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22대 대한민국 국회 국회정보길라잡이 국회의원검색
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Abstract 6

I. 서론 8

1. 연구의 필요성 8

2. 연구목적 11

3. 용어의 정의 12

가. 만생 C형 간염 12

나. 건강 관련 삶의 질 12

II. 문헌고찰 13

1. 만성 C형 간염 13

2. 만성 C형 간염 환자의 건강 관련 삶의 질 17

III. 연구방법 20

1. 연구설계 20

2. 연구대상 20

3. 연구도구 21

가. 간질환 건강 관련 삶의 질(Liver Disease Quality of Life, LDQOL 1.0) 21

나. 일반적 특성과 질병 관련 특성 23

4. 자료수집 기간 및 윤리적 고려 23

5. 자료분석 방법 24

IV. 연구결과 25

1. 대상자의 일반적 특성과 질병 관련 특성 25

2. 대상자의 간질환 건강 관련 삶의 질 수준 27

3. 대상자의 일반적 특성에 따른 간질환 건강 관련 삶의 질 차이 28

4. 대상자의 질병 관련 특성에 따른 간질환 건강 관련 삶의 질 차이 31

5. 간질환 건강 관련 삶의 질에 영향을 미치는 요인 32

V. 논의 36

VI. 결론 및 제언 44

References 46

부록 55

부록 1) 설문지 55

부록 2) 도구승인 66

부록 3) IRB 68

초록보기

This study is a descriptive research aimed at providing basic data to develop nursing intervention for chronic hepatitis C patients and improve quality of their life by understanding quality of their life and influence factors in terms of their health.

Data were collected from 125 outpatients over 18 years old who were diagnosed with hepatitis C between December 29, 2015 and April 8, 2016. The researcher distributed questionnaires to the respondents and immediately collected them upon completion. This study used the Liver Disease Quality of Life instrument, which was developed by Gralnek et al. (2000) and translated by Kim et al. (2007). The collected data were analyzed using descriptive statistics, t-tests, ANOVA and the multiple regression method using the SPSS 18.0 software. The results are as in the following:

1. Among the subdomains of quality of life in general health, the average score in pain was the highest while that in vitality was the lowest. Among the subdomains of liver disease-characteristic health quality of life, the average score in memory was the highest while that in sexual function was the lowest.

2. In respect to general health-related quality of life, there were statistically significant differences in age(t＝1.99, p＝.049), gender(t＝2.37, p＝.019), religious(t＝2.44, p＝.016), living type(F＝4.55, p＝.012), education level(t＝-3.13, p＝.002), working type(F＝3.97, p＝.021), and monthly income(F＝8.86, p〈.001). As to liver disease targeted health-related quality of life, there were statistically significant differences in living type(F＝3.30, p＝.040), education level(t＝-2.45, p＝.016), working type(F＝3.61, p＝.030), monthly income(F＝3.98, p＝.010), and comorbidity(t＝2.24, p＝.027).

3. The regression model demonstrated an explanatory power of 8.7 –34.6% when factors that influenced quality of life in regard to the health of chronic hepatitis C patients were analyzed, including age(more than 51 years), gender(female), education level(above college), living type(single), working type(unemployment), monthly income(less than 2490X10³) and comorbidity(yes).

Therefore, it is required to develop nursing intervention for chronic hepatitis C patients and improve quality of their life based on the result. Also the findings can serve as a useful reference for nursing personnel in developing instructions for upgrading the care of chronic hepatitis C patients.

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