค์‹œํ•˜์˜€์œผ๋ฉฐ, ์˜ˆ๋น„ ๋„๊ตฌ์˜ ์‹ ๋ขฐ๋„๊ฐ€ Cronbach's ฮฑ๊ฐ€ .83์ž„์„ ํ™•์ธํ•˜์˜€๋‹ค. ๊ฐœ๋ฐœ๋œ ๋„๊ตฌ์˜ ํƒ€๋‹น๋„์™€ ์‹ ๋ขฐ๋„ ๊ฒ€์ฆ์„ ์œ„ํ•ด ์ž๋ฃŒ ์ˆ˜์ง‘์€ ์„œ์šธ์‹œ ์†Œ์žฌ S ์ข…ํ•ฉ๋ณ‘์› ์™ธ๋ž˜ ๋‚ด๋ถ„๋น„ ๋‚ด๊ณผ ๋‹น๋‡จ ์„ผํ„ฐ์™€ ์‹ฌ์žฅ๋‚ด๊ณผ ๊ณ ํ˜ˆ์••, ๊ณ ์ง€ํ˜ˆ์ฆ ํด๋ฆฌ๋‹‰์„ ๋‚ด์›ํ•˜๋Š” ๋Œ€์‚ฌ์ฆํ›„๊ตฐ ๋Œ€์ƒ์ž 195๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ๋„๊ตฌ์˜ ํƒ€๋‹น๋„์™€ ์‹ ๋ขฐ๋„๋ฅผ ๊ฒ€์ฆํ•˜์˜€๋‹ค.์ž๋ฃŒ ๋ถ„์„์—์„œ๋Š” ๋ฌธํ•ญ ๋ถ„์„์„ ํ†ตํ•˜์—ฌ ๋ฌธํ•ญ ๊ฐ„ ์ƒ๊ด€๊ณ„์ˆ˜๊ฐ€ .30์ดํ•˜์ธ ๋ฌธํ•ญ์€ ์ „์ฒด ์ฒ™๋„ ์˜์—ญ ๋‚ด์— ๊ธฐ์—ฌํ•˜๋Š” ๋ฐ”๊ฐ€ ๋‚ฎ์€ ๊ฒƒ์œผ๋กœ ํ‰๊ฐ€ํ•˜์—ฌ ์ด์— ํ•ด๋‹นํ•˜๋Š” 3๋ฌธํ•ญ์„ ์‚ญ์ œํ•˜์˜€๋‹ค. ์š”์ธ๋ถ„์„์€ Varimax ํšŒ์ „์„ ์ด์šฉํ•œ ์ฃผ์š”์ธ ๋ถ„์„๋ฐฉ๋ฒ•์„ ์‚ฌ์šฉํ•˜์˜€์œผ๋ฉฐ, 6๊ฐ€์ง€์˜ ์š”์ธ์„ ์ถ”์ถœํ•˜์˜€๋‹ค. ์ด๋“ค์˜ ์„ค๋ช…๋ ฅ์€ 55.07%๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ์š”์ธ์ ์žฌ๋Ÿ‰์€ ๋ชจ๋“  ๋ฌธํ•ญ์ด .30์ด์ƒ์œผ๋กœ ์œ ์˜ํ•˜์˜€๋‹ค. ์š”์ธ์— ๋Œ€ํ•œ ๋ช…๋ช…์€ โ€˜์‹ ์ฒดํ™œ๋™๊ณผ ์ฒด์ค‘์กฐ์ ˆโ€™, โ€˜์‹์Šต๊ด€โ€™, โ€˜์Œ์ฃผ์™€ ํก์—ฐโ€™, โ€˜์ˆ˜๋ฉด๊ณผ ํœด์‹โ€™, โ€˜์ŠคํŠธ๋ ˆ์Šคโ€™, โ€˜์•ฝ๋ฌผ๊ณผ ๊ฑด๊ฐ•๊ฒ€์ง„โ€™์œผ๋กœ ๋ช…๋ช…ํ•˜์˜€๋‹ค. ์š”์ธ๋ถ„์„ ๊ฒฐ๊ณผ, ๋ณธ ์—ฐ๊ตฌ์˜ ๊ตฌ์„ฑ์š”์ธ์œผ๋กœ ๊ทœ๋ช…ํ•˜์˜€๋˜ ๊ฒƒ๊ณผ ๊ฑฐ์˜ ์ผ์น˜ํ•˜๋Š” ๊ตฌ์กฐ๋ฅผ ๋ณด์—ฌ ๋„๊ตฌ์˜ ๊ตฌ์„ฑ ํƒ€๋‹น๋„์— ์ง€์ง€๋ฅผ ๋ฐ›์•˜๋‹ค. ๋˜ํ•œ ์ˆ˜๋ ด ํƒ€๋‹น๋„ ๊ฒ€์ฆ์€ ๋ณธ ์—ฐ๊ตฌ์—์„œ ๊ฐœ๋ฐœ๋œ ๋„๊ตฌ์™€ ๊ฑด๊ฐ•์ฆ์ง„์ƒํ™œ์–‘์‹ ๋„๊ตฌ(Health Promotion Lifestyle Profile)์™€์ƒ๊ด€์„ฑ์„ ๋ณด์•˜์œผ๋ฉฐ, ๊ทธ ๊ฒฐ๊ณผ r= .72(p<.001)๋กœ ์œ ์˜ํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํŒ๋ณ„ ํƒ€๋‹น๋„ ๊ฒ€์ฆ์„ ์œ„ํ•œ ์šฐ์šธ ๋„๊ตฌ CES-D(Center for Epidemiologic Studies Depression Scale)์™€์˜ ๊ด€๋ จ์„ฑ์—์„œ๋Š” r= -.15(p<.01)๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค.์ตœ์ข… ๊ฐœ๋ฐœ๋œ ๋„๊ตฌ์˜ ๋‚ด์  ์ผ๊ด€์„ฑ์€ Cronbach's ฮฑ .92์ด์—ˆ์œผ๋ฉฐ, ์š”์ธ๋ณ„๋กœ๋Š” โ€˜์‹ ์ฒดํ™œ๋™๊ณผ ์ฒด์ค‘์กฐ์ ˆโ€™ .87, โ€˜์‹์Šต๊ด€โ€™ .87, โ€˜์Œ์ฃผ์™€ ํก์—ฐโ€™ .87, โ€˜์ˆ˜๋ฉด๊ณผ ํœด์‹โ€™ .86, โ€˜์ŠคํŠธ๋ ˆ์Šคโ€™ .74, โ€˜์•ฝ๋ฌผ๊ณผ ๊ฑด๊ฐ•๊ฒ€์ง„โ€™ .70์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค.์ตœ์ข… ๊ฐœ๋ฐœ๋œ ์ƒํ™œ์Šต๊ด€ ํ‰๊ฐ€ ๋„๊ตฌ๋Š” โ€˜์‹ ์ฒดํ™œ๋™๊ณผ ์ฒด์ค‘์กฐ์ ˆโ€™ 8๋ฌธํ•ญ, โ€˜์‹์Šต๊ด€โ€™ 16๋ฌธํ•ญ, โ€˜์Œ์ฃผ์™€ ํก์—ฐโ€™ 3๋ฌธํ•ญ, โ€˜์ˆ˜๋ฉด๊ณผ ํœด์‹โ€™ 2๋ฌธํ•ญ, โ€˜์ŠคํŠธ๋ ˆ์Šคโ€™ 3๋ฌธํ•ญ, โ€˜์•ฝ๋ฌผ๊ณผ ๊ฑด๊ฐ•๊ฒ€์ง„โ€™ 4๋ฌธํ•ญ์˜ 6๊ฐ€์ง€ ์š”์ธ์œผ๋กœ ๊ตฌ๋ถ„๋œ ์ด 36๋ฌธํ•ญ์˜ 4์  ์ฒ™๋„์˜ ์ž๊ฐ€ ๋ณด๊ณ ์‹ ๋„๊ตฌ์ด๋‹ค.์œ„์˜ ์—ฐ๊ตฌ ๊ณผ์ •์„ ํ†ตํ•ด ๊ฐœ๋ฐœ๋œ ๋Œ€์‚ฌ์ฆํ›„๊ตฐ ๋Œ€์ƒ์ž์˜ ์ƒํ™œ์Šต๊ด€ ํ‰๊ฐ€ ๋„๊ตฌ๋Š” ํƒ€๋‹น๋„์™€ ์‹ ๋ขฐ๋„๊ฐ€ ๋†’์€ ๊ฒƒ์œผ๋กœ ํ‰๊ฐ€๋  ์ˆ˜ ์žˆ๋‹ค. ๋ณธ ๋„๊ตฌ๋ฅผ ํ†ตํ•ด ๊ฑด๊ฐ•ํ–‰์œ„์™€ ๊ด€๋ จ๋œ ์ƒํ™œ์Šต๊ด€์˜ ๋‹ค์–‘ํ•œ ๋ณ€์ธ๋“ค์„ ํŒŒ์•…ํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์—ฐ๊ตฌ์™€ ์‹ค๋ฌด ๋ฉด์—์„œ ์งˆ๋ณ‘ ์œ„ํ—˜์ธ์ž์˜ ํŠน์„ฑ๊ณผ ๊ด€๋ จ๋œ ๋Œ€์ƒ์ž์˜ ์ƒํ™œ์Šต๊ด€ ๊ฐœ์„ ์„ ์œ„ํ•œ ๊ฐ„ํ˜ธ์ค‘์žฌ๋ฐฉ์•ˆ์„ ๊ฐœ๋ฐœํ•˜๋Š”๋ฐ ๊ธฐ์—ฌํ•  ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋˜๋ฉฐ, ์ด๋ฅผ ํ†ตํ•œ ๋งŽ์€ ๊ฒฝํ—˜์  ์ž…์ฆ์„ ํ†ตํ•ด ์ด๋ก ๊ฐœ๋ฐœ์—๋„ ๊ธฐ์—ฌํ•  ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋œ๋‹ค. [์˜๋ฌธ]This study was a methodological study on developing a lifestyle evaluation tool for metabolic syndrome patients.The development of the evaluation tool was executed as follows. The construct factors were identified by reviewing preceding research and checking lifestyle practice guidelines of health institutes and policies related to metabolic syndrome. The preliminary questionnaire was developed through the analyses of previous questionnaire tools. It was then reviewed by ten experts.The pilot study was done with 30 patients with the metabolic syndrome to test the appropriateness of the preliminary tool. The reliability of the tool was Cronbach's ฮฑ of .83. In order to test the validity and reliability of the tool, data was collected from 195 patients with metabolic syndrome who visited the outpatient clinics in the S university Hospital in Seoul.The data analyses were performed by using the SPSS 12.0. First, an item analyses were preformed and three items were removed. In order to test the construct validity of the tool, principal component analyses by Varimax rotation were used and resulted in the extraction of six components. The explanatory power of six components was high with 55.07%. Each component included significant items loading with more than 0.30. Theses six components were named 'physical activity and weight control', 'dietary habits', 'drinking and smoking', 'sleep and rest', 'stress', and 'drugs and health management'. The convergent validity test was performed and resulted in the high correlation of r= .72(p<.001) between Lifestyle Evaluation Tool and Helath Promotion Lifestyle Profile. The discriminant validity test with CES-D(Center for Epidemiologic Studies Depression Scale) was performed and found as a r value of -.15(p<.01).The Internal consistency of the tool had an Cronbach's ฮฑ of .92. The Cronbach's ฮฑ scores for each component were as follows: 'physical activity and weight control' .87, 'dietary habits' .87, 'drinking and smoking' .86, 'sleep and rest' .86, 'stress' .74, and 'drugs and health management' .70.Through the above processes, the self-report format Lifestyle Evaluation Tool for the patients with metabolic syndrome was finally developed with 36 items and four-rating scales : 'physical activity and weight control' eight items, 'dietary habits' sixteen items, 'drinking and smoking' three items, 'sleep and rest' two items, 'stress' three items, 'drugs and health management' four items.The Lifestyle Evaluation Tool for the patients with metabolic syndrome demonstrated high validity and reliability. This Lifestyle Evaluation Tool will evaluate health behaviors in patients with metabolic syndrome. Also, it will contribute to the development of nursing intervention for the improvement of the patients' lifestyle related to various disease risk factors.prohibitio

    ์ž…๊ตฌ ํ˜•์ƒ์— ๋”ฐ๋ฅธ ํšŒ์ „ ์†ก์ถœ๊ณต์˜ ์†ก์ถœํŠน์„ฑ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ธฐ๊ณ„๊ณตํ•™๊ณผ,2000.Maste

    Development of a health information Web site evaluation tool for diabetes mellitus

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    ๊ฐ„ํ˜ธํ•™๊ณผ/์„์‚ฌ[ํ•œ๊ธ€] ์ตœ๊ทผ ์ง€์†์ ์œผ๋กœ ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ๋Š” ๋‹น๋‡จ๋ณ‘์€ ๋งŒ์„ฑ์งˆํ™˜์œผ๋กœ์„œ ์ •๋ณด์— ๋Œ€ํ•œ ๊ฐœ๋ณ„์  ์š”๊ตฌ๊ฐ€ ๋†’๊ณ , ์ž๊ฐ€ ๊ด€๋ฆฌ์— ์น˜๋ฃŒ์˜ ๋ฐฉํ–ฅ์ด ๋งž์ถ”์–ด์ ธ ์žˆ๊ธฐ ๋•Œ๋ฌธ์—, ์ •๋ณด์›์œผ๋กœ์„œ ์ธํ„ฐ๋„ท์˜ ์›น ์‚ฌ์ดํŠธ ํ™œ์šฉ ์‹œ ์ •๋ณด์˜ ์ ์ ˆ์„ฑ ์—ฌ๋ถ€๋Š” ๊ฑด๊ฐ•์ฆ์ง„๊ณผ ๊ด€๋ จํ•˜์—ฌ ์ค‘์š”ํ•œ ๋ฌธ์ œ๋กœ ๋Œ€๋‘๋˜๊ณ  ์žˆ๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ๊ฒ€์ฆ๋œ ๋‹น๋‡จ๋ณ‘ ๊ด€๋ จ ๊ฑด๊ฐ•์ •๋ณด๋ฅผ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•˜๊ณ , ๋‹น๋‡จ๋ณ‘ ๊ด€๋ จ ๊ฑด๊ฐ•์ •๋ณด ์›น ์‚ฌ์ดํŠธ์˜ ๊ฐœ๋ฐœ๋ฐฉํ–ฅ์„ ์ œ์‹œํ•  ์ˆ˜ ์žˆ๋Š” ๋‹น๋‡จ๋ณ‘ ๊ด€๋ จ ๊ฑด๊ฐ•์ •๋ณด ์›น ์‚ฌ์ดํŠธ ํ‰๊ฐ€๊ธฐ์ค€์„ ๊ฐœ๋ฐœํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ์—ฐ๊ตฌ๋ฐฉ๋ฒ•์œผ๋กœ๋Š” ๊ตญ๋‚ด์™ธ ๊ฑด๊ฐ•์ •๋ณด ์›น ์‚ฌ์ดํŠธ ํ‰๊ฐ€๊ธฐ์ค€๊ณผ ๋ฌธํ—Œ ๊ณ ์ฐฐ์„ ํ†ตํ•ด ํ‰๊ฐ€ํ•ญ๋ชฉ์— ๋Œ€ํ•œ ์˜ˆ๋น„๋‚ด์šฉ์„ ์›น ์‚ฌ์ดํŠธ ์†์„ฑ(attributes) ํ‰๊ฐ€ํ•ญ๋ชฉ๊ณผ ๋‹น๋‡จ๋ณ‘ ์ •๋ณด๋‚ด์šฉ ํ‰๊ฐ€ ํ•ญ๋ชฉ์œผ๋กœ ๊ตฌ์„ฑํ•˜์˜€๋‹ค. ์˜ˆ๋น„๋‚ด์šฉ์˜ ํ‰๊ฐ€ํ•ญ๋ชฉ์— ๋Œ€ํ•œ ์ „๋ฌธ๊ฐ€ ํƒ€๋‹น๋„์™€ ์ž„์ƒ์ ์šฉ๊ฐ€๋Šฅ์„ฑ์„ ๊ฒ€์ฆ ํ•œ ํ›„ ์ตœ์ข… ๋‹น๋‡จ๋ณ‘ ๊ด€๋ จ ๊ฑด๊ฐ•์ •๋ณด ์›น ์‚ฌ์ดํŠธ์˜ ํ‰๊ฐ€๊ธฐ์ค€์„ ์ž‘์„ฑํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. 1. ๋‹น๋‡จ๋ณ‘ ๊ด€๋ จ ๊ฑด๊ฐ•์ •๋ณด ํ‰๊ฐ€๊ธฐ์ค€์„ ์œ„ํ•œ ์˜ˆ๋น„๋‚ด์šฉ์„ ๊ตญ๋‚ด์™ธ ์›น ์‚ฌ์ดํŠธ ํ‰๊ฐ€ ๊ธฐ์ค€๊ณผ ๋ฌธํ—Œ ๊ณ ์ฐฐ์„ ํ†ตํ•ด ์›น ์‚ฌ์ดํŠธ ์†์„ฑ(attributes) ํ‰๊ฐ€ 9์˜์—ญ, 37ํ•ญ๋ชฉ๊ณผ ๋‹น๋‡จ๋ณ‘ ์ •๋ณด๋‚ด์šฉ ํ‰๊ฐ€ 7์˜์—ญ, 43ํ•ญ๋ชฉ์„ ์„ ์ •ํ•˜์˜€๋‹ค. 2. ์˜ˆ๋น„๋‚ด์šฉ์— ๋Œ€ํ•œ ์ „๋ฌธ๊ฐ€ ํƒ€๋‹น๋„๋ฅผ ๊ฒ€์ฆ ๊ฒฐ๊ณผ CVI(Index of content validity) 80%์ด์ƒ์˜ ์ „๋ฌธ๊ฐ€ ์ง‘๋‹จ์—์„œ ํ•ฉ์˜๋ฅผ ์ด๋ฃฌ ํ•ญ๋ชฉ๊ณผ ์ „๋ฌธ๊ฐ€ ์ง‘๋‹จ์—์„œ ๋‚˜์˜จ ์˜๊ฒฌ๋“ค์„ ์ˆ˜๋ ดํ•˜์—ฌ ์˜ˆ๋น„๋‚ด์šฉ์„ ์ˆ˜์ •, ๋ณด์™„ํ•˜์˜€๋‹ค. ์ „๋ฌธ๊ฐ€ ํƒ€๋‹น๋„ ๊ฒ€์ฆ ํ›„ ์›น ์‚ฌ์ดํŠธ ์†์„ฑ(attributes) ํ‰๊ฐ€ 8์˜์—ญ, 28ํ•ญ๋ชฉ, ๋‹น๋‡จ๋ณ‘ ์ •๋ณด๋‚ด์šฉ ํ‰๊ฐ€ 7์˜์—ญ, 42ํ•ญ๋ชฉ์œผ๋กœ ์ •๋ฆฌ๋˜์—ˆ๋‹ค. 3. ํƒ€๋‹น๋„ ๊ฒ€์ฆ ํ›„ ์ˆ˜์ •๋œ ํ‰๊ฐ€๊ธฐ์ค€์˜ ์ž„์ƒ์ ์šฉ๊ฐ€๋Šฅ์„ฑ ๊ฒ€์ฆ์„ ํ˜„์žฌ ์ œ๊ณต๋˜๊ณ  ์žˆ๋Š” ๋‹น๋‡จ๋ณ‘ ๊ด€๋ จ ๊ฑด๊ฐ•์ •๋ณด ์›น ์‚ฌ์ดํŠธ 15๊ฐœ๋ฅผ ๋Œ€์ƒ์œผ๋กœ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ์ž„์ƒ์ ์šฉ ๊ฐ€๋Šฅ์„ฑ ๊ฒ€์ฆ ํ›„, ์›น ์‚ฌ์ดํŠธ ์†์„ฑ(attributes) ํ‰๊ฐ€ 1ํ•ญ๋ชฉ, ๋‹น๋‡จ๋ณ‘ ์ •๋ณด๋‚ด์šฉ ํ‰๊ฐ€ 4ํ•ญ๋ชฉ์„ ์ˆ˜์ • ๋˜๋Š” ์‚ญ์ œํ•˜์˜€๋‹ค. ๋˜ํ•œ, ๋‹น๋‡จ๋ณ‘ ์ •๋ณด๋‚ด์šฉ ํ‰๊ฐ€๋Š” ํ•ญ๋ชฉ๋ณ„ ''๋‚ด์šฉ์˜ ๊ตฌ์„ฑ์š”์†Œ ํ‰๊ฐ€''์™€ ์˜์—ญ๋ณ„ ''์ •ํ™•์„ฑ'', ''์œ ํ•ด์„ฑ'', ''์ดํ•ด๊ฐ€๋Šฅ์„ฑ''์— ๋Œ€ํ•œ ํ‰๊ฐ€๋กœ ํ‰๊ฐ€ ๊ธฐ์ค€์ด ์ˆ˜์ •๋˜์—ˆ์œผ๋ฉฐ, ํ‰๊ฐ€๋‚ด์šฉ์˜ ๊ตฌ์ฒด์ ์ธ ๊ธฐ์ค€์ด ์ถ”๊ฐ€๋˜์—ˆ๋‹ค. 4. ํƒ€๋‹น๋„์™€ ์ž„์ƒ์ ์šฉ๊ฐ€๋Šฅ์„ฑ ๊ฒ€์ฆ์„ ํ†ตํ•ด ์ž‘์„ฑ๋œ ๋‹น๋‡จ๋ณ‘ ๊ด€๋ จ ๊ฑด๊ฐ•์ •๋ณด ์›น ์‚ฌ์ดํŠธ ํ‰๊ฐ€๊ธฐ์ค€์€ ์›น ์‚ฌ์ดํŠธ ์†์„ฑ(attributes) ํ‰๊ฐ€๊ธฐ์ค€์œผ๋กœ ''๋ชฉ์ ์„ฑ'', ''์‹ ๋ขฐ์„ฑ'', ''์ƒํ˜ธ ์ž‘์šฉ์„ฑ'', ''์ตœ์‹ ์„ฑ'', ''์‚ฌ์šฉ์˜ ์šฉ์ด์„ฑ'', ''๊ธฐ๋Šฅ์„ฑ'', ''๋””์ž์ธ'', ''๋น„๋ฐ€๋ณด์žฅ์„ฑ''์˜ 8์˜์—ญ, 28ํ•ญ๋ชฉ์ด ๊ฐœ๋ฐœ๋˜์—ˆ์œผ๋ฉฐ, ๋‹น๋‡จ๋ณ‘ ์ •๋ณด๋‚ด์šฉ ํ‰๊ฐ€๊ธฐ์ค€์œผ๋กœ๋Š” ''๋‹น๋‡จ๋ณ‘์˜ ๊ธฐ๋ณธ์ง€์‹'', ''๋‹น๋‡จ๋ณ‘์˜ ์น˜๋ฃŒ'', ''๋‹น๋‡จ๋ณ‘์˜ ๊ธ‰์„ฑํ•ฉ๋ณ‘์ฆ'', ''๋‹น๋‡จ๋ณ‘์˜ ๋งŒ์„ฑํ•ฉ๋ณ‘์ฆ'', ''๋‹น๋‡จ๋ณ‘์˜ ์ž๊ฐ€ ๊ด€๋ฆฌ'', ''ํŠน์ˆ˜์ƒํ™ฉ์˜ ๋‹น๋‡จ๋ณ‘'', ''๊ธฐํƒ€ ๋‹น๋‡จ๋ณ‘ ๊ด€๋ จ์ •๋ณด''์˜ 7์˜์—ญ, 40ํ•ญ๋ชฉ์„ ''๋‚ด์šฉ์˜ ๊ตฌ์„ฑ์š”์†Œ ํ‰๊ฐ€''์™€ ''์˜์—ญ๋ณ„ ๋‚ด์šฉ ํ‰๊ฐ€''๋ฅผ ํ•  ์ˆ˜ ์žˆ๊ฒŒ ๊ฐœ๋ฐœ๋˜์—ˆ์œผ๋ฉฐ, ''์˜์—ญ๋ณ„ ๋‚ด์šฉ ํ‰๊ฐ€''๋Š” ''์ •ํ™•์„ฑ'' 4๋ฌธํ•ญ, ''์œ ํ•ด์„ฑ'' 6๋ฌธํ•ญ, ''์ดํ•ด๊ฐ€๋Šฅ์„ฑ'' 3๋ฌธํ•ญ์˜ ํ‰๊ฐ€๊ธฐ์ค€๋“ค๋กœ ๊ตฌ์„ฑ๋˜์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๋‹น๋‡จ๋ณ‘ ๊ด€๋ จ ๊ฑด๊ฐ•์ •๋ณด์ œ๊ณต์— ์žˆ์–ด ๊ฐ€์ด๋“œ ๊ฐ€์ธ์„ ์ œ์‹œํ•˜์—ฌ, ๊ฑด๊ฐ•์ •๋ณด์ œ๊ณต์ž ์Šค์Šค๋กœ ์–‘์งˆ์˜ ์ •๋ณด๋ฅผ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•˜๊ธฐ ์œ„ํ•œ ์ ‘๊ทผ๋ฒ•์œผ๋กœ์จ, ๋‹น๋‡จ๋ณ‘ ๊ด€๋ จ ๊ฑด๊ฐ•์ •๋ณด ์›น ์‚ฌ์ดํŠธ๋ฅผ ํ‰๊ฐ€ํ•˜์—ฌ ๊ฒ€์ฆ๋œ ์–‘์งˆ์˜ ๊ฑด๊ฐ•์ •๋ณด๋ฅผ ์†Œ๋น„์ž์—๊ฒŒ ์ œ๊ณตํ•˜๋Š”๋ฐ ๋„์›€์ด ๋  ๊ฒƒ์ด๋ฉฐ, ๋˜ํ•œ ํ–ฅํ›„ ๋‹น๋‡จ๋ณ‘ ๊ด€๋ จ ๊ฑด๊ฐ•์ •๋ณด ์›น ์‚ฌ์ดํŠธ์˜ ๊ฐœ๋ฐœ๋ฐฉํ–ฅ์„ ์ œ๊ณตํ•˜๋Š” ๋ฐ ๋„์›€์ด ๋  ๊ฒƒ์ด๋‹ค. [์˜๋ฌธ]Recently, there has been a continuous increase in diabetes mellitus as a chronic disease, and the direction of treatment has focused on self care. The patients need individualized information, but the appropriateness of information on Internet Web site source, is an important problem. The purpose of this study was to develop a health information Web site evaluation tool for diabetes mellitus in order to offer verified health information, and to propose directions for development of web sites. A preliminary tool was developed using domestic and foreign web site evaluation standards for health information and through a review of the literature. The tool was composed of ''evaluation for web site attributes'' and ''evaluation for content information on diabetes mellitus''. Through expert validity tests and a feasibility test of the preliminary tool, the health information Web site evaluation tool for diabetes mellitus was finalized. The results of this study are as follows: 1. A preliminary tool was developed using domestic and foreign web site evaluation standards for health information and through a review of the literature. The tool was composed of ''evaluation for web site attributes'' and ''evaluation for content information on diabetes mellitus''. For the ''evaluation for web site attributes'' 9 categories with 37 items were developed, and for the ''evaluation for content information on diabetes mellitus'' 7 categories with 43 items were developed. 2. After expert validity test, the preliminary tool was modified according to whether the items received expert validity of over 80% agreement and according to expert opinions. The ''evaluation for web site attributes'' was reduced to 8 categories with 28 items, and the ''evaluation for content information on diabetes mellitus'' was kept at 7 categories but with only 42 items. 3. As a feasibility test, 15 current sites for diabetes mellitus information were evaluated. After the feasibility test, 1 item for ''evaluation for web site attributes'', and 4 items for ''evaluation for content information on diabetes mellitus'' were deleted or modified. To the ''evaluation for content information on diabetes mellitus'' evaluation items on ''content component evaluation'', ''accuracy'', ''harmfulness'', and ''readability'' including concrete standards were added. 4. After the expert validity test and feasibility test, the health information Web site evaluation tool for diabetes mellitus was finalized. This evaluation tool included ''evaluation for web site attributes'' and ''evaluation for content information on diabetes mellitus''. ''Evaluation for web site attributes included ''purposefulness'', ''trustworthiness'', ''interactivity'', ''currency'', ''ease of use'', ''functionality'', ''design'', and ''privacy'' in 8 categories with 28 items. The ''evaluation for content information on diabetes mellitus'' included ''basic knowledge of diabetes mellitus,'' ''treatment'', ''acute complications'', ''chronic complications'', ''self care'', ''special circumstances in diabetes mellitus'', ''others diabetes mellitus information'' in 7 categories with 40 items. ''Evaluation component for content'' and ''evaluation of category content'' included 4 items on ''accuracy'', 6 on ''harmfulness'' and 3 on ''readability''. From this study guidelines are propose for providing health information for diabetes mellitus, so that health information providers will be able to offer consumers verified good quality health information themselves. This tool will be effective for consumers to verify health information. It also provides direction for development of web sites.ope

    Development of Cyber Counseling Program for Hospice

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    Purpose: The purpose of this study is to enhance the quality of life for the terminal patients and their family by providing counseling service through a hospice counseling homepage, thus activating hospice service and contributing to our national health. Methods: The study was methodologically conducted to assess the homepage developed and to professionally verify the counseling flow. Results: The cyber hospice homepage was developed between January 2004 and August 2004, whereby its counseling service was operated. The homepage included introduction, news (announcement), on-line lectures, community site for hospice clients, hospice counseling, and related links. As a result of assessing the site and of verifying the reliability of counseling service, the counseling flow was unanimously approved by the professionals. Conclusion: The cyber counseling for hospice was conducted to enhance the quality of life for the terminal patients and their family and to activate hospice service. It is required to train professional hospice cyber counselors and to establish systematic promotional strategies for activation of the cyber counseling site.ope

    Factors related to incidence of eye disorders in Korean patients at intensive care units

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    AIMS: the purpose of this study was to identify the incidence rate of eye disorders and further to identify factors related to incidence of eye disorders in intensive care unit patients. BACKGROUND: Although the incidence of eye disorders in intensive care unit patients is very high, it is difficult to come to an accurate estimate of number of eye disorders in intensive care unit patients because eye disorders are often perceived to be minor problems. DESIGN: A retrospective, descriptive survey design was used. METHOD: the medical records of a total 235 patients with eye disorders were identified through a review of the medical records of 2,500 patients hospitalised in the intensive care units of Yonsei University Hospital, Seoul, Korea from January to December, 2004. To examine factors related to eye disorders, 522 patients without eye disorders from the cohort of 2,265 patients were randomly selected. Factors related to incidence of eye disorder were included in a multiple logistic regression model, after screening by the chi-squared test. RESULTS: the incidence rate for eye disorders in the intensive care unit patients was 8.6%. From the multiple regression model, the following odds ratios (95% confidence intervals) of eye disorder were estimated; length of stay in intensive care unit of at least seven days: 2.8 (1.70-4.70); death: 2.5 (1.47-4.29); drowsy mental state: 2.2 (1.10-4.37); stupor mental state: 7.0 (3.20-15.45); coma mental state: 10.8 (3.47-33.74); no self-respiration: 1.9 (1.00-3.52); positive end expiratory pressure: 2.9 (1.66-4.92); sedatives: 4.2 (2.26-7.74); muscle relaxants: 2.3 (1.11-4.95). CONCLUSIONS: Factors related to incidence of eye disorders in intensive care unit patients identified in this study support the need to pay attention to eye problems and eye care in intensive care unit patients. RELEVANCE TO CLINICAL PRACTICE: An evidence-based eye care protocol should be provided as routine care to prevent eye complication, especially in critically ill patients with mechanical ventilators, positive end expiratory pressure, sedatives or muscle relaxants and for patients whose mental status is decreased.ope
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