ABSTRACT
Moon Jae-in Care can be seen as a 2.0 version of Roh Moo-Hyun Care. Just as Roh Care failed to achieve its coverage rate goal and 30% share of public beds, Moon Care also failed to achieve its expected goal. The reason is that it followed Roh Care’s failed strategy.Failure to control non-covered services has led to a long way to achieve a 70% coverage rate and induced the expansion of voluntary indemnity insurance, resulting in increased public burden. The universal coverage of non-covered services caused an immediate backlash from doctors. And Moon government also failed to control the private insurance market. The expansion of publicly owned beds has not become realized and has not obtained public support. Above all, it failed to overcome the resistance of doctors and failed to obtain consent from budget power groups in the cabinet for public investment. It was also insufficient to win the support of civic groups. Communication with interested groups failed and the role of private health care providers was neglected. The next government should also continue to strengthen health care coverage, but it should prioritize preventing medical poor and create a consensus with both medical providers and consumers for the control of non-covered services. Ahead of the super-aged society, the establishment of linkage between medical services and long-term care and visiting health care or welfare services is an important task. All public and private provisions and resources should be utilized in the view of a comprehensive public health perspective, and public investment should be input in sectors where public medical institutions can perform more effective functions. The next government, which will be launched in 2022, should design a new paradigm for health care in the face of a period of transformation, such as the coming super-aged society in 2026 and the Fourth Industrial Revolution, and recognize that the capabilities of the health care system represent the nation’s overall capacity.
ABSTRACT
Background@#The purpose of this study is to investigate the factors affecting the healthy living practice rate such as non-smoking, moderate drinking, walking, and low-salt diet by elementary municipality (so called, ‘si-gun-hu’). @*Methods@#The 2016 Korean Community Health Survey was used for the analysis. The theoretical model is founded upon the Anderson model, and both the multiple linear regression analysis and the beta regression analysis was performed for estimation. @*Results@#As a result of the beta regression analysis, healthy living practice rate was found to be significantly higher in the areas with a less number of cigarette retailers, participating in healthy city projects, a low proportion of people who perceive their body type as obesity, a higher proportion of women, and a lower proportion of spouses. @*Conclusion@#In order to improve healthy living practices, the regulations on health risk businesses, the spread of Healthy City project, and policy efforts awaring obesity are recommended.
ABSTRACT
BACKGROUND: Antibiotic resistance has been becoming serious challenge to human beings. Overuse of antibiotics, especially, for infants is concerned, but studies are very few for the prescribing pattern of antibiotic use for infants. This study analyzes prescribing patterns of antibiotics in outpatients of preschool children with acute respiratory tract infections in South Korea. METHODS: Data are used from 2011 Health Insurance Review & Assessment Services-pediatric patients sample. Inclusion criteria is outpatient children (0 to 5 years) with top five frequent diseases. Prescription rates are analyzed by types of disease, provider, specialty, region, and ages. Binary or multinomial logit models are used to analyze determinants of providers' prescription pattern. RESULTS: The main findings are as follows. First, distributions of prescription rates are shown as L-shape or M-shape depending on the types of disease. Second, the prescription variation is so large among providers, where providers are polarized as a group with low prescription rates and the other group with high prescription rates, though the shapes are shown diversified across types of disease. Third, prescription rates appear to be lower in pediatrics and higher in ENT (ear-nose-throat). Fourth, broad spectrum antibiotics are widely used among children. Finally, the logit analysis shows similar results with descriptive statistics, but partly different results across types of disease. CONCLUSION: Antibiotics for respiratory tract infections of infants are used excessively with a large variation among providers, and especially broad spectrum antibiotics are used. The prescription guideline for antibiotics should be provided for each specific disease to reduce antibiotic resistance in the future.