• Healthcare Informatics Research
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• v.24 no.4
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• pp.327-334
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• 2018

Objectives: The objective of this study was to investigate the relationship between the level of Electronic Medical Record (EMR) system adoption and healthcare information technology (IT) infrastructure. Methods: Both survey and various healthcare administrative datasets in Korea were used. The survey was conducted during the period from June 13 to September 25, 2017. The chief information officers of hospitals were respondents. Among them, 257 general hospitals and 273 small hospitals were analyzed. A logistic regression analysis was conducted using the SAS program. Results: The odds of having full EMR systems in general hospitals statistically significantly increased as the number of IT department staff members increased (odds ratio [OR] = 1.058, confidence interval [CI], 1.003-1.115; p = 0.038). The odds of having full EMR systems was significantly higher for small hospitals that had an IT department than those of small hospitals with no IT department (OR = 1.325; CI, 1.150-1.525; p < 0.001). Full EMR system adoption had a positive relationship with IT infrastructure in both general hospitals and small hospitals, which was statistically significant in small hospitals. The odds of having full EMR systems for small hospitals increased as IT infrastructure increased after controlling the covariates (OR = 1.527; CI, 1.317-4.135; p = 0.004). Conclusions: This study verified that full EMR adoption was closely associated with IT infrastructure, such as organizational structure, human resources, and various IT subsystems. This finding suggests that political support related to these areas is indeed necessary for the fast dispersion of EMR systems into the healthcare industry.

• Stress
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• v.26 no.4
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• pp.259-267
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• 2018

Background: The purpose of this study was to identify the risk factors influencing cognitive function and life satisfaction in elderly living alone. Methods: It was cross-sectional descriptive study by using secondary data from the 2014 national survey of Korean elderly. The study sample consisted of 2,249 subjects who live alone, aged 65 years old and over. Data were analyzed frequency analysis, ${\chi}^2$-test, t-test, ANOVA and Logistic regression analysis. Results: The risk factors that significantly influenced cognitive function were old age, bereavement, lack of education, no regular exercise and low socio-cultural activity satisfaction. The risk factors that significantly influenced life satisfaction were no bereavement, lack of education, no work, negative evaluation of health status, diagnosis of depression and no regular exercise. Also experience of emotional and economical abuse, neglect of financial support and low cognitive function were identified risk factors of life satisfaction. Conclusions: The elderly living alone with risk factors of cognitive decline should be interested. To prevent or delay cognitive impairment, regular exercise and socio-cultural activities were recommended. It was suggested that the promotion of cognitive function, appropriate work and exercise, and social efforts to prevent abuse and neglect can contribute to improving life satisfaction of elderly living alone.

• Journal of Korean society of Dental Hygiene
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• v.18 no.6
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• pp.911-920
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• 2018

Objectives: This study investigated the relationship between demographic and socioeconomic characteristics of the Korean elderly and their unmet dental care needs, by using the 2015 data from the $6^{th}$ Korea National Health and Nutrition Examination Survey (NHANES). Methods: In total, 1,372 elderly persons aged 65 and over, who responded to the $6^{th}$ NHANES, were included in the final analysis. Logistic regression analysis was performed in order to identify any relationship between demographic and socioeconomic characteristics and unmet dental care needs. Results: The rate of unmet dental care needs was shown to be less by 0.799 times in the elderly who reside in dong than those who live in eup and myeon (OR: 0.799, 95% CI: 0.679-0.959). Unmet dental care needs were higher in participants with 'low' and 'below average' than 'above average' income, by 1.645 times (OR: 1.645, 95% CI: 1.087-2.366) and 1.172 times (OR: 1.172, 95% CI: 1.108-1.880), respectively. Elderly individuals living alone had a higher rate of unmet dental care needs than those living with their family by 1.157 times (OR: 1.157, 95% CI: 1.084-1.498). Conclusions: Demographic and socioeconomic factors influenced unmet dental care needs, causing inequality. Proper policy support to the vulnerable should be considered in order to enhance the elderly's access to dental care.

• Health Policy and Management
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• v.28 no.4
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• pp.369-377
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• 2018

Background: Catastrophic health expenditure (CHE) occurs when medical expenditure of a household passes over a certain ratio of household income. This research studied the effect of gender on CHE based on Korea Health Panel data. Methods: This study implemented binary logistic regression model to figure out whether gender affects CHE and how different gender groups show pattern of CHE process. With gender, age, marital status, income level, economic activity, membership of private insurance, existence of chronic disease, and self-rated health were included in the model. Results: Results showed that females faced CHE 1.5 times more than males (odds ratio, 1.241). Also, main determinants of CHE in female groups were marital status, while age and economic activity status were significant in male groups. Subgroup analysis displayed that married female under 35 years old are located in intersectionality of CHE including pregnancy and delivery, multiple health risk behaviors, mental stress, and relatively vulnerable social status due to lower income. Meanwhile, both gender above 50 years old faced remarkably high chance of CHE, which seems to be caused by complex health risk behaviors and chronic diseases. Conclusion: Such results implied not only that gender is an important determinant of CHE, but also other determinants of CHE differ according to gender, which suggests a necessity of gender-based CHE support and rescue policy.

• Journal of Digital Convergence
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• v.19 no.8
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• pp.257-264
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• 2021

Resident training is the process of training specialists with excellent competency. This study analyzed the intention of resident's training dropout and influencing factors by utilizing the results of a survey on the training and working environment of the residents conducted in April 2017. According to a multivariate logistic regression analysis of 1,748 residents, 340(19.5%) answered 'yes', 518(29.6%) 'normal', 890(50.9%) 'no'. Factors related to the dropout of training by residents were found to be whether the hospital was affiliated with a enterprise, training year, training hours, appropriate educational supervision and adequate of the training process. For a desirable Resident education and training, it is necessary to normalize of the resident's working environment, develop of a substantial training program, provide fair and systematic evaluation, and financial support.

• The Journal of Korean Society for School & Community Health Education
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• v.22 no.3
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• pp.69-81
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• 2021

Purpose: This study purposed to analyze of factors related to suicidal ideation among people with and without disabilities in elderly living alone Methods: The study examines the factors of suicidal ideation using over 65 years of age who participated in the 2017 National Survey of Older Koreans of the elderly living alone data. Subjects were 2,265 person among elderly living alone over 65 years of age. Data were analyzed using descriptive statistics, X²-test, t-test, logistic regression analysis with the SPSS win 26.0 program. Results: Suicidal ideation of the elderly living alone with disabilities were 13.6% and 9.0% of the elderly living alone without disabilities, and the elderly living alone with disabilities had higher suicidal ideation (p<.05). The significant predictors of the suicidal ideation in elderly living alone with disabilities were employment and depression. The significant predictors of the suicidal ideation in elderly living alone without disabilities were age, gender, number of chronic disease, economic state, SLCA(Society, leisure, culture, and activities) and depression. Depression was analyzed as a common factor related to suicidal ideation in disabled and non-disabled elderly living alone. Conclusion: Based on the results of this study, it is necessary to develop a program for people with and without disabilities. It is necessary to prepare various programs and community support systems to prevent and manage depression for people with and without disabilities in elderly living alone.

• Research in Community and Public Health Nursing
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• v.31 no.4
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• pp.436-446
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• 2020

Purpose: This study aims to explore the association between unemployment and depression in people from different age groups ranging from 18 to 65 years old. Methods: This study used a cross-sectional design. We performed bivariate analysis and multivariable logistic regression on the 2010 Behavioral Risk Factor Surveillance System (BRFSS) data from 12 states in the United States. Results: On a sample comprised of n=53,406 individuals, of whom 2,546 (7.8%) were identified as being depressed and 3,448 (10.6%) as unemployed, we found that individuals aged 61~65 years have a lower depression risk compared to those aged 18-25 after adjusting for other variables including employment status. However, people from 61~65 have higher increased risk of depression when unemployed compared to other age groups in all three models tested (3.95 times higher in unemployed people in model 1, and 2.81 times higher in model 2 and model 3). Conclusion: Our findings indicate that there may need to be more focus on older adults who are unemployed, with associated support services for their mental health. The results of our study indicate that although older adults are less likely to be unemployed, there are more likely to experience depression if they are unemployed (once other confounding factors are taken into account) than younger adults. Policies and interventions can be developed to address not only the physical difficulties but also the mental challenges with which older adults can be at risk facing in case of unemployment.

• Clinical and Experimental Emergency Medicine
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• v.5 no.4
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• pp.230-239
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• 2018

Objective The suicide rate in South Korea is very high and is expected to increase in coming years. Intoxication is the most common suicide attempt method as well as one of the common reason for presenting to an emergency medical center. We used decision tree modeling analysis to identify predictors of risk for suicide by intentional intoxication. Methods A single-center, retrospective study was conducted at our hospital using a 4-year registry of the institute from January 1, 2013 to December 31, 2016. Demographic factors, such as sex, age, intentionality, therapeutic adherence, alcohol consumption, smoking status, physical disease, cancer, psychiatric disease, and toxicological factors, such as type of intoxicant and poisoning severity score were collected. Candidate risk factors based on the decision tree were used to select variables for multiple logistic regression analysis. Results In total, 4,023 patients with intoxication were enrolled as study participants, with 2,247 (55.9%) identified as cases of intentional intoxication. Reported annual percentages of intentional intoxication among patients were 628/937 (67.0%), 608/1,082 (56.2%), 536/1,017 (52.7), 475/987 (48.1%) from 2013 to 2016. Significant predictors identified based on decision tree analysis were alcohol consumption, old age, psychiatric disease, smoking, and male sex; those identified based on multiple regression analysis were alcohol consumption, smoking, male sex, psychiatric disease, old age, poor therapeutic adherence, and physical disease. Conclusion We identified important predictors of suicide risk by intentional intoxication. A specific and realistic approach to analysis using the decision tree modeling technique is an effective method to determine those groups at risk of suicide by intentional intoxication.

• Korean Journal of Clinical Pharmacy
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• v.30 no.4
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• pp.264-269
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• 2020

Background: Inflammatory diseases can increase the prevalence of anemia. Recent studies confirmed that the prevalence of anemia is increased by atopic dermatitis (AD), a chronic inflammatory disease. Therefore, we aimed to elucidate the correlation between AD severity and prevalence of anemia. Methods: We used data of pediatric patients from the Health Insurance Review and Assessment Service (HIRA-PPS-2016). We included pediatric patients (<18 years) with AD diagnosis who were prescribed medications for AD. We applied a propensity score method with inverse probability of treatment weighting (IPTW) adjusting for differences in prevalence of confounders and performed IPTW logistic regression to evaluate associations between the anemia and severity of AD. Results: In total, 91,501 patients (mild AD: 47,054 patients; moderate-to-severe AD: 44,447 patients) <18 years who were prescribed drugs for AD were analyzed. Analysis of the probability of patients with mild AD and prevalence of anemia as a reference revealed an odds ratio (OR) of 1.159 (95% CI, 1.109-1.212; p<0.001) in moderate-to-severe AD patients, indicating a correlation between anemia prevalence and AD severity. Subgroup analysis according to gender, age group, and type of health insurance revealed there was an association between AD severity and anemia except in patients equal or older than 7 years. Conclusion: The prevalence of anemia increased with AD severity despite adjusting for confounding factors. Our results support the hypothesis that AD can cause anemia, and anemia prevalence could be increased in severe AD patients. Further studies are needed to establish a pathological basis.

• Journal of Korean society of Dental Hygiene
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• v.20 no.6
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• pp.809-817
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• 2020

Objectives: This study aimed to analyze the relationship between socioeconomic factors and the unmet dental care needs of the living alone and living with family elderly groups to confirm the differences in their influence. Methods: Data from the Korea Health Panel Study of 2016 were used to analyze a total of 4,987 individuals: 4,008 in living with family group and 979 in living alone group. Chi-square test and multiple logistic regression analyses were performed using SPSS Version 22 (p<0.05). Results: We observed that 16.5% and 28.3% of the participants from the living with family and living alone groups had unmet dental care needs, respectively, indicating that the living alone group had more unmet dental care needs. Income level, residential area, and healthcare security were significant factors related to the living with family group. In contrast, medical aid for healthcare security was a significant factor related to the living alone group (p<0.05). Conclusions: The results confirmed that socioeconomic factors that affect unmet dental care vary according to the living situation. Therefore, the government should identify the number of elderly individuals living alone, which is increasing annually. These individuals are vulnerable in almost all aspects, and the government should establish and implement appropriate oral healthcare policies to support them.