Purpose: This study is a descriptive research study to measure the quality of life of those who suffer from breast cancer and take the chemotherapy. Method: The Subjects were 70 breast cancer patients who took the chemotherapy from September 2 to October 31, 2003. Quality of life was measured by Ferrell's measurements. Result: Quality of life indicators were spiritual domain=6.44, physical domain=5.45, social domain=4.15, and mental domain=3. 95. Whole quality of life was 4. 68 out of 10 points. The quality of life of those with a practicing religion was significantly higher than those without(F=3.88, P=0.026). Subjects who were less than 2 months post-operation had higher points in the physical domain than those who were more than 2 months post-operation (t= 2.76, p=0.007). Subjects who had less than 4 treatments of chemotherapy had higher points in the physical domain than those who had more than 4 treatments of chemotherapy (t=2.03, p=0.046). Conclusion: The results of this study serve as a meaningful source to promote quality of life of breast cancer patients who undergo chemotherapy. The results can also be applied to the development of education programs and counseling materials for chemotherapy patients. Health care strategy can also raise the quality of life of brest cancer patients.
Background: In general, measurement qualities of cross-culturally adapted quality of life (QOL) measures are altered in many aspects, although versions of them are well-validated measures. The latent trait and measurement qualities of the QOL measures for cancer-related samples should be considered when developing cross-culturally adapted measures. Objects: To investigate the latent trait of the translated into Korean World Health Organization Quality of Life-BREF (WHOQOL-BREF) administered to different cancer survivors who had palliative rehabilitation care service (PRCS). Methods: A cross-sectional study with 139 cancer survivors who had an experience of cancer survivorship with PRCS were conducted with a two-step analytic procedure including exploratory factor analysis (EFA) to confirm the latent trait and Rasch rating scale modeling to investigate the measurement qualities of the cross-culturally adapted WHOQOL-BREF measure. Results: While the original WHOQOL-BREF measure constitutes a 4-latent trait, the EFA reveals that 24 items constitute six substantial factors. The item loadings are predominantly spread over factors 1 through 4 in a mixed manner of the latent traits, while the loadings of 'physical health' and 'environmental health' latent traits show similarity to what the original measure intended to assess. The latent trait of the cross-culturally adapted WHOQOL-BREF measure administered to different cancer survivors is likely to reveal more dimensions than the original WHOQOL-BREF measure. Person reliability (i.e., analogous to Cronbach's alpha) and separation are measured with 0.92 and 3.48, respectively. All items except the one item (medical treatment item) fit the Rasch rating model. Conclusion: Findings suggest that the latent trait and the measurement qualities of the cross-culturally adapted WHOQOL-BREF measure should be taken into consideration when applying versions of it to various populations.
The Journal of Korean Academic Society of Nursing Education
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v.12
no.1
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pp.52-59
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2006
Purpose: The study was attempted to provide basic materials for development of nursing-intervention programs by examining effects of growth hormone therapy on the quality of life, depression and self-esteem. Method: A survey was conducted for 31 adult outpatients as experimental group who have received growth hormone therapy more than 6 months and for 29 adults as control group who have not. A scale developed by Hilditch was used to measure their quality of life and also, the Zung's Self-rating Depression Scale and the Rosenberg's Self-esteem Scale were adopted to measure their depression and self-esteem each. Data were analyzed using one-way and two-way ANOVA Result: 1) there were differences between the two groups in the overall measurement of the quality of life. the growth hormone therapy group was higher in sub-factors 2) There were clear-cut differences between the two groups in depression, so that the control group marked higher score in the measurement of depression. 3) Self-esteem was not identical across the two groups, so that it was more higher for the growth hormone treatment group. Conclusion: Those findings suggest that development of education programs related to growth hormone and nursing-intervention is promising.
Purpose: The purpose of this study was to investigate the relationships between anxiety, depression, low anterior resection syndrome, and quality of life after lower anterior resection for rectal cancer. Methods: The participants of this study were 105 rectal cancer patients who visited the outpatient department of a hospital in Seoul for treatment or follow-up consultations. Data were collected using self-reported questionnaires and clinical records. To measure the variables, the Hospital Anxiety and Depression Scale, Low Anterior Resection Syndrome Score, and Quality of Life Questionnaire-Core 30 were utilized. Data were subsequently analyzed using the SPSS/WIN 20.0 program. Results: Low anterior resection syndrome was more severe among patients whose cancer was located closer to the anus, and had a greater range of resection in those who received neoadjuvant treatment. When anxiety, depression, and low anterior resection syndrome score were higher, quality of life scores were lower. Conclusion: These results suggest that low anterior resection syndrome may negatively impact quality of life. Therefore, it is necessary to provide patients with symptom management support/assistance through evidence-based nursing interventions, and evaluations of low anterior resection syndrome to relieve anxiety and depression, and thus enhance quality of life.
The Journal of Korean society of community based occupational therapy
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v.4
no.1
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pp.1-10
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2014
Objective : The purpose of this study was to comparatively analyze time use and quality of life in stroke patients who use Local community or convalescent Hospital environment. Methods : The study subjects were 74 stroke patients who were admitted to convalescent Hospital or who were being rehabilitated as outpatients. The Occupational Questionnaire(OQ)was used for measuring time use and the Stroke Specific Quality of Life(SS-QOL) utilized to measure Quality of life. Excluding 8 patients who did not fit selection criteria, 66 patients were selected and analyzed. Results : After comparatively analyzing time use in Local community and convalescent Hospital environment, significant differences were found in daily living(p<.05), resting(p<.05). In addition, in quality of life, significant differences were found in family(p<.05), self-management(p<.05), and social roles(p<.05). Conclusion : Local community patients used their time in daily living, resting more efficiently than convalescent Hospital patients, and also had a higher quality of life.
Homeless people have remained one of the most disadvantaged groups in Korea. Therefore this study aims at examining how the homeless evaluate their quality of life and which factors influence their quality of life. The subjects of this study were 185 homeless adults residing on the street, in the shelter, and in substandard housing in Daejeon Metropolitan City. With a view to collecting the data effectively, different approaches have been taken for each type of homelessness in this study. By using the Korean Version of WHOQOL-BREF(brief version of WHO quality of life measure), this study has examined the current circumstance of the homeless and identified the predictors of their quality of life. The results of this study reconfirm low quality of life of homeless people. Also the results of this study indicate that the important factors influencing their quality of life are age, receipt of public assistance, perceived health status, alcohol use, alcohol addiction, housing type, and recognition by others. Predictors of each domain of quality of life differ to some extent. Statistically significant predictors of physical health are receipt of public assistance, perceived health status, and housing type. Psychological health is significantly influenced by age, receipt of public assistance, perceived health status, housing type, and recognition by others. Significant predictors of social relations are alcohol use, housing type, and recognition by others. Environment is significantly influenced by perceived health status, housing type, and recognition by others. On the basis of the findings of this empirical analysis, some measures conducive to the improvement of quality of life of homeless people are suggested. Only a few studies have been conducted to delve into the quality of life of the displaced group in Korea. In such a context, the significance of this study lies in identifying the circumstances of the homeless as a basic work for upgrading their quality of life on the one hand, and in empirically testing the major predictors of each domain of their quality of life on the other.
Purpose: This study was done to examine factors affecting quality of life among community-dwelling elderly women who live in rural areas. Methods: The design of this research was cross-sectional descriptive study. The participants were 92 community-dwelling women aged 65 or older. Data were collected from November 1 to 15, 2013. ADL (Kart's Index), GDS-SF (Geriatric Depression Scale Short Form) and GQOL (Geriatric Quality of Life Scale) were used to measure variables. Data were collected using self-administered questionnaires and analyzed using descriptive statistics, Spearman's coefficient and stepwise multiple regression. Results: The participants' mean age was 77.5, and 85.9% had elementary school graduation or less education, and for 64.1%, their economic status was low. Spearman's rho coefficient analysis found that QOL was significantly associated with depression (r=-.72, p<.001), perceived health (r=.58, p<.001), regular exercise (r=.47, p<.001), education level (r=.29, p=.005), and ADL (r=-.21, p=.043). Multiple regression analysis showed that 65.9% of their QOL was explained by depression (${\beta}=-.72$), perceived health (${\beta}=.24$), ADL (${\beta}=-.16$), exercise (${\beta}=.22$) and number of diseases (${\beta}=.19$). Conclusion: These results indicate that older women who live rural areas need support for ADL, and prevention of depression to improve their quality of life.
Journal of Korean Academy of Nursing Administration
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v.18
no.3
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pp.320-328
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2012
Purpose: Professional quality of life is the quality one feels in relation to their work as a helper. The purpose of this study was to describe professional quality of life among emergency nurses. Methods: A total of 15 emergency rooms were selected in three cities. Among 263 nurses working at these emergency rooms, 178 nurses consented to participate in this cross-sectional survey. Professional Quality of Life (ProQOL) Scale version 5 was used to measure compassion satisfaction, burnout and secondary traumatic stress. Cluster analysis was used to classify nurses according to professional quality of life. Results: The mean scores (SD) for compassion satisfaction, burnout, and secondary traumatic stress were 32.12 (5.45), 28.27 (4.28), and 28.20 (5.07), respectively. The result of cluster analysis according to standardized score of compassion satisfaction, burnout, and secondary traumatic stress yielded three clusters. Over 50% of participants showed low professional quality of life. Nurses who were included in a cluster representing low professional quality of life were younger, had shorter periods of nursing experience, and perceivedlower social support than other cluster. Conclusion: Education or support programs for emergency nurses are needed to enhance their professional quality of life.
High risk breast cancer patients receive aggressive treatments such as APBSCT in order to prevent the recurrence. These treatments take a long time and decrease the quality of life of patients as a result. The purpose of this study is to examine when the changes of quality of life are dramatic in general and in specific dimension. This is a time series study of two types of treatment groups, in which 15 patients were treated by chemotherapy only and nine patients by auto-peripheral blood stem cell transplantation. Subjects were in this study were stage III and above of breast cancer. Data were collected from April 1999 to April 2000 with the 3 month-interval starting after 3rd cycle of chemotherapy. Data were collected 3 times ; treatment period, treatment finishing period and 3 months later after the treatment. Ferrell's QOL instrument was used which had been developed for the breast cancer patients in 1989. Repeated Measure ANOVA was used to examine differences of quality of life at 3 points of time respectively. As a result, average age was 43.29 years (4.38yrs) and the number of married person was 22(91.7%). Scores of quality of life were 5.45 at 1st period after 3rd cycle of chemotherapy, 5.17 after treatment, 5.10 at 3 months later after treatment and difference of quality of life was decreased according to period of treatment (P=.085). Only the psychological dimension of the quality of life showed the significant difference (P=.045). Two different treatment groups showed a difference of quality of life at 3 month later after treatment. In conclusions, high risk breast cancer patients showed the decreased quality of life related to treatment up to 3 months later of treatment. Subjects who received APBSCT returned to the normal quality of life more rapidly than those who received chemotherapy. Psychological nursing intervention was needed during the whole period of treatment.
Park, Soo-Kyeong;Kim, Hwa-Soon;Cho, In-Sook;Ham, Ok-Kyung
Journal of Korean Academy of Fundamentals of Nursing
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v.16
no.4
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pp.497-505
/
2009
Purpose: The purpose of this study was to identify the level of quality of life and gender differences in predictors of quality of life among patients with coronary artery disease. Methods: Participants for this descriptive survey were 67 men and 65 women who signed informed consents. They were patients who had undergone coronary artery bypass graft surgery or percutaneous transluminal coronary angioplasty, or were on medication therapy after a heart attack. The Short-Form Health Survey (SF-36), Personal Resource Questionnaire-part (II), and the Center for Epidemiologic Studies Depression Scale were used to measure quality of life, social support, and depression respectively. Gender and age were controlled because they were reported as influencing factors in previous studies. Results: There were significant differences in depression and quality of life between men and women however, social support was not significantly different by gender. In multiple regression analysis, depression was a significant predictor and explained 51.9% of quality of life for men. In women, depression and social support were significant predictors and explained 50.9% of quality of life. Conclusion: Factors influencing quality of life for men and women were different, and therefore, nurses need to consider their patients' gender and use specific strategies to improve quality of life for patients with coronary artery disease.
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