137 research outputs found

    The Use of the Minnesota Multiphasic Personality Inventory in Comprehensive Rehabilitative Treatment of Low Back Pain

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    ์˜ํ•™๊ณผ/์„์‚ฌ[์˜๋ฌธ] [ํ•œ๊ธ€] ๋‹ค๋ฉด์  ์ธ์„ฑ๊ฒ€์‚ฌ(MMPI;Minnesota Multiphasic Personality Inventory)๋Š” ์š”ํ†ต์ด ๊ฐ–๋Š” ๋ณตํ•ฉ์„ฑ์ค‘ ์‹ฌ๋ฆฌ์  ์š”์ธ์— ๋Œ€ํ•œ ํ‰๊ฐ€๋ฐฉ๋ฒ•์œผ๋กœ์„œ ๋‹ค๋ฅธ ์ž„์ƒ ์†Œ๊ฒฌ๊ณผ ์ž์ฃผ ๋น„๊ต ์—ฐ๊ตฌ๋˜์–ด ์™”๋‹ค . ์ €์ž๋Š” ๋ณธ ์—ฐ๊ตฌ์—์„œ ๊ธฐ์งˆ์  ์š”ํ†ต์œผ๋กœ ์ž…์›ํ•œ 79๋ช…์˜ ํ™˜์ž์™€ ์ •์ƒ ๋Œ€์กฐ๊ตฐ 35๋ช…์„ ๋Œ€์ƒ์œผ ๋กœ ๋‹ค๋ฉด์  ์ธ์„ฑ๊ฒ€์‚ฌ๋ฅผ ์‹ค์‹œํ•˜์—ฌ ๊ทธ ๊ฒฐ๊ณผ๋ฅผ ์กฐ์‚ฌํ•˜๊ณ  ํ™˜์ž๊ตฐ์˜ ์ผ๋ฐ˜์  ํŠน์„ฑ, ์ž…์ƒ ์†Œ๊ฒฌ ๋ฐ ์น˜๋ฃŒ ๊ฒฐ๊ณผ์™€ ๋น„๊ต ๊ฒ€ํ† ํ•œ ๋ฐ” ์ฃผ์š”ํ•œ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. 1. ์š”ํ†ต ํ™˜์ž๊ตฐ์˜ ๋‹ค๋ฉด์  ์ธ์„ฑ๊ฒ€์‚ฌ ์ฒ™๋„์ค‘ ์‹ฌ๊ธฐ์ฆ ์ฒ™๋„, ์šฐ์šธ์ฆ ์ฒ™๋„ ๋ฐ ํžˆ์Šคํ…Œ๋ฆฌ ์ฒ™๋„ ์˜ ํ‰๊ท  T-์ ์ˆ˜๊ฐ€ ๊ฐ๊ฐ 59.7์ , 55.9์  ๋ฐ 59.6์ ์œผ๋กœ ์ •์ƒ ๋Œ€์กฐ๊ตฐ์— ๋น„ํ•˜์—ฌ ์œ ์˜ํ•˜๊ฒŒ ๋†’ ์€ ์ ์ˆ˜๋ฅผ ๋‚˜ํƒ€๋ƒˆ๋‹ค(P<0.01). 2. ๋ณ‘๋ ฅ ๊ธฐ๊ฐ„์ด 6๊ฐœ์›” ์ด์ƒ์ธ ๋งŒ์„ฑ ํ™˜์ž์˜ ๋‹ค๋ฉด์  ์ธ์„ฑ๊ฒ€์‚ฌ ์ฒ™๋„์ค‘์—์„œ ์‹ฌ๊ธฐ์ฆ ์ฒ™๋„, ์šฐ์šธ์ฆ ์ฒ™๋„ ๋ฐ ํžˆ์Šคํ…Œ๋ฆฌ ์ฒ™๋„์˜ ํ‰๊ท  T-์ ์ˆ˜๊ฐ€ ๊ธ‰์„ฑ ํ™˜์ž์˜ ๊ทธ๊ฒƒ์— ๋น„ํ•˜์—ฌ ํ™˜์ž์˜ ๊ทธ๊ฒƒ ์— ๋น„ํ•˜์—ฌ ์œ ์˜ํ•˜๊ฒŒ ๋†’์•˜๋‹ค(P<0.01) 3. ํ‡ด์› ๋‹น์‹œ ์น˜๋ฃŒ ๊ฒฐ๊ณผ๋ฅผ ๋ณด๋ฉด 59๋ก€(74.7%)์—์„œ ๋งŒ์กฑํ• ๋งŒํ•œ ๊ฒฐ๊ณผ๋ฅผ ๋ณด์ธ ๊ฒƒ์„ ๋น„๋กฏํ•˜ ์—ฌ ์ „์ฒด์˜ 95%์—์„œ ์ฆ์„ธ์˜ ํ˜ธ์ „์„ ๋ณด์˜€๋Š”๋ฐ, ์‹ฌ๊ธฐ์ฆ ์ฒ™๋„, ์šฐ์šธ์ฆ ์ฒ™๋„ ๋ฐ ํžˆ์Šคํ…Œ๋ฆฌ ์ฒ™๋„ ์˜ ํ‰๊ท  T-์ ์ˆ˜๋Š” ์น˜๋ฃŒ ๊ฒฐ๊ณผ์™€ ์œ ์˜ํ•œ ์ƒ๊ด€์„ฑ์ด ์žˆ์—ˆ๋‹ค(P<0.01). 4. ํ‰๊ท  ์ž…์›๊ธฐ๊ฐ„์€ 23.6์ผ์ด์—ˆ์œผ๋ฉฐ, ์‹ ๊ฒฝ์ฆ 3์ฃผ์ง•์˜ T-์ ์ˆ˜์™€ ์ž…์› ๊ธฐ๊ฐ„๊ฐ„์— ์œ ์˜ํ•œ ์ƒ๊ด€์„ฑ์€ ์—†์—ˆ๋‹ค. 5. ๋ณด์ƒ๊ณผ ๊ด€๊ณ„๋œ 3๋ก€๋Š” ์ „์ฒด ํ™˜์ž๊ตฐ์— ๋น„ํ•˜์—ฌ ์น˜๋ฃŒ๊ฒฐ๊ณผ๊ฐ€ ์ข‹์ง€ ์•Š์•˜๊ณ  ์ž…์› ๊ธฐ๊ฐ„๋„ ๊ธธ ์—ˆ์œผ๋ฉฐ ์‹ฌ๊ธฐ์ฆ ์ฒ™๋„, ์šฐ์šธ์ฆ ์ฒ™๋„,ํžˆ์Šคํ…Œ๋ฆฌ ์ฒ™๋„, ํŽธ์ง‘์ฆ ์ฒ™๋„, ์ •์‹ ์‡ ์•ฝ์ฆ ์ฒ™๋„, ์ •์‹ ๋ถ„ ์—ด์ฆ ์ฒ™๋„ ๋ฐ ์‚ฌํšŒ์  ๋‚ดํ–ฅ์„ฑ ์ฒ™๋„์˜ T-์ ์ˆ˜๊ฐ€ ์œ ์˜ํ•˜๊ฒŒ ๋†’์•˜๋‹ค(P<0.01). ์ด์ƒ์˜ ๊ฒฐ๊ณผ๋กœ ๋ณด์•„ ์š”ํ†ต์˜ ํฌ๊ด„์  ์žฌํ™œ ์น˜๋ฃŒ์— ์žˆ์–ด์„œ ๋‹ค๋ฉด์  ์ธ์„ฑ๊ฒ€์‚ฌ๋Š” ์‹ฌ๋ฆฌ์  ์š”์ธ ์— ๋Œ€ํ•œ ํ‰๊ฐ€๋ฐฉ๋ฒ•์œผ๋กœ ์œ ์šฉํ•œ ๊ฒ€์‚ฌ๋ฒ•์ด๋ผ๊ณ  ์‚ฌ๋ฃŒ๋œ๋‹ค. The Use of the Minnesota Multiphasic Personality Inventory in Comprehensive Rehabilitative Treatment of Low Back Pain Young Hee Lee Department of Medica1 Science The Graduate School, Yonsei University (Directed by Prof. Jung Soon Shin, M.D.) The MMPI(Minnesota Multiphasic Personality Inventory) has been used frequently in evaluating psychological factors which play an important role in determining the nature and course of low back pain, and for comparison with clinical findings. In this study the MMPI was applied to 79 patients who were admitted due to organic low back pain and 35 control subjects. Results of the MMPI were analyzed and compared with partient๏ผ‡s general characteristics, clinical findings and treament results. The major results are as follows : 1. Mean T-score of hypochondriasis (Hs) scale, depression (D) scale and hysteria (Hy) scale of MMPI were 59.7, 55.9 and 59.6 respectively, which were significantly higher than that of control group (p<0.01). 2. For the chronic patients whose symptoms had been present for 6 months or longer, the mean T-score of hypochondriasis scale, depression scale and hysteria scale of MMPI were significantly higher than that of the acute patients whose symptoms had been present for less than 6 months (p<0.01). 3. At the time of discharge, 74.7% of all patients showed favorable results and 95% showed symptomatic improvement. There was significant correlation between treatment results and each of the hypochondriasis, depression and hysteria scales of MMPI (p<0.01). 4. The average hospital stay was 23.6 days. There was no significant correlation between hospital days and the T-scores of the neurotic triad. 5. Characteristics of the 3 litigation cased in the patient group were studied which revealed generally unfavorable treatment results, longer hospital days and higher T-scores of hypochondriasis, depression, hysteria, paranoia, psychasthenia, schizophrenia and social introversion scales. According to the above results, MMPI is considered as a useful test in evaluating psychological factors in comprehensive rehabilitative treatment of low back pain.restrictio

    (The) relationship between job satisfaction and burnout experience among preceptors in hospital.

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    ๊ฐ„ํ˜ธํ•™๊ต์œก ์ „๊ณต/์„์‚ฌ[ํ•œ๊ธ€] ์ตœ๊ทผ ์˜๋ฃŒ์†Œ๋น„์ž๋“ค์˜ ๊ถŒ๋ฆฌ ์˜์‹์ด ๊ธ‰๊ฒฉํžˆ ๊ณ ์กฐ๋˜๊ณ  ์žˆ๊ณ  ์˜๋ฃŒ๋น„์˜ ํšจ๊ณผ์„ฑ์— ๋Œ€ํ•œ ๊ด€์‹ฌ์ด ์ฆ๊ฐ€ํ•˜๋ฉด์„œ ๋ณ‘์›๋“ค์€ ์˜์•ฝ๋ถ„์—…, ์˜๋ฃŒ๊ฐœ๋ฐฉ, DRG๋„์ž… ๋“ฑ์˜ ๋งŽ์€ ์™ธ์ ์ธ ๋ณ€ํ™”๋ฅผ ๊ฒช์œผ๋ฉฐ ์ƒ์กด์„ ์œ„ํ•œ ๊ฒฝ์Ÿ๋ ฅ ํ™•๋ณด์— ํž˜์„ ๊ธฐ์šธ์ด๊ณ  ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฝ์Ÿ๋ ฅํ™•๋ณด์˜ ํšจ๊ณผ์ ์ธ ๋ฐฉ์•ˆ ์ค‘ ํ•˜๋‚˜๋กœ ์ธ์ ์ž์› ๊ด€๋ฆฌ๊ฐ€ ๋Œ€๋‘๋˜๊ณ  ๋ณ‘์›์กฐ์ง์—์„œ ๊ฐ€์žฅ ๋งŽ์€ ์ „๋ฌธ์ธ๋ ฅ์„ ๊ตฌ์„ฑํ•˜๊ณ  ์žˆ๋Š” ๊ฐ„ํ˜ธ์ธ๋ ฅ์— ๋Œ€ํ•œ ๊ด€์‹ฌ์ด ๋†’์•„์ง์œผ๋กœ ๊ฐ„ํ˜ธ์ธ๋ ฅ์˜ ์ฒด๊ณ„์ ์ธ ๊ด€๋ฆฌ์™€ ๋”๋ถˆ์–ด ๊ต์œกํ”„๋กœ๊ทธ๋žจ์ด ์š”๊ตฌ๋˜์—ˆ๊ณ  ์ด์— ๊ฐ„ํ˜ธ๋‹จ์œ„์—์„œ Preceptor๋ฅผ ์ด์šฉํ•œ ์‹ค๋ฌด์œ„์ฃผ์˜ 1:1 ๊ต์œก๋ฐฉ๋ฒ•์„ ํ†ตํ•ด ๋ณด๋‹ค ์นœ๋ฐ€ํ•œ ๊ด€๊ณ„ ์†์—์„œ ์˜ค๋ฆฌ์—”ํ…Œ์ด์…˜์„ ์‹œํ–‰ํ•˜๋Š” ์ƒˆ๋กœ์šด ๋ฐฉ๋ฒ•์œผ๋กœ Preceptorship์ด ๋„์ž…๋˜์—ˆ๋‹ค. ํ•˜์ง€๋งŒ ๊ตญ๋‚ด์— ๋„์ž…๋œ ํ›„ ์•„์ง๊นŒ์ง€ ๋งŽ์€ ๋ณ‘์›์—์„œ ํ™œ์šฉ๋˜์ง€ ๋ชปํ•˜๊ณ  ์žˆ๊ณ  ๋งŽ์€ ์—ฐ๊ตฌ๋“ค์ด ์ผ๋ถ€ ์‹œํ–‰๋ณ‘์›์„ ์œ„์ฃผ๋กœ ์—ฐ๊ตฌ์˜ ๋ฒ”์œ„๊ฐ€ ๊ตญํ•œ๋˜์–ด์™”๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ๋Š” Preceptor์˜ ์ง๋ฌด๋งŒ์กฑ์ •๋„์™€ ์†Œ์ง„๊ฒฝํ—˜์ •๋„๋ฅผ ํŒŒ์•…ํ•˜์—ฌ ์ด๋“ค์˜ ๊ด€๊ณ„๋ฅผ ๊ทœ๋ช…ํ•จ์œผ๋กœ์จ Preceptorship์˜ ํ™œ๋ฐœํ•œ ์šด์˜๊ณผ ํšจ์œจ์  ๊ด€๋ฆฌ์— ํ•„์š”ํ•œ ๊ธฐ์ดˆ์ž๋ฃŒ๋กœ ํ™œ์šฉํ•˜๊ณ ์ž ์‹œ๋„ํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” Preceptor์˜ ์ง๋ฌด๋งŒ์กฑ๋„์™€ ์†Œ์ง„๊ฒฝํ—˜์ •๋„๋ฅผ ํŒŒ์•…ํ•˜๊ธฐ ์œ„ํ•œ ์„œ์ˆ ์  ์กฐ์‚ฌ์—ฐ๊ตฌ์ด๋‹ค. ์ด๋ฅผ ์œ„ํ•ด 2002๋…„ 3์›” 18์ผ๋ถ€ํ„ฐ 4์›” 12์ผ๊นŒ์ง€ Preceptorship์„ ์‹œํ–‰ํ•˜๋Š” 6๊ฐœ์˜ ๋Œ€ํ•™๋ณ‘์›์—์„œ Preceptor 112๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ๊ตฌ์กฐํ™”๋œ ์„ค๋ฌธ์ง€๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์ž๋ฃŒ๋ฅผ ์ˆ˜์ง‘ํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ์— ์‚ฌ์šฉ๋œ ๋„๊ตฌ๋Š” Slavitt(1978)์˜ ์ง๋ฌด๋งŒ์กฑ์ธก์ •๋„๊ตฌ์™€ Pines(1981) ๋“ฑ์˜ ์†Œ์ง„๊ฒฝํ—˜์ธก์ •๋„๊ตฌ๋ฅผ Preceptorship์— ๊ด€ํ•œ ๋ฌธํ—Œ๊ณ ์ฐฐ ๊ธฐ๋ฐ˜์œผ๋กœ ์—ฐ๊ตฌ์ž์— ์˜ํ•ด ์ˆ˜์ • ๋ณด์™„๋œ ์„ค๋ฌธ์ง€๋ฅผ ์‚ฌ์šฉํ•˜์˜€๋‹ค. ์ง๋ฌด๋งŒ์กฑ์ธก์ •๋„๊ตฌ(Cronbachโ€™s ฮฑ=.8455)๋Š” ๋ณด์ˆ˜, ์ž์œจ์„ฑ, ์—…๋ฌด์š”๊ตฌ, ์กฐ์ง์š”๊ตฌ, ์ƒํ˜ธ์ž‘์šฉ, ์ „๋ฌธ์ง ๋“ฑ์˜ 6๊ฐœ ์˜์—ญ, 30๋ฌธํ•ญ์œผ๋กœ ์†Œ์ง„๊ฒฝํ—˜์ธก์ •๋„๊ตฌ (Cronbachโ€™s ฮฑ=.9191)๋Š” ์‹ ์ฒด์ , ์ •์„œ์ , ์ •์‹ ์ , 3๊ฐœ ์˜์—ญ 21๊ฐœ ๋ฌธํ•ญ์œผ๋กœ ๊ตฌ์„ฑํ•˜์˜€๋‹ค. ์ž๋ฃŒ๋ถ„์„์€ SPSS WIN(Ver10.0)์„ ์ด์šฉํ•˜์—ฌ ์—ฐ๊ตฌ๋ชฉ์ ์— ๋”ฐ๋ผ ํ‰๊ท ๊ณผ ํ‘œ์ค€ํŽธ์ฐจ, t-test์™€ ANOVA, Pearsonโ€™s Correlation, ๋‹จ๊ณ„์  ๋‹ค์ค‘ํšŒ๊ท€๋ถ„์„์œผ๋กœ ๋ถ„์„ํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋ฅผ ์š”์•ฝํ•˜๋ฉด ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. 1. Preceptor์˜ ์ง๋ฌด๋งŒ์กฑ๋„๋Š” ํ‰๊ท  ํ‰์  5์  ๋งŒ์ ์— 3.14์ ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ํ•˜๋ถ€์˜์—ญ์œผ๋กœ ๋ณด์ˆ˜, ์ž์œจ์„ฑ, ์—…๋ฌด์š”๊ตฌ, ์ƒํ˜ธ์ž‘์šฉ, ์กฐ์ง์š”๊ตฌ, ์ „๋ฌธ์ง ๋“ฑ์˜ 6๊ฐœ ์˜์—ญ์„ ์ธก์ •ํ•˜์˜€๊ณ  ์ž์œจ์„ฑ์˜์—ญ์ด 3.66์ ์œผ๋กœ ๊ฐ€์žฅ ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๊ณ  ๋ณด์ˆ˜์˜์—ญ์ด 2.69์ ์œผ๋กœ ๊ฐ€์žฅ ๋‚ฎ๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. Preceptor์˜ ์†Œ์ง„๊ฒฝํ—˜์ •๋„๋Š” ํ‰๊ท  ํ‰์  5์  ๋งŒ์ ์— 2.65์ ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๊ณ  ์˜์—ญ๋ณ„๋กœ๋Š” ์‹ ์ฒด์  ํƒˆ์ง„์ด 2.94์ ์œผ๋กœ ๊ฐ€์žฅ ๋†’๊ณ , ์ •์‹ ์  ํƒˆ์ง„์ด 2.44์ ์œผ๋กœ ๋‚ฎ์•˜๋‹ค. 2. ์ผ๋ฐ˜์  ํŠน์„ฑ์— ๋”ฐ๋ฅธ ์ง๋ฌด๋งŒ์กฑ๋„์™€ ์†Œ์ง„๊ฒฝํ—˜์ •๋„์™€์˜ ๊ด€๊ณ„์—์„œ๋Š” ์ด ๊ทผ๋ฌด๊ฒฝ๋ ฅ(F=3.656, P=.029)๊ณผ Preceptor ์—ญํ• ๋งŒ์กฑ์ •๋„(F=8.471,P=.000), Preceptor ์—ญํ• ์ง€์†์˜์ง€(t=3.272,P=.002)๊ฐ€ ์ง๋ฌด๋งŒ์กฑ๋„์™€ ์œ ์˜ํ•œ ๊ด€๊ณ„๊ฐ€ ์žˆ์—ˆ๊ณ , Preceptor ์—ญํ•  ๋งŒ์กฑ์ •๋„(F=17.629, P=.000), Preceptor ์—ญํ• ์ง€์†์˜์ง€(t=-6.137, P=.000), Preceptor ์—…๋ฌด๋Ÿ‰ (F=5.3, P=.023) ๋“ฑ์ด ์†Œ์ง„๊ฒฝํ—˜์ •๋„์™€ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ๊ด€๊ณ„๊ฐ€ ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. 3. Preceptor์˜ ์ง๋ฌด๋งŒ์กฑ๋„์™€ ์†Œ์ง„๊ฒฝํ—˜์ •๋„์™€์˜ ์ƒ๊ด€๊ด€๊ณ„๋Š” ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์—ญ ์ƒ๊ด€๊ด€๊ณ„(r=-.571, P=.000)๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. 4. Preceptor์˜ ์†Œ์ง„์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์ฃผ์š” ์˜ˆ์ธก์š”์ธ ๋ถ„์„๊ฒฐ๊ณผ๋Š” Preceptor์˜ ์ง๋ฌด๋งŒ์กฑ๋„๊ฐ€ ์†Œ์ง„์— ๋Œ€ํ•ด 32.7%์˜ ์„ค๋ช…๋ ฅ์„ ๋ณด์˜€๊ณ  ์—ญํ• ์ง€์†์˜์ง€, ์—ญํ•  ๋งŒ์กฑ์ •๋„๋ฅผ ํฌํ•จ์‹œํ‚ค๋ฉด ์ „์ฒด ์„ค๋ช…๋ ฅ์€ ์ด 52.0%์ธ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด์ƒ์˜ ์—ฐ๊ตฌ๊ฒฐ๊ณผ์—์„œ Preceptorship์„ ํ†ตํ•œ ์ง€์‹๊ณผ ์‹ ๊ทœ๊ฐ„ํ˜ธ์‚ฌ๋ฅผ ์ง์ ‘ ํ˜„์žฅ๊ต์œก ์‹œํ‚จ ๊ฒฝํ—˜์ด ๊ฐœ์ธ์  ์ž๊ธฐ์„ฑ์žฅ์„ ์ž๊ทนํ•˜๊ณ  ์กฐ์ง๊ตฌ์„ฑ์›์œผ๋กœ์„œ์˜ ๋Šฅ๋ ฅ๊ฐœ๋ฐœ ํšจ๊ณผ๋ฅผ ์ œ๊ณตํ•˜๊ธฐ๋Š” ํ•˜์ง€๋งŒ ๋ฐ˜๋ณต๋˜๋Š” ๊ณผ์ค‘ํ•œ ์—…๋ฌด๋Ÿ‰์˜ ์ฆ๊ฐ€๊ฐ€ ์†Œ์ง„๊ฒฝํ—˜์„ ์ฆ๊ฐ€์‹œํ‚ฌ ์ˆ˜ ์žˆ์Œ์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ Preceptor์˜ ์†Œ์ง„์„ ๊ฐ์†Œ์‹œํ‚ค๊ณ  ์ง๋ฌด๋งŒ์กฑ์„ ๋†’์—ฌ์ฃผ๋Š” Preceptor๋“ค์˜ ์—…๋ฌด์ˆ˜ํ–‰์— ๋Œ€ํ•œ ์ ์ ˆํ•œ ๋ณด์ƒ๊ณผ Preceptor๊ฐ€ ์ž์‹ ์˜ ์—ญํ• ์„ ์ถฉ์‹คํžˆ ์ดํ–‰ํ•จ์œผ๋กœ์จ ์งˆ์ ์ธ ๊ฐ„ํ˜ธ์™€ ์‹ ๊ทœ๊ฐ„ํ˜ธ์‚ฌ ๊ต์œก์„ ํšจ๊ณผ์ ์œผ๋กœ ์ˆ˜ํ–‰ํ•  ์ˆ˜ ์žˆ๋Š” ๊ตฌ์ฒด์ ์ธ ํ”„๋กœ๊ทธ๋žจ์ด ํ•„์š”ํ•˜๋‹ค๊ณ  ํ•˜๊ฒ ๋‹ค. [์˜๋ฌธ] The purpose of this study was to describe preceptor''s job satisfaction and the level of burnout experience and to provide the baseline data for the active operation and efficient management of preceptorship. The sample size for the study was 112 subjects from six university hospitals that have preceptorship. The data were collected using a structured questionnaire from March 18 to April 12. 2002. The data were analyzed by descriptive statistics, t-test, ANOVA, Pearson''s Correlation, and stepwise multiple regression using SPPS WIN.(Ver.10.0) The results of the study were as follows. 1. The mean score of preceptor''s job satisfaction was 3.14, with a possible range of 1-5. As for sub domains, autonomy(M= 3.66) had the highest score, and pay (M= 2.69) had the lowest. The mean score of preceptor''s burnout experience level was 2.65, with a possible range of 1-5. As for sub domains, physical exhaustion (M= 2.94) had the highest score, and mental exhaustion (M= 2.44) had the lowest. 2. Job satisfaction of the preceptors was significantly correlated with the length of clinical experience (F=3.656, P=.029), the degree of preceptor''s role satisfaction (F=8.471, P=.000), and preceptor''s willingness for role continuation (t=3.272, P=.002). The burnout experience of preceptors was significantly related with the degree of preceptor''s role satisfaction(F=17.629, P=.000), preceptor''s willingness for role continuation(t=-6.137, P=.000), and preceptor''s the workload(F=5.3,P=.023). 3. Preceptor''s job satisfaction was negatively correlated with the level of burnout experience (r=- .571, P=. 000), which is statistically significant. 4. The stepwise multiple regression indicated that the preceptor''s job satisfaction, preceptor''s the willingness for role continuation and the degree of preceptor''s role satisfaction explained 52% of burnout experience. In conclusion, the appropriate rewards for preceptors to decrease their burnout and increase job satisfaction will be needed in hospital settings. In addition, a plan for systemic preceptorship training program is needed to provide high quality nursing education for preceptees(orientees) effectively.ope

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    ์น˜์˜ํ•™๊ณผ/๋ฐ•์‚ฌ[ํ•œ๊ธ€] ํ•œ๊ตญ์ธ์˜ ์—ฐ๋ น๋ณ„ ์˜๊ตฌ์น˜ ์น˜์•„์šฐ์‹์ฆ ์–‘์ƒ์„ ์•Œ์•„๋ณด๊ณ ์ž 2000๋…„๋„ ๊ตญ๋ฏผ๊ตฌ๊ฐ•๊ฑด๊ฐ•์‹คํƒœ์กฐ์‚ฌ์— ๊ทผ๊ฑฐํ•˜์—ฌ ์˜๊ตฌ์น˜ ์น˜์•„์šฐ์‹์ฆ ์ƒํƒœ์— ๋Œ€ํ•œ ๋ถ„์„์„ ์‹œํ–‰ํ•˜์˜€๋‹ค. ์˜๊ตฌ์น˜๊ฐ€ ๋งน์ถœํ•˜๊ธฐ ์‹œ์ž‘ํ•˜๋Š” ์‹œ๊ธฐ์ธ 6์„ธ ์ด์ƒ๋งŒ์„ ์—ฐ๊ตฌ๋Œ€์ƒ์œผ๋กœ ์„ ์ •ํ•˜์—ฌ ์—ฐ๋ น๋ณ„ DMFT ๋ถ„ํฌ, DMFT index์™€ SiC index, ์น˜์—ด ๋‚ด ์น˜์•„์ข…๋ฅ˜๋ณ„ ์šฐ์‹์œ ๋ณ‘๋ฅ ๊ณผ ์ œ1๋Œ€๊ตฌ์น˜์—์„œ ์น˜๋ฉด๋ณ„ ์šฐ์‹์ฆ ์ƒํƒœ์— ๋Œ€ํ•ด ์กฐ์‚ฌํ•˜์—ฌ ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๊ฒฐ๊ณผ๋ฅผ ์–ป์—ˆ๋‹ค.1. ์น˜์•„์šฐ์‹์ฆ์€ ๋ชจ๋“  ์—ฐ๋ น์—์„œ ์ •๊ทœ๋ถ„ํฌํ•˜์ง€ ์•Š์•˜์œผ๋ฉฐ ์šฐ์‹๋ณ‘์†Œ์˜ ๋Œ€๋ถ€๋ถ„์„ ์ฐจ์ง€ํ•˜๋Š” ์†Œ์ˆ˜์˜ ์ง‘๋‹จ, ์ฆ‰ ์น˜์•„์šฐ์‹์ฆ ๊ณ ์œ„ํ—˜๊ตฐ์ด ์กด์žฌํ•จ์„ ํ™•์ธํ•˜์˜€๊ณ , ์šฐ์‹์œ ๋ณ‘๋ฅ ์ด ํ•œ์ชฝ์œผ๋กœ ์น˜์šฐ์นœ ๋ถ„ํฌ ์–‘์ƒ(rightly skewed distribution)์„ ๋‚˜ํƒ€๋‚ด์—ˆ์œผ๋ฉฐ, ์ด๋Ÿฌํ•œ ํŽธํ–ฅ์„ฑ(skewness)์€ ์—ฐ๋ น์ด ๋‚ฎ์•„์งˆ์ˆ˜๋ก ๋‘๋“œ๋Ÿฌ์กŒ๋‹ค. 2. 12์„ธ ์•„๋™์˜ DMFT index๋Š” 2.86, SiC index๋Š” 6.14๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค..3. SiC index๋Š” DMFT index๋ณด๋‹ค ์•ฝ 1.4๏ฝž3.0๋ฐฐ ๋†’์•˜๋‹ค.4. ์„ฑ๋ณ„ ๋ถ„์„์—์„œ DMFT index๋Š” ๋ชจ๋“  ์—ฐ๋ น์—์„œ ๋‚จ์ž๋ณด๋‹ค ์—ฌ์ž๊ฐ€ ๋†’์•˜๊ณ (p<0.01), SiC index๋Š” 6-8์„ธ, 10-13์„ธ์—์„œ ๋‚จ์ž๋ณด๋‹ค ์—ฌ์ž๊ฐ€ ๋†’์•˜๋‹ค(p<0.05). 5. ์ง€์—ญ๋ณ„ ๋ถ„์„์—์„œ DMFT index๋Š” 8์„ธ, 14์„ธ์—์„œ๋Š” ๋†์ดŒ๋ณด๋‹ค ๋„์‹œ๊ฐ€, 60-69์„ธ๋Š” ๋„์‹œ๋ณด๋‹ค ๋†์ดŒ์ด ๋†’์•˜๊ณ , SiC index๋Š” 6-8์„ธ, 14์„ธ, 30-49์„ธ๋Š” ๋„์‹œ๋ณด๋‹ค ๋†์ดŒ์ด ๋†’์•˜๊ณ , 60์„ธ ์ด์ƒ์—์„œ๋Š” ๋†์ดŒ๋ณด๋‹ค ๋„์‹œ๊ฐ€ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜๊ฒŒ ๋†’์•˜๋‹ค(p<0.05). 6. DMFT index์™€ SiC index๋ฅผ ๊ตฌ์„ฑ์„ฑ๋ถ„์ธ ์šฐ์‹, ์ถฉ์ „, ์ƒ์‹ค๋กœ ๋‚˜๋ˆ„์–ด ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ 6์„ธ์—์„œ๋Š” ์šฐ์‹์ด, 7์„ธ์—์„œ 49์„ธ๊นŒ์ง€๋Š” ์ถฉ์ „์ด, 50์„ธ ์ดํ›„๋กœ๋Š” ์ƒ์‹ค์ด ๊ฐ€์žฅ ์ฃผ๋œ ๊ตฌ์„ฑ์š”์†Œ์˜€๋‹ค.7. ์น˜์—ด ๋‚ด ์น˜์•„์ข…๋ฅ˜๋ณ„ ์šฐ์‹๊ฒฝํ—˜๋ฅ ์€ ์ œ1๋Œ€๊ตฌ์น˜๊ฐ€ ๊ฐ€์žฅ ๋†’์•˜์œผ๋ฉฐ, ์ƒ์•… ์ œ1๋Œ€๊ตฌ์น˜๋ณด๋‹ค ํ•˜์•… ์ œ1๋Œ€๊ตฌ์น˜๊ฐ€ ๋” ๋†’์•˜๋‹ค.8. ์น˜๋ฉด๋ณ„ ์šฐ์‹๊ฒฝํ—˜ ๋ถ„์„์—์„œ ์ƒ์•… ์ œ1๋Œ€๊ตฌ์น˜๋Š” 6์„ธ์—์„œ 49์„ธ๊นŒ์ง€๋Š” ๊ตํ•ฉ๋ฉด, ์„ค๋ฉด, ๊ทผ์‹ฌ๋ฉด, ์›์‹ฌ๋ฉด, ํ˜‘๋ฉด ์ˆœ์œผ๋กœ 50์„ธ ์ดํ›„๋กœ๋Š” ๊ตํ•ฉ๋ฉด, ๊ทผ์‹ฌ๋ฉด, ์›์‹ฌ๋ฉด, ์„ค๋ฉด, ํ˜‘๋ฉด ์ˆœ์œผ๋กœ, ํ•˜์•… ์ œ1๋Œ€๊ตฌ์น˜๋Š” 6์„ธ์—์„œ 29์„ธ๊นŒ์ง€๋Š” ๊ตํ•ฉ๋ฉด, ํ˜‘๋ฉด, ๊ทผ์‹ฌ๋ฉด, ์›์‹ฌ๋ฉด, ์„ค๋ฉด ์ˆœ์œผ๋กœ 30์„ธ ์ดํ›„๋กœ๋Š” ๊ตํ•ฉ๋ฉด, ํ˜‘๋ฉด, ์›์‹ฌ๋ฉด, ๊ทผ์‹ฌ๋ฉด, ์„ค๋ฉด ์ˆœ์œผ๋กœ ์šฐ์‹ ๋ฐ ์ถฉ์ „์ด ๋งŽ์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ์šฐ์‹ ๋ฐ ์ถฉ์ „์— ๊ฐ€์žฅ ๋งŽ์ด ์ดํ™˜๋œ ์น˜๋ฉด์ด ๊ตํ•ฉ๋ฉด์ด์—ˆ๋‹ค. 9. ์ œ1๋Œ€๊ตฌ์น˜๋ฅผ ์ƒ์‹คํ•˜๊ฒŒ ๋˜๋Š” ๊ฐ€์žฅ ์ฃผ๋œ ์›์ธ์€ ์šฐ์‹์ด์—ˆ๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ SiC index๋Š” ์šฐ์‹๊ฒฝํ—˜์„ ๋‚˜ํƒ€๋‚ด๋Š” ์ƒˆ๋กœ์šด ์ง€์ˆ˜๋กœ ์ด์šฉ๋  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์ด ์ƒˆ๋กœ์šด ์ง€์ˆ˜๋กœ ์น˜์•„์šฐ์‹์ฆ ๊ณ ์œ„ํ—˜๊ตฐ์— ๋Œ€ํ•œ ์ž๋ฃŒ๋ฅผ ํ™•๋ณดํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋ผ ์‚ฌ๋ฃŒ๋œ๋‹ค. ๋˜ํ•œ ๊ณต์ค‘๊ตฌ๊ฐ•๋ณด๊ฑด ์ •์ฑ…์„ ๊ธฐํšํ•˜๊ณ  ์‹คํ–‰ํ•จ์— ์žˆ์–ด ๊ณ ์œ„ํ—˜๊ตฐ ์ง‘์ค‘๊ด€๋ฆฌ๋ฒ•์œผ๋กœ ์˜ˆ๋ฐฉ ์ „๋žต์˜ ์ „ํ™˜์ด ์š”๊ตฌ๋  ๊ฒƒ์ด๊ณ  ์—ฌ๊ธฐ์„œ SiC index๊ฐ€ ์œ ์šฉํ•  ๊ฒƒ์ด๋ฉฐ, ๋”๋ถˆ์–ด SiC index๋Š” ๊ตฌ๊ฐ•๋ณด๊ฑด์„ ์œ„ํ•œ ์ƒˆ๋กœ์šด ๋ชฉํ‘œ ์„ค์ •์—๋„ ์ด์šฉ๋  ์ˆ˜ ์žˆ์Œ์„ ์‹œ์‚ฌํ•˜๊ณ  ์žˆ๋‹ค. [์˜๋ฌธ] A population-based epidemiologic survey about dental caries status of permanent teeth was conducted over 6 years old Korean people who were selected through a random sampling method. The purpose of this study was to assess the current status of caries distribution, the DMFT index, the SiC index, and tooth and surface pattern of dental caries by age. The results are as follows; 1. A detailed analysis of the caries prevelance showed skewed distribution of the disease: at specific age, a subgroup had high or very high DMFT values, while the rest of the population showed low DMFT or were totally caries-free. Therefore, expressing caries prevalence as the mean DMFT value does not correctly reflect the skewed distribution, leaving high caries groups to remain undiscovered in the population. 2. The DMFT index of the 12-year-olds was 2.86 and the Sic index was 6.14. 3. The study showed almost an linear relation between the mean DMFT values and the SiC index. The SiC index increased (decreased) by around 3 DMFT units when the mean DMFT included in this study increased (decreased) by around 2 units. 4. Females experienced more caries than males(p<0.01). The SiC index in females was higher than in males at the age of 6-8 and 10-13 years(p<0.05). 5. The DMFT index in urban areas was higher than in rural areas at the age of 8 and 14 years, and vice versa at the age of 60-69 years. The SiC index in rural areas was higher than in urban areas at the age of 6-8, 14, and 30-49 years, and vice versa at the age over 60 years.6. D(Decayed) was the major component of the DMFT index by 6 years old children in Korea. F(Filled) was the major component of the DMFT index in Korean population aged 7-49 years. M(Missing) was the major component of the DMFT index in Korean population aged over 50 years. 7. Caries prevalence rate of the first permanent teeth was the most highest of all tooth types. Caries prevalence rate of the lower first permanent molar was more higher than the upper first permanent molar.8. Occlusal surfaces were the most common site for caries in first permanent molars. In upper first permanent molars, the order of caries susceptible surface sites was occlusal, palatal, mesial, distal, and buccal surfaces at the age of 6-49 years and the order was occlusal, mesial, distal, palatal, and buccal surfaces at the age over 50 years. In lower first permanent molars, the order of caries susceptible surface sites was occlusal, buccal, mesial, distal, and lingual surfaces at the age of 6-29 years and the order was occlusal, buccal, distal, mesial, and lingual surfaces at the age over 30 years.9. The major reason for missing of first permanent teeth was caries. Based on the results, the caries prevelance shows skewed distribution of the disease and there was a high caries risk group. Caries prevalence rate of the first permanent teeth was the most highest of all tooth types and occlusal surfaces were the most common site for caries in first permanent molars. The newope

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