• Journal of Korean Public Health Nursing
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• v.30 no.3
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• pp.556-569
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• 2016

Purpose: This study aimed to provide baseline data on the health care of children and the demand for visiting health care services in one region in efforts to support the implementation of visiting health care services for vulnerable children. Methods: Seventy-three children and their caregivers from the vulnerable social group and 82 children and their caregivers from the general group were selected as research participants. The data were collected through home visiting survey by professional nurses. Results: Children from the vulnerable social group were at higher risk of poor health care than the general group. Regarding home safety, vulnerable children were more likely to be exposed to unsafe conditions. With respect to nutrition, developmental play, developmental screening test, and home safety, visiting health care services were in demand for caretakers. Conclusion: These results indicate that to promote health care and safety conditions for vulnerable children, it is necessary to implement visiting health care programs that include the management of vaccination, medical check-up, growth and development, home safety, and nutrition. These findings can be used as the baseline data for the development of visiting health care programs for vulnerable children.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.19 no.3
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• pp.202-212
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• 2009

Objectives : The purpose of this study was to examine the relationship of stress, health problems, absenteeism, productivity and presenteeism in Korean and Japanese workers. Methods : Data was collected from April 12 to July 18, 2008 in both countries. The content of questionnaires was demographic factors, stress and the Stanford Presenteeism Scale. Korean data from 810 workers was collected and Japanese data from 822 workers was collected by same questionnaires of both language. SPSS 12.0 and AMOS 5.0 programs were used for data analysis. Results : The major health problems in relation to the impaired presenteeism of Korean workers were dizziness, allergy, headache and dysmenorrhea, and for Japanese workers were arthritis, depression, and diabetes mellitus. Impaired presenteeism was increasing when the numbers of health problems were increasing in both countries. In Korean workers, job-related stress and the numbers of health problems directly affected presenteeism. In Japanese workers, job-related stress, life-related stress and the numbers of health problems directly affected presenteeism. Conclusions : Health managers should include physical and psychological health management programs for presenteeism control in workplace. They can obtain a greater benefit through both programs.

• Research in Community and Public Health Nursing
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• v.26 no.1
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• pp.11-17
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• 2015

Purpose: This study was to ascertain whether there are differences in health care utilization and expenditure for Type I Medical Aid Beneficiaries before and after applying Copayment. Methods: This study was one-group pretest posttest design study using secondary data analysis. Data for pretest group were collected from claims data of the Korea National Health Insurance Corporation and data for posttest group were collected through door to-door interviews using a structured questionnaire. A total of 1,364 subjects were sampled systematically from medical aid beneficiaries who had applied for copayment during the period from December 12, 2007 to September 25, 2008. Results: There was no negative effect of copayment on accessibility to medical services, medication adherence (p=.94), and quality of life (p=.25). Some of the subjects' health behaviors even increased preferably after applying for copayment including flu prevention (p<.001), health care examination (p=.035), and cancer screening (p=.002). However, significant suppressive effects of copayment were found on outpatient hospital visiting days (p<.001) and outpatient medical expenditure (p<.001). Conclusion: Copayment does not seem to be a great influencing factor on beneficiaries' accessibility to medical services and their health behavior even though it has suppressive effects on outpatients' use of health care.

• Journal of Korean Public Health Nursing
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• v.19 no.2
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• pp.217-228
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• 2005

Purpose: The purpose of this study is to understand nursing students' experiences during clinical practice at a public health center. Method: This research used narrative inquiry far data collection. From April 2005 to June 2006, data collection was conducted by open-ended interview, questionnaire and close observation. The participants, who were student nurses, were willing to take part in this study. Results: On the basis of these data, the experiences of clinical practice at public health center were: 1) when the student nurses begin clinical practice at public health centers for the first time, most of the students feel fearful, nervous and stressed. They also mentioned having a hard time being polite to clients and the staff. 2) The students had new experiences at the health public center compared with clinical practice. Especially, the student nurses who were determined to be good nurses were doing home visiting care service. Not only did they have the opportunity to confirm their identity as nurses, but also the students change their career course from clinical nursing to public health nursing. 4) They reflected on themselves after home visiting care service. Conclusion: On the basis of these findings, the following recommendations are made. 1) Data collection and analysis are needed, net only through the narrative method, but also through other various qualitative methods. 2) Comparative study is necessary to enhance clinical experiences through the analysis of the interfering factors and the original experiences.

• Journal of the Korean Society of School Health
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• v.35 no.3
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• pp.92-103
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• 2022

Purpose: The purpose of this study was to prepare basic data for education and policy proposals related to enhancement of happiness by identifying factors affecting the subjective happiness among Korean adolescents by family type. Methods: The study was a secondary analysis using the raw data of the 16th Youth Risk Behavior Web-based Survey (2020). A complex sample multiple logistic regression analysis was conducted to identify factors affecting adolescent happiness by family type. Results: As a result, the factors that commonly affect the subjective happiness of adolescents for all family types were identified as economic status, academic performance, perceived stress, and loneliness. Additional factors that affect the subjective happiness of adolescents of both Korean two-parent and single parent families were sleep and subjective health status. Financial assistance, number of toilets, breakfast, exercise, depression, suicidal ideation, and suicide attempt were also reported for Korean two-parent families. Conclusion: This study provided empirical basic data for enhancing adolescent happiness in consideration of priority targets and family composition characteristics by identifying factors affecting subjective happiness by family type. Adolescent happiness is a factor that should be actively pursued at home, school, and society, and it should be the goal of education for holistic growth of students.

• Journal of Preventive Medicine and Public Health
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• v.28 no.1 s.49
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• pp.187-205
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• 1995

The purpose of this study was to determine the relationships among the health concern, health practice and health status of Koreans. This study utilized the data from Korean National Health Survey (KNHS) in 1992. The data consisted of random sample of 2,799 individuals (1,304 male and 1,495 females) whose ages were between 20 and 59. The data were analyzed using SAS version 6.04 and LISREL version 7.13. The analytic methods for the study were chi-square analysis and covariance structural analysis. The results of the study were as follows. (1) There were significant positive relationships between health concern level and health practice index, and between health practice index and self-perceived health status. (2) There were negative relationships between practice index and chronic illness, and between health practice index and acute illness only in female. (3) Based on the findings, the structural model of the health concern, health practice, health status and socioeconomic variables was established and then the covariance structural analysis was used. The higher educational level and economic status were, the higher the health concern was. And urban residents were much more concerned with their health than rural residents. The more persons were concerned with health, the more they did health practices. And the more the health practice was, the higher the health status was. The younger the persons were and the higher the health status of one's family was, the higher the health status was. In female, the higher the economic status was, the higher the health status was.

• Safety and Health at Work
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• v.10 no.3
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• pp.265-274
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• 2019

Background: Methyl alcohol poisoning in mobile phone-manufacturing factories during 2015-2016 was caused by methyl alcohol use for cleaning in computerized numerical control (CNC) processes. To determine whether there were health complications in other workers involved in similar processes, the Occupational Safety and Health Research Institute conducted a survey. Methods: We established a national active surveillance system by collaborating with the Ministry of Employment and Labor and National Health Insurance Service. Employment and national health insurance data were used. Overall, 12,048 employees of major domestic mobile phone companies and CNC process dispatch workers were surveyed from 2016 to 2017. We investigated methyl alcohol poisoning by using the national health insurance data. Questionnaires were used to investigate diseases due to methyl alcohol poisoning. Results: Overall, 24.9% of dispatched workers were employed in at least five companies, and 23.9% of dispatched workers had missing employment insurance history data. The prevalence of blindness including visual impairment, optic neuritis, visual disturbances, and alcohol toxicity in the study participants was higher than that reported in the national health insurance database (0.02%, 0.07%, 0.23%, and 0.03% versus 0.01%, 0.07%, 0.13%, and 0.01%, respectively, in 2015). Moreover, 430 suspicious workers were identified; 415 of these provided an address and phone number, of whom 48 responded (response rate, 11.6%). Among the 48 workers, 10 had diseases at the time of the survey, of whom 3 workers were believed to have diseases related to methyl alcohol exposure. Conclusion: This study revealed that active surveillance data can be used to assess health problems related to methyl alcohol poisoning in CNC processes and dispatch workers.

• Health Policy and Management
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• v.30 no.1
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• pp.15-25
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• 2020

While healthcare data sets include extensive information about patients, many researchers have limitations in analyzing them due to their intrinsic characteristics such as heterogeneity, longitudinal irregularity, and noise. In particular, since the majority of medical history information is recorded in text codes, the use of such information has been limited due to the high dimensionality of explanatory variables. To address this problem, recent studies applied word embedding techniques, originally developed for natural language processing, and derived positive results in terms of dimensional reduction and accuracy of the prediction model. This paper reviews the deep learning-based natural language processing techniques (word embedding) and summarizes research cases that have used those techniques in the health care field. Then we finally propose a research framework for applying deep learning-based natural language process in the analysis of domestic health insurance data.

• Journal of Preventive Medicine and Public Health
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• v.52 no.4
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• pp.234-241
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• 2019

Objectives: To identify simultaneous behavioral changes in alcohol consumption, smoking, and weight using a fixed-effect model and to characterize their associations with disease status. Methods: This study included 7 000 529 individuals who participated in the national biennial health-screening program every 2 years from 2009 to 2016 and were aged 40 or more. We reconstructed the data into an individual-level panel dataset with 4 waves. We used a fixed-effect model for smoking, heavy alcohol drinking, and overweight. The independent variables were sex, age, lifestyle factors, insurance contribution, employment status, and disease status. Results: Becoming a high-risk drinker and losing weight were associated with initiation or resumption of smoking. Initiation or resumption of smoking and weight gain were associated with non-high-risk drinkers becoming high-risk drinkers. Smoking cessation and becoming a high-risk drinker were associated with normal-weight participants becoming overweight. Participants with newly acquired diabetes mellitus, ischemic heart disease, stroke, and cancer tended to stop smoking, discontinue high-risk drinking, and return to a normal weight. Conclusions: These results obtained using a large-scale population-based database documented interactions among lifestyle factors over time.

• International journal of advanced smart convergence
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• v.10 no.2
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• pp.21-30
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• 2021

With the rapid development of artificial intelligence and big data, a lot of medical data is effectively used, and the diagnosis and analysis of diseases has entered the era of intelligence. With the increasing public health awareness, ordinary citizens have also put forward new demands for panic disorder health services. Specifically, people hope to predict the risk of panic disorder as soon as possible and grasp their own condition without leaving home. Against this backdrop, the smart health industry comes into being. In the Internet age, a lot of panic disorder health data has been accumulated, such as diagnostic records, medical record information and electronic files. At the same time, various health monitoring devices emerge one after another, enabling the collection and storage of personal daily health information at any time. How to use the above data to provide people with convenient panic disorder self-assessment services and reduce the incidence of panic disorder in China has become an urgent problem to be solved. In order to solve this problem, this research applies the context awareness to the automatic diagnosis of human diseases. While helping patients find diseases early and get treatment timely, it can effectively assist doctors in making correct diagnosis of diseases and reduce the probability of misdiagnosis and missed diagnosis.