78 research outputs found

    ์ƒˆ์ฒœ๋…„๊ฐœ๋ฐœ๋ชฉํ‘œ(MDGs) ์ˆ˜๋ฆฝ์— ๋”ฐ๋ฅธ KOICA ๋ณด๊ฑด ๋ถ„์•ผ ์ „๋žต ๋ฐ ์‚ฌ์—…๋ณ€ํ™” ์—ฐ๊ตฌ

    Get PDF
    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๋ณด๊ฑดํ•™๊ณผ, 2017. 2. ๊น€์ฐฝ์—ฝ.2000๋…„ UN ์ œ 55์ฐจ ์ •๊ธฐ ์ดํšŒ์—์„œ ์ „ ์„ธ๊ณ„ 189๊ฐœ๊ตญ ์ •์ƒ๋“ค์€ ํ–ฅํ›„ 15๋…„๊ฐ„ ์ƒˆ์ฒœ๋…„๊ฐœ๋ฐœ๋ชฉํ‘œ(Millenium Development Goals, MDGs) ๋‹ฌ์„ฑ์„ ๋ชฉํ‘œ๋กœ ํ•จ๊ป˜ ๋…ธ๋ ฅํ•  ๊ฒƒ์„ ํ•ฉ์˜ํ•˜์˜€๋‹ค. ์ด๋Š” ๋นˆ๊ณคํ‡ด์น˜๊ฐ€ ์ „ ์„ธ๊ณ„ ๊ฐœ๋ฐœํ˜‘๋ ฅ์˜ ์ฃผ์š”ํ•œ ๋ชฉ์ ์ด ๋˜์–ด์•ผ ํ•œ๋‹ค๋Š” ๊ฐ•๋ ฅํ•œ ์ •์น˜์  ํ•ฉ์˜๋กœ ํ‰๊ฐ€๋œ๋‹ค. ํ•˜์ง€๋งŒ ์„ ์–ธ์—์„œ ๊ทธ์น˜์ง€ ์•Š๊ณ  ๋ชฉํ‘œ๋ฅผ ๋‹ฌ์„ฑํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ์—ฌ๋Ÿฌ ๊ฐ€์ง€ ๋‹ค์–‘ํ•œ ์ธก๋ฉด์˜ ๋…ธ๋ ฅ๋“ค์ด ํ•„์š”ํ•˜๋‹ค. ์ˆ˜์›๊ตญ ์ฐจ์›์˜ ๋…ธ๋ ฅ ์ด์™ธ์—๋„ ๊ณต์—ฌ๊ธฐ๊ด€ ์—ญ์‹œ ์›์กฐ์ „๋žต์— MDGs ๋‹ฌ์„ฑ์„ ๋†’์€ ์šฐ์„ ์ˆœ์œ„์— ๋‘๊ณ , ์—ฌ๋Ÿฌ ๊ฐ€์ง€ ์ดํ–‰์ˆ˜๋‹จ๊ณผ ์—ฐ๊ณ„ํ•˜์—ฌ ์ž์›์„ ํšจ์œจ์ ์œผ๋กœ ๋ฐฐ๋ถ„ํ•˜๊ธฐ ์œ„ํ•œ ๋…ธ๋ ฅ์ด ํ•„์š”ํ•˜๋‹ค. ํŠนํžˆ MDGs์— ๋ณด๊ฑด ๋ถ„์•ผ ๋ชฉํ‘œ๊ฐ€ ์ƒ๋‹น๋ถ€๋ถ„(8๊ฐœ ๋ชฉํ‘œ ์ค‘ 3๊ฐœ ๋ชฉํ‘œ) ํฌํ•จ๋˜์–ด ์žˆ์œผ๋ฉฐ, ๋”ฐ๋ผ์„œ MDGs ์ดํ›„, ๊ณต์—ฌ๊ตญ ํ•œ๊ตญ์˜ ๋ณด๊ฑด์›์กฐ ์ „๋žต๊ณผ ์ดํ–‰์—๋Š” ์–ด๋– ํ•œ ๋ณ€ํ™”๊ฐ€ ์žˆ์—ˆ๋Š”์ง€, ๋™ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ์‚ดํŽด๋ณด๊ณ ์ž ํ•˜์˜€๋‹ค. ์ด๋ฅผ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•ด, ๊ตญ๋‚ด ๋Œ€ํ‘œ์ ์ธ ์›์กฐ๊ธฐ๊ด€์ธ ํ•œ๊ตญ๊ตญ์ œํ˜‘๋ ฅ๋‹จ(KOICA)์˜ ๋ณด๊ฑด ๋ถ„์•ผ ์ „๋žต๊ณผ ์‚ฌ์—… ๊ทœ๋ชจ์˜ ์–‘์  ์งˆ์  ๋ณ€ํ™”๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค. ๋จผ์ € ๋ณด๊ฑด์‚ฌ์—… ๊ด€๋ จ ์ „๋žต ๋ฐ ๊ฐ€์ด๋“œ๋ผ์ธ์„ ์‚ดํŽด๋ณธ ๊ฒฐ๊ณผ, ์ˆ˜์›๊ตญ ๊ฐœ๋ฐœํ™˜๊ฒฝ ๋ถ„์„ ๋“ฑ์˜ ๊ณผ์ •์—์„œ, MDGs๊ฐ€ ๋น„๊ต์  ์ƒ์œ„ ์šฐ์„ ์ˆœ์œ„๋กœ ๊ณ ๋ ค๋˜์—ˆ์Œ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋˜ํ•œ ์‚ฌ์—… ํ˜•์„ฑ ๋ฐ ์ดํ–‰, ํ‰๊ฐ€์™€ ๊ด€๋ จ๋œ ๊ฐ€์ด๋“œ๋ผ์ธ ์ˆ˜์ค€์˜ ์ „๋žต์—๋„ MDGs๊ฐ€ ๋ช…์‹œ๋˜๊ณ  ๊ณ ๋ ค๋˜๊ณ  ์žˆ์—ˆ๋‹ค. ๋ฐ˜๋ฉด, MDGs ๋‹ฌ์„ฑ ๋…ธ๋ ฅ์ด ์‹ค์ œ๋กœ ๊ตฌํ˜„๋˜์–ด ๊ฐ€์‹œ์ ์ธ ์„ฑ๊ณผ๋ฅผ ๋ณด์ด๋Š” ๋ฐ์—๋Š” ํ•œ๊ณ„๊ฐ€ ์žˆ์—ˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, ์‚ฌ์—… ์‹ฌ์‚ฌ ๋“ฑ ์ค‘์š”ํ•œ ์˜์‚ฌ๊ฒฐ์ • ๊ณผ์ •์—์„œ๋Š” MDGs์— ๊ด€ํ•œ ๊ธฐ์ค€์ด ์—†์–ด, ์‹ค์ œ ์ดํ–‰๊ณผ ์—ฐ๊ฒฐ๋˜๋Š” ์‹œ์ ์—์„œ๋Š” MDGs๊ฐ€ ๋†’์€ ์šฐ์„ ์ˆœ์œ„๋กœ ๊ณ ๋ ค๋˜์ง€ ๋ชปํ•˜์˜€๋‹ค. ๋ณด๊ฑด์‚ฌ์—…์˜ ์–‘์  ๊ทœ๋ชจ ๋ณ€ํ™”๋Š” MDGs ์ดํ›„, ์ด ์›์กฐ์•ก๊ณผ ๋ณด๊ฑด ๋ถ„์•ผ ์›์กฐ์•ก ๋ชจ๋‘ ํฌ๊ฒŒ ์ƒ์Šนํ–ˆ์Œ์„ ํ™•์ธ ํ•  ์ˆ˜ ์žˆ์—ˆ์ง€๋งŒ, ์ด ์›์กฐ ์ค‘ ๋ณด๊ฑด์‚ฌ์—…์ด ์ฐจ์ง€ํ•˜๋Š” ๋น„์œจ์ด ์ง€์†์ ์œผ๋กœ ์ฆ๊ฐ€ํ•˜์˜€๋‹ค๊ณ  ๋ณด๊ธฐ๋Š” ํž˜๋“ค์—ˆ๋‹ค. ํŠน์ • ๋…„๋„์— ๋ณด๊ฑด ๋ถ„์•ผ ์‚ฌ์—… ๋น„์œจ์ด ๋†’์•˜์œผ๋ฉฐ, ์ด๋Š” ์ธํ”„๋ผ ์š”์†Œ๊ฐ€ ๋งŽ์ด ํฌํ•จ๋œ ๋Œ€ํ˜• ์‚ฌ์—… ๋“ฑ์ด ์ถ”์ง„์— ๊ธฐ์ธํ•œ๋‹ค. ๋ณด๊ฑด ๋ถ„์•ผ์˜ ์งˆ์  ๋ณ€ํ™”๋Š” MDGs ์„ ์–ธ ์ดํ›„, 2005-2016๋…„ ๊ธฐ๊ฐ„ ๋™์•ˆ ์‹œํ–‰๋œ 150๊ฐœ์˜ ๋ณด๊ฑด์‚ฌ์—…์„ ๋Œ€์ƒ์œผ๋กœ ์‚ดํŽด๋ณด์•˜์œผ๋ฉฐ, MDGs๊ฐ€ ๋‹ค๋ฃจ๊ณ  ์žˆ๋Š” ์•„๋™์‚ฌ๋ง๋ฅ  ๊ฐ์†Œ ๋ฐ ๋ชจ์„ฑ์‚ฌ๋ง๋ฅ  ๊ฐ์†Œ ๋“ฑ์˜ ๋ชฉํ‘œ๋ฅผ ์ œ์‹œํ•œ ๋ณด๊ฑด์‚ฌ์—…์ด ํฌ๊ฒŒ ์ฆ๊ฐ€ํ•˜์˜€์œผ๋ฉฐ, MDGs ์ด์ „์—๋Š” ๋‹ค๋ฃจ์ง€ ์•Š์•˜๋˜ MDGs 6๋ฒˆ๊ณผ ๊ด€๊ณ„๋œ HIV/AIDS ๋ฐ ๊ฒฐํ•ต๊ณผ ๊ด€๋ จ๋œ ์‚ฌ์—…๋„ ์ ์€ ์ˆ˜์ด๊ธด ํ•˜์ง€๋งŒ ์‹œํ–‰๋˜์—ˆ๋‹ค. ๋˜ํ•œ MDGs ์ด์ „์˜ ๋ถ€๋ฌธ๋ณ„ ๋ฌธ์ œํ•ด๊ฒฐ ์ค‘์‹ฌ ์ ‘๊ทผ์—์„œ ๋ฒ—์–ด๋‚˜, ํ†ตํ•ฉ์  ์ ‘๊ทผ์œผ๋กœ ์‚ฌ์—…์ด ๋ณ€ํ™”ํ•˜์˜€์Œ์„ ํ™•์ธ ํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ˆ˜์›๊ตญ์˜ ๋‹จ๊ธฐ ์š”์ฒญ์— ๋Œ€์‘ํ•˜๋Š” ์ˆ˜์ค€์ด ์•„๋‹Œ ์ข€ ๋” ์ˆ˜์›๊ตญ์˜ ํฌ๊ด„์ ์ธ ์ˆ˜์š”๋ฅผ ์ฐพ๊ณ ์ž ํ•˜์˜€๊ณ , ์˜๋ฃŒ์ฒด๊ณ„ ๊ฐ•ํ™” ์‚ฌ์—… ๋“ฑ ํฌ๊ด„์  ์ง€์—ญ์˜ ๋ณด๊ฑด์˜๋ฃŒ ํ™˜๊ฒฝ๊ณผ ๋ณด๊ฑด ์˜๋ฃŒ ์ˆ˜์ค€ ๋“ฑ์„ ๋‹ค๊ฐ์ ์œผ๋กœ ๊ณ ๋ คํ•˜๊ณ , ์ง€์—ญ์˜ ๋ณด๊ฑด๋ฌธ์ œ ํ•ด์†Œ๋ฅผ ์œ„ํ•œ ์‚ฌ์—…์˜ ๊ฐœ์ˆ˜๊ฐ€ ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. ๋˜ํ•œ ์‚ฌ์—…์˜ ๋ฐฉ์‹ ๋‹ค๊ฐํ™”๋„ ์ฃผ์š”ํ•œ ๋ณ€ํ™”์ด๋‹ค. MDGs ์ด์ „์˜ ๋…์ž์ ์ธ ์‚ฌ์—…์ถ”์ง„์—์„œ ๋ฒ—์–ด๋‚˜ ๋‹ค์–‘ํ•œ ๊ฐœ๋ฐœํ˜‘๋ ฅ ํŒŒํŠธ๋„ˆ๋“ค๊ณผ์˜ ํ˜‘๋ ฅ์ด ๊ฐ•ํ™”๋˜์—ˆ๋‹ค. ์ด๋Š” MDGs์˜ ์˜ํ–ฅ๋„ ์žˆ์ง€๋งŒ, KOICA์˜ ์˜ˆ์‚ฐ์ด ๋Š˜์–ด ํ˜‘๋ ฅํ•  ์—ฌ์ง€๊ฐ€ ๋งŽ์•„์ง„ ์ธก๋ฉด๋„ ์žˆ๋‹ค. MDGs ์ข…๋ฃŒ ์ดํ›„, 2030๋…„๊นŒ์ง€ ์ „ ์„ธ๊ณ„๊ฐ€ ๋‹ฌ์„ฑํ•ด์•ผํ•  ์ง€์†๊ฐ€๋Šฅ๊ฐœ๋ฐœ๋ชฉํ‘œ(SDGs)๊ฐ€ ์ˆ˜๋ฆฝ๋˜์—ˆ๊ณ , ์—ฌ๋Ÿฌ ์ดํ–‰์ˆ˜๋‹จ ๋ฐ ์ „๋žต์— ๋Œ€ํ•ด ๋…ผ์˜๊ฐ€ ์ง„ํ–‰๋˜๊ณ  ์žˆ๋‹ค. KOICA๋ฅผ ๋น„๋กฏํ•œ ํ•œ๊ตญ์˜ ํƒ€ ์›์กฐ๊ธฐ๊ด€๋“ค๋„ ๊ธฐ๊ด€์˜ ๋น„์ „ ํ˜น์€ ์—ญํ• ๋กœ SDGs ์ดํ–‰ยท์ง€์›์„ ์ฃผ์š”ํ•œ ๋‚ด์šฉ์œผ๋กœ ์„ ์ •ํ•  ๊ฒƒ์œผ๋กœ ์˜ˆ์ƒ๋œ๋‹ค. ๋”ฐ๋ผ์„œ SDGs ์ดํ–‰์ด ๊ตญ์ œ์  ํ•ฉ์˜๊ฐ€ ์„ ์–ธ์—์„œ ๊ทธ์น˜์ง€ ์•Š๊ณ  ํ˜„์‹ค์—์„œ ๊ตฌํ˜„๋˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ์ „๋žต์— ์ดํ–‰์„ ์œ„ํ•œ ์‚ฌํ•ญ์ด ๋ฐ˜์˜๋˜์–ด์•ผ ํ•จ์„ ๋ฌผ๋ก , ์‹ค์ œ ๊ณต์—ฌ๊ธฐ๊ด€ ๋ฐ ์ง์›๋“ค์˜ ํ–‰๋™์„ ๋ณ€ํ™”์‹œํ‚ฌ ์ˆ˜ ์žˆ๋Š” ์ œ๋„ ์†์—์„œ ์ „๋žต์ด ๊ตฌํ˜„๋˜์–ด์•ผ ํ•œ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด SDGs ์ดํ–‰์„ ๋ณด๋‹ค ๋†’์€ ์šฐ์„ ์ˆœ์œ„์— ๋‘๊ณ  ์‚ฌ์—…์„ ํ˜•์„ฑ, ์ดํ–‰, ํ‰๊ฐ€ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ์‹ฌ์‚ฌ์ œ๋„ ์—ญ์‹œ ์ œ๋„์  ๊ฐœ์„ ์ด ํ•„์š”ํ•˜๋‹ค. ์‹ฌ์‚ฌํ•ญ๋ชฉ๊ณผ ๊ธฐ์ค€์— SDGs ๊ธฐ์—ฌ๋„ ๋“ฑ์˜ ๋‚ด์šฉ์„ ๊ตฌ์ฒด์ ์œผ๋กœ ์ œ์‹œํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  SDGs ์ดํ–‰ ์„ฑ๊ณผ์ฒด๊ณ„๋ฅผ ์ดˆ๊ธฐ์— ๊ตฌ์ถ•ํ•˜์—ฌ, ์‚ฌ์—… ํ‰๊ฐ€ ์‹œ, ์ ๊ฒ€ํ•˜๋„๋ก ํ•ด์•ผ ํ•œ๋‹ค.โ… . ์„œ๋ก  1 1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ 1 2. ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ 4 3. ์—ฐ๊ตฌ๋ชฉ์ ๊ณผ ์—ฐ๊ตฌ์งˆ๋ฌธ 5 โ…ก. ์ด๋ก ์  ๋ฐฐ๊ฒฝ 5 1. ๋ณด๊ฑด ๋ถ„์•ผ ๊ณต์ ๊ฐœ๋ฐœ์›์กฐ(ODA) 5 2. ์ƒˆ์ฒœ๋…„๊ฐœ๋ฐœ๋ชฉํ‘œ(Millennium Development Goals, MDGs) 7 3. ๋ณด๊ฑด ๋ถ„์•ผ ํ•œ๊ตญ ๋ฌด์ƒ์›์กฐ ์‚ฌ์—… ์ถ”์ง„ ์ ˆ์ฐจ ๊ณ ์ฐฐ 12 โ…ข. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• 15 1. ์—ฐ๊ตฌ ์„ค๊ณ„ 15 2. ์—ฐ๊ตฌ ๋ชจํ˜• 16 3. ์ž๋ฃŒ ์ˆ˜์ง‘ 18 4. ํƒ€๋‹น๋„์™€ ์‹ ๋ขฐ๋„ ํ™•๋ณด 20 โ…ฃ. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ 20 1. ์›์กฐ ์ „๋žต ๋ณ€ํ™” 20 2. ์‚ฌ์—… ์ง‘ํ–‰ ๊ฐ€์ด๋“œ๋ผ์ธ ๋ณ€ํ™” 36 3. ๋ณด๊ฑด์‚ฌ์—… ๋ณ€ํ™” 42 โ…ค. ๊ฒฐ๋ก  53 1. ์š”์•ฝ ๋ฐ ์ œ์–ธ 53 2. ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ 57 ์ฐธ๊ณ ๋ฌธํ—Œ 59 ๋ถ€๋ก 63 Abstract 76Maste

    Association of smoking with incident CKD risk in the general population: A community-based cohort study

    Get PDF
    Background: Chronic kidney disease (CKD) is a public health problem, and an unfavorable lifestyle has been suggested as a modifiable risk factor for CKD. Cigarette smoking is closely associated with cardiovascular disease and cancers; however, there is a lack of evidence to prove that smoking is harmful for kidney health. Therefore, we aimed to determine the relationship between cigarette smoking and CKD among healthy middle-aged adults. Methods: Using the database from the Korean Genome and Epidemiology Study, we analyzed 8,661 participants after excluding those with baseline estimated glomerular filtration rate (eGFR)<60 ml/min/1.72 m2 or proteinuria. Exposure of interest was smoking status: never-, former-, and current-smokers. Primary outcome was incident CKD defined as eGFR <60 ml/min/1.73 m2 or newly developed proteinuria. Results: The mean age of the subjects was 52 years, and 47.6% of them were males. There were 551 (6.4%) and 1,255 (14.5%) subjects with diabetes and hypertension, respectively. The mean eGFR was 93.0 ml/min/1.73 m2. Among the participants, 5,140 (59.3%), 1,336 (15.4%), and 2,185 (25.2%) were never-smokers, former-smokers, and current-smokers, respectively. During a median follow-up of 11.6 years, incident CKD developed in 1,941 (22.4%) subjects with a crude incidence rate of 25.1 (24.0-26.2) per 1,000 person-years. The multivariable Cox regression analysis after adjustment of confounding factors showed hazard ratios (95% confidence interval) of 1.13 (0.95-1.35) and 1.26 (1.07-1.48) for CKD development in the former- and current-smokers, compared with never-smokers. Conclusion: This study showed that smoking was associated with a higher risk of incident CKD among healthy middle-aged adults.ope

    Carbohydrate-Rich Diet Is Associated with Increased Risk of Incident Chronic Kidney Disease in Non-Diabetic Subjects

    Get PDF
    Despite the potential relationship with metabolic derangements, the association between dietary carbohydrate intake and renal function remains unknown. The present study investigated the impact of dietary carbohydrate intake on the development ofย incidentย chronicย kidneydiseaseย (CKD) in a large-scale prospective cohort with normal renal function. A total of 6746 and 1058ย subjectsย without and with diabetes mellitus (DM) were analyzed, respectively. Carbohydrate intake was assessed by a 24-h dietary recall food frequency questionnaire. The primary endpoint was CKD development, defined as a composite of estimated glomerular filtration rate (eGFR) of โ‰ค60 mL/min/1.73 m2ย and the development of proteinuria. CKD newly developed in 20.1% and 36.0% ofย subjectsย during median follow-ups of 140 and 119 months in the non-DM and DMย subjects, respectively. Categorization of non-DMย subjectsย into dietary carbohydrate density quartiles revealed a significantly higherย riskย of CKD development in the third and fourth quartiles than in the first quartile (Pย = 0.037 for first vs. third;ย Pย = 0.001 for first vs. fourth). A significantย riskย elevation was also found withย increasedย carbohydrate density when carbohydrate density was treated as a continuous variable (Pย = 0.008). However, there was no significant difference in theย incidentย CKDย riskย among those with DM according to dietary carbohydrate density quartiles.ย Carbohydrate-richย diets may increase theย riskย of CKD development in non-DMย subjects.ope

    Association Between Serum High-Density Lipoprotein Cholesterol Levels and Progression of Chronic Kidney Disease: Results From the KNOW-CKD

    Get PDF
    Background High-density lipoprotein cholesterol ( HDL -C) levels are generally decreased in patients with chronic kidney disease ( CKD ). However, studies on the relationship between HDL -C and CKD progression are scarce. Methods and Results We studied the association between serum HDL -C levels and the risk of CKD progression in 2168 participants of the KNOW - CKD (Korean Cohort Study for Outcome in Patients With Chronic Kidney Disease). The primary outcome was the composite of a 50% decline in estimated glomerular filtration rate from baseline or end-stage renal disease. The secondary outcome was the onset of end-stage renal disease. During a median follow-up of 3.1 (interquartile range, 1.6-4.5) years, the primary outcome occurred in 335 patients (15.5%). In a fully adjusted Cox model, the lowest category with HDL -C of <30 mg/dL (hazard ratio, 2.21; 95% CI, 1.30-3.77) and the highest category with HDL -C of โ‰ฅ60 mg/dL (hazard ratio, 2.05; 95% CI , 1.35-3.10) were associated with a significantly higher risk of the composite renal outcome, compared with the reference category with HDL -C of 50 to 59 mg/dL. This association remained unaltered in a time-varying Cox analysis. In addition, a fully adjusted cubic spline model with HDL -C being treated as a continuous variable yielded similar results. Furthermore, consistent findings were obtained in a secondary outcome analysis for the development of end-stage renal disease. Conclusions A U-shaped association was observed between serum HDL -C levels and adverse renal outcomes in this large cohort of patients with CKD . Our findings suggest that both low and high serum HDL -C levels may be detrimental to patients with nondialysis CKD .ope

    Dietary zinc intake and incident chronic kidney disease

    Get PDF
    Background & aims: Previous studies have shown that dietary zinc intake is closely related to cardiovascular complications and metabolic derangements. However, the effect of dietary zinc intake on renal function is not fully elucidated. Methods: Data from the Korean Genome and Epidemiology Study were used. Dietary zinc intake was assessed by a Food Frequency Questionnaire and dietary zinc density was calculated as absolute zinc intake amount per daily energy intake (mg/1000 kcal day). The participants were categorized into quartiles according to dietary zinc density. The primary end point was incident chronic kidney disease (CKD), defined as estimated glomerular filtration rate (eGFR) < 60 ml/min/1.73 m2. Results: A total of 7735 participants with normal renal function was included in the final analysis. The mean age was 52.0 ยฑ 8.8 years, 47.5% were male, and mean eGFR was 92.1 ยฑ 16.1 ml/min/1.73 m2. The mean daily zinc intake and zinc intake density were 8.6 ยฑ 3.4 mg and 4.4 ยฑ 0.9 mg/1000 kcal, respectively. During a median follow up of 11.5 (1.7-12.5) years and 70,617 person-years of observation, CKD developed in 1409 (18.2%) participants. Multivariable cox hazard analysis revealed that risk for CKD development was significantly higher in the quartile with a mean zinc intake density of 3.6 ยฑ 0.2 mg/1000 kcal compared with the quartile with a mean zinc intake density of 5.6 ยฑ 1.0 mg/1000 kcal (Hazard ratio; 1.36; 95% Confidence Interval 1.18-1.58; P < 0.001). This relationship remained significant even after adjustments for confounding factors. Conclusion: Low dietary zinc intake may increase the risk of CKD development in individuals with normal renal function.ope

    Framingham risk score and risk of incident chronic kidney disease: A community-based prospective cohort study

    Get PDF
    Background: Cardiovascular disease and chronic kidney disease share several common risk factors. The Framingham risk score is hypothesized to predict chronic kidney disease development. We determined if the Framingham risk scoring system can correctly predict incident chronic kidney disease in the general population. Methods: This study included 9,080 subjects who participated in the Korean Genome and Epidemiology Study between 2001 and 2014 and had normal renal function. The subjects were classified into low- ( 20%) risk groups based on baseline Framingham risk scores. The primary endpoint was de novo chronic kidney disease development (estimated glomerular filtration rate [eGFR], < 60 mL/min/1.73 m2). Results: During a mean follow-up duration of 8.9 ยฑ 4.3 years, 312 (5.3%), 217 (10.8%), and 205 (16.9%) subjects developed chronic kidney disease in the low, intermediate, and high risk groups, respectively (P < 0.001). Multivariable analysis after adjustment for confounding factors showed the hazard ratios for the high- and intermediate risk groups were 2.674 (95% confidence interval [CI], 2.197-3.255) and 1.734 (95% CI, 1.447-2.078), respectively. This association was consistently observed irrespective of proteinuria, age, sex, obesity, or hypertension. The predictive power of this scoring system was lower than that of renal parameters, such as eGFR and proteinuria, but increased when both were included in the prediction model. Conclusion: The Framingham risk score predicted incident chronic kidney disease and enhanced risk stratification in conjunction with traditional renal parameters in the general population with normal renal function.ope

    Snoring and incident chronic kidney disease: a community-based prospective cohort study

    Get PDF
    OBJECTIVES: Previous studies have shown that symptoms of sleep-disordered breathing are associated with metabolic derangements and vascular disease development. However, the relationship between snoring and renal function is not well investigated. The association between snoring and the development of incident chronic kidney disease (CKD) in subjects with normal renal function was evaluated. DESIGN: Prospective cohort study. SETTING: Ansung (rural community) and Ansan (urban community) cities. PARTICIPANTS: Community-based cohort participants aged 40-69 years. METHODS: A total of 9062 participants in the Ansung-Ansan cohort study were prospectively followed up from 2001 to 2014. The participants were classified into three groups: non-snorer, <1โ€‰day/week and โ‰ฅ1โ€‰day/week. The main outcome was incident CKD, which was defined as an estimated glomerular filtration rate of <60โ€‰mL/min/1.73โ€‰m2 during the follow-up period. PRIMARY OUTCOME: Incident CKD. RESULTS: The mean subject age was 52.0ยฑ8.9 years, and 4372 (48.2%) subjects were male. The non-snorer,<1โ€‰day/week and โ‰ฅ1โ€‰day/week groups included 3493 (38.5%), 3749 (41.4%), and 1820 (20.1%) subjects, respectively. Metabolic syndrome was more prevalent in the snoring groups than in the non-snoring group. Snoring frequency showed a significant positive relationship with age, waist:hip ratio, fasting glucose, total cholesterol (Tchol) and low-density lipoprotein cholesterol. During a mean follow-up of 8.9 years, 764 (8.4%) subjects developed CKD. Cox proportional hazards model analysis revealed that the risk of CKD development was significantly higher in subjects who snored โ‰ฅ1โ€‰day/week than in non-snorers, even after adjustments for confounding factors (HR 1.23, 95% CI 1.09 to 1.38, p<0.01). CONCLUSION: Snoring may increase the risk of CKD development in subjects with normal renal function.ope

    Study on the factor affecting social accountability and the indicators of medical schools

    No full text
    This study aims to increase medical schoolsโ€™ autonomous capabilities to foster social accountability by identifying the factors affecting the implementation of social accountability by medical schools and by developing social accountability indicators for accreditation of medical schools. In addition, the study intends to broaden the concept of medical school accreditation to include social accountability and to change the accreditation paradigm to become rooted in social accountability. Specifically, this study intends to carry out the following research. First,we identify the factors influencing medical schoolsโ€™ social accountability. Second, we categorize and characterize the types of social accountability implemented by medical schools. Third, we analyze the perception of the importance of factors affecting social accountability implementation and the current situation in medical schools. Fourth, we develop the indicators for measuring the implementation of social accountability by medical schools. To identify the factors that influence the implementation of social accountability by medical schools, a total of 55 responses, comprised of 40 responses from current deans of medical schools and 15 from medical education experts in the Republic of Korea, were included in the final analysis. In addition, the opinions of 40 medical schools in Korea were collected to categorize the types of social responsibility fulfillment and to analyze the recognition of its importance and the current situation in medical schools. We developed the survey used in this study. It was titled โ€œOpinion Survey on the Importance and Status of Factors Influencing the Implementation of Social Accountability by Medical Schools.โ€ The data was analyzed by means of descriptive statistics and calculating the differences between groups, the exploratory factor analysis, multiple regression analysis, cluster analysis, and importance and performance analysis (IPA). To develop the measurement indicators of medical schoolsโ€™ social accountability, the opinions of the focus group comprised of four experts and the opinions of 15 medical education experts were collected. The following survey items were used: experts' opinions on the selection of [ASK2019] standards regarding medical schoolsโ€™ social accountability, experts' opinions on the selection of [ASK2019] standards based on the social accountability grid, and experts' opinions on the suitability and ease of measurement of indicators based on [ASK2019] of medical schoolsโ€™ social accountability. The results of our research are as follows. First, based on the HSP model, eight factors in three areas influenced the implementation of social accountability by medical schools. The hardware (H) area included the announcement of social accountability and personnel discharge, implementation system and organization, and the physical and financial factors. The software (S) area included the social accountability curriculum composition, monitoring, and evaluation factors. Finally, the partner (P) area included the proximity between partners, partnership building, and interaction with partners factors. Among them, interaction with partners was the biggest factor in the implementation of social accountability by medical schools. In addition, the difference between the deansโ€™ group and the expertsโ€™ group demonstrated that the deansโ€™ group scored high across all factors. Among the factors, the deansโ€™ group recognized the social accountability announcement, personnel discharge, social accountability curriculum organization, and performance organization and system factors as important. Second, the analysis of the implementation of social accountability by medical schools classified them into three groups depending on their position on the implementation of social accountability spectrum: leading, growing, and medical schools with potential to grow. Five out of 40 medical schools were selected as leading based on the eight factors implemented in balance. As a result of analyzing the importance and current level of medical schoolsโ€™ social accountability by type, location, and the year of establishment in the Republic of Korea, the level of state schools was higher than that of the private schools, and there was no statistically significant difference based on the location and year of establishment. Third, as a result of selecting the [ASK2019] standards related to medical schoolsโ€™ social accountability, a total of 92 criteria were selected. These included 61 criteria that were selected through focus group discussions for the social grid model, and 41 criteria that were selected based on the opinions of the expert group. As a result of classification in the social accountability grid model, Korean Institute of Medical Education and Evaluation (KIMEE) standards were similar to foreign evaluation and accreditation standards(WFME, LCME, AMC)and focused on educational relevance, but the [ASK2019] indicated that in the area of education and quality, education was more important. In addition, the area of research and service and the standards of cost effectiveness and equity needed to be investigated further. Fourth, a total of 252 quantitative and qualitative indicators were developed for 41 of the basic [ASK2019] criteria that reflected medical schoolsโ€™ social accountability. Among them, the evaluation matrix for the [ASK2019] basic criteria was developed to reflect medical schoolsโ€™ social accountability for the indicators of 3.5 points or higher by collecting additional opinions on the suitability and ease of measurement. The discussion in this study suggested the development of a joint consortium between medical schools, communities, countries, and regions, because building partnerships and interactions is important to strengthen the implementation of social accountability by medical schools. Also, the study proposed to actively consider and reflect the criteria and indicators of medical schoolsโ€™ social accountability in the current evaluation and accreditation system. Finally, the degrees of social accountability implementation by medical schools may vary depending on the context, situation, and specialization of medical schools. Therefore, efforts are needed to establish social accountability implementation mechanisms for individual medical schools. ์ด ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ์˜๊ณผ๋Œ€ํ•™์ด ์ž์œจ์ ์œผ๋กœ ์‚ฌํšŒ์  ์ฑ…๋ฌด์„ฑ ์—ญ๋Ÿ‰์„ ์ด‰์ง„์‹œํ‚ค๋Š”๋ฐ ์žˆ๋‹ค. ์•„์šธ๋Ÿฌ, ์˜๊ณผ๋Œ€ํ•™์˜ ์‚ฌํšŒ์  ์ฑ…๋ฌด์„ฑ์„ ์˜๊ณผ๋Œ€ํ•™ ํ‰๊ฐ€์ธ์ฆ๊นŒ์ง€ ๊ฐœ๋…์„ ํ™•์žฅ์‹œ์ผœ ์‚ฌํšŒ์  ์ฑ…๋ฌด์„ฑ์— ์ž…๊ฐํ•œ ํ‰๊ฐ€์ธ์ฆ ํŒจ๋Ÿฌ๋‹ค์ž„์„ ์ „ํ™˜ํ•˜๋Š”๋ฐ ๊ธฐ์—ฌํ•˜๊ณ ์ž ํ•œ๋‹ค. ์ด ์—ฐ๊ตฌ์—์„œ ์ˆ˜ํ–‰ํ•˜๊ณ ์ž ํ•˜๋Š” ๊ตฌ์ฒด์ ์ธ ์—ฐ๊ตฌ ๋‚ด์šฉ์€ ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ์˜๊ณผ๋Œ€ํ•™์˜ ์‚ฌํšŒ์  ์ฑ…๋ฌด์„ฑ ์ˆ˜ํ–‰ ์˜ํ–ฅ์š”์ธ์„ ๊ทœ๋ช…ํ•œ๋‹ค. ๋‘˜์งธ, ์˜๊ณผ๋Œ€ํ•™์˜ ์‚ฌํšŒ์  ์ฑ…๋ฌด์„ฑ ์ˆ˜ํ–‰ ์œ ํ˜•์„ ๋ฒ”์ฃผํ™”ํ•˜๊ณ  ํŠน์„ฑ์„ ๋ถ„์„ํ•œ๋‹ค. ์…‹์งธ, ์‚ฌํšŒ์  ์ฑ…๋ฌด์„ฑ ์ˆ˜ํ–‰ ์˜ํ–ฅ์š”์ธ์˜ ์ค‘์š”๋„์— ๋Œ€ํ•œ ์ธ์‹๊ณผ ์˜๊ณผ๋Œ€ํ•™์˜ ํ˜„ํ™ฉ์„ ๋ถ„์„ํ•œ๋‹ค. ๋„ท์งธ, ์˜๊ณผ๋Œ€ํ•™์˜ ์‚ฌํšŒ์  ์ฑ…๋ฌด์„ฑ ์ˆ˜ํ–‰ ์ธก์ •์„ ์œ„ํ•œ ์ง€ํ‘œ๋ฅผ ๊ฐœ๋ฐœํ•œ๋‹ค. ์˜๊ณผ๋Œ€ํ•™์˜ ์‚ฌํšŒ์  ์ฑ…๋ฌด์„ฑ ์ˆ˜ํ–‰์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ์„ ๊ทœ๋ช…ํ•˜๊ธฐ ์œ„ํ•ด ๊ตญ๋‚ด ์˜๊ณผ๋Œ€ํ•™์˜ ํ˜„์ง ํ•™์žฅ 40๋ช…๊ณผ ์˜ํ•™๊ต์œก ์ „๋ฌธ๊ฐ€ ์ง‘๋‹จ 15๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ์ด 55๋ช…์˜ ์ž๋ฃŒ๊ฐ€ ์ตœ์ข… ๋ถ„์„์— ํฌํ•จ๋˜์—ˆ๋‹ค. ๋˜ํ•œ ์˜๊ณผ๋Œ€ํ•™์˜ ์‚ฌํšŒ์  ์ฑ…๋ฌด์„ฑ ์ˆ˜ํ–‰ ์œ ํ˜• ๋ฒ”์ฃผํ™”์™€ ์ค‘์š”๋„ ์ธ์‹๊ณผ ๋Œ€ํ•™์˜ ํ˜„ํ™ฉ์„ ๋ถ„์„ํ•˜๊ธฐ ์œ„ํ•ด ๊ตญ๋‚ด 40๊ฐœ ์˜๊ณผ๋Œ€ํ•™์˜ ์˜๊ฒฌ์„ ์ˆ˜๋ ดํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ์— ์‚ฌ์šฉ๋œ ์กฐ์‚ฌ๋„๊ตฌ๋Š” ์—ฐ๊ตฌ์ž๊ฐ€ ๊ฐœ๋ฐœํ•œ โ€˜์˜๊ณผ๋Œ€ํ•™์˜ ์‚ฌํšŒ์  ์ฑ…๋ฌด์„ฑ ์ˆ˜ํ–‰ ์˜ํ–ฅ์š”์ธ ์ค‘์š”๋„์™€ ํ˜„ํ™ฉ์— ๊ด€ํ•œ ์˜๊ฒฌ ์กฐ์‚ฌ์ง€โ€™์ด๋‹ค. ์ž๋ฃŒ ๋ถ„์„์€ ๊ธฐ์ˆ ํ†ต๊ณ„์™€ ์ง‘๋‹จ ๊ฐ„ ์ฐจ์ด๊ฒ€์ •, ํƒ์ƒ‰์  ์š”์ธ๋ถ„์„๊ณผ ๋‹ค์ค‘ํšŒ๊ท€๋ถ„์„, ๊ตฐ์ง‘๋ถ„์„, ์ค‘์š”๋„-ํ˜„ํ™ฉ ๋ถ„์„(IPA)์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ์˜๊ณผ๋Œ€ํ•™์˜ ์‚ฌํšŒ์  ์ฑ…๋ฌด์„ฑ ์ˆ˜ํ–‰ ์ธก์ •์ง€ํ‘œ๋ฅผ ๊ฐœ๋ฐœํ•˜๊ธฐ ์œ„ํ•ด 4๋ช…์˜ ์ „๋ฌธ๊ฐ€ ํฌ์ปค์Šค ๊ทธ๋ฃน๊ณผ 15๋ช…์˜ ์˜ํ•™๊ต์œก ๊ด€๋ จ ์ „๋ฌธ๊ฐ€ ์ง‘๋‹จ ์˜๊ฒฌ์„ ์ˆ˜๋ ดํ•˜์˜€๋‹ค. ํฌ์ปค์Šค ๊ทธ๋ฃน๊ณผ ๋ธํŒŒ์ด ๊ทธ๋ฃน์€ ๊ฐ๊ฐ 3์ฐจ๋ก€์”ฉ ์˜๊ฒฌ ์ˆ˜๋ ด์ด ์ง„ํ–‰๋˜์—ˆ๋‹ค. ์˜๊ณผ๋Œ€ํ•™์˜ ์‚ฌํšŒ์  ์ฑ…๋ฌด์„ฑ ์ˆ˜ํ–‰ ์˜ํ–ฅ์š”์ธ ๊ทœ๋ช…๊ณผ ์ธก์ •์ง€ํ‘œ ๊ฐœ๋ฐœ์— ๊ด€ํ•œ ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ์˜๊ณผ๋Œ€ํ•™์˜ ์‚ฌํšŒ์  ์ฑ…๋ฌด์„ฑ ์ˆ˜ํ–‰์— ์˜ํ–ฅ์„ ์ฃผ๋Š” ์š”์ธ์€ 3์˜์—ญ์˜ 8์š”์ธ์ด๋‹ค. ํ•˜๋“œ์›จ์–ด ์˜์—ญ์€ ์‚ฌํšŒ์  ์ฑ…๋ฌด์„ฑ ์„ ์–ธ๊ณผ ์ธ๋ ฅ๋ฐฐ์ถœ, ์ˆ˜ํ–‰ ์กฐ์ง๊ณผ ์ฒด๊ณ„, ๋ฌผ๋ฆฌยท์žฌ์ •์  ํ™˜๊ฒฝ ์š”์ธ์ด ํฌํ•จ๋œ๋‹ค. ์†Œํ”„ํŠธ์›จ์–ด ์˜์—ญ์€ ์ฑ…๋ฌด์„ฑ ๊ต์œก๊ณผ์ • ํŽธ์„ฑ๊ณผ ๋ชจ๋‹ˆํ„ฐ๋ง๊ณผ ํ‰๊ฐ€ ์š”์ธ์ด๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ํŒŒํŠธ๋„ˆ์˜์—ญ์€ ํŒŒํŠธ๋„ˆ๊ฐ„ ๊ทผ์ ‘์„ฑ, ํŒŒํŠธ๋„ˆ์‹ญ ๊ตฌ์ถ•, ํŒŒํŠธ๋„ˆ์™€์˜ ์ƒํ˜ธ์ž‘์šฉ ์š”์ธ์ด ํฌํ•จ๋œ๋‹ค. ์ด ์ค‘ ํŒŒํŠธ๋„ˆ์™€์˜ ์ƒํ˜ธ์ž‘์šฉ์€ ์˜๊ณผ๋Œ€ํ•™์˜ ์‚ฌํšŒ์  ์ฑ…๋ฌด์„ฑ์„ ์ˆ˜ํ–‰ํ•˜๋Š”๋ฐ ๊ฐ€์žฅ ํฐ ์š”์ธ์œผ๋กœ ์ž‘์šฉํ•˜์˜€๋‹ค. ์•„์šธ๋Ÿฌ, ํ•™์žฅ์ง‘๋‹จ๊ณผ ์ „๋ฌธ๊ฐ€์ง‘๋‹จ์˜ ์ฐจ์ด๋Š” ์ „์ฒด์ ์ธ ์š”์ธ์—์„œ ํ•™์žฅ ์ง‘๋‹จ์ด ๋†’์•˜์œผ๋ฉฐ, ๊ทธ ์ค‘ ํ•™์žฅ ์ง‘๋‹จ์€ ์‚ฌํšŒ์  ์ฑ…๋ฌด์„ฑ ์„ ์–ธ๊ณผ ์ธ๋ ฅ ๋ฐฐ์ถœ, ์ฑ…๋ฌด์„ฑ ๊ต์œก๊ณผ์ • ํŽธ์„ฑ, ์ˆ˜ํ–‰ ์กฐ์ง๊ณผ ์ฒด๊ณ„ ๋“ฑ์„ ์ค‘์š”ํ•˜๊ฒŒ ์ธ์‹ํ•˜๊ณ  ์žˆ๋‹ค. ๋‘˜์งธ, ์˜๊ณผ๋Œ€ํ•™์˜ ์‚ฌํšŒ์  ์ฑ…๋ฌด์„ฑ ์ˆ˜ํ–‰ ํ˜„ํ™ฉ์„ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ ํฌ๊ฒŒ ์„ ๋„ํ˜• ๋Œ€ํ•™, ์„ฑ์žฅํ˜• ๋Œ€ํ•™, ์ž ์žฌํ˜• ๋Œ€ํ•™์œผ๋กœ ๊ตฌ๋ถ„๋œ๋‹ค. ์„ ๋„ํ˜• ๋Œ€ํ•™์€ 40๊ฐœ ๋Œ€ํ•™ ์ค‘ 5๊ฐœ ๋Œ€ํ•™์ด ์„ ์ •๋˜์—ˆ์œผ๋ฉฐ, 8๊ฐœ ์š”์ธ์„ ๊ท ํ˜•์ ์œผ๋กœ ์ˆ˜ํ–‰ํ•˜๊ณ  ์žˆ์—ˆ๋‹ค. ํ•œ๊ตญ์  ๋งฅ๋ฝ์— ๋”ฐ๋ฅธ ์„ค๋ฆฝ์œ ํ˜•, ์†Œ์žฌ์ง€, ์„ค๋ฆฝ์—ฐ๋„๋ณ„๋กœ ์˜๊ณผ๋Œ€ํ•™์˜ ์‚ฌํšŒ์  ์ฑ…๋ฌด์„ฑ ์ˆ˜ํ–‰ ์ค‘์š”๋„์™€ ํ˜„์žฌ์ˆ˜์ค€์„ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, ๊ตญ๋ฆฝ์ด ์‚ฌ๋ฆฝ๋ณด๋‹ค ํ˜„์žฌ ์ˆ˜์ค€์ด ๋†’์•˜์œผ๋ฉฐ, ๊ทธ ์™ธ์— ์†Œ์žฌ์ง€์™€ ์„ค๋ฆฝ์—ฐ๋„๋ณ„์—์„œ๋Š” ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๋Š” ์—†์—ˆ๋‹ค. ์…‹์งธ, ์˜๊ณผ๋Œ€ํ•™์˜ ์‚ฌํšŒ์  ์ฑ…๋ฌด์„ฑ๊ณผ ๊ด€๋ จํ•œ ใ€ŒASK2019ใ€๊ธฐ์ค€์„ ์„ ์ •ํ•œ ๊ฒฐ๊ณผ, 92๊ฐœ ๊ธฐ๋ณธ ๊ธฐ์ค€ ์ค‘ ์‚ฌํšŒ์  ๊ทธ๋ฆฌ๋“œ ๋ชจํ˜•์œผ๋กœ ํฌ์ปค์Šค ๊ทธ๋ฃน์„ ํ†ตํ•ด 61๊ฐœ ๊ธฐ์ค€์ด ์„ ์ •๋˜์—ˆ๊ณ , ์ „๋ฌธ๊ฐ€ ์ง‘๋‹จ์˜ ์˜๊ฒฌ์ˆ˜๋ ด์—์„œ๋Š” 41๊ฐœ ๊ธฐ์ค€์ด ์„ ์ •๋˜์—ˆ๋‹ค. ์‚ฌํšŒ์  ๊ทธ๋ฆฌ๋“œ ๋ชจํ˜•์œผ๋กœ ๋ถ„๋ฅ˜ํ•œ ๊ฒฐ๊ณผ ใ€ŒASK2019ใ€๊ธฐ์ค€์€ ๊ต์œก๊ณผ ์งˆ ์˜์—ญ, ๋‚ด์šฉ์„ ์ค‘์š”ํ•˜๊ฒŒ ํ‰๊ฐ€ํ•˜๊ณ  ์žˆ๋‹ค. ์—ฐ๊ตฌ์™€ ์งˆ, ๋น„์šฉํšจ๊ณผ์„ฑ๊ณผ ํ˜•ํ‰์„ฑ์— ๋Œ€ํ•œ ๊ธฐ์ค€ ๊ฐœ๋ฐœ ๋ฐ ์กฐ์ •์ด ํ•„์š”ํ•˜๋‹ค. ๋„ท์งธ, ์˜๊ณผ๋Œ€ํ•™์˜ ์‚ฌํšŒ์  ์ฑ…๋ฌด์„ฑ์„ ๋ฐ˜์˜ํ•œ ใ€ŒASK2019ใ€๊ธฐ๋ณธ ๊ธฐ์ค€ ์ค‘ 41๊ฐœ ๊ธฐ์ค€์„ ๋Œ€์ƒ์œผ๋กœ ์ธก์ •์ง€ํ‘œ๋ฅผ ์ •๋Ÿ‰์  ์ง€ํ‘œ์™€ ์ •์„ฑ์  ์ง€ํ‘œ๋กœ ๋‚˜๋‰˜์–ด ์ด 252๊ฐœ ์ง€ํ‘œ๋ฅผ ๊ฐœ๋ฐœํ•˜์˜€๋‹ค. ๊ทธ ์ค‘ ์ธก์ •์ง€ํ‘œ์˜ ์ ํ•ฉ์„ฑ๊ณผ ์ธก์ •์šฉ์ด์„ฑ์— ๋Œ€ํ•œ ์ถ”๊ฐ€ ์˜๊ฒฌ์„ ์ˆ˜๋ ดํ•˜์—ฌ ๊ฐ ์˜์—ญ์—์„œ 3.5์  ์ด์ƒ์˜ ์ง€ํ‘œ๋ฅผ ๋Œ€์ƒ์œผ๋กœ ์˜๊ณผ๋Œ€ํ•™์˜ ์‚ฌํšŒ์  ์ฑ…๋ฌด์„ฑ์„ ๋ฐ˜์˜ํ•œ ใ€ŒASK2019ใ€๊ธฐ๋ณธ๊ธฐ์ค€์˜ ํ‰๊ฐ€ ๋งคํŠธ๋ฆญ์Šค๋ฅผ ๊ฐœ๋ฐœํ•˜์˜€๋‹ค. ์ด ์—ฐ๊ตฌ์˜ ๋…ผ์˜๋Š” ์˜๊ณผ๋Œ€ํ•™์˜ ์‚ฌํšŒ์  ์ฑ…๋ฌด์„ฑ ์ˆ˜ํ–‰ ๊ฐ•ํ™”๋ฅผ ์œ„ํ•ด ํŒŒํŠธ๋„ˆ์‹ญ ๊ตฌ์ถ•๊ณผ ์ƒํ˜ธ์ž‘์šฉ์ด ์ค‘์š”ํ•˜๋ฏ€๋กœ ๋Œ€ํ•™ ๊ฐ„, ๊ตญ๊ฐ€ ๋ฐ ์ง€์—ญ ๊ฐ„์˜ ๊ณต๋™ ์ปจ์†Œ์‹œ์—„ ๊ฐœ๋ฐœ์„ ์ œ์–ธํ•˜์˜€๋‹ค. ๋˜ํ•œ ์˜๊ณผ๋Œ€ํ•™์˜ ์‚ฌํšŒ์  ์ฑ…๋ฌด์„ฑ๊ณผ ๊ด€๋ จํ•œ ๊ธฐ์ค€๊ณผ ์ง€ํ‘œ๋ฅผ ํ˜„ ํ‰๊ฐ€์ธ์ฆ ์ œ๋„์—์„œ ์ ๊ทน์ ์œผ๋กœ ๊ณ ๋ คํ•˜๊ณ  ๋ฐ˜์˜ํ•˜๋Š” ๊ฒƒ์„ ์ œ์•ˆํ•˜์˜€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ์˜๊ณผ๋Œ€ํ•™์ด ์ฒ˜ํ•œ ๋งฅ๋ฝ๊ณผ ์ƒํ™ฉ, ์ฃผ์ฒด์— ๋”ฐ๋ผ ์˜๊ณผ๋Œ€ํ•™์˜ ์‚ฌํšŒ์  ์ฑ…๋ฌด์„ฑ ์ˆ˜ํ–‰์ •๋„๋Š” ๋‹ฌ๋ผ์งˆ ์ˆ˜ ์žˆ์œผ๋ฏ€๋กœ, ๊ฐœ๋ณ„ ์˜๊ณผ๋Œ€ํ•™์˜ ์‚ฌํšŒ์  ์ฑ…๋ฌด์„ฑ ์ˆ˜ํ–‰ ๋ฉ”์ปค๋‹ˆ์ฆ˜ ๊ตฌ์ถ•์„ ์œ„ํ•œ ๋…ธ๋ ฅ์ด ํ•„์š”ํ•˜๋‹ค.open๋ฐ•

    (A) study on differences between consumers and nurses of perception of customer-oriented core values for quality nursing services

    No full text
    ๊ฐ„ํ˜ธํ•™๊ณผ/๋ฐ•์‚ฌ[ํ•œ๊ธ€] ์˜ค๋Š˜๋‚  ๋ณ‘์›๊ฒฝ์˜์ด ๊ณ ๊ฐ์ค‘์‹ฌ, ์„œ๋น„์Šค์ค‘์‹ฌ์œผ๋กœ ๋ณ€ํ™”ํ•˜๋ฉด์„œ ๋ณด๋‹ค ์šฐ์ˆ˜ํ•œ ๊ฐ„ํ˜ธ์„œ๋น„์Šคํ’ˆ์งˆ๊ด€๋ฆฌ๊ฐ€ ์š”๊ตฌ๋˜๊ณ  ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ณ ๊ฐ๊ณผ ๊ฐ„ํ˜ธ์‚ฌ๊ฐ„์˜ ๊ฐ„ํ˜ธ์„œ๋น„์Šคํ’ˆ์งˆ ํ•ต์‹ฌ๊ฐ€์น˜์— ๋Œ€ํ•œ ์ธ์‹์˜ ์ฐจ์ด๋ฅผ ํŒŒ์•…ํ•˜์—ฌ ๊ณ ๊ฐ์ง€ํ–ฅ์˜ ๋งž์ถค ๊ฐ„ํ˜ธ์„œ๋น„์Šค ์ œ๊ณต ์˜์‚ฌ๊ฒฐ์ • ๊ณผ์ •์„ ์ง€์›ํ•˜๋Š”๋ฐ ๊ธฐ์ดˆ๋ฅผ ๋งˆ๋ จํ•˜๊ณ ์ž ์‹œ๋„ํ•˜์˜€๋‹ค. 1998๋…„๋„๋ถ€ํ„ฐ ํ•œ๊ตญ์ƒ์‚ฐ์„ฑ๋ณธ๋ถ€๊ฐ€ ์‹ค์‹œํ•œ ๊ตญ๊ฐ€๊ณ ๊ฐ๋งŒ์กฑ๋„(National customer satisfaction indication : NCSI)์กฐ์‚ฌ ๊ฒฐ๊ณผ 6๋…„ ๋™์•ˆ 1์œ„๋ถ€ํ„ฐ 3์œ„๋ฅผ ์ฐจ์ง€ํ•˜์˜€๋˜ 4๊ฐœ 3์ฐจ ์˜๋ฃŒ๊ธฐ๊ด€์˜ ๊ณ ๊ฐ๊ณผ ๊ฐ„ํ˜ธ์‚ฌ๋ฅผ ๋Œ€์ƒ์œผ๋กœ 2003๋…„ 2์›”๋ถ€ํ„ฐ 4์›”๊นŒ์ง€ 2๊ฐœ์›”๊ฐ„ ๋‚ด, ์™ธ๊ณผ๊ณ„ ์ž…์› ๊ณ ๊ฐ 313๋ช… ๊ฐ„ํ˜ธ์‚ฌ 315๋ช…์„ ๋Œ€์ƒ์œผ๋กœ Parasuraman ๋“ฑ(1991)์ด ์ œ์‹œํ•œ SERVQUAL๋ชจ๋ธ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ์ž…์›ํ™˜์ž ์ค‘์ฆ๋„ ๋ถ„๋ฅ˜์ง€ํ‘œ๋กœ ์‚ฌ์šฉ๋˜๋Š” 8๊ฐœ์˜ ๊ธฐ๋ณธ๊ฐ„ํ˜ธ์„œ๋น„์Šค ์˜์—ญ์„ ๊ฐ€์ง€๊ณ  ์—ฐ๊ตฌ์ž๊ฐ€ ๊ฐœ๋ฐœํ•œ ๊ฐ„ํ˜ธ์„œ๋น„์Šคํ’ˆ์งˆ ์ธก์ •๋„๊ตฌ์— ์˜ํ•ด ๊ณ ๊ฐ๊ณผ ๊ฐ„ํ˜ธ์‚ฌ๊ฐ„์˜ ์ธ์‹์˜ ์ฐจ์ด๋ฅผ ์ธก์ •ํ•œ ํšก๋‹จ์  ๋น„๊ต๋ถ„์„์—ฐ๊ตฌ์ด๋‹ค. ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. 1) ์ฃผ ๊ฐ€์„ค ๊ฒ€์ฆ๊ฒฐ๊ณผ 1)-1. ''๊ฐ„ํ˜ธ์„œ๋น„์Šคํ’ˆ์งˆ์— ๋Œ€ํ•œ ๊ณ ๊ฐ์˜ ์‚ฌ์ „๊ธฐ๋Œ€์™€ ๊ฐ„ํ˜ธ์‚ฌ์˜ ์‚ฌ์ „์ธ์‹์—๋Š” ์ฐจ์ด๊ฐ€ ์žˆ์„ ๊ฒƒ์ด๋‹ค.''๋ผ๋Š” ์ œ 1๊ฐ€์„ค์€ ์‹ ๋ขฐ์„ฑ, ์‹ ์†์„ฑ, ๋ณด์ฆ์„ฑ, ๊ณต๊ฐ์„ฑ์—์„œ ๊ฐ„ํ˜ธ์‚ฌ์˜ ์‚ฌ์ „ ์ธ์‹์ •๋„๊ฐ€ ๋†’๊ฒŒ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋‚˜ํƒ€๋ƒˆ๋‹ค. 1)-2. ''๊ฐ„ํ˜ธ์„œ๋น„์Šคํ’ˆ์งˆ์— ๋Œ€ํ•œ ๊ณ ๊ฐ์˜ ์‚ฌ์ „ ๊ธฐ๋Œ€์™€ ๊ฐ„ํ˜ธ์‚ฌ์˜ ์‚ฌํ›„ํ‰๊ฐ€ ์ธ์‹์—๋Š” ์ฐจ์ด๊ฐ€ ์žˆ์„ ๊ฒƒ์ด๋‹ค.'' ๋ผ๋Š” ์ œ 2๊ฐ€์„ค์€ ์™ธํ˜•์„ฑ์—์„œ ๊ฐ„ํ˜ธ์‚ฌ์˜ ์‚ฌํ›„ํ‰๊ฐ€ ์ธ์‹์ •๋„๊ฐ€ ๋‚ฎ๊ฒŒ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋‚˜ํƒ€๋ƒˆ๋‹ค. 1)-3. ''๊ฐ„ํ˜ธ์‚ฌ์˜ ์‚ฌ์ „์ธ์‹๊ณผ ์‚ฌํ›„ํ‰๊ฐ€ ์ธ์‹์—๋Š” ์ฐจ์ด๊ฐ€ ์žˆ์„ ๊ฒƒ์ด๋‹ค.''๋ผ๋Š” ์ œ 3๊ฐ€์„ค์€ ์™ธํ˜•์„ฑ, ์‹ ๋ขฐ์„ฑ, ์‹ ์†์„ฑ, ๋ณด์ฆ์„ฑ, ๊ณต๊ฐ์„ฑ์—์„œ ์‚ฌ์ „์ธ์‹์ •๋„์— ๋น„ํ•ด ์‚ฌํ›„ํ‰๊ฐ€ ์ธ์‹์ •๋„๊ฐ€ ๋‚ฎ๊ฒŒ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋‚˜ํƒ€๋ƒˆ๋‹ค. 1)-4. ''๊ณ ๊ฐ์˜ ์‚ฌํ›„ํ‰๊ฐ€ ์ธ์‹๊ณผ ๊ฐ„ํ˜ธ์‚ฌ์˜ ์‚ฌํ›„ํ‰๊ฐ€ ์ธ์‹์—๋Š” ์ฐจ์ด๊ฐ€ ์žˆ์„ ๊ฒƒ์ด๋‹ค.''๋ผ๋Š” ์ œ 4๊ฐ€์„ค์€ ์™ธํ˜•์„ฑ์—์„œ ๊ณ ๊ฐ๋ณด๋‹ค ๊ฐ„ํ˜ธ์‚ฌ๊ฐ€ ๋‚ฎ๊ฒŒ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋‚˜ํƒ€๋ƒˆ๋‹ค. 1)-5. ''๊ฐ„ํ˜ธ์„œ๋น„์Šคํ’ˆ์งˆ์— ๋Œ€ํ•œ ๊ณ ๊ฐ์˜ ์‚ฌ์ „๊ธฐ๋Œ€์™€ ์‚ฌํ›„ํ‰๊ฐ€ ์ธ์‹์—๋Š” ์ฐจ์ด๊ฐ€ ์žˆ์„ ๊ฒƒ์ด๋‹ค.''๋ผ๋Š” ์ œ 5๊ฐ€์„ค์€ ์™ธํ˜•์„ฑ, ์‹ ๋ขฐ์„ฑ, ์‹ ์†์„ฑ, ๋ณด์ฆ์„ฑ, ๊ณต๊ฐ์„ฑ์—์„œ ์‚ฌ์ „๊ธฐ๋Œ€ ๋ณด๋‹ค ์‚ฌํ›„ํ‰๊ฐ€ ์ธ์‹์ •๋„๊ฐ€ ๋‚ฎ๊ฒŒ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋‚˜ํƒ€๋ƒˆ๋‹ค. 1)-6. ''๊ณ ๊ฐ๊ณผ ๊ฐ„ํ˜ธ์‚ฌ์˜ ๊ฐ„ํ˜ธ์„œ๋น„์Šคํ’ˆ์งˆ ์ค‘์š”๋„ ์ธ์‹์—๋Š” ์ฐจ์ด๊ฐ€ ์žˆ์„ ๊ฒƒ์ด๋‹ค.''๋ผ๋Š” ์ œ 6๊ฐ€์„ค์€ ๊ฐ„ํ˜ธ์„œ๋น„์Šค ํ’ˆ๋ชฉ์— ๋”ฐ๋ผ ์ค‘์š”๋„ ์ธ์‹์˜ ์šฐ์„ ์ˆœ์œ„๋งŒ ๋‹ค๋ฅด๊ณ  5๊ฐ€์ง€ ํ•ต์‹ฌ๊ฐ€์น˜๋ฅผ ๋ชจ๋‘ ์ค‘์š”ํ•˜๊ฒŒ ์ธ์‹ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. 2) ๋ถ€ ๊ฐ€์„ค ๊ฒ€์ฆ๊ฒฐ๊ณผ 2)-1. ''๊ณ ๊ฐ์˜ ์ผ๋ฐ˜์  ํŠน์„ฑ์— ๋”ฐ๋ฅธ ๊ฐ„ํ˜ธ์„œ๋น„์Šคํ’ˆ์งˆ์— ๋Œ€ํ•œ ์‚ฌ์ „๊ธฐ๋Œ€, ์‚ฌํ›„ํ‰๊ฐ€ ์ธ์‹์—๋Š” ์ฐจ์ด๊ฐ€ ์žˆ์„ ๊ฒƒ์ด๋‹ค''๋ผ๋Š” ์ œ 1๋ถ€ ๊ฐ€์„ค์€ ์—ฌ์„ฑ ๊ณ ๊ฐ์ผ์ˆ˜๋ก, 1์ธ์‹ค๊ณผ ํŠน์‹ค ๊ณ ๊ฐ์ผ์ˆ˜๋ก, ๊ฐ„ํ˜ธ์„œ๋น„์Šค์— ๋Œ€ํ•ด ์ „ํ˜€ ๊ฒฝํ—˜์ด ์—†๊ฑฐ๋‚˜ ๊ธ์ •์ ์ธ ๊ฒฝํ—˜์ด ์žˆ๋Š” ๊ณ ๊ฐ์ผ์ˆ˜๋ก, ๊ธ์ •์ ์ธ ์™ธ๋ถ€ ๊ตฌ์ „๊ฒฝํ—˜์ด ์žˆ๋Š” ๊ณ ๊ฐ์ผ์ˆ˜๋ก ์‚ฌ์ „๊ธฐ๋Œ€์™€ ์‚ฌํ›„ํ‰๊ฐ€ ์ธ์‹์ •๋„๊ฐ€ ๋†’๊ฒŒ ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋‚˜ํƒ€๋ƒˆ๋‹ค. 2)-2. ''๊ฐ„ํ˜ธ์‚ฌ์˜ ์ผ๋ฐ˜์  ํŠน์„ฑ์— ๋”ฐ๋ฅธ ์‚ฌ์ „์ธ์‹, ์‚ฌํ›„ํ‰๊ฐ€ ์ธ์‹์—๋Š” ์ฐจ์ด๊ฐ€ ์žˆ์„ ๊ฒƒ์ด๋‹ค''๋ผ๋Š” ์ œ 2๋ถ€ ๊ฐ€์„ค์€ ์šฐ์ˆ˜ํ•œ ๊ฐ„ํ˜ธ์„œ๋น„์Šคํ’ˆ์งˆ์„ ์ œ๊ณตํ•˜๊ธฐ ์œ„ํ•ด์„œ ''์ ์ •๊ฐ„ํ˜ธ์ธ๋ ฅ''์ด ๊ฐ€์žฅ ์ค‘์š”ํ•œ ์กฐ๊ฑด์ด๋ผ๊ณ  ํ•œ ๊ฐ„ํ˜ธ์‚ฌ์ผ์ˆ˜๋ก, ์ง์œ„๊ฐ€ ์žˆ๋Š” ๊ฒฝ๋ ฅ ๊ฐ„ํ˜ธ์‚ฌ์ผ์ˆ˜๋ก ์‚ฌ์ „ ์ธ์‹์ •๋„๊ฐ€ ๋†’์•˜๊ณ , ๊ฐ„ํ˜ธ์‚ฌ ๊ฐœ์ธ์—ญ๋Ÿ‰์ด ์šฐ์ˆ˜ํ•œ ๊ฐ„ํ˜ธ์„œ๋น„์Šคํ’ˆ์งˆ์— ์ค‘์š”ํ•œ ์กฐ๊ฑด์ด๋ผ๊ณ  ํ•œ ๊ฐ„ํ˜ธ์‚ฌ์ผ์ˆ˜๋ก ์‚ฌํ›„ํ‰๊ฐ€ ์ธ์‹์ •๋„๊ฐ€ ๋†’๊ฒŒ ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋‚˜ํƒ€๋ƒˆ๋‹ค. ๊ฒฐ๋ก ์ ์œผ๋กœ ๊ณ ๊ฐ๊ณผ ๊ฐ„ํ˜ธ์‚ฌ์˜ ๊ฐ„ํ˜ธ์„œ๋น„์Šคํ’ˆ์งˆ์˜ ํ•ต์‹ฌ๊ฐ€์น˜ ์ธ์‹์˜ ์ฐจ์ด๋ฅผ ๊ฐœ์„ ํ•˜๊ธฐ ์œ„ํ•ด ๊ณ ๊ฐ์˜ ๊ฐ€์น˜์™€ ์ผ์น˜ํ•˜๋Š” ํ’ˆ์งˆ์„ ์ œ๊ณตํ•˜๋Š” ๊ฐ„ํ˜ธ์‚ฌ์˜ ์˜์‚ฌ๊ฒฐ์ •๊ณผ์ •์„ ์ง€์›ํ•˜๊ณ , ํšจ๊ณผ์ ์ธ ๊ณ ๊ฐ๋งŒ์กฑ ์‹คํ˜„์„ ์œ„ํ•œ ๊ฐ„ํ˜ธ์˜ ํ•ต์‹ฌ๊ฐ€์น˜ ๊ตฌํ˜„ ์‹œ์Šคํ…œ์„ ๊ตฌ์ถ•ํ•˜์—ฌ ๊ฐ„ํ˜ธ์„œ๋น„์Šคํ’ˆ์งˆ ๊ฐœ์„  ํ–ฅ์ƒ ๋ฐฉํ–ฅ์„ ๋ชจ์ƒ‰ํ•จ์œผ๋กœ์„œ ๋ณ‘์›๊ฐ„ํ˜ธ ์„œ๋น„์Šค ๋งˆ์ผ€ํŒ… ์ „๋žต ์ˆ˜๋ฆฝ์— ๊ธฐ์ดˆ๊ฐ€ ๋˜๊ณ  ๊ฐ„ํ˜ธ์ƒ์‚ฐ์„ฑ๊ณผ ๋ณ‘์›์ˆ˜์ต์„ฑ ์ฆ๋Œ€ ์ „๋žต ์ˆ˜๋ฆฝ์— ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€ํ•œ๋‹ค. ํ•ต์‹ฌ๋˜๋Š”๋ง : ๊ณ ๊ฐ์ง€ํ–ฅ์ . ๊ฐ„ํ˜ธ์„œ๋น„์Šคํ’ˆ์งˆ. ํ•ต์‹ฌ๊ฐ€์น˜. ์ธ์‹ [์˜๋ฌธ] Consumers'' and nurses'' perceptions of nursing services in a medical-surgical department were compared and analyzed in this study. The purpose of the study was to measure differences of perceptions that could be used to evaluate the quality of nursing services by identifying consumers'' expectation and nurses'' perception of nursing services according to the SERVQUAL model. The participants were 315 nurses and 313 consumers from tertiary general hospitals ranked first to third in evaluation by the NCSI (National Customer Satisfaction Indication). Data collection was done in 4 tertiary general hospitals in Seoul from February to April 2003. The data were analyzed with descriptive statistics, t-test, paired t-test, and ANOVA using the SAS program. Delphi was used for the research tool and the results of the research are as follows: Five nursing service core values to measure the quality of nursing service were identified, Tangibility, Reliability, Responsiveness, Assurance, and Empathy. 1) The main hypothesis were as follows: Hypothesis 1 that there will be a difference between consumers'' prior expectations of the quality of nursing services and nurses'' prior perceptions of consumers'' expectations was accepted for Reliability, Responsiveness, Assurance, and Empathy (p<.01). Hypothesis 2 that there will be a difference between consumers'' prior expectations of the quality of nursing services and the quality of nursing services actually provided was accepted for Tangibility (p<.01). Hypothesis 3 that consumers'' expectations of quality of nursing services and perception of actual quality of nursing will be different was accepted for Tangibility, Reliability, Responsiveness, Assurance, and Empathy (p<.01). Hypothesis 4 that there will be a difference between consumer evaluation and nurses'' evaluation of actual quality of nursing service was accepted for Reliability (p<.01). Hypothesis 5 that there will be a difference between consumers'' prior expectations of nursing services and evaluation after service was supported for Tangibility (p<.01). For Hypothesis 6 that there will be a difference between consumers and nurses regarding perception of the important core values for quality of each nursing service, only two items ''examination and treatment'' and ''education and emotional support'', were the same for both two groups. Perception was different for all other services. Examination of prior expectation of quality of nursing services according to demographic characteristics of the consumers, showed that women, those in private rooms, those with no experience with nursing services or positive experience, and those with no experience with quality of nursing services or positive experience had higher prior expectations and higher perception in evaluation of nursing service. Examination of prior perception of consumers'' expectations according to demographic characteristics of the nurses, showed that the most important factor was the need to have enough personnel to be able to give quality nursing service. Experienced nurses reported higher perceptions of consumers'' expectations, in the post evaluation, nurses who stressed the need for high quality nursing services had high evaluation scores. In this research based on the SERVQUAL Model by Parasuraman, A., et al. (1991), expectations, perceptions and customer-oriented nursing services were examined. According to the results of the research, nurses should try to decrease the differences between customers and nurses in the perception of customer-oriented the core value of nursing services quality. As a result of the above research, nurses can improve the quality of nursing service by reducing the difference between customers'' and nurses'' perceptions of core values of nursing through support of a nursing decision making process that provides quality consistent with the customers'' core values. This study provides basic data to contribute to the realization of effective customer satisfaction, the development of a system of nursing core values, the examination of ways to improve the quality of nursing service, and it provides a basis for marketing strategies for hospital nursing services and establishes strategies to increase nursing outcomes and hospital finances. Key Words : Customer - orientation . Quality of nursing services . Core value. Perceptionope

    ์šฐ๋ฐฉ์ž์˜ ์„ธํฌ์„ฑ์žฅ ์–ต์ œ ์„ฑ๋ถ„์— ๊ด€ํ•œ ์—ฐ๊ตฌ

    No full text
    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์•ฝํ•™๊ณผ ์•ฝํ’ˆ๋ถ„์„ํ™”ํ•™์ „๊ณต,2003.Maste
    • โ€ฆ
    corecore