• Restorative Dentistry and Endodontics
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• v.40 no.2
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• pp.172-176
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• 2015

• Restorative Dentistry and Endodontics
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• v.42 no.1
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• pp.72-76
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• 2017

• Restorative Dentistry and Endodontics
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• v.44 no.3
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• pp.26.1-26.6
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• 2019

• Health Policy and Management
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• v.10 no.4
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• pp.99-115
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• 2000

This study was conducted to get a resonable set of budget allocation to public health programs. Matrix Delphi technique was used to obtain the logic of study results and eventually to form a human model which could predict opinion of professionals on budget allocation. Thirty-two professionals in academic and governmental area responded to Delphi survey. Questionnaire was developed using matrix formation, and the matrix was formed by 6 decision criteria on budget allocation and 26 public health programs. The decision criteria are as following: size of problem(morbidity), severity of problem, social equity, importance of prevention, technical feasibility and efficiency of programs. Severity of problem dropped out of the model because it had significant correlation with the size of problem. A total score of each program was obtained by weighting the relative importance of each criteria which also were given by survey respondents. These total scores indicate that the most important public health program is vaccination for infants and children in terms of budget allocation. Monitoring communicable diseases, mental health program, and anti-smoking program are the next. In addition, respondents were asked of the desirable budget size of each program. The result was rearranged by multiple regression model using the scores of each decision criteria. In this process, the current budget size of central government was provided to the respondents, and included in the model. h set of desirable budgets modified using tile model was obtained. Considering the current size of budget, tile results of the model is very different from that of the total score. Managing dementia is ranked the first. Health promotion program for the elderly, rehabilitation of the disabled and monitoring communicable diseases are the next. The need to increase the budget of vaccination for the infants and children was not found as so high. The matrix structure in Delphi survey gave us the precise basis to make optimal decision, and made it possible to develop an opinion predicting model. However the plentifulness and diversity of professional opinions were not fully obtained due to the limited number of decision criteria.

• International Area Studies Review
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• v.13 no.3
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• pp.239-267
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• 2009

Investment in health through an array of public health policies will lead to improvement of health at all levels, and the improved health can reduce the socioeconomic costs incurred with diseases. And finally, with reduced healthcare costs associated with diseases and health problems, economy will be able to achieve economic growth and development. Using simultaneous equations model, this study aims to identify this possible channel from public health policies to economic growth. Specifically, the policy effect is investigated on a basis of main disease groups and aging groups. The public health policies are proved to reduce healthcare costs related with disease groups including respiratory, digestive, circulative, and infectious disease, and with all age groups except 20~39 group. And the reduced healthcare costs have shown to increase the real gross domestic products in those group above.

• Health Policy and Management
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• v.30 no.4
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• pp.522-530
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• 2020

Background: In 2008, Korea implemented a new type of social insurance known as "long-term care insurance". We examined the association between ownership of long-term care facilities and the incidence of pressure ulcers after the implementation of "long-term care insurance". This study is a population-based retrospective cohort study from 2006 to 2013. Methods: We used medical claims data from the Korean National Health Insurance Corporate Elderly Cohort Database from 2006 to 2013. These data comprise a nationally representative sample. To avoid confounders, only patients admitted to one long-term care facility and who stayed for >70% of the follow-up time were included; as a result, 3,107 individuals were enrolled. The main independent variable was the operating entity of the long-term care facility (local government, corporate bodies, and private for-profit owners), and the dependent variable was the 1-year incidence of pressure-ulcers. Survival analysis (Cox proportional hazard model) was used as an analysis method. Results: Compared to patients admitted to local government long-term care facilities, patients admitted to private long-term care facilities had a significantly higher 1-year risk of pressure ulcers (hazard ratio [HR], 1.94; 95% confidence interval [CI], 1.29-2.91); the risk was especially high among patients who were cognitively dependent (HR, 2.34; 95% CI, 1.25-4.37). Conclusion: Patients admitted to private for-profit long-term care facilities were more likely to have pressure ulcers compared to those in local government and corporate body long-term care facilities. Appropriate assessment tools and publicly available information, as well as more restricted legal requirements, are needed to improve the care quality and outcomes of patients in long-term care facilities.

• Health Policy and Management
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• v.26 no.1
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• pp.12-23
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• 2016

Background: Many studies have explained regional disparities in health by socioeconomic status and healthcare resources, focusing on differences between urban and rural area. However some cities in Korea have the highest cardiovascular mortality, even though they have sufficient healthcare resources. So this study aims to confirm three hypotheses. (1) There are also regional health disparities between cities not only between urban and rural area. (2) It has different regional risk factors affecting cardiovascular mortality whether it is urban or rural area. (3) Besides socioeconomic and healthcare resources factors, there are remnant factors that affect regional cardiovascular mortality such as health behavior and physical environment. Methods: The subject of this study is 227 local authorities (si, gun, and gu). They were categorized into city (gu and si consisting of urban area) and non-city (gun consisting of rural area), and the city group was subdivided into 3 parts to reflect relative different city status: city 1 (Seoul, Gyeonggi cities), city 2 (Gwangyeoksi cities), and city 3 (other cities). We compared their mortalities among four groups by using analysis of variance analysis. And we explored what had contributed to it in whole authorities, city and non-city group by using multiple regression analysis. Results: Cardiovascular mortality is highest in city 2 group, lowest in city 1 group and middle in non-city group. Socioeconomic status and current smoking significantly increase mortality regardless of group. Other than those things, in city, there are some factors associated with cardiovascular mortality: walking practice(-), weight control attempt(-), deficiency of sports facilities(+), and high rate of factory lot(+). In non-city, there are other factors different from those of city: obesity prevalence(+), self-perceiving obesity(-), number of public health institutions(-), and road ratio(-). Conclusion: To reduce cardiovascular mortality and it's regional disparities, we need to consider differentiated approach, respecting regional character and different risk factors. Also, it is crucial to strengthen local government's capacity for practicing community health policy.

• 대한예방의학회:학술대회논문집
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• 2005.10a
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• pp.367-367
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• 2005

• Journal of Preventive Medicine and Public Health
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• v.41 no.6
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• pp.419-426
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• 2008

Objective: The purpose of this study was to investigate impact of knowledge familiarity, and prejudice about mental illness as well as demographic factors on the social distance from mentally ill people, which is a proxy measure of discrimination. Method: To assess the impact of knowledge and familiarity, prejudice about mental illness and demographic factors on the social distance from mental illness, we conducted a telephone survey in South Korea with the responders being nationally representative people who were 18 years old or over (n=1040). Independent samples T-tests, one way ANOVA and linear regression analysis were performed to analyze the results of the survey. Result: The social distance from mental illness decreased as the knowledge and familiarity increased, but the social distance was increased as prejudice was increased. Prejudice had a greater impact on social distance than familiarity and knowledge. Females showed greater social distance than did males. A higher education level had a negative effect on social distance. Conclusion: to reduce the social distance from mentally ill people, efforts to increase the familiarity about mental illness as well as efforts to educate people about mental illness are important.

• Health Policy and Management
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• v.31 no.3
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• pp.312-327
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• 2021

Background: Infection prevention and control (IPC) to manage healthcare-associated infection (HCAI) has emerged as one of the most significant public health issues in Korea. The purpose of this study is to draw implications in IPC policies by analyzing the context, process, and major actors in policy development and comparatively analyzing IPC policy contents of Korea with three other countries. Additionally, IPC policies were analyzed in the context of coronavirus disease 2019 (COVID-19) to provide implications for future pandemics and HCAI events. Methods: This study incorporates a qualitative approach based on document and content analysis, applying codes and thematic categorization. IPC policy contents are comparatively analyzed by adopting the concept model, developed by the World Health Organization, which consists of core components of IPC structure at the national and facility level. Results: National IPC policies were developed within a complex social and political context, through the involvement of various stakeholders. IPC policies in Korea place a high emphasis on establishing IPC programs and built environments in healthcare facilities, whereas there were potentials for improvement in policies involving patients and promoting a safety culture. IPC policies, which currently focus on general hospitals and certain functions of hospitals, should further be expanded to target all healthcare facilities and functions, to ensure more efficient and sustainable IPC responses in the current and future disease outbreaks. Conclusion: IPC is a complex policy arena and lessons learned from the analysis of existing policies in the context of COVID-19 should provide valuable strategic implications for future policies.