RÉSUMÉ
Objectives@#The purpose of this study was to estimate the financial cost required for dental health care coverage by integrating North Korea’s free medical care system and South Korea’s health insurance system, assuming the unification of North and South Korea. @*Methods@#North Korea’s health insurance and medical benefit finances were estimated based on the benefit content, benefit target, benefit level, dental service utilization rate, and dental care cost growth rate. @*Results@#The results of the financial estimate assuming an average annual growth rate of dental medical expenses of 5% were as follows. Assuming that the proportion of health insurance recipients was 0% and the proportion of medical benefit recipients was 100%, health insurance was estimated at 0 won and government spending on medical benefits was estimated at KRW 771.9 billion in 2022. Assuming that the proportion of health insurance beneficiaries was 97% and the proportion of medical benefit recipients was 3%, health insurance was estimated at KRW 8,241.3 billion and government expenditure on medical benefits was estimated at KRW 510.9 billion in 2052. In addition, the financial estimation results assuming an average annual growth rate of dental medical expenses of 10% were as follows. Assuming that the proportion of health insurance recipients was 0% and the proportion of medical benefit recipients was 100%, health insurance was estimated at 0 won and government spending on medical benefits was estimated at KRW 808.7 billion in 2022.Assuming that the rate of health insurance beneficiaries was 97% and the rate of medical benefit recipients was 3%, health insurance was estimated at KRW 34.858 trillion and government spending on medical benefits was estimated at KRW 2.1608 trillion in 2052. @*Conclusions@#If the rate of increase in dental medical expenditure is not controlled, it is possible that very high dental medical expenditure will become a significant social burden for both North and South Korea. A strategy needs to be developed to minimize the financial impact after unification and promote efficient integration of the dental healthcare system.
RÉSUMÉ
Purpose@#This study was conducted to examine the effects of uncertainty, social support, and sick role behavior on health-related quality of life in patients with peripheral arterial disease. @*Methods@#This study is a descriptive research using self-reporting questionnaire. Data were collected from 167 patients with peripheral arterial disease. Measurement tools were Multidimensional Scale of Perceived Social Support(MSPSS), Mishel's Uncertainty in Illness Scale (MUIS), Sick role behavior measurement tools and SF-36 Version I. The data were analyzed using descriptive statistics, correlation, and regression analysis by using SPSS/WIN 24.0. @*Results@#Factors that significantly influenced physical health-related quality of life were age (β=-.19, p=.010), monthly income (β=.17, p=.027), uncertainty (β=-.29, p<.001), and exercise and rest (β=.28, p<.001) that all together accounted for 32.6% of the variance. Factors that significantly influenced mental health-related quality of life were monthly income (β=.20, p=.015), drinking (β=.17, p=.040), uncertainty (β=-.24, p=.001), and exercise and rest in sick role behavior (β=.26, p=.003) that all together accounted for 18.2% of the variance. Social support was an insignificant factor on physical and mental health-related quality of life. @*Conclusion@#To improve the health-related quality of life of people with peripheral arterial disease, it is necessary to develop a systematic nursing intervention program including a strong support system, education, strategies for alcohol abstinence, and exercise and rest therapy.
RÉSUMÉ
Purpose@#This study was conducted to examine the effects of uncertainty, social support, and sick role behavior on health-related quality of life in patients with peripheral arterial disease. @*Methods@#This study is a descriptive research using self-reporting questionnaire. Data were collected from 167 patients with peripheral arterial disease. Measurement tools were Multidimensional Scale of Perceived Social Support(MSPSS), Mishel's Uncertainty in Illness Scale (MUIS), Sick role behavior measurement tools and SF-36 Version I. The data were analyzed using descriptive statistics, correlation, and regression analysis by using SPSS/WIN 24.0. @*Results@#Factors that significantly influenced physical health-related quality of life were age (β=-.19, p=.010), monthly income (β=.17, p=.027), uncertainty (β=-.29, p<.001), and exercise and rest (β=.28, p<.001) that all together accounted for 32.6% of the variance. Factors that significantly influenced mental health-related quality of life were monthly income (β=.20, p=.015), drinking (β=.17, p=.040), uncertainty (β=-.24, p=.001), and exercise and rest in sick role behavior (β=.26, p=.003) that all together accounted for 18.2% of the variance. Social support was an insignificant factor on physical and mental health-related quality of life. @*Conclusion@#To improve the health-related quality of life of people with peripheral arterial disease, it is necessary to develop a systematic nursing intervention program including a strong support system, education, strategies for alcohol abstinence, and exercise and rest therapy.