• Journal of agricultural medicine and community health
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• v.46 no.4
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• pp.266-279
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• 2021

Objectives: The purpose of the study was to classify the health and medical service affairs of local governments, and to analyze the proportions of non-matching fund by local governments and central government subsidies for local government health budget. Methods: First of all, health affairs of local governments were classified to categories based on health-related laws and previous studies by review of the authors. In order to specify the scale of local government-led health affairs, we allocated 1,916 budget units into 6 main and 24 sub categories of the health and medical service affairs of local governments for the 2020 health budget of Jeju Special Self-Governing Province. For each categories, we compared the total amounts and the percentages of the 'central government subsidies', 'local government budget - matching fund', and 'local government budget - non-matching fund'. Results: The total health budget of Jeju Special Self-Governing Province accounts for 1.2% of the total budget. Of the total health budget of Jeju Special Self-Governing Province, the proportion of central government subsidies was 39.6% and the proportions of local government budget-matching fund and non-matching fund were 33.8% and 26.6%, respectively. The proportions of non-matching fund by provincial and basic local governments were 37.3% and 19.9%, respectively. Conclusion: In order for local governments to deal with the health problems of residents, it is necessary to secure and spend more local government budget(i.e., non-matching fund by local government) for health affairs in their administrative jurisdiction.

• 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.

• Health Policy and Management
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• v.7 no.2
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• pp.19-45
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• 1997

This study was performed to evaluate the appropriateness of resource allocation based on the ranking of health center function. Through the Delphi processes, health center functions were ranked in order of importance as follows; planning and research, followed by health education, health promotion, management of chronic diseases, health screening tests, welfare activities, mental health services, medical personnel management, medical services, prevention of communicable diseases, maternal and infant health services, housekeeping, management of oral hygiene, nutrition services, surveillance for community health services, family planning, and administration of the health center. In relation to the above priorities, the allocation of manpower was not appropriate. Even though the expert groups emphasized on functions such as planning and research, health education, and health promotion, they inputted more personnel for administration of a health center, maternal and infant health services, and medical services which were evaluated with lower importance. The budget allocation showed the same trends as the above. Although the functions such as planning and research, health education, and health promotion, and management of chronic diseases were evaluated highly, the budget was allocated accordingo to the the results of the former fiscal year rather than on the importance of function. However the budget for nutrition services, surveillance for the community health services, family planning, and administration of a health center was allocated according to priority. Based upon the above findings, community health center should be given the opportunity to make their own ranking of health center function and to allocate their resources including personnel and budget in order to improve the responsibilities and roles of the community health center.

• Health Policy and Management
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• v.13 no.2
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• pp.125-143
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• 2003

This study was conducted to estimate the future government budget in medical expenditures using for the low-income handicapped, because medical expenditures to the low-income handicapped is escalating in these days. It became a big problem not only to the central-government but also to the district-government because they have to subsidize a part of co-payment. This study was designed to project the future government budget using structural model. For the short-term projection, the structural model is stronger than the regression model. The data used for this study were the population projection data based on National Census Data(2000) of the National Statistical Office, the data of Ministry of Health & Welfare, and the data of National Health Insurance Corporation from November 2m to June 2001. The results of the study are summarized as follows: The future government budget in medical expenditures using to the low-income handicapped will be 15-18 billion Won in the year 2003, 16-23 billion Won in 2004, 18-30 billion Won in 2005, 19-38 billion Won in 2006 and 21-49 billion Won in 2007. It is predicted that they would be increasing rapidly. Therefore, the government budget in medical expenditures using for the low-income handicapped must be enlarged.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.14 no.2
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• pp.137-140
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• 2011

Research and development (R&D) is very important to acquire new knowledge in various fields. The significance of public R&D is also increasing, especially related to health policy making, establishing basic databases, and enhancing basic and clinical science. The total budget of general public R&D in Korea was approximately ten billon US Dollars in 2008, but the proportion of health care research was just below 10%. In private sectors, it was three times the amount allocated to the public budget. In this article, recent trends in public R&D in Korea, especially related to health care policy and biotechnology are summarized. A brief overview of the application process for a specific policy fund is also described for early-stage researchers in these fields.

• Journal of Environmental Health Sciences
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• v.43 no.2
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• pp.111-121
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• 2017

Objectives: In this study, an analysis was performed on local government adaptation plans for climate change focusing on the health sector. The limitations of past study results have been summarized and new research subjects for preparing for the advanced second period (2018-2022) of the local government adaptation plan for climate change have been suggested. Methods: First, a review of the literature related to vulnerability assessment and adaptation plans was performed. Next, a comparison among the 16 metropolitan governments' vulnerability assessment results and adaptation plans was made. Lastly, a classification of the adaptation policy and budgets to compare with their real budget amounts was performed. Results: The results show that there is a categorizing discrepancy between vulnerability assessment and adaptation policy. In addition, their adaptation budget amounts turned out to be too large in comparison with the actual budget amounts. Conclusion: The first period (2013-2017) local government adaptation plans for climate change had some limitations. This is because there was a rapid driving force for establishing adaptation plans under the green growth strategy in Korea. Now, we are confronting a risk of adaptation to climate change. By expanding this approach, the government would be able to set up a detailed policy to improve the plans during the second period.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.31 no.4
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• pp.396-416
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• 2021

Objectives: This study was conducted to analyze the trends of government R&D (R&D) projects related to laboratory safety over the past 20 years. Methods: We collected publications from various databases(DBs) with words such as laboratory(ies), lab(s), researcher(s), laboratory worker(s), safety, environment, hazard(s), risk(s), and so on. Selected publications were analyzed by the research funds and the number of projects according to the investment subject and research characteristics. Results: About 93% of the total R&D budget went to government policy projects, not scientific research. Second, from the perspective of 'safety management activities', most of the research is related to management and inspection at the organizational level. Issues that need to be discussed at the national level like policy governance are not included. Third, focusing on the 'safety management cycle', there were few studies related to 'prediction' or 'post-response'. Fourth, when an analysis framework combining the perspectives of 'safety management activities' and 'safety management cycle' is applied, most of the budget is spent on infrastructure such as digital management systems, whereas basic knowledge for prevention and production of evidence was very few. Conclusions: In order to prevent policy planning without policy evaluation, implementation without strategy, and evaluation without evidence, it is necessary to expand investment in empirical research on risks, research on the effectiveness of current application methods, and research on theory development. The government budget for laboratory safety-related projects should be managed separately from the R&D budget for scientific research. Although less than 5% of the budget allocated to scientific research is the total budget, an optical illusion occurs because both the project budget and the scientific research budget are counted as R&D budgets.

• Health Policy and Management
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• v.9 no.4
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• pp.15-40
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• 1999

To assess the university health service organization(UHSO) and its school health programs a questionnaire survey for all of 186 four-year colleges in Korea was conducted from December 1. 1998 to March 31. 1999. The response rate was 91.9 percent(171 universities). The UHSO was established in 116 universities(67.8%L The most common name of UHSO. used in 61 universities(52.6%). was school health center. Only 45(38.8%) of the 116 universities surveyed had a committee to support and run the UHSO. The percentage of universities that had committee was higher in national universities and those with a large number of students. The average number of staff working in the UHSO was 3.5; 4.6 in national universities; and 7.1 in universities with more than 15.000 students. There were 43 universities(37.1%) which had a part-time physician and 104 universities (89. 7%) had full-time nurses. Only 4 universities(3.4%) had a independent facility for the UHSO while most of UHSO were housed in other building. The UHSO had an independent budget in 86 universities(74.1%). The average budget per university was 46.890.000 won: private universities had more budget with 59.170.000 won on average than national universities with 36.990.000 won. The average budget allocated per student was 4.362 won. A regular physical examination was performed in 72 universities(62.1%). The percentage of university that performed regular physical examination was higher in private universities than in national universities. Health counseling was performed in 113 universities(97.4%) and vaccinations in 87 universities(75.0%). Medical care services were performed in 87 universities(75.0%). and the private universities and those with over 10.000 students provided the student with more services. Environmental sanitation was executed in 73 universities(62.9%) and health education was conducted in 68 universities(58.6%)' The school health management activities were promoted in 104 universities(89.7%) out of 116 universities with UHSO. Only 12 universities(10.3%) published reports on the achievements and performance of the UHSO. Only 29 universities(25.0%) had a continuing education for employees of the UHSO.

• Health Policy and Management
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• v.19 no.4
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• pp.98-120
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• 2009

The purpose of this study is to elicit preference for drug listing decision criteria and to estimate the ICER threshold in South Korea using the discrete choice experiment (DCE) method. To collect the data, a DCE survey was administered to a subject sample either educated in the principle concepts of pharmacoeconomics or were decision makers within that field. Subjects chose between alternative drug profiles differing in four attributes: ICER, uncertainty, budget impact and severity of disease. The orthogonal and balanced designs were determined through computer algorithm to take the optimal set of drug profiles. The survey employed 15 hypothetical choice sets. A random effect probit model was used to analyze the relative importance of attributes and the probabilities of a recommendation response. Parameter estimates from the models indicated that three attributes (ICER, Impact, Severity of disease) influenced respondents' choice significantly(p${\pm}$0.001). In addition, each parameter displayed an expected sign. The Lower the ICER, the higher the probability of choosing that alternative. Respondents also preferred low levels of uncertainty and smaller impact on health service budget. They were also more likely to choose drugs for serious diseases rather than mild or moderate ones. Uncertainty however is not statistically significant. The ICER threshold, at which the probability of a recommendation was 0.5, was 29,000,000 KW/QALY in expert group and 46,500,000 KW/QALY in industry group. We also found that those in our sample were willing to accept high ICER to get medication for severe diseases. This study demonstrates that the cost-effectiveness, budget impact and severity of disease are the main reimbursement decision criteria in South Korea, and that DCE can be a useful tool in analyzing the decision making process where a variety of factors are considered and prioritized.

• Health Policy and Management
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• v.26 no.3
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• pp.226-232
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• 2016

Background: This study was conducted to analyze the influence of socioeconomic characteristics of community on the food insecurity under the control of personal socioeconomic factors which may be influence to the food security. Methods: Food insecurity and individual socioeconomic characteristics were obtained from 2012 community health survey. Socioeconomic characteristics of communities were extracted from the data of Statistics Korea and local governments. Personal socioeconomic factors were sex, age, educational status, job, and monthly family income. Socioeconomic characteristics of communities were administrative district (urban vs. rural), senior population rate, degree of financial self reliance, degree of financial independence, portion of welfare budget, number of welfare facilities, and unemployment rate. We analysed the relationships between the food insecurity and socioeconomic characteristics of community using multi-level analysis under the control of personal characteristics. Results: On personal level age, sex, education status, and monthly family income were related with food insecurity. On community level administrative district (urban vs. rural), degree of financial independence, unemployment rate, and proportion of welfare budget among local general government accounts were related to individual food insecurity. Rural area, district with low levels of financial independence, low portion of welfare budget, and greater unemployment rate showed a higher level of food insecurity. Conclusion: To reduce the level of food insecurity in a community it is necessary to decrease the unemployment rate, in addition to providing support from the central government by increasing the proportion of the welfare budget so that both factors contribute to raising the degree of financial independence.