• Journal of Preventive Medicine and Public Health
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• v.43 no.3
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• pp.235-244
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• 2010

Objectives: To examine the prophylactic antibiotic use in reducing surgical site infection. Methods: This was a retrospective study for patients aged 18 years and older who underwent gastrectomy, cholecystectomy, colectomy, cesarean section and hysterectomy. The data source was quality assessment data of the Health Insurance Review & Assessment Service gathered from medical records of 302 national hospitals. Prophylactic antibiotic use was defined as: timely antibiotic administration or inappropriate antibiotic selection. We performed hierarchical logistic regression to examine the association between prophylactic antibiotic use and surgical site infection with adjustment for covariates. Results: The study population consisted of 16 348 patients (1588 gastrectomies, 2327 cholecystectomies, 1,384 colectomies, 3977 hysterectomies and 7072 cesarean sections) and surgical site infection was identified in 351 (2.1%) patients. The rates of timely antibiotic administration and inappropriate antibiotic selection varied according to procedures. Cholecystectomy patients who received timely prophylactic antibiotic had a significantly reduced risk of surgical site infection compared with those who did not receive a timely prophylactic antibiotics (OR 0.64, 95% CI=0.50-0.83), but no significant reduction was observed for other procedures. When inappropriate prophylactic antibiotics were given, the risk of surgical site infection significantly increased: 8.26-fold (95% CI=4.34-15.7) for gastrectomy, 4.73-fold (95% CI=2.09-10.7) for colectomy, 2.34-fold (95% CI=1.14-4.80) for cesarean section, 4.03-fold (95% CI=1.93-8.42) for hysterectomy. Conclusions: This study examines the association among timely antibiotic administration, inappropriate antibiotic selection and surgical site infection. Patients who received timely and appropriate antibiotics had a decreased risk of surgical site infection. Efforts to improve the timing of antibiotic administration and use of appropriate antibiotic are needed to lower the risk of surgical site infection.

• Korean Journal of Psychosomatic Medicine
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• v.24 no.1
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• pp.66-73
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• 2016

Objectives : The purpose of this study was to investigate the characteristics of psychosocial factors related to functional dyspepsia(FD) and their effects on quality of life(QOL) in firefighters. Methods : This study examined data collected from 1,217 firefighters. We measured psychological symptoms by Patient Health Questionnaire-9(PHQ-9), Generalized Anxiety Disorder questionnaire(GAD-7), Korean Occupational Stress Scale(KOSS), Ways of Coping checklist(WCCL), Rosenberg's Self-Esteem Scale(RSES) and World Health Organization Quality of Life Scale abbreviated version(WHOQOL-BREF). Chi-square test, independent t-test, Pearson's correlation test, logistic regression analysis, and hierarchical regression analysis were used as statistical analysis methods. Results : For the group with FD, the male participants showed significantly higher frequency(p=0.006) compared to the female participants. The group with FD had higher scores for depressive symptoms(p<.001), anxiety (p<.001), and occupational stress(p<.001), and did lower scores for self-esteem(p=.008), quality of life(p<.001) than those without FD. The FD risk was higher in the following KOSS subcategories: job demand(OR 1.94, 95% CI : 1.29-2.93), lack of reward(OR 2.47, 95% CI : 1.61-3.81), and occupational climate(OR 1.51, 95% CI : 1.01-2.24). In the hierarchical regression analysis, QOL was best predicted by depressive symptoms, self-esteem, and occupational stress. Three predictive variables above accounts for 42.0% variance explained of total variance. Conclusions : The psychosocial factors showed significant effects on FD, and predictive variables for QOL were identified based on regression analysis. The results suggest that the psychiatric approach should be accompanied with medical approach in future FD assessment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.3
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• pp.203-215
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• 2019

This study was conducted to identify the utilization of public health centers, as well as the individual characteristics and regional characteristics that affect their utilization based on data from the 2016 Community Health Survey, National Statistical Portal, and National Institute of Environmental Research. Independent samples t-tests, variance analysis, and multiple logistic regression analysis were used for analysis. Hierarchical multiple regression was used to analyze individual and regional characteristics. The results of hierarchical multiple regressions revealed that aged regions, women, older age individuals, respondents with lower education level and income level, walking practitioners, nutrition label readers, individuals experiencing depression, those who have received health checkups, those who are not covered by essential care, those who have spouses, and basic livelihood beneficiaries have increased use of public health centers. However, the use of public health centers decreased in stressors, and regions in which the population per 1,000, number of health care workers, health and welfare budget, fiscal independence, and unemployment rate were above the national average. As above, the central government and local governments need to analyze not only individual characteristics such as health behavior and psychological factors, but also regional characteristics, when establishing local health care policy.

• Korean Journal of Human Ecology
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• v.22 no.5
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• pp.419-431
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• 2013

This study examined the childcare use pattern of the working mothers with preschool children and the factors affecting their use of multiple childcare. The 7th wave data of "Korea Welfare Panel Study" were analyzed for this study. The working mothers with preschool children were selected from the data set and a total of 292 working mothers were included in the analysis. More than 70% of the working mothers were using only one kind of childcare, mostly childcare center and kindergarten and 22.5% of the mothers were using more than two of childcare arrangements. Child factors, maternal factors, household factors, and economic factors were included in the hierarchical logistic regression model in the presented order to predict the use of multiple childcare. The results showed that the child's age and maternal education were positively related to the use of multiple childcare, while whether both parents live with the child, number of children within household, and the poverty status were negatively related to the use of it. Based on these results, we can confer that the main motive for multiple childcare use is to provide various experiences for their children.

• Research in Community and Public Health Nursing
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• v.26 no.2
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• pp.140-149
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• 2015

Purpose: This study was conducted to identify activities of daily living, depression and self-rated health and related factors for Korean Elderly. Methods: Data from the survey for the Korean Longitudinal Study of Aging in 2010 were used. The data were analyzed using frequencies, weighted proportions, and hierarchical multiple logistic regression. Results: Significant difference was observed in health status induced by socioeconomic status between men and women, but not among age groups. Socioeconomic status was strongly associated with self-rated health among male and female elders. Being unschooled and low net family asset were significantly related with dependency in activities of daily living and depressive symptoms among men. Only low net family asset was significantly related with depressive symptoms among women. Family support provides a slight decrease to the negative relationship between socioeconomic status and health status, especially depressive symptoms. Conclusion: This study suggests that interventions to reduce health inequalities should target elderly with lower socioeconomic status and with poor family support, using a gender-specific approach.

• Journal of Preventive Medicine and Public Health
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• v.32 no.3
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• pp.325-332
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• 1999

Objectives: The aim of this study is to identify major factors associated with physical functioning among the Korean elderly. Methods: Data come from a survey of a nationally representative sample of 2,058 older people aged 60 years or elder living in the community. A hierarchical functioning scale was constructed, using upper and lower body mobility, IADLs, and ADLs. Socioeconomic characteristics, chronic conditions, measures of health status, health service use, and social support were analyzed to explore their influence on functioning. Polytomous logistic regression analysis was conducted to identify major contributing factors to different levels of functioning. Results: Persons of older age, female, with chronic diseases (heart disease, stroke, fracture/dislocation) were consistently more likely to show a higher degree of functional limitation. There were variations, however, among other factors; e.g., those with arthritis were more likely to be only mildly impaired, but not moderately or severely impaired. Conclusions: Older Korean adults living in the community with impaired functioning constitute persons with diverse characteristics. Policy and program activities need to address specific needs of older people in different functioning states.

• Journal of Korean Academy of Nursing
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• v.33 no.8
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• pp.1153-1160
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• 2003

Purpose. 1) To identify the time taken from symptom onset to the arrival at the hospital (pre-hospital delay time) and time taken from the arrival at the hospital to the initiation of the major treatment (in-hospital delay time) 2) to examine whether rapid treatment results in lower mortality. 3) to examine whether the pre- and in-hospital delay time can independently predict in-hospital mortality. Methods. A retrospective study with 586 consecutive AMI patients was conducted. Results. Pre-hospital delay time was 5.25 (SD=10.36), and in-hospital delay time was 1.10 (SD=1.00) hours for the thrombolytic therapy and 50.24 (SD=121.18) hours for the percutaneous transluminal coronary angio-plasty (PTCA). In-hospital mortality was the highest when the patients were treated between 4 to 48 hours after symptom onset using PTCA (p=.02), and when treated between 30 minutes and one hour after hospital arrival using thrombolytics (p=.01). Using a hierarchical logistic regression model, the pre- and in-hospital delay times did not predict the in-hospital mortality. Conclusion. Pre- and in-hospital delay times need to be decreased to meet the desirable therapeutic time window. Thrombolytics should be given within 30 minutes after arrival at the hospital, and PTCA should be initiated within 4 hours after symptom onset to minimize in-hospital mortality of AMI patients.

• The Korean Journal of Health Service Management
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• v.10 no.2
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• pp.83-97
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• 2016

Objectives : This study analyzed the factors that determine the use and type of medical examination services (MES) to develop a model explaining the use behavior of MES which could consequently contribute to policy implications for medical examinations. Methods : Based on Anderson's healthcare utilization model, the MES utilization model was developed by including the perceived needs for MES. The data were collected from an online survey of a population aged 20-39 years and from a telephone survey of a population aged 40 years or older, respectively. Chi-Square tests and hierarchical logistic regression analyses were done with SAS version 9.3. Results : Generally, as health status became lower, the use of MES increased. However, patients with two or more chronic diseases were less likely to use private MES compared to patients with one chronic disease. The perceived needs for MES were only related to the use of service and not to the choice of the MES type. Conclusions : There were different results for the significant determinants between the use of the MES and the choice of the MES type. The healthcare industry needs to aware of consumer needs to provide MES based on empirical findings.

• Journal of Preventive Medicine and Public Health
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• v.29 no.2 s.53
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• pp.385-395
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• 1996

This study intends to examine the behavioral pattern and small area variations of health service utilization within Wonju city. We selected three small areas in Wonju city as the study site: Haksung-dong(central area of the city), Moonmak-myun (industrial area which is located 25km away from the center of the city), and Gure-myun (agricultural area which is located 32km away from the center). The data were collected by administering questionnaire interviews with 526 people in three areas. The questionnaire include the items on health service utilization behaviors, sociodemographic characteristics, health status, and perceptions. The statistical methods used for the analysis were ANOVA and hierarchical logistic regression. From the analysis, it was found that there was a variation of health service utilization by areas. Compared to those of other areas, the respondents from agricultural area showed a high probability of using health services. When respondents' personal characteristics were taken into account, the effect of dummy variables representing areas disappeared. Instead, the perceived health status became the prime factor of health service utilization. This result showed that the small area variations of health service utilization is due to the demand factor rather than the supply factor.

• Health Policy and Management
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• v.24 no.4
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• pp.380-388
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• 2014

Background: The volume of surgery has been examined as a major source of variation in outcome after surgery. This study investigated the direct effect of surgery volume to in hospitals mortality and the moderating effect of structural complexity-the level of diversity and sophistication of technology a hospital applied in patient care-to the volume outcome relationship. Methods: Discharge summary data of 11,827 cancer patients who underwent surgery and were discharged during a month period in 2010 and 2011 were analyzed. The analytic model included the independent variables such as surgery volume of a hospital, structural complexity measured by the number of diagnosis a hospital examined, and their interaction term. This study used a hierarchical logistic regression model to test for an association between hospital complexity and mortality rates and to test for the moderating effect in the volume outcome relationship. Results: As structural complexity increased the probability of in-hospital mortality after cancer surgery reduced. The interaction term between surgery volume and structural complexity was also statistically significant. The interaction effect was the strongest among the patients group who had surgery in low volume hospitals. Conclusion: The structural complexity and volume of surgery should be considered simultaneously in studying volume outcome relationship and in developing policies that aim to reduce mortality after cancer surgery.