• Physical Therapy Rehabilitation Science
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• 제11권3호
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• pp.376-383
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• 2022

Objective: This study investigated how social support and self-efficacy affect the quality of life of elderly people with chronic diseases. Design: The study consisted of descriptive survey research. Methods: A questionnaire covering social support, self-efficacy, and quality of life was distributed to 320 elderly people with chronic diseases. Pearson's correlation analysis was performed to examine the correlation between the respondents' social support (family support, friend support, medical support), self-efficacy (confidence, self-regulation efficacy, preference for task difficulty), and quality of life. Multiple regression analysis was also performed to identify the factors affecting the respondents'quality of life. Results: "Friend support" and "quality of life" (r=-636, p<0.001), had a negative correlation, "confidence" and "quality of life" (r=0.827, p<0.001), "self-regulating efficacy" and "quality of life" (r=0.736, p<0.001), and "preference for task difficulty" and "quality of life" (r=0.295, p<0.001)-had positive correlations. Friend support (𝛽=-0.164, p<0.001), confidence (𝛽=0.592, p<0.001), and self-regulation efficacy (𝛽=0.160, p<0.001) were found to affect quality of life. The independent variables showed the following degrees of influence, in order: confidence, friend support, and self-regulation efficacy. Their explanatory power was 73.3% (F=146.844, p<0.001). Conclusions: The quality of life of elderly people with chronic diseases can be improved by formulating health-promotion programs that foster a sense of community.

• Educational Technology International
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• 제24권1호
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• pp.53-80
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• 2023

This study investigates faculty support for quality assurance in online education, and offers suggestions for its improvement based on feedback from Instructional Design (ID) staff working at a public university in the U.S. Qualitative research using semi-structured interviews was conducted with seven ID staff in order to examine their perceptions regarding faculty support related to quality assurance in online education. The results of the data analysis indicate that four types of faculty support-quality assurance reviews using Quality Matter (QM) standards, templates, individual consultations with ongoing support, and monitoring-were offered for faculty. Faculty support for quality assurance in online education could be improved by developing specific quality assurance standards, recruiting external experts, examining learning effects, developing a quality assurance management system, and sharing documents among ID staff. This study highlights the necessity of quality assurance in online education and provides cases of faculty support in a real higher education setting.

• 종양간호연구
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• 제8권1호
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• pp.32-39
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• 2008

Purpose: This study was to identify the relationship between perceived family support and quality of life in hospitalized patient with terminal cancer. Method: Study subjects were 104 patients with terminal cancer who were hospitalized and treated at K university hospital, in Busan. Perceived family support and quality of life were measured using the Kang's Revised Family Support Scale and Youn's Quality of Life scale for terminal patients. Results: 1) The mean score of perceived family support was $4.23{\pm}0.61$. The mean score of quality of life was $5.83{\pm}1.37$. 2) The perceived family support was significantly different with primary care giver, food type, medical period after diagnosis. 3) The levels of quality of life was significantly different by number of children, effect of religion on the one' life, perceived state of disease and pain. 4) There was moderate positive correlation between perceived family support and quality of life. Conclusions: Increase in perceived family support was associated with increase in quality of life in hospitalized patients with terminal cancer. It is necessary that the development of nursing education program for family which help to support the patient with terminal cancer for increasing the quality of life of patient with terminal cancer.

• 성인간호학회지
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• 제17권1호
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• pp.3-11
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• 2005

Purpose: This study was conducted to investigate quality of life according to social support of elderly in the rural area. Method: The subjects of this study were 199 people aged over 60 who had been living in three rural areas. Date was collected through questionnaires from July 10th, to August 10th, 2003. Result: The most socially supportive people they answered were friends(80.9%), followed by children(74.9%), neighbors(71.9%), siblings(55.8%), spouse(53.3%), in descending order. Mean social support score for spouse was 13.36, for children 13.27, for friends 11.40, for neighbors 10.21, for siblings 10.20. A comparison of the average grade points per items according to the offerers of social support revealed spouse support(13.36 out of 18), children support(13.27), friends support(11.40), neighbor support(10.21), siblings support(10.20). The average of the quality of life score was 132.26 out of 220. A comparison of the average grade points per items within sub-areas of quality of life revealed the highest score of neighbor relationships(4.29 out of 5.00) and the lowest score of economic conditions (2.61) Quality of life scores correlated positively with social support scores(r=.734, p<.001). Variables significantly influencing quality of life were spouse support(36.1%), neighbor support (5.1%), age(2.2%), religion(1.7%). These variables explained 45.1% of the variance in quality of life. Conclusion: Social support for elderly people in rural areas identified this as a greatly effective factor for their quality of life. Therefore, it is necessary to develop health promotion programs connected with social support in order to enhance the quality of elderly people in rural areas.

• 한국의료질향상학회지
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• 제8권2호
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• pp.186-207
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• 2001

Background : This study presented an analysis of healthcare quality indicators using data mining and a development of decision support system for quality improvement. Method : Specifically, important factors influencing the key quality indicators were identified using a decision tree method for data mining based on 8,405 patients who discharged from a medical center during the period between December 1, 2000 and January 31, 2001. In addition, a decision support system was developed to analyze and monitor trends of these quality indicators using a Visual Basic 6.0. Guidelines and tutorial for quality improvement activities were also included in the system. Result : Among 12 selected quality indicators, decision tree analysis was performed for 3 indicators ; unscheduled readmission due to the same or related condition, unscheduled return to intensive care unit, and inpatient mortality which have a volume bigger than 100 cases during the period. The optimum range of target group in healthcare quality indicators were identified from the gain chart. Important influencing factors for these 3 indicators were: diagnosis, attribute of the disease, and age of the patient in unscheduled returns to ICU group ; and length of stay, diagnosis, and belonging department in inpatient mortality group. Conclusion : We developed a decision support system through analysis of healthcare quality indicators and data mining technique which can be effectively implemented for utilization review and quality management in a healthcare organization. In the future, further number of quality indicators should be developed to effectively support a hospital-wide Continuous Quality Improvement activity. Through these endevours, a decision support system can be developed and the newly developed decision support system should be well integrated with the hospital Order Communication System to support concurrent review, utilization review, quality and risk management.

• 지역사회간호학회지
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• 제8권1호
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• pp.74-88
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• 1997

The purpose of this study was to identify the relationship between perceived social support and the quality of life of cancer patients receiving gene therapy. The subjects for this study were 50 cancer patients receiving gene therapy at two general hospital in Seoul. The data were collected during the period from October 14, 1996 to November 11, 1996. The perceived social support was measured by the family support scale made by Hyun Sook Kang, by the medical support of life scale developed by Ok Soo Kim. The quality of life scale developed by Bang-Whal-Ran was used, among the questionnaire, physical factors was developed by U.S.A National Conference on Cancer Nursing. The data was analysed by the SAS statistical program. Percentile, means and standard deviations, t -test, ANOVA, Scheffe test, Pearson correlation were utilized for analysis. The results of this study were as follows. 1. The mean score of the perceived social support of the subjects was 83.66, the item score was 3.8. 1) The mean score of the perceived family support of the subjects was 44.96, the item mean score was 4.5. 2) The mean score of the perceived professional medical support of the subjects was 38.70, the item mean score was 3.2. 2. The mean score of quality of life of the subjects was 120.38, the item mean score was 3.17. For each factor in quality of life scale, the mean score was follows: for attitude toward life, 3.95, for familial relationship and financial status, 3.53, for social activity 3.24, for emotional status, 3.08, for healthy perceptive, 2.90, for physical symptom, 2.80. 3. The result of the analysis of the relationship between perceived social support and quality of life showed a positive correlation(r=.4853, p=.0004). Therefore, the higher the perceived social support of the patients, the higher the quality of life. 1) The result of the analysis of the relationship between perceived family support and quality of life showed significant correlation(r=. 3566, p=.0110). Therefore the higher the perceived family support of the patients, the higher the quality of life. 2) The result of the analysis of the relationship between perceived professional medical support and quality of life showed significant correlation (r=.4477, p=.0011). Therefore, the higher the perceived professional medical support of the patients the higher the quality of life. 4. There was a significant difference in perceived social support according to sex(F=2.1437, p= .0371), others coping non-family (F=2.4863, p=.0164) and duration of treatment (F=4.16, p=.0218). 5. There was a significant differance in quality of life according to sex(F=2.6932, p=.0097), degree of education(F=2.3610, p=.0223), others coping non-family(F=2.0502, p=.0458). In conclusion, this study revealed that social support is an important factor that associated with the quality of life in cancer patients receiving gene therapy.

• 보건교육건강증진학회지
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• 제23권3호
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• pp.99-119
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• 2006

Objectives: This study intends to understand the difference within group of social support level and the effect of social support to health behaviors and health status of the elderly by selecting the old of local society as target. Methods: Data were obtained from self-administered questionnaire of 8,688 persons, older than 65 years, living in a community. We measured the sociodemographic characteristics, social support(family support, other support, quality of support), physical health state(subjective health status, number of chronic disease), physical function state(activities of daily living; ADL, instrumental activities of daily living; IADL), cognition state(mini-mental state examination-Korean; MMSE-K) and depression state(short form of geriatric depression scale; SGDS), health behaviors(smoking, drinking, exercise, eating habit). Univariate, multinominal logistic regression and covariance structure analysis were employed to analyze factors affecting on the social support of the elderly. Results: When considering the degree of social support by the sociodemographic characteristics of the older adults, the family support, other support and quality of support is better when the old is male, young, high education and self-reported living status is good and it has significance statistically. When considering the relation between social support and health status, the family support, other support and quality of support is better when the old's subjective and objective physical health status is good. The family support, other support and quality of support is better when the old's subjective health status is better. The other support and quality of support is better when the old's ADL(activities of daily living) and IADL(instrumental activities of daily living) are good. The family support, other support and quality of support is better when the old's cognitive function and depression state is better. When considering the relation between social support and health behaviors, in case of smoking and drinking, the quality of support, family support and other support is better when the old smokes and drinks rather than the old does not. In case of exercise and eating habit, the family support, other support and quality of support is better when the old exercises and eats regularly rather than the old does not. It has significance statistically. From the result of performing covariance structure analysis by structural equation modeling(SEM) with two endogenous variable(health behaviors and health status) and one exogenous variable(social support), factor loading of health status is 0.74 and factor loading of health behaviors is 0.05. The social support explains health status of 55.4% and health behaviors of 2.9%. Conclusions: This study has the meaning that it finds the difference of social support generating from inside of the group for the old residing in city and country and specifies the effect that the difference of social support influences to health status and health behaviors. From now on, in the development of health improvement strategy of the olds, it is necessary to approach from inclusive aspect while considering psychosocial factor such as social support and social economical factor as well as health status.

• 품질경영학회지
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• 제40권2호
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• pp.145-155
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• 2012

The purpose of this study is to suggest the direction of improving service quality in the defense logistics support. For this, this study compares and analyzes the perceived service quality between customer(using unit) and defense logistics support unit by using SERVPERF model. Supply, military meals, and maintenance are carrying out the mission as core function of defense logistics support and also encounter with customer. In this empirical analysis, the service quality is composed of four factors, and there are significant difference in perception level of service quality between them. Also, the relationship between factors of service quality and revisit intention shows significant difference statistically, and the customer orientation and responsiveness are key affecting factors on revisit intention.

• 한국생활과학회지
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• 제16권1호
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• pp.27-37
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• 2007

The purposes of present study were to investigate relationships among wife abuse, social support, coping styles, and quality of life, and to examine how abused wives' social support influences coping and quality of life. The subjects were consisted of 144 abused wives in Gwangju, Korea. The major findings are as follows; 1. Problem-focused coping and seeking of social support were different by the wife abuse. 2. Abused wives' quality of life was positively related monthly income, social support, problem-focused coping, and wishful thinking coping. 3. The results of the hierarchical regression analysis indicated that the social support had the strongest impact on abused wives' quality of life. And the problem-focused coping, monthly income, and emotion-focused coping. These variables accounted for 32% of variance of abused wives' quality of life.

• 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.