14 research outputs found

    (A)Study on the relationships between health perception, health locus of control and compliance towards their recommended treatments in essential hy

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    ๊ฐ„ํ˜ธํ•™๊ณผ/์„์‚ฌ[ํ•œ๊ธ€] ๋ณธ ์—ฐ๊ตฌ๋Š” ๋ณธํƒœ์„ฑ๊ณ ํ˜ˆ์••ํ™˜์ž๋ฅผ ๋Œ€์ƒ์œผ๋กœ ์ž„์ƒํ˜„์žฅ์—์„œ ํ”ํžˆ ๋ถ€๋”ชํžˆ๋Š” ๋น„์ดํ–‰์ž๋ฅผ ๊ณ„์†์ ์ธ ์น˜๋ฃŒ์ดํ–‰์„ ํ•  ์ˆ˜ ์žˆ๋„๋ก ๋•๊ธฐ ์œ„ํ•œ ๊ฐ„ํ˜ธ๊ณ„ํš์„ ์„ธ์šฐ๋Š”๋ฐ ๊ธฐ์ดˆ์ž๋ฃŒ๋ฅผ ์ œ๊ณตํ•˜๊ณ ์ž ๊ฑด๊ฐ•๊ณผ ๊ด€๋ จ๋œ ๋ณ€ํ™”๊ฐ€๋Šฅํ•œ ๋ณ€์ˆ˜์ธ ๊ฑด๊ฐ•์ง€๊ฐ ๋ฐ ๊ฑด๊ฐ•ํ†ต์ œ์œ„์„ฑ๊ฒฉ๊ณผ ์น˜๋ฃŒ์ดํ–‰๊ณผ์˜ ๊ด€๊ณ„๋ฅผ ๊ทœ๋ช…ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์‹œ๋„๋œ ์„œ์ˆ ์  ์ƒ๊ด€๊ด€๊ณ„ ์—ฐ๊ตฌ์ด๋‹ค. ๊ฑด๊ฐ•์‹ ๋…๋ชจ๋ธ์ด ๊ทผ๊ฐ„์„ ์ด๋ฃจ๋Š” ์ด๋ก ์  ๋ฐฐ๊ฒฝ์œผ๋กœ ์„ ํƒํ•˜์˜€๊ณ  ์—ฐ๊ตฌ์˜ ๋Œ€์ƒ์ž๋กœ๋Š” ๋ณธ ์—ฐ๊ตฌ์ž๊ฐ€ ์ž„์˜๋กœ ์„ ์ •ํ•œ 2๊ฐœ ์„œ์šธY๋Œ€ ๋ถ€์†๋ณ‘์› (์‹ ์ดŒ, ์˜๋™) ๋‚ด๊ณผ ์™ธ๋ž˜์— ๋‚ด์›ํ•œ ๋ณธํƒœ์„ฑ๊ณ ํ˜ˆ์••ํ™˜์ž๋ฅผ ๋ชจ์ง‘๋‹จ์œผ๋กœ ํ•˜์—ฌ ์„ ์ •๊ธฐ์ค€์— ์˜ํ•ด ์œ ์˜ํ‘œ์ถœํ•œ 96๋ช…์„ ๋Œ€์ƒ์ž๋กœ ํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ๋„๊ตฌ๋กœ๋Š” ๋…๋ฆฝ๋ณ€์ˆ˜๋ฅผ ์ธก์ •ํ•˜๊ธฐ ์œ„ํ•ด Ware์˜ ๊ฑด๊ฐ•์ง€๊ฐ์งˆ๋ฌธ์ง€์˜ ์ผ๋ถ€๋ฌธํ•ญ๊ณผ Wallston๊ณผ Wallston์ด ๊ฐœ๋ฐœํ•œ ๋‹ค์ฐจ์› ๊ฑด๊ฐ•ํ†ต์ œ์œ„ ์„ฑ๊ฒฉ์ฒ™๋„๋ฅผ ์‚ฌ์šฉํ•˜์˜€๊ณ , ์ข…์†๋ณ€์ˆ˜๋ฅผ ์ธก์ •ํ•˜๊ธฐ ์œ„ํ•ด Miller๊ฐ€ ๊ฐœ๋ฐœํ•œ ๊ฑด๊ฐ•์œ„์ฒ™๋„๋ฅผ ๋ณธ ์—ฐ๊ตฌ์ž๊ฐ€ ๊ด€๊ณ„๋ฌธํ—Œ์„ ์ฐธ๊ณ ๋กœ ํ•˜์—ฌ ์ˆ˜์ •๋ณด์™„ํ•˜์—ฌ ๋งŒ๋“  ์น˜๋ฃŒ์ดํ–‰์ฒ™๋„๋ฅผ ์‚ฌ์šฉํ•˜์˜€๋‹ค. ์ž๋ฃŒ์ˆ˜์ง‘๊ธฐ๊ฐ„์€ 1985๋…„ 10์›” 28์ผ๋ถ€ํ„ฐ 1985๋…„ 11์›” 4์ผ๊นŒ์ง€ ์ผ์š”์ผ์„ ์ œ์™ธํ•œ ์ด 7์ผ๊ฐ„์ด์—ˆ๋‹ค. ์ž๋ฃŒ๋ถ„์„์„ ์œ„ํ•ด ์ผ๋ฐ˜์  ํŠน์„ฑ์€ ์‹ค์ˆ˜์™€ ๋ฐฑ๋ถ„์œจ์„ ๊ตฌํ•˜์˜€๊ณ  ์น˜๋ฃŒ์ดํ–‰๊ณผ์˜ ์œ ์˜์„ฑ๊ฒ€์ •์„ ์œ„ํ•ด t-test ์™€ ANOVA๋ฅผ ์‚ฌ์šฉํ•˜์˜€๋‹ค. ๊ฑด๊ฐ•์ง€๊ฐ๊ณผ ๋‹ค์ฐจ์›๊ฑด๊ฐ•ํ†ต์ œ์œ„์„ฑ๊ฒฉ์ฒ™๋„์˜ ์ œ๋ณ€์ˆ˜๊ฐ„์˜ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ํŒŒ์•…ํ•˜๊ธฐ ์œ„ํ•ด Pearson Correlation Coefficient๋ฅผ ์‚ฌ์šฉํ•˜์˜€์œผ๋ฉฐ ์น˜๋ฃŒ์ดํ–‰์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๋ณ€์ˆ˜๋ฅผ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•ด Stepwise Multiple Regresion์„ ์‚ฌ์šฉํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. 1. ๊ฐ€์„ค๊ฒ€์ •์—์„œ, ์ œ1๊ฐ€์„ค : "๋ณธํƒœ์„ฑ๊ณ ํ˜ˆ์••ํ™˜์ž์˜ ๊ฑด๊ฐ•๊ด€์‹ฌ์ ์ˆ˜๊ฐ€ ๋†’์„์ˆ˜๋ก ์น˜๋ฃŒ์ดํ–‰์„ ์ž˜ ํ•  ๊ฒƒ์ด๋‹ค."๋Š” ์ง€์ง€๋˜์—ˆ๋‹ค. ( r= .2513, P= .007 ) ์ œ2๊ฐ€์„ค : "๋ณธํƒœ์„ฑ๊ณ ํ˜ˆ์••ํ™˜์ž์˜ ๋ฏผ๊ฐ์„ฑ์ ์ˆ˜๊ฐ€ ๋†’์„์ˆ˜๋ก ์น˜๋ฃŒ์ดํ–‰์„ ์ž˜ ํ•  ๊ฒƒ์ด๋‹ค."๋Š” ์ง€์ง€๋˜์—ˆ๋‹ค. ( r= .2860, P= .002 ) ์ œ3๊ฐ€์„ค : "๋ณธํƒœ์„ฑ๊ณ ํ˜ˆ์••ํ™˜์ž์˜ ํ™˜์ž์—ญํ•  ๊ฑฐ๋ถ€์ ์ˆ˜๊ฐ€ ๋‚ฎ์„์ˆ˜๋ก ์น˜๋ฃŒ์ดํ–‰์„ ์ž˜ ํ•  ๊ฒƒ์ด๋‹ค."๋Š” ์ง€์ง€๋˜์—ˆ๋‹ค. ( r= -.3044, P= .001 ) ์ œ4๊ฐ€์„ค : "๋ณธํƒœ์„ฑ๊ณ ํ˜ˆ์••ํ™˜์ž์˜ ๋‚ด์ ๊ฑด๊ฐ•ํ†ต์ œ์œ„ ์„ฑ๊ฒฉ์˜ ์ ์ˆ˜๊ฐ€ ๋†’์„์ˆ˜๋ก ์น˜๋ฃŒ์ดํ–‰์„ ์ž˜ ํ•  ๊ฒƒ์ด๋‹ค."๋Š” ์ง€์ง€๋˜์—ˆ๋‹ค. ( r= .5185, P= .001 ) ์ œ5๊ฐ€์„ค : "๋ณธํƒœ์„ฑ๊ณ ํ˜ˆ์••ํ™˜์ž์˜ ์šฐ์—ฐ์„ฑ๊ฑด๊ฐ•ํ†ต์ œ์œ„์„ฑ๊ฒฉ์˜ ์ ์ˆ˜๊ฐ€ ๋‚ฎ์„์ˆ˜๋ก ์น˜๋ฃŒ์ดํ–‰์„ ์ž˜ ํ•  ๊ฒƒ์ด๋‹ค."๋Š” ์ง€์ง€๋˜์—ˆ๋‹ค. ( r= -.4388, P= .001 ) 2. ์ผ๋ฐ˜์  ํŠน์„ฑ๊ณผ ์น˜๋ฃŒ์ดํ–‰์—์„œ ์ง์—…์ด ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋ณด์˜€๋Š”๋ฐ, ์ฃผ๋ถ€์™€ ํšŒ์‚ฌ์›, ๊ณต๋ฌด์›, ๊ต์ง์ž๊ฐ€ ์น˜๋ฃŒ์ดํ–‰์ •๋„๊ฐ€ ๋‚ฎ์€ ํŽธ์ด์—ˆ๋‹ค. 3. ์น˜๋ฃŒ์ดํ–‰์— ์˜ํ–ฅ์„ ์ฃผ๋Š” ์ฃผ์š”์ธ์„ ๋‹จ๊ณ„๋ณ„ ํฌ๊ท€๋ถ„์„์œผ๋กœ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ "๋‚ด์ ๊ฑด๊ฐ•ํ†ต์ œ์œ„"๊ฐ€ ์ตœ๊ณ  ์˜ˆ์ธก์ธ์ž๋กœ ๋‚˜ํƒ€๋‚ฌ๊ณ , ๊ทธ ๋‹ค์Œ๋‹จ๊ณ„๋กœ "์šฐ์—ฐ์„ฑ๊ฑด๊ฐ•ํ†ต์ œ์œ„", "๊ต์œก์ˆ˜์ค€", "๊ฑด๊ฐ•๊ด€์‹ฌ", "ํ™˜์ž์—ญํ• ๊ฑฐ๋ถ€", "์—ฐ"์˜ ์ˆœ์ด์—ˆ์œผ๋ฉฐ ์ด 6๊ฐœ์˜ ์ฃผ์š”๋ณ€์ˆ˜์— ์˜ํ•ด ์น˜๋ฃŒ์ดํ–‰์€ 56% ์„ค๋ช…ํ•˜๋Š” ๊ฒƒ์ด ๊ฐ€๋Šฅํ•˜์˜€๋‹ค. ์ด์ƒ์˜ ๊ฒฐ๊ณผ๋กœ ๋ณธํƒœ์„ฑ๊ณ ํ˜ˆ์••ํ™˜์ž์˜ ๊ฑด๊ฐ•์ง€์‹๊ณผ ๊ฑด๊ฐ•ํ†ต์ œ์œ„์„ฑ๊ฒฉ์ด ์น˜๋ฃŒ์ดํ–‰์— ์˜ํ–ฅ์„ ์ฃผ๋Š” ๋ณ€์ˆ˜์ž„์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ์œผ๋ฉฐ, ํ™˜์ž์˜ ๊ฑด๊ฐ•์— ๋Œ€ํ•œ ๊ด€์‹ฌ์ด ๋งŽ์„์ˆ˜๋ก, ๊ฑด๊ฐ•์— ๋Œ€ํ•ด ๋ฏผ๊ฐํ• ์ˆ˜๋ก, ํ™˜์ž์—ญํ• ์„ ์ž˜ํ• ์ˆ˜๋ก ์น˜๋ฃŒ์ดํ–‰์„ ์ž˜ํ•˜๊ณ  ์žˆ์—ˆ๊ณ , ๋‚ด์ ๊ฑด๊ฐ•ํ†ต์ œ์œ„์„ฑ๊ฒฉ๊ณผ ์šฐ์—ฐ์„ฑ๊ฑด๊ฐ•ํ†ต์ œ์œ„์„ฑ๊ฒฉ๊ฐ„์—๋Š” ์น˜๋ฃŒ์ดํ–‰์— ์ฐจ์ด๊ฐ€ ์žˆ์Œ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋”ฐ๋ผ์„œ ํ™˜์ž์™€ ๊ฐ€์žฅ ๊ฐ€๊นŒ์ด ์ ‘ํ•˜๋Š” ๊ธฐํšŒ๊ฐ€ ๋งŽ์€ ์ž„์ƒ๊ฐ„ํ˜ธ์›๋“ค์€ ๊ฐ„ํ˜ธ์‚ฌ์ •์„ ํ•  ๋•Œ ํ™˜์ž์˜ ๊ฑด๊ฐ•์ง€๊ฐ๊ณผ ์„ฑ๊ฒฉํŠน์„ฑ์„ ํŒŒ์•…ํ•˜์—ฌ ํšจ๊ณผ์ ์ธ ๊ต์œก๊ณผ ๊ฐ„ํ˜ธ๋ฅผ ๊ณ„ํšํ•  ์ˆ˜ ์žˆ์–ด์•ผ ํ•˜๊ฒ ๋‹ค. [์˜๋ฌธ] This descriptive-correlational study was undertaken in order to examine if there were relationships between health perception, health locus of control and compliance towards their recommended treatments in essential hypertension. The sampling method was non-probability, purposive sampling technique. The participants of this study were comprised of 96 volunteered adults 1) who have been diagnosed essential hypertension and 2) who were at the medical out patients clinic of two university hospitals in Seoul from Oct. 28th to Nov. 4th 1985. Each participant completed the Health Perception Questionnaire, Multidimensional Health Locus of Control Scale and Therapeutic Compliance Scale. Reliability and validity of these scales were examined by the investigator prior to data collection. Data were analysed using S.P.S.S. at computer center in Yonsei University. The Pearson Correlation Coefficient was used to test the hypothesis. Hypothesis 1, stating that the higher the score on the health concern, the higher the compliance to the recommended treatment for the essential hypertension, was supported. (r=.2513, p=.007) Hypothesis 2, stating that the higher the score of susceptibility, the higher the compliance, was supported (r=.2860, p=.002). Hypothesis 3, stating that the lower the score on sick role behavior rejection, the higher the compliance, was supported. (r=-.3044, p=.001). Hypothesis 4, stating that the higher the score of internal health locus of control, the higher the compliance was supported. (r=.5185, p=.001) Hypothesis 5, stating that the compliance, was supported. (r=-.4388, p=.001) Thus the data in this in this study demonstrated that health perception and health locus of control were related to the compliance of essential hypertensive patient. Supplementary analysis of the data indicated that there was a significant relationship between kind of job held by the respondent and compliance. (p < .01) : Housewives, teachers, salarymen and government officiers demonstrated higher level of compliance than those persons who have private business, computed by t-test and analysis of variance. Stepwise Multiple Regression was used to examine what variables would allow the most powerful predictor of compliance : internal health locus of control showed the best single predictor of compliance, followed by chance health locus of compliance, followed by chance health locus of control, educational level, health concern, sick role behavior rejection, age, respectively. These 6 main variables made it possible to explain 56% of the variance in compliance. The limitation of this study that the instruments were not standardized, sample size was small and non-probability technique was used. Therefore implications of findings for nursing practice should be conservative. However it is important and necessary to consider health perception and health locus of control of the patient in order to enhance the compliance.restrictio

    (A) study of the effect of an efficacy expectation promoting program on self-efficacy and self-care

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    ๊ฐ„ํ˜ธํ•™๊ณผ/๋ฐ•์‚ฌ[ํ•œ๊ธ€] ์ตœ๊ทผ ๊ฒฝ์ œ๋ฐœ๋‹ฌ๊ณผ ์ƒํ™œ์ˆ˜์ค€์˜ ํ–ฅ์ƒ ๋ฐ ์˜ํ•™๊ธฐ์ˆ ์˜ ๋ฐœ๋‹ฌ๋กœ ์ธ๊ฐ„์˜ ํ‰๊ท ์ˆ˜๋ช…์ด ์ฆ๊ฐ€ํ•˜๋ฉด์„œ ์งˆ๋ณ‘์˜ ์–‘์ƒ์ด ๊ฐ์—ผ์„ฑ์งˆํ™˜์—์„œ ๋งŒ์„ฑ์งˆํ™˜์œผ๋กœ ๋ณ€ํ™”ํ•˜์˜€๋‹ค. ๋งŒ์„ฑ์งˆํ™˜์ค‘ ์‚ฌ๋ง์˜ ์ฃผ๋œ ์›์ธ์งˆํ™˜์ธ ๊ณ ํ˜ˆ์••์€ ์ผ๋‹จ ๋ฐœ์ƒ๋˜๋ฉด ์™„์น˜ ๋ฐฉ๋ฒ•์ด ์—†๊ธฐ ๋•Œ๋ฌธ์— ์น˜๋ฃŒ์  ์„ญ์ƒ์„ ํ†ตํ•œ ๊ณ„์†์ ์ธ ์กฐ์ ˆ๋งŒ์ด ๊ฑด๊ฐ•์„ ์œ ์ง€ํ•  ์ˆ˜ ์žˆ๋Š” ์ตœ์„ ์˜ ๋ฐฉ๋ฒ•์ด ๋œ๋‹ค. ์ด๋Ÿฌํ•œ ๊ณ ํ˜ˆ์••ํ™˜์ž๋“ค์˜ ์น˜๋ฃŒ์  ์„ญ์ƒ ์ดํ–‰์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฐ€์žฅ ์ค‘์š”ํ•œ ์ธ์ž๋กœ ์ง€์‹์„ ๋ณด๊ณ ํ•˜๊ณ  ์žˆ์œผ๋‚˜, ์ง€์‹์„ ๋†’ํžˆ๊ธฐ ์œ„ํ•œ ์ •๋ณด ์ œ๊ณต ํ›„ ์ง€์‹๊ณผ ์ดํ–‰๊ณผ์˜ ๊ด€๊ณ„๋ฅผ ์•Œ์•„๋ณด๋Š” ์—ฐ๊ตฌ๋“ค์—์„œ ์ผ์น˜ํ•˜์ง€ ์•Š๋Š” ๊ฒฐ๊ณผ๋ฅผ ์ œ์‹œํ•˜๊ณ  ์žˆ๋‹ค. ์ž๊ธฐํšจ๋Šฅ์€ ์ง€์‹๊ณผ ํ–‰๋™์„ ์—ฐ๊ฒฐํ•˜๋Š” ๋งค๊ฐœ๋ณ€์ˆ˜๋กœ์„œ ํ–‰๋™๊ฒฐ์ •์— ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•˜๋Š” ๊ฐœ๋…์œผ๋กœ ๋ณด๊ณ ๋˜๊ณ  ์žˆ๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” Bandura์˜ ์ž๊ธฐํšจ๋Šฅ์ด๋ก ์— ๊ทผ๊ฑฐํ•˜์—ฌ ๊ฐœ๋ฐœํ•œ ํšจ๋Šฅ๊ธฐ๋Œ€์ฆ์ง„ํ”„๋กœ๊ทธ๋žจ์„ ๋ณธํƒœ์„ฑ๊ณ ํ˜ˆ์••ํ™˜์ž์—๊ฒŒ ์ œ๊ณตํ•˜์—ฌ ์ž๊ธฐํšจ๋Šฅ์ด ์ฆ๊ฐ€๋˜๋Š”์ง€, ์ž๊ฐ€๊ฐ„ํ˜ธํ–‰์œ„๊ฐ€ ์ฆ๊ฐ€๋˜๋Š”์ง€๋ฅผ ์•Œ์•„๋ณด๊ณ ์ž ๋น„๋™๋“ฑ ๋Œ€์กฐ๊ตฐ ์ „ํ›„ ์‹œ์ฐจ์„ค๊ณ„ (Nonequivalent Control Group non-Synchroniz ed Design๋กœ ์—ฐ๊ตฌํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ๋Œ€์ƒ์ž๋Š” ์„œ์šธ์‹œ๋‚ด ์ผ๊ฐœ ์ข…ํ•ฉ๋ณ‘์› ์‹ฌํ˜ˆ๊ด€์„ผํ„ฐ ์™ธ๋ž˜์—์„œ ๊ณ ํ˜ˆ์••์กฐ์ ˆ์„ ๋ฐ›๊ณ  ์žˆ๋Š” ํ™˜์ž๋ฅผ ๋Œ€์ƒ์œผ๋กœ ์œ ์˜ํ‘œ์ถœํ•œ 98๋ช…์œผ๋กœ ์‹คํ—˜๊ตฐ 47๋ช…, ๋Œ€์กฐ๊ตฐ 51๋ช…์ด์—ˆ๋‹ค. ํšจ๋Šฅ๊ธฐ๋Œ€์ฆ์ง„ํ”„๋กœ๊ทธ๋žจ์€ ํšจ๋Šฅ๊ธฐ๋Œ€๋ฅผ ์ฆ๊ฐ€์‹œํ‚ค๋Š” ์ž์›์ธ ์„ฑ์ทจ์™„์„ฑ, ๋Œ€๋ฆฌ๊ฒฝํ—˜, ์–ธ์–ด์  ์„ค๋“์— ๊ทผ๊ฑฐํ•˜์—ฌ ๋งŒ๋“ค ์–ด์ง„ Slide/Tape ํ”„๋กœ๊ทธ๋žจ๊ณผ ์ „ํ™” Coach ํ”„๋กœ๊ทธ๋žจ์œผ๋กœ Slide/Tape ํ”„๋กœ๊ทธ๋žจ์€ 1ํšŒ 20๋ถ„์— ๊ฑธ์ณ ์‹ค์‹œ๋˜์—ˆ๊ณ , ์ „ํ™” coachํ”„๋กœ๊ทธ๋žจ์€ 1์ฃผ์ผ์— 1ํšŒ 10๋ถ„๊ฐ„์”ฉ 4์ฃผ๊ฐ„์— ๊ฑธ์ณ ์ œ๊ณต๋˜์—ˆ๋‹ค. ์—ฐ๊ตฌ๋„๊ตฌ๋Š” Sherer ๋“ฑ (1982)์ด ๊ฐœ๋ฐœํ•œ ๊ฒƒ์„ Oh (1993)๊ฐ€ ๋ฒˆ์—ญํ•˜์—ฌ ์‚ฌ์šฉํ•œ ์ž๊ธฐํšจ๋Šฅ์ฒ™๋„์™€ ์ดํ–ฅ๋ จ (1985)๊ณผ ์ตœ๋ถ€์˜ฅ ๋“ฑ (1989)์ด ๊ฐœ๋ฐœํ•˜์˜€๋˜ ๊ณ ํ˜ˆ์••ํ™˜์ž ์ดํ–‰ํ–‰์œ„ ์ธก์ •๋„๊ตฌ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์—ฐ๊ตฌ์ž๊ฐ€ ๊ฐœ๋ฐœํ•œ ๊ณ ํ˜ˆ์••ํ™˜์ž์˜ ์ž๊ฐ€๊ฐ„ํ˜ธํ–‰์œ„ ์ธก์ •๋„๊ตฌ๋ฅผ ์‚ฌ์šฉํ•˜์˜€๋‹ค. ์ž๋ฃŒ์ˆ˜์ง‘๊ธฐ๊ฐ„์€ 1998๋…„ 12์›” 28์ผ๋ถ€ํ„ฐ 1974๋…„ 3์›” 4์ผ๊นŒ์ง€์˜€์œผ๋ฉฐ, ์—ฐ๊ตฌ์ ˆ์ฐจ๋Š” ๋Œ€์กฐ๊ตฐ๊ณผ ์‹คํ—˜๊ตฐ์˜ ์‚ฌ์ „์กฐ์‚ฌ๋ฅผ ์ฐจ๋ก€๋กœ ์‹ค์‹œํ•˜๊ณ  ์‹คํ—˜๊ตฐ์—๊ฒŒ๋Š” ์‚ฌ์ „์กฐ์‚ฌ์™€ ๊ฐ™์€ ๋‚ ์งœ์— Slide/Tape ํ”„๋กœ๊ทธ๋žจ์„ ์‹ค์‹œํ•˜๊ณ , 3์ผ ํ›„๋ถ€ํ„ฐ ์ „ํ™” coachํ”„๋กœ๊ทธ๋žจ์„ 4์ฃผ๊ฐ„์— ๊ฑธ์ณ 1์ฃผ์ผ์— 1ํšŒ,4ํšŒ์— ๊ฑธ์ณ ์‹ค์‹œํ•˜์˜€์œผ๋ฉฐ, ์ฒ˜์น˜๊ฐ€ ๋๋‚œ ํ›„ ์‚ฌํ›„์กฐ์‚ฌ๋ฅผ ์‹ค์‹œํ•˜์˜€๋‹ค. ์ž๋ฃŒ๋ถ„์„์€ X**2 -test t-test ๋ถ„์‚ฐ๋ถ„์„ (Analysis of Variance), ๊ณต๋ถ„์‚ฐ๋ถ„์„ (Analysis of Covariance), Pearson Product-moment Correlation, ๋‹จ๊ณ„๋ณ„ ๋‹ค์ค‘ํšŒ๊ท€๋ถ„์„ (Stepwise Multiple Regression)์„ ์ด์šฉํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ๊ฒฐ๊ณผ์˜ ์š”์•ฝ์€ ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ œ 1 ๊ฐ€์„ค: "ํšจ๋Šฅ๊ธฐ๋Œ€์ค‘์ง„ํ”„๋กœ๊ทธ๋žจ์„ ์ œ๊ณต๋ฐ›์€ ๊ตฐ์€ ์ œ๊ณต๋ฐ›์ง€ ์•Š์€ ๊ตฐ๋ณด๋‹ค ์ž๊ธฐํšจ๋Šฅ์ ์ˆ˜๊ฐ€ ๋” ๋†’์„ ๊ฒƒ์ด๋‹ค. "๋Š” ๊ณต๋ถ„์‚ฐ๋ถ„์„์— ์˜ํ•ด ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋ณด์—ฌ ์ง€์ง€๋˜์—ˆ๋‹ค (F=147r2, p= .000). ์ œ 2 ๊ฐ€์„ค: "ํšจ๋Šฅ๊ธฐ๋Œ€์ค‘์ง„ํ”„๋กœ๊ทธ๋žจ์„ ์ œ๊ณต๋ฐ›์€ ๊ตฐ์€ ์ œ๊ณต๋ฐ›์ง€ ์•Š์€ ๊ตฐ๋ณด๋‹ค ์ž๊ฐ€๊ฐ„ํ˜ธํ–‰์œ„๋ฅผ ๋” ์ž˜ํ•  ๊ฒƒ์ด๋‹ค. "๋ฅผ ์•Œ์•„๋ณด๊ธฐ ์œ„ํ•ด ๋‘๊ฐœ์˜ ๋ถ€๊ฐ€์„ค์„ ์„ค์ •ํ•˜์˜€๋‹ค. ์ œ 1 ๋ถ€๊ฐ€์„ค: "ํšจ๋Šฅ๊ธฐ๋Œ€์ค‘์ง„ํ”„๋กœ๊ทธ๋žจ์„ ์ œ๊ณต๋ฐ›์€ ๊ตฐ์€ ์ œ๊ณต๋ฐ›์ง€ ์•Š์€ ๊ตฐ๋ณด๋‹ค ์ฃผ๊ด€์  ์ž๊ฐ€๊ฐ„ํ˜ธํ–‰์œ„ ์ ์ˆ˜๊ฐ€ ๋” ๋†’์„ ๊ฒƒ์ด๋‹ค. "๋Š” ๊ณต๋ถ„์‚ฐ๋ถ„์„์— ์˜ํ•ด ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋ณด์—ฌ ์ง€์ง€๋˜์—ˆ๋‹ค (F=25.784, 7= .000). ์ œ 2 ๋ถ€๊ฐ€์„ค: "ํšจ๋Šฅ๊ธฐ๋Œ€์ฆ์ง„ํ”„๋กœ๊ทธ๋žจ์„ ์ œ๊ณต๋ฐ›์€ ๊ตฐ์€ ์ œ๊ณต๋ฐ›์ง€ ์•Š์€ ๊ตฐ๋ณด๋‹ค ๊ฐ๊ด€์  ์ž๊ฐ€๊ฐ€๊ฐ„ํ˜ธํ–‰์œ„๋ฅผ ๋” ์ž˜ํ•  ๊ฒƒ์ด๋‹ค. "๋Š” ๊ณต๋ถ„์‚ฐ๋ถ„์„์— ์˜ํ•ด ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋ณด์—ฌ ์ง€์ง€๋˜์—ˆ๋‹ค (F=25.775, F .070). ์ž๊ธฐํšจ๋Šฅ๊ณผ ์ฃผ๊ด€์  ์ž๊ฐ€๊ฐ„ํ˜ธํ–‰์œ„๋Š” ์œ ์˜ํ•œ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋‚˜ํƒ€๋‚ด์—ˆ๋‹ค (์ฒ˜์น˜ ์ž” r= .814 p= .000;์ฒ˜์น˜ ํ›„: F .7f2, p= .700). ์ฃผ๊ด€์  ์ž๊ฐ€๊ฐ„ํ˜ธํ–‰์œ„์— ์˜ํ–ฅ์„ ์ฃผ๋Š” ์š”์ธ์„ ๋‹จ๊ณ„๋ณ„ ํฌ๊ท€๋ถ„์„ํ•œ ๊ฒฐ๊ณผ ์ฒ˜์น˜ ์ „์—๋Š” ์ž๊ธฐํšจ๋Šฅ๊ณผ ๊ฒฝ์ œ์ˆ˜์ค€์ด ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๋ณ€์ˆ˜๋กœ 66%์˜ ์„ค๋ช…๋ ฅ์„ ๋‚˜ํƒ€๋‚ด์—ˆ๊ณ , ์ฒ˜์น˜ ํ›„์—๋Š” ์ž๊ธฐํšจ๋Šฅ๊ณผ ์ง€์‹์ด ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๋ณ€์ˆ˜๋กœ 47%์˜ ์„ค๋ช…๋ ฅ์„ ๋‚˜ํƒ€๋‚ด์—ˆ๋‹ค. ์ด์ƒ๊ณผ ๊ฐ™์ด ๋ณธํƒœ์„ฑ๊ณ ํ˜ˆ์••ํ™˜์ž์—๊ฒŒ ์ œ๊ณต๋œ ํšจ๋Šฅ๊ธฐ๋Œ€์ฆ์ง„ํ”„๋กœ๊ทธ๋žจ์ด ์ž๊ธฐํšจ๋Šฅ๊ณผ ์ž๊ฐ€๊ฐ„ํ˜ธํ–‰์œ„๋ฅผ ์ฆ๊ฐ€์‹œํ‚จ๋‹ค๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜์—ˆ๊ณ , ์ž๊ธฐํšจ๋Šฅ์€ ์ž๊ฐ€๊ฐ„ํ˜ธํ–‰์œ„์™€ ๊ด€๊ณ„๊ฐ€ ์žˆ์–ด ์ž๊ธฐํšจ๋Šฅ์ด ๋†’์„์ˆ˜๋ก ์ž๊ฐ€๊ฐ„ํ˜ธํ–‰์œ„๋ฅผ ์ž˜ ํ•˜๋Š” ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๊ทธ๋Ÿฌ๋ฏ€๋กœ ํšจ๋Šฅ๊ธฐ๋Œ€์ฆ์ง„ํ”„๋กœ๊ทธ๋žจ์€ ๋ณธํƒœ์„ฑ๊ณ ํ˜ˆ์••ํ™˜์ž์˜ ์ž๊ฐ€๊ฐ„ํ˜ธ๋ฅผ ์ฆ์ง„์‹œํ‚ค๋Š” ํšจ๊ณผ์ ์ธ ์ค‘์žฌ๋ฐฉ๋ฒ•์œผ๋กœ ๊ฐ„ํ˜ธ์‹ค๋ฌด์—์„œ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์•ž์œผ๋กœ ๊ฐ„ํ˜ธ์‚ฌ๋Š” ์ž๊ธฐํšจ๋Šฅ์˜ ๊ฐœ๋…์„ ๊ณ ๋ คํ•˜์—ฌ ์ž๊ฐ€๊ฐ„ํ˜ธ ์ฆ์ง„์„ ์œ„ํ•œ ๊ฐ„ํ˜ธ ๊ณ„ํš์„ ์„ธ์šธ ๊ฒƒ์„ ๊ถŒ์žฅํ•œ๋‹ค. [์˜๋ฌธ] Recently, the pattern of disease has changed from contagious diseases to chronic disease in part because of the increase in average life expectancies. This lengthened life expectancy is related to a higher standard of living and the development of better medical techniques. Among chronic diseases hypertension is a main cause of death and since it is impossible, in the majority of cases, to expect a complete recovery after hypertension occurs, the best way to maintain health requires continuous control of the hypertension through a therapeutic regimen. Hypothesizing that knowledge is the best influencing predictor of a patient's compliance with the therapeutic regimen studies have investigated the relationship between knowledge and compliance. These studies have generated convicting results. It has been found that using self-efficacy as the mediating variable to connect knowledge to behavior creates the main variable that determines behavior. This study was conducted to investigate whether an efficacy expectation promoting program based on the self-efficacy theory of Bandura (1977) would increase self-efficacy and self-care in patients with essential hypertension. The study design was a nonequivalent control group non-synchronized design. The efficacy expectation promoting program was composed of a slide/tape program and a telephone coaching program based on Performance accomplishment vicarious experience and verbal persuasion, which are all induction modes of efficacy expectation. The slide/tape program was 20 minutes long and the telephone coaching program was 10 minutes long. The efficacy expectation promoting program was used as the experimental treatment from December 28, 1993 until March 4, 1974. Ninety-eight patients from one university hospital in Seoul participated The 98 research subjects were assigned to experimental(47 patients) and control (51 patients) groups. They were selected using a test of knowledge scale. After a pre-test the slide/tape program was shown to the patients, three days later the telephone coaching program was given. The telephone coaching program was repeated weekly over a four week period. At the end of this time, a mail survey was used to collect a post-test data. The Self-Efficacy Scale developed by Sharer et. al. (1982) translated by Oh (1993),and the Hypertensive Patient's Compliance Scale developed by Lee (1985) and Choi et. al.(1989) were modified by this researcher and used far data collection. The collected data were analyzed using the Chi-square test, t-test analysis of variance, analysis of covariance, Pearson product-moment correlation, and stepwise multiple regression. The results are as follows: 1. Hypothesis 1; "The group given the efficacy expectation promoting program will have a higher self-efficacy score than the g๊ฐœup without the efficacy expectation promoting program" was supported (F=14.712, p= .000), 2. Hypothesis 2; "The group given the efficacy expectation promoting program will demonstrate a higher level of self-care than the group without the efficacy expectation promoting program" was divided into two sub-hypotheses: a) Sub-hypothesis 1;"The group given the efficacy expectation promoting program will have higher subjective self-care scores than the group without the efficacy expectation promoting program" was supported (F=25.784, p= .000). b) Sub-hypothesis 2; "The group given the efficacy expectation promoting program will demonstrate a higher level of objective self-care than the group without the efficacy expectation promoting program" was supported (F=25.376, p= .070). 3. There was a significant relationship between self-efficacy and subjective self-care(pre-test: r= .814, p= .000; post-test: r= .672, p= .000).4. The factors that influenced subjective self-care before the efficacy expectation promoting program was given were self-efficacy p1us economic status and these factors explained 68% of the variance in subjective self-care. The factors that influenced subjective self-care after the efficacy expectation promoting program was given were self-efficacy plus knowledge and these factors can explained 47% of the variance in subjective self-care. In conclusion, it was found that an efficacy expectation prompting program was an effective nursing intervention for increasing self-efficacy and self-care. Therefore, when a nurse is planning to increase self-care relatd to the therapeutic regimen in a patient with essential hypertension, he or she should always consider the concept of self-efficacy.restrictio

    The trends of Nursing Research in the Journal of Korean Academy of Adult Nursing

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    Purpose: The purpose of this study was to analyze the published articles in the Journal of Korean Academy of Adult Nursing from 2004 through 2006. Methods: Two hundreds and ten articles were analyzed focusing on research methodology and key words using descriptive statistics. Results: The proportion of quantitative research was 88.1%, while the proportion of qualitative research was 5.2%. The majority of the qualitative research design was survey(67.1%). Seventy-four percent of the research had verbal consent and 8% had written consent from the participants. Eight percent of the research provided conceptual framework. The prevailing data collection settings were hospitals(50.5%) and community(37.1%). For the data analysis, 95% used parametric analysis methods; descriptive statistics(26.2%), chi-square test(18.3%), t-test(18%) and ANOVA(17.4%). Key words were categorized into four nursing domain: human, health, nursing, and environment. The most frequently used domain was health. Conclusion: The number of the published articles in the Journal of Korean Academy of Adult Nursing has been increased and quality has been improved compared with the articles published before the 2000 year. Varied research methodology and data analysis methods were utilized.์ด ๋…ผ๋ฌธ์€ ์„ฑ์ธ๊ฐ„ํ˜ธํ•™ํšŒ์˜ ์—ฐ๊ตฌ๋น„ ์ง€์›์„ ๋ฐ›์•„ ์ž‘์„ฑํ•จ
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