• 종양간호연구
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• 제9권1호
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• pp.52-59
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• 2009

Purpose: The purpose of this study was to investigate perceived family support and quality of life in patients with cancer. Method: Data were collected from 83 cancer patients in the 3 cities of Korea. Family support was measured using the Tae's Family Support Scale and quality of life was measured using Functional Assessment of Cancer Therapy-General (FACT-G). Results: The mean scores of family support and quality of life were 30.48 and 53.04 respectively. Family support was significantly different according to marital status, education level, income, living together, helper, type of treatment, and weight change. Quality of life was significantly different according to the purpose of treatment, weight change, performance status, exercise, and sleep. There was a positive correlation between family support and quality of life (r=0.499, p<0.000). Conclusion: The study results underscore the importance of family support in improving the quality of life of patients with cancer.

• 지역사회간호학회지
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• 제15권2호
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• pp.237-245
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• 2004

Purpose: This study was to identify the relationships among the depression, social support and quality of life of the elderly in rural areas. Method: The subjects of this study were 199 people aged over 60 who had been living in three rural area. Data were collected through a questionnaire survey from the 10th of July to the 10th of August 2003. Collected data were analyzed using descriptive statistics, t-test, ANOVA. Duncan's multiple-range test, Pearson's correlation coefficient and multiple stepwise regression with SPSS & SAS. Result: The average depression score was 11.09. As for the score of social support by supporter, the score of spouse' support was 13.36 out of 18 points, children's support 13.27, friends' support 11.40, neighbors' support 10.21 and siblings' support 10.20. The average score of quality of life was 132.26 out of 220 points. As for the score of the sub-areas of quality of life, the score was highest in economic status(32.18) and lowest in neighbor relationship (16.42). The score of quality of life was negatively correlated with the score of depression (r=-.014) and positively with the score of social support (r=.338). The suitable regression from the results of the multiple regression analysis to investigate factors influencing quality of life was expressed by y=58.341-$0.361x_1$+$1.492x_2$ ($x_1$: social support, $x_2$: depression) and $R^2$=.327. Conclusion: These results suggest that elderly people in rural areas with high quality of life is likely to be low in depression and high in social support. Therefore, it is necessary to develop health promotion programs in due consideration of depression and social support in order to enhance the quality of life of elderly people in rural areas.

• 호스피스학술지
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• 제5권1호
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• pp.1-13
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• 2005

Purpose:The purpose of this study was to find the ways to improve a quality of life of cancer patients through the family support by analyzing the correlation between quality of life and family support that cancer patients perceived. Methods: The questionnaires for this study were collected from 43 cancer patients who were admitted in general hospitals at Gyounggido from July 2004 to August 2004. The questionnaire was composed of total 60 items, which were general characteristics of 18 items, family support of 11 items and quality of life of 31 items. Kang's(1984) scale of family support and Tae's(2000) scale of quality of life were used. The data were analyzed with SPSS WIN 10.0 program using frequency, mean±SD, t-test, ANOVA and Pearson's correlation analysis. Results: Forty three cancer patients answered the questionnaire. Twenty three patients was a male and 20 a female. Mean scale of family support according to general characteristics was 3.87±0.71. Mean scale of quality of life according to general characteristics was 5.89±1.08 and relatively high. The better degree of education, the higher quality of life significantly and the less physical discomfort, the higher quality of life significantly. The quality of life when the patient burdens the spouse with treatment cost was significantly higher. A correlation between degree of family support and quality of life was r=0.488 and the higher family support that cancer patients perceived, the higher quality of life significantly(p<0.001). Conclusion: The higher family support that cancer patients perceived, the higer quality of life significantly. We suggest concrete and systemic program for family support.

• 한국보육지원학회지
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• 제16권3호
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• pp.19-37
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• 2020

Objective: The purpose of this study was to examine how job stress, coping style, and social support were associated with quality of life among child care teachers. Methods: The participants were comprised of 281 child care teachers in the metropolitan area of Seoul. Job stress, problem-focused coping style, social support, and quality of life were assessed by a teacher-reported questionnaire. Results: Correlation and regression analyses revealed that while job stress predicted lower quality of life, having problem-focused coping style and family support enhanced quality of life among child care teachers. Furthermore, results showed significant moderation effects of support from directors at child care centers on the relationship between job stress and quality of life among child care teachers. Conclusion/Implications: The findings suggest the important role of problem-focused coping styles and family support in enhancing quality of life. Moreover, support from directors at child care centers appeared to buffer the effects of job stress on quality of life among child care teachers. Results were discussed in terms of their implications for educational and counseling programs for child care teachers.

• 품질경영학회지
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• 제28권2호
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• pp.89-102
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• 2000

Many organizations have developed their own traditional quality information systems. But, they think of it as one of the functional information systems not as a company-wide decision support information systems. A study on traditional quality information systems(QIS) has been conducted and a new conceptual framework of quality information system is proposed in this paper. In order to support enterprise wide total quality management aggressively, a new conceptual framework, named quality management support information system(QMSIS) is developed and proposed. This framework is based upon Malcolm Baldrige National Quality Award(MBNQA) model integrates management information system approach and traditional quality information system concept. In this model, organizational performance and process performance can be monitored to support managers , decision making about organizational quality management activities.

• 대한간호학회지
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• 제30권3호
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• pp.670-681
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• 2000

The purpose of this study was to identity the level of burden, social support and quality of life of the subjects. The subjects of this study were 68 mothers of nephrotic syndrome patients whose children were hospitalized in one pediatric ward of the University Hospital in Seoul. The data was collected using questionnaires, and the period of the data collection was from Nov. 15 to Dec. 31, 1999. The instruments used for this study were the Burden Measurement Instrument developed by Montgomery et. al(1985), social support measurement instrument designed Brandt an Weinert(1978) and Quality of life scale designed by Ro,Yoo JA(1988). The data analysis was done by SPSS, t-test, ANOVA and the Pearson correlation coefficient. The results of were as follows. 1. The level of burden showed a mean score of 54.47, the level of social support, a mean score of 86.00 and the level quality of life, a mean score of 140.20. 2. The level of burden differed according to mother's religion, patient's purpose for admission and perceived patient's condition by mothers. 3. The level of social support and the level of quality of life differed according to perceived patient's condition by mothers. 4. There was a negative correlation between burden and social support(r=-.348, p<.001). Also, burden was negatively related with quality of life(r=-3.97, p<.001). Social support was positively related with quality of life(r=.064, p<.001).

• 치위생과학회지
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• 제18권1호
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• pp.32-41
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• 2018

This study investigated the relationship between the organizational culture, organizational support, organizational health, personal health, and quality of work life of dental hygienists and analyzed the factors affecting the quality of work life in order to identify ways to improve their quality of work life. A total of 320 dental hygienists completed a self-administered survey; after excluding data from 21 respondents, 299 responses were included in the analysis. Frequency analyses, t-tests, one-way analysis of variation (ANOVA), and correlation analyses were conducted. A path analysis was also conducted to confirm the causal relationships. The findings are as follows. First, there was a significant difference in several general characteristics of the organizational culture including years in the current job and the number of dental hygienists; organizational support including age and the number of dental hygienists; organizational health including years in the current job and annual salary; and personal health including annual salary. Second, the quality of work life showed a positive correlation with organizational culture, organizational support, personal health, and organizational health in that order. Third, the results of path analysis revealed that organizational culture had a positive effect on organizational support; organizational support and personal health on organizational health; organizational support on personal health; and organizational support and organizational health on quality of work life. In addition, organizational support and organizational health had a direct effect on the quality of work life, while organizational culture, organizational support, and personal health had an indirect effect. These results indicated existence of a relationship among organizational culture, organizational support, organizational health, personal health, and quality of work life. It is necessary to identify ways to improve the quality of work life of dental hygienists.

• 성인간호학회지
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• 제26권3호
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• pp.310-319
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• 2014

Purpose: The purpose of this study was to examine the relationships among perceived health, parental stress, social support, and quality of life of grandparent caregivers and to identify the factors influencing quality of their life. Methods: A descriptive correlational design was used. The data were collected by questionnaires from a convenience sample of 130 participants taking care of their grandchildren from ten children's daycare centers in Seoul, Korea from August to September, 2013. Data were analyzed using t-test, ANOVA, Pearson's correlation efficients, and multiple regressions. Results: Perceived health, parental stress and social support were correlated significantly with quality of life. As a result of the multiple regression analysis, education level, age of grandchildren, perceived health, parental stress and social support accounted for 48% of the variance in quality of life. Perceived health, parental stress, and social support were identified as factors influencing quality of life and the variable that most affected quality of life was perceived health. Conclusion: The results of the study indicate that health of people taking care of their grandchildren must be promoted while relieving their parental stress with appropriate social support in order to improve quality of life.

• 지역사회간호학회지
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• 제31권3호
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• pp.360-374
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• 2020

Purpose: This study aims to identify the mediating effect of health promoting behavior in the relationship between depression and health-related quality of life, and between social support and health-related quality of life among migrant workers. Methods: Data were collected from 152 migrant workers working at companies in K and B metropolitan cities. The study conducted a survey from August 1 to September 30, 2019, and used self-report structured questionnaires that were translated into English and Korean. The data were analyzed using descriptive statistics, Pearson correlation coefficient, simple and multiple regression, Baron and Kenny's method, and Sobel test. Results: Depression was significantly negatively correlated with social support (r=-.29, p<.001), health promoting behavior (r=-.30, p<.001) and health-related quality of life (r=-.44, p<.001). And social support was significantly positively correlated with health promoting behavior (r=.50, p<.001) and health-related quality of life (r=.44, p<.001). And health promoting behavior was significantly positively correlated with health-related quality of life (r=.51, p<.001). Furthermore health promoting behavior showed partial mediating effects in the relationship between depression and health-related quality of life (Z=3.26, p<.001), and showed partial mediating effects in the relationship between the social support and health-related quality of life (Z=3.98, p<.001). Conclusion: In this study, depression and social support were shown to mediate health promotion behavior to improve health-related quality of life. Therefore, in order to improve the health-related quality of life of migrant workers, it is necessary to focus on the health promotion behaviors, and effective strategies are needed to reduce depression, and support social support.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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• pp.352-357
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• 2001

This study presents an analysis of healthcare quality indicators using data mining for developing quality improvement strategies. Specifically, important factors influencing the inpatient mortality were identified using a decision tree method for data mining based on 8,405 patients who were discharged from the study hospital during the period of December 1, 2000 and January 31, 2001. Important factors for the inpatient mortality were length of stay, disease classes, discharge departments, and age groups. The optimum range of target group in inpatient healthcare quality indicators were identified from the gains chart. In addition, a decision support system was developed to analyze and monitor trends of quality indicators using Visual Basic 6.0. Guidelines and tutorial for quality improvement activities were also included in the system. In the future, other quality indicators should be analyze to effectively support a hospital-wide continuous quality improvement (CQI) activity and the decision support system should be well integrated with the hospital OCS (Order Communication System) to support concurrent review.