31 research outputs found

    Quantitative light-induced fluorescence-digital (QLF-D)์„ ์ด์šฉํ•œ ๋ฒ•๋ž‘์งˆ ๊ท ์—ด ํƒ์ง€

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    ์น˜๊ณผ๋Œ€ํ•™/์„์‚ฌํ˜„๋Œ€ ์˜ํ•™ ๊ธฐ์ˆ ์˜ ๋ฐœ๋‹ฌ๊ณผ ์‚ถ์˜ ์งˆ์˜ ๊ฐœ์„ ์œผ๋กœ ์งˆ๋ณ‘์˜ ์กฐ๊ธฐ ๋ฐœ๊ฒฌ ๋ฐ ์น˜๋ฃŒ ์ดํ–‰์ด ๋†’์•„์ง์œผ๋กœ์จ ํ‰๊ท ์ˆ˜๋ช…์ด ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ๋‹ค. ์ด์— ๋”ฐ๋ผ ์น˜์•„์˜ ์ž”์กด ์ˆ˜์™€ ์ˆ˜๋ช…์ด ์ฆ๊ฐ€ํ•˜๊ฒŒ ๋˜์–ด ์น˜์•„๊ท ์—ด์˜ ๋ฐœ์ƒ๋นˆ๋„์™€ ์ดํ™˜์œจ์ด ๋†’์•„์ง€๋Š” ์ถ”์„ธ์ด๋‹ค. ์น˜์•„๊ท ์—ด์€ ์ฃผ๋กœ ์„ฑ์ธ์—๊ฒŒ์„œ ๋ฐœ์ƒํ•˜๋Š” ์งˆ๋ณ‘์œผ๋กœ ์•Œ๋ ค์ ธ ์žˆ์œผ๋ฉฐ, ์น˜์•„๊ท ์—ด์˜ ์›์ธ์š”์†Œ๋Š” ๋งค์šฐ ๋‹ค์–‘ํ•˜๊ณ  ๋ณตํ•ฉ์ ์œผ๋กœ ์ผ์–ด๋‚œ๋‹ค. ๊ท ์—ด์˜ ์ง„ํ–‰ ๋ฒ”์œ„์™€ ์ •๋„์— ๋”ฐ๋ผ ์ฆ์ƒ์ด ๋‹ค๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚˜๊ธฐ ๋•Œ๋ฌธ์— ์ž„์ƒ์—์„œ ์น˜์•„๊ท ์—ด์˜ ์ง„๋‹จ์€ ๋งค์šฐ ์–ด๋ ค์šด ๋ฌธ์ œ๋กœ ๋ถ€๊ฐ ๋˜์–ด ์™”์œผ๋ฉฐ ์ด์— ๋”ฐ๋ฅธ ์น˜๋ฃŒ๋ฒ• ์„ ํƒ์˜ ์–ด๋ ค์›€์ด ์žˆ๋‹ค. ์น˜์•„๊ท ์—ด์˜ ์กฐ๊ธฐ ์ง„๋‹จ์€ ์„ฑ๊ณต์ ์ธ ์ˆ˜๋ณต๋ฌผ ์œ ์ง€ ๋ฐ ์˜ˆํ›„์™€ ๊ด€๋ จ๋˜์–ด ์ค‘์š”ํ•˜๋‹ค. ์ด์— ๋”ฐ๋ผ ์น˜์•„๊ท ์—ด์˜ ์ง„ํ–‰๋œ ๊นŠ์ด์™€ ๋ฐฉํ–ฅ์„ ์‹œ์ง„๋ณด๋‹ค ๊ฐ๊ด€์ ์ด๊ณ  ์ •ํ™•ํ•˜๊ฒŒ ํƒ์ง€ํ•  ์ˆ˜ ์žˆ๋Š” ํƒ์ง€์žฅ๋น„๋ฅผ ๊ฐœ๋ฐœ์— ๋Œ€ํ•œ ์š”๊ตฌ๊ฐ€ ์ฆ๋Œ€ ํ•˜๊ณ  ์žˆ๋‹ค. ์ตœ๊ทผ ์†Œ๊ฐœ๋œ QLF-D (Quantitative Light-induced Fluorescence-Digital)๋Š” 405 nm์˜ ํŒŒ์žฅ์˜ ๋น›์„ ์กฐ์‚ฌํ•จ์œผ๋กœ์จ ๋ฐœํ˜„๋˜๋Š” ํ˜•๊ด‘๋ฐ˜์‘์„ ์ด์šฉํ•˜๋Š” ์ง„๋‹จ ์žฅ๋น„๋กœ ๊ท ์—ด ๋ณ‘์†Œ์™€ ๊ฑด์ „ ์น˜๋ฉด์˜ ํ˜•๊ด‘๋ฐœํ˜„์˜ ์ฐจ์ด๋ฅผ ํƒ์ง€ํ•˜๊ณ  ์ˆ˜์น˜ํ™” ํ•  ์ˆ˜ ์žˆ๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ๋ฒ•๋ž‘์งˆ ๊ท ์—ด์„ ์ƒˆ๋กญ๊ฒŒ ํƒ์ง€ ํ•  ์ˆ˜ ์žˆ๋Š” ๊ด‘ํ•™์ ์ธ ๋ฐฉ๋ฒ•์ธ QLF-D์™€ ๊ด‘ ๊ฒฐ๋งž์Œ ์˜์ƒ์žฅ์น˜(OCT)๋ฅผ ์ด์šฉํ•˜์—ฌ gold standard์ธ ์กฐ์งํ•™์  ํ‰๊ฐ€์™€ ๋น„๊ตํ•˜์—ฌ ํƒ€๋‹น๋„๋ฅผ ํ‰๊ฐ€ํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์—ฐ์„ธ๋Œ€ํ•™๊ต ์น˜๊ณผ๋Œ€ํ•™๋ณ‘์› ์—ฐ๊ตฌ์‹ฌ์˜์œ„์›ํšŒ(IRB 14-0067)์˜ ์Šน์ธ์„ ๋ฐ›์•„ ์ง„ํ–‰๋˜์—ˆ๋‹ค. ๋ฐœ์น˜ ๋œ ์น˜์•„ ์ค‘ ์‹œ์ง„๊ณผ ๊ด‘ ํˆฌ๊ณผ๊ฒ€์‚ฌ(Transillumination)๋ฅผ ์ด์šฉํ•˜์—ฌ ๊ท ์—ด๋กœ ์˜์‹ฌ ๋˜๋Š” ์น˜์•„๋ฅผ ๋Œ€์ƒ์น˜์•„๋กœ ์„ ์ •ํ•˜์˜€๋‹ค. QLF-D์™€ OCT์˜ ์ดฌ์˜ ์ดํ›„ ๋งˆ์ง€๋ง‰์œผ๋กœ ํŒŒ๊ดด์ ์ธ ๋ถ„์„ ๋ฐฉ๋ฒ•์ธ PLM์œผ๋กœ ์ธก์ •ํ•˜์—ฌ ๊ท ์—ด์˜ ์‹ฌ๋„๋ฅผ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. QLF-D๋กœ ์ดฌ์˜ํ•œ ์ด๋ฏธ์ง€๋Š” ์ „์šฉ ๋ถ„์„ ํ”„๋กœ๊ทธ๋žจ์„ ์ด์šฉํ•˜์—ฌ ๏ผŸF max๊ฐ’์„ ์‚ฐ์ถœํ•˜๋Š” ์ •๋Ÿ‰์ ์ธ ๋ฐฉ๋ฒ•์„ ํ†ตํ•ด ๊ท ์—ด์„ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. OCT๋Š” ๊ท ์—ด ๋ณ‘์†Œ์˜ ํšก๋‹จ๋ฉด ์ด๋ฏธ์ง€๋ฅผ ์Šค์บ” ํ•˜์—ฌ ๊ท ์—ด ์‹ฌ๋„๋ฅผ ์ •์„ฑ์ ์ธ ๋ฐฉ๋ฒ•์œผ๋กœ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ๋ชจ๋“  ํ‰๊ฐ€๋ฅผ ๋งˆ์นœ ๋’ค, ํŽธ๊ด‘ํ˜„๋ฏธ๊ฒฝ์„ ์ด์šฉํ•˜์—ฌ ๊ท ์—ด ๋ณ‘์†Œ ๊นŠ์ด๋ฅผ ์กฐ์งํ•™์ ์œผ๋กœ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ๊ท ์—ด ๋ณ‘์†Œ์˜ ์‹ฌ๋„์— ๋”ฐ๋ผ ๋ฒ•๋ž‘์งˆ ๋‘๊ป˜์˜ 1/2 ์ด์ƒ์ด๋‚˜ ๋ฒ•๋ž‘์ƒ์•„๊ฒฝ๊ณ„๊นŒ์ง€ ์นจ๋ฒ”ํ•˜์ง€ ์•Š์€ ๊ท ์—ด๊ณผ ๋ฒ•๋ž‘์ƒ์•„๊ฒฝ๊ณ„๊นŒ์ง€ ์นจ๋ฒ”๋œ ๊ท ์—ด์„ ํƒ์ง€ํ•˜๋Š” ๋ชจ๋“  ๊ฒ€์‚ฌ๋ฒ•์˜ ํƒ€๋‹น๋„๋ฅผ ํ‰๊ฐ€ํ•˜๊ณ  ๋น„๊ต ํ•˜๊ธฐ ์œ„ํ•ด ๊ท ์—ด ์‹ฌ๋„์˜ ์กฐ์งํ•™์  ๊ตฌ๋ถ„์— ๋”ฐ๋ผ QLF-D ๋ฐ SS-OCT ํƒ์ง€๋ฒ•์˜ ๋ฏผ๊ฐ๋„ ํŠน์ด๋„ ๋ฐ Area under the ROC curve(AUC)๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค. ๊ท ์—ด ๋ณ‘์†Œ์˜ ์กฐ์งํ•™์  ํ‰๊ฐ€์™€ QLF-D ๋ฐ OCT ํƒ์ง€๋ฒ•๊ณผ์˜ ๊ด€๋ จ์„ฑ์€ Spearmanโ€™s rank correlation๊ณผ Kappa value๋กœ ๊ฒ€์ •ํ•˜์˜€๋‹ค ํƒ€๋‹น๋„ ํ‰๊ฐ€ ๊ฒฐ๊ณผ, ๋ฒ•๋ž‘์งˆ ๋‘๊ป˜์˜ 1/2 ์ด์ƒ์ด๋‚˜ ๋ฒ•๋ž‘์ƒ์•„๊ฒฝ๊ณ„๊นŒ์ง€ ์นจ๋ฒ”ํ•˜์ง€ ์•Š์€ ๊ท ์—ด์—์„œ ์ •์„ฑ์ ์ธ ๋ฐฉ๋ฒ•์ธ OCT๋Š” ๋ฏผ๊ฐ๋„ 0.83, ํŠน์ด๋„ 0.86์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ์ •๋Ÿ‰์ ์ธ ๋ฐฉ๋ฒ•์ธ QLF-D์˜ ฮ”F max value๋Š” ๋ฏผ๊ฐ๋„ 0.87, ํŠน์ด๋„ 0.98์˜ ํƒ€๋‹น๋„๋ฅผ ๋ณด์˜€๋‹ค. ๋ฒ•๋ž‘์ƒ์•„๊ฒฝ๊ณ„๊นŒ์ง€ ์นจ๋ฒ”๋œ ๊ท ์—ด์—์„œ ์ •์„ฑ์ ์ธ ๋ฐฉ๋ฒ•์ธ OCT๋Š” ๋ฏผ๊ฐ๋„ 0.7, ํŠน์ด๋„ 0.97์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ์ •๋Ÿ‰์ ์ธ ๋ฐฉ๋ฒ•์ธ QLF-D์˜ ฮ”F max value๋Š” ๋ฏผ๊ฐ๋„ 0.9, ํŠน์ด๋„ 1๋กœ QLF-D์˜ ฮ”F max value๊ฐ€ ๊ฐ€์žฅ ๋†’์€ ํƒ€๋‹น๋„๋ฅผ ๋ณด์ด๋Š” ๊ฒƒ์œผ๋กœ ํ‰๊ฐ€๋˜์—ˆ๋‹ค. ์กฐ์งํ•™์  ํ‰๊ฐ€์™€ ์ƒ๊ด€๋ถ„์„ ๊ฒฐ๊ณผ OCT๋Š” 0.77(p<0.01) ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, QLF-D์˜ ฮ”F max value๊ฐ€ 0.84(p<0.01)๋กœ ๋†’์€ ์ƒ๊ด€์„ฑ์„ ๋ณด์˜€๋‹ค. ๊ฒฐ๋ก ์ ์œผ๋กœ, QLF-D ์˜ ฮ”F max value๋ฅผ ์ด์šฉํ•œ ๋ฒ•๋ž‘์งˆ ๊ท ์—ด ํƒ์ง€๋ฒ•์ด ๊ฐ€์žฅ ๋†’์€ ํƒ€๋‹น๋„๋ฅผ ๋ณด์˜€๋‹ค. ๋”ฐ๋ผ์„œ QLF-D๋Š” ๋ฒ•๋ž‘์งˆ ๊ท ์—ด์„ ํ‰๊ฐ€ํ•˜๋Š”๋ฐ ํšจ๊ณผ์ ์ธ ์žฅ๋น„๋กœ ์‚ฌ๋ฃŒ๋œ๋‹ค.ope

    Structural Equation Modeling on Self-Management for Liver Transplant Recipients

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ฐ„ํ˜ธํ•™๊ณผ ๊ฐ„ํ˜ธํ•™ ์ „๊ณต, 2016. 2. ๋ฐ•์—ฐํ™˜.๊ฐ„์ด์‹์€ ๊ฐ„๊ฒฝ๋ณ€์ฆ, ์ „๊ฒฉ์„ฑ ๊ฐ„๋ถ€์ „ ๋“ฑ์˜ ๊ฐ„์งˆํ™˜์ด ์ง„ํ–‰๋˜์–ด ๋” ์ด์ƒ ๋‚ดยท์™ธ๊ณผ์  ์น˜๋ฃŒ๋ฒ•์— ๋ฐ˜์‘ํ•˜์ง€ ์•Š์•„ ์ •์ƒ์ ์ธ ๊ธฐ๋Šฅ์„ ์œ ์ง€ ํ•  ์ˆ˜ ์—†์„ ๋•Œ ์‹œํ–‰๋˜๋Š” ์ˆ˜์ˆ ๋กœ, ์šฐ๋ฆฌ๋‚˜๋ผ๋Š” ๋งŒ์„ฑ Bํ˜• ๊ฐ„์—ผ ์œ ๋ณ‘๋ฅ ๊ณผ ๊ฐ„์•”์˜ ๋ฐœ์ƒ๋ฅ ์ด ๋†’์•„ ์„ธ๊ณ„์—์„œ 4๋ฒˆ์งธ๋กœ ๋งŽ์€ ๊ฐ„์ด์‹ ์ˆ˜์ˆ ์ด ์‹œํ–‰๋˜๊ณ  ์žˆ๋‹ค. ๊ฐ„์ด์‹ ์ˆ˜ํ˜œ์ž๋Š” ๊ฐ„์ด์‹ ์ˆ˜์ˆ  ํ›„์—๋„ ํ‰์ƒ ๋™์•ˆ ์›์ธ์งˆํ™˜์˜ ์žฌ๋ฐœ ๋ฐฉ์ง€ ์น˜๋ฃŒ ๋ฐ ๋ฉด์—ญ์–ต์ œ์ œ ํˆฌ์•ฝ ๋“ฑ์œผ๋กœ ํ™˜์ž ์—ญํ• ์„ ์ง€์†ํ•˜๊ฒŒ ๋˜์–ด, ๋ณ€ํ™”๋œ ์‚ถ์— ํšจ๊ณผ์ ์œผ๋กœ ๋Œ€์ฒ˜ํ•˜๊ณ , ์ž˜ ์ ์‘ํ•  ์ˆ˜ ์žˆ๋„๋ก ์ž๊ธฐ๊ด€๋ฆฌ๋ฅผ ๊พธ์ค€ํžˆ ํ•ด์•ผ ํ•œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” Deci์™€ Ryan์˜ ์ž๊ธฐ๊ฒฐ์ •์„ฑ์ด๋ก ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ๊ฐ„์ด์‹ ์ˆ˜ํ˜œ์ž์˜ ์ž๊ธฐ๊ด€๋ฆฌ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ๋“ค์ด ํฌํ•จ๋œ ๊ฐ€์„ค์  ๋ชจํ˜•์„ ๊ตฌ์ถ•ํ•œ ํ›„ ๋ณ€์ˆ˜๋“ค ๊ฐ„์˜ ๊ฒฝ๋กœ๋ฅผ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•œ ๋ชฉ์ ์œผ๋กœ ์ˆ˜ํ–‰๋˜์—ˆ๋‹ค. ๊ฐ„์ด์‹ ์ˆ˜ํ˜œ์ž์˜ ์ž๊ธฐ๊ด€๋ฆฌ ๊ด€๋ จ ๋ณ€์ˆ˜๋“ค์€ ๊ทผ๊ฐ„์ด๋ก ๊ณผ ๋ฌธํ—Œ๊ณ ์ฐฐ์„ ๊ทผ๊ฑฐ๋กœ ์„ ์ •ํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ์™ธ์ƒ๋ณ€์ˆ˜๋Š” ๋ณด๊ฑด์˜๋ฃŒ ์ „๋ฌธ๊ฐ€์˜ ์ž์œจ์„ฑ ์ง€์ง€, ์ด์‹๊ด€๋ จ ํŠน์„ฑ, ์งˆ๋ณ‘์ธ์‹์ด๋ฉฐ, ๋‚ด์ƒ๋ณ€์ˆ˜๋Š” ์ž์œจ์„ฑ, ์œ ๋Šฅ์„ฑ, ๊ฐ€์กฑ ๊ด€๊ณ„์„ฑ, ์šฐ์šธ, ์ž๊ธฐ๊ด€๋ฆฌ์ด๋‹ค. ๋ณด๊ฑด์˜๋ฃŒ ์ „๋ฌธ๊ฐ€์˜ ์ž์œจ์„ฑ ์ง€์ง€, ์ด์‹๊ด€๋ จ ํŠน์„ฑ, ์งˆ๋ณ‘์ธ์‹์ด ์ง์ ‘์ ์œผ๋กœ ์˜ํ–ฅ์„ ๋ฏธ์น˜๊ฑฐ๋‚˜ ์ž์œจ์„ฑ, ์œ ๋Šฅ์„ฑ, ๊ฐ€์กฑ ๊ด€๊ณ„์„ฑ, ์šฐ์šธ์„ ๋งค๊ฐœ๋กœ ๊ฐ„์ ‘์ ์œผ๋กœ ์ž๊ธฐ๊ด€๋ฆฌ์— ์˜ํ–ฅ์„ ๋ฏธ์นœ๋‹ค๋Š” ๊ฐ€์„ค์  ๋ชจํ˜•์„ ๊ตฌ์ถ•ํ•˜๊ณ  ๊ฒ€์ฆํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ ๋Œ€์ƒ์ž๋Š” 2015๋…„ 8์›” 16์ผ๋ถ€ํ„ฐ 9์›” 1์ผ๊นŒ์ง€ ์„œ์šธ ์†Œ์žฌ ์ผ๊ฐœ ์ข…ํ•ฉ๋ณ‘์›์—์„œ ๊ฐ„์ด์‹ ํ›„ ์™ธ๋ž˜ ์ถ”์ ๊ด€์ฐฐ ์ค‘์ธ ๊ฐ„์ด์‹ ์ˆ˜ํ˜œ์ž 275๋ช…์ด์—ˆ๋‹ค. ์ž๋ฃŒ ์ˆ˜์ง‘์€ ๊ตฌ์กฐํ™”๋œ ์„ค๋ฌธ์ง€๋ฅผ ์ด์šฉํ•˜์˜€์œผ๋ฉฐ, SPSS 23.0๊ณผ AMOS 22.0์„ ์ด์šฉํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€๋‹ค. ๊ฐ€์„ค์  ๋ชจํ˜•์˜ ์ ํ•ฉ๋„๋ฅผ ์‚ดํŽด๋ณด๋ฉด, ๊ธฐ์ดˆ๋ถ€ํ•ฉ์ง€์ˆ˜(goodness of fit index, GFI)๋Š” .961, ์ˆ˜์ •๋ถ€ํ•ฉ์ง€์ˆ˜(adjusted goodness of fit index, AGFI)๋Š” .913, ๋น„๊ต์ ํ•ฉ์ง€์ˆ˜(comparative fit index, CFI)๋Š” .964, ํ‘œ์ค€๋ถ€ํ•ฉ์ง€์ˆ˜(Normed fit index, NFI)๋Š” .926, ํ„ฐ์ปค-๋ฃจ์ด์Šค์ง€์ˆ˜(Tucker- Lewis index, TLI)๋Š” .931, ๊ทผ์‚ฌ์˜ค์ฐจํ‰๊ท ์ œ๊ณฑ์˜ ์ด์ค‘๊ทผ(root mean squared error of approximation, RMSEA)์€ .055, ๊ฐ„๋ช…๋ถ€ํ•ฉ์ง€์ˆ˜(parsimonious goodness of fit index, PGFI)๋Š” .433, ๊ฐ„๋ช…ํ‘œ์ค€๋ถ€ํ•ฉ์ง€์ˆ˜(parsimonious normed fit index, PNFI)๋Š” .487๋กœ ๊ถŒ์žฅ์ˆ˜์ค€์„ ๋งŒ์กฑํ•˜์—ฌ ๊ฐ€์„ค์  ๋ชจํ˜•์ด ์ž๋ฃŒ์— ์ž˜ ๋ถ€ํ•ฉ๋˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ฐ€์„ค์  ๋ชจํ˜•์—์„œ ์„ค์ •ํ•œ 19๊ฐœ ๊ฒฝ๋กœ์— ๋Œ€ํ•œ ๊ฐ€์„ค ์ค‘ 12๊ฐœ๊ฐ€ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜๊ฒŒ ์ง€์ง€๋˜์—ˆ๋‹ค. ์ด ๋ชจํ˜•์€ ๊ฐ„์ด์‹ ์ˆ˜ํ˜œ์ž์˜ ์ž๊ธฐ๊ด€๋ฆฌ๋ฅผ 59.4% ์„ค๋ช…ํ•˜์˜€์œผ๋ฉฐ, ๋ชจํ˜•์—์„œ ์ตœ์ข… ๋‚ด์ƒ๋ณ€์ˆ˜์ธ ์ž๊ธฐ๊ด€๋ฆฌ์— ์ง์ ‘์ ์œผ๋กœ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ์€ ๋ณด๊ฑด์˜๋ฃŒ ์ „๋ฌธ๊ฐ€์˜ ์ž์œจ์„ฑ ์ง€์ง€, ์œ ๋Šฅ์„ฑ, ๊ฐ€์กฑ ๊ด€๊ณ„์„ฑ, ์šฐ์šธ์ด์—ˆ๋‹ค. ๋ณด๊ฑด์˜๋ฃŒ์ „๋ฌธ๊ฐ€์˜ ์ž์œจ์„ฑ ์ง€์ง€์™€ ์งˆ๋ณ‘์ธ์‹์€ ์œ ๋Šฅ์„ฑ, ๊ฐ€์กฑ ๊ด€๊ณ„์„ฑ, ์šฐ์šธ์„ ๋งค๊ฐœ๋กœ ์ž๊ธฐ๊ด€๋ฆฌ์— ๊ฐ„์ ‘์ ์œผ๋กœ ์˜ํ–ฅ์„ ๋ฏธ์ณค์œผ๋‚˜, ์ด์‹๊ด€๋ จ ํŠน์„ฑ์€ ์ž๊ธฐ๊ด€๋ฆฌ์— ์œ ์˜ํ•œ ์˜ํ–ฅ์„ ์ฃผ์ง€ ์•Š๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋ณด๊ฑด์˜๋ฃŒ ์ „๋ฌธ๊ฐ€์˜ ์ž์œจ์„ฑ ์ง€์ง€, ์ด์‹๊ด€๋ จ ํŠน์„ฑ, ์งˆ๋ณ‘์ธ์‹์€ ๊ฐ„์ด์‹ ์ˆ˜ํ˜œ์ž์˜ ์ž์œจ์„ฑ, ์œ ๋Šฅ์„ฑ, ๊ฐ€์กฑ ๊ด€๊ณ„์„ฑ, ์šฐ์šธ์„ 27.1%, 17.5%, 21.0%, 21.1% ์„ค๋ช…ํ•˜์˜€๋‹ค. ์ด ์—ฐ๊ตฌ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ๊ฐ„์ด์‹ ์ˆ˜ํ˜œ์ž์˜ ์ž๊ธฐ๊ด€๋ฆฌ๋ฅผ ์ฆ์ง„์‹œํ‚ค๊ธฐ ์œ„ํ•ด์„œ ๊ฐ„์ด์‹ ์ˆ˜ํ˜œ์ž์˜ ์œ ๋Šฅ์„ฑ์„ ์ฆ๋Œ€์‹œํ‚ค๊ณ  ํ˜„์žฌ์˜ ๊ฑด๊ฐ•์ƒํƒœ๋ฅผ ๊ธ์ •์ ์œผ๋กœ ์ธ์‹์„ ํ•  ์ˆ˜ ์žˆ๋„๋ก ์ง€์†์ ์ธ ๊ต์œก์ด ์ด๋ฃจ์–ด์ ธ์•ผ ํ•˜๋ฉฐ, ๊ฐ€์กฑ ๊ด€๊ณ„์„ฑ์˜ ์š•๊ตฌ๋ฅผ ์ถฉ์กฑ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋„๋ก ๊ฐ€์กฑ๊ธฐ๋Šฅ ๊ฐ•ํ™”๋ฅผ ์œ„ํ•œ ๊ฐ€์กฑ ์ƒ๋‹ด์ด๋‚˜ ํ”„๋กœ๊ทธ๋žจ์ด ๊ฐœ๋ฐœ๋˜์–ด์•ผ ํ•  ๊ฒƒ์ด๋‹ค. ๋˜ํ•œ ์ž๊ธฐ๊ด€๋ฆฌ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์šฐ์šธ์„ ์กฐ๊ธฐ๋ฐœ๊ฒฌ ํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•˜๊ณ , ๋ฌธ์ œ ๋ฐœ๊ฒฌ์‹œ ์ ๊ทน์  ์ค‘์žฌ๋ฅผ ํ•ด์•ผ ํ•  ๊ฒƒ์ด๋‹ค. ๋ฌด์—‡๋ณด๋‹ค ์ž๊ธฐ๊ด€๋ฆฌ์— ๊ฐ€์žฅ ํฐ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๋ณด๊ฑด์˜๋ฃŒ ์ „๋ฌธ๊ฐ€๋“ค์€ ๋Œ€์ƒ์ž์™€์˜ ์‹ ๋ขฐ๊ด€๊ณ„ ํ˜•์„ฑ๊ณผ ํ™˜์ž ์ค‘์‹ฌ ์˜๋ฃŒ์„œ๋น„์Šค๋ฅผ ์ œ๊ณตํ•˜๊ธฐ ์œ„ํ•œ ์˜๋ฃŒ์ง„ ๊ต์œก์ด๋‚˜ ์˜์‚ฌ์†Œํ†ต ํ–ฅ์ƒ ํ”„๋กœ๊ทธ๋žจ ์ค‘์žฌ ๋“ฑ์˜ ์ „๋žต์ด ํ•„์š”ํ•  ๊ฒƒ์ด๋‹ค.โ… . ์„œ๋ก  1 1. ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ 1 2. ์—ฐ๊ตฌ์˜ ๋ชฉ์  5 3. ์šฉ์–ด ์ •์˜ 5 โ…ก. ๋ฌธํ—Œ ๊ณ ์ฐฐ 9 1. ๊ฐ„์ด์‹ ์ˆ˜ํ˜œ์ž์˜ ์ž๊ธฐ๊ด€๋ฆฌ 9 2. ์ž๊ธฐ๊ฒฐ์ •์„ฑ์ด๋ก  13 3. ๊ฐ„์ด์‹ ์ˆ˜ํ˜œ์ž์˜ ์ž๊ธฐ๊ด€๋ฆฌ ๊ด€๋ จ์š”์ธ 19 โ…ข. ์—ฐ๊ตฌ์˜ ์ด๋ก ์  ๊ธฐํ‹€ ๋ฐ ๊ฐ€์„ค 26 1. ์—ฐ๊ตฌ์˜ ์ด๋ก ์  ๊ธฐํ‹€ 26 2. ๊ฐ€์„ค์  ๋ชจํ˜• 29 3. ์—ฐ๊ตฌ๊ฐ€์„ค 31 โ…ฃ. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• 33 1. ์—ฐ๊ตฌ ์„ค๊ณ„ 33 2. ์—ฐ๊ตฌ ๋Œ€์ƒ 33 3. ์—ฐ๊ตฌ ๋„๊ตฌ 34 4. ์—ฐ๊ตฌ์˜ ์œค๋ฆฌ์  ๊ณ ๋ ค 42 5. ์ž๋ฃŒ ์ˆ˜์ง‘ ๋ฐฉ๋ฒ• ๋ฐ ์ ˆ์ฐจ 42 6. ์ž๋ฃŒ ๋ถ„์„ ๋ฐฉ๋ฒ• 44 โ…ค. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ 46 1. ๋Œ€์ƒ์ž์˜ ํŠน์„ฑ 46 2. ์ธก์ •๋ณ€์ˆ˜์˜ ์„œ์ˆ ์  ํ†ต๊ณ„ 51 3. ์ธก์ •๋ณ€์ˆ˜ ๊ฐ„์˜ ์ƒ๊ด€๊ด€๊ณ„ 53 4. ๊ตฌ์กฐ๋ชจํ˜• ๋ถ„์„ 56 5. ์—ฐ๊ตฌ๊ฐ€์„ค์˜ ๊ฒ€์ฆ 63 โ…ฅ. ๋…ผ์˜ 68 1. ๊ตฌ์กฐ๋ชจํ˜•์˜ ํƒ€๋‹น์„ฑ 68 2. ๊ฐ„์ด์‹ ์ˆ˜ํ˜œ์ž์˜ ์ž๊ธฐ๊ด€๋ฆฌ ์˜ํ–ฅ์š”์ธ 69 3. ์—ฐ๊ตฌ์˜ ์˜์˜ 79 โ…ฆ. ๊ฒฐ๋ก  ๋ฐ ์ œ์–ธ 81 1. ๊ฒฐ๋ก  81 2. ์ œ์–ธ 82 ์ฐธ๊ณ ๋ฌธํ—Œ 84 ๋ถ€๋ก 105 Abstract 127Docto

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    Psychosocial Adjustment of Pancreas Transplant Recipients in Korea

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    Purpose: The purpose of this study was to develop a theory describing the experiences of psychosocial adjustment (process) among the recipients of pancreas transplantation in Korea. Methods: Data were collected by individual in-depth interviews with nine recipients of pancreas transplantation during 2010-2011. The data were transcribed and analyzed using grounded theory method to identify psychosocial adjustment process. Results: As a result of constant comparative analysis, "Pursuing ordinary life to free fromrestraints of diabetes" emerged as the core category. Five stages emerged: 1) Temporal liberation and satisfaction; 2) Disappointing with regrets and anger; 3) Facing up to the reality to be thankful; 4) Executing self-initiated management; and 5) Peaceful acceptance of reality as it is. "Excessive expectation" and "social support" are other categories that influenced the process. Conclusion: The results of this study indicate that health professionals need to provide tailored and balanced information to recipients of pancreas transplantation both before and after the transplantation to relieve psychosocial distress after the transplantation.- ๋ณธ ์—ฐ๊ตฌ๋Š” ๋Œ€ํ•œ์งˆ์ ์—ฐ๊ตฌํ•™ํšŒ ์—ฐ๊ตฌ๋น„์˜ ์ง€์›์œผ๋กœ ์ˆ˜ํ–‰๋˜์—ˆ์Œ - This research was supported by the Korean Association for Qualitative Research in NursingOAIID:RECH_ACHV_DSTSH_NO:T201619963RECH_ACHV_FG:RR00200001ADJUST_YN:EMP_ID:A003229CITE_RATE:0DEPT_NM:๊ฐ„ํ˜ธํ•™๊ณผEMAIL:[email protected]_YN:NCONFIRM:
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